How This Site Is Built

Build With Jamie combines public data, analysis, and practical experimentation. Each section has different goals — evidence, interpretation, application — and should be read accordingly.

What Data I Use

All charts and visuals come from publicly available sources:

• U.S. government datasets (BLS, Census, CDC)
• Academic and nonprofit research
• Platform transparency reports
• Widely cited industry and consumer surveys
• Public cultural signals (e.g. search interest, media coverage)

To the best of my knowledge, I don't use private, licensed, or proprietary datasets. If something slips through, it's not intentional.

How to Read the Charts

• Figures are aggregated and rounded for clarity
• Many visuals combine multiple sources; notes provided where comparability is limited
• Where relevant, I try to flag differences in age, geography, or methodology
• "Normal" reflects population-level patterns, not a standard to meet

The goal is pattern recognition, not prediction.

What This Is Not

• Financial advice
• Medical advice
• A forecast or performance guarantee
• Based on private or paid measurement systems

On Interpretation

Some sections (like Pop Culture Pairings) use qualitative frameworks, not automated scoring. Read them as cultural analysis, not causal claims. Be aware of limitations. Signals can be noisy: search spikes can reflect memes, stock moves can be macro-driven, and Wikipedia pageviews can jump for unrelated reasons. Treat the results as directional momentum.

Section by Section

Updates

This is a passion project, not a research institution. Pages get updated when I have time and when something interesting changes — not on a set schedule. AI helps me draft and build a lot of this content — and AI can make mistakes. If you spot something off, feedback is welcome.