Megabucks Results
On Wednesday night, November 6, 2024, the Megabucks draw in Massachusetts produced a notable return: 01 15 19 22 36 40 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on November 6, 2024 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
November 6, 2024Megabucks report — Wednesday night, November 6, 2024: 01 15 19 22 36 40 shows a notable pattern
On Wednesday night, November 6, 2024, the Megabucks draw in Massachusetts produced a notable return: 01 15 19 22 36 40 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Wednesday night, November 6, 2024, the Megabucks draw in Massachusetts produced a notable return: 01 15 19 22 36 40 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 15 19 22 36 40 uses 6 distinct numbers and a wide spread from 1 to 40.
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
This report summarizes observed outcomes for Wednesday night, November 6, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this reporting is built to maintain continuity across the record as a reference point for continuity. The aim is context, not a call to action.
Additional Context
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 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
In the broader record, this draw adds a new point to the dataset by one more data point. Stability comes from the growing record, not any one draw.