Earlier quoted context omitted.
Research into who brings value, what technologies improve efficiency, has been inconclusive. The models end up with so many variables the conclusions are meaningless; any one parameter is insufficient, all the parameters needed mean no one parameter is greater than another. How can a value assessment being useful given all the required context that also has to exist? Is it a measure of value or traditional human bias…
I think there's a bit of a misunderstanding in what interviewers are testing for. Interviewers at most companies aren't trying to evaluate or quantify a candidate's inherent value or general technical prowess. They're trying to determine whether or not the candidate can help solve immediate and real problems that the company has, while also trying to get a sense of whether the candidate has the potential to grow with…
I never consented to this culture. I see little different here than a church, meat based tape recorders thinking the noises they emit are “the way” with little proof except “feudal capitalism” continues to “work”.
We don’t owe deference and agency to CEOs, VCs, and founders. The syntax is different but the LARP of being sheep for “wise men” is the same.
Only 13% of the country has an advanced degree (mine is MSc in math earned in the 90s; I’m old) and knowledge is not locked away in those heads. Education does not make people infallible and omniscient.
This is a result of traditional political memes; owners rule, everyone else drools. The filtering and sorting inside that cognitive bubble is just the proles making proles dance like jesters. No scientific theory makes this the one true way of organizing effort.
Memorizing semantics is not proof they’re correct. If GME can be shorted to the extent it is despite that being illegal, our institutions are built on deference to BS, since that system is the bedrock used to prop up tech VCs.