Mathematics is an artificial symbolic logical system whose evaluation standard lies only in internal self consistency. Its core function is to fit observed phenomena. When deduction hits obstacles, mathematics can expand definitions extend number fields or change calculation frameworks to bypass difficulties. As long as logic forms a closed loop this operation is valid within the scope of mathematics. Imaginary number systems and calculus are typical examples. They are internally self consistent and efficient for calculation as computing tools but the tools themselves do not equal objective reality. Mathematical systems face no punishment from objective reality. When contradictions appear in deduction researchers only need to adjust rules and refit data. Physics takes objective reality and causal chains independent of human cognition as its foundation. The only judging standard comes from the real natural world. Physics cannot bypass fundamental contradictions by makeshift assumptions. This paper clarifies a critical dividing line. Success in engineering application never proves the correctness of the underlying physical theory supporting that engineering. Many technical achievements come from empirical exploration and repeated trial and error. Researchers build devices and obtain effects first. Theories are proposed later to fit collected data. Those theories do not reveal the real causal mechanism in advance. Newtonian mechanics is an approximate description valid under limited conditions. It has clear application boundaries and its underlying causal framework does not deliberately avoid core contradictions. Interpretations such as superposition and Schrodinger cat that describes simultaneous life and death are different. They deliberately bypass microscopic dynamic mechanisms and modify the inherent properties of matter to adapt to mathematical frameworks. These two cases have essential differences. Even if a deviated underlying physical mechanism can produce usable calculation schemes or even drive engineering progress it does not prove the foundation is correct. If basic assumptions depart from reality all derived conclusions must be revised from the root instead of adding surface patches. Part of the difficulties in modern fundamental physics arise from three types of confusion. Confusion between mathematical fitting and physical reality. Confusion between empirical engineering success and the truth of underlying physical mechanism. Confusion between well bounded approximate theories and patchwork assumptions made to avoid contradictions. If researchers keep stacking derived models on a shifted physical foundation the system will accumulate internal inconsistencies. Even with delicate local mathematical fitting the whole theory will eventually collapse logically just like a tall dangerous building built on skewed ground. This paper analyzes the differences between mathematics and physics the long term theoretical risks of bypassing contradictions and the boundary between engineering success and physical theoretical success. It proposes that fundamental physics must stick to objective reality and closed causality.
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Jiaqing Yan (2026) studied this question.
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