1 00:00:00,920 --> 00:00:04,000 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:04,080 --> 00:00:06,520 Speaker 1: it impossible to function as a society and to know 3 00:00:06,559 --> 00:00:09,320 Speaker 1: what is true and what is false. The good news 4 00:00:09,400 --> 00:00:11,440 Speaker 1: is that they're failing and they know it. That is 5 00:00:11,440 --> 00:00:15,440 Speaker 1: why we're building something new. Be part of creating a new, better, healthier, 6 00:00:15,480 --> 00:00:18,560 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:18,560 --> 00:00:22,119 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:22,160 --> 00:00:24,000 Speaker 1: is going to help us build for the midterms and 9 00:00:24,040 --> 00:00:28,000 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:28,000 --> 00:00:29,240 Speaker 1: of what is sure to be one of the most 11 00:00:29,240 --> 00:00:32,920 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:33,120 --> 00:00:38,839 Speaker 1: Go to Breakingpoints dot com to help us out. All right, 13 00:00:38,960 --> 00:00:42,400 Speaker 1: So shall we engage in some totally shameless speculation that 14 00:00:42,440 --> 00:00:44,800 Speaker 1: you'll be able to instantly hold us against us when 15 00:00:44,840 --> 00:00:48,720 Speaker 1: we're totally wrong on no memory. Your favorite game, it's 16 00:00:48,720 --> 00:00:51,680 Speaker 1: my favorite thing, is to make a bunch of predictions 17 00:00:51,720 --> 00:00:53,760 Speaker 1: that are inevitably going to be proven wrong, which we 18 00:00:53,800 --> 00:00:56,279 Speaker 1: always see in the comments. Yes, I do occasionally read 19 00:00:56,320 --> 00:01:00,720 Speaker 1: the comments. Yeah, for sure it is wrong. I really 20 00:01:00,760 --> 00:01:04,960 Speaker 1: don't my egos to fragile. I'm sorry, guys, it's not 21 00:01:05,000 --> 00:01:08,720 Speaker 1: because I don't love you, all right, So to set 22 00:01:08,800 --> 00:01:12,679 Speaker 1: us up, I pulled a few of the latest polls 23 00:01:12,959 --> 00:01:17,360 Speaker 1: from the key midterm swing states, specifically for the Senate. 24 00:01:18,440 --> 00:01:23,160 Speaker 1: We had a poll from Trafalgar, which is right leaning, 25 00:01:23,280 --> 00:01:25,840 Speaker 1: but to be honest with you, they've been probably more accurate. 26 00:01:25,920 --> 00:01:28,720 Speaker 1: And then the mainstream polsters in the last election they 27 00:01:28,720 --> 00:01:31,840 Speaker 1: weren't one hundred percent, but more accurate probably. They had 28 00:01:31,920 --> 00:01:35,920 Speaker 1: in Ohio, which has been surprisingly competitive at least in 29 00:01:35,959 --> 00:01:39,880 Speaker 1: terms of the polling, they had J. D. Evans up three, 30 00:01:40,000 --> 00:01:45,040 Speaker 1: and in Pennsylvania they have John Fetterman over doctor Oz 31 00:01:45,480 --> 00:01:50,400 Speaker 1: by two. Okay, so that one is tightened up for sure. 32 00:01:50,920 --> 00:01:55,640 Speaker 1: Down in Georgia, there was just an Atlanta Journal Constitution 33 00:01:55,880 --> 00:02:00,000 Speaker 1: poll that had Warnock up by three on herschel Walk 34 00:02:00,560 --> 00:02:02,920 Speaker 1: and that's about where that race has been the whole time. 35 00:02:04,640 --> 00:02:07,240 Speaker 1: I looked at the latest five thirty eight model. This 36 00:02:07,360 --> 00:02:09,600 Speaker 1: is the like fancy dancy one that has all their 37 00:02:09,760 --> 00:02:12,119 Speaker 1: not just the polls, but all their analysis and their 38 00:02:12,160 --> 00:02:15,680 Speaker 1: fundament whatever they do. And they have right now Democrats 39 00:02:15,880 --> 00:02:19,640 Speaker 1: slightly favored to keep the Senate sixty five thirty five, 40 00:02:19,800 --> 00:02:23,520 Speaker 1: and they have Republicans strongly favored to win the House 41 00:02:23,960 --> 00:02:28,200 Speaker 1: seventy one twenty nine. So that's sort of the latest 42 00:02:28,320 --> 00:02:30,800 Speaker 1: data that we have, so much as you can, you know, 43 00:02:30,840 --> 00:02:33,000 Speaker 1: read into that grains of salt all the way around. 44 00:02:33,360 --> 00:02:35,280 Speaker 1: So Sager, what do you think is going to happen? 45 00:02:35,320 --> 00:02:37,280 Speaker 1: All right, at the risk of looking like a complete 46 00:02:37,280 --> 00:02:39,440 Speaker 1: moron and having to do one of my famous this 47 00:02:39,520 --> 00:02:42,680 Speaker 1: is what I Got wrong monologue, which I do. Actually, 48 00:02:42,800 --> 00:02:44,840 Speaker 1: they're very endearing when you do. I do really enjoy 49 00:02:44,919 --> 00:02:47,720 Speaker 1: doing them. Okay, honestly, I think it's gonna by the way, 50 00:02:47,800 --> 00:02:50,360 Speaker 1: this is descriptive analysis. I think it's going to be 51 00:02:50,360 --> 00:02:52,200 Speaker 1: a complete red wave. I think the Republicans are going 52 00:02:52,240 --> 00:02:53,960 Speaker 1: to win every single one of these seats. I'll tell 53 00:02:53,960 --> 00:02:55,359 Speaker 1: you why. Look, by the way, you may not be 54 00:02:55,400 --> 00:02:57,120 Speaker 1: happy about it, but I'll just say, look, at the 55 00:02:57,200 --> 00:02:59,960 Speaker 1: end of the day, sometimes fundamentals are the fucking fundamental. 56 00:03:00,360 --> 00:03:03,400 Speaker 1: You have high inflation. Inflation number just came in high. 57 00:03:03,520 --> 00:03:06,679 Speaker 1: You have high gas prices. What did I just read everybody? 58 00:03:06,880 --> 00:03:10,280 Speaker 1: You have general social malcontent? Is that? Is that a 59 00:03:10,360 --> 00:03:13,280 Speaker 1: nice way of putting in of what exactly is happening 60 00:03:13,480 --> 00:03:16,160 Speaker 1: across the country. You have high crime. Now I'm not 61 00:03:16,200 --> 00:03:18,840 Speaker 1: saying necessarily it's anybody's fault, but it exists, and that 62 00:03:18,919 --> 00:03:21,880 Speaker 1: we know in the nineteen seventies, certain flashback to something 63 00:03:21,919 --> 00:03:23,880 Speaker 1: I just talked about the last time that this happened, 64 00:03:23,960 --> 00:03:26,520 Speaker 1: we had a major Republican victory, and then fourth or 65 00:03:26,600 --> 00:03:30,160 Speaker 1: fifth you have the party in power almost always loses. 66 00:03:30,560 --> 00:03:32,200 Speaker 1: What was the data that you said, It was like 67 00:03:32,320 --> 00:03:35,680 Speaker 1: it would they would have to outperform eighteen ninety six, 68 00:03:36,160 --> 00:03:39,960 Speaker 1: like the best midterm result in like one hundred years. 69 00:03:40,480 --> 00:03:43,480 Speaker 1: I don't. I think there's something like that. I know 70 00:03:43,560 --> 00:03:46,400 Speaker 1: that they would have to have a historically strong mid 71 00:03:46,520 --> 00:03:49,080 Speaker 1: term performance in order especially to hold onto the House. 72 00:03:49,400 --> 00:03:51,000 Speaker 1: The House, and I think, I mean the House. That 73 00:03:51,000 --> 00:03:53,680 Speaker 1: one's pretty obvious, Like I think that's gone for Democrats. 74 00:03:53,920 --> 00:03:58,680 Speaker 1: I gen you generally agree with your analysis, but I 75 00:03:58,720 --> 00:04:00,680 Speaker 1: don't think it. I think it's going to be close, though, 76 00:04:00,720 --> 00:04:03,200 Speaker 1: So I wouldn't call it a red wave. I think it. Honestly, 77 00:04:03,640 --> 00:04:06,080 Speaker 1: I'm gonna make a super specific prediction, which is a 78 00:04:06,120 --> 00:04:09,280 Speaker 1: really dumb thing to do. I think we could be 79 00:04:09,360 --> 00:04:12,640 Speaker 1: heading back into a situation where the fate of Senate 80 00:04:12,640 --> 00:04:16,520 Speaker 1: control comes down to a Georgia runoff. So you know, 81 00:04:16,839 --> 00:04:20,040 Speaker 1: I think it's fairly unlikely that either Walker or Warnock 82 00:04:20,120 --> 00:04:22,760 Speaker 1: gets to fifty percent. That means you're headed to a 83 00:04:22,839 --> 00:04:27,719 Speaker 1: runoff there. You look at, you know, Nevada, I think 84 00:04:27,839 --> 00:04:30,360 Speaker 1: I would probably say the Republican is more likely to 85 00:04:30,400 --> 00:04:33,840 Speaker 1: win there. But I think to counterbalance that, I do 86 00:04:33,880 --> 00:04:37,640 Speaker 1: think Fetterman hangs on in Pennsylvania. I think, you know, 87 00:04:37,680 --> 00:04:40,320 Speaker 1: the Ohio polls I still think are sort of fake. 88 00:04:40,360 --> 00:04:41,800 Speaker 1: I don't think that one's going to be as close 89 00:04:41,839 --> 00:04:45,919 Speaker 1: as people think. Wisconsin another Democratic hope, you know, with 90 00:04:46,040 --> 00:04:48,240 Speaker 1: Ron Johnson there that seems to already have sort of 91 00:04:48,640 --> 00:04:51,000 Speaker 1: collapsed for them. So I basically think you keep status 92 00:04:51,080 --> 00:04:54,440 Speaker 1: quo on a lot of these. You win, Fetterman wins 93 00:04:54,440 --> 00:05:00,520 Speaker 1: in Pennsylvania, the lady Catherine Cortez Masto in Nevada loses, 94 00:05:00,640 --> 00:05:03,560 Speaker 1: and then control of the Senate comes down to Georgia 95 00:05:04,000 --> 00:05:06,599 Speaker 1: runoff once again. So that's kind of what I'm thinking, 96 00:05:06,720 --> 00:05:08,840 Speaker 1: is like a weird election where it's not really a wave. 97 00:05:08,920 --> 00:05:12,240 Speaker 1: And I'll tell you why I think that, And again, guys, 98 00:05:12,640 --> 00:05:19,520 Speaker 1: who knows. Okay, I also just can't imagine a situation 99 00:05:19,920 --> 00:05:24,120 Speaker 1: where you have such bad numbers on the economy and 100 00:05:24,240 --> 00:05:26,440 Speaker 1: right track, wrong track, and then the party in power 101 00:05:26,480 --> 00:05:31,240 Speaker 1: does affirmatively well. Now, I do think Republicans have handicapped themselves. 102 00:05:31,320 --> 00:05:33,400 Speaker 1: I mean with all sorts of things like the abortion 103 00:05:33,480 --> 00:05:36,640 Speaker 1: positions are definitely a detriment for them. The extremism on 104 00:05:36,680 --> 00:05:39,279 Speaker 1: that issue has very much damaged their candidates. They picked 105 00:05:39,279 --> 00:05:41,560 Speaker 1: a bunch of bad candidates. Some of those things weigh 106 00:05:41,640 --> 00:05:44,200 Speaker 1: them down, so they won't have the wave in the 107 00:05:44,240 --> 00:05:47,440 Speaker 1: Senate that I think they could have absent those things. 108 00:05:48,000 --> 00:05:49,760 Speaker 1: But I mean, you got to think about this, like, 109 00:05:51,040 --> 00:05:55,240 Speaker 1: you're the party in power. People are overwhelmingly telling you 110 00:05:55,360 --> 00:05:58,680 Speaker 1: the economy is shit, and you don't even have an 111 00:05:58,720 --> 00:06:03,680 Speaker 1: economic message. They're not even running on an economic message. 112 00:06:03,920 --> 00:06:07,280 Speaker 1: That is political malpractice. It's insanity. Now, I'm not saying 113 00:06:07,279 --> 00:06:09,280 Speaker 1: the Republicans are offering, so they're not. They're not even 114 00:06:09,320 --> 00:06:11,839 Speaker 1: talking really about the economy either. They're all in on crime. 115 00:06:12,000 --> 00:06:16,160 Speaker 1: Democrats are all in on abortion, and meanwhile, the issue 116 00:06:16,200 --> 00:06:20,000 Speaker 1: that eighty percent of the country says is their number 117 00:06:20,040 --> 00:06:23,720 Speaker 1: one issue, none of these assholes have anything to say 118 00:06:23,720 --> 00:06:28,480 Speaker 1: about it. This is it's insane. It really is insane. 119 00:06:30,279 --> 00:06:31,960 Speaker 1: But I mean, if you're the Democrats and you're the 120 00:06:31,960 --> 00:06:34,240 Speaker 1: party in power, that means you're de facto ceding that 121 00:06:34,360 --> 00:06:37,919 Speaker 1: issue to the Republicans. Actually just saw there's a democratic 122 00:06:37,960 --> 00:06:40,560 Speaker 1: poultry sort of famed. He's like, you know, very famous 123 00:06:40,600 --> 00:06:43,520 Speaker 1: for his working class polling, in particular his names Stan Greenberg, 124 00:06:43,839 --> 00:06:46,200 Speaker 1: and he did a bunch of polling recently and he's 125 00:06:46,560 --> 00:06:48,680 Speaker 1: really sounding me alart. I mean, this is a Democrat. 126 00:06:49,160 --> 00:06:51,880 Speaker 1: And Bernie Sanders said similar things recently. He's like, you 127 00:06:52,279 --> 00:06:55,479 Speaker 1: have to run on the economy. If you don't, you're 128 00:06:55,520 --> 00:06:59,400 Speaker 1: going to lose. It's really super basic. So now, like 129 00:06:59,440 --> 00:07:01,040 Speaker 1: I said, I do, I think Republicans have sort of 130 00:07:01,080 --> 00:07:02,760 Speaker 1: like shot themselves in the foot in a few ways. 131 00:07:02,760 --> 00:07:04,200 Speaker 1: So that's why I don't think it's going to be 132 00:07:04,279 --> 00:07:07,919 Speaker 1: overwhelmingly red wave, but in general, bad year for Democrats 133 00:07:07,960 --> 00:07:10,080 Speaker 1: and comes down to a kind of a coin flip 134 00:07:10,120 --> 00:07:12,440 Speaker 1: in Georgia. That's my prediction today. I mean, and if 135 00:07:12,440 --> 00:07:14,320 Speaker 1: you put the meeting can change tomorrow. But that's how 136 00:07:14,320 --> 00:07:16,240 Speaker 1: I feel today. I think you're right. I mean, I 137 00:07:16,280 --> 00:07:18,520 Speaker 1: take all of that. I just I just think I 138 00:07:18,600 --> 00:07:20,880 Speaker 1: hate to say it, but not as not all people 139 00:07:20,920 --> 00:07:23,880 Speaker 1: are as enlightened as those in this room. And you know, 140 00:07:24,000 --> 00:07:26,240 Speaker 1: at the end of the day, for a lot of people, 141 00:07:26,400 --> 00:07:29,000 Speaker 1: it's just very simple, like I'm voting against the trend 142 00:07:29,040 --> 00:07:31,720 Speaker 1: that I see. Even if a guy literally can't speak 143 00:07:31,800 --> 00:07:35,400 Speaker 1: in Georgia and said some interesting things. In fact, we 144 00:07:35,400 --> 00:07:36,720 Speaker 1: had something we were going to play for all of you. 145 00:07:36,840 --> 00:07:40,040 Speaker 1: It was so indecipherable. That was like a game so incomprehensible. 146 00:07:41,000 --> 00:07:43,200 Speaker 1: I'm I'm not going to torture them. We just can't. 147 00:07:44,080 --> 00:07:46,280 Speaker 1: But I mean, look, that's just how it goes sometimes, 148 00:07:46,280 --> 00:07:48,480 Speaker 1: and again, like I don't want it to work that way. 149 00:07:48,520 --> 00:07:51,120 Speaker 1: And if anything, you know, again just to come back to, 150 00:07:51,160 --> 00:07:53,200 Speaker 1: like the message is that we got to give some 151 00:07:53,240 --> 00:07:55,840 Speaker 1: people something else to that eighty percent. If we could 152 00:07:55,880 --> 00:07:58,480 Speaker 1: actually argue about what to do about inflation, if we 153 00:07:58,520 --> 00:08:01,440 Speaker 1: could actually argue about how to meaningfully bring down gas 154 00:08:01,720 --> 00:08:04,680 Speaker 1: without just like dunks against each other, we would be 155 00:08:04,720 --> 00:08:06,440 Speaker 1: in a hell of a lot better place. But instead 156 00:08:06,600 --> 00:08:08,440 Speaker 1: it's all just you know, even the crime thing. Like 157 00:08:08,440 --> 00:08:10,520 Speaker 1: I'm not gonna deny obviously, but like I just came 158 00:08:10,560 --> 00:08:12,840 Speaker 1: to Chicago today and I get these stupid comments, you know, 159 00:08:12,880 --> 00:08:14,600 Speaker 1: every time everyone's like, oh my god, like, don't get 160 00:08:14,600 --> 00:08:17,640 Speaker 1: showed in Chicago. It's a beautiful city. Okay, it's a 161 00:08:17,640 --> 00:08:23,480 Speaker 1: beautiful fucking city. Are there problems. Yeah, there are problems, 162 00:08:23,480 --> 00:08:25,920 Speaker 1: but like just because you're you know, somewhere else, you 163 00:08:25,920 --> 00:08:27,520 Speaker 1: don't need to go like dank dunk on a bunch 164 00:08:27,520 --> 00:08:30,560 Speaker 1: of people, Like we're all living our fucking lives and 165 00:08:30,600 --> 00:08:33,120 Speaker 1: like that's the point is is that instead of using 166 00:08:33,160 --> 00:08:34,760 Speaker 1: it as a dunk, just be like, thank god, I 167 00:08:34,760 --> 00:08:36,720 Speaker 1: don't live in this shithole. It's like, well, how about 168 00:08:36,720 --> 00:08:38,320 Speaker 1: we make it better? How do we make it better 169 00:08:38,320 --> 00:08:43,719 Speaker 1: for all the people who live here? It's a great city. Yeah, 170 00:08:43,760 --> 00:08:47,680 Speaker 1: I mean to me, it says everything about our political 171 00:08:47,720 --> 00:08:51,720 Speaker 1: system that you have this election where the economy is 172 00:08:51,840 --> 00:08:56,600 Speaker 1: so critical, so important, and neither party has anything to say. 173 00:08:56,679 --> 00:08:59,480 Speaker 1: They're just all in on culture, all in on and 174 00:08:59,559 --> 00:09:01,600 Speaker 1: you know what, I care about these I'm not saying 175 00:09:01,600 --> 00:09:04,679 Speaker 1: that like abortion, crime aren't important, but there is an 176 00:09:04,679 --> 00:09:08,400 Speaker 1: issue that literally everyone is saying, I really care about this. 177 00:09:08,840 --> 00:09:11,000 Speaker 1: Nothing to say news of the day. I was like, 178 00:09:11,000 --> 00:09:13,240 Speaker 1: all right, we got to find something lighthearted here. Everything's 179 00:09:13,240 --> 00:09:17,080 Speaker 1: about Ukraine, nuke, nukes, nukes, snookes, nukes, digging deeper, I'm like, 180 00:09:17,120 --> 00:09:19,000 Speaker 1: what can we do? And so this is what we 181 00:09:19,080 --> 00:09:21,839 Speaker 1: settled on. And it gets very much to this, and look, 182 00:09:21,880 --> 00:09:24,840 Speaker 1: you know, no disrespect. But the ratings just came out 183 00:09:24,880 --> 00:09:27,520 Speaker 1: for CNN's Jake Tapper, his brand new show. It launched 184 00:09:27,520 --> 00:09:31,160 Speaker 1: two nights ago to great a plum primetime move, primetime 185 00:09:31,200 --> 00:09:34,080 Speaker 1: move nine PM slot. This is the coveted slot in 186 00:09:34,160 --> 00:09:35,920 Speaker 1: all of cable. And this isn't just about Jake, this 187 00:09:35,960 --> 00:09:38,520 Speaker 1: is about the entire medium. So I thought he I 188 00:09:38,559 --> 00:09:40,440 Speaker 1: would read to you some of the numbers that have 189 00:09:40,520 --> 00:09:42,360 Speaker 1: come in from this And just so you guys know 190 00:09:42,400 --> 00:09:45,040 Speaker 1: that he had an interview with the President of United States. 191 00:09:45,200 --> 00:09:47,839 Speaker 1: All right, this used to be one of those flagship things. 192 00:09:48,080 --> 00:09:51,960 Speaker 1: How many people decided to tune in? Well, okay, so 193 00:09:52,160 --> 00:09:55,520 Speaker 1: it was more than one million less than John Annity's 194 00:09:55,559 --> 00:09:59,559 Speaker 1: Fox News. It was half of MSNBC. But my personal 195 00:09:59,640 --> 00:10:02,200 Speaker 1: favorite is when you actually dig into what the advertisers 196 00:10:02,240 --> 00:10:05,800 Speaker 1: over there actually care about young people. So actually shout out, 197 00:10:05,880 --> 00:10:09,160 Speaker 1: if you're between twenty five and fifty four, go ahead, 198 00:10:09,840 --> 00:10:12,320 Speaker 1: all right, so a shit ton of the people here, 199 00:10:12,559 --> 00:10:14,600 Speaker 1: the audience, shit shit ton of the people here. No 200 00:10:14,760 --> 00:10:18,959 Speaker 1: disrespect to anybody over below that yayay or below above whatever. 201 00:10:19,040 --> 00:10:21,600 Speaker 1: It's all good. We welcome any and all stripes. He 202 00:10:21,640 --> 00:10:26,160 Speaker 1: got just two hundred and eleven thousand people in that demographic, 203 00:10:26,400 --> 00:10:30,120 Speaker 1: so it means an interview with the president, interviews in 204 00:10:30,160 --> 00:10:33,120 Speaker 1: primetime with the president. And the crazy thing is he 205 00:10:33,240 --> 00:10:36,160 Speaker 1: actually beat MSNBC, which had over two and a half 206 00:10:36,200 --> 00:10:39,120 Speaker 1: million people watching their show that had only one hundred 207 00:10:39,200 --> 00:10:43,559 Speaker 1: and forty four thousand people. What's so insane is that, Look, 208 00:10:43,880 --> 00:10:45,760 Speaker 1: I'm not going to claim that we're bigger than these people, 209 00:10:45,920 --> 00:10:49,400 Speaker 1: but breaking points, ninety five percent of our audience is 210 00:10:49,440 --> 00:10:52,000 Speaker 1: in that key demographic and we get well over a 211 00:10:52,040 --> 00:10:58,480 Speaker 1: million for every single show that we do. And it's 212 00:10:59,120 --> 00:11:01,720 Speaker 1: not about us think Look, they are powerful in so 213 00:11:01,760 --> 00:11:03,880 Speaker 1: many different ways. But the point is is that this 214 00:11:04,040 --> 00:11:06,439 Speaker 1: is something to be celebrated, not just as a dunk 215 00:11:06,440 --> 00:11:10,240 Speaker 1: on Jake, but about the entire medium and artifice, the 216 00:11:10,360 --> 00:11:13,640 Speaker 1: structure that kept a lot of us down, that covered 217 00:11:13,640 --> 00:11:15,080 Speaker 1: for a lot of the people who robbed us, and 218 00:11:15,120 --> 00:11:17,800 Speaker 1: what I was talking about earlier, it's falling apart. I 219 00:11:17,840 --> 00:11:19,560 Speaker 1: saw a lot of you guys really appreciated what we 220 00:11:19,559 --> 00:11:23,319 Speaker 1: were talking about late night, and again no disrespect Trevor Noah, 221 00:11:23,320 --> 00:11:27,440 Speaker 1: but that guy lost a million viewers in seven years 222 00:11:27,880 --> 00:11:31,360 Speaker 1: a million? How does something like that even get propped up? 223 00:11:31,559 --> 00:11:35,560 Speaker 1: Colbert is the same. He's literally he has broadcast TV Crystal, 224 00:11:35,559 --> 00:11:39,560 Speaker 1: which is a genuine government monopoly, and he's losing the 225 00:11:39,600 --> 00:11:42,880 Speaker 1: fucking Greg Gutfield on Fox News. I mean, these are 226 00:11:43,640 --> 00:11:47,400 Speaker 1: zombie outlets with a zombie business model. I mean that 227 00:11:47,400 --> 00:11:49,880 Speaker 1: doesn't mean they're not going to continue for a long time. 228 00:11:50,360 --> 00:11:54,800 Speaker 1: But CNN and MSNBC, in particular, their new executives, and 229 00:11:54,840 --> 00:11:57,360 Speaker 1: both of them have new executives in charge, they are 230 00:11:57,440 --> 00:12:00,440 Speaker 1: overtly putting them into a managed decline. Yes, I mean 231 00:12:00,559 --> 00:12:03,400 Speaker 1: with over at CNN, you know, with the move of 232 00:12:03,520 --> 00:12:05,760 Speaker 1: Jake Tapper, and they put Don Lemon in the warning, 233 00:12:05,800 --> 00:12:08,480 Speaker 1: they move John Burman somewhere else, like they're just shift 234 00:12:08,720 --> 00:12:13,120 Speaker 1: literally shifting deck chairs on the Titanic. They're not trying anything. 235 00:12:13,160 --> 00:12:15,400 Speaker 1: Their big play with CNN Plus and we also, hell 236 00:12:15,520 --> 00:12:19,679 Speaker 1: that went right. So so ultimately they've just decided, all right, 237 00:12:19,720 --> 00:12:22,280 Speaker 1: we're going to try to cut down the budget. We're 238 00:12:22,320 --> 00:12:25,199 Speaker 1: not going for any big splashy place, We're not trying 239 00:12:25,200 --> 00:12:27,040 Speaker 1: to do the new new thing. We're just going to 240 00:12:27,120 --> 00:12:30,280 Speaker 1: try to hold on to the increasingly small scraps of 241 00:12:30,320 --> 00:12:33,120 Speaker 1: what we've got left. And you have this legacy model 242 00:12:33,160 --> 00:12:35,840 Speaker 1: where advertisers in the cable companies still pay them more 243 00:12:35,880 --> 00:12:39,200 Speaker 1: than what they're actually getting is actually worth. That'll persist 244 00:12:39,320 --> 00:12:41,360 Speaker 1: for some amount of time. They have, of course, tons 245 00:12:41,360 --> 00:12:44,160 Speaker 1: of elite cashing, incredibly powerful in terms of all of that, 246 00:12:44,720 --> 00:12:48,920 Speaker 1: but they're ha managed to climb over at MSNBC Rachel Maddow, 247 00:12:49,240 --> 00:12:52,080 Speaker 1: you know, the quarterback of the network right. Whatever you 248 00:12:52,120 --> 00:12:53,960 Speaker 1: think of her, and we certainly have lots of thoughts 249 00:12:54,040 --> 00:12:57,679 Speaker 1: on her, she was the only person there who actually 250 00:12:57,720 --> 00:13:01,240 Speaker 1: could pull in an audience. They didn't even try to 251 00:13:01,360 --> 00:13:03,680 Speaker 1: replace her. They brought an Alice Wagner, who actually was 252 00:13:03,679 --> 00:13:06,439 Speaker 1: at MSNBC back when I was at MSNBC, and she 253 00:13:07,720 --> 00:13:10,280 Speaker 1: they know that her show there did not perform. There's 254 00:13:10,320 --> 00:13:12,480 Speaker 1: a reason that she got canceled from the network before. 