Louder with Crowder - EXCLUSIVE: New Michigan Voter Data I Stumbled Across! | Good Morning #MugClub

00:00:00.000 3, 2, 4, 7, 6, 7, 8, 9, 7, 6, 4, 3, 7, 6.

00:00:04.000 Long, when I have plucked the rose.

00:00:08.000 Gee, oh, grey-hot.

00:00:10.000 Long and still are that which longer nurseth the diseased.

00:00:14.000 In faith, I do not love thee.

00:00:17.000 Shall I compare thee to a summer's day?

00:00:21.000 when I have plucked the rose plucked the rose

00:00:25.000 longing still for that which longer nurses the disease in faith 1.00

00:00:31.000 I do not love me shall I

00:00:34.000 be subject for today Oh hello!

00:00:52.000 I didn't do the sip.

00:00:53.000 I didn't do the sip this morning.

00:00:56.000 What the hell am I doing with my Nike?

00:00:58.000 I'm not settling down for a long winter's nap.

00:01:02.000 I thought you were about to rob a Build-A-Bear.

00:01:04.000 This is weird.

00:01:05.000 You guys can see me though?

00:01:05.000 The lighting and everything is okay?

00:01:09.000 I am running late today and the reason that I'm running late is because we have some exclusive info regarding voter regularities and fraud in Michigan that no one else has talked about thus far that I know of.

00:01:21.000 And I have been in touch with some people, some higher-ups, who have said this is very interesting and something that needs to be looked into.

00:01:27.000 And we've also made some calls to county commissions or election directors, whatever the term is.

00:01:32.000 So I'm going to lay out this case for you, much like I did on Election Day, regarding the early voting.

00:01:37.000 Remember in early voting, keep in mind, I said I don't know why people are saying that Florida and Ohio are toss-ups, but they're not.

00:01:45.000 And I said, look at the early voting data.

00:01:46.000 I am entirely confident.

00:01:48.000 I'd be more surprised if Ohio went blue than Texas.

00:01:53.000 And I remember Ben Shapiro was on the stream when we crossed the streams with the Daily Wire.

00:01:56.000 That's right.

00:01:58.000 Never supposed to.

00:01:58.000 The old fogey stream.

00:02:00.000 Very educated.

00:02:02.000 And they were talking about, you know, if Trump wins Ohio.

00:02:05.000 I said, Ben, what are you talking... Ben, of course he's going to win Ohio.

00:02:08.000 I have no doubt.

00:02:09.000 And I thought I was taking crazy pills.

00:02:11.000 I said, he's going to win Ohio by 5-8 minimum, and he's going to win Florida by a handful of points, certainly more than last time.

00:02:18.000 I don't know why anyone is acting like this is any different.

00:02:20.000 I would bet money on it.

00:02:22.000 And those two were... Go back and watch the election stream.

00:02:24.000 I was right.

00:02:24.000 I feel the same way right now.

00:02:26.000 Because I felt like I was taking crazy pills back then, and no one was paying attention to it, and I feel the same way right now, and I'll tell you why I think this is.

00:02:35.000 It's because, of course, those on the left will not cover what I'm about to provide to you.

00:02:39.000 And, you know, there are some people on the right, not all, but there are some people who are grifters who just, ah, free speech, big tech, okay, what else you got?

00:02:45.000 They're not going to put in this work.

00:02:47.000 Everyone here knows that I should look like Christian Bale from The Machinist.

00:02:50.000 I've been up all night.

00:02:52.000 Combing through.

00:02:53.000 And that's just Wayne County.

00:02:56.000 One county, ladies and gentlemen.

00:02:58.000 So before we move on to talk about that, my half-Asian lawyer Bill Richmond is here.

00:03:02.000 Yo.

00:03:03.000 And that is good to know today.

00:03:05.000 I'm here.

00:03:05.000 I'm ready.

00:03:06.000 Dave Landau is here.

00:03:07.000 Of course, wonderful Dave Landau from Compound Media.

00:03:09.000 What's your Twitter?

00:03:09.000 Thank you.

00:03:10.000 At Landau Dave.

00:03:12.000 At Landau Dave.

00:03:13.000 Couldn't get Dave Landau, huh?

00:03:15.000 Don't have the pole with old castaway. 1.00

00:03:15.000 No. 1.00

00:03:17.000 No, not me.

00:03:19.000 Quarterback Garrett is here.

00:03:21.000 We do not have audio, Wade, because he had face surgery.

00:03:23.000 We're going to check in with him later.

00:03:24.000 Poor guy.

00:03:25.000 I miss him.

00:03:25.000 I love him.

00:03:26.000 And so we have Tim from HR and Gerald A. How are you, sir?

00:03:29.000 I'm well.

00:03:30.000 How are you?

00:03:32.000 I'm not angry.

00:03:33.000 I'm in a good mood.

00:03:33.000 A lot of people say, why are you being positive?

00:03:36.000 No, I'm not putting on appearances.

00:03:38.000 I'm a Christian conservative.

00:03:39.000 I live in the United States of America for at least a couple more months.

00:03:45.000 I think that's something to be happy about.

00:03:47.000 There you go.

00:03:48.000 Let me right away be a downer.

00:03:50.000 Before we move on to voter fraud, we're going to continue with Vote Fraud Week.

00:03:53.000 Please, everyone watching right now, like this and share this.

00:03:57.000 I would not be surprised if this stream gets taken down.

00:04:01.000 I would not be surprised if this stream gets banned, even though everything I'm about to provide for you comes from the Wayne County Registration Board, their election results officially.

00:04:12.000 When I run out of the room, it's either because we got banned and I've got to go do some work, or I really have to pee.

00:04:18.000 Well, IBS.

00:04:21.000 You can't spend decades eating dumplings.

00:04:24.000 It's just carbs, Bill! 1.00

00:04:25.000 Pee, not shit. 1.00

00:04:29.000 Right away demonetized. 1.00

00:04:31.000 Because of the naughty language. 1.00

00:04:34.000 And Dave, you don't need to be scared.

00:04:36.000 I can see you're a little scared.

00:04:37.000 Like, this is news here.

00:04:39.000 What's about to happen?

00:04:39.000 It's okay.

00:04:40.000 This is gonna be fun.

00:04:41.000 I'm not used to cereal.

00:04:45.000 You know, he liked his white robe better, you know, so now we've got him in this computer robe.

00:04:50.000 Morally, I like it better.

00:04:51.000 Oh, by the way, I need to clip this gun thing.

00:04:55.000 Oh, there you go.

00:04:56.000 You know what happened was I gave it to Garrett's kids.

00:04:59.000 Oh.

00:05:00.000 They had a good time with it.

00:05:00.000 With the gun.

00:05:01.000 I gave them out on Halloween.

00:05:04.000 Would you give out a high point?

00:05:05.000 Yes.

00:05:06.000 The kid's a good shot there, by the way, according to Black Garrett.

00:05:08.000 Okay, so before we move on to voter fraud, there are a lot of stories we have to get to right off the bat.

00:05:12.000 Hate to be a downer, but it is the news and it matters.

00:05:15.000 Let's go to Governor Cuomo, where he was really pissy yesterday.

00:05:20.000 I mean, give Stelter a run for his money.

00:05:22.000 When asked about schools closing due to COVID, this is a great interaction.

00:05:26.000 When we did an orange zone and a red zone in Brooklyn and Queens, And we close the schools?

00:05:35.000 Don't you remember that?

00:05:38.000 Okay, so what are you talking about?

00:05:42.000 What are you talking about?

00:05:44.000 We did it already!

00:05:47.000 That's the law!

00:05:49.000 An orange zone and a red zone.

00:05:51.000 Follow the facts.

00:05:52.000 I'm still confused.

00:05:54.000 Well then you're confused!

00:05:55.000 I'm confused and my parents are still confused as well.

00:05:59.000 They're not confused.

00:06:01.000 You're confused.

00:06:03.000 Read the law and you will be confused.

00:06:06.000 I'll tell you why he's confused.

00:06:08.000 Hold on, listen.

00:06:09.000 This is great.

00:06:12.000 The schools are open by state law.

00:06:16.000 Four hours later, they were closed.

00:06:17.000 Just so you know.

00:06:19.000 Does this feel like a bad version of Airplane Below?

00:06:22.000 You're schooling and unschooling in the orange zone, but in the red zone... And don't call me Shirley!

00:06:29.000 Stop it! 0.99

00:06:30.000 Stop that thing with the blur there.

00:06:32.000 It looked like Bill Burr.

00:06:34.000 Didn't it look a little bit? 0.99

00:06:35.000 Listen, the fucking schools, alright? 1.00

00:06:38.000 I'm not trying to be a jerk! 1.00

00:06:40.000 But the schools are closed because you have a virus in it! 1.00

00:06:43.000 Just shut up! 1.00

00:06:45.000 I just see him doing... I hate how he sits back like the Godfather thing. 1.00

00:06:48.000 Yeah, yeah, yeah, exactly.

00:06:49.000 You know, he's at the head of the table.

00:06:51.000 Like if the Godfather were just pointing to a really small pecker. 0.54

00:06:55.000 Come on! 0.61

00:06:57.000 Come on, try it! 0.66

00:06:59.000 He's like leaning back, like, look deep in my nostrils and see that I'm right.

00:07:02.000 Like needlessly angry.

00:07:04.000 What happened to him before that press conference?

00:07:06.000 Runs in the family.

00:07:07.000 I don't know.

00:07:07.000 Have you ever been to a Turkish prison?

00:07:12.000 Hey, by the way, please do consider, as we get to some more election fraud details, joining Mug Club. 0.93

00:07:18.000 Loudwithcrowder.com slash Mug Club.

00:07:19.000 We still have the promo code CROWDER.

00:07:21.000 Election stream is $30 off.

00:07:23.000 Still, because the election is not over.

00:07:25.000 And as you will see, it's far from over!

00:07:30.000 You're not confused, they're confused!

00:07:32.000 There's a law!

00:07:33.000 I don't know why my impression of Cuomo is like a young Serpico Al Pacino. 0.99

00:07:38.000 And then all of a sudden, he starts talking about big asses! 1.00

00:07:40.000 You're faking. 1.00

00:07:40.000 And the cops say, hey, now, and then all of a sudden, he starts talking about big asses! 1.00

00:07:47.000 What a change. 1.00

00:07:48.000 And you're faking it.

00:07:49.000 Chill.

00:07:50.000 Will you see me run out?

00:07:51.000 It'll be too late to have joined the blaze.

00:07:53.000 We will already have been banned.

00:07:54.000 It'll be a problem.

00:07:55.000 Get into Mug Club.

00:07:57.000 And we'll be taking your live chat later, obviously exclusively on Mug Club, and Nick DiPaolo will be on.

00:08:02.000 Your good friend there, Dave Landa.

00:08:05.000 He's my buddy.

00:08:06.000 And you don't need to read the show map here, just because I know I'll be mirroring some info later.

00:08:09.000 Just do you.

00:08:11.000 I'm trying to do me.

00:08:12.000 You're brilliant.

00:08:12.000 All right, well, thank you.

00:08:13.000 He does himself, and then he sends me the tape.

00:08:17.000 Now, before we continue as well, we have to talk about Master Hirono.

00:08:21.000 You know who I'm talking about.

00:08:23.000 Audio Wade is not here, because Audio Wade actually, a long time ago, he had an issue with his palate, where it basically caved in, and they had to screw it back, and some screws fell loose, And if you guys saw, we joked about his bee-stung face.

00:08:35.000 His face was really puffy, he had a face infection, and they had to go in and operate him, so he's having a procedure today, so send him your love, tweet him at AudioWade, and we are actually, I think he's coming out of the procedure, and we can now actually check in with the surgeon and an update.

00:08:51.000 How is AudioWade faring?

00:08:53.000 Let us pray in silence.

00:08:57.000 Wanna go tree climbing, Thomas J?

00:09:00.000 His face hurts.

00:09:02.000 And where is his glasses?

00:09:03.000 He can't see without his glasses.

00:09:06.000 Put his glasses on!

00:09:08.000 Put on his glasses!

00:09:12.000 I really need to start providing insurance for my employees.

00:09:15.000 That would help.

00:09:15.000 That would be nice.

00:09:16.000 I'm gonna put a bunch of books in his coffin.

00:09:19.000 He can take them to the other side.

00:09:21.000 Why would Macaulay Culkin go piss off a bee's nest if he's allergic?

00:09:24.000 Unless there's water nearby.

00:09:27.000 We're also going to be watching the video recently from Cut about what are white people superior at?

00:09:34.000 When you have a title that ends with a preposition, you know it's something we have to watch.

00:09:41.000 And why do you think that there's a tendency to criticize people for being white, male, straight, cis, because that's a thing now, and do you think that's going to increase under a Biden presidency?

00:09:51.000 What's your biggest concern if Biden were to become president?

00:09:53.000 Which, I don't know, I think there's a Kraken coming out, although it won't be defeated as it was immediately in the original literature.

00:09:59.000 Okay, so first let's go to this Hirono.

00:10:02.000 Is it Hirono?

00:10:03.000 Hirano?

00:10:04.000 Hirono?

00:10:04.000 Hirano?

00:10:05.000 She doesn't know, so why should we know?

00:10:06.000 Hirono! 0.70

00:10:10.000 You know?

00:10:11.000 I don't know, but I have taxpayer data!

00:10:16.000 So here she is claiming just recently that conservatives, and this matters as we head into a potential four-year Biden presidency, I'll give you a 20% shot that he does become president, where she actually said these words that conservatives do not face any kind of censorship on social media.

00:10:37.000 Senator Zuckerberg, for the second time in three weeks, you've been called before the Senate Committee, so my Republican colleagues can beat you up over claims that your platforms are supposedly biased against conservatives.

00:10:50.000 Poor guy.

00:10:50.000 The fact of the matter is that these allegations are completely baseless.

00:10:54.000 Everyone who has systematically looked at the content of social media, from

00:11:00.000 Media Matters to the Cato Institute to former Republican Senator John

00:11:04.000 Tile, has found absolutely no evidence of anti-conservative bias.

00:11:09.000 Well, listen, I don't know about Media Matters, but I will say there have been

00:11:17.000 some people who've been specifically calling for censorship and criticism

00:11:21.000 of conservatives solely for their point of view.

00:11:24.000 Not everybody, but you, Ms.

00:11:27.000 Hirono.

00:11:28.000 YouTube dragged its feet before taking any action against conservative commentator Steven Crowder.

00:11:35.000 When YouTube did finally take action, it took the half measure of removing advertisements from Crowder's videos rather than removing him from the platform entirely.

00:11:46.000 Okay, first thing, that is a flat face.

00:11:48.000 When she turns down, you cannot see eyes or a nose.

00:11:51.000 Yes, it's a safety feature.

00:11:55.000 If I was a safer person, I wish I had gotten that from my mom.

00:11:59.000 Where did the term slope come from?

00:12:01.000 That's a bluff.

00:12:02.000 Dude, I have no idea, man.

00:12:04.000 I strongly prefer Charlie.

00:12:06.000 I feel like I'm going to win a golden ticket.

00:12:08.000 Hey, Charlie.

00:12:10.000 Calm down, Charlie.

00:12:11.000 It's usually just a burnt-down village, though.

00:12:14.000 It is, but that's only Southeast Asia.

00:12:16.000 In China, we do the burning.

00:12:19.000 Geography.

00:12:20.000 History.

00:12:21.000 Here's why, also, Hirono, the reason she was complaining that we were demonetized and not banned.

00:12:26.000 Facts should matter.

00:12:28.000 I know that you know this, being a frequent visitor of Media Matters.

00:12:33.000 It's because the CEO of YouTube, the most powerful media company in existence, said clearly that we did not, that I had not violated any policies.

00:12:42.000 My half-Asian lawyer Bill Richmond, true?

00:12:43.000 Untrue?

00:12:44.000 Yeah, that's true.

00:12:45.000 Fact check.

00:12:46.000 So Hirono wants these companies to ban, according to her own words, shows like this, rather than be demonetized, because we're conservative.

00:12:56.000 So it's literally the most clear thing.

00:12:59.000 I know! 0.99

00:13:00.000 There is no bias, but bang him!

00:13:03.000 Right, she's saying they said there's no violation, they took a half measure, the full measure would have been silence this entire channel, all the hundreds of videos, never again to be seen on YouTube, but you know, we'll just go ahead and leave everything else up.

