1 00:00:04,240 --> 00:00:09,640 Speaker 1: It's that time, time, time, time, Luck and load. 2 00:00:11,760 --> 00:00:13,600 Speaker 2: Michael Very Show is. 3 00:00:13,480 --> 00:00:14,120 Speaker 1: On the air. 4 00:00:16,520 --> 00:00:20,599 Speaker 3: They fashioned themselves on social media as this legion of superheroes, 5 00:00:20,600 --> 00:00:23,239 Speaker 3: this incoming administration, Slcy Gabbard, Robert F. 6 00:00:23,239 --> 00:00:24,479 Speaker 2: Commedy Junior, et cetera, et. 7 00:00:24,400 --> 00:00:30,840 Speaker 4: Cetera, Baster than a speeding bullet, more powerful than a locomotive, 8 00:00:33,040 --> 00:00:36,839 Speaker 4: able to leap tall buildings at a single bound up 9 00:00:36,920 --> 00:00:37,320 Speaker 4: in the sky. 10 00:00:37,520 --> 00:00:39,520 Speaker 5: It's a verger. 11 00:00:40,360 --> 00:00:41,440 Speaker 2: Yes, it's super strum. 12 00:00:41,640 --> 00:00:47,200 Speaker 6: We will very quickly make America great again. 13 00:00:50,479 --> 00:00:52,040 Speaker 5: Do we really need whatever it is? Four hundred and 14 00:00:52,080 --> 00:00:53,239 Speaker 5: twenty eight federal agencies? 15 00:00:53,720 --> 00:00:55,760 Speaker 7: So there's so many that I pep will never heard of, 16 00:00:56,520 --> 00:00:59,320 Speaker 7: and that half overlapping areas of responsibility we should I 17 00:00:59,360 --> 00:01:02,400 Speaker 7: don't know fully you should get. I mean there are 18 00:01:02,480 --> 00:01:06,400 Speaker 7: more federal agencies than there are years since the established 19 00:01:06,400 --> 00:01:08,280 Speaker 7: in the United States, which means that we've created more 20 00:01:08,319 --> 00:01:10,240 Speaker 7: than one federal agency per year on average. 21 00:01:10,680 --> 00:01:11,360 Speaker 2: That seems a lot. 22 00:01:11,920 --> 00:01:12,399 Speaker 5: That's a lot. 23 00:01:12,680 --> 00:01:17,160 Speaker 7: That's a lot. So we shad that seems crazy. I 24 00:01:17,200 --> 00:01:20,360 Speaker 7: think we failed to get away with nineteen nine agencies. 25 00:01:27,319 --> 00:01:31,080 Speaker 8: I am a patriot, I love our country. I am 26 00:01:31,200 --> 00:01:34,760 Speaker 8: a strong and intelligent woman of color, and I have 27 00:01:34,959 --> 00:01:40,080 Speaker 8: dedicated almost my entire adult life to protecting the safety, security, 28 00:01:40,080 --> 00:01:42,600 Speaker 8: and the freedom of all Americans in the city. 29 00:01:45,560 --> 00:01:47,640 Speaker 6: I'm not any vaccine, but I think we need to 30 00:01:47,680 --> 00:01:49,560 Speaker 6: be honest and we need to have good science. 31 00:01:49,720 --> 00:01:52,040 Speaker 9: I spent thirty years trying to get mercury out of 32 00:01:52,080 --> 00:01:54,120 Speaker 9: the fish in this country, and nobody ever called me 33 00:01:54,240 --> 00:01:54,840 Speaker 9: any fish. 34 00:02:10,120 --> 00:02:17,080 Speaker 2: Today marks one month mark for the Trump presidency. One month. 35 00:02:18,600 --> 00:02:19,120 Speaker 2: Think about this. 36 00:02:20,639 --> 00:02:24,560 Speaker 9: You start a job first month, They're not even giving 37 00:02:24,600 --> 00:02:29,799 Speaker 9: you anything to do, you know, I frequently say and 38 00:02:30,080 --> 00:02:32,359 Speaker 9: Ramon will confirm, because this is our culture on the 39 00:02:32,520 --> 00:02:35,480 Speaker 9: entire team. Now, we are a tough place to work 40 00:02:35,960 --> 00:02:40,040 Speaker 9: because we act like everything has to be done today, 41 00:02:40,520 --> 00:02:43,400 Speaker 9: nothing can be put off till tomorrow. We put in 42 00:02:43,919 --> 00:02:46,799 Speaker 9: long days, two shows. We do a lot, and we 43 00:02:46,919 --> 00:02:48,679 Speaker 9: take pride in that, and that's what we want to do. 44 00:02:48,840 --> 00:02:50,880 Speaker 9: Every day is the super Bowl. Every day is intense. 45 00:02:51,000 --> 00:02:52,960 Speaker 9: That's how we love it. But it makes it very 46 00:02:53,040 --> 00:02:55,600 Speaker 9: hard for new people to come into our show and 47 00:02:55,720 --> 00:02:58,959 Speaker 9: work with us because it's it's not like most places 48 00:03:00,000 --> 00:03:02,400 Speaker 9: don't do a little work, sit on a conference call 49 00:03:02,480 --> 00:03:06,200 Speaker 9: and go home, like a lot of jobs do. One 50 00:03:06,320 --> 00:03:11,120 Speaker 9: month in office, Trump is I mean he's he's like 51 00:03:11,200 --> 00:03:15,920 Speaker 9: a man possessed. One month in office, seventy three executive orders, 52 00:03:17,280 --> 00:03:22,640 Speaker 9: Border encounters are down ninety three percent. ICE arrests are 53 00:03:22,760 --> 00:03:24,799 Speaker 9: eighty seven hundred and sixty eight. And by the way, 54 00:03:24,880 --> 00:03:28,040 Speaker 9: he is very unhappy about this. Apparently it is a 55 00:03:28,200 --> 00:03:31,000 Speaker 9: sore subject in the White House. He wants the ICE 56 00:03:31,160 --> 00:03:33,919 Speaker 9: arrests and the deportations to go way up. He is 57 00:03:34,080 --> 00:03:38,080 Speaker 9: not happy with the pace in which this is happening. 58 00:03:39,360 --> 00:03:46,120 Speaker 9: Formal remarks or news conferences thirty two thirty two, Biden 59 00:03:46,160 --> 00:03:52,760 Speaker 9: would go entire months without speaking. Those savings already are 60 00:03:52,840 --> 00:03:59,080 Speaker 9: projected to be over fifty five billion dollars. Hostages released sixteen. 61 00:04:00,000 --> 00:04:04,320 Speaker 9: This is all one month in. That's it, all one 62 00:04:04,440 --> 00:04:09,920 Speaker 9: month in and all of these things being done one 63 00:04:10,040 --> 00:04:13,560 Speaker 9: month into office. It is truly incredible. You want to 64 00:04:13,600 --> 00:04:18,680 Speaker 9: know how incredible things are Democrats? Lots of Democrats who 65 00:04:18,680 --> 00:04:23,200 Speaker 9: are trying to rehabilitate their image have now taken to 66 00:04:24,680 --> 00:04:29,240 Speaker 9: basically you look at Lindy Lee, who said, you know, hey, 67 00:04:29,320 --> 00:04:31,560 Speaker 9: I was a big Democrat budler a. 68 00:04:31,600 --> 00:04:33,200 Speaker 2: Matter of days ago. So it's not like you had 69 00:04:33,240 --> 00:04:34,360 Speaker 2: some big change overnight. 70 00:04:34,920 --> 00:04:36,720 Speaker 9: And now I think the Democrats are idiots and I 71 00:04:36,760 --> 00:04:39,080 Speaker 9: want to raise money for Trump, but she's spilling the 72 00:04:39,120 --> 00:04:41,040 Speaker 9: beans on everything they did. 73 00:04:41,960 --> 00:04:44,000 Speaker 2: Pierre's Morgan called her out this week. 74 00:04:46,440 --> 00:04:50,039 Speaker 9: With a tweet and she took down the post after 75 00:04:50,160 --> 00:04:52,600 Speaker 9: he said this, but he made the point, he said, 76 00:04:53,040 --> 00:04:55,520 Speaker 9: he said, Lindy, how come you told me on Monday 77 00:04:56,440 --> 00:04:58,480 Speaker 9: that you did not vote for Kamala Harris? 