From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.
Imagine that two doctors in the same city give different diagnoses to identical patients - or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants - or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical.
In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions.
Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times best sellers, Noise explains how and why humans are so susceptible to noise in judgment - and what we can do about it.
##The idea is simple but the solution is nonexistent
評分##比較囉嗦。社會科學的重重迷霧,讀完不會讓你覺得更清楚。消除噪音,大概就像要消除隨機性一樣徒勞吧?
評分##book about better evaluating error, and better making decisions. we should acknowledge that algorithms are better than human in reducing noise, while not worse than human in creating bias.
評分##統計學原理很好懂,如何把這個東西講的大傢都懂比較難。如果不是對腦科學、心理學有研究,那麼略讀掌握概念就好瞭。
評分##8.5/10.
評分##The idea is simple but the solution is nonexistent
評分##The idea is simple but the solution is nonexistent
評分##比較囉嗦。社會科學的重重迷霧,讀完不會讓你覺得更清楚。消除噪音,大概就像要消除隨機性一樣徒勞吧?
評分##book about better evaluating error, and better making decisions. we should acknowledge that algorithms are better than human in reducing noise, while not worse than human in creating bias.
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