00:13:19.000 And you know what?

00:13:19.000 We've been remonetized.

00:13:24.000 Is she the sexy young gal that said that the word sexual preference is in fact hateful? 0.85

00:13:30.000 Yes, she is the one.

00:13:31.000 And then Merriam-Webster changed the definition of sexual preference being hateful.

00:13:36.000 By the way, she used it not long ago and current sitting senators used it like last week.

00:13:40.000 That's what I assume.

00:13:41.000 I never knew it was hateful.

00:13:42.000 It doesn't mean that it's not an immutable quality, as they say, sexual preference.

00:13:46.000 For example, if someone says, oh, Steven's sexual preference is women.

00:13:50.000 Sure, Steven's sexual preference is tall, blonde, cool glasses of water like my wife.

00:13:54.000 Yeah, that's true.

00:13:54.000 Not offended.

00:13:55.000 Doesn't mean that because your sexual preference is hairy man ass that you weren't born that way. 1.00

00:14:03.000 You were born with an orientation that oriented you toward hairy, sweaty man ass, and it is also your preference. 1.00

00:14:10.000 I'm right here. 1.00

00:14:10.000 You're from Strokes. 1.00

00:14:12.000 Why are you talking about Gerald's wife again?

00:14:14.000 Whoa! 0.98

00:14:16.000 What the hell? 0.94

00:14:17.000 She says she thinks you're attractive, Gerald. 0.97

00:14:19.000 What's wrong with that? 1.00

00:14:19.000 I'm gonna kill him. 1.00

00:14:20.000 She's saying that her preference is your hairy ass. 1.00

00:14:23.000 That's what she's saying. 1.00

00:14:24.000 He didn't call her wife hairy ass. 1.00

00:14:25.000 Oh, shut up, Gerald. 1.00

00:14:27.000 Gerald, I just said your wife loves you. 1.00

00:14:29.000 Whatever.

00:14:29.000 My gosh, man.

00:14:30.000 You know what?

00:14:31.000 It's his problem because he doesn't think he's worthy of love.

00:14:34.000 You are.

00:14:34.000 You are worthy of love, Geraldine.

00:14:36.000 Check that.

00:14:37.000 Also silent.

00:14:38.000 Here's something else.

00:14:40.000 Biden's transition team, one of his team members, Richard Stengel, he wrote an op-ed explaining why the U.S.

00:14:46.000 needs a hate speech law like Europe, where, by the way, people can be arrested for doing a cover of Kung Fu Fighting, or our good friend Mike Ward in Canada, where there where their hate speech laws put for a human rights tribunal

00:14:55.000 for making a joke.

00:14:56.000 So this is an active member, a current member of Biden's transition team saying we need

00:15:01.000 a hate speech law.

00:15:02.000 Combine that with Hirono saying ban Steven Crowder even though it's clear on the record

00:15:06.000 legally that he didn't violate any policies as well as the little minor detail that there

00:15:11.000 are former Facebook higher ups involved with Biden's transition team and you actually have 0.97

00:15:15.000 a, you have a stage five shit-a-cane. 1.00

00:15:18.000 It's a double barreled shit machine gun with a hair trigger. 1.00

00:15:21.000 Thank you, Officer Leahy. 0.99

00:15:23.000 People need to go back and look at just like the hate speech thing.

00:15:27.000 Remember when we went down in front of Google's sub-regional headquarters in Austin, downtown Austin, and we talked about how many different people who came up from hipster, leftist Austin and were like, I think hate speech should be a real thing.

00:15:41.000 And every single one of them, to a T, said, yeah, I guess you're right.

00:15:46.000 You know what's really telling? 0.96

00:15:48.000 Donald Trump, this crazy evil fascist who's been president for four years and brought you the best economy we've had in modern American history and brought back American manufacturing jobs. 0.99

00:15:55.000 Guess what? 0.99

00:15:56.000 He had this power.

00:15:57.000 You said that he wielded it like a fascist.

00:15:59.000 Didn't do everything by executive order, unlike Barack Obama and unlike you're going to see with Joe Biden.

00:16:03.000 They still all use more executive orders than I would be comfortable with, but guess what?

00:16:06.000 He never once tried to limit speech of liberals.

00:16:10.000 He said that the press is dishonest.

00:16:13.000 Fake news.

00:16:13.000 He talked about that.

00:16:14.000 He wanted balance in fact check.

00:16:16.000 What do we call for?

00:16:17.000 We say, well, hey, hold on a second.

00:16:18.000 If we're going to have Southern Poverty Law Center and AP, who lied about the Trump team legal case, or Snopes, who lied about many of our stories at louderwithcrowder.com, where all the sources will be available today, all we want is to have some right-leaning balance to it. 1.00

00:16:33.000 Donald Trump, the fascist dictator, Hitler in chief, apparently, never once We fought for your right to be there because we want everyone to see how stupid your arguments are. 0.99

00:16:44.000 If we had complete and total, we had the Senate, right? 1.00

00:16:46.000 and she's a bitch. He never once said that. We fought for your right to be there 1.00

00:16:51.000 because we want everyone to see how stupid your arguments are. If we had 1.00

00:16:55.000 complete and total, we had the Senate, right? We had the Senate, we had the presidency,

00:16:59.000 the executive office, and we had the Supreme Court. No conservatives have been

00:17:03.000 pushing for laws to silence you, Hirono.

00:17:06.000 Only you.

00:17:07.000 You are pushing for people to act outside of their legal purview to ban folks like this show because we say things that you don't like despite it not being a violation of policy.

00:17:17.000 And you know what else?

00:17:18.000 You know what else really gets my goat, if I were a Muslim, is...

00:17:26.000 No, Senator Hirono.

00:17:27.000 Have you ever faced discipline or entered into a settlement related to this kind of conduct?

00:17:33.000 No, Senator.

00:17:35.000 And if I greeted you on airplane and handed you scarf, would you feel welcome?

00:17:39.000 Yes.

00:17:40.000 If I touched your knee real slow like this, what do you think?

00:17:43.000 You like that?

00:17:46.000 You think she asks those questions of everyone she hires?

00:17:49.000 Yeah, everyone.

00:17:50.000 Do you think she asks that question of the president that she voted for? 0.95

00:17:54.000 You think she has a Matt Lauer button in her office? 0.98

00:17:58.000 I think she's more a Louis C.K.

00:17:59.000 version.

00:18:00.000 Yeah, that's true.

00:18:01.000 Just blocks the door.

00:18:02.000 Hey, come on in to green room.

00:18:03.000 Yeah, I hear you like to watch.

00:18:05.000 So, is that Raw Duck?

00:18:07.000 Oh my gosh, Hirono.

00:18:08.000 Wrap the magic lantern in the green room.

00:18:14.000 It's time.

00:18:15.000 This is something I stumbled across.

00:18:16.000 Please, everyone share this right now at this second.

00:18:18.000 This is what might get this stream banned.

00:18:21.000 We're about to get into it.

00:18:22.000 Specifically, exclusive.

00:18:24.000 No one else has done this yet.

00:18:25.000 It's time to continue.

00:18:26.000 Fraud Week.

00:18:27.000 Okay, so you can go to Crowder Bits and see the catalog.

00:18:37.000 We did Dominion, we did Georgia, we did Nevada and Pennsylvania, and we wanted to end on Michigan, and that's because Mr. Dave Landau and myself are Michiganders.

00:18:46.000 That's right.

00:18:46.000 And you currently live in Detroit, right?

00:18:48.000 Well, I live in New York and Detroit, yes.

00:18:51.000 Don't you live in Grosse Pointe, though?

00:18:52.000 That's right.

00:18:53.000 I love how you just dox, Dave.

00:18:54.000 Yeah!

00:18:55.000 I'm sorry.

00:18:55.000 No, you're fine.

00:18:56.000 We published his address in the show notes, so... I'm sure it's out there.

00:19:00.000 Yeah, no, I grew up in the Wayne County area.

00:19:02.000 The good thing is he doesn't need security.

00:19:04.000 He just surrounds his one house with a bunch of bombed-out crack houses. 0.96

00:19:08.000 So they act as a natural force field.

00:19:10.000 And pit bulls that aren't mine.

00:19:11.000 Yes!

00:19:14.000 Some call them roaming animals of death and others call them a natural force field.

00:19:18.000 Oh no, someone breached the perimeter here with Lucky.

00:19:20.000 What do we do with him?

00:19:21.000 Throw him on an electric fence. 0.98

00:19:21.000 What the hell do I care? 0.98

00:19:25.000 They don't like me either, but I just know where they are.

00:19:28.000 You just throw them on the fence like Dr. Grant testing this fence with a stick in Jurassic Park.

00:19:33.000 Well, how else am I going to know if it works?

00:19:34.000 That's a good point.

00:19:36.000 And we know that the guard dog doesn't work.

00:19:37.000 He's surprisingly quiet today, because I know I told him there's a topic later, Dave Landau, that I have some third rails.

00:19:41.000 I'm sorry to make you quiet.

00:19:42.000 No, don't be.

00:19:43.000 I love you.

00:19:44.000 And I love you.

00:19:44.000 I just don't know what we're going to get into.

00:19:46.000 Well, and I will say this.

00:19:47.000 Dave Landau, follow him.

00:19:48.000 He's one of the funniest human beings on the planet, and so is Nick DiPaolo, but Dave Landau's nice.

00:19:53.000 That is the difference.

00:19:55.000 So, Wayne County.

00:19:56.000 For people who don't know, Wayne County is Detroit, and Wayne County encompasses many other, I guess, county but municipality cities that are in that county.

00:20:04.000 It's a pretty big county, and people have been talking about Michigan, considering that Michigan was won, I believe, by a margin of 140-something thousand votes.

00:20:12.000 At 4 a.m.

00:20:13.000 Well, that's what we're about to get into.

00:20:15.000 So I was going through the voting records, because I know Michigan, and I didn't even have time to get to Kent County and the deeply red counties in the western side of the state, as many people know, because some margins there don't make a whole lot of sense.

00:20:25.000 Unfortunately, not all of that data is available.

00:20:27.000 But I am working with, from the official Wayne County Election Commission website, right here, these numbers.

00:20:34.000 And I asked everyone last night, I asked you last night, Half-Patient Bill, I said, are you noticing anything?

00:20:39.000 When I sent you the document, it was like a hundred and something pages, and I didn't I didn't realize that I'm the only one, me and Reg, who read, like, 150-page documents.

00:20:47.000 I mean, I regularly read millions of pages for cases, but the point was... No, I'm not belittling you!

00:20:51.000 No, no, no, no, no, no.

00:20:52.000 But the point was, there's a... Mom's not watching.

00:20:55.000 You have been so into this, she is watching, and she's like, did you read more pages than Steven?

00:20:59.000 Yes, I did, but... Is your vaccine 95.56?

00:21:04.000 She's very upset that it's not 97.

00:21:07.000 But when you looked at it, and then later you pointed out, I was like, wow, you only would know this if you'd been living it, like living the analysis the entire time.

00:21:15.000 Yes.

00:21:15.000 Okay, so let's bring this up here.

00:21:16.000 Here's a statement of the votes report from Wayne County.

00:21:19.000 So I have this, I'm mirroring my screen.

00:21:22.000 Forgive me if this is a little bit raw, because I have to zoom in and I'm using an iPad.

00:21:27.000 You see the city of Detroit, right?

00:21:27.000 Let's start with this.

00:21:29.000 City of Detroit, the precinct.

00:21:31.000 So what do we have here?

00:21:32.000 Keep in mind you have registered voters at the top there.

00:21:34.000 Here I'll show you registered voters at the top.

00:21:36.000 Then you have cards cast, voters cast, and percent of turnout.

00:21:39.000 So percent of turnout is based on registered voters.

00:21:40.000 Right.

00:21:41.000 That's important.

00:21:42.000 Very.

00:21:42.000 Knowing the registered voters and the percentage of turnout.

00:21:44.000 That's how you estimate it.

00:21:45.000 So, we look in these Detroit precincts, and these are pretty small, like 752.

00:21:51.000 Here you have over 1,000.

00:21:52.000 Here you have 801.

00:21:53.000 Some of these only have 69.

00:21:54.000 But if you look at the turnout rate, it's very low.

00:21:57.000 Right?

00:21:58.000 You have 15% there, maybe 14% here, 14% here, 15%, 12%.

00:22:00.000 You have some that are as low as 10%.

00:22:02.000 The highest I've seen here is 20%.

00:22:03.000 So this is all Detroit precincts, okay?

00:22:05.000 I want everyone to follow along here.

00:22:07.000 16%, 24%, 17%, 25%, 17%.

00:22:07.000 The highest I've seen here is 20%.

00:22:08.000 So this is all Detroit precincts.

00:22:10.000 OK, I want to follow along here.

00:22:11.000 16%, 24%, 17%, 25%, 17%.

00:22:15.000 Here, let's keep scrolling because it goes on for Detroit precincts for a while.

00:22:18.000 14%, 13%, 13%, 21% is pretty high there.

00:22:23.000 16 percent, 14 percent, 12 percent.

00:22:25.000 These numbers are pretty consistent across the board.

00:22:28.000 11 percent.

00:22:28.000 Where if you look at all these Detroit precincts, the voter turnout is between 10 and 20 percent.

00:22:35.000 There are a few that are a little bit higher, but it's between 10 and 20 percent, the voter turnout, based on registered voters in these Detroit precincts.

00:22:43.000 OK.

00:22:43.000 So that's pretty low.

00:22:45.000 And you notice here, by the way, the AV, meaning we're talking about the absentee ballots, that some of these weren't counted.

00:22:51.000 So these are the in-day election turnouts, just to be clear.

00:22:54.000 I want to be clear about this because now I'm going to go through the surrounding, not counties, but municipalities in Detroit, because we know Detroit would be where it's most liberal.

00:22:54.000 Right.

00:23:02.000 Wayne County, though, a lot of people People don't realize Wayne County encompasses a lot of places, like Grosse Pointe, like Livonia, Canton, some very suburban working class, sometimes upper white middle class.

00:23:14.000 You have areas outside of Detroit that are 95% white.

00:23:16.000 Taylor, I think, too.

00:23:19.000 Taylor as well, Northville Township. 1.00

00:23:21.000 They're white garbage. 1.00

00:23:24.000 Not just trash. 1.00

00:23:25.000 Garbage. 1.00

00:23:26.000 It's a specific kind of trash. 0.99

00:23:28.000 So let me do this really quickly here. 0.90

00:23:31.000 I will search in, for example, Gross Point, okay?

00:23:34.000 Because now we'll move down the document.

00:23:36.000 Sorry, Gross.

00:23:39.000 Okay.

00:23:39.000 It's with an E. There we go.

00:23:40.000 Yeah, no.

00:23:41.000 A little more pretentious.

00:23:42.000 Okay, so now we go to Gross Point.

00:23:44.000 We look.

00:23:44.000 Oh, wow!

00:23:45.000 We still have registered voters, as you see there.

00:23:47.000 And we have the turnout rate.

00:23:49.000 And we have total turnout, right, 84%.

00:23:53.000 84%.

00:23:53.000 82.

00:23:54.000 75 is the lowest we see there.

00:23:57.000 Even if you look at the in-day voting percentage, they're all between 25, most of them between 25 and 30%.

00:24:01.000 Some of them are absentee ballots, but you see a higher voting percentage by quite a significant margin, right?

00:24:07.000 80% here.

00:24:09.000 Now look, let me do this.

00:24:10.000 I'm going to continue scrolling through here, because these are all part of Wayne County.

00:24:14.000 And then something's going to surprise you, because we thought we were done with Detroit, right?

00:24:18.000 Alright, let's go down to... Livonia!

00:24:21.000 Very white.

00:24:23.000 Livonia, we have 79%, 80%, 84% turnout rate, 85% turnout rate.

00:24:28.000 These are crazy turnout rates, by the way.

00:24:29.000 That surprised me in and of itself.

00:24:31.000 So Detroit, we only have, of the precincts, an average between 10% and 20%.

00:24:36.000 And now, in all the surrounding suburban areas, hard, hard Trump country, Livonia, Grosse Pointe, I can bring up Canton.

00:24:43.000 Again, this is all available at lightearthcracker.com.

00:24:45.000 We will make these sources available to you.

00:24:48.000 You see a voter turnout rate of 80%, 85%, 75%.

00:24:52.000 Which should tell you that that is an absolute blowout for Donald Trump, because these are hard, hard Trump areas.

