As to point 1, I actually changed that a long time ago, but it seems Tumblr is caching the post on the specific page. If you go to the main blog page, it shows up correctly.
Point 2, the study addresses the number I brought up for the entire US.
Point 3, as I wrote, "The smart universities have realized this, and target their admissions process to select those who have it."
Point 4, Facebook tracked text. There was no complex machine learning algorithms, no thought of scaling, no esoteric languages.
2) I assume you mean the graph towards the end called Annualized Job Openings vs. Annual Degrees Granted (2008-2018). That seems to indicate the opposite - job openings in Computer Science exceeding degrees by a factor of ~2.5.
3) So it is possible for some universities to foster entrepreneurial spirit, would be interesting to see what kind of factors are important for this.
4) If building Facebook were trivial, they'd have been drowned by competition before they could achieve critical user mass. Their challenges were probably more on the lines of good UI and achieving traction, so I see what you're saying that they didn't exactly need PhDs in CS to build the backend. But they did have plenty of complex problems to solve, I am sure.
2) "job openings in Computer Science exceeding degrees by a factor of ~2.5." is the point - there's way more demand than there is supply of CS degrees.
3) My argument is that they admit the people with the spirit already.
4) Right, I'm talking only about tech in this article.
Point 2, the study addresses the number I brought up for the entire US.
Point 3, as I wrote, "The smart universities have realized this, and target their admissions process to select those who have it."
Point 4, Facebook tracked text. There was no complex machine learning algorithms, no thought of scaling, no esoteric languages.