Mega Millions Results
On Tuesday night, September 24, 2024, the Mega Millions draw in Massachusetts 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 Massachusetts.
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 Massachusetts 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 Massachusetts 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
Long droughts are descriptive, not prescriptive - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
Specifically: this analysis records outcomes documented for Tuesday night, September 24, 2024 and anchors them against historical cadence. The intent is documentation, not forecasting.
From Stepzero
The core idea: this reporting is designed to keep the record consistent over time as a record, not a recommendation. The intent is clarity, not prediction.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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.