'Total B.S.': Retired judge bluntly calls out Trump's post-sentencing falsehoods
- Bias Rating
10% Center
- Reliability
65% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-24% Negative
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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
1% Positive
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
61% : You know, notwithstanding, you know, one trial, you know, one catastrophe after another, but this is the way Trump handles things, so it was totally to be expected."48% : "Judge Merchan knew exactly what he was doing, and he did it, and Donald Trump, by the way, knew exactly what he was saying, and he said it.
32% : ""Total B.S. that, as [New York Times investigative reporter] Susanne [Craig] could tell you, she's she's done the encyclopedia in her book 'Lucky Loser,' where Donald Trump has been adept," said George Grasso, a retired New York City judge.
29% : The president-elect avoided jail time after his conviction was unconditionally discharged by the trial judge, who Trump again called "highly conflicted" in a Truth Social post that claims "there never was case" and described the prosecution as a "scam.
22% : But speaking as a retired judge for almost 13 years and an attorney for over 40 years, from a legal point of view, everything that he said is B.S."ALSO READ: Trump intel advisor Devin Nunes still dismisses Russian election meddling as a 'hoax'"What the judge did here is he locked in Donald Trump as a convicted felon unless and until an appellate court with appropriate jurisdiction, either in New York State or the United States Supreme Court, unless they vacate this, Donald Trump is a convicted felon," the retired judge added.
*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.