1 00:00:01,720 --> 00:00:04,920 Speaker 1: Cool media. 2 00:00:05,160 --> 00:00:08,520 Speaker 2: Welcome to and it could happen here special Report. I'm 3 00:00:08,560 --> 00:00:12,360 Speaker 2: Garrison Davis. I'm joined by James Stout and Sophie right Laterman, 4 00:00:13,600 --> 00:00:17,919 Speaker 2: we are here to discuss Trump's first Joint Session speech 5 00:00:18,400 --> 00:00:22,119 Speaker 2: of his second term. This is basically the equivalent of 6 00:00:22,160 --> 00:00:24,279 Speaker 2: a State of the Union, except it's too early to 7 00:00:24,320 --> 00:00:26,160 Speaker 2: really give a good state of the Union, even though 8 00:00:26,200 --> 00:00:28,600 Speaker 2: this month has felt kind of like a year. So 9 00:00:29,680 --> 00:00:32,640 Speaker 2: we are doing a special report here in addition to 10 00:00:32,760 --> 00:00:36,479 Speaker 2: our regular Executive Disorder episode because there is just so 11 00:00:36,600 --> 00:00:39,080 Speaker 2: much to talk about that we cannot fit it all 12 00:00:39,159 --> 00:00:48,159 Speaker 2: in our regular EDA. Pause for effect. Okay, this was 13 00:00:48,280 --> 00:00:55,640 Speaker 2: us speaking of This was the longest joint Session speech 14 00:00:55,720 --> 00:00:59,760 Speaker 2: in American history, and man, it felt like it lasted 15 00:00:59,800 --> 00:01:00,240 Speaker 2: for ever. 16 00:01:00,480 --> 00:01:03,280 Speaker 1: Yeah, I was gonna say, and boy, howdy did it 17 00:01:03,440 --> 00:01:05,080 Speaker 1: feel never ending? 18 00:01:05,360 --> 00:01:07,200 Speaker 2: It went on so long. 19 00:01:07,440 --> 00:01:09,200 Speaker 3: Not a great feat of ar tree. Really. 20 00:01:09,280 --> 00:01:11,679 Speaker 2: I was supposed to watch some Yawi with a friend 21 00:01:12,120 --> 00:01:14,560 Speaker 2: last night and they came over and I was like, haha, 22 00:01:14,680 --> 00:01:18,440 Speaker 2: I gotcha. Actually I have to watch this this speech first. 23 00:01:18,480 --> 00:01:21,200 Speaker 2: Don't worry. Usually it's only like an hour or so. 24 00:01:22,280 --> 00:01:25,120 Speaker 1: Two I did the exact same two hours later, I 25 00:01:25,200 --> 00:01:28,640 Speaker 1: did the exact same scam to my friend Sarah. She 26 00:01:28,800 --> 00:01:31,520 Speaker 1: was like, you know, I seriously love you, right, because 27 00:01:31,520 --> 00:01:34,120 Speaker 1: this is horrible, horrible. 28 00:01:35,120 --> 00:01:37,120 Speaker 2: Two hours later, it finally ends and they're like, Okay, 29 00:01:37,120 --> 00:01:39,440 Speaker 2: we can finally watch yowie, right, And I'm like, no, no, no, 30 00:01:39,480 --> 00:01:44,880 Speaker 2: I have to watch the Democratic response speech. Don't worry. 31 00:01:44,920 --> 00:01:48,640 Speaker 2: It should be shorter, and thankfully it was. Yeah, but yeah, 32 00:01:48,720 --> 00:01:51,400 Speaker 2: let's let's just start by talking about like the beginning 33 00:01:51,440 --> 00:01:54,840 Speaker 2: of this speech, or rather with the general overview of 34 00:01:54,840 --> 00:01:58,160 Speaker 2: this speech was this was not a leaning across the 35 00:01:58,200 --> 00:02:00,920 Speaker 2: aisle speech, right, This wasn't trying to night the country. 36 00:02:01,520 --> 00:02:04,640 Speaker 1: No, it was not, but you know, just catered to. 37 00:02:04,640 --> 00:02:07,919 Speaker 2: Core like mega supporters and new issues at the center 38 00:02:08,080 --> 00:02:11,320 Speaker 2: of the modern right wing media machine. The version of 39 00:02:11,360 --> 00:02:14,680 Speaker 2: the speech I watched on on ABC frequently cut to 40 00:02:14,880 --> 00:02:18,960 Speaker 2: Matt Walsh and Ben Shapiro sitting together overlooking Congress as 41 00:02:18,960 --> 00:02:21,680 Speaker 2: they were special guests of the President and the First Lady. 42 00:02:21,960 --> 00:02:25,600 Speaker 1: Yes, magic, they did they did this. They did the 43 00:02:25,639 --> 00:02:28,600 Speaker 1: same on CNN. I switched back and forth between a 44 00:02:28,639 --> 00:02:31,560 Speaker 1: couple of channels. I noted this to our team, but 45 00:02:31,680 --> 00:02:34,680 Speaker 1: when I first looked up, like what time the speech 46 00:02:34,760 --> 00:02:37,240 Speaker 1: was starting? I turned on my TV and went to 47 00:02:37,240 --> 00:02:40,520 Speaker 1: see it in and I happened upon the them talking 48 00:02:40,560 --> 00:02:45,800 Speaker 1: about if Dems should not applaud or if they should heckle, 49 00:02:46,280 --> 00:02:49,239 Speaker 1: and some motherfucker I don't care about said that Gems 50 00:02:49,240 --> 00:02:53,120 Speaker 1: should find places to applaud him to show unity. 51 00:02:53,400 --> 00:02:57,040 Speaker 3: Cool. Sure, yeah, mm hmm. That's always worked well. 52 00:02:57,280 --> 00:03:02,960 Speaker 1: Dems should find places to applaud him, to apprawd. 53 00:03:02,600 --> 00:03:06,840 Speaker 2: The king, approd the king for ruining the governments, firing 54 00:03:06,840 --> 00:03:10,200 Speaker 2: all the workers. Give him a clap. Why don't you sorry, James? 55 00:03:10,240 --> 00:03:12,079 Speaker 2: I realized that got a little insensitive. 56 00:03:12,520 --> 00:03:15,760 Speaker 3: Wow, yeah, Garrison, this is why we have to watch 57 00:03:15,760 --> 00:03:19,040 Speaker 3: those videos where the bad actors talk about how they feel. 58 00:03:19,080 --> 00:03:22,080 Speaker 1: Not anymore talking about our workplace harassment videos. 59 00:03:22,120 --> 00:03:25,160 Speaker 2: EEI is over, James. No more of those videos here 60 00:03:25,160 --> 00:03:27,600 Speaker 2: in the free State of Georgia. That's illegal. 61 00:03:27,840 --> 00:03:31,880 Speaker 3: Unfortunately, here in California, I have approximately seventy five little 62 00:03:31,960 --> 00:03:35,200 Speaker 3: little red bells and I log into my work day. 63 00:03:35,280 --> 00:03:38,280 Speaker 2: But like a single time. Early in the speech, Trump 64 00:03:38,400 --> 00:03:43,040 Speaker 2: asked Democrats why not join us in celebrating America? After 65 00:03:43,080 --> 00:03:46,280 Speaker 2: he complained I could cure any disease, and these people 66 00:03:46,360 --> 00:03:50,000 Speaker 2: sitting right here, the Democrats, they would not cheer. I 67 00:03:50,040 --> 00:03:52,119 Speaker 2: could cure any disease and these people wouldn't cheer. 68 00:03:52,640 --> 00:03:55,400 Speaker 1: No, No, that was weird. I mean, like some Dums 69 00:03:55,400 --> 00:03:58,320 Speaker 1: didn't even show up. They had the subcab of wearing 70 00:03:58,400 --> 00:04:01,840 Speaker 1: certain cars. They did the same performative bullshit they always do, 71 00:04:02,080 --> 00:04:04,640 Speaker 1: and they had what I can only describe as like 72 00:04:05,240 --> 00:04:06,720 Speaker 1: church paddles. 73 00:04:06,280 --> 00:04:08,400 Speaker 2: The statist the statistic signs on it. 74 00:04:08,960 --> 00:04:12,240 Speaker 1: They were they weren't even like I mean, like, come on, 75 00:04:13,080 --> 00:04:13,240 Speaker 1: like a. 76 00:04:16,320 --> 00:04:19,400 Speaker 2: Description. But no. Some Dems did not show up in protest. 77 00:04:20,200 --> 00:04:23,320 Speaker 2: Others were black, kind of like in mourning. 78 00:04:23,760 --> 00:04:25,080 Speaker 1: Yeah, who cares. 79 00:04:25,560 --> 00:04:29,000 Speaker 2: Some of the women's caucus were pink, very cool, very feminist, 80 00:04:29,800 --> 00:04:33,039 Speaker 2: and others were the colors of the Ukrainian flag. Sure 81 00:04:33,520 --> 00:04:36,880 Speaker 2: that will help, but you know, Trump just pointed towards 82 00:04:36,960 --> 00:04:39,240 Speaker 2: the Democrats side of the chamber throughout the night and 83 00:04:39,360 --> 00:04:42,200 Speaker 2: just referred to them as the radical left lunatics. Like 84 00:04:42,360 --> 00:04:46,279 Speaker 2: this This was not across the aisle speed, No, it wasn't. 85 00:04:46,440 --> 00:04:50,279 Speaker 2: This was this was, if anything, emphasizing the divisions within 86 00:04:50,320 --> 00:04:50,839 Speaker 2: the country. 