Header

UZH-Logo

Maintenance Infos

A blind expert test of contrarian claims about climate data


Lewandowsky, Stephan; Ballard, Timothy; Oberauer, Klaus; Benestad, Rasmus (2016). A blind expert test of contrarian claims about climate data. Global Environmental Change, 39:91-97.

Abstract

Although virtually all experts agree that CO2 emissions are causing anthropogenic global warming, public discourse is replete with contrarian claims that either deny that global warming is happening or dispute a human influence. Although the rejection of climate science is known to be driven by ideological, psychological, and political factors rather than scientific disagreement, contrarian views have considerable prominence in the media. A better understanding of contrarian discourse is therefore called for. We report a blind expert test of contrarian claims about climatological variables. Expert economists and statisticians were presented with representative contrarian statements (e.g., “Arctic ice is recovering”) translated into an economic or demographic context. In that blind test, contrarian claims were found to be misleading. By contrast, mainstream scientific interpretations of the data were judged to be accurate and policy relevant. The results imply that media inclusion of contrarian statements may increase bias rather than balance.

Abstract

Although virtually all experts agree that CO2 emissions are causing anthropogenic global warming, public discourse is replete with contrarian claims that either deny that global warming is happening or dispute a human influence. Although the rejection of climate science is known to be driven by ideological, psychological, and political factors rather than scientific disagreement, contrarian views have considerable prominence in the media. A better understanding of contrarian discourse is therefore called for. We report a blind expert test of contrarian claims about climatological variables. Expert economists and statisticians were presented with representative contrarian statements (e.g., “Arctic ice is recovering”) translated into an economic or demographic context. In that blind test, contrarian claims were found to be misleading. By contrast, mainstream scientific interpretations of the data were judged to be accurate and policy relevant. The results imply that media inclusion of contrarian statements may increase bias rather than balance.

Statistics

Citations

Dimensions.ai Metrics
20 citations in Web of Science®
25 citations in Scopus®
Google Scholar™

Altmetrics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Scopus Subject Areas:Physical Sciences > Global and Planetary Change
Social Sciences & Humanities > Geography, Planning and Development
Physical Sciences > Ecology
Physical Sciences > Management, Monitoring, Policy and Law
Language:English
Date:2016
Deposited On:24 May 2016 12:33
Last Modified:15 Jul 2024 01:37
Publisher:Elsevier
ISSN:0959-3780
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.gloenvcha.2016.04.013
Full text not available from this repository.