1 00:00:00,080 --> 00:00:01,720 Speaker 1: Hey, guys, Saga and Crystal. 2 00:00:01,440 --> 00:00:04,680 Speaker 2: Here, independent media just played a truly massive role in 3 00:00:04,680 --> 00:00:07,480 Speaker 2: this election, and we are so excited about what that 4 00:00:07,520 --> 00:00:08,760 Speaker 2: means for the future of the show. 5 00:00:08,880 --> 00:00:10,760 Speaker 1: This is the only place where you can find honest 6 00:00:10,760 --> 00:00:13,280 Speaker 1: perspectives from the left and the right that simply does 7 00:00:13,320 --> 00:00:14,680 Speaker 1: not exist anywhere else. 8 00:00:14,720 --> 00:00:17,080 Speaker 2: So if that is something that's important to you, please 9 00:00:17,120 --> 00:00:19,599 Speaker 2: go to Breakingpoints dot com. Become a member today and 10 00:00:19,640 --> 00:00:22,880 Speaker 2: you'll access to our full shows, unedited, ad free, and 11 00:00:23,040 --> 00:00:25,600 Speaker 2: all put together for you every morning in your inbox. 12 00:00:25,680 --> 00:00:27,560 Speaker 1: We need your help to build the future of independent 13 00:00:27,560 --> 00:00:29,920 Speaker 1: news media and we hope to see you at Breakingpoints 14 00:00:29,960 --> 00:00:35,960 Speaker 1: dot com. All right, after that long discussion, we're going 15 00:00:36,000 --> 00:00:38,640 Speaker 1: to turn out to the economy, shall we. Let's go 16 00:00:38,680 --> 00:00:40,800 Speaker 1: ahead and start with this viral segment here of a 17 00:00:40,840 --> 00:00:44,440 Speaker 1: soybean farmer furious with the Trump administration for bailing out 18 00:00:44,560 --> 00:00:49,680 Speaker 1: Argentina after he has himself suffered tremendously from tariffs. 19 00:00:49,760 --> 00:00:52,559 Speaker 3: Let's say a listen, Well, like we talked earlier, we 20 00:00:52,600 --> 00:00:54,720 Speaker 3: went from twelve billion to zero, and then you know, 21 00:00:54,760 --> 00:00:57,000 Speaker 3: as a farmer, we get up one morning and you 22 00:00:57,160 --> 00:00:59,680 Speaker 3: get of Argentina, which is our second biggest. 23 00:00:59,280 --> 00:01:00,000 Speaker 1: Competition in the world. 24 00:01:00,560 --> 00:01:03,880 Speaker 3: They're the largest exporters of soybean meal in the world. 25 00:01:04,240 --> 00:01:06,280 Speaker 3: So I get up one morning, I turned the news on, 26 00:01:06,480 --> 00:01:09,480 Speaker 3: and you get twenty billion dollars the taxpayer money to 27 00:01:09,600 --> 00:01:13,399 Speaker 3: my competition. And then the Chinese buy I think the 28 00:01:13,440 --> 00:01:16,920 Speaker 3: figure is thirty or forty containers ships, which is about 29 00:01:16,920 --> 00:01:19,959 Speaker 3: sixty five thousand metric tons per ship, which is like 30 00:01:20,000 --> 00:01:23,240 Speaker 3: two point two million bushels. So they buy twelve or 31 00:01:23,240 --> 00:01:26,399 Speaker 3: fourteen billion dollars worth of sody beans from the Argentinians 32 00:01:26,720 --> 00:01:28,080 Speaker 3: after the tax holiday. 33 00:01:28,240 --> 00:01:29,680 Speaker 1: And here's the caveat to it. 34 00:01:29,920 --> 00:01:33,039 Speaker 3: They give two dollars and thirty cents over the November board, 35 00:01:33,400 --> 00:01:36,520 Speaker 3: while I'm getting fifty cents under the November board. So 36 00:01:36,600 --> 00:01:39,520 Speaker 3: that makes s the Argentinian soybeans about twelve dollars and 37 00:01:39,560 --> 00:01:42,200 Speaker 3: forty two cents a bushel. I think that's the real 38 00:01:42,240 --> 00:01:45,240 Speaker 3: figure they gave. So all my premium they all went 39 00:01:45,280 --> 00:01:46,000 Speaker 3: to Argentina. 40 00:01:46,600 --> 00:01:50,040 Speaker 1: So all my premium went to Argentina. Man, I haven't 41 00:01:50,080 --> 00:01:54,400 Speaker 1: gotten into weighing on Argentina. That is so patently insane 42 00:01:54,520 --> 00:01:57,600 Speaker 1: that we're bailing these people out literally just because they're 43 00:01:57,680 --> 00:02:02,639 Speaker 1: Trump friendly. I mean, because yeah, of course, hedge funds 44 00:02:02,640 --> 00:02:05,960 Speaker 1: and vcs, etc. Who place bets on the Malay dream 45 00:02:06,360 --> 00:02:09,720 Speaker 1: and now our own people are like, hey, what the fuck, dude. 46 00:02:09,800 --> 00:02:12,320 Speaker 1: And then we had the leaked text messages that came 47 00:02:12,360 --> 00:02:15,839 Speaker 1: out from what was it to Scott Besson about the Chinese. 48 00:02:16,480 --> 00:02:19,560 Speaker 1: Just the way that these people have handled this, it 49 00:02:21,360 --> 00:02:26,000 Speaker 1: offends me more than anything, like the lack of coherence, 50 00:02:26,400 --> 00:02:30,440 Speaker 1: the incompetence. It is unbelievable and it would be funny 51 00:02:30,760 --> 00:02:33,720 Speaker 1: if it weren't for guys like that, the soybean farmer 52 00:02:33,880 --> 00:02:37,160 Speaker 1: bailing out, Argentina becoming the laughing stock, having no real 53 00:02:37,200 --> 00:02:39,120 Speaker 1: trade deal here with China. By the way, I've been 54 00:02:39,160 --> 00:02:41,920 Speaker 1: tracking closely. The new Prime Minister of Japan previously had 55 00:02:41,919 --> 00:02:44,600 Speaker 1: said I'm going to renegotiate that trade deal. So let's 56 00:02:44,639 --> 00:02:47,920 Speaker 1: see how that goes. We turned Japan against us, great awesome. 57 00:02:48,480 --> 00:02:51,280 Speaker 1: There are so many instances on the world stage and 58 00:02:51,440 --> 00:02:56,080 Speaker 1: here publicly where things just make genuinely no sense, like 59 00:02:56,240 --> 00:02:59,200 Speaker 1: no sense whatsoever. And so putting it all together with 60 00:02:59,240 --> 00:03:02,880 Speaker 1: the economy, that's what worries me because at the same time, 61 00:03:03,000 --> 00:03:06,040 Speaker 1: the one industry which is actually getting quite a bit 62 00:03:06,360 --> 00:03:09,040 Speaker 1: of help from the federal government is ai and there's 63 00:03:09,080 --> 00:03:10,680 Speaker 1: some worrying stuff out there. Le's put this up here 64 00:03:10,720 --> 00:03:14,079 Speaker 1: on the screen. The AI bubble is quote seventeen times 65 00:03:14,120 --> 00:03:16,600 Speaker 1: now the size of the dot com frenzy, and four 66 00:03:16,639 --> 00:03:19,960 Speaker 1: times the subprime bubble. One analyst is saying, of course, look, 67 00:03:20,000 --> 00:03:22,160 Speaker 1: we can always find analysts say everything. But of course 68 00:03:22,240 --> 00:03:24,320 Speaker 1: I like the headline, and I do think it kind 69 00:03:24,320 --> 00:03:27,240 Speaker 1: of underscores some of the issues that we are having. 