For something like this, all the data are there. They show their work. The administration could try to check and see if the numbers are correct, but they don't.
There's no need. The BLS themselves check their own numbers and huge revisions have become normal. The idea that the BLS is getting things wrong isn't controversial and has been flagged by economists for years. If you want to understand this POV read this:
Others and I mercilessly criticized the BLS during the Biden Administration for the huge downward revisions that occurred every month under the prior administration. Reporting good numbers one month, only to revise them down significantly over the next two months, when no one was paying attention. Frankly, at the time, it looked political. Now it appears to be just gross incompetence.
Understand, the revisions to the employment data last Friday were the largest revisions in my lifetime. More than 90% of the initially reported jobs didn’t exist. Combined with the revisions over the past three years, it is clear that something at BLS is broken. I have spent a career building statistical forecast and prediction models. If my models produced 90% errors, I would have adjusted them, or I would have been fired. Ms. McEntarfer didn’t make adjustments….so she was fired.
https://substack.com/home/post/p-169836476
Others and I mercilessly criticized the BLS during the Biden Administration for the huge downward revisions that occurred every month under the prior administration. Reporting good numbers one month, only to revise them down significantly over the next two months, when no one was paying attention. Frankly, at the time, it looked political. Now it appears to be just gross incompetence.
Understand, the revisions to the employment data last Friday were the largest revisions in my lifetime. More than 90% of the initially reported jobs didn’t exist. Combined with the revisions over the past three years, it is clear that something at BLS is broken. I have spent a career building statistical forecast and prediction models. If my models produced 90% errors, I would have adjusted them, or I would have been fired. Ms. McEntarfer didn’t make adjustments….so she was fired.