Harvard Professor Robert Yeh discusses the challenges and importance of determining the credibility of observational studies in cardiology. They explore the use of causal language in research and the need to differentiate between association and causality. The chapter also discusses the difficulties of analyzing observational data, avoiding biases like immortal time bias, and advancing observational research in medicine by borrowing techniques from adjacent fields.