1 00:00:01,320 --> 00:00:04,400 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:04,480 --> 00:00:06,920 Speaker 1: it impossible to function as a society and to know 3 00:00:06,960 --> 00:00:09,720 Speaker 1: what is true and what is false. The good news 4 00:00:09,800 --> 00:00:11,840 Speaker 1: is that they're failing and they know it. That is 5 00:00:11,840 --> 00:00:15,840 Speaker 1: why we're building something new. Be part of creating a new, better, healthier, 6 00:00:15,880 --> 00:00:18,920 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:18,960 --> 00:00:22,520 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:22,560 --> 00:00:24,400 Speaker 1: is going to help us build for the midterms and 9 00:00:24,440 --> 00:00:28,400 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:28,400 --> 00:00:29,640 Speaker 1: of what is sure to be one of the most 11 00:00:29,640 --> 00:00:33,320 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:33,520 --> 00:00:38,720 Speaker 1: Go to Breakingpoints dot com to help us out. So 13 00:00:38,760 --> 00:00:41,519 Speaker 1: we've been covering the way that the dab's decision overturning 14 00:00:41,600 --> 00:00:44,479 Speaker 1: row versus weight has shifted the types of voters who 15 00:00:44,520 --> 00:00:47,520 Speaker 1: were registering to vote, and apparently based on special elections, 16 00:00:47,520 --> 00:00:50,280 Speaker 1: who are then going ahead and actually voting in these elections. 17 00:00:50,760 --> 00:00:54,120 Speaker 1: It's not just though, that women are registering more than men. 18 00:00:54,160 --> 00:00:57,000 Speaker 1: There's some new data that indicates young people, who tend 19 00:00:57,000 --> 00:01:00,200 Speaker 1: to be more democratic, are also registering in larger numbers. 20 00:01:00,360 --> 00:01:02,040 Speaker 1: Let's go ahead and put this up on the screen. 21 00:01:02,080 --> 00:01:04,920 Speaker 1: This analysis from the Houston Chronicle says young Democrats are 22 00:01:04,959 --> 00:01:08,720 Speaker 1: flocking to register to vote in Texas after abortion ruling. 23 00:01:08,880 --> 00:01:12,200 Speaker 1: Data shows they point to in particular, this is data 24 00:01:12,240 --> 00:01:14,120 Speaker 1: from that company Target Smart again, which I want to 25 00:01:14,160 --> 00:01:17,480 Speaker 1: fully disclose, the Democratic aligned firm, but one that they 26 00:01:17,520 --> 00:01:19,880 Speaker 1: really rely on in terms of accurate data for their 27 00:01:19,920 --> 00:01:23,440 Speaker 1: own voter or drive efforts. They say that of eighty 28 00:01:23,480 --> 00:01:26,240 Speaker 1: thousand new voters added through the end of July, Democrats 29 00:01:26,240 --> 00:01:28,880 Speaker 1: now have a ten percentage point advantage, making up forty 30 00:01:28,920 --> 00:01:32,880 Speaker 1: two percent to Republicans thirty two before the ruling Republicans 31 00:01:32,920 --> 00:01:35,520 Speaker 1: had a five point advantage. So it went from Republicans 32 00:01:35,520 --> 00:01:37,760 Speaker 1: having a five point advantage to Democrats having a ten 33 00:01:37,800 --> 00:01:41,360 Speaker 1: point advantage in terms of voter registration. And they are 34 00:01:41,400 --> 00:01:45,480 Speaker 1: finding that it's not just women that new voter registrants 35 00:01:45,640 --> 00:01:48,200 Speaker 1: tend to be younger, and obviously that's one of the 36 00:01:48,280 --> 00:01:50,920 Speaker 1: trickiest parts of the Democratic base to turn out. So 37 00:01:51,080 --> 00:01:53,480 Speaker 1: interesting news here, yeah, it is. I mean, look, no, 38 00:01:53,600 --> 00:01:56,920 Speaker 1: this note this very carefully. Are we saying Texas will 39 00:01:56,920 --> 00:01:59,680 Speaker 1: go blue? No? Are we saying anything always going to win? 40 00:01:59,760 --> 00:02:04,880 Speaker 1: A pointing only to young Democrat registration, which is a 41 00:02:04,960 --> 00:02:09,360 Speaker 1: verifiable fact. That's it, and it has gone up after 42 00:02:09,360 --> 00:02:12,520 Speaker 1: the abortion ruling. Will it sway Texas politics, probably not. 43 00:02:12,760 --> 00:02:16,320 Speaker 1: Will Beto win probably not. Will this possibly change things 44 00:02:16,320 --> 00:02:19,880 Speaker 1: on the city and the gubernatorial level or sorry, on 45 00:02:19,919 --> 00:02:23,080 Speaker 1: the local level. Yeah, maybe maybe. And I think that 46 00:02:23,160 --> 00:02:26,520 Speaker 1: in trends then you could say, well that's interesting because 47 00:02:26,560 --> 00:02:30,560 Speaker 1: it could boost voter turnout maybe in other blue states, 48 00:02:30,840 --> 00:02:33,760 Speaker 1: possibly red states, which would then have downstream effects on 49 00:02:34,040 --> 00:02:37,040 Speaker 1: you know, midterm races and others. It's just a data 50 00:02:37,080 --> 00:02:39,280 Speaker 1: point that we're trying to point to and look at, 51 00:02:39,400 --> 00:02:41,480 Speaker 1: especially given what's going on with polling right now. I 52 00:02:41,520 --> 00:02:44,240 Speaker 1: think it's an important caveatity. Yeah, that's exactly right. I mean, 53 00:02:44,240 --> 00:02:45,959 Speaker 1: this is just you know, we're trying to read the 54 00:02:46,000 --> 00:02:48,200 Speaker 1: tea leaves. It's very difficult to know when the polling 55 00:02:48,280 --> 00:02:51,760 Speaker 1: is accurate. But the voter registration data is what it is, 56 00:02:52,280 --> 00:02:55,120 Speaker 1: and we have seen. You know, the interesting thing about 57 00:02:55,120 --> 00:02:58,080 Speaker 1: the data related to women is that is very tied 58 00:02:58,120 --> 00:03:00,919 Speaker 1: to whether or not they saw abortion access as being 59 00:03:01,000 --> 00:03:03,360 Speaker 1: on the ballot. So in Kansas, where you had that 60 00:03:03,639 --> 00:03:06,640 Speaker 1: direct ballot initiative, you had the largest swing in terms 61 00:03:06,680 --> 00:03:09,800 Speaker 1: of new women registering to vote in other states, I 62 00:03:09,800 --> 00:03:12,280 Speaker 1: think it was Michigan was another one where they felt like, Okay, 63 00:03:12,320 --> 00:03:15,079 Speaker 1: the governor's race is on the ballot there. I think 64 00:03:15,120 --> 00:03:17,840 Speaker 1: there's going to be also a direct abortion access ballot 65 00:03:17,840 --> 00:03:21,040 Speaker 1: initiative there as well. You saw significant swings in other 66 00:03:21,080 --> 00:03:23,800 Speaker 1: states like New York, where they didn't feel abortion access 67 00:03:24,040 --> 00:03:26,519 Speaker 1: was as threatened. You didn't see that same shift in 68 00:03:26,600 --> 00:03:29,160 Speaker 1: voter registration data. So it's a pretty compelling case that 69 00:03:29,240 --> 00:03:32,400 Speaker 1: it is very much directly tied to Row and what 70 00:03:32,520 --> 00:03:34,160 Speaker 1: happened there. So what is this all going to mean 71 00:03:34,200 --> 00:03:36,760 Speaker 1: for the fall Hard to say, but obviously it's harder 72 00:03:36,760 --> 00:03:38,760 Speaker 1: to get young people to turn out. When you see 73 00:03:38,800 --> 00:03:42,440 Speaker 1: young people registering that vodes well generally for the Democratic 74 00:03:42,480 --> 00:03:44,760 Speaker 1: Party and is a good indicator for them. Isn't enough 75 00:03:44,760 --> 00:03:47,600 Speaker 1: to overcome in Texas, No, but you could extrapolate that 76 00:03:47,640 --> 00:03:49,520 Speaker 1: this is likely happening in other states as well, where 77 00:03:49,520 --> 00:03:52,440 Speaker 1: it could ultimately matter exactly. So, look, if there is 78 00:03:52,680 --> 00:03:55,720 Speaker 1: ground for surprise, it will possibly come from these things 79 00:03:55,720 --> 00:03:58,080 Speaker 1: that very notoriously don't show up in polls. It's one 80 00:03:58,080 --> 00:04:00,240 Speaker 1: of the reasons Obama was such a stunner back in 81 00:04:00,280 --> 00:04:02,680 Speaker 1: two thousand and eight young people. Obviously, you know, if 82 00:04:02,680 --> 00:04:05,520 Speaker 1: the turnout actually changes even a little bit from their 83 00:04:05,640 --> 00:04:09,120 Speaker 1: end can change and impact the election. We'll see how 84 00:04:09,160 --> 00:04:11,880 Speaker 1: it goes. But interesting stuff really happening all around the 85 00:04:11,880 --> 00:04:14,440 Speaker 1: country as a result of dobbs, which is really just thrown. 86 00:04:15,200 --> 00:04:18,120 Speaker 1: It's really just thrown things in a different direction than 87 00:04:18,160 --> 00:04:20,720 Speaker 1: where things they were already headed. The death of the 88 00:04:20,800 --> 00:04:24,520 Speaker 1: queen last week sparked a million Twitter takes, probably way 89 00:04:24,600 --> 00:04:27,520 Speaker 1: more than that, actually more than good, bad and ugly, 90 00:04:28,200 --> 00:04:31,600 Speaker 1: and also some censorship of those Twitter takes. Let's go 91 00:04:31,640 --> 00:04:34,600 Speaker 1: ahead and put this up on the screen here. Twitter 92 00:04:34,800 --> 00:04:37,840 Speaker 1: says it censored a tweet wishing that Queen Elizabeth would 93 00:04:37,839 --> 00:04:41,640 Speaker 1: suffer on her death ped because it might quote harass, intimidate, 94 00:04:41,800 --> 00:04:45,800 Speaker 1: or silence her. Okay, but is it possible for literally 95 00:04:45,839 --> 00:04:48,560 Speaker 1: anyone to do that to a monarch with a single tweet. 96 00:04:48,600 --> 00:04:51,800 Speaker 1: It is a fascinating case to me. The Intercept has 97 00:04:51,839 --> 00:04:55,800 Speaker 1: the report here. They say the policy that Twitter invoked 98 00:04:55,920 --> 00:04:59,560 Speaker 1: to justify taking this tweet down, this was from a professor, 99 00:05:00,320 --> 00:05:04,039 Speaker 1: was intended to protect the world's longest reigning monarch, who 100 00:05:04,120 --> 00:05:06,920 Speaker 1: died that day from being silence. Hard to see how 101 00:05:06,960 --> 00:05:10,360 Speaker 1: that really justifies let me read you the tweet. I mean, 102 00:05:10,400 --> 00:05:12,680 Speaker 1: I'm not like, this is not how I would have 103 00:05:12,760 --> 00:05:14,680 Speaker 1: phrased things, even as I have a critique of the 104 00:05:14,720 --> 00:05:18,719 Speaker 1: monarchy and of course imperialism. But what this professor said 105 00:05:18,800 --> 00:05:21,360 Speaker 1: was I heard the chief monarch of a thieving, raping, 106 00:05:21,400 --> 00:05:24,839 Speaker 1: genocidal empire is finally dying. May her pain be excruciating. 107 00:05:25,240 --> 00:05:27,880 Speaker 1: One of the points that I saw made Sager is 108 00:05:27,920 --> 00:05:31,240 Speaker 1: that if this was said about, you know, one of 109 00:05:31,320 --> 00:05:34,839 Speaker 1: the leaders of an official like bad guy state, there's 110 00:05:34,839 --> 00:05:37,320 Speaker 1: no way they would take It's also it's so foolish. 111 00:05:37,360 --> 00:05:38,840 Speaker 1: The queen is a public figure, by the way. I 112 00:05:38,839 --> 00:05:42,760 Speaker 1: think that's ignorant, a stupid tweet, but it doesn't doesn't 113 00:05:42,760 --> 00:05:44,400 Speaker 1: mean that it should have been taken down. It's just 114 00:05:44,480 --> 00:05:46,719 Speaker 1: ludicrous that they would take it down for quote unquote 115 00:05:46,839 --> 00:05:49,359 Speaker 1: abusive purposes. By the way, she was getting raked, dunked on, 116 00:05:49,560 --> 00:05:52,600 Speaker 1: and everybody was calling her a fool, which is punishment enough. 