Weighting and trimming: Heuristics for aggregating judgments under uncertainty

Ilan Yaniv*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

83 Scopus citations


In making major decisions (e.g., about medical treatment, acceptance of manuscripts for publication, or investment), decision makers frequently poll the opinions and subjective estimates of other judges. The aggregation of these opinions is often beset by difficulties. First, decision makers often encounter conflicting subjective estimates. Second, estimates are often expressed with a measure of uncertainty. The decision maker thus needs to reconcile inconsistencies among judgmental estimates and determine their influence on the overall aggregate judgment. In the empirical studies, I examine the idea that weighting and trimming are two important heuristics in the aggregation of opinions under uncertainty. The results from these studies are contrasted with the findings of a normative study using a computer simulation that was designed to assess the objective effects of weighting and trimming operations on the accuracy of estimation.

Original languageAmerican English
Pages (from-to)237-249
Number of pages13
JournalOrganizational Behavior and Human Decision Processes
Issue number3
StatePublished - Mar 1997

Bibliographical note

Funding Information:
This research was supported by grants from the Israel Science Foundation and the Israel Foundations Trustees. I am grateful to Dean Foster for numerous productive discussions on this work and to Josh Klayman and anonymous reviewers for helpful comments on the manuscript.


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