1 00:00:00,800 --> 00:00:04,479 Speaker 1: Welcome to the Tutor Dixon Podcast. You've probably heard Democrats 2 00:00:04,519 --> 00:00:08,799 Speaker 1: across the country totally freaking out about USAID because now 3 00:00:08,920 --> 00:00:12,840 Speaker 1: suddenly we have Donald Trump's administration looking into it, and 4 00:00:12,880 --> 00:00:15,640 Speaker 1: it turns out they don't really want to fund some 5 00:00:15,720 --> 00:00:18,800 Speaker 1: of the things that USAID is funding. And we probably 6 00:00:18,840 --> 00:00:22,279 Speaker 1: didn't actually know what USAID was funding, because if we did, 7 00:00:22,520 --> 00:00:24,919 Speaker 1: the majority of US would come out and say, why 8 00:00:24,960 --> 00:00:28,440 Speaker 1: are our taxpayer dollars going to this? And that question 9 00:00:28,600 --> 00:00:31,920 Speaker 1: then leads to why are democrats so upset about US 10 00:00:31,960 --> 00:00:34,960 Speaker 1: wanting to defund some of these programs? And so to 11 00:00:35,040 --> 00:00:38,080 Speaker 1: figure this out, I'm bringing in Tony Kinnitt. He is 12 00:00:38,080 --> 00:00:41,560 Speaker 1: an investigative columnist for The Daily Signal and a radio 13 00:00:41,600 --> 00:00:46,360 Speaker 1: host at WIBC in Indianapolis. Tony, thank you for joining me. 14 00:00:46,560 --> 00:00:47,159 Speaker 2: Thanks for having me. 15 00:00:47,200 --> 00:00:51,880 Speaker 1: Tutor, absolutely so tell us you've been investigating this whole situation. 16 00:00:52,200 --> 00:00:55,279 Speaker 1: It's very weird to me that everybody is so up 17 00:00:55,320 --> 00:00:57,760 Speaker 1: in arms about this and trying to protect it, because 18 00:00:57,800 --> 00:00:59,520 Speaker 1: I feel like it's kind of like the Wizard of 19 00:01:00,360 --> 00:01:03,080 Speaker 1: when you pull back the curtain, it's something really weird 20 00:01:03,120 --> 00:01:03,640 Speaker 1: behind it. 21 00:01:04,200 --> 00:01:06,520 Speaker 2: So let's go in reverse. Let's talk about optics. So 22 00:01:06,760 --> 00:01:09,640 Speaker 2: the Republicans are, supposedly, according to the legacy media, which 23 00:01:09,640 --> 00:01:12,640 Speaker 2: has lost a considerable amount of influence, by which I 24 00:01:12,680 --> 00:01:15,959 Speaker 2: mean almost all of its influence over the American public. 25 00:01:16,360 --> 00:01:20,480 Speaker 2: Right now, the optics of the situation really demand from 26 00:01:20,480 --> 00:01:24,240 Speaker 2: the opposition party to act calm, collected and just point. 27 00:01:24,400 --> 00:01:27,160 Speaker 2: If you think, really truly that the Republicans are doing 28 00:01:27,240 --> 00:01:31,080 Speaker 2: something terrible and evil and awful and crazy, then just 29 00:01:31,120 --> 00:01:33,280 Speaker 2: like Trump was supposed to do during the Biden administration, 30 00:01:33,600 --> 00:01:36,560 Speaker 2: you simply point and the American people go, oh, wow, 31 00:01:36,640 --> 00:01:39,520 Speaker 2: you're right, you are so much better than what's currently 32 00:01:39,520 --> 00:01:41,840 Speaker 2: going on. But they're not. Instead, they're getting out in 33 00:01:41,840 --> 00:01:44,240 Speaker 2: front of the country and they're screaming we're at war 34 00:01:44,400 --> 00:01:47,200 Speaker 2: and fight on the streets and all of this other 35 00:01:47,240 --> 00:01:51,160 Speaker 2: insane stuff. I mean, actually clipping out their own microphones 36 00:01:51,480 --> 00:01:55,400 Speaker 2: outside of the Treasury Building, screeching in the changing sory. 37 00:01:55,440 --> 00:01:57,360 Speaker 1: Wait, let me just stop you for a second, because 38 00:01:57,400 --> 00:01:59,760 Speaker 1: we I think we have that clip, so let's play that. 39 00:02:00,160 --> 00:02:02,200 Speaker 1: People know, I mean, this is kind of a mashup 40 00:02:02,240 --> 00:02:04,360 Speaker 1: of a bunch of these people doing this, So here 41 00:02:04,440 --> 00:02:06,720 Speaker 1: it is, and then we'll get back to it. 42 00:02:06,760 --> 00:02:10,000 Speaker 2: To our Republican colleagues, if you do not see the light, 43 00:02:10,880 --> 00:02:12,440 Speaker 2: we will bring the fire. 44 00:02:13,240 --> 00:02:13,639 Speaker 3: Who is this? 45 00:02:14,240 --> 00:02:16,680 Speaker 1: We are gonna be in your faith, We are gonna 46 00:02:16,680 --> 00:02:17,640 Speaker 1: be on your asses. 47 00:02:17,800 --> 00:02:21,360 Speaker 2: We have days to stop the destruction of our democracy. 48 00:02:21,400 --> 00:02:22,520 Speaker 1: We have work to do. 49 00:02:22,720 --> 00:02:27,280 Speaker 2: Tell Elon Musk to take his hands off your money. 50 00:02:27,639 --> 00:02:30,880 Speaker 2: We don't pledge allegiance to the creepy twenty two year 51 00:02:30,919 --> 00:02:33,920 Speaker 2: olds working for Elon Musk. We pledge allegiance to the 52 00:02:34,000 --> 00:02:35,320 Speaker 2: United States of America. 53 00:02:35,440 --> 00:02:39,720 Speaker 1: Hey, goddamn is shut down the city. We are war. 54 00:02:40,200 --> 00:02:41,320 Speaker 1: We will win. 55 00:02:42,040 --> 00:02:47,040 Speaker 3: We will win, we will we will rest. 56 00:02:47,680 --> 00:02:49,440 Speaker 2: We won't rest. 57 00:02:50,520 --> 00:02:51,280 Speaker 1: There's so much to. 58 00:02:51,280 --> 00:02:55,200 Speaker 2: Unpact there, I mean, besides the cringe that actually stooped 59 00:02:55,240 --> 00:02:57,639 Speaker 2: my posture. Let me just pick that back up again here, 60 00:02:58,160 --> 00:03:01,360 Speaker 2: I mean, my goodness, the embarrassed. I do want to 61 00:03:01,360 --> 00:03:04,280 Speaker 2: point out that, and I mentioned that this morning, that 62 00:03:04,440 --> 00:03:07,120 Speaker 2: they are acting in a way that reeks of guilt, 63 00:03:07,520 --> 00:03:09,800 Speaker 2: of shame and desperation. And what do they have to have, 64 00:03:09,880 --> 00:03:12,440 Speaker 2: you know, such guilt and shame and desperation over these 65 00:03:12,480 --> 00:03:15,959 Speaker 2: are simply financial disbursements that have been revealed to the 66 00:03:16,000 --> 00:03:19,880 Speaker 2: American people. That's it. They're angry about the freezing of 67 00:03:19,880 --> 00:03:22,760 Speaker 2: the fund, Sure, but what they're mostly upset about, as 68 00:03:22,800 --> 00:03:27,000 Speaker 2: they have consistently shown, is that these funding programs have 69 00:03:27,160 --> 00:03:31,800 Speaker 2: gone towards the most abysmally un American things in entirely 70 00:03:31,919 --> 00:03:36,840 Speaker 2: un American places. I mean, from spreading atheism in Nepal 71 00:03:37,400 --> 00:03:41,560 Speaker 2: literally quote expand atheism end quote in Nepal to dei 72 00:03:41,680 --> 00:03:44,720 Speaker 2: musicals in Ireland. There are so many of these that 73 00:03:44,840 --> 00:03:47,400 Speaker 2: the list is growing. My producer right now, in real time, 74 00:03:47,520 --> 00:03:50,360 Speaker 2: is actually adding additional things we're finding to the Google 75 00:03:50,400 --> 00:03:53,200 Speaker 2: document that I'm reading from on things that the US 76 00:03:53,240 --> 00:03:58,040 Speaker 2: AID program has coughed up money for over the last 77 00:03:58,160 --> 00:04:01,160 Speaker 2: ten years. And you go back even further and it 78 00:04:01,240 --> 00:04:04,320 Speaker 2: just gets worse as time goes on. So they're embarrassed 79 00:04:04,320 --> 00:04:08,360 Speaker 2: because it looks like the swamp rhetoric was entirely correct 80 00:04:08,400 --> 00:04:10,880 Speaker 2: the entire time. This is easily the biggest money laundering 81 00:04:10,920 --> 00:04:13,560 Speaker 2: scheme in US history, if not in world history. 