Noise

Noise 下載 mobi epub pdf 電子書 2026

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

##白瞎瞭Kahneman的名頭,一般般

評分

##三星半吧 雖然這個三星半裏麵就肯定有level noise和pattern noise 完全可以砍掉三分之二篇幅就能說明白,好在比較良心的用各種章節切分加大標題加粗 對我最有幫助是附錄的checklist

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

##三星半吧 雖然這個三星半裏麵就肯定有level noise和pattern noise 完全可以砍掉三分之二篇幅就能說明白,好在比較良心的用各種章節切分加大標題加粗 對我最有幫助是附錄的checklist

評分

##白瞎瞭Kahneman的名頭,一般般

評分

##主要講的是system noise以及怎麼從一個大的機構/企業的角度來減少noise,觀點不算新,但很係統地把這個概念講得透、講得通俗,而且把重要性講明白瞭

評分

##內容很好 就是文筆一般 太冗長囉嗦 看的人昏昏欲睡????

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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