From Theory to Practice
The Ashebo Method generates testable predictions. The EarthPulse monitoring system applies the framework's field dynamics to seismic and volcanic activity. Note: EarthPulse predictions are currently undergoing independent validation and should be treated as experimental.
EarthPulse Monitor
A real-time disaster prediction and monitoring system built on The Ashebo Gravity Model. EarthPulse tracks 14 tectonic regions worldwide using satellite data to predict seismic and volcanic events **1-12 months before they occur**.
14 Regions
Monitored 24/7
How EarthPulse Applies The Ashebo Method
1. Detect Asymmetry
GRACE-FO satellites measure gravity anomalies caused by subsurface mass redistribution (magma movement, tectonic stress).
2. Track Restoration
Multi-satellite integration (SWARM magnetic, Sentinel-1 deformation, MODIS thermal) tracks restoration field dynamics.
3. Predict Events
When 2+ signals exceed thresholds, restoration dynamics indicate imminent catastrophic release within 1-12 months.
The Science Behind the Predictions
Restoration Field Dynamics
According to The Ashebo Method, gravity emerges from restoration field dynamics that work to minimize asymmetries in spacetime. When mass redistributes (such as magma movement), it creates local asymmetries. The restoration field responds by generating compensating dynamics detectable as gravity anomalies, magnetic variations, and ground deformation.
Key Interpretation:
- ▲Increasing gravity: Restoration field asymmetry intensifying → insufficient thermal energy release → potential for catastrophic event
- ▼Decreasing gravity: Intense restoration through thermal energy release → may indicate imminent disaster
Multi-Domain Integration
By treating gravity, magnetism, thermal, and mechanical phenomena as manifestations of restoration field dynamics, EarthPulse provides more reliable predictions than single-domain monitoring.
Testable Predictions
The model generates specific, quantitative predictions that can be validated against actual seismic and volcanic events, enabling continuous refinement of the framework.