Premature Explanatory Closure: A Domain-General Diagnostic Framework for Scientific Arguments

This paper introduces a domain-general diagnostic framework for evaluating scientific arguments that claim explanatory closure without fully specified evidential bridges. This paper forms part of the TOOLBOX_MASTER_v1_2 Methodology Series. Scientific reasoning often progresses through stages of observation, compatibility, sensitivity, and explanation. However, arguments in multiple disciplines frequently transition prematurely from compatibility or sensitivity results to explanatory conclusions without establishing the intermediate conditions required to justify that transition. The framework presented here generalises four analytical tools originally developed in the context of cosmological fine-tuning analysis:Permissive–Purposive Distinction — separates conditions that permit an outcome from claims that those conditions exist for that outcome. Anthropic Slide Test v2 — detects argumentative transitions from compatibility claims to explanatory closure without the required bridge conditions. BC1–BC5 Bridge Framework — specifies the structural components required for ensemble-based or selection-based explanations to achieve explanatory closure. Typicality Trap — identifies the structural difficulty faced by explanations that rely on typicality assumptions without independently establishing the probability measure that would justify them. These tools are formalised as components of a reusable diagnostic protocol designed to evaluate explanatory claims across scientific disciplines. The framework does not adjudicate the truth of any specific theory. Instead, it identifies the evidential and logical components that must be secured before an explanation can legitimately claim closure. The paper demonstrates the portability of the framework by outlining its applicability to several domains beyond cosmology, including evolutionary biology optimisation claims, artificial intelligence capability forecasting, and economic equilibrium modelling. In each case the diagnostic tools clarify the difference between supported inference, conditional programme, and premature explanatory closure. The goal of the framework is methodological precision. By explicitly identifying the structural requirements of explanatory arguments, the protocol allows researchers to separate well-supported scientific claims from interpretive extensions that require further evidential grounding. Keywords: premature explanatory closurescientific reasoningscientific methodologyexplanatory frameworksdiagnostic reasoningphilosophy of scienceanthropic reasoningtypicality problemscientific inference