The Statistics Wars
and Their Casualties

Delayed (from 19-20 June 2020*) is now a monthly remote forum** 

*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.

Workshop OrganizersD. Mayo and R. Frigg

Logistician (chief logistics and contact person): Jean Miller 

**FORUM: This will be both a continuation of our LSEPH500 Seminar and a link to our delayed (but future) workshop. For information about how to join, see this pdf

For an explanation about the meaning of statistical crises and their casualties see here.

Past & Future Meetings:

[For information about how to join, see this pdf]

August 20, 2020 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT): Professor Daniël Lakens (Eindhoven University of Technology (mini-bio)) “Preregistration as a Tool to Evaluate the Severity of a Test”. (For slides, recording & readings from this meeting, see this post.)

September 24, 2020 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT):  Professor Richard Morey (Cardiff University (mini-bio)). “Bayes factors from all sides: who’s worried, who’s not, and why”. (For slides, recording & readings from this meeting, see this post.)

October 15, 2020. Statistics (P-value) Debate. Sponsored by the National Institute of Statistical Science: https://www.niss.org/events/statistics-debate. (For a recording, see this article.)

November 19, 2020 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT): Stephen Senn (Statistical Consultant, Scotland (mini-bio)).“Randomisation and control in the age of coronavirus?” (Abstract)

December 17, 2020 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT): D. Mayo (Philosophy, Virginia Tech (mini-bio)) TBA but might do a long promised talk on Birnbaum and the Likelihood Principle.

January 28, 2021 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT): Alexander Bird (Philosophy, King’s College London,Bertrand Russell Professor, University of Cambridge (mini-bio)). TBA

February 18, 2021 (15:00-16:45 (London); 10-11:45 a.m. (New York) EDT)Christian Hennig (Statistics, University of Bologna (mini-bio)). TBA

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