Mega Millions Results
On Tuesday night, December 27, 2022, the Mega Millions draw in Massachusetts marked a notable return: 09 13 36 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on December 27, 2022 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
December 27, 2022Mega Millions report — Tuesday night, December 27, 2022: 09 13 36 59 61 shows a notable pattern
On Tuesday night, December 27, 2022, the Mega Millions draw in Massachusetts marked a notable return: 09 13 36 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Tuesday night, December 27, 2022, the Mega Millions draw in Massachusetts marked a notable return: 09 13 36 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 09 13 36 59 61 cover a wide range (9 to 61) with no repeats.
Why Droughts Matter
Extended absences are context, not prescriptive - they highlight the tail behavior of the system. They offer context for distribution stability over time.
Data Notes
This report summarizes observed outcomes for Tuesday night, December 27, 2022 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
To be clear: this reporting is designed to maintain continuity across the record as context for disciplined analysis. The goal is clarity and stability.
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
With its return, 09 13 36 59 61 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.