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Watch in slide show mode to observe (modest) animation. comments questions: [email protected] papers, etc: www.culturalcognition.net

Watch in slide show mode to observe (modest) animation. comments questions: dan.kahan@yale

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Watch in slide show mode to observe (modest) animation. comments questions: [email protected] papers, etc: www.culturalcognition.net. www.culturalcognition.net. What does the science of science communication have to say about the climate change conflict?. Dan M. Kahan Yale University. - PowerPoint PPT Presentation

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Page 1: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Watch in slide show mode to observe (modest) animation.

comments questions: [email protected]

papers, etc: www.culturalcognition.net

Page 2: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Dan M. KahanYale University

Research Supported by: National Science Foundation, SES-0922714 & SES-06021840

www.culturalcognition.net

What does the science of science communication have to say about the climate change conflict?

Page 3: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. Local engagement b. evidence-based communication: lab models to … field models

The Science Communication Problem

Page 4: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. Local engagement b. evidence-based communication: lab models to … field models

The Science Communication Problem

Page 5: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale
Page 6: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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“How much risk do you believe climate change poses to human health, safety, or prosperity?”

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source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.

Page 7: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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PIT prediction: Science Illiteracy & Bounded Rationality

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low vs. high sci

High Sci. litearcy/System 2 (“slow”)

Low Sci. litearcy/System 1 (“fast”)

“How much risk do you believe climate change poses to human health, safety, or prosperity?”

source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.

Page 8: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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Science literacy Numeracylow high

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PIT prediction PIT prediction

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actual varianceactual variance

“How much risk do you believe climate change poses to human health, safety, or prosperity?”

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source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.

Page 9: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. Local engagement b. evidence-based communication: lab models to … field models

The Science Communication Problem

Page 10: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is: motivated reasoning

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. Local engagement b. evidence-based communication: lab models to … field models

The Science Communication Problem

Page 11: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Hierarchy

Egalitarianism

Abortion procedure

Cultural Cognition Worldviews

compulsory psychiatric treatment

Abortion procedure

compulsory psychiatric treatment

Risk Perception KeyLow RiskHigh Risk

Individualism Communitarianism

Environment: climate, nuclear

Guns/Gun Control

Guns/Gun Control

HPV Vaccination

HPV Vaccination

Gays military/gay parenting

Gays military/gay parenting

Environment: climate, nuclear

Page 12: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale
Page 13: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Source: Kahan, D.M., Jenkins-Smith, H. & Braman, D. Cultural Cognition of Scientific Consensus. J. Risk Res. 14, 147-74 (2011).

Page 14: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

randomly assign 1 “It is now beyond reasonable scientific dispute that human activity is causing ‘global warming’ and other dangerous forms of climate change. Over the past century, atmospheric concentration of carbon dioxide (CO2)—called a “greenhouse gas” because of its contribution to trapping heat—has increased to historically unprecedented levels. Scientific authorities at all major universities agree that the source of this increase is human industrial activity. They agree too that higher C02 levels are responsible for steady rises in air and ocean temperatures over that period, particularly in the last decade. This change is resulting in a host of negative consequences: the melting of polar ice caps and resulting increases in sea levels and risks of catastrophic flooding; intense and long-term droughts in many parts of the world; and a rising incidence of destructive cyclones and hurricanes in others.”

Robert Linden

Position: Professor of Meteorology, Massachusetts Institute of Technology Education: Ph.D., Harvard University Memberships:

American Meteorological Society National Academy of Sciences

“Judged by conventional scientific standards, it is premature to conclude that human C02 emissions—so-called ‘greenhouse gasses’—cause global warming. For example, global temperatures have not risen since 1998, despite significant increases in C02 during that period. In addition, rather than shrinking everywhere, glaciers are actually growing in some parts of the world, and the amount of ice surrounding Antarctica is at the highest level since measurements began 30 years ago. . . . Scientists who predict global warming despite these facts are relying entirely on computer models. Those models extrapolate from observed atmospheric conditions existing in the past. The idea that those same models will accurately predict temperature in a world with a very different conditions—including one with substantially increased CO2 in the atmosphere—is based on unproven assumptions, not scientific evidence. . . .”

Robert Linden

Position: Professor of Meteorology, Massachusetts Institute of Technology Education: Ph.D., Harvard University Memberships:

American Meteorological Society National Academy of Sciences

High Risk(science conclusive)

Low Risk(science inconclusive)

Climate Change

Page 15: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

randomly assign 1 “Radioactive wastes from nuclear power plants can be disposed of without danger to the public or the environment through deep geologic isolation. In this method, radioactive wastes are stored deep underground in bedrock, and isolated from the biosphere for many thousands of years. Natural bedrock isolation has safely contained the radioactive products generated by spontaneous nuclear fission reactions in Oklo, Africa, for some 2 billion years. Man-made geologic isolation facilities reinforce this level of protection through the use of sealed containers made of materials known to resist corrosion and decay. This design philosophy, known as ‘defense in depth,’ makes long-term disposal safe, effective, and economically feasible.”

