https://nitter.net/RichardHanania/status/1720992936052306000

  • booty [he/him]
    ·
    1 year ago

    yes, male 14.4%

    yes, female 1.8%

    Fellas. What the fuck? My bros. Some of y'all need to beat the fuck out of some of your associates.

      • Othello
        ·
        edit-2
        8 days ago

        deleted by creator

        • autismdragon [he/him, they/them]
          hexagon
          ·
          1 year ago

          One of the replies is from an apparently known account saying she wish she had the chance or something like that. Grim.

          • Othello
            ·
            edit-2
            8 days ago

            deleted by creator

          • AcidSmiley [she/her]
            ·
            1 year ago

            I was under the assumption that Hanania had wanted that exact kind of reply when he made the poll so he can slide into their DMs.

            • autismdragon [he/him, they/them]
              hexagon
              ·
              1 year ago

              To be clear account owner is very much an adult saying this. It was something like "wish I had a time machine so i could go back and do this".

      • booty [he/him]
        ·
        1 year ago

        oh jeez, i wasnt even thinking that through. yeah holy shit

    • Tachanka [comrade/them]
      ·
      edit-2
      1 year ago

      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. nerd

      1. 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.

      2. 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

      3. 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.