70 00:03:27,360 --> 00:03:31,120 Speaker 1: Where we talked extensively about this AI capital expenditure and 71 00:03:31,200 --> 00:03:33,720 Speaker 1: data center spending specifically is the only thing propping up 72 00:03:33,760 --> 00:03:36,600 Speaker 1: our economy. We would almost certainly be in a recession 73 00:03:36,640 --> 00:03:39,480 Speaker 1: if it were not for AI data center spend. That 74 00:03:39,600 --> 00:03:42,040 Speaker 1: is a highly inefficient way to make sure that you 75 00:03:42,080 --> 00:03:44,600 Speaker 1: have GDP growth because it is not in any way 76 00:03:44,640 --> 00:03:48,960 Speaker 1: distributed across the economy. It is the literal opposite of 77 00:03:49,000 --> 00:03:51,680 Speaker 1: what a thriving small business labor market and all of 78 00:03:51,720 --> 00:03:53,600 Speaker 1: that is supposed to look like. If we look in 79 00:03:53,640 --> 00:03:56,440 Speaker 1: the opposite direction, what do you say you see everything 80 00:03:56,480 --> 00:03:59,480 Speaker 1: else trending in the wrong direction? C three for example, Please, 81 00:03:59,560 --> 00:04:01,680 Speaker 1: let's put it up here on the screen. Quote, are 82 00:04:01,680 --> 00:04:04,120 Speaker 1: we in a recession? Yes, if you live in one 83 00:04:04,240 --> 00:04:08,040 Speaker 1: of these twenty two states, And so they specifically point 84 00:04:08,160 --> 00:04:10,720 Speaker 1: if you look at those recession numbers, part of it 85 00:04:10,760 --> 00:04:13,880 Speaker 1: is the flyover country where a lot of it is farming. 86 00:04:14,120 --> 00:04:15,760 Speaker 1: That's where a lot of that is coming from. You 87 00:04:15,800 --> 00:04:18,680 Speaker 1: have the Pacific Northwest, you have Maine, and a lot 88 00:04:18,680 --> 00:04:21,719 Speaker 1: of the Northeastern corridor actually here in our own home state. 89 00:04:21,880 --> 00:04:24,960 Speaker 1: And then including down the federal government. And then actually 90 00:04:25,200 --> 00:04:27,480 Speaker 1: this is very concerning if you look down south, because 91 00:04:27,720 --> 00:04:31,200 Speaker 1: down south and specifically around Florida the Panhandle, these states 92 00:04:31,240 --> 00:04:34,359 Speaker 1: were supposed to be booming under the new economy with 93 00:04:34,400 --> 00:04:37,360 Speaker 1: work from home and with new investment, Georgia and all 94 00:04:37,400 --> 00:04:39,080 Speaker 1: these other places. We're supposed to be getting a lot 95 00:04:39,080 --> 00:04:41,960 Speaker 1: of money. And so anyway, when you look at some 96 00:04:42,000 --> 00:04:45,320 Speaker 1: of these, it's very worrying and you consider that if 97 00:04:45,320 --> 00:04:47,400 Speaker 1: you have twenty two states, a lot of them in 98 00:04:47,440 --> 00:04:50,480 Speaker 1: places are not going to be data center reliant and 99 00:04:50,720 --> 00:04:52,960 Speaker 1: or anything that has to do with the technology company 100 00:04:53,120 --> 00:04:55,080 Speaker 1: or oil and gas, like you can see in Texas 101 00:04:55,279 --> 00:04:58,120 Speaker 1: it's expanding, you're already having issues and they already say 102 00:04:58,279 --> 00:05:01,720 Speaker 1: treading water and a lot of big enemies, including California. 103 00:05:01,800 --> 00:05:04,160 Speaker 1: So it's not a rosy picture when we put it all. 104 00:05:04,080 --> 00:05:06,839 Speaker 4: Together, No, absolutely not. And worth reminding you guys. 105 00:05:06,720 --> 00:05:08,760 Speaker 2: We were supposed to get a jobs report Friday. We 106 00:05:08,800 --> 00:05:11,280 Speaker 2: did not get a jobs report Friday. That was partly 107 00:05:11,360 --> 00:05:14,680 Speaker 2: government shutdown, partly that we don't have a BLS commissioner, 108 00:05:14,680 --> 00:05:16,360 Speaker 2: and the one that gave the numbers Trump didn't like 109 00:05:16,440 --> 00:05:19,760 Speaker 2: got fired the new guy. Even conservatives were like, this 110 00:05:19,839 --> 00:05:21,960 Speaker 2: guy can't do the job, and so his nomination had 111 00:05:22,000 --> 00:05:25,760 Speaker 2: to be pulled. They previously had delayed an inflation report, 112 00:05:26,080 --> 00:05:29,960 Speaker 2: but there was an eightyp private jobs report that came 113 00:05:30,000 --> 00:05:34,000 Speaker 2: out that showed a very damaging jobs number and a 114 00:05:34,320 --> 00:05:37,599 Speaker 2: lower revision for prior months as well. So things looking 115 00:05:37,680 --> 00:05:40,320 Speaker 2: incredibly shaky. And to go back to the piece about 116 00:05:40,400 --> 00:05:43,440 Speaker 2: you know the teriffs in the way this is impacting everybody, 117 00:05:43,520 --> 00:05:45,240 Speaker 2: put C four up on the screen. I mean, this 118 00:05:45,360 --> 00:05:48,120 Speaker 2: is just this just kind of tells you everything. So 119 00:05:48,400 --> 00:05:51,440 Speaker 2: while the soybean farmers are getting screwed every way in 120 00:05:51,480 --> 00:05:55,839 Speaker 2: five ways, on Sunday, you have basically no terrafts on 121 00:05:55,960 --> 00:06:00,040 Speaker 2: computer imports. So for these giant companies that are building 122 00:06:00,080 --> 00:06:02,560 Speaker 2: on these data centers, they're not having to bear any 123 00:06:02,600 --> 00:06:06,120 Speaker 2: extra costs from the tariffs. And you have this massive 124 00:06:06,200 --> 00:06:09,400 Speaker 2: computer import surge due to the AI boom. 125 00:06:09,440 --> 00:06:11,000 Speaker 4: So this speaks to the terror policy. 126 00:06:11,000 --> 00:06:15,200 Speaker 2: It also speaks to the increasing consolidation of our economy 127 00:06:15,360 --> 00:06:20,719 Speaker 2: in this you know, very speculative AI data center boom. 128 00:06:21,120 --> 00:06:24,400 Speaker 2: And you know it's possible, by the way, just like 129 00:06:24,440 --> 00:06:27,560 Speaker 2: with the dot com bubble, that AI genuinely does turn 130 00:06:27,560 --> 00:06:30,360 Speaker 2: out to be transformative and that a bunch of people 131 00:06:30,440 --> 00:06:32,240 Speaker 2: lose their asses and we have a massive you know, 132 00:06:32,360 --> 00:06:36,600 Speaker 2: crash and contraction and a bubble bursting because most of 133 00:06:36,640 --> 00:06:40,080 Speaker 2: these investments that are being made, and we're talking insane 134 00:06:40,240 --> 00:06:43,320 Speaker 2: amounts of money being thrown at AI and at data 135 00:06:43,320 --> 00:06:44,080 Speaker 2: center build. 136 00:06:43,839 --> 00:06:46,200 Speaker 4: Out right now, most of this is not profitable. 137 00:06:46,520 --> 00:06:48,720 Speaker 2: They're still in this land of like, well, we'll figure 138 00:06:48,760 --> 00:06:50,919 Speaker 2: out how to make money down the road, but we 139 00:06:51,040 --> 00:06:53,760 Speaker 2: have to be the ones to win the AI race. 140 00:06:54,120 --> 00:06:56,000 Speaker 2: And so of course that could set out. I got 141 00:06:56,040 --> 00:06:57,680 Speaker 2: one for you bubble situation. 142 00:06:57,839 --> 00:07:00,480 Speaker 1: Huge news just this morning, AMD stock is up like 143 00:07:00,560 --> 00:07:03,840 Speaker 1: forty percent. Open Ai and AMD have announced a massive 144 00:07:03,880 --> 00:07:06,440 Speaker 1: new computing deal quote marking the new phase of the 145 00:07:06,480 --> 00:07:10,000 Speaker 1: AI boom. Five year agreement will challenge in Videa's market dominance. 146 00:07:10,240 --> 00:07:13,560 Speaker 1: As open Ai plans deployment of the AMD new chip. 147 00:07:13,600 --> 00:07:16,640 Speaker 1: Their stock is literally booming overnight. I think it's actually 148 00:07:16,640 --> 00:07:19,239 Speaker 1: carrying a decent portion of some of the gains this morning. 