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A random name picker selects one or more names at random from a list — useful for prize draws, assigning tasks, picking teams, or choosing a winner fairly.
Formula
Random selection algorithm: each name probability = 1/n (uniform); weighted if importance varies
- n
- Number of names in list
- P
- Probability of selection (1/n)
Guida passo passo
- 1Uniform random selection: each name has equal probability
- 2Without replacement: once picked, removed from pool
- 3With replacement: same name can be picked again
- 4Fisher-Yates shuffle ensures unbiased randomness
Esempi risolti
Ingresso
Pick 1 winner from 50 names
Risultato
Each name has exactly 1/50 = 2% chance of being selected
Domande frequenti
How is random name selection done fairly?
Each name gets equal probability (1/n) using pseudo-random number generator. True randomness is algorithmic.
Can weighted selection be used?
Yes. If some names are more likely, adjust probabilities. Raffle: ticket quantity = probability weight.
Is a name picker better than drawing names?
Both fair if unbiased. Digital: audit trail, repeatable. Physical draw: perceived fairness, transparent process.