Noise : a flaw in human judgment (Book, 2021) [WorldCat.org]
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Noise : a flaw in human judgment

Author: Daniel Kahneman; Olivier Sibony; Cass R Sunstein
Publisher: New York : Little, Brown Spark, 2021. ©2021
Edition/Format:   Print book : English : First editionView all editions and formats
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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Genre/Form: Self-help publications
Document Type: Book
All Authors / Contributors: Daniel Kahneman; Olivier Sibony; Cass R Sunstein
ISBN: 9780316451406 0316451401 9780316266659 0316266655
OCLC Number: 1249942231
Description: ix, 454 pages : illustrations ; 25 cm
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.
Responsibility: Daniel Kahneman, Olivier Sibony, Cass R. Sunstein.

Abstract:

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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