Interactive Lab · Experiment 02
Coin Flip Luck Test
Luck. Or something more? The computer flips a coin in secret. Call heads or tails before you look, then see what the numbers actually say.
A playful experiment, not a diagnosis or proof of paranormal ability. No account needed.
Choose your session
25 flips: a quick, playful introduction. Expect about 12 or 13 correct by chance.
Community session results
25-flip sessionsNo completed sessions yet for this length. No sample scores are added.
These are voluntary, completed sessions—not unique people or a representative study. Repeat players can contribute more than once. A community average cannot establish paranormal ability. Unfinished sessions do not count. Session records expire after 24 hours; anonymous cumulative totals remain.
How to play
- Choose 25, 50 or 100 flips before you start.
- Call heads or tails for each hidden flip.
- Finish your fixed session, then review your score and the chance distribution.
Tips for a fair session
Play somewhere quiet, without help. Take a break if tired. Each flip is independent: a run of heads does not make tails "due". There is no proven trick to improve calling a genuinely hidden random flip. Keep all your results, not just your best run.
What does a coin flip test?
A fair coin is the simplest random generator there is: two outcomes, each with a 1 in 2 chance. That makes it a clean way to explore luck and intuition. Parapsychologists have used similar binary random generators in "micro-PK" experiments, testing whether intention could nudge random outcomes. This online version is a game: it measures your calls against chance, nothing more.
Is 100 flips better than 25?
More flips reduce relative random variation, but do not remove bias, repeat-attempt effects or the limits of an online game. Choose 25 for a quick try, 50 for balance, 100 for a longer fixed session.
Does a high score mean I am lucky or psychic?
No. Chance produces high scores too. Independent replication and carefully controlled research would be needed to evaluate a paranormal claim.
Explanation by Jamie Stas · Sources: NIST binomial distribution, ASA on p-values.
Beyond the score