Stealing Kansas CD-3 - More 2020 Vote Fraud By The Democrat Election-Riggers (The Mothership Theory Of Vote Fraud)

Kansas 2008 election by county and Kansas 2020 election by county ^ | November 15, 2021 | my own calculations

[kiryandil]

Democrat county victory
more than 100% of the 2008 Obama vote														Biden	Biden
														divided by	minus
														Obama	Obama
	2008	Obama	2008	McCain	2008 total			2020	Brandon	2020	Trump	2020 total		Col 1	Col 2
Allen	37%	2,189	61%	3,552	5,859		Allen	27%	1,570	72%	4,218	5,892		72%	-619
Anderson	32%	1,175	65%	2,362	3,626		Anderson	21%	782	77%	2,929	3,792		67%	-393
Atchison	45%	3,241	53%	3,791	7,191		Atchison	32%	2,359	66%	4,906	7,440		73%	-882
Barber	24%	598	74%	1,833	2,462		Barber	12%	291	86%	2,014	2,342		49%	-307
Barton	27%	3,027	71%	7,802	11,057		Barton	21%	2,340	77%	8,608	11,150		77%	-687
Bourbon	35%	2,394	63%	4,240	6,781		Bourbon	23%	1,541	75%	5,023	6,676		64%	-853
Brown	30%	1,317	68%	2,985	4,376		Brown	25%	1,104	73%	3,262	4,471		84%	-213
Butler	33%	9,159	65%	18,155	27,873		Butler	28%	9,181	70%	22,634	32,520		100%	22
Chase	28%	383	71%	976	1,384		Chase	23%	345	75%	1,123	1,491		90%	-38
Chautauqua	22%	401	77%	1,418	1,852		Chautauqua	13%	212	85%	1,402	1,644		53%	-189
Cherokee	37%	3,594	61%	5,886	9,665		Cherokee	24%	2,194	74%	6,766	9,151		61%	-1,400
Cheyenne	22%	323	77%	1,148	1,498		Cheyenne	16%	224	83%	1,183	1,429		69%	-99
Clark	21%	245	77%	897	1,159		Clark	13%	143	85%	904	1,067		58%	-102
Clay	25%	1,009	74%	2,998	4,054		Clay	21%	894	76%	3,177	4,182		89%	-115
Cloud	28%	1,233	70%	3,121	4,451		Cloud	22%	920	76%	3,242	4,263		75%	-313
Coffey	26%	1,121	72%	3,054	4,232		Coffey	21%	964	76%	3,489	4,565		86%	-157
Comanche	20%	194	79%	765	974		Comanche	14%	126	83%	762	916		65%	-68
Cowley	36%	5,012	62%	8,492	13,787		Cowley	30%	4,273	68%	9,656	14,231		85%	-739
Crawford	50%	7,957	48%	7,735	16,075		Crawford	37%	6,179	60%	10,045	16,718		78%	-1,778
Decatur	22%	343	77%	1,189	1,548		Decatur	15%	218	84%	1,260	1,498		64%	-125
Dickinson	28%	2,422	70%	6,081	8,667		Dickinson	22%	2,060	76%	7,126	9,349		85%	-362
Doniphan	31%	1,115	67%	2,372	3,564		Doniphan	19%	686	80%	2,976	3,709		62%	-429
Douglas	64%	34,398	34%	17,929	53,398		Douglas	68%	40,785	29%	17,286	59,941		119%	6,387
Edwards	25%	333	73%	995	1,357		Edwards	19%	271	80%	1,141	1,431		81%	-62
Elk	25%	363	73%	1,042	1,434		Elk	14%	195	84%	1,140	1,361		54%	-168
Ellis	32%	4,010	66%	8,207	12,447		Ellis	27%	3,737	70%	9,758	13,856		93%	-273
