最新报道：According to a poll of 46 US economists conducted by the University of Chicago this week on August 8th, 38 of them stated that there was no evidence that the US Bureau of Labor Statistics (BLS) employment data was biased towards either Republicans or Democrats. Many economists say that Trump's attacks on US economic data agencies pose a serious threat to official statistics. Last Friday, Trump ordered the firing of the director of the Bureau of Labor Statistics (BLS), which releases non-farm payroll data, after claiming, without evidence, that disappointing employment figures were "manipulated." The BLS later confirmed the dismissal of Erika McEntarfer, and her deputy, William Wiatrowski, will serve as acting director. Trump had previously claimed that the BLS inflated employment figures during last year's presidential election to help Democrats. However, the agency revised the figures downward by over 800,000 in August 2024, a move that was seen as a blow to the Democrats at the time. Although the BLS has been plagued by staff shortages, funding gaps, and declining survey responses, former statisticians and economists say that manipulating the data is actually very difficult. Anil Kashyap of the University of Chicago Booth School of Business said, “If you have any understanding of how these numbers are constructed, you’d know it would take a massive conspiracy to manipulate them successfully.” Nancy Stokey of the University of Chicago said, “Trump’s firing of the director of the Bureau of Labor Statistics will only damage the reputation of the United States.”