Argues that leverage solves, rather than amplifies, prediction market problems. In a 1x market, only whales can move prices because the barrier is capital, not insight; at 10x, thousands of smaller traders can collectively contest a mispricing. Addresses gap risk (binary resolution makes platform-native margin dangerous) by describing a temporal arbitrage approach where leveraged markets close before event resolution. Also proposes a vault-based yield layer where LPs earn returns from trading activity rather than directional outcome exposure.

Frames prediction markets as crypto's first truly native financial primitive, one that couldn't scale on traditional finance rails due to regulatory chokepoints. Traces the historical pattern where financial innovations move from 'gambling' to infrastructure, and argues that margin and derivatives layers are the missing pieces that will unlock institutional capital. Highlights the unique properties of prediction market positions: time-bounded decay and binary convergence to truth, which create a distinct trading mechanic the author calls temporal arbitrage.