Enter a run
Type digits in any order at your own pace. The goal is to capture your natural sense of randomness.
A simple experiment in human randomness. Enter digits, lock a blind prediction, and compare the model against your next taps.
The flow stays simple: capture a run, lock a prediction before the reveal, then inspect how well the model anticipated your next digits.
Type digits in any order at your own pace. The goal is to capture your natural sense of randomness.
Once you reach the run target, 100numbers locks a prediction file for the next 10, 100, or 1000 taps.
After you finish the evaluation window, compare the actual sequence, the prediction hash, and the resulting accuracy.
People tend to avoid repetition, over-correct, and reveal small habits when trying to look random. This project turns those habits into measurable sequences.
Each run is treated as a separate experiment. You provide the digits, the platform locks a blind prediction, and the result becomes a transparent record you can inspect afterward.
Start a run, let the system commit a prediction, and see whether your “random” choices stay random under measurement.
Sign in with email and password or use Google. Your session token stays in this browser so you can continue your runs and inspect previous evaluations.
Sign in with email/password or Google. Your session token is saved in your browser.
Everything here is optional. It just gives you a lightweight profile summary inside the app and stays attached to your account in this browser.
Optional. Keep it minimal or skip it entirely.
Tap fast or slow, just do not overthink it. The goal is to capture your natural tapping style.
Review the browser-stored details attached to your session and the recent prediction files you evaluated.
Inspect weighted accuracy, recent evaluations, and model-level behavior across your selected time window.
Questions, feedback, or collaboration ideas all go through the same inbox.
Review the committed horizon, the achieved accuracy, and the download link for the prediction file.
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We will generate a prediction file for the upcoming horizon and keep it hidden until evaluation completes.