Cash 3 Results
On Wednesday midday, April 15, 2026, in the Georgia Cash 3 draw, 366 landed again following a 1801-day absence for Georgia. Against an expected cadence of 1 in 1,000 draws (~333 days), the gap stands out as a long-horizon outlier.
Winning numbers for 3 draws on April 15, 2026 in Georgia.
Draw times: D, Evening, N.
Our take on the Cash 3 results
April 15, 2026Cash 3 report — Wednesday midday, April 15, 2026: 366 returns after 1,801 days
On Wednesday midday, April 15, 2026, in the Georgia Cash 3 draw, 366 landed again following a 1801-day absence for Georgia. Against an expected cadence of 1 in 1,000 draws (~333 days), the gap stands out as a long-horizon outlier.
Overview
On Wednesday midday, April 15, 2026, in the Georgia Cash 3 draw, 366 landed again following a 1801-day absence for Georgia. Against an expected cadence of 1 in 1,000 draws (~333 days), the gap stands out as a long-horizon outlier.
A Long-Awaited Return
The visible record shows 366 landing following 1801 days away without a precise prior date. The gap itself is the notable signal here.
Combo Profile
Beyond the drought, the digits show a clean structure: 2 distinct digits with a repeated digit, spanning 3 to 6 (moderate spread).
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This report summarizes observed outcomes for Wednesday midday, April 15, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.