THE FIELD RESONANCE MODEL (FRM)-FROM RNG COHERENCE TO ADAPTIVE FIELD ECOLOGY
Sangeeta Nehra, Anil Kumar Sinha, Ritu Ritu
International Journal of Drug Delivery Technology November 3, 2026 DOI: 10.25258/ijddt.16.86s.129 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes the Field Resonance Model (FRM), an exploratory threshold-based framework that interprets RNG coherence data through zones (Elevated, High, Very High, Extreme) mapped to HRV-like 'Manas', 'Prana', and 'Buddhi' layers and composite indices (Coupling, Criticality, IFI, FPI, FEI). The authors present it as a structured ecological signal interpretation framework for consciousness-field research, not as a validated causal model. |
Abstract
Random Number Generator (RNG) coherence data has been widely used in collective consciousness and global coherence research. Such data can reveal departures from statistical randomness or increased coherence across RNG networks, but the inner dynamics of the observed field remain difficult to interpret from raw coherence values alone. This paper proposes the Field Resonance Model (FRM) as a threshold-based ecological interpretation framework that extends the concept of field coherence toward a more dynamic concept of field resonance. The FRM was developed through long-duration analysis of RNG coherence data from Device RNG, installed in the large Meditation Pyramid at Pyramid Valley International (PVI), Bengaluru, beginning April 2024. The PVI dataset was selected as the foundational developmental sample because it provided long-term continuity, repeated meditation events, a stable sacred-geometry environment, and rich lunar-cycle variability. The model evolved through several methodological refinements: moving from civil-day analysis to sunrise-to-sunrise segmentation, then to lunar-month and paksha-based stratification, and finally to nakshatra anchoring. RNG coherence values were interpreted through threshold zones: Elevated, High, Very High, and Extreme. These zones were then transformed into HRV-like field rhythm layers named Manas, Prana, and Buddhi, with Extreme events interpreted as transition-critical or quantum-leap-like field events. The analogy of Ayurvedic Nadi Pariksha was used as an interpretive framework for classifying layered field rhythms, not as a literal equivalence. The resulting FRM generates composite field parameters such as Coupling, Criticality, Integrated Field Index (IFI), Field Potential Index (FPI), and Field Evolution Index (FEI). The paper presents FRM as an exploratory but structured ecological signal interpretation framework for studying subtle energy fields, high-energy pyramids, sacred geometries, heart coherence work, and consciousness-field research.