the btrmt. lectures

Further reading·      The Scientific Ritual — the article this lecture is based on·      Problems with p-values — the technical companion: Fisher, Neyman-Pearson, the hybrid mess·      The trap of scientific evidence — on the “no evidence” tension and the homeopathy/parachute paradox·      Everything is ideology — science as one belief system among several·      In praise of the sage — other ways of knowing; the MD/PhD distinction·      Scientific fact — on what science actually does·      The value of ritual — ritual as a knowledge-production strategy·      Meditation — on the dinner-table meditation example·      Beyond System 1 and System 2 — on Kahneman’s dual-process framework·      The placebo effect — on why “works for some, not for others” is a feature, not a bug·      Grit — positive-psychology critique·      Overengineering calming down (lecture) — the broader positive-psychology audit·      Bias is good (lecture) — the cognitive-bias series·      Life is worse (lecture) — the previous episode; a worked example of reading a literatureReferencesThe replication crisis itself·      Open Science Collaboration (2015), Estimating the reproducibility of psychological science, Science 349 (6251)·      Wikipedia: replication crisis·      American Statistical Association: Wasserstein, Schirm & Lazar (2019), Moving to a World Beyond “p Statistical ritualism·      Gerd Gigerenzer (2018), Statistical Rituals: The Replication Delusion and How We Got There, Advances in Methods and Practices in Psychological Science·      Philip B. Stark & Andrea Saltelli (2018), Cargo-cult statistics and scientific crisis, Significance 15 (4)·      Andrew Gelman & Eric Loken (2014), The Statistical Crisis in Science — the “garden of forking paths” paper·      Andrew Gelman, Why I don’t like so-called Bayesian hypothesis testingp-values, Bayes factors, and software·      Wikipedia: p-value, Bayes factor·      Ronald A. Fisher (1925), Statistical Methods for Research Workers — where the 5% threshold appears as an illustrative example·      Harold Jeffreys (1939), Theory of Probability — where the Bayes-factor thresholds (BF > 3 substantial, BF > 10 strong) come from·      JASP — the open-source Bayesian statistics software with default priorsSpecific replication-crisis casualties·      Cuddy, Wilmuth & Carney (2010) original power posing paper; Carney’s later statement withdrawing support·      Hagger et al. (2016), A Multilab Preregistered Replication of the Ego-Depletion Effect·      Bargh, Chen & Burrows (1996) original elderly priming paper; failed Doyen et al. (2012) replication·      Brown, Sokal & Friedman (2013), The Complex Dynamics of Wishful Thinking — demolishing the 3:1 positivity ratio·      Carol Dweck, growth mindset — replication concerns documented in Sisk et al. (2018) and Bahník & Vranka (2017)·      Angela Duckworth, grit — meta-analytic critique in Credé, Tynan & Harms (2017)Books cited in the lecture·      Daniel Kahneman, Thinking, Fast and Slow·      Stephen J. Gould, Adam’s Navel and Other Essays·      Yann Martel, Life of Pi·      Bill Mollison, Permaculture: A Designer’s ManualOther·      Richard Dawkins on militant atheism (TED) — the “evidence vs. faith” framing·      Reform efforts: preregistration, open data, multi-lab replication consortia (e.g. ManyLabs) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit substack.btr.mt