Tri-State Pick 3 Results
On Monday midday, June 10, 2024, the Tri-State Pick 3 draw in New Hampshire brought 215 back after days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 2 draws on June 10, 2024 in New Hampshire.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
June 10, 2024Tri-State Pick 3 report — Monday midday, June 10, 2024: 215 shows a notable pattern
On Monday midday, June 10, 2024, the Tri-State Pick 3 draw in New Hampshire brought 215 back after days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday midday, June 10, 2024, the Tri-State Pick 3 draw in New Hampshire brought 215 back after days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the digits show a clean structure: 3 distinct digits with no repeats, spanning 1 to 5 (moderate spread).
Why Droughts Matter
Extended absences are best read as context, not a forecast - they record variance across time. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Monday midday, June 10, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At its core: this series is meant to preserve a stable long-horizon record as a reliable record for analysts. 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.
Adding to the Long-Term Record
Over the long run, this return adds a new point to the dataset to the archive. Long-horizon stability comes from accumulation.