Mega Millions Results
On Friday night, January 16, 2026, the Mega Millions draw in Vermont brought 02 22 33 42 67 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on January 16, 2026 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
January 16, 2026Mega Millions report — Friday night, January 16, 2026: 02 22 33 42 67 shows a notable pattern
On Friday night, January 16, 2026, the Mega Millions draw in Vermont brought 02 22 33 42 67 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Friday night, January 16, 2026, the Mega Millions draw in Vermont brought 02 22 33 42 67 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 02 22 33 42 67 cover a wide range (2 to 67) with no repeats.
Why Droughts Matter
Extended absences are context markers, not a signal - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Friday night, January 16, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: this series is meant to keep the record consistent over time as a record, not a recommendation. The focus is long-horizon context.
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 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.
Adding to the Long-Term Record
In the broader record, this return adds one more entry to the long-horizon record. Stability comes from the growing record, not any one draw.