Mega Millions Results
On Tuesday night, March 26, 2024, the Mega Millions draw in Delaware brought 07 11 22 29 38 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on March 26, 2024 in Delaware.
Draw times: Evening.
Our take on the Mega Millions results
March 26, 2024Mega Millions report — Tuesday night, March 26, 2024: 07 11 22 29 38 shows a notable pattern
On Tuesday night, March 26, 2024, the Mega Millions draw in Delaware brought 07 11 22 29 38 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, March 26, 2024, the Mega Millions draw in Delaware brought 07 11 22 29 38 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 7 to 38 (wide spread).
Why Droughts Matter
Deep gaps are best treated as context, not forward-looking - they document what has already happened. They clarify how far outcomes drift from baseline cadence.
Data Notes
Specifically: this report documents outcomes logged on Tuesday night, March 26, 2024 with reference to historical frequency baselines. The goal is context, not prediction.
From Stepzero
Importantly: this reporting is designed to document distribution behavior over time as a reliable record for analysts. The intent is clarity, not prediction.
Additional Context
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. 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
The return of 07 11 22 29 38 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.