And yet, we keep pretending romance is some mystical force beyond logic—like love can’t be nudged by probability, or that swiping left for three months somehow counts as “research.” Let’s be clear about this: the 37% rule isn’t about cold equations dictating your heart. It’s about minimizing regret when you’re stuck between settling too early and waiting too long. You’ve felt that tension. We all have.
How the 37% Rule Works: The Math Behind Choosing a Partner
Imagine you’re planning to date seriously between ages 18 and 35. That’s 17 years. According to the rule, you should spend the first 37% of that window—roughly 6.3 years—dating without committing. Use that time to gather data. Learn what you tolerate, what you crave, and what makes you walk out mid-date. After that point, the moment you meet someone better than everyone before? You commit. No hesitation.
This strategy maximizes your odds of landing the best possible partner within a finite pool—assuming you can’t go back to exes and must decide immediately after each date whether to stay or move on. The number 37% comes from 1/e (one over Euler’s number, ~2.718), which gives about 0.368, or 36.8%, rounded up. Statisticians call this the “secretary problem,” originally devised in the 1960s to hire the best candidate when interviews happen sequentially.
And that’s exactly where things get uncomfortable: applying hiring logic to love. Because while it feels weird to treat people like job applicants, we’re already doing it—we just don’t admit it. Swipe patterns, mental checklists, even ghosting—all are informal filters. The 37% rule just makes the process explicit. Whether that’s liberating or dystopian depends on how much agency you want in your emotions.
Still, the model has limits. It assumes you can accurately rank people—which is laughable when chemistry defies logic. It also assumes no second chances. Real life? People come back. Exes reappear. Timing shifts. So the model works best as a framework, not gospel. Data is still lacking on how many people actually stick to it beyond blog posts and cocktail party conversations.
Where the 37% Rule Comes From: The Secretary Problem Explained
In 1960, mathematician Merrill Flood introduced a puzzle: if you have 100 job candidates, one at a time, and must decide immediately whether to hire or reject each, how do you maximize the chance of picking the best one? The solution? Reject the first 37%, then hire the next candidate who beats all prior ones. The success rate hovers around 37%—not perfect, but the best possible under those constraints.
It’s elegant in its simplicity. But romance isn’t a hiring freeze. People aren’t résumés. Yet, the structure of dating—meeting people one after another, making quick judgments—mirrors the problem closely enough that behavioral economists started applying it to relationships in the 2000s. Christian Rudder, co-founder of OKCupid, once joked that dating apps turned modern romance into “applied game theory.” He wasn’t wrong.
Why 37%? The Role of Probability and Euler’s Number
The number isn’t arbitrary. It’s the point at which the trade-off between exploration and exploitation balances perfectly. Explore too little? You might miss superior partners down the line. Explore too long? You risk passing over the best one early and ending up with worse options later. The 1/e threshold minimizes regret mathematically. That said, real-world variables—emotional attachment, geographic mobility, cultural norms—mean the sweet spot might drift. For some, 30% feels right. Others need 50%. But 37%? It’s the statistically optimal anchor.
Dating in the Real World: Why the 37% Rule Falls Short
You can’t rank humans like used cars. Attraction isn’t linear. One smile, a laugh at your dumb joke, the way someone pauses before answering—tiny things tilt the scale in ways no algorithm captures. And that’s before we talk about trauma, family expectations, or how much you value stability over spark. The model ignores emotional evolution. We change. Our ideals shift. What you wanted at 22 might disgust you at 28.
Also, who even knows their total pool size? The rule needs a fixed number—say, 20 serious relationships—but most people don’t plan that far ahead. Some date casually for years. Others marry their college sweetheart. Plus, modern dating apps create infinite scroll syndrome: the illusion that someone better is always one swipe away. That changes everything. When FOMO meets algorithmic curation, 37% feels naive.
Experts disagree on whether real humans follow optimal stopping at all. A 2017 study published in Psychological Science found that people tend to stop too early—often after just a few dates—not because they’re irrational, but because emotional fatigue sets in faster than theory predicts. Decision paralysis is real. And let’s be honest: most of us aren’t keeping spreadsheets of partner scores. We’re far from it.
Emotional Biases That Skew the Math
You remember heartbreak more vividly than boredom. That skews your reference point. You idealize the one who got away, forgetting the late-night fights. You also tend to overvalue novelty—a phenomenon psychologists call the “recency effect.” So when someone new enters the picture, they automatically seem better, even if they aren’t. This distorts the core mechanism of the 37% rule: comparing apples to apples.