117 00:05:52,640 --> 00:05:55,400 Speaker 1: Even Bezos apparently jumped in. Yeah. Well, and now it's 118 00:05:55,520 --> 00:05:59,080 Speaker 1: very convenient because this professor has also been a supporter 119 00:05:59,240 --> 00:06:02,080 Speaker 1: of the Amazon Lee reunion efforts chure with Chris Small. 120 00:06:02,200 --> 00:06:04,520 Speaker 1: So I don't think it funny that Bezos then goes 121 00:06:04,560 --> 00:06:07,200 Speaker 1: and ways in. I'm as a big critic of Bezos, 122 00:06:07,279 --> 00:06:08,560 Speaker 1: but I don't think that had anything to do with 123 00:06:08,680 --> 00:06:11,040 Speaker 1: I think it was just cringe on her part. Yeah. Look, 124 00:06:11,040 --> 00:06:12,880 Speaker 1: I mean, look, let's do a little history lesson. This 125 00:06:12,920 --> 00:06:15,400 Speaker 1: is a fun one. Here's what she actually says. She said, 126 00:06:15,400 --> 00:06:18,240 Speaker 1: I heard the chief monarch of a thieving, raping, genocidal 127 00:06:18,240 --> 00:06:21,840 Speaker 1: empire is finally dying. May her pain be excruciating. Put 128 00:06:21,880 --> 00:06:26,560 Speaker 1: your critique of the of the monarchy, the institution itself aside. 129 00:06:26,720 --> 00:06:31,600 Speaker 1: Queen Elizabeth presided over rapid decolonization of the entire empire, 130 00:06:32,000 --> 00:06:35,240 Speaker 1: was the quote unquote Queen of the Commonwealth, and had 131 00:06:35,360 --> 00:06:39,479 Speaker 1: nothing to do with any colonialism whatsoever. In fact, and 132 00:06:39,520 --> 00:06:41,200 Speaker 1: this is what annoys the hell out of me, Crystal, 133 00:06:41,400 --> 00:06:45,600 Speaker 1: which is that the British government is the one responsible 134 00:06:46,080 --> 00:06:48,880 Speaker 1: for the empire. But they are the ones who, by 135 00:06:48,920 --> 00:06:51,440 Speaker 1: the way, all the jewels, all of that, they own it. 136 00:06:51,640 --> 00:06:54,240 Speaker 1: They can return it to the Indian government and should 137 00:06:54,440 --> 00:06:57,440 Speaker 1: having been to the British Museum tomorrow. It's the monarchy 138 00:06:57,440 --> 00:07:00,760 Speaker 1: has no control, okay. But if it's not like she 139 00:07:00,960 --> 00:07:06,760 Speaker 1: is an emblem of that era of colonializations, Okay, come on, 140 00:07:06,839 --> 00:07:08,719 Speaker 1: did you see the monologue that Tucker did about this. 141 00:07:09,000 --> 00:07:12,200 Speaker 1: He explicitly made the case that the reason that she 142 00:07:12,400 --> 00:07:15,760 Speaker 1: is so wonderful and so great is because she is 143 00:07:15,800 --> 00:07:18,720 Speaker 1: the symbol of that era of the British Empire, and 144 00:07:18,760 --> 00:07:21,560 Speaker 1: she is. He's right about that. I obviously totally disagree 145 00:07:21,600 --> 00:07:24,000 Speaker 1: with his take on how that should be viewed. But 146 00:07:24,120 --> 00:07:26,200 Speaker 1: she is the symbol of that. And it's not like 147 00:07:26,240 --> 00:07:29,880 Speaker 1: she was objecting to the you know, horrific things that 148 00:07:29,920 --> 00:07:32,240 Speaker 1: were going on where she's the British colonial aaria. She 149 00:07:32,280 --> 00:07:34,920 Speaker 1: wasn't even alive during that happening. She or fine, she 150 00:07:34,960 --> 00:07:38,800 Speaker 1: wasn't even conscious, Like her actual coming of age happened 151 00:07:38,880 --> 00:07:40,880 Speaker 1: during World War Two, where she served as a mechanic. 152 00:07:41,040 --> 00:07:43,640 Speaker 1: She became queen in the nineteen fifties and again presided 153 00:07:43,680 --> 00:07:46,520 Speaker 1: over peaceful decolonization, or at the very least, like the 154 00:07:46,560 --> 00:07:49,680 Speaker 1: British Empire didn't fight quote unquote while all that was 155 00:07:49,680 --> 00:07:53,240 Speaker 1: happening under her. Many countries became republics while she was queen. 156 00:07:53,480 --> 00:07:55,360 Speaker 1: She didn't do anything. In fact, she like sent and 157 00:07:55,560 --> 00:07:58,840 Speaker 1: attended ceremonies while that happened. Look again, you can put 158 00:07:58,840 --> 00:08:01,720 Speaker 1: your critique. Archy has not been in charge of British 159 00:08:01,720 --> 00:08:05,920 Speaker 1: foreign policy. Basically since like whoever the son of King 160 00:08:05,960 --> 00:08:09,760 Speaker 1: George the Third was, Queen Victoria was the last person 161 00:08:09,800 --> 00:08:12,880 Speaker 1: who had any say in the British Empire whatsoever. And 162 00:08:12,920 --> 00:08:15,000 Speaker 1: even though this look again, my family is Indian, we 163 00:08:15,000 --> 00:08:16,880 Speaker 1: were literally oppressed by the British. You know who I 164 00:08:16,920 --> 00:08:20,280 Speaker 1: blame Benjamin Disraeli, the Prime Minister of Britain. He's the 165 00:08:20,280 --> 00:08:22,760 Speaker 1: person who was in charge of the quote unquote emperire 166 00:08:23,120 --> 00:08:25,360 Speaker 1: of India and proclaimed. By the way, this is another thing. 167 00:08:25,640 --> 00:08:28,840 Speaker 1: The government is the one that proclaimed Queen Victoria the 168 00:08:28,880 --> 00:08:31,520 Speaker 1: Empress of India, not the other way around. Everybody points 169 00:08:31,560 --> 00:08:33,400 Speaker 1: to the Jewels. I agree, guests who stole them the 170 00:08:33,400 --> 00:08:36,200 Speaker 1: British Army on behalf of the British Empire. It's not 171 00:08:36,240 --> 00:08:39,920 Speaker 1: like the monarchy outside of getting pensions again from the 172 00:08:39,920 --> 00:08:45,559 Speaker 1: British government's. It just annoys me because people put their transposed, 173 00:08:45,559 --> 00:08:51,280 Speaker 1: their like woke bs onto the monarchy and not the government. Okay, 174 00:08:51,280 --> 00:08:54,760 Speaker 1: but first of all, monarchy is a disgusting system of government. Sure, 175 00:08:55,080 --> 00:08:57,920 Speaker 1: we had broke away for the reason exactly it should end. 176 00:08:58,160 --> 00:09:00,800 Speaker 1: Number two, the people who are sell rating her the 177 00:09:00,880 --> 00:09:03,000 Speaker 1: most in terms of the right wing in America are 178 00:09:03,080 --> 00:09:05,720 Speaker 1: directly tying her to that legacy and saying things like 179 00:09:05,840 --> 00:09:08,560 Speaker 1: it was better when I don't know what Tucker said, 180 00:09:08,760 --> 00:09:11,520 Speaker 1: it was better when England's ruled Rhodesia. That's what he 181 00:09:11,600 --> 00:09:15,280 Speaker 1: literally was saying, and telling her to that love that era. 182 00:09:15,640 --> 00:09:18,560 Speaker 1: So let's not pretend like she is not connected to 183 00:09:18,600 --> 00:09:21,160 Speaker 1: that or like she had a critique of it whatsoever. 184 00:09:21,280 --> 00:09:24,880 Speaker 1: So to get back to the point here, the bottom 185 00:09:24,920 --> 00:09:27,040 Speaker 1: line is people had a lot of takes and they 186 00:09:27,040 --> 00:09:29,200 Speaker 1: should be allowed to say them, and they shouldn't be censored. 187 00:09:29,200 --> 00:09:31,560 Speaker 1: And if they said it about anyone else around the world, 188 00:09:31,600 --> 00:09:34,520 Speaker 1: they wouldn't be And it shows you how haphazard this 189 00:09:34,760 --> 00:09:38,199 Speaker 1: whole system of censorship is and how foolish it is 190 00:09:38,280 --> 00:09:41,240 Speaker 1: for the liberals who advocate for it to not only continue, 191 00:09:41,400 --> 00:09:43,400 Speaker 1: but to go even further in terms of censorship, even 192 00:09:43,400 --> 00:09:46,040 Speaker 1: though I think this woman is lucros and yeah and 193 00:09:46,160 --> 00:09:48,280 Speaker 1: claims oppression. By the way I looked into her background, 194 00:09:48,360 --> 00:09:51,360 Speaker 1: went to Dartmouth, child of rich immigrants. You know, when 195 00:09:51,400 --> 00:09:55,680 Speaker 1: Ivy League institutions get some fake you know, counter critical 196 00:09:55,800 --> 00:09:59,960 Speaker 1: racist linguist paid position at Carnegie Mellon. She's the opposite 197 00:10:00,160 --> 00:10:03,280 Speaker 1: of oppressed in the United States. But hey, listen, shouldn't 198 00:10:03,280 --> 00:10:06,320 Speaker 1: be censored even what Carnegie Mellon is now trashing her too, 199 00:10:06,800 --> 00:10:10,640 Speaker 1: going against have their other free speech claims when they 200 00:10:10,679 --> 00:10:14,800 Speaker 1: protect Yes, they have in terms of bezos too. Like, 201 00:10:15,280 --> 00:10:17,800 Speaker 1: I also think that he's seen sort of Elon Musk 202 00:10:17,880 --> 00:10:21,320 Speaker 1: dabbling in these like becoming a fanboy of the right, 203 00:10:21,559 --> 00:10:24,040 Speaker 1: and saw this as an opportunity for him to make 204 00:10:24,080 --> 00:10:26,000 Speaker 1: his own like moves in that you always is the 205 00:10:26,080 --> 00:10:30,680 Speaker 1: discount Elon in these regardss like discount takes discount space. 206 00:10:30,840 --> 00:10:33,760 Speaker 1: True that I can absolutely agree with. All Right, look, 207 00:10:33,960 --> 00:10:36,560 Speaker 1: I'm now a fan of the institutional monarchy. I'm just saying, 208 00:10:36,760 --> 00:10:38,320 Speaker 1: like a lot of the takes that are out there 209 00:10:38,400 --> 00:10:42,320 Speaker 1: right now are dramatically uninformed and actually just straight up stupid. 210 00:10:42,360 --> 00:10:44,240 Speaker 1: So people should read about. By the way, the history 211 00:10:44,240 --> 00:10:47,120 Speaker 1: of the Empire is very interesting in both in its decline, 212 00:10:47,240 --> 00:10:49,600 Speaker 1: the way it was ruled, well it's actual legacy, both 213 00:10:49,600 --> 00:10:52,199 Speaker 1: the horrific parts, and then really in terms of how 214 00:10:52,240 --> 00:10:55,560 Speaker 1: it all coincided, like with their eventual culmination in the 215 00:10:55,600 --> 00:10:58,640 Speaker 1: National Health Service, how they consciously chose there's a hopeful 216 00:10:58,640 --> 00:11:02,480 Speaker 1: story there too. It's interesting that's all I'm saying. All Right, everybody, 217 00:11:02,520 --> 00:11:06,000 Speaker 1: go read a book. Interesting little update from former George W. 218 00:11:06,080 --> 00:11:08,679 Speaker 1: Bush press secretary Ari Fleischer. Let's go ahead and put 219 00:11:08,679 --> 00:11:11,480 Speaker 1: this tear sheet up on the screen. From huff Post. 220 00:11:11,920 --> 00:11:15,719 Speaker 1: Ari Fleischer accused of bowing to Saudi live golf employer 221 00:11:15,880 --> 00:11:20,160 Speaker 1: after halting nine eleven tweets. Fleischer, a former press secretary 222 00:11:20,160 --> 00:11:22,280 Speaker 1: for President George W. Bush and a Fox News contributor, 223 00:11:22,280 --> 00:11:25,080 Speaker 1: said the speculation was foolish conspiracy theory. Okay, so here's 224 00:11:25,120 --> 00:11:27,680 Speaker 1: what happened. Okay, every year, I didn't actually know that 225 00:11:27,720 --> 00:11:30,760 Speaker 1: he does this, but apparently every year since nine to eleven, 226 00:11:30,920 --> 00:11:33,440 Speaker 1: Ari Fleischer has been on nine eleven sort of live 227 00:11:33,480 --> 00:11:37,520 Speaker 1: tweeting what happened. Since Twitter's it's been like ten years. 228 00:11:37,800 --> 00:11:39,840 Speaker 1: I used to follow it too, so he would do 229 00:11:39,880 --> 00:11:43,480 Speaker 1: this every year. So this year something has changed. Ari 230 00:11:43,559 --> 00:11:48,640 Speaker 1: Fleischer's communications firm has now been hired by Saudi backed 231 00:11:48,920 --> 00:11:53,680 Speaker 1: live golf tournament, so apparently making some money from the Saudis. 