1 00:00:03,720 --> 00:00:09,239 Speaker 1: It's that time time time, time, Luck and load. 2 00:00:11,119 --> 00:00:21,000 Speaker 2: The Michael Verie Show is on the air. Hello, babe, we. 3 00:00:21,040 --> 00:00:23,600 Speaker 3: Got a full tank of gas, half a pack of cigarettes. 4 00:00:23,800 --> 00:00:26,200 Speaker 2: It's dark and we're wearing sunglasses. 5 00:00:26,520 --> 00:00:32,280 Speaker 3: Hit it, well, that's where we go, riding into turn 6 00:00:32,280 --> 00:00:32,839 Speaker 3: a Wolfing. 7 00:00:33,120 --> 00:00:38,800 Speaker 2: If you remember the comic strip Dilbert, it was a 8 00:00:38,880 --> 00:00:40,960 Speaker 2: you know, it's interesting. I'm trying to think of a 9 00:00:41,000 --> 00:00:46,760 Speaker 2: comic strip in the modern era that is socially relevant. 10 00:00:47,520 --> 00:00:50,000 Speaker 2: You get, you know, South Park and Family Got. I'm 11 00:00:50,000 --> 00:00:52,879 Speaker 2: trying to remember one, trying to remember the last one 12 00:00:52,920 --> 00:00:57,720 Speaker 2: since Peanuts or Archie that I remember that, I you know, Snoopy, 13 00:00:57,800 --> 00:01:00,240 Speaker 2: of course, but I'm trying to think of one in 14 00:01:00,280 --> 00:01:05,200 Speaker 2: the modern era. Dilbert was when was that eighties nineties? 15 00:01:06,000 --> 00:01:09,840 Speaker 2: It was a big deal. People quoted it, people forwarded, Well, 16 00:01:09,880 --> 00:01:12,120 Speaker 2: you didn't forward it back then. You'd print it out 17 00:01:12,160 --> 00:01:14,280 Speaker 2: and hand it to somebody or put it on the 18 00:01:14,280 --> 00:01:18,119 Speaker 2: wall because it was it was witticisms for people chained 19 00:01:18,120 --> 00:01:22,480 Speaker 2: to a desk, the kind of humor you would enjoy. Well, 20 00:01:22,560 --> 00:01:24,800 Speaker 2: you probably know a boy now, but earlier this week, 21 00:01:24,840 --> 00:01:29,200 Speaker 2: I think was Monday or Tuesday, we lost Scott Adams 22 00:01:29,600 --> 00:01:33,479 Speaker 2: at sixty eight years old. And one of the things 23 00:01:33,480 --> 00:01:35,720 Speaker 2: that several people commented on I think he's worth noting 24 00:01:36,560 --> 00:01:40,760 Speaker 2: is that Scott Adams had fame and fortune. He was 25 00:01:41,360 --> 00:01:43,880 Speaker 2: I read that his speaking fee was between fifteen one 26 00:01:43,920 --> 00:01:47,480 Speaker 2: hundred thousand dollars for corporate gigs. It's a good gig 27 00:01:47,520 --> 00:01:51,960 Speaker 2: if you can get it. Companies liked to have Dilbert there. 28 00:01:52,440 --> 00:01:56,120 Speaker 2: It was fun or the Delbert creator. And in twenty 29 00:01:56,200 --> 00:02:03,240 Speaker 2: fifteen he risked all of that by speaking out on 30 00:02:03,280 --> 00:02:06,960 Speaker 2: what's going on in this country and offering political opinions. 31 00:02:07,680 --> 00:02:10,080 Speaker 2: And he would go on to say that it cost 32 00:02:10,120 --> 00:02:13,399 Speaker 2: him dearly cost him financially, it cost him personally, cost 33 00:02:13,480 --> 00:02:19,440 Speaker 2: him friendships, it cost him professional standing, reputation awards, and 34 00:02:19,480 --> 00:02:23,120 Speaker 2: it cost him a lot of money because it was 35 00:02:23,160 --> 00:02:25,400 Speaker 2: kind of a shut up and dribble. People didn't want 36 00:02:25,440 --> 00:02:28,040 Speaker 2: to hear it. Liberals didn't want to hear the establishment 37 00:02:28,040 --> 00:02:30,720 Speaker 2: didn't want to hear his opinions just make us laugh. 38 00:02:31,800 --> 00:02:34,720 Speaker 2: But he did it because he'd built up all this 39 00:02:34,840 --> 00:02:36,639 Speaker 2: capital and influence and he wanted to use it to 40 00:02:36,639 --> 00:02:40,519 Speaker 2: save his country. And now that he's gone at sixty eight, 41 00:02:40,720 --> 00:02:46,360 Speaker 2: that's his legacy, not Delbert. He had a nasty battle 42 00:02:46,400 --> 00:02:52,720 Speaker 2: with cancer, as so many people do. Early in the 43 00:02:52,760 --> 00:03:02,520 Speaker 2: COVID scandemic, he publicly disclosed that he was vaccinated, and 44 00:03:02,560 --> 00:03:06,160 Speaker 2: he encouraged vaccination for older people and higher risk individuals, 45 00:03:07,280 --> 00:03:09,480 Speaker 2: and at the time he argued that it was a 46 00:03:09,639 --> 00:03:13,800 Speaker 2: sensible approach to managing risk. I always maintained it was not. 47 00:03:14,480 --> 00:03:15,960 Speaker 2: It killed my brother, by the way, he was only 48 00:03:16,000 --> 00:03:21,000 Speaker 2: fifty four. Well, he would go on to change his opinion. 49 00:03:22,400 --> 00:03:24,119 Speaker 2: First of all, it takes a big man to change 50 00:03:24,120 --> 00:03:28,160 Speaker 2: your opinion. Secondly, it takes an even bigger man to 51 00:03:28,320 --> 00:03:32,000 Speaker 2: admit you were wrong. And I respect the heck out 52 00:03:32,000 --> 00:03:34,120 Speaker 2: of that. Here's what he said later. 53 00:03:34,560 --> 00:03:38,600 Speaker 4: Having said as clearly as possible that the anti vax 54 00:03:38,680 --> 00:03:42,160 Speaker 4: people seemed to be the winners, I want you to 55 00:03:42,160 --> 00:03:45,120 Speaker 4: hear that clearly, the anti vax people appear to be 56 00:03:45,160 --> 00:03:50,600 Speaker 4: the winners. The anti vaxxers clearly are the winners at 57 00:03:50,640 --> 00:03:52,600 Speaker 4: this point, and I think it will probably stay that way, 58 00:03:53,560 --> 00:03:55,760 Speaker 4: and I don't want to put any shade on that. 59 00:03:55,800 --> 00:03:56,440 Speaker 2: Whatsoever. 60 00:03:57,880 --> 00:04:00,640 Speaker 4: They came out the best they have to win position. 61 00:04:01,680 --> 00:04:06,720 Speaker 4: The unvaccinated have a current advantage because they feel better. 62 00:04:07,760 --> 00:04:10,600 Speaker 4: The thing they're not worrying about is what I have 63 00:04:10,640 --> 00:04:13,720 Speaker 4: to worry about, which is I wonder if that vaccination 64 00:04:13,960 --> 00:04:17,400 Speaker 4: five years from now, because really the anti vaxxers, I think, 65 00:04:17,440 --> 00:04:21,239 Speaker 4: were really just distrustful of big companies in big government. 