
Even Trump must know that firing the chair of the Fed would be self-defeating
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-60% 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
-11% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
Conservative

Contributing sentiments towards policy:
49% : Public agitation has costs in itself, it should be said.47% : Unlike Trump, he must measure the impact on markets of his every word.
40% : Cue mayhem in markets as Trump, presumably, would try to pack the Fed with a full line-up of poodles.
38% : Warsh, or anybody else, would have only one vote on the policymaking committee, so could not guarantee to deliver what Trump wants.
36% : The open question is how far Trump intends to push things.
31% : None of which means Trump won't attempt such a manoeuvre, of course.
26% : Under a tame Fed chair Trump might get his desired immediate cut to interest rates, but only at the cost of wrecking confidence in US monetary policy-making further.
23% : "Powell's termination cannot come fast enough!" declared Trump, which was several notches beyond his usual whine about urging the Fed to hurry up with cuts in interest rates.
20% : But getting rid of him would only invite more chaos US stock markets, Treasury bonds and the dollar itself are sliding amid the tariff turmoil and Donald Trump needs a soft target.
18% : "At this point, Trump would be forced to go all-out and fire the rest of the Fed board too," suggests Ashworth.
*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.