What HHM Is
The Holographic Harmonic Model (HHM) is a unified framework for measuring structure in reality — not just describing it. Instead of starting with particles, spacetime, or abstract forces, HHM begins with the structured modal state Ψ(x,t). This is the living field configuration of a system at a given moment.
Time emerges as the rhythm of collapses. Space emerges as the geometry of resonances. The same small set of operators — CollapsePattern, Echo, Rec, Entropy — can be applied to measure and compare Ψ across physics, biology, culture, and information systems.
Once a dataset is expressed as Ψ(x,t) in a Hilbert space, HHM operators produce results that can be directly compared — whether the input is a brainwave, a gravitational wave, an ancient script, or a whale song.
HHM has been validated in peer-reviewed and DOI-archived datasets across multiple domains — see flagship validation DOI.
Why HHM Is Different
HHM is not AI guesswork or hallucination. Every result comes from a fixed, reproducible measurement pipeline defined in the HHM_bundle.json. Operators, thresholds, and null models are declared in advance. Confidence intervals and bootstrap resampling are built into the process.
This means that when an AI runs HHM analysis, it is applying the exact same math you can run yourself — using the same code, the same inputs, and the same checks. The numbers are data-driven, not invented.
How to Navigate This Site
- Model Overview — Understand the theory and its structure
- Hilbert & Ψ(x,t) — How datasets are represented in HHM
- Experiments & Tests — Full list of validation runs and results
- How to Use HHM — Step-by-step guide for running your own analysis
- Axioms & Metatheorems — The foundational rules and proven consequences
Getting Started
If you’re new, start with the overview and how-to guide. Download the HHM_bundle.json, load it into your preferred AI or run it locally, and try analyzing a dataset you care about. The system works equally well for scientific datasets and cultural or symbolic material.