00:24:58.000 Well, and Livonia's So White was trending not long ago.

00:25:01.000 Yes, it was.

00:25:01.000 Livonia's So White.

00:25:02.000 And everybody's property value went way up.

00:25:04.000 That's where I think they poured some Clorox on Jussie Smollett's personal trainer. 0.96

00:25:08.000 They did.

00:25:09.000 Yeah, but it didn't work.

00:25:11.000 If the only piece of data that you have is this, and you're a campaign manager for Donald Trump, you're popping champagne.

00:25:16.000 Right, you're popping champagne.

00:25:17.000 And by the way, these are much bigger than the Detroit precincts, right?

00:25:20.000 You saw some that were 60 people, you saw some that were 700 people.

00:25:24.000 The highest that you saw up there were maybe a thousand-something.

00:25:26.000 Not many precincts in the thousands, but these have many thousands of registered voters and a high percentage of voter turnout.

00:25:36.000 So Melvindale, I would imagine is white, I don't know.

00:25:39.000 Northville, very white, 83%, 84%.

00:25:42.000 You can keep on going down here.

00:25:43.000 Plymouth is very white.

00:25:44.000 They have a great haunted house, Erebus.

00:25:46.000 85%.

00:25:47.000 So these numbers are consistent.

00:25:48.000 No, that's Pontiac.

00:25:49.000 Oh, that's Pontiac.

00:25:50.000 That's right.

00:25:51.000 Plymouth is a little hoity-toity.

00:25:52.000 Oh, is it?

00:25:53.000 That's right.

00:25:54.000 So either way, Plymouth is not exactly mixed.

00:25:57.000 Now, I say this because this is also important.

00:25:59.000 Donald Trump did more with minority voters than any other Republican in modern history.

00:26:03.000 He did better than he did in 2016.

00:26:05.000 So that's important to keep in mind that even with these precincts in Detroit that might have 15% total voter turnout that we saw, a higher percentage of blacks, Latinos, and women would have come out for Donald Trump because that happened in every other county.

00:26:20.000 Okay, but now we look at the area where we expected Donald Trump to win and we have 80-something percent voter turnout in much bigger municipalities, all in Wayne County, but this is what was weird.

00:26:32.000 So I did this and then all of a sudden, Van Buren I'm pretty sure, that's a Caucasian area. 0.97

00:26:38.000 That's pretty much a garbage dump. 0.99

00:26:40.000 Is it really a garbage dump? 0.79

00:26:41.000 Actual garbage, like a ski, a slope as we were trying to figure out earlier.

00:26:45.000 That's like, I think, in Louisville, Texas. 0.94

00:26:47.000 I have a friend who lives there.

00:26:48.000 I'm like, oh, you guys have a sledding hill?

00:26:50.000 He's like, no, that's a landfill.

00:26:52.000 That's our trash. 0.92

00:26:53.000 Plymouth actually had a soccer moms defund the police rally in the town center right by like the tiny theater and gazebos and stuff. 0.95

00:27:02.000 It was quite hilarious because they needed the police to watch them.

00:27:05.000 And it was all white soccer moms and a little bit of lemon. 0.56

00:27:09.000 What am I gonna do?

00:27:11.000 Have the lady in the Fabletics monitor?

00:27:14.000 She can't throw a punch! 1.00

00:27:16.000 My dog's therapist would be pretty good at this job.

00:27:19.000 Okay, so just to be clear, right now at this point we are left with Detroit, 15% turnout rate average, and then all the surrounding areas that are hard, hard Trump country, many thousands of registered voters that we see there, 80% average turning up to vote, and we know that that's obviously heavily Trump.

00:27:39.000 But then we get to the bottom here, and all of a sudden Detroit comes back.

00:27:44.000 But do you notice something?

00:27:47.000 Zero registered voters, and A, as far as percent of vote turnout.

00:27:53.000 zero registered voters and by the way these are much bigger than the precincts

00:27:56.000 before 2500 votes 1900 votes 2100 votes some of these are up to

00:28:01.000 like 3000 votes 3400 votes 3300 votes

00:28:05.000 2100 votes 2300 votes 2900 votes with zero registered voters and the percent of voter

00:28:13.000 turnout this by the way these numbers here that have zero

00:28:16.000 registered voters no data whatsoever

00:28:19.000 that you could match against let's say if you're doing some kind of canvassing

00:28:22.000 if you're doing some kind of actual recount there be no way to actually check because there is zero

00:28:26.000 registered voters This totals up to around 173

00:28:31.000 1,000 voters.

00:28:31.000 Again, look, 0, 0, 0, 0, 0, 0, 0, 0, 0.

00:28:32.000 And I know what some people are going to say.

00:28:35.000 Well, that's the AVCB, which is the Absentee Voters Counting Ballot.

00:28:39.000 What's the... Committing Counting Bureau.

00:28:42.000 I forgot what the actual acronym is for here.

00:28:45.000 But let me bring this up here.

00:28:47.000 It's the Counting Board.

00:28:49.000 It's the Counting Board.

00:28:51.000 So they would say, OK, hold on a second.

00:28:53.000 So this is their argument.

00:28:55.000 Well, that's from the absentee ballots.

00:28:57.000 Okay.

00:28:58.000 We've called.

00:28:59.000 We've made two calls to county boards and to people who are handling these elections.

00:29:03.000 We were not able to get through to anybody.

00:29:05.000 It still doesn't give you any reason as to why they wouldn't have registered voters at all.

00:29:11.000 Let's assume for a second that all these votes came in really quickly like drinking from a firehose.

00:29:16.000 Well, it doesn't matter.

00:29:17.000 You still have long-before-election registered voters.

00:29:19.000 That's how they do the polls, right?

00:29:20.000 The liberal polls were doing registered voters instead of doing likely voters.

00:29:23.000 So that doesn't change the fact that that data shouldn't read 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.

00:29:27.000 0 0 0 0 0 0 0 0 0 0 0 0.

00:29:31.000 And this totals 173,000 votes from zero registered voters in those precincts.

00:29:38.000 So what are we left with?

00:29:39.000 We're left with the Detroit precincts where we have some data on registered voters, okay, we know the registered voters, and a 15% turnout rate average.

00:29:47.000 Then we have heavy, heavy, heavy Trump country growth point.

00:29:50.000 Places like Livonia.

00:29:52.000 Places like Canton, right?

00:29:53.000 places where you would have working middle class, some union guys, but people who whisked 0.96

00:29:57.000 Trump into the White House last election with an 83% average voter turnout rate.

00:30:04.000 So Detroit, we have numbers for some reason, 15% voting rate.

00:30:08.000 The other areas where it would be white, working class, blue collar Trump voters, 85% voter

00:30:15.000 turnout rate.

00:30:16.000 Then zero, in all of these absentee ballots, zero registered voters, which give us 173,000

00:30:24.000 votes from 134 ABCBs.

00:30:29.000 Now keep in mind that late on election night, in the middle of the night, there was a ballot dump with about 150,000 ballots, all for Biden.

00:30:39.000 Less than four percent, about three percent, That doesn't occur anywhere in nature.

00:30:48.000 You could have an election in America's Communist Party and Donald Trump would get more than 3% of the vote.

00:30:55.000 So this area where there's no way to actually check these votes at all, no registered voters, And we have a dump of, I want to make sure I get this number right, 150,000 votes on election night.

00:31:07.000 Less than 6,000 for Trump.

00:31:09.000 That's about 3% of the votes.

00:31:11.000 And you want to say there are no irregularities?

00:31:13.000 There's no reason to count this?

00:31:15.000 Well, those are just absentees, so they're from ACVB.

00:31:18.000 So, hold on a second.

00:31:19.000 Why don't you have registered voters?

00:31:21.000 Furthermore, do you know what the average turnout rate would have to be for these absentee ballots?

00:31:27.000 100%!

00:31:27.000 Wow.

00:31:28.000 It would have to be 100% for these remaining votes and they would all have to go to Biden.

00:31:33.000 Assuming, it would have to be more than 100% because if there's one vote that comes in that's higher than that's already 200% because it's zero!

00:31:40.000 There are no registered voters and it all tipped.

00:31:43.000 All the data that we do have available for us, which by the way you should have in elections and most counties do, this is just a rule of Wayne County by the way, If you have more than 250 precincts, then the other ones can just be ACVBs, whatever it's called, absentee ballot counting.

00:31:59.000 And at that point, you can just count them as much as you want, take them as they come in.

00:32:02.000 But why don't you have registered voters?

00:32:04.000 And how can we understand the voter turnout rate?

00:32:07.000 We have three turnout rates right now, okay?

00:32:10.000 We have Detroit, registered voters, about 15% turnout rate.

00:32:14.000 We have everywhere else in Wayne County, deeply red, we have an over 80% turnout rate.

00:32:19.000 And then we have a third turnout rate, which is N.A., because 150,000 votes came in in the middle of night from zero registered voters.

00:32:28.000 100% of which, 97%, it's a rounding error for Donald Trump.

00:32:32.000 Keep in mind, by the way, remember that 138,000 or 128,000 votes that happened in Wisconsin that ended up being a typo?

00:32:41.000 That's less.

00:32:43.000 That's less than the ballot dump that actually took place in Michigan in the middle of night with 97% coming in for Biden and zero registered voters for 173,000 of those votes.

00:32:55.000 The lead in Michigan, by the way, for Biden is 146,000.

00:32:59.000 Something else?

00:33:00.000 That's a huge chunk of Detroit because Detroit used to be a big city.

00:33:03.000 The last census tried to claim there were 700,000 people in Detroit and we all laugh.

00:33:06.000 It's an ongoing joke.

00:33:08.000 It's not.

00:33:08.000 It's like 250,000 and one crackhead just filed for unemployment.

00:33:13.000 If you count the pit bulls around Dave's house.

00:33:16.000 And a lot of them wear hats.

00:33:17.000 And one other thing that's important, because this is how they do their elections.

00:33:21.000 It's not how they did it in the primaries.

00:33:23.000 Is this zero?

00:33:24.000 I'm sorry.

00:33:25.000 You should be.

00:33:26.000 140,000 people?

00:33:30.000 Of zero people?

00:33:31.000 173,000 votes from zero registered voters.

00:33:35.000 According to the records.

00:33:36.000 I wanted to make sure I heard that right.

00:33:38.000 So what they've done is they've broke, at the very best, they've broken this out into a way that you cannot figure out exactly how many people voted in each one of these precincts and they didn't do it anywhere else in the county.

00:33:49.000 Right, they didn't do it anywhere else in the county.

00:33:51.000 Why do we have records?

00:33:52.000 From areas in Detroit County that are smaller precincts, a dozen here, a few hundred there, maybe every now and then you throw in a precinct with a thousand, but the big ones, 4,000, 3,000, zero registered voters, no information.

00:34:05.000 So this isn't an election irregularity.

00:34:09.000 This is what you would do if you were trying to commit fraud.

00:34:14.000 And this is what we suspected right when we said, hold on a second, we went to sleep and there was this ballot dump?

00:34:19.000 How does that happen?

00:34:20.000 And how did the state flip?

00:34:21.000 Because before we went to bed, we were effectively calling the presidency for Donald Trump.

00:34:25.000 Well, no one expected 140-something thousand ballots coming in, 97% for Biden.

00:34:31.000 We said, well, we're gonna have to look into those numbers.

00:34:33.000 That seems weird.

00:34:34.000 Now you can't because there are zero registered voters.

00:34:36.000 We have no idea as to the voter turnout.

00:34:38.000 The turnout could be 130%!

00:34:40.000 It would have to be that for this to actually make sense.

00:34:44.000 At best, this is by design a way to cover up voter fraud.

00:34:48.000 And again, it's not how they did it in the primaries.

00:34:51.000 So even in the Democratic primary, when they wanted to get their candidate right, they made sure that they didn't have this kind of a lack of data.

00:34:58.000 So really, at worst, this is designed to commit fraud and have no way to be fact-checked.

00:35:04.000 At best, we have to believe that A, these people are totally unaccountable, that no one cares, no one in the media has actually done this research and looked at these numbers, and that they just, they're like, well, you know what, we don't have the rest of your voters, so, um, nah.

00:35:20.000 Just don't worry about it, guys.

00:35:21.000 It'll be fine.

00:35:22.000 And lest you think more data is coming that will clear all of this up, isn't there a news story about some county rushing to certify the election results?

00:35:31.000 Yes, we are going to get to that in a second.

00:35:34.000 But this is really important for people to understand.

00:35:40.000 There's no way to know when there's irregistered voters, and there's no reason to not have a tally of registered voters.

00:35:47.000 I understand, let's say, it takes a while to count.

00:35:49.000 Like, Arizona's still counting.

00:35:50.000 I don't know how many coffee breaks they take over.

00:35:52.000 A lot.

00:35:53.000 A lot.

00:35:53.000 A little bit of siestas.

00:35:54.000 We've heard about the demographic changes in Arizona.

00:35:57.000 Siestas. 0.87

00:35:58.000 We get it.

00:35:59.000 You haven't finished the counting.

00:36:02.000 But that's the ballots where you say, well, we don't actually, we don't have the number that we still have to go through the ballots.

00:36:06.000 Fine.

00:36:06.000 That doesn't change the fact that you have the registered voters long before election.

00:36:11.000 That's not something that happens on election night.

00:36:13.000 What you do on election night is match your ballots with the registered voters.

00:36:17.000 There's no reason for that to be a zero.

00:36:19.000 There is no reasonable explanation for that to be a zero, and we've called twice, and we've been given the runaround, and no one has given an answer at all.

00:36:28.000 And again, this is not the way that they did this in the primaries.

00:36:31.000 We're going to continue with Michigan election fraud, but this is something that... Did you have a question?

00:36:35.000 I think you were No, I was just gonna play a little devil's advocate and say if you, you know, take out Kwame Kilpatrick that was the mayor of Detroit being in prison and Dennis Archer weirdly running out before stuff got out and Coleman A. Young's entire, you know, term that put white boy Rick in jail.

00:36:50.000 Yeah, the Democratic Party, I think, has done a pretty good job.

00:36:54.000 It's all about perspective.

00:36:55.000 They wanted to lower the population.

00:36:57.000 When you eliminate Detroit, they've done a good job with Detroit.

00:37:00.000 Exactly.

00:37:02.000 Sure, we had a riot and then it was no more.

00:37:05.000 Detroit's like Lindsay Lohan.

00:37:06.000 You watch him in the news and people are like, Detroit's coming back!

00:37:10.000 You watch him and you feel for her and you really hope that they get it right, but you know they're never going to.

00:37:17.000 It's just gonna be another crackbender and at some point a burka for some reason that then disappears and is replaced with that bracelet, whatever that was. 0.99

00:37:25.000 That burka's called Dearborn. 1.00

00:37:26.000 Yes!

00:37:28.000 By the way, it had a crazy turnout rate, too.

00:37:30.000 Out of nowhere!

00:37:32.000 Yeah, the Ilhan Omar area.

00:37:33.000 Who knew?

00:37:34.000 But before we continue now with some of the election data that is publicly available, but you may not know, our correspondent Thomas Finnegan is here with us today for Fraud Facts.

00:37:46.000 Oh, I didn't know if we had an intro for Thomas Finnegan.

00:37:48.000 No?

00:37:49.000 Do we not, Court of Black Yard?

00:37:50.000 All right, Thomas Finnegan is here.

00:37:51.000 Thomas, I thought we were going to you.

00:37:52.000 You're here.

00:37:52.000 I thought you were on location.

00:37:54.000 No, I'm here today.

00:37:55.000 All right.

00:37:55.000 Well, yeah, we can't really hear you.

00:37:56.000 Okay, so Thomas Finnegan.

00:37:57.000 It's Fraud Week.

00:37:59.000 You have some fraud facts for us.

00:38:00.000 I wanted to apologize first for dropping the ball earlier this week.

00:38:04.000 Yeah.

00:38:04.000 I'm sorry.

00:38:05.000 With the frog facts.

00:38:07.000 It's Fraud Week.

00:38:08.000 But I have some facts about frauds.

00:38:10.000 You have some facts.

00:38:11.000 Fraud facts.

00:38:11.000 Good.

00:38:12.000 Relevant.

00:38:12.000 Thank you for doing the research.

00:38:13.000 It was a film that came out in Australia in 1993 with Phil Collins and Hugo Weaving.

