Mega Millions Results
On Tuesday night, September 24, 2024, the Mega Millions draw in Arizona produced a notable return: 01 06 10 23 27 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 September 24, 2024 in Arizona.
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, the Mega Millions draw in Arizona produced a notable return: 01 06 10 23 27 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, September 24, 2024, the Mega Millions draw in Arizona produced a notable return: 01 06 10 23 27 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
As a number pattern, 01 06 10 23 27 uses 5 distinct numbers and a wide spread from 1 to 27.
Why Droughts Matter
Prolonged absences are best read as context, not prescriptive - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
To clarify: this report documents outcomes logged on Tuesday night, September 24, 2024 and evaluates them against long-run frequency baselines. This is documentation, not a forecast.
From Stepzero
Importantly: this series is meant to sustain continuity in the archive as a reliable record for analysts. It is meant to inform, not forecast.
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. 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
The return of 01 06 10 23 27 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.