Oliver Roberts

Position: Professor of Nuclear Engineering, University of California, Berkeley Education: Ph.D., Princeton University Memberships:

American Association of Physics National Academy of Sciences

“Using deep geologic isolation to dispose of radioactive wastes from nuclear power plants would put human health and the environment at risk. The concept seems simple: contain the wastes in underground bedrock isolated from humans and the biosphere. The problem in practice is that there is no way to assure that the geologic conditions relied upon to contain the wastes won’t change over time. Nor is there any way to assure the human materials used to transport wastes to the site, or to contain them inside of the isolation facilities, won’t break down, releasing radioactivity into the environment. . . . These are the sorts of lessons one learns from the complex problems that have plagued safety engineering for the space shuttle, but here the costs of failure are simply too high.

Oliver Roberts

Position: Professor of Nuclear Engineering, University of California, Berkeley Education: Ph.D., Princeton University Memberships:

American Association of Physics National Academy of Sciences

Low Risk(safe)

High Risk(not safe)

Geologic Isolation of Nuclear Wastesrandomly assign 1 “Radioactive wastes from nuclear power plants can be disposed of without danger to the public or the environment through deep geologic isolation. In this method, radioactive wastes are stored deep underground in bedrock, and isolated from the biosphere for many thousands of years. Natural bedrock isolation has safely contained the radioactive products generated by spontaneous nuclear fission reactions in Oklo, Africa, for some 2 billion years. Man-made geologic isolation facilities reinforce this level of protection through the use of sealed containers made of materials known to resist corrosion and decay. This design philosophy, known as ‘defense in depth,’ makes long-term disposal safe, effective, and economically feasible.”

Oliver Roberts

Position: Professor of Nuclear Engineering, University of California, Berkeley Education: Ph.D., Princeton University Memberships:

American Association of Physics National Academy of Sciences

“Using deep geologic isolation to dispose of radioactive wastes from nuclear power plants would put human health and the environment at risk. The concept seems simple: contain the wastes in underground bedrock isolated from humans and the biosphere. The problem in practice is that there is no way to assure that the geologic conditions relied upon to contain the wastes won’t change over time. Nor is there any way to assure the human materials used to transport wastes to the site, or to contain them inside of the isolation facilities, won’t break down, releasing radioactivity into the environment. . . . These are the sorts of lessons one learns from the complex problems that have plagued safety engineering for the space shuttle, but here the costs of failure are simply too high.

Oliver Roberts

Position: Professor of Nuclear Engineering, University of California, Berkeley Education: Ph.D., Princeton University Memberships:

American Association of Physics National Academy of Sciences

Page 16: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

“So-called ‘concealed carry’ laws increase violent crime. The claim that allowing people to carry concealed handguns reduces crime is not only contrary to common-sense, but also unsupported by the evidence. . . . Looking at data from 1977 to 2005, the 22 states that prohibited carrying handguns in public went from having the highest rates of rape and property offenses to having the lowest rates of those crimes. . . .To put an economic price tag on the issue, I estimate that the cost of “concealed carry laws” is around $500 million a year in the U.S.”

James Williams Position: Professor of Criminology, Stanford University Education: Ph.D., Yale University Memberships:

American Society of Criminologists National Academy of Sciences

“Overall, ‘concealed carry’ laws decrease violent crime. The reason is simple: potential criminals are less likely to engage in violent assaults or robberies if they think their victims, or others in a position to give aid to those persons, might be carrying weapons. . . . Based on data from 1977 to 2005, I estimate that states without such laws, as a group, would have avoided 1,570 murders; 4,177 rapes; and 60,000 aggravated assaults per year if they had they made it legal for law-abiding citizens to carry concealed handguns. Economically speaking, the annual gain to the U.S. from allowing concealed handguns is at least $6.214 billion.”

James Williams

Position: Professor of Criminology, Stanford University Education: Ph.D., Yale University Memberships:

American Society of Criminologists National Academy of Sciences

High Risk(Increase crime)

Low Risk(Decrease Crime)

Concealed Carry Laws

Page 17: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Hierarchy

Egalitarianism

Cultural Cognition WorldviewsRisk Perception KeyLow RiskHigh Risk

Individualism Communitarianism

Environment: climate, nuclear

Guns/Gun Control

Guns/Gun Control

Environment: climate, nuclear

Page 18: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

-80% -60% -40% -20% 0% 20% 40% 60% 80%

Climate Change

Nuclear Waste

Gun Control

Low RiskHigh Risk

N = 1,500. Derived from ordered-logit regression analysis, controlling for demographic and political affiliation/ideology variables. Culture variables set 1 SD from mean on culture scales. CIs reflect 0.95 level of confidence

ConcealedCarry

ClimateChange

NuclearPower 31%

54%

22%

58%61%

72%

Pct. Point Difference in Likelihood of Selecting Response

60% 40% 20% 0 20% 40% 60%

-80%

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ate

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Low RiskHigh Risk

Egalitarian CommunitarianMore Likely to Agree

Hierarchical IndividualistMore Likely to Agree

Featured scientist is a knowledgeable and credible expert on ...

Page 19: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Source: Kahan, D.M., Jenkins-Smith, H. & Braman, D. Cultural Cognition of Scientific Consensus. J. Risk Res. 14, 147-74 (2011).