87 00:04:50,880 --> 00:04:53,240 Speaker 1: One of the one of the things that happened before 88 00:04:53,320 --> 00:04:57,440 Speaker 1: the speech even started was like he drove in with 89 00:04:57,640 --> 00:04:59,599 Speaker 1: Malania and. 90 00:04:59,800 --> 00:05:02,680 Speaker 2: You first, lady and first bitch boy. 91 00:05:02,760 --> 00:05:07,600 Speaker 3: Yeah weird, yeah, h first buddy, Garrison. First buddy is 92 00:05:08,120 --> 00:05:10,280 Speaker 3: the official term first buddy. 93 00:05:10,480 --> 00:05:14,320 Speaker 1: Yeah, I don't know, but like, you know, Trump starts 94 00:05:14,360 --> 00:05:15,480 Speaker 1: off the speech. 95 00:05:15,279 --> 00:05:17,200 Speaker 2: With America is back. 96 00:05:17,520 --> 00:05:20,360 Speaker 1: And like how far back are we talking? Because you're not. 97 00:05:20,360 --> 00:05:26,120 Speaker 3: Wrong, yeah, like eighteen sixty four. I think it's the 98 00:05:26,440 --> 00:05:26,960 Speaker 3: it's the goal. 99 00:05:27,000 --> 00:05:29,120 Speaker 2: I mean, this is the same phrase that that Biden 100 00:05:29,240 --> 00:05:31,720 Speaker 2: opened his first speech with as well. I think Biden 101 00:05:31,800 --> 00:05:34,960 Speaker 2: was referring to, like we are back to pre Trump America, 102 00:05:35,320 --> 00:05:37,520 Speaker 2: and now Trump is using this phrase to refer to 103 00:05:37,600 --> 00:05:40,920 Speaker 2: like this like mythical America. Right, sure, but no, Trump 104 00:05:40,920 --> 00:05:45,839 Speaker 2: took the stage to us a chance throughout yeah, throughout 105 00:05:45,880 --> 00:05:46,480 Speaker 2: the rotunda. 106 00:05:46,680 --> 00:05:49,120 Speaker 3: That was you know, I grew up watching the Houses 107 00:05:49,160 --> 00:05:53,840 Speaker 3: of Parliament, so I'm used to like the boomers getting unruly, 108 00:05:54,160 --> 00:05:55,440 Speaker 3: but this was something else. 109 00:05:55,839 --> 00:05:58,640 Speaker 1: They're just so fairal it's weird. 110 00:05:58,880 --> 00:06:02,640 Speaker 2: So cheesy. The speech was outlining like a new golden 111 00:06:02,680 --> 00:06:06,039 Speaker 2: age of America and the renewal of the American dream. 112 00:06:06,440 --> 00:06:10,360 Speaker 2: Trump talked about how he has accomplished in forty three 113 00:06:10,440 --> 00:06:13,800 Speaker 2: days more than most administrations do in four to eight years, 114 00:06:14,200 --> 00:06:16,000 Speaker 2: and that we're just getting started. 115 00:06:16,080 --> 00:06:16,359 Speaker 3: Cool. 116 00:06:16,560 --> 00:06:20,080 Speaker 2: He referred to this wide popular mandate a quote, a 117 00:06:20,120 --> 00:06:22,080 Speaker 2: mandate like this has not been seen in many decades, 118 00:06:22,800 --> 00:06:25,680 Speaker 2: referring to like winning all swing states, winning the electoral 119 00:06:25,680 --> 00:06:28,480 Speaker 2: college and the popular vote, and reference to this mandate 120 00:06:28,560 --> 00:06:31,760 Speaker 2: kind of sparked the big boo, big like disruption of the. 121 00:06:31,839 --> 00:06:37,839 Speaker 1: Night, specifically when he started saying we won the popular vote. 122 00:06:37,680 --> 00:06:40,960 Speaker 3: Which like it's heavily disputed, Like I don't. 123 00:06:40,839 --> 00:06:43,720 Speaker 2: Know, I don't think that that's not specifically what mister 124 00:06:43,760 --> 00:06:44,640 Speaker 2: Green was talking about. 125 00:06:44,920 --> 00:06:49,600 Speaker 1: I'm not necessarily talking about. When he specifically was staying together. 126 00:06:49,680 --> 00:06:53,839 Speaker 1: That's when the crowd had their biggest reaction of the night, 127 00:06:53,920 --> 00:06:56,680 Speaker 1: which like weird in my opinion. 128 00:06:56,880 --> 00:06:59,320 Speaker 3: It's great. It's the thing that Democrats are doing now, 129 00:06:59,360 --> 00:07:02,560 Speaker 3: which is try trying to be like the Republicans but 130 00:07:02,760 --> 00:07:06,200 Speaker 3: lib like kind of just I suppose. 131 00:07:06,120 --> 00:07:09,480 Speaker 1: But not really because they didn't follow fucking through. 132 00:07:09,400 --> 00:07:14,280 Speaker 2: Without any like strength, like without any actual like momentum. 133 00:07:13,680 --> 00:07:15,560 Speaker 3: Right like we saw like the sort of blue and 134 00:07:15,600 --> 00:07:18,800 Speaker 3: non attempts at election denial like after the election, and like, 135 00:07:19,000 --> 00:07:21,640 Speaker 3: I don't think that's what they were doing here, agreed, 136 00:07:21,840 --> 00:07:25,440 Speaker 3: They gave off this like yeah, this very ineffectual kind 137 00:07:25,440 --> 00:07:30,320 Speaker 3: of half fast attempt at booing, and then aside from Green, 138 00:07:30,720 --> 00:07:33,240 Speaker 3: they they'll just sit down and wave their ping pong things. 139 00:07:33,400 --> 00:07:37,680 Speaker 2: Yeah, so representative Al Green from Texas old man with caine. 140 00:07:38,120 --> 00:07:40,080 Speaker 3: It's a good cane. It's got a gold handle. 141 00:07:40,240 --> 00:07:42,800 Speaker 1: Like I thought it was snazzy. 142 00:07:43,000 --> 00:07:44,440 Speaker 3: I thought, I mean, it's a sort of cane you 143 00:07:44,440 --> 00:07:46,080 Speaker 3: normally see a sword coming out of if. 144 00:07:45,960 --> 00:07:48,600 Speaker 2: I'm yeah, that would have been cooler. That would have 145 00:07:48,600 --> 00:07:51,400 Speaker 2: been cooler. But instead he doesn't waves the cane around 146 00:07:51,480 --> 00:07:54,240 Speaker 2: talking about how this mandate doesn't mean that there's a 147 00:07:54,280 --> 00:07:58,080 Speaker 2: mandate to like, you know, cut Medicaid, cut medicare. That 148 00:07:58,200 --> 00:08:00,840 Speaker 2: was specifically what he was talking about. Yeah, television mics 149 00:08:00,840 --> 00:08:01,800 Speaker 2: did not really pick that up. 150 00:08:01,960 --> 00:08:04,840 Speaker 3: No, and a lot of reporting didn't either, which was shitty. 151 00:08:04,880 --> 00:08:07,240 Speaker 3: I thought, like, yeah, a lot of reporting just mentioned 152 00:08:07,240 --> 00:08:09,560 Speaker 3: that he had shouted and not what he had shouted about, 153 00:08:09,600 --> 00:08:12,560 Speaker 3: which I think is like, really, when you like, you see, 154 00:08:12,600 --> 00:08:14,840 Speaker 3: what the media is doing is serving as like the 155 00:08:15,080 --> 00:08:17,680 Speaker 3: propagandoram of a certain class of people when they're more 156 00:08:17,760 --> 00:08:21,680 Speaker 3: upset that he was shouting than that he was protesting 157 00:08:22,040 --> 00:08:23,640 Speaker 3: the fact that people are going to lose their healthcare 158 00:08:23,640 --> 00:08:24,760 Speaker 3: and probably die because of it. 159 00:08:25,360 --> 00:08:29,120 Speaker 2: Yeah, and like Trump started like yelling over these protests. 160 00:08:29,240 --> 00:08:31,160 Speaker 2: There was like a brief maybe like like you know, 161 00:08:31,560 --> 00:08:34,640 Speaker 2: minute or so, like yelling match in the chamber. Mike 162 00:08:34,720 --> 00:08:37,880 Speaker 2: Johnson was like, what do I do here? Eventually, you know, 163 00:08:38,200 --> 00:08:42,320 Speaker 2: Mike Johnson threatens mister Green, gives a warning, and eventually 164 00:08:42,360 --> 00:08:45,000 Speaker 2: directs the Sergeant of Arms to restore order and remove 165 00:08:45,040 --> 00:08:49,400 Speaker 2: him from the chambers. Not a regular scene in American politics, 166 00:08:49,559 --> 00:08:51,920 Speaker 2: but a scene that you might be more familiar with 167 00:08:52,400 --> 00:08:58,760 Speaker 2: in overseas politics, and specifically in democracies that are in trouble. 168 00:08:59,480 --> 00:09:01,240 Speaker 2: You'll have more and more scenes like this. 169 00:09:01,600 --> 00:09:04,320 Speaker 3: Yeah, we candn't get any smoke grenades like you see 170 00:09:04,320 --> 00:09:04,920 Speaker 3: in Serbia. 171 00:09:05,000 --> 00:09:07,200 Speaker 2: You know, it's still twenty twenty five, James, we still 172 00:09:07,200 --> 00:09:08,880 Speaker 2: have three more three. 