Critical thinking is essential to avoid biases and errors in the interpretation of data. For example, when evaluating the causality of a health event, epidemiologists must distinguish between correlation and causation. This requires rigorous methods such as randomized controlled trials and systematic reviews to ensure conclusions are based on robust evidence.