Random DC Character

DC Comics maintains a roster exceeding 10,000 named characters across its multiverse. Selecting one at random for tabletop RPG sessions, creative writing prompts, cosplay decisions, or trivia games requires more than a coin flip. A naive Math.random call in most browsers relies on a PRNG (xorshift128+) that can exhibit subtle bias over small sample sizes. This generator uses the crypto.getRandomValues API to source entropy from the operating system, producing uniform distribution across the candidate pool. Filter by alignment - hero, villain, or antihero - to narrow results. Each card displays canonical data: first appearance year, primary powers, team affiliations, and a concise origin note. The dataset covers characters from Action Comics #1 (1938) through modern continuity.

Limitations: the embedded dataset contains approximately 80 characters weighted toward editorial prominence. Obscure characters from Vertigo imprints or one-issue appearances are not included. All data reflects post-Crisis / Rebirth continuity where conflicts exist.

Character selection uses cryptographic randomness to guarantee uniform probability across n candidates after filtering.

where n = total characters matching the active filter, and c_i = the i-th candidate. The random index k is derived from:

To eliminate modulo bias, the implementation uses rejection sampling: values from a 32-bit unsigned integer are discarded if they fall in the incomplete final bucket. This ensures each character has exactly equal probability 1n of being selected, with no systematic skew regardless of dataset size.