Tri-State Gimme 5 Results
On Thursday night, May 30, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 07 13 18 22 25 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on May 30, 2024 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 30, 2024Tri-State Gimme 5 report — Thursday night, May 30, 2024: 07 13 18 22 25 shows a notable pattern
On Thursday night, May 30, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 07 13 18 22 25 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Thursday night, May 30, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 07 13 18 22 25 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 07 13 18 22 25 cover a wide range (7 to 25) with no repeats.
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
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
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
With its return, 07 13 18 22 25 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.