The man behind Project 2025's most radical plans
- Bias Rating
-32% Somewhat Liberal
- Reliability
85% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-20% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
2% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
64% : Dans has criticized the legal field for what he perceives to be anti-conservative discrimination.61% : "Well, I like Trump, and I think he's going to win," he later told Sharma and Solheim.
59% : This time, Trump would take office with a fully staffed, carefully selected administration ready to roll.
53% : When Trump won, Dans eagerly sent off his resume.
51% : This was what Dans wanted the Heritage staffers gathered in the room and the tech engineers they'd contracted from Oracle to build: the engine of Trump 2.0.
48% : Dans got excited when rumors spread in 2011 that Trump would be going to New Hampshire to announce a run for president.
47% : "That fall, Dans headed to the Pittsburgh area to volunteer for Trump.
47% : James Sherk, then a special assistant on the Domestic Policy Council, began compiling purported examples of what they viewed as deep-state obstinacy that Trump should have been able to discipline with dismissals, including anonymous reports about Environmental Protection Agency employees withholding information about legal cases from political appointees and about Department of Justice lawyers refusing to investigate discrimination against Asian Americans at Yale.
47% : Dans still sees himself as a field general for a new class of Trump bureaucrats, one that will come to power if Trump wins, whether the effort is called Project 2025 or not.
45% : "In October 2020, less than two weeks before the election, Trump signed an executive order creating Schedule F, the new category of career employees in key positions who would now be easier to remove.
39% : So few had expected Trump to win in 2016 that hiring had been left mostly to GOP veterans, who brought in establishment figures and never managed to fill some slots at all, leaving the president exposed to the bureaucratic resistance that his acolytes believe undermined him at every step: the dreaded "deep state.
34% : Their attacks were so effective that Trump has publicly disavowed the effort (while selecting a running mate, Ohio Sen. J.D. Vance, who is closely allied with Heritage).
34% : He listed some of the mistruths that Democrats had voiced about the project's proposals, including a claim by Harris that it would eliminate Social Security.
31% : This gave Trump and his remaining White House coterie new resolve to take more control of hiring.
31% : Donald Moynihan, a public policy professor at Georgetown University, does not expect Trump to fire tens of thousands.
24% : The ultimate example of perceived perfidy came in December 2019, when the House used the testimony of federal employees to approve two articles of impeachment against Trump: for using the levers of powers to pressure Ukraine into discrediting Biden and for obstructing Congress.
21% : Trump turned the Presidential Personnel Office over to John McEntee, his 29-year-old former personal assistant who had left the White House in 2018 after a background check found that he posed a security risk due to his frequent gambling.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.