In an explosive interview, a data scientist known as “DataRepublican” is shedding light on what she claims is widespread corruption and financial mismanagement within the U.S. government. Working under the radar, she has utilized artificial intelligence (AI) to uncover billions of dollars in waste, fraud, and abuse. Her revelations have drawn the attention of high-profile figures, including Elon Musk, and have put her at potential risk.
Unmasking Government Waste
DataRepublican, an expert in database engineering and AI, estimates that over $100 billion has been misused or stolen. However, she argues that the bigger issue is how that money is being spent. “They’re using that money to shape governments and disrupt countries,” she explains. Her AI-driven research aims to make public government spending more transparent, exposing intricate political and financial influence networks.
“The problem with the databases is that they are like a gigantic book without an index,” she says. “What I did was create an index so people can actually find the awards and follow the money. Without AI, this wouldn’t be possible.”
Connections to Elon Musk and Dogecoin
DataRepublican gained unexpected attention when Musk amplified her work on social media. “I tweeted what I found, and then one day, Elon Musk tweeted, ‘Everyone should follow DataRepublican.’ My jaw dropped. I have no idea how he found me,” she recalls. While she does not communicate with Musk directly, she has engaged with individuals involved in DOGE and various government transparency efforts.
AI as a Tool for Political Transparency
Her AI technology has been instrumental in analyzing vast government data sets, including the Form 99-Z and thousands of pages of legislation like the Omnibus Bill. “We used AI to read 1,000 pages of the bill and extract key information that would take a human weeks to digest,” she says. Her work is now shifting toward mapping relationships between government officials, uncovering deep-seated political entanglements that span decades.
Bipartisan Corruption and Political Power Structures
Despite being known as “DataRepublican,” she asserts that her work is non-partisan. “Both parties are equally corrupt,” she says, explaining that political elites across the spectrum operate within a self-serving network. According to her research, Republican and Democratic factions have long collaborated under structures like the National Endowment for Democracy (NED), originally designed to combat communism but later evolving into a financial and political power machine.
“When the communism we were fighting fell, these organizations didn’t disband. Instead, they got bigger and more powerful,” she says. “Now, they operate as ‘protectors of democracy,’ but really, they’re just protecting their own interests.”
Revealing the Flow of Government Funds
One of her recent discoveries involves Norm Eisen, a political figure linked to organizations that influence public opinion and policy. “He runs an NGO called ‘States United Democracy Center,’ which took in $17 million in private donations. But when I looked into how they spent it, the only tangible thing I found was a knockoff Muppet show with less than 200 views,” she claims.
The Risk of Speaking Out
DataRepublican is acutely aware of the dangers that come with exposing financial corruption at high levels. “We had to change where we live entirely,” she admits. Despite the risks, she believes in her mission. “Sometimes, God calls you for a mission, and you must answer that call.”
A Call to Action for the American People
For those wondering how they can take action, DataRepublican suggests two immediate steps: researching government expenditures on her website, DataRepublican.com, and voting in primary elections. “The only reason these politicians stay in power is because voter participation is so low,” she says. “If people showed up in the primaries and held these officials accountable, we could clean house.”
Her ultimate goal is to return power to the people by exposing how government money is spent. “If they have no money, they have no power. If the money returns to the people, so does the power.”
As her AI-powered investigations continue, DataRepublican remains steadfast in her commitment to transparency, despite the mounting pressures and risks. “This is just the beginning,” she says. “We’ve barely scratched the surface.”
Disclaimer for the Article
This article is based on statements made during a News Nation interview with an individual who claims to be a whistleblower. The views and allegations presented are solely those of the interviewee, “DataRepublican,” and do not necessarily reflect the opinions of this publication, its affiliates, or any associated parties. While efforts have been made to present the information shared in the interview accurately, this article does not independently verify the claims made.
The content includes statements that may be speculative or opinion-based. Readers are encouraged to conduct their own research and seek professional guidance before drawing any conclusions. The mention of public figures, organizations, or financial activities is included for context and does not imply endorsement, verification, or legal determination of wrongdoing.
This publication disclaims any liability for any loss, damage, or consequences that may arise from the interpretation or use of the information in this article. Any concerns regarding factual accuracy or legal implications should be directed to appropriate authorities or subject-matter experts
“the only tangible thing I found was a knockoff Muppet show with less than 200 views,”
DataRepublican didn’t look very hard, and you should add a disclaimer to this article, because now Eisen is being libeled on X as a result of her article.
The vast majority of Eisen’s firm’s revenue is spent on working with state and local government on election issues, and the firm does pro-bono work, including writing amicus briefs.
You can find a lot of this work listed on their website, if you click on “resources.” They have 18 amicus briefs and 27 legal cases, plus fact sheets, etc.