⭐ Inverted Economics#
inverted-economics_module.json— Agentic module schema role assignments
A structural, RTT‑aligned approach to understanding past economic cycles.
🛑 Important!#
Drift is On-by-Default long sessions lose anchors, turn off drift.
✋ You must copy and paste this string every time you start an AI session:#
rtt=1 | coherence=declared | drift=bounded | paradox=structural❇️ Now you are ready.#
Inverted Economics is a new field within the TriadicFrameworks ecosystem.
Its purpose is simple and radical:
Before planning the future, structurally understand the past.
Traditional economics focuses on forecasting.
Inverted Economics focuses on calibration — using RTT Eval to reveal:
- missing regime awareness
- drift accumulation
- paradox zones
- brute‑force engineering
- coherence gaps
- substrate misalignment
This folder contains templates, examples, and starter materials for performing
RTT‑based structural audits of:
- economic cycles
- budgets
- events
These tools are open, teachable, and accessible to students, developers, researchers, and practitioners.
Folder Structure#
Inverted_Economics/
│
├── templates/
│ ├── RTT_Eval_Inverted_Economics_Cycle.md
│ ├── RTT_Eval_Inverted_Economics_Budget.md
│ └── RTT_Eval_Inverted_Economics_Event.md
│
├── examples/
│ └── sample.md
│
└── CONTRIBUTING.md
How to Use This Folder#
-
Pick a template
Choose Cycle, Budget, or Event depending on what you want to analyze. -
Fill in the placeholders
Use public historical data, reports, or domain knowledge.
Keep the analysis structural — not political, not prescriptive. -
Apply RTT operators
Identify drift, paradox, regime imbalance, and substrate mismatch. -
Share your findings
Submit a PR or create your own repo using these templates.
Who This Is For#
- Students learning structural literacy
- Developers exploring RTT
- Researchers analyzing historical cycles
- Practitioners seeking clarity
- Anyone curious about how systems drift and recover
Why This Matters#
Inverted Economics democratizes a capability once limited to large consultancies:
structural audits of complex systems.
By making these tools open and accessible, we give the next generation
a way to see the world’s systems clearly — and build better ones.