RNG Full Tilt Poker Flaws

Is there something amiss in the software used to run FullTilt, or is it just our imagination? This post will examine the inherent RNG Full Tilt poker flaws and how it adversely affects players.

The RNG, as most any online poker player knows is the Random Number Generator that "shuffles" the cards in an online poker room. The RNG is by most accounts the fairest way to shuffle a deck to make the game appear fair and random. However, there are several inherent flaws which inevitably have many poker players screaming "This site is rigged"

There are several arguments as to why bad beats and suck outs occur on Full Tilt, and most of these are explained away in a non-technical 'that's poker' explanation. However, it stands to reason that there actually should be a more plausible reasoning behind the enormous amount of bad beats and suckouts.

That reasoning, as discussed by Paul Westin (a professional poker player and software engineer), is that there really are flaws in the programs used by Full Tilt as well as Pokerstars and almost all other online poker sites.

The flaws are a result of an attempt by the programmers to create a secure and unpredictable deal of the cards using the RNG. In 2001 several skilled software programmers were able to break the pattern of a popular RNG used on a well-known poker site, resulting in massive wins by the hackers.

This prompted the Online poker sites to find a more secure manner in which to deal and shuffle cards. At first, the seed used in the RNG was changed to a non-static variable (such as a white noise generator, sound wave technology, etc). This helped make it nearly impossible to find the seed, since the variable would constantly change in a widely non-specific pattern.

The next measure was to add in algorithms and subroutines to prevent any one player to win pot after pot. This was a safeguard in case the RNG was possibly compromised, and further accomplished by an algorithm which would force specific hands to win, while others would lose. (you know AA vs. 5 8os and the 5 8 gets there!)

The result is less than desirable, since the actual deal of the cards no longer mimic real life statistics. In fact, in a study of 250,000 hand histories, it was determined that a straight or flush occurred 12% more often than it would in live play. While a full house occurred nearly 25% more often than it statistically would in live play.

After careful examination of Paul Westin's complete study on the RNG full tilt poker flaws, I am without a doubt convinced that his answers are way more plausible than the standard answers given in most rigged poker debates.

It should be noted that Westin does not claim the sites are rigged to their own advantage, rather they are rigged to prevent cheating, collusion and players dominating a table. The algorithms used are in place to prevent what the poker site feels would otherwise be an unfair advantage.

However, the fact that they add in algorithms and subroutines in an attempt to prevent cheats, has opened up the door for a person to actually win more if they are familiar with the patterns created by the algorithms and if that player knows what to 'look for' while playing.

My opinion is that Westin is on target, his explanation definitely gives a player the advantage and he even shows how to suckout and how to know when you are going to lose a big hand.

You can read more at the Online Poker Code Crack site and further articles located at ezinearticles.

Good Luck as always!