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  1. Error statistics and learning from error: Making a virtue of necessity.Deborah G. Mayo - 1997 - Philosophy of Science 64 (4):212.
    The error statistical account of testing uses statistical considerations, not to provide a measure of probability of hypotheses, but to model patterns of irregularity that are useful for controlling, distinguishing, and learning from errors. The aim of this paper is (1) to explain the main points of contrast between the error statistical and the subjective Bayesian approach and (2) to elucidate the key errors that underlie the central objection raised by Colin Howson at our PSA 96 Symposium.
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  • Philosophical Scrutiny of Evidence of Risks: From Bioethics to Bioevidence.Deborah G. Mayo & Aris Spanos - 2006 - Philosophy of Science 73 (5):803-816.
    We argue that a responsible analysis of today's evidence-based risk assessments and risk debates in biology demands a critical or metascientific scrutiny of the uncertainties, assumptions, and threats of error along the manifold steps in risk analysis. Without an accompanying methodological critique, neither sensitivity to social and ethical values, nor conceptual clarification alone, suffices. In this view, restricting the invitation for philosophical involvement to those wearing a "bioethicist" label precludes the vitally important role philosophers of science may be able to (...)
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  • Severe tests, arguing from error, and methodological underdetermination.Deborah G. Mayo - 1997 - Philosophical Studies 86 (3):243-266.
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