Hive Diagnosis 2D: Bayesian Belief Map

A struggling colony rarely announces its own cause. This 2D companion to the 3D hive-diagnosis simulator strips the same structured troubleshooting process — identify, think critically, develop a solution, implement, evaluate — down to a flat, pannable belief map. Five candidate causes (Varroa mites, Nosema, queen failure, pesticide exposure, and starvation/weather stress) start equally likely; each diagnostic test you choose to run returns a real simulated result and reshapes the posterior probability map live, with glowing particles carrying the update from the test node to every cause disk and a running Shannon-entropy readout showing how much uncertainty is actually left. Jump to a diagnosis too early and you'll often be wrong — exactly the shortcut the underlying article warns beekeepers against.