this post was submitted on 12 Oct 2024
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A model that explains well half of the data is as useful as a coin toss. But let's roll with it, and pretend that we got two superimposed Gartner cycles here.
The trough would be reached after a sharp drop after the peak, and based on the first peak it would be ~2 months long. That would explain only the period between 2023-07 and 2023-09; the rest of what I've pointed out in red is clearly something else, the nearest of what they look like would be a sick version of the "slope of enlightenment" - going down instead of up.
Yeah, the model doesn't work.
A better way to approach this is to consider three things:
Once you notice those things, it gets really easy to explain what's happening:
By analysing the data this way, not just we're describing it better, but we can also see where Mastodon needs to improve:
What I'm saying also partially applies to the "Fediverse link aggregators", like Lemmy. Lemmy does show some tendency to bleed users, but in smaller degree than Mastodon; but it's in a better position because there's only one big competitor, and it keeps fucking it up over and over.