Tri-State Megabucks Results
On Monday night, March 16, 2026, 01 03 11 17 21 reappeared following a -day gap in Vermont. The gap sits outside typical spacing even without cadence benchmarks.
Winning numbers for 1 draw on March 16, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
March 16, 2026Tri-State Megabucks report — Monday night, March 16, 2026: 01 03 11 17 21 shows a notable pattern
On Monday night, March 16, 2026, 01 03 11 17 21 reappeared following a -day gap in Vermont. The gap sits outside typical spacing even without cadence benchmarks.
Overview
On Monday night, March 16, 2026, 01 03 11 17 21 reappeared following a -day gap in Vermont. The gap sits outside typical spacing even without cadence benchmarks.
Combo Profile
As a number shape, the pattern has 5 distinct numbers with no repeats in the numbers. The numbers run from 1 to 21 with a wide range.
Why Droughts Matter
Large gaps are context markers, not a signal - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
As documented: this analysis summarizes outcomes documented for Monday night, March 16, 2026 with reference to historical frequency baselines. The goal is context, not prediction.
From Stepzero
Importantly: this reporting is designed to preserve a stable long-horizon record as a calm, evidence-first reference. The aim is context, not a call to action.
Additional Context
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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
Over the long run, this draw extends the historical ledger to the historical dataset. Reliability is a function of the growing record.