Market Context by Polymarket

The Boeing at fault for South Korea plane crash? market on Polymarket prices the likelihood of each possible outcome as an implied probability. No currently leads at 100%, ahead of Yes at 0%. The market resolves on 31 March 2025.

Cumulative volume on this market is $346K. You can explore live prices, the full outcome list and trader positioning in the analytics above.

How this market resolves?

This market will resolve to "Yes" if an official investigation or court ruling by the governments of South Korea or the United States, or otherwise an investigation by Boeing or Jeju Air, determines that Boeing is at fault for the crash of flight 7C2216 in South Korea. Otherwise, this market will resolve to "No". If no fault is determined by March 31, 2025, 11:59 PM ET, this market will resolve to "No". The primary resolution source will be information provided by the stated sources, however a consensus of credible reporting will also be used.

Frequently Asked Questions

What are the current Polymarket odds for Boeing at fault for South Korea plane crash??

No leads at 100%, followed by Yes at 0%. Odds reflect live trading on Polymarket.

Who is the favourite on Boeing at fault for South Korea plane cras?

No, at 100% implied probability.

How does the Boeing at fault for South Korea plane crash? market resolve?

The market resolves on 31 March 2025. Shares in the winning outcome settle at $1.00; all others settle at $0.00. See How this market resolves? above for the official resolution rules.

How much money is on Boeing at fault for South Korea plane cras?

$346K has traded cumulatively on this market across 2 outcomes.

Can I see who is betting on Boeing at fault for South Korea plane cras?

Yes. Polymarket trades are on-chain, so positions are public. Use the holders and traders views on this page to inspect wallets active in this market.

How accurate are Polymarket odds?

Prediction markets tend to be sharper than polls when volume is healthy, because traders lose money for being wrong. Thin markets with little trading are less reliable — treat those prices as a signal, not a certainty.