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I'm not clear why this is being down voted, this was drilled pretty hard into my head the first time I had a job that relied on stats.


I am reasonably mathy and I don't understand the statement. That plus the topic -- sexism in tech generally, especially Damore -- makes me think the motivation for down voting it is probably "political." ie it sounds like it could be supporting Damore's position, much of the world has decided he is an evil sexist pig etc.


I was reasonably mathy too, but stats was pretty different and I only took a couple semesters of it. It wasn't until I was forced to interact with it in a job setting that the inverse relationship between type I & II errors became really apparent to me. Any time I would crank up settings to reduce type I error, keeping all other things the same, type II error would invariably creep up... and v. versa

Then when looking in to it, I saw a lot of the examples given from the medical industry as GP alludes to, where this is a real big problem (e.g. if your test is 99.999% accurate, but has a 0.001% false positive rate, then if your disease actually only affects 1/1000000 people then the overwhelming majority of people who your test select are actually healthy).

And then I went back and actually read the relevant sections on the stats textbooks for my courses and learned that

(a) it was actually in there, and (b) evidently my stats courses were way, way too easy to pass

As for the reply, I think I figured out why it was downvoted. It was a double-post, and the intended GGP was here:

https://news.ycombinator.com/item?id=16398560

Where it makes much more sense.


Alas, this is the 1st time I posted it.

There was a heavy bias to down voting all of my comments for the first 4-6 hours, which evened out to the opposite over time. I usually see this pattern in gender-related threads


FWIW, I upvoted your comment for being mathematically correct, even though I was a bit confused as you meant to reply to someone else.




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