Ellsworth	29%	851	69%	2,021	2,938		Ellsworth	23%	648	75%	2,148	2,853		76%	-203
Finney	32%	3,275	67%	6,926	10,354		Finney	37%	4,325	61%	7,236	11,846		132%	1,050
Ford	34%	2,991	65%	5,730	8,864		Ford	33%	2,947	65%	5,803	8,915		99%	-44
Franklin	38%	4,433	60%	7,079	11,739		Franklin	30%	3,690	68%	8,479	12,477		83%	-743
Geary	43%	3,491	56%	4,492	8,094		Geary	41%	3,983	55%	5,323	9,603		114%	492
Gove	18%	261	80%	1,136	1,418		Gove	11%	166	88%	1,291	1,471		64%	-95
Graham	23%	325	74%	1,060	1,423		Graham	17%	228	81%	1,080	1,337		70%	-97
Grant	24%	635	75%	1,995	2,661		Grant	21%	518	77%	1,936	2,501		82%	-117
Gray	21%	436	78%	1,643	2,119		Gray	15%	341	84%	1,911	2,288		78%	-95
Greeley	20%	151	79%	591	745		Greeley	12%	78	86%	549	641		52%	-73
Greenwood	27%	622	71%	1,619	2,279		Greenwood	18%	569	79%	2,444	3,077		91%	-53
Hamilton	21%	233	77%	844	1,096		Hamilton	16%	141	81%	698	859		61%	-92
Harper	26%	736	71%	1,999	2,796		Harper	17%	461	81%	2,168	2,678		63%	-275
Harvey	40%	6,318	58%	9,006	15,613		Harvey	39%	6,747	59%	10,182	17,399		107%	429
Haskell	18%	278	81%	1,277	1,570		Haskell	19%	268	80%	1,122	1,410		96%	-10
Hodgeman	19%	211	79%	865	1,096		Hodgeman	15%	154	84%	875	1,045		73%	-57
Jackson	37%	2,308	61%	3,811	6,253		Jackson	29%	1,881	69%	4,517	6,584		81%	-427
Jefferson	40%	3,542	58%	5,220	8,950		Jefferson	33%	3,194	65%	6,334	9,782		90%	-348
Jewell	20%	313	78%	1,231	1,584		Jewell	13%	212	85%	1,387	1,628		68%	-101
Johnson	45%	127,091	54%	152,627	283,432		Johnson	53%	184,259	45%	155,631	349,386		145%	57,168
Kearny	21%	309	78%	1,159	1,482		Kearny	18%	267	80%	1,164	1,455		86%	-42
Kingman	26%	963	71%	2,603	3,664		Kingman	19%	752	79%	3,130	3,949		78%	-211
Kiowa	18%	200	80%	912	1,135		Kiowa	13%	156	84%	980	1,165		78%	-44
Labette	43%	3,839	55%	5,001	9,031		Labette	31%	2,655	67%	5,735	8,563		69%	-1,184
Lane	19%	193	79%	814	1,027		Lane	13%	115	85%	762	895		60%	-78
Leavenworth	43%	13,255	55%	16,791	30,591		Leavenworth	38%	13,886	59%	21,610	36,490		105%	631
Lincoln	22%	347	76%	1,204	1,586		Lincoln	17%	266	81%	1,283	1,579		77%	-81
Linn	31%	1,425	67%	3,086	4,617		Linn	18%	896	80%	4,048	5,046		63%	-529
Logan	16%	225	82%	1,187	1,440		Logan	13%	186	86%	1,249	1,458		83%	-39
Lyon	46%	5,924	52%	6,698	12,911		Lyon	43%	6,055	54%	7,550	14,049		102%	131
Marion	30%	1,801	69%	4,159	6,059		Marion	25%	1,516	73%	4,465	6,111		84%	-285
Marshall	35%	1,784	63%	3,157	5,036		Marshall	25%	1,259	73%	3,729	5,114		71%	-525
McPherson	32%	4,218	67%	8,937	13,385		McPherson	29%	4,134	69%	9,964	14,438		98%	-84
