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Noise : a flaw in human judgment / Daniel Kahneman, Olivier Sibony, Cass R. Sunstein.

By: Kahneman, Daniel, 1934- [author.].
Contributor(s): Sibony, Olivier [author.] | Sunstein, Cass R [author.].
Publisher: New York : Little, Brown Spark, ©2021Copyright date: ©2021Edition: First edition.Description: 454 p: illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780316451406; 0316451401.Subject(s): Decision making | Reasoning (Psychology) | Judgment | Cognitive styles | PSYCHOLOGY / Applied Psychology | PSYCHOLOGY / Cognitive Psychology & Cognition | PSYCHOLOGY / Social Psychology | Cognitive styles | Decision making | Judgment | Reasoning (Psychology)Genre/Form: Self-help publications. | Print books. | Self-help publications.
Contents:
Introduction: Two kinds of error -- Part I. Finding noise: Crime and noisy punishment ; A noisy system ; Singular decisions -- Part II. Your mind is a measuring instrument: Matters of judgment ; Measuring error ; The analysis of noise ; Occasion noise ; How groups amplify noise -- Part III. Noise in predictive judgment: Judgments and models ; Noiseless rules ; Objective ignorance ; The valley of the normal -- Part IV. How noise happens: Heuristics, biases, and noise ; The matching operation ; Scale ; Patterns ; The sources of noise -- Part V. Improving judgments: Better judges for better judgments ; Debiasing and decision hygiene ; Sequencing information in forensic science ; Selection and aggregation in forecasting ; Guidelines in medicine ; Defining the scale in performance ratings ; Structure in hiring ; The mediating assessments protocol -- Part VI. Optimal noise: The costs of noise reduction ; Dignity ; Rules or standards? -- Review and conclusion: Taking noise seriously -- Epilogue: A less noisy world -- Appendix A: How to conduct a noise audit -- Appendix B: A checklist for a decision observer -- Appendix C: Correcting predictions.
Summary: Discusses why people make bad judgments and how to make better ones by reducing the influence of "noise"--variables that can cause bias in decision making--and draws on examples in many fields, including medicine, law, economic forecasting, forensic science, strategy, and personnel selection.
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Current location Call number Status Date due Barcode Item holds
On Shelf BF447 .K34 2021 (Browse shelf) Available AU00000000018449
On Shelf BF447 .K34 2021 (Browse shelf) Available AU00000000018691
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Includes bibliographical references and index.

Introduction: Two kinds of error -- Part I. Finding noise: Crime and noisy punishment ; A noisy system ; Singular decisions -- Part II. Your mind is a measuring instrument: Matters of judgment ; Measuring error ; The analysis of noise ; Occasion noise ; How groups amplify noise -- Part III. Noise in predictive judgment: Judgments and models ; Noiseless rules ; Objective ignorance ; The valley of the normal -- Part IV. How noise happens: Heuristics, biases, and noise ; The matching operation ; Scale ; Patterns ; The sources of noise -- Part V. Improving judgments: Better judges for better judgments ; Debiasing and decision hygiene ; Sequencing information in forensic science ; Selection and aggregation in forecasting ; Guidelines in medicine ; Defining the scale in performance ratings ; Structure in hiring ; The mediating assessments protocol -- Part VI. Optimal noise: The costs of noise reduction ; Dignity ; Rules or standards? -- Review and conclusion: Taking noise seriously -- Epilogue: A less noisy world -- Appendix A: How to conduct a noise audit -- Appendix B: A checklist for a decision observer -- Appendix C: Correcting predictions.

Discusses why people make bad judgments and how to make better ones by reducing the influence of "noise"--variables that can cause bias in decision making--and draws on examples in many fields, including medicine, law, economic forecasting, forensic science, strategy, and personnel selection.

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