this post was submitted on 31 Aug 2024
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The unofficial non-partisan Lemmy movement to bring proportional representation to all levels of government in Canada.

🗳️Voters deserve more choice and accountability from all politicians.


Le mouvement non officiel et non partisan de Lemmy visant à introduire la représentation proportionnelle à tous les niveaux de gouvernement au Canada.

🗳️Les électeurs méritent davantage de choix et de responsabilité de la part de tous les politiciens.




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[–] victorz@lemmy.world 17 points 11 months ago (2 children)

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.ca 4 points 11 months ago (1 children)

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.

[–] victorz@lemmy.world 2 points 11 months ago* (last edited 11 months ago) (1 children)

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

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

[–] Beaver@lemmy.ca 2 points 11 months ago

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

[–] SmoothOperator@lemmy.world 3 points 11 months ago* (last edited 11 months ago) (1 children)

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.

[–] victorz@lemmy.world 1 points 11 months 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!