
Hosted by Andrew D. Huberman
Written by a model from the transcript; not yet reviewed.
This episode explores the science of human attraction, mate selection, and romantic relationships with guest Dr. Paul Eastwick, a psychology professor at the University of California, Davis. Andrew D. Huberman and the guest discuss how actual behavioral data challenge rigid evolutionary theories and modern dating app dynamics that often frame romance as a harsh, unequal marketplace. They examine the transition from initial impressions to deep compatibility, highlighting how shared activities, small-group interactions, and idiosyncratic narratives gradually replace consensus-driven standards of attractiveness.
Andrew Huberman opens the episode, introduces the show and outlines the focus on attraction, mate selection, and relationship science.
Discussion of the evolutionary marketplace model of attraction, its limitations, and how current data from Eastwick’s research offers a revised understanding.
Eastwick explains a classroom demo illustrating how perceived mate value influences initial attraction and how time reduces this bias.
Explores how spending time together creates idiosyncratic impressions that enable partners to find each other beyond surface attractiveness.
Provides actionable advice on fostering support networks, managing external opinions, and maintaining healthy communication with partners.
Examines how early impressions accumulate, the phenomenon of the ick, and the slow build of attraction over days to weeks.
Eastwick discusses attachment styles, how they evolve over time, and their impact on relationship stability and intimacy.
Brief interludes for sponsor messages that pause the conversation but are included as separate chapters for clarity.
Huberman and Eastwick wrap up the episode, summarizing key insights and encouraging listeners to apply the science of attraction and relationships in daily life.
The conversation opens with a discussion of how men often express commitment earlier than women, challenging common stereotypes.
Explores why men often lack a robust social support network, impacting their emotional well-being and relationship stability.
Discusses how participation in sports and group activities can create deep male friendships that serve as emotional reservoirs.
Examines how dating apps may favor women or men, the impact of swiping behavior, and the challenges of matching in a commercialized environment.
Describes a study where confederates asked strangers to hook up, revealing a 20-fold gender difference that narrows in familiar contexts.
Highlights the value of meeting through shared activities like parties or sports to observe behavior and build connections beyond superficial interactions.
Explores how texting favors hyperverbal individuals, potentially skewing early dating dynamics and affecting long-term compatibility.
Discusses how couples create elaborate daily routines and role divisions that shape communication and long-term partnership stability.
Contrasts online preferences with real-life interactions, showing that gender differences in attraction diminish when people meet in person.
Discussion about how income levels and financial security affect relationship attraction and stability.
Examining the trade-off between high income and limited free time in long-term relationships.
How socioeconomic status and resource availability impact couples’ ability to weather challenges.
The Forehead Number Class Demostory
A classic classroom demonstration reveals how students act out mate value when numbers are written on foreheads. While initial encounters mimic a strict market based on consensus, getting to know people over time breaks down these rigid hierarchies.
Dating Apps Foster Inequalitydata
Data show that dating apps create extremely unequal markets where the most popular profiles receive the vast majority of right swipes and messages, contrasting sharply with regular acquaintanceship.
Attachment Styles Can Changeinsight
Attachment orientations are not permanently fixed. Individuals with avoidant or anxious pasts can develop more secure attachment patterns over time through stable, supportive romantic relationships.
Face-to-Face Trait Preferencesdata
Speed dating experiments demonstrate that when men and women evaluate real people face-to-face, their preferences for traits like ambition and socioeconomic status do not exhibit the massive gender gaps reported in abstract surveys.
Job Loss and Identity Crisisinsight
When a man loses his job, relationship strains often stem from his own profound loss of identity and self rather than a partner penalizing him for failing to be a provider.
Income Mismatches and Divorcedata
Historical data indicating that marriages were more fragile when women earned more than men stopped holding true in the 1990s, as society adapted to gender-imbalanced income relationships.
“Both men and women, when given a choice, select partners that are younger than them.”
“Physical intimacy is among the very strongest predictors of relationship stability as well as both partners feeling that no matter who else might be attractive to them, that their partner has unique qualities that no one else can match.”
“The early phases especially are just naturally filled with a lot of uncertainty.”
“What we see in our work is a lot of times, this is how it happens.”
“People are biased when it comes to their romantic relationships. In what sense?”
“It's women who are more likely to want to break up.”
“It's actually not literally, do you take people up on it?”
“That don't feel like they have that social support bank account.”
“Men are about 20 times more likely to say yes to that request than women.”
“There's no gender differences in the extent to which these traits appeal to men and women when they're evaluating like real people they've actually met.”
Dr. Paul Eastwick, PhD, is a professor of psychology at the University of California, Davis, and a leading expert on the modern science of mate selection in humans. We discuss what people actually look for in a partner, including surprising findings about age preferences, finances, and physical attractiveness. We also discuss why dating apps often lead people to select for traits that don't support lasting partnerships. We discuss how initial attractions form and evolve and which factors best predict romantic relationship stability and satisfaction. We also explain activities that can expand your dating pool, as well as practical tools for building and sustaining healthy romantic relationships. This episode is for anyone currently in or wanting to be in a relationship. Read the episode show notes at hubermanlab.com. Pre-order Protocols: https://protocolsbook.com Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman Lingo: https://hellolingo.com/huberman LMNT: https://drinklmnt.com/huberman Function: https://functionhealth.com/huberman Timestamps (00:00:00) Paul Eastwick (00:03:25) Evolutionary Models of Dating, Mate Value (00:08:57) Initial Attraction, Maturity (00:12:56) Sponsors: David & Lingo (00:15:21) Dating Apps; Shared Moments & Developing Attraction (00:24:17) First Impressions & Early Relationships; Partner Bias (00:31:41) Friends & Family Support; Relationship Research, Attachment Theory (00:42:15) Sponsor: AG1 (00:43:34) Couple Friends, Advice from Others (00:47:35) Social Support, Women vs Men (00:55:05) Dating App Algorithms, Distrust of Men & Women (01:05:29) Activities & Dating, Observing Date Social Behavior (01:11:25) Texting, Verbal Skills (01:16:15) Sponsor: LMNT (01:17:36) Partner Actions, Dating vs Relationship (01:22:57) Dating & Asking Good Questions; Genuine Connection (01:29:36) Attraction, What Qualities Men & Women Want (01:36:18) Homosexual Dating & Relationships (01:40:08) Finances; Job Loss; Men vs Women, Ambition (01:46:28) Sponsor: Function (01:48:05) Age Difference, Men vs Women Preference; Wanting Children (01:54:58) Church, Activities, Small Groups & Dating; Work; Perceived Similarity (02:07:10) Social Media, Attraction to Alternative Partners, Infidelity (02:19:13) Stranger Attention, Mate Value (02:24:58) Past Relationship Value; Relationship Duration, Breakups (02:34:33) Physical Intimacy & Relationship Satisfaction (02:39:32) Young Adults & Changing Relationships, Technology (02:47:31) Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Protocols Book, Sponsors, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices
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