Tri-State Pick 4 Results
On Tuesday night, May 5, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 0541 after 8913 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 May 5, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 4 results
May 5, 2026Tri-State Pick 4 report — Tuesday night, May 5, 2026: 0541 returns after 8,913 days
On Tuesday night, May 5, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 0541 after 8913 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 Tuesday night, May 5, 2026, the Tri-State Pick 4 draw in Vermont produced a notable return: 0541 after 8913 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.
A Long-Awaited Return
The available record shows 0541 returning after 8913 days. That span is long enough to register as a low-frequency outcome even when the exact prior date is not surfaced.
A Subtle Pattern in the Digits
An overlap note: 1 came back in 1483 before returning in 0541. A single repeat is not a forward signal. It is a context marker for short-window tracking.
Combo Profile
In structural terms, the pattern lands on 4 distinct digits with no repeats present. The range sits at 0 to 5, a moderate 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
This analysis uses the draw results recorded for Tuesday night, May 5, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Adding to the Long-Term Record
In the broader record, this draw contributes one more record entry to the historical dataset. Reliability is a function of the growing record.