I don't see that that would mean that the least significant digit wouldn't follow benford's law. Surely benfords law applies to each precinct. For any given candidates vote in any given precinct there is ~30% probability that the least significant digit is 1, an 18% probability that it is 2... start adding precincts and a curve should emerge...? No?
It feels like I'm missing something here. Could you explain?
To understand, you have to understand where that 30% comes from. What's the deal? What magic is this?
The answer is that log10(2)~0.30.
The 18% comes from the fact that log10(3)~.48.
In order to follow Benford's law, the kind of data that you are tracking has to be the sort of thing that has some sort of logarithmic element to it. Lots of natural processes have that sort of property. Another thing that has that sort of property is the product of a group of uniformly distributed random integers. In other words, if I roll a die 10 times, and multiply the results together, and take the first digit, the results will follow Benford's law.
On the other hand, sums of data won't do that. If I roll those same dice and add the results, there won't be any digit in there that follows Benford's law. Not the first. Not the last.
A lot of natural processes do follow Benford's law, because they have an exponential characteristic. That's why engineers use log paper a lot.
"How many people voted for Joe Biden in precinct X" is not the sort of thing you can plot on log paper.
So, how do those people who analyzed the Iranian election come up with something that follows Bedford's law? I have no idea. Products of two randomly selected precincts? I think that would work. I think the result might follow Bedford's law, if the results were legitimate. I really don't know how that all works. I don't know what numbers anyone selected to make that work with election data.