Of course teachers who understand this also make money, see Miss Excel ( https://www.instagram.com/miss.excel/?hl=en ), who was/is making $100k a day with excel instruction videos on tiktok and instagram. It’ll all about leverage.
Of course teachers who understand this also make money, see Miss Excel ( https://www.instagram.com/miss.excel/?hl=en ), who was/is making $100k a day with excel instruction videos on tiktok and instagram. It’ll all about leverage.
If teachers were paid a lifetime percentage of their students earnings teachers would make far more than software engineers. Barring some cultural revolution that’s not going to happen.
Software engineers simply make more money because the companies they work for have high margins.
Seems easy to prove wrong by trivially looking at high school dropout vs graduate incomes.
For example, they might be risk averse and a risk averse personality might lead to other decisions that make more money. (or the opposite)
It would be easy for a fad to arise calling education unnecessary and a waste of time, and for people to consider the option to drop out less risky just because it gets talked about more. So even if the correlation held statistically now, in any year it could change just because the subgroup of risk-averse people are more likely to consider it. So you still couldn't use it to make permanent decisions(like creating a school system for hundreds of years).
Homeschooling vs. high school graduates would remove "choice to drop out" from the student, but then "choice to homeschool" on the parents might carry down genetically or culturally and maybe "aversion to government authority" improves earnings on average.
I try to reject all statistics on "easily understandable" social topics. Leave that for scientists only. It's too easy to make a mistake and not get any warning that you made a mistake, and believe wrong things your whole life.
All observable evidence shows those who complete their schooling in any form make more money
I don't care whether schooling causes or doesn't cause a benefit: You called it "trivial" by looking at statistics, and that supreme confidence that there can be no other explanation seems unjustified.
> Seems easy to prove wrong by trivially looking at high school dropout vs graduate incomes.
There is an implied statistical argument here that by plotting "did X drop out" on one axis and their future income on another, that a correlation would refute a statement that "Schools cause students to earn less".
Specifically, you would be:
1. Gathering many examples of individuals(a "population") with boolean "did they drop out?" V1, some income metric V2, maybe some others.
2. Comparing and aggregating V1 and V2 across the population
3. Using it to refute a statement S
That is a statistical argument for ~S because it involves comparing population aggregates. You may not have explicitly used the word "statistics" or realized you did it, but you made a statistical argument.Time to get over ourselves people.
Thats a tautology, not analysis.
A teacher spending an hour in front of 300 kids might create 300 buisinessmen, so have you accounted for their contributuon to the conomy?
Why are we tech people so arrogant about our career? We already make good money, no need to think we're better than others.
If you write software in any given year that gets used by thousands or millions of others, you may also be enabling great things - either in capabilities or reduced friction shipped.
Also, successful software gets used for a long time, with additional work adding value on top of previous value.
So software work is leveragable without fundamental limits across both space and time.
This space-time leverage is true of all automation design.
In contrast, well done online courses can "automate" learning, but not as completely. The highest quality teaching involves meeting many students individual needs. And there is nothing automated about most teaching.