1 00:00:00,760 --> 00:00:03,680 Speaker 1: Hey, guys, ready or not, twenty twenty four is here, 2 00:00:03,840 --> 00:00:06,320 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:06,360 --> 00:00:08,520 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,800 --> 00:00:11,720 Speaker 2: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,720 --> 00:00:15,720 Speaker 2: the studio ad staff give you, guys, the best independent. 6 00:00:15,120 --> 00:00:16,239 Speaker 3: Coverage that is possible. 7 00:00:16,280 --> 00:00:18,279 Speaker 2: If you like what we're all about, it just means 8 00:00:18,320 --> 00:00:20,000 Speaker 2: the absolute world to have your support. 9 00:00:20,160 --> 00:00:21,840 Speaker 3: But enough with that, let's get to the show. 10 00:00:24,960 --> 00:00:28,120 Speaker 1: There has been quite a political drama playing out in 11 00:00:28,160 --> 00:00:32,600 Speaker 1: the state of Nebraska with regard to their electoral college votes. 12 00:00:32,800 --> 00:00:34,959 Speaker 1: So if you're not a total political geek, you may 13 00:00:34,960 --> 00:00:39,120 Speaker 1: not know. Nebraska and Maine allocate their electoral college votes 14 00:00:39,159 --> 00:00:41,240 Speaker 1: in a different way than I think any other state. 15 00:00:41,920 --> 00:00:44,080 Speaker 1: Instead of doing it as Twitter take all, like you 16 00:00:44,120 --> 00:00:46,479 Speaker 1: win the state, you get the electoral college votes, end 17 00:00:46,479 --> 00:00:50,080 Speaker 1: of story, they do it by congressional district. That means 18 00:00:50,080 --> 00:00:52,720 Speaker 1: that there is a district in Nebraska which is a 19 00:00:53,159 --> 00:00:58,920 Speaker 1: perennial swing congressional district that is worth one electoral college vote. 20 00:00:59,400 --> 00:01:02,360 Speaker 1: So there was an effort in the Nebraska legislature to 21 00:01:02,440 --> 00:01:06,119 Speaker 1: try to change the way that they did their electoral 22 00:01:06,160 --> 00:01:08,920 Speaker 1: college vote allocation to put it in line with all 23 00:01:08,920 --> 00:01:11,000 Speaker 1: of the other states that just do win or take all. 24 00:01:11,319 --> 00:01:13,840 Speaker 1: To put this up on the screen, this is very signific. 25 00:01:13,880 --> 00:01:16,440 Speaker 1: I'll get into this. It could actually end up being 26 00:01:16,520 --> 00:01:19,360 Speaker 1: the difference between who wins and who loses. But you 27 00:01:19,440 --> 00:01:23,480 Speaker 1: had one Republican senator who was a kind of a 28 00:01:23,520 --> 00:01:28,119 Speaker 1: holdout who yesterday finally issued a statement saying he would 29 00:01:28,120 --> 00:01:31,360 Speaker 1: not vote for this proposed winner take all system for 30 00:01:31,560 --> 00:01:35,360 Speaker 1: Nebraska's electoral college votes. He said quote, elections should be 31 00:01:35,360 --> 00:01:37,399 Speaker 1: an opportunity for all voters to be heard, no matter 32 00:01:37,480 --> 00:01:39,640 Speaker 1: who they are, where they live, or what party they support. 33 00:01:39,760 --> 00:01:42,000 Speaker 1: For decades, Nebraska's try to live up to that ideal 34 00:01:42,040 --> 00:01:44,000 Speaker 1: by allocating our electoral college votes in a way that 35 00:01:44,000 --> 00:01:47,280 Speaker 1: gives all Nebraskans an equal voice in choosing our president. 36 00:01:47,520 --> 00:01:49,680 Speaker 1: For Omaha, the city I love and have called home 37 00:01:49,720 --> 00:01:52,280 Speaker 1: for fifty eight years, it brings tremendous national attention, is 38 00:01:52,360 --> 00:01:55,320 Speaker 1: impactful on our local economy, and forces presidential candidates to 39 00:01:55,360 --> 00:01:58,000 Speaker 1: make their case to all Nebraskans instead of just flying 40 00:01:58,000 --> 00:02:00,920 Speaker 1: over and disregarding us. In recent weeks, a conversation about 41 00:02:00,920 --> 00:02:03,200 Speaker 1: whether to change how we allocate our votes has returned 42 00:02:03,200 --> 00:02:06,240 Speaker 1: to the forefront. I respect the desire to have this discussion, 43 00:02:06,280 --> 00:02:09,400 Speaker 1: and I have taken time to listen carefully. After deep consideration, 44 00:02:09,600 --> 00:02:11,799 Speaker 1: it is clear to me that right now, forty three 45 00:02:11,840 --> 00:02:14,239 Speaker 1: days from election day, is not the moment to make 46 00:02:14,320 --> 00:02:18,760 Speaker 1: this change. And Sara, you can kind of understand his perspective, because, Yeah, 47 00:02:18,919 --> 00:02:22,840 Speaker 1: if Nebraska didn't allocate their electoral college votes this way, 48 00:02:23,520 --> 00:02:27,760 Speaker 1: no politician would ever care about campaigning in Nebraska again, 49 00:02:28,240 --> 00:02:31,280 Speaker 1: which also just sort of serves to underscore what an 50 00:02:31,320 --> 00:02:34,359 Speaker 1: absurd system the electoral college system is to begin with, 51 00:02:34,880 --> 00:02:38,200 Speaker 1: that you only really matter in this election coming up 52 00:02:38,240 --> 00:02:42,239 Speaker 1: if you live in a handful seven specifically of different 53 00:02:42,280 --> 00:02:45,000 Speaker 1: swing states plus one district in Maine and one district 54 00:02:45,000 --> 00:02:45,640 Speaker 1: in Nebraska. 55 00:02:45,680 --> 00:02:47,760 Speaker 2: Well, I actually kind of my hot take. I kind 56 00:02:47,760 --> 00:02:51,000 Speaker 2: of like the congressional allocation. You know, I don't hate 57 00:02:51,000 --> 00:02:51,400 Speaker 2: the system. 58 00:02:51,600 --> 00:02:53,160 Speaker 1: I like it better than the way they do it 59 00:02:53,160 --> 00:02:55,799 Speaker 1: now because that makes you forces you to campaign work. 60 00:02:55,880 --> 00:02:58,399 Speaker 2: I like that idea, especially in Nebraska. Nobody thinks about 61 00:02:58,400 --> 00:03:00,960 Speaker 2: it's definition of a flyover state. This is basically all 62 00:03:00,960 --> 00:03:03,120 Speaker 2: they got going for him, So that's what they're taking. 63 00:03:03,200 --> 00:03:05,720 Speaker 2: Obviously Trump wanted to remove it, but I mean, the 64 00:03:05,800 --> 00:03:08,160 Speaker 2: main reason, let's go ahead and put C two please 65 00:03:08,600 --> 00:03:11,760 Speaker 2: up on the screen. Is because of that path to 66 00:03:11,919 --> 00:03:14,400 Speaker 2: democratic victory. So what you see in front of you 67 00:03:15,000 --> 00:03:20,960 Speaker 2: is the potential potential If Kamalaw were to win Wisconsin, Michigan, 68 00:03:21,200 --> 00:03:26,760 Speaker 2: and Pennsylvania, but lose Georgia, Arizona and Nevada, with that 69 00:03:26,919 --> 00:03:31,120 Speaker 2: single electoral vote from Nebraska, she would win two hundred 70 00:03:31,160 --> 00:03:34,080 Speaker 2: and seventy to two hundred and sixty eight electoral votes. 71 00:03:34,200 --> 00:03:37,160 Speaker 3: That would be this is this nail biting as this 72 00:03:37,280 --> 00:03:37,920 Speaker 3: is zilbiery. 73 00:03:38,080 --> 00:03:41,640 Speaker 2: That's very possible scenario, very possible scenario, and so that 74 00:03:41,960 --> 00:03:44,400 Speaker 2: the polling average is actually is the most possible scenario. 75 00:03:44,520 --> 00:03:47,720 Speaker 4: That's true. Yeah, that is true. Yeah, that one. 76 00:03:48,040 --> 00:03:49,880 Speaker 1: That's why people have paid so much attention to this, 77 00:03:50,080 --> 00:03:54,400 Speaker 1: because that one electoral college vote in Nebraska, which right 78 00:03:54,440 --> 00:03:56,960 Speaker 1: now it is a swing district, but it favors Democrats 79 00:03:56,960 --> 00:03:59,320 Speaker 1: and the polling that we've seen at this point. You 80 00:03:59,400 --> 00:04:03,440 Speaker 1: add that to just the three quote unquote blue wall 81 00:04:03,440 --> 00:04:07,320 Speaker 1: states Wisconsin, Michigan, and Pennsylvania, where her poles have tended 82 00:04:07,320 --> 00:04:10,320 Speaker 1: to be decent, Pennsylvania being the most tenuous of them, 83 00:04:10,880 --> 00:04:14,840 Speaker 1: she could lose all the Sun Belt states and still 84 00:04:15,040 --> 00:04:18,920 Speaker 1: win the narrowest of victories. And obviously, like you know, 85 00:04:19,040 --> 00:04:21,600 Speaker 1: doing the math here, if they changed it was winner 86 00:04:21,640 --> 00:04:22,159 Speaker 1: take all. 87 00:04:22,080 --> 00:04:24,320 Speaker 4: You could end up if you had. 88 00:04:24,120 --> 00:04:26,760 Speaker 1: This same map, but it's winner take all in Nebraska, 89 00:04:26,839 --> 00:04:28,440 Speaker 1: you end up with a two sixty nine and two 90 00:04:28,440 --> 00:04:30,920 Speaker 1: sixty nine tigh and then as a contingent election, I 91 00:04:30,960 --> 00:04:32,600 Speaker 1: don't know, Scager, what even happened that goes. 92 00:04:32,520 --> 00:04:33,040 Speaker 3: To the House. 93 00:04:33,640 --> 00:04:36,000 Speaker 2: Yeah, if it was Tuesday nine twenty nine, it it's 94 00:04:36,040 --> 00:04:38,200 Speaker 2: contingent election, it would go to the House representatives. 95 00:04:38,240 --> 00:04:39,040 Speaker 3: Basically hasn't had. 96 00:04:39,080 --> 00:04:42,040 Speaker 1: Nightmare, total nightmare nime of scenario for. 97 00:04:42,000 --> 00:04:43,960 Speaker 4: The whole country, but there is will be interesting. 98 00:04:44,000 --> 00:04:44,880 Speaker 3: A lot of people have been right. 99 00:04:44,920 --> 00:04:47,200 Speaker 2: Actually, I saw Dana bash Now just wrote a book 100 00:04:47,279 --> 00:04:49,080 Speaker 2: audible for some reason was trying to force it down 101 00:04:49,080 --> 00:04:51,560 Speaker 2: my throat. But prior to this year, when RFK was 102 00:04:51,560 --> 00:04:52,960 Speaker 2: in the race, I was doing a lot of eighteen 103 00:04:53,000 --> 00:04:56,080 Speaker 2: seventy six election righting. And that's the one where the 104 00:04:56,120 --> 00:04:58,600 Speaker 2: close election in American history. You know, a lot of 105 00:04:58,640 --> 00:05:01,679 Speaker 2: people do forget if because Harry Enton has been talking 106 00:05:01,680 --> 00:05:03,760 Speaker 2: about this, this could end up being close selection since 107 00:05:03,800 --> 00:05:07,520 Speaker 2: nineteen sixty and that is probably more analogus to where 108 00:05:07,560 --> 00:05:09,520 Speaker 2: we'll end up. A lot of people don't remember, but 109 00:05:09,560 --> 00:05:12,680 Speaker 2: the margin between Kennedy and Nixon was razor tight, and 110 00:05:12,880 --> 00:05:15,840 Speaker 2: there were allegations of cheating. Nineteen sixties also where the 111 00:05:15,880 --> 00:05:18,480 Speaker 2: whole alternate elector scheme came up with. 112 00:05:18,600 --> 00:05:19,719 Speaker 3: That's what they did in Hawaii. 