The online poker sites would have you believe that their software is fair for all players. In fact many of the online poker sites are required to submit their software for rigorous testing to prove it is a fair game for all players. However, is the software really fair? On the other hand, is there something going on in the background that many people never realize?
Many victims of bad beats will scream "this site is rigged" while others will counter that the suck outs and bad beats are all a part of poker and it happens even in live games. While that is true, it still begs the question as to whether there is more to the online poker game than meets the eye.
In a recent study conducted by a popular poker forum, the question, "Are Online Poker Sites Rigged?" was posed and the results were nearly split with 42% saying yes and 58% saying no. However, opinions by players really have no bearing on the truth as to whether there is something amiss in the software.
Attention to the fact that there are flaws in the software used to produce 'random' cards has always been the focal point of the argument. The fact that a computer program is determining the outcome using a RNG (Random Number Generator), does not imply the game is fair or random.
A RNG is merely a program that will "shuffle" the 52-card deck and appear to deal that deck in what may seem to be a random manner. However, because the RNG has limitations on capacity and ability to be truly random, additional software algorithms and processes are added into the online poker software to further insinuate a fair game.
It is these additional programs and algorithms that is the true culprit in creating an environment where bad beats and suck outs will occur more frequently. A popular poker site once claimed that the reason one may see so many bad beats online is that more hands are dealt. This limp explanation is neither credible nor even close to reality.
A typical live tourney will see an average of 38 hands dealt per hour, while an online tourney will have 52 hands dealt per hour. That in itself, is not a significant difference to warrant the overwhelming amount of bad beats that occur. The fact is, you could sit through thousands of live hands and not see the amount of remarkable bad beats that will occur online.
There is, of course, an explanation for this anomaly, and that explanation lies in the flaws of the computer generated program that determines the outcome of hands in online poker. In reality, the poker sites are rigged, since they do not use a true random determination, rather a programmed determination and additional subroutines and algorithms to effect the final outcome.
The 'rigged mentality' is usually geared toward bad beats and suck outs; however, the poker sites are rigged toward the winning hands (not toward bad beats) through the use of special algorithms used to determine the outcome. Furthermore, anyone who knows how the software works could easily manipulate it to their own advantage, thereby winning in more tournaments and cashing more often.
So, the next time you play online poker, do it with the knowledge that the cards being dealt are not truly random, and that there is a software program that actually is the determining factor if you win the hand or not.
Paul Westin is a professional poker player on several online poker sites and a former software engineer for a gaming company. His latest research reveals the inner workings of the online poker sites and how the software programs used on the poker sites affect the outcomes of your play. Visit the Online Poker Code Crack for more information on beating the rigged poker sites.
A related article on Poker cheating software is found here on EzineArticles
Stick around a while and learn a little, online poker and live poker tournament play.
Saturday, September 12, 2009
Monday, August 24, 2009
Online Poker Rigged? Secret Revealed!
Paul Westin, a professional poker player and former software engineer has recently released what some say will turn the online poker sites head over heels in an amazing revelation of the inner workings of the software!
For many, the phrase, 'this site is rigged' or 'they are cheating' has often been the battle cry of dominant hands getting taken down by inferior hands in online poker. Well, Westin is revealing all in his behind the scenes (or program should I say) look at the online poker rooms and how the software works.
I had the opportunity to review Paul Westin's Online Poker Code Crack, and can tell you that I was impressed to say the least. Not only does he take an in-depth look at how the software works, Westin also gives you the code to manipulate the software to your advantage!
Intrigued by his claims of being able to consistently win in online poker, I decided to try it myself. The results were far better than I had expected as I finished 4th in a deep tournament on Fulltilt (my best finish in 6 months!).
Surprisingly, Westin walks you through the program and reveals the flaws inherent in the software which allow you to manipulate the software and get deeper in any tourney. I was at the very least amazed at the results and at the simplicity with which Paul has laid out everything.
Take a look at it yourself and see the real truth behind the software in online poker. I think you will agree with me that all those moaners who said "it's rigged" were right! The online poker software is rigged, rigged for you to win, if you know how!
See results, testimonials and the whole story here; the Online Poker Code Crack
For many, the phrase, 'this site is rigged' or 'they are cheating' has often been the battle cry of dominant hands getting taken down by inferior hands in online poker. Well, Westin is revealing all in his behind the scenes (or program should I say) look at the online poker rooms and how the software works.
I had the opportunity to review Paul Westin's Online Poker Code Crack, and can tell you that I was impressed to say the least. Not only does he take an in-depth look at how the software works, Westin also gives you the code to manipulate the software to your advantage!
