What this episode is aboutEach data point represents one pixel of the human experience. That's a stats idea, but it's also a writing idea — the word is the pixel, and the human experience that generated it is what gives it meaning. AI can produce words without the human experience underneath them, which means the pixels are there but the picture might not be.

In this episodeWhat a scatter plot and a book coaching session have in common — and why the most important thing in either one is sometimes the outlier, not the trend. What it felt like to read individual survey responses from fellow scoliosis survivors in her own research data, and why the individual dots told twenty stories the trend line couldn't. Why when a book chapter feels "technically accurate but not actually mine," what's missing is almost always the same thing. The bulldozer questions that dig from message to root — and the moment when a client goes "oh damn, yeah, okay, now I get it" and the writing almost fixes itself. The Mata v. Avianca case as the most vivid example of what happens when all the right pixels are there but the human experience that should be generating them isn't.

HumanPrint homeworkFind a piece of your writing where something feels technically accurate but not quite yours. Ask the bulldozer questions: why does this matter to me, so what, why is this important enough to put in writing for strangers to read, do I have a personal story that actually connects to this idea? Dig until you hit the individual experience underneath the message. The trend without the scatter is just a line.