Mundane Astrology and World Events
Research Question
Do planetary cycles (particularly outer planet aspects) correlate with major world events as claimed by mundane astrology?
Background
Mundane astrology is the branch of astrology dealing with world events, nations, and collective experiences rather than individuals. Practitioners claim that:
- Saturn-Pluto aspects correlate with wars, destruction, power struggles
- Uranus-Pluto aspects correlate with revolutions and social upheaval
- Saturn-Neptune aspects correlate with epidemics, collective delusions
- Jupiter-Uranus aspects correlate with scientific breakthroughs
- Saturn-Uranus aspects correlate with tension between old and new orders
These claims have been promoted by astrologers for decades, with famous "hits" like:
- WWI (1914): Saturn opposite Pluto
- WWII (1939): Saturn conjunct Pluto
- COVID-19 (2020): Saturn conjunct Pluto
Hypothesis
Null hypothesis: Major world events occur randomly with respect to planetary configurations. Any apparent correlations are due to:
- Selection bias (remembering hits, forgetting misses)
- Base rate fallacy (major aspects occur ~48% of the time)
- Confirmation bias (fitting events to aspects post-hoc)
Alternative hypothesis: Major world events cluster significantly around specific planetary configurations.
Data Sources
World Events
- Wikipedia verified historical events database
- Academic history timelines and databases
- Event categories: Wars, Revolutions, Economic Crises, Technological Milestones, Natural Disasters, Political Changes
Planetary Data
- Swiss Ephemeris: Precise planetary positions 5000 BCE - 3000 CE
- Outer planets analyzed: Jupiter, Saturn, Uranus, Neptune, Pluto
- Aspects tracked: Conjunction (0°), Square (90°), Opposition (180°), Trine (120°)
Methodology
1. Event Collection
- Compile major world events from 1700-2025
- Each event coded by: date, type, description, verified source
- Target: 500+ major events across all categories
2. Aspect Calculation
For each event date, calculate:
- All pairwise aspects between outer planets (15 pairs)
- Angle within orb for each major aspect type
- Count of "hard" aspects (conjunction, square, opposition)
3. Control Generation
- Generate 5,000+ random dates from same time period
- Calculate same aspect data for each random date
- This establishes baseline rates for aspects
4. Statistical Tests
- Chi-square test: Event distribution vs expected by aspect presence
- T-test: Mean hard aspects at events vs random dates
- Fisher's exact test: Specific event types vs specific aspects
- Permutation test: Shuffle event dates to establish null distribution
Astrological Claims Tested
| Claim | Test |
|---|---|
| Saturn-Pluto = Wars | Compare war dates to Saturn-Pluto aspect frequency |
| Uranus-Pluto = Revolutions | Compare revolution dates to Uranus-Pluto aspects |
| Saturn-Neptune = Epidemics | Compare pandemic dates to Saturn-Neptune aspects |
| Jupiter-Uranus = Breakthroughs | Compare tech milestones to Jupiter-Uranus aspects |
| More aspects = More events | Compare event dates to random date aspect counts |
Aspect Definitions
| Aspect | Angle | Orb | Traditional Meaning |
|---|---|---|---|
| Conjunction | 0° | ±10° | Fusion, intensification |
| Square | 90° | ±8° | Tension, crisis |
| Opposition | 180° | ±10° | Polarity, confrontation |
| Trine | 120° | ±8° | Flow, ease |
| Sextile | 60° | ±6° | Opportunity |
Hard aspects (conjunction, square, opposition) are traditionally associated with crises and major events.
Expected Outcomes
If mundane astrology works:
- Event dates should show significantly MORE hard aspects than random dates
- Specific event types should cluster around their "associated" planet pairs
- The effect should be large enough to be practically useful for prediction
If mundane astrology doesn't work:
- No significant difference between event dates and random dates
- Specific associations (Saturn-Pluto = war) will not exceed chance rates
- Famous "hits" are explicable by base rates and selection bias
Technical Implementation
Dependencies
swisseph: Swiss Ephemeris Python wrapperpandas: Data manipulationscipy: Statistical testsmatplotlib: Visualization
Files
analysis.py: Main analysis scriptevent_data.csv: World events with aspect calculationsanalysis_results.csv: Statistical resultsmundane_analysis.png: VisualizationRESULTS.md: Findings summary
Running the Analysis
cd 19-mundane-astrology-world-events
python analysis.py
Key Findings
See the next page (results) for detailed findings.
References
- Campion, N. (2008). A History of Western Astrology
- Cornelius, G. (2003). The Moment of Astrology
- Dean, G. et al. (2016). "Tests of Astrology" in Correlation
- Wikipedia historical event timelines
- Swiss Ephemeris documentation
Data Provenance
World Events
- Source: Wikipedia 'Events' lists.
- Link: https://en.wikipedia.org/wiki/Portal:Current_events