Category: limerick

Election fraud all over the country! A Limerick.

From a small precinct in Antrim County, Michigan comes this astounding vote result:

“Dominion’s voting machine totals showed 663 people voted in a district where there were only 6 eligible voters and only 3 of those 6 actually voted. Somehow, Dominion added 660 additional votes to the final tally.”

The votes that were counted in Antrim

would lead to a truth seeker’s tantrum

Find the Trump votes to trim

Add to Biden for win

the cheat, steal and change votes to grant him.

These are the so called “glitches” in the software. Some voting machines were connected to the internet while counting was going on. All results from the thumb drives were uploaded to the live feed given to NYT and the Guardian for  online real time election result display. But an even more detailed feed was transmitted worldwide and was archived in Germany. The voting machines that were connected to the internet could have been modified from another server, either domestically or by a foreign power, for example, China. They had an interest in electing Biden.

This is no way to run an election! Banks can do safe transactions without any “glitches”. Voting is much easier to make secure. Granted, you need ID to deal with the bank and voting is anonymous after eligibility is established. To solve this, record the verified ID and signature of the application,complete with an encrypted code. Then print the same encrypted code on the paper vote and the return envelope. Then the signature checks can be made automatic, and the vote itself is traceable, and only those machines with access to the encryption code can identify the vote.

Gateway Pundit shows how part of the fraud was done:

The vote count in Wade County, Georgia, an “election fraud 101” lesson, a Limerick.

Thanks, OAN!

The votes that was counted in Wade

to Biden were switched, or mislaid.

What was meant for Don Trump

switched to Biden, or dumped.

New Age, like of Marquis de Sade.

Election was rigged? Only if you look at the data, not if you listen to the media. The President’s “Most Important Speech”.

President Trump Made his “most important speech” on Dec 2, lasting 46 minutes and 7 seconds.

The media’s response to the speech was less than positive.

Factcheck.org Trump’s ‘Most Important’ speech was Mostly False

NYT: Trump delivers 46 minutes diatribe on the ‘Rigged’ election.

Yahoo News: Trump rehashes bogus vote-fraud claims for 46 minutes in his ‘most important speech‘ ever.

Independent.co.uk: Pres Trump in this 46 minute video he just released says this might be the most important speech he has ever given,”

cnn.com: 46 minutes that prove how dangerous Donald Trump is to democracy.

These were the first five suggestions on Google.

I have a great interest in making sure the elections are free from fraud, so in my view this must be fixed and secured. If the banks can do secure transactions, so can voting transactions be made secure. Without secure votes we will no longer have a country.

Arizona: @JennaEllisEsq “In Arizona we have over 500k ballots that were cast illegally. 11,000 are “over-votes”, meaning more votes cast than they have registered voters in a specific precinct. Just that alone would change the outcome of the election.

Georgia: The big news you need to hear about today is Ware County, Georgia. Dominion machines were seized. Equal number of Trump and Biden votes were forensically analyzed. However, the machines reported 87% for Trump and 113% for Biden. Should be 100% for both.

One snippet from Gateway-pundit: Data Expert Edward Solomon analyzed the 2020 election results in Georgia and identified another pattern in the data showing ultimately 200,000 votes transferred from President Trump to Joe Biden at the precinct level.

Nevada: In his ruling Friday, Judge James Russell said there was no evidence of fraud, writing what was shown to him did not prove any of the allegations.

In the state case that was dismissed, lawyers representing the Republican Party’s electors and the campaign said:

  • 1,506 votes cast in the election came from dead voters
  • 2,468 votes were cast by voters who changed their address to another state or country
  • 42,284 voters voted twice
  • About 20,000 voters voted in Nevada without a Nevada mailing address.
  • The evidence, which included 20 binders-worth of materials, was submitted to the court under seal, meaning it could not be viewed publicly. At a news conference on Nov. 5, where surrogates from the Trump campaign announced a federal lawsuit, which was later dropped, speakers told reporters to find the evidence for themselves. That lawsuit was later dismissed voluntarily. During the sole hearing in that case, a lawyer provided no evidence of fraud and did not verbally bring up any evidence to the federal judge.Russell’s 34-page order details the allegations issue-by-issue. This is the first time the public has been able to see the evidence as presented with specific depositions cited.
  • This is to be continued.