66 00:04:22,120 --> 00:04:26,719 Speaker 4: That's never wrong. Is never wrong to distrust government, is 67 00:04:26,760 --> 00:04:31,279 Speaker 4: never wrong to distrust big companies. Right, So if you 68 00:04:31,360 --> 00:04:34,960 Speaker 4: just took the position, let's just distrust everything the government did, well, 69 00:04:34,960 --> 00:04:41,120 Speaker 4: you want you want? You won completely. I did not 70 00:04:41,279 --> 00:04:45,960 Speaker 4: end up in the right place. Agree, you would all 71 00:04:45,960 --> 00:04:48,359 Speaker 4: agree with that, right. I did not end up in 72 00:04:48,400 --> 00:04:52,359 Speaker 4: the right place. The right place would be natural immunity, 73 00:04:52,600 --> 00:04:58,359 Speaker 4: no vaccination. You should take victory and I should take defeat. 74 00:04:59,080 --> 00:05:02,599 Speaker 4: We can agree on that right, that my position is 75 00:05:02,600 --> 00:05:05,600 Speaker 4: now the weakest and your position has gone from the 76 00:05:05,640 --> 00:05:09,000 Speaker 4: weakest to the strongest, and that we can just say 77 00:05:09,040 --> 00:05:12,640 Speaker 4: that's true. The people who didn't give acts are absolutely 78 00:05:12,640 --> 00:05:13,480 Speaker 4: in the winning position. 79 00:05:16,279 --> 00:05:18,400 Speaker 2: Do you win, you win. 80 00:05:19,400 --> 00:05:20,240 Speaker 4: You are the winners. 81 00:05:21,200 --> 00:05:22,080 Speaker 2: You are the winners. 82 00:05:22,800 --> 00:05:26,040 Speaker 4: Right, let me say that part with no ambiguity. 83 00:05:26,720 --> 00:05:27,040 Speaker 2: You won. 84 00:05:27,880 --> 00:05:28,160 Speaker 5: You won. 85 00:05:31,320 --> 00:05:34,880 Speaker 4: All of my fancy analytics got me to a bad place. 86 00:05:36,200 --> 00:05:40,520 Speaker 4: All of your heuristics. Don't trust these guys. It's obvious, 87 00:05:40,560 --> 00:05:41,640 Speaker 4: totally worked. 88 00:05:42,200 --> 00:05:47,799 Speaker 2: Scott Adams had a very interesting theory on laziness. He said, 89 00:05:48,440 --> 00:05:53,359 Speaker 2: what if laziness is a habit of thinking about effort 90 00:05:54,040 --> 00:06:02,000 Speaker 2: and not results. It's very interesting, you know, as a debater, 91 00:06:02,520 --> 00:06:04,320 Speaker 2: starting life as a lawyer, and as a guy who 92 00:06:04,400 --> 00:06:09,640 Speaker 2: communicates using words and hopefully logic, I have come to 93 00:06:09,640 --> 00:06:15,160 Speaker 2: realize in my life that being able to structure an argument, 94 00:06:16,279 --> 00:06:19,080 Speaker 2: being able to simplify things, you know, to boil it 95 00:06:19,160 --> 00:06:22,640 Speaker 2: down to its basic ingredients, to be able to see 96 00:06:22,640 --> 00:06:30,240 Speaker 2: things with clarity, that's a very powerful thing. And sometimes 97 00:06:30,240 --> 00:06:32,400 Speaker 2: it's just a question of changing your perspective. You know, 98 00:06:32,400 --> 00:06:33,880 Speaker 2: how many times do you try to tell your kids 99 00:06:33,880 --> 00:06:36,800 Speaker 2: to do something and it wasn't until another adult tells 100 00:06:36,839 --> 00:06:38,680 Speaker 2: your kid and your kid repeats back, Oh, I need 101 00:06:38,680 --> 00:06:40,800 Speaker 2: to do this, and I told you that, but that 102 00:06:40,839 --> 00:06:44,800 Speaker 2: person was able to connect with them. This really talk 103 00:06:44,839 --> 00:06:48,920 Speaker 2: about good motivation. This is good. What if? What if. 104 00:06:50,240 --> 00:06:54,440 Speaker 4: Laziness is a habit of thinking about the cost of 105 00:06:54,520 --> 00:06:58,120 Speaker 4: things or the effort instead of thinking about the payoffs. 106 00:07:01,120 --> 00:07:03,480 Speaker 4: I'm gonna say it again to get a few more 107 00:07:03,520 --> 00:07:04,400 Speaker 4: heads to explode. 108 00:07:05,000 --> 00:07:05,679 Speaker 6: What if. 109 00:07:07,040 --> 00:07:11,920 Speaker 4: Laziness is nothing but a habit of thinking about the 110 00:07:12,040 --> 00:07:16,320 Speaker 4: effort instead of thinking about the outcome? What if you 111 00:07:16,360 --> 00:07:21,400 Speaker 4: could reverse laziness by simply developing a habit of thinking 112 00:07:21,400 --> 00:07:24,920 Speaker 4: more about the let's say, the delicious food that you 113 00:07:24,960 --> 00:07:27,160 Speaker 4: would like to enjoy instead of how long it would 114 00:07:27,200 --> 00:07:30,800 Speaker 4: take you to get up and go get it. But 115 00:07:30,920 --> 00:07:32,960 Speaker 4: the real question is if you were to test this 116 00:07:33,040 --> 00:07:35,840 Speaker 4: at home and try to see if you can think 117 00:07:35,920 --> 00:07:38,440 Speaker 4: more about the good outcome and less about the work, 118 00:07:39,360 --> 00:07:41,760 Speaker 4: would you get it done? Why isn't the people have 119 00:07:41,760 --> 00:07:43,080 Speaker 4: a second child? 120 00:07:43,480 --> 00:07:43,680 Speaker 7: You know? 121 00:07:43,680 --> 00:07:46,920 Speaker 4: Why does a woman who goes through this awful, awful 122 00:07:47,080 --> 00:07:52,440 Speaker 4: childbirth have a second child? Don't they always say the 123 00:07:52,440 --> 00:07:55,040 Speaker 4: same thing, If I remembered how bad this was, I 124 00:07:55,040 --> 00:08:00,560 Speaker 4: wouldn't do it again? Right, So the not thinking about 125 00:08:00,560 --> 00:08:04,440 Speaker 4: the effort is vital to actually the survival of humanity. 126 00:08:04,960 --> 00:08:06,680 Speaker 4: If we focused on how hard it was to have 127 00:08:06,720 --> 00:08:07,400 Speaker 4: a baby, you just. 128 00:08:07,320 --> 00:08:08,040 Speaker 5: Wouldn't do it. 129 00:08:08,280 --> 00:08:11,040 Speaker 4: You do, you do too little of it. But if 130 00:08:11,080 --> 00:08:12,720 Speaker 4: you focus on how awsome it would be to have 131 00:08:12,760 --> 00:08:16,160 Speaker 4: a family, well, there you go. We're going to go 132 00:08:16,160 --> 00:08:18,760 Speaker 4: through the pain because you've already you've already committed. 