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This Court Became a Symbol of Trump's Immigration Crackdown. Now It's at the Center of a House Race
The race centers on competing responses to migrant arrests and court oversight, with Lander arrested twice and Goldman saying conditions have improved.
- In the Democratic primary for a Lower Manhattan congressional seat, Rep Dan Goldman and Comptroller Brad Lander are clashing over strategies at 26 Federal Plaza, which represents President Donald Trump's deportation campaign.
- Goldman leverages his office to demand federal access and connect immigrants with services, while Lander acts as a court observer and protester, attempting to accompany migrants past agents.
- Lander, running with support from Mayor Zohran Mamdani, was arrested twice at the building and rejected a deal ending his misdemeanor obstruction case in six months, opting for trial instead.
- Goldman dismissed Lander's efforts as performative, telling The Associated Press he provides information through oversight and characterized his approach as substantive compared to protests.
- The immigration court now serves as a central battleground in the closely watched Democratic primary, with both candidates aiming to prove effectiveness in challenging federal deportation efforts before June.
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14 Articles
14 Articles
The Toronto StarReposted by 
Washington Times
Washington TimesThis court became a symbol of Trump’s immigration crackdown. Now it’s at the center of a House race
NEW YORK (AP) — A federal immigration court in Lower Manhattan has come to represent the Trump administration’s deportation campaign in New York City, with agents carrying out chaotic and
·Toronto, Canada
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Associated Press News+11 Reposted by 11 other sources
This court became a symbol of Trump's immigration crackdown. Now it's at the center of a House race
A federal immigration court in New York that is notorious for chaotic arrests has become the focal point of one of the city’s most closely watched congressional races.
·United States
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Total News Sources14
Leaning Left7Leaning Right3Center2Last UpdatedBias Distribution58% Left
Bias Distribution
- 58% of the sources lean Left
58% Left
L 58%
C 17%
R 25%
Factuality
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