'... like putting arsonists in charge of fire prevention': Trump's Director of NIH pick slammed for involvement in Great Barrington Declaration
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
4% Positive
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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
-7% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
55% : Trump also lists Bhattacharya's qualifications, including his status as a Professor of Health Policy at Stanford University and a Research Associate at the National Bureau of Economic Research.53% : On November 26, Trump announced that Bhattacharya would be his pick for Director of the NIH, noting that he would cooperate with Kennedy to "direct the Nation's Medical Research and make important discoveries that will improve Health and save lives."
48% : As if that weren't concerning enough, Trump has now selected Bhattacharya to lead biomedical and public health research in the United States, even though he co-authored a proposal that would've led to hundreds of thousands of COVID-19 deaths.
29% : The future of the nation's health was already looking grim before Bhattacharya's selection, as Trump nominated conspiracy theorist Robert F. Kennedy, Jr. as the U.S. Secretary of Health and Human Services.
27% : "The Great Barrington Declaration did provide an alternative to lockdowns, but Trump fails to mention that it was a deadly alternative that the medical industry has widely criticized.
22% : "Bhattacharya and Kennedy are being put in charge of "saving lives," as Trump puts it, even though they've both issued proposals that would do the exact opposite.
*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.