Mega Millions Results
On Tuesday night, April 16, 2024, the Mega Millions draw in Wisconsin marked a notable return: 21 26 36 44 59 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on April 16, 2024 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
April 16, 2024Mega Millions report — Tuesday night, April 16, 2024: 21 26 36 44 59 shows a notable pattern
On Tuesday night, April 16, 2024, the Mega Millions draw in Wisconsin marked a notable return: 21 26 36 44 59 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Tuesday night, April 16, 2024, the Mega Millions draw in Wisconsin marked a notable return: 21 26 36 44 59 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 21 26 36 44 59 cover a wide range (21 to 59) with no repeats.
Why Droughts Matter
Long gaps are descriptive, not directional - they document what has already happened. They clarify how far outcomes drift from baseline cadence.
Data Notes
This analysis uses the draw results recorded for Tuesday night, April 16, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The takeaway: this series is designed to maintain continuity across the record as a reference point for continuity. The aim is context, not a call to action.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture. 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 21 26 36 44 59 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.