Michigan: ANTRIM COUNTY, MI – A man can examine election equipment by court order in the same northern Michigan county that saw early, but since corrected, issues with vote totals in the presidential election.

Judge Kevin Elsenheimer of the 13th Circuit Court in Antrim County ordered that William Bailey of Central Lake could take “forensic images” of the 22 tabulators used for a vote on a marijuana retailer proposal he is challenging.

The order makes no mention of Antrim County’s presidential results, where a software issue initially led to an inaccurate vote count that was corrected after a paper ballot recount, which awarded the county to President Donald Trump.

Instead, Bailey wants to overturn a proposal to allow a marijuana retailer in his village that initially resulted in a 262-262 tie, which was considered a loss for the proposal, the order stated. A retabulation saw the proposal pass by one vote, which Bailey alleges didn’t count three damaged ballots.

It is a “greater public interest” right now to confirm “the accuracy, integrity and security of the election process” than potential future misuse of election software discovered during the examination, Elsenheimer wrote.

The forensic examination took place Sunday with Bailey, Antrim County Clerk Sheryl Guy, county administrator Pete Garwood, county attorney Haider Kazim, three county commissioners, a county IT technician and a member of the Sheriff’s department, said county spokesman Jeremy Scott in a release.

Jenna Ellis, an attorney for Trump, told Fox News on Sunday that Elsenheimer “granted our team” access to the tabulating machines.

It is interesting the judge granted examination for the marijuana ballot initiative but not the presidential vote. Yet there has been a 6000 vore “error” in that county alone.

Pennsylvania: Pennsylvania Certified the 2020 vote, fraud and all. The numbers do not add up.

Wisconsin:

This absentee ballot surge should be recounted by hand to ensure there was no double loading of votes.

 

California:  Voter fraud in California? Yes, millions of non-citizens with driver’s Licenses voted!

At least 29 states using Dominion voting machines:   Benford’s law and the 2020 election. A Limerick on fraud.

Elections and fraud in this nation

cannot stand a close observation.

Zero Trump votes are added

but Joe Biden’s are padded

an act of the left’s desperation.

 

 

Pennsylvania Certified the 2020 vote, fraud and all. The numbers do not add up.

 

Living in Pennsylvania I take a keen interest in checking the voter result. Somebody took a screenshot of the vote counting in Lancaster Co.

This was partial results. How did it stack up for the whole state? The results are in and certified by none other than Governor Wolf, so these must be true results:

So what were the results? These are the official numbers from Sidney Powell

If all of these counted ballots count we get the following result:

Joseph R. Biden 3,456,008, Donald J. Trump: 3,465,578.

But the official tally was as Pennsylvania Secretary of State Kathy Boockvar made the final count official three weeks after the Nov. 3 election: Biden received 3,458,229 votes, 80,555 more than President Donald Trump’s 3,377,674 votes. Biden won 50.01% of the vote to 48.8% for Trump.

However it is impossible to have more legal mail-in ballots than was officially requested. The mail-in votes for Trump was 22.97% of the total, so we should at least take away 258,813 votes away from President Trump and the remaining overcount of 868,127 votes away from Joe Biden.

This would give a net vote count for President Trump of 3,118,861 votes and a net count for Joseph R Biden of 2,590,102 votes

In other words: President Donald J. Trump won Pennsylvania by 528,759 votes!

Please recount all mail-in ballots and explain what happened!

And while you are at it, recount by hand

7th Congressional District

Votes: D Susan Wild 195,713 51.9%

R Lisa Scheller 181,569 48.1%

8th Congressional District

Votes: D Matt Cartwright 178,407 51.8%

R Jim Bognet 166,201 48.2%

17th Congressional District1

Votes: D Conor Lamb 222,242 51.1%

R Sean Parnell 212,279 48.9%

They could all flip when the mail-in overcount is removed!

