1 00:00:00,600 --> 00:00:04,040 Speaker 1: Welcome to the Tutor Dixon Podcast. Well, the Trump administration 2 00:00:04,280 --> 00:00:07,640 Speaker 1: ran on exposing fraud and a few other things, but 3 00:00:07,720 --> 00:00:10,520 Speaker 1: fraud was a really big part of their campaign platform. 4 00:00:10,560 --> 00:00:14,040 Speaker 1: If you remember, and looking back, you probably also remember 5 00:00:14,080 --> 00:00:17,760 Speaker 1: Elon Musk joining the rallies. He talked about volunteering his time, 6 00:00:18,200 --> 00:00:20,680 Speaker 1: he was going to expose waste, fraud, and abuse. And 7 00:00:20,720 --> 00:00:24,200 Speaker 1: then when President Trump took office, we had DOGE, and 8 00:00:24,320 --> 00:00:28,080 Speaker 1: I believe that DOGE was essential. They started cutting waste 9 00:00:28,680 --> 00:00:32,000 Speaker 1: and then the pushback was really hard, you know, like 10 00:00:32,080 --> 00:00:34,080 Speaker 1: there was all these people like, oh my gosh, you 11 00:00:34,080 --> 00:00:36,239 Speaker 1: can't cut all of that money. But it was essential 12 00:00:36,640 --> 00:00:39,720 Speaker 1: to opening the minds of the people that there actually 13 00:00:39,840 --> 00:00:43,080 Speaker 1: is fraud, waste, and abuse, and when you were in 14 00:00:43,280 --> 00:00:48,080 Speaker 1: positions of power, there is the opportunity to abuse the system. 15 00:00:48,840 --> 00:00:51,559 Speaker 1: Why was that pushback so hard at the time when 16 00:00:51,600 --> 00:00:54,200 Speaker 1: Elon Musk was out there, Well, first of all, there's 17 00:00:54,240 --> 00:00:57,279 Speaker 1: coordinated efforts. When you have someone as powerful and as 18 00:00:57,360 --> 00:01:01,080 Speaker 1: rich as Elon Musk, they create all these organizations and 19 00:01:01,120 --> 00:01:04,800 Speaker 1: they start to try to chip away at his integrity. 20 00:01:04,840 --> 00:01:07,200 Speaker 1: So we saw that. But also I think for the 21 00:01:07,240 --> 00:01:10,720 Speaker 1: American people, it's like very offensive, you know, it's like, 22 00:01:10,920 --> 00:01:14,960 Speaker 1: really unbelievable to think all of your money has been 23 00:01:15,200 --> 00:01:17,919 Speaker 1: given to the government. You've given them, you know, almost 24 00:01:18,000 --> 00:01:20,720 Speaker 1: half of your money, and then they've given it back 25 00:01:20,760 --> 00:01:24,720 Speaker 1: to all these fraudulent organizations. And at first it was like, oh, 26 00:01:24,760 --> 00:01:26,840 Speaker 1: I don't want my money to be going to foreign 27 00:01:26,880 --> 00:01:30,880 Speaker 1: governments and foreign countries. But then we start to see 28 00:01:30,920 --> 00:01:34,000 Speaker 1: what's happening just on the local level. So you see 29 00:01:34,160 --> 00:01:37,720 Speaker 1: Minnesota and you go, why is this happening? But if 30 00:01:37,760 --> 00:01:41,319 Speaker 1: you take a step back, it really actually makes sense. 31 00:01:42,000 --> 00:01:45,000 Speaker 1: Because we've said this for years. How are these yahoo's 32 00:01:45,000 --> 00:01:49,280 Speaker 1: getting elected? Like, how is it possible that these democrats 33 00:01:49,400 --> 00:01:52,440 Speaker 1: are getting elected? Because generally, I mean, you've got a 34 00:01:52,480 --> 00:01:56,040 Speaker 1: few that have the it factor, but generally they're awful people. 35 00:01:56,360 --> 00:01:59,120 Speaker 1: They're really bad at their jobs or they haven't had 36 00:01:59,160 --> 00:02:01,920 Speaker 1: a job. They are not capable of speaking. I mean, 37 00:02:01,960 --> 00:02:04,960 Speaker 1: look at Kamala Harris. She was a total disaster and 38 00:02:05,000 --> 00:02:08,919 Speaker 1: they have zero leadership experience. These a lot of times. 39 00:02:08,960 --> 00:02:11,399 Speaker 1: I mean, Kamala Harris was an attorney, but she's never 40 00:02:11,760 --> 00:02:15,960 Speaker 1: led anything, she's never run a company, and no foreign 41 00:02:15,960 --> 00:02:20,000 Speaker 1: policy experience none. I mean I seem to remember her 42 00:02:20,040 --> 00:02:23,040 Speaker 1: even saying I haven't been to Europe either. Well, perfect 43 00:02:23,040 --> 00:02:26,600 Speaker 1: example that she had no foreign policy experience. Look at 44 00:02:26,639 --> 00:02:30,880 Speaker 1: Obama himself. He was a first term senator, He was 45 00:02:30,919 --> 00:02:34,960 Speaker 1: an attorney, he was a lecturer. Does an attorney and 46 00:02:35,000 --> 00:02:37,440 Speaker 1: a lecturer? I mean really, there are quite a few 47 00:02:37,520 --> 00:02:41,480 Speaker 1: jokes about attorneys, But is an attorney and lecturer the 48 00:02:41,560 --> 00:02:45,320 Speaker 1: guy you want running the country? He was one of 49 00:02:45,360 --> 00:02:47,760 Speaker 1: the few with that it factor I talked to. He 50 00:02:47,840 --> 00:02:51,400 Speaker 1: could talked about, he could speak convincingly. He was good 51 00:02:51,520 --> 00:02:56,480 Speaker 1: at the community organizing, probably good at the fraud I mean, 52 00:02:56,560 --> 00:03:00,919 Speaker 1: similar to Mamdanie. He could get groups together and they 53 00:03:00,960 --> 00:03:03,120 Speaker 1: looked at him as like he was there was something 54 00:03:03,160 --> 00:03:06,840 Speaker 1: special about him. Again, he had that it factor, the 55 00:03:06,960 --> 00:03:11,560 Speaker 1: strange appeal, even with no message and no experience. And 56 00:03:11,639 --> 00:03:13,520 Speaker 1: you have to look at that because Trump has that 57 00:03:13,880 --> 00:03:17,320 Speaker 1: it factor. But he's run companies all over the globe, 58 00:03:17,800 --> 00:03:20,600 Speaker 1: all across the world. He has worked, he's made deals 59 00:03:20,800 --> 00:03:24,679 Speaker 1: with people from every country, and yet these democrats on 60 00:03:24,720 --> 00:03:29,080 Speaker 1: the other side legitimately have no experience. Mom Donnie is 61 00:03:29,520 --> 00:03:32,240 Speaker 1: just the son of someone like he's just working for 62 00:03:32,280 --> 00:03:36,040 Speaker 1: his mama, and now he's running the most important city 63 00:03:36,080 --> 00:03:39,600 Speaker 1: in the world. How is it happening. You have to 64 00:03:39,640 --> 00:03:43,600 Speaker 1: ask yourself. There's money and abuse of power at all levels. 65 00:03:43,680 --> 00:03:47,680 Speaker 1: There's manipulative dialogue. These people say certain things and it 66 00:03:47,960 --> 00:03:51,920 Speaker 1: draws people. In in Minnesota, these frasters who took billions 67 00:03:51,920 --> 00:03:55,960 Speaker 1: of taxpayer money, most of them actually put it back 68 00:03:56,000 --> 00:03:59,280 Speaker 1: into the campaigns of the Democrats who looked the other way. 69 00:03:59,520 --> 00:04:02,920 Speaker 1: The whole concept of you scratch our back, we'll scratch yours. 