113 00:05:19,839 --> 00:05:22,800 Speaker 2: So there's some parallels to where we are today for 114 00:05:22,839 --> 00:05:26,720 Speaker 2: the polling average and where the eventual the eventual result 115 00:05:26,839 --> 00:05:27,320 Speaker 2: may end up. 116 00:05:27,400 --> 00:05:30,640 Speaker 3: Kennedy, it was this close, this close for him to 117 00:05:30,720 --> 00:05:31,000 Speaker 3: end up. 118 00:05:30,960 --> 00:05:31,479 Speaker 5: In the White House. 119 00:05:31,520 --> 00:05:34,040 Speaker 1: I mean, I think it's very unlikely that you have 120 00:05:34,320 --> 00:05:37,719 Speaker 1: a popular vote blowout, you know. I mean it could 121 00:05:37,800 --> 00:05:40,040 Speaker 1: be like three four points would be the most that 122 00:05:40,040 --> 00:05:43,039 Speaker 1: would separate the popular vote. But then you know, the 123 00:05:43,120 --> 00:05:46,960 Speaker 1: electoral college oftentimes all the swing states go in one 124 00:05:47,000 --> 00:05:50,880 Speaker 1: direction or the other direction. But you'll recall we covered 125 00:05:50,920 --> 00:05:54,200 Speaker 1: yesterday these New New York Times Siena polls, which are 126 00:05:54,200 --> 00:05:57,400 Speaker 1: considered very highly rated coming out of the Sun Belt states, 127 00:05:57,440 --> 00:05:59,520 Speaker 1: and they were not good for Kamala Harris. They showed 128 00:05:59,560 --> 00:06:02,839 Speaker 1: a lot of try strength. So this that's which is 129 00:06:02,880 --> 00:06:06,080 Speaker 1: why that makes this Nebraska move even more sign potentially signial. 130 00:06:05,839 --> 00:06:07,880 Speaker 2: To your point, Crystal, I mean, just this morning, you know, 131 00:06:07,920 --> 00:06:10,440 Speaker 2: we were talking about that, and the Time's actually put out 132 00:06:10,440 --> 00:06:13,440 Speaker 2: a really interesting analysis of its own Arizona polling, and 133 00:06:13,480 --> 00:06:17,320 Speaker 2: they find that in Arizona that there is a significant 134 00:06:17,360 --> 00:06:21,200 Speaker 2: split for people who are Diego Trump, so people who 135 00:06:21,240 --> 00:06:24,000 Speaker 2: don't like Carry Lake but who want to vote for 136 00:06:24,040 --> 00:06:26,760 Speaker 2: Trump and will vote for a Democrat in the US Senate. 137 00:06:26,800 --> 00:06:29,159 Speaker 2: They say Trump gets a lyft from Arizona ticket splitters 138 00:06:29,200 --> 00:06:32,960 Speaker 2: backing a Democrat for Senate. Diego leads in the contest 139 00:06:32,960 --> 00:06:35,920 Speaker 2: while Kamala Harris trails Donald Trump. 140 00:06:35,920 --> 00:06:36,880 Speaker 3: And they point. 141 00:06:36,640 --> 00:06:40,120 Speaker 2: Specifically to the fact that Diego is leading Carry Lake 142 00:06:40,160 --> 00:06:42,640 Speaker 2: by six whereas quote Trump has opened up a five 143 00:06:42,720 --> 00:06:46,880 Speaker 2: point lead. That means there's an eleven percent electorate somewhere 144 00:06:47,120 --> 00:06:50,760 Speaker 2: that is Diego Trump. Remember too, split ticket Maybe it's 145 00:06:50,760 --> 00:06:53,480 Speaker 2: more common in the age of bad candidates, Like there 146 00:06:53,520 --> 00:06:58,240 Speaker 2: were a decent number of Oz Shapiro voters, which is 147 00:06:58,279 --> 00:07:00,520 Speaker 2: kind of a crazy thing to say, But in the 148 00:07:00,520 --> 00:07:03,160 Speaker 2: state of North Carolina, you could certainly envision that there 149 00:07:03,160 --> 00:07:04,680 Speaker 2: will be a lot of who is it Josh Stein 150 00:07:04,839 --> 00:07:06,160 Speaker 2: is that rning aainst him? Yeah, there will be a 151 00:07:06,200 --> 00:07:09,000 Speaker 2: lot of Stein Trump voters. You could see that, certainly. 152 00:07:08,800 --> 00:07:10,920 Speaker 3: There would definitely be some but I'm saying the universe 153 00:07:11,040 --> 00:07:13,720 Speaker 3: huge Trump could win and Stein could also win. That 154 00:07:13,760 --> 00:07:14,320 Speaker 3: would be nuts. 155 00:07:14,400 --> 00:07:16,960 Speaker 2: I mean, that would mean tens of thousands of people 156 00:07:16,960 --> 00:07:19,640 Speaker 2: go to the polls and vote for Democrat and Republican. 157 00:07:19,880 --> 00:07:22,800 Speaker 2: Very rare in my opinion, in these days. But if 158 00:07:22,840 --> 00:07:25,960 Speaker 2: you know, crazier things have happened in terms of look 159 00:07:26,000 --> 00:07:28,080 Speaker 2: in general, just modern politics. I just don't really believe 160 00:07:28,080 --> 00:07:30,840 Speaker 2: in eleven pointswing, but it is theoretically possible. That's where 161 00:07:30,840 --> 00:07:34,080 Speaker 2: the polls show. Nobody's really voted that way since two 162 00:07:34,080 --> 00:07:36,480 Speaker 2: thousand and eight. People don't really vote that way anymore. 163 00:07:36,680 --> 00:07:38,480 Speaker 2: But you know, I guess you know, rules are meant 164 00:07:38,480 --> 00:07:39,000 Speaker 2: to be broken. 165 00:07:39,200 --> 00:07:42,280 Speaker 1: I'm looking at the real clear politics averages right now, 166 00:07:42,360 --> 00:07:44,840 Speaker 1: which take all of the polls into account, even some 167 00:07:45,040 --> 00:07:47,280 Speaker 1: you know, it's controversial. There's been this rise of like 168 00:07:47,480 --> 00:07:50,440 Speaker 1: right leaning polls that are meant to be almost like 169 00:07:50,560 --> 00:07:55,040 Speaker 1: messaging polls, and some Polster averages include them and some don't. 170 00:07:55,280 --> 00:07:56,520 Speaker 4: RCP includes all of them. 171 00:07:56,720 --> 00:07:59,320 Speaker 1: And as of right now, Harris has a very narrow 172 00:07:59,400 --> 00:08:02,800 Speaker 1: lead in Nevada point four. She's got also a narrow 173 00:08:02,880 --> 00:08:06,720 Speaker 1: lead in Pennsylvania point six, Michigan one point eight, and 174 00:08:06,760 --> 00:08:11,400 Speaker 1: Wisconsin one point, and Trump has narrow leads in the 175 00:08:11,680 --> 00:08:15,960 Speaker 1: three of the sun Belt states Arizona, North Carolina, and Georgia. 176 00:08:16,040 --> 00:08:18,480 Speaker 1: But the you know, the closest margin here for Harris 177 00:08:18,520 --> 00:08:21,800 Speaker 1: is in that fourth Sun Belt state of Nevada. So 178 00:08:21,920 --> 00:08:25,440 Speaker 1: again underscoring why this could be such a we could 179 00:08:25,480 --> 00:08:27,000 Speaker 1: look back at this and be like, oh my god, 180 00:08:27,000 --> 00:08:29,560 Speaker 1: that was such a consequential decision that ended up happening 181 00:08:29,600 --> 00:08:30,920 Speaker 1: with regards to Nebraska. 182 00:08:31,320 --> 00:08:32,960 Speaker 4: Puts the three up on the screen. 183 00:08:32,960 --> 00:08:35,880 Speaker 1: That's the latest poll we got out of Wisconsin, which 184 00:08:35,920 --> 00:08:38,840 Speaker 1: showed some pretty significant Harris's strength there. It has her 185 00:08:38,960 --> 00:08:42,520 Speaker 1: up fifty one to forty five when you include all 186 00:08:42,520 --> 00:08:44,760 Speaker 1: of the candidates fifty three forty six in a two 187 00:08:44,800 --> 00:08:47,800 Speaker 1: way Tammy Baldwin with a similar margin in the Senate 188 00:08:47,880 --> 00:08:48,480 Speaker 1: race there. 189 00:08:48,320 --> 00:08:49,520 Speaker 4: Fifty two to forty four. 190 00:08:49,800 --> 00:08:54,120 Speaker 1: This is the same pole polling outfit mass Inc. That 191 00:08:54,240 --> 00:08:56,800 Speaker 1: had a Pennsylvania pole that also was good for Harris 192 00:08:56,920 --> 00:08:59,560 Speaker 1: last week had her up fifty to forty six. 193 00:09:00,040 --> 00:09:00,360 Speaker 3: Again. 194 00:09:00,520 --> 00:09:02,439 Speaker 1: You know, this ties in with the sense that okay, 195 00:09:02,440 --> 00:09:04,880 Speaker 1: she's doing a little bit better in those industrial Midwestern 196 00:09:04,920 --> 00:09:07,000 Speaker 1: states than she is doing in the Sun Belt states 197 00:09:07,000 --> 00:09:10,720 Speaker 1: for whatever reason. And one other piece of news with 198 00:09:10,760 --> 00:09:13,120 Speaker 1: regard to the Sun Belt, though, as we covered in 199 00:09:13,160 --> 00:09:19,160 Speaker 1: depth the new revelations about Republican gubernatorial candidate Mark Robinson 200 00:09:19,280 --> 00:09:22,640 Speaker 1: aka Black Nazi, and we can put C four up 201 00:09:22,679 --> 00:09:25,560 Speaker 1: on the screen. So the Republican Governor's Association has officially 202 00:09:25,559 --> 00:09:28,920 Speaker 1: called it quits and thrown in the towel on North Carolina. 203 00:09:29,040 --> 00:09:32,840 Speaker 1: Adviys and RGA spox says, we don't comment on internal 204 00:09:32,840 --> 00:09:35,200 Speaker 1: strategy or investment decisions, but we can confirm what's public. 205 00:09:35,240 --> 00:09:37,800 Speaker 1: Our current media buy in North Carolina expires tomorrow and 206 00:09:37,840 --> 00:09:42,120 Speaker 1: no further placements have been made. Could be some effect 207 00:09:42,240 --> 00:09:45,200 Speaker 1: on Trump in North Carolina? Maybe, I mean very hard 208 00:09:45,240 --> 00:09:47,120 Speaker 1: to say. I don't know that reverse coattails are all 209 00:09:47,160 --> 00:09:50,200 Speaker 1: that common. But when we talked to Logan Phillips yesterday, 210 00:09:50,240 --> 00:09:53,520 Speaker 1: it's like election forecast or prognosticator runs one of these, 211 00:09:53,600 --> 00:09:56,520 Speaker 1: you know, comprehensive election models. He was saying, you know, 212 00:09:56,559 --> 00:09:58,560 Speaker 1: it's not just Mark Robinson, it's the fact that the 213 00:09:58,559 --> 00:10:01,160 Speaker 1: North Carolina Republican Party in general, which now has a 214 00:10:01,200 --> 00:10:05,280 Speaker 1: supermajority there in their legislature, has been governing morelike it's 215 00:10:05,320 --> 00:10:08,680 Speaker 1: like an Alabama or Mississippi party versus a party in 216 00:10:08,760 --> 00:10:11,560 Speaker 1: a state that is a swing state, and specifically on 217 00:10:11,600 --> 00:10:16,480 Speaker 1: the issue of abortion, they've adopted fringe positions and past 218 00:10:16,480 --> 00:10:17,800 Speaker 1: fringe legislation. 