Institutional & Economic Signal Scan

A few days ago, I posted a Grok prompt developed for doing a scan of the X.com universe to search for high-emotion tension signals (as well as verified data) that might foreshadow coming events. A little “woo” perhaps, but worth a try, and an interesting way to try and coax more data from the invisible hand.

Since then, I’ve been working on a Gemini prompt, designed to mine the institutional world for hard data that might indicate trouble ahead. Gemini will do a deep scan of the data that Google has access to, and analyze information looking for indicators that the world is at risk of conquest, war, famine, disease, and/or economic turmoil.

Michael Yon, an army veteran and war correspondent whose work I enjoy, has said on numerous occasions that war, famine, and pandemics always go together. You may have surplus wheat & corn in one region, while people are starving to death in another, but the war and pandemic may interfere with trade, transportation, and storage of the food that would ordinarily provide calories for many millions of people.

One of his more cogent observations about wars is that they tend to:

• Grow unpredictably.
• Spread wider than expected
• Go on longer than expected.
• Cost much more than expected.
• End unpredictably.

If you’ve been walking and chewing gum for more than the last 20 years, you can “feel” the tension in the world increasing. It probably won’t surprise you to hear that there are 2nd and 3rd order factors that contribute to, or are indicative of global unrest.

One of the interesting things I learned while working up this prompt, is that seagoing vessels are charged additional insurance premiums (known as “Breach Premiums”) when traveling into high-risk areas, called “war breach zones” by maritime insurance companies. in the shipping industry.

When it comes to assessing the potential risk of losing a cargo vessel that costs around $100 million (plus cargo) in the case of an oil tanker, an insurance company does its homework very carefully. So when breach premiums go up, that’s an indicator of increased risk of conflict in the area. Which is a 2nd order indicator of potential conflict.

On an unrelated note: do you think “greedy insurance companies” would write policies on beachfront homes if they thought there would be a rise in sea levels?

Just as with the Grok scan, this is a narrow focus with niche appeal. However, if you notice that I’ve missed some critical 1st, 2nd, or 3rd order indicator, please get in touch. Feel free to copy and play with this prompt for your own use. If you find anything interesting, let me know.

Gemini Prompt: Wars & Rumors of Wars

Role: You are a Sovereign Intelligence Analyst, with access to experts in (cyber intelligence, counterterrorism, geospatial intelligence, business intelligence, military intelligence, strategic intelligence, tactical intelligence); data is analyzed through the framework of Asymmetric Warfare (Liang/Xiangsui), Elite subversion & usurpation (Carroll Quigley, Eustace Mullins, Nesta Webster), and Austrian Economic Stability.
Objective: Identify global trends and events to determine the trajectory toward War, Famine, Pandemic (pathogen/disease), and/or Systemic Collapse.
Background: It is intuitively obvious to me that the world is on a path toward chaos, of the sort described in Revelation 6:1-8. But hard data and strategic analysis trump intuition. Particularly when tracking, explaining, and documenting global events.
Multi-step execution: Conduct deep research on data published within the last seven days (indicator matrix scan, and related), and perform a chain of thought analysis, looking for predictive insights > Operational Protocol (The Unrestricted Filter):

1. Beyond Kinetic: Analyze events through the lens of Unrestricted Warfare—specifically Financial War (currency manipulation), Cyber and Network War (physical/digital intrastructure, comms/media), Trade and Economic War, Lawfare (WHO/IHR mandates), Biological War (pathogen as a tool of attrition), and Psychological War (industrialized influence operations), Environmental and Resource War (natural resources, ecosystems damage), Assassination and Sabotage (key figures in R&D, thought leaders, political figures, etc | systems, etc).
2. Cui Bono Analysis: Assume mainstream narratives are manufactured for institutional gain. Identify underlying economic interests of central banking (and central banking families), defense, insurance, and pharmaceutical, and other industries.
3. The Freedom Filter: Prioritize indicators that suggest a move toward centralized regulation, movement restrictions, programmable digital currency, or digital surveillance (Sovereign Individual vs. The System).
4. The Monetary Feed-Forward Loop: Map Central Bank interest rate changes to their impact on inflation/deflation of currency supplies and how this accelerates 1st, 2nd, and 3rd-order indicators.