173 00:09:08,720 --> 00:09:11,640 Speaker 3: More years, three more year assumed to break out the 174 00:09:11,679 --> 00:09:12,760 Speaker 3: ass off smoke grenades. 175 00:09:13,200 --> 00:09:16,320 Speaker 2: Whether or not this is like, you know, performative or cringe, 176 00:09:16,800 --> 00:09:19,800 Speaker 2: it's like it's something that demonstrates, hey, like this, this 177 00:09:19,960 --> 00:09:23,120 Speaker 2: actually isn't normal. More than holding up a cheesy sign 178 00:09:23,160 --> 00:09:25,600 Speaker 2: next to Trump reading this is not normal, which is 179 00:09:25,679 --> 00:09:28,760 Speaker 2: some others did in protest. This actually is treating it 180 00:09:28,800 --> 00:09:32,080 Speaker 2: like a serious situation and more Democrats should have done this. 181 00:09:32,360 --> 00:09:35,120 Speaker 2: They should have staggered their protests throughout the entirety of 182 00:09:35,120 --> 00:09:39,720 Speaker 2: the speech, continually disrupting it, making this speech basically unable 183 00:09:39,760 --> 00:09:43,520 Speaker 2: to end. Pushing this past midnight, having an endless procession 184 00:09:44,000 --> 00:09:47,079 Speaker 2: of people having to be escorted out. You should force 185 00:09:47,160 --> 00:09:50,200 Speaker 2: Congress to censure half of the sit in Congress people. Yeah, Like, 186 00:09:50,240 --> 00:09:54,200 Speaker 2: if this really is like an actual existential threat to 187 00:09:54,400 --> 00:09:57,760 Speaker 2: our democracy, If if Trump represents right now a genuine 188 00:09:57,760 --> 00:10:00,880 Speaker 2: constitutional crisis, which he does, he is ignoring the courts, 189 00:10:01,240 --> 00:10:03,280 Speaker 2: the people in Congress should fucking act like it. 190 00:10:04,640 --> 00:10:09,760 Speaker 1: They should have gone literally, single file, one by one. 191 00:10:09,840 --> 00:10:12,600 Speaker 2: Stagger it every like three minutes so that he just 192 00:10:12,800 --> 00:10:15,880 Speaker 2: is unable to finish the speech. Like have have Mike 193 00:10:15,920 --> 00:10:17,600 Speaker 2: Johnson do this every time. 194 00:10:17,400 --> 00:10:18,520 Speaker 1: Because he was thrown. 195 00:10:18,600 --> 00:10:21,599 Speaker 2: Yeah, he was thrown, and they should have continued to 196 00:10:21,640 --> 00:10:23,800 Speaker 2: do this. The fact that no one else did is 197 00:10:23,920 --> 00:10:24,880 Speaker 2: pretty disappointing. 198 00:10:25,000 --> 00:10:28,080 Speaker 3: You could see Vance was very uncomfortable as well, Like. 199 00:10:28,400 --> 00:10:30,880 Speaker 2: He didn have that nervous smile for most of he. 200 00:10:31,360 --> 00:10:34,000 Speaker 3: Does when he's confronted with it human being that. 201 00:10:34,760 --> 00:10:37,480 Speaker 2: Later on the speech, after Trump talked about you know, 202 00:10:37,559 --> 00:10:40,480 Speaker 2: trans women in sports and the price of eggs, had 203 00:10:40,559 --> 00:10:44,680 Speaker 2: you had a group of Democrats wearing resist T shirts 204 00:10:45,080 --> 00:10:47,800 Speaker 2: walk out of the speech in protest, and like, that's 205 00:10:47,840 --> 00:10:50,720 Speaker 2: so much more pathetic than actually like standing up and 206 00:10:50,760 --> 00:10:53,800 Speaker 2: talking about how this guy is ignoring the courts and 207 00:10:53,880 --> 00:10:56,600 Speaker 2: is actually breaking the constitution. Like that's what they should 208 00:10:56,600 --> 00:10:59,920 Speaker 2: have all been doing instead of wearing resist slim merch Performatively. 209 00:11:00,960 --> 00:11:04,760 Speaker 3: Yeah, you could write an onion to go parodying this, 210 00:11:04,960 --> 00:11:07,480 Speaker 3: but you actually couldn't because they would just do that 211 00:11:07,559 --> 00:11:10,560 Speaker 3: next time, Like if they really think this is the last, 212 00:11:11,080 --> 00:11:12,960 Speaker 3: the last joint session of Congress the ever going to have. 213 00:11:12,960 --> 00:11:14,439 Speaker 3: They sure didn't act like it or whatever. 214 00:11:15,120 --> 00:11:17,559 Speaker 2: But this is going to be the first ad break 215 00:11:17,559 --> 00:11:21,400 Speaker 2: in a series of two mid episode ad breaks that 216 00:11:21,480 --> 00:11:30,559 Speaker 2: we are playing on this show. So here's the ads. 217 00:11:34,320 --> 00:11:36,440 Speaker 2: All right, we are back. I hope you pick up 218 00:11:36,440 --> 00:11:39,760 Speaker 2: your new ad break themed T shirts to walk around 219 00:11:39,840 --> 00:11:41,319 Speaker 2: in protest of capitalism. 220 00:11:41,400 --> 00:11:42,800 Speaker 3: Yep, not made by unions. 221 00:11:43,920 --> 00:11:49,319 Speaker 2: All right, let's talk about transgenderism. One of the first 222 00:11:49,320 --> 00:11:52,800 Speaker 2: topics Trump had discussed at length was the anti trans 223 00:11:52,880 --> 00:11:57,200 Speaker 2: culture war, declaring that the government will be woke no longer. 224 00:11:57,520 --> 00:12:00,280 Speaker 3: Oh God, that fully fucking sent me. I'd forgotten about that. 225 00:12:01,000 --> 00:12:03,840 Speaker 3: It's just so asinatin like drunk old man at pub. 226 00:12:04,160 --> 00:12:07,840 Speaker 2: He bragged about about signing an executive order establishing that 227 00:12:07,840 --> 00:12:11,000 Speaker 2: there's only two genders, as well as an order preventing 228 00:12:11,040 --> 00:12:15,560 Speaker 2: quote unquote men from playing in women's sports. He first 229 00:12:15,760 --> 00:12:18,839 Speaker 2: pointed out to someone in the audience who was a 230 00:12:18,880 --> 00:12:24,040 Speaker 2: former volleyball player who got hurt by a volleyball and 231 00:12:24,080 --> 00:12:28,040 Speaker 2: then decided to quit the sport. And they now blame 232 00:12:28,120 --> 00:12:31,520 Speaker 2: this on the fact that a trans woman was allegedly 233 00:12:31,559 --> 00:12:37,120 Speaker 2: responsible for probably spiking the volleyball, which yes, is painful. 234 00:12:37,400 --> 00:12:40,520 Speaker 1: For playing sport the way that everyone else plays sport. 235 00:12:41,080 --> 00:12:44,280 Speaker 2: Yeah, for trying to win, yeah, in a team of 236 00:12:44,360 --> 00:12:47,760 Speaker 2: volleyball context. So yes, this was the first kind of 237 00:12:47,760 --> 00:12:50,920 Speaker 2: of these political props that Trump brought along to kind 238 00:12:50,920 --> 00:12:53,680 Speaker 2: of point out and demonstrate some of the things that 239 00:12:53,679 --> 00:12:56,880 Speaker 2: he was talking about. Frankly, it just seems like this 240 00:12:56,920 --> 00:13:00,120 Speaker 2: person was not a very good volleyball player. But the 241 00:13:00,120 --> 00:13:03,679 Speaker 2: the next example Trump pointed two I think James can 242 00:13:03,720 --> 00:13:06,640 Speaker 2: speak better on but Trump said that essentially there was 243 00:13:06,640 --> 00:13:08,600 Speaker 2: a quoe unquote, a man who beat a woman in 244 00:13:08,640 --> 00:13:12,679 Speaker 2: a race by five hours, to the shock of the audience. 245 00:13:13,080 --> 00:13:15,520 Speaker 3: Yeah, So look, it was shocked listeners to hear that 246 00:13:15,559 --> 00:13:18,000 Speaker 3: most of what he said is wrong. He directly referenced 247 00:13:18,040 --> 00:13:20,600 Speaker 3: a friend of mine. He was referring to Austin Killips, 248 00:13:20,640 --> 00:13:23,280 Speaker 3: who is a woman. She's a trans woman. She's a 249 00:13:23,360 --> 00:13:25,480 Speaker 3: very good cyclist. The reason she was doing the race, 250 00:13:25,480 --> 00:13:27,839 Speaker 3: which is the Arizona Trail Race, it's an eight hundred 251 00:13:27,880 --> 00:13:29,959 Speaker 3: mile ultra endurance race like I used to do these 252 00:13:30,040 --> 00:13:32,199 Speaker 3: kind of things. The reason she was doing it is 253 00:13:32,240 --> 00:13:36,000 Speaker 3: because of a UCI Union Cycles Internationale that governing bodies 254 00:13:36,040 --> 00:13:38,600 Speaker 3: stopped trans women competing, right, so she did these races 255 00:13:38,600 --> 00:13:42,640 Speaker 3: which were not sanctioned by them. She did get the record. 