1 00:00:05,200 --> 00:00:10,360 Speaker 1: Lie from Baal Heartland and the crossroads of America. 2 00:00:10,560 --> 00:00:12,000 Speaker 2: It's Tony Katz today. 3 00:00:12,600 --> 00:00:15,560 Speaker 3: So we've got the continued reaction from the State of 4 00:00:15,600 --> 00:00:19,439 Speaker 3: the Union, and the reaction is very clear. Democrats don't 5 00:00:19,440 --> 00:00:21,680 Speaker 3: know how to react, they don't know how to deal 6 00:00:21,720 --> 00:00:23,880 Speaker 3: with the situation in the room. I think there's a 7 00:00:23,920 --> 00:00:27,520 Speaker 3: real issue here with leadership. But there is no question 8 00:00:27,600 --> 00:00:30,240 Speaker 3: that here we are now two days removed from the 9 00:00:30,280 --> 00:00:33,680 Speaker 3: State of the Union, and Democrats, I think have realized 10 00:00:33,880 --> 00:00:37,440 Speaker 3: that they've got a problem from this. Tony Katz, Tony 11 00:00:37,560 --> 00:00:39,639 Speaker 3: Katz today, Good to be here, Good to be with you. 12 00:00:39,960 --> 00:00:43,200 Speaker 3: Ed Marcy joins me right now from hotair dot com 13 00:00:43,240 --> 00:00:45,599 Speaker 3: where he is the coappo to Touty Coppo. I want 14 00:00:45,640 --> 00:00:47,279 Speaker 3: to get into the State of the Union, but can 15 00:00:47,320 --> 00:00:51,240 Speaker 3: I get to something you wrote first. You are over 16 00:00:51,280 --> 00:00:54,680 Speaker 3: there at hot air dot com and you write a 17 00:00:54,720 --> 00:01:02,160 Speaker 3: piece about rats on sunken drugs show, which is one 18 00:01:02,200 --> 00:01:06,120 Speaker 3: of the great headlines of all time, regime Coppos turning 19 00:01:06,240 --> 00:01:08,160 Speaker 3: former on Nicholas Maduro. 20 00:01:09,360 --> 00:01:10,880 Speaker 2: Also from the State of the Union. 21 00:01:11,000 --> 00:01:14,560 Speaker 3: We've got people not happy that Nicholas Maduro was captured. 22 00:01:14,640 --> 00:01:18,080 Speaker 3: You've got people still thinking that somehow this was ill timed, 23 00:01:18,160 --> 00:01:21,480 Speaker 3: ill mannered, or illegal. But what is it that we're 24 00:01:21,520 --> 00:01:28,399 Speaker 3: hearing regarding people who are part of the regime turning 25 00:01:28,440 --> 00:01:29,520 Speaker 3: on him. 26 00:01:30,440 --> 00:01:32,640 Speaker 1: Well, I mean, it's interesting because these are people who 27 00:01:32,680 --> 00:01:35,440 Speaker 1: are already in custody here in the United States. These 28 00:01:35,440 --> 00:01:39,400 Speaker 1: are this case has been developed over several years against 29 00:01:39,480 --> 00:01:41,520 Speaker 1: Nicholas Maduro, that's been going on for a long time, 30 00:01:41,520 --> 00:01:44,039 Speaker 1: and we already have a couple of the you know, 31 00:01:44,160 --> 00:01:47,520 Speaker 1: regime coppos in custody. They're doing hard time. One of 32 00:01:47,600 --> 00:01:48,840 Speaker 1: them is doing twenty two years. 33 00:01:50,320 --> 00:01:50,920 Speaker 2: They went out. 34 00:01:51,280 --> 00:01:54,680 Speaker 1: They want to cut a deal. Now that they have Maduro, 35 00:01:54,880 --> 00:01:57,960 Speaker 1: now that we have a duro, they have information that 36 00:01:57,960 --> 00:01:59,960 Speaker 1: they can trade, and so that's what they're trying to do. 37 00:02:00,080 --> 00:02:03,640 Speaker 1: This is exactly how the FBI and the Department of 38 00:02:03,800 --> 00:02:07,480 Speaker 1: Justice build cases in organized crime cases, and that's what 39 00:02:07,520 --> 00:02:10,120 Speaker 1: this is. It's an organized crime case. They're going to 40 00:02:10,160 --> 00:02:13,960 Speaker 1: start rolling up some of the people underneath Maduro, the 41 00:02:13,960 --> 00:02:17,760 Speaker 1: people who can actually say he directly did this. He 42 00:02:17,800 --> 00:02:20,400 Speaker 1: directly said this. You know, no buffers, you know, like 43 00:02:20,440 --> 00:02:22,799 Speaker 1: from Godfather part too, and let's got a load of buffers. 44 00:02:24,360 --> 00:02:27,120 Speaker 1: You won't have that with these people because they dealt 45 00:02:27,120 --> 00:02:31,200 Speaker 1: directly with Maduro. Now, the question is, as it always 46 00:02:31,240 --> 00:02:33,800 Speaker 1: is in these cases, is are these people just making 47 00:02:33,800 --> 00:02:35,560 Speaker 1: stuff up just so they can get out of prison 48 00:02:36,320 --> 00:02:39,160 Speaker 1: or at least have a commutation of their sentences, or 49 00:02:39,200 --> 00:02:41,239 Speaker 1: do they really have the goods? And just like any 50 00:02:41,240 --> 00:02:43,120 Speaker 1: other case, this is a criminal case. It's going to 51 00:02:43,160 --> 00:02:46,640 Speaker 1: be tried in federal court. You have to have evidence 52 00:02:47,840 --> 00:02:52,480 Speaker 1: that corroborates testimony from co conspirators. In these types of cases, 53 00:02:52,760 --> 00:02:54,520 Speaker 1: you can't just accept the testimony. You have to have 54 00:02:54,560 --> 00:02:58,560 Speaker 1: some corroboration of that evidentiary corroboration. My guess is that 55 00:02:58,600 --> 00:03:03,480 Speaker 1: the FBI probably has all it needs to uh ex meme. 56 00:03:03,520 --> 00:03:06,399 Speaker 1: The Department of Justice has all it needs to prosecute Maduro. 57 00:03:06,800 --> 00:03:10,720 Speaker 1: But all this helps, and it certainly puts pressure on 58 00:03:10,840 --> 00:03:13,880 Speaker 1: other co conspirators to come forward and cut does it. 59 00:03:13,919 --> 00:03:16,600 Speaker 3: Does it put pressure on Delsa Rodriguez, the current vice 60 00:03:16,600 --> 00:03:19,520 Speaker 3: president and acting president of Venezuela. Does it put pressure 61 00:03:19,840 --> 00:03:21,960 Speaker 3: on others in the regime, because we still haven't gotten 62 00:03:21,960 --> 00:03:23,600 Speaker 3: to the place that I think we need to be too, 63 00:03:23,880 --> 00:03:26,119 Speaker 3: which is actual regime change in Venezuela so the people 64 00:03:26,120 --> 00:03:29,080 Speaker 3: of Venezuela can have a better life. Because this is 65 00:03:29,120 --> 00:03:33,160 Speaker 3: only step one, and it was cheered as a great, huge, massive, wonderful, 66 00:03:33,200 --> 00:03:34,440 Speaker 3: glorious first step. 67 00:03:35,000 --> 00:03:37,200 Speaker 2: But does it put pressure that way? 68 00:03:37,320 --> 00:03:39,160 Speaker 3: Does it get Is there a thought that's going to 69 00:03:39,200 --> 00:03:42,080 Speaker 3: give information that would make the administration say, way, we can't, 70 00:03:42,120 --> 00:03:45,360 Speaker 3: we can't work with you, Rodriguez, We can't work with 71 00:03:45,520 --> 00:03:46,240 Speaker 3: any of you people. 72 00:03:46,280 --> 00:03:48,440 Speaker 2: Look at what you did, which they've done a lot 73 00:03:48,440 --> 00:03:48,880 Speaker 2: of stuff. 74 00:03:49,560 --> 00:03:52,400 Speaker 1: I think that what it does is it might make 75 00:03:52,800 --> 00:03:56,760 Speaker 1: Rodriguez more likely to agree to things like free and 76 00:03:56,800 --> 00:04:02,920 Speaker 1: fair elections in return for certain non prosecutorial considerations down 77 00:04:02,960 --> 00:04:03,320 Speaker 1: the road. 78 00:04:05,400 --> 00:04:05,720 Speaker 2: It does. 79 00:04:06,400 --> 00:04:08,320 Speaker 1: I think it puts pressure that way, and I think 80 00:04:08,360 --> 00:04:13,040 Speaker 1: that that type of regime change is easier on the 81 00:04:13,120 --> 00:04:15,000 Speaker 1: United States. If you can get to a point where 82 00:04:15,000 --> 00:04:17,000 Speaker 1: they can hold a free and fair election and that 83 00:04:17,080 --> 00:04:22,320 Speaker 1: the results of that election are honored, and you change 84 00:04:22,360 --> 00:04:25,720 Speaker 1: regimes that way, that's the cleanest, least violent way of 85 00:04:25,800 --> 00:04:30,320 Speaker 1: doing it. It's an easier transition, and I think that's 86 00:04:30,400 --> 00:04:32,640 Speaker 1: what the White House would prefer, it to what any 87 00:04:32,640 --> 00:04:34,640 Speaker 1: White House would prefer. Frankly, I don't think any White 88 00:04:34,640 --> 00:04:36,200 Speaker 1: House would prefer to do it by force. If they 89 00:04:36,240 --> 00:04:39,080 Speaker 1: can figure out a way to pressure the people who 90 00:04:39,080 --> 00:04:44,360 Speaker 1: are holding onto power into relinquishing it non violently. So 91 00:04:44,400 --> 00:04:47,679 Speaker 1: I mean, it just makes sense to try that first. 