1 00:00:11,360 --> 00:00:17,720 Speaker 1: Hey there, everybody, it is Wednesday, February twenty fifth, the 2 00:00:17,720 --> 00:00:22,360 Speaker 1: best State of the Union ever. And with that, welcome 3 00:00:22,400 --> 00:00:25,200 Speaker 1: to this episode of Amy and TJ. I should make 4 00:00:25,200 --> 00:00:27,640 Speaker 1: a distinction here I said best State of the Union ever, 5 00:00:27,840 --> 00:00:30,600 Speaker 1: not best State of the Union speech. 6 00:00:32,479 --> 00:00:34,160 Speaker 2: Just the production itself. 7 00:00:34,280 --> 00:00:36,680 Speaker 3: Wow, it was, you know what? 8 00:00:36,760 --> 00:00:39,239 Speaker 2: It was worth not getting a lot of sleep for. 9 00:00:39,680 --> 00:00:42,480 Speaker 4: We stayed up and look, you know me, I fall 10 00:00:42,520 --> 00:00:47,320 Speaker 4: asleep pretty much watching anything after nine pm. I was 11 00:00:47,400 --> 00:00:52,920 Speaker 4: up the entire time. It was highly watchable and dare 12 00:00:52,920 --> 00:00:54,320 Speaker 4: I say, entertaining. 13 00:00:53,960 --> 00:00:56,120 Speaker 3: And historic and long. 14 00:00:56,560 --> 00:00:59,160 Speaker 1: Folks, if you didn't stay up, and maybe you didn't, 15 00:00:59,360 --> 00:01:03,120 Speaker 1: but you missed the longest State of the Union speech 16 00:01:03,320 --> 00:01:08,160 Speaker 1: in history, surpassing a record only set by mister Trump. 17 00:01:08,319 --> 00:01:09,920 Speaker 1: It didn't feel like it was that long, I'll be 18 00:01:09,920 --> 00:01:10,280 Speaker 1: honest with you. 19 00:01:10,400 --> 00:01:11,399 Speaker 2: Didn't, you know? 20 00:01:11,520 --> 00:01:14,520 Speaker 4: And that is why it was so watchable, because it 21 00:01:14,600 --> 00:01:18,480 Speaker 4: wasn't just watching someone talk and talk and read prepared remarks. No, 22 00:01:19,280 --> 00:01:23,839 Speaker 4: it was interspersed with poignant moments, things that even brought 23 00:01:23,880 --> 00:01:27,959 Speaker 4: tears to my eyes, funny moments. I got a kick 24 00:01:28,000 --> 00:01:31,320 Speaker 4: out of watching the two fellas behind Trump the entire time. 25 00:01:31,520 --> 00:01:36,000 Speaker 2: Per usual, And yeah, it was. It had everything you'd 26 00:01:36,080 --> 00:01:39,000 Speaker 2: want in a television production. 27 00:01:39,360 --> 00:01:42,199 Speaker 1: It was a reality show, it was a game show. 28 00:01:42,760 --> 00:01:47,440 Speaker 1: There were reveals, there were surprises, reunions, awards. 29 00:01:48,080 --> 00:01:51,680 Speaker 3: This was a TV show the likes we've never seen. 30 00:01:52,000 --> 00:01:53,640 Speaker 1: When we say this was the best day of the 31 00:01:53,720 --> 00:01:55,840 Speaker 1: I'm saying this, I don't know how you feel about it. 32 00:01:56,080 --> 00:01:58,760 Speaker 1: This was the best I've ever seen. Not having to 33 00:01:58,800 --> 00:02:01,640 Speaker 1: do anything with that. This is not where we're going 34 00:02:01,720 --> 00:02:03,440 Speaker 1: to get into the politics and the back and forth. 35 00:02:03,440 --> 00:02:05,640 Speaker 1: Everybody's got that fact checks. He was lying about this 36 00:02:06,280 --> 00:02:09,000 Speaker 1: a lot of stuff we've heard before. Anyway, robes, there 37 00:02:09,000 --> 00:02:12,360 Speaker 1: was a production value, and we were watching a showman 38 00:02:12,440 --> 00:02:12,840 Speaker 1: last time. 39 00:02:12,960 --> 00:02:17,200 Speaker 2: Yes, and that is what made it so fun to watch. 40 00:02:17,240 --> 00:02:19,760 Speaker 4: It wasn't just listening to what he had to say, 41 00:02:19,960 --> 00:02:24,160 Speaker 4: or yes, what he was touting as his accomplishments. 42 00:02:23,320 --> 00:02:23,960 Speaker 2: For the year. 43 00:02:24,600 --> 00:02:28,680 Speaker 4: No, it was all of the stories that he created 44 00:02:28,720 --> 00:02:32,520 Speaker 4: and his team created throughout the night, interspersed in his 45 00:02:32,639 --> 00:02:34,919 Speaker 4: speech that kept you watching. 46 00:02:35,160 --> 00:02:37,080 Speaker 1: Okay, so let's be clear, a lot of people who 47 00:02:37,120 --> 00:02:39,000 Speaker 1: are just anti Trump are going to look at this 48 00:02:39,080 --> 00:02:42,280 Speaker 1: and those statements are going to be out there. It 49 00:02:42,320 --> 00:02:44,240 Speaker 1: was meant to be a distraction. He didn't have a 50 00:02:44,280 --> 00:02:46,280 Speaker 1: real record to talk about. So he filled it with 51 00:02:46,320 --> 00:02:48,280 Speaker 1: all these little moments and filled it with all these 52 00:02:48,280 --> 00:02:52,480 Speaker 1: Americans and highlighting exceptionalism for the United States. And this 53 00:02:52,639 --> 00:02:55,079 Speaker 1: was all just done as a show. This wasn't a speech. 54 00:02:55,120 --> 00:02:56,760 Speaker 1: He did not tell us the state of the Union. 55 00:02:56,919 --> 00:03:02,400 Speaker 1: We get that criticism understood. This is not politics. We're 56 00:03:02,400 --> 00:03:05,920 Speaker 1: talking about Rose and I. We are simply talking about 57 00:03:06,400 --> 00:03:11,320 Speaker 1: the effectiveness of moments. He had robes that were genuine 58 00:03:11,560 --> 00:03:14,640 Speaker 1: with genuine people. They did not feel, at least to 59 00:03:14,800 --> 00:03:19,200 Speaker 1: me necessarily, so you know what, they were authentic moments. 60 00:03:19,840 --> 00:03:23,520 Speaker 1: And if you couldn't feel a hundred year old guy 61 00:03:23,760 --> 00:03:26,200 Speaker 1: finally getting a medal of honor, if you couldn't feel 62 00:03:26,200 --> 00:03:29,200 Speaker 1: a reunion between a woman and a family member who 63 00:03:29,240 --> 00:03:32,360 Speaker 1: had been in jail, if you can't feel good seeing 64 00:03:32,720 --> 00:03:37,040 Speaker 1: the US hockey team up there, forget politics, forget what 65 00:03:37,080 --> 00:03:41,080 Speaker 1: you feel about Trump. Those were very cool moments in 66 00:03:41,120 --> 00:03:43,760 Speaker 1: which we all related to and were proud of the 67 00:03:43,800 --> 00:03:45,480 Speaker 1: people that were being recognized. 68 00:03:45,760 --> 00:03:47,360 Speaker 3: And that's just truth. 69 00:03:48,360 --> 00:03:51,440 Speaker 4: Yes, you summed it up perfectly. That is exactly why 70 00:03:51,600 --> 00:03:54,760 Speaker 4: we watched. You know, we were hoping for a show, 71 00:03:55,320 --> 00:03:58,840 Speaker 4: and it exceeded all expectations. I have to say, I. 72 00:03:58,880 --> 00:04:00,880 Speaker 1: Was worried it was going to be nastier than it 73 00:04:00,960 --> 00:04:03,200 Speaker 1: got between some of the hecklers. 74 00:04:03,640 --> 00:04:05,480 Speaker 2: You pointed this out last night. 