82 00:04:13,840 --> 00:04:16,600 Speaker 1: So you say money laundering, let's get into that, because 83 00:04:16,680 --> 00:04:19,680 Speaker 1: I just heard those Democrats freaking out and saying, tell 84 00:04:19,680 --> 00:04:22,120 Speaker 1: Elon Musk to get his hands off your money. Wait 85 00:04:22,160 --> 00:04:25,159 Speaker 1: a minute, this isn't going to Elon Musk. This is 86 00:04:25,200 --> 00:04:28,560 Speaker 1: going to like a million and a half dollars to 87 00:04:28,640 --> 00:04:32,280 Speaker 1: advance diversity and equity and inclusion in Serbia. I mean 88 00:04:32,320 --> 00:04:36,800 Speaker 1: these it's like seventy thousand dollars for the Dei Musical 89 00:04:36,839 --> 00:04:39,479 Speaker 1: in Ireland. I mean two and a half million dollars 90 00:04:39,560 --> 00:04:44,360 Speaker 1: for electric vehicles in Vietnam. Why and that those are 91 00:04:44,520 --> 00:04:46,960 Speaker 1: those seem like, oh, those are not that big of numbers. 92 00:04:47,760 --> 00:04:49,960 Speaker 1: These are This is what adds up. This is this 93 00:04:50,000 --> 00:04:51,720 Speaker 1: is what we call the pork. Why do we have this? 94 00:04:51,839 --> 00:04:55,280 Speaker 1: Why aren't we getting this out of our taxpayer dollars? 95 00:04:55,279 --> 00:04:57,760 Speaker 1: Why are we spending this money? And that's my question 96 00:04:57,800 --> 00:05:00,599 Speaker 1: to you. Why are they so pritty detective of this? 97 00:05:00,680 --> 00:05:03,039 Speaker 1: You talked about money laundering? How's that working? What do 98 00:05:03,080 --> 00:05:03,680 Speaker 1: you mean by that? 99 00:05:04,160 --> 00:05:07,160 Speaker 2: So the core issue in this particular case, let's take 100 00:05:07,160 --> 00:05:09,800 Speaker 2: a look at the BBC in Politico. So BBC has 101 00:05:09,800 --> 00:05:14,320 Speaker 2: been funded by USAID the British Broadcasting Corporation. Now BBC 102 00:05:14,400 --> 00:05:17,520 Speaker 2: has clarified that it only funded part of a BBC charity, 103 00:05:17,960 --> 00:05:22,480 Speaker 2: which is rather suspicious. Why isn't BBC giving to its 104 00:05:22,560 --> 00:05:26,200 Speaker 2: charity or not? Why is USA doing so? Why did 105 00:05:26,240 --> 00:05:30,520 Speaker 2: Politico take eight million dollars from USAID in twenty twenty four? 106 00:05:30,800 --> 00:05:32,760 Speaker 2: This is an issue. It's an issue because of conflict 107 00:05:32,760 --> 00:05:37,119 Speaker 2: of interest. First of all, because certain groups have certain 108 00:05:37,160 --> 00:05:42,080 Speaker 2: political leanings and there are certain activities in political factionisms 109 00:05:42,240 --> 00:05:45,360 Speaker 2: that exist within things like diversity, equity and inclusion plays 110 00:05:45,440 --> 00:05:49,960 Speaker 2: or transgender comics in Peru or transgender operas in Colombia. 111 00:05:50,240 --> 00:05:52,599 Speaker 2: And whether or not it's five dollars to the program 112 00:05:52,720 --> 00:05:55,960 Speaker 2: or five million dollars to the program, it is taking 113 00:05:56,000 --> 00:05:59,440 Speaker 2: the taxpayers money and using it towards the political aims 114 00:05:59,520 --> 00:06:02,280 Speaker 2: of the last whether it's via culture, whether it's via 115 00:06:02,400 --> 00:06:06,720 Speaker 2: means of governmental policy, or whether it's via US diplomatic action, 116 00:06:07,000 --> 00:06:09,880 Speaker 2: which is what USAID is supposed to be used for. 117 00:06:10,440 --> 00:06:14,359 Speaker 2: And it's when we say money laundering. These are special 118 00:06:14,400 --> 00:06:17,800 Speaker 2: interest groups that are connected with members of the Democratic Senate, 119 00:06:17,960 --> 00:06:20,440 Speaker 2: members of the Democratic House, and then members of prior 120 00:06:20,480 --> 00:06:23,920 Speaker 2: democratic administrations as well as in federal agencies who vote 121 00:06:24,080 --> 00:06:30,760 Speaker 2: as USAID staffers do ninety seven percent Democrat. Just looking 122 00:06:30,800 --> 00:06:32,960 Speaker 2: over the list here, it seems that there is a 123 00:06:33,120 --> 00:06:37,279 Speaker 2: large financial organization which was unaccountable for ages that was 124 00:06:37,440 --> 00:06:41,040 Speaker 2: just donating money left and right. Excuse me, donating your 125 00:06:41,240 --> 00:06:44,719 Speaker 2: money left and right only to the left and doing 126 00:06:44,760 --> 00:06:47,080 Speaker 2: so in ways that when people tried to say, well, 127 00:06:47,120 --> 00:06:49,920 Speaker 2: what are you funding? You know, they threatened to sue 128 00:06:50,600 --> 00:06:54,000 Speaker 2: Jody Earn or excuse me, they sue Jony Ernst from Iowa, 129 00:06:54,279 --> 00:06:56,839 Speaker 2: the Senator because she had the goal to ask what 130 00:06:56,960 --> 00:06:58,279 Speaker 2: is it that you guys are funding? 131 00:06:58,960 --> 00:07:01,440 Speaker 1: So why is there no I mean, because that's pretty 132 00:07:01,839 --> 00:07:04,640 Speaker 1: standard procedure when you have a group like this that 133 00:07:04,800 --> 00:07:08,279 Speaker 1: is using taxpayer dollars that there is oversight. There seems 134 00:07:08,320 --> 00:07:11,280 Speaker 1: to be no oversight, and just there also seems to 135 00:07:11,280 --> 00:07:13,520 Speaker 1: be an agenda. And I think that people are misled 136 00:07:13,600 --> 00:07:16,520 Speaker 1: by what they see on the news when they hear USAID. 137 00:07:16,960 --> 00:07:19,280 Speaker 1: I think the majority of people think that this is 138 00:07:19,360 --> 00:07:22,720 Speaker 1: actually aid going to countries. I mean, hear you hear 139 00:07:23,040 --> 00:07:25,560 Speaker 1: Bill Gates talking about vaccines. I think people think this 140 00:07:25,680 --> 00:07:29,840 Speaker 1: is critical food, critical supplies. But you mentioned a transgender 141 00:07:29,880 --> 00:07:33,520 Speaker 1: opera in Colombia, the transgender comic book in Peru. I mean, 142 00:07:33,520 --> 00:07:39,480 Speaker 1: we're talking about two million dollars for sex changes in Guatemala. 143 00:07:40,040 --> 00:07:44,640 Speaker 1: Why is there such an lgbt Q aspect of this 144 00:07:44,760 --> 00:07:48,480 Speaker 1: and why are we not allowed to investigate? Why is 145 00:07:48,520 --> 00:07:49,440 Speaker 1: there no oversight? 146 00:07:49,880 --> 00:07:53,000 Speaker 2: Well, so to answer the smaller question at the end, 147 00:07:53,000 --> 00:07:55,360 Speaker 2: there first why is there so much LGBTQ funding. It's 148 00:07:55,360 --> 00:07:58,640 Speaker 2: an affirmation thing because in the real world, with actual, 149 00:07:58,720 --> 00:08:01,440 Speaker 2: real people that aren't watching American Culture twenty four to seven, 150 00:08:02,000 --> 00:08:07,880 Speaker 2: lgb pops up exceptionally rarely. The te pops up zero. 151 00:08:08,200 --> 00:08:11,400 Speaker 2: Outside of individuals who are suffering from gender dysphoria, it 152 00:08:11,440 --> 00:08:13,880 Speaker 2: doesn't happen. So if we're actually going to talk about 153 00:08:13,920 --> 00:08:16,280 Speaker 2: things that deserve any kind of funding at all, pretending 154 00:08:16,280 --> 00:08:18,880 Speaker 2: that LGBTQ needs to be felt around the world as 155 00:08:18,920 --> 00:08:22,080 Speaker 2: a way to make some wine mom in Kansas feel better, 156 00:08:22,440 --> 00:08:25,800 Speaker 2: So that would be one number two. As far as 157 00:08:25,880 --> 00:08:28,520 Speaker 2: the entirety of usaid funding and why we're you know, 158 00:08:28,560 --> 00:08:31,040 Speaker 2: I thought it was funding you know, countries, and why 159 00:08:31,120 --> 00:08:33,400 Speaker 2: isn't their accountability for this? Well, to be fair, the 160 00:08:33,480 --> 00:08:37,000 Speaker 2: USA does actually give aid in food and health to 161 00:08:37,040 --> 00:08:39,199 Speaker 2: other areas around the world. It just ended up being 162 00:08:39,280 --> 00:08:42,280 Speaker 2: nine million dollars that went directly to Syrian terrorists who 163 00:08:42,440 --> 00:08:45,520 Speaker 2: slaughtered women and children. So glad to know that we're 164 00:08:45,520 --> 00:08:48,800 Speaker 2: feeding the bellies of men's committing you know, an actual genocide. 