Recognition Physics Institute: one rule, everything else follows.
We don't ask you to believe it. Every claim is open, and a computer checks the proofs.
PhysicsMathematicsConsciousnessMoralityEconomics
We found one simple rule for how the universe keeps its books balanced. From that single rule (and nothing else) you can work out the particles, the forces, even what a mind is and what's right and wrong. We don't tune any numbers to make it fit, and a computer checks every step.
Being out of balance costs more.The ball always rolls to the bottom, the balanced point. That's the rule everything is built on.
Nature does not have free parameters, so our theories should not either. If you have to turn twenty dials to make an equation fit the data, you are describing the universe, not explaining it. We built this institute to find out what happens when you leave yourself no escape hatch. One rule. Zero tuned numbers. If a telescope sees an anomaly, the mathematics must answer for it. To keep ourselves honest, we write every derivation in a formal language and let a computer check the proofs. The machine does not care about reputation.
Jonathan Washburn, founder
01Who we are
A focused team, working in the open
Physicists, mathematicians, and a chemist building and checking the framework, paper by paper and proof by proof.
Dr. Elshad Allahyarov
Research ScientistDr. Sci. Physics & Mathematics, General Physics Institute RAS & Heinrich-Heine University Düsseldorf
Brings decades of expertise in many-body systems, plasma physics, and advanced materials science. Senior Scientific Researcher at the Joint Institute for High Temperatures of the Russian Academy of Sciences since 1988.
Dr. Sebastian Pardo Guerra
Research ScientistPh.D. Pure Mathematics, UNAM
Bridges abstract mathematical frameworks with Recognition Science principles. His work in category theory and graph theory provides foundations for understanding information flow and emergent behavior. Postdoctoral work at UC San Diego in applied mathematics.
Dr. Megan Simons
Research ScientistPh.D. Theoretical and Computational Chemistry, Southern Methodist University
Applies Recognition Science principles to molecular and chemical systems, integrating quantum chemistry with data-driven modeling. Explores how recognition-theoretic frameworks describe complex molecular interactions and spectroscopic phenomena.
Dr. Anil Thapa
Research ScientistPh.D. Theoretical Physics, Colorado State University
Investigates frontier particle physics through the recognition framework (connections between neutrino physics, dark matter, and beyond-Standard-Model phenomena), integrating effective field theory with first-principles structure.
Dr. Philip Beltracchi
Research ScientistPh.D. Astrophysics, University of Utah
Works on general-relativistic astrophysics: compact objects, rotation, and exotic equations of state. Previously contributed to computational solid-state physics and renewable energy research.
Dr. Margaret Johnston
Research ScientistPh.D. Physics, University of Nevada Las Vegas
Applies statistical methods to rigorously identify robust trends in population data. Their research in gravitational waves proposes a particle representation of gravity and identifies the resulting impacts to cosmological measurement.
Dr. Agnieszka Jaron
Research ScientistPh.D. Theoretical Physics, University of Warsaw
Brings 30 years of expertise in AMO physics, chemical physics, and computational physics. Associate Research Professor and PI at the University of Colorado Boulder (JILA) for 16 years, leading NSF- and DoD-funded programs and supervising 15+ PhD researchers. Recipient of the Alexander von Humboldt Research Fellowship, NATO Advanced Science Fellowship, and Max Planck Institute for Complex Systems Fellowship.
Dr. Roman Shugayev
Research ScientistFusionPh.D. Electrical Engineering, Purdue University
RF and plasma engineer whose work spans fusion reactor systems, semiconductor plasma equipment, and integrated quantum photonics. Built and operated the diagnostic neutral-beam ion accelerator at MIT's Alcator C-Mod fusion reactor, and has since led plasma-electromagnetics and quantum-sensing programs across national laboratories and industry.
Dr. Dylan Funk
Research ScientistFusionPh.D. Physics, Auburn University
Plasma physicist specializing in computational modeling, extended magnetohydrodynamics, and dusty plasma theory. Developed theoretical and simulation methods for dust charge in magnetized and strongly coupled plasmas.
