Twitter user, @APhilosophae, with 24K followers, recently published a This Twitter accountTwitter thread has posted a fairly convincing-looking setdetailing an analysis of plotsvoting patterns in the recent US presidential election.
They argue that most states the proportion of votes between Trump and Biden remained approximately constant throughout the later parts of the count, which they useattribute to claim some of the vote tallies have been fabricatedshuffling of mailed ballots. It's very longwinded (which I assume
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.
[...]
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...
They then point to Wisconsin voting and claim there is a tactic).an anomaly at 4am:
A friendMore allegations of mine (who badly wishes to see Trump re-elected) shared it with meanomalies are made about Georgia, Michigan, Virginia and I'm wondering if anyone can see what I'm missingPennsylvania voting.
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.
Are these apparent anomalies present in the voting data, and do they indicate potential voter fraud?