165 00:08:49,160 --> 00:08:53,000 Speaker 2: Not to mention, I guess we could have fed children, 166 00:08:53,080 --> 00:08:55,160 Speaker 2: but we did spend twenty million dollars on a sesame 167 00:08:55,240 --> 00:08:58,640 Speaker 2: street show in Iraq. So it's kind of feeding the 168 00:08:58,679 --> 00:09:02,480 Speaker 2: heart and soul because the reason there's not bad. 169 00:09:02,679 --> 00:09:05,520 Speaker 1: It's just shocking. I mean, you can't even make it 170 00:09:05,600 --> 00:09:08,040 Speaker 1: up when you look at this, and like I said, 171 00:09:09,000 --> 00:09:12,200 Speaker 1: it seems like small numbers when you break them apart, 172 00:09:12,240 --> 00:09:14,720 Speaker 1: and that is there. A reason for that is if 173 00:09:14,960 --> 00:09:18,199 Speaker 1: you spread it all around, all these billions around to 174 00:09:18,559 --> 00:09:20,679 Speaker 1: a bunch of different organizations, it's harder to. 175 00:09:20,679 --> 00:09:23,960 Speaker 2: Follow it is. That's part of it. Also, just it 176 00:09:24,000 --> 00:09:26,280 Speaker 2: flags less. Think about it this way. I'm sure that 177 00:09:26,280 --> 00:09:28,760 Speaker 2: you file expense reports when you travel. I file expense 178 00:09:28,840 --> 00:09:32,040 Speaker 2: reports when I travel for the daily signal, and when 179 00:09:32,040 --> 00:09:35,960 Speaker 2: I do, if I spend less than twenty five dollars 180 00:09:36,000 --> 00:09:38,319 Speaker 2: on a meal receipt, I don't have to provide a receipt. 181 00:09:38,360 --> 00:09:39,839 Speaker 2: I can just say, hey, for this meal, this is 182 00:09:39,840 --> 00:09:41,280 Speaker 2: where I went, this is how much it costs. If 183 00:09:41,280 --> 00:09:43,560 Speaker 2: it's under twenty five dollars, nine times out of ten, 184 00:09:43,600 --> 00:09:47,360 Speaker 2: accounting will be like, yeah, that sounds reasonable, no problem. Well, 185 00:09:47,440 --> 00:09:52,560 Speaker 2: if you were acting uncharitably, you could try squeezing a 186 00:09:52,559 --> 00:09:56,400 Speaker 2: little bit through that. That kindness, right, because it's annoying 187 00:09:56,440 --> 00:09:58,880 Speaker 2: to keep a receipt from McDonald's, so you know, I 188 00:09:58,880 --> 00:10:00,480 Speaker 2: don't have to send that in. Well, if they keep 189 00:10:00,480 --> 00:10:02,360 Speaker 2: it in just a couple of million or a couple 190 00:10:02,400 --> 00:10:04,520 Speaker 2: of thousand, who's going to look over their shoulder when 191 00:10:04,520 --> 00:10:07,840 Speaker 2: the budget of the United States is so inherently large 192 00:10:08,040 --> 00:10:11,439 Speaker 2: and there's no accountability on any of this because Congress 193 00:10:11,480 --> 00:10:14,640 Speaker 2: is full of apathetic, lazy goobers who are more interested 194 00:10:14,640 --> 00:10:18,000 Speaker 2: in campaigning than retaining their rights, and a lot of 195 00:10:18,040 --> 00:10:22,320 Speaker 2: these systems like USAID, for example, are unaccountable, meaning the 196 00:10:22,360 --> 00:10:24,880 Speaker 2: president doesn't have to explain why this money was spent 197 00:10:24,960 --> 00:10:28,840 Speaker 2: before Congress. Because it was a Cold War organization, it 198 00:10:28,880 --> 00:10:31,600 Speaker 2: was meant to give the president a diplomatic arm in 199 00:10:31,640 --> 00:10:35,400 Speaker 2: addition to his military arm, to stop communism around the 200 00:10:35,400 --> 00:10:38,480 Speaker 2: globe by bribing countries to work with US instead of Russia. 201 00:10:39,120 --> 00:10:41,920 Speaker 2: The Cold War ended in ninety one. Guys, I mean, 202 00:10:41,920 --> 00:10:44,600 Speaker 2: I'm not sure what we're doing, you know, looking around 203 00:10:44,679 --> 00:10:48,760 Speaker 2: left and right pretending that I mean, we still need 204 00:10:48,840 --> 00:10:52,000 Speaker 2: the USAID and they're not even doing a pro America mission. 205 00:10:52,040 --> 00:10:53,960 Speaker 2: I don't know what the United States should have to 206 00:10:54,000 --> 00:10:58,160 Speaker 2: do with sending Ukrainians to Paris Fashion Week, but here 207 00:10:58,200 --> 00:10:58,520 Speaker 2: we are. 208 00:10:58,960 --> 00:11:02,680 Speaker 1: So you talk about and Congress has its own slush fund, 209 00:11:02,800 --> 00:11:05,240 Speaker 1: or it had its own slush fund. This was to 210 00:11:05,280 --> 00:11:08,760 Speaker 1: pay off people who said congressmen and women had done 211 00:11:08,760 --> 00:11:11,920 Speaker 1: horrible things to them, and that hasn't come out. That 212 00:11:12,040 --> 00:11:15,360 Speaker 1: should come out. I imagine that they're not interested in 213 00:11:15,559 --> 00:11:18,520 Speaker 1: outing other people when they have their own plank in 214 00:11:18,559 --> 00:11:20,880 Speaker 1: their eye and they don't want people to see the 215 00:11:20,960 --> 00:11:24,480 Speaker 1: money they're spending. This is, to me brings us full 216 00:11:24,520 --> 00:11:27,400 Speaker 1: circle back to Elon Musk, who's like, you know what, 217 00:11:27,440 --> 00:11:29,880 Speaker 1: don't pay me, I'm just going to audit the books. No, 218 00:11:30,000 --> 00:11:33,319 Speaker 1: but why are suddenly, why suddenly is everybody so opposed 219 00:11:33,320 --> 00:11:34,480 Speaker 1: to auditing the books? 220 00:11:35,360 --> 00:11:37,719 Speaker 2: I mean, I really love the defense and I was 221 00:11:37,760 --> 00:11:39,800 Speaker 2: going to mention this the last time that you said it. 222 00:11:40,120 --> 00:11:42,480 Speaker 2: I love that Elon Musk is after your money. Tell 223 00:11:42,559 --> 00:11:45,360 Speaker 2: Elon to keep his hands off or money. He's not 224 00:11:45,760 --> 00:11:48,319 Speaker 2: being paid. He's not being paid for that. I mean, 225 00:11:48,400 --> 00:11:51,040 Speaker 2: he's refused payment for this. He is a private commission. 226 00:11:51,120 --> 00:11:54,320 Speaker 2: By the way, a United States citizen. Everyone talking about 227 00:11:54,320 --> 00:11:57,080 Speaker 2: this foreigner, Oh, immigrants are bad all of the sudden. Boy, 228 00:11:57,120 --> 00:11:57,679 Speaker 2: that was quick. 229 00:11:57,920 --> 00:11:59,800 Speaker 1: Yeah, my valid point. 230 00:12:00,480 --> 00:12:03,720 Speaker 3: Yes, I appreciate that goodness, gracious, but in not being 231 00:12:03,760 --> 00:12:07,800 Speaker 3: paid just again revealing things that when I have sent 232 00:12:07,840 --> 00:12:10,480 Speaker 3: Foyer request before documents that have been sent back to 233 00:12:10,520 --> 00:12:13,120 Speaker 3: me redacted with no reason, with no moratal cause, with 234 00:12:13,240 --> 00:12:16,840 Speaker 3: no national security cause, they're blacked out. 235 00:12:16,840 --> 00:12:19,760 Speaker 2: Why Well, because we said so. They're upset about that, 236 00:12:19,800 --> 00:12:22,640 Speaker 2: because there are things that are going to be revealed. 237 00:12:22,640 --> 00:12:25,640 Speaker 2: I try not to be extremely conspiratorial about what I 238 00:12:25,679 --> 00:12:28,560 Speaker 2: believe is going on, because it's easier to apply ignorance 239 00:12:28,600 --> 00:12:32,280 Speaker 2: and selfishness before just straight malice. But I am running 240 00:12:32,320 --> 00:12:37,640 Speaker 2: out of reasons. That's called Rockham's razor, to assume basically 241 00:12:37,679 --> 00:12:40,840 Speaker 2: the best until you have the absolute worst. There's really 242 00:12:40,880 --> 00:12:43,640 Speaker 2: little reason at this point not to believe, given what 243 00:12:43,679 --> 00:12:46,160 Speaker 2: we have seen funded here, that we're not going to 244 00:12:46,240 --> 00:12:50,800 Speaker 2: find money that eventually goes to Act Blue or through 245 00:12:50,880 --> 00:12:54,880 Speaker 2: other Democratic fundraising platforms, or possibly to direct business interests 246 00:12:54,880 --> 00:12:58,719 Speaker 2: tied to Pelosi or Elizabeth Warren or Bunny Sundo's. I mean, 247 00:12:59,000 --> 00:13:01,199 Speaker 2: who knows at this point could be funding onesies for 248 00:13:01,320 --> 00:13:03,280 Speaker 2: Puny Sundas. Who knows. 