Timing Have Predictive Power?
For two and a half thousand years, scholars across India, Persia and the Arab world tracked planetary cycles and correlated them with earthly events. The question this project asks is simple: when you strip away the mysticism and apply modern statistical methods, does anything in those frameworks actually survive? This paper introduces Tempora Research, our methodology, our findings to date, and what we are building. The short answer is that most of it does not survive. But some of it does, in ways that are genuinely surprising, reproducible and publicly reconcilable. Individual signals reach up to 5.46 times their expected frequency on confirmed historical event dates. We have published nine research notes. We have 72 public, dated predictions through 2030. We keep score on everything.
1. The Question Nobody Was Asking Rigorously
Astrology has two problems. The first is that most of its practitioners make it impossible to falsify, predictions are vague, retroactively interpreted, and never publicly scored. The second is that most of its critics dismiss it without testing it, defaulting to prior probability rather than evidence.
Neither position is intellectually satisfying. The question, does any astronomical cycle correlate non-randomly with historical events when tested against data?, is an empirical one. It deserves an empirical answer.
This is what Tempora Research does. We take the frameworks seriously enough to test them properly: precise astronomical calculations, documented historical events, Monte Carlo baselines, statistical significance testing, and forward predictions that are dated, specific and publicly tracked. If the model fails, you will see it in the numbers. That is the point.
We are not claiming that planets cause events, that astrology is spiritually "real," or that any individual's fate is written in the sky. We are asking a narrow empirical question: do certain measurable astronomical cycles correlate with historical event clusters at rates that exceed chance? The answer, for specific signals in specific charts, appears to be yes. We report that finding with appropriate uncertainty and invite challenge.
2. The Framework, Without the Jargon
Vedic astronomical traditions, developed in India over roughly 2,500 years, refined by mathematicians whose orbital calculations remained accurate to within minutes of arc, produced two primary timing tools that we test.
The first is a planetary period system: a 120-year cycle divided into major and minor periods, each associated with a specific planet, determined by the position of the Moon at the moment of a nation's founding. This system assigns each entity, a country, a government, a person, a current operating "period" that cycles through all planets over time. Our research tests whether the nature of the ruling period correlates with the character of events during that period.
The second is a transit overlay system: the current positions of planets tracked against the fixed positions they held at the moment of founding. When a planet in motion crosses a sensitive point in the founding chart, the system predicts elevated activity. We test whether these transit crossings correlate with documented historical events at rates above the random baseline.
Both systems are computed with sub-arc-minute precision using Swiss Ephemeris, the same computational core used by professional observatories. There is no interpretation, no intuition, no hand-waving. The calculations are deterministic and fully reproducible.
3. What We Tested
We built a scoring engine that computes nine specific signals for any chart on any date, produces a single confluence score between 0% and 100%, and can be run forward or backward across any time period. We then ran it against history.
Six national founding charts: India (independence, 1947), United States (independence, 1776), Russia (post-Soviet founding, 1991), China (People's Republic, 1949), United Kingdom (Act of Union, 1801), Pakistan (independence, 1947).
39 confirmed historical events with documented dates: assassinations, elections, wars, financial crises, natural disasters, constitutional changes. For each event, we scored the founding chart against the astronomical conditions on that date.
300 random baseline dates per country, 1,800 random scores in total, to establish what the scoring engine produces by chance. This is the Monte Carlo baseline: the null hypothesis that the engine scores event dates no differently than random ones.
The test: do historical event dates score higher than random dates? If not, if the engine cannot distinguish a date when something happened from a date when nothing happened, the framework has no predictive power and the project stops here.
4. What We Found
The aggregate result was disappointing. Across all countries using generic, uniform scoring, the average lift was 0.82x, meaning the engine actually scored historical events slightly worse than random dates. Generic scoring fails.
But this masked something important. When we stopped applying uniform weights across all signals and instead calibrated each country's chart against its own historical record, asking "which specific signals actually fire on this chart's event dates?", the results changed dramatically.
The key insight: every founding chart has a unique sensitive axis. India's chart is dominated by the tension between its Cancer configuration and its Capricorn opposition. Russia's chart is acutely sensitive to a specific Mars-nodal conjunction. The US chart responds most strongly to Saturn's transit of its natal Sun position. Averaging these different sensitivities together produces noise. Isolating them produces signal.
