Abstract: Since its inception in 1966, the Turing Award has stood as the foremost benchmark for original innovation in computer science. Through a quantitative analysis of multidimensional data—including nationality, educational background, institutional affiliation, academic genealogy, and academic taste and academic style—for the 81 laureates from 1966 to 2025, this article reveals striking patterns of concentration and intergenerational transmission among the world’s top computing talent. The study identifies three fundamental laws underlying Turing Award–level achievements. First, extreme spatial and institutional concentration: U.S. citizens or scholars based in the United States account for approximately 65% of the laureates, and elite universities such as Stanford, MIT, and UC Berkeley have formed an innovative “demand-resource-talent” ecosystem. Second, epistemological lag and the value of academic lineages: there is typically a lag of 20 to 30 years from the emergence of original results to their widespread recognition, and academic lineages—through the transfer of tacit knowledge—enable the systematic inheritance of research taste and scientific intuition. Third, the foundational role of mathematical epistemology: about 70% of the laureates hold background in mathematics and physics, and their research tastes exhibit a pluralistic balance among mathematical formalism (emphasizing abstraction), system constructivism (emphasizing implementation), interdisciplinary pioneering (emphasizing cross-boundary integration), non-consensus innovation (emphasizing disruptive breakthroughs), and school founding (emphasizing legacy and mentorship). Based on an analysis of the historical achievements of the Institute of Computing Technology (ICT) of the Chinese Academy of Sciences, the Chinese academic community has demonstrated profound mathematical depth and “system genes” in fields such as the finite element method and supercomputing. At present, China is accelerating efforts to overcome challenges in defining global rules and in chip design and manufacturing, and is expected to achieve a historic leap from “following” to “leading” in the near future. In response to the current state of research culture and evaluation systems, this article proposes to align national strategic needs with long-term scientific inquiries, establish an “organized free exploration” mechanism alongside high-quality domestic academic lineages, deepen discipline integration driven by mathematical thinking, provide institutional shelter for “non-consensus innovation”, and ultimately facilitate a paradigm shift for China from an executor of global computing rules to a definer of future computing civilization.