Posted on 12/27/2020 3:26:39 PM PST by infool7
The evidence sounds interesting but who knows what is the typical number of unique names in a given population. He needs examples from comparable populations to show that what he found is highly unusual.
LOL
Why give those they might turn on a chance to Epstein them?
I was thinking a random nonsense syllable generator was used to create unique last names. For example, if you started with the syllables daf, gax, pu, and jih, you would get the two-syllable names dafgax, dafpu, dafji, gax, gaxdaf, gaxjih, pudaf, pugax, pujih.
I did a little number crunching on my own and found some pretty incredible numbers at the county level:
In 2008, Obama is credited with 69,000,000 votes and won 873 counties, 27.6% (not yet verified by me).
In 2020, Biden is credited with 81,000,000 votes and won only 552 counties, only 17.5% (verified by me).
So, Obama won 79,038 votes per county won.
Biden won 146,739 votes per county won, or 186% of the votes that Obama won (who had the novelty of being the first black to run for president).
It’s just not believable.
“Well which is it, 521,879 or 245,033?”
***************************************
I think it means there were 521,879 different last names. Of those, 245,033 surnames had only a single occurrence among the file of Pennsylvania voters and the rest of the surnames (e.g., Smith, Jones, Schmidt, Kowalski) had multiple occurrences in the database.
A funny one I saw on a Rolling Stone newspaper subscription in college..
Buster Hyman
Scan the entire record to find out all last names in the record (no duplicate names.) Among them, find out last names only belonging to one person. List all such names. They are 47% of all last names collected
Example:
Kraken: 5 people have it.
Dragon: only one person has it. Means (s)he doesn't even have parents or other relatives with the same name.
Ivan Yakinov, Buck Nekkid.
There assuredly are a relative few. It should not be hundreds of thousands of people. I have multiple friends with such mis-spelled last names, but none of them are unique, as there are others with names mis-spelled the same way. It is especially the case for more recent years.
Some of the examples will simply be mis-spelled names. That said, there would seemingly be thousands of such, maybe even low tens of thousands, but it doesn’t seem likely hundreds of thousands without even duplicating others mis-spellings.
Well which is it, 521,879 or 245,033?
So, there are a total of 521,879 last names, of which 245,033 of those last names are possessed by only one person.
It’s just a data-handling usage.
Kinda surprises me that none of this stuff is up on Kaggle as a sponsored contest.
I worked with a guy last name Moss. He had a boy and a girl and wanted to name them Mickey and Minnie, but his wife objected.
LOL. Yup. Gotta love pipelining.
I’m sorry. I can’t stop laughing. Moe Lester.
Right. The author wasn't clear at all. There were 9 million voters. Of those 9 million people, there were about 522k different last names. Of those 522k names, 245k of them only had one voter with that last name. I'd be really interested in what a census survey would show for the population as a whole. The percentages probably wouldn't be exactly the same, but should be in the ballpark.
I too think it's amazing that there were 245k unique and singleton names. Doesn't 'sound' right, but without other reference numbers, it would be hard to say exactly what it means. Sometimes when you're looking at data really weird stuff can pop out of it, that at first glance looks like a black swan, but when you look at similar data, you see that it really wasn't as weird as you thought.
I once had a friend whose married name was Wendy Butt. Her husband’s name was Harry. I kid you not!
Exactly !! Now it’s Holding exposed and they’re obviously terrified about it
This only makes sense if the PA ratios are entirely out of whack w/ those nationally. The article quotes another tweet from Piton:
“Running the correlation between Last Names in PA, 1000 Names, vs those Same Last Names in GA, you get a negative -42.38%. The reason it isn’t higher is because some of the Last Names in PA that don’t make the top 100 names in GA.”
If that’s consistent w/ the rest of the country, then here’s — more — clear evidence of fraud in PA.
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.
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