Random Number

Cryptographically random numbers in any range. Pick min, max, count, integer or decimal, with optional no-repeats. Uses <code>crypto.getRandomValues</code> for unbiased output — no predictable pseudo-random sequences. Useful for fairness-sensitive use (lottery picks, A/B test seeds) and for development scenarios where reproducibility matters less than security.

When you need real random

• Lotteries and raffles — observable bias breaks trust
• A/B test bucketing — biased seeds skew results
• Mock data with realistic distribution — for stress tests
• Cryptographic salts — covered by Random String
• Game design — loot drops, encounter chances

For any of those, “good enough” pseudo-random is not good enough. The CSPRNG output behind this tool is what every modern crypto library uses internally.

Common workflows

Pick a winner from a list. Generate 1 random in [1, list_length], count down to the entry. The browser’s CSPRNG is your audit trail — anyone can verify you used the standard primitive.

Sample from a population. Generate N unique random integers in [0, population_size), no-repeats on. Each is an index into your list.

Stress-test with realistic spread. Generate 1000 numbers in your domain — request latencies, page sizes, payloads. Plug into your test harness.

Roll dice for a game. [1, 6] for d6, [1, 20] for d20. Bulk mode for stat rolling.

Decimal vs integer

• Integer — [min, max] inclusive on both ends
• Decimal — [min, max) half-open, configurable precision

Pick integer for counts and indices; decimal for proportions and continuous variables.

Why a tool

Generating random in code is a one-liner if you trust the runtime; a tool is faster when you need a number for a meeting, a giveaway, or a quick prototype. Same primitive, no dependencies, no environment to set up.

Last updated: 2025-01-15