Strawberry Causal Fields Forever

Proving (or Icarusing) a Unified Causal Field Theory—the Final Frontier of Causality

As cheeky as the title may be, what follows is quite serious.

Over the past year, my research into modeling democratic and cognitive collapse—driven by rhetoric, in-grouping, and disinformation—ran into a fundamental obstacle: recursive feedback loops. Or more precisely, the absence of any causal framework capable of modeling them rigorously.

These loops are central to everything from polarization to viral misinformation. Yet standard tools—directed acyclic graphs, statistical interventions, structural equation models—fail to capture their essence. I suppose I might’ve realized sooner that I was modeling a complex adaptive system before applying to Ph.D. programs unequipped to help. But I digress.

This isn’t abstract for me. The model I’m building is aimed at countering what I believe to be the greatest internal threat to American democracy in 160 years: tribalism and division.

And my stake in this isn’t just academic. I’m a veteran and a Jew, which means two things:

I swore an oath to defend this democracy—but the methods must evolve.

Liberal democracy is the only system in which Jews—and many others—have ever been safe, because it is built on the principle of protecting everyone, not just those in power.

That oath still matters to me. So I took it seriously. I chose rational self-interest. I attacked the problem like I needed cognitive CO₂ scrubbers and the ones in the LEM were shaped funny. Which is to say: I didn’t care what any method was originally designed for, only what it could do.

So I went rummaging—through the Kuhnian drawers of science, looking for tools that fit together, regardless of discipline. The only requirement was coherence. I called this strategy radical methodological arbitrage.

Starting from first principles—not legacy theories—I pulled tools from physics, geometry, and dynamical systems. What emerged wasn’t a tweak. It was something larger: a Unified Causal Field Theory.

📜 Core Claims (Formal Proof Linked Below)

Causality ≡ Dynamics.
1. Causality is not a statistical abstraction, but a physical, geometric property of systems.
Legacy causal methods are projections.
1. DAGs, DiD, RDD, SCMs, and others are rigorously shown to be lower-dimensional shadows of this f

...

Posts

Wikitag Contributions

Comments