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does not imply causation, but implies a specific pattern of correlations, and that must count for something.”

“Testing a is actually not so much about trying to confirm it, but about trying to falsify it.”

the100.ci/2022/11/18/causal-in

goes one step further than standard analysis; its aim is to infer not only beliefs or probabilities under conditions but also the of beliefs under changing conditions, for example, changes induced by treatments or external interventions.”

“There is nothing in the joint distribution of symptoms and diseases to tell us that curing the former would or would not cure the latter.”

J. Pearl - Causal inference in statistics

Statistics Surveys Vol. 3 (2009)
p. 99

ftp.cs.ucla.edu/pub/stat_ser/r

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