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Absolutely 0 Evidence

Vieland, Veronica J and Seok, Sang-Cheol (2022) Absolutely 0 Evidence. In: UNSPECIFIED.

Absolutely zero evidence 2022 PhilSci Archive.pdf

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Statistical analysis is often used to evaluate the strength of evidence for or against scientific hypotheses. Here we consider evidence measurement from the point of view of representational measurement theory, focusing in particular on the 0-points of measurement scales. We argue that a properly calibrated evidence measure will need to count up from absolute 0, in a sense to be defined, and that this 0-point is likely to be something other than what one might have expected. This suggests the need for a new theory of statistical evidence in the context of which calibrated evidence measurement becomes tractable.

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Item Type: Conference or Workshop Item (UNSPECIFIED)
Vieland, Veronica Jvjv@mathmed.org0000-0002-3004-3840
Keywords: statistical evidence, measurement, absolute 0
Subjects: General Issues > Evidence
Depositing User: VJ Vieland
Date Deposited: 01 Sep 2022 16:59
Last Modified: 01 Sep 2022 16:59
Item ID: 21119
Subjects: General Issues > Evidence
Date: September 2022

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