75 00:04:05,560 --> 00:04:07,760 Speaker 4: Even as we were watching, and even as he was 76 00:04:07,880 --> 00:04:13,520 Speaker 4: calling out democrats, he was he was doing it lightheartedly, 77 00:04:13,800 --> 00:04:16,479 Speaker 4: if that makes any sense. Whereas when you read his 78 00:04:16,520 --> 00:04:19,680 Speaker 4: true social posts and a lot of the vitriolge we 79 00:04:19,880 --> 00:04:23,279 Speaker 4: hear and read from him seems very mean spirited and 80 00:04:23,320 --> 00:04:27,200 Speaker 4: heavy handed. This was all very light and almost fun 81 00:04:27,320 --> 00:04:29,960 Speaker 4: and funny. Dare I say, like even when he was 82 00:04:30,400 --> 00:04:33,040 Speaker 4: saying things that were anti democrats and calling them out 83 00:04:33,040 --> 00:04:35,800 Speaker 4: for not standing up, you were kind of laughing, like 84 00:04:35,920 --> 00:04:39,719 Speaker 4: it wasn't It didn't feel mean at all. 85 00:04:39,839 --> 00:04:41,280 Speaker 3: That's true. He was performing. 86 00:04:41,320 --> 00:04:43,400 Speaker 1: He was a showman last night, and we said at 87 00:04:43,400 --> 00:04:45,520 Speaker 1: the very big he's he's on tonight. 88 00:04:45,920 --> 00:04:47,240 Speaker 2: He was well rusted. 89 00:04:47,400 --> 00:04:51,159 Speaker 3: Yes, it felt like he had a bounce in his step. 90 00:04:51,200 --> 00:04:53,120 Speaker 1: And to your point, again, I don't that it was 91 00:04:53,160 --> 00:04:55,039 Speaker 1: a couple of mean moments people can point out in 92 00:04:55,120 --> 00:04:58,240 Speaker 1: some of the context of the speech, but he was 93 00:04:58,240 --> 00:05:00,560 Speaker 1: on now. I said to you at one point, Wow, 94 00:05:00,600 --> 00:05:03,679 Speaker 1: he's been on for an hour, and it doesn't feel 95 00:05:03,720 --> 00:05:05,480 Speaker 1: that way. But it ended up being almost a two 96 00:05:05,560 --> 00:05:07,440 Speaker 1: hour speech. That's a long speech. 97 00:05:07,839 --> 00:05:10,960 Speaker 4: An hour and forty nine minutes. Yes, as you pointed out, 98 00:05:10,960 --> 00:05:13,800 Speaker 4: the longest State of the Union speech in history, and 99 00:05:13,880 --> 00:05:16,680 Speaker 4: the previous record was an hour and forty minutes sent 100 00:05:16,760 --> 00:05:18,920 Speaker 4: by set by Trump himself last year. 101 00:05:19,000 --> 00:05:20,440 Speaker 1: And he set us up with this. He told us 102 00:05:20,440 --> 00:05:22,279 Speaker 1: ahead of time, it's gonna be a long speech. I 103 00:05:22,279 --> 00:05:24,960 Speaker 1: have a lot to talk about. And it was all 104 00:05:25,000 --> 00:05:27,360 Speaker 1: he you know what, he didn't talk as much as 105 00:05:27,400 --> 00:05:28,480 Speaker 1: he awarded. 106 00:05:28,600 --> 00:05:30,440 Speaker 3: He was a host last. 107 00:05:30,240 --> 00:05:33,600 Speaker 1: Night, directing things in that spot. Let's start though, with 108 00:05:33,640 --> 00:05:37,600 Speaker 1: the entrance. This is always fun funny and sometimes you 109 00:05:37,640 --> 00:05:42,440 Speaker 1: could say ridiculous to see these congressmen and women falling 110 00:05:42,480 --> 00:05:46,600 Speaker 1: over themselves, clamoring, trying to get a handshake or a 111 00:05:46,640 --> 00:05:48,760 Speaker 1: picture or a selfie or whatever with the president robes 112 00:05:48,800 --> 00:05:49,040 Speaker 1: they were. 113 00:05:49,839 --> 00:05:51,520 Speaker 3: It's I don't know, it's tradition. 114 00:05:51,720 --> 00:05:56,960 Speaker 4: It turns it turns adults into little screaming teenage girls 115 00:05:57,120 --> 00:05:58,560 Speaker 4: finding a member of the Beatles. 116 00:05:58,600 --> 00:06:00,040 Speaker 2: Like that's what it looked. 117 00:05:59,839 --> 00:06:03,279 Speaker 4: Like actually in moments, running trying to get selfies with 118 00:06:03,320 --> 00:06:04,320 Speaker 4: the president. 119 00:06:04,200 --> 00:06:06,760 Speaker 2: Completely as you you would. 120 00:06:06,560 --> 00:06:09,760 Speaker 4: Be bortified having a camera trained on you while you're 121 00:06:09,880 --> 00:06:12,520 Speaker 4: running after the president trying to get a selfie with him. 122 00:06:12,760 --> 00:06:14,600 Speaker 2: But yes, we saw grownadult's doing. 123 00:06:14,360 --> 00:06:16,599 Speaker 3: That, so we see it every time. I don't know why. 124 00:06:16,800 --> 00:06:17,400 Speaker 3: It's tradition. 125 00:06:17,480 --> 00:06:20,000 Speaker 1: It's kind of funny, it's kind of silly, but they do. 126 00:06:20,080 --> 00:06:21,240 Speaker 1: And who was the guy, I don't even know who 127 00:06:21,279 --> 00:06:23,120 Speaker 1: he was, the one that had the Trump tie on. 128 00:06:23,440 --> 00:06:25,240 Speaker 2: That was hilarious. I don't know who it. 129 00:06:25,160 --> 00:06:27,120 Speaker 1: Was last night, but yeah, the guy's trying to make 130 00:06:27,120 --> 00:06:30,080 Speaker 1: his way to give a big speech. One guy tried 131 00:06:30,080 --> 00:06:31,680 Speaker 1: to do a selfie and didn't you know, we've all 132 00:06:31,720 --> 00:06:32,040 Speaker 1: been there. 133 00:06:32,080 --> 00:06:33,240 Speaker 2: He couldn't get his right. 134 00:06:33,360 --> 00:06:35,720 Speaker 3: Yes, like you're holding up the president. 135 00:06:35,640 --> 00:06:37,279 Speaker 2: Dude, and everyone's watching you. 136 00:06:37,440 --> 00:06:39,480 Speaker 1: Okay, And everybody was watching the moment. What did you 137 00:06:39,520 --> 00:06:42,360 Speaker 1: think of it? Robes anticipating what is he going to do? 138 00:06:42,760 --> 00:06:44,799 Speaker 1: Is he going to walk past members of the Supreme 139 00:06:44,800 --> 00:06:47,840 Speaker 1: Court that he just ripped in the past several days 140 00:06:47,839 --> 00:06:51,159 Speaker 1: for their decision. I thought he held it better than expected. 141 00:06:51,320 --> 00:06:53,160 Speaker 2: I thought it was better than expected, is a good 142 00:06:53,200 --> 00:06:55,080 Speaker 2: way to put it. I was worried that he was 143 00:06:55,080 --> 00:06:55,359 Speaker 2: going to. 144 00:06:55,360 --> 00:06:59,440 Speaker 4: Be petty, and he greeted them all as he walked by. 145 00:06:59,600 --> 00:07:02,440 Speaker 4: He he gave him a little verbal lashing when he 146 00:07:02,520 --> 00:07:06,120 Speaker 4: got up eventually to give his speech, but almost in. 147 00:07:06,080 --> 00:07:07,599 Speaker 2: Again a funny way. 148 00:07:08,080 --> 00:07:11,480 Speaker 4: He was obviously and is clearly upset about the Supreme 149 00:07:11,480 --> 00:07:16,040 Speaker 4: Court's decision on his tariffs, and he did call out folks, 150 00:07:16,400 --> 00:07:18,800 Speaker 4: but again it didn't feel mean. 151 00:07:19,040 --> 00:07:22,680 Speaker 1: But after the anger we saw immediately after their decision, 152 00:07:22,800 --> 00:07:26,680 Speaker 1: he went after several of them in a very nasty way. 153 00:07:27,200 --> 00:07:29,280 Speaker 1: He had the opportunity to do so. Last night people 154 00:07:29,280 --> 00:07:31,800 Speaker 1: were wondering will he with them sitting