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TOOLFORGE/MOD_034/RANDOM NUM
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SYS://MOD_034

RANDOM NUMBER GENERATOR

Generate random numbers, sequences, dice rolls, and lottery picks. Cryptographically secure. No repeats option. Generate lists of random numbers instantly.

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// FAQ

FREQUENTLY ASKED QUESTIONS

Q1.How are the random numbers generated?

This tool uses the Web Cryptography API's crypto.getRandomValues() function, which generates cryptographically secure random numbers using the operating system's entropy sources (hardware random number generator or similar). This is significantly more random than Math.random(), which is a pseudorandom number generator (PRNG) not suitable for security applications.

Q2.What does "no repeats" mean in the multiple numbers mode?

When "no repeats" is checked, each generated number will be unique — no number appears twice in the result. This is useful for picking raffle tickets, generating lottery numbers, or creating a randomized sequence. Note: if you request more unique numbers than exist in the range (e.g., 15 unique numbers between 1 and 10), the generator will return as many as possible.

Q3.What dice are available in the dice roller?

The dice roller supports d4, d6, d8, d10, d12, d20, and d100 — the standard dice used in tabletop RPGs like Dungeons & Dragons. You can roll 1 to 20 dice at once and see individual results plus the total. Results use cryptographically secure randomness, not simulated pseudorandom dice.

Q4.Are these lottery numbers more likely to win?

No — all lottery numbers have exactly equal probability of winning, whether computer-generated or hand-picked. Random number generators don't improve your odds; every combination has the same chance. These lottery picks are for entertainment and convenience only. Always check your local lottery rules and play responsibly.

Q5.What is the difference between random and pseudorandom?

True random numbers come from unpredictable physical processes (like thermal noise or radioactive decay). Pseudorandom numbers are generated by a deterministic algorithm that produces sequences appearing random but are reproducible given the same seed. This tool uses crypto.getRandomValues(), which is seeded by OS-level entropy and is considered cryptographically secure — suitable for security, simulations, and games.


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