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Lottery Windfall Model Update: Apophis, Lilith, and Calibration

The latest production handoff adds esoteric asteroid features, publishes the backtest lift, and keeps the proof boundary intact.

This update records the current lottery / windfall research handoff that now feeds the production Astral Edge scorer.

The short version: the engine now resolves Lucifer (1930), Apophis (99942), Mean Black Moon Lilith, and Asteroid Lilith (1181). Two Jupiter-to-natal-body features were promoted into the windfall evidence registry, and the active model backtest improved after the scoring layer stopped double-shrinking validated effect sizes.

This is still a ranking signal, not a lottery promise. The strongest individual windfall findings did not survive Benjamini-Yekutieli correction, so they remain evidence-weighted timing hypotheses rather than proof claims.

What changed in the engine

The backend ephemeris now computes four esoteric bodies used by the windfall research lane:

Body Runtime handling
Lucifer (1930) Minor-body solver with Swiss Ephemeris compatible ID fallback
Apophis (99942) Minor-body solver with Swiss Ephemeris compatible ID fallback
Mean Black Moon Lilith Mean lunar apogee calculation
Asteroid Lilith (1181) Minor-body solver with Swiss Ephemeris compatible ID fallback

The mobile client also has glyph mappings for these bodies, so live forecast reasons can render compactly in the app.

New windfall hypotheses

Two features were added to the production evidence layer:

Feature Meaning
H108_transit_jupiter_to_apophis_partile Transiting Jupiter makes a tight Ptolemaic aspect to natal Apophis
H109_transit_jupiter_to_lilith_partile Transiting Jupiter makes a tight Ptolemaic aspect to natal Mean Black Moon Lilith

The symbolic read is straightforward: Jupiter marks expansion; Apophis and Lilith describe disruptive, shadowed, or taboo material. In a windfall context, the research question is whether exact Jupiter activations of those natal points cluster around jackpot events more often than a shuffled event baseline.

Event-weighted permutation results

The latest timed-birth lottery cohort used 2,000 empirical permutation resamples. The leading event-weighted findings were:

Feature Observed Null mean Cohen's h p-value
H108_transit_jupiter_to_apophis_partile 14.4% 4.5% +0.35 0.0035
win_transit_venus_to_H2_ruler_hard 14.4% 4.8% +0.34 0.0060
win_profection_H5 18.9% 7.5% +0.35 0.0090
win_progressed_moon_to_H2_ruler_partile 8.9% 2.2% +0.31 0.0100
H109_transit_jupiter_to_lilith_partile 13.3% 5.3% +0.28 0.0185

The important boundary: these are strong exploratory and evidence-weighted signals, not settled proof. The report found no BY survivors at q=0.10.

Active model backtest

The active production model is research-anchored-v4-N593. After calibration, the same-day ranking check across lottery-winner rows produced:

Metric Result Random baseline
Mean same-day percentile 0.700 0.500
Median same-day percentile 0.708 0.500
Top-quartile rate 30.4% 25.0%
Top-decile rate 16.1% 10.0%

That is why the app can use these factors as part of a timing rank. It is not a claim that a high-ranked window predicts a win or should change someone's budget.

What failed

The broader sweep is just as important as the hits. Traditional moon-phase claims and lunar mansion / nakshatra claims showed no statistical edge in this run. The strongest extended phenomena were more specific: transiting Moon to natal Jupiter and transiting Moon to the natal eighth-house ruler.

Product translation: Astral Edge can show these windfall factors when they are present, but it must keep the copy reflective, budget-safe, and non-predictive. The right user action is journaling and comparison against reality, not chasing a jackpot.