219 00:10:18,200 --> 00:10:19,320 Speaker 4: So when you put. 220 00:10:19,120 --> 00:10:21,839 Speaker 1: All of that together, does that depress the vote for 221 00:10:21,880 --> 00:10:24,360 Speaker 1: Republicans a little bit? Does not move a few suburban 222 00:10:24,440 --> 00:10:27,480 Speaker 1: voters towards Democrats a little bit, question mark. But the 223 00:10:27,480 --> 00:10:30,280 Speaker 1: fact you've got RGA calling it quits also just means 224 00:10:30,320 --> 00:10:33,960 Speaker 1: there's going to be less Republican ad dollars going to 225 00:10:34,040 --> 00:10:38,120 Speaker 1: promote that ticket less coordinated campaign in the state that 226 00:10:38,160 --> 00:10:40,560 Speaker 1: Donald Trump is a beneficiarrea zero dollars. 227 00:10:40,600 --> 00:10:44,600 Speaker 2: They basically have pulled out Democratic they are looking right 228 00:10:44,640 --> 00:10:49,440 Speaker 2: now the analysis, it's like basically zero of currently being 229 00:10:49,480 --> 00:10:53,720 Speaker 2: reserved for him through television, no ads on Facebook or Google. 230 00:10:54,120 --> 00:10:58,120 Speaker 2: Dems meanwhile have twelve point five million reserved in the 231 00:10:58,160 --> 00:11:02,480 Speaker 2: state through November. The next forty something days are going 232 00:11:02,559 --> 00:11:04,240 Speaker 2: to be a real doozy. If you lived in North 233 00:11:04,240 --> 00:11:07,000 Speaker 2: carolina're about to get bombarded. There will be nothing counter 234 00:11:07,360 --> 00:11:09,360 Speaker 2: on the Democratic side. And you just can't tell me 235 00:11:09,480 --> 00:11:11,680 Speaker 2: that that's not a problem for Trump. It's obviously for 236 00:11:11,720 --> 00:11:14,439 Speaker 2: the only question is a degree, It could be a point, 237 00:11:14,480 --> 00:11:15,480 Speaker 2: and that's basically the. 238 00:11:15,400 --> 00:11:16,560 Speaker 3: Margin of what you won last night. 239 00:11:16,600 --> 00:11:18,480 Speaker 1: Well, to your point, there's actually a new poll that 240 00:11:18,600 --> 00:11:21,240 Speaker 1: just came out that I just saw minutes before this segment. 241 00:11:21,320 --> 00:11:24,520 Speaker 1: That it's a Elon University poll out of North Carolina 242 00:11:24,600 --> 00:11:27,800 Speaker 1: rated B plus. Polster has come up by a point 243 00:11:27,840 --> 00:11:30,240 Speaker 1: a single point in the state of North Carolina and 244 00:11:30,400 --> 00:11:35,560 Speaker 1: has Josh Stein up by fourteen points forty nine to 245 00:11:35,600 --> 00:11:39,040 Speaker 1: thirty five over Mark Robinson. And I don't know when 246 00:11:39,160 --> 00:11:42,520 Speaker 1: the polling sample. What this could have predated, Actually the 247 00:11:42,720 --> 00:11:45,320 Speaker 1: revelation of the whole Black Nazi. I wish I was 248 00:11:45,320 --> 00:11:47,920 Speaker 1: in the KKK. I wish slavery of slavery's good. Actually, 249 00:11:47,920 --> 00:11:50,880 Speaker 1: I'd like to own some slaves comment revelation, so it 250 00:11:50,920 --> 00:11:52,679 Speaker 1: could it could sink even lower than that. 251 00:11:52,760 --> 00:11:56,920 Speaker 2: Actually, that's honestly nuts, But it does track its tracks 252 00:11:56,920 --> 00:12:01,920 Speaker 2: a lot. What is Trump doing? How is he combating this? 253 00:12:02,160 --> 00:12:04,680 Speaker 2: Is he in it to win it? Well, maybe let's 254 00:12:04,720 --> 00:12:06,760 Speaker 2: go and put this up there on the screen. Trump 255 00:12:06,800 --> 00:12:11,120 Speaker 2: is now quote holding far fewer rallies than in past runs, 256 00:12:11,120 --> 00:12:14,800 Speaker 2: and this data, honestly, that's pretty shocking, especially if you're 257 00:12:15,120 --> 00:12:18,840 Speaker 2: comparing it to the twenty sixteen campaign. So by the numbers, 258 00:12:18,880 --> 00:12:22,040 Speaker 2: Trump had seventy two rallies between June and September of 259 00:12:22,040 --> 00:12:25,840 Speaker 2: twenty sixteen. He has held twenty four in this period 260 00:12:25,880 --> 00:12:29,439 Speaker 2: this year, with another on the calendar for today. So 261 00:12:29,679 --> 00:12:32,080 Speaker 2: he will soon ramp up a schedule, quote with multiple 262 00:12:32,160 --> 00:12:34,440 Speaker 2: rallies per week in the final stretch of the campaign. 263 00:12:34,960 --> 00:12:39,680 Speaker 2: That's according to his own advisors. But look, in twenty sixteen, 264 00:12:40,040 --> 00:12:43,479 Speaker 2: he had sixty nine in the entire month of October 265 00:12:43,720 --> 00:12:46,520 Speaker 2: and in early November, taking the stage as many as 266 00:12:46,600 --> 00:12:49,120 Speaker 2: five times a day in the stretch. 267 00:12:49,480 --> 00:12:50,040 Speaker 3: That is crazy. 268 00:12:50,400 --> 00:12:52,079 Speaker 2: And honestly, look, he had did the same thing in 269 00:12:52,120 --> 00:12:55,360 Speaker 2: twenty twenty, even though it was even though it was 270 00:12:55,440 --> 00:12:56,480 Speaker 2: literally during the pandemic. 271 00:12:56,480 --> 00:12:58,560 Speaker 3: He had forty three in the five weeks leading up 272 00:12:58,600 --> 00:12:59,160 Speaker 3: to election day. 273 00:12:59,160 --> 00:13:01,200 Speaker 2: You and I remember those because what they were is 274 00:13:01,360 --> 00:13:03,480 Speaker 2: they had that thing where he would arrive in an 275 00:13:03,480 --> 00:13:05,880 Speaker 2: airplane hangar and he would just get off the plane 276 00:13:05,880 --> 00:13:07,520 Speaker 2: and he would immediately go to the stage because they 277 00:13:07,520 --> 00:13:09,760 Speaker 2: would have the stage inside of an airplane hanger. That's 278 00:13:09,760 --> 00:13:12,440 Speaker 2: probably what they'll continue to do, But the current schedule 279 00:13:12,480 --> 00:13:15,200 Speaker 2: does not indicate any of that, and that is a 280 00:13:15,240 --> 00:13:18,120 Speaker 2: real issue now. Of course, he's certainly had a lot 281 00:13:18,200 --> 00:13:20,520 Speaker 2: more energy back in twenty sixteen because he's coming off 282 00:13:20,760 --> 00:13:23,679 Speaker 2: of a successful primary run, but he fought for it 283 00:13:23,760 --> 00:13:26,440 Speaker 2: and he barely won in twenty sixteen. So that is 284 00:13:26,480 --> 00:13:29,680 Speaker 2: what that is an indication to me. At the same time, 285 00:13:30,040 --> 00:13:33,240 Speaker 2: his fundraising, it's a problem now versus Kamala Harris. Remember 286 00:13:33,240 --> 00:13:35,000 Speaker 2: he had a major edge over Joe Biden, but now 287 00:13:35,000 --> 00:13:37,280 Speaker 2: the Kamala's in the race. Let's put this in there. 288 00:13:37,720 --> 00:13:39,600 Speaker 2: What we see right now is that there's some one 289 00:13:39,679 --> 00:13:44,040 Speaker 2: hundred and fifty million dollar shortfall versus Kamala in just 290 00:13:44,160 --> 00:13:45,199 Speaker 2: the month of August. 291 00:13:45,280 --> 00:13:46,160 Speaker 3: I mean, Kamala. 292 00:13:46,360 --> 00:13:51,000 Speaker 2: The big money on the Democratic side this time is insane. 293 00:13:51,040 --> 00:13:53,880 Speaker 2: It's like Obama four million in a single night out 294 00:13:53,920 --> 00:13:57,640 Speaker 2: of Hollywood. Kamala twenty something million, twenty five million dollar 295 00:13:57,679 --> 00:14:00,160 Speaker 2: fundraisers were like unheard of, like what five years to 296 00:14:00,200 --> 00:14:01,480 Speaker 2: go nowther the norm. 297 00:14:01,559 --> 00:14:03,000 Speaker 3: They happen all the time. 298 00:14:03,400 --> 00:14:06,360 Speaker 2: And she is raising just an absolute ton one hundred 299 00:14:06,400 --> 00:14:08,960 Speaker 2: and eighty nine million in August, while Trump raises just 300 00:14:09,040 --> 00:14:12,720 Speaker 2: forty four point five million. Harris shook up was previously 301 00:14:12,760 --> 00:14:15,679 Speaker 2: a more evenly matched cash raise, where both Biden Biden 302 00:14:15,720 --> 00:14:18,160 Speaker 2: had two eighty four Trump had two seventeen. At the 303 00:14:18,240 --> 00:14:20,000 Speaker 2: end of the month in June. That was the totals 304 00:14:20,000 --> 00:14:22,600 Speaker 2: and the coffers, not what they were fundraising. But he's 305 00:14:22,720 --> 00:14:26,240 Speaker 2: always been a major fundraising juggernaut online. But come on, 306 00:14:26,400 --> 00:14:28,600 Speaker 2: she's got a lot of money. There's a ton of 307 00:14:28,960 --> 00:14:32,640 Speaker 2: major Democratic elite enthusiasm. She will not want for anything 308 00:14:32,960 --> 00:14:35,040 Speaker 2: going into this, and it might just be the you know, 309 00:14:35,120 --> 00:14:37,200 Speaker 2: the difference whenever it comes down to it. 310 00:14:37,360 --> 00:14:41,760 Speaker 1: Yeah, And she's also had much more success crossrooms fundraising 311 00:14:41,800 --> 00:14:44,360 Speaker 1: than Biden. That's been one of the primary differences between 312 00:14:44,400 --> 00:14:48,240 Speaker 1: their fundraising. In particular, It's possible that this is less 313 00:14:48,280 --> 00:14:52,640 Speaker 1: reflective of a true overall cash disparity and more reflective 314 00:14:52,720 --> 00:14:57,120 Speaker 1: of a different campaign strategies. So increasingly campaigns are outsourcing 315 00:14:57,480 --> 00:15:00,440 Speaker 1: a lot of their even field work paid community patients, 316 00:15:00,520 --> 00:15:02,400 Speaker 1: like what used to be seen as sort of core 317 00:15:02,520 --> 00:15:07,920 Speaker 1: campaign functions, to outside entities that face fewer restrictions and 318 00:15:08,000 --> 00:15:10,640 Speaker 1: on you know, the use of their money, and some 319 00:15:10,680 --> 00:15:13,280 Speaker 1: of them, if they don't directly advocate for a canonic 320 00:15:13,360 --> 00:15:15,280 Speaker 1: even taken you know, dark money, don't have to. 321 00:15:15,200 --> 00:15:16,520 Speaker 4: Disclose it, et cetera, et cetera. 