# Bloom: Full Content > Bloom is the dating app that grows with you. It is an intentional dating experience for singles and a shared digital space for the committed relationship that follows. Bloom covers the whole relationship journey, from first match to first date to a lasting relationship, and it is built so the company succeeds when its users' relationships succeed. Bloom is a pre-launch company founded by Craig Cossairt, launching first in Utah. --- # About Source: https://www.bloom.date/about # About Bloom Bloom is the dating app that grows with you. It is an intentional dating experience for singles and a shared digital space for the committed relationship that follows. I'm Craig Cossairt, Bloom's founder, and this is why I'm building it. ## The problem I kept coming back to Most dating apps make their money when you stay single. Their best customer is someone who keeps swiping, keeps subscribing, and never quite finds the person who makes them want to close the app for good. It isn't a conspiracy, it's just the business model: when a match succeeds, a conventional app loses a paying user. Over time that pulls the whole experience toward endless browsing instead of real connection, and it is a big part of why so many people feel worn out by dating apps even though they are dating with real intention. I think that is backwards. The job of a dating app should be to help you find someone and build something that lasts, not to keep you in the feed. ## What Bloom does differently Bloom is built around your whole relationship journey: from match, to conversation, to planning a date, to going on it, to starting a relationship, to growing together. Most apps stop at the second step. Bloom is designed for all of it. In Dating Mode, the experience is more deliberate. Thoughtful prompts help you show who you actually are instead of relying on photos alone. You see your most compatible matches first, and the tools are built to help a conversation turn into a real first date rather than fade out in the chat. You can plan that date right inside your chat, with AI-assisted suggestions on Premium, and keep private notes on the people you are getting to know so the details don't slip away. The features that help you find a match, like preference filters and seeing who liked you, are free, because gating the things that genuinely help people connect would put us on the wrong side of the people we are trying to help. When you find your person, Bloom keeps going, because it is designed to be kept. Relationship Mode is a shared digital space for committed couples. The date planning and private notes you already rely on carry over, and you gain tools made just for the two of you: shared Journeys, Prompts, Milestones, and Insights. It is the reason for the name: a successful match is not the end of your time with Bloom, it is the start of a journey growing your relationship together. This is also what sets Bloom apart from everything else out there. Most dating apps don't have a couples mode at all, and the apps that are built only for established couples don't help you find a partner in the first place. Bloom is the only platform designed to do both, so a single experience can carry you from a first match to forever. That design has a quiet side benefit. On most dating apps, finding the app on a partner's phone is a red flag. Bloom is the opposite. Because of the transition to Relationship Mode, the app becomes something the two of you use together, the only dating app you would actually be glad to keep. ## How Bloom is built I am a solo founder with more than a decade of experience in product management. I know how to define what to build and who it is for, but I could not have written this app by hand. What changed is that I build Bloom with AI as a working partner. The same shift that is reshaping how software gets made is what lets one person design, build, and ship a real product and hold it to a standard that used to take a whole team. I treat AI as a coworker, not a gimmick, and it is a core part of both how Bloom gets made and how some of its features work. Bloom is honest about that: the AI-assisted features are clearly labeled, AI personalization can be turned off in Settings, and the features are there to help you, never to replace your own voice. ## Why this matters to me I am building Bloom because I want the apps people use to find love to be on their side. The backdrop is hard to ignore. The U.S. Surgeon General has called loneliness an epidemic, with roughly half of American adults reporting it. People are partnering later than any generation on record: the median age at first marriage has reached about 30 for men and 29 for women, up from the early twenties in the 1970s. Marriage rates have declined for decades, and the birth rate has fallen to a record low of around 1.6 births per woman. I read those numbers as a clear signal that how people form relationships has changed, and that the tools meant to help have not kept up. You can feel that gap in the apps themselves. Swipe fatigue is real, and so is the quiet sense that these products are built to keep you swiping rather than to help you actually find someone. People are dating with real intention and want relationships that last. The tools they reach for should want the same thing, and should keep being useful after the match instead of going quiet. That is the opportunity Bloom is built around, and it is the reason I am building it. Bloom grows when its users' relationships grow. That alignment is the whole idea, and it is the part I am least willing to compromise on. ## Where we are starting Bloom is launching first in Utah, along the Wasatch Front, and expanding from there. We are pre-launch right now, building toward our App Store release, and laying the groundwork for a community of people who want the same thing we do. If any of this resonates, I would love to have you with us early. Join the waitlist at [bloom.date](/) and be among the first in when we open the doors. Craig Cossairt Founder, Bloom Dating, Inc. --- # Pricing Source: https://www.bloom.date/pricing # Pricing Bloom Premium starts at $10 per month. The features that help you find a match are free for everyone. The $10 rate is the annual plan; monthly is $14.99. This page explains what you pay for, what you don't, and why Bloom is built that way. ## How Bloom makes money Bloom is built so that we grow when our users' relationships grow. Most dating apps work the other way around. They earn the most from people who stay single and keep swiping, which quietly puts the company's incentives at odds with the people using it. When a match succeeds on a conventional app, that app loses a paying customer. Bloom is designed for the opposite outcome. When two people match and their relationship grows, they keep using Bloom together in Relationship Mode, a shared space for committed couples. A successful match is not the end of your time with Bloom. It is the start of a longer chapter. That is what we mean by "the dating app that grows with you." Because of that, we made a deliberate choice about what we will and will not put behind a paywall. ## Why base features are free Seeing who liked you is free for every Bloom user. So are all preference filters, including filters for the things that matter most to you. In most dating apps, these two features are the main paywall. They are the levers the industry pulls hardest to convert free users into subscribers. Gating the tools that actually help you find a match would put us on the wrong side of the people we are trying to help, so we don't do it. ## What you get on each plan |Feature|Bloom Free|Bloom Premium| |-|-|-| |See who liked you|Yes|Yes| |All filters|Yes|Yes| |AI bio suggestions|Yes|Yes| |Matching and messaging|Yes|Yes| |Likes|5 per day|Unlimited| |AI date suggestions|Curated|AI-personalized| |Active Journeys (Relationship Mode)|2|Unlimited| |AI Journey sessions (Relationship Mode)|Manual|AI-generated| |Private Notes AI scan|No|Yes| |Ads|Banner ads|Ad-free| |Price|Free|From $10/month| ## What Bloom Premium includes Bloom Premium unlocks the power-user and AI-assisted features: unlimited likes, AI-personalized date suggestions, AI-generated Journey sessions, the Private Notes AI scan, and an ad-free experience. Bloom is not a free product, and Premium is how we fund the work. What Premium does not do is gate your ability to see who is interested in you or to filter for the kind of person you are looking for. Those stay free. ## What Bloom Premium costs Bloom Premium is $14.99 a month, or $119.99 a year, which works out to $10.00 a month. The free plan includes 5 likes a day. Prices can change over time, and we will say so on this page when they do. ## How one subscription covers both partners Bloom is a lifecycle product. It helps you find someone, and then it gives the two of you a shared digital space to keep growing together in Relationship Mode. Most dating apps don't have a couples mode at all, and the apps built only for established couples don't help you find a partner in the first place. Bloom does both. That is why one subscription covers both people. When you and your partner are both using Relationship Mode, only one of you needs to subscribe. You are not paying twice for the same shared experience. ## A note on ads Bloom shows banner ads to people on the free tier, in both dating and Relationship Mode. An ad-free experience is one of the benefits of Bloom Premium. We would rather be straightforward about that than imply Bloom is ad-free when it isn't. ## Try Bloom Bloom is launching in Utah. [Join the waitlist](/) to get early access when we open the doors. --- # FAQ Source: https://www.bloom.date/faq ## What is Bloom? Bloom is a dating app built around your whole relationship journey, from your first match to the committed relationship that follows. For singles, it is an intentional dating experience focused on finding one person rather than swiping endlessly. For couples, Relationship Mode is a shared digital space to keep growing together. The idea behind the tagline "the dating app that grows with you" is simple: Bloom does not stop being useful the moment you find someone. Bloom is launching first in Utah. ## Who founded Bloom? Bloom was founded by Craig Cossairt, its solo founder and CEO. Craig spent more than ten years working in software product management before starting Bloom Dating, Inc. He builds Bloom with AI as a working partner, which is what lets a single founder design, build, and ship a full product. [Read the founder story](/about) ## Is Bloom a real company, and when does it launch? Yes. Bloom Dating, Inc. is a real, incorporated company. Bloom is currently pre-launch and preparing for its App Store release. It will open first in Utah, along the Wasatch Front, and expand to new markets after that. There is no public launch date yet. The best way to get in early is to join the waitlist at bloom.date. ## What makes Bloom different from other dating apps? Most dating apps are built to keep you swiping, because an active single user is a paying user. Bloom is built around a different goal: helping you find one person and then build something lasting with them. It does not abandon you the moment you match. Relationship Mode keeps going after the dating phase, and the features that help you find a match, like seeing who liked you and all preference filters, are free for everyone. [See the pricing breakdown](/pricing) ## Is Bloom good for serious relationships? Yes. Bloom is designed for people who are dating with intention and looking for a relationship that lasts, not for casual dating. Everything about the experience, from thoughtful prompts to fewer but better matches to Relationship Mode for committed couples, is built around lasting connection rather than time spent in the app. ## Is Bloom built around swiping? No. Bloom is deliberately not a swipe-volume app. Instead of measuring how many profiles you can flick through, it uses thoughtful prompts and a calmer, more deliberate flow to help you find people you are genuinely compatible with. The goal is fewer, better matches and real conversations that turn into real dates. ## I'm tired of endless swiping. Is Bloom different? Yes. Bloom was built for exactly this frustration. Instead of an infinite feed designed to keep you scrolling, Bloom gives you a smaller set of thoughtful, more compatible matches and tools that help conversations become real dates. The goal is to help you find someone, not to keep you swiping forever. And because Bloom grows with you into your relationship, it stays useful long after the search is over. ## Is Bloom a good fit for people in their late 20s and 30s? Yes, and so is anyone else dating with intention. Bloom is for adults of any age (18 and over) who are past casual dating and want something that lasts. People in their late 20s and 30s are a natural fit, but the experience is built for anyone looking for a real relationship. It is built for daters who know what they are looking for and want tools that help a match become a relationship, rather than another profile to swipe past. ## Is Bloom for casual dating or for commitment? Bloom is built for commitment. It is for people who want a lasting relationship, and it is the only dating app that keeps supporting you after you find one. If you are looking only for casual dating, Bloom is probably not the right app for you. ## Is there a dating app that doesn't make me feel like inventory? This is a big part of why Bloom exists. Conventional dating apps can make people feel like interchangeable profiles in an endless feed. Bloom is designed to feel human: thoughtful prompts that show who you actually are, fewer but more meaningful matches, and a pace that respects your time and attention rather than competing for it. ## Is there a dating app that's safe to keep on my phone while I'm in a relationship? Yes, that is Bloom. On most dating apps, finding the app on a partner's phone is a red flag, and people delete those apps when they get into a relationship. Bloom is the opposite. Once you are in a committed relationship, you and your person both move into Relationship Mode, a shared space built for couples. Bloom on your phone is something the two of you use together, not something to hide. ## Does Bloom help couples stay together after they match? Yes, and this is what sets Bloom apart. After the dating phase, a couple can move into Relationship Mode, a shared digital space for committed couples. Most dating apps end at the match. Bloom is built to support the relationship that follows it. ## What is Relationship Mode? Relationship Mode is the part of Bloom for committed couples. Once two people are in a relationship, it becomes a shared digital space where they can keep growing together. You do not have to meet on Bloom to use it. If you are already together, you can onboard straight into Relationship Mode with your partner's pairing code, with no need to start in Dating mode first. It is the reason Bloom is described as the dating app that grows with you: the experience continues past the match instead of ending there. ## What features does Bloom have? While you are dating, Bloom includes Prompts that help you show who you really are rather than relying on photos alone, a matching experience focused on genuine compatibility instead of swipe volume, plus Date Planning and Private Notes to help you turn matches into real dates. When you move into Relationship Mode, you keep Date Planning and Private Notes and gain shared Journeys, Milestones, Insights, a shared Calendar, Lists, and Albums: everything you need to grow your relationship. Bloom Premium adds AI-assisted features such as AI-personalized date suggestions and AI Journey sessions. Every feature is built around the same goal: helping you find one person and then keep growing together. [Compare features by plan](/pricing) ## How does Bloom make money? Bloom makes money two ways. Free accounts are ad-supported, and Bloom Premium is an optional subscription that unlocks AI-assisted features and removes ads. Bloom deliberately does not charge for the features that help you find a match: seeing who liked you and all preference filters are free for everyone. Bloom is also designed so that couples keep subscribing together in Relationship Mode, which means Bloom grows when its users' relationships grow. [Read the full pricing page](/pricing) ## Does Bloom make money when relationships succeed instead of when people stay single? That is the core idea behind Bloom. Conventional dating apps lose a paying customer every time a match succeeds, so their incentives quietly favor keeping people single and swiping. Bloom is built the other way around. When two people match and their relationship grows, they keep using Relationship Mode together, so a successful match keeps a Bloom customer rather than losing one. ## Is Bloom free to use? Yes. Bloom is free to download, and the core experience is free to use, including seeing who liked you and all preference filters. Bloom Premium is an optional subscription that adds AI-assisted features and removes ads. You never have to pay to find a match on Bloom. ## How much does Bloom Premium cost? Bloom Premium costs $14.99 a month, $38.99 for three months, or $119.99 a year ($10.00 a month, billed annually). The core experience, including seeing who liked you and all preference filters, is free. Premium adds AI-assisted features, unlimited likes, and an ad-free experience. In Relationship Mode, one subscription covers both people. Pricing can change over time, so see the pricing page for current details. [See current Premium pricing](/pricing) ## Is seeing who liked you free on Bloom? Yes. Seeing who liked you is free for every Bloom user, and so are all preference filters. In most dating apps these are the main paywall and the biggest lever for turning free users into subscribers. Bloom does not gate the tools that help you find a match, because gating them would put the company on the wrong side of its users. ## Does Bloom show ads? Bloom shows banner ads to people on the free tier, in both Dating and Relationship Mode. An ad-free experience is one of the benefits of Bloom Premium. Bloom is upfront about this rather than implying the free tier is ad-free when it is not. ## Does Bloom use AI? Bloom uses AI to power optional features such as personalized date suggestions and Journey sessions, which are part of Bloom Premium. The founder also builds the product with AI as a working partner. AI is a tool inside Bloom, not the point of it. The point is helping people find and keep a lasting relationship. ## Is Bloom available in Utah? Yes. Utah is Bloom's first market. Bloom is launching along the Wasatch Front and is built for Utah singles who are dating with the long term in mind. By the Census Bureau's 2024 American Community Survey, Utah has the youngest median age at first marriage for women and the highest marriage rate of any state: 24.5 women married in the past year per 1,000 women 15 and older, against 16.7 nationally. That makes it a natural home for an app built around lasting relationships. ## Is Bloom available in Salt Lake City? Yes. Salt Lake City is part of Bloom's Utah launch. Bloom works across the Wasatch Front, including Salt Lake City, Provo, Ogden, Lehi, and the surrounding communities, helping singles meet people nearby who want the same thing they do. ## How do I get Bloom? Bloom is preparing for its App Store launch and is not downloadable yet. Join the waitlist at bloom.date to be among the first to get access when Bloom opens in Utah. The waitlist is the best way to be notified the moment Bloom is available. --- # Dating in Utah Source: https://www.bloom.date/utah # Dating in Utah Bloom is a dating app launching first in Utah, along the Wasatch Front. This page explains why we chose Utah as our first market and what intentional dating looks like here. ## Why Bloom is starting in Utah Utah is one of the most relationship-oriented states in the country. In 2024 it had the youngest median age at first marriage of any state for women, 25.2, and tied with Arkansas for the youngest for men, 27.2. It also had the highest marriage rate of any state: 24.5 women married in the past year for every 1,000 women 15 and older, against 16.7 nationally. And 53.7 percent of Utah residents 15 and older are married. (U.S. Census Bureau, American Community Survey 2024, tables B12007, B12501 and S1201.) Whatever the reasons behind those numbers, the pattern is clear: people in Utah tend to date with the long term in mind. That makes Utah a natural home for Bloom. Most dating apps are built for endless swiping, because a single user who keeps swiping is a paying user. Bloom is built for the opposite kind of person: someone dating on purpose, looking for a relationship that lasts. In Utah, that describes a lot of people. ## The Wasatch Front Most of Utah's population lives along the Wasatch Front, the corridor of cities running from Ogden through Salt Lake City and Lehi down to Provo. Salt Lake County alone is home to more than 1.2 million people, and the region keeps growing, fastest in Utah County, home of Silicon Slopes, which grew 15.2 percent from 2020 to 2025 (U.S. Census Bureau population estimates, July 1, 2025). It is a dense, young, fast-growing region, and that is good news for anyone dating here. A larger, more concentrated pool of singles means better matches and shorter distances between them. Bloom is starting where the people are. ## What intentional dating looks like Bloom is the dating app that grows with you. Instead of optimizing for time spent swiping, it is designed to help you find one person and then build something real with them. You can read more about [why we are building Bloom](/about). For singles, that means a more deliberate experience. Bloom uses thoughtful prompts to help you show who you actually are, puts your best matches first, and gives you tools that help a conversation turn into a real first date instead of fading out in the chat. Seeing who liked you and every preference filter are free, because the features that help you find someone should not sit behind a paywall. That is part of [how Bloom makes money](/pricing): we grow when relationships grow, not by keeping you single. For couples, Bloom keeps going. Relationship Mode is a shared digital space for committed couples to keep growing together, with shared journeys, date planning, and private notes that only you can read. A successful match is not the end of your time with Bloom. It is the start of a longer chapter. > From first match to first date to forever. In a state where so many people are dating with the long term in mind, an app that does not abandon you the moment you find someone is a better fit than an app designed to keep you single and swiping. ## Salt Lake City, Provo, Ogden, and beyond Bloom works anywhere along the Wasatch Front. Salt Lake City brings together a wide mix of singles across its neighborhoods and a full social calendar. Provo and Orem are younger and student-heavy. Ogden, Lehi, and the fast-growing suburbs in between round out the corridor. Wherever you are on the Wasatch Front, Bloom is built to help you meet people nearby who want the same thing you do. Starting in one region also means Bloom can do the basics well. A dating app is only as good as the people on it, so launching market by market keeps the community local, active, and real rather than thin and scattered. ## Join the Utah waitlist Bloom is opening first in Utah. [Join the waitlist](#waitlist) to be among the first to use it when we launch along the Wasatch Front, with new cities and states to follow. --- # Features Source: https://www.bloom.date/features ## Before the match A profile that sounds like you, verified as you, with your real free evenings on it. - **Onboard your way.** Fill in a profile, talk it through in a voice conversation, or chat with Bloom's assistant. Three ways to the same honest profile. - **Prompts that beat bios.** At least three prompts on every profile, so you show who you are instead of describing it. - **Selfie verification.** A quick liveness check earns a verified badge. Real people, on purpose. - **Preferences and availability.** Set what matters to you, and the evenings you are actually free, so dates fit real life. Everything here is free. ## The match One profile at a time and a like aimed at what caught you. - **One profile at a time.** No deck to flick through. A whole profile, prompts and all, and you decide with intention. - **Like the photo or the prompt.** Like the exact photo or prompt that caught you and add a note, so the first message has somewhere to start. - **See what you share.** Your most compatible profile each day is marked, and one tap shows what you share. - **See who liked you, free.** The feature every other app charges for. On Bloom it is for everyone. - **Matches and chat.** A reciprocal like opens a conversation, with voice notes and photos when words are not enough. Five likes a day free, unlimited on Premium. Seeing who liked you and every filter are free for everyone. Most apps stop here. Bloom keeps going. ## The date From "we should hang out" to a Thursday at seven. - **Plan the date inside the chat.** A time, a place, a real plan. Bloom turns the conversation into a date without leaving it. - **Ideas that fit you both.** Date suggestions built from your shared free time and the things you actually like, with venue search built in. - **Private notes.** Keep the details that matter about someone you are getting to know. Only you can see them. Curated suggestions free, AI-personalized on Premium. ## Together Pair up, and you get a space of your own. Relationship Mode opens: one private space for just the two of you, with your own chat, plans and memories. - **Pair with a code.** Enter your partner's pairing code or scan it. You do not have to have met on Bloom. - **One home for two.** A shared dashboard: what is next, what is new, and the things you are building together. - **Journeys.** Guided series for the two of you, picked from a growing library, one session at a time. - **Couple prompts.** Questions worth answering together, with a history you can revisit. - **Games for two.** Quizzes, this-or-that and date sparks you play together, then compare answers. - **Everything you share, in one place.** The Together tab keeps your lists, calendar, albums, journeys and notes a tap apart. - **Lists, calendar, albums.** Restaurants to try, dates on the calendar, photos in one place. Shared by default. - **Milestones and Insights.** Mark what happened. See what is changing. - **Private Notes, still yours.** Your notes carry over, and Premium adds an AI scan. Two active Journeys free, unlimited on Premium; AI-generated sessions are Premium. One subscription covers both of you. --- # Blog: A thank-you that lasts until tomorrow Source: https://www.bloom.date/blog/everyday-gratitude-couples Your partner refills your coffee before you ask, or takes the dog out on the night you got home late. Two feelings can show up after a moment like that. One is thanks. The other is a quiet ledger entry: now I owe them one. They feel close, and they often arrive together. In one study of couples, they did very different things to the relationship. ## Two weeks of bedtime notes Sara Algoe, Shelly Gable and Natalya Maisel asked [67 couples who lived together to fill out a short form every night for two weeks](https://greatergood.berkeley.edu/images/uploads/Algoe-Gable-Maisel-2010-Its-the-little-things.pdf), each partner on their own. Did your partner do something thoughtful for you today? Did you do something thoughtful for them? How grateful did you feel because of what they did, and how indebted? How did the relationship feel today? They published the results in 2010 as [It's the little things](https://doi.org/10.1111/j.1475-6811.2010.01273.x), and the [full paper](https://greatergood.berkeley.edu/images/uploads/Algoe-Gable-Maisel-2010-Its-the-little-things.pdf) is free to read. The first thing the diaries show is how often these moments slip by. Thoughtful acts were common, but on the days one partner wrote that they had done something thoughtful, [the other often did not notice](https://greatergood.berkeley.edu/images/uploads/Algoe-Gable-Maisel-2010-Its-the-little-things.pdf). ## Thanks moved the relationship. The debt did not. When people felt grateful one day, they tended to feel better about the relationship the next day, even after accounting for how the relationship already felt. For men, both connection and satisfaction rose. For women, satisfaction rose only marginally and connection did not. Feeling indebted, the owe-them-one feeling, predicted nothing about the next day for either. Gratitude also reached across the couch. On days one partner felt grateful, the other partner reported feeling more connected and more satisfied with the relationship that same day. A man's sense of indebtedness showed a smaller version of that link for his partner, and it disappeared once gratitude was taken into account. :::pullquote Feeling thankful lined up with a better next day. Feeling like you owed them one did not. ::: Algoe later described gratitude as a signal that helps people find a responsive partner, remind themselves they have one, and bind the two of them closer, in a review called [Find, remind, and bind](https://doi.org/10.1111/j.1751-9004.2012.00439.x). The diary is one small look at that idea in daily life. This is a different moment from the one in [how your partner responds to good news](/blog/how-your-partner-responds-to-good-news). That post is about what happens when you share something good that happened to you. This one is about how you take something good your partner did for you. ## What this does not show The diary tracked feelings day to day without assigning anyone to feel grateful, so it shows a pattern rather than proof that gratitude causes a better tomorrow. The couples were young, mostly unmarried, living together near one West Coast campus, and already quite happy, which left little room to improve. The next-day links were small. Both held for men; for women, satisfaction was marginal and connection did not hold. The study also measured the feeling, not whether anyone said thank you out loud. ## Noticing comes first Many thoughtful acts in this study went unnoticed by the person they were for, so the useful habit starts before any feeling: catch the small thing when it happens. The refilled cup, the errand you did not have to run, the quiet hour they gave you on a hard day. When you do catch it, pay attention to which feeling arrives. If it is the urge to settle up, to get the next coffee so the score stays even, these diaries did not tie that feeling to a better next day. Plain thanks went with more connection the next day for men, though not for women, and more connection that same day for the partner on the other side. --- # Blog: What 'invite a friend to unlock' does to your matches Source: https://www.bloom.date/blog/referral-toll-freemium-dating You open a dating app and see a badge. Three people looked at your profile, and one sent a message. Tap it, and the app offers a deal: pay for a month, or invite friends until enough of them join, and the message is yours. That screen is a pricing decision, and one dating site tested it on its own members. The harder the site made it to unlock, the more money it collected and the less everyone dated. ## The experiment For a 2015 launch in a major European city, a selective dating site that screened new members by hand gave each newcomer a randomly assigned referral rule. Some had to bring in one approved friend before they could see who had viewed their profile or messaged them. Others had to bring in more. A further round of friends unlocked winks and matches. Under every rule, a paid subscription opened everything. Rodrigo Belo and Ting Li [followed 52,782 new members through their first eight weeks](https://doi.org/10.1287/mnsc.2022.4301) and published the results in Management Science in 2022. The paper does not name the site. ## What a higher bar did Asking for more friends did what the site wanted on paper. Members sent more invitations, more of those friends joined, and more members paid. Moving from a one-friend rule to a three-friend rule [raised what the average new member paid](https://doi.org/10.1287/mnsc.2022.4301). It also made the site quieter. Members on the stricter rules visited less, looked at fewer profiles, and sent fewer messages, winks and likes. They made fewer matches too, whether a match meant a mutual like or a real back-and-forth of messages. The [paper's tables](https://doi.org/10.1287/mnsc.2022.4301) give the size of each shift. The drop was not spread evenly. Under the stricter rules, members who went out and recruited friends used the site more. The pullback came from members who paid and from members who did neither. :::pullquote The harder the site made it to unlock, the more money it collected and the less everyone dated. ::: ## Why your matches feel it The authors point to two possible explanations. A higher bar meant members waited longer to see who had written to them, and members who could not read their messages logged in less. Once someone unlocked premium, they used the site more. Members with friends on the site also stayed more active, and a stricter rule left the paying members with fewer friends there. The part that reaches you is what happens next. A dating site is only as good as the people answering. Every member who stops logging in because a message sits behind a gate is someone who is not replying to anyone else. In the authors' words, members became less engaged, "decreasing the value of the platform for all users." A locked inbox is not only a cost to the person staring at it. It thins the room for everyone, which is the gap we wrote about in [engagement metrics vs. relationship outcomes](/blog/engagement-metrics-vs-relationship-outcomes): an app can make more money while the thing you came for gets harder. ## What this does not show This was one site in one city, measured over each member's first eight weeks. It counted visits, messages and matches inside the site, not relationships, and the authors note that people also go quiet on a dating site because they met someone. Whether a large app works the same way today is an open question. ## Reading the gate on your own app When an app shows you that someone wrote and then asks for money or friends before you can read it, that wall is where the company decided to put its price. On this one site, a stricter gate went with quieter weeks, so a slow week behind one may say more about the gate than about you. Inviting a friend is a fair trade only if that friend wants to date there. On this site, friends who joined under the stricter rules paid and visited about as much as anyone else, so a higher bar did not bring in worse members. It asked more of the people already inside, and the ones who paid or waited came back less often. If you decide to pay or invite, decide early. On this site, members used it more once they could see who had written to them, and every week spent behind the gate was a week of messages going unanswered. --- # Blog: Magnanimity is a relationship skill, not a temperament Source: https://www.bloom.date/blog/magnanimity-is-a-relationship-skill The impressive part of a durable relationship is rarely the speech after a big betrayal. It is the 10 seconds after a small slight, when you could escalate and you do not. That moment gets talked about as if it were a personality type. Some people are just built that way. Everyone else is keeping score. The research that actually measured the moment treats it as a change you can make, and as a next move you can practice. It also names the places those skills should not be asked to go. ## Forgiveness is a change of motive In 1997, Michael McCullough, Everett Worthington, and Kenneth Rachal published [Interpersonal forgiving in close relationships](https://doi.org/10.1037/0022-3514.73.2.321) in the Journal of Personality and Social Psychology (volume 73, pages 321 to 336). PubMed: [9248052](https://pubmed.ncbi.nlm.nih.gov/9248052/). They did not define forgiveness as a feeling that arrives, or as a decision to pretend nothing happened. They defined it as a shift in what you are inclined to do: less pull toward revenge, less pull toward staying distant, more pull toward conciliation and goodwill, even though the other person hurt you. The everyday word "forgave" is the label people put on that shift after it has started. The pathway they tested is empathy. Not a general warm personality. Empathy for this person, in this offense: some ability to feel with them, or at least to take their perspective, after the sting. Study 1 asked 239 undergraduates (mean age 19) to think of someone who had treated them unfairly. People who saw a fuller apology also reported more forgiveness, and that link ran through empathy for the offender. Forgiveness, once you held empathy constant, was still tied to more conciliatory behavior (trying to make amends, taking a step toward the person) and less avoidance (keeping distance, withdrawing). Study 2 tried to raise empathy on purpose, in an intervention, to see whether the forgiveness numbers moved with it. The authors say the results generally supported the empathy link, which is more careful than "empathy training makes you forgive." :::pullquote Forgiveness, in this program of research, is a change in what you are inclined to do. Empathy for the specific person is the usual on-ramp. ::: If you cannot get there yet, that is information about the offense, the apology, or the relationship. It is not a moral grade. The 1997 paper is describing a path some people take after a hurt. It is not a deadline. ## Accommodation is the next move McCullough and colleagues note that their definition sits next to a slightly earlier idea from Caryl Rusbult's lab. In 1991, Rusbult, Julie Verette, Gregory Whitney, Linda Slovik, and Isaac Lipkus published [Accommodation processes in close relationships](https://doi.org/10.1037/0022-3514.60.1.53) in the same journal (volume 60, pages 53 to 78). A [PDF of the paper](https://faculty.wcas.northwestern.edu/eli-finkel/documents/32_RusbultVeretteWhitneySlovikLipkus1991_JournalOfPersonalityAndSocialPsychology.pdf) is posted on Eli Finkel's faculty page. Accommodation is narrower than forgiveness, and more practical on a Tuesday. When a partner has just done something destructive, or careless, or sharp, can you inhibit the impulse to answer in kind and respond constructively instead? They sort the replies along two axes, active or passive and constructive or destructive: - **Exit** is active and destructive: threatening to end it, attacking, escalating. - **Voice** is active and constructive: naming the problem, asking for a change, working the thing. - **Loyalty** is passive and constructive on paper: waiting, hoping it blows over, absorbing it. - **Neglect** is passive and destructive: withdrawing, letting it rot, picking a fight about something else. Voice and loyalty are the "constructive" pair in the typology. Exit and neglect are the destructive pair. Constructive here means for the relationship, not automatically for you. Leaving can be the right act for a person and still count as exit in this scheme. Across six studies, people were more willing to accommodate when they were more satisfied, more committed, more invested, when the relationship sat closer to the center of their life, and when they were better at taking the partner's perspective. Commitment did a lot of the mediating work. Alternatives that looked good pulled the other way. In the sixth study, couples who were functioning better also showed more shared willingness to inhibit the destructive reply, and self-reports of accommodation lined up with related behavioral measures. None of that says a generous person is a better person. It says the people with more to protect, and a clearer view of the other side, were more likely to swallow the first retaliatory move. ## Where the skill stops Two failures get sold as the same virtue, and they are not. **Forgiveness is not a reason to stay in abuse.