Symonic Research

Mission statement

What we study

Symonic Research produces rigorous, data-driven analysis of ternary signal structure: when binary observation is accurate, where it fails, and what conjugate-domain information is systematically dropped.

We focus on S₃—the term binary pipelines treat as noise or absence—and on frameworks that make that structure measurable across physics, biology, social systems, and model internals.

We collaborate with researchers and institutions working on formal measurement, epistemic propagation, and AI interpretability.

Capabilities

Core programs

• MCORE Ternary measurement framework with state space T = {−1, 0, +1}. Targets geometry in model weights and physical systems that accuracy-only metrics do not resolve. MCORE-1 algebra: 63/63 unit tests passing.
• Signal Series Public field notes on S₃, conjugate domains, and instrumentation—written for researchers who need durable language before the full paper stack. Series 001 includes an interactive measurement-gap explorer.
• Contagion Index SIR epidemiological modeling on 47M Reddit comments across 54 finance subreddits. 25/1,144 Granger causality pairs survive Benjamini–Hochberg FDR correction at p < 10⁻⁶.
• Sound and Uncertainty Uses the Gabor bound (σ_t × σ_f ≥ 1/(4π)) as a concrete proof that conjugate structure is traded away—not optional noise—in every time–frequency measurement.

Publications

Recent work

Research themes

Where we focus