Maricopa County Caught Red Handed

Maricopa County had a blank checkbook for casting absentee votes - and used it

 

Vote Dumps -- Caught Red-Handed

Arizona's 2020 election laws allowed all 15 counties to begin tabulating early votes two weeks prior to election day, thus the election night count started with two massive vote dumps of 625K and 1.47M right after the polls closed.   

Those dumps, totaling 2,098,619 votes came from Maricopa County because no other county had more than 527K votes (i.e., Pima at 526,319).   The official results canvass reveals that Maricopa cast only 2,089,563 votes  -- therefore the two dumps contained 9,000 more votes than possible -- for the entire election in Maricopa.   The source of the data table is Edison Research.

Worse yet, Biden’s total from the two dumps is 1.16 million - about 120K votes greater than reported for him in the FINAL results. 

When you consider that Election Day votes plus late arriving absentee votes had not yet been tabulated, the amount of fraudulent ballots in those dumps is a considerable number. 

How big?

The exact number of in-person votes cast in Maricopa County on Election Day is unknown (another audit problem), however, multiple sources reported 167K voters cast ballots at the polls.   If that is true, then the fraudulent ballot count for Maricopa County is at 296K votes (120K from first two dumps + 167K election day + original 9K early over) and counting.

The Navarro Report, Volume III estimated illegal votes at 254,772 across the state.  That total is obviously low.

Is it any wonder that the Arizona Secretary of State, Katie Hobbs, and the Democratic party operatives are in a frenzy over the ongoing audit --  and doing all they can do to stop it?

The reasons why WIMP votes get stolen

The 2020 steal of Write-In and Minor Party (WIMP) votes reminds me of kids who steal money from a change jar.  Typically, the kids screw up by taking all the quarters and leaving behind just nickels, dimes, and pennies.  The parent or change jar owner is oblivious of the theft until they pick up the jar and notice that it is too light.  After which,  they dump the jar and see all the quarters are missing -- and the theft is confirmed.

In the 2020 election, the (unspecified) vote thieves made the same mistake.  

All that was left in the in the WIMP vote jar was nickels, dimes, and pennies (i.e., an incredibly low number of votes).

So, why are WIMP votes targeted for theft?

Millions of WIMP Votes Shifted Nationwide

Did shifted WIMP (Write-In & Minor Party) votes make Biden more "popular" than Clinton?

Back in 2016, then candidate Hillary Clinton got almost 3 million more popular votes than the Electoral College winner, Donald Trump.   

In 2020, Trump gained more popular votes as a sitting president than any of his predecessors.  Trump also received the highest percentage of non-white votes than any GOP candidate since Richard Nixon in 1960.  

Despite those statistics, Trump (allegedly) still lost to Biden by a little over 7 million votes.   

Or did he? 

Wisconsin's WIMP problem

Wisconsin's WIMP votes declined by 132K from 2016 to 2020

Wisconsin had a WIMP problem in the 2020 election. 

WIMP is an acronym for Write-In and Minor Party.   The graphic above shows that WIMP votes declined by 132,307 votes from 2016 to 2020.     Similar declines have been found in other key battleground states -- for example:

Arizona:                Minor Party:  -106,100;  Write-In:  -51,238  

Georgia:               Minor Party:    -83,192:  Write-In:  -20,155

Pennsylvania:       Minor Party:  -180,752:  Write-In: -113,417

Are all of these declines a coincidence?  Did  minor party and other voters decide to acquiesce and vote for a major party candidate?  Or do these declines represent this a systemic issue in our US elections/voting systems?

Evidence suggests the latter.

In each of the states listed above, the decline in Write-In votes was greater than Biden's margins of victory.

Mail-In Ballot Math Doesn't Add Up for Biden

According to Pennsylvania's certified election results, Joe Biden received 1,995,691 mail-in votes in the 2020 election.  Those votes erased President Trump's Election Day lead and eventually won him the Keystone State by 80,555 votes.   

While the votes were counted that way, it is unlikely they were cast that way.  

Contrary to Popular Belief, Trump Grew Support for GOP

Contrary to popular belief: The GOP gained support under Trump

Anecdote:  Trump would have won the 2020 election if he hadn't turned off so many Republican voters.  

The above anecdote was pushed by the media and many people believe(d) it because they know of a person or persons who voted for Trump in 2016 and didn't do so in 2020.   Anecdotal information is powerful and often has undue influence because of its personal nature -- however, it is often not reflective of reality.

As the image at the top of the page shows, more people in Pennsylvania registered Republican than registered as Democrats since 2016.   The GOP  narrowed the registration gap by 200,000 over the last four years, with a net of gain of nearly 134K voters coming by virtue of Democrats who were moving to Republican in droves (D to R, third column).   Conversely, the movement of Republicans to Democrat (R to D, second column) was under half the size of the Democratic migration. 

NIC & DOJ Reports on Election Are Smokescreens

 

Recent US government reports on foreign interference in the 2020 election are not only erroneous, but attempt to throw up a smoke screen to shield the public from knowing what these agencies don't know.

The ignorance of the United States Intelligence Community (IC) agencies, as well as the Department of Justice (DOJ) the Federal Bureau of Investigation (FBI), and the Department of Homeland Security is on display for the world to see. 

According to the NIC assessment (my emphasis added):

"We assess foreign cybercriminals probably did not work to interfere or influence the US elections on behalf of or at the direction of a nation state. We have low confidence in this assessment."

There it is...."probably did not...low confidence." 

On page 10, "Low Probability" is defined as:

 "the information's credibility and/or plausibility in uncertain; that the infomation (sic) if fragmented, dated, or poorly corroborated; or that the reliability of the sources is questionable."