322 00:15:16,960 --> 00:15:19,560 Speaker 1: And the Trump campaign seems to have outsource some of 323 00:15:19,600 --> 00:15:22,560 Speaker 1: those key functions it's actually the strategy remember Ronda Santis 324 00:15:22,680 --> 00:15:24,960 Speaker 1: used in primary campaign didn't work out that well for him, 325 00:15:25,080 --> 00:15:28,200 Speaker 1: but could certainly work out fine for Trump, who has 326 00:15:28,240 --> 00:15:32,680 Speaker 1: demonstrated no issues certainly turning out his folks consistently when 327 00:15:32,720 --> 00:15:34,440 Speaker 1: it is time for them to show up and pull 328 00:15:34,480 --> 00:15:38,360 Speaker 1: the lever for Donald Trump. So I just I would 329 00:15:38,360 --> 00:15:40,080 Speaker 1: take this with a grain of salt. I think it 330 00:15:40,080 --> 00:15:43,520 Speaker 1: does show I think Kamala Harris is probably doing more fundraisers, 331 00:15:43,600 --> 00:15:45,920 Speaker 1: working this a little bit harder to me, it's more 332 00:15:45,960 --> 00:15:48,880 Speaker 1: an indication of Trump kind of you know, he's not 333 00:15:49,000 --> 00:15:50,720 Speaker 1: doing as much of the work that he used to do. 334 00:15:51,200 --> 00:15:54,040 Speaker 1: But it's also going back to the rallies point. It 335 00:15:54,120 --> 00:15:57,480 Speaker 1: was interesting to me the excuses that the campaign gave 336 00:15:57,480 --> 00:15:59,600 Speaker 1: of the rationale the campaign gave for why he was 337 00:15:59,600 --> 00:16:03,520 Speaker 1: doing few rallies. They gave three reasons, three primary reasons 338 00:16:03,560 --> 00:16:05,560 Speaker 1: that he's doing fewer rallies. Number one, they said, he's 339 00:16:05,560 --> 00:16:08,320 Speaker 1: a known quantity. Campaign feels less need to define him 340 00:16:08,400 --> 00:16:10,440 Speaker 1: or his candidacy for voters this time around. 341 00:16:10,840 --> 00:16:13,560 Speaker 4: True, he is a known quantity. That is true. The 342 00:16:13,600 --> 00:16:14,680 Speaker 4: Harris people feel, I. 343 00:16:14,600 --> 00:16:17,200 Speaker 1: Think the same way about you know, Okay, people already 344 00:16:17,200 --> 00:16:18,920 Speaker 1: know maybe we need to remind people of who he 345 00:16:18,960 --> 00:16:20,880 Speaker 1: is and some of those worst laws that they didn't like. 346 00:16:21,120 --> 00:16:22,960 Speaker 1: But in general, you're not really going to move people 347 00:16:23,000 --> 00:16:25,080 Speaker 1: that much on what they think about Donald Trump. But 348 00:16:25,120 --> 00:16:27,040 Speaker 1: it ignores the fact that you also have a chance 349 00:16:27,040 --> 00:16:30,040 Speaker 1: at these rallies to define Kamala Harris and Tim Walls 350 00:16:30,440 --> 00:16:33,000 Speaker 1: in a way that you have so far failed to do. 351 00:16:33,160 --> 00:16:35,760 Speaker 1: And you know, part of the magic of his twenty 352 00:16:35,840 --> 00:16:39,640 Speaker 1: sixteen strategy is that the rallies fed into a media 353 00:16:39,760 --> 00:16:42,360 Speaker 1: strategy that allowed him to grab hold of narratives time 354 00:16:42,440 --> 00:16:44,480 Speaker 1: and time again in a way that ended up being 355 00:16:44,520 --> 00:16:47,160 Speaker 1: favorable for him, and that drove a message that was, 356 00:16:47,200 --> 00:16:49,840 Speaker 1: you know, very critical of Hillary, and that really took 357 00:16:49,880 --> 00:16:52,080 Speaker 1: hold and really landed with the American public. 358 00:16:52,160 --> 00:16:53,280 Speaker 4: So that's one. 359 00:16:53,440 --> 00:16:55,800 Speaker 1: The second reason they give is that rallies are expensive, 360 00:16:57,000 --> 00:17:00,560 Speaker 1: which true, but I mean kind of reminds me of 361 00:17:00,600 --> 00:17:02,680 Speaker 1: remember back in twenty sixteen soccer there was a lot 362 00:17:02,720 --> 00:17:06,400 Speaker 1: of criticism of the Trump rally strategy and they said 363 00:17:06,400 --> 00:17:08,760 Speaker 1: things like, oh, rallies are really expensive, and oh crowd sized, 364 00:17:08,880 --> 00:17:11,639 Speaker 1: it doesn't matter, et cetera, et cetera, And so I 365 00:17:11,640 --> 00:17:14,520 Speaker 1: don't know, like, obviously you sort of proved that this 366 00:17:14,560 --> 00:17:19,080 Speaker 1: strategy works for you before now getting cause conscious about it. 367 00:17:20,359 --> 00:17:21,639 Speaker 4: That was interesting to me. 368 00:17:21,800 --> 00:17:23,960 Speaker 2: There's a human element too, Yeah, everybody, I mean, we're 369 00:17:24,000 --> 00:17:26,200 Speaker 2: all ignoring Trump has literally been shot at. He got 370 00:17:26,200 --> 00:17:29,320 Speaker 2: shot in the head also somebody before that. Yeah, you know, 371 00:17:29,520 --> 00:17:31,160 Speaker 2: he wasn't doing it would. 372 00:17:31,000 --> 00:17:33,399 Speaker 3: Be weird not to be afraid to do a rally. 373 00:17:33,440 --> 00:17:35,920 Speaker 2: He's doing a rally what is on October fifth and 374 00:17:36,000 --> 00:17:39,600 Speaker 2: Butler on the site of where the attempted assassination happened. 375 00:17:39,800 --> 00:17:42,080 Speaker 2: But a lot of people keep pointing that out for 376 00:17:42,119 --> 00:17:44,199 Speaker 2: the criticisms. They're like, hey, people are shooting at him. 377 00:17:44,200 --> 00:17:45,720 Speaker 3: He's are like, I mean, look. 378 00:17:45,600 --> 00:17:49,280 Speaker 2: I would be a Frank too, absolutely kill me. And 379 00:17:49,440 --> 00:17:51,840 Speaker 2: so I mean he can't really put that aside. So 380 00:17:51,880 --> 00:17:54,040 Speaker 2: that's certainly part of it. I mean, I guess the 381 00:17:54,080 --> 00:17:55,360 Speaker 2: other one would be. 382 00:17:55,600 --> 00:17:57,639 Speaker 1: Well, the other thing they say is he's older and 383 00:17:57,640 --> 00:17:59,560 Speaker 1: more inclined bast time at mar A Lago, which I 384 00:17:59,560 --> 00:18:01,840 Speaker 1: think is probably true too, Like he just doesn't want 385 00:18:01,880 --> 00:18:03,560 Speaker 1: to do it anymore. He doesn't want to do the debate, 386 00:18:03,600 --> 00:18:04,960 Speaker 1: he doesn't want to do as many rallies. 387 00:18:05,000 --> 00:18:05,840 Speaker 4: It's exhausting, and. 388 00:18:06,160 --> 00:18:09,000 Speaker 2: The famous reality own body even in twenty sixteen, So 389 00:18:09,040 --> 00:18:11,640 Speaker 2: he would have a rally in Nevada, and while any 390 00:18:11,720 --> 00:18:14,000 Speaker 2: other candidate would just pass out in Nevada, he'd get 391 00:18:14,000 --> 00:18:15,600 Speaker 2: on the jet and go home to New York just 392 00:18:15,680 --> 00:18:17,040 Speaker 2: to sleep in his own bed. 393 00:18:17,119 --> 00:18:19,160 Speaker 3: I sympathize with that. I totally get it. 394 00:18:19,359 --> 00:18:22,120 Speaker 2: But you know, sometimes being on the campaign trail, that's 395 00:18:22,160 --> 00:18:24,159 Speaker 2: not always the most practical thing. And he burned a 396 00:18:24,160 --> 00:18:26,560 Speaker 2: lot of jet fuel doing that. I remember of reading 397 00:18:26,560 --> 00:18:28,360 Speaker 2: so many articles about it because people are like, it's 398 00:18:28,359 --> 00:18:31,480 Speaker 2: just such a crazy way to do business. But really 399 00:18:31,480 --> 00:18:34,520 Speaker 2: what it means I think this time around he's prioritizing himself. 400 00:18:34,680 --> 00:18:36,879 Speaker 2: I think he feels a little bit more comfortable per 401 00:18:36,920 --> 00:18:39,560 Speaker 2: se this time around, more set in his own ways, 402 00:18:39,600 --> 00:18:41,960 Speaker 2: doesn't feel like he has to fight as much. And look, 403 00:18:42,000 --> 00:18:43,879 Speaker 2: he may be right, you know, right now, he's got 404 00:18:43,920 --> 00:18:46,000 Speaker 2: a fifty to fifty shot, and if he does end 405 00:18:46,080 --> 00:18:49,080 Speaker 2: up winning, then all of his condo will really have 406 00:18:49,119 --> 00:18:50,480 Speaker 2: been for not and he would have had a pretty 407 00:18:50,560 --> 00:18:53,639 Speaker 2: comfortable run, so to speak, I guess, you know, putting 408 00:18:53,640 --> 00:18:56,639 Speaker 2: aside him literally getting shot, but putting all that aside, 409 00:18:56,680 --> 00:18:58,560 Speaker 2: like he would not have had to have worked as 410 00:18:58,640 --> 00:19:02,240 Speaker 2: hard for the president's as most people have to their 411 00:19:02,280 --> 00:19:04,280 Speaker 2: first time around, so I'm actually curious. 412 00:19:04,359 --> 00:19:06,080 Speaker 3: I really don't know where it's going to go. 413 00:19:06,400 --> 00:19:10,160 Speaker 1: There was one other piece that's been interesting, Oh the Millennia, Yeah, 414 00:19:10,200 --> 00:19:14,359 Speaker 1: which is Milania is absence. She's totally a campaign she 415 00:19:14,720 --> 00:19:15,440 Speaker 1: They wanted her. 416 00:19:15,320 --> 00:19:16,920 Speaker 4: To speak at the R and C. Apparently they tried 417 00:19:16,960 --> 00:19:17,200 Speaker 4: to die. 418 00:19:17,240 --> 00:19:20,080 Speaker 1: She's like, no, the most I'll do is show up 419 00:19:20,240 --> 00:19:24,399 Speaker 1: and like, you're lucky I'm doing that. Basically, she's not 420 00:19:24,440 --> 00:19:27,520 Speaker 1: on the campaign trail at all. She's writing a new 421 00:19:27,560 --> 00:19:32,479 Speaker 1: memoir about just about herself. She just did this really 422 00:19:33,119 --> 00:19:37,359 Speaker 1: on a left field video about how like responding to 423 00:19:37,480 --> 00:19:40,400 Speaker 1: criticism of her nude modeling, which I haven't heard any 424 00:19:40,400 --> 00:19:43,119 Speaker 1: criticism of her nude modeling in like a decade, but it. 425 00:19:44,320 --> 00:19:48,240 Speaker 4: Came out of nowhere. Yeah, and one news cycle she 426 00:19:48,320 --> 00:19:49,000 Speaker 4: just wrote a book. 427 00:19:49,160 --> 00:19:50,120 Speaker 3: Somebody listen. 428 00:19:50,600 --> 00:19:53,159 Speaker 1: But anyway, it all feels very like, you know, it's 429 00:19:53,200 --> 00:19:55,680 Speaker 1: about her and her life and her journey, which I'm 430 00:19:55,680 --> 00:19:57,840 Speaker 1: sure is interesting in its own regard, but it's very 431 00:19:57,880 --> 00:20:00,399 Speaker 1: much not really about her husband or his for the 432 00:20:00,600 --> 00:20:03,119 Speaker 1: White House, et cetera. And there was this news item 433 00:20:03,240 --> 00:20:07,520 Speaker 1: that is quite curious. So she was apparently paid almost 434 00:20:07,560 --> 00:20:11,240 Speaker 1: a quarter of a million dollars to speak to the 435 00:20:11,640 --> 00:20:15,400 Speaker 1: log Cabin Republicans, which is a group of gay Republicans. 