00:38:20.000 The soundtrack is not available for purchase.

00:38:26.000 It was in competition in 1993 for Ken's Film Festival Award.

00:38:32.000 Okay, well first we're doing, that doesn't even seem like fraud.

00:38:35.000 That just seems like a tidbit.

00:38:36.000 That's like a did you know.

00:38:38.000 Frauds.

00:38:39.000 This is, yeah, this is more about fraudulent elections.

00:38:44.000 Oh, if you want to talk about numbers?

00:38:46.000 Okay, yeah.

00:38:46.000 It grossed about 30,000 Australian dollars.

00:38:49.000 Yeah, no, that's not relevant.

00:38:50.000 We were talking about fraud, fraudulent elections.

00:38:52.000 Election fraud.

00:38:55.000 All right, you know what, Reed?

00:38:56.000 We have a sponsor here, Gabby.

00:38:57.000 How about you read that for us, Thomas?

00:38:58.000 Let's earn your pay here. 0.99

00:39:00.000 I know that your wife still have formula to buy. 1.00

00:39:05.000 Can I have some water?

00:39:07.000 Yeah, you can have some water.

00:39:09.000 Yeah, okay, well, you know what, uh...

00:39:16.000 Angela, let's get some more water in here. You can probably keep it. 0.99

00:39:18.000 Okay, Gabby. Our wonderful sponsor, Gabby, as we continue with Michigan Fraud Facts.

00:39:22.000 Go ahead, Thomas Vinnigan.

00:39:23.000 You know, you're probably overpaying on car and home insurance.

00:39:27.000 Sure, you'd love to save money, but spending hours on your own,

00:39:30.000 shopping for low rates to maybe save a few bucks is probably not...

00:39:35.000 Thomas Vinnigan, everybody.

00:39:37.000 Thank you very much.

00:39:37.000 I'll take it from here.

00:39:39.000 Okay, so Gabby is a wonderful sponsor. 0.99

00:39:41.000 We're really happy about them.

00:39:42.000 Actually, a lot of people here are using insurance.

00:39:45.000 I'll be back with some frog facts.

00:39:49.000 No, we don't need it.

00:39:50.000 No, fraud week is over.

00:39:51.000 Leave, leave, Thomas Finnegan.

00:39:52.000 Thank you, Thomas Finnegan, everybody.

00:39:54.000 So, a lot of you pay for insurance at home, and you don't realize insurance is one of those things you get locked into, and then your rates just keep rising and rising, and you could actually be saving a lot of money.

00:40:03.000 So we entered this in, and we're wildly surprised with things like car insurance or different kinds of insurance.

00:40:08.000 So if you go to Gabi, It's gabby.com slash Crowder.

00:40:11.000 You'll get a free quote.

00:40:13.000 Just punch in your insurance information and they'll show you what you could be paying elsewhere.

00:40:16.000 It's one of those things that's basically free money on the table.

00:40:19.000 You might be overpaying.

00:40:20.000 A lot of people are.

00:40:22.000 I gotta say, I was surprised.

00:40:23.000 I gotta tell you, use the money you save by going to Gabby and join Mug Club. 0.78

00:40:26.000 Yeah, join Mug Club. 0.56

00:40:27.000 It's free right there.

00:40:29.000 Or we'll start a GoFundMe for Thomas Finnegan to... He wants to go independent.

00:40:34.000 Let's put him in a broken down helicopter and send him a flight.

00:40:37.000 That's a King's speech.

00:40:38.000 Not so good.

00:40:39.000 So I also had a great experience with Gabby.

00:40:42.000 And also, since they don't sell your data, it's another little F you to big tech, which I appreciate.

00:40:48.000 I really don't think you should drink out of that mug.

00:40:50.000 No, I really don't think I should drink out of that mug.

00:40:52.000 Angela, bring in some other water if you can. 0.96

00:40:54.000 If you don't mind, someone can bring it in.

00:40:55.000 So let's continue on with Michigan.

00:40:57.000 What was it that you brought up?

00:40:59.000 Well, no, in the Michigan thing, I don't understand what the logic would be other than fraud, right?

00:41:03.000 So you're trying to think in the world of what they're doing, why would you separate it out when you don't do it anywhere else?

00:41:07.000 Oh, no, that's not what you brought up.

00:41:08.000 You brought up the point about people certifying the election.

00:41:11.000 Sorry.

00:41:11.000 Oh, yeah, yeah, yeah.

00:41:12.000 That is something we need to get into.

00:41:13.000 But before we continue with the rest of Michigan fraud, it is important because I know a lot of you saw this.

00:41:18.000 We covered it while it was happening live.

00:41:19.000 We had the exclusive.

00:41:20.000 But to set the tone, there is a question mark behind why did they do this at the precinct, covering it up, For a lack of accountability in Detroit proper in Wayne County.

00:41:31.000 This happened.

00:41:32.000 Hmm.

00:41:33.000 Look at the nod of approval.

00:41:45.000 Yeah.

00:41:46.000 Yeah.

00:41:48.000 They do that when I walk by preschools.

00:41:50.000 Yes.

00:41:53.000 I do that on the side of my van when I drive by preschools.

00:41:58.000 I can't afford siding.

00:42:01.000 Who buys an all-glass van for no shenanigans?

00:42:03.000 I don't know.

00:42:04.000 But the Bristol boards come in handy.

00:42:07.000 I make a trip to Staples.

00:42:09.000 Timmy's none the wiser.

00:42:10.000 It's almost like they should be able to see through those windows.

00:42:13.000 It's also easier to write on, like puppies.

00:42:15.000 Oh, yeah.

00:42:16.000 You know, free candy inside.

00:42:17.000 Yeah, because one day it's ice cream and you're like, I don't want to go buy a puppy van.

00:42:21.000 No, exactly.

00:42:21.000 Right.

00:42:24.000 It's a modular rapist van.

00:42:26.000 Yes.

00:42:27.000 That's what I'm saying.

00:42:29.000 And by the way, it's for someone else.

00:42:31.000 Not for you.

00:42:33.000 Okay, so the Michigan Board of Canvassers, this is what you were talking about, they refused to certify Wayne County after they said that absentee ballot poll books at 70% of Detroit's 134 absentee counting boards were found to be out of balance without explanation.

00:42:48.000 Here's the thing, I'm assuming that some of that comes from what we just showed you, and I think a lot of this is lost in translation, because everyone talks about election fraud, and they want the soundbite, they want the tidbit, and they go, well, some things are out of balance, but they don't know exactly why.

00:43:01.000 Is it just me, or was that shocking to you to see?

00:43:03.000 Zero, zero, zero, zero, zero.

00:43:05.000 It's incredibly shocking, not only because when you think about how they did in the primaries, which is a very... when we look at these things we say, okay, this is how it is, but how does it compare to what it should be under the rules, the regulations, the guidelines?

00:43:17.000 And also, how have you done it in the past?

00:43:19.000 Right.

00:43:20.000 And when you see something that is wildly out of whack, just a completely different system with completely different results, you have to ask the question, why?

00:43:28.000 And when the results all tend to go in exactly one direction... Like 97%?

00:43:33.000 Right.

00:43:34.000 97%?

00:43:34.000 It's a pretty high 97%, which is more than the voting win number.

00:43:38.000 It's a lot.

00:43:39.000 It's a lot. 0.99

00:43:40.000 Even if it were entirely black lesbian women, Donald Trump would get more than 3%. 1.00

00:43:48.000 People understand that? 0.99

00:43:49.000 If it were Ph.D.

00:43:51.000 Afro-lesbian funk studies majors.

00:43:55.000 Ooh, funk.

00:43:57.000 They would still give Donald Trump more than 3%!

00:44:00.000 Antifa would vote more than 3% for Donald Trump!

00:44:05.000 We go, well this is weird, and how can we fact check?

00:44:07.000 Well, hold on, it's a 0, 0, 0, 0, 0, 0, 0.

00:44:09.000 So when you read this from the canvassers, right, the people who refused to certify, it just says, oh, 70% of the absentee voting were out of balance.

00:44:16.000 People go, well that seems suspicious, someone should look into it.

00:44:19.000 We just did.

00:44:20.000 Unfortunately, a lot in conservative media, Don't give you more than the soundbite.

00:44:24.000 We just did.

00:44:26.000 Now you know.

00:44:27.000 It's incredibly disturbing.

00:44:29.000 Go to the website LightUpWithCutter.com.

00:44:30.000 Read it for yourself.

00:44:31.000 Give me an easy explanation here.

00:44:33.000 I'm looking to be wrong.

00:44:34.000 I could be wrong.

00:44:35.000 There could be a really easy fix.

00:44:38.000 I don't know what it is, and we've reached out to the officials in charge, and they don't answer.

00:44:43.000 They don't seem to know what it is.

00:44:45.000 Here's the thing.

00:44:45.000 These people refused to certify.

00:44:46.000 It was a deadlock 2-2.

00:44:47.000 Then, they were doxxed, and all of a sudden they said, we'll certify.

00:44:52.000 So what they actually said was, found to be out of balance, and these are the quotes, without explanation.

00:45:00.000 Just think about how bad of an admission that is.

00:45:02.000 I mean it's not bad, they were being honest.

00:45:04.000 They said without explanation, and that's why they didn't want to certify.

00:45:08.000 And we had some explanations that needed to be borne out with some more explanation or some detail or we have some theories that seem plausible that make sense we need to get some more data.

00:45:17.000 It was just literally guys like in our wildest imaginations we cannot come up with an explanation for these numbers so we should pump the brakes and then the entire leftist world goes NO BRAKE PUMPING!

00:45:29.000 CUT THE LIGHTS!

00:45:32.000 Listen, all I'm saying is we should investigate these 173,000 plus votes that came in in the middle of the night, all for Joe Biden.

00:45:43.000 Well, why do you say that?

00:45:45.000 Because that number is higher than the total of registered voters, which was zero.

00:45:52.000 I feel like they buried the lead a little bit.

00:45:54.000 They were like, oh, you know, this is irregular, it's out of balance.

00:45:57.000 If you had come out and said there are 173,000 votes that we can't account for and we need to make sure we can, I think that would have been a stronger argument to the public than, they're out of balance.

00:46:07.000 Out of balance could be five votes.

00:46:09.000 But here's the thing is, they didn't even want to get to that point.

00:46:11.000 They were doing their job and said, we can't certify this, we need to go and So here's what happened.

00:46:16.000 They said, we can't certify it.

00:46:17.000 They were doxxed.

00:46:18.000 And so then the news was like, oh, now they certified it.

00:46:20.000 But actually, they said they're rescinding their votes, by the way.

00:46:23.000 These people said they were bullied into certifying the election.

00:46:26.000 You know, I think we're getting a little loose with the terminology.

00:46:29.000 Bullying, if someone lists your name, birthdate, address, personal hobbies, and schedule.

00:46:34.000 Yeah, it's not like you were getting a swirly.

00:46:36.000 Yeah, ask you to hold a ticking package for them.

00:46:40.000 Giving that lady a wedgie. 1.00

00:46:41.000 There was just someone outside of their house, one of those professional sign spinners going, But you know what I'm very confident is is that was a lot of people who preach love and unity were the ones that were saying certify our votes or we'll eat your children.

00:46:56.000 Yeah well you know what though you can love someone and hurt them like my dad spanking me.

00:47:00.000 They're basically loading up their 357 Magnum saying this is going to hurt me much more than it's going to hurt you.

00:47:07.000 It's tough love.

00:47:07.000 I don't know about that.

00:47:08.000 Canvassing bore.

00:47:09.000 He's making a list, checking it twice.

00:47:14.000 Bipartisan board, by the way.

00:47:15.000 Bipartisan board.

00:47:17.000 And you don't think they realized what they were doing if they were going, guys, we're looking at this information.

00:47:23.000 It is going to cause a storm if we don't certify these results.

00:47:27.000 But we are compelled.

00:47:30.000 Keep talking.

00:47:30.000 I'm going to go shut off this monitor.

00:47:32.000 Oh no.

00:47:32.000 Ethically, morally.

00:47:33.000 I'm just shocked by the facts.

00:47:40.000 Look, you can't slap Dave Landau in the face with data and then be surprised.

00:47:47.000 If I would've slapped him in the face, I wouldn't wear underwear.

00:47:49.000 What is this? 0.99

00:47:49.000 Look at this. 0.99

00:47:50.000 These are more pajamas.

00:47:51.000 Look.

00:47:52.000 Look at this.

00:47:54.000 I don't know.

00:47:55.000 My mother-in-law bought these for me for skiing, and she goes, hey, why don't you try them on?

00:47:59.000 Show me how you like it. 1.00

00:48:00.000 I walked out, felt a breeze, and my mother-in-law, I'm sorry you had to see my dick. 1.00

00:48:06.000 It's on her. 0.99

00:48:08.000 She's like, Stephen, go try these on.

00:48:10.000 I felt a breeze.

00:48:13.000 I didn't want to look down because I was hoping for the best going, hmm. 1.00

00:48:17.000 That wouldn't be my big fat dick swinging out there. 0.99

00:48:19.000 No one would design a fly that way. 0.99

00:48:21.000 Why would they do that to me?

00:48:22.000 She said, no, no, it's not that big.

00:48:24.000 No, she didn't.

00:48:27.000 It's out there.

00:48:28.000 It was swinging, but it was inside.

00:48:29.000 It can't get outside.

00:48:30.000 That's why the annulment was in play.

00:48:34.000 So, here's another one.

00:48:35.000 Michigan, let's go through some other... I'm gonna look at you.

00:48:37.000 I know what happens is when people have information on the screen, they look at it, it's like, you guys don't need to know that stuff because it's my job.

00:48:46.000 You're just, you're you.

00:48:47.000 You're funny.

00:48:48.000 I'm just shocked by the numbers.

00:48:49.000 Isn't it crazy?

00:48:50.000 I just feel like I'm surprised this is politicians cheating and not the little rascals. 0.63

00:48:57.000 The numbers are insane.

00:48:58.000 It's just the mayor of Detroit coming in in a trench coat on somebody else's shoulders.

00:49:02.000 All these absentee ballots!

00:49:06.000 Okay!

00:49:07.000 Now remember, remember the story that you covered the day after the election about the lack of security at Bristol Board University, which is the, what is it, they call it Cobble Hall?

00:49:18.000 Cobble Hall.

00:49:19.000 Now it's like It's all in the same place.

00:49:20.000 Right, right. But at this very location, right? So this isn't, you know, oh we're bringing in this

00:49:26.000 issue in this state and this issue in this county. It's all in the same place. It's

00:49:31.000 zero registered voters with 173,000 votes in the same building that we showed had no security

00:49:38.000 during the hours when the votes were counted when they weren't counting. We showed people

00:49:42.000 going in with wagons and coolers because it was happening live.

00:49:45.000 Like, it had just happened.

00:49:46.000 And then people said, oh, it's camera equipment and you're conspiring.

00:49:48.000 No, no.

00:49:49.000 We weren't talking about it for sure being balanced in those coolers.

00:49:52.000 We were saying, why is someone able to go in with a full cooler with no security into a voting precinct?

00:49:58.000 I got stopped through TSA because I had a bottle of shampoo that was 4.2 ounces.

00:50:04.000 Just to be clear, they're going in to basically be in charge of the state of Western civilization, and they're just bringing in real wet wagons?

00:50:12.000 Well, you know what the response was?

00:50:13.000 The response was, I can't do my walk!

00:50:15.000 Look at all of these coolers and suitcases and wagons, and look, one of the wagons might have just been camera equipment.

00:50:23.000 And you're like, okay, okay, great, awesome.

00:50:24.000 You were able to show us that this wasn't fraud and that the issues there in the wagon, the wagon was innocent.

00:50:31.000 Okay, so let's continue the investigation.

00:50:33.000 Nope, investigation over.

00:50:34.000 Hold on, let me see that cooler. 0.97

00:50:35.000 Open it up.

00:50:36.000 It's empty.

00:50:37.000 Why?

00:50:37.000 What's in there?

00:50:38.000 Registered voters.

00:50:38.000 The prestige!

00:50:40.000 The local Fox 2 newswoman has spoken.

00:50:45.000 Right, yes.

00:50:46.000 That's all it was.

00:50:47.000 She came out, she's like, guys, come on.

00:50:49.000 I have a question.

00:50:50.000 Oh, you would know.

00:50:51.000 Did Nikon partner with Yeti?

