How Not to Be Wrong pdf epub mobi txt 电子书下载 2026

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Jordan Ellenberg

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CONTENTS
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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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?

用户评价

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##有几章看不懂

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##cant even finish it... too general and too common sense

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##能把数学尤其是统计学讲得这么生动也是不易，这是一本可以当故事书看的数学书。

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##math theory for dummies，但我真的不喜欢math。

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##2016.07.24 - 2016.09.15 Summer Read

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##statistical inference科普

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##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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##2016.07.24 - 2016.09.15 Summer Read