Mega Millions Results
On Tuesday night, May 2, 2023, the Mega Millions draw in Delaware produced a notable return: 03 15 16 32 41 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 2, 2023 in Delaware.
Draw times: Evening.
Our take on the Mega Millions results
May 2, 2023Mega Millions report — Tuesday night, May 2, 2023: 03 15 16 32 41 shows a notable pattern
On Tuesday night, May 2, 2023, the Mega Millions draw in Delaware produced a notable return: 03 15 16 32 41 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, May 2, 2023, the Mega Millions draw in Delaware produced a notable return: 03 15 16 32 41 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 03 15 16 32 41 uses 5 distinct numbers and a wide spread from 3 to 41.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
Specifically: this analysis documents outcomes logged on Tuesday night, May 2, 2023 with comparison to long-run frequency baselines. The goal is context, not 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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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
Across the long-horizon record, this return extends the historical ledger to the historical dataset. Stability comes from the growing record, not any one draw.