256 00:13:42,880 --> 00:13:45,480 Speaker 3: The previous holder of the record was a CIS man. 257 00:13:46,640 --> 00:13:49,880 Speaker 3: That CIS man had previously beaten. A CIS woman got 258 00:13:50,000 --> 00:13:53,559 Speaker 3: Leo Wilcox. It's interesting that in this particular discipline, actually 259 00:13:53,679 --> 00:13:56,960 Speaker 3: like SIS, women have been doing as well as it's 260 00:13:56,960 --> 00:14:00,559 Speaker 3: not better than men like leoel Wilcox owned nearly all 261 00:14:00,600 --> 00:14:02,719 Speaker 3: the long distance records in the United States. She's a 262 00:14:02,720 --> 00:14:05,680 Speaker 3: phenomenal athlete. And the idea that there's some inherent biological 263 00:14:05,679 --> 00:14:10,079 Speaker 3: advantages it's particularly nonsense in this sphere of cycling. But 264 00:14:10,120 --> 00:14:12,040 Speaker 3: the reason that she was five hours ahead is because 265 00:14:12,040 --> 00:14:15,400 Speaker 3: this race is eight hundred miles long. Like, those records 266 00:14:15,400 --> 00:14:17,920 Speaker 3: are broken by that kind of period. Not all the time, 267 00:14:17,960 --> 00:14:21,120 Speaker 3: but when you have athletes like Austin coming from the 268 00:14:21,240 --> 00:14:24,200 Speaker 3: higher paying areas of the sport into this which has 269 00:14:24,240 --> 00:14:26,760 Speaker 3: been a much less well paid and much smaller area 270 00:14:26,760 --> 00:14:29,120 Speaker 3: of the sport, you're going to see these records getting broken. 271 00:14:29,240 --> 00:14:32,040 Speaker 3: And again she broke a record that was held by Assis. 272 00:14:32,120 --> 00:14:33,160 Speaker 1: Dude, crazy. 273 00:14:33,240 --> 00:14:35,120 Speaker 3: Yeah, it's fucking ridiculous. 274 00:14:35,560 --> 00:14:39,120 Speaker 1: I mean, like the level of like propaganda and lie. 275 00:14:39,520 --> 00:14:42,040 Speaker 1: I mean, my mom watched the speech and she was like, 276 00:14:42,560 --> 00:14:45,840 Speaker 1: that doesn't seem possible. And I was like, because it's 277 00:14:46,040 --> 00:14:47,400 Speaker 1: all bullshit. 278 00:14:47,760 --> 00:14:50,600 Speaker 3: Yeah, it is the second time he's picked on Austin 279 00:14:50,680 --> 00:14:53,040 Speaker 3: and obviously it pisss me off. You could read her 280 00:14:53,080 --> 00:14:54,800 Speaker 3: op ed in The Guardian where she wrote about this 281 00:14:54,840 --> 00:14:56,800 Speaker 3: the last time he cited her in his executive order, 282 00:14:56,840 --> 00:14:59,120 Speaker 3: and I would encourage you to So. 283 00:14:59,360 --> 00:15:04,080 Speaker 2: After this initial dive into the trans topic, Trump followed 284 00:15:04,160 --> 00:15:06,480 Speaker 2: up by talking about how egg prices are out of 285 00:15:06,520 --> 00:15:10,720 Speaker 2: control take a shot, which happened about fifteen minutes into 286 00:15:10,720 --> 00:15:13,520 Speaker 2: the speech. But near the end of the speech, Trump 287 00:15:13,600 --> 00:15:17,760 Speaker 2: returned to the trends topic, pointing to the anti trans 288 00:15:17,880 --> 00:15:23,240 Speaker 2: activist mom named January Little jod no comment whose kid 289 00:15:23,480 --> 00:15:27,920 Speaker 2: secretly used they them pronouns at school, with Trump discussing 290 00:15:27,960 --> 00:15:31,480 Speaker 2: how wrong it is for schools to secretly transition students 291 00:15:31,760 --> 00:15:35,320 Speaker 2: and like this actually just isn't true. Surprise, surprise. The 292 00:15:35,400 --> 00:15:37,600 Speaker 2: parents in this case knew that their kid wanted to 293 00:15:37,680 --> 00:15:39,880 Speaker 2: use a different name in pronouns at school and actually 294 00:15:39,920 --> 00:15:43,080 Speaker 2: were the ones to inform the school of this, according 295 00:15:43,120 --> 00:15:47,280 Speaker 2: to school emails obtained by CNN. Not that this matters. 296 00:15:47,320 --> 00:15:49,800 Speaker 2: And I will say during this clip, when the camera 297 00:15:49,880 --> 00:15:52,720 Speaker 2: cuts towards his mom, like all of the people that 298 00:15:52,760 --> 00:15:55,280 Speaker 2: were used as political props that were cut to, they 299 00:15:55,320 --> 00:15:57,640 Speaker 2: all had the most bizarre look on their face, like 300 00:15:57,760 --> 00:16:00,640 Speaker 2: completely blank, like soulis not even like it really excited 301 00:16:01,040 --> 00:16:03,400 Speaker 2: this this woman who's you know, kind of a one 302 00:16:03,400 --> 00:16:05,640 Speaker 2: of also the faces of like Florida's don't say gay 303 00:16:05,680 --> 00:16:09,240 Speaker 2: Bill just yeah, completely like blank expression because this thing 304 00:16:09,480 --> 00:16:11,800 Speaker 2: that the President's talking about is just a flat out lie. 305 00:16:11,800 --> 00:16:14,480 Speaker 2: And like you know it, you lost a federal lawsuit 306 00:16:14,640 --> 00:16:17,880 Speaker 2: over this lie. But here you are on national TV now, 307 00:16:18,080 --> 00:16:19,720 Speaker 2: the prop of the president. 308 00:16:19,520 --> 00:16:22,560 Speaker 3: Yeah, on national TV, in front of both hands of Congress, 309 00:16:22,680 --> 00:16:25,720 Speaker 3: attacking your own kid, yep for trying to be who 310 00:16:25,760 --> 00:16:27,440 Speaker 3: they want to be, a subject on which you lost 311 00:16:27,440 --> 00:16:28,520 Speaker 3: a lawsuit. 312 00:16:28,280 --> 00:16:31,960 Speaker 2: Like and then Trump directly asked Congress to pass a 313 00:16:32,000 --> 00:16:36,200 Speaker 2: bill banning trans health care for children, saying wokeness is gone, 314 00:16:36,360 --> 00:16:39,480 Speaker 2: our country will be woke no longer whatever. 315 00:16:40,240 --> 00:16:41,000 Speaker 1: Such a loser. 316 00:16:41,800 --> 00:16:47,040 Speaker 2: The next topic was Elon Musk's doge, as Trump essentially 317 00:16:47,120 --> 00:16:51,000 Speaker 2: just read out a list that mischaracterized aid programs or 318 00:16:51,040 --> 00:16:54,200 Speaker 2: scientific research grants, talking about how Health and Human Services 319 00:16:54,360 --> 00:16:58,120 Speaker 2: paid for housing for displaced immigrants in the United States, 320 00:16:58,720 --> 00:17:03,800 Speaker 2: money for Middle East, Sesame Street for making mice transgender, 321 00:17:04,240 --> 00:17:11,000 Speaker 2: and LGBTQ education in Africa, as well as DEI in Burma, 322 00:17:11,600 --> 00:17:14,680 Speaker 2: which I will now pivot to James again to fill 323 00:17:14,760 --> 00:17:15,840 Speaker 2: in some contexts here. 324 00:17:16,400 --> 00:17:16,680 Speaker 1: Yeah. 325 00:17:17,200 --> 00:17:19,480 Speaker 3: So I'm aware of this scholarship because I'm aware of 326 00:17:19,560 --> 00:17:22,160 Speaker 3: the people within the Symbol Disobedience movement who are talking 327 00:17:22,200 --> 00:17:24,159 Speaker 3: to the State Department about it, and they begged for 328 00:17:24,200 --> 00:17:26,840 Speaker 3: it not to be a DEI thing because they could 329 00:17:26,840 --> 00:17:30,240 Speaker 3: see this happening. Right, It's the Lincoln Scholarship program our 330 00:17:30,240 --> 00:17:32,400 Speaker 3: linked to it in the show notes, but it exists 331 00:17:32,480 --> 00:17:35,760 Speaker 3: to empower people in Burma write with technical skills and 332 00:17:35,960 --> 00:17:39,679 Speaker 3: to rise up young leaders in Burma. And it's not 333 00:17:39,720 --> 00:17:43,960 Speaker 3: a DEI program, but for some reason it was categorized 334 00:17:43,960 --> 00:17:44,400 Speaker 3: as such. 335 00:17:44,520 --> 00:17:44,680 Speaker 1: Right. 336 00:17:44,880 --> 00:17:48,600 Speaker 3: It talks about respecting diversity because, as long term listeners 337 00:17:48,640 --> 00:17:52,280 Speaker 3: will know, Memmar is an extremely diverse country, right, with 338 00:17:52,400 --> 00:17:55,760 Speaker 3: more than fifty ethnic groups and hundreds of languages spoken. 