255 00:13:13,160 --> 00:13:17,520 Speaker 1: So to fill in for their big primetime quarterback, they 256 00:13:17,559 --> 00:13:21,400 Speaker 1: put in someone that they know is a proven loser. 257 00:13:22,360 --> 00:13:24,520 Speaker 1: That's what managed decline looks like. They can pay her 258 00:13:24,520 --> 00:13:26,960 Speaker 1: a lot less. She doesn't mind being bigfooted when they 259 00:13:27,000 --> 00:13:29,600 Speaker 1: can shove Rachel back in or for other you know, 260 00:13:29,640 --> 00:13:33,600 Speaker 1: big network coverage events. It's pretty incredible when you realize 261 00:13:33,600 --> 00:13:38,160 Speaker 1: that even they know their ship is sinking. So this 262 00:13:38,360 --> 00:13:41,920 Speaker 1: is why we believe so passionately what we're building here, 263 00:13:41,960 --> 00:13:44,920 Speaker 1: because we think this is the beginning of something, and 264 00:13:45,000 --> 00:13:48,240 Speaker 1: if we can have something that is true and honest 265 00:13:48,280 --> 00:13:50,320 Speaker 1: and really tries to grapple with the issues that are 266 00:13:50,320 --> 00:13:52,600 Speaker 1: facing the country in the world in a serious way 267 00:13:52,640 --> 00:13:54,680 Speaker 1: and have some fun while we're at it, try to 268 00:13:54,840 --> 00:13:57,040 Speaker 1: every day a little bit. You know, how much of 269 00:13:57,080 --> 00:13:58,960 Speaker 1: about our place would the country be in if we 270 00:13:59,120 --> 00:14:01,679 Speaker 1: just came at it from that and not everything corrupted 271 00:14:01,679 --> 00:14:04,840 Speaker 1: by corporations and profit and fucking big pharma ad every 272 00:14:04,880 --> 00:14:10,400 Speaker 1: time you turn around. You know, the single biggest compliment 273 00:14:10,840 --> 00:14:13,880 Speaker 1: that we get is when I hear from people and 274 00:14:13,920 --> 00:14:16,560 Speaker 1: they're like, you change my relationship with my dad, like 275 00:14:16,640 --> 00:14:20,200 Speaker 1: your show, You change my relationship with my relatives who 276 00:14:20,200 --> 00:14:22,960 Speaker 1: I thought differently from because it was one of those 277 00:14:23,000 --> 00:14:25,840 Speaker 1: things where they were just glued to Fox, glued to MSNBC. 278 00:14:26,240 --> 00:14:28,800 Speaker 1: The dining table would turn into a shouting match, and 279 00:14:28,800 --> 00:14:31,920 Speaker 1: it's the acrimony, the bitterness that it would cause in 280 00:14:32,000 --> 00:14:35,880 Speaker 1: people's households was genuinely ripping and tearing people apart. And 281 00:14:35,920 --> 00:14:38,600 Speaker 1: you multiply that by millions, and that's how we got here. 282 00:14:38,840 --> 00:14:40,680 Speaker 1: And the whole point is that, look, it's not just 283 00:14:40,680 --> 00:14:43,240 Speaker 1: about breaking points. It's about independence, it's about the fact 284 00:14:43,280 --> 00:14:46,640 Speaker 1: that the country can change for the better. It's just 285 00:14:46,760 --> 00:14:49,520 Speaker 1: the revolution is literally here. It just doesn't feel like 286 00:14:49,560 --> 00:14:52,320 Speaker 1: it yet, and it will come. It will come very 287 00:14:52,440 --> 00:14:54,680 Speaker 1: very slowly. It can feel for people like us who 288 00:14:54,720 --> 00:14:57,640 Speaker 1: are enlightened now. But at a certain point, you know, 289 00:14:57,680 --> 00:15:00,920 Speaker 1: the zombie, it basically has to fall, like somebody's got 290 00:15:00,960 --> 00:15:02,600 Speaker 1: to shoot it in the head with a shotgun. I 291 00:15:02,600 --> 00:15:07,840 Speaker 1: don't know who that person is. Not literally, guys, somebody 292 00:15:07,880 --> 00:15:12,600 Speaker 1: some media matters is going to clip that. So we're 293 00:15:12,680 --> 00:15:19,040 Speaker 1: experimenting with something new here, guys, so bear with us. 294 00:15:19,560 --> 00:15:21,640 Speaker 1: But we really wanted to give you, guys a chance 295 00:15:21,680 --> 00:15:25,640 Speaker 1: to help to program the show. So we picked three 296 00:15:25,680 --> 00:15:29,280 Speaker 1: topics that you can choose from. And I'll let Sager, 297 00:15:29,320 --> 00:15:30,960 Speaker 1: I'll let you shut it up because I think there's 298 00:15:30,960 --> 00:15:33,920 Speaker 1: a certain order what there's there's This is far more 299 00:15:33,920 --> 00:15:37,720 Speaker 1: complicated than it should be, however, Uh, you have to 300 00:15:37,760 --> 00:15:41,640 Speaker 1: text breaking points in all caps one one, one, one 301 00:15:41,680 --> 00:15:44,800 Speaker 1: word to the number in front of you two, two, three, 302 00:15:44,880 --> 00:15:48,040 Speaker 1: three three. After you do so and join our session, 303 00:15:48,280 --> 00:15:51,280 Speaker 1: you can then choose a b n C and I 304 00:15:51,280 --> 00:15:54,760 Speaker 1: will be narrating the results as they come in yes, 305 00:15:54,920 --> 00:15:58,280 Speaker 1: all right, So step one, get on your phone, yes, 306 00:15:58,960 --> 00:16:04,160 Speaker 1: get out your phone up to go to the text thing. Okay. 307 00:16:04,800 --> 00:16:07,000 Speaker 1: Step three this is how I would need it, explain 308 00:16:07,080 --> 00:16:08,720 Speaker 1: to me. That's what I'm doing it this way. Okay. 309 00:16:09,200 --> 00:16:12,880 Speaker 1: Step three put this number here two, two, three, three 310 00:16:13,000 --> 00:16:18,000 Speaker 1: three in the like who it's going to line? Okay, 311 00:16:18,120 --> 00:16:20,600 Speaker 1: Then what you're going to type in the text is 312 00:16:20,640 --> 00:16:26,560 Speaker 1: what breaking breaking points all caps one one one, no 313 00:16:26,640 --> 00:16:37,280 Speaker 1: space all one word all right, your phone alright, breaking 314 00:16:37,320 --> 00:16:40,040 Speaker 1: points one one one, all caps to the number in 315 00:16:40,080 --> 00:16:42,240 Speaker 1: front of you, and then a B or C. Okay, 316 00:16:42,320 --> 00:16:45,880 Speaker 1: Currently we have B is winning by sixty seven percent. 317 00:16:47,440 --> 00:16:50,640 Speaker 1: Wait and let me let me explain. So economy, we're 318 00:16:50,640 --> 00:16:53,040 Speaker 1: going to talk a little bit about the latest numbers. 319 00:16:53,520 --> 00:16:57,440 Speaker 1: I m F warning, Elon Musk, we're talking about Starlink, 320 00:16:57,560 --> 00:17:01,320 Speaker 1: not Twitter. The starlink thing is what we're thinking of 321 00:17:01,480 --> 00:17:03,280 Speaker 1: talking about. Or two if you want, yeah, we get it. 322 00:17:03,360 --> 00:17:05,320 Speaker 1: Whatever if you want us to talk about that week. Okay, 323 00:17:05,359 --> 00:17:07,560 Speaker 1: Elon is actually winning right now forty six percent. Forty 324 00:17:07,720 --> 00:17:13,240 Speaker 1: perree is just the presidential primary twenty twenty four horse race. 325 00:17:13,600 --> 00:17:16,399 Speaker 1: We can be terrible, to be alive and sentient. Is 326 00:17:16,440 --> 00:17:20,080 Speaker 1: Trump going to be in prison. If you want to 327 00:17:20,080 --> 00:17:21,879 Speaker 1: hear a crazy prediction, we can do C. If you 328 00:17:21,880 --> 00:17:24,080 Speaker 1: want to talk about Elon, we could do B A. 329 00:17:24,040 --> 00:17:27,000 Speaker 1: All right, So A is currently eighteen percent, B forty three. 330 00:17:27,119 --> 00:17:30,040 Speaker 1: C is inching up thirty nine he's forty one. A 331 00:17:30,240 --> 00:17:32,879 Speaker 1: is now inching up. I feel like an auctioneer. Okay, 332 00:17:33,000 --> 00:17:35,680 Speaker 1: Elon is going up forty two percent, thirty nine percent 333 00:17:35,720 --> 00:17:38,960 Speaker 1: percentum press nineteen percent for A that the tech is working. 334 00:17:39,119 --> 00:17:42,920 Speaker 1: See c's jedging out, is edging it out, see is 335 00:17:42,960 --> 00:17:46,600 Speaker 1: surging forty one forty people, put your put your votes in, 336 00:17:46,800 --> 00:17:49,000 Speaker 1: put your boats in. We've got hundreds and hundreds of 337 00:17:49,040 --> 00:17:50,919 Speaker 1: votes that are coming in. Okay, okay, okay, forty one 338 00:17:51,000 --> 00:17:53,879 Speaker 1: forty forty A right, all right, we're gonna go with 339 00:17:54,040 --> 00:17:57,240 Speaker 1: c CEE by a very short margin forty two percent, 340 00:17:57,480 --> 00:18:01,280 Speaker 1: thirty nine percent and nineteen percent. Thank you. Also, yes, 341 00:18:00,720 --> 00:18:06,000 Speaker 1: I don't really feel like talking about Elon musk so again, 342 00:18:06,240 --> 00:18:10,600 Speaker 1: so thank you. Okay. So here's the little newspeg we'll 343 00:18:10,680 --> 00:18:12,600 Speaker 1: use as an excuse to get into this twenty twenty 344 00:18:12,680 --> 00:18:15,560 Speaker 1: four situation and saga. I'll kick it over to you. 345 00:18:15,640 --> 00:18:18,760 Speaker 1: All right, there are a bunch of debates this week. 346 00:18:18,800 --> 00:18:20,240 Speaker 1: I don't know if you guys watch any of them 347 00:18:20,280 --> 00:18:24,280 Speaker 1: for the key Senate races, and one of them was 348 00:18:24,400 --> 00:18:27,199 Speaker 1: Tim Ryan versus JdE Vance this week or last week, 349 00:18:27,240 --> 00:18:31,240 Speaker 1: I don't remember anyway. In that debate, Tim Rynd was 350 00:18:31,240 --> 00:18:34,240 Speaker 1: actually asked if you wanted Joe Biden to run for president, 351 00:18:34,240 --> 00:18:37,240 Speaker 1: and he was very clear. He was like, no. I mean, 352 00:18:37,920 --> 00:18:39,840 Speaker 1: I think for Tim not to get too much into this, 353 00:18:39,960 --> 00:18:41,720 Speaker 1: but for him, he sees Ohio it's more of a 354 00:18:41,760 --> 00:18:44,560 Speaker 1: red state at this point. He feels like there's political 355 00:18:44,640 --> 00:18:47,600 Speaker 1: calculation made here to distance himself from Biden. His critique 356 00:18:47,680 --> 00:18:49,680 Speaker 1: is just like we need generational change, which I always 357 00:18:49,680 --> 00:18:51,760 Speaker 1: think is sort of like sort of bullshit, even though 358 00:18:51,760 --> 00:18:54,560 Speaker 1: I understand people's concerns with his age, but it contains 359 00:18:54,560 --> 00:18:57,280 Speaker 1: no content. But anyway, the reason I think this is 360 00:18:57,359 --> 00:19:00,919 Speaker 1: notable is because he's not the first one. There's been 361 00:19:00,960 --> 00:19:04,119 Speaker 1: a bunch of Democrats who have, even though Biden's the 362 00:19:04,160 --> 00:19:07,040 Speaker 1: incumbent and even though he's you know, supposedly their guy, 363 00:19:07,600 --> 00:19:09,920 Speaker 1: who have blatantly said they don't want him to run again. 364 00:19:10,320 --> 00:19:14,320 Speaker 1: And then you also have polls that routinely say even 365 00:19:14,320 --> 00:19:18,000 Speaker 1: if you just are asking Democrats a overwhelming majority of 366 00:19:18,040 --> 00:19:22,080 Speaker 1: Democrats say we don't want him again. And what's interesting is, 367 00:19:22,080 --> 00:19:25,439 Speaker 1: you know, on the Republican side, there's some discontent with Trump, 368 00:19:25,440 --> 00:19:28,000 Speaker 1: but overwhelmingly he's still his control of that party. So 369 00:19:28,040 --> 00:19:31,280 Speaker 1: you have the media that is mostly talking about, oh 370 00:19:31,400 --> 00:19:33,400 Speaker 1: is desant is going to catch up to trom what's 371 00:19:33,440 --> 00:19:35,359 Speaker 1: going on there? And I'm looking around him like the 372 00:19:35,440 --> 00:19:38,080 Speaker 1: one over here on the Democrat side is the one 373 00:19:38,080 --> 00:19:42,280 Speaker 1: that's actually more vulnerable. So anyway, that's how I'll set 374 00:19:42,359 --> 00:19:44,760 Speaker 1: up the twenty twenty four debate what he thinks saga 375 00:19:44,800 --> 00:19:46,720 Speaker 1: is going to happen. I think the craziest thing is 376 00:19:46,720 --> 00:19:49,040 Speaker 1: that despite all of that, when seventy percent of the 377 00:19:49,119 --> 00:19:51,520 Speaker 1: Dems don't want you to run, who are they gonna pick? 378 00:19:51,720 --> 00:19:53,880 Speaker 1: You listened to the clips that we played, We're gonna 379 00:19:53,880 --> 00:19:57,880 Speaker 1: play fake Obama Pete Budajeedge like we're gonna par or 380 00:19:57,880 --> 00:20:03,200 Speaker 1: fake Obama Beato or Baco Cory Booker or how many 381 00:20:03,280 --> 00:20:05,200 Speaker 1: of these make Why do they all have to speak 382 00:20:05,200 --> 00:20:07,640 Speaker 1: the same? Have you guys noticed that? It's completely crazy. 383 00:20:07,760 --> 00:20:10,280 Speaker 1: It's like, just be a real person and they can't 384 00:20:10,280 --> 00:20:14,119 Speaker 1: say that they're literally fake. And when you consider the 385 00:20:14,119 --> 00:20:17,200 Speaker 1: bench You're like, well, maybe he, like you know, has 386 00:20:17,240 --> 00:20:20,560 Speaker 1: trouble stringing a sentence together and so much more. But 387 00:20:21,280 --> 00:20:24,399 Speaker 1: he at least, I mean, doesn't seem one hundred percent 388 00:20:24,480 --> 00:20:26,520 Speaker 1: as full of shit as the rest of these people. 389 00:20:26,920 --> 00:20:30,520 Speaker 1: And that's all thick and muster. And the craziest thing is, like, Okay, 390 00:20:30,520 --> 00:20:32,280 Speaker 1: on the Republican side, I'm sure you know, whatever you 391 00:20:32,320 --> 00:20:34,280 Speaker 1: think of Ron DeSantis, all that all you have to 392 00:20:34,320 --> 00:20:36,359 Speaker 1: do is go and look at a poll. It's like 393 00:20:36,480 --> 00:20:39,760 Speaker 1: fifty two percent people who are for Trump. Every time 394 00:20:39,760 --> 00:20:43,240 Speaker 1: he gets indicted or a closer to indictment, his numbers 395 00:20:43,240 --> 00:20:46,119 Speaker 1: literally go up in the Republican Party. And you're like, well, 396 00:20:46,240 --> 00:20:48,600 Speaker 1: I think that we should probably just look at this. 397 00:20:48,720 --> 00:20:51,840 Speaker 1: And yet Paul Ryan, former Speaker of the House, Great American, right, 398 00:20:51,880 --> 00:20:54,119 Speaker 1: he did a lot of good first, okay that that 399 00:20:54,240 --> 00:20:59,000 Speaker 1: tax cut for rich people in corporations than so Paul 400 00:20:59,560 --> 00:21:01,760 Speaker 1: was just as this two days ago and he said 401 00:21:01,880 --> 00:21:05,919 Speaker 1: the twenty twenty four Republican nominee will not be Donald Trump. 402 00:21:06,119 --> 00:21:09,840 Speaker 1: It will either be Ron DeSantis, it will either be 403 00:21:10,359 --> 00:21:16,040 Speaker 1: uh Tim Scott for it will be nude gingrich. What 404 00:21:16,200 --> 00:21:20,119 Speaker 1: I was like, what, that's a curveball. So I'm just like, 405 00:21:20,200 --> 00:21:22,040 Speaker 1: not see that one coming. If I see some shit 406 00:21:22,160 --> 00:21:23,399 Speaker 1: like that, I'm like, all right, it's just gonna be 407 00:21:23,400 --> 00:21:26,560 Speaker 1: Trump like it. I like, after I've heard all of this, Yeah, 408 00:21:26,560 --> 00:21:28,840 Speaker 1: I lived through the same fucking story at two thousand 409 00:21:28,880 --> 00:21:30,840 Speaker 1: and six. It's a lot of wishcasting and a lot 410 00:21:30,880 --> 00:21:33,480 Speaker 1: of wishcasting. I mean, look, you know again, whatever you 411 00:21:33,480 --> 00:21:35,320 Speaker 1: think of Trump, and look, maybe he actually we'll get 412 00:21:35,320 --> 00:21:38,560 Speaker 1: indicted and that'll change all of this up right now, 413 00:21:39,000 --> 00:21:42,240 Speaker 1: Joe Biden's approval rating in Georgia is thirty one percent, 414 00:21:42,880 --> 00:21:45,640 Speaker 1: no matter who wins down there. What's his approval rating 415 00:21:45,680 --> 00:21:49,480 Speaker 1: in Pennsylvania It's like thirty five percent. Wisconsin, I heard 416 00:21:49,520 --> 00:21:52,520 Speaker 1: it's an important state. Yeah, nearby, guess what it's like 417 00:21:52,880 --> 00:21:56,080 Speaker 1: thirty eight percent, under forty or five. But this is 418 00:21:56,119 --> 00:21:59,000 Speaker 1: the thing that's so crazy, is like, we are very 419 00:21:59,080 --> 00:22:02,000 Speaker 1: likely to end up the Joe Biden Donald Trump rematch. 420 00:22:02,080 --> 00:22:04,560 Speaker 1: They're no guarantees, but it's very likely at this point, 421 00:22:04,680 --> 00:22:07,159 Speaker 1: and both of them have approval ratings setting like this. 422 00:22:07,520 --> 00:22:09,960 Speaker 1: You have this country and they're like, no, we don't 423 00:22:09,960 --> 00:22:11,920 Speaker 1: want either of these people. And then it's like, well, 424 00:22:11,920 --> 00:22:15,280 Speaker 1: here you go. Here they are again. Good luck enjoy, 425 00:22:15,520 --> 00:22:18,720 Speaker 1: enjoy your choices in our great democracy. So sadly, I 426 00:22:18,720 --> 00:22:20,879 Speaker 1: think that's what our failed system is going to produce. 427 00:22:20,960 --> 00:22:23,199 Speaker 1: I think it's going to give us Joe Biden and 428 00:22:23,240 --> 00:22:25,600 Speaker 1: Donald Trump again. And honestly, look, Joe Biden came what 429 00:22:25,680 --> 00:22:28,320 Speaker 1: forty one thousand votes away from even losing joy, you know, 430 00:22:28,320 --> 00:22:30,520 Speaker 1: and a lot of people don't actually even consider how 431 00:22:30,520 --> 00:22:34,399 Speaker 1: small the margins in Georgia, in Arizona even were. Like 432 00:22:34,680 --> 00:22:36,760 Speaker 1: all it takes is a little roll of the dice 433 00:22:36,880 --> 00:22:41,080 Speaker 1: and things go completely different. If Trump had actually leaned 434 00:22:41,119 --> 00:22:44,160 Speaker 1: into getting his people to mail and vote, he probably 435 00:22:44,160 --> 00:22:49,440 Speaker 1: would have won. Just that one change, it almost definitely 436 00:22:49,440 --> 00:22:51,439 Speaker 1: would have changed the result in Georgia. I used to 437 00:22:51,440 --> 00:22:52,840 Speaker 1: know the numbers on the top of our head. If 438 00:22:52,840 --> 00:22:54,360 Speaker 1: you guys been watching for a while, you probably heard 439 00:22:54,400 --> 00:22:56,480 Speaker 1: us talk about this a lot. But there were a 440 00:22:56,560 --> 00:22:59,840 Speaker 1: lot of Republican primary voters who voted in the primary 441 00:22:59,880 --> 00:23:02,960 Speaker 1: by mail and then just didn't vote in the general 442 00:23:03,000 --> 00:23:05,400 Speaker 1: election because there had been so much like, oh, mail 443 00:23:05,400 --> 00:23:07,000 Speaker 1: in ballots and you got to vote in person whatever, 444 00:23:07,000 --> 00:23:09,920 Speaker 1: and they just didn't show up. Just that margin alone 445 00:23:10,119 --> 00:23:12,439 Speaker 1: would have changed the result in the state of Georgia. 446 00:23:12,880 --> 00:23:16,879 Speaker 1: So Yeah, it was that close. And I guess in 447 00:23:16,960 --> 00:23:21,000 Speaker 1: terms of what I think my I suspect your prediction 448 00:23:21,200 --> 00:23:24,280 Speaker 1: is the most likely outcome. And obviously this is a 449 00:23:24,400 --> 00:23:27,240 Speaker 1: real fool's Errand because this is an eternity in politics 450 00:23:27,280 --> 00:23:31,240 Speaker 1: we're talking about, we're facing down some incredibly significant global situations. 451 00:23:31,280 --> 00:23:33,720 Speaker 1: I'll just say, without bringing up the N word again, 452 00:23:36,720 --> 00:23:42,720 Speaker 1: that's definitely going to get clipped out of context. Anyway. 453 00:23:42,760 --> 00:23:48,000 Speaker 1: It was like knowing you guys before I got canceled. Anyway, 454 00:23:48,359 --> 00:23:50,560 Speaker 1: You're gonna have all kinds of things happen. But I 455 00:23:50,560 --> 00:23:53,520 Speaker 1: do think that's the most likely outcome. But if you 456 00:23:53,560 --> 00:23:55,479 Speaker 1: were going to switch out one of these people, I 457 00:23:55,520 --> 00:23:58,919 Speaker 1: think Joe Biden is more vulnerable, and especially I mean, 458 00:23:59,240 --> 00:24:01,119 Speaker 1: this is just according to the numbers. This is no 459 00:24:01,359 --> 00:24:04,000 Speaker 1: like political genius. This is just based on the numbers 460 00:24:04,040 --> 00:24:06,600 Speaker 1: of his standing in the Democratic Party versus Trump standing 461 00:24:06,600 --> 00:24:09,840 Speaker 1: in the Republican Party. Joe Biden has a much weaker position, 462 00:24:10,280 --> 00:24:12,720 Speaker 1: even though he is the incumbent. Now. I don't think 463 00:24:12,760 --> 00:24:16,880 Speaker 1: any established Democratic politician would have the balls to challenge him, 464 00:24:17,240 --> 00:24:19,240 Speaker 1: but I think you could have an outsider challenge him, 465 00:24:19,280 --> 00:24:24,040 Speaker 1: and I think they'd have a shot, especially well Bernie. 466 00:24:24,600 --> 00:24:27,359 Speaker 1: Bernie has already said he's not gonna run if his 467 00:24:27,359 --> 00:24:33,080 Speaker 1: friend Joe is running, which you know, we'll see Mary 468 00:24:33,080 --> 00:24:37,040 Speaker 1: And I like that suggestion personally, not crystal ball, thank you, 469 00:24:37,080 --> 00:24:42,240 Speaker 1: though it's very flat. But let me just say, let 470 00:24:42,240 --> 00:24:44,800 Speaker 1: me just say this, though, I think a lot depends 471 00:24:45,000 --> 00:24:49,520 Speaker 1: on how the midterms do go, because Biden's whole thing 472 00:24:49,960 --> 00:24:54,080 Speaker 1: was the whole reason he romped ultimately in the Democratic 473 00:24:54,119 --> 00:24:56,679 Speaker 1: primaries because people were persuaded this was the guy that 474 00:24:56,680 --> 00:25:00,199 Speaker 1: could beat Trump. Well, if you have an econ me 475 00:25:00,240 --> 00:25:02,560 Speaker 1: that shit, an approval rating that's in the tank, and 476 00:25:02,720 --> 00:25:05,440 Speaker 1: you get shellact in the mid terms, how strong is 477 00:25:05,480 --> 00:25:07,080 Speaker 1: your case going to be that you're the guy that 478 00:25:07,119 --> 00:25:09,760 Speaker 1: could beat Trump again? That's where I think a real 479 00:25:09,840 --> 00:25:11,920 Speaker 1: vulnerability comes in. And then the other thing that I 480 00:25:11,960 --> 00:25:15,000 Speaker 1: think is a glaring vulnerability is what happens in Ukraine 481 00:25:15,080 --> 00:25:23,280 Speaker 1: because there is increasing public dismay and dissatisfaction unease with 482 00:25:23,400 --> 00:25:26,320 Speaker 1: the endless direction of the war there. So I think 483 00:25:26,359 --> 00:25:29,840 Speaker 1: that's a wide open, a wide open potential issue and 484 00:25:29,840 --> 00:25:31,600 Speaker 1: problem for him as well. So if I had to 485 00:25:31,680 --> 00:25:34,479 Speaker 1: bet on one side of the Trump Biden equation changing, 486 00:25:34,520 --> 00:25:36,640 Speaker 1: I think Biden is much more vulnerable. I think you're 487 00:25:36,680 --> 00:25:39,359 Speaker 1: I mean, look, he's seventy nine years old, and you know, 488 00:25:39,440 --> 00:25:41,359 Speaker 1: anything can happen. And the crazy thing is Trump is 489 00:25:41,400 --> 00:25:44,040 Speaker 1: like seventy seven years old, so it's insane to spring. 