Tri-State Gimme 5 Results
On Thursday night, July 4, 2024, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 02 07 10 14 31 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on July 4, 2024 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
July 4, 2024Tri-State Gimme 5 report — Thursday night, July 4, 2024: 02 07 10 14 31 shows a notable pattern
On Thursday night, July 4, 2024, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 02 07 10 14 31 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Thursday night, July 4, 2024, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 02 07 10 14 31 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 02 07 10 14 31 cover a wide range (2 to 31) with no repeats.
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset. Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.