Relationship science Β· 15 min read
What actually makes relationships last - and why we keep choosing with the wrong instincts
Most of us pick partners on chemistry and a mental checklist. Decades of research - including one study of more than 11,000 couples - suggest neither is where the answers are. Here's what the evidence actually says, with the numbers.
The short version
- β’ Chemistry is real, and it's instinct. Early romantic love runs on the brain's reward system - which is why it feels like certainty when it's actually desire.
- β’ Checklists and personality matching barely predict anything. Couple similarity in personality explained less than 0.5% of satisfaction in 23,000+ married people.
- β’ What predicts quality is how the relationship feels from inside: trusting your partner's commitment, feeling appreciated, sexual satisfaction, believing they're happy, and low conflict - up to ~45% of current satisfaction.
- β’ How you fight - and how warm you are when you're not fighting - predicts whether you last.
- β’ Swipe apps create options, not partners. Judging in seconds on photos, with endless choice, makes people more rejecting - not better at choosing.
- β’ So: use chemistry to start, but judge on behaviour. Filter for values and life goals, then watch how it actually goes.
1. Why we lead with emotion (and why that's not stupid)
Leading with feeling isn't a modern failing - it's biology. When researchers scanned the brains of people who were intensely in love, looking at a photo of their partner activated dopamine-rich regions of the brain's reward and motivation system, the same circuitry involved in wanting and pursuit[6]. Early-stage love behaves less like a judgement and more like a drive.
It even looks a little like obsession. In one study, people who had fallen in love within the previous six months showed the same reduced density of a serotonin transporter as unmedicated patients with obsessive-compulsive disorder - both significantly lower than controls[7]. That βI can't stop thinking about themβ feeling is not a metaphor.
And instinct has real benefits. Seeing a partner a little more generously than they see themselves - what researchers call positive illusions - is linked to greater satisfaction in close relationships[8]. Romantic bonds also behave like attachment bonds, the same system that bonds infants to caregivers [9]. Emotion is how humans bond.
2. What we screen for - and why it doesn't predict much
Modern dating adds a second instinct on top of chemistry: the checklist. Height, job, personality type, hobbies, βmust love travelβ. It feels rational. The evidence says it mostly isn't measuring what matters.
Chemistry can't be predicted from a profile
In two speed-dating studies, single people answered more than 100 questions about their traits and preferences - the kind of information dating apps collect - then went on four-minute dates with each other. Machine-learning models could partly predict who tends to desire people in general, and who tends to be desired. But they could not predict who would be attracted to whom, using any combination of the 100+ measures [2].
How much of romantic desire can traits & preferences predict?
Two speed-dating studies, 100+ self-report measures per person, random-forest models.
- How much someone desires people in general4-18%
- How much someone is desired by others7-27%
- Desire for one specific person (compatibility)Not predictable
% of variance in romantic desire explained
Show as table
| Measure | Reported figure |
|---|---|
| How much someone desires people in general (actor variance) | 4-18% |
| How much someone is desired by others (partner variance) | 7-27% |
| Desire for one specific person (compatibility) (relationship variance) | Not predictable |
Source: Joel, Eastwick & Finkel (2017), Psychological Science
Personality matching explains almost nothing
Using nationally representative samples of married couples in Australia (5,278), the UK (6,554) and Germany (11,418), researchers separated three things: your own personality, your partner's personality, and how similar the two of you are. Similarity - the thing most matching quizzes sell - consistently explained less than half a percent of relationship satisfaction [4].
What personality explains about relationship satisfaction
23,000+ married people across three countries.
- Your own personalityβ6%
- Your partner's personality1-3%
- How similar your personalities are<0.5%
% of variance in relationship satisfaction explained
Show as table
| Measure | Reported figure |
|---|---|
| Your own personality (actor effects) | β6% |
| Your partner's personality (partner effects - largest for agreeableness, conscientiousness, emotional stability) | 1-3% |
| How similar your personalities are (after controlling for actor and partner effects) | <0.5% |
Notice what does show up: your partner being agreeable, conscientious and emotionally stable helps a little. Being alike does not.
What we say we want vs. what moves us
Men and women reliably say they weigh attractiveness and earning prospects differently. But a meta-analysis of 97 samples of real attraction and real relationships found that, in practice, attractiveness predicted romantic evaluations about equally for both sexes, earning prospects only weakly for both, and the sex difference was tiny and non-significant [3]. Our stated ideals are a poor guide to what actually draws us in.