249 00:13:05,120 --> 00:13:08,680 Speaker 1: That to this day, I'm like the amount of emotion 250 00:13:08,880 --> 00:13:12,880 Speaker 1: he expressed over a ones a child's onesie, I'm like 251 00:13:13,000 --> 00:13:16,440 Speaker 1: good grief, And that is another thing because those people 252 00:13:16,480 --> 00:13:21,000 Speaker 1: will will they will sit in a hearing and look 253 00:13:21,040 --> 00:13:24,400 Speaker 1: at the camera and say I've never taken money from 254 00:13:24,440 --> 00:13:27,520 Speaker 1: pharmaceutical companies, which we know is a total lie. And 255 00:13:27,559 --> 00:13:29,600 Speaker 1: that's why when I see this, I go, Okay, what 256 00:13:29,720 --> 00:13:32,360 Speaker 1: are you hiding? And that's why I wanted to talk 257 00:13:32,400 --> 00:13:35,120 Speaker 1: about what do you mean when you say money laundering? 258 00:13:35,200 --> 00:13:38,600 Speaker 1: Because well, here we have six million dollars to fund 259 00:13:38,600 --> 00:13:42,560 Speaker 1: tourism in Egypt. Is that money going again coming back? 260 00:13:44,960 --> 00:13:47,880 Speaker 2: I mean, we're really running a travel agency here. This 261 00:13:47,920 --> 00:13:50,160 Speaker 2: is is quite wonderful. 262 00:13:50,440 --> 00:13:54,280 Speaker 1: For two countries who have certain visitors are not allowed 263 00:13:54,320 --> 00:13:54,760 Speaker 1: to go to. 264 00:13:55,000 --> 00:13:57,720 Speaker 2: So I can answer the money laundering thing. Oh yeah, 265 00:13:57,720 --> 00:13:59,600 Speaker 2: that's a very good point. Yeah, Marco Rubio is going 266 00:13:59,640 --> 00:14:01,200 Speaker 2: to have some words to say about that as the 267 00:14:01,200 --> 00:14:04,360 Speaker 2: Secretary of State, I guarantee it. I hope he gripes 268 00:14:04,360 --> 00:14:06,480 Speaker 2: at them in Spanish because it's just more entertaining to 269 00:14:06,559 --> 00:14:09,439 Speaker 2: listen to. I mean, there's something about being lectured by 270 00:14:09,440 --> 00:14:11,800 Speaker 2: someone I went to college and lived in and out 271 00:14:11,800 --> 00:14:15,080 Speaker 2: of homes that spoke Spanish. To hear a kid lectured 272 00:14:15,240 --> 00:14:17,720 Speaker 2: from their parent in Spanish is one of the greatest 273 00:14:17,720 --> 00:14:20,280 Speaker 2: things that one can hear. It's amazing. I hope Secretary 274 00:14:20,280 --> 00:14:23,880 Speaker 2: of Rubio does that anyway to the money laundering issue, 275 00:14:23,920 --> 00:14:26,040 Speaker 2: Here's why this is money laundering. Here's how this works 276 00:14:26,080 --> 00:14:28,160 Speaker 2: in the grown up world. So I do voice acting 277 00:14:28,160 --> 00:14:30,440 Speaker 2: from time to time, and there was a time in 278 00:14:30,480 --> 00:14:33,200 Speaker 2: which I work for a kind of a guild firm, 279 00:14:33,840 --> 00:14:36,080 Speaker 2: because voice actors aren't important enough to have in visual 280 00:14:36,080 --> 00:14:40,320 Speaker 2: agents unless you're very, very big. And to provide favors 281 00:14:40,760 --> 00:14:43,880 Speaker 2: for a group that we wanted to pay but didn't 282 00:14:43,920 --> 00:14:47,000 Speaker 2: want to be seen paying, I would do work for 283 00:14:47,240 --> 00:14:50,360 Speaker 2: scale by voice acting for them for free or for 284 00:14:50,440 --> 00:14:53,760 Speaker 2: a largely reduced rate, so they are still receiving, in essence, 285 00:14:53,800 --> 00:14:56,480 Speaker 2: let's say six hundred dollars worth of services, but I 286 00:14:56,520 --> 00:15:00,280 Speaker 2: am only receiving one hundred dollars for it. Therefore, five 287 00:15:00,320 --> 00:15:03,960 Speaker 2: hundred dollars in value has essentially changed hands without the 288 00:15:04,000 --> 00:15:08,360 Speaker 2: irs being any the wiser, and I've worked what's called 289 00:15:08,480 --> 00:15:13,080 Speaker 2: for scale. This is done in the money laundering governmental 290 00:15:13,120 --> 00:15:15,800 Speaker 2: agencies like this. If there is an organization that I'm 291 00:15:15,800 --> 00:15:18,720 Speaker 2: just going to pick a random congressman, let's say Maxine Waters. 292 00:15:18,960 --> 00:15:22,840 Speaker 2: Maxine Waters really wants this organization funded. She talks to 293 00:15:22,880 --> 00:15:26,040 Speaker 2: them and then she gets someone inside. Again, this hypothetical 294 00:15:26,040 --> 00:15:30,800 Speaker 2: situation from USAID to fund let's pick one of them here, 295 00:15:32,080 --> 00:15:36,000 Speaker 2: one million dollars for risky research in a certain Wuhan laboratory. 296 00:15:36,880 --> 00:15:40,480 Speaker 2: They make that donation, and then Maxine Waters might get 297 00:15:40,480 --> 00:15:44,480 Speaker 2: a gift card from a foreign government or entity donated 298 00:15:44,520 --> 00:15:47,840 Speaker 2: through Act Blue, which the House is currently investigating right 299 00:15:47,880 --> 00:15:50,920 Speaker 2: now and very very illegal. That's how money laundering works 300 00:15:50,920 --> 00:15:51,600 Speaker 2: in these systems. 301 00:15:51,840 --> 00:15:54,200 Speaker 1: Stay tuned for more with Tony Kinnitt. But first let 302 00:15:54,280 --> 00:15:56,960 Speaker 1: me tell you about my partners at Preborn. As long 303 00:15:57,000 --> 00:15:59,520 Speaker 1: as the abortion pill is legally mailed and taken in 304 00:15:59,600 --> 00:16:03,320 Speaker 1: all fifty states, no state can be abortion free. Abortion 305 00:16:03,440 --> 00:16:06,480 Speaker 1: pills carry distinct risks to mothers and death to babies, 306 00:16:06,720 --> 00:16:09,960 Speaker 1: and now account for over sixty percent of all abortions. 307 00:16:10,280 --> 00:16:13,840 Speaker 1: Preborn's networkup clinics shine a light into the darkness by 308 00:16:13,880 --> 00:16:17,880 Speaker 1: offering free services to women considering the future of their baby, 309 00:16:18,120 --> 00:16:22,920 Speaker 1: including abortion reversal pill. This powerful remedy can help reverse 310 00:16:23,000 --> 00:16:26,200 Speaker 1: the curse of this toxic pill. Preborn reaches into the 311 00:16:26,200 --> 00:16:29,760 Speaker 1: heart of babies and mothers with God's love and compassion, 312 00:16:30,120 --> 00:16:33,800 Speaker 1: and to date they've rescued over three hundred thousand babies. 313 00:16:34,080 --> 00:16:37,640 Speaker 1: Your tax deductable monthly support of any amount is crucial 314 00:16:37,680 --> 00:16:40,720 Speaker 1: in the fight for life. All proceeds go toward life, 315 00:16:40,800 --> 00:16:43,960 Speaker 1: and together we can reverse the curse. Saving babies isn't 316 00:16:44,000 --> 00:16:46,720 Speaker 1: just about one life, It's about saving the heartbeat of 317 00:16:46,760 --> 00:16:50,200 Speaker 1: the entire nation. To donate, please call pound two fifty 318 00:16:50,240 --> 00:16:53,880 Speaker 1: and say the keyword baby. That's pound two fifty baby. 319 00:16:54,160 --> 00:16:57,840 Speaker 1: Or visit preborn dot com slash dixon. It's preborn dot 320 00:16:57,880 --> 00:17:01,400 Speaker 1: com slash dixon. We've got more coming up after this. 321 00:17:04,800 --> 00:17:07,160 Speaker 1: We were at a meeting the other day here locally, 322 00:17:07,280 --> 00:17:10,040 Speaker 1: and there were local folks that were saying, there's all 323 00:17:10,040 --> 00:17:13,480 Speaker 1: these foreign actors that are working in our elections, and 324 00:17:13,560 --> 00:17:15,960 Speaker 1: how do we stop the Democrats from taking money from 325 00:17:15,960 --> 00:17:19,320 Speaker 1: other countries? And it was kind of interesting because I 326 00:17:19,359 --> 00:17:21,960 Speaker 1: looked at the person next to me and I'm like, well, 327 00:17:22,000 --> 00:17:24,520 Speaker 1: we're not allowed to take money from other countries, but 328 00:17:24,600 --> 00:17:28,359 Speaker 1: we do wonder how do the Democrats get this massive 329 00:17:28,359 --> 00:17:31,359 Speaker 1: amount of money? Do you think that that is true 330 00:17:31,400 --> 00:17:35,040 Speaker 1: that there is money coming into their campaigns from other 331 00:17:35,119 --> 00:17:37,840 Speaker 1: countries and potentially other governments. 