
1. Theory of Probability Leading to the Fundamental Formula of Gambling
It has become common sense the belief that persistence leads to success. It might be true for some life situations, sometimes. It is never true, however, for gambling and games of chance in general. Actually, in gambling persistence leads to inevitable bankruptcy. I can prove this universal truth mathematically. I will not describe the entire scientific process, since it is rather complicated for all readers but a few. The algorithm consists of four phases: win N consecutive draws (trials); lose N consecutive trials; not to lose N consecutive draws; win within N consecutive trials. I will simplify the discourse to its essentials.
You may want to know the detailed procedure leading to this numerical relation. Read: Mathematics of the Fundamental Formula Of Gambling.
Click here if you want to download a 16-bit DOS program that automatically does all the calculations (for free!): FORMULA.EXE and especially the 32-bit SuperFormula.EXE.
The program allows you to calculate the number of trials N for any degree of certainty DC. Plus, you can also calculate the very important 'binomial distribution' formula (BDF) and 'binomial standard deviation' (BSD), plus dozens of statistics and probability functions.
Let's suppose I play the 3-digit lottery game (pick 3). The game has a total of 1,000 combinations. Thus, any particular pick-3 combination has a probability of 1 in 1,000 (we write it 1/1,000). I also mention that all combinations have an equal probability of appearance. Also important - and contrary to common belief: the past draws do count in any game of chance and Pascal demonstrated that hundreds of years ago. Evidently, the combinations have an equal probability, but they appear with different frequencies. Please read an important message in my forum: Combination '1,2,3,4,5,6': Probability and Reality.
As soon as I choose a combination to play (for example 2-1-4) I can't avoid asking myself:"Self, how many drawings do I have to play so that there is a 99.9% degree of certainty my combination of 1/1,000 probability will come out?"
My question dealt with three elements:
degree of certainty that an event will appear, symbolized by DC
probability of the event, symbolized by p
number of trials (events), symbolized by N
I was able to answer such a question and quantify it in a mathematical expression (logarithmic) I named the Fundamental Formula of Gambling (FFG):
The Fundamental Formula of Gambling (FFG) is an historic discovery in theory of probability, theory of games, and gambling mathematics. The formula offers an incredibly real and practical correlation with gambling phenomena. As a matter of fact, FFG is applicable to any sort of highly randomized events: lottery, roulette, blackjack, horse racing, sports betting, even stock trading. By contrast, what they call theory of games is a form of vague mathematics: The formulae are barely vaguely correlated with real life. 2. The Fundamental Table of Gambling (FTG)
Substituting DC and p with various values, the formula leads to the following, very meaningful and useful table. You may want to keep it handy and consult it especially when you want to bet big (as in a casino).
DC ― | p= .90 | p= .80 | p= .75 | p= .66 | p= 1/2 | p= 1/3 | p= 1/4 | p= 1/6 | p= 1/8 | p= 1/10 | p= 1/16 | p= 1/32 | p= 1/64 | p= 1/100 | p= 1/1,000 |
| 10% | - | - | - | - | - | - | - | - | - | 1 | 1 | 3 | 6 | 10 | 105 |
| 25% | - | - | - | - | - | - | 1 | 1 | 2 | 3 | 4 | 9 | 18 | 28 | 287 |
| 50% | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 3 | 6 | 7 | 10 | 21 | 44 | 68 | 692 |
| 75% | 1 | 1 | 1 | 2 | 2 | 3 | 4 | 7 | 11 | 13 | 21 | 43 | 88 | 137 | 1,385 |
| 90% | 1 | 2 | 2 | 2 | 3 | 5 | 8 | 12 | 17 | 22 | 35 | 72 | 146 | 229 | 2,301 |
| 95% | 1 | 2 | 2 | 3 | 4 | 7 | 10 | 16 | 22 | 29 | 46 | 94 | 190 | 298 | 2,994 |
| 99% | 2 | 3 | 3 | 4 | 7 | 11 | 16 | 25 | 34 | 44 | 71 | 145 | 292 | 458 | 4,602 |
| 99.9% | 3 | 4 | 5 | 6 | 10 | 17 | 24 | 37 | 52 | 66 | 107 | 217 | 438 | 687 | 6,904 |
Even this easiest of the games of chance can lead to sizable losses. Suppose I bet $2 before the first toss. There is a 50% chance that I will lose. Next, I bet $4 in order to recuperate my previous loss and gain $2. Next, I bet $8 to recuperate my previous loss and gain $2. I might have to go all the way to the 9th toss to have a 99.9% chance that, finally, heads came out! Since I bet $2 and doubling up to the 9th toss, two to the power of 9 is 512. Therefore, I needed $512 to make sure that I am very, very close to certainty (99.9%) that heads will show up and I win . . . $2! Very encouraging, isn't it? Actually, it could be even worse: it might take even 10 or 11 tosses until heads appear! This dangerous form of betting is called a Martingale system. Beware of it! Normally, though, you will see that heads (or tails) will appear at least once every 3 or 4 tosses (the DC is 90% to 95%). Nevertheless, this game is too easy for any player with a few thousand dollars to spare. Accordingly, no casino in the