A most interesting thread popped up on Twitter Sunday from a data scientist who wishes to remain anonymous, regarding mail-in ballot data which strongly suggests fraud occurred in the wee hours of election night, when several swing states inexplicably stopped reporting vote counts while President Trump maintained a healthy lead over Joe Biden.
Using time series data 'scraped' from the New York Times website, the data - comparing several states (swing and non-swing) - clearly illustrates what fraud does and does not look like, and how several anomalies in swing states left 'fingerprints of fraud' as Biden pulled ahead of President Trump.
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 (updated). And the script to generate it is here. 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....
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.
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. 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....
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.
ZeroHedge - On a long enough timeline, the survival rate for everyone drops to zero
www.zerohedge.com