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Error Statistics Philosophy
Personal blog · errorstatistics.commathphilosophyscience
Error Statistics Philosophy is a personal blog at errorstatistics.com about math, philosophy and science. Since 2015, 9 different Hacker News readers have linked it 16 times. It is still writing: the last post was on 2026-09-11, and you can follow it by feed.
Too few sampled comments (5) to say how often HN recommends it.?
Why HN links it
HN readers link Deborah Mayo's blog for its frequentist-side philosophy of statistics, covering p-values, the Bayesian debate and related critiques. Comments cite it as a source rather than judging it.
Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
What Hacker News says?
In my opinion books for practitioners is not the place for such discussions. Deborah's book might be poorly written, but if we want to go where the foundations of disagreements are we have to reach philosophy. Bayessian advocates are also often philosophers, like i.e. Jacob Feldman. From theoretical statisticians Larry Wasserman is more on the frequentist side. See for example his response on Deborah's blog [1]. But…
Comment linking /2013/12/27/deconstructing-larry-wasserman/
on “Statistical Rethinking (2022 Edition)”Submitted Response to the ASA’s Statement on p-Values as a story · 66 points
HN discussionFor reference, here's the spreadsheet with the screenshotted link [0], I've copy-pasted the climate change deniers and corresponding sources below. Anastasios Tsonis https://www.businessinsider.com/scientists-who-deny-climate-... Elliot D. Bloom https://www.independent.org/aboutus/person_detail.asp?id=403... Patrick J. Michaels https://climateinvestigations.org/patrick-michaels-climate-d... S. Stanley Young https://…
Comment linking /2014/12/13/s-stanley-young-are-there-mortality-co-benefits-to-the-clean-power-plan-it-depends-guest-post/
on “'Cancel Culture' Comes to Science?”Submitted The ASA controversy on P-values as illustration of difficulty of statistics as a story · 2 points
HN discussionRelevant, from Deborah Mayo. http://errorstatistics.com/2015/03/16/stephen-senn-the-pathe...
Comment linking /2015/03/16/stephen-senn-the-pathetic-p-value-guest-post/
on “P values are not as reliable as many scientists assume (2014)”Submitted The ASA's P-Value Campaign Is Doing More Harm Than Good as a story · 2 points
HN discussionLe Cam had interesting comments on Bayesian statistics. https://errorstatistics.com/2013/11/18/lucien-le-cam-the-bay...
Comment linking /2013/11/18/lucien-le-cam-the-bayesians-hold-the-magic/
on “The Bayesian Cringe (2021)”Submitted NAS: Please fix your defn of P-values as a story · 2 points
HN discussion> Bayesian methods are not easy to use, I agree. But that's because they're trying to answer much more meaningful (but harder) questions than frequentist ones I think this mainly shows how biased your view about the differences between Bayesian and Frequentist methods are. There is this rant I like from Larry Wasserman [1] on the subject: My opinions have shifted a bit. [...] Bayes-Frequentist debate still matters.…
Comment linking /2013/12/27/deconstructing-larry-wasserman/
on “If you think p-values are problematic, wait until you understand Bayes Factors”Submitted Big Data or Pig Data? (2013) as a story · 2 points
HN discussionThe ASA's P-value project: why it's doing more harm than good https://errorstatistics.com/2019/11/14/the-asas-p-value-proj...
Comment linking /2019/11/14/the-asas-p-value-project-why-its-doing-more-harm-than-good-cont-from-11-4-19/
on “P-value statements and their unintended(?) consequences”Submitted Philosophy of Inductive-Statistical Inference as a story · 1 points
HN discussionSubmitted Bad Stat Is Their Product as a story · 1 points
HN discussionSubmitted P-value statements and their unintended(?) consequences as a story · 1 points
HN discussionSubmitted P-value thresholds: forfeit at your peril as a story · 1 points
HN discussionSubmitted 2019 ASA guide on p-values: don't say what you dont mean-some recommendations/ as a story · 1 points
HN discussion
