collinnerdahl

@primefold.bsky.social

I uncover hidden patterns, connect ideas across disciplines, and build tools that help people navigate an increasingly complex world. collinnerdahl.com

The tell that you're still judging a new thing by the old thing's yardstick is that you can only describe it as: • "X, but faster." • "Like Y." • "A version of Z." • "Except..." Those words aren't explanations. They're diagnostics.

You can build a machine to catch your own mistakes. Logs, checklists, red teams, audits. It gets good at catching the errors you already know to look for. It can't answer if any of it matters to anyone, You need another mind. You can't audit your way to that. You have to be seen

Five million backtests. Two thousand candidate edges. Eighty survivors. You never see the graveyard. You see the clean setup after the dead versions are already buried. That is where false confidence breeds. The graveyard is the asset

People call it prompting, that's the wrong model. Prompting sounds like writing. It's closer to grammar. The structure matters more than words. Move the same instructions around, the model behaves differently. People think they're learning prompts. They're learning a language.

My AI agent reads its own failure history before every session. It's one section in the config file: the Mistakes Log. One line per mistake: date, symptom, correction, and whether we made it unrepeatable or just wrote it down.

The first question for a backtest is not how much it made. It is what a coin flip makes on the same market with the same exits. The baseline is not zero. Random entries on a trending asset inherit the drift and look skilled. Beating zero proves nothing. Beat random first

Anyone can screen ten strategies and report that seven look promising. That is not research. The base rate of a real, durable edge is low, so a pipeline where most candidates pass is testing too softly

Most backtesting advice gives you one hurdle: clear this profit factor, you have an edge. That bar was set for one test. I ran five million. At that scale, luck manufactures winners. A permutation test tells them from real edges. The graveyard is the asset. #PrimeFoldPress

I built over 2,000 calibrated candidate edges. Most died at the same gate. Worked in-sample. Held out-of-sample. Then failed one question: could random data with the same drift have faked this? The graveyard is the asset. The survival rate is the receipt

The rules you enforce hardest are the ones you never chose. They came from someone else's worst year. Handed down with the rule intact, the year removed. The behavior survived. The reason it existed did not.

A 3.0 profit factor usually means a story, not an edge. Three questions separate them: Did the rule see data it wasn't built on? How many did you try before it "worked"? Does it survive shuffled returns? Miss one and you're trading a coincidence

The letter written, never sent. The application filled out, never submitted. The painting finished, shown to no one. Each one is complete. None of them ever met anyone. Finishing was never the hard part

Most of your financial behavior was already running before you named it. Not taught. Absorbed. Before you had language for it, you were already carrying the rules. You are not a rational actor. You are a carrier