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DOJ sues to block Alaska from certifying Senate race winner if Republican narrowly loses
Federal attorneys say 2 candidates named Dan Sullivan could alter the result, and they cite ranked-choice vote totals as evidence of possible confusion.
- On Thursday, the Department of Justice filed a lawsuit to block certification of Alaska's Senate race if Republican Senator Dan Sullivan loses to Democrat Mary Peltola, citing potential name confusion with candidate Daniel J. Sullivan on the ballot.
- Republicans claim Daniel J. Sullivan is a 'Democratic plant' who switched party affiliation shortly before filing to siphon votes from the incumbent and help Peltola win.
- Primary results show Peltola received 49.5 percent of votes, incumbent Sullivan secured 41.4 percent, and Daniel J. Sullivan garnered 2.5 percent; the DOJ filing invokes the National Voter Registration Act as legal basis.
- Notre Dame University law professor Derek Muller questioned the lawsuit's legal merit, stating, 'The statute simply doesn't let the Department of Justice enjoin certification,' and noting it may only apply if Republicans lose narrowly.
- Critics fear this litigation signals a broader federal effort to block election certification in states where the president's party struggles, sparking concerns about potential U.S. government interference in state elections.
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abc 7 Chicago+4 Reposted by 4 other sources
DOJ preemptively sues to block Alaska Senate results if Republican narrowly loses
The Trump administration has preemptively filed a lawsuit to block the certification of the Alaska Senate race, citing name confusion among the candidates.
·Chicago, United States
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The U.S. government demands to block voting certification in Alaska if Senator Sullivan loses to Peltola, claiming confusion on the ballot.The Alaska Court refused to remove the other Sullivan, while the Department of Justice seeks to curb Democratic victories, generating electoral tensions.
·Buenos Aires, Argentina
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Coverage Details
Total News Sources59
Leaning Left18Leaning Right7Center30Last UpdatedBias Distribution54% Center
Bias Distribution
- 54% of the sources are Center
54% Center
L 33%
C 54%
13%
Factuality
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