Mega Millions Results
On Tuesday night, December 31, 2024, the Mega Millions draw in West Virginia produced a notable return: 13 22 27 29 35 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 December 31, 2024 in West Virginia.
Draw times: Evening.
Our take on the Mega Millions results
December 31, 2024Mega Millions report — Tuesday night, December 31, 2024: 13 22 27 29 35 shows a notable pattern
On Tuesday night, December 31, 2024, the Mega Millions draw in West Virginia produced a notable return: 13 22 27 29 35 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, December 31, 2024, the Mega Millions draw in West Virginia produced a notable return: 13 22 27 29 35 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
In terms of number structure, this result lands on 5 distinct numbers with no repeats in the pattern. The numbers span 13 to 35, a wide spread.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
As documented: this analysis documents the results logged for Tuesday night, December 31, 2024 and evaluates them against long-run frequency baselines. The goal is context, not prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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. 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
Across the long-term record, this entry adds another archive entry to the archive. Reliability is a function of the growing record.