Mega Millions Results
On Friday night, May 1, 2026, during the Mega Millions draw in Vermont, 16 21 27 41 61 showed up after days without an appearance in Vermont. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on May 1, 2026 in Vermont.
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
On Friday night, May 1, 2026, during the Mega Millions draw in Vermont, 16 21 27 41 61 showed up after days without an appearance in Vermont. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Overview
On Friday night, May 1, 2026, during the Mega Millions draw in Vermont, 16 21 27 41 61 showed up after days without an appearance in Vermont. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Combo Profile
From a number-profile view, 16 21 27 41 61 holds 5 distinct numbers while showing no repeats. The range from 16 to 61 is a wide spread.
Why Droughts Matter
Extended absences function as context, not a cue - they show how distribution tails behave. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Friday night, May 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this reporting is built to document distribution behavior over time as a calm, evidence-first reference. The aim is a trustworthy record.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 16 21 27 41 61 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.