One of the most contentious areas in epidemiology is causal inference. Establishing causality is challenging due to the potential for bias, confounding, and other sources of error. Approaches like the Bradford Hill criteria, counterfactual reasoning, and the use of natural experiments are employed to infer causality. However, these methods are not foolproof and often lead to disagreements among researchers about whether a causal relationship truly exists.
