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What happens to a community when no one has the formally recognized authority to punish, exclude, or forgive? Are written rules a constraint on freedom, or are they sometimes the very condition that lets unusual people survive socially? When a group says it has no hierarchy, does that eliminate power, or merely disguise power as consensus, vibe, shunning, and informal reputation? Why does a leaderless community so often become a place where everyone watches everyone else? Is mob justice an aberration from human nature, or one of the oldest forms of social order? When people call for a world without cops, do they imagine a world without enforcement, or a world where enforcement has been redistributed into every friendship, feed, and campfire? Why do tight-knit groups sometimes seem humane, supportive, and morally serious from the inside, yet suffocating or terrifying to anyone who cannot fit the mold? If cancelation only works on people who once belonged to the in-group, what does that reveal about belonging itself? Is the arbitrary quality of online punishment a failure of justice, or the predictable result of a system where norms are enforced before they are named? Can a society make room for weirdness without first deciding, in writing or by custom, which kinds of weirdness it is willing to protect?

Tor Parsons is an American educational YouTuber known for his channel Tor's Cabinet of Curiosities, where he discusses unusual topics and stories from history, anthropology, psychology, and neuroscience. He graduated from Lewis & Clark College in 2024 and has gained significant popularity, amassing over 180,000 subscribers.

Links:

• Tor's Youtube Channel: Tor's Cabinet of Curiosities

• Tor's Cabinet of Curiosities on Patreon

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What changes when we stop imagining transformation as a single breakthrough and start seeing it as thousands of small, low-resistance actions? How do we know whether a small action is genuinely sustainable or merely another form of self-improvement theater? What makes one habit a keystone habit for one person but irrelevant or even counterproductive for another? How can someone choose a direction for change when modern life constantly offers competing prescriptions for what a better self should look like? Why are the boring, repetitive, off-camera moments of change so much harder to honor than the dramatic moment of decision? What would recovery, habit formation, or personal growth look like if relapse and failure were treated as learning signals rather than moral verdicts? When does counting streaks reinforce commitment, and when does it turn a broken streak into a reason to abandon the whole project? How should we think about behaviors like social media use when they resemble addiction in loss of control but differ radically in risk, stigma, and physiology? What does addiction reveal about the way pain, relief, shame, and repetition can form a closed loop? Why might the same addictive mechanism be easier to recognize in a socially condemned drug habit than in a socially acceptable pattern of drinking, working, scrolling, or consuming?

Links:

• Eric's Book: How a Little Becomes a Lot: The Art of Small Changes for a More Meaningful Life

• Eric's Podcast: The One You Feed

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Why is so much self-help useless, and why is some of it genuinely life-changing? What separates a powerful psychological technique from vague advice? Why is “love yourself” often less useful than a concrete sequence of actions? How can insight into the causes of suffering become a path to change rather than just an explanation? When does understanding the past help, and when does it distract from the controllable patterns happening now? Why can a simple realization about approval-seeking, avoidance, or fear reorganize a person’s life? What does exposure therapy reveal about the gap between what the anxious mind predicts and what reality actually delivers? Why is the stretch zone so important for change? How do thoughts, attention, speech, and the body become the real machinery of self-improvement? And what would it mean to build a toolkit around what people can actually control?

Links:

• Jeremy's Website

• Jeremy and Spencer's Book: The 12 Levers

Dr. Jeremy Stevenson works as a clinical psychologist at Adelaide Psychology and Co., and as a researcher at Spark Wave.

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How do we know whether the things we do every day actually work? Why do so many practices in medicine, parenting, education, conservation, and public policy begin as intuition, authority, or anecdote rather than careful evidence? What can the tragic history of front-sleeping advice and sudden infant death syndrome teach us about the danger of untested conventional wisdom? How should we distinguish between a bad outcome, a bad decision, and a reasonable decision made under uncertainty? When does intuition work well, and when does it fail because we lack repeated examples, tight feedback loops, or meaningful outcome data? What makes randomized trials so powerful, and why are they still only one part of the evidentiary picture? How should we weigh anecdotes, observational studies, randomized trials, systematic reviews, meta-analyses, clinical guidelines, expert judgment, patient values, and political constraints? Why do people resist evidence when it threatens their identity, authority, or past decisions? What does evidence-based medicine get right that fields like education, policing, business, and conservation still struggle to embed? And in a world of social media, declining institutional influence, polarized trust in science, and AI-generated scientific output, how can we build better habits for finding, synthesizing, communicating, and acting on evidence?