And what about long-term compatibility? Shared values matter more over time than initial chemistry. But early dating rewards intensity, not depth. So the “best” person in your sample might actually be someone you barely noticed at first. The model assumes immediate, accurate judgment. Life doesn’t work that way. To give a sense of scale: a 2019 Stanford study tracking 16,000 couples found that shared laughter predicted divorce rates better than communication scores. Who logs that on a first date?
Modern Dating Culture vs. Mathematical Models
Dating apps have turned courtship into a numbers game. Hinge claims users go on 40 million dates per year. Tinder says 1.6 billion swipes daily. With that volume, the 37% rule breaks down—because you could spend a decade just clearing the “exploration phase.” Not to mention, most people don’t date 100 people seriously. The average American has about 7.2 sexual partners in their lifetime (per CDC data). Even if you double that for emotional relationships, you’re at 15. That’s not enough to make 37% meaningful.
Unless you redefine the pool. Maybe it’s not serious partners, but meaningful dates. Or people you’d consider marrying. But then definitions blur. And that’s the issue: the rule demands precision where none exists. We’re trying to apply calculus to poetry. Suffice to say, it’s messy.
Alternatives to the 37% Rule: Other Ways to Decide When to Commit
Some swear by gut instinct. Others use thresholds: “I’ll marry the next person who checks three out of four boxes—kindness, intelligence, humor, ambition.” That’s closer to real behavior. Behavioral economist Dan Ariely tested this in his book Predictably Irrational, showing people use rough heuristics, not math. One woman told him she’d settle when she met someone she’d be “embarrassed to leave.” Not romantic, but honest.
Then there’s the “first good enough” strategy. Instead of waiting for the best, you commit when someone meets your minimum viable standard. It’s faster, less exhausting, and surprisingly effective—especially if your standards are well-calibrated. The downside? You might miss someone exceptional just beyond the horizon. But then again, is “exceptional” worth five more years of solo brunches? That’s a personal call.
Or consider relationship milestones. Commit after 6 months if you’ve met their friends, traveled together, and argued about something real. These signals often matter more than abstract comparisons. They’re proxies for compatibility. Unlike the 37% rule, they’re grounded in shared experience, not hypothetical rankings.
Intuition vs. Calculation: Which Should You Trust?
I find this overrated—the idea that we must choose between heart and logic. The best decisions often emerge from both. Use data to avoid obvious traps (like dating someone who hates kids when you want four). Let intuition guide the rest. Because at some point, you have to leap. No equation tells you when your chest tightens in a good way. No spreadsheet captures the comfort of silence between two people who don’t need to perform.
Frequently Asked Questions
Can the 37% rule work if you don’t know how many people you’ll date?
Not really—not in pure form. The rule needs a defined pool. But you can adapt it. Pick a timeframe instead: “I’ll explore for two years, then commit to the next person who feels right.” Or use life stages: “Before grad school, I date freely. After, I focus on building something.” It’s less precise, but more human.
Does the 37% rule apply to online dating?
Barely. Online dating inflates your pool artificially. You might match with 200 people in a month, but only meet 5. The rule assumes sequential, meaningful interactions—not superficial swipes. Plus, algorithms manipulate visibility, making “best” subjective. You’re not choosing from a random sample. You’re choosing from who the app wants you to see.
What if your ideal partner appears during the first 37%?
You let them go. That’s the brutal part. The model accepts you’ll likely reject the best candidate—about 63% of the time, actually. It optimizes for overall success, not individual perfection. But in reality, would you really walk away from true love just because it’s “too soon”? Probably not. And that’s okay. Models serve us—not the other way around.
The Bottom Line: Should You Use the 37% Rule in Your Love Life?
The thing is, the 37% rule isn’t a life manual. It’s a thought experiment dressed in statistics. It highlights a real dilemma: when to stop looking and start choosing. But reducing love to a stopping point ignores the slow burn of attachment, the way trust builds over burnt dinners and bad weather road trips. It also assumes you’re the only one making choices—when in truth, relationships are mutual rejections and acceptances, often out of sync.
So here’s my take: use the rule as a mirror, not a map. Reflect on whether you’re avoiding commitment out of fear or genuinely still exploring. Ask yourself if you’re holding out for fantasy or open to growth. Because the real danger isn’t miscalculating 37%. It’s never starting at all. And that’s exactly where most of us get stuck—not in the math, but in the messiness of being human.