490 00:25:44,320 --> 00:25:46,960 Speaker 1: By the way, I've met the man. He's wide. He's 491 00:25:47,000 --> 00:25:50,879 Speaker 1: a wide gentleman. That's the best. The suits really do 492 00:25:51,000 --> 00:25:52,879 Speaker 1: a lot for They do a crazy amount for him. 493 00:25:52,880 --> 00:25:54,679 Speaker 1: I remember seeing in the Oval office. I'm like, this 494 00:25:54,680 --> 00:25:58,520 Speaker 1: guy's fucking huge. There's not a cup across. So you 495 00:25:58,600 --> 00:26:00,800 Speaker 1: see him like on the golf course, like, whoa, Yeah, 496 00:26:00,840 --> 00:26:05,480 Speaker 1: that's when you really see it. Yeah. So I have 497 00:26:05,560 --> 00:26:09,880 Speaker 1: been following very closely a really interesting new worker led 498 00:26:09,960 --> 00:26:14,320 Speaker 1: effort to unionize a bank, specifically Wells Fargo. Let's go 499 00:26:14,359 --> 00:26:16,440 Speaker 1: and put this tear sheet up on the screen. This 500 00:26:16,600 --> 00:26:19,240 Speaker 1: is from the Guardian. They say, well workers at Wells Fargo, 501 00:26:19,359 --> 00:26:21,240 Speaker 1: the third largest bank in the US, are pushing to 502 00:26:21,440 --> 00:26:24,560 Speaker 1: organize a union across the bank's workforce with Wells Fargo 503 00:26:24,640 --> 00:26:27,320 Speaker 1: Workers United, a campaign with the Committee for Better Banks, 504 00:26:27,520 --> 00:26:30,639 Speaker 1: which successfully won the first union contract in the banking 505 00:26:30,720 --> 00:26:33,760 Speaker 1: industry in forty years at Beneficial Bank in twenty twenty one. 506 00:26:34,200 --> 00:26:36,920 Speaker 1: So joining us now to talk about these efforts and 507 00:26:37,000 --> 00:26:39,439 Speaker 1: why they're so significant, and how it's going and all 508 00:26:39,520 --> 00:26:42,040 Speaker 1: of those good things. Is Jesse McCool. She is a 509 00:26:42,200 --> 00:26:45,000 Speaker 1: worker organizer at Wells Fargo, and she joins us now, 510 00:26:45,080 --> 00:26:46,720 Speaker 1: great to have you, Jesse, welcome, good to see you. 511 00:26:48,359 --> 00:26:51,320 Speaker 1: Good to see you guys too, and thank you for 512 00:26:51,960 --> 00:26:55,880 Speaker 1: having us on to speak. This is truly a humbling 513 00:26:56,040 --> 00:27:00,639 Speaker 1: experience that wall are interested in our story. It a 514 00:27:00,760 --> 00:27:03,879 Speaker 1: well little big bank over there. Yeah, well, I mean 515 00:27:04,119 --> 00:27:07,280 Speaker 1: we've followed a lot of the various Wells Fargo scandals 516 00:27:07,359 --> 00:27:09,240 Speaker 1: and one of the things that really intrigued me is 517 00:27:09,280 --> 00:27:11,119 Speaker 1: part of what you all talked about was, you know, 518 00:27:11,320 --> 00:27:13,320 Speaker 1: a lot of these scandals came from workers feeling a 519 00:27:13,400 --> 00:27:15,399 Speaker 1: lot of pressure to do things they really shouldn't be 520 00:27:15,480 --> 00:27:17,920 Speaker 1: doing in a way that they really didn't want to do, 521 00:27:18,160 --> 00:27:20,040 Speaker 1: but they had no power to sort of, you know, 522 00:27:20,200 --> 00:27:22,080 Speaker 1: go up the chain or be a whistleblower because they 523 00:27:22,160 --> 00:27:24,399 Speaker 1: just ultimately be fired. So just talk about some of 524 00:27:24,440 --> 00:27:27,880 Speaker 1: the genesis of this idea of unionizing in order both 525 00:27:27,920 --> 00:27:30,480 Speaker 1: to better your your working conditions but also to potentially 526 00:27:30,840 --> 00:27:36,520 Speaker 1: fight fraud at this bank. Sure, I mean, the Committee 527 00:27:36,560 --> 00:27:40,680 Speaker 1: for Better Banks has been around for some time and 528 00:27:40,880 --> 00:27:44,480 Speaker 1: if you asked me in twenty eighteen, when I just 529 00:27:44,720 --> 00:27:49,040 Speaker 1: dipped my toe in to see, you know, if this 530 00:27:49,200 --> 00:27:54,720 Speaker 1: was something worth pursuing, and then in becoming fully involved, 531 00:27:55,040 --> 00:27:59,919 Speaker 1: if you asked me that we would have the success 532 00:28:00,119 --> 00:28:03,400 Speaker 1: that we've currently have, I would have been knocked over 533 00:28:03,880 --> 00:28:09,680 Speaker 1: with a feather. So part of the reason why where 534 00:28:09,760 --> 00:28:13,200 Speaker 1: I got involved, and as well as the reasons of 535 00:28:13,359 --> 00:28:16,840 Speaker 1: many of my co workers as to why they've got involved, 536 00:28:17,720 --> 00:28:23,160 Speaker 1: is due to the fact that we see issues around 537 00:28:25,720 --> 00:28:31,440 Speaker 1: fair and equitable pay, personal safety at work, whether that 538 00:28:31,800 --> 00:28:36,840 Speaker 1: is related to physical safety or a commitment you know, 539 00:28:37,160 --> 00:28:44,760 Speaker 1: post pandemic to you know, keep medically vulnerable coworkers safe. 540 00:28:45,400 --> 00:28:52,960 Speaker 1: We also see issues around compensation. When it comes to 541 00:28:55,160 --> 00:29:00,240 Speaker 1: Charlie Sharp gets a twenty percent raise, however, we're fighting 542 00:29:00,480 --> 00:29:05,040 Speaker 1: for pennies on the dollar. And then underlying all of 543 00:29:05,280 --> 00:29:10,000 Speaker 1: that is a transparency issue. And this is where I 544 00:29:10,080 --> 00:29:14,800 Speaker 1: think it kind of connects to the previous scandals that 545 00:29:14,920 --> 00:29:24,160 Speaker 1: Wells Fargo has had policies, procedures, processes, whether it relates 546 00:29:24,200 --> 00:29:30,520 Speaker 1: to compensation, the various isms racism, sexism, nepotism, things like that, 547 00:29:32,920 --> 00:29:38,640 Speaker 1: whether it relates to workload reassignment, physical safety, medical safety. 548 00:29:39,800 --> 00:29:45,520 Speaker 1: There is little to no transparency around those issues. And 549 00:29:45,800 --> 00:29:48,960 Speaker 1: what Wells Fargo requires us to do in our training 550 00:29:49,360 --> 00:29:53,640 Speaker 1: and tells us to do is raise your hand. Raise 551 00:29:53,760 --> 00:29:59,240 Speaker 1: your hand. Well, during our most publicized scandal, six thousand 552 00:29:59,440 --> 00:30:06,120 Speaker 1: people raise their hands and HR ignored did So how 553 00:30:06,520 --> 00:30:12,000 Speaker 1: is that a means to an end of getting a 554 00:30:12,160 --> 00:30:17,920 Speaker 1: better workplace for us as workers and then for our 555 00:30:18,120 --> 00:30:23,720 Speaker 1: own clients so that we can effectively advocate for them 556 00:30:24,000 --> 00:30:27,360 Speaker 1: as well. Yeah, so yeah, let's get into that. I 557 00:30:27,440 --> 00:30:29,680 Speaker 1: think that's important, which is that you want to advocate 558 00:30:29,760 --> 00:30:32,240 Speaker 1: not only for the clients that you know overwhelmingly you 559 00:30:32,280 --> 00:30:34,920 Speaker 1: actually have to deal with, not the executives, but also 560 00:30:35,120 --> 00:30:36,960 Speaker 1: in order to make sure that you have more of 561 00:30:37,040 --> 00:30:38,960 Speaker 1: a say at work. So, what are some of the 562 00:30:39,040 --> 00:30:40,880 Speaker 1: steps that you guys are taking in order to make 563 00:30:40,920 --> 00:30:46,040 Speaker 1: sure that that happens. Well. Some of the steps that 564 00:30:46,160 --> 00:30:51,320 Speaker 1: we're taking is we learned a lot during the pandemic. 565 00:30:52,160 --> 00:30:58,160 Speaker 1: We are a large bank. There's four primary divisions. There's 566 00:30:58,280 --> 00:31:01,479 Speaker 1: the retail bank, the business bank, Wealth and Investment Management, 567 00:31:01,720 --> 00:31:07,400 Speaker 1: and then our commercial and investment banking division. We have 568 00:31:07,920 --> 00:31:13,240 Speaker 1: diverse employees over a wide geographic range, and there's almost 569 00:31:13,320 --> 00:31:18,240 Speaker 1: three hundred thousand of a three hundred thousand of us now. 570 00:31:22,040 --> 00:31:26,320 Speaker 1: One of the main issues with previous scandals and then 571 00:31:26,440 --> 00:31:28,400 Speaker 1: some of the ones that are occurring now, like the 572 00:31:28,520 --> 00:31:32,680 Speaker 1: mortgage one, is that, like I said, they ask us 573 00:31:32,760 --> 00:31:37,760 Speaker 1: to raise our hand and bring light to issues that 574 00:31:39,840 --> 00:31:44,320 Speaker 1: are unfair or have the potential to cause reputational or 575 00:31:44,480 --> 00:31:50,920 Speaker 1: regulatory risk, and that system is broken. So we've taken 576 00:31:51,600 --> 00:31:58,480 Speaker 1: to organizing online during the pandemic and using non traditional 577 00:31:58,680 --> 00:32:05,200 Speaker 1: methods such as Twitter, Facebook, Creddit, Slack, discord to connect 578 00:32:05,320 --> 00:32:08,760 Speaker 1: with our co workers. And now that we're all re 579 00:32:09,280 --> 00:32:13,040 Speaker 1: entering the workplace and see each other face to face, 580 00:32:13,760 --> 00:32:18,000 Speaker 1: we're using some of the more traditional on the ground 581 00:32:18,600 --> 00:32:24,080 Speaker 1: organizing tactics to keep the momentum going. And currently what 582 00:32:24,280 --> 00:32:28,280 Speaker 1: we what we have seen is we have membership in 583 00:32:28,440 --> 00:32:34,440 Speaker 1: twenty nine states in the past quarter six hundred, you know, 584 00:32:34,840 --> 00:32:39,440 Speaker 1: unique members have taken some sort of action, whether that 585 00:32:39,720 --> 00:32:43,400 Speaker 1: is to you know, join one of our organizing channels, 586 00:32:43,920 --> 00:32:49,320 Speaker 1: attend a training where we educate people about their rights, 587 00:32:49,840 --> 00:32:53,000 Speaker 1: or attend trainings where you know, we can help them 588 00:32:54,200 --> 00:32:59,600 Speaker 1: find their voice that's been historically ignored so that they 589 00:32:59,760 --> 00:33:03,080 Speaker 1: then and can stand up and say no, I know 590 00:33:03,280 --> 00:33:07,080 Speaker 1: this is wrong. I'm advocating for me, and as part 591 00:33:07,120 --> 00:33:10,960 Speaker 1: of my job, we tout doing what's right for the client. 592 00:33:11,320 --> 00:33:15,440 Speaker 1: So I'm not just organizing and advocating for me. I'm 593 00:33:15,560 --> 00:33:20,960 Speaker 1: advocating for the client because you know, as you guys 594 00:33:21,000 --> 00:33:24,680 Speaker 1: have seen in our reports, our recent diversity report, we 595 00:33:24,760 --> 00:33:27,800 Speaker 1: said that we wanted to be reflective of the visions 596 00:33:27,840 --> 00:33:32,160 Speaker 1: and values of the communities and that we serve when 597 00:33:32,200 --> 00:33:35,840 Speaker 1: we live in those communities, and we want to advocate 598 00:33:36,280 --> 00:33:40,640 Speaker 1: for ourselves and our fellow community members right well, because 599 00:33:40,640 --> 00:33:42,880 Speaker 1: you all aren't the one getting the like payday when 600 00:33:42,960 --> 00:33:46,280 Speaker 1: clients are getting screwed over also, so it's put everybody 601 00:33:46,320 --> 00:33:48,920 Speaker 1: in a horrific position, and to have just an nobility 602 00:33:49,280 --> 00:33:51,920 Speaker 1: to speak out and be that whistleblower would be crucial 603 00:33:52,000 --> 00:33:56,080 Speaker 1: in and of itself. I'm curious how management has responded 604 00:33:56,400 --> 00:34:01,960 Speaker 1: because consonant Aana Presley actually pressed Wells Fargo. I believe 605 00:34:02,000 --> 00:34:03,560 Speaker 1: this is a CEO. You can tell me on the 606 00:34:03,600 --> 00:34:05,520 Speaker 1: other side of this clip, if this is the CEO 607 00:34:05,560 --> 00:34:08,720 Speaker 1: of Wells Fargo, on whether or not they would remain 608 00:34:09,239 --> 00:34:13,799 Speaker 1: neutral in any sort of union organizing, and also whether 609 00:34:13,920 --> 00:34:18,239 Speaker 1: they would commit to not retaliating against workers who are 610 00:34:18,320 --> 00:34:21,319 Speaker 1: exercising their rights and ordered organize. Let's take a look 611 00:34:21,360 --> 00:34:24,000 Speaker 1: at that clip. Will you commit to neutrality and the 612 00:34:24,040 --> 00:34:27,160 Speaker 1: workers organizing effort and ensure that workers who speak out 613 00:34:27,719 --> 00:34:31,360 Speaker 1: do not face retaliation? And this is I'm looking for 614 00:34:31,440 --> 00:34:37,520 Speaker 1: a yes or no response. We believe that we're best 615 00:34:37,760 --> 00:34:42,680 Speaker 1: yes or having a direct relationship with them? Is that 616 00:34:42,760 --> 00:34:45,600 Speaker 1: a yes or a no? That is, well, you commit 617 00:34:45,680 --> 00:34:48,440 Speaker 1: to neutrality and the workers organizing effort and ensure that 618 00:34:48,560 --> 00:34:51,600 Speaker 1: workers who speak out we will do not face retaliation. 619 00:34:51,719 --> 00:34:54,440 Speaker 1: And it's really easy, yes or no. We will follow 620 00:34:54,480 --> 00:34:58,160 Speaker 1: the law. Okay, And so yeah, that was Charlie Sharff, 621 00:34:58,160 --> 00:35:00,040 Speaker 1: who's the CEO of Wells Fargo who you mentioned and 622 00:35:00,080 --> 00:35:02,680 Speaker 1: earlier is getting sadles pay raises. Isn't that nice for him? 623 00:35:03,360 --> 00:35:08,319 Speaker 1: So what has the response been to this organizing effort? Well, 624 00:35:08,560 --> 00:35:10,840 Speaker 1: I will tell you you are absolutely right. That is 625 00:35:11,000 --> 00:35:15,160 Speaker 1: Charlie Sharp. I was actually a guest of Maxine Waters 626 00:35:15,800 --> 00:35:21,400 Speaker 1: at that hearing. So if you're an indication about how 627 00:35:21,440 --> 00:35:25,120 Speaker 1: it's going for us, it's going pretty well. But yes, 628 00:35:26,160 --> 00:35:39,160 Speaker 1: retaliation rampant. In my own personal situation, I was asked 629 00:35:39,280 --> 00:35:49,440 Speaker 1: to remove union signage from my Skype headline. Now, this 630 00:35:49,640 --> 00:35:54,719 Speaker 1: turned into a six month battle with our legal department 631 00:35:55,520 --> 00:35:59,640 Speaker 1: at Wells Fargo and the culmination of it, because they 632 00:35:59,640 --> 00:36:04,840 Speaker 1: couldn't answered the question of how was I identified? What 633 00:36:05,120 --> 00:36:09,320 Speaker 1: is the process for saying maybe somebody thought they actually 634 00:36:09,480 --> 00:36:14,600 Speaker 1: saw something but they were wrong. What's the remediation process? 635 00:36:15,120 --> 00:36:20,279 Speaker 1: That couldn't be answered, And our own legal department ended 636 00:36:20,400 --> 00:36:25,040 Speaker 1: up agreeing with me and stating right at the you know, 637 00:36:25,680 --> 00:36:30,759 Speaker 1: last minute, before I was going to follow ULP, that 638 00:36:30,960 --> 00:36:34,120 Speaker 1: I could reinstate my signage. Now that's not the only 639 00:36:34,600 --> 00:36:40,319 Speaker 1: example of retaliation. My manager was demoted, and I now 640 00:36:40,560 --> 00:36:48,440 Speaker 1: report to a person who promoted a coworker began sleeping 641 00:36:48,520 --> 00:36:54,080 Speaker 1: with them and then married her. And my direct manager 642 00:36:54,960 --> 00:36:59,560 Speaker 1: is this person's best friend. So how is that fair. 643 00:37:00,520 --> 00:37:04,239 Speaker 1: The other thing that is going on, and we've heard 644 00:37:04,320 --> 00:37:12,440 Speaker 1: this from all divisions across Wells Fargo, managers are actually 645 00:37:12,880 --> 00:37:18,920 Speaker 1: urging their code, their their direct rapports to join our 646 00:37:19,200 --> 00:37:25,200 Speaker 1: union to contact us. They've also informed us of the 647 00:37:25,360 --> 00:37:31,400 Speaker 1: fact that Wells Fargo is bringing in labor and employment 648 00:37:31,560 --> 00:37:45,319 Speaker 1: attorneys to educate managers about how to essentially suppress ours here. 649 00:37:46,280 --> 00:37:49,640 Speaker 1: So Ali Sharff tried to have us removed at that 650 00:37:49,880 --> 00:37:53,520 Speaker 1: hearing that you saw right there and have us replat 651 00:37:53,600 --> 00:37:58,120 Speaker 1: with members of the Bank Policy Institute. But we stand strong, 652 00:37:58,960 --> 00:38:05,239 Speaker 1: we stand invigorated, and if our own managers understand that 653 00:38:07,160 --> 00:38:09,640 Speaker 1: there needs to be something more in order for us 654 00:38:09,719 --> 00:38:14,120 Speaker 1: to advocate for ourselves and there and thereby our clients, 655 00:38:14,680 --> 00:38:21,000 Speaker 1: that truly says something to me about how our efforts 656 00:38:21,239 --> 00:38:25,160 Speaker 1: are being received in a positive way. But clearly we 657 00:38:25,320 --> 00:38:32,360 Speaker 1: are up against a big force with with Wells Fargo 658 00:38:32,480 --> 00:38:38,520 Speaker 1: bringing in UH and Union. They're I mean, they're incredibly powerful, 659 00:38:38,920 --> 00:38:42,279 Speaker 1: massive tons of money, like they will do everything they 660 00:38:42,320 --> 00:38:43,920 Speaker 1: can to make sure that they can keep all of 661 00:38:44,000 --> 00:38:46,960 Speaker 1: their power and control. I have no doubt about it. Jessie, 662 00:38:47,000 --> 00:38:48,560 Speaker 1: thank you so much for spending some time with us 663 00:38:48,640 --> 00:38:51,120 Speaker 1: and breaking down you know why you decided to get 664 00:38:51,160 --> 00:38:53,840 Speaker 1: involved with this effort and how it's going, and you know, 665 00:38:53,880 --> 00:38:56,160 Speaker 1: we really wish you all the best and you know 666 00:38:56,320 --> 00:38:57,799 Speaker 1: a lot of luck with what you're trying to pull off. 667 00:38:57,880 --> 00:39:01,719 Speaker 1: Keep us updated. Thanks for joining. Oh, thanks for having me. 668 00:39:01,920 --> 00:39:06,640 Speaker 1: I appreciate you. Yeah, it's our pleasure. Interesting potential news 669 00:39:06,719 --> 00:39:10,520 Speaker 1: for you. Here a particular monopoly that we have become 670 00:39:10,640 --> 00:39:14,399 Speaker 1: rather acquainted with recently, which is that of Ticketmaster, which 671 00:39:14,640 --> 00:39:17,000 Speaker 1: merged a while back, a few years back with Live 672 00:39:17,120 --> 00:39:20,880 Speaker 1: Nation and has created this just massive juggernaut which is 673 00:39:21,120 --> 00:39:26,760 Speaker 1: basically a scam, massive fees, escalating ticket prices, artists getting squeezed, 674 00:39:26,960 --> 00:39:29,160 Speaker 1: venues getting squeezed, et cetera. Well, there is a new 675 00:39:29,360 --> 00:39:34,279 Speaker 1: effort to unwind that merger between ticket Master and what 676 00:39:34,440 --> 00:39:37,359 Speaker 1: was previously you know when their potential rivals, Live Nation. 677 00:39:37,440 --> 00:39:39,520 Speaker 1: Let's go and put this up on the screen. This 678 00:39:39,760 --> 00:39:43,240 Speaker 1: is actually an effort from our friend Matt Stoler's group, 679 00:39:43,400 --> 00:39:46,279 Speaker 1: the American Economic Liberties Project and put here we go, 680 00:39:46,400 --> 00:39:48,759 Speaker 1: Hollywood Reporter up on the screen. Activist group asked the 681 00:39:48,920 --> 00:39:52,440 Speaker 1: Justice Department to unwind Live Nation and Ticketmaster merger. The 682 00:39:52,480 --> 00:39:54,840 Speaker 1: twenty ten merger has been subject to scrutiny for allegedly 683 00:39:54,960 --> 00:39:57,600 Speaker 1: leading to higher ticket prices and claims that Live Nation 684 00:39:57,840 --> 00:40:01,400 Speaker 1: Entertainment is abusing its market power over venues and artists. 685 00:40:01,600 --> 00:40:04,720 Speaker 1: A Live Nation representative said that the live events industry 686 00:40:04,760 --> 00:40:08,840 Speaker 1: has quote never been more vibrant and competitive. So basically 687 00:40:08,920 --> 00:40:14,000 Speaker 1: what happened here is just before they merged, Ticketmaster had 688 00:40:14,120 --> 00:40:16,680 Speaker 1: the bulk of the ticket sales market, but Live Nation 689 00:40:16,920 --> 00:40:19,680 Speaker 1: was set to get in the game. So they you know, 690 00:40:19,880 --> 00:40:22,640 Speaker 1: they merged, they become this one gigantic company, and it 691 00:40:22,760 --> 00:40:26,759 Speaker 1: gives them incredible market power. Why because if you're a 692 00:40:26,960 --> 00:40:30,359 Speaker 1: venue and you say, like Ticketmaster screwing me over, I'm 693 00:40:30,440 --> 00:40:33,120 Speaker 1: going in another direction, what they say is okay, then fine, 694 00:40:33,680 --> 00:40:36,040 Speaker 1: all of our artists that we promote as part of 695 00:40:36,120 --> 00:40:38,320 Speaker 1: Live Nation, they're not going to come to your venue. 696 00:40:38,400 --> 00:40:41,600 Speaker 1: And so ultimately the venues have no choice. If you're 697 00:40:41,600 --> 00:40:44,760 Speaker 1: an artist that's going to you know, perform at that venue, 698 00:40:44,880 --> 00:40:47,360 Speaker 1: you also have no choice because you're signing the contract 699 00:40:47,400 --> 00:40:49,400 Speaker 1: they are with Ticketmaster, and it is what it is, 700 00:40:50,040 --> 00:40:53,560 Speaker 1: and they are completely screwing over you know, everybody else 701 00:40:53,640 --> 00:40:57,000 Speaker 1: involved it. Just think of the insanity of what a 702 00:40:57,160 --> 00:41:00,200 Speaker 1: massive percentage of the ticket price they are getting when 703 00:41:00,280 --> 00:41:02,880 Speaker 1: all they're doing is like running a website. You know, 704 00:41:03,080 --> 00:41:05,719 Speaker 1: it should be pennies on the dollar and insteads this 705 00:41:05,920 --> 00:41:08,040 Speaker 1: massive chunk and they add all those fees for like 706 00:41:08,120 --> 00:41:10,480 Speaker 1: online delivery and all this other craziness. We had to 707 00:41:10,520 --> 00:41:12,480 Speaker 1: deal with this recently. Whenever we do our live tour, 708 00:41:12,560 --> 00:41:13,960 Speaker 1: you have to sign a contract with the venue. The 709 00:41:14,040 --> 00:41:15,680 Speaker 1: venue gets to sell tickets. By the way, we're the 710 00:41:15,760 --> 00:41:17,600 Speaker 1: ones selling the tickets. So why don't we have access 711 00:41:17,600 --> 00:41:19,960 Speaker 1: to our customer data? Oh wait, we have literally no, 712 00:41:20,280 --> 00:41:22,400 Speaker 1: I couldn't tell you a single name of a person 713 00:41:22,640 --> 00:41:24,880 Speaker 1: who came to our live show except for our lifetime 714 00:41:24,920 --> 00:41:29,239 Speaker 1: members because we refunded their tickets. That's that's craziness. So 715 00:41:29,600 --> 00:41:33,520 Speaker 1: we sell the tickets, they don't do anything. We put 716 00:41:33,600 --> 00:41:37,279 Speaker 1: on the performance, the venue hosts it. But Ticketmaster gets 717 00:41:37,360 --> 00:41:40,320 Speaker 1: the data and they get to charge our fans and 718 00:41:40,480 --> 00:41:44,160 Speaker 1: customers and extra fee. That's bullshit. And like, look, we'll 719 00:41:44,160 --> 00:41:49,719 Speaker 1: probably get now retaliated against yes whatever. Yeah, honestly, like 720 00:41:49,920 --> 00:41:52,879 Speaker 1: the economics of these shows, yeah, right, for this reason, 721 00:41:52,960 --> 00:41:55,839 Speaker 1: for exactly this reason, really don't make very much sense, 722 00:41:56,640 --> 00:41:58,600 Speaker 1: in spite of the fact that you know, we're lucky 723 00:41:58,640 --> 00:42:00,600 Speaker 1: to be able to like generate a large number of 724 00:42:00,640 --> 00:42:03,160 Speaker 1: ticket sales. But it really doesn't matter. This part I 725 00:42:03,200 --> 00:42:06,160 Speaker 1: didn't even know about. They run a secondary I'm reading 726 00:42:06,200 --> 00:42:09,919 Speaker 1: for the article now ticket market called Ticketmaster Resale, where 727 00:42:09,960 --> 00:42:13,800 Speaker 1: they charge a second, more lucrative fee in addition to 728 00:42:13,920 --> 00:42:16,279 Speaker 1: the fee that was assessed on the primary ticket market. 