Benford's law and voting in Georgia With Benford's law &quot;the leading digits of the number found in real-world data sets&quot; should make sense.  But this video
https://www.youtube.com/watch?v=DoF3WS42w3M&amp;ab_channel=RobertA.Bonavito%2CCPA
claims that by applying Benford's law they can prove electoral fraud.


He claims that since Benford's law is &quot;broken&quot; in these graphs, it appears that there has been fraud committed, but I wonder if the artificiality of breaking things into counties and only having 156 of them violates the &quot;naturally occuring&quot; idea that is the foundation of Benford's Law.
I am curious why Benford's law does not seem to apply here.
Using his data for first digits, neither the Biden nor the Trump first digits are significantly different from what would be predicted by Benford's law.  Using R:
countyBiden &lt;- c(47,40,16,21,7,9,9,5,5)
countyTrump &lt;- c(43,36,12,15,9,17,9,9,9)
benford &lt;- log10(2:10) - log10(1:9)
chisq.test(countyBiden, p=benford)
# 
#         Chi-squared test for given probabilities
# 
# data:  countyBiden
# X-squared = 12.601, df = 8, p-value = 0.1263
#
chisq.test(countyTrump, p=benford)
#
#         Chi-squared test for given probabilities
#
# data:  countyTrump
# X-squared = 11.231, df = 8, p-value = 0.189

That is even before considering whether Benford's law should apply here.
Did you check Bedford's law against the number of registered voters in Georgia first? Because if that's off then the votes will be off also.