Agosagror
@Agosagror@lemmy.dbzer0.com
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
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.
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
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.
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
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.
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
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
Truthly 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.
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
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, or whatever. 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.
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.
- Comment on Determining the reason no one replied to your Lemmy post. 1 week ago:
I do have any data for upvote count/ comment based metrics. If you have any sites that happen to have that data, send it my way, that’d be amazing!
- Submitted 1 week ago to fediverse@lemmy.world | 124 comments
- Comment on 2 Instances are being used for coordinated vote manipulation, and should be defederated. chinese.lol lemmy.doesnotexist.club 2 weeks ago:
Which person? OP? The guy you are replying to? Or the spam voter?
- Comment on Servo vs Ladybird. 4 weeks ago:
Primeagen interviewed the creator, who basically said they chose swift because it was fun. Other languages they tried were less fun.
- Comment on [deleted] 1 month ago:
You sound like a wannabe grandpa “When are my grandkids coming dear, I want to see them before I pass”
- Comment on Working below minimum wage to save the planet 2 months ago:
Toy production, I have one - the main use is making whatever toys I think are cool. You want more LEGO - 3D print it. You want something to throw something for your dog, 3D print it.
Admittedly those aren’t use cases so much as hobbies. Occasionally you can 3D print a repair for a curtain hook or something. But everyone likes toys, even adults.
