
Narrow margins and tough political headwinds force a prominent House GOP lawmaker to stay put - Washington Examiner
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
84% Very Right
- Politician Portrayal
-15% Negative
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Bias 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
40% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
52% : Trump has vaguely alluded to finding another administration role for Stefanik, but his word is famously untrustworthy.40% : Trump didn't mince words.
38% : A political void trade of sorts played out dramatically on March 27, when President Donald Trump rescinded Rep. Elise Stefanik's (R-NY) nomination to be U.S. ambassador to the United Nations.
38% : Trump said on Truth Social that he asked Stefanik, a former House Republican Conference chairwoman, the fourth in the House GOP hierarchy, to stay in Congress and help him accomplish his agenda, calling her one of his "biggest allies." "With a very tight Majority, I don't want to take a chance on anyone else running for Elise's seat," Trump said.
38% : However, the key electoral calendar date is July 15, when the Democratic primary is set in a district where Harris beat Trump about 60% to 38% in 2024.
32% : House leadership, VP stakes, UN Amb nominee-all dashed to end up back in the job she hates.
21% : If Stefanik left the House, Trump has alluded to a nontrivial chance that Democrats could win a district in which he beat former Vice President Kamala Harris about 60% to 39%.
15% : So far in 2025, Democrats are performing an average of more than 10 points better than they did at the top of the ticket in 2024 when Harris lost to Trump.
*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.