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Regression discontinuity analysis is often a disaster. So what should you do instead? Here’s my recommendation:

Andrew Gelman · published 11 March 2021

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https://statmodeling.stat.columbia.edu/2020/01/09/no-i-dont-think-that-this-study-offers-good-evidence-that-installing-air-filters-in-classrooms-has-surprisingly-large-educational-benefits/
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https://statmodeling.stat.columbia.edu/2020/12/27/does-regression-discontinuity-or-more-generally-causal-identification-statistical-significance-make-you-gullible/
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The incentives are all wrong (causal inference edition) Read at the source ↗
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