Probability
An assortment of introductory ideas in probability

Bayes' theoremA visual way to think about Bayes' theorem, and strategies for making probability more intuitive.

But what is the Central Limit Theorem?A visual introduction to one of probabilty's most important theorems

Bertrand's Paradox [Numberphile]Why probabilities can be ambiguous if you're not careful.

Why π is in the normal distribution (beyond integral tricks)A classic proof explaining the pi in a Gaussian distribution, combined with a derivation of that distribution, the Herschel-Maxwell derivation, that explains why the proof is reasonable.

Convolutions | Why X+Y in probability is a beautiful messHow to add random varaibles, with a focus on two distinct ways to visualize the continuous case

A pretty reason why Gaussian + Gaussian = GaussianA visual trick for computing the sum of two normally-distributed variables, and how it fits into the Central Limit Theorem

The medical test paradox: Can redesigning Bayes rule help?

The quick proof of Bayes' theoremA short explanation of why Bayes' theorem is true, together with discussion on a common misconception in probability

Binomial distributions | Probabilities of probabilities, part 1The binomial distribution, introduced as setup to talk about the beta distribution

Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2Introduction to probability density functions.