feet from him, 155 00:07:31,840 --> 00:07:34,040 Speaker 1: is he going to be able to keep from going 156 00:07:34,080 --> 00:07:34,640 Speaker 1: off on him? 157 00:07:35,000 --> 00:07:36,040 Speaker 3: And Rosey kind of did. 158 00:07:36,080 --> 00:07:39,800 Speaker 1: He just acknowledged a disappointing decision, a terrible does it whatever, 159 00:07:39,880 --> 00:07:40,480 Speaker 1: and moved on. 160 00:07:40,600 --> 00:07:41,840 Speaker 3: He didn't single anybody out. 161 00:07:42,040 --> 00:07:44,520 Speaker 4: The only thing that was awkward about it was the 162 00:07:44,600 --> 00:07:49,800 Speaker 4: camera choices that Network's made. They were actually like close 163 00:07:49,920 --> 00:07:53,360 Speaker 4: up of the different faces of the Supreme Court justices 164 00:07:53,400 --> 00:07:57,400 Speaker 4: as he was saying things, and their face stoically vacant, 165 00:07:57,520 --> 00:07:59,800 Speaker 4: you know, trying not to have any expression or emotion 166 00:08:00,160 --> 00:08:01,520 Speaker 4: as he's eviscerating them. 167 00:08:01,680 --> 00:08:03,160 Speaker 2: That was awkward for me who. 168 00:08:03,000 --> 00:08:05,240 Speaker 1: Had the They did a good job of not having 169 00:08:05,240 --> 00:08:07,480 Speaker 1: an expression, But there's one I'm thinking about, which one? 170 00:08:07,760 --> 00:08:09,440 Speaker 3: Did you notice one that did. 171 00:08:10,240 --> 00:08:14,160 Speaker 1: No Elena Kagan to me, Oh really, Amy Cony Barrett. 172 00:08:14,160 --> 00:08:16,800 Speaker 3: I give her credit. She was stoic, she knew that 173 00:08:16,880 --> 00:08:18,960 Speaker 3: was the moment. Yes, and let me keep it cool. 174 00:08:20,320 --> 00:08:22,160 Speaker 1: It was like the Award Show when they have five 175 00:08:22,240 --> 00:08:25,360 Speaker 1: nominees for Best Actor and you know you have to 176 00:08:25,400 --> 00:08:27,680 Speaker 1: be cool. When the reaction comes, it's not you. It's 177 00:08:27,760 --> 00:08:30,200 Speaker 1: like she knows the camera's on her and she did not. 178 00:08:30,320 --> 00:08:31,040 Speaker 1: She gave us nothing. 179 00:08:31,160 --> 00:08:32,600 Speaker 2: You said she did a great job. 180 00:08:32,800 --> 00:08:35,480 Speaker 4: Yeah, she gave us nothing, just a complete vacant like 181 00:08:35,800 --> 00:08:38,000 Speaker 4: you will not be able to read my emotion right now. 182 00:08:38,280 --> 00:08:39,679 Speaker 2: You cannot tell what I'm thinking. 183 00:08:39,800 --> 00:08:41,720 Speaker 3: Moment of the night. It had to be the hockey team. 184 00:08:41,840 --> 00:08:43,360 Speaker 3: Would it be for you the moment of the night? 185 00:08:43,880 --> 00:08:46,320 Speaker 4: I well, there were several, but it was in my 186 00:08:46,440 --> 00:08:47,520 Speaker 4: top three for sure. 187 00:08:48,440 --> 00:08:49,600 Speaker 3: This was a nice moment. 188 00:08:49,720 --> 00:08:52,960 Speaker 1: And look, the US men's hockey team the heroes for 189 00:08:53,000 --> 00:08:54,960 Speaker 1: the rest of their lives for what they pulled off 190 00:08:55,480 --> 00:08:58,280 Speaker 1: and the way he had them enter. We got word 191 00:08:58,280 --> 00:08:59,760 Speaker 1: ahead of time that the hockey team was going to 192 00:08:59,760 --> 00:09:01,480 Speaker 1: a I didn't know if they were going to sit 193 00:09:01,520 --> 00:09:03,800 Speaker 1: there the whole time, which I thought would be really, 194 00:09:03,800 --> 00:09:06,199 Speaker 1: they're gonna sit through that whole thing? No, he had 195 00:09:06,240 --> 00:09:10,800 Speaker 1: them walk in stand a presentation gold medals, Robes. 196 00:09:11,520 --> 00:09:13,719 Speaker 3: I thought it was great. They had the great sweaters on. 197 00:09:14,160 --> 00:09:18,200 Speaker 3: It was a great moment. I don't know how to okay, 198 00:09:18,400 --> 00:09:21,320 Speaker 3: he used them as paw. People will criticize what he did. 199 00:09:21,360 --> 00:09:24,640 Speaker 1: But for that team to get that honor, that recognition 200 00:09:24,720 --> 00:09:26,800 Speaker 1: on that night, I have no problem. 201 00:09:26,880 --> 00:09:28,880 Speaker 4: I thought it was really cool and I love that 202 00:09:28,920 --> 00:09:31,960 Speaker 4: he gave the Presidential Medal of Freedom to the goalie. 203 00:09:32,440 --> 00:09:36,760 Speaker 4: We all watched that incredible save that absolutely gave tm 204 00:09:36,840 --> 00:09:39,960 Speaker 4: USA the victory, and he specifically mentioned watching that save 205 00:09:40,440 --> 00:09:44,319 Speaker 4: and giving him that high honor, the highest honor. 206 00:09:44,080 --> 00:09:47,400 Speaker 3: And trope Rose. We almost told you Trump, Robes. We uh. 207 00:09:48,000 --> 00:09:49,719 Speaker 1: We looked at each other when it happened and he 208 00:09:49,840 --> 00:09:52,720 Speaker 1: talked about the president the highest civilian honor to a goalie. 209 00:09:53,280 --> 00:09:55,400 Speaker 3: We both looked at you. O that damn okay with that. 210 00:09:55,600 --> 00:09:57,080 Speaker 2: Yep, it was a cool moment. 211 00:09:57,160 --> 00:09:59,720 Speaker 1: He was special then the Olympics and he is absolutely 212 00:09:59,720 --> 00:10:02,240 Speaker 1: a American hero now at the very top. It didn't 213 00:10:02,280 --> 00:10:04,480 Speaker 1: last long. How long did a representative Green last in 214 00:10:04,480 --> 00:10:05,360 Speaker 1: the room? Five minutes? 215 00:10:06,080 --> 00:10:08,760 Speaker 4: If that you kept saying, when's he going to get 216 00:10:08,800 --> 00:10:10,440 Speaker 4: taken out? When's he going to get taken out with 217 00:10:10,480 --> 00:10:11,000 Speaker 4: his sign. 218 00:10:11,559 --> 00:10:13,960 Speaker 1: Yes, Representative Al Green who got kicked out last year, 219 00:10:14,000 --> 00:10:15,360 Speaker 1: he got censured last year, did he not? 220 00:10:15,440 --> 00:10:15,760 Speaker 2: He did? 221 00:10:16,840 --> 00:10:19,080 Speaker 1: He had he said last year was spontaneous. He had 222 00:10:19,080 --> 00:10:21,400 Speaker 1: a cane and got up, started yelling as the president 223 00:10:21,440 --> 00:10:25,240 Speaker 1: that kicked him out. This time, this was a planned demonstration, 224 00:10:25,320 --> 00:10:26,800 Speaker 1: for sure. He came in with signs. 