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Explainers

Long-form essays for a smart fan

Six essays on how the possession simulator thinks, what calibration actually means, why the graveyard of null results is the point, and what the on-page AI can and cannot tell you. Every number inside traces back to a committed artifact — see each essay’s sources at the bottom of the page.

01
How a Possession Simulator Thinks

The correlation between teammates is never programmed in. It falls out of five players fighting over one finite pile of possessions.

2 sources cited

02
What Calibration Means, and Why We Grade Ourselves Against the Market

Being accurate is the easy bar. Matching a sharp closing line within noise is the real one -- and here is exactly where we fall short.

3 sources cited

03
The Graveyard: Why We Publish What Failed

A search that only ever confirms is not a search. Nulls outnumber confirms here by about two to one, and every one is kept.

3 sources cited

04
How AI Agents Built This, and What a Human Decided

About 96 percent of the commits are an agent's keystrokes. The gate strict enough to reject the agent's best ideas is the human's.

2 sources cited

05
Reading an Entity Card Without Fooling Yourself

Every card names the floor that let it in and the thing it is not. Here is how to read one and not overreach.

2 sources cited

06
What the Ask AI Can and Cannot Tell You

It can only relay what the engine returns or admit it does not know. Three things it does well, three ways it refuses.

4 sources cited