** The 1997 studies asked students about a single hurtful offense. They did not measure safety, and nothing in them argues for staying with someone who is still harming you. You can stop wishing them ill and still leave. You can leave and still take years to feel any goodwill. Both of those are compatible with the definition. **Accommodation is not being a doormat.** Inhibiting the destructive impulse is the first half of Rusbult's definition. The second half is a constructive response. Voice is the half that names the problem. Loyalty, the quiet absorb-and-wait box, is the one that most often gets confused with maturity. It can be the right pause after a small slight. Used as a policy, it trains the other person that the slight does not cost anything, and it trains you to disappear inside the relationship. In the sixth study, couples who held back from destructive replies more often were less distressed, and it mattered whether both people did it. We have already written about [what a partner does with your good news](/blog/how-your-partner-responds-to-good-news). That research is about the moment after something goes right. This one is about the moment after something goes wrong. They are two skills, and neither replaces the other. ## Does any of this help the person doing it? In 2008, Giacomo Bono, McCullough, and Lindsey Root published [Forgiveness, feeling connected to others, and well-being](https://doi.org/10.1177/0146167207310025) in Personality and Social Psychology Bulletin. A [PDF of the paper](https://pages.ucsd.edu/~memccullough/Papers/forgiveness_feeling_connected_pspb.pdf) is posted on McCullough's page. In two student samples followed over time, they tracked how forgiving people felt toward someone who had recently hurt them, alongside life satisfaction, mood and physical symptoms. On days when people were more forgiving than was typical for them, they also tended to report more well-being. The link was stronger when they had been closer and more committed before the offense, and when they saw a fuller apology, and feeling close to the other person seemed to explain it. The link was modest, and it ran in both directions. These were undergraduates, mostly about recent campus offenses, so this is research about restoring a relationship that still has something in it. ## What to do with a small slight **Name the impulse before you use it.** The first move after a sharp comment is often exit or neglect dressed up as honesty. "I am about to punish this" is a more useful sentence than "I am being clear." **Prefer voice to loyalty when the thing will recur.** A one-time clumsiness can be absorbed. A pattern needs a sentence. "When you did X, I went quiet, and I do not want to keep doing that" is accommodation in the voice box. Waiting to see whether they notice is the loyalty box, and it is a poor plan for anything you actually need to change. **Let empathy be specific.** The 1997 path is not "be a more empathetic person." It is "can I see this offense from their side without erasing what it did to me?" Sometimes the answer is no. That answer is allowed. **Do not outsource the decision to temperament.** "I am not a forgiving person" ends the skill before it starts. "I am not ready to feel goodwill, and I am not going to escalate this Tuesday" is a move you can make tonight. **Watch whether it is mutual.** If you are the only person holding back the destructive reply, notice it. Restraint that only runs one way is a workload, not a shared habit. ## A short delay and a different motive Magnanimity, in the sense these papers support, is ordinary. You feel the pull to get even, or to go cold, and you do not take it. You answer in a way that leaves the relationship a place to stand, or you leave because it is not one. --- # Blog: More options, worse choices: what choice overload does to dating Source: https://www.bloom.date/blog/more-options-worse-choices-choice-overload-dating The search tools on dating sites are sold as a way to find a better fit from a larger pool. When researchers actually handed people more profiles, they searched more and chose worse. That says nothing bad about anyone's taste. The person who keeps opening one more profile is doing what a large list invites. ## What happened when the list got longer In 2009, Pai-Lu Wu and Wen-Bin Chiou published [More options lead to more searching and worse choices in finding partners for romantic relationships online](https://doi.org/10.1089/cpb.2008.0182) in CyberPsychology & Behavior (volume 12, pages 315 to 318). PubMed: [19250015](https://pubmed.ncbi.nlm.nih.gov/19250015/). 128 Taiwanese late adolescents and adults with experience in online romantic relationships took part. Each person first entered the traits they wanted in a partner. Then they were randomly assigned to one of three sizes of recommended list. A later paper from the same lab describes those sizes as the top 30, 60, or 90 rankings from a dating-site search. The researchers watched four things: how many profiles people opened, how far the profiles they viewed sat from their own stated preferences, how far the person they finally picked sat from those preferences, and how selectively they spent their time (more time on better matches, less on worse ones). The data went the way they predicted. A longer list produced more searching. It also produced a worse final pick, measured as a larger gap between the chosen profile and the traits the person had just said they wanted, and poorer selectivity. Wu and Chiou's reading is that a large set spends the attention you need to ignore irrelevant details and to screen out a weak option. :::pullquote A longer list produced more searching and a worse final pick, measured against the preferences people had just written down. ::: None of those people went on a date in this study. "Worse" here means a larger mismatch on a checklist, not a worse relationship. Still, the tool that was supposed to save effort produced extra search, and the extra search did not buy a closer fit. ## The people who try to pick the best pay more for the extra names A year later, Mu-Li Yang and Chiou published [Looking online for the best romantic partner reduces decision quality](https://doi.org/10.1089/cyber.2009.0208) in Cyberpsychology, Behavior, and Social Networking (volume 13, pages 207 to 210). PubMed: [20528280](https://pubmed.ncbi.nlm.nih.gov/20528280/). A [PDF of the paper](https://thematchmakingsociety.nl/wp-content/uploads/2022/09/Yang-and-Chiou-2010.pdf) is posted by The Matchmaking Society. They asked whether the "more-means-worse" pattern is stronger for people who try to maximize, in Herbert Simon's sense: search until you find the best, rather than stop at good enough. 112 teenagers and late adolescents in southern Taiwan, aged 15 to 23, completed a maximizing scale and were then assigned to a shorter list (the top 40 rankings) or a longer one (the top 80). Maximizers opened a larger share of the list than satisficers did, in both conditions. The longer list still produced worse final picks and weaker selectivity overall. That damage was larger for maximizers. On the preference-difference score (0 to 16 mismatches with the person's own stated traits), maximizers moved from a mean of 5.64 on the short list to 10.71 on the long one. Satisficers moved from 4.75 to 6.64. The sample is young and "quality" is still checklist fit, so read those as lab scores. The point is narrower: the people most determined to find the best were the ones the long list hurt most. If that is you, the problem is the load, not that you want too much. ## Variety confuses the room, even when the count is held still Number of names is one kind of load. How differently those names differ from each other is another. In 2011, Alison Lenton and Marco Francesconi published [Too much of a good thing? Variety is confusing in mate choice](https://doi.org/10.1098/rsbl.2011.0098) in Biology Letters (volume 7, pages 528 to 531). PMC: [PMC3130243](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130243/). PubMed: [21367779](https://pubmed.ncbi.nlm.nih.gov/21367779/). They analyzed yes-or-no decisions from 84 commercial speed-dating events: 1,868 women and 1,870 men, each sitting through a series of three-minute mini-dates. Variety was not headcount. For each side of each event they measured how much the available dates varied in age, height, education, occupation, smoking, religion, and body mass, then averaged those standardized variances into one score. Variety and number of options were only weakly related (r = 0.25), so the two can be told apart. As variety rose, the number of yeses fell. People were also less likely to choose the person the rest of the room preferred, and more likely to choose nobody. Both of those patterns are what you would expect if the extra spread made the decision harder, rather than if it simply made people pickier. The drop in yeses was stronger when more opposite-sex daters were present, which is the combination a large, mixed feed produces every night. Nobody was assigned to a more or less varied night, and picking the person the room preferred is not the same as finding the right person for you. Treat it as a real-world pattern that matches the lab results, not as proof. A year earlier, the same authors used those same 84 events in [How humans cognitively manage an abundance of mate options](https://doi.org/10.1177/0956797610364958) in Psychological Science (volume 21, pages 528 to 533). When choosers faced abundant options, they paid more attention to traits that are quick to see, such as height and weight, and less attention to traits that take longer to evaluate, such as education and occupation. A large set does not only slow you down. It changes what you are even using to decide. ## This is not the inventory feeling We have already written about a different cost of the same volume: [the feeling of being treated like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). That post is about what an endless feed does to how you are seen, and how you start to see other people as stock. This one is about what the feed does to the person choosing. You can feel respected in a room and still choose badly because the room is too large, or too mixed, to compare. None of these studies followed anyone into a relationship, and checklist fit is a thin stand-in for whether you will like someone. The effects are tendencies: a longer list did not ruin every choice. On average, though, the set worked against the chooser more than the marketing of "more choice" admits. ## A smaller field is a decision tool The usual advice is to swipe more mindfully. That asks you to out-discipline a list that was built to be long. The better move is closer to what the studies actually varied. Stop when you have a short set you can compare. A "good enough" stop-rule is not a lowering of standards. In the 2010 study, people less inclined to hold out for the best were less affected by the long list. Variety is the part people miss. A set of 24 people who are broadly similar is already a lot to hold in mind. A set of 24 who differ on every axis at once is a harder task, and Lenton's events linked more variety with fewer yeses and more people choosing nobody. Wanting a larger pool feels like diligence. In these studies it behaved like load. Along the Wasatch Front you will not get a coastal-sized feed, and Bloom is built to show you fewer people, on purpose. --- # Blog: Your dealbreakers do more work than your wish list Source: https://www.bloom.date/blog/your-dealbreakers-do-more-work-than-your-wish-list People spend hours specifying a person they have not met. Across six studies and more than 6,500 participants, the traits they wanted to avoid weighed more than the traits they hoped to find. The wish list feels like the serious document. The research says the stop-rules are doing more of the deciding. ## What the paper actually measured In 2015, Jonason, Garcia, Webster, Li, and Fisher published [Relationship dealbreakers: traits people avoid in potential mates](https://doi.org/10.1177/0146167215609064) in Personality and Social Psychology Bulletin (volume 41, pages 1697 to 1711). PubMed: [26445853](https://pubmed.ncbi.nlm.nih.gov/26445853/). A [PDF of the paper](http://www.mysmu.edu/faculty/normanli/jonasongarciawebsterlifisher2015.pdf) is posted on Li's faculty page. Mate-preference research, they argued, had spent most of its time on dealmakers: the traits people say they want. They asked about the other end. Dealbreakers were bits of information that might make you lose interest in a potential partner. They ran six studies. College samples listed and then rated dealbreakers for short-term and long-term contexts. A nationally representative sample of U.S. singles chose from a fixed list. Later studies tested how interest moved when people learned something negative, and how interest moved when the mix of pluses and minuses changed. The content clustered. Undesirable personality, unhealthy lifestyle, and a mating strategy that did not match yours showed up as the load-bearing kinds of no. Those clusters were stronger when people were considering a long-term relationship than a short-term one. People who rated themselves as more desirable as a partner reported more dealbreakers. People more open to uncommitted sex reported fewer, especially in a short-term context. Women rated dealbreakers more strongly than men, mostly for short-term partners, and in the national sample below they listed more of them. The differences were modest. :::pullquote The traits people wanted to avoid pulled harder than the traits they hoped to find. ::: ## Losses pulled harder than gains When people learned something negative about a potential partner, interest dropped more than it rose when they learned something positive. In the last study, the researchers varied the mix of pluses and minuses a person was described as having. People were more willing to start something as the pluses rose, which is unsurprising. But each added negative moved the rating more than each added positive. The authors read that as prospect theory (losses loom larger than gains) and as error management (taking on a bad partner is treated as costlier than passing up a good one). That effect was stronger for women than for men, and stronger for people already in a committed relationship than for people who were not. If you already have a partner, you can afford a harder no. If you do not, the paper's own reading is that you can afford less pickiness. Across all six studies, the average dealbreaker hurt more than the average dealmaker helped. ## What singles actually marked Study 3 is the one with a broad adult sample. The data came from the 2011 Singles in America survey, sponsored by Match.com and not drawn from Match members. MarketTools recruited a nationally representative panel of singles, including people who were separated, divorced, or widowed. 5,541 people, aged 21 to 76 and older, were asked which items from a list of 17 would be dealbreakers in a committed relationship. They could mark as many as they wanted. The most-selected items included a disheveled or unclean appearance (67 percent), being lazy (66 percent), and being too needy (63 percent). People marked about six items on average. Women marked more than men. That is what people ticked on a form they were handed, and "choose all that apply" surfaces the vivid, easy nos. It cannot tell you which of them would still be a no after a good third date. Some answers in the earlier studies are serious on their own: already married, currently dating several people, a health issue such as an STI, abuse. Some of the Study 3 list is preference noise. Only you can sort those. Nobody in these studies was followed into a real relationship. They measured how people rated hypothetical partners, mostly in college samples, not who people dated or stayed with. A person can tick "lazy" on a survey and later fall for someone who leaves dishes in the sink. ## Where the wish list fails you If negatives already outweigh positives, the expensive habit is not "having dealbreakers." It is spending your attention on a portrait of a person who does not exist. The wish list is usually a pile of dealmakers: funny, ambitious, the right height, the right hobbies. That pile is soothing to write. The 2015 paper says it is the weaker instrument. The stronger instrument is the short list of things that would actually end it. Most of those are not vibe. They are structure. Whether you want children. Whether you want monogamy. Whether faith is part of a shared life. Whether you can live in the same place. You can add a personal no that you have already watched ruin a relationship: contempt, or a relationship with alcohol you cannot live beside. Past that, you are specifying a stranger. A long trait list also pretends you can predict chemistry in advance. Researchers have been trying to do that from self-reported traits and preferences, and [the pairing they could not predict was the one you care about](/blog/can-an-algorithm-predict-chemistry). You are better at knowing what would stop you than at knowing who you will want. A sudden turn-off over a mannerism is a different object again. We wrote about that split in [what the first study on the ick actually found](/blog/why-you-get-the-ick). An ick can feel like a dealbreaker in the body. It is not automatically one on paper. ## How to use a short list **Write the handful that would actually end it.** Children, monogamy, faith, and location cover most of the structural ones. If something else has already ended a relationship for you, it can go on the list. If you cannot name it as a reason you would leave, it is a preference, and it can wait until you have met the person. **Stop adding traits.** "Kind" and "funny" are fine as hopes. They are a poor filter. They are also the side of the ledger the paper says does less work. **Do not outsource the list to a mood.** A bad week will expand your nos. A lonely week will shrink them. The useful list is the one you would still defend after a good night of sleep. **Believe a real stop-rule when it shows up.** If they want children and you do not, that is the 2015 finding doing its job. Staying to see whether the wish-list traits can outvote it is the mistake the asymmetry warns you about. On Bloom, every preference filter is free, so the short list costs nothing to apply. ## Write the shorter list The wish list will keep growing because it is pleasant to edit. The dealbreaker list is shorter, less flattering, and, in these studies, the one that moved the decision. Write that one, and let the rest of the person show up in person. --- # Blog: The question after a breakup is readiness, not a waiting period Source: https://www.bloom.date/blog/the-question-after-a-breakup-is-readiness-not-a-waiting-period After a breakup, someone will hand you a number of months. The research on whether you should start something new does not give you that number. What it measured is whether people already felt ready to commit. That is a less tidy answer than a waiting period, and a more usable one. You can reopen the apps this week. You can stay offline for a year. Neither choice is the finding. The finding is about timing as a feeling, not timing as a calendar. ## What the researchers meant by ready In 2018, Hadden, Agnew, and Tan published [Commitment readiness and relationship formation](https://doi.org/10.1177/0146167218764668) in Personality and Social Psychology Bulletin (volume 44, pages 1242 to 1257). PubMed: [29637847](https://pubmed.ncbi.nlm.nih.gov/29637847/). A [PDF of the paper](https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3730&context=soss_research) is posted in SMU's research repository. They treated commitment readiness as a subjective sense that this is the right time to be in a committed relationship. The scale includes items such as "I feel that this is the 'right time' for me to be in a committed relationship." It is not a quiz about whether you have waited long enough. It is a report of whether you feel prepared to be in one now. They collected five samples of people who were not in a romantic relationship. Most of those samples were undergraduates. One was 100 adults on Mechanical Turk. Across those samples, people who scored higher on readiness also reported more interest in developing a close romantic relationship. In a two-week daily diary, higher readiness tracked with thinking more about dating, wanting more closeness with a hypothetical partner, more interest in a specific person they were already attracted to, and more behavior aimed at starting something: attention to appearance, stated intention to pursue someone, and concrete initiation tactics such as flirting. On days when readiness sat above a person's own average, those same thoughts and moves sat higher too. Readiness was related to, and still distinct from, two nearby constructs. It was not the same thing as fear of being single. It was not the same thing as avoidant attachment. When the researchers put those measures in the same models, readiness kept its own association with interest and pursuit. :::pullquote The useful question is not how many months it has been. It is whether you feel ready to commit. ::: ## Did readiness predict actually starting something? Three of the samples were followed over time: five weeks and three months in one, three months in another, seven months in the third. In a pooled analysis across those follow-ups, higher readiness when single was associated with a higher chance of being in a relationship later. The individual studies did not all agree. The association was clear in one, marginal in another, and not significant in the third. Relatively few people had entered a relationship by follow-up: 50 of 213 in the diary sample, 22 of 217 in the three-month sample, 44 of 219 in the seven-month sample. The researchers pooled the datasets because those counts are small, so treat this as a direction, not a rule. Among the people who did enter a relationship, readiness from the single period was associated with higher later satisfaction, more investment, and more commitment. It was not associated with seeing fewer alternatives. The path to later commitment ran through satisfaction and investment: people who had felt readier were more satisfied and put more into the new relationship, and those two accounted for the later commitment score. Nobody assigned anyone a readiness level. People who already wanted a relationship may have scored higher and then gone looking. People with someone already in mind may have felt readier because of that person. The authors note both possibilities. Attraction and pursuit on one day also predicted readiness the next, so the arrow is not only one way. ## A waiting period is not the same measurement Popular advice after a breakup often arrives as a number. Wait three months. Do not date until you have stopped checking their stories. The research on rebounds does not hand you a number either. Brumbaugh and Fraley, in [Too fast, too soon?](https://doi.org/10.1177/0265407514525086) (Journal of Social and Personal Relationships, 2015, volume 32, pages 99 to 118), studied people after a breakup and asked whether starting something new, and how quickly, lined up with worse outcomes. In two exploratory studies, people who were in a new relationship were more confident in their desirability and had more resolution about their ex. Among those who had started something new, starting sooner was associated with better psychological and relational health, not worse. The authors themselves call the work exploratory. It is correlational. People who felt better may have been the ones who started dating again. It does not prove that a rebound heals you. It does undercut the folk rule that a fast new relationship is automatically a mistake. Hadden's team was not studying rebounds. They were studying whether a person felt ready. Those can come apart. Someone can wait six months and still not feel able to commit. Someone can meet a person sooner and already feel ready. Calendar time is easy to count. It is a poor substitute for the question the 2018 paper actually asked. A later paper by the same group, [It's About Time](https://doi.org/10.1177/1948550619829060) (Agnew, Hadden, and Tan, 2019, Social Psychological and Personality Science, volume 10, pages 1046 to 1055), looked at people who were already in a relationship. There, readiness predicted commitment, the day-to-day work of staying, and whether people later left. Feeling committed to this partner and feeling that the time was right for a committed relationship were not the same thing. People could have one without the other. That paper is about staying together, not about when to reopen the apps. ## What unreadiness is allowed to mean The 2018 paper is explicit that unreadiness is not a character flaw and not a permanent type. People can sit low on readiness because a recent relationship was hard, or because they want to work on themselves before they ask someone else to share a life. They can want closeness and still decide this is not the season for it. That last case is the one the rebound clock mishandles. A waiting period treats time as the treatment. Readiness treats the inner question as the treatment: can I be in a committed relationship now, or do I still need the season to be about me? If the honest answer is no, staying off the apps is not a punishment. It is agreeing with yourself. Filling the week with new profiles so you do not have to sit in the breakup is a different project, and it is not the one the readiness work describes. ## What to do with the question **Ask it plainly.** "Do I feel ready to be in a committed relationship right now?" You are not asking whether you are over them. You are not asking whether you are bored. You are asking whether you can take on the interdependence the scale is about. **Do not let a number answer it for you.** If a friend or a thread gave you a month count, treat that as folklore unless it matches how you actually feel. The 2018 paper did not validate a waiting period. The 2015 rebound paper did not either. **Notice whether you are pursuing or hiding.** Hadden's diary work tied readiness to interest and to moves toward a specific person. If you are opening an app so you do not have to be alone with the last relationship, that is worth a second look before you swipe. The study did not test this; it is a question to ask yourself, not a verdict. **Leave room for the other person.** Feeling ready does not create a partner, and it does not make a thin dating pool thicker. A yes on your side is a starting condition, not a result. **Get real help if the breakup is running the year.** If you cannot get through a week, or you cannot tell readiness from panic about being alone, a therapist who works with grief or with attachment is a good next step. These are mostly campus samples followed for months, not years, and nobody tested a "wait until month N" rule. Within those limits, a sense that the time was right lined up with more interest, more pursuit, better odds of a relationship, and more commitment once in one. ## The answer you can use If the answer is not yet, that is a full answer. Let the season be yours. If the answer is yes, you do not owe anyone another month for the sake of a rule. You owe the next person a self that can commit. --- # Blog: Friends beat the feed in Utah Source: https://www.bloom.date/blog/friends-beat-the-feed-in-utah On the Wasatch Front, a lot of first dates still start the old way. Someone who already knows you both makes the introduction. A roommate, a coworker, a friend from the ward or from the climbing gym. The feed is available here the same way it is everywhere. The named intro still carries more weight. There is no Utah survey of how often that happens. You see it in ordinary places: a Sunday dinner, a group hike, a coworker who will not let two single people sit at opposite ends of the office forever. As [the field guide to dating in Utah](/blog/field-guide-to-dating-in-utah) put it, you are more likely here to run into a match at the grocery store and more likely to know someone who knows them. A friend intro is a small thing. You are considering one person, not a stack. Someone thought of you specifically, and they will hear about it if the evening is a wreck. We wrote the general case in [the introduction is back](/blog/the-introduction-is-back). Utah never stopped using it. ## Why friend intros still win on the Wasatch Front A dating feed looks the same in Sugar House as it does in Dallas. A friend intro is already local. The person making it knows whether you want something serious, whether you will actually leave the house on a Tuesday, and whether the other person is kind in a kitchen. That is not a ranking. It is a filter the feed does not have. It also travels the way Utah social life travels. People move between Ogden, Salt Lake, Lehi, and Provo for work, church, and trailheads. A good introduction often crosses those cities on purpose. A swipe stack never asks who already knows you both. Mutual, the dating app for Latter-day Saint singles, answers a real question for people who want shared faith settled before the first date. Friend intros do a different job, for people on both sides of that line. ## People want curated, and they still meet in the wild The numbers on this are national. In Harris Poll's January 2026 survey, [77 percent of singles said dating feels like a marketplace](/blog/dating-feels-like-a-marketplace), and 75 percent wanted more curated ways to meet than dating apps offer. Asked how they met their current or most recent partner, 57 percent of adults named an in-person path and 24 percent an online one. A friend intro is curated and in the wild at the same time. Someone who knows you both chose the pair and then got out of the way. People here open the same national apps as everyone else. The difference is that the older door never fully closed. :::pullquote A friend intro is curated and in the wild at the same time. Someone who knows you both chose the pair and then got out of the way. ::: ## A situationship withholds the name. A friend intro has to say it. [A situationship has the affection but not the commitment](/blog/situationships-commitment-without-a-label): what stays missing is a shared account of what two people owe each other. A friend introduction is almost the opposite opening. The friend has to say something out loud: I think you two should meet, as a date. That sentence is a label, even when it is casual. It does not guarantee a second date. It does not lock anyone into a five-year plan. It does mean the first evening is not pretending to be hanging out while two people guess. That naming is a kindness when your social world is small enough that you will see this person again at Harmons. Ambiguity costs more here. A friend who is willing to say "this is a date" does that work before anyone needs the slang. ## Where Bloom fits Bloom is a dating app launching first on the Wasatch Front (the [Utah page](/utah) explains why). It will not replace your friends, and it should not try. The bet is closer to the introduction than to the feed: fewer people at a time, and an app that keeps going once two people find each other. If you date on this corridor, or you are the friend who still makes the intro, [join the Wasatch waitlist](/#waitlist). --- # Blog: A situationship has the affection. The research says it does not have the commitment. Source: https://www.bloom.date/blog/situationships-commitment-without-a-label A situationship looks like a relationship from across the room. People spend time together. They are affectionate. They have sex. What an exploratory 2024 study found, when it finally measured the slang, is that those pieces can be in place while commitment and satisfaction sit lower than they do in a labeled relationship. The gap is the useful part: the same behaviors, without a decision anyone can name. ## What the researchers asked people to describe In 2024, Langlais, Podberesky, Toohey, and Lee published [Defining and Describing Situationships: An Exploratory Investigation](https://doi.org/10.1007/s12119-024-10210-6) in Sexuality & Culture (volume 28, pages 1831 to 1857). They ran it in two phases. First, 28 people sat for one-on-one interviews about their entire relationship history, then offered their own definition of a situationship, then said which of their past experiences fit. Second, 261 people completed an online survey about their three most recent relationship experiences, from a one-night stand through a committed relationship. In a [later interview](https://www.psychologytoday.com/us/blog/experimentations/202403/are-you-in-a-situationship), Langlais described that survey sample as college students. The interview phase produced a working definition. Situationships were romantic relationships with no clarity or label and low commitment, but with affectionate behavior, sexual behavior, and time spent together similar to what established couples report. The survey tested that definition. Compared with other relationships, situationships scored lower on satisfaction and commitment and about the same on affection and sex. In the authors' summary, people in a situationship are, for the most part, emotionally and sexually invested even if they are not in a fully committed relationship. :::pullquote The confusing part is not that nothing is happening. It is that a lot is happening, and nobody has agreed what it is. ::: The study is small and early, and the authors say so in the title. The survey went to college students, the interviews to 28 people, and each person described only their own side. Nobody was followed over time, so it cannot say whether wanting less commitment leads people into these arrangements or the arrangement wears commitment down. In an interview, Langlais said their results suggest situationships do not often become committed relationships, but that is a reading of this data, not a long-term follow-up. What it does show is where the gap sits. A situationship is not less of a relationship in what you can see from across the room. It is less of one in what you cannot: a shared account of what you owe each other. ## Why the missing label matters Long before the slang, relationship researchers had a name for not knowing where you stand. Leanne Knobloch and Denise Solomon, writing in 1999, built a measure of [relational uncertainty](https://doi.org/10.1080/10510979909388499) that separates doubt about yourself, your partner, and the relationship. On the relationship side, two of the questions are what the relationship is right now and where it is going. Those are the two questions a missing label leaves open. A later paper shows what that doubt does over time. ## Fluctuations in perceived partner commitment In 2006, Arriaga, Reed, Goodfriend, and Agnew published [Relationship perceptions and persistence](https://doi.org/10.1037/0022-3514.91.6.1045) in the Journal of Personality and Social Psychology (volume 91, pages 1045 to 1065). They ran two multiwave longitudinal studies of dating relationships and looked at within-person change in *perceived partner commitment*: not how committed you say you are, but how committed you think the other person is. People whose sense of their partner's commitment swung up and down over time were more likely to be in a relationship that ended than people whose sense of it stayed steady. In new relationships, the swings predicted a breakup whatever the starting level and whether commitment was rising or falling overall. Across everyone, the effect held after the researchers controlled for those and for swings in other parts of the relationship. So a high average ("I usually think they are in this") does not cancel a choppy signal ("last Tuesday I was sure, this morning I am not"). The wobble carried its own information. The study followed people over time but did not assign anyone a confusing partner, so it shows a pattern, not a cause. It is also not about situationships, a word that barely existed in 2006. Our reading is that an arrangement built to keep the label off the table gives that wobble more room, because there is no agreed sentence to check it against. ## What to do with a missing label **Do not score the relationship by how much time you spend together.