확률 · 確率 · Probabilité
From ancient dice carved from bone to the algorithms that shape your feed — probability is the glamorous mathematics of uncertainty, draped in chrome and crystal.
In 1654, Blaise Pascal and Pierre de Fermat exchanged letters that would birth probability theory — all because a gambler named Antoine Gombaud wanted to know when to bet on dice. Mathematics, born from the casino floor, dressed in lace and candlelight.
“The theory of probability is at bottom nothing but common sense reduced to calculus.”— Pierre-Simon Laplace
The Gaussian distribution — mathematics' most glamorous curve. She appears everywhere: in heights, in stock returns, in measurement errors. 68% of all data falls within one standard deviation. She is the probability world's supermodel.
Reverend Thomas Bayes gave us the ultimate flex: a mathematical framework for changing your mind. Prior knowledge meets new evidence, and out comes a posterior probability — more refined, more dangerous, more beautiful.
Today, probability drives everything — from your Netflix recommendations to self-driving cars. Machine learning is probability theory wearing designer sneakers and a hoodie. Every neural network is a probability machine, computing likelihoods at the speed of silicon.