00:50:53.000 And now you have, like, coolers?

00:50:54.000 That's all it is.

00:50:55.000 Right?

00:50:56.000 Radio Flyer got together with Nikon and said, yeah, let's make you carry it.

00:50:58.000 What's the vote count?

00:51:00.000 I do not know, but I would love to tell you about the new REI-improved Scandium carabiners that you can purchase now for 20% off.

00:51:09.000 Don't gotta wait till Black Friday.

00:51:11.000 We got a black day every day at REI!

00:51:14.000 That's like the worst excuse ever.

00:51:15.000 It's camera equipment.

00:51:16.000 Yes, because people carry camera equipment in igloo coolers.

00:51:21.000 Unless they're a Republican, in which case they're not allowed to use their cameras.

00:51:24.000 And radio flyer wagons.

00:51:27.000 A Republican poll watcher goes in with a camera and they smash it like Bluto Lutarski with a guitar.

00:51:33.000 Okay, here's some other facts here.

00:51:35.000 Michigan, they already had problems with the mail-in ballots earlier in the August 4 primary.

00:51:39.000 6400 absentee ballots had to be thrown out, including, by the way, 846 ballots from dead voters.

00:51:45.000 Now I know every now and then you'll get a story from BBC or HuffPo that'll say, meet the Michigan dead voter who's speaking out, and she's like, I'm not!

00:51:51.000 dead yet!" And everyone goes, well that's good enough for me. Listen, there can be some mix-ups,

00:51:55.000 but again, in August, 846 ballots from dead voters had to be thrown out. That's just 846

00:52:02.000 out of 6,400. Wow. Now combine that with the fact that mail-in ballots in the general election were

00:52:08.000 accepted at 30 times the rate of any other previous election, and the fact that we have 173,000 votes

00:52:15.000 in Detroit proper from zero registered voters, I don't know at what point we can use the word

00:52:21.000 Suckery, but I think we're about there.

00:52:23.000 Here's some more information.

00:52:25.000 47 Michigan counties, of course, by the way, they use Dominion software.

00:52:28.000 So, I don't know all of the counties that use Michigan software, but maybe that could explain some other glitches that have taken place in Michigan, so we can tally this up.

00:52:36.000 Primaries, thousands of votes have had to be dismissed, including 800 from dead people.

00:52:41.000 Zero registered voters with 173,000 votes that came in, 97% for Biden.

00:52:45.000 Poll watchers not being allowed as they add up Bristol boards.

00:52:48.000 But now we have a glitch, of course, in Michigan that we know about, in Antrim County, where 6,000 votes flipped From Biden to Trump.

00:52:56.000 Now here's what they're saying, well we caught it before the election.

00:52:58.000 Well yeah, you probably caught it before the election because you were able to match it against registered voters because it wasn't ZERO!

00:53:05.000 Then there was another glitch in Oakland County, and I don't know if they use Dominion, and it led officials to declare... they declared a Democrat a winner, a Republican conceded.

00:53:14.000 Oops.

00:53:15.000 And then they called him and said, hey, yeah, about that, you didn't need to do that.

00:53:18.000 He said, what?

00:53:19.000 They said, you won.

00:53:20.000 He's like, oh man, that must have been close.

00:53:22.000 He won by like a thousand votes, and it's a small county. 1.00

00:53:24.000 He's like, you're bullshitting!

00:53:26.000 I won by a thousand votes, but I conceded last night! 0.92

00:53:29.000 We don't know what happened.

00:53:30.000 It was a glitch!

00:53:31.000 So did he retract his concession?

00:53:33.000 Do you concede concede?

00:53:34.000 Yeah, I don't know.

00:53:35.000 Maybe he just, like, tweeted.

00:53:37.000 Is that official?

00:53:37.000 No givebacks.

00:53:38.000 His opponent said no takebacks.

00:53:40.000 Double quidges, no erases! 0.99

00:53:41.000 Right, they, like, moved in and they were like, door's locked, door's locked.

00:53:44.000 What was that, Dave?

00:53:44.000 I said it's called Indian giving.

00:53:46.000 Yes!

00:53:46.000 Oh, wow.

00:53:47.000 No!

00:53:47.000 It's the giving where you take it back.

00:53:50.000 It's redskin. 0.97

00:53:50.000 We know what it is, Gerald. 0.97

00:53:52.000 It's redskin. 0.97

00:53:53.000 It's Seinfeld.

00:53:54.000 Redskin theft.

00:53:57.000 It almost sounds worse.

00:53:58.000 Savages!

00:53:58.000 That's the word.

00:53:58.000 It almost sounds worse.

00:54:01.000 Savages.

00:54:01.000 That's the word.

00:54:03.000 There you go.

00:54:05.000 Sometimes if people are in doubt, I just go, blah, blah, blah.

00:54:08.000 You're referring to Fred and Ben.

00:54:10.000 Yes!

00:54:12.000 So now we have this.

00:54:12.000 Those are two counties in Michigan.

00:54:13.000 And by the way, there's always a fall person.

00:54:15.000 You notice that we talked about in Georgia.

00:54:17.000 Oh, two memory cards were found.

00:54:19.000 Someone just misplaced the memory card.

00:54:21.000 In Michigan, it was someone didn't update the software.

00:54:24.000 I don't really even know what their excuse is here in Oakland County.

00:54:28.000 We've heard several different excuses.

00:54:30.000 Just listen, just get over it.

00:54:31.000 The Democrat won, now the Republican won.

00:54:33.000 We're like, oh, okay, well, it seems like there might be some errors.

00:54:35.000 Can we go check out those 173,000 votes from zero-registered voters?

00:54:39.000 No!

00:54:40.000 You don't want anything about that.

00:54:41.000 Gonna waste your time, buddy.

00:54:43.000 Let's just go on and give Biden the election.

00:54:46.000 Their excuse is a van dropped them off, but it's camera equipment.

00:54:50.000 You're like, wait, no, I don't know if you heard me.

00:54:54.000 I'm wondering how all those votes got here, and you're like, yeah, yeah, it's a red wagon.

00:54:57.000 I think we're missing each other. 0.97

00:54:59.000 Oh, you're a racist, that's what you're saying.

00:55:01.000 Don't worry, we were able to see when the wagon was pulled in, and they brought it into the room, but then somehow the windows got very unseeable. 0.90

00:55:10.000 It's fine, reporters said it's all good.

00:55:12.000 Now, a lot of these glitches, as we've talked about across all of the states as we wrap up Fraud Week, and I'm getting very near the end of this now, Mikael Kelly-Garrett, is that the name?

00:55:21.000 I don't know how it's pronounced.

00:55:22.000 Mikael Kelly-Garrett worked as Dominion's project manager, okay, because we've talked about Dominion quite a bit.

00:55:28.000 Sidney Powell has said that there's blatant fraud.

00:55:30.000 The FEC chairman said, if Sidney Powell said that there's evidence, I believe her.

00:55:35.000 That's what he said, head of the FEC.

00:55:36.000 Lots of credibility.

00:55:37.000 He said that the day after you said that, though, just FYI.

00:55:39.000 Well, you know what?

00:55:40.000 Everyone's borrowing from my notes.

00:55:42.000 That's right.

00:55:43.000 Yo, backbenchers! 1.00

00:55:44.000 Yo, nothings! 1.00

00:55:45.000 Yo, jerks! 1.00

00:55:47.000 So, Mike Hale, Mikhail Kelly Garrett, she worked as Dominion's project manager. 0.96

00:55:52.000 He?

00:55:52.000 Is it a guy?

00:55:53.000 Is it a girl?

00:55:53.000 Kelly?

00:55:54.000 I have no idea.

00:55:56.000 Sometimes you guys need to understand, I mispronounce things or I misgender people.

00:56:00.000 Sometimes it's because it's funny, that's true.

00:56:01.000 And then sometimes it's because I read it and I'm reading an article and there's no picture and I've never actually heard anyone talking about it because who's going to talk about this stuff in the news?

00:56:08.000 No one's going to tell you about corruption.

00:56:09.000 Yeah, they don't talk about this.

00:56:10.000 So this person, let's call him Kelly Garrett, worked as Dominion's project manager, then worked at Michigan's Democratic Party headquarters and as the deputy director and is now mayor of Lathrop Village in Michigan.

00:56:21.000 Here's something important.

00:56:23.000 She helped broker a $25 million contract between Dominion and the state of Michigan while still serving as the vice chair for the Oakland County Democratic Party.

00:56:37.000 So when people talk about the swamp, when people talk about getting big money out of politics, how about someone who has $25 million at stake who's working for that company while currently sitting in office at the taxpayer's dime?

00:56:49.000 Isn't there some kind of a law against that?

00:56:51.000 Or is it like insider trading where it doesn't apply to guys named Newt?

00:56:56.000 I think Biden just issued a pre-executive executive order that said it was fine.

00:57:00.000 Oh, okay, good.

00:57:01.000 From the president-elect's office, maybe.

00:57:03.000 Yes.

00:57:03.000 This is the first time the president-elect is going to pre-pardon himself.

00:57:07.000 Brilliant maneuver.

00:57:09.000 Let's see how it works out for him, Cotton.

00:57:11.000 You know, they always said, like, Donald Trump is playing 4-D chess.

00:57:14.000 Joe Biden, he's playing eight X checkers.

00:57:22.000 I'm pardoned!

00:57:23.000 That doesn't work that way.

00:57:25.000 I was hoping you'd go along with it.

00:57:27.000 No, Joe.

00:57:29.000 Someone give me a scratch and sniff. 0.99

00:57:30.000 Trump is playing chess, but Biden is playing hopscotch.

00:57:33.000 Yes.

00:57:35.000 And I'd like to be playing Hungry Hungry Hippos if you want to later.

00:57:39.000 Well, you could do it with Frank Luntz. 0.99

00:57:40.000 He has stupid Seinfeld sneakers and toothpicks. 1.00

00:57:43.000 No, he's playing jump rope. 1.00

00:57:45.000 Let's hit the rhythm and the beat.

00:57:47.000 Let's hit the rhythm and the... Hat dog! 0.99

00:57:49.000 Remember that on Sesame Street?

00:57:51.000 They taught me how to play jump rope, and then I did it in Canada with a black accent, like the street part of Sesame Street, and I was immediately beaten up. 0.56

00:57:59.000 I learned how to do it from a little show called Amen.

00:58:02.000 Right when he walks up.

00:58:04.000 Double Dutch.

00:58:04.000 Amen to that.

00:58:06.000 Does that mean double cheap?

00:58:07.000 I don't know what it means.

00:58:08.000 Okay.

00:58:08.000 By the way, hit the notification bell if you're subscribed on YouTube, because subscriptions don't mean a whole lot.

00:58:13.000 We broadcast weekdays, 10 a.m.

00:58:15.000 Eastern, and of course the notifications will let you know when something goes up that's a special, like an election special, or if we go live.

00:58:22.000 And you can always go to livewithcutter.com just to check these sources.

00:58:24.000 That's probably your best place to stay in touch.

00:58:26.000 Now, let's go through a recap of the affidavits, okay?

00:58:30.000 Because this is important.

00:58:31.000 Having affidavits by themselves, it's basically a declaration under oath, right?

00:58:35.000 You are legally held liable for that if you make that declaration.

00:58:38.000 But we've seen some corroborating evidence now, just like we've seen some corroborating evidence for those electors saying, we're not going to certify this because of irregularities.

00:58:47.000 And now we just showed you why the irregularities are registered voters, 120 registered voters, 2000, 0, 0, 0, 0, 0, 0, 0, 0.

00:58:52.000 You're like, oh, this seems atypical.

00:58:58.000 The affidavits, one of the affidavits, this is in Michigan, it's 234 pages, I think.

00:59:05.000 That's a lot.

00:59:05.000 I don't know if this is on page 23 or something like that, but you guys can go read all of these affidavits on the website.

00:59:10.000 That ballots, someone reported that ballots were run through the machine five times, and it seems confirmed by some internal numbers.

00:59:18.000 We brought this from Twitter and we verified it where there have been ballots run one, two, three, four times.

00:59:24.000 That has been done.

00:59:25.000 How many times?

00:59:26.000 We don't know.

00:59:27.000 Where do the ballots come from?

00:59:29.000 Came from the pile of zero.

00:59:30.000 Somewhere over there.

00:59:33.000 Nothing to look in there.

00:59:34.000 It's called magic.

00:59:35.000 It's called magic.

00:59:37.000 Magic man.

00:59:39.000 There were ballots not in the voter database where they just entered a fake birthdate of 1-1-1900.

00:59:44.000 That's helpful.

00:59:46.000 Well, it's also helpful because they can say, well, see, people are trying to say their folks are 120 years old.

00:59:49.000 We just entered in this birthdate as a default date.

00:59:51.000 Why would you enter a default date 120 years old?

00:59:54.000 And also, why are you entering a default date at all?

00:59:57.000 Don't people here have birthdates?

00:59:59.000 Weren't they born?

01:00:02.000 In Michigan, it's usually a wild guess.

01:00:03.000 It's usually a wild guess.

01:00:04.000 I like how you can just identify as a 120-year-old.

01:00:07.000 It's just like, no, I want to identify as a person who was not born.

01:00:10.000 I just appeared.

01:00:13.000 A piece of data that would actually make it legal for you to vote or illegal?

01:00:16.000 We'll just guess.

01:00:17.000 It's not really necessary to get that one right.

01:00:19.000 I'm giving you an approximation.

01:00:21.000 Approximation of when they were born?

01:00:22.000 Yeah, call it 1900.

01:00:23.000 What makes you say that?

01:00:25.000 Because we have zero data.

01:00:27.000 There's no registered voters, so your guess is as good as mine.

01:00:30.000 How about we don't guess?

01:00:31.000 That'd be crazy.

01:00:32.000 Where are we going to get the 173,000 votes to win?

01:00:34.000 Maybe we shouldn't let them vote.

01:00:36.000 Yeah, maybe we shouldn't let them vote.

01:00:37.000 Well, little five-year-old Sally has to be able to vote somehow. 0.99

01:00:40.000 Voter suppression.

01:00:41.000 Five-year-olds not voting.

01:00:42.000 Just Sally, a lady named Sally, voting five times. 1.00

01:00:46.000 Ballots were logged even when they had no signature or they weren't registered.

01:00:50.000 These are all from the affidavits.

01:00:51.000 Poll workers duplicated ballots to incorrect precincts to run through two ballots for one person 20 to 30 times.

01:00:58.000 Now here's the thing, those are 3, 4, 5 that are from sworn affidavits that we don't have any corroborating evidence for.

01:01:10.000 But there are several already that we do!

01:01:13.000 Now keep in mind, same thing in Georgia, people said you'll never find any difference with a recount.

01:01:18.000 You'll never find any... maybe one, maybe... well, actually found over 5,400 new votes, the overwhelming majority of which were for Donald Trump.

01:01:26.000 And that wasn't a real recount.

01:01:28.000 That was a show recount.

01:01:30.000 Right?

01:01:30.000 That was political theater recount.

01:01:31.000 Imagine if we had done an actual recount.

01:01:34.000 Now, right here, people refused to certify because they don't have access to the data, and they were doxed and intimidated, and some teamsters showed up with a 2x4 with a nail through it, and they said, okay, we'll certify, we'll certify.

01:01:45.000 and then they said that they were intimidated to vote. Now we see some of these affidavits are

01:01:49.000 actually being confirmed, like ballots being run several times. Do we know that a city employee

01:01:54.000 has backdated ballots? How do you check this when you're talking about hundreds of thousands of votes

01:01:59.000 from a place with zero registered voters and you have no record? How could you?

01:02:04.000 How could you possibly test to see if it was a poll worker, a precinct worker, filling in that ballot or backdating it or filling in the signature?

01:02:14.000 Here's my question, Bill, is how could we possibly audit this at this point?

01:02:18.000 You go back and you count them all.

01:02:20.000 But that won't do anything!

01:02:21.000 You look at the ones that have the information, you compare them to the registered voter rolls.

01:02:25.000 Which you don't have.

01:02:26.000 Well, no, you have registered voter rolls, and you have the names on the ballots, but what they didn't do was bother to do anything to put the information that you would use to check.

01:02:37.000 So, for example, they're going to say, okay, let's say the answer was all of these people who voted, they're not registered voters.

01:02:43.000 Okay, well you know you can throw them all out, right?

01:02:45.000 Or you would say, oh, but they're not!

