I think the point here is people tend to reject survey data because they can only see some tiny minimal subset of the data and it doesn’t match in aggregate.

In this situation often the smaller dataset is wrong.

...not always. But often.

Human intuition based on limited data can seem compelling, but it’s always worth acknowledging you might be the outlier.

18000 respondents is a lot, especially when a specific effort has been made to sample from various sources.

The parent post didn’t even bother to check their own biases.

Another thing that I've noticed is that often what we, humans, feel makes intuitive sense (and therefore must be correct), when you actually look at the data, is often very wrong. Just because it makes sense to us doesn't mean its correct. Basically, humans are naturally biased not only towards certain held beliefs, but also towards things that just "sound" correct, regardless of what the reality is. It makes sense though, if an explanation of something is understandable to us, then we can think about it logically (or otherwise) and come to conclusions, but unfortunately often things that are understandable are also based on flawed assumptions.

I don't know if that's the case here, but I do often think that people gravitate towards the first thing that they can understand that seems to, at a glance, check out, without investigating.