Posted on 09/20/2021 4:26:29 PM PDT by kiryandil
If you've ever seen the movie Independence Day - I've developed a vote fraud theory called "the Mothership theory".
Basically, a Mothership parked over an urban area "controls" a number of counties surrounding the Mothership county.
One can see the outlines of these controlled areas by comparing the 2008 election by county with the 2020 election by county.
Remember - Zero in 2008 was the Second Coming. People, even nominal Republicans, fell all over themselves to vote for the "first black president".
He set records.
You can see the remains of the record-setting Obama votes of 2008 in 2020 in counties not controlled by the Motherships [command and control centers for vote fraud].
A spreadsheet takes about a half hour, then you print a state map by county.
Lastly, you use Wikipedia to locate the Metropolitan Statistical Areas (MSAs), which list the counties in each MSA.
Then you just compare. You can see it like a neon light.
2008 total Obama 2008 2008 2020 minus minus Obama 2008 McCain total Biden 2020 Trump total 2020 total Biden 2020 Adair 47.50% 1,924 50.80% 2,060 4,053 Adair 28.68% 1,198 69.83% 2,917 4,177 -124 726 Adams 50.20% 1,118 46.90% 1,046 2,228 Adams 27.31% 590 70.83% 1,530 2,160 68 528 Allamakee 56.10% 3,971 41.90% 2,965 7,076 Allamakee 34.71% 2,576 63.80% 4,735 7,422 -346 1,395 Appanoose 48.10% 2,970 49.90% 3,086 6,179 Appanoose 29.02% 1,891 69.24% 4,512 6,516 -337 1,079 Audubon 50.10% 1,739 47.10% 1,634 3,468 Audubon 31.32% 1,071 67.11% 2,295 3,420 48 668 Benton 51.30% 7,058 46.80% 6,447 13,769 Benton 35.24% 5,160 62.75% 9,188 14,642 -873 1,898 Black Hawk 60.20% 39,184 37.90% 24,662 65,060 Black Hawk 53.53% 35,647 44.51% 29,640 66,593 -1,533 3,537 Boone 52.50% 7,356 44.90% 6,293 14,011 Boone 41.09% 6,303 56.68% 8,695 15,340 -1,329 1,053 Bremer 53.80% 6,940 44.50% 5,741 12,908 Bremer 40.96% 5,958 57.02% 8,294 14,546 -1,638 982 Buchanan 58.40% 6,050 40.00% 4,139 10,354 Buchanan 38.70% 4,169 59.59% 6,420 10,774 -420 1,881 Buena Vista 47.90% 4,075 49.70% 4,223 8,501 Buena Vista 36.26% 2,961 61.91% 5,056 8,167 334 1,114 Butler 46.70% 3,364 51.40% 3,700 7,204 Butler 29.93% 2,424 68.44% 5,542 8,098 -894 940 Calhoun 44.70% 2,341 52.40% 2,741 5,233 Calhoun 27.96% 1,470 70.16% 3,689 5,258 -25 871 Carroll 50.50% 5,302 46.90% 4,922 10,494 Carroll 30.47% 3,454 68.26% 7,737 11,335 -841 1,848 Cass 43.30% 3,211 54.00% 4,006 7,412 Cass 30.25% 2,201 68.29% 4,969 7,276 136 1,010 Cedar 53.80% 5,221 44.20% 4,289 9,712 Cedar 40.52% 4,337 57.56% 6,161 10,703 -991 884 Cerro Gordo 59.30% 14,405 38.60% 9,375 24,293 Cerro Gordo 45.97% 10,941 52.28% 12,442 