78 00:05:00,040 --> 00:05:02,440 Speaker 2: At night we went through and saw. 79 00:05:03,160 --> 00:05:08,280 Speaker 9: Then on October third, you tweeted that you had voted 80 00:05:08,520 --> 00:05:13,920 Speaker 9: early and that the registrar registrar had confirmed that they 81 00:05:14,000 --> 00:05:16,000 Speaker 9: had counted your vote and you were proud to have 82 00:05:16,120 --> 00:05:17,440 Speaker 9: voted for Kamala. 83 00:05:18,120 --> 00:05:20,080 Speaker 2: So you lied at one point or another. Which one 84 00:05:20,160 --> 00:05:23,720 Speaker 2: is it? And why did you take that tweet down? Uh? 85 00:05:24,120 --> 00:05:27,400 Speaker 9: My point is you know you have vanquished your enemies 86 00:05:27,920 --> 00:05:30,040 Speaker 9: when they start co opting what you say. 87 00:05:30,120 --> 00:05:33,880 Speaker 2: Here's Pete butdygig Booty gig or six. 88 00:05:34,640 --> 00:05:39,080 Speaker 9: He's speaking at the Chicago Institute of Politics and he's 89 00:05:39,160 --> 00:05:46,240 Speaker 9: talking about the wacky left and he compares it to Portlandia. 90 00:05:46,720 --> 00:05:48,680 Speaker 9: This is the kind of stuff he himself did. This 91 00:05:48,839 --> 00:05:53,400 Speaker 9: is the guy who appeared with his boyfriend and they 92 00:05:53,440 --> 00:05:55,840 Speaker 9: had a baby in between them in the hospital bed 93 00:05:56,000 --> 00:05:59,039 Speaker 9: like they had just given birth, good grief, and he's 94 00:05:59,080 --> 00:06:02,080 Speaker 9: talking about Portland. But this is how they see the 95 00:06:02,120 --> 00:06:03,760 Speaker 9: writing on the wall, because by the way, he wants 96 00:06:03,800 --> 00:06:04,960 Speaker 9: to run for governor of Michigan. 97 00:06:06,240 --> 00:06:07,720 Speaker 10: A little bit of that A venue described and it 98 00:06:07,839 --> 00:06:09,640 Speaker 10: was a caricature of everything that is wrong with our 99 00:06:09,640 --> 00:06:11,680 Speaker 10: ability both to cohere as a party and to reach 100 00:06:11,880 --> 00:06:13,159 Speaker 10: to those who don't always agree with us. 101 00:06:13,200 --> 00:06:14,920 Speaker 2: And we cannot go on like that. We cannot. 102 00:06:15,440 --> 00:06:17,440 Speaker 10: I also think that we believe in the values that 103 00:06:17,520 --> 00:06:18,880 Speaker 10: we care about for a reason, and this is not 104 00:06:19,040 --> 00:06:22,960 Speaker 10: about abandoning those values. It's about making sure we're in 105 00:06:23,040 --> 00:06:24,880 Speaker 10: touch with the first principles that animate them. What do 106 00:06:24,960 --> 00:06:27,400 Speaker 10: we mean when we talk about diversity. Is it caring 107 00:06:27,480 --> 00:06:29,840 Speaker 10: for people's different experiences and making sure no one's mistreated 108 00:06:29,880 --> 00:06:32,800 Speaker 10: because of them, which I will always fight for. Or 109 00:06:33,040 --> 00:06:36,039 Speaker 10: is it making people sit through a training that looks 110 00:06:36,080 --> 00:06:38,880 Speaker 10: like something out of Portlandia, which I have also experienced. 111 00:06:39,000 --> 00:06:42,480 Speaker 10: And it is how it is how Trump Republicans are made. 112 00:06:42,560 --> 00:06:44,440 Speaker 10: If that comes to your workplace with the best of 113 00:06:44,480 --> 00:06:47,000 Speaker 10: intentions but doesn't actually get it what we're what, what 114 00:06:47,200 --> 00:06:49,240 Speaker 10: actually matters here, what's actually at stake? I think, and 115 00:06:49,320 --> 00:06:52,400 Speaker 10: this might sound counterintuitive if we were more serious about 116 00:06:52,400 --> 00:06:54,480 Speaker 10: the actual values and not caught up in vocabularies and 117 00:06:54,520 --> 00:06:56,960 Speaker 10: trying to cater to everybody only in terms of their 118 00:06:57,040 --> 00:07:00,640 Speaker 10: particular slice of combinations of identities versus the share. Actually, 119 00:07:00,680 --> 00:07:03,039 Speaker 10: if we thought about it a little bit differently, things 120 00:07:03,120 --> 00:07:05,360 Speaker 10: like diversity would be actually an example of how we 121 00:07:05,440 --> 00:07:07,680 Speaker 10: reach out beyond our traditional coalition. And what I mean 122 00:07:07,720 --> 00:07:12,720 Speaker 10: by that is the opposite of diversity is uniformity. And 123 00:07:12,760 --> 00:07:15,800 Speaker 10: if there's one thing I really respect about principled conservatives, 124 00:07:16,280 --> 00:07:17,640 Speaker 10: even if I don't always agree with them, is that 125 00:07:17,720 --> 00:07:21,400 Speaker 10: they have a horror of anything that has a whiff 126 00:07:21,480 --> 00:07:25,120 Speaker 10: of being pressed into conformity by government or by society. 127 00:07:25,880 --> 00:07:28,840 Speaker 10: So I would like to appeal to people who, whether 128 00:07:28,880 --> 00:07:31,320 Speaker 10: it's because of a conservative or libertarian instinct, or a 129 00:07:31,360 --> 00:07:33,160 Speaker 10: more progressive instinct, or I would say, just an American 130 00:07:33,240 --> 00:07:35,440 Speaker 10: belief that part of the point of living in a 131 00:07:35,480 --> 00:07:37,560 Speaker 10: country like this is you don't have to conform to 132 00:07:37,680 --> 00:07:38,840 Speaker 10: what other people demand of you. 133 00:07:39,400 --> 00:07:41,680 Speaker 2: That we're not only on board with that, we're champions. 134 00:07:41,280 --> 00:07:46,080 Speaker 9: Of the He's trying to sound like Obama in seven eight, 135 00:07:46,200 --> 00:07:48,400 Speaker 9: trying to appeal to Republicans, and here he is talking 136 00:07:48,440 --> 00:07:51,440 Speaker 9: about going into the space of Republican white women in 137 00:07:51,480 --> 00:07:52,120 Speaker 9: the suburbs. 138 00:07:52,480 --> 00:07:54,280 Speaker 2: But what I'm really worried about are the people who 139 00:07:54,320 --> 00:07:59,000 Speaker 2: are not watching CNN or Fox and who are worried 140 00:07:59,040 --> 00:07:59,640 Speaker 2: about that too. 141 00:08:04,040 --> 00:08:07,960 Speaker 10: A lot of folks aren't aren't looking for political comment, 142 00:08:08,600 --> 00:08:10,960 Speaker 10: but it's finding them, and it's finding them. 143 00:08:10,880 --> 00:08:12,920 Speaker 2: Wrapped up in a lot of cultural stuff. 144 00:08:13,120 --> 00:08:15,400 Speaker 10: You could be on parenting Instagram and you're getting this 145 00:08:15,560 --> 00:08:19,200 Speaker 10: trad wife stuff with a little politics inflected into it, 146 00:08:19,280 --> 00:08:20,160 Speaker 10: or rogan and the rest of it. 147 00:08:20,640 --> 00:08:22,760 Speaker 2: And I think we have, we really need. 148 00:08:22,680 --> 00:08:27,280 Speaker 10: To be much smarter about taking this conversation to places 149 00:08:27,320 --> 00:08:27,920 Speaker 10: where it's. 150 00:08:27,800 --> 00:08:32,640 Speaker 9: Not you know, something interesting is just happening right now, 151 00:08:33,600 --> 00:08:37,760 Speaker 9: and that is the return of merit, the return of qualification. 