92 00:04:48,760 --> 00:04:52,240 Speaker 1: We've made the point by grabbing Maduro. Everybody now there 93 00:04:52,279 --> 00:04:54,720 Speaker 1: has woken up and said the United States is going 94 00:04:54,760 --> 00:04:57,839 Speaker 1: to continue acting unless we straighten up. So yeah, I 95 00:04:57,839 --> 00:05:01,440 Speaker 1: think that this prosecution process is a way of saying, look, 96 00:05:01,760 --> 00:05:04,520 Speaker 1: we can protect you from further prosecution, but you got 97 00:05:04,560 --> 00:05:06,720 Speaker 1: to work with us. And I think that that is 98 00:05:07,440 --> 00:05:10,680 Speaker 1: in the light of US capturing Maduro, a pretty powerful statement. 99 00:05:10,839 --> 00:05:16,440 Speaker 1: Also in light of Cuba withdrawing its security force, ultimately 100 00:05:16,520 --> 00:05:19,600 Speaker 1: useless security forces from Venezuela, those people are no longer 101 00:05:19,600 --> 00:05:23,880 Speaker 1: getting Cuban protection anymore. And understand that the US has 102 00:05:23,960 --> 00:05:28,200 Speaker 1: pretty much free range of options militarily speaking and dealing 103 00:05:28,240 --> 00:05:29,520 Speaker 1: with this regetting. 104 00:05:29,000 --> 00:05:32,080 Speaker 3: On what happened with this boat out of Florida and 105 00:05:32,160 --> 00:05:37,320 Speaker 3: the killing for the shooting that took place off the 106 00:05:37,360 --> 00:05:41,120 Speaker 3: coast of Cuba by the Cubans, the Cubans might need 107 00:05:41,240 --> 00:05:45,120 Speaker 3: their own protection. Talking to Ed Morrissey of hotair dot com, 108 00:05:45,200 --> 00:05:47,000 Speaker 3: let me move it to the state of the Union. 109 00:05:47,839 --> 00:05:51,120 Speaker 3: By golly you right, Trump moved the needle last night. 110 00:05:51,200 --> 00:05:52,520 Speaker 3: You put this out yesterday. 111 00:05:52,560 --> 00:05:54,240 Speaker 2: I was there in the room. I was there at 112 00:05:54,240 --> 00:05:56,640 Speaker 2: the State of the e that's awesome. 113 00:05:56,040 --> 00:06:01,480 Speaker 3: And I make the same point that Trump did move 114 00:06:01,520 --> 00:06:05,240 Speaker 3: the needle. That Trump was seen as putting out a 115 00:06:05,320 --> 00:06:08,800 Speaker 3: message of positivity and there are these good things actually 116 00:06:08,880 --> 00:06:11,239 Speaker 3: happening in America, and it's good to cheer good things 117 00:06:11,279 --> 00:06:16,000 Speaker 3: happening in America. And he more moved the needle, not 118 00:06:16,080 --> 00:06:19,240 Speaker 3: even by what he said, but why, but by what 119 00:06:19,680 --> 00:06:23,320 Speaker 3: Democrats did talk to me about what you saw in 120 00:06:23,360 --> 00:06:24,520 Speaker 3: this CNN polling. 121 00:06:25,160 --> 00:06:27,440 Speaker 1: So first off, you have to understand the context of 122 00:06:27,480 --> 00:06:29,800 Speaker 1: the CNN poll. This is a poll of people who 123 00:06:29,839 --> 00:06:32,840 Speaker 1: actually watched the State of the Union address, and what 124 00:06:33,000 --> 00:06:38,920 Speaker 1: that does is it limits the predictability. I guess you 125 00:06:38,920 --> 00:06:43,000 Speaker 1: can say of what the poll means. When you're talking 126 00:06:43,000 --> 00:06:45,560 Speaker 1: about State of the Union addresses, the people who tune 127 00:06:45,600 --> 00:06:48,960 Speaker 1: in are largely, almost entirely the people who agree with 128 00:06:49,000 --> 00:06:51,159 Speaker 1: the president who's delivering the speech. So this is a 129 00:06:51,200 --> 00:06:54,080 Speaker 1: Trump audience, and when Biden was delivering, it was a 130 00:06:54,120 --> 00:06:58,000 Speaker 1: Biden audience. And so usually presidents scored pretty well on 131 00:06:58,080 --> 00:07:01,560 Speaker 1: these types of poles because they are talking to their 132 00:07:01,760 --> 00:07:04,480 Speaker 1: own base. Now, what was interesting about this is that 133 00:07:04,520 --> 00:07:06,799 Speaker 1: the poll went up ten points even among that base 134 00:07:07,000 --> 00:07:10,680 Speaker 1: as to how confident they felt about Trump's policy. So 135 00:07:10,720 --> 00:07:12,400 Speaker 1: we really did move the needle among his base, and 136 00:07:12,400 --> 00:07:15,000 Speaker 1: that was one of the things that he needed to 137 00:07:15,080 --> 00:07:18,080 Speaker 1: do going into the mid terms. That actually is important. 138 00:07:18,080 --> 00:07:20,080 Speaker 1: You just have to understand the limitations of it. But 139 00:07:20,120 --> 00:07:24,880 Speaker 1: i'll tell you the other thing. I think that Trump 140 00:07:25,040 --> 00:07:27,480 Speaker 1: wasn't just saying good things happen in America. He was 141 00:07:27,600 --> 00:07:30,720 Speaker 1: really laying out a very different vision from what the 142 00:07:30,760 --> 00:07:34,040 Speaker 1: left offers of America. The left is for decades now, 143 00:07:34,120 --> 00:07:38,320 Speaker 1: the left has offered this vision of America as a colonizer, 144 00:07:38,680 --> 00:07:43,360 Speaker 1: as an abuser, as a slavery state, and that we 145 00:07:43,360 --> 00:07:46,560 Speaker 1: should be paying reparations, that we should be apologizing. And 146 00:07:46,640 --> 00:07:50,400 Speaker 1: Donald Trump very clearly was laying out his vision that 147 00:07:50,440 --> 00:07:53,400 Speaker 1: America is a nation of heroes. America's a nation of vision, 148 00:07:53,480 --> 00:07:56,560 Speaker 1: America's a nation of liberty. That's the point of having 149 00:07:56,640 --> 00:08:00,000 Speaker 1: all of those military heroes up there receiving the congres 150 00:08:00,040 --> 00:08:05,080 Speaker 1: Essonal Medal of Honor, or the Purple Hearts, or the 151 00:08:05,160 --> 00:08:09,240 Speaker 1: Legion of Merit in the case of the Coastguard, the 152 00:08:09,280 --> 00:08:13,640 Speaker 1: Coast guardsman who rescued those kids here in Texas. I 153 00:08:13,680 --> 00:08:15,400 Speaker 1: mean it's all moving and you want to have that 154 00:08:15,440 --> 00:08:18,320 Speaker 1: sort of good feeling. But this was a theme, and 155 00:08:18,360 --> 00:08:20,480 Speaker 1: I think people maybe it may have overlooked. This theme 156 00:08:20,560 --> 00:08:22,840 Speaker 1: is that Donald Trump is offering a very different vision 157 00:08:22,880 --> 00:08:25,760 Speaker 1: of America than the left is. We're a nation of heroes, 158 00:08:25,800 --> 00:08:28,440 Speaker 1: were a nation of liberty, We're a nation of courage, 159 00:08:28,840 --> 00:08:31,720 Speaker 1: and we're a nation that's defended Western civilization for the 160 00:08:31,800 --> 00:08:32,640 Speaker 1: last several decades. 161 00:08:32,960 --> 00:08:36,200 Speaker 3: Let's let's make it a little more I'll use the 162 00:08:36,200 --> 00:08:39,839 Speaker 3: word simplistic. How about the idea that America is good 163 00:08:39,920 --> 00:08:42,160 Speaker 3: and has good people, and we should celebrate good and 164 00:08:42,240 --> 00:08:46,280 Speaker 3: good people, which is a massive fundamental shift from the 165 00:08:46,280 --> 00:08:49,760 Speaker 3: political left, where everything America is bad, everything America is terrible, 166 00:08:49,920 --> 00:08:54,480 Speaker 3: and they engage that inculcation, if that's the correct word, 167 00:08:54,520 --> 00:08:56,280 Speaker 3: going into starting from grade school. 168 00:08:57,240 --> 00:09:01,319 Speaker 1: Yes, again, this is a bit. It was a vision statement. 