*FIRST ANNOUNCEMENT (after pandemic postponements!) Upcoming Conference/
Workshop in London*
- For more information, see our website: https://phil-stat-wars.com
- To get on our list for updates, and to ask questions, please write to:
Jean Miller at jemille6@vt.edu expressing interest with the subject line:
*INFO-The Statistics Wars and Their Casualties*.
- The conference will be held 22-23 September at the London School of
Economics, room to be assigned, the public is invited.
*The Statistics Wars**and Their Casualties*
*22-23 September 2022*
*London School of Economics (CPNSS)*
*Yoav Benjamini
*(Tel
Aviv University), *Alexander Bird*
(University
of Cambridge),
*Mark Burgman*
(Imperial
College London), *Daniele Fanelli*
(London
School of Economics and Political Science), *Roman Frigg
*(London
School of Economics and Political Science), *Stephan Guettinger
*
(London
School of Economics and Political Science), *David Hand*
(Imperial
College London), *Margherita Harris* (London School of Economics and
Political Science), *Christian Hennig*
(University
of Bologna), *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*: *Deborah Mayo and Roman Frigg*
*Logistics:* *Jean Miller*, *Margherita Harris*
*Contact person**:* *Jean Miller *
*We’d be grateful if you would share this announcement with interested
parties.*
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