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Misinformation in Science
Stephan Lewandowsky University of Bristol and University of Western Australia @STWorg St. Malo, 24 October 2017
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Misinformation in Climate Science
Stephan Lewandowsky University of Bristol and University of Western Australia @STWorg St. Malo, 24 October 2017
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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“Post-Fact” World—“Post-Truth” Politics
“post-fact” “post-truth” Number of media hits “post-truth” Word of the year 2016 (Oxford Dictionaries)
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U.S. Presidential Candidates
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Do Facts Matter? (Swire, Berinsky, Lewandowsky, & Ecker, 2017)
Present online sample (MTurk workers) with Trump statements true or false attributed to Trump or unattributed obtain belief ratings Donald Trump said that vaccines cause autism (MISINFORMATION) Donald Trump said that the US spent $2 trillion on the war in Iraq (FACT)
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Do Facts Matter? (Swire, Berinsky, Lewandowsky, & Ecker, 2017)
Present online sample (MTurk workers) with Trump statements true or false attributed to Trump or unattributed obtain belief ratings Rebut (affirm) false (true) statements ask for belief ratings immediately or week later Donald Trump said that vaccines cause autism (MISINFORMATION) Donald Trump said that the US spent $2 trillion on the war in Iraq (FACT)
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Belief Ratings (Swire et al., 2017)
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Voting Intentions (Swire et al., 2017)
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Voting Intentions (Swire et al., 2016)
Degree of belief change after correction of misinformation did not correlate with change in voting intentions Effect has been replicated with different methodology (Nyhan et al., 2017)
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Facts Don’t Matter: Now What?
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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The Problem 1C Global Temperature
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97.1% 97.5% Scientific Consensus The climate is changing.
Humans are causing it. It’s a problem. 97.1% agreement in climate literature 97.5% agreement among climate scientists Various sources eg Cook et al 2013
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Consensus on Consensus
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Expertise and Consensus
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Deference to Consensus can be Epistemically Justified (Miller, 2013)
Social calibration all parties to consensus committed to same evidential standards and formalisms Concilience of evidence variety of lines of evidence that converge on same conclusion Social diversity consensus is socially diverse
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Deference to Consensus can be Epistemically Justified (Miller, 2013)
Social calibration all parties to consensus committed to same evidential standards and formalisms Concilience of evidence variety of lines of evidence that converge on same conclusion Social diversity consensus is socially diverse Commitment to scientific method and norms shared by scientists Many independent lines of evidence: Global temperatures Sea level rise Cryosphere mass loss Biological markers Consensus endorsed by virtually all scientific institutions in the world
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Notwithstanding the Consensus
“With all the hysteria, all the fear, all the phony science, could it be that manmade global warming is the greatest hoax ever perpetrated on the American people? I believe it is.” —U.S. Senator James Inhofe Congressional Record, 2003 Oklahoma State Capitol
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Oklahoma State Capitol
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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“… official climate models got their predictions so hopelessly wrong …
“… official climate models got their predictions so hopelessly wrong …. [in 2007] none of them predicted a temporary fall in global temperatures of 0.7 degrees, equal to their entire net rise in the 20th century…” Christopher Booker, 22 October 2016
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“fall of 0.7 degrees” 0.7C
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January 2007 – January 2008
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Sea Level Rise
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Blind Test With Economists and Statisticians
6 different scenarios involving various climate indicators contrarian statements sampled from media and online sources Google search reveals high prevalence on contrarian blogs Hence statements not cherry-picked mainstream scientific statements checked by climate experts Lewandowsky, Ballard, Oberauer, & Benestad (2016).
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Sample Trial
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Combine items into correctness score
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Statisticians
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The Public is Denied the Right to be Adequately Informed about Risks
Misleading contrarian interpretations reduce people’s acceptance of climate science (Ranney & Clark, 2016; McCright et al., 2016)
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Rhetorical Symmetry Does Not Imply Substantive Symmetry
Not all opinions deserve to be balanced No, you are not entitled to your opinion…. …. unless it is supported by fact, evidence, or argument
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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False Media Balance (nearly 1,000 media articles; Brüggemann & Engesser, 2017)
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Australia’s Channel 7 Sunrise (January 2011)
Two ‘experts’ being interviewed on global warming
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NZ ‘Weather Expert,’ Mr. Ken Ring
Author of: Pawmistry: How to Read your Cats’ Paws Cats have seven different types of paw and those bearing the “Earth Paw” are courageous, spontaneous and should not be cornered because they become “disorientated and confused.”
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Balance Matters Even When Consensus is Known (Koehler, 2016)
High consensus
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Results (Koehler, 2016)
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Public Perception of Consensus
U.S. Data “Balance as bias” media coverage
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Knowledge of Consensus is “Gateway Belief”
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Today The “post-truth” world: Do facts matter?
The crucible of the post-truth world: climate change Misinformation in climate science Implications of “false balance” Communicating science under adversity
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Suspicion and Inoculation
Research shows that correction is effective if people are: provided with an alternative skeptical of a source suspicious of motives underlying initial information Research shows that misinformation finds less traction if people are warned or inoculated
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Inoculation (Cook, Lewandowsky, & Ecker, 2017)
97.1% agreement in climate literature 97.5% agreement among climate scientists Information about the tobacco industry’s use of “fake experts” to generate appearance of a debate when there was none
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Inoculation (Cook, Lewandowsky, & Ecker, 2017)
Inoculation messages neutralized effects of ‘false balance’
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Exposing Climate Denial
Rhetorical techniques (today) judged to be misleading in blind test Merchants of Doubt (Oreskes) similarity to tobacco “Cool dudes” (Dunlap, McCright) ideological motivation Conservative “think” tanks (Jacques, Dunlap). 92% of “skeptical” books have think tank background Psychological variables (Lewandowsky) conspiratorial thinking and incoherent reasoning
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Summary of Interventions
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Thank You http://www.bristol.ac.uk/posttruthexperts/
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END HERE
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Asymmetric Decline in Trust in Science (Gauchat, 2012)
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Asymmetric Attitudes to Science
In laboratory experiments with synthetic scenarios: no clear cognitive differences between people with different worldviews or political leanings In surveys involving actual scientific issues: rejection seems centered on political right no evidence of symmetry no evidence of science rejection by political left Vaccinations (Hamilton, Lewandowsky) Genetically Modified Organisms (Lewandowsky, Hamilton) HIV-AIDS (Lewandowsky) Tobacco-lung cancer (Lewandowsky)
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Worldview and Science (e.g., Lewandowsky et al., 2013)
C:\Users\Lewan\Documents\MATLAB\Teaching of MatLab\ESCOPSS2010\Demos SL\plotrwithinbounds.m
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Alternative Realities
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