This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust.

With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people’s lives.

Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.

chapter |3 pages


Risk and uncertainty in a post-truth society
BySander van der Linden, Ragnar E. Löfstedt

chapter 1|22 pages

Trust in numbers 1

ByDavid J. Spiegelhalter

chapter 2|18 pages

Science policy in a post-truth world

ByEmma Woods

chapter 3|10 pages

Trustworthiness, quality, and value

The regulation of official statistics in a post-truth age
ByEd Humpherson

chapter 5|4 pages

The handling of uncertainty

A risk manager’s perspective
ByGeoffrey Podger