Mega Millions Results
On Tuesday night, January 6, 2026 in Washington, 09 39 47 58 68 reappeared after a -day wait for Washington. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on January 6, 2026 in Washington.
Draw times: Evening.
Our take on the Mega Millions results
January 6, 2026Mega Millions report — Tuesday night, January 6, 2026: 09 39 47 58 68 shows a notable pattern
On Tuesday night, January 6, 2026 in Washington, 09 39 47 58 68 reappeared after a -day wait for Washington. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Tuesday night, January 6, 2026 in Washington, 09 39 47 58 68 reappeared after a -day wait for Washington. 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 9 to 68 (wide spread).
Why Droughts Matter
Prolonged absences are best read as context, not predictive - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
Worth noting: this report captures the results logged for Tuesday night, January 6, 2026 and compares them to historical 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
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 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.
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 09 39 47 58 68 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.