When gamblers start altering the news: a death threat triggered by an Iranian missile

On the afternoon of March 10, 2026, an Iranian ballistic missile struck an open area outside the city of Beit Shemesh, near Jerusalem, Israel. A war correspondent named Emanuel Fabian quickly reported: “A missile hit an open area outside Beit Shemesh,” along with a video of the explosion at the scene. Rescue services confirmed no casualties.

Fabian is a military reporter for The Times of Israel, with years of frontline coverage of conflicts around Israel. His reports are known for accuracy and restraint, and are widely cited by the Israel Defense Forces, The Wall Street Journal, The New York Post, and other international media.

In Fabian’s view, such news hardly has any “breaking point”: in the current Israeli region, missiles launched by Iran are fired almost daily, causing property damage and casualties that might attract more attention. Incidents like this missile landing in an uninhabited area generally go unnoticed.

A report triggers death threats

However, a few hours later, he began receiving several emails from strangers. These emails used different languages and signatures, clearly from different regions, but the content was highly consistent: they asked him to change “missile hit an open area” to “interception debris fell.”

Fabian was puzzled. Out of professional integrity, he replied that according to military information, the hit was indeed the missile’s warhead, and the video showed a large explosion with hundreds of kilograms of explosives; debris could not produce such an effect.

He thought the matter was settled. But the next morning, he realized this was just the beginning.

Over the following days, emails from different time zones and with different signatures kept arriving, all with the same request: change “missile” to “debris.” As time went on, the tone of these messages grew more aggressive—polite inquiries turned into demands, even threats. Some emails directly mentioned Fabian’s family and address, implying they could “pay to get him.”

Even more absurdly, other journalists and media colleagues contacted him, hoping he would modify his report. After persistent questioning, one colleague finally admitted: “A friend of mine asked me to, and if I can persuade you, he will pay me.”

A single word worth billions of dollars in bets

Amid ongoing harassment, Fabian began to trace the motives of these individuals. Following clues from emails and private messages, he eventually found the source—a trading market on the prediction platform Polymarket:

“Will Iran strike Israel on March 10?”

By March 17, the trading volume on this market had exceeded $140 million. Thousands of accounts were betting on this question, using news, videos, open-source intelligence, and all available information sources to find evidence that could influence the settlement outcome.

The repeated request in those emails to “change the word” stems directly from the settlement rules of this market:

“If Iran launches drones, missiles, or conducts airstrikes on Israeli territory on the specified date, the market is judged ‘Yes’… Intercepted missiles or drones, whether they land in Israeli territory or cause damage, are not sufficient to determine ‘Yes.’”

In other words, if Fabian reports using the word “missile,” the market settles as “Yes”; if he changes it to “debris,” the settlement becomes “No.” Comparing the timing of the emails with the real-time odds of the market, those betting “No” could, if successfully persuading Fabian to change his report, earn 4 to 10 times their investment.

At this point, everything becomes clear. These individuals are not questioning the truth of the report; they are attempting to influence the report itself to sway the market’s settlement outcome.

They are betting not on how the war will be fought, but on how the news will be written.

The evolution of information sources: the moral crossroads of prediction markets

The reason prediction markets attract attention is largely due to their simple and direct logic:

Event occurs → Media reports → Traders bet → Probability changes

During the 2024 U.S. presidential election, this logic demonstrated the unique appeal of prediction markets: while mainstream polls were still debating whether Trump or Harris would win, the market’s implied probability of Trump’s victory had already exceeded 90%.

Since then, the public has increasingly regarded prediction markets as a more “honest” source of information, with some traditional media even citing their probabilities as references in reporting.

However, Fabian’s experience exposes a dark side of prediction markets that had never been touched before. Driven by profit motives, some participants no longer merely interpret information—they attempt to influence, distort, or even manufacture it.

This evolution is highly ironic: prediction markets, originally praised for “crowd wisdom revealing the truth,” may now become tools for spreading false information. If gamblers can threaten or bribe journalists to alter reports, prediction markets cease to be prophets of truth and instead become distorters of reality.

This not only poses an ethical crisis for prediction markets but also endangers the entire information ecosystem. When profit-driven logic infiltrates journalism, it becomes harder for the public to distinguish truth from falsehood, and journalists’ safety may be compromised.

The end of Fabian’s case may only be the beginning of a broader ecological shift

Fabian ultimately refused to compromise. But he admits that this persistence does not guarantee similar incidents won’t happen again. The involved platform, Polymarket, has delisted all the original daily-updated markets like “Will Iran strike Israel on a certain date,” and responded by “banning the involved accounts and handing over information.”

But that does not mean the issue is over.

Many similar markets still exist on Polymarket, such as “Will the U.S. or Israel attack Yemen before March 31?” with a settlement rule identical to the previous one, and a trading volume of around $100,000.

If the interests behind these markets are substantial enough, could similar pressure tactics reappear? If the next victim is a resource-limited, less protected journalist, what might happen? If someone makes different choices between money and risk, how much could a real event be quietly rewritten?

In the final paragraph of his original article, Fabian expressed a hope that is especially fitting to end this discussion:

“I sincerely hope that, in this new battlefield where reality, news, gambling, and crime intertwine, such incidents have not yet happened and will not happen.”