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It has long been known that the frequentist one-sided p-value from Null-Hypothesis Statistical Testing can be interpreted as a poor person’s Bayesian posterior probability.
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The LLM revolution fundamentally changes how many researchers do their work.
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A few years ago, my colleagues and I decided to test the Diaconis-Holmes-Montgomery (DHM) hypothesis that a fair coin, when flipped in the air and caught in the hand, tends to land on its starting side slightly more often than 50% (Diaconis, Holmes, & Mon…
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Before proceeding, I should say something about Richard Feynman.
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LT;DR In the current era of AI, there is no longer any excuse for manuscripts that contain typographical errors, grammatical errors, unclear formulations, errors in equations, incorrect references, missing references, and a demonstrated lack of awareness…
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Recently I was hunting for an epigraph to start a manuscript on the topic of forgetting.
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tl;dr: Bruss and Paindaveine did all of this already in December 2025, and better.
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On January 26th this year, Johnny van Doorn presented an hour-long tutorial lecture on “Theory and Practice of Bayesian Inference Using JASP”.
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For better or for worse, it appears that my most appreciated work is the children’s book Bayesian Thinking for Toddlers (the intro post is here and an exegesis is here).
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The statistical significance test was not invented by Ronald Fisher.