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 2029 Vote         2020 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             37,000    17,000     56%           82%    Estimate, counting continues
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.

 

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

This is a map of the extent to which Dominion voting machines software is presently used. When votes are tallied it produces results that are not credible according to statistical science.

Joe Biden’s votes violate Benford’s Law, President Trump’s do not.

Benford’s law or the first-digit law, is used to check if a set of numbers are naturally occurring or manually fabricated. It has been applied to detect the voting frauds in Iranian 2009 election and various other applications including forensic investigations.

Benford’s Law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading digit is likely to be small. For example, in sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time. Benford’s law also makes predictions about the distribution of second digits, third digits, digit combinations, and so on.

Plots of the first digits of counts in various precincts and wards for selected counties/cities.

This is Pittsburgh.

But even cities where we know the outcome, the numbers have been manipulated such as

When this fraud is corrected the electoral map will look quite different, and may even swing a few house and senate votes.

Obama and Biden, the true Neanderthals. A Limerick.

From “The Hill”: Vice President Biden on Sep 12 2013 called House Republicans “Neanderthals” for opposing some amendments to the reauthorization of the Violence Against Women Act (VAWA).”

One of the sticking points for Republicans was an aspect of the bill that would expand access to certain visas for noncitizens who are victims of domestic violence. That portion of the law was removed from the final bill.

Obama and Biden, et al.

Is setting us up for a fall.

With the debt limit blown

And restraint no more known,

Who is then a Neanderthal?