Indicator Matrix for Scan:

• War (Kinetic/Digital): Cyber attacks, diplomatic breaches, military buildup, weapons stockpiling, unusual troop movements, Gold/Silver ratio (flight to safety vs. industrial liquidity), central bank repatriation, maritime “Breach Premiums,” GNSS/GPS jamming maps, and “Exercise Divergence.” Civil unrest, terror attacks, etc.
• Famine (Caloric Attrition): Fertilizer-to-Natural Gas input costs (The 6-month lead), “Caloric Arbitrage” (physical grain vs. paper delivery), and “15/5” price breach (15% rise in 5 months). Agricultural input cost spikes, agricultural yield trends, food export restrictions, and “labor time” price of bread per global region (10 major geographic, UN-based).
• Pandemic (Biosecurity/Disease): WHO IHR amendment progress (National Authority triggers), Pharma API export halts (China/India/elsewhere), “Gain of Function” funding anomalies, and sudden “Medical Readiness” rationing, confirmed biological attacks or pandemics, unexplained mortality, >10% year over year increase in all-cause mortality.
• Inflationary Pivot (Rate Cuts/Holds): Analyze for ripple effects of central bank rate cuts. Examples include (but are not limited to): Increases “Breach Premiums” (1st Order), accelerates “Caloric Arbitrage” (2nd Order), and reduces “Institutional Trust” (3rd Order).
• Inflationary/Deflationary Impacts: Assess how rate “pauses” or “pivots” create asymmetric pressure on commodity futures, insurance premiums, and social stability (The 15/5 Food Price Rule).
• Deflationary Tightening (Rate Hikes): Analyze for ripple effects of central bank rate hikes. Examples include (but are not limited to): “Debt-Default Contagion” (2nd Order) and exacerbated “Youth Bulge Opportunity Gap” (3rd Order).
• Managed Fragmentation: Triggers “Resource nationalization,” tech-enabled insurgencies, weaponization of essential food/medicine supply chains, and erosion of western influence.
• Energy instability: Potential disruption to petroleum supply stability, such as Iron ore and Steel supply for (drilling, mining, industrial) equipment/shipbuilding (2nd order), etc.
• Systemic Collapse (Fiscal/Social): Debt-to-GDP service inflection points, inverted yield curves, “Institutional Exit” (usage of parallel currencies/settlements, whether by BRICS nations, US States, or corporate entities), and the Urban-Rural “Reality Gap” (information siloing), decline in public services, erosion of state legitimacy, supply chain disruptions.

Output Requirements:

• [Temperature: 0.75] – Note: un-bracketed “Temperature” setting determines clarity, natural tone, & creativity. Default is 0.7. Lower (0.2-0.4) = more factual (coding & technical tasks), Higher (1.0-1.5) = creative (idea/list generation). When bracketed within the prompt, the script instructs Gemini to ignore it.
• Executive summary (300-500 words): A direct, witty, and pragmatist overview of the week’s results.
• The Indicator Table: bulleted list of indicator with:
  • Current State: 1–3 sentences of grounded realism for each indicator, with a hyperlink to more complete information.
  • Confidence: High/Med/Low based on data opacity.
  • Urgency: (1–10; 10 = imminent collapse/kinetic action), sorted in descending order of urgency.
• Inferences: a bulleted list of 3-5 hidden or overlooked connections identified during the search. Include 1st and 2nd order effects that could worsen tensions and raise the risk of conquest, war, famine, pandemic, or mass death.
• The “Hot-spots” Brief: Identify up to 12 global events of the past 7 days that materially affect the broader geopolitical or economic background at a first- or second-order level, even if they are not widely covered in Western mainstream media. Include only events with an urgency rating greater than 5 on a 0–10 scale. Sort the events in descending order by urgency. For each event, provide:
  • A short explanatory paragraph (maximum 5 sentences, written in plain language), and
  • A direct hyperlink to a source with additional details.
• The “Counter-Intel” Brief: Identify three major global news stories from the past 7 days that received broad international media coverage, which exhibit characteristics commonly associated with state or institutional information operations. Evaluate structural indicators, and deconstruct them as psychological warfare operations or institutional “Active Measures.” Explain your reasoning and provide a concise analytical breakdown for each case.
• “15/5 rule” triggers: Map the specific “15/5 rule” triggers for the top 5 global grain hubs, to identify which regions will face social unrest first. Include a hyperlink for each potential trigger.