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Trump Says Liberal Judges Are Blocking His Agenda — Data Suggests Otherwise
- The Trump administration is facing significant opposition in courts, with a high number of interventions from judges appointed by Democrats, according to RealClearInvestigations.
- About 80% of cases against the Trump administration were filed in just 11 district courts, which have a higher percentage of Democrat-appointed judges.
- Democrat-Appointed judges accounted for the majority of adverse rulings against Trump's policies, influencing the administration's agenda during legal battles.
- Critics claim that court practices, including forum shopping, significantly hinder Trump's ability to implement his policies effectively.
11 Articles
11 Articles
Trump says liberal judges are blocking his agenda — data suggests otherwise
President Donald Trump’s loss rate in federal district court is getting worse by the month. In February, district judges were ruling against him about 53% of the time, according to an analysis by Stanford University political science professor Adam Bonica. By May, Trump’s losing percentage was up to 96%, and the adverse rulings weren’t only coming from liberal judges. The president seems to have noticed. In a Truth Social post on Memorial Day, …
thepress.net
Tipping the Scales: Why So Many Cases Against Trump Are Heard by Democrat-Appointed Judges
As the Trump administration faces substantial pushback in the courts, including an unprecedented wave of nationwide injunctions halting its policies, some are claiming that his opponents are tilting the scales of justice by selectively bringing their lawsuits before sympathetic courts…
The Supreme Court has a pro-Trump double standard—here’s how we fix it
Ian Millhiser, senior correspondent at Vox, recently dropped a must-read on one of the most galling features of today’s Supreme Court: the shadow docket. It’s the legal equivalent of fast-tracking a decision without the usual hearings, written...
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Bias Distribution
- 38% of the sources lean Left, 38% of the sources are Center
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