About this Blog
I have long been interested in how signs and symbols carry meaning. A chart, like a carefully arranged exhibit, can pack information so the essential pattern becomes visible at a glance.
Hi, I am Yoram Gilboa. I work as an actuary. My job is to uncover the drivers and the hidden meaning inside large, messy datasets and present them so the audience can see what actually matters. I started this blog to apply the same discipline in public, focused on the US macro releases that arrive in volume from the Federal Reserve, BLS, and BEA.
The goal is simple: make the next ten minutes of your time as valuable as possible for understanding the economy. When the Fed or the statistical agencies release another mountain of numbers, I try to surface the contributions, the persistence, the revisions, and the patterns that are easy to miss in the headlines or the tables.
What you will find here
- CPI, PCE, and PPI releases with contribution and persistence analysis
- Jobs reports (BLS and ADP) with sector and breadth detail
- FOMC decisions, minutes, and the dot plot
- Occasional technology and AI pieces (for example, open-weight models)
Charts are the main tool I use to surface patterns that are easy to miss in tables or headlines. I also use AI agents to automate much of the production pipeline, which frees up time to improve the figures, refine the writing, and make the posts more approachable to a broader audience. Most posts include the full Python code so the analysis remains reproducible.
Elsewhere
- GitHub: YoramGilboa
If you have a question or a comment, I would like to hear from you: contact@gilboa.blog.