Tri-State Gimme 5 Results
On Thursday night, May 28, 2026, during the Tri-State Gimme 5 draw in Vermont, 01 03 12 24 26 showed up again after days out of the results for Vermont. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Winning numbers for 1 draw on May 28, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 28, 2026Tri-State Gimme 5 report — Thursday night, May 28, 2026: 01 03 12 24 26 shows a notable pattern
On Thursday night, May 28, 2026, during the Tri-State Gimme 5 draw in Vermont, 01 03 12 24 26 showed up again after days out of the results for Vermont. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Overview
On Thursday night, May 28, 2026, during the Tri-State Gimme 5 draw in Vermont, 01 03 12 24 26 showed up again after days out of the results for Vermont. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Combo Profile
The numbers in 01 03 12 24 26 cover a wide range (1 to 26) with no repeats.
Why Droughts Matter
Long gaps are best treated as context, not directional - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
The method: this report captures results recorded for Thursday night, May 28, 2026 with benchmarking against long-run cadence. It is context-focused, not predictive.
From Stepzero
In summary: this reporting is shaped to preserve a stable long-horizon record as a stable reference point. The focus is long-horizon context.
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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, this draw adds another archive entry to the record. The long-run picture sharpens as entries accrue.