Mega Millions Results
On Tuesday night, June 24, 2025, the Mega Millions draw in Vermont produced a notable return: 10 11 18 24 60 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 June 24, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
June 24, 2025Mega Millions report — Tuesday night, June 24, 2025: 10 11 18 24 60 shows a notable pattern
On Tuesday night, June 24, 2025, the Mega Millions draw in Vermont produced a notable return: 10 11 18 24 60 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, June 24, 2025, the Mega Millions draw in Vermont produced a notable return: 10 11 18 24 60 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
Structurally, this result has 5 distinct numbers with no repeats present. The numbers cover 10 to 60 with a wide range.
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Simply put: these reports are intended to document distribution behavior over time as a record, not a recommendation. The goal is clarity and stability.
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. 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
With its return, 10 11 18 24 60 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.