Mega Millions Results
For the Mega Millions draw on Tuesday night, November 15, 2022, 06 19 28 46 61 came back following a -day absence for Wisconsin. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on November 15, 2022 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
November 15, 2022Mega Millions report — Tuesday night, November 15, 2022: 06 19 28 46 61 shows a notable pattern
For the Mega Millions draw on Tuesday night, November 15, 2022, 06 19 28 46 61 came back following a -day absence for Wisconsin. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Overview
For the Mega Millions draw on Tuesday night, November 15, 2022, 06 19 28 46 61 came back following a -day absence for Wisconsin. With an expected cadence of 1 in 12,103,014 draws, the gap sits well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 6 to 61 (wide spread).
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
In detail: this report records results recorded for Tuesday night, November 15, 2022 with comparison to long-run frequency baselines. The intent is documentation, not forecasting.
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.
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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
The return of 06 19 28 46 61 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.