Betting systems are all equally worthless
Last update: Apr. 2, 2008
"No one can possibly win at roulette unless he steals money from the table while the croupier isn't looking." — Albert Einstein
Not only do bettings systems fail to beat casino games with a house advantage, they can't even dent it. Roulette balls and dice simply have no memory. Every spin in roulette and every toss in craps is independent of all past events. In the short run you can fool yourself into thinking a betting system works, by risking a lot to win a little. However, in the long run no betting system can withstand the test of time. Furthermore, the longer you play, the ratio of money lost to money bet will get closer to the expecation for that game.
I have received hundreds of e-mails from believers in betting systems. Their faith reaches a religious fervor. However, in all things the more ridiculous a belief is the more tenaciously it tends to be held. Yet the casinos are still standing and nobody has ever proven anything that works.
The Gambler's Fallacy
The biggest gambling myth is that an event that has not
happened recently becomes overdue and more likely to occur.
This is known as the "gambler's fallacy." Thousands of
gamblers have devised betting systems that attempt to
exploit the gambler's fallacy by betting the opposite way of
recent outcomes. For example, waiting for three reds in
roulette and then betting on black. Hucksters sell
"guaranteed" get-rich-quick betting systems that are
ultimately based on the gambler's fallacy. None of them
work. If you don't believe me here is what some other
sources say on the topic.
A common gamblers' fallacy called 'the doctrine
of the maturity of the chances' (or 'Monte Carlo
fallacy') falsely assumes that each play in a game of
chance is not independent of the others and that a series
of outcomes of one sort should be balanced in the short
run by other possibilities. A number of 'systems' have
been invented by gamblers based largely on this fallacy;
casino operators are happy to encourage the use of such
systems and to exploit any gambler's neglect of the
strict rules of probability and independent plays. --
Encyclopedia Britannica (look under "gambling.")
No betting system can convert a subfair game into a
profitable enterprise... -- Probability and
Measure (page 94, second edition) by Patrick
Billingsley
The number of 'guaranteed' betting systems, the
proliferation of myths and fallacies concerning such
systems, and the countless people believing, propagating,
venerating, protecting, and swearing by such systems are
legion. Betting systems constitute one of the oldest
delusions of gambling history. Betting systems votaries
are spiritually akin to the proponents of perpetual
motion machines, butting their heads against the second
law of thermodynamcis. -- The Theory of Gambling and
Statistical Logic (page 53) by Richard A. Epstein
Vegas Click also has a
good expose of the gambler's fallacy.
The Martingale
Every week I receive two or three emails asking me about
the betting system by which a player doubles his/her bet
after a loss. This system is generally played with an even
money game such as the red/black bet in roulette or the
pass/don't pass bet in craps and is known as the Martingale. The
idea is that by doubling your bet after a loss, you would
always win enough to cover all past losses plus one unit.
For example if a player starts at $1 and loses four bets in
a row, winning on the fifth, he will have lost $1+$2+$4+$8 =
$15 on the four losing bets and won $16 on the fifth bet.
The losses were covered and he had a profit of $1. The
problem is that it is easier than you think to lose several
bets in a row and run out of betting money after you've
doubled it all away.
In order to prove this point I created a program that
simulated two systems, the Martingale and flat betting, and
applied each by betting on the pass line in craps (which has
a 49.29% probability of winning). The Martingale bettor would always
start with a $1 bet and start the session with $255 which is
enough to cover 8 losses in a row. The flat bettor would bet
$1 every time. The Martingale player would play for 100
bets, or until he couldn't cover the amount of a bet. In that
case he would stop playing and leave with the money he had
left. In the event his 100th bet was a loss, he would keep
betting until he either won a bet or couldn't cover the next
bet. The person flat betting would play 100 bets every time.
I repeated this experiment for 1,000,000 sessions for both
systems and tabulated the results. The graph below shows the
results:
As you can see, the flat bettor has a bell curve with a
peak at a loss of $1, and never strays very far from that
peak. Usually the Martingale bettor would show a profit
represented by the bell curve on the far right, peaking at
$51; however, on the far left we see those times when he
couldn't cover a bet and walked away with a substantial
loss. That happened for 19.65% of the sessions. Many
believers in the Martingale mistakenly believe that the many
wins will more than cover the few loses.
In this experiment the average session loss for the flat
bettor was $1.12, but was $4.20 for the Martingale bettor.
