What this episode is about

This episode starts with scoliosis research and statistics, which may or may not be what you signed up for. But it's connected—because the same person who ran exploratory factor analysis in SPSS is also the person who had a titanium rod fused to her spine and somehow ended up doing acrobatics in her forties. Same person, different container. The problem starts when you confuse the container with the human being, and when you start applying professional restraint everywhere because you're trying to sound credible instead of being credible.

In this episode

How approval voice works like regression to the mean, as in, your sharpest, most specific sentences get revised toward the average until they could belong to anyone. The contradiction of wanting your writing to stand out while safely blending in. Why AI is very good at helping you sound acceptable, and why "make this more professional" is basically an invitation to move your voice toward the middle.

What data storytelling and writing have in common. The topic doesn't make the piece original, your relationship to the topic does. A 2025 study on AI-generated college admissions essays that found human-written essays contributed more new ideas, and the gap got wider as the sample grew. The difference between professional voice ("what does this context require so the reader can trust me?") and approval voice ("how do I avoid giving anyone a reason to question me?").

HumanPrint homework

Do an approval audit. Take something you wrote or something AI helped you revise, and find where the language got safer but less specific. Pick one of those sentences and ask: What am I actually trying to say? What have I seen, lived, studied, built, or learned that gives me the right to say it? What would I say to one smart person who already trusts me? Rewrite from there. Before you publish this week, ask yourself: Did I make this more me, or more normal?