Lee Jae-myung arrested before 2027?

The prediction market consensus for "Lee Jae-myung arrested before 2027?" stands at 16.3%.

YES contracts trade at 16.3¢, while NO contracts trade at 83.1¢.

With medium liquidity and $129,703 in volume, pricing reflects active market participation.

Resolution Criteria

This market will resolve to "Yes" if the Leader of the Democratic Party of Korea Lee Jae-myung is arrested or detained by law enforcement by December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

A qualifying arrest/detention includes:

• Being taken into physical custody by law enforcement authorities (including federal, state, local, military, or international law enforcement)
• Voluntarily surrendering to law enforcement authorities in response to an arrest warrant
• Being formally booked or processed following detention
• Being handcuffed by a state authority and taken to a police station
• Surrendering at a police station or courthouse with their attorney
• Being placed under house arrest or electronic monitoring

The following scenarios will NOT qualify as an arrest/detention

• An arrest warrant being issued but not executed
• Being questioned or interviewed without arrest
• Being named in an indictment without arrest

The primary resolution source for this market will be official information from the arresting government and law enforcement, however a consensus of credible reporting may also be used.

Market Interpretation

Prediction markets function as real-time consensus engines.

Traders continuously buy and sell outcome shares based on:

• breaking news
• macro developments
• public narratives
• institutional positioning
• probability reassessments

As a result, market pricing reflects aggregate trader expectations rather than static forecasts or polling systems.

At the current pricing structure:

• YES trades near 16.3¢
• NO trades near 83.1¢
• Implied probability sits near 16.3%

These probabilities may shift rapidly as new information enters the market.

Liquidity & Conviction Analysis

As of May 12, 2026 at 09:29 AM, liquidity conditions act as a primary structural filter on prediction market signal quality.

Medium liquidity conviction suggests moderate participation depth, where price discovery is active but not fully saturated by institutional or high-frequency flow.

Higher liquidity environments typically produce:

• tighter spreads
• faster price discovery
• stronger informational efficiency
• lower pricing instability

Lower liquidity environments tend to exhibit:

• wider spreads
• delayed consensus formation
• increased volatility from isolated trades
• weaker signal reliability in short time windows

Overall, liquidity acts as a direct proxy for how “stable” the implied probability surface is at any given moment.

Why This Signal Exists in Prediction Markets

Prediction markets function as continuous consensus engines where probability is not stated — it is priced.

Each trade updates a live belief distribution, turning scattered human judgment into a single evolving likelihood curve.

Compared to static polling or narrative reporting, this structure adapts instantly to:

• regime shifts in geopolitics
• macroeconomic shocks and policy changes
• institutional order flow and positioning
• narrative acceleration or decay
• liquidity-driven sentiment swings
• information asymmetry correction

In practice, these markets behave less like betting tools and more like real-time probabilistic sensors for world events.

They compress collective intelligence into a dynamic signal that updates with every transaction.

Market Structure Transition

As of May 12, 2026 at 09:29 AM, prediction markets have evolved into persistent global probability infrastructure.

Polymarket and Kalshi now operate as high-throughput probability engines, with cumulative volumes exceeding $150B+ and sustained monthly flow above $7B.

Market activity has shifted from episodic speculation toward continuous liquidity formation, where geopolitical events, macroeconomic narratives, elections, AI milestones, and financial expectations are constantly repriced in real time.

This transformation has turned prediction markets into always-on consensus surfaces capable of reflecting crowd intelligence faster than traditional media, polling systems, or institutional forecasting pipelines.