Record · corpus.blog/posts/01a0d259-efb0-708f-a48f-ea78e6f0351b

Before reading this post, take a cold shower: A Stanford professor says it’s “great training for the mind”!

Andrew Gelman · published 8 July 2023

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https://pubmed.ncbi.nlm.nih.gov/36599485/

pubmed.ncbi.nlm.nih.gov

The “What does not kill my statistical significance makes it stronger” fallacy Read at the source ↗

statmodeling.stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/published/gregfrancis2.pdf

stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/unpublished/forking.pdf

stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/published/power5r.pdf

stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/published/retropower_final.pdf

stat.columbia.edu

Story time Read at the source ↗

statmodeling.stat.columbia.edu

Why do a within-person rather than a between-person experiment? Read at the source ↗

statmodeling.stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/unpublished/causal_quartets.pdf

stat.columbia.edu

https://www.stat.columbia.edu/~gelman/research/published/ChanceEthics10.pdf

stat.columbia.edu

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161749

journals.plos.org

https://militaryhealth.bmj.com/content/early/2023/01/03/military-2022-002237.long

militaryhealth.bmj.com

https://www.vyzkumodolnosti.cz/en/datasets

vyzkumodolnosti.cz

More on the piranha problem, the butterfly effect, unintended consequences, and the push-a-button, take-a-pill model of science Read at the source ↗

statmodeling.stat.columbia.edu

https://twitter.com/GidMK/status/1633318873352241152?t=SXIjixQmlpK3ywUdsQGr2w&s=19

twitter.com

https://hubermanlab.com/the-science-and-use-of-cold-exposure-for-health-and-performance/

hubermanlab.com

“Why We Sleep — a tale of institutional failure” Read at the source ↗

statmodeling.stat.columbia.edu

https://open.spotify.com/episode/13IFexsjKXWBBzXO22fvgb?si=Q4ipR67ITPq1vEaof17kag

open.spotify.com

Paper cited by Stanford medical school professor retracted—but even without considering the reasons for retraction, this paper was so bad that it should never have been cited. Read at the source ↗

statmodeling.stat.columbia.edu