Systemic Gaps in Market Regulation Enable Prediction-Platform Manipulation and Widen Wealth Inequities
Original framing: “The high price of insider information” — Financial Times
Marginalised traders, pensioners, and workers in the Global South are often excluded from the design of prediction platforms, yet they experience the greatest adverse impacts. Incorporating their lived experiences into policy design can correct systemic bias.
The manipulation of prediction platforms is not a simple case of rogue insiders but a symptom of entrenched regulatory gaps, data monopolies, and historic patterns of market exploitation.
By integrating indigenous stewardship models, cross‑cultural regulatory lessons, and rigorous scientific auditing, a multi‑layered governance architecture can redistribute predictive power and mitigate systemic risk. Participatory oversight bodies and public data commons empower marginalised voices while the trickster insight exposes the paradox of promised transparency that masks hidden hierarchies. Coordinated international action, backed by whistleblower protections, can transform the current profit‑centric paradigm into a resilient, equitable forecasting ecosystem.