169 00:09:01,360 --> 00:09:04,959 Speaker 1: It was a vision statement. I really liked that part 170 00:09:05,000 --> 00:09:07,080 Speaker 1: of this speech. I thought he did it very well. 171 00:09:07,640 --> 00:09:11,280 Speaker 1: He did it remarkably subtly. I think he didn't He 172 00:09:11,280 --> 00:09:13,680 Speaker 1: didn't come out and say this is you know, this 173 00:09:13,760 --> 00:09:17,440 Speaker 1: is the vision. He just contrasted it with the narratives 174 00:09:17,440 --> 00:09:20,079 Speaker 1: that the left keeps spinning and the left and the left. 175 00:09:20,600 --> 00:09:22,640 Speaker 1: We've talked about walking into traps, and there were traps. 176 00:09:22,720 --> 00:09:25,040 Speaker 1: There was at least one major trap that Donald Trump said, 177 00:09:25,040 --> 00:09:27,240 Speaker 1: and that was on immigration. But this is a trap 178 00:09:27,280 --> 00:09:30,080 Speaker 1: too that they keep walking into. He's showing heroes and 179 00:09:30,120 --> 00:09:34,520 Speaker 1: they're yelling, you know, obscenities from the floor of the 180 00:09:34,600 --> 00:09:38,440 Speaker 1: joint session. That itself is a major contrast. And you 181 00:09:38,440 --> 00:09:40,800 Speaker 1: were there. You heard the obscenities that they were shouting 182 00:09:40,800 --> 00:09:41,400 Speaker 1: from the floor. 183 00:09:42,280 --> 00:09:45,640 Speaker 3: So the talking to Ed Marscy of hotair dot com, 184 00:09:46,120 --> 00:09:50,559 Speaker 3: they were shouting obscenities. I'm telling you, I saw Representative 185 00:09:50,559 --> 00:09:54,560 Speaker 3: ilhan O mar call President Trump out loud, a sick 186 00:09:54,640 --> 00:09:55,800 Speaker 3: blank sick f forort. 187 00:09:55,960 --> 00:09:56,560 Speaker 2: She said it. 188 00:09:57,000 --> 00:09:59,280 Speaker 3: I will go to my grave with that. In terms 189 00:09:59,280 --> 00:10:01,120 Speaker 3: of saying it, I don't care if she wants to 190 00:10:01,160 --> 00:10:01,960 Speaker 3: try and deny it. 191 00:10:02,440 --> 00:10:05,439 Speaker 2: I was in the room. I was on the backside. 192 00:10:05,480 --> 00:10:08,160 Speaker 3: I'm behind Trump for the day of the Union, which, 193 00:10:08,320 --> 00:10:11,839 Speaker 3: by the way, how dare you, mister President me front 194 00:10:11,840 --> 00:10:12,360 Speaker 3: and center? 195 00:10:13,320 --> 00:10:14,319 Speaker 2: What are we talking? 196 00:10:14,400 --> 00:10:17,880 Speaker 3: You tell Rubio moved to the left, cats boom right there. 197 00:10:18,559 --> 00:10:20,840 Speaker 2: But I was there and I saw her say it. 198 00:10:20,920 --> 00:10:21,959 Speaker 2: I saw it happen. 199 00:10:22,120 --> 00:10:25,480 Speaker 3: I saw her and Rashida to leave with the commentaries 200 00:10:25,520 --> 00:10:28,160 Speaker 3: and laughing inappropriately at times when they were on their 201 00:10:28,200 --> 00:10:31,000 Speaker 3: phones and all the rest, which, by the way, I 202 00:10:31,000 --> 00:10:33,600 Speaker 3: don't know how members are left phones in the chamber 203 00:10:33,840 --> 00:10:37,240 Speaker 3: during an event like this. It's it's completely insane. But 204 00:10:37,320 --> 00:10:40,240 Speaker 3: we talk about the left walking into traps, we talk 205 00:10:40,320 --> 00:10:44,280 Speaker 3: about the left failing to meet moments. Certainly you didn't 206 00:10:44,360 --> 00:10:47,680 Speaker 3: know that the president was going to have some kind 207 00:10:47,720 --> 00:10:51,240 Speaker 3: of really gotcha moment of do you support the American 208 00:10:51,280 --> 00:10:55,040 Speaker 3: citizen or not? The idea that you weren't prepared for 209 00:10:55,120 --> 00:10:58,360 Speaker 3: that moment, and it was It reminded me very much. 210 00:10:58,480 --> 00:11:01,680 Speaker 3: You know, I often will watch something and I'll be like, 211 00:11:01,720 --> 00:11:03,520 Speaker 3: you know what, Atlas Shrugged is a really good book 212 00:11:04,120 --> 00:11:06,200 Speaker 3: that there you are at the end of Atlas Shrugged, 213 00:11:06,240 --> 00:11:08,520 Speaker 3: and here's this guard. Will he save his own life 214 00:11:08,640 --> 00:11:11,760 Speaker 3: or not? With he and he's frozen in this terror 215 00:11:11,960 --> 00:11:13,080 Speaker 3: of does he do this or. 216 00:11:13,080 --> 00:11:13,559 Speaker 2: Does he do that? 217 00:11:13,600 --> 00:11:15,160 Speaker 3: Because he doesn't know how to act and no one's 218 00:11:15,160 --> 00:11:18,160 Speaker 3: told him what to do. And that was these leftists. 219 00:11:18,440 --> 00:11:20,800 Speaker 3: You knew the answer, you stand up for the citizen, 220 00:11:21,120 --> 00:11:22,160 Speaker 3: but you couldn't stand up for. 221 00:11:22,160 --> 00:11:25,480 Speaker 2: The citizen because your party doesn't actually believe in such things. 222 00:11:26,040 --> 00:11:28,920 Speaker 3: So as a matter of you know, the the speech 223 00:11:28,960 --> 00:11:31,240 Speaker 3: being for of those who are watching, they're already Trump people. 224 00:11:31,480 --> 00:11:33,080 Speaker 3: I don't know if I'm one hundred percent there with 225 00:11:33,120 --> 00:11:36,120 Speaker 3: you on that, but as moral mostly. 226 00:11:35,760 --> 00:11:38,560 Speaker 1: Mostly, I mean, obviously people tune in for all sorts 227 00:11:38,559 --> 00:11:42,560 Speaker 1: of different reasons, but it's you know, these are usually 228 00:11:42,640 --> 00:11:45,120 Speaker 1: pretty self selecting audiences. You just have to be careful 229 00:11:45,120 --> 00:11:48,040 Speaker 1: when you're looking at these viewer polls. Otherwise, I mean, 230 00:11:48,200 --> 00:11:50,400 Speaker 1: these these moments are going to be propagated all over 231 00:11:50,400 --> 00:11:52,360 Speaker 1: the place. Everybody's going to see them eventually. 232 00:11:52,559 --> 00:11:56,719 Speaker 3: That justice you're going there, people, independence moderates are going 233 00:11:56,760 --> 00:11:59,680 Speaker 3: to watch this and others, even the leftists are going 234 00:11:59,720 --> 00:12:03,240 Speaker 3: to watch just to be like, oh my gosh, it's bad, man, 235 00:12:04,000 --> 00:12:06,680 Speaker 3: It's really bad. What I want to understand is I 236 00:12:06,720 --> 00:12:09,480 Speaker 3: want your take on how does how do you view 237 00:12:09,559 --> 00:12:12,960 Speaker 3: the political right turning this into midterm electoral victory. 238 00:12:13,840 --> 00:12:15,800 Speaker 1: I think that you have to clip that and play 239 00:12:15,840 --> 00:12:19,720 Speaker 1: it over and over and over again between now and November. 240 00:12:19,760 --> 00:12:21,760 Speaker 1: This is what the Democrats stand for. This is what 241 00:12:21,800 --> 00:12:25,120 Speaker 1: we stand for. This is I mean the people who 242 00:12:25,160 --> 00:12:27,920 Speaker 1: came up with the ad Kamala is for they, then 243 00:12:28,440 --> 00:12:31,760 Speaker 1: Donald Trump is for Donald Trump. Is for us. Right, 244 00:12:31,920 --> 00:12:34,000 Speaker 1: that was a very effective bad You can do the 245 00:12:34,000 --> 00:12:35,960 Speaker 1: same thing with this ad, and they should, and they 246 00:12:35,960 --> 00:12:39,720 Speaker 1: should do They should do it with the immigration question, 247 00:12:39,800 --> 00:12:42,160 Speaker 1: which was very clearly the trap. They should also do 248 00:12:42,200 --> 00:12:46,080 Speaker 1: it with the refusal to stand after the mother of 249 00:12:46,120 --> 00:12:51,280 Speaker 1: Arena Zarotsko was highlighted in Donald Trump's speech and he says, 250 00:12:51,280 --> 00:12:53,079 Speaker 1: We're going to get justice for Arena. We're going to 251 00:12:53,120 --> 00:12:56,679 Speaker 1: get justice for you. And he looked around, and I 252 00:12:56,760 --> 00:12:58,880 Speaker 1: actually think he was surprised by this. I do too 253 00:12:58,920 --> 00:13:03,240 Speaker 1: clearly set up the immigration one, but I think he 254 00:13:03,280 --> 00:13:05,600 