Sunday, October 20, 2024

The 2020 Election: Was there a "Steal" to Stop?

OK, I generally try to not stray too deep into the miasma that is politics these days, but there is something that is worrying me. I’m seeing people, bright, intelligent people whom I respect, still buying into the “voter fraud” argument. If you’re one of those people: I hate to say this, but I truly do love you, and love sometimes has to speak the truth:

Y’all have been gaslighted. I don’t say that lightly, and I’m trying not to be mean about it, but that’s the only thing I can find to explain the phenomena.

I have two different explanations for why the 2020 Election couldn’t have been stolen: One Logistic and one Statistical. We’ll take the Logistic first.

The Logistics problem begins with this simple fact: Every voting precinct has a different slate of candidates, offices, and issues. Not every state, or every county, every voting precinct. For example, in my precinct, I vote for a different school board than the one for the city I live in, because I’m part of that school district. The school district doesn’t follow city boundaries.

Each voting precinct has a different ballot, which means that the encoded data will be different. Each precinct’s mail in ballots will be different as well. Wikipedia reports that in 2020, there were 176,933 precincts in the United States. That doesn’t have to be an exact number, though. Managing to fraudulently manipulate the results from anything over a few thousand different voting precincts rapidly becomes a logistical nightmare. Anything over 100,000 precincts in a 24 hour period? Logistically impossible. What about with a computer? Well, you would have to find a way to program a computer to invisibly manipulate different ballots, captured by different means, all within 24 hours.

What about AI? Well; (1) AI was not that advanced in 2020, and (2) AI requires a huge sample of text and images (multiple millions of samples) to be able to even recognize a ballot reliably, let alone decipher hundreds of thousands of different forms and formats, and successfully manipulate them. I'm pretty sure that someone would have spotted all those samples being accumulated.

Now, on to Statistics: I’m deep down a “numbers and logic” guy, so let’s take a logical look at some numbers. I’m using two sources of information: A 20 year MIT database of observed voter fraud as of 2020, and a table of 2020 state-by-state vote counts from Dave Lep’s Atlas of US Presidential Elections.

First, the MIT database shows, over the past 20 years, just over 1,200 cases of voter fraud, 204 of which involved mail-in ballots. That is a rate of voter fraud of 0.00006%.

Now let’s look at Dave Let’s Atlas. I didn’t pick this site because of any particular political bent, it just happened to be the first one I found that had a handy table. First, let’s look at the popular vote. The margin of popular vote victory for the Biden/Harris ticket is 3,078,287 votes. In order to make it a “dead heat”, half of those (1,539,543) would have to be fraudulent. There were 158,590,015 total votes cast across all 50 states, so a “dead heat” popular-vote election would require that there was a fraud rate of just under 1%

That is 16,000 times the rate of voter fraud observed at MIT, just to get to a dead heat. A victory for Trump/Pence by the same margin would require a fraud rate of 1.94% of all votes cast, about 32,000 times what MIT observes.

Ah, but a few key states for the Electoral College were close! What about those? Basically, we’re talking here about Arizona (11), North Carolina (15) and Georgia (16). For the sake of discussion, let’s assume that all 3 actually should have gone to Trump/Pence. The next closest state, by a “% of fraudulent votes to make it a dead heat” measure is Wisconsin, with 0.31%. That is still 5,000 times the MIT observed rate. Let’s assume that Wisconsin should have gone to Trump/Pence by the same margin (10,000 times MIT’s rate of vote fraud). Now you’re at a dead heat in the Electoral College at 269 each.

That’s what you have to assume to imagine that voter fraud made it a dead heat. 10,000 times the observed rate of voter fraud.

Not a clear victory for Trump/Pence, just a dead heat in the Electoral College. You have to assume that every one of the 4 closest states to a dead heat should have gone to Trump/Pence.

For a clear victory (by the same vote margin) you would have to throw in Pennsylvania (the next closest state after Wisconsin) with an assumed a rate of fraud in of 12,000 times the MIT observation.

To be clear: To buy the argument that voter fraud manipulated a loss for Trump/Pence, you have to assume that either; (1) a campaign to affect the vote through fraud at 12,000 times the observed rate of fraud has so far gone totally undetected by the people responsible in both parties, or (2) MIT’s data only reflects unsuccessful fraud, and the successful fraud isn’t caught. (That’s called “ascertainment bias”, where you don’t know reality because your sample size misses too much.)

Dealing with the first point, some may argue that it is all a product of a massive conspiracy to cover up the fraud. In response, I would point to Chuck Colson’s comment about his belief in the Resurrection:

“I know the resurrection is a fact, and Watergate proved it to me. How? Because 12 men testified they had seen Jesus raised from the dead, then they proclaimed that truth for 40 years, never once denying it. Every one was beaten, tortured, stoned and put in prison. They would not have endured that if it weren't true. Watergate embroiled 12 of the most powerful men in the world-and they couldn't keep a lie for three weeks. You're telling me 12 apostles could keep a lie for 40 years? Absolutely impossible.”

Regardless of how you may feel about the Resurrection, Mr. Colson’s point about conspiracy is valid: The Watergate conspirators couldn’t collectively keep a secret for 3 weeks. The more collaborators there are in a conspiracy, the more possibility that someone would break, especially when their careers and even their lives are being threatened. A cover-up on this scale would have to involve thousands of people, at many levels, any of whom would be able to bring forward evidence to prove the conspiracy, any time in the past almost 4 years. Nobody has come forward, nobody has confessed, despite the threats, and despite the opportunity to be a hero by saving some court cases.

Didn’t happen. That dog don’t hunt.

Now, let’s think through that second possibility for a moment, because “Survivorship bias” and Ascertainment bias both happen. MIT’s data when I referenced it covered 20 years of observations (1999 – 2019)*.

The assumption that the data is that massively flawed, and that the real rate of fraud is underreported by a factor of 12,000, calls into question every election in the past 20 years, regardless of who won.

So, if you want to believe that Trump’s loss in 2020 was a result of undiscovered voter fraud, you would have to accept that his victory in 2016 was a fraud as well.

Either; (a) there has been massive fraud for the past 20 years, that the MIT survey doesn’t pick up on, or (b) the 2020 election had a rate of voter fraud that exceeded the historical precedent by a factor of 12,000, and that with all the tens of thousands of people responsible (see my logistical argument) either missed it, or lied, and nobody has ‘fessed up.

That’s why I’m saying that, if you, bright person whom I respect, buy the “voter fraud” argument about the 2020 Election, you have been successfully gaslighted.

The numbers just don’t work. The logic is faulty. I’m sorry to say it, but your perception of reality has been distorted.









* I originally wrote this in late 2020, and have only minimally updated it since.

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