The article "Homo Heuristicus: Why Biased Minds Make Better Inferences" by Gerd Gigerenzer and Henry Brighton explores the cognitive processes known as heuristics, which are efficient but often biased mental shortcuts. Contrary to the common belief that less processing reduces accuracy, the authors argue that less information, computation, and time can improve accuracy. They review key advancements in the study of heuristics, including the discovery of "less-is-more" effects, the ecological rationality of heuristics, the development of computational models, and the systematic theory of heuristics. The authors challenge the traditional view of heuristics as second-best approximations and argue that they can be more accurate than complex procedures by exploiting evolved mental abilities and environmental structures. They also discuss the bias-variance dilemma, where heuristics can avoid overfitting and control variance to achieve better predictions. The article concludes that biased minds, through heuristics, can handle uncertainty more efficiently and robustly than unbiased minds relying on resource-intensive strategies.The article "Homo Heuristicus: Why Biased Minds Make Better Inferences" by Gerd Gigerenzer and Henry Brighton explores the cognitive processes known as heuristics, which are efficient but often biased mental shortcuts. Contrary to the common belief that less processing reduces accuracy, the authors argue that less information, computation, and time can improve accuracy. They review key advancements in the study of heuristics, including the discovery of "less-is-more" effects, the ecological rationality of heuristics, the development of computational models, and the systematic theory of heuristics. The authors challenge the traditional view of heuristics as second-best approximations and argue that they can be more accurate than complex procedures by exploiting evolved mental abilities and environmental structures. They also discuss the bias-variance dilemma, where heuristics can avoid overfitting and control variance to achieve better predictions. The article concludes that biased minds, through heuristics, can handle uncertainty more efficiently and robustly than unbiased minds relying on resource-intensive strategies.