Original Blog Entry: The challenges that remain

hypersoniq — Fri, 29 Aug 2025 14:31:26 GMT

When dealing with these games on a per column basis, there are probably 5 of the last 7 weeks where each pick DID show up in it's respective position within the next 7 draws, however Synchronization remains a problem, as they do not end up on the same draw.

Though I could see this to a some extent in every singe system I have ever worked with, it is the eternal plague of the pick N games. In order to win, they need to line up on the same draw. But since each draw position is as independent as the previous draws, I do not have a workaround... it is why each pick will always ever be nothing more than a best guess .

Also, follow up hits have proved to be challenging as well. 90% of every big idea I have tried to implement has hit once, then that was it. In order to implement the rest of the plan (pick 5 Quinto and Cash 4 Life only played on won money from the pick 3) there needs to be more than just 1 hit. I am on my last week (through Wednesday of next week) of free play.

Now, moving to using the inter quartile range to classify as hot, neutral or cold has lowered the frequency of all neutral observations from 85% of all windows to 70%, but it is more stable because the range is not as prone to influence by the outliers as is the standard deviation.

So, even though this system looks quite different from previous ones, it still suffers from the same synchronization issues, which contributes to the low hit frequency issue. The Cash 4 Life only needs to work once... the pick 3 was always meant to be the engine that propels the system forward... I have yet to solve that problem.

The addition of the chi square statistic and the P value was a success. What is of interest is the P value, because it goes from 0 to 1, the higher it is, the more representative your observed distribution is to the expected distribution, which is a discrete uniform distribution. A P value of 0.05 or less means the distribution does not match... something is not right with the results... in 2,400+ runs in the sliding back test, the lowest observed was 0.13 and the highest 0.97, so that tells me the PA lottery draws DO fit the expected uniform distribution. The variance will be left to the next script to figure out.... [ More ]