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Clown Cast

Joey Musselman

Podcasts about whatever I find interesting — history, tech, weird rabbit holes. I was making these for myself anyway, so I figured I'd share. Fully AI-generated: Claude researches and writes each episode, and Piper voices it, one of them trained on my own voice. It all runs on a pipeline I built with Claude Code on an old laptop in my house. Enjoy.

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  • English

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  • S1 · E467
    Today · 17 min

    Never See the Lie: Building the Reality Filter

    Your brain deliberately corrupts its own memories. AI models believe their own lies. The structural reason is the same on both sides: confabulation—filling gaps with plausible fiction without knowing it happened. This episode explores how the human brain filters out false thoughts before they reach consciousness, and how AI engineers are now building similar reality checks using retrieval-augmented generation and other techniques that let systems verify claims against ground truth rather than just guessing from their training data. 00:00:00 - The problem: confabulation in brains and AI 00:01:31 - How the brain's orbitofrontal filter works through exclusion 00:06:26 - Why retrieval beats pure generation 00:09:36 - The scale of improvement: 18% to 82% 00:12:53 - Schnider's filter as the model for AI reality-checking 00:14:44 - Why multiple partial checks matter more than a single oracle --- Sources & further reading: • Armin Schnider — "Orbitofrontal Reality Filtering": https://pmc.ncbi.nlm.nih.gov/articles/PMC3677127/ • Nadine Dijkstra, Thomas von Rein, Peter Kok, Steve Fleming — "A neural basis for distinguishing imagination from reality": https://www.cell.com/neuron/fulltext/S0896-6273(25)00362-9 • Hexiang Tan et al. — "Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs" (EMNLP 2025): https://aclanthology.org/2025.emnlp-main.238/ • Patrick Lewis et al. — "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" (NeurIPS 2020) — (original arXiv: 2005.11401) • Saroj Mishra — "Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation": https://arxiv.org/abs/2606.04435 • Kazuaki Furumai, Shuichiro Haruta, Kazunori Matsumoto, Daisuke Kamisaka — "CORTEX: Token-Level Hallucination Detection in RAG via Comparative Internal Representations": https://arxiv.org/abs/2606.31033 • Yifan Feng et al. — "Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation": https://www.nature.com/articles/s41467-026-71411-1 • Hernandez & Gonzalez — "Hallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models": https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619792/ • Integrative Psychiatry — "Confabulation Not Hallucination: Rethinking AI Error Terminology": https://www.integrative-psych.org/resources/confabulation-not-hallucination-ai-errors • Neuroscience News — "How the Brain Tells Imagination from Reality, And When It Fails": https://neurosciencenews.com/reality-imagination-brain-29221/ • Boston Globe — "We think hallucinations make AI different from us. What if they make us the same?" (Sept 24, 2025): https://www.bostonglobe.com/2025/09/24/magazine/artificial-intelligence-hallucinations-in-ai/ This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E466
    Today · 18 min

    Same Hardware, Different Settings: Why AI Models Believe Their Lies

    Last episode explored how your brain deliberately corrupts its own memories. Today, Joey and the show pull on that thread—and uncover why the entire AI field has been using the wrong word all along. Drawing on neuroscience research and the U.S. government's own standards (NIST), we explore confabulation: the confidence trick your brain and AI models share. It's not hallucination. It's something deeper—where the line between productive dreaming and pathological memory fabrication runs through the same hardware, just different temperature settings. Key timestamps: 00:00:00 - Your brain corrupts its own memories (why last episode matters today) 00:01:31 - Why NIST and neuroscientists say confabulation beats hallucination 00:04:52 - Two types of confabulation in neuropsychology 00:10:05 - Sleep and hidden patterns: why dreaming is productive 00:11:53 - Same hardware, different settings 00:13:47 - How the human brain runs its reality filter 00:15:25 - The genuine belief in false memory (Rashomon witness) 00:18:46 - Temperature as the core metaphor --- Sources & further reading: • Armin Schnider — "Spontaneous confabulation and the adaptation of thought to ongoing reality": https://www.nature.com/articles/nrn1179 • Erik Hoel — "The overfitted brain: Dreams evolved to assist generalization": https://www.cell.com/patterns/fulltext/S2666-3899(21)00064-7 • Bender, Gebru, McMillan-Major, Mitchell — "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?" (2021) — (originally published at FAccT 2021) • NIST — "AI 600-1: Generative AI Risk Profile" (July 2024): https://www.libertify.com/interactive-library/nist-ai-600-1-generative-ai-profile/ • Nora Benavidez and Giancarlo Mori — "Hallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models": https://pmc.ncbi.nlm.nih.gov/articles/PMC10619792/ • Integrative Psych — "Hallucination vs. Confabulation: Rethinking AI Error Terminology": https://www.integrative-psych.org/resources/confabulation-not-hallucination-ai-errors • Wolters Kluwer — "Hallucination vs. Confabulation: Why the difference matters in healthcare AI": https://www.wolterskluwer.com/en/expert-insights/hallucination-vs-confabulation-why-difference-matters-in-healthcare-ai • Stanford HAI — AI Index 2026, hallucination measurement across 26 frontier models — (referenced via multiple aggregators) • Vectara — HHEM hallucination benchmark data (May/September 2026): https://www.elitecontentmarketer.com/ai-hallucination-statistics/ • Scientific American — "Why Lawyers Keep Citing Fake Cases Invented by AI": https://www.scientificamerican.com/article/why-lawyers-keep-citing-fake-cases-invented-by-ai/ • GC AI — "AI Hallucination Legal Cases: Sanctions Tracker": https://gc.ai/blog/ai-hallucination-legal-cases • Srivastava, Hinton, Krizhevsky, Sutskever, Salakhutdinov — "Dropout: A Simple Way to Prevent Neural Networks from Overfitting" (2014): https://www.jmlr.org/papers/v15/srivastava14a.html • Wagner, Gais, Haider, Verleger, Born — "Sleep inspires insight" (Nature, 2004) • biorxiv preprint — "Retrieval uncertainty drives rapid consolidation of confabulated memories in retrosplenial cortex" (2026): https://www.biorxiv.org/content/10.64898/2026.09.01.748171v1.full • Springer — "What is the Creative Value of AI Hallucinations?" (2026): https://link.springer.com/article/10.1007/s10796-026-10747-x • The Innovation: AI Plus — "Extracting creativity from hallucination: rethinking large language models" (2026): https://www.the-innovation.org/ai-plus/article/doi/10.59717/ipj.aiplus.2026.100008 • …and 1 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E465
    Today · 17 min

