EDWARD SOLOMON: https://www.youtube.com/watch?v=JAKsntX_-IM
Polynomial Regression used to determine the starting states (counts) for Detroit in Michigan shows over 279K votes stolen by Dominion tabulation “rank choice voting” algorithms independent of analysis of the “wheel” which is used in distributing votes to achieve desired results.
SOLOMON: 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 Sledgehammer
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.
Let it be known, that natural data (in this manner) should be distributed normally, such that it has a strong linear regression, with a second derivative of zero.
Let it be known, that randomly generated computer data (random number generation between two bounds), is distributed evenly, such that it also has a strong linear regression, with a second derivative of zero.
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