• 14 Posts
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Joined 1 year ago
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Cake day: June 6th, 2023

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  • I mean, yeah, 1000 people is enough assuming there’s no sampling bias. But if you’ve got sampling bias, increasing the sampling size won’t actually help you. The issue you’re talking about is unrelated to how many people you talk to.

    Your own suggestion of splitting up the respondents by state would itself introduce sampling bias, way over sampling low population states and way under sampling high population states. The survey was interested in the opinions of the nation as a whole, so arbitrary binning by states would be a big mistake. You want your sampling procedure to have equal change of returning a response from any random person in the nation. With a sample size of 1000, you’re not going to have much random-induced bias for one location or another, aside from population density, which is fine because the survey is about USA people and not people in sub-USA locations.


  • Bob@midwest.socialtoMicroblog Memes@lemmy.worldPrice gouging
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    5 months ago

    The oil companies reconglomerated, in part, because we stopped enforcing anti-trust nearly as much as originally intended when we started using the stupid-ass Chicago school of thought from the 1970s onwards. It’s only in the last ten years or so that’s it’s become legally reasonable to say “hey actually the Chicago school of though kinda sucks.” Standard Oil in particular is a bad anti-trust example because Rockefeller was such a personality cult that everyone around him was completely wrapped around his finger. In any case, you can still punish companies for price fixing if you’ve force them to be legally separate, which you can’t do if it’s all one legal organization.

    The telecom industry is another example where anti-trust break-ups didn’t lead to more competition, for somewhat similar reasons. They were broken up by geographic regions and each region made gentlemen’s agreements not to expand into each other’s territory. When we stopped enforcing anti-trust as much, they bought each other out.

    In general, however, breaking up monopolies is effective, so long as doing so actually creates competition in the marketplace. This is most effective in markets with low barriers to entry or ones where there’s already a large number of smaller companies that are simply too small for meaningful competition with mega-corp. It’s least effective in markets with extremely high barriers to entry or ones where it’s easy to collude and get away with it. In any case, it’s still worth it to break up monopolistic companies because it still reduces their power, even if it does so more effectively in some markets than others. Among other benefits, it makes it easier for new competitors to establish themselves in the market, since their competitors have a harder time utilizing unfair practices the smaller they are.























  • Yeah I mean, voting data is messy. You’re trying very hard to interpret the data in only the way you want to. You’re the one who claims 50% picking 1 out of 4 doesn’t conform to expectations. I think that’s perfectly acceptable. If you look at the Democratic Primary Polling Data again, you’ll find that, in practice, RCV, Approval, and Score generally agree on the overall results. You seem to think that voters choosing only some candidates is somehow a failure of the system. How many do you want them to pick before it’s an acceptable number?

    I made sure not to make claims about the sources unless they were true. It would be ridiculous to do otherwise. You’re taking claims I made elsewhere and applying them to things I didn’t point to. I have read and understood the entirety of every link I shared. I’m not going to be posting things I can’t explain. Different sources have different purposes, to dive into to details if each (which do not always agree with each other) would be further complicating an already nitpicky argument. You asked for more variation in sources, I provided more variation in sources. What would have been an acceptable but not excessive number?

    You claimed you easily created nonsensical models, but have failed to produce your examples. You’re the one who has to provide proof of your claims, because just like you said, I can’t prove a negative. I already provided a graphical example of RCV misbehaving. Can you provide an example of the others?

    You keep claiming we have plenty of data on RCV but then don’t reference any of it. Typically election officials don’t release the ballots, so it’s impossible to actually say what kind of election happened under RCV. The spoiler rate estimates for RCV elections are all over the place.

    You’ve got the definition of a spoiler wrong. Spoiler candidates are a losing candidate that changes the winner of the race without a change in voter preferences. If you let voter opinions change, anything you try to say about the voting system is virtually meaningless.

    Anyway dude, you’re clearly not interested in having a productive conversation. The only reason I’m replying is to make sure at least some of your assumptions and wrong claims are publicly countered, but at this point I really am going to say goodbye. I get the feeling that you’d somehow argue I didn’t address half your points but also gave a wall of text.

    Say what you want, I’m done. I again wish you and the RCV crowd well (it’s not a terrible system) and hope we have some epic national stage showdown in the future.


  • If 50% of voters picking 1 person out of 4 is “most,” then “most” people also voted for 2 or 3 out of 4. I shouldn’t have to point out that you can’t really have two exclusive groups both claiming “most.”

    I’m using CES so heavily because they’re the ones with good data and write-ups, but I can dump more data from other sources if you’re interested.

    A different interactive simulation where RCV usually agrees with the minority. Notice that it also fails to even be resolvable with certain opinions and so doesn’t get calculated at all.

    RCV can hide second choices when first choices win or make it to the finals. Arguing that’s the correct result under RCV is circular reasoning, and the results fail to show the true support of the other candidates, which is important for future elections, where people judge who to vote for based on past results.

    2023 Chicago Mayor election, multiple voting method polling data. Yes, the sampling method produced bias in the responses. The takeaway is not found in absolute, but comparative results.

    Higher dimensional election modeling.

    The spoiler rate under RCV is not insignificant, and at the very least, difficult to understand. Your voting method should not be difficult to understand. Do you want even more claims of a stolen election? That’s how you get even more claims of a stolen election.

    The incentive to vote for one person also incentivizes you to cast a safety vote. You can’t have it both ways. Either the system will encourage people to vote for a candidate they don’t like, or it will encourage people to only vote their favorite. It can’t do both.

    Also, can you show me those nonsensical spacial models under approval? I tried to create one and failed. If you create one, can you show the results for all four methods with that same candidate set?

    Anyway, I don’t think we’re going to be having a productive conversation beyond this. I sincerely hope that RCV continues succeeding, despite its flawed nature, I think we can both degree it’s better than our current system. I hope both approval and RCV take over the country and are forced into an ultimate showdown.

    Cheers!