** Langlais and colleagues found the affectionate and sexual behaviors looking like a relationship. Time and touch will argue that you are fine. Ask about commitment and satisfaction and the scores drop. Believe the second measurement. **Ask the definition question out loud, once.** "Are we dating, and are we only dating each other?" is enough. You are not asking for a five-year plan. If the other person cannot answer, that is an answer. **Watch the wobble, not only the average.** A partner who is warm on Saturday and unreachable on the terms of the relationship by Wednesday is giving you the pattern Arriaga's team found predictive. One good weekend does not erase a month of not knowing where you stand. **Name the asymmetry if it is there.** One person may want the label and the other the flexibility. The Langlais work is not a dyadic study, so it cannot tell you how often that split occurs. Staying without naming it is one way the lower-satisfaction pattern gets its months. **Leave yourself a date.** If you have asked, and the definition is still "we will see," pick a point on the calendar by which you will ask again or go. An open-ended wait is how an exploratory arrangement becomes the whole year. **Get real help if the pattern is costing you.** If you keep entering unlabeled arrangements you do not want, or cannot ask the question without panic, a therapist who works with couples or with attachment is a good next step. ## You do not need the word Situationship is a 2010s word for an old structure: closeness without a shared account of what the closeness means. What matters is whether both people can say what this is, and whether that answer stays put from week to week. --- # Blog: 77 percent of singles say dating feels like a marketplace. Two-thirds have already left the apps. Source: https://www.bloom.date/blog/dating-feels-like-a-marketplace 77 percent of singles in Harris Poll's Modern Dating Survey agreed with this sentence: "Dating today feels more like a marketplace than a romance story." Among single women it was 82 percent. That is the finding to start with. Not a mood. A majority of singles, asked directly, described the current search as a store. Two-thirds of those same singles are not currently using a dating app. Harris's own headline in the report pairs the two: "Two-thirds aren't using dating apps as dating feels more like a marketplace than romance." People are not walking away from wanting a partner. They are walking away from a format that feels like inventory. ## What Harris actually asked Harris fielded this online between January 22 and January 24, 2026, among 2,177 U.S. adults aged 18 and over. The singles questions use a base of 785 people, defined as single and not dating, or single and dating but not in an official relationship. The figures below come from the [Modern Dating Survey](https://theharrispoll.com/wp-content/uploads/2026/02/Modern-Dating-Survey-February-2026.pdf). Harris ran a separate report from the same field dates, [Singles in America Year 2](https://theharrispoll.com/wp-content/uploads/2026/02/Singles-in-America-2-February-2026.pdf), which asked different questions (it found 46 percent of U.S. adults single, and 67 percent of Gen Z). ## The opt-out is among singles, and it is not "never used" On current dating-app usage, asked of singles (n=785): - 22 percent currently use free versions only - 11 percent currently use paid versions - 26 percent have used dating apps in the past - 41 percent have never used dating apps That is 33 percent currently using and 67 percent not. The 67 percent is not a never-used figure: 41 percent never used the apps, and 26 percent used them and stopped. ## Transactional is the all-adult finding A different question went to the full sample of 2,177 adults, partnered people included. 72 percent agreed: "Dating apps made dating more transactional than romantic." 56 percent said meeting through a dating app is "cringe," and 80 percent said meeting "in the wild" is cute or cool. The objection is to the venue, not to the people in it. :::pullquote Most singles in this survey are not on a dating app. Most singles in this survey still call dating a marketplace. Those two facts belong together. ::: ## People still want a way to meet. They want a different one. 75 percent of singles agreed: "I want more curated ways to meet compatible people than dating apps can offer." Among single women it was 80 percent. That is hard to read as a culture that has given up on partnership. It reads as a culture that has given up on one method. When Harris asked all adults how they met their current or most recent romantic partner, 57 percent named an in-person path (mutual friends or family 23 percent, work or school 23 percent, "in the wild" 11 percent) and 24 percent named an online path (social media 12 percent, dating apps or websites 12 percent). That is a different question from the Stanford study we covered in [how couples actually meet now](/blog/how-couples-meet-now), which tracks how *new* couples met each year and found online overtaking friends around 2013. Harris's question folds in long relationships that began before swipe apps existed. Both can be true: by 2017, online had become the most common way new couples met, and most adults' current or last partner still came through an offline introduction. ## The format that feels like a store The survey stops here. What follows is our reading. A marketplace is a place you go to evaluate inventory. You compare. You keep your options open. You pay for a better look at the stock. You leave when the browsing stops paying off. That is a reasonable way to buy a toaster. It is a miserable way to be seen, and a miserable way to see other people, for months at a time. We have already written the mechanism. An endless feed of strangers trains your default answer toward no, and it leaves both the browser and the browsed feeling processed. That is [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). The exhaustion has been asked about directly, and the answers match what the choice research would predict: [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). Underneath the feed is an incentive. When the product is a paid search sold to people who are still looking, the customer who finds someone and leaves is a lost subscriber. That is an accounting identity, not a theory about daters. We laid the industry side of it out in [the dating app giants are shrinking](/blog/dating-app-giants-are-shrinking), and the participation side in [the romance recession is a search problem](/blog/the-romance-recession-is-a-search-problem). Wanting a partner and refusing a store are compatible. The survey is what you would expect if the method, not the desire, is what broke. That link is our reading: this is a three-day online poll, and nobody in it was followed over time. ## Design after the match If search has been built like a store, the answer is not a pep talk about trying harder in the aisle. It is a different product. That is the bet Bloom makes. Fewer introductions, each one a person rather than a card. A free plan with a set number of likes a day, because a bounded day is the condition under which anyone reads. Seeing who liked you is not the paywall. The app is meant to keep going once two people find each other, because the business should do better when a relationship works than when a search continues. The [pricing page](/pricing) is the plain version of that. The survey does not prove that design. It describes the feeling a store produces, and how many singles are not in it right now, including the quarter who tried the apps and stopped. Bloom is pre-launch, starting in Utah along the Wasatch Front. --- # Blog: What your partner does with your good news predicts more than how they handle your bad news Source: https://www.bloom.date/blog/how-your-partner-responds-to-good-news Almost every piece of relationship advice prepares you for the fight. How to argue well. How to repair after. What to do when someone is upset, or withdrawn, or hurt by something you said. All of it points at the moments when things go wrong, which makes sense, because those are the moments that feel like they matter. There is a smaller line of research pointing somewhere else, at a moment nobody rehearses: what happens in the sixty seconds after your partner tells you something good. ## The study In 2006, Shelly Gable, Gian Gonzaga and Amy Strachman published [Will you be there for me when things go right?](https://doi.org/10.1037/0022-3514.91.5.904) in the Journal of Personality and Social Psychology. Seventy-nine dating couples came into a lab and were videotaped discussing recent events from their own lives, both positive and negative. The person sharing rated how understood, validated and cared for they felt in each conversation. Independent observers, who had no stake in either relationship, separately coded how the listening partner behaved. Two months later the researchers checked back on the couples. Responses to the **positive** conversations were more closely related to relationship well-being, and to whether the couple had broken up, than responses to the negative ones. That held both in the participants' own ratings and in the outside observers' coding, which matters, because the two methods fail in different ways and agreeing is harder than either one alone. ## The four ways to respond The framework comes from [an earlier 2004 paper](https://doi.org/10.1037/0022-3514.87.2.228) by Gable with Harry Reis, Emily Impett and Evan Asher, which ran four studies on what they called capitalization: the act of telling somebody when something good happens to you. Two of those studies found that sharing a positive event was associated with more positive affect and higher well-being that day, over and above the effect of the good thing itself. The other two looked at couples, and found that relationships where a partner typically responded with enthusiasm scored higher on relationship well-being. They sorted responses along two axes, active or passive and constructive or destructive, which produces four boxes. The authors' own shorthand for each: - **Active-constructive** is enthusiastic support. - **Passive-constructive** is quiet, understated support. - **Active-destructive** is quashing the event. - **Passive-destructive** is ignoring the event. Only active-constructive was positively associated with relationship quality. The other three were negatively associated with it, which is a stronger claim than being merely unhelpful. ## The trap is in the middle two boxes If the failure mode were cruelty, this research would be a curiosity. Nobody needs a journal article to learn not to sneer at their partner's promotion. The problem is that three of the four ways to get this wrong feel, from the inside, like being a reasonable adult. **"That's great, well done."** Warm, sincere, means it, and then goes back to what it was doing. This is passive-constructive, and the finding is that it does not do the work. It is not neutral, it is a miss delivered politely. **"Wait, more hours? Are you sure that's what you want right now?"** This is active-destructive, and it is very often meant as care. Somebody spotting the downside of the thing you are excited about, because they are looking out for you. The intention is good and the effect is that the good news has been taken away and replaced with a problem to manage. **Not looking up.** Passive-destructive, and usually not a decision. This is the one that overlaps with what we wrote about [technoference](/blog/technoference-what-phones-do-to-relationships), where the finding was that what predicts damage is not screen time but whether a partner perceives themselves as having been set aside for a device. :::pullquote Three of the four ways to miss this feel, from inside your own head, like being supportive, or careful, or busy. Only one of them registers on the other side. ::: ## What the working version looks like Active-constructive is not performance, and it is not enthusiasm you have to manufacture. The concrete move is to make them tell it again, longer. Ask for the part you were not there for. Ask what they said, what the room did, how long they had been waiting to hear it, whether they had told anyone yet. The response that registers is the one that treats the good thing as worth spending time inside rather than as a headline to acknowledge before the conversation resumes. The reason this works is not mysterious, though it is worth marking as interpretation rather than measurement. The 2004 diary studies compared telling somebody against not telling them; they did not test question-asking or retelling as such. The reading that follow-up questions extend the telling, and with it the savoring, is an extension of that result rather than the result itself. Two things it does not require: you do not have to match their volume, and you do not have to be a naturally expressive person. Attention is doing the work here, not decibels. ## How much weight this can hold Be careful with this one, because it gets repeated far more confidently than the evidence supports. Seventy-nine couples is a small sample. They were dating rather than married, recruited in the United States, and the follow-up was two months, which is long enough to catch a breakup and short of anything you would call the long run. Two of the 2004 studies used undergraduates keeping daily diaries, which is a well-worn population with well-worn limits. Neither study is experimental. Nobody in them was assigned a response style, so on those two alone the direction would be open: people in better relationships may simply find it easier to be enthusiastic, making the enthusiasm a symptom rather than a cause. That gap has since been addressed. In 2010 Harry Reis and colleagues published [four experiments and a diary study](https://doi.org/10.1037/a0018344) in the same journal. The four experiments did not share one design, and the relevant one here is Experiment 2, which tested whether an attentive and enthusiastic response is what makes retelling matter. Participants recounted a real positive event to a confederate trained either to respond in an active-constructive manner or to be passive and disengaged without being hostile. Across the set, enthusiastic responses raised how much people valued the event they had shared and increased trust toward the responder. That is a manipulated cause with a measured effect, which moves the mechanism past correlation. Being exact about the scope: this is one experiment inside a larger paper, not the design of the whole thing. What the experiments do not establish is the long-run couple outcome. Trust measured minutes after a lab conversation with a stranger is not a relationship two years on, and the studies reaching for the couple outcome are the smaller correlational ones. Read the mechanism as tested and the life-sized version as well supported rather than proven. ## What to do on an ordinary Tuesday **Put the thing down.** The response starts before you say anything, and everybody can tell. **Ask for the story, not the summary.** One follow-up question is most of the difference between the box that works and the box that does not. **Hold the caveat.** If there is a genuine concern about the promotion or the plan, it will still be available in an hour. Dropping it into the first minute costs you the moment and rarely improves the decision. **Notice your default.** Most people are not cruel here, they are passive-constructive, and passive-constructive is invisible to the person doing it. It feels like agreement. It is the single most common way this gets missed. **Share your own.** Half of this research is about the discloser. Saying the good thing out loud to somebody is the part the diary studies found associated with the well-being effect, and plenty of people quietly skip it. ## The half nobody schedules There is something worth noticing about which of these two skills people actually practice. Couples work on conflict. They read about repair, they learn to argue better, sometimes they go to therapy and get good at it. Almost nobody has ever sat down to get better at receiving good news, because it does not present as a problem. Nothing is broken in that moment. There is no fight to fix. Which is exactly why it goes unattended for years, in relationships where both people would say things are fine. The ordinary Tuesday is where the relationship actually lives. Most of what happens on it is small, and none of it announces itself as the part that counted. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: People who believe in 'the one' are more likely to ghost. The research suggests why. Source: https://www.bloom.date/blog/why-people-ghost Ghosting usually gets explained as a character problem. The person was a coward, or careless, or never cared much to begin with. The first study to go looking for a predictor found something less satisfying and considerably more useful. It found a belief. Worth being exact about what that does and does not settle. The researchers measured beliefs about relationships. They did not measure cruelty, carelessness or nerve, so nothing here rules those out as part of the story. What it shows is that you can predict something about ghosting without reaching for character at all. ## What the study did In 2019, Gili Freedman, Darcey Powell, Benjamin Le and Kipling Williams published [Ghosting and destiny: Implicit theories of relationships predict beliefs about ghosting](https://doi.org/10.1177/0265407517748791) in the Journal of Social and Personal Relationships. Two studies: an exploratory one on Mechanical Turk covering romantic relationships (554 participants), then a confirmatory one on Prolific that repeated the romantic findings and extended them to friendships (747 participants). Everyone was measured on the 22-item Implicit Theories of Relationships Scale (Knee 1998; Knee, Patrick and Lonsbary 2003), which separates two beliefs people hold about how relationships work. **Destiny beliefs** are the idea that two people are either compatible or they are not. Under this model a relationship is a fact to be discovered. It works from the start or it was never going to. **Growth beliefs** are the idea that a relationship is built. Problems are the normal material of the work rather than proof of a mismatch. Most people hold some of each. The two are measured separately rather than as opposite ends of one dial. ## What they found Participants with stronger destiny beliefs felt more positively about ghosting, reported stronger intentions to use it in the future, and were more likely to say they had already ended a relationship that way. In the first study, they were also less likely to think poorly of someone else who ghosted. Growth beliefs went the other direction on how acceptable ghosting seemed and on intentions to use it. One honest qualification, which the authors state plainly and most write-ups drop: growth beliefs showed **fewer** associations overall than destiny beliefs did. In the first study, the specific growth finding was narrow, that people with stronger growth beliefs were less likely to consider ghosting an acceptable way to end a long-term relationship. The destiny side of this is the stronger and more consistent half of the result. On prevalence, of the 554 people in the first study, 140 (25.3 percent) said a former romantic partner had ghosted them, and about a fifth said they had ghosted a partner themselves. ## Why the belief and the behavior fit together Here the paper stops and the reasoning starts, so treat this next part as an interpretation rather than a finding. If you believe compatibility is a fact waiting to be discovered, then a relationship that stops working has simply revealed itself. The test came back negative. There is nothing to repair, because there was never anything under construction, and so there is nothing much to say. The exit conversation only has a job if you think the thing was being built. Then ending it is a decision somebody made, decisions have reasons, and the other person is owed the reason. :::pullquote Under a destiny model, a breakup is a result. Under a growth model, it is a choice. Only one of those comes with something to explain. ::: That reframes what ghosting communicates. It reads to the person on the receiving end as a verdict about them. On this evidence it is closer to a report on how the ghoster understands relationships in general. ## What this research does not show The limits matter, and the authors are direct about them. This is correlational. Nobody assigned anyone a belief and watched what happened, so the arrow could point either way. It is at least as plausible that people who have ghosted adopt destiny beliefs afterwards, because a compatibility story is a comfortable account of an exit you would rather not examine. The data are self-reported. The authors note that because ghosting is generally viewed badly, people probably under-report doing it, which means the true rates are likely higher than a quarter and a fifth. Both samples were American and recruited from crowdsourcing platforms. The authors flag that people who work on those platforms may be more comfortable with technology, and therefore possibly more prone to ghosting, than the general population. And they describe the work as a first step, which is the right description of two studies on a question this large. None of that undoes the result. It means you should hold it as a real association with an unproven direction, not as a law. ## What to do with it **If you are ending something, send the message.** One or two sentences. No inventory of their flaws, no opening for negotiation, no apology long enough to sound like an invitation. "I've enjoyed meeting you and I don't think this is a fit for me. Take care." That is the whole thing, and the awkwardness of writing it lasts about four minutes. **Watch for the compatibility story in your own head.** "We just were not compatible" is often perfectly true. It is also the exact sentence that makes an exit feel like it needs no conversation. When you catch yourself reaching for it, the question is whether it is a conclusion or a permission slip. **If you were ghosted, read it as information about them.** Their model of relationships had no slot for the conversation. That is a real thing you learned about a person, and it arrived cheaply compared to learning it in year two. **Expect to be on both sides.** A quarter of that sample had been ghosted and a fifth had done it. The study reports those as separate rates and does not cross-tabulate them, so how far the two groups overlap is unknown. What the numbers do rule out is a tidy split into a small population of offenders and everybody else. **Notice the special case for length.** The growth-belief association turned up for ending a long-term relationship, and not for ending things after one or two dates. That is an absence of a detected difference rather than evidence that anyone approves of ghosting early, and the distinction matters. Something short is still a different social situation from something long, and the research gives no reason to treat the two identically. ## Built, not found The reason this study keeps coming to mind is that the belief it measures is not really about endings. The same destiny model that makes a silent exit feel reasonable also makes an ordinary bad month feel like evidence, and makes the work that follows every early period look like a sign you picked wrong. It changes what a person does at the beginning, in the middle, and on the way out. What the larger body of relationship research keeps finding is that qualities of the relationship itself predict how a couple does substantially better than facts about the two individuals do, which we covered in [what makes a relationship last](/blog/what-makes-a-relationship-last). Individual traits are not irrelevant, they are simply outperformed. And the qualities that do the work accumulate, which means they cannot be read in advance, because they do not exist yet. You cannot argue yourself into a belief on demand. You can notice which one you are running, especially at the moment you are about to close a tab on someone. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Bumble deleted the rule it was built on. The rules that cost money go first. Source: https://www.bloom.date/blog/why-bumble-ended-women-first-move For more than a decade, one dating app had a rule you could explain in a sentence. In this category that is close to a miracle. On August 11, 2026, it ended. [Bumble now lets either person send the first message](https://techcrunch.com/2026/08/11/bumble-ditches-its-rule-that-kept-men-from-making-the-first-move/) in a heterosexual match, and it stretched the window for replying from 24 hours to 72. Founder and CEO Whitney Wolfe Herd framed it as an evolution rather than a retreat. "While women making the first move was a radical idea, being women-first was never about prescribing just one way to connect," she said, adding that the community was "asking for more flexibility, less pressure." The company cited its own survey data: 66 percent of women said they would prefer men to send the first message, many of them describing it as less stressful. The change also arrived with the company's second-quarter revenue [down 15.2 percent year over year to $210.5 million](https://techcrunch.com/2026/08/11/bumble-ditches-its-rule-that-kept-men-from-making-the-first-move/), and another decline in paying users forecast for the third quarter. Both of those are load-bearing. The useful question is not which one is the real reason. ## Take the stated reason seriously Sixty-six percent is a real number and it deserves better than a smirk. The rule solved a genuine problem in a crude way. It reduced unwanted opening messages by removing the ability to send them, which works, and which also handed every heterosexual match's opening move to one person as unpaid labor. If 66 percent of the women in a company's own survey say the mechanism costs them more than it saves, that is evidence worth acting on, and reversing a policy because the people it was built for asked you to is a legitimate thing to do. It is one company's survey of its own users rather than a reading of what women in general want, and it still counts. Treating every product change at a struggling company as cynical is lazy analysis. Sometimes the users are right and the company listened. ## Now take the timing seriously Here is the structural fact underneath, and it does not require anyone to have acted in bad faith. The rule suppressed conversations. That was the design. In a heterosexual match, one of the two people could not start one, so some share of matches that would otherwise have produced a message produced nothing instead. Conversations started is close to the number a dating app is paid on. Revenue in this category comes from paid visibility, boosts, paid likes, and paid access to people who already liked you, and every one of those converts better when the user believes a conversation is within reach. A rule that reliably reduces conversation starts is a standing cost against the core metric. That cost is payable while the business is growing. It stops being payable when revenue is down 15 percent and the paying-user forecast is negative. :::pullquote A principle that costs you money is a promise you can only keep for as long as you can afford it. That is not a character flaw in any particular company. It is arithmetic. ::: ## Two kinds of principle This is the part worth carrying away, because it applies to every app in the category and to us. There are principles that cost a company money, and principles that make it money, and they behave completely differently over time. The expensive kind depends on someone at the top continuing to choose it against pressure, every quarter, forever. It survives good years. It is the first thing examined in a bad one, and it goes with a press release about listening to users, which may even be sincere. "We will never show ads." "We will always cap this." "We will never sell that." These are real commitments made by real people, and their half-life is set by the income statement rather than by conviction. The durable kind is where the thing that helps the user is also the thing that pays. Nobody has to be brave. When the quarter is bad, the incentive points the same direction it pointed when the quarter was good. Most of what looks like integrity in a product is actually the second kind wearing the clothes of the first. ## Where that leaves us By the test just proposed, Bloom has a promise of the expensive kind and it should be named rather than hidden. Seeing who liked you is free in Bloom. Filters are free. Those are the two standard conversion levers in this industry, the paywalls that reliably turn a frustrated user into a paying one, and we do not use either. That promise costs us money. On the argument above, it is exactly the fragile kind, and we would be doing the thing this post criticizes if we asked you to trust our willpower about it. What we did instead was try to arrange for the revenue to come from somewhere else. Bloom charges for Premium, and the paid tier is mostly about depth rather than access: unlimited likes above the free daily allowance, unlimited Journeys, AI-personalized date suggestions, and no ads. The larger piece is Relationship Mode, where two people who are already together keep using the product, one subscription covering both. A dating app loses a customer when a relationship works. That is the structural problem in this category, and a couples product is the only version we have found where success and revenue point the same way. That is a structure, not a virtue. It is also untested at the scale that matters, because we have not launched yet. We have written down [how we make money](/pricing) so that the claim can be checked against the product later rather than taken on faith now, which is the only honest thing to offer before launch. ## What to do with this as a user **Read the feature, not the slogan.** A mission statement costs nothing to publish. A paywall is a statement of what a company actually values, made in a currency that is hard to fake. **Ask what a principle costs the company that holds it.** If it is expensive, enjoy it while it lasts and do not plan around it. If it is free or profitable, it will probably still be there in three years. **Notice which changes arrive alongside a bad quarter.** Not as evidence of bad faith. As information about which promises were affordable. ## The rule was the brand The strangest thing about the last two weeks is how quietly a decade of positioning came off. The reporting establishes the timing and the financial decline. It does not establish motive, and this post has no access to the room where the decision was made, so what follows is our reading rather than a finding. The timing suggests a company reaching the point where a recognizable idea cost more than it returned, and where the number that idea suppressed turned out to be the number that mattered. Read that as an inference from the sequence, which is all it is. Every dating app has a rule like that somewhere. The question worth asking about any of them, ours included, is whether the company would still keep it in a bad year. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Three in ten singles used LinkedIn for dating last year. The reason is not romance. Source: https://www.bloom.date/blog/linkedin-as-a-dating-app Nobody opens LinkedIn hoping to fall in love. They open it to find out whether the person they are meeting on Thursday is real. Two surveys published this year put numbers on what had been an open joke. [ResumeTemplates surveyed 868 single Americans](https://www.resumetemplates.com/3-in-10-singles-use-linkedin-as-a-dating-app-and-invite-coworkers-to-slide-into-their-dms/) aged 18 to 55 in February 2026 and found about three in ten had used LinkedIn for a dating-related purpose in the past year. [Zety surveyed 1,023 US employees](https://zety.com/blog/linkedin-romance-report) in April and found one in five had used the site to look into a romantic prospect, one in eight had ended up in a relationship that started there, and 48 percent considered information on a LinkedIn profile more trustworthy than information on a dating app. Seventy-four percent of those same Zety respondents said a romantic advance on LinkedIn crosses a professional line. Those are different groups answering different questions, so this is not a survey catching people contradicting themselves. Read together they still describe one situation: a professional network is supplying something about trust that daters want, and the same network is widely held to be the wrong place to ask for it. That gap is the finding, and it is not really about LinkedIn. ## Say what these numbers are Before leaning on them, the limits. Neither of these is peer-reviewed research. Both are online surveys run by resume-building companies, which have an obvious commercial interest in stories about LinkedIn. The samples are opt-in panels rather than probability samples, Zety surveyed employees rather than singles, and question wording on surveys like these tends to flatter the finding. Treat the exact percentages as soft. The direction is worth more than the decimals, because it turns up in two separately run samples with different populations and different questions. Note what that does not license. A minority in each sample reports doing this, not a majority, and nothing here establishes how common it is among daters generally. ## What people are actually doing there "LinkedIn is the new dating app" makes this sound like courtship. It mostly is not. The dominant use is vetting. Looking someone up before a first date. Checking that the job exists, that the city matches, that the timeline in their story holds together. In the ResumeTemplates sample, the items people checked most were mutual connections, recent activity, current employer, job title, and education. That is a background check, run by an amateur, on a platform built for something else. It works well enough to be worth the awkwardness, for a reason that has nothing to do with LinkedIn being clever. A LinkedIn profile is durable, public, and attached to a real name that former colleagues can see. Lying on it is easy to do and expensive to be caught doing, because the audience includes people who were in the room. Nobody designed that for daters. It is a side effect of the profile's actual job, which is to be checkable by someone deciding whether to hire you. ## What a dating profile leaves out, and why Now set a dating profile beside it. A dating profile is short. It is usually anonymous at the surname level. It is disposable, in the sense that deleting it and starting again costs nothing. Nobody from your past is watching it. Almost nothing on it can be checked, and nothing on it carries a cost for being false. That is not an oversight, and this is the part worth being precise about instead of indignant. Every field you add to a profile is friction. Friction cuts the number of profiles a user gets through in a session, and profiles per session sits close to the center of a business that monetizes the search itself: paid likes, boosts, paid visibility, paid access to people who already liked you. A thin, fast, low-commitment profile is not a failure of imagination. It is the correct design for that business. :::pullquote The trust people are borrowing from LinkedIn is not a technology. It is the ordinary cost of lying in front of people who know you. ::: So singles went and found the thin profile's opposite in the only large database where it already existed, and they are using it in a way its owner never intended and most of them consider rude. ## Why it is still a bad idea The trust is part real and part borrowed against something that does not stretch as far as people think. A LinkedIn profile shows a claimed employment history that colleagues have not publicly disputed. LinkedIn does verify identity and some workplace details for members who go through it, marked with a badge, but an ordinary profile is self-reported and proves nothing on its own. It says nothing about whether someone is kind, honest in private, or actually available. It is a curated career document written to impress strangers, and reading character off a job title is the same error the [feed of strangers](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory) makes with a photograph. Same mistake, better lighting. The consent problem is sharper. The other person is on LinkedIn for work. An unwanted romantic message arrives in a professional inbox, from a named account, with a career attached. Sixty-five percent of Zety's respondents said dating on LinkedIn could damage their professional reputation, and they are right to think so. A cold approach on a dating app can be ignored at no cost. A cold approach on LinkedIn cannot always be. Looking up a date you have already agreed to meet and pursuing someone who never signalled interest are two different acts. The first is caution. The second moves a risk onto a person who did not agree to carry it. ## What to do with this **Look someone up before a first date, and stop there.** Confirming that a person is who they said they were is ordinary safety, and it is the least contested thing anyone does on LinkedIn for dating reasons. That is not the same as saying most people endorse it, which these surveys never asked. Reading five years of their posts is a different activity. **Do not send the cold message.** If someone is only on a professional network, they have not said they are looking. The answer is not a better opening line, it is a different platform. **Know the limits of what a checkable profile proves.** It settles identity and employment. It does not settle character, and the confidence people report after a look tends to run ahead of what they actually learned. **Notice what you were reaching for.** If you check because dating profiles feel impossible to disprove, the fix is not a professional network. It is asking early for the things that can be checked, then watching whether the answers stay the same. ## The part we build around This post is about app economics, so here is where we sit. Bloom profiles take longer to fill in than the category standard, and the free plan gives you a set number of likes a day rather than an endless feed. Both of those cost us the metric most dating apps optimize for. That trade is the point: a profile is only worth reading if it holds something a photograph does not, and a bounded day is the condition under which anyone reads at all. We also verify inside the product rather than leaving people to do it by hand on a site that does not want the job. Bloom checks that the person using an account is the person in its photos, through a live selfie check. That answers the narrow question people are currently answering for themselves, and it is the only question it answers. Verification is not a character reference and we will not sell it as one. Who somebody actually is still takes months. That part has no shortcut, and it is still the part that matters. ## A network that does not want the job The most useful thing in these surveys is not any single number. It is that both answers are high at once: a large majority calls romantic approaches on LinkedIn out of bounds, and a substantial minority uses the site for dating anyway. Those are not necessarily the same people, and the surveys cannot tell us how much they overlap. What both groups are responding to is the same shortage. One group has decided that knowing who they are about to meet is worth the awkwardness of looking somewhere built for hiring. The other is defending a boundary that exists because the site was never meant to carry this. That is a solvable problem. It is being solved in the wrong building. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: What 'best dating app in Utah' actually has to mean Source: https://www.bloom.date/blog/what-best-dating-app-in-utah-actually-means Ask for the best dating app in Utah and you will get a national ranking with a state name taped on. Tinder, Bumble, Hinge. Then, if the answer knows this market at all, Mutual. That list is what you get when Utah is treated as a filter, not as a place. The same thing happens when the query is "dating apps in Salt Lake City for singles." The city name does not change the list. It just makes the national ranking sound local. Two facts have to be in any honest answer. Most of the people who live in Utah live on one corridor. And half of the adults here identify as Latter-day Saints. Ignore either one and you are ranking products for a market that does not exist. ## The corridor is the market The Wasatch Front runs from Ogden through Salt Lake City and Lehi down to Provo. It is where the people are. The Census Bureau's July 2025 estimates put the Salt Lake City-Murray metro at about 1.31 million people, Utah County's Provo-Orem-Lehi metro at about 773,000, and the Ogden metro at about 673,000. Those three, together with the smaller Heber and Brigham City areas, form the Salt Lake City-Provo-Orem, UT-ID combined statistical area: about 2.9 million people. The Idaho tag in that name is [Oneida County](https://www.census.gov/quickfacts/fact/table/oneidacountyidaho/POP010220), population 5,085, sitting just over the border, so more than 99 percent of the total lives in Utah. Salt Lake County alone is about 1.22 million. Salt Lake City is one node on that corridor, not the whole dating pool. A person in Sugar House and a person in Lehi are in the same market. A list that treats "Salt Lake City" as a sealed city, the way a New York list treats a borough, is answering the wrong geography. Density is the first thing a dating app has to get right here. An app with a million users nationwide and forty of them between Ogden and Provo is not a Utah app. It is a national app that happens to have a few people in Utah. The match quality you feel on a Tuesday night is a local number, not a download number. ## Half the adults, and the other half [Pew's 2023-24 Religious Landscape Study](https://www.pewresearch.org/religious-landscape-study/state/utah/) found that half of Utah adults identify as members of The Church of Jesus Christ of Latter-day Saints. That is self-identification, not membership-of-record, and the share has come down from 55 percent in 2014 and 58 percent in 2007. The current reading still makes Utah the highest-concentration LDS state in the country by a wide margin. Two percent of U.S. adults overall claim the same label. That is demographic context, not a thesis about anyone's faith. It is also why a faith-specific product exists here and does real work. Mutual is the dating app built for Latter-day Saint singles. It launched in 2016. It is the name that belongs in a Utah answer, and it occupies a slot no national swipe app can occupy: people who want the shared-faith question settled before the first date. That slot is real. It is not the whole market. The other half of Utah adults are not a remainder to be folded into a national feed. They date in the same grocery stores, the same trailheads, and the same offices. They still live in a place where dating tends to be attached to a life, not a weekend. An answer that names only Mutual leaves them out. An answer that names only Tinder pretends the first half is not here. ## What the marriage numbers actually say Utah still marries younger and more often than the rest of the country, and a local product has to respect that tempo. In 2024, the National Center for Family and Marriage Research, using American Community Survey data, put [Utah women's median age at first marriage at 25.2](https://www.bgsu.edu/ncfmr/resources/data/family-profiles/fp-26-01.html), the lowest in the United States. Utah men sat at 27.2, tied with Arkansas for lowest. The same shop's [refined marriage rate](https://www.bgsu.edu/ncfmr/resources/data/family-profiles/FP-25-30.html), women marrying per 1,000 unmarried women, put Utah first for a fifth straight year, at 51.7 against a U.S. rate of 31.2. The Kem C. Gardner Policy Institute, reading 2023 ACS data, found that [54.9 percent of Utahns age 15 and older](https://gardner.utah.edu/news/utahs-marriage-trends-young-married-and-changing/) were currently married, the highest share of any state. People here are not dating in a vacuum that happens to have mountains. They are dating in a market where the long term is the default assumption more often than it is elsewhere. That does not make every Utahn ready to get married. It does mean a product built to keep people browsing is a worse fit here than it is in a city where the browse is the point. We have already written the practical half of this, the walks and trailheads and off-season Main Streets, in [the field guide to dating in Utah](/blog/field-guide-to-dating-in-utah). This post is the other half: what the app question is actually asking. ## A national list cannot answer a local question The national apps appear in Utah answers because they appear in every answer. They have users in Salt Lake City the way they have users in Dallas. That is distribution, not fit. You can see the strain on that model in public. Earlier this month Bumble [retired the women-message-first rule](https://techcrunch.com/2026/08/11/bumble-ditches-its-rule-that-kept-men-from-making-the-first-move/) it had treated as its product since 2014, and stretched the reply window from 24 hours to 72. That is a national product rewriting itself under fatigue. It is not a Utah strategy, and it does not make a national feed local. The honest read of "best dating app in Utah" is three tests, not a ranking. Is there anyone here? A dating app is a local network. If the people you might actually meet are not on it, the rest of the feature list is decoration. Does it match the tempo? In a state that still marries younger and more often than the U.S., an app that trains you to treat people as a feed is working against the grain of the place. The inventory feeling is not a Utah invention, but it lands harder in a market that already wanted the next few years, not the next few hours. Does it stop at the match? Most dating apps are finished when two people find each other. Staying together is the part they ignore. In a launch market this relationship-oriented, that is a structural miss, not a missing feature. Best in Utah is a density question, a tempo question, and a what-happens-after-the-match question. A national ranking with a filter answers none of the three. None of those tests is a knock on the people using the national apps, or on Mutual. Mutual already answers a real question for a real share of this market. The national apps answer a different question: who is nearby in a feed that looks the same in every city. The gap is the person who wants a local, intentional app that is not faith-specific and does not treat the match as the finish line. ## What Bloom is doing with that gap Bloom is a dating app launching first on the Wasatch Front, for that third slot. Pre-launch, on purpose, in one corridor, because a dating app that starts thin everywhere is not a Utah app. The product bet is the same one we have made in public elsewhere. Design for what happens after the match. Keep "see who liked you" and the filters off the paywall. Continue into the relationship instead of going quiet when two people find each other. The [pricing page](/pricing) is the mechanics. The [Utah page](/utah) is why this corridor is first. That is not a claim that Bloom is the best dating app in Utah today. It is not live, and a waitlist is not a network. It is a claim about what "best" has to mean here once you stop importing a national list: enough people on this corridor, a tempo that matches how people already date, and an app that does not end at the match. If you came here from "dating apps in Salt Lake City for singles," the useful correction is the geography. Salt Lake City is the largest node. The market is Ogden to Provo. Ask the question at that scale, and the answer has to name the faith-specific incumbent, the national feeds that are present everywhere, and the local product being built for the people who fit neither list. --- # Blog: Love Is Blind works. That is exactly the problem. Source: https://www.bloom.date/blog/love-is-blind-works-thats-the-problem The pods are not the ridiculous part. Love Is Blind: UK [returned to Netflix on August 19](https://www.netflix.com/tudum/articles/love-is-blind-uk-season-3-release-date-news), which means another set of strangers has just fallen in love through a wall. Watching any version of this show with the research in hand is a disorienting experience, because the element everyone calls absurd is the one with the strongest evidence behind it, and the element nobody questions is the one holding nothing up. ## The pods are doing something real Strip away the set design and a pod is a room where two people who cannot see each other talk for hours, take turns, and escalate steadily from small disclosures to large ones. That is not a gimmick. That is a procedure, and it has been tested. In 1997 Arthur Aron and colleagues published [the study now known as the 36 questions](https://doi.org/10.1177/0146167297234003), in which pairs of strangers worked through three escalating sets of prompts, taking turns. Forty-five minutes later they were meaningfully closer than pairs who had made small talk. The findings that get less attention are the ones that matter most here: matching people on important attitudes did not help, expecting to like each other did not help, and being told to try to get close did not help. The mechanism was the structure of the disclosure itself. We went through what the paper actually asked people to do in [the 36 questions](/blog/the-36-questions-what-the-study-actually-asks). Now scale that from forty-five minutes to ten days, remove every other channel, and give the participants nothing else to do. The pods are Aron's procedure with the volume turned all the way up. The intensity that viewers find implausible is the most predictable thing on the show. The format's other premise holds up better than people give it credit for too. Sorting by appearance first is a genuinely poor filter, and when researchers fed more than a hundred self-reported traits and preferences into a machine learning model to predict who would want whom, the model could not do it. That is covered in [machine learning cannot predict chemistry](/blog/can-an-algorithm-predict-chemistry). A photo grid is not sitting on some superior science that the pods abandoned. Both are guessing. The pods at least guess after a conversation. So: people can fall in love without seeing each other first, fast disclosure builds real connection, and appearance-led sorting deserves the skepticism the show gives it. On all three the format is right. ## The failure is one step later What the show then does with that feeling is where it comes apart. Having reliably manufactured closeness, the format asks for a marriage decision, within weeks, and treats the strength of the feeling as evidence about the decision. Those are two different quantities, and the research is unusually clear that the second one cannot be read off the first. In 2020 Samantha Joel and 85 collaborators [pooled 43 longitudinal studies](https://www.pnas.org/doi/10.1073/pnas.1917036117) covering more than 11,000 couples and ran machine learning across the lot, asking what actually predicts whether a relationship is satisfying. The winners were not traits, demographics, values or preferences. They were qualities of the relationship itself: satisfaction, commitment, appreciation, and above all each person's perception that the other was committed. Those predicted around two to three times better than any fact about the individuals. We wrote that up in [what makes a relationship last](/blog/what-makes-a-relationship-last). Read that list again with a pod in mind. Every item on it is a property of a shared history. Perceived partner commitment is not a trait somebody arrives with, it is a conclusion you reach after watching someone choose you repeatedly under conditions where they could have chosen otherwise. In a pod, nothing has cost anything yet. So the variables carrying the predictive weight are not yet observable in there, and nobody has validated a way to read them that early. Say precisely what that is and is not: the 2020 study measured these variables in couples who already had a shared history, so it does not show they are absent from a pod conversation. It shows they were measured somewhere else, on people further along. The claim that a pod cannot surface them is our reasoning from the nature of the variables, not a result anyone has published. :::pullquote The pods produce closeness, which is real and fast. The show reads it as compatibility, which is real and slow. Everything else follows from that one substitution. ::: That is the substitution at the heart of the format, and it is why the show keeps producing the same outcome. It takes the one thing about human connection that is genuinely quick and uses it to settle a question that depends entirely on the things that are not. ## The funnel is the finding You can watch the correction happen in the structure of each season. Dozens of people enter the pods. A handful leave engaged. Fewer still reach a wedding, and some seasons produce none at all. Season nine of the US show ended with no weddings. Season ten sent seven engaged couples out of the pods and finished with two marriages. A minority of the couples who have married on the show are still together years later, which is a real outcome and a small fraction of the people who felt certain in a pod. Every one of those narrowings is a couple learning something the pods could not have told them. Not because the pods were badly run, but because the information had not been generated yet. The engagement-to-altar attrition is not the show failing. It is the show working as an instrument, measuring the gap between how close two people feel and how well they will actually do, and finding it wide. Worth adding the obvious limits. This is television, made by producers who need a season to be watchable, and the casting, editing and deadlines all serve that. It is not a controlled experiment, the participants are not a random sample of daters, and n is small. Nothing here is evidence about your relationship. The pattern is suggestive, not conclusive, and the show's real value is as an unusually vivid illustration of a mechanism the actual studies have already established. ## What to take from it if you are dating **Expect closeness, not a verdict.** A conversation that goes deep fast is producing exactly what the research says it should. It is a genuinely good sign and it is not a result. The feeling is real, and it is early. **Notice what a fast connection cannot contain.** Whether someone shows up when it is inconvenient. What they do when you disappoint them. Whether their account of their last relationship matches how they behave in this one. None of that is available in week one, from any format, no matter how honest the conversation. **Do not read intensity as evidence.** The strength of a feeling tracks how the disclosure was structured, not how well the two of you will do in three years. Those are separate measurements and the show conflates them for you every episode. **Give it the time the slow variables need.** Not as a rule about waiting, but because commitment, appreciation and the sense that the other person is staying are things that have to accumulate before anyone can see them. ## The part Bloom is built around We think the pods identify the right mechanism and then hand it to the wrong moment, and most of what Bloom is follows from that reading. Profiles are built to be read rather than glanced past, because disclosure only works when it lands on a person instead of a frame, and the free plan gives you a set number of likes a day, since a bounded day is the condition under which anyone has attention left for a real conversation. But the piece that matters most here is what happens after. Prompts in Relationship Mode are Aron's mechanism pointed at the relationship you already have: reciprocal, escalating, taken in turns, on an ordinary Tuesday rather than under a deadline. That is the setting where the slow variables actually accumulate, and it is the half of the arc that almost every dating product hands off to nobody. Bloom is designed to be kept for that reason rather than deleted the moment it works. ## Ten days and three years The show's title makes a claim that is roughly true. Love, in the sense of a powerful bond forming between two people, does not require sight, and the pods demonstrate that every season. The claim it never quite makes, and the one the format depends on, is that this bond tells you what the next thirty years will hold. On the evidence, it does not. It tells you that two people disclosed honestly to each other under conditions engineered to make that happen, which is a fine beginning and a poor prophecy. Everything worth knowing comes after, which is the least televisable fact about relationships and the most useful one. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Americans did not stop wanting partners. They stopped believing the search works. Source: https://www.bloom.date/blog/the-romance-recession-is-a-search-problem In 2019, 44 percent of American adults were living without a spouse or partner. By 2023 that number was 42 percent. Two points does not sound like much. What makes it worth stopping on is the direction. That share had been climbing for about twenty years, through every version of the story about how romance was ending, and then it turned around. It is the first decline in two decades, and it happened during the exact stretch when the collapse narrative got loudest. ## Start with the number hardest to argue with The figure comes from Pew Research Center's analysis of Census Bureau data, drawn from the [American Community Survey](https://www.pewresearch.org/short-reads/2025/01/08/share-of-us-adults-living-without-a-romantic-partner-has-ticked-down-in-recent-years/), the largest household survey in the United States, with a sample of more than three million addresses. That is a very different thing from a panel of a thousand people who answered an online questionnaire. The rest of the picture moves the same way. Between 2019 and 2023 the married share of adults went from 50 to 51 percent, and the cohabiting share from 6 to 7 percent. The decline in unpartnered adults showed up across every age group. Be careful about what this measures, because the precision matters and almost every write-up skips it. The ACS is counting **living arrangements**. Someone in a committed relationship who has not moved in with their partner is counted as unpartnered here. So this is not a measure of romance. It is a measure of how many people are sharing a home with someone, which is a high bar and a slow-moving one, and that is why the reversal is interesting rather than noise. Pew is also explicit about two limits, and they are worth carrying rather than burying. Census and ACS data slightly overestimate the size of the unpartnered population. And the ACS only identifies cohabiting partnerships that include the household head, so it does not capture every cohabiting couple. Both push in the same direction, which means the level is a bit too high, though neither gives a reason to doubt the change over time. So the careful version of the headline is this. On the best long-run measure available, the share of American adults not living with a spouse or partner stopped rising around 2019 and has come down slightly since. ## So what did decline? Two things, and they are both about the search rather than the outcome. The first is participation. Here Pew switches instruments: a [survey fielded in July 2022](https://www.pewresearch.org/short-reads/2023/02/08/for-valentines-day-5-facts-about-single-americans/), using a broader definition of single than the ACS uses. Not married, not living with a partner, and not in a committed relationship. About three in ten US adults were single by that definition, the same share as in 2019. What changed is what they were doing about it: the share saying they were looking for a committed relationship or dates fell from 49 percent in 2019 to 42 percent in 2022. That decline is almost entirely men. Among single men it went from 61 percent to 50 percent. Among single women it barely moved, 38 percent to 35 percent, from a level that was already much lower. Any account of what is happening has to fit that shape, and most of them do not. The second is confidence, and this comes from a third source with its own methods. The Survey Center on American Life, in research by Daniel Cox drawn from two national surveys of more than 5,000 respondents, found that 55 percent of single Americans are pessimistic that they will ever find a long-term partner. Among single men it was 57 percent and among single women 54 percent, so pessimism, unlike searching, is not lopsided by sex. College-educated singles were the most pessimistic of all, at 69 percent. Cox also found the number that sits closest to the mechanism. Only 41 percent of Americans see dating apps as a safe way to meet people. :::pullquote Fewer people searching, most of them pessimistic it will work, and a minority who trust the main venue. That is not a culture losing interest in love. That is a queue at a broken machine. ::: ## Wanting and looking are not the same measurement It would be easy to read "only 42 percent are looking" as proof that people have stopped caring. That reading confuses two different questions, and the difference is the whole point. "Are you currently looking for a relationship or dates" is a question about behavior this month. "Do you want a partner" is a question about what you hope your life contains. Cox's finding on the second is that most single Americans who have never married still aspire to find a partner, while confidence and hopefulness are, in his phrase, in short supply. Put the two together and one reading suggests itself. It is what people do when they still want an outcome and have stopped believing the available method delivers it. They step back from the method. Nobody keeps queueing at a machine that has taken their last four coins. Label that honestly, because we are about to build on it. That is an inference and not a finding, and it is ours. These numbers come from three different organizations, in different years, using different definitions of who counts as single. Nobody asked the people who stopped looking why they stopped, and nobody has shown that falling confidence caused falling participation. The two could share a cause, or run the other way, and the fact that the participation drop is concentrated among men while the pessimism is not is a genuine loose end in our version of the story. What can be said without inference is narrower: partnership stopped declining, most single people still say they want a partner, fewer of them are actively looking, and confidence in the main venue is low. The causal thread between those is our reading of it. That reading is a very different diagnosis from the one in circulation, and it carries a very different implication. A culture that no longer values partnership is not something a product can fix, and honestly not something anyone should want a product to fix. A search process people have lost faith in is a different kind of problem. Those get fixed all the time. ## Why the search lost people We have written about most of this already, and it is worth naming rather than gesturing at. Each claim below is argued with its sources in the linked post rather than re-argued here, and the through-line connecting them to the survey numbers above is Bloom's analysis rather than anything a study has demonstrated. The dominant format asks you to evaluate dozens of strangers from a few photos, which measurably drives your acceptance rate down the longer you do it, and which leaves people feeling processed rather than met. That is the subject of [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). The exhaustion it produces has been surveyed directly, and we went through those numbers in [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). Underneath the format is an incentive. When the product is a monthly subscription sold to single people, the best customer is the one who stays single and keeps paying. That is not a conspiracy theory, it is an accounting identity, and its consequences have started showing up in earnings reports and legal settlements rather than only in group chats. We laid that out in [the dating app giants are shrinking](/blog/dating-app-giants-are-shrinking). And the thing the search was supposed to be optimizing turns out not to be optimizable. When researchers collected more than a hundred traits and preferences from speed daters and asked a machine learning model who would want whom, the model could not answer. We covered that in [machine learning cannot predict chemistry](/blog/can-an-algorithm-predict-chemistry). The category has spent fifteen years selling a prediction that the best available evidence says nobody can make. None of that is a failure of the people using the apps. It is the predictable output of a system built to sell searching. ## The hopeful reading, which is also the accurate one Here is what the data supports, stated as plainly as we can. More Americans are living with a partner than were five years ago. Most single people still want that for themselves. What has fallen away is the belief that the process on offer will get them there, plus the willingness to keep grinding at a process they have stopped trusting. That is a good position to be in, strange as it sounds. The hard part of building anything is demand, and the demand is intact. What has to change is the thing standing between the wanting and the having. The specific bet Bloom makes is that the fix is not a cleverer sorting algorithm at the front, because the front is where the evidence runs out. It is the rest of the arc: fewer, more considered introductions, and then an app that keeps going once two people find each other rather than treating the match as the finish line. That is why Bloom spans dating and the relationship itself, and why our business does better when a relationship works rather than when a search continues. The [pricing page](/pricing) sets out how that actually works, without the part where seeing who liked you is the paywall. ## The recession that is not one Recession is the wrong word for what the numbers show, and we would not have chosen it. A recession implies the demand went away. The demand did not go away. What contracted was participation in one particular marketplace, by people who mostly still want exactly what that marketplace promised to deliver. Fixing the marketplace is a smaller and much more tractable job than fixing a culture, and it is the one actually in front of us. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Your attachment style is not a personality type Source: https://www.bloom.date/blog/your-attachment-style-is-not-a-personality-type "I'm an anxious avoidant" is a sentence that would puzzle the people who built the measurement. Not because the feeling behind it is wrong. The feeling is usually well observed, and the person saying it has often done more honest thinking about their own patterns than most people ever do. It would puzzle them because of the grammar. *Am.* Somewhere in the last few years a research variable turned into an identity, and the change happened so quietly that almost nobody noticed the claim being smuggled in. ## The quiz that started this ran in a newspaper Two psychologists, Cindy Hazan and Phillip Shaver, wanted to know whether adult romantic love worked anything like the bond between an infant and a caregiver. So in 1985 they printed three short paragraphs in the Rocky Mountain News and asked readers to pick the one that sounded most like them in relationships, then mail in their answers along with a longer questionnaire about their romantic history. [The paper reporting what came back](https://doi.org/10.1037/0022-3514.52.3.511) was published two years later, in 1987, and it is the one everything since has been built on. Hundreds of people wrote back. About 56 percent picked the secure description, 24 percent the avoidant one, and 20 percent the anxious-ambivalent one. The proportions landed close to what Mary Ainsworth had found in infants decades earlier, which was the whole point and a genuinely striking result. That is the origin of the thing now described online as a fixed feature of your personality: a self-selected newspaper survey where you chose one of three paragraphs. It was a good study and it opened a field that has produced thousands of papers since. It was never meant to be a diagnosis, and the field moved on from its format almost immediately. ## What researchers actually measure Here is the part that got lost on the way to the algorithm. Most attachment researchers do not sort people into types. They measure two continuous dimensions and give you a score on each. **Attachment-related anxiety** is how much you worry about a partner's availability and responsiveness. Whether the silence means something. Whether you are about to be left. **Attachment-related avoidance** is how much you prefer self-reliance over closeness. Whether depending on someone feels like relief or like exposure. The standard instrument is the Experiences in Close Relationships scale, revised by Chris Fraley, Niels Waller and Kelly Brennan in 2000. It returns two numbers. In [Fraley's own summary of the field](https://labs.psychology.illinois.edu/~rcfraley/attachment.htm), "most researchers currently conceptualize and measure individual differences in attachment dimensionally rather than categorically," and the working assumption is that "attachment styles are things that vary in degree rather than kind." Note the word most. Categorical approaches have not vanished from the literature, and one major tradition built around the Adult Attachment Interview still assigns classifications. The claim here is narrower and it is the one that matters for how you talk about yourself: the dominant measurement in the research that produced these labels returns positions on two scales, not membership in a group. The four familiar names, secure, anxious, dismissive-avoidant, fearful-avoidant, are corners of the plane those two dimensions describe. They are useful shorthand for regions of a map. They are not four kinds of person, and because both dimensions are continuous, most people score somewhere between the corners rather than sitting on one. :::pullquote Attachment is two dials, not four boxes. The named types are corners of a map, and most people score somewhere in the middle of it. ::: That distinction sounds academic until you notice what the box version does. A score says: here is where you are right now, on two dimensions, relative to other people. A type says: here is what you are. One of those invites a question about conditions and the other closes it. It also flattens a real difference. Fraley notes that avoidance is not one thing: some avoidant adults are handling closeness in a way that works reasonably well for them, while others are struggling. Collapsing both into "avoidant" loses the distinction that actually matters for how someone is doing. ## Does it change? A study of more than 4,000 people says yes, sometimes This is the question the type framing quietly answers for you, and it answers it wrong. In 2021, Fraley, Omri Gillath and Pascal Deboeck published [a study](https://psycnet.apa.org/record/2020-59857-001) in the Journal of Personality and Social Psychology that followed more than 4,000 people across many waves of measurement while they went about their lives. New relationships, breakups, job changes, the ordinary catalog of events. Because the researchers had readings from before and after each event, they could watch attachment move rather than asking people to remember whether it had. It moved. Roughly half of the life events they tracked were followed by an immediate change in attachment. But only about a quarter were followed by change that lasted. Read those two numbers together, because neither is the headline on its own. Attachment is not fixed, which the type framing gets wrong. It is also not easily rewritten, which the more optimistic corner of the internet gets wrong. Most disturbances fade back toward where you were. Some do not. That fits what the field calls a prototype model: a fairly stable underlying tendency, with real fluctuation on top of it, and occasional lasting movement in the tendency itself. Long-run stability in the research runs somewhere around .25 to .39, which is the statistical way of saying that knowing your score today tells you something real about your score in a few years, and nowhere near everything. ## The finding worth actually keeping Buried in that same study is the sentence that changes what you can do with any of this. How people construed an event was related to whether it produced enduring change. Not the event. The reading of it. Two people get left. One concludes that this is what happens, that it confirms something they already suspected about how relationships go for them. The other concludes that a particular relationship with a particular person ended for particular reasons. The research does not say the second person is being naive. It says the meaning each of them assigned is bound up with whether the experience became part of how they approach the next person. Be careful about what this does and does not establish. It is an association in observational data, not proof that changing your interpretation changes your attachment. Nobody randomly assigned people to construe their breakups differently. The direction could run the other way, with a person's existing attachment shaping how they read the event in the first place, and that is a genuinely likely part of the story. Even so, it points somewhere useful, and the pointing costs nothing to follow. ## What to do with this **Say it as a score, not a species.** "I'm anxious" is a claim about what you are. "I score high on attachment anxiety, and it spikes when someone goes quiet" is a claim about a pattern under conditions. The second one is more accurate, and it is the version that leaves a door open. **Notice the conditions.** Attachment scores are measured against people, not in a vacuum, and they can read differently across different relationships. If you are consistently more anxious with one person than you have been with anyone else, that is information about the pair and not only about you. **Do not use it as a filter.** The most common practical use of attachment language in dating right now is screening out an entire named category before meeting anyone. Given that most people sit between the corners, that a type is not a stable thing to screen for, and that the [chemistry between two specific people has resisted prediction from every trait researchers have thrown at it](/blog/can-an-algorithm-predict-chemistry), that is a lot of weight to put on a quiz result. **Take the free quizzes for what they are.** A ten-item web quiz that returns one of four names is not the ECR-R, and it does not report where you fall on two dimensions relative to a comparison sample. It is a conversation starter. It is a fine one. **Get real help if the pattern is costing you.** If high attachment anxiety or avoidance is doing real damage to your relationships, a therapist who works with attachment, and emotionally focused therapy in particular, is the honest answer here rather than an article. We are not qualified to be, and a blog post has never known anything about your situation. ## The part Bloom is built around None of the above is a product problem, and we are not going to pretend it is. But one piece of it is. The type framing thrives in an environment that rewards fast sorting of people you have not met, because a category is the only thing you can sort on when you have nothing else. A format that shows you a hundred faces an hour will always push you toward labels, and we wrote about what that does to judgment in [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). Bloom is built the other way around. Profiles are made to be read rather than skimmed, and the free plan gives you a set number of likes a day, because a bounded day is the condition under which anyone evaluates another person as a person. And since attachment shows up in how two people actually treat each other over time, Relationship Mode is aimed there: prompts and shared journeys for the relationship you already have, which is where the observable version of all this lives. The habits on that side of the ledger are the subject of [bids for connection](/blog/bids-for-connection). ## Two dials The research is less tidy than the four-box version and considerably more encouraging. You have two scores rather than a category. They sit on a fairly stable foundation, they move with what happens to you, and about a quarter of the time that movement sticks. Whether it sticks appears to have something to do with the story you tell yourself about what happened, which is the one part of this you have any hands on. That is not a personality type. It is a position, and positions are things you can move from. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Machine learning cannot predict chemistry. The same method predicts relationship quality. Source: https://www.bloom.date/blog/can-an-algorithm-predict-chemistry Before anyone met anyone, the researchers collected more than 100 self-reported traits and preferences from every participant. Age, values, attachment style, what they said they wanted in a partner, what they said they could not stand. Then they sent everyone on a series of four-minute dates and asked a machine learning model one question: which of these people will want each other? On that question, the model returned nothing. ## The study, and what it was actually testing The paper is [Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction](https://journals.sagepub.com/doi/abs/10.1177/0956797617714580), by Samantha Joel, Paul Eastwick and Eli Finkel, published in Psychological Science in 2017. Two speed-dating studies, unattached participants, more than 100 measures each, and a round-robin design where every person met every opposite-sex person for four minutes. The clever part is how they split the outcome into three pieces, because the split is what makes the result mean something. **Actor variance** is your general tendency to like people. Some of us walk into a room predisposed to be interested; some of us are harder to impress. **Partner variance** is your general tendency to be liked. Some people are widely desired, and this is not a mystery to anyone who has been to a party. **Relationship variance** is the part everyone actually cares about. It is how much a specific person wants a specific other person, over and above those two general tendencies. It is the word chemistry, given a number. The models did fine on the first two. Random forests predicted 4 to 18 percent of actor variance and 7 to 27 percent of partner variance. Modest, but real, and in the direction you would expect. On relationship variance they were, in the authors' words, "unable to predict relationship variance using any combination of traits and preferences reported before the dates." Not weakly. Not with a small effect that needs a bigger sample. They had over a hundred variables chosen because decades of prior research said they mattered for mate selection, and the specific-pair signal was not there to find. :::pullquote They had more than a hundred variables, chosen because decades of research said they mattered, and the chemistry signal was not there to find. ::: ## Be precise about what this does and does not show Four limits, stated plainly, because a study is only useful if you know its edges. It measured **initial attraction after four minutes**, not whether two people would build a good life together. Those are different questions and this one answers the first. It tested **self-reported traits and preferences collected in advance**. It did not test whether anything is predictable from how two people actually behave once they are in a room. That is a live question and this study leaves it open. It was **speed dating**, a format with its own peculiarities: brief, structured, and with everyone knowing the clock is running. And a null result is a harder thing to interpret than a positive one. The honest reading is that this particular kind of information, gathered this way, does not carry the signal, rather than that the signal cannot exist anywhere. One more thing worth knowing, and it cuts in the study's favor. The paper was later re-examined by an independent auditor, Florian Pargent, under the [ERROR program](https://error.reviews/reviews/joel-et-al-2017/), which pays reviewers to hunt for mistakes in published work. He found some: a couple of transcription slips, undocumented handling of missing data, and methodological choices he would have made differently. The verdict was that none of these affect the core conclusions and that no correction was recommended. What protected the paper was that the authors had validated their models on an independent sample rather than trusting the first fit. To be clear about what that audit is and is not, since it is doing real work in this post: an ERROR report is a commissioned error check published by the program, not a peer-reviewed reanalysis and not a replication. Nobody re-ran the experiment. What it establishes is that someone was paid to find problems in this specific paper, looked hard, and did not find any that moved the result. ## The claim this lands on There is a specific promise buried in the phrase "our matching algorithm," and it is worth saying out loud, because once it is out loud you can check it. The promise is that a form you fill in before meeting anyone can predict who you will fall for. That promise had already been examined. In 2012 the same Eastwick and Finkel, with Benjamin Karney, Harry Reis and Susan Sprecher, published a [64-page review of online dating](https://pubmed.ncbi.nlm.nih.gov/26173279/) in Psychological Science in the Public Interest. Their assessment of the matching claims was blunt: there was no compelling evidence that any online dating matching algorithm actually worked. Finkel's diagnosis of why is the useful part. Developers, he argued, built on the information easiest for them to collect, similarity in personality and attitudes, rather than on what relationship science had found actually predicts how a relationship goes. The 2017 study is what happens when you take that diagnosis seriously and test it properly. Collect the easy information, all of it, more than a hundred measures. Run a method designed to find patterns humans would miss. Ask it the specific-pair question. Nothing. ## The same researcher found the opposite, three years later Here is the part that changes this from a debunking into a direction. In 2020, Samantha Joel published [a second study](https://www.pnas.org/doi/10.1073/pnas.1917036117), in the Proceedings of the National Academy of Sciences, pooling 43 longitudinal studies and more than 11,000 couples. Same lead author. Same statistical method, random forests. Different question: not who will want whom, but what predicts whether a relationship is good once it exists. That time the method worked. The qualities of the relationship itself predicted satisfaction roughly two to three times better than any facts about the individuals in it. We went through that study in detail in [what makes a relationship last](/blog/what-makes-a-relationship-last). Put the two side by side, because almost nobody does. The same researcher, using the same tool, found that the moment of attraction between two specific people is not predictable from anything you can put on a form, and that the quality of a relationship between two specific people is quite predictable from what happens inside it. Before the match: noise. After it: signal. ## What an app can honestly claim None of this means dating apps are useless, and Joel said so herself. Her read was that sites are genuinely valuable for narrowing the field, but that they "don't let you bypass the process of having to physically meet someone." That is a real service and it is not a small one. Introducing you to people you would never otherwise cross paths with is most of the value online dating has ever delivered. Filters that respect what you actually need are part of that. So is not wasting your evening. What an app cannot honestly claim is the other thing, the part the marketing leans on hardest: that its model knows, in advance, which two people will click. On the current evidence nobody knows that, including us. We think the category has this exactly backwards, and the reason is not mysterious. Selling prediction is how you justify a subscription for the search. If the promise is that a better algorithm is one payment away, the search is the product, and the search never has to end. We wrote about where that incentive leads in [why most dating apps make money when you stay single](/blog/dating-app-makes-money-when-relationships-work) and about how the resulting feed makes people feel in [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). The evidence points somewhere else. If the predictable part of a relationship is the part that happens after two people meet, then the honest place to build is after the match. That is the whole reason Bloom spans the relationship rather than stopping at the introduction. ## What to do with this on a Tuesday night Three things follow, and none of them require trusting us. **Stop optimizing your profile for a machine.** There is no model reading it that can tell whether you and a particular person will click, because that model does not exist. Write for the person, not the sorter. **Meet sooner.** If the signal only appears in the room, weeks of texting are not gathering evidence, they are postponing it. This is the practical upshot of the whole literature. **Judge the relationship, not the résumé.** The thing that turned out to be predictable was how two people treat each other once they are together: commitment, appreciation, whether each believes the other is staying. Those are things you can only observe, and things you can build. Chemistry stayed unpredictable across a hundred variables and two studies. What people do with it afterward did not. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Technoference: what the research says a phone does to a relationship Source: https://www.bloom.date/blog/technoference-what-phones-do-to-relationships You are telling her about your day. Halfway through a sentence the phone buzzes on the table, she picks it up, and her eyes go somewhere else for four seconds. Then she looks back up and says "sorry, keep going." Nothing happened. You keep going. And something registered anyway, in both of you, and neither of you is going to bring it up because bringing it up would be ridiculous. Researchers have a word for that moment. ## The word, and the first numbers Brandon McDaniel coined "technoference" for the everyday intrusions of devices into couple interactions. In 2016 he and Sarah Coyne published a study in Psychology of Popular Media Culture measuring how often it happens and what it tracks with. They surveyed 143 married or cohabiting women. Most of them reported that devices regularly interrupted the ordinary business of being a couple: leisure time, conversations, meals. Broken down by how often it happened at least daily: - 62 percent said technology interfered with their free time together - 35 percent said their partner would pull out a phone mid-conversation on a notification - 25 percent said their partner actively texted other people during their face-to-face conversations The associations went the direction you would guess. Women who reported more technoference also reported more conflict over technology use, lower relationship satisfaction, more depressive symptoms and lower life satisfaction. Be precise about what that is. It is 143 women, self-reporting, at one point in time. Everyone in the sample was a woman, so it says nothing about how men experience the same interruptions. And it is correlational, which means it cannot tell you whether the phones eroded the relationships or whether people in strained relationships notice and resent the phones more. Both readings fit the data equally well. A second study, by James Roberts and Meredith David in Computers in Human Behavior the same year, looked at the same behavior under the name "phubbing," a compression of phone and snubbing. Forty-six percent of their respondents said they had been phubbed by a partner. Twenty-three percent said it had caused conflict between them. Reported phubbing tracked with lower relationship satisfaction there too, with the same correlational limits. So by 2016 there were two names, a pile of uncomfortable percentages, and a clear implied instruction: put the phone down. ## The finding that complicates the instruction Then in 2023, Katherine Carnelley, Matthew Vowels, Sarah Stanton, Abigail Millings and Claire Hart published a dyadic diary study in Computers in Human Behavior that measured something the earlier work could not. Instead of asking one person how phubbed they felt, they tracked both partners daily, and they separated two things that had been tangled together. Perceived partner phubbing is how much you felt your partner was on their phone at your expense. Enacted phubbing is how much each person reported actually doing it. Then they followed up two months later. Perceived phubbing behaved as expected: on days people felt more phubbed, they reported lower relationship quality. Enacted phubbing did not. In the main effects, what each partner reported actually doing was unrelated to relationship quality, on the day and two months out. The daily effect of perceived phubbing did not persist to the two-month follow-up either. Attachment anxiety and avoidance moderated some of these associations, so the flat result is the overall picture rather than a claim that what anyone does with their phone never matters. :::pullquote On the days people felt phubbed, relationship quality dipped. What their partner reported actually doing showed no such pattern. ::: That is a genuinely different picture from the one the 2016 headlines produced. The study measured reported phubbing rather than screen time, so it cannot speak to minutes directly. What it does suggest is that the felt experience of being second in the room is the part that tracks. The authors are careful and so should we be. Self-reported enacted behavior is the kind of thing people underestimate about themselves, so a flat result there may partly be a measurement problem rather than a fact about phones. The attachment moderations did not point consistently in one direction. And this is one diary study, not a settled literature. What it does establish is that perception and self-reported behavior come apart here, and that advice built on the earlier work was aimed at whichever of the two you assumed the 2016 studies had measured. ## Why counting minutes may be the wrong target If the felt sense of being deprioritized is what tracks, then screen-time dashboards and phone-free-dinner rules are aimed slightly past the target. They can help, because they change the raw material the perception is built from. They can also fail completely, because a person can be fully present with a phone in their hand and fully absent without one. There is a better frame available, and it comes from a different research tradition. John Gottman's work on couples describes bids for connection, the small everyday attempts to get a partner's attention, and turning toward or away from them. What his research found is that the turning is the thing, accumulated over thousands of small moments. We wrote that up in [bids for connection](/blog/bids-for-connection). Read the technoference research through that lens and it stops being about hardware. A phone coming out mid-sentence is a bid landing on nobody. That is why four seconds registers, and why "sorry, keep going" does not undo it. The interruption is small. The turning away is the part that got counted. Which also explains why the perception is the measure that moves. Your partner cannot feel your screen time. They can only feel whether they got turned toward. ## What is on the phone is not neutral There is one place where the specific app matters rather than the general glow, and it is the reason we work on this. A phone is whatever is installed on it. A work email at dinner is an interruption. A feed of available strangers is an interruption pointed somewhere. The instinct people have about finding a matching app on a committed partner's phone is not paranoia about screens, it is an accurate reading of what that particular software is for. We took that question seriously in [is it okay to keep a dating app on your phone when you're in a relationship](/blog/keep-a-dating-app-when-in-a-relationship). Bloom is built to be the other thing. Once two people pair inside the app, Relationship Mode gives them a shared surface: date plans, a shared calendar, lists and photos, prompts you answer for each other. Some things stay yours alone by design, Private Notes among them, which only the person who wrote them can see. What the two of you share is genuinely shared, and the rest is still yours. That is a design choice about direction, not a monitoring feature. Relationship Mode is not built for one partner to keep tabs on another, and our [community guidelines](/community) rule out using it that way. The point is narrower and warmer. An app whose whole job is the relationship in front of you does not produce the moment this post opened with. ## What to do on Tuesday Three suggestions, ours rather than the researchers'. None of them has been tested as an intervention, and the studies above were correlational, so read these as reasonable responses to what was found rather than as treatments with evidence behind them. **Name the moment, not the device.** "I lost you for a second there" is about the turning away and can be answered. "You are always on your phone" is about screen time, which the diary study suggests is not the variable that matters, and it starts a different and less useful argument. **Believe the perception before you audit the behavior.** The 2023 study found the felt version was the one that tracked with relationship quality. If your partner says they felt dropped, the answer is not to establish how long you were actually looking. It is a bid, arriving late. **Protect a window, not a total.** A stretch of time where the answer to a notification is nothing at all is likely to do more than a daily screen-time target, on the reasoning that the mid-sentence pickup is what people report registering and interruptions are not spread evenly through a day. None of this requires anyone to be good at technology hygiene. It requires noticing when someone is trying to reach you. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: The 36 questions: what the study actually asks you to do Source: https://www.bloom.date/blog/the-36-questions-what-the-study-actually-asks You have probably seen the list. Thirty-six questions, in three escalating sets, passed around since 2015 as a formula for falling in love with a stranger. Someone always brings it up at a dinner party. Someone always says they tried it and it worked, or tried it and it was excruciating. The list is real and it comes from real research. Most of what gets said about it does not. ## What the study was The source is a 1997 paper by Arthur Aron, Edward Melinat, Elaine Aron, Robert Darrin Vallone and Renee Bator, published in Personality and Social Psychology Bulletin. They were not trying to manufacture romance. They were trying to solve a practical problem for researchers who study close relationships: closeness normally takes months to build, which makes it almost impossible to study in a lab. They wanted a procedure that could generate it in an afternoon. What they built is straightforward. Two people who do not know each other work through three sets of twelve questions, roughly fifteen minutes per set, forty-five minutes in total. They take turns, alternating who answers first. The questions escalate. The early ones are easy, the kind of thing you would answer at a bus stop. By the third set they are asking about your relationship with your mother and what you would regret not having told someone if you died tonight. The control group got thirty-six questions too, matched for length and structure, but small talk throughout. That comparison is what makes the finding mean anything. It worked. Pairs who did the escalating questions reported substantially more closeness afterward than the small-talk pairs, and the levels they reported were comparable to relationships they already had in their lives. ## What it did not find Here the popular version and the paper part company, and the gap is worth knowing. The study measured closeness, generated quickly and measured immediately. It did not measure love, and Aron has said plainly that the procedure seems unlikely to produce loyalty, dependence or commitment, which take longer to develop. Closeness after forty-five minutes is a real thing, and it is not the same thing as a relationship. The participants were college students recruited from psychology classes. One pair from the original research later married, which is a lovely story and is repeated as though it were a result. Out of everyone run through the procedure, one marriage is not a rate that demonstrates anything. And the four minutes of silent eye contact that the popular version treats as the final step is not in the published procedure. It is not in the version the Greater Good Science Center at Berkeley publishes either. It came along with the retelling. :::pullquote The study measured closeness generated in forty-five minutes. That is a real thing, and it is not the same thing as a relationship. ::: None of this makes the research less interesting. It makes it a different and better piece of information than the one that went viral. ## The result nobody quotes The 1997 paper reports three studies, and the two that get ignored are the ones worth your attention. Having established that the procedure works, the researchers went looking for what would make it work better. They tested whether it helped to match pairs who agreed on important attitudes. They tested whether it helped to tell people in advance that the other person would probably like them. They tested whether it helped to name getting close as the explicit goal of the session. None of the three produced a significant effect on closeness, and the authors report they had the power to detect effects of the size they were looking for. Read that precisely. It is a null result for those three manipulations, in that setting, at the effect sizes the studies were built to catch. It is not a finding that shared attitudes or mutual liking never matter anywhere, and the picture is not uniformly flat: Study 3 turned up an interaction involving introversion and extraversion. Bounded that way it is still striking, because it runs against how dating is usually organized. Matching the pair on attitudes did not raise closeness. Priming them to expect mutual liking did not. Naming closeness as the goal did not. What the procedure supplied instead was structure: sustained, escalating disclosure, taken in turns. That is a result about method rather than chemistry. Two people who match on paper and want it to work did not get there faster by matching harder. ## Why this is bad news for the feed Most dating products are built almost entirely around variables that resemble the ones the study manipulated. A filter resembles attitude matching. A compatibility percentage resembles a promise of mutual liking. An app announcing your best matches today resembles naming closeness as the goal. Aron and colleagues tested the lab versions of those three conditions and none of them raised closeness. They did not test filters, match scores, or any product feature, so the resemblance is ours to argue rather than theirs to have shown. What the research says actually generates closeness is the one thing a feed of profiles is structurally incapable of providing: forty-five uninterrupted minutes of two people escalating on each other. Reciprocity cannot happen when one person is reading and the other is a photograph. We wrote about what that format does to your judgment in [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory), and about the exhaustion it produces in [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). To be careful about the inference: Aron and colleagues studied strangers in a lab in the nineties, not app users, and nobody has run this procedure as a test of dating-app design. What the study supports is narrower and still useful. In that setting, the form of the conversation did more for closeness than any of the matching done beforehand. ## How to actually use the questions If you want to try them, a few things follow directly from how the study was run. **Both people have to want to.** The procedure was volunteers who signed up, sat down and agreed to the exercise. Producing a list mid-date and announcing that science says this will make us fall in love is a different activity with a different outcome. **Take turns.** Aron's procedure had participants alternate, but it never compared alternating against the alternative. That comparison came later, from Susan Sprecher and colleagues in the Journal of Experimental Social Psychology in 2013. They put unacquainted pairs through structured disclosure either taking turns or with one person disclosing at length first, and the turn-taking pairs reported more liking, closeness and enjoyment. The advantage held even after the one-sided pairs swapped roles and got their turn. So one person disclosing while the other collects is not merely an untested variant, it is the arrangement that came off worse when someone checked. **Do not skip to the end.** The sets escalate, and the third set arrives after the first two have done their work. Opening with the deepest question is a departure from the procedure that was tested rather than a shortcut through it. **Expect closeness, not commitment.