world would implement such a game. Any casino would be a guaranteed loser in a matter of months! They need what is known as "house edge" or "percentage advantage". This factor translates to longer losing streaks for the player, in addition to more wins for the house! Also, the casinos set limits on maximum bets: the players are not allowed to double up indefinitely. A few more words on the house edge . The worst type of gambling for the player is conducted by state lotteries. In the digit lotteries, the state commissions enjoy typically an extraordinary 50% house edge!!! That's almost 10 times worse than the American roulette -- considered by many a suckers' game! (But they don't know there is more to the picture than meets the eye!) 3. The Fundamental Formula of Gambling: Games Other Than Coin Toss Let's go all the way to the last column: p=1/1,000. The column illustrates the well-known3-digit lottery game. It is extremely popular and supposedly easy to win. Unfortunately, most players know little, if anything, about its mathematics. Let's say I pick the number 2-1-4 and play it every drawing. I only have a 10% chance (DC) that my pick will come out winner within the next 105 drawings! The degree of certainty DC is All lottery cases and data do confirm the theory of probability and the formula of bankruptcy... I mean of gambling! By the way, it is almost certain (99.5% to 99.9%) that the number2-1-4 will come out within the next 400-500 drawings in Pennsylvania lottery. But nothing is 100% We don't need to analyze the 4. Ion Saliu's Paradox Or Problem Of N Trials A step in the Fundamental Formula of Gambling leads to this relation:
Let's try to make sense of those numbers. The easiest to understand are the numbers in the column under the heading p=1/2. It analyzes the coin tossing game of chance. There are 2 events in the game: heads and tails. Thus, the individual probability for either event is p = 1/2. Look at the row 50%: it has the number 1 in it. It means that it takes 1 event (coin toss, that is) in order to have a 50-50 chance (or degree of certainty of 50%) that either heads or tails will come out. More explicitly, suppose I bet on heads. My chance is 50% that heads will appear in the 1st coin toss. The chance or degree of certainty increases to 99.9%that heads will come out within 10 tosses!
In order to be as fair as the roulette, the state lotteries would have to pay $950 for a $1 bet in the 3-digit game. In reality, they now pay only $500 for a $1 winning bet!!! Remember, the odds are
Dice rolling is a more difficult game and it is illustrated in the column p=1/6. I bet, for example, on the 3-point face. There is a 50% chance (DC) that the 3-point face will show up within the first 3 rolls. It will take, however, 37 rolls to have a 99.9% certainty that the 3-point face will show up at least once. If I bet the same way as in the previous case, my betting capital should be equal to 2 to the power of 37! It's already astronomical and we are still in easy-gambling territory!
We can express the probability as p = 1/N; e.g. the probability of getting one point face when rolling a die is '1 in 6' or p = 1/6; the probability of getting one roulette number is '1 in 38' or p = 1/38. It is common sense that if we repeat the event N times we expect one success. That might be true for an extraordinarily large number of trials. If we repeat the event N times, we are NOT guaranteed to win. If we play roulette 38 consecutive spins, the chance to win is significantly less than 1!
If the probability is 1/N and we repeat the event N times, the degree of certainty is {1 (1/e)}, when N tends to infinity. I named this relation Ion Saliu's paradox or problem of N trials.
Read more on my web pages: "Theory of Probability: Best introduction, formulae, algorithms, software" and "The Mathematical Foundation Of The Fundamental Formula Of Gambling".
5. The Practical Dimension of the Fundamental Formula of Gambling
There is more info on this topic on the next page. It reveals the dark side of the Moon, so to speak. The governments hide the truth when it comes to telling it all; and the Internet is incredibly prone to fraudulent gambling. Click here for important facts ![]()
| The Fundamental Formula of Gambling does not explicitly or implicitly serve as a gambling system. It represents pure mathematics. Users who apply the numerical relations herein to their own gambling systems do so at their risk entirely. I, the author, do apply the formula to my gambling and lottery systems. I will show you how to use the gambling formula, my application MDIEditor and Lotto and the lotto systems that come with the application. I will put everything in a winning lotto strategy that targets the third prize in lotto games ('4 out of 6'). At later times, I also released gambling systems, strategies for: Roulette, blackjack, baccarat, horse racing, sports betting. Is it all? Probably you'll find some more around here Click here to go to the lottery system page |


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