232 00:11:53,760 --> 00:11:56,760 Speaker 1: And then lo and behold. He sends out this tweet 233 00:11:57,320 --> 00:12:00,680 Speaker 1: just before the twenty first anniversary of that tear first attack. 234 00:12:01,040 --> 00:12:04,000 Speaker 1: He says, quote, I have decided that my story has 235 00:12:04,040 --> 00:12:06,560 Speaker 1: been told and I will not live tweet what took 236 00:12:06,559 --> 00:12:08,760 Speaker 1: place on nine to eleven. Again, It's time to let 237 00:12:08,800 --> 00:12:11,520 Speaker 1: it rest. There is nothing new to say or reveal. 238 00:12:11,960 --> 00:12:14,920 Speaker 1: Thank you for reading and for caring about our nation's sister. 239 00:12:15,120 --> 00:12:17,559 Speaker 1: Why did it Jiff? Why did it change from nineteen 240 00:12:17,640 --> 00:12:20,440 Speaker 1: years to twenty years twenty one years? The only thing 241 00:12:20,480 --> 00:12:23,200 Speaker 1: that's changed is that now you take Saudi money. And 242 00:12:23,240 --> 00:12:26,560 Speaker 1: this just is exactly highlights the issue with these people. 243 00:12:26,679 --> 00:12:29,720 Speaker 1: Ari Fleischer was with President Bush on nine to eleven. 244 00:12:29,760 --> 00:12:32,560 Speaker 1: He was an Iraq war defender, he's a Fox News stalwart, 245 00:12:32,600 --> 00:12:35,000 Speaker 1: and now he works for Saudi Arabia straight up literally 246 00:12:35,040 --> 00:12:38,640 Speaker 1: taking Saudi cash is completely disgusting. I mean nine to 247 00:12:38,679 --> 00:12:41,600 Speaker 1: eleven is this whole guy, this skuy full identity thing, 248 00:12:41,840 --> 00:12:43,520 Speaker 1: and then for a big enough paycheck, he's the one 249 00:12:43,520 --> 00:12:45,560 Speaker 1: to be like, nah, we're good. I think we've said 250 00:12:45,640 --> 00:12:47,640 Speaker 1: enough here. And one of the most popular things Lisa 251 00:12:47,840 --> 00:12:50,680 Speaker 1: also blames his travel schedule. Bro, you obviously didn't write 252 00:12:50,720 --> 00:12:53,720 Speaker 1: those yourself, like you clearly just have interns who repost 253 00:12:53,760 --> 00:12:55,840 Speaker 1: them and schedule. You can schedule them in a day. 254 00:12:56,040 --> 00:12:58,719 Speaker 1: It's not that way. Keep it going. I mean, at 255 00:12:58,720 --> 00:13:01,079 Speaker 1: the very least like, wait, a couple of years to 256 00:13:01,240 --> 00:13:05,400 Speaker 1: your Saudi contract is you know, not freshly inked. There 257 00:13:05,400 --> 00:13:07,640 Speaker 1: were a lot of people online, of course, who noted 258 00:13:07,800 --> 00:13:11,600 Speaker 1: this strange connection between Ari Fleischer changing his long standing 259 00:13:11,640 --> 00:13:14,720 Speaker 1: tradition and getting a bunch of cash from the Saudis. 260 00:13:15,360 --> 00:13:18,240 Speaker 1: A Hill reporter said, cannot get over Ari Fleischer getting 261 00:13:18,280 --> 00:13:20,560 Speaker 1: a pr job with the Saudis and then announcing that 262 00:13:20,720 --> 00:13:23,080 Speaker 1: actually his nine to eleven play by play tweets have 263 00:13:23,200 --> 00:13:27,640 Speaker 1: run their course. Yeah, it's too too perfect, and you're right, 264 00:13:27,880 --> 00:13:31,360 Speaker 1: they're absolutely solas. This was the core of his whole identity. 265 00:13:31,800 --> 00:13:35,680 Speaker 1: But for the right price, goodbye. We'll move on enough 266 00:13:35,720 --> 00:13:37,719 Speaker 1: to say about nine to eleven, enough to say I've 267 00:13:37,720 --> 00:13:40,200 Speaker 1: said my piece. It's like again, you've said it for 268 00:13:40,280 --> 00:13:42,160 Speaker 1: years and years and years, and now you just decided 269 00:13:42,200 --> 00:13:45,240 Speaker 1: not to with the completely fake excuse. Only one variable 270 00:13:45,600 --> 00:13:47,080 Speaker 1: has changed in this. And there's a lot of this 271 00:13:47,120 --> 00:13:49,360 Speaker 1: stuff going on with liv golf. Remember who was It 272 00:13:49,400 --> 00:13:51,440 Speaker 1: was like Phil Mickelson who was talking about side and 273 00:13:51,440 --> 00:13:54,679 Speaker 1: he's like, I didn't meet it or like retracted his 274 00:13:55,000 --> 00:13:58,880 Speaker 1: his like covering up. I mean, it's got Trump's taken 275 00:13:59,120 --> 00:14:01,720 Speaker 1: millions and millions. We don't even know how much to 276 00:14:01,840 --> 00:14:05,160 Speaker 1: host their tournaments. He's talking it up and it's a 277 00:14:05,160 --> 00:14:07,160 Speaker 1: great thing. And this is a guy who you know, 278 00:14:07,400 --> 00:14:08,960 Speaker 1: was in the White House and may well be in 279 00:14:08,960 --> 00:14:12,520 Speaker 1: the White House again with this kind of very direct 280 00:14:12,800 --> 00:14:16,400 Speaker 1: financial interest in Saudi government. It's disgraceful. And that's to 281 00:14:16,400 --> 00:14:18,679 Speaker 1: say nothing of Kushner and his cash that he's taken 282 00:14:18,679 --> 00:14:21,120 Speaker 1: from them. Very true. Something we've been covering for a 283 00:14:21,160 --> 00:14:25,120 Speaker 1: while here is the distance between the rhetoric from Democrats 284 00:14:25,160 --> 00:14:29,280 Speaker 1: about what an existential threat certain Republicans are to democracy 285 00:14:29,520 --> 00:14:32,960 Speaker 1: and their practice of propping some of the most fringe 286 00:14:33,080 --> 00:14:37,080 Speaker 1: extremist Republicans up in Republican primary institute of millions of 287 00:14:37,080 --> 00:14:40,040 Speaker 1: dollars with the expectation that maybe you know, these ones 288 00:14:40,040 --> 00:14:41,960 Speaker 1: who are the furthest on the fringe will be easiest 289 00:14:42,000 --> 00:14:44,840 Speaker 1: to defeat in November. So Vice President Kamala Harris was 290 00:14:44,880 --> 00:14:49,640 Speaker 1: actually grilled about exactly this price this practice by Chuck Todd, 291 00:14:49,680 --> 00:14:51,040 Speaker 1: and she did not have allowed to say about it. 292 00:14:51,080 --> 00:14:54,600 Speaker 1: Let's take a lism when you see the Democratic Party 293 00:14:54,640 --> 00:14:57,600 Speaker 1: in some parts of the party funding ads to promote 294 00:14:57,680 --> 00:15:00,480 Speaker 1: some of these election deniers in primaries, whether it's Michigan, 295 00:15:00,640 --> 00:15:05,040 Speaker 1: the high profile race there Illinois, Colorado, New Hampshire. It 296 00:15:05,080 --> 00:15:07,600 Speaker 1: looks like a cynical you know, a little bit cynical. 297 00:15:08,360 --> 00:15:10,400 Speaker 1: And the President went out of his way to say, 298 00:15:10,400 --> 00:15:14,200 Speaker 1: there are good Republicans here. Should you leave the good 299 00:15:14,240 --> 00:15:17,440 Speaker 1: Republicans alone in a primary? Should is a Democratic Party 300 00:15:17,440 --> 00:15:20,120 Speaker 1: making a mistake here? By by? You know, those people 301 00:15:20,120 --> 00:15:23,600 Speaker 1: could win if you're not careful. I mean, listen, I'm 302 00:15:23,640 --> 00:15:26,360 Speaker 1: not going to tell people how to run their campaigns. 303 00:15:26,800 --> 00:15:29,960 Speaker 1: You know, I ran in terms of state wide office. 304 00:15:30,000 --> 00:15:32,520 Speaker 1: Would you have ran? Would you have done this? Is 305 00:15:32,520 --> 00:15:35,480 Speaker 1: this in your I'm not going to tell people how 306 00:15:35,480 --> 00:15:40,200 Speaker 1: to run their campaigns. Chuck, I ran for a statewide 307 00:15:40,200 --> 00:15:44,040 Speaker 1: for attorney general re election, won both times for Senate, 308 00:15:45,000 --> 00:15:48,320 Speaker 1: won that race, and I know that it is best 309 00:15:48,440 --> 00:15:53,360 Speaker 1: to to to let a candidate along with their their advisors, 310 00:15:54,160 --> 00:15:56,080 Speaker 1: let them make the decision based on what they believe 311 00:15:56,120 --> 00:16:01,800 Speaker 1: is in the best interest of their state. It means 312 00:16:01,840 --> 00:16:05,800 Speaker 1: nothing as usual, It means absolutely nothing. I mean no defense. 313 00:16:06,160 --> 00:16:08,200 Speaker 1: There is no defense. There is no defense of it. 314 00:16:08,520 --> 00:16:10,600 Speaker 1: Either it's an existential threat and we have to do 315 00:16:10,640 --> 00:16:12,560 Speaker 1: everything we can to stop it, or it's not. And 316 00:16:12,880 --> 00:16:17,320 Speaker 1: very clearly like based on what not just these Democratic 317 00:16:17,360 --> 00:16:20,920 Speaker 1: candid's a lot of outside Democratic aligned groups that have 318 00:16:20,920 --> 00:16:24,240 Speaker 1: been spending money to prop up these candidates. Like okay, 319 00:16:24,400 --> 00:16:26,760 Speaker 1: so and it wasn't I think there was even d 320 00:16:26,840 --> 00:16:29,600 Speaker 1: triple C like direct Democratic Party money that was going 321 00:16:29,600 --> 00:16:31,560 Speaker 1: into some of these primaries as well, because I seem 322 00:16:31,600 --> 00:16:35,200 Speaker 1: to remember Sean Patrick Coloni having to defend exactly that. 323 00:16:35,600 --> 00:16:38,000 Speaker 1: One of the most egregious examples was they had a 324 00:16:38,080 --> 00:16:41,800 Speaker 1: dude who literally voted for Trump's impeachment over January sixth 325 00:16:41,920 --> 00:16:44,680 Speaker 1: in what was in Michigan, right, and they spent money 326 00:16:44,720 --> 00:16:46,880 Speaker 1: to defeat him with this guy who's a total election 327 00:16:47,040 --> 00:16:51,080 Speaker 1: denial And I mean, so you can't defend it. You 328 00:16:51,120 --> 00:16:53,440 Speaker 1: can't defend it, defend it based on sort of the 329 00:16:53,520 --> 00:16:56,600 Speaker 1: rhetoric that they have been using. Now, what I've seen 330 00:16:56,600 --> 00:16:59,440 Speaker 1: Sean Patrick Maloney saying is basically like listen, they're all 331 00:16:59,480 --> 00:17:01,400 Speaker 1: bad and so we got to win and that's the 332 00:17:01,440 --> 00:17:04,600 Speaker 1: most important thing. Okay, like make that case. But she 333 00:17:04,720 --> 00:17:08,440 Speaker 1: just completely dodges here. Yeah, no, it's exactly at least 334 00:17:08,480 --> 00:17:10,280 Speaker 1: do what Pelosi did. She's like, no, we did it, 335 00:17:10,320 --> 00:17:12,000 Speaker 1: and it's because we want to win and we think 336 00:17:12,000 --> 00:17:14,480 Speaker 1: that will or I think James Carville did that. Yeah, 337 00:17:14,520 --> 00:17:17,080 Speaker 1: he was like, yeah, that's what to do. It's called politics. 338 00:17:17,160 --> 00:17:20,120 Speaker 1: It's like she doesn't even have the cynical nature enough 339 00:17:20,160 --> 00:17:22,480 Speaker 1: where she clearly believes she's like no, I stand by it, 340 00:17:23,520 --> 00:17:26,439 Speaker 1: and just spouts like literal gobbledegook, which is why she 341 00:17:26,560 --> 00:17:31,919 Speaker 1: is just so awful at this truly. So we've got 342 00:17:31,920 --> 00:17:35,000 Speaker 1: an update for you on Starbucks corporate and how they 343 00:17:35,119 --> 00:17:38,239 Speaker 1: have really become some of the worst union busters in 344 00:17:38,280 --> 00:17:43,560 Speaker 1: the entire country. They're supposedly progressive rhetoric and ethos, notwithstanding 345 00:17:43,560 --> 00:17:46,040 Speaker 1: here apparently not a barrier to them trying to crush 346 00:17:46,080 --> 00:17:49,639 Speaker 1: their workers in every way possible. The latest development is 347 00:17:49,680 --> 00:17:51,679 Speaker 1: that one of the originalists put this up on the screen. 