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Trump doubts China’s coronavirus figures

Trump doubts China’s coronavirus figures - Photo/Image

 

 

 

 

 

President Donald Trump joined U.S. lawmakers on Wednesday to cast doubt on the accuracy of official Chinese figures on its coronavirus outbreak after.

“How do we know” if they are accurate, Trump asked at a press conference. “Their numbers seem to be a little bit on the light side.”

Trump insisted that “the relationship with China’s a good one” and that he remained close to President Xi Jinping.

However, controversy around Beijing’s transparency has strained ties, adding to bad feelings triggered by a conspiracy theory in China that the US military was to blame for the virus.

Republicans in Congress, pointing to a report by Bloomberg citing US intelligence, expressed outrage that Beijing apparently misled the international community on China’s infections and deaths that began in late 2019 in the city of Wuhan.

China’s reporting has been intentionally incomplete, with some intelligence officials describing Beijing’s numbers as fake, reported Bloomberg, which highlighted the classified intelligence document sent to the White House last week.

China has publicly reported 82,361 confirmed cases and 3,316 deaths as of Wednesday, according to a rolling tracker by Johns Hopkins University.

That compares to 206,207 cases and 4,542 deaths in the United States, the country with the world’s largest reported outbreak.

Republican Senator Ben Sasse attacked Beijing’s numbers as “garbage propaganda.”

“The claim that the United States has more coronavirus deaths than China is false,” Sasse said in a statement.

“Without commenting on any classified information, this much is painfully obvious: The Chinese Communist Party has lied, is lying, and will continue to lie about coronavirus to protect the regime.”

On Tuesday a member of Trump’s coronavirus task force, doctor Deborah Birx, said the medical community saw China’s outbreak as “serious but smaller than anyone expected because I think probably we were missing a significant amount of the data.

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