Did you know that baseball players whose names begin with the letter “D” are more likely to die young? Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk of pancreatic cancer? All of these “facts” have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics.
As Nobel Prize–winning economist Ronald Coase once cynically observed, “If you torture data long enough, it will confess.” Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful indicators and total rubbish. Not only do others use data to fool us, we fool ourselves.
With the breakout success of Nate Silver’s The Signal and the Noise, the once humdrum subject of statistics has never been hotter. Drawing on breakthrough research in behavioral economics by luminaries like Daniel Kahneman and Dan Ariely and taking to task some of the conclusions of Freakonomics author Steven D. Levitt, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around.
Gary Smith is the Fletcher Jones Professor of Economics at Pomona College in Claremont, California. He received his Ph.D. in Economics from Yale University and taught there as Assistant Professor for seven years. He has won two teaching awards and authored more than seventy academic papers, nine textbooks, and seven educational software programs. This is his first trade book.
首先想好你的观点:初中生都爱吃棒棒糖! 然后用数据证明你的观点。 不好!数据好像反对了我的观点。 那一定是选择数据的时间错误了。减一年。改为:初一到初二的初中生都爱吃棒棒糖! 还是不行。 那一定是选择数据的对象错误了,我的观点只针对女性。改为:初一到初二的女初中...
評分当统计学摒弃公式,告别说教,剩下的是什么? 剩下的可能就是这本《简单统计学》 一本书构建统计思维 这是一本英语四级没过外加高数补考四遍才过的纯种学渣读了都能大有裨益的作品。 19章的内容建构起统计思维:对于模式的认同,让我们将不相关的事情联系起来,选择性地处理与...
評分BB:先从书名说起吧。原名是Standard Deviations,前面这个词大家都知道,就是标准,后面这个词大家不是很熟悉,是偏差,加起来大家又熟悉了,就是标准差。 AA:哦……那这个书名是什么意思? BB:标准差是统计学常用术语,原本是正规统计学中的常见现象,在这里是作为讽刺。人...
評分有人说,建造采石场有利于附近房价的增长。有的人对此嗤之以鼻,但经过考察发现,建造采石场后,附近的房价在五年内平均以3%的速度增长。 我们仅凭常识便可以判断,建造采石场有利于附近房价的增长是不成立的。事实上,在建采石场那年,整个城市的房价都开始增长。无论建不建采...
評分短评里不能贴图,思维导图只好放书评里了。 书评一定要求超过140字,短评不让贴图???? 我不想写那么多字,怎么了!我不想写那么多字,怎么了!我不想写那么多字,怎么了!我不想写那么多字,怎么了!我不想写那么多字,怎么了!我不想写那么多字,怎么了!我不想写那么多字,怎...
一直不喜歡勵誌、how to(包括某些所謂管理學圖書)、技術分析、特異功能,這本書說齣瞭其所以然。
评分一直不喜歡勵誌、how to(包括某些所謂管理學圖書)、技術分析、特異功能,這本書說齣瞭其所以然。
评分一直不喜歡勵誌、how to(包括某些所謂管理學圖書)、技術分析、特異功能,這本書說齣瞭其所以然。
评分一直不喜歡勵誌、how to(包括某些所謂管理學圖書)、技術分析、特異功能,這本書說齣瞭其所以然。
评分一直不喜歡勵誌、how to(包括某些所謂管理學圖書)、技術分析、特異功能,這本書說齣瞭其所以然。
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