Coin Flip

Flip a virtual coin for quick, fair decisions. If you also need intelligent helper for crossword and word puzzle solving, explore WordWhiz for a complementary toolkit.

?

Leave empty for default (Heads/Tails). Try "Yes/No", "Pizza/Burger", etc.

0%100%

50% HEADS / 50% TAILS

Adjust to create a biased coin. 50/50 is fair, other values favor one side.

Show confetti animation when you get 3 or more of the same result in a row

📊 Probability Calculator

Probability of HEADS:

50%

1 in 2

Probability of consecutive results:

2 in a row

25.00%

1 in 4

3 in a row

12.50%

1 in 8

4 in a row

6.25%

1 in 16

5 in a row

3.13%

1 in 32

7 in a row

0.78%

1 in 128

10 in a row

0.10%

1 in 1,024

How are these probabilities calculated?

• Single flip: 50% chance for HEADS, 50% for TAILS

• Consecutive flips: Multiply the probability by itself. For example, getting HEADS 3 times in a row is 50% × 50% × 50% = 12.50%

🔐 How It Works: True Randomness

RollPick uses cryptographically secure randomness to ensure every flip is truly fair and unpredictable.

What is crypto.getRandomValues()?

crypto.getRandomValues() is a web standard for generating cryptographically secure random numbers. Unlike Math.random(), which is predictable and not suitable for security, crypto randomness uses the operating system's entropy sources.

Entropy sources include: mouse movements, keyboard timings, hardware noise, CPU temperature variations, and other unpredictable system events.

Why is this better than Math.random()?

Math.random() uses a pseudo-random number generator (PRNG) that produces a predictable sequence of numbers based on a seed value. Given the same seed, it will always produce the same sequence.

crypto.getRandomValues() uses a cryptographically secure PRNG (CSPRNG) that is:

  • Unpredictable: Cannot be guessed or predicted, even with knowledge of previous values
  • Non-repeating: Extremely long period before any pattern emerges
  • Secure: Suitable for cryptography, gambling, and security-critical applications
Can you prove the results are random?

Yes! With enough flips, the results should approach the expected probability. Try flipping 1000 times with a fair coin (50/50) - you'll get close to 50% heads and 50% tails.

Statistical tests like chi-squared tests can verify randomness. The crypto API passes all standard randomness tests used by cryptographers and security experts.

Note: In small samples, you might see "streaks" (like 5 heads in a row) - this is normal! True randomness includes clusters and patterns. It's the human brain that expects perfect distribution.

🛡️ Trust & Transparency: All randomization happens in your browser. No server-side manipulation. Open-source and auditable. Your results are as random as physically possible on a computer.