436 00:20:15,720 --> 00:20:18,560 Speaker 1: She delivered speeches at two fundraisers, which is noteworthy in 437 00:20:18,600 --> 00:20:21,600 Speaker 1: and of itself because again, she's really not doing anything 438 00:20:21,640 --> 00:20:26,000 Speaker 1: on the campaign trail for her husband. The log Cabin 439 00:20:26,080 --> 00:20:29,879 Speaker 1: Republican president told CNN his group wasn't the one that 440 00:20:29,920 --> 00:20:33,480 Speaker 1: paid for her appearance, and the form that revealed this 441 00:20:33,600 --> 00:20:36,359 Speaker 1: payment to her didn't provide details on the payments, so 442 00:20:36,400 --> 00:20:39,560 Speaker 1: we actually don't know who put up the cash, which 443 00:20:39,600 --> 00:20:42,560 Speaker 1: is you know, noteworthy and important in and of itself 444 00:20:42,560 --> 00:20:45,760 Speaker 1: in terms of transparency, sunlight all of that, but it's 445 00:20:45,800 --> 00:20:47,920 Speaker 1: also just you know, another interesting look. 446 00:20:48,160 --> 00:20:50,200 Speaker 4: I do feel like if you had. 447 00:20:50,040 --> 00:20:54,720 Speaker 1: Any other politician out there right, if Kamala Harris's husband, 448 00:20:55,080 --> 00:20:58,960 Speaker 1: or if Joe Biden's wife or whatever were like pretty 449 00:20:58,960 --> 00:21:02,240 Speaker 1: clearly didn't actually care that much whether their spouse won 450 00:21:02,359 --> 00:21:04,520 Speaker 1: or lost, I think it would be more of a conversation. 451 00:21:04,680 --> 00:21:06,280 Speaker 1: But with Trump, again, it's just one of these things 452 00:21:06,320 --> 00:21:07,879 Speaker 1: that people are like, Eh, that's just what it is. 453 00:21:08,000 --> 00:21:10,000 Speaker 2: Yeah, I think you're right. I mean, look, I think 454 00:21:10,000 --> 00:21:11,960 Speaker 2: it's definitely weird, but you know, it's not like Trump 455 00:21:11,960 --> 00:21:13,760 Speaker 2: is always at the most normal personal life. 456 00:21:14,320 --> 00:21:17,919 Speaker 3: So uh, she look, I covered her. She's an enigma. 457 00:21:18,040 --> 00:21:21,919 Speaker 2: That's the only way, Tea. She tried her hand at 458 00:21:21,960 --> 00:21:24,760 Speaker 2: being a more traditional first lady the whole be Best campaign, 459 00:21:24,760 --> 00:21:25,600 Speaker 2: which I'll never forget. 460 00:21:25,640 --> 00:21:26,040 Speaker 5: I was there. 461 00:21:27,240 --> 00:21:28,520 Speaker 3: Yeah, Wow, wild moment. 462 00:21:28,640 --> 00:21:30,360 Speaker 4: Remember when she wore that jacket. 463 00:21:30,920 --> 00:21:32,199 Speaker 3: I really don't care, do you? 464 00:21:33,000 --> 00:21:35,120 Speaker 2: Is that what it's said? Yeah, something like I really 465 00:21:35,119 --> 00:21:37,399 Speaker 2: don't care, do you? Yeah, that was a big moment. 466 00:21:37,480 --> 00:21:40,680 Speaker 2: And she eventually just basically retreated into herself and she's like, 467 00:21:40,720 --> 00:21:41,840 Speaker 2: I don't care about any. 468 00:21:41,640 --> 00:21:43,439 Speaker 3: Of this anymore. I can't really blame her. 469 00:21:43,440 --> 00:21:46,240 Speaker 2: I mean, in a certain sense, a lot of these politicians' wives, 470 00:21:46,440 --> 00:21:48,639 Speaker 2: you get dragged to a life that you never wanted. 471 00:21:48,760 --> 00:21:50,200 Speaker 3: I mean, it's really sure. 472 00:21:50,240 --> 00:21:52,840 Speaker 1: She thought did not think when she was marrying Donald 473 00:21:52,840 --> 00:21:54,280 Speaker 1: Trump that this was her future. 474 00:21:54,720 --> 00:21:56,520 Speaker 4: She thought, I get to be trophy wife. 475 00:21:56,600 --> 00:21:58,280 Speaker 1: I get to hang on it, have my dual life 476 00:21:58,440 --> 00:22:00,000 Speaker 1: mar A Lago and in New York City. 477 00:22:00,160 --> 00:22:01,000 Speaker 3: It's pretty good. 478 00:22:01,040 --> 00:22:03,800 Speaker 1: Like my son in peace and whatever, and do the 479 00:22:03,840 --> 00:22:05,720 Speaker 1: little things that I want to do. But that's it, 480 00:22:05,840 --> 00:22:06,080 Speaker 1: you know. 481 00:22:06,119 --> 00:22:07,160 Speaker 3: Yeah, well a lot of them. 482 00:22:07,240 --> 00:22:09,399 Speaker 2: It's I mean, it's honestly sad. If you read between 483 00:22:09,440 --> 00:22:12,920 Speaker 2: the lines of Obama's book and Michelle Obama's book, there's 484 00:22:12,960 --> 00:22:17,000 Speaker 2: some pretty brutal admissions of Obama being like I'm running 485 00:22:17,040 --> 00:22:19,640 Speaker 2: for office, and Michelle's like begging him, like please, don't 486 00:22:19,720 --> 00:22:21,080 Speaker 2: do it, want him, and he just did it, He 487 00:22:21,240 --> 00:22:22,920 Speaker 2: just and she was like, Okay, then my mom has 488 00:22:22,920 --> 00:22:24,720 Speaker 2: to live with us. And he's like, no, I don't 489 00:22:24,720 --> 00:22:26,199 Speaker 2: want that, and she's and she has, she has to 490 00:22:26,240 --> 00:22:28,920 Speaker 2: lay down the law. She hated being first Lady by 491 00:22:29,040 --> 00:22:31,000 Speaker 2: most by most accounts. 492 00:22:31,000 --> 00:22:31,800 Speaker 3: So I don't know. 493 00:22:31,840 --> 00:22:33,520 Speaker 2: Look, that's between them, you know, in terms of the 494 00:22:33,520 --> 00:22:35,840 Speaker 2: way that they conduct business. But yeah, it's not all 495 00:22:35,920 --> 00:22:38,399 Speaker 2: that uncommon, I guess to fall into something like this, 496 00:22:38,560 --> 00:22:40,680 Speaker 2: but it is noteworthy. I mean, I feel bad for 497 00:22:40,720 --> 00:22:42,400 Speaker 2: her in a certain stance. It's clearly she doesn't want 498 00:22:42,440 --> 00:22:44,439 Speaker 2: she does not want this life. She doesn't want this 499 00:22:44,520 --> 00:22:44,960 Speaker 2: life at all. 500 00:22:45,040 --> 00:22:47,960 Speaker 1: Yeah, I think that has been made very abundant. 501 00:22:48,000 --> 00:22:53,200 Speaker 3: Yes there, let's move on to the credit card. This. 502 00:22:53,200 --> 00:22:57,440 Speaker 2: This is interesting, This is enjoyable and actually kind of fun. Okay, 503 00:22:57,640 --> 00:23:00,000 Speaker 2: let's go ahead and put this up there on the screen. 504 00:23:00,200 --> 00:23:04,400 Speaker 2: So this all, this debate kicked off in elite circles 505 00:23:04,480 --> 00:23:08,119 Speaker 2: after Trump floated an idea at his rallies. So what 506 00:23:08,200 --> 00:23:11,080 Speaker 2: he said this was in September eighteenth, quote, while working 507 00:23:11,119 --> 00:23:14,280 Speaker 2: Americans catch up, we are going to put a temporary 508 00:23:14,320 --> 00:23:16,520 Speaker 2: cap on credit card interest rates. 509 00:23:16,960 --> 00:23:17,280 Speaker 3: Quote. 510 00:23:17,359 --> 00:23:19,960 Speaker 2: We are going to cap it at around ten percent. 511 00:23:20,359 --> 00:23:23,960 Speaker 2: We can't let them make twenty five and thirty percent. 512 00:23:24,240 --> 00:23:27,360 Speaker 2: So this is up there with some OG twenty sixteen 513 00:23:27,720 --> 00:23:31,040 Speaker 2: kind of Trump populous stuff, things like everybody will have 514 00:23:31,080 --> 00:23:34,919 Speaker 2: the best healthcare. In the more recent era, we have 515 00:23:35,040 --> 00:23:38,359 Speaker 2: seen three, I think proposals that really count in this regard. 516 00:23:38,440 --> 00:23:40,879 Speaker 2: One is saying no tax on tips. That was quickly 517 00:23:40,920 --> 00:23:44,879 Speaker 2: a proposal also adopted by Kamala Harris. Second is arguably 518 00:23:44,920 --> 00:23:48,520 Speaker 2: the most consequential for the federal deficit and for the irs, 519 00:23:48,600 --> 00:23:52,440 Speaker 2: which is that America will not tax Social Security benefits. 520 00:23:52,720 --> 00:23:55,639 Speaker 2: Third is now this idea that you should cap credit 521 00:23:55,680 --> 00:23:58,640 Speaker 2: card interest rates. Now the reason why it doesn't sound 522 00:23:58,720 --> 00:24:01,040 Speaker 2: that crazy and I actually totally agree with the policy, 523 00:24:01,200 --> 00:24:06,320 Speaker 2: but it would fundamentally change the entire credit card industry overnight, 524 00:24:06,400 --> 00:24:08,200 Speaker 2: and definitely not to my benefit as one of those 525 00:24:08,200 --> 00:24:10,760 Speaker 2: guys who plays of the points game. Let's put this 526 00:24:10,840 --> 00:24:13,359 Speaker 2: up there on the screen. So for example, Lawrence Wright, 527 00:24:13,520 --> 00:24:16,840 Speaker 2: of course, says quote or sorry. Laurence Summers says, a 528 00:24:16,920 --> 00:24:19,280 Speaker 2: cap on credit card interest rates is a far more 529 00:24:19,359 --> 00:24:23,360 Speaker 2: egregious price control than anything democrats have suggested. I am 530 00:24:23,400 --> 00:24:26,680 Speaker 2: not enthusiastic, to put it mildly, but democratic anti gouging 531 00:24:26,720 --> 00:24:29,240 Speaker 2: ideas none hold prices more than a few percent away 532 00:24:29,280 --> 00:24:31,840 Speaker 2: from market levels. That Trump plan would, in many cases 533 00:24:31,880 --> 00:24:35,600 Speaker 2: constrain credit costs to be seventy percent or more away 534 00:24:35,680 --> 00:24:38,000 Speaker 2: from market levels. I do not understand with all of 535 00:24:38,040 --> 00:24:41,560 Speaker 2: his tariffs, price controls, and arbitrary tracks provisions, Candidate Trump 536 00:24:41,600 --> 00:24:45,760 Speaker 2: is supported by market oriented conservatives. And that is kind 537 00:24:45,760 --> 00:24:48,879 Speaker 2: of the fun debate here is that even when Trump 538 00:24:48,960 --> 00:24:53,200 Speaker 2: floats this price control on credit card is that look, 539 00:24:53,480 --> 00:24:54,840 Speaker 2: we're all, let's all be real. 540 00:24:54,720 --> 00:24:56,880 Speaker 3: Like, is this really going to pass to GOP Congress? 541 00:24:57,119 --> 00:24:57,199 Speaker 5: No? 542 00:24:57,520 --> 00:24:59,639 Speaker 2: All right, but you know the idea I think it 543 00:24:59,680 --> 00:25:01,880 Speaker 2: is It was actually a decent one, I think, didn't 544 00:25:01,880 --> 00:25:02,120 Speaker 2: you say? 545 00:25:02,200 --> 00:25:04,040 Speaker 3: Is like Bernie Sanders AOC or. 546 00:25:04,359 --> 00:25:08,680 Speaker 1: AOC they actually believe they proposed capping at fifteen percent 547 00:25:08,800 --> 00:25:11,520 Speaker 1: right getting to the left of their proposals. 