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Trust in numbers
Author(s) -
Spiegelhalter David
Publication year - 2017
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12302
Subject(s) - trustworthiness , fake news , value (mathematics) , quality (philosophy) , reliability (semiconductor) , scientific evidence , scientific misconduct , politics , psychology , computer science , public relations , internet privacy , epistemology , political science , law , medicine , alternative medicine , philosophy , power (physics) , physics , pathology , quantum mechanics , machine learning
Summary Those 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.