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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
- 数据分析
- Economics
- 决策
- 系统思考
- 社会学
- 经济学
- 数学
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.
具体描述
读后感
这本书的主标题是"Super (Number) Crunchers", 副标题是"Why Thinking-by-Numbers Is the New Way to Be Smart". 前者和我的专业相关，后者则是在赞美我的专业，所以我本着自我肯定和自我欣赏的目的读了这本书 : P 写到这里，有必要澄清，读这本书绝对无需数学分析或高等数学...
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...
评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，...
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...
评分书是好书。就是翻译实在有点烂。害得还有些地方不怎么明白。但是具体也大概知道了。 作者不是用纯理论写的，而是主要用大量例子说明数据对不同行业带来革命性的变化。例如市场分析人员通过数据预测你想要购买的产品 ； eharmony通过个人性格预测你会和谁结婚 ；通过数据显示那...
用户评价
下周要考啊，还有五十多页没看。
评分datamining,
评分“The human mind tends to suffer from a number of well-documented cognitive failings and biases the distort our ability to predict accurately.” //"It's best to have the man and machine in dialogue with each other, but, when the two disagree, it's usually better to give the ultimate decision to the statistical prediction."
评分Data-driven decision making
评分稍微还有那么点用
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