With April Fools' Day last week, it brought to mind a book I wrote a few years ago called Fake Physics. Around a third of the books I've written weren't actually my idea, but originated in a suggestion from the editors - and Fake Physics is in this category. It arose when an editor at Springer Books drew my attention to the ArXiv website, which is normally home to serious physics papers but has a tradition of publishing spoof papers on the first day of April each year. Some of the more fortean-sounding examples include "On the Influence of the Illuminati in Astronomical Adaptive Optics" (2012), "Conspiratorial Cosmology: the Case against the Universe" (2013) and "Astrology in the Era of Exoplanets" (2016).
I chose the title Fake Physics to echo the "fake news" that everyone was talking about at the time, but it's very much about fakery for the purposes of entertainment rather than deception. The scope is made clearer in the book's subtitle, which is "Spoofs, Hoaxes and Fictitious Science". In the latter category are science-fictional creations ranging from the carefully explained (but entirely made-up) Blackett-Dirac equations of James Blish's Cities in Flight novels to the throwaway technobabble - "subspace field stress" and the like - of Star Trek.
As for hoaxes - in the world of academic physics, their most common purpose is to catch out gullible editors while amusing fellow scientists. These include such things as littering papers with references to popular culture from Star Wars to Rick and Morty, or using an AI-style computer program to generate convincing-looking technical jargon. As an example of the latter, specially created for this blog post, I used an online tool called MathGen to produce a paper on abstract mathematics by Charles Fort and H. P. Lovecraft. The result is 9 pages long, highly academic-looking and incomprehensible in a thoroughly realistic way. I won't inflict the whole thing on you, but I'll attach a screenshot of the opening to the bottom of this post.
Perhaps the most amusing items in Fake Physics are the numerous scientific spoofs, whether done specifically for April Fools' Day or not. These include an entire book called Mathematical Modelling of Zombies, published by the University of Ottawa Press in 2012 and featuring chapters with titles like "When Humans Strike Back: Adaptive Strategies for Zombie Attacks" and "An Evolvable Linear Representation for Simulating Government Policy in Zombie Outbreaks".
Even the most upmarket journals aren't above printing the occasional April Fool piece. A case in point is Nature, which Wikipedia describes as "one of the world's most-read and most prestigious academic journals". In April 2015 it printed a short article called "Here Be Dragons", which begins as follows:
Emerging evidence indicates that dragons can no longer be dismissed as creatures of legend and fantasy, and that anthropogenic effects on the world's climate may inadvertently be paving the way for the resurgence of these beasts.The authors back up their claim with a graph - based on genuine, unaltered statistical data - showing a definite correlation between global temperature and the occurrence of dragons in fiction. This is an example of another category of "fakes" discussed in the book - ones that use valid data, but deliberately misinterpret it to humorous effect. There's a whole website devoted to such things - Tyler Viglen's Spurious Correlations - which is packed with bizarre relationships that his software has found while trawling through a vast database of statistical data. Here's an example, showing an indisputable correlation between UFO sightings in Massachusetts between 2011 and 2021, and patents granted to the Sony Corporation over the same period:
Despite the website's name, correlations like this aren't "spurious" - they're perfectly real. Where the error arises is in assuming (as is common among conspiracy theorists, for example) that, if two quantities are correlated, there must be a cause-and-effect relationship between them. As Viglen's strapline puts it, "correlation is not causation". If you go to the page where I found that graph, he gives a detailed explanation of what's shown, where the data came from, and what can and can't be deduced from it. You'll also notice that, just below the graph, he seems to imply that he's in the process of developing an AI that can fabricate its own explanations for all these correlations!
Finally, before I forget, here's the snippet from that maths paper by Fort and Lovecraft that I promised:










