The Pentagon's Pizza, Polymarket's Money

marsbitPublished on 2026-01-04Last updated on 2026-01-04

Abstract

Summary: During the Cold War, Soviet agents monitored late-night pizza deliveries to the Pentagon as an indicator of imminent military action, a pattern later dubbed the "Pentagon Pizza Index." In 2024, a Twitter account @PenPizzaReport automated this surveillance using Google Maps data to track foot traffic at pizzerias near the Pentagon, accurately predicting events like Israel's airstrike on Iran and the U.S. raid in Venezuela. Concurrently, on the prediction market Polymarket, three newly created wallets placed large, well-timed bets on Venezuelan leader Maduro's ousting, netting $630,000 just hours before the operation. This highlights a shift in how information is accessed and monetized: once a secret intelligence tool, predictive signals are now public, blurring lines between open data, insider knowledge, and speculative profit.

Written by: Wawa, Shenchao TechFlow

During the Cold War, Soviet agents had a routine task:

Counting how many lights were on at night in the Pentagon and how many cars were in the parking lot.

At the same time, they monitored another metric: how many late-night pizza deliveries were made.

The logic was simple. If a war was imminent, people would work overtime, and working overtime required food. The only thing that could be delivered to the Pentagon at 2 a.m. was pizza.

In 1990, a Domino's franchisee in Washington, Frank Meeks, told the Los Angeles Times a story.

On the night of August 1, his store delivered 21 pizzas to the CIA.

It was a single-night record.

The next day, Iraq invaded Kuwait, and the Gulf War began.

Meeks recalled that this wasn't the first time. The night before the invasion of Grenada in 1983, late-night orders at his store jumped from the usual 40-50 to nearly 100. Before the invasion of Panama in 1989, orders at three pizzerias in Washington tripled.

CNN's Pentagon reporter at the time, Wolf Blitzer, heard this story and said something that would be quoted repeatedly later:

"A reporter's bottom line: always watch the pizza."

This pattern later got a name: the "Pentagon Pizza Index."

During the Clinton impeachment in 1998, the White House ordered $2,600 worth of pizza from Domino's over three days. In December of the same year, when the U.S. military bombed Iraq, pizza orders on Capitol Hill were 32% higher than usual.

In 2004, Frank Meeks passed away at the age of 48.

But the observation he left behind lived on.

In August 2024, someone registered a Twitter account called @PenPizzaReport.

This account does one thing: uses Google Maps' "Popular Times" feature to monitor the foot traffic of several pizzerias near the Pentagon in real-time. District Pizza Palace, Domino's, We the Pizza, Papa John's—when each store is busier than usual, and by how much, can all be seen.

The account quickly grew to 80,000 followers.

Someone went a step further and created a website called pizzint.watch, automating the monitoring. The homepage of the website has an index called "Pizza DEFCON," ranging from 1 to 5, where 5 is peacetime and 1 is imminent war. It updates every 10 minutes.

What Soviet agents during the Cold War had to stake out and count, anyone can now see by opening a webpage.

At 7 p.m. on June 12, 2025, @PenPizzaReport tweeted: "Huge spikes in foot traffic at almost every pizza place near the Pentagon."

The attached image was a screenshot from Google Maps showing District Pizza Palace's real-time foot traffic significantly higher than usual.

At the same time, foot traffic at a gay bar near the Pentagon was unusually low. This is also an old indicator: if people at the Pentagon are working overtime, nearby bars will be quiet.

A few hours later, Israel launched an airstrike on Iran.

At 10:38 p.m. on June 22, @PenPizzaReport issued another alert: Papa John's foot traffic was abnormal.

An hour later, Trump announced that U.S. forces had launched airstrikes on Iranian nuclear facilities.

Alex Selby-Boothroyd, head of data journalism at The Economist, wrote on LinkedIn: "The Pizza Index has been a surprisingly reliable predictor of major global events since the 1980s."

Does the Pentagon know about this?

Yes.

Last October, Defense Secretary Pete Hegseth was asked about the pizza tracking account during an interview with Fox News. He said: "I'm aware of the account. I've thought about ordering a bunch of pizzas on a random night to mess with them."

A Pentagon spokesperson also responded, saying there is plenty of food inside the building—pizza, sushi, sandwiches, donuts—so no need for delivery.

But the orders still spike.

Rumors say that after the 1991 Gulf War, the Pentagon started spreading orders across multiple restaurants to avoid abnormal spikes at a single pizzeria.

But Google Maps doesn't care which store you order from. It monitors foot traffic for the entire area.

On January 3rd, in the early morning, U.S. forces raided Venezuela and captured Maduro.

After the fact, someone checked the records on pizzint.watch. Hours before the operation, the Pizza DEFCON had risen to level 4, with foot traffic nearly double the usual level.

