I'm going to give credit to u/OGcentipede who posted about this first, but I figured this is so important it needs to get as much attention as possible.
Copying this here in case Twitter decides to erase as well (give me a sec, it's across several Twitter posts).
Around 4am there, there is a marked shift in the ratio of D to R mail-in ballots. Based on other posts in this thread, this should not happen. This is an anomaly, and while anomalies are not always fraud, often they may point to fraud.
Around 3am Wisconsin time, a fresh batch of 169k new absentee ballots arrived. They were supposed to stop accepting new ballots, but eh, whatever I guess.
By 4am the D to R ratio was all thrown out of whack. That is because these ballots were not sampled from the real Wisconsin voter population, and they were not randomized in the mail sorting system with the other ballots. They inherently have a different D to R signature...
than the rest of the ballots quite possibly bc additional ballots were added to the batch, either through backdating or ballot manufacturing or software tampering. This of this being kind of analogous to carbon-14 dating, but for ballot batch authenticity.
Here is Pennsylvania's vote counting history. For the first part of the vote counting process, we see the same pattern for mail-in ballots that we've seen in every other state in the country, which is relatively stable D to R ratio that gradually drifts R as more ballots...
come in from rural outlying areas.
But then as counting continues, the D to R ratio in mail-in ballots inexplicably begin "increasing". Again, this should not happen, and it is observed almost nowhere else in the country, because all of the ballots are randomly shuffled...
in the mail system and should be homogeneous during counting. The only exceptions to this are other suspect states that also have anomalies.
Again, this is evidence of ballot backdating, manufacturing of software tampering.
In Georgia we see pretty much the same story as Pennsylvania: increasing fractions of mail-in D ballots over time even though it defies logic and we see this pattern no where else in the country.
In Michigan, we see a combination of Wisconsin strangeness, together with the GA/PA weirdness. We see both signs of contaminated ballot dumping, and ballot ratios drifting toward dems when they should not be.
https://pbs.twimg.com/media/EmV6wKcXMAY6dzN?format=png&name=small
Now in fairness, VA is the only state out of the 50 that has anomalies but has not had accusations of voter fraud, yet. I think this is the exception that proves the rule. Yet to figure out what causes this anomalous shift, but here it is so no one accuses me of holding it back.
Lets wrap this up: It appears Dems shot themselves in the foot bc making everyone do mail-in ballots actually makes it easier to catch mail-in ballot fraud. Bc all of the ballots go through the postal system, they get shuffled like a deck of cards, so we expect reported...
ballot return to be extremely UNIFORM in terms of D vs R ratio, but to drift slightly towards R over time bc some of those ballots travel farther. This pattern proves fraud and is a verifiable timestamp of when each fraudulent action occurred.
Please disseminate as necessary. Good luck. Stay safe. Be kind to your neighbors.
HEY! this is legit the most convincing argument for widespread mail-in voter fraud I have seen yet. It even predicts VA fraud, which us pedes that followed the election all night know, but others do not.
The following information is provided via an anonymous data scientist and another anonymous individual who wrote a script to scrape the national ballot counting time series data of off the @nytimes website.
This is based on their proprietary "Edison" data source which would ordinarily be impossible to access for people outside the press.
The CSV is available here:
[link appears to have been removed]
And the script to generate it is here:
https://pastebin.com/NkYXrJEX
I suggest that everyone back up both of these files, bc this is an extremely important data source, and we cant risk anyone taking it down.
What we are looking at will be time series analysis and you will see that it is extremely difficult to create convincing synthetic times series data. By looking at the times series logs of the ballot counting process for the entire country, we can very easily spot fraud.
As we can see on this log-log plot, for many of the counting progress updates, we see an almost constant ratio of #Biden to #Trump. It's such a regular pattern that we can actually fit a linear regression model to it with near-perfect accuracy, barring some outliers.
How could this be possible? Is this a telltale sign of fraud? Surprisingly, as it will be shown, the answer is no! This is actually expected behavior. Also, we can use this weird pattern in the ballot counting to spot fraud!
and again all over the country. What appears to be happening is that points on the straight line are actually mail in votes. The reason they're so homogeneous across with respect to the ratio of #Biden vs #Trump votes is that they get randomly shuffled in the mail...
like a deck of cards. Since the ballots are randomly mixed together during transport, spanning areas occupied by multiple voting demographics, we can expect the ratio of mail-in #Biden ballots to mail-in #Trump ballots will remain relatively constant over time...
and across different reporting updates.
Lets dig a little deeper into this:
Here is a plot of the same Florida voting data, but this time it's the ratio of #Biden to #Trump ballots, versus time. What we see is that the initial ballot reportings are very noisy and "random".
