Vaethra reads the world's public signals — conflict, shipping, energy, hazards, food, infrastructure, cyber — and shows what is breaking, what rests on it, and what breaks next. Every figure carries the source it came from.
Fig. 01 — the observation layer, live
Observation first, because a forecast built on unverified inputs is worse than no forecast — it converts a guess into something that looks like knowledge. Each layer is only started once the one beneath it can be checked.
Fig. 02 — the consequence layer, live
Four steps, run continuously. Each is documented in full — the methodology gives the formulas, the gates and the failure modes.
Most intelligence products ask to be trusted. This one publishes how often its signals actually preceded a confirmed event, scored against a null baseline, with the failures shown beside the successes. Where the sample is too small to support a claim, it says so rather than printing a number.
Every record is labelled by how it was established — direct measurement, official body, research-grade dataset, model output, or a single press report — so you can decide what to rely on rather than taking an aggregate on faith.
The organisations that assemble this kind of picture sell it for tens of thousands a year, which leaves most of the people actually exposed to disruption reading the same headlines as everybody else. The observation layer is free for that reason.
| If you | The useful part |
|---|---|
| Move physical goods | Route stress against each corridor's own baseline, and what depends on it downstream |
| Report on crisis | Attributed records with the publisher attached, and an accuracy record you can cite against |
| Research disruption | Full history, CSV and JSON export, and a public API |
| Carry risk | Cascade traces that show the path and the figure behind every step, so an exposure can be argued with |
| Are simply watching | One screen that says whether today is unusual, in plain language |