I was playing around with Lemmy statistics the other day, and I decided to take the number of comments per post. Essentially a measure of engagement – the higher the number the more engaging the post is. Or in other words how many people were pissed off enough to comment, or had something they felt like sharing. The average for every single Lemmy instance was 8.208262964 comments per post.

So I modeled that with a Poisson distribution, and I learnt that to a 5% significance level, if your post got less than 4 comments, that was statistically significant. Or in other words – there is a 95% probability that something else caused it not to get more comments. Now that could be because it is an AMAZING post – it covered all the points and no one has anything left to say. Or it’s because it’s a crappy post and you should be ashamed in yourself. Similarly a “good post”, one that gets lots of comments, would be any post that gets more than 13 comments. Anything in-between 4 and 13 is just an average post.

To give you an idea of a more sweeping internet trend, the adage 1% 9% 90%, where 1% do the posting, 9% do the commenting, and 90% are lurkers – assuming each person does an average of 1 thing a day, suggests that c/p should be about 9 for all sites regardless of size.

Now what is more interesting is that comments per post varies by instance, lemmy.world for example has an engagement of 9.5 c/p and lemmy.ml has 4.8 c/p, this means that a “good post” on .ml is a post that gets 9 comments, whilst a “good post” on .world has to get 15 comments. On hexbear.net, you need 20 comments, to be a “good post”. I got the numbers for instance level comments and posts from here

This is a little bit silly, since a “good post”, by this metric, is really just a post that baits lots and lots of engagement, specifically in the form of comments – so if you are reading this you should comment, otherwise you are an awful person. No matter how meaningless the comment.

Anyway I thought that was cool.

  • zenforyen@feddit.org
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    17 days ago

    Haha nice bait, which I took to get some actually interesting statistics, well executed !

    Here is your comment, you deserve it. Now your post made it to “average”! You’re welcome.

    (Was there any correlation between upvote count and the comment-based metrics? That could also be pretty interesting)

    • Agosagror@lemmy.dbzer0.comOP
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      17 days ago

      I don’t 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!

  • JubilantJaguar@lemmy.world
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    17 days ago

    that could be because it is an AMAZING post – it covered all the points and no one has anything left to say

    Finally, I know why.

    • Otter@lemmy.ca
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      17 days ago

      This does happen with comments sometimes. I go into a post and someone has already eloquently said what I would have said (often better than I would have). So I upvote it and move along

    • Remember_the_tooth@lemmy.world
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      17 days ago

      Yeah, it was very informative, but I agree that we should test some of these hypotheses by avoiding a comment chain. Therefore, I, too, will forego commenting in the interest of science.

  • Grandwolf319@sh.itjust.works
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    17 days ago

    the higher the number the more engaging the post is. Or in other words how many people were pissed off enough to comment

    Omg, I’m so glad there isn’t any entity trying to boost this KPI like it’s the only thing that matters in the world.

  • OsrsNeedsF2P@lemmy.ml
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    17 days ago

    I think the community matters a lot more than the instance. Hexbear has a bunch of coping bubble communities but they keep posting the same low-quality comments, so that’s probably why the threshold of 20 comments is so high. Another example, I make posts to my own blog community !dginovker_blog@lemmy.ml, but there’s no subscribers so there’s never gonna be any comments.

    Basically I’m saying you should do this same analysis across a sample of random communities ^^

  • Null User Object@lemmy.world
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    17 days ago

    Now what is more interesting is that comments per post varies by instance, lemmy.world for example has an engagement of 9.5 c/p and lemmy.ml has 4.8 c/p

    I don’t understand what this is supposed to mean. The commenter’s account, or the community they posted to is on .world/.ml? Because those aren’t necessarily the same.

    • Agosagror@lemmy.dbzer0.comOP
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      17 days 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.