Simple Heuristics That Make Us Smart explores the effectiveness of fast and frugal heuristics—simple decision-making strategies—in comparison to complex, resource-intensive models like Bayesian networks and multiple regression. The authors argue that these heuristics, often employing limited search and one-reason decision-making, can achieve surprisingly high accuracy in various real-world scenarios, even outperforming complex models in certain situations. The book uses simulations and real-world data, such as predicting city populations or stock market performance, to illustrate these heuristics' advantages in terms of speed, frugality, and robustness. Furthermore, it examines how people use and identify these heuristics in different contexts, including categorization and social interactions. The authors ultimately advocate for an adaptive view of rationality, emphasizing the importance of considering both the decision-making mechanisms and the structure of the environment.

Hosted on Acast. See acast.com/privacy for more information.