propose a new and more nuanced measure of a prediction's reliability. Prediction Revisited also offers: * Clarifications of commonly accepted but less commonly understood notions of statistics * Insight into the efficacy of traditional prediction models in a variety of fields * Colorful biographical sketches of some of the key prediction scientists throughout history * Mutually supporting conceptual and mathematical descriptions of the key insights and methods discussed within With its strikingly fresh perspective grounded in scientific rigor, Prediction Revisited is sure to earn its place as an indispensable resource for data scientists, researchers, investors, and anyone else who aspires to predict the future from the data-driven lessons of the past.