It’s an interesting observation. When you look at the forest you’re seeing a system of many interacting parts that each follow their own simple rules, and the overall result is something that looks balanced on the surface. If you tried to map every single leaf’s movement you’d get a lot of data that, if you’d had to sort it all out, would feel like a maze. The key is to focus on the macro‑patterns first—like the main axes of growth and light—then layer the micro‑variations on top. That way the chaotic bits become part of a larger, predictable structure rather than an obstruction. Think of it like a spreadsheet: the columns are the general rules, the rows are the individual exceptions, and when you use a formula you can pull a clear result out of the noise.