Thanks to Animal Charity Evaluators for sponsoring this episode. Find out more about their mission and the Movement Grants Matching Challenge.

Links:

• Helen's Book: Beyond Belief

Helen Pearson has been a journalist and editor for Nature, the world’s leading science journal, for over 20 years, including five years leading the team as Chief Magazine Editor. She was named European Science Journalist of the Year in 2025, and Editor of the Year at the Association of British Science Writers awards in 2022.

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How much good is lost when charity optimizes only for what can be measured? When does a cost-effectiveness model clarify reality, and when does it create false confidence? Could the most important interventions be the ones that look too uncertain, too political, or too indirect to fit neatly into a spreadsheet? What would it mean to judge philanthropy not only by the marginal dollar, but by its power to unlock whole systems of future impact? And if social change follows a power law, should doing good look less like buying guaranteed outcomes and more like building a portfolio of serious bets? Why might cash transfers be unusually powerful despite their simplicity? What happens when money does not just help one household, but circulates through an entire local economy? How should we weigh scalable, robust interventions against more complex programs that may work brilliantly only when execution is excellent? What do donors miss when they ignore team quality, government relationships, political context, and second-order effects? And in a world where every intervention sits inside a messy system, how do we stay rigorous without becoming trapped by certainty?

Links:

• GiveDirectly

Nick Allardice is the President and CEO of GiveDirectly, which uses technology to send cash directly to people living in poverty, and has variously been named amongst the most audacious, innovative and fastest growing organizations in the world.

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Why do our minds sometimes need experiments more than insight? What changes when therapy becomes a way of practicing life outside the therapist’s office rather than explaining life inside it? If CBT is fundamentally about learning skills, how much of good therapy depends on what happens between sessions? Why can a five-minute action matter when depression says that nothing is worth doing? What does it mean to test a thought instead of trying to replace it with something merely positive? How do moods make certain evidence visible while hiding the rest? Why does anxiety grow when we organize life around avoiding danger rather than strengthening our capacity to cope? What would change if we treated catastrophes not only as predictions to challenge, but as scenarios we could prepare to handle? How do safety behaviors keep fear alive by teaching the wrong lesson? And what might therapy become if it started not only with what is broken, but with the strengths, habits, and forms of resilience a person already has?

Links:

• Christine's Book: Mind Over Mood

• Christine's YouTube Channel

Christine A. Padesky, PhD is a psychologist, author, and international lecturer. She has been recognized for her client-centered, collaborative, and strengths-based contributions to cognitive behavioral therapy (CBT). Her quest to help more people live fulfilled lives through CBT techniques led her to co-write, along with Dennis Greenberger, the best-selling self-help book, Mind Over Mood: Change How You Feel by Changing the Way You Think.

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What are the world’s leading AI companies actually trying to build when they talk about superintelligence? Is the goal merely better chatbots, or systems that could outperform all humans across every cognitive task? Why would such a system be so alluring if it could accelerate medicine, science, education, abundance, and human flourishing? Why would it also create an unprecedented concentration of power for whoever controlled it? If intelligence includes not only abstract reasoning but persuasion, strategy, manipulation, planning, and technological invention, what happens when those capacities are automated at superhuman scale? How seriously should we take AI CEOs when they say the technology could go catastrophically wrong, and how should we interpret the tension between their public concern and their continued participation in the race? If we cannot reliably inspect their goals, motives, reasoning, or learned objectives, how could we know whether apparent obedience is real safety or just surface behavior? Even if alignment were solved, who should be trusted to steer a superintelligence? Could compute governance, chip tracking, training thresholds, inspections, and a US-China agreement buy time before the frontier moves further? What do nuclear weapons, nuclear power, chemical weapons, and germline engineering teach us about the possibility and limits of technological restraint? Is resignation itself part of the danger, and could a credible movement for coordination make a saner future more possible? averages? And when injustice affects both men and women differently, what framework avoids turning that into a zero-sum argument?

Links:

• MIRI

Malo Bourgon leads the Machine Intelligence Research Institute. Before becoming CEO, Malo served as a program management analyst and then as COO, helping implement many of MIRI’s current systems, processes, and program activities. Malo joined MIRI in 2012 shortly after completing a master’s degree in engineering at the University of Guelph.

