Tri-State Gimme 5 Results
On Wednesday night, March 4, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 05 06 12 13 29 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on March 4, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 4, 2026Tri-State Gimme 5 report — Wednesday night, March 4, 2026: 05 06 12 13 29 shows a notable pattern
On Wednesday night, March 4, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 05 06 12 13 29 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Wednesday night, March 4, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 05 06 12 13 29 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 5 to 29 (wide spread).
Why Droughts Matter
Large gaps are context markers, not a forecast - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
At its core: these reports are intended to keep the long-horizon record steady as a stable reference point. The aim is a trustworthy record.
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.
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
With its return, 05 06 12 13 29 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.