23,801 492 3,464 Cherokee 45.40% 2,890 53.00% 3,372 6,368 Cherokee 29.70% 1,936 68.96% 4,495 6,518 -150 954 Chickasaw 59.10% 3,923 38.50% 2,557 6,641 Chickasaw 33.68% 2,233 64.97% 4,308 6,631 10 1,690 Clarke 49.80% 2,218 47.50% 2,118 4,455 Clarke 31.39% 1,466 67.32% 3,144 4,670 -215 752 Clay 46.50% 3,925 51.60% 4,355 8,442 Clay 29.68% 2,662 68.42% 6,137 8,969 -527 1,263 Clayton 57.80% 5,195 40.60% 3,651 8,990 Clayton 34.81% 3,340 63.64% 6,106 9,594 -604 1,855 Clinton 60.40% 15,018 37.50% 9,324 24,875 Clinton 43.81% 10,812 54.13% 13,361 24,681 194 4,206 Crawford 51.00% 3,715 45.90% 3,345 7,290 Crawford 31.03% 2,220 67.85% 4,854 7,154 136 1,495 Dallas 46.20% 15,149 51.80% 16,954 32,759 Dallas 47.98% 26,879 49.96% 27,987 56,022 -23,263 -11,730 Davis 44.00% 1,680 53.10% 2,029 3,818 Davis 24.70% 1,013 73.92% 3,032 4,102 -284 667 Decatur 48.40% 1,986 49.20% 2,020 4,106 Decatur 29.44% 1,120 68.74% 2,615 3,804 302 866 Delaware 52.20% 4,649 46.20% 4,113 8,903 Delaware 31.56% 3,157 66.64% 6,666 10,003 -1,100 1,492 Des Moines 60.20% 12,462 37.30% 7,721 20,693 Des Moines 44.56% 8,893 53.08% 10,592 19,956 737 3,569 Dickinson 46.50% 4,625 51.90% 5,162 9,942 Dickinson 32.56% 3,661 66.15% 7,438 11,244 -1,302 964 Dubuque 59.30% 28,611 38.70% 18,651 48,255 Dubuque 47.58% 25,657 50.47% 27,214 53,926 -5,671 2,954 Emmet 50.60% 2,570 46.70% 2,373 5,078 Emmet 31.32% 1,520 67.28% 3,265 4,853 225 1,050 Fayette 57.10% 5,908 40.70% 4,205 10,340 Fayette 37.65% 3,835 60.33% 6,145 10,186 154 2,073 Floyd 59.00% 4,822 37.30% 3,051 8,177 Floyd 39.49% 3,172 58.91% 4,732 8,032 145 1,650 Franklin 49.40% 2,575 48.00% 2,501 5,208 Franklin 31.70% 1,626 66.71% 3,422 5,130 78 949 Fremont 46.90% 1,848 50.50% 1,989 3,941 Fremont 28.00% 1,080 70.29% 2,711 3,857 84 768 Greene 48.80% 2,371 48.40% 2,349 4,858 Greene 34.98% 1,769 63.73% 3,223 5,057 -199 602 Grundy 40.50% 2,790 57.30% 3,945 6,890 Grundy 30.32% 2,206 67.74% 4,929 7,276 -386 584 Guthrie 44.80% 2,625 52.50% 3,074 5,858 Guthrie 31.16% 1,985 67.05% 4,272 6,371 -513 640 Hamilton 49.30% 4,018 48.00% 3,913 8,144 Hamilton 35.79% 2,843 62.39% 4,956 7,943 201 1,175 Hancock 46.90% 2,805 50.40% 3,016 5,983 Hancock 27.27% 1,683 71.13% 4,390 6,172 -189 1,122 Hardin 49.10% 4,393 48.20% 4,315 8,956 Hardin 33.11% 2,976 65.08% 5,850 8,989 -33 1,417 Harrison 46.50% 3,555 51.20% 3,909 7,637 Harrison 29.92% 2,440 68.29% 5,569 8,155 -518 1,115 Henry 46.10% 4,349 51.20% 4,822 9,426 Henry 32.81% 3,275 65.19% 6,507 9,982 -556 1,074 Howard 62.20% 2,941 36.40% 1,722 4,729 Howard 35.74% 1,772 63.07% 3,127 4,958 -229 1,169 Humboldt 42.10% 2,160 56.40% 2,895 5,136 Humboldt 27.07% 1,442 71.69% 3,819 5,327 -191 