133 00:08:19,640 --> 00:08:22,440 Speaker 2: They remain scared to death of you, and they remain 134 00:08:22,560 --> 00:08:24,960 Speaker 2: scared to death of Trump. To Michael Barry Show, you're 135 00:08:25,000 --> 00:08:27,840 Speaker 2: not going anywhere, even if Trump does. 136 00:08:28,040 --> 00:08:28,480 Speaker 8: You're not. 137 00:08:30,880 --> 00:08:35,000 Speaker 2: And thank you gun for that. My dear friend Chance 138 00:08:35,080 --> 00:08:39,400 Speaker 2: McClain has written two off Broadway musicals, a full length film, 139 00:08:40,040 --> 00:08:46,040 Speaker 2: and as many songs as Woody Guthrie. He writes songs 140 00:08:46,160 --> 00:08:49,040 Speaker 2: about everything that is in the news and now that 141 00:08:49,120 --> 00:08:51,760 Speaker 2: his daughter, Texas a and m grad who works with him. 142 00:08:52,000 --> 00:08:57,320 Speaker 2: She's married, but she is trained, classically trained and spent 143 00:08:57,360 --> 00:09:00,400 Speaker 2: a lot of time in musicals. So they make muss 144 00:09:00,440 --> 00:09:03,800 Speaker 2: about all sorts of things that we may not necessarily play. 145 00:09:03,840 --> 00:09:07,160 Speaker 2: They just they just make them for the catharsis of it. 146 00:09:07,360 --> 00:09:09,000 Speaker 2: You know, some people work on their car, they make 147 00:09:09,400 --> 00:09:13,040 Speaker 2: they make musical songs about stories in the news. It's crazy. Well, 148 00:09:13,720 --> 00:09:17,600 Speaker 2: another day or another protest. Now it's onto Greenland. Most 149 00:09:17,600 --> 00:09:22,160 Speaker 2: of the so called protesters can't point to Greenland on 150 00:09:22,240 --> 00:09:24,920 Speaker 2: a map, but they're very angry that Trump wants it. 151 00:09:25,040 --> 00:09:27,280 Speaker 2: They don't know why he wants it, but they know 152 00:09:27,360 --> 00:09:31,280 Speaker 2: he wants it. You know, I a I saw a 153 00:09:31,320 --> 00:09:34,160 Speaker 2: meme and it was a woman that looked kind of 154 00:09:34,559 --> 00:09:36,760 Speaker 2: it was a nineteen fifties style. She looked like a 155 00:09:36,800 --> 00:09:41,479 Speaker 2: Betty Crocker and she said, no, you can't have any Greenland. 156 00:09:41,840 --> 00:09:45,920 Speaker 2: You haven't even finished your venezuela. Oh, that's pretty funny. Anyway, 157 00:09:47,280 --> 00:09:53,839 Speaker 2: These protesters, they're very, very upset about Greenland a greenland, 158 00:09:53,960 --> 00:09:56,559 Speaker 2: however you prefer to say it. They don't know why, 159 00:09:57,440 --> 00:10:01,280 Speaker 2: but because Trump wants it there again, and they've been 160 00:10:01,280 --> 00:10:04,839 Speaker 2: told to be against it. So they're against it for 161 00:10:05,360 --> 00:10:10,160 Speaker 2: whatever reason that they're against it. And so they're standing 162 00:10:10,200 --> 00:10:14,560 Speaker 2: in the street with their signs, chanting what they're told 163 00:10:14,600 --> 00:10:18,800 Speaker 2: to be chanting, and having no idea what they're doing. 164 00:10:20,120 --> 00:10:21,680 Speaker 2: Can you imagine. 165 00:10:24,320 --> 00:10:28,480 Speaker 1: Tens of protesters together, it's an age chanting, hands off Greenland. 166 00:10:28,520 --> 00:10:33,200 Speaker 1: Greenland is green for a reason, sheep green land green. 167 00:10:33,720 --> 00:10:36,800 Speaker 1: After reports that Donald Trump once again floated the idea 168 00:10:37,000 --> 00:10:41,679 Speaker 1: of annexing Greenland, which ecciviascy is literally the front line 169 00:10:41,720 --> 00:10:42,760 Speaker 1: of climate change. 170 00:10:42,960 --> 00:10:43,200 Speaker 2: Shit. 171 00:10:43,320 --> 00:10:48,240 Speaker 7: The name man green, the falls, what sex, blue lead, 172 00:10:48,720 --> 00:10:53,800 Speaker 7: red lead. Eventually, we're just lived with land. Who wants land? 173 00:10:53,960 --> 00:10:56,400 Speaker 7: Protesters continued, chance. 174 00:10:56,679 --> 00:11:02,280 Speaker 9: By the thermostat I mouth steals, j I smile down. 175 00:11:02,360 --> 00:11:05,559 Speaker 1: One organizer explained that greenland is the last defensive shield 176 00:11:05,600 --> 00:11:09,360 Speaker 1: against global warming, adding, once you annex it, it's no 177 00:11:09,440 --> 00:11:13,960 Speaker 1: longer greenland, It's just real estate. According to demonstrators. Greenland 178 00:11:13,960 --> 00:11:17,679 Speaker 1: serves as a natural climate warrior. It's cold, it reflects sunlight. 179 00:11:17,720 --> 00:11:20,320 Speaker 1: It's doing its job, said another protest at wearing three 180 00:11:20,360 --> 00:11:23,640 Speaker 1: scarves and moral superiority. The moment Trump slaps a flag 181 00:11:23,679 --> 00:11:27,000 Speaker 1: on it, it turns page. When asked how annexation would 182 00:11:27,040 --> 00:11:31,840 Speaker 1: physically worsen climate change, the protest replied, vibes, mostly vibes. 183 00:11:32,080 --> 00:11:35,080 Speaker 1: The rally concluded with activists forming a human snowflake and 184 00:11:35,080 --> 00:11:39,520 Speaker 1: declaring Greenland a protected emotional support Continent organizer's vow to 185 00:11:39,559 --> 00:11:43,839 Speaker 1: continue protesting until Trump promises to stop weaponizing geography and 186 00:11:44,000 --> 00:11:46,840 Speaker 1: acknowledges that you can't solve climate change. 187 00:11:46,600 --> 00:11:47,560 Speaker 2: By rebranding it. 188 00:11:47,920 --> 00:11:50,400 Speaker 1: We'll wrap it up by telling you one sign that 189 00:11:50,559 --> 00:11:54,760 Speaker 1: read plainly, Keith Greenland green, because if Greenland isn't green, 190 00:11:55,360 --> 00:11:57,200 Speaker 1: we're all just land. 191 00:11:59,200 --> 00:12:06,680 Speaker 2: Imagine your life as a protester. First of all, you've 192 00:12:06,720 --> 00:12:09,559 Speaker 2: made some bad decisions to end up at the point 193 00:12:09,640 --> 00:12:12,920 Speaker 2: where as an adult, you're willing to take a little 194 00:12:12,960 --> 00:12:15,960 Speaker 2: cash to go stand around and spit in the face 195 00:12:16,000 --> 00:12:20,040 Speaker 2: of cobs, stand outside on your feet all day and 196 00:12:20,160 --> 00:12:23,280 Speaker 2: chant things that you don't even believe. You gotta figure 197 00:12:24,040 --> 00:12:28,480 Speaker 2: you've made some bad decisions. If you're available and willing 198 00:12:29,000 --> 00:12:33,760 Speaker 2: to do that, that's not that's not a good place 199 00:12:33,840 --> 00:12:36,920 Speaker 2: to be here. How about that that is not a 200 00:12:36,960 --> 00:12:40,280 Speaker 2: good place to be in Now you might convince yourself 201 00:12:40,320 --> 00:12:44,520 Speaker 2: because you're around all those people. Ramon wants to know 202 00:12:44,600 --> 00:12:45,440 Speaker 2: what around the world is. 203 00:12:45,400 --> 00:12:50,880 Speaker 3: Whistling bungholes, spleen splitters, whisker biscuits, honkey riders, whoskerdoos, whosker don'ts, 204 00:12:51,280 --> 00:12:54,280 Speaker 3: nips and dazers with without the scooter stick or one 205 00:12:54,400 --> 00:12:55,839 Speaker 3: single whistling kiddy chaser. 