When Is Uncertainty About Uncertainty Worth Characterizing?

Louis Anthony Cox (), Gerald G. Brown () and Stephen M. Pollock ()
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Louis Anthony Cox: Cox Associates, Denver, Colorado 80218
Gerald G. Brown: Operations Research Department, Naval Postgraduate School, Monterey, California 93943
Stephen M. Pollock: Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109

Interfaces, 2008, vol. 38, issue 6, 465-468

Abstract: In areas of risk assessment ranging from terrorism to health, safety, and the environment, authoritative guidance urges risk analysts to quantify and display their uncertainties about inputs that significantly affect the results of an analysis, including their uncertainties about subjective probabilities of events. Such “uncertainty characterization” is said to be an important part of fully and honestly informing decision makers about the estimates and uncertainties in analyses that support policy recommendations, enabling them to make better decisions. But is it? Characterization of uncertainties about probabilities often carries zero value of information and accomplishes nothing to improve risk-management decisions. Uncertainties about consequence probabilities are not worth characterizing when final actions must be taken based on information available now.“But there seemed to be no chance of this, so she began looking at everything about her to pass away the time.”---Lewis Carroll, Alice in Wonderland

Keywords: risk analysis; decision analysis; uncertainty analysis; expert elicitation; probability; uncertainty characterization (search for similar items in EconPapers)
Date: 2008
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