e6 user activity grows, this means new posts tend to have more activity than older ones (comments, favourites, upvotes, reposts)
At the same time, as more entries are added, older posts become harder to find and get less recognition.
I'd like to have a feature that attempts to normalize these scores that one could sort by, to reduce the effects of stat inflation on the e6 score economy.
Similarly, there is the effects of compounding scores where that which is popular is more likely to garner higher scores.
e.g. someone searching for the highest score post will find it and upvote it, furthering its ability to be found via that same method and getting more upvotes.
The snowball effect is also bad for downvote storms.
So I think having some manner of sorting by a normalized score would be very healthy for e6, maybe give a little more objectivity to the posts.
I don't know what's possible but I imagine the easiest implementation would be some factor based on post age could be done with some model of activity growth overtime.
I think this is something we really need today.
If you apply score:>2000, you can see the first was uploaded 9 years ago.
The next >2k post took 3 years to show, and was from Zonkpunch. Zonkpunch takes the next 4 >2k posts before 1 year later we get MikeInel.
Again a year later for the next 2k from Fuzzamorous.
If we look at the other end, we got one 4 days ago, 10, 16, 19, 22, 23, 24 and then finally 1 month ago.
Don't get me wrong, they're great posts and we have tons of great artists that have stuck around. No doubt if the top artists are consistently uploading frequently you'll get this same effect, but I think it's pretty clear that it's much easier to get high scores now than it used to be. I also know there's been some inferior/duplicate replacements but even so, could anyone imagine having a 5k score 5 years ago? Our first 5k score post was last year... And 6 months later we have a 10k.
With the score:>2000 search, 249 results are from the past 2 years. There are only 21 before that. Over 10X as many in 1/4th the time.