DrFrank

The context for Dr Frank's work, and a message of hope and encouragement for every American citizen.

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

I graphed several sets of official Covid-19 data on the same scale for easy comparison.

A series of graphs reviewing Dallas Texas election history.

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

Selected slides from my presentations in South Dakota on 10/15/2022 The rolls and voting age distributions and turnouts are artificially low, as we don't have ages for all votes.

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."

Selected slides from my 10/11/2022 presentation in San Diego.

Selected slides from my 10/10/2022 presentation in Orange County, California.

Graphical illustrations of Colorado general election numbers from1980 to 2020.

Shasta County, California city council meeting excerpt where Patty Plumb reminds the council that she has already officially notified city officials twice that they must preserve 2020 election materials as evidence in an imminent lawsuit.

Update on election manipulation in Placer County, California

Selected slides from my presentation in Timonium, Maryland on July 21, 2022

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

Selected slides from my 5/21/2022 presentation in Rhode Island.

First analysis of Arizona 2020 general election data.

Selected slides from Dr Frank's Louisiana election data analysis.

Selected slides from Dr Frank's Rhode Island election data analysis.

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.

A collection of slides (no sound) where I analyze data from the US Census and the Secretary of State websites, emphasizing the 2020 General Election and explaining the effect of ballot-stuffing.

"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.

Using data from every Secretary of State website, I show that there are serious issues with the elections in every state in the nation. (No sound.)