Mega Millions Results
On Tuesday night, March 25, 2025, the Mega Millions draw in Rhode Island brought 01 05 17 39 62 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 March 25, 2025 in Rhode Island.
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 Rhode Island brought 01 05 17 39 62 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 Tuesday night, March 25, 2025, the Mega Millions draw in Rhode Island brought 01 05 17 39 62 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 01 05 17 39 62 cover a wide range (1 to 62) with no repeats.
Why Droughts Matter
Long droughts are descriptive, not a forecast - they document what has already happened. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Tuesday night, March 25, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
The return of 01 05 17 39 62 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.