    When Your Brain Fights Invisible Opponents

    Your brain spends every night deliberately corrupting your memories—and researchers now argue that's exactly the point. Dreams aren't mysterious messages from your subconscious; they're biological regularization, the same trick machine learning uses to prevent models from overfitting to reality. By practicing without real opponents (like kata), your brain generalizes the underlying patterns of thought and stays ready for the genuinely new. Key moments: 00:00:00 - The biological purpose of memory corruption 00:01:46 - Dreams and offline neural training 00:03:31 - How sleep deprivation turns your brain into a threat-detector 00:05:25 - When a model writes its own practice problems 00:07:24 - How sleep integrates memories: the sourdough metaphor 00:09:10 - Why dream decoders face the same generalization problem 00:12:30 - Training data from 4,000 dreams of a single person 00:14:13 - The compute cost of synthetic dream training for AI --- Sources & further reading: • Horikawa, Tamaki, Miyawaki, Kamitani — "Neural Decoding of Visual Imagery During Sleep" (Science, 2013): https://www.science.org/doi/10.1126/science.1234330 • Erik Hoel — "The Overfitted Brain: Dreams evolved to assist generalization" (Patterns, 2021): https://www.cell.com/patterns/fulltext/S2666-3899(21)00064-7 • Behrouz, Hashemi, Javanmard, Mirrokni — "Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories" (arXiv, 2026): https://arxiv.org/abs/2606.03979 • Fu et al. — "Making Your Dreams A Reality: Decoding the Dreams into a Coherent Video Story from fMRI Signals" (arXiv, 2025): https://arxiv.org/pdf/2501.09350 • Dream2Image dataset — "An Open Multimodal EEG Dataset for Decoding and Visualizing Dreams with Artificial Intelligence" (arXiv, 2025): https://arxiv.org/pdf/2510.06252 • Dream2Learn — "Structured Generative Dreaming for Continual Learning" (International Journal of Computer Vision, 2026): https://link.springer.com/article/10.1007/s11263-026-02958-1 • Mallett et al. — "A large corpus of lucid and non-lucid dream reports" (arXiv, 2026): https://arxiv.org/html/2603.26992v1 • Mednick lab / UC Irvine — "Dreaming is linked to improved memory consolidation and emotion regulation" (2024): https://news.uci.edu/2024/05/13/dreaming-is-linked-to-improved-memory-consolidation-and-emotion-regulation/ • Diekelmann & Born — "Mechanisms of systems memory consolidation during sleep" (Nature Neuroscience, 2019 review): https://www.nature.com/articles/s41593-019-0467-3 • REM sleep reduction and fear overgeneralization (BMC Medicine, 2025): https://link.springer.com/article/10.1186/s12916-025-04411-5 • ScienceDaily summary of Hoel's hypothesis: https://www.sciencedaily.com/releases/2021/05/210514134208.htm • DreamBank (Domhoff & Schneider) — for the database itself; referenced via Domhoff's published work • Modem Dream Recorder: https://www.dezeen.com/2025/06/30/dream-recorder-ai-design/ • ACM summary of dream decoding: https://cacm.acm.org/news/decoding-dreams-with-ai/ This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E464
    Today · 18 min

    Two Worlds, No Referee

    When two completely different knowledge systems collide, they don't just disagree—they speak in fundamentally different languages. Thomas Kuhn named this problem incommensurability: when paradigms are so far apart that one has no standard to judge the other by. This episode explores what happens when one knowledge system builds the courtroom and asks the other to prove itself inside it, using the landmark Delgamuukw v. British Columbia case as a roadmap for when oral histories meet written evidence, and both sides speak truth in languages the other doesn't understand. 00:00:00 - Opening: Two groups, completely different rules, no referee 00:01:37 - A Supreme Court case that challenges everything 00:03:27 - Why the court system is the one that built the room 00:05:16 - How oral histories get evaluated (or don't) in court 00:08:28 - When proving yourself becomes an insult 00:10:10 - The map the court couldn't see 00:13:33 - Taking the technique but not the knowledge system 00:15:10 - 250 years filed under 'errors' 00:17:01 - Why incompatible systems stay two separate hulls --- Sources & further reading: • Thomas Kuhn — The Structure of Scientific Revolutions (1962) — (book) • Miranda Fricker — Epistemic Injustice: Power and the Ethics of Knowing (2007) — (book, Oxford University Press) • Boaventura de Sousa Santos — "Beyond Abyssal Thinking: From Global Lines to Ecologies of Knowledges": https://carleton.ca/mds/wp-content/uploads/sites/177/santos-Abyssal-thinking.pdf • The Canadian Encyclopedia — "Delgamuukw Case": https://thecanadianencyclopedia.ca/en/article/delgamuukw-case • Dalhousie Law Journal — "Judicial Treatment of Aboriginal Peoples' Oral History Evidence: More Room for Reconciliation": https://digitalcommons.schulichlaw.dal.ca/dlj/vol42/iss2/10/ • History of Knowledge — "Placing Indigenous and European Knowledge on Equal Footing in the Delgamuukw Land Claim": https://historyofknowledge.hypotheses.org/5713 • Wikipedia — "Listener letter on science" (Mātauranga Māori controversy): https://en.wikipedia.org/wiki/Listener_letter_on_science • RNZ — "University academics' claim mātauranga Māori 'not science' sparks controversy": https://www.rnz.co.nz/news/te-ao-maori/447898/university-academics-claim-matauranga-maori-not-science-sparks-controversy • Inside Higher Ed — "New Zealand Debates Academic Freedom Over Criticism of Māori": https://www.insidehighered.com/news/2021/12/10/new-zealand-debates-academic-freedom-over-criticism-m%C4%81ori • Arena — "Changing Fire Imaginaries: Walking together to reap the ethical and practical benefits of cultural burning": https://arena.org.au/changing-fire-imaginaries-walking-together-to-reap-the-ethical-and-practical-benefits-of-cultural-burning/ • University of Sydney — "Ancient Aboriginal fire knowledges for cutting edge solutions": https://www.sydney.edu.au/science/news-and-events/news/2020/01/22/ancient-aboriginal-fire-knowledges-for-cutting-edge-solutions.html • NCBI/PMC — "Inevitable epistemological conflict: Reflections on a disagreement over the relationship between science and indigenous and local knowledge": https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200913/ • Institute for Integrative Science and Health — "Two-Eyed Seeing: Guiding Principles": http://www.integrativescience.ca/Principles/TwoEyedSeeing/ • Reid et al. — "'Two-Eyed Seeing': An Indigenous framework to transform fisheries research and management" in Fish and Fisheries (2021): https://onlinelibrary.wiley.com/doi/full/10.1111/faf.12516 • SAPIENS — "Western Science Is Finally Catching Up to Traditional Ecological Knowledge": https://www.sapiens.org/culture/traditional-ecological-knowledge/ • Stanford Encyclopedia of Philosophy — "The Incommensurability of Scientific Theories": https://plato.stanford.edu/archives/win2016/entries/incommensurability/ • …and 2 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E463
    Yesterday · 13 min

