Trust in numbers
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Spiegelhalter, David 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
1467-985X
Volume Title
180
Publisher
Oxford University Press (OUP)
Publisher DOI
Sponsorship
David And Claudia Harding Foundation (unknown)