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Psychonomic Bulletin & Review
Article . 1999 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Counterfactual thinking and decision making

Authors: N, Roese;

Counterfactual thinking and decision making

Abstract

Recent research on counterfactual thinking is discussed in terms of its implications for decision making. Against a backdrop of the functional benefits of counterfactual thinking, two distinct types of bias, one liberal and one conservative, are discussed. Counterfactuals may cause decision makers to become liberally biased (i.e., capricious) in terms of tactics, but conservatively biased (i.e., rigid) in terms of long-term strategy. That is, counterfactuals may lead to short-term corrective changes that are needless and costly, but they may also lead to long-term overconfidence, blinding the decision maker to possible beneficial strategic adjustments. Recent research on counterfactual thinking, which is inherently multidisciplinary, is reviewed in light of a theoretical structure that posits two mechanisms by which counterfactual effects occur: contrast effects and causal inferences.

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Keywords

Thinking, Motivation, Decision Theory, Risk-Taking, Decision Making, Humans

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    44
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Average
bronze