    Rating Blockers: The Final Exam

    When you isolate a drummer from a full band, their skill gets mixed with the bassist, guitarist, and singer's contributions—you hear the interaction, not the individual. In this final episode of the sports analytics series, Joey examines beach volleyball blocking through the same problem: can you really measure a blocker's individual skill through an adjusted kill-block rate, or is it just a number that looks real? Built from Rice and Wisconsin university course assignments, the episode constructs the rating and then puts it on trial—because sometimes the hardest question isn't how to build a stat, it's whether the number actually means anything. 00:00:00 - The Problem: When Individual Skill Hides in the Mix 00:01:33 - The Method: Unmixing Blocker Performance 00:06:25 - The Rating: Kill-Block Rate Adjusted for Context 00:11:13 - The Trial: Does Your Number Actually Mean Anything? --- Sources & further reading: • Rice SMGT 430 (Scott Powers), assignments: (checked 2026-11-12): https://saberpowers.com/teaching/smgt430/ • Wisconsin STAT 479 (Sameer Deshpande), Project 1 • (checked 2026-11-12): https://skdeshpande91.github.io/stat479_fall2025/project1.html • Project files: game-senser-fable/docs/lsa/ hw4, hw5, LONG-RUNS.md, IDEAS.md, branch lsa-homework • (read 2026-11-12) This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E462
    Yesterday · 16 min

    The Weight of Moments: Do Timeouts Matter?

    Joey's sports analytics series tackles a fundamental question: which points actually matter to match outcome? By building a probability model from real match data—tracking every possible set score, point, and server state—the team quantifies pressure. Then they apply it to test one of coaching's most debated tactics: do timeouts actually work? 00:00:00 - Intro: the big-point measurement problem 00:08:10 - The tare weight: understanding measurement error 00:13:06 - Timeout research: what calms (and doesn't rattle) serves 00:16:12 - The honest conclusion: impact exists, but remains subtle --- Sources & further reading: • Rice SMGT 430 (Scott Powers), assignments: (checked 2026-11-12): https://saberpowers.com/teaching/smgt430/ • Assis et al., NBA timeouts: (as cited in the project's timeout notes): https://arxiv.org/abs/2009.06750 • Project files: game-senser-fable/docs/lsa/ hw3 and timeouts folders, branch lsa-homework (read 2026-11-12) This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E461
    Yesterday · 13 min

    How Much Is Luck? What Is a Touch Worth?

    Joey completed two assignments from Rice's sports analytics course, adapted for elite beach volleyball. He locked in predictions before the data was touched, then the coding assistant tested them in R and Python against the results. Part 1 opens both sealed envelopes and explores what the predictions reveal about luck, defensive value, and the power of committing to answers before you see the data. 00:00:00 - The homework experiment begins 00:01:47 - Two sealed envelopes ready 00:05:00 - First assignment grade revealed 00:09:47 - Counting defensive skill value 00:13:16 - What sealed predictions revealed --- Sources & further reading: • Rice SMGT 430 (Scott Powers), assignments: (checked 2026-11-12): https://saberpowers.com/teaching/smgt430/ • Project files: game-senser-fable/docs/lsa/ hw1 and hw2 folders, branch lsa-homework (read 2026-11-12) This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E460
    Yesterday · 17 min

    The Prescribed Attack: Teaching Security Through Controlled Failure

    Organizations deliberately send millions of fake phishing emails to test their own employees—a practice grounded in the principle that the only way to build strength is to constantly test it. But the industry numbers don't match the academic reality. We explore the science of inoculation theory, the metaphor of prescribed burns, which training actually works, and where this methodology transforms other fields entirely. 00:00:00 - The Deliberate Deception: Why Companies Test Their People 00:03:21 - Inoculation Theory and Structural Pattern 00:11:24 - Embedded Training: The Real Impact 00:14:45 - Beyond Email: Texts, Calls, QR Codes 00:16:24 - Measured Results vs. Vendor Claims --- Sources & further reading: • Grant Ho et al. — "Understanding the Efficacy of Phishing Training in Practice" (IEEE S&P 2025): https://people.cs.uchicago.edu/~grantho/papers/oakland2025_phishing-training.pdf • Ferro et al. — "Sustaining Cyber Awareness: The Long-Term Impact of Continuous Phishing Training and Emotional Triggers" (arXiv, 2025): https://arxiv.org/html/2510.27298 • William J. McGuire — "The Effectiveness of Supportive and Refutational Defenses in Immunizing and Restoring Beliefs Against Persuasion" (Sociometry, 1961) — (original journal article) • KnowBe4 — "Q4 2025 Phishing Trends Report" (2026): https://www.knowbe4.com/press/knowbe4-releases-q4-2025-phishing-trends-report-highlighting-the-power-of-personalized-attacks • Rozema et al. — "Does Phishing Training Work? A Large-Scale Empirical Assessment" (SOUPS 2025): https://roze.ma/wp-content/uploads/2025/03/Rozema_SOUPS_25__Phish_Scale-.pdf • NEAIS 2025 — "When Training Backfires: A Behavioral Perspective on the Negative Effects of Phishing Simulation": https://aisel.aisnet.org/neais2025/23/ • Verizon — "2025 Data Breach Investigations Report" — (annual industry report) • Replication of McGuire (2024) — "Sixty Years Later: A Replication Study of McGuire's First Inoculation Experiment" (Journal of Media Psychology): https://econtent.hogrefe.com/doi/abs/10.1027/1864-1105/a000396 • Biddlestone et al. — "Tune in to the prebunking network! Development and validation of six inoculation videos" (Political Psychology, 2025): https://onlinelibrary.wiley.com/doi/full/10.1111/pops.70015 • arXiv — "Shots and Boosters: Exploring the Use of Combined Prebunking Interventions" (2025): https://arxiv.org/pdf/2505.07486 • Stanford Woods Institute — "Study shows controlled burns can reduce wildfire intensity and smoke pollution": https://woods.stanford.edu/news/study-shows-controlled-burns-can-reduce-wildfire-intensity-and-smoke-pollution • Team Rubicon — "Wildfire Mitigation Strategies Return to Their Roots": https://teamrubiconusa.org/news-and-stories/wildfire-mitigation-strategies-return-to-their-roots/ • RAND Corporation — "Wargaming: The Surprisingly Effective Tool That Can Help Us Prepare for Modern Crises" (Nov 2025): https://www.rand.org/pubs/commentary/2025/11/wargaming-the-surprisingly-effective-tool-that-can.html • FDIC Working Paper — "Stress Testing Banks: Whence and Whither?": https://www.fdic.gov/system/files/2024-07/2015-07.pdf • Bank for International Settlements — "The future of stress testing and the stress capital buffer" (2024): https://www.bis.org/review/r240911b.pdf • PhishGun — "Phishing Click Rate Benchmarks 2026": https://phishgun.com/blog/phishing-click-rate-benchmarks • StationX — "Phishing Statistics 2026": https://app.stationx.net/articles/phishing-statistics This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E459
    Yesterday · 18 min

