Welcome
meta
What this blog is for, and how it’s put together.
This is the first post, so it’s mostly housekeeping.
What I want to write about
The short list:
- Information theory — entropy, mutual information, channels, and what they actually buy you in inference and ML.
- Causal inference and econometrics — identification, estimators, the gap between “I have a coefficient” and “I have a causal effect.”
- Machine learning — methods I’m trying to understand well enough to explain, plus the occasional grumble about benchmarks.
- Physics — mostly statistical mechanics and the bits that overlap with information theory and probability.
How posts are built
Every post is a .qmd file — markdown plus executable code chunks. Math is written in LaTeX and rendered with KaTeX. Citations come from a single references.bib and are formatted in APA. The rendered HTML is built by GitHub Actions and served from GitHub Pages.
If a post claims something computational, the simulation that backs it up is in the same file and you can see the source via the </> Code button in the top right.
Comments / corrections
There aren’t comments yet (and I’m not sure I want them). For now, if you spot a mistake, open an issue on the repo.