Could an equation written in 1960 reveal when humanity will meet its end? A decades-old population study has attracted renewed attention because of the striking date in its title: Friday, November 13, 2026. But the math behind it paints a very different picture from the alarming headlines.

Published in Science, the paper was written by Heinz von Foerster, Patricia M. Mora, and Lawrence W. Amiot. It examined historical population estimates and projected what would happen if the pattern continued. Under that assumption, the model suggested that human numbers would approach infinity in 2026.

The crucial detail is the condition attached to the prediction: population would have to keep following the same mathematical pattern.

The researchers used a model of hyperbolic growth, in which growth accelerates so strongly that the calculated population becomes infinite at a finite point in time. This differs from ordinary exponential growth, which does not reach infinity on a particular date. An impossible result like this exposes the limits of extending a mathematical trend indefinitely; it does not establish a physical mechanism that will destroy the world.

Human population trends have also changed substantially since the study appeared.

In a September 30, 2026 article for The Conversation, Western University historian Alan MacEachern revisited the paper and its influence. He explained that its projections tracked population figures surprisingly well for decades, before actual numbers began falling behind the forecasts around 1993. He also noted that the global birth rate is now less than half its 1960 level.

Modern demographic projections offer a very different outlook. The United Nations’ World Population Prospects 2024 estimated that the global population would rise from 8.2 billion in 2024 to approximately 10.3 billion in the mid-2080s, followed by a gradual decline. These projections are uncertain, but they bear no resemblance to an infinite population arriving in November 2026.

MacEachern’s discussion also puts von Foerster’s experience as a stage magician into perspective. He presents the paper’s dramatic framing as an effective way of drawing attention to serious research—not as proof that its author manipulated the evidence. The provocative presentation helped an otherwise technical population study reach a much wider audience.

The enduring lesson is about how we read predictions. A precise date can sound convincing, but its reliability depends on the assumptions behind it. In this case, the historical growth pattern did not continue as projected.

November 13, 2026, therefore, represents a memorable date in the history of population modeling, with no sound basis in this study for treating it as humanity’s deadline.