Speaker 1: was actually surprised by this. He looked over at them 255 00:13:05,640 --> 00:13:07,320 Speaker 1: and said, how do you not stand? How do you 256 00:13:07,400 --> 00:13:12,280 Speaker 1: not stand? Because this is the problem, and this is 257 00:13:12,320 --> 00:13:15,559 Speaker 1: the reason why the traps worked, is that the Democrats 258 00:13:15,559 --> 00:13:18,240 Speaker 1: have continued to go all in on the Donald Trump 259 00:13:18,320 --> 00:13:20,840 Speaker 1: is illegitimate argument. Even though we won the election with 260 00:13:20,880 --> 00:13:24,719 Speaker 1: the popular vote, this time, they are still hacking. Jeffries 261 00:13:24,840 --> 00:13:28,200 Speaker 1: is calling him the so called president. Anything he does, 262 00:13:28,240 --> 00:13:30,480 Speaker 1: they have to do the opposite. They have to give 263 00:13:30,520 --> 00:13:33,480 Speaker 1: the automatic gainsay of anything he says or does. And 264 00:13:33,520 --> 00:13:36,680 Speaker 1: so if he says, you know, water is wet, they'll 265 00:13:38,360 --> 00:13:41,120 Speaker 1: they'll they'll question it right. If he said we're going 266 00:13:41,200 --> 00:13:43,760 Speaker 1: to get justice for Arena Zarutzka, they're going to sit 267 00:13:43,840 --> 00:13:47,720 Speaker 1: on their hands, even though there's no reason to do that. 268 00:13:48,600 --> 00:13:54,160 Speaker 1: It's sheer malice and those moments are going to matter 269 00:13:54,240 --> 00:13:59,280 Speaker 1: if the Republicans use them wisely in this upcoming election. 270 00:13:59,679 --> 00:14:02,719 Speaker 3: To Ed Marcy of hotair dot com, be sure to 271 00:14:02,800 --> 00:14:05,720 Speaker 3: check things out there. Become a VIP because that way 272 00:14:05,960 --> 00:14:07,920 Speaker 3: Ed can afford all the nice shirts. 273 00:14:09,360 --> 00:14:09,760 Speaker 2: Thank you. 274 00:14:10,200 --> 00:14:14,760 Speaker 3: I think that that is the right and of stute 275 00:14:14,800 --> 00:14:19,480 Speaker 3: observation that Trump was actually shocked by what it is 276 00:14:20,000 --> 00:14:23,120 Speaker 3: that he saw. I think the question for us is 277 00:14:23,720 --> 00:14:28,160 Speaker 3: we're Democrats shocked by what they saw it. You listen, 278 00:14:28,200 --> 00:14:30,280 Speaker 3: we have been doing this a long time, you and I, 279 00:14:30,360 --> 00:14:33,800 Speaker 3: but you from a different angle. And there is a 280 00:14:33,840 --> 00:14:36,600 Speaker 3: consultant class that you have spoken to and you have interviewed, 281 00:14:36,600 --> 00:14:40,320 Speaker 3: and you've got information from. And while they disagree with us, 282 00:14:40,400 --> 00:14:43,840 Speaker 3: they also understand the body politic the people in a 283 00:14:43,840 --> 00:14:48,360 Speaker 3: way that maybe sometimes the candidate does not. Did that 284 00:14:48,520 --> 00:14:51,600 Speaker 3: class of people, that consultant class, look at this and 285 00:14:51,640 --> 00:14:56,640 Speaker 3: say just fine, or did they take their the heel 286 00:14:56,680 --> 00:14:59,360 Speaker 3: of their hands, hit their head and say what is 287 00:14:59,480 --> 00:15:00,360 Speaker 3: happening here? 288 00:15:01,680 --> 00:15:03,520 Speaker 1: I think the latter. I mean, I've seen some of 289 00:15:03,560 --> 00:15:06,920 Speaker 1: the reactions from some of even some of the progressive 290 00:15:07,000 --> 00:15:11,760 Speaker 1: commentary class were wondering how they got walked into that trap, 291 00:15:11,880 --> 00:15:16,640 Speaker 1: the immigration trap specifically now, because they knew what was coming, 292 00:15:16,680 --> 00:15:18,440 Speaker 1: they had to note was coming. Trump was going to 293 00:15:18,440 --> 00:15:21,760 Speaker 1: talk about immigration. I think that what they were expecting 294 00:15:21,840 --> 00:15:23,440 Speaker 1: was that they were going to be able to heckle Trump, 295 00:15:23,640 --> 00:15:26,400 Speaker 1: and Trump was just going to be sort of cowed 296 00:15:26,440 --> 00:15:29,480 Speaker 1: by his recent you know, polling numbers, and Trump was 297 00:15:29,560 --> 00:15:31,240 Speaker 1: just going to just try to, you know, muddle through 298 00:15:31,240 --> 00:15:34,200 Speaker 1: a speech and get get off the stage. I do 299 00:15:34,320 --> 00:15:36,480 Speaker 1: not think that they thought he was going to come 300 00:15:36,480 --> 00:15:37,880 Speaker 1: out guns blazing. 301 00:15:37,920 --> 00:15:38,320 Speaker 2: I don't know. 302 00:15:38,440 --> 00:15:40,960 Speaker 1: I don't know why they didn't think this, but they 303 00:15:41,000 --> 00:15:43,160 Speaker 1: didn't think that he was going to come out guns placing. 304 00:15:43,240 --> 00:15:45,080 Speaker 1: This is the thing I was talking to you about earlier. 305 00:15:45,880 --> 00:15:48,920 Speaker 1: Why would you yell at somebody who's got the microphone 306 00:15:48,960 --> 00:15:52,040 Speaker 1: from you know, from the from the Peanut Gallery, literally 307 00:15:52,040 --> 00:15:55,680 Speaker 1: from the Peanut Gallery, right? You have? You mentioned elan 308 00:15:55,720 --> 00:15:59,720 Speaker 1: Omer screaming, you know, epithets. She doesn't have a mic. 309 00:16:00,360 --> 00:16:03,360 Speaker 1: You know. It may have sounded interesting in the chamber itself, 310 00:16:03,400 --> 00:16:06,400 Speaker 1: but on television all you heard was Trump yelling back, 311 00:16:06,480 --> 00:16:10,480 Speaker 1: you should be ashamed, You should be ashamed. He went 312 00:16:10,600 --> 00:16:12,600 Speaker 1: after them, and I don't think that they were I 313 00:16:12,640 --> 00:16:16,600 Speaker 1: don't think they even conceived of him using that. As 314 00:16:16,880 --> 00:16:18,680 Speaker 1: you know, they tried to turn into circus. He became 315 00:16:18,720 --> 00:16:21,520 Speaker 1: the ring master, and it was very clear. That dynamic 316 00:16:21,600 --> 00:16:22,240 Speaker 1: was very clear. 317 00:16:22,400 --> 00:16:26,040 Speaker 3: I knew that Democrats realized that this was a disaster 318 00:16:26,280 --> 00:16:28,640 Speaker 3: when the next day Chuck Schumer took the well of 319 00:16:28,640 --> 00:16:29,800 Speaker 3: the Senate and said. 320 00:16:29,840 --> 00:16:33,160 Speaker 2: Did you hear Abigail Spanberger? She was spot on? 321 00:16:35,680 --> 00:16:40,360 Speaker 1: Okay, the Spamburger thing was strange. Hold on, hold on? 322 00:16:40,440 --> 00:16:42,440 Speaker 1: Can we can we get into the Do you have time? 323 00:16:42,720 --> 00:16:44,600 Speaker 1: Do you have time to h I got time. If 324 00:16:44,600 --> 00:16:46,080 Speaker 1: we're gonna talk to Spamberger, I've got time. 325 00:16:46,080 --> 00:16:49,840 Speaker 3: We're Spamberger and Democrat, the Democrat counterprogramming. 326 00:16:50,480 --> 00:16:51,080 Speaker 2: Can you do that? 327 00:16:51,440 --> 00:16:54,680 Speaker 3: Stay right there? Ed Morrissey from hot air dot Com. 328 00:16:54,720 --> 00:16:56,560 Speaker 3: I'm Tony Katz. This is Tony Katz. 329 00:16:56,640 --> 00:16:56,920 Speaker 2: Today. 330 00:16:57,120 --> 00:16:58,680 Speaker 3: A lot of people are going to be talking about 331 00:16:58,680 --> 00:17:03,480 Speaker 3: in Nvidia because it did better than expected, but yet 332 00:17:03,560 --> 00:17:05,800 Speaker 3: the stock is down. 333 00:17:05,960 --> 00:17:08,359 Speaker 2: Tony Kats Tony Kats today, good to be with you. 334 00:17:08,600 --> 00:17:11,399 Speaker 3: I mean, the NASDAC took a punch in the face, 335 00:17:11,760 --> 00:17:13,920 Speaker 3: like midday it was down more than. 336 00:17:13,840 --> 00:17:16,560 Speaker 2: What was it down more than three hundred mid days? Like, oh, 337 00:17:16,880 --> 00:17:20,560 Speaker 2: oh that's not that isn't what you want. 338 00:17:20,600 --> 00:17:22,359 Speaker 3: I mean that could take the rest of the market 339 00:17:22,720 --> 00:17:24,840 Speaker 3: down for a day with it, and that's just it. 340 00:17:24,600 --> 00:17:29,119 Speaker 3: Just note people will will engage all sorts of reactions. 