I’m sure it’s researchable. Like computing the percentage full blocks over time as a line chart. From the shape of that curve we should be able to reasonably predict when we’ll hit, say, 95% or 99% full by some sliding window (monthly, weekly, yearly, etc.)
Discussion
this sounds harder than that but it would be an interesting topic of research, might do some digging later on my own..
out of curiosity have you read the riot report from a while back? https://drive.google.com/file/d/1yzjZJB20A74vQb0-wey18VEELklme1Rq/view
Just skimmed it. Seems good. The charts look too volatile to use for predictions at first glance. Might need log scale? Hard to say.