Can science correct its mistakes? Defenders of the self-corrective thesis answer
affirmatively, arguing that scientific method will refute false theories and find
closer approximations to the truth in the long run. In his talk, Felipe Romero will
discuss a plausible interpretation of this thesis in terms of frequentist statistics.
Using computer simulations, he will argue that such an interpretation is true only
under highly idealized social conditions that are hard to satisfy in scientific practice.
In particular, Romero will show how some features of the social organization of contemporary
science make the long run performance of frequentist statistics prone to a host of
biases and distortions. Finally, Romero will argue that attention to individual inference
methods alone is insufficient to guard against error in science, and scientific self-correction
should be understood as an interaction effect between inference methods and social
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