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

By: Contributor(s): Publisher: New York : Little, Brown Spark, 2021Copyright date: ©2021Edition: First editionDescription: ix, 454 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0316451401
  • 9780316451406
Subject(s): Genre/Form: DDC classification:
  • 153.8/3 23
LOC classification:
  • BF448 .K35 2021
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.
Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Book Book NMC Library Stacks BF448 .K35 2021 (Browse shelf(Opens below)) 1 Available 33039001497733

Includes bibliographical references (pages 399-438) 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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