In this age of blind belief in big data and complex models, Silver takes a needed critical view of predictions that rely only on statistics. Drawing on his past experience with baseball models, Silver explains how computers alone often cannot capture all of the intricacies in many human pursuits. He found that his own numbers-only based models under-performed those built using both human intuition and data. Likewise, after computers beat the best chess players for the first time, it was predicted that humans had lost all relevance in the game. However, subsequent open world championships that allowed any combination of people and computers to compete were won by teams that used both a program and humans with knowledge of the game. In most fields, it is a good bet that domain knowledge plus computer models will surpass predictions relying on either alone.