Results: Lunar Effects on Hospital Admissions

Analysis Date: January 21, 2026 Dataset: US Daily Births (1969-2014) Sample Size: 156,198,246 events Duration: 14,975 days

1. Executive Summary

After analyzing 156 million biological events over 45 years—controlling for weekly, seasonal, and generational trends—we found no statistically significant lunar or zodiacal effect on event frequency.

The "Anomaly Ratio" (deviation from expected daily volume) remained effectively 1.00 across all lunar phases and zodiac signs.

2. Lunar Phase Analysis (Scientific/Tropical)

Hypothesis: Full Moons (180°) trigger more biological events.

Metric Result Interpretation
Full Moon Ratio 1.001 Admission rates during Full Moons are 0.1% above average (noise).
New Moon Ratio 1.000 Exactly average.
Max Deviation +1.2% Observed at various random degrees, not consistently at phases.
Visual Trace Flat See clean_lunar_analysis_nobias.png (Top Plot).

3. Sidereal Zodiac Analysis (Vedic/Lahiri)

Hypothesis: The Moon's passage through specific Sidereal signs (e.g., Aries 0°, Libra 180°) triggers events.

Metric Result Interpretation
Aries (0°) 1.014 1.4% above average (Highest peak, but isolated).
Libra (180°) 1.002 0.2% above average (insignificant).
General Trend Flat No sine wave or consistent zodiacal pattern detected.

4. Signal-to-Noise Analysis

Despite the massive sample size (which allows us to detect even tiny effects), the observed variations appear to be random noise rather than a biological signal.

5. Visual Proof

File: clean_lunar_analysis_nobias.png

Conclusion

This rigorous, detrended analysis supports the Null Hypothesis:

The Moon's phase and zodiacal position have no measurable impact on the timing of spontaneous human biological events (births).