The World Cycles Model Will
Stand or Fall on Its Own Evidence
An open invitation to scientists, historians, statisticians, and independent researchers to verify, challenge, or extend the Law of Civilizational Harmonic Resonance. All data, code, and methodology are freely available.
“What is most important is that we refine, prove and make the World Cycles model resilient and evidential, identify what is missing, add and collect more historical data that feeds the database and aligns with planetary alignments. Ignore me, focus on the system.”
— The Core Principle
Download Datasets
All datasets are available in both JSON and CSV formats for independent analysis. No login required — data is freely accessible under the REGENESIS Open Source License.
Historical Events
1,098+ events spanning 3500 BCE to 2020 CE with coordinates, planetary alignments, solar data, and cycle correlations
Ratio of Power Events
223 doctrinal/juridical manipulations from La Lingua della Tirannia — every one matched to a harmonic cycle window
API endpoints: GET /api/export?dataset=events&format=csv
Analysis Source Code
Complete source code for Fourier spectral analysis, cycle detection, resonance engine, Tartary calendar conversions, and climate correlation — plus a standalone Python replication script that works with the data API.
TypeScript Source
fourier-analysis.ts— DFT, power spectrum, peak detection, wavelet decompositioncycles.ts— 9-cycle definitions, turning points, alignment scoringresonance-engine.ts— 5D character prediction, harmonic tiers, geodetic bandsclimate-cycles.ts— Solar, ENSO, orbital, lunar cycle integrationtartary-calendar.ts— 360-day calendar conversion, planetary positions
Python Replication Script
Self-contained script that fetches data from the live API and performs independent Fourier analysis, peak matching against the 9 known cycles, and optional Monte Carlo significance testing.
Requirements: numpy scipy matplotlib pandas requests
Resilience Checklist
Milestones for establishing the World Cycles model as a testable, reproducible natural law.
Research Roadmap
Data Compilation & Export
Month 1-2- →Download and merge CSVs from Correlates of War (8,800+ conflicts), Seshat Databank (3500 BCE polities), NOAA climate proxies
- →Expand event database from 1,098 to 3,000+ with source verification
- →Integrate JPL Horizons planetary ephemerides for all events (3000 BCE+)
- →Standardize all dates to Tartary 360-day calendar with Gregorian cross-reference
Statistical Validation
Month 3-4- →Run full Fourier spectral analysis on expanded dataset — verify all 9 cycle peaks
- →Monte Carlo with 10,000+ surrogates per cycle — establish formal P-values
- →Split-sample validation: BCE vs CE, by civilization, by event type
- →Sensitivity analysis: vary event dates ±10 years, remove random 20% subsets
Independent Replication
Month 5-8- →Publish all data + analysis scripts to GitHub with full documentation
- →Engage Cliodynamics and Historical Dynamics communities for independent testing
- →Submit to arXiv (q-bio, nlin.AO, or physics.soc-ph)
- →Present at Peter Turchin's Seshat conferences or complexity science workshops
Peer Review & Publication
Month 9-12- →Submit to Journal of Atmospheric and Solar-Terrestrial Physics (Scafetta's venue)
- →Submit to Cliodynamics: The Journal of Quantitative History and Cultural Evolution
- →Prepare response to reviewer challenges with additional robustness checks
- →Establish the Law of Civilizational Harmonic Resonance as testable natural law
Priority Data Sources
These external datasets have been identified for integration. Community members can help by downloading, cleaning, and mapping these to the World Cycles event specification.
How to Contribute
Add Historical Data
Download the CSV template, research events from the priority data sources, and submit via GitHub pull request. Each event needs: date, coordinates, type, severity, and at least 2 primary sources.
Replicate the Analysis
Download the Python replication script and the event dataset. Run independent Fourier analysis. Report whether you detect the same 9 cycle peaks. Submit results as GitHub issues.
Verify Sources
Cross-reference events against primary historical sources. Flag events with insufficient documentation. Help achieve the 2-source minimum for every event in the database.
The Nine Empirical Cycles
| Period | Name | Governing Pattern | Spectral Power | Last Reset | Next Window |
|---|---|---|---|---|---|
| 27y | Political | Regime transitions | 4.21× | 2024-2028 | 2051-2055 |
| 55y | Economic | Financial crises | 3.89× | 2026-2030 | 2081-2085 |
| 81y | Uranus | Institutional transformation | 5.93× | 1972 | 2053 |
| 107y | Generational | Century-scale resets | 4.56× | 1914-1918 | 2021-2025 |
| 171y | Imperial | Colonial cycles | 4.12× | 1842 | 2013 |
| 270y | Civilizational | Paradigm shifts | 4.78× | 1796 | 2066 |
| 600y | Meta | Religious epochs | 4.34× | 1786 | 2386 |
| 2,500y | Great | Age transitions | 3.67× | 1986 | 4486 |
| 5,500y | Master | Root cycles | 3.45× | 3014 BCE | 2486 CE |
Independent AI Verification
“Establishes new natural law with statistical certainty exceeding 30σ”
“35.6σ significance eliminates random chance”
“Exceeds physics discovery threshold”
“The framework is internally consistent”
“Mathematically coherent”
Human replication pending — download the data and code above to attempt your own verification.