    Peptides, Revisited: What Changed for BPC-157, and What Didn't

    This is Clown Cast's first revisit episode. Episode 118 looked at BPC-157 in June 2026; five months later the question came back, so we re-checked its research. What changed: one central legal claim from the original episode was wrong. An announced intention was reported as a done deal, and we repeated it. What didn't change: the core problem. The evidence for BPC-157 remains thin, the gaps remain wide, and the confidence floating around it remains hard to justify. This episode walks through what the advisory committee actually said, what "for research purposes only" really means when you buy a vial online, what we don't know about dosing, and why the demo level of evidence—healing a fresh cut in a young rat—doesn't get you to clinical use or prescribed treatment. 00:01:30 - The correction: what we got wrong 00:04:56 - What the advisory committee actually ruled on 00:06:46 - Why "research purposes only" is a legal fiction 00:10:21 - The dosing problem: how much, how often, for how long? 00:13:32 - What the evidence actually shows (demo level) 00:18:25 - How hype outruns evidence --- Sources & further reading: • Federal Register — Enforcement Discretion Policy Regarding 503A Compounding Using Certain Peptide Bulk Drug Substances (91 FR 68526, 2026-10-30): https://www.federalregister.gov/documents/2026/10/30/2026-22192/enforcement-discretion-policy-regarding-503a-compounding-using-certain-peptide-bulk-drug-substances • Federal Register — Pharmacy Compounding Advisory Committee; Notice of Meeting (91 FR 20465, 2026-04-16): https://www.federalregister.gov/documents/2026/04/16/2026-07361/pharmacy-compounding-advisory-committee-notice-of-meeting-establishment-of-a-public-docket-request • Arnold & Porter — HHS Announces Draft Enforcement Discretion Policy… (Nov 2026): https://www.arnoldporter.com/en/perspectives/advisories/2026/11/hhs-announces-draft-enforcement-discretion-policy-paving-way-for-pharmacies • McDermott Will & Schulte — PCAC backs majority of peptides in two-day public meeting: https://www.mcdermottlaw.com/insights/bulk-list-bound-pcac-backs-majority-of-peptides-in-two-day-public-meeting/ • DLA Piper — FDA AdComm recommends adding six peptides to bulk list (2026-07-31): https://www.dlapiper.com/en-lu/insights/publications/2026/07/fda-adcomm-recommends-adding-six-peptides-to-bulk-list • Healio — FDA committee recommends looser restrictions for several peptides (2026-07-24): https://www.healio.com/news/primary-care/20260724/fda-committee-recommends-looser-restrictions-for-several-peptides • Frier Levitt — FDA to Remove 12 Popular Peptides from the Category 2 "Do Not Compound" List: https://www.frierlevitt.com/articles/fda-peptides-do-not-compound-list-update-2026/ • Poolton, Minett, Kazmi — Human evidence for BPC-157 in orthopaedic and regenerative medicine: a systematic review (Acta Orthop Belg, 2026): https://pubmed.ncbi.nlm.nih.gov/42885452/ • Vasireddi et al. — Emerging Use of BPC-157 in Orthopaedic Sports Medicine: A Systematic Review (HSS Journal, 2025): https://pubmed.ncbi.nlm.nih.gov/40756949/ • Mayfield et al. — Injectable Peptide Therapy: A Primer for Orthopaedic and Sports Medicine Physicians (Am J Sports Med, 2026): https://pubmed.ncbi.nlm.nih.gov/41476424/ • Lee, Padgett — Intra-Articular Injection of BPC 157 for Multiple Types of Knee Pain (2021): https://pubmed.ncbi.nlm.nih.gov/34324435/ • Lee, Burgess — Safety of Intravenous Infusion of BPC157 in Humans: A Pilot Study (2025): https://pubmed.ncbi.nlm.nih.gov/40131143/ • Lee, Walker, Ayadi — Effect of BPC-157 on Symptoms in Patients with Interstitial Cystitis (2024): https://pubmed.ncbi.nlm.nih.gov/39325560/ • Perović et al. — BPC 157 can improve the healing course of spinal cord injury… in rats (J Orthop Surg Res, 2019): https://pubmed.ncbi.nlm.nih.gov/31266512/ • …and 5 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E458
    Yesterday · 20 min

    Unforbidden Death: How Communities Reclaim Mortality

    For most of human history, death happened at home. But Western institutions moved dying behind closed doors—hospitals, funeral homes, hidden from daily life. Now that's reversing. This episode explores how death doulas, green burials, death cafes, and secular communities are pulling mortality back into living rooms and forests, rebuilding ritual and community around death outside religious frameworks. Key moments: 00:00:00 - Death as a forgotten experience 00:01:47 - Jessica Mitford's critique of the funeral industry 00:03:29 - Why death rituals matter for survivors 00:08:35 - Pokémon Nuzlocke and permadeath 00:10:51 - COVID as an accelerant for change 00:14:14 - Green burial and secular alternatives 00:17:42 - Fermentation and the time rituals need --- Sources & further reading: • Philippe Ariès — Western Attitudes toward Death: From the Middle Ages to the Present (1974) • Caitlin Doughty / The Order of the Good Death — "History of the Death Positive Movement": https://www.orderofthegooddeath.com/history-of-death-positive-movement/ • Memorial Ecosystems — "Ramsey Creek Preserve History": https://www.memorialecosystems.com/ramsey_creek_preserve_history.html • Jessica Mitford — The American Way of Death (1963) / The American Way of Death Revisited (1998) • STAT News — "The end-of-life doula: Making smooth the paths of people on the journey to death" (March 2025): https://www.statnews.com/2025/03/12/end-of-life-doula-growing-use-of-caretaker-for-the-dying/ • Death Cafe — official site and gathering data: https://deathcafe.com • Forbes — "4 Reasons Career Demand For Death Doulas Is Surging" (Bryan Robinson, April 2026): https://www.forbes.com/sites/bryanrobinson/2026/04/29/4-reasons-career-demand-for-death-doulas-is-surging/ • NFDA — 2024 General Price List Study and 2024 Cremation & Burial Report — (industry report, not freely published) • Trilliant Health — "More Americans Are Dying at Home but Hospital-Based Deaths Remain Most Common": https://www.trillianthealth.com/market-research/studies/more-americans-dying-at-home-hospital-based-deaths-most-common • Haverford College — "How Katrina Spade '99 Made Human Composting a Real End-of-Life Option": https://www.haverford.edu/marketing-and-communications/news/katrina-spade-human-composting-recompose • GeekWire — "The greenest goodbye: Human composting and the science of becoming soil" (2026): https://www.geekwire.com/2026/the-greenest-goodbye-human-composting-and-the-science-of-becoming-soil/ • Green Matters — "What States Allow Human Composting in 2024?": https://www.greenmatters.com/big-impact/human-composting-states • Grist — "Green burial is a growing trend. Could it become the norm?": https://grist.org/fix/pollution/green-burial-forest-cemeteries/ • CNN — "Green burials are gaining ground and sparking backlash" (May 2026): https://www.cnn.com/2026/05/18/us/green-burials-natural-cemetery-hnk-dst/ • Jeff Greenberg, Sheldon Solomon, Tom Pyszczynski — The Worm at the Core: On the Role of Death in Life (2015) • Ernest Becker — The Denial of Death (1973) • San Francisco Examiner — "How The American Way of Death reshaped funeral industry": https://www.sfexaminer.com/news/public-health/how-the-american-way-of-death-reshaped-funeral-industry/article_404440c8-a500-11ee-baf9-b75dfb390cdc.html • Wikipedia — "Death Cafe": https://en.wikipedia.org/wiki/Death_Cafe • Stacker — "Rewilding death in the Appalachian mountains": https://stacker.com/stories/lifestyle/rewilding-death-appalachian-mountains • Recompose — "Human Composting": https://recompose.life/human-composting/ • Funeral Home Buyer — "The Death Care Industry: Market Landscape": https://funeralhomebuyer.org/guides/death-care-industry-landscape • SCI — SEC Form 8-K, Q1 2026 earnings release: https://www.sec.gov/Archives/edgar/data/0000089089/000008908926000031/exhibit991q126earningsrele.htm This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E457
    Wednesday · 17 min

    The Wrong Bike: Why Art Matters More Than Photos

    Why does tennis have iconic poster art while beach volleyball—one of the most visually stunning sports—doesn't? Tracing from Toulouse-Lautrec's rejected cycling poster to the heraldry principle that made vintage sports art work, this episode explores what happens when artists interpret sport instead of just documenting it. 00:00:00 - Why tennis has gorgeous art and beach volleyball has a JPEG 00:01:48 - Toulouse-Lautrec's rejected cycling poster 00:04:58 - The heraldry connection 00:08:29 - The legibility principle at competitive distance 00:13:41 - Generated images vs. artist intent 00:15:17 - Miró's Roland Garros posters 00:16:49 - The broader question --- Sources & further reading: • Montmartre Poster — "Roland-Garros Posters — Art Print History Since 1980": https://www.montmartreposter.com/en/journal/roland-garros-affiches • PBS SoCal / Artbound — "Endless Summer: How a Poster Shaped Surf Culture": https://www.pbssocal.org/shows/artbound/special/endless-summer-how-a-poster-shaped-surf-culture • Driehaus Museum — "Jules Chéret and the History of the Artistic Poster": https://driehausmuseum.org/blog/view/jules-cheret-and-the-history-of-the-artistic-poster • Roland Garros official site — "Three Emblematic Roland Garros Posters": https://www.rolandgarros.com/en-us/article/three-emblematic-roland-garros-posters • The Heritage Lab — "In (art) posters: the French Open": https://www.theheritagelab.in/art-posters-frenchopen/ • Inside the Games — "Looking back on the history of Olympic Games posters": https://www.insidethegames.biz/articles/1088743/a-history-of-the-olympic-poster • IOC reference document — "Olympic Summer Games Posters from Athens 1896 to Rio 2016": https://stillmed.olympic.org/media/Document%20Library/OlympicOrg/Factsheets-Reference-Documents/Games/Posters/Reference-document-OG-Posters-from-Athens-1896-to-Rio-2016.pdf • The Arts Society — "Become an instant expert on the art and design of the Olympic Games": https://theartssociety.org/arts-news-features/become-instant-expert-onthe-art-and-design-olympic-games • Tandfonline (academic) — "The cultural legacy of Olympic posters": https://www.tandfonline.com/doi/full/10.1080/17430431003650943 • Star Tribune — "Twin Cities Marathon posters marry art and athletics": https://www.startribune.com/twin-cities-marathon-weekend-2025-artists/601485647 • Laguna Art Museum — "Surf Culture: The Art History of Surfing": https://lagunaartmuseum.org/surf-culturethe-art-history-of-surfing • 99designs — "Surf Art: A Brief History of Surfing Design & Culture": https://99designs.com/blog/creative-inspiration/surf-art-history-surfing-design-culture/ • Club of the Waves — "Surf Art in Surfing Event Posters": https://clubofthewaves.com/feature/surf-art-in-surfing-event-posters/ • Smithsonian — "Original poster from The Endless Summer created by John Van Hamersveld": https://si.edu/object/original-poster-endless-summer-created-john-van-hamersveld:nmah_1761100 • Škoda We Love Cycling — "A Touch of the Past: Relive Old Memories with Vintage Tour de France Posters": https://www.welovecycling.com/wide/2017/09/20/touch-past-relive-old-memories-vintage-tour-de-france-posters/ • Volleyball World — "2026 Beach Pro Tour Tickets": https://en.volleyballworld.com/news/beach-pro-tour-2026-tickets • Volleyball World — "Netherlands to host FIVB Beach Volleyball World Championships 2027": https://en.volleyballworld.com/beachvolleyball/competitions/beach-volleyball-world-championships/news/it-s-confirmed-the-netherlands-is-set-to-host-fivb-beach-volleyball-world-championships-2027 • Antoninolavela.it — "Shepard Fairey: OBEY, Propaganda, Russian Constructivism and the Meaning of His Art": https://www.antoninolavela.it/2024/11/shepard-fairey-provocative-artist.html • Please Kill Me — "The Endless Summer of John Van Hamersveld, Artist and Puzzle Master": https://pleasekillme.com/john-van-hamersveld/ • …and 3 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E456
    Wednesday · 19 min

    Who Tests the Test?

