Mega Millions Results
On Friday night, May 31, 2024, the Mega Millions draw in Washington produced a notable return: 04 11 23 33 49 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 31, 2024 in Washington.
Draw times: Evening.
Our take on the Mega Millions results
May 31, 2024Mega Millions report — Friday night, May 31, 2024: 04 11 23 33 49 shows a notable pattern
On Friday night, May 31, 2024, the Mega Millions draw in Washington produced a notable return: 04 11 23 33 49 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, May 31, 2024, the Mega Millions draw in Washington produced a notable return: 04 11 23 33 49 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
In terms of number structure, the pattern has 5 distinct numbers with no repeats in the numbers. Its range is 4 to 49 with a wide spread.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
Over the broader record, this appearance adds another archive entry to the record. Reliability is a function of the growing record.