348 00:17:51,880 --> 00:17:56,040 Speaker 1: One of the original Buffalo union organizers, those Buffalo stores, 349 00:17:56,080 --> 00:17:59,879 Speaker 1: the very first to unionize, Jazz Brisak. She says she 350 00:18:00,080 --> 00:18:02,959 Speaker 1: has been forced out by the company. Now, the company 351 00:18:02,960 --> 00:18:06,760 Speaker 1: disputes this. She's been pushing for a different schedule. They 352 00:18:06,800 --> 00:18:09,320 Speaker 1: say that, hey, we're treating you like everybody else and sorry, 353 00:18:09,359 --> 00:18:11,080 Speaker 1: we can't accommodate you. So I guess you're just going 354 00:18:11,160 --> 00:18:14,359 Speaker 1: to have to leave. She says, no, You've accommodated all 355 00:18:14,440 --> 00:18:16,560 Speaker 1: kinds of other people, but for some reason, when it 356 00:18:16,600 --> 00:18:19,320 Speaker 1: came to me, you've been doing everything you can to 357 00:18:19,520 --> 00:18:21,960 Speaker 1: push me out the door. This comes on the heels. 358 00:18:21,960 --> 00:18:25,680 Speaker 1: I mean, Starbucks is under fire for firing a number 359 00:18:25,760 --> 00:18:29,800 Speaker 1: of top union organizers across the country. The NLRB is 360 00:18:29,840 --> 00:18:32,879 Speaker 1: already taking action against them in a number of those instances. 361 00:18:32,920 --> 00:18:35,800 Speaker 1: So this would be far from the first case where 362 00:18:35,840 --> 00:18:40,119 Speaker 1: Starbucks has been caught pushing out or outright firing labor 363 00:18:40,240 --> 00:18:43,960 Speaker 1: union organizers. The other piece of this is equally sort 364 00:18:43,960 --> 00:18:47,120 Speaker 1: of brazen and really astonishing. Let's go ahead and put 365 00:18:47,119 --> 00:18:50,159 Speaker 1: this next piece up on the screen. Ken Klippenstein tweeting 366 00:18:50,160 --> 00:18:52,760 Speaker 1: out of Reuter's article here that says Starbucks announces new 367 00:18:52,840 --> 00:18:56,159 Speaker 1: student loan repayment tools and a savings account program for 368 00:18:56,280 --> 00:19:01,439 Speaker 1: all US employees who are not union members. Now, Starbucks 369 00:19:01,440 --> 00:19:03,720 Speaker 1: has been at this for a while now. This was 370 00:19:03,760 --> 00:19:06,320 Speaker 1: the first thing Howard Schultz did, the former CEO when 371 00:19:06,320 --> 00:19:08,280 Speaker 1: they brought him back, as he said, Hey, we're going 372 00:19:08,359 --> 00:19:11,879 Speaker 1: to give new benefits to everyone except union members. The 373 00:19:11,960 --> 00:19:15,280 Speaker 1: National Abor Relations Board has already said you can't do this. 374 00:19:15,280 --> 00:19:19,359 Speaker 1: This is brazenly illegal, and yet they're still doing the 375 00:19:19,400 --> 00:19:23,879 Speaker 1: same thing. Just completely define what the NLRB has said 376 00:19:24,000 --> 00:19:26,959 Speaker 1: is a legal union busting tactic. Yeah, it's totally crazy. 377 00:19:27,000 --> 00:19:28,639 Speaker 1: I think with the crazy part really is not just 378 00:19:28,680 --> 00:19:31,240 Speaker 1: what happened to her, which you know obviously is. It's 379 00:19:31,320 --> 00:19:34,720 Speaker 1: clearly a retaliation move. As we said, she's been on 380 00:19:34,760 --> 00:19:37,040 Speaker 1: the show before too, so people should go back. Maybe 381 00:19:37,040 --> 00:19:39,640 Speaker 1: we'll put links James in the description of this video 382 00:19:39,680 --> 00:19:42,320 Speaker 1: so people can go and watch those. But yeah, I 383 00:19:42,320 --> 00:19:46,040 Speaker 1: mean they have been escalating their tactics from the beginning 384 00:19:46,280 --> 00:19:50,199 Speaker 1: that a legal move on benefits for some but not 385 00:19:50,280 --> 00:19:53,320 Speaker 1: for others, clearly to try and influence future votes. But 386 00:19:54,200 --> 00:19:56,640 Speaker 1: to their credit, they're not falling for it every time 387 00:19:56,680 --> 00:19:59,240 Speaker 1: a vote comes around for unionization. Yeah. Win. So it's 388 00:19:59,280 --> 00:20:02,960 Speaker 1: not like the companies employees itself are actually listening and 389 00:20:03,600 --> 00:20:06,960 Speaker 1: are bowing to the intimidation tactics. That doesn't that doesn't 390 00:20:07,000 --> 00:20:09,800 Speaker 1: stop them from being illegal and terrible at the same time. Yes, 391 00:20:09,920 --> 00:20:11,920 Speaker 1: in all of that, all of that, yeah, there are 392 00:20:12,200 --> 00:20:14,760 Speaker 1: a lot of the union busting tactics at Starbucks and 393 00:20:14,800 --> 00:20:17,080 Speaker 1: at Amazon and some of these other companies as well 394 00:20:17,119 --> 00:20:20,679 Speaker 1: seem to actually be backfiring because it just shows it 395 00:20:20,880 --> 00:20:24,160 Speaker 1: shows the workers, I think, especially at a company like Starbucks, 396 00:20:24,480 --> 00:20:26,240 Speaker 1: how full of it they were when they were spouting 397 00:20:26,240 --> 00:20:29,040 Speaker 1: all this like oh, we're a progressive workplace and our partners, 398 00:20:29,040 --> 00:20:32,800 Speaker 1: our baristas blah blah blah. No, it really shows exactly 399 00:20:32,800 --> 00:20:35,280 Speaker 1: what they're all about, and it's just about control and 400 00:20:35,320 --> 00:20:38,080 Speaker 1: profits ultimately. I do think that. I mean, the Starbucks 401 00:20:38,119 --> 00:20:40,920 Speaker 1: example is one we keep coming back to because it 402 00:20:41,040 --> 00:20:44,800 Speaker 1: is the place where the sort of national grassroots union 403 00:20:44,800 --> 00:20:49,680 Speaker 1: movement has been the fastest paced. It's really has spread 404 00:20:49,880 --> 00:20:51,880 Speaker 1: like wildfire. You now have I think like two hundred 405 00:20:51,880 --> 00:20:55,680 Speaker 1: and thirty four Starbucks stores nationwide that have unionized. Previously 406 00:20:55,720 --> 00:20:59,119 Speaker 1: there wasn't even a single one, so that's crazy. In 407 00:20:59,160 --> 00:21:01,760 Speaker 1: the same respect, it also shows you just what an 408 00:21:01,840 --> 00:21:04,280 Speaker 1: uphill slog it is, both through the company tactics but 409 00:21:04,320 --> 00:21:06,440 Speaker 1: also the fact, I think they have like nine thousand stores. 410 00:21:06,720 --> 00:21:11,960 Speaker 1: So even with this huge movement, wildly successful, historic biggest 411 00:21:11,960 --> 00:21:16,760 Speaker 1: in history effort within fast food industry, it still doesn't 412 00:21:16,760 --> 00:21:20,400 Speaker 1: even come close to impacting all Starbucks workers or all 413 00:21:20,440 --> 00:21:23,439 Speaker 1: Starbucks stores. So it really shows you how our like 414 00:21:23,520 --> 00:21:26,399 Speaker 1: shot by shop model is very very difficult, makes it 415 00:21:26,480 --> 00:21:29,879 Speaker 1: very difficult for workers ultimately to succeed, and opens up 416 00:21:29,880 --> 00:21:32,440 Speaker 1: the door to these types of you know, extreme and 417 00:21:32,480 --> 00:21:36,040 Speaker 1: illegal pressure tactics from corporations, and of course the NLRB, 418 00:21:36,160 --> 00:21:38,240 Speaker 1: which has been much better under Joe Biden, is still 419 00:21:38,240 --> 00:21:41,199 Speaker 1: not perfect. Their hands are tied in terms of really 420 00:21:41,280 --> 00:21:45,520 Speaker 1: having effective methods of making companies pay for engaging these 421 00:21:45,560 --> 00:21:47,600 Speaker 1: sort of illegal tactics, which is why they just continue 422 00:21:47,640 --> 00:21:50,560 Speaker 1: to do it. Sounds like a good argument for sectoral 423 00:21:50,600 --> 00:21:53,200 Speaker 1: bargaining indeed at all right, guys, more for real. Lator, 424 00:21:53,320 --> 00:21:55,800 Speaker 1: All right, we're joined next by Congress and Rocana. He's 425 00:21:55,800 --> 00:21:58,880 Speaker 1: a Democrat from California who represents Silicon Valley and we're 426 00:21:58,880 --> 00:22:02,320 Speaker 1: glad to have him here on the first inaugural episode 427 00:22:02,359 --> 00:22:07,680 Speaker 1: of Counterpoints. Congressman, thank you for joining us. Congratulations, I'm 428 00:22:07,720 --> 00:22:11,560 Speaker 1: excited about the show. Yeah, And so, actually, I'm curious 429 00:22:11,600 --> 00:22:15,200 Speaker 1: what what kind of media consumption goes on among your 430 00:22:15,520 --> 00:22:19,679 Speaker 1: among your colleagues and Congress, both Democrats and Republicans, Like, 431 00:22:19,840 --> 00:22:22,679 Speaker 1: where are they Where are they getting their information? Is 432 00:22:22,680 --> 00:22:25,359 Speaker 1: it curated for them by staff and that that, and 433 00:22:25,400 --> 00:22:27,480 Speaker 1: if it's their names in it, they're seeing it. What 434 00:22:27,520 --> 00:22:32,600 Speaker 1: are they personally scrolling? Well, certainly most members get anything 435 00:22:32,680 --> 00:22:36,480 Speaker 1: that's written or said about them from from staff. But 436 00:22:36,520 --> 00:22:39,679 Speaker 1: then I think it's generational. I mean, there are some 437 00:22:39,760 --> 00:22:42,760 Speaker 1: of the members who've been here a while who still 438 00:22:42,800 --> 00:22:47,160 Speaker 1: read the New York Times, the Washington Post, may read 439 00:22:47,200 --> 00:22:51,240 Speaker 1: their hometown paper every day. Then there are others of 440 00:22:51,359 --> 00:22:56,320 Speaker 1: us who may scroll through our Twitter feed, scroll through 441 00:22:56,359 --> 00:23:00,359 Speaker 1: social media, go to different websites to get us sense 442 00:23:00,400 --> 00:23:03,480 Speaker 1: of what's going on, and of course check independent media 443 00:23:03,520 --> 00:23:08,040 Speaker 1: as well. It's a good question. I'm always curious about 444 00:23:08,040 --> 00:23:10,359 Speaker 1: that because the idea of Donald Trump sitting in the 445 00:23:10,400 --> 00:23:13,879 Speaker 1: Oval office scrolling through his Twitter mentions, it was just 446 00:23:13,920 --> 00:23:18,359 Speaker 1: such a remarkable image, but almost certainly a real one. Congressman, 447 00:23:18,400 --> 00:23:21,560 Speaker 1: do you find yourself looking at what people are saying 448 00:23:21,600 --> 00:23:25,879 Speaker 1: in your Twitter mentions? Too? Sure? I mean, not like 449 00:23:25,960 --> 00:23:29,720 Speaker 1: Donald Trump, not. But you know, the reason is because 450 00:23:30,440 --> 00:23:32,480 Speaker 1: it gives you a sense of criticism. It gives you 451 00:23:32,520 --> 00:23:37,760 Speaker 1: a sense of perspectives of those who disagree. And I 452 00:23:38,080 --> 00:23:42,640 Speaker 1: find it helpful and sometimes I'll engage to the consternation 453 00:23:42,720 --> 00:23:47,760 Speaker 1: of people on my team. But I do look at it, 454 00:23:48,119 --> 00:23:50,360 Speaker 1: you know, maybe in the morning or in the at 455 00:23:50,480 --> 00:23:54,920 Speaker 1: night before before sleeping, and I doesn't help you sleep. 456 00:23:55,560 --> 00:23:56,880 Speaker 1: I want to I want to talk in a minute 457 00:23:56,880 --> 00:23:59,160 Speaker 1: about the big issue on Capitol Hill right now, which 458 00:23:59,160 --> 00:24:02,080 Speaker 1: is the fight over or a pipeline reform. That's the 459 00:24:02,160 --> 00:24:05,000 Speaker 1: kind of the side deal that went along with Manchiscin. 