The counterfactual framework is crucial because it helps to isolate the true effect of an exposure by removing confounding factors. Traditional observational studies often struggle with confounding, where the observed association between an exposure and an outcome is influenced by other variables. By comparing what actually happened to what would have happened in the absence of the exposure, we can get closer to understanding the true causal effect.
