Posted on 08/04/2025 1:35:32 AM PDT by Libloather
President Trump on Sunday accused the head of the Bureau of Labor Statistics (BLS) of inflating job numbers to an "all-time high" prior to the U.S. presidential election, just days after announcing her firing.
"Head of the Bureau of of[sic] Labor Statistics did the same thing just before the Presidential Election, when she lifted the numbers for jobs to an all time high," Trump said in a post to his Truth Social account Sunday afternoon. "I then won the Election, anyway, and she readjusted the numbers downward, calling it a mistake, of almost one million jobs."
In the post, the President also alleged that the "miscalculations" of BLS Commissioner Erika McEntarfer were the most significant in more than half a century.
"A SCAM!" Trump continued. "She did it again, with another massive "correction," and got FIRED! She had the biggest miscalculations in over 50 years."
The post follows just days after Trump lashed out at the Bureau of Labor Statistics and said he would fire McEntarfer after the U.S. economy added fewer jobs than expected in July and large downward revisions were made in the prior two months — suggesting the economy and labor market are weaker than previously believed.
Trump similarly accused McEntarfer of falsifying job numbers prior to the U.S. presidential election.
"I was just informed that our Country's 'Jobs Numbers' are being produced by a Biden Appointee, Dr. Erika McEntarfer, the Commissioner of Labor Statistics, who faked the Jobs Numbers before the Election to try and boost Kamala's chances of Victory," Trump posted to Truth Social on Friday.
(Excerpt) Read more at foxbusiness.com ...
BLS has always revised its estimates, if appropriate, after considering additional data. It has done this regardless of administration. Maybe they could consider NOT releasing that tentative first estimate at all. Then it wouldn’t need to be revised once ALL the data is in. Just sayin’,
I think this “McEnfarter” woman is a high-functioning feminazi of the highest order. HR managers across the fruited plain must be going AWOL this morning.
Assuming it was a “mistake” (it wasn’t)… PhDs are not supposed to make that sort of mistake on a national issue, especially that close to a national election. That is enough reason to be fired.
Probably shouldn’t make estimates if you’re going to be THAT wrong. Trying to make Biden look good before the election was politically motivated though and she should be fired for that alone.
Maybe these bureaucrats could just check their own political leanings at the door when they accept jobs to perform duties that we pay them well for.
Politically all this is very transparent. Open eyes will see it.
Ms. McEntarfer is a registered democrat in the District of Columbia! Enough said!
The million job downward revision after the election told me that BLS was basically making it up. I don’t know what the right numbers are, but I surely do not trust the ones we have been getting.
“BLS has always revised its estimates, if appropriate, after considering additional data. It has done this regardless of administration. “
Exactly
She revised it 818k. She just revised it another 300k. The fed is making decisions based off these numbers that aren’t even close. She was off 20%. If she’s not held to account may as well never fire anyone for cause.
It would be interesting to see a bar chart with all the releases in order of date, with a length of each bar being how wrong it was, and color coded red or blue if the error helps Rs or helps Ds, respectively. A huge overstatement of jobs during the Biden era would make a lengthy blue bar. Would there be any lengthy red bars? Or enough shorter red bars to compensate? Or would essentially all the bars be blue? (In which case they would not be “errors” but rather criminal partisan fraud.) Note also that the FBI grossly underreported crime prior to a debate, such that Trump could be “fact chacked” with a lie, another lengthy blue bar, this time from the FBI.
BLS has been cooking the books since inception.
He’s not wrong.
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