Page 20: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is: motivated reasoning

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. Local engagement b. evidence-based communication: lab models to … field models

The Science Communication Problem

Page 21: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale
Page 22: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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“How much risk do you believe climate change poses to human health, safety, or prosperity?”

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Cultural Variance...

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Cultural variance conditional on sci. literacy/numeracy?

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

Page 23: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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PIT prediction: Culture as heuristic substitute

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U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

Page 24: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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“How much risk do you believe climate change poses to human health, safety, or prosperity?”

High Sci lit/numeracy

Actual interaction of culture & sci-lit/num...

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U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

Page 25: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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High Sci lit/numeracyHierarch Individ

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Actual interaction of culture & sci-lit/num...

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

Page 26: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

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“How much risk do you believe climate change poses to human health, safety, or prosperity?”

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POLARIZATION INCREASES as scil-lit/numeracy increases

High Sci lit/numeracyEgal Comm

High Sci lit/numeracyHierarch Individ

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Low Sci/lit numeracyEgal Comm

U.S. general population survey, N = 1,500. Scale 0 (“no risk at all”) to 10 (“extreme risk”), M = 5.7, SD = 3.4. CIs reflect 0.95 level of confidence.source: Kahan, D.M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D. & Mandel, G. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Clim. Change, advance online publication (2012), doi:10.1038/nclimate1547.

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1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. change places, change teams b. evidence-based communication: lab models to … field models

The Science Communication Problem

: motivated reasoning

Page 28: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale
Page 29: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. change places, change teams b. evidence-based communication: lab models to … field models

The Science Communication Problem

: motivated reasoning

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RiskPerception

channel 1: content

Two Channel Communication Strategy

Information channel 2: meaning

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4. Experimental response items

A. Evidence Skepticism Module

13. Convincing. We would like to know what you think of the Nature Science study, excerpts of which you just read. In your view, how convincing was the study on a scale of 0-10 with 0 meaning “completely unconvincing” to 10 meaning “completely convincing”?

Please indicate how strongly you disagree or agree with the following statements concerning the study. [Strongly disagree, moderately disagree, slightly disagree, slightly agree, moderately agree, strongly agree]

14. Biased. The scientists who did the study were biased. 15. Computers. Computer models like those relied on in the study are not a

reliable basis for predicting the impact of CO2 on the climate. 16. Moredata. More studies must be done before policymakers rely on the

findings of the Nature Science study.

study_dismiss scale (α = 0.85)

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Hierarchy

Egalitarianism

Individualism

Climate change

Cultural Cognition Worldviews

Communitarianism

Climate change

Risk Perception KeyLow RiskHigh Risk

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-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

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dism

iss 2

Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

anti-pollution

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Control Condition

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-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

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dism

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Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

anti-pollution

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Anti-pollution Condition

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Geoengineering Condition

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4. Experimental response items

A. Evidence Skepticism Module

13. Convincing. We would like to know what you think of the Nature Science study, excerpts of which you just read. In your view, how convincing was the study on a scale of 0-10 with 0 meaning “completely unconvincing” to 10 meaning “completely convincing”?

Please indicate how strongly you disagree or agree with the following statements concerning the study. [Strongly disagree, moderately disagree, slightly disagree, slightly agree, moderately agree, strongly agree]

14. Biased. The scientists who did the study were biased. 15. Computers. Computer models like those relied on in the study are not a

reliable basis for predicting the impact of CO2 on the climate. 16. Moredata. More studies must be done before policymakers rely on the

findings of the Nature Science study.

study_dismiss scale (α = 0.85)

Page 40: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

RiskPerception

channel 1: content

Two Channel Communication Strategy

Information channel 2: meaning

Page 41: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Anti-pollution Condition

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-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

udy

dism

iss 2

Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

anti-pollution

Page 43: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

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dism

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Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

anti-pollution

Page 44: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Geoengineering Condition

Page 45: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

RiskPerception

channel 1: content

Two Channel Communication Strategy

Information channel 2: meaning

Page 46: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

udy

dism

iss 2

Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

anti-pollution

Page 47: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

-1.20-1.00-0.80-0.60-0.40-0.200.000.200.400.600.801.001.20

control pollution geoengineering

HI

EC

z_St

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dism

iss 2

Dismiss

Credit

Study dismissiveness

Hierarch IndividEgal Commun

anti-pollution

Page 48: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1.0

1.5

2.0

2.5

control pollution geoengineering

more polarization

lesspolarization

Polarizationz_

Stud

y di

smiss

2

anti-pollution

Page 49: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale
Page 50: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

1. What the source of the problem isn’t: public irrationality thesis (PIT)

2. What the source of the problem is

3. What “ ‘isn’t’ & ‘is’ ” imply for climate-change communication

a. change places, change teams b. evidence-based communication: lab models to … field models

The Science Communication Problem

: motivated reasoning

Page 51: Watch in slide show mode to observe (modest) animation.  comments questions:  dan.kahan@yale

Cultural Cognition Cat Scan Experiment

Go to www.culturalcognition.net!