US EditionPartisan Divide Deepens Within The Administrative State, Napolitan Institute Survey Reveals
- A new poll by the Napolitan Institute shows that 76% of federal employees who voted for Kamala Harris intend to resist President Donald Trump’s plans, with 75% stating they would disobey legal orders they disagree with.
- The survey revealed a significant partisan divide, showing that while 80% of Trump-voting officials would obey him, 18% stated they would not follow his orders.
- Only 16% of Harris supporters in the government would follow a legal order from Trump if they disagreed, while 56% plan to resist his agenda.
- Scott Rasmussen of the Napolitan Institute stated that their research highlights the challenge Trump faces in executing his agenda due to resistance within the federal bureaucracy.
10 Articles
10 Articles
Partisan Divide Deepens Within The Administrative State, Survey Reveals
A new survey conducted by the Napolitan Institute paints a stark picture of the deep partisan chasm dividing the federal bureaucracy in the early months of the Trump administration’s second term. The study, titled “The Resistance: The First 100 Days,” surveyed 500 Federal Government Managers, 1,000 members of the “Elite One Percent,” and 1,000 Registered […] Partisan Divide Deepens Within The Administrative State, Survey Reveals
New Poll Shines Important Light On The Deep State Rising In The Second Trump Admin
Credit: (Screenshot), LiveNOW from FOX, via YouTube A surprising number of federal bureaucrats who work in Washington, D.C., plan to oppose President Donald Trump from within the government—a deep state taking shape in his second term. D.C.-based bureaucrats are split along partisan lines, with Republicans planning to support the president and Democrats planning to oppose him, according to an RMG Research survey commissioned by the Napolitan In…
Coverage Details
Bias Distribution
- 100% of the sources lean Right
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage
