Tri-State Gimme 5 Results
On Wednesday night, February 4, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 06 07 08 17 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Winning numbers for 1 draw on February 4, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 4, 2026Tri-State Gimme 5 report — Wednesday night, February 4, 2026: 04 06 07 08 17 shows a notable pattern
On Wednesday night, February 4, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 06 07 08 17 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Overview
On Wednesday night, February 4, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 06 07 08 17 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Combo Profile
In terms of number structure, the pattern has 5 distinct numbers and no repeats. The spread runs 4 to 17 (wide).
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 report summarizes observed outcomes for Wednesday night, February 4, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Importantly: these reports are intended to sustain continuity in the archive for analysts and long-run tracking. The aim is a trustworthy record.
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.
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
Over the long run, 04 06 07 08 17 extends the historical ledger to the historical dataset. Long-horizon stability comes from accumulation.