Weeks after Bernie Sanders protégé Tim Canova went down in defeat in a strong primary challenge to US Representative Debbie-Wasserman-Schultz, professional statisticians say they have uncovered the same kind of statistically unlikely voting pattern which was found in the 2016 Democratic primary between Hilary Clinton and Bernie Sanders. They are calling for a visual inspection of some or all of the actual ballots in order to rule out the presence of electronic "vote-flipping."



Because the two counties involved both use vote-scanning machines which create digital images of the ballots, visual inspection of the ballots could consist of obtaining the digital images held by the counties, and counting the votes using the images rather than the paper ballots.



In her website Holler Back, election integrity activist and Edward R. Murrow award-winning journalist Lulu Fries'dat published the commentaries of Professors Fritz Scheuren and Elizabeth Clarkson. Scheuren is the 100th president of the American Statistical Association and teaches at George Washington University. Clarkson teaches at Wichita State University in Kansas. Dr. Scheuren said:

“We have to find a way to find out if they were manipulated, and that requires a recount, of at least a sample of locations.”

The vote pattern identified in the analysis of the Canova - Wasserman-Schultz primary, a closely watched race, is uncovered by what election experts call "cumulative vote tally" analysis. This analysis arranges precincts by size, numbers of registered voters, and studies candidate performance along these lines. As with many counties, cities, and towns in the Democratic primaries, the experts found a tendency for the "establishment" candidate to do much better as precinct size increased.



The pattern is suggestive of the electronic version of "ballot stuffing" in larger precincts. The relationship was uncanny, according to the election experts and mathematicians, with no good explanation when controlled for race, income, or any other demographic factor.