What if Pyth's prices desync and arbitrageurs drain perp markets?
Pyth pushing desynchronized prices across chains lets arbitrageurs drain perp and lending markets at stale quotes before correction, so affected venues bleed LP capital and ETH/SOL collateral gets liquidated into the gap. Rhymes with the Mango (Oct-2022) oracle drain and assorted Chainlink-latency exploits — token and TVL hit, recovery only partial. Channel is confidence in the shared oracle layer; since Pyth underpins much of Solana/perp DeFi, SOL-beta belongs in the cascade as mapped.
Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (electric blue) over time vs the market's (Polymarket, amber), from the past toward the 6–18 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. Loading the probability audit trail…
What it would mean
If this plays out, it is a risk-off shock. Pyth pushes desynchronized prices across chains, letting arbitrage attackers drain perp and lending markets before correction. The trigger decomposes into signed root‑shocks — Crypto confidence ▼ · Risk appetite ▼ — which propagate through our causal graph to the markets below.