rimeWave Theory proposes that true stability cannot be inferred from output alone. Traditional systems measure performance; PrimeWave Theory demonstrates that the most dangerous systems are not obvious failures — they are systems exhibiting High Output + High Drift + Weak Control, creating the phenomenon of False Stability.
The PrimeWave Stability Score is formalised as St = 0.22M + 0.20Et + 0.18Yt + 0.18C + 0.22(1−Vt), where M denotes structural integrity, Et energy throughput, Yt outcome yield, Vt independently measured operational drift, and C control capacity. The fundamental relation dSt/dVt < 0 was empirically confirmed: Pearson r = −0.71, p < 0.001.
Monte Carlo validation (n = 10,000, σ = 0.20) demonstrated 100% detection by the drift-aware model versus 62.3% for outcome-only monitoring (+37.7 percentage points). Raw NASA CMAPSS FD001–FD004 validation across 709 engine trajectories revealed positive Lyapunov exponents (λmax) across all three drift-related sequences. The Vt and PWt sequences exceeded the λmax > 0.05 threshold in all 709 engines (100%). The hypothesis is empirically supported.
Weight calibration on the full 709-engine dataset yielded the NASA-calibrated form: St = 0.37M + 0.38Yt + 0.25(1−Vt). The drift-resistance term retained substantial weight (0.25), confirming that output alone is insufficient for stability assessment.
PEIP (PrimeWave Early-Warning Intelligence Platform) has been internally validated across nine industry calibration profiles, achieving 26/26 engine tests passed, 16/16 smoke tests, 50-user concurrency validated, and mean response time of 3–6 ms. Cross-domain implementation is internally complete; external independent replication remains the final open milestone.
No evidence has been found that falsifies PrimeWave Theory. The evidence presently supports the False Stability Principle and the drift-chaos hypothesis. Do not claim universal law: use empirically supported, internally validated, external replication pending.
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- Emmanuel Badio (Autor), 2026, PrimeWaveTheory. Stability, Drift, Chaos and the False Stability Principle, Múnich, GRIN Verlag, https://www.grin.com/document/1736962
