First, let's take a look at the statistics cited in the piece which support the main thesis (the whole article is built on two facts):
* highest quit rate since .... 2019! 2019, wow, that was like ancient history. That makes this historic!
* 14 million (what a big number!) of 18-34 not in labor force. Isn't that number so big? OMG, look at how big that number is!
Whereas the data says both the total not in labor force number and the "do not want job" number has declined for all groups except those 55 and over![1] where it has slightly increased. Actually the WSJ got this right when it said the labor story of the day is people (primarily small business owners) taking early retirement. But then again, that story was written by an experienced journalist.
That's it. That's all the labor force participation statistics she cites in support of this "Great Resignation". The rest are a series of grievances about how bad people have it and how they're really not gonna take it anymore! Well, OK, then.
So how could someone write a story with the exact opposite conclusion of what the labor force statistics say? Why would someone think lying about a "Great Resignation" is responsible, objective journalism?
The problem with these type of activist, grievance-based, emptional pieces is that they are not news (describing how the world is) they are advocacy (describing how the world should be). And when you blur those lines, truth and engagement with reality is the first casualty. Raisa obviously thinks a great resignation is warranted and so just pretends that it's happening. As if her own intuition and circle of friends were more reliable than labor force statistics. So she disengages with the real world and starts pretending that it is actually occurring. She is LARPing the news!
And you often see this on the part of frustrated activists. The clues are phrases like "people are starting to wake up", without any actual data. It's perfectly understandable that this happens - lots of people have been secluded, isolated, and are beginning to lose it - but when it seeps into news reporting, it's very dangerous.
Honestly defense-in-depth seems to be working OK here.
Best books? Websites? Journals? People on Twitter to follow? GitHub projects to watch? YouTube videos?