Discover the mathematics of randomness through 21 interactive demonstrations. Watch random walks converge to Brownian motion, see the Central Limit Theorem in action, and explore Markov chains as flowing particle systems.
See also: Measure Theory for the formal foundations of probability spaces, Combinatorics for counting outcomes in finite probability, and Information Theory for entropy as a measure of uncertainty.
Animated 1D and 2D random walks converging to Brownian motion
Watch any distribution converge to a bell curve as you add samples
Interactive PDF, CDF, and parameter exploration for common distributions
Estimate pi, integrate curves, and simulate Buffon's needle
Coin flips, sample means, and the gambler's ruin
State transitions, stationary distributions, and random walks on graphs
Prior-to-posterior updating, medical tests, and Bayesian reasoning