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High-stakes timing decisions, such as when to launch, sign, commit, or wait, are routinely informed by traditional timing systems (astral and calendrical computational traditions), usually privately, unsystematically, and without any mechanism for being found wrong. This paper introduces the Cross-Civilization Intelligence and Action Framework (CCIAF), a decision-support methodology that formalizes five historically independent interpretive traditions (Vedic, Hellenistic/Traditional Western, Islamic-era, Chinese/BaZi, and a Jungian-psychometric interpretive layer) into commensurable computational data models on a shared bounded ordinal scale; detects cross-tradition concordance, the sign-agreement among independently anchored timing systems, as a regime-detection operation deliberately distinct from the weighted aggregation of multi-criteria decision analysis, since systems anchored in different reference frames share no referent to average; resolves residual disagreement through a governed, explicitly proprietary conflict-resolution layer (the Conflict Resolution Codex, CRC); and binds every advisory output to a falsifiable audit trail using proper scoring rules, with the scoring protocol additionally deposited as a standalone timestamped pre-registration. The contribution is methodological, not empirical: no claim of predictive validity is advanced for any constituent tradition, and the existing experimental evidence against natal astrological prediction is cited rather than contested. The claim defended here is narrower and, to the author’s knowledge, novel: interpretive timing traditions can be rendered mutually commensurable, their agreements and disagreements measurable, and their advisory outputs scoreable, so that whatever signal they do or do not carry becomes an empirical question with a pre-specified measurement protocol rather than a matter of belief. The framework’s architecture, design principles, ethical constraints, and calibration protocol are presented following design-science research conventions; proprietary components are identified as such with the rationale for non-disclosure. A research agenda, including a committed future calibration report, is specified. Keywords: decision support; timing intelligence; structured analytic techniques; forecast calibration; Brier score; design science research; multi-criteria decision analysis; concordance; regime detection; pre-registration; divination; commensuration; electional decision-making; Vedic astrology; Hellenistic astrology; BaZi; firdaria; Cross-Civilization Intelligence and Action Framework; CCIAF
Minhaaj Rehman (Sun,) studied this question.