149 00:07:19,280 --> 00:07:21,360 Speaker 1: But what does that mean? I mean, do you remember 150 00:07:21,440 --> 00:07:23,480 Speaker 1: we I? Oh yeah, I was on with Ryan where 151 00:07:23,520 --> 00:07:25,920 Speaker 1: Open Ai invested one hundred and fifty billion. I forget 152 00:07:25,960 --> 00:07:28,040 Speaker 1: into who into some company and then their stock went 153 00:07:28,120 --> 00:07:30,200 Speaker 1: up by like one hundred and fifty billion, And you're like, 154 00:07:30,240 --> 00:07:33,120 Speaker 1: wait what. You're like, you're you're you're spending money, but 155 00:07:33,120 --> 00:07:34,800 Speaker 1: then your stock goes up. I think it was a video, 156 00:07:35,000 --> 00:07:36,400 Speaker 1: that's what it was. It was like, we're going to 157 00:07:36,440 --> 00:07:38,040 Speaker 1: spend x y and z and then our market cap 158 00:07:38,080 --> 00:07:39,280 Speaker 1: is going to go up by x, y and z. 159 00:07:39,440 --> 00:07:41,720 Speaker 1: It's like, but no, the money's going out of the company, 160 00:07:42,320 --> 00:07:45,520 Speaker 1: So how did this work? You're like, what, Look, I'm 161 00:07:45,520 --> 00:07:47,679 Speaker 1: not a smart person, I guess when it comes to stocks, 162 00:07:47,760 --> 00:07:50,280 Speaker 1: because I would have predicted a crash a long time ago. 163 00:07:50,640 --> 00:07:54,040 Speaker 1: But something about this it just doesn't seem right. And 164 00:07:54,080 --> 00:07:57,160 Speaker 1: then the Sora Ai. You know, I originally was kind 165 00:07:57,160 --> 00:07:59,720 Speaker 1: of excited for Sora Once Sora two came out, I'm like, 166 00:07:59,760 --> 00:08:03,440 Speaker 1: this is literally just TikTok slop, Like Ai TikTok slop. 167 00:08:03,480 --> 00:08:05,440 Speaker 1: I saw mister Beast and other people being like, oh, 168 00:08:05,480 --> 00:08:08,960 Speaker 1: it might replace creators. I don't think so, at least 169 00:08:08,960 --> 00:08:11,320 Speaker 1: for right now. Yet to my eye, it looks like shit. 170 00:08:11,960 --> 00:08:13,680 Speaker 1: So and I have yet to see a piece of 171 00:08:13,720 --> 00:08:16,720 Speaker 1: creative AI art that actually passes the smell task. 172 00:08:16,800 --> 00:08:19,000 Speaker 4: But I don't They're getting close, though, they are. 173 00:08:19,040 --> 00:08:21,200 Speaker 1: Have you seen anything compelling like actually good? 174 00:08:21,360 --> 00:08:21,560 Speaker 4: Yes? 175 00:08:21,920 --> 00:08:24,200 Speaker 2: So, Kyle and I were talking about this last night 176 00:08:24,320 --> 00:08:28,160 Speaker 2: and he was showing me these videos that people made 177 00:08:28,320 --> 00:08:33,480 Speaker 2: of like I don't know, WWF, like nineteen nineties WWF remakes, 178 00:08:33,520 --> 00:08:36,840 Speaker 2: but it'll be like Tupac Shakor and Bickie right, And 179 00:08:36,960 --> 00:08:39,880 Speaker 2: because you're telling it to do it in that style, 180 00:08:40,280 --> 00:08:43,200 Speaker 2: the camera quality is low, so it's a little fuzzy, 181 00:08:43,240 --> 00:08:45,520 Speaker 2: the way that if you watch some nineteen nineties media, 182 00:08:45,640 --> 00:08:48,520 Speaker 2: the way it would look, and they pull that off 183 00:08:48,880 --> 00:08:49,760 Speaker 2: really pretty well. 184 00:08:49,960 --> 00:08:52,800 Speaker 1: I've seen some of these ninety eras cuts, yes, yeah, 185 00:08:52,880 --> 00:08:54,439 Speaker 1: so take me back. I feel like. 186 00:08:54,480 --> 00:08:57,680 Speaker 2: Those are the ones where it comes closest. If you're 187 00:08:57,720 --> 00:09:00,920 Speaker 2: trying to create a video that has the quality of like, 188 00:09:01,000 --> 00:09:03,600 Speaker 2: you know, four K cameras in twenty twenty five or whatever, 189 00:09:03,920 --> 00:09:07,000 Speaker 2: and that level of Christmas people have a little bit 190 00:09:07,040 --> 00:09:10,240 Speaker 2: of that uncanny Valley, Like there's a weird sheen to them. 191 00:09:10,280 --> 00:09:15,000 Speaker 2: It's just not quite right. But they're getting pretty close. 192 00:09:15,520 --> 00:09:19,480 Speaker 2: I mean, the level of the rapidity of the development 193 00:09:20,160 --> 00:09:22,719 Speaker 2: is for me, it's very unsettling. I personally think we 194 00:09:22,720 --> 00:09:24,920 Speaker 2: should just shut it all down because we are not 195 00:09:25,200 --> 00:09:28,560 Speaker 2: as a society. You know, the economic piece is one 196 00:09:28,640 --> 00:09:31,640 Speaker 2: really important piece. Just like as a society, are we 197 00:09:31,840 --> 00:09:35,679 Speaker 2: ready for this? Think of the think of people falling 198 00:09:35,800 --> 00:09:37,679 Speaker 2: for some of the crap that's being put out now 199 00:09:37,679 --> 00:09:41,040 Speaker 2: that is obviously AI, and people are falling for it. 200 00:09:41,440 --> 00:09:45,520 Speaker 2: You're gonna have a total like failure and inability of 201 00:09:45,600 --> 00:09:48,360 Speaker 2: society to understand what is real and what is false. 202 00:09:48,640 --> 00:09:52,599 Speaker 2: Things that are real. Remember Trump with the thing that 203 00:09:52,679 --> 00:09:54,160 Speaker 2: we're throwing out the White House went on and he 204 00:09:54,240 --> 00:09:56,480 Speaker 2: was like, oh, that's probably AI like things that are 205 00:09:56,520 --> 00:09:58,599 Speaker 2: actually real. Or you can look at the images in 206 00:09:58,640 --> 00:10:00,840 Speaker 2: Gaza that you know, the propaganda. Oh that's not real, 207 00:10:00,920 --> 00:10:02,240 Speaker 2: that's fake, that's that's AI. 208 00:10:02,360 --> 00:10:02,720 Speaker 4: Whatever. 209 00:10:03,400 --> 00:10:05,520 Speaker 2: There will be that dynamic where things that are really 210 00:10:05,520 --> 00:10:08,080 Speaker 2: happening people say are fake, things that are fake. 211 00:10:07,920 --> 00:10:09,640 Speaker 4: Are going to be deemed as real. 212 00:10:09,840 --> 00:10:12,120 Speaker 2: It's going to be topsy tervy and we are as 213 00:10:12,160 --> 00:10:17,000 Speaker 2: a society in no way prepared to deal with that reality, 214 00:10:17,480 --> 00:10:20,520 Speaker 2: let alone the other implications in terms of jobs displacement 215 00:10:20,559 --> 00:10:22,240 Speaker 2: and what the social contract is going to look like. 216 00:10:22,400 --> 00:10:25,240 Speaker 2: All of that so to me, I find it all. 217 00:10:25,679 --> 00:10:27,320 Speaker 2: I'm very troubled by all of it. 218 00:10:27,400 --> 00:10:29,920 Speaker 1: I'm worried as hell. You know, we were talking the 219 00:10:29,960 --> 00:10:32,520 Speaker 1: first sore video that went viral was a surveillance video 220 00:10:32,559 --> 00:10:35,000 Speaker 1: of sam ol Sam Yeah, and I said, can you 221 00:10:35,040 --> 00:10:37,080 Speaker 1: imagine if this shit had been around just a few 222 00:10:37,080 --> 00:10:39,840 Speaker 1: weeks ago, when Charlie was shot and Tyler Robinson deep 223 00:10:39,840 --> 00:10:42,040 Speaker 1: fakes that were going around, you can see it happen 224 00:10:42,480 --> 00:10:44,679 Speaker 1: like this. Also to the discussion we just had about 225 00:10:44,880 --> 00:10:48,640 Speaker 1: potential division and all that these boomers barely know what's real. 226 00:10:48,679 --> 00:10:50,360 Speaker 1: On Facebook, have you seen some of the stuff they're 227 00:10:50,360 --> 00:10:53,040 Speaker 1: already sharing, yes, which is so those weird. 228 00:10:52,720 --> 00:10:55,400 Speaker 2: Bridge videos where people are like on a glass bridge 229 00:10:55,440 --> 00:10:57,320 Speaker 2: and it falls apart and that a dog rescues a 230 00:10:57,320 --> 00:10:59,800 Speaker 2: girl and whatever, and people are believing this stuff. 231 00:11:00,200 --> 00:11:01,679 Speaker 4: Yeah, it's really scary. 