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EnglishWhat is chris-said.io?
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chris-said.io is the personal blog of Chris Said, a data scientist at Propel. According to the site, the blog is "mostly about statistics, technology, and science." It serves as a home for his written posts, with a selected list on the homepage and a full archive for older entries. If you're looking for applied statistics writing, technology commentary, or science-adjacent analysis from a data scientist's perspective, this is the site to browse.
What you'll find on the site
The homepage presents a short introduction followed by links to blog posts, organized into two groups:
- Selected Blog Posts — a curated set of posts the author highlights, some of which are multi-part series.
- Full Blog Archive — a longer chronological list of posts, including older and more niche topics.
The site also notes that Chris Said can be found on Twitter and LinkedIn, though the blog itself is the primary content hub.
Topics covered
The writing spans several areas, often overlapping:
| Area | Examples from the site |
|---|---|
| Statistics & methods | "Optimizing sample sizes in A/B testing," "Variance after scaling and summing," "Empirical Bayes for multiple sample sizes," "Instrumental variables analysis for non-economists" |
| Technology & data | "Upgrading to MathJax 3.0 after the Kramdown update in Github Pages," "Coronavirus and fragmented data pipelines," "The El Chapo model of AI containment" |
| Science & public health | "Small correlations can drive large increases in teen depression," "Why low sensitivity antigen tests are better than slow PCR tests," "A map of laboratory-acquired infections" |
| Policy & society | "Optimizing things in the USSR," "The case for criminalizing scientific misconduct," "You don't want luxury unemployment" |
The mix suggests a blog that moves between technical how-tos, statistical explainers, and opinion or analysis pieces on science and policy.
How to use the site
- Start with the Selected Blog Posts on the homepage if you want the author's own picks. Multi-part series are linked together, so you can follow a topic in sequence.
- Browse the Full Blog Archive if you're looking for something specific or older. Posts are listed with dates, which helps when you want to see how a topic developed over time.
- Check the dates — the archive includes posts from 2016 through 2026, so some material reflects the context of when it was written.
Who it's for
This site is most useful if you:
- Work with data and want practical statistics explanations (A/B testing, empirical Bayes, variance).
- Are interested in how data science applies to science, public health, or policy questions.
- Want to read a working data scientist's take on technology and research topics, rather than general news coverage.
If you're looking for a company product, a course, or a formal publication, this isn't that — it's a personal blog with an archive of posts. The homepage and archive are the main entry points.