The earliest forms of generating random data include the roll of the dice, a coin flip, the spinning of the roulette wheel, and the shuffling of a deck of cards. These methods still exist in gambling which does not require large amounts of random results. But for industries and businesses that need high volumes of random results or data, the random number generator was developed.
Random number generators, or RNGs, are devices that create a sequence of numbers or symbols that ensure the integrity and independence of a system. This is commonly used in the digital industry, particularly in computer simulations, cryptography, gambling, state lotteries, statistical sampling, and other circumstances where producing an unpredictable result is needed.
Two types of RNG are being used to generate randomized data sequences, the true number generator and the pseudo-random number generator. Let us discuss how each works.
True Random Number Generator (TRNG)
A true random number generator creates random numbers or symbols from a physical process rather than by using an algorithm. A TRNG doesn’t need a seed to operate. Instead, these hardware number generators are digital snapshots of natural noises like atmospheric, electromagnetic, and thermal noise.
As TRNGs do not require algorithms, they don’t carry any repeating sequences and hence, it is impossible for hackers to steal money or vital information. Even if these cyber thieves can guess one of the numbers in the sequence, the seed cannot be used to find out the other numbers in the sequence.
Pseudo-Random Number Generator (PRNG)
Pseudorandom number generators use algorithms to help produce large quantities of random data. This software works by using a “seed value” to start its algorithm. The seed value can be anywhere from the date and time on a computer, the movements of a mouse, or a push of a keyboard.
The drawback of the PRNG is that it cannot create a truly 100% random seed value. Because there are too many dates, times, keys, and mouse moves that can be made to determine the seed, there is a possibility that PRNG can be influenced and compromised, even though the chances of this are so small.
Most slot machines operate using a PRNG. So, if you’re looking to play online slots for real money, keep in mind that winning more often doesn’t require you to develop any particular gambling skill.
PRNGs are tailor-made for applications that require many random data and where it is useful that the same sequence can be easily replayed. It is popular among tech firms that need simulations tests or require the modeling of events to get the likely outcome of an event.
How Can You Outsmart RNGs?
While some have successfully hacked RNGs to increase their winnings, these actions weren’t met without consequences.
Because RNGs are designed to generate random results, the only true factor that can aid in winning is luck. If you happen to get lucky in a short gambling session, it’s best for your bankroll to quit while you’re ahead.