『Clearer Thinking with Spencer Greenberg』のカバーアート

Clearer Thinking with Spencer Greenberg

Clearer Thinking with Spencer Greenberg

著者: Spencer Greenberg
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Clearer Thinking is a podcast about ideas that truly matter. If you enjoy learning about powerful, practical concepts and frameworks, wish you had more deep, intellectual conversations in your life, or are looking for non-BS self-improvement, then we think you'll love this podcast! Each week we invite a brilliant guest to bring four important ideas to discuss for an in-depth conversation. Topics include psychology, society, behavior change, philosophy, science, artificial intelligence, math, economics, self-help, mental health, and technology. We focus on ideas that can be applied right now to make your life better or to help you better understand yourself and the world, aiming to teach you the best mental tools to enhance your learning, self-improvement efforts, and decision-making. • We take on important, thorny questions like: • What's the best way to help a friend or loved one going through a difficult time? How can we make our worldviews more accurate? How can we hone the accuracy of our thinking? What are the advantages of using our "gut" to make decisions? And when should we expect careful, analytical reflection to be more effective? Why do societies sometimes collapse? And what can we do to reduce the chance that ours collapses? Why is the world today so much worse than it could be? And what can we do to make it better? What are the good and bad parts of tradition? And are there more meaningful and ethical ways of carrying out important rituals, such as honoring the dead? How can we move beyond zero-sum, adversarial negotiations and create more positive-sum interactions? 社会科学 科学
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  • A conversation with a person with OCD (with David Adam)
    2025/12/10

    Read the full transcript here.

    Where is the line between ordinary intrusive thoughts and an OCD pattern that hijacks the day? How do obsessions and compulsions condition each other so that brief relief entrenches the loop? What clinical markers - ego-dystonic content and intact reality testing - separate OCD from psychosis? How do thought–action fusion, inflated responsibility and “zero-risk” striving amplify checking and covert mental rituals? Why does repeated checking degrade memory confidence and widen doubt? How should ERP be structured to target hidden mental rituals as well as visible behaviors, and what metrics best define success? When are SSRIs a helpful platform for ERP, and why are effective doses often higher than for depression? What boundaries and scripts help families avoid reassurance and accommodation while staying empathic? How do culture and news cycles shape obsession themes without changing the underlying mechanism? What relapse-prevention practices keep gains durable - normalizing setbacks, tracking triggers, and refocusing on work, love, and presence?

    David Adam is an author and journalist, who covers science, environment, technology, medicine and the impact they have on people, culture and society. After nearly two decades as a staff writer and editor at Nature and the Guardian, David set up as a freelancer in 2019. David's book - The Man Who Couldn’t Stop - is his attempt to understand the condition and his experiences with OCD, where he explores the weird thoughts that exist within every mind and explains how they drive millions of us toward obsession and compulsion.

    Links:

    • The Man Who Couldn't Stop: OCD and the True Story of a Life Lost in Thought

    Staff

    • Spencer Greenberg — Host + Director
    • Ryan Kessler — Producer + Technical Lead
    • WeAmplify — Transcriptionists
    • Igor Scaldini — Marketing Consultant

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift
    [Read more]
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    1 時間 18 分
  • What, if anything, will save the environment? (with Dan Stein)
    2025/12/03

    Read the full transcript here.

    Are we going to solve climate change with technology rather than personal sacrifice? If most offsets fail on additionality, should we stop pretending they meaningfully cut emissions? Can policy push dollars into the hard stuff - steel, cement, shipping, aviation - where tech is still nascent? Will clean-firm power unlock a reliable, land-light grid? Do early adopters and advanced market commitments move markets faster than lifestyle campaigns? What mix of R&D, loans, tax credits, procurement, and permitting reform actually drives costs down the curve? How should we weigh “central” damage estimates against fat-tail risks? If $1 can avert a ton while society pays ~$200 in harm, are we underinvesting by orders of magnitude? Can corporate climate action shift from PR offsets to catalytic demand for green steel and concrete? Where should donors place bets when global coordination stalls and national politics swing?

    Dan Stein champions evidence-based approaches to fight the climate crisis while leading Giving Green as founder and executive director, and serving as a senior advisor to IDinsight. He previously held the position of Chief Economist at IDinsight and worked as an Economist at the World Bank. He holds a Ph.D. in Economics from the London School of Economics and a BA from UC Berkeley.

    Links:

    • Giving Green

    Staff

    • Spencer Greenberg — Host + Director
    • Ryan Kessler — Producer + Technical Lead
    • WeAmplify — Transcriptionists
    • Igor Scaldini — Marketing Consultant

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift
    [Read more]
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    1 時間 11 分
  • Are markets rational or is sentiment contagious? (with Alex Imas)
    2025/11/26

    Read the full transcript here.

    Are stock prices set by cash flows or crowd vibes? Why do bubbles last if “smart money” can short them? What should retail traders learn from GameStop and zero-commission options? When does momentum make sense - and when does it burn you? Why don’t obvious mispricings get fixed - what actually stops arbitrage? Will AI help us think clearer, or supercharge manipulation and personalized pricing? Where should regulators draw the line on gamified trading and price discrimination? Do tariffs feel good because they keep others out—even if we pay more? What does the "winner’s curse" mean for auctions, IPOs, and everyday deals? How much of what we want is copied from other people, and why does that matter for markets?

    Alex Imas is the Roger L. and Rachel M. Goetz Professor of Behavioral Science, Economics and Applied AI and a Vasilou Faculty Scholar at the University of Chicago Booth School of Business, where he has taught Negotiations and Behavioral Economics. Alex studies behavioral economics with a focus on cognition and mental representation in dynamic decision-making. His research explores topics related to choice under uncertainty, applied AI, discrimination, and how people learn from information. Professor Imas’ work utilizes a variety of methods, including lab experiments, field experiments, analysis of observational data and theoretical modeling. His research has been published in the American Economic Review, Journal of Finance, Proceedings of the National Academy of Sciences, Quarterly Journal of Economics, and Management Science, among others.

    Links:

    • The Winner's Curse
    • Alex's personal website
    • Alex's Twitter

    Staff

    • Spencer Greenberg — Host + Director
    • Ryan Kessler — Producer + Technical Lead
    • WeAmplify — Transcriptionists
    • Igor Scaldini — Marketing Consultant

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift
    [Read more]
    続きを読む 一部表示
    1 時間 16 分
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