460 00:24:05,119 --> 00:24:06,880 Speaker 1: But first I want to talk about something that's lighting up, 461 00:24:07,119 --> 00:24:09,760 Speaker 1: probably your mentions a little bit. This morning. We did 462 00:24:09,800 --> 00:24:13,359 Speaker 1: an earlier segment on the New York Times investigation into 463 00:24:13,800 --> 00:24:19,200 Speaker 1: congressional stock trading. You were mentioned in that report as 464 00:24:19,240 --> 00:24:21,600 Speaker 1: not somebody who had done any stock trading yourself, but 465 00:24:21,640 --> 00:24:25,199 Speaker 1: as somebody whose wife had traded some stocks that were 466 00:24:25,280 --> 00:24:28,199 Speaker 1: under the jurisdiction of a committee that you served on. 467 00:24:28,280 --> 00:24:30,600 Speaker 1: I think one of the companies was under investigation or 468 00:24:30,600 --> 00:24:35,320 Speaker 1: potential investigation at the time. Give us give us your 469 00:24:35,760 --> 00:24:41,160 Speaker 1: response to that. To the New York Times article well 470 00:24:41,160 --> 00:24:44,800 Speaker 1: as a New York Times reporter said, my wife has 471 00:24:45,119 --> 00:24:49,040 Speaker 1: assets apart from before we were married, and it's almost 472 00:24:49,040 --> 00:24:51,920 Speaker 1: like an index fund. It's a trust that's highly diversified. 473 00:24:51,960 --> 00:24:54,719 Speaker 1: And I think the New York Times reporter said it 474 00:24:54,760 --> 00:24:57,159 Speaker 1: is like an index fund. So in mind you she 475 00:24:57,240 --> 00:24:59,960 Speaker 1: doesn't make those trades and she doesn't know about the trade. 476 00:25:00,080 --> 00:25:03,640 Speaker 1: It's an independent trust that's invested broadly. And I think 477 00:25:03,640 --> 00:25:07,480 Speaker 1: that's why there's no conflict now. I support the Bannings 478 00:25:07,760 --> 00:25:11,159 Speaker 1: Stop Act and will vote for whatever comes to the House. 479 00:25:11,240 --> 00:25:14,320 Speaker 1: But I think my case is very different. I'm just 480 00:25:14,320 --> 00:25:16,840 Speaker 1: gonna go ahead. Is it a blind trust? I mean, 481 00:25:17,240 --> 00:25:20,040 Speaker 1: why not? Why not make it a blind trust? And 482 00:25:20,119 --> 00:25:22,640 Speaker 1: is that what the best law would do? Or where 483 00:25:22,640 --> 00:25:26,919 Speaker 1: the best law you know, require particular just indexes that 484 00:25:27,400 --> 00:25:31,080 Speaker 1: members of Congress. What is the solution here? I think 485 00:25:31,080 --> 00:25:33,400 Speaker 1: there should be a prohibition on members trading. I think 486 00:25:33,400 --> 00:25:35,680 Speaker 1: when you have a case like a spouse is coming 487 00:25:35,680 --> 00:25:39,280 Speaker 1: in with independent wealth whose family is tied up with 488 00:25:39,440 --> 00:25:41,280 Speaker 1: all of this, so it doesn't just affect her, it 489 00:25:41,320 --> 00:25:45,560 Speaker 1: affects her family, her sisters, others. I think that having 490 00:25:45,760 --> 00:25:50,240 Speaker 1: a an ethics requirement that the person isn't trading themselves, 491 00:25:50,600 --> 00:25:55,199 Speaker 1: that it is highly diversified, bans any any conflicts. But 492 00:25:55,320 --> 00:25:57,440 Speaker 1: I will vote for whatever. You know, I don't get 493 00:25:57,440 --> 00:26:00,880 Speaker 1: to write the Law'll vote for whatever comes that comes there. 494 00:26:00,920 --> 00:26:04,560 Speaker 1: But I do think that in our case there is 495 00:26:04,600 --> 00:26:08,720 Speaker 1: no complaint. I think, you know, I can't be saying 496 00:26:08,920 --> 00:26:11,440 Speaker 1: beyond that there should be conflicts. I don't think I 497 00:26:11,440 --> 00:26:15,120 Speaker 1: should be telling my wife's family how to restructure their 498 00:26:15,160 --> 00:26:19,320 Speaker 1: finances other than to make sure that there is no conflict. Yeah, 499 00:26:19,400 --> 00:26:21,960 Speaker 1: I was gonna say, it's really night and day between 500 00:26:22,160 --> 00:26:25,280 Speaker 1: your case study and the example of someone like Paul Pelosi. 501 00:26:25,400 --> 00:26:28,480 Speaker 1: There's a very clear distinction there, and I wanted to 502 00:26:28,520 --> 00:26:30,880 Speaker 1: get into that a little bit. Just one more question 503 00:26:30,920 --> 00:26:33,520 Speaker 1: on this topic, because Ryan and I were discussing earlier 504 00:26:33,520 --> 00:26:35,840 Speaker 1: how the New York Times investigation kind of carved out 505 00:26:35,880 --> 00:26:37,920 Speaker 1: the Ways and Means committee by sort of throwing its 506 00:26:37,920 --> 00:26:40,639 Speaker 1: hands up in the air and saying, well, there's no 507 00:26:40,720 --> 00:26:45,000 Speaker 1: realistic way to really look into this because the information 508 00:26:45,119 --> 00:26:49,160 Speaker 1: is so general and so broad that it's very difficult 509 00:26:49,280 --> 00:26:52,400 Speaker 1: to separate and to disentangle the variables. You know, who 510 00:26:52,440 --> 00:26:55,560 Speaker 1: would have known what and how would that have influenced this, 511 00:26:55,560 --> 00:26:58,640 Speaker 1: this and that. As you mentioned, you think a blanket 512 00:26:58,640 --> 00:27:03,120 Speaker 1: prohibition on members trade is important, and safeguards for spouses 513 00:27:03,119 --> 00:27:08,760 Speaker 1: are important, and what should diversification one thing, of course, 514 00:27:08,920 --> 00:27:13,440 Speaker 1: and blind trusts something to that extent. What is the 515 00:27:13,560 --> 00:27:17,440 Speaker 1: risk so that people understand somebody who's sitting on ways 516 00:27:17,440 --> 00:27:20,639 Speaker 1: and means? For example, you've been in Congress, you kind 517 00:27:20,680 --> 00:27:23,000 Speaker 1: of know the sort of information that comes your way, 518 00:27:23,040 --> 00:27:25,320 Speaker 1: even if there is no investigation, even if you're not 519 00:27:25,400 --> 00:27:28,640 Speaker 1: on a committee, you'll probably get information. What is the risk, 520 00:27:28,680 --> 00:27:30,520 Speaker 1: you know, in other words, why do you support these 521 00:27:30,800 --> 00:27:34,480 Speaker 1: the blanket prohibition in the first place. Well, I think 522 00:27:34,520 --> 00:27:37,680 Speaker 1: there's a risk to trust and in terms of our 523 00:27:37,680 --> 00:27:43,200 Speaker 1: people sitting on committees with jurisdiction and then taking into 524 00:27:43,200 --> 00:27:47,080 Speaker 1: consideration their own stock portfolio. Of course, in my case, 525 00:27:47,240 --> 00:27:49,920 Speaker 1: I have literally been one of the only voices voting 526 00:27:49,960 --> 00:27:52,879 Speaker 1: against over spending on defense. Have taken on big farm, 527 00:27:52,960 --> 00:27:57,600 Speaker 1: I have taken on big oil, and so the idea 528 00:27:57,720 --> 00:28:01,600 Speaker 1: that a highly diversified index fond of my wife, which 529 00:28:01,600 --> 00:28:04,520 Speaker 1: he had before marriage, would have any influence on me 530 00:28:04,720 --> 00:28:07,800 Speaker 1: is refuted by actually my record, and I think there's 531 00:28:07,800 --> 00:28:10,240 Speaker 1: no conflict. I will say this though, and I say 532 00:28:10,280 --> 00:28:14,119 Speaker 1: this supporting a stock band. The big influence in Congress, 533 00:28:14,720 --> 00:28:18,960 Speaker 1: in my view, is much more campaign finance. What's actually 534 00:28:19,000 --> 00:28:22,920 Speaker 1: motivating people's policies is the fear of super pac funding, 535 00:28:23,240 --> 00:28:26,600 Speaker 1: is the fear of campaign contributions. Is the money coming 536 00:28:26,640 --> 00:28:30,480 Speaker 1: in from defense contractors, for insurance companies, from big pharma, 537 00:28:30,720 --> 00:28:34,159 Speaker 1: from special in trist lobbies. So I support this. I 538 00:28:34,160 --> 00:28:37,000 Speaker 1: think it's better to have a stock treating band than not. 539 00:28:37,440 --> 00:28:40,520 Speaker 1: But we are kidding ourselves of that is really the 540 00:28:40,560 --> 00:28:43,480 Speaker 1: issue that's going to solve Congress to care about things 541 00:28:43,560 --> 00:28:47,120 Speaker 1: like Medicare for all, a Green New Deal, pre public college, 542 00:28:47,600 --> 00:28:51,080 Speaker 1: increasing minimum wage. That is the issue of dark money 543 00:28:51,320 --> 00:28:54,600 Speaker 1: in politics. Yeah, it just scratches the surface of that problem. 544 00:28:54,720 --> 00:28:57,840 Speaker 1: And what I've heard from some members of Congress, and 545 00:28:57,840 --> 00:29:00,360 Speaker 1: I'm curious if you've heard this as well, well, is 546 00:29:00,400 --> 00:29:03,720 Speaker 1: that there's sort of an unspoken arrangement on Capitol Hill 547 00:29:03,760 --> 00:29:06,280 Speaker 1: now that says that where leadership says, look, we cannot 548 00:29:06,640 --> 00:29:10,680 Speaker 1: politically vote for an increase in salaries. You will we 549 00:29:10,720 --> 00:29:13,600 Speaker 1: will get crushed at the at the ballot box if 550 00:29:13,640 --> 00:29:16,680 Speaker 1: we you know, the thirty second ad rights itself. This 551 00:29:16,720 --> 00:29:20,720 Speaker 1: person went and gave voted themselves a raise. But look, 552 00:29:20,920 --> 00:29:24,040 Speaker 1: and the unspoken deal is, look, you're gonna make You're 553 00:29:24,080 --> 00:29:26,080 Speaker 1: going to outperform the market because of the access that 554 00:29:26,120 --> 00:29:29,800 Speaker 1: you have to information. Is that a is that unspoken 555 00:29:29,880 --> 00:29:32,840 Speaker 1: arrangement kind of widely understood to be the thing that's 556 00:29:32,880 --> 00:29:35,680 Speaker 1: in place, and is what's causing the resistance because now 557 00:29:35,680 --> 00:29:37,520 Speaker 1: it's like, oh, we're not gonna get a raise and 558 00:29:37,560 --> 00:29:40,960 Speaker 1: also we're going to lose out on this. No, because 559 00:29:41,000 --> 00:29:44,560 Speaker 1: I don't think most people beat the market. I haven't 560 00:29:44,560 --> 00:29:47,400 Speaker 1: looked at my Actually, I think usually being in an 561 00:29:47,400 --> 00:29:52,480 Speaker 1: index fun way out performs the people picking individual stock. 562 00:29:52,640 --> 00:29:56,239 Speaker 1: So I don't I don't don't think that's what it is. 563 00:29:56,320 --> 00:29:58,760 Speaker 1: I think we should have a vote. I mean I've 564 00:29:58,800 --> 00:30:02,840 Speaker 1: been I was an early uh CO sponsor on the bill. 565 00:30:03,560 --> 00:30:07,240 Speaker 1: I think there are different cases of complex cases, I 566 00:30:07,240 --> 00:30:09,960 Speaker 1: mean in terms of spouses and how that should be handled, 567 00:30:10,040 --> 00:30:13,080 Speaker 1: or people who have independent careers. Let's say you could 568 00:30:13,120 --> 00:30:16,080 Speaker 1: say someone is a spouse has an independent career, but 569 00:30:16,120 --> 00:30:17,920 Speaker 1: we can resolve those and there should be a bill. 570 00:30:17,960 --> 00:30:20,479 Speaker 1: And no bill is going to be perfect, I mean 571 00:30:20,520 --> 00:30:23,680 Speaker 1: it's not, but overall we should we should pass something. 572 00:30:24,400 --> 00:30:28,440 Speaker 1: But I really don't think honestly that it is sort 573 00:30:28,480 --> 00:30:31,320 Speaker 1: of greed that is holding this back. It may just 574 00:30:31,320 --> 00:30:33,880 Speaker 1: be that people don't see the urgency of how much 575 00:30:33,920 --> 00:30:36,960 Speaker 1: of an issue this is with the public. So on 576 00:30:37,280 --> 00:30:42,760 Speaker 1: the question of NEPA reform of pipeline reform, uh where 577 00:30:42,840 --> 00:30:45,680 Speaker 1: where where do you stand on on this kind of 578 00:30:45,720 --> 00:30:48,960 Speaker 1: game of chicken that's going on between progressives and mansion 579 00:30:49,120 --> 00:30:52,280 Speaker 1: and House leadership. Should should this be broken into a 580 00:30:52,320 --> 00:30:55,040 Speaker 1: separate bill? And if it's not, would you would you 581 00:30:55,120 --> 00:30:58,560 Speaker 1: vote down the the the c are the continuing resolution 582 00:30:59,360 --> 00:31:02,360 Speaker 1: in order to opt this pipeline reform from going forward. 