341 00:17:29,119 --> 00:17:32,440 Speaker 3: What we have seen from this market is that even 342 00:17:32,480 --> 00:17:35,680 Speaker 3: when there is a down day, it doesn't stay down. 343 00:17:36,600 --> 00:17:38,879 Speaker 3: It comes back. It might come back in three days, 344 00:17:38,920 --> 00:17:40,800 Speaker 3: but it comes back. And that's how it keeps hitting 345 00:17:40,840 --> 00:17:44,119 Speaker 3: the highs and hitting the highs. And if you ask me, oh, 346 00:17:44,200 --> 00:17:48,200 Speaker 3: it's all insane. No part of it makes sense. This 347 00:17:48,560 --> 00:17:50,439 Speaker 3: you know, it's like that woman on the plane. This 348 00:17:50,560 --> 00:17:53,600 Speaker 3: mother blanker is not real. None of this makes sense. 349 00:17:54,960 --> 00:17:57,280 Speaker 3: As a guy with a four oh one k right 350 00:17:57,320 --> 00:18:02,000 Speaker 3: on everybody, it's and that's how most people feel. 351 00:18:03,320 --> 00:18:03,520 Speaker 2: Right. 352 00:18:03,640 --> 00:18:06,840 Speaker 3: Part of this is within Vidio, right, those chips are 353 00:18:06,880 --> 00:18:13,480 Speaker 3: really fundamental in AI, AI technology, artificial intelligence. What's happening 354 00:18:13,560 --> 00:18:17,919 Speaker 3: is investors are saying, I don't I don't know. 355 00:18:18,960 --> 00:18:20,920 Speaker 2: Maybe we've invested all we can. 356 00:18:21,200 --> 00:18:23,040 Speaker 3: Maybe it's all the money it's going to go in, 357 00:18:23,359 --> 00:18:26,639 Speaker 3: and now you've got to start showing us results. I 358 00:18:26,680 --> 00:18:30,200 Speaker 3: am a pro AI guy. I think there's a place 359 00:18:30,240 --> 00:18:31,840 Speaker 3: for it. I think there's a purpose for it. I 360 00:18:31,880 --> 00:18:35,240 Speaker 3: think there is care to be taken. But I am 361 00:18:35,280 --> 00:18:38,159 Speaker 3: not somebody who says we shouldn't be engaged here. The 362 00:18:38,160 --> 00:18:42,000 Speaker 3: world is. The world is here, and to pretend that 363 00:18:42,119 --> 00:18:44,240 Speaker 3: somehow you're going to avoid it or it shouldn't exist 364 00:18:44,400 --> 00:18:49,520 Speaker 3: is just radically stupid. It is here and you have 365 00:18:49,600 --> 00:18:51,840 Speaker 3: to deal with it, and that's all there is. There 366 00:18:51,960 --> 00:18:57,280 Speaker 3: is nothing else. So if you're seeing investors like I 367 00:18:57,440 --> 00:19:02,400 Speaker 3: talked about the other day Michael Burry to short AI stock, well, okay, 368 00:19:02,480 --> 00:19:04,000 Speaker 3: you think that they're over leverage in a way, you 369 00:19:04,000 --> 00:19:06,399 Speaker 3: think this is a financial play. Sure, that's different than 370 00:19:06,400 --> 00:19:10,240 Speaker 3: the conversation I'm having, which is the idea of people 371 00:19:10,320 --> 00:19:14,439 Speaker 3: wanting to stop the AI train that's over. It's a 372 00:19:14,520 --> 00:19:17,480 Speaker 3: question of how the AI train gets managed, and how 373 00:19:17,520 --> 00:19:21,679 Speaker 3: we do this smart, and how we find ways to 374 00:19:21,800 --> 00:19:25,960 Speaker 3: protection and find ways to noticing what AI has created 375 00:19:26,640 --> 00:19:29,160 Speaker 3: so we don't get suckered in, so we don't get 376 00:19:29,160 --> 00:19:32,639 Speaker 3: lied to, so we don't engage the fraud. That's the 377 00:19:32,680 --> 00:19:34,760 Speaker 3: stuff that I'm paying attention to. So as much as 378 00:19:34,800 --> 00:19:37,639 Speaker 3: I'm a buyer, and AI. I think the AI protection stuff, 379 00:19:37,680 --> 00:19:40,760 Speaker 3: I think it's almost equally as big as a market and. 380 00:19:40,800 --> 00:19:44,240 Speaker 2: An opportunity for America. I'm Tony Katz. This is Tony 381 00:19:44,320 --> 00:19:44,960 Speaker 2: Kats today. 382 00:19:45,400 --> 00:19:50,919 Speaker 3: The Democrats decided to counter program the State of the Union. 383 00:19:51,000 --> 00:19:53,280 Speaker 3: Tony Katz, Tony Kats Today. Good to be here, Good 384 00:19:53,280 --> 00:19:53,679 Speaker 3: to be with you. 385 00:19:54,000 --> 00:19:57,359 Speaker 2: Ed Morrissey returns from hot air dot Com. 386 00:19:57,400 --> 00:19:59,240 Speaker 3: I didn't know we were going to get into this, Ed, 387 00:20:00,040 --> 00:20:02,280 Speaker 3: because I have not gotten a chance to engage this 388 00:20:02,359 --> 00:20:03,919 Speaker 3: with anybody, because I didn't get to see it. 389 00:20:04,080 --> 00:20:06,280 Speaker 2: I was in the room for the State of the Union, and. 390 00:20:07,880 --> 00:20:12,280 Speaker 3: I only that evening, slept for a short time, had 391 00:20:12,280 --> 00:20:15,320 Speaker 3: the morning show, and realized there were people dressed up 392 00:20:15,320 --> 00:20:20,440 Speaker 3: as frogs and as gifts, and their center Chris Murphy, 393 00:20:20,680 --> 00:20:25,400 Speaker 3: which guarantees everything's going to be flaccid. And the Democrats 394 00:20:25,440 --> 00:20:28,520 Speaker 3: are having this counter programming to the State of the Union, 395 00:20:28,800 --> 00:20:32,520 Speaker 3: and they've got Robert de Niro looking so dour, saying, 396 00:20:32,600 --> 00:20:36,760 Speaker 3: oh this is this country is so terrible and so awful, 397 00:20:37,040 --> 00:20:40,639 Speaker 3: and it's where we're like in an abused spouse. And 398 00:20:40,800 --> 00:20:45,359 Speaker 3: if you didn't see it, if this was hold on 399 00:20:45,400 --> 00:20:48,280 Speaker 3: a second, right here, this was. 400 00:20:50,640 --> 00:20:54,520 Speaker 2: Robert de Niro in his own words. 401 00:20:54,680 --> 00:21:00,200 Speaker 4: Regardless of our political affiliation or whether we engage in politics. No, 402 00:21:00,520 --> 00:21:04,800 Speaker 4: we all love our country. I choke on that phrase, 403 00:21:04,920 --> 00:21:08,639 Speaker 4: we all love our country because our country isn't so 404 00:21:09,119 --> 00:21:13,840 Speaker 4: lovable right now and the current climate. Declaring love for 405 00:21:13,880 --> 00:21:16,720 Speaker 4: our country is like an abused spouse professing love for 406 00:21:16,760 --> 00:21:17,320 Speaker 4: their abuse. 407 00:21:17,359 --> 00:21:23,639 Speaker 1: And oh, dear God, yeah, I mean, honestly, this is 408 00:21:23,720 --> 00:21:25,760 Speaker 1: this is part of the vision contrast that I was 409 00:21:25,800 --> 00:21:28,280 Speaker 1: talking about. This isn't the first time Robert de Niro 410 00:21:28,400 --> 00:21:31,040 Speaker 1: has been ashamed of his country. He talks like this 411 00:21:31,119 --> 00:21:34,000 Speaker 1: all the time. You know this, this mournful all of 412 00:21:34,000 --> 00:21:37,679 Speaker 1: a sudden to find something wrong with my country. It's nonsense. 413 00:21:37,720 --> 00:21:41,760 Speaker 1: He's been spouting this stuff for decades. But the contrast 414 00:21:41,840 --> 00:21:44,080 Speaker 1: that Trump was trying to trying to score, so we 415 00:21:44,160 --> 00:21:47,600 Speaker 1: get the contrast and for what was happening within the 416 00:21:47,600 --> 00:21:48,399 Speaker 1: State of the Union. 417 00:21:49,119 --> 00:21:52,480 Speaker 3: My point is is that this is the counter programming 418 00:21:52,520 --> 00:21:56,360 Speaker 3: that the Democrats went with F Trump, Joe Wall screaming 419 00:21:56,480 --> 00:21:59,760 Speaker 3: F Trump like you had a former congresswoman in agubnatorial 420 00:21:59,800 --> 00:22:02,760 Speaker 3: can to day, Katie Porter, doing so at. 421 00:22:02,640 --> 00:22:04,280 Speaker 2: The California Democratic Convention. 