The Extreme Shortage of High IQ Workers
marginalrevolution.com
marginalrevolution.com
"We need more suckers willing to do incredible hard things for little reward beyond the work of doing them. while the management and their consultants reap millions in ongoing profits for bringing a diluted, not-quite-good-enough version of that work to market"
edit to add: These jobs are often at places founded by "genius motivated by love", but now its the second generation or more on from that. the management wants that kind of success but they want it on their schedule (gotta make the quarterlies). they want it without the risk of failure and need for multiple attempts and extended effort, which made the original company work as much as the genius, but no one recalls that part now. they want meetings and reports and rigidly regulated routines more than they actually want the genius level output.
Complete clownshow from these upper managers. If workers aren't entitled to a job, you're not entitled to high IQ talent, dumbasses!
The entire article is predicated on this asspull. Where's the evidence? Has someone done a study on the average IQ of TSMC workers? This assumes so many things:
1) That semiconductor manufacturing is more complex than manufacturing commonly done in the US. We make rockets! Complex pharmaceuticals! Nuclear weapons! What's the complexity factor of semiconductor manufacturing to those processes? 1.1x? 2x? 100?? 1000x???
2) That just because the manufacturing process is more complex, the skill of a line worker in that process must be higher than a line worker in a simpler industry. Maybe ASML makes very user-friendly machines? Again, it's possibly true, but it's just asserted as ground truth with no evidence.
3) That the higher skill required of workers must correlate 1:1 (or roughly so) with IQ. "A single speck of dust"--that sounds like workers must be detail-oriented and follow processes to the letter, and any veering off that path would have disastrous consequences. Does that sound like an environment where Feynman or Einstein or Curie would thrive just because they had "high IQ"?
And instead of justifying the central leap of logic the entire article is premised on, the author instead spends their time on such insights as "half the American population is below 100 IQ"...
Edit: this is not to say that the USA should not develop its own semiconductor industry again - the issue there isn't profit, it's supply chain and security, prevention of backdooring or denial by China.
But yeah, that's just like everything. There's a shortage of luxury vacation rentals that fit my budget, too. There's a shortage of fine steak at McDonald's prices.
If you want these people, you have to pay them the way they're accustomed to be paying (most of them are smart enough to know their value), and you have to give them something to do that they actually want to work on. Won't do one or both of those, and now you're complaining about a shortage? It's hard to be you, I guess, but nobody else cares.
(Note: "You", above, does not mean the parent. It means the would-be employer.)
I'm not convinced high intelligence is a necessary condition to get into chip design. You just need to be willing to spend the time to finish advanced degrees in university and get trained. This is mostly taken up by foreign students because citizens can earn well becoming an SWE right after bachelor's.
Cost of workers, cost of manufacturing, regulatory and governmental overhead…. These influence fans more than smarts.
Credible chance regulation and overhead influence software more than intellect does. I'd certainly believe that as a premise.
Just the drop in the stock market equated to the earnings of 75,000 quants averaging $7,800 per day for 45 years.
Employee compensation economics don't make much sense to me. There's some factor in favour of maximising headcount which argues for many people on low pay instead of few people on high pay.
It's also considered _better_ to have your long term engineers occasionally notice the gap between their pay and the open market, leave, and then be replaced by new ones who cost what the open market predicted.
How many people ever got fired for selling the future for a short term gain? (how many of the few who did, didn't just get another, better job because of more experience?)
Pretty much everyone who does really well in physics ends up as a quant or something similar because the pay starts at 10x what you get as a researcher and goes up from there into the stratosphere.
The only people left behind are those that didn't-quite-make-it, or truly deeply love physics and simply don't want to get an extra zero on their pay-cheque.
It's really not that different for any skill that is hard (whether it is by requiring "smart" people or just ten years of practice to perfect the craft) to learn and niche enough that people normally don't choose that career path
This was satire right? Am I missing the joke? He's just using the definition of IQ and a normal distribution to come up with some number...
The score is then adjusted downwards so that the median Canadian IQ is set at 100.
Any IQ test with any sort of validity will not contain any country-specific questions. ("Regatta" became irrelevant as a "gotcha" for those questioning the validity of IQ tests so long ago that it's long since become an emeritus member of same, really.)
