Perspectives on Science 9 (1):59-77 (2001)

: Bayesians and error statisticians have relied heavily upon examples from physics in developing their accounts of scientific inference. The present essay demonstrates it is possible to analyze H.B.D. Kettlewell's classic study of natural selection from Deborah Mayo's error statistical point of view (Mayo 1996). A comparison with a previous analysis of this episode from a Bayesian perspective (Rudge 1998) reveals that the error statistical account makes better sense of investigations such as Kettlewell's because it clarifies how core elements in the design of experiments are used to minimize erroneous inferences rather than dwelling on whether the strategies used are reasonable
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DOI 10.1162/10636140152947795
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References found in this work BETA

Representing and Intervening.Ian Hacking - 1984 - British Journal for the Philosophy of Science 35 (4):381-390.
Experiment, Right or Wrong.Allan Franklin - 1990 - Cambridge University Press.
The Epistemology of Experiment. [REVIEW]Allan Franklin - 1984 - British Journal for the Philosophy of Science 35 (4):381-390.
A Logic of Induction.Colin Howson - 1997 - Philosophy of Science 64 (2):268-290.
Error Probabilities in Error.Colin Howson - 1997 - Philosophy of Science 64 (4):194.

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The Search for the Hematopoietic Stem Cell: Social Interaction and Epistemic Success in Immunology.Melinda B. Fagan - 2007 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 38 (1):217-237.
Calibration of Laboratory Models in Population Genetics.Robert A. Skipper - 2004 - Perspectives on Science 12 (4):369-393.
Observation Versus Experiment: An Adequate Framework for Analysing Scientific Experimentation?Saira Malik - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (1):71-95.

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