583 00:31:03,920 --> 00:31:06,400 Speaker 1: I would vote it down. And it's not just pipeline 584 00:31:06,440 --> 00:31:09,440 Speaker 1: perform it's a gutting of ANPA. I mean you are 585 00:31:09,480 --> 00:31:13,840 Speaker 1: basically saying you can't have any community have more claims 586 00:31:13,840 --> 00:31:15,600 Speaker 1: after one hundred and fifty days. Well, a lot of 587 00:31:15,600 --> 00:31:17,440 Speaker 1: times it takes far more than one hundred and fifty 588 00:31:17,480 --> 00:31:20,400 Speaker 1: days for a community to figure out the negative impact. 589 00:31:20,640 --> 00:31:23,560 Speaker 1: You're going to allow the President and the executive branch 590 00:31:23,600 --> 00:31:30,040 Speaker 1: to permit and help create fossil fuel infrastructure where communities, 591 00:31:30,040 --> 00:31:33,560 Speaker 1: frontline communities had already won. We're winning ninety percent, and 592 00:31:33,560 --> 00:31:35,680 Speaker 1: now the executive branch is going to get to overrule 593 00:31:36,320 --> 00:31:40,160 Speaker 1: judicial ruling. So this is not the permitting where we need. 594 00:31:40,200 --> 00:31:43,280 Speaker 1: We can have a thoughtful conversation about how we build 595 00:31:43,320 --> 00:31:47,000 Speaker 1: more clean energy battery plans, solar and wind in this country, 596 00:31:47,200 --> 00:31:51,200 Speaker 1: and that may be challenges in terms of the impact 597 00:31:51,280 --> 00:31:54,280 Speaker 1: on that on endangered species, and then we can discuss 598 00:31:54,320 --> 00:31:57,240 Speaker 1: what the trade off is between building green and negative 599 00:31:57,240 --> 00:32:00,400 Speaker 1: impacts of doing that. And I am fordable looking at 600 00:32:00,400 --> 00:32:02,600 Speaker 1: a healthy permitting reform to be able to build green, 601 00:32:02,960 --> 00:32:05,280 Speaker 1: but I'm not for a permitting reform that's going to 602 00:32:05,280 --> 00:32:07,880 Speaker 1: allow us to build more fossil fuel infrastructure. This is 603 00:32:07,920 --> 00:32:11,080 Speaker 1: not the permitting reform we need. What is your sense 604 00:32:11,120 --> 00:32:14,080 Speaker 1: of where, like many people on the House side might 605 00:32:14,160 --> 00:32:18,520 Speaker 1: stand when it comes to voting against the CR in 606 00:32:18,520 --> 00:32:20,880 Speaker 1: this case, do you think that there would be a 607 00:32:21,240 --> 00:32:23,160 Speaker 1: threat to the point where people have to come to 608 00:32:23,200 --> 00:32:25,239 Speaker 1: the table. Do you get the sense that others are 609 00:32:25,240 --> 00:32:29,720 Speaker 1: willing to vote against it? Well, I know that Bernie 610 00:32:29,800 --> 00:32:31,840 Speaker 1: Sanders has said he would vote against it. I said 611 00:32:31,880 --> 00:32:33,600 Speaker 1: I would vote against it. I think other people have 612 00:32:33,640 --> 00:32:35,640 Speaker 1: said they prefer a clean CR. I don't know how 613 00:32:35,680 --> 00:32:38,000 Speaker 1: many people have come on record to say, no, we 614 00:32:38,080 --> 00:32:41,520 Speaker 1: won't vote for this, but they should because the challenge 615 00:32:41,560 --> 00:32:44,120 Speaker 1: is not those who are not going to vote for 616 00:32:44,880 --> 00:32:47,760 Speaker 1: a CR with which is going to gut environmental laws. 617 00:32:47,800 --> 00:32:50,800 Speaker 1: The challenges Why aren't we getting a clean CR. That's 618 00:32:50,800 --> 00:32:52,880 Speaker 1: the problem of shutting down government. So I think we 619 00:32:52,880 --> 00:32:55,000 Speaker 1: should be very clear that we will vote for a 620 00:32:55,000 --> 00:32:57,680 Speaker 1: clean CR to keep government open. But if they don't 621 00:32:57,680 --> 00:33:00,800 Speaker 1: send us a clean SAR, that's where the blame lies 622 00:33:00,840 --> 00:33:02,920 Speaker 1: for shutting down government. And I think we would then 623 00:33:02,960 --> 00:33:06,160 Speaker 1: get a clean CR. Yeah, yeah, I think so. I 624 00:33:06,200 --> 00:33:09,560 Speaker 1: don't think that Democrat Democratic leadership would shut down the 625 00:33:09,600 --> 00:33:13,040 Speaker 1: government over this heading into the midterms. Is that your sense, 626 00:33:13,080 --> 00:33:15,960 Speaker 1: I just can't imagine them doing it. I can, and 627 00:33:16,040 --> 00:33:18,360 Speaker 1: I think this is a case where the person who 628 00:33:18,880 --> 00:33:21,680 Speaker 1: links first is the person who is not going to 629 00:33:21,760 --> 00:33:24,520 Speaker 1: get their way. And look and Ron, you know this. 630 00:33:24,680 --> 00:33:27,440 Speaker 1: I've been pretty reasonable in the Progressive Caucus. I'm the 631 00:33:27,560 --> 00:33:30,240 Speaker 1: the one who's worked with Senator Manchuld to try to 632 00:33:30,280 --> 00:33:33,760 Speaker 1: get a deal. I've been the person who said let's 633 00:33:33,920 --> 00:33:37,720 Speaker 1: get something done for infrastructure. I've been with chips, I 634 00:33:37,800 --> 00:33:40,440 Speaker 1: worked with Republicans and Democrats on that. So I'm not 635 00:33:40,600 --> 00:33:43,200 Speaker 1: one of the a bomb thrower, even though I'm very 636 00:33:43,240 --> 00:33:45,840 Speaker 1: strongly progressive on medicure for all and free college and 637 00:33:45,880 --> 00:33:48,320 Speaker 1: fifteen dollars wage. And I'm saying this is the time 638 00:33:48,600 --> 00:33:51,160 Speaker 1: that we have the leverage that we should be very 639 00:33:51,200 --> 00:33:53,640 Speaker 1: clear and bold and say we're not going to vote 640 00:33:53,640 --> 00:33:56,479 Speaker 1: for it. And if thirty forty members said that, I 641 00:33:56,560 --> 00:33:58,200 Speaker 1: just don't think it's going to be part of the deal. 642 00:33:58,400 --> 00:34:00,440 Speaker 1: And we could say we're open to a thoughtful approach 643 00:34:00,640 --> 00:34:03,640 Speaker 1: next Congress, but we're not going to be rushed into 644 00:34:03,680 --> 00:34:07,360 Speaker 1: doing something that isn't going to end up increasing battery production, 645 00:34:07,440 --> 00:34:09,759 Speaker 1: solar production, wind production, but it is going to be 646 00:34:09,880 --> 00:34:13,759 Speaker 1: increasing fossil fuel infrastructure. This is not the conversation that 647 00:34:14,160 --> 00:34:16,960 Speaker 1: we need on permitting reform. I'm really interested to see 648 00:34:17,000 --> 00:34:18,719 Speaker 1: what happens with us, because I think it is true 649 00:34:18,719 --> 00:34:21,719 Speaker 1: that progressives have the leverage not to blink, and we'll 650 00:34:21,719 --> 00:34:24,160 Speaker 1: see if they do it well, we'll see Kyres and Conna. 651 00:34:24,440 --> 00:34:26,360 Speaker 1: Really appreciate you joining us on this first one. I 652 00:34:26,440 --> 00:34:29,160 Speaker 1: appreciate it always. I'm looking forward to your show, and 653 00:34:29,200 --> 00:34:32,719 Speaker 1: I really appreciate your voice. Thank you so much, sir. 654 00:34:33,040 --> 00:34:39,560 Speaker 1: Thank you. Hi. I'm Matt Stoler, author of monopoly focused 655 00:34:39,600 --> 00:34:42,520 Speaker 1: newsletter Big and an Answer, Trust policy analyst. Now I 656 00:34:42,520 --> 00:34:45,400 Speaker 1: have a great segment for you today on this Big Breakdown. 657 00:34:45,760 --> 00:34:48,560 Speaker 1: I'm going to talk about credit cards and the payment 658 00:34:48,560 --> 00:34:51,080 Speaker 1: system in the US, how we pay for things, which 659 00:34:51,320 --> 00:34:53,440 Speaker 1: when you compare it to almost everywhere else in the 660 00:34:53,440 --> 00:34:57,200 Speaker 1: world pretty much sucks. And I'm going to explain how 661 00:34:57,280 --> 00:34:59,040 Speaker 1: part of it has to do with those nifty reward 662 00:34:59,120 --> 00:35:02,600 Speaker 1: points for credit card and why they're a little bit 663 00:35:02,640 --> 00:35:05,680 Speaker 1: of a scam. There are means for credit card companies 664 00:35:05,680 --> 00:35:09,080 Speaker 1: and banks to maintain market power and overcharge us, even 665 00:35:09,120 --> 00:35:12,120 Speaker 1: though they look kind of cool when you're a consumer. Okay, 666 00:35:12,160 --> 00:35:14,040 Speaker 1: so let's start with how you pay for things in 667 00:35:14,080 --> 00:35:16,719 Speaker 1: other countries. I'm going to pick a country that is 668 00:35:16,760 --> 00:35:20,080 Speaker 1: not typically known for its high tech sector, for good government, 669 00:35:20,200 --> 00:35:22,160 Speaker 1: for its ease of use in paying for things. I'm 670 00:35:22,160 --> 00:35:26,040 Speaker 1: going to pick the country of Brazil, tropical paradise, but 671 00:35:26,360 --> 00:35:30,080 Speaker 1: tends to be considered corrupt. However, in twenty twenty, the 672 00:35:30,120 --> 00:35:33,959 Speaker 1: Brazilian Central Bank did something remarkable. They introduced something called 673 00:35:34,040 --> 00:35:37,440 Speaker 1: an app called Peaks, which lets anyone pay for things 674 00:35:37,520 --> 00:35:41,680 Speaker 1: using a phone, basically for free. Now, it was a 675 00:35:41,719 --> 00:35:45,000 Speaker 1: tremendous success, and today Peaks is not only more heavily 676 00:35:45,040 --> 00:35:47,920 Speaker 1: used by than credit cards and debit cards in Brazil, 677 00:35:48,160 --> 00:35:50,960 Speaker 1: but it's so popular that the President of Brazil, Balsonaro, 678 00:35:51,280 --> 00:35:55,240 Speaker 1: is running ads for his re election campaign showcasing the app. 679 00:35:55,680 --> 00:35:59,719 Speaker 1: Imagine that it's a political success story, so powerful that 680 00:35:59,760 --> 00:36:02,600 Speaker 1: the resident of Brazil is saying, I got you a 681 00:36:02,719 --> 00:36:05,680 Speaker 1: payments app, and that's why you should re elect me. 682 00:36:06,600 --> 00:36:09,200 Speaker 1: Beggars in the street actually are getting more money from 683 00:36:09,239 --> 00:36:12,400 Speaker 1: Peaks than cash. It's that convenient and that cheap. Now, 684 00:36:12,960 --> 00:36:16,280 Speaker 1: I picked Brazil. But it's not just Brazil. Kenya, for example, 685 00:36:16,320 --> 00:36:18,359 Speaker 1: has had a mobile payment system that is better than 686 00:36:18,360 --> 00:36:22,279 Speaker 1: the US system called Impasia for almost ten years. India 687 00:36:22,480 --> 00:36:24,479 Speaker 1: has a real time payment system that is as good 688 00:36:24,560 --> 00:36:27,080 Speaker 1: or better than that. In Brazil and across Europe, the 689 00:36:27,120 --> 00:36:29,799 Speaker 1: idea of writing a check or using a credit card 690 00:36:29,800 --> 00:36:33,719 Speaker 1: with a signature is just plain weird. It's anachronistic. It's 691 00:36:33,760 --> 00:36:36,480 Speaker 1: like living in the nineteen seventies. But in the US 692 00:36:37,239 --> 00:36:41,400 Speaker 1: our system is slow, it's expensive. If you're a merchant, 693 00:36:41,400 --> 00:36:44,920 Speaker 1: you have to buy you a payment processing machine. So 694 00:36:44,960 --> 00:36:49,840 Speaker 1: it's bulky. It's just bad. Okay, So this begs a question. 