729 00:42:16,680 --> 00:42:19,719 Speaker 1: So what they basically like to do is to allow 730 00:42:19,840 --> 00:42:22,480 Speaker 1: scalpers to buy up almost you know, a majority of 731 00:42:22,520 --> 00:42:26,319 Speaker 1: the tickets on the original sale, then they resell them 732 00:42:26,560 --> 00:42:31,799 Speaker 1: on this secondary ticket market where Ticketmaster gets to charge 733 00:42:31,880 --> 00:42:36,200 Speaker 1: another even higher fee, so they're making another cut, and 734 00:42:36,320 --> 00:42:38,279 Speaker 1: that's the only way that a lot of fans can 735 00:42:38,400 --> 00:42:42,760 Speaker 1: actually get tickets. So the whole thing is completely disgusting. 736 00:42:42,960 --> 00:42:45,520 Speaker 1: I mean again, it's like you dig into any segment 737 00:42:45,680 --> 00:42:49,640 Speaker 1: of the economy or the market and you find these cartels, inclusion, 738 00:42:49,719 --> 00:42:53,040 Speaker 1: and massive monopolies, things that were allowed through under both 739 00:42:53,080 --> 00:42:56,960 Speaker 1: the Obama and the Trump administration. I think this was 740 00:42:57,000 --> 00:42:59,960 Speaker 1: actually an Obama era deal that put these two companies 741 00:43:00,080 --> 00:43:02,279 Speaker 1: together and allowed this to go through. And what the 742 00:43:02,320 --> 00:43:05,319 Speaker 1: American Economic Liberties Project is saying is, you know, when 743 00:43:05,360 --> 00:43:07,880 Speaker 1: this deal was struck that said okay, you can merge, 744 00:43:08,160 --> 00:43:11,680 Speaker 1: there were actually some specific provisions to make sure that 745 00:43:11,880 --> 00:43:15,279 Speaker 1: it remained a competitive marketplace. Their argument is that they 746 00:43:15,320 --> 00:43:19,680 Speaker 1: are violating the terms of that settlement by forcing venues 747 00:43:19,719 --> 00:43:22,400 Speaker 1: to accept their ticketing services as a condition for hosting 748 00:43:22,480 --> 00:43:25,800 Speaker 1: live nation performers and then retaliating against those that refuse. 749 00:43:26,239 --> 00:43:29,680 Speaker 1: So that's basically the argument here is you're not even 750 00:43:30,120 --> 00:43:33,239 Speaker 1: following by the rules that you were supposed to in 751 00:43:33,400 --> 00:43:35,000 Speaker 1: order to allow this merger to go through. So the 752 00:43:35,040 --> 00:43:37,319 Speaker 1: answer is to unwind the merger. Yeah, I think you're right. 753 00:43:37,400 --> 00:43:39,520 Speaker 1: I mean it's totally nuts. And look, we need to 754 00:43:40,040 --> 00:43:43,359 Speaker 1: two companies as bad. I mean we need a ton more, right, 755 00:43:43,480 --> 00:43:45,880 Speaker 1: I actually I think it was on Andrew Schultz's podcast, 756 00:43:46,239 --> 00:43:48,920 Speaker 1: Luis c. K gave a whole breakdown about how he 757 00:43:49,120 --> 00:43:51,600 Speaker 1: tried to go around the monopoly and he was at 758 00:43:51,640 --> 00:43:54,239 Speaker 1: the top of his game and even he found it very, 759 00:43:54,360 --> 00:43:57,680 Speaker 1: very difficult. I recommend people go and listen to that, because, look, 760 00:43:57,800 --> 00:44:00,600 Speaker 1: these people have a tremendous power over it. Entertainment. You know, 761 00:44:00,680 --> 00:44:03,440 Speaker 1: I tried to buy tickets for Blink twenty eighty two, 762 00:44:04,239 --> 00:44:07,560 Speaker 1: are their new tour that's coming. It's an outrageous amount 763 00:44:07,600 --> 00:44:09,680 Speaker 1: of money and a huge so look, no, you know, 764 00:44:09,760 --> 00:44:12,279 Speaker 1: obviously blankuinety two is the last time. I think it's 765 00:44:12,280 --> 00:44:14,040 Speaker 1: a nos Solia tour, So the tickets are going to 766 00:44:14,080 --> 00:44:16,480 Speaker 1: be high price. But even with the pre sale and 767 00:44:16,560 --> 00:44:19,200 Speaker 1: all that, like a third of the fee was Ticketmaster fees. 768 00:44:19,480 --> 00:44:22,400 Speaker 1: It's just completely insane. And look, you know, people like 769 00:44:22,520 --> 00:44:24,680 Speaker 1: me who love the band are like, okay, like you 770 00:44:24,840 --> 00:44:27,080 Speaker 1: just have to pay it. You have no choice. And 771 00:44:27,320 --> 00:44:29,360 Speaker 1: you know, if you had to guess the artists themselves, 772 00:44:29,520 --> 00:44:31,200 Speaker 1: they don't like it this way. No, they just have 773 00:44:31,320 --> 00:44:33,279 Speaker 1: no other there's no other options. It's the only way 774 00:44:33,280 --> 00:44:36,480 Speaker 1: for them to make a living. Bruce Springsteen, at the 775 00:44:36,560 --> 00:44:39,200 Speaker 1: time that this merger was being considered, he wrote a 776 00:44:39,280 --> 00:44:40,600 Speaker 1: letter and said, this is going to be this is 777 00:44:40,640 --> 00:44:43,080 Speaker 1: gonna be terrible, it's gonna be disaster. And just recently, 778 00:44:43,120 --> 00:44:46,040 Speaker 1: if you saw this in the news, Ticketmaster has this 779 00:44:46,160 --> 00:44:48,800 Speaker 1: new they call dynamic pricing, which is just basically like, 780 00:44:49,040 --> 00:44:52,200 Speaker 1: we can gouge you as much as we possibly can, 781 00:44:52,360 --> 00:44:54,160 Speaker 1: because like, if there's a high demand for the tickets, 782 00:44:54,280 --> 00:44:56,000 Speaker 1: we're just going to keep upping the price up, in 783 00:44:56,040 --> 00:44:58,680 Speaker 1: the price, up in the price to squeeze every less 784 00:44:58,760 --> 00:45:02,279 Speaker 1: penny out of the fans. And this happened with Bruce 785 00:45:02,320 --> 00:45:05,399 Speaker 1: Bracty cohere they were getting charge like five grand or whatever, 786 00:45:05,480 --> 00:45:08,880 Speaker 1: and he had he was stunned by what was ultimately 787 00:45:08,960 --> 00:45:11,120 Speaker 1: going on, because people, of course were disgusted that, you 788 00:45:11,200 --> 00:45:14,280 Speaker 1: know that, in their view, he was charging these ticket prices. 789 00:45:14,400 --> 00:45:19,440 Speaker 1: So anyway, it is unconscionable that this monopoly is allowed 790 00:45:19,480 --> 00:45:22,879 Speaker 1: to continue. And the Biden administration has taken a much 791 00:45:23,000 --> 00:45:26,160 Speaker 1: different approach on nah. They've been much better than previous administrations, 792 00:45:26,200 --> 00:45:28,759 Speaker 1: not saying they're perfect, but they brought in some seriously 793 00:45:29,000 --> 00:45:31,720 Speaker 1: like you know, forceful people who have a very different 794 00:45:31,760 --> 00:45:37,400 Speaker 1: ideological predisposition towards antitrust regulation. And so hopefully this is 795 00:45:37,480 --> 00:45:39,800 Speaker 1: one that they will ultimately take a look at. Yeah. Absolutely, 796 00:45:42,520 --> 00:45:46,799 Speaker 1: researchers at Boston University have gotten themselves in the barrel 797 00:45:46,800 --> 00:45:51,120 Speaker 1: a little bit for some rather shocking research that it 798 00:45:51,239 --> 00:45:55,120 Speaker 1: turns out their government sponsors did not know that they 799 00:45:55,160 --> 00:45:59,520 Speaker 1: were even involved in. Essentially, what's going on here is 800 00:45:59,600 --> 00:46:02,760 Speaker 1: that and this I would call this gain of function. 801 00:46:02,960 --> 00:46:04,520 Speaker 1: Not a scientist, I'm gonna call this gain of function, 802 00:46:04,640 --> 00:46:06,120 Speaker 1: but they do like to play it fast and loose 803 00:46:06,160 --> 00:46:09,040 Speaker 1: with the definition to skirt around regulation. So basically what 804 00:46:09,120 --> 00:46:12,759 Speaker 1: they've done here is they've taken the spike protein from omicron, 805 00:46:12,840 --> 00:46:16,160 Speaker 1: which is the and it is that spike protein that 806 00:46:16,239 --> 00:46:19,400 Speaker 1: has made it kind of the most infectious version, despite 807 00:46:19,440 --> 00:46:21,719 Speaker 1: the fact that and probably related to the fact that 808 00:46:21,840 --> 00:46:27,520 Speaker 1: Omicron itself was less virulent, less what's the word, less deadly, 809 00:46:28,520 --> 00:46:31,400 Speaker 1: less dangerous to you, And so they took the spike 810 00:46:31,480 --> 00:46:35,120 Speaker 1: protein that made it that infectious and they attached it 811 00:46:35,840 --> 00:46:39,080 Speaker 1: to the more deadly version the earlier version, because they 812 00:46:39,120 --> 00:46:42,319 Speaker 1: wanted to then experiment on mice to find out if 813 00:46:42,719 --> 00:46:46,839 Speaker 1: giving mice this deadly version killed them Little Frank and COVID. Yeah, 814 00:46:46,880 --> 00:46:50,840 Speaker 1: and so eight of the ten mice that were that 815 00:46:50,920 --> 00:46:54,800 Speaker 1: were purposely infected with this engineered virus, this engineer pathogen 816 00:46:55,600 --> 00:47:01,279 Speaker 1: in this lab in Boston University, right in Boston. And 817 00:47:01,440 --> 00:47:04,160 Speaker 1: so the headlines come with an eighty percent eighty percent 818 00:47:04,280 --> 00:47:08,720 Speaker 1: mortality rate that that doesn't exactly trans translate to people. 819 00:47:08,920 --> 00:47:13,360 Speaker 1: But they also did experiment with human cells and the 820 00:47:14,280 --> 00:47:16,440 Speaker 1: so this was for this news was first broken by 821 00:47:17,360 --> 00:47:20,920 Speaker 1: by the Daily Mail. Other right wing outlets followed up 822 00:47:20,960 --> 00:47:25,320 Speaker 1: on it. Stat News has has since done some additional reporting. 823 00:47:25,360 --> 00:47:29,520 Speaker 1: We've reached out to Boston University for comment, as well 824 00:47:29,560 --> 00:47:33,200 Speaker 1: as to an I A D. The NIH branch that 825 00:47:33,520 --> 00:47:38,520 Speaker 1: that that funded this research. What what they told stat News, 826 00:47:38,560 --> 00:47:41,200 Speaker 1: which is the kind of health policy outlet, is that 827 00:47:41,680 --> 00:47:47,279 Speaker 1: they didn't know that that the Boston University researchers were 828 00:47:47,320 --> 00:47:48,640 Speaker 1: going to do this. Let me say, an A I D. 829 00:47:48,800 --> 00:47:51,839 Speaker 1: Didn't know. Yeah, So and that's an important I think 830 00:47:51,880 --> 00:47:55,960 Speaker 1: piece of this puzzle because the government sponsoring it is 831 00:47:56,080 --> 00:47:59,759 Speaker 1: exactly what's in question in Wuhan, Right, this this is 832 00:47:59,800 --> 00:48:04,080 Speaker 1: a a government a lab funded by government grants. And 833 00:48:04,239 --> 00:48:09,040 Speaker 1: so if that's the case here, again, it just shows 834 00:48:09,080 --> 00:48:11,200 Speaker 1: how little oversight there is with our money, right, and 835 00:48:11,320 --> 00:48:19,359 Speaker 1: so the so Boston University's spokesperson Rachel Cavalario, who who 836 00:48:19,440 --> 00:48:22,400 Speaker 1: commented to stat News, is trying to deny that this 837 00:48:22,520 --> 00:48:25,600 Speaker 1: is gain of function research, saying that it's actually reducing function. Basically, 838 00:48:25,960 --> 00:48:27,960 Speaker 1: her quote to stat news was, in fact, this research 839 00:48:28,040 --> 00:48:34,080 Speaker 1: made the virus replication less dangerous, so but it is 840 00:48:34,200 --> 00:48:37,000 Speaker 1: making it more pathogenic, it's making it more deadly. So 841 00:48:38,400 --> 00:48:40,440 Speaker 1: you're so, what what what's going on here is they're 842 00:48:40,520 --> 00:48:44,319 Speaker 1: they're manipulating these viruses and then and then stepping back 843 00:48:44,360 --> 00:48:47,360 Speaker 1: and saying, well, actually it's not gaining. Yes, eight of 844 00:48:47,440 --> 00:48:49,480 Speaker 1: ten mice died, but we're not going to call that, 845 00:48:50,239 --> 00:48:52,839 Speaker 1: we're not going to call that gain of function. Right, 846 00:48:52,920 --> 00:48:56,640 Speaker 1: But if you're manipulating the function, whether it's it's actually 847 00:48:56,680 --> 00:48:59,080 Speaker 1: the semantics over the word gain and the word function, right, 848 00:48:59,120 --> 00:49:02,200 Speaker 1: so like what is the function transmission? Is the function death? 849 00:49:02,480 --> 00:49:05,560 Speaker 1: Like what is the function? And then like that's why 850 00:49:05,840 --> 00:49:08,040 Speaker 1: the conversation over gain a function. We've seen the back 851 00:49:08,040 --> 00:49:10,400 Speaker 1: and forth between Ran Paul and Anthony Fauci and Congress 852 00:49:10,440 --> 00:49:14,080 Speaker 1: over this. Fauci and other researchers, who, by the way, 853 00:49:14,480 --> 00:49:17,759 Speaker 1: have very legitimate reasons in some cases for wanting to 854 00:49:17,840 --> 00:49:21,280 Speaker 1: do this research, right, Like the temptation to do this research, 855 00:49:21,440 --> 00:49:25,040 Speaker 1: and the sort of theory behind doing this research is 856 00:49:25,440 --> 00:49:29,279 Speaker 1: one that reasonable people can disagree with. And we've talked 857 00:49:29,280 --> 00:49:31,800 Speaker 1: to people on both sides of that argument. Both of 858 00:49:31,920 --> 00:49:35,640 Speaker 1: us are pretty strongly in the don't enhance the virus 859 00:49:35,760 --> 00:49:38,560 Speaker 1: camp in a lab. But I do think reasonable people 860 00:49:38,600 --> 00:49:40,640 Speaker 1: can disagree with it, and it's easy to understand why 861 00:49:40,760 --> 00:49:43,440 Speaker 1: researchers want to do this. It actually broke into the 862 00:49:43,480 --> 00:49:45,719 Speaker 1: news cycle, this time based on a preprint, right, so 863 00:49:45,840 --> 00:49:48,520 Speaker 1: this is not a peer reviewed study, but they published 864 00:49:48,560 --> 00:49:51,560 Speaker 1: their research, right, Yeah, this is the yep, there's the element. 865 00:49:51,719 --> 00:49:53,640 Speaker 1: You can see it up on the screen. This is 866 00:49:53,719 --> 00:49:55,919 Speaker 1: the preprint study. And then the media kind of picked 867 00:49:55,960 --> 00:49:57,640 Speaker 1: up on the fact, and I think it was Daily Mail, 868 00:49:57,719 --> 00:50:00,880 Speaker 1: Fox News, local Boston paper had it too that this 869 00:50:01,040 --> 00:50:04,160 Speaker 1: is happening. So that's how they are actually looking to 870 00:50:04,239 --> 00:50:07,520 Speaker 1: get this. This is in the peer review process, but 871 00:50:07,640 --> 00:50:10,360 Speaker 1: they published the research. They published a study based on 872 00:50:10,440 --> 00:50:13,400 Speaker 1: the research and that's how we sort of know that 873 00:50:13,520 --> 00:50:16,480 Speaker 1: this happened at all. Right, and so here's the comment 874 00:50:16,560 --> 00:50:19,120 Speaker 1: to STAT News from n I a i D. So 875 00:50:19,840 --> 00:50:24,440 Speaker 1: Emily or Belding, director of ni ai d's Division of 876 00:50:24,560 --> 00:50:28,280 Speaker 1: Microbiology Infectious Diseases, said the BU team's original grant application 877 00:50:28,400 --> 00:50:31,000 Speaker 1: did not specify that the scientists wanted to do this 878 00:50:31,160 --> 00:50:33,800 Speaker 1: precise work, nor did the group make clear that it 879 00:50:33,880 --> 00:50:36,360 Speaker 1: was doing experiments that might involve enhancing a pathogen of 880 00:50:37,080 --> 00:50:41,080 Speaker 1: pandemic potential in the progress reports it provided to n 881 00:50:41,200 --> 00:50:45,080 Speaker 1: I a i D. Or Belding told STAT in an interview, 882 00:50:45,200 --> 00:50:49,080 Speaker 1: I think we're going to have conversations over upcoming days. 883 00:50:49,160 --> 00:50:51,040 Speaker 1: Asked if the research team should have informed them with 884 00:50:51,080 --> 00:50:53,480 Speaker 1: its intention to the work, she said, we wish that 885 00:50:53,560 --> 00:50:56,520 Speaker 1: they would have. Yes. Now, this story has since been 886 00:50:56,600 --> 00:51:01,720 Speaker 1: updated with some pretty angry comments from Boston University related 887 00:51:01,760 --> 00:51:03,520 Speaker 1: to what I was saying earlier, saying that no, in fact, 888 00:51:03,560 --> 00:51:06,120 Speaker 1: this is not this is not what you're saying that 889 00:51:06,200 --> 00:51:08,239 Speaker 1: it is. You should you should relax. This is fine, 890 00:51:09,760 --> 00:51:14,160 Speaker 1: but people can judge for themselves whether they think moving 891 00:51:14,200 --> 00:51:21,000 Speaker 1: the spike protein into are a more virulent pathogen is 892 00:51:21,600 --> 00:51:25,040 Speaker 1: something that we want being done in a in the 893 00:51:25,080 --> 00:51:27,560 Speaker 1: middle of a big population center. Now, what Boston University 894 00:51:27,600 --> 00:51:32,319 Speaker 1: will say is we're a BSL three lab. They put 895 00:51:32,400 --> 00:51:35,719 Speaker 1: out a little video that shows the doctors putting on 896 00:51:35,760 --> 00:51:39,200 Speaker 1: their spacesuits and going into these going into the lab 897 00:51:39,640 --> 00:51:42,239 Speaker 1: to kind of demonstrate, you know, just how just how 898 00:51:42,320 --> 00:51:44,399 Speaker 1: serious they are. They show their they show their HEPA 899 00:51:44,400 --> 00:51:47,120 Speaker 1: filters and everything else. It's say, Okay, I'm glad that 900 00:51:47,160 --> 00:51:51,440 Speaker 1: you're taking this seriously. You're taking it seriously because of 901 00:51:51,520 --> 00:51:53,759 Speaker 1: the extreme risk that's involved here. I mean, I do 902 00:51:53,840 --> 00:51:57,400 Speaker 1: think there are labs that probably did take it seriously before. Oh, 903 00:51:58,239 --> 00:52:01,560 Speaker 1: absolutely and took it like we actually had the security 904 00:52:02,080 --> 00:52:05,320 Speaker 1: precautions that we now know were in question at the 905 00:52:05,360 --> 00:52:08,480 Speaker 1: Wuhan lab, like not always exactly. And your point was 906 00:52:08,560 --> 00:52:10,879 Speaker 1: that basically, the reason that you have to take these 907 00:52:10,920 --> 00:52:14,200 Speaker 1: precautions extremely seriously is because of the risk involved in 908 00:52:14,239 --> 00:52:16,360 Speaker 1: the first place. So it's sort of a concession of 909 00:52:16,480 --> 00:52:21,520 Speaker 1: the point that this is an extremely risky endeavor period. 910 00:52:22,480 --> 00:52:26,440 Speaker 1: And I mean, you learned that when you attach the 911 00:52:26,480 --> 00:52:29,640 Speaker 1: spike protein it was more infectious. This is I'm not 912 00:52:29,760 --> 00:52:32,799 Speaker 1: a virologist, but I could have told you that if 913 00:52:32,840 --> 00:52:35,279 Speaker 1: the government spokesperson's reaction, and that's why I ked on 914 00:52:35,360 --> 00:52:38,200 Speaker 1: the word enhancing. If the government spokesperson's reaction is to 915 00:52:39,440 --> 00:52:41,560 Speaker 1: they have the study, right, it's not a super long study. 916 00:52:41,600 --> 00:52:43,719 Speaker 1: You can download the PDF and again it hasn't been 917 00:52:43,760 --> 00:52:46,799 Speaker 1: peer reviewed, but the government presumably overlooked this, looked over 918 00:52:46,880 --> 00:52:49,520 Speaker 1: that study before they gave comment to the media. If 919 00:52:49,560 --> 00:52:52,840 Speaker 1: they're using the word enhancing, it was the reporter, but 920 00:52:52,880 --> 00:52:55,960 Speaker 1: they're responding to it. Yeah, yeah, right right, So if 921 00:52:56,200 --> 00:52:59,960 Speaker 1: the word enhancing is involved, then you know that we're 922 00:53:00,040 --> 00:53:02,279 Speaker 1: getting into the semantic conversation about what is and what 923 00:53:02,440 --> 00:53:04,919 Speaker 1: is not gain a function, when what we're actually doing 924 00:53:05,120 --> 00:53:10,080 Speaker 1: is manipulating the function the spike protein to see if 925 00:53:10,120 --> 00:53:14,040 Speaker 1: it can be more x, y or z right, and 926 00:53:14,840 --> 00:53:16,680 Speaker 1: you don't and you don't always know what the result 927 00:53:16,800 --> 00:53:19,600 Speaker 1: is going to be, which is why you're supposed to 928 00:53:19,719 --> 00:53:21,480 Speaker 1: like get permission ahead of time for all of these 929 00:53:21,520 --> 00:53:26,279 Speaker 1: different you know, you know, precise experiments for people who 930 00:53:26,360 --> 00:53:29,279 Speaker 1: have been living in a cave. The context for this 931 00:53:29,520 --> 00:53:32,480 Speaker 1: is that you know, the Wuhan Institute of Virology, you know, 932 00:53:32,600 --> 00:53:36,360 Speaker 1: with with funding from US organization Ecohalth Alliance, which itself 933 00:53:36,440 --> 00:53:40,000 Speaker 1: was getting funding from an i AI D. What was 934 00:53:40,680 --> 00:53:44,120 Speaker 1: engaged in what people say was risky research that had 935 00:53:44,160 --> 00:53:50,759 Speaker 1: the potential to have created COVID nineteen and so scientists 936 00:53:51,440 --> 00:53:54,080 Speaker 1: from you know, across the spectrum still say that that 937 00:53:54,280 --> 00:53:57,160 Speaker 1: is within the realm of possibility, that the kind of 938 00:53:57,520 --> 00:54:01,759 Speaker 1: nature versus lab hypotheses are are both still possible and 939 00:54:01,880 --> 00:54:05,319 Speaker 1: it neither has been proven without a doubt, which is uh, 940 00:54:06,560 --> 00:54:10,080 Speaker 1: which is why there's so much concern when you start 941 00:54:10,160 --> 00:54:12,960 Speaker 1: to see this, uh, when you when you when this 942 00:54:13,200 --> 00:54:15,239 Speaker 1: paper hit hit the press and then gets into the 943 00:54:15,440 --> 00:54:18,160 Speaker 1: But it's interesting that at first it was for a 944 00:54:18,239 --> 00:54:22,239 Speaker 1: day or two in the conservative press before then Health 945 00:54:22,640 --> 00:54:25,600 Speaker 1: you know, the stat Stat News, which is a you know, 946 00:54:26,360 --> 00:54:31,000 Speaker 1: well regarded scientific journal or scientific not journal but newspaper. Uh. 947 00:54:31,200 --> 00:54:34,279 Speaker 1: But you're but on the progressive side on the and 948 00:54:34,360 --> 00:54:37,520 Speaker 1: in the mainstream media side, you don't see much concern 949 00:54:37,560 --> 00:54:40,960 Speaker 1: over this. The intercept has i mean incredible coverage of 950 00:54:41,120 --> 00:54:44,239 Speaker 1: the entire sort of game function. I don't know a 951 00:54:44,360 --> 00:54:47,560 Speaker 1: limb there. Yeah, it has just been fantastic, and I've 952 00:54:47,600 --> 00:54:49,800 Speaker 1: seen conservative media actually cited a good deal. But this 953 00:54:50,160 --> 00:54:52,000 Speaker 1: even this news, I mean, it's been in Fox News, 954 00:54:52,080 --> 00:54:54,960 Speaker 1: it's been in fairly big outlets in the New York Post. 955 00:54:55,440 --> 00:54:58,400 Speaker 1: The legacy media has not touched it so far that 956 00:54:58,480 --> 00:55:01,239 Speaker 1: I've seen that could have changed my last checked, but 957 00:55:01,400 --> 00:55:03,879 Speaker 1: so far it hasn't touched this story. And the real 958 00:55:04,360 --> 00:55:08,680 Speaker 1: I think what makes this worth discussing in the context 959 00:55:08,760 --> 00:55:12,279 Speaker 1: of COVID is specifically that we know our government was 960 00:55:12,360 --> 00:55:15,520 Speaker 1: funding these studies without providing adequate oversight, and we know 961 00:55:15,600 --> 00:55:17,839 Speaker 1: that they've been less than forthcoming about what they knew, 962 00:55:17,920 --> 00:55:19,759 Speaker 1: how they knew it, and whether or not they were 963 00:55:19,840 --> 00:55:24,000 Speaker 1: acting responsibly in the course of the research in Wuhan 964 00:55:24,160 --> 00:55:27,600 Speaker 1: and providing funding for that research in Wuhan. So and 965 00:55:27,719 --> 00:55:30,360 Speaker 1: we know that the medical community was very defensive of 966 00:55:30,440 --> 00:55:32,480 Speaker 1: that too, in a way that made it, Peter Dazac 967 00:55:32,520 --> 00:55:36,000 Speaker 1: at Eco Health Alliance, made it difficult to ascertain exactly 968 00:55:36,040 --> 00:55:38,520 Speaker 1: what was happening and whether it was being done responsibly. 