A new book Causal Analytics for Applied Risk Analysis from Cox Associates explains how causal analytics can revolutionize data science and decision-making by using experience and data to quantify how different choices affect probabilities of various outcomes. This provides the crucial link between actions and their consequences that is so often missing in predictive analytics and that decision analysis usually assumes without firm support in data. The book covers algorithms, principles, and practical applications of causal analytics.