225 00:10:26,920 --> 00:10:29,040 Speaker 4: He came in with a sign that says black people 226 00:10:29,120 --> 00:10:32,760 Speaker 4: are not apes, referring to, of course, President Trump reposting 227 00:10:32,960 --> 00:10:37,439 Speaker 4: that video that at the end showed the Obamas as 228 00:10:37,640 --> 00:10:41,160 Speaker 4: apes with Lion King playing in the background. So yes, 229 00:10:41,200 --> 00:10:45,400 Speaker 4: he you can't make that up. Trump did not apologize 230 00:10:45,400 --> 00:10:47,800 Speaker 4: for it, did take it down, but yes, Al Green 231 00:10:47,920 --> 00:10:49,160 Speaker 4: making his point with his sign. 232 00:10:49,320 --> 00:10:50,520 Speaker 1: You know I was supposed to have a sign. You know, 233 00:10:50,520 --> 00:10:52,000 Speaker 1: I was supposed to have a pro so he was 234 00:10:52,040 --> 00:10:54,360 Speaker 1: not following the korum if you will. He got escorted 235 00:10:54,440 --> 00:10:58,679 Speaker 1: out once again. The only ugly I don't know whereas 236 00:10:58,679 --> 00:11:02,240 Speaker 1: if we call it an ugly moment. But he did 237 00:11:02,280 --> 00:11:03,959 Speaker 1: make mention in the speech. We got a heads up 238 00:11:04,240 --> 00:11:07,640 Speaker 1: that this was one of the nastier or divisive moments 239 00:11:07,679 --> 00:11:10,439 Speaker 1: of boy, he's calling out what the what's happened to 240 00:11:10,480 --> 00:11:14,240 Speaker 1: fraud in Minnesota and specifically calling out the Somali community, 241 00:11:14,240 --> 00:11:18,959 Speaker 1: and you could expect ilhan Omar, who represents that state. 242 00:11:20,440 --> 00:11:21,199 Speaker 1: She started yelling. 243 00:11:21,240 --> 00:11:23,840 Speaker 4: She started yelling, liar, you should be ashamed. She said, 244 00:11:23,880 --> 00:11:28,080 Speaker 4: you're a murderer. You've killed Americans. Yes, and she was 245 00:11:28,400 --> 00:11:30,120 Speaker 4: screaming at him while he was talking. 246 00:11:30,360 --> 00:11:31,880 Speaker 3: That was an ugly moment. 247 00:11:32,000 --> 00:11:35,480 Speaker 1: I don't know how Democrats supposed to handle last night. 248 00:11:35,520 --> 00:11:36,760 Speaker 1: What do you do with this guy? Oh? Yeah, we 249 00:11:36,760 --> 00:11:39,360 Speaker 1: didn't even mention. The count is somewhere between fifty and 250 00:11:39,360 --> 00:11:43,120 Speaker 1: seventy Democrats boycotted. They didn't even show up to the 251 00:11:43,120 --> 00:11:45,160 Speaker 1: State of the Union. They have their reasons, they have 252 00:11:45,240 --> 00:11:47,560 Speaker 1: their feelings they have I mean, maybe they think they're 253 00:11:47,559 --> 00:11:50,840 Speaker 1: doing the right thing. I don't know, you show up. 254 00:11:50,840 --> 00:11:52,600 Speaker 1: I wish they would show up, but they have their 255 00:11:52,640 --> 00:11:53,520 Speaker 1: own way of doing things. 256 00:11:53,559 --> 00:11:55,720 Speaker 2: Look, I appreciated the folks who did show up. 257 00:11:55,760 --> 00:11:57,400 Speaker 4: You did see a lot of empty seats on the 258 00:11:57,400 --> 00:12:00,319 Speaker 4: Democrats side, and of course you saw Trump point out 259 00:12:00,400 --> 00:12:02,040 Speaker 4: every time Democrats. 260 00:12:01,480 --> 00:12:02,240 Speaker 2: Didn't stand up. 261 00:12:02,320 --> 00:12:06,320 Speaker 4: This is very typical, but he did it often and 262 00:12:06,559 --> 00:12:10,400 Speaker 4: in certain points where he was baffled or seemingly baffled 263 00:12:10,440 --> 00:12:14,000 Speaker 4: Why wouldn't you stand up for that, for that person, 264 00:12:14,040 --> 00:12:14,600 Speaker 4: for that honor. 265 00:12:14,640 --> 00:12:16,040 Speaker 2: It has nothing to do with politics. 266 00:12:16,040 --> 00:12:18,200 Speaker 4: So yes, if you did choose to come, and you 267 00:12:18,240 --> 00:12:20,560 Speaker 4: were a Democrat, you were faced with that decision when 268 00:12:20,559 --> 00:12:21,319 Speaker 4: do I stand up? 269 00:12:21,360 --> 00:12:23,680 Speaker 2: When do I not stand up? That is that is tough. 270 00:12:23,720 --> 00:12:26,160 Speaker 1: Sometimes they didn't seem like they had a meeting about 271 00:12:26,160 --> 00:12:26,800 Speaker 1: it ahead of time. 272 00:12:26,920 --> 00:12:27,800 Speaker 2: No, because it was. 273 00:12:28,160 --> 00:12:31,360 Speaker 1: Yeah, it was varied, because there were times and broke. 274 00:12:31,480 --> 00:12:33,840 Speaker 1: I think he called it out. There were moments that 275 00:12:34,000 --> 00:12:36,840 Speaker 1: everybody in the country we all agree with, but it's 276 00:12:36,840 --> 00:12:40,360 Speaker 1: coming from him, so we can't applaud it. That is 277 00:12:40,400 --> 00:12:42,480 Speaker 1: what it felt like in the room, like, well, oh 278 00:12:42,520 --> 00:12:44,560 Speaker 1: my god, I can't remember her his name? The parents, 279 00:12:44,559 --> 00:12:47,120 Speaker 1: So the young lady killed on the train, the murdered. 280 00:12:47,559 --> 00:12:48,960 Speaker 2: Yes, yes, yes, I remember her name. 281 00:12:49,000 --> 00:12:52,840 Speaker 1: But YEH pointed out the parents. The mom has tears 282 00:12:53,360 --> 00:12:56,560 Speaker 1: running down her eyes. A lot of Democrats sat on 283 00:12:56,559 --> 00:12:56,960 Speaker 1: their hands. 284 00:12:57,120 --> 00:12:59,920 Speaker 2: Yeah, that's tough. I don't know why that made they 285 00:13:00,120 --> 00:13:00,880 Speaker 2: made that decision. 286 00:13:01,559 --> 00:13:04,480 Speaker 1: It's I don't He even said some of them didn't 287 00:13:04,480 --> 00:13:06,320 Speaker 1: stand up for I think it's right. 288 00:13:06,360 --> 00:13:06,920 Speaker 3: The hockey team. 289 00:13:07,000 --> 00:13:09,320 Speaker 4: No, he absolutely said that. Yes, he said, how do 290 00:13:09,360 --> 00:13:11,280 Speaker 4: you not have some of you stood up, but not 291 00:13:11,400 --> 00:13:13,240 Speaker 4: all of you did. How do you not stand up 292 00:13:13,280 --> 00:13:14,480 Speaker 4: for the US hockey team? 293 00:13:14,600 --> 00:13:16,600 Speaker 1: Yes, and he kind of set them up. And the 294 00:13:16,640 --> 00:13:19,400 Speaker 1: biggest trap he set robes. I don't know if this 295 00:13:19,480 --> 00:13:22,679 Speaker 1: is good politics, good theater, if it was petty, if 296 00:13:22,720 --> 00:13:26,440 Speaker 1: it was unfair, even but what do you do? He 297 00:13:26,600 --> 00:13:31,880 Speaker 1: asked Democrats a question that, oh, yes, The answer should 298 00:13:31,880 --> 00:13:33,160 Speaker 1: have been yes, right. 299 00:13:33,240 --> 00:13:37,360 Speaker 2: Yes, right, it was Robes. 300 00:13:37,640 --> 00:13:40,120 Speaker 1: It was a trap. He did set them up, and 301 00:13:40,280 --> 00:13:45,200 Speaker 1: it looked bad. But I don't know how it's being 302 00:13:45,280 --> 00:13:49,200 Speaker 1: viewed today. But he's asking them the question, Robes, stand 303 00:13:49,240 --> 00:13:52,160 Speaker 1: if you believe the first duty of the US government 304 00:13:52,200 --> 00:13:56,040 Speaker 1: is to protect American citizens, not illegal aliens. 