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Re:What does a leaked Google memo reveal about the future of... by MrScruff on Sunday May 14, 2023 @11:16AM (#35938612)
It matters because the memo as being portrayed as 'the opinion of Google' by websites looking for clicks.

The opinion is as relevant or not as any opinion expressed on Hacker News, the fact that the person who expressed it works for Google is irrelevant.

Re:What does a leaked Google memo reveal about the future of... by startupsfail on Sunday May 14, 2023 @12:07PM (#35938985)
Well, there a honest opinion of an unbiased engineer, ideally a researcher who was trained to filter his own biases, from the inside of the organization , speaking honesty is likely the best approximation that you can get for “an opinion of Google”.

It is important that the engineer is an insider, as from outside of Google access to its internal knowledge is limited.

Re:What does a leaked Google memo reveal about the future of... by skybrian on Sunday May 14, 2023 @12:39PM (#35939225)
Googlers are no more unbiased than someone who gets a job somewhere else. Getting a job at Google might affect your opinions somewhat when you see what people are doing, but there is no special training in being unbiased.

Also, the document we're discussing was not written as a serious research paper. It's a more like one of Steve Yegge's rants, written to be provocative.

Re:What does a leaked Google memo reveal about the future of... by mattlondon on Sunday May 14, 2023 @01:13PM (#35939478)
> but there is no special training in being unbiased

Citation needed! ;-)

Re:What does a leaked Google memo reveal about the future of... by skybrian on Sunday May 14, 2023 @01:42PM (#35939756)
Well, I didn't get any training like that when I worked there, but it was a long time ago and I don't know what they're teaching Nooglers these days.

I suppose you might be referring to diversity training, but it's not the same thing.

Re:What does a leaked Google memo reveal about the future of... by startupsfail on Sunday May 14, 2023 @07:19PM (#35942232)
Understanding and preventing unwanted biases is a part of basic training in science, statistics and experimental design.