How Not to Be Wrong pdf epub mobi txt 电子书 下载 2025
- 数学
- 思维
- 科普
- 英文原版
- 方法论
- Mathematics
- 英文版
- 美国
- 数学思维
- 逻辑推理
- 生活智慧
- 批判性思维
- 概率论
- 统计学
- 问题解决
- 数学应用
- 日常决策
- 思维训练
具体描述
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?
作者简介
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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目录信息
Title Page
Copyright
Dedication
Epigraph
WHEN AM I GOING TO USE THIS?
PART I
Linearity
One. LESS LIKE SWEDEN
Two. STRAIGHT LOCALLY, CURVED GLOBALLY
Three. EVERYONE IS OBESE
Four. HOW MUCH IS THAT IN DEAD AMERICANS?
Five. MORE PIE THAN PLATE
PART II
Inference
Six. THE BALTIMORE STOCKBROKER AND THE BIBLE CODE
Seven. DEAD FISH DON’T READ MINDS
Eight. REDUCTIO AD UNLIKELY
Nine. THE INTERNATIONAL JOURNAL OF HARUSPICY
Ten. ARE YOU THERE, GOD? IT’S ME, BAYESIAN INFERENCE
PART III
Expectation
Eleven. WHAT TO EXPECT WHEN YOU’RE EXPECTING TO WIN THE LOTTERY
Twelve. MISS MORE PLANES!
Thirteen. WHERE THE TRAIN TRACKS MEET
PART IV
Regression
Fourteen. THE TRIUMPH OF MEDIOCRITY
Fifteen. GALTON’S ELLIPSE
Sixteen. DOES LUNG CANCER MAKE YOU SMOKE CIGARETTES?
PART V
Existence
Seventeen. THERE IS NO SUCH THING AS PUBLIC OPINION
Eighteen. “OUT OF NOTHING I HAVE CREATED A STRANGE NEW UNIVERSE”
HOW TO BE RIGHT
Acknowledgments
Notes
Index
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读后感
《魔鬼数学》里有一道很难的数学题，论一根缝衣针掉落在地板上，与地板缝相交的概率是多少？缝衣针的长度正好等于地板缝的宽度。 原问题的提出者叫布封（Georges-Louis LeClerc, Comte de Buffon)，这个问题也被史称为**布封的面条问题**，使用高阶方式解决的家伙叫约瑟夫-埃米...
评分如果你是一个有“数学焦虑症”的人，你可能不会相信有一天你会爱上数学。 这本书讲得数学知识点都是中学通识难度，它的厉害之处是与社会实践结合的讲法和以培养数学思维模式的目的，学完之后可以明白数学的魅力。 原因在于，我们在学校所学的数学知识看上去不过是一堆沉闷的规...
评分听说这是比尔盖茨最喜欢的十本书之一，我才找来读。读了前两章，还有点鄙视盖茨，这么简单的数学概念，有啥值得推荐的？但是读到后面不得了，越来越引人入胜，有点放不下的感觉。 重点推荐第二、第三、第四部分。第一部分略浅显；而第五部分，尤其最后一章，感觉太拔高数学了，...
评分数学这门学科似乎被误解很深，在大多数人眼里，数学是枯燥乏味的计算，是艰深复杂的公式和符号，是数学奥林匹克竞赛。但是另一方面，数学家试图告诉你“数学好玩”，数学可以深入到日常生活中的应用当中去。 美国威斯康辛大学数学教授乔丹·艾伦伯格在《How Not to be Wrong》...
评分《魔鬼数学》里有一段话，是业内的实操。 - 事实上，信奉贝叶斯定理的统计学家通常对显著性检验不屑一顾，他们对“该新药是否有疗效”之类的问题不感兴趣，他们更关注如何建立一个预测模型，以便更准确地判断该药物的不同剂量在针对不同人群时可以取得什么样的疗效。即使真的用...
用户评价
math theory for dummies，但我真的不喜欢math。
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Inspiring, insightful, humorous, from a real mathematician. What more can you ask for?
评分虽然上学时一直数学苦手，但这本书必须五星推荐 - Mathematics is common sense by other means!
评分statistical inference科普
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