Randomized trial examines a new framework for probability in logic, suggesting an alternative to classical measurements.
Background:Classical probability theory presupposes a separation between sample space, measure, and event structure – an external imposition. Human experience, however, has always known the unity of opposites (Yin and Yang, light and shadow).Material and methods: Starting from a structure \(X_t\) that internally splits into expectation \(E(X_t)\) and anti-expectation \(E({X}_t)\), probability is defined as an internal ratio \(p(X_t) = E(X_t)/X_t\) – without external normalization axioms.Results:A unified algebra emerges in which logic, probability, and geometry (Pythagoras) appear as aspects of one and the same dialectical movement. Contradiction \(p(1-p)\) becomes a structural curvature term. The principle of explosion is refuted by counterexample.Conclusion:An alternative approach to probability theory and many-valued logic appears possible – beyond external measure spaces, with immanent negation, and without explosion. Classical theory emerges as a limiting case of a richer dialectical structure.
No takes yet. Share an insight, caveat, or question.
Ilija Barukčić (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: