There are a couple of common situations:
- A poster makes a fallacy argument without understanding or intention.
- A poster makes a fallacy argument in bad faith.
I try to assess each situation as it comes up to determine the poster's intention. I think of you as one of the best debaters on RF. So I judged your earlier comment about bad data as being a bit of rhetoric designed not to discover what's true, but to "win" an argument.
My only argument was that such polls are not particularly accurate though
My 'complex, stats-filled example' had nothing to do with the stats, they were irrelevant. It was to do with the framing: positive/negative
Q18 Students should have the right to free speech on campus, even if what they are saying offends others.
Positive frame - rights: 75% in favour of free speech
Q19 Colleges and universities should be able to restrict student expression of political views that are hurtful or offensive to certain students.
Negative frame - hurtful/offensive: 57% support restrictions
Note, Q17 on discrimination may lead responders to think of this re Q19
Q17 In America today, discrimination against members of minority groups (ex: Black, Latino, or LGBTQ+ individuals) is a major problem.
Now add in the sample being non-representative (students from an opt-in database, paid to complete long survey), etc. Why should we trust that this is particularly accurate?