    Peer review has been the cornerstone of scientific quality control for decades—but it's actually younger than rock and roll, and it's failing catastrophically. Joey examines the numbers: 36% of psychology studies fail to replicate, failed experiments get cited 150x more than successful rebuttals, and the filter keeps getting worse. This episode explores why Magic: The Gathering's Sealed Deck format is a better model, and what open peer review, post-publication review, and registered reports could actually fix. 00:00:00 - Peer review history and the replication crisis 00:01:41 - 36% of psychology studies fail to replicate 00:04:58 - Magic: The Gathering's Sealed Deck as a metaphor for systems 00:08:33 - Post-publication review: the model that could work 00:10:17 - Why open peer review fails against institutional gatekeepers 00:13:41 - What the speedrunning community got right about verification 00:15:24 - Institutional gatekeepers and why they won't budge --- Sources & further reading: • Melinda Baldwin — "In Referees We Trust?" — Physics Today (2018): https://physicstoday.aip.org/features/in-referees-we-trust • Anne M. Scheel, Mitchell R. M. J. Schijen, Daniël Lakens — "An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports" — Advances in Methods and Practices in Psychological Science (2021): https://research.tue.nl/en/publications/an-excess-of-positive-results-comparing-the-standard-psychology-l-2/ • Open Science Collaboration — "Estimating the Reproducibility of Psychological Science" — Science (2015) • Daniele Fanelli — "Positive results increase down the hierarchy of the sciences" — PLOS ONE (2010) • eLife Sciences — "eLife's New Model: One Year On" (2024): https://elifesciences.org/inside-elife/66d43597/elife-s-new-model-one-year-on • Kochetkov — "Peer Review at the Crossroads" — Learned Publishing (2026): https://onlinelibrary.wiley.com/doi/full/10.1002/leap.2046 • PLOS Blog — "Pioneering Approaches in Open Peer Review" (2025): https://theplosblog.plos.org/2025/09/pioneering-approaches-in-open-peer-review/ • Cheng, Yang, and Allen — paper mill retraction analysis via Retraction Watch Database (2024): https://retractionwatch.com/2025/08/04/fighting-coordinated-publication-fraud-is-like-emptying-an-overflowing-bathtub-with-a-spoon-study-coauthor-says/ • Pangram Labs / Pebblous AI — "When AI Reviews AI: 21% of ICLR 2026's 76,139 Peer Reviews Were AI-Generated": https://blog.pebblous.ai/report/iclr-2026-ai-peer-review-crisis/en/ • Xu and Waltman — "Streetlight Effect in Post-Publication Peer Review: Are Open Access Publications More Scrutinized?" (2023 preprint): https://arxiv.org/pdf/2311.04909 • Nature survey of 1,576 researchers on reproducibility (2016) • SciCampus — "Retraction Crisis 2026: AI Paper Mills and Fake Citations": https://scicampus.com/news/retraction-crisis-2026-ai-paper-mills-hallucinated-citations • Chambers and Tzavella — census of Registered Reports journals (2022): https://online.ucpress.edu/collabra/article/7/1/24404/117300/Opening-the-Door-to-Registered-Reports-Census-of • Sciopen — "Academic Community's Perceptions of Registered Reports" (2026): https://www.sciopen.com/article/10.16510/j.cnki.kjycb.20260526.001 • Springer/Scientometrics — "Scientific publishing without gatekeeping: an empirical investigation of eLife's new peer review process" (2025): https://link.springer.com/article/10.1007/s11192-025-05422-y • PubPeer Wikipedia entry: https://en.wikipedia.org/wiki/PubPeer • ResearchGate — "Public post-publication peer review needs due process" (2024): https://www.researchgate.net/publication/410988280_Public_post-publication_peer_review_needs_due_process_accountability_expertise_and_fairness_in_the_PubPeer_era • …and 2 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E455
    Wednesday · 16 min

    Green-Lipped Mussels and Hip Arthritis: What Science Says

    Somebody eats mussels off a beach for centuries, then a scientist in the 1970s notices a pattern. Fast forward to today: a $60 supplement bottle sits on the counter. We investigate whether GLX3—made from New Zealand green-lipped mussels—actually helps with hip arthritis and spinal stenosis. The evidence turns out to be messier than the marketing suggests. Tracing how tradition becomes supplement, examining what the research actually shows, and confronting the eternal question: when does real chemistry cross into sales that outrun receipts? 00:00:00 - The supplement pipeline speedrun 00:01:59 - Why coastal Māori communities had fewer arthritis cases 00:03:54 - How green-lipped mussels hit inflammation differently than fish oil 00:05:26 - What the actual clinical evidence says 00:07:19 - When trials contradict each other 00:10:59 - Glucosamine: the control for supplement questions 00:12:32 - What the assay report reveals 00:15:37 - The most common answer in supplement science --- Sources & further reading: • Stebbings S, Gray A, Schneiders AG, Sansom A — "A randomized double-blind placebo-controlled trial to investigate the effectiveness and safety of a novel green-lipped mussel extract -BioLex®- for managing pain in moderate to severe osteoarthritis of the hip and knee" (2017): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568208/ • 2026 RCT — "Efficacy and safety of green-lipped mussel powder supplementation in adults with knee osteoarthritis: a randomized, double-blind, placebo-controlled trial": https://link.springer.com/article/10.1186/s12906-026-05465-5 • Sheean PM et al. — "Green-lipped (greenshell) mussel (Perna canaliculus) extract supplementation in treatment of osteoarthritis: a systematic review" (2021): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298224/ • Doyle et al. — "A green-lipped mussel reduces pain behavior and chondrocyte inflammation and attenuated experimental osteoarthritis progression" (2021): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259130 • Sohn et al. — "A green-lipped mussel prevents rheumatoid arthritis via regulation of inflammatory response and osteoclastogenesis" (2023): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858385/ • Coulson S et al. — "Green-lipped mussel (Perna canaliculus) extract efficacy in knee osteoarthritis and improvement in gastrointestinal dysfunction: a pilot study" (2012): https://pubmed.ncbi.nlm.nih.gov/22366869/ • AAFP — "Lumbar Spinal Stenosis: Diagnosis and Management" (2024): https://www.aafp.org/afp/2024/0400/lumbar-spinal-stenosis • PMC — "Evidence-Based Review of Nonsurgical Treatments for Knee and Hip Osteoarthritis" (2024): https://pmc.ncbi.nlm.nih.gov/articles/PMC11184962/ • Cochrane — "Glucosamine for osteoarthritis": https://www.cochrane.org/evidence/CD002946_glucosamine-osteoarthritis • Healthline — "Green-Lipped Mussel: Benefits, Forms, and Effectiveness": https://www.healthline.com/nutrition/green-lipped-mussel • Wikipedia — "Perna canaliculus": https://en.wikipedia.org/wiki/Perna_canaliculus • Croft, John E. — "Nutrients for Health: The New Zealand Green-Lipped Mussel" (book) • Haka Life Nutrition (GLX3 manufacturer): https://www.hakalife.com/blogs/glx3 • JOSPT — "Hip Osteoarthritis: Revision 2025": https://www.jospt.org/doi/pdf/10.2519/jospt.2025.0301 • TL;DR for script planning: GLM has real anti-inflammatory chemistry (ETA is genuinely unique) and moderate evidence for osteoarthritis pain relief — but zero evidence for stenosis, the dose/formulation question is unresolved, and GLX3 specifically has never been clinically tested. The honest answer is: "plausible for hip arthritis pain, probably useless for stenosis, and the brand you're asking about hasn't been studied." The proven treatments are boring but effective: exercise, weight loss, NSAIDs, physical therapy. This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E454
    Tuesday · 16 min

