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Can Error-Statistical Inference Function Securely?

Staley, Kent (2007) Can Error-Statistical Inference Function Securely? In: [2007] LSE-Pitt Conference: Confirmation, Induction and Science (London, 8 - 10 March, 2007).

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    Abstract

    This paper analyzes Deborah Mayo's error-statistical (ES) account of scientific evidence in order to clarify the kinds of "material postulates" it requires and to explain how those assumptions function. A secondary aim is to explain and illustrate the importance of the security of an inference. After finding that, on the most straightforward reading of the ES account, it does not succeed in its stated aims, two remedies are considered: either relativize evidence claims or introduce stronger assumptions. The choice between these approaches turns on the value attached to two aims of inquiry that are in tension: drawing strong, informative conclusions and reasoning securely.


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    Item Type: Conference or Workshop Item (UNSPECIFIED)
    Keywords: evidence severity plausibility error-statistics security
    Subjects: General Issues > Confirmation/Induction
    Conferences and Volumes: [2007] LSE-Pitt Conference: Confirmation, Induction and Science (London, 8 - 10 March, 2007)
    Depositing User: Kent Staley
    Date Deposited: 01 Mar 2007
    Last Modified: 07 Oct 2010 11:14
    Item ID: 3197
    URI: http://philsci-archive.pitt.edu/id/eprint/3197

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