Meade	18%	357	80%	1,540	1,931		Meade	14%	263	83%	1,523	1,825		74%	-94
Miami	37%	5,742	61%	9,382	15,377		Miami	29%	5,247	68%	12,308	17,989		91%	-495
Mitchell	22%	701	76%	2,440	3,203		Mitchell	18%	558	81%	2,504	3,101		80%	-143
Montgomery	31%	4,338	67%	9,309	13,907		Montgomery	24%	3,228	74%	9,931	13,426		74%	-1,110
Morris	32%	907	66%	1,875	2,841		Morris	25%	729	73%	2,124	2,899		80%	-178
Morton	16%	229	82%	1,153	1,402		Morton	13%	150	86%	1,034	1,198		66%	-79
Nemaha	27%	1,432	71%	3,817	5,359		Nemaha	16%	927	82%	4,664	5,684		65%	-505
Neosho	36%	2,563	62%	4,473	7,192		Neosho	26%	1,796	72%	4,970	6,877		70%	-767
Ness	19%	289	79%	1,207	1,525		Ness	10%	149	89%	1,339	1,513		52%	-140
Norton	21%	497	78%	1,878	2,415		Norton	15%	364	83%	2,007	2,415		73%	-133
Osage	34%	2,534	64%	4,820	7,544		Osage	27%	2,136	71%	5,705	8,035		84%	-398
Osborne	21%	403	77%	1,490	1,930		Osborne	14%	281	84%	1,629	1,945		70%	-122
Ottawa	23%	704	75%	2,323	3,086		Ottawa	16%	506	82%	2,610	3,191		72%	-198
Pawnee	31%	882	68%	1,946	2,879		Pawnee	23%	643	75%	2,045	2,739		73%	-239
Phillips	20%	525	79%	2,105	2,667		Phillips	11%	318	87%	2,418	2,781		61%	-207
Pottawatomie	26%	2,599	70%	6,929	9,837		Pottawatomie	25%	3,313	72%	9,452	13,083		127%	714
Pratt	31%	1,294	67%	2,822	4,190		Pratt	23%	933	75%	3,108	4,137		72%	-361
Rawlins	18%	273	81%	1,247	1,549		Rawlins	14%	214	84%	1,261	1,504		78%	-59
Reno	37%	9,916	61%	16,112	26,512		Reno	32%	8,886	66%	18,443	28,060		90%	-1,030
Republic	24%	640	74%	1,978	2,671		Republic	16%	424	82%	2,182	2,657		66%	-216
Rice	29%	1,163	69%	2,780	4,021		Rice	22%	965	76%	3,262	4,319		83%	-198
Riley	46%	10,495	53%	12,111	22,997		Riley	51%	12,765	46%	11,610	25,171		122%	2,270
Rooks	18%	468	80%	2,068	2,588		Rooks	13%	339	86%	2,325	2,699		72%	-129
Rush	28%	504	69%	1,225	1,781		Rush	18%	295	81%	1,350	1,677		59%	-209
Russell	22%	736	76%	2,509	3,293		Russell	17%	600	80%	2,790	3,467		82%	-136
Saline	36%	8,186	62%	14,165	22,788		Saline	33%	8,214	64%	15,722	24,624		100%	28
Scott	15%	321	84%	1,823	2,179		Scott	13%	299	86%	2,014	2,354		93%	-22
Sedgwick	43%	82,337	55%	106,849	192,716		Sedgwick	43%	95,870	54%	122,416	224,862		116%	13,533
Seward	28%	1,493	71%	3,791	5,336		Seward	35%	1,833	64%	3,372	5,294		123%	340
Shawnee	49%	41,235	49%	41,476	84,177		Shawnee	50%	43,015	47%	40,443	86,122		104%	1,780
Sheridan	18%	254	81%	1,108	1,376		Sheridan	10%	147	89%	1,282	1,445		58%	-107
Sherman	25%	688	72%	1,959	2,704		Sherman	15%	396	83%	2,269	2,727		58%	-292
