Trump Can't Find Insurer To Cover $454 Million Bond After Seeking Help From 30 Companies

  • Bias Rating

    -10% Center

  • Reliability

    40% ReliableFair

  • Policy Leaning

    N/A

  • Politician Portrayal

    76% Negative

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

Overall Sentiment

16% Positive

SentenceSentimentBias
"According to an analysis by CNBC, Mr. Trump's fine is growing by more than $100,000 per day due to interest."
Positive
28% Conservative
"In deciding whether to enter a stay, the Court may consider 'any relevant factor, including the presumptive merits of the appeal and any exigency or hardship confronting any party,' Mr. Trump's lawyers write, pleading for relief from the judge."
Negative
-2% Liberal
"Trump's lawyers say that finding an insurer to post a bond for the former president has proven to be 'a practical impossibility.'"
Negative
-18% Liberal
"In a new legal filing that asks a New York state judge to put a pause on President Trump's $454 million civil fine levied by the state attorney general, the former president's lawyers have disclosed that they have been unable to find an insurer to cover the bond even after contacting 30 firms about such assistance."
Negative
-18% Liberal
"Mr. Trump's attorneys have previously proposed posting a temporary $100 million bond, but that was rejected by another state judge."
Negative
-24% Liberal
"Judge Arthur Engoron, who decided unilaterally both the issue of Mr. Trump's guilt and the nature of his penalty, ruled that a bond must be posted by March 25."
Negative
-30% Liberal
"Mr. Trump's lawyers say that putting a pause on the requirement for bond creates no harm for the state or the people of New York, but does represent a serious harm for their client."
Negative
-34% Liberal

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-100%
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100%
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Contributing sentiments towards policy:

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*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.

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