206 00:12:58,920 --> 00:13:02,280 Speaker 2: Now that fox is Bill Illusion is a congressional correspondent, 207 00:13:02,320 --> 00:13:07,079 Speaker 2: And let me stop there. That guy has turned out 208 00:13:07,120 --> 00:13:10,960 Speaker 2: to be one heck of a reporter, commentator, anchor whatever 209 00:13:11,000 --> 00:13:15,599 Speaker 2: you want to call him. Investigator. He was working for 210 00:13:15,760 --> 00:13:18,079 Speaker 2: a station I don't know of his San Diego, I 211 00:13:18,120 --> 00:13:21,520 Speaker 2: don't know which location. I think it was in California 212 00:13:21,960 --> 00:13:25,079 Speaker 2: on the border. There are a lot of reporters assigned 213 00:13:25,120 --> 00:13:30,280 Speaker 2: to the border. And that guy just without screaming and hollering. 214 00:13:30,559 --> 00:13:33,719 Speaker 2: He didn't act foolish. He didn't. He didn't. There was 215 00:13:33,800 --> 00:13:36,120 Speaker 2: never a stretch that you could tell he's trying to 216 00:13:36,520 --> 00:13:41,840 Speaker 2: be famous. He just methodically plodded and kept getting story 217 00:13:41,960 --> 00:13:44,360 Speaker 2: after story after story, and good footage to go along 218 00:13:44,400 --> 00:13:48,440 Speaker 2: with it. He did as much to tell the story 219 00:13:48,480 --> 00:13:50,840 Speaker 2: of what was going on at our border as any 220 00:13:51,120 --> 00:13:56,599 Speaker 2: one person. And that's saying a lot. So now that 221 00:13:56,679 --> 00:14:00,120 Speaker 2: he's a congressional correspondent, I think they're grooming him to 222 00:14:00,120 --> 00:14:03,080 Speaker 2: put him in the big chair. This is this guy's good, 223 00:14:03,160 --> 00:14:05,760 Speaker 2: Bill Malusian. He's a comer. This guy's this guy's on, 224 00:14:06,400 --> 00:14:10,000 Speaker 2: this guy's on the way up. He confront He confronts 225 00:14:10,080 --> 00:14:15,480 Speaker 2: Oregon Democrat Congressman Maxine Dexter, who called the two illegal 226 00:14:15,520 --> 00:14:19,800 Speaker 2: aliens who were trende Aragua the Venezuelan Violet gang who 227 00:14:19,920 --> 00:14:22,400 Speaker 2: tried to run over the border patrol agents and in Portland, 228 00:14:23,200 --> 00:14:29,520 Speaker 2: she called them neighbors. They're just her neighbors. She was 229 00:14:29,600 --> 00:14:32,080 Speaker 2: running from him, and she stumbled, listen to this. 230 00:14:32,640 --> 00:14:34,200 Speaker 10: Why didn't you wait for any facts to come out 231 00:14:34,240 --> 00:14:36,080 Speaker 10: on the Portland Border Patrol shooting before you put. 232 00:14:35,960 --> 00:14:38,480 Speaker 5: Your statement out. I did not make a statement about 233 00:14:38,840 --> 00:14:40,080 Speaker 5: the you did it. 234 00:14:40,400 --> 00:14:41,960 Speaker 2: It's on Twitter. No, I made a statement. 235 00:14:42,000 --> 00:14:43,960 Speaker 5: I did not say anything about whether or not those 236 00:14:44,040 --> 00:14:46,000 Speaker 5: folks were rightfully having. 237 00:14:45,840 --> 00:14:47,560 Speaker 10: You said, Ice is terrorizing the community. 238 00:14:47,600 --> 00:14:48,920 Speaker 2: It wasn't ice, that was border patrol, and. 239 00:14:48,920 --> 00:14:50,560 Speaker 5: You said you wanted and for you is did they 240 00:14:50,640 --> 00:14:53,280 Speaker 5: follow you process and answers? Now, those folks were shot 241 00:14:53,360 --> 00:14:54,680 Speaker 5: before they had Those folks. 242 00:14:54,480 --> 00:14:57,280 Speaker 10: Were two Venezuelan gang members who both local police and 243 00:14:57,440 --> 00:14:57,840 Speaker 10: the agent. 244 00:14:57,960 --> 00:14:59,560 Speaker 2: Local police in Portland say they were I. 245 00:14:59,600 --> 00:15:01,760 Speaker 5: Met with the police chief and it is not that clear. 246 00:15:01,960 --> 00:15:04,560 Speaker 5: So alleged is not due process. 247 00:15:04,720 --> 00:15:07,520 Speaker 10: So do you consider those alleged trendy iragical gang members 248 00:15:07,560 --> 00:15:08,400 Speaker 10: to be your neighbors? 249 00:15:08,480 --> 00:15:10,560 Speaker 2: You said, we got to show up for our neighbors. 250 00:15:10,960 --> 00:15:12,840 Speaker 5: We have to show up for our community, and our 251 00:15:12,880 --> 00:15:15,720 Speaker 5: community is feeling terrorized right now. They are outraged that 252 00:15:15,840 --> 00:15:20,720 Speaker 5: people are being shot without having any detained, detainment or 253 00:15:20,920 --> 00:15:22,320 Speaker 5: due process in the court of law. 254 00:15:22,400 --> 00:15:24,120 Speaker 10: Did you see the photos DJ put out of the 255 00:15:24,200 --> 00:15:25,920 Speaker 10: ram border patrol vehicle almost total. 256 00:15:26,600 --> 00:15:28,960 Speaker 5: I have seen photo, sir, and I have nothing to 257 00:15:29,080 --> 00:15:32,320 Speaker 5: say about these two people and whether or not they 258 00:15:32,520 --> 00:15:36,480 Speaker 5: have criminal history or other things to be detained, that 259 00:15:36,600 --> 00:15:38,520 Speaker 5: is not the issue. The issue is that we are 260 00:15:38,560 --> 00:15:42,160 Speaker 5: not following due process. Our law enforcement should be accountable 261 00:15:42,200 --> 00:15:42,560 Speaker 5: to the law. 262 00:15:42,720 --> 00:15:43,680 Speaker 2: Last question, we'll let you go. 263 00:15:43,760 --> 00:15:45,840 Speaker 10: You called for an end to all immigration operations in 264 00:15:45,920 --> 00:15:48,040 Speaker 10: Portland all as operations. Do you still stand by that 265 00:15:48,160 --> 00:15:50,800 Speaker 10: given the fact that these do appear to be criminal 266 00:15:51,160 --> 00:15:52,440 Speaker 10: illegal alien GAG members. 