 

 

Eleven counties that may overturn the election. Their votes in 2012, 2016 and (so far) in 2020.

County          2020  Biden     Trump      %B  %T

                       2016  Clinton   Trump     %C   %T

                       2012  Obama   Romney    %O  %R

Philadelphia 2020 594,005 131,330 81.4% 18%

                       2016 584,025 108,748 82.3% 15.3% 

                       2012 557,024   91,840 85.2% 14.1%

Allegheny      2020 428,876   282,170 59.6% 39.2%

(Pittsburgh)  2016 357,167  259,480  55.9%  39.5%

                        2012 348,151  259,304  56.6%  42.2%

Maricopa co 2020 1.040,774 995,665  50.3% 48.1%

(Phoenix, AZ) 2016 702,907  747,361  44.8%  47,7%

                         2012  532,284 680.089  43.2% 55.1%

Wayne Co       2020  587,074 264,149  68.1%  30.7%

(Detroit)         2016   519,444 228,993  66.4%  29.3%

                         2012   595,253  213,586 73.1%  26.2%

Kent CO           2020  186,753  165.318  52%     46%

(Grand Rapids) 2016 138,683  148,180  44.6% 47.7%

                          2012   134,560  157,801  45.5% 53.4%

Milwaukee co 2020  317,270   134,357  69.4% 29.4%

Wisconsin        2016    288,822 128,069  65.5% 28.6%

                           2012   328,090  158,430  66.8% 32.3%

Dane Co            2020  260,185    78,800  75.7%  22.9%

(Madison)         2016  217,697    71,275   70.4% 23.0%

                           2012   215,389    83,459   71.1%  27.6%

Clark Co            2020   521,852  430,930  53.7%  44.3%

(Las Vegas)       2016   402,227  320,057  52.4%  41.7%

                           2012   387,978  288,223  56.4%  41.9%

Fulton Co          2020  381,144   137,240  72,6%  26.2%

(Atlanta)           2016  297,051  117,783  67.7%  26.8%

                           2012   248,479  133,837   64.2%  34.6%

DeKalb Co         2020   308,140   58,369    83.1%  15.7%

                            2016   251,370   51,469   79.1%   16.2%

                            2012    237,704    64.308  77.9%  21.1%

Gwinnett Co      2020   241,827  166,413  58.4%  40.2%

                            2016   166,153  146,989   50.2%  44.4%

                            2012    131,879  159,563  44.6%  54%

Vote count 2012, 2016 and 2020 by state and (D) vs (R) . (2020 as per 10/15)

State      ·  Clinton (D) Trump (R) D %    R %   D’12  D’16 Margin Total ’12     Total ’16

                     Votes           Votes      2016   2016      Margin   Shift    Votes           Votes  

2020          Biden (D)   Trump (R)                        total 2020

Raw Votes vs. ’12 U.S.

 Total      65,844,610 62,979,636 48.2% 46.1%  3.9% 2.1% -1.8% 129,075,630 136,628,459 

2020        79,982,189 73,288,903                                                       153,271,062  

Swing States

Arizona*     1,161,167 1,252,401 45.1% 48.7% -9.1% -3.5% 5.5% 2,299,254 2,573,165

2020            1,672,054 1,661,677 49.4% 49.1%

Colorado*   1,338,870 1,202,484 48.2% 43.3%  5.4% 4.9% -0.5% 2,569,521 2,780,220

2020            1,803,921 1,364,202 55,4% 41.9%

 Florida*     4,504,975 4,617,886. 47.8% 49.0%  0.9% -1.2% -2.1% 8,474,179 9,420,039

2020            5,297,029 5,668,728  47.9% 51.2%

Iowa*             653,669    800,983  41.7% 51.1%  5.8% -9.4% -15.2% 1,582,180 1,566,031

2020              758,597     897,356  45%    53,2% 

Maine*           357,735.   335,593. 47.8% 44.9% 7.3% 15.3% 3.0% -12.3% 713,180 747,927

