Peer Review & Collaboration

Purpose

Mysteryology Lab is committed to advancing scientific understanding of natural hazard prediction through transparent, collaborative research.
We are actively inviting qualified researchers, analysts, and domain experts to participate in the peer review of our flagship project:
Forecasting California Wildfires via Celestial Cycles – A Scientific Validation of the Mysteryology Method.

Our goal is to rigorously test the model’s predictive skill and strengthen it through constructive feedback and collaborative enhancements.

Current Project for Review

The California Wildfire Prediction Project uses a novel, non-meteorological feature set to forecast ignition-prone intervals.
Our variables focus on cosmic–terrestrial resonance, including:

• Lprox – Proximity to nearest lunar phase

• MPTI – Moon Phase Transition Index

• Ssunspot – Normalized daily sunspot count

• Mkp – Normalized geomagnetic Kp index

• ETFI – Earth Tidal Force Index

• Moon–Earth and Sun–Earth distance metrics

• Normalized lunar illumination (Imoon)

• Spatial distance to the Nevada Triangle circumcenter
  
  

These features are integrated into a machine learning framework and tested against a blind dataset (January 2025 wildfire events removed) to ensure unbiased validation.

Collaboration Opportunities

We also invite:

• Data partnerships – Access to high-resolution ignition data for further validation.

• Joint research – Applying the Mysteryology Method to other hazards (earthquakes, hurricanes, tornadoes, volcanic activity).

• Grant collaborations – Co-authoring proposals for funding expansion to meteorology and fuel datasets.

Mysteryology Lab – Research Division of the Nevada Awareness Institute

Exploring Earth’s Hidden Forces through Multidisciplinary Science