新はてなブックマークでも使われてるComplement Naive Bayesを解説するよ - 射撃しつつ前転
http://d.hatena.ne.jp/tkng/20081217/1229475900

新はてなブックマークではブックマークエントリをカテゴリへと自動で分類しているが、このカテゴリ分類に使われているアルゴリズムはComplement Naive Bayesらしい。今日はこのアルゴリズムについて紹介してみる。

Complement Naive Bayes

Intuitive visual explanation of Bayes' theorem using Venn diagrams

I recently came up with what I think is an intuitive way to explain Bayes’ Theorem. I searched in google for a while and could not find any article that explains it in this particular way. Of course there’s the wikipedia page, that long article by Yudkowsky, and a bunch of other explanations and tutorials. But none of them have any pictures. So without further ado, and with all the chutzpah I can gather, here goes my explanation.

Good story on how much science is messed up by misuse of statistics

Tom Siegfried, Mar 27, 2010 "uring the past century, though, a mutant form of math has deflected science’s heart from the modes of calculation that had long served so faithfully. Science was seduced by statistics, the math rooted in the same principles that guarantee profits for Las Vegas casinos. Supposedly, the proper use of statistics makes relying on scientific results a safe bet. But in practice, widespread misuse of statistical methods makes science more like a crapshoot." "Statistical tests are supposed to guide scientists in judging whether an experimental result reflects some real effect or is merely a random fluke, but the standard methods mix mutually inconsistent philosophies and offer no meaningful basis for making such decisions. Even when performed correctly, statistical tests are widely misunderstood and frequently misinterpreted. As a result, countless conclusions in the scientific literature are erroneous, and tests of medical dangers or treatments are often contra"

On the abuse and misuse of statistics by science

Science fails to face the shortcomings of statistics

A useful article outlining the shortcomings of statistics when it comes to ascertaining scientific fact. Half of all medical data could be wrong. "For better or for worse, science has long been married to mathematics. Generally it has been for the better. Especially since the days of Galileo and Newton, math has nurtured science. Rigorous mathematical methods have secured science’s fidelity to fact and conferred a timeless reliability to its findings."

Science fails to face the shortcomings of statistics

Great illustration.