Paper VI of the Complexity Binding Theory (CBT) program — the Minimum Information Cost Principle, or MICP — predicts that the decoherence time of a quantum superposition with outcome distribution p scales linearly with its Shannon entropy: τₘeas (p) = H (p) / (γ₀ ln 2). Independently, and for seventy years, experimental psychology has documented the Hick–Hyman law for human choice reaction time: RT (p) = a + b·H (p). This note observes that these two laws share a common derivation from Shannon's source coding theorem: any system that acquires information at a bounded rate R and resolves outcomes drawn from distribution p has resolution time of at least H (p) /R. The functional form τ ∝ H (p) is therefore universal; only the rate R differs between domains, by approximately eight orders of magnitude. The identification does not imply that quantum measurement and neural categorization share a mechanism. It does, however, yield a first-principles upper bound on the information acquisition rate of any physical system at temperature T: Rₘax (T) = kT / (ℏ ln 2). The human conscious mind operates approximately thirteen orders of magnitude below this bound, a statement about the inefficiency of biological computation rather than about consciousness. If MICP's T₂ (p) ∝ H (p) prediction is confirmed experimentally on a qubit platform operating near the Landauer floor, the confirmation would place quantum measurement and human choice reaction on the same formal curve with vastly different slopes.
David Dudaš (2026) studied this question.