2020               430,023    359,502  52.9%  44.2%

Michigan*   2,268,839 2,279,543  47.3% 47.5% 9.5% -0.2% -9.7% 4,730,961 4,799,284

2020             2,795,184 2,649,063 50.6%  47,9%

Minnesota*  1,367,716 1,322,951  46.4% 44.9% 7.7% 1.5% -6.2% 2,936,561 2,944,813

Nevada*         539,260.    512,058. 47.9% 45.5% 6.7% 2.4% -4.3% 1,014,918 1,125,385

2020               703,486     669,890  50.1%  47.7%

N. Hampshire 348,526     345,790  46.8% 46.5% 5.6% 0.4% -5.2% 710,972 744,158

2020                423,291     365,373  52.8% 45.6%

N. Carolina* 2,189,316. 2,362,631. 46.2% 49.8%  -2.0% -3.7% -1.6% 4,505,372 4,741,564

2020              2,683,787  2,757,112  48.7% 50%

Ohio*            2,394,164  2,841,005  43.6% 51.7% 3.0% -8.1% -11.1% 5,580,840 5,496,487

2020              2,603,731  3,074,418  46.5% 52.1%

Pennsylvania2,926,441 2,970,733   47.9% 48.6%  5.4% -0.7% -6.1% 5,753,546 6,115,402

2020             3,434,458  3,361,131  50.0%  48,9%

Wisconsin*  1,382,536 1,405,284   46.5% 47.2%  6.9% -0.8% -7.7% 3,068,434 2,976,150

2020             1,630,683 1,610,139   49.6%  48.9%

Non-Swing States

Alabama*        729,547 1,318,255  34.4% 62.1% -22.2% -27.7% -5.5% 2,074,338 2,123,372

2020                 843,724 1,434,315  36.6% 62.3%

Alaska*           116,454    163,387   36.6% 51.3%  -14.0% -14.7% -0.7% 300,495 318,608

2020   (98%)   150,155    185,807   43%    53.2%

Arkansas*        380,494.   684,872. 33.7% 60.6% -23.7% -26.9 -3.2% 1,069,468 1,130,635

2020                 418,811    757,315   34,6% 62.6%

California*   8,753,788 4,483,810 61.7% 31.6% 23.1% 30.1% 7.0% 13,038,547 14,181,595

2020 (96%) 10,759,316 5,749,736 63.8% 34.1%

Connecticut*   897,572    673,215 ,54.6% 40.9%  17.3% 13.6% -3.7% 1,558,114 1,644,920

2020             1,080,471    714,581  59.3%  39.2%

Delaware*       235,603    185,127  53.4% 41.9%  18.6% 11.4% -7.2% 413,890 441,590

2020                295,493    199,829  58.8%  39.8%

D. C.*              282,830      12,723  90.9%   4.1%  83.6% 86.8% 3.1% 293,764 311,268

2020                307,265       18,172  92.9%  5.5%

Georgia*       1,877,963  2,089,104 45.9% 51.0%  -7.8% -5.2% 2.7% 3,900,050 4,092,373

2020              2,472,002  2,457,880 49.5% 49.2%            

Hawaii*           266,891     128,847  62.2% 30.0%  42.7% 32.2% -10.5% 434,697 428,937

2020  (96%)     365,802    196,602  63.7%  34.3%

Idaho*             189,765     409,055  27.5% 59.3%  -31.9% -31.8% 0.1% 652,274 690,255

2020                 286,991     554,019 33.1%  63.9%

Illinois*        3,090,729   2,146,015  55.8% 38.8%  16.9% 17.1% 0.2% 5,242,014 5,536,424

2020             3.414.236   2,405,750  57.6%  40.6%

Indiana*      1,033,126.  1,557,286.37.8% 56.9% -10.2%-19.2% -9.0% 2,624,534 2,734,958

2020             1,242,163   1,729,472   41%    57.1%

Kansas*          427,005      671,018  36.1% 56.7%  -21.7% -20.6% 1.1% 1,159,971 1,184,402

