Tri-State Pick 3 Results
On Tuesday midday, March 24, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 473 after 594 days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on March 24, 2026 in New Hampshire.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
March 24, 2026Tri-State Pick 3 report — Tuesday midday, March 24, 2026: 473 returns after 594 days
On Tuesday midday, March 24, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 473 after 594 days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday midday, March 24, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 473 after 594 days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
A Long-Awaited Return
A gap of 594 days places 473 in the low-frequency tail of the distribution. The exact prior appearance date is not available in this view, but the duration alone signals an extended absence.
Combo Profile
The digits in 473 cover a moderate range (3 to 7) 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
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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
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.