Mega Millions Results
For the Mega Millions draw on Friday night, May 1, 2026, 16 21 27 41 61 landed again after a -day wait in District of Columbia. The span is long enough to register as a low-frequency outcome.
Winning numbers for 1 draw on May 1, 2026 in District of Columbia.
Draw times: Evening.
Our take on the Mega Millions results
May 1, 2026Mega Millions report — Friday night, May 1, 2026: 16 21 27 41 61 shows a notable pattern
For the Mega Millions draw on Friday night, May 1, 2026, 16 21 27 41 61 landed again after a -day wait in District of Columbia. The span is long enough to register as a low-frequency outcome.
Overview
For the Mega Millions draw on Friday night, May 1, 2026, 16 21 27 41 61 landed again after a -day wait in District of Columbia. The span is long enough to register as a low-frequency outcome.
Combo Profile
The digits in 16 21 27 41 61 cover a wide range (16 to 61) with no repeats.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Friday night, May 1, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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.
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
Across the long-horizon record, this return adds another data point to the cumulative record. Long-horizon stability comes from accumulation.