Mega Millions Results
On Tuesday night, November 15, 2022, the Mega Millions draw in Delaware produced a notable return: 06 19 28 46 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on November 15, 2022 in Delaware.
Draw times: Evening.
Our take on the Mega Millions results
November 15, 2022Mega Millions report — Tuesday night, November 15, 2022: 06 19 28 46 61 shows a notable pattern
On Tuesday night, November 15, 2022, the Mega Millions draw in Delaware produced a notable return: 06 19 28 46 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, November 15, 2022, the Mega Millions draw in Delaware produced a notable return: 06 19 28 46 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 6 to 61 (wide 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 Tuesday night, November 15, 2022 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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
The return of 06 19 28 46 61 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.