Statistical Modeling (Andrew Gelman) statmodeling.stat.columbia.edu

Blogging’s a great way to express your ideas.

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“Assembling an unbiased jury”?

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“William Burroughs said that you should never trust anyone who looked the same from photo to photo”

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Survey Statistics: connections to experimental design

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Who cares when a research claim is found to be in error? Peer-reviewed journals do their best to deflect and dilute legitimate criticism.

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“The Story Paradox”

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Thank you, Perspectives on Psychological Science, for finally getting your act together.

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It’s . . . Orwellian!

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The mantra and mania of data sharing

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The War on Data, 2025 edition

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How will/should LLMs change how organizations do strategy?

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“Of all people who tied the knot 50 or more years ago, and who haven’t yet died, X percent have made it this far without divorcing or becoming widowed” . . . Wh...

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Aiming your gatling guns in the wrong direction. Shooting the messenger for something the messenger was never saying.

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Survey Statistics: Thomas Lumley writes about Interviewing your Laptop

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A suggestion for Freakonomics and Sean Carroll: Interview Nick Brown

statmodeling.stat.columbia.edu·37w·Hacker News

New instructor resources for Llaudet and Imai’s book, Data Analysis for Social Science

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What writing a failed rock-paper-scissors program taught me (or should have taught me) about sample size and uncertainty

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Chatbot still can’t handle tic-tac-toe

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My thoughts on L. A. Paul’s “Transformative Experience”

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The folk theorem of statistical computing: Fake-data simulation as posterior predictive checking

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