Tri-State Gimme 5 Results
In the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 reappeared following a -day absence in Vermont results. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Winning numbers for 1 draw on May 22, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 22, 2026Tri-State Gimme 5 report — Friday night, May 22, 2026: 02 07 15 17 26 shows a notable pattern
In the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 reappeared following a -day absence in Vermont results. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Overview
In the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 reappeared following a -day absence in Vermont results. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 2 to 26 (wide spread).
Why Droughts Matter
Extended gaps are descriptive, not directional - they document what has already happened. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Friday night, May 22, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Importantly: this reporting is shaped to preserve a stable long-horizon 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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
Across the long-horizon record, today's outcome adds one more entry to the archive. Reliability is a function of the growing record.