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Models, Algorithms, and Decision-Making
The chapter explores the diversity of modeling methods, emphasizing that all models have inherent inaccuracies. It delves into algorithm aversion and the irrational preference for intuitive or qualitative methods over quantitative models. The discussion also covers the impact of data breaches on stock prices, cybersecurity risk assessment, and the use of Bayesian methods for more accurate predictions.