Hello everyone 👋,
I wanted to share a concept I’ve been developing for a while for Pick 5 and Pick 6 games in general.
It’s an approach I call pyramidal reduction, and it doesn’t work like traditional reductions or standard filters.
What is it about?
Instead of eliminating numbers using fixed filters or a single-pass reduction, my algorithm performs an exponential, multi-layer reduction, where each stage narrows the set while preserving:
The idea is that the initial set is gradually “refined,” almost like an inverted pyramid: it starts broad, and each layer reduces it further without destroying as many useful patterns as aggressive reductions usually do.
Advantages I’m observing:
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It reduces the pool significantly while preserving more statistical structure.
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It doesn’t rely on hot/cold numbers.
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It works for any Pick 5/6 game.
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The final set feels more stable and less random than when using simple linear filters.
I’m currently implementing the entire process inside an application I’m building, which helps me automate the pyramidal reduction and test different variations of the algorithm more efficiently.
I’d like to know:
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Has anyone experimented with multi-layer or exponential reduction methods?
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Which patterns do you consider essential to preserve when reducing large number groups?
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Does anyone here use methods that don’t depend on typical stats like hot/cold or repeats?
If there’s interest, I can share a practical example showing how a large initial set goes through the pyramid stages until it reaches the final reduced group.
Thanks for reading, and I’d be glad to hear your thoughts.