AI-operated sweeps · human-owned judgement · every claim sourced · every miss recorded

Method

How the signals are graded, who checks them, and who answers for them.

The monitor is operated by an AI research pipeline. That is the reason to read this page: it sets out the rules the pipeline works to, the verification that stands between research and a grade, and the person responsible for the result.

01 · The problem

Conventional risk frameworks work until the moment they matter most.

Most professional risk analysis rests on assumptions that are rarely spoken aloud: that events can be understood one at a time, that the historical relationships between asset classes will hold, that volatility will revert, and that the consensus story about the world is broadly right about its shape. In stable periods those assumptions are good enough to produce useful analysis most of the time. They fail in the periods of structural change — when correlations that held for decades break in days and the story is wrong about the shape of the world rather than its details. The 1987 crash, the 1998 Russian default, 2008 and March 2020 were each a failure of this kind.

The clearest illustration comes from finance. The Black–Scholes model, the mathematics underneath most modern risk management, assumes smooth prices, constant volatility, liquid markets and stable correlations. In 1998 Long-Term Capital Management — a fund that counted two of the model's authors among its partners and had returned more than forty per cent a year — lost $4.6 billion in four months when the Russian crisis broke correlations the model treated as fixed. The model was not wrong in normal conditions. The partners trusted it beyond the evidence that it was breaking.

The lesson is not that models are useless; it is that models are tools with limits, and the discipline is knowing when the tool has stopped working. A method for reading the world therefore needs explicit machinery for detecting when the assumptions behind conventional analysis are starting to fail — and it needs the same machinery turned on itself, because an analyst who has formed a view will find every headline confirming it. This method is that machinery, written down so it can be checked.

02 · The four tests

Which events are structural, and which are noise.

Most events are noise: politically loud, structurally irrelevant. Each candidate event is put through four tests. Passing all four makes it high priority; passing none makes it noise; one or two means keep watching.

Reversibility

Could a change of government, a diplomatic agreement or a market correction undo it? Structural events are irreversible at the timescales that matter.

Multi-domain

Does it show up in several domains at once — markets, alliances, physical flows, institutions — or in only one?

Institutional

Does it require an institution to be created, dissolved or rewritten, or is it behaviour inside existing institutions? Behaviour is usually noise.

Reaction

How are sophisticated actors with something at stake responding? When conservative institutions change long-held positions, the signal is more reliable than the headline.

03 · The cluster rule

One signal flashing is normal. Several at once is the model cracking.

Twenty signals are watched across five categories. Each has an explicit activation threshold and is graded only on sustained movement, never on a single print. Individual signals are noisy; structural change shows up as several normal relationships breaking together — the pattern that broke LTCM and that conventional frameworks systematically underweight. The number of signals active, weighted for partial activations, sets the response.

Currency & dollar
Bond & credit
Commodity & physical
Equity & volatility
Geopolitical & structural

Three examples of the kind of threshold used: the dollar's share of allocated reserves falling below 55%; a high-yield credit spread widening by more than 200 basis points in a short period; a major Gulf producer leaving OPEC. The full signal library and its thresholds are the working material of the service and are not published.

Normal0–2 signals · weekly monitoring
Elevated3–4 · daily; document; review frameworks
High Alert5–7 · daily; document scenarios
Crisis Pattern8+ · conventional frameworks treated with scepticism

The highlighted tier is the current reading. The composition of the cluster — which categories are flashing — is reported alongside the count, because it is usually the finding.

04 · The verification pass

What gets checked before anything is graded.

What

Every claim that would change a signal's status or the cluster reading, and every claim of a kind that is costly to get wrong: a change of leader or government, a central-bank decision, a treaty or defence pact, an election result, a reserve, holdings or yield figure that moves a signal across its threshold.

Against what

Primary sources where they exist — the central bank, the statistics office, the treaty text, the official result, the filing — and otherwise two independent reputable reports. Where sources conflict, the conflict is recorded rather than resolved by preference.

By whom

An independent verification pass that has not seen the research strands, so the work is not grading itself; then the human owner, who reads the verification report before any grade is set and before the edition is signed.

What happens

A claim that fails verification is removed or marked unverified in the edition; a figure that cannot be confirmed is never used to move a status. Both outcomes are visible in the research notes behind each sweep.

05 · The human owner

One person is responsible for every edition.

PHOTO
TO FOLLOW

Philip Bennett

Founder, Nownet · author of the methodology

Author of Connecting the Dots: A Framework for Geopolitical Research Under Uncertainty (May 2026) and of the State of the World series, which has applied the method monthly since March 2026.

Founder of Nownet, a consultancy with a background in cybersecurity — the discipline of monitoring for the conditions under which systems fail — from which the signal framework was developed.

Sets the logic, verifies the high-impact claims, signs every edition and takes editorial responsibility for its contents.

06 · Sources policy

Every grade can be traced to a dated source.

Read the methodology paper (PDF) →