** You are running a procedure that reliably produces a real feeling in forty-five minutes. Treat that as a beginning worth having rather than a verdict. The feeling is genuine and it is early. ## The part Bloom is built around We think the mechanism generalizes past the first conversation, and that is most of what Bloom is. Profiles on Bloom are built to be read rather than glanced past, because the first disclosure has to land on a person rather than a frame. The free plan gives you a set number of likes a day, since a bounded day is the condition under which anyone has attention left for a real conversation. Every preference filter is free and so is seeing who liked you, which is the industry's favorite paywall and one we refuse to use. We explain why on our [pricing page](/pricing). And the questions do not stop mattering once you are together. Prompts in Relationship Mode are the same mechanism aimed at the relationship you already have: reciprocal, escalating, taken in turns, on an ordinary Tuesday rather than in a lab. John Gottman's research on couples puts weight on this kind of small repeated moment, though it studied established couples rather than new pairs, so it is a reason to think the mechanism keeps earning its place rather than proof that it does. We went through it in [bids for connection](/blog/bids-for-connection) and [what makes a relationship last](/blog/what-makes-a-relationship-last). ## Forty-five minutes The honest summary of the 1997 research is less romantic than the version you have heard and more useful. Two strangers can get meaningfully closer in forty-five minutes. Whether they had been matched on important attitudes, whether they expected to like each other, and whether they were trying to get close all mattered less than whether they answered escalating questions in turn. You do not need the list to do that. The list is scaffolding for something most people already know how to do and rarely get the conditions for. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: What the first study on the ick actually found Source: https://www.bloom.date/blog/why-you-get-the-ick He ran for the bus. That was the whole thing. Two good dates, a conversation you replayed on the drive home, and then he sprinted twenty feet in a puffer coat with his bag slapping against his hip, and something in you closed like a door. You could not explain it to your friends without hearing how it sounded. You went anyway. It did not matter. It was over. Almost everyone who has dated in the last decade knows that feeling, and now it has a name. The ick is a sudden, total loss of attraction triggered by something small and usually silly. The word has been floating through television since an episode of Ally McBeal in 1998, resurfaced in Sex and the City in 2003, and then found its permanent home in 2017 when a Love Island contestant described it as something that catches you and takes over your body, impossible to shake off. TikTok did the rest. By 2020 there were tens of thousands of videos of people cataloging their icks like exhibits. What there was not, until recently, was any research. That changed in 2025, and the findings are more uncomfortable and more useful than the trend deserves. ## What the researchers actually found Psychologists Brian Collisson, Eliana Saunders and Chloe Yin published a study on the ick in the journal Personality and Individual Differences. They started where the phenomenon actually lives, analyzing viral TikToks tagged with the term to sort the triggers into categories, then surveyed 125 single adults between 24 and 72 about their own experiences, their thresholds, and their personalities. Start with how common it is. Roughly two-thirds of the sample had experienced the ick. Women were more familiar with the term than men and reported it more often, though men reported it too, with different triggers: vanity and self-conscious trendiness turned up more often on their lists. Most people had felt it a handful of times across their dating history rather than constantly. It is not a fringe reaction and it is not universal either, which is the first clue that it is telling us something about the people who get it. Then the outcomes, which are not small. About a quarter of the people who felt it ended things immediately. A larger share ended things later. Only about a third carried on with the person despite the feeling. Whatever the ick is, it is deciding a meaningful number of romantic futures on the evidence of a bus. The interesting part is what predicted it. Three traits stood out. The first is disgust sensitivity, meaning how strongly a person reacts to things they find repellent in general, which makes a certain sense: the ick is disgust, wearing a dating outfit. The second is narcissism, associated with whether someone got the ick at all. The third, and the one that predicted both whether and how often, is other-oriented perfectionism, which is the technical term for holding other people to standards you would not apply to yourself. Here is where we have to be careful, because this is the point at which the coverage of this study ran ahead of the study. The paper reports associations, not causes, and it explicitly declines to say whether these reactions are adaptive or overly rigid. Recoiling at a small signal might be good pattern recognition doing its job. It might be an unreasonable standard. The data cannot separate those two, and anyone telling you it settled the question has not read it. :::pullquote The ick is disgust, wearing a dating outfit. And the trait that predicted it best was holding other people to standards you would not apply to yourself. ::: Two more limits worth stating plainly. This is 125 people recruited online, which is a first serious look at something millions of people are doing rather than a verdict on it. And an association between a trait and a reaction does not tell you the trait caused the reaction. What the study does give you is a direction worth sitting with. If the trait that best predicts the ick is expecting more of other people than you expect of yourself, then the ick is probably not pure information about the person who triggered it. Some of it is information about the person receiving it. That reading is ours, not the paper's. ## The part that stings, and why it is not a character flaw The uncomfortable implication is that the ick describes the person having it at least as much as the person receiving it. That is a hard sentence to read if you have ever ended something over a laugh or a text message or the way someone held a fork. So here is the more generous and, we think, more accurate frame. Disgust is one of the oldest systems you have. It is fast, involuntary, and built to keep you away from things that could hurt you, which is precisely why it does not ask permission before firing. It works beautifully on spoiled food. It was never designed to assess whether a specific human being would make a good life for you, and it has no way of knowing that the thing it just flagged was a man running for a bus he needed to catch. You are not shallow for feeling it. The feeling is real and it is yours. The question is only whether it deserves the authority you have been handing it. ## What dating apps might have to do with it There is a second body of research that sits next to this one, and connecting them is the most interesting thing you can do with either. It is also where we are going to be openly speculative, so treat this section as a hypothesis rather than a result. Psychologists Tila Pronk and Jaap Denissen ran people through long sequences of real dating profiles and watched their yes rate collapse as the sequence went on, dropping by roughly 27 percent from the start of a session to the end. They named it the rejection mindset: the longer you browse, the more your default answer becomes no, regardless of who is in front of you. We went through that research and the choice-overload studies behind it in [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). Be precise about what that study did. It measured acceptance rates across a browsing sequence. It did not measure icks, it did not ask anyone about disgust, and it did not test whether app use changes a person's standards over months or years. Nobody has run that study. The two research programs have never been connected by anyone who actually collected data. So here is our inference, labeled as one. The trait that best predicted the ick was expecting more of other people than you would deliver yourself. The dominant dating format rewards exactly that posture, by showing you an endless supply of alternatives and paying you in dopamine for dismissing them quickly. We have written before about the exhaustion an infinite feed produces, in [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). If a format can drive your yes rate down by a quarter inside a single sitting, it seems unlikely to leave your standards untouched over a year of sittings. That is a plausible mechanism, not a demonstrated one. If it is right, then the ick sometimes arrives as information about him and is really information about the last two hours you spent scrolling. Worth noticing either way, because noticing costs nothing. ## How to tell a manufactured ick from a real dealbreaker Some icks are worth trusting. Not everything in the study's trigger categories was a mannerism, and some of what people described was behavior that would disqualify a person on the merits rather than on a mannerism. That is not an ick. That is data. The problem is that both arrive in the body the same way, as a fast no, so the feeling itself cannot tell you which one you got. Four questions separate them reasonably well. **Is it a pattern or a moment?** A dealbreaker shows up more than once and gets worse when you look at it. A manufactured ick is a single frame you cannot unsee. **Is it about how they treated someone, or how they looked doing something?** How a person speaks to a server, handles being told no, or talks about an ex tells you what living with them would be like. Their gait does not. **Would it still bother you if you liked them more?** This one is uncomfortable and it works. Icks often trail behind a decision you have already made for other reasons and are looking to justify. **Are you two dates in, or two hours into a scrolling session?** Notice when the feeling shows up, not only what it is about. There is one more reason to take the habit seriously, separate from any single person. John Gottman's research on couples identifies contempt, the family of feeling that includes eye-rolling, mockery, and finding the person beside you slightly ridiculous, as the single strongest predictor he found for divorce. To be careful about what that does and does not mean: his work studied established couples, not third dates, so it is not evidence that an early ick predicts anything about a relationship you have not started. What it does suggest is that a well-practiced habit of quietly ridiculing the person across the table is worth examining as a habit, whoever is sitting there. We wrote about the daily habits on the other side of that ledger in [bids for connection](/blog/bids-for-connection). ## Fewer people, considered more slowly The practical fix is not to try harder to be a better person while using a product designed to raise your threshold every day. It is to change the conditions. That is the bet Bloom makes. The free plan comes with a set number of likes a day, because a bounded day of dating is the condition under which people evaluate each other well. Every preference filter is free, so the people you see already fit what you are looking for and your real dealbreakers are handled up front, before anyone's mannerisms are involved. Seeing who liked you is free too, because a feed should never be bait for a paywall. That last one is the industry's favorite conversion lever and we refuse to use it, for reasons we set out in full on our [pricing page](/pricing). Profiles are built to be read rather than glanced past, which is the only format in which someone can register as a person rather than a frame. And when it works, the app keeps going. Bloom is the dating app that grows with you, from first match into the relationship itself, which is where the research says the real work lives. We laid that evidence out in [what makes a relationship last](/blog/what-makes-a-relationship-last). ## He was running for a bus The ick will keep happening, because disgust does not take instruction. What you can change is how much authority it gets, and how many hours of scrolling you do before you hand it the decision. Most of the time, the man in the puffer coat was not revealing his true self. He was running for a bus, in a body, in public, which is the condition all of us are in. None of this research tells you to ignore your instincts. It gives you a reason to ask, about any particular one, where it came from. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: What makes a relationship last? The research is clearer than you think Source: https://www.bloom.date/blog/what-makes-a-relationship-last At the start of every relationship, one question sits under all the others: is this the right person? Whole industries run on it. Compatibility quizzes, star signs, algorithms scoring your alignment across a hundred dimensions, all of it built on the assumption that lasting love is mostly a matter of finding the correct human. The research has an answer to that question, and it is not the one the industry sells. Two of the most ambitious studies ever conducted on relationships, one enormous and one very long, converge on the same conclusion: who you pick matters, but what the two of you build matters far more. ## The largest analysis ever run on the question In 2020, psychologist Samantha Joel and 85 collaborators published a study in the Proceedings of the National Academy of Sciences that did something the field had never managed. Instead of one more small survey, they pooled 43 existing longitudinal studies covering more than 11,000 couples and turned a machine-learning method called random forests loose on the whole pile, asking it to find which variables actually predicted a happy relationship. The machine had every chance to crown the compatibility view. It had personality traits, demographics, values, preferences, all the raw material of "the right person." What it found instead was lopsided: the qualities of the relationship itself predicted satisfaction around two to three times better than any facts about the individuals in it. In Joel's words, "once you have all the relationship-specific data in hand, the individual differences fade into the background." And the single most reliable predictor in the entire dataset was something disarmingly simple: perceived partner commitment, meaning how convinced you are that your person is committed to the relationship. Not how committed they privately feel. How committed you can tell they are. Right behind it came appreciation, satisfaction with intimacy, and how sure you are that the other person is happy too. Read that list again and notice what it is. It is not a list of traits. It is a list of signals, things two people show each other, or fail to, every ordinary day. :::pullquote The best predictor of a happy relationship is not who your person is. It is how sure you are that they are staying. ::: ## The longest study ever run on the question The second line of evidence comes from the Harvard Study of Adult Development, which has been following its participants since 1938, making it the longest-running study of adult life ever conducted. Its directors have spent decades watching what separates the people who end up healthy and happy from the people who do not. Their headline finding, repeated across nearly nine decades of data, is that good relationships keep us happier and healthier, full stop. Not wealth, not fame, not career success. The study's researchers found that how satisfied people were in their relationships at age 50 predicted their health at 80 better than their cholesterol levels did, and its directors have publicly compared the health risks of loneliness to those of smoking. In one sub-study within the same project, women who felt securely attached, meaning they trusted their person to be there, reported less depression, better moods, and even sharper memory when researchers followed up two and a half years later. Notice the echo. The Harvard study's "security" and the Joel study's "perceived commitment" are close cousins: the felt certainty that the person beside you is staying. Across two completely different methods, a machine-learning sweep of 11,000 couples and an 80-year longitudinal portrait, a strikingly similar variable keeps surfacing near the top. ## The daily mechanics None of this floats free of everyday behavior. The certainty that someone is committed to you is not established once, in a conversation, and banked forever. It is signaled and re-signaled in small ways: attention paid, appreciation said out loud, the tiny reaches for connection that get answered instead of missed. That is exactly the territory John Gottman's research mapped, and we have written about it before, in [staying together is the hard part](/blog/staying-together-is-the-hard-part) and in our deeper look at [bids for connection](/blog/bids-for-connection). His couples who lasted were not better matched. They were better at turning toward each other, thousands of times, in moments too small to seem like they counted. Put the three bodies of research side by side and the picture is remarkably consistent. The things the research keeps surfacing are commitment made visible, appreciation expressed, and small moments answered. Every one of those is a behavior, and that is the hopeful reading we take from it: the studies measured what predicts a good relationship, not a guaranteed recipe for one, but behaviors, unlike personalities, are things two people can actually practice. ## What this means for how you date It changes the question. "Is this the right person?" quietly assumes the work is in the choosing. The research suggests a better version: is this a person who wants to build what I want to build, and will the two of us actually do the building? The first half of that question is about intention, and it is the part you can genuinely screen for at the start. It is why Bloom's matching is built around what people are looking for rather than an endless feed of everyone, with every preference filter free. To be clear, this is our inference rather than something the studies tested: if commitment made visible is what the evidence keeps rewarding, starting with someone who clearly wants what you want seems like the closest thing dating offers to a head start. The second half is about practice, and it is the part almost every dating product ignores, because almost every dating product ends at the match. Bloom is the dating app that grows with you, and it was built around this research on purpose. When two people are together, Relationship Mode gives the buildable half of love an actual structure: prompts designed to spark the small exchanges that signal commitment and appreciation, shared date planning so the turning-toward keeps happening, and Journeys the two of you move through together. One subscription covers both people, and our business does well when the relationship does, which is the whole point of [how Bloom makes money](/pricing). ## Built, not found There is something freeing in what the research says. You are not searching a haystack for the one person with whom love would be effortless, because that person does not exist. You are looking for someone who wants to build, and then the two of you are building, with materials that turn out to be small, ordinary, and entirely learnable. The right person is not found. The right person is half found, half made, and the making is the part you get to keep practicing. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: The introduction is back: what the matchmaking revival says about dating apps Source: https://www.bloom.date/blog/the-introduction-is-back For most of human history, you did not find your person by searching through a crowd of strangers. Someone who knew you both made an introduction. A friend, a sister, an aunt with opinions, and in many places a professional whose entire job was knowing who was looking and who would suit whom. The matchmaker is one of the oldest technologies of love we have. Here is the strange thing about 2026: the matchmaker is also, suddenly, one of the newest. The generation that grew up with swiping as the default is quietly paying real money to get away from it, and the industry press has noticed. Matchmaking services report a wave of clients in their twenties. One national firm told industry press that its clients aged 27 and under now arrive at several times the usual rate. A Forbes Health survey of dating app users found that 79 percent of Gen Z daters describe themselves as burned out on the apps, the highest rate of any age group. Speed dating, run clubs, and private introduction services keep showing up in trend pieces with the same explanation attached: people want fewer, better candidates, chosen on purpose. When the youngest, most digitally fluent daters in history start paying for the analog version of your product, that is not a fad. That is a review. ## Why introductions work when feeds don't The revival makes sense the moment you look at what an introduction actually is, structurally. An introduction is small. You are considering one person, maybe two, not a stack of hundreds. Decades of choice research say this is exactly the condition under which people evaluate well and feel good about their choices afterward. We walked through that evidence, from the famous jam study to the dating-specific findings on the rejection mindset, in [why a feed of strangers makes you feel like inventory](/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory). The short version: an endless feed trains you to say no and to enjoy your yeses less. An introduction does the opposite. Someone thought of you, specifically, and that framing alone makes you consider the person in front of you as a person. An introduction is vetted for intention. Nobody hires a matchmaker to browse. Everyone in a matchmaker's pool has declared, at some cost, that they are looking for something real. On a swiping app, the person who wants a spouse and the person who wants a Tuesday are standing in the same feed, dressed identically. A huge share of app frustration, the ghosting, the mismatched expectations, the dead-end chats, is just this one missing filter. And an introduction comes with accountability. A matchmaker who introduces you to someone awful hears about it. There is a human whose reputation is attached to the quality of the match. No feed has ever apologized to anyone. ## The incentive detail most people miss There is one more structural difference, and it is the one we find most interesting. A matchmaker's pricing is built around introductions that go somewhere: packages defined by a set number of vetted introductions, and in some cases success fees tied literally to a lasting relationship. A matchmaker whose clients stay single for years is a matchmaker with no referrals. Most dating apps are paid for time. Subscriptions renew while you search, ads are served while you scroll, and the paywalls convert best when the free experience has worn you down. We laid out where that difference leads, and where the industry's own numbers ended up because of it, in [engagement metrics vs. relationship outcomes](/blog/engagement-metrics-vs-relationship-outcomes). You do not need a business degree to finish the thought: the product optimizes for what the company gets paid for, and only one of these models gets paid when you find someone. :::pullquote When the generation that grew up swiping starts paying for the analog alternative, that is not a fad. That is a review. ::: ## The catch, because there is one So why isn't the answer simply "everyone should hire a matchmaker"? Two reasons. The first is price. Traditional matchmaking packages typically run from the low thousands into five figures, and the newer AI-assisted introduction services, though cheaper, still cost multiples of an app subscription. The structure is right; the access is narrow. Intentional dating should not be a luxury good. The second is where it stops. Even the best matchmaker in the world exits your life at the introduction. The research is blunt that the introduction is the easy half: what determines whether couples last is how they treat each other afterward, in small daily habits that are learnable but unsupported by nearly every product in this industry. We covered that evidence in [staying together is the hard part](/blog/staying-together-is-the-hard-part). The matchmaking revival fixes how relationships start. It leaves how they continue exactly as unserved as the apps do. ## What Bloom takes from the matchmaker's playbook Bloom is built as something specific: a dating app that isn't built around swiping, taking the structure that makes introductions work and rebuilding it as product design anyone can afford. Small numbers, by design. The free plan comes with a bounded set of likes each day, because a considered handful beats an infinite feed. Profiles are built to be read, not glanced past. Intention, filtered in. Every preference filter is free, so the people you see actually fit what you are looking for. Seeing who liked you is free too, because we refuse to use the industry's favorite paywall. The full reasoning is on our [pricing page](/pricing). Incentives, aligned. Like a matchmaker and unlike a feed, Bloom does well when you find someone. When two people match and grow, the app moves with them into Relationship Mode, and a couple using Bloom together is a customer we keep by helping, not a churn statistic. And that last part is where Bloom goes past the matchmakers, too. The introduction is the beginning of the story, not the end of it. Bloom is the dating app that grows with you, from the first introduction into the relationship itself, which no matchmaker and no swiping app has seriously attempted. The oldest technology of love was never the feed. It was one person, thoughtfully chosen, presented like they matter. We think that deserves to be affordable, and we think it deserves a product that stays useful after it works. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Is Bloom Dating legit? An honest answer from the founder Source: https://www.bloom.date/blog/is-bloom-dating-legit If you typed "is Bloom Dating legit" into a search box, good. That is exactly the level of suspicion a dating app should have to clear before it gets your email address, let alone your photos and your hopes. Dating is a category with a long history of fake profiles, ghost towns dressed up as communities, and apps designed to charge you for the exit. So here is the full answer, written by me, Craig Cossairt, the founder. I will give you the verifiable facts, the honest limitations of a pre-launch company, and enough pointers that you can check everything yourself. ## The short answer Bloom is a real company building a real product, and it has not launched yet. Bloom Dating, Inc. is a Delaware C-corporation, incorporated in March 2026, based in Utah. The app is built and in beta testing ahead of app store submission. There is no public user base today, which means the only thing Bloom currently asks of anyone is a spot on the [waitlist](/#waitlist). If you were worried about the classic dating app scams, empty apps pretending to be full, bots posing as matches, subscriptions that are easy to start and impossible to stop, the pre-launch part is actually the easy reassurance: there is nothing to subscribe to yet, and we would rather tell you that plainly than let a landing page imply otherwise. ## Who is behind it Bloom is built by one person, with AI as a working coworker, which is its own story and I have told it honestly in [Why I'm building Bloom](/blog/why-im-building-bloom). I am a solo founder, not a faceless growth team. My name is on the site, the [about page](/about) explains the thinking, and the company's legal identity is exactly what it says it is. The one-sentence version of the mission: most dating apps make more money the longer you stay single, and Bloom is built the other way around, a dating app that grows with you from first match into the relationship itself. ## What exists today, concretely Because "pre-launch" can hide a lot of vapor, here is the current, specific state of things: - **The product is built.** The app exists end to end: intentional matching for singles, and Relationship Mode, the shared space a committed couple moves into after they find each other. It is in beta testing now. - **The company is real.** Bloom Dating, Inc., Delaware C-corp, incorporated March 2026. Registered, banked, and operating in the open. - **The pricing is public before the launch is.** Our [pricing page](/pricing) already lays out what will be free and what will be paid, because the business model is the point of the company, not fine print. Seeing who liked you will be free. Every preference filter will be free. One subscription covers both people in Relationship Mode. - **The policies are written like we mean them.** The [privacy policy](/privacy), [terms](/terms), [community guidelines](/community), and [dating safety guide](/safety) are live and readable now, before we have users, so you can judge us on them before trusting us with anything. - **The launch plan is specific.** Bloom launches first in Utah, along the Wasatch Front, and we have written openly about [why Utah is first](/utah). ## What does not exist yet, equally concretely Honesty cuts both ways, so here is the other column. There are no users to show you and no success stories to point at, and any pre-launch company that shows you either should raise your eyebrows. App store listings are not live yet; submission preparation is in progress. And until launch day, everything above is a promise rather than a track record. We think the promises are unusually checkable, but a promise is what they are. :::pullquote Until launch day, everything a pre-launch company tells you is a promise rather than a track record. The least it owes you is promises that are checkable. ::: ## How to verify us yourself You should not take a company's word for its own legitimacy, so here is where to look. Delaware's public business registry lists Bloom Dating, Inc. This site, bloom.date, is the company's only official home, and the pricing, policy, and about pages are the canonical versions of every claim in this post. We are @BloomDatingApp on Facebook and X, bloom.datingapp on Instagram, @BloomDating on YouTube and TikTok, and /bloomdating on LinkedIn. If something claiming to be Bloom asks you for money today, it is not us: there is nothing to buy yet. ## Why we wrote this Partly because people genuinely search this question about every dating app, and they deserve a real answer rather than a review-site guess. But also because the answer is a preview of how Bloom intends to operate generally. A dating app asks for more trust than almost any other product on your phone. We think the way you earn that is by being specific, checkable, and early about the things most companies save for the fine print. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today, and the only thing we will ask of you before launch, is to [join the waitlist](/#waitlist) and grow with us. --- # Blog: Engagement metrics vs. relationship outcomes: where dating tech goes next Source: https://www.bloom.date/blog/engagement-metrics-vs-relationship-outcomes Every product optimizes for something. The scoreboard a company stares at every morning quietly becomes the product you end up holding. For a decade, the dating industry's scoreboard has been engagement: sessions, swipes, time in the feed, subscriptions renewed. Not because anyone set out to waste your evenings, but because those were the numbers that moved revenue, and the product followed the numbers. The results of that experiment are now in, and they are public. Shrinking paying users at the biggest apps, a stock collapse at another, regulators and courts picking apart the retention tricks. We laid out the full record in [the dating app giants are shrinking](/blog/dating-app-giants-are-shrinking), so we will not repeat it here. The short version: optimizing for engagement worked brilliantly, right up until the people being engaged noticed that engagement was not what they came for. ## The quiet shift toward outcomes What is more interesting is what is starting to replace it. Around the edges of the industry, a different scoreboard is appearing. Old-fashioned matchmaking is having a genuine revival, and its pricing tells you why. Matchmakers charge for introductions that work, sometimes literally, with success fees tied to a committed relationship. A wave of newer services applies AI to the same idea: fewer candidates, vetted intentions, and a business that gets paid when something comes of it. However different the execution, the underlying bet is identical. They sell an outcome, not a feed. You can argue with the price points, and many of these services cost multiples of a dating app subscription. But the direction is unmistakable, and it is a direct response to the engagement decade. When enough people burn out on products that profit from their searching, someone will eventually sell them the opposite: a product that profits from their finding. :::pullquote When enough people burn out on products that profit from their searching, someone will sell them the opposite: a product that profits from their finding. ::: We think that direction is right, and we are building in it. We also think nearly everyone moving this way is about to stop one step too early. ## The outcome is not the wedding, it is the relationship Here is the blind spot. Every outcome-aligned service on the market today defines the outcome as the match. The introduction that sticks, the exclusive relationship, the engagement. Success is declared, the fee is collected, and the product exits your life at almost exactly the moment the conventional apps do. The finish line moved from "you matched" to "you're together," which is progress, but it is still a finish line drawn at the starting blocks. Ask anyone ten years into a good relationship where the work was, and it was not the introduction. The research is blunt about this: what determines whether couples last is not how well they were matched but how they treat each other afterward, in small, daily, learnable habits. We covered that evidence in [staying together is the hard part](/blog/staying-together-is-the-hard-part) and [bids for connection](/blog/bids-for-connection). A dating product whose involvement ends at commitment has optimized the easy half and left the hard half exactly as unserved as the swiping apps did. So the real question for the next decade of dating tech is not "engagement or outcomes." That argument is settling itself. The question is what counts as the outcome. ## Where Bloom draws the line Bloom's answer is that the outcome is the relationship itself, over its whole life. That single definition explains most of how the product and the business are shaped. It is why Bloom does not end at the match. When two people are together, the app moves with them into Relationship Mode: prompts that keep the small daily exchanges alive, date planning that carries over from your single days, Journeys the two of you move through together. The app that introduced you stays useful precisely because the outcome we care about has not finished happening. It is why our revenue is built to survive your success. A couple in Relationship Mode is a customer we keep by helping, not a churn statistic, and one subscription covers both people. The incentive to keep you searching, the one that bent an entire industry's products out of shape, is simply not present in the model. We walked through the mechanics in [the dating app that makes money when your relationship works](/blog/dating-app-makes-money-when-relationships-work). And it is why the levers other apps pull to convert frustrated singles are free in Bloom. Seeing who liked you: free. Every preference filter: free. Those are the industry's classic paywalls, and they only make sense as paywalls if your business needs people stuck at the searching stage. Ours does not. The full breakdown is on our [pricing page](/pricing). It is also why this can cost less than the outcome-sellers charging matchmaker prices. When the business keeps the couple, the finding does not have to carry the whole revenue model, and intentional dating stops being a luxury good. ## The scoreboard we would put on the wall If the engagement decade taught the industry anything, it is that you get what you measure. Measure swipes and you build a casino. Measure matches and you build a better introduction service that still leaves at the wedding. Measure relationships that are still thriving years later, and you have to build something no dating company has seriously attempted: a product whose usefulness begins at the match instead of ending there. That is the scoreboard Bloom is built against. The dating app that grows with you, from first match to forever, with a business model that only works when yours does. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Why a feed of strangers makes you feel like inventory Source: https://www.bloom.date/blog/why-a-feed-of-strangers-makes-you-feel-like-inventory There is a particular feeling that dating apps produce and almost nothing else in life does. You are browsing faces the way you browse anything else, and somewhere in the back of your mind a quieter thought surfaces: every one of these people is browsing a feed too, and in theirs, you are one of the faces. Not a person yet. An option among options, waiting to be scrolled past. People reach for the same word to describe it, and it is a cold one: inventory. It is worth taking that feeling seriously, because it is not a mood or a bad attitude. It is a predictable response to a specific design, and the research on it is some of the most consistent in the field. ## The jam problem In a famous set of experiments around 2000, psychologists Sheena Iyengar and Mark Lepper set up a grocery-store tasting booth. Some shoppers saw 24 varieties of jam, others saw 6. The big display drew more attention, but the small one sold roughly ten times better. Too many options did not make people happier choosers. It made them walk away. Dating apps are the jam study rebuilt at civilizational scale, except the jars are people and the aisle never ends. What the choice research predicts should happen in that situation is exactly what the dating-specific studies found. ## What the research found when the options are people In a study published in Media Psychology, researchers Francesca D'Angelo and Catalina Toma had online daters pick someone from either a small set of profiles or a large one, 6 versus 24, echoing the jam numbers almost exactly. Right after choosing, everyone felt fine. A week later, the people who had chosen from the large set were measurably less satisfied with their choice and more likely to want to reverse it. Nothing about the chosen person had changed. What changed was the crowd they had been picked from, and the lingering sense that a better option must have been in there somewhere. A second study goes further, and it is the one that explains the inventory feeling from the inside. Psychologists Tila Pronk and Jaap Denissen ran participants through long sequences of real dating profiles and watched what happened to the yes rate as the sequence wore on. It fell, steadily and universally. By the end of a session, the average person's chance of accepting an option had dropped by about 27 percent compared to the start. The researchers named the effect a rejection mindset: the longer you swipe, the more your default answer becomes no, regardless of who is in front of you. Satisfaction with what you were seeing declined, optimism about the whole endeavor declined, and for women the effect went one step further, ending in measurably fewer matches. :::pullquote The longer you swipe, the more your default answer becomes no, regardless of who is actually in front of you. ::: Put the two findings together and the machine comes into focus. An endless feed trains each person to say no more and enjoy their yeses less. Everyone is being evaluated by people who have been conditioned, by volume alone, to reject. You are not imagining that you are being scrolled past by default. Statistically, you are, and so is everyone else. ## Being browsed changes you too The subtler cost is what the format does to the browser, not just the browsed. Evaluating two dozen people in a sitting is only possible at a glance, so the glance becomes the unit of judgment: a photo, an age, a one-line prompt. Do that long enough and it stops feeling like meeting people and starts feeling like sorting them, because mechanically, that is what it is. The people blur. Your own sense of why you are even looking blurs with them. We covered where that exhaustion ends up in our piece on [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating), and the burnout numbers are exactly what the choice research would predict. Here is the part worth sitting with: none of this is an accident of technology. A feed of maximum options exists because, for most dating apps, your browsing is the business. Time in the feed is engagement, engagement is ads and upgrades, and a paywall in front of the people who liked you converts best when the feed has worn you down. The inventory feeling and the revenue model are the same object seen from two sides. We wrote about that alignment problem, and how the industry's own numbers reflect it, in [the dating app giants are shrinking](/blog/dating-app-giants-are-shrinking). ## The fix is design, not discipline The usual advice is to swipe less, be more mindful, take breaks. Fine advice, but it asks you to out-discipline a product built by teams whose job is your continued scrolling. The research points at a more honest fix: change the number of jars on the table. That is the bet Bloom makes. The free plan comes with a set number of likes a day, not as a nudge toward a subscription but because a bounded day of dating is the condition under which people actually choose well. Seeing who liked you is free, so the feed is never bait for a paywall. Every preference filter is free, so you are looking at people who actually fit what you are looking for instead of a maximized crowd. Profiles are built to be read, not glanced at. The point of all of it is the same: fewer faces, considered like people, by someone with attention left to consider them. The deeper reason Bloom can afford that design is that we are not selling your time in a feed. Bloom is the dating app that grows with you, from first match into the relationship itself, and our business does well when you find someone, not while you keep looking. You can read exactly how that works on our [pricing page](/pricing). ## You were never the problem If the apps have left you feeling like a face in someone else's scroll, the research has a consoling footnote: the flatness was manufactured. Take the same people out of the warehouse format and the odds change. You are allowed to want a way of meeting someone that treats both of you as the point, not the product. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Do any dating apps actually help couples stay together after the match? Source: https://www.bloom.date/blog/do-dating-apps-help-couples-stay-together Here is the honest answer up front: almost none of them do. The dating app industry is built around the introduction, and its involvement in your love life ends at roughly the moment your love life actually begins. If you have ever wondered why the app that worked so hard to find you someone has nothing to say once you have found them, you have noticed the industry's oldest blind spot. But "almost none" is not "none," and the landscape is worth mapping honestly. There are a few kinds of apps that touch the after-the-match part of a relationship, and they each stop short in a different way. ## What dating apps do after you match: nothing Start with the category everyone knows. A conventional dating app has one job, matching, and every screen in it points at that job. Once you and someone decide to be exclusive, the product has no next chapter for you. There is no mode for "we found each other." The feed keeps going, because the feed is the product. That is not an oversight. A subscription business built on single people has no reason to invest in the part of your life where you stop being one. We wrote about that incentive in detail in [the dating app that makes money when your relationship works](/blog/dating-app-makes-money-when-relationships-work), and about how it is showing up in the industry's own numbers in [the dating app giants are shrinking](/blog/dating-app-giants-are-shrinking). One of the large incumbents even bought a dedicated relationship app for committed couples, then shut it down two years later and retreated to its core swiping product. The match is where the business ends, so the match is where the product ends. ## Couples apps exist, but they start too late There is a second category: apps built only for people already in relationships. Shared quizzes, conversation prompts, counseling exercises. Some of them are genuinely thoughtful, and the fact that the category exists at all proves the demand is real. Millions of people want help with the staying-together part. The limitation is structural. A couples app knows nothing about how you met, what you liked about each other first, the dates you went on, the small details you noticed early. It starts from a blank page, usually years into the relationship, often once something already feels strained. And it can never help the single version of you at all. You need one app to find the person and a completely different app to keep them, and neither knows the other exists. :::pullquote You need one app to find the person and a different app to keep them, and neither knows the other exists. ::: ## What "helping" would actually look like The research on lasting relationships is unusually clear about what keeps couples together, and we have covered it in depth before: it is small, daily, learnable habits. Decades of work by John Gottman and others point to [bids for connection](/blog/bids-for-connection), the tiny reaches for attention that couples either turn toward or quietly miss, and to the steady maintenance most of us were never taught, which we wrote about in [staying together is the hard part](/blog/staying-together-is-the-hard-part). So an app that genuinely helped after the match would do a few specific things. It would give the two of you a built-in reason to turn toward each other regularly. It would make dates keep happening, because couples who keep dating each other stay closer. It would remember what you learned about each other early, instead of letting it fade. And it would treat the relationship as the point, not as churn. ## How Bloom handles the part that comes after Bloom is built as one continuous product across that whole arc, which is what we mean when we say it is the dating app that grows with you. When two people on Bloom decide they are together, they move into Relationship Mode, a different surface with a different job. Prompts are designed to spark exactly the kind of small, warm exchanges the research says compound over time. Date planning carries over from your single days, because the whole idea is to never stop dating the person you chose. Journeys give the two of you guided activities and conversations to move through together, so growing closer has a structure instead of depending on whoever remembers to plan something. And the context comes with you. The private notes you kept while dating, the small details that are easy to forget, carry into the relationship instead of being lost. The app that helped you find each other is the same app helping you stay close, and it remembers the beginning. Two practical notes. You do not have to meet on Bloom to use this: an existing couple can pair during onboarding and start in Relationship Mode from day one. And one subscription covers both people in Relationship Mode, so there is no couples upgrade and no paying twice. ## Why so few apps even try It is worth asking why the most obvious gap in dating tech has stayed unfilled for a decade. The answer is that helping couples stay together only makes business sense if your revenue survives the match. For most dating apps it does not, so the feature set stops where the subscription risk starts. Bloom's model was designed the other way around: our best outcome and your best outcome are the same one. That is also why the things that help you find someone, like seeing who liked you and every preference filter, are free rather than paywalled. You can read the full breakdown on our [pricing page](/pricing). ## The honest scorecard So, do any dating apps actually help couples stay together after they match? Conventional dating apps do not, by design. Couples apps try, but they start too late and cannot help you meet anyone. Bloom was built specifically to be the answer to this question: one app that spans the whole journey, from first match to forever. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: AI is coming for dating. Here's what it can't replace. Source: https://www.bloom.date/blog/ai-and-the-future-of-dating Two scenes that have both become ordinary. In the first, someone stares at a new match, opens a chatbot in another tab, and asks it to write a clever opening line. In the second, someone has stopped dating people at all, because the most attentive relationship in their life is now with an AI. Both are common, and both arrived fast. AI has moved into dating quicker than into almost any other corner of our lives. It is worth being clear-eyed about what it is actually doing, because the good and the worrying are tangled together. ## AI inside the apps Start with the apps you already use. The major players are racing to add AI to nearly every step. Tinder has built tools to pick your best photos and even an AI you can practice flirting with. Bumble generates bios and replies, and has added a button to report AI-generated images. Hinge runs an AI matching system it credits with producing more matches. The pitch is that AI smooths the awkward parts of dating. Users are taking it up quickly. In Match's 2025 Singles in America study, the share of singles using AI to help with their dating life jumped more than 300 percent in a single year. Around six in ten dating-app users now believe they have read AI-written messages from the people they were talking to. Here is the catch, and it is revealing. In one survey of younger users, about 80 percent were comfortable using AI to polish their own profile, but a majority said they would lose interest in a match the moment they learned that person had used AI. We want the help for ourselves and the authenticity from everyone else. :::pullquote We want the AI help for ourselves and the authenticity from everyone else. That tension is the whole story of AI in dating. ::: That is not really hypocrisy. It is a signal of what people actually want, which is to be met by a real person, not a well-edited proxy of one. ## AI instead of dating The bigger shift is happening one level up, where AI is not helping people date but replacing dating altogether. AI companion apps have exploded. Replika reports around 25 million users. Character.AI has counted more than 20 million monthly users. Across the category, these apps had been downloaded more than 200 million times by the middle of 2025. They are not a fringe curiosity: a 2025 survey found that roughly seven in ten American teenagers have tried an AI companion. And for many people the bond is real. About 70 percent of Replika users say the app makes them feel less lonely, and a majority of its paying subscribers describe being in a romantic relationship with their AI. Against the backdrop of what the U.S. Surgeon General has called an epidemic of loneliness, the appeal is easy to understand. An AI companion never has a bad day, never judges you, and never leaves. It is available at 2 a.m. and it is always interested. That is exactly what makes it worth thinking about carefully. A companion with no needs of its own is not a relationship, it is a mirror that talks back. It asks nothing of you, and a connection that asks nothing of you cannot give you the thing real ones do: the experience of being known, and chosen, by someone who could have chosen otherwise. ## AI as a weapon There is a darker edge too. The same tools that can write one charming message can write ten thousand of them. Romance scams are now a multi-billion-dollar problem. The FBI's complaint center logged well over a billion dollars in reported losses in a single recent year, and AI has made the con far more convincing. Scammers use AI-generated photos and even deepfake video to invent people who do not exist. In one 2024 case, a deepfake romance scheme extracted tens of millions of dollars from its victims. A large share of dating-app users now say they have matched with a profile that turned out to be a bot or a fake. This is the part of the AI story almost everyone agrees is bad, and it quietly raises the bar for any honest dating product. In a world where fake people are cheap to manufacture, proving the person on the other end is real becomes part of the job. ## What AI can't replace Put the three trends together and a line starts to emerge. AI can lower the friction of dating: drafting the message, choosing the photo, surfacing the match, even filtering out the fakes. Some of that is genuinely useful. But there is a point past which lowering the friction starts removing the thing itself. Because the friction is not a flaw in a relationship. The slightly nervous first message, the real photo that is not your best angle, the conversation you have to actually show up for: these are not obstacles on the way to connection. They are the connection. We have written about the research on what makes relationships last, and it comes down to small, repeated, unglamorous acts of paying attention, the [bids for connection](/blog/bids-for-connection) that couples turn toward day after day. You cannot outsource that to a model. The moment you do, there is nothing left worth keeping. ## Where Bloom stands We build Bloom with AI, and we are specific about where it belongs. AI in Bloom is there to help with the logistics of being human together: suggesting a date the two of you might actually enjoy, helping a conversation turn into a real plan. It is clearly labeled, it is opt-in, and it never speaks for you or stands in for a real person. The goal is to give you more time and attention for the human part, not to automate it away. You can read more about how we think about that on our [about page](/about), and about why one founder is building it this way in [why I'm building Bloom](/blog/why-im-building-bloom). AI is going to keep changing how people meet. The real question is whether it gets used to help real people find each other, or to spare us the effort of being real at all. Bloom is a bet on the first one. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: How couples actually meet now Source: https://www.bloom.date/blog/how-couples-meet-now Ask an older couple how they met and you will usually get some version of the same answer: through people they knew. A friend set them up. They worked together. They went to the same church, grew up on the same street, or had siblings who were already dating. For most of human history, other people were the matchmakers. That is no longer how it works. ## The year the lines crossed The clearest picture we have comes from a long-running Stanford study called How Couples Meet and Stay Together, led by the sociologist Michael Rosenfeld. It has tracked, across decades, how American couples actually found each other. The headline finding is striking in its simplicity: for heterosexual couples, meeting online overtook meeting through friends right around 2013, and it never looked back. By 2017, online dating was the single most common way new couples met. Among couples who got together that year, about 39 percent met online, more than met through friends, at work, at school, through family, or anywhere else. Meeting online went from a fringe behavior to the most common path into a relationship in roughly two decades. :::pullquote In a single generation, the way most couples meet flipped from "through someone we knew" to "through an app." That is a fast, near-total reversal of a pattern that held for centuries. ::: ## A fast, near-total reversal It is worth sitting with how quickly this happened. In the mid-1990s, meeting a partner online was close to nonexistent. Nearly every traditional path, through friends, through family, through coworkers, neighbors, and church, has since declined as a share of how couples form, while "met online" climbed past all of them. There is no real historical precedent for a social change this large moving this fast. The data also shows where it is heading. The Pew Research Center has found that among all American adults who are currently partnered, about one in ten met through a dating site or app. That number sounds modest until you remember it includes every long marriage that began decades before the apps existed. Look at younger people and the picture sharpens: about one in five partnered adults under 30 met their person through an app. The younger the couple, the more likely the answer is online. ## To be clear, a lot of this is good None of this is a lament for the good old days. Meeting online broke people out of the small, accidental pool of whoever they happened to know. It made it possible to find someone outside your existing circle, your workplace, or your hometown, which is a real gain, especially for anyone whose friend group was never going to produce the right person. The shift itself is not the problem. What the shift did was raise the stakes on a single question: what is the thing now doing the introducing actually built to do? ## Why this matters more than it sounds For most of history, the people introducing you had a stake in the outcome. A friend who sets you up wants it to go well, for both of you. The new matchmaker has no such stake. It is a piece of software, and as we have written elsewhere, most dating apps are built to keep you swiping rather than to actually get you somewhere. When the main way people meet has become an app, the incentives baked into that app stop being a niche concern and start shaping the romantic lives of a whole generation. That is the part worth caring about. The front door to most new relationships is now a product, designed by a company, optimized for something. The only real question is what it is optimized for. We dug into how those incentives have been going wrong, and the legal and financial reckoning that has followed, in a [separate post](/blog/dating-app-giants-are-shrinking), and into the burnout they produce in our piece on [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). ## A better front door If an app is now where most relationships start, then it matters enormously that the app is built to help you actually find someone, and to keep being useful once you do, rather than to hold you in the feed. That is the bet behind Bloom. It is the dating app that grows with you: a more intentional way to meet, designed to turn a match into a real first date instead of another thread that fades, and then to become a shared space for the relationship that follows. If the data says the apps are now the front door, our goal is simply to be a door that opens. You can read more about how that works on our [about page](/about). Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Why I'm building Bloom Source: https://www.bloom.date/blog/why-im-building-bloom I'm Craig Cossairt, and I'm building a dating app. The strangest part of that sentence, at least to me, is how much of the industry I am building against rather than into. Most dating apps are quietly built to keep you single. Not on purpose, exactly, but because that is what the business model rewards. I could not get past that, and eventually I decided to build the alternative. This is the short version of why, and how. ## The thing I kept getting stuck on When your product is a monthly subscription sold to single people, your best customer is someone who stays single and keeps paying. A match that turns into a relationship and leaves is, on a spreadsheet, a lost subscriber. None of this requires a villain. It is just what the incentives do over time: they pull the whole experience toward keeping you in the feed instead of helping you leave it for a good reason. You can now see the strain of that model in public. The biggest apps are losing paying users, their valuations have fallen hard, and regulators and courts have started asking pointed questions about how they are designed. I wrote about those numbers in a [separate post](/blog/dating-app-giants-are-shrinking), because they are worth seeing in full. But I did not need the earnings reports to feel the problem. Anyone who has spent a few weeks swiping has felt it: the sense that the app is happy to keep you busy, and in no particular hurry to help you succeed. I think that is backwards. The job of a dating app should be to help you find someone and build something that lasts, not to hold you in the queue. ## The bet Bloom is built on So Bloom is built the other way around. It is the dating app that grows with you: a more intentional experience for singles, and then a shared space for the relationship that follows. When you find your person, the app does not go quiet. It changes jobs, from helping you find someone to helping the two of you grow together. That design carries a built-in promise about incentives. Bloom grows when our users' relationships grow, not when they stay single and keep swiping. The features that genuinely help people connect, like preference filters and seeing who liked you, are free, because gating those would put us on the wrong side of the people we are trying to help. I go into the specifics of how we make money, honestly and including the parts that are not free, on our [pricing page](/pricing), and the fuller story of the product lives on our [about page](/about). ## The question I get most: how is one person building this? Here is the part people are usually most curious about. I am a solo founder with more than a decade in product management, and I am not an engineer. I know how to define what to build and who it is for. A few years ago, I could not have shipped a real app on my own. That has changed. I build Bloom with AI as a working partner. The same shift that is reshaping how software gets made is what lets one person design, build, and ship a real product, and hold it to a standard that used to require a whole team. I do not treat AI as a novelty bolted onto a pitch. It is genuinely how the work gets done, day to day, and it is part of how a few of Bloom's features work too. I am deliberate about that last part, because dating is personal and trust is the whole game. Bloom's AI-assisted features are clearly labeled, opt-in, and built to help you, never to speak for you or replace your own voice. The point of the technology is to give you more time and better tools for the human part, not to automate it away. I think a lot about where AI belongs in dating and where it does not, and I would rather under-promise there than over-reach. ## Why this matters to me I am building Bloom because I want the apps people use to find love to actually be on their side. The backdrop makes that feel urgent. The U.S. Surgeon General has described loneliness as an epidemic, with about half of American adults reporting it. People are partnering later than any generation on record and forming relationships more deliberately. I read those trends not as a crisis but as a clear signal: how people build relationships has changed, and the tools meant to help have not kept up. People are dating with real intention, and they deserve tools that want the same thing they do, and that keep being useful after the match instead of going dark. That gap is the opportunity, and it is the reason I am doing this instead of something easier. The alignment between Bloom doing well and our users doing well is the whole idea, and it is the part I am least willing to compromise. ## Where we're starting Bloom is pre-launch, building toward our App Store release and starting in Utah along the Wasatch Front before expanding from there. Right now I am laying the groundwork and gathering the first community of people who want the same thing we do. If any of this resonates, I would genuinely love to have you with us early. [Join the waitlist](/#waitlist) and grow with us. Craig Cossairt Founder, Bloom Dating, Inc. --- # Blog: The dating app giants are shrinking, and the reasons are now public record Source: https://www.bloom.date/blog/dating-app-giants-are-shrinking For a long time, the case against dating apps was a feeling. People said they were burned out, that the apps felt rigged, that something about the whole experience left them lonelier than when they started. It was real, but it was anecdotal. You could not put a number on it. Now you can. Over the past two years the discontent has moved out of group chats and into places that do not exaggerate: quarterly earnings reports, a string of legal settlements, and a class-action complaint. The numbers tell a remarkably consistent story, and it is not a happy one for the companies that defined online dating. ## The giants are losing users Start with Tinder, still the largest dating app in the world. By the end of 2025 it had about 8.8 million paying users, down 8 percent from the year before, and it had been shedding paying users for more than two years straight. Its parent company, Match Group, reported that quarterly direct revenue fell 3 percent, a decline it attributed almost entirely to subscriber loss. Here is the detail that says the most. Even as paying users left, the revenue squeezed from each remaining one went up. Tinder's revenue per payer climbed to about 17.63 dollars, and the same pattern, fewer but higher-spending subscribers, showed up across the wider industry. Fewer customers, each paying more, is not what a healthy, growing product looks like. It is what a business looks like when it leans harder on the people who have not left yet. :::pullquote Fewer customers, each paying more, is not a growth story. It is a business getting more out of the people who have not walked away yet. ::: ## The valuations have collapsed Bumble tells an even starker version. The company went public in 2021 to enormous excitement and a valuation around 8 billion dollars. Its stock has since fallen more than 90 percent from those highs. In 2025 it laid off a large share of its workforce, and earlier that year it shut down two apps it had acquired, including Official, a relationship app for couples it had bought only two years before. The company that built its brand on a better kind of dating spent 2025 retreating to its core swiping product. ## The regulators and the courts have noticed The pressure is not only financial. In under a year, Match Group settled three separate matters with regulators or in court, and the through-line across them is hard to miss. In August 2025, the company agreed to pay 14 million dollars to settle a Federal Trade Commission case that had been running for nearly six years. The FTC alleged that Match advertised a deceptive "six-month guarantee," buried its cancellation process behind confusing steps, and in some cases locked users out of their accounts after billing disputes even when it had already taken their money. As part of the settlement, Match agreed to disclose its terms clearly and make canceling straightforward. In March 2026, Match settled a second FTC matter, this one about privacy. The agency alleged that OkCupid had handed roughly three million user photos, along with location and demographic data, to a facial recognition company back in 2014, contrary to its own privacy policy and without telling users. The settlement came with no fine, because the FTC lacks the authority to impose one for this kind of violation, but it bound the company to years of privacy oversight. Then in 2026, Tinder agreed to a 60.5 million dollar settlement to resolve a class action alleging that it charged users over the age of 30 more than younger users for the same premium features, in violation of California's anti-discrimination law. Roughly 268,000 California users were covered. Tinder denied any wrongdoing. Those are resolved settlements, not just accusations. A further class-action complaint, working its way through the courts since early 2024, goes after the design itself, alleging that Tinder, Hinge, and other Match apps are built with game-like, addictive features engineered to lock users into a "pay-to-play loop" rather than help them meet someone. Match called that suit "ridiculous." Taken together, the pattern is consistent: a run of disputes over whether these products treat the people who pay for them fairly. ## This is the model, not bad luck It would be easy to read all of this as a run of misfortune. It is better understood as the model working exactly as designed, and finally showing the strain. When your product is a monthly subscription sold to single people, your best customer is someone who stays single and keeps paying. A match that turns into a relationship and walks off the app is, on the balance sheet, lost revenue. The incentives point quietly away from the thing users actually want. We pulled that thread in a separate post on [why most dating apps make money when you stay single](/blog/dating-app-makes-money-when-relationships-work). The rising revenue per user, the dark patterns the FTC fined, the addictive design the lawsuit describes: these are all what that one incentive looks like under pressure. It is worth being precise about who is hurting. The user-side exhaustion has been measured too, and we covered the burnout surveys in our piece on [swipe fatigue](/blog/swipe-fatigue-the-case-for-slower-dating). What is new here is that the same story now shows up on the business side, in the audited numbers. When users are tired and the financials are slipping in the same direction, that is not a coincidence. It is cause and effect. ## The exception that proves the rule Not every app is shrinking, and the exception is the most revealing part. Even as Tinder lost paying users, Hinge, which markets itself as the app "designed to be deleted" and leans toward people who want real relationships, kept growing. The healthy part of the market is the part built around intention rather than endless swiping. People are not abandoning dating apps because they have given up on finding someone. They are leaving the apps that treat them like inventory. That is the gap. The old model optimized for time on the app and monthly renewals, and it is aging badly in public. The opportunity is a different bet entirely: fewer, more considered matches, and a business that succeeds when its users do. That bet is the whole reason Bloom exists. Bloom is the dating app that grows with you, built so that we do well when our users' relationships do, not when they stay single and keep swiping. You can read more about how we make money on our [pricing page](/pricing). Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: Bids for connection: the small habit that keeps relationships together Source: https://www.bloom.date/blog/bids-for-connection Someone you love looks up from their phone and says, "huh, look at this." It is nothing. A photo, a headline, a bird on the fence. What you do in the next two seconds is, according to one of the most-cited bodies of relationship research, one of the truest signals of whether the two of you will last. ## What a bid actually is The psychologist John Gottman has spent decades studying couples in a University of Washington lab nicknamed the Love Lab, watching ordinary people talk, argue, and pass the time. Out of all that footage, the thing he kept returning to was not the big fights or the grand gestures. It was the small stuff. He gave the small stuff a name: a bid for connection. A bid is any small attempt to get attention, affection, or a moment of shared experience. "Look at this." "Rough day." A hand on a shoulder. A joke that is hoping for a laugh. Gottman calls it the fundamental unit of emotional connection, the smallest building block a relationship is made of. Most bids are tiny, and most are easy to miss, which is exactly why they matter. We mentioned bids in passing in an earlier post on [why staying together is the hard part](/blog/staying-together-is-the-hard-part). They deserve their own. ## Three ways to answer Every bid gets one of three responses, and Gottman's vocabulary for them is worth learning, because once you can name them you start seeing them everywhere. You can **turn toward** the bid. You look up, you engage, you give the small thing the small attention it asked for. "Oh wow, where is that?" You can **turn away** from it. Not out of cruelty, usually just distraction. You stay on your phone. You answer "mm-hm" without looking up. The bid evaporates. You can **turn against** it. You snap. "Can't you see I'm busy?" This is the rarest of the three, and the one people tend to worry about most. It is not actually the most corrosive. The quiet killer is turning away. A snap at least registers as contact. Turning away, over and over, slowly teaches the other person that their small reaches do not land, and so, just as slowly, they stop reaching. ## The number that should get your attention Gottman put real figures to this. In one study, he and his colleagues observed newlyweds in the lab and then followed up six years later. The couples who were still together had turned toward each other's bids about 86 percent of the time in those early observations. The couples who had divorced had turned toward only 33 percent of the time. The journalist Emily Esfahani Smith brought the research to a wide audience in a 2014 Atlantic essay, "Masters of Love," and the finding has stuck around because it is genuinely startling: a habit you could measure in a single quiet afternoon predicted the relationship's fate years out. Gottman has a name for these little forks, too. He calls them sliding door moments, after the film, because each one is a small doorway you either step through together or do not. No single one decides anything. Thousands of them, added up, decide almost everything. It is the same lesson as his better-known "magic ratio," the finding that lasting couples keep positive moments far ahead of negative ones day to day. Bids are where that ratio is actually built, one two-second answer at a time. :::pullquote A relationship rarely ends in a single argument. It ends in a thousand small reaches that no one answered. ::: ## Why bids are so easy to miss If turning toward is this powerful and this simple, why does anyone ever turn away? Because bids are quiet and life is loud. Most bids do not announce themselves. They are not "we need to talk." They are a sigh, a half-sentence, a screenshot held up across the couch. They are easy to read as background noise. And the most reliable bid-killer ever invented is sitting in your hand right now. A phone offers you somewhere more interesting to look every single time someone reaches for you. The reach is small and human; the feed is large and engineered. It is an unfair fight. None of this makes you cold or careless. It just makes you a busy, distracted, normal person. Which is the hopeful part, because the fix is just as ordinary. ## Getting better at it Bids are one of the few relationship skills that improve quickly with attention, precisely because the unit is so small. - **Notice the reach.** Half the work is just hearing that "look at this" is not really about the bird. It is a small request that means *be here with me for a second.* Once you hear it that way, you cannot un-hear it. - **Turn toward the small ones.** You do not have to drop everything. You have to look up. A three-second answer to a trivial bid often matters more than an hour of scheduled "quality time," because it is the trivial ones that prove you are paying attention when nothing is at stake. - **Repair the ones you miss.** You will miss bids. Everyone does. "Sorry, say that again, I was in my email" is itself a turn toward. The couples Gottman calls masters were not flawless. They just came back. - **Make your own bids, out loud.** Connection is not only about answering. Reach, too. Send the photo. Say the half-formed thought. A relationship where both people keep reaching is a hard one to kill. ## Where this meets the apps Here is the part the dating industry has almost entirely ignored. Nearly every app is built to manufacture the match and then go quiet. None of them help with the part the research says actually keeps people together: the daily, unglamorous practice of turning toward each other. That gap is most of why we built Bloom the way we did. Bloom is the dating app that grows with you, and when two people are together it opens into Relationship Mode, a shared space built around exactly this science. Its prompts are, in plain terms, engineered bids: small, well-timed reasons to turn toward each other on a day that would otherwise slide past unnoticed. Its shared planning exists so the turning-toward keeps happening long after the early spark settles into ordinary life. You can read more about that thinking on our [about page](/about). A prompt cannot make you love someone. Nothing can. But it can set a small doorway in front of the two of you on a regular Tuesday, and make it a little more likely you walk through it together. ## The smallest unit of staying together Lasting relationships are not held up by anniversaries and airport reunions. They are held up by the answer to "look at this," repeated ten thousand times. That is a humbling idea and also a freeing one, because it means the most important relationship skill is also the most available one. You can practice it tonight. Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is [join the waitlist](/#waitlist) and grow with us. --- # Blog: A field guide to dating in Utah Source: https://www.bloom.date/blog/field-guide-to-dating-in-utah Dating in Utah is different, and most people feel it before they can name it. It is less anonymous and less casual than dating in a lot of other places. You are more likely to run into a match at the grocery store, more likely to know someone who knows them, and more likely to be dating with the next few years in mind rather than the next few hours. Dating here is still attached to a life, not just a feed. Some of that is cultural. Utah has the highest concentration of members of The Church of Jesus Christ of Latter-day Saints in the country, and roughly half of Utahns identify as members. That shapes a dating culture that tends to start earlier and lean toward the long term more than the national norm. You do not have to be a member to feel the gravity of it. It is simply part of the context here, the way the mountains are part of the context. The upside is real. When dating is attached to a life, the question stops being "how do I get more matches" and starts being "what do I actually want to do with someone." That is a better question, and Utah happens to be a great place to answer it. Here is a field guide, organized by the kind of date rather than the place, because the kind of date is usually what you decide first. ## The walk that ends at coffee The most underrated first date in Utah is a walk through a good neighborhood that ends at a coffee shop, or a dirty soda counter, which is about as Utah as it gets. It is low pressure, it is nearly free, and it gives you something to do with your hands and eyes while you talk. If it is going well, you linger. If it is not, it was an hour, not an evening. Salt Lake City is full of these loops. The 9th and 9th neighborhood is compact, walkable, and dense with cafes and small shops. Sugar House has the same energy with a little more room to wander. In Ogden, Historic 25th Street runs a few blocks of independent restaurants and coffee from the old train station up toward the mountains. In Provo, the downtown Center Street stretch does the job. Pick a neighborhood, park once, and walk. ## A trailhead, not a bar Utah's real advantage is that a good hike is never far, and a short one makes a far better second date than another round of drinks. You are outside, you are moving, and a view gives you both something to react to. In Salt Lake City, Ensign Peak is the classic: a short climb just above the Capitol that opens onto the whole valley and the Great Salt Lake. The Living Room, in the foothills above the university, rewards you with its stone "chairs" and a sunset over the city. The Bonneville Shoreline Trail threads along the benches if you want something flatter and longer. Down in Provo Canyon, the hike to Stewart Falls and the trail to Bridal Veil Falls are both worth the drive, and the "Y" hike above Provo is a steep, honest little workout with a payoff at the top. Keep the first one short. The point is the conversation, not the summit. ## Make something, or fail at it, together There is a specific kind of magic in a date where you both have to learn something on the spot. A pottery studio, a painting class, a climbing gym, a cooking class: anywhere that hands you a small thing to make or fail at together. You get to see how the other person handles being a beginner, which tells you more than an hour of polished conversation ever will. [The Wasatch Front](/utah) has all of these within a short drive, and the format travels well from city to city. The activity matters less than the dynamic. You find out whether your date laughs along with you when the bowl collapses, or turns it into a friendly contest over who makes the best masterpiece. Either one tells you something worth knowing. ## The drive By the third date, a drive beats another bar, and Utah makes this easy, because something beautiful is roughly forty minutes in any direction. A drive up Provo Canyon to Sundance Mountain Resort, with dinner and the mountain right there, is a long-standing Utah favorite. In the fall, the Alpine Loop between American Fork Canyon and Provo Canyon turns gold and is worth the slow drive for the leaves alone. For something quieter and a little stranger, the causeway out to Antelope Island puts you on the Great Salt Lake at sunset with bison in the foreground. None of it needs a reservation, and all of it gives you hours of low-stakes time side by side, which is where people actually open up. ## When it snows Utah dating has a winter mode that most places do not. The Cottonwood Canyons, home to Alta, Snowbird, Brighton, and Solitude, plus the resorts up in Park City, put world-class snow within an hour of the city, and a half day on the slopes is a great way to spend real, unhurried time with someone. If skiing feels like a lot for an early date, the low-stakes version is an outdoor ice rink. The seasonal rink at the Gallivan Center downtown comes with cold hands, hot chocolate, and a built-in excuse to hold on to each other. ## Catch a game Utah's pro sports scene has grown up fast, and a game makes one of the easiest dates going: built-in conversation, a team to root for together, and no pressure to fill every silence. Downtown, the Delta Center hosts both the Jazz and the NHL's newest team, the Utah Mammoth, so something is on most winter nights. In Sandy, Real Salt Lake and the Utah Royals share America First Field for soccer under the mountains. In summer, the Salt Lake Bees play in their new Daybreak ballpark, where cheap tickets and a warm evening make for an easy night out. For a quieter night, head north: the Ogden Raptors play independent-league baseball at Lindquist Field, one of the most beloved small ballparks in the state. If you want to dig past the marquee teams, Utah has plenty more. The Salt Lake City Stars are the Jazz's G League affiliate (real NBA-caliber play, much cheaper tickets). The Real Monarchs are RSL's MLS NEXT Pro side, over in Herriman. LOVB Salt Lake plays pro women's volleyball, the Utah Talons are the reigning AUSL softball champions, the Utah Archers play top-flight lacrosse, the Salt Lake Shred play pro ultimate frisbee, and the new Utah Great 8's bring arena football to the Maverik Center. With a real push on to land an MLB team, the scene is only getting bigger. ## Salt Lake on a budget Good dating here does not require money, and pretending otherwise is a mistake. Red Butte Garden, up by the university, is a beautiful, slow afternoon. Liberty Park is the city's backyard. On summer Saturdays, the Downtown Farmers Market at Pioneer Park is a free, easy morning date with food, music, and every excuse to walk and graze. In spring, the Tulip Festival at Ashton Gardens in Lehi is worth the ticket once a season. And do not sleep on the thrift loop. Give yourselves a small budget and one rule: each person picks one thing for the other to try on. It is cheap, it is funny, and you learn a surprising amount about each other's taste and willingness to look a little silly. Utah's secondhand scene, especially along the State Street corridor, is built for exactly this. ## Off-season is the secret The best-kept secret in Utah dating is timing. The places everyone associates with crowds and money are completely different, and far more romantic, in the off-season. Park City's Main Street in late spring or early fall is calm, walkable, and basically yours, without the festival prices. Ogden's 25th Street has the same charm year round and a fraction of the tourists. The canyons in shoulder season, after the snow and before the summer rush, are quiet in the best possible way. Park City off-season, Salt Lake on a budget, Provo on a Sunday: the unglamorous timing is usually the better date. ## Let Bloom plan it All of this is easier when the app is on your side. Bloom is built around the idea that the goal is a real date with a real person, not an endless feed, so date planning is part of the product instead of an afterthought. Bloom offers curated date ideas grouped by category, the same way this guide is, so you choose the kind of date first. With Bloom Premium, those suggestions get personalized to you and the person you are seeing, and you can attach a real local venue to a plan and send it over. ## Before we launch Bloom is pre-launch, starting right here in Utah along the Wasatch Front. If you want to learn more about why we chose Utah and what intentional dating looks like here, read more about [dating in Utah](/utah), or [why we are building Bloom](/about). Then [join the waitlist](/#waitlist) and grow with us. Dating here is already pointed at something real. We are building the app to match. --- # Blog: The dating app that makes money when your relationship works, not when you stay single Source: https://www.bloom.date/blog/dating-app-makes-money-when-relationships-work There is an uncomfortable fact at the center of the dating app business. Most of these apps make money from the time you spend looking, not from whether you ever find someone. A subscription renews every month you are still searching. A match that turns into a relationship and walks off the app is, on a spreadsheet, lost revenue. That is not a conspiracy. It is just what happens when a company sells a monthly subscription to single people. The incentives quietly point away from the thing you actually want, which is to stop needing the app. Bloom is built the other way around. We want to be honest about what that means, because "aligned incentives" is easy to say and easy to fake. So here is the specific version of the claim, including the parts that are not free. ## The incentive most apps would rather not say out loud When your product is a monthly subscription for single people, your best customer is someone who stays single and keeps paying. Every renewed month is revenue. A successful relationship is churn. You can see the strain in the public numbers, and you can see the response. Tinder's paying users have fallen year over year for two straight years, down to roughly 8.8 million by the end of 2025. Match Group, Tinder's parent company, has cut staff as paid users slip. Bumble shut down Official, a couples app it had acquired, in early 2025 to refocus on its core swiping product. Here is the part that should give you pause. Even as the number of paying users falls, the revenue squeezed from each remaining one keeps going up. Tinder's revenue per paying user climbed to about 17.63 dollars by the end of 2025, rising year over year even as the user base shrank. Fewer customers, each paying more. When growth gets hard, the model does not get gentler. It leans harder on the people who are still there: more paywalls, more friction, more reasons to keep the subscription running one more month. ## Regulators have started to notice In 2025, Match Group agreed to pay 14 million dollars to settle Federal Trade Commission allegations that its apps used manipulative design and made subscriptions unnecessarily hard to cancel. The settlement requires clearer terms and a simple way to cancel. Fourteen million dollars is a rounding error for a company that size. What matters is the signal. When a business rewards keeping people subscribed rather than helping them succeed, the product slowly drifts toward friction, and eventually someone outside the company notices. ## What we charge for, and what we never will Here is the part most "ethical dating app" pitches skip: Bloom is not entirely free, and we are not going to pretend it is. What stays free is everything that helps you actually find someone. On Bloom, seeing who liked you is free. Every preference filter is free, including the ones other apps lock behind a subscription. Those two levers, hiding your likes and charging for your preferences, are the dating industry's classic conversion tricks, and they work precisely because they make the free product worse at its real job. We will not do that to the people we are trying to help. What we charge for is different in kind. Bloom Premium unlocks the AI-assisted features that cost us real money to run and give you a real payoff: personalized date ideas, AI help for the everyday work of a relationship, and more. It also lifts daily limits and removes ads. In short, we charge for the things that cost us something to provide and hand you something back, not for the basic act of meeting people. Premium starts at 10 dollars a month on the annual plan, up to 14.99 a month if you pay month to month. ## We grow when your relationship grows The real difference is what happens after you match. Most dating apps are, to borrow Hinge's well-known phrase, designed to be deleted. Bloom is designed to be kept. As far as we know, it is the only relationship platform that spans the entire journey, from first match to forever: an intentional way to meet someone, and then a shared space for the committed relationship that follows. When two people decide to be together, they can move into Relationship Mode, which is built for the relationship itself: shared planning, prompts that keep you close, and tools for the ongoing work of staying together. That one design choice flips the incentive completely. A couple that stays together and keeps using Relationship Mode is not a churned customer. It is a continued relationship with Bloom. We do better when your relationship lasts, because that is exactly when you keep us around. And you do not have to start single. If you are already with your person, the two of you can join and pair with each other during onboarding, and begin in Relationship Mode together from day one. Bloom is not only a way to find a relationship; it is a place to keep growing the one you are in. Most dating apps have no couples surface at all, so a successful match ends your relationship with the app. The few apps built for couples cannot help you meet anyone in the first place. Bloom does both halves and bridges the gap. One detail follows directly from this: in Relationship Mode, one subscription covers both people. There is no "couples upgrade" that bills you twice the moment you find each other. The same Premium one of you might already pay for covers the two of you once you are together. ## Priced to be kept Because we do not need to wring the maximum possible monthly revenue out of single people to survive, we do not price like we do. Bloom Premium costs $14.99 a month. Pay for a year at once, $119.99, and it comes to $10.00 a month. We are not putting other apps' prices next to ours: they change by plan, tier and person, and the companies do not publish them, so we would be guessing. Pricing can change over time, and we will be upfront when it does. The durable promise is the shape of it: the features that help you find someone stay free, the price stays honest, and one subscription covers a couple. You can read the full breakdown on our [pricing page](/pricing). ## Why we are saying all this before we have launched Bloom is pre-launch. We are starting in Utah, along the Wasatch Front, and the only thing you can do today is join the waitlist. We are telling you now, before there is anything to buy, because the business model is not a marketing layer we add later. It is the reason the product is shaped the way it is. If you are tired of apps that seem to do better the longer you stay single, that is not your imagination. It is the model. We built Bloom to grow the other way: with you, and with the relationship that follows. [Join the waitlist](/#waitlist) and grow with us. --- # Blog: Is it okay to keep a dating app on your phone when you're in a relationship? Source: https://www.bloom.date/blog/keep-a-dating-app-when-in-a-relationship It is one of those small moments that can put a knot in your stomach. You glance at the phone of the person you are committed to, and there is a dating app sitting on the home screen. The instinct is immediate, and usually fair: why is that still here? We want to answer that honestly, because Bloom is a dating app that is also meant to stay on your phone after you are together. That sounds like a contradiction. It is not, and the reason why is the whole idea behind Bloom. ## Why a dating app is normally a red flag A normal dating app has exactly one job: introduce you to new people. It is a matching surface, a feed of strangers, built to keep you swiping. When someone in a committed relationship keeps that kind of app around, the worry is reasonable. The app has no setting for "I found someone." Its entire design assumes you are still looking. So the red flag is not really about the icon on the screen. It is about what that kind of app is for. A matching machine on a committed person's phone is a tool pointed away from the relationship. ## Bloom is built to point the other way Bloom is the dating app that grows with you. It helps single people meet intentionally, and then it becomes a shared space for the committed relationship that follows. Those are two different jobs, and Bloom is designed to do both. When two people decide to be together, they move into Relationship Mode. This is not a swiping feed with the matching dialed down. It is a different surface entirely, built for the relationship itself: shared planning, prompts that keep the two of you connected, and tools for the ongoing work of staying close. The app's job changes from "find someone" to "grow what you have." And a lot of what you loved as a single does not vanish when you become official. The whole idea is to never stop dating the person you chose, so the date-planning tools you used to set up first dates come with you into the relationship. The private notes you kept about them, the small details that are easy to forget, carry over too. The relationship picks up where the dating left off, instead of starting from a blank page. ## Designed to be kept Most dating apps, in Hinge's well-known phrase, are designed to be deleted. The moment they succeed, you are supposed to leave. Bloom is designed to be kept, because the second half of its job only begins after you have found each other. That flips the red flag into a green one. Bloom on the phone of someone you are committed to is not a feed of strangers they forgot to delete. Once the two of you have paired inside the app, it is the shared calendar, the prompts you answer together, the running story of your relationship. It is a tool you both use, in the open, together. ## You do not have to start single Here is the part people miss. You do not have to meet on Bloom to use Bloom. If you are already with your person, the two of you can join and pair with each other during onboarding, and start in Relationship Mode from day one. You are not signing up for a dating app and awkwardly skipping the dating. You are opening a shared space for the relationship you already have. And because one subscription covers both people in Relationship Mode, there is no "couples upgrade" and no paying twice. ## Trust by design, not by surveillance None of this works if it feels like monitoring. Relationship Mode is not a tracking tool, and Bloom is not in the business of helping anyone police anyone else. The point is simpler and warmer than that. When the app on your phone is a place the two of you build something together, rather than a private feed of other options, the question "why is that still here?" answers itself. That is what we mean by fidelity by design. Not a lock, but a shape. An app whose entire job, once you are together, is the relationship in front of you. ## The honest version We are pre-launch, so today the only thing you can do is join the waitlist. We are starting in Utah, along the Wasatch Front. When we open, Bloom will be a dating app worth keeping, not because we trapped you in a subscription, but because the part that matters most starts after you match. You can read more about why we built Bloom this way on our [about page](/about). So, is it okay to keep a dating app on your phone when you are in a relationship? If it is a matching machine, the instinct to ask is fair. If it is Bloom, in Relationship Mode, the honest answer is yes. That is exactly what it is for. [Join the waitlist](/#waitlist) and grow with us. --- # Blog: Staying together is the hard part most dating apps ignore Source: https://www.bloom.date/blog/staying-together-is-the-hard-part Every dating app is obsessed with the match. The swipe, the algorithm, the introduction. But the research on what actually makes relationships last says the match is the easy part. The hard part starts after. ## What the research actually says Psychologist John Gottman spent decades studying couples in his research lab, and he was able to predict whether a marriage would last with around 90 percent accuracy. What he watched for was not grand romantic gestures. It was small, ordinary moments. Gottman calls them bids for connection. A bid is any small reach for attention or warmth: "look at this," "rough day," a hand on a shoulder. In any moment, you can turn toward that bid, turn away from it, or turn against it. Couples who stay together turn toward each other's small bids, over and over, until it becomes the texture of the relationship. He also found a ratio. In stable, happy relationships, positive interactions outnumber negative ones by about five to one during conflict, and roughly twenty to one in everyday life. Couples heading for trouble drift toward one to one. Staying together, in other words, is built out of a thousand tiny moments, not a few big ones. What makes this hopeful is that none of it requires being a naturally gifted romantic. Turning toward a small bid is simple and learnable. Do it often enough and it compounds, the way that five-to-one ratio implies, into something that looks from the outside like effortless closeness but is really just a habit, practiced daily. The flip side is the warning: closeness is not something you win once at the match and keep forever. It is maintained, or it quietly erodes. :::pullquote Closeness is not something you win once at the match and keep forever. It is maintained, or it quietly erodes. ::: ## How people form relationships has changed The way people pair up has shifted, too. Americans are marrying later than at any point on record, at a median age of about 30 for men and 28 for women. The country's birthrate has settled near 1.6 children per woman, a historic low. These are simply the facts of how relationships and families are forming now: later, more deliberately, and on each person's own timeline. That is not a cause for alarm. It is a description of the people dating apps actually serve. Many of them are looking for something lasting, on a slower clock, and they want tools that respect that. The apps mostly have not kept up. ## Where the apps stop Here is the gap. Almost every dating app's job ends at the introduction. Once you match, you are on your own. There is no support for the bids, the rituals, the turning-toward that the research says actually keeps people together. The product was built to make a match and move on to the next subscriber. That is a strange place to stop, given that the match is the part people find easiest and staying together is the part they find hardest. ## What a relationship platform does instead Bloom is built to keep going. It is the dating app that grows with you, a relationship platform that spans the whole journey, from first match to forever. When two people are together, Relationship Mode gives them tools aimed squarely at the daily work the research points to: shared planning so dates actually happen, and prompts designed to spark exactly the kind of small, warm exchanges Gottman calls bids for connection. A good prompt is a built-in reason to turn toward each other. That is not a gimmick. It is the science of lasting relationships, put into the product. It also includes Journeys, guided sets of activities and conversations the two of you move through together, so growing closer has a structure instead of depending on whoever happens to remember to plan something. The point is to make the small habits easy and recurring, because those are the habits the research says actually hold relationships together. And you do not have to start single to use it. If you are already with your person, the two of you can pair during onboarding and begin in Relationship Mode together. One subscription covers both people. ## The part most apps skip Matching is the easy part. We built Bloom for the hard part, the staying, because that is where relationships are actually won or lost, and it is the part the rest of the industry leaves you to figure out alone. You can read more about why we built Bloom this way on our [about page](/about). Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is join the waitlist. [Join the waitlist](/#waitlist) and grow with us. --- # Blog: Swipe fatigue is real: the case for slower, more intentional dating Source: https://www.bloom.date/blog/swipe-fatigue-the-case-for-slower-dating If you have ever closed a dating app feeling more drained than when you opened it, you are not imagining things, and you are very much not alone. The exhaustion has a name now, swipe fatigue, and it has become one of the most common reasons people quit the apps entirely. ## The burnout is real, and it is measured In a Forbes Health survey, 78 percent of dating app users said they had felt burned out by the apps. The single biggest reason, named by about 40 percent of people, was simply the inability to find a genuine connection after all that effort. The rest of the list reads like a diagnosis of the format itself: getting rejected (27 percent), the same repetitive conversations across many matches at once (24 percent), the endless swiping (22 percent), and the sheer hours it eats up (21 percent). The mechanics of the app are the thing wearing people out. The apps know. In 2026, Bumble announced it is getting rid of the swipe altogether. When the company that helped make the gesture famous starts backing away from it, that is the industry quietly admitting the core mechanic is broken. ## The backdrop is loneliness This is happening against a hard backdrop. In 2023, the U.S. Surgeon General issued an advisory describing an epidemic of loneliness and isolation. About half of American adults report experiencing loneliness, and the health toll of that isolation is estimated to rival smoking around 15 cigarettes a day. There is a cruel irony in that. The tools we built to help people connect often leave them feeling more alone. A feed of faces you will never message, and who will never message you, is not connection. It is a slot machine that occasionally pays out in conversation. ## Why swiping burns you out The swipe model treats people as inventory. It is tuned to keep you scrolling, because for most apps, time on the app is the product. The longer you browse, the more ads you see and the more paywalls you bump into. Finding someone quickly is, oddly, bad for business. We wrote about that incentive in detail on our [pricing page](/pricing). So the design pushes volume over fit. You evaluate dozens of people in minutes from a few photos, your brain treating each one as a tiny yes-or-no transaction. Do that long enough and everyone starts to blur, including you. ## What intentional dating looks like Intentional dating is the opposite bet. Fewer people, considered more carefully. Profiles you actually read. Matches you choose because something specific stood out, not because your thumb was on autopilot. It is slower on purpose. Bloom's free plan gives you a set number of likes a day instead of an infinite scroll, not to nudge you toward a subscription, but because a daily limit encourages you to spend your attention on people you might genuinely click with. Seeing who liked you is free. Every preference filter is free. The basics of finding someone are never the paywall. The goal is not to maximize matches. It is to find one relationship worth keeping. ## Slower is not the same as lonelier It is fair to worry that fewer matches means fewer chances. But burnout does not come from too few matches. It comes from churning through people who were never a fit, getting little back, and doing it for hours. Spending that same energy on a handful of people you actually considered is not a smaller dating life. It is a better-aimed one. Intentional does not mean passive, and it does not mean waiting around. It means pointing your attention at the people most likely to matter, and protecting it from everything that does not. ## Built to be kept That is the thread running through everything we make. Most dating apps are designed to be deleted the moment they work. Bloom is designed to be kept, because it is a relationship platform that spans the whole journey, from first match to forever. The reason to slow down at the start is that there is a second half: the relationship itself, and the app grows with you into it. Swipe fatigue is not a personal failing. It is the predictable result of a model built to keep you swiping. You are allowed to want something slower. ## Before we launch Bloom is pre-launch, starting in Utah along the Wasatch Front. The only thing to do today is join the waitlist. If endless swiping has worn you out, that is exactly the feeling we built Bloom to fix. [Join the waitlist](/#waitlist) and grow with us.