Random Generators & Tools

Random Number Generator

Generate a random number or a sequence/list/set of random numbers

Random number:

    Number Generator settings

    What is Random Number Generator?

    Random Number Generator is a free online tool to generate a random number or a sequence/list/set of random numbers.

    How to generate a random number?

    • Choose the number of random numbers that you want to generate
    • Choose the length of a random number that you want to generate, by default we will generate a random number from 0-9. Select 3 to generate a random number from 0 to 999 and 2 to select a random number from 0 to 99.
    • Click the generate button to generate a random letter or a set of random letters.

    What is a Random Number Generator?

    A random number generator is a tool commonly used to generate a sequence of numbers or symbols that normally would not be predicted better by random chance. A random number generator can be an HRNG hardware random number generator, which genuinely generates random numbers or PRNG pseudo-random number generator which generates numbers or symbols that would seem random but are deterministic or predetermined.

    Applications and Uses

    Random number generators are common and vital in different fields and practices such as art, statistics, science, cryptography, sampling, computer simulations gaming, gambling and many other areas in which the production of unpredictable results are desired. In general, it is preferable where the result of unpredictability is paramount.

    Practical Application

    The two main principle methods of use in random number generation are:

    Pseudo-Random Number Generator PRNG

    The pseudo-random number generator can also be referred to as a deterministic random bit generator DRBG which is an algorithm used in the generation of a sequence of numbers in which its properties approximate those properties of the sequence of random numbers.

    PRNG is used in the development of computer simulations in which a broad range of digital or computational algorithms that mostly rely on much-repeated random samples are used whose end is to ultimately obtain numerical results. examples include the Monte Carlo experiments and most electronic games where the use of debugging whose process of finding problems and defects within a computer program or system and resolving the same to function properly, uses a random sequence which is much facilitated by its ability to run the same sequence of random numbers by initialising a random seed.

    The actual result of the PRNG random number sequence generator is not truly random. as it is determined by an initial value commonly known as a PRNG seed or random seed.this is the actual number that is used for the initialisation of the whole PRNG process.

    The generation of pseudo-random numbers is most common in computer coding and programming, depending on usage, some applications would require a higher degree of randomness such as in cryptography, here coding is foregrounded by a high level of security protocols which is required as defined in its practice, while others would only require a simple yet modest amount of unpredictability in their operations, examples include presenting a random quote of the day to a user.

    Hardware Random Number Generator (HRNG)

    Hardware random number generator HNRG or true random number generator TRNG is a random number sequence generator that generates numbers from a physical process rather than the usage of algorithms, this generates truly random numbers.

    Its early physical methods used in the generation of numbers is still in practice today mainly in gaming and gambling, this range from the flipping of the coin and rolling of dice whose probability is not predetermined.

    In computing, the hardware random number sequence generator is based on phenomena that generate low-key variables which are proven to be statistically random.

    The hardware random number generator normally consists of a transducer which converts energy from its physical form to another form usually an electric signal, it also constitutes an amplifier and some other electrical aspects to increase the amplitude of the random alternation to a measurable level and an analog and a digital converter to convert the final output into a digital number.

    The most common application of random number sequence generation in electronics is in cryptography, where they generate random cryptographic keys used to transmit data securely. these number generators can also be built from macroscopic processes using items such as lottery machines, coin flipping machines, dice, and roulette wheels, here the unpredictability in this phenomena is well justified by existing theories such as Newtonian mechanics and unstable dynamical systems.

    Number Generator Games

    Hardware random number generation can be used in the generation of a sequence in games such as lotteries, raffles, sweepstakes and draws which allow many participants and which truly generates random numbers.

    lottery mostly involves a means of raising money where numbered tickets are sold and prizes given to holders of tickets which are drawn at random.

    Sweepstakes is another form of gambling where number generation is involved, this is common in horse races where winnings comprise of all the money initially staked and is divided among the winners.

    Bingo is another game that entails a modest form of the random number sequence generation where players involved usually mark off numbers on cards as the numbers are randomly drawn by a caller in which the winner becomes the first person to mark off all the numbers drawn.

    Random number sequence generation can as well be applied in casino games such as Slot machines, roulette wheels, Sicko and Craps.

    History Random Number Generator

    In the early days, random number sequence generation was by the use of a variation of the same machines used today to play or select lottery numbers and were still in their development stages. The machines mixed some numbered balls like ping pong with air blown into the chambers which perhaps was a mechanical combination and used certain methods of withdrawing the balls from the mixing chambers. The method was inherently slow but gave reasonable results.

    In early 1947 Rand Corporation started random number sequence generation producing random digits by use of an electronic roulette wheel.

    Human Application

    Random number generation can as well be applied by humans through the collection of data from various end-users and imputing the findings as a randomisation source. According to this method of number generation, several studies have shown that indeed human beings have to some degree a level of non-randomisation in their attempts to use this method to generate a random number or sequence, e.g. digits or letters.

    FAQ Random Number Generator

    Any questions about the Number Generator? Check our FAQ for common questions and answers about our tool:

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