What really defies common sense (Msc kvetch on rejected posts)

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)
Top Posts & Pages
- April 22 "How an information metric could bring truce to the statistics wars" (Daniele Fanelli)
- Falsifying claims of trust in bat coronavirus research: mysteries of the mine (i)-(iv)
- The NEJM Issues New Guidelines on Statistical Reporting: Is the ASA P-Value Project Backfiring? (i)
- A. Spanos: Jerzy Neyman and his Enduring Legacy (guest post)
- Intellectual conflicts of interest: Reviewers
- Neyman's Nursery (NN2): Power and Severity [Continuation of Oct. 22 Post]:
- Hardwicke and Ioannidis, Gelman, and Mayo: P-values: Petitions, Practice, and Perils (and a question for readers)
- Performance or Probativeness? E.S. Pearson's Statistical Philosophy
- Mayo Pubs
- Frequentists in Exile
Conferences & Workshops
Interviews on PhilStat (2019)
RMM Special Topic
Mayo & Spanos, Error Statistics
My Websites
Recent Posts: PhilStatWars
April 22 “How an information metric could bring truce to the statistics wars” (Daniele Fanelli)
March 25 “How should applied science journal editors deal with statistical controversies?” (Mark Burgman)
February 18 “Testing with models that are not true” (Christian Hennig)
January 28 “How can we improve replicability” (Alexander Bird)
January 7: “Putting the Brakes on the Breakthrough: On the Birnbaum Argument for the Strong Likelihood Principle” (D.Mayo)
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