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>I'd love to hear a practical, actionable response to "I'm a senior FAANG who makes 75% of the "average" on levels.fyi. All other job offers I've seen are ± 2%
by tubby12345 5y ago
>I'd love to hear a practical, actionable response to "I'm a senior FAANG who makes 75% of the "average" on levels.fyi. All other job offers I've seen are ± 2% of that. What next?"
I have literally zero idea what are you're trying to express. There's no selection bias if everyone is FAANG is very well payed and everyone outside is not.
But if you really want to see something vaguely like that then go on blind and look for posts like "I'm making 650 as an E6 where should I go from here", the idea of which I'm sure just further confounds you but I'm sorry the data is very accurate (eg inside FB/Google/AMZN there's a group that openly discusses return offers for interns and it's always within a few percent of what is on the public side).
- ryandrake 5y agoYea, I removed the example scenario because it's kind of pointless, in order to zero in on bias. I don't see how there couldn't be sampling bias. Salary is a sensitive topic, and people who are making on the high range (within FAANG or outside of it) are going to be more likely to want to post about it and answer surveys about it than people in the low range. HN and Blind are obviously not random sampling. levels.fyi claims to use self-reported offer letters AND reach out directly to compensation folks at companies, which is better. But are these individual companies sharing unbiased data? When one encounters average numbers that are a little higher than their reality, it's disappointing but believable. When one encounters average numbers that just look just crazy, one begins to ask "am I really this much of an outlier or should I suspect methodology/bias?"