Decision Making in Life and Sports by Daniel Adler

In this talk, Daniel discusses the different problems that affect good decision making, and how data can overcome those problems using real-life situations in the realm of sports as examples.

Daniel outlines certain cognitive biases that affect good decision making, including loss aversion, where losses are more painful than gains are pleasurable, as well as the peak-end effect, where we judge our memories at their most intense rather than the total sum. Daniel shares that being aware of these biases, coupled with systematic data could lead to better decision making.