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
7 - Putting Adjustment Back in the Anchoring and Adjustment Heuristic
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
In what year was George Washington elected President? What is the freezing point of vodka? Few people know the answers to these questions, but most can arrive at a reasonable estimate by tinkering with a value they know is wrong. Most know that the United States declared its independence in 1776, so Washington must have been elected sometime after that. And most people also know that alcohol freezes at a lower temperature than water, so vodka must freeze at something colder than 32°F. To answer questions like these, in other words, people may spontaneously anchor on information that readily comes to mind and adjust their responses in a direction that seems appropriate, using what Tversky and Kahneman (1974) called the anchoring and adjustment heuristic. Although this heuristic is often helpful, adjustments tend to be insufficient, leaving people's final estimates biased toward the initial anchor value.
To examine this heuristic, Tversky and Kahneman (1974) developed a paradigm in which participants are given an irrelevant number and asked if the answer to a question is greater or less than that value. After this comparative assessment, participants provide an absolute answer. Countless experiments have shown that people's absolute answers are influenced by the initial comparison with the irrelevant anchor. People estimate that Gandhi lived to be roughly 67 years old, for example, if they first decided whether he died before or after the age of 140, but only 50 years old if they first decided whether he died before or after the age of 9 (Strack & Mussweiler, 1997).
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- Heuristics and BiasesThe Psychology of Intuitive Judgment, pp. 139 - 149Publisher: Cambridge University PressPrint publication year: 2002
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