@PenPizzaReport had also issued an alert.

But this story isn't just about pizza.

On-chain analyst lookonchain discovered that three wallets on Polymarket had heavily bet on "Maduro's ouster" just hours before the action.

These three wallets had several things in common:

They were all created just days before. They only bet on Venezuela-related markets. They had no other transaction history.

One wallet registered on December 27th bet $34,000 when the odds for "Maduro ousted by January 31st" were only 6%. Another bet $5,800, and a third bet $25,000.

By the time Trump posted on Truth Social at 4:21 a.m., the total profit for the three wallets was:

$630,000.

According to a report by The New Republic, the U.S. military had discussed the operation on Christmas Day. On December 27th, one of the wallets was registered.

Coincidence?

The Wall Street Journal estimated that the Polymarket markets related to Maduro attracted a total of $56.6 million in bets. Of that, $40 million was bet on him being ousted by the end of November or December, and all lost.

These three wallets bet on before January 31st.

But who are these three wallets?

No one knows. The on-chain addresses are public, but the people behind them are not. Polymarket operates on the Polygon chain, with servers outside the U.S.

U.S. Congressman Ritchie Torres said he would introduce a bill called the "Public Integrity Financial Prediction Markets Act of 2026," prohibiting federal officials and political insiders from betting on prediction markets.

But even if it was someone from the White House placing the bets, you couldn't prove it.

Some call this insider trading.

But others say, maybe they just looked at the Pizza Index.

Putting the timeline together:

1980s: Soviet agents staked out and counted pizza deliveries. This was a professional skill of intelligence agencies.

1990s: Frank Meeks told this pattern to journalists. It became an urban legend.

2024: Someone used Google Maps to turn it into a public website. Anyone could see it.

2026: Someone looked at this public information and made $630,000 on a prediction market.

By the way, The New York Times and The Washington Post also knew about the operation before it began. But both newspapers chose to hold the story. The reason was to protect the safety of U.S. troops, in line with "a long-standing American news tradition."

While traditional media was still debating whether to publish, the information had already gotten out.

Today, the old order of information is loosening. "Who knows first" is being redefined.

In the new order, information is scattered across various public data, waiting to be discovered, combined, and priced.

When the Pentagon's appetite becomes a global oracle, we realize:

The fog of war still exists, but it no longer smells of gunpowder; it might smell like pizza.

Related Questions

QWhat is the 'Pentagon Pizza Index' and how did it originate?

AThe 'Pentagon Pizza Index' is an informal metric that suggests a correlation between a surge in late-night pizza deliveries to the Pentagon and impending military action or significant government events. It originated from observations by Soviet spies during the Cold War, who monitored indicators like the number of lights on and cars parked at the Pentagon, as well as late-night pizza deliveries. The term was later popularized by stories from a Domino's franchise owner, Frank Meeks, who noted spikes in pizza orders before events like the Gulf War.

QHow did the @PenPizzaReport Twitter account and pizzint.watch website modernize the Pentagon Pizza Index?

AThe @PenPizzaReport Twitter account and the pizzint.watch website modernized the Pentagon Pizza Index by using publicly available data from Google Maps' 'Popular Times' feature. They automatically monitored real-time customer traffic at several pizza shops near the Pentagon, such as District Pizza Palace, Domino's, We the Pizza, and Papa John's. The website even featured a 'Pizza DEFCON' index, which ranged from 1 (imminent war) to 5 (peacetime), updating every 10 minutes to provide a public, automated warning system.

QWhat suspicious activity was detected on Polymarket related to the US military operation in Venezuela?

AOn Polymarket, a prediction market platform, three newly created wallets were identified placing large bets that Venezuelan President Nicolás Maduro would be ousted before January 31st. These wallets were created just days before the operation, only bet on Venezuela-related markets, and had no other transaction history. They invested a total of approximately $64,800 and profited around $630,000 after the US military operation resulted in Maduro's capture.

QHow did traditional media outlets like The New York Times and The Washington Post handle the information about the impending operation in Venezuela?

ATraditional media outlets like The New York Times and The Washington Post were aware of the impending US military action in Venezuela but chose to withhold the information from publication. They cited the reason as protecting the safety of US troops, adhering to a long-standing American journalistic tradition of not reporting on sensitive operations that could jeopardize security.

QWhat does the article suggest about the changing nature of information dissemination and 'who knows first' in the modern era?

AThe article suggests that the old order of information control is eroding. In the new era, critical information is often scattered within various public data sources, waiting to be discovered, combined, and priced by anyone. Publicly available indicators like the Pentagon Pizza Index and decentralized prediction markets like Polymarket can allow individuals to access and act on information faster than traditional media or official channels, redefining 'who knows first' about significant events.

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October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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What is AGENT S

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