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175Error statistics and learning from error: Making a virtue of necessityPhilosophy of Science 64 (4): 212. 1997.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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480Ducks, Rabbits, and Normal Science: Recasting the Kuhn’s-Eye View of Popper’s Demarcation of ScienceBritish Journal for the Philosophy of Science 47 (2): 271-290. 1996.Kuhn maintains that what marks the transition to a science is the ability to carry out ‘normal’ science—a practice he characterizes as abandoning the kind of testing that Popper lauds as the hallmark of science. Examining Kuhn's own contrast with Popper, I propose to recast Kuhnian normal science. Thus recast, it is seen to consist of severe and reliable tests of low-level experimental hypotheses (normal tests) and is, indeed, the place to look to demarcate science. While thereby vindicating Kuh…Read more
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114Severe tests, arguing from error, and methodological underdeterminationPhilosophical Studies 86 (3): 243-266. 1997.
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80An error in the argument from conditionality and sufficiency to the likelihood principleIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 305. 2009.
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51Philosophy of Science AssociationIn Richard Boyd, Philip Gasper & J. D. Trout (eds.), The Philosophy of Science, Mit Press. pp. 58--4. 1991.
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78Learning from error, severe testing, and the growth of theoretical knowledgeIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 28. 2009.
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