All or Nothing Results
On Thursday, March 12, 2026 in Texas, 01 02 04 05 06 11 12 14 15 20 22 23 showed up after a -day drought in the Texas record. The interval is wide enough to mark a long-gap outcome.
Winning numbers for 2 draws on March 12, 2026 in Texas.
Draw times: D, Evening.
Our take on the All or Nothing results
March 12, 2026All or Nothing report — Thursday, March 12, 2026: 01 02 04 05 06 11 12 14 15 20 22 23 shows a notable pattern
On Thursday, March 12, 2026 in Texas, 01 02 04 05 06 11 12 14 15 20 22 23 showed up after a -day drought in the Texas record. The interval is wide enough to mark a long-gap outcome.
Overview
On Thursday, March 12, 2026 in Texas, 01 02 04 05 06 11 12 14 15 20 22 23 showed up after a -day drought in the Texas record. The interval is wide enough to mark a long-gap outcome.
Combo Profile
As a number pattern, 01 02 04 05 06 11 12 14 15 20 22 23 uses 12 distinct numbers and a wide spread from 1 to 23.
Why Droughts Matter
Extended absences are context, not a cue - they show where spacing departs from typical cadence. They clarify how far outcomes drift from baseline cadence.
Data Notes
To clarify: this report captures observed outcomes for Thursday, March 12, 2026 with benchmarking against long-run cadence. It is context-focused, 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
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
The return of 01 02 04 05 06 11 12 14 15 20 22 23 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.