Thanks for your replies!!
Even if we use some 'limited' random walks that itlr will define better the issue, and this thing can be accomplished because an 'average card distribution' exists, many "way beyond than average" shoes pose a real threat at our plan when too deviated negative successions come out.
Of course shoes not fitting for long to the average category could also be strongly positive for our plan, but they are (as the negative counterpart) relatively rare to happen.
In some way we should find two out of three situations to win: average distribution and strong positive distribution and putting them in (slight) asymmetrically and proportional relationship with strong negative distribution that will wipe out our profits or, worse, our bankroll.
We've found out that a kind of approximation algorithm could be the best way to deal with bac productions as results are not following a perfect 50/50 distribution and even if they seem to be, they tend to distribute asymmetrically shaped in rhythm (see Nickerson, Konold, etc studies).
Quite interestingly the algorithm will suggest us (whether proper situations are encountered) to bet B and P by an equal frequency, putting at the same level the general math propensity with the actual distribution.
More later
as.
Even if we use some 'limited' random walks that itlr will define better the issue, and this thing can be accomplished because an 'average card distribution' exists, many "way beyond than average" shoes pose a real threat at our plan when too deviated negative successions come out.
Of course shoes not fitting for long to the average category could also be strongly positive for our plan, but they are (as the negative counterpart) relatively rare to happen.
In some way we should find two out of three situations to win: average distribution and strong positive distribution and putting them in (slight) asymmetrically and proportional relationship with strong negative distribution that will wipe out our profits or, worse, our bankroll.
We've found out that a kind of approximation algorithm could be the best way to deal with bac productions as results are not following a perfect 50/50 distribution and even if they seem to be, they tend to distribute asymmetrically shaped in rhythm (see Nickerson, Konold, etc studies).
Quite interestingly the algorithm will suggest us (whether proper situations are encountered) to bet B and P by an equal frequency, putting at the same level the general math propensity with the actual distribution.
More later
as.