Since your a beginner, youll find nginx proxy manager easiest, it has a nice ui, and at this stage you are probably less intrested in the 10/10 fastest lighweight setup and more intrested in getting stuff working.
Yeah i wanted it to start as more believeable and get more ridiculous as it went on, that gradient is hard to get spot on though. I still think i did an alright job, just missed the mark slightly
Trump is a dictator, at least he is certainly acting like one.
All dictators, regardless of ideology, rule through fear. Being afraid is how they control people.
People generally aren't scared of the dictators themselves, I could defo beat trump 1 on 1, but rather are scared of what the mass of people that the dictator has scared into doing anything they want.
I personally feel that being fearful of trump is playing into his power, you can be angery, and upset or anything else, but to be scared is to give him control of your mind, and your actions.
I said to a mate a while ago that I thought that trump, (really the republicans), were possibly trying to overturn the enlightenment, and make the country in to a feudal society. Restore the world of gods and kings.
At the time it was a bit of a joke, but increasingly I'm more concerned about it.
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.
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.
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.
I kind like lemmy posts like this tbh But yeah a mailing list would be cool