Mega Millions Results
On Tuesday night, July 16, 2024, for Maryland's Mega Millions draw, 05 35 42 58 66 reappeared following a -day absence in Maryland results. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on July 16, 2024 in Maryland.
Draw times: Evening.
Our take on the Mega Millions results
July 16, 2024Mega Millions report — Tuesday night, July 16, 2024: 05 35 42 58 66 shows a notable pattern
On Tuesday night, July 16, 2024, for Maryland's Mega Millions draw, 05 35 42 58 66 reappeared following a -day absence in Maryland results. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Overview
On Tuesday night, July 16, 2024, for Maryland's Mega Millions draw, 05 35 42 58 66 reappeared following a -day absence in Maryland results. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 5 to 66 (wide spread).
Why Droughts Matter
Prolonged absences are best treated as context, not forward-looking - they track where outcomes drift from baseline spacing. Their value is in long-horizon tracking.
Data Notes
To clarify: this report records outcomes documented for Tuesday night, July 16, 2024 with comparison to long-run frequency baselines. The focus is documentation over prediction.
From Stepzero
The core idea: this reporting is designed to document distribution behavior over time as a reference point for continuity. The aim is a trustworthy record.
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.
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.
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 adds another archive entry to the archive. Long-horizon stability comes from accumulation.