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Record · corpus.blog/posts/01a0d267-ce37-70d7-afd9-4823bf686fe3

This is a wonderful graph, because it clearly reveals that . . .

Andrew Gelman · published 8 October 2021

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https://www.researchgate.net/publication/328811453_Forecasting_Elections_in_Multiparty_Systems_A_Bayesian_Approach_Combining_Polls_and_Fundamentals

researchgate.net

https://www.cambridge.org/core/journals/political-analysis/article/forecasting-elections-in-multiparty-systems-a-bayesian-approach-combining-polls-and-fundamentals/CA929544F672A09A0E34C5529EBFA482

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https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/MLYNX0

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Elsewhere on statmodeling.stat.columbia.edu (2)

https://statmodeling.stat.columbia.edu/2013/08/05/evidence-on-the-impact-of-sustained-use-of-polynomial-regression-on-causal-inference-a-claim-that-coal-heating-is-reducing-lifespan-by-5-years-for-half-a-billion-people/

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Any graph should contain the seeds of its own destruction Read at the source ↗

statmodeling.stat.columbia.edu