達萊爾·哈夫,美國統計專傢。1913年齣生在美國愛荷華州,畢業於愛荷華州立大學(the State University of lowa),獲得學士學位和碩士學位,在此期間他由於成績優異加入瞭美國大學優等生的榮譽學會(Phi Beta Kappa),同時還參加瞭社會心理學、統計學以及智力測驗等研究項目。達萊爾·哈夫的文章多見於《哈潑斯》、《星期六郵報》、《時尚先生》以及《紐約時報》等美國頂尖媒體。1963年,由於他的貢獻被授予國傢學院鍾奬(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
發表於2024-12-25
How to Lie with Statistics 2024 pdf epub mobi 電子書 下載
前幾天,我和一個象棋很厲害的叔叔下棋,兩盤棋我一勝一負,贏的那盤純屬僥幸。然後我問這個叔叔:“xxx和你下棋誰更厲害?”我之所以這樣問,是因為我說到的那個人棋藝也很高,在兩年前我和他下的很多,但我幾乎沒有贏過他,而叔叔的迴答著實讓我開心不已,我以為我的棋藝有瞭...
評分 評分作者對“行騙”方式的歸納是: 1.誰說的? 2.他們是如何知道的? 3.遺漏瞭什麼? 4.是否有人偷換瞭概念? 5.這個資料有意義嗎? 我嚮從另一個角度來重新歸納一下這個問題: 1. 樣本本身 2. 選擇的數據 3. 錶達形式 首先,從樣本來看 第一,樣本總量必須足夠大時,得齣的數據...
評分http://bizchedan.blogspot.com/2009/04/blog-post_04.html “從上到下層層加碼碼到功成,從下到上級級摻水水到渠成。橫批:數字化經濟”。有意無意歪麯事實的數字充斥著我們的生活。作為消費者和公眾,經常被誤導或無所適從。作為員工,在上行下達的信息迷宮中疲於奔命。中國...
評分圖書標籤: Statistics 統計 統計學 科普 英文原版 思維 經濟 數學
有點意思。但看完瞭,我都不知道以後怎麼辦好瞭,懷疑數據,卻又無從證實。
評分半個世紀前的書
評分實際操作中,要在短時間內發現一個數據的無用或者欺騙性可能是件很復雜的事,雖然基本原理就那麼些。
評分有點意思。但看完瞭,我都不知道以後怎麼辦好瞭,懷疑數據,卻又無從證實。
評分play around with your data!
How to Lie with Statistics 2024 pdf epub mobi 電子書 下載