Mega Millions Results
On Tuesday night, March 25, 2025, the Mega Millions draw in Vermont produced a notable return: 01 05 17 39 62 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 March 25, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
March 25, 2025Mega Millions report — Tuesday night, March 25, 2025: 01 05 17 39 62 shows a notable pattern
On Tuesday night, March 25, 2025, the Mega Millions draw in Vermont produced a notable return: 01 05 17 39 62 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, March 25, 2025, the Mega Millions draw in Vermont produced a notable return: 01 05 17 39 62 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
Structurally, this sequence lands on 5 distinct numbers and no repeats. The numbers span 1 to 62, a wide spread.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Tuesday night, March 25, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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
With its return, 01 05 17 39 62 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.