Tri-State Pick 3 Results
On Saturday midday, May 30, 2026, for Vermont's Tri-State Pick 3 draw, 579 resurfaced after 877 days without an appearance for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
Winning numbers for 2 draws on May 30, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 30, 2026Tri-State Pick 3 report — Saturday midday, May 30, 2026: 579 returns after 877 days
On Saturday midday, May 30, 2026, for Vermont's Tri-State Pick 3 draw, 579 resurfaced after 877 days without an appearance for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
Overview
On Saturday midday, May 30, 2026, for Vermont's Tri-State Pick 3 draw, 579 resurfaced after 877 days without an appearance for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
A Long-Awaited Return
The present log shows 579 landing after 877 days without an appearance without the prior date surfaced in this window. The interval is long enough to stand out on duration alone.
Combo Profile
In terms of digit structure, the combination shows 3 distinct digits with no repeats present. The digits cover 5 to 9 with a moderate range.
Why Droughts Matter
Deep gaps are context markers, not a cue - they show where spacing departs from typical cadence. They offer context for distribution stability over time.
Data Notes
Specifically: this report documents outcomes logged on Saturday midday, May 30, 2026 with comparison to long-run frequency baselines. It is intended for context, not forecasting.
From Stepzero
Simply put: this reporting is shaped to keep the record consistent over time as a reliable record for analysts. The aim is a trustworthy record.
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 appearance adds another archive entry to the long-horizon record. Reliability is a function of the growing record.