Laws of Ordered Form is a two part video work and a downloadable handmade dataset created by first taking thousands of photographs of images found in Victorian and Edwardian-era encyclopaedias and then manually reclassifying them. The work calls to attention how echoes of historic taxonomies and beliefs can still be heard in modern implementations of machine learning. By collapsing this moment of history with today’s current concerns around dataset bias, the piece emphasises the problems with classification without thought, and considers the histories that remain in our present, even within the latest technologies.