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Cinematic Bay Area landscape at golden hour
[Bay Area image · landing in Phase 7]

Li Tan

谭李

Lin.

I write about measurement — and the quieter craft of turning messy signals into clear decisions.

BAY AREA SR DATA SCIENTIST WRITING SINCE 2020
Working at Opendoor
Writing about AI-native analytics
Reading The Book of Why
Based Bay Area, CA

The notebook · 笔记本

All essays →
  1. The Hallucinations Hiding in My Pipeline AI writes code that looks right. Sometimes it is. Often it is not. Your job is to catch it. The AI is only as good as you are at reviewing it. 3 min read
  2. Beyond A/B Testing: How I Analyze Real Product Impact Without an Experiment When you cannot randomize, causal inference still gets you closer to the truth. Here is my playbook. 2 min read
  3. From Insights to Actions The hardest part of analytics is not finding the insight. It is getting someone to act on it. 2 min read
  4. A Few Thoughts on DMA Tests Geo tests are one of the most powerful tools for measuring marketing lift. They are also easy to get wrong. Some notes from the field. 2 min read
  5. Is AI Ready to Replace Marketing Data Analysts? Every week another headline says yes. I use AI every day. Here is my honest take. 2 min read