PPolySim OS

Daisyworld

Can life keep a planet habitable without trying to? Daisyworld shows how — black and white daisies competing for sunlight hold the temperature steady even as the star grows hotter.

DaisyworldLive

Controls

Watson and Lovelock's Daisyworld shows how life can regulate a planet. Black daisies warm a cold world by absorbing sunlight; white daisies cool a hot one by reflecting it. As the sun brightens, the daisy mix shifts to hold the temperature nearly constant — biological homeostasis with no foresight.

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Data Inspector

Luminosity0.70
Temperature0.0 °C
White / black20% / 20%

Governing equation

Reading this result: Under a dim sun (L=0.70), dark black daisies (20%) take over and absorb sunlight, warming the planet toward the temperature life prefers.

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

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How it works

James Lovelock and Andrew Watson built Daisyworld to answer critics of the Gaia hypothesis. Black daisies absorb heat and warm a cold planet; white daisies reflect it and cool a hot one. As solar luminosity rises, the balance of the two shifts to keep global temperature nearly constant — homeostasis emerging from simple competition, with no coordination.

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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

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Frequently asked questions

Is this Daisyworld model tool really free?
Yes. Daisyworld runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.