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The 1960 Prediction of Infinite Population Growth by November 13, 2026, Fails to Materialize

Прогнози 1960 року про безмежний ріст населення до 13 листопада 2026 року не справдилися. Photo: НВ — Техно

Earth’s Population Forecast for 2026

In 1960, a mathematical model was introduced forecasting that by November 13, 2026, the Earth's population would grow without limit. This model was created by Heinz von Foerster, Patricia Mora, and Lawrence Amiot. Their study, entitled 'The End of the World: Friday, November 13, 2026,' appeared in the journal Science. Using 24 population estimates spanning 2,000 years, the researchers assumed humanity’s growth rate could surpass exponential trends. They urged halving global birth rates to avoid disastrous consequences.

The publication attracted widespread media coverage, including from Time and The New York Times. However, some mathematicians and demographers criticized the model as unrealistic. Von Foerster’s equation became a reference in genetics, ecology, and demography textbooks. During the 1970s and 1980s, it was regarded as more accurate than many other demographic projections. Yet, starting around 1993, actual population figures began to lag behind the forecast. Today, the global birth rate is less than half of what it was in 1960.

Shifts in Population Growth Trends

Consequently, the predicted catastrophe on November 13, 2026, should not be seen as an apocalypse but as a reflection of shifting demographic patterns and declining fertility worldwide. Although influential, von Foerster’s model failed to predict these social and economic changes.

This case highlights the critical need for scientific models to adapt to evolving real-world conditions and socio-economic factors. The divergence between von Foerster’s forecast and actual data demonstrates that population dynamics are more complex than initially assumed, requiring continuous monitoring and adjustment. It also underscores the importance of cautious population forecasting and resource planning in light of societal transformations.