Estimate the risk of duplicate IDs.

CalcVerse

Hash Collision Probability

Example

Input: 10k Items, 32-bit

Result: < 0.1%

What is Hash Collision Probability?

Uses the Birthday Paradox logic to estimate collision chance in a set of random values.

How it Works

1. Enter 'Number of Items'. 2. Input 'Bit Depth' (e.g. 32, 64, 128). 3. View Probability.

FAQ

What is a collision?

Two different inputs producing the same hash/ID.

Birthday Paradox?

In a group of 23 people, there's a 50% chance of a shared birthday.

Is 32-bit safe?

Only for very small sets (<50k items).

UUID safety?

Virtually zero collision risk (128-bit).

Short IDs?

Higher risk; requires collision checks.

Conclusion

For small datasets, 32-bit hashes might suffice, but as you scale, collisions become mathematically inevitable. Use UUIDs (128-bit) for globally unique identifiers to make this risk negligible.

Explore Related Calculators

References & Standards

This calculator uses formulas and data standards from Standard References to ensure accuracy.

Interactive Calculator Loading...