HYDERABAD: As Friday the 13th approaches this week, a 66-year-old scientific paper is circulating again online, with some posts claiming it predicted humanity’s self-destruction on Nov. 13, 2026. The claim misreads the paper. Nothing is expected to happen on that date.
What the paper said
The article, titled “Doomsday: Friday, 13 November, A.D. 2026,” was published in Science on Nov. 4, 1960. Its authors were Heinz von Foerster, an Austrian-American cybernetics expert at the University of Illinois, and his colleagues Patricia M. Mora and Lawrence W. Amiot.
The team fitted historical population data to a hyperbolic growth equation. Under that equation, world population climbs faster and faster until it reaches infinity on Nov. 13, 2026.
The authors did not claim that people would die out on that date. They treated the result as a mathematical singularity and noted that physical limits, such as food, space and resources, would intervene well before it. They warned that future generations would be crowded, not wiped out, and wrote in a deliberately provocative, partly tongue-in-cheek tone meant to draw attention to runaway population growth.
Why the projection failed
The model assumed growth would keep accelerating. It did not. The global population growth rate peaked at roughly 2.1 percent a year in the early 1960s and has declined since, so actual numbers began diverging from the curve in the 1970s, not the 1990s as some recent accounts suggest. The world’s population is now estimated at about 8.3 billion, far below the paper’s projection.
Demographers attribute the slowdown to the demographic transition: falling child mortality, expanded education for women, urbanization, wider access to family planning and rising incomes. The global average fertility rate has fallen from about five children per woman in 1960 to roughly 2.2 today, less than half the earlier level.
Accuracy notes
Some popular retellings contain errors. Mora and Amiot were von Foerster’s research colleagues, not simply students. The declining growth rate is also better explained by broad socioeconomic change than by a single coordinated global decision.
Today the paper is cited less as a prophecy than as a classic example of how simple mathematical models can fit past data closely yet fail to capture real-world feedbacks. Experts say there is no reason for concern on Friday.