How strongly do traits predict real romantic evaluations?
Meta-analysis, k = 97. Correlations with romantic evaluations of real people (not hypothetical ones).
- Physical attractivenessr β .40
- Earning prospectsr β .10
- Difference between men and womenr diff = .03
Correlation (r)
Show as table
| Measure | Reported figure |
|---|---|
| Physical attractiveness (both sexes) | r β .40 |
| Earning prospects (both sexes) | r β .10 |
| Difference between men and women (non-significant) | r diff = .03 |
Source: Eastwick, Luchies, Finkel & Hunt (2014), Psychological Bulletin
Similarity matters on paper, not in practice
A meta-analysis of 313 studies found that actual similarity drives attraction before people have really interacted - but its effect shrinks with interaction and was not significant in existing relationships. What kept predicting attraction in real relationships was perceived similarity: feeling like you're alike [5].
| Stage | Actual similarity | Perceived similarity |
|---|---|---|
| No interaction (e.g. reading a profile) | β Yes | β Yes |
| Short interaction | Weaker | β Yes |
| Existing relationship | β Not significant | β Yes |
Source: Montoya, Horton & Kirchner (2008), 460 effect sizes from 313 studies
3. What actually predicts relationship quality
The most comprehensive answer so far comes from a project that pooled 43 longitudinal datasets from 29 labs - 11,196 couples - and used machine learning to test hundreds of variables against each other[1]. Two kinds of predictor were compared: relationship-specific (how you experience this relationship) and individual differences (your personality, mood and history, whoever you're with).
How much of relationship quality can be predicted?
43 longitudinal studies, 11,196 couples. Best case reported in the paper (βup toβ).
- Relationship-specific (how you see this relationship)
- Individual differences (your traits & wellbeing)
- Current satisfaction (start of study)up to 45%
- Current satisfaction (start of study)up to 21%
- Satisfaction at the end of each studyup to 18%
- Satisfaction at the end of each studyup to 12%
% of variance in relationship quality explained
Show as table
| Measure | Group | Reported figure |
|---|---|---|
| Current satisfaction (start of study) | Relationship-specific (how you see this relationship) | up to 45% |
| Current satisfaction (start of study) | Individual differences (your traits & wellbeing) | up to 21% |
| Satisfaction at the end of each study | Relationship-specific (how you see this relationship) | up to 18% |
| Satisfaction at the end of each study | Individual differences (your traits & wellbeing) | up to 12% |
Three findings stand out:
- How the relationship feels from the inside beats everything else. Once someone's own relationship-specific perceptions were known, their personality, wellbeing, and even their partner's reports added no further predictive power.
- Your own view predicted two to four times more than your partner's view of the same things.
- Nobody could predict change. Whose relationship would get better or worse over time was largely unpredictable from any combination of self-reports. Relationships are made as they go, not found fully formed.
Top 5 relationship-specific predictors
- 1. Perceived partner commitment - you trust they're in it.
- 2. Appreciation - you feel grateful for them.
- 3. Sexual satisfaction
- 4. Perceived partner satisfaction - you believe they're happy.
- 5. Conflict - less of it, handled well.
Top 5 individual-difference predictors
- 1. Life satisfaction
- 2. Negative affect (how often you feel bad)
- 3. Depression
- 4. Attachment avoidance - discomfort with closeness
- 5. Attachment anxiety - fear of being left
Rankings as reported in Joel, Eastwick et al. (2020), in order.
Notice what's not on either list: shared hobbies, matching personality types, similar music taste, star signs. Notice also what is there: your own wellbeing and attachment patterns. A healthy relationship isn't only about choosing the right person - it's also about the state you bring into it.
2-minute self-check
How TCK are you?
13 statements drawn from research on third culture kids. Get a score from 0 to 100.
Get my TCK score β4. Conflict, warmth, and the 14-year study
John Gottman and Robert Levenson spent decades filming couples talking - about their day, and about disagreements - and following them for years. In one study of 73 couples, those whose interactions were not balanced toward the positive showed more negative and less positive emotional expression, more stubbornness and withdrawal, and greater defensiveness - and a higher risk of separating[10]. (Gottman later popularised this as a rule of thumb: stable couples keep far more positive than negative moments, even while they argue.)
Their 14-year follow-up showed that when a marriage ends depends on what goes wrong[11]:
Divorcing early
Predicted by negative emotion during conflict
Fights that are heavy with negative emotion.