The initial reporting represents in-person voting. These vote reports have such large variation bc in-person voting happens across different geographic areas that have different political alignments.
We can see this same pattern of noisy in-person voting, followed by homogeneous mail-in reporting in almost all cases.
What we see in almost all examples across the country is that the ratio of mail-in Dem to Rep ballots is very consistent across time, but with the notable drift from Dem to slightly more Rep.
This slight drift from D to R mail-ins occurs again and again, and is likely due to outlying rural areas having more R votes. These outlying areas take longer to ship their ballots to the polling centers.
Now we're getting into the really good stuff. When we see mail-in ballot counting where there isn't relatively stable ratios of D and R ballots that slightly drift R, we have an anomaly! Anomalies themselves are not necessarily fraud, but they can help us spot fraud more easily."
States don't necessarily have all their absentee ballots returned to and counted together at one place. In both GA and WI each county collected and counted their own absentee ballots and reported their own data. In WI a group of smaller counties consoidated their absentee ballot counting but otherwise, each of the counties reported their totals at different times.
Read this thread, SAVE as much of it as you can.
I'm going to give credit to u/OGcentipede who posted about this first, but I figured this is so important it needs to get as much attention as possible.
Copying this here in case Twitter decides to erase as well (give me a sec, it's across several Twitter posts).
The "GET IN HERE" Thing always makes me laugh. I love the Trump community. Now what we got here?
the best argument for widespread mail in voter fraud ive seen yet.
Yep, read this earlier. The smoking gun is that 4am is the tipping point, and it never rights itself.
it even predicts VA fraud, which no one is talking about, but those who watched the election all night know.
Now let's look at some anomalies:
This is the Wisconsin vote counting history log. Again, on the Y axis we have the ratio of D to R ballots in reporting batch, and on the X axis we have reporting time. https://pbs.twimg.com/media/EmV32k-W8AAC6aO?format=png&name=small
Around 4am there, there is a marked shift in the ratio of D to R mail-in ballots. Based on other posts in this thread, this should not happen. This is an anomaly, and while anomalies are not always fraud, often they may point to fraud.
so what happened just before 3am CST in Wisconsin? This did! https://twitter.com/i/status/1323914505638809601 [Milwaukee’s 169,000+ absentee ballots en route to county election officials]
Around 3am Wisconsin time, a fresh batch of 169k new absentee ballots arrived. They were supposed to stop accepting new ballots, but eh, whatever I guess.
By 4am the D to R ratio was all thrown out of whack. That is because these ballots were not sampled from the real Wisconsin voter population, and they were not randomized in the mail sorting system with the other ballots. They inherently have a different D to R signature...
than the rest of the ballots quite possibly bc additional ballots were added to the batch, either through backdating or ballot manufacturing or software tampering. This of this being kind of analogous to carbon-14 dating, but for ballot batch authenticity.
lets look at another anomaly:
https://pbs.twimg.com/media/EmV5d56XEAUHQeW?format=png&name=small
Here is Pennsylvania's vote counting history. For the first part of the vote counting process, we see the same pattern for mail-in ballots that we've seen in every other state in the country, which is relatively stable D to R ratio that gradually drifts R as more ballots...
come in from rural outlying areas.
But then as counting continues, the D to R ratio in mail-in ballots inexplicably begin "increasing". Again, this should not happen, and it is observed almost nowhere else in the country, because all of the ballots are randomly shuffled...
in the mail system and should be homogeneous during counting. The only exceptions to this are other suspect states that also have anomalies. Again, this is evidence of ballot backdating, manufacturing of software tampering.
Lets look at another anomaly: https://pbs.twimg.com/media/EmV6X34XEAA20Ze?format=png&name=small
In Georgia we see pretty much the same story as Pennsylvania: increasing fractions of mail-in D ballots over time even though it defies logic and we see this pattern no where else in the country.
In Michigan, we see a combination of Wisconsin strangeness, together with the GA/PA weirdness. We see both signs of contaminated ballot dumping, and ballot ratios drifting toward dems when they should not be. https://pbs.twimg.com/media/EmV6wKcXMAY6dzN?format=png&name=small
Virginia: https://pbs.twimg.com/media/EmV7A3LW4AIgqrA?format=png&name=small
Now in fairness, VA is the only state out of the 50 that has anomalies but has not had accusations of voter fraud, yet. I think this is the exception that proves the rule. Yet to figure out what causes this anomalous shift, but here it is so no one accuses me of holding it back.
