What exactly are we missing in prediction?

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We have experimented with frequency, highest/"hot" and lowest/"cold". Yet somehow most of the results come from the numbers between them on a distribution chart.

Computing can only take us so far if we are not asking the right questions... but what are those questions?

For maybe 10 draws I have tried bot the most frequent AND least frequent numbers on the PA pick 2 with no wins. (Least frequent were paper play, but still...) One number here and there.

Still at the flowchart stage of developing a program to look at draw to draw vectors... there is a free program called Dia that is like a CAD program for flowcharts, decision trees and entity relationship (ER) diagrams that has helped with planning a project before coding.

It is currently beyond me to sort out the reason why a near normal distribution like a pick n lottery picks from the "middle" (and not always the middle) on a daily basis... but I am trying to figure that piece of the puzzle out.

System play stays at the pick 2 until a win, which seems like it will never get to the next level.

1:100 should not be this difficult, right?

Entry #300

Comments

Avatar hypersoniq -
#1
Given that the follower algorithm shows the most popular follower, and that is approximately 11% of the followers, it would be reasonable to assume that in 100 plays, you might expect 1 hit... not on the game, but in the column.
That could be interpreted to be a need to play 1,000 games to get the columns to align... hardly seems worth the cost and time.

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