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 stays in balance. 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.This is the one cost, J(x) = ½(x + 1/x) − 1. It touches zero only at perfect balance, a ratio and its flip (2:1 and 1:2) cost exactly the same, and it blows up at either extreme. The ball always rolls to the bottom.
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.
Jonathan Washburn
Lead Scientist & 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. Leads the research program and writes the theory, the proofs, and the code.
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.
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. Physics, University of Utah
General-relativistic astrophysicist working on compact objects and black-hole mimickers: gravastars, dark energy stars, and rotating anisotropic relativistic stars. First-author papers in Physical Review D and Classical and Quantum Gravity, with collaborators including Paolo Gondolo and Emil Mottola. Earlier work: first-principles modeling of perovskite photovoltaics and fullerene superconductors.
Dr. Bhaskar Roy Bardhan
Research ScientistPh.D. Physics, Louisiana State University · Postdoc, MIT
Quantum information scientist with 15+ years across academia, industry, and defense: quantum error correction, quantum communication capacities, and near-term quantum algorithms. Led Ford's quantum computing team on optimization for mobility and manufacturing, held research roles at Xanadu and Raytheon BBN, and published in Nature Photonics, Physical Review A, and IEEE Transactions on Information Theory. Co-author of a forthcoming book on continuous-variable quantum computation.
Dr. Shannon Ray
Research ScientistPh.D. Physics, Florida Atlantic University
Theoretical physicist in quantum information, quantum photonic processing, and computational geometry, with a background in general relativity. Former Air Force Research Laboratory postdoc and National Research Council Fellow; first-author work in Entropy (featured), Physical Review A (Editor's Suggestion), and Classical and Quantum Gravity, spanning quantum entropy measures, photonic device characterization, and isometric embeddings for numerical relativity.
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. 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.
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)
In review
03What's new
News
New papers, accepted results, milestones, and the occasional experiment that worked. The record as it happens.
04Where we're pushing
Open research
Beyond the published record, here's where the work is live right now. Some of these already have results; all of them keep an honest line between what's proved and what's still open.
Fusion
An active line of work applying the framework to plasma control for fusion, in collaboration with university groups.
Protein folding & drug design
An active line of work on protein folding and therapeutic design from the framework.
Native intelligence
An active line of work building a recognition-native intelligence.
Recognition gravity
Einstein's equations recovered from the ledger in the slow limit, plus a small golden-ratio correction that tracks how galaxies actually rotate with no dark-matter dials. The strong, quantum version is being written.
The Bekenstein–Hawking coefficient
Why a black hole's information is exactly a quarter of its surface area. In three dimensions the number of corners around a pixel is four (proved); pinning the absolute scale is the open part.
The baryon-to-photon ratio
Why the universe holds roughly a billion photons for every atom. Three independent routes land on the same golden-ratio rung and a proved band around the measured value; the exact prefactor is open.
The δ framework
All of mathematics rebuilt from one move: telling two things apart. Counting and logic come out as two constructions on the very same object, which is the distinction → recognition step the roadmap now starts from.
Holography
The thin slice a mind actually reads versus the full ledger that exists: how much of reality a recognizer can access, and the area law that bounds it. Shares its floor with the black-hole result.
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
05Don'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 balance record, 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 17,929 theorems breaks, the build fails for everyone watching.
2,473 Lean files and 356,000 lines of proof, built on Lean 4 + Mathlib. One command rebuilds the library and re-checks all 17,929 theorems 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 balance conservation build the-moral-law # re-check the entire library for gaps and hidden assumptions audit everything # → no gaps, nothing of ours snuck in
06The 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 violate the balance law, 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.
07What 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.
08Where to find us
Events
Seminars, conference talks, lectures, and meetings. Upcoming and recent appearances land here.
09Everything else to read
Library
Resources beyond the journal papers: plain-language explainers, the proof code, technical notes, a book, and the instruments you can run yourself.
Plain-language reads
The framework without the mathematics: what math really is, what economics is and its shared blind spot, and what stories really are.
The proof library
Every derivation as machine-checked Lean 4 code, plus a plain explainer of what "a computer checked it" actually means.
The publishing roadmap
The whole program as one dependency graph: what's proved, in review, or still to write, and exactly what each result rests on.
Big questions, answered plainly
The twenty biggest questions the framework takes on, each in a paragraph, and a look at what a calendar counted from the framework's start would mean.
Manifestos & notes
Short technical pieces: the algebra-of-distinction manifesto, and the meaning manifesto that sits under the stories work.
The simulation lab
Run the rule yourself: watch an empty universe build itself from one difference, or try to break the balance law and watch it refuse.
Signed reviews (Pith)
Referee-style, signed reviews of every arXiv preprint, so you can see the work being picked apart in the open.