As professor emeritus of statistics at University of Cambridge D. Spiegelhalter stated in his book, random is often "clumpy", so lacking of "regularity".
Hence whenever things seem to be "too regular" for long (multiple shoes), we should raise our suspicions that the production isn't random.
Obviously we might think that a kind of "regular model" could be easily beaten but it's not the case at baccarat.
A coin flip study found that per every 20 tosses, there's a 78% probability of getting at least a 4 streak.
And the probability of getting streaks not superior than two (a double streak) is just 2%.
Now I'm figuring out what you are thinking about the last finding: "Hey, at baccarat there are a lot of sequences producing singles/doubles for many hands, we can't believe of that 2% percentage".
And actually bac hands are not coin flip successions.
Remember that among all patterns, at baccarat doubles are the most likely occurence, then there's always the "random" factor to be examined at both coin flip and bac productions.
Then "clumpy" could be interpreted as the dynamic propensity of getting things either more slight concentrated than diluted by an exact or near expected probability to appear.
And at baccarat doubles (for their high probability to appear) could be easily come out clustered (that is by a back-to-back fashion).
Therefore symmetry and asymmetry could be viable tools not to simply ascertain what's more probable to come out next, but to make an estimate about the effective randomness of the production.
As sayed numerous times here, paradoxically we are in better shape to guess "more due situations" when the production is supposed to be either perfectly random or affected by a huge unrandom bias then in the other miriad of intermediate possibilities.
Moreover at baccarat random clumpiness gets an average probability to appear in terms of quantity and frequency and when such values tend to be disregarded for long we can safely conclude that we're dealing with pseudorandomness othan with supposedly "normal fluctuations" dictated by a pure randomness.
More later
as.
Hence whenever things seem to be "too regular" for long (multiple shoes), we should raise our suspicions that the production isn't random.
Obviously we might think that a kind of "regular model" could be easily beaten but it's not the case at baccarat.
A coin flip study found that per every 20 tosses, there's a 78% probability of getting at least a 4 streak.
And the probability of getting streaks not superior than two (a double streak) is just 2%.
Now I'm figuring out what you are thinking about the last finding: "Hey, at baccarat there are a lot of sequences producing singles/doubles for many hands, we can't believe of that 2% percentage".
And actually bac hands are not coin flip successions.
Remember that among all patterns, at baccarat doubles are the most likely occurence, then there's always the "random" factor to be examined at both coin flip and bac productions.
Then "clumpy" could be interpreted as the dynamic propensity of getting things either more slight concentrated than diluted by an exact or near expected probability to appear.
And at baccarat doubles (for their high probability to appear) could be easily come out clustered (that is by a back-to-back fashion).
Therefore symmetry and asymmetry could be viable tools not to simply ascertain what's more probable to come out next, but to make an estimate about the effective randomness of the production.
As sayed numerous times here, paradoxically we are in better shape to guess "more due situations" when the production is supposed to be either perfectly random or affected by a huge unrandom bias then in the other miriad of intermediate possibilities.
Moreover at baccarat random clumpiness gets an average probability to appear in terms of quantity and frequency and when such values tend to be disregarded for long we can safely conclude that we're dealing with pseudorandomness othan with supposedly "normal fluctuations" dictated by a pure randomness.
More later
as.