>>12012284I'm no expert but I think the wikipedia explanations are pretty good for most of these
>Many real-world examples of Benford's law arise from multiplicative fluctuations.[13] For example, if a stock price starts at $100, and then each day it gets multiplied by a randomly chosen factor between 0.99 and 1.01, then over an extended period the probability distribution of its price satisfies Benford's law with higher and higher accuracy.>The reason is that the logarithm of the stock price is undergoing a random walk, so over time its probability distribution will get more and more broad and smooth (see above)this would explain city populations and social media followers, since gains/losses are modeled by a multiplicative growth/shrink constant times the current "population"
volcano sizes might be one of the strange things that fit the bill. however, I think they're distributed over multiple orders of magnitude as well? you can have large and small volcanoes spreading a wide range, so maybe it's explained in the same way.