305 00:13:56,480 --> 00:13:59,200 Speaker 3: It was a trap. It was an absolute trap. 306 00:13:59,559 --> 00:14:02,520 Speaker 1: Half the room stood up, applauded soundly, and you see 307 00:14:02,559 --> 00:14:06,640 Speaker 1: the other side of the room when asked, is your 308 00:14:06,800 --> 00:14:12,040 Speaker 1: job to protect American citizens over illegal aliens? And they 309 00:14:12,120 --> 00:14:13,439 Speaker 1: didn't respond to that. 310 00:14:13,760 --> 00:14:15,520 Speaker 3: It was a trap. It was a set up. Maybe 311 00:14:15,520 --> 00:14:18,920 Speaker 3: it was unfair, but to a lay person it looked bad. 312 00:14:19,000 --> 00:14:21,400 Speaker 2: Maybe it did look bad. 313 00:14:21,440 --> 00:14:24,600 Speaker 4: But I understand their dilemma because they're in their heads. 314 00:14:24,680 --> 00:14:27,000 Speaker 4: I'm sure they're thinking, you know, what, my job is 315 00:14:27,040 --> 00:14:30,240 Speaker 4: to protect all humans who are in this country, and 316 00:14:30,320 --> 00:14:35,040 Speaker 4: so you know, not separating people based on their immigration status. 317 00:14:35,320 --> 00:14:37,320 Speaker 4: That's what I'm thinking was in their heads. And by 318 00:14:37,400 --> 00:14:40,560 Speaker 4: standing up, you're valuing one life over another. 319 00:14:40,880 --> 00:14:41,320 Speaker 2: I don't know. 320 00:14:41,400 --> 00:14:42,960 Speaker 4: I think it's a tough call for them, and that 321 00:14:43,040 --> 00:14:46,320 Speaker 4: might be why many Democrats chose to boycott, because they 322 00:14:46,320 --> 00:14:48,400 Speaker 4: were anticipating getting set up and putting. 323 00:14:48,160 --> 00:14:51,000 Speaker 1: A spot that would actually make sense. How do you 324 00:14:51,160 --> 00:14:54,840 Speaker 1: handle that, though, Robes? I mean, what is should we 325 00:14:54,880 --> 00:14:56,920 Speaker 1: be asking that question? You know, it was worded in 326 00:14:57,000 --> 00:14:59,920 Speaker 1: such a way, it was carefully done. It made it impossible. 327 00:15:00,120 --> 00:15:03,760 Speaker 4: It was impossible because, yes, if you were somebody who 328 00:15:03,800 --> 00:15:09,000 Speaker 4: has stood up to protect the lives of folks who 329 00:15:09,000 --> 00:15:12,520 Speaker 4: are here who are undocumented, how do you stand up 330 00:15:12,600 --> 00:15:18,720 Speaker 4: and value legally like legal status over illegal status. 331 00:15:19,000 --> 00:15:19,520 Speaker 2: That's tough. 332 00:15:19,600 --> 00:15:22,360 Speaker 1: And then the question other plenty of folks his supporters 333 00:15:22,400 --> 00:15:26,400 Speaker 1: will look, how can you tell me that it's you're 334 00:15:26,480 --> 00:15:28,560 Speaker 1: looking out for me and as an American citizen, just 335 00:15:28,600 --> 00:15:30,520 Speaker 1: as much as you're looking out someone who crossed the 336 00:15:30,520 --> 00:15:34,720 Speaker 1: border illegally that works in his base, that worked in 337 00:15:34,760 --> 00:15:37,840 Speaker 1: certain parts of the country, And that was a I 338 00:15:37,880 --> 00:15:40,640 Speaker 1: give them credit for the setup, but it was a setup. 339 00:15:41,200 --> 00:15:43,880 Speaker 1: It was an absolute setup. The other parts, there were 340 00:15:43,880 --> 00:15:46,920 Speaker 1: two Metal of Honors, meals of honor given out last 341 00:15:46,960 --> 00:15:48,400 Speaker 1: night pros. 342 00:15:48,440 --> 00:15:49,680 Speaker 3: These were highlight moments. 343 00:15:49,920 --> 00:15:52,240 Speaker 4: They were because you asked if my the top moment 344 00:15:52,480 --> 00:15:55,600 Speaker 4: was the US men's hockey team, and that was among them. 345 00:15:55,640 --> 00:16:01,920 Speaker 2: But seeing these men in very two different parts of 346 00:16:01,960 --> 00:16:04,200 Speaker 2: their life or fronts of their military service, one who 347 00:16:04,320 --> 00:16:06,280 Speaker 2: was one hundred years old correct. 348 00:16:06,800 --> 00:16:11,240 Speaker 4: And then we had the helicopter pilot who was injured in. 349 00:16:11,200 --> 00:16:14,080 Speaker 2: The Venezuela raid. That was phenomenal. 350 00:16:14,120 --> 00:16:18,240 Speaker 4: I didn't even realize that someone was so injured and 351 00:16:18,320 --> 00:16:22,640 Speaker 4: someone so pivotal to the mission in getting Maduro. But 352 00:16:22,720 --> 00:16:26,200 Speaker 4: the fact that he was described as piloting this this 353 00:16:26,320 --> 00:16:31,160 Speaker 4: helicopter with bullet wounds in his his legs where his 354 00:16:31,240 --> 00:16:34,640 Speaker 4: bones were fractured and he was in incredible pain having 355 00:16:34,680 --> 00:16:37,120 Speaker 4: to pilot the helicopter using his legs. 356 00:16:37,640 --> 00:16:39,760 Speaker 2: It was remarkable. They hear this. 357 00:16:39,800 --> 00:16:42,400 Speaker 1: Story and then to see the guy come in using 358 00:16:42,400 --> 00:16:44,680 Speaker 1: a walker and his wife with him. 359 00:16:45,000 --> 00:16:46,960 Speaker 3: Oh yeah, Amy and Eric, I mean. 360 00:16:46,800 --> 00:16:49,479 Speaker 2: Eric, that's my brother's name is Eric. So it was disturbing. 361 00:16:50,040 --> 00:16:50,240 Speaker 4: Eric. 362 00:16:50,400 --> 00:16:52,000 Speaker 2: I don't think he listens to the podcast. 363 00:16:52,080 --> 00:16:55,040 Speaker 4: But they kept saying Amy and Eric Amy and Eric 364 00:16:55,080 --> 00:16:56,640 Speaker 4: I'm like, oh my god, are Eric and amiens? But 365 00:16:56,680 --> 00:16:59,320 Speaker 4: that's like my mom and dad telling us to come 366 00:16:59,360 --> 00:17:00,360 Speaker 4: to dinner weird. 367 00:17:00,480 --> 00:17:02,520 Speaker 1: So that was the only part that got weird for Robot. 368 00:17:02,880 --> 00:17:07,520 Speaker 1: Her daddy Trump kept calling Eric Amy. But it was 369 00:17:07,560 --> 00:17:09,640 Speaker 1: cool to see him standing there and the big guy, 370 00:17:09,840 --> 00:17:13,720 Speaker 1: tough guy, this military uniform. I don't know if he 371 00:17:13,800 --> 00:17:15,879 Speaker 1: knew the honor was coming, but as they were putting 372 00:17:15,880 --> 00:17:17,520 Speaker 1: it on him, you said, he is trying to keep 373 00:17:17,520 --> 00:17:17,880 Speaker 1: it together. 374 00:17:18,000 --> 00:17:19,560 Speaker 4: Oh, he had tears in his eyes. I don't think 375 00:17:19,600 --> 00:17:21,280 Speaker 4: he saw that coming. He did not know he was 376 00:17:21,280 --> 00:17:23,000 Speaker 4: getting the Medal of Honor. It was awesome. 377 00:17:23,080 --> 00:17:25,280 Speaker 1: And then the one hundred year old guy, Eve Royce Williams, 378 00:17:25,280 --> 00:17:26,960 Speaker 1: World War two vet, they honored him. He was sitting 379 00:17:27,000 --> 00:17:29,240 Speaker 1: next to Belaonnia Trump last night and they I think 380 00:17:29,240 --> 00:17:31,120 Speaker 1: he mentioned him earlier in the night and then came 381 00:17:31,200 --> 00:17:33,000 Speaker 1: back to him to give him the Medal of Honor. 382 00:17:33,040 --> 00:17:35,680 Speaker 1: They put it around his neck and that's just a sweet, wonderful, 383 00:17:35,760 --> 00:17:40,320 Speaker 1: adorable moment that you you cannot help but feel that moment. 