Hive Diagnosis: Bayesian Troubleshooting Simulator

A struggling colony rarely announces its own cause. This simulator turns the beekeeper's structured troubleshooting process — identify, think critically, develop a solution, implement, evaluate — into a real Bayesian belief-update model rendered in 3D. 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 cloud live, with glowing particles carrying the update from the test node to every cause sphere 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.