2000 Mules (2022)

Gregg Phillips: Self

Quotes 

• Gregg Phillips : We have video of all this, and guess what it shows. 271 people approach that ballot drop box during that 25 hour period. 271. 1962 ballots were deposited.

  Dinesh D'Souza : Wow.

• Gregg Phillips : Wisconsin, it turns out, even though the rules required them to have video.

  Dinesh D'Souza : Did they do the video?

  Catherine Engelbrecht : No they did not.

  Dinesh D'Souza : There should be video on every drop box.

  Gregg Phillips : Indeed.

  Dinesh D'Souza : Given today's, kind of, cost of technology, it would have not have been that hard to do it.

• Gregg Phillips : This was an organized effort to subvert a free and fair election. This is organized crime. You can't look at this data in it's aggregate and believe anything otherwise. That's especially true when you consider that in places like Georgia it was only decided by 10,000-12,000 votes. And you look at 5,000 visits just from our mules? It's not a leap to say, "Yes, this would have made a difference."

• Dinesh D'Souza : Let's look at another one.

  Gregg Phillips : Yeah, let's take a look at, uh.

  Catherine Engelbrecht : Interesting thing about this person is the device seems to live in South Carolina. So, this person isn't even from Georgia. She was here during both election cycles, but is not a resident of the state.

  Gregg Phillips : But as she approaches the drop box, she never looks at the trash can, right?

  Dinesh D'Souza : She's looking the other way.

  Gregg Phillips : But the other thing she has is she has gloves on. What one of our analysts noticed was these surgical gloves only appeared from December 23rd forward in the runoff. We didn't see a lot of them previous to December 23rd, and we couldn't figure out why. And then it just dawned on us, well, on December 22nd, there was an indictment handed down in Arizona for people that had stuffed ballots, and the way the FBI nailed them was fingerprints. And then, low and behold, the next day and days forward.

• Dinesh D'Souza : So, what was the criteria that you set?

  Gregg Phillips : Final decision was they had to have been to ten or more drop boxes, meaning unique visits inside of a space, and five or more visits to one of the, one or more of these organizations.

  Catherine Engelbrecht : Those were the outliers. It was such an aberrant pattern.

  Dinesh D'Souza : So what you're saying, I mean it seems to me there's no reason for someone to go to even two drop boxes. But you're saying that maybe there's a conceivable reason someone would do that. Let's identify a large number of drop boxes and multiple trips, and that way we're gonna catch not all the offenders, right? But the worst offenders.

  Gregg Phillips : The way we would describe it is we want to absolutely ensure that we don't have false positives. Meaning, including people that should not have been included. We're not in any way saying that this is all there is. We're just saying that based on our criteria that we identified in Atlanta, 242 people that went to an average of 24 drop boxes and eight organizations during a two week period.

  Dinesh D'Souza : 242 mules. Now, let's pause for a second. What is a mule?

  Catherine Engelbrecht : When we started the project, we had to figure out how are we going to describe the individuals and the, and the elements involved. And to us, it felt a lot like a cartel. It felt a lot like trafficking. It can be trafficking in drugs. Trafficking in humans. In this instance, it's ballot trafficking. And so we began to use that vernacular. A mule is, by our definition, a person that is involved in picking up ballots from locations and running them to the drop boxes. So you have the collectors on the one hand, you have the stash houses, which are the non-profits, and then you have the mules that are doing the drops.

  Dinesh D'Souza : What do we know about them? Who are they?

  Gregg Phillips : Well, first let me say this is not grandma out walking her dog. Bad backgrounds, bad reputations. We've had, uh, you know, encounters with several that are, you know, not terribly positive.

  Dinesh D'Souza : Violent guys?

  Gregg Phillips : Can be. They are interested in one thing. That's money.

  Dinesh D'Souza : Do we know, by the way, how much they get paid?

  Catherine Engelbrecht : According to the people that have shared information with us, it's generally ten dollars a ballot. In the Georgia runoff, that number was higher.

  Dinesh D'Souza : 2020, of course, was the year of the antifa riots, the BLM riots, and it was all going on in the months and weeks leading up to the election.

  Catherine Engelbrecht : Right.

  Dinesh D'Souza : And so, in the data you have geotracking data of the drop boxes, but you also have data on the rioters.

  Gregg Phillips : There were several different, violent BLM/antifa riots in Atlanta. In one of them, we had three dozen of our mules participate in these violent riots. There's an organization that tracks device IDs across all violent protests around the world. We took a look at our 242 mules in Atlanta, and sure enough dozens and dozens and dozens of our mules show up on the ACLED databases. So again, this is not grandma out walking her dog. These are, you know, violent criminals sometimes.

  Dinesh D'Souza : There's not just a criminal element, but there is an ideological element. And that there's an overlap between people, I mean, you're not going to go to an antifa riot and find it overpopulated with patriots or Christians or republicans. These are people on, generally, the far left. And, turns out that these are people who also helped to make up the mule population.

  Gregg Phillips : I think that's also born out in our target organizations themselves. They're not, like, republican organizations.

  Dinesh D'Souza : Even left wing democratic organizations.

  Gregg Phillips : Right.

  Dinesh D'Souza : Let's zoom in here, So the mule is the delivery man.

  Catherine Engelbrecht : The mule is the delivery.

  Dinesh D'Souza : Or woman. And what you're saying is that they have a starting point, or multiple starting points, and then they have the end point, and the end point is the drop box.

  Catherine Engelbrecht : That's right.