In both cases the ratio of money lost to money won was very
close to 7/495, which is the house edge on the pass line bet
in craps. This is not coincidental. No matter what system is
used in the long run, this ratio will always approach the
house edge. To prove this point consider the Martingale
player on the pass line in craps who only desires to win $1,
starts with a bet of $1, and has a bankroll of $2,047 to
cover as many as 10 consecutive losses. The table below
shows all possible outcomes with each probability, expected
bet, and return.
|
Possible outcomes of Martingale up to ten losing
bets
|
|
Number
of losses
|
Final
outcome
|
Highest
bet
|
Total
bet
|
Net
outcome
|
Probability
|
Expected
bet
|
Expected
return
|
|
0
|
Win
|
1
|
1
|
1
|
0.49292929
|
0.49292929
|
0.49292929
|
|
1
|
Win
|
2
|
3
|
1
|
0.24995001
|
0.74985002
|
0.24995001
|
|
2
|
Win
|
4
|
7
|
1
|
0.12674233
|
0.88719628
|
0.12674233
|
|
3
|
Win
|
8
|
15
|
1
|
0.06426732
|
0.96400981
|
0.06426732
|
|
4
|
Win
|
16
|
31
|
1
|
0.03258808
|
1.01023035
|
0.03258808
|
|
5
|
Win
|
32
|
63
|
1
|
0.01652446
|
1.04104089
|
0.01652446
|
|
6
|
Win
|
64
|
127
|
1
|
0.00837907
|
1.06414175
|
0.00837907
|
|
7
|
Win
|
128
|
255
|
1
|
0.00424878
|
1.08343900
|
0.00424878
|
|
8
|
Win
|
256
|
511
|
1
|
0.00215443
|
1.10091479
|
0.00215443
|
|
9
|
Win
|
512
|
1023
|
1
|
0.00109245
|
1.11757574
|
0.00109245
|
|
10
|
Win
|
1024
|
2047
|
1
|
0.00055395
|
1.13393379
|
0.00055395
|
|
10
|
Loss
|
1024
|
2047
|
-2047
|
0.00056984
|
1.16646467
|
-1.16646467
|
|
Total
|
1.00000000
|
11.81172639
|
-0.16703451
|
The expected bet is the product of the total bet and the
probability. Likewise, the expected return is the product of
the total return and the probability. The last row shows
this Martingale bettor to have had an average total bet of
11.81172639 and an average loss of 0.16703451. Dividing the
average loss by the average bet yields .01414141. We now
divide 7 by 495 ( the house edge on the pass line) and we
again get 0.01414141! This shows that the Martingale is
neither better nor worse than flat betting when measured by
the ratio of expected loss to expected bet. All betting
systems are equal to flat betting when compared this way, as
they should be. In other words, all betting systems are
equally worthless.
Another experiment
Here is another experiment I conducted earlier which
proves the same thing as the experiment above. This one is
played against roulette testing three different systems.
Player 1 flat bet a $1 each time. He was not using a betting
system. Player 2 started a series of trials with a bet of $1
and increased his wager by $1 after every winning bet. A
lost bet would constitute the end of a series and the next
bet would be $1. Player 3 also started a series of bets with
a bet of $1 but used a doubling strategy in that after a
losing bet of $x he would bet $2x (the Martingale). A
winning bet would constitute the end of a series and the
next bet would be $1. To make it realistic I put a maximum
bet on player 3 of $200. Below are the results of that
experiment:
Player 1
- Total amount wagered = $1,000,000,000
- Average wager = $1.00
- Total loss = $52,667,912
- Expected loss = $52,631,579
- Ratio of loss to money wagered = .052668
Player 2
- Total amount wagered = $1,899,943,349
- Average wager = $1.90
- Total loss = $100,056,549
- Expected loss = $99,997,018
- Ratio of loss to money wagered = .052663
Player 3
- Total amount wagered = $5,744,751,450
- Average wager = $5.74
- Total loss = $302,679,372
- Expected loss = $302,355,340
- Ratio of loss to money wagered = .052688
As you can see the ratio of money lost to money wagered
is always close to the normal house advantage of 1/19 =~
.052632. In conclusion, varying of bet size depending on
recent past wins or losses makes no difference in the long run outcome and is no different than always betting the same.
A third experiment
An
Old Timer's Guide to Beating the Craps Table (link no longer works) is a
betting system that makes big promises about turning the
craps tables into your own personal cash register. I offered
to test his system for free. Here are the
results.
The cancellation betting system
Despite all my warnings about betting systems, readers
continually ask me to suggest one. To satisfy those who
enjoy playing systems I have done a full explanation and
analysis of the cancellation betting
system.
Don't waste your money
The Internet is full of people selling betting systems
with promises of beating the casino at games of luck. Those
who sell these systems are the present day equivalent of the
19th century snake oil salesmen. Under no circumstances
should you waste one penny on any gambling system. Every
time one has been put to a computer simulation it failed and
showed the same ratio of losses to money bet as flat
betting. If you ask a system salesman about this you likely
will get a reply such as, "In real life nobody plays
millions of trials in the casino." You're likely to also
hear that his/her system works in real life, but not when
used against a computer simulation. It is interesting that
professionals use computers to model real life problems in
just about every field of study, yet when it comes to
betting systems computer analysis becomes "worthless and
unreliable", as the salesman of one system put it. In any
event, such an excuse misses the point; the computer runs
billions of trials simply to prove that a system is unsound.
If it won't work on a computer, it won't work in the
casino.
Gambling systems have been around for as long as gambling
has. No system has ever been proven to work. From an inside
source, I know that system salesmen go from selling one kind
of system to another. It is a dirty business by which they
steal ideas from each other, and are always attempting to
rehash old systems as something new.