Smith	20%	446	78%	1,719	2,204		Smith	16%	336	83%	1,763	2,129		75%	-110
Stafford	26%	542	72%	1,495	2,074		Stafford	18%	357	81%	1,645	2,034		66%	-185
Stanton	23%	188	76%	628	827		Stanton	19%	148	79%	614	776		79%	-40
Stevens	13%	283	85%	1,815	2,127		Stevens	12%	237	87%	1,760	2,031		84%	-46
Sumner	32%	3,353	65%	6,737	10,337		Sumner	24%	2,591	74%	8,105	10,928		77%	-762
Thomas	21%	787	77%	2,837	3,673		Thomas	16%	625	82%	3,130	3,810		79%	-162
Trego	25%	420	73%	1,225	1,671		Trego	15%	242	84%	1,363	1,630		58%	-178
Wabaunsee	29%	1,036	68%	2,395	3,521		Wabaunsee	25%	964	73%	2,845	3,902		93%	-72
Wallace	12%	96	86%	690	804		Wallace	5%	44	93%	770	825		46%	-52
Washington	22%	659	75%	2,248	2,980		Washington	16%	475	82%	2,363	2,883		72%	-184
Wichita	16%	163	82%	840	1,019		Wichita	15%	149	83%	808	968		91%	-14
Wilson	28%	1,170	69%	2,850	4,121		Wilson	18%	723	80%	3,153	3,954		62%	-447
Woodson	32%	512	66%	1,055	1,599		Woodson	19%	294	79%	1,228	1,546		57%	-218
Wyandotte	70%	39,865	29%	16,506	57,169		Wyandotte	64%	36,788	33%	18,934	57,071		92%	-3,077
		514,765		699,655	1,235,858				570,323		771,406	1,377,484			55,558
Kansas 3rd CD
Johnson	45%	127,091	54%	152,627	283,432		Johnson	53%	184,259	45%	155,631	349,386		145%	57,168
Miami	37%	5,742	61%	9,382	15,377		Miami	29%	5,247	68%	12,308	17,989		91%	-495
Wyandotte	70%	39,865	29%	16,506	57,169		Wyandotte	64%	36,788	33%	18,934	57,071		92%	-3,077
		172,698		178,515	355,978				226,294		186,873	424,446			53,596	increase over	Obama 2008
2020 race
Democratic	Davids	220,049	54%												41,276	Davids minus	Adkins
Republican	Adkins	178,773	44%
Libertarian	Hohe	11,596	3%
		410,418	100%
														Hillary	Hillary
														divided by	minus
														Obama	Obama
	2008	Obama	2008	McCain	2008 total			2016	Hillary	2016	Trump	2016 total		Col 1	Col 2
Allen	37%	2,189	61%	3,552	5,859		Allen	26%	1,433	67%	3,651	5,454		65%	-756
Anderson	32%	1,175	65%	2,362	3,626		Anderson	20%	672	73%	2,435	3,350		57%	-503
Atchison	45%	3,241	53%	3,791	7,191		Atchison	30%	1,989	62%	4,049	6,575		61%	-1,252
Barber	24%	598	74%	1,833	2,462		Barber	13%	286	82%	1,850	2,252		48%	-312
Barton	27%	3,027	71%	7,802	11,057		Barton	18%	1,839	77%	7,888	10,268		61%	-1,188
Bourbon	35%	2,394	63%	4,240	6,781		Bourbon	22%	1,336	73%	4,424	6,093		56%	-1,058
Brown	30%	1,317	68%	2,985	4,376		Brown	21%	863	72%	2,906	4,036		66%	-454
Butler	33%	9,159	65%	18,155	27,873		Butler	24%	6,573	69%	19,073	27,657		72%	-2,586
Chase	28%	383	71%	976	1,384		Chase	23%	316	71%	969	1,369		83%	-67