Divorcing later
Predicted by a lack of positive emotion
Little warmth, interest or humour - in everyday chats as well as in conflict.
93%
accuracy in predicting divorce over 14 years, using marital satisfaction, thoughts of breaking up, and how couples interacted in two conversations - in that study's sample. (Accuracy figures from one sample tend to be lower when applied to new couples.)
Warmth on ordinary days matters too. Research by Shelly Gable and colleagues found that how a partner responds when you share good news - enthusiastically and with interest, rather than flatly or dismissively - is tied to how good people feel about the relationship[12].
5. Passion vs. obsession: does the spark have to fade?
If early love is part-obsession, does long-term love have to mean losing the spark? Not quite. A review and meta-analysis of 25 studies separated romantic love (intensity, engagement, sexual interest) from obsession (anxious preoccupation) [13]:
| Short-term relationships | Long-term relationships | |
|---|---|---|
| Romantic love (without obsession) | β² Strongly positive | β² Strongly positive |
| Obsession | β² Positive | βΌ Negative |
This is the clearest picture of why emotion-first dating misleads us. The anxious, all-consuming feeling that makes a new relationship feel βrightβ is the very component that turns negative in the long run. The kind of love that lasts is calmer, and it's still romantic.
6. Sliding vs. deciding
Emotion-first relationships often progress without a decision ever being made: a few nights a week becomes moving in, becomes βwell, we're already living together.β Researchers Scott Stanley, Galena Rhoades and Howard Markman describe how transitions that are slid into rather than decided can create inertia - some couples end up staying together, or marrying, who otherwise would not have, regardless of how well they fit [16].
The long view of marriage research points the same way. A review of 115 longitudinal studies covering over 45,000 marriages argued that how relationships change over time depends on what each person brings, the stresses the couple faces, and how they handle them together [17] - not on how strong the start was.
7. What to look at instead
None of this means ignoring attraction - you need it to start, and the research says it persists in good long-term relationships. It means not mistaking it for evidence. Here's what the research suggests paying attention to, stage by stage.
Before you meet
- Filter on what you'd regret ignoring later: values, life goals, whether you want kids, how you want to live (settled or mobile).
- Hold looser to everything else. Height, job titles and personality types predict very little about how it will go.
- Don't trust a compatibility percentage - nobody can predict chemistry from a profile yet.
The first dates
- Notice how you feel about yourself around them - appreciated and at ease, or anxious and performing?
- Watch how they respond to your good news. Interested and warm is a better sign than flat or self-focused.
- Treat obsessive, can't-eat-can't-sleep intensity as a signal of desire, not of fit.
The first months
- Do you trust their commitment without having to check? (The #1 predictor.)
- Have your first disagreement and watch it: does it stay about the issue, or turn into contempt, defensiveness or stonewalling? Can you repair afterwards?
- Is there warmth on ordinary days - humour, curiosity, affection - not just on special ones?
Before any big step
- Decide, don't slide. Moving in, marrying, moving countries: make it a conversation and a choice, not the next default.
- Look honestly at your own wellbeing and attachment patterns. They predict how the relationship will feel as much as the other person does.
8. How dating apps βcreateβ partners - and why it doesn't add up
Most dating apps follow the same recipe: a feed of photos, a few seconds per person, a swipe, a match, a chat, and - maybe - a date. The app decides who you see, you decide in seconds based mostly on how they look, and a relationship is supposed to emerge from whatever is left. Put next to the research above, the recipe has the order backwards.
- 1It judges on the weakest signal. A photo and a few lines of bio are excellent at predicting who you'll click on, and close to useless at predicting who you'll click with - nobody can predict chemistry from a profile [2], and what we say we want barely matches what draws us in[3].
- 2It promises compatibility it can't measure. A major review of online dating by five relationship scientists concluded that the matching algorithms dating sites advertised weren't backed by convincing evidence, and argued that browsing endless profiles can push people to evaluate partners more like products than people[14]. Personality matching - the most common βscienceβ on offer - explains under half a percent of satisfaction [4].
- 3Endless choice makes us worse at choosing. Across three studies, people browsing potential partners online started rejecting more of them almost immediately - their chance of accepting someone fell by an average of 27% from the first option to the last. Satisfaction with the photos and their sense of dating success both declined, and for women, matches became less likely [15]. More options produced a more pessimistic, more rejecting mindset, not better choices.