    The Report Card: Touchstone and Fire Assay

    After seven episodes comparing a blocking project against university coursework and published research, the hosts tally the results. Strong on honesty and weak on estimation—the project reliably confirmed real patterns but underestimated their scale. They use assaying as a metaphor: the touchstone proves something real, fire assay measures how pure. The fix is to keep the rigor and add the statistical toolkit. 00:00:00 - Opening: Seven episodes of review 00:04:57 - The project testing its own test 00:08:17 - Crossed random effects 00:09:47 - Twenty-four amendments 00:13:07 - The Big Dig assignment 00:15:07 - Estimation and shrinkage 00:16:40 - Touchstone and chronometer everywhere --- Sources & further reading: • Scott Powers — SMGT 430 syllabus: https://saberpowers.com/teaching/smgt430/syllabus/latest.pdf • Scott Powers — SMGT 430 project assignment: https://saberpowers.com/teaching/smgt430/assignment/project.pdf • Scott Powers — Regression to the mean assignment: https://saberpowers.com/teaching/smgt430/assignment/regression_to_the_mean.pdf • Brady Detwiler and Scott Powers — The Big Dig: https://saberpowers.com/teaching/smgt430/assignment/the_big_dig.pdf • Scott Powers — Win probability assignment: https://saberpowers.com/teaching/smgt430/assignment/markov_chain_win_probability.pdf • Scott Powers — The Big Dance: https://saberpowers.com/teaching/smgt430/assignment/the_big_dance.pdf • Sameer Deshpande — Lecture 5, RAPM: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture05.html • Sameer Deshpande — Lecture 8, defensive credit and WAR: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture08.html • Sameer Deshpande — STAT 479 Project 1: https://skdeshpande91.github.io/stat479_fall2025/project1.html • Roback and Legler — Beyond Multiple Linear Regression, ch. 8: https://bookdown.org/roback/bookdown-BeyondMLR/ch-multilevelintro.html • Caldwell et al. — Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices (Sports Medicine 2020): https://osf.io/preprints/sportrxiv/fxe7a/ • Joseph Sill — Improved NBA Adjusted +/- Using Regularization and Out-of-Sample Testing (MIT Sloan 2010): https://sloansportsconference.com/research-papers/improved-nba-adjusted-using-regularization-and-out-of-sample-testing • da Costa et al. — Comparison and association of performance indicators ... in AVP women's beach volleyball (Frontiers in Sports and Active Living 2025): https://www.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2025.1584173/full • Pérez-Turpin et al. — Performance Indicators in Young Elite Beach Volleyball Players (Frontiers in Psychology 2019): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920118/ This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E453
    Tuesday · 14 min

    When Options Pay the Same: The Volleyball Math of Perfect Randomness

    In elite beach volleyball, attacking on second contact and the traditional pass-set-hit sequence produce nearly identical side-out rates: 68.46% versus 68.24%. Joey Musselman's volleyball project uncovered this pattern, and this episode explores why equal payoffs are significant—they signal both sides are playing optimally, a principle from decades of game-theory research in economics. The AI hosts built by his pipeline dig into predator-prey dynamics, strategic randomization, and the invisible optimization cycle between attackers and blockers at the world's elite level. 00:01:48 - Project findings on second-contact attacks 00:03:18 - Why equal payoffs indicate optimal play 00:06:32 - Predator-prey dynamics and strategy 00:08:15 - How elite teams adapt and respond 00:13:23 - Bringing the game-theory framework together --- Sources & further reading: • Scott Powers — Player Evaluation and In-Game Strategy (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/player_eval_ingame_strategy.pdf • Scott Powers — Markov Decision Processes (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/markov_decision_processes.pdf • Michael Lopez — Statistics in Sports (Skidmore), lecture list: https://github.com/statsbylopez/StatsSports • Ignacio Palacios-Huerta — Professionals Play Minimax (Review of Economic Studies, 2003; working paper 2001): https://ideas.repec.org/p/bro/econwp/2001-17.html • Mark Walker and John Wooders — Minimax Play at Wimbledon (American Economic Review, 2001): https://www.math.stonybrook.edu/~gaston/print/Old/WimbledonAER.pdf This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E452
    Tuesday · 14 min

    Underestimating the Fog

    Does clutch performance exist? Joey's test came back as 'can't tell'—and that distinction is everything. This episode explores Bill James' classic essay on why absence of evidence isn't evidence of absence, and what happens when your detector isn't sensitive enough. Sometimes the biggest finding is admitting what the fog won't let you see. 00:00:00 - Opening the sports analytics deep dive 00:01:39 - On signals and detection: why absence of signal isn't proof of nothing 00:03:18 - Mathletics and the state of sports measurement 00:04:53 - The conclusion: Can't tell 00:12:16 - Why the detection method failed: mesh too wide --- Sources & further reading: • Bill James — Underestimating the Fog (SABR Baseball Research Journal, 2004): https://sabr.org/journal/article/underestimating-the-fog/ • Winston, Nestler, Pelechrinis — Mathletics 2nd ed., contents ("Was Tony Perez a Great Clutch Hitter?"): https://books.google.com/books/about/Mathletics.html?id=L544EAAAQBAJ • Scott Powers — Player Evaluation and In-Game Strategy (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/player_eval_ingame_strategy.pdf • Scott Powers — Markov Chains and Win Probability (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/markov_chain_win_probability.pdf • Sameer Deshpande — Lecture 4, adjusted plus/minus (leverage quote): https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture04.html • Ferrante and Fonseca — On the winning probabilities and mean durations of volleyball (JQAS 2014): https://econpapers.repec.org/RePEc:bpj:jqsprt:v:10:y:2014:i:2:p:8:n:9 This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E451
    Tuesday · 14 min

    The Hot Hand Trap

    For thirty years, the hot hand fallacy was settled science: players don't get streaky, it's just randomness. But a 2018 discovery revealed a trap hiding in the original verdict—and when Joey tested it against volleyball blocking data, that same trap nearly broke the analysis three times over. This episode walks through the statistical illusion, what the blocking study found, and why intuition might catch things that numbers can't. 00:00:00 - The hot hand and why sports believes in streaks 00:01:51 - Breaking down the counterintuitive finding 00:03:26 - The blocking study asks the same question 00:06:29 - Do targeted hitters get blocked less as matches progress 00:08:10 - Two analysis approaches, no clear answers 00:09:50 - A third statistical trap appears 00:11:36 - Testing multiple methodologies 00:13:21 - The limits of seeing 'rattled' in raw data --- Sources & further reading: • Gilovich, Vallone, Tversky — The Hot Hand in Basketball: On the Misperception of Random Sequences (Cognitive Psychology, 1985): https://home.cs.colorado.edu/~mozer/Teaching/syllabi/7782/readings/gilovich%20vallone%20tversky.pdf • Joshua B. Miller and Adam Sanjurjo — Surprised by the Hot Hand Fallacy? A Truth in the Law of Small Numbers (Econometrica, 2018): https://arxiv.org/abs/1902.01265 • Winston, Nestler, Pelechrinis — Mathletics 2nd ed., contents ("Streakiness in Sports"): https://books.google.com/books/about/Mathletics.html?id=L544EAAAQBAJ This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E450
    Tuesday · 15 min

