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May 21, 20260 citationsOpen Access

The Causal Measure

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KRKevin B. Rich

Key Points

  • The aim is to establish a formal system for understanding causality and its implications within graphs.
  • Developed through three parts: Grammar, Logic, and Rhetoric exploring definitions and theorems.
  • Proposed a normalized distribution over finite directed acyclic graphs and an exogenous source concept.
  • Addressed six challenges related to potential objections and inconsistencies in causal reasoning.
  • Established the Originary Source Theorem stating that every finite causal system needs an exogenous source.
  • Derived a normalization identity and an impossibility theorem through independent methods, verifying their conclusions.
  • Identified six attack surfaces, including infinite regress and quantum objections, that challenge the theory.

Abstract

The Causal Measure is a formal system built on a single premise — causes precede effects — from which it derives a normalized distribution over finite directed acyclic graphs, a conservation identity, and the Originary Source Theorem. The theorem establishes that any finite, well-founded causal system with positive internal activity requires an exogenous source that is not itself a node in any causal graph at any level. This source — the Sovereign Source — cannot be characterized by the instruments it grounds, cannot be reached by any backward walk within the system, and is required with the same formal necessity that energy cannot appear from nothing. The paper proceeds in three parts: Grammar (the single premise and three definitions), Logic (the walk back through lemmas to the theorem and corollary), and Rhetoric (the plain statement of where the walk arrives). Two independent derivations — the normalization identity and the impossibility theorem — arrive at the same boundary by independent routes. The paper also addresses six known attack surfaces including infinite regress, quantum mechanical objections, and multiple sovereign sources.

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Cite This Study

Kevin B. Rich (2026) studied this question.

synapsesocial.com/papers/6a0ea127be05d6e3efb5f9c4https://doi.org/10.5281/zenodo.20297909
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Consilience in Causation: Causal Emergence Is Found Across Measures of Causation2025 · 6 citations
  2. 2Description Without Causation: A Cognitive Approach to Structural Universality2026
  3. 3Causation Without a Global Manipulator: Record-Mediated Difference-Making, Internal Intervention, and Counterfactual Dependence in a Consistency-Constrained Information History2026
  4. 4The Walk Back to Eternity: The Causal Measure as an Overlay on Augustine's Confessions XI2026
  5. 5The Ontology of Causality: The Meta-Logic of Classification and the Temporal Lever of Cognition2026