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(back to basics:) How is statistics relevant to scientific discovery?

Andrew Gelman · published 5 March 2019

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Elsewhere on statmodeling.stat.columbia.edu (5)
Bruised and battered, I couldn’t tell what I felt. I was ungeneralizable to myself. Read at the source ↗
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Pizzagate: The problem’s not with the multiple analyses, it’s with the selective reporting of results (and with low-quality measurements and lack of quality control all over, but that’s not the key part of the story) Read at the source ↗
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The time reversal heuristic (priming and voting edition) Read at the source ↗
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Also holding back progress are those who make mistakes and then label correct arguments as “nonsensical.” Read at the source ↗
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Discussion of effects of growth mindset: Let’s not demand unrealistic effect sizes. Read at the source ↗
statmodeling.stat.columbia.edu