4 ms·
The devil is in the details. The 528k headline number is misleading, unless you consider part-time/seasonal McJobs equivalent to full-time jobs. Household Surv
by lowkey 4y ago
The devil is in the details. The 528k headline number is misleading, unless you consider part-time/seasonal McJobs equivalent to full-time jobs.
Household Survey
Full Time -71,000
Part Time +384,000
Multiple Jobs +92,000
source: https://twitter.com/RobertLutherFL/status/1555550702084169731 https://twitter.com/RobertLutherFL/status/155555070208416973...
- legitster 4y agoThe fed is using the exact same metric to count jobs as they were a year ago, 10 years ago, etc. You can nitpick it all you want but it's a consistent datapoint.
- lowkey 4y agoThe fact is that full-time permanent jobs declined by 77k. The bulk of new job creation was in part-time, transient positions that for the most part don't pay enough to sustain people - especially with inflation rampant. The numbers look good, as long as you don't look too closely into the numbers - my point stands. Don't you find it curious that the article fails to mention these details? I do.
- spaceman_2020 4y agoProbably why the markets didn’t completely puke on these numbers.
- lotsofpulp 4y agoI would hope investors are doing more research than reading short Washington Post articles.
- mint2 4y ago384+92 is 476. 384 + 92 - 172 is 304. How does that add up to 528 or are apples and oranges being compared?
- whatinthenote 4y agoThe source being a tweet from clear right wing nutcase. Not gonna waste my time looking through his tweets to learn that he thinks there are "election fraud" in AZ. I'm not a labor economist and know nothing about job reports. A quick read into the technical notes mentions that there are two separate surveys and the 528k number comes from the second establishment numbers (https://www.bls.gov/news.release/empsit.b.htm https://www.bls.gov/news.release/empsit.b.htm).
- icedistilled 4y agoapparently the lesson the french researcher tweeting chorizo and calling it a star to raise awareness of appeal to experts is pretty well needed. Like in this thread, a random person on twitter with numbers and a likely bias is cited presumably just because the tweet happens to what the poster here wants to be true, not because the numbers are well explained.