Volume I: Causality and Attraction
Contains the original RTLP and RTLDI framework.
Media / Political economy
The RTLDI Atlas: Mapping Capital Exclusion (Earlier edition)
Earlier RTLDI edition. The current atlas reports $19.29T in bounded annual capital exclusions (η = 0.36).
Historical briefing: this recording predates the corrected $19.29T estimate and operational η = 0.36. Its original figures are preserved as spoken; use the current Atlas and revised briefing for the corrected edition.
The briefing introduces the nine protection levers, bounded capital-exclusion estimates, public data, and policy surfaces that turn the first volume's human-enclosure model into an operational global instrument.
Terms in this film
Explore the same term in other films through the transcript glossary.
Continue into the research
Related work
Volume VI: Nested Causal Models, Maps, and Interventions
Examines the Atlas as an operational nested causal model.
Launch the RTLDI Atlas
Explore country scores, levers, data, and methods.
The corrected RTLDI Atlas briefing
Companion briefing for the corrected Atlas edition.
Read the video transcript
Published captions, with their original wording.
Welcome to the explainer. Today, we're diving into the RTLDI Atlas, an open-source toolkit mapping right to life protections.
Let's kick things off with a massive number, $15 trillion. That is lost global GDP, folks.
We call these capital exclusions. It's basically trapped money completely blocked from the economy because basic protections are missing.
So we'll cover the nine economic levers, how we calculate these exclusions, and the NGO Policy Advocacy Toolkit.
You know, these nine levers don't cost much annually. They actually act as massive force multipliers for economic velocity.
These levers are simple binary conditions. Either you have these basic right to life protections, or you don't.
Activating them brings all that excluded capital flooding back. The fix? Just pass and enforce the loss.
Right, let's move to the math. How exactly do we calculate these massive capital exclusions?
We find the lost GDP using a deficit index, enclosure strength, a conservative coefficient, and baseline GDP.
While raw regression suggests a higher number, we explicitly use a 25% cap to control projection volatility.
Then just multiply that GDP deficit index by the population and boom, you've got the total excluded capital.
So what does this all mean? Let's look at how NGOs actually use this for policy advocacy.
They do three things. Generate regional maps, share quick offline reports, and run scenario modeling for policy makers.
Since everything runs on open data from VDM and the World Bank, these policy arguments become totally undeniable.
Leading us with the trillion dollar question, which economic lever will your nation activate first to bring that capital back?