384 00:17:40,359 --> 00:17:42,960 Speaker 1: The other one Robes that had people in tears, or 385 00:17:43,720 --> 00:17:48,200 Speaker 1: Alexandra Gonzalez, this is a young lady whose uncle ran 386 00:17:48,280 --> 00:17:50,480 Speaker 1: for office in Venezuela but was locked up by the 387 00:17:50,520 --> 00:17:54,800 Speaker 1: mad Maduro camp. This young lady apparently didn't know the 388 00:17:54,840 --> 00:17:58,840 Speaker 1: fate of her uncle. Trump is telling this story, announcing everything, 389 00:17:59,119 --> 00:18:03,560 Speaker 1: and es said that jail, we've closed it down, and 390 00:18:03,640 --> 00:18:07,919 Speaker 1: those political prisoners have been freed. But then he went further. 391 00:18:08,000 --> 00:18:10,440 Speaker 1: I didn't see the next couple of things coming, No. 392 00:18:10,520 --> 00:18:13,199 Speaker 4: He said, Alejandra, I am pleased to inform you that 393 00:18:13,240 --> 00:18:16,760 Speaker 4: not only has your uncle been released, but he's here tonight. 394 00:18:17,000 --> 00:18:19,040 Speaker 4: We brought him over to celebrate his freedom with you 395 00:18:19,160 --> 00:18:21,040 Speaker 4: in person. And then you see the two of them 396 00:18:21,400 --> 00:18:23,040 Speaker 4: see each other. I don't know how long it had 397 00:18:23,119 --> 00:18:29,520 Speaker 4: been hugging on live national television. Again, an incredible reality 398 00:18:29,560 --> 00:18:32,680 Speaker 4: TV show moment, brought to you by President Trump. 399 00:18:32,840 --> 00:18:36,040 Speaker 3: It was great TV production. Ropes. 400 00:18:36,080 --> 00:18:38,880 Speaker 1: We have worked in television for a long time. How 401 00:18:38,880 --> 00:18:41,600 Speaker 1: many surprises and things we pull off on morning shows 402 00:18:41,640 --> 00:18:43,040 Speaker 1: before we know a good one. 403 00:18:42,960 --> 00:18:44,360 Speaker 3: When we see one. 404 00:18:43,760 --> 00:18:46,480 Speaker 1: It was a good one. Well, folks, stay here. We 405 00:18:46,560 --> 00:18:50,400 Speaker 1: told you a lot of Democrats left or boycotted. Well, 406 00:18:50,720 --> 00:18:53,399 Speaker 1: we will tell you one of the best answers we 407 00:18:53,640 --> 00:18:58,359 Speaker 1: heard for why one Democrat decided to show up. Also 408 00:18:58,560 --> 00:19:03,160 Speaker 1: a couple of other darl moments, including one little girl 409 00:19:03,200 --> 00:19:06,240 Speaker 1: who's gonna have a law named after her, and another 410 00:19:06,440 --> 00:19:10,360 Speaker 1: reunion between a rescuer and the little girl he rescued. 411 00:19:20,359 --> 00:19:22,440 Speaker 1: All right, continue here on, Amy and TJ. We'll get 412 00:19:22,440 --> 00:19:24,320 Speaker 1: through these last few things here. There was so much 413 00:19:24,400 --> 00:19:26,560 Speaker 1: last night. I'm trying to remember Robes, all the stuff 414 00:19:26,560 --> 00:19:28,240 Speaker 1: we got to get to do. You need to mention 415 00:19:28,359 --> 00:19:32,640 Speaker 1: he did have the parents of the guards, the Sarah 416 00:19:32,720 --> 00:19:34,879 Speaker 1: Bestrom twenty years old killed in November. She was the 417 00:19:34,880 --> 00:19:37,040 Speaker 1: young lady part of the West Virginia National Guard who 418 00:19:37,040 --> 00:19:40,160 Speaker 1: was there on patrol in Washington, DC, had her parents 419 00:19:40,520 --> 00:19:43,480 Speaker 1: their nice touch, nice moment. The other guy who was 420 00:19:43,480 --> 00:19:46,080 Speaker 1: shot shot in the head told his story. He was 421 00:19:46,119 --> 00:19:49,320 Speaker 1: there as well and looked good and gave him a. 422 00:19:49,480 --> 00:19:52,359 Speaker 2: They both got purple hearts. Purple hearts. 423 00:19:52,760 --> 00:19:52,960 Speaker 3: Yeah. 424 00:19:53,200 --> 00:19:55,480 Speaker 2: I almost started crying watching that. 425 00:19:55,560 --> 00:19:58,199 Speaker 4: And then to give it to Sarah Beckstrom's parents as 426 00:19:58,200 --> 00:20:02,280 Speaker 4: well posthumously that just her father you said, his lip 427 00:20:02,400 --> 00:20:06,440 Speaker 4: was quivering. You could not help but feel their pain, 428 00:20:06,560 --> 00:20:10,480 Speaker 4: but also just the gratitude you were feeling towards these 429 00:20:10,520 --> 00:20:13,640 Speaker 4: parents for the service of their daughter. It was it was, 430 00:20:13,960 --> 00:20:16,879 Speaker 4: it was a real tear jerker moment. 431 00:20:17,240 --> 00:20:19,520 Speaker 1: All of these moments and again rolled I think he's 432 00:20:19,560 --> 00:20:22,679 Speaker 1: done things before in speeches where he recognized somebody that 433 00:20:23,000 --> 00:20:26,239 Speaker 1: is partisan, right, that's somebody that's with the left or 434 00:20:26,240 --> 00:20:29,560 Speaker 1: excuse me, with the right. But last night these none 435 00:20:29,600 --> 00:20:32,400 Speaker 1: of these seemed like partisan guests, right. 436 00:20:33,119 --> 00:20:35,200 Speaker 3: This look. He put on a good show last night. 437 00:20:35,200 --> 00:20:36,640 Speaker 3: The other moment Rose was wonderful. 438 00:20:36,720 --> 00:20:40,239 Speaker 1: Scott Ruskin, Coastguards swimmer who was a part of the 439 00:20:40,280 --> 00:20:42,960 Speaker 1: rescue teams that were down in the historic Texas flooding, 440 00:20:43,320 --> 00:20:45,879 Speaker 1: one hundred and sixty five rescues he performed. One of 441 00:20:45,920 --> 00:20:48,080 Speaker 1: them was of a little girl saw again for the 442 00:20:48,160 --> 00:20:50,399 Speaker 1: last first time last night they were reunited at the 443 00:20:50,400 --> 00:20:51,560 Speaker 1: Stale Union for the chills. 444 00:20:51,640 --> 00:20:54,640 Speaker 4: That's amazing, total chills, yes, and the two of them 445 00:20:54,640 --> 00:20:59,920 Speaker 4: together standing up smiling. It was it was again another moment, 446 00:21:00,200 --> 00:21:03,320 Speaker 4: like there were so many moments that you would wait for, 447 00:21:03,640 --> 00:21:05,920 Speaker 4: like it was kind of like an Oprah or I'm 448 00:21:06,000 --> 00:21:08,800 Speaker 4: just thinking like what would be the equivalent in daytime 449 00:21:08,800 --> 00:21:11,040 Speaker 4: where you saw all of these beautiful reunions and it 450 00:21:11,080 --> 00:21:11,879 Speaker 4: was all heartwarming. 451 00:21:11,960 --> 00:21:13,880 Speaker 2: It wasn't Who's the Daddy. 452 00:21:13,680 --> 00:21:18,240 Speaker 4: It was, you know, just all emotional with just this 453 00:21:18,800 --> 00:21:22,239 Speaker 4: like it was a feeling of joy and purpose, and 454 00:21:22,320 --> 00:21:24,160 Speaker 4: it was like the best of America. 