Mega Millions Results
On Friday night, February 23, 2024, the Mega Millions draw in Massachusetts marked a notable return: 04 06 40 41 60 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on February 23, 2024 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
February 23, 2024Mega Millions report — Friday night, February 23, 2024: 04 06 40 41 60 shows a notable pattern
On Friday night, February 23, 2024, the Mega Millions draw in Massachusetts marked a notable return: 04 06 40 41 60 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Friday night, February 23, 2024, the Mega Millions draw in Massachusetts marked a notable return: 04 06 40 41 60 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
Structurally, the outcome holds 5 distinct numbers while showing no repeats. The numbers run from 4 to 60 with a wide range.
Why Droughts Matter
Extended gaps are context markers, not prescriptive - they show how distribution tails behave. They clarify how far outcomes drift from baseline cadence.
Data Notes
Specifically: this report captures observed outcomes for Friday night, February 23, 2024 and benchmarks them against historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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
Over the long run, this entry adds another data point to the long-horizon record. It is the cumulative record that makes analysis stable.