In this conversation, Gareth Tingling explores how data-driven thinking shapes investment strategy, emphasizing the need to challenge assumptions, recognize cognitive biases, and remain open to multiple narratives explaining the same facts. He highlights fear of missing out and overreliance on past patterns as common traps, stressing the value of large sample sizes, descriptive statistics, and mean reversion in making more reliable predictions. By viewing markets the way clinicians interpret evidence—balancing uncertainty, context, and quality of inputs—he shows how disciplined analytics can guide decisions amid volatility.