Regional Georgia Vote Analysis

Summary:

Georgia election law in 2020 was changed to allow mail in ballots in a manner which circumvented the need for presentation of voter identification.  The reasons for this requirement are something reasonable people disagree on, but lack of voter identification presents a situation where voter fraud is of real concern. How would one determine whether a ballot was valid or whether someone had voted for another?  It is clear from witness testimony that in this 2020 election a large number of issues were identified during the vote count related to ballot identification.  Reports of these issues are widespread and included; same signature hundreds of times, consecutive addresses, vans full of ballots showing up late at night, individuals feeding ballots repeatedly into the counters, mismatched signatures, improper adjudication.  These issues persisted mostly across contested battleground states where election laws were changed in a similar manner to Georgia.

This study was directed at Georgia alone and was directed toward identifying and highlighting voting anomalies which would be expected if wide-spread vote manufacturing had occurred by either party.   The results are very clear and indicate that wide-spread vote fraud was initiated by some mechanism and was limited specifically to the Democrat party in Georgia.

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Discussion and data:

The Presidential vote in Georgia county level voting tells an as yet unreported and significant story.  There are a group of just over a dozen Democrat leaning counties across Georgia which had very large increases in active Democrat voters in 2020 and particularly since 2012.  The problem occurs in that these counties increases were inexplicably missing the corresponding increases in Republican votes.  Other Georgia counties behaved as expected where both Democrat and Republican votes changed at or near historically anticipated ratios. The detail for all counties is reported in this article, however there are 4 very large counties in the Atlanta region can highlight the significance of the problem outlined here.  The four counties in particular are: De Kalb, Fulton, Cobb and Gwinett.  These were identified entirely by their change in Democrat votes from 2016 to 2020 (Figure 3).  In 2012, these four counties were split with two voting Republican and two voting Democrat and they voted in total 59% Democrat.   What is shown below is that these split-voting counties produced approximately 400,000 NEW Democrat votes in 2020 as compared to the 2012 election,  with an approximate net change of ZERO for Republicans.  The anomalies in these four counties are not the limit of the problem.   In the anomalous counties identified below, 98% of the votes went entirely to the Democrats whereas when the same methods are used on Republican votes, no anomalies exist.

In the plots below, pay attention to the scale at the right side on these plots as it does change.  Figures 1 and 2 are Democrat ONLY votes, Republican votes are not considered here and the change in votes represents the gains or losses from the previous election year.

Figure 1 shows 2016 and highlights the increases in the Atlanta region of Democrat votes during the 2016 election vs the 2012 election.

Figure 1

Figure 2 shows large scale increases in 2020, again in the Atlanta area of Democrat votes, this time from the Trump/Clinton 2016 election.  So we have two elections in a row where large scale vote additions were made in the Atlanta region.   Figure 3 shows the total for the two elections.

Figure 2

Figure 3 shows the 4 counties in Georgia identified in the summary.  They have added 393,000 votes for Democrats since 2012.  There were only 3.8 Million votes in Georgia in 2012 so this is an addition of 10% more total votes across the state of Georgia just in these 4 counties which is very significant in relationship to the margin of victory for Democrats in the 2020 election.  Below the 4 counties highlighted in the summary above, they are the only counties which plotted in red.

Figure 3

Figure 4 highlights three counties in the Atlanta area showing more than 2x the number of Democrat votes (greater than 100%), with the bright red county showing an increase in Democrat voters of nearly 3 times. These over 100% counties are different counties than the four referred to in the summary which is again why this problem is not localized to the four discussed above.   Most of the counties in the Atlanta area showed large increases in solely Democrat vote totals.  Some other counties below did show a large percentage increase but didn’t have a significant number of voters.  I sorted by that effect towards the end of the post.

Figure 4

As stated above, Georgia implemented new voting laws in 2020 which circumvented voter identification for mail-in ballots.  If all groups were treated equally, we would expect to see an equal (or at least similar) change in Republican votes in those same regions.  These following plots of Republican votes didn’t support that reasonable expectation, and our four counties found themselves highlighted yet again in 2016 for Republican vote losses, this time in green.

Figure 5

 

In Figure 5 above, from 2012 to 2016 the Republicans saw moderate gains in each county except for the Atlanta region where they lost large numbers of votes.

Figure 6 shows these votes as a percentage of the total votes.  These percentage graphs are only of Republican votes.  Republican votes went down dramatically in 2016 near Atlanta only, with increases almost everywhere else in the state.

