Treasure Hunt Results
On Thursday midday, July 24, 2025, the Treasure Hunt draw in Pennsylvania brought 01 03 04 10 24 back after days away. Given an expected cadence of 1 in 142,506 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 July 24, 2025 in Pennsylvania.
Draw times: Day.
Our take on the Treasure Hunt results
July 24, 2025Treasure Hunt report — Thursday midday, July 24, 2025: 01 03 04 10 24 shows a notable pattern
On Thursday midday, July 24, 2025, the Treasure Hunt draw in Pennsylvania brought 01 03 04 10 24 back after days away. Given an expected cadence of 1 in 142,506 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Thursday midday, July 24, 2025, the Treasure Hunt draw in Pennsylvania brought 01 03 04 10 24 back after days away. Given an expected cadence of 1 in 142,506 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
From a pattern view, this sequence uses 5 distinct numbers with no repeats present. Its range is 1 to 24 with a wide spread.
Why Droughts Matter
Prolonged absences are best treated as context, not directional - they record variance across time. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Thursday midday, July 24, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: these reports are intended to keep the record consistent over time for analysts and long-run tracking. The priority is accuracy and continuity.
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
The return of 01 03 04 10 24 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.