332 00:17:38,520 --> 00:17:40,320 Speaker 2: I do, but I also think that it comes from 333 00:17:40,359 --> 00:17:43,640 Speaker 2: the money not spent. IDEA, let's say. 334 00:17:44,400 --> 00:17:46,280 Speaker 1: You are paying kind donations. 335 00:17:46,680 --> 00:17:49,639 Speaker 2: Yeah, kind of the idea that you know I'm planning on. 336 00:17:50,760 --> 00:17:52,280 Speaker 2: I don't know. I know this next year, I'm going 337 00:17:52,320 --> 00:17:54,840 Speaker 2: to have to replace the tires on my car, and 338 00:17:54,840 --> 00:17:56,440 Speaker 2: that is money that I've set aside that I am 339 00:17:56,440 --> 00:17:59,080 Speaker 2: going to spend there. But some kindly person comes over 340 00:17:59,119 --> 00:18:01,359 Speaker 2: and says, you know what, I am going to buy 341 00:18:01,440 --> 00:18:03,439 Speaker 2: the foreign new tires for your car. And now I 342 00:18:03,480 --> 00:18:05,440 Speaker 2: have this extra money to spend. Oh what am I 343 00:18:05,480 --> 00:18:07,520 Speaker 2: going to do with this extra money? If I'm running 344 00:18:07,520 --> 00:18:09,440 Speaker 2: for office? Maybe that money now can be used for 345 00:18:09,480 --> 00:18:12,520 Speaker 2: my political campaign. This is the issue with the BBC 346 00:18:12,720 --> 00:18:15,240 Speaker 2: that we mentioned earlier. Why is USA donating to a 347 00:18:15,280 --> 00:18:19,520 Speaker 2: BBC charity instead of BBC donating to their charity. What 348 00:18:19,560 --> 00:18:22,480 Speaker 2: did BBC then use that money they would have spent 349 00:18:22,920 --> 00:18:25,920 Speaker 2: on their own charity? Where did that money go? This 350 00:18:25,960 --> 00:18:28,360 Speaker 2: is how a lot of donation issues are concerned. Same 351 00:18:28,400 --> 00:18:31,359 Speaker 2: with Ukraine. Well we're giving supplies over to Ukraine. Okay, 352 00:18:31,440 --> 00:18:33,199 Speaker 2: where did the money that Ukraine would have spent on 353 00:18:33,280 --> 00:18:37,360 Speaker 2: those supplies ammunitions end up going? Then? Because an amount 354 00:18:37,440 --> 00:18:40,239 Speaker 2: a set amount changed hands, I want to know what 355 00:18:40,320 --> 00:18:44,119 Speaker 2: happened with that net sum and where it went, and 356 00:18:44,160 --> 00:18:47,320 Speaker 2: why my taxpayer dollars are what contributed to it. Maybe 357 00:18:47,400 --> 00:18:50,320 Speaker 2: I'll support it, maybe I won't. That's the real issue 358 00:18:50,359 --> 00:18:52,640 Speaker 2: here is that somewhere there's money that could have gone 359 00:18:52,720 --> 00:18:55,440 Speaker 2: somewhere and could have come from someone's pocket, but instead 360 00:18:55,680 --> 00:18:58,720 Speaker 2: it came from my pocket. And at a time when 361 00:18:59,160 --> 00:19:03,600 Speaker 2: everything's ridiculuslessly expensive, and property taxes certainly aren't low, income 362 00:19:03,640 --> 00:19:06,160 Speaker 2: taxes certainly aren't low. That's a bit of an issue. 363 00:19:06,840 --> 00:19:09,600 Speaker 1: Well, you brought up Wuhan, and I think that's key 364 00:19:09,760 --> 00:19:13,480 Speaker 1: right now because nobody has held China accountable. There's never 365 00:19:13,560 --> 00:19:17,639 Speaker 1: been any repercussions for China after what happened with the 366 00:19:17,760 --> 00:19:21,959 Speaker 1: worldwide pandemic that killed millions of people. And yet you 367 00:19:22,200 --> 00:19:26,119 Speaker 1: start to dig into this USAID situation and you realize 368 00:19:26,119 --> 00:19:29,919 Speaker 1: that there was money that went toward research at the 369 00:19:29,960 --> 00:19:34,560 Speaker 1: Wuhan Lab, which is where we know the coronavirus came from. 370 00:19:35,080 --> 00:19:38,199 Speaker 2: It really is unconscionable to look at the amount of 371 00:19:38,240 --> 00:19:41,520 Speaker 2: cover up that has taken place, especially regarding Anthony Fauci 372 00:19:42,080 --> 00:19:44,600 Speaker 2: and the gain of function research that has occurred for 373 00:19:44,760 --> 00:19:48,359 Speaker 2: years and basically just playing around like a child released 374 00:19:48,359 --> 00:19:52,479 Speaker 2: into a Lego store with mRNA vaccines. By the way, 375 00:19:52,480 --> 00:19:55,800 Speaker 2: as a former science teacher, an anatomy and physiology teacher, 376 00:19:55,880 --> 00:20:00,920 Speaker 2: I understand the mechanisms of mRNA procedures and how chrisoperkasnine 377 00:20:00,960 --> 00:20:03,960 Speaker 2: was discovered, which is kind of like genetic scissors. When 378 00:20:04,000 --> 00:20:06,399 Speaker 2: you start to play with those games, the risk goes 379 00:20:06,560 --> 00:20:10,520 Speaker 2: up exponentially. China was playing with fire. China knew they 380 00:20:10,560 --> 00:20:13,720 Speaker 2: were playing with fire, and yet the United States continued 381 00:20:13,760 --> 00:20:17,200 Speaker 2: to throw money through them and at them, just because 382 00:20:17,200 --> 00:20:20,000 Speaker 2: of the President Obama and George Bushy and doctrine of 383 00:20:20,359 --> 00:20:23,120 Speaker 2: everyone's real good and friendly and love and on the inside, 384 00:20:23,200 --> 00:20:26,040 Speaker 2: you just gotta give enough money to show it, which 385 00:20:26,080 --> 00:20:29,960 Speaker 2: makes no sense whatsoever. But this has been the United 386 00:20:29,960 --> 00:20:33,760 Speaker 2: States approach to foreign policy since the Middle Way Point 387 00:20:33,800 --> 00:20:36,959 Speaker 2: through the Cold War, excluding Reagan. Throw enough money at 388 00:20:36,960 --> 00:20:40,040 Speaker 2: the rest of the world and maybe everything will be fine. Well, 389 00:20:40,240 --> 00:20:43,240 Speaker 2: I'm too familiar with the American public education system to 390 00:20:43,280 --> 00:20:45,440 Speaker 2: tell you that that's a good strategy at all. Throwing 391 00:20:45,440 --> 00:20:47,919 Speaker 2: more money at something exacerbates a problem, it doesn't make 392 00:20:47,960 --> 00:20:48,359 Speaker 2: it better. 393 00:20:48,840 --> 00:20:51,119 Speaker 1: Yeah, well, I wish you could say that to the 394 00:20:51,160 --> 00:20:54,639 Speaker 1: folks here in Michigan who continue to throw money at 395 00:20:54,680 --> 00:20:57,399 Speaker 1: our education system and yet our kids are in the 396 00:20:57,400 --> 00:21:00,360 Speaker 1: worst shape they've ever been. I mean, and we look 397 00:21:00,359 --> 00:21:02,640 Speaker 1: at something outside of just money and that I think 398 00:21:02,680 --> 00:21:06,080 Speaker 1: that is one of the issues that Elon Musk is 399 00:21:06,080 --> 00:21:08,720 Speaker 1: taking on, like that we don't just throw money everywhere. 400 00:21:08,760 --> 00:21:11,120 Speaker 1: It's not making the world better, it's not making our 401 00:21:11,160 --> 00:21:14,520 Speaker 1: country better, and we continue to go deeper into debt. 402 00:21:14,800 --> 00:21:18,679 Speaker 1: One of the big funding buckets, i'd say out of 403 00:21:18,760 --> 00:21:22,800 Speaker 1: USA that we're hearing about is birth control, condoms, birth 404 00:21:22,800 --> 00:21:25,760 Speaker 1: control going And we heard about the fifty million dollars 405 00:21:25,800 --> 00:21:28,840 Speaker 1: of condoms going to Gosen and all the media went out, 406 00:21:28,880 --> 00:21:31,719 Speaker 1: It's not just condoms, it's all kinds of different birth control. 