718 Ida 41.00% 1,454 57.40% 2,036 3,547 Ida 23.82% 917 74.82% 2,880 3,849 -302 537 Iowa 49.10% 4,202 48.90% 4,188 8,556 Iowa 36.41% 3,547 61.68% 6,009 9,742 -1,186 655 Jackson 61.30% 6,102 36.90% 3,673 9,957 Jackson 36.18% 4,029 62.33% 6,940 11,135 -1,178 2,073 Jasper 52.40% 10,250 44.90% 8,794 19,566 Jasper 38.33% 7,737 59.87% 12,084 20,184 -618 2,513 Jefferson 58.40% 5,070 38.30% 3,324 8,675 Jefferson 48.21% 4,319 49.59% 4,443 8,959 -284 751 Johnson 69.70% 51,027 28.30% 20,732 73,231 Johnson 70.57% 59,177 27.34% 22,925 83,851 -10,620 -8,150 Jones 54.00% 5,446 43.70% 4,405 10,080 Jones 38.34% 4,213 59.81% 6,572 10,989 -909 1,233 Keokuk 46.90% 2,518 50.50% 2,712 5,366 Keokuk 26.66% 1,414 71.60% 3,797 5,303 63 1,104 Kossuth 50.30% 4,625 47.00% 4,329 9,203 Kossuth 29.66% 2,696 69.03% 6,275 9,090 113 1,929 Lee 56.60% 9,821 40.70% 7,062 17,352 Lee 39.09% 6,541 58.40% 9,773 16,734 618 3,280 Linn 59.80% 68,037 38.40% 43,626 113,721 Linn 55.61% 70,874 41.87% 53,364 127,458 -13,737 -2,837 Louisa 50.80% 2,523 46.60% 2,314 4,968 Louisa 32.37% 1,726 65.64% 3,500 5,332 -364 797 Lucas 45.30% 2,029 52.10% 2,330 4,476 Lucas 27.73% 1,284 70.99% 3,287 4,630 -154 745 Lyon 26.80% 1,675 71.50% 4,471 6,255 Lyon 15.55% 1,067 83.16% 5,707 6,863 -608 608 Madison 43.80% 3,733 53.70% 4,579 8,529 Madison 31.90% 3,134 66.24% 6,507 9,824 -1,295 599 Mahaska 40.80% 4,464 57.30% 6,271 10,952 Mahaska 25.38% 2,894 72.76% 8,297 11,404 -452 1,570 Marion 43.40% 7,421 54.10% 9,256 17,115 Marion 32.12% 6,178 65.84% 12,663 19,232 -2,117 1,243 Marshall 53.40% 10,023 44.10% 8,278 18,765 Marshall 45.08% 8,176 52.77% 9,571 18,136 629 1,847 Mills 40.60% 2,976 57.10% 4,183 7,327 Mills 30.33% 2,508 67.55% 5,585 8,268 -941 468 Mitchell 55.10% 3,179 42.80% 2,469 5,766 Mitchell 35.26% 2,053 63.16% 3,677 5,822 -56 1,126 Monona 47.80% 2,295 50.30% 2,411 4,797 Monona 29.76% 1,407 68.70% 3,248 4,728 69 888 Monroe 46.00% 1,798 51.20% 2,000 3,909 Monroe 26.37% 1,078 72.77% 2,975 4,088 -179 720 Montgomery 44.00% 2,326 54.60% 2,887 5,289 Montgomery 29.72% 1,583 68.69% 3,659 5,327 -38 743 Muscatine 56.80% 10,920 41.20% 7,929 19,236 Muscatine 45.34% 9,372 52.36% 10,823 20,671 -1,435 1,548 O'Brien 31.80% 2,338 66.50% 4,894 7,354 O'Brien 20.78% 1,569 77.62% 5,861 7,551 -197 769 Osceola 33.00% 1,037 64.50% 2,027 3,145 Osceola 18.06% 601 80.83% 2,690 3,328 -183 436 Page 39.30% 2,900 59.00% 4,351 7,370 Page 27.71% 2,086 70.66% 5,319 7,528 -158 814 Palo Alto 50.00% 2,428 47.20% 2,294 4,858 Palo Alto 30.64% 1,519 67.97% 3,370 4,958 -100 909 Plymouth 37.00% 4,629 62.00% 7,765 12,515 Plymouth 24.63% 3,494 73.95% 10,492 14,188 -1,673 1,135 Pocahontas 44.50% 1,800 