Tri-State Pick 4 Results
On Saturday night, March 14, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 3582 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 2 draws on March 14, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 4 results
March 14, 2026Tri-State Pick 4 report — Saturday night, March 14, 2026: 3582 shows a notable pattern
On Saturday night, March 14, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 3582 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Saturday night, March 14, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 3582 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
Beyond the drought, the digits show a clean structure: 4 distinct digits with no repeats, spanning 2 to 8 (wide spread).
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
As documented: this report captures results recorded for Saturday night, March 14, 2026 with benchmarking against long-run cadence. It is intended for context, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
Across the long-term record, this result adds one more entry to the long-run dataset. Stability comes from the growing record, not any one draw.