Mega Millions Results
On Friday night, March 29, 2024, the Mega Millions draw in Washington produced a notable return: 11 30 33 38 60 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 March 29, 2024 in Washington.
Draw times: Evening.
Our take on the Mega Millions results
March 29, 2024Mega Millions report — Friday night, March 29, 2024: 11 30 33 38 60 shows a notable pattern
On Friday night, March 29, 2024, the Mega Millions draw in Washington produced a notable return: 11 30 33 38 60 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, March 29, 2024, the Mega Millions draw in Washington produced a notable return: 11 30 33 38 60 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, this result has 5 distinct numbers with no repeats present. The numbers cover 11 to 60 with a wide range.
Why Droughts Matter
Large gaps remain descriptive, not forward-looking - they show how distribution tails behave. They help analysts track drift against expected cadence.
Data Notes
The approach: this report records results recorded for Friday night, March 29, 2024 with benchmarking against long-run cadence. This is descriptive, not predictive.
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
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. 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
With its return, 11 30 33 38 60 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.