152 00:08:41,000 --> 00:08:45,199 Speaker 9: America had evolved, unfortunately, and too many people had allowed 153 00:08:45,200 --> 00:08:50,720 Speaker 9: it to happen into this morass. It doesn't matter if 154 00:08:50,720 --> 00:08:53,520 Speaker 9: you're good at what you do or not, as long 155 00:08:53,559 --> 00:08:56,839 Speaker 9: as it makes other people feel good that you're a 156 00:08:56,960 --> 00:09:02,760 Speaker 9: woman or black, or retarded or short or incapable or 157 00:09:03,160 --> 00:09:09,199 Speaker 9: whatever that thing was. And so people were being put 158 00:09:09,240 --> 00:09:13,040 Speaker 9: into positions in the military because they were a dude 159 00:09:13,040 --> 00:09:14,960 Speaker 9: who dressed as a girl and made. 160 00:09:14,880 --> 00:09:15,680 Speaker 2: Videos of themselves. 161 00:09:16,920 --> 00:09:21,080 Speaker 9: People were being put in charge of departments and important things. 162 00:09:22,280 --> 00:09:25,400 Speaker 9: We've seen this with the Delta flight where the woman 163 00:09:25,600 --> 00:09:29,839 Speaker 9: who was flying the plane, and I'm not saying this 164 00:09:29,920 --> 00:09:33,880 Speaker 9: makes her a bad person, that's too far a leap, 165 00:09:34,360 --> 00:09:35,760 Speaker 9: but we do need to call it what it is. 166 00:09:37,000 --> 00:09:39,080 Speaker 2: It's clear pilot error occurred. 167 00:09:39,240 --> 00:09:41,720 Speaker 9: I mean most every pilot who's looked at this an 168 00:09:41,760 --> 00:09:47,040 Speaker 9: aviation expert has agreed with that. It wasn't very long 169 00:09:47,120 --> 00:09:51,000 Speaker 9: ago that she was flying a little prop plane. This 170 00:09:51,160 --> 00:09:55,440 Speaker 9: is quite a different piece of equipment. The guy who 171 00:09:55,520 --> 00:09:58,640 Speaker 9: should have been the lead pilot, it would appear, put 172 00:09:58,720 --> 00:10:01,400 Speaker 9: her in charge too soon because they're trying so hard 173 00:10:01,440 --> 00:10:04,720 Speaker 9: to put women in at everything. I mean, look, if 174 00:10:04,760 --> 00:10:07,360 Speaker 9: we're just gonna have unmanned flights, why don't we have 175 00:10:07,520 --> 00:10:12,199 Speaker 9: unmanned football teams? Put a girl in at quarterback for 176 00:10:12,320 --> 00:10:16,120 Speaker 9: the Kansas City Chiefs. We got Patrick Holmes has had enough. 177 00:10:16,880 --> 00:10:19,520 Speaker 9: Put a girl in there and tell the Kansas City 178 00:10:19,600 --> 00:10:24,520 Speaker 9: Chiefs fans, hey, you still got Taylor Swift for now 179 00:10:25,520 --> 00:10:29,400 Speaker 9: gonna be a hell of a breakup song. Eventually, tell 180 00:10:29,440 --> 00:10:32,640 Speaker 9: the Kansas City Chiefs the fans that tell the Philadelphia 181 00:10:32,640 --> 00:10:35,679 Speaker 9: Eagles fans, hey Jalen Hurts had a good run. We're 182 00:10:35,679 --> 00:10:36,600 Speaker 9: putting a woman in there. 183 00:10:36,920 --> 00:10:41,360 Speaker 2: What would they say? No way, she can't handle that. 184 00:10:42,480 --> 00:10:46,320 Speaker 9: Yeah, but you didn't mind that Kamala couldn't handle being president, right, 185 00:10:47,120 --> 00:10:49,920 Speaker 9: you still voted for her. There are people who voted 186 00:10:49,960 --> 00:10:53,000 Speaker 9: for her, and you had to know she couldn't handle 187 00:10:53,040 --> 00:10:56,199 Speaker 9: the job. You understand that some people can be the 188 00:10:56,280 --> 00:10:58,360 Speaker 9: quarterback for the best team in NFL. Some people can't. 189 00:11:00,080 --> 00:11:01,800 Speaker 9: And if you can't, then we're not going to let 190 00:11:01,840 --> 00:11:03,760 Speaker 9: you take the snaps because you'll cause the rest of 191 00:11:03,840 --> 00:11:08,600 Speaker 9: us to fail. What a metaphor, Michael, How'd you come 192 00:11:08,720 --> 00:11:17,440 Speaker 9: up with that one? So you got you've got wells. 193 00:11:16,440 --> 00:11:17,040 Speaker 2: So many things. 194 00:11:17,160 --> 00:11:19,480 Speaker 9: Gosh, it's just so somebody asked me other days it 195 00:11:19,640 --> 00:11:21,719 Speaker 9: is it harder or it's got to be easy to 196 00:11:21,800 --> 00:11:25,840 Speaker 9: do your show now with Trump? No, it's harder because 197 00:11:26,280 --> 00:11:28,720 Speaker 9: I got to prioritize and all of these things make. 198 00:11:28,640 --> 00:11:31,040 Speaker 2: Me so happy. I just want to just come on 199 00:11:31,200 --> 00:11:33,760 Speaker 2: and like a steal. I just want to clap for 200 00:11:33,920 --> 00:11:39,560 Speaker 2: everything that's happening. That's what I want to do. Because 201 00:11:39,559 --> 00:11:41,720 Speaker 2: I lived through the last four years four oh three Ramon. 202 00:11:42,040 --> 00:11:45,800 Speaker 9: I lived through Joe Biden saying go get that clot 203 00:11:45,840 --> 00:11:49,240 Speaker 9: shot and people did, and they died, including my brother. 204 00:11:50,559 --> 00:11:54,160 Speaker 3: The various shots that people are getting now cover that 205 00:11:55,320 --> 00:11:57,400 Speaker 3: you're okay, you're not going to You're not going to 206 00:11:57,520 --> 00:11:59,920 Speaker 3: get COVID if you have these vaccinations. 207 00:12:02,040 --> 00:12:07,360 Speaker 9: Oh really, well what happened? Lives were lost, people died 208 00:12:07,440 --> 00:12:10,280 Speaker 9: from it. A new report coming out from Yale this 209 00:12:10,360 --> 00:12:18,360 Speaker 9: week declaring that the the the compromised immunized, the autoimmune 210 00:12:18,559 --> 00:12:26,200 Speaker 9: compromised imuno systems mirror AIDS. We are effectively putting someone 211 00:12:26,240 --> 00:12:29,480 Speaker 9: into that's people died. When people died of AIDS. They 212 00:12:29,520 --> 00:12:33,559 Speaker 9: didn't die of AIDS per se. They died of a 213 00:12:33,679 --> 00:12:37,559 Speaker 9: lack of an amino system. So they died of the 214 00:12:37,600 --> 00:12:39,800 Speaker 9: common cold. Because eventually you're going to get it and 215 00:12:39,840 --> 00:12:42,720 Speaker 9: your body can't fight it off. We've put people into 216 00:12:42,760 --> 00:12:47,040 Speaker 9: that situation. How much was that worth to Pfiser? How 217 00:12:47,160 --> 00:12:51,520 Speaker 9: much was that worth to Pfiser? How much money did 218 00:12:51,600 --> 00:12:57,640 Speaker 9: we blow? Just blow on climate change? Global warming? Here 219 00:12:57,760 --> 00:13:00,319 Speaker 9: is April of last year, Kamala Harris announced seeing a 220 00:13:00,440 --> 00:13:04,040 Speaker 9: twenty billion dollar climate lottery, just twenty billion dollars. 