70 00:04:03,280 --> 00:04:07,080 Speaker 1: That's actually nearly the exact conversation that was recorded with 71 00:04:07,200 --> 00:04:11,120 Speaker 1: Minnesota Attorney General Keith Ellison when he was running between 72 00:04:11,200 --> 00:04:15,360 Speaker 1: him and one of these fraudsters, like, hey, man, we 73 00:04:15,480 --> 00:04:18,119 Speaker 1: understand you need money to get elected, but you gotta 74 00:04:18,160 --> 00:04:21,479 Speaker 1: take care of us too. And turns out that fraudster 75 00:04:21,760 --> 00:04:25,800 Speaker 1: was later indicted. But what about the votes, because we've 76 00:04:25,839 --> 00:04:29,960 Speaker 1: been suspicious for a long time. Definitely since twenty twenty, 77 00:04:30,120 --> 00:04:33,040 Speaker 1: there's something going on with the votes. This is not normal. 78 00:04:33,480 --> 00:04:36,520 Speaker 1: So I would say in Michigan it's been a little 79 00:04:36,520 --> 00:04:39,680 Speaker 1: different because in Michigan, I think since twenty eighteen there 80 00:04:39,760 --> 00:04:42,440 Speaker 1: was something strange going on with the votes. And I 81 00:04:42,600 --> 00:04:47,679 Speaker 1: believe that this started in twenty eighteen because Donald Trump 82 00:04:48,200 --> 00:04:52,960 Speaker 1: has that it factor, because Donald Trump is this anomaly 83 00:04:53,080 --> 00:04:55,680 Speaker 1: in politics that comes out and says whatever he wants. 84 00:04:55,880 --> 00:04:58,400 Speaker 1: It might even give you the finger occasionally, but he 85 00:04:58,440 --> 00:05:00,880 Speaker 1: does whatever he wants, we will still come out and 86 00:05:01,000 --> 00:05:03,719 Speaker 1: vote for him, and people and the Democrats are like, 87 00:05:03,760 --> 00:05:07,160 Speaker 1: what the heck, how is this happening? So they saw 88 00:05:07,200 --> 00:05:09,320 Speaker 1: that they really believed Hillary was going to win. I mean, 89 00:05:09,400 --> 00:05:12,040 Speaker 1: remember all the people crying and screaming at the sky. 90 00:05:12,279 --> 00:05:16,440 Speaker 1: They thought Hillary was gonna win, and then she got 91 00:05:16,960 --> 00:05:21,200 Speaker 1: toasted by him in twenty sixteen. So then Michigan changes 92 00:05:21,240 --> 00:05:24,279 Speaker 1: in twenty eighteen, and I believe that's when they were like, 93 00:05:24,360 --> 00:05:28,240 Speaker 1: we can't win because we're losers. So since we have 94 00:05:28,320 --> 00:05:31,040 Speaker 1: no policy, we have no plan, we have no message, 95 00:05:31,040 --> 00:05:33,440 Speaker 1: but we just want power and control and we want to, like, 96 00:05:33,640 --> 00:05:37,479 Speaker 1: you know, become communists. We're going to cheat because communists 97 00:05:37,560 --> 00:05:41,040 Speaker 1: cheat anyway. So suddenly I start looking at the numbers 98 00:05:41,360 --> 00:05:45,039 Speaker 1: in Michigan. You explained to me why in twenty fourteen, 99 00:05:45,080 --> 00:05:48,960 Speaker 1: the Democrat who ran for governor in twenty fourteen received 100 00:05:49,040 --> 00:05:53,520 Speaker 1: one point four million votes and the Republican got like 101 00:05:54,240 --> 00:05:57,800 Speaker 1: one point six y five. So the Republican was just 102 00:05:57,920 --> 00:06:02,080 Speaker 1: a little bit ahead of the Democrat. Then twenty eighteen, 103 00:06:02,240 --> 00:06:07,040 Speaker 1: suddenly things massively change. Whitmer comes in with almost two 104 00:06:07,120 --> 00:06:11,760 Speaker 1: point three million, The Republican is one point eight. Doesn't 105 00:06:11,800 --> 00:06:16,400 Speaker 1: go up that much. It's not like this insane, inflamed number, 106 00:06:16,480 --> 00:06:20,560 Speaker 1: like this number didn't just go out of control. But 107 00:06:20,680 --> 00:06:25,600 Speaker 1: how does Whitmer suddenly increase eight hundred thousand votes? And 108 00:06:25,640 --> 00:06:28,600 Speaker 1: those numbers have never changed. Those eight hundred thousand votes 109 00:06:28,600 --> 00:06:32,679 Speaker 1: in Michigan that suddenly appeared two years after an election 110 00:06:33,240 --> 00:06:36,320 Speaker 1: have stayed there. So we've said for years, how is 111 00:06:36,360 --> 00:06:38,960 Speaker 1: this possible? But we don't have control. So one thing 112 00:06:39,000 --> 00:06:41,800 Speaker 1: you have to understand in this state is that we 113 00:06:41,960 --> 00:06:44,640 Speaker 1: have a corrupt Secretary of State Jocelyn Benson who is 114 00:06:44,640 --> 00:06:47,640 Speaker 1: now running for governor, Katie Hobbs situation secretary of State 115 00:06:47,720 --> 00:06:50,520 Speaker 1: running her own election for governor. We have an attorney 116 00:06:50,600 --> 00:06:53,400 Speaker 1: general that is as corrupt as they come. Dana Nessel 117 00:06:53,520 --> 00:06:56,360 Speaker 1: is a Democrat. She is there's no check on power. 118 00:06:56,760 --> 00:07:00,479 Speaker 1: Gretchen Whitmer, she's just making videos and I'm in the 119 00:07:00,480 --> 00:07:03,279 Speaker 1: political ladder, so she is never going to say no 120 00:07:03,480 --> 00:07:06,039 Speaker 1: to anything that's happening on the Democrat side. And we've 121 00:07:06,080 --> 00:07:11,160 Speaker 1: got a Democrat Supreme Court. There are no checks whatsoever. 122 00:07:11,520 --> 00:07:14,840 Speaker 1: And for the last year we or the last two years, 123 00:07:15,160 --> 00:07:20,040 Speaker 1: we had a situation where before twenty four they controlled everything. 124 00:07:20,440 --> 00:07:24,239 Speaker 1: Now we've got a Republican House, but we're on shaky 125 00:07:24,280 --> 00:07:26,640 Speaker 1: ground because we don't know what's happening with the votes. 126 00:07:27,440 --> 00:07:33,320 Speaker 1: So my friend Tony FORLINI some people call him Anthony, 127 00:07:33,320 --> 00:07:36,000 Speaker 1: but those of us who know, I'm calm Tony. He's 128 00:07:36,080 --> 00:07:38,920 Speaker 1: the current Macomb County clerk here in Michigan. Macomb is 129 00:07:38,960 --> 00:07:42,800 Speaker 1: one of our biggest counties in Michigan. Donald Trump is 130 00:07:43,040 --> 00:07:46,840 Speaker 1: well loved in Macomb. After twenty twenty, everybody's like, how 131 00:07:46,960 --> 00:07:50,040 Speaker 1: did we lose this election? Tony was on it. He 132 00:07:50,120 --> 00:07:51,960 Speaker 1: was looking at the numbers. He's trying to figure it out. 133 00:07:52,000 --> 00:07:56,080 Speaker 1: But he's never stopped, and he recently found something that 134 00:07:56,200 --> 00:07:58,480 Speaker 1: is really disturbing. So I'm going to welcome him into 135 00:07:58,480 --> 00:08:01,120 Speaker 1: the program. Tony, thanks for coming on. Tell us what 136 00:08:01,160 --> 00:08:03,320 Speaker 1: you found in Michigan when it comes to voting. 137 00:08:03,960 --> 00:08:06,400 Speaker 2: Well, Twitter, thanks for having me on. I really appreciate 138 00:08:06,440 --> 00:08:09,000 Speaker 2: it because this is an important message. This is something 139 00:08:09,040 --> 00:08:11,280 Speaker 2: that when we came upon this and stumbled across it 140 00:08:11,320 --> 00:08:16,400 Speaker 2: through cross checking databases, we found something that was incredibly alarming. 