Groups
The Weak Law of Large Numbers (WLLN) says that the sample average of independent, identically distributed (i.i.d.) random variables with finite mean gets close to the true mean with high probability as the sample size grows.
Concentration inequalities give high-probability bounds that random outcomes stay close to their expectations, even without knowing the full distribution.