Gaurav Albal writes essays on AI agents, measurement, and trust in automated systems, using worked examples from TikTok growth data and a fictional inference-reseller fraud case. The issues show careful statistical reasoning about confounding and policy trade-offs in fraud decisions.

Data-driven articles that put numbers on public policy, environment and global questions, often with original charts and datasets. Readers get context on scale, such as how much tax levers could raise or how deforestation trends have changed.

Junk Charts critiques data visualizations and statistical claims, using frameworks like the Trifecta Checkup to examine charts, data and the questions behind them. Recent issues cover a reproduction of Pfizer Covid-19 vaccine trial analyses, a critique of a subway-stop closure analysis, and a flawed bar chart of top acquisitions.

Technical posts on working with SEC EDGAR filings using the EdgarTools Python library, including verifying financial claims, understanding feed quirks, and analyzing 13F holdings. Readers get working code and detailed explanations of data pitfalls in public filings.