• Victor@lemmy.world
    link
    fedilink
    English
    arrow-up
    17
    ·
    19 days ago

    Is this really the case? Does the electoral system really affect tuition like this? Or is it just another case of correlation rather than causation?

    Very curious correlation nonetheless. 👌

    • Beaver@lemmy.caOPM
      link
      fedilink
      English
      arrow-up
      8
      arrow-down
      4
      ·
      19 days ago

      Proportional Representation is more representative of the will of the people as it represents 95% of the vote. People deserve better than the two establishment parties.

      • Victor@lemmy.world
        link
        fedilink
        English
        arrow-up
        2
        ·
        edit-2
        17 days ago

        Two established parties? Is this a comment on American politics?

        But yes, I agree regarding proportional representation. Greetings from Sweden! ✌️

        • Beaver@lemmy.caOPM
          link
          fedilink
          English
          arrow-up
          2
          ·
          17 days ago

          Canada often swings towards conservatives or liberals as coalitions do not happen often.

    • SmoothOperator@lemmy.world
      link
      fedilink
      arrow-up
      3
      ·
      edit-2
      18 days ago

      Causation can be neither proven nor disproven with so few data points, especially since there’s a lot of other correlations going on. For example, the high tuition WTA countries are also mostly former parts of the British Empire, with Britain having a somewhat different history of higher education and democracy than continental Europe, who takes up all of the spots on the Free Tuition side. So the cause might just be inheriting s particular system from Britain.

      But PR and free tuition is of course superior.

      • Victor@lemmy.world
        link
        fedilink
        English
        arrow-up
        1
        ·
        17 days ago

        Causation can sometimes not be proven with all the data points (full population). Sometimes statistics are not enough to prove causation.

        Anyways, I like your analysis!