407 00:21:32,480 --> 00:21:36,000 Speaker 1: Why are we taking charge of other people's birth control? 408 00:21:36,560 --> 00:21:39,560 Speaker 2: Again? It comes down to the social engineering of affirmation. 409 00:21:39,720 --> 00:21:41,879 Speaker 2: It all comes down to this. The idea is that 410 00:21:41,920 --> 00:21:44,720 Speaker 2: there is some sad, suburban wine mom who has no faith, 411 00:21:44,760 --> 00:21:47,320 Speaker 2: who has no family, who has no friends, who has 412 00:21:47,359 --> 00:21:50,479 Speaker 2: nothing of substance and purpose, who was led to believe 413 00:21:50,600 --> 00:21:53,199 Speaker 2: throughout her teens and twenties that what you needed to 414 00:21:53,240 --> 00:21:54,880 Speaker 2: do was act like a young adult and an act 415 00:21:54,960 --> 00:21:57,480 Speaker 2: like a kid as long as you can. And that's 416 00:21:57,560 --> 00:22:01,040 Speaker 2: unfulfilling and so crashing down from that of the twenties 417 00:22:01,080 --> 00:22:03,159 Speaker 2: are over. Now they need a purpose, They need a 418 00:22:03,200 --> 00:22:06,080 Speaker 2: cause because humans cannot exist without purpose and without cause, 419 00:22:06,400 --> 00:22:08,560 Speaker 2: So they need something. So they turn to what they know, 420 00:22:08,640 --> 00:22:10,879 Speaker 2: because again they don't have faith, they don't have family, 421 00:22:10,880 --> 00:22:13,240 Speaker 2: they're not active in their community, and what they find 422 00:22:13,520 --> 00:22:15,760 Speaker 2: is a lot of political leftism that is wrapped up 423 00:22:15,840 --> 00:22:18,840 Speaker 2: in hedonism. In other terms, pleasure, what can I get 424 00:22:18,880 --> 00:22:22,080 Speaker 2: out of life? And that leads down the paths of 425 00:22:22,640 --> 00:22:26,040 Speaker 2: all of the stuff regarding abortion because sex has consequences, 426 00:22:26,240 --> 00:22:30,280 Speaker 2: and the LGBTQ plus two IA stuff because sex has consequences. 427 00:22:30,560 --> 00:22:34,280 Speaker 2: And so then once you are spending all of your 428 00:22:34,320 --> 00:22:37,960 Speaker 2: time dealing with that stuff, then you need affirmation because 429 00:22:38,280 --> 00:22:41,200 Speaker 2: that stuff isn't fulfilling either, and so you need others 430 00:22:41,240 --> 00:22:43,200 Speaker 2: to affirm you. And that's what all of these social 431 00:22:43,240 --> 00:22:45,440 Speaker 2: policies are about. It's a way to try to create 432 00:22:45,480 --> 00:22:49,160 Speaker 2: this narrative that the world is progressively moving towards all 433 00:22:49,240 --> 00:22:51,880 Speaker 2: of the prophylactics all the time because everyone's just having 434 00:22:51,920 --> 00:22:54,280 Speaker 2: casual sex and they're all polyamorous, and we're all on 435 00:22:54,280 --> 00:22:56,880 Speaker 2: a spectrum of gender, and that makes them feel better 436 00:22:56,880 --> 00:22:58,639 Speaker 2: for the poor decisions that they have made. 437 00:22:59,320 --> 00:23:02,280 Speaker 1: I mean, it's so interesting because as we see this 438 00:23:02,960 --> 00:23:05,719 Speaker 1: ratchet up in the United States and we see more 439 00:23:05,760 --> 00:23:08,119 Speaker 1: and more of these transgender surgeries and more. I mean, 440 00:23:08,160 --> 00:23:11,280 Speaker 1: we had what Cynthia Nixon out there saying, my child 441 00:23:11,359 --> 00:23:15,560 Speaker 1: is trans, my friend's children are trans, my children's friends 442 00:23:15,560 --> 00:23:17,800 Speaker 1: are trans, and give me a break. There's not that 443 00:23:17,840 --> 00:23:20,400 Speaker 1: many trans people in the world. This is something. There's 444 00:23:20,400 --> 00:23:23,359 Speaker 1: something else going on. Other countries are not doing this. 445 00:23:23,480 --> 00:23:25,479 Speaker 1: In fact, in Europe they were like, actually, this might 446 00:23:25,520 --> 00:23:26,879 Speaker 1: have been a bad idea. We're not going to do 447 00:23:26,920 --> 00:23:30,880 Speaker 1: these surgeries. We're not going to have these puberty blockers anymore. 448 00:23:31,119 --> 00:23:33,800 Speaker 1: This is not healthy. And yet here we are pushing 449 00:23:33,840 --> 00:23:37,360 Speaker 1: it through this organization, with our tax dollars going into 450 00:23:37,440 --> 00:23:40,560 Speaker 1: other countries, trying to make this a thing, and it's 451 00:23:40,600 --> 00:23:43,280 Speaker 1: not a thing. It's only a thing here. I want 452 00:23:43,280 --> 00:23:45,600 Speaker 1: to switch gears a little bit because you are from Indiana. 453 00:23:45,880 --> 00:23:48,760 Speaker 1: I'm from Michigan. One of your people came here. We 454 00:23:48,800 --> 00:23:51,600 Speaker 1: did not welcome them in. They crossed the border illegally, 455 00:23:51,720 --> 00:23:55,600 Speaker 1: but they're here now. We now have Pete Boodhage Edge 456 00:23:55,960 --> 00:24:01,080 Speaker 1: in Traverse City, and the story is that your South 457 00:24:01,119 --> 00:24:06,359 Speaker 1: Bend mayor illegally is here. No, he is allowed apparently 458 00:24:06,440 --> 00:24:09,320 Speaker 1: to run for Senate, but he should not be. So 459 00:24:09,400 --> 00:24:11,520 Speaker 1: he's here to run and people feel that way. I 460 00:24:11,520 --> 00:24:13,440 Speaker 1: got to tell you. People in Michigan are like, wait 461 00:24:13,480 --> 00:24:15,640 Speaker 1: a minute, you don't just skip the line. And Democrats, 462 00:24:15,640 --> 00:24:18,439 Speaker 1: it's not. Republicans kind of like the idea of him 463 00:24:18,520 --> 00:24:21,960 Speaker 1: running because they think that they can beat him. Democrats 464 00:24:21,960 --> 00:24:25,639 Speaker 1: are really mad. They are big mad over Pete coming 465 00:24:25,680 --> 00:24:28,840 Speaker 1: here and saying I've never lived in Michigan. And he 466 00:24:28,880 --> 00:24:30,800 Speaker 1: didn't even live in Michigan the last four years. He's 467 00:24:30,840 --> 00:24:34,159 Speaker 1: been in Washington. So he came here, touched the ground, 468 00:24:34,240 --> 00:24:36,439 Speaker 1: and then went to Washington, and now he's in Michigan 469 00:24:36,560 --> 00:24:39,040 Speaker 1: or and he's running for the Senate. Is what are 470 00:24:39,080 --> 00:24:41,720 Speaker 1: your thoughts on Pete Bodhag Judge running for the Senate here. 471 00:24:41,920 --> 00:24:44,159 Speaker 2: First of all, I can't stop laughing every time I 472 00:24:44,160 --> 00:24:46,800 Speaker 2: think about it. It's really quite great. So I have 473 00:24:46,920 --> 00:24:50,280 Speaker 2: the honor and privilege of having once been named dropped 474 00:24:50,280 --> 00:24:55,840 Speaker 2: in a speech by Chasten his husband partner Guy. And 475 00:24:56,680 --> 00:24:59,600 Speaker 2: I've known of the Buddha Judges for a hot minute. 476 00:24:59,680 --> 00:25:03,120 Speaker 2: They are embarrassment here in Indiana, of course, and I'll 477 00:25:03,119 --> 00:25:05,880 Speaker 2: tell you that the most moderate Democrats have no chance 478 00:25:05,880 --> 00:25:10,000 Speaker 2: of winning in Indiana, but that hasn't stopped Pete since 479 00:25:10,040 --> 00:25:14,160 Speaker 2: his failed mayoral position in South Bend. So to go 480 00:25:14,280 --> 00:25:16,800 Speaker 2: up to Michigan, just like right over the border and 481 00:25:16,920 --> 00:25:20,520 Speaker 2: instantly claim that he's the hallmark of change, mister secretary 482 00:25:20,520 --> 00:25:24,679 Speaker 2: of Transportation again, very bold to run in Michigan, a 483 00:25:24,800 --> 00:25:30,919 Speaker 2: transportation heavy state for Democrats. The UAW hates Pete Bootage Edge. 484 00:25:31,000 --> 00:25:33,240 Speaker 2: I am not sure what he thinks he's doing, but 485 00:25:34,640 --> 00:25:37,400 Speaker 2: I mean the arrogance of Pete bodhaj Edge truly knows 486 00:25:37,440 --> 00:25:40,080 Speaker 2: no limits. So he's in your hands now. 487 00:25:40,600 --> 00:25:44,120 Speaker 1: This is my this is my theory on why people 488 00:25:44,200 --> 00:25:47,800 Speaker 1: come to Michigan. Michigan is Michigan sends people all over 489 00:25:47,840 --> 00:25:50,080 Speaker 1: the country. I mean, you've got Jennifer Granholm who became 490 00:25:50,119 --> 00:25:52,720 Speaker 1: the Energy secretary. You have Gretchen Whitmer, who's tried to 491 00:25:52,760 --> 00:25:55,399 Speaker 1: run for president like four times now, but nobody actually 492 00:25:55,400 --> 00:25:59,760 Speaker 1: knows she's like secretly running. But you do become some 493 00:26:00,240 --> 00:26:02,679 Speaker 1: famous in his swing state because you're out there all 494 00:26:02,760 --> 00:26:05,160 Speaker 1: the time. And so if you're a Democrat, you're really 495 00:26:05,200 --> 00:26:08,960 Speaker 1: out there. They like take the swing state governors and senators, 496 00:26:09,280 --> 00:26:11,879 Speaker 1: and they try to march them around the whole country. 497 00:26:11,920 --> 00:26:15,359 Speaker 1: Why because the races are expensive. They bring in a 498 00:26:15,400 --> 00:26:19,080 Speaker 1: lot of money. They're battling Republicans, and so once they win, 499 00:26:19,320 --> 00:26:21,159 Speaker 1: they end up with all of this name I d 500 00:26:21,359 --> 00:26:24,720 Speaker 1: across the entire country, and I believe you're exactly right. 501 00:26:25,000 --> 00:26:26,919 Speaker 1: He knows he can't win in Indiana. He has no 502 00:26:27,040 --> 00:26:29,960 Speaker 1: chance of being a senator or a governor in Indiana. 503 00:26:30,320 --> 00:26:32,439 Speaker 1: So he crossed the border and he was like, Okay, 504 00:26:32,480 --> 00:26:35,040 Speaker 1: now I'm in one of these swing states, not too 505 00:26:35,119 --> 00:26:37,800 Speaker 1: far from home, and I can get exactly what I 506 00:26:37,800 --> 00:26:40,520 Speaker 1: want here, which is power. It's not about serving the people. 507 00:26:40,680 --> 00:26:42,920 Speaker 1: He didn't care about Michigan. Doesn't care about the people 508 00:26:42,920 --> 00:26:46,159 Speaker 1: in Michigan. Peopod Judge cares about Pete. He wants to 509 00:26:46,200 --> 00:26:49,280 Speaker 1: be more powerful. He wants to prove that his screw 510 00:26:49,359 --> 00:26:53,040 Speaker 1: up at the Department of Transportation was just a momentary, 511 00:26:53,080 --> 00:26:54,520 Speaker 1: that he can go in and be a senator for 512 00:26:54,560 --> 00:26:57,560 Speaker 1: the rest of his life or then run for president again. 513 00:26:58,280 --> 00:27:01,639 Speaker 1: To me, this is like it's great for us, like 514 00:27:01,720 --> 00:27:04,960 Speaker 1: I said, but now you've got the Democrats up in arms, 515 00:27:05,200 --> 00:27:07,520 Speaker 1: and I look at and I think that there's two 516 00:27:07,600 --> 00:27:10,720 Speaker 1: calculations here. Pete Buddha Judge, he raised a lot of 517 00:27:10,760 --> 00:27:13,879 Speaker 1: money when he ran for president, So now the Democrats 518 00:27:13,880 --> 00:27:16,119 Speaker 1: are in a bit of a pickle. Is a Mallori 519 00:27:16,200 --> 00:27:18,919 Speaker 1: mcmarrow who went out and spoke at the DNC but 520 00:27:19,040 --> 00:27:22,000 Speaker 1: kind of came off as a weird, awkward person going 521 00:27:22,040 --> 00:27:24,359 Speaker 1: to be able to raise the kind of money that 522 00:27:24,400 --> 00:27:27,359 Speaker 1: Pete Bota judge, who is very he's very good at talking. 523 00:27:27,560 --> 00:27:30,040 Speaker 1: He's a slick liar, but he's very good at talking. 524 00:27:30,359 --> 00:27:33,960 Speaker 1: So is someone who's been a lifelong Michigander but kind 525 00:27:33,960 --> 00:27:37,840 Speaker 1: of awkward, little bit challenging to have events with. Is 526 00:27:37,880 --> 00:27:40,000 Speaker 1: she going to be able to compete with a Pete 527 00:27:40,000 --> 00:27:42,119 Speaker 1: Boota judge who's been on the national scene. 528 00:27:43,000 --> 00:27:46,680 Speaker 2: You know, I'm not sure at this point if I 529 00:27:46,760 --> 00:27:51,119 Speaker 2: can see Pete Boudhajedge stepping out and making a remarkable 530 00:27:51,119 --> 00:27:54,800 Speaker 2: performance in the primary, specifically because the Democrats have done 531 00:27:54,840 --> 00:27:58,000 Speaker 2: this consistently that they think that again, the cultural identity 532 00:27:58,000 --> 00:28:01,080 Speaker 2: of the person just defeats all. And so the fact 533 00:28:01,080 --> 00:28:02,600 Speaker 2: that Pete Budha Judge comes out and he's like, I'm 534 00:28:02,640 --> 00:28:05,119 Speaker 2: pp Je. Also I'm gay, and it's like I don't 535 00:28:05,160 --> 00:28:08,640 Speaker 2: no one cares. Are you good at your job? No? Well, 536 00:28:08,680 --> 00:28:11,639 Speaker 2: but he's an Ivy leaguer. That's not exactly a riveting 537 00:28:11,760 --> 00:28:15,720 Speaker 2: endorsement there. I'm looking at Pete and I'm looking at 538 00:28:15,880 --> 00:28:19,800 Speaker 2: what accomplishments he's theoretically supposed to have and is that 539 00:28:19,840 --> 00:28:22,640 Speaker 2: going to be enough to swagen the Union voters in Michigan. 540 00:28:23,640 --> 00:28:26,080 Speaker 2: It didn't really work in the presidential I'm not really sure. 541 00:28:26,080 --> 00:28:28,399 Speaker 2: I see the primary voters coming out and going ay 542 00:28:28,400 --> 00:28:30,960 Speaker 2: as you hear about Pete, what a breath of fresh air. 543 00:28:31,600 --> 00:28:33,879 Speaker 2: I'm kind of, I don't know, thinking there might be 544 00:28:33,880 --> 00:28:35,800 Speaker 2: some kind of a dark horse candidate that pops up 545 00:28:35,800 --> 00:28:38,920 Speaker 2: in Michigan to run for the Senate. I mean, former 546 00:28:38,920 --> 00:28:41,680 Speaker 2: football players seem to be all of the rage and 547 00:28:41,720 --> 00:28:45,160 Speaker 2: politics these days. Maybe, unlike Ted Cruz's Senate race, you'll 548 00:28:45,200 --> 00:28:46,960 Speaker 2: have one that I don't know, skips out of the 549 00:28:47,000 --> 00:28:48,920 Speaker 2: lions and runs. That'd be more interesting for me. 550 00:28:49,400 --> 00:28:51,880 Speaker 1: Stick around for more with Tony Kinnett, but first let 551 00:28:51,920 --> 00:28:55,200 Speaker 1: me tell you about my partners at IFCJ. After more 552 00:28:55,240 --> 00:28:58,040 Speaker 1: than a year of war, terror and pain in Israel, 553 00:28:58,240 --> 00:29:01,719 Speaker 1: there is still great demand for basic humanitarian aid. The 554 00:29:01,760 --> 00:29:06,000 Speaker 1: International Fellowship of Christians and Jews has supported and continues 555 00:29:06,040 --> 00:29:08,800 Speaker 1: to support those in the Holy Land still facing the 556 00:29:08,880 --> 00:29:11,840 Speaker 1: lingering horrors of war, and those who are in desperate 557 00:29:11,880 --> 00:29:15,080 Speaker 1: need right now. Your ongoing monthly gift of forty five 558 00:29:15,120 --> 00:29:18,320 Speaker 1: dollars will provide critically needed aid to communities in the 559 00:29:18,360 --> 00:29:22,000 Speaker 1: North and South devastated by the ongoing war. Your generous 560 00:29:22,040 --> 00:29:25,440 Speaker 1: donation each month will help deliver to those in need, 561 00:29:25,680 --> 00:29:31,040 Speaker 1: including evacuees, refugees from warturn areas, first responders and volunteers, 562 00:29:31,360 --> 00:29:36,040 Speaker 1: wounded soldiers, elderly Holocaust survivors, families who have lost everything, 563 00:29:36,320 --> 00:29:39,240 Speaker 1: and so many more. You can provide hope during a 564 00:29:39,280 --> 00:29:42,120 Speaker 1: time of great uncertainty and give a gift to bless 565 00:29:42,200 --> 00:29:46,400 Speaker 1: Israel and her people by visiting SUPPORTIFCJ dot org. That's 566 00:29:46,480 --> 00:29:50,360 Speaker 1: one word support IFCJ dot org or call eight eight 567 00:29:50,400 --> 00:29:55,280 Speaker 1: eight four eight eight IFCJ. That's eight eight eight four 568 00:29:55,320 --> 00:30:00,160 Speaker 1: eight eight IFCJ eight eight eight four eight eight four 569 00:30:00,280 --> 00:30:03,920 Speaker 1: three two five. We've got more coming up after this. 570 00:30:07,440 --> 00:30:10,000 Speaker 1: It's kind of dying down the idea that you can 571 00:30:10,080 --> 00:30:15,400 Speaker 1: broadcast your sexuality, your gender, your race as a reason 572 00:30:15,520 --> 00:30:18,200 Speaker 1: to be hired. And I say that as someone you 573 00:30:18,200 --> 00:30:21,120 Speaker 1: know here I'm a woman who has run for office, 574 00:30:21,520 --> 00:30:23,600 Speaker 1: but I don't think that the fact that I'm a 575 00:30:23,600 --> 00:30:26,240 Speaker 1: woman is what qualifies me office. 