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Stat-Spotting: A Field Guide to Identifying Dubious Data

机译:Stat-Spotting:识别可疑数据的现场指南

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摘要

In the Internet age, bad statistics can be propagated relentlessly, sometimes causing alarm or harm. Joel Best, a professor of Sociology and Criminal Justice at the University of Delaware, has written several popular books in the past decade that help nonstatisticians make sense out of everyday statistics. While there is some overlap with his previous books, his latest is arguably the best in terms of concise practical advice for the lay reader. The word "data" in the title signals his intent to focus on interpreting numbers without the technical overtones of "statistics" in its title. In this entertaining book, Best spends comparatively less time on why and how statistics often are "socially constructed" and more time on how to separate "factoids" from "fictoids" in numerical data.
机译:在互联网时代,错误的统计信息会不断传播,有时会引起警报或伤害。特拉华大学社会学和刑事司法教授乔尔·贝斯特(Joel Best)在过去十年中写了几本受欢迎的书,以帮助非统计学家从日常统计中理解。尽管他的前几本书有些重叠,但就为普通读者提供的简洁实用建议而言,他的最新著作无疑是最好的。标题中的“数据”一词表示他打算专注于解释数字,而标题中没有“统计”的技术含义。在这本有趣的书中,贝斯特花了相对较少的时间在统计数据为什么要被“社会地构建”上以及如何经常被“社会地构建”上,而花了更多的时间在如何将数值数据中的“类固醇”与“类胶质”分离上。

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