The lawsuit also shows data scientist, Dr. Douglas Frank, has cracked the algorithms that were used in a number of states to determine the ballots cast. Specifically, with only the census data and the registration data, the algorithm enables the prediction of the number of ballots cast *for each voter age group* in any given county in a state with near 100% certainty—without seeing the actual results.

The algorithm is regulating voter turnout by age as shown by the fact that voter turnout by age is in the exact same relative proportion to registered voters in each county in any given state. The analysis of the data shows an ability to predict ballot demographics with a degree of precision approaching 100%—a level of accuracy that would be impossible without the activity of a regulating algorithm. This does not happen in a random world.