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Joined 3 years ago
Cake day: July 18th, 2021
  • snek_boi@lemmy.mltoAsklemmy@lemmy.ml•If dolphins were discovered to be able to understand democracy and you were tasked to train/teach dolphins how it works, what method of voting would you designate for them?English
    2·
    16 days ago

    I should clarify - rather than ‘backfire,’ exaggeration in Majority Judgment either does nothing or carries a social cost. Here’s why:

    • If a minority exaggerates votes, the median stays unchanged.
    • If everyone exaggerates equally, the same winner emerges, but an artificial high tide of exaggerated grades obscures the real depth of public opinion. This defeats one of MJ’s key strengths: the ability to show when all candidates are viewed poorly and therefore create pressure for better options.

    Regarding partisan concerns: Yes, MJ is vulnerable if partisan blocks coordinate to exaggerate grades. However, MJ offers two meaningful advantages in a two-party system:

    1. Voters can grade third-party candidates highly without ‘wasting’ their vote, as they can still support their party’s candidate.
    2. Once again, poor candidates from both parties could receive revealing low grades, encouraging better alternatives.

    Of course, you were hinting at the fact that MJ’s success in a two-party system depends on fostering a political culture where candid evaluation flows more freely than partisan loyalty. But this is the current that all voting systems must swim against; partisan pressure can steer dolphins’ fins at the polling station regardless of the method used.

  • snek_boi@lemmy.mltoAsklemmy@lemmy.ml•If dolphins were discovered to be able to understand democracy and you were tasked to train/teach dolphins how it works, what method of voting would you designate for them?English
    1·
    17 days ago

    Either ranked-choice voting or majority judgement.

    Here's why

    Majority Judgment:

    1. Voters grade each candidate on a scale (e.g. Excellent, Good, Fair, Poor, Reject)
    2. The winner is determined by the highest median grade
    3. Ties are broken by measuring how many voters gave grades above and below the median

    Ranked Choice Voting:

    1. Voters rank candidates in order of preference
    2. If no candidate has >50%, the lowest-ranked candidate is eliminated
    3. Their votes transfer to those voters’ next choices
    4. Process repeats until someone has majority

    Majority Judgment optimizes for:

    1. Consensus/Compromise.

    By using median grades, it finds candidates who are “acceptable” to a broad swath of voters. A candidate strongly loved by 40% but strongly disliked by 60% will typically lose to someone viewed as “good enough” by most. This pushes politics toward centrist candidates who may not be anyone’s perfect choice but whom most find acceptable. The grading system lets voters express “this candidate meets/doesn’t meet my minimum standards” rather than just relative preferences

    2. Merit-based evaluation

    Voters judge each candidate against an absolute standard rather than just comparing them. This can help identify when all candidates are weak (if they all get low grades) or when multiple candidates are strong. It moves away from pure competition between candidates toward evaluation against civic ideals

    Ranked Choice Voting optimizes for:

    1. Coalition building

    By eliminating lowest-ranked candidates and redistributing votes, it rewards candidates who can be many voters’ second or third choice. This encourages candidates to appeal beyond their base and build broader coalitions. Unlike MJ, it’s more focused on relative preferences than absolute standards

    2. Elimination of “spoiler effects”

    Voters can support their true first choice without fear of helping their least favorite candidate win. This allows multiple similar candidates to run without splitting their shared base. The system is built around the idea that votes should transfer to ideologically similar alternatives

    Both systems optimize for honest voting more than plurality voting, but in different ways:

    MJ encourages honest evaluation because exaggerating grades can backfire if too many others don’t follow suit RCV encourages honest ranking because putting your true preference first doesn’t hurt your later choices

    The key philosophical difference is that:

    • MJ asks “What level of support does each candidate have across the whole electorate?”
    • RCV asks “Which candidate has the strongest coalition of support when similar preferences are consolidated?”

    This means MJ tends to favor broad acceptability while RCV tends to favor strong but potentially narrower bases of support that can build winning coalitions. Neither approach is inherently more democratic - they just emphasize different aspects of democratic decision-making. </details>

  • snek_boi@lemmy.mlOPtoAsklemmy@lemmy.ml•Do you consistently use Anki? Why?English
    1·
    26 days ago

    Thanks for sharing your method.

    As to your take on Anki, I think it’s fair and accurate. I agree with you in that the learning curve is not in the features or the interface, but as you said: in the pacing. I really hope I can try to space the cards as much as possible, so that a regular practice doesn’t become burdensome.