Keno Results
On Monday night, March 16, 2026, the Keno draw in Washington brought 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Winning numbers for 1 draw on March 16, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
March 16, 2026Keno report — Monday night, March 16, 2026: 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 shows a notable pattern
On Monday night, March 16, 2026, the Keno draw in Washington brought 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Overview
On Monday night, March 16, 2026, the Keno draw in Washington brought 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Combo Profile
The numbers in 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 cover a wide range (22 to 80) with no repeats.
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
Specifically: this analysis documents observed outcomes for Monday night, March 16, 2026 and anchors them against historical cadence. It is intended for context, not forecasting.
From Stepzero
At its core: this reporting is built to keep the long-horizon record steady as context for disciplined analysis. The intent is clarity, not prediction.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
The return of 22 23 24 27 29 32 41 47 53 54 55 57 59 68 69 70 72 78 79 80 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.