267 00:15:53,760 --> 00:15:59,320 Speaker 5: Again, Sir alleged is not being prosecuted in the court 268 00:15:59,360 --> 00:16:01,600 Speaker 5: of law and having a jury find that that's true. 269 00:16:02,040 --> 00:16:05,400 Speaker 5: If they had immigration violations, that will be dealt with 270 00:16:05,520 --> 00:16:09,000 Speaker 5: by an immigration judge. I stand by Ice needing to 271 00:16:09,080 --> 00:16:11,640 Speaker 5: be accountable to the law, and enforcement needs to be 272 00:16:12,240 --> 00:16:15,480 Speaker 5: ceased until we can guarantee that there is accountability to 273 00:16:15,560 --> 00:16:16,360 Speaker 5: the law. Thank you. 274 00:16:16,960 --> 00:16:22,800 Speaker 2: News Nation reports Survivors and families of victims from Maine's 275 00:16:23,200 --> 00:16:27,760 Speaker 2: deadliest mass shooting say they were promised that one hundred 276 00:16:27,760 --> 00:16:31,040 Speaker 2: percent of donations would go to them, but they discovered 277 00:16:31,080 --> 00:16:35,880 Speaker 2: a year later that nearly two million dollars was instead 278 00:16:35,960 --> 00:16:44,320 Speaker 2: distributed to nonprofits. And you'll never guess what nine groups 279 00:16:44,520 --> 00:16:52,240 Speaker 2: were part of Somali's Nine Somali groups have been accused 280 00:16:52,600 --> 00:16:56,960 Speaker 2: of misusing the funds. You know, I've noticed one of 281 00:16:57,000 --> 00:16:58,960 Speaker 2: the things this is this is an immigrant thing. It's 282 00:16:59,000 --> 00:17:02,560 Speaker 2: not just immigrants, but I've noticed these immigrant groups come 283 00:17:02,600 --> 00:17:05,600 Speaker 2: to this country and they figure out that one of 284 00:17:05,680 --> 00:17:12,200 Speaker 2: the scams is taking up patriotic positions. There was a 285 00:17:12,560 --> 00:17:14,679 Speaker 2: there was a terrible flood on July fourth in Texas 286 00:17:15,960 --> 00:17:18,320 Speaker 2: at a camp that little girls go to and they've 287 00:17:18,320 --> 00:17:20,879 Speaker 2: gone to for almost one hundred years, called Camp Mystic, 288 00:17:23,000 --> 00:17:29,399 Speaker 2: and more than two dozen girls and counselors died in 289 00:17:29,520 --> 00:17:33,200 Speaker 2: this flood. It's terrible. It's a horrible thing. And it's 290 00:17:33,200 --> 00:17:36,680 Speaker 2: all these little girls, and they're sweet and adorable, and 291 00:17:36,920 --> 00:17:40,480 Speaker 2: oh man, it is It has racked and rocked this 292 00:17:40,640 --> 00:17:44,000 Speaker 2: state and the community I live in. I know, I'm 293 00:17:44,080 --> 00:17:46,880 Speaker 2: mutual friends with a lot of these families, and it's 294 00:17:47,000 --> 00:17:50,720 Speaker 2: just it's been awful. It's just been horrible. And we 295 00:17:50,800 --> 00:17:54,159 Speaker 2: find out this last week that somebody had created a 296 00:17:54,240 --> 00:17:59,159 Speaker 2: fraudulent account to take in donations in the name of 297 00:17:59,280 --> 00:18:03,680 Speaker 2: one of the little girls, girls who drowned. That is 298 00:18:03,800 --> 00:18:09,639 Speaker 2: a level of evil that should be prosecuted so harshly. 299 00:18:11,320 --> 00:18:14,760 Speaker 2: You've got to tell people who first think of that, 300 00:18:15,359 --> 00:18:18,080 Speaker 2: You know, do you realize what they would do to 301 00:18:18,160 --> 00:18:20,720 Speaker 2: you if you get caught. I realize you want to 302 00:18:20,760 --> 00:18:25,080 Speaker 2: get some cash. And because the people who fraudulently come 303 00:18:25,160 --> 00:18:28,480 Speaker 2: by money like this, they never invest it long term. 304 00:18:29,400 --> 00:18:35,880 Speaker 2: It's always spent immediately. Drugs, booze, strippers, gambling, cars, purses, travel, 305 00:18:36,520 --> 00:18:38,440 Speaker 2: and all of it they record and put on Instagram. 306 00:18:38,960 --> 00:18:41,560 Speaker 2: It's pitiful, it's just terrifying. 307 00:18:41,880 --> 00:18:45,560 Speaker 11: It's you can't you can't even describe it. 308 00:18:45,760 --> 00:18:48,640 Speaker 9: Jennifer Zenka had been shot twice and didn't know if 309 00:18:48,680 --> 00:18:49,159 Speaker 9: she'd make it. 310 00:18:49,440 --> 00:18:53,000 Speaker 11: As a nurse, my instinct just grabbed my arm and 311 00:18:53,720 --> 00:18:55,600 Speaker 11: held it as tight as I could to keep myself 312 00:18:55,640 --> 00:18:56,320 Speaker 11: from bleeding out. 313 00:18:56,640 --> 00:18:59,560 Speaker 9: Eighteen were killed that day in Maine's deadliest match shooting, 314 00:19:00,080 --> 00:19:02,840 Speaker 9: victims ranging in age from fourteen to seventy six. 315 00:19:03,160 --> 00:19:05,760 Speaker 12: My nephew was killed in the shooting. He was my 316 00:19:06,000 --> 00:19:08,600 Speaker 12: sister's only son, a middle child. He was the man 317 00:19:08,680 --> 00:19:11,040 Speaker 12: of the family since he was fourteen years old. 318 00:19:11,240 --> 00:19:14,320 Speaker 9: Amy Susman's nephew, Max Hathaway, was a married dad of 319 00:19:14,400 --> 00:19:15,360 Speaker 9: two with one on the way. 320 00:19:15,680 --> 00:19:18,399 Speaker 12: On that day, it just received his college diploma in 321 00:19:18,480 --> 00:19:20,840 Speaker 12: the mail, and he went out to Schmenghy's to have 322 00:19:20,920 --> 00:19:23,000 Speaker 12: dinner to celebrate receiving that diploma. 323 00:19:23,359 --> 00:19:25,520 Speaker 9: In the wake of the shooting, a local nonprofit, the 324 00:19:25,600 --> 00:19:30,120 Speaker 9: Main Community Foundation, established the Lewiston, Auburn Area Response Fund. 325 00:19:30,480 --> 00:19:33,639 Speaker 11: We all met in an auditorium in this school and 326 00:19:33,760 --> 00:19:36,200 Speaker 11: they told us that night that one hundred percent of 327 00:19:36,320 --> 00:19:38,920 Speaker 11: the funds would go to the victims. And then I 328 00:19:39,000 --> 00:19:41,000 Speaker 11: got received the email too to say that. 329 00:19:41,640 --> 00:19:43,879 Speaker 9: That email from the main Community Foundation says it is 330 00:19:43,960 --> 00:19:46,680 Speaker 9: quote to help insure survivors and victims know that one 331 00:19:46,760 --> 00:19:49,520 Speaker 9: hundred percent of all donations go to victims survivors of 332 00:19:49,600 --> 00:19:50,400 Speaker 9: this tragic event. 