Causal Markov condition

Causal Markov Condition (CMC) is a rule that helps us understand how different events are connected. It says that the probability of an event happening depends only on the events that have happened before it, not any events that happened after it. Imagine a game of dominoes. The first domino in the chain can only cause the second domino to fall over. The second domino falling can only cause the third domino to fall, and so on. This chain of falling dominoes is an example of the Causal Markov Condition. CMC is used in mathematics and statistics when variations of data are studied.