The Perfect Summary Podcast

Debater Andrew Wilson and Joe Rogan on the Minneapolis shooting and protests, immigration politics, Christian ethics and how Wilson built a debate career.

Sex professor Nicole McNichols explains how desire works, what most people never learned about anatomy, and how couples rebuild intimacy.

Stanford ear surgeon Konstantina Stankovic explains how hearing works, what damages it, how to protect it, and why hearing loss matters for the brain.

Neuroscientist David Berson tours the brain from retina to cortex: color vision, the body clock, balance, motion sickness and plasticity.

Andrew Huberman explains how the lymphatic system clears fluid and waste, and how movement, breathing, side sleeping and cardio keep it flowing.

Time researcher Laura Vanderkam shares nine tested rules, from a set bedtime to Friday planning, for finding free time in a busy week.

Five relationship experts on why we repeat painful patterns in love, and why handling your own uncomfortable feelings is where the fix begins.

Steven Pressfield explains Resistance, the self-sabotage that guards your most important work, and the professional habits he uses to beat it at 82.

Yann LeCun explains why deep learning works, why human intelligence is not general, and why self-supervised world models are the next step for AI.

Neuroscientist Tommy Wood on why the brain needs challenge, how much dementia is preventable, and what Formula One teaches about performance.

Behavioral scientist Logan Ury gives Mel Robbins research-backed advice on choosing partners, ending ghosting and dating with less burnout.

Screenwriter Roger Avary talks film craft and favorite movies with Joe Rogan, then spars with him over sweeping conspiracy claims.

Harvard professor Leslie John on why silence damages marriages and careers, mind-reading expectations, and how to reveal wisely.

A compilation in which six experts explain types of narcissists, warning signs, family roots and how to protect your relationships.

Andrew Huberman explains the brain's social homeostasis circuit, why loneliness drives us to connect, and how shared experience builds bonds.

Stanford's Bill Burnett and Dave Evans share tools for designing a meaningful life: three possible futures, small prototypes and flow.

Simon Sinek on why posting pain online is not vulnerability, how to measure a good day, co-created boundaries, AI fear and inequality.

Dermatologist Dr. Shereene Idriss on the three-step routine, what to skip, actives, adult acne, sunscreen and why jowls are structural.

Neuroscientist Glen Jeffery on how red and infrared light support mitochondria, vision and blood sugar, and why he worries about LED lighting.

Watson lead David Ferrucci explains how the Jeopardy system worked and why real machine understanding needs shared human frameworks.

Michael Jai White and Joe Rogan trade gym stories, fight theory, film talk and lessons on discipline, humility and giving back.

Mel Robbins on four small daily decisions (phone, mindset, food and bedtime scrolling) that she says shape your energy and mood.

Divorce lawyer James Sexton on why marriages erode through small disconnections and the small, free habits that keep love alive.

Author Rachel Wilson tells Joe Rogan why she thinks feminism was imposed on women and hurt families; her claims go largely unchecked.

Physicist Sean Carroll explains wave functions, entanglement and why he thinks the many-worlds view is the cleanest reading of quantum mechanics.

Michael Kearns explains how fairness and privacy can be built into algorithms, the trade-offs involved, and who should decide.

Columbia's Martin Picard explains mitochondria as energy transformers and why stress, sleep, food and purpose shape energy and aging.

Artist David Choe tells Andrew Huberman how shame fueled his art and addictions, and what a decade of recovery has taught him.

Neuroscientist Wendy Suzuki explains what anxiety is for and shares tools, from joy conditioning to exercise, for putting it to use.

Noam Chomsky on what language is, why human cognition has built-in limits, and why deep learning is engineering, not science.