Tri-State Gimme 5 Results
On Friday night, June 14, 2024, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 05 08 10 18 36 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on June 14, 2024 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
June 14, 2024Tri-State Gimme 5 report — Friday night, June 14, 2024: 05 08 10 18 36 shows a notable pattern
On Friday night, June 14, 2024, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 05 08 10 18 36 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, June 14, 2024, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 05 08 10 18 36 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 05 08 10 18 36 uses 5 distinct numbers and a wide spread from 5 to 36.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This report summarizes observed outcomes for Friday night, June 14, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
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 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
With its return, 05 08 10 18 36 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.