Pick 6 Results
On Monday midday, December 15, 2025, the Pick 6 draw in New Jersey produced a notable return: 01 07 10 22 32 41 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on December 15, 2025 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
December 15, 2025Pick 6 report — Monday midday, December 15, 2025: 01 07 10 22 32 41 shows a notable pattern
On Monday midday, December 15, 2025, the Pick 6 draw in New Jersey produced a notable return: 01 07 10 22 32 41 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday midday, December 15, 2025, the Pick 6 draw in New Jersey produced a notable return: 01 07 10 22 32 41 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 1 to 41 (wide spread).
Why Droughts Matter
Prolonged absences are context, not prescriptive - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Monday midday, December 15, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
Over the long run, this appearance adds another data point to the archive. It is the cumulative record that makes analysis stable.