221 00:13:04,160 --> 00:13:08,720 Speaker 11: Just throw it away, and the majority of this twenty 222 00:13:08,920 --> 00:13:12,920 Speaker 11: billion dollars will go to communities that have historically been 223 00:13:13,040 --> 00:13:16,120 Speaker 11: left out and left behind. And here is what is 224 00:13:16,200 --> 00:13:20,760 Speaker 11: special about this announcement. For the first time in history, 225 00:13:21,320 --> 00:13:25,319 Speaker 11: we are providing tens of billions of dollars directly to 226 00:13:25,480 --> 00:13:29,640 Speaker 11: community lenders to finance local climate projects. 227 00:13:30,320 --> 00:13:31,920 Speaker 2: This is a novel approach. 228 00:13:32,040 --> 00:13:35,160 Speaker 11: It is actually the first time we have taken this 229 00:13:35,480 --> 00:13:39,800 Speaker 11: approach because we know that we have the capacity with 230 00:13:40,040 --> 00:13:44,440 Speaker 11: this approach to empower communities to decide which projects they 231 00:13:44,600 --> 00:13:48,840 Speaker 11: want that will have the greatest impact from their perspective 232 00:13:50,120 --> 00:13:53,160 Speaker 11: in the place they call home, and then we can 233 00:13:53,280 --> 00:13:56,320 Speaker 11: invest in those projects in a way that will actually 234 00:13:56,520 --> 00:13:59,520 Speaker 11: have value for the people who live there, instead of 235 00:13:59,600 --> 00:14:00,880 Speaker 11: us from Washington, d C. 236 00:14:01,559 --> 00:14:02,760 Speaker 2: Telling you what you need. 237 00:14:04,120 --> 00:14:05,520 Speaker 11: And that is critically imported. 238 00:14:06,360 --> 00:14:09,960 Speaker 2: Snap that neck, girl, Papa z Forest, Come on now. 239 00:14:10,120 --> 00:14:12,360 Speaker 11: So today, what we're going to do is that we 240 00:14:12,480 --> 00:14:16,319 Speaker 11: have chosen eight nonprofits to lead this work. From a 241 00:14:16,400 --> 00:14:21,360 Speaker 11: community of banks that are a network that serve Native communities, 242 00:14:21,960 --> 00:14:26,080 Speaker 11: to a rural economic development collective that works in Appalachia, 243 00:14:26,920 --> 00:14:29,680 Speaker 11: to a group of lenders that focus on economic and 244 00:14:29,760 --> 00:14:30,680 Speaker 11: climate justice. 245 00:14:30,960 --> 00:14:31,960 Speaker 2: Oh justice, Yes. 246 00:14:32,040 --> 00:14:34,600 Speaker 11: And this twenty billion dollar investment will allow these eight 247 00:14:34,720 --> 00:14:39,480 Speaker 11: nonprofits to fund tens of thousands of community based climate projects. 248 00:14:40,320 --> 00:14:43,720 Speaker 5: So I'd like you to imagine what this means and. 249 00:14:43,800 --> 00:14:45,040 Speaker 8: Who we who we? 250 00:14:45,520 --> 00:14:48,120 Speaker 2: We not going to see it in Washington, d C. 251 00:14:48,400 --> 00:14:49,640 Speaker 2: Let me hand this up for y'all. 252 00:14:49,680 --> 00:14:52,160 Speaker 12: This ain't how I really talk, but I like to 253 00:14:52,440 --> 00:14:55,000 Speaker 12: I like to go, you know, a little madeia on 254 00:14:55,200 --> 00:14:57,560 Speaker 12: y'all when I'm trying to, you know, bring a little 255 00:14:57,760 --> 00:15:00,440 Speaker 12: sass to this character I'm playing for y'all. 256 00:15:00,640 --> 00:15:04,680 Speaker 2: Okay, what I'm saying is, who are we sitting in Washington, 257 00:15:04,800 --> 00:15:08,640 Speaker 2: d C? To tell people how they ought to spend 258 00:15:08,880 --> 00:15:09,880 Speaker 2: the money we give them? 259 00:15:10,280 --> 00:15:11,920 Speaker 5: Who is we to do that? 260 00:15:13,000 --> 00:15:15,400 Speaker 2: That's not for us? And I'm not gonna have it. 261 00:15:15,800 --> 00:15:19,040 Speaker 3: We gonna hand out twenty billion dollars and it's gonna 262 00:15:19,080 --> 00:15:22,920 Speaker 3: be a poor white man in Appalachia, and it's gonna 263 00:15:22,960 --> 00:15:24,400 Speaker 3: be a sister in Detroit. 264 00:15:25,160 --> 00:15:28,840 Speaker 2: It's gonna be Native communities. And we not gonna ask 265 00:15:28,920 --> 00:15:29,800 Speaker 2: who you sleep whip. 266 00:15:30,440 --> 00:15:33,480 Speaker 3: We're not gonna ask where you're from. We're not gonna 267 00:15:33,560 --> 00:15:37,440 Speaker 3: ask how you worship. And we're gonna be America up 268 00:15:37,480 --> 00:15:40,480 Speaker 3: in here. We're gonna send all this money and all 269 00:15:40,560 --> 00:15:43,240 Speaker 3: these good things are gonna be done, and all the 270 00:15:43,400 --> 00:15:44,680 Speaker 3: saints are gonna say Amen. 271 00:15:44,760 --> 00:15:47,320 Speaker 2: Can y'all help me out up in here? Can I 272 00:15:47,400 --> 00:15:48,280 Speaker 2: get that from y'all? 273 00:15:49,000 --> 00:15:51,480 Speaker 3: And that's what we're gonna do, twenty billion dollars and 274 00:15:51,560 --> 00:15:54,080 Speaker 3: we just getting started, and we're gonna send it out 275 00:15:54,120 --> 00:15:56,880 Speaker 3: to all y'all. And when election time come, y'all gonna 276 00:15:56,880 --> 00:15:59,120 Speaker 3: turn around and fill out them ballants, one thousand at 277 00:15:59,160 --> 00:16:00,240 Speaker 3: a time and send come in. 278 00:16:01,160 --> 00:16:03,520 Speaker 2: And we're gonna keep on doing till we run this 279 00:16:03,720 --> 00:16:06,360 Speaker 2: country in the ground. And we're gonna blame the white 280 00:16:06,440 --> 00:16:09,320 Speaker 2: racist don't vote for us the whole time. 281 00:16:09,400 --> 00:16:12,840 Speaker 3: And we ain't gonna stop until we'd done till we 282 00:16:13,000 --> 00:16:14,400 Speaker 3: done climb that mount? 283 00:16:14,800 --> 00:16:35,200 Speaker 2: Can I get a naming? Michael Mary's show. Elon Musk was. 284 00:16:37,000 --> 00:16:38,520 Speaker 9: In an interview a few days ago, and he was 285 00:16:38,560 --> 00:16:41,040 Speaker 9: talking about the fact that if you want to find 286 00:16:41,080 --> 00:16:47,360 Speaker 9: out who the fraudsters are in a database, you just 287 00:16:47,520 --> 00:16:51,240 Speaker 9: change the rules and they'll be the ones that'll scream. 288 00:16:52,360 --> 00:16:56,240 Speaker 9: And he said he learned that when he was at PayPal, 289 00:16:56,320 --> 00:16:59,040 Speaker 9: and he's one of the founders of PayPal, and he 290 00:16:59,120 --> 00:17:03,480 Speaker 9: figured out pretty quickquickly that the people who complained the loudest, 291 00:17:03,560 --> 00:17:08,400 Speaker 9: the quickest, and the most righteous indignation, they will kind 292 00:17:08,440 --> 00:17:10,639 Speaker 9: of tell you that that's who they are. This is 293 00:17:10,720 --> 00:17:12,080 Speaker 9: five eighteen ramon. 294 00:17:12,720 --> 00:17:15,760 Speaker 5: By this rage against you. Now first they hated him, 295 00:17:15,800 --> 00:17:16,760 Speaker 5: now they hate both of you. 296 00:17:16,960 --> 00:17:20,399 Speaker 7: Well, I think we're seeing an antibody reaction from from 297 00:17:20,440 --> 00:17:23,640 Speaker 7: those who are receiving the wasteful and fudulent money. 