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

By: Contributor(s): Material type: TextTextPublisher: New York : Little, Brown Spark, 2021Description: ix, 454 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780008309008 (pbk.)
Subject(s): DDC classification:
  • 23 153.83 KAH 016381
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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Holdings
Item type Current library Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 153.83 KAH 016381 (Browse shelf(Opens below)) Available 016381

Included bibliographic references (pages 439-454) 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.

English

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