695 00:36:49,920 --> 00:36:51,680 Speaker 1: You know, we have high technology in this country. Why 696 00:36:51,760 --> 00:36:54,440 Speaker 1: haven't we moved to a better system. Well, the reason 697 00:36:54,680 --> 00:36:57,200 Speaker 1: there's a number of reasons for it. One is we're 698 00:36:57,239 --> 00:36:59,200 Speaker 1: just used to credit cards. We built that high tech 699 00:36:59,200 --> 00:37:02,360 Speaker 1: system which was high time in the sixties. But more importantly, 700 00:37:02,680 --> 00:37:06,280 Speaker 1: credit cards. This whole system in the US is insanely 701 00:37:06,400 --> 00:37:11,239 Speaker 1: profitable for banks and credit card issuers, roughly four and 702 00:37:11,239 --> 00:37:13,319 Speaker 1: a half times more lucrative for the lender than any 703 00:37:13,320 --> 00:37:15,880 Speaker 1: other form of credit. And if you add up the 704 00:37:16,239 --> 00:37:19,760 Speaker 1: two main streams of revenue of credit cards. The industry 705 00:37:19,800 --> 00:37:22,440 Speaker 1: generates about two hundred and fifty seven billion dollars in 706 00:37:22,520 --> 00:37:26,120 Speaker 1: revenue every single year. That's seven hundred and eighty dollars 707 00:37:26,120 --> 00:37:28,759 Speaker 1: for each person in America, I mean, man, woman, and 708 00:37:28,880 --> 00:37:31,560 Speaker 1: child every year, and that is a lot of revenue 709 00:37:31,600 --> 00:37:33,840 Speaker 1: to protect. Now, of course, it's not like they're just 710 00:37:33,920 --> 00:37:37,200 Speaker 1: generating this revenue. They're getting this revenue from us, So 711 00:37:37,640 --> 00:37:39,680 Speaker 1: it's not like, oh, this is a job creating thing. No, 712 00:37:39,760 --> 00:37:42,920 Speaker 1: it's just kind of there get a lot of revenue, 713 00:37:43,000 --> 00:37:44,840 Speaker 1: whereas in other countries people don't have to pay for 714 00:37:44,880 --> 00:37:47,400 Speaker 1: this because it's kind of done more efficiently by the 715 00:37:47,400 --> 00:37:52,280 Speaker 1: government in many cases. Okay, so who protects this revenue 716 00:37:52,320 --> 00:37:55,600 Speaker 1: stream and how does the American payment system work. Let's 717 00:37:55,640 --> 00:37:58,800 Speaker 1: start with the basics. Credit cards are two products combined 718 00:37:58,840 --> 00:38:01,360 Speaker 1: into one. The first is access to a global payments 719 00:38:01,360 --> 00:38:04,560 Speaker 1: network that lets a customer and a merchant transact. You 720 00:38:04,640 --> 00:38:08,480 Speaker 1: know these networks. The payment network is super useful is 721 00:38:08,600 --> 00:38:11,800 Speaker 1: MasterCard and Visa. You can pay it millions of establishment 722 00:38:11,800 --> 00:38:13,839 Speaker 1: around the world. You buy a line, you often don't 723 00:38:13,840 --> 00:38:16,680 Speaker 1: have to convert to local currency. If you're a merchant, 724 00:38:17,480 --> 00:38:19,600 Speaker 1: you can get paid by hundreds of millions of people, 725 00:38:19,840 --> 00:38:23,160 Speaker 1: and for consumers it seems mostly free. All you need 726 00:38:23,320 --> 00:38:25,879 Speaker 1: is to carry around a piece of plastic. But it's 727 00:38:25,880 --> 00:38:29,319 Speaker 1: not free. In America, merchants have to pay between one 728 00:38:29,320 --> 00:38:31,040 Speaker 1: and a half to three and a half percent to 729 00:38:31,120 --> 00:38:34,200 Speaker 1: middleman on every single transaction, sometimes more actually, and that 730 00:38:34,239 --> 00:38:37,560 Speaker 1: amounts to between sixty one billion dollars to one hundred 731 00:38:37,560 --> 00:38:40,360 Speaker 1: and thirty seven billion dollars a year, and that amount 732 00:38:40,360 --> 00:38:43,040 Speaker 1: of money makes everything that you buy a little bit 733 00:38:43,120 --> 00:38:48,480 Speaker 1: more expensive. These swipe fees, which go not only to Visa, MasterCard, 734 00:38:48,600 --> 00:38:51,600 Speaker 1: or American Express that's the third one, but also to 735 00:38:51,680 --> 00:38:55,440 Speaker 1: issuing banks and processors, are essentially a private sales tax. 736 00:38:55,920 --> 00:38:59,640 Speaker 1: Now Visa and MasterCard controls seventy percent of the market. 737 00:39:00,080 --> 00:39:03,600 Speaker 1: Last year, credit card networks raise their swipe fee prices 738 00:39:03,640 --> 00:39:06,839 Speaker 1: to merchants by twenty four percent. And I say that 739 00:39:07,360 --> 00:39:09,960 Speaker 1: and at that amount, and that's important because it shows 740 00:39:10,360 --> 00:39:14,400 Speaker 1: that they have immense market power. You can raise prices 741 00:39:14,440 --> 00:39:16,640 Speaker 1: massively even though you're already making money. It means that 742 00:39:16,640 --> 00:39:20,000 Speaker 1: your customers really don't have other options. So where does 743 00:39:20,040 --> 00:39:23,120 Speaker 1: this market power come from. Well, merchants, even big ones, 744 00:39:23,360 --> 00:39:27,839 Speaker 1: cannot afford to not accept Visa and MasterCard so they 745 00:39:27,920 --> 00:39:31,120 Speaker 1: have to in turn accept whatever terms they are given 746 00:39:31,239 --> 00:39:34,919 Speaker 1: by Visa and MasterCard to accept their cards. Now, one 747 00:39:35,000 --> 00:39:38,200 Speaker 1: key to this market power are credit card rewards, which 748 00:39:38,200 --> 00:39:40,239 Speaker 1: are the points you get when you spend money through 749 00:39:40,360 --> 00:39:43,480 Speaker 1: a certain card. And I'll get back to why that 750 00:39:43,520 --> 00:39:45,399 Speaker 1: makes it so that merchants have to accept these cards 751 00:39:45,440 --> 00:39:50,080 Speaker 1: in a second. Okay, these rewards recycle about twenty billion 752 00:39:50,120 --> 00:39:53,279 Speaker 1: dollars a year, mostly going to high income customers and 753 00:39:53,320 --> 00:39:56,839 Speaker 1: coming from the poor. So what's happening here is that 754 00:39:58,080 --> 00:40:01,280 Speaker 1: these swipe fees that merchants pay, some of that money, 755 00:40:01,480 --> 00:40:03,360 Speaker 1: not the majority of it, but some of that money 756 00:40:03,400 --> 00:40:05,800 Speaker 1: is returned to customers in the form of reward fees. 757 00:40:05,960 --> 00:40:09,399 Speaker 1: But actually it's a recycling mechanism that taxes the poor 758 00:40:09,640 --> 00:40:12,560 Speaker 1: and rewards the wealthy. This is from a quote from 759 00:40:12,560 --> 00:40:15,080 Speaker 1: the Boston Fed, which says that the lowest income households 760 00:40:15,239 --> 00:40:17,240 Speaker 1: pay about twenty one dollars a year in the highest 761 00:40:17,280 --> 00:40:20,120 Speaker 1: income households receive about seven hundred and fifty billion dollars 762 00:40:20,160 --> 00:40:25,480 Speaker 1: a year from the system. It's a wealth inequality generating machine. Now, naturally, 763 00:40:25,560 --> 00:40:27,640 Speaker 1: the credit card networks in banks, they keep a lot 764 00:40:27,640 --> 00:40:29,640 Speaker 1: of the swipe fee money, but they pass enough of 765 00:40:29,680 --> 00:40:34,040 Speaker 1: it back to US card holders to make cardholders more 766 00:40:34,080 --> 00:40:38,040 Speaker 1: loyal to our credit cards. Now, almost everyone would be 767 00:40:38,040 --> 00:40:40,279 Speaker 1: better off if swipe fees were lower than they are, 768 00:40:41,040 --> 00:40:43,960 Speaker 1: you know, if this whole transfer mechanism didn't happen. But 769 00:40:44,000 --> 00:40:47,479 Speaker 1: that's not obvious to users of credit cards, who see 770 00:40:47,480 --> 00:40:51,160 Speaker 1: a direct cash benefit reward benefit, and so that ensures 771 00:40:51,200 --> 00:40:54,480 Speaker 1: that they will continue to use their card and therefore 772 00:40:54,520 --> 00:40:58,239 Speaker 1: that merchants will have to accept their cards. Merchants are 773 00:40:58,320 --> 00:41:01,680 Speaker 1: largely powerless in this arrangement. If you don't accept Visa 774 00:41:02,120 --> 00:41:06,400 Speaker 1: or MasterCard, then a lot of customers just won't be 775 00:41:06,440 --> 00:41:09,000 Speaker 1: able to pay for things at your store or your establishment. 776 00:41:09,719 --> 00:41:14,960 Speaker 1: So Visa, American Express, and MasterCard even prevent competition between 777 00:41:15,000 --> 00:41:18,000 Speaker 1: the three networks. They have what are called anti steering 778 00:41:18,040 --> 00:41:21,360 Speaker 1: provisions in their contracts with merchants, so merchants are not 779 00:41:21,440 --> 00:41:24,840 Speaker 1: even allowed to distinguish between different cards to their customers. 780 00:41:24,960 --> 00:41:27,440 Speaker 1: It's why you don't see signs that say use Visa 781 00:41:27,800 --> 00:41:30,839 Speaker 1: and get a discount in local stores, or you don't 782 00:41:30,880 --> 00:41:33,680 Speaker 1: see the credit card fee broken out separately. This is 783 00:41:34,239 --> 00:41:36,920 Speaker 1: even though Visa's swipe fees are actually cheaper than American 784 00:41:36,960 --> 00:41:39,840 Speaker 1: Express they're not allowed to say that. Now, such a practice, 785 00:41:39,840 --> 00:41:43,560 Speaker 1: these anti steering provisions should be illegal as anti trust violations, 786 00:41:43,560 --> 00:41:45,200 Speaker 1: but they are not. In fact, there was a big 787 00:41:45,239 --> 00:41:48,120 Speaker 1: anti trust case, a very important case, and after years 788 00:41:48,120 --> 00:41:51,799 Speaker 1: of wrangling, in twenty eighteen, the Supreme Court basically got 789 00:41:51,800 --> 00:41:56,359 Speaker 1: it anti trust law and legalized this particular practice. Now. 790 00:41:56,480 --> 00:41:59,560 Speaker 1: The second revenue stream for credit cards comes from credit 791 00:41:59,560 --> 00:42:02,200 Speaker 1: products that allows a consumer to take out a short 792 00:42:02,280 --> 00:42:05,520 Speaker 1: term loan by carrying a monthly balance. There's value here. 793 00:42:05,640 --> 00:42:08,759 Speaker 1: Sometimes you do need a short loan. It's convenient, but 794 00:42:08,880 --> 00:42:12,600 Speaker 1: Americans overpay dramatically for the privilege, roughly one hundred and 795 00:42:12,600 --> 00:42:15,279 Speaker 1: twenty billion dollars a year in total. Some of these 796 00:42:15,560 --> 00:42:18,400 Speaker 1: this overpayment is in the form of fees like annual fees, 797 00:42:18,440 --> 00:42:22,160 Speaker 1: fees for cash advances and balance transfers, rebates, minimum finance charges, 798 00:42:22,239 --> 00:42:24,840 Speaker 1: over the limit fees, late payment charges, and so on 799 00:42:24,920 --> 00:42:27,600 Speaker 1: and so forth. In this part of the industry, as 800 00:42:27,680 --> 00:42:30,440 Speaker 1: with swipe fees, there is also a market power at work. 801 00:42:31,280 --> 00:42:34,080 Speaker 1: That's what happens when people are overpaying. It's because there's 802 00:42:34,080 --> 00:42:37,160 Speaker 1: a lack of competition. There's something wrong with the market. Now. 803 00:42:37,200 --> 00:42:39,280 Speaker 1: Since two thousand and five, there have been six firms 804 00:42:39,280 --> 00:42:42,800 Speaker 1: who control roughly two thirds of total balances. JP Morgan 805 00:42:42,880 --> 00:42:46,120 Speaker 1: City Bank, Bank of America, Capital One, Discover an American Express. 806 00:42:46,320 --> 00:42:48,239 Speaker 1: Now I'm going to show you a sort of complicated chart, 807 00:42:48,280 --> 00:42:50,759 Speaker 1: but it's basically the profit margin for credit cards. And 808 00:42:50,800 --> 00:42:53,720 Speaker 1: you see it has gone way up since twenty eleven. 