The Predictive History Method gives executives the framework to read the signal before the window closes. History doesn't predict. But it leaves a pattern — and that pattern is readable.
The Predictive History Method does not predict. It reads documented patterns against observable signals and asks: given what history shows about configurations like this one, what is the range of probable outcomes — and what is the decision that changes them?
Most organisations monitor each force independently. The Predictive History Method reads the compound pattern — where all three activate simultaneously — documented in every major disruption since 1973.
The structural forces — sanctions architecture, conflict zones, trade policy, currency cycles — that create the conditions. They move slowly, signal visibly, and are misread as background noise until they aren't.
How leadership teams respond — or fail to — when the signal is visible but not confirmed. Freeze, normalcy bias, and optimism bias are documented across every comparable event. The pattern is human, not situational.
Where the signal reaches the P&L. COGS first — energy, input costs, logistics. Working capital follows within 30–90 days. The preparation window is the gap between when the signal is readable and when it becomes unavoidable.
The diagnostic maps your exposure. The report translates it — in your sector's language, against documented historical outcomes, with named owners and specific deliverables on every dimension.
These are documented configurations — compound signal patterns that history has mapped to specific outcomes. The Hormuz closure activated on 28 February 2026 as the signal sequence indicated. Organisations inside the preparation window managed it as a planned event. Those outside it are making the same decisions now at 3–8× the cost. Three configurations remain open. The window is not permanent.
Click any configuration to expand
The Hormuz closure was listed in the PHM diagnostic at 48% probability over 12 months. The signal sequence — Brent above $85, JWC listings active, war risk premiums rising, US-Iran tensions at documented threshold — was visible in the signal environment for months before activation. Organisations inside the preparation window had pre-approved alternative routing, reviewed energy hedge positions, and stress-tested their EM exposure. Those that did not are making the same decisions now at 3–8× the cost, under pressure, with fewer options. This is the founding observation of the method, in real time.
On 28 February 2026, US and Israeli strikes on Iran triggered the closure of the Strait of Hormuz — through which 20% of global oil supply and the majority of Qatari LNG transits daily. The IEA has described it as the greatest global energy and food security challenge in history. Tanker traffic fell 95%. Brent crude peaked at $126/bbl. TTF rose above €60/MWh. The downstream effects — on who, by how much, and for how long — are now quantified by independent research.
The decoupling of semiconductor supply chains, technology standards, and digital infrastructure is no longer a scenario — it is an active structural shift. Organisations with Taiwan-sourced components, China revenue above 15%, or US-regulated technology in their products are inside this configuration now. The qualification timelines for alternatives run 18–36 months. The organisations that began that work in 2023 are executing it under normal conditions. Those that haven't are making the same decision under pressure.
DXY at 104.2 is approaching 105 — the threshold that preceded EM currency stress in five of six comparable tightening cycles since 1970. Organisations with EM revenue above 20% of total, EM loan book concentration, or USD-funded EM operations are forming the same exposure profile that produced 8–14% revenue compression in the 2014–16 cycle. The compound mechanism — simultaneous currency depreciation and volume compression — is documented. The preparation window for hedging and contract structure is open.
The 2022 energy shock resolved for many organisations through fixed-price contracts signed in 2021–22. Those contracts are expiring. TTF at €60+/MWh — above the threshold that triggered the 2022 BASF curtailment — means the structural conditions that produced the 2022 curtailments are present again. The pipeline flow reductions documented since Q3 2024 match the August 2021 signal. Organisations that hedged in 2021 and have not renewed their contract cover are re-entering the same exposure configuration their preparation in 2021 protected them from.
147 sanctions packages since January 2023 — the fastest expansion since the Cold War. The primary exposure is visible: Russian energy, Iranian oil, North Korean entities. The secondary exposure is not: correspondent banking restrictions, technology components with dual-use classifications, and logistics providers that touch sanctioned geography. The average compliance system update lag is 47 days. Transactions processed in that gap carry the exposure regardless of intent. The organisations getting this wrong are not reckless — they are operating on outdated screening architecture.
The Hormuz closure is not primarily an oil story for agriculture — it is a fertiliser story. Qatar is the world's largest LNG exporter and a significant ammonia and fertiliser supplier. Hormuz disruption breaks the ammonia feedstock chain. Combined with Brent above $85 (the documented feedstock cost threshold) and DXY at 104.2 (which compresses EM purchasing power for fertiliser imports), the 2027 planting season contract window is opening now. The organisations that locked 2022 fertiliser contracts in Q3 2021 paid 3× less than those that waited. The same window dynamic is operating in 2026 for the 2027 season.