576 00:30:26,320 --> 00:30:28,040 Speaker 2: Did you tell did you tell them who you sleep with? 577 00:30:29,280 --> 00:30:31,280 Speaker 2: I'm told that is a winning issue. 578 00:30:31,320 --> 00:30:34,400 Speaker 1: That's true, that's true. Maybe if I were just broadcasting that. 579 00:30:36,200 --> 00:30:39,040 Speaker 2: I can't believe this took. This took our country fifteen 580 00:30:39,120 --> 00:30:43,000 Speaker 2: years to get over. What a weird regression against civil 581 00:30:43,080 --> 00:30:46,240 Speaker 2: rights we took for a decade and a half as 582 00:30:46,360 --> 00:30:47,160 Speaker 2: bewildering to. 583 00:30:47,120 --> 00:30:51,200 Speaker 1: Me, Well, that actually that has been my complaint about 584 00:30:51,440 --> 00:30:55,000 Speaker 1: the fact that really what the Biden administration did where 585 00:30:55,000 --> 00:30:57,440 Speaker 1: they marched people out and said that this is based 586 00:30:57,720 --> 00:31:00,680 Speaker 1: your value is based on your color, it's based on 587 00:31:00,760 --> 00:31:04,760 Speaker 1: your background, because it actually makes it harder for women, 588 00:31:04,880 --> 00:31:08,320 Speaker 1: It makes it harder for people of color to come 589 00:31:08,320 --> 00:31:11,720 Speaker 1: out and run for office, because I mean, I can't 590 00:31:11,720 --> 00:31:13,600 Speaker 1: tell you the number of times that I've gotten you're 591 00:31:13,680 --> 00:31:16,239 Speaker 1: just a DEI hire, And I'm like, I come from 592 00:31:16,280 --> 00:31:18,760 Speaker 1: the steel industry. I know what it's like to walk 593 00:31:18,760 --> 00:31:20,720 Speaker 1: into a room and have someone look at me and go, 594 00:31:21,480 --> 00:31:24,320 Speaker 1: you don't belong here. And the last thing I needed 595 00:31:24,720 --> 00:31:29,360 Speaker 1: was somebody to make to publish documents saying These are 596 00:31:29,400 --> 00:31:31,160 Speaker 1: the people that don't belong, but we're going to put 597 00:31:31,160 --> 00:31:34,160 Speaker 1: them there anyway and give people a reason to doubt me, 598 00:31:34,480 --> 00:31:36,600 Speaker 1: or doubt my friend who is next to me that 599 00:31:36,760 --> 00:31:40,320 Speaker 1: is a black American, or doubt my friend who is 600 00:31:40,480 --> 00:31:43,400 Speaker 1: a gay American. You know these are Don't judge me 601 00:31:43,600 --> 00:31:46,400 Speaker 1: by whether by whether or not I am that. Judge 602 00:31:46,400 --> 00:31:48,640 Speaker 1: me by what I know and how I do the job. 603 00:31:48,920 --> 00:31:53,760 Speaker 2: Phenomenal example Scott Besant. Scott Vessant is an openly gay man. 604 00:31:54,120 --> 00:31:56,640 Speaker 2: Do you know how many Americans know that? Like? Next 605 00:31:56,680 --> 00:31:58,719 Speaker 2: to none? Do you know why? Because when he steps 606 00:31:58,800 --> 00:32:00,400 Speaker 2: up to the plate when he was in that Senate 607 00:32:00,400 --> 00:32:05,320 Speaker 2: confirmation hearing, he was asked repeated grilling questions that were 608 00:32:05,360 --> 00:32:08,880 Speaker 2: about his abilities, and he answered masterfully. I think that 609 00:32:08,920 --> 00:32:12,640 Speaker 2: Bessett is one of the undercovered confirmation hearings that took 610 00:32:12,680 --> 00:32:15,960 Speaker 2: place on the committee floor in the last couple of weeks. 611 00:32:16,200 --> 00:32:19,320 Speaker 2: It was a masterclass in response. It is a perfect 612 00:32:19,400 --> 00:32:24,440 Speaker 2: example of meritocracy and one of Trump's best appointments by far. 613 00:32:24,880 --> 00:32:28,680 Speaker 2: I mean still, just yesterday, Trump was signing executive orders 614 00:32:28,800 --> 00:32:31,520 Speaker 2: and he immediately kicked it over to Scott to explain 615 00:32:31,920 --> 00:32:35,120 Speaker 2: why Trump had signed that executive order. Had Scott just 616 00:32:35,120 --> 00:32:37,720 Speaker 2: started just right off the cuff listing all of the 617 00:32:37,760 --> 00:32:40,160 Speaker 2: reasons why a sovereign fund was good for the United 618 00:32:40,160 --> 00:32:41,760 Speaker 2: States and how it was going to be effective for 619 00:32:41,760 --> 00:32:44,600 Speaker 2: American citizens. None of that has to do with the sexuality, 620 00:32:44,640 --> 00:32:47,320 Speaker 2: which means I don't think, Oh, Scott got that job 621 00:32:47,360 --> 00:32:50,560 Speaker 2: because of who he sleeps with. No, Scott got that 622 00:32:50,680 --> 00:32:53,320 Speaker 2: job because Scott is far better at that job than 623 00:32:53,360 --> 00:32:55,520 Speaker 2: I could ever hope to be. And that is how 624 00:32:55,520 --> 00:32:59,160 Speaker 2: it should be. There's no better standard for that on earth. 625 00:33:00,000 --> 00:33:01,800 Speaker 1: You know, it used to be the people question whether 626 00:33:01,880 --> 00:33:03,760 Speaker 1: or not you slept your way to the top. Now 627 00:33:03,760 --> 00:33:07,000 Speaker 1: it's just you're just watching who you're sleeping with to 628 00:33:07,040 --> 00:33:08,600 Speaker 1: figure out if you can get to the top. It's 629 00:33:08,920 --> 00:33:13,640 Speaker 1: are I know who knew that? Whatever happened, my gosh, 630 00:33:14,000 --> 00:33:17,000 Speaker 1: I guess it makes it better in a certain way. 631 00:33:17,040 --> 00:33:19,160 Speaker 1: But I want to promote your podcast because I know 632 00:33:19,200 --> 00:33:21,240 Speaker 1: it's been such a joy to talk to you today, 633 00:33:21,280 --> 00:33:23,200 Speaker 1: and I know other people will want to listen to you. 634 00:33:23,600 --> 00:33:26,960 Speaker 1: It's the Tony Kinnit Cast. It's weekdays at seven pm. 635 00:33:27,000 --> 00:33:28,160 Speaker 1: Tell us where we can find it. 636 00:33:28,760 --> 00:33:31,240 Speaker 2: You can find that over on YouTube at the Daily 637 00:33:31,320 --> 00:33:34,640 Speaker 2: Signal you can find that on X and then podcasting 638 00:33:34,680 --> 00:33:38,560 Speaker 2: services are radio and TV Syndication Network. And if you 639 00:33:38,600 --> 00:33:40,400 Speaker 2: find it somewhere else, I won't hold it against you. 640 00:33:41,600 --> 00:33:43,680 Speaker 1: That sounds good, well, Tony, thank you so much for 641 00:33:43,760 --> 00:33:44,200 Speaker 1: joining me. 642 00:33:44,280 --> 00:33:46,200 Speaker 2: Today, Tutor Absolute Blast. 643 00:33:46,200 --> 00:33:48,840 Speaker 1: Thank you, and thank you all for joining us on 644 00:33:48,880 --> 00:33:51,480 Speaker 1: the Tutor Dixon Podcast. For this episode and others. Go 645 00:33:51,520 --> 00:33:55,360 Speaker 1: to Tutor dixonpodcast dot com, the iHeartRadio app, Apple Podcasts, 646 00:33:55,440 --> 00:33:58,040 Speaker 1: or wherever you get your podcasts and join us next time. 647 00:33:58,200 --> 00:34:02,600 Speaker 1: Have a blessed day.