Mega Millions Results
On Tuesday night, September 10, 2024, the Mega Millions draw in Massachusetts produced a notable return: 01 02 16 24 66 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 10, 2024 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
September 10, 2024Mega Millions report — Tuesday night, September 10, 2024: 01 02 16 24 66 shows a notable pattern
On Tuesday night, September 10, 2024, the Mega Millions draw in Massachusetts produced a notable return: 01 02 16 24 66 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 10, 2024, the Mega Millions draw in Massachusetts produced a notable return: 01 02 16 24 66 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 02 16 24 66 uses 5 distinct numbers and a wide spread from 1 to 66.
Why Droughts Matter
Extended absences are best read as context, not forward-looking - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
This report summarizes observed outcomes for Tuesday night, September 10, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Simply put: this reporting is shaped to keep the long-horizon record steady as context for disciplined analysis. It is meant to inform, not forecast.
Additional Context
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 01 02 16 24 66 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.