Zombie Outbreak Simulator

Explore how attack frequency, fighting, escape, transformation, and zombie decay change a reproducible fictional outbreak timeline and outcome.

Outbreak scenario

Adjust the fictional daily encounter model. Percentages describe the average outcome of many encounters.

Initial humans

Initial zombies

Days to simulate

Attacks per zombie / day

Humans who fight (%)

Fight success (%)

Escape success (%)

Losses transformed (%)

Zombie decay / day (%)

Scenario outcome

Outbreak contained on day 27

Humans remaining

9,981

Zombies remaining

Human survival

99.81%

Peak zombie population

10 on day 0

Population timeline

Day 0

10,000 humans

10 zombies

Day 4

9,993 humans

6 zombies

Day 8

9,988 humans

4 zombies

Day 12

9,985 humans

3 zombies

Day 16

9,983 humans

2 zombies

Day 20

9,982 humans

1 zombies

Day 24

9,981 humans

1 zombies

Day 27

9,981 humans

0 zombies

Model boundaries

This is a deterministic fictional model, not a forecast or public-health tool. Each day, encounters split into fights and escape attempts; human losses may transform, successful fighters remove zombies, and the remaining zombie population decays. It omits geography, births, supplies, migration, incubation, immunity, coordination, and randomness.

A transparent fictional population model

The simulator advances humans and zombies one day at a time. Zombie attacks are capped by the number of humans available, then divided between fights and escape attempts.

Failed fights and escapes reduce the human population. A selected share transforms into zombies, successful fights remove zombies, and daily decay reduces the remaining horde.

Use scenarios, not predictions

The model is deliberately reproducible: identical inputs give identical results. That makes strategy comparisons easier, but real populations and real infectious diseases require far richer validated models.

Formula variables

$H, Z$: Human and zombie populations
$p_f$: Share of encounters fought
$s_f, s_e$: Fight and escape success
$p_t$: Transformation chance
$d$: Daily zombie decay

Daily attacks

A=min(H,Zf_a)

Human losses

L=Ap_f(1-s_f)+A(1-p_f)(1-s_e)

Next humans

H'=H-L

Next zombies

Z'=(Z-Ap_fs_f+Lp_t)(1-d)

Examples

Compare survival strategy

Input

10,000 humans; 10 zombies; 60% fight; 65% fight success; 75% escape success

Show result

Result

A day-by-day outcome, survivors, peak horde, and sampled timeline

Frequently Asked Questions

Why is the same scenario always identical?

The tool uses deterministic average outcomes so you can compare parameter changes without random noise.

Is this a real epidemic model?

No. Zombies are fictional, and this simplified model must not be used for health or emergency decisions.

References

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