具体描述
Jordan Ellenberg is a professor of mathematics at the University of Wisconsin-Madison, with a Ph.D. in mathematics from Harvard and an MFA in creative writing from Johns Hopkins. His areas of research specialization are number theory and algebraic geometry. He has written articles on mathematical topics in the New York Times, the Washington Post, Wired, the Wall Street Journal, the Boston Globe, and the Believer, and is a regular columnist for Slate.
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The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands
The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.
Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?
用户评价
##英文名叫how not to be wrong。书都是围绕这个写的，非常切题。但是中文名是什么鬼，受了魔鬼经济学的影响么，完全不知所云。 也是中了某推荐的招，kindle上买的，还好几乎没有什么数学公式，否则kindle看太累。 讲的内容比较浅，基本完全在本科高等数学的水平内，理念的话中学...
评分##cant even finish it... too general and too common sense
评分 评分作者Ellenbery开始将数学由简单到复杂，解决问题由简单到复杂分成四象限，该书着重讲述简单数学解决复杂问题这个象限。内容从古希腊人无理数的发现，圆周率的计算，概率统计与投资，与彩票设计，几何结构与通信编码，Fisher的假设检验与Neumann的回归分析的争论，Shannon的通信原理，投票选举中的Condorcet 悖论，Condor的提出以数学定量分析的社会科学推动社会前进。整个书涉猎数学范围很广并且与当今社会的空间通信编码，经济，金融投资，社会发展紧密联系，非常好。
评分##作者把数学根据simple-complicated VS shallow-profound分成四部分，旨在讲述profound and simple的部分，燃鹅私以为失败了。数学那么广大，统计概率部分确实是如书中所说是人们比较有intuition的部分，所以也比较晚加入正式的数学体系，也自然成了此书为了让数学贴近生活的重点，应用统计的话不如看chance rule。感觉这本四不像。不过能感到作者对数学的满腔热忱，想感染大众，心领了?
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