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perspectives on Deborah Mayo’s Statistics Wars

October 23, 2019

A few months ago, Andrew Gelman collated and commented the reviews of Deborah Mayo’s book by himself, Brian Haig, Christian Hennig, Art B. Owen, Robert Cousins, Stan Young, Corey Yanofsky, E.J. Wagenmakers, Ron Kenett, Daniel Lakeland, and myself. The collection did not make it through the review process of the Harvard Data Science Review! it […]

Deborah Mayo’s talk in Montréal (JSM 2013)

July 31, 2013

As posted on her blog, Deborah Mayo is giving a lecture at JSM 2013 in Montréal about why Birnbaum’s derivation of the Strong Likelihood Principle (SLP) is wrong. Or, more accurately, why “WCP entails SLP”. It would have been a great opportunity to hear Deborah presenting her case and I am sorry I am missing […]

modelling protocol in Nature

August 19, 2020

A three-page commentary in a recent issue of Nature is a manifesto for responsible modelling, with among the numerous signatories, Deborah Mayo.  (And Phillip Stark as the only statistician I spotted.) The main theme is that the model is not the real thing, e.g., the map is not the territory. Which as such is hardly […]

retire statistical significance [follow-up]

December 9, 2019

[Here is a brief update sent by my coauthors Valentin, Sander, and Blake on events following the Nature comment “Retire Statistical Significance“.] In the eight months since publication of the comment and of the special issue of The American Statistician, we are glad to see a rich discussion on internet blogs and in scholarly publications […]

Bertrand-Borel debate

May 6, 2019

On her blog, Deborah Mayo briefly mentioned the Bertrand-Borel debate on the (in)feasibility of hypothesis testing, as reported [and translated] by Erich Lehmann. A first interesting feature is that both [starting with] B mathematicians discuss the probability of causes in the Bayesian spirit of Laplace. With Bertrand considering that the prior probabilities of the different […]