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What Accuracy Could Not Be

Bibliographic Data

ID8399160
AuthorsGraham Oddie (0000-0002-9934-246X, University of Colorado Denver, corresponding author)
Year2019
Volume70
Issue2
Pages551-580
Publication date2019-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe British Journal for the Philosophy of Science (JOURNAL)
Journal identifiersISSN: 0007-0882 • E-ISSN: 1464-3537
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/bjps/axx032
OpenAlexW2620827000
LanguageEN
Citations received17
References cited21

Two different programmes are in the business of explicating accuracy—the truthlikeness programme and the epistemic utility programme. Both assume that truth is the goal of inquiry, and that among inquiries that fall short of realizing the goal some get closer to it than others. Truthlikeness theorists have been searching for an account of the accuracy of propositions. Epistemic utility theorists have been searching for an account of the accuracy of credal states. Both assume we can make cognitive progress in an inquiry even while falling short of the target. I show that the prospects for combining these two programmes are bleak. A core accuracy principle, proximity, that is universally embraced within the truthlikeness programme turns out to be incompatible with a central principle within the epistemic utility programme, namely propriety. 1. Truthlikeness and Epistemic Utility2. Inquiries3. Accuracy for Propositions4. Proximity5. Accuracy for Credal States6. Propriety7. Proximity for Credal States8. Extensionality9. Admissible Weightings10. Propriety Violates Proximity11. Possible Responses 11.1. Retreat to convexity11.2. Reject boundedness11.3. Reject additivity12. The Upshot

Core (optical fiber) · Epistemology · Computer Science · Epistemology, Ethics, and Metaphysics · Philosophy · Philosophy and History of Science · Philosophy and Theoretical Science

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    Erin Beeghly•Social Theory and Practice•2021

  • Truthlikeness and the inclusion fallacy

    Gustavo Cevolani, Davide Coraci et al.•Thinking & Reasoning•2025

  • Is A Little Learning Dangerous

    Open Access•Bernhard Salow•Noûs•2026

  • Headaches for epistemologists

    Open Access•Bruce Talbot, Brian Talbot•Philosophy and Phenomenological…•2021

  • Good Guesses

    Open Access•Kevin Dorst, Matthew Mandelkern•Philosophy and Phenomenological…•2021

  • Veritism refuted? Understanding, idealization, and the facts

    Open Access•Tamer Nawar•Synthese•2021

  • Propositional and credal accuracy in an indeterministic world

    Open Access•Graham Oddie•Synthese•2021

  • Truthlikeness for probabilistic laws

    Open Access•Alfonso García-Lapeña•Synthese•2021

  • Approaching probabilistic truths

    Open Access•Ilkka Niiniluoto, Gustavo Cevolani et al.•Synthese•2022

  • Approaching deterministic and probabilistic truth

    Open Access•Gustavo Cevolani, Roberto Festa•Synthese•2021

  • Accuracy, conditionalization, and probabilism

    Open Access•Peter J Lewis, Don Fallis•Synthese•2021

  • Approaching probabilistic laws

    Open Access•Ilkka Niiniluoto•Synthese•2021

  • Scoring, truthlikeness, and value

    Open Access•Igor Douven•Synthese•2021

  • New Semantics for Bayesian Inference

    Open Access•Olav Benjamin Vassend•Philosophy of Science•2019

  • A Note on Verisimilitude and Accuracy

    Randall G Mccutcheon•The British Journal for the…•2023

  • Accuracy and Verisimilitude

    Open Access•Miriam Schoenfield•The British Journal for the…•2022

  • Bayesians Too Should Follow Wason

    Filippo Vindrola, Vincenzo Crupi•The British Journal for the…•2024

  • Probability and Evidence

    Open Access•Paul Horwich•Probability and evidence•2016

  • Accuracy and the Laws of Credence

    Richard Pettigrew•Accuracy and the Laws of Credence•2016

  • Conjectures and Refutations

    Karl Popper, Melitta Mew et al.•Conjectures and Refutations•2014

  • Truthlikeness

    Open Access•Ilkka Niiniluoto•Truthlikeness•1987

  • Justifying Conditionalization

    Hilary Greaves, David Wallace•Mind•2006

  • Twilight Of The Perfect Model Model

    Open Access•Paul Teller•Erkenntnis•2001

  • Elicitation of Personal Probabilities and Expectations

    Leonard J Savage•Journal of the American…•1971

  • Knowledge in a Social World

    Alvin I Goldman•Knowledge in a Social World•1999

  • Naive and refined truth approximation

    Open Access•Theo A F Kuipers•Synthese•1992

  • Inductive inconsistencies

    Open Access•Carl G Hempel•Synthese•1960

  • The content, consequence and likeness approaches to verisimilitude

    Open Access•Graham Oddie•Synthese•2013

  • A Nonpragmatic Vindication of Probabilism

    Open Access•James M Joyce•Philosophy of Science•1998

  • An Objective Justification of Bayesianism I

    Open Access•Hannes Leitgeb, Richard Pettigrew•Philosophy of Science•2010

  • Joyce's Argument for Probabilism

    Open Access•Patrick Maher•Philosophy of Science•2002

  • Approximate Truth and Scientific Realism

    Open Access•Thomas A Weston, Thomas Weston•Philosophy of Science•1992

  • Conditionalization, Cogency, and Cognitive Value

    Graham Oddie•The British Journal for the…•1997

  • On Popper's Definitions of Verisimilitude 1

    Pavel Tichy•The British Journal for the…•1974

  • Popper's Qualitative Theory of Verisimilitude

    Darryl W Miller, David Miller•The British Journal for the…•1974

  • Probability and evidence

    Paul Horwich•Probability and evidence•2016

  • Epistemic Utility and Norms for Credences

    Open Access•Richard Pettigrew•Philosophy Compass•2013

Unique citing works17
Citations per year2,43
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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