One of the central roles I proposed for “stat activists” (after our recent workshop, The Statistics Wars and Their Casualties) is to critically scrutinize mistaken claims about leading statistical methods–especially when such claims are put forward as permissible viewpoints to help “the people” assess methods in an unbiased manner. The first act of 2023 under this umbrella concerns an article put forward as “statistics for the people” in a journal of radiation oncology. We are talking here about recommendations for analyzing data for treating cancer! Put forward as a fair-minded, or at least an informative, comparison of Bayesian vs frequentist methods, I find it to be little more than an advertisement for subjective Bayesian methods in favor of a caricature of frequentist error statistical methods. The journal’s “statistics for the people” section would benefit from a full-blown article on frequentist error statistical methods–not just the letter of ours they recently published–but I’m grateful to Chowdhry and other colleagues who joined me in this effort. You will find our letter below, followed by the authors’ response. You can also find a link to their original “statistics for the people” article in the references. Let me admit right off that my criticisms are a bit stronger than my co-authors. Continue reading
stat activist watch 2023

The Statistics Wars & Their Casualties
Blog links (references)
Reviews of Statistical Inference as Severe Testing (SIST)
- P. Bandyopadhyay (2019) Notre Dame Philosophical Reviews
- C. Hennig (2019) Statistical Modeling, Causal. Inference, and Social Science blog
- A. Spanos (2019) OEconomia: History, Methodology, Philosophy
- R. Cousins 2020 (Preprint)
- S. Fletcher (2020) Philosophy of Science
- B. Haig (2020) Methods in Psychology
- C. Mayo-Wilson (2020 forthcoming) Philosophical Review
- T. Sterkenburg (2020) Journal for General Philosophy of Science
Interviews & Debates on PhilStat (2020)
- The Statistics Debate!with Jim Berger, Deborah Mayo, David Trafimow & Dan Jeske, moderator (10/15/20)
- The Filter podcast with Matt Asher (11/23/20)
- Philosophy of Data Science Series Keynote Episode 1: Revolutions, Reforms, and Severe Testing in Data Science with Glen Wright Colopy (11/24/20)
- Philosophy of Data Science Series Keynote Episode 2: The Philosophy of Science & Statistics with Glen Wright Colopy (12/01/20)
Interviews on PhilStat (2019)
Top Posts & Pages
- S. Senn: Randomisation is not about balance, nor about homogeneity but about randomness (Guest Post)
- S. Senn: "Beta testing": The Pfizer/BioNTech statistical analysis of their Covid-19 vaccine trial (guest post)
- Spurious Correlations: Death by getting tangled in bedsheets and the consumption of cheese! (Aris Spanos)
- Little Bit of Logic (5 mini problems for the reader)
- David R. Cox Foundations of Statistics Award
- 2023 Captain's Biblio
- Stephen Senn: Randomization, ratios and rationality: rescuing the randomized clinical trial from its critics
- 2023 Phil 6014 Syllabus
- The AI/ML Wars: "explain" or test black box models?
- Can You change Your Bayesian prior? (ii)
Conferences & Workshops
RMM Special Topic
Mayo & Spanos, Error Statistics
My Websites
Recent Posts: PhilStatWars
THE STATISTICS WARS AND THEIR CASUALTIES VIDEOS & SLIDES FROM SESSIONS 3 & 4
Final session: The Statistics Wars and Their Casualties: 8 December, Session 4
SCHEDULE: The Statistics Wars and Their Casualties: 1 Dec & 8 Dec: Sessions 3 & 4
WORKSHOP
The Statistics Wars and Their Casualties Videos & Slides from Sessions 1 & 2
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