Random number generator or RNG is a mathematical construct–a formula or an algorithm that can be used via a computer programme and is mainly used in lotteries, games, and for security and cryptography. An RNG, as its name suggests, is designed to generate seemingly random numbers without any predictability. There is no distinguishable pattern in the appearance or generation of data, and is thus termed ‘random’.
Is Using Random Numbers a New Concept?
RNGs are a modern technology, but the use of randomness has been prevalent since ancient times. When you toss a coin, there is a 50-50 chance of getting heads or tails, but you cannot accurately predict when you will get heads or tails. Similarly, when you throw a dice, you have an equal chance of getting any one of the six faces. Tossing a coin, rolling a dice, drawing a straw, and shuffling cards are all examples of random number generation that have been used to leave the end result to chance.
Are There Different Types of RNGs?
There are two types of random number generators–Hardware Random Number Generators (TRNGs) and Software Random Number Generators (PRNGs).
How do TRNGs work?
Hardware Random Number Generators (also known as True Random Number Generators–TRNGs) make use of minute physical processes or phenomena, like electronic or atmospheric noise, to generate data that is unique and cannot be repeated. These are called True Random Numbers. TRNGs are generally used in the field of cryptography and security systems.
How do PRNGs work?
Software Random Number Generators (also known as Pseudo Random Number Generators–PRNGs) make use of an initial ‘seed’ value and an algorithm to generate random numbers. These are called Pseudo Random Numbers. The seed value could be the number of clicks of a mouse or keystrokes that a user makes. PRNGs are used in the field of gaming.
Are Gaming Softwares Using RNGs Fair?
RNGs are extensively used in online rummy games on websites like RummyCulture, Junglee Rummy, RummyCircle, KhelPlay Rummy, and others. These websites use RNGs to shuffle the decks, distribute the cards and make users to play rummy online. Such rummy card game applications make use of RNGs in their processes have their RNGs evaluated and verified regularly by an authentic organization like iTech Labs so that it complies with the relevant standards. The evaluation consists of checking the algorithm and testing the shuffling decks. The numbers generated by the RNGs need to pass the Marsaglia’s “Diehard” test for statistical randomness. These RNGs are tested at frequent intervals for unpredictability and are thus deemed safe and fair to the gamers.