232 00:11:01,720 --> 00:11:03,800 Speaker 2: I mean, I'm not sure that some of the Tyler 233 00:11:03,920 --> 00:11:05,120 Speaker 2: Robinson stuff that I have. 234 00:11:05,200 --> 00:11:06,600 Speaker 4: Seen isn't ai. 235 00:11:06,600 --> 00:11:07,600 Speaker 1: I don't know for sure. 236 00:11:07,960 --> 00:11:10,679 Speaker 2: I'm not sure, right these surveillance, if they're grainy whatever, 237 00:11:10,760 --> 00:11:12,320 Speaker 2: you could fake that easily already. 238 00:11:12,360 --> 00:11:17,360 Speaker 1: So I don't know, why don't we get to shut down? 239 00:11:17,520 --> 00:11:20,760 Speaker 2: Yeah, a lot going on here in terms of obviously 240 00:11:21,000 --> 00:11:25,120 Speaker 2: still government shutdown appears to be an impass as well. 241 00:11:25,840 --> 00:11:29,679 Speaker 2: Trump is trying to pin the blame on Democrats. Will 242 00:11:29,679 --> 00:11:32,079 Speaker 2: show you some polling to indicate whether people are buying 243 00:11:32,120 --> 00:11:32,640 Speaker 2: that or not that. 244 00:11:32,679 --> 00:11:34,000 Speaker 4: Let's go ahead and take a listener shop. 245 00:11:34,280 --> 00:11:38,120 Speaker 3: Well there, I call them Democrat layoffs. Their Democrat layoffs. 246 00:11:38,679 --> 00:11:39,480 Speaker 4: They're causing it. 247 00:11:39,760 --> 00:11:41,880 Speaker 3: We're ready to go back. You know, we have a 248 00:11:42,000 --> 00:11:46,680 Speaker 3: record sitting economy. Whoever record sitting countries prices the way down. 249 00:11:47,040 --> 00:11:48,080 Speaker 1: We're doing better than. 250 00:11:48,000 --> 00:11:49,320 Speaker 5: The country he's ever done. 251 00:11:49,559 --> 00:11:51,320 Speaker 3: And the Democrats hate seeing them. 252 00:11:51,520 --> 00:11:52,400 Speaker 2: It's up to them. 253 00:11:52,880 --> 00:11:55,400 Speaker 1: Anybody laid off, that's because of the Democrat. 254 00:11:55,800 --> 00:12:00,280 Speaker 2: Despite the current Democrat induced shutdown, we will get our 255 00:12:00,360 --> 00:12:02,040 Speaker 2: service members, every last petty. 256 00:12:02,080 --> 00:12:03,040 Speaker 4: Don't worry about it. 257 00:12:03,880 --> 00:12:06,720 Speaker 3: I'll worry. You'll worry. 258 00:12:08,200 --> 00:12:09,960 Speaker 2: And Sager, I'm sure you saw how they were like 259 00:12:10,160 --> 00:12:13,080 Speaker 2: forcing people's like out of office replies to blame the 260 00:12:13,120 --> 00:12:16,600 Speaker 2: Democrats and putting up messages on the government websites. I mean, 261 00:12:16,640 --> 00:12:19,800 Speaker 2: hatch Act. What's that apparently doesn't matter anymore. But that's 262 00:12:19,840 --> 00:12:20,360 Speaker 2: his framing. 263 00:12:20,559 --> 00:12:24,320 Speaker 1: Yes, well, you know I said this this morning. Is 264 00:12:24,360 --> 00:12:27,280 Speaker 1: this the weirdest shutdown you've ever been through? Twenty thirteen 265 00:12:27,320 --> 00:12:31,960 Speaker 1: and twenty eighteen, it was the biggest story in the world. Yeah, 266 00:12:32,000 --> 00:12:33,400 Speaker 1: front page of the New York Times, there's not a 267 00:12:33,480 --> 00:12:34,640 Speaker 1: single story about the shutdown. 268 00:12:34,679 --> 00:12:35,440 Speaker 4: Not one. Really. 269 00:12:35,480 --> 00:12:37,000 Speaker 1: I went to the front page of the Wall Street Journal. 270 00:12:37,120 --> 00:12:40,920 Speaker 1: Open ay is the leading story. Nobody cares. It's it's crazy. 271 00:12:41,200 --> 00:12:43,840 Speaker 1: I mean, look, this may be DC bias, but twenty 272 00:12:43,880 --> 00:12:46,880 Speaker 1: thirteen and twenty eighteen especially, I covered the White House 273 00:12:46,920 --> 00:12:51,000 Speaker 1: in twenty eighteen every single day shutdown, shutdown, shutdown, when 274 00:12:51,000 --> 00:12:52,640 Speaker 1: I was in the White House briefing room, shutdown, when 275 00:12:52,640 --> 00:12:54,880 Speaker 1: Trump was doing a press conference, all we're asking about 276 00:12:55,080 --> 00:12:56,880 Speaker 1: is a shutdown. If you were in the White House today, 277 00:12:56,920 --> 00:12:58,600 Speaker 1: if what's the number one question you would ask probably 278 00:12:58,600 --> 00:13:01,480 Speaker 1: Portland or GASA. I wouldn't ask Trump about the shutdown. 279 00:13:01,840 --> 00:13:05,880 Speaker 1: It's weird show end. Yeah, you're right, it's number four. 280 00:13:06,280 --> 00:13:10,080 Speaker 1: It doesn't feel like the stakes are high. And I 281 00:13:10,080 --> 00:13:12,320 Speaker 1: don't know, I mean, it's a weird situation, right, because 282 00:13:12,360 --> 00:13:14,320 Speaker 1: if you can shut the whole government down and nobody cares. 283 00:13:14,320 --> 00:13:16,440 Speaker 1: Did the government really shut down? I mean, I'm not 284 00:13:16,440 --> 00:13:18,840 Speaker 1: saying there won't really be effects or any of that, 285 00:13:18,880 --> 00:13:20,760 Speaker 1: but it is kind of an interesting question as to 286 00:13:21,440 --> 00:13:24,120 Speaker 1: the maybe maybe a lot of us are just in nerd. 287 00:13:24,400 --> 00:13:27,560 Speaker 1: We went through twenty eighteen not much change. Let's be honest, 288 00:13:27,559 --> 00:13:29,320 Speaker 1: it was the longest shutdown in American history is thirty 289 00:13:29,320 --> 00:13:31,480 Speaker 1: five days. I lived through it. Half of it was 290 00:13:31,480 --> 00:13:34,000 Speaker 1: through Christmas, So I guess people just kind of ignored it. 291 00:13:34,040 --> 00:13:37,880 Speaker 1: TASA still function, troops got paid whatever. Right, Maybe that's 292 00:13:37,920 --> 00:13:39,640 Speaker 1: just where we are now, like this is just baked 293 00:13:39,640 --> 00:13:42,040 Speaker 1: into the process, even though it's a sign of like 294 00:13:42,400 --> 00:13:46,120 Speaker 1: genuine small d democratic failure in terms of the republic. 295 00:13:46,160 --> 00:13:49,800 Speaker 1: But it's odd. I've been I've been trying to think 296 00:13:49,840 --> 00:13:51,640 Speaker 1: through it because I have on my old brain DC 297 00:13:51,760 --> 00:13:54,040 Speaker 1: brain for a shutdown where I'm like, oh, what about 298 00:13:54,200 --> 00:13:56,760 Speaker 1: a deal or a gang of nine or something. There's nothing, 299 00:13:56,840 --> 00:13:59,439 Speaker 1: nothing is happening. Everyone's out of town. Yeah, they're not 300 00:13:59,480 --> 00:13:59,920 Speaker 1: even here. 301 00:14:00,080 --> 00:14:02,520 Speaker 2: I think it's shut down fatigue from all these years 302 00:14:02,520 --> 00:14:06,720 Speaker 2: of shut down politics. I think it's also just, you know, 303 00:14:06,840 --> 00:14:09,480 Speaker 2: so many extraordinary things are being done in this in 304 00:14:09,559 --> 00:14:12,600 Speaker 2: Trump two point zero in particular that the bar for 305 00:14:13,000 --> 00:14:17,240 Speaker 2: like freak out is really high, and so and I 306 00:14:17,240 --> 00:14:19,880 Speaker 2: also think Doge plays in there too, where you had 307 00:14:19,960 --> 00:14:22,440 Speaker 2: all of these insane cuts and the hatchets and one 308 00:14:22,480 --> 00:14:25,320 Speaker 2: hundred thousand federal employees just resigned as part of that 309 00:14:25,440 --> 00:14:27,560 Speaker 2: like fork the road thing, their time was up. 310 00:14:27,840 --> 00:14:28,760 Speaker 4: That just happened. 