DHS Whistleblower Alleges Effort to Find Non-Citizen Voters Using Dubious Data
A DHS whistleblower claims there's a sweeping effort to identify non-citizen voters using questionable data, sparking concerns about election integrity.
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A whistleblower from the Department of Homeland Security (DHS) has raised alarms regarding a new "Unlawful Voter Initiative" aimed at identifying non-citizen voters across all 50 states. The whistleblower alleges that U.S. Citizenship and Immigration Services (USCIS) officers are being directed to illegally access state voter records, potentially violating state laws by misrepresenting themselves on government websites to obtain sensitive information. Critics claim that the initiative, launched weeks before the midterm elections, could impact hundreds of thousands of individuals, including naturalized U.S. citizens, by creating potentially erroneous federal law enforcement records.
Concerns also center on the quality of data being used, with the whistleblower stating that the DHS-provided information is unreliable and has been described by USCIS leadership as compiled with "supplemental magic". Despite these acknowledged flaws, officers are reportedly under pressure to meet daily quotas and create official records on individuals deemed "unlawful voters," even when the data's accuracy is questionable. This has led to fears that eligible citizens could be wrongly implicated, facing consequences such as increased scrutiny or criminal investigations.
The initiative comes amidst the Trump administration's ongoing efforts to address claims of widespread non-citizen voting, which numerous studies indicate is exceedingly rare. While DHS has defended its approach as a legitimate law enforcement measure to secure elections, Democratic lawmakers and voter advocacy groups are calling for an immediate halt to the program, citing serious threats to election integrity and potential abuses of power.
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- CNN: reports the DHS whistleblower's description of efforts to find non-citizen voters using dubious data
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