52.90% 2,138 4,045 Pocahontas 24.40% 933 73.92% 2,826 3,823 222 867 Polk 56.10% 120,984 41.60% 89,668 215,751 Polk 56.52% 146,250 41.27% 106,800 258,755 -43,004 -25,266 Pottawattamie 48.00% 20,436 49.90% 21,237 42,580 Pottawattamie 40.61% 18,575 57.38% 26,247 45,744 -3,164 1,861 Poweshiek 55.00% 5,519 43.30% 4,340 10,033 Poweshiek 42.47% 4,306 55.79% 5,657 10,140 -107 1,213 Ringgold 46.00% 1,236 52.10% 1,401 2,689 Ringgold 26.12% 709 72.51% 1,968 2,714 -25 527 Sac 44.60% 2,256 53.50% 2,705 5,056 Sac 25.09% 1,389 73.37% 4,061 5,535 -479 867 Scott 56.60% 48,927 42.10% 36,365 86,378 Scott 50.68% 46,926 47.17% 43,683 92,599 -6,221 2,001 Shelby 44.30% 2,863 54.00% 3,488 6,463 Shelby 28.83% 1,959 69.12% 4,697 6,795 -332 904 Sioux 18.20% 3,030 80.90% 13,490 16,679 Sioux 15.85% 3,019 82.31% 15,680 19,051 -2,372 11 Story 56.80% 26,548 40.70% 18,995 46,722 Story 57.16% 29,175 39.85% 20,340 51,038 -4,316 -2,627 Tama 55.00% 4,899 42.90% 3,820 8,904 Tama 39.53% 3,577 58.61% 5,303 9,048 -144 1,322 Taylor 44.50% 1,347 53.10% 1,607 3,029 Taylor 22.96% 746 75.81% 2,463 3,249 -220 601 Union 50.30% 3,000 46.60% 2,781 5,964 Union 33.32% 2,061 64.83% 4,010 6,185 -221 939 Van Buren 42.50% 1,546 54.60% 1,986 3,640 Van Buren 23.08% 875 75.42% 2,859 3,791 -151 671 Wapello 54.90% 8,820 41.40% 6,663 16,075 Wapello 37.24% 5,821 60.87% 9,516 15,633 442 2,999 Warren 49.40% 12,299 48.70% 12,144 24,912 Warren 40.51% 12,574 57.29% 17,782 31,039 -6,127 -275 Washington 48.60% 5,170 49.30% 5,247 10,642 Washington 38.77% 4,561 59.25% 6,971 11,765 -1,123 609 Wayne 45.50% 1,357 52.50% 1,565 2,981 Wayne 23.38% 727 75.20% 2,338 3,109 -128 630 Webster 53.00% 9,917 44.60% 8,337 18,708 Webster 37.11% 6,613 61.37% 10,938 17,822 886 3,304 Winnebago 53.20% 3,254 44.60% 2,730 6,122 Winnebago 35.76% 2,135 62.09% 3,707 5,970 152 1,119 Winneshiek 60.10% 6,829 37.60% 4,273 11,367 Winneshiek 46.56% 5,617 51.68% 6,235 12,064 -697 1,212 Woodbury 49.10% 21,983 49.60% 22,219 44,815 Woodbury 41.23% 18,704 57.63% 25,736 45,362 -547 3,279 Worth 59.90% 2,567 37.60% 1,612 4,282 Worth 36.12% 1,596 61.97% 2,738 4,418 -136 971 Wright 48.50% 3,102 50.00% 3,198 6,395 Wright 31.92% 1,996 66.13% 4,136 6,254 141 1,106
That was a lost cause, and the DNC knew it.
No, the various Iowa motherships were in business to steal US congressional district seats [there are four congressional districts in Iowa].
They didn't do too badly - out of three contested seats, they stole one [CD 3], and almost stole a second one [CD 2].
You might remember Pelosi causing a kerfluffle over Mariannette Miller-Meeks' 6-vote win in the 2nd Iowa CD.
They were trying to lock in their steal.