311 00:14:28,840 --> 00:14:32,000 Speaker 2: And so, you know, these massive cuts to the federal 312 00:14:32,000 --> 00:14:34,600 Speaker 2: government that have happened on the Trump administration also just 313 00:14:34,600 --> 00:14:37,000 Speaker 2: feels sort of like, oh, you know, this is this 314 00:14:37,080 --> 00:14:39,400 Speaker 2: is what we're doing apparently, So I think that's part 315 00:14:39,440 --> 00:14:41,960 Speaker 2: of part of why I don't know, that's that's how 316 00:14:42,240 --> 00:14:44,520 Speaker 2: best I can figure it out, is just even in 317 00:14:44,560 --> 00:14:46,720 Speaker 2: my own sense of like, you know what I'm most 318 00:14:46,760 --> 00:14:51,320 Speaker 2: concerned about the shutdown, to me is important for Democrats 319 00:14:51,320 --> 00:14:52,920 Speaker 2: to take a stand because the only place they have 320 00:14:53,040 --> 00:14:53,960 Speaker 2: power and. 321 00:14:54,000 --> 00:14:55,000 Speaker 4: To try to fight back. 322 00:14:55,880 --> 00:14:58,840 Speaker 2: But I would say also the you know, the issue 323 00:14:58,880 --> 00:15:03,000 Speaker 2: suite that they picked is really important, very critical healthcare 324 00:15:03,000 --> 00:15:05,840 Speaker 2: for people. It's a place where you know, Democrats are 325 00:15:05,840 --> 00:15:08,880 Speaker 2: winning the rhetorical battle. People broadly support the expansion on 326 00:15:08,920 --> 00:15:11,680 Speaker 2: the ACA subsidies, et cetera. But it also doesn't get 327 00:15:11,720 --> 00:15:13,480 Speaker 2: to like the beating heart of what the base cares 328 00:15:13,520 --> 00:15:15,080 Speaker 2: about and so I think that's part of it as well. 329 00:15:15,120 --> 00:15:17,200 Speaker 1: Definitely, let's put the polling up there, shall we. Let's 330 00:15:17,200 --> 00:15:19,880 Speaker 1: just go ahead and skip forward D three guys, please, 331 00:15:20,120 --> 00:15:22,000 Speaker 1: and you can see how the government is handling the 332 00:15:22,040 --> 00:15:25,760 Speaker 1: shutdown for Trump a thirty two percent approval Representatives, twenty 333 00:15:25,760 --> 00:15:28,200 Speaker 1: eight Congressional Democrats. It is twenty seven people. 334 00:15:28,560 --> 00:15:31,160 Speaker 4: People don't like it. They just feel like, Okay, this 335 00:15:31,240 --> 00:15:33,560 Speaker 4: is the yea, this is dysfunction. 336 00:15:34,080 --> 00:15:36,680 Speaker 2: You know, that's generally how people feel about everybody involved. 337 00:15:36,760 --> 00:15:39,120 Speaker 1: Let's go to the next one, shall we and continue 338 00:15:39,160 --> 00:15:42,240 Speaker 1: concern about the government shutdown on the economy very concerned 339 00:15:42,280 --> 00:15:45,360 Speaker 1: forty nine percent, but everybody else either somewhat or not concerned. 340 00:15:45,520 --> 00:15:47,880 Speaker 1: Let's continue, and we can look at this are the 341 00:15:47,920 --> 00:15:51,240 Speaker 1: positions worth the government shutdown? Democratic position only twenty eight 342 00:15:51,280 --> 00:15:54,080 Speaker 1: percent say worth it. To Republican position only twenty three 343 00:15:54,080 --> 00:15:56,320 Speaker 1: percent say worth it. If you look at not worth it, 344 00:15:56,320 --> 00:15:58,920 Speaker 1: it's forty and forty five, and then not sure is 345 00:15:58,960 --> 00:16:02,920 Speaker 1: basically equally tied thirty percent. Continue, please, basically showing you 346 00:16:02,960 --> 00:16:05,280 Speaker 1: by the way that people are not fully on board 347 00:16:05,600 --> 00:16:07,840 Speaker 1: in terms of who's to blame for the government shutdown. 348 00:16:08,000 --> 00:16:10,280 Speaker 1: You have the plurality, thirty nine percent say Trump and 349 00:16:10,280 --> 00:16:13,400 Speaker 1: the Republicans thirty percent of the Democrats thirty one percent 350 00:16:13,440 --> 00:16:16,000 Speaker 1: say equally. So there's a lot of like eh either 351 00:16:16,040 --> 00:16:19,160 Speaker 1: Trump Democrats both equally going around kind of hatred of 352 00:16:19,160 --> 00:16:21,520 Speaker 1: the political system. And then finally let's go to the 353 00:16:21,560 --> 00:16:24,880 Speaker 1: last one among Democrats a congressional shutdown quote is it 354 00:16:24,960 --> 00:16:28,200 Speaker 1: worth it? Forty forty eight percent say yes, which to me, 355 00:16:28,360 --> 00:16:31,760 Speaker 1: that's a huge messaging failure from the Democratic party. 356 00:16:31,480 --> 00:16:34,880 Speaker 2: Grade because you know, with your own people it should 357 00:16:34,920 --> 00:16:35,440 Speaker 2: be higher. 358 00:16:35,520 --> 00:16:37,320 Speaker 1: You need to be in the ninety If if you 359 00:16:37,360 --> 00:16:40,160 Speaker 1: had polled Republicans at the height of the twenty thirteen shutdown, 360 00:16:40,280 --> 00:16:42,840 Speaker 1: was it worth it? I could guarantee you it would 361 00:16:42,880 --> 00:16:43,880 Speaker 1: have been like eighty or ninety. 362 00:16:43,920 --> 00:16:44,480 Speaker 4: Oh you think so. 363 00:16:45,240 --> 00:16:48,240 Speaker 1: During that Tea Party wave, the Obama of the hatred, 364 00:16:48,560 --> 00:16:51,280 Speaker 1: where everybody was they were ready, They were like, we 365 00:16:51,400 --> 00:16:52,280 Speaker 1: are done. 366 00:16:52,560 --> 00:16:55,840 Speaker 2: And this is where I do feel like the you know, 367 00:16:55,880 --> 00:16:57,960 Speaker 2: what the base wants them to make a stand on 368 00:16:58,120 --> 00:17:00,520 Speaker 2: is like National Guard needs to be out of our cities, 369 00:17:00,560 --> 00:17:05,040 Speaker 2: like those sorts of the authoritarian crack down pieces. That's 370 00:17:05,040 --> 00:17:07,080 Speaker 2: where the energy is with the base of basically like 371 00:17:07,160 --> 00:17:10,920 Speaker 2: you can't fund this authoritarian government. And so the healthcare 372 00:17:10,920 --> 00:17:15,639 Speaker 2: piece is smart for a like general audience messaging, and 373 00:17:15,720 --> 00:17:17,399 Speaker 2: it does put Trump in a bit of a bind 374 00:17:17,400 --> 00:17:19,360 Speaker 2: and the Republicans in a bit of a bind because 375 00:17:20,040 --> 00:17:22,040 Speaker 2: you know, the fact that healthcare is to get about 376 00:17:22,040 --> 00:17:25,080 Speaker 2: to get wildly more expensive is genuinely a bad thing 377 00:17:25,119 --> 00:17:27,879 Speaker 2: for them. That's like a really it's like a you know, 378 00:17:28,320 --> 00:17:31,000 Speaker 2: red flashing light that is blinking. That is about to 379 00:17:31,000 --> 00:17:33,520 Speaker 2: be a major political problem for them. So they do 380 00:17:33,560 --> 00:17:37,760 Speaker 2: have some incentive to deal with that and be able 381 00:17:37,800 --> 00:17:40,680 Speaker 2: to extend those subsidies and not have those. 382 00:17:40,480 --> 00:17:41,520 Speaker 4: Issues for the midterms. 383 00:17:41,560 --> 00:17:44,439 Speaker 2: You've got some frontline Republicans who are in swing districts 384 00:17:44,480 --> 00:17:46,240 Speaker 2: who feel like, let's just go ahead and you know, 385 00:17:46,560 --> 00:17:49,439 Speaker 2: and go ahead and extend these subsidies as well. But 386 00:17:50,119 --> 00:17:53,359 Speaker 2: if you're trying to energize your own people and like 387 00:17:53,480 --> 00:17:56,439 Speaker 2: have them committed to this and really be on board 388 00:17:56,520 --> 00:17:58,239 Speaker 2: and we're like going to the mat and we're not 389 00:17:58,280 --> 00:18:01,360 Speaker 2: going to cave, et cetera, it's not really quite it's 390 00:18:01,400 --> 00:18:02,040 Speaker 2: not quite. 