That's why a multiple multi-level random walks distribution will help us to restrict the variance at the lowest limits.
Whenever different random walks would elicit to bet the same side, we know our probability of success will get astounding values, a strong undeniable proof that shoes are not randomly produced or that a kind of detectable dependency works on most part of shoes dealt.
Technically it's what we call a "convergence of probability", a term coined several years ago by a roulette expert.
Theorically at any independent or very slight dependent proposition, any random walk (no matter how many r.w.'s we want to launch simultaneously) each spot we decide to bet will get the expected deviations considered at a kind of 50/50 game, say at a 0.5068/0.4932 p values.
Practically things go in a different way, as many spots MUST happen within a restricted range of hands dealt.
All depends on how we want to classify outcomes, and you know the worst tool we can utilize is by considering hands as B or P simple successions.
Actually casinos offer those st.u.p.id roads displayed on the screen as they know very well they are totally worthless.
Even considering those 5 different derived roads as 5 random walks, no way a convergence of probability may happen as they are taking into account EACH resolved hand (3 roads) or real BPT results (remaining 2 roads).
Remember, I'm here to disprove the real randomness of shoes dealt or the general undetectable slight dependency, it's not a coincidence that my plans get rid of many hands that tend to confuse the whole picture.
Say that after certain conditions are met, we could set up a simpler unb plan #3, one which could wager against the multiple formations of 3+ streaks on both sides.
It's not the final solution to beat this game, nonetheless it's a good start.
as.
Whenever different random walks would elicit to bet the same side, we know our probability of success will get astounding values, a strong undeniable proof that shoes are not randomly produced or that a kind of detectable dependency works on most part of shoes dealt.
Technically it's what we call a "convergence of probability", a term coined several years ago by a roulette expert.
Theorically at any independent or very slight dependent proposition, any random walk (no matter how many r.w.'s we want to launch simultaneously) each spot we decide to bet will get the expected deviations considered at a kind of 50/50 game, say at a 0.5068/0.4932 p values.
Practically things go in a different way, as many spots MUST happen within a restricted range of hands dealt.
All depends on how we want to classify outcomes, and you know the worst tool we can utilize is by considering hands as B or P simple successions.
Actually casinos offer those st.u.p.id roads displayed on the screen as they know very well they are totally worthless.
Even considering those 5 different derived roads as 5 random walks, no way a convergence of probability may happen as they are taking into account EACH resolved hand (3 roads) or real BPT results (remaining 2 roads).
Remember, I'm here to disprove the real randomness of shoes dealt or the general undetectable slight dependency, it's not a coincidence that my plans get rid of many hands that tend to confuse the whole picture.
Say that after certain conditions are met, we could set up a simpler unb plan #3, one which could wager against the multiple formations of 3+ streaks on both sides.
It's not the final solution to beat this game, nonetheless it's a good start.
as.