339 00:17:56,000 --> 00:17:59,840 Speaker 3: So like, that's why it talks about respecting diversity. This 340 00:18:00,200 --> 00:18:03,680 Speaker 3: is one of the few things the United States has 341 00:18:03,720 --> 00:18:07,240 Speaker 3: done for the people of Myanmar, after pumping up their economy, 342 00:18:07,280 --> 00:18:10,639 Speaker 3: pumping up real estate and then doing nothing when the 343 00:18:10,680 --> 00:18:14,199 Speaker 3: military seized power there and started to brutally repress the people. 344 00:18:14,359 --> 00:18:16,760 Speaker 3: And the US is also I should add, at this 345 00:18:16,760 --> 00:18:19,720 Speaker 3: point holding a billion dollars of the Burmese people's money 346 00:18:19,760 --> 00:18:22,560 Speaker 3: that it froze when the coup happened. And if it 347 00:18:22,560 --> 00:18:24,680 Speaker 3: doesn't want to give them these scholarships, could give them 348 00:18:24,720 --> 00:18:27,919 Speaker 3: back their money, but I'm sure it won't. I know 349 00:18:27,960 --> 00:18:30,119 Speaker 3: this one pisss me off in particular because obviously I'm 350 00:18:30,200 --> 00:18:32,520 Speaker 3: very invested in the cause of the people of Mema 351 00:18:32,640 --> 00:18:33,520 Speaker 3: and they are my friends. 352 00:18:34,160 --> 00:18:36,800 Speaker 2: Yeah, And this is very emblematic of the way Trumpet 353 00:18:36,840 --> 00:18:39,720 Speaker 2: Elon talked about a bunch of these aid programs. How 354 00:18:39,760 --> 00:18:44,320 Speaker 2: like you know, HIV prevention programs will be LGBTQ you 355 00:18:44,520 --> 00:18:47,800 Speaker 2: said money, right, Like they find a way to mischaracterize 356 00:18:47,840 --> 00:18:50,480 Speaker 2: it in the most like culture war way. 357 00:18:50,680 --> 00:18:53,600 Speaker 3: Yeah, talking about public health programs of circumcisions. 358 00:18:53,680 --> 00:18:55,959 Speaker 2: Right, yeah, exactly right. They'll try to find every single 359 00:18:56,000 --> 00:18:58,800 Speaker 2: like health or education program and turn it into some 360 00:18:58,920 --> 00:19:02,520 Speaker 2: like LGBTQ to ei culture or issue. Trump claimed on 361 00:19:02,560 --> 00:19:07,600 Speaker 2: stage that they've found hundreds of billions of dollars of fraud. Now, 362 00:19:07,800 --> 00:19:10,959 Speaker 2: the doge website previously listed one hundred and five billion 363 00:19:11,000 --> 00:19:14,520 Speaker 2: dollars in like found savings, but this very week, the 364 00:19:14,520 --> 00:19:17,960 Speaker 2: website scrubbed the five of the highest dollar value receives 365 00:19:18,400 --> 00:19:23,280 Speaker 2: after journalists found massive errors in Elon's estimated count, and 366 00:19:23,320 --> 00:19:27,040 Speaker 2: now it's while of receipts totals around eight billion, though 367 00:19:27,119 --> 00:19:30,600 Speaker 2: that might also be an overestimate according to some journalists. 368 00:19:30,760 --> 00:19:31,200 Speaker 3: Amazing. 369 00:19:31,280 --> 00:19:34,520 Speaker 2: Trump also talked about alleged social Security fraud, claiming that 370 00:19:34,600 --> 00:19:37,600 Speaker 2: millions and millions of dead people are getting Social Security. 371 00:19:38,280 --> 00:19:39,440 Speaker 2: Like this just isn't true. 372 00:19:39,560 --> 00:19:41,320 Speaker 1: The math is not mathing. 373 00:19:41,800 --> 00:19:43,520 Speaker 3: Yeah, this has been their thing for a while, right, 374 00:19:43,560 --> 00:19:46,359 Speaker 3: Dead people are voting. Dead people are getting Social Security. 375 00:19:46,720 --> 00:19:50,880 Speaker 2: Yeah, Trump's own Social Security administrator has like said as much. 376 00:19:51,280 --> 00:19:53,960 Speaker 2: The super old people in the database simply don't have 377 00:19:54,040 --> 00:19:57,440 Speaker 2: death details logged, but they are not receiving payments. There 378 00:19:57,520 --> 00:20:00,760 Speaker 2: is improper payments in the Social Security system, usually around 379 00:20:00,760 --> 00:20:04,160 Speaker 2: one percent. Mostly that's over payments or entertainments to people 380 00:20:04,200 --> 00:20:06,520 Speaker 2: who are actually alive, and there is a system for 381 00:20:06,680 --> 00:20:10,560 Speaker 2: resolving those already in place, because Social Security is a 382 00:20:10,600 --> 00:20:13,000 Speaker 2: pretty old system that we've had for quite a while. 383 00:20:13,640 --> 00:20:15,960 Speaker 2: And like, I don't know, like Trump's skirted by a 384 00:20:16,000 --> 00:20:18,800 Speaker 2: lot of economy issues, and the way he did so 385 00:20:19,000 --> 00:20:22,119 Speaker 2: was just by repeatedly claiming that doge and like, cutting 386 00:20:22,200 --> 00:20:25,200 Speaker 2: this fraud will magically fix the economy, right, Like, this 387 00:20:25,240 --> 00:20:28,119 Speaker 2: is how he wants to frame this. Eggs are too 388 00:20:28,160 --> 00:20:30,560 Speaker 2: much money, all of these things, and he has no 389 00:20:30,600 --> 00:20:32,920 Speaker 2: actual solution to it. So instead, we're going to fix 390 00:20:32,920 --> 00:20:36,000 Speaker 2: the economy through Doge, through finding all this fraud. Somehow 391 00:20:36,000 --> 00:20:39,840 Speaker 2: we will locate this like pot of gold hidden somewhere 392 00:20:40,400 --> 00:20:43,199 Speaker 2: that will magically make our economy better. And this is 393 00:20:43,200 --> 00:20:45,679 Speaker 2: his solution because he doesn't have any real solution. 394 00:20:46,080 --> 00:20:48,560 Speaker 3: Yeah, I should have pointed out that Lincoln Scholarships were 395 00:20:48,560 --> 00:20:50,840 Speaker 3: in fact a Trump They started in twenty nineteen, this 396 00:20:50,960 --> 00:20:52,280 Speaker 3: round of them, so like. 397 00:20:52,280 --> 00:20:54,199 Speaker 2: Good job cutting your own fraud. Donald. 398 00:20:54,560 --> 00:20:57,640 Speaker 3: Do you know what else started in the first Trump era? 399 00:20:57,880 --> 00:21:03,400 Speaker 3: Garrison advertising advertisements was I believe Trump's first executive order. 400 00:21:03,440 --> 00:21:08,040 Speaker 3: He established the podcasting advertising industry, which you know supports 401 00:21:08,119 --> 00:21:10,320 Speaker 3: us to this day today. Is the backbone of the 402 00:21:10,320 --> 00:21:11,360 Speaker 3: American economy. Yeah. 403 00:21:11,400 --> 00:21:14,320 Speaker 2: I mean that's actually unfortunately more true than it should be. 404 00:21:14,480 --> 00:21:17,640 Speaker 3: You know, if anyone wants to buy any colloidal silva. 405 00:21:17,800 --> 00:21:19,360 Speaker 1: No, no, no. 406 00:21:29,280 --> 00:21:32,280 Speaker 2: Okay, we are back on top of trains issues. The other, 407 00:21:32,840 --> 00:21:35,840 Speaker 2: I would say most cited element in this speech was 408 00:21:35,920 --> 00:21:39,280 Speaker 2: the border. Trump referenced to the Lake and Riley Act, 409 00:21:39,280 --> 00:21:43,560 Speaker 2: which requires DHS to detain illegal immigrants who've admitted to 410 00:21:43,920 --> 00:21:47,320 Speaker 2: were charged with or convicted of theft related crimes or 411 00:21:47,560 --> 00:21:49,880 Speaker 2: any crime related to serious bodily injury. 412 00:21:50,320 --> 00:21:53,679 Speaker 3: They're not necessarily illegal. They could just be undocumented people. 413 00:21:53,800 --> 00:21:55,240 Speaker 3: They could be asylum seekers. 414 00:21:55,280 --> 00:21:57,920 Speaker 2: Correct, correct, Yes, that is a good point. 415 00:21:58,080 --> 00:22:01,320 Speaker 1: I just want to note it was in the amount 416 00:22:01,400 --> 00:22:05,679 Speaker 1: of sad looking children and or family members that he 417 00:22:05,760 --> 00:22:07,720 Speaker 1: had as his propaganda prop people. 418 00:22:07,840 --> 00:22:09,600 Speaker 2: He had a lot of props for this speech. 419 00:22:10,160 --> 00:22:12,920 Speaker 1: A lot of props for his speech. I had fred 420 00:22:12,920 --> 00:22:15,280 Speaker 1: watch with me, and she just kept going, how did 421 00:22:15,320 --> 00:22:17,320 Speaker 1: he find like these people? 