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.

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.

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

Politicians aren't the only ones who lie. The bestselling author of "Is There Life After High School?" explains America's unusually high tolerance for deceit.

Political and civil discourse in the United States is characterized by “Truth Decay,” defined as increasing disagreement about facts, a blurring of the line between opinion and fact, an increase in the relative volume of opinion compared with fact, and lowered trust in formerly respected sources of factual information. This report explores the causes and wide-ranging consequences of Truth Decay and proposes strategies for further action.

This comprehensive book looks at COVID-19, along with other recent infectious disease outbreaks, with the broad aim of providing constructive lessons and critical reflections from across a wide range of perspectives and disciplinary interests within the risk analysis field. The chapters in this edited volume probe the roles of risk communication, risk perception, and risk science in helping to manage the ever-growing pandemic that was declared a public health emergency of international concern in the beginning of 2020. A few chapters in the book also include relevant content discussing past disease outbreaks, such as Zika, Ebola and MERS-CoV. This book distils past and present knowledge, appraises current responses, introduces new ideas and data, and offers key recommendations, which will help illuminate different aspects of the global health crisis. It also explores how different constructive insights offered from a ‘risk perspective’ might inform decisions on how best to proceed in response as the pandemic continues. The chapters in this book were originally published as a special issue of the Journal of Risk Research.

This volume presents the ethical implications of risk information as related to genetics and other health data for policy decisions at clinical, research and societal levels. Ethical, Social and Psychological Impacts of Genomic Risk Communication examines the introduction of new types of health risk information based on faster, cheaper and larger sets of genetic or genomic analysis. Synthesizing the results of a five-year interdisciplinary project, it explores the unsolved ethical and social questions around the sharing of this data, such as: What is best practice in risk communication? What are the normative presumptions and ethical consequences of an increased individual responsibility for ones’ health? And how does one deal with the gap between the knowledge of risk and the lack of therapeutic options which often exist for complex diseases, such as dementia or some types of cancer? Drawing on contributions from over 20 experts in the field, this collection examines these questions from a liberal bioethics’ perspective, advocating for contextual and cultural-sensitive ethical discussions. This book will be of great interest to students and scholars of theoretical and clinical medical ethics, medical sociology, risk communication and ethics of risk, as well as professionals in clinical genetics.