Mega Millions Results
On Tuesday night, November 26, 2024, the Mega Millions draw in Maryland brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 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 November 26, 2024 in Maryland.
Draw times: Evening.
Our take on the Mega Millions results
November 26, 2024Mega Millions report — Tuesday night, November 26, 2024: 05 22 24 39 42 shows a notable pattern
On Tuesday night, November 26, 2024, the Mega Millions draw in Maryland brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, November 26, 2024, the Mega Millions draw in Maryland brought 05 22 24 39 42 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 05 22 24 39 42 cover a wide range (5 to 42) with no repeats.
Why Droughts Matter
Deep gaps function as context, not predictive - they mark how variance accumulates over long samples. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Tuesday night, November 26, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this reporting is designed to sustain continuity in the archive for analysts and long-run tracking. The aim is context, not a call to action.
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. 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 05 22 24 39 42 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.