298 00:17:23,960 --> 00:17:27,840 Speaker 5: They're being exposed. Yes, nobody wants to be exposed. I'll 299 00:17:27,840 --> 00:17:28,119 Speaker 5: tell you a. 300 00:17:28,160 --> 00:17:29,199 Speaker 2: Lesson I learned at PayPal. 301 00:17:29,520 --> 00:17:33,080 Speaker 7: You know who complained the loudest and the quickest, and 302 00:17:33,160 --> 00:17:35,440 Speaker 7: the loudest and with the most amount of righteous indignation 303 00:17:35,960 --> 00:17:40,240 Speaker 7: the fraudsterress. That's who complained first, loudest, and they would 304 00:17:40,240 --> 00:17:42,240 Speaker 7: generally have this immense overreaction. 305 00:17:42,800 --> 00:17:44,160 Speaker 2: That's how we knew there were the Fordsys. 306 00:17:44,480 --> 00:17:45,120 Speaker 5: That's how we knew. 307 00:17:45,400 --> 00:17:45,920 Speaker 2: That's a tell. 308 00:17:47,560 --> 00:17:50,879 Speaker 9: Pretty fascinating, right hit dogs wheels first, Right here is 309 00:17:50,960 --> 00:17:56,200 Speaker 9: President Trump talking about the Social Security fraud. And there's 310 00:17:56,240 --> 00:17:58,960 Speaker 9: one person receiving checks that's three hundred and sixty years old, 311 00:17:59,000 --> 00:18:01,800 Speaker 9: which is older than our country one hundred. 312 00:18:01,560 --> 00:18:04,879 Speaker 6: To two hundred and nine years old, eight hundred and 313 00:18:04,920 --> 00:18:07,880 Speaker 6: seventy nine people from two hundred and ten years old. 314 00:18:08,000 --> 00:18:11,399 Speaker 6: I haven't met any of them, and if I did, 315 00:18:11,520 --> 00:18:14,840 Speaker 6: I would bless them. I would, I would worship the 316 00:18:14,920 --> 00:18:17,719 Speaker 6: ground they walk on. Two hundred and ten to two 317 00:18:17,800 --> 00:18:21,520 Speaker 6: hundred and nineteen years eight hundred and sixty six, from 318 00:18:21,560 --> 00:18:24,440 Speaker 6: two hundred and twenty years old to two hundred and 319 00:18:24,480 --> 00:18:27,879 Speaker 6: twenty nine years old, one thousand and thirty nine. And 320 00:18:28,080 --> 00:18:30,720 Speaker 6: then you have two people from two hundred and forty 321 00:18:30,800 --> 00:18:32,720 Speaker 6: years old to two hundred and forty nine years old, 322 00:18:33,920 --> 00:18:37,520 Speaker 6: one person, and there's one person that's three hundred and 323 00:18:37,680 --> 00:18:38,440 Speaker 6: sixty years old. 324 00:18:41,280 --> 00:18:41,840 Speaker 5: That's just that. 325 00:18:42,240 --> 00:18:47,200 Speaker 2: And then where's the money being spent? Where is the 326 00:18:47,240 --> 00:18:47,920 Speaker 2: money being spent? 327 00:18:49,560 --> 00:18:54,760 Speaker 9: Where's it going? I mean, where's the money being spent 328 00:18:54,800 --> 00:18:57,800 Speaker 9: and who's it being spent on? Well, I'll tell you. 329 00:18:57,920 --> 00:19:00,880 Speaker 9: Let's go to clip six forty one. Roman Bill Mlusian 330 00:19:00,920 --> 00:19:03,560 Speaker 9: who started as a local Fox reporter out of California 331 00:19:03,680 --> 00:19:06,480 Speaker 9: and Fox National picked him up. He's been on the 332 00:19:07,240 --> 00:19:10,760 Speaker 9: illegal alien border beat for a long time and he's 333 00:19:10,840 --> 00:19:14,960 Speaker 9: talking about a San Diego Non government office NGO, a 334 00:19:15,080 --> 00:19:18,280 Speaker 9: shelter for illegals that was closing its doors. It has 335 00:19:18,320 --> 00:19:22,800 Speaker 9: now been closed because no new families coming in since 336 00:19:22,880 --> 00:19:26,879 Speaker 9: Trump took office. Turns out, when you start deporting people, 337 00:19:28,040 --> 00:19:31,720 Speaker 9: nobody wants to make the hike up here if you're 338 00:19:31,840 --> 00:19:34,800 Speaker 9: then going to be turned around and sent back. So 339 00:19:35,000 --> 00:19:37,040 Speaker 9: that's turned out to be as good as the border, 340 00:19:37,160 --> 00:19:39,520 Speaker 9: and it reduces a number of people of the border, 341 00:19:39,560 --> 00:19:40,879 Speaker 9: so they're not crashing the border. 342 00:19:41,680 --> 00:19:42,440 Speaker 2: Here's that story. 343 00:19:43,560 --> 00:19:46,520 Speaker 13: So this San Diego NGO says it's shelter has had 344 00:19:46,600 --> 00:19:49,439 Speaker 13: not a single migrant walked through its door since President 345 00:19:49,480 --> 00:19:52,280 Speaker 13: Trump took office. They're now closing that shelter down and 346 00:19:52,359 --> 00:19:55,240 Speaker 13: laying off more than one hundred employees, they say because 347 00:19:55,240 --> 00:19:58,320 Speaker 13: of Trump's border policies and is ending of their federal funding. 348 00:19:58,440 --> 00:20:00,320 Speaker 2: Jewish Family Service San Diego. 349 00:20:00,400 --> 00:20:03,119 Speaker 13: Has been running a rapid response migrant shelter that offered 350 00:20:03,160 --> 00:20:08,040 Speaker 13: migrants care packages, food, legal services, travel coordination, medical screenings, 351 00:20:08,280 --> 00:20:11,520 Speaker 13: and immigration case management. FEMA records show they had been 352 00:20:11,520 --> 00:20:14,400 Speaker 13: allocated twenty two million dollars last year, but the NGO 353 00:20:14,480 --> 00:20:17,560 Speaker 13: says they've received none of that money. Jewish Family Service 354 00:20:17,600 --> 00:20:20,159 Speaker 13: San Diego points the finger at President Trump, saying, in 355 00:20:20,200 --> 00:20:22,760 Speaker 13: part quote, with migrants no longer able to use the 356 00:20:22,840 --> 00:20:26,320 Speaker 13: CBP one application, the shelter has not received new families 357 00:20:26,359 --> 00:20:28,760 Speaker 13: and individuals released from short term federal custody. 358 00:20:30,359 --> 00:20:33,000 Speaker 9: There it is, so why would you be mad? Clip 359 00:20:33,119 --> 00:20:35,960 Speaker 9: number six oh four. Vermon, why would you be mad 360 00:20:36,880 --> 00:20:39,840 Speaker 9: that those you stepping forward and showing where all the 361 00:20:39,920 --> 00:20:42,440 Speaker 9: waste and fraud is unless you're in a cult. 362 00:20:43,280 --> 00:20:46,600 Speaker 14: Even CNN is admitting now that Democrats are falling apart 363 00:20:46,680 --> 00:20:49,880 Speaker 14: and are a laughingstock for their behavior attacking Elon Musk 364 00:20:49,920 --> 00:20:52,680 Speaker 14: in a rally where Chuck Schumer and Maxine Waters were 365 00:20:52,800 --> 00:20:54,800 Speaker 14: dancing and yelling with each other and what might be 366 00:20:55,119 --> 00:20:58,000 Speaker 14: one of the most cringeworthy political clips that you'll ever see. 367 00:20:58,440 --> 00:21:01,800 Speaker 14: The reason Democrats are so many at Elon, though, besides 368 00:21:01,880 --> 00:21:04,880 Speaker 14: him dismantling agencies that push their agenda around the world, 369 00:21:05,240 --> 00:21:07,119 Speaker 14: is because, and I'm not joking, he may have just 370 00:21:07,280 --> 00:21:10,679 Speaker 14: uncovered the biggest scandal in news media history. 