Posted on 12/19/2020 9:12:41 AM PST by Son House
At minimum, three Mathematicians separately have
researched the data. Linked here are videos and
comments. I have indexed some videos. You will also
find data sets and spreadsheets. Also contained in
the links are some linked directions to do data analysis.
Michigan: The Polynomic Sledgehammer (no wheel!); a minimum
of 287,980 stolen from Trump past midnight on November 4th.
Remember that giant spike!
https://thedonald.win/p/11R4q2aHf3/michigan-the-polynomic-sledgeham/
Conclusion of Regression Analysis, The Polynomic ledgehammer
Dr. Shiva is vindicated.
The total sum of votes stolen from President Donald J.
Trump, by this algorithm, hitherto named the Polynomic
Sledgehammer, is: 287,980 votes; bear in mind that Trump
lost the state by 154,188 votes.
The data above, with in excess of 99% R^2 values for degree
ten (Decic Regression), with catastrophic failures on
degrees 12, in all cases, and often on degree 11, with
degree ten always having the highest R^2 value of all the
prior degrees, is proof of algorithmic manipulation of the
election results in the State of Michigan.
https://docs.google.com/document/d/1UxxiGqcozWIE6w877yTByQPKO3QDU07HcxBc-Eglzso/edit?usp=sharing
Spreadsheet links (yes they are safe, ignore the warning).
https://gofile.io/d/0tjG28
https://gofile.io/d/2Yu5VZ
Michigan; The Polynomic Sledgehammer
https://youtu.be/-pgXdGR_-qY
Streamed live 12 hours ago
Mathmatician explains that a ratio transfer algorithm picks the county and a precinct that he can easily find in given set of data.
BIG EVIDENCE of External Control (via software) Capping the
Maximum possible Votes Cast in Trump Strong Counties
https://thedonald.win/p/11R4ggQOmZ/big-evidence-of-external-control/
This is clearly seen in some of the small counties data that
almost always vote for heavily for President Trump.
This ‘Capping’, however, did NOT occur in many Biden
stronghold Counties such as Wayne County. Obviously, it
seems real proof of a large, coordinated VOTER FRAUD scheme.
The Ratio Transfers in PA and GA.
https://thedonald.win/p/11R4XKC6Fs/someone-needs-to-spam-sindey-pow/
Everything.
https://drive.google.com/file/d/1es0uSqp_AmuvicH-R1me-PIIRjKeSNJ2/view?usp=sharing
https://drive.google.com/file/d/1-j3msC3EQ0-dxpbN2lsKQm_SoaRrvXSo/view?usp=sharing
Herein this list are all the precincts in city of Atlanta Georgia involved in these ratio transfers:
https://docs.google.com/spreadsheets/d/1jsuRxh183jOKTJbO5dbEM6QwLwnQsPG5MknfcIuNJBM/edit?usp=sharing
Found 2 more proofs at this link and a comment on the
obvious progression, what I consider the underestimated magnitude.
https://thedonald.win/p/11R4XKC6Fs/someone-needs-to-spam-sindey-pow/
“All the coders, hackers, IT professionals in my channel chat
understood everything and even simplified half of my scripts
and column formulas. I’m pretty sure they all know how to do
it faster than I can now.”
More information
https://thedonald.win/p/11R4SWiTbg/pennslyvania-saved-more-informat/
A minimum of 124,000 votes were stolen from Trump in four counties in PA.
A few noteworthy comments from that link;
a difference of 124,649 votes, that I claim hereby claim,
were stolen from President Donald J. Trump, in these four
counties alone of Allegheny, Chester, Montgomery and Philadelphia.
Furthermore, I do not claim, but I do suspect, based on
“Second Tensor Analysis,” (explained in the detailed report
below), that the entirety of the State of Pennsylvania was
seized by this algorithm, since the Second Tensor contained a “Wheel Number,”
...although let it be noted that the Republican counties of
Greene, Cambria and Washington, showed suspicious activity
of ratio transfers in a prior investigation.
Video: Ratio Transfers Proved; Entire Algorithm Reversed
https://rumble.com/vblspz-smoking-gun-part-2-ratio-transfers-proved-entire-algorithm-reversed-net-200.html
Quote
“10: That the fraud is proven by the fact that all hijacked
precincts in their final states can be filled with the same
number of votes per precincts, and it equals the same flip
of trump to total (confirming a live algorithm was balancing
the zero point average from a blank template using equal
weight on each precinct).”
