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?
##statistical inference科普
評分作者Ellenbery開始將數學由簡單到復雜,解決問題由簡單到復雜分成四象限,該書著重講述簡單數學解決復雜問題這個象限。內容從古希臘人無理數的發現,圓周率的計算,概率統計與投資,與彩票設計,幾何結構與通信編碼,Fisher的假設檢驗與Neumann的迴歸分析的爭論,Shannon的通信原理,投票選舉中的Condorcet 悖論,Condor的提齣以數學定量分析的社會科學推動社會前進。整個書涉獵數學範圍很廣並且與當今社會的空間通信編碼,經濟,金融投資,社會發展緊密聯係,非常好。
評分##Existence那章看到起雞皮疙瘩
評分##statistical inference科普
評分##讀瞭一半不想讀瞭
評分##李剋忠思想法,看著玩玩還行。有些插科打諢,比如說George是真·cutest Beatle,還是很好玩的。
評分##雖然我對書中提到的大部分概念並不陌生,但仍然學到不少東西。作者把很多看似毫不相乾的概念或現象巧妙地聯係到一起,展現齣數學的美妙和無所不在。
評分##有幾章看不懂
評分##作者把數學根據simple-complicated VS shallow-profound分成四部分,旨在講述profound and simple的部分,燃鵝私以為失敗瞭。數學那麼廣大,統計概率部分確實是如書中所說是人們比較有intuition的部分,所以也比較晚加入正式的數學體係,也自然成瞭此書為瞭讓數學貼近生活的重點,應用統計的話不如看chance rule。感覺這本四不像。不過能感到作者對數學的滿腔熱忱,想感染大眾,心領瞭????
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