Predicting Under Uncertainty

Gerd explains how in situations of uncertainty, it is better to simplify predictive models rather than relying on complicated methods. He discusses the use of fast and frugal trees in medical decision-making and highlights the importance of understanding the limitations of data fitting and correlation versus causation.