Chautauqua	22%	401	77%	1,418	1,852		Chautauqua	13%	197	83%	1,236	1,481		49%	-204
Cherokee	37%	3,594	61%	5,886	9,665		Cherokee	23%	2,005	72%	6,182	8,620		56%	-1,589
Cheyenne	22%	323	77%	1,148	1,498		Cheyenne	13%	181	83%	1,173	1,407		56%	-142
Clark	21%	245	77%	897	1,159		Clark	12%	120	82%	825	1,005		49%	-125
Clay	25%	1,009	74%	2,998	4,054		Clay	18%	677	76%	2,891	3,820		67%	-332
Cloud	28%	1,233	70%	3,121	4,451		Cloud	19%	761	74%	2,919	3,930		62%	-472
Coffey	26%	1,121	72%	3,054	4,232		Coffey	18%	727	75%	3,050	4,068		65%	-394
Comanche	20%	194	79%	765	974		Comanche	12%	102	82%	715	867		53%	-92
Cowley	36%	5,012	62%	8,492	13,787		Cowley	28%	3,551	66%	8,270	12,621		71%	-1,461
Crawford	50%	7,957	48%	7,735	16,075		Crawford	35%	5,199	58%	8,624	14,891		65%	-2,758
Decatur	22%	343	77%	1,189	1,548		Decatur	12%	178	83%	1,210	1,452		52%	-165
Dickinson	28%	2,422	70%	6,081	8,667		Dickinson	20%	1,609	73%	6,029	8,210		66%	-813
Doniphan	31%	1,115	67%	2,372	3,564		Doniphan	17%	587	77%	2,606	3,378		53%	-528
Douglas	64%	34,398	34%	17,929	53,398		Douglas	62%	31,195	29%	14,688	50,087		91%	-3,203
Edwards	25%	333	73%	995	1,357		Edwards	16%	212	79%	1,037	1,319		64%	-121
Elk	25%	363	73%	1,042	1,434		Elk	13%	160	83%	1,048	1,259		44%	-203
Ellis	32%	4,010	66%	8,207	12,447		Ellis	23%	2,742	71%	8,466	11,947		68%	-1,268
Ellsworth	29%	851	69%	2,021	2,938		Ellsworth	19%	521	74%	1,969	2,679		61%	-330
Finney	32%	3,275	67%	6,926	10,354		Finney	31%	3,195	63%	6,350	10,159		98%	-80
Ford	34%	2,991	65%	5,730	8,864		Ford	28%	2,149	66%	5,114	7,718		72%	-842
Franklin	38%	4,433	60%	7,079	11,739		Franklin	26%	2,892	66%	7,185	10,965		65%	-1,541
Geary	43%	3,491	56%	4,492	8,094		Geary	36%	2,722	57%	4,274	7,504		78%	-769
Gove	18%	261	80%	1,136	1,418		Gove	11%	149	85%	1,140	1,343		57%	-112
Graham	23%	325	74%	1,060	1,423		Graham	15%	188	80%	1,025	1,284		58%	-137
Grant	24%	635	75%	1,995	2,661		Grant	18%	441	76%	1,804	2,389		69%	-194
Gray	21%	436	78%	1,643	2,119		Gray	13%	263	82%	1,698	2,066		60%	-173
Greeley	20%	151	79%	591	745		Greeley	13%	83	82%	534	650		55%	-68
Greenwood	27%	622	71%	1,619	2,279		Greenwood	17%	485	76%	2,160	2,840		78%	-137
Hamilton	21%	233	77%	844	1,096		Hamilton	14%	121	80%	705	876		52%	-112
Harper	26%	736	71%	1,999	2,796		Harper	15%	393	77%	1,996	2,578		53%	-343
Harvey	40%	6,318	58%	9,006	15,613		Harvey	34%	5,068	58%	8,668	14,916		80%	-1,250
Haskell	18%	278	81%	1,277	1,570		Haskell	18%	245	77%	1,040	1,354		88%	-33
