Causality and Randomization

Randomized control trials are essential for confidently inferring causality, as they balance both measured and unmeasured variables. However, when true randomization isn't possible, clever designs can still allow for fair comparisons. The discussion highlights the importance of study design in causal inference, suggesting that proper design can mitigate analysis challenges later on.