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Antonia Malchik's avatar

This was wonderful. I wish every scientist wrote like this! Love the phrase "sticky priors." I've always thought of them as axioms, or maybe that's related, but am switching to "sticky priors." Thank you for sharing this with us.

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jdnym's avatar

Thank you for this! Especially the section on unexpected or absent results, factoring in the supply and demand for different types of data and findings. That's a tough skill for lay people like me, but the essay handles it elegantly and practically. I try to put on my Bayes hat to weigh priors and new data, but sometimes it narrows my perspective. The essay gives such a great model for improvement.

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