🪙 Coin Flip

Flip a fair digital coin

Flip a perfectly fair digital coin with exactly 50/50 odds for heads or tails. Fun fact: Even if you flip heads 10 times in a row, the next flip still has a 50% chance of being heads—that's the gambler's fallacy in action!

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👑 HEADS

🦅 TAILS

Statistics

Total Flips 0

Heads 0 0%

Tails 0 0%

Current Streak 0

Longest Streak 0

The Science of Coin Flips

Understand the gambler's fallacy, law of large numbers, and why streaks don't predict future outcomes.

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About Coin Flips

A coin flip is one of the simplest forms of randomization with exactly two equally likely outcomes. Each flip is independent, meaning previous results don't affect future flips.

Probability

Every flip has a 50% chance of landing on heads and a 50% chance of landing on tails, regardless of previous results. The probability remains constant:

P(Heads) = 1/2 = 0.5 = 50%
P(Tails) = 1/2 = 0.5 = 50%
P(Same result twice) = 1/4 = 0.25 = 25%
P(Same result 10 times) = (1/2)^10 ≈ 0.098%

The Gambler's Fallacy

Many people incorrectly believe that after several heads in a row, tails is "due" to appear. This is false! Each flip is independent, and the coin has no memory of previous results. A streak of 10 heads doesn't make tails any more likely on flip #11.

Law of Large Numbers

While each individual flip is unpredictable, over many flips the ratio of heads to tails will approach 50/50. Try flipping 100 times to see this principle in action!