Random Number Generator

Generate one or multiple truly random numbers within any custom range. Perfect for games, raffles, draws, and statistics.

Generate Random Numbers

Maximum 100 numbers per generation
Quick Presets
How random is this? This generator uses JavaScript's Math.random(), which produces pseudo-random numbers using a cryptographically non-seeded algorithm. It is statistically suitable for games, raffles, and most everyday uses. For cryptographic or security purposes, use a cryptographically secure generator.

Random Number Generator: Uses, Fairness, and How It Works

Random number generation is one of the most fundamental operations in mathematics, computing, and games. Whether you are conducting a raffle, assigning students to groups, rolling virtual dice, selecting statistical samples, or testing software, a reliable random number generator is an indispensable tool.

Common Use Cases

  • Lotteries and Raffles: Drawing winners from a pool of participants (e.g., "Participant #47 wins!")
  • Board Games & Tabletop RPGs: Rolling dice of any size — d4, d6, d8, d10, d12, d20, d100
  • Statistics and Research: Selecting random samples from a population for surveys or experiments
  • Education: Randomly calling on students, assigning groups, generating quiz questions
  • Decision Making: Breaking a tie or choosing randomly between options ("Heads or tails?")
  • Software Testing: Generating test data with random inputs to check edge cases

Pseudo-Random vs. True Random Numbers

Computers cannot generate truly random numbers — they are deterministic machines. Instead, most random number generators produce pseudo-random numbers: sequences that appear statistically random but are generated from a mathematical formula seeded with an initial value. JavaScript's Math.random() uses an algorithm (typically xorshift128+ or similar) that produces uniformly distributed numbers between 0 and 1 with excellent statistical properties.

True random numbers are generated from inherently unpredictable physical processes (atmospheric noise, radioactive decay). Services like Random.org harvest such entropy. For most everyday purposes — games, raffles, random selections — pseudo-random numbers are perfectly adequate and statistically fair.

Ensuring Fairness in Raffles and Draws

For transparent, publicly verifiable random draws, consider these best practices:

  1. Announce the number range and generation method before the draw
  2. Generate the number live or screen-share the generation
  3. Document the result with a screenshot or recording
  4. For large raffles, use a combination of random number + public verifiable seed (like a Bitcoin block hash)

Frequently Asked Questions

Our generator uses JavaScript's built-in Math.random() function, which produces numbers with a uniform distribution across the range — meaning every number between your minimum and maximum has an equal probability of being selected. The algorithm is well-tested and statistically unbiased for all practical purposes including raffles, games, and sampling. It is not cryptographically secure, but it is statistically fair for everyday use.
When "no duplicates" is enabled, the generator builds a pool of all numbers in the range, shuffles them using the Fisher-Yates algorithm, and then selects the first N numbers from the shuffled pool. This guarantees each number appears at most once, similar to drawing numbered balls from a drum. Note: if you request more numbers than are in the range (e.g., 6 unique numbers from 1–5), the request cannot be fulfilled and you'll see an error.
The 6/49 preset generates 6 unique random numbers between 1 and 49, mimicking the format of many national lottery draws (including Canada's Lotto 6/49, UK National Lottery, and similar games). Numbers are generated without duplicates. Remember: these are randomly generated numbers with no connection to any official lottery system, and no number combination is more "lucky" than another — each combination has exactly the same probability.