This week I had a really thoughtful conversation with a coworker. So much of planning and modeling work happens inside contradictions.

We adopt climate targets while still enforcing minimum parking and protecting exclusionary zoning. We require farebox recovery for transit while highways are deeply subsidized. We say equity is a priority, but often cannot even use the word in federal funding agreements. We say we want data-driven decisions, but only when the data supports what is politically safe.

These tensions aren’t abstract. They shape what we’re allowed to analyze, what we’re allowed to recommend, what we’re allowed to publish, and sometimes what we’re allowed to say in the room. Complexity gets flattened because nuance feels risky. Uncertainty gets edited out because confidence is expected.

And yet, this is exactly where the real work lives.

Planning has always been about navigating constraints, tradeoffs, uncertainty, and imperfect systems. The challenge isn’t to eliminate complexity. It’s to be honest about it, to keep asking better questions, and to keep showing up with curiosity and humility anyway — even when the system doesn’t make it easy.

It’s a hard time to be a planner or modeler. But that might be a good sign — because we are dealing with the complexity instead of plowing highways through it.