After replacing generic weights with chart-specific calibrated weights derived from historical data, lift ratios improved significantly across all six countries:
| Country | Events Tested | Generic Lift | Calibrated Lift | Improvement |
|---|---|---|---|---|
| Russia | 4 | 1.15x | 3.12x | +171% |
| United States | 8 | 0.91x | 2.34x | +157% |
| UK | 4 | 0.70x | 1.89x | +170% |
| India | 15 | 0.92x | 1.71x | +86% |
| Pakistan | 4 | 0.56x | 1.62x | +189% |
| China | 4 | 0.65x | 1.44x | +121% |
These are not large sample sizes. We say this explicitly. Russia's 5.46x lift derives from four historical events, statistically suggestive, not definitive. The US has eight events and a more robust result. India has fifteen events and the strongest calibration in the dataset. We are honest about what the numbers can and cannot support.
What they can support: the hypothesis that chart-specific astronomical signals correlate with historical event clusters at rates meaningfully above chance is worth taking seriously and investigating further. That is the claim. No more, no less.
5. The Forward Test, Where the Real Evidence Will Come From
Backtesting has a fundamental problem: when you calibrate a model against historical data, you can always find patterns after the fact. The real test of any predictive framework is its forward performance, predictions made before the event, publicly recorded, with specific dates and publicly reconcilable criteria.
This is what Tempora's prediction register does. Using the calibrated engine, we have generated 72 specific, dated predictions across all countries we track, running through 2030. Each prediction has:
- A specific date window (e.g. "December 2027 ±90 days")
- A specific claim (e.g. "India experiences a major political, security or economic event")
- Scoring criteria, what counts as a hit, what counts as a miss, what counts as partial
- Public tracking, hits and misses are both recorded at www.tempora.ltd
The most significant near-term predictions from the calibrated engine:
By 2030, we will have a meaningful forward performance record across 72 predictions in 9+ countries. If the model's calibrated signals have genuine predictive power, the hit rate should exceed the 35% random baseline substantially. If it does not, we will say so, publish the analysis, and revise the framework accordingly.
6. What We Have Published
India 2026–2027: 21 Bold Predictions
India's independence chart mapped against 78 years of history. 21 dated, publicly reconcilable predictions across politics, economy and security.
Indian Markets: Dual Chart Overlay
Two independent founding charts overlaid on 30 years of Nifty 50 data. Every major crash and rally identified. Sector calls for 2026–2028.
The Geopolitical Clock: Six Nations, 2025–2030
Our first multi-country analysis. 92 historical events backtested. 15 forward predictions. The 2028–2029 global convergence identified.
Calibrating the Clock: Chart-Specific Signal Weights
The methodology paper. How we derived empirically validated weights from historical data. Why generic scoring fails. Full calibration results per country.
Temporal Windows 2026–2030: Validated Forward Predictions
The calibrated engine applied forward. 12 specific prediction windows. The global convergence of 2028–2029 mapped in detail.
Geopolitical Deep Dives: China-Taiwan, Middle East, South Asia
Three papers applying multi-chart convergence analysis to the world's most significant geopolitical fault lines. Stability corridors, fighting windows, and destruction windows mapped through 2030.
7. What We Are Building
The research is the foundation. The product is Kaala, a temporal intelligence engine that makes these signals accessible in real time.
For individuals: your personal chart analysed against the same engine, showing your current operating period, active signals, and upcoming windows. For institutions: country-level prediction windows, confluence scores, and API access for analysts who want to incorporate temporal risk signals into geopolitical and investment frameworks.
The research is open. The code is open. The predictions are public. The scoring is transparent. If you find a flaw in the methodology, we want to know. If the predictions fail, we will publish that too.
That is what separates research from fortune-telling.
All papers are available at tempora.ltd. The full codebase is on GitHub. The prediction register is publicly tracked. If you are a statistician, a geopolitical analyst, an astronomer, or simply a rigorous sceptic, we are specifically interested in your challenges. The framework improves when it is tested. That is the entire point.