455 00:21:24,280 --> 00:21:27,520 Speaker 2: He was highlighting the best of America, and it was a. 456 00:21:27,480 --> 00:21:30,520 Speaker 1: Diverse group of Americans to a certain degree, including little 457 00:21:30,960 --> 00:21:34,520 Speaker 1: Delilah Law. Yeah, let's do you one better. This adorable 458 00:21:34,520 --> 00:21:36,840 Speaker 1: little girl. Now I didn't know her story when I 459 00:21:36,880 --> 00:21:39,080 Speaker 1: saw her. Oh she's sweet. What's her story? 460 00:21:39,200 --> 00:21:40,440 Speaker 3: Well, her story. 461 00:21:40,240 --> 00:21:42,600 Speaker 1: Is she was not expected to be doing well or 462 00:21:42,640 --> 00:21:44,800 Speaker 1: even to survive after she was in a car accident. 463 00:21:45,080 --> 00:21:48,680 Speaker 1: She was hit by someone who was in the country illegally. 464 00:21:48,720 --> 00:21:51,320 Speaker 1: That's the point he was making. And now they're gonna 465 00:21:51,400 --> 00:21:54,840 Speaker 1: name a law after this little girl. Dahlailah Coleman is 466 00:21:54,880 --> 00:21:56,639 Speaker 1: her name, but she's getting a law named after her. 467 00:21:56,680 --> 00:21:59,480 Speaker 1: And to see her bouncing on her dad's leg last night, 468 00:21:59,600 --> 00:22:01,080 Speaker 1: another great TV moment. 469 00:22:01,240 --> 00:22:04,520 Speaker 4: Yeah, her smile was so sweet you could see. I mean, 470 00:22:04,680 --> 00:22:07,080 Speaker 4: just the struggle. He talked about, all the surgeries and 471 00:22:07,119 --> 00:22:10,680 Speaker 4: all the struggles and how she wasn't expected to live. 472 00:22:10,680 --> 00:22:16,400 Speaker 4: But yes, now this law, undocumented folks cannot get commercial 473 00:22:16,480 --> 00:22:19,479 Speaker 4: driver's licenses. But before I didn't realize they could if 474 00:22:19,560 --> 00:22:21,919 Speaker 4: you were in this country illegally. I had no idea, 475 00:22:21,960 --> 00:22:24,320 Speaker 4: you could go to the DMV. I can't even get 476 00:22:24,320 --> 00:22:26,960 Speaker 4: my real idea if I don't have my Social Security card, 477 00:22:27,040 --> 00:22:30,680 Speaker 4: so I'm confused how that was even possible. But no 478 00:22:30,720 --> 00:22:35,040 Speaker 4: longer can those folks who came here illegally get commercial 479 00:22:35,119 --> 00:22:36,080 Speaker 4: driver's licenses. 480 00:22:37,359 --> 00:22:38,240 Speaker 2: Kind of seems like. 481 00:22:38,240 --> 00:22:43,640 Speaker 1: That was already Yeah, all right, other few other things here. 482 00:22:44,160 --> 00:22:47,800 Speaker 1: Abigail Spamberger did the Democratic response. She had an audience 483 00:22:47,840 --> 00:22:49,480 Speaker 1: in there with her, which I said, was probably a 484 00:22:49,560 --> 00:22:51,720 Speaker 1: good move to make sure there's you break it up 485 00:22:51,760 --> 00:22:53,960 Speaker 1: with applause. At least the audience at home knows that 486 00:22:54,280 --> 00:22:56,919 Speaker 1: what was supposed to be a hard hitting line. 487 00:22:57,119 --> 00:22:59,120 Speaker 3: I can't remember another one that had a crowd. 488 00:22:58,800 --> 00:23:00,600 Speaker 2: But yeah, it was. It was, you know what it 489 00:23:00,640 --> 00:23:01,359 Speaker 2: made it. 490 00:23:01,359 --> 00:23:04,120 Speaker 4: It was still a little awkward how they abruptly stopped clapping, 491 00:23:04,400 --> 00:23:07,240 Speaker 4: like at very orchestrated moments, So that was kind of 492 00:23:07,240 --> 00:23:09,920 Speaker 4: funny and weird. However, it was a lot less weird 493 00:23:09,920 --> 00:23:13,240 Speaker 4: than seeing somebody at their kitchen table, or Marco Rubio 494 00:23:13,400 --> 00:23:15,400 Speaker 4: guzzling water because he didn't. 495 00:23:15,080 --> 00:23:18,600 Speaker 3: Get into the law zips. It's just a guzzle. 496 00:23:19,760 --> 00:23:24,720 Speaker 4: Do you think about sometimes the infamous rebuttals, This one 497 00:23:24,880 --> 00:23:25,560 Speaker 4: was not. It was. 498 00:23:25,880 --> 00:23:27,080 Speaker 2: It was fairly well done. 499 00:23:27,080 --> 00:23:29,719 Speaker 1: How'd you like the Nancy Pelosi joke? I actually smiled 500 00:23:29,760 --> 00:23:32,359 Speaker 1: a little bit, yes, because again it wasn't mean he 501 00:23:32,520 --> 00:23:35,600 Speaker 1: was smirking. Again, if you're listening, and if you don't 502 00:23:35,680 --> 00:23:37,720 Speaker 1: like Trump, you didn't like anything he did last night, 503 00:23:37,720 --> 00:23:39,639 Speaker 1: If you could just look at it objectively for a moment, 504 00:23:39,760 --> 00:23:42,679 Speaker 1: this was not one of his worst or meanest moments. 505 00:23:43,080 --> 00:23:46,399 Speaker 2: No, it wasn't. He joked about Nancy Pelosi saying they 506 00:23:46,440 --> 00:23:48,560 Speaker 2: stood up. I can't believe it. When did he was saying? 507 00:23:48,560 --> 00:23:49,760 Speaker 2: When was he saying they stood up? 508 00:23:49,760 --> 00:23:51,480 Speaker 1: He was talking about the law they want them to 509 00:23:51,480 --> 00:23:54,400 Speaker 1: pass in which there's no insider trading or whatever. Oh, yes, 510 00:23:54,440 --> 00:23:56,960 Speaker 1: they can't benefit lawmakers can't benefit from. 511 00:23:56,720 --> 00:23:59,080 Speaker 2: Correct, So he points to the Democrats. They stood up. 512 00:23:59,119 --> 00:24:01,760 Speaker 2: I can't believe it. Did Nancy Pelosi stand up? If 513 00:24:01,760 --> 00:24:02,680 Speaker 2: she's even here. 514 00:24:02,920 --> 00:24:07,120 Speaker 1: And she was, she was there, I swear I think 515 00:24:07,600 --> 00:24:10,240 Speaker 1: was it the biggest applause line he got We ended 516 00:24:10,280 --> 00:24:12,840 Speaker 1: DEI in America. It was a very big applause line. 517 00:24:12,880 --> 00:24:15,160 Speaker 1: He had a lot of energy when he delivered that line. 518 00:24:15,200 --> 00:24:18,119 Speaker 1: We do want to mention Epstein's survivors were guests didn't 519 00:24:18,119 --> 00:24:20,320 Speaker 1: see them. Actually during a lot of the coverage or 520 00:24:20,359 --> 00:24:24,080 Speaker 1: anything pointed out or talked about last night, Mark Kelly, 521 00:24:24,080 --> 00:24:25,399 Speaker 1: they showed him several times. 522 00:24:25,560 --> 00:24:27,080 Speaker 3: It's with some looks on his face. 523 00:24:27,240 --> 00:24:29,560 Speaker 4: Yeah, I thought that was kind of mean spirited by 524 00:24:29,560 --> 00:24:32,320 Speaker 4: the cameras. They were in a super close up of 525 00:24:32,359 --> 00:24:36,840 Speaker 4: his face. And obviously he has been absolutely the target 526 00:24:37,440 --> 00:24:40,240 Speaker 4: of President Trump, and certainly Pete Hegseth, who was there. 527 00:24:40,280 --> 00:24:43,000 Speaker 4: They kept showing, by the way, just this you just 528 00:24:43,080 --> 00:24:47,600 Speaker 4: you see these characters in the Trump administration obviously depicted everywhere, 529 00:24:47,600 --> 00:24:50,280 Speaker 4: and there they were all sitting together, Pam Bondi, Pete 530 00:24:50,359 --> 00:24:55,800 Speaker 4: hegg Seth, Christine Nome, they were all there together. 