422 00:22:17,640 --> 00:22:21,119 Speaker 2: These people have been figures of his campaign for years. 423 00:22:21,240 --> 00:22:24,679 Speaker 1: Yeah, I explain that. I explained that. Yeah, He's brought 424 00:22:24,720 --> 00:22:29,120 Speaker 1: these same individuals out, as Garrett mentioned over and over 425 00:22:29,160 --> 00:22:31,240 Speaker 1: and over again, and used. 426 00:22:31,040 --> 00:22:33,919 Speaker 2: Same thing with Fox News with one American News, like 427 00:22:34,119 --> 00:22:36,719 Speaker 2: their entire life revolves around being political props. 428 00:22:36,960 --> 00:22:40,480 Speaker 3: It's an industry, right, there was nothing new here. 429 00:22:41,240 --> 00:22:44,240 Speaker 2: Trump signed an executive order on stage to rename a 430 00:22:44,240 --> 00:22:49,520 Speaker 2: wildlife preserve. In this like anti immigrant propaganda move, he 431 00:22:49,600 --> 00:22:52,760 Speaker 2: called for mandatory death penalty for anyone who kills the 432 00:22:52,800 --> 00:22:55,360 Speaker 2: police officer and asked Congress to sign that into law, 433 00:22:55,600 --> 00:22:59,639 Speaker 2: which is mostly like an anti immigrant dog whistle, essentially 434 00:22:59,800 --> 00:23:02,880 Speaker 2: trying to find a way to kill immigrants who are 435 00:23:02,880 --> 00:23:05,160 Speaker 2: like charged with the death of a police officer. 436 00:23:05,560 --> 00:23:08,240 Speaker 3: Yeah, they've proposed the same thing for people smuggling drugs 437 00:23:08,240 --> 00:23:10,600 Speaker 3: in the United States, like effectively charging them as if 438 00:23:10,600 --> 00:23:12,320 Speaker 3: they were going to give all the drugs to one 439 00:23:12,320 --> 00:23:15,280 Speaker 3: person to murder them and therefore giving them the death penalty. 440 00:23:15,840 --> 00:23:18,359 Speaker 2: Now that he wants to label all these people terrorists 441 00:23:18,440 --> 00:23:20,520 Speaker 2: or you know, has labeled these groups terrorists, it gives 442 00:23:20,560 --> 00:23:22,919 Speaker 2: the like the government a lot more leeway to do 443 00:23:22,960 --> 00:23:23,520 Speaker 2: stuff like that. 444 00:23:23,640 --> 00:23:26,639 Speaker 3: Yeah, I mean proving membership of those groups would be 445 00:23:26,680 --> 00:23:26,919 Speaker 3: a chat. 446 00:23:27,119 --> 00:23:27,280 Speaker 1: Sure. 447 00:23:27,440 --> 00:23:29,760 Speaker 2: I mean, so is proving membership to Antifa? 448 00:23:30,080 --> 00:23:32,359 Speaker 3: Yes, exactly. Yeah, we haven't seen how they're gon. Well, 449 00:23:32,600 --> 00:23:34,159 Speaker 3: we've somewhat seen how they're going to try in the 450 00:23:34,480 --> 00:23:38,000 Speaker 3: latter case, but none in the former. I guess we'll see, 451 00:23:38,080 --> 00:23:39,840 Speaker 3: I'm sure at some point in the next year or two. 452 00:23:39,880 --> 00:23:42,520 Speaker 2: But like Trump said that, like previously America has quote 453 00:23:42,560 --> 00:23:47,040 Speaker 2: unquote buckled under migrant occupation, but now we are achieving 454 00:23:47,320 --> 00:23:50,840 Speaker 2: the great liberation of America. That's the sort of language 455 00:23:50,840 --> 00:23:52,040 Speaker 2: he was using for this section. 456 00:23:52,280 --> 00:23:55,840 Speaker 3: And he said how they rule from mental asylums and prisons. 457 00:23:55,760 --> 00:23:58,800 Speaker 2: Very standard campaign rhetoric that he's used for years now. 458 00:23:59,200 --> 00:24:01,040 Speaker 3: If you're in you to this podcast, you can go back. 459 00:24:01,040 --> 00:24:03,399 Speaker 3: You can search to word Hacumba or border, and you 460 00:24:03,400 --> 00:24:06,119 Speaker 3: can listen to interviews with probably hundreds of migrants. You 461 00:24:06,160 --> 00:24:08,680 Speaker 3: can listen to my title forty two series, you can 462 00:24:08,720 --> 00:24:11,000 Speaker 3: listen to my Darien series, and you can joy for 463 00:24:11,040 --> 00:24:14,800 Speaker 3: yourself if these people are criminal, were bad, or mentally unwell. 464 00:24:15,560 --> 00:24:18,320 Speaker 2: The economy had a very minimal focus compared to border 465 00:24:18,400 --> 00:24:21,720 Speaker 2: or trains issues. He really skirted over the tariffs thing 466 00:24:21,760 --> 00:24:26,320 Speaker 2: as fast as possible, briefly talked about the federal funding freeze, 467 00:24:26,800 --> 00:24:29,719 Speaker 2: bragged about terminating the green new scam something that has 468 00:24:29,960 --> 00:24:33,600 Speaker 2: never existed. Yeah, talking about withdrawing from the Preparius Climate 469 00:24:33,600 --> 00:24:37,280 Speaker 2: Accords again as well as the corrupt World Health Organization 470 00:24:37,840 --> 00:24:42,720 Speaker 2: and the anti American un War Crime Council. Very cool. 471 00:24:44,800 --> 00:24:47,960 Speaker 2: Bragged about ending climate restrictions you know, drill, baby, drill, 472 00:24:48,280 --> 00:24:52,000 Speaker 2: going after rare earth minerals, talked about no tax on 473 00:24:52,119 --> 00:24:56,800 Speaker 2: tips over time and benefits for seniors, and then briefly 474 00:24:56,840 --> 00:25:02,360 Speaker 2: discussed that on April second, you be enacting reciprocal tariffs 475 00:25:02,400 --> 00:25:05,119 Speaker 2: just completely across the board for all nations. And he 476 00:25:05,160 --> 00:25:09,240 Speaker 2: did warn farmers there is going to be an adjustment period. Quote, 477 00:25:09,640 --> 00:25:13,400 Speaker 2: there will be a little disturbance unquote certainly. 478 00:25:13,440 --> 00:25:15,359 Speaker 3: When you adjust to not having a job that pays 479 00:25:15,400 --> 00:25:16,720 Speaker 3: you any money anymore. 480 00:25:16,359 --> 00:25:19,879 Speaker 2: Crashing the economy will have a bit of an adjustment period. 481 00:25:20,160 --> 00:25:22,159 Speaker 2: It will be a bit of a little disturbance. 482 00:25:22,359 --> 00:25:22,560 Speaker 3: Yeah. 483 00:25:22,600 --> 00:25:26,040 Speaker 1: I mean, just like he just kept going through these 484 00:25:27,000 --> 00:25:34,479 Speaker 1: obvious ridiculous claims and making Trump side comment stupidity, like 485 00:25:34,560 --> 00:25:39,400 Speaker 1: calling the Middle East a bad neighborhood. 486 00:25:39,000 --> 00:25:40,600 Speaker 2: And s'same street joke. 487 00:25:40,880 --> 00:25:46,240 Speaker 1: Yeah, it's just incredible, And James, our colleague Molly Conger 488 00:25:46,320 --> 00:25:47,200 Speaker 1: had a good point. 489 00:25:47,440 --> 00:25:50,320 Speaker 3: She did, Yeah, of her many good points. Trump said 490 00:25:50,320 --> 00:25:52,960 Speaker 3: that people had never heard of Lesotho, at the same 491 00:25:52,960 --> 00:25:55,720 Speaker 3: time pronouncing it in a way that one would only 492 00:25:55,760 --> 00:25:57,920 Speaker 3: know if one had heard it pronounced rather than seen 493 00:25:57,960 --> 00:26:00,640 Speaker 3: it written on the page. Very very funny, South Own. 494 00:26:01,000 --> 00:26:04,159 Speaker 3: He also said something about Liberia like implying like I 495 00:26:04,200 --> 00:26:06,880 Speaker 3: would encourage people to understand the history of Liberia. They 496 00:26:06,880 --> 00:26:09,400 Speaker 3: think the US does an Liberia a thing or two. 497 00:26:10,359 --> 00:26:13,720 Speaker 2: One of the last focuses of the speech was national security, 498 00:26:13,960 --> 00:26:19,800 Speaker 2: promising a Golden Dome missile defense system, which Trump has 499 00:26:19,800 --> 00:26:23,840 Speaker 2: previously talked about at previous twenty twenty four campaign events. 500 00:26:23,880 --> 00:26:26,840 Speaker 1: Obsessed with gold, Obsessed with gold. 501 00:26:26,880 --> 00:26:35,200 Speaker 3: Chess with dome, Garrison didn't even crack for those listening 502 00:26:35,600 --> 00:26:39,440 Speaker 3: once again, got him now once again. 503 00:26:39,480 --> 00:26:43,560 Speaker 2: He announced that his administration will be reclaiming the Panama Canal, Yeah, 504 00:26:43,680 --> 00:26:46,800 Speaker 2: saying we have Mark Rubio in charge. Good luck Marco. 