See also the main article on Colorado, for documented election integrity issues and further reports.

The following charts show Dr. Doug Frank’s analysis of the 2020 election data in Colorado. For an overview of Dr. Frank’s approach and findings, see the main page on Dr. Frank’s Election Analysis.

Using 2010 US Census data and updated 2019 American Community Survey data from the Census Bureau, Dr. Frank is able to predict not only the voter turnout by age, but voter registration by age. When Frank’s prediction is compared to the actual voter turnout and voter registration by age, it correlates to an unusually high level of accuracy.

Pay particular attention to items highlighted in red, below:

  • Counties where the percent of population registered to vote is higher than 95%. This may simply be poor administration in not removing old voters from the rolls, or it may provide some indication of counties where “phantom” voters were been added to the rolls for the purpose of submitting fraudulent votes. These deserve deeper investigation.

  • How accurately Dr. Frank was able to predict the voting turnout based on the census data and applying his algorithm (the “Predictability” column below, also known as the correlation coefficient). Very high numbers above 0.95 may indicate some form of algorithmic manipulation of votes.

Click a column heading to sort by that column

                                     voters/residents

                                                    % registered voting 

                                                                    predictability