Hacker News
- Refuted papers continue to be cited more than their failed replications https://statmodeling.stat.columbia.edu/2024/03/10/refuted-papers-continue-to-be-cited-more-than-their-failed-replications-can-a-new-search-engine-be-built-that-will-fix-this-problem/ 34 comments
- The immediate victims of a con would rather act as if the con never happened https://statmodeling.stat.columbia.edu/2024/01/07/french-bio-lab-research-scandal/ 140 comments
- Clarke's Law, and who's to blame for bad science reporting https://statmodeling.stat.columbia.edu/2024/01/02/clarkes-law-and-whos-to-blame-for-bad-science-reporting/ 43 comments
- I disagree with Geoff Hinton regarding "glorified autocomplete" https://statmodeling.stat.columbia.edu/2023/11/18/i-disagree-with-geoff-hinton-regarding-glorified-autocomplete/ 265 comments
- A successful example of "adversarial collaboration" https://statmodeling.stat.columbia.edu/2023/10/16/a-successful-example-of-adversarial-collaboration-when-does-this-approach-work-and-when-does-it-not/ 40 comments
- What happened with HMOs? https://statmodeling.stat.columbia.edu/2023/09/05/what-happened-with-hmos-an-update/ 71 comments
- Example of the general issue of the importance of measurement in statistics https://statmodeling.stat.columbia.edu/2023/02/25/not-within-spitting-distance-challenges-in-measuring-ovulation-as-an-example-of-the-general-issue-of-the-importance-of-measurement-in-statistics/ 3 comments
- A baffling scale transform on a chart of university course selection trends https://statmodeling.stat.columbia.edu/2023/01/29/you-wish-youre-first-to-invent-this-scale-transform-50-xx-240-x-7/ 35 comments
- We found that almost no respondents currently report probabilistically https://statmodeling.stat.columbia.edu/2023/01/21/we-found-that-almost-no-respondents-currently-report-probabilistically-perhaps-more-surprisingly-most-respondents-who-claimed-to-report-probabilistically-in-fact-do-not/ 3 comments
- Fields where it matters, fields where you can thrive on BS alone, and in between https://statmodeling.stat.columbia.edu/2023/01/10/fields-where-it-matters-that-theres-no-there-there-fields-where-you-can-thrive-on-b-s-alone-and-everything-in-between/ 121 comments
- A homework question in someone’s 11th grade statistics class https://statmodeling.stat.columbia.edu/2022/12/06/a-homework-question-in-someones-11th-grade-statistics-class/ 258 comments
- Which one of these will be the biggest “unicorn” failure ever? https://statmodeling.stat.columbia.edu/2022/11/14/which-one-of-these-will-be-the-biggest-unicorn-failure-ever/ 187 comments
- Not Frequentist Enough https://statmodeling.stat.columbia.edu/2022/10/05/not-frequentist-enough/ 53 comments
- What’s the difference between Derek Jeter and preregistration? https://statmodeling.stat.columbia.edu/2022/09/12/whats-the-difference-between-derek-jeter-and-preregistration/ 26 comments
- “Is there a heuristic we might use to identify and flag questionable papers?” https://statmodeling.stat.columbia.edu/2022/08/26/is-there-any-heuristic-we-might-use-to-identify-wholly-inappropriate-stats-and-flag-questionable-papers/ 103 comments
- ML is not that good at predicting consumers' choices https://statmodeling.stat.columbia.edu/2022/07/21/predicting-consumers-choices-in-the-age-of-the-internet-ai-and-almost-perfect-tracking-some-things-change-the-key-challenges-do-not/ 217 comments
- I disagree with Turing and Kahneman regarding statistical evidence (2014) https://statmodeling.stat.columbia.edu/2014/09/03/disagree-alan-turing-daniel-kahneman-regarding-strength-statistical-evidence/ 77 comments
- Why I’m skeptical of “steelmanning” https://statmodeling.stat.columbia.edu/2022/04/28/the-challenge-of-bending-over-backward-to-see-things-from-the-other-persons-point-of-view/ 122 comments
- An accidental experiment that saved 700 lives https://statmodeling.stat.columbia.edu/2022/04/13/the-accidental-experiment-that-saved-700-lives/ 102 comments
- Open AI gets GPT-3 to work by hiring an army of humans to fix GPT’s bad answers https://statmodeling.stat.columbia.edu/2022/03/28/is-open-ai-cooking-the-books-on-gpt-3/ 139 comments
- A sequence that we see all the time in the world of junk science https://statmodeling.stat.columbia.edu/2022/03/18/the-spread-of-misinformation/ 82 comments
