Tri-State Megabucks Results
On Monday night, April 20, 2026, the Tri-State Megabucks draw in Vermont produced a notable return: 04 11 23 32 41 after days of absence. Against an expected cadence of 1 in 749,398 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on April 20, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
April 20, 2026Tri-State Megabucks report — Monday night, April 20, 2026: 04 11 23 32 41 shows a notable pattern
On Monday night, April 20, 2026, the Tri-State Megabucks draw in Vermont produced a notable return: 04 11 23 32 41 after days of absence. Against an expected cadence of 1 in 749,398 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, April 20, 2026, the Tri-State Megabucks draw in Vermont produced a notable return: 04 11 23 32 41 after days of absence. Against an expected cadence of 1 in 749,398 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
In structural terms, the pattern contains 5 distinct numbers and no repeats. The range sits at 4 to 41, a wide spread.
Why Droughts Matter
Deep gaps are best read as context, not forward-looking - they mark how variance accumulates over long samples. They provide a clean read on long-run variance.
Data Notes
Worth noting: this report records observed outcomes for Monday night, April 20, 2026 and anchors them against historical cadence. The goal is context, not prediction.
From Stepzero
The takeaway: this series is designed to document distribution behavior over time as a reliable record for analysts. The goal is clarity and stability.
Additional Context
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.
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
Across the long-term record, this draw adds another data point to the archive. It is the cumulative record that makes analysis stable.