7. Engine Update · 17 June 2026
This note was published in March 2026 as the framework's introduction. The methodology has since been documented in greater depth across three foundation notes. Readers reaching this note should treat it as the orientation document; the formal foundation now lives in Notes 002, 003 and 004.
Note 002 (Substrate) documents the chart computation stack the framework rests on: Swiss Ephemeris for planetary positions and True Pushya Paksha for the sidereal correction. Reproducibility as audit. A worked example on the USA 1776 chart comparing two ayanamsas at the sub-arcminute level.
Note 003 (Period Architecture) documents the Vimshottari period system the temporal scaffold rests on. The 120-year cycle, the three-level hierarchy, the lord-of-period convention. A worked example on the India 1947 chart with the full Mahadasha sequence aligned to documented historical events.
Note 004 (Public Reconciliation) documents the discipline that closes the loop between published claim and observed outcome. Window, test condition, named mechanism. A worked example on call 035 (March 2026 India eclipse) showing the verdict cycle in practice.
The chart-side engine has also expanded since this note's first publication. The rule firing report now executes 94 rules per chart per query date, up from 64 at the time of the original calibration runs. The expanded library includes the classical structural-promise yogas (Pancha Mahapurusha, Raja, Dhana, Vipareeta, Gaja Kesari, Budhaditya, Chandra-Mangala), the natal Neecha Bhanga refinement, transit modulation (combustion, retrograde, cusp degree, planetary war), a mundane precision layer (Brihat Samhita commodity prices, Mundane Bhinnashtaka Varga, Saptarshi mandala anchor, Tara Bala, Chandra Bala, eclipse-axis on natal) and the Mundane Atmakaraka theme detection. The expanded coverage makes the country case studies in Notes 007, 008 and 009 reproducible at finer resolution than the original publications could offer.
The discipline remains the same. The substrate is open. The period system is deterministic. Forward calls carry their test conditions in writing before the result is known. The public tracker is the receipt the methodology stakes itself on. This note's argument is intact. The foundation is more thoroughly documented now than it was at first publication.
8. Frequently asked
What is Tempora Research?
Tempora Research is a Vedic astrology research firm. The discipline is to identify temporal windows where chart-side signatures register elevated structural pressure, publish those windows as dated, publicly reconcilable forward calls, and reconcile each call against observed events when its window closes.
What did Tempora's initial backtest find?
The first published calibration runs (six national charts, nine signature classes, Monte Carlo baseline of 300 random dates per chart) returned lift figures above the random baseline for several country-signature pairs. India saturn-Moon-opposition holds a calibrated lift of 3.60x. Twelve of fifty-four pairs were retired for event-set depletion in the 9 May 2026 internal audit.
How does Tempora differ from traditional astrology?
Tempora publishes the calibration math, the natal records, the orb tolerances, the labelled event sets and the engine code. Every forward call ships with a reconciliation condition specifying the observation that would retire it. Traditional astrology publishes the interpretation; Tempora publishes the artefacts that let a third party regenerate the interpretation from inputs.
What is a forward test in Tempora's framework?
A forward test is a public, dated, publicly reconcilable prediction issued before the window opens. It names the country, the window dates, the transit and dasha signature driving the call, the calibrated lift figure where calibration is intact, and the explicit reconciliation condition. The window then either fires (MET) or does not (FAILED) or partially fires (PARTIAL). The verdict is logged on the public tracker.
What has Tempora published?
Six research notes, the calibration engine, the calibrated-weights table, ninety findings articles across nine clusters, the public tracker of forward calls, and the canonical-charts methodology document. The audit cycle output is published the same way: errors caught, retired in writing, and propagated to downstream articles.
What is Tempora building toward?
The longer-term aim is a research firm that public readers, journalists and policy researchers cite the way they cite Bloomberg or the Conference Board, on different ground but with the same expectation of method, reproducibility and audit transparency. The audit-transparency stance is the brand: errors caught publicly are the discipline, not a failure mode.
Methods & Data
Tempora's calibration runs on the Swiss Ephemeris with the True Pushya Paksha ayanamsa by PVRN Rao. Lift figures are scored against a Monte Carlo baseline of 300 randomised draws per signature class.
Methodology: Calibrated lift · reconciliation condition discipline · Forward-call tracker