Pick 6 Results
On Monday midday, November 14, 2022, the Pick 6 draw in New Jersey marked a notable return: 08 13 23 24 28 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on November 14, 2022 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
November 14, 2022Pick 6 report — Monday midday, November 14, 2022: 08 13 23 24 28 41 shows a notable pattern
On Monday midday, November 14, 2022, the Pick 6 draw in New Jersey marked a notable return: 08 13 23 24 28 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday midday, November 14, 2022, the Pick 6 draw in New Jersey marked a notable return: 08 13 23 24 28 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 08 13 23 24 28 41 uses 6 distinct numbers and a wide spread from 8 to 41.
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
This report summarizes observed outcomes for Monday midday, November 14, 2022 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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.
Adding to the Long-Term Record
The return of 08 13 23 24 28 41 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.