Evidence-based policymaking (EBPM) uses systematic evidence to inform public decisions, yet the move from evidential support to intervention also depends on whether the response conditions under which the evidence was generated remain sufficiently stable for action. This paper develops a conditional qualification for settings near a plausible critical transition. In such settings, evidence can remain locally informative while intervention, policy announcement, or induced expectation change alters the feedback structure, coupling pattern, attractor accessibility, or recovery regime that made the evidential relation decision-relevant. The paper terms this possibility critical-regime instability of evidence-to-action relations. The qualification concerns action warrant rather than the value of evidence itself: a locally credible estimate can continue to support inference about a current response relation even as forward transportability weakens, reversibility contracts, or the set of supportable interventions narrows. To make this distinction explicit, the paper develops a local action-admissibility framework in which evidential validity, dynamical reversibility, and normative warrant are treated as related but separable conditions. It then examines regime transport, reflexive evidence, and evidence-restraint inversion, where improved knowledge of leverage or susceptibility can support bounded, staged, monitored, or reversible action rather than greater intervention intensity. The constructive implication is an adaptive evidence-informed policy architecture in which evidence updates both expected policy effects and the estimated boundaries of admissible action. Near criticality remains an empirically defeasible, domain-specific hypothesis, and the paper concludes with a research program designed to distinguish critical-regime instability from ordinary nonstationarity, contextual variation, and structural change. The resulting qualification expands the role of evidence from estimating effects alone toward characterizing the response conditions, transition risks, and action boundaries relevant to policy choice.
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Wanhong HUANG (2026) studied this question.
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