A random collection of posts

Todays Links: Bayes' Theorem


Oscar Bonilla does an excellent job of explaining Bayes’ theorem (most widely known for its usage in spam filtering) and why it is important to understand it, if you work with propabilities — say, as a doctor that needs to interpret data from a research study.

Timm Grams goes further down that road and has collected a good number of paradoxes and logical traps.