333 00:19:50,880 --> 00:19:53,120 Speaker 12: They kept telling me, if you have anyone who wants 334 00:19:53,160 --> 00:19:55,160 Speaker 12: to give, give to this because it's one hundred percent 335 00:19:55,240 --> 00:19:56,679 Speaker 12: for the survivors and family members. 336 00:19:56,880 --> 00:19:59,440 Speaker 9: But a year later Amy investigated and none covered that 337 00:19:59,480 --> 00:20:02,240 Speaker 9: a big of the money raised one point nine million 338 00:20:02,320 --> 00:20:05,480 Speaker 9: dollars went not to the victims, but to twenty nine 339 00:20:05,560 --> 00:20:06,680 Speaker 9: different nonprofits. 340 00:20:07,320 --> 00:20:12,040 Speaker 12: Nine of the twenty nine are for immigrants only, nonprofits 341 00:20:12,119 --> 00:20:15,520 Speaker 12: that serve the immigrant community in the Lewiston Auburn Lewiston area. 342 00:20:15,560 --> 00:20:20,480 Speaker 9: Groups like Empowered Immigrant Women, Unite Generation nor New Manners 343 00:20:20,560 --> 00:20:24,639 Speaker 9: Public Health Initiative, the Somali Bounds Thu Community Association, and 344 00:20:24,800 --> 00:20:28,280 Speaker 9: Gateway Community Services, which has been accused of misusing taxpayer 345 00:20:28,359 --> 00:20:32,000 Speaker 9: funds and after our reporting was visited by Homeland Security, 346 00:20:32,200 --> 00:20:35,399 Speaker 9: Gateways executive director was on the fund steering committee and 347 00:20:35,520 --> 00:20:38,480 Speaker 9: they received sixty five thousand dollars from the fund. 348 00:20:38,760 --> 00:20:41,879 Speaker 12: It's unconscionable, I don't understand how you could look at 349 00:20:41,920 --> 00:20:44,879 Speaker 12: this group of people and tell them that one hundred 350 00:20:44,880 --> 00:20:46,680 Speaker 12: percent of the money is going to them, while you 351 00:20:46,840 --> 00:20:49,639 Speaker 12: know you're raising money for nonprofits in that same fund. 352 00:20:49,840 --> 00:20:54,320 Speaker 2: A lot of them are local nonprofits. Somali Community in particular, 353 00:20:54,440 --> 00:20:57,440 Speaker 2: got a whole lot of money. And I don't know 354 00:20:57,520 --> 00:20:59,000 Speaker 2: why former Governor PAULA. 355 00:20:59,040 --> 00:21:01,520 Speaker 9: Page is demanding a complete audit and money that went 356 00:21:01,560 --> 00:21:04,720 Speaker 9: to the organizations be paid back. Jennifer, who received only 357 00:21:04,800 --> 00:21:07,679 Speaker 9: thirty two thousand dollars, struggled to pay for her surgeries. 358 00:21:08,040 --> 00:21:09,399 Speaker 2: It didn't really hit me. 359 00:21:10,000 --> 00:21:12,920 Speaker 11: I mean there was and really upset me until I 360 00:21:13,080 --> 00:21:16,640 Speaker 11: was in a position with a ninety three thousand dollars 361 00:21:16,680 --> 00:21:18,560 Speaker 11: hospital bill that I couldn't cover. 362 00:21:18,840 --> 00:21:23,080 Speaker 9: Gateway Community Services they received a lot more. 363 00:21:23,040 --> 00:21:23,760 Speaker 2: Money than you did. 364 00:21:24,280 --> 00:21:27,720 Speaker 11: It does kind of revictimize, you know where it just 365 00:21:27,800 --> 00:21:29,920 Speaker 11: doesn't feel fair, doesn't feel right. 366 00:21:30,240 --> 00:21:31,239 Speaker 2: What do you think happened here? 367 00:21:31,680 --> 00:21:34,280 Speaker 12: They raised money for nonprofits on the backs of eighteen 368 00:21:34,320 --> 00:21:37,920 Speaker 12: people who were murdered, thirteen people who were shot, and 369 00:21:37,960 --> 00:21:42,240 Speaker 12: one hundred and thirty six people who escaped their attempted murders. 370 00:21:44,840 --> 00:21:48,879 Speaker 2: I'm not sure what your question was, Michael Berry. I 371 00:21:49,000 --> 00:21:54,000 Speaker 2: lost the plot somewhere you did. We closed the show 372 00:21:54,160 --> 00:21:57,919 Speaker 2: earlier this week with some of the stories of fraud 373 00:21:58,600 --> 00:22:03,360 Speaker 2: coming out of mogod Isshue. Minnesota is in a state 374 00:22:03,400 --> 00:22:07,199 Speaker 2: of collapse. You've got these somalities who've taken over. They 375 00:22:07,240 --> 00:22:11,359 Speaker 2: are running an absolute fraudulent ring. They're reinvesting part of 376 00:22:11,400 --> 00:22:14,680 Speaker 2: the proceeds of the fraud money in the politicians themselves 377 00:22:15,359 --> 00:22:18,639 Speaker 2: and in ballot harvesting and other fraud, so that the 378 00:22:18,720 --> 00:22:22,119 Speaker 2: politicians are scared to oppose them or they'll lose their office. 379 00:22:23,400 --> 00:22:27,480 Speaker 2: They've got in their back pocket the top folks. Here 380 00:22:27,600 --> 00:22:32,680 Speaker 2: were some of these scandalous things said in interviews by 381 00:22:33,160 --> 00:22:36,639 Speaker 2: Chris Ruffo with Scott Bessett, the Treasury Secretary. Some of 382 00:22:36,680 --> 00:22:38,840 Speaker 2: the things that we learned from David Hotch, who is 383 00:22:39,080 --> 00:22:44,040 Speaker 2: who ran for Minnesota Attorney General against Keith Ellison. And then, 384 00:22:44,119 --> 00:22:46,320 Speaker 2: of course, sorry David Hotch, was was an interview with 385 00:22:46,400 --> 00:22:48,440 Speaker 2: Nick Shirley, the twenty three year old who exposed all this. 386 00:22:49,080 --> 00:22:51,320 Speaker 2: Here is just a montage of some of the things 387 00:22:51,359 --> 00:22:51,680 Speaker 2: we saw. 388 00:22:52,240 --> 00:22:54,399 Speaker 13: You recently mentioned you think there are between three hundred 389 00:22:54,400 --> 00:22:57,800 Speaker 13: and six hundred million dollars in fraud every year of federal. 390 00:22:57,600 --> 00:23:00,000 Speaker 14: Finds that's not my number, that's the General Accounting Office. 