A visual look at using technology in school based on the article:

This framework can be used to evaluate the sustainability of a country's debt profile. The dynamics generated are based on the interaction and feedback between a government agent, a rating agency and the financial market in a stock-flow consistent manner.

The limits to growth structure is based on the basic growth structure. And, as should be obvious, nothing grows forever as growth requires resources. Those required resources become a limits to growth. See also Archetypes.

From Excel to Insight Maker: Visualizing System Dynamics with AI

Spreadsheets revolutionized how we work with data - they made computation accessible and practical for everyone. But tables full of numbers often hide the bigger picture: the systemic relationships between variables.

What if you could see your spreadsheet not just as numbers, but as an interactive diagram that reveals how everything connects?

That’s exactly what this project demonstrates. Using ChatGPT 5.2, I transformed a traditional Excel model into a stock and flow diagram ready for simulation in Insight Maker.

Here’s how it worked. I prompted ChatGPT to:

• "Convert the attached spreadsheet into a stock and flow diagram to be imported as a JSON file into Insight Maker. Parameters (M11, M12, etc.) should be adjustable via sliders, time unit is MONTHS, and use Euler integration."

After a few refinements in the chat, I imported the generated JSON directly - no manual tweaks. The resulting diagram is shown here exactly as created by AI. It’s admittedly a bit rough, but intentionally so: it shows the raw potential of AI-assisted modeling.

The best part? The simulation output matched the original spreadsheet values exactly - validated in the "Table from Insight Maker" and "Validation" tabs.

This isn’t just a technical experiment. It’s a step toward making System Dynamics more intuitive and spreadsheets more insightful. By visualizing data flows and feedback loops, we can communicate complex models more clearly and make better decisions.

I hope this inspires you to explore similar integrations between spreadsheets, AI, and simulation tools. Have you tried something like this? I’d love to hear about your experiments!

Let’s push how we model, visualize, and communicate systems. If you find this useful, feel free to share and connect in LinkedIn.

📝 Full ChatGPT Conversation – See the prompt and AI workflow

📊 Original Google Spreadsheet – View the source data and validation

📈 Interactive Stock-Flow Model – Explore the diagram in Insight Maker

The model shows that indignation and repeated falsehoods about Russia’s intentions feed anti-Russian feelings. These, and distorted reports of Russian war crimes, can all safely be regarded as self-reinforcing. When people are caught in powerful reinforcing processes (self-amplifying loops), they develop a blindness towards the surrounding reality. However, other feedback loops also shape the perception and attitudes of the those in the grip of the delusion. Failed Piagetian accommodation of facts (too difficult to incorporate into propagandistic schemas) perpetuates the delusion. Another contributing factor is the inability to perceive anything that is not made visible via the obsessional and delusional lens provided by the false narratrive, impeding that reality to surface.  The illusion is also kept alive as  group pressure enforces conformity: anybody who dares to criticize the delusional precepts is likely to be branded a Russian sympathizer.

Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings.  We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.