Hodgeman	19%	211	79%	865	1,096		Hodgeman	12%	124	84%	855	1,017		59%	-87
Jackson	37%	2,308	61%	3,811	6,253		Jackson	26%	1,512	68%	3,939	5,818		66%	-796
Jefferson	40%	3,542	58%	5,220	8,950		Jefferson	30%	2,518	63%	5,213	8,337		71%	-1,024
Jewell	20%	313	78%	1,231	1,584		Jewell	12%	180	82%	1,223	1,494		58%	-133
Johnson	45%	127,091	54%	152,627	283,432		Johnson	45%	129,852	47%	137,490	290,090		102%	2,761
Kearny	21%	309	78%	1,159	1,482		Kearny	13%	174	82%	1,075	1,316		56%	-135
Kingman	26%	963	71%	2,603	3,664		Kingman	18%	599	76%	2,530	3,334		62%	-364
Kiowa	18%	200	80%	912	1,135		Kiowa	11%	114	83%	900	1,079		57%	-86
Labette	43%	3,839	55%	5,001	9,031		Labette	28%	2,291	66%	5,335	8,107		60%	-1,548
Lane	19%	193	79%	814	1,027		Lane	12%	106	82%	718	871		55%	-87
Leavenworth	43%	13,255	55%	16,791	30,591		Leavenworth	34%	10,209	58%	17,638	30,301		77%	-3,046
Lincoln	22%	347	76%	1,204	1,586		Lincoln	15%	215	81%	1,179	1,464		62%	-132
Linn	31%	1,425	67%	3,086	4,617		Linn	17%	736	79%	3,484	4,427		52%	-689
Logan	16%	225	82%	1,187	1,440		Logan	11%	149	83%	1,132	1,357		66%	-76
Lyon	46%	5,924	52%	6,698	12,911		Lyon	38%	4,649	53%	6,552	12,288		78%	-1,275
Marion	30%	1,801	69%	4,159	6,059		Marion	21%	1,204	71%	4,003	5,624		67%	-597
Marshall	35%	1,784	63%	3,157	5,036		Marshall	23%	1,072	71%	3,307	4,673		60%	-712
McPherson	32%	4,218	67%	8,937	13,385		McPherson	25%	3,226	67%	8,549	12,742		76%	-992
Meade	18%	357	80%	1,540	1,931		Meade	12%	210	82%	1,415	1,720		59%	-147
Miami	37%	5,742	61%	9,382	15,377		Miami	27%	3,991	67%	10,003	15,022		70%	-1,751
Mitchell	22%	701	76%	2,440	3,203		Mitchell	16%	477	78%	2,308	2,942		68%	-224
Montgomery	31%	4,338	67%	9,309	13,907		Montgomery	22%	2,637	72%	8,679	12,004		61%	-1,701
Morris	32%	907	66%	1,875	2,841		Morris	23%	601	69%	1,820	2,624		66%	-306
Morton	16%	229	82%	1,153	1,402		Morton	12%	147	83%	995	1,192		64%	-82
Nemaha	27%	1,432	71%	3,817	5,359		Nemaha	14%	725	81%	4,124	5,122		51%	-707
Neosho	36%	2,563	62%	4,473	7,192		Neosho	24%	1,501	70%	4,431	6,314		59%	-1,062
Ness	19%	289	79%	1,207	1,525		Ness	11%	162	84%	1,228	1,454		56%	-127
Norton	21%	497	78%	1,878	2,415		Norton	13%	281	82%	1,840	2,234		57%	-216
Osage	34%	2,534	64%	4,820	7,544		Osage	25%	1,753	68%	4,826	7,046		69%	-781
Osborne	21%	403	77%	1,490	1,930		Osborne	13%	233	82%	1,460	1,788		58%	-170
Ottawa	23%	704	75%	2,323	3,086		Ottawa	15%	424	79%	2,283	2,903		60%	-280
Pawnee	31%	882	68%	1,946	2,879		Pawnee	22%	579	72%	1,904	2,661		66%	-303
Phillips	20%	525	79%	2,105	2,667		Phillips	11%	300	84%	2,233	2,664		57%	-225
