The narrative the Left (and The Press in particular) really wants to keep putting out there is that manufacturing jobs really aren't being lost to Mexico, China or anywhere else, but instead are being lost to automation. One part of the Left and The Press do so as a means to push back against the enforcement of immigration laws, and the other part does so because they are pro globalization (which necessarily requires open economic borders).
But
this particular instance of furthering the narrative is just so egregious as to be insulating. Buried deep within the piece, the second-to-last paragraph, you find this paragraph:
Danielle Paquette @The Washington comPost said:
Modern factories can produce more goods with fewer people, thanks to machines. A study last year from Indiana's Ball State University concluded that automation was responsible for
88 percent of manufacturing jobs lost over the last two decades.
The piece, about Rexnord thumbing their nose at Trump, written to make Trump look bad as all of Danielle Paquette's pieces are written to do, would have a fine piece of routine space-gobbling content, if she'd only left out that one paragraph. Even if she'd just left off the last sentence in that paragraph, it would have been fine.
But the linked study (authored by two famously pro-globalization economists) doesn't even say that 88 percent of manufacturing jobs lost over the last two decades have been lost to automation. It specifically attributes 13.4% of job losses directly to automation, and folds the other 86.6% into a combination of import/export demand, and in a tortured theoretical extrapolation of,
"Had we kept 2000-levels of productivity and applied them to 2010-levels of production, we would have required 20.9 million manufacturing workers. Instead, we employed only 12.1 million.”
That's the same (Clintonian) mindset that turns a proposed budget increase of 20% that gets reduced to only 10% as being labeled as a 10% spending cut.
But where Danielle Paquette gets her sentence from is
"Almost 88 percent of job losses in manufacturing in recent years can be attributable to productivity growth, and the long-term changes to manufacturing employment are mostly linked to the productivity of American factories." She simply took that 88 percent figure, and the word "productivity" and applied every last bit of it to robotic automation. But what they (in the study and many others who used tortured statistics to make the same case) do is, they take the production of parts from Mexico, for example, that are then shipped back into the US for auto assembly, for example, and use the total combined production level from both the US and Mexico as a measure of American factory productivity. A factory employs 400 people, and ships 200 jobs to Mexico, where parts are made and then shipped back to the US, and the total production of the company gets divided by the 200 remaining US jobs to show that the US factory has doubled its productivity.
There is certainly no question that robotic and other automation has cost people jobs, but I promise you, a company doesn't ship 200 jobs to Mexico so those 200 jobs can be performed by 200 robots.
Danielle Paquette, incidentally, is the quintessential SJW millennial journalist. A 2013 graduate of Indiana State University, from Indianapolis, she studied French, Journalism, and Human Sexuality and Gender Studies. She adores Eurotrips, sand volleyball and
Blair Waldorf's caustic wit. Her first job out of college was as a reporter with the Tampa Bay Times, where she worked in the PolitiFact subsidiary as a staff writer and later as an associate editor (where, I'm sure, her vast life experience played a significant role - incidentally, the average age of the PolitiFact staff is 26). While in college writing for the college newspaper, she wrote extensively on women's issues (currently she has a decidedly love-hate relationship with Ivanka Trump) and about (the Utopian hope of) how robotics will one day make it so that nobody will have to work and every conceivable need will be provided by robots and automation.