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This independent technical and philosophical paper develops a conditional decision-theoretic account of the variance preservation premium: the expected net value of retaining differently structured and epistemically non-redundant sources under model uncertainty. It examines value of information, correlated-error reduction, novelty generation, robust decision-making, dynamic option value, irreversible source loss, substitution uncertainty, complementary human–AI cognition, and external-reference options.

The paper includes 37 numbered equations, seven worked numerical examples, sensitivity analysis, adversarial stress tests, 22 machine-readable propositions, and a 28-question validation framework. Its conclusions are conditional rather than universal. Difference alone does not create value, preservation costs may dominate, common-mode errors may erase benefits, and demonstrated substitutes may reduce the premium to zero.

The work is a conceptual and comparative scaffold, not a runtime protocol, governance mechanism, safety certification, or universal preservation mandate. Cryptographic hashes identify exact artifacts but do not prove truth, adherence, safety, authority, or system behavior.

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