141 00:08:16,720 --> 00:08:18,640 Speaker 2: The first thing is is, you know, I've won national 142 00:08:18,640 --> 00:08:21,480 Speaker 2: awards for operational efficiency, so I'm always looking at how 143 00:08:21,520 --> 00:08:23,440 Speaker 2: do we make our department a little bit more efficient, 144 00:08:23,720 --> 00:08:25,520 Speaker 2: do a little bit better, bring a better service to 145 00:08:26,680 --> 00:08:29,680 Speaker 2: all of our citizens. And in doing that, we're looking 146 00:08:29,720 --> 00:08:31,600 Speaker 2: at the jury room, which is a smaller part of 147 00:08:31,640 --> 00:08:36,360 Speaker 2: my overall operation. And I asked them, why is it 148 00:08:36,400 --> 00:08:39,600 Speaker 2: there's so many jurors that are being dismissed. I think, 149 00:08:39,880 --> 00:08:42,760 Speaker 2: various reasons, right, but the one reason that really caught 150 00:08:42,760 --> 00:08:48,120 Speaker 2: my attention was non citizens that were being dismissed, and 151 00:08:48,200 --> 00:08:50,480 Speaker 2: I thought that was interesting. Take I says, give me 152 00:08:50,520 --> 00:08:52,720 Speaker 2: those numbers if you can, and we can actually change 153 00:08:52,720 --> 00:08:55,040 Speaker 2: our software system. Back in September, I says, give me 154 00:08:55,120 --> 00:08:57,760 Speaker 2: everything since September, at least give me a sampling. I 155 00:08:57,800 --> 00:09:00,800 Speaker 2: want to see what we're looking at. And it was 156 00:09:00,960 --> 00:09:04,520 Speaker 2: shocking to me that we found two hundred and thirty 157 00:09:04,600 --> 00:09:09,240 Speaker 2: nine people in the jury pool being summoned that were 158 00:09:09,240 --> 00:09:12,360 Speaker 2: non citizens. And I thought, how can this even be? 159 00:09:12,600 --> 00:09:14,559 Speaker 2: Why would they ever be And we don't get seventeen 160 00:09:14,600 --> 00:09:17,240 Speaker 2: year olds because they're not old enough. Why is it 161 00:09:17,280 --> 00:09:20,439 Speaker 2: so easy for non citizens to be brought into this 162 00:09:20,920 --> 00:09:25,200 Speaker 2: jury pool? But then it occurred to me. It was 163 00:09:25,280 --> 00:09:27,680 Speaker 2: like a revelation here he said, wait a minute, give 164 00:09:27,720 --> 00:09:30,360 Speaker 2: me these names. I want you And it just so 165 00:09:30,480 --> 00:09:33,880 Speaker 2: happens the same supervisor is overseeing both departments at the time. 166 00:09:35,280 --> 00:09:38,280 Speaker 2: Give me those names and doing me a favor and 167 00:09:38,360 --> 00:09:40,720 Speaker 2: go over to the election department. I want you to 168 00:09:40,760 --> 00:09:43,440 Speaker 2: pull every one of these names and see if they 169 00:09:43,480 --> 00:09:45,479 Speaker 2: are also on the QBF. 170 00:09:46,480 --> 00:09:49,040 Speaker 1: Well, what's the QBF for people who don't. 171 00:09:48,840 --> 00:09:54,440 Speaker 2: Know, qualified voter file? So that's the statewide system that 172 00:09:54,520 --> 00:09:59,120 Speaker 2: the Secretary of State maintains, the qualified voter files. And 173 00:09:59,200 --> 00:10:03,199 Speaker 2: so these are people that are registered to vote. 174 00:10:03,559 --> 00:10:06,960 Speaker 1: Well, turns out non citizens registered to vote. 175 00:10:07,520 --> 00:10:11,160 Speaker 2: Well, there's supposed to be citizens registered vote. There should 176 00:10:11,200 --> 00:10:15,760 Speaker 2: never be a non citizen on that database. Never turned 177 00:10:15,760 --> 00:10:19,479 Speaker 2: out out of two hundred and thirty nine tutor fourteen 178 00:10:19,559 --> 00:10:23,760 Speaker 2: were on that list, fourteen people that could have actually voted. 179 00:10:24,320 --> 00:10:28,280 Speaker 2: And of course the follow up question is how many 180 00:10:28,360 --> 00:10:31,760 Speaker 2: actually did vote? Three of them are as they have 181 00:10:31,800 --> 00:10:36,960 Speaker 2: a voting record, one of them several times. So this 182 00:10:36,559 --> 00:10:39,439 Speaker 2: is this is serious stuff. We heard about the Chinese. 183 00:10:40,840 --> 00:10:44,280 Speaker 2: The person in ann Arbor made a big splash about it. 184 00:10:44,400 --> 00:10:49,720 Speaker 2: We caught this guy. Just one shows you the system works. 185 00:10:50,080 --> 00:10:53,480 Speaker 2: Hang on, we found three out of a sample of 186 00:10:53,520 --> 00:10:54,720 Speaker 2: two hundred and thirty nine. 187 00:10:55,040 --> 00:10:57,800 Speaker 1: Let's take a quick commercial break. We'll continue next on 188 00:10:57,840 --> 00:11:05,199 Speaker 1: a Tutor Dixon podcast for people who don't remember. Back 189 00:11:05,320 --> 00:11:09,080 Speaker 1: in twenty four suddenly we find out just before the 190 00:11:09,120 --> 00:11:11,120 Speaker 1: election because we had early voting and we have all 191 00:11:11,200 --> 00:11:14,880 Speaker 1: kinds of bananas absentee voting, and we find out that 192 00:11:14,920 --> 00:11:18,480 Speaker 1: this foreign national voted. And everybody was like, oh, you know, see, 193 00:11:18,520 --> 00:11:22,720 Speaker 1: this is this Chinese national at the University of Michigan 194 00:11:22,840 --> 00:11:25,280 Speaker 1: voted in our election. And it was a big deal 195 00:11:25,400 --> 00:11:27,960 Speaker 1: because the Secretary of State came out and she kind 196 00:11:27,960 --> 00:11:30,920 Speaker 1: of announced us, yes, we're aware, there's nothing we can do. 197 00:11:30,960 --> 00:11:33,600 Speaker 1: We can't pull back a vote now, but we're on 198 00:11:33,679 --> 00:11:35,760 Speaker 1: top of it. And it was almost like, is this 199 00:11:35,920 --> 00:11:38,760 Speaker 1: some sort of a psychological operation on us to make 200 00:11:38,840 --> 00:11:42,440 Speaker 1: us believe. She's like, oh, I've got this. We found it. 201 00:11:42,480 --> 00:11:44,840 Speaker 1: This is the only one, because just in May she 202 00:11:44,880 --> 00:11:46,719 Speaker 1: had told us it was not possible. And then I 203 00:11:46,720 --> 00:11:49,439 Speaker 1: think this vote came in October and she was like, oh, 204 00:11:49,440 --> 00:11:51,160 Speaker 1: but don't worry, we found it. We're just not going 205 00:11:51,240 --> 00:11:53,439 Speaker 1: to pull out because we can't pull it out of 206 00:11:53,480 --> 00:11:57,439 Speaker 1: the system. People were outraged then, But now you're telling 207 00:11:57,480 --> 00:12:01,120 Speaker 1: me you just had the sample for a few months 208 00:12:01,600 --> 00:12:05,360 Speaker 1: and you've found that three people have voted. Which, first 209 00:12:05,400 --> 00:12:08,600 Speaker 1: of all, there's I have a couple questions. One, you 210 00:12:08,600 --> 00:12:10,560 Speaker 1: said there was a change in the system. Did that 211 00:12:10,720 --> 00:12:11,920 Speaker 1: allow you to see this? 212 00:12:12,840 --> 00:12:15,480 Speaker 2: So the only reason I was able to go back 213 00:12:15,800 --> 00:12:18,920 Speaker 2: at this point to September, we were pulling the systems 214 00:12:18,920 --> 00:12:21,640 Speaker 2: from before. Also, it was easy for me to look 215 00:12:21,679 --> 00:12:25,080 Speaker 2: at this grouping of people. So that was the reason. 