Trump's BLS Nominee Suggests Suspending Monthly Jobs Reports Due to Data Concerns

Tuesday, 12 August 2025, 17:10

Trump's nominee for BLS, E.J. Antoni, advocates for halting monthly jobs reports, citing doubts over data accuracy. He proposes more accurate quarterly data instead. This controversial stance raises significant questions about the reliability of labor statistics.
Thehill
Trump's BLS Nominee Suggests Suspending Monthly Jobs Reports Due to Data Concerns

Impacts of Suspending Monthly Jobs Report

President Trump's nominee to lead the Bureau of Labor Statistics (BLS), E.J. Antoni, has suggested suspending the publication of monthly jobs reports, claiming that the data underlying these reports is unreliable. Antoni, whom Trump nominated Monday, criticized the current methodology and emphasized a shift towards quarterly reports that provide more accurate, albeit less timely, information.

Consequences of Data Uncertainty

Antoni articulated that major decision-makers in finance and government depend on accurate employment data. A lack of confidence can jeopardize economic decisions, impacting investments and policy formulation significantly. He criticized the previous reports, especially the poor July employment figures that illustrated a mere 100,000 jobs created over the past three months.

  • Antoni's claims linked to the firing of former BLS chief Erika McEntarfer after a dismal jobs report.
  • His assertions about data manipulation have faced pushback from bipartisan former BLS veterans.
  • Antoni's controversial views on labor statistics have drawn skepticism from economists, highlighting his inexperience as a potential leader in this critical agency.

The Future of BLS Under Antoni

Antoni, known for his politically charged commentary, is expected to face scrutiny in his role, particularly regarding his proposed changes to BLS reporting practices. Analysts worry that his leadership may cast doubt on the credibility of labor statistics crucial for economic policy and market strategies.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

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