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        Bad Beliefs

        Why They Happen to Good People

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        Author(s)
        Levy, Neil
        Collection
        Wellcome
        Language
        English
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        Abstract
        Why do people come to reject climate science or the safety and efficacy of vaccines, in defiance of the scientific consensus? A popular view explains bad beliefs like these as resulting from a range of biases that together ensure that human beings fall short of being genuinely rational animals. This book presents an alternative account. It argues that bad beliefs arise from genuinely rational processes. We’ve missed the rationality of bad beliefs because we’ve failed to recognize the ubiquity of the higher-order evidence that shapes beliefs, and the rationality of being guided by this evidence. The book argues that attention to higher-order evidence should lead us to rethink both how minds are best changed and the ethics of changing them: we should come to see that nudging—at least usually—changes belief (and behavior) by presenting rational agents with genuine evidence, and is therefore fully respectful of intellectual agency. We needn’t rethink Enlightenment ideals of intellectual autonomy and rationality, but we should reshape them to take account of our deeply social epistemic agency.
        URI
        https://library.oapen.org/handle/20.500.12657/52638
        Keywords
        belief, evidence, rationality, autonomy, nudging
        DOI
        10.1093/oso/9780192895325.001.0001
        ISBN
        9780192895325
        Publisher
        Oxford University Press
        Publisher website
        https://global.oup.com/
        Publication date and place
        Oxford, 2021
        Grantor
        • Wellcome Trust - WT104848/Z14/Z
        • Macquarie University
        Classification
        Philosophy: epistemology and theory of knowledge
        Ethics and moral philosophy
        Social and political philosophy
        Pages
        224
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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