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The Mathematical Architecture of Cognitive Performance

This source explores the concept of cognitive engineering, suggesting that human performance should be managed with mathematical precision rather than subjective feelings. It identifies the human brain as a critical bottleneck in high-stakes environments and introduces the capacity coefficient as a metric to quantify mental throughput. The text highlights rigid biological constraints, such as a working memory limit of roughly four items and the mathematical certainty of fatigue, which forces the brain into error-prone, energy-saving strategies. To mitigate these risks, the author proposes data-driven system designs, including slot-based dashboards and predictive rest cycles, to align technology with natural mental architecture. Ultimately, the material argues that human error is a solvable engineering problem that can be addressed by designing systems that respect cognitive limits.