Intrigued by his claims of being able to consistently win in online poker, I decided to try it myself. The results were far better than I had expected as I finished 4th in a deep tournament on Fulltilt (my best finish in 6 months!).
Surprisingly, Westin walks you through the program and reveals the flaws inherent in the software which allow you to manipulate the software and get deeper in any tourney. I was at the very least amazed at the results and at the simplicity with which Paul has laid out everything.
Take a look at it yourself and see the real truth behind the software in online poker. I think you will agree with me that all those moaners who said "it's rigged" were right! The online poker software is rigged, rigged for you to win, if you know how!
See results, testimonials and the whole story here; the Online Poker Code Crack
Friday, August 14, 2009
Online Poker The Random Number Generator
As many people are aware, online poker rooms (as well as any online gambling site) uses what is called a random number generator to produce what would appear to be a random outcome in each hand.
This article will explain the Random Number Generator (also called Pseudo-Random Number Generator, PRNG or RNG). The purpose of this article is to familiarize players with the 'inner workings' of the software used in the Online Poker rooms and the way cards are produced in a deal.
The use of a RNG is nothing new, as it actually dates back hundreds of years before the computer was even conceived. Mathematicians as early as the 1700's used a random number process to try and determine outcomes of specific problems.
The advent of the computer presented a challenge for scientists and programmers wanting to produce a seemingly random action from the computer, and therefore an assembly code language function was implemented called RAND also known as randomize and RND. This function would be attached to a program and assigned a variable to select a random number.
However, the program required a 'seed' number to begin its process of selecting what would appear to be a random number, otherwise it would produce the same series of numbers each time the program ran. Therefore, early programmers used the timer function on the CPU in order to produce a different series of seemingly random numbers each time the program ran.
This was somewhat acceptable and appeared to produce a different random result each time. However, after several thousand runs of the program, it became easier to 'predict' what series of numbers would come out. This gave a challenge to programmers to find a way to actually produce what would seem to be a truly random result, one that could not be predicted or repeated in any short course of time.
Ultimately, a mathematical method was derived that gave the RNG's a better way to produce a more realistic way of generating random numbers. In addition, experiments using white noise generators to produce the seed were also successful. Both of these among other secondary methods to produce a seemingly random result are used today in all major Online Poker rooms.
Now for the DEAL!
How does that affect the deal of cards, you may ask. Well, actually, the modern RNG programs are more beneficial then the software used several years ago. The sophistication of the randomness is better for the player, because the predictability of a card is much harder, and the RNG is designed to curtail cheating. However, it is not the best method and has many failures.
The Major Fail
A standard 52 card deck has a total number of possible combinations of 80,658,175,170,943,878,571,660,636,856,404,000,000,000,000,000,000,000,000,000,000,000,000
Thats a BIG number, in fact, there is no name for a number that large except to say it is 8 times 10 to the 67th power.
What this means is that if you lay out all 52 cards in order, that is one possible combination of the deck, you shuffle the cards and lay them out again, they obviously are in a different order, and that would be a second combination, repeat this process and each time you would get a different sequence or combination of cards laid out on the table. It would require a minimum 8 times 10 to the 67th power 'deals' to repeat the exact same sequence of cards.
In essence, a deck of cards is ideally suited to an RNG because of the endless variety of combinations of a deck. However, there is no possible way any computer in existence has the ability to store every combination (it would require at the bare minimum a 256 bit processor and a whole lot of speed!) and since most servers use only a 32 or 64 bit architecture they are only able to process a small fraction of all possible combinations.
Two Pigeons; One Hole
This is known as the Pigeonhole Principle, wherein the theorem states that there does not exist an injective function on finite sets whose co-domain is smaller than its domain. In other words, you can not put two objects into a container that is physically only able to hold one object.
So what happens to the billions of possible deck combinations? Simple, they are never used, processed or even appear in the online poker RNG. They do not exist as far as the program is concerned.
In reality, out of the 8x10^67 possible combinations only about 4 billion deck combinations are used in a 32bit architecture. This greatly reduces the number of possible hands you can make, and also is a basic explanation as to why there are so many bad beats and made hands in online poker.
For this reason, you will notice more straights, more flushes and more often full houses appear at showdown. The program, by reducing all the possible combinations down to less than 1/20^58, now forces a lot of action and produces a lot of big hands, because it strips away all the outer-dimensional deck combinations. (How often do you see high card, one pair or two pair win?)
