 The interpretation of strong mixing is now straightforward. It says that for any two sets \(A\) and \(B\), having been in \(B\) \(k\) time steps back becomes irrelevant to the probability of being in \(A\) some time in the future if time tends towards infinity (i.e. when n tends to infinity). In other words, past events \(B\) become increasingly irrelevant for the probability of \(A\) as the temporal distance between \(A\) and \(B\) becomes larger. This condition is weaker than K-mixing because it only states that the future is independent of isolated events in the remote past, while K-mixing implies independence of the entire remote past history.