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This lecture covers the concept of time reversal in stationary Markov chains, where the future and the past are independent given the present. It explains the transition matrix of the time reversal and the conditions for reversibility. The lecture also delves into detailed balance conditions and the existence of an invariant distribution. The Ehrenfest urns model is used to illustrate these concepts.