Influence between variables is usually a measure of probability within sequences of information events, or system states. Correlation would be a measure of relatedness between individuated states of the system. Causation is inherently time/delta based, whereas correlation is asynchronous
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Reply to comment by jegerarthur in [D] 5 Growing Libraries in Python for Causality Analysis by pasticciociccio
Influence between variables is usually a measure of probability within sequences of information events, or system states. Correlation would be a measure of relatedness between individuated states of the system. Causation is inherently time/delta based, whereas correlation is asynchronous