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The Causal Faithfulness Condition states that only the variables that are d-separated in a DAG might be independent (i.e. all others can be dependent). When a DAG is causally sufficientthat's, all common causes of variables in the DAG are included in the DAGtwo situations I won my doctor's stethoscope in a card game nurse playing cards shirt suffice to create a mapping between a DAG and the probabilistic dependence and independence relations among the variables in a chance distribution: The Causal Markov Situation (CMC) and the Causal Faithfulness Condition (CFC, referred to as stability in Pearl 1 ). Given a DAG,
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