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My take on math and ball lottery
What I got from that video was a way to find the factor (in that case 120) relating the combinations to the permutations.
The next video on the youtube feed was a really good 25 minute dive into the origins and apllications of Markov chains, from predicting neutron behavior in the first atomic bomb to the google search algorithm...
Dec 19, 2025, 9:46 am - hypersoniq - Mathematics Forum
markov pick3
To create learning curves for Pick 3 lottery series, the process involves measuring the performance of a predictive model as the amount of training data used in time series models increases.
Steps to create learning curves for Pick 3
1. Data Preparation:
o Gather the Pick 3 lottery history.
o Divide it into progressively increasing training and test sets (example: use the first 100 draws to train, then 200, 300, etc.).
o For each set, extract the features and the target (lottery r
Nov 21, 2025, 7:06 am - dr san - Lottery Discussion Forum
Markov chain generator
That does sound like an interesting Python project. Aside from input draws and output, there is the possibility of capturing the internal list of probabilities of state transitions in a nested dictionary data structure. Similar to how Markov chain generators work in natural language processing (like auto complete in a browser).
Being able to display what it learned can help understand (and adjust) the inner variables for better results.
Good luck!
Sep 26, 2025, 9:20 am - hypersoniq - Lottery Discussion Forum
Michigan: 8/1 - 8/31/2025
Markov top 15
1 131 2 171 3 431 4 134 5 137 6 136 7 138 8 471 9 174 10 177 11 931 12 434 13 437 14 151 15 176
Thirty more, still above the median joint-probability line
178 631 731 436 438 971 474 477 934 937 461 467 468 498 497 178 361 367 368 398 397 492 496 498 998 997 994 993 991 989
Aug 2, 2025, 8:49 am - Duckhunter - Pick 3 Forum
Neural Net Lottery Picker
I am working with the concept of Markov Chains when it comes to the transition probabilities from one draw to the next using the historical collection of followers for each digit in each position. So far I have noticed no advantage to using such a system because the independent nature of each draw is failing to reject the hypothesis that the underlying history data is anything but a discrete uniform distribution of independent draws.
It does not deter my attempts and realize what I need is a
Feb 12, 2026, 11:06 am - hypersoniq - Mathematics Forum
Looking Back - Looking Forward
Any new plans or new strategies going into 2026?
Moving the two python scripts (classifying hot/cold/neutral and first order Markov chain of followers) into a fully functional GUI for windows and android.
Any lottery lessons learnt in 2025?
System development is more fun than playing
Biggest single win in 2025?
$500 on pick 3, once on each system.
Dec 31, 2025, 11:59 pm - hypersoniq - Lottery Discussion Forum
Lottery Analysis Tools .
It is not too much of a challenge to generate all sorts of statistics, the trick is interpreting them.
Perhaps the next step is to let the computer figure out what stats are important.
I think that a Markov Decision Process, based on rewards and constraints, like a form of reinforcement learning might be a path forward. Create an AI agent that will traverse draw history, feeding each draw result with every feature (high/low, hot/cold, odd/even, frequency, etc) and let IT decide which sta
Sep 7, 2025, 1:08 pm - hypersoniq - Lottery Discussion Forum
Does Lottery Software work?
The reason lottery software does not work is because the draws are memoryless . We can analyze past draws ad nauseum, but whatever was found does not carry into the future draws. Even a Markov Chain generator applies probability to the future possible states... why this fails in the lottery is that it is an independent event with no dependency on past or future events. None.
I can make my own losing number picking systems for free (I do it all the time), I would never pay someone else to cre
Oct 3, 2025, 10:07 am - hypersoniq - Lottery Discussion Forum
