Megabucks Results
On Wednesday night, October 4, 2023, the Megabucks draw in Massachusetts brought 06 12 13 28 37 40 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on October 4, 2023 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
October 4, 2023Megabucks report — Wednesday night, October 4, 2023: 06 12 13 28 37 40 shows a notable pattern
On Wednesday night, October 4, 2023, the Megabucks draw in Massachusetts brought 06 12 13 28 37 40 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Wednesday night, October 4, 2023, the Megabucks draw in Massachusetts brought 06 12 13 28 37 40 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number shape, the pattern contains 6 distinct numbers with no repeats in the pattern. The range from 6 to 40 is a 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
To clarify: this analysis records observed outcomes for Wednesday night, October 4, 2023 with reference to historical frequency baselines. The focus is documentation over prediction.
From Stepzero
The core idea: these reports are intended to keep the record consistent over time as a calm, evidence-first reference. The intent is clarity, not prediction.
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
The return of 06 12 13 28 37 40 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.