Simplicity isn't the absence of complexity. It's the result of understanding a problem well enough to solve it cleanly.
Part 1 argued that faces are a uniquely good tool for axis co-discovery in multivariate data. This post covers the math: how we know when a built pipeline actually preserves the patterns a player would need to discover, using cycle-consistency, co-variation invariance, and rank-preservation metrics.
A human handed 500 job postings has ten minutes to find the scams. What if each posting became a face? This post makes the case for face-based EDA — what it does uniquely well (axis co-discovery and longitudinal calibration), and where a colored table beats it hands down.
No stakeholders, no deadlines, no Jira tickets. Just you and a dumb idea that might turn into something.
Limitations aren't obstacles to creativity. They're the structure that makes creativity possible.
The best developer tools do one thing well and get out of your way. A love letter to focused software.
Writing about what you're learning is the fastest way to find out what you don't actually understand.