Noise

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Daniel Kahneman
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具体描述

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.

用户评价

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##Truth nothing but the harsh truth. Not much absorption and takeaway from it. Exemplified with several industries , ranging from law systems,hospital , criminal cases etc. theoretically applicable than practice

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##还行吧

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##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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We don’t know what we don’t know. What we do know might be wrong,incomplete,misleading. Averaging multiple, independent judgments of a single question - accurate answer. Ask yourself the same question multiple times, the average of your responses will be relatively noiseless and surprisingly close to the truth. What share of the world’s airports

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##主要讲的是system noise以及怎么从一个大的机构/企业的角度来减少noise,观点不算新,但很系统地把这个概念讲得透、讲得通俗,而且把重要性讲明白了

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##废话太多了!废话!

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##要有意识地去发现并且判断头脑里的噪音,写得比较学术研究,有实验有数据分析,没有《思考快与慢》通俗易懂

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We don’t know what we don’t know. What we do know might be wrong,incomplete,misleading. Averaging multiple, independent judgments of a single question - accurate answer. Ask yourself the same question multiple times, the average of your responses will be relatively noiseless and surprisingly close to the truth. What share of the world’s airports

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##统计学原理很好懂,如何把这个东西讲的大家都懂比较难。如果不是对脑科学、心理学有研究,那么略读掌握概念就好了。

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