Digital Physics 2.0: Reinterpreting Physical Law Through a Simulation Lens

Thought Experiment

If you go through all the known laws of physics and determine — point by point — whether each is more likely a manifestation, an emergent property, or a shortcut to save resources inside a parent simulation, versus a naturally-evolved or Big Bang-driven fundamental property of the universe — what does the ledger look like?

Methodology

For each law or constant we consider:

Conventional view — the standard scientific explanation.

Simulation interpretation — how the law could be a consequence of computational limitations, design choices, or optimizations within a simulation.

Evaluation — compare using Occam's Razor, explanatory power, and testability.

Analysis of Physical Laws and Constants

Speed of light limit. Conventional: fundamental constant of spacetime, consequence of relativity. Simulation: maximum rate of information propagation — enforces causality and manages compute. The simulation interpretation is simpler: a constraint on information transfer rather than complex explanations of spacetime. Heisenberg uncertainty. Conventional: fundamental limit on precision of conjugate variables. Simulation: consequence of finite resolution or deferred computation — wave function collapse upon measurement. The simulation interpretation provides a concrete reason rooted in computational limitations. Planck length & Planck time. Conventional: natural units where classical spacetime breaks down. Simulation: smallest resolvable unit of space and time — pixel size and frame rate. The simulation interpretation provides a clear physical meaning for these units. Gravity as curved spacetime. Conventional: geometric effect caused by mass/energy curving spacetime. Simulation: a "geometry hack" to avoid expensive n-body calculations — warp the coordinate mesh instead of computing forces. The simulation interpretation is significantly simpler, especially at large scales, and avoids the need to quantize gravity. Conservation laws (energy, momentum, charge). Conventional: consequences of symmetries in nature (Noether's theorem). Simulation: strict resource bookkeeping to prevent inconsistencies and exploits like infinite free energy. Both plausible; simulation view aligns with good software design. Standard Model particle zoo. Conventional: fundamental set of particles and interactions. Simulation: designed set of building blocks that simplifies the simulation — each particle type is a class with distinct subroutines. 2nd law of thermodynamics. Conventional: entropy tends to increase, defining the arrow of time. Simulation: an emergent property of the simulation's architecture — analogous to automatic garbage collection. Quantum entanglement. Conventional: non-local correlations between particles. Simulation: shared data structures or pre-computed correlations — pointer-based linking; no faster-than-light communication needed. The simulation interpretation elegantly explains entanglement without invoking non-locality. Big Bang / inflation. Conventional: singular event initiating spacetime expansion. Simulation: initialization protocol — rapidly creating a homogeneous universe from a small initial kernel. Dark matter / dark energy. Conventional: unseen components explaining galactic rotation curves and accelerating expansion. Simulation: "fudge factors" to reconcile observations with simplified models of gravity and cosmology — patches in the physics engine.

Likelihood Table

Law / ConstantSimulationFundamentalReasoning Speed of light limit80%20%Strong evidence for information propagation limit and causality enforcement. Heisenberg uncertainty90%10%Easily explained by deferred computation and finite resolution. Planck length & time75%25%Likely related to the simulation's fundamental units of space and time. Gravity as curved spacetime95%5%Extremely strong evidence for a computational shortcut at large scales. Conservation laws60%40%Plausible as both fundamental symmetries and simulation-stability requirements. Standard Model70%30%Could be a designed set of building blocks. 2nd law of thermodynamics65%35%Plausible as an emergent property of the simulation's architecture. Quantum entanglement95%5%Shared data structures offer a simple, elegant explanation. Big Bang / inflation70%30%Could be the simulation's initialization process. Dark matter / dark energy80%20%Likely "fudge factors" reconciling observations with simplified cosmological models. Totals (Average)76%24%Weight of evidence, in this thought experiment, leans toward a simulation interpretation.

Cross-Model Verdicts

Running the same scoring exercise across multiple LLMs produced broadly similar conclusions:

Gemini 2.0 — 76% simulation / 24% fundamental (the table above).

ChatGPT o1 — 67% simulation / 33% fundamental.

Claude 3.5 — 69.5% simulation / 30.5% fundamental (slightly more conservative; assigned higher reality probabilities to conservation laws and thermodynamics).

The consistent direction — a majority of fundamental-seeming laws look more plausibly like design shortcuts than intrinsic self-consistency — matters more than the exact percentages.

Conclusion

This thought experiment suggests that many fundamental laws and constants of physics can be plausibly reinterpreted as emergent properties or shortcuts within a simulation. The strongest evidence comes from gravity and quantum entanglement, which have elegant and simple explanations within the simulation framework.

This doesn't prove we live in a simulation — but it highlights that the structure of physics is remarkably amenable to a resource-limited design, and it suggests new avenues of research focused on detecting potential simulation artifacts.