Figure 6 – percentage change in Republican only votes.

Oddly, Figure 7 shows that from 2016 to 2020, the largest increase in vote for Republicans was in those same Atlanta counties. Again, Figure 7 represents Republican vote changes only.  At first glance, this seems consistent with the 2020 increase in total Democrat voters in this area but careful checking reveals that they were received at a much smaller ratio than the split voter base.

Figure 7

Keen observers might note that the Atlanta region Republican increases between 2016 and 2020 were very similar in magnitude and location to the losses from 2012-2016.   It’s like those same voters moved out in 2016 and came back for 2020.

Figure 8 shows the differences in Republican vote totals from 2012 to today.    The Atlanta region is again interesting because several of the counties which saw huge improvements in Democrat votes have NO significant increase in Republican votes.  Also, our favorite 4 counties show almost zero change for the Republicans.

Figure 8

Figure 9 shows the percentage change in Republican votes is added simply for comparison to the percentage change in Democrat votes Figure 4.  Our 4 counties show a change in votes of 4%, -9%, 0% and -4% for Republicans, whereas they showed state-wide record losses of Republican voters in 2016.  A summation shows that the Republicans had an approximate net zero change in votes between 2012-2020 despite the massive pro-Democrat addition of votes in this area during the same timeframe.

Figure 9

 

Below is the percentage share of total vote increase that went to Democrats. Values near 100% are particularly concerning.   Percentage values in Figure 10 often represent minimal changes in the total number of votes which makes the next figure (Figure 10) difficult to read, but it is added for completeness. I’ve sorted this problem out out for us in Figures 11 – 13.

Figure 10 –  Percentage increase in Democrat votes vs increase in Total votes in each county from 2012 –  2020

 

In figure 11, I’ve sorted by large changes in total vote >60,000 and our favorite 4 counties showed up again and are 94%, 109%, 100% and 108%.   This indicates that ALL of the new votes in these four counties went exclusively to the Democrat party. 

 

Figure 11

The shocking bit of data from these 4 counties is the total vote change since 2012.

Democrat vote change -> 393,717 Votes

Republican vote change -> -5608 Votes

Percent of Democrat votes of the total vote increase in these 4 (Figure 11) counties is 101%

These four counties voted 41% Republican in 2012 and showed zero gain in Republican votes since that time.

Below is another sorting of Figure 10 which shows the problem is not fully isolated to these 4 counties.  This plot is all counties where the additional votes went over 75% to Democrats and having a net change in total votes of greater than 5000 votes.

Figure 12

 

The total vote changes for these counties were:

Democrat vote change -> 529,118 Votes

Republican vote change -> 7825 Votes

Percent of Democrat votes of the total vote increase in these (Figure 12) counties is 98.5% (Again, functionally ALL new votes went to the Democrats in these counties.)

These counties voted 41% Republican in 2012 and 33% in 2020.

Figure 13 is the same plot as Figure 12. It is offered simply for comparison and uses the same filters as Figure 12 but is reverse by party.

Figure 13

The data for these improvements in Republican shifting counties was:

Democrat vote change -> 25451 Votes
Republican vote change -> 86470 Votes
Percent of Republican votes of the total vote increase in these counties is 81%
Percent of total Republican vote in these counties in 2012 was 81%

Democrat vote change 25451
Republican vote change 86470

Percent of the vote change that went to Republicans – 77.3%
Percent of the vote which went Republican in 2012 – 74%
Percent of the vote which went Republican in 2020 – 75%

Minimal change in vote ratio is exactly what you would expect in a typical election.

Conclusions:

Counties which showed large percentage improvements for Republican votes, were in almost exactly the historic and present day county ratio for Republicans and Democrats.  This means that in those counties, voting proceeded as expected in 2020.   In the counties of Figure 12, widespread voting increases went EXCLUSIVELY for a the Democrat party.  By identifying problematic counties and looking at the differences in vote count above, it is unavoidable to conclude that a wide-spread vote-manufacturing process was initiated to take advantage of the changes in voter law.  The regional distribution means these votes are unlikely to have been created by a computer software, but rather by manufactured votes. These votes appeared to have been distributed around the state to democrat leaning counties and are in the magnitude of >500,000 votes.   A forensic sampling of the ballots counted and applications should reveal similarities in large fractions of these new votes regarding ink type, signatures and other expected flaws.   The sheer magnitude of the half million one-sided votes means that Georgia’s presidential election was flipped by these votes to the Democrat party.