01:02:47.000 They are registered voters, but we just didn't check them to make sure.

01:02:50.000 How would you check them?

01:02:51.000 How would you have checked them in the first place?

01:02:52.000 It's not like the ballots come in and they don't have a name on them.

01:02:54.000 So you check the ballots against the existing.

01:02:56.000 That's what the board is saying.

01:02:57.000 They're saying, these results don't make any sense.

01:03:00.000 We need to do an audit.

01:03:02.000 Interesting though, we have 173,000 votes from no registered voters.

01:03:06.000 So what do you check it against?

01:03:07.000 How do you find if it's an authentic signature if you don't have them on record?

01:03:10.000 Well, you're right on that point.

01:03:12.000 My thing is there's only two ways to go about it.

01:03:14.000 Either the ballots are not registered voters and then there's nothing to check.

01:03:18.000 They're just off.

01:03:19.000 You throw them!

01:03:20.000 Or, they are registered voters that the system failed to connect with an actual registered voter, and an audit would reveal whether or not those were, again, either real registered voters or not real registered voters.

01:03:29.000 And the Canvas board is saying, guys, this is the only way to check it!

01:03:33.000 This is the only way to think!

01:03:34.000 We cannot certify!

01:03:35.000 And they were bullied into saying that.

01:03:36.000 But you would have to throw out hundreds of thousands of votes.

01:03:38.000 You'd have to throw out those votes where there's no one registered voters.

01:03:40.000 If they were registered voters, how would you check, though, when you Canvas, how would you check to see if a city employee backdated the ballot?

01:03:45.000 Seems to me there'd be no way to do that.

01:03:46.000 Well, some of those things are the major problems that you would not be able to.

01:03:49.000 So, for example, when the ballot comes in and you stamp a certain date on it, you can't tell, unless somebody had a video that showed what the ballot was and the person stamping it, and the video had a timestamp, you wouldn't be able to know whether it came in on time or not on time.

01:04:02.000 But the issue of registered voters is one where if you have the ballot and it has the name, is it matched?

01:04:08.000 But the backdate ballots, you're saying we would need videographic evidence.

01:04:12.000 We need the state government to seize those red flyer wagons.

01:04:16.000 Yes.

01:04:17.000 Hand it over, hand it over.

01:04:19.000 Share and share alike.

01:04:20.000 Yeah, I don't know.

01:04:21.000 The thing is, at this point, like you're saying, with those, God knows how many of them could have been backdated.

01:04:25.000 This all happened in the dead of night and the precinct was boarded up.

01:04:31.000 You just have to, you either, there's no, you cannot trust this vote in Michigan.

01:04:35.000 You either have to do a re-vote, you'd have to toss so many votes, and then there are votes that you can't verify anyway.

01:04:42.000 There's no possible way.

01:04:43.000 This is a quagmire.

01:04:45.000 I just don't think that the Michigan election is illegitimate.

01:04:50.000 There's no way to trust it right now and I don't know if there's any way to certify it because A. no one in the legislature wants to look into these numbers.

01:04:57.000 No one in the media is asking for these numbers.

01:04:59.000 It was shocking to everyone here.

01:05:01.000 I saw you all hanging with your mouths open like you're in a Disney film and Bugs Bunny just turned into a lady bunny and I know that I'm mixing Warner Brothers and Disney but shut up Star Wars nerds.

01:05:09.000 Go watch Mandalorian. 0.98

01:05:11.000 My point here is Elmer's butt is thirsty. 0.95

01:05:13.000 This is something is illegitimate. 0.99

01:05:17.000 I don't see any solution to it beyond throwing it out.

01:05:20.000 Well, you have to take an extraordinary step because you can't say, oh, we did this, but then we mix them all together so you can never undo it.

01:05:27.000 So you just have to take the vote.

01:05:28.000 No, you have to take whatever extraordinary step that is necessary to say we get to the right number.

01:05:32.000 And by the way, it seems like states are trying to be worse than the state before.

01:05:35.000 Like Arizona's like, oh, we're not done counting it.

01:05:36.000 We're the slowest.

01:05:37.000 And Georgia's like, hold my beer. 0.92

01:05:38.000 We haven't even found all our votes yet.

01:05:40.000 right to get the middle of the box and i had to be there is a lot of work

01:05:44.000 there's a single on along don't rush me

01:05:47.000 it's a good time to let me know if you did for that we had a head and seventy three thousand four seconds yeah

01:05:54.000 i mean it's a lot of red flag you doing i'm i'm not sure you mean by illegitimate

01:05:58.000 vote but i would say that there is a process by which we can determine

01:06:01.000 illegitimate election or and i don't know i don't know what you mean by a

01:06:04.000 legitimate election but i would say to the point where you have a number of processes that need to be done.

01:06:10.000 I'm not saying I'm right!

01:06:13.000 I guess what I'm saying is I'm not ready to say that the entire state of Michigan and all of their votes need to be just discounted because that doesn't make any sense.

01:06:19.000 I think you need to re-vote.

01:06:21.000 I think you need to re-vote and have some actual safeguards in place.

01:06:23.000 You can't have poll workers, and you have zero registered voters, and 170,000 votes coming in in the dead of night, 97% of which are for Joe Biden, and no one is checking it, and people are being doxed, and they're saying the only reason that we had to rescind our statement that we weren't going to certify is because we're afraid for our families, and then you have in the primaries 800 people who voted who were dead, and they're not even running this the same way in the primaries, and they're not even fixing it from the primaries, they're making it worse.

01:06:48.000 I don't know how you trust it.

01:06:49.000 Well, there's no re-vote option.

01:06:51.000 There's not an option to re-vote.

01:06:53.000 But then you toss the entire state and you go to every person, Republican or Democrat, and you say, we're just going to ignore it.

01:06:59.000 But there is a process that will reveal the fraud to the extent of where these lack of registered voters are, or are they not registered.

01:07:06.000 And you're right.

01:07:07.000 This is the normal process.

01:07:08.000 The courts will go and say, hey, if the way people were taking these in was backdating them, and we have evidence that shows that they were being backdated, you take that lump of balance and you Well, my point is you can't prove it.

01:07:20.000 There can be no evidence, like you said, unless someone was there with a Nikon going, oh, oh, they're backdating it.

01:07:25.000 So the stuff that we do have is bad enough where there's new registered voters.

01:07:29.000 They've been asked.

01:07:30.000 No one's answering for it.

01:07:31.000 And then there are things that you can't prove.

01:07:32.000 I mean, the electors are the ones who certify the election.

01:07:35.000 I think it has to go to them.

01:07:36.000 That's what happens when it's based on fraud.

01:07:38.000 And I think this is so severe in Michigan, more than any other state.

01:07:43.000 Because again, it also just doesn't pass the reason test when you look into how red these counties are and how some of them switched, some of them didn't.

01:07:50.000 And then the county where we were most curious, especially because we wanted to see how Donald Trump performed in the inner city of Detroit with the black vote, because the early polls showed that he was up like 30-something percent, had a 48% or 46% approval rating with black voters, if only as a case study to see what would happen, to see how much progress Donald Trump has made for black voters in the Republican Party.

01:08:10.000 We have none of it!

01:08:11.000 And the lies don't even make sense.

01:08:13.000 If you look at all the other data, you would have to say that these certain precincts, and not even all the precincts, just the absentee votes go against all the data in every other precinct, in every other county, in every other state that did the elections.

01:08:27.000 And throughout history, by the way.

01:08:29.000 Throughout history. 1.00

01:08:30.000 You didn't even know whether it was stupid or not stupid. 1.00

01:08:31.000 You didn't even know it existed. 1.00

01:08:32.000 Right.

01:08:33.000 So that was the point. 0.99

01:08:34.000 Sometimes the most blatant lies are stupid once you see them, but the point was you were 0.99

01:08:38.000 never going to see them. 1.00

01:08:39.000 You were never going to know they were there.

01:08:41.000 But then once you see them, you're like, oh, so obvious now.

01:08:43.000 But how many weeks has it been?

01:08:44.000 And no one has pointed this issue out.

01:08:45.000 And that's the fault.

01:08:46.000 That's the fault of the, obviously, the leftist media.

01:08:49.000 There's no level of fraud.

01:08:50.000 Well they just assume that everybody's going to look at it like that.

01:08:53.000 Right.

01:08:53.000 Well there's no level of fraud because when there was the 128,000 typo in Wisconsin, this is more severe by the way, and we were messaging that, what's his name, Pete Bump, whatever it was, something Bump, Phillip Bump at the Washington Post, he said, well that came in from a Biden county.

01:09:06.000 We found out it was a typo, they actually added a zero.

01:09:09.000 Right.

01:09:10.000 But at that moment in time, they just said, well who cares, that's normal.

01:09:13.000 They weren't willing to investigate A hundred thousand blip.

01:09:16.000 And what I'm saying is this is actually more severe than the typo, and no one cares.

01:09:20.000 And so conservatives are at fault too, though.

01:09:22.000 The leftist media, they know that you are not going to be doing any digging.

01:09:27.000 That's why you watch them when you're in an airport on a layover.

01:09:32.000 But the people on the right, and this is what also bothers me sometimes, is they give you red meat, and they want you to rah-rah, yeah, voter fraud.

01:09:38.000 And I've seen some people share these videos that are really bad on the algorithmic voter fraud.

01:09:44.000 One of them was from Dr. Something, and it's this graph, and it's been shared to me.

01:09:47.000 And listen, it's dishonest, and it's using statistics to mislead people. 0.59

01:09:51.000 So what you have is the left wing keeping it completely silent, and then you have people on the right not actually doing the digging.

01:09:59.000 And so here you are.

01:10:01.000 This shouldn't be the first place you're hearing from.

01:10:03.000 You should hear this everywhere.

01:10:04.000 You should hear it on every major AM radio show.

01:10:06.000 You should hear it on every major conservative podcast.

01:10:08.000 You should be certainly hearing it on Fox News and CNN.

01:10:10.000 The fact that we are doing it, we're doing these research... Did we... Is there something going on?

01:10:13.000 Did we lose a stream or something like that?

01:10:14.000 Uh, we just dropped 10,000 people.

01:10:17.000 Oh, really?

01:10:17.000 Okay.

01:10:18.000 Just randomly gone.

01:10:19.000 Alright.

01:10:20.000 The algorithm.

01:10:20.000 By the way, this is a good opportunity as any to say, hey, please do follow us on Parler.

01:10:25.000 Because Facebook, YouTube, we never know when those walls are going to close in like whatever the first Star Wars was.

01:10:32.000 I have no idea.

01:10:32.000 Is that the garbage chute?

01:10:35.000 So yes.

01:10:36.000 So we have to go to Nick DiPaolo on Mug Club after this.

01:10:39.000 But first, there's a video making the rounds.

01:10:42.000 What's the company?

01:10:43.000 Cut?

01:10:43.000 Cut.

01:10:44.000 And what's the name of the video?

01:10:45.000 It's What Are White People Superior At? 1.00

01:10:48.000 Yeah.

01:10:49.000 Is it Superior At?

01:10:50.000 Superior At.

01:10:51.000 That's actually the title.

01:10:52.000 I believe so, yes.

01:10:53.000 Well, uh, listen.

01:10:55.000 I don't want to start a race war, but titling. 0.52

01:10:58.000 Hmm.

01:10:59.000 Um, grammar.

01:11:00.000 So, here's the thing.

01:11:01.000 This, I want to be clear, by the way, trigger warning, this video is incredibly racist.

01:11:06.000 The fact that it's still allowed on YouTube is mind-boggling to me.

01:11:10.000 It's just a bunch of, uh, mostly black people and then some kind of Shapeshifters, I don't know.

01:11:17.000 Who knows? 0.75

01:11:18.000 Non-racially, non-racial binary, berating white people. 0.78

01:11:23.000 No, didn't you find out, I think it was Harvard recently, that Asians aren't actually people of color.

01:11:26.000 That's right.

01:11:28.000 Yeah.

01:11:29.000 You lost.

01:11:29.000 Welcome to the world of privilege, my friend.

01:11:31.000 It's really more of a shame.

01:11:32.000 I think I married a Mexican.

01:11:35.000 There's still hope for your children.

01:11:36.000 So this is on YouTube, of course, and this was featured there on the YouTube page.

01:11:40.000 You know nothing about this.

01:11:40.000 And I told Dave, because, you know, he works with... I said, like, it's a racist video, and there are some third rails, because I don't think that we could respond in exact kind.

01:11:50.000 And let me be clear, I don't believe anything they're saying, just like I wouldn't believe these stereotypes if they were to be uttered about black people.

01:11:59.000 Um, but this is the video, we are all going to react to the video from Cut, featured on YouTube, titled, What Are White People Superior At? 0.92

01:12:11.000 What exactly are white people superior at?

01:12:13.000 Oh, according to television, everything. 0.89

01:12:15.000 A white man can fly, even a white woman, she can be 4'1", she can do karate, she can take down 15 people. 1.00

01:12:23.000 Okay, pause.

01:12:24.000 What's a fox?

01:12:25.000 Pause really quickly.

01:12:26.000 What's a fox?

01:12:27.000 Are there no black superheroes?

01:12:29.000 Yeah, there's definitely a lot.

01:12:31.000 That's what I call evidence!

01:12:32.000 Check your sources! 1.00

01:12:34.000 White people cannot fly! 1.00

01:12:38.000 D.C. 1.00

01:12:38.000 is not a... it's not a bibliography! 1.00

01:12:40.000 Like, this is... Well, that's what it was.

01:12:42.000 It was, according to your imagination, they can fly.

01:12:46.000 Right, according to fake... And she has something against short white people? 1.00

01:12:50.000 According to your imagination, you can vote nine times in Detroit.

01:12:53.000 So we all have... I'm 5'5".

01:12:55.000 I can barely get out of bed from depression.

01:13:00.000 All right, let's keep going.

01:13:01.000 Just doesn't get any better.

01:13:02.000 No one said what a fox is.

01:13:03.000 They don't really do karate.

01:13:05.000 They don't really know martial arts.

01:13:07.000 They're called actresses. 1.00

01:13:08.000 It's called a movie.

01:13:09.000 Kind of like how Foxy Brown was.

01:13:11.000 Yeah, exactly.

01:13:12.000 This is not a new thing.

01:13:12.000 Do we have it?

01:13:13.000 Can you have it?

01:13:13.000 All right, let's continue playing.

01:13:16.000 What are white people superior at? 0.90

01:13:21.000 Man. 0.89

01:13:23.000 Are you?

01:13:26.000 Is this a white person asking this?

01:13:29.000 Sounds like it.

01:13:31.000 Oh god. 0.78

01:13:32.000 What are white people's superior- I don't know what that is. 0.99

01:13:36.000 She should be banging a drum in Nick Sandman's face. 0.99

01:13:38.000 Mostly about their pets. 0.99

01:13:39.000 White people love they dogs. 0.97

01:13:41.000 That's all you see. 1.00

01:13:42.000 What a crime.

01:13:43.000 Letting them get on your countertops while you're cooking.

01:13:45.000 That is a crime.

01:13:46.000 Yes.

01:13:46.000 I get that you love your pet, but do you need to take it everywhere?

01:13:49.000 Like everywhere?

01:13:50.000 I guess, you know, hey.

01:13:52.000 Just to the bathtub you electrocuted in.

01:13:57.000 What kind of casserole?

01:13:59.000 Tuna.

01:13:59.000 It's always tuna.

01:14:00.000 What do you mean it's always tuna?

01:14:05.000 Pause, pause, pause.

01:14:07.000 That's Black Dane cook humor. 1.00

01:14:09.000 And that it's something that's totally unrelatable.

01:14:11.000 Like, listen, listen. 1.00

01:14:13.000 Everyone here knows that white people always eat fucking tuna. 1.00

01:14:18.000 They eat the tuna, they walk in, they grab the tuna, they put it in their mouth. 1.00

01:14:21.000 They can't get enough tuna when they're white.

01:14:25.000 I am white, I have never had a tuna casserole, ever.

01:14:29.000 Ever. 0.94

01:14:30.000 I was like, what are black people superior at? 1.00

01:14:33.000 Watermelon? 0.98

01:14:35.000 First off, it's like, Dave Chappelle asked, maybe black people do like certain foods, and I'm sure white people do like certain foods.

01:14:41.000 Yes, of course.