- 4The incentives point the wrong way. This one isn't a study, it's arithmetic: an app paid by monthly subscription earns most while you're still searching. We can't speak for any company's intentions, but designs built around endless feeds and likes behind a paywall fit that incentive far better than the goal of helping you meet one person and leave.
β27%
average drop in the chance of accepting a potential partner from the first option to the last, as people browsed online - the βrejection mindsetβ. Source: Pronk & Denissen (2020)
| The swipe model | What the research suggests |
|---|---|
| Judge in seconds, mostly on photos | Judge over time, on how it feels to be together |
| Unlimited options, always one more swipe | A small number of people genuinely worth meeting |
| A compatibility % from a quiz | Compatibility shows up in person, in commitment, appreciation and conflict |
| Filter on looks, height, job | Filter on values, life goals and how you want to live |
| Endless chatting before meeting | Meeting sooner, in low-pressure settings |
9. Reimagining how people meet
We started Oh My Person with one question: if you designed meeting someone around what the research says makes relationships last - instead of around what keeps people scrolling - what would it look like? This is our answer so far. It's a work in progress, and we'd rather be honest about that than pretend we've solved love.
Filter on what matters, not looks first
Profiles are built around where you grew up, where your family is from, the languages you speak, and what you want from life - the things worth filtering on.
Ask how you love, not what you like
Alongside your profile, a conversational interview asks about your values, how you handle conflict, and how you deal with closeness and distance - the territory the research ties to how relationships go.
Fewer, better introductions - all at once
No endless feed. We're waiting until our founding group reaches 100 people, then calculating compatibility across everyone and releasing matches at the same time - so your first matches are the best pairings across the whole group, not whoever happened to join first.
Get to real life sooner
Chemistry only shows up when you meet. Small online meetups let people meet as people - with good questions instead of small talk - without the pressure of a one-on-one date.
Trusting people again
Underneath all of this is a belief about people: that most of us looking for love come with good intentions. We want to be seen properly, and to see someone else properly. Apps built around speed and scarcity bring out the worst in us - snap judgements, ghosting, treating people as replaceable - and then we blame ourselves, or each other, for how dating feels.
We think the opposite is also true. Give people more context, fewer distractions, and a reason to show up as themselves, and something good tends to happen. So we ask one thing of everyone who joins: come with the right intentions. Be honest about who you are and what you want, be curious about the people you meet, and be kind - especially when it isn't a match.
Frequently asked questions
Do dating app matching algorithms work?+
There's little evidence they can predict who you'll click with. A major 2012 review by relationship scientists found dating sites' matching claims weren't backed by convincing evidence, and later speed-dating research found that even 100+ self-reported traits couldn't predict attraction to a specific person before meeting.
Does having more options on dating apps help?+
Not necessarily. In three studies, people browsing potential partners online became more rejecting as they went - their chance of accepting someone fell by an average of 27% from the first option to the last.
What is the strongest predictor of a healthy relationship?+
In a machine-learning analysis of 43 studies and 11,196 couples, the strongest predictors of relationship quality were people's own perceptions of the relationship: how committed they felt their partner was, how much appreciation they felt, sexual satisfaction, how satisfied they believed their partner was, and (low) conflict. Together these explained up to about 45% of current satisfaction.
Does personality compatibility matter in relationships?+
Much less than most people think. In nationally representative samples of over 23,000 married people in Australia, the UK and Germany, couple similarity in personality explained less than 0.5% of relationship satisfaction once each person's own personality was accounted for.
Can you predict chemistry before meeting someone?+
Not with today's tools. In speed-dating studies where people answered more than 100 questions about their traits and preferences, machine-learning models could not predict who would be attracted to whom specifically - only who tended to like people in general, and who tended to be liked.
Does the spark always fade in long relationships?+
The obsessive, can't-stop-thinking-about-them part tends to fade, but research reviewed by Acevedo and Aron (2009) found that romantic love - intensity, engagement and sexual interest - can persist in long-term marriages and is strongly linked with satisfaction.
What predicts divorce?+
In Gottman and Levenson's 14-year study, negative emotion during conflict predicted divorcing early in a marriage, while a lack of positive emotion - in everyday conversation as well as conflict - predicted divorcing later. A model including both predicted divorce with 93% accuracy in that sample.
References
Figures are taken from each paper's published abstract. Where a study reports only the direction of a finding, this article does too.
