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3D Birth-Defect Cluster Illusion Map

3D Poisson-statistics map: individual birth-defect events, drawn from the same baseline rate everywhere, are plotted as points across a population grid — orbit the map to see how tight-looking 'clusters' emerge purely from chance, and check them against a real Poisson significance test.

Biology3DEasy60 FPS📱 Mobile-adapted⇄ 2D version

Viewed from above, a scatter of purely random points almost always contains a spot that looks like a hotspot — that is a basic property of randomness, not evidence of a shared cause. This 3D simulator plots individually sampled birth-defect events across a population grid, one point per case, all drawn from the identical baseline rate everywhere. Orbit the map to inspect whichever cluster of cells currently holds the highest count, then compare its observed case count to the population baseline with a real Poisson significance test — and watch the raw p-value get corrected once you account for how many regions were scanned before that "cluster" was singled out.

⚙ Under the hood

Visualize random data points representing a baseline population density, showing how clusters can appear by chance without any actual pollution effect.

simulationepidemiologypollutionbirth defects

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install