Now that we have final numbers. It appears that Harris had all the white & black support she needed for an EC victory. But Trump outright flipping Latino men and making huge gains with Latino women seems to have made all the difference.

What do you think?

First image is 2024, second is 2020.

  • deegeese
    link
    fedilink
    arrow-up
    53
    arrow-down
    5
    ·
    7 hours ago

    I think white men and white women bear more of the blame here purely by population size.

    • Pennomi@lemmy.world
      link
      fedilink
      English
      arrow-up
      15
      ·
      6 hours ago

      With how thin our election margins are, I wonder if literally just misogynists can swing the election. Would 1 in 100 Americans refuse to vote for a woman for president? I think maybe yes.

      • FourPacketsOfPeanuts@lemmy.world
        link
        fedilink
        arrow-up
        14
        ·
        edit-2
        5 hours ago

        It’s hard to separate out the factors. Would a man have also struggled with a campaign starting so late (and doing so poorly in a previous primary). Would a white women? How can we separate out the influence of race, sex and the less than ideal running circumstances.

        Given who she is, and running when she had to, she actually did pretty damn well.

        Tbh looking for blame beyond Biden seems pointless to me. She has every sign of having been able to win over more people had she been prepped as the nominee from the start…

    • hendrik@palaver.p3x.de
      link
      fedilink
      English
      arrow-up
      18
      arrow-down
      3
      ·
      edit-2
      6 hours ago

      Agreed. Despite all the nuances (which are important, too)… Judging by this table, the biggest total blame is on white men, followed by white women and latino men, though there aren’t that many of them. But I feel i need to say this doesn’t have anything to do with ethnicity. You could also make a chart of city vs rural areas or several other factors and you’d probably also find interesting correlations and shifts in opinion.