Noise

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Daniel Kahneman
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具體描述

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.

用戶評價

評分

##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

評分

##基本上是Gladwell和Levitt的混閤型産物。Gladwell是純業餘選手的口若懸河,《噪聲》則是用初級讀者可以接受的寫作模式寫一些簡單的學術概念;Levitt用很難得的數據來做齣意想不到的結果,而且思路寬闊,顯然是比那些論文綜述專業戶高不少,《噪音》沒這個高度,也不新穎,反而是把普通的概念翻來覆去地講,那些計量經濟學裏的概念新瓶裝舊酒,想拔高一下思想,還沒拔起來。 寫作語言平淡,偏暢銷書風格。 不知道看齣那麼多門道的評論者是怎麼悟齣來的。

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

##8.5/10.

評分

##8.5/10.

評分

##很簡單的理論水瞭一本書,信息密度很低,我懷疑多少捧吹的人真正讀完瞭全書……唯一欣慰的可能是高度肯定瞭智商對於判斷力和能力的作用 - 勤勞和汗水固然讓人不至於完全失去希望,但真正的高難度復雜學科需要的就是99%智商和1%智商帶來的靈感呀……????????‍♀️

評分

##白瞎瞭Kahneman的名頭,一般般

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

##要有意識地去發現並且判斷頭腦裏的噪音,寫得比較學術研究,有實驗有數據分析,沒有《思考快與慢》通俗易懂

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