The computational modeling of political processes faces a fundamental epistemological limit rooted in the reflexivity of strategic actors. By adapting to predictive models, these actors systematically erode the invariance of identified regularities — a phenomenon traced through nuclear deterrence strategy and the 2016 U.S. electoral forecasting episode. Recognizing this limitation as structural rather than technical necessitates a shift from predictive invariance toward scenario-based epistemology in political analysis.
Adil Kairolla (Wed,) studied this question.