End quote
Here’s an index;
8:00m, 22:00m, 27:00, watch
for about 3 to 4 minutes to get the big ideas,
42:00m Summarizes how the algorithm works
66:00m Real Evidence about 6 to 8 minutes long
88:30m Reverse engineering the wheel
105:00m Well balanced wheel
106:00m More evidence of fraud as the wheel folds in like a fan
134:30m The tree re-balancing may be related to the roll back of votes counts seen
139:00m Summation formula of splitting the load between precincts
140:00 The wheel number
Video linked here: A index for this proof Minnesota 2% strategy;
https://freerepublic.com/focus/chat/3914280/posts?page=1502#1502
1:45 “the third party votes were coming in at higher than 2%
so what they did is they knocked 645 votes off the third
party candidates which is roughly a 5% or 4.8% change” now I
don’t know what happened to those votes but I do know they
are no longer counted for the third party, and it like
they’re basically gone.”
3:15 “the vote total had gotten so fast, it went from 2.1 to
2.9% which is a huge jump, so what you’ll see is the cheating
algorithm essentially we hit 3% and it had a major
correction, brought it right back down to 2.1% again, and
what that did is they stole 13,500 votes from the third
party candidate and that dropped the percentage like they
stole 30%, and that almost a third of what was going to the
third party at that time, just gone.”
3:45 “their strategy here was to keep those votes,that go to
the third party at 2.1%”
7:45 “Because there are votes taken from all three
candidates it creates an air of mystery, and so it can’t be
proven either way and this is the smokescreen that they’re
running in order to not be easily detected.”
7:58 “the strategy that they went with is the third party
candidates votes were not allowed to get more that 2.1% and
votes were consistently stolen from the third party.”
Came across this quote too;
Salomon “I found a solution to an inverse floor function to a
tremendous set of data (the flagged data), a solution that
cannot exist for natural data. I re-balanced the wheel with
that solution. It’s Fraud.”
Spreadsheet linked here
that may help, if I don’t respond after this, either me or my computer crashed;
https://twitter.com/KingSolomon006/status/1330418259137585153
Video: 4th mathematician explains:
A key point is how unlikely it is for several districts under
investigation to get EXACTLY the same vote ratio
https://twitter.com/profnfenton/status/1335360337982476295
Video: Simulation, Fraction Magic: Integer Ratio Transfers
https://rumble.com/vbe60t-live-simulation-fraction-magic-integer-ratio-transfers-via-virtual-precinct.html
“Simulation of hypothesized Vote Transfer observations of election data.
Trimming only optimizes visual focus of the material, does not affect content.”
Video: Piton explains finding what he calls a Phantom voter that is shuffled where needed.
Real important after understanding high frequency stock trading and -14:00m
Updates on Voter Fraud in Pennsylvania
https://twitter.com/Annakhait/status/1339981446061191181
Timestamps easier in reverse starting total about 50 minutes
-21:25 results created with U-Voters and swap
-17:25 Re-explain U-Voter and Phantom Voter 5 ways to cheat
-15:15m Data Set for the whole country
-14:00 Why those updates occurred sending odds tables to the machine
-13:20 Reason why they had to stop the count during
election, they didn’t know where they were at with how many fillers they needed.
-13:10 It threw off all their probability tables
-11:30m because they bullied Trump supporters so much, they
couldn’t calibrate the odds properly
-9:25 Example
-8:28m They modify the voting record of people quickly
-8:13m There is a digital paper trail, they won’t release it
-6:60m Data set for the entire nation
Video: Recent Piton interview;
https://twitter.com/JovanHPulitzer/status/1339357837743558656
intro
8:30m Piton explains when he started this
14:00m When he figured out what was happening, slight changes
15:50m I’ve identified ways, we won’t get into those
19:50m Real Example
23:00m Classification of voters represented by precinct
25:50 Then replicated in Pennsylvania
26:40m Finding 20 to 30 percent Phantom Voters Found 539 of 1000m didn’t exist
30:50m Pennsylvania
32:00m Addresses that aren’t there
https://twitter.com/BobbyPiton3/status/1338212271361839105
“The number of Phantom Sleeper Voters is up to a minimum of
267,067 with only about 44 counties in PA complete. I will
pause to create the next set of age statistics as the
evidence is overwhelming they exist across every county that
I have examined in PA so far.”
