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伊恩•艾瑞斯（Ian Ayres） 计量经济学家、律师，耶鲁大学法学院和管理学院教授，stickK.com网站的创始人，《法律、经济学和组织机构期刊》（Journal of Law, Economics, and Organization）编辑，曾著有11本书，发表过100篇文章。他是《福布斯》杂志的专栏作家，著名公共广播节目《Marketplace》的时事评论员，是《纽约时报》“魔鬼经济学”博客的专栏作家之一。
其著作《Insincere Promises: The Law of Misrepresented Intent》获得了由美国艺术与科学学院颁发的Scribes图书奖。他成就卓著、名声斐然，曾受到《黄金时间实况》、《奥普拉脱口秀》、《早安美国》节目以及《时代周刊》《Vogue》等杂志的采访，可以说伊恩•艾瑞斯是那一代人里成就最多、文章观点被引用最多、名气最大的法学教授。
- 统计
- 统计学
- 社会
- 思维
- 商业
- datascience
- BetterRead
An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers. Today more than ever, number crunching affects your life in ways you might not even imagine. Intuition and experience are no longer enough to make the grade. In order to succeed—even survive—in our data-based world, you need to become statistically literate.
Cutting-edge organizations are already crunching increasingly larger databases to find the unseen connections among seemingly unconnected things to predict human behavior with staggeringly accurate results. From Internet sites like Google and Amazon that use filters to keep track of your tastes and your purchasing history, to insurance companies and government agencies that every day make decisions affecting your life, the brave new world of the super crunchers is happening right now. No one who wants to stay ahead of the curve should make another keystroke without reading Ian Ayres’s engrossing and enlightening book.
具体描述
读后感
In simple words and in my opinion, super chrunching is using statistical methods to design experiments and analyze data to assist decision making. This book contains a lot of practical examples on how numbers influence industries, such as dating site, airli...
评分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...
评分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...
评分作者的宗旨是数据分析永远不可能完全取代传统的专家、机构、学者们做决策的职能，但是可以与这些直觉、经验、观察结合起来，作为辅证支持。 举几个有争议的例子 比如第八章： Direct Instruction 一开始就是形象的描述了什么是指导教学法。 指导教学法是完全按照指令来， 但是...
评分作者推荐阅读： 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...
用户评价
Sometimes it amazes me how scholars are able to fill a whole book with stuff that they can illustrate clearly in just one article. but the second part is not bad
评分量化模型
评分量化模型
评分Sometimes it amazes me how scholars are able to fill a whole book with stuff that they can illustrate clearly in just one article. but the second part is not bad
评分第一眼惊为天人 然后蹭蹭蹭往下掉的那种 如果期待值不高 那还行
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