Pottawatomie	26%	2,599	70%	6,929	9,837		Pottawatomie	21%	2,225	71%	7,612	10,693		86%	-374
Pratt	31%	1,294	67%	2,822	4,190		Pratt	20%	771	74%	2,838	3,842		60%	-523
Rawlins	18%	273	81%	1,247	1,549		Rawlins	11%	163	83%	1,220	1,472		60%	-110
Reno	37%	9,916	61%	16,112	26,512		Reno	28%	6,837	64%	15,513	24,210		69%	-3,079
Republic	24%	640	74%	1,978	2,671		Republic	15%	375	80%	2,024	2,529		59%	-265
Rice	29%	1,163	69%	2,780	4,021		Rice	18%	695	75%	2,837	3,804		60%	-468
Riley	46%	10,495	53%	12,111	22,997		Riley	43%	9,341	47%	10,107	21,532		89%	-1,154
Rooks	18%	468	80%	2,068	2,588		Rooks	11%	275	84%	2,031	2,419		59%	-193
Rush	28%	504	69%	1,225	1,781		Rush	16%	233	80%	1,197	1,503		46%	-271
Russell	22%	736	76%	2,509	3,293		Russell	14%	461	81%	2,574	3,193		63%	-275
Saline	36%	8,186	62%	14,165	22,788		Saline	29%	6,317	63%	13,828	22,064		77%	-1,869
Scott	15%	321	84%	1,823	2,179		Scott	11%	236	85%	1,865	2,202		74%	-85
Sedgwick	43%	82,337	55%	106,849	192,716		Sedgwick	37%	69,627	55%	104,353	188,783		85%	-12,710
Seward	28%	1,493	71%	3,791	5,336		Seward	32%	1,628	63%	3,159	5,038		109%	135
Shawnee	49%	41,235	49%	41,476	84,177		Shawnee	45%	33,926	48%	35,934	75,406		82%	-7,309
Sheridan	18%	254	81%	1,108	1,376		Sheridan	9%	127	87%	1,197	1,374		50%	-127
Sherman	25%	688	72%	1,959	2,704		Sherman	13%	347	80%	2,089	2,612		50%	-341
Smith	20%	446	78%	1,719	2,204		Smith	15%	297	81%	1,661	2,042		67%	-149
Stafford	26%	542	72%	1,495	2,074		Stafford	16%	304	79%	1,490	1,896		56%	-238
Stanton	23%	188	76%	628	827		Stanton	18%	115	77%	492	637		61%	-73
Stevens	13%	283	85%	1,815	2,127		Stevens	12%	220	85%	1,599	1,891		78%	-63
Sumner	32%	3,353	65%	6,737	10,337		Sumner	21%	2,076	72%	6,984	9,722		62%	-1,277
Thomas	21%	787	77%	2,837	3,673		Thomas	13%	473	81%	2,908	3,576		60%	-314
Trego	25%	420	73%	1,225	1,671		Trego	13%	198	83%	1,227	1,482		47%	-222
Wabaunsee	29%	1,036	68%	2,395	3,521		Wabaunsee	23%	776	70%	2,372	3,380		75%	-260
Wallace	12%	96	86%	690	804		Wallace	6%	46	90%	721	798		48%	-50
Washington	22%	659	75%	2,248	2,980		Washington	14%	387	79%	2,194	2,765		59%	-272
Wichita	16%	163	82%	840	1,019		Wichita	15%	140	80%	769	956		86%	-23
Wilson	28%	1,170	69%	2,850	4,121		Wilson	17%	594	78%	2,788	3,591		51%	-576
Woodson	32%	512	66%	1,055	1,599		Woodson	19%	273	75%	1,082	1,443		53%	-239
Wyandotte	70%	39,865	29%	16,506	57,169		Wyandotte	62%	30,146	32%	15,806	48,781		76%	-9,719
		514,765		699,655	1,235,858				427,005		671,018	1,184,402			-87,760

