Why Algorithms Can’t Predict Your Love Life with Dr. Paul Eastwick
Episode
41 min
Read time
2 min
Topics
Relationships, Investing, Fundraising & VC
AI-Generated Summary
Key Takeaways
- ✓Mate Value Myth: Attraction research using the "popularity, selectivity, compatibility" three-part model (developed by Dave Kenny) shows compatibility accounts for the largest share of attraction — even in first impressions. Only 4% of faces receive universal agreement on attractiveness ranking, meaning 96% of people receive split evaluations, making fixed desirability hierarchies statistically indefensible.
- ✓Gender Preference Gap: Survey-based studies show men prioritize attractiveness and women prioritize earning potential in partners. However, speed-dating "revealed preference" studies — measuring actual choices with real people — show men and women respond identically to both ambition and physical attractiveness, indicating stated preferences do not predict real-world attraction behavior.
- ✓Algorithm Failure: Research by Dr. Samantha Joel used machine-learning models with extensive self-reported data to predict romantic compatibility between pairs — replicating what dating apps do — and predicted nothing. Algorithms can identify individual selectivity and popularity, but cannot identify which two specific people will connect, making algorithmic matching fundamentally unreliable.
- ✓Compatibility as Creative Chaos: Romantic compatibility is constructed through repeated, unpredictable interactions rather than pre-existing similarity or matched preferences. Studies show agreement on attractiveness decreases as people know each other longer, meaning initial "mate value" advantages erode over weeks and months while unique pair-specific chemistry grows — a process resembling summer camp social dynamics.
- ✓Dating Strategy Reframe: Rather than optimizing dating profiles or filtering by deal-breakers, expanding social networks through mixed-gender friend groups produces better relationship outcomes. Heterosexual men and women with cross-gender friendships find romantic partners more reliably — not by dating those friends, but through the introductions those networks generate organically over time.
What It Covers
Dr. Paul Eastwick, author of *Bonded by Evolution*, challenges three core "Evo script" myths about human attraction — mate value hierarchies, hardwired gender differences, and short-term versus long-term partner types — presenting research showing compatibility is built through repeated interactions over time, not predicted by algorithms or personal attributes.
Key Questions Answered
- •Mate Value Myth: Attraction research using the "popularity, selectivity, compatibility" three-part model (developed by Dave Kenny) shows compatibility accounts for the largest share of attraction — even in first impressions. Only 4% of faces receive universal agreement on attractiveness ranking, meaning 96% of people receive split evaluations, making fixed desirability hierarchies statistically indefensible.
- •Gender Preference Gap: Survey-based studies show men prioritize attractiveness and women prioritize earning potential in partners. However, speed-dating "revealed preference" studies — measuring actual choices with real people — show men and women respond identically to both ambition and physical attractiveness, indicating stated preferences do not predict real-world attraction behavior.
- •Algorithm Failure: Research by Dr. Samantha Joel used machine-learning models with extensive self-reported data to predict romantic compatibility between pairs — replicating what dating apps do — and predicted nothing. Algorithms can identify individual selectivity and popularity, but cannot identify which two specific people will connect, making algorithmic matching fundamentally unreliable.
- •Compatibility as Creative Chaos: Romantic compatibility is constructed through repeated, unpredictable interactions rather than pre-existing similarity or matched preferences. Studies show agreement on attractiveness decreases as people know each other longer, meaning initial "mate value" advantages erode over weeks and months while unique pair-specific chemistry grows — a process resembling summer camp social dynamics.
- •Dating Strategy Reframe: Rather than optimizing dating profiles or filtering by deal-breakers, expanding social networks through mixed-gender friend groups produces better relationship outcomes. Heterosexual men and women with cross-gender friendships find romantic partners more reliably — not by dating those friends, but through the introductions those networks generate organically over time.
Notable Moment
Eastwick describes how his own romantic life shifted when he stopped strategically hunting for prospects and simply expanded his social circle. The network began cascading — new people led to more new people — and possibilities emerged without any improvement in his personal attributes or dating skills.
Episode Transcript
Pushkin. As William Shakespeare once said, the course of true love never did run smooth. And one of the unsmoothest parts of love is the initial attraction phase. You see somebody across the way who looks kinda cute, but will that person like you back? Will they think you're hot enough, smart enough, successful enough? Sometimes the answer is yes. Cue all the hearts and fireworks. But at least some of the time, the answer is no. The person that you're into isn't that into you. Relationships and attraction especially, there can be a lot of rejection. It can be pretty demoralizing. And to some extent, you can't skip that part, but I think it really matters why was I rejected in this instance. This is doctor Paul Eastwick, an expert on the psychology of human mating. And there's a whole set of ideas out there that suggest that you got rejected because you're a three out of 10, and you're just gonna need to settle for the other threes. Paul is referring to a set of ideas he calls the Evo script, the notion that human attraction boils down to the harsh laws of natural selection. Under the Evo script, finding the right partner is all about finding someone with good genes. Some of us, those so called nines and tens out there, possess a whole host of traits that signal those good genes. The rest of us, not so much. You have a certain set of attributes. They characterize who you are, and they determine what you're gonna get on the market. This is a set of ideas that got very, very popular, but, honestly, it's not very inspiring. You do kinda just wonder, like, what am I doing wrong? What is wrong with me? And, boy, it makes the rejections hit that much harder. But Paul's joining me on the show today to share some good news. His research has found that when it comes to dating, many of these Evo script ideas simply don't hold up. In fact, he's just published a new book with a much more inspiring view on the evolutionary origins of love. It's called Bonded by Evolution, the new science of love and connection. It's about a lot of the ideas that we kinda get wrong about attraction and relationships and what the science actually says about how relationships work. But what does the science say about how relationships actually work? Well, Paul will tell us after these quick messages from our sponsors. This is an iHeart podcast. Guaranteed human. Seeking more brightness these days? Research shows that simply gazing at bodies of water like the Pacific Ocean can help lower your heart rate and increase feelings of relaxation. Consider a trip to sunny San Diego. Put your toes in the sand. Smell and feel the ocean breeze. Spending time in nature can be great for your mental health. And as you soak up the bright side, feel your taste buds, your …
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Books
- Bonded by EvolutionBy guest
by Paul Eastwick
“Dr. Paul Eastwick, author of *Bonded by Evolution*, challenges three core "Evo script" myths about human attraction”
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