Tri-State Pick 3 Results
On Friday night, January 16, 2026, the Tri-State Pick 3 draw in Vermont marked a notable return: 541 reappeared in the draw after a 1105-day drought. In a system where combinations should surface roughly once every 1 in 1,000 draws (~500 days), an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 2 draws on January 16, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
January 16, 2026Tri-State Pick 3 report — Friday night, January 16, 2026: 541 returns after 1,105 days
On Friday night, January 16, 2026, the Tri-State Pick 3 draw in Vermont marked a notable return: 541 reappeared in the draw after a 1105-day drought. In a system where combinations should surface roughly once every 1 in 1,000 draws (~500 days), an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Friday night, January 16, 2026, the Tri-State Pick 3 draw in Vermont marked a notable return: 541 reappeared in the draw after a 1105-day drought. In a system where combinations should surface roughly once every 1 in 1,000 draws (~500 days), an absence of this length stands out for anyone tracking long-horizon frequency trends.
A Long-Awaited Return
A gap of 1105 days places 541 in the low-frequency tail of the distribution. The exact prior appearance date is not available in this view, but the duration alone signals an extended absence.
Combo Profile
The digits in 541 cover a moderate range (1 to 5) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Importantly: this reporting is shaped to sustain continuity in the archive as context for disciplined analysis. The aim is a trustworthy record.
Additional Context
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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.