I think this is moreso a misunderstanding - surveys on their own, in raw form, are not science
There’s all kinds of bs that can come up like:
selection bias
response bias
general recollection errors/noise (especially for scary or traumatic experiences - there’s a bunch of papers on this behavior)
But data scientist can account for these by looking at things like sample selection (randomly selected so as to represent the nation/region/etc), pilot runs, transparency (fucking huge dude, tell everyone and anyone exactly what you did so we can help point out bullshit), and stuff like adjusting for non-responses.
Non responses are basically the idea that some people simply don’t give a fuck enough to do the survey. Think about a survey your Human Resources team at work might send out - people who fuckin hate working there and don’t see it changing anytime soon might not vote, which means there would be less people expressing their distaste which leads to a false narrative: that people like working there.
Hope this makes sense! Stay curious!!
PS/EDIT: Check out the SAGE method for data science for some more info! (There’s probably a YouTube vid instead of the book if you’d prefer I’m sure!)
I think this is moreso a misunderstanding - surveys on their own, in raw form, are not science
There’s all kinds of bs that can come up like:
But data scientist can account for these by looking at things like sample selection (randomly selected so as to represent the nation/region/etc), pilot runs, transparency (fucking huge dude, tell everyone and anyone exactly what you did so we can help point out bullshit), and stuff like adjusting for non-responses.
Non responses are basically the idea that some people simply don’t give a fuck enough to do the survey. Think about a survey your Human Resources team at work might send out - people who fuckin hate working there and don’t see it changing anytime soon might not vote, which means there would be less people expressing their distaste which leads to a false narrative: that people like working there.
Hope this makes sense! Stay curious!!
PS/EDIT: Check out the SAGE method for data science for some more info! (There’s probably a YouTube vid instead of the book if you’d prefer I’m sure!)