Mega Millions Results
On Tuesday night, June 11, 2024, the Mega Millions draw in Wisconsin brought 01 05 07 22 24 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 June 11, 2024 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
June 11, 2024Mega Millions report — Tuesday night, June 11, 2024: 01 05 07 22 24 shows a notable pattern
On Tuesday night, June 11, 2024, the Mega Millions draw in Wisconsin brought 01 05 07 22 24 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, June 11, 2024, the Mega Millions draw in Wisconsin brought 01 05 07 22 24 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, 01 05 07 22 24 uses 5 distinct numbers and a wide spread from 1 to 24.
Why Droughts Matter
Deep gaps are best read as context, not prescriptive - they document what has already happened. They offer context for distribution stability over time.
Data Notes
As documented: this report documents outcomes documented for Tuesday night, June 11, 2024 and benchmarks them against historical frequency baselines. The focus is documentation over prediction.
From Stepzero
The takeaway: this series is designed to maintain continuity across the record as a calm, evidence-first reference. The focus is long-horizon context.
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 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
The return of 01 05 07 22 24 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.