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2025-02-03
How to Lie with Statistics 2025 pdf epub mobi 電子書 下載
問:你隻有10平米的房屋,鄰居從90平米換到190平米,你的居住麵積有沒有增加? 答:沒有。 錯,你在平均住房麵積裏增加瞭50平米。 這雖然是有關平均數的一則諷刺笑話,但卻很能夠說明我們常常會被各種各樣的統計數字所欺騙和愚弄,但我們卻並非能夠敏銳的洞察一切,原因就是...
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PS:有人說它簡單,殊不知德國統計學教授《統計數據的真相》一書的作者瓦爾特·剋萊默先生將之譽為“一切靈感的源泉”,我想這就是大傢的魅力,化復雜為簡單堪稱智慧 有人一聽“統計”就搖頭,靠近一些,翻開讀上兩段,還統計一個“清白”…… ——————————...
評分這本書的英文名直譯就是“如何利用統計來撒謊”,除瞭幫助我們瞭解社會上很多統計真相外,其實裏麵的很多內容都是可以利用的。尤其在中國這塊神奇的土地上,50年前的書還是有利用價值的,畢竟zf和研究所也樂此不疲。這本書是本很好的入門書,字數也不多,而且可讀性非常好。 ...
評分圖書標籤: Statistics 統計 統計學 科普 英文原版 思維 經濟 數學
雖然是很老的書瞭,但很有意思
評分作為一本老書,可讀性頗高,內容也頗實用,真是十分難得,隻不過我們今天還被同樣的問題所睏擾這一點實在是太悲哀瞭。
評分作為一本老書,可讀性頗高,內容也頗實用,真是十分難得,隻不過我們今天還被同樣的問題所睏擾這一點實在是太悲哀瞭。
評分非常適用於argument的理解。就是你說一個survey,怎麼能鑽牛角尖武斷先假設它有不公正呢?可它就是會有非常非常多的問題,本身,任何一個survey的客觀性。
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。
How to Lie with Statistics 2025 pdf epub mobi 電子書 下載