Life as a Filtered Outcome: Filtered Configuration Framework

This work introduces the Filtered Configuration Framework (FCF), a general framework for analyzing how observable structures emerge from broader spaces of possible configurations through successive physical and epistemic filtering processes. Although developed primarily in the context of abiogenesis, the framework is formulated in a domain-independent manner and applies to biological, chemical, physical, ecological, and informational systems. Conventional discussions of the origin of life are typically framed as a problem of probabilistic generation under early Earth conditions. Such approaches implicitly assume that the observable biochemical landscape is representative of the underlying space of generative possibilities. FCF challenges this assumption. Within the framework, observable structures are interpreted not as direct reflections of generative processes, but as filtered outcomes resulting from multiple layers of constraint. Four distinct but coupled processes are identified: — generation (what can be formed),— transformation (how configurations evolve within an environment),— survival (what can persist),— observability (what can be detected or registered). The framework is grounded in two foundational principles: — Environmental Filtering: observable configurations are those compatible with specific environmental conditions. — Generation–Survival Decoupling: the conditions required for formation may differ substantially from those required for persistence. Configurations are therefore treated not as isolated objects, but as elements of environment-dependent transformation processes. This shifts the focus from object-centered explanations toward transformation-centered analysis. From this formulation, several consequences follow: — observability does not imply local generability, — absence in empirical data does not imply impossibility, — observed distributions are not representative of underlying generative spaces, — and empirical reality reflects only a filtered subset of a broader configuration domain. The framework further distinguishes between realized and unrealized but compatible configurations. This distinction is analogous to the ecological concept of dark diversity, where species absent from a local community may nevertheless belong to the set of environmentally admissible possibilities. More generally, FCF argues that absence should be treated as structured rather than empty. A central implication of the framework is that constructive synthesis under laboratory conditions is not, in general, invariant with respect to natural environment-dependent transformation processes. Consequently, successful laboratory production of a configuration does not establish its generative relevance within natural environments. The framework is extended through Coherent Observational Epistemology (COE), which treats observation as an interface-constrained process. Observability is therefore subject not only to physical constraints, but also to epistemic constraints imposed by measurement, reconstruction, and interface compatibility. An additional extension considers the possibility that configurations themselves may modify the environments that filter them. In this formulation, filtering conditions are not fixed but may evolve through feedback between configurations and environments. Observable structures are therefore shaped not only by filtering processes, but also by the historical transformation of the filters themselves. Within this perspective, scenarios such as external generation and transfer (including panspermia) emerge as structurally consistent consequences of the framework rather than as exceptional hypotheses. More generally, FCF provides a unified language for describing how configurations are generated, transformed, filtered, reconstructed, and rendered observable across physical and epistemic domains. The framework ultimately reframes abiogenesis from a problem of local emergence of specific molecular structures to a broader problem of transformation, filtering, accessibility, and co-evolution across environments. More generally, it suggests that observable reality is not the space of the possible, but the space that remains accessible after successive physical and epistemic filtering processes.