Mega Millions Results
On Tuesday night, May 31, 2022, the Mega Millions draw in Wisconsin brought 06 15 41 63 64 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 May 31, 2022 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
May 31, 2022Mega Millions report — Tuesday night, May 31, 2022: 06 15 41 63 64 shows a notable pattern
On Tuesday night, May 31, 2022, the Mega Millions draw in Wisconsin brought 06 15 41 63 64 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, May 31, 2022, the Mega Millions draw in Wisconsin brought 06 15 41 63 64 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
As a number pattern, 06 15 41 63 64 uses 5 distinct numbers and a wide spread from 6 to 64.
Why Droughts Matter
Extended gaps are context markers, not a signal - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
The takeaway: these reports are intended to preserve a stable long-horizon record as context for disciplined analysis. The aim is context, not a call to action.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
With its return, 06 15 41 63 64 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.