Lets wrap this up: It appears Dems shot themselves in the foot bc making everyone do mail-in ballots actually makes it easier to catch mail-in ballot fraud. Bc all of the ballots go through the postal system, they get shuffled like a deck of cards, so we expect reported...
ballot return to be extremely UNIFORM in terms of D vs R ratio, but to drift slightly towards R over time bc some of those ballots travel farther. This pattern proves fraud and is a verifiable timestamp of when each fraudulent action occurred.
Please disseminate as necessary. Good luck. Stay safe. Be kind to your neighbors.
You have my upvote!
And my axe!
HEY! this is legit the most convincing argument for widespread mail-in voter fraud I have seen yet. It even predicts VA fraud, which us pedes that followed the election all night know, but others do not.
Nice analysis
Somebody actually posted the original material from "Data Scientist" that was on 4Chan earlier today.
Very interesting stuff.
Would love the link to that if you have, please. Thank you!
https://thedonald.win/p/11PpYjaFsu/4chan-proves-fraud-in-mi-wi-pa-g/
Saw this exact analysis on the Chans earlier.
Please sticky this instead of a goddamn meme
Text:
The following information is provided via an anonymous data scientist and another anonymous individual who wrote a script to scrape the national ballot counting time series data of off the @nytimes website.
This is based on their proprietary "Edison" data source which would ordinarily be impossible to access for people outside the press.
The CSV is available here: [link appears to have been removed] And the script to generate it is here: https://pastebin.com/NkYXrJEX
I suggest that everyone back up both of these files, bc this is an extremely important data source, and we cant risk anyone taking it down.
What we are looking at will be time series analysis and you will see that it is extremely difficult to create convincing synthetic times series data. By looking at the times series logs of the ballot counting process for the entire country, we can very easily spot fraud.
One of the first things noticed while exploring the dataset is that there seems to be an obvious pattern in the ratio of new #Biden ballots to new #Trump ballots. https://pbs.twimg.com/media/EmV0DhjXMAEb8Lu?format=png&name=small
As we can see on this log-log plot, for many of the counting progress updates, we see an almost constant ratio of #Biden to #Trump. It's such a regular pattern that we can actually fit a linear regression model to it with near-perfect accuracy, barring some outliers.
How could this be possible? Is this a telltale sign of fraud? Surprisingly, as it will be shown, the answer is no! This is actually expected behavior. Also, we can use this weird pattern in the ballot counting to spot fraud!
Here is the same pattern for Florida. We see this linear pattern again. https://pbs.twimg.com/media/EmV1CwGXUAE7FLL?format=png&name=small
and again https://pbs.twimg.com/media/EmV1MXKWEAEFW0V?format=png&name=small
and again https://pbs.twimg.com/media/EmV1Tv3WEAINuNY?format=png&name=small
and again all over the country. What appears to be happening is that points on the straight line are actually mail in votes. The reason they're so homogeneous across with respect to the ratio of #Biden vs #Trump votes is that they get randomly shuffled in the mail...
https://pbs.twimg.com/media/EmV1bNJWEAEUgVQ?format=png&name=small
like a deck of cards. Since the ballots are randomly mixed together during transport, spanning areas occupied by multiple voting demographics, we can expect the ratio of mail-in #Biden ballots to mail-in #Trump ballots will remain relatively constant over time...
and across different reporting updates.
Lets dig a little deeper into this:
Here is a plot of the same Florida voting data, but this time it's the ratio of #Biden to #Trump ballots, versus time. What we see is that the initial ballot reportings are very noisy and "random".
https://pbs.twimg.com/media/EmV2GtUXMAASR45?format=png&name=small
The initial reporting represents in-person voting. These vote reports have such large variation bc in-person voting happens across different geographic areas that have different political alignments.
We can see this same pattern of noisy in-person voting, followed by homogeneous mail-in reporting in almost all cases.
What we see in almost all examples across the country is that the ratio of mail-in Dem to Rep ballots is very consistent across time, but with the notable drift from Dem to slightly more Rep.
https://pbs.twimg.com/media/EmV3MBAW8AEm6rU?format=png&name=small
This slight drift from D to R mail-ins occurs again and again, and is likely due to outlying rural areas having more R votes. These outlying areas take longer to ship their ballots to the polling centers.
Now we're getting into the really good stuff. When we see mail-in ballot counting where there isn't relatively stable ratios of D and R ballots that slightly drift R, we have an anomaly! Anomalies themselves are not necessarily fraud, but they can help us spot fraud more easily."
Saving this! I love all the data analysis evidence!
States don't necessarily have all their absentee ballots returned to and counted together at one place. In both GA and WI each county collected and counted their own absentee ballots and reported their own data. In WI a group of smaller counties consoidated their absentee ballot counting but otherwise, each of the counties reported their totals at different times.
This should be reposted to Parler and Gab so we can share with peeps. Twatter will block this infidel soon.