Opinion | California is burning. Trump's response was wildly inaccurate and unhelpful.
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-5% 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
-26% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
53% : Well, remember that Trump wanted more of that water to go to nut and fruit farmers in areas, most of whom support him, and not to the residents of Los Angeles, most of whom don't.39% : Newsom, Trump wrote, "refused to sign the water restoration declaration put before him" (false) that would have allowed millions of gallons of water to flow into "many parts of California" (false) because he "wanted to protect an essentially worthless fish called a smelt" (misleading) by "giving it less water" (pretty sure he means "more water," but let's move on) and now there is "no water for fire hydrants" (misleading).
38% : As for the smelt, Trump is being disingenuous.
26% : Unfortunately, that debate won't include Trump, whose first instinct was to blame his political opponents, raise an irrelevant issue and misinform everyone about the basic facts.
23% : This is basic stuff, so the fact that Trump describes this as Newsom refusing to sign some kind of document that never existed should give you a sense of how disengaged he is with his own policy.
12% : In a Truth Social post Wednesday, Trump blamed California Gov. Gavin Newsom for the wildfires, arguing that his handling of a complex dispute over water rights in the greater San Francisco area somehow either caused the fires or made it harder to fight them.
*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.