969 00:55:38,719 --> 00:55:41,480 Speaker 1: And so when you have more government money going, even 970 00:55:41,480 --> 00:55:45,240 Speaker 1: if it's in a responsible, secure lab in the United 971 00:55:45,239 --> 00:55:48,960 Speaker 1: States of America, even if that's happening, we just had 972 00:55:49,000 --> 00:55:52,080 Speaker 1: over a million people die. We have been on lockdown's 973 00:55:52,080 --> 00:55:55,480 Speaker 1: business just the country has been ravaged by COVID over 974 00:55:55,560 --> 00:55:58,239 Speaker 1: the last couple of years. We need to know, and 975 00:55:59,000 --> 00:56:01,600 Speaker 1: we need to know if you don't know, like if 976 00:56:01,640 --> 00:56:03,439 Speaker 1: you don't know where your money is going at this point, 977 00:56:04,080 --> 00:56:06,520 Speaker 1: give me a break, right, And we don't obviously we 978 00:56:06,520 --> 00:56:09,080 Speaker 1: don't want to shut down scientific research. That's not it's 979 00:56:09,120 --> 00:56:11,960 Speaker 1: not at all what you know. The critics and the 980 00:56:12,000 --> 00:56:14,759 Speaker 1: skeptics of this, of this researchers saying, they're saying that 981 00:56:15,920 --> 00:56:20,800 Speaker 1: because of the clear cost potential cost to the public, 982 00:56:21,320 --> 00:56:23,920 Speaker 1: you have to be much clearer about the benefits that 983 00:56:23,960 --> 00:56:25,760 Speaker 1: you're going to bring to the public from this research. 984 00:56:25,840 --> 00:56:29,400 Speaker 1: It can't just be science for the sake of science, 985 00:56:29,480 --> 00:56:32,400 Speaker 1: like there has to be some you know, some public 986 00:56:32,480 --> 00:56:35,560 Speaker 1: health pursuit that's that's involved here. You have to show 987 00:56:35,640 --> 00:56:37,759 Speaker 1: how you could actually get to that, and you have 988 00:56:37,880 --> 00:56:41,080 Speaker 1: to show how you're how you're following safety protocols and 989 00:56:41,120 --> 00:56:45,279 Speaker 1: how you're being fully transparent along the way. And when 990 00:56:45,560 --> 00:56:47,960 Speaker 1: the NIAI d IS is telling the press that they 991 00:56:48,000 --> 00:56:49,560 Speaker 1: didn't know about this and that they wish they had, 992 00:56:49,760 --> 00:56:52,440 Speaker 1: it doesn't inspire confidence. No, And it's the same thing. 993 00:56:52,560 --> 00:56:54,279 Speaker 1: We're going back to exactly what was happening in the 994 00:56:54,360 --> 00:56:56,560 Speaker 1: Muhan lab. And that's the bottom line. Like we are 995 00:56:56,680 --> 00:57:01,000 Speaker 1: not doctors or researchers, medical scientists. We're not. We're journalists 996 00:57:01,040 --> 00:57:03,480 Speaker 1: and our job is to hold people in powerful positions accountable. 997 00:57:03,719 --> 00:57:05,360 Speaker 1: But whether you're a member of the public or a 998 00:57:05,440 --> 00:57:08,919 Speaker 1: journalist or whatever, like your job, you have to place 999 00:57:09,000 --> 00:57:11,960 Speaker 1: some measure of trust in experts, Like we cannot all 1000 00:57:12,080 --> 00:57:14,320 Speaker 1: be experts in the safety of this kind of research, 1001 00:57:14,560 --> 00:57:16,959 Speaker 1: but what we can do is make sure that people 1002 00:57:17,040 --> 00:57:20,080 Speaker 1: are doing it responsibly and they're doing it with the 1003 00:57:20,240 --> 00:57:23,600 Speaker 1: utmost security, and they're balancing the concerns if not wanting 1004 00:57:24,520 --> 00:57:28,080 Speaker 1: another pandemic or not want or any pandemic or an 1005 00:57:28,120 --> 00:57:32,160 Speaker 1: accident or whatever it is, with the concerns of medical 1006 00:57:32,200 --> 00:57:34,920 Speaker 1: advancement and research, et cetera, et cetera. But you know, 1007 00:57:35,520 --> 00:57:38,160 Speaker 1: they have to prove that they deserve that trust, and 1008 00:57:38,360 --> 00:57:41,320 Speaker 1: this is another example of them failing on that measure 1009 00:57:41,640 --> 00:57:44,439 Speaker 1: within the context of you know, twenty twenty to twenty 1010 00:57:44,480 --> 00:57:46,320 Speaker 1: twenty two, we're still in twenty twenty two. We're still 1011 00:57:46,360 --> 00:57:48,840 Speaker 1: in a couple of years of this and the country 1012 00:57:48,920 --> 00:57:52,240 Speaker 1: is going to take years to recover. And if Republicans 1013 00:57:52,320 --> 00:57:54,680 Speaker 1: do take the House, this is the kind of thing 1014 00:57:54,760 --> 00:57:58,400 Speaker 1: that I think researchers are going to have to expect 1015 00:57:58,440 --> 00:58:00,400 Speaker 1: that they're going to get investigated over it would be 1016 00:58:00,440 --> 00:58:04,120 Speaker 1: the one upside of a Republican majority. Because this is 1017 00:58:05,840 --> 00:58:08,920 Speaker 1: after potential immediate threat of nuclear war. This is one 1018 00:58:08,920 --> 00:58:11,760 Speaker 1: of the most important, or maybe the second most important 1019 00:58:11,800 --> 00:58:15,520 Speaker 1: issue in the world. The immediate mass threat to millions 1020 00:58:15,560 --> 00:58:17,280 Speaker 1: and millions of people is on the line. And there's 1021 00:58:17,320 --> 00:58:20,000 Speaker 1: been an explosive growth in the number of these labs 1022 00:58:20,080 --> 00:58:24,400 Speaker 1: around the world that are now doing this extraordinarily risky research, 1023 00:58:24,960 --> 00:58:26,520 Speaker 1: even just over the past couple of years. And the 1024 00:58:27,800 --> 00:58:31,040 Speaker 1: tragedy is that some of that has been sparked by 1025 00:58:31,120 --> 00:58:33,520 Speaker 1: the pandemic, which may itself have been sparked by a 1026 00:58:33,600 --> 00:58:37,240 Speaker 1: lab accident. And so if you now have dozens of 1027 00:58:37,360 --> 00:58:39,800 Speaker 1: labs around the world, and a lot of them doing 1028 00:58:40,600 --> 00:58:42,919 Speaker 1: what they call kind of dual use, which is both 1029 00:58:43,080 --> 00:58:49,720 Speaker 1: for military purposes and civilian purposes, the risk of either 1030 00:58:49,760 --> 00:58:53,160 Speaker 1: a purpose full release or an accidental release just goes 1031 00:58:53,280 --> 00:58:56,959 Speaker 1: up by the number of labs that you expand across 1032 00:58:57,080 --> 00:58:59,760 Speaker 1: the world, right Yeah, and they're doing all this with 1033 00:59:00,400 --> 00:59:02,960 Speaker 1: a huge deficite of public trust. Democrats have shown very 1034 00:59:03,000 --> 00:59:05,120 Speaker 1: little curiosity to getting to the bottom of this. It's 1035 00:59:05,160 --> 00:59:08,520 Speaker 1: absolutely true, whether it's for political reasons or legitimate moral 1036 00:59:08,560 --> 00:59:12,520 Speaker 1: reasons Republicans will be if they win the House, they 1037 00:59:12,520 --> 00:59:16,760 Speaker 1: will absolutely be overturning the medical community looking for evidence 1038 00:59:16,800 --> 00:59:20,760 Speaker 1: of what's happening with this, so an important story to follow. Certainly. 1039 00:59:21,000 --> 00:59:25,640 Speaker 1: We're joined now by Congressman Ken Buck, Republican of Colorado. Congressman, 1040 00:59:25,680 --> 00:59:28,560 Speaker 1: thank you so much for joining us on counterpoints. Thank you. 1041 00:59:28,600 --> 00:59:30,880 Speaker 1: It's going to be with you. Yeah. Absolutely. I think 1042 00:59:30,920 --> 00:59:32,760 Speaker 1: some people might wonder why we're always getting into the 1043 00:59:32,800 --> 00:59:35,400 Speaker 1: weeds on anti trust questions, and it's because, actually, anti 1044 00:59:35,440 --> 00:59:37,640 Speaker 1: trust has become a little bit sexy. There's a lot 1045 00:59:37,760 --> 00:59:41,080 Speaker 1: of political kind of conflict wrapped up in this question. 1046 00:59:41,720 --> 00:59:45,720 Speaker 1: It's true though, because and Congressman Buck, you've really been 1047 00:59:45,760 --> 00:59:48,840 Speaker 1: at the center of what's become I think a reasonable 1048 00:59:49,000 --> 00:59:52,400 Speaker 1: litmus test for people on the right concerned about consolidation 1049 00:59:52,720 --> 00:59:55,880 Speaker 1: and concentration of power in these massive tech companies. If 1050 00:59:55,920 --> 00:59:58,280 Speaker 1: you can get on board with some of the anti 1051 00:59:58,320 --> 01:00:01,600 Speaker 1: trust legislation that you've proposed, pushed for, and just passed 1052 01:00:01,680 --> 01:00:04,240 Speaker 1: the House recently, what on earth are you doing as 1053 01:00:04,280 --> 01:00:07,720 Speaker 1: a conservative? And I want to start by asking you, Congressman, 1054 01:00:08,120 --> 01:00:11,320 Speaker 1: if you think that in a new Congress come January, 1055 01:00:11,440 --> 01:00:14,360 Speaker 1: the package of anti trust legislation that was passed in September. 1056 01:00:14,760 --> 01:00:17,040 Speaker 1: I thinks so a lot of work from you will 1057 01:00:17,160 --> 01:00:20,200 Speaker 1: be taken up by the Senate by potentially Amy Klobaschar. 1058 01:00:20,800 --> 01:00:22,600 Speaker 1: Do you have any hopes that this goes to the 1059 01:00:22,680 --> 01:00:26,200 Speaker 1: Senate actually come January right away? Well, I don't know 1060 01:00:26,240 --> 01:00:28,560 Speaker 1: about January. I think in the lame duck session in 1061 01:00:28,760 --> 01:00:31,560 Speaker 1: November and December, there's a good chance that it would 1062 01:00:31,560 --> 01:00:33,680 Speaker 1: be taken up by the Senate. One of these bills 1063 01:00:33,960 --> 01:00:36,000 Speaker 1: is really the one bill we passed in the House 1064 01:00:36,080 --> 01:00:38,880 Speaker 1: was a combination of three bills. One of the bills 1065 01:00:38,920 --> 01:00:43,040 Speaker 1: has already passed the Senate unanimously, another one has passed 1066 01:00:43,040 --> 01:00:47,560 Speaker 1: through the Judiciary Committee and the Senate unanimously, and the 1067 01:00:47,680 --> 01:00:51,480 Speaker 1: last bill is a Senator Holly bill that I think 1068 01:00:51,560 --> 01:00:55,800 Speaker 1: has bried broad bipartisan support. So I think that the 1069 01:00:55,880 --> 01:01:00,880 Speaker 1: bill will pass the Senate in November December. In particular 1070 01:01:01,000 --> 01:01:05,680 Speaker 1: with Clover Char's major competition bill, it does seem like 1071 01:01:05,720 --> 01:01:07,520 Speaker 1: if it goes to the floor, it has at least 1072 01:01:07,560 --> 01:01:10,720 Speaker 1: the sixty votes needed to pass, but getting it onto 1073 01:01:10,760 --> 01:01:14,040 Speaker 1: the floor has been the major obstacle for its backers. 1074 01:01:14,360 --> 01:01:17,320 Speaker 1: What is your sense of the White House's appetite for 1075 01:01:17,400 --> 01:01:19,640 Speaker 1: this fight at this point, are they are they sending 1076 01:01:19,720 --> 01:01:21,960 Speaker 1: signals to the Hill that they wanted that they want 1077 01:01:22,040 --> 01:01:26,000 Speaker 1: this to get done during the lame Duck. You know, 1078 01:01:26,000 --> 01:01:29,080 Speaker 1: I have to tell you, I think every group has 1079 01:01:29,720 --> 01:01:33,640 Speaker 1: conflicts within the group. So the House Democrats have conflicts 1080 01:01:33,880 --> 01:01:37,400 Speaker 1: Zoe Lofgren taking the side against and I trust we 1081 01:01:37,600 --> 01:01:41,160 Speaker 1: have conflicts within the House Republicans. The White House is 1082 01:01:41,200 --> 01:01:44,600 Speaker 1: in the same situation. I think they have folks in 1083 01:01:44,680 --> 01:01:47,080 Speaker 1: the White House who are very strongly in favor of 1084 01:01:47,240 --> 01:01:49,960 Speaker 1: competition in this in the big Zech area. I think 1085 01:01:50,000 --> 01:01:52,000 Speaker 1: there are folks in the White House who are sending 1086 01:01:52,040 --> 01:01:54,440 Speaker 1: other signals. So I don't think it is a unified 1087 01:01:55,000 --> 01:01:59,760 Speaker 1: message at this point. Clearly, the Federal Trade Commission and 1088 01:01:59,760 --> 01:02:02,120 Speaker 1: the trust A Vision at the Department of Justice have 1089 01:02:02,280 --> 01:02:04,160 Speaker 1: sent a very clear signal that they want to see 1090 01:02:04,200 --> 01:02:07,240 Speaker 1: these bills pass. The White House has generally been supportive. 1091 01:02:07,880 --> 01:02:13,720 Speaker 1: Hopefully they will make sure that the Majority Leader, Chuck Schumer, 1092 01:02:14,360 --> 01:02:17,280 Speaker 1: gets the message that this is important and has to 1093 01:02:17,360 --> 01:02:20,720 Speaker 1: be done in the last two months of this Congress. Yeah, 1094 01:02:20,880 --> 01:02:23,640 Speaker 1: and of course Chuck Schumer's daughters both work for tech firms, 1095 01:02:23,760 --> 01:02:26,160 Speaker 1: so it's an uphill battle on the left as well. 1096 01:02:26,360 --> 01:02:29,880 Speaker 1: And Congressman I want to play devil's advocate, because the 1097 01:02:29,960 --> 01:02:33,360 Speaker 1: argument that was coming from particularly Jim Jordan was it 1098 01:02:33,600 --> 01:02:35,560 Speaker 1: was sort of saying, why would we want to give 1099 01:02:35,600 --> 01:02:38,960 Speaker 1: more power to someone who has a hard leftist, a 1100 01:02:39,040 --> 01:02:42,640 Speaker 1: progressive like Lena Khan right now to sort of advance 1101 01:02:42,720 --> 01:02:47,600 Speaker 1: potentially the woke agenda with this package of legislation. Why 1102 01:02:47,760 --> 01:02:50,880 Speaker 1: is it not the case that sort of subverting what's 1103 01:02:50,920 --> 01:02:55,320 Speaker 1: seen as free market dogma, conservative dogma and giving some 1104 01:02:55,480 --> 01:02:59,280 Speaker 1: muscle and some power to anti trust enforcers is empowering 1105 01:02:59,360 --> 01:03:02,640 Speaker 1: a sort of leftist government. What is it about this 1106 01:03:02,720 --> 01:03:07,960 Speaker 1: package of legislation that you see as worth empowering government. Well, 1107 01:03:08,520 --> 01:03:11,600 Speaker 1: there's a number of counter arguments to that, and and frankly, 1108 01:03:11,760 --> 01:03:13,560 Speaker 1: I just think it's an argument that you throw up 1109 01:03:13,960 --> 01:03:16,240 Speaker 1: to give people cover not to vote for something that's 1110 01:03:16,280 --> 01:03:19,320 Speaker 1: a really good bill. We're talking about the funding portion 1111 01:03:19,480 --> 01:03:22,440 Speaker 1: of the bill that just passed the House. And if 1112 01:03:22,480 --> 01:03:25,520 Speaker 1: we don't fund the FBI, or we don't fund the 1113 01:03:25,600 --> 01:03:29,320 Speaker 1: Department of Justice, or we don't fund whatever group that 1114 01:03:30,000 --> 01:03:34,480 Speaker 1: conservatives are upset about at the moment, it has ramifications 1115 01:03:34,520 --> 01:03:37,680 Speaker 1: in other areas than just a particular area that they 1116 01:03:37,760 --> 01:03:41,920 Speaker 1: are taking and running to the left with. So, you know, 1117 01:03:41,960 --> 01:03:49,240 Speaker 1: an example, the FTC would be able to hire staff 1118 01:03:49,360 --> 01:03:52,720 Speaker 1: until this became law, which would be next fiscal year. 1119 01:03:53,400 --> 01:03:56,200 Speaker 1: Then they would go through a hiring process, which takes 1120 01:03:56,240 --> 01:03:59,880 Speaker 1: the FDC to be able to you know, increase off 1121 01:04:00,160 --> 01:04:03,280 Speaker 1: supplies and support staff and all the other things they 1122 01:04:03,360 --> 01:04:05,920 Speaker 1: have to do. It's at least a two year process 1123 01:04:06,000 --> 01:04:08,640 Speaker 1: before they get people on board. There's a very good 1124 01:04:08,720 --> 01:04:11,680 Speaker 1: chance that a Republican president is an office in two years. 1125 01:04:12,080 --> 01:04:15,440 Speaker 1: We have a whole new Federal Trade Commission leadership in 1126 01:04:15,560 --> 01:04:20,800 Speaker 1: two years, and we are doing what Republicans want done, 1127 01:04:21,080 --> 01:04:24,760 Speaker 1: what Republicans wanted in the Trump administration. What the Trump 1128 01:04:24,760 --> 01:04:29,000 Speaker 1: administration directed the FTC in the Anti Trust Division to 1129 01:04:29,120 --> 01:04:32,120 Speaker 1: do was to go after big Tech. There were several 1130 01:04:32,200 --> 01:04:39,440 Speaker 1: lawsuits filed with states and by themselves those two entities. 1131 01:04:40,240 --> 01:04:43,360 Speaker 1: And so the idea that somehow we're empowering Nina Khan 1132 01:04:43,520 --> 01:04:47,840 Speaker 1: tomorrow by passing this bill is just nonsense. And for 1133 01:04:48,040 --> 01:04:50,880 Speaker 1: antitrust advocates on both the left and the right, one 1134 01:04:50,920 --> 01:04:54,120 Speaker 1: of the things that's been most disappointing to them about 1135 01:04:54,200 --> 01:04:56,920 Speaker 1: the Republican posture here has been the kind of behavior 1136 01:04:56,960 --> 01:05:01,000 Speaker 1: of the Republicans on the FTC, the Republican commissioners there, 1137 01:05:01,600 --> 01:05:05,760 Speaker 1: and one of them, who was Noah Phillips, just recently 1138 01:05:05,800 --> 01:05:08,840 Speaker 1: retired and has already joined the law firm. He recused 1139 01:05:08,960 --> 01:05:14,080 Speaker 1: from a vote on Amazon because he was already negotiating 1140 01:05:14,080 --> 01:05:17,520 Speaker 1: apparently employment with Kravat, the law firm that is representing 1141 01:05:17,920 --> 01:05:22,040 Speaker 1: Amazon Amazon and its MGM merger. But what's important here 1142 01:05:22,080 --> 01:05:24,200 Speaker 1: is that that's going to open up a critical position 1143 01:05:24,440 --> 01:05:28,800 Speaker 1: on the FTC. And if kind of Republican populace, you know, 1144 01:05:28,840 --> 01:05:31,800 Speaker 1: who believe in antitrust is a serious issue, can start 1145 01:05:31,880 --> 01:05:36,600 Speaker 1: populating these commissions with like minded people, then you could 1146 01:05:36,800 --> 01:05:40,360 Speaker 1: end up with a kind of kind of permanent majority 1147 01:05:40,440 --> 01:05:44,080 Speaker 1: on these commissions of people who are skeptical of corporate power. 1148 01:05:44,600 --> 01:05:47,600 Speaker 1: Is there any movement inside your kind of your faction 1149 01:05:47,760 --> 01:05:51,120 Speaker 1: of the Republican Party to make sure that whoever gets 1150 01:05:51,160 --> 01:05:54,840 Speaker 1: sent to replace Phillips is somebody who comes kind of 1151 01:05:54,960 --> 01:05:57,160 Speaker 1: comes from your camp or is the kind of more 1152 01:05:57,280 --> 01:06:01,480 Speaker 1: pro business wing. Still when it comes to the pipeline 1153 01:06:01,760 --> 01:06:06,440 Speaker 1: of commissioners and regulators, well, I tell you you're asking 1154 01:06:06,480 --> 01:06:10,320 Speaker 1: the wrong person. Mitch McConnell, Chuck Schumer and Joe Biden 1155 01:06:10,480 --> 01:06:12,640 Speaker 1: are the three, or whoever's running the White House are 1156 01:06:12,680 --> 01:06:15,680 Speaker 1: the three people who are going to be making that decision. 1157 01:06:15,920 --> 01:06:18,560 Speaker 1: I think they're reviewing applications at this point. I hope 1158 01:06:18,600 --> 01:06:23,200 Speaker 1: that the person that is appointed isn't skeptical of corporate 1159 01:06:23,320 --> 01:06:25,960 Speaker 1: power as much as they are pro competition as much 1160 01:06:26,000 --> 01:06:30,560 Speaker 1: as they are someone who wants to see competition as 1161 01:06:30,640 --> 01:06:33,680 Speaker 1: the answer to the many ills that we see with 1162 01:06:34,080 --> 01:06:38,000 Speaker 1: big tech. So I don't know if they're considering someone 1163 01:06:38,080 --> 01:06:41,000 Speaker 1: who is in favor of these lawsuits. I hope they are, 1164 01:06:41,160 --> 01:06:44,960 Speaker 1: because these lawsuits are really This bill that passed the 1165 01:06:45,080 --> 01:06:48,960 Speaker 1: House was supported by Mike Lee, was supported by many 1166 01:06:49,080 --> 01:06:54,440 Speaker 1: senators who spoke up vigorously to talk about the benefits 1167 01:06:54,480 --> 01:06:57,120 Speaker 1: that this anti trust package would have. So I don't 1168 01:06:57,120 --> 01:07:01,560 Speaker 1: think it is just a populist issue. Mike Lee's a 1169 01:07:01,720 --> 01:07:05,320 Speaker 1: very strong advocate for the consumer welfare standard. He supported 1170 01:07:05,360 --> 01:07:08,160 Speaker 1: this bill. I think that we can find someone who 1171 01:07:08,360 --> 01:07:11,960 Speaker 1: is a strong advocate for anti trust as a solution 1172 01:07:12,440 --> 01:07:16,120 Speaker 1: that will be able to move forward with these lawsuits 1173 01:07:16,160 --> 01:07:18,800 Speaker 1: against big tech. Yeah, and in general, do you have 1174 01:07:18,840 --> 01:07:21,240 Speaker 1: a sense of where Republican leadership stands on this? As 1175 01:07:21,520 --> 01:07:23,480 Speaker 1: you mentioned Mitch McConnell, and it's sort of harder to 1176 01:07:23,480 --> 01:07:25,760 Speaker 1: know where Mitch McConnell is on anti trust. But over 1177 01:07:25,880 --> 01:07:28,440 Speaker 1: on the House side, if Kevin McCarthy is Speaker of 1178 01:07:28,520 --> 01:07:31,560 Speaker 1: the House and is overseeing some of this legislation and 1179 01:07:32,080 --> 01:07:35,720 Speaker 1: oversight and processes, do you have a stance on whether 1180 01:07:35,800 --> 01:07:39,120 Speaker 1: he's willing to really seriously look at at anti trust. 1181 01:07:40,160 --> 01:07:43,760 Speaker 1: I think Kevin sees other possible solutions with Section two 1182 01:07:43,880 --> 01:07:46,520 Speaker 1: thirty and with some privacy laws. I've been advocating with 1183 01:07:46,680 --> 01:07:49,600 Speaker 1: Kevin and others in the Republican Conference that we need 1184 01:07:49,680 --> 01:07:52,320 Speaker 1: to use anti trust as one of the solutions. Obviously, 1185 01:07:52,440 --> 01:07:55,640 Speaker 1: Kevin voted against, as did Jim Jordan, the anti trust 1186 01:07:55,720 --> 01:07:59,600 Speaker 1: package that was passed. There was sort of an informal 1187 01:07:59,680 --> 01:08:03,160 Speaker 1: whip that was going on where members were discouraged from 1188 01:08:03,240 --> 01:08:06,840 Speaker 1: voting for this package. And this package was really the 1189 01:08:06,920 --> 01:08:11,920 Speaker 1: sort of minimal package that we have. There's fifteen bills. 1190 01:08:12,280 --> 01:08:14,960 Speaker 1: The three that were offered were the least intruce of 1191 01:08:15,040 --> 01:08:19,240 Speaker 1: the least burdensome in the tech area. And so I 1192 01:08:19,400 --> 01:08:22,880 Speaker 1: think that Kevin is somewhat skeptical, but I hope that 1193 01:08:22,960 --> 01:08:26,479 Speaker 1: as we move forward, he sees what's happening in this election, 1194 01:08:26,680 --> 01:08:31,520 Speaker 1: he sees what's happening in speech, generally, he will recognize 1195 01:08:31,600 --> 01:08:35,800 Speaker 1: the threat to our democracy from a few companies controlling 1196 01:08:35,880 --> 01:08:40,280 Speaker 1: information flow in a time of elections. Yeah, it has 1197 01:08:40,320 --> 01:08:42,719 Speaker 1: seemed to me that the concern on the right around 1198 01:08:42,800 --> 01:08:46,519 Speaker 1: big tech censorship was really kind of the opening for 1199 01:08:46,640 --> 01:08:50,479 Speaker 1: this conversation around anti trust. And I'm wondering if that's 1200 01:08:50,520 --> 01:08:53,920 Speaker 1: the beginning and the end of the conversation on the right. 1201 01:08:54,000 --> 01:08:57,519 Speaker 1: In other words, Okay, okay, you were concerned about big 1202 01:08:57,560 --> 01:08:59,640 Speaker 1: tech censorship. So we can either do anti trust or, 1203 01:08:59,680 --> 01:09:02,600 Speaker 1: as you said, Leader McCarthy, can look for other solutions 1204 01:09:02,680 --> 01:09:05,840 Speaker 1: like section two thirty, which then also says we don't 1205 01:09:05,840 --> 01:09:08,280 Speaker 1: need to look too far beyond big tech, like we 1206 01:09:08,360 --> 01:09:11,080 Speaker 1: don't need to follow Lena Khan at looking at kind 1207 01:09:11,080 --> 01:09:16,439 Speaker 1: of poultry industry consolidation or consolidation and railroads consolidation all 1208 01:09:16,479 --> 01:09:20,679 Speaker 1: over the economy and the problems it's that it's creating. 