The Physicist Who Claims He Has Mathematical Proof We Live in a Simulation

What if everything you see, touch, and experience isn’t real — but rather an extraordinarily sophisticated computer simulation? This used to be a philosophical thought experiment discussed in university seminars. Now it’s a hypothesis being taken seriously by physicists, and one British professor claims he has the mathematical proof. The evidence, once you look at it, is surprisingly hard to dismiss.

The Original Argument: Nick Bostrom’s 2003 Trilemma

In 2003, Oxford philosopher Nick Bostrom published a paper that reframed simulation theory as a formal logical problem. His argument was elegant: one of three things must be true. Either virtually all civilizations go extinct before developing the computing power to run ancestor simulations. Or virtually all sufficiently advanced civilizations choose not to run simulations of their ancestors. Or we are almost certainly living in a simulation right now.

The third option, Bostrom argued, follows from simple statistics. If even one advanced civilization runs thousands of simulations of earlier civilizations, simulated beings will outnumber “real” beings by an astronomical ratio. The probability that any given conscious entity is in the base reality, rather than a simulation, becomes vanishingly small. Bostrom’s paper was widely read, widely debated, and never definitively refuted. Elon Musk, when asked about it in 2016, stated flatly: “The odds that we’re in base reality is one in billions.”

Quantum Mechanics Looks Exactly Like Code

The most compelling physical evidence for simulation theory comes from quantum mechanics — specifically, the behavior of particles at the subatomic level. The double-slit experiment demonstrates that particles exist in a superposition of all possible states until they are observed, at which point they “collapse” into a single definite state. This is not a metaphor. Particles literally do not have definite positions or properties until measured.

To a programmer, this looks exactly like lazy rendering — a technique used in video games and computer graphics where only what’s being observed by the player is fully rendered, while everything else exists in a lower-resolution probabilistic state. The universe appears to behave the same way: quantum superposition keeps reality in an unresolved state until an observer interacts with it, at which point it renders fully. If reality were a simulation, this is precisely how you’d design it to conserve processing power.

“Particles don’t have definite positions until observed. To a programmer, this looks exactly like lazy rendering — only compute what’s being watched.”

The Planck Length: Reality’s Pixel Size

Every simulation has a resolution limit — a minimum unit below which the grid cannot go. In our universe, that limit exists. The Planck length (approximately 1.616 × 10⁻³⁵ meters) is the smallest meaningful unit of space. Below it, the laws of physics as we understand them break down. You cannot meaningfully ask what happens at scales smaller than the Planck length, because the universe doesn’t appear to have an answer.

Similarly, the speed of light functions as an absolute processing speed limit. Nothing can exceed it — not information, not matter, not causation. In computing terms, this looks like a clock speed constraint: the maximum rate at which the simulation can propagate updates through its grid. The universe has a hard-coded speed limit on causality, which is exactly what you’d expect in a system with finite processing resources.

DNA as Digital Code

DNA is a four-letter digital code — adenine, thymine, guanine, cytosine — that stores biological information in sequences, reads instructions, and includes error-correction mechanisms to prevent corruption. It is, structurally, extraordinarily similar to how computer code works. The parallel isn’t superficial: DNA uses redundancy coding (the same amino acid can be encoded by multiple codons), has start and stop sequences, and self-repairs errors using enzymatic proofreading.

Physicist James Gates Jr. discovered something that stopped him cold: buried within the equations of string theory are blocks of code identical to those used in browser error-correction software. Not metaphorically similar — mathematically identical. Gates, a serious physicist with no prior interest in simulation theory, described the discovery as “discovering computer code in the fabric of the universe.” He has not been able to explain it.

Vopson’s Second Law of Infodynamics

Dr. Melvin Vopson of the University of Portsmouth has gone furthest in formalizing the simulation hypothesis. In a 2023 paper published in AIP Advances, he proposed the “second law of infodynamics”: information entropy in isolated systems must decrease or remain constant over time. This is the opposite of thermodynamic entropy, which increases. The only context in which this makes intuitive sense is a system that is actively optimizing and compressing its own data — exactly what a computer program does.

Vopson argues that if reality were a simulation, the programmer would need to manage information efficiently — minimizing redundancy, optimizing storage, deleting unnecessary data. The second law of infodynamics describes a universe that behaves precisely this way. His paper has been peer-reviewed and published, though it remains deeply controversial among physicists who consider it mathematically interesting but not yet definitively proven.

What Mainstream Physics Says

Most mainstream physicists are skeptical of simulation theory — not because the evidence is absurd, but because it’s currently untestable. Science requires falsifiability: a hypothesis must be capable of being proved wrong. Simulation theory, as currently formulated, struggles to produce predictions that differ from those of standard physics. If the simulation perfectly mimics the laws of physics, there may be no observable difference from the inside.

Some researchers have proposed theoretical methods for detecting simulation artifacts — statistical anomalies in cosmic ray distributions, for example, or quantization patterns in the large-scale structure of the universe. None have been definitively detected. But the absence of detected artifacts doesn’t disprove the hypothesis; it may simply mean the simulation is well-designed. The question may be permanently unanswerable — which is, in its own way, the most unsettling answer of all.

“If the simulation is perfect, there may be no observable way to distinguish it from base reality. The question may be permanently unanswerable.”