809 00:42:54,400 --> 00:42:57,319 Speaker 1: According to the Consumer Financial Protection Bureau, which is one 810 00:42:57,320 --> 00:43:00,799 Speaker 1: of our bank regulators, from twenty fifteen to nineteen, the 811 00:43:00,920 --> 00:43:03,759 Speaker 1: average assessed interest rate on credit cards increased by more 812 00:43:03,760 --> 00:43:06,440 Speaker 1: than twenty percent. So that's from thirteen point seven percent 813 00:43:06,440 --> 00:43:08,560 Speaker 1: to sixteen point nine percent. And this was when the 814 00:43:08,600 --> 00:43:10,760 Speaker 1: prime rate, which is linked to what the Federal Reserve 815 00:43:11,160 --> 00:43:13,759 Speaker 1: gives to Wall Street in terms of their what Wall 816 00:43:13,760 --> 00:43:17,280 Speaker 1: Street can borrow up, went up by just two point 817 00:43:17,280 --> 00:43:19,960 Speaker 1: twenty five percent. So that's what happens when there's no 818 00:43:20,160 --> 00:43:24,160 Speaker 1: competition for borrowing, just the the interest rate and fees 819 00:43:24,200 --> 00:43:26,480 Speaker 1: go up. Now how does this work, Well, there are 820 00:43:26,480 --> 00:43:29,359 Speaker 1: a number of mechanism mechanisms that credit card banks use 821 00:43:29,400 --> 00:43:32,480 Speaker 1: to block competition and get away with such a high margin. 822 00:43:32,880 --> 00:43:36,800 Speaker 1: So first, some banks withhold information to credit bureaus about 823 00:43:36,800 --> 00:43:40,359 Speaker 1: borrow repayments, which makes it hard for competitors to try 824 00:43:40,400 --> 00:43:43,960 Speaker 1: to lure those customers away with better offers. So second, 825 00:43:43,960 --> 00:43:46,439 Speaker 1: it's actually hard to get the price of credit card 826 00:43:46,440 --> 00:43:49,800 Speaker 1: interest rates. You often have to apply to get that price, 827 00:43:50,040 --> 00:43:52,120 Speaker 1: and that means when you apply for a credit card, 828 00:43:52,120 --> 00:43:54,560 Speaker 1: you get a credit check which reduces your credit score. 829 00:43:54,760 --> 00:43:58,320 Speaker 1: So shopping across offers just doesn't make sense. What happens 830 00:43:58,400 --> 00:44:01,920 Speaker 1: is consumers look at reward and annual fees, which is 831 00:44:01,960 --> 00:44:04,840 Speaker 1: what credit card banks want them to look at, instead 832 00:44:04,920 --> 00:44:09,279 Speaker 1: of interest rates, which is what matters. So it's just 833 00:44:09,320 --> 00:44:11,839 Speaker 1: hard to get the price. Now. Third, it's hard to 834 00:44:11,880 --> 00:44:15,200 Speaker 1: refine finance a credit card balance and switch cards. And fourth, 835 00:44:15,480 --> 00:44:17,480 Speaker 1: credit card banks use sort of a lot of hidden 836 00:44:17,520 --> 00:44:20,920 Speaker 1: fees that are called junk fees. So for example, fourteen 837 00:44:20,960 --> 00:44:24,640 Speaker 1: billion dollars in late fee penalties alone in twenty nineteen, 838 00:44:24,880 --> 00:44:27,360 Speaker 1: especially on people with worse credit. Now, I could go 839 00:44:27,440 --> 00:44:29,520 Speaker 1: on and on about the problems here, the problems with 840 00:44:29,560 --> 00:44:32,080 Speaker 1: credit cards and payments. There's all sorts of surveillance issues 841 00:44:32,239 --> 00:44:34,920 Speaker 1: and issues with who needs be some MasterCard decide to 842 00:44:35,000 --> 00:44:37,680 Speaker 1: kick out of the payment system, do process questions. But 843 00:44:37,719 --> 00:44:40,680 Speaker 1: there are even monetary policy consequences. So for instance, when 844 00:44:40,719 --> 00:44:42,400 Speaker 1: we hear in the news that the Federal Reserve is 845 00:44:42,920 --> 00:44:46,319 Speaker 1: cutting or lowering interest rates. What they don't say is 846 00:44:46,360 --> 00:44:49,759 Speaker 1: that it is interest rates for Wall Street. You and 847 00:44:49,800 --> 00:44:52,560 Speaker 1: I with credit cards do not actually get charged less 848 00:44:52,600 --> 00:44:55,680 Speaker 1: money when interest rates go down. If there were competition, 849 00:44:55,800 --> 00:44:58,480 Speaker 1: we would because there's a market for money. But there 850 00:44:58,520 --> 00:45:01,359 Speaker 1: isn't competition, so the credit card banks can just sort 851 00:45:01,400 --> 00:45:03,799 Speaker 1: of keep the prices high. Now, when interest rates go up, 852 00:45:03,840 --> 00:45:06,440 Speaker 1: of course they raise their interest rates, but they have 853 00:45:06,520 --> 00:45:08,719 Speaker 1: market power. Now, the good news here is that none 854 00:45:08,760 --> 00:45:11,400 Speaker 1: of this is inevitable. It's all fixable, and there is 855 00:45:11,480 --> 00:45:16,080 Speaker 1: actually policy movement. So Senator Dick Durbin, who's a Democrat, 856 00:45:16,200 --> 00:45:19,280 Speaker 1: along with Republican Senator Roger Marshall, just released a bill 857 00:45:19,360 --> 00:45:22,440 Speaker 1: to foster more competition among credit card networks. So that's 858 00:45:22,440 --> 00:45:24,920 Speaker 1: on the merchant side, and the politics here is not 859 00:45:25,000 --> 00:45:28,799 Speaker 1: unstoppable either. Every merchant in the country, from firms like 860 00:45:28,880 --> 00:45:32,160 Speaker 1: Walmart and Amazon to the small merchants, are angry about 861 00:45:32,280 --> 00:45:34,960 Speaker 1: excess fees that they must pay. So the politics here 862 00:45:35,000 --> 00:45:39,200 Speaker 1: are not actually insurmountable. Also, bank regulators at the Consumer 863 00:45:39,239 --> 00:45:46,400 Speaker 1: Financial Protection Bureau are investigating these practices, and they're asking 864 00:45:46,440 --> 00:45:50,719 Speaker 1: the six big credit card banks for information about potentially 865 00:45:50,880 --> 00:45:53,919 Speaker 1: unfair practices. They're also using their authority to block junk 866 00:45:53,920 --> 00:45:56,719 Speaker 1: fees by banks and considering ways to make it easier 867 00:45:56,800 --> 00:46:00,879 Speaker 1: to switch credit cards. This is having good, good consequences. 868 00:46:00,880 --> 00:46:03,239 Speaker 1: I found a story from bank Rate sort of showing that, 869 00:46:03,520 --> 00:46:06,200 Speaker 1: and it's asking will your credit card late fees go 870 00:46:06,320 --> 00:46:09,960 Speaker 1: down despite inflation? And that's good and that is actually 871 00:46:10,000 --> 00:46:12,720 Speaker 1: the power of regulators when they work on our behalf. 872 00:46:13,400 --> 00:46:16,640 Speaker 1: But most importantly, the best news is that the Federal 873 00:46:16,640 --> 00:46:19,000 Speaker 1: Reserve itself and I'm not a huge FED fan, but 874 00:46:19,760 --> 00:46:23,000 Speaker 1: this is very good are actually trying to build a 875 00:46:23,080 --> 00:46:26,640 Speaker 1: real time payments network called fed now, and fed now 876 00:46:26,880 --> 00:46:29,320 Speaker 1: is as close as the US has gotten to something 877 00:46:29,400 --> 00:46:32,640 Speaker 1: like Brazil's Peaks network. It is supposed to launch next year. 878 00:46:32,960 --> 00:46:37,319 Speaker 1: It will enable cash transfers and bill pay that settles instantly. Now, 879 00:46:38,160 --> 00:46:40,120 Speaker 1: how doing the government do fed now makes a lot 880 00:46:40,160 --> 00:46:42,880 Speaker 1: of sense because payments are a public service. If I 881 00:46:42,880 --> 00:46:45,200 Speaker 1: hand you a twenty dollars bill or write a check 882 00:46:45,239 --> 00:46:48,480 Speaker 1: for twenty dollars, you get all twenty dollars, no special 883 00:46:48,480 --> 00:46:51,399 Speaker 1: equipment needed. The government takes care of all the counterfeiting risk. 884 00:46:51,800 --> 00:46:54,160 Speaker 1: That is a public system. So our payment system is 885 00:46:54,280 --> 00:46:57,520 Speaker 1: in part a public system. One of the original purposes 886 00:46:57,520 --> 00:47:00,279 Speaker 1: of the Federal Reserve was that it would actually do this. 887 00:47:00,320 --> 00:47:02,239 Speaker 1: The Central Bank would actually do this. For the high 888 00:47:02,239 --> 00:47:05,319 Speaker 1: tech payment technology of the time of nineteen fourteen, which 889 00:47:05,360 --> 00:47:08,240 Speaker 1: was checks, and it worked. After the FED was created, 890 00:47:08,440 --> 00:47:12,000 Speaker 1: checks cleared at what's called par which means that if 891 00:47:12,000 --> 00:47:14,120 Speaker 1: you wrote a twenty dollars check, you'd get twenty dollars. 892 00:47:14,120 --> 00:47:17,239 Speaker 1: And before the FED actually started check clearing, banks would 893 00:47:17,280 --> 00:47:19,799 Speaker 1: take a fee for cashing a check from a different bank, 894 00:47:19,920 --> 00:47:24,000 Speaker 1: very similar to a credit card network. Now, the fact 895 00:47:24,000 --> 00:47:26,400 Speaker 1: that credit card companies and banks charge each of US 896 00:47:26,440 --> 00:47:29,360 Speaker 1: seven hundred and eighty dollars a year is a relic 897 00:47:29,440 --> 00:47:33,400 Speaker 1: of nineteen sixties technology, lax competition, policy making over the 898 00:47:33,480 --> 00:47:36,680 Speaker 1: last forty years on political corruption. Even now, big banks 899 00:47:36,680 --> 00:47:39,120 Speaker 1: are lobbying to destroy bank regulators who are trying to 900 00:47:39,160 --> 00:47:42,880 Speaker 1: stop them, and systems like FED now. And this brings 901 00:47:42,880 --> 00:47:44,600 Speaker 1: me finally to something that I think a lot of 902 00:47:44,640 --> 00:47:46,920 Speaker 1: you are going to have questions about, which is the 903 00:47:47,040 --> 00:47:49,080 Speaker 1: role of crypto now. A lot of the people in 904 00:47:49,120 --> 00:47:52,440 Speaker 1: the crypto or fintech world look at the inefficiency of 905 00:47:52,480 --> 00:47:54,960 Speaker 1: payments and say we need to disrupt it with new 906 00:47:55,000 --> 00:47:58,839 Speaker 1: technologies and business model business models. But if that were so, 907 00:47:58,920 --> 00:48:01,279 Speaker 1: we would see the same efficiency all over the world 908 00:48:01,360 --> 00:48:04,320 Speaker 1: and you would need technology to address it. But in reality, 909 00:48:04,440 --> 00:48:08,319 Speaker 1: this inefficiency is increasingly just an American problem, not a 910 00:48:08,320 --> 00:48:10,920 Speaker 1: worldwide one, and it doesn't have to do with the 911 00:48:11,000 --> 00:48:14,200 Speaker 1: technology problem. It has to do with dominant firms maintaining 912 00:48:14,239 --> 00:48:18,880 Speaker 1: their power using political influence and monopolization. Where there are functional, 913 00:48:18,880 --> 00:48:22,160 Speaker 1: effective governments, payment systems are quick and efficient, and where 914 00:48:22,160 --> 00:48:25,360 Speaker 1: there aren't, payment systems are bad and clunky. So like 915 00:48:25,400 --> 00:48:27,319 Speaker 1: it or not, this is a problem we actually have 916 00:48:27,360 --> 00:48:31,040 Speaker 1: to fix through politics and government. Everyone else has and 917 00:48:31,120 --> 00:48:34,359 Speaker 1: there's no reason that America can't. So thanks for watching 918 00:48:34,400 --> 00:48:36,719 Speaker 1: this Big Breakdown on the Breaking Points channel, and if 919 00:48:36,719 --> 00:48:38,680 Speaker 1: you'd like to know more about big business and how 920 00:48:38,719 --> 00:48:41,120 Speaker 1: our economy really works, you can sign up below for 921 00:48:41,239 --> 00:48:44,600 Speaker 1: my market power focused newsletter Big in the description. Thanks 922 00:48:44,600 --> 00:48:45,319 Speaker 1: and have a good one.