Mega Millions Results
On Friday night, November 1, 2024, the Mega Millions draw in Washington produced a notable return: 11 22 42 46 51 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 November 1, 2024 in Washington.
Draw times: Evening.
Our take on the Mega Millions results
November 1, 2024Mega Millions report — Friday night, November 1, 2024: 11 22 42 46 51 shows a notable pattern
On Friday night, November 1, 2024, the Mega Millions draw in Washington produced a notable return: 11 22 42 46 51 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 Friday night, November 1, 2024, the Mega Millions draw in Washington produced a notable return: 11 22 42 46 51 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
From a pattern view, the outcome has 5 distinct numbers while showing no repeats. The range sits at 11 to 51, 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
The approach: this analysis records outcomes logged on Friday night, November 1, 2024 and anchors them against historical cadence. It is intended for context, not forecasting.
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
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
In the broader record, this appearance adds another archive entry to the long-horizon record. The record gains clarity as entries accumulate.