371 00:21:10,920 --> 00:21:13,200 Speaker 2: I'm going to build up to that in this video. 372 00:21:13,520 --> 00:21:16,960 Speaker 14: First, for perfect context, there is a clip going ultra 373 00:21:17,320 --> 00:21:20,480 Speaker 14: viral all over social media that Elon shared on x 374 00:21:20,760 --> 00:21:24,080 Speaker 14: It speaks perfectly besides the language which I've cut out 375 00:21:24,160 --> 00:21:27,240 Speaker 14: for you, to how most of the American people feel 376 00:21:27,480 --> 00:21:30,760 Speaker 14: and how delusional and out of touched lost the current 377 00:21:30,840 --> 00:21:33,960 Speaker 14: Democratic Party is right now as Trump and Elon and 378 00:21:34,040 --> 00:21:36,040 Speaker 14: Doge clean up the American government. 379 00:21:36,359 --> 00:21:39,040 Speaker 5: This is spicy. Check this out I'm Zach Costello. 380 00:21:39,520 --> 00:21:42,879 Speaker 15: It is just going downhill for the Democrats. Dude, can 381 00:21:42,960 --> 00:21:46,800 Speaker 15: you please tell me if someone right rob the bank? Okay, 382 00:21:46,880 --> 00:21:48,679 Speaker 15: let's just let's talk about a hypothetical before we get 383 00:21:48,680 --> 00:21:50,880 Speaker 15: into the real, real quick. If someone robbed a bank, 384 00:21:51,760 --> 00:21:54,600 Speaker 15: someone watched the security footage, saw who robbed the bank, 385 00:21:54,920 --> 00:21:56,960 Speaker 15: told you who robbed the bank, You caught who robbed 386 00:21:56,960 --> 00:21:58,200 Speaker 15: the bank? Are you going to be met at the 387 00:21:58,240 --> 00:22:00,040 Speaker 15: person that robbed the bank of the person that told you. 388 00:22:00,200 --> 00:22:00,800 Speaker 2: Were being robbed? 389 00:22:01,320 --> 00:22:03,399 Speaker 15: Okay, that's what's going on with Elon Musk right now. 390 00:22:04,119 --> 00:22:07,440 Speaker 15: For those of you that don't understand, Okay, Elon Musk 391 00:22:07,600 --> 00:22:11,760 Speaker 15: was hired for the Department of Government Efficiency. What does 392 00:22:11,800 --> 00:22:14,680 Speaker 15: a Department of Government Efficiency do? What is its main 393 00:22:14,840 --> 00:22:17,840 Speaker 15: number one goal? To make sure that our government is 394 00:22:17,920 --> 00:22:22,280 Speaker 15: running efficiently domit And here you are literally trying to 395 00:22:22,440 --> 00:22:26,160 Speaker 15: shoot Passinger because he is showing you that a lot 396 00:22:26,240 --> 00:22:30,000 Speaker 15: of our money is being wasted that is not needed. 397 00:22:30,200 --> 00:22:30,760 Speaker 8: What type of. 398 00:22:31,480 --> 00:22:34,439 Speaker 15: Transgender opera do you need overseas? What type of all 399 00:22:34,480 --> 00:22:38,159 Speaker 15: of these DEI inclusivity programs do you need to be 400 00:22:38,200 --> 00:22:42,400 Speaker 15: spending our money on overseas? And instead of being mad 401 00:22:42,520 --> 00:22:45,919 Speaker 15: at the people that are stealing our money and spending 402 00:22:46,000 --> 00:22:49,320 Speaker 15: it one hundred percent irresponsibly. You are mad at the 403 00:22:49,400 --> 00:22:52,800 Speaker 15: man who told you you were being ripped golf. You 404 00:22:52,960 --> 00:22:56,359 Speaker 15: are a making cult member, plain and simple. There is 405 00:22:56,520 --> 00:22:57,359 Speaker 15: no saving for you. 406 00:22:57,480 --> 00:22:59,080 Speaker 2: Okay. Every single time you guys. 407 00:22:58,920 --> 00:23:01,399 Speaker 15: Continue to peddle these lines, you are screaming more and 408 00:23:01,520 --> 00:23:03,440 Speaker 15: more that you're a cult member. And the more and 409 00:23:03,560 --> 00:23:05,639 Speaker 15: more you do it, the more and more the moderate 410 00:23:05,680 --> 00:23:10,560 Speaker 15: Democrats are going to leave you. Keep going, keep going, 411 00:23:10,800 --> 00:23:13,560 Speaker 15: show your utter stupidity. It's what you've been doing for 412 00:23:13,680 --> 00:23:14,200 Speaker 15: four years. 413 00:23:14,520 --> 00:23:15,000 Speaker 5: Keep it up. 414 00:23:15,240 --> 00:23:17,360 Speaker 15: The rest of us are happy that we found out 415 00:23:17,359 --> 00:23:19,200 Speaker 15: what we already knew, that we were being robbed. It 416 00:23:19,320 --> 00:23:21,760 Speaker 15: must be shocking for you to deal with facts, but 417 00:23:21,840 --> 00:23:22,919 Speaker 15: they're going to keep coming out. 418 00:23:23,160 --> 00:23:23,360 Speaker 5: Yeah. 419 00:23:23,760 --> 00:23:26,879 Speaker 14: So the Democrats are attacking Elon Musk because he is 420 00:23:26,960 --> 00:23:29,239 Speaker 14: the one telling us that we've been robbed by our 421 00:23:29,280 --> 00:23:31,960 Speaker 14: government for a long time. They're trying to paint Elon 422 00:23:32,040 --> 00:23:34,480 Speaker 14: as some independent, unelected agent. 423 00:23:37,119 --> 00:23:39,119 Speaker 2: Again. We have taken to. 424 00:23:41,040 --> 00:23:44,719 Speaker 9: Sharing other people's perspectives on making sense of this all 425 00:23:44,800 --> 00:23:46,480 Speaker 9: because I think it's good for you to hear voices 426 00:23:46,520 --> 00:23:50,399 Speaker 9: other than mine and presentations other than mine, because what 427 00:23:50,520 --> 00:23:52,600 Speaker 9: you're noticing is how many people, all of us, with 428 00:23:52,640 --> 00:23:57,280 Speaker 9: different backgrounds, across different parts of the country, different educations 429 00:23:57,320 --> 00:24:00,479 Speaker 9: and life experiences and all that, and yet we're all 430 00:24:00,600 --> 00:24:02,880 Speaker 9: coming to the same conclusion, the same conclusion you're coming. 431 00:24:03,960 --> 00:24:07,080 Speaker 9: Bring common sense back, get out of the way. Let 432 00:24:07,160 --> 00:24:10,280 Speaker 9: Trump and Elon find the waste and let's root it out. 433 00:24:10,359 --> 00:24:12,600 Speaker 9: Let's kick the bad guys out, Let's punish them. 434 00:24:12,800 --> 00:24:18,640 Speaker 2: It's not hard, really, Michael Berry Show. 435 00:24:20,240 --> 00:24:26,560 Speaker 9: Michael Fronseise is a fellow who was a former mobster, 436 00:24:28,080 --> 00:24:30,480 Speaker 9: and the story goes that he was enrolled in a 437 00:24:30,560 --> 00:24:34,359 Speaker 9: pre med program at Hostra University, but was given the 438 00:24:34,440 --> 00:24:39,040 Speaker 9: opportunity to make some money for his family, and his 439 00:24:39,200 --> 00:24:42,280 Speaker 9: father had just been sentenced to fifty years in prison. 