Tri-State Megabucks Results
On Saturday night, May 30, 2026, during the Tri-State Megabucks draw in Vermont, 05 16 22 27 37 showed up again after days without an appearance in the Vermont draw record. Against an expected cadence of 1 in 749,398 draws, the gap stands out as a long-horizon outlier.
Winning numbers for 1 draw on May 30, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
May 30, 2026Tri-State Megabucks report — Saturday night, May 30, 2026: 05 16 22 27 37 shows a notable pattern
On Saturday night, May 30, 2026, during the Tri-State Megabucks draw in Vermont, 05 16 22 27 37 showed up again after days without an appearance in the Vermont draw record. Against an expected cadence of 1 in 749,398 draws, the gap stands out as a long-horizon outlier.
Overview
On Saturday night, May 30, 2026, during the Tri-State Megabucks draw in Vermont, 05 16 22 27 37 showed up again after days without an appearance in the Vermont draw record. Against an expected cadence of 1 in 749,398 draws, the gap stands out as a long-horizon outlier.
Combo Profile
In structural terms, this result has 5 distinct numbers with no repeats. The numbers run from 5 to 37 with a wide range.
Why Droughts Matter
Long droughts are context markers, not forward-looking - they record variance across time. They help analysts track drift against expected cadence.
Data Notes
In detail: this report records outcomes logged on Saturday night, May 30, 2026 and compares them to historical cadence. The intent is documentation, not forecasting.
From Stepzero
To be clear: this series is meant to maintain continuity across the record for analysts and long-run tracking. The aim is context, not a call to action.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.
Adding to the Long-Term Record
Over the long run, this draw contributes one more record entry to the archive. Reliability is a function of the growing record.