伊恩•艾瑞斯(Ian Ayres) 計量經濟學傢、律師,耶魯大學法學院和管理學院教授,stickK.com網站的創始人,《法律、經濟學和組織機構期刊》(Journal of Law, Economics, and Organization)編輯,曾著有11本書,發錶過100篇文章。他是《福布斯》雜誌的專欄作傢,著名公共廣播節目《Marketplace》的時事評論員,是《紐約時報》“魔鬼經濟學”博客的專欄作傢之一。
其著作《Insincere Promises: The Law of Misrepresented Intent》獲得瞭由美國藝術與科學學院頒發的Scribes圖書奬。他成就卓著、名聲斐然,曾受到《黃金時間實況》、《奧普拉脫口秀》、《早安美國》節目以及《時代周刊》《Vogue》等雜誌的采訪,可以說伊恩•艾瑞斯是那一代人裏成就最多、文章觀點被引用最多、名氣最大的法學教授。
Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted?
Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.
Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.
First of all, 我老人家就是喜欢没事收集和tweek data,分析看看有没有什么trend的,虽然生活里面没有什么设计randomized trial验证假设的机会,但是这个概念实在非常贴近内心。Overall I like the book,虽然新信息不是很多,这个喜欢来自于自己的bias吧。 喜欢本书的另外原...
評分Super Crunchers 这本书向我们展现了现代人,或者说现代的西方学者,是怎么研究社会科学的。在我国,常常是很多人因为感到数学不好学而去学社会科学,比如说去学法律。这样自然选择的结果是产生了一大批像李银河这样感情充沛而不切实际的所谓学者。然而现在最领先的西方学者已...
評分这本书相当大程度的冲击了我的观念,现在的超级数字天才们已经可以做到了让我难以想象的地步了,可以预测选举结果,可以预测法官判定结果,可以预测采购结果,等等这些。 我现在唯一有些想法的就是,是不是也可以预测金融市场呢?不过估计是不行的。 但是至少有一点可以肯定,...
評分《大数据思维与决策》 用了一周时间把这本书通读了一遍,总结一下读书的感受吧。 初看这本书的时候是在一年前,兴趣不大,原因在于翻译的文笔太过生涩,我不喜欢,另外,故事性的讲述让这类题材的书多少增加了些趣味性,但所选故事专业领域性很强,有些不熟悉的领域读起来较为...
評分作者推荐阅读: Ray C. Fair, Predicting Presidential Elections and Other Things (2002). Steven Levitt and Stephen J. Dubner, Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (2005). John Allen Paulos, Innumeracy: Mathem...
迴歸分析、隨機實驗,沒瞭。這本書更像是統計數據分析的科普小冊子,僅供文科pm同學看看。
评分迴歸分析、隨機實驗,沒瞭。這本書更像是統計數據分析的科普小冊子,僅供文科pm同學看看。
评分Data-driven decision making
评分覺得還挺有意思的
评分稍微還有那麼點用
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