“How a simple math error sparked a panic about black plastic kitchen utensils”: Does it matter when an estimate is off by a factor of 10?

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Harvard lexicon: “Kerfuffle” is what you call it when you completely botched your data but you don’t want to change your conclusions.

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Answering two questions, one about Bayesian post-selection inference and one about prior and posterior predictive checks

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Why am I willing to bet you $100-1000 there will be a Nobel Prize for Adaptive Experimentation in the next 40 years?

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Postdoc position at Northwestern on evaluating AI/ML decision support

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Bias remaining after adjusting for pre-treatment variables. Also the challenges of learning through experimentation.

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Close Reading Archive

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“I work in a biology lab . . . My PI proposed a statistical test that I think is nonsense. . .”

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“Of course, this could conceivably be a case of near unbelievable luck: A flawed analysis based on wrong assumptions gave an unusually large causal effect estim...

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“Of course, this could conceivably be a case of near unbelievable luck: A flawed analysis based on wrong assumptions gave an unusually large causal effect estim...

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New Course: Prediction for (Individualized) Decision-making

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Gayface Data Replicability Problems

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Michael Clayton in NYC

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Hey, journalist readers! Does anyone have a contact at NPR?

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Credit where due to NPR regarding science data fraud, and here’s how they can do even better

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4 different meanings of p-value (and how my thinking has changed)

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Toward a unified theory of bad science and bad scholarship

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Understanding p-values: Different interpretations can be thought of not as different “philosophies” but as different forms of averaging.

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Presidential campaign effects are small.

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The odd non-spamness of some spam comments

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