Mega Millions Results
On Tuesday night, April 16, 2024, the Mega Millions draw in Washington 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 Washington.
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 Washington 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 Washington 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
Large gaps remain descriptive, not forward-looking - they record variance across time. They help analysts track drift against expected cadence.
Data Notes
This report summarizes observed outcomes for Tuesday night, April 16, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
In summary: these reports are built to keep a calm, evidence-first record as a reliable record for analysts. The intent is clarity, not prediction.
Additional Context
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. 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
From a long-horizon view, this return adds a fresh entry to the record by one more data point. It is the cumulative record that makes analysis stable.