More information tomorrow.
https://twitter.com/BobbyPiton3/status/1338297485501079553
“Time to write up findings for Congressional Candidate that
had the election wrongfully taken from them. The Data is overwhelming.”
Piton’s comments;
https://twitter.com/BobbyPiton3/status/1338095162426265603
“Updated last night about AZ by Liz Harris MBA
regarding the 95K names I identified and sent her about
Phantom Sleeper Voters. Out of 2,000 knocks and 1,000
responses 539 were found to be ghosts. They didn’t exist”
Dec 10, 2020
https://twitter.com/BobbyPiton3/status/1337018468718272512
“someone close to our @POTUS reach out to me last night to
discuss all of my findings. I spoke just over 22 minutes.
Same amount of time as testimony in AZ. I will be getting
them information to explain how it was perpetrated.”
More comments;
https://twitter.com/BobbyPiton3/status/1337366503168020480
“The scam is to send in a #phantomvoter to kill a real
persons vote and place their vote in it’s place. Then wipe
record clean of #PhantomSleeperVoters to cover tracks.
People give up looking because fraudulent vote transferred
to real person. When someone checks the file they think all
is ok and ignore #PhantomSleeperVoters because they wipe that one out.
Prove this via time stamps of record modifications. In #PA
Congressional Race over 40% of 520,000+ voter file or over
200,000 voting Files had records modified.”
Phantom Sleeper Voters
being injected into the count
https://twitter.com/BobbyPiton3/status/1336323965493465093
Quote
“I have figured out an algorithm of how #PhantomSleeperVoters
are created in the data.
Based on results in AZ and soon... other States...
this will be proved out across US!”
Shiva explains it that decimal use denies “One Person, One Vote.”.
https://twitter.com/va_shiva/status/1339231979418628096
FIRST VICTORY in U.S. for #ElectionFraud lawsuit!
Federal Judge DENIES MA Sec. of State Galvin’s Motion to
Dismiss my Lawsuit that exposes computer algorithms were
used to steal votes in my U.S. Senate Election that
denies “One Person, One Vote.” Case is ON! Dr Shiva.
Video at link.
https://twitter.com/va_shiva/status/1338250892110426113
In 1st one, BIG VICTORY. Judge ordered MA Sec. of
State stop contacting Twitter & having me banned
for exposing MA uses algorithms & deletes Ballot Images.
In 2nd asking hand-count of paper ballots in my US Senate run.
Dr Shiva speech in 3 parts on steps of Supreme Court
Dec 12, 2020
https://twitter.com/i/status/1337899173602004996
Dr Shiva’s case;
https://twitter.com/va_shiva/status/1337549060853665793
Although SCOTUS minutes ago rejected TEXAS complaint, People
of America still have my lawsuit in MA, which remains the ONLY
complaint focusing on the REAL CRIME SCENE of #ElectionFraud:
COMPUTER ALGORITHMS that flip votes to deny you “ONE PERSON, ONE VOTE.”
Video: Interview, election part starts at 7:15m;
Dr Shiva Affirmed on the Dominion Algorithm Switch
https://twitter.com/DavidJHarrisJr/status/1337185353946447872
Adding in definitions to help understand how Exchange Traded Funds
are traded. Think of when they stopped counting the votes, “instant
loss of liquidity”, that means you have nothing to trade and must stop trading.
Basics of Algorithmic Trading
https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp
Trades are timed correctly and instantly to avoid significant price changes.
Algorithmic Trading
https://www.investopedia.com/terms/a/algorithmictrading.asp
Another disadvantage of algorithmic trades is that liquidity, which
is created through rapid buy and sell orders, can disappear in a
moment, eliminating the change for traders to profit off price
changes. It can also lead to instant loss of liquidity.
Look up definition of ETF (Exchange Traded Funds)
https://twitter.com/BobbyPiton3/status/1341315842814963712
“A key reason why it is has been so difficult to catch this fraud Is
entire subclasses of Actual Legal Voters get deployed digitally
behind the scenes into counties where they are “needed to flip votes”.
Manufactured in heavy dominant one party controlled counties,
deployed into counties they aren’t strong in.
The Phantom Sleeper Voters stay in the areas they are strong (less
likely to be investigated) while these Actual Legal Voters flow
across County Lines in a State to assassinate the opposing Legal Voters.
