The Epistemological Shift: How Statistical Thermodynamics Replaced Physical Causality with Probabilistic Accommodation

Modern physics operates on a foundational contradiction regarding thermal energy. While all other forms of energy—gravitational, electrical, kinetic, elastic—are understood through vector forces that perform work via specific physical mechanisms (W = F · d), thermal energy alone is relegated to statistical probability and random molecular motion. This paper demonstrates that the transition from Classical Thermodynamics to Statistical Mechanics constituted an epistemological shift: the abandonment of the search for a physical driver (force) in favor of mathematical accommodation. Three independent lines of evidence converge on this conclusion: empirical documentation of a priori immunization strategies deployed by AI systems trained on the mainstream canon, demonstrating that the theory’s defenses are structured before any experimental result; controlled thermal measurements showing sustained inversion of pre-registered classical predictions for temperature distributions; and a formal proof via propositional logic that the statistical formulation is structurally tautological. We introduce the concept of Framework Lock—the structural inability of a paradigm-trained system to recognize falsification—and propose that thermal energy, like all other energies, operates via a vector force mechanism, restoring falsifiability and physical causality to thermodynamics.现代物理学在热能问题上存在一处根本性矛盾：引力能、电能、动能、弹性势能等所有其他形式的能量，均可通过矢量力经由特定物理机制做功的方式得到阐释（功的定义为W = F·d），唯独热能被归结为统计概率与随机分子运动。 本研究表明，从经典热力学（Classical Thermodynamics）向统计力学（Statistical Mechanics）的过渡实为一次认识论转向：学界放弃了对物理动因（力）的探寻，转而诉诸数学适配。共有三条独立证据链支撑这一结论：其一，对基于主流学术范式训练的人工智能（AI）系统所采用的先验免疫策略的实证记录，该策略表明该理论的防御机制早在任何实验结果出现前便已构建完成；其二，受控热测量实验显示，温度分布的预注册经典热力学预测持续出现反转；其三，通过命题逻辑给出形式化证明，表明该统计表述在结构上为重言式。 本文引入框架锁定（Framework Lock）这一概念——即经范式训练的系统无法识别证伪的结构性缺陷——并提出：与所有其他形式的能量一样，热能亦通过矢量力机制运作，从而为热力学重建可证伪性与物理因果性。