The Functional Process-Outcome Contradiction Principle (FPOCP): A Proposed Domain-General Framework for Identifying, Formalizing, Measuring, and Resolving Contradictions Between Functional Processes and Their Intended Outcomes

A system may pursue a desirable outcome through a process that contains an action inconsistent with an essential property, constraint, or normative commitment associated with that outcome. In such cases, successful outcome attainment and process consistency are distinct questions. A process may produce the intended result while violating a requirement that the result was supposed to embody, protect, or preserve.This manuscript proposes the Functional Process-Outcome Contradiction Principle (FPOCP), a conceptual and mathematical framework for analyzing this class of problems. The framework is motivated by a primary illustrative case: a hypothetical animal-protection awareness film whose production process harms an animal in order to communicate that animals should not be harmed. The case is used to examine a structural contradiction between a protective message and a harmful means of producing that message. It does not assume that actual animal harm is necessary for dramatic representation.The framework distinguishes positive outcome objectives from process constraints, formalizes a functional process as a context-dependent outcome-generating mechanism, and introduces separate measures for goal attainment and constraint violation. It also distinguishes strict logical contradiction from normative conflict, functional interference, self-defeating behavior, temporal conflict, proxy-induced distortion, and emergent system-level contradiction.The manuscript develops a seven-stage default mechanism, an eight-part diagnostic taxonomy, a parameterized mathematical model, six formal propositions, an alternative-process resolution framework, an eighteen-layer research architecture, and a fourteen-step research-completion protocol. It further specifies hypotheses, measurement requirements, boundary conditions, counterexamples, competing explanations, and methods for empirical validation.The framework is presented as a proposed theoretical construction rather than an empirically validated universal law. Its scientific contribution remains conditional on systematic comparison with existing literature, defensible operational definitions, mathematical verification, and empirical tests across relevant domains.Keywords: Functional Process-Outcome Contradiction Principle; process-outcome contradiction; functional process; goal coherence; systems theory; formal modeling; constraint violation; alternative-process optimization; causal inference; falsifiability