548 00:25:11,520 --> 00:25:13,080 Speaker 3: Well, I mean this is the way for us to 549 00:25:13,080 --> 00:25:13,640 Speaker 3: explain too. 550 00:25:13,680 --> 00:25:16,000 Speaker 2: It's like, okay, and you know that's interesting, right, So wait, 551 00:25:16,040 --> 00:25:18,239 Speaker 2: how could they not make any money through ten percent? Well, 552 00:25:18,320 --> 00:25:20,520 Speaker 2: they could, they wouldn't just make as much money as 553 00:25:20,520 --> 00:25:23,280 Speaker 2: they can at twenty five or thirty percent. And in fact, 554 00:25:23,320 --> 00:25:25,159 Speaker 2: and this is the sad admission from people like me 555 00:25:25,200 --> 00:25:28,040 Speaker 2: who take advantage of the points game, the vast majority 556 00:25:28,119 --> 00:25:30,520 Speaker 2: of these points are paid for by people who are 557 00:25:30,760 --> 00:25:33,760 Speaker 2: terribly in debt. As in, if you look at the 558 00:25:33,800 --> 00:25:37,400 Speaker 2: bottom line profits, and they're very open about it, American 559 00:25:37,400 --> 00:25:41,040 Speaker 2: Express and all these other companies, the vast, vast majority 560 00:25:41,119 --> 00:25:43,359 Speaker 2: of their income does not come from the two or 561 00:25:43,359 --> 00:25:47,119 Speaker 2: the three percent processing fee. It comes from balance with 562 00:25:47,280 --> 00:25:50,479 Speaker 2: high interest rates they're charging twenty five thirty percent. So 563 00:25:50,560 --> 00:25:53,000 Speaker 2: the reason and the argument from them is that the 564 00:25:53,040 --> 00:25:56,200 Speaker 2: way that we make credit widely available to the US 565 00:25:56,280 --> 00:25:59,919 Speaker 2: public is by charging exorbitant and interest rates because we 566 00:26:00,119 --> 00:26:02,520 Speaker 2: that means that we can eat it to give Sager 567 00:26:02,600 --> 00:26:06,640 Speaker 2: free flights to Europe whenever another person is doing this. Now, 568 00:26:06,760 --> 00:26:08,720 Speaker 2: you know, look, I can't change the system, so I'm 569 00:26:08,720 --> 00:26:10,720 Speaker 2: going to take advantage of it. But if it could 570 00:26:10,800 --> 00:26:13,000 Speaker 2: change the system, and you could cap it a ten percent, 571 00:26:13,200 --> 00:26:14,960 Speaker 2: that's not the worst thing in the world, because you've 572 00:26:14,960 --> 00:26:18,640 Speaker 2: got horrible amounts of credit card balances in debt at 573 00:26:18,640 --> 00:26:22,119 Speaker 2: an all time high level in twenty twenty four. People 574 00:26:22,240 --> 00:26:26,080 Speaker 2: are running up balances with very little financial literacy. These 575 00:26:26,080 --> 00:26:29,000 Speaker 2: credit card companies are also so predatory. I'm not sure 576 00:26:29,000 --> 00:26:31,720 Speaker 2: about you. I get offers in my email and in 577 00:26:31,800 --> 00:26:33,160 Speaker 2: my mail every day. 578 00:26:33,400 --> 00:26:37,320 Speaker 3: You've been prequalified for ten thousand dollars. What I didn't qualify? 579 00:26:37,400 --> 00:26:39,000 Speaker 3: I didn't apply for a damn loan. 580 00:26:39,720 --> 00:26:41,240 Speaker 1: When you go to shop at a store and they're 581 00:26:41,240 --> 00:26:43,520 Speaker 1: always trying to sign up to the store credit card 582 00:26:43,600 --> 00:26:45,960 Speaker 1: and whatever, and yeah, I mean this is like one 583 00:26:45,960 --> 00:26:47,640 Speaker 1: of the top ways and by the way, credit card 584 00:26:47,640 --> 00:26:48,359 Speaker 1: debt has sword. 585 00:26:48,840 --> 00:26:50,760 Speaker 3: Yeah, it's all the time right now, one of the top. 586 00:26:50,640 --> 00:26:53,920 Speaker 1: Ways that people get behind and cannot catch up. 587 00:26:54,040 --> 00:26:56,520 Speaker 3: If you're down thirty already, it's like, what do you 588 00:26:56,520 --> 00:26:56,800 Speaker 3: can do? 589 00:26:56,840 --> 00:26:59,000 Speaker 4: It's brutal. It's absolutely brutal. 590 00:26:59,080 --> 00:27:02,240 Speaker 1: I mean, if we both agree this is not happening, 591 00:27:02,440 --> 00:27:03,480 Speaker 1: but let's imagine it did. 592 00:27:03,520 --> 00:27:04,880 Speaker 3: Okay, Well, the debate is fun. 593 00:27:05,160 --> 00:27:08,800 Speaker 1: Yeah, debate is I mean, let's live in the theoretical reality, 594 00:27:08,880 --> 00:27:13,120 Speaker 1: right I think you would have an outcome immediately where 595 00:27:13,240 --> 00:27:16,560 Speaker 1: a lot of people lost access to the you know, 596 00:27:16,640 --> 00:27:20,120 Speaker 1: the availability of credit card debt that they have now, 597 00:27:20,160 --> 00:27:22,119 Speaker 1: And I do think it would be you would have 598 00:27:22,160 --> 00:27:24,120 Speaker 1: to have some sort of transition, because I do think 599 00:27:24,119 --> 00:27:27,400 Speaker 1: that there would be a difficult transition period if you've 600 00:27:27,400 --> 00:27:30,479 Speaker 1: got people who have basically, you know, relied on credit 601 00:27:30,480 --> 00:27:33,200 Speaker 1: cards to be able just to like live their life 602 00:27:33,200 --> 00:27:36,119 Speaker 1: and get groceries and you know, be able to like 603 00:27:36,200 --> 00:27:39,360 Speaker 1: afford to if they have a flat tire or some 604 00:27:39,440 --> 00:27:42,440 Speaker 1: kind of car trouble or whatever. But you know, yeah, 605 00:27:42,480 --> 00:27:43,959 Speaker 1: in the long run, do I think it would be 606 00:27:43,960 --> 00:27:47,080 Speaker 1: better if credit card companies were not able to gouge 607 00:27:47,080 --> 00:27:48,560 Speaker 1: consumers the way that they do now. 608 00:27:48,640 --> 00:27:49,480 Speaker 4: Yeah, and the same way. 609 00:27:49,520 --> 00:27:51,560 Speaker 1: This is the same argument, by the way that the 610 00:27:51,920 --> 00:27:53,960 Speaker 1: like free market argument that's being made here by Larry 611 00:27:54,000 --> 00:27:56,639 Speaker 1: Summers and others. It's the same one that's used to 612 00:27:56,800 --> 00:28:00,800 Speaker 1: justify payday lenders, Yes, which are some of the most 613 00:28:01,119 --> 00:28:06,600 Speaker 1: predatory exploited. It like the percentage of you know, the APR, 614 00:28:06,800 --> 00:28:10,400 Speaker 1: the rate that you pay on that is just loan 615 00:28:10,440 --> 00:28:14,760 Speaker 1: shark stuff. I mean, it really is insane and so 616 00:28:14,920 --> 00:28:17,280 Speaker 1: predator and they'll yeah, but people wouldn't use it if 617 00:28:17,320 --> 00:28:19,439 Speaker 1: they did. Any we're providing a service for you know, 618 00:28:19,560 --> 00:28:22,440 Speaker 1: for low income and working class consumers, et cetera, et cetera, 619 00:28:22,600 --> 00:28:24,879 Speaker 1: which you know, I mean, it's just a deeply dystopian 620 00:28:25,359 --> 00:28:28,200 Speaker 1: system debts throughout history. Not to go too deep here, 621 00:28:28,200 --> 00:28:30,440 Speaker 1: but it's used, you know, effectively as a tool of 622 00:28:30,520 --> 00:28:33,639 Speaker 1: like social control and compliance. It forces you if you 623 00:28:33,720 --> 00:28:36,280 Speaker 1: once you get behind, like you'll do anything to be able. 624 00:28:36,280 --> 00:28:38,400 Speaker 1: You'll work that second job, you'll work that third job, 625 00:28:38,440 --> 00:28:41,200 Speaker 1: you'll take the crap from your boss or whatever. Because 626 00:28:41,240 --> 00:28:45,880 Speaker 1: the alternative of bankruptcy and failure and public shame and 627 00:28:46,000 --> 00:28:47,920 Speaker 1: all of that is just so immense. 628 00:28:48,920 --> 00:28:50,320 Speaker 4: So I support it. 629 00:28:50,360 --> 00:28:53,720 Speaker 1: The The interesting thing that Larry Summers points to that, 630 00:28:53,880 --> 00:28:56,680 Speaker 1: you know, the one piece of that tweet that he's 631 00:28:56,760 --> 00:28:58,920 Speaker 1: right about is that you do have a lot of 632 00:28:59,000 --> 00:29:02,000 Speaker 1: quote unquote free mark conservatives who if this was. 633 00:29:01,920 --> 00:29:04,719 Speaker 4: Floated by Commed, they would totally lose their minds. 634 00:29:05,240 --> 00:29:10,040 Speaker 1: But they're betting that on this, on tariffs, on any 635 00:29:10,120 --> 00:29:14,760 Speaker 1: number of those ones in particular are on immigration, they're 636 00:29:14,800 --> 00:29:17,880 Speaker 1: betting he's they're betting the only part of the Trump 637 00:29:17,880 --> 00:29:21,240 Speaker 1: economically and that's actually serious is extending the Tax Cutting 638 00:29:21,320 --> 00:29:21,760 Speaker 1: Jobs Act. 639 00:29:21,840 --> 00:29:24,240 Speaker 4: And then, by the way, they're probably right, No. 640 00:29:24,400 --> 00:29:26,440 Speaker 3: They're definitely right, except about tariffs. 641 00:29:26,440 --> 00:29:28,240 Speaker 2: That's the one thing I'll push back on this because 642 00:29:28,240 --> 00:29:31,160 Speaker 2: the Commerce Department does have broadly way under. 643 00:29:31,240 --> 00:29:34,120 Speaker 3: I forget that was sectioned something I would have to 644 00:29:34,120 --> 00:29:34,800 Speaker 3: go back and look. 645 00:29:34,840 --> 00:29:37,240 Speaker 2: But what Trump was able to do, I mean, effectively 646 00:29:37,280 --> 00:29:39,640 Speaker 2: imposed almost two hundred fifty billion dollars in tariffs on 647 00:29:39,640 --> 00:29:43,440 Speaker 2: the Chinese economy with no congressional action. That Congress was 648 00:29:43,440 --> 00:29:45,320 Speaker 2: definitely pissed about it. They've tried to change the law, 649 00:29:45,520 --> 00:29:47,640 Speaker 2: they haven't done it. On the rest of it, things 650 00:29:47,720 --> 00:29:50,560 Speaker 2: like not taxing Social Security. Remember this, it's literally in 651 00:29:50,600 --> 00:29:53,760 Speaker 2: the constitution. Anything with tax has to come through the 652 00:29:53,880 --> 00:29:56,760 Speaker 2: US Congress. So that tells us the idea that we 653 00:29:56,760 --> 00:30:00,640 Speaker 2: would not pass that a GOP Congress of each kind 654 00:30:00,920 --> 00:30:04,120 Speaker 2: would pass no tax on tips insane. 655 00:30:04,360 --> 00:30:05,800 Speaker 3: Almost certainly not going to happen. 656 00:30:05,920 --> 00:30:07,960 Speaker 2: And if they did, they would offset it with something 657 00:30:08,040 --> 00:30:09,880 Speaker 2: in terms of a way to pay for it, which 658 00:30:09,840 --> 00:30:11,000 Speaker 2: should probably be way. 659 00:30:10,840 --> 00:30:11,520 Speaker 3: Worse for people. 660 00:30:11,800 --> 00:30:15,640 Speaker 2: Second, there is no way in hell, deficit hawks will 661 00:30:15,640 --> 00:30:19,040 Speaker 2: ever vote to not tax social Security because that is. 662 00:30:19,520 --> 00:30:21,440 Speaker 3: Hundreds of billions of dollars. 