> and mathematical notation) but score higher on average due to a variety of social factors.
I am not aware of any evidence that Canadians score higher than Americans on IQ tests when normalized by audience.
Americans do quite well on PISA, for example, compared to their ethnic relatives <https://www.unz.com/isteve/the-new-2018-pisa-school-test-sco...> Asian Americans do better than Asians; whites do better than Europeans; Latinos do better than Latin Americans; and blacks do better than Africans.
Hispanics and especially blacks' scores drag the US average down. Both white and Asian Americans score higher than Canada (and white+Asian is essentially Canada's racial makeup), and higher than New Zealand, Australia, the Netherlands, Belgium, Germany, France, Norway, and the UK; Estonia is below US Asians but above white Americans. Norway is by far the wealthiest Nordic state but its average is only two points higher than the US national average, despite not having a demographic that is 13% of the population and scores 85 points below the white American average.
1) "High" IQ is necessary to make semi-conductors? Why, because of low tolerances? In that case it just needs people who are really careful.
2) IQ is universal. This is not the case - a 100 IQ is set to be the middle of the curve - so a 100 IQ today would be a 120 IQ 30 years ago. (Flynn effect)
3) IQ is static. This is also not the case. Anyone can improve their IQ. If you really want a high IQ, practice taking IQ tests. An Air Force officer managed to get his IQ up to 185 because it was his job to administer IQ tests. Education has also been shown to increase IQ.
4) IQ is a useful metric. There is some evidence to suggest that it relates to improved academic performance, but a lot of the early science was based on bad data.
I wish people would stop making claims that mathematically cannot be true in normal distributions.
Or by "making claims" do you mean the claims of the premise of an IQ test? That is, it's ludicrous to assume that "actual intelligence" (whatever is being approximated by IQ tests) would fit perfectly into a normal distribution, and it's therefore ludicrous to claim IQ can measure intelligence?
Analogy: The median U.S. male height is 5'9". Approximately 15% of the male population is 5'9". How can you have 50% of the population <= 5'8", 50% of the population >= 5'10", and 15% of the population == 5'9"?
(This isn't a mathematical constraint on the truth of the statement, but... its truth would also depend on there being zero correlation between being low-IQ and lack of labor force participation, which I find implausible.)
It seems dependent on measurement precision, effectively the bucketing resolution of the histogram. If you measure both 69.00 and 69.99 inches as 5'9" then the number of people in the "median height bucket" would be more than if you broke it into 100 buckets from 69.00 to 69.99. Since presumably nobody can be exactly 5'9" (or 5'9.00", or 5'9.000"...), then the number of people in the "median" bucket must represent the inaccuracy of the measurement.
So the greater precision you can measure, the less people are "inaccurately" at the exact median score - since buckets of .01 inches will contain fewer people than buckets of 1 inch.
(I've noticed a lot of problems end at this boundary of continuity and discreteness. I find it existentially disturbing. As a bewildered non-mathematician, I've gone down quite a few rabbit holes reading about the axiom of choice and intuitionism – My favorite was when I discovered the Hairy Ball Theorem, but I also enjoyed this idea from "Does time really flow?" that describes time as an increase in precision of measurement of uniquely numbered particles [0].)
[0] https://www.quantamagazine.org/does-time-really-flow-new-clu...
"A single speck of dust can ruin a production run." As if that is the only thing requiring such delicate hands. Even if we accept his assertion that we need rocket scientist-level folks to build chips, he seems to forget that demand is shared by all the other things that need rocket scientists, including but not limited to actual rocket science.
To say nothing of the wonderful irony of an american professor using such faulty logic to write a post about how stupid americans are. And can we talk about his unspoken faith in IQ testing?
A web dev has extremely low capital costs related to his work product. He can walk out of the job and be running again on a $500 laptop.
A hardware engineer is restricted by the fact that his work product is reliant on combination with large manufacturing orders. He can't fund a order for 1000s of IC units himself.
Because of this we see a lot more talent shift into the software world while other areas stagnate.
Any software jobs in semiconductors pay far less than software elsewhere. Hardware jobs require you to be on site continuously often with weird hours--generally in places that you probably don't want to be living at.
I can go on and on. But anybody I knew of who could leave semiconductors did so and never looked back.