391 00:18:01,800 --> 00:18:02,359 Speaker 4: The right message. 392 00:18:02,359 --> 00:18:04,560 Speaker 2: It's very focused to as it's very like what pulls 393 00:18:04,560 --> 00:18:08,000 Speaker 2: the best what's our best strategic tactical advantage. I understand it. 394 00:18:08,000 --> 00:18:09,680 Speaker 2: And by the way, I'm not saying it's not important. 395 00:18:09,880 --> 00:18:11,720 Speaker 2: I'm just saying in terms of where the energy and 396 00:18:11,800 --> 00:18:13,240 Speaker 2: the base is, this is not really it. 397 00:18:13,280 --> 00:18:15,280 Speaker 1: Do we have that tweet about being weak? Do we 398 00:18:15,359 --> 00:18:17,040 Speaker 1: have that yeh, which you mentioned? 399 00:18:17,240 --> 00:18:19,680 Speaker 4: Yeah, maybe I can just talk about it, Okay. 400 00:18:19,960 --> 00:18:24,760 Speaker 2: So they asked people like what words best describe the 401 00:18:24,960 --> 00:18:28,920 Speaker 2: two parties, and I think they gave them some choices. 402 00:18:28,960 --> 00:18:30,800 Speaker 2: So it wasn't just like free form. They gave them 403 00:18:30,800 --> 00:18:34,840 Speaker 2: some choices. So the number one word describing the Democratic 404 00:18:34,880 --> 00:18:38,960 Speaker 2: Party at sixty four percent is weak, and the one 405 00:18:39,040 --> 00:18:43,280 Speaker 2: word describing the Republican Party at fifty nine percent is extreme. 406 00:18:43,840 --> 00:18:46,600 Speaker 2: And so that's kind of I mean, I think that's 407 00:18:46,600 --> 00:18:49,080 Speaker 2: how people view these parties. It's like the Democrats are 408 00:18:49,119 --> 00:18:53,200 Speaker 2: weak and lifeless, Chuck Schumer, King Jeffreys, not exactly inspiring 409 00:18:53,240 --> 00:18:56,399 Speaker 2: any confidence in literally anyone at this point, and then 410 00:18:56,480 --> 00:18:59,080 Speaker 2: the Republicans are like off their rockers doing all this 411 00:18:59,160 --> 00:19:01,960 Speaker 2: crazy stuff, but they're strong. You know, there's the next 412 00:19:02,000 --> 00:19:06,399 Speaker 2: one down for Republicans is strong. So that's yeah, you know, 413 00:19:06,600 --> 00:19:08,639 Speaker 2: that's kind of the way that people are viewing this. 414 00:19:08,920 --> 00:19:12,160 Speaker 2: And yeah, I mean, I do think that's the biggest problem, 415 00:19:12,359 --> 00:19:14,119 Speaker 2: and that's what people don't understand. Not to go too 416 00:19:14,160 --> 00:19:16,720 Speaker 2: far afield, but that's what people don't understand about the 417 00:19:16,760 --> 00:19:19,680 Speaker 2: appeal of Zoran is that or even like you know, 418 00:19:19,720 --> 00:19:23,359 Speaker 2: you brought up Graham Platin earlier, but putting aside like 419 00:19:23,400 --> 00:19:25,439 Speaker 2: the content of the policy, there's a sense that these 420 00:19:25,520 --> 00:19:28,040 Speaker 2: guys like know what they believe in, They're willing to 421 00:19:28,080 --> 00:19:30,240 Speaker 2: take heat over it, They're willing to take a stand, 422 00:19:30,320 --> 00:19:33,280 Speaker 2: et cetera. And that is so sorely lacking within the 423 00:19:33,280 --> 00:19:36,520 Speaker 2: Democratic Party. I do think that just like a content 424 00:19:36,600 --> 00:19:38,800 Speaker 2: free sense of this is a person who has a 425 00:19:38,840 --> 00:19:40,639 Speaker 2: strong view of the world and is willing to stand 426 00:19:40,680 --> 00:19:44,080 Speaker 2: on a principle is a big part of their appeal. 427 00:19:44,440 --> 00:19:45,840 Speaker 1: I need to see it in a more bad That's 428 00:19:45,840 --> 00:19:48,439 Speaker 1: why I'm I'm watching Graham much closer than is New 429 00:19:48,520 --> 00:19:50,280 Speaker 1: York is a blue city like look, no offense to 430 00:19:50,320 --> 00:19:51,800 Speaker 1: the guy. I think he ran a good campaign. Good 431 00:19:51,800 --> 00:19:54,280 Speaker 1: for him. I want to see it work in like 432 00:19:54,320 --> 00:19:57,399 Speaker 1: an actual polarizing state or you know, a place where 433 00:19:57,520 --> 00:20:00,120 Speaker 1: Republicans have won in the past. That's where I'm curious 434 00:20:00,119 --> 00:20:02,400 Speaker 1: to see what that brand and all of that will 435 00:20:02,440 --> 00:20:05,479 Speaker 1: end up looking like, because that's the ultimate question of 436 00:20:06,000 --> 00:20:10,560 Speaker 1: can you actually oppose the National Party on in your 437 00:20:10,600 --> 00:20:13,320 Speaker 1: own state and overcome that in the way that the 438 00:20:13,320 --> 00:20:15,359 Speaker 1: Tea Party Republicans were, or you're just going to be 439 00:20:15,359 --> 00:20:17,440 Speaker 1: looked at as a normal Democrat if that makes sense. 440 00:20:17,560 --> 00:20:19,719 Speaker 2: Yeah, well that's I mean, that would be their greatest 441 00:20:19,720 --> 00:20:22,760 Speaker 2: appeal is just like you're willing to actually stand up 442 00:20:22,800 --> 00:20:25,120 Speaker 2: to the Democratic Party and separate yourself from them because 443 00:20:25,119 --> 00:20:26,359 Speaker 2: they have a terrible, terrible tale and. 444 00:20:26,359 --> 00:20:28,200 Speaker 1: We shout out Crystal for the core power forty two 445 00:20:28,240 --> 00:20:31,280 Speaker 1: gram I freaking love them. Yeah, they are the best. 446 00:20:31,400 --> 00:20:35,159 Speaker 1: They're like it is a magic elixir of those whatever 447 00:20:35,200 --> 00:20:37,520 Speaker 1: that drink is. Nope, nope, we're not getting paid for this. 448 00:20:37,960 --> 00:20:39,240 Speaker 1: I have a case of those in my house. I 449 00:20:39,280 --> 00:20:42,280 Speaker 1: freaking love them. 450 00:20:42,480 --> 00:20:45,160 Speaker 2: So Van Junes on with Bill Maher over the weekend 451 00:20:45,400 --> 00:20:50,160 Speaker 2: and decided to make a joke about dead Gaza babies 452 00:20:50,320 --> 00:20:53,480 Speaker 2: and his words showing up in everybody's social media feeds. 453 00:20:53,600 --> 00:20:54,879 Speaker 4: Let's go ahead and take a listen to that. 454 00:20:55,400 --> 00:20:58,639 Speaker 5: I love this conversation because I think people, those of 455 00:20:58,720 --> 00:21:01,119 Speaker 5: us who went to college, give a lot more credit 456 00:21:01,160 --> 00:21:03,880 Speaker 5: to college courses for how the world works than I do. 457 00:21:04,280 --> 00:21:06,959 Speaker 5: This is not about critical race theory on cosge campus. 458 00:21:07,000 --> 00:21:10,760 Speaker 5: This is about Iran. Iran and Cutter have come up 459 00:21:10,800 --> 00:21:14,080 Speaker 5: with a disinformation campaign that they are running through TikTok 460 00:21:14,160 --> 00:21:17,520 Speaker 5: and Instagram that is massive. If you are a young person, 461 00:21:17,560 --> 00:21:19,760 Speaker 5: you open up your phone and all you see is dead, 462 00:21:19,760 --> 00:21:23,600 Speaker 5: Gods of Baby, dead, Gods of Baby dead, Gud's baby Diddy, dead, 463 00:21:23,640 --> 00:21:25,120 Speaker 5: Gods of baby. 464 00:21:26,720 --> 00:21:28,080 Speaker 4: That's basically. 