PPolySim OS
Use case · powered by Bayesian Inference

Bayesian Inference for a control group

Simulate a control group live in your browser. This runs the real Bayesian Inference solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

Bayesian InferenceLive

Controls

Presets

Bayesian inference updates a prior belief with data to form a posterior. For a coin, a Beta prior combined with binomial coin flips gives a Beta posterior — the conjugate update is just adding heads to α and tails to β. Watch the posterior sharpen and shift as evidence accumulates.

▶ Run in Python

Data Inspector

Posterior mean0.667
Posterior SD0.094
Posterior α, β16.0, 8.0

Governing equation

Reading this result: The posterior mean 0.667 sits between the prior mean 0.500 and the observed rate 0.700; with 20 flips versus 4.0 pseudo-counts, the data dominates and pulls the estimate toward the evidence.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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About this simulation

The full Bayesian Inference tool models a control group with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Bayesian Inference

Other ways to simulate a control group

Frequently asked questions

How do I simulate a control group?
Open this page and use the live Bayesian Inference tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?
Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?
Absolutely — every input is adjustable, and with data import you can drive a control group from your own measurements.