Dr. Mihir Pandya
Research ScientistFusionPh.D. Physics, Auburn University
Fusion plasma physicist focused on magnetohydrodynamic stability and disruptions in tokamak and stellarator devices. His experimental work spans the Compact Toroidal Hybrid, the Madison Symmetric Torus, and the DIII-D National Fusion Facility, measuring the internal magnetic activity that precedes a plasma disruption.
Dr. Sajid Ahmed
Research ScientistFusionPh.D. Aerospace Engineering and Mechanics, The University of Alabama
Aerospace engineer and plasma scientist with expertise in magnetized low-temperature plasmas, diagnostics, and computational techniques. Designed computational models and integrated experiments to study instability-driven behavior and electron transport.
Emma Tully
Chief Operating OfficerLeads operations across the institute, from research planning and budgets to partnerships and the publishing pipeline. Turns open scientific work into finished, peer-reviewed papers and keeps the institute's people, funding, and timelines moving in step.
Jonathan Washburn
DirectorFound the one rule, starting from a simple thought: nothing can't even notice itself, so something (a difference) has to exist. Everything else grows from there.
02The record
Published & peer-reviewed
The work isn't a blog. It's in journals other scientists vet, and posted openly for anyone to read and pick apart.
In peer-reviewed journals
Open preprints (arXiv)
03Don't take our word for it
It's all public. Check it yourself.
Every proof lives in the open. If you read code, you can run it on your own machine and watch a computer accept each step, or find a hole and tell us. Either way, that's the point.
What's in the library
- 01
The whole chain. From "two things differ" to logic, the cosmic ledger, the one cost rule, the golden ratio, three dimensions of space, and the 8-beat: every link a theorem, none of it assumed.
- 02
The one rule, proved unique. Not "a rule that works," but a proof that no other fair way to price imbalance can exist.
- 03
The constants. The fine-structure constant pinned inside a window of less than a hundredth of a percent, and the measured value sits inside it. Planck's constant and Newton's G in the theory's own units.
- 04
Matter and gravity. The mass ladder for particles, and gravity strong enough to trace how galaxies actually rotate, with no invisible-matter dials.
- 05
The observer. A precise account of what it is to recognize something, and a proof that plain logic comes free with any recognizer.
What it claims, and how hard
- →
The laws of physics are forced, not chosen. Pull out any link and everything below it falls.
- →
It rests on zero assumptions of ours. Every theorem traces back to the same three foundations the rest of modern mathematics stands on, and you can run the audit that proves nothing else snuck in.
- →
Its numbers are predicted, not fitted. There is no parameter anywhere you could turn to make an answer come out right.
- →
And it's staked in public: if any one of the 5,397 theorems breaks, the build fails for everyone watching.
326 Lean files, built on Lean 4 + Mathlib. One command rebuilds the library and re-checks every proof from scratch. A public audit script guards the whole tree: zero unfinished proofs, zero axioms of our own, on every change.
# check that the one rule is the only one that works build the-one-rule # check the chain from "something exists" to 3-D space build the-whole-chain # check that right and wrong is keeping the books balanced build the-moral-law # re-check the entire library for gaps and hidden assumptions audit everything # → no gaps, nothing of ours snuck in
04The engine, running
Watch reality build itself
Reading the argument is one thing. Watching it run is another. We built the rule into an engine and pressed play on an empty universe: one difference posts, the cost lights up, the golden ratio falls out, then the 8-beat, then three directions, then structure. Nobody draws any of it. It's forced.
This is not an animation. The screen is only allowed to draw numbers the engine actually computed. Click any cell in the real run and it shows its receipt: the tick it appeared, what it cost, the rule it obeyed.
Two needles keep it honest. The balance needle must sit at zero forever. The cost meter may only climb. There's even a button that tries to cheat the books, so you can watch the universe refuse.
Also: join the engine running live · stand inside it in VR · try to break it · every instrument →
Space gets drawn only where it's forced.A flat sketch of the idea. The real instruments replay the engine's own per-tick record. The picture holds no physics of its own.
05What things actually are
The same one rule, asked about seven different things
Once you have the rule, you can ask it almost anything. Here's what it says, in one plain sentence each.