391 00:23:00,440 --> 00:23:02,840 Speaker 14: So it's about ten percent of the federal budget, one 392 00:23:02,880 --> 00:23:05,280 Speaker 14: to two percent of GDP and if we can narrow 393 00:23:05,400 --> 00:23:08,359 Speaker 14: that number. President Trump asked for a five hundred billion 394 00:23:08,359 --> 00:23:12,520 Speaker 14: dollar increase in the defense budget to fortify ten twenty 395 00:23:12,640 --> 00:23:16,960 Speaker 14: years of neglect and the forever wars that we've been 396 00:23:17,040 --> 00:23:18,919 Speaker 14: involved in. That he's determined not going to get us 397 00:23:18,960 --> 00:23:23,080 Speaker 14: into that. If we need to flex up our military budget, 398 00:23:23,280 --> 00:23:25,159 Speaker 14: if we can get rid of this waste, roden abuse, 399 00:23:25,440 --> 00:23:30,040 Speaker 14: we can finance a safer, sounder US with that without 400 00:23:30,080 --> 00:23:30,920 Speaker 14: taking on more debt. 401 00:23:31,440 --> 00:23:34,080 Speaker 2: It sounds pretty good outcome to me. That's part of 402 00:23:34,440 --> 00:23:35,359 Speaker 2: following the money. 403 00:23:36,119 --> 00:23:39,640 Speaker 14: There are evidently some disturbing tapes of a g Elson 404 00:23:40,440 --> 00:23:43,879 Speaker 14: in meetings with people who donated to him, them calling 405 00:23:44,080 --> 00:23:46,720 Speaker 14: for political favors to stop the investigations. 406 00:23:46,960 --> 00:23:47,840 Speaker 2: So we'll see. 407 00:23:47,920 --> 00:23:49,879 Speaker 14: But again I don't want to get out ahead of 408 00:23:49,880 --> 00:23:53,040 Speaker 14: the investigations. It is going to be very methodical, and Chris, 409 00:23:53,119 --> 00:23:56,520 Speaker 14: I can guarantee you when these when the bear trap snaps, 410 00:23:56,880 --> 00:23:59,800 Speaker 14: we're going to get these folks. And again we're going 411 00:23:59,840 --> 00:24:02,440 Speaker 14: to all the money, whether it's all whether it's over 412 00:24:02,520 --> 00:24:06,240 Speaker 14: the two counties here in Minneapolis, Saint Paul's or whether 413 00:24:06,280 --> 00:24:10,560 Speaker 14: it's the East africam and there's tons of luxury properties, 414 00:24:10,600 --> 00:24:12,720 Speaker 14: cars that have been bought over there, and how the 415 00:24:12,800 --> 00:24:15,600 Speaker 14: hell did this happen? How did it happen? President Trump 416 00:24:15,680 --> 00:24:18,720 Speaker 14: is outraged, I'm outraged. The American people should be outraged. 417 00:24:19,080 --> 00:24:20,760 Speaker 13: One thing I'd like to talk about with you that 418 00:24:20,880 --> 00:24:24,440 Speaker 13: is related to this whole architecture of intimidation is that 419 00:24:24,520 --> 00:24:26,520 Speaker 13: there are five oh one c three nonprofit groups that 420 00:24:26,560 --> 00:24:30,240 Speaker 13: are funded by left wing dark money that are organizing 421 00:24:30,600 --> 00:24:34,840 Speaker 13: or at least at arms length, encouraging criminal activities, criminal protests, 422 00:24:34,960 --> 00:24:39,840 Speaker 13: criminal obstruction of federal officers, including ICE agents. Is the 423 00:24:39,920 --> 00:24:42,000 Speaker 13: Treasury looking into this? Is this something that you have 424 00:24:42,160 --> 00:24:43,359 Speaker 13: authority to crack down on? 425 00:24:43,560 --> 00:24:46,280 Speaker 2: And what can we expect? Yes, yes, yes, yes, and yes. 426 00:24:46,800 --> 00:24:50,119 Speaker 14: So these groups are engaging in this, we have the 427 00:24:50,160 --> 00:24:53,800 Speaker 14: authority and we are examining them. Because when you see 428 00:24:53,840 --> 00:24:56,840 Speaker 14: these protesters, someone is financing them. There are safe houses 429 00:24:57,200 --> 00:24:59,760 Speaker 14: that when you see the three hundred people with the 430 00:24:59,800 --> 00:25:03,320 Speaker 14: same laser that they're using to blind DHS agents in 431 00:25:03,400 --> 00:25:07,560 Speaker 14: courthouses in Portland, someone bought those lasers. And again, what 432 00:25:07,800 --> 00:25:10,560 Speaker 14: we do is follow the money, just like we followed 433 00:25:10,600 --> 00:25:12,200 Speaker 14: it with the mafia, just like we follow it with 434 00:25:12,240 --> 00:25:15,600 Speaker 14: the drug cartels, and we will find out who's done this. 435 00:25:16,400 --> 00:25:18,159 Speaker 14: I announced today that we are going to put in 436 00:25:18,240 --> 00:25:22,159 Speaker 14: effect a whistleblower program, and my sense is that the 437 00:25:22,240 --> 00:25:25,119 Speaker 14: rats will turn on each other that, as I believe 438 00:25:25,240 --> 00:25:28,439 Speaker 14: you reported, someone talked about in the roundtable today, one 439 00:25:28,480 --> 00:25:31,800 Speaker 14: of the Somali fraudsters tried to bribe a jur with 440 00:25:31,880 --> 00:25:34,200 Speaker 14: one hundred and twenty thousand dollars. What turned out she'd 441 00:25:34,200 --> 00:25:36,920 Speaker 14: been given two hundred thousand to bribe the juror, and 442 00:25:37,040 --> 00:25:40,639 Speaker 14: she skimmed eight thousand. Like it's like the scorpion. It's 443 00:25:40,680 --> 00:25:41,240 Speaker 14: in their nature. 444 00:25:41,600 --> 00:25:44,560 Speaker 8: It's way beyond anybody's imagination to total the amount. The 445 00:25:44,600 --> 00:25:46,200 Speaker 8: state doesn't even know, the fens don't even know. 446 00:25:46,560 --> 00:25:48,400 Speaker 15: And so for instance, why would that judge bow down 447 00:25:48,520 --> 00:25:50,040 Speaker 15: to the head of the small and mafia here. 448 00:25:50,760 --> 00:25:52,960 Speaker 2: What I can tell you is that it's a voting block. 449 00:25:53,960 --> 00:25:56,760 Speaker 8: And what they say is if you do something to 450 00:25:56,880 --> 00:25:59,480 Speaker 8: go against our community, we're going to vote for and 451 00:25:59,600 --> 00:26:02,200 Speaker 8: they all vote together and there's ballot harvesting. I've seen 452 00:26:02,240 --> 00:26:04,479 Speaker 8: them do it that we're going to vote for your 453 00:26:04,520 --> 00:26:06,840 Speaker 8: opponent unless you do what we tell you to do and. 454 00:26:06,880 --> 00:26:08,119 Speaker 2: Says all purely for votes. 455 00:26:08,520 --> 00:26:08,720 Speaker 14: Yes. 456 00:26:09,040 --> 00:26:12,040 Speaker 15: And so this building right here, Cedar Riverside, major massive 457 00:26:12,040 --> 00:26:14,080 Speaker 15: apartment complex. How many simalions you think live in there? 