Tri-State Pick 3 Results
On Monday midday, May 25, 2026, 701 landed again after 636 days out of the results in 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 25, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 25, 2026Tri-State Pick 3 report — Monday midday, May 25, 2026: 701 returns after 636 days
On Monday midday, May 25, 2026, 701 landed again after 636 days out of the results in Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
Overview
On Monday midday, May 25, 2026, 701 landed again after 636 days out of the results in 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 visible record shows 701 landing after a 636-day gap with no exact prior date available here. The length is sufficient to classify it as low-frequency.
Combo Profile
In terms of digit structure, the outcome uses 3 distinct digits with no repeats in the digits. The digits run from 0 to 7 with a wide range.
Why Droughts Matter
Extended gaps are context, not forward-looking - they track where outcomes drift from baseline spacing. Their value is in long-horizon tracking.
Data Notes
The approach: this report captures the recorded draws for Monday midday, May 25, 2026 and benchmarks them against historical frequency baselines. The focus is documentation over prediction.
From Stepzero
The core idea: this series is meant to maintain continuity across the record as a record, not a recommendation. The goal is clarity and stability.
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. 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
From a long-horizon view, this draw adds a new point to the dataset to the long-horizon record. The long-run picture sharpens as entries accrue.