It’s where you “stack” the deck by putting the cards in high/low order when you return them to the dealer. The theory is that the high/low order causes the dealer to bust more often and it allows the player to predict the cards to some degree. May also assumes that a high/high and low/low order favors the player. The problem is that a) that assumption is not correct and b) it is not possible to “stack” enough cards to make the strategy successful using his technique. Here’s an old response I made to John (aka sys381) on his website:
--- sys381 <no_reply@y...> wrote:
>
> We know that:
> 1) Cards that are arranged in hi-lo order hurt the player.
Yes.
> 2) Cards that are arranged in hi-hi/lo-lo order help the player.
Well....maybe not. Although the logic makes sense I have not heard any evidence that high-high or low-low sequences are beneficial to the player, so I set out to investigate it for myself. After a quick run through the simulator, I'm afraid that I cannot offer any good words for the "high-high/low-low" clumping theory.
I started with a standard simulation of one basic strategy player at a 6-deck game (H17 DA2 DAS NS RS3 75%). At the end of each shoe I recorded the number of units won/lost and the amount of clumping in the pre-dealt shoe. It would seem that shoes with greater high-high/low-low clumping should produce higher win rates. Unfortunately, this was not the case. There seemed to be no relationship of higher win rates to higher degrees of clumping at all. A scatter diagram confirmed the random distributions.
I compared the results using the computational formula for the Pearson product-moment correlation coefficient. I chose to use the Pearson r test simply because the results were not curvilinear in nature and it was familiar enough to me that I felt comfortable using it. The test actually showed a very weak (-0.056) inverse relationship between the two elements. I believe this is due to the house edge, which cannot be overcome by a basic strategy player. However, this relationship was so weak that, looking at the coefficient of determination, we are only able to predict about 0.31% of the variance due to the clumping.
I ran the same shoes (identical compositions) through the simulator again with 2 players at the table and the results were the similar. I also noticed that the magnitude of clumping would only range from around 42% to 62% of the shoe. This means that large degrees of clumping will not occur naturally in a shoe, they would have to be created somehow by the player(s) and dealer. After analyzing the effects of player stacking in pitch games (the "Stacker Play") I am convinced that crucial amounts of clumping cannot be produced by the play of the cards alone.
In short, any evidence of high-high/low-low clumping in a shoe cannot give us any reliable or valuable indication of an advantage or disadvantage. However, I would be very interested to hear other methods of analyzing this situation. I imagine that there may be specific situations where this information may be valuable.
-Sonny-