In conclusion, the RNG used in online poker is never able to truly produce a random deck or outcome, simply because the program does not use all possible combinations of decks. There are other reasons the deck may be stacked against you and we will explore those in upcoming articles.
I hope this article is helpful to you in understanding how the RNG produces a 'random' deck of cards and invite you to subscribe or bookmark this blog to learn more about online poker.
This post is intended to give a brief oversight of some of the inner workings of the online poker RNG, in the next post, I will explore how the RNG can actually be manipulated to your advantage.
This article will explain the Random Number Generator (also called Pseudo-Random Number Generator, PRNG or RNG). The purpose of this article is to familiarize players with the 'inner workings' of the software used in the Online Poker rooms and the way cards are produced in a deal.
The use of a RNG is nothing new, as it actually dates back hundreds of years before the computer was even conceived. Mathematicians as early as the 1700's used a random number process to try and determine outcomes of specific problems.
The advent of the computer presented a challenge for scientists and programmers wanting to produce a seemingly random action from the computer, and therefore an assembly code language function was implemented called RAND also known as randomize and RND. This function would be attached to a program and assigned a variable to select a random number.
However, the program required a 'seed' number to begin its process of selecting what would appear to be a random number, otherwise it would produce the same series of numbers each time the program ran. Therefore, early programmers used the timer function on the CPU in order to produce a different series of seemingly random numbers each time the program ran.
This was somewhat acceptable and appeared to produce a different random result each time. However, after several thousand runs of the program, it became easier to 'predict' what series of numbers would come out. This gave a challenge to programmers to find a way to actually produce what would seem to be a truly random result, one that could not be predicted or repeated in any short course of time.
Ultimately, a mathematical method was derived that gave the RNG's a better way to produce a more realistic way of generating random numbers. In addition, experiments using white noise generators to produce the seed were also successful. Both of these among other secondary methods to produce a seemingly random result are used today in all major Online Poker rooms.
Now for the DEAL!
How does that affect the deal of cards, you may ask. Well, actually, the modern RNG programs are more beneficial then the software used several years ago. The sophistication of the randomness is better for the player, because the predictability of a card is much harder, and the RNG is designed to curtail cheating. However, it is not the best method and has many failures.
The Major Fail
A standard 52 card deck has a total number of possible combinations of 80,658,175,170,943,878,571,660,636,856,404,000,000,000,000,000,000,000,000,000,000,000,000
Thats a BIG number, in fact, there is no name for a number that large except to say it is 8 times 10 to the 67th power.
What this means is that if you lay out all 52 cards in order, that is one possible combination of the deck, you shuffle the cards and lay them out again, they obviously are in a different order, and that would be a second combination, repeat this process and each time you would get a different sequence or combination of cards laid out on the table. It would require a minimum 8 times 10 to the 67th power 'deals' to repeat the exact same sequence of cards.
In essence, a deck of cards is ideally suited to an RNG because of the endless variety of combinations of a deck. However, there is no possible way any computer in existence has the ability to store every combination (it would require at the bare minimum a 256 bit processor and a whole lot of speed!) and since most servers use only a 32 or 64 bit architecture they are only able to process a small fraction of all possible combinations.
Two Pigeons; One Hole
This is known as the Pigeonhole Principle, wherein the theorem states that there does not exist an injective function on finite sets whose co-domain is smaller than its domain. In other words, you can not put two objects into a container that is physically only able to hold one object.
So what happens to the billions of possible deck combinations? Simple, they are never used, processed or even appear in the online poker RNG. They do not exist as far as the program is concerned.
In reality, out of the 8x10^67 possible combinations only about 4 billion deck combinations are used in a 32bit architecture. This greatly reduces the number of possible hands you can make, and also is a basic explanation as to why there are so many bad beats and made hands in online poker.
For this reason, you will notice more straights, more flushes and more often full houses appear at showdown. The program, by reducing all the possible combinations down to less than 1/20^58, now forces a lot of action and produces a lot of big hands, because it strips away all the outer-dimensional deck combinations. (How often do you see high card, one pair or two pair win?)
In conclusion, the RNG used in online poker is never able to truly produce a random deck or outcome, simply because the program does not use all possible combinations of decks. There are other reasons the deck may be stacked against you and we will explore those in upcoming articles.
I hope this article is helpful to you in understanding how the RNG produces a 'random' deck of cards and invite you to subscribe or bookmark this blog to learn more about online poker.
This post is intended to give a brief oversight of some of the inner workings of the online poker RNG, in the next post, I will explore how the RNG can actually be manipulated to your advantage.
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