1209 01:09:21,040 --> 01:09:25,519 Speaker 1: So when you talk to your colleagues, what are they 1210 01:09:25,600 --> 01:09:28,560 Speaker 1: more motivated by a competitive economy or is it just 1211 01:09:28,680 --> 01:09:32,000 Speaker 1: kind of anger at big tech and censorship? And once 1212 01:09:32,160 --> 01:09:34,559 Speaker 1: that issue is kind of off the table, they're okay 1213 01:09:35,080 --> 01:09:39,200 Speaker 1: with concentration, you know, corporate concentration. Well, I think big 1214 01:09:39,320 --> 01:09:42,640 Speaker 1: tech is really a unique situation where we have is 1215 01:09:43,880 --> 01:09:47,920 Speaker 1: a change in our economy to e commerce, to social 1216 01:09:48,040 --> 01:09:52,120 Speaker 1: media interaction that we haven't seen before. And the last 1217 01:09:52,520 --> 01:09:56,240 Speaker 1: really major change was the Industrial Revolution, and the Sherman 1218 01:09:56,479 --> 01:09:59,519 Speaker 1: Act and the Clayton Act were enacted during that time 1219 01:09:59,600 --> 01:10:04,519 Speaker 1: period because of the shift in the economy and how 1220 01:10:04,720 --> 01:10:08,360 Speaker 1: some people, very smart people look. I give these Jeff 1221 01:10:08,400 --> 01:10:11,360 Speaker 1: Bezos Mark Zuckerberg all the credit in the world. They 1222 01:10:11,400 --> 01:10:15,760 Speaker 1: are incredibly bright and they saw what was coming and 1223 01:10:15,840 --> 01:10:18,479 Speaker 1: they took advantage of it. So I think big tech 1224 01:10:18,640 --> 01:10:23,360 Speaker 1: is unique. I also think that competition in the marketplace 1225 01:10:23,600 --> 01:10:26,280 Speaker 1: is healthy, and we need to look at competition in 1226 01:10:26,360 --> 01:10:28,080 Speaker 1: the marketplace, but we need to look at it with 1227 01:10:28,200 --> 01:10:31,479 Speaker 1: a view towards what's best for consumers. Big tech is 1228 01:10:31,920 --> 01:10:37,800 Speaker 1: clearly not a consumer friendly, especially in the long term 1229 01:10:37,920 --> 01:10:43,439 Speaker 1: consumer friendly businesses, and so we have to address big 1230 01:10:43,560 --> 01:10:46,719 Speaker 1: tech separately in how we look at the economy overall. 1231 01:10:47,040 --> 01:10:51,200 Speaker 1: So I think the Republicans generally don't want to punish success. 1232 01:10:51,720 --> 01:10:54,080 Speaker 1: We want to celebrate success. We want to make sure 1233 01:10:54,160 --> 01:10:58,920 Speaker 1: that we are staying ahead of our international competitors. Both 1234 01:10:59,040 --> 01:11:02,320 Speaker 1: nation states and and businesses. But at the same time, 1235 01:11:02,439 --> 01:11:05,680 Speaker 1: we want a competitive economy. So I think Republicans and 1236 01:11:05,760 --> 01:11:08,400 Speaker 1: Democrats may balance a little bit differently when we come 1237 01:11:08,439 --> 01:11:11,000 Speaker 1: to anti trust. I don't think we have that difference 1238 01:11:11,040 --> 01:11:13,920 Speaker 1: in balance when it comes to big tech. A broader 1239 01:11:14,040 --> 01:11:16,200 Speaker 1: question actually along those same lines, I was just thinking 1240 01:11:16,280 --> 01:11:20,920 Speaker 1: as you were talking, I wondered if, seeing and witnessing 1241 01:11:21,000 --> 01:11:24,000 Speaker 1: up close as somebody who's working on anti trust issues 1242 01:11:24,080 --> 01:11:27,760 Speaker 1: related to big tech, the kind of corporate capture of 1243 01:11:28,280 --> 01:11:31,360 Speaker 1: so many officials in Washington, d C, whether they're on 1244 01:11:31,439 --> 01:11:35,679 Speaker 1: the FTC, whether they're you know, congressional staff that are 1245 01:11:35,760 --> 01:11:39,839 Speaker 1: behind the scenes and you know, influencing votes for their members, 1246 01:11:40,600 --> 01:11:43,960 Speaker 1: has that changed the way that you see the sort 1247 01:11:44,000 --> 01:11:48,000 Speaker 1: of concentration and consolidation of power more generally as a 1248 01:11:48,120 --> 01:11:51,519 Speaker 1: Republican or as a conservative. Looking at, for instance, what 1249 01:11:52,160 --> 01:11:55,920 Speaker 1: types of mergers Republican appointed people on the FTC have 1250 01:11:56,200 --> 01:11:58,800 Speaker 1: historically allowed, and Democratic appointed people in the FTC have 1251 01:11:59,040 --> 01:12:02,479 Speaker 1: historically allowed things even happened under President Obama, has it 1252 01:12:02,720 --> 01:12:06,920 Speaker 1: opened up your eyes to any like new issues as 1253 01:12:07,000 --> 01:12:09,240 Speaker 1: it pertains to anti trust, or as it pertains to 1254 01:12:09,840 --> 01:12:14,640 Speaker 1: the way that corporations actually really do block competition in 1255 01:12:14,680 --> 01:12:19,240 Speaker 1: the marketplace, maybe more than conservatives have historically been worried about. 1256 01:12:20,400 --> 01:12:21,920 Speaker 1: I just want to make sure I understand your question. 1257 01:12:22,240 --> 01:12:24,120 Speaker 1: Are you talking about the influence that they exert in 1258 01:12:24,200 --> 01:12:26,600 Speaker 1: the legislative process of the influence they exert in the 1259 01:12:27,320 --> 01:12:33,599 Speaker 1: executive branch side? Kind of in Washington in general, because 1260 01:12:33,760 --> 01:12:35,560 Speaker 1: it is in all of those different spaces, and you 1261 01:12:35,640 --> 01:12:38,839 Speaker 1: see it really clearly in big tech, and as you say, Congressman, 1262 01:12:38,880 --> 01:12:40,560 Speaker 1: it is sort of a different you know, trying to 1263 01:12:40,600 --> 01:12:44,240 Speaker 1: apply comic charriator. Big tech is an interesting idea and 1264 01:12:44,439 --> 01:12:47,439 Speaker 1: sort of highlights how different it is. But have you 1265 01:12:47,800 --> 01:12:49,599 Speaker 1: has it opened it up your eyes to maybe broader 1266 01:12:49,680 --> 01:12:54,840 Speaker 1: problems in this question of competition and consolidation. Well, I 1267 01:12:54,920 --> 01:12:57,120 Speaker 1: wrote a book called Drain the Swamp several years ago, 1268 01:12:57,200 --> 01:12:59,800 Speaker 1: so I think my eyes were opened to just how 1269 01:13:01,640 --> 01:13:06,439 Speaker 1: business conducts itself in the legislative process and on the 1270 01:13:07,360 --> 01:13:09,920 Speaker 1: administrative side over the executive branch. But I think that 1271 01:13:11,280 --> 01:13:16,759 Speaker 1: these companies Amazon, Apple, Facebook, Google have a huge amount 1272 01:13:16,840 --> 01:13:21,439 Speaker 1: of resources. They spend a ton of money lobbying Congress, 1273 01:13:21,479 --> 01:13:25,479 Speaker 1: And by lobbying, I mean giving checks to members for 1274 01:13:25,640 --> 01:13:28,519 Speaker 1: their re election campaign or giving checks to candidates who 1275 01:13:28,560 --> 01:13:32,040 Speaker 1: are running, They run commercials. They ran over thirty million 1276 01:13:32,080 --> 01:13:36,200 Speaker 1: dollars of commercials and members districts in one month. So 1277 01:13:36,840 --> 01:13:41,519 Speaker 1: absolutely they are They are fighting what they believe is 1278 01:13:41,760 --> 01:13:46,919 Speaker 1: a battle that is somewhat existential to their monopoly status, 1279 01:13:47,520 --> 01:13:52,720 Speaker 1: and they're going to use every resource, every trick that 1280 01:13:52,880 --> 01:13:57,200 Speaker 1: they can to fight this battle. So yeah, it's opened 1281 01:13:57,240 --> 01:14:01,320 Speaker 1: my eyes even more to just how intense an issue 1282 01:14:01,400 --> 01:14:08,519 Speaker 1: like this can get when we're facing the four largest companies, 1283 01:14:08,600 --> 01:14:10,799 Speaker 1: and really in the history of the world, these companies, 1284 01:14:11,760 --> 01:14:16,560 Speaker 1: their net worth is larger than all but something like 1285 01:14:16,640 --> 01:14:20,519 Speaker 1: twenty countries in the world. That the gross national product 1286 01:14:20,560 --> 01:14:23,840 Speaker 1: of twenty countries in the world. We're talking about absolutely 1287 01:14:23,960 --> 01:14:29,280 Speaker 1: huge companies. And I don't suggest that huge is bad. 1288 01:14:29,680 --> 01:14:33,080 Speaker 1: I do suggest that when you have a monopoly, you 1289 01:14:33,200 --> 01:14:36,280 Speaker 1: can one use the resources from the money the revenue 1290 01:14:36,280 --> 01:14:38,880 Speaker 1: that you make in that monopoly. But also when you 1291 01:14:38,920 --> 01:14:42,360 Speaker 1: have a monopoly on information, you can use your search 1292 01:14:42,520 --> 01:14:46,320 Speaker 1: engine to impact politics, you can use your social media 1293 01:14:46,800 --> 01:14:50,439 Speaker 1: influence to impact politics. And I think that's what's going on. 1294 01:14:50,600 --> 01:14:54,040 Speaker 1: It's even more important than what we see in Federal 1295 01:14:54,040 --> 01:14:57,800 Speaker 1: Election Commission reports. And you had mentioned that there's some 1296 01:14:57,880 --> 01:15:02,800 Speaker 1: disagreement within the administration over how far to push how 1297 01:15:02,880 --> 01:15:06,439 Speaker 1: hard to push on anti trust. You obviously, both the 1298 01:15:06,560 --> 01:15:09,679 Speaker 1: FTC and the DOJ are strong on this, but I'm wondering, 1299 01:15:09,760 --> 01:15:12,400 Speaker 1: from your perspective, where the where the weakest spots are 1300 01:15:12,479 --> 01:15:16,120 Speaker 1: coming from. Are you thinking Commerce Department or is there 1301 01:15:16,120 --> 01:15:18,000 Speaker 1: anybody that you can point to or any kind of 1302 01:15:18,040 --> 01:15:21,880 Speaker 1: power center within the White House that you think is 1303 01:15:21,960 --> 01:15:26,760 Speaker 1: playing a particularly kind of slow walking role here. Yeah, 1304 01:15:26,800 --> 01:15:29,479 Speaker 1: I don't really know the White House politics well enough. 1305 01:15:29,560 --> 01:15:34,600 Speaker 1: I just know that when requests have been made for supports, 1306 01:15:34,920 --> 01:15:36,960 Speaker 1: it has been slow walked at times, and I know 1307 01:15:37,120 --> 01:15:42,000 Speaker 1: that there are differences of opinion in the White House 1308 01:15:42,120 --> 01:15:44,280 Speaker 1: as to how to proceed in this. I think that 1309 01:15:44,439 --> 01:15:49,200 Speaker 1: the FTC and the Anti Trust Division have been very 1310 01:15:49,280 --> 01:15:53,519 Speaker 1: strong and very consistent in how they want to approach 1311 01:15:53,840 --> 01:15:57,800 Speaker 1: the work with big Tech. And one last question for 1312 01:15:57,840 --> 01:16:02,439 Speaker 1: your Congressman, this anti trust fight over the package past 1313 01:16:02,520 --> 01:16:06,320 Speaker 1: last month got a little rocky just among Freedom Caucus members. 1314 01:16:06,320 --> 01:16:09,760 Speaker 1: We've talked about Congressman Jordan, and obviously, if Republicans win 1315 01:16:09,880 --> 01:16:13,799 Speaker 1: back the House, the Freedom Caucus becomes very very powerful, 1316 01:16:14,200 --> 01:16:16,799 Speaker 1: and I'm wondering if this opened up, if this battle 1317 01:16:16,880 --> 01:16:19,960 Speaker 1: opened up any rifts in the Freedom Caucus, or if 1318 01:16:20,000 --> 01:16:21,800 Speaker 1: it's sort of gotten to a point where the Freedom 1319 01:16:21,800 --> 01:16:24,519 Speaker 1: Caucus will be less effective because of these disagreements, or 1320 01:16:24,560 --> 01:16:27,599 Speaker 1: because it shifted the internal dynamics, or is it something 1321 01:16:27,640 --> 01:16:31,960 Speaker 1: we're sort of like agree to disagree and move on. Well, 1322 01:16:32,479 --> 01:16:34,160 Speaker 1: I have to tell I was a founding member of 1323 01:16:34,160 --> 01:16:37,280 Speaker 1: the Freedom Caucus back in twenty fifteen, and the whole 1324 01:16:37,360 --> 01:16:39,360 Speaker 1: idea of the Freedom Caucus was to get a group 1325 01:16:39,400 --> 01:16:43,479 Speaker 1: of people, group of members together one night a week 1326 01:16:43,600 --> 01:16:47,360 Speaker 1: during the time we're in session, to debate the issues 1327 01:16:47,439 --> 01:16:49,439 Speaker 1: that we were going to be facing. And that's exactly 1328 01:16:49,520 --> 01:16:53,520 Speaker 1: what the Freedom Caucus does is disagree, and by disagreeing, 1329 01:16:53,640 --> 01:16:55,479 Speaker 1: we listen to each other and we end up with 1330 01:16:55,560 --> 01:16:59,800 Speaker 1: a stronger position, sometimes a position that the Freedom Caucus takes, 1331 01:17:00,080 --> 01:17:04,280 Speaker 1: sometimes a position that individual members take. I was encouraged 1332 01:17:04,360 --> 01:17:07,160 Speaker 1: that a dozen Freedom Caucus members and I think it 1333 01:17:07,280 --> 01:17:11,800 Speaker 1: was seven members of the Judiciary Committee went against leadership 1334 01:17:12,400 --> 01:17:16,200 Speaker 1: both of the Judiciary Committee and in the House Republican 1335 01:17:16,560 --> 01:17:20,760 Speaker 1: Conference to vote for these bills. So I don't think 1336 01:17:20,760 --> 01:17:23,559 Speaker 1: there's a rift in the sense that there's some sort 1337 01:17:23,600 --> 01:17:26,240 Speaker 1: of personal animus out there. I think that there is 1338 01:17:27,160 --> 01:17:32,519 Speaker 1: a strong disagreement and a strong discussion that's taking place, 1339 01:17:32,640 --> 01:17:36,080 Speaker 1: and it will help us in creating better laws down 1340 01:17:36,120 --> 01:17:39,120 Speaker 1: the road. Do you expect any of the other bills 1341 01:17:39,280 --> 01:17:42,320 Speaker 1: that the House has worked on have a shot at 1342 01:17:42,360 --> 01:17:46,880 Speaker 1: getting through this cycle or are you mostly consolidating now 1343 01:17:46,920 --> 01:17:49,800 Speaker 1: and just pushing forward on the ones that have gotten 1344 01:17:49,840 --> 01:17:53,120 Speaker 1: through and trying to get them onto Biden's desk. Well, 1345 01:17:53,160 --> 01:17:55,000 Speaker 1: the House has done its job in terms of the 1346 01:17:55,320 --> 01:18:00,360 Speaker 1: three bills that were combined into one vote. Now that's 1347 01:18:00,400 --> 01:18:02,360 Speaker 1: up to the Senate. I think the Senate will pass that. 1348 01:18:02,439 --> 01:18:05,000 Speaker 1: I think that will get to President Biden's desk. I 1349 01:18:05,080 --> 01:18:09,040 Speaker 1: think the other bills we've passed a number out of 1350 01:18:09,080 --> 01:18:12,639 Speaker 1: Senate Judiciary Committee, and there have been some other bills 1351 01:18:12,680 --> 01:18:14,760 Speaker 1: that passed out of I'm sorry, we passed a number 1352 01:18:14,760 --> 01:18:17,080 Speaker 1: of a House Judiciary part been other bills that have 1353 01:18:17,120 --> 01:18:19,640 Speaker 1: passed out of Senate Judiciary Committee. So I think that 1354 01:18:20,120 --> 01:18:23,840 Speaker 1: there will be a close look at some of those bills. 1355 01:18:24,200 --> 01:18:27,240 Speaker 1: We'll try to get them to the House floor. Leadership 1356 01:18:27,640 --> 01:18:29,960 Speaker 1: in the Senate and the House may decide to put 1357 01:18:30,000 --> 01:18:33,479 Speaker 1: some of those into the omnibus package that always passes 1358 01:18:33,760 --> 01:18:36,599 Speaker 1: on Christmas Eve. And I expect an omnimous to pass 1359 01:18:36,640 --> 01:18:40,200 Speaker 1: again on Christmas Eve, and so there may be some 1360 01:18:40,400 --> 01:18:43,280 Speaker 1: more legislation that passes. I think people realize that the 1361 01:18:43,360 --> 01:18:46,560 Speaker 1: clock is running out. It's much less likely that the 1362 01:18:46,680 --> 01:18:52,880 Speaker 1: Republican Conference under Kevin McCarthy's leadership as Speaker will move 1363 01:18:53,000 --> 01:18:55,040 Speaker 1: anti trust bills, and so there is a sense of 1364 01:18:55,200 --> 01:18:57,719 Speaker 1: urgency to get things done in the next two months. 1365 01:18:59,040 --> 01:19:01,439 Speaker 1: I mean, why is that? I think because we talk 1366 01:19:01,479 --> 01:19:04,720 Speaker 1: a lot about this populist moment, but then at the 1367 01:19:04,760 --> 01:19:10,120 Speaker 1: same time, everybody understands that if McCarthy becomes speaker, that 1368 01:19:10,320 --> 01:19:13,920 Speaker 1: these big companies are in better shape and less likely 1369 01:19:14,000 --> 01:19:17,880 Speaker 1: to see anti trust legislation get past. So why is 1370 01:19:17,960 --> 01:19:20,360 Speaker 1: that and what can people on the outside do to 1371 01:19:20,439 --> 01:19:23,280 Speaker 1: kind of change that dynamic. Well, I'll tell you, I 1372 01:19:23,360 --> 01:19:26,240 Speaker 1: blame myself. I haven't done a good enough job of 1373 01:19:26,400 --> 01:19:29,600 Speaker 1: working with Kevin McCarthy, working with Kevin McCarthy's staff, and 1374 01:19:29,720 --> 01:19:33,679 Speaker 1: making sure they understand the significance of anti trust laws. 1375 01:19:33,720 --> 01:19:36,920 Speaker 1: The great history that we have in the Republican Party 1376 01:19:37,080 --> 01:19:40,000 Speaker 1: with anti trust laws, how anti trust has evolved with 1377 01:19:40,160 --> 01:19:45,000 Speaker 1: Republican conservative thinkers like Milton Freeman and Judge Bork, and 1378 01:19:45,120 --> 01:19:47,599 Speaker 1: so I need to do a better job of working 1379 01:19:48,080 --> 01:19:50,240 Speaker 1: with some of the skeptics that we have in the 1380 01:19:50,360 --> 01:19:55,120 Speaker 1: House and getting things passed. I think Kevin McCarthy really 1381 01:19:55,400 --> 01:19:59,320 Speaker 1: is a mathematician. He looks at the number of votes. 1382 01:19:59,360 --> 01:20:01,920 Speaker 1: That's something need to get to two eighteen. If a 1383 01:20:02,040 --> 01:20:05,479 Speaker 1: majority of those Republicans are going to vote for that, 1384 01:20:06,479 --> 01:20:09,240 Speaker 1: he will consider it. And that's my job to make 1385 01:20:09,280 --> 01:20:12,840 Speaker 1: sure that I present that to the news speaker in 1386 01:20:13,160 --> 01:20:16,120 Speaker 1: a way that we can get anti trust bills passed. 1387 01:20:16,680 --> 01:20:19,240 Speaker 1: We'll be following that very very closely. We'll send him 1388 01:20:19,240 --> 01:20:21,280 Speaker 1: this video. That's right, that's right. I actually have a 1389 01:20:21,280 --> 01:20:23,639 Speaker 1: piece coming out about it this week too, So Congressman Kembuck, 1390 01:20:23,760 --> 01:20:26,120 Speaker 1: we really really appreciate your time. Thank you so much 1391 01:20:26,120 --> 01:20:32,800 Speaker 1: for joining Counterpoints. Thank you absolutely. Hey everyone, this is 1392 01:20:32,880 --> 01:20:35,760 Speaker 1: Ken Clippension with Breaking Points, the Intercept edition. I'm joined 1393 01:20:35,800 --> 01:20:39,200 Speaker 1: today by Khaleid l Jabri, an expert on Sadi Arabia. 1394 01:20:39,400 --> 01:20:42,240 Speaker 1: He has been spitting truth on this subject for a 1395 01:20:42,400 --> 01:20:45,960 Speaker 1: number of years now, realities that you don't often hear 1396 01:20:46,120 --> 01:20:52,960 Speaker 1: from the Washington media that in reality is a wash 1397 01:20:53,080 --> 01:20:55,800 Speaker 1: in Saudi money and Saudi influence. This guy doesn't care 1398 01:20:55,800 --> 01:20:57,519 Speaker 1: about any of that he tells you how it is. 1399 01:20:58,360 --> 01:21:01,400 Speaker 1: And the reason he knows so much, in part is 1400 01:21:01,479 --> 01:21:05,000 Speaker 1: because you know, he is himself from Saudi Arabia. His 1401 01:21:05,160 --> 01:21:08,759 Speaker 1: father is the former intelligence chief, and he's a medical 1402 01:21:08,800 --> 01:21:10,880 Speaker 1: doctor by trade. I think that's part of why he's 1403 01:21:10,880 --> 01:21:13,000 Speaker 1: able to be so candid about these things. He doesn't 1404 01:21:13,040 --> 01:21:16,360 Speaker 1: depend on the think tank circuit for money. But I'm 1405 01:21:16,400 --> 01:21:19,640 Speaker 1: having him here today to talk about the nature of 1406 01:21:19,800 --> 01:21:22,320 Speaker 1: the US Saudi relationship. If you guys can play a 1407 01:21:22,439 --> 01:21:26,240 Speaker 1: video right now of a Saudi prince that I caught 1408 01:21:26,280 --> 01:21:28,240 Speaker 1: wind of the other day, I think it'll give you 1409 01:21:28,320 --> 01:21:31,080 Speaker 1: a sense of where the relationship is at right now. 1410 01:21:31,760 --> 01:21:38,759 Speaker 1: Anybody the challenges the existence of this country and this kingdom, 1411 01:21:40,200 --> 01:21:46,800 Speaker 1: all of us. We are projects off you had and martyrdom. 1412 01:21:47,640 --> 01:21:51,200 Speaker 1: That's my message to anybody that thinks that he can 1413 01:21:51,280 --> 01:21:54,880 Speaker 1: threaten us. All right, Colly, thanks for joining us. Can 1414 01:21:54,920 --> 01:21:56,920 Speaker 1: you explain to everyone who was that in the video 1415 01:21:57,000 --> 01:21:58,960 Speaker 1: we just saw what is the significance of what he said? 1416 01:21:59,200 --> 01:22:01,960 Speaker 1: So thanks for having me. Just the fact he is 1417 01:22:02,040 --> 01:22:04,720 Speaker 1: a prince in terms of being a leader of a 1418 01:22:04,800 --> 01:22:08,200 Speaker 1: tribe that historically ruled the northwestern part of Saudi Arabia. 1419 01:22:08,280 --> 01:22:11,479 Speaker 1: Before you know, the founding king, King Gable, as he's 1420 01:22:11,479 --> 01:22:14,559 Speaker 1: founded the kingdom, so he's not in line for the throne, 1421 01:22:14,640 --> 01:22:17,240 Speaker 1: but he is related by blood and marriage to the 1422 01:22:17,280 --> 01:22:22,080 Speaker 1: current ruling family. But that's beside the points. For him 1423 01:22:22,160 --> 01:22:24,800 Speaker 1: to have the audacity to issue these threats in the 1424 01:22:24,920 --> 01:22:27,479 Speaker 1: context of a police state in Saudi Arabia where people 1425 01:22:27,600 --> 01:22:30,560 Speaker 1: are being locked up for mild tweets is indicative and 1426 01:22:30,640 --> 01:22:34,200 Speaker 1: symptomatic of the rock bottom that the US Saudi relationships 1427 01:22:34,560 --> 01:22:37,920 Speaker 1: has hit. For him to say that, it means only 1428 01:22:37,960 --> 01:22:40,760 Speaker 1: two things. Either he felt comfortable saying it and feared 1429 01:22:40,800 --> 01:22:43,880 Speaker 1: no repercussions or reprisals, or there might have been an 1430 01:22:43,920 --> 01:22:47,759 Speaker 1: element of endorsement for that kind of messaging that, honestly, 1431 01:22:47,880 --> 01:22:51,839 Speaker 1: as I scroll through Saudi social media, is kind of consistent. 1432 01:22:51,960 --> 01:22:54,799 Speaker 1: Top down. Yeah, that's a really important context to understand. 1433 01:22:54,840 --> 01:22:56,560 Speaker 1: This isn't like in the United States, where it's just 1434 01:22:56,600 --> 01:22:59,920 Speaker 1: some guy you know, is on the freeway filming himself 1435 01:23:00,280 --> 01:23:03,400 Speaker 1: in his car doing some tirade about you know, whatever 1436 01:23:03,479 --> 01:23:07,000 Speaker 1: it is. This is a totalitarian regime that not only 1437 01:23:07,560 --> 01:23:10,200 Speaker 1: has punished people very harshly for speech, but is doing 1438 01:23:10,280 --> 01:23:12,920 Speaker 1: so right now. And just yesterday there was a case 1439 01:23:12,920 --> 01:23:16,720 Speaker 1: of a US citizen from Florida who I believe was 1440 01:23:16,760 --> 01:23:20,160 Speaker 1: detained in the Saudi airport when he went back to Saturabia. 