Mega Millions Results
On Tuesday night, September 24, 2024, in the Wisconsin Mega Millions draw, 01 06 10 23 27 landed again after a -day gap in Wisconsin. Relative to 1 in 12,103,014 draws, the gap reads as a long-horizon outlier.
Winning numbers for 1 draw on September 24, 2024 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
September 24, 2024Mega Millions report — Tuesday night, September 24, 2024: 01 06 10 23 27 shows a notable pattern
On Tuesday night, September 24, 2024, in the Wisconsin Mega Millions draw, 01 06 10 23 27 landed again after a -day gap in Wisconsin. Relative to 1 in 12,103,014 draws, the gap reads as a long-horizon outlier.
Overview
On Tuesday night, September 24, 2024, in the Wisconsin Mega Millions draw, 01 06 10 23 27 landed again after a -day gap in Wisconsin. Relative to 1 in 12,103,014 draws, the gap reads as a long-horizon outlier.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 1 to 27 (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, September 24, 2024 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.
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 01 06 10 23 27 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.