Fearing information leaks from Ukraine's Security Service, anti-corruption investigators couldn't use modern wiretaps. Instead, they resorted to old-school methods like physically locating targets and planting bugs. This highlights how state capture can cripple modern investigative tools, forcing reliance on riskier, analog techniques.

The rise of accessible prediction markets creates perverse incentives for individuals to profit from insider information or by directly manipulating events. Examples range from a special ops soldier betting on a mission to someone using a hairdryer to spike a temperature sensor, illustrating a new, "democratized" form of sleaze.

Traditionally, whistleblowers leak information about corporate or government malfeasance to journalists. Prediction markets create an alternative path: anonymously trading on that information to make a profit, undermining the public service function of investigative reporting.

The world's leading open-source intelligence collective didn't start with a grand mission for justice. Its founder, Eliot Higgins, taught himself geolocation skills simply to prove he was right in online debates about the Syrian and Libyan conflicts.

In Russia, nominally private companies like Gazprom function as direct extensions of the state. Their international investments are designed not just for profit but to achieve geopolitical goals, creating a system where foreign policy, business interests, and the personal wealth of the ruling class are completely inseparable.

The financial incentives of prediction markets create a vulnerability that foreign intelligence services can exploit. Just as the CIA reportedly leveraged China's graft system to recruit sources, adversaries could offer insider tips on market bets to cultivate and compromise individuals within the U.S. national security apparatus.

An anti-corruption group found that large, long-shot predictions on military attacks are correct 52% of the time. This improbable success rate suggests that a key winning group, aside from bots, are users with non-public, potentially illegal, insider information on geopolitical events.

While insider trading isn't new, prediction markets make it public and blatant. By creating a visible trail for bets on secret government actions, these platforms have inadvertently built a "corruption detector" that makes the problem too obvious for regulators to ignore, potentially forcing legislative action.

Sleeper agents are trained from birth in simulated American towns in Russia. To create a legitimate identity, intelligence services take the name and birth date of an infant who died shortly after birth, allowing them to obtain a valid social security card and passport.