🧼AlphaCalc

Random Number Generator

Generate a random integer between a minimum and maximum value.

So funktioniert's

This generator produces a random whole number between a minimum and maximum value you set, with both endpoints included in the possible results — meaning a range of 1 to 6 can return 1, 6, or anything in between, each with equal probability.

Under the hood, it uses your browser's built-in pseudorandom number generator, then scales and rounds that output into whole numbers within your chosen range. Every number in the range has an equal (uniform) chance of being selected, matching the intuitive idea of a fair random draw.

Common uses include simulating a dice roll (1 to 6, or other ranges for non-standard dice), picking a random winner from a numbered list of entries, generating a random sample for a small statistics exercise, or simply making an unbiased decision when you want to remove your own bias from a choice.

Generating multiple numbers at once is supported too, with an option to disallow duplicates — this switches the behavior from "roll a die N times" (where the same number can come up repeatedly) to "draw N unique numbers" (like drawing raffle tickets without putting them back), which is the right choice whenever repeats wouldn't make sense for your use case.

One important caveat: this uses standard browser randomness, which is suitable for games, sampling, and everyday decision-making, but is not cryptographically secure — it shouldn't be used for security-sensitive applications like generating passwords, encryption keys, or anything where an adversary predicting the "random" output would matter.

Can I generate multiple numbers?

Yes, choose how many numbers to generate at once, with an option to disallow duplicates.

Is this truly random?

It's pseudorandom, generated by your browser's built-in random number algorithm — statistically uniform and unpredictable enough for games, sampling, and everyday use, but not cryptographically secure.

What does 'disallow duplicates' actually change?

With duplicates allowed, each number generated is independent (like separate dice rolls, where repeats are normal). With duplicates disallowed, each generated number is removed from the pool before the next draw (like raffle tickets), guaranteeing a unique set.

Can I use this to simulate rolling a die?

Yes — set the range to 1–6 for a standard six-sided die, or any other range to simulate dice with a different number of sides.

Is every number in the range equally likely?

Yes — the generator produces a uniform distribution, meaning every integer in your chosen range has an equal probability of being selected on each draw.

Can I use this for an official raffle or lottery drawing?

For casual or low-stakes drawings, yes — but for anything requiring provable fairness or legal compliance, use a purpose-built, audited random drawing tool or service instead.

Why shouldn't I use this to generate a password or encryption key?

Standard browser randomness isn't designed to resist an attacker trying to predict or reproduce the output — security-sensitive uses need a cryptographically secure random number generator instead.

Can the minimum and maximum be negative numbers?

Yes — the range can include negative numbers, zero, or any combination, as long as the minimum is less than or equal to the maximum.

What happens if I set the minimum higher than the maximum?

The calculator expects the minimum to be less than or equal to the maximum — swap the two values if you've entered them in the wrong fields.

Can I use this for a random sample in a statistics project?

Yes — generating a set of random numbers without duplicates is a reasonable way to draw a simple random sample from a numbered population for a classroom or informal project.

What's the difference between this and Monte Carlo simulation?

Monte Carlo methods use large volumes of random numbers to model complex probabilistic systems through repeated random sampling — this tool generates individual random numbers, which could be a building block for such a simulation but isn't a simulation tool itself.