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Too Odd (Not) to Be True? A Reply to Olsson

Bibliographic Data

ID11512151
AuthorsLuc Bovens (0000-0002-3937-1373, San Jose State University, corresponding author), Branden Fitelson (0000-0002-8847-220X, University of Konstanz), Stephan Hartmann (0000-0001-8676-2177, University of Konstanz), Josh Snyder (University of Konstanz)
Year2002
Volume53
Issue4
Pages539-563
Publication date2002-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueThe British Journal for the Philosophy of Science (JOURNAL)
Journal identifiersISSN: 0007-0882 • E-ISSN: 1464-3537
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1093/bjps/53.4.539
OpenAlexW2096042288
LanguageEN
Citations received10
References cited10

In ‘Corroborating Testimony, Probability and Surprise’, Erik J. Olsson ascribes to L. Jonathan Cohen the claims that if two witnesses provide us with the same information, then the less probable the information is, the more confident we may be that the information is true (C), and the stronger the information is corroborated (C*). We question whether Cohen intends anything like claims (C) and (C*). Furthermore, he discusses the concurrence of witness reports within a context of independent witnesses, whereas the witnesses in Olsson's model are not independent in the standard sense. We argue that there is much more than, in Olsson's words, ‘a grain of truth’ to claim (C), both on his own characterization as well as on Cohen's characterization of the witnesses. We present an analysis for independent witnesses in the contexts of decision‐making under risk and decision‐making under uncertainty and generalize the model for n witnesses. As to claim (C*), Olsson's argument is contingent on the choice of a particular measure of corroboration and is not robust in the face of alternative measures. Finally, we delimit the set of cases to which Olsson's model is applicable. 1 Claim (C) examined for Olsson's characterization of the relationship between the witnesses 2 Claim (C) examined for two or more independent witnesses 3 Robustness and multiple measures of corroboration 4 Discussion

Argument (complex analysis · Characterization (materials science · Context (archaeology · Epistemology · Linguistics · Robustness (evolution · Surprise · Witness · Epistemology, Ethics, and Metaphysics · History · Jury Decision Making Processes · Law, Economics, and Judicial Systems · Philosophy · Psychology · Social Psychology

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Unique citing works10
Citations per year0,42
Citation span2002 - 2020 (19)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 10

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