My writing has moved through a few phases: campus reporting, data science tutorials, essays on tech and journalism, and now AI pricing. I started out in college newspapers covering academics, administration, lawsuits, and student government; later I wrote tutorials on Medium and essays on things like Community Notes, collaborative annotation, and the limits of using machine learning to score "media bias". That included pieces on why machine learning breaks down when it tries to measure media bias. I also wrote data science tutorials on topics like scraping Wikipedia page views, estimating virus exposure dates, and scraping SocialBlade for YouTube subscription data. These days I'm mostly writing about pricing, measurement, and the economic weirdness introduced by AI on anjalishriva.com.