Quantifies emotional intensity in populations, suggesting improved decision-making.
Anger and fear are fundamental emotional processors that influence human behavior, decision-making, and position on the State of Being. This paper presents a structured approach to quantifying the intensity of anger and fear using ordered-pair vector logic and cube-root scaling. The framework includes core magnitude calculations, the role of imminence, a wisdom-based threshold and mitigation modifier, and a discussion of hate as an evolved shortcut mechanism. The model is designed to be interpretable by both humans and artificial systems for improved emotional awareness and real-time decision support.
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Ryan John (2026) studied this question.
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