Fellas. What the fuck? My bros. Some of y'all need to beat the fuck out of some of your associates.
agreed on principle (fuck patriarchy) but I feel compelled to point a few things out.
twitter polls are dogshit since they are only reflective of the opinions of a given person's followers. richard hanania is some right wing pundit (I had to look him up), so of course his audience is like this.
since way more male-identifying are answering his poll than female-identifying, of course the numbers for both "yes" and "no" are higher. All this tells you is that 88.1% of the poll's respondents are "male". The remaining 11.9% are female. So you just have a much bigger male sample size. Which makes sense. It's a male right wing pundit on twitter. This ties back with point #1
If you want to find out the actual yes-to-no ratio, you have to isolate the gender. 1.8/10.2 = 0.1765.... so about 17.65% of "females" answered "yes" ... 14.4/73.7 = 0.1954... so about 19.54% of "males" answered "yes". Once you isolate the gender, you find out that both the "males" and "females" following this right wing pundit on twitter answered similarly. Of course the "males" have a much larger sample size.
agreed on principle (fuck patriarchy) but I feel compelled to point a few things out.
twitter polls are dogshit since they are only reflective of the opinions of a given person's followers. richard hanania is some right wing pundit (I had to look him up), so of course his audience is like this.
since way more male-identifying are answering his poll than female-identifying, of course the numbers for both "yes" and "no" are higher. All this tells you is that 88.1% of the poll's respondents are "male". The remaining 11.9% are female. So you just have a much bigger male sample size. Which makes sense. It's a male right wing pundit on twitter. This ties back with point #1
If you want to find out the actual yes-to-no ratio, you have to isolate the gender. 1.8/10.2 = 0.1765.... so about 17.65% of "females" answered "yes" ... 14.4/73.7 = 0.1954... so about 19.54% of "males" answered "yes". Once you isolate the gender, you find out that both the "males" and "females" following this right wing pundit on twitter answered similarly. Of course the "males" have a much larger sample size.