2020                551,144       752,903  41.3% 56.5%

Kentucky*     628,854   1,202,971 32.7% 62.5%  -22.7% -29.8% -7.1% 1,797,212 1,924,149

2020                 772,285   1,326,418  36.2% 62.1%

Louisiana*      780,154 1,178,638 38.4% 58.1%  -17.2% -19.6% -2.4% 1,994,065 2,029,032

2020                856,034    1,255,776  39.9% 58.5%

Maryland*    1,677,928.     943,169  60.3% 33.9%  26.1% 26.4% 0.3% 2,707,327 2,781,446

2020              1,905,407     958,547   65.3% 32.9%

Mass.*          1,995,196   1,090,893  60.0% 32.8%  23.1% 27.2% 4.1% 3,167,767 3,325,046

2020              2,316,338   1,148,777 65.6%  32.6%

Mississippi*   485,131    700,714  40.1% 57.9%  -11.5% -17.8% -6.3% 1,285,584 1,209,357

2020                514,891       741,571  40.4% 58.2%   

Missouri*     1,071,068   1,594,511 38.1% 56.8%  -9.4% -18.6% -9.3% 2,757,323 2,808,605

2020             1,242,851   1,711,848   41.3% 56.9%

Montana*        177,709       279,240  35.7% 56.2%  -13.7% -20.4% -6.8% 484,048 497,147

2020                 244,833      343,643  40.5% 56.9%

Nebraska*       284,494       495,961  33.7% 58.7%  -21.8% -25.0% -3.3% 794,379 844,227

2020                 371,921      553,793   39.3% 58.6%

N. Jersey*    2,148,278   1,601,933  55.5% 41.4%  17.8% 14.1% -3.7% 3,640,292 3,874,046

2020  (94%) 2,419,324   1,759,713   57.2% 41.6%

New Mexico* 385,234.    319,666.   48.3% 40.0%  10.1% 8.2% -1.9% 783,758 798,318

 2020              499,782      401,361     54.3% 43.5%  901143

New York*  4,547,218   2,814,346  59.0% 36.5%  28.2% 22.5% -5.7% 7,072,083 7,710,126

2020 (81%)  3,804,597   2,890,532  56.1% 42.6%

North Dakota* 93,758       216,794  27.2% 63.0%  -19.6% -35.7% -16.1% 322,932 344,360

2020                114,902      235,595  31.9% 65.5%

Oklahoma*   420,375      949,136 28.9% 65.3%  -33.5% -36.4% -2.8% 1,334,872 1,452,992

2020              503,289     1,018,870 32.3%  65.4%

Oregon*     1,002,106.       782,403. 50.1% 39.1%  12.1% 11.0% -1.1% 1,789,270 2,001,336

2020            1,329,567       949,646   56.9% 40.6%

Rhode Island* 252,525      180,543  54.4% 38.9%  27.5% 15.5% -11.9% 446,049 464,144

2020                306,192       199,830  59.6% 38.9%

 S. Carolina* 855,373 1,155,389 40.7% 54.9% -10.5% -14.3% -3.8% 1,964,118 2,103,027

2020                 1,091,348 1,384,852   43,4% 55.1%

South Dakota*   117,458    227,721 31.7% 61.5%  -18.0% -29.8% -11.8% 363,815 370,093

2020    (94%)       150,467    261,035 35.6% 61.8%

Tennessee*     870,695  1,522,925 34.7% 60.7% -20.4% -26.0% -5.6% 2,458,577 2,508,027

2020                  1,139,666  1,849,211 37.4% 60.7%

Texas*            3,877,868  4,685,047  43.2% 52.2%  -15.8% -9.0% 6.8% 7,993,851 8,969,226

2020                  5,236,610  5,874,547  46.5% 52.1%

Utah*        310,676 515,231 27.5% 45.5% 27.0% -48.0% -18.1% 30% 1,017,40 1,131,430

2020                     555,694      852.677 37.8%  58%

Vermont*       178,573     95,369 56.7% 30.3% 13.1% 35.6% 26.4% -9.2% 299,290 315,067