216 00:12:25,280 --> 00:12:27,280 Speaker 2: Now we're not done. We're going to do a little 217 00:12:27,320 --> 00:12:30,400 Speaker 2: bit more. Okay, and we're not done. We're moving forward 218 00:12:30,480 --> 00:12:32,560 Speaker 2: with every jury pool. We're going to check against that. 219 00:12:34,120 --> 00:12:39,959 Speaker 2: So it's it's it's think about it, tutor. Five percent 220 00:12:40,280 --> 00:12:44,840 Speaker 2: of that jury pool was registered to vote, twenty one 221 00:12:44,920 --> 00:12:49,600 Speaker 2: percent of those actually did vote, so and the question 222 00:12:49,720 --> 00:12:51,480 Speaker 2: is how do they get in there to begin with? Well, 223 00:12:51,800 --> 00:12:54,640 Speaker 2: if you look at the registration form to vote here 224 00:12:54,679 --> 00:12:57,320 Speaker 2: in Michigan, this is the troubling part. This is the 225 00:12:57,360 --> 00:12:59,360 Speaker 2: part that people need to understand. And that's why there's 226 00:12:59,400 --> 00:13:03,320 Speaker 2: this Citizens First, uh for citizens only initiative that's out there. 227 00:13:04,800 --> 00:13:07,480 Speaker 2: Here's what the application looks like. I'm gonna summarize it 228 00:13:08,400 --> 00:13:12,640 Speaker 2: your name. Are you a US citizen? Now, you know what, 229 00:13:12,760 --> 00:13:14,960 Speaker 2: there's people that maybe are here in this country don't 230 00:13:15,000 --> 00:13:17,760 Speaker 2: totally understand that question. So I'll give them a pass. 231 00:13:18,120 --> 00:13:20,960 Speaker 2: Maybe right that, maybe I still give them a past. 232 00:13:21,600 --> 00:13:23,800 Speaker 2: I've lived in Clinton Township. I'm a citizen. You know, 233 00:13:23,840 --> 00:13:26,480 Speaker 2: that's kind of maybe what they're thinking. Let's just assume 234 00:13:26,520 --> 00:13:29,120 Speaker 2: that we're gonna you know, you're innocent until you're proven guilty. 235 00:13:30,080 --> 00:13:32,800 Speaker 2: You check the box, yes, I'm a US citizen. But 236 00:13:32,800 --> 00:13:35,360 Speaker 2: then the next question is, give me your you know, 237 00:13:35,480 --> 00:13:37,920 Speaker 2: the last four digits of your solid security number, give 238 00:13:37,920 --> 00:13:40,839 Speaker 2: me your drivers whatever. If you don't have that, there's 239 00:13:40,880 --> 00:13:45,080 Speaker 2: another box you check. I don't have a Michigan driver's license. 240 00:13:45,120 --> 00:13:48,080 Speaker 2: I don't have a Michigan ID, nor do I have 241 00:13:48,120 --> 00:13:52,280 Speaker 2: a solid security number. So now you check that box, 242 00:13:52,440 --> 00:13:52,880 Speaker 2: you're in. 243 00:13:54,160 --> 00:13:57,240 Speaker 1: You're How is that possible that the system doesn't kick 244 00:13:57,280 --> 00:13:58,360 Speaker 1: you out. 245 00:13:58,000 --> 00:13:59,679 Speaker 2: Because there's nothing in the system to kick it out. 246 00:13:59,679 --> 00:14:02,280 Speaker 2: There's no checks by the state. And that's why there 247 00:14:02,320 --> 00:14:04,600 Speaker 2: really needs to be a national database. I think Trump 248 00:14:04,920 --> 00:14:07,920 Speaker 2: has talked about a President Trump talked about that. I 249 00:14:07,960 --> 00:14:10,200 Speaker 2: saw some release he put out there that there should 250 00:14:10,240 --> 00:14:16,280 Speaker 2: be a national database that our clerks can check against that. 251 00:14:16,360 --> 00:14:21,040 Speaker 2: So it shouldn't be self reporting. It should be we 252 00:14:21,640 --> 00:14:24,280 Speaker 2: make sure you are a citizen. It should be very simple. 253 00:14:25,440 --> 00:14:28,280 Speaker 2: We check the box, yes they are a US citizen 254 00:14:28,480 --> 00:14:32,280 Speaker 2: and send it in, not self reporting. And what concerns 255 00:14:32,280 --> 00:14:35,000 Speaker 2: me about the self reporting tutor is, you know, I 256 00:14:35,040 --> 00:14:37,280 Speaker 2: am the clerk of the court, and being the clerk 257 00:14:37,320 --> 00:14:40,560 Speaker 2: of the court, we also have we're the one bringing 258 00:14:40,600 --> 00:14:43,080 Speaker 2: people in for the jurors, right, and we're checking them 259 00:14:43,280 --> 00:14:47,600 Speaker 2: they're self reporting. Is it possible and it is possible 260 00:14:47,800 --> 00:14:50,960 Speaker 2: that nobody said anything to us. They wanted a serve 261 00:14:51,000 --> 00:14:54,600 Speaker 2: on a very pool and perhaps they got into the system, 262 00:14:54,840 --> 00:14:59,600 Speaker 2: and perhaps they actually made a judgment on some case 263 00:14:59,720 --> 00:15:01,480 Speaker 2: that they weren't allowed to make judgment on. 264 00:15:03,040 --> 00:15:06,480 Speaker 1: And someone could have either gone to jail or been 265 00:15:06,560 --> 00:15:09,240 Speaker 1: let go based on the fact that someone from another 266 00:15:09,320 --> 00:15:12,200 Speaker 1: country who has a different culture, and this is a 267 00:15:12,240 --> 00:15:15,400 Speaker 1: serious concern. The culture in a different country is very 268 00:15:15,440 --> 00:15:17,440 Speaker 1: different than ours. If you are not a citizen, you 269 00:15:17,480 --> 00:15:19,800 Speaker 1: have not gone through the class, You do not understand 270 00:15:19,800 --> 00:15:24,040 Speaker 1: our laws, you do not understand our procedures. There should 271 00:15:24,080 --> 00:15:27,200 Speaker 1: be a safeguard to make sure that person is not 272 00:15:27,360 --> 00:15:30,200 Speaker 1: making a decision on whether or not someone is safe 273 00:15:30,240 --> 00:15:31,840 Speaker 1: in our country to be free. 274 00:15:33,440 --> 00:15:38,960 Speaker 2: We are judged by Americans, not by foreigners. Now listen, 275 00:15:38,960 --> 00:15:41,040 Speaker 2: I'm the son of a foreigner. My dad came over 276 00:15:41,080 --> 00:15:44,120 Speaker 2: from Italy. He took all those American classes and all 277 00:15:44,160 --> 00:15:47,280 Speaker 2: the things he did. He speaks English, does all these things. 278 00:15:47,600 --> 00:15:49,760 Speaker 2: And I shouldn't say speak English. He always says, I 279 00:15:49,760 --> 00:15:54,200 Speaker 2: speak American. And so there's a process, right that you 280 00:15:54,240 --> 00:15:56,880 Speaker 2: want to be judged by your peers. Your peers are 281 00:15:56,960 --> 00:16:02,560 Speaker 2: fellow Americans, not people that are not resident or they're residents, 282 00:16:02,600 --> 00:16:05,280 Speaker 2: but they're not citizens of the United States. 