Book contents
- Frontmatter
- Contents
- List of Contributors
- Preface
- Introduction – Heuristics and Biases: Then and Now
- PART ONE THEORETICAL AND EMPIRICAL EXTENSIONS
- 1 Extensional versus Intuitive Reasoning
- 2 Representativeness Revisited: Attribute Substitution in Intuitive Judgment
- 3 How Alike Is It? versus How Likely Is It?: A Disjunction Fallacy in Probability Judgments
- 4 Imagining Can Heighten or Lower the Perceived Likelihood of Contracting a Disease: The Mediating Effect of Ease of Imagery
- 5 The Availability Heuristic Revisited: Ease of Recall and Content of Recall as Distinct Sources of Information
- 6 Incorporating the Irrelevant: Anchors in Judgments of Belief and Value
- 7 Putting Adjustment Back in the Anchoring and Adjustment Heuristic
- 8 Self-Anchoring in Conversation: Why Language Users Do Not Do What They “Should”
- 9 Inferential Correction
- 10 Mental Contamination and the Debiasing Problem
- 11 Sympathetic Magical Thinking: The Contagion and Similarity “Heuristics”
- 12 Compatibility Effects in Judgment and Choice
- 13 The Weighing of Evidence and the Determinants of Confidence
- 14 Inside the Planning Fallacy: The Causes and Consequences of Optimistic Time Predictions
- 15 Probability Judgment across Cultures
- 16 Durability Bias in Affective Forecasting
- 17 Resistance of Personal Risk Perceptions to Debiasing Interventions
- 18 Ambiguity and Self-Evaluation: The Role of Idiosyncratic Trait Definitions in Self-Serving Assessments of Ability
- 19 When Predictions Fail: The Dilemma of Unrealistic Optimism
- 20 Norm Theory: Comparing Reality to Its Alternatives
- 21 Counterfactual Thought, Regret, and Superstition: How to Avoid Kicking Yourself
- PART TWO NEW THEORETICAL DIRECTIONS
- PART THREE REAL-WORLD APPLICATIONS
- References
- Index
2 - Representativeness Revisited: Attribute Substitution in Intuitive Judgment
from PART ONE - THEORETICAL AND EMPIRICAL EXTENSIONS
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- List of Contributors
- Preface
- Introduction – Heuristics and Biases: Then and Now
- PART ONE THEORETICAL AND EMPIRICAL EXTENSIONS
- 1 Extensional versus Intuitive Reasoning
- 2 Representativeness Revisited: Attribute Substitution in Intuitive Judgment
- 3 How Alike Is It? versus How Likely Is It?: A Disjunction Fallacy in Probability Judgments
- 4 Imagining Can Heighten or Lower the Perceived Likelihood of Contracting a Disease: The Mediating Effect of Ease of Imagery
- 5 The Availability Heuristic Revisited: Ease of Recall and Content of Recall as Distinct Sources of Information
- 6 Incorporating the Irrelevant: Anchors in Judgments of Belief and Value
- 7 Putting Adjustment Back in the Anchoring and Adjustment Heuristic
- 8 Self-Anchoring in Conversation: Why Language Users Do Not Do What They “Should”
- 9 Inferential Correction
- 10 Mental Contamination and the Debiasing Problem
- 11 Sympathetic Magical Thinking: The Contagion and Similarity “Heuristics”
- 12 Compatibility Effects in Judgment and Choice
- 13 The Weighing of Evidence and the Determinants of Confidence
- 14 Inside the Planning Fallacy: The Causes and Consequences of Optimistic Time Predictions
- 15 Probability Judgment across Cultures
- 16 Durability Bias in Affective Forecasting
- 17 Resistance of Personal Risk Perceptions to Debiasing Interventions
- 18 Ambiguity and Self-Evaluation: The Role of Idiosyncratic Trait Definitions in Self-Serving Assessments of Ability
- 19 When Predictions Fail: The Dilemma of Unrealistic Optimism
- 20 Norm Theory: Comparing Reality to Its Alternatives
- 21 Counterfactual Thought, Regret, and Superstition: How to Avoid Kicking Yourself
- PART TWO NEW THEORETICAL DIRECTIONS
- PART THREE REAL-WORLD APPLICATIONS
- References
- Index
Summary
The program of research now known as the heuristics and biases approach began with a survey of 84 participants at the 1969 meetings of the Mathematical Psychology Society and the American Psychological Association (Tversky & Kahneman, 1971). The respondents, including several authors of statistics texts, were asked realistic questions about the robustness of statistical estimates and the replicability of research results. The article commented tongue-in-heek on the prevalence of a belief that the law of large numbers applies to small numbers as well: Respondents placed too much confidence in the results of small samples, and their statistical judgments showed little sensitivity to sample size.
The mathematical psychologists who participated in the survey not only should have known better – they did know better. Although their intuitive guesses were off the mark, most of them could have computed the correct answers on the back of an envelope. These sophisticated individuals apparently had access to two distinct approaches for answering statistical questions: one that is spontaneous, intuitive, effortless, and fast; and another that is deliberate, rule-governed, effortful, and slow. The persistence of large biases in the guesses of experts raised doubts about the educability of statistical intuitions. Moreover, it was known that the same biases affect choices in the real world, where researchers commonly select sample sizes that are too small to provide a fair test of their hypotheses (Cohen, 1969, 1992).
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- Heuristics and BiasesThe Psychology of Intuitive Judgment, pp. 49 - 81Publisher: Cambridge University PressPrint publication year: 2002
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