663 00:30:21,760 --> 00:30:23,280 Speaker 2: Think about how many old people are in this country 664 00:30:23,280 --> 00:30:25,479 Speaker 2: they get Social Security benefits, Then do the math for 665 00:30:25,520 --> 00:30:29,120 Speaker 2: the irs for the coffers not gonna happen again. They 666 00:30:29,120 --> 00:30:31,560 Speaker 2: would have to make that up, would probably very onerous 667 00:30:31,600 --> 00:30:34,400 Speaker 2: taxes on regular working people, and that would set up 668 00:30:34,400 --> 00:30:37,160 Speaker 2: a whole contrast between people who are already paying for Social 669 00:30:37,160 --> 00:30:39,480 Speaker 2: Security and they're not getting any tax, even though I 670 00:30:39,560 --> 00:30:42,200 Speaker 2: think that's pretty unfair. But then on the price control 671 00:30:42,240 --> 00:30:44,680 Speaker 2: thing with the credit cards, it would take an act 672 00:30:44,680 --> 00:30:46,840 Speaker 2: of Congress, and in fact, some of my friends who 673 00:30:46,880 --> 00:30:50,320 Speaker 2: work in Congress tell me one of the most the 674 00:30:50,320 --> 00:30:52,960 Speaker 2: piece of legislation they get lobbied on the most is 675 00:30:53,000 --> 00:30:56,400 Speaker 2: called like the Credit Card Fairness Act. And it doesn't 676 00:30:56,520 --> 00:30:59,680 Speaker 2: even cap interest rates or any of that. It injects, 677 00:30:59,680 --> 00:31:02,240 Speaker 2: I leave a little bit more competition into the system. 678 00:31:02,280 --> 00:31:06,720 Speaker 2: I'm not exactly sure, but it so dramatically threatens the 679 00:31:06,720 --> 00:31:10,400 Speaker 2: bottom line of Amax, Visa, and MasterCard. They will throw 680 00:31:10,800 --> 00:31:14,840 Speaker 2: anything at this to protect their monopoly. And that is 681 00:31:14,880 --> 00:31:18,800 Speaker 2: something where again, look, we have a quasi private system 682 00:31:19,040 --> 00:31:22,920 Speaker 2: where Visa, MasterCard and American Express not only can hold 683 00:31:23,040 --> 00:31:26,720 Speaker 2: retailers hostage for the processing fee that they get, they 684 00:31:26,720 --> 00:31:29,400 Speaker 2: have the payment network of the entire world. They process 685 00:31:29,480 --> 00:31:32,440 Speaker 2: like billions of dollars of transactions per second, and then 686 00:31:32,480 --> 00:31:34,600 Speaker 2: on top of that, with all of these reward systems 687 00:31:34,600 --> 00:31:37,480 Speaker 2: and like you're saying, with shops and all that, people 688 00:31:37,760 --> 00:31:42,239 Speaker 2: are duped basically into financial contracts that they have no 689 00:31:42,440 --> 00:31:45,520 Speaker 2: understanding of. So I believe in personal responsibility and all 690 00:31:45,560 --> 00:31:49,080 Speaker 2: of this, but that presumes financial education. We have zero 691 00:31:49,120 --> 00:31:50,560 Speaker 2: financial education in America. 692 00:31:50,960 --> 00:31:52,160 Speaker 3: Do the math? 693 00:31:52,200 --> 00:31:55,440 Speaker 2: Can people do basic math on what thirty percent interest means? 694 00:31:55,480 --> 00:31:58,200 Speaker 2: Like you were talking about about what financing groceries are? 695 00:31:58,320 --> 00:32:00,160 Speaker 2: What are you actually agreeing to if you take a 696 00:32:00,480 --> 00:32:03,440 Speaker 2: personal loan on your American Express card? 697 00:32:03,520 --> 00:32:04,440 Speaker 3: Like people don't know. 698 00:32:04,680 --> 00:32:07,520 Speaker 2: And so when you have that power and balance the people, 699 00:32:07,560 --> 00:32:09,480 Speaker 2: we are supposed to advocate for the government, the consumer 700 00:32:10,080 --> 00:32:11,959 Speaker 2: is supposed to be the government in this case, and 701 00:32:12,000 --> 00:32:15,000 Speaker 2: that's where what Trump is proposing. It's not a terrible idea, 702 00:32:15,200 --> 00:32:17,760 Speaker 2: but yeah, it would shrink credit a lot. But again, 703 00:32:17,800 --> 00:32:20,440 Speaker 2: if you believe in personal responsibility, maybe that's not the 704 00:32:20,440 --> 00:32:22,120 Speaker 2: worst thing in the world. People shouldn't be floating their 705 00:32:22,200 --> 00:32:23,400 Speaker 2: entire lives on credit cards. 706 00:32:23,440 --> 00:32:26,520 Speaker 1: I mean, it's not like those people want to be 707 00:32:26,600 --> 00:32:27,360 Speaker 1: in that position. 708 00:32:27,640 --> 00:32:29,160 Speaker 3: Well, it's a very convenient thing. 709 00:32:29,360 --> 00:32:33,600 Speaker 1: What happens is wages have not kept up, you know, 710 00:32:33,640 --> 00:32:36,200 Speaker 1: And I'm not just talking about right now with inflation, 711 00:32:36,360 --> 00:32:39,960 Speaker 1: which is obviously really put a hit on people's real 712 00:32:40,440 --> 00:32:42,960 Speaker 1: like real earnings and what they can actually buy with 713 00:32:43,040 --> 00:32:43,560 Speaker 1: their dollar. 714 00:32:43,760 --> 00:32:47,440 Speaker 4: But I'm talking over forty years, four years where. 715 00:32:47,240 --> 00:32:51,720 Speaker 1: Wages have not kept up with increases in productivity, have 716 00:32:51,840 --> 00:32:55,040 Speaker 1: not kept up with key you know, the key basics 717 00:32:55,080 --> 00:32:58,160 Speaker 1: of a middle class life. I'm talking housing, I'm talking education, 718 00:32:58,240 --> 00:33:03,560 Speaker 1: I'm talking healthcare. And so instead of wages keeping up, 719 00:33:03,960 --> 00:33:07,640 Speaker 1: instead people have been pushed into this like usury economy, 720 00:33:07,960 --> 00:33:10,720 Speaker 1: where the only way that they can you know, really 721 00:33:10,720 --> 00:33:14,400 Speaker 1: make it month to month is by relying on these 722 00:33:14,440 --> 00:33:20,400 Speaker 1: exploitative credit card issuers. And so yeah, if you if 723 00:33:20,440 --> 00:33:22,560 Speaker 1: you disrupt that, I mean it is. It is a 724 00:33:22,640 --> 00:33:26,960 Speaker 1: gigantic disruption, There's no doubt about it. And so in 725 00:33:27,000 --> 00:33:29,440 Speaker 1: any case, again it's you know, it's interesting to think 726 00:33:29,480 --> 00:33:32,040 Speaker 1: about how this would play out. It's interesting to think of. 727 00:33:32,040 --> 00:33:34,400 Speaker 1: Of course, there's the credit card issues where. 728 00:33:34,480 --> 00:33:35,440 Speaker 4: Lose their minds. 729 00:33:35,480 --> 00:33:38,160 Speaker 1: They would move heaven and earth to make sure that 730 00:33:38,280 --> 00:33:40,520 Speaker 1: this never saw the light of day. There would be 731 00:33:40,600 --> 00:33:43,160 Speaker 1: plenty of Republicans and Democrats who would go along with it. 732 00:33:43,440 --> 00:33:46,440 Speaker 1: Donald Trump has shown no desire or willingness to stand 733 00:33:46,520 --> 00:33:48,960 Speaker 1: up to the you know, billionaire Glass or Wall Street 734 00:33:49,040 --> 00:33:51,480 Speaker 1: or whatever. So it's not like we actually expect this 735 00:33:51,520 --> 00:33:53,840 Speaker 1: to happen, but it is interesting him trying to sound 736 00:33:53,840 --> 00:33:56,800 Speaker 1: some of those populous notes. But going back to the 737 00:33:58,040 --> 00:34:03,640 Speaker 1: disparate reaction between when Kamala Harris proposed an anti price 738 00:34:03,720 --> 00:34:07,840 Speaker 1: gouging law which was left relatively vague. 739 00:34:07,880 --> 00:34:11,760 Speaker 3: Which not even relatively quite meg entirely vague detail. 740 00:34:12,080 --> 00:34:14,080 Speaker 1: You know, in theory it was supposed to like, you know, 741 00:34:14,560 --> 00:34:17,400 Speaker 1: mirror some legislation Elizabeth Warren to put together, but the 742 00:34:17,440 --> 00:34:20,719 Speaker 1: details were never really firmly established. Looks to be very 743 00:34:20,760 --> 00:34:24,320 Speaker 1: similar to legislation that already exists in something like thirty 744 00:34:24,360 --> 00:34:25,720 Speaker 1: eight states across the country. 745 00:34:25,840 --> 00:34:28,520 Speaker 4: Like not a radical proposal whatsoever. 746 00:34:29,200 --> 00:34:33,239 Speaker 1: The level of freak out about that from the Trump 747 00:34:33,360 --> 00:34:37,320 Speaker 1: side of the equation, including Donald Trump himself, quite different. 748 00:34:37,640 --> 00:34:41,920 Speaker 6: Price controls that's been tried in many times, the former 749 00:34:41,920 --> 00:34:45,160 Speaker 6: Soviet Union Venezuela, even in this country in the seventies 750 00:34:45,360 --> 00:34:48,359 Speaker 6: was a disaster every time it's been tried, no matter 751 00:34:48,400 --> 00:34:51,799 Speaker 6: over hundreds of years, not just over hundreds of years, 752 00:34:51,880 --> 00:34:55,239 Speaker 6: price controls, you end up with no product, you end 753 00:34:55,360 --> 00:34:58,279 Speaker 6: up with massive inflation, and you end up with the 754 00:34:58,320 --> 00:35:01,240 Speaker 6: destruction of a How is this and her only idea 755 00:35:01,320 --> 00:35:05,480 Speaker 6: for solving inflation is to impose Communists inspired price controls 756 00:35:05,840 --> 00:35:06,920 Speaker 6: which have never worked. 757 00:35:07,200 --> 00:35:10,440 Speaker 1: So there you have Trump himself of ag Ramaswami also 758 00:35:10,640 --> 00:35:12,480 Speaker 1: sounding similar notes, let's take a listen to that. 759 00:35:12,719 --> 00:35:15,520 Speaker 7: But their grand economic idea that she unveiled, the Nobel 760 00:35:15,600 --> 00:35:19,719 Speaker 7: prize winning plan perhaps to control price gouging in the 761 00:35:19,719 --> 00:35:22,399 Speaker 7: grocery market with price controls. She didn't get a great 762 00:35:22,400 --> 00:35:24,400 Speaker 7: response to that. That was actually the first thing that 763 00:35:24,440 --> 00:35:27,280 Speaker 7: burst the bubble of the honeymoon period that Kamala Harris 764 00:35:27,280 --> 00:35:29,520 Speaker 7: has been in. And so the reality is she kind 765 00:35:29,560 --> 00:35:32,560 Speaker 7: of learned her lesson. It's like a Pavlovian training teaching 766 00:35:32,560 --> 00:35:34,680 Speaker 7: her that, Okay, the more you talk about policy, the 767 00:35:34,760 --> 00:35:35,520 Speaker 7: dog bites back. 768 00:35:35,560 --> 00:35:37,320 Speaker 4: You say, you don't want to do that anymore. 769 00:35:37,440 --> 00:35:40,320 Speaker 1: Interesting commentary there too, because actually, if you pull the 770 00:35:40,320 --> 00:35:42,680 Speaker 1: American people there overwhelmingly and supported the plan. But it 771 00:35:42,719 --> 00:35:44,759 Speaker 1: is true she did get some donor pushback and has 772 00:35:44,840 --> 00:35:47,960 Speaker 1: not talked much about it since that moment. Ben Shapiro 773 00:35:48,120 --> 00:35:51,200 Speaker 1: also weighed in on the Kamala price gouging proposal. He 774 00:35:51,200 --> 00:35:52,960 Speaker 1: could put his tweet up on the screen he says, 775 00:35:53,040 --> 00:35:56,400 Speaker 1: Kamala's campaign is basically joy and free money and price 776 00:35:56,440 --> 00:35:59,080 Speaker 1: controls and no questions if Americans vote for this. Well, 777 00:35:59,120 --> 00:36:00,840 Speaker 1: Mankin was right, to my sees the theory that the 778 00:36:00,880 --> 00:36:02,920 Speaker 1: common people know what they want and deserve to get 779 00:36:02,960 --> 00:36:07,920 Speaker 1: it good and hard. And again her proposal is so 780 00:36:08,080 --> 00:36:12,839 Speaker 1: modest and very much non revolutionary compared to cap on 781 00:36:13,000 --> 00:36:14,200 Speaker 1: credit card interest rates. 782 00:36:14,239 --> 00:36:16,640 Speaker 4: But you know it really for. 783 00:36:16,680 --> 00:36:20,320 Speaker 1: Me, Sager exposes the fact that it's such a damn 784 00:36:20,360 --> 00:36:23,239 Speaker 1: shame that Trump isn't who he said he was in 785 00:36:23,280 --> 00:36:28,040 Speaker 1: twenty sixteen, because all of these partisan hacks will go 786 00:36:28,160 --> 00:36:31,600 Speaker 1: along with whatever he says, like they Ben Shapiro and 787 00:36:31,719 --> 00:36:33,280 Speaker 1: Vivek Ramaswami and. 788 00:36:33,200 --> 00:36:35,960 Speaker 4: You know, Bill Ackman whatever. 789 00:36:36,000 --> 00:36:39,399 Speaker 1: The billionaires are behind him at this point, Like if 790 00:36:39,400 --> 00:36:42,440 Speaker 1: he gets behind a policy, somedly they forget all their 791 00:36:42,520 --> 00:36:45,239 Speaker 1: like price control bles because it is a cult of personality, 792 00:36:45,400 --> 00:36:47,719 Speaker 1: and the downside of the culture personality is that no 793 00:36:47,719 --> 00:36:50,239 Speaker 1: one dessends. And the upside of the cult of personality 794 00:36:50,280 --> 00:36:52,840 Speaker 1: is that you can force through things that otherwise would 795 00:36:52,840 --> 00:36:57,720 Speaker 1: not be possible. But he shows zero interest in actually 796 00:36:57,760 --> 00:37:01,920 Speaker 1: effectuating most of their you know, a few exceptions that 797 00:37:02,000 --> 00:37:04,960 Speaker 1: I will grant you, but the overwhelming majority of the 798 00:37:05,080 --> 00:37:08,320 Speaker 1: populist leanings that he gave voice to in twenty sixteen, 799 00:37:08,960 --> 00:37:11,160 Speaker 1: that's not what is sitting on the shelf. That's not 800 00:37:11,320 --> 00:37:13,800 Speaker 1: what's easy to get through Congress. That's not what's easy 801 00:37:13,840 --> 00:37:16,960 Speaker 1: to pass muster with the donor set and so buy 802 00:37:17,000 --> 00:37:19,000 Speaker 1: and large. These just get floated at a rally and 803 00:37:19,040 --> 00:37:22,080 Speaker 1: then just like how you're going to have great universal 804 00:37:22,120 --> 00:37:23,719 Speaker 1: health care, never end up actually having. 805 00:37:23,760 --> 00:37:27,919 Speaker 2: The lesson is really about what your priority is when 806 00:37:27,960 --> 00:37:32,400 Speaker 2: fighting with Congress, And in twenty seventeen you just didn't fight, basically, 807 00:37:32,440 --> 00:37:34,759 Speaker 2: just did whatever they wanted to do, and that's how 808 00:37:34,760 --> 00:37:37,480 Speaker 2: you got TCJA. Now, whenever he had full authority, like 809 00:37:37,520 --> 00:37:39,360 Speaker 2: on something you really believed in, like tariffs, it was 810 00:37:39,360 --> 00:37:42,120 Speaker 2: a different story. And that's why you know on immigrations 811 00:37:42,120 --> 00:37:43,799 Speaker 2: a few other places where you have it's a full 812 00:37:43,880 --> 00:37:47,080 Speaker 2: executive authority, or in foreign policy, yeah, you should really 813 00:37:47,080 --> 00:37:49,239 Speaker 2: pay attention and listen because that's what you actually can do. 814 00:37:49,520 --> 00:37:52,440 Speaker 2: But whenever it comes to this, anything to do with tax, 815 00:37:52,560 --> 00:37:55,080 Speaker 2: anything to do with a capping credit card interest in 816 00:37:55,080 --> 00:37:58,920 Speaker 2: all that, the president basically is it's impossible to unilaterally 817 00:37:58,960 --> 00:38:01,760 Speaker 2: act and the lobbyist and all that know that. Because listen, 818 00:38:02,080 --> 00:38:05,240 Speaker 2: if Visa, MasterCard and all of them were really taking 819 00:38:05,239 --> 00:38:07,360 Speaker 2: this seriously, you would see a hell of all oh 820 00:38:07,480 --> 00:38:10,160 Speaker 2: yeah donations. But they're laughing all the way to the 821 00:38:10,160 --> 00:38:12,960 Speaker 2: bank because they know how to work the CongressI Like 822 00:38:12,960 --> 00:38:15,200 Speaker 2: I said, if you can't even get whatever the Credit 823 00:38:15,200 --> 00:38:18,080 Speaker 2: Card Fairness Act through Congress, good luck getting a ten 824 00:38:18,120 --> 00:38:19,680 Speaker 2: percent cap on interest rates. 825 00:38:19,719 --> 00:38:20,720 Speaker 3: It would never happen. 826 00:38:20,840 --> 00:38:23,439 Speaker 1: Yeah, you would have to make this the fight of 827 00:38:23,480 --> 00:38:24,719 Speaker 1: your for your life life. 828 00:38:25,120 --> 00:38:27,080 Speaker 2: By the way, it would also be like ninety percent popular. 829 00:38:27,080 --> 00:38:29,360 Speaker 2: I would guarantee you if you were to be like eighty. 830 00:38:29,280 --> 00:38:31,400 Speaker 4: Nine hugely popular. That's the you know. 831 00:38:31,440 --> 00:38:33,880 Speaker 1: I mean, this is the interesting thing about the American 832 00:38:33,880 --> 00:38:36,799 Speaker 1: public is when you ask them about these people, they're like, socialism, 833 00:38:36,880 --> 00:38:37,440 Speaker 1: let's do it. 834 00:38:37,680 --> 00:38:39,360 Speaker 3: But I wouldn't call that socialism. 835 00:38:39,680 --> 00:38:42,040 Speaker 4: There's been many print controls. Then let's do it. 836 00:38:42,160 --> 00:38:44,879 Speaker 2: Credit card interest rates are by this is the other woo. 837 00:38:44,960 --> 00:38:46,840 Speaker 2: Let the free market decide. Do you know how highly 838 00:38:46,880 --> 00:38:49,480 Speaker 2: regulated credit card interest rates are? And about all the 839 00:38:49,640 --> 00:38:54,240 Speaker 2: number of consumer protection the Bureau and the Treasury Department, 840 00:38:54,320 --> 00:38:58,000 Speaker 2: and the way the government subsidies and all these companies 841 00:38:58,280 --> 00:39:01,040 Speaker 2: get so I just cut me break whenever we're talking 842 00:39:01,080 --> 00:39:01,400 Speaker 2: about that. 843 00:39:01,600 --> 00:39:03,680 Speaker 3: All right, Let's get to our guest. Seth harp is 844 00:39:03,719 --> 00:39:04,880 Speaker 3: great standing. 845 00:39:04,480 --> 00:39:09,400 Speaker 2: By joining us now is Seth Harpy is a contributing 846 00:39:09,480 --> 00:39:11,440 Speaker 2: editor at Rolling Stone and is the author of the 847 00:39:11,440 --> 00:39:15,400 Speaker 2: forthcoming book The Fort Bragg Kartel in July of twenty 848 00:39:15,400 --> 00:39:15,839 Speaker 2: twenty five. 849 00:39:15,840 --> 00:39:17,600 Speaker 3: We're excited to see him. Thanks for coming on the show. 850 00:39:18,200 --> 00:39:19,040 Speaker 5: Thanks for having me. 851 00:39:19,160 --> 00:39:19,799 Speaker 3: Absolutely so. 852 00:39:20,000 --> 00:39:21,719 Speaker 2: The reason we booked you is not only because of 853 00:39:21,760 --> 00:39:24,359 Speaker 2: your forthcoming book subject, but because of a graph that 854 00:39:24,400 --> 00:39:27,080 Speaker 2: really caught our eye. Let's put this up there on 855 00:39:27,239 --> 00:39:30,600 Speaker 2: the screen. A lot of perhaps counterintuitive depending on what 856 00:39:30,880 --> 00:39:34,000 Speaker 2: you thought about the US presence in Afghanistan, but according 857 00:39:34,040 --> 00:39:38,160 Speaker 2: to the Financial Times, poppy in poppy growing in Hellman Province, 858 00:39:38,280 --> 00:39:45,000 Speaker 2: Afghanistan has fallen ninety nine percent since the US withdrawal. So, Seth, 859 00:39:45,080 --> 00:39:47,440 Speaker 2: considering the title of your book, considering a lot of 860 00:39:47,440 --> 00:39:50,279 Speaker 2: discussion over the last twenty years about opium and the 861 00:39:50,360 --> 00:39:53,840 Speaker 2: US role and cultivation poppy and heroin, what do you 862 00:39:53,840 --> 00:39:56,399 Speaker 2: make of that graph and considering what you're writing about, 863 00:39:56,440 --> 00:39:58,600 Speaker 2: what can you shed light on some of the background 864 00:39:58,760 --> 00:39:59,480 Speaker 2: of why that is? 865 00:40:00,080 --> 00:40:02,799 Speaker 5: Well, it's really stunning and it's only now that the 866 00:40:02,880 --> 00:40:06,920 Speaker 5: Taliban has been in control of Afghanistan for several years 867 00:40:06,960 --> 00:40:11,400 Speaker 5: that were able to fully judge what the true history 868 00:40:11,440 --> 00:40:15,120 Speaker 5: of the heroin trade in Afghanistan really was. In its 869 00:40:15,160 --> 00:40:18,919 Speaker 5: significance from two thousand and one to twenty twenty one, 870 00:40:19,000 --> 00:40:23,360 Speaker 5: during the twenty years of US occupation, before the Taliban 871 00:40:23,400 --> 00:40:27,600 Speaker 5: took over and completely eradicated the country's entire poppy prop 872 00:40:27,880 --> 00:40:31,920 Speaker 5: it was kind of difficult to say who was responsible 873 00:40:31,960 --> 00:40:35,400 Speaker 5: for that drug production. But actually what the Taliban have 874 00:40:35,600 --> 00:40:39,360 Speaker 5: just done in twenty twenty two was an exact repeat 875 00:40:39,440 --> 00:40:41,680 Speaker 5: of something that they did in two thousand and one, 876 00:40:42,440 --> 00:40:47,040 Speaker 5: which was to eradicate all drug production from Afghanistan, poppy 877 00:40:47,040 --> 00:40:52,799 Speaker 5: cultivation and the synthesis of heroin laboratories. And in the 878 00:40:52,800 --> 00:40:55,640 Speaker 5: process of writing the book, I learned a lot about 879 00:40:55,680 --> 00:41:01,200 Speaker 5: the heroin trade in Afghanistan and compiled basically of facts 880 00:41:01,200 --> 00:41:04,799 