283 00:16:05,840 --> 00:16:08,520 Speaker 1: So how far do you think this goes? Has just first, 284 00:16:08,720 --> 00:16:10,720 Speaker 1: has Justlyn Benson said anything about this? 285 00:16:12,120 --> 00:16:14,960 Speaker 2: I don't believe she has. She may have id and say, 286 00:16:15,400 --> 00:16:18,000 Speaker 2: you know, I'm all about process with the Bureau of 287 00:16:18,000 --> 00:16:20,240 Speaker 2: Elections did reach out. As a matter of fact, I 288 00:16:20,360 --> 00:16:23,120 Speaker 2: had three special agents from the federal government come into 289 00:16:23,120 --> 00:16:24,880 Speaker 2: my office. They wanted to look into this a little 290 00:16:24,920 --> 00:16:28,920 Speaker 2: bit more so. They're going to bring us subpoenas, which 291 00:16:29,000 --> 00:16:32,040 Speaker 2: they should do and are doing, and we're going to 292 00:16:32,080 --> 00:16:34,600 Speaker 2: provide the information when they when they bring that to us. 293 00:16:34,840 --> 00:16:38,800 Speaker 1: So that is fantastic news. I think that's what people 294 00:16:38,880 --> 00:16:41,600 Speaker 1: in Michigan have been looking for. There was never that 295 00:16:41,680 --> 00:16:45,480 Speaker 1: ability to connect with the federal government while Joe Biden 296 00:16:45,600 --> 00:16:50,080 Speaker 1: was there. And again I go back to there are ways, somehow, 297 00:16:50,200 --> 00:16:52,840 Speaker 1: I believe there are ways that the Democrats are getting 298 00:16:52,920 --> 00:16:56,360 Speaker 1: elected and it's not all on the up and up. 299 00:16:56,840 --> 00:17:00,400 Speaker 1: And I've had people say to me, and probably every 300 00:17:00,400 --> 00:17:02,920 Speaker 1: time I post on social media, I've had people comment 301 00:17:03,040 --> 00:17:05,439 Speaker 1: on that post saying, you didn't even fight your election. 302 00:17:06,600 --> 00:17:10,120 Speaker 1: We were talking about hundreds of thousands of votes. There 303 00:17:10,200 --> 00:17:12,959 Speaker 1: was no legal way to go back and fight that. 304 00:17:13,080 --> 00:17:15,120 Speaker 1: And there's not enough money in the world, and certainly 305 00:17:15,160 --> 00:17:17,840 Speaker 1: not enough money from the donors in Michigan to go 306 00:17:17,920 --> 00:17:20,760 Speaker 1: back and fight an election against an incumbent governor who 307 00:17:20,760 --> 00:17:24,679 Speaker 1: has the power to do things to any donor who 308 00:17:24,720 --> 00:17:28,159 Speaker 1: would have tried to help prove that there was some 309 00:17:28,240 --> 00:17:31,640 Speaker 1: cheating in some way. But regardless of that, I think 310 00:17:31,680 --> 00:17:36,680 Speaker 1: it's also critical to understand that going back is very challenging, 311 00:17:36,840 --> 00:17:39,320 Speaker 1: and even President Trump would tell you and his team 312 00:17:39,359 --> 00:17:43,000 Speaker 1: would tell you going back was so challenging. We learned 313 00:17:43,040 --> 00:17:46,439 Speaker 1: that you can't go back. That's why the RNC fully 314 00:17:46,560 --> 00:17:49,960 Speaker 1: changed in twenty twenty four. The rn C had no 315 00:17:50,040 --> 00:17:52,680 Speaker 1: ability to do anything. They had given up their ability 316 00:17:52,720 --> 00:17:55,920 Speaker 1: to have lawsuits or fight any type of election. They 317 00:17:56,000 --> 00:17:59,600 Speaker 1: came out guns blazing in twenty three and twenty four 318 00:17:59,600 --> 00:18:02,160 Speaker 1: and said, we're going to make sure everything that's going 319 00:18:02,200 --> 00:18:05,720 Speaker 1: on that's illegal at the Secretary of State's office across 320 00:18:05,720 --> 00:18:08,720 Speaker 1: the country in all these different states, we're going to sue. 321 00:18:08,720 --> 00:18:11,080 Speaker 1: Now they sued Benson like eight times, and I think 322 00:18:11,119 --> 00:18:12,280 Speaker 1: they won six of those. 323 00:18:14,040 --> 00:18:17,679 Speaker 2: Well, let me say this, Tutor. As the county clerk, 324 00:18:18,320 --> 00:18:20,720 Speaker 2: I did everything within my power for the last five years. 325 00:18:20,800 --> 00:18:23,439 Speaker 2: Little incremental changes. They might be little, but I think 326 00:18:23,480 --> 00:18:26,040 Speaker 2: they're pretty big. I was the first county clerk in 327 00:18:26,080 --> 00:18:28,480 Speaker 2: the state of Michigan to shut off the modems. It's 328 00:18:28,520 --> 00:18:31,959 Speaker 2: caused a little consternation with people. Results came in a bit, 329 00:18:32,040 --> 00:18:34,720 Speaker 2: little bit later, but we knew there was no modem 330 00:18:34,800 --> 00:18:36,760 Speaker 2: interference or anything possible there. 331 00:18:37,520 --> 00:18:39,359 Speaker 1: So I will say, we complain about the fact that 332 00:18:39,440 --> 00:18:41,520 Speaker 1: your results take so long. So now I know why 333 00:18:41,800 --> 00:18:45,159 Speaker 1: I'm not kidding. Every election, I'm like, what is Tony doing? 334 00:18:45,800 --> 00:18:48,440 Speaker 2: Well, you know, I'll tell you what. CNN did a 335 00:18:48,440 --> 00:18:51,159 Speaker 2: little story on it that I actually was getting in 336 00:18:51,240 --> 00:18:54,919 Speaker 2: police cars being escorted to different precincts or to the 337 00:18:54,920 --> 00:18:58,040 Speaker 2: clerks grabbing their sticks and bringing them in because I 338 00:18:58,119 --> 00:19:01,000 Speaker 2: wanted to get these results in earlier. It was a 339 00:19:01,119 --> 00:19:03,639 Speaker 2: change that we're making a few other changes to do 340 00:19:03,680 --> 00:19:05,960 Speaker 2: it a little quicker now. But I think there was 341 00:19:06,080 --> 00:19:09,240 Speaker 2: enough concern about the modems that I felt like, I 342 00:19:09,280 --> 00:19:14,199 Speaker 2: want to bring confidence back to our elections, and in 343 00:19:14,280 --> 00:19:15,879 Speaker 2: order to do that, we had to eliminate all the 344 00:19:15,880 --> 00:19:18,800 Speaker 2: little things out there. For instance, you know, I introduced 345 00:19:18,840 --> 00:19:22,359 Speaker 2: for the first time in McComb County watermarked paper. You know, 346 00:19:22,480 --> 00:19:24,680 Speaker 2: it costs us a penny more per page, but isn't 347 00:19:24,680 --> 00:19:27,520 Speaker 2: that worth it for the sanctity of these ballots to 348 00:19:28,119 --> 00:19:30,480 Speaker 2: have that little bit of confidence that the paper being 349 00:19:30,560 --> 00:19:33,479 Speaker 2: used as water marked it's official paper. They do it 350 00:19:33,480 --> 00:19:35,320 Speaker 2: with a twenty dollars bill, why wouldn't they do it 351 00:19:35,359 --> 00:19:39,800 Speaker 2: with our ballots? So, you know, we did that. We 352 00:19:39,880 --> 00:19:43,360 Speaker 2: trained all our clerks to do hash validations and all 353 00:19:43,359 --> 00:19:46,600 Speaker 2: of that means is that how we program the sticks 354 00:19:47,200 --> 00:19:50,520 Speaker 2: and the tabulator sticks that have that information, and how 355 00:19:50,560 --> 00:19:53,640 Speaker 2: we get