Mega Millions Results
On Tuesday night, April 21, 2026, for Texas's Mega Millions draw, 01 36 43 56 58 came back after a -day gap for Texas. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on April 21, 2026 in Texas.
Draw times: Evening.
Our take on the Mega Millions results
April 21, 2026Mega Millions report — Tuesday night, April 21, 2026: 01 36 43 56 58 shows a notable pattern
On Tuesday night, April 21, 2026, for Texas's Mega Millions draw, 01 36 43 56 58 came back after a -day gap for Texas. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Tuesday night, April 21, 2026, for Texas's Mega Millions draw, 01 36 43 56 58 came back after a -day gap for Texas. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 1 to 58 (wide spread).
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
Worth noting: this report documents the recorded draws for Tuesday night, April 21, 2026 and anchors them against historical cadence. This is documentation, not a forecast.
From Stepzero
Importantly: these reports are built to sustain continuity in the archive as a record, not a recommendation. It is meant to inform, not forecast.
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.
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
The return of 01 36 43 56 58 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.