"#Correlation does not imply causation, but #causation implies a specific pattern of correlations, and that must count for something."
"Testing a #hypothesis is actually not so much about trying to confirm it, but about trying to falsify it."
http://www.the100.ci/2022/11/18/causal-inference-hypothesis-testing-all-at-once/
"#Causal #analysis goes one step further than standard #statistical analysis; its aim is to infer not only beliefs or probabilities under #static conditions but also the #dynamics 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
https://ftp.cs.ucla.edu/pub/stat_ser/r350.pdf