Obviously you are allowed to vent on your own blog, and I didn't realise you didn't want responses that might clarify/clear up confusion and mistakes - sorry about that!
Seems like you should call it something else then like the non binary survey
I've got a thing in the FAQ that kind of relates to this a bit:
I have to avoid words like “binary” and “nonbinary” in the criteria for who is invited to take part, in order to be fully inclusive and avoid bias.
Basically, there are a lot of people who are failed by the binary model of gender, who don't identify as nonbinary. And if you're studying how often people use a particular word, you can't really include that word in the marketing, because it biases the results.
Like, yes, we know that "nonbinary" is a word that a lot of people use to describe themselves, and the reason that data is in any way reliable is because it doesn't call itself "the nonbinary survey". Right?
Make a survey called the nonbinary survey
Ask participants if they're nonbinary
100% of participants say they're nonbinary because they took part because it was called "the nonbinary survey" and they identify with that
Researcher declares all humans nonbinary
That wouldn't be very science 🧐
Anyway, I do try very hard to lean heavy on the not-binary part in promotional stuff, just because I don't want to waste anyone's time. But I have to do that very carefully because I don't want to bias the results.
Like the image with the boxes with the Mars and Venus symbols on, right? It doesn't say "male" and "female", it implies it. And It refers to the gender binary in simplified ways so that people who aren't familiar with queer theory will understand and jump in. But at the same time, a binary trans woman, for example, would be like, "well I do fit into that Venus box really. So, this is probably not for me." And if she doesn't say that, she is probably invited into the sample anyway!
The survey is open to [anyone who] feels that the gender binary doesn’t fully describe their experience of themselves and their gender(s) or lack thereof.
Again, very carefully written to imply "not binary trans people" without saying it outright, because there will always be people in the grey area who do belong in the sample.
