50 wards counts of difference in seconds between ballot scans greater than 100 seconds the 2018 Election
I have found the delta of seconds between 'Ballot drop' of '06 Nov 2018' greater than 100 seconds to be ideal to test Benford's Law. The first significant digit '1' weighs more into identifying suspect fraud. However each ward contains less than 10,000 digits of 1-9 when more than 100 seconds delta between the Ballot drops.
Actual machine log data was released from CBEC through filing a FOIA request with them. I also filed with ILBEC and they responded with having data in various formats that are a mismatch to the original FOIA request.
Having an already established FOIA relation with the Chicago Board of Elections has become a reliable resources however not sufficient enough in the numbers to make Benford's Law use on the delta seconds of more than 100 seconds between ballot scans conclusive use as a measure of fraud detection.
As you can see in the animated gif graphic, the Benford Curve does begin to emerge.
More data in a single pool is needed.
50 wards counts of difference in seconds between ballot scans greater than 100 seconds the 2018 Election