Keno Results
On Thursday night, January 22, 2026, the Keno draw in Washington produced a notable return: 01 04 08 11 13 15 18 23 26 40 46 48 51 59 61 64 65 67 76 77 after days of absence. Against an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on January 22, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
January 22, 2026Keno report — Thursday night, January 22, 2026: 01 04 08 11 13 15 18 23 26 40 46 48 51 59 61 64 65 67 76 77 shows a notable pattern
On Thursday night, January 22, 2026, the Keno draw in Washington produced a notable return: 01 04 08 11 13 15 18 23 26 40 46 48 51 59 61 64 65 67 76 77 after days of absence. Against an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday night, January 22, 2026, the Keno draw in Washington produced a notable return: 01 04 08 11 13 15 18 23 26 40 46 48 51 59 61 64 65 67 76 77 after days of absence. Against an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 04 08 11 13 15 18 23 26 40 46 48 51 59 61 64 65 67 76 77 uses 20 distinct numbers and a wide spread from 1 to 77.
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.