All or Nothing Results
On Tuesday midday, May 26, 2026, during the All or Nothing draw in Wisconsin, 01 06 08 09 11 12 14 16 17 20 21 showed up again after a -day gap in Wisconsin. With an expected cadence of 1 in 705,432 draws, the gap sits well beyond typical spacing.
Winning numbers for 2 draws on May 26, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
May 26, 2026All or Nothing report — Tuesday midday, May 26, 2026: 01 06 08 09 11 12 14 16 17 20 21 shows a notable pattern
On Tuesday midday, May 26, 2026, during the All or Nothing draw in Wisconsin, 01 06 08 09 11 12 14 16 17 20 21 showed up again after a -day gap in Wisconsin. With an expected cadence of 1 in 705,432 draws, the gap sits well beyond typical spacing.
Overview
On Tuesday midday, May 26, 2026, during the All or Nothing draw in Wisconsin, 01 06 08 09 11 12 14 16 17 20 21 showed up again after a -day gap in Wisconsin. With an expected cadence of 1 in 705,432 draws, the gap sits well beyond typical spacing.
Combo Profile
From a pattern view, this result has 11 distinct numbers with no repeats in the pattern. Its range is 1 to 21 with a wide spread.
Why Droughts Matter
Prolonged absences function as context, not a forecast - they document what has already happened. They make variance visible across extended windows.
Data Notes
To clarify: this report documents results recorded for Tuesday midday, May 26, 2026 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
From Stepzero
To be clear: these reports are intended to keep the record consistent over time as a reliable record for analysts. The focus is long-horizon context.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
The return of 01 06 08 09 11 12 14 16 17 20 21 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.