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Trust in numbers

Accepted version
Peer-reviewed

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Type

Article

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Authors

Spiegelhalter, David  ORCID logo  https://orcid.org/0000-0001-9350-6745

Abstract

jats:titleSummary</jats:title> jats:pThose who value quantitative and scientific evidence are faced with claims both of a reproducibility crisis in scientific publication and of a post-truth society abounding in fake news and alternative facts. Both issues are of vital importance to statisticians, and both are deeply concerned with trust in expertise. By considering the ‘pipelines’ through which scientific and political evidence is propagated, I consider possible ways of improving both the trustworthiness of the statistical evidence being communicated, and the ability of audiences to assess the quality and reliability of what they are being told.</jats:p>

Description

Keywords

Media filters, Post-truth, Reproducibility, Trustworthiness

Journal Title

Journal of the Royal Statistical Society. Series A: Statistics in Society

Conference Name

Journal ISSN

0964-1998
1467-985X

Volume Title

180

Publisher

Oxford University Press (OUP)
Sponsorship
David And Claudia Harding Foundation (unknown)