4 posts
Random sampling is the reason political polls, market research, and public health surveillance work at all. The math behind it is surprisingly simple — and the failures are surprisingly instructive.
Monte Carlo methods use massive amounts of randomness to answer questions that would be impossible to solve with pure math. The idea is simpler than it sounds — and it's everywhere.
Not every random selection should give every option the same chance. Weighted randomness is how lotteries, game loot drops, and draft picks balance probability with purpose.
Probability governs everything from weather forecasts to medical diagnoses, but most people never learned it properly. Here's the intuition behind the math, explained without equations.