|
|
|
|
|
by shkkmo
346 days ago
|
|
> That is both a large sample size, It doesn't matter how large your sample size is if your sampling method is biased. This could be measuring market share gain/loss in different segments of a steady employment environment. > disregarding the entire report as noise Studies with bad / non public sampling methods should be, at a minimum, treated with great skepticism. Why would that not apply here? |
|
The trend is useful, since one can fairly safely assume that most of the biases haven't radically changed.