it back. There was no foreign interference within that, 356 00:19:53,960 --> 00:19:55,680 Speaker 2: and that was a big job to train them all 357 00:19:55,800 --> 00:19:58,160 Speaker 2: to do that, and we did it because I think 358 00:19:58,200 --> 00:20:00,680 Speaker 2: it's worth it. It's worth it to know that there's 359 00:20:00,720 --> 00:20:05,320 Speaker 2: not outside interference. We turn our tabulators on so that 360 00:20:05,400 --> 00:20:09,080 Speaker 2: they when they scan the ballots, they're actually the images 361 00:20:09,160 --> 00:20:13,000 Speaker 2: captured as a PDF, and it shows in that tabulator 362 00:20:13,359 --> 00:20:16,119 Speaker 2: at another page, another PDF that says, here's the ballot, 363 00:20:16,359 --> 00:20:19,680 Speaker 2: here's how it's scored, look at it. Compare it to 364 00:20:19,760 --> 00:20:23,360 Speaker 2: the tape. Complete transparency. I want people to feel comfortable 365 00:20:23,359 --> 00:20:25,560 Speaker 2: with that, and and if you want to foia them 366 00:20:25,840 --> 00:20:29,359 Speaker 2: is very inexpensive to FOYA because we have it all electronic. 367 00:20:29,200 --> 00:20:32,280 Speaker 1: Well, and that's that's what I think people don't understand. 368 00:20:32,400 --> 00:20:34,480 Speaker 1: That's why right now it is so hard to go 369 00:20:34,600 --> 00:20:37,640 Speaker 1: back and look because other counties aren't doing that. And 370 00:20:37,880 --> 00:20:41,399 Speaker 1: it can be it can be the clerk's decision, but 371 00:20:41,720 --> 00:20:44,199 Speaker 1: this isn't at This isn't just at their fingertips. You 372 00:20:44,240 --> 00:20:46,840 Speaker 1: have to be proactive to do this. If you were 373 00:20:46,840 --> 00:20:50,240 Speaker 1: in the Secretary of State's position, you could say we're 374 00:20:50,240 --> 00:20:53,560 Speaker 1: going to do this across all counties. The watermark paper, 375 00:20:53,600 --> 00:20:55,840 Speaker 1: to me, is so critical, and I think I want 376 00:20:55,840 --> 00:20:58,920 Speaker 1: people to understand why that is critical, because there has 377 00:20:59,040 --> 00:21:02,439 Speaker 1: been concern that people could copy the ballot, make copies 378 00:21:02,480 --> 00:21:04,600 Speaker 1: of it. And then bring those in at the end 379 00:21:04,600 --> 00:21:06,800 Speaker 1: of the night. We had a lot of those concerns 380 00:21:06,840 --> 00:21:08,800 Speaker 1: when it was you know, Detroit, where did all these 381 00:21:08,840 --> 00:21:12,040 Speaker 1: ballots come from? If you have the watermarked paper, you 382 00:21:12,160 --> 00:21:15,000 Speaker 1: know that that was officially printed, that that was paid 383 00:21:15,000 --> 00:21:17,320 Speaker 1: for by the state, that this isn't a copy. That's 384 00:21:17,359 --> 00:21:19,919 Speaker 1: why it's so critical and the American people should be 385 00:21:19,920 --> 00:21:24,000 Speaker 1: demanding this everywhere. If you are running for Secretary of 386 00:21:24,040 --> 00:21:26,359 Speaker 1: State right now in the state of Michigan, so do 387 00:21:26,480 --> 00:21:28,960 Speaker 1: all of these changes that you've done in Macomb go 388 00:21:29,080 --> 00:21:31,359 Speaker 1: into effect in the entire state if you were able 389 00:21:31,400 --> 00:21:35,040 Speaker 1: to take that position back for Republicans, we are going 390 00:21:35,119 --> 00:21:35,360 Speaker 1: to do. 391 00:21:35,320 --> 00:21:38,600 Speaker 2: Everything we can to bring the confidence back to elections, 392 00:21:39,080 --> 00:21:43,440 Speaker 2: whether it's cleaning up the voter rolls, which we've recently done. 393 00:21:43,440 --> 00:21:46,080 Speaker 2: We did some of it, you know, small I'll give 394 00:21:46,080 --> 00:21:50,119 Speaker 2: you a quick sample. We had six hundred people listed 395 00:21:50,160 --> 00:21:52,320 Speaker 2: that they were over the age of one hundred. I 396 00:21:52,480 --> 00:21:54,600 Speaker 2: had my office look at every single one of them. 397 00:21:54,600 --> 00:21:56,840 Speaker 2: This is low lying people over the age of one hundred. 398 00:21:56,920 --> 00:22:00,200 Speaker 2: Let's just look at that. Three hundred of them are 399 00:22:00,200 --> 00:22:03,720 Speaker 2: no longer with us. They're no longer with us. My 400 00:22:03,760 --> 00:22:05,800 Speaker 2: wife doesn't like me to use the word they're dead, 401 00:22:06,080 --> 00:22:10,879 Speaker 2: but you know that's what happened. We have, right, I know, 402 00:22:11,080 --> 00:22:14,680 Speaker 2: I know, just like those words. So so they're no 403 00:22:14,760 --> 00:22:17,920 Speaker 2: longer with us, toutor and so that's the kind of 404 00:22:17,960 --> 00:22:22,240 Speaker 2: stuff that we're doing. Incremental changes. You can't change it 405 00:22:22,359 --> 00:22:25,960 Speaker 2: all overnight, but you can make a little bit of 406 00:22:25,960 --> 00:22:28,240 Speaker 2: a change all the way through. And for five years, 407 00:22:28,240 --> 00:22:31,040 Speaker 2: that's what I've been doing. I've been doing this incremental 408 00:22:31,119 --> 00:22:34,040 Speaker 2: changes all the way through. I hate looking backwards. We 409 00:22:34,160 --> 00:22:40,600 Speaker 2: use twenty twenty and before as a really a study, 410 00:22:40,760 --> 00:22:43,879 Speaker 2: if you will, of what went wrong. But I can't 411 00:22:43,920 --> 00:22:45,800 Speaker 2: go back and complain about it. I can only go 412 00:22:45,960 --> 00:22:48,880 Speaker 2: forward and make changes. So the things that people were 413 00:22:48,880 --> 00:22:52,160 Speaker 2: concerned about, we could start eliminating those reasons. 414 00:22:52,359 --> 00:22:54,760 Speaker 1: There's always I do I want to stop you because 415 00:22:54,800 --> 00:22:57,479 Speaker 1: I do think it's key that you were in that 416 00:22:57,560 --> 00:23:00,240 Speaker 1: position during those times, because where you don't I want 417 00:23:00,280 --> 00:23:04,040 Speaker 1: to look back, you were there. You have that experience 418 00:23:04,119 --> 00:23:07,680 Speaker 1: and having lived through it, that influences how you run 419 00:23:07,920 --> 00:23:08,960 Speaker 1: your department today. 420 00:23:09,600 --> 00:23:11,760 Speaker 2: Right, And keep in mind, I didn't run the twenty 421 00:23:11,800 --> 00:23:14,159 Speaker 2: twenty election. I won the twenty twenty election. 422 00:23:15,280 --> 00:23:17,840 Speaker 1: So explain that. Explain that to people. 423 00:23:18,119 --> 00:23:20,800 Speaker 2: So I ran as the county clerk in twenty twenty 424 00:23:20,840 --> 00:23:25,400 Speaker 2: against an incumbent Democrat, one that was fairly popular, nice guy, honestly, 425 00:23:25,560 --> 00:23:30,119 Speaker 2: and so I won that election by fifteen hundred votes. 