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Let's suppose each time you see a gap of 4 empty cells you bet the next hand on the side where the gap occured.
B,,,,? <- we bet B
Did you know the distribution of B,,,,B versus B,,,,,etc. is 50/50 ?
That makes quite a lot of 50/50 or binary propositions if we consider these:
B,B versus B,,etc.
B,,B versus B,,,etc.
B,,,B versus B,,,,etc.
B,,,,B versus B,,,,,etc.
Do you think a simple Alembert could manage to get +1 every time you play if you consider a stream of hands as multiple gap sizes to handle?
Do you know that in every shoe one or two or more gap sizes will dominate the scene even if the side in question is in minority. Ex.
BpppppBppppBpppppppBppppB
2 gaps of at least 5, 2 gaps of exactly 4.
What does it mean ? A player who would have played a simple Alembert on gaps of exactly 4 would have won 2 units see B in bold.
So instead of playing a straight Alembert think about using it on gaps of exactly x empty space(s). Or use the gap which is leading or dominating
Lucky i just don't know if we are talking about the same thing as i wanted to stress that many should snap out of this mentality where each time an idea is presented it should be blindly applied to the bitter end.
Here is what i wrote in another section:
Finding a mechanical system that would win long term is futile. You need not a system but a process you could apply each time you play that would improve your odds of finding what works in the immediate. The solution or system that might work now may not be a long term winner but who cares, we want to win NOW.
@Lucky read that passage once again: "use the gap(s) which is/are leading or dominating" In other words, in the short period of time you are going to play try to select the best horses. With Baccarat, you should focus your effort on the Bank side. With roulette, it does not matter.
Okay i understand that so i will let you do what you do and i delete it.
Cheers LS
This reminds me of Louis G. Holloway's book "Full-Time Gambler". In it, he says:
"On one hundred thousand authentic roulette numbers I made a "gap book". Each number was tabulated in terms of the gap figure between hits. Then each split, each street, each four-block, each six-block, each dozen, each column, and each even money play was "gapped". This greatly condensed the big run of numbers and put the whole thing into a new perspective or dimension. Through this kind of work, one is able to learn the true value of patterns and to avoid being tricked by coincidence.
By plotting graphs from the totals of each approach, we can determine the peak of each cycle - when to get in and when to get out. Ridiculous, you say? They said that about the atomic bomb, television, and the airplane too. I am not saying we know exactly when to pick up a number of group of numbers. What I am saying is that over the long-range period we can and do turn the percentage and improve cold selecting."
Now, this may be bollocks, but he had some very shrewd advice on horse-race betting.
This is in line with my philosophy about games of chance. Very good passage. Gambling is not an exact science. It's not for people who like clear black and white figures. It is for the artist who has a sense of stats and who can deal with fuzzy things.
Just out of curiosity, if we track all 3 even chances at roulette and find the leading gap after say 36 spins or less and play the same gap on all chances using the Alembert prog i wonder how high our bets would get before making at least +1 each time we play. Of course, we should find a way to normalise gaps of 1 versus gaps of 2 and gaps of 2 versus gaps of 3 etc.
Normalising could be easy as you just need to observe 2 gaps of 1 for every gap of 2 and two gaps of 2 for every gap of 3 etc.
A common requirement for parametric tests is that the population of scores from which the sample observations came should be normally distributed. While many variables are close enough to a normal distribution and many of the tests that we will encounter are quite robust to moderate departures, occasionally there is a need to transform a variable so that the requirement of normality is better met. Essentially this means transforming the distribution such that the symmetry of the distribution is made to resemble a normal distribution more closely.
Calling it a gap doesn't make it a gap. P or B occupies the 'gap', ignoring that gives you no advantage. We only see B because we see its opposite, P. B makes P and vice versa. They're connected.
Spike you have no idea what we are discussing.
Quote from: Arteinvivo on January 16, 2009, 09:29:10 PM
Spike you have no idea what we are discussing.
If i got a dollar every time I have read this...
Quote from: Arteinvivo on January 16, 2009, 09:29:10 PM
Spike you have no idea what we are discussing.
Here Spike, it came from a class course on statistics and distribution.
LESSON 23:
THE NORMAL DISTRIBUTION-II
From: INTRODUCTION TO RESEARCH METHODOLOGY
"... So expressed as a percentage, 30.85%
or about 31% of students score above 73. Using the same
procedure described earlier and a standard normal table, it is
possible to entertain questions about percentages or proportions
of scores greater than, less than, or between any score or
set of scores.
Normalising(sp)
A common requirement for parametric tests is that the population
of scores from which the sample observations came
should be normally distributed. While many variables are close
enough to a normal distribution and many of the tests that we
will encounter are quite robust to moderate departures,
occasionally there is a need to transform a variable so that the
requirement of normality is better met. Essentially this means
transforming the distribution such that the symmetry of the
distribution is made to resemble a normal distribution more
closely.
Howell describes transformations on pages 323-329. You only
need to understand the principles behind such transformation
and the names of some of the main ones such as the logarithmic,
reciprocal, and square root transformations. Assignment I
asks you to look more closely at some transformations. "