422 00:22:05,480 --> 00:22:08,600 Speaker 3: That's my point to you is not that there was 423 00:22:08,640 --> 00:22:11,240 Speaker 3: this contrast that Trump was trying to create and Democrats 424 00:22:11,320 --> 00:22:14,959 Speaker 3: gladly allowed him to do right, they walked completely into it. 425 00:22:15,200 --> 00:22:19,560 Speaker 3: They contributed to the contrast. My point to you is 426 00:22:19,640 --> 00:22:22,439 Speaker 3: when they had an opportunity of their own making, of 427 00:22:22,480 --> 00:22:26,360 Speaker 3: their own doing, to create their own message, they still 428 00:22:26,400 --> 00:22:29,400 Speaker 3: did not create a message of uplift. They still don't 429 00:22:29,440 --> 00:22:31,600 Speaker 3: have a message of policy. They still don't have a 430 00:22:31,640 --> 00:22:36,320 Speaker 3: message of hope. The entire message is Trump bad. And 431 00:22:36,760 --> 00:22:40,000 Speaker 3: while I don't argue that it can't work, and to 432 00:22:40,040 --> 00:22:42,879 Speaker 3: some extent does work, one has to wonder if you 433 00:22:42,880 --> 00:22:48,280 Speaker 3: can build an entire campaign around this level of dour. 434 00:22:48,480 --> 00:22:50,920 Speaker 2: I mean, let me, let me just really quick, go back, 435 00:22:51,080 --> 00:22:52,040 Speaker 2: go back and look at this. 436 00:22:52,960 --> 00:22:56,320 Speaker 3: Look what a dour old man Robert de Niro looks like. 437 00:22:56,359 --> 00:23:01,200 Speaker 3: There right next to the word swamp, he's there. Swamp 438 00:23:01,320 --> 00:23:04,919 Speaker 3: is clear, And here is Robert de Niro looking like 439 00:23:04,960 --> 00:23:08,040 Speaker 3: someone forgot his pudding cup at the old folks home. 440 00:23:08,400 --> 00:23:12,199 Speaker 3: This is an horrifying image from a guy who's supposed 441 00:23:12,200 --> 00:23:15,399 Speaker 3: to be the greatest actor of our generation. He looks 442 00:23:15,480 --> 00:23:18,399 Speaker 3: like the guy who was an extra on the ad 443 00:23:18,440 --> 00:23:20,600 Speaker 3: for something about shingles. 444 00:23:22,600 --> 00:23:26,720 Speaker 1: Well, first, off. We know that the strategy doesn't work 445 00:23:26,800 --> 00:23:29,480 Speaker 1: because they this is it's same strategy they ran in 446 00:23:29,520 --> 00:23:33,080 Speaker 1: twenty twenty four and they lost. They were arguing that 447 00:23:33,400 --> 00:23:38,440 Speaker 1: Trump was uniquely disqualified for office and that if you 448 00:23:38,520 --> 00:23:41,240 Speaker 1: loved your country, you couldn't possibly vote for Trump, and 449 00:23:41,280 --> 00:23:44,399 Speaker 1: Trump ended up winning the popular vote, not just the 450 00:23:44,480 --> 00:23:47,399 Speaker 1: electoral college, but also the popular vote. It didn't work. 451 00:23:48,000 --> 00:23:52,760 Speaker 1: Voters didn't want to be told that Donald Trump was disqualified. 452 00:23:53,320 --> 00:23:58,159 Speaker 1: They felt that Kamala Harris was I guess disqualified in 453 00:23:58,200 --> 00:24:02,760 Speaker 1: the way just they didn't vote for her, and they 454 00:24:02,800 --> 00:24:06,440 Speaker 1: haven't learned a lesson. The whole thing yes yesterday or 455 00:24:06,640 --> 00:24:09,520 Speaker 1: two days ago with the State of the Union responses 456 00:24:09,720 --> 00:24:13,800 Speaker 1: was a botch strategy from the beginning. The reason why 457 00:24:14,000 --> 00:24:17,320 Speaker 1: you had, prior to the last couple of times you 458 00:24:17,440 --> 00:24:23,840 Speaker 1: had one official response is because that's really the only 459 00:24:23,880 --> 00:24:28,080 Speaker 1: way that you can even possibly compete with the imperial trappings, 460 00:24:28,160 --> 00:24:29,639 Speaker 1: which I hate, by the way, of the State of 461 00:24:29,680 --> 00:24:34,880 Speaker 1: the Union address, I've always hated that. It's the optics 462 00:24:34,880 --> 00:24:37,960 Speaker 1: of it are just simply inconquerable, and it's meant to 463 00:24:38,000 --> 00:24:42,680 Speaker 1: be inconquerable. So any State of the Union official response 464 00:24:42,840 --> 00:24:47,840 Speaker 1: is already off with a pretty big disadvantage. But when 465 00:24:47,840 --> 00:24:51,359 Speaker 1: you start having all of these different competing responses and 466 00:24:51,440 --> 00:24:53,680 Speaker 1: counter programming and stuff like that, it makes everybody look 467 00:24:53,720 --> 00:24:57,440 Speaker 1: like an ankle biter. But any including span Burger's response, 468 00:24:58,119 --> 00:25:01,120 Speaker 1: We'll get to span Burger's in response in a second. 469 00:25:01,720 --> 00:25:05,760 Speaker 1: I don't disagree that it is very hard to compete 470 00:25:06,240 --> 00:25:07,840 Speaker 1: with the state of the union and the pomp and 471 00:25:07,880 --> 00:25:09,879 Speaker 1: the circumstance and everything else. 472 00:25:11,240 --> 00:25:12,520 Speaker 2: This is the Democrats. 473 00:25:13,160 --> 00:25:17,480 Speaker 1: Yes, it helps to try. I mean, really, it helps 474 00:25:17,480 --> 00:25:18,200 Speaker 1: to at least try. 475 00:25:18,520 --> 00:25:21,960 Speaker 2: Look at this people dressed up as. 476 00:25:21,880 --> 00:25:25,320 Speaker 1: Frogs representative for Organ's third congressional district. 477 00:25:25,560 --> 00:25:28,440 Speaker 3: They're standing behind the sign that it doesn't say America, 478 00:25:28,480 --> 00:25:33,560 Speaker 3: it says Defiance dot Org. And she's holding this woman 479 00:25:33,640 --> 00:25:37,639 Speaker 3: is holding an American flag next to these these inflatable 480 00:25:37,640 --> 00:25:42,240 Speaker 3: people in inflatable frog costumes. And the Democrats said, make 481 00:25:42,280 --> 00:25:47,000 Speaker 3: it happen. That's the part that one cannot square the 482 00:25:47,040 --> 00:25:47,760 Speaker 3: circle on that. 483 00:25:48,640 --> 00:25:50,600 Speaker 1: We would have laughed at that if it had happened 484 00:25:50,600 --> 00:25:53,040 Speaker 1: at a seapack. I mean, do you remember the seapack 485 00:25:53,080 --> 00:25:56,639 Speaker 1: where where they had they had the dolphin chasing around 486 00:25:56,880 --> 00:25:59,480 Speaker 1: Romney's guys. It was the two thousand and seven seatpack 487 00:26:00,080 --> 00:26:02,119 Speaker 1: thought that that was pretty it was funny, but it 488 00:26:02,160 --> 00:26:06,840 Speaker 1: was lame, right and and h I free that it 489 00:26:06,920 --> 00:26:09,760 Speaker 1: was Ron Paul's group. I think that did that because 490 00:26:09,920 --> 00:26:12,080 Speaker 1: Romney had flipped on something and so they were trying 491 00:26:12,119 --> 00:26:16,600 Speaker 1: to call him flippy. We were there, I mean, that's 492 00:26:16,760 --> 00:26:19,560 Speaker 1: that's where that belongs. Right, This is not supposed to 493 00:26:19,600 --> 00:26:21,560 Speaker 1: be you know, it's not supposed to be a costume 494 00:26:21,640 --> 00:26:25,200 Speaker 1: show when you're competing against the State of the Union address. 495 00:26:25,359 --> 00:26:29,000 Speaker 1: These people are not serious people. These people are idiots, 496 00:26:29,040 --> 00:26:32,520 Speaker 1: they're fools, and they're demonstrating this and all of this 497 00:26:32,640 --> 00:26:36,520 Speaker 1: goes to undercut whatever official response you're actually going to provide. 498 00:26:37,720 --> 00:26:39,840 Speaker 3: By the way, you can find this story, Brad Schlager 499 00:26:39,880 --> 00:26:43,560 Speaker 3: has written over at hot Air's sister site, red state 500 00:26:43,720 --> 00:26:46,320 Speaker 3: or RedState dot com is where you can find that. 501 00:26:47,359 --> 00:26:50,199 Speaker 3: I go back to the the the consultants for the 502 00:26:50,200 --> 00:26:54,160 Speaker 3: political left. Now we disagree in some of them are 503 00:26:54,280 --> 00:26:56,600 Speaker 3: virulence people, but a bunch of them are not dumb 504 00:26:56,680 --> 00:27:00,600 Speaker 3: people to disagreement in politics. They're trying to figure out 505 00:27:00,600 --> 00:27:04,280 Speaker 3: how to manage this progressive communist wing that they have 506 00:27:04,320 --> 00:27:06,840 Speaker 3: grown and they built. And we should be clear, we 507 00:27:06,920 --> 00:27:09,040 Speaker 3: have had drinks with these people. There has been hangouts 508 00:27:09,040 --> 00:27:11,880 Speaker 3: with these people. There is there's a real difference in policy, 509 00:27:12,840 --> 00:27:15,720 Speaker 3: but they know when things are are over the edge 510 00:27:15,920 --> 00:27:16,679 Speaker 3: and nutty. 