Random Number Generator and
Reverse RNG Technology Explained

This topic section will shed some light on Random Number Generators (RNG) mainly on how RNG technology is not truly random. The RNG of any software program is the section of code in the program that is responsible for producing random values within that programs environment. The most important thing to remember is that the computer or hardware connected to the computer (electronic devices) are using sophisticated methods to come up with "random" values.

The instance of RNG technology that we are evaluating is the RNG technology used by Poker Rooms in order to generate random cards for each hand of poker. There are many ways that electronic devices can produce random numbers and we will be exploring the most common ways here.

The first most common method used to produce a random value is by using a built in function within a software program that is actually a mixture of a lot of computer properties at a given time. If you were to process a general random function in software it would most likely use the computer systems current time and other variables to produce a result. This type of random event is only random because the time can only be the same every 12 hours. It can only be 1:00 twice a day (using standard time). Because of this, the software would be able to always pick a new value with every second that passes by. This type of random process is not used by poker rooms but is explained to show you the absolute basics of how random values are chosen.

The way most poker rooms come up with random values is by hardware processing. This form of random generation is used in part with a piece of hardware that serves only one purpose. This purpose is to either record sounds in a similar fashion to a  microphone or possibly even record video just like a camera. The data that is being recorded by these hardware devices should technically always be different. It would be very hard to record the same exact sounds in a busy environment or capture the same exact picture if a camera is facing toward a busy street.

This type of randomness is assumed to be truly random because the data that is being saved is always changing. While the incoming data is always different the computer in charge of processing everything has to still follow a set of rules to come to its end conclusion. This is where the problem with truly random number comes into play. Let's take for example a deck of cards. If a computer is in charge of this ever changing random event and needs to come up with different cards every time then how is it possible to get dealt the same flop twice or even get the same hole cards twice in a row?

While this may or may not have happened to you the fact remains that any random event that comes with an electronic device is only meant to seem random and is not truly random. Poker rooms must put special code into their random generators to make sure that the same cards do not keep being dealt over and over again. Can you imagine if you were playing poker and the flop was always the same? How would you be able to stop this from happening and would it even happen if you were using a data input that had constantly changing data?

The problem is if data was always changing from lets say a video camera and based on the different pixels you would get from the video feed a different card pattern would emerge. How then would you ever get the same cards dealt to you? This means that the computer has to be instructed at all times what cards to pick based on this random hardware data. This also means the random event could always be changing but multiple different images on a video camera will have the same result.

This proves that computers or any electronic device is not capable of coming up with a random value. It is only made to look random. This is the same as repainting a wall. If your wall was white and you just painted it blue, the wall is still a wall, it's just made to look different.

Reverse RNG Technology is accomplished by tracking all aspects of the RNG and then comparing elements of this data and finding a common link. While all data produced is "random" there are still similarities in these end results. We have been researching reverse RNG technology for many years and have been very successful in this project. Due to the nature of our work we cannot reveal the exact process of Reverse RNG on poker room software.

PokerRNG was made to be able to calculate changes in the RNG and to track the different RNGs for a very long time. After a certain RNG is tracked for a length of time we are able to then determine how it will produce values in the future. Our exact process cannot be explained but it is used along with our global database to calculate upcoming cards with up to 100% accuracy.