1441 01:23:20,360 --> 01:23:22,960 Speaker 1: He's a dual citizen visiting his family. Can you talk 1442 01:23:22,960 --> 01:23:24,479 Speaker 1: about that a little bit and what that says about 1443 01:23:24,520 --> 01:23:26,080 Speaker 1: what we were just talking. Yeah, so side of the model, 1444 01:23:26,080 --> 01:23:28,439 Speaker 1: he's a sending two year old American Saudi who lives 1445 01:23:28,479 --> 01:23:32,120 Speaker 1: in Florida, and he returned to the Kingdom November twenty one, 1446 01:23:32,640 --> 01:23:35,040 Speaker 1: and only on October third, so a couple of weeks ago, 1447 01:23:35,200 --> 01:23:39,120 Speaker 1: was sentenced to sixteen years in prison for tweeting. And 1448 01:23:39,439 --> 01:23:41,519 Speaker 1: I went through his Twitter account yesterday. You know, there 1449 01:23:41,520 --> 01:23:44,120 Speaker 1: were mild tweets. I really don't know why he was sentenced, 1450 01:23:44,160 --> 01:23:46,680 Speaker 1: and there are some mild critique of the Yemen war, 1451 01:23:47,120 --> 01:23:49,880 Speaker 1: which would have been interpreted as basically going against the 1452 01:23:49,960 --> 01:23:53,200 Speaker 1: Crown Prince Mohammad Vincelman. But what's really troubling is the 1453 01:23:53,320 --> 01:23:57,160 Speaker 1: timing of that sentences. And basically they're happening after the 1454 01:23:57,360 --> 01:23:59,840 Speaker 1: Biden m BS fist bump, which tells us that that 1455 01:24:00,120 --> 01:24:05,240 Speaker 1: trip failed and MBS after receiving Biden and Jeddah is 1456 01:24:05,360 --> 01:24:07,880 Speaker 1: totally unhinged. Something I'm hearing from a lot of people 1457 01:24:07,880 --> 01:24:09,880 Speaker 1: in the human rights community is that after that meeting, 1458 01:24:10,160 --> 01:24:12,799 Speaker 1: there was a sea change in terms of how Muhammad 1459 01:24:12,840 --> 01:24:16,360 Speaker 1: been someone in the Saudi government treated not just dissidents, 1460 01:24:16,720 --> 01:24:21,280 Speaker 1: but even again Americans in prison, you know, essentially hostage situations, 1461 01:24:21,479 --> 01:24:24,000 Speaker 1: and that there was a shift towards him acting as 1462 01:24:24,040 --> 01:24:26,479 Speaker 1: though the senses that he's getting a green light from 1463 01:24:26,560 --> 01:24:27,880 Speaker 1: Washington to go ahead and do these things. Is that 1464 01:24:27,880 --> 01:24:29,560 Speaker 1: the impression you've gotten as well. Yeah, and this is 1465 01:24:29,560 --> 01:24:32,519 Speaker 1: supported by facts. So, like I think President Biden was 1466 01:24:32,680 --> 01:24:36,080 Speaker 1: right to acknowledge the presence of Saudi American hostages in 1467 01:24:36,200 --> 01:24:40,240 Speaker 1: his op ed before the trip, he promised and pledged 1468 01:24:40,280 --> 01:24:42,920 Speaker 1: to free them and remove the remaining restrictions on their 1469 01:24:42,960 --> 01:24:44,679 Speaker 1: travel and to bring them home to the United States. 1470 01:24:45,120 --> 01:24:48,959 Speaker 1: But since that trip, NBS has taken more American hostages 1471 01:24:49,439 --> 01:24:51,960 Speaker 1: and it's not working. And if you are MBS sitting 1472 01:24:51,960 --> 01:24:55,000 Speaker 1: in a room right now, and despite all your misbehaviors, 1473 01:24:55,439 --> 01:24:59,720 Speaker 1: you're not receiving any consequences. You're basically being rewarded with 1474 01:25:00,120 --> 01:25:03,559 Speaker 1: the prestige of the presidential visit by by President Biden 1475 01:25:03,560 --> 01:25:06,759 Speaker 1: and fist bumps. You have zero incentives to change your behavior. 1476 01:25:06,800 --> 01:25:10,360 Speaker 1: If anything, that reinforces your bad behavior. And so maybe 1477 01:25:10,400 --> 01:25:11,880 Speaker 1: that's how we get to a situation where we have 1478 01:25:11,960 --> 01:25:15,320 Speaker 1: a Saudi prince saying that we are what was it 1479 01:25:15,400 --> 01:25:19,240 Speaker 1: projects of Jiha in English? Which is a very interesting 1480 01:25:19,360 --> 01:25:22,040 Speaker 1: choice French in French that you choose to say this 1481 01:25:22,200 --> 01:25:25,280 Speaker 1: in these Western languages, Like, what is the significance of that, 1482 01:25:25,280 --> 01:25:27,160 Speaker 1: because again you're saying, he's to be clear, he's not 1483 01:25:27,600 --> 01:25:29,840 Speaker 1: an official, he's not in a line of succession. That said, 1484 01:25:30,160 --> 01:25:32,560 Speaker 1: he is a grandson of the founding king, he's a 1485 01:25:32,600 --> 01:25:35,439 Speaker 1: cousin of Mohammed Binsman, the de facto a ruler right now. 1486 01:25:35,840 --> 01:25:38,360 Speaker 1: So what does that say about where we're at with 1487 01:25:38,479 --> 01:25:41,439 Speaker 1: this country? That, as you said before, Biden said, you know, 1488 01:25:41,479 --> 01:25:43,320 Speaker 1: we're going to meet with him. I'm gonna you know, 1489 01:25:44,320 --> 01:25:47,519 Speaker 1: And that's very valuable to somebody like MBS, who's still 1490 01:25:47,520 --> 01:25:49,320 Speaker 1: trying to shore up his authority. He's not yet king 1491 01:25:49,600 --> 01:25:51,720 Speaker 1: to have the American president meet with you. What does 1492 01:25:51,760 --> 01:25:55,000 Speaker 1: that say about what that meeting accomplished? It basically failed 1493 01:25:55,040 --> 01:25:59,439 Speaker 1: on blood with an accelerated repression campaign by MBS, including 1494 01:25:59,479 --> 01:26:01,800 Speaker 1: against more American citizen, and it failed on oil with 1495 01:26:02,000 --> 01:26:04,400 Speaker 1: what we just saw recently. I think one of the 1496 01:26:04,960 --> 01:26:07,639 Speaker 1: reasoning internationale behind that visit is to try and relieve 1497 01:26:08,520 --> 01:26:10,880 Speaker 1: you know, Americans at the gas bump on the short 1498 01:26:10,960 --> 01:26:13,000 Speaker 1: term and their long term, to try and squeeze putin 1499 01:26:13,040 --> 01:26:16,640 Speaker 1: in Russia. And I think both objectives fail miserably. And 1500 01:26:16,880 --> 01:26:19,120 Speaker 1: again there's a lot of debate before the visit, well 1501 01:26:19,280 --> 01:26:22,120 Speaker 1: do we does realism prevail over values? And I think 1502 01:26:22,200 --> 01:26:25,040 Speaker 1: it failed on both. And you see this term in DC, 1503 01:26:25,200 --> 01:26:28,160 Speaker 1: and I studied international relations as well, but real potique 1504 01:26:28,240 --> 01:26:31,519 Speaker 1: is not just a term thrown around to justify an 1505 01:26:31,600 --> 01:26:35,160 Speaker 1: amoral foreign policy, especially in the absence of any real wins. 1506 01:26:35,920 --> 01:26:38,479 Speaker 1: And I think, you know, now we have a lot 1507 01:26:38,520 --> 01:26:41,240 Speaker 1: of people thought that the trip was not going to 1508 01:26:41,320 --> 01:26:44,000 Speaker 1: be successful. I actually wrote an opad despite the plight 1509 01:26:44,120 --> 01:26:45,960 Speaker 1: that me and my family are facing, and I urged 1510 01:26:46,000 --> 01:26:48,120 Speaker 1: Biden to fix the relationship. You please talk about that 1511 01:26:48,160 --> 01:26:49,720 Speaker 1: a little bit. Yeah, so, a lot of like you know, 1512 01:26:49,920 --> 01:26:53,160 Speaker 1: I'd like to create a clear differentiation between the insulated 1513 01:26:53,240 --> 01:26:57,240 Speaker 1: ruling family and the Saudi public. I speak for myself, 1514 01:26:57,320 --> 01:26:58,760 Speaker 1: for a lot of Saudi exiles and for a lot 1515 01:26:58,760 --> 01:27:01,400 Speaker 1: of Saudi's insights out your rape. Yeah, we are proponents 1516 01:27:01,439 --> 01:27:04,080 Speaker 1: of a healthy US Saudi relationship. And this is why 1517 01:27:04,560 --> 01:27:06,800 Speaker 1: I urged President Biden to fix it, because as the 1518 01:27:06,800 --> 01:27:10,360 Speaker 1: adult in the room, you can't abdicate the future of 1519 01:27:10,439 --> 01:27:14,200 Speaker 1: the US Satty relationship to a vindictive, you know, volatile psychopath. 1520 01:27:14,280 --> 01:27:16,960 Speaker 1: It's only gonna, you know, go down downhill from there. 1521 01:27:17,479 --> 01:27:20,840 Speaker 1: And I urge President Biden to fix your relationship, albeit 1522 01:27:21,000 --> 01:27:25,760 Speaker 1: with conditions and demands of Sadiy reciprocity, and that didn't happen. Unfortunately, 1523 01:27:26,240 --> 01:27:29,000 Speaker 1: the trip was lopsided. It was one way concessions and 1524 01:27:29,080 --> 01:27:33,040 Speaker 1: that only in bolden MBS to pursue more domestic and 1525 01:27:33,120 --> 01:27:36,320 Speaker 1: transnational oppression, but also reckless foreign policy. And you can 1526 01:27:36,439 --> 01:27:41,040 Speaker 1: argue that President Biden's policy towards Saudi Arabia has undermined 1527 01:27:41,120 --> 01:27:44,280 Speaker 1: his policy in Ukraine and his policy to kind of 1528 01:27:44,479 --> 01:27:48,360 Speaker 1: curb inflation at home as well. Yeah. So the interesting 1529 01:27:48,560 --> 01:27:50,439 Speaker 1: mccualague is, unlike a lot of folks in ourtion, he's 1530 01:27:50,439 --> 01:27:54,639 Speaker 1: a pretty humble guy, and so he doesn't always talk 1531 01:27:54,680 --> 01:27:58,080 Speaker 1: about the kind of extensive education and training that he's 1532 01:27:58,080 --> 01:28:02,599 Speaker 1: had in international relations. So, you know, having that background, 1533 01:28:03,120 --> 01:28:05,799 Speaker 1: what can you tell us about the shift by Satura 1534 01:28:05,800 --> 01:28:08,840 Speaker 1: Abia towards a closer relationship with the Russians. How that 1535 01:28:08,960 --> 01:28:11,439 Speaker 1: relates to NBS and what do you think of Biden 1536 01:28:11,479 --> 01:28:14,840 Speaker 1: administration can do about that? Yeah, so I remember back 1537 01:28:14,920 --> 01:28:17,599 Speaker 1: in March, I had the pleasure of co authoring at 1538 01:28:17,640 --> 01:28:21,240 Speaker 1: Peace in one of the magazines and Foreign Policy, and 1539 01:28:21,760 --> 01:28:24,680 Speaker 1: basically the whole theme was Biden should be tough on 1540 01:28:24,840 --> 01:28:28,000 Speaker 1: NBS for siding with Russia. And yes, this is not 1541 01:28:28,080 --> 01:28:31,080 Speaker 1: written in a contract, but historically the arrangement between Saudi 1542 01:28:31,080 --> 01:28:34,920 Speaker 1: Arabia and the United States was the US would protect 1543 01:28:34,960 --> 01:28:38,479 Speaker 1: Saudi Arabia, including oil facilities, and in return, Saudi Arabia 1544 01:28:38,520 --> 01:28:41,400 Speaker 1: would manipulate its oil policy to be aligned with US 1545 01:28:41,439 --> 01:28:45,160 Speaker 1: interest And that has lasted more than seven seven decades 1546 01:28:45,240 --> 01:28:49,679 Speaker 1: right now, and I think right now NBS no longer 1547 01:28:49,760 --> 01:28:53,320 Speaker 1: believes that the US is actually, you know, protecting Sata Arabia, 1548 01:28:53,320 --> 01:28:56,479 Speaker 1: which is not true, but that's understood on his part, 1549 01:28:56,560 --> 01:28:59,439 Speaker 1: and this is why he stopped, you know, basically paying 1550 01:28:59,479 --> 01:29:02,920 Speaker 1: his end of the bargain. And it's really you know, 1551 01:29:03,080 --> 01:29:05,880 Speaker 1: for Saudi Arabia, the threat this is one of the 1552 01:29:06,080 --> 01:29:09,400 Speaker 1: kind of outdated expired arguments in DC that no longer 1553 01:29:09,439 --> 01:29:12,080 Speaker 1: holds any water, which is we need to be nice 1554 01:29:12,080 --> 01:29:15,360 Speaker 1: to Saudi Arabia so they don't go to Russia and China. Well, 1555 01:29:15,520 --> 01:29:19,160 Speaker 1: guess what nobody on his sane mind would be betting 1556 01:29:19,240 --> 01:29:22,240 Speaker 1: on Russia today. I mean, which can't handle a small 1557 01:29:22,320 --> 01:29:25,280 Speaker 1: government neck on its border. That they've poured all of 1558 01:29:25,400 --> 01:29:30,240 Speaker 1: these resources and probably decades of intelligence that they've been developing. Absolutely, 1559 01:29:30,280 --> 01:29:32,439 Speaker 1: and there are multiple reasons we'll take them simply. So 1560 01:29:32,560 --> 01:29:36,240 Speaker 1: first of all, it takes time and money to change 1561 01:29:36,439 --> 01:29:39,240 Speaker 1: your military that is dependent on us, AND's a secially 1562 01:29:39,240 --> 01:29:41,519 Speaker 1: important point. You talk to military officers, what they tell you. 1563 01:29:41,720 --> 01:29:43,960 Speaker 1: They give you a much different picture than the arguments, 1564 01:29:44,000 --> 01:29:45,920 Speaker 1: than the excuses. Frankly, that you're here in Washington, abou 1565 01:29:45,960 --> 01:29:47,880 Speaker 1: why we need to tolerate what MBS is doing. Oh 1566 01:29:47,920 --> 01:29:49,400 Speaker 1: we might switch to the Russians, Oh we might switch 1567 01:29:49,400 --> 01:29:51,280 Speaker 1: to the Chinese. Talk to any military officers, they say, 1568 01:29:51,400 --> 01:29:54,160 Speaker 1: that's a decades long project, and then you end up 1569 01:29:54,200 --> 01:29:58,000 Speaker 1: getting worse weapons systems because the Americans have our superior ones. Absolutely, 1570 01:29:58,200 --> 01:29:59,559 Speaker 1: but I imagine this like I'm just going to try 1571 01:29:59,600 --> 01:30:03,280 Speaker 1: to simplif so, Sadi Arabia is grievances with the Biden administration, 1572 01:30:03,439 --> 01:30:06,960 Speaker 1: and honestly, in Trump and and Obama is that you're 1573 01:30:07,080 --> 01:30:09,280 Speaker 1: not doing enough to protect us from Iran. So let's 1574 01:30:09,360 --> 01:30:11,360 Speaker 1: establish one things. Sadi Arabia is afraid of Iran, and 1575 01:30:11,400 --> 01:30:13,680 Speaker 1: Iran is a very bad actor in that region. So 1576 01:30:13,960 --> 01:30:18,160 Speaker 1: because you're not confident in US protection against Iran, you 1577 01:30:18,280 --> 01:30:21,600 Speaker 1: want to pivot to two countries, Russia and China that 1578 01:30:21,720 --> 01:30:26,040 Speaker 1: are actively in bed with Iran. I mean that's prezologic. 1579 01:30:26,120 --> 01:30:28,120 Speaker 1: Like I tried to do so many mental summer assaults 1580 01:30:28,120 --> 01:30:30,160 Speaker 1: and I can't even get it. And actually right now, 1581 01:30:30,400 --> 01:30:33,120 Speaker 1: like imagine Saudi pivoting to Russia to protect it from 1582 01:30:33,200 --> 01:30:37,600 Speaker 1: Iran while Iran is supplying Russia with like drones for 1583 01:30:37,720 --> 01:30:40,760 Speaker 1: their hostile affects on Ukraine. It's just a bluff and 1584 01:30:40,880 --> 01:30:45,000 Speaker 1: it needs to be called. Yeah, I mean in some sense, 1585 01:30:45,040 --> 01:30:47,439 Speaker 1: it's not leverage that should be considered by a Saudis. 1586 01:30:47,760 --> 01:30:50,960 Speaker 1: I think nbs is now has a track record of 1587 01:30:51,080 --> 01:30:55,800 Speaker 1: pursuing dumb policies that would boomerang heur the kingdom. So like, yeah, 1588 01:30:55,840 --> 01:30:58,800 Speaker 1: he would probably pursue Chinese and Russian weapons, but that's 1589 01:30:58,880 --> 01:31:01,280 Speaker 1: not going to be uh, but for his benefits or 1590 01:31:01,320 --> 01:31:04,280 Speaker 1: for Saudi Arabia's benefit. I mean it's almost like trying 1591 01:31:04,360 --> 01:31:07,840 Speaker 1: to scratch the United States face by bringing yourself down 1592 01:31:07,880 --> 01:31:11,200 Speaker 1: to the knees, right, right. It's an important point because 1593 01:31:11,920 --> 01:31:13,599 Speaker 1: again people look at this, they say oil, we need 1594 01:31:13,640 --> 01:31:15,160 Speaker 1: this oil. It's gonna be off the markets. The Russians 1595 01:31:15,200 --> 01:31:16,680 Speaker 1: and the Chinese are gonna get it. And it's like 1596 01:31:16,760 --> 01:31:19,799 Speaker 1: there's very little candor or even you know, just honesty 1597 01:31:19,920 --> 01:31:22,280 Speaker 1: generally about how much leverage we have as the United States. 1598 01:31:22,320 --> 01:31:26,720 Speaker 1: We're at the global superpower militarily economically, to to to 1599 01:31:27,040 --> 01:31:30,880 Speaker 1: to see the same guys that throw their weight around 1600 01:31:31,040 --> 01:31:34,439 Speaker 1: in the UN Security Council and you know, just dictate 1601 01:31:34,479 --> 01:31:35,760 Speaker 1: how things have to go and then suddenly, oh what 1602 01:31:35,840 --> 01:31:38,280 Speaker 1: can we do. Yeah, NBS he's got he's gonna you know, 1603 01:31:38,360 --> 01:31:41,800 Speaker 1: he's he's there, he goes again, We've got just so 1604 01:31:41,880 --> 01:31:43,960 Speaker 1: nobody should be surprised, you know today, Like I mean 1605 01:31:44,000 --> 01:31:46,760 Speaker 1: in twenty fifteen, yes, NBS was an unknown commodity, was 1606 01:31:46,800 --> 01:31:49,240 Speaker 1: news to the seeing people were still the verdict wasn't out. 1607 01:31:49,320 --> 01:31:51,920 Speaker 1: But for the Biden administration, they have now the benefit 1608 01:31:51,960 --> 01:31:55,280 Speaker 1: of hindsight, seven years of witnessing blunder after blunder by 1609 01:31:55,360 --> 01:31:57,880 Speaker 1: NBS and also knowing what exactly works with him and 1610 01:31:58,000 --> 01:32:01,040 Speaker 1: what doesn't work. He all talk about Trump administration because 1611 01:32:01,040 --> 01:32:03,559 Speaker 1: that's such an important point and how he was able 1612 01:32:03,600 --> 01:32:06,120 Speaker 1: to manage your relationship. So there are multiple examples and 1613 01:32:06,240 --> 01:32:09,479 Speaker 1: presidents and facts to show that NBS only understands language 1614 01:32:09,479 --> 01:32:13,800 Speaker 1: of power appeasement, including fist bumps and presential visit would 1615 01:32:14,040 --> 01:32:17,720 Speaker 1: only embolden him and verify his delusional sense of superiority 1616 01:32:18,040 --> 01:32:20,639 Speaker 1: in this relation. Has shown to have done that. Yeah, absolutely, 1617 01:32:21,120 --> 01:32:23,880 Speaker 1: but like a bit of different context. But like in 1618 01:32:24,000 --> 01:32:27,479 Speaker 1: April twenty twenty, NBS basically raised an oil price war 1619 01:32:28,080 --> 01:32:31,400 Speaker 1: that hurt American shale gas producers and you can recall 1620 01:32:31,400 --> 01:32:34,920 Speaker 1: a future contracts when even like sub zero. And what 1621 01:32:35,960 --> 01:32:39,000 Speaker 1: the sitting US president at that time did is he 1622 01:32:39,160 --> 01:32:42,200 Speaker 1: decided to act as the senior partner in this relationship 1623 01:32:42,720 --> 01:32:45,880 Speaker 1: and exercise US leverage so he didn't need to take 1624 01:32:45,920 --> 01:32:47,760 Speaker 1: a plant to Jed done fist bump and BS. He 1625 01:32:47,800 --> 01:32:50,439 Speaker 1: picked up the phone and literally said I'm not going 1626 01:32:50,560 --> 01:32:53,400 Speaker 1: to be able to stop Congress from going after you, 1627 01:32:53,520 --> 01:32:57,280 Speaker 1: and he threatened cutting you know, arm support. What did 1628 01:32:57,320 --> 01:32:59,360 Speaker 1: they say they were going to pull the US military out? Yes, 1629 01:32:59,439 --> 01:33:02,720 Speaker 1: nobody said, simple listen, you're hurting the US with your 1630 01:33:02,760 --> 01:33:06,240 Speaker 1: oil policy. Same exactly what's happening today. I'm going to 1631 01:33:06,320 --> 01:33:08,880 Speaker 1: cut military support. And you know what happened, And I 1632 01:33:09,000 --> 01:33:11,640 Speaker 1: remember that because it was an official Saudi you know, 1633 01:33:11,680 --> 01:33:15,479 Speaker 1: press release right after that call, and it says, Saudi Arabia, 1634 01:33:15,880 --> 01:33:19,080 Speaker 1: in response to the request of the US President, the 1635 01:33:19,160 --> 01:33:23,160 Speaker 1: President and our colleagues and our friends in Congress, we 1636 01:33:23,280 --> 01:33:25,760 Speaker 1: are calling for an Open Plus meeting. They did that, 1637 01:33:26,040 --> 01:33:30,719 Speaker 1: and Opicplus made the biggest swing in its production outputs 1638 01:33:30,760 --> 01:33:34,400 Speaker 1: in history. They cut production by ten barrels and to help, 1639 01:33:34,479 --> 01:33:38,320 Speaker 1: you know, lift services. So totally complied with what President Trump, 1640 01:33:38,760 --> 01:33:40,640 Speaker 1: I guess asked is maybe a light word what he 1641 01:33:40,960 --> 01:33:43,400 Speaker 1: mandated that they do. The reporting on that phone call 1642 01:33:43,479 --> 01:33:46,200 Speaker 1: was funny. It says that it was an ultimatum and 1643 01:33:46,320 --> 01:33:48,160 Speaker 1: MBS was so embarrassed that you had to kick out 1644 01:33:48,200 --> 01:33:52,160 Speaker 1: his advisors from the room because the city US president 1645 01:33:52,400 --> 01:33:54,240 Speaker 1: was tough and exercised his leverage. And that's how you 1646 01:33:54,280 --> 01:33:56,759 Speaker 1: deal with the bully. And you know, honestly credited President 1647 01:33:56,800 --> 01:33:59,840 Speaker 1: Trump for doing that, not someone that I'm often giving 1648 01:34:00,200 --> 01:34:01,800 Speaker 1: it too. But I think he had the idea right 1649 01:34:01,840 --> 01:34:03,960 Speaker 1: in the nature of how you're going to execute that relationship. 1650 01:34:04,120 --> 01:34:06,320 Speaker 1: I'm not in a place of giving political endorsements. But 1651 01:34:06,400 --> 01:34:08,320 Speaker 1: when it comes to dealing with NBS, I think that's 1652 01:34:08,360 --> 01:34:11,200 Speaker 1: the way to go forward the US. It's high time 1653 01:34:11,240 --> 01:34:15,000 Speaker 1: that the Biden administration start acting like the senior partner 1654 01:34:15,040 --> 01:34:20,799 Speaker 1: in this relationship, reasserts US leverage and basically make demands 1655 01:34:20,840 --> 01:34:23,760 Speaker 1: and ultimatums. It's, you know, like I'm trying to let 1656 01:34:23,840 --> 01:34:27,720 Speaker 1: him simplify it. The Biden administration should not allow itself 1657 01:34:27,960 --> 01:34:31,280 Speaker 1: to figuratively and literally be held over a Saudi oil 1658 01:34:31,400 --> 01:34:35,240 Speaker 1: barrel that is still dependent on US protection. And by 1659 01:34:35,280 --> 01:34:38,720 Speaker 1: the way, US security guarantees include guarantees of oil facilities. 1660 01:34:39,120 --> 01:34:42,760 Speaker 1: There's an example where in twenty nineteen, Ireon attacked a 1661 01:34:42,840 --> 01:34:44,760 Speaker 1: gig which is one of the biggest refineries in the world. 1662 01:34:45,280 --> 01:34:47,519 Speaker 1: And if you can't protect your oil facilities, you're not 1663 01:34:47,640 --> 01:34:49,920 Speaker 1: even going to have oil to ship and produce, and 1664 01:34:49,960 --> 01:34:53,000 Speaker 1: that would hurt your revenues. What did they do? Like 1665 01:34:53,160 --> 01:34:56,320 Speaker 1: second day and Bs's brother who's now the Administry of Defense, 1666 01:34:56,400 --> 01:35:00,400 Speaker 1: flew to DC and asked for more patriot batteries. The way, 1667 01:35:00,720 --> 01:35:04,120 Speaker 1: there's an interesting you know story here. President Trump didn't 1668 01:35:04,120 --> 01:35:06,040 Speaker 1: care about human rights. There was no retrick. He didn't 1669 01:35:06,040 --> 01:35:08,040 Speaker 1: even pretend to care about human rights. Yeah, but with 1670 01:35:08,240 --> 01:35:12,519 Speaker 1: that request for more additional military support, he included the 1671 01:35:12,640 --> 01:35:16,200 Speaker 1: release of a Saudi US citizen in Saudi Arabia, and 1672 01:35:16,280 --> 01:35:20,240 Speaker 1: he was released as part of that transaction. Wow. So 1673 01:35:20,400 --> 01:35:22,519 Speaker 1: not only getting the old production you wanted, but getting 1674 01:35:23,120 --> 01:35:26,280 Speaker 1: a more favorable disposition with regards to human rights issues 1675 01:35:26,320 --> 01:35:29,760 Speaker 1: by flexing that muscle that we have that you know, 1676 01:35:29,840 --> 01:35:31,920 Speaker 1: by the way, this is a unique situation in which 1677 01:35:31,960 --> 01:35:35,080 Speaker 1: this country depends on US for billions and weapons support 1678 01:35:35,160 --> 01:35:37,360 Speaker 1: to defend themselves against the Huthis and the Iranians and 1679 01:35:37,360 --> 01:35:38,920 Speaker 1: so on and so forth. That's a kind of leverage 1680 01:35:38,960 --> 01:35:40,439 Speaker 1: that means you don't have to go to war. We 1681 01:35:40,520 --> 01:35:44,200 Speaker 1: don't have to invade Iraq or invade Afghanistan to change 1682 01:35:44,240 --> 01:35:46,920 Speaker 1: their policy. You just need to withdraw what you're giving them. Yeah. 1683 01:35:46,960 --> 01:35:50,080 Speaker 1: And it's pretty interesting because with MBS, he is simultaneously 1684 01:35:50,160 --> 01:35:53,000 Speaker 1: the perpetrator of egregious human rights violations and also the 1685 01:35:53,120 --> 01:35:56,880 Speaker 1: orchestrator of disastrous foreign policy that has hurt in the 1686 01:35:56,960 --> 01:35:59,439 Speaker 1: US interest regionally. And what we just saw with the 1687 01:35:59,479 --> 01:36:01,759 Speaker 1: OPI plus, so to expect him all of a sudden 1688 01:36:02,000 --> 01:36:06,560 Speaker 1: to mature on foreign policy, but remain the authoritarian he 1689 01:36:06,800 --> 01:36:09,960 Speaker 1: is on egregious human much. It is just like wishful 1690 01:36:10,040 --> 01:36:12,880 Speaker 1: naivitated to be honest, and that's why it's so intertwined, 1691 01:36:13,280 --> 01:36:17,080 Speaker 1: and you need to combine realism with defending values at 1692 01:36:17,080 --> 01:36:19,200 Speaker 1: the same time. So this seems like a good place 1693 01:36:19,240 --> 01:36:23,760 Speaker 1: to close on. What's your sense of how the administration 1694 01:36:24,200 --> 01:36:26,320 Speaker 1: is going to respond to this and how rational will 1695 01:36:26,320 --> 01:36:28,920 Speaker 1: be because we are seeing a fairly impresiated response to 1696 01:36:28,960 --> 01:36:31,000 Speaker 1: the part of Congress. But my impression of the course 1697 01:36:31,000 --> 01:36:32,880 Speaker 1: of my reporting is that there's a split between the 1698 01:36:32,960 --> 01:36:37,360 Speaker 1: Congress and the White House. These oil production cuts having 1699 01:36:37,400 --> 01:36:39,040 Speaker 1: the effect that they do on economies. You know, we're 1700 01:36:39,080 --> 01:36:41,040 Speaker 1: foss field economy that depends on it for all sorts 1701 01:36:41,040 --> 01:36:44,960 Speaker 1: of things is much more complicated than just the gas prices. 