Pick 3 Results
On Friday night, May 1, 2026, the Pick 3 draw in Texas produced a notable return: 062 after 480 days of absence. Against an expected cadence of 1 in 1,000 draws (~250 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 4 draws on May 1, 2026 in Texas.
Draw times: D, Evening, Midday, N.
Our take on the Pick 3 results
May 1, 2026Pick 3 report — Friday night, May 1, 2026: 062 returns after 480 days
On Friday night, May 1, 2026, the Pick 3 draw in Texas produced a notable return: 062 after 480 days of absence. Against an expected cadence of 1 in 1,000 draws (~250 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, May 1, 2026, the Pick 3 draw in Texas produced a notable return: 062 after 480 days of absence. Against an expected cadence of 1 in 1,000 draws (~250 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
A Long-Awaited Return
The available record shows 062 returning following 480 days away without the prior date surfaced in this window. The length is sufficient to classify it as low-frequency.
Combo Profile
From a digit profile angle, the pattern lands on 3 distinct digits while showing no repeats. The range sits at 0 to 6, a wide spread.
Why Droughts Matter
Long gaps are descriptive, not directional - they show how distribution tails behave. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Friday night, May 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: this reporting is built to preserve a stable long-horizon record as a reliable record for analysts. It is meant to inform, not 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
Over the broader record, 062 adds one more entry to the cumulative record. The long-run picture sharpens as entries accrue.