2020                   242,805       112,688 66.4% 30.8%

Virginia*     1,981,473 1,769,443 49.8% 44.4% 5.8% 3.9% 5.3% 1.5% 3,854,489 3,982,752

2020                   2,404,510   1,961,126 54.3% 44.3%

Washington* 1,742,718 1,221,747 51.8% 36.3% 14.9% 15.5% 0.6% 3,125,516 3,365,644

2020                    3,359,319   1,574,498 58.4%  39%    

West Virginia* 188,794 489,371 26.5% 68.6% -26.8% -42.2% -15.4% 670,438 713,051

2020                       235,657     544,826  29.7% 68.6%

Wyoming*      55,973  174,419 21.9% 68.2% -40.8% -46.3% -5.5% 249,061 255,849

2020                         73,491     193,559 26.7% 70.4%

Vote fraud in Pa Dutch Country? You got to be kidding! A Limerick.

The vote in the land of the Dutch

had never amounted to much.

But the times sure have changed

now the votes are arranged

with more votes than sought: Fraudsters’ touch.

Before the English writer Rudyard Kipling in 1910 wrote the book “Rewards and Fairies,” he toured all over the United States. He spent time in Philadelphia and Lancaster, Pennsylvania. In “Brother Square-Toes,” a story in “Rewards and Fairies,” Kipling says this about Lancaster:

“It’s a kindly, softly country there, back of Philadelphia among the German towns, Lancaster way. Little houses and bursting big barns, fat cattle, fat women, and all as peaceful as Heaven might be if they farmed there.”

That was 1910. Lancaster Co teems with Amish and Mennonites. They stayed away from the evil ways of the English, shunned modernization, hated wars and immorality, and they didn’t vote. After Bill Clinton became President this all changed, and they started voting, pro-life.

This year there was a record participation in voting, even in Mail-in requests.

Someone took a screen-shot of the tally so far:

Mail-in ballot requests: 108,539

Ballots returned so far: 89,681

Mai-in Ballots counted so far: 142, 584.

Make of that what you will.

 

Voter fraud in California? Yes, millions of non-citizens with driver’s Licenses voted!

After the 2016 election Judicial Watch made an investigation of the California election. The Federal Government maintains a list of its citizens, the state governments don’t. Judicial watch made an investigation of the registered voters and found that eleven counties had more voters registered than the number of eligible voters. Here is a list of them:

County           Vote            Vote       % eligible  Clinton/
—————— Clinton      Trump   registered  Trump
Los Angeles 1,893,770    620,285   144            3.05
San Diego        567,243    386,807   138           1.47
San Francisco 312,445      34,493   114           9.06
San Mateo       192,035      47,627   111           4.03
Solano                94,622      48,712   111           1.94
Yolo                    34,460      13,178   110            2.61
Santa Cruz        85,185      20,158   109            4.23
Monterey          64,733      26,378   104            2.45
Stanislaus         73,939      72,960   102            1.01
Imperial            23,887        9,318   102            2.56
Lassen                 2,224        7,574   102            0.29
11 Co. Total  3,344,543  1,287,490                    2.60

Rest of Calif 2,514,062   1,391,229                   1.81
All Calif.       5,858,605  2,678,719                    2.19

This compilation is remarkable in so many ways.

California has 3.4 million resident aliens (green card holders and special visas). They are not eligible to vote. They also have about 3 million illegal aliens (obviously not eligible to vote)

California has motor voter registration. They issue driver’s licenses to, not only resident aliens but also to illegal aliens. All they have to do to be registered to vote is to check a box indicating they are eligible. No check for its validity is performed.

Los Angeles County is the capital of illegal aliens, so it comes as no surprise that since they now have driver’s licenses and thereby by extension are made eligible to vote, the ratio of 1.44 between registered voters and lawfully eligible voters comes as no surprise.

Silicon valley has more resident aliens than other areas of California, so it is no surprise they have registered voters exceeding eligible voters.

There is one small county located way up in North East California, Lassen County which voted heavily for Trump. It has only two major employers, two state prisons and one federal prison. Could Lassen County have registered ineligible felons?

