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Further Notes on Public Response to Uncertainty in Risks and Science

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  • Branden B. Johnson

Abstract

Given the prevalence of uncertainty and variability in estimates of environmental health risks, it is important to know how citizens interpret information representing uncertainty in risk estimates. Ranges of risk estimates from a hypothetical industry source elicited divergent evaluations of risk assessors' honesty and competence among New Jersey residents within one mile of one or more factories. A plurality saw ranges of risk estimates as both honest and competent, but with most judging such ranges as deficient on one or both dimensions. They wanted definitive conclusions about safety, tended to believe the high end of the range was more likely to be an accurate estimate of the risk, and believed that institutions only discuss risks when they are “high.” Acknowledgment of scientific, as opposed to self‐interested, reasons for uncertainty and disputes among experts was low. Attitude toward local industry seemed associated with, if not a cause of, attitudes about ranges of risk estimates. These reactions by industry neighbors appear to replicate the findings of Johnson and Slovic (1995, 1998), despite the hypothetical producer of risk estimates being industry instead of government. Respondents were older and less educated on average than were the earlier samples, but more diverse. Regression analyses suggested attitude toward industry was a major factor in these reactions, although other explanations (e.g., level of scientific understanding independent of general education) were not tested in this study.

Suggested Citation

  • Branden B. Johnson, 2003. "Further Notes on Public Response to Uncertainty in Risks and Science," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 781-789, August.
  • Handle: RePEc:wly:riskan:v:23:y:2003:i:4:p:781-789
    DOI: 10.1111/1539-6924.00355
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    References listed on IDEAS

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    1. Branden B. Johnson, 2003. "Do Reports on Drinking Water Quality Affect Customers' Concerns? Experiments in Report Content," Risk Analysis, John Wiley & Sons, vol. 23(5), pages 985-998, October.
    2. Richard J. Bord & Robert E. O'Connor, 1992. "Determinants of Risk Perceptions of a Hazardous Waste Site," Risk Analysis, John Wiley & Sons, vol. 12(3), pages 411-416, September.
    3. Branden B. Johnson, 2003. "Communicating Air Quality Information: Experimental Evaluation of Alternative Formats," Risk Analysis, John Wiley & Sons, vol. 23(1), pages 91-103, February.
    4. Paul Slovic & Sarah Lichtenstein & Baruch Fischhoff, 1984. "Modeling the Societal Impact of Fatal Accidents," Management Science, INFORMS, vol. 30(4), pages 464-474, April.
    5. Branden B. Johnson & Paul Slovic, 1995. "Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust," Risk Analysis, John Wiley & Sons, vol. 15(4), pages 485-494, August.
    6. James Flynn & Paul Slovic & C. K. Mertz, 1994. "Gender, Race, and Perception of Environmental Health Risks," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1101-1108, December.
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    1. P. Marijn Poortvliet & Anne Marike Lokhorst, 2016. "The Key Role of Experiential Uncertainty when Dealing with Risks: Its Relationships with Demand for Regulation and Institutional Trust," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1615-1629, August.
    2. Branden B. Johnson & Adam M. Finkel, 2016. "Public Perceptions of Regulatory Costs, Their Uncertainty and Interindividual Distribution," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1148-1170, June.
    3. Branden B. Johnson & Caron Chess, 2003. "How Reassuring are Risk Comparisons to Pollution Standards and Emission Limits?," Risk Analysis, John Wiley & Sons, vol. 23(5), pages 999-1007, October.
    4. van der Bles, Anne Marthe & van der Liden, Sander & Freeman, Alessandra L. J. & Mitchell, James & Galvao, Ana Beatriz & Spiegelhalter, David J., 2019. "Communicating uncertainty about facts, numbers, and science," EMF Research Papers 22, Economic Modelling and Forecasting Group.
    5. Rojalin Pradhan & Mahim Sagar & Tushar Pandey & Ishwar Prasad, 2019. "Consumer health risk awareness model of RF-EMF exposure from mobile phones and base stations: An exploratory study," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 16(1), pages 125-145, March.
    6. Branden B. Johnson, 2019. "Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1657-1674, August.
    7. Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
    8. V.H.M. Visschers & P.M. Wiedemann & H. Gutscher & S. Kurzenhäuser & R. Seidl & C.G. Jardine & D.R.M. Timmermans, 2012. "Affect-inducing risk communication: current knowledge and future directions," Journal of Risk Research, Taylor & Francis Journals, vol. 15(3), pages 257-271, March.
    9. Nathan F. Dieckmann & Robert Mauro & Paul Slovic, 2010. "The Effects of Presenting Imprecise Probabilities in Intelligence Forecasts," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 987-1001, June.
    10. Kazuya Nakayachi & Branden B. Johnson & Kazuki Koketsu, 2018. "Effects of Acknowledging Uncertainty about Earthquake Risk Estimates on San Francisco Bay Area Residents’ Beliefs, Attitudes, and Intentions," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 666-679, April.
    11. Toshio Fujimi & Masahide Watanabe & Hirokazu Tatano, 2021. "Public trust, perceived accuracy, perceived likelihood, and concern on multi-model climate projections communicated with different formats," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-20, June.

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