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.
##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。
##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
##人类是不完美、前后不一的决策者,降噪是避免坏的流程、环境和情绪引发的噪音干扰我们的决策,但好的决策力却取决于决策者是否有开放的心态、是否能放下执念,是否在新的事实面前用于否定昨天的自己,是否能吸纳新的信息之后更新自己的认知,终生学习,快速学习。
##很简单的理论水了一本书,信息密度很低,我怀疑多少捧吹的人真正读完了全书……唯一欣慰的可能是高度肯定了智商对于判断力和能力的作用 - 勤劳和汗水固然让人不至于完全失去希望,但真正的高难度复杂学科需要的就是99%智商和1%智商带来的灵感呀……🤦🏻♀️
##A few interesting concepts clarified: noise vs bias, pattern noise vs occasion noise, rules vs standard.
##废话太多了!废话!
##A few interesting concepts clarified: noise vs bias, pattern noise vs occasion noise, rules vs standard.
##废话太多了!废话!
##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