This paper applies the mathematical framework of the General Theory of Stupidity (G) to the study of neurocognitive variance, specifically focusing on Autism Spectrum Condition (ASC). Challenging traditional deficit-based psychiatric models (DSM-5), we propose that the autistic phenotype represents a distinct "High-Precision / Narrow-Bandwidth" cognitive architecture designed for extreme efficiency in low-entropy environments. By mapping the sociological theory of Monotropism and the neurological model of Predictive Coding to the cybernetic variables of the G-Model (Information Load DD, Attention AA, and Social Pressure SS), we demonstrate that the "Autistic Paradox"—the simultaneous presence of savant-level capability and extreme susceptibility to burnout—is a deterministic outcome of a Phase Transition in the attention control system. Key Findings: The Rationality Advantage: Monte Carlo Agent Simulations (N=5000N=5000) demonstrate that Monotropic architectures achieve a 14.6% superiority in rationality in low-noise, system-driven environments compared to neurotypical counterparts. The "Masking" Tax: We formalize social camouflaging as a measurable metabolic resource drain (Emulation Tax), showing that high social pressure (SS) depletes attentional resources reserved for cognitive processing. Stupidity Singularity (Meltdown): Demographic risk projection using the Big Five Personality Test dataset (N=19,718N=19,718) reveals a 90.1% Singularity Rate under high-stress conditions for Monotropic profiles, identifying "hostile environments" as the primary driver of cognitive collapse. Reframing ASC: Reframes high-functioning autism not as a pathology of deficit, but as a specialized engineering trade-off between Robustness and Peak Performance.
Igor Sergeevich Petrenko (2026) studied this question.