Vampire Apocalypse Calculator
Simulate a vampire outbreak using the Lotka-Volterra predator-prey model. Set initial populations, feeding rates, and conversion rates to see how quickly humanity falls — or fights back.
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About Vampire Apocalypse Calculator
Understanding the Vampire Predator-Prey Model
This simulator uses a modified Lotka-Volterra model, the same mathematical framework ecologists use to study predator-prey relationships in nature. In our scenario:
- Humans (prey) decline when attacked by vampires. Each encounter removes one human from the population.
- Vampires (predators) grow by converting a fraction of their victims, but also die from slayers, sunlight exposure, and starvation.
- The feeding rate determines encounter frequency: a rate of 0.005 means each vampire attacks 0.5% of the remaining human population per day.
- The conversion rate controls what fraction of victims rise as new vampires (typically 10-50%).
- The death rate represents daily vampire losses to slayers, holy water, garlic, and dawn patrols.
The Math Behind the Outbreak
New vampires = conversion_rate × encounters
Dead vampires = death_rate × Vampires
H(t+1) = H(t) − encounters
V(t+1) = V(t) + new_vampires − dead_vampires
This discrete-time Euler approximation steps through each day, updating populations based on the current state. The model captures exponential growth, resource depletion, and predator collapse.
Real-World Parallels
While vampires are fictional, the Lotka-Volterra model has serious scientific applications:
- Epidemiology: SIR models for disease outbreaks follow similar dynamics (susceptible humans, infected individuals, recovered/removed).
- Ecology: Wolf-moose populations on Isle Royale, lynx-hare cycles in Canada, and shark-fish dynamics all follow predator-prey patterns.
- Economics: Market competition models use similar equations to predict how competing businesses consume shared resources.
- Pop culture: Researchers at the University of Ottawa published a real academic paper modeling a zombie apocalypse using these equations (Munz et al., 2009).
Frequently Asked Questions
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