It took me over 30 hours in past 2 days to figure this out and have
sufficient preliminary evidence to prove It Mathematically! Possibly my best work yet!”
See how that correlates with another Mathematician’s
comments on moving voters between counties.
BIG EVIDENCE of External Control (via software) Capping the
Maximum possible Votes Cast in Trump Strong Counties
https://thedonald.win/p/11R4ggQOmZ/big-evidence-of-external-control/
“This is clearly seen in some of the small counties data that
almost always vote for heavily for President Trump.
This ‘Capping’, however, did NOT occur in many Biden
stronghold Counties such as Wayne County. Obviously, it
seems real proof of a large, coordinated VOTER FRAUD scheme.”
Thanks for this most excellent thread!
7
Bobby is on another tear
The Honorable @POTUS @realDonaldTrump
I have some absolutely Stunning News to report regarding PA. I examined just over 9,008,753 records and have identified 521,879 unique Last Names. 245,033 or just under 47% of the total Last Names in PA only belong to 1 and only 1 person!
https://twitter.com/BobbyPiton3/status/1342996474972540928?s=19
7
Yes, saw this response too;
Kraken se Deutch?
https://twitter.com/HelluvaFella1/status/1343032590618517505
The software SHOULD reject subsequent votes by the same VoterID number. This feature was
disabled as PA counted more than 400k ballots than they mailed.
Video 2hr 20m The Mathematics Explained, Several Links Included
The Wheel Of Michigan! Net total over 280,000 votes stolen from Trump!
https://thedonald.win/p/11RNtTOMxZ/smoking-gun-3-behold-the-wheel-o/
Video here
https://rumble.com/vc7wxd-smoking-gun-3-behold-the-wheel-of-michigan.-net-total-over-280000-votes-sto.html
Video here
https://www.bitchute.com/video/0OnAWJSEZGWa/
Oakland County: Trump suffers a net loss of 112,044 votes. Kent County: Trump
suffers a net loss of 44,053 vote (in agreement with Dr. Shiva).
Kalamazoo County: Trump suffers a net loss of 15,910 votes. Ingham County:
Unknown, since no prior timestamp contains a higher percentage for Trump than
the first timestamp. Access to the tabulation tapes will be required:
Saginaw County: 10,286 votes minimum. Several precincts in Saginaw have no
timestamp prior to their first timestamp with a higher percentage for Trump.
Access to the tabulation tapes will be required.
Macomb County: Trump suffers a net loss of 70,944 votes.
The City of Detroit: Trump suffers a minimal loss of 225 votes; however, the
distribution of Detroit’s ratios show that a different algorithm was used,
using Random Number Generation to generate Trump’s initial starting state.
All remaining counties in the analysis: Trump suffers a net loss of 34,518 votes.
Another good one, suggest doing a file - save page as
Analysis of 2020 Presidential Election vote count reporting anomalies
https://sites.google.com/view/2020prezelectionvotecounts/home
Introduction
Vote counting irregularities in visible counts
Trump to Biden Vote Switches
Vote Losses
Spurious Vote Additions
Per precinct vote count and visible vote count mismatches
Exhibit 1: Front Loading of Votes in Election Data feed in Pennsylvania
Exhibit 2: Switching of votes in Pennsylvania in Election data feed with no change in Precinct votes
Exhibit 3: Divergence Between Election Data feed And Precinct Vote Counts in Michigan
Exhibit 4: Precinct Vote Count Purges in Michigan
Exhibit 5: Votes lost from Election Data Feed in Georgia to match Precinct vote percentages
Vote count tracker based on NYT Votes Remaining Page
Pennsylvania
Arizona
Georgia
Conclusion
Conclusion
As demonstrated above there is evidence beyond reasonable doubt of illegal
vote count manipulation by vote counting/reporting software used in
multiple states, indicative of systemic issues in this election. The data
shows that upwards of a million votes were thrown out or switched in
Pennsylvania and several thousand in the other states.
Also, as shown in the previous section there is smoking gun evidence of
stealing write-in votes and infusion of fake absentee vote counts by Scytl
and Dominion reporting software. A full audit and hand recount of all legal
ballots cast in the affected states should be done, to ensure that legal
voters are not disenfranchised.
Hopefully, law enforcement agencies will further investigate these
irregularities and the voting machines and software that facilitated this
fraud and the companies that developed them will be banned from further participation in any other election.
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