531 00:24:55,840 --> 00:24:57,359 Speaker 2: They kept showing that picture. 532 00:24:57,400 --> 00:24:59,119 Speaker 4: But yes, they kept going into a close up of 533 00:24:59,119 --> 00:25:03,200 Speaker 4: Mark Kelly and just obviously he had a look of disdain. 534 00:25:03,000 --> 00:25:05,040 Speaker 2: Maybe on his face for most of the evening and 535 00:25:05,080 --> 00:25:06,439 Speaker 2: they just kept zooming in on it. 536 00:25:06,720 --> 00:25:08,359 Speaker 1: We do want to mention the mom Donnie moment. He 537 00:25:08,400 --> 00:25:11,920 Speaker 1: did mention the mayor of New York complimented him and say, hey, 538 00:25:11,920 --> 00:25:13,800 Speaker 1: he's a nice guy, but then talk about how bad 539 00:25:13,840 --> 00:25:15,600 Speaker 1: of a job he's doing. He used them and again 540 00:25:16,000 --> 00:25:20,120 Speaker 1: this was funny to me. Where he's making a point 541 00:25:20,119 --> 00:25:22,040 Speaker 1: about you all don't want voter ID. And there have 542 00:25:22,119 --> 00:25:24,360 Speaker 1: plenty of problems with the voter ID law that they're 543 00:25:24,359 --> 00:25:24,960 Speaker 1: trying to pass. 544 00:25:25,119 --> 00:25:25,640 Speaker 3: We get that. 545 00:25:25,840 --> 00:25:27,760 Speaker 1: The point here is he said, how are you all 546 00:25:27,760 --> 00:25:32,440 Speaker 1: going to be against someone showing ID to vote when 547 00:25:32,480 --> 00:25:35,720 Speaker 1: you're requiring two photos, two forms of ID, and a 548 00:25:35,720 --> 00:25:38,880 Speaker 1: Social Security card for shovelers in New York? 549 00:25:39,200 --> 00:25:39,920 Speaker 3: Which is true. 550 00:25:40,040 --> 00:25:43,479 Speaker 4: Yes, And he made a point, and it was funny. 551 00:25:43,520 --> 00:25:47,520 Speaker 4: It wasn't necessarily mean spirited. It was based in fact, 552 00:25:47,600 --> 00:25:48,480 Speaker 4: and it was funny. 553 00:25:48,640 --> 00:25:51,240 Speaker 3: Listen to us, we almost sound relieved. It wasn't mean. 554 00:25:51,480 --> 00:25:54,120 Speaker 2: Yes, honestly, that's where the bar is right now. 555 00:25:54,200 --> 00:25:57,960 Speaker 4: I mean it's low low, it's like, please, please, please, 556 00:25:58,040 --> 00:26:00,840 Speaker 4: don't be mean spirited. I mean, yes, your jobs and 557 00:26:00,880 --> 00:26:04,280 Speaker 4: have some fun with it, which, honestly, it actually felt 558 00:26:04,320 --> 00:26:06,160 Speaker 4: a little bit more like and I know he hasn't 559 00:26:06,160 --> 00:26:08,760 Speaker 4: actually even attended, but the White House Correspondent Center where 560 00:26:08,800 --> 00:26:11,560 Speaker 4: the President gets up and is a little self deprecating. 561 00:26:11,560 --> 00:26:14,359 Speaker 4: Now that Trump is self deprecating, he was quite the opposite, 562 00:26:14,640 --> 00:26:20,360 Speaker 4: but having a little fun at at typically serious topics 563 00:26:20,359 --> 00:26:23,719 Speaker 4: that have created some pain and frustration. And so anyway, 564 00:26:23,760 --> 00:26:26,919 Speaker 4: it all felt very lighthearted and that was just a 565 00:26:26,960 --> 00:26:28,400 Speaker 4: welcome shift in town. 566 00:26:29,000 --> 00:26:29,760 Speaker 3: The last thing here. 567 00:26:29,840 --> 00:26:31,439 Speaker 1: Damned if you do, Damned if you don't, what are 568 00:26:31,480 --> 00:26:34,520 Speaker 1: you supposed to do? Do democrats not show up at 569 00:26:34,520 --> 00:26:37,320 Speaker 1: this thing? Plenty in the majority did? Of course. 570 00:26:37,320 --> 00:26:40,679 Speaker 3: I don't know. To each his or her own, of course, 571 00:26:42,280 --> 00:26:43,920 Speaker 3: I don't know what you do. 572 00:26:43,600 --> 00:26:47,000 Speaker 1: Do you honor the office? Do you respect the office? 573 00:26:47,000 --> 00:26:49,200 Speaker 1: Even if you don't respect the man? I don't know 574 00:26:50,040 --> 00:26:53,040 Speaker 1: what the right thing is to each his or her own? 575 00:26:53,080 --> 00:26:54,880 Speaker 3: But I did hear a CNN was. 576 00:26:54,840 --> 00:26:59,200 Speaker 1: Reporting Elizabeth Warren obviously is no fan the President Trump. 577 00:26:59,280 --> 00:27:01,600 Speaker 3: That No, I think that's. 578 00:27:01,400 --> 00:27:03,200 Speaker 2: A fact, right, that's definitely a fact. 579 00:27:03,560 --> 00:27:06,840 Speaker 1: Yes, we have good sources on that. She attended last night. 580 00:27:06,880 --> 00:27:09,320 Speaker 1: And I can't remember which scenem reporter was saying it, 581 00:27:09,359 --> 00:27:11,080 Speaker 1: but said talk to her like, wow, you don't like 582 00:27:11,119 --> 00:27:13,520 Speaker 1: this president. Why did you show up? And this is 583 00:27:13,600 --> 00:27:16,159 Speaker 1: kind of what she said. I'm here to represent the 584 00:27:16,200 --> 00:27:19,680 Speaker 1: people of my state of Massachusetts. And if the president, 585 00:27:20,280 --> 00:27:22,920 Speaker 1: we know he's gonna lie, but he's gonna lie, I'll 586 00:27:22,920 --> 00:27:24,399 Speaker 1: come and make him lie to my face. 587 00:27:24,960 --> 00:27:25,680 Speaker 2: It's a good answer. 588 00:27:26,119 --> 00:27:28,560 Speaker 3: I mean, that's the best you can do. I mean, 589 00:27:28,560 --> 00:27:29,480 Speaker 3: you're there for what. 590 00:27:29,600 --> 00:27:32,320 Speaker 1: I don't know, rogues what you do here, but it 591 00:27:32,359 --> 00:27:34,399 Speaker 1: was a display of where we are last night. This 592 00:27:34,520 --> 00:27:36,879 Speaker 1: was not a State of the Union dress. I'm not 593 00:27:36,920 --> 00:27:38,560 Speaker 1: sure what the state of our union is, but I'm 594 00:27:38,600 --> 00:27:40,000 Speaker 1: sure how I know how the president. 595 00:27:40,000 --> 00:27:44,439 Speaker 4: People were hotter than ever before, hot over the hottest country. 596 00:27:44,480 --> 00:27:45,960 Speaker 2: We were dead, but now we're hot. 597 00:27:46,119 --> 00:27:46,720 Speaker 3: We're bad. 598 00:27:47,119 --> 00:27:50,960 Speaker 1: That's what we got out of it. Also, hockey team 599 00:27:51,000 --> 00:27:54,320 Speaker 1: is awesome. That's what I got out of it. But folks, 600 00:27:54,320 --> 00:27:56,720 Speaker 1: again we say it, please don't misunderstand. It was the 601 00:27:56,720 --> 00:27:58,560 Speaker 1: best show we have ever seen at a State of 602 00:27:58,560 --> 00:28:02,440 Speaker 1: the Union. Yes, the best show. The speech, I don't 603 00:28:02,440 --> 00:28:04,800 Speaker 1: even remember much of it if you can get that 604 00:28:04,880 --> 00:28:06,920 Speaker 1: other places. But folks, we appreciate you is always spending 605 00:28:06,960 --> 00:28:08,240 Speaker 1: some time with us. I am T. J. 606 00:28:08,359 --> 00:28:11,280 Speaker 3: Holmes on behalf of my dear Amy Robot, who will 607 00:28:11,280 --> 00:28:11,800 Speaker 3: talk to the Also