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 )
"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
前段时间看到一份数据,说中国人均存款是7万多。新浪微博做了一个热点话题,问“你拖后腿了吗”?如果新浪多点节操,这个话题的相关问题应该是:“你又被平均数据忽悠了吗?” 互联网带来的信息剧增给我们处理信息的能力提出了新的要求。尤其在中国,太多中国人缺乏批...
评分http://bizchedan.blogspot.com/2009/04/blog-post_04.html “从上到下层层加码码到功成,从下到上级级掺水水到渠成。横批:数字化经济”。有意无意歪曲事实的数字充斥着我们的生活。作为消费者和公众,经常被误导或无所适从。作为员工,在上行下达的信息迷宫中疲于奔命。中国...
评分相信在大多数大学课堂上,教授们都在极力地推崇各种公式和概念,而忽略了最为重要的样本采集工作。样本在人们主观的、客观的、臆想的、心理的左右下,像拧细铁丝似的,随意弯曲,仅仅为了一个简单得不能再简单的目的——我就是科学的真实。 看到第35页,“仅仅在进行了大量的实...
评分前几天,我和一个象棋很厉害的叔叔下棋,两盘棋我一胜一负,赢的那盘纯属侥幸。然后我问这个叔叔:“xxx和你下棋谁更厉害?”我之所以这样问,是因为我说到的那个人棋艺也很高,在两年前我和他下的很多,但我几乎没有赢过他,而叔叔的回答着实让我开心不已,我以为我的棋艺有了...
评分本书原名《如何利用统计说谎》,由于意识不良,具有误导性,遂改名《统计陷阱》,中文新版改回接近原名的《统计数字会撒谎》(http://www.douban.com/subject/3595095/)。深谙统计之道的作者显然是个高超的骗子,本书虽如原名所说,可以当成行骗宝典,但作者本意并非如此,而...
作为一本老书,可读性颇高,内容也颇实用,真是十分难得,只不过我们今天还被同样的问题所困扰这一点实在是太悲哀了。
评分有点意思。但看完了,我都不知道以后怎么办好了,怀疑数据,却又无从证实。
评分作为<asking the right questions>里<can the statistics be deceptive?>那章的补充~
评分值得一读,数理统计说谎有两个方面:一个是操弄数据,一个是逻辑谬误。对付前者,值得一做的事是去学习数理统计基本知识,对付后者,就要加强逻辑思维能力了。
评分作者怎么有点左派宣传家的意思?
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