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2. Markov's inequality - Wikipedia

   en.wikipedia.org/wiki/Markov's_inequality

   If X is a nonnegative random variable and a > 0, and U is a uniformly distributed random variable on [,] that is independent of X, then [4] ⁡ ⁡ (). Since U is almost surely smaller than one, this bound is strictly stronger than Markov's inequality.