Tri-State Pick 4 Results
On Sunday midday, March 29, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 9139 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on March 29, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 4 results
March 29, 2026Tri-State Pick 4 report — Sunday midday, March 29, 2026: 9139 shows a notable pattern
On Sunday midday, March 29, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 9139 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Sunday midday, March 29, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 9139 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
From a digit profile angle, this result uses 3 distinct digits while showing a repeated digit. The digits cover 1 to 9 with a wide range.
Why Droughts Matter
Extended gaps are context markers, not prescriptive - they track where outcomes drift from baseline spacing. Their value is in long-horizon tracking.
Data Notes
To clarify: this analysis records the results logged for Sunday midday, March 29, 2026 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
From Stepzero
The takeaway: this series is meant to keep a calm, evidence-first record as a calm, evidence-first reference. The goal is clarity and stability.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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.
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
Over the broader record, this result adds another archive entry to the historical dataset. The long-run picture sharpens as entries accrue.