- Auto accidents and “isolation and disruption” https://statmodeling.stat.columbia.edu/2022/03/12/auto-accidents-and-isolation-and-disruption/ 101 comments
- The claimed effect size is about a zillion times higher than is plausible https://statmodeling.stat.columbia.edu/2022/02/07/the-claimed-effect-size-is-about-a-zillion-times-higher-than-is-plausible/ 61 comments
- Using Benford’s Law to Detect Bitcoin Manipulation https://statmodeling.stat.columbia.edu/2021/07/15/using-benfords-law-to-detect-bitcoin-manipulation/ 84 comments
- If you think psychological science is bad, imagine how bad it was in 1999 https://statmodeling.stat.columbia.edu/2021/06/16/wow-just-wow-if-you-think-psychological-science-as-bad-in-the-2010-2015-era-you-cant-imagine-how-bad-it-was-back-in-1999/ 228 comments
- “AI promised to revolutionize radiology but so far its failing” https://statmodeling.stat.columbia.edu/2021/06/07/ai-promised-to-revolutionize-radiology-but-so-far-its-failing/ 387 comments
- Causal Inference: The Mixtape https://statmodeling.stat.columbia.edu/2021/05/25/causal-inference-the-mixtape/ 4 comments
- Thinking fast, slow, and not at all https://statmodeling.stat.columbia.edu/2021/05/23/thinking-fast-slow-and-not-at-all-system-3-jumps-the-shark/ 8 comments
- Feeling like a pariah, even when you’re not https://statmodeling.stat.columbia.edu/2021/05/16/feeling-like-a-pariah-even-when-youre-not/ 67 comments
- EU proposing to regulate the use of Bayesian estimation https://statmodeling.stat.columbia.edu/2021/04/22/eu-proposing-to-regulate-the-use-of-bayesian-estimation/ 105 comments
- A new hot hand paradox https://statmodeling.stat.columbia.edu/2020/11/25/a-new-hot-hand-paradox/ 2 comments
- Coding and drawing https://statmodeling.stat.columbia.edu/2020/08/08/coding-and-drawing/ 42 comments
- Average Power: A Cautionary Note [pdf] https://statmodeling.stat.columbia.edu/wp-content/uploads/2020/08/avgpower.pdf 3 comments
- What’s Wrong with Bayes https://statmodeling.stat.columbia.edu/2019/12/03/whats-wrong-with-bayes/ 119 comments
- Let’s Publish Everything https://statmodeling.stat.columbia.edu/2019/05/29/lets-publish-everything/ 27 comments
- Does anyone know what template/platform this site is built on? https://statmodeling.stat.columbia.edu/ 4 comments webdev
- Using Benford’s Law to Detect Bitcoin Manipulation https://statmodeling.stat.columbia.edu/2021/07/15/using-benfords-law-to-detect-bitcoin-manipulation/ 16 comments technology
- EU proposing to regulate the use of Bayesian estimation https://statmodeling.stat.columbia.edu/2021/04/22/eu-proposing-to-regulate-the-use-of-bayesian-estimation/ 4 comments europe
- [D] Coronavirus age-specific fatality ratio, estimated using Stan, and (attempting) to account for underreporting of cases and the time delay to death. Now with data and code. https://statmodeling.stat.columbia.edu/2020/03/07/coronavirus-age-specific-fatality-ratio-estimated-using-stan/ 7 comments statistics
- “Widely cited study of fake news retracted by researchers" https://statmodeling.stat.columbia.edu/2019/07/10/widely-cited-study-of-fake-news-retracted-by-researchers/ 3 comments nottheonion
- “Widely cited study of fake news retracted by researchers” « The famous fake news study was itself fake news. https://statmodeling.stat.columbia.edu/2019/07/10/widely-cited-study-of-fake-news-retracted-by-researchers/ 3 comments nottheonion
Linking pages
- Reversals in psychology https://www.gleech.org/psych 47 comments
- Why We Sleep: a tale of institutional failure - Articles - Yngve Hoiseth https://yngve.hoiseth.net/articles/why-we-sleep-institutional-failure/ 28 comments
- Ye Olde Blogroll - Blogroll.org https://blogroll.org/ 1 comment
- Why We Sleep: a tale of institutional failure - Articles - Yngve Hoiseth https://yngve.hoiseth.net/why-we-sleep-institutional-failure/ 1 comment
- Building a Personal Research Library https://www.jacquescorbytuech.com/writing/building-personal-research-library 0 comments
- The unspoken rules of visualisation: (and when⦠| DataJournalism.com https://datajournalism.com/read/longreads/the-unspoken-rules-of-visualisation-and-when-to-break-them 0 comments