Cardcounter
Well-Known Member
How standard devaition works for the short and long term!
Lets look at standard deviation and its effect on short term results
Lets say you are cardcounter with a 1% average advantage and you play a 100 hands at an average of a $100 a hand. Standard deviation is equal to the square root of the number of hands played times a 110% of the amount bet. So one standard deviation can produce results bad enough to put you a loser in such a short period of time.
#of hands expected value of play is standard devaition is
100 $100 10*110=$1,100+or-
10,000 $10,000 100*110=$11,000
1,000,000 $1,000,000 1,000*$110=$110,000
100,000,000 $100,000,000 10,000*$110=$1,100,000
10,000,000,000 $10,000,000,000 100,000*$110=$11,000,000
The point is even though you could be a loser after 10,000 hands if you truely had an advantage after 1,000,000 hands you will never be a loser. At 10,000 hands the odds of losing a $1,000 and winning $21,000 are the same. At a 100 hands the odds of losing $1,000 and winning $1,200 are the same.
At a 1,000,000 hands of playing with a 1% advantage the odds of winning $890,000 to $1,110,000 are the same even if you had terrible variance and where 3 standard deviations lower than where you should be at a 1,000,000 hands you would still be $670,000 ahead which would be just as likely as being $1,330,000 ahead! Thats why short term flucktion might suck but long term it is golden.
The point is the larger the number of hands the smaller the relative standard deviation is. At a 100 hands the standard deviation was 1,100% of expected value. At a 100 million hands the standard deviation shrank to 1.1% of expected value.
If you play 10,000 hands or less you have a far shot at losing money even if you have a 1% disadvantage. You certanly have a really far shot at losing money playing only a 100 hands.
Lets look at standard deviation and its effect on short term results
Lets say you are cardcounter with a 1% average advantage and you play a 100 hands at an average of a $100 a hand. Standard deviation is equal to the square root of the number of hands played times a 110% of the amount bet. So one standard deviation can produce results bad enough to put you a loser in such a short period of time.
#of hands expected value of play is standard devaition is
100 $100 10*110=$1,100+or-
10,000 $10,000 100*110=$11,000
1,000,000 $1,000,000 1,000*$110=$110,000
100,000,000 $100,000,000 10,000*$110=$1,100,000
10,000,000,000 $10,000,000,000 100,000*$110=$11,000,000
The point is even though you could be a loser after 10,000 hands if you truely had an advantage after 1,000,000 hands you will never be a loser. At 10,000 hands the odds of losing a $1,000 and winning $21,000 are the same. At a 100 hands the odds of losing $1,000 and winning $1,200 are the same.
At a 1,000,000 hands of playing with a 1% advantage the odds of winning $890,000 to $1,110,000 are the same even if you had terrible variance and where 3 standard deviations lower than where you should be at a 1,000,000 hands you would still be $670,000 ahead which would be just as likely as being $1,330,000 ahead! Thats why short term flucktion might suck but long term it is golden.
The point is the larger the number of hands the smaller the relative standard deviation is. At a 100 hands the standard deviation was 1,100% of expected value. At a 100 million hands the standard deviation shrank to 1.1% of expected value.
If you play 10,000 hands or less you have a far shot at losing money even if you have a 1% disadvantage. You certanly have a really far shot at losing money playing only a 100 hands.