505 00:26:47,119 --> 00:26:50,080 Speaker 2: If something goes wrong, we know who to play, right. 506 00:26:51,560 --> 00:26:52,040 Speaker 3: Amazing. 507 00:26:52,600 --> 00:26:56,760 Speaker 2: His comments on Greenland were specifically odd, saying Greenland We 508 00:26:56,880 --> 00:27:00,600 Speaker 2: strongly support your right to determine your own future, and 509 00:27:00,840 --> 00:27:03,760 Speaker 2: if you choose, we welcome you into the United States 510 00:27:03,800 --> 00:27:08,200 Speaker 2: of America. But the full quote about Greenland was very odd. 511 00:27:08,560 --> 00:27:11,719 Speaker 2: He said, quote, we need Greenland for national security and 512 00:27:11,920 --> 00:27:17,359 Speaker 2: even international security. So weird, and we're working with everybody 513 00:27:17,400 --> 00:27:20,159 Speaker 2: involved to try to get it, but we need it 514 00:27:20,200 --> 00:27:23,840 Speaker 2: really for international for world security, and I think we're 515 00:27:23,840 --> 00:27:27,240 Speaker 2: gonna get it. One way or another, We're gonna get it. 516 00:27:27,240 --> 00:27:30,880 Speaker 2: It's a very small population, but a very very large 517 00:27:30,920 --> 00:27:36,000 Speaker 2: piece of land and very very important for military security. 518 00:27:36,280 --> 00:27:40,800 Speaker 2: Unquote okay, yeah, very odd, very odd comments. 519 00:27:40,520 --> 00:27:41,840 Speaker 3: Whole collection of English language. 520 00:27:41,880 --> 00:27:44,520 Speaker 2: Would he is He is continuing to say that one 521 00:27:44,520 --> 00:27:47,639 Speaker 2: way or another, he will take Greenland. I think his 522 00:27:47,720 --> 00:27:51,439 Speaker 2: focus on it for national security is particularly interesting. I 523 00:27:51,440 --> 00:27:53,480 Speaker 2: think this has something to do with trying to make 524 00:27:53,720 --> 00:27:57,400 Speaker 2: the US and Russia these like two massive world powers 525 00:27:57,640 --> 00:28:01,119 Speaker 2: that both have like you know, Arctic land at their disposal, 526 00:28:01,560 --> 00:28:04,680 Speaker 2: considering climate change or you know, a variety of issues. 527 00:28:04,960 --> 00:28:07,960 Speaker 2: But I think that this does move towards this like 528 00:28:08,160 --> 00:28:12,080 Speaker 2: quasi like duganism of like this like multipolar world that 529 00:28:12,520 --> 00:28:15,160 Speaker 2: Putin certainly wants, and Trump is kind of signaling that 530 00:28:15,240 --> 00:28:18,000 Speaker 2: you know, through the influence of Bannon. He's also moving 531 00:28:18,040 --> 00:28:20,240 Speaker 2: towards with like Putin and trumpet, like, you know, the 532 00:28:20,280 --> 00:28:23,639 Speaker 2: two people who control the world. Speaking of Trump did 533 00:28:23,680 --> 00:28:26,719 Speaker 2: talk about receiving a letter from President Zelinski asking to 534 00:28:26,720 --> 00:28:30,879 Speaker 2: return to the neotiating table, and bragged about freeing another 535 00:28:31,240 --> 00:28:35,480 Speaker 2: weed smoking teacher in a Russian jail, returning him home 536 00:28:35,480 --> 00:28:39,560 Speaker 2: to America. And oddly enough, Trump met with the mother 537 00:28:39,720 --> 00:28:43,240 Speaker 2: of this teacher in Butler, Pennsylvania right before he got shot, 538 00:28:43,600 --> 00:28:48,360 Speaker 2: which led him to point towards the comparatour family, again, 539 00:28:48,440 --> 00:28:51,440 Speaker 2: pronouncing it in a completely new and different way. All 540 00:28:51,440 --> 00:28:54,640 Speaker 2: of the members of the family seemed very not thrilled 541 00:28:54,680 --> 00:28:57,840 Speaker 2: to be there, completely blank expressions, quite. 542 00:28:57,680 --> 00:28:59,280 Speaker 1: Odd, extremely weird. 543 00:28:59,560 --> 00:29:02,160 Speaker 2: Yeah, so this is where he ended the speech, was 544 00:29:02,160 --> 00:29:05,120 Speaker 2: talking about, you know, getting shot, and then kind of 545 00:29:05,120 --> 00:29:09,280 Speaker 2: went on a very long, ten minute, almost gptesque ramble 546 00:29:09,600 --> 00:29:12,760 Speaker 2: about like America. I didn't take any notes on it 547 00:29:12,760 --> 00:29:14,800 Speaker 2: because it just sounded like word salad. But there is 548 00:29:14,840 --> 00:29:16,440 Speaker 2: a few other mislaneous things from the speech I do 549 00:29:16,480 --> 00:29:18,800 Speaker 2: want to mention before we close out. Trump bragged about 550 00:29:18,800 --> 00:29:22,600 Speaker 2: stopping all government censorship and having brought back free speech 551 00:29:22,680 --> 00:29:27,320 Speaker 2: to America. Saying it's back, which is, you know, a 552 00:29:27,520 --> 00:29:31,560 Speaker 2: slightly humorous amidst reports of grants being pulled for using 553 00:29:31,640 --> 00:29:35,200 Speaker 2: quote unquote the bad words wrong words, as well as 554 00:29:35,240 --> 00:29:40,760 Speaker 2: a truth social post a truth made earlier today Wednesday 555 00:29:41,760 --> 00:29:45,040 Speaker 2: saying all federal funding will stop for any college, school, 556 00:29:45,280 --> 00:29:49,960 Speaker 2: or university that allows illegal protests. Agitators will be imprisoned 557 00:29:50,240 --> 00:29:53,280 Speaker 2: or permanently sent back to the country from which they came. 558 00:29:53,600 --> 00:29:56,800 Speaker 2: American students will be permanently expelled or, depending on the crime, 559 00:29:57,040 --> 00:30:01,719 Speaker 2: arrested no masks. So in one you can celebrate bringing 560 00:30:01,760 --> 00:30:03,680 Speaker 2: back free speech, and in the other you can call 561 00:30:03,760 --> 00:30:07,680 Speaker 2: for deporting people who protest or imprisoning students are protesting 562 00:30:07,840 --> 00:30:12,080 Speaker 2: on their own university campuses. Very very typical Trump double 563 00:30:12,160 --> 00:30:13,080 Speaker 2: speak type stuff. 564 00:30:13,840 --> 00:30:18,560 Speaker 1: He talked about bringing the people back to the office 565 00:30:18,600 --> 00:30:22,320 Speaker 1: like these are all like normal Trump yeah. 566 00:30:21,600 --> 00:30:24,240 Speaker 2: Well yeah, and these are things that have happened already. RYA. 567 00:30:24,520 --> 00:30:27,920 Speaker 2: Most of the half of this speech was celebrating things 568 00:30:27,960 --> 00:30:30,840 Speaker 2: that he's already done. The other half was like asking 569 00:30:30,920 --> 00:30:34,040 Speaker 2: Congress to help him do more. Things Mixed in with 570 00:30:34,080 --> 00:30:38,000 Speaker 2: these weird propaganda moves like making this thirteen year old 571 00:30:38,080 --> 00:30:42,520 Speaker 2: brain cancer survivor in honorary Secret Service agent and admitting 572 00:30:42,920 --> 00:30:47,240 Speaker 2: this very square looking teenager into West Point. Who by 573 00:30:47,240 --> 00:30:51,400 Speaker 2: the way, this this teenager has the most cop phenotype 574 00:30:51,440 --> 00:30:55,520 Speaker 2: I've ever seen before. It's crazy. I was shocked, like, 575 00:30:55,560 --> 00:30:59,160 Speaker 2: whoa they found him the cop phenotype? There he is, 576 00:31:00,440 --> 00:31:03,320 Speaker 2: which was which is two? Two more of these weird props. 577 00:31:03,640 --> 00:31:06,560 Speaker 3: It's like in the cave in Plato. Everything else is 578 00:31:06,600 --> 00:31:08,800 Speaker 3: just a reflection of this cob kid. Every other coult It. 579 00:31:08,960 --> 00:31:11,880 Speaker 2: It's so odd because like Trump spent this speech talking 580 00:31:11,920 --> 00:31:14,120 Speaker 2: about how, you know, like we're bringing back a merit 581 00:31:14,200 --> 00:31:17,800 Speaker 2: based hiring. We have quote ended the tyranny of DEI 582 00:31:17,920 --> 00:31:21,480 Speaker 2: across government, private sector, and military, as he then just 583 00:31:21,560 --> 00:31:24,880 Speaker 2: did two DEI hires on stage. But you know whom 584 00:31:24,880 --> 00:31:27,600 Speaker 2: I who am I to say? So that's kind of 585 00:31:27,640 --> 00:31:29,480 Speaker 2: all I had to say on the Trump speech. Right now, 586 00:31:29,840 --> 00:31:33,400 Speaker 2: I will briefly, very briefly talk about the Democratic response. 