Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Probability and confidence

How to improve communication of uncertainty about uncertainty in intelligence analysis

Bibliographic Data

ID12166207
AuthorsMisty C Duke (0000-0002-0501-7966, Department of Criminal Justice and Security Studies University of Texas at El Paso El Paso Texas USA, corresponding author)
Year2023
Volume37
Issue1
Publication date2023-11-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Behavioral Decision Making (JOURNAL)
Journal identifiersISSN: 0894-3257 • E-ISSN: 1099-0771
PublisherWiley (PUBLISHER • GB)
DOI10.1002/bdm.2364
OpenAlexW4389069873
LanguageEN
References cited44

Intelligence agencies communicate uncertainty to decision‐makers through verbal probability phrases that correspond to numerical ranges (i.e., probability lexicons) and ordinal levels of confidence. However, decision‐makers may misinterpret the relationship between these concepts and form inappropriate interpretations of intelligence analysts' uncertainty. In two experiments, four ways of conveying second‐order probability to decision‐makers were compared: (a) probability and confidence phrases written in the text of a report, (b) the addition of a probability lexicon, (c) the addition of a probability lexicon that varied numerical ranges according to the level of confidence (i.e., revised lexicon), and (d) a probability phrase written in text followed by a numerical range that varied according to the level of confidence. The revised lexicon was expected to improve interpretations of second‐order probability. The 275 participants in Experiment 1 and 796 participants in Experiment 2 provided numerical estimates corresponding to analytic judgments provided in descriptions about three overseas military operations and also indicated their support for approving or delaying the operations. The results demonstrated that providing the numerical range in the text of the report or providing a probability lexicon, improved interpretations of probability phrases above the verbal phrase‐only condition, but not interpretations of confidence. Participants were unable to correctly interpret confidence with respect to the precision of their estimate intervals and their decisions about the operations. However, in Experiments 2 and 3 the effects on these variables of providing decision‐makers with information about the source of the analyst's uncertainty were examined. In Experiment 3 ( n = 510), providing this information improved correspondence between confidence level and approval of the operation. Recommendations are provided regarding additional methods of improving decision‐makers' interpretation of second‐order probability conveyed in intelligence reporting

Confidence interval · Lexicon · Natural language processing · Phrase · Range (aeronautics · Statistics · Advanced Text Analysis Techniques · AI-based Problem Solving and Planning · Computer Science · Intelligence, Security, War Strategy · Mathematics · Artificial Intelligence

  • The concept of a linguistic variable and its application to approximate reasoning—I

    Open Access•Lotfi A Zadeh•Information Sciences•1975

  • Numeracy and Decision Making

    Open Access•Ellen Peters, Daniel Västfjäll et al.•Psychological Science•2006

  • Variants of uncertainty

    Open Access•Daniel Kahneman, Amos Tversky•Cognition•1982

  • General Performance on a Numeracy Scale among Highly Educated Samples

    Open Access•Isaac M Lipkus, Isaac Lipkus et al.•Medical Decision Making•2001

  • Effective communication of uncertainty in the IPCC reports

    Open Access•David V Budescu, Han‐Hui Por et al.•Climatic Change•2012

  • Fuzzy sets

    Open Access•L A Zadeh•Information and Control•1965

  • Uncertainty, Intelligence, and National Security Decisionmaking

    David R Mandel, Daniel Irwin•International Journal of…•2021

  • Meta‐informational cue inconsistency and judgment of information accuracy

    Open Access•David R Mandel, Daniel Irwin et al.•Journal of Behavioral Decision…•2022

  • Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes

    Open Access•Sarah C Jenkins, Adam J L Harris et al.•Journal of Behavioral Decision…•2018

  • Analytic Confidence and Political Decision‐Making

    Open Access•Jeffrey Friedman, Jeffrey A Friedman et al.•Political Psychology•2018

  • Behavioral Consequences of Probabilistic Precision

    Open Access•Jeffrey Friedman, Jeffrey A Friedman et al.•International Organization•2017

  • How numeracy influences risk comprehension and medical decision making

    Valerie F Reyna, Wendy L Nelson et al.•Psychological Bulletin•2009

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae