Dear Cambridge Philosophers of Science,

Tomorrow (Wednesday) is the second meeting for CamPoS, which returns to 
its usual time of 1 p.m. in the HPS department in seminar room 2 in the 
basement.  HPS's own Jacob Stegenga (co-author Zoë Hitzig of Harvard) 
will present 'The Perils of P-Hacking and the Promise of Pre-Analysis 
Plans'.  Their abstract is below.

Sincerely,
J. Brian Pitts

Abstract:
P-hacking involves the manipulation of data to find a statistically 
significant result. Many claim that p-hacking is a problem in science, 
especially in the medical and social sciences, while others deny this. 
The problem with p-hacking is usually articulated from a frequentist 
perspective. In this paper we articulate the epistemic peril of 
p-hacking using Bayesian confirmation theory and model selection theory, 
which we then draw on to explain the arguments on both sides of the 
debate. This requires a novel understanding of Bayesianism, since a 
standard criticism of Bayesian confirmation theory is that it cannot 
accommodate the influence of biased methods. A methodological device 
widely used to mitigate the peril of p-hacking is a pre-analysis plan. 
Some say that following a pre-analysis plan is epistemically meritorious 
while others deny this, and in practice pre-analysis plans are often 
violated. We use the formal groundwork developed earlier in the paper to 
resolve this debate, offering a modest defence of the use of 
pre-analysis plans. In the longer run our ambition is to use this 
approach to make sense of scenarios in which scientists depart from 
pre-analysis plans.



-- 
J. Brian Pitts
Senior Research Associate
Faculty of Philosophy
University of Cambridge
jb...@cam.ac.uk

Ph.D., Philosophy/History & Philosophy of Science, University of Notre 
Dame
Ph.D., Physics, University of Texas at Austin


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