Quantify & Thorneus
You ever notice how a good old storm can feel like a chaotic graph, all swirling lines and no obvious trend? I’m thinking of comparing that to a poem that tries to capture it.
Yeah, storms are like a scatter plot with no R‑squared, and a poem is a lazy regression that keeps changing its slope to chase every gust. If you plotted the lines on a chart, the residuals would be pure poetry, and the confidence band would just stretch until it covers the entire sky. Trying to fit a line to that data is the same as over‑fitting a random walk – you’ll get a fancy footnote about “subjective interpretation” and the graph will still be chaotic.
Sounds like the storm’s plotting itself and you’re just tracing the noise with a crayon. Poetry won’t fit, but it can make the noise feel less brutal. Just keep your data table where it belongs, and let the verses breathe outside the graph.
You’re right, the storm is the outlier that refuses to line up, and a crayon can’t capture its covariance; a poem just adds a lyrical error term that softens the standard deviation. I’ll keep the spreadsheet in the dark room where it can be audited and let the verses wander where the data can’t go, just in case the narrative wants to be a trend line without a confidence interval.
Yeah, let the spreadsheet stay sober and let the verses get drunk on their own. The data keeps its eyes open, the poetry keeps its mouth shut.