440 00:24:43,560 --> 00:24:48,000 Speaker 2: For bank robbery. This was nineteen sixty seven, and. 441 00:24:50,080 --> 00:24:55,080 Speaker 9: So Fronseise story goes, put in place a scheme to 442 00:24:55,320 --> 00:24:58,639 Speaker 9: defraud the federal government out of gasoline taxes in the 443 00:24:58,720 --> 00:25:03,159 Speaker 9: early eighties, at the age of thirty five. In nineteen 444 00:25:03,200 --> 00:25:08,000 Speaker 9: eighty six, Fortune magazine listed Fransese as number eighteen on 445 00:25:08,080 --> 00:25:09,960 Speaker 9: the list of the fifty most wealthy and. 446 00:25:10,119 --> 00:25:14,439 Speaker 2: Powerful mafia bosses. Why do I tell you all of this. 447 00:25:16,200 --> 00:25:22,680 Speaker 9: Because he was he was Bill Maher's guest on a 448 00:25:24,040 --> 00:25:28,000 Speaker 9: podcast he does called Club Random. Bill Marhr is an 449 00:25:28,040 --> 00:25:32,359 Speaker 9: interesting cat because he is a classic white liberal and 450 00:25:32,520 --> 00:25:34,600 Speaker 9: people will get angry at me because they fall in 451 00:25:34,680 --> 00:25:37,760 Speaker 9: love with him because he says something about Obama mouthing 452 00:25:37,840 --> 00:25:42,639 Speaker 9: off for Biden being braindead or Kamala, you know, being whatever, 453 00:25:43,240 --> 00:25:47,120 Speaker 9: and people get excited because our side loves it when 454 00:25:47,200 --> 00:25:50,440 Speaker 9: the other side says something that we agree with, and 455 00:25:50,760 --> 00:25:52,520 Speaker 9: you have to be careful with that. That's how you 456 00:25:52,720 --> 00:25:54,800 Speaker 9: end up with bad Republicans because they know how to 457 00:25:54,840 --> 00:25:57,239 Speaker 9: push your button because you get this validation when they 458 00:25:57,560 --> 00:26:00,960 Speaker 9: say something with which you agree. But anyway, he was 459 00:26:01,080 --> 00:26:04,119 Speaker 9: on this podcast with Bill Maher and he made a 460 00:26:04,200 --> 00:26:06,120 Speaker 9: statement I think was pretty good. And here's a guy 461 00:26:06,160 --> 00:26:09,960 Speaker 9: who understands crime. He was part of a criminal network. 462 00:26:10,800 --> 00:26:13,080 Speaker 9: And he says that the worst thing that Biden did 463 00:26:13,119 --> 00:26:15,320 Speaker 9: as president, of all the things, was to leave the 464 00:26:15,400 --> 00:26:18,840 Speaker 9: border open. And he's talking about all of the crimes 465 00:26:19,119 --> 00:26:22,160 Speaker 9: that filtered into this country that are so bedded down 466 00:26:22,320 --> 00:26:25,040 Speaker 9: like a tick in our country today. And I think 467 00:26:25,080 --> 00:26:27,560 Speaker 9: he speaks from a position of great authority when he 468 00:26:27,600 --> 00:26:27,920 Speaker 9: says this. 469 00:26:28,040 --> 00:26:28,720 Speaker 2: I think he's right. 470 00:26:29,200 --> 00:26:31,040 Speaker 1: This goes back to what I said about the worst 471 00:26:31,080 --> 00:26:34,879 Speaker 1: thing Biden did. He just gave into every bad impulse 472 00:26:35,400 --> 00:26:38,880 Speaker 1: from the fringe. That's not the worst thing Biden did. Okay, Yeah, 473 00:26:39,880 --> 00:26:42,359 Speaker 1: asked for an answer without us no, no, no, no. 474 00:26:42,760 --> 00:26:45,040 Speaker 16: Forget about him stealing the money and being treason is 475 00:26:45,160 --> 00:26:48,360 Speaker 16: that was as a vice president? Well, okay, always being 476 00:26:48,440 --> 00:26:50,879 Speaker 16: nice none trump it and saying no, no, no no 477 00:26:51,200 --> 00:26:54,120 Speaker 16: before you say that the worst thing Joe Biden did. 478 00:26:54,800 --> 00:26:56,520 Speaker 16: The guy's got blowt on his hands for what he 479 00:26:56,560 --> 00:26:58,000 Speaker 16: did at the border, and a lot people come in 480 00:26:58,080 --> 00:27:00,680 Speaker 16: here to kill people in this country. Did a terrible 481 00:27:00,760 --> 00:27:02,720 Speaker 16: job with the border. Is it enough that I agree 482 00:27:02,760 --> 00:27:02,920 Speaker 16: with that? 483 00:27:03,080 --> 00:27:04,040 Speaker 5: Okay? Why did he do it? 484 00:27:04,160 --> 00:27:06,040 Speaker 16: Because you wanted to turn every state blue? There was 485 00:27:06,080 --> 00:27:08,119 Speaker 16: no other reason for it, and so they would never 486 00:27:08,200 --> 00:27:10,600 Speaker 16: lose another all these people, that's fair. 487 00:27:11,040 --> 00:27:11,680 Speaker 5: I don't know if of that. 488 00:27:17,080 --> 00:27:21,640 Speaker 1: Well, the left, the big, they're big, their biggest problem. 489 00:27:21,760 --> 00:27:25,200 Speaker 1: I think they have many psychologically, but one is the 490 00:27:25,560 --> 00:27:27,800 Speaker 1: the you know, wine sipping. 491 00:27:27,880 --> 00:27:31,120 Speaker 5: Liberals, the white liberals, the white liberals. 492 00:27:31,720 --> 00:27:37,080 Speaker 1: This is mostly they just have this crazy need to 493 00:27:37,200 --> 00:27:41,160 Speaker 1: beat themselves up about race in ways. 494 00:27:43,320 --> 00:27:46,400 Speaker 5: That's it is, It's so part of their identity. 495 00:27:46,480 --> 00:27:48,920 Speaker 1: And of course it's so hypocriticals, like, if you really 496 00:27:48,960 --> 00:27:49,840 Speaker 1: feel that bad. 497 00:27:50,000 --> 00:27:52,040 Speaker 5: Go switch houses with somebody in competent. 498 00:27:52,119 --> 00:27:55,520 Speaker 1: I'm you don't live in your house in the valley, 499 00:27:55,560 --> 00:27:57,400 Speaker 1: and you could live and you'll never see that happen. 500 00:27:57,720 --> 00:27:58,400 Speaker 5: Of course none. 501 00:27:58,640 --> 00:28:01,159 Speaker 1: But so that's the thing is that they did not 502 00:28:01,320 --> 00:28:03,840 Speaker 1: want to be They so don't want to be seen 503 00:28:03,880 --> 00:28:08,040 Speaker 1: as racist, that it's somehow in their This is again 504 00:28:08,560 --> 00:28:10,840 Speaker 1: what they do that's so infuriating. They go to the 505 00:28:11,240 --> 00:28:17,639 Speaker 1: ultimate end of what's counterintuitive. Often we're just dumb, and 506 00:28:17,760 --> 00:28:20,800 Speaker 1: they go all the way to, well, then we can't 507 00:28:21,000 --> 00:28:23,720 Speaker 1: stop anybody from coming into the country because that would 508 00:28:23,720 --> 00:28:25,640 Speaker 1: be racist, and that's not racist. 509 00:28:26,480 --> 00:28:29,680 Speaker 16: It's just what every country has to do. I hear you, 510 00:28:30,080 --> 00:28:33,120 Speaker 16: and I appreciate that. But I don't believe that they're 511 00:28:33,160 --> 00:28:36,960 Speaker 16: that that they're worried so much about that these people. 512 00:28:37,000 --> 00:28:38,880 Speaker 5: And they are trust me, this is my people. These 513 00:28:38,920 --> 00:28:42,560 Speaker 5: are my people. Well, these are I know these people. 514 00:28:42,680 --> 00:28:45,080 Speaker 16: Bill, They're not even your people anymore, because you've said 515 00:28:45,120 --> 00:28:48,240 Speaker 16: it right, you haven't changed, the party has changed. 