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An examination of how, once a paradigm wins, it establishes total intellectual dominance, becoming the invisible, unquestioned foundation for all "serious" work in a field. This hegemony is maintained through textbooks, grant funding, journal editorial boards, and university hiring, which all reinforce the paradigm's basic assumptions. To challenge the hegemony is to risk being labeled a crank, even if your critique is valid.
Theory of the Hegemony of Scientific Paradigms Example: The near-total Hegemony of the Big Bang theory in cosmology for decades meant that alternative theories like the Steady State model were excluded from major conferences and funding. Proposing alternatives was career suicide, a perfect example of how a reigning paradigm polices its borders and maintains intellectual monopoly power.
by Abzugal Nammugal Enkigal February 4, 2026
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The study of the lifecycle of a paradigm: its birth in a revolutionary insight, its consolidation during a period of "normal science," its gradual erosion as anomalies accumulate, and its eventual collapse and replacement. This theory looks at the internal and external forces—technological, social, economic—that drive these dynamics, treating science as a historical and sociological process, not just a logical one.
Theory of the Dynamics of Scientific Paradigms Example: The Dynamics of the Newtonian Paradigm followed this path: revolutionary triumph in the 17th century, two centuries of triumphant "normal science" applying its laws, the creeping anomalies of Mercury's orbit and blackbody radiation in the 19th century, and final overthrow by the twin revolutions of relativity and quantum mechanics in the early 20th century.
by Abzugal Nammugal Enkigal February 4, 2026
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A meta-framework examining how conceptions of the scientific method stretch across history, culture, and discipline. The Elasticity of the Scientific Method studies how method has been defined—from Baconian induction to Popperian falsification to Kuhnian paradigms to Feyerabend's "anything goes"—and how these definitions stretch under pressure from new sciences, new technologies, new questions. It asks: what are the limits of method's stretch? When does stretching become loss of rigor? How does method recover from its own failures? It's methodology reflecting on its own history and possibilities.
"The scientific method used to mean controlled experiments; now it means modeling, simulation, big data mining. Theory of the Elasticity of the Scientific Method says that's a stretch—maybe too far for some, necessary for others. The question is whether method can stretch to include new ways of knowing without losing what makes it science."
by Nammugal March 4, 2026
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