1702 01:36:45,360 --> 01:36:47,439 Speaker 1: I think that frontline members in Congress that are facing 1703 01:36:47,439 --> 01:36:48,800 Speaker 1: a re election are very worried about it and have 1704 01:36:48,880 --> 01:36:50,800 Speaker 1: the sense that the White House doesn't have that same 1705 01:36:51,640 --> 01:36:53,640 Speaker 1: sense of urgency that they think is necessary. So how 1706 01:36:53,640 --> 01:36:55,240 Speaker 1: do you think the White House and National security counts 1707 01:36:55,240 --> 01:36:57,320 Speaker 1: are going to respond to all this? Oh, I mean, 1708 01:36:57,479 --> 01:37:00,600 Speaker 1: so far, the way they've acted doesn't give me a 1709 01:37:00,640 --> 01:37:03,200 Speaker 1: lot of optimism. I'm afraid, you know, like there are 1710 01:37:03,280 --> 01:37:06,200 Speaker 1: promising consequences. But this is the same ADMIN that during 1711 01:37:06,240 --> 01:37:09,320 Speaker 1: the campaign trail promise to keep sat Arabia or NBS 1712 01:37:09,360 --> 01:37:11,760 Speaker 1: sorry a praya, and then it ended up with a 1713 01:37:11,800 --> 01:37:14,920 Speaker 1: fist bump. So I'm just afraid that the kind of 1714 01:37:15,040 --> 01:37:17,920 Speaker 1: rage right now and the promises of consequences are going 1715 01:37:17,960 --> 01:37:20,000 Speaker 1: to probably end up with a rest slap instead of 1716 01:37:20,040 --> 01:37:23,200 Speaker 1: a fist bump. But it's fine for like Congress and 1717 01:37:23,240 --> 01:37:25,920 Speaker 1: the adamin to have different views, and maybe that is 1718 01:37:25,960 --> 01:37:28,920 Speaker 1: a dynamic that should be exploited. Create a good bad 1719 01:37:28,960 --> 01:37:31,840 Speaker 1: cop scenario. Have Congress go at MBS and then pick 1720 01:37:31,920 --> 01:37:33,720 Speaker 1: up the phone and tell him listen, I'm not going 1721 01:37:33,760 --> 01:37:35,679 Speaker 1: to be able to veto anything that comes out of Congress. 1722 01:37:35,760 --> 01:37:37,200 Speaker 1: I'm not going to be able to protect you from 1723 01:37:37,240 --> 01:37:39,760 Speaker 1: Congress unless you give me something to work with, and 1724 01:37:39,880 --> 01:37:44,360 Speaker 1: that would include concessions on foreign policy and oil policy, 1725 01:37:44,439 --> 01:37:49,400 Speaker 1: but also resolving human rights cases, starting with American citizens 1726 01:37:49,439 --> 01:37:51,639 Speaker 1: that up until you know two weeks ago, are being tortured, 1727 01:37:51,640 --> 01:37:56,000 Speaker 1: done sentenced to draconian sentences in court for tweeting tweets 1728 01:37:56,080 --> 01:38:00,920 Speaker 1: on US soil, non violent tweet, just satire so and 1729 01:38:01,640 --> 01:38:03,600 Speaker 1: you know it can't be stressed enough. We have a 1730 01:38:03,680 --> 01:38:08,080 Speaker 1: proof of concept for how to get MBS to you know, 1731 01:38:08,200 --> 01:38:09,920 Speaker 1: comply with these things in the form of you know 1732 01:38:09,960 --> 01:38:12,680 Speaker 1: what the Trump administration successfully did. So it's not like 1733 01:38:12,760 --> 01:38:14,960 Speaker 1: we're talking about this in the abstract. No, No, there 1734 01:38:15,000 --> 01:38:16,920 Speaker 1: are facts, there are precedents. Just look at what works. 1735 01:38:16,960 --> 01:38:18,960 Speaker 1: It doesn't work at peacement doesn't work. It's time to 1736 01:38:19,160 --> 01:38:21,960 Speaker 1: change the policy. You need to bully in vs into 1737 01:38:21,960 --> 01:38:25,160 Speaker 1: concessions because that's the only language that bullies understand. Good 1738 01:38:25,200 --> 01:38:30,080 Speaker 1: to talk to you, Colley. Likewise, hither My name is 1739 01:38:30,160 --> 01:38:32,719 Speaker 1: James Lee. Welcome to another segment of fifty one forty 1740 01:38:32,800 --> 01:38:35,400 Speaker 1: nine on Breaking Points, where we dive into different topics 1741 01:38:35,439 --> 01:38:38,559 Speaker 1: at the intersection of business, politics and society. And today 1742 01:38:38,600 --> 01:38:42,040 Speaker 1: we're going to talk about central bank digital currencies aka 1743 01:38:42,520 --> 01:38:45,439 Speaker 1: a digital dollar, specifically one that could be issued by 1744 01:38:45,479 --> 01:38:49,920 Speaker 1: the US government. Is the FED working on a digital dollar? 1745 01:38:50,560 --> 01:38:56,040 Speaker 1: We are actually evaluating that most major countries are now 1746 01:38:56,160 --> 01:38:59,720 Speaker 1: looking at the possibility of having a digital currency and 1747 01:38:59,760 --> 01:39:03,160 Speaker 1: really asking the question, in our very modern, advanced economy 1748 01:39:03,240 --> 01:39:07,639 Speaker 1: with a fast, efficient, full blown payment system, would adding 1749 01:39:08,520 --> 01:39:10,960 Speaker 1: a digital currency, a form of digital currency, would it 1750 01:39:11,000 --> 01:39:14,280 Speaker 1: actually benefit the public that we serve that's the question 1751 01:39:14,360 --> 01:39:16,679 Speaker 1: that we're asking. We're working very hard on that. Chairman 1752 01:39:16,760 --> 01:39:18,800 Speaker 1: of the FED, Jerome pal says, the issuance of a 1753 01:39:18,920 --> 01:39:21,400 Speaker 1: central bank digital currency hinges on whether or not it 1754 01:39:21,439 --> 01:39:24,759 Speaker 1: would benefit the public. So let's look into that today, 1755 01:39:24,840 --> 01:39:28,400 Speaker 1: but also let's look into other reasons why the US government, 1756 01:39:28,439 --> 01:39:32,200 Speaker 1: along with many other governments, is seriously exploring the creation 1757 01:39:32,320 --> 01:39:36,040 Speaker 1: and implementation of a central bank digital currency abbreviated CBDC. 1758 01:39:36,640 --> 01:39:38,760 Speaker 1: Now this is just recent news as of last week 1759 01:39:38,800 --> 01:39:42,799 Speaker 1: October twelfth, twenty twenty two, US Treasury Secretary Janet Yellen, 1760 01:39:42,880 --> 01:39:46,080 Speaker 1: in a conversation at the International Monetary Funds Annual Meeting, 1761 01:39:46,240 --> 01:39:49,679 Speaker 1: stress the need for more central bank digital currency work, 1762 01:39:50,080 --> 01:39:53,960 Speaker 1: citing that a CBDC has many advantages and the potential 1763 01:39:54,040 --> 01:39:57,200 Speaker 1: to solve numerous problems. We'll talk about some of those 1764 01:39:57,439 --> 01:40:00,000 Speaker 1: tout advantages in a minute here, but first let's define 1765 01:40:00,000 --> 01:40:05,040 Speaker 1: find what a CBDC is exactly. A central bank digital 1766 01:40:05,120 --> 01:40:09,040 Speaker 1: currency or CBDC is a digital form of a country's 1767 01:40:09,120 --> 01:40:13,320 Speaker 1: currency operated by the central bank. Similar to cash. The 1768 01:40:13,439 --> 01:40:16,599 Speaker 1: central bank would issue its digital currency to allow people 1769 01:40:16,720 --> 01:40:21,479 Speaker 1: to make everyday transactions. Many governments, including the UK, Sweden, 1770 01:40:21,840 --> 01:40:25,800 Speaker 1: Hong Kong, Australia, and the US are all exploring ways 1771 01:40:25,960 --> 01:40:29,720 Speaker 1: digital currency could work. So CBDCs are digital forms of 1772 01:40:29,880 --> 01:40:33,240 Speaker 1: sovereign currencies issued by the central bank, and the concept 1773 01:40:33,320 --> 01:40:36,960 Speaker 1: has been gaining steam all over the world. According to 1774 01:40:37,240 --> 01:40:40,519 Speaker 1: the Atlantic Council, one hundred and nine countries representing about 1775 01:40:40,720 --> 01:40:43,679 Speaker 1: ninety five percent of the world's GDP are currently exploring 1776 01:40:43,720 --> 01:40:47,919 Speaker 1: a CBDC, with some countries in the advanced stages of development, 1777 01:40:48,000 --> 01:40:51,400 Speaker 1: with almost a quarter of those countries having either launched 1778 01:40:51,760 --> 01:40:55,519 Speaker 1: or currently in the pilot phase of development. So this 1779 01:40:55,600 --> 01:40:57,200 Speaker 1: is a big deal, and I think it might be 1780 01:40:57,360 --> 01:41:00,639 Speaker 1: wise of us to explore a potential or perhaps even 1781 01:41:00,760 --> 01:41:04,720 Speaker 1: probable future where most, if not all, transactions are facilitated 1782 01:41:04,840 --> 01:41:14,519 Speaker 1: via a central bank digital currency. Quong Dan just paid 1783 01:41:14,560 --> 01:41:18,160 Speaker 1: with a new type of money at this pharmacy. Oh all, 1784 01:41:18,360 --> 01:41:25,360 Speaker 1: that's because China's paper cash is going digital. The digital 1785 01:41:25,439 --> 01:41:27,519 Speaker 1: you want is meant to be faster than using credit 1786 01:41:27,640 --> 01:41:31,599 Speaker 1: or debit cards on digital wallets like Apple Pay. Plus. 1787 01:41:31,720 --> 01:41:35,160 Speaker 1: There are other incentives like zero transaction fees for merchants, 1788 01:41:35,280 --> 01:41:38,040 Speaker 1: and one day it'll even work offline. So the one 1789 01:41:38,080 --> 01:41:39,639 Speaker 1: thing I need to stress for those of you who 1790 01:41:40,000 --> 01:41:42,200 Speaker 1: may not be super well versed in this topic. Is 1791 01:41:42,280 --> 01:41:46,160 Speaker 1: that proponents of a central bank digital currency, like the 1792 01:41:46,320 --> 01:41:49,640 Speaker 1: Managing Director of the International Monetary Fund the IMF, who 1793 01:41:49,760 --> 01:41:53,280 Speaker 1: recently touted cbdc's as quote the future of money, will 1794 01:41:53,360 --> 01:41:56,960 Speaker 1: often emphasize benefits like the potential to offer consumers a 1795 01:41:57,080 --> 01:42:00,040 Speaker 1: form of digital currency with more resilience, more sale, a 1796 01:42:00,400 --> 01:42:03,720 Speaker 1: greater availability, and lower costs compared to other forms of 1797 01:42:03,800 --> 01:42:08,280 Speaker 1: digital currencies like bitcoin or ethereum, but conveniently will at 1798 01:42:08,320 --> 01:42:11,559 Speaker 1: the same time deemphasize the inherent dangers of a CBDC, 1799 01:42:11,760 --> 01:42:14,800 Speaker 1: like the fact that a government issued digital dollar would 1800 01:42:14,840 --> 01:42:18,400 Speaker 1: come with significant trade offs in regards to personal privacy 1801 01:42:18,479 --> 01:42:21,000 Speaker 1: and trust. The digital you want is meant to be 1802 01:42:21,120 --> 01:42:24,040 Speaker 1: faster than using credit or debit cards on digital wallets 1803 01:42:24,120 --> 01:42:27,000 Speaker 1: like Apple Pay. The one major difference is that the 1804 01:42:27,080 --> 01:42:29,840 Speaker 1: digital you want is one hundred percent trackable by China 1805 01:42:29,960 --> 01:42:33,439 Speaker 1: Central Bank. The central bank will know whose pain, how 1806 01:42:33,520 --> 01:42:36,320 Speaker 1: much they're pain, when they're paying, where they're paying, and 1807 01:42:36,520 --> 01:42:40,080 Speaker 1: then to analyze the patterns of payment. It means that 1808 01:42:40,200 --> 01:42:42,439 Speaker 1: the Chinese government could set up a whole lot of 1809 01:42:42,560 --> 01:42:47,120 Speaker 1: things to have your currency maybe valid or invalid based 1810 01:42:47,160 --> 01:42:50,800 Speaker 1: on its own priorities. This is almost like handing over 1811 01:42:50,880 --> 01:42:54,120 Speaker 1: the keys to your business or to your finance department 1812 01:42:54,200 --> 01:42:57,400 Speaker 1: in some ways, because you really can't control what at 1813 01:42:57,400 --> 01:42:59,920 Speaker 1: the end of the day may happen with the fund 1814 01:43:00,200 --> 01:43:03,519 Speaker 1: that you're holding. Now, I'm not a crypto bro anything 1815 01:43:03,600 --> 01:43:05,640 Speaker 1: like that, so by no means am I here to 1816 01:43:05,760 --> 01:43:08,519 Speaker 1: show for Bitcoin ethereum or any other crypto. And I'm 1817 01:43:08,560 --> 01:43:13,000 Speaker 1: also not under any false pretense that we aren't already 1818 01:43:13,080 --> 01:43:16,360 Speaker 1: being monitored to some degree through other means like smartphones, 1819 01:43:16,400 --> 01:43:21,360 Speaker 1: credit cards, and CCTV cameras by centralized government agencies or 1820 01:43:21,400 --> 01:43:24,599 Speaker 1: corporate entities. But I also do think that it's important 1821 01:43:24,640 --> 01:43:29,439 Speaker 1: to highlight that unlike private cryptocurrencies, which are decentralized by design, 1822 01:43:29,880 --> 01:43:33,800 Speaker 1: a CBDC, like the digital un is very centralized and 1823 01:43:33,960 --> 01:43:37,760 Speaker 1: will by design handover more power to just a few 1824 01:43:37,800 --> 01:43:41,439 Speaker 1: individuals or institutions by giving them the ability to potentially 1825 01:43:41,479 --> 01:43:45,080 Speaker 1: control and socially engineered behavior at a societal level. I 1826 01:43:45,120 --> 01:43:47,719 Speaker 1: don't know about you, but the dystopian social credit score 1827 01:43:47,760 --> 01:43:50,479 Speaker 1: episode from The Black Mirror a few years back comes 1828 01:43:50,520 --> 01:43:53,320 Speaker 1: to mind from me. But of course, the examples we've 1829 01:43:53,360 --> 01:43:57,000 Speaker 1: covered today have been mostly from China and China has 1830 01:43:57,040 --> 01:44:00,720 Speaker 1: a very different culture, both politically and social compared to 1831 01:44:00,760 --> 01:44:04,720 Speaker 1: the US, so this type of control couldn't possibly be 1832 01:44:04,880 --> 01:44:08,760 Speaker 1: implemented in the US, could it. This is reporting from 1833 01:44:08,800 --> 01:44:11,320 Speaker 1: the Hill. In a twenty twenty one question and answer 1834 01:44:11,360 --> 01:44:14,720 Speaker 1: session about the development of a digital dollar, David Anolfado, 1835 01:44:14,880 --> 01:44:17,439 Speaker 1: a senior vice president and economist in the Saint Louis 1836 01:44:17,479 --> 01:44:20,599 Speaker 1: fed's Research Division, was asked whether the FED could quote 1837 01:44:20,640 --> 01:44:24,200 Speaker 1: assure us the public that these digital currencies won't ever 1838 01:44:24,320 --> 01:44:26,880 Speaker 1: be used to tell us when, how or where our 1839 01:44:26,960 --> 01:44:30,559 Speaker 1: money can be spent. He responded, quote, in life, one 1840 01:44:30,720 --> 01:44:34,640 Speaker 1: can't give absolute assurances of anything, before suggesting that the 1841 01:44:34,800 --> 01:44:37,839 Speaker 1: best we can hope for is for Congress to respond 1842 01:44:37,920 --> 01:44:44,080 Speaker 1: to the electorates concerns about privacy. Not exactly reassuring if 1843 01:44:44,160 --> 01:44:46,360 Speaker 1: only we voted harder, everything would be all good kind 1844 01:44:46,400 --> 01:44:48,960 Speaker 1: of answer, And I think this is even more alarming. 1845 01:44:49,120 --> 01:44:52,519 Speaker 1: Just last week October eighteenth, twenty twenty two, Roll Call 1846 01:44:52,640 --> 01:44:55,639 Speaker 1: reported that the FED could potentially issue a digital dollar 1847 01:44:55,760 --> 01:45:01,320 Speaker 1: without congressional legislation. Aaron Klein, a Brookings Incidentitution Senior fellow 1848 01:45:01,439 --> 01:45:04,560 Speaker 1: of economic studies, warned that at one point Chairman of 1849 01:45:04,560 --> 01:45:07,400 Speaker 1: the FED jerom Pala said legislation was needed. He then 1850 01:45:07,520 --> 01:45:10,120 Speaker 1: changes tune to say that the FED wouldn't act first 1851 01:45:10,200 --> 01:45:14,639 Speaker 1: without consulting with Congress and having congressional buy in very different. 1852 01:45:15,360 --> 01:45:19,160 Speaker 1: So it's entirely possible that our surveillance state could expand 1853 01:45:19,280 --> 01:45:23,559 Speaker 1: without any democratic intervention. For early digital Yu Want winners 1854 01:45:23,640 --> 01:45:26,320 Speaker 1: like Kuang, he says the trial went smoothly, and if 1855 01:45:26,360 --> 01:45:30,120 Speaker 1: the currency does go mainstream, he expects the surveillance aspect 1856 01:45:30,160 --> 01:45:46,200 Speaker 1: will matter less to him. The Baiku Teango comp There's 1857 01:45:46,200 --> 01:45:48,320 Speaker 1: an old Swinsu code from the Art of War that 1858 01:45:48,479 --> 01:45:52,200 Speaker 1: goes something like the greatest victory is that which requires 1859 01:45:52,439 --> 01:45:55,360 Speaker 1: no battle. You see what I'm getting at the convenience factor. 1860 01:45:55,439 --> 01:45:59,519 Speaker 1: People don't want to have their privacy invaded, but by 1861 01:45:59,600 --> 01:46:04,360 Speaker 1: creating just the right conditions skyrocketing inflation and economic recession, 1862 01:46:04,560 --> 01:46:09,080 Speaker 1: suppression of labor rights, and widening wealth inequality, people could 1863 01:46:09,160 --> 01:46:13,000 Speaker 1: easily be persuaded to opt into something like a digital currency, 1864 01:46:13,800 --> 01:46:17,960 Speaker 1: voluntarily giving up their financial data to the government just 1865 01:46:18,080 --> 01:46:21,280 Speaker 1: like that. Right. With many people living paycheck to paycheck, 1866 01:46:21,520 --> 01:46:24,439 Speaker 1: just trying to make ends meet, sometimes work in multiple jobs, 1867 01:46:24,920 --> 01:46:28,639 Speaker 1: any extra added bit of convenience in any aspect of life. 1868 01:46:28,720 --> 01:46:32,439 Speaker 1: Sounds like a much needed positive relief. So naturally we 1869 01:46:32,600 --> 01:46:35,559 Speaker 1: may willingly just give up control, give up our privacy, 1870 01:46:35,640 --> 01:46:38,400 Speaker 1: because it might be the only logical choice that we have. 1871 01:46:39,479 --> 01:46:42,560 Speaker 1: So central bank has belatedly admit, oh oh, now that 1872 01:46:42,640 --> 01:46:46,240 Speaker 1: you've mentioned that, yes, banks create the money supply, so 1873 01:46:46,680 --> 01:46:49,800 Speaker 1: let's abolish that now. And also, by the way, let's 1874 01:46:49,840 --> 01:46:53,839 Speaker 1: abolish cash. So what should we do well, introduce digital 1875 01:46:53,920 --> 01:46:58,320 Speaker 1: cybercurrency that central banks issue and control and thereby gained 1876 01:46:58,400 --> 01:47:02,040 Speaker 1: total control over all economic transactions, decisions, and the whole lot. 1877 01:47:02,080 --> 01:47:05,479 Speaker 1: You've just heard from the CEO of the GDI. So 1878 01:47:05,920 --> 01:47:08,439 Speaker 1: the greatest concentration of central banking power in history is 1879 01:47:08,479 --> 01:47:11,920 Speaker 1: really the bid they're aiming at. That's the central bank's goal. 1880 01:47:12,680 --> 01:47:17,240 Speaker 1: And of course digital accounts of dissenters and regime critics 1881 01:47:17,280 --> 01:47:20,960 Speaker 1: could be switched off, be very difficult to even purchase necessities. 1882 01:47:21,600 --> 01:47:24,719 Speaker 1: And why is a sudden discussion about universal basic income 1883 01:47:24,760 --> 01:47:29,160 Speaker 1: from all the grassroots in inverted commerce movements and billionaires? Oh, 1884 01:47:29,479 --> 01:47:31,599 Speaker 1: university basic InCom is the bribe for you to accept 1885 01:47:31,600 --> 01:47:34,760 Speaker 1: the microchip. The overarching trend of the twentieth century is 1886 01:47:34,840 --> 01:47:36,800 Speaker 1: concentration of power in the hands of the few. That's 1887 01:47:36,800 --> 01:47:38,120 Speaker 1: what we have to keep in mind. We have to 1888 01:47:38,200 --> 01:47:41,600 Speaker 1: work against this. We don't want to have these unaccountable 1889 01:47:41,600 --> 01:47:45,200 Speaker 1: central planners making decisions. We need decentralization, and the solution 1890 01:47:45,320 --> 01:47:49,720 Speaker 1: therefore is to maintain public money in the hands of 1891 01:47:50,000 --> 01:47:55,000 Speaker 1: local community banks, decentralized decision making, give local people the 1892 01:47:55,160 --> 01:47:58,200 Speaker 1: power and the form of local public banks and local 1893 01:47:58,280 --> 01:48:01,400 Speaker 1: not for profit community banks. Pfessor Richard Warner who wrote 1894 01:48:01,520 --> 01:48:04,120 Speaker 1: a best selling book called The Princes of Yen where 1895 01:48:04,120 --> 01:48:06,320 Speaker 1: he explored the role and power of central banks and 1896 01:48:06,400 --> 01:48:09,479 Speaker 1: how they could be used to change a country's economic, political, 1897 01:48:09,520 --> 01:48:12,600 Speaker 1: and social structures. It was actually recommended to me by 1898 01:48:12,640 --> 01:48:15,040 Speaker 1: a fellow viewer, and it's a fascinating deep dive into 1899 01:48:15,080 --> 01:48:19,040 Speaker 1: the rise and fall of the Japanese economy. Anyway, my warning, 1900 01:48:19,680 --> 01:48:23,880 Speaker 1: a CBDC could never achieve such lofty goals such as 1901 01:48:24,280 --> 01:48:28,920 Speaker 1: inclusion and equity because it necessarily concentrates power and control 1902 01:48:29,000 --> 01:48:32,200 Speaker 1: into the hands of a few. And to Professor Warner's point, 1903 01:48:32,280 --> 01:48:36,919 Speaker 1: the solution isn't necessarily about more or less government regulation, 1904 01:48:37,120 --> 01:48:42,600 Speaker 1: but about creating and enforcing rules and regulations that decentralized 1905 01:48:42,640 --> 01:48:45,599 Speaker 1: power and resources. That is how we foster a society 1906 01:48:45,640 --> 01:48:50,600 Speaker 1: that protects individual liberties while also incentivizing competition and opportunities 1907 01:48:50,880 --> 01:48:54,599 Speaker 1: for everyone. Those are my thoughts about the rapid rise 1908 01:48:54,800 --> 01:48:57,080 Speaker 1: of central bank digital currencies. I hope you found this 1909 01:48:57,280 --> 01:49:00,519 Speaker 1: video to be helpful. If so, I have many others 1910 01:49:00,680 --> 01:49:02,720 Speaker 1: like it on my YouTube channel, so please head on 1911 01:49:02,800 --> 01:49:05,240 Speaker 1: over there and check out and subscribe to my channel 1912 01:49:05,240 --> 01:49:07,840 Speaker 1: fifty one forty nine with James Lee. The link will 1913 01:49:07,840 --> 01:49:10,280 Speaker 1: be in the description below. Thank you so much for 1914 01:49:10,360 --> 01:49:13,000 Speaker 1: tuning into breaking points, and as always, I appreciate your 1915 01:49:13,040 --> 01:49:13,519 Speaker 1: time today