- [1] Joel, S., Eastwick, P. W., et al. (2020). Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies. PNAS, 117(32), 19061-19071. https://doi.org/10.1073/pnas.1917036117
- [2] Joel, S., Eastwick, P. W., & Finkel, E. J. (2017). Is romantic desire predictable? Machine learning applied to initial romantic attraction. Psychological Science, 28(10), 1478-1489. https://doi.org/10.1177/0956797617714580
- [3] Eastwick, P. W., Luchies, L. B., Finkel, E. J., & Hunt, L. L. (2014). The predictive validity of ideal partner preferences: A review and meta-analysis. Psychological Bulletin, 140(3), 623-665. https://doi.org/10.1037/a0032432
- [4] Dyrenforth, P. S., Kashy, D. A., Donnellan, M. B., & Lucas, R. E. (2010). Predicting relationship and life satisfaction from personality in nationally representative samples from three countries. Journal of Personality and Social Psychology, 99(4), 690-702. https://doi.org/10.1037/a0020385
- [5] Montoya, R. M., Horton, R. S., & Kirchner, J. (2008). Is actual similarity necessary for attraction? A meta-analysis of actual and perceived similarity. Journal of Social and Personal Relationships, 25(6), 889-922. https://doi.org/10.1177/0265407508096700
- [6] Aron, A., Fisher, H., Mashek, D. J., Strong, G., Li, H., & Brown, L. L. (2005). Reward, motivation, and emotion systems associated with early-stage intense romantic love. Journal of Neurophysiology, 94(1), 327-337. https://doi.org/10.1152/jn.00838.2004
- [7] Marazziti, D., Akiskal, H. S., Rossi, A., & Cassano, G. B. (1999). Alteration of the platelet serotonin transporter in romantic love. Psychological Medicine, 29(3), 741-745. https://doi.org/10.1017/s0033291798007946
- [8] Murray, S. L., Holmes, J. G., & Griffin, D. W. (1996). The benefits of positive illusions: Idealization and the construction of satisfaction in close relationships. Journal of Personality and Social Psychology, 70(1), 79-98. https://doi.org/10.1037/0022-3514.70.1.79
- [9] Hazan, C., & Shaver, P. (1987). Romantic love conceptualized as an attachment process. Journal of Personality and Social Psychology, 52(3), 511-524. https://doi.org/10.1037/0022-3514.52.3.511
- [10] Gottman, J. M., & Levenson, R. W. (1992). Marital processes predictive of later dissolution: Behavior, physiology, and health. Journal of Personality and Social Psychology, 63(2), 221-233. https://doi.org/10.1037/0022-3514.63.2.221
- [11] Gottman, J. M., & Levenson, R. W. (2000). The timing of divorce: Predicting when a couple will divorce over a 14-year period. Journal of Marriage and Family, 62(3), 737-745. https://doi.org/10.1111/j.1741-3737.2000.00737.x
- [12] Gable, S. L., Reis, H. T., Impett, E. A., & Asher, E. R. (2004). What do you do when things go right? The intrapersonal and interpersonal benefits of sharing positive events. Journal of Personality and Social Psychology, 87(2), 228-245. https://doi.org/10.1037/0022-3514.87.2.228
- [13] Acevedo, B. P., & Aron, A. (2009). Does a long-term relationship kill romantic love? Review of General Psychology, 13(1), 59-65. https://doi.org/10.1037/a0014226
- [14] Finkel, E. J., Eastwick, P. W., Karney, B. R., Reis, H. T., & Sprecher, S. (2012). Online dating: A critical analysis from the perspective of psychological science. Psychological Science in the Public Interest, 13(1), 3-66. https://doi.org/10.1177/1529100612436522
- [15] Pronk, T. M., & Denissen, J. J. A. (2020). A rejection mind-set: Choice overload in online dating. Social Psychological and Personality Science, 11(3), 388-396. https://doi.org/10.1177/1948550619866189
- [16] Stanley, S. M., Rhoades, G. K., & Markman, H. J. (2006). Sliding versus deciding: Inertia and the premarital cohabitation effect. Family Relations, 55(4), 499-509. https://doi.org/10.1111/j.1741-3729.2006.00418.x
- [17] Karney, B. R., & Bradbury, T. N. (1995). The longitudinal course of marital quality and stability: A review of theory, method, and research. Psychological Bulletin, 118(1), 3-34. https://doi.org/10.1037/0033-2909.118.1.3