When learning about Data Science, we learn that correlation does not imply causation very early. Think about it: can we tell that coffee improves productivity if we observe that the “coffee drinkers” ...
This example illustrates a key challenge in causal inference: the presence of confoundingvariables. Observational data often reveal associations, but without experimental control, those associations ...
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