Meeting 1 (May 21)


I. (May 21)  Introduction: Controversies in Phil Stat  


SIST*: Preface, Excursion 1
Excursion 1 Tour I

Excursion 1 Tour II

*Note: The above are from proofs, participants should have a copy of the book

NOTES on Excursion 1

Please ask any questions from the First Meeting in the comments of this blog.

General Info Items:  

-References: Captain’s Bibliography

Souvenirs  Meeting 1: Souvenir A Postcard to Send, Souvenir B Likelihood versus Error Statistical, Souvenir C A Severe Tester’s Translation Guide, Souvenir D Why We Are So New

-Summaries of 16 Tours (abstracts & keywords)

Excerpts & Mementos on Error Statistics Philosophy Blog

Slides & Video Links for Meeting 1:

Slides: (PDF)

Intro video from July 28, 2019
(Viewing in full screen mode helps with buffering issues.)

LSE Research Seminar PH500 21 May – 25 June, 2020


 General Schedule  PDF


Topic: Current Controversies in Phil Stat (LSE, Remote 15:00 – 17:00; Thursdays 21 May-18 June)

Main Text SIST: Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars CUP, 2018)*:

Slides for each meeting will be on individual meeting posts on this blog.

I. (May 21)  Introduction: Controversies in Phil Stat: [Meeting 1 Blog Post; Slides: (PDF)]

SIST*: Preface, Excursion 1

Excursion 1 Tour I
Excursion 1 Tour II

*Note: The above are from proofs, participants have a copy of the book  Notes/Outline of Excursion 1 Postcard

II. (May 28) N-P and Fisherian Tests, Severe Testing: [Meeting 2 Blog Post; Meeting #2 Main slides (PDF) & Supplemental slides (Likelihoodist vs. Significance Tester w/ Bernoulli Trials) (PDF)]

SIST: Excursion 3 Tour I (focus on pages up to p. 152):

Recommended: Excursion 2 Tour II pp. 92-100

Optional: I will (try to) answer questions on demarcation of science, induction, falsification, Popper from Excursion 2 Tour II

HandoutAreas Under the Standard Normal Curve

III. (June 4) Deeper Concepts: Confidence Intervals and Tests: Higgs’ Discovery: [Meeting 3 Blog Post; Slides (PDF)]

SIST: Excursion 3 Tour III
(Strongly) Recommended (as much as interests you) Excursion 3 Tour II: It’s the Methods Stupid: Howlers and Chestnuts of Tests

IV. (June 11) Rejection Fallacies: Do P-values exaggerate evidence? Jeffreys-Lindley paradox or Bayes/Fisher disagreement: [Meeting 4 Blog Post; Slides: (PDF)]

SIST: Excursion 4 Tour II

Recommended (if time): Excursion 4 Tour I: The Myth of “The Myth of Objectivity”


V. (June 18) The Statistics Wars and Their Casualties: [Meeting 5 Blog Post; Draft Slides (PDF)]

SIST: Excursion 4 Tour III pp. 267-286; Farewell Keepsake pp. 436-444.  

-Amrhein, V., Greenland, S., & McShane, B., (2019). Comment: Retire Statistical Significance, Nature, 567: 305-308.

-Ioannidis J. (2019). “The Importance of Predefined Rules and Prespecified Statistical Analyses: Do Not Abandon Significance.” JAMA. 321(21): 2067–2068. doi:10.1001/jama.2019.4582

-Mayo, DG. (2019), P‐value thresholds: Forfeit at your peril. Eur J Clin Invest, 49: e13170. doi: 10.1111/eci.13170

Recommended (and fun) P-values on Trial: Selective Reporting of (Best Practice Guides Against) Selective Reporting


VI. (June 25) BONUS MEETING: Power, shpower, severity, positive predictive value (diagnostic model) & a Continuation of The Statistics Wars and Their Casualties: [Meeting 6 Blog Post; Mayo Slides (PDF) & Hand Slides (recorded power point)]

There will also be a guest speaker: Professor David Hand: “Trustworthiness of statistical analysis” (abstract).

SIST Excursion 5 Tour I (pp. 323-332; 338-344; 346-352),Tour II (pp. 353-6; 361-370), and

Recommended: What Ever Happened to Bayesian Foundations (Excursion 6 Tour I)


Information Items for SIST

-References: Captain’s Bibliography


-Summaries of 16 Tours (abstracts & keywords)

Excerpts & Mementos on Error Statistics Philosophy Blog (I will link to items from excerpted proofs for interested blog followers as we proceed)

-SEV apps: Richard Morey. Newly updated Richard Morey SEV app.

-SIST Errata

DELAYED: JUNE 19-20 Workshop: The Statistics Wars and Their Casualties



The Statistics Wars
and Their Casualties

19-20 June 2020 Delayed (a covid 19 casualty)

London School of Economics (CPNSS)

Alexander Bird (King’s College London), Mark Burgman (Imperial College London),
Daniele Fanelli (London School of Economics and Political Science),
Roman Frigg (London School of Economics and Political Science),
David Hand (Imperial College London), Christian Hennig (University of Bologna), Katrin Hohl (City University London), Daniël Lakens (Eindhoven University of Technology), Deborah Mayo (Virginia Tech), Richard Morey (Cardiff University),
Stephen Senn (Edinburgh, Scotland), Jon Williamson (University of Kent)*

While the field of statistics has a long history of passionate foundational controversy the last decade has, in many ways, been the most dramatic. Misuses of statistics, biasing selection effects, and high powered methods of Big-Data analysis, have helped to make it easy to find impressive-looking but spurious, results that fail to replicate. As the crisis of replication has spread beyond psychology and social sciences to biomedicine, genomics and other fields, people are getting serious about reforms.  Many are welcome (preregistration, transparency about data, eschewing mechanical uses of statistics); some are quite radical. The experts do not agree on how to restore scientific integrity, and these disagreements reflect philosophical battles–old and new– about the nature of inductive-statistical inference and the roles of probability in statistical inference and modeling. These philosophical issues simmer below the surface in competing views about the causes of problems and potential remedies. If statistical consumers are unaware of assumptions behind rival evidence-policy reforms, they cannot scrutinize the consequences that affect them (in personalized medicine, psychology, law, and so on). Critically reflecting on proposed reforms and changing standards requires insights from statisticians, philosophers of science, psychologists, journal editors, economists and practitioners from across the natural and social sciences. This workshop will bring together these interdisciplinary insights–from speakers as well as attendees.

Organizers: D. Mayo and R. Frigg

Logistician (chief logistics and contact person): Jean Miller 

*We expect one or more additional participants