Thanks for taking the time to reply point-by-point. Agree the four steps you indicate are not that crazy. Note they no longer mention ratio transfers, seizing, releasing, totients, or wheels, nor do they require hours of mind-numbing video explanation.

What likely happened is probably not too far from this, and can be stated even more easily: 1. Calculate the number of fake Biden votes needed to steal the state 2. Add to Biden and/or subtract from Trump the desired numbers distributed proportionally to selected precincts 3. Send a one-time note to inside contacts to make sure paper ballots and their images match the adjusted numbers.

Simple addition, subtraction, and basic fractions are all that is needed, no coprime numbers, Euler's Totient function, or wheels. Apply Occam's razor to both the algo and logistics.

Please also remember the Edison time series data are approximate counts due to the 3-decimal rounding in the way candidate fractions were reported. This fact alone shows there is nothing mathematically exact here--the counts he uses are not even the true ones. I was actually the one who provided the raw time series data to Solomon for Philly and have had several exchanges with him.

You appear to be avoiding probabilities, as does Solomon, but in the end please realize there must be an appeal to them along with recognition of the stochastic nature of the counting process, unique to each location. Fulton and Philadelphia counties were both counted in large collective areas, facilitating fraud as in the three steps above. Comparing to Iowa 2016 is quite a stretch and carries little force given massive changes in procedures due to covid and mailin.

Any claim of rarity must probabilistically refer to some kind of reference distribution for what is considered to be normal. In Solomon's case this appears to be a uniform distribution over ratios with small numerators. However the true reference distribution is far from uniform given the way the counting is done and reported in time.

Great to hear of your coding effort and will look forward to seeing it. Happy to make a friendly wager that what Solomon described is not what we will find if we can ever get our hands on the Dominion source code. Godspeed to Matt Braynard's Look Ahead America to remove black box machines and make all code open source. Your code could potentially contribute to that initiative.

Thanks for taking the time to reply point-by-point. Agree the four steps you indicate are not that crazy. Note they no longer mention ratio transfers, seizing, releasing, totients, or wheels, nor do they require hours of mind-numbing video explanation.

What likely happened is probably not too far from this, and can be stated even more easily: 1. Calculate the number of fake Biden votes needed to steal the state 2. Add to Biden and/or subtract from Trump the desired numbers distributed proportionally to selected precincts 3. Send a one-time note to inside contacts to make sure paper ballots and their images match the adjusted numbers.

Simple addition, subtraction, and basic fractions are all that is needed, no coprime numbers, Euler's Totient function, or wheels. Apply Occam's razor to both the algo and logistics.

Please also remember the Edison time series data are approximate counts due to the 3-decimal rounding in the way candidate fractions were reported. This fact alone shows there is nothing mathematically exact here--the counts he uses are not even the true ones. I was actually the one who provided the raw time series data to Solomon for Philly and have had several exchanges with him.

You appear to be avoiding probabilities, as does Solomon, but in the end please realize there must be an appeal to them along with recognition of the stochastic nature of the counting process, unique to each location. Fulton and Philadelphia counties were both counted in large collective areas, facilitating fraud as in the three steps above. Comparing to Iowa 2016 is quite a stretch and carries little force given massive changes in procedures due to covid and mailin.

Any claim of rarity must probabilistically refer to some kind of reference distribution for what is considered to be normal. In Solomon's case this appears to be a uniform distribution over ratios with small numerators. However the true reference distribution is far from uniform given the way the counting is done.

Great to hear of your coding effort and will look forward to seeing it. Happy to make a friendly wager that what Solomon described is not what we will find if we can ever get our hands on the Dominion source code. Godspeed to Matt Braynard's Look Ahead America to remove black box machines and make all code open source. Your code could potentially contribute to that initiative.

Thanks for taking the time to reply point-by-point. Agree the four steps you indicate are not that crazy. Note they no longer mention ratio transfers, seizing, releasing, totients, or wheels, nor do they require hours of mind-numbing video explanation.

What likely happened is probably not too far from this, and can be stated even more easily: 1. Calculate the number of fake Biden votes needed to steal the state 2. Add to Biden and/or subtract from Trump the desired numbers distributed proportionally to selected precincts 3. Send a one-time note to inside contacts to make sure paper ballots and their images match the adjusted numbers.

Simple addition, subtraction, and basic fractions are all that is needed, no coprime numbers, Euler's Totient function, or wheels. Apply Occam's razor to both the algo and logistics.

Please also remember the Edison time series data are approximate counts due to the 3-decimal rounding in the way candidate fractions were reported. This fact alone shows there is nothing mathematically exact here--the counts he uses are not even the true ones. I was actually the one who provided the raw time series data to Solomon for Philly and have had several exchanges with him.

You appear to be avoiding probabilities, as does Solomon, but in the end please realize there must be an appeal to them along with recognition of the stochastic nature of the counting process, unique to each location. Fulton County and Philadelphia counties were both counted in large collective areas, facilitating fraud as in the three steps above. Comparing to Iowa 2016 is quite a stretch and carries little force given massive changes in procedures due to covid and mailin.

Any claim of rarity must probabilistically refer to some kind of reference distribution for what is considered to be normal. In Solomon's case this appears to be a uniform distribution over ratios with small numerators. However the true reference distribution is far from uniform given the way the counting is done.

Great to hear of your coding effort and will look forward to seeing it. Happy to make a friendly wager that what Solomon described is not what we will find if we can ever get our hands on the Dominion source code. Godspeed to Matt Braynard's Look Ahead America to remove black box machines and make all code open source. Your code could potentially contribute to that initiative.