Noise: a flaw in human judgment
(Book)
Author:
Contributors:
Published:
New York : Little, Brown Spark, 2021.
Format:
Book
Edition:
First edition.
Physical Desc:
ix, 454 pages : illustrations ; 25 cm
Status:
CMC Quigley Library
BF447 .K34 2021
Description
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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Citations
APA Citation (style guide)
Kahneman, D., Sibony, O., & Sunstein, C. R. (2021). Noise: a flaw in human judgment. First edition. New York, Little, Brown Spark.
Chicago / Turabian - Author Date Citation (style guide)Kahneman, Daniel, 1934-2024, Olivier, Sibony and Cass R., Sunstein. 2021. Noise: A Flaw in Human Judgment. New York, Little, Brown Spark.
Chicago / Turabian - Humanities Citation (style guide)Kahneman, Daniel, 1934-2024, Olivier, Sibony and Cass R., Sunstein, Noise: A Flaw in Human Judgment. New York, Little, Brown Spark, 2021.
MLA Citation (style guide)Kahneman, Daniel, et al. Noise: A Flaw in Human Judgment. First edition. New York, Little, Brown Spark, 2021.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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More Details
Language:
English
ISBN:
9780316451406, 0316451401, 9780316266659, 0316266655
Notes
Bibliography
Includes bibliographical references (pages 399-438) and index.
Description
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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Grouped Work ID:
a26bd953-cbcb-6d26-4c35-4a98e1c0df34
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Record Information
| Last Sierra Extract Time | Dec 19, 2024 03:18:10 PM |
|---|---|
| Last File Modification Time | Dec 19, 2024 03:18:24 PM |
| Last Grouped Work Modification Time | Dec 26, 2024 09:59:18 PM |
MARC Record
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| 100 | 1 | |a Kahneman, Daniel, |d 1934-2024, |0 https://id.loc.gov/authorities/names/n81055169 |e author. | |
| 245 | 1 | 0 | |a Noise : |b a flaw in human judgment / |c Daniel Kahneman, Olivier Sibony, Cass R. Sunstein. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York : |b Little, Brown Spark, |c 2021. | |
| 264 | 4 | |c ©2021 | |
| 300 | |a ix, 454 pages : |b illustrations ; |c 25 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 399-438) and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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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| 650 | 0 | |a Judgment. |0 https://id.loc.gov/authorities/subjects/sh85070913 | |
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