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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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