Yeah, there is only one of you.

Anarchism doesn’t really have a great answer to that question, and frankly I really dont think it needs one. It’s reckons that people who understand the freedoms they have will fight to maintain them, and it understands those ideas within the context of now, rather than trying to thread a shakey narrative through all of history. If you want men from 100 years ago to answer all your questions today then Marxism is probably closer to what you want

Doubtless you can find Anarchist arguing about that question, its a good question. But at its core Anarchism is a more of a philosophy rather than an ideology. Its a collection of tools that one can employ to solve problems and win concessions from authority.

That said if you want to see some of said argument, The Dawn of Everything by David Graeber and David Wengrow gives some nice answers. And does so whilst trying to build on the up to date evidence about what life was like that long ago.

Be male Be a roman catholic Get enough cardinals to vote for you

Well yeah they are trying to build what was basically vapourware. Thrive dev timelines are slow as fuck.

I did this once by accident, I deleted every file that had KDE as a dependency recursively. As well as every file that KDE listed as a dependency, recursively.

Lesson learnt

I actually thought it was the onion

Is this KDE? Woah.

I believe that Scotland was trying to build law off of the fact that transwomen counted as women under the equality act. But frankly this whole case has been blown up to cause outrage, and in the process what is actually going on has been badly reported on. So I might be wrong.

Isn’t this the same site that was “exposed” on here a while ago, or am I mixing that up

Yeah, I’ve been reading more Anarchist stuff lately… Theory still gives me the equivilant feeling as watching paint dry.But I am slowly overcoming that.

I don’t fully understand this, beyond the obvious wackyness. The notion that America could take Canada is slightly insane.

I don’t doubt that they could take the cities in the south, but Trump doesn’t want those, he wants the mineral rich north, that’s covered in snow and ice.

I suspect that Canadians would just end up fighting quite a gruelling guerilla war in the north, whilst allowing Americans to struggle. Until Trump calls it quits.

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Best of luck, out of curiousity, where are you headed?

Well exactly, that was kind of the point of this post. Hence “good post” being in air quotes. It being a silly idea as well.

Completely agree with you on that last point.

I actually plotted the top 50 or so instances, with user size against comments/post. One of the many outlier instances was lemmynsfw.com which obviously lacks all that much engagement, with a score of around 1 c/p. Which makes quite a bit of sense when you think about it.

Well exactly, I’ve said this elsewhere in this thread, this was mostly something that I thought was cool. That said I might try and figure out how to include that data, if I can find it.

I’m stunned about Lemmy.one That was my first instance, stunning that they are unmoderated.

Presumably where you posted it, given that local feeds show posts based, not on if someone is on the instance, but rather which instance the post is made on. The model I used is litterally the most basic thing in the world, so I just cobbled something together that was somewhat meaningful. I only took college stats, so complex models are out of my range.

Look, I survived statistics class. I will stride to defend some of my post.

but it doesn’t explain what alternative hypothesis you’re leaning toward—high engagement versus low engagement isn’t inherently “good” or “bad” without further context.

Namely that much of the aim of it was to show that an metric like comment count doesn’t imply that it was a good or bad post - hence the bizarre engagement bait at the end. And also why all of the “good posts” were in quotes.

you might add a step that actually calculates the p-value for an observed comment count. This would give you a clearer measure of how “unusual” your observation is under your model.

I’m under the impression that whilst you can do a Hypothesis test by calculating the probability of the test statistic occurring, you can also do it by showing that the result is in the critical regions. Which can be useful if you want to know if a result is meaningful based on what the number is, rather than having to calculate probabilities. For a post of this nature, it makes no sense to find a p value for a specific post, since I want numbers of comments that anyone for any post can compare against. Calculating a p-value for an observed comment count makes no sense to me here, since it’s meaningless to basically everyone on this platform.

Using critical regions based on the Poisson distribution can be useful to flag unusual observations. However, you need to be careful that the interpretation of those regions aligns with the hypothesis test framework. For instance, simply saying that fewer than 4 comments falls in the “critical region” implies that you reject the null when observing such counts

Truthfully I wasn’t doing a hypothesis test - and I don’t say I am in the post - although your original reply confused me - so I thought I was, I was finding critical regions and interpreting them, however I’m also under the impression that you can do 2 tailed tests, although I did make a mistake by not splitting the significance level in half for each tail. :(. I should have been clearer that I wasn’t doing a hypothesis test, rather calculating critical regions.

It doesn’t seem like you are saying I’m wrong, rather that my model sucks - which is true. And that my workings are weird - it’s a Lemmy post not a science paper. That said, I didn’t quite expect this post to do so well, so I’ve edited the middle section to be clearer as to what I was trying to do.

Oh yeah ok, so I was going to figure out to put “H0 : L = 8.2”, and “H1 != 8.2, X~Po(8.2), P(c<=X<=c2) => c=?, c2=?” but I left it out because I couldn’t format it in a way that looked half decent in a Lemmy post.

I found the critical regions of the Poisson distribution, that takes the mean to be the average comments/post for the fediverse. I then interpreted those numbers, which I where I assume I’ve made a mistake. As if it was outside of the critical region, that would mean H1, but we know H1 is wrong, since we already have a value for L. It sounds like your interpretation of what I did is bang on. Yeah I get that it isn’t a hypothesis test, but at the level of my stats exams - finding the critical regions was 99% of the work in a hypothesis test.

I only took college level statistics like I said in another reply. I just thought it was cool to see all the instances comments/post ratio. It doesn’t help that my stats teacher was the most boring man alive, and I was always much preferred the pure side of the maths course.