may you boldly go, sir, to the stars and beyond. ❤️

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this halloween, why not read up on the scariest topic of all (hierarchical Bayesian modeling)? 🦇🎃💀 I've got a new tutorial with @smfleming.bsky.social demonstrating the use of our R package hmetad! 📄: osf.io/preprints/ps... 🔗: metacoglab.github.io/hmetad_tutor... 📦: metacoglab.github.io/hmetad/

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Explicit measures of bias are much stronger predictors of discrimination than implicit measures An adversarial collaboration found that self-report measures of racial bias had greater predictive validity than indirect measures (45% vs 3% of variance) psycnet.apa.org/fulltext/202...

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I did a classic base rate neglect demo in class today. Half of the class did probabilities (Kahneman & Tversky, Bar-Hillel) and half did natural frequencies (Gigerenzer & Hoffrage). Remarkable replication: complete base rate neglect for probabilities and perfect Bayesians for frequencies.

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Just had the most lovely, affirming email from a retired senior academic and friend who had read a recent piece of mine and wanted to thank me for it. It’s such a lovely thing to do and has made my day.

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