A Manifesto for Boundary Science

This manifesto introduces Boundary Science as a principled methodology for systems operating beyond reconstructible inference. Drawing from semantic theory, accounting, law, identity dynamics, and machine learning, it formalizes the conditions under which optimization, attribution, and performance metrics become epistemically void due to irreversibility, aggregation, or non-identifiability in principle. The work presents a set of axioms and formal definitions centered on admissibility, observational equivalence, and lawful refusal, arguing that in certain system regimes, the only valid operation is to refuse to answer. It asserts that auditability, not performance, must dominate as the criterion for systemic validity, and that minimal, deterministic architectures are not aesthetic choices but jurisdictional necessities. By mapping structural limits rather than promising control beyond them, Boundary Science offers a supplemental epistemology—one that enforces where others extrapolate, and refuses where others assert. This is not a critique of existing disciplines, but a declaration of a lawful boundary beyond which claims must not proceed.