Mega Millions Results
On Tuesday night, February 25, 2025, the Mega Millions draw in Washington produced a notable return: 04 08 11 32 52 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 February 25, 2025 in Washington.
Draw times: Evening.
Our take on the Mega Millions results
February 25, 2025Mega Millions report — Tuesday night, February 25, 2025: 04 08 11 32 52 shows a notable pattern
On Tuesday night, February 25, 2025, the Mega Millions draw in Washington produced a notable return: 04 08 11 32 52 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, February 25, 2025, the Mega Millions draw in Washington produced a notable return: 04 08 11 32 52 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, 04 08 11 32 52 uses 5 distinct numbers and a wide spread from 4 to 52.
Why Droughts Matter
Extended absences remain descriptive, not a forecast - they record variance across time. They help quantify how often outcomes move into the tails.
Data Notes
The method: this report captures the draw results for Tuesday night, February 25, 2025 and evaluates them against long-run frequency baselines. This is documentation, not a forecast.
From Stepzero
The takeaway: this series is designed to keep a calm, evidence-first record as a stable reference point. The aim is a trustworthy record.
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.
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 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
Across the long-horizon record, this result adds another archive entry to the archive. It is the cumulative record that makes analysis stable.