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These are aggregate metrics. As such, individuals may have seen their salaries stay the same or even go up, but if the employees at the top of the pay scale ar
by comte7092 4y ago
These are aggregate metrics. As such, individuals may have seen their salaries stay the same or even go up, but if the employees at the top of the pay scale are removed (layed off, or even a simple selection bias in the dataset), the median will still drop.
- madboston 4y agoAlso wouldn't the dataset being from different number of people affect this? During 2021 probably much more people with higher pay self reported their pay on the website and 2022 just didn't see that much contribution?
- comte7092 4y agoThe number shouldn’t really matter as long as the 2022 number was of sufficient size. The primary concern is whether or not they were truly random/unbiased samples, which, is unlikely given that the data is self reported.