Return to main siteCould a very small population grow dramatically over many generations? Change the assumptions, follow the arithmetic, and compare the results yourself.
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It begins with eight founder characters, applies explicit birth, death, aging, household, migration, and event assumptions, then switches mature settlements to bounded cohorts so large populations do not create millions of browser objects.
Population arithmetic shows what follows from selected inputs. By itself it does not establish a historical founder count, chronology, migration route, or genetic feasibility.
Story mode includes educational milestones. Free Experiment mode removes story anchors so presets such as the One Child Challenge can succeed, stagnate, or fail on their modeled assumptions.
Runs are deterministic for an engine version, seed, and parameter set. Simulation randomness is isolated from visual animation. Mature regions use cohorts grouped by region, lineage, sex, age band, and abstract marker class.
Founders use a broadly ancient Near Eastern / Mediterranean art direction. Later visual variation is cosmetic only and never changes fertility, mortality, migration, or success. The model does not equate Noah’s sons with modern races or continents.
Active runs remain local to the application. Choosing Complete local run sends only a terminal aggregate summary—never individual people, yearly ticks, IP addresses, user agents, or biographies.
The simulation is built Wasm-first for predictable high-scale processing, while retaining Flutter’s generated JavaScript fallback for browsers that need it.
No. The map is a stylized educational route graph, not a claim about exact ancient borders or post-Flood paths.
Yes. Choose a preset and seed, complete a terminal run, change one variable or preset, and compare the resulting population and elapsed years.