The field is structured uncertainty.
Chaerus makes its shape visible.

Derived from Chronos, Chaos, and Caerus

Chaotic systems resist precise prediction without becoming random. They move through patterns, thresholds, and boundaries that can be observed even when the exact path cannot be known. Chaerus tracks the geomagnetic environment and maps when current conditions structurally resemble windows that have historically preceded major events.

Not prediction. Not causation. Risk structure, made visible.

Chaerus

Chaerus

A Lorenz attractor visualization built on 25 years of solar, geomagnetic, and historical event data. Solar and geomagnetic data streams from NASA and NOAA run against ten event categories. The visualization shows when current conditions structurally resemble the windows that have historically preceded major event clustering.

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Caemira

The personal layer of Chaerus. Caemira maps the exterior state of the field to you — tracking when conditions outside may be amplifying what is already present within. Everything stays on your device, never shared or uploaded.

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The research makes no causal claim. No mechanism is established. What it shows is that the geomagnetic environment is not neutral with respect to when major events occur, and that the structure of that relationship is observable before the fact. That is closer to risk intelligence than prediction. The value is not certainty. The value is visibility.

About the research →

The Chaerus attractor is a work in progress. Updates to the algorithm, formatting, and historical database are being made as frequently as possible.

Chaerus is independent, unfunded, and not affiliated with any institution.