01:14:42.000 The difference is white people can be Irish, they can be Italian, they can be German, so they can like Wienerschnitzel, they can like pasta, they can like... 0.84

01:14:47.000 Potatoes and haggis if they're Scottish, I have no idea.

01:14:50.000 We all have preferences, but tuna casserole is not a white thing!

01:14:53.000 No.

01:14:54.000 No.

01:14:54.000 We're not superior.

01:14:55.000 I don't know if... Tuna eats star-kissed bitch! 1.00

01:15:01.000 I mean, look, I'm Asian from the waist up and I love tuna. 0.99

01:15:04.000 It is white fish!

01:15:05.000 Asian mouths love tuna. 1.00

01:15:07.000 Man, you're stupid! 1.00

01:15:09.000 Chicken of the sea? 1.00

01:15:09.000 Is that shit chicken? 1.00

01:15:11.000 Or is it tuna? 0.99

01:15:12.000 I'd eat fried and I was like, this ain't no chicken.

01:15:14.000 This ain't no chicken!

01:15:17.000 Oh, tuna?

01:15:18.000 Oh, that's white people food. 0.95

01:15:19.000 I ain't never gonna eat no moth. 0.97

01:15:21.000 I'm gonna spit it out on the cat on the counter.

01:15:24.000 Alright, let's keep watching.

01:15:26.000 Why do you pet your dog?

01:15:27.000 Why don't you hit it?

01:15:30.000 Phil's like, why don't you eat it?

01:15:33.000 It is just strange.

01:15:34.000 Really, Gerald?

01:15:35.000 He has, he's experimented.

01:15:37.000 You know what I actually do?

01:15:40.000 We may not be better at much, but at least give us not littering. 0.99

01:15:45.000 No, white people are terrible at littering. 0.98

01:15:48.000 That's why the entire state motto of Texas is, don't litter here. 0.99

01:15:52.000 Well, that's why there's not litter, though.

01:15:53.000 They're like, ah, you're right.

01:15:55.000 No. 0.93

01:15:57.000 Yeah, I will say, white people are better at listening. 0.93

01:16:01.000 They are better at following instructions. 0.70

01:16:03.000 You tell them not to litter, they don't litter. 1.00

01:16:05.000 You tell them, motherfucker, don't burn down Walgreens, it makes me kind of want to do it. 1.00

01:16:09.000 Let's continue. 1.00

01:16:11.000 Of course, this is all in good fun. 0.64

01:16:12.000 They're the racists.

01:16:14.000 It's in a lot of their recipes. 0.98

01:16:16.000 Making bland food.

01:16:17.000 Unseasoned chicken.

01:16:18.000 How are you going to start whole spice wars and don't even use seasoning on your food?

01:16:22.000 Okay, hold on.

01:16:23.000 What?

01:16:23.000 Pause.

01:16:23.000 Is he talking about the West Indian training camp?

01:16:25.000 First of all, Bob Evans has a fine flavor.

01:16:30.000 I'm not buying any of this.

01:16:32.000 Come on, guys.

01:16:33.000 I mean, for crying out loud, think about Hot Wings.

01:16:36.000 I don't know if that's a white... That was two guys in Buffalo.

01:16:39.000 What are they talking about?

01:16:41.000 I'll give it to them. 0.93

01:16:42.000 I would still say it's a black food. 0.52

01:16:44.000 Okay.

01:16:45.000 I mean, they've appropriated it.

01:16:46.000 I hate that they're even talking about it.

01:16:49.000 The whole beauty of America is you can be black and eat pasta.

01:16:52.000 You don't have to be an old-time Guinea. 1.00

01:16:54.000 You can eat You can eat chicken wings and be white or you can be black. 0.62

01:16:58.000 You can eat Irish stew and be white or black.

01:17:03.000 You are separating all of us on things that A, don't even matter and aren't even true. 0.98

01:17:08.000 So we're going to continue teasing you at the level at which you actually are a racist,

01:17:13.000 but in gentle prodding. 0.69

01:17:14.000 Let's see more.

01:17:17.000 Smelling funky.

01:17:18.000 Santa Claus.

01:17:19.000 What?

01:17:20.000 Smelling funky.

01:17:21.000 Corn mazes.

01:17:22.000 White people are great at having fun. 0.55

01:17:24.000 That's a function of white supremacy because they just don't have as many stresses as we do. 0.91

01:17:29.000 White people have a tendency to hear that as... 0.98

01:17:29.000 Having fun is racist! 0.98

01:17:31.000 Yeah, hold on a second. We don't have...

01:17:32.000 Pause. Pause.

01:17:33.000 White people, that's a fun... 1.00

01:17:34.000 White people have fun, it's a function of white supremacy, because they don't have as many stresses. 0.98

01:17:39.000 Paying taxes? 0.86

01:17:41.000 I mean, listen, employing people, not saying that black people don't pay taxes, but there's a significant portion of white and black people who don't pay taxes.

01:17:48.000 You're saying white people don't? 0.74

01:17:49.000 47% of Americans don't pay federal income tax.

01:17:52.000 Did I see the wrong house party?

01:17:56.000 You can tell by the haircut.

01:17:58.000 I am so... like, I can't... I'm, like, seeing red hair.

01:18:03.000 Well, that's... why would you see red?

01:18:04.000 You don't have any stresses.

01:18:06.000 Oh my gosh.

01:18:08.000 Insane. 1.00

01:18:09.000 Would I think to be in... You smell like wet dog. 1.00

01:18:14.000 One man's funk is another man's... You got that white man funk. 0.94

01:18:17.000 Funky, it is funky.

01:18:18.000 Yes, you do smell funky.

01:18:20.000 Think about how racist that gentleman in the mask has to be to have accused every other person of color of being unable to or at a severe disadvantage of having fun.

01:18:30.000 I'm going to tell you right now, trade me spots with Kanye.

01:18:33.000 Just do it.

01:18:34.000 I don't care. 0.99

01:18:34.000 I'll take all the shit about running late to even apply for an election. 0.99

01:18:38.000 I will take it. 0.99

01:18:38.000 Give it to me. 0.99

01:18:39.000 I would even switch and be Beyonce.

01:18:42.000 Give that to me.

01:18:42.000 That is fine.

01:18:43.000 It's obviously just dog whistles.

01:18:46.000 What do you mean?

01:18:47.000 And also, that's one thing I always said. 1.00

01:18:48.000 They're like, white people, aw, you're so lame and uptight you can't dance. 1.00

01:18:51.000 Like, listen, I would assume, yeah, black people do have more fun. 1.00

01:18:53.000 I go to a black nightclub and it's bouncing. 0.98

01:18:54.000 You go to a white club, they're line dancing. 1.00

01:18:56.000 Everyone looks miserable. 1.00

01:18:57.000 They're just like, kill me! 1.00

01:19:00.000 Please! 0.99

01:19:02.000 I can't deviate from this awful preset of moves that nobody enjoys! 0.99

01:19:07.000 You go to a gay nightclub, there's a white shooter having no fun at all. 0.99

01:19:11.000 Oh my god. Too far. To be fair, no one else was empowering themselves. Yeah. So, but then this idea... 1.00

01:19:23.000 Oh, man. No, no stress.

01:19:25.000 Why didn't you give me something to break over here?

01:19:31.000 White people have no stressors. 0.95

01:19:32.000 You say that the next time a country music festival becomes the worst mass shooting in American history. 0.99

01:19:39.000 It was white people and Hootie. 0.59

01:19:42.000 And an Asian girl. 0.73

01:19:43.000 I forget his name now.

01:19:44.000 Darius Rucker?

01:19:45.000 That's it.

01:19:46.000 He'll always be Hootie to me.

01:19:47.000 I wish we had still forgotten it.

01:19:49.000 Let's make him cry.

01:19:49.000 Oh, right.

01:19:50.000 Let's continue with the ra- Thanks, cut!

01:19:53.000 We do not have the privilege to do whatever and however we want to.

01:19:58.000 What exactly are white people superior at?

01:20:00.000 Uh, not getting arrested.

01:20:02.000 Okay, pause.

01:20:02.000 I was driving down the street with a guy down the highway with a friend of mine who was white

01:20:06.000 And he's like I need to I'm just want to pull over and pee and I'm in the passenger seat 0.86

01:20:10.000 I was like, please don't because a black man thinks differently if I pull over to the side of the road and pee 0.97

01:20:14.000 a cop is Gonna be right behind me to punish me 1.00

01:20:17.000 Okay, pause insecure That may or may not be true

01:20:23.000 but First off anyone can be punished for peeing in the side of

01:20:28.000 the road, right?

01:20:29.000 I know someone who had to become a registered sex offender for peeing in a park at night when he thought no one was there.

01:20:36.000 And that's why you can look through the archives.

01:20:38.000 I think if you just type in if YouTube searches are working right now, which probably not after this video.

01:20:42.000 If you type in Steven Crowder pee instructions, I taught people how to pee while driving on a long road trip.

01:20:49.000 The key is you have to be all the way over in the white lane and a wide mouth Gatorade bottle.

01:20:54.000 In other words, it's not lost on me that the fuzz could take me down for public urination.

01:21:00.000 So you're just out of touch.

01:21:02.000 Did you say the white lane?

01:21:03.000 The what lane?

01:21:04.000 I thought he said white lane.

01:21:05.000 He's like, you gotta be in the white lane, because if you drive in the white lane, they don't pull you over.

01:21:09.000 Here's the thing, if you're driving right, you gotta be, here's the thing, you have to be all the way over in the right lane, okay?

01:21:13.000 You have to hold your arm here so no one can see, because if, right the passenger side here, if I'm this far, doesn't matter what I'm doing, look, you can see it, it's like a Dave Landau sex tape.

01:21:22.000 My strong preference is, as you recall, one of the few rules is that you not admit to crimes on the show.

01:21:27.000 Being while driving is not a crime.

01:21:29.000 Yes, it is.

01:21:30.000 Well, allegedly, I had a tube.

01:21:34.000 Continue.

01:21:35.000 I don't want to know where that was.

01:21:36.000 Play the video.

01:21:37.000 Long drive catheters.

01:21:39.000 Hey YouTube, take this out of context.

01:21:40.000 I need fear.

01:21:41.000 Being fearful of nothing. 0.99

01:21:43.000 Being ignorant. 1.00

01:21:44.000 Whoa! 1.00

01:21:45.000 Letting their egos control their every move.

01:21:47.000 Privilege.

01:21:48.000 Privilege. 0.77

01:21:49.000 Killing victimized. 0.93

01:21:50.000 Playing the victim. 1.00

01:21:51.000 Congratulating themselves over shit that they're incompetent at. 1.00

01:21:53.000 What? 1.00

01:21:54.000 Or that should have already been done. 1.00

01:21:55.000 They're superior at being dicks. 1.00

01:21:57.000 What exactly are white people? 1.00

01:21:58.000 Okay, wow, wow.

01:21:59.000 What am I just a new- Okay, look.

01:22:01.000 Let's take this- Hey, YouTube, take this out of context. 1.00

01:22:04.000 Black people are only superior at being dicks. 1.00

01:22:08.000 Now, I hope that's taken out of context, so you can now scan 30 seconds in either direction. 1.00

01:22:13.000 That is the definition of racism.

01:22:15.000 We've gone past differences like, they smell different.

01:22:18.000 Listen, I think we'll all acknowledge that you have certain people from different races smell different. 1.00

01:22:22.000 Different people from different areas of the country smell different.

01:22:25.000 Different people like different foods.

01:22:26.000 I don't think that's racism to recognize differences.

01:22:29.000 I think racism is believing that one race of people is superior to another solely because of their race. 1.00

01:22:36.000 And I think saying, white people, all white people, in general, are dicks, pejorative, qualifies. 1.00

01:22:43.000 You racist bitch. 1.00

01:22:45.000 Not in general, all white people are superior at being dicks. 1.00

01:22:50.000 And tipping. 1.00

01:22:55.000 I mean look, that's a true statement. 0.98

01:22:59.000 If being dicks was a true statement, then maybe it would not be racist, but it is racist because it is not true. 0.98

01:23:06.000 Oh my gosh! 0.98

01:23:06.000 Of course. 0.98

01:23:07.000 There are seven, maybe eight percent of the white population that is not dicks. 0.98

01:23:11.000 That's true. 0.99

01:23:12.000 I mean, none of them are here, but... No, I know at least two or three white friends that I have that aren't dicks. 0.98

01:23:17.000 Yeah, this room would not be a good sample. 0.98

01:23:19.000 Yeah.

01:23:20.000 No, look, and I know white people that, you know, they'll tip, you know, maybe 12 percent. 0.70

01:23:24.000 Yeah, his name is Bernie Sanders.

01:23:26.000 All right, let's continue.

01:23:26.000 Yeah.

01:23:28.000 The key is to round down!

01:23:31.000 Right.

01:23:32.000 Aspiring lack of empathy.

01:23:34.000 Intellectualizing oppression.

01:23:35.000 Did I say oppression?

01:23:36.000 They're just creatively thinking of new ways of like always staying one step ahead of other

01:23:41.000 people.

01:23:42.000 We get rid of slave catchers, then let's just expand the police force. 0.93

01:23:45.000 Like, that stuff to me is wild.

01:23:48.000 What exactly are white people?

01:23:49.000 Can we pause?

01:23:50.000 Can we pause?

01:23:52.000 You guys are pulling a prank on me.

01:23:53.000 This is all one big glorified ad for Spirit Halloween costumes.

01:23:56.000 It's gotta be.

01:23:57.000 Look!

01:23:59.000 We got Predator!

01:24:00.000 We got Mid-Century Farmer!

01:24:02.000 In all sizes!

01:24:04.000 We got, we got, we got... Take a guess?

01:24:07.000 I mean, we got Girl from the Craft, but... 0.99

01:24:12.000 You mean the one from American History X who's really gummy and shit? 0.99

01:24:15.000 Yeah, look at this collar. 1.00

01:24:18.000 We paid that bitch scale! 1.00

01:24:20.000 This collar will fit a whale. 0.99

01:24:24.000 Also something you privilege you get to whale in.

01:24:27.000 I ain't never been whaling.

01:24:29.000 You want a Pharrell almost sombrero hat?

01:24:34.000 This is the worst thing!

01:24:37.000 I was wondering if this was real.

01:24:40.000 This is absolutely real.

01:24:42.000 100% real.

01:24:42.000 Is it really?

01:24:43.000 Yeah, and they're all in Biden's cabinet.

01:24:45.000 Let's continue watching.

01:24:48.000 I believe that we don't matter.

01:24:50.000 Believing that they're superior.

01:24:52.000 Feeling superior.

01:24:52.000 Thinking they're superior.

01:24:53.000 Thinking that they're superior. 1.00

01:24:56.000 Like if someone called all black people dicks? 1.00

01:24:57.000 Self-delusion, controlling the narrative. 1.00

01:24:59.000 Believing their own press.

01:25:00.000 Marketing of white superiority. 0.98

01:25:02.000 Whether you are Republican or Republican, whether you're conservative or black, white people are really good at upholding white supremacy. 0.98

01:25:09.000 How about claiming that, you know, they are actually a whole separate race, when actually, white DNA comes from the black female. 0.97

01:25:15.000 Then what are we arguing about?

01:25:16.000 Can we pause?

01:25:18.000 How many people here do we think voted for Biden, a white man?

01:25:22.000 97%.

01:25:23.000 They were voting Kamala.

01:25:26.000 I bet you find more votes for Donald Trump in this cast than in Wayne County.

01:25:33.000 But how many more registered voters, probably?

01:25:37.000 Take the number of the cast and then subtract zero.

01:25:40.000 I mean, just, we know for a fact that this violates every social media platform's stated guidelines.

01:25:47.000 Oh yeah, remember how we were looking?

01:25:49.000 As you know, it's not that we have been archiving this.

01:25:52.000 This is one to save.

01:25:53.000 Uh, yeah, there's a thousand of them.

01:25:55.000 Yeah, we have a lot of them, but I don't think anyone has been this bad.

01:25:58.000 This is the top of the list. 1.00

01:26:00.000 Shut up, you Chinese piece of shit! 1.00

01:26:01.000 Yes. 1.00

01:26:02.000 I am still in a cheatin' manipulation with my dingus.

01:26:09.000 I just cut away.

01:26:10.000 We were just looking, looking, looking for the gods of Seriously, just imagine it.

01:26:13.000 People get mad because I go, what is this horse?

