As already sayed in my pages, if we'd run infinite times the same "quality factor" applied to certain patterns, we'll be able to ascertain the different but way controllable CFS getting values distant to a common independent binomial proposition.
Therefore there's nothing to guess or hope for, just landing our bets when average "ranges" are proven to be more likely to show up.
That's a completely different story than betting B because is math advantaged (for example) as it involves a deep study about how 312 or 416 cards can be arranged in form of patterns that in turn influence the CFS.
So in many situations the next hand or two next hands are featuring a diverse 0.50 probability technically involving an accelerating or slowing CFS.
When we consider pattern of the same nature being followed or not by the same pattern, we'll get a better idea about how much, on average, the CFS works.
This translates into the asymmetrical/symmetrical nature of the patterns, being the purest and most detectable form of the CFS propensity.
Asymmetrical patterns prosper about different quantities happening at an equal RESTRICTED number of propositions; once those restricted values are surpassed, we'll wait for a new different pattern to show up. And so on.
Take for grant that in the vast majority of the times symmetrical patterns coming out consecutively for long are a kind of "coincidental occurrence" or, worse, that the production isn't so random than what we think.
RNG instructed distributions (shuffling machines, for example) are not random by any means.
At least they are not fitting the asym/sym requisites we've assessed by collecting data from thousands and thousands of real shoes dealt by diverse than shuffling machines productions (anybody knows which brand we're talking about...lol).
Just to make an example, the ASSSSASSSSS sequence can only happen virtually at real random shoes and the same about the more appealing AAAAAAAAAAAAAAAAAAAAAAAAA sequence. Both successions were registered at SM shoes after a couple of hundreds of shoes played, but we haven't registered one at our live shoes sample.
RNG production seems to love the "extremes", we'll dare to say that it loves to fool the customers.
We are deadly sure that shuffling machines instructed by a RNG software do not produce random distributions (according to several math and statistical experts), so stay away from them even though some ploys can be adopted to fk them.
Finally, the first and second attempt made toward the asymmetry must rely upon an average A/S ranges, so if you don't see a single S event or at least an AAA cluster per every shoe dealt, start to consider that sequence as a total bighorn.s.h..it.
as.
Therefore there's nothing to guess or hope for, just landing our bets when average "ranges" are proven to be more likely to show up.
That's a completely different story than betting B because is math advantaged (for example) as it involves a deep study about how 312 or 416 cards can be arranged in form of patterns that in turn influence the CFS.
So in many situations the next hand or two next hands are featuring a diverse 0.50 probability technically involving an accelerating or slowing CFS.
When we consider pattern of the same nature being followed or not by the same pattern, we'll get a better idea about how much, on average, the CFS works.
This translates into the asymmetrical/symmetrical nature of the patterns, being the purest and most detectable form of the CFS propensity.
Asymmetrical patterns prosper about different quantities happening at an equal RESTRICTED number of propositions; once those restricted values are surpassed, we'll wait for a new different pattern to show up. And so on.
Take for grant that in the vast majority of the times symmetrical patterns coming out consecutively for long are a kind of "coincidental occurrence" or, worse, that the production isn't so random than what we think.
RNG instructed distributions (shuffling machines, for example) are not random by any means.
At least they are not fitting the asym/sym requisites we've assessed by collecting data from thousands and thousands of real shoes dealt by diverse than shuffling machines productions (anybody knows which brand we're talking about...lol).
Just to make an example, the ASSSSASSSSS sequence can only happen virtually at real random shoes and the same about the more appealing AAAAAAAAAAAAAAAAAAAAAAAAA sequence. Both successions were registered at SM shoes after a couple of hundreds of shoes played, but we haven't registered one at our live shoes sample.
RNG production seems to love the "extremes", we'll dare to say that it loves to fool the customers.
We are deadly sure that shuffling machines instructed by a RNG software do not produce random distributions (according to several math and statistical experts), so stay away from them even though some ploys can be adopted to fk them.
Finally, the first and second attempt made toward the asymmetry must rely upon an average A/S ranges, so if you don't see a single S event or at least an AAA cluster per every shoe dealt, start to consider that sequence as a total bighorn.s.h..it.
as.