2008 total Obama 2008 2008 2020 minus minus Obama 2008 McCain total Biden 2020 Trump total 2020 total Biden 2020 The Des Moines mothership - Iowa congressional district 3
Dallas 46.20% 15,149 51.80% 16,954 32,759 Dallas 47.98% 26,879 49.96% 27,987 56,022 -23,263 -11,730 Guthrie 44.80% 2,625 52.50% 3,074 5,858 Guthrie 31.16% 1,985 67.05% 4,272 6,371 -513 640 Jasper 52.40% 10,250 44.90% 8,794 19,566 Jasper 38.33% 7,737 59.87% 12,084 20,184 -618 2,513 Madison 43.80% 3,733 53.70% 4,579 8,529 Madison 31.90% 3,134 66.24% 6,507 9,824 -1,295 599 Polk 56.10% 120,984 41.60% 89,668 215,751 Polk 56.52% 146,250 41.27% 106,800 258,755 -43,004 -25,266 Warren 49.40% 12,299 48.70% 12,144 24,912 Warren 40.51% 12,574 57.29% 17,782 31,039 -6,127 -275
2008 total Obama 2008 2008 2020 minus minus Obama 2008 McCain total Biden 2020 Trump total 2020 total Biden 2020 The Des Moines mothership Dallas 46.20% 15,149 51.80% 16,954 32,759 Dallas 47.98% 26,879 49.96% 27,987 56,022 -23,263 -11,730 Guthrie 44.80% 2,625 52.50% 3,074 5,858 Guthrie 31.16% 1,985 67.05% 4,272 6,371 -513 640 Jasper 52.40% 10,250 44.90% 8,794 19,566 Jasper 38.33% 7,737 59.87% 12,084 20,184 -618 2,513 Madison 43.80% 3,733 53.70% 4,579 8,529 Madison 31.90% 3,134 66.24% 6,507 9,824 -1,295 599 Polk 56.10% 120,984 41.60% 89,668 215,751 Polk 56.52% 146,250 41.27% 106,800 258,755 -43,004 -25,266 Warren 49.40% 12,299 48.70% 12,144 24,912 Warren 40.51% 12,574 57.29% 17,782 31,039 -6,127 -275
ping to you
2020 District 1 Republican Hinson 212,088 51.20 Democratic Finken- 201,347 48.70 10,741 District 2 Republican Meeks 196,964 49.91 Democratic Hart 196,958 49.91 6 District 3 Democratic Axne 219,205 48.90 Republican Young 212,997 47.60 Libertarian Holder 15,361 3.40 6,208 District 4 Republican Feenstra 237,369 62.00 Democratic Scholten 144,761 37.80 92,608
Wow...... O.o
Johnson 69.70% 51,027 28.30% 20,732 73,231 Johnson 70.57% 59,177 27.34% 22,925 83,851 -10,620 -8,150 Linn 59.80% 68,037 38.40% 43,626 113,721 Linn 55.61% 70,874 41.87% 53,364 127,458 -13,737 -2,837
What identifies them is the WILD number of votes that The Joek beat Obama by (far right table entry).
All controlled by Democrat motherships [there are also Republican motherships, but those are a little different animal].
This is very interesting, thanks.
The one I did for Michigan pretty clearly shows that the Michigan Republicans colluded with the Democrats to throw the state to joek.
I am at the point where there is so much information, I need to rely on intuition, but this rings some personal bells which I need to investigate.
Again, thanks, the historical importance of this type of research will come eventually.
Really interesting stuff.
Great job. ........I like the premise.
Meanwhile, Muskegon, which is (as you aware) a big Democrat stronghold in that area, said "meh" to the joek:
Grand Rapids Republican mothership Odiousbama 2008 mclame total biteme 2020 Trump bammy 2008 minus joek 2020 Allegan 43.71% 24,165 54.38% 30,061 55,279 Allegan 36.39% 24,449 61.60% 41,392 67,195 -284 Kent 49.44% 149,909 48.92% 148,336 303,235 Kent 51.91% 187,915 45.78% 165,741 362,031 -38006 Ottawa 37.30% 50,828 61.15% 83,330 136,268 Ottawa 38.35% 64,705 59.81% 100,913 168,713 -13877 Muskegon 63.87% 53,821 34.58% 29,145 84,271 Muskegon 49.37% 45,643 48.82% 45,133 92,444 8178
Trump came 500 votes away from beating the joek in MUSKEGON, for crying out loud!!!
I'm sure the margins in DeToilette were similar - until they got "adjudicated"...
This is a mild one - they were only stealing seats in CONgress. The swing states are more interesting.
I rolled this one out first because it was less challenging graphically.
See post #15, where you can see the Republicans sandbagging Trump in 2020.
Trump needs to hire you.
I am aware of the name but have not looked into it yet. I will educate myself shortly.
Catherine Engelbrecht dropped this flaming bag of election dog poo on Chris Wray's doorstep three weeks ago.
The grenade's pin has been pulled, and Wray and Garland are soiling themselves:
Here it is, copied directly from Engelbrecht's site....
=============================================
Earlier this week [August 2021], a document I’d written regarding one of our research projects made its way into an article published by Breitbart. It is about ballot trafficking. The report is accurate.
