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Improbable outcomes: Infrequent or extraordinary?

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References

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1990A Natural history of negation2,431 cited
2008The Black Swan: The Impact of the Highly Improbable2,425 cited
2000Presumptive meanings: The theory of generalized conversational implicature2,253 cited
1995How to improve Bayesian reasoning without instruction: Frequency formats.2,131 cited
1989A Natural History of Negation1,958 cited
1996Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty1,295 cited
1996The Evaluability Hypothesis: An Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives1,139 cited
1982Variants of uncertainty789 cited
1959THE PROPENSITY INTERPRETATION OF PROBABILITY608 cited
1999The ‘conjunction fallacy’ revisited: how intelligent inferences look like reasoning errors538 cited
1986Measuring the vague meanings of probability terms.522 cited
1959The Propensity Interpretation of Probability507 cited

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2000Violence risk assessment and risk communication: The effects of using actual cases, providing instruction, and employing probability versus frequency formats.502 cited

Cited by

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2013Verbal Probabilities: An Alternative Approach66 cited
2013Top scores are possible, bottom scores are certain (and middle scores are not worth mentioning): A pragmatic view of verbal probabilities56 cited
2017Made by Mistake: When Mistakes Increase Product Preference52 cited
2019Quantification46 cited
2019Constraint-Based Pragmatic Processing31 cited
2018Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes: The Robustness of the Extremity Effect28 cited
2019Scalar Implicatures25 cited
2022Dimensions of uncertainty communication: What is conveyed by verbal terms and numeric ranges19 cited
2022What is a “likely” amount? Representative (modal) values are considered likely even when their probabilities are low10 cited
2021Consumers’ Attitudes Toward Sustainable Luxury Products: The Role of Perceived Uniqueness and Conspicuous Consumption Orientation10 cited
2023People prefer to predict middle, most likely quantitative outcomes (not extreme ones), but they still over-estimate their likelihood2 cited