Module F: Dual Prophecy Mapping (Kernel + Delay in Warped Time)

We will test whether classic “near + ultimate” prophecies align with a symmetric ripple pattern centered on 33 CE. Each case has three dates: the prophet’s timestamp (when spoken/written), a near historical echo in the prophet’s era, and a far fulfillment in the 1st century CE. We convert calendar years to a warped-time scale anchored at 33 CE and score each date with fixed Cauchy kernels: a central pulse (primary) and echoes at ±Δ, with Δ = 50 warped-time units and kernel width γ = 60 (primary test; γ = 20 sensitivity). The dual-fulfillment score multiplies three components: overlap of prophet with primary×backward echo, “echo dominance” at the near date, and “primary dominance” at the far date. To assess non-randomness, we preregister a Null A permutation: prophet and far dates remain paired within cases, while near dates are randomly reassigned across cases (N = 5,000), yielding an empirical p-value for the observed mean score. All parameters, inputs, and file hashes are locked to ensure reproducibility; code may be updated later without changing the preregistered analysis plan. This preregistered “dual-prophecy resonance” test is a confirmatory add-on to the Field Topology (two-center, Moses+Jesus) and Dynamics layers. We take the already locked warped-time geometry and ask a sharper question: Do classic “near + ultimate” prophecies align with the model’s symmetric echo structure (Δ=50 around 33 CE) better than chance? A positive result advances the evidence ladder by (i) strengthening Level 2–3 (topology + approach/contact/aftershock dynamics) with an independent phenomenon—dual fulfillment timing—and (ii) contributing toward Level 4 (multi-sensor/construct convergence) by showing that curated historical/scriptural cases obey the same geometric rules observed in event density and other sensors. In short, this module checks whether the “ripples” that fit A1 event clustering also explain how prophetic types (near echoes) and antitypes (ultimate fulfillments) arrange themselves in warped time. If the Null-A permutation shows an observed mean score beats shuffled nears, we get preregistered, surrogate-calibrated evidence that dual fulfillment timing is not a coincidence but consistent with a latent field organizing history around the 33 CE contact. If not, that null result trims the theory—constraining where the field model can and can’t explain chronology—while preserving program integrity under the governance rules (confirmatory vs. exploratory separation, frozen inputs, hash-tracked artifacts).