Lately, I have been reading a lot about Probability, Statistics and Machine Learning. These subjects always involve a kind of awe that one can only experience on understanding the concepts. I’ve developed tremendous respect for the people who understand probability, (Bayesian) statistics, learning theory and other related subjects.
I write this post to pose some probability (pseudo) paradoxes and problems to you. Even though these paradoxes are extremely simple to understand and comprehend, but their solution is completely counter-intuitive. I’ll admit that for some of the paradoxes/problems, even after seeing the solution I wasn’t able to figure out what exactly is going on. So, without further blabber here we go with the paradoxes: ...