426 00:23:30,320 --> 00:23:32,560 Speaker 2: And of course everyone was complaining about the election was 427 00:23:32,640 --> 00:23:34,960 Speaker 2: fixed and everything else. I'm thinking, this poor guy before me, 428 00:23:35,000 --> 00:23:39,480 Speaker 2: that was a Democrat, you know, I beat him in 429 00:23:39,520 --> 00:23:41,920 Speaker 2: an election that he was in charge of. Right, But 430 00:23:43,080 --> 00:23:46,040 Speaker 2: it gave me a unique perspective because I had nothing 431 00:23:46,040 --> 00:23:48,880 Speaker 2: to hide, because I had everything to gain to try 432 00:23:48,880 --> 00:23:53,439 Speaker 2: to find problems with what had happened before fraud. I 433 00:23:53,480 --> 00:23:56,120 Speaker 2: didn't find the fraud in McComb County. What I did 434 00:23:56,160 --> 00:24:00,280 Speaker 2: find was protocols that weren't properly followed, things that would 435 00:24:00,520 --> 00:24:04,760 Speaker 2: create doubt. And those are the things that I eliminated 436 00:24:05,040 --> 00:24:08,600 Speaker 2: immediately and moving forward started making it better and better. 437 00:24:08,680 --> 00:24:11,720 Speaker 2: So it's important to note that it was it was 438 00:24:11,760 --> 00:24:15,320 Speaker 2: I was in a good position to look at Macomb 439 00:24:15,440 --> 00:24:18,200 Speaker 2: County and what happened in McComb County. There's a lot 440 00:24:18,200 --> 00:24:20,280 Speaker 2: of things, you know, we're still finding out. We're still 441 00:24:20,280 --> 00:24:23,360 Speaker 2: trying to uncover this jury service and how that all 442 00:24:23,520 --> 00:24:26,000 Speaker 2: came together was just one of those things that we 443 00:24:26,080 --> 00:24:30,920 Speaker 2: uncovered and continue to as as we move forward, we 444 00:24:31,000 --> 00:24:33,720 Speaker 2: have to keep our eyes open. We have to always 445 00:24:33,880 --> 00:24:35,840 Speaker 2: keep our eyes open as to what is going on 446 00:24:35,920 --> 00:24:38,320 Speaker 2: out there. What are the bad guys looking to do? 447 00:24:38,720 --> 00:24:41,200 Speaker 2: How can we prevent it? It's really, you know, it's 448 00:24:41,240 --> 00:24:44,520 Speaker 2: the bad guys. It's you know, and it's sometimes it's 449 00:24:44,520 --> 00:24:48,800 Speaker 2: because we have systems in place that are not very good. 450 00:24:48,840 --> 00:24:52,720 Speaker 2: The protocols are not very good. The application to vote 451 00:24:52,920 --> 00:24:53,880 Speaker 2: is one of those flaws. 452 00:24:53,960 --> 00:24:56,679 Speaker 1: Let's take a quick commercial break. We'll continue next on 453 00:24:56,720 --> 00:25:03,480 Speaker 1: the Tutor Dixon Podcast. McComb County loves President Trump. 454 00:25:04,040 --> 00:25:07,080 Speaker 2: They sure do. They sure do. Just outside my house 455 00:25:07,080 --> 00:25:09,480 Speaker 2: here on Lake Saint Clair, Man, there is a flotilla. 456 00:25:09,560 --> 00:25:12,360 Speaker 2: There must have been, I don't know, a thousand, two 457 00:25:12,400 --> 00:25:16,640 Speaker 2: thousand voats that went right by, all waving their flags. 458 00:25:16,960 --> 00:25:20,960 Speaker 2: That was back in twenty sixteen, you know, twenty sixteen 459 00:25:21,040 --> 00:25:25,600 Speaker 2: and twenty twenty. And by the way, President Trump won 460 00:25:25,840 --> 00:25:30,560 Speaker 2: McComb County in twenty sixteen, twenty twenty, in twenty twenty four. 461 00:25:31,600 --> 00:25:33,680 Speaker 1: I see you have a picture of him behind you there. 462 00:25:34,040 --> 00:25:37,920 Speaker 2: Oh, I do. This is a great picture. I love 463 00:25:38,000 --> 00:25:41,960 Speaker 2: talking about it because this picture with President Trump happened 464 00:25:42,000 --> 00:25:44,520 Speaker 2: in the White House. I was invited because the president 465 00:25:44,560 --> 00:25:46,479 Speaker 2: from Italy had come to visit and I was invited 466 00:25:46,480 --> 00:25:48,960 Speaker 2: to come in. I had been knighted by him, by 467 00:25:49,000 --> 00:25:50,840 Speaker 2: the way, a few years before that. 468 00:25:51,240 --> 00:25:53,680 Speaker 1: Whoa, whoa. Okay, that's a whole nother story. You're gonna 469 00:25:53,680 --> 00:25:54,880 Speaker 1: have to tell us that someday. 470 00:25:55,080 --> 00:25:57,120 Speaker 2: Who another story. So I was invited to come in, 471 00:25:57,280 --> 00:26:02,120 Speaker 2: and it was the day my granddaughter, my daughter gave 472 00:26:02,160 --> 00:26:08,080 Speaker 2: birth to my first granddaughter, first first grandchild, and so 473 00:26:09,840 --> 00:26:11,320 Speaker 2: I was getting a lot of grief from my wife 474 00:26:11,320 --> 00:26:14,399 Speaker 2: and I told the President, I said, I'm really getting 475 00:26:14,400 --> 00:26:16,440 Speaker 2: a lot of agreef from my wife. But I had 476 00:26:16,440 --> 00:26:19,840 Speaker 2: this onesie in my pocket. I pulled out. I said, 477 00:26:20,000 --> 00:26:22,479 Speaker 2: if you could sign this for my granddaughter, it'd make 478 00:26:22,560 --> 00:26:25,600 Speaker 2: everything better. It didn't, but I said that to him. 479 00:26:25,640 --> 00:26:28,359 Speaker 2: He laughed, he thought it was funny. He signed it. 480 00:26:28,400 --> 00:26:31,040 Speaker 2: And that's a picture of him signing it right there, 481 00:26:31,400 --> 00:26:35,199 Speaker 2: and then right next to it's the actual onesie. And 482 00:26:35,240 --> 00:26:39,480 Speaker 2: so yeah, you know, when I brought it back, I 483 00:26:39,600 --> 00:26:41,399 Speaker 2: asked my daughter where you want me to put it for. 484 00:26:41,480 --> 00:26:44,240 Speaker 2: I took the picture with her and she said, oh, Dad, 485 00:26:44,359 --> 00:26:46,280 Speaker 2: just she's in the hospital, so just put it over 486 00:26:46,320 --> 00:26:48,800 Speaker 2: they'll take care of it later. Steffy, No, it's not 487 00:26:48,840 --> 00:26:51,600 Speaker 2: going to happen. I'm taking it. If she turns out 488 00:26:51,600 --> 00:26:54,439 Speaker 2: to be a great kid at eighteen, I'll give it 489 00:26:54,440 --> 00:26:57,520 Speaker 2: to her at her graduation. So for the time being, 490 00:26:57,880 --> 00:26:59,960 Speaker 2: it's a safe keeping at my house. 491 00:27:00,640 --> 00:27:05,040 Speaker 1: So she's not allowed at the Abolish Ice rallies or 492 00:27:05,040 --> 00:27:07,760 Speaker 1: anything like that. She's got to be I don't know, 493 00:27:08,920 --> 00:27:14,199 Speaker 1: good good, well. I appreciate everything you do in Macomb County. 494 00:27:14,240 --> 00:27:16,639 Speaker 1: I will just say, for those of you listening, I 495 00:27:16,720 --> 00:27:18,919 Speaker 1: live on the other side of the state. I'm going 496 00:27:19,000 --> 00:27:22,080 Speaker 1: to say we have the best beaches, but you definitely 497 00:27:22,160 --> 00:27:24,520 Speaker 1: have the best food in macomb Ah. 498 00:27:25,400 --> 00:27:26,919 Speaker 2: But your restaurants know that. 499 00:27:28,160 --> 00:27:30,440 Speaker 1: I mean, honestly, we're in a little bit of a 500 00:27:30,480 --> 00:27:32,840 Speaker 1: food dessert. I'm not gonna lie, but I go over 501 00:27:32,880 --> 00:27:35,640 Speaker 1: there and I've never I've never had a bad meal 502 00:27:35,880 --> 00:27:38,800 Speaker 1: in McComb County. You guys do food very well. 503 00:27:39,040 --> 00:27:41,240 Speaker 2: Well. That's why I look how I look and you 504 00:27:41,320 --> 00:27:43,320 Speaker 2: look how you lookad. 505 00:27:45,400 --> 00:27:47,880 Speaker 1: The Italians do food very well. I think that's part 506 00:27:47,960 --> 00:27:48,200 Speaker 1: of it. 507 00:27:48,600 --> 00:27:50,280 Speaker 2: We were just at Luciano's last night. 508 00:27:50,600 --> 00:27:53,679 Speaker 1: Oh I'm jealous. Tell them, I say hello, I'll do 509 00:27:53,760 --> 00:27:56,479 Speaker 1: that they are wonderful, all right, So tell people you 510 00:27:56,560 --> 00:27:59,359 Speaker 1: are running. This is a critical race. I want people 511 00:27:59,359 --> 00:28:02,800 Speaker 1: to understand that when you look around the country, whatever 512 00:28:02,840 --> 00:28:05,719 Speaker 1: state you were in, the races that you may not 513 00:28:05,840 --> 00:28:08,040 Speaker 1: have paid attention to in the past, which I would 514 00:28:08,080 --> 00:28:13,119 Speaker 1: say are secretary of State, Attorney general, prosecutors, local races 515 00:28:13,200 --> 00:28:16,680 Speaker 1: like that, But on the state level, AG and secretary 516 00:28:16,720 --> 00:28:19,800 Speaker 1: of State are races that I think historically Republicans have 517 00:28:19,880 --> 00:28:23,680 Speaker 1: overlooked because we've thought of them as nonpartisan. They are 518 00:28:24,040 --> 00:28:27,240 Speaker 1: not nonpartisan. You want to have somebody in there who 519 00:28:27,320 --> 00:28:29,680 Speaker 1: is going to look at it from a non biased 520 00:28:29,680 --> 00:28:32,919 Speaker 1: perspective and make sure that it is running well. I 521 00:28:33,040 --> 00:28:38,160 Speaker 1: believe that we have that person, but you're running. You're 522 00:28:38,200 --> 00:28:40,560 Speaker 1: not there yet. We have to make sure that we 523 00:28:40,680 --> 00:28:44,080 Speaker 1: have we get Tony into that position of secretary of state. 524 00:28:44,520 --> 00:28:49,080 Speaker 1: Now it's just this news came out that our lieutenant governor, 525 00:28:49,320 --> 00:28:53,080 Speaker 1: I shouldn't say, I'll say Gretchen Whitmer's lieutenant governor, who 526 00:28:53,240 --> 00:28:55,800 Speaker 1: I believe she used to get into the position that 527 00:28:55,880 --> 00:28:58,040 Speaker 1: she's in, and now she's just throwing him to the side, 528 00:28:58,160 --> 00:29:00,600 Speaker 1: like I'm going to have a guy with me, but 529 00:29:00,800 --> 00:29:02,760 Speaker 1: I don't really care about him because she would not 530 00:29:03,560 --> 00:29:06,720 Speaker 1: endorse him for governor. He's been running for governor for 531 00:29:06,840 --> 00:29:10,160 Speaker 1: all these months, many many months, against Jocelyn Benson, our 532 00:29:10,160 --> 00:29:13,880 Speaker 1: corrupt secretary of state. But Jocelyn Benson is corrupt. She's 533 00:29:14,120 --> 00:29:17,120 Speaker 1: traveled the country with Hillary Clinton. She's a bad egg. Okay, 534 00:29:17,320 --> 00:29:20,920 Speaker 1: she and Hillary tight like this. I'm sure Hillary made 535 00:29:20,920 --> 00:29:23,400 Speaker 1: some sort of you know, threat on Garland's life. Will 536 00:29:23,440 --> 00:29:26,520 Speaker 1: will suicide you. I don't know, I'm guessing, but somehow 537 00:29:26,560 --> 00:29:29,640 Speaker 1: Garland decided to step out of this race, and now 538 00:29:29,680 --> 00:29:32,880 Speaker 1: he's running for secretary of state. We do not want 539 00:29:33,640 --> 00:29:38,160 Speaker 1: a trifecta of Democrats again. I think that this race 540 00:29:38,240 --> 00:29:40,120 Speaker 1: is going to be very tight. We've got to make 541 00:29:40,160 --> 00:29:43,360 Speaker 1: sure that people are supporting Republican candidates. So tell us 542 00:29:43,400 --> 00:29:44,120 Speaker 1: your website. 543 00:29:44,800 --> 00:29:50,360 Speaker 2: So my website is real simple. My name anthonyforlini dot com, 544 00:29:51,480 --> 00:29:54,280 Speaker 2: and that's where you can get information about me. There's 545 00:29:54,320 --> 00:29:57,120 Speaker 2: a donate button, which is so critically important for your 546 00:29:57,200 --> 00:30:01,200 Speaker 2: national audience. This is a critical race. I think it 547 00:30:01,240 --> 00:30:04,120 Speaker 2: has national implications and I think this is something that 548 00:30:05,600 --> 00:30:08,000 Speaker 2: the right person getting in could really make a lot 549 00:30:08,040 --> 00:30:12,240 Speaker 2: of dramatic changes that can be used as an example 550 00:30:12,480 --> 00:30:13,480 Speaker 2: across the country. 551 00:30:14,040 --> 00:30:17,520 Speaker 1: I love how you're like, it's so simple, Anthonyforlini dot 552 00:30:17,520 --> 00:30:19,880 Speaker 1: com because like everybody knows how to spell for Leini, 553 00:30:19,920 --> 00:30:22,120 Speaker 1: it's f O r l I n I. 554 00:30:23,680 --> 00:30:24,719 Speaker 2: Doesn't everyone know that. 555 00:30:25,040 --> 00:30:28,800 Speaker 1: I know, right, we're not all Italian? Okay, right, thank 556 00:30:28,840 --> 00:30:31,840 Speaker 1: you so much. I appreciate you coming on today. Everybody 557 00:30:31,920 --> 00:30:34,400 Speaker 1: check out his site, check out what he's doing. I 558 00:30:34,440 --> 00:30:37,520 Speaker 1: think you said. The President retweeted the article about your 559 00:30:37,760 --> 00:30:41,000 Speaker 1: press release and Elon Musk, so people know that you're 560 00:30:41,040 --> 00:30:43,000 Speaker 1: working hard here. 561 00:30:42,560 --> 00:30:45,440 Speaker 2: We're working hard, but we do need the support of 562 00:30:45,560 --> 00:30:48,080 Speaker 2: all the patriots across the country. So it's not something 563 00:30:48,120 --> 00:30:51,560 Speaker 2: that I don't believe. It's just Michigan that's at stake here. 564 00:30:51,880 --> 00:30:52,960 Speaker 2: The rest of the country is. 565 00:30:52,920 --> 00:30:56,160 Speaker 1: Also absolutely well. Thank you Tony Forlani, thank you for 566 00:30:56,200 --> 00:30:56,600 Speaker 1: coming on. 567 00:30:56,960 --> 00:30:57,480 Speaker 2: Thanks Twitter. 568 00:30:57,560 --> 00:31:00,360 Speaker 1: Appreciate it absolutely and thank you all for listening to 569 00:31:00,480 --> 00:31:02,920 Speaker 1: the Tutor Dixon Podcast. As always. You can get it 570 00:31:02,920 --> 00:31:06,280 Speaker 1: wherever you get your podcasts, the iHeartRadio app, Apple Podcasts. 571 00:31:06,320 --> 00:31:09,240 Speaker 1: You can check out tutordixonpodcast dot com. Also you can 572 00:31:09,280 --> 00:31:11,840 Speaker 1: watch it on Rumble or YouTube at Tutor Dixon. But 573 00:31:11,920 --> 00:31:14,200 Speaker 1: make sure you join us on the Tutor Dixon Podcast 574 00:31:14,280 --> 00:31:15,200 Speaker 1: and have a blessed day