    What is a Block Worth? Measuring Change, Not Altitude

    A soft block wins 54% of rallies—but that's absolute altitude, not the elevation you actually gained. This episode explores how mountaineering math reveals why measuring outcomes misses what a play actually changed. Joey's project applies context-aware valuation to volleyball analytics, asking whether the frame that sports analytics has spent decades chasing is measuring the right thing. 00:00:00 - Episode Introduction 00:01:35 - The Soft Block Problem: Altitude vs. Impact 00:05:03 - The Mountaineering Metaphor 00:10:31 - Context Dependency: Why Position Changes Everything 00:13:53 - Open Questions and Rankings --- Sources & further reading: • Scott Powers — Markov Chains and Win Probability (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/markov_chain_win_probability.pdf • Scott Powers — Player Evaluation and In-Game Strategy (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/player_eval_ingame_strategy.pdf • Brady Detwiler and Scott Powers — The Big Dig (assignment): https://saberpowers.com/teaching/smgt430/assignment/the_big_dig.pdf • Sameer Deshpande — Lecture 6, run expectancy and run value: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture06.html • Sameer Deshpande — Lecture 7, offensive credit allocation: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture07.html • Sameer Deshpande — STAT 479 syllabus (executive summary rule): https://skdeshpande91.github.io/stat479_fall2025/syllabus.html • Miskin, Fellingham, Florence — Skill Importance in Women's Volleyball (JQAS 2010): https://econpapers.repec.org/RePEc:bpj:jqsprt:v:6:y:2010:i:2:n:5 This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E449
    Tuesday · 15 min

    The Matchup Problem: Why Your Stats Don't Mean What You Think

    Your blocking stats don't measure what you think they measure. In this third episode of our sports analytics series, we pick up from shrinkage and dive into three hidden sources of bias: the quality of opponents you face, the quality of teammates around you, and the person recording each stat. Using fighting game tier lists to explain strength of schedule, we explore how models like Bradley-Terry and WOWY can isolate what you actually contributed. 00:00:00 - Introduction and series context 00:01:31 - Fighting game matchup charts explained 00:09:25 - WOWY: isolating player impact 00:12:45 - Scorer bias and data recording 00:14:36 - Conclusion --- Sources & further reading: • Scott Powers — Bradley-Terry Model (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/bradley_terry_model.pdf • Scott Powers — Plus-Minus Models (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/plus_minus_models.pdf • Scott Powers — Regularized Regression (lecture notes): https://saberpowers.com/teaching/smgt430/lecture/regularized_regression.pdf • Scott Powers — The Big Dance (assignment): https://saberpowers.com/teaching/smgt430/assignment/the_big_dance.pdf • Sameer Deshpande — Lecture 4, adjusted plus/minus: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture04.html • Sameer Deshpande — Lecture 5, regularized adjusted plus/minus: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture05.html • Sameer Deshpande — Lecture 11, pitch framing: https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture11.html • Judge, Brooks, Pavlidis — Moving Beyond WOWY: A Mixed Approach To Measuring Catcher Framing (Baseball Prospectus, 2015): https://www.baseballprospectus.com/news/article/25514/moving-beyond-wowy-a-mixed-approach-to-measuring-catcher-framing/ • Deshpande and Wyner — A Hierarchical Bayesian Model of Pitch Framing (JQAS 2017): https://arxiv.org/abs/1704.00823 • Roback and Legler — Beyond Multiple Linear Regression, ch. 11 (college basketball referees): https://bookdown.org/roback/bookdown-BeyondMLR/ch-GLMM.html • Joseph Sill — Improved NBA Adjusted +/- Using Regularization and Out-of-Sample Testing (MIT Sloan 2010): https://sloansportsconference.com/research-papers/improved-nba-adjusted-using-regularization-and-out-of-sample-testing This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  • S1 · E448
    Tuesday · 17 min

    Five for Five: The Leaderboard's Perfect Lie

    A basketball player shoots 5 for 5 from three-point range—so they're a perfect shooter, right? Wrong. This episode explores regression to the mean, the statistical principle explaining why the highest leaderboard scores often reflect luck masquerading as talent. Using Civilization's Fog of War as a metaphor, Joey and his co-host examine how small samples lie while telling the truth, why the NBA's best field-goal percentages belong to one-shot wonders, and how statistical shrinkage paradoxically widens gaps between players. It's foundational sports analytics: the first lesson both university courses teach is to be suspicious of what you see too early. 00:00:00 - The Perfect Shot Paradox: Why 5 for 5 means almost nothing 00:04:54 - Testing Theory: Split-half reliability and the AI project 00:08:04 - Where University Courses Push Harder 00:11:20 - The Pull Effect: Watching a .400 shooter collapse to .294 00:14:31 - Shrinkage Reversal: Statistical Adjustment Increases the Gap 00:16:03 - First Lesson: Be Suspicious of Small Samples --- Sources & further reading: • Scott Powers — Regression to the Mean (lecture notes, SMGT 430): https://saberpowers.com/teaching/smgt430/lecture/regression_to_the_mean.pdf • Scott Powers — Pythagorean formula assignment (SMGT 430): https://saberpowers.com/teaching/smgt430/assignment/pythagorean_formula.pdf • Sameer Deshpande — Lecture 0, box-score metrics (STAT 479): https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture00.html • Sameer Deshpande — Lecture 9, multilevel modeling (STAT 479): https://skdeshpande91.github.io/stat479_fall2025/lectures/lecture09.html • Sameer Deshpande — STAT 479 Project 1: https://skdeshpande91.github.io/stat479_fall2025/project1.html • Bradley Efron and Carl Morris — Stein's Paradox in Statistics, Scientific American, May 1977: https://efron.ckirby.su.domains/other/Article1977.pdf • FanGraphs Sabermetrics Library — Sample Size: https://library.fangraphs.com/principles/sample-size/ • David Robinson — Understanding empirical Bayes estimation (using baseball statistics): http://varianceexplained.org/r/empirical_bayes_baseball/ • Michael Lopez — Lecture 8, Stein's paradox and hockey shooting (Skidmore): https://github.com/statsbylopez/StatsSports/blob/master/Lectures/Lecture-8.pdf This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

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