Mega Millions Results
On Friday night, June 13, 2025, the Mega Millions draw in West Virginia brought 08 10 22 40 47 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 13, 2025 in West Virginia.
Draw times: Evening.
Our take on the Mega Millions results
June 13, 2025Mega Millions report — Friday night, June 13, 2025: 08 10 22 40 47 shows a notable pattern
On Friday night, June 13, 2025, the Mega Millions draw in West Virginia brought 08 10 22 40 47 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 Friday night, June 13, 2025, the Mega Millions draw in West Virginia brought 08 10 22 40 47 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, 08 10 22 40 47 uses 5 distinct numbers and a wide spread from 8 to 47.
Why Droughts Matter
Large gaps function as context, not forward-looking - they show how distribution tails behave. Their value is in long-horizon tracking.
Data Notes
Worth noting: this report records the recorded draws for Friday night, June 13, 2025 and anchors them against historical cadence. The focus is documentation over prediction.
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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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 08 10 22 40 47 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.