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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.
Expected value is the long-run average outcome of a random variable if you could repeat the experiment many times.