pointofμ is an independent data journalism project. I run my own surveys, buy datasets, file FOIAs, and analyze public records, then turn the results into short stories and 42-second videos.
Every claim is sourced. Every dataset is documented. Every chart can be reproduced from the raw data, which I publish for free.
The μ stands for micro, small samples, big patterns.
By day I work as a data scientist in big tech, specialising in measurement, specifically ads measurement and ML-based causal inference. The job is about knowing what actually moved the needle, and being honest when you can't tell.
The rest of the time I build systematic macro strategies, the carry, trend, value, and low-beta kind, a hobby that started in a university economics class and never quite stopped. pointofμ is where the measurement instinct meets the macro curiosity: rigorous method, stories anyone can read.
I also have a habit of putting actual numbers behind the hot takes swirling around the internet. Not to win arguments, but to find out which ones hold up.
I publish all the code and data because the whole point of showing your work is that someone else can show you where you got it wrong.
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