Philosophy of Science 89 (2):360-377 (2022)

Authors
Barry Ward
University of Arkansas, Fayetteville
Abstract
Simple random sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified random sampling model, yielding a better fit and apparently rehabilitating simple random sampling as a legitimate idealization. However, neither accommodates a second concern, the objection from potential bias. We develop a third model that crucially invokes causal considerations, yielding a novel resolution that handles both concerns. This approach resembles Inference to the Best Explanation (IBE) and relates the generalization’s confirmation to confirmation of an associated law. We give it an objective Bayesian formalization and discuss the compatibility of Bayesianism and IBE.
Keywords Raven Paradox  Simple Random Sampling  Stratified Random Sampling  Inference to the Best Explanation  Objective Bayesianism  Screening-Off Thesis (SOT)
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Reprint years 2022
DOI 10.1017/psa.2021.26
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References found in this work BETA

Laws and Symmetry.Bas C. Van Fraassen - 1989 - Oxford, England: Oxford University Press.
Inference to the Best Explanation.Peter Lipton - 2007 - Philosophy and Phenomenological Research 74 (2):421-423.
Laws and Symmetry.Bas C. van Fraassen - 1989 - Revue Philosophique de la France Et de l'Etranger 182 (3):327-329.
The Best Explanation: Criteria for Theory Choice.Paul R. Thagard - 1978 - Journal of Philosophy 75 (2):76-92.

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