Thinking About Thinking: A Designer's Guide to Fallacies and Biases

We like to believe design is rational: research in, decisions out. In reality, critiques are won by the loudest voice, data is read through what we already believe, and users choose based on defaults, frames and fears they never notice. This is a field guide to those invisible forces, written for anyone who makes things for other people.

Every post here starts as my own thinking. AI just helps me tidy the edges.