Jason C Braatz

Been chewing on this one for months and it still gets me: a 100% tax can change absolutely nothing. Not a loophole, not evasion, not offshore anything. Just arithmetic.

Start here: if wealth grows by multiplying, it condenses. One holder ends up with everything. That isn't a flaw in some particular model, it's what multiplicative processes do. Which means every wealth distribution that isn't condensed is being opposed by something. Fine .. but by what? I stopped asking "which institution" and started asking about coordinates: base, rate, periodicity, threshold. And then one more that turned out to matter more than the other four put together .. realisation, the share of a period's gain your base can actually see.

Set realisation to zero and a 100% levy on flow leaves the wealth vector exactly unchanged, agent by agent. The rate never gets a turn. You can't tax what you can't see, and the rate is just a multiplier on nothing. The collapse from there is violently front-loaded too: the first five percent of the realisation axis covers 32% of the reachable range.

So the base caps the region and the rate only moves you around inside it. Everything reproduces from open code and 18 tests pin it down. Paper's here if you want it, it's 20 pages.

I pre-registered a test, ran it, and it killed my own favorite hypothesis. Then I ran it a second time to be sure it wasn't a fluke. Honestly the best thing that happened to this paper.

Here's the setup. Accounting research has spent decades ranking firms on "conservatism" .. how fast a company books bad news, and how much of that news sticks around. Two different properties: timeliness and durability. Everybody measures them. Nobody separates them, and it turns out you can't. That's the theorem. Two firms can behave completely differently .. one fast and forgetful, one slow and permanent .. and file literally identical numbers. Same series, same everything.

This is the part I want to be clear about, because it's the part people get wrong when I explain it at a bar: it is not a power problem. More data doesn't fix it. The identified set is a continuum, and every instrument the field currently uses is reading the product of two things and reporting it as one thing.

What survives is less than I wanted, but it's real, and §9 is where the registered test took my preferred reading of the null out behind the shed. Paper's here. Fair warning, it's 60 pages and it earns them.

The AutoSOTA paper is highly interesting, Li, et al decided to dispense with having a monolithic model and do a function-based approach, like how CrewAI works. I'd be interested in a counterfactual study: remove many of the guardrails and, with an intelligent enough model, provide it contours into the harness instead of hard stops. Would it revolutionize science? It may. MoE, as used here, is one approach, but I believe the team there over-constrained it because by default MoE is already constrained to a role, My thought experiment: use deterministic force functions to validate the result before accumulating it, acting as the ultimate guardrail, but leverage the non-deterministic LLM's capability to explore. Either way, it's a great paper, highly recommend reading it.