511 00:27:16,760 --> 00:27:19,000 Speaker 2: And that's my point. 512 00:27:19,040 --> 00:27:23,120 Speaker 3: How possibly could this have been allowed to have happened? 513 00:27:24,240 --> 00:27:29,200 Speaker 3: Don't they know that this is not what professionals do 514 00:27:30,560 --> 00:27:36,119 Speaker 3: giraffes and inflatable frogs. So I look at this, and 515 00:27:36,160 --> 00:27:39,200 Speaker 3: I watch this, and you can like, we could shrug 516 00:27:39,200 --> 00:27:42,359 Speaker 3: our shoulders and be like, well they tried. My point 517 00:27:42,359 --> 00:27:45,600 Speaker 3: to you is that this isn't trying, This isn't close. 518 00:27:45,760 --> 00:27:49,000 Speaker 3: This is a belief that we are past the lowest 519 00:27:49,000 --> 00:27:51,240 Speaker 3: common denominator on our way down. 520 00:27:52,040 --> 00:27:54,399 Speaker 2: That's what this tells me. Fault and that frightens the 521 00:27:54,480 --> 00:27:55,199 Speaker 2: crap out of me. 522 00:27:55,960 --> 00:27:58,200 Speaker 1: It's a cult. It has become a cult. It is 523 00:27:58,240 --> 00:28:03,359 Speaker 1: a belief system. And there are different aspects of this cult. 524 00:28:04,119 --> 00:28:07,119 Speaker 1: And look, there's culta elements all through politics. It always 525 00:28:07,119 --> 00:28:09,560 Speaker 1: has been. There was a huge cult around personality, cult 526 00:28:09,560 --> 00:28:14,200 Speaker 1: around Barack Obama, where you know, you had people making 527 00:28:14,280 --> 00:28:17,600 Speaker 1: kids sing hosannas to Barack Obama while he was still 528 00:28:17,640 --> 00:28:21,320 Speaker 1: running the first time for president, people naming schools after him. 529 00:28:22,320 --> 00:28:25,199 Speaker 1: There's there's some cultish elements around Donald Trump too, But 530 00:28:25,320 --> 00:28:28,080 Speaker 1: this is an entire party that sort of bought into 531 00:28:29,000 --> 00:28:31,199 Speaker 1: the anti Donald Trump cult. It's sort of like an 532 00:28:31,200 --> 00:28:34,520 Speaker 1: anti cult, and they're sort of locked into this here 533 00:28:34,840 --> 00:28:37,760 Speaker 1: to where they can't see outside of it. One of 534 00:28:37,800 --> 00:28:40,800 Speaker 1: the very few people who can is John Fetterman, and 535 00:28:40,840 --> 00:28:42,960 Speaker 1: he was on Fox News yesterday. 536 00:28:42,520 --> 00:28:45,600 Speaker 2: Morning basically saying the same thing that Donald Trump said. 537 00:28:45,600 --> 00:28:49,360 Speaker 1: How can you not stand for the mother of Arena Zarotzka, 538 00:28:49,440 --> 00:28:52,280 Speaker 1: How can you not stand for the for the men 539 00:28:52,320 --> 00:28:55,720 Speaker 1: and women who are being honored during Donald Trump's speech, 540 00:28:55,760 --> 00:28:57,680 Speaker 1: You know, you don't have to applaud for everything if 541 00:28:57,720 --> 00:29:00,360 Speaker 1: you disagree, don't you know, don't applaud, don't stay up, 542 00:29:00,720 --> 00:29:04,160 Speaker 1: but certain things you stand up for. And he was nonplused. 543 00:29:04,200 --> 00:29:09,080 Speaker 3: I guess, did you see his pelling numbers? 544 00:29:09,200 --> 00:29:10,960 Speaker 1: Yeah, no, I haven't seen his poety. 545 00:29:11,160 --> 00:29:15,040 Speaker 3: Polling numbers are so underwater that there is no way at. 546 00:29:14,840 --> 00:29:17,280 Speaker 2: This moment for him to win a primary. 547 00:29:18,720 --> 00:29:21,040 Speaker 3: And you know that Democrats are going to throw every 548 00:29:21,120 --> 00:29:24,840 Speaker 3: dollar at him against him that they possibly can. He 549 00:29:24,880 --> 00:29:27,440 Speaker 3: can't win a primary, and he's popular with the Republicans 550 00:29:27,480 --> 00:29:28,320 Speaker 3: who won't vote. 551 00:29:28,160 --> 00:29:31,160 Speaker 2: For him in a general. So he is in that 552 00:29:31,200 --> 00:29:31,600 Speaker 2: he is. 553 00:29:31,560 --> 00:29:34,880 Speaker 3: In a a a a right now, a political no 554 00:29:35,040 --> 00:29:39,040 Speaker 3: man's land, because he had the audacity to shake Trump's hand, 555 00:29:39,480 --> 00:29:41,920 Speaker 3: and he is the audacity to say, hey, can we 556 00:29:42,000 --> 00:29:45,600 Speaker 3: not be crazy even if we disagree on policy. 557 00:29:46,520 --> 00:29:50,680 Speaker 1: I suspect, though, that Pennsylvanians might be inclined to send 558 00:29:50,760 --> 00:29:53,360 Speaker 1: John Fetterman back, he might eventually be inclined across the 559 00:29:53,440 --> 00:29:53,960 Speaker 1: aisle too. 560 00:29:54,640 --> 00:29:56,239 Speaker 2: No, he's not. That's not it's not. 561 00:29:56,360 --> 00:29:58,320 Speaker 1: I don't think I don't think so. But you know, 562 00:29:58,400 --> 00:30:01,760 Speaker 1: people do really things, and it would it would not 563 00:30:01,840 --> 00:30:04,000 Speaker 1: be the first time a Pennsylvania senator has done that 564 00:30:04,040 --> 00:30:06,600 Speaker 1: in order to in order to stay Okay. 565 00:30:06,360 --> 00:30:07,840 Speaker 2: Bob Casey, I've got a one. 566 00:30:08,720 --> 00:30:11,600 Speaker 3: I got a well, Arlen Spector, I'm thinking O good Lord, 567 00:30:11,720 --> 00:30:14,560 Speaker 3: Arlen Spector. I went, Bob Casey, I gotta I gotta five. 568 00:30:14,760 --> 00:30:16,600 Speaker 3: I got some real stuff. I mean, what are we 569 00:30:16,640 --> 00:30:21,640 Speaker 3: betting here? He's not dollar gentleman's one dollar. He's not 570 00:30:21,800 --> 00:30:24,280 Speaker 3: doing about it. He's not feel right. 571 00:30:24,520 --> 00:30:26,040 Speaker 2: I think you're right. I think you're right. 572 00:30:26,240 --> 00:30:29,200 Speaker 1: People do funny things though sometimes when when when they 573 00:30:29,280 --> 00:30:32,840 Speaker 1: need to survive politically. I do think you're right. I 574 00:30:32,840 --> 00:30:36,960 Speaker 1: think he's too committed to the policies of what you 575 00:30:37,000 --> 00:30:40,520 Speaker 1: would call the old Democrat Party, which is clearly where 576 00:30:40,560 --> 00:30:44,280 Speaker 1: he identifies, the working class policies and that sort of thing. 577 00:30:46,080 --> 00:30:49,240 Speaker 1: But I think if Democrats shive him in the back, 578 00:30:49,280 --> 00:30:53,960 Speaker 1: he may not feel a loyalty to them in the future. 579 00:30:54,040 --> 00:30:57,480 Speaker 2: You you think he can mount an independent run. 580 00:30:57,600 --> 00:31:00,160 Speaker 1: And guess that might be get we might I'm a 581 00:31:00,280 --> 00:31:04,080 Speaker 1: been more likely. Yeah, you know, I wonder how if 582 00:31:04,080 --> 00:31:06,400 Speaker 1: he ran as an independent. I wonder how hard Republicans 583 00:31:06,400 --> 00:31:09,680 Speaker 1: would run against him too. They may not be inclined 584 00:31:09,680 --> 00:31:12,320 Speaker 1: to stick a whole lot of resources in a race 585 00:31:12,320 --> 00:31:15,720 Speaker 1: where he's running independently. And I'm thinking of Lieberman in 586 00:31:15,800 --> 00:31:20,520 Speaker 1: Connecticut who had to run independently when Ned Lamont beat 587 00:31:20,600 --> 00:31:23,720 Speaker 1: him in the primary and ended up ended up winning 588 00:31:23,760 --> 00:31:25,560 Speaker 1: the general election as a result. 