Kolmogorov’s strong law of large numbers

Let $X_1,X_2,\mathrm{\dots }$ be a sequence of independent random variables, with finite expectations. The strong law of large numbers holds if one of the following conditions is satisfied:

1. The random variables are identically distributed;

2. For each $n$, the variance of $X_n$ is finite, and