458 00:26:14,119 --> 00:26:16,760 Speaker 15: For instance, Well, this is just one complex. You've got 459 00:26:17,680 --> 00:26:20,000 Speaker 15: twenty more just like this around the Twin Cities. And 460 00:26:20,040 --> 00:26:24,359 Speaker 15: they're all Somali. You're talking probably one hundred thousand or 461 00:26:24,440 --> 00:26:26,600 Speaker 15: more people. And they're all living rent free. 462 00:26:26,920 --> 00:26:29,280 Speaker 2: They're driving a vehicle that you paid for, they're eating 463 00:26:29,280 --> 00:26:30,200 Speaker 2: food that you paid for. 464 00:26:31,160 --> 00:26:33,760 Speaker 8: Everything they do is something that you paid for. 465 00:26:34,720 --> 00:26:37,520 Speaker 15: And for instance, that entire block, we'll then go and 466 00:26:37,600 --> 00:26:39,159 Speaker 15: vote for one specific candidate. 467 00:26:39,320 --> 00:26:41,760 Speaker 8: They'll have one person go there and collect all the 468 00:26:41,840 --> 00:26:45,280 Speaker 8: ballots and nobody tracks. They could say they have nine 469 00:26:45,280 --> 00:26:47,520 Speaker 8: people living in an apartment. They're going to send them 470 00:26:47,600 --> 00:26:50,240 Speaker 8: nine ballots, and then they have someone who comes along 471 00:26:50,400 --> 00:26:51,320 Speaker 8: collects all the ballots. 472 00:26:51,480 --> 00:26:53,680 Speaker 15: That is the need, for example, for one thousand and 473 00:26:53,720 --> 00:26:56,840 Speaker 15: two hundred transportation companies inside of Minnesota. What's the need 474 00:26:56,880 --> 00:26:58,639 Speaker 15: for that many transportation. 475 00:26:58,600 --> 00:27:01,040 Speaker 8: Well, there isn't there is, And you're talking about getting 476 00:27:01,040 --> 00:27:03,240 Speaker 8: a round. You already have services that are provided. You 477 00:27:03,359 --> 00:27:07,239 Speaker 8: have metromobility that offers free rides to seniors and low 478 00:27:07,280 --> 00:27:10,880 Speaker 8: income people, and so to have that many non emergency 479 00:27:10,880 --> 00:27:14,120 Speaker 8: medical transplation companies, it's not possible that they can transport 480 00:27:14,160 --> 00:27:16,320 Speaker 8: that many people. I have been to many of these 481 00:27:16,359 --> 00:27:19,560 Speaker 8: transportation companies, and I've been time stamping my photographs for 482 00:27:19,680 --> 00:27:23,240 Speaker 8: a whole year. Had one facility in Minneapolis, and those 483 00:27:23,400 --> 00:27:26,000 Speaker 8: vans in that parking lot have not moved one inch 484 00:27:26,640 --> 00:27:27,840 Speaker 8: in an entire year. 485 00:27:27,880 --> 00:27:29,000 Speaker 2: They're all still sitting there. 486 00:27:29,400 --> 00:27:31,440 Speaker 15: And so when you think about it, you have with 487 00:27:31,520 --> 00:27:34,119 Speaker 15: the transortation companies, you have the adult care centers. So 488 00:27:34,200 --> 00:27:36,360 Speaker 15: are they working hand and head together to then say 489 00:27:36,520 --> 00:27:39,479 Speaker 15: we're getting the services from then the adult daycare centers 490 00:27:39,680 --> 00:27:42,520 Speaker 15: to then transport them to their apployments. 491 00:27:42,920 --> 00:27:46,560 Speaker 2: And we close the show with Timmy Wallas, the governor 492 00:27:46,880 --> 00:27:51,040 Speaker 2: of Minnesota who will not be running for reelection because 493 00:27:51,680 --> 00:27:54,879 Speaker 2: he's been outed. He is in it up to his 494 00:27:55,080 --> 00:27:59,080 Speaker 2: ears with corruption and fraud, and according to him, he's 495 00:27:59,119 --> 00:28:02,240 Speaker 2: done absolutely no thing wrong. He just loves his great 496 00:28:02,280 --> 00:28:07,280 Speaker 2: state of Minnesota. But in his latest podcast, he seems 497 00:28:07,320 --> 00:28:09,920 Speaker 2: a little shaken. We might need to say a little 498 00:28:10,000 --> 00:28:15,600 Speaker 2: prayer for tampon. Timmy Watz, Good morning America. That's a 499 00:28:15,600 --> 00:28:18,920 Speaker 2: shout out to my boy George Stupendopolis. There's just something 500 00:28:18,960 --> 00:28:22,080 Speaker 2: about him that I like. So it's really been a 501 00:28:22,200 --> 00:28:23,680 Speaker 2: sad couple of months. 502 00:28:23,760 --> 00:28:23,920 Speaker 5: Now. 503 00:28:24,400 --> 00:28:28,320 Speaker 6: The man is trying to silence me, my microphone, my voice, 504 00:28:28,880 --> 00:28:32,920 Speaker 6: my soul, all because I had a little some molly jolly. 505 00:28:33,200 --> 00:28:36,160 Speaker 6: They just can't stand him now. Trumpet as bully boys 506 00:28:36,200 --> 00:28:38,440 Speaker 6: brought the ice gang to town. Ticket on a poor 507 00:28:38,520 --> 00:28:42,280 Speaker 6: little lady, probably just driving her little Subaru, getting some coffee, 508 00:28:42,480 --> 00:28:45,160 Speaker 6: looking to renew her Minnesota Lynks tickets, and then boom 509 00:28:45,200 --> 00:28:48,800 Speaker 6: bang pile. Well, in these times of trial and tribulations, 510 00:28:49,040 --> 00:28:51,680 Speaker 6: makes me feel good to just do a little song 511 00:28:51,840 --> 00:28:57,760 Speaker 6: and dance today. This one's for you, my loveliest sake 512 00:28:58,000 --> 00:29:02,400 Speaker 6: that trump Just last day, when I make up before 513 00:29:02,480 --> 00:29:05,360 Speaker 6: my wife foots on her make up, I say a 514 00:29:05,480 --> 00:29:09,200 Speaker 6: little prey for you to all my Minnesota's. 515 00:29:09,320 --> 00:29:09,800 Speaker 5: I won't lie. 516 00:29:09,960 --> 00:29:10,920 Speaker 6: It might be facing a. 517 00:29:10,920 --> 00:29:13,120 Speaker 2: Little port real drama in the coming months, so I 518 00:29:13,240 --> 00:29:13,640 Speaker 2: asked you. 519 00:29:13,760 --> 00:29:16,440 Speaker 6: Return the gesture, say a little prefer me. 520 00:29:18,160 --> 00:29:18,280 Speaker 5: Now. 521 00:29:18,320 --> 00:29:21,000 Speaker 6: I want you all to know this, I'm not scared 522 00:29:21,040 --> 00:29:25,000 Speaker 6: of prison. Hell, those prison boys will love me to death. 523 00:29:25,480 --> 00:29:26,160 Speaker 5: I'm the old ball 524 00:29:26,240 --> 00:29:29,080 Speaker 6: Coach, of course, So no matter what happens, no matter 525 00:29:29,200 --> 00:29:31,320 Speaker 6: how big the bully Trump will be to me, know 526 00:29:32,440 --> 00:29:35,840 Speaker 6: that I love you so Minnesota,