DXY at 104.2 is 0.8% from the 105 threshold that preceded EM currency stress in 5 of 6 comparable cycles since 1970. Egypt, Turkey, and Pakistan are already in active stress cycles. The compound exposure most organisations are not modelling: EM sovereign stress and DXY movement are not independent variables. Treating them as separate exposures underestimates the compound impact by 2–3×. An organisation with EM revenue above 20% of total, combined with dollar-denominated supply costs, is inside a documented compression mechanism — the spread between their revenue currency and their cost currency widens as the cycle progresses.
Taiwan produces 92% of the world's most advanced semiconductors and 60%+ of all chips. A military action or blockade scenario would activate the single largest supply chain disruption in economic history — larger than any previous configuration tracked by the PHM Signal Index. The index currently scores this at 37.8 (Technology sector). It is the lowest current reading — and the configuration where the preparation window cost differential is largest: qualifying alternative supply chains takes 36–60 months under normal conditions. Organisations that are not inside that process now will not complete it before the probability window opens.
Is your organisation inside one of these configurations?
Run the Free Diagnostic — 12 minutes →17 sectors. 255 diagnostic paths. 309 documented historical patterns. The diagnostic maps your organisation's specific configuration — sector, region, function, and signal exposure — and produces a condition-specific result with the preparation window clearly identified.
Start the Diagnostic →12 pages. The six geopolitical signals active today, the compound pattern they are forming, and what history shows happens next to organisations in your configuration. No sales content.
60 pages. The complete framework in operational form — the six signals, the three domains, the Bulletproof Operating System, and the 90-day installation plan. Written for executives.
12-page diagnostic report for your organisation. Sector COGS benchmarks, signal-pattern mapping, dimension-by-dimension audit, 90-day task matrix, and named decision triggers.
Half-day or full-day. The pre-commitment register built from your diagnostic — named owners, trigger conditions, authorised responses. Your leadership team leaves with a documented decision framework.
Quarterly signal review and register maintenance. Maximum four clients. For organisations that want the Bulletproof Operating System running as a continuous institutional practice.
12 pages. The six geopolitical signals active today, the compound pattern they are forming, and what history shows happens next to organisations in your configuration.
No email required after download. If you want the method applied to your sector's current signal environment, the diagnostic takes 15 minutes.
In February 2022 I was running operations in Kyiv. The signals had been readable for four months. I had read them. That experience — making decisions in real time, under conditions where getting it wrong was not recoverable — is the origin of this method. Not as theory. Built inside the problem it was designed to solve.
The Predictive History Method documents what I learned across 30 years leading global organisations through disruption at Dell, Epsilon, and OYO Digital — across Europe, MENA, and Asia. Four volumes. The intellectual architecture is complete: the six geopolitical signals and how they compound; the psychology of why leadership teams with access to public information fail to act; how signals reach the P&L in a predictable financial sequence; and the five-step operating system for institutionalising pattern recognition before the next signal activates.
I am still inside it. The organisations I work with are navigating the same signal environment right now — the same cognitive pressure to wait for confirmation, the same preparation windows measurably opening and closing. I see the struggle, the regrets, the cost of decisions made too late. That is what drives this. Not research. Not consulting. Direct experience of what it costs to handle these situations without the right framework — and what it looks like when the method is running.
"I have been looking for a faster, lower-cost way to solve this problem — one that doesn't require a six-month engagement with a Big 5 firm, a team of analysts, and a report that arrives after the preparation window has already closed."
The major consultancies do excellent work. They also charge €500k for it, take six months to deliver it, and by the time the deck lands in the boardroom the signal environment has already moved. For the organisations that can afford that — fine. For everyone else, there has been no credible alternative. A framework grounded in documented historical patterns, calibrated to your sector, delivered at a cost that reflects what it actually takes to produce it, and available inside the preparation window while it is still open.
That is what the Predictive History Method is. Not a replacement for strategic judgment. A faster, more accessible path to the pattern recognition that makes that judgment executable before the window closes.
The complete methodology. Four volumes. The framework, the evidence, the operating system, and the case studies that document every major claim. Written for executives who need depth, not a summary.
Three episode types. Each applies the Predictive History Method to current conditions — the signal readings, the historical parallels, and what the pattern suggests for executive decision-making.
Deep-dive episodes on the intellectual architecture of the Predictive History Method. The three domains, the five signals, the operating system. For executives who want to understand the framework before applying it.
Monthly readings of all six geopolitical signals against documented thresholds. What is active, what is elevated, what has changed since the last episode. The compound pattern as it stands today.
Case study episodes. BASF 2021–22. Ford semiconductors. The 2014–16 DXY cycle. BNP Paribas. Each episode shows the signal sequence, the preparation window, and why the organisations that acted paid a fraction of the cost.