First thought is that trans women who are attracted to men can rest easy knowing cis men are at the very least interested in trans content.
Second thought is that those numbers for everyone on the masculine side of things are lower than expected. Like way lower.
The unsure/questioning category might be hiding some with either a bluish or pinkish hue. Though I fully understand there’s a limit to splitting this one into “questioning fem”, “questioning masc”, “questioning nbin”, “questioning fluid”, etc. This is where you bring in the multi-question form where you first establish if someone is sure, then ask them about their identity (or the one they’re questioning).
Statistically speaking, this is where you start asking yourself if your data is reliable enough to draw any kind of conclusions from. Which it probably isn’t. The only reliable conclusions (that you would likely also see if you did a n=10k study) I could probably draw from these results are these:
The survey has reached a lot of cis men, which probably means cis men are more interested in trans content in general than one might think.
Anything feminine outnumbers anything masculine, at least for this platform.
Bonus thought: I love that strawpoll actually takes data visualization seriously and presents both a properly formatted pie chart and a bar graph. For anyone wondering: A properly formatted pie chart starts at 12 o’clock, is sorted highest to lowest and does not use any fancy 3D effects. Any other visualization relies on labeled percentages to inform the viewer. And if those are absent, you just have to judge which slice is bigger. Visualizing the data the way Strawpoll does here makes absolutely sure no one can misinterpret the results.
First thought is that trans women who are attracted to men can rest easy knowing cis men are at the very least interested in trans content.
Second thought is that those numbers for everyone on the masculine side of things are lower than expected. Like way lower.
The unsure/questioning category might be hiding some with either a bluish or pinkish hue. Though I fully understand there’s a limit to splitting this one into “questioning fem”, “questioning masc”, “questioning nbin”, “questioning fluid”, etc. This is where you bring in the multi-question form where you first establish if someone is sure, then ask them about their identity (or the one they’re questioning).
Statistically speaking, this is where you start asking yourself if your data is reliable enough to draw any kind of conclusions from. Which it probably isn’t. The only reliable conclusions (that you would likely also see if you did a n=10k study) I could probably draw from these results are these:
Bonus thought: I love that strawpoll actually takes data visualization seriously and presents both a properly formatted pie chart and a bar graph. For anyone wondering: A properly formatted pie chart starts at 12 o’clock, is sorted highest to lowest and does not use any fancy 3D effects. Any other visualization relies on labeled percentages to inform the viewer. And if those are absent, you just have to judge which slice is bigger. Visualizing the data the way Strawpoll does here makes absolutely sure no one can misinterpret the results.