System salesmen usually promise ridiculous advantages. For example, even with just a 1% advantage on an even money bet, it would not be difficult to parlay $100 into $1,000,000 by betting in proportion to bankroll. I was asked to prove this claim so I wrote a computer simulation based on the toss of a biassed coin, with a 50.5% chance of winning. At all times the player bet 1% of his bankroll, rounded down to the nearest dollar. However, if a winning bet would put the player over $1,000,000 then he only bet as much as he needed to get to exactly $1,000,000. In addition, I ran simulations with a 2% advantage and for a starting bankroll of $1,000. Following are the results of all four tests.
$100 bankroll, 1% advantage
- Bets won = 7,182,811,698 (50.4999%)
- Bets lost = 7,040,599,544 (49.5001%)
- Player achieved $1,000,000 first = 79,438 (83.019%)
- Player went bust first = 16,249 (16.981%)
- Average number of bets to reach $1,000,000 = 174,972 (364.5 days at 8 hours per day, 60 bets per hour)
$100 bankroll, 2% advantage
- Bets won = 7,027,117,205 (51.0000%)
- Bets lost = 6,751,539,769 (49.0000%)
- Player achieved $1,000,000 first = 215,702 (98.099%)
- Player went bust first = 4,180 (1.901%)
- Average number of bets to reach $1,000,000 = 63,775 (132.9 days at 8 hours per day, 60 bets per hour)
$1,000 bankroll, 1% advantage
- Bets won = 5,213,026,190 (50.4999%)
- Bets lost = 5,109,817,544 (49.5001%)
- Player achieved $1,000,000 first = 74,818 (99.0285%)
- Player went bust first = 734 (0.9715%)
- Average number of bets to reach $1,000,000 = 137,208 (285.8 days at 8 hours per day, 60 bets per hour)
$1,000 bankroll, 2% advantage
- Bets won = 6,332,837,070 (50.9996%)
- Bets lost = 6,084,596,671 (49.0004%)
- Player achieved $1,000,000 first = 267,445 (99.9996%)
- Player went bust first = 1 (0.0004%)
- Average number of bets to reach $1,000,000 = 46,428 (96.7 days at 8 hours per day, 60 bets per hour)
These simulations prove that with just a small advantage of as little as 1% and a bankroll of as little as $100 you can grind your way to a million dollars through the gambling equivalent of compound interest. Yet you never hear of this actually happening. Could it be that these gambling systems don't work after all?!
Here are some examples of system salesmen who try to take
advantage of the mathematically challenged. There are
hundreds of sites like these on the Internet, and this list
is just a sampling. Frequently these sites vanish in the
middle of the night, or suddenly direct traffic to a porn
site. Please do let me know if any of these links don't work
or take you to other than the intended place.
Also be warned that there are many others out there
selling get rich quick gambling schemes that claim they are
not betting systems. These sites usually throw out lots of
fancy physics words like "chaos" and "fractals" but display
no evidence they know what these words mean. I have in the
past listed some such sites above but got angry letters
claiming I shouldn't criticize what I don't understand.
Personally I feel that every method claiming an easy way to
beat the casinos is a scam and I don't need to understand
whatever the secret is. However, to be totally fair I'll only
list betting systems above since those have been
mathematically debunked by computer simulations. If anyone
did find a true easy way to beat the casinos why aren't they
getting rich doing it?
The Wizard of Odds Challenge
For about six years, from 1999 to 2005, I offered $20,000 to anyone with a betting system that could show a profit over a one billion hand computer simulation. Here you can find the rules of the challenge. However, in all this time I only had one serious taker and hundreds of people wasting my time, pretending to be interested but never following through. So in January 2005, I took down the offer.
My webmaster, Michael Bluejay, now offers essentially the same challenge on his own site, VegasClick.com. If you accept his challenge, and win, I will be happy to state as such on the front page of this site, for proving the experts wrong.
A Fourth Experiment
On October 19, 2004, Daniel Rainsong accepted my
challenge. Mr. Rainsong was so confident he would win he
doubled the stakes to my $40,000 against his $4,000.
Although the rules of the challenge are based on craps or
roulette I allowed this challenge to be based on blackjack
rules with a house edge of only 0.26%. Can a betting system
beat a game with a house edge this small and a 1,028 bet
spread? Visit my Rainsong
Challenge for all the details.
Please, Don't Write
I absolutely do not respond to e-mails that suggest a player can beat a negative expection game over the long run with a betting system. Such e-mail is deleted on sight. I have said all I have to say on the topic here and in my FAQ.
More Information
Betting Systems and the House Edge an article by Ph.D. mathematician Eliot Jacobson debunking betting systems.
Betting Systems, an article by Michael Bluejay, of VegasClick.
Why The Martingale System Sucks has lots of graphs showing that the more you play the more you lose with the Martingale.
German translation of this article.
©1998-2008 Wizard Of Odds Consulting, Inc. All rights reserved.
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