"There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate to blind acceptance of authority more than in the slippery world of averages, correlations, graphs, and trends. Huff sought to break through "the daze that follows the collision of statistics with the human mind" with this slim volume, first published in 1954. The book remains relevant as a wake-up call for people unaccustomed to examining the endless flow of numbers pouring from Wall Street, Madison Avenue, and everywhere else someone has an axe to grind, a point to prove, or a product to sell. "The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify," warns Huff.
Although many of the examples used in the book are charmingly dated, the cautions are timeless. Statistics are rife with opportunities for misuse, from "gee-whiz graphs" that add nonexistent drama to trends, to "results" detached from their method and meaning, to statistics' ultimate bugaboo--faulty cause-and-effect reasoning. Huff's tone is tolerant and amused, but no-nonsense. Like a lecturing father, he expects you to learn something useful from the book, and start applying it every day. Never be a sucker again, he cries!
Even if you can't find a source of demonstrable bias, allow yourself some degree of skepticism about the results as long as there is a possibility of bias somewhere. There always is.
Read How to Lie with Statistics. Whether you encounter statistics at work, at school, or in advertising, you'll remember its simple lessons. Don't be terrorized by numbers, Huff implores. "The fact is that, despite its mathematical base, statistics is as much an art as it is a science." --Therese Littleton
达莱尔·哈夫,美国统计专家。1913年出生在美国爱荷华州,毕业于爱荷华州立大学(the State University of lowa),获得学士学位和硕士学位,在此期间他由于成绩优异加入了美国大学优等生的荣誉学会(Phi Beta Kappa),同时还参加了社会心理学、统计学以及智力测验等研究项目。达莱尔·哈夫的文章多见于《哈泼斯》、《星期六邮报》、《时尚先生》以及《纽约时报》等美国顶尖媒体。1963年,由于他的贡献被授予国家学院钟奖(National School Bell )
(原是为平媒而写,大幅增改后贴出来) 首先,给有意阅读本文的提个醒,本文不涉及枯燥的数学公式与推理过程,本人也讨厌看到这个,这通常意味着通俗易懂,但对另一些人来说就是意味着浅显易懂,浅显到不用读的地步,不过浅显的好处就是不用耗费太多的脑细胞在阅读上,往往因...
评分道高一尺魔高一丈。所谓买的没有卖的精。现代化的侦察技术的发展也催生了犯罪分子的作案技术的提升。世界本身就是在设下陷阱和发现陷阱的矛盾中发展的。就算发现再多的统计上的陷阱,“有心人”还是会在你不知的领域重新设下陷阱,所以生活变成了侦察和反侦察的游戏。 虽然从...
爷爷推荐
评分实际操作中,要在短时间内发现一个数据的无用或者欺骗性可能是件很复杂的事,虽然基本原理就那么些。
评分作为<asking the right questions>里<can the statistics be deceptive?>那章的补充~
评分非常适用于argument的理解。就是你说一个survey,怎么能钻牛角尖武断先假设它有不公正呢?可它就是会有非常非常多的问题,本身,任何一个survey的客观性。
评分一本薄薄的小书,是看编程珠玑的某一页提到的推荐。找来原版pdf打印出来花了不到一周时间读完了,主要列举了日常生活中常见的用统计数据进行欺骗的方法~这本书好像还有中译本(《统计陷阱》),然而翻译就差强人意了,而且很多地方有意略去不翻…例如第九章关于马克思剩余价值那部分…呵呵哒~
本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度,google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有