01:26:15.000 No, I thought YouTube was going to crash through the ceiling like White Superman and be like, you demonetized! 0.99

01:26:20.000 You Chinaman prick! 1.00

01:26:25.000 I don't know. 0.99

01:26:25.000 We already got a move for fact-checking. 0.99

01:26:29.000 People get mad, they say it's offensive.

01:26:31.000 It's funny, we've had these conversations with some random people at some point who may or may not, and they're like, do you constantly have to refer to your lawyer as half-Asian?

01:26:41.000 That's the point, right? 0.99

01:26:43.000 But that is considered more offensive than just all white people are dicks. 1.00

01:26:48.000 Well, I come from a black woman. 1.00

01:26:50.000 Yes!

01:26:50.000 We all do.

01:26:51.000 We all do.

01:26:52.000 I do think it is incredibly ironic to say, there's no race, but you came from this race. 0.99

01:27:02.000 It's like, wait, I just thought we just, in just literally a half sentence earlier, you said there's no race.

01:27:08.000 Race is a figment of your imagination. 1.00

01:27:10.000 Oh, I guess if you want to, and fuck you, white boy. 1.00

01:27:14.000 I'm confused. 1.00

01:27:16.000 It's like that old test when you look at the dress, do you see a yellow, a gold dress or a black dress?

01:27:21.000 These people just want to burn it. 0.54

01:27:23.000 Yes. 0.88

01:27:25.000 And by these people, I mean these people in this video who are racist.

01:27:31.000 I mean this cut clan rally.

01:27:34.000 I wonder how goaded they are too by the white person with their guilt that put this video together and edited it.

01:27:41.000 Yeah.

01:27:42.000 Because that's what it feels like.

01:27:43.000 Did any of them feel oppressed that it was a white person that asked them to do this?

01:27:47.000 I don't know.

01:27:47.000 That it's a white person behind the camera?

01:27:49.000 That it's a white person that owns this company?

01:27:51.000 I don't think we have the full video, but at the end of it, actually, you hear kind of like talk soup.

01:27:56.000 You hear a slow clap from the producer, and it's just David Duke.

01:27:59.000 Yes.

01:28:01.000 All right, let's keep watching.

01:28:02.000 How much longer?

01:28:02.000 Is it another...

01:28:03.000 About a minute, two minutes.

01:28:04.000 Okay, a minute.

01:28:04.000 Two minutes?

01:28:05.000 All right, let's get into this.

01:28:05.000 Who kind of lies?

01:28:06.000 The lies of history.

01:28:06.000 They say that history is written by the victor, but the victor could be replaced by the colonizer.

01:28:08.000 What are white people superior at?

01:28:09.000 Conquering. 0.53

01:28:09.000 Imperialism. 0.53

01:28:10.000 Imperialism and colonization.

01:28:28.000 Imperialism and It's a bunch of white people who committed two billion dollars in damage right now with these Black Lives Matter riots. 0.98

01:28:47.000 I mean, there were a lot of white Antifa people. 0.57

01:28:48.000 There were some white Antifa people, but it was Black Lives Matter riots.

01:28:53.000 So if you're going to blame us for all the evils of white people, Does the label Black Lives Matter take responsibility for the crimes committed at the Black Lives Matter rallies, even though there were some white people there?

01:29:04.000 I'm just saying. 0.96

01:29:05.000 I rarely see a powdered wig during a home invasion.

01:29:09.000 I'd love to blame the settlers.

01:29:12.000 It's like all of their references for white people, like old Cagney films.

01:29:16.000 Well, they said... Yeah, listen, see?

01:29:18.000 I'm gonna take your stuff, sonny.

01:29:19.000 Don't call the coppers, see? 0.96

01:29:20.000 They won't trust you because you're Negro, right? 1.00

01:29:23.000 Well, they said they got rid of slave catchers and brought in the police.

01:29:26.000 I'm like, I don't know if we're thinking the same thing here.

01:29:29.000 Yeah, well, that's their argument.

01:29:30.000 Police is the modern-day slave force.

01:29:32.000 But where's the most highest levels of police brutality?

01:29:35.000 Where are the highest levels of black crimes and jailing for crimes and arrests?

01:29:40.000 They're in Democratic-controlled cities that have, for the large part, been controlled by minorities, both as chief of police, mayors, city council.

01:29:47.000 Don't get me started on the fact check.

01:29:48.000 You know that the average is skewed by Kamala Harris. 1.00

01:29:51.000 She put in more black stripes.

01:29:53.000 She's like Rudy Giuliani in Reducing Crime.

01:29:55.000 She put in so many non-violent black offenders behind bars that it skews the numbers. 0.80

01:29:59.000 It's not fair.

01:30:00.000 Hey, that was the past and the present now.

01:30:02.000 She is no longer in charge of... Oh. 0.70

01:30:06.000 Yeah.

01:30:06.000 I don't know, but she wears Chuck Taylors.

01:30:08.000 My vote! 0.81

01:30:08.000 Let's continue with this show. 0.81

01:30:09.000 She was in a Tupac in 1985. 0.95

01:30:11.000 Let's hear it.

01:30:15.000 Alright.

01:30:17.000 Is it freezing on us?

01:30:21.000 That's an horrible taste.

01:30:22.000 There we go.

01:30:22.000 We can't bring up our white privilege boy sketch right now.

01:30:24.000 That might be accused of soft racism as opposed to hardcore racism.

01:30:29.000 Just play it.

01:30:30.000 Let's just skip to the last minute because I don't have much time.

01:30:34.000 It's like stealing people's lives just because they feel like it. 1.00

01:30:36.000 If you were white and you know this is happening, and you've seen it, then you're a killer too. 0.99

01:30:41.000 You are adopting a philosophy that says it's okay to do this, and part of that philosophy allows you to be ignorant, right? 0.99

01:30:50.000 And they're like, oh, I didn't know. 0.96

01:30:51.000 What exactly are white people superior at?

01:30:53.000 Taking what's not theirs. 1.00

01:30:54.000 Taking shit. 1.00

01:30:55.000 Taking our ideas. 1.00

01:30:56.000 Copycat.

01:30:57.000 Gentrification.

01:30:57.000 Hold on a second, pause it, pause it.

01:30:59.000 Gentrification.

01:31:00.000 Can someone bring up the armed robbery stats?

01:31:03.000 Like, here's the thing.

01:31:08.000 I'm just saying, I don't think we're very...

01:31:10.000 It's not one of our skill sets.

01:31:12.000 But look, the point isn't that there's a certain race that is actually predisposed by their genetics to do certain things.

01:31:19.000 It's that bad people exist in all races, right?

01:31:22.000 And that's the whole point.

01:31:24.000 And the problem is that, unfortunately, in the black community right now, they're encouraged by this kind of hateful rhetoric. 1.00

01:31:30.000 And this is the kind of hateful rhetoric when you say white people are dicks, they steal, commit genocide, and they want to enslave black people. 1.00

01:31:36.000 That's how you justify violence against white people. 1.00

01:31:38.000 Just like that's how you justify violence against Trump supporters by calling them Nazis. 0.99

01:31:42.000 This right here justifies black violence, black-on-white violence, which to me is a horrible thing. 0.98

01:31:49.000 So is white-on-black violence. 0.98

01:31:50.000 So is black-on-black violence.

01:31:52.000 But this right here justifies it because you talk about white people on a level that is subhuman, and that is what leads to the verifiable crime statistics that refute your argument. 0.55

01:32:03.000 It also shows their own insecurity and that's the problem is this brutalizes both groups.

01:32:09.000 This is something to mess up both sides because it is designed to make us angry and it is designed to make them feel like they are less important in our society.

01:32:18.000 Okay, let's continue watching this.

01:32:19.000 Then I had a quick trip story from this morning with a black guy but I don't know if I can tell.

01:32:22.000 Things that do not belong to them taking over other people's cultures and making you believe that they invented it. 0.91

01:32:27.000 Maybe they're thinking of it as repurposing.

01:32:29.000 It's like recycle and repurpose.

01:32:31.000 As my grandma would say, them white folk, they'll take it if you don't copyright it. 1.00

01:32:35.000 They are very good at destruction of man, destruction of people, destruction of humanness. 0.99

01:32:42.000 What exactly are white people superior at? 0.99

01:32:45.000 White people are able to be with anything. 0.98

01:32:49.000 Nothing. 0.98

01:32:50.000 There's nothing.

01:32:52.000 Nothing.

01:32:52.000 I don't believe that they're superior in any way, shape, or form.

01:32:55.000 I love her!

01:32:55.000 Just because our skin color is different, Well, I don't know.

01:32:58.000 I would say, listen, I wouldn't- and I certainly wouldn't make- that's enough.

01:33:01.000 That's the generalization there.

01:33:03.000 I certainly wouldn't make the argument that they're superior at editing or doing end cards because that sounded like a white person asking the questions.

01:33:08.000 But I certainly wouldn't argue that white people are incompetent at everything, nor would I argue that with black people.

01:33:14.000 I cannot believe that that is allowed to stay up and actually got some juice from big companies with the big tech overlords. 0.73

01:33:22.000 I would love to see a video where it's just white people saying the exact same things. 0.52

01:33:26.000 Right.

01:33:26.000 Why don't we make it today?

01:33:27.000 Yeah, Gerald's gonna do it.

01:33:28.000 I think maybe we should make it.

01:33:30.000 Blur the faces, maybe, to keep people from getting killed, right?

01:33:32.000 Put it out there, and then what's your response? 1.00

01:33:33.000 There's gonna be a blurred, black people are dicks. 1.00

01:33:36.000 Yeah, exactly. 1.00

01:33:37.000 What are black people good at? 1.00

01:33:40.000 Nothing. 0.99

01:33:41.000 I would have to say dunking.

01:33:43.000 They smell bad, and they like their pets.

01:33:47.000 Yeah, can you imagine the reaction that you would get?

01:33:50.000 They like to show their pets the world.

01:33:52.000 They've never seen a black person with a pet.

01:33:54.000 Take him out of their homes. 0.82

01:33:55.000 Ever.

01:33:55.000 Dog fighting.

01:33:59.000 Wait.

01:33:59.000 Taking my furniture.

01:34:04.000 I don't know, is Nick DiPaolo still going to be on after?

01:34:06.000 Because I know he probably is mad that we have him late.

01:34:08.000 He should be good.

01:34:09.000 Okay, okay, so sorry Nick, we're going to be going.

01:34:11.000 So let me tell you a quick story here.

01:34:12.000 I think he missed that last bit.

01:34:13.000 Yeah, he did.

01:34:14.000 This happened this morning.

01:34:17.000 I was at a, you know what, well here, actually really quick, we'll end on this.

01:34:20.000 I was at Quickstrip, as you well know.

01:34:22.000 And people want to say that America is divided and Quickstrip not a sponsor,

01:34:35.000 but you should be because I will not set foot in the Turkish prison that is Racetrack.

01:34:39.000 track.

01:34:41.000 as you should not. So I was at a quick trip this morning. I had to go pick up some half and half

01:34:46.000 for the missus and so I go in and the rule the sign says you have to wear a mask right so everyone's

01:34:51.000 wearing a mask I'm like okay put it on just because I don't want to cause a scene right

01:34:54.000 and this black guy walks right past me and he's not wearing a mask and he walks right in

01:34:59.000 and this is this is the exact conversation I said oh man not wearing a message

01:35:03.000 I said, good for you.

01:35:04.000 That's ballsy. 1.00

01:35:04.000 And he goes, man, what the fuck are you talking about? 1.00

01:35:08.000 What is this shit? 1.00

01:35:09.000 I said, no, no. 1.00

01:35:09.000 And I tore off my mask symbolically. 1.00

01:35:12.000 I said, no, no, listen, I'm saying that's a ballsy move.

01:35:13.000 I appreciate that you walked in, you did your thing. 0.95

01:35:16.000 And he goes, man, it's too fucking early. 0.63

01:35:18.000 I'm telling you, I'm telling you, I'm telling you. 0.97

01:35:21.000 You know how they repeat it.

01:35:22.000 I'm telling you.

01:35:23.000 I said, hey, hey, hey, it's a compliment.

01:35:25.000 Take the win.

01:35:27.000 And he mumbled and he walked out and I realized, this is where we are in this country.

01:35:31.000 For some reason, people are so uptight.

01:35:33.000 A, you have the COVID, you have the tension, you have the mask, and then you have this racial tension because for some, probably because people are watching videos like Cut, they think that if a white person offers them a compliment that somehow it's some kind of an insult.

01:35:44.000 I was very clear in complimenting him.

01:35:48.000 After that, I purchased my half-and-half, I walked out, and there were some police officers nearby.

01:35:53.000 And I have told you, I go by and I always thank police officers.

01:35:56.000 And I said, hey, I just want to thank you for your service.

01:35:57.000 And they always go, well, man, you know, thank you.

01:35:59.000 People don't do that nowadays.

01:36:01.000 And then I noticed the black guy was in his car, and he popped his head out, and he thought that I was telling the cops that he didn't wear a mask.

01:36:10.000 And then I felt racist because he thought I was racist.

01:36:15.000 And I said to the cops, I said, you know, I really appreciate you guys.

01:36:18.000 I know you're not grade school teachers or anything, but you know, being shot at in record numbers, I consider you first responders.

01:36:23.000 They said, thanks man, we don't get a lot of thank yous.

01:36:26.000 Do make sure that you don't tell someone, hey, good for you for doing whatever you're doing.

01:36:32.000 Just like, in other words, this is the lesson.

01:36:35.000 People are of different races.

01:36:36.000 Just don't talk to each other.

01:36:38.000 No.

01:36:38.000 Just listen to Cut, listen to Kamala Harris, and just learn that we should be more divided than ever.

01:36:44.000 That's the message to take away from President Biden Elect.

01:36:46.000 And this is something else.

01:36:47.000 Sometimes people say, why are you so positive? 0.95

01:36:49.000 When the country is going to crap with the election, right?

01:36:51.000 This has happened. 0.55

01:36:52.000 We had the election stream.

01:36:53.000 Look, this is not me putting up appearances.

01:36:56.000 I really do think that the country tends to be a better place today than it was yesterday and tomorrow than today.

01:37:02.000 I tend to believe that in the long run the United States, and I know that won't last forever, but you kind of look at, you know, the pendulum swings both ways, right?

01:37:09.000 And the pendulum swung from Barack Obama So I'm doing your left here, to Donald Trump, really hard, as hard as you possibly could, right?

01:37:17.000 You went from Barack Obama, far left, to Donald Trump, not necessarily far right, but perceived that way.

01:37:22.000 And that was a harder swing than from George W. Bush, center right, to Barack Obama.

01:37:27.000 And now we've gone to Biden, which I would say is not as hard of a swing as George Bush was to Barack Obama.

01:37:35.000 And when people say, what is your hope for the country?

01:37:36.000 Here's what I will say.

01:37:37.000 When I first got my concealed carry license, this was in Texas, and they used to be able to do it where you could do it in someone's house as long as there was a certification.

01:37:44.000 And this was right before Barack Obama was becoming president.

01:37:47.000 And the guy asked me, because at this point I was on Fox News, he said, well, what do you think is going to happen with our country?

01:37:52.000 I said, you know, I'm optimistic, cautiously.

01:37:57.000 I think that Barack Obama is probably going to do some damage with policies, but I think we have systems in place that can rectify that.

01:38:03.000 And he said, I think in two months people will be shooting each other in the street for a loaf of bread. 0.86

01:38:10.000 So whenever someone says the country's going away and it's done, I picture that guy and how crazy and wrong he was.

01:38:16.000 And, you know, his predictions are about the same chance of getting it right as Dick Morris.

01:38:20.000 So, chin up.

01:38:21.000 Things aren't that bad.

01:38:23.000 There's always a silver lining and this is the United States of America.

01:38:26.000 Don't be defeatist because then you just allow yourself to be defeated.

01:38:29.000 Right now, actually, we do have to hit like if you're watching.

01:38:33.000 Yes.

01:38:33.000 Hit like right now because that helps this video get out to everybody, especially with the voter fraud segment.

01:38:38.000 But for everyone else, right now we are going to go exclusively to Mug Club.

01:38:41.000 We have Nick DiPaolo.

01:38:43.000 End your chat.

01:38:43.000 YouTube, you... Wait, is there something on?

Louder with Crowder - November 19, 2020

EXCLUSIVE: New Michigan Voter Data I Stumbled Across! | Good Morning #MugClub

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