but… why?
https://en.m.wikipedia.org/wiki/Benford's_law
Look at the logarithmic scale. This law has to do with number sets in the wild, so apparently the scaling is flat over the set of data they examined. If you look at the distribution of the number sets over the logarithmic scale, they are evenly distributed. If you looked at the same numbers on a linear scale, they would become more and more sparse as they grow in size.
Cool! Now imagine I’ve got severe brain damage… can you explain that again?
The further left you are in a number, the more likely it is that the digit will be small
What a great explanation! Thanks for dumbing it down.
So if I rolled a 10 sided dice 1000 times 30% of those rolls would be a 1?
No
Thanks. Now I understand
From what I understand it works like this.
Let’s say you have a series of numbers that represent real life data. In general the first number of all of these numbers will be a 1, 30% of the time.
Such as “1000 rolls”
It applies to situations with more than one order of magnitude being counted, such as d20 rolls, 55% of which will start with a 1.