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## Murphy's Law

Let $A_1, A_2, \ldots ,A_n$ be independent events, and let $T$ be the number of these events that occur.

Show that the probability that none of the events occur is at most $e^{-E[T]}$, where $E[T]$ is the expectation of $T$.

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