Mega Millions Results
On Tuesday night, June 2, 2026, for Vermont's Mega Millions draw, 15 26 43 48 60 resurfaced after days without an appearance in the Vermont record. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on June 2, 2026 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
June 2, 2026Mega Millions report — Tuesday night, June 2, 2026: 15 26 43 48 60 shows a notable pattern
On Tuesday night, June 2, 2026, for Vermont's Mega Millions draw, 15 26 43 48 60 resurfaced after days without an appearance in the Vermont record. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Overview
On Tuesday night, June 2, 2026, for Vermont's Mega Millions draw, 15 26 43 48 60 resurfaced after days without an appearance in the Vermont record. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number pattern, 15 26 43 48 60 uses 5 distinct numbers and a wide spread from 15 to 60.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
The method: this analysis documents the results logged for Tuesday night, June 2, 2026 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
Across the long-horizon record, this return contributes one more record entry to the cumulative record. It is the cumulative record that makes analysis stable.