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  "body": "\n## Definition\n\nLet $X, X_1, X_2, \\dots$ be real random variables on one probability space $(\\Omega, \\mathcal{F}, P)$.\nThe sequence $(X_n)$ converges almost surely to $X$ if\n$$P\\left(\\left\\{\\omega \\in \\Omega : \\lim_{n \\to \\infty} X_n(\\omega) = X(\\omega)\\right\\}\\right) = 1.$$\nOne writes $X_n \\to X$ a.s. or $X_n \\xrightarrow{\\text{a.s.}} X$.\n\n## Remarks\n\nThe set in the definition is an event, because the $X_n$ and $X$ are measurable.\nAn equivalent condition: for each $\\varepsilon \u003e 0$, $P(|X_n - X| \u003e \\varepsilon \\text{ for infinitely many } n) = 0$.\nThe limit is unique up to equality [[almost surely|0R46A1XY60]].\nThe strong law of large numbers is a result about almost sure convergence.\n\n## Explanations\n\n### L1 human\n\nAlmost sure convergence means that, apart from a set of outcomes of probability $0$, each run of the experiment gives a convergent sequence of numbers.\n",
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