Ballot trafficking is one of three investigations undertaken by True the Vote in particular areas of interest. We have not spoken publicly of these investigations for various reasons, but primarily because the work is ongoing and time is short.
What follows is a brief statement about the ballot trafficking project, why we did what we did, what we are finding, and what comes next.
This is just the beginning.
___________________________________________
What We Did
In late 2020, True the Vote engaged a select team of contractors and set out to determine whether widespread ballot trafficking was occurring as part of an organized criminal enterprise.
We’d watched the mass mail out of paper ballots to highly inaccurate voter records, the harried installation of ballot dropboxes privately funded by billionaire tech magnates, and the hundreds of legislative changes, lawsuits, and consent decrees that fundamentally altered election processes. All of it came together in 2020, under the fog of COVID. It was planned. It was purposeful.
Having studied election process for decades, our team was well aware of the pitfalls associated with America’s uniquely insecure approach to elections. We knew that attempts to prove certain types of election malfeasance would fail, so we chose instead to focus on the grifts that would necessarily leave trackable, provable data trails.
To test our trafficking theory, we acquired over ten trillion location-based cell signals in major metropolitan areas across six states. Initially, we worked with whistleblowers and witnesses, but soon enough, the data alone told the tale. Using mobile and GPS data, we mapped the travel patterns of ballot traffickers to ballot dropboxes.
This tracking method is explained in great detail by The New York Times in a series they ran called The Privacy Project. They and others have published much about how mobile data was used to track President Trump and identify individuals at the January 6th event at the Capitol. Law enforcement uses this type of data routinely. So, lest anyone say we did anything untoward, let us be very clear, all of this data is regularly bought and sold, about all of us.
What We Found
Our findings reveal overwhelming evidence of ballot trafficking, some of which is highlighted in the article. We have much more.
All our research, including suspected locations where ballots were delivered, processed, and distributed, along with the individual devices associated, has been submitted in the form of a formal complaint, along with all data, to the FBI. Briefings have been provided to state law enforcement and political leadership in several states. These conversations will continue to broaden in the coming days.
We’ve also acquired over a petabyte of video surveillance data. The quality of this video is inferior overall; lighting is bad, cameras are poorly positioned, timestamps are manipulated, key timeframes are often missing. Nevertheless, we are working video by video, using proprietary AI-based code we’ve written to screen the over 100,000 clips in our possession. The result? We are successfully finding video evidence that corroborates the digital data and supports the need for full investigations by law enforcement.
Our novel approach offers never before seen insights into the exploitation of America’s elections.
Figure 1: 24-hour Route in Georgia
This person’s route included stops at 5 organizations and 27 individual ballot drop boxes, traveling across 6 counties. Red dots represent ballot drop boxes, blue house icons (circled) represent targeted organizations, blue line represents daily travel path
What Comes Next?
To date, law enforcement has not taken action.
Make no mistake, what we have found will be made known. If law enforcement doesn’t initiate investigations, we have plans to release all data, all video, publicly.
So, that’s where we are. This is a massive undertaking. And it continues. Once all six states are completed to the best of our ability, and if at that point law enforcement still has not acted, we will publicly release it all.
How long will that take? Hard to say. We could release what we have now. And we may. But if it serves the greater good to hold on a while longer, then that’s the option we will take.
One way or another ballot trafficking will soon be exposed on a massive scale.
The question is - what will Americans do about it? Many improvements must be made, but in the end, they all start with you - and with me - with each of us as citizens. Each of us must invest time and attention in elections. Where to begin? Well … we know that bloated, inaccurate voter rolls are the fuel used to fire criminal manipulations of process. So, you can start by helping your county clean up its voter rolls.
We’ve built an app to automate citizen-led voter roll clean-up efforts called IV3. The plan was to launch this week, but we’ve pushed it out a few more days to first share all of the above information with you. Next week, we’ll launch the app. It will be the first in a series of tools and supports to help citizens’ restore election integrity.
Friends, this is it. It’s time to roll up our sleeves and work. Set your mind now to serve in elections in your county. Once that’s in order, reach out to others. True the Vote will be here to offer help every step of the way.
We’re all in this together - and working together we really can true the vote. All is not lost. Stay engaged.
For Freedom.
Ever onward - Catherine Engelbrecht
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