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Generation History
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How Random Number Generation Works
Our random number generator uses JavaScript's Math.random() function, which generates pseudo-random numbers using a deterministic algorithm. While not truly random (like quantum randomness), it's sufficiently random for most practical applications including:
- Gaming: Dice rolls, card shuffling, loot drops
- Lotteries: Picking winning numbers or raffle tickets
- Statistics: Random sampling, Monte Carlo simulations
- Security: Generating passwords or tokens (Note: Use cryptographic RNG for production)
- Education: Teaching probability and statistics
Features
- Custom Range: Set any minimum and maximum values
- Bulk Generation: Generate up to 1,000 numbers at once
- Duplicate Control: Choose whether to allow repeated numbers
- Automatic Sorting: Option to sort results in ascending order
- One-Click Copy: Copy all generated numbers to clipboard
- History Tracking: Review your previous generations
Use Cases
Gaming & Entertainment
Generate random numbers for board games, role-playing games, or creating game mechanics. Perfect for simulating dice rolls, determining turn order, or creating unpredictable game events.
Lottery & Raffles
Pick lottery numbers, raffle winners, or contest participants fairly. Disable duplicates to ensure each number appears only once, ideal for selecting multiple winners.
Statistical Analysis
Create random samples for statistical studies, quality control testing, or A/B testing. Generate random data sets for educational purposes or research simulations.
Password Generation
Use random numbers as part of password creation or PIN generation. For production security applications, consider using cryptographically secure random number generators.
Tips for Best Results
- When generating numbers without duplicates, ensure your range is large enough for the quantity requested
- Use sorting for easier analysis of generated sets
- Save important results from the history before clearing
- For lottery numbers, disable duplicates and sort results