Mega Millions Results
On Tuesday night, March 25, 2025, the Mega Millions draw in Washington 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 Washington.
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 Washington 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 Washington 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
The numbers in 01 05 17 39 62 cover a wide range (1 to 62) with no repeats.
Why Droughts Matter
Long gaps are context markers, not directional - they highlight the tail behavior of the system. They offer context for distribution stability over time.
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
The core idea: these reports are built to keep the long-horizon record steady as a reference point for continuity. The aim is a trustworthy record.
Additional Context
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. 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
From a long-horizon view, this return adds another archive entry to the long-horizon record. Long-horizon stability comes from accumulation.