Lots of folks assume more N is always better but not if your sampling design or methods are flawed. If your sample is biased, a larger N will make your estimates more precise, but still wrong.
Statisticians refer to this as the ābig data paradoxā. A good intro here:
add a skeleton here at some point
10 months ago