[kiryandil]

As we can see, the Johnson County vote fraud mothership has got the Kansas 3rd US congressional district all wrapped up for the Democrat party.

Most of the rest of the counties in the state forgot there was a bitter and contentious presidential race going on - but not those intrepid ballot-stuffers in Johnson County!

No sirree Bob! Around 130,000 for Obama 2008 and Hillary 2016 - but 184,000 for The Joek! GOLL-LEE!!

It's rare to see such civic mindedness amongst the voters - unless it's the 110 percent of registered voters turnout in Filthadelphia PA and Swillwaukee WI...

[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.

We'll note that the Kansas CD3 area of Johnson County is about 20 miles by 24 miles - perfect for a crew of busy ballot fraud bees to drive around stuffing mail ballot drop boxes...

[kiryandil]

ping to you

[moovova]

Excerpt is your friend.

[kiryandil]

Ping to you.

I'm still trying to figure out why The Louse almost lost control of the US House, while they were busy stealing all these various House seats in Trump states.

It's a puzzle. Any ideas?   

[kiryandil]

This isn't an excerpt from anywhere online - I created these spreadsheets.

Just illuminating the information that the Brandon Media refuses to illuminate.

If someone just TELLS you that a certain thing is happening, most people will go "Sure, Jan", and move on (or moovova).

I lay it all out with the circles and the lines.

[JonPreston]

Mitch $ McCarthy got this.

[kiryandil]

They burned up their printers in Johnson County printing those extra 50,000 "votes".

The Democrats first stole Kansas CD-3 in the phony "blue wave" of 2018.

The Assistant Democrats didn't make a peep about it, so they stole it again in 2020.

It's like taking candy from a STUPID baby.

[lonestar67]

I lived in those vicinities of Douglas and Johnson counties in the 1990s.

You are definitely correct.

Douglas county is home to Lawrence and the Unviersity of Kansas.

Radical dems control that area and can commit all kinds of fraud— especially working with the students at KU.

[kiryandil]

Radical dems control that area and can commit all kinds of fraud— especially working with the students at KU.

Maybe that explains the absolutely outrageous number of "votes"

As I wrote in post #8, the Democrats first stole Kansas CD-3 in the phony "blue wave" of 2018.

They perfected their Johnson County vote fraud mechanism that "election", then went for the gusto in 2020.

You'll notice that Douglas had 119% of the Obama 2008 turnout. I consider anything above 107% more than Obama 2008 to be suspicious.

[kiryandil]

The other over-voted counties in 2020 look like they had to do with seats in the state legislature.

Would there be a reason for that, something I don't know about Kansas? I mean, the Pubbies control the state legislature handily, don't they?   

[lonestar67]

I think KU students would be happy to vote in their home states and in Kansas. I also think they would be delighted to do ballot harvest activities in that part of the state all the way from Topeka to Olathe.

The lack of national checks on voting in two states is a huge problem in my opinion. I suspect colleges and universities are the hubs of these activities across the nation. I have a lot of insights on these various campuses.

[kiryandil]

The lack of national checks on voting in two states is a huge problem in my opinion. I suspect colleges and universities are the hubs of these activities across the nation. I have a lot of insights on these various campuses.

I remember seeing a story about awesome turnout in an empty California university dorm [Da Covid] soon after the 2020 "election".

I agree that it's a huge problem.

[lonestar67]

Butler county is home basically to Wichita State University.

It would also happily engage in fraud.

State college campuses dominate all politics beyond anything Republicans generally control.

Kansas Republicans are generally weak and compliant compared to national Republicans. I did like Brownback but rarely saw strong Republicans there.

I doubt there is much they could do to stop probably permissive mail in voting schemes. I do not know what their COVID adaptations were but I imagine they did mail in voting and that meant they could harvest votes.

In the excess 100^ counties I would look for a college or university and try to figure out how the Campus Democrats worked on voting for elections. Therein likely lies the secrets.

[kiryandil]

The Iowa secretary of state cut the Iowa Dem fraudsters off at the pass in 2020 by requiring that the ballot drop boxes be moved to areas controlled by and under camera surveillance of the local election officials in the various jurisdictions.

[kiryandil]

They still managed to steal one US House seat, and almost got another one [Pubbie Marianne Miller-Meeks won by 6 votes].

[peggybac]

Johnson County is lost to the libs. I was born and raised in Prairie Village - moved away then moved back - and it’s as blue as ever. I understand SME is big on CRT and other woke things. It’s such a shame.

[mcshot]

...”I lay it all out with the circles and the lines.’

---

Dam I can barely read that far and sure as hell can’t type that long but the message is clear; We’ve been robbed.

[kiryandil]

I imagine it’s like finding a big nest of rattlesnakes.

[navymom1]

Thanks! Im not living there anymore but hopefully this is getting traction.