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.
第二本啃完的统计学书籍 比起第一本讲贝叶斯理论的这本专著于统计学中的逻辑陷阱,但我真的不知道为什么市面上的统计学书籍都执着于把自己命名为“极简”“生活中的”,让人看起来好像没那么硬敢于翻开第一页(但其实还是很硬)。特别有意思的是我同期看小岛宽之和加里 史密斯...
评分短评里不能贴图,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...
评分 评分【绝不是书评系列】 就像很多电影,我可能内容记不太清楚了,但我记得当年看电影时候的场景,然后有种恍如隔世的意味深长与淡淡忧伤。统计学也是这样,本科的时候学习概率论,没记错我考了60分,查成绩前忐忑不安,查完高呼老师万岁。然后上了研究生,研一就学《医学统计学》,...
评分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...
一直不喜欢励志、how to(包括某些所谓管理学图书)、技术分析、特异功能,这本书说出了其所以然。
评分一直不喜欢励志、how to(包括某些所谓管理学图书)、技术分析、特异功能,这本书说出了其所以然。
评分一直不喜欢励志、how to(包括某些所谓管理学图书)、技术分析、特异功能,这本书说出了其所以然。
评分一直不喜欢励志、how to(包括某些所谓管理学图书)、技术分析、特异功能,这本书说出了其所以然。
评分一直不喜欢励志、how to(包括某些所谓管理学图书)、技术分析、特异功能,这本书说出了其所以然。
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.quotespace.org All Rights Reserved. 小美书屋 版权所有