Prediction markets often struggle with fairness—but what if they borrowed playbook strategies from traditional sports?

Think about it: sports leagues have spent decades refining systems to keep competition balanced. Resolution mechanisms? Conflict prevention? Anti-manipulation safeguards? They've got it down to a science.

Why can't prediction market platforms tap into this institutional wisdom? Clear rules, transparent governance, dispute resolution frameworks... these aren't new concepts. The infrastructure already exists elsewhere.

The question isn't whether fairness is achievable in prediction markets. It's whether platforms are willing to adapt proven structures from mature industries. Sports leagues figured out how to scale trust at massive volumes—there's plenty to learn there.