Confirmation and the ordinal equivalence thesis

According to a widespread but implicit thesis in Bayesian confirmation theory, two confirmation measures are considered equivalent if they are ordinally equivalent—call this the “ordinal equivalence thesis” (OET). I argue that adopting OET has significant costs. First, adopting OET renders one incap...

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Main Author: Vassend, Olav B.
Other Authors: School of Humanities
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148744
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author Vassend, Olav B.
author2 School of Humanities
author_facet School of Humanities
Vassend, Olav B.
author_sort Vassend, Olav B.
collection NTU
description According to a widespread but implicit thesis in Bayesian confirmation theory, two confirmation measures are considered equivalent if they are ordinally equivalent—call this the “ordinal equivalence thesis” (OET). I argue that adopting OET has significant costs. First, adopting OET renders one incapable of determining whether a piece of evidence substantially favors one hypothesis over another. Second, OET must be rejected if merely ordinal conclusions are to be drawn from the expected value of a confirmation measure. Furthermore, several arguments and applications of confirmation measures given in the literature already rely on a rejection of OET. I also contrast OET with stronger equivalence theses and show that they do not have the same costs as OET. On the other hand, adopting a thesis stronger than OET has costs of its own, since a rejection of OET ostensibly implies that people’s epistemic states have a very fine-grained quantitative structure. However, I suggest that the normative upshot of the paper in fact has a conditional form, and that other Bayesian norms can also fruitfully be construed as having a similar conditional form.
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spelling ntu-10356/1487442021-05-06T02:50:41Z Confirmation and the ordinal equivalence thesis Vassend, Olav B. School of Humanities Humanities::Philosophy Bayesian Confirmation Measurement Theory According to a widespread but implicit thesis in Bayesian confirmation theory, two confirmation measures are considered equivalent if they are ordinally equivalent—call this the “ordinal equivalence thesis” (OET). I argue that adopting OET has significant costs. First, adopting OET renders one incapable of determining whether a piece of evidence substantially favors one hypothesis over another. Second, OET must be rejected if merely ordinal conclusions are to be drawn from the expected value of a confirmation measure. Furthermore, several arguments and applications of confirmation measures given in the literature already rely on a rejection of OET. I also contrast OET with stronger equivalence theses and show that they do not have the same costs as OET. On the other hand, adopting a thesis stronger than OET has costs of its own, since a rejection of OET ostensibly implies that people’s epistemic states have a very fine-grained quantitative structure. However, I suggest that the normative upshot of the paper in fact has a conditional form, and that other Bayesian norms can also fruitfully be construed as having a similar conditional form. 2021-05-06T02:50:41Z 2021-05-06T02:50:41Z 2017 Journal Article Vassend, O. B. (2017). Confirmation and the ordinal equivalence thesis. Synthese, 196(3), 1079-1095. https://dx.doi.org/10.1007/s11229-017-1500-2 0039-7857 https://hdl.handle.net/10356/148744 10.1007/s11229-017-1500-2 2-s2.0-85025811013 3 196 1079 1095 en Synthese © 2017 Springer Science+Business Media B.V. All rights reserved.
spellingShingle Humanities::Philosophy
Bayesian Confirmation
Measurement Theory
Vassend, Olav B.
Confirmation and the ordinal equivalence thesis
title Confirmation and the ordinal equivalence thesis
title_full Confirmation and the ordinal equivalence thesis
title_fullStr Confirmation and the ordinal equivalence thesis
title_full_unstemmed Confirmation and the ordinal equivalence thesis
title_short Confirmation and the ordinal equivalence thesis
title_sort confirmation and the ordinal equivalence thesis
topic Humanities::Philosophy
Bayesian Confirmation
Measurement Theory
url https://hdl.handle.net/10356/148744
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