The internet has spent years treating the "love hypothesis" like a fortune cookie — something vague about chemistry and timing that you repeat at brunch.
But buried in the research literature is a far stranger idea: that romantic love operates less like a mystery and more like a biological algorithm, one that runs on prediction, error correction, and a feedback loop you can actually observe.
At the center of it is a psychologist named Arthur Aron, whose famous 1996 "36 questions" study gets recycled every Valentine's Day.
Less viral is the broader framework he and other researchers built: love as a self-expanding process.
The hypothesis isn't that you "fall" — it's that intimacy is manufactured through escalating vulnerability, and that your brain rewards the expansion of your sense of self with a chemical cocktail that feels indistinguishable from destiny.
A 2021 meta-analysis of 25 years of attraction research found that the single strongest predictor of whether you'd love someone wasn't shared values or physical type.
It was proximity and repeated, low-stakes exposure.
The algorithm doesn't care about your soulmate checklist.
Then there's the "love regulation" angle, pushed by researchers like Sandra Langeslag, who studies how people deliberately dial their feelings up or down.
Her work suggests that love isn't a weather event you endure.
It's a dial you can turn — by thinking about your partner's best qualities, by visualizing them, by controlling how often you let yourself spiral.
This is the part that breaks people's brains.
It implies your ex, your crush, your situationship — all of it is partially a maintenance problem, not a fate problem.
Because we are living through the most algorithmically mediated romance market in human history.
Dating apps run their own crude love hypothesis on you every day: show you enough plausible matches, engineer enough micro-rejections, and keep you swiping.
The tragedy is that the real research points the opposite direction — toward depth, repetition, and slowness, the exact behaviors the platforms can't monetize.
Put plainly: the love hypothesis, read honestly, is a threat to the business model of modern loneliness.
It's also cheaper than another month of premium.
If love is a trainable process rather than a lightning strike, then every relationship you've abandoned "because the spark died" is a data point you declined to study.
Final Thoughts
The hypothesis doesn't guarantee anything — it just quietly suggests you had more agency than the story you've been telling yourself.