Programmers are confessing their sins to protest a broken job interview process

the question is asking if you seen that before, period.

I learned how to whiteboard through peers and career programs in college. There's a lot of people that don't have that guidance, or all those people to practice with. And there's a lot of people that will believe that flailing in their first whiteboard interview means they're unqualified to be a programmer, not realizing that it's a skill in itself.

Whiteboard questions also tend to be the nonsensical algorithms that you memorize for interviews and never use in practice, which again is influenced by one's peer group - you learn, study, and practice together. This also is why race and gender matter, even when you control for income and education.

The point isn't that these are insurmountable for someone from untraditional circumstances, but it is harder. And that means you let in weaker candidates with more advantaged upbringings in favor of stronger ones with less traditional ones. This is why google offers a seminar for all its interviewees to give them interview practice - so that people can start from a more equal playing field.

Obviously, a lot of the alternatives suffer from the same issues. But like all good programmers, I believe 1. this analysis and process is more important than the specific implementations, and 2. by understanding the issues and looking at the data, we can iterate to better solutions.

It appears that you have completely failed to realize that your example from British private schools regarding memorization is used to weed out the "riff raff" as it were. Don't want to hire "brown people", women, or other non-white privately-educated individuals? Institute a British-styled rote memorization test and make claims that it is fair because, "anyone can learn the requisite knowledge."

Whiteboard interviews are actually quite similar in both their implementation and impact!

The coding interview is a new phenomenon. In the 1990’s and early 00’s, these type of interviews were rare. Typical interviews were more well rounded with questions about interests (what do you want to do), past experience (what have you done), personality and culture (how do you like to work), as well as some technical and coding questions, often relevant to the actual job to be performed. Also some brain teasers like “why are manhole covers round” which Google has since condemned.

As someone who works largely on complex algorithms and mathematically oriented software such as video compression, speech recognition, and gesture recognition, I can say from experience that these tests frequently have nothing to do with what algorithm developers actually do. These are solved problems in CS such as how to sort data, how to implement a hash table, etc. In practice, developers rarely reinvent the wheel but rather use existing implementations in libraries or source code. The coding interview questions tend therefore to discriminate against older, more experienced developers who are many years past CS 101 or never took these classes.

About half of practicing developers are “self-taught” which typically means they come from some other STEM (Science, Technology, Engineering, or Mathematics) field where they learned to develop software by doing, not by taking CS classes. The tests tend to discriminate against them as well.

As for women and underrepresented minorities, which typically seems to mean people with visible African ancestry and Hispanics with visible American Indian ancestry, this is difficult for me to judge. But in general the CS101/201 data structures and algorithm coding interviews are not a test of the skills used in most (not all) professional software development.

What we can say is that these tests are also not blind tests of technical skill. They are analogous to the bad old days when orchestras auditioned prospective musicians by viewing the musician playing and few women ever made it through. The introduction of blind auditions where the candidates performed behind a sheet and with other measures to hide their gender, race, and other presumably unimportant factors — only the actual music was evaluated — seems to have resulted in an increase in women passing the auditions.

"They're equally competent except that they didn't go to a school like MIT or Carnegie Mellon known for the highest quality CS departments. They obviously would've been accepted if they were top-tier grad material, so they are qualitatively not the same as being equally competent to someone who graduated from one of those programs".

I do agree with you inasmuch as they need to be able to speak intelligently about CS. Whether or not they can recite some textbook taxonomy of algorithms, they need to know how to describe and critique an algorithm or describe how a program works.