Mission Statement

Asifah Analytics — Est. 2025 · Last revised 5 October 2026

Who We Are

An independent, one-person project that watches open sources for converging pressure across the globe — and tells you why it matters.

We read a great deal of public reporting across a great many countries, classify what we find along several independent axes — rhetoric, kinetic activity, humanitarian stress, commodity and corridor pressure — and surface the places where those axes are lighting up together. Everything is drawn from free, publicly available sources, and every reading is traceable back to them.

The So What

A number on a dashboard is not analysis. Plenty of tools will tell you that a country scored 68 this week. Far fewer will tell you what that means, what would confirm it, and what would overturn it.

So every significant reading on this platform carries a so-what: what the signal is, why it matters beyond the country it came from, which historical patterns it resembles, and the specific observations that would confirm or deny the read. A single hot signal is a country story. Four axes converging on one country in the same cycle is a question worth asking — and the same patron losing ground in three countries at once is a different question again, one no country page can pose on its own.

Asking those questions is the point. Answering them is the reader's job, and we try to give you what you need to do it.

What We Watch

As of October 2026, five theatres — the Middle East & North Africa, Europe & Eurasia, Asia & the Pacific, the Western Hemisphere, and Africa — with roughly forty purpose-built country trackers and a wider set of stability and humanitarian pages beneath them.

• Rhetoric and escalation: who is saying what, at what level, measured against that actor's own baseline rather than an absolute scale
• Convergence: compound risks that exist only when otherwise-independent signals fire together — a humanitarian crisis, a commodity surge, and a structural import dependency on that commodity
• Patron networks: external powers tracked as hubs with rims of client and contested states, so a patron activating its network in several places at once reads as one finding rather than several unrelated ones — and, where the evidence supports it, whether that patron is gaining or losing ground
• Humanitarian and economic stress: displacement, food security, currency and market pressure, read alongside the strategic picture rather than after it
• Multilingual coverage: sources across English, Arabic, Hebrew, Farsi, French, Russian, Mandarin and others, to reduce single-language bias

How We Read It

These rules govern every number, chip and sentence on this site. They are the difference between a tool that is useful and a dashboard that is merely confident.

• Convergence, not prediction. Scores are composites of signal volume and severity. They are not probabilities that something will happen, and they carry no dates. We report what was observed; the reader completes the inference.
• “Unknown” is a state, never a silence. When a sensor cannot read something, we say so. We do not substitute a zero or a reassuring default. A gap that renders as calm is worse than no reading at all, because it is quotable.
• A real zero is not an unread zero. “We measured this and found nothing” and “nobody measured this” are different findings, and they are displayed differently.
• Absence is reported, not inferred. Countries without a tracker are absent from a regional read — they are not assessed as stable.
• Silence can be the signal. For actors that normally claim their operations, going quiet against their own baseline is read as a change in tempo, not as calm.
• Claims are labelled as claims. Much open-source reporting on contested theatres originates with interested parties. Where a reading rests on unconfirmed claims, we say whose claims they are and decline to treat them as established.
• Sources are linked. Every data point comes from somewhere public. We show you where, so you can check our work and disagree with it.
• No institutional bias. Independently built. Not affiliated with, endorsed by, or produced on behalf of any government, military, agency, employer or advocacy organisation.

How It Works

Three altitudes, each with a narrower lens than the one below it.

• Sensors. Per-country trackers scan public reporting on a short cycle and classify it against curated vocabularies — actor rosters, escalation ladders, red lines — built for that country specifically. Each emits a level per axis, plus the evidence behind it.
• Analyst. Regional syntheses roll those country readings into a theatre posture, gate out what does not clear the bar at regional altitude, and name the convergences that fired.
• Global. The Global Pressure Index reads all five theatres at once — the only altitude at which “are several patrons activating their networks simultaneously?” can be asked at all — and an archive records what changed, so that persistence becomes visible rather than inferred.

Red lines are event-gated: a hot vector alone is approaching, never breached. Thresholds require an observed event, named in the reporting, before they fire.

A Note on Limitations

Open-source intelligence has real limits, and we would rather state them than let you discover them.

• We read public reporting only. No privileged access, no closed channels, nothing a patient reader could not reach.
• Classification rests on weighted phrase matching against curated vocabularies, not on language models. It cannot read sarcasm, irony or implication, and it will sometimes match the wrong sense of a word.
• We are sensitive to coverage, not only to events. A quiet country may be quiet, or may be under-reported. We mark what we could not read, but we cannot conjure reporting that does not exist.
• Sensors are built one country at a time by one person. The map of what is covered is not a map of what matters.
• Nothing here is suitable for operational, safety-of-life, financial, legal or travel decisions.

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An independent personal project. Not affiliated with or endorsed by any government agency.