Public service announcement: Twitter is full of these troll accounts that pop up in every voter fraud thread to do a disingenuous "just asking questions" shtick. Hallmarks of their style are as follows.
They leap between alternative stories, even if they're totally inconsistent with what they just said previously.
They're very eager to tell you who apparently they voted for, even though nobody ever asked or gave a shit.
They almost never engage with the question of what they're inquiring about is a reasonable burden of proof.
This guy is far from the worst I've seen. But look at how the argument proceeds. We have literal video of ballots being pulled out from under desks. This happens after observers were forcibly sent home. The reasons given for this in the media are lies.
Now, video emerges of one poll worker in these circumstances blatantly scanning the same set of ballots multiple times. What does this fool impliclty demand?
You can't call this fraud, until you've done an audit of the machine software to make sure that re-scannes ballots can't actually add to the total.
He knows this is an impossible standard. He knows that you need court orders to get Doninion to not wipe their machines!
The only purpose of such questions is to imply, disingenuously, a burden of proof that is literally impossible to meet. It doesn't matter what you show. It doesn't matter if you literally have them on video. These stooges will insist on more.
Oh, and once they've got you to make any admission whatsoever, they disengage and disappear. Like Keyser Soze, you'll never hear from them again. But some other guy with lots of digits in his name will always be back to do the same thing.

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More from @shylockh

2 Dec
Voter Birthday Explainer Thread
revolver.news/2020/12/pennsy…

This came out in Revolver recently. It’s a new twist on identifying voter fr**d: Instead of starting with weird vote patterns, find *other data* that look weird (here, voter birthdays), and then relate it to votes.
(1/N)
It’s surprisingly hard to generate fake birthdays without leaving some trace in the data. The piece considers two broad ways that pull in opposite directions. First, you’ll probably pick too many round numbers – 1st, 15th & 31st of the month, Jan and Dec etc.
(2/N)
So, you think, I’ll be clever. I’ll use a uniform distribution over months of the year. Bzzt! Months have different numbers of days. Okay, hmm. I’ll choose uniformly over days of the year. Bzzt! Wrong again. It turns out that actual birth data aren’t uniform here either.
(3/N)
Read 19 tweets
30 Nov
I'm firmly of the opinion that nobody owes any duty to investigate anyone else's claims. But I note that he doesn't address any of the anomalies I found most suspicious:

1. In Milwaukee, why did later votes swing more towards Democrats in races they were previously losing?
What on earth was going on in Montgomery County with the most suspicious looking update in the entire NYT dataset? As in, what's the specific theory here? Or is it just "unspecified errors"?
revolver.news/2020/11/explos…
Read 13 tweets
27 Nov
If you want the absolute best coverage of the state of election fr**d coverage, check out everything posted by @PereGrimmer, who's putting on a masterpiece of informed coverage of all the goings-on, including serious legal analysis.
I'm trying to divide my time between original research, summarizing and popularizing others' findings, and keeping abreast of new developments. But he's working full time on the last two, and is the absolute best game in town right now.
The saddest indictment of 2020 is that the only place to get up to the minute coverage of the lawsuits and analysis that affect the presidential election is from samizdat twitter threads by internet anons.
Read 4 tweets
25 Nov
Vote Pattern Analysis Thread
votepatternanalysis.substack.com/p/voting-anoma…
This article does something very interesting – quantifying how weird the middle of the night updates in Michigan, Wisconsin and Georgia were. I want to explain in simple terms what it does, and why it’s so important.
(1/N)
Tl; dr - the entire presidential election swings on the plausibility of these updates. And they look extremely unusual.
(2/N)
Recall, these are the places where election night saw complete banana republic stuff like boarding up windows in Wayne County vote counting centers to stop people who’d been excluded from the room even looking in.
bizpacreview.com/2020/11/05/let…
(3/N)
Read 36 tweets
22 Nov
My thoughts on the Revolver news story on Montgomery County PA
(A thread)

The original story is here – read it first:
revolver.news/2020/11/explos…
(1/N)

Read that first, at least the summary, main facts, and discussion of alternative explanations.
First, I find the analysis very persuasive. The evidence that something very weird is going on in the data is almost irrefutable. The big question is whether these have innocent explanations, or malicious ones.
(2/N)
The case for malicious is, of course, circumstantial. But it seems a lot more coherent than the alternatives, and explains a lot of different facts with far fewer moving parts than specifying an arbitrary allowable form of “errors” across multiple datasets.
(3/N)
Read 20 tweets
9 Nov
Want to identify possible election fraud, but don’t know where to start? Here’s a clean CSV format dataset from the NYT, identifying county-level presidential votes at periodic snapshots since counting began. There’s a lot to possibly analyze here.
ufile.io/q3ysydfm
It can’t do the kinds of analysis I did, for which you need down-ballot races, and it would be nice to have ward or precinct-level data, but it makes up for it with fantastic repeated snapshots, and covering all of America.
The great thing about big data is that if there is something dubious going on, it has a tendency for some trace of it to show up somewhere. If you find something, spread the word!
Read 4 tweets

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