More options, worse choices: what choice overload does to 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 is a cognitive finding, not a verdict on anyone's taste. The person who keeps opening one more profile is doing what a large list invites. The cost shows up in the choice, not in a mood.

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 in CyberPsychology & Behavior (volume 12, pages 315 to 318). PubMed: 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.

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. Hold that limit. The useful part still stands: 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 in Cyberpsychology, Behavior, and Social Networking (volume 13, pages 207 to 210). PubMed: 20528280. A PDF of the paper 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.

Read those means as a lab score, not as a law about your next date. The sample is young, the task is a ranked list on a Taiwanese dating site, and "quality" is still checklist fit. What the interaction adds is narrower and still worth having: the people most determined to find the best were the ones the long list hurt more.

If you are the person who keeps opening one more profile, that is a load problem. It is not evidence that you are greedy, or that you should want less.

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 in Biology Letters (volume 7, pages 528 to 531). PMC: PMC3130243. PubMed: 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.

They are careful about what "quality" means. Consensus (picking the person most other choosers picked) is a proxy borrowed from work on non-human mate choice. It is not a test of whether you found the right person for you. The event-level design also cannot randomly assign you a more or less varied room. Treat it as a real-world pattern that matches the lab story, not as a controlled proof.

A year earlier, the same authors used those same 84 events in How humans cognitively manage an abundance of mate options 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. 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. You can feel processed in a feed and still, separately, search past the point where your own preferences are doing the work. Adjacent problems. Different measurements.

What this does not show

Wu and Chiou randomly assigned list length, which is the strongest design of the set, and they still did not follow anyone into a relationship. Yang and Chiou's maximizer split is a median split on a self-report scale, in a sample that includes 15-year-olds. Do not import that sample into a story about adult dating apps without naming it.

Lenton's speed-daters made real yes-or-no decisions after real three-minute conversations. They were not assigned to a high-variety or low-variety night. "Fewer proposals" is not the same as "happier later," and "nobody" can be the right answer on a given evening.

Checklist fit is a thin stand-in for whether you will like someone. A person can mismatch half the boxes you typed and still be the one you want to see again. These papers measured decision process and immediate choice, not months of a relationship.

The effects are tendencies. A longer list did not ruin every choice. A more varied room did not freeze every chooser. If you have ever picked well from a large set, nothing here contradicts you. It says the set is working against you, on average, 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 more honest move is closer to what the studies actually varied. Stop when you have a short set you can compare. Write the few things that would actually end it, then let the rest of the person show up in person. A "good enough" stop-rule is not a lowering of standards. In the 2010 study it is the strategy that took less damage from the long list.

Variety is the part people miss. A set of 24 similar-enough people is already a lot to hold in mind. A set of 24 people who differ on every axis at once is a different task, and Lenton's events say that task produces fewer yeses and more empty scorecards. If a product shows you a maximally mixed crowd, it is not doing you a favor on decision quality.

A thinner dating market is usually sold as a problem. If the thing you are trying to do is choose well, lower density can be a feature. Along the Wasatch Front you will not get a coastal-sized feed, and the research above is one reason not to want one. Bloom is built to show you fewer people, on purpose.

The extra names were never the missing ingredient

Wanting a larger pool feels like diligence. In these studies it behaved like load.

The person you are trying to pick well is not hiding behind profile 81. They are easier to see when the list is short enough that your own preferences still have somewhere to stand.