516 00:28:48,240 --> 00:28:49,160 Speaker 5: They're not your people. 517 00:28:49,240 --> 00:28:51,200 Speaker 1: What I mean is there are people I know because 518 00:28:51,320 --> 00:28:54,720 Speaker 1: I live here amid show business in Hollywood and I'll 519 00:28:54,720 --> 00:28:58,240 Speaker 1: admit this to show business and our community is the 520 00:28:58,400 --> 00:29:02,640 Speaker 1: epicenter of the problem. It is work, it's where the 521 00:29:02,720 --> 00:29:06,440 Speaker 1: stupidity is deepest about this kind of stuff. I mean, 522 00:29:07,000 --> 00:29:08,760 Speaker 1: I'm a proud liberal, but I'm not. 523 00:29:09,240 --> 00:29:12,480 Speaker 16: Do you think they really care about these people that 524 00:29:12,560 --> 00:29:15,080 Speaker 16: they're bleeding hearts and they needed to come here? 525 00:29:15,160 --> 00:29:18,280 Speaker 5: What they And no, I'm not saying they do. I'm 526 00:29:18,320 --> 00:29:19,480 Speaker 5: not arguing with you. Now. 527 00:29:19,760 --> 00:29:23,040 Speaker 1: What I'm saying is similar to what you're saying. It's 528 00:29:23,120 --> 00:29:27,000 Speaker 1: so important to their identity. They're what I call liberals 529 00:29:27,120 --> 00:29:29,720 Speaker 1: in theory because I see how some of them act 530 00:29:29,880 --> 00:29:32,880 Speaker 1: like in day to day with people, with their assistance 531 00:29:33,200 --> 00:29:33,760 Speaker 1: that kind of. 532 00:29:33,760 --> 00:29:35,840 Speaker 5: Stuff, and it's so not liberal. 533 00:29:36,440 --> 00:29:41,120 Speaker 1: It's it's just so and and and you know, born 534 00:29:41,200 --> 00:29:43,880 Speaker 1: to the matter, and you know they're often very well 535 00:29:44,000 --> 00:29:46,280 Speaker 1: to do and not afraid to spend their money on 536 00:29:46,360 --> 00:29:47,440 Speaker 1: the stupidest things. 537 00:29:48,040 --> 00:29:52,440 Speaker 5: So, yeah, they're hypocrites. Come on, they're such hypocrites, thank you. Yeah, yeah, 538 00:29:52,920 --> 00:29:56,200 Speaker 5: they really are. You don't have any Biden couldn't give it. 539 00:29:56,560 --> 00:30:00,120 Speaker 1: If Biden, if he showed anything about the sliver of 540 00:30:00,360 --> 00:30:01,800 Speaker 1: people here we're not talking about all. 541 00:30:03,160 --> 00:30:04,840 Speaker 5: He's at the head of the he was at the 542 00:30:04,920 --> 00:30:05,720 Speaker 5: head for four years. 543 00:30:07,360 --> 00:30:10,280 Speaker 1: And that's why the Democrats lost, because they they lost 544 00:30:10,320 --> 00:30:13,160 Speaker 1: their touch with their own voters. They lost because their 545 00:30:13,240 --> 00:30:16,880 Speaker 1: policies are all vulnerable, right, and they still haven't gotten 546 00:30:16,960 --> 00:30:20,680 Speaker 1: it because they're still fighting the well, the the uh. 547 00:30:20,880 --> 00:30:23,680 Speaker 1: We're going to probably talk about this on my show Friday. 548 00:30:24,240 --> 00:30:27,120 Speaker 1: The new head of the Democratic Committee, is it. 549 00:30:27,360 --> 00:30:27,520 Speaker 16: Yeah. 550 00:30:27,800 --> 00:30:29,960 Speaker 5: And they started the meeting like, okay. 551 00:30:29,720 --> 00:30:32,280 Speaker 1: We have to We lost in election terribly to the 552 00:30:32,400 --> 00:30:34,000 Speaker 1: guy we said could never win. 553 00:30:34,280 --> 00:30:37,200 Speaker 5: Okay, and he did it again. Okay, so we need 554 00:30:37,320 --> 00:30:40,520 Speaker 5: a new leader and a new way of doing things. 555 00:30:40,800 --> 00:30:44,080 Speaker 1: But first we must acknowledge that we are sitting on 556 00:30:44,280 --> 00:30:49,040 Speaker 1: land that was properly owning by the Chamash people. 557 00:30:50,400 --> 00:30:52,040 Speaker 5: Shame you're idiots. 558 00:30:52,960 --> 00:30:53,080 Speaker 8: You know. 559 00:30:53,160 --> 00:30:54,880 Speaker 1: I did a whole bit on it in my special, 560 00:30:55,120 --> 00:30:58,120 Speaker 1: like really, either shut the upper gibbet back, those are 561 00:30:58,160 --> 00:31:00,200 Speaker 1: the only two choices, and you don't want to give 562 00:31:00,200 --> 00:31:00,560 Speaker 1: it back. 563 00:31:01,000 --> 00:31:05,240 Speaker 5: Okay. So my theory, I think it's based on sound foundation. 564 00:31:05,520 --> 00:31:07,400 Speaker 16: The only reason they opened up the boarder didn't care 565 00:31:07,440 --> 00:31:10,400 Speaker 16: who came in, who killed who, whose taxpayer. 566 00:31:10,000 --> 00:31:12,800 Speaker 5: Money went to spend it. He didn't care make every 567 00:31:12,880 --> 00:31:16,840 Speaker 5: state blue. That's it. You're never losing that's Jerry. 568 00:31:17,040 --> 00:31:19,720 Speaker 1: That's again the reason why I believe you think that 569 00:31:19,960 --> 00:31:21,880 Speaker 1: is because I have a pretty good idea of what 570 00:31:22,160 --> 00:31:25,120 Speaker 1: media you listen to. So that's the kind of thing 571 00:31:25,200 --> 00:31:27,680 Speaker 1: they say, and there may be some truth to that. 572 00:31:27,920 --> 00:31:30,520 Speaker 1: But you know, at first, what's a bad idea. You 573 00:31:30,600 --> 00:31:33,400 Speaker 1: know why, because the Latinos are voting for Trump, but. 574 00:31:33,480 --> 00:31:36,160 Speaker 16: They didn't know that they were so bad. They thought 575 00:31:36,200 --> 00:31:38,200 Speaker 16: it was going to go the other way. You're right, 576 00:31:38,480 --> 00:31:40,160 Speaker 16: that's going to go the other way. I'm not sure 577 00:31:40,240 --> 00:31:42,600 Speaker 16: that was I think it's more the other thing is 578 00:31:42,840 --> 00:31:48,080 Speaker 16: we're not racist. Everyone should come here. Yeah, okay, everyone 579 00:31:48,120 --> 00:31:51,280 Speaker 16: should come here, and every taxpayer should should take They 580 00:31:51,320 --> 00:31:53,400 Speaker 16: didn't know, they didn't calculate anything. 581 00:31:53,560 --> 00:31:56,320 Speaker 5: As with everything, there's the same middle ground. I mean, 582 00:31:57,240 --> 00:32:00,360 Speaker 5: like when Trump says there is the criminals they're reading, 583 00:32:00,400 --> 00:32:01,600 Speaker 5: they're reading the talks. 584 00:32:02,040 --> 00:32:05,040 Speaker 1: Okay, well they do eat thogs like it sound funny, 585 00:32:05,160 --> 00:32:08,280 Speaker 1: like nobody will just come to the middle. Like absolutely, 586 00:32:08,720 --> 00:32:12,040 Speaker 1: most immigrants just want a job and they're law abiding. 587 00:32:12,440 --> 00:32:16,280 Speaker 1: But also you know that that Venezuelan gang is not 588 00:32:16,400 --> 00:32:17,200 Speaker 1: a boy band. 589 00:32:17,960 --> 00:32:20,680 Speaker 5: You know that I don't want them in my country. 590 00:32:22,680 --> 00:32:26,640 Speaker 2: Elvis has unity, Thank you and good night.