587 00:31:34,000 --> 00:31:36,800 Speaker 2: The Democratic response was done by Senator Slutkin from Michigan, 588 00:31:37,400 --> 00:31:39,680 Speaker 2: who opened by saying America wants change, but there's a 589 00:31:39,720 --> 00:31:42,800 Speaker 2: responsible way to make change in an irresponsible way, trying 590 00:31:42,840 --> 00:31:45,800 Speaker 2: to paint Doge as like this very irresponsible and brash 591 00:31:45,880 --> 00:31:49,240 Speaker 2: way to achieve efficiencies, something that we all obviously you know, 592 00:31:49,280 --> 00:31:52,400 Speaker 2: want the government to move more towards. She warned about 593 00:31:52,640 --> 00:31:55,720 Speaker 2: how Trump's actions may result in our recession, warned about 594 00:31:55,800 --> 00:31:59,400 Speaker 2: losing social Security, Medicare, and VA benefits. Quote in Musk 595 00:31:59,400 --> 00:32:02,840 Speaker 2: who recently social Security the biggest Ponzi scheme of all time, 596 00:32:03,240 --> 00:32:06,000 Speaker 2: and attacked Musk and the twenty year old DOGE members 597 00:32:06,240 --> 00:32:08,960 Speaker 2: for using their own servers to access your sensitive data. 598 00:32:10,160 --> 00:32:14,080 Speaker 2: Slotkin spent a lot of the rebuttal praising Ronald Reagan. 599 00:32:14,440 --> 00:32:18,040 Speaker 2: Odd for a Democrat. I would say, I don't know why, strange, 600 00:32:18,280 --> 00:32:20,360 Speaker 2: I don't know why you as the opposition party are 601 00:32:20,440 --> 00:32:24,480 Speaker 2: continuing to base your politics on praising Bush and Reagan. 602 00:32:25,160 --> 00:32:29,400 Speaker 2: Very cool opposition party bros, very fun stuff. She also said, 603 00:32:29,760 --> 00:32:33,320 Speaker 2: I've lived and worked in many countries. I've seen democracies 604 00:32:33,360 --> 00:32:35,840 Speaker 2: flicker out. I've seen what life is like when a 605 00:32:35,880 --> 00:32:38,520 Speaker 2: government is rigged. Like yeah, I bet you have a 606 00:32:38,920 --> 00:32:45,080 Speaker 2: former CIA agent. She also mentioned doom scrolling, So that 607 00:32:45,600 --> 00:32:48,360 Speaker 2: really shows how the Democrats have the finger on the 608 00:32:48,360 --> 00:32:52,120 Speaker 2: pulse here when doom scrolling is mentioned as something not 609 00:32:52,320 --> 00:32:55,320 Speaker 2: to do, saying instead, you should hold your elected officials, 610 00:32:55,320 --> 00:32:58,440 Speaker 2: including me, accountable. Watch how the voting, go to town halls, 611 00:32:58,440 --> 00:33:01,440 Speaker 2: demand the take action and organize. Pick up one issue 612 00:33:01,480 --> 00:33:04,920 Speaker 2: you're passionate about and engage. Doom scrolling doesn't count. Join 613 00:33:04,960 --> 00:33:07,200 Speaker 2: a group that cares about your issue and act. If 614 00:33:07,240 --> 00:33:10,120 Speaker 2: you can't find one, start one. And that was That 615 00:33:10,200 --> 00:33:14,520 Speaker 2: was the bulk of the ten minute Democratic response. Oh boy, 616 00:33:14,720 --> 00:33:16,840 Speaker 2: what a what a what a fun what a fun 617 00:33:16,920 --> 00:33:18,120 Speaker 2: day in American politics? 618 00:33:18,120 --> 00:33:19,320 Speaker 3: That was Yep. 619 00:33:19,600 --> 00:33:23,080 Speaker 2: Any final thoughts, James Sophie like this speech. 620 00:33:23,280 --> 00:33:26,960 Speaker 1: This episode is running long. Yeah, so I really don't 621 00:33:27,000 --> 00:33:33,560 Speaker 1: have any final thoughts other than bad, bad, bad, bad bad. 622 00:33:33,880 --> 00:33:37,760 Speaker 2: The Democrats are unwilling to do anything actually serious. Once again, 623 00:33:38,240 --> 00:33:40,280 Speaker 2: the attempts that quote unquote fact checking this speech are 624 00:33:40,320 --> 00:33:42,720 Speaker 2: also incredibly pathetic to look at. 625 00:33:43,840 --> 00:33:44,240 Speaker 3: Truly. 626 00:33:44,440 --> 00:33:46,480 Speaker 2: There's this New York Times fact check which which I 627 00:33:46,480 --> 00:33:47,800 Speaker 2: will close on just because it made me and the 628 00:33:47,800 --> 00:33:50,400 Speaker 2: rest of our group chat very upset, which outlined this 629 00:33:50,480 --> 00:33:53,000 Speaker 2: long paragraph from Trump saying over the past four years, 630 00:33:53,040 --> 00:33:55,520 Speaker 2: twenty one million people poured into the United States, many 631 00:33:55,560 --> 00:33:58,480 Speaker 2: of whom were murderers, human traffickers, gang members, and other 632 00:33:58,520 --> 00:34:01,000 Speaker 2: criminals from the streets of dangerous city and all throughout 633 00:34:01,000 --> 00:34:03,720 Speaker 2: the world. Because of Joe Biden's insane and very dangerous 634 00:34:03,720 --> 00:34:06,840 Speaker 2: open border policies. They are now strongly embedded in our country, 635 00:34:07,120 --> 00:34:09,520 Speaker 2: but we are getting them out and getting them out fast. 636 00:34:10,120 --> 00:34:13,880 Speaker 2: And the fact check for this very like false claim 637 00:34:14,840 --> 00:34:19,000 Speaker 2: is quote fast is a relative term. This statement is misleading. 638 00:34:20,040 --> 00:34:21,160 Speaker 3: It's just oh on. 639 00:34:21,600 --> 00:34:24,680 Speaker 2: It only focuses on the ending sentence saying that we're 640 00:34:24,719 --> 00:34:27,280 Speaker 2: getting these immigrants out and we're getting them out fast. 641 00:34:27,640 --> 00:34:32,320 Speaker 2: It ignores calling many of these twenty one million people 642 00:34:32,480 --> 00:34:35,879 Speaker 2: human traffickers, gang members, and criminals. Does not say that 643 00:34:35,960 --> 00:34:39,239 Speaker 2: we never have had open border policy like it's crazy, 644 00:34:39,480 --> 00:34:43,200 Speaker 2: even like the liberal fact checking is completely pathetic and toothless, 645 00:34:43,520 --> 00:34:46,560 Speaker 2: and like fact ticking doesn't work. It's not useful anyway. 646 00:34:46,920 --> 00:34:49,120 Speaker 2: That's why I'm not spending this whole episode fact checking 647 00:34:49,160 --> 00:34:53,200 Speaker 2: Trump's claims. But the fact that you're gonna parrot this 648 00:34:53,320 --> 00:34:57,640 Speaker 2: insane anti immigrant rhetoric and only fact chuck Trump saying 649 00:34:57,680 --> 00:35:00,319 Speaker 2: that we're gonna get these immigrants out of our country fast, 650 00:35:00,440 --> 00:35:03,000 Speaker 2: calling it a relative term, And this is the reason 651 00:35:03,080 --> 00:35:07,120 Speaker 2: that the statement is misleading. This completely shows how Democrats 652 00:35:07,160 --> 00:35:11,120 Speaker 2: like completely lost any momentum on the immigration topic. Same 653 00:35:11,120 --> 00:35:13,600 Speaker 2: thing with the trans topic. They're actually unwilling to push 654 00:35:13,640 --> 00:35:17,960 Speaker 2: back on changing population sentiment because they're automatically agreeing with 655 00:35:18,040 --> 00:35:21,680 Speaker 2: the actual conceit. Yeah, anyway, that got me upset, and 656 00:35:21,719 --> 00:35:25,799 Speaker 2: then I watched Yawe and then went to that, so. 657 00:35:25,000 --> 00:35:27,160 Speaker 3: There we go. Glad you got your Yaoi Erison. 658 00:35:27,480 --> 00:35:33,319 Speaker 4: Anyways, It Could Happen Here is a production of cool 659 00:35:33,400 --> 00:35:36,560 Speaker 4: Zone Media. For more podcasts from cool Zone Media, visit 660 00:35:36,600 --> 00:35:39,600 Speaker 4: our website pool Zonemedia dot com or check us out. 661 00:35:39,640 --> 00:35:43,080 Speaker 4: From the iHeartRadio app, Apple Podcasts, or wherever you listen 662 00:35:43,120 --> 00:35:45,759 Speaker 4: to podcasts, you can now find sources for It Could 663 00:35:45,760 --> 00:35:49,200 Speaker 4: Happen here, listed directly in episode descriptions. Thanks for listening.