589 00:31:26,400 --> 00:31:31,080 Speaker 3: Well, I will tell you that I would make the 590 00:31:31,160 --> 00:31:35,120 Speaker 3: assumption that he does not switch parties. I would want 591 00:31:35,160 --> 00:31:37,920 Speaker 3: the Republicans to run somebody, because I believe you have 592 00:31:37,960 --> 00:31:40,080 Speaker 3: to run sure, of course, all the time. 593 00:31:39,880 --> 00:31:40,880 Speaker 2: You have to run hard. 594 00:31:41,560 --> 00:31:46,080 Speaker 3: But it's really interesting to think because Western Pennsylvania Democrats 595 00:31:46,120 --> 00:31:49,720 Speaker 3: and Western Pennsylvania very different than Center State and very 596 00:31:49,760 --> 00:31:56,080 Speaker 3: different than Philadelphia in their philosophy, you could really really 597 00:31:56,160 --> 00:31:59,080 Speaker 3: hurt the Democratic Party going into twenty twenty. 598 00:31:58,800 --> 00:31:59,800 Speaker 2: Eight when he is up. 599 00:32:00,760 --> 00:32:06,880 Speaker 3: And also it plays into a national presidential where Pennsylvania 600 00:32:06,920 --> 00:32:07,640 Speaker 3: is up for grabs. 601 00:32:08,600 --> 00:32:09,120 Speaker 2: Yeah. 602 00:32:09,240 --> 00:32:11,160 Speaker 1: Look, I mean, we can do the politics of this 603 00:32:11,200 --> 00:32:12,840 Speaker 1: all day long. He doesn't have to worry about it 604 00:32:12,840 --> 00:32:17,320 Speaker 1: for another year or so. But yeah, I think that 605 00:32:18,640 --> 00:32:21,720 Speaker 1: he's very clearly being isolated in his own party now. 606 00:32:22,680 --> 00:32:26,920 Speaker 1: And I think not just on this, but also on Israel, 607 00:32:27,240 --> 00:32:27,920 Speaker 1: also on. 608 00:32:29,600 --> 00:32:33,160 Speaker 2: Oh, Israel starts at all. Israel absolutely kicks this whole thing. 609 00:32:33,400 --> 00:32:36,400 Speaker 1: That's where it started. It started with Israel, but it's progressed. 610 00:32:36,800 --> 00:32:39,200 Speaker 1: This is a guy who really wants to be an 611 00:32:39,200 --> 00:32:42,720 Speaker 1: old school senator. And this is not the old school 612 00:32:42,720 --> 00:32:45,440 Speaker 1: Senate any longer. It hasn't been for a while, unfortunately, But. 613 00:32:45,440 --> 00:32:46,200 Speaker 2: This is what he wants. 614 00:32:46,280 --> 00:32:48,000 Speaker 1: He wants to be an old school senator and he 615 00:32:48,040 --> 00:32:51,560 Speaker 1: wants to do it honorably. And I think he's running 616 00:32:51,560 --> 00:32:54,880 Speaker 1: out of runway on that. Frankly, unfortunately, I think he's 617 00:32:54,920 --> 00:32:56,960 Speaker 1: running out of runway on that, and I feel bad 618 00:32:57,000 --> 00:32:58,280 Speaker 1: for him about that. I actually have a lot of 619 00:32:58,320 --> 00:33:00,760 Speaker 1: respect for this guy, much more respect than I did 620 00:33:00,760 --> 00:33:02,560 Speaker 1: when he first started running together. I thought he was 621 00:33:02,640 --> 00:33:06,120 Speaker 1: just an out, outright, you know, crazy eyed progressive, and 622 00:33:07,440 --> 00:33:10,440 Speaker 1: it turns out that this guy has got He's a 623 00:33:10,520 --> 00:33:12,600 Speaker 1: mench I think is the best way to put He 624 00:33:12,720 --> 00:33:13,280 Speaker 1: just turns to. 625 00:33:13,280 --> 00:33:15,440 Speaker 3: Be aware A jet of code with him. Ed Morrissey, 626 00:33:15,960 --> 00:33:18,320 Speaker 3: hotair dot Com. I appreciate you taking the time to 627 00:33:18,320 --> 00:33:20,600 Speaker 3: be with us. More is coming up, I'm Tony Katz. 628 00:33:21,120 --> 00:33:24,960 Speaker 3: Finally an arrest you mean with Epstein. No, no, not 629 00:33:25,080 --> 00:33:29,320 Speaker 3: with Epstein. I'll take that as well. But I'm happy 630 00:33:29,320 --> 00:33:32,760 Speaker 3: to see that Larry Summers, you know, has to lose 631 00:33:32,800 --> 00:33:34,959 Speaker 3: his job, although he gets to wait until the end 632 00:33:34,960 --> 00:33:38,000 Speaker 3: of the school year. Tony Katz, Tony Katz today, good 633 00:33:38,040 --> 00:33:41,000 Speaker 3: to be with you, the Harvard professor, Larry Summers, former 634 00:33:41,040 --> 00:33:44,960 Speaker 3: Treasury secretary, all connected with Epstein and what he gets 635 00:33:45,000 --> 00:33:47,400 Speaker 3: to work out the rest of the school year. He 636 00:33:47,440 --> 00:33:53,120 Speaker 3: doesn't have to be thrown out immediately. Okay, fantastic, wonderful, terrific. No, 637 00:33:53,320 --> 00:33:58,200 Speaker 3: this is an arrest from the people throwing snowballs at cops. 638 00:33:57,880 --> 00:33:58,400 Speaker 2: In New York. 639 00:33:59,360 --> 00:34:01,240 Speaker 3: Remember there was a big snowball fight and the police 640 00:34:01,280 --> 00:34:02,760 Speaker 3: showed up and be like, hey, what's going on. 641 00:34:02,800 --> 00:34:04,120 Speaker 2: I don't mind snowball fights. 642 00:34:04,240 --> 00:34:06,520 Speaker 3: But then they started throwing snowballs at cops, as if 643 00:34:06,520 --> 00:34:09,759 Speaker 3: cops are just supposed to take that crap. Because it 644 00:34:09,880 --> 00:34:12,960 Speaker 3: wasn't just some kind of fun loving thing. It was 645 00:34:13,000 --> 00:34:16,920 Speaker 3: a full on attack on cops and it was gross. 646 00:34:17,120 --> 00:34:19,960 Speaker 3: And Mo'm Donnie's like, I just I just saw a 647 00:34:19,960 --> 00:34:22,600 Speaker 3: snowball fight. I don't know the problem, Mom, Donnie is 648 00:34:22,640 --> 00:34:27,640 Speaker 3: a gross commie. A twenty seven year old arrested on 649 00:34:27,760 --> 00:34:33,800 Speaker 3: Thursday in connection to the snowball attack on the police. 650 00:34:34,120 --> 00:34:37,600 Speaker 3: Now there's a question as to what charges he faces. 651 00:34:38,120 --> 00:34:41,000 Speaker 3: This is a guy who was arrested for attempted robbery 652 00:34:41,000 --> 00:34:43,000 Speaker 3: in a subway less than three weeks ago. 653 00:34:43,880 --> 00:34:47,840 Speaker 2: Oh well, he seems nice. 654 00:34:49,000 --> 00:34:52,880 Speaker 3: The police Commissioner Jessica Tish described it as criminal disgrace, 655 00:34:52,920 --> 00:34:57,920 Speaker 3: while meaning the whole incident good. This is important stuff 656 00:34:59,160 --> 00:35:01,399 Speaker 3: because it's about if I can throw snowballs at them, 657 00:35:01,560 --> 00:35:03,600 Speaker 3: what else can I do? And the cop is just 658 00:35:03,600 --> 00:35:07,319 Speaker 3: supposed to take it. You see them walking down the 659 00:35:07,400 --> 00:35:10,480 Speaker 3: street and people are just throwing snowballs at them. It's 660 00:35:10,520 --> 00:35:15,760 Speaker 3: a humiliation ritual, it's an obscenity. And Mom, Donnie has 661 00:35:15,800 --> 00:35:18,400 Speaker 3: nothing to say about it because he hates the cops. 662 00:35:18,520 --> 00:35:23,080 Speaker 3: He hates law enforcement. He's a bad guy, and the 663 00:35:23,200 --> 00:35:26,560 Speaker 3: million people who voted for him, they're bad people. So 664 00:35:26,760 --> 00:35:29,000 Speaker 3: five million New Yorkers have to come out for elections 665 00:35:29,000 --> 00:35:29,719 Speaker 3: and make sure these. 666 00:35:29,640 --> 00:35:30,480 Speaker 2: People never win. 667 00:35:32,040 --> 00:35:34,799 Speaker 3: And as long as they stay home, they deserve every 668 00:35:34,880 --> 00:35:37,120 Speaker 3: damn thing they get. The people who voted for Mom 669 00:35:37,160 --> 00:35:40,439 Speaker 3: Donnie should have the snowballs thrown at them. 670 00:35:40,640 --> 00:35:42,320 Speaker 2: And who knows what was in those snowballs. 671 00:35:42,360 --> 00:35:44,040 Speaker 3: I mean, this could might as well be like the 672 00:35:44,080 --> 00:35:50,279 Speaker 3: Philadelphia Eagles fans throwing snowballs. It's Sanna a bunch of savages. 673 00:35:50,320 --> 00:35:53,640 Speaker 3: I'll tell you what. I'm glad people are going to jail. 674 00:35:54,120 --> 00:35:57,880 Speaker 3: I think it's excellent. Well, they've been arrested. I hope 675 00:35:58,280 --> 00:36:01,600 Speaker 3: they go to jail, and I hope New York learns 676 00:36:01,600 --> 00:36:05,880 Speaker 3: this lesson. Don't vote for commies. It's a really easy 677 00:36:05,960 --> 00:36:06,560 Speaker 3: lesson to learn. 678 00:36:07,120 --> 00:36:10,200 Speaker 2: Find everything at Tonycotts dot com. Tomorrow, everyone take out