@mcfly
cant believe theres not more 1337
@mcfly
i wonder how the black spots come to be, i assume the mid orange is what banks randomly assign, the bright areas are what people choose when reassigning, and the black spots probably numbers the banks filter out, which raises the question why they dont give out these specific numbers, like, what makes them special?
@therealkuu @mcfly
This array is 10,000 positions and they analyzed 3.4m codes.
That's an average of "only" 340 per square, but as we can see, humans are weak, so there's an over-representation in some areas, so the mid orange is less than 340. Probably about half.
My guess is it's not unimaginable that those are just random numbers that are not found in the sample. No particular reason to filter them out.
@MennoWolff
dunno, i think then we would see a more even distribution of the darker colors, but its mostly the darkest one plus one step brighter but the other stuff between orange and black is mostly missing
@mcfly
@MennoWolff
at this point im kinda interested in just having the data pure without the quantisation of the graphic, that would make it so much easier
@mcfly
@therealkuu @mcfly
Yeah, would be interesting.
Of course, we don't know the meaning of the colours. It's entirely possible the black dots are <10 or so.
I'd be surprised if banks filter much more than 1234 and 000x/x000