🛡️ Insurance, Risk Management & Business Continuity Lab

About this simulation

Commercial and semi-commercial beekeepers face perils that can wipe out a season's income in one event: wildfire, flood, vandalism/theft, disease outbreaks, or a hard winter. This model shows a simplified apiary business as a set of hive sites arranged around a home base, protected by an insurance coverage dome whose size reflects how much of the insured value would actually be paid out after a loss.

How it works

• Apiary sites — spreading hives across more, geographically separate sites is a core continuity strategy: it lowers the chance a single event destroys the whole operation.
• Coverage level — the share of insured value the policy actually reimburses after a covered loss; the rest is an uninsured loss the business absorbs itself.
• Peril severity — how destructive the triggered event is; higher severity damages more hives at more sites.
• Mutual / collective pool — when enabled, losses are pooled and shared evenly across all sites (like a beekeepers' mutual insurance scheme), smoothing out the impact instead of concentrating it on whichever sites are hit hardest.
• Continuity score — a 0-100 estimate of how quickly the business could keep operating, combining site diversification, coverage level and the realized loss.

Controls

• Apiary sites — number of separate hive locations (2-8).
• Coverage level — percentage of insured value the policy pays out (0-100%).
• Peril severity — intensity of the simulated disaster (10-100%).
• Mutual / collective pool — toggle shared risk-pooling on or off.
• ⚡ Trigger disaster event — runs one shockwave through the apiary and tallies the outcome. ↺ Reset scenario restores all hives. Drag to rotate, scroll to zoom.

Did you know?

Many UK beekeeping associations offer group ("collective") public-liability and bee-disease insurance schemes at rates individual hobbyists could rarely get alone — the same risk-pooling logic modelled here by the mutual toggle.