465 00:21:30,920 --> 00:21:34,679 Speaker 1: So that's not that's not DEI. 466 00:21:35,119 --> 00:21:38,159 Speaker 5: That is a Geoplan liversary. That is that is that 467 00:21:38,280 --> 00:21:40,600 Speaker 5: is deliberately trying to divide the West against set. 468 00:21:41,440 --> 00:21:44,280 Speaker 2: There is so much to say about this. First of all, 469 00:21:44,480 --> 00:21:46,800 Speaker 2: there's zero evidence that any of this has to do 470 00:21:46,880 --> 00:21:50,919 Speaker 2: with an Iranian or Katari disinformation campaign. But these are 471 00:21:50,960 --> 00:21:52,960 Speaker 2: the sorts of things that you can just casually throw 472 00:21:52,960 --> 00:21:55,680 Speaker 2: around and people just accept it rather than, oh, I 473 00:21:55,760 --> 00:21:59,119 Speaker 2: don't know the fact that most Americans are horrified by 474 00:21:59,160 --> 00:22:03,000 Speaker 2: the idea of our tax dollars going to murder Gaza babies. 475 00:22:03,240 --> 00:22:06,119 Speaker 2: Maybe that's a big part of why people are sharing 476 00:22:06,200 --> 00:22:09,240 Speaker 2: that content and are feeling the horror at the morally 477 00:22:09,320 --> 00:22:12,480 Speaker 2: compromised position that we as American taxpayers are being put 478 00:22:12,560 --> 00:22:14,760 Speaker 2: in here. That's number one. Number two, you got Thomas 479 00:22:14,800 --> 00:22:16,359 Speaker 2: Friedman and Bill Maher both their. 480 00:22:16,320 --> 00:22:18,600 Speaker 1: Chuckling giggling number four and the audience. 481 00:22:18,680 --> 00:22:20,359 Speaker 2: You have the audience, I will say, having been on 482 00:22:20,400 --> 00:22:22,200 Speaker 2: the show, they like tell the audience when to laugh. 483 00:22:22,400 --> 00:22:25,840 Speaker 4: But it's non excuse. But I'm not saying what dot 484 00:22:25,880 --> 00:22:26,640 Speaker 4: what's going on there? 485 00:22:26,760 --> 00:22:29,760 Speaker 1: We don't dock them. But guys, you got to think 486 00:22:29,800 --> 00:22:30,719 Speaker 1: about that one a little bit. 487 00:22:31,440 --> 00:22:35,280 Speaker 2: Van felt enough pressure that he did put out this apology, 488 00:22:35,440 --> 00:22:37,320 Speaker 2: sort of put this up on the screen. He said, 489 00:22:37,320 --> 00:22:39,280 Speaker 2: I made a comment on Real Time with Bill Maher 490 00:22:39,359 --> 00:22:41,679 Speaker 2: about the war in Gaza that was insensitive and hurtful. 491 00:22:41,680 --> 00:22:44,640 Speaker 4: I apologize. The suffering the people of Gaza, especially the children. 492 00:22:44,720 --> 00:22:47,400 Speaker 2: Is not a punchline. I'm deeply sorry it came across 493 00:22:47,520 --> 00:22:47,960 Speaker 2: that way. 494 00:22:48,720 --> 00:22:49,320 Speaker 5: No, it was. 495 00:22:49,520 --> 00:22:51,800 Speaker 2: You meant it as a punchline. It was supposed to 496 00:22:51,840 --> 00:22:54,399 Speaker 2: be a laugh line anyway. What's happening to children in 497 00:22:54,440 --> 00:22:56,760 Speaker 2: Gaza is heartbreaking. As a father, I can't begin to 498 00:22:56,760 --> 00:22:59,359 Speaker 2: imagine the pain their parents are enduring, unable to protect 499 00:22:59,359 --> 00:23:01,640 Speaker 2: their kids from un imaginable harm. I'm praying and working 500 00:23:01,680 --> 00:23:03,639 Speaker 2: for immediate and to this war, and for peace and 501 00:23:03,720 --> 00:23:06,159 Speaker 2: safety for every family call in its path. I'm truly 502 00:23:06,280 --> 00:23:08,520 Speaker 2: sorry for the pain my words caused to people who 503 00:23:08,560 --> 00:23:12,000 Speaker 2: are already suffering more than anyone should. So okay, so 504 00:23:12,119 --> 00:23:15,520 Speaker 2: he felt pressure to apologize, but he still does not 505 00:23:15,680 --> 00:23:20,040 Speaker 2: take back this narrative that the reason why, yeah, you're 506 00:23:20,080 --> 00:23:26,119 Speaker 2: seeing atrocities in your feed is because of some foreign misinformation. 507 00:23:26,960 --> 00:23:28,880 Speaker 4: Like propaganda, psyop. 508 00:23:29,480 --> 00:23:32,320 Speaker 2: And I think it's really important that we sit with 509 00:23:32,440 --> 00:23:35,040 Speaker 2: that at a time when you know, it's official now 510 00:23:35,160 --> 00:23:35,800 Speaker 2: Barry Weist is. 511 00:23:35,760 --> 00:23:37,640 Speaker 4: Going to be editor in chief of CBS. 512 00:23:38,400 --> 00:23:41,480 Speaker 2: It's got, you know, Oracle, the Ellison's and Fox News 513 00:23:41,560 --> 00:23:45,399 Speaker 2: taking over TikTok and already reportedly some censorship that is 514 00:23:45,440 --> 00:23:48,240 Speaker 2: occurring there. And we could put the Allison just so 515 00:23:48,359 --> 00:23:50,919 Speaker 2: you know what their deal is, put E three up 516 00:23:50,960 --> 00:23:54,600 Speaker 2: on the screen. Oracle executives say love Israel, or maybe 517 00:23:54,640 --> 00:23:56,879 Speaker 2: this isn't the job for you. They were like sending 518 00:23:56,960 --> 00:24:00,879 Speaker 2: people who objected to the companies just all in pro 519 00:24:01,080 --> 00:24:04,200 Speaker 2: Israel stance for mental health resources, like there was something 520 00:24:04,320 --> 00:24:06,560 Speaker 2: wrong with you if you just didn't agree with that. 521 00:24:06,680 --> 00:24:09,000 Speaker 2: So anyway, those are the people who are buying TikTok. 522 00:24:09,440 --> 00:24:13,159 Speaker 2: And it would not surprise me if the justification that 523 00:24:13,320 --> 00:24:17,879 Speaker 2: they use for increased censorship of pro Palestinian views is 524 00:24:17,960 --> 00:24:20,360 Speaker 2: exactly what Van Jones is pushing here. 525 00:24:20,600 --> 00:24:23,520 Speaker 1: Yeah, I mean, if we're going to be real, real here, 526 00:24:23,760 --> 00:24:27,879 Speaker 1: like who's the number one spreader of foreign propaganda on 527 00:24:28,080 --> 00:24:31,040 Speaker 1: social media? Be honest, Like, especially in the wake of 528 00:24:31,119 --> 00:24:32,800 Speaker 1: October seventh, what I got to go through all the 529 00:24:32,840 --> 00:24:35,440 Speaker 1: hoaxes that we have had to drip through over the 530 00:24:35,520 --> 00:24:36,240 Speaker 1: last three years. 531 00:24:36,320 --> 00:24:39,439 Speaker 4: That they're paying influencers seven thousand dollars per post. 532 00:24:39,640 --> 00:24:41,920 Speaker 1: Yeah, I do. I want to see more documentation on 533 00:24:41,960 --> 00:24:43,880 Speaker 1: that one because it seems so insane, but I would 534 00:24:43,920 --> 00:24:46,120 Speaker 1: not put it past them, right at the very least. 535 00:24:46,440 --> 00:24:48,720 Speaker 1: Who do you think if we were to say that 536 00:24:48,800 --> 00:24:52,159 Speaker 1: there is foreign influence over American politics? Is there? What 537 00:24:52,440 --> 00:24:56,680 Speaker 1: country comes even close to Israel? There's not a single one. 538 00:24:57,080 --> 00:24:59,720 Speaker 1: And yet he's like this is some Katari or foreign 539 00:24:59,720 --> 00:25:02,280 Speaker 1: dis information op. I don't know. I mean, I just 540 00:25:02,320 --> 00:25:04,760 Speaker 1: think this is massive cope on the part of a 541 00:25:04,840 --> 00:25:07,840 Speaker 1: lot of the pro Israel community. They just can't fathom 542 00:25:07,960 --> 00:25:10,360 Speaker 1: that a lot of people just aren't buying their bullshit anymore. Yeah, 543 00:25:10,440 --> 00:25:12,399 Speaker 1: and you know the fact, I guess you're right. You know, 544 00:25:12,480 --> 00:25:15,160 Speaker 1: he felt like you had to apologize, And I don't 545 00:25:15,320 --> 00:25:20,280 Speaker 1: love what aboutism necessarily, let's say, in October nineteenth, if 546 00:25:20,320 --> 00:25:23,160 Speaker 1: you had the balls to go on the Bill mahersh 547 00:25:23,480 --> 00:25:26,160 Speaker 1: Show and say everything a time I opened my social 548 00:25:26,240 --> 00:25:29,120 Speaker 1: media feed, it's oven baby, oven baby, oven baby? Can 549 00:25:29,240 --> 00:25:30,480 Speaker 1: you imagine? 