This calls for a thorough investigation if the integrity of voting means anything.

The link to the letter from Judicial watch to CA, http://www.judicialwatch.org/document-archive/nvra-letter-ca-august-2017/

As far as I know nothing was done to remedy the situation.

California is no longer a growing state. The population may even be declining in 2020. See this chart:

So we would then expect the numbers for the 2020 election to be about the same

County 2020 Vote   020 Vote Increase  Increase
—————— Biden      Trump       Biden     Trump

Los Angeles 2,609,329  984,383   37.8%       58.7%
San Diego        933,468  577,573   64.6%       49.3%
San Francisco 373,186   55,347    19.4%       60.5%
San Mateo       225,185    54,456    17.2%       14.3%
Solano              124,752    65,558    31,8%       34.6%
Yolo                    47,504     16,128    36,7%       22,4%
Santa Cruz       109,745    25,485    28.8%       26.4%

Monterey           93,874   34,893    45.0%         32.3%

Stanislaus          84,668    79,622   16.1%           8.1%
Imperial             34,430    20,577    44.1%      120.8%   
Lassen                   2,772      8,798    24.6%        16.2%

One more county is of interest, Orange Co. It used to be solidly Republican

2020                 792,966     655,811 Total: 1,448,777 Advantage Biden   20.9%

2016                 556,544    472,669  Total: 1,029,213 Advantage Clinton 17.8%

2012                457,077     541,092  Total:    998,169 Advantage Romney 18.4%

2008                518,925     557,370  Total: 1,076,295 Advantage McCain 7.4%

 

 

 

Two Statistical Curiosities That Allowed Biden To Pull Ahead In PA: A Limerick and more.

The votes that was tallied in Philly

were not added up willy-nilly.

For the fraud is state-wide

leaving no place to hide.

It’s treason; deny it is silly.

Two Statistical Curiosities That Allowed Biden To Pull Ahead In PA:

A brief note. I’ve been asked to examine the Pennsylvania votes. That work is ongoing. Update See below for a serious critique of Benford’s law.

I’m showing here (with permission) the one analysis I found most curious.

This is official county-level timed voting data that started at 2020-11-04 11:00:00, a day after the election, to 2020-11-07 11:29:00 which is Saturday night. That is, these are all late vote counts. They start, county by county, where the vote left off on election night.

This is a picture of the running totals by the time the votes were added, summed across all counties, during those time periods. They do not start at 0, but at the totals given after election night.

The early gains for Biden are from, mainly, Philadelphia, Allegheny, Montgomery, Chester and Berks counties. A simple plot

shows the size of vote additions for both candidates, when new vote totals (greater than 0) were added by county (and not all counties added votes after election day).

All goes well for Trump until 2020-11-04 21:15:00 when he loses just under 10,000 votes, but curiously from three different counties simultaneously: -1,063 Allegheny; -2,972 Bucks; -7,135 Chester. Biden never lost any votes (at least, in this late voting).

Understand that this does not mean the decreases happened at this time, but that they were recorded in the official data as happening at that time. And the same is true for our next observation.

Biden’s next curiosity was the big increase of 27,396 votes at 2020-11-06 08:53:00 over one consecutive reporting period. This bump is just like the blue-red F-memes you have seen: this only seems more spread out because of the finer time scale used.

These two curiosities account for a 37,263 vote swing for Biden. Biden’s total, as of the end of this data, was 3,344,528, and Trump’s 3,310,326. Biden therefore “won”, in this dataset anyway, by 34,202 votes.

Biden could not have pulled ahead without the curiosities noted above.

There is more to come. Stick around.

Update Benford’s law is only useful in uncovering multiple and on-going instances of cheating. As in somebody consistently cooking financial books. As I showed above, assuming the curiosities are cheats, it only took two instances to tip the balance. Benford’s law will never pick this up: never.

I’m skeptical of what I’m seeing in other analyses, because if somebody turns something up with Benford, it implies that many, many vote totals were tampered with, which increases the possibilities of getting caught. And you don’t need to tamper with many. Only a few.