Follow the Data with Dr Frank

Data from the Nebraska Secretary of State and Census.gov are used to illustrate the voter roll churn in five Nebraska counties.

A 3-D graphical display of the number of registered voters by age and month in Alaska from 2004 to 2023.

Graphical summary of Alaska election history.

Population and voter registration data are displayed for every Georgia county for the 2020 and 2022 elections. Many counties have more people actively registered than they have voting age population.

Graphs and data from my recent talks in Yuba, Sutter, and Nevada Counties, California ***Note: the populations were mistakenly labeled "18+ Population" instead of "Total Population"

Graphs for several Wisconsin counties recently visited by Dr Frank

Graphs for three counties I recently visited.

Missoula Montana data are used to illustrate how ballot stuffing is regulated by computer algorithms.

Updated graphs of voter rolls for each Wisconsin county from July, 2009 to May, 2023.

Extracted slides from a longer presentation on election fraud, teaching citizens how to find and prove it.

Graphs of Oregon general election data. Data are from the Oregon Secretary of State and the US Census

Wyoming election history with county summaries.

County by county analysis of the voter rolls and turnout in West Virginia elections.

A sampling of the data I will be discussing at my upcoming event in Wyoming.

A sampling of the data I will be presenting in Montana in January, 2023

Exploring the "excess deaths" data from the CDC and some of its implications.

A series of graphs reviewing Dallas Texas election history.

Graphs which illustrate county demographic results for the state of Vermont.

Selected slides from my 10/13/2022 talk in North Dakota. Some of the slides label voters as "Registrants" because that is the convention across the US. North Dakota is unique in that it does not register voters, although it does maintain lists of "Eligible Voters."

Which is more important? Voter convenience or election integrity? The answer is obvious.

Data slides from my presentations in Oklahoma.

I collected the Tennessee specific slides from my recent talk in a short video so you can download them to your phone and computer.

Shows the various means of voting that Texans used in the 2020 General Election.

"Before the Cheating" People often ask me, "What do the county rolls look like before the cheating?" May answer is, "Show me a county in the last twenty years where there wasn't, and find me the data." It's not a trivial job to collect and analyze such data. But in the early days of my work I asked and pursued the same question. Here is a graph I made during my explorations back then. Notice the recent surge in voting, starting in 2012. The PA04 registration rolls show a massive addition of registered voters in 1996, who did not start actually voting until the early 2000's. The cheaters gave themselves a large credit line of voters in 1996, and then steadily began using them years later. They dipped into their phantom voter credit line in 2016, and pulled out all the stops in 2020. Trump was winning 2020 in a landslide.

A short clip illustrating how well a particular function correlates to a noisy version of the same function. I use the correlation coefficient, R, in many of my analyses. This clip will give people who are not familiar with it a visual sense of what an R value means.