When the unreal is more likely than the real: Post hoc probability judgements and counterfactual closeness

Thinking and Reasoning 4 (2):147 – 177 (1998)
  Copy   BIBTEX

Abstract

Occasionally, people are called upon to estimate probabilities after an event has occurred. In hindsight, was this an outcome we could have expected? Could things easily have turned out differently? One strategy for performing post hoc probability judgements would be to mentally turn the clock back and reconstruct one's expectations before the event. But if asked about the probability of an alternative, counterfactual outcome, a simpler strategy is available, based on this outcome's perceived closeness to what actually happened. The article presents five studies exploring the relationship between counterfactual closeness and counterfactual probability. The first study indicates that post hoc probabilities typically refer to the counterfactual rather than the factual outcome. Studies 2-5 show that physical, temporal, or conceptual proximity play a decisive role for post hoc probability assessments of counterfactual events. When margins are narrow, the probabilities of, for instance, winning a match (when losing), and of losing (when actually winning) may even be rated higher than the corresponding probabilities of what really happened. Closeness is also more often referred to, and rated to be a better reason for believing there is a ''good chance" of the counterfactual rather than of the factual result occurring. Finally, the closeness of the alternative outcome in success and failure stories is shown to be significantly correlated to its rated probability.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Probability Out Of Determinism.Michael Strevens - 2011 - In Claus Beisbart & Stephan Hartmann (eds.), Probabilities in Physics. Oxford University Press. pp. 339--364.
Probability and conditionals.Robert C. Stalnaker - 1970 - Philosophy of Science 37 (1):64-80.
What are conditional probabilities conditional upon?Keith Hutchison - 1999 - British Journal for the Philosophy of Science 50 (4):665-695.
Counterfactuals and explanation.Boris Kment - 2006 - Mind 115 (458):261-310.

Analytics

Added to PP
2009-02-11

Downloads
36 (#431,270)

6 months
4 (#818,853)

Historical graph of downloads
How can I increase my downloads?

References found in this work

Judgement under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky - 1985 - British Journal for the Philosophy of Science 36 (3):331-340.
Paul Slovic, and Amos Tversky, eds.Daniel Kahneman - 1982 - In Daniel Kahneman, Paul Slovic & Amos Tversky (eds.), Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press.
Measuring psychological uncertainty: Verbal versus numeric methods.Paul D. Windschitl & Gary L. Wells - 1996 - Journal of Experimental Psychology: Applied 2 (4):343.

Add more references