550 00:25:31,040 --> 00:25:31,320 Speaker 3: Can you? 551 00:25:31,920 --> 00:25:34,439 Speaker 1: And by the way, that, from what we know so far, 552 00:25:34,960 --> 00:25:37,800 Speaker 1: was not true? Correct? All right? And according to Haretz 553 00:25:37,960 --> 00:25:39,760 Speaker 1: and ask chat ept if you want. 554 00:25:39,720 --> 00:25:43,720 Speaker 2: To, don't buying that particular disabler. 555 00:25:43,720 --> 00:25:46,720 Speaker 1: Okay, but I mean, can you imagine how you canceled 556 00:25:46,760 --> 00:25:48,520 Speaker 1: you would be if you said that about it? Which, 557 00:25:48,640 --> 00:25:51,480 Speaker 1: by the way, it was true because they spread that 558 00:25:52,119 --> 00:25:56,720 Speaker 1: overwhelmingly to the entire American population, to everybody on social media. 559 00:25:56,720 --> 00:25:59,160 Speaker 1: It's everybody who engaged in politics, so that they wouldn't 560 00:25:59,200 --> 00:26:01,360 Speaker 1: so that they would say thing like, yeah, but what's 561 00:26:01,359 --> 00:26:03,920 Speaker 1: happening in Gaza's horrific? But did you see what happened 562 00:26:03,920 --> 00:26:07,240 Speaker 1: on October seventh? That's still the line that they use today. 563 00:26:07,680 --> 00:26:09,760 Speaker 1: I don't know. So you know, it's like if we're 564 00:26:09,800 --> 00:26:11,520 Speaker 1: gonna be if we're gonna be able to laugh and 565 00:26:11,600 --> 00:26:14,159 Speaker 1: all of that at everybody, which I'm actually fine with 566 00:26:14,520 --> 00:26:18,040 Speaker 1: as long as it's equally distributed. I don't see, I 567 00:26:18,080 --> 00:26:21,080 Speaker 1: don't see a world where today you could take to 568 00:26:21,240 --> 00:26:23,080 Speaker 1: the Bill Maher airwaves and say what I just said, 569 00:26:23,359 --> 00:26:26,480 Speaker 1: like on October to nineteenth, which is crazy because Bill himself. 570 00:26:26,160 --> 00:26:28,280 Speaker 4: Bill wouldn't be there chuckling, that's for sure, right, And but. 571 00:26:28,440 --> 00:26:31,920 Speaker 1: Bill, this is what's so nuts. Bill himself was canceled 572 00:26:32,000 --> 00:26:34,879 Speaker 1: September seventeenth, two thousand and one, for saying that, actually, 573 00:26:35,000 --> 00:26:38,120 Speaker 1: we're the cowards because we launched missiles into the Middle East, 574 00:26:38,160 --> 00:26:40,159 Speaker 1: and it seems like it's not cowardly to crash a 575 00:26:40,160 --> 00:26:42,840 Speaker 1: plane into the twin towers. So he said that once 576 00:26:42,960 --> 00:26:45,240 Speaker 1: upon a time, and yet now his show seems to 577 00:26:45,280 --> 00:26:46,760 Speaker 1: be part of the same machine. 578 00:26:47,760 --> 00:26:51,120 Speaker 2: There's something to be said to about Van's journey. Let's say, 579 00:26:51,160 --> 00:26:53,679 Speaker 2: I mean this guy, yes, this guy was. 580 00:26:53,680 --> 00:26:55,480 Speaker 1: One hundred mill from Bezos spies a lot. 581 00:26:55,680 --> 00:27:00,560 Speaker 2: They are a Maoist radical signed some sort of nine 582 00:27:00,600 --> 00:27:04,960 Speaker 2: to eleven Truther type conspiracy letter was alleged to kick 583 00:27:05,040 --> 00:27:07,400 Speaker 2: down of the Obama administration because he was too extreme 584 00:27:07,920 --> 00:27:12,800 Speaker 2: and now like and by the way, specifically on Israel Palestine, 585 00:27:13,080 --> 00:27:16,199 Speaker 2: called for Palestinian liberation I believe called it an apartheid. 586 00:27:16,320 --> 00:27:19,600 Speaker 1: I mean, he was wow in the like to go 587 00:27:19,760 --> 00:27:20,840 Speaker 1: from apart tip left. 588 00:27:21,560 --> 00:27:22,479 Speaker 4: The lefty position. 589 00:27:22,920 --> 00:27:25,000 Speaker 2: He had some I don't know, I saw some people 590 00:27:25,040 --> 00:27:28,399 Speaker 2: sharing in some like like Liberation rap album or something 591 00:27:28,440 --> 00:27:30,720 Speaker 2: where he was talking about Palestine. I mean he was 592 00:27:31,320 --> 00:27:34,120 Speaker 2: on the left, like truly on the left. And then 593 00:27:34,280 --> 00:27:36,280 Speaker 2: you know, then he's in Obama World. Then he's on 594 00:27:36,400 --> 00:27:39,160 Speaker 2: CNN and he's getting a hundred million from Jeff Bezos 595 00:27:39,480 --> 00:27:44,560 Speaker 2: and he appeared at that like pro Israel marche early on. 596 00:27:46,600 --> 00:27:50,240 Speaker 2: Yeah exactly, and it's like, bro, I just I don't know. 597 00:27:50,640 --> 00:27:52,960 Speaker 2: I don't, Well, the whole world is going the opposite direction. 598 00:27:53,400 --> 00:27:54,160 Speaker 4: Well, the whole world. 599 00:27:54,320 --> 00:27:57,240 Speaker 2: How many people, you know, including Emily's talked about this, 600 00:27:57,320 --> 00:27:59,040 Speaker 2: how many people have had their eyes open to like 601 00:27:59,200 --> 00:28:01,440 Speaker 2: what this state is and what it's doing and their 602 00:28:01,520 --> 00:28:03,280 Speaker 2: lives and their propaganda, et cetera. 603 00:28:03,640 --> 00:28:04,960 Speaker 4: And you're going in the other direction. 604 00:28:05,000 --> 00:28:06,080 Speaker 1: I don't count myself in that, Gud. 605 00:28:06,080 --> 00:28:06,359 Speaker 3: I don't know. 606 00:28:07,119 --> 00:28:08,280 Speaker 1: I didn't hate Israel before this. 607 00:28:08,480 --> 00:28:10,440 Speaker 4: I like heut myself in that. 608 00:28:11,320 --> 00:28:13,639 Speaker 2: I you know, I had the critica, you know, apartheid, 609 00:28:13,720 --> 00:28:15,960 Speaker 2: all of that, but in terms of like just how 610 00:28:16,119 --> 00:28:17,359 Speaker 2: sick it was, I did not. 611 00:28:17,600 --> 00:28:18,680 Speaker 4: I did not understand. 612 00:28:18,800 --> 00:28:21,479 Speaker 1: I was not I was totally I was genuinely neutral. 613 00:28:21,520 --> 00:28:23,479 Speaker 1: I didn't care. I didn't support military eight or any 614 00:28:23,520 --> 00:28:25,720 Speaker 1: of that. I don't know to sport military to most places. 615 00:28:25,760 --> 00:28:28,480 Speaker 1: But yeah, to see it now, I'm like, oh my god. 616 00:28:28,920 --> 00:28:32,760 Speaker 1: So congratulations to Barry Weisse with all that new editor 617 00:28:32,880 --> 00:28:35,800 Speaker 1: chief over at CBS. By the way she sent out 618 00:28:35,880 --> 00:28:37,679 Speaker 1: we'll probably talk about this tomorrow, but she sent out 619 00:28:37,720 --> 00:28:40,400 Speaker 1: a letter of ten journalistic principles, and the first one 620 00:28:40,560 --> 00:28:43,320 Speaker 1: is journalism that reports on the world as it actually is. 621 00:28:43,680 --> 00:28:46,800 Speaker 1: So that's number one, all right, got it? So well, 622 00:28:46,840 --> 00:28:49,760 Speaker 1: preview a little show maybe what we'll talk about tomorrow. 623 00:28:49,880 --> 00:28:51,760 Speaker 1: All right, thank you guys so much for watching. Sorry 624 00:28:51,800 --> 00:28:53,280 Speaker 1: we went over time, but that's what we do here. 625 00:28:53,800 --> 00:28:54,640 Speaker 1: We'll see you tomorrow.