Probability experiment lab
Run repeatable coin, die or card-rank experiments. Increasing the trial count usually reduces random fluctuation, but it does not force the observed percentages to equal theory.
Science experiments
70 practical tools across six collections. Choose a topic and start with a worked example.
How it works
Run repeatable coin, die or card-rank experiments. Increasing the trial count usually reduces random fluctuation, but it does not force the observed percentages to equal theory. Explore why shared birthdays become likely in a moderately sized group. The model deliberately treats all 365 dates as equally likely.
Shared birthday experiment
Explore why shared birthdays become likely in a moderately sized group. The model deliberately treats all 365 dates as equally likely.
Monty Hall experiment
Test staying versus switching under the classic host rules. If the host opens doors without knowing the prize or offers switches selectively, this model no longer applies.
Bayesian probability explorer
See how a prior probability and a signal interact. A signal with false positives can still have a low posterior probability when the original event is rare.
Survey uncertainty explorer
Explore uncertainty around a yes-or-no survey proportion. The interval describes random sampling variation under the model, not whether the sample represents the population.
Scale the Solar System
Build a tabletop or outdoor Solar System scale model. Planet diameters and orbital distances share a scale, which makes the large gaps between planets visible.
Light and sound travel
Compare light and sound travel over the same distance. Sound depends on the medium and conditions, while the light calculation assumes a vacuum.
Ideal pendulum simulator
Explore how pendulum length and gravity affect the ideal period. The animation uses a small swing and does not model damping or a large-amplitude correction.
Gear and pulley ratios
Compare input and output rotation for a pair of gears or pulleys. Tooth count and diameter are alternatives within the selected model; use consistent units.
Queue waiting simulator
Observe how random arrivals and service times create waiting. High offered utilization can produce long queues even when average service seems fast enough.
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