Acceptable Evidence: Science and Values in Risk Management by Deborah G. Mayo, Rachelle D. Hollander

By Deborah G. Mayo, Rachelle D. Hollander

Discussions of technological know-how and values in threat administration have principally occupied with how values input into arguments approximately hazards, that's, problems with applicable hazard. in its place this quantity concentrates on how values input into accumulating, analyzing, speaking, and comparing the proof of hazards, that's, problems with the acceptability of proof of hazard. by way of targeting appropriate proof, this quantity avoids boundaries to growth. One barrier assumes that facts of threat is basically an issue of goal clinical information and for this reason uncontroversial. the opposite assumes that facts of possibility, being "just" an issue of values, isn't really amenable to reasoned critique. Denying either extremes, this quantity argues for a extra positive end: figuring out the interrelations of clinical and price concerns allows a severe scrutiny of probability exams and higher public deliberation approximately social offerings. The members, individual philosophers, coverage analysts, and ordinary and social scientists, examine environmental and clinical controversies, and assumptions underlying perspectives approximately hazard evaluation and the medical and statistical types utilized in threat administration.

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Additional info for Acceptable Evidence: Science and Values in Risk Management (Environmental Ethics and Science Policy Series)

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Equally certain is that technology is a major driving force in shaping social values. Consider the impacts of the automobile on families, contraceptives on sexual mores, life-extending technologies on religious beliefs, and computers and informational banks on privacy. Like amplified hazards, value-threatening hazards are often not hidden, as the noisy conflicts over abortion, smoking, and motorcycle helmets make clear. Yet some technologies pose uncertain and dimly perceived threats to values, intermingled with substantial benefits.

Numerical risk estimates are used not only to balance risk benefits and to set standards but also, increasingly, to compare risks and distinguish between those that merit regulation and those that do not. The nascent technique of judgmental probability encoding represents a still newer application of quantitative methodologies to the evaluation of scientific uncertainty, in this case to measure the extent of subjectivity in expert judgments. Despite their growing popularity, however, all of these methodologies continue to generate lively technical and political controversy.

Studies on Developing Countries, no. 120. Budapest: Institute for World Economics, Hungarian Academy of Sciences. United Nations Environment Programme (1986). The State of the Environment, 1986: Environment and Health. Nairobi: United Nations Environment Programme. 28 PERCEIVING AND COMMUNICATING RISK EVIDENCE Viscusi, W. K. (1983). Risk by Choice: Regulating Health and Safety in the Workplace. : Harvard University Press. , and Edwards, W. (1984). Understanding Public Disputes About Risky Technologies.

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