Event Prediction and Planetary Transits
Objective
To test the "Mundane Astrology" hypothesis that major historical events (wars, political upheavals, disasters, economic crises) cluster around periods of high tension between the outer planets (Jupiter, Saturn, Uranus, Neptune, Pluto).
Methodology
- Event Data: A curated dataset of 498 historical events, filtered to exclude "positive" or "cultural" events (like art releases or scientific discoveries) to focus on "hard" geopolitical and physical reality events.
- Categories: Political (Coups/Revolutions), Military (Wars), Disasters (Natural/Terrorist), Economic (Crashes).
- Timeframe: 1666 - 2023.
- Planetary Calculation:
- Positions calculated using the Swiss Ephemeris (
swisseph). - Focus Planets: Jupiter, Saturn, Uranus, Neptune, Pluto.
- Aspects Tracked: Conjunction (0°), Square (90°), Opposition (180°).
- Orbs: 8° for Conjunction/Opposition, 6° for Square.
- Positions calculated using the Swiss Ephemeris (
- Statistical Test:
- Metric: Number of active major aspects between outer planets at the time of the event.
- Control: Monte Carlo simulation of 1,000 random dates within the same historical timeframe.
- Tests: T-test (1-sample) and Bootstrap Permutation Test.
Current Status
- Data: 498 confirmed historical events.
- Analysis: Completed.
- Results: Marginally significant (p ≈ 0.053).
Files
-
analysis.py: Main script for calculation and testing. -
event_data.csv: Output of processed event data with planetary positions. -
analysis_results.csv: Statistical summary. -
RESULTS.md: Detailed discussion of findings.
Data Provenance
Event Simulation
- Method: Randomised event generation tested against planetary transits.