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What should count as trauma, and what gets lost when the word expands to cover ordinary distress? Why do some frightening events leave lasting psychological injury while others fade into ordinary memory? Is trauma best understood as the event itself, or as the enduring failure of the mind to recover from it? What is the difference between being influenced by the past and being imprisoned by it? Can a society acknowledge real harm without teaching peIf progress is real but uneven, what metrics actually matter—outcomes, perceptions, or lived vulnerability? How do we rigorously separate descriptive claims about human tendencies from normative claims about how people should behave? What evidence would genuinely change our beliefs about gender differences, and are we even asking falsifiable questions? If most differences are small but outcomes at the extremes are large, how should policy and culture respond to tails rather than averages? And when injustice affects both men and women differently, what framework avoids turning that into a zero-sum argument?

Links:

• Kate's Research
• Kate's Latest Book Unshrinking: How To Face Fatphobia

Kate is a Professor of Philosophy at the Sage School at Cornell University who specializes in moral, social, and feminist philosophy, and has written three award-winning books decisively exploring topics such as misogyny, male privelege, and fatphobia. In 2024, she was awarded the APA's Lebowitz Prize for Philosophical Achievement and Contribution for her work on the reasons to be skeptical about dehumanization as an explanation for misogynistic violence and other forms of human cruelty.

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Read the full transcript here.

What should count as trauma, and what gets lost when the word expands to cover ordinary distress? Why do some frightening events leave lasting psychological injury while others fade into ordinary memory? Is trauma best understood as the event itself, or as the enduring failure of the mind to recover from it? What is the difference between being influenced by the past and being imprisoned by it? Can a society acknowledge real harm without teaching people that damage is inevitable? Does the body keep the score, or is the body better understood as a scorecard for what the brain is tracking? Why are metaphors about hidden trauma so compelling even when they may obscure how memory actually works? If severe trauma is usually remembered rather than repressed, why do myths of buried memories remain so powerful? What is the difference between avoiding a painful memory and being unable to recall it? How do fragmented memories help the brain preserve threat relevant details while losing the clean story of what happened? What would change if we saw resilience not as denial of harm, but as flexible, imperfect, learnable adaptation?

Links:

• George's Latest Book: [The End of Trauma](The End of Trauma (book): https://www.amazon.com/End-Trauma-Science-Resilience-Changing/dp/B09CZJ2X38)

George Bonanno is a Professor of Clinical Psychology at Columbia University's Teachers College and internationally recognized for his pioneering research on human resilience in the face of loss and potential trauma. He is recognized by the Web of Science as among the top one percent most cited scientists in the world, and has been honored with lifetime achievement awards from the Association for Psychological Science, the International Society for Traumatic Stress Studies, and the International Positive Psychology Association.

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How do we tell the difference between a theory that is incomplete and a theory that is simply wrong? What should count as success in fundamental physics when direct experiments are scarce? Can a theory be scientifically valuable long before it becomes directly testable? What does it mean for string theory to be both a candidate description of reality and a powerful mathematical toolkit? How often do people conflate the usefulness of a framework with proof that it describes the world? Can a theory be deeply generative even if it never becomes the final answer? What should we make of ideas that produce insights across mathematics, black holes, quantum fields, and condensed matter without yet pinning down our universe? Is there a meaningful difference between string theory as a family of possibilities and string theory as the true structure of nature? When a framework can describe many possible universes, is that a strength or a failure of specificity? Why has elegance been such a powerful guide in physics? When is beauty a fruitful heuristic, and when is it a dangerous seduction? Do humans mistake their own aesthetic preferences for clues about reality? Why have some of the strangest successful theories also turned out to be the most conceptually beautiful? How fair is the criticism that string theory was oversold? When promising frameworks fail to deliver quick experimental confirmation, how much hype should they be allowed to survive? Do fields become distorted when bold public narratives outrun what the evidence can support? How much do sociology, prestige, and intellectual fashion shape what physicists work on?

Links:

• Christian's YouTube Channel

• Christian's work on ResearchGate and Google Scholar

Christian Ferko studied math and physics at MIT before completing his PhD at the University of Chicago, focusing on string theory. He then performed postdoctoral research at the University of California, Davis, at the Center for Quantum Mathematics and Physics. Christian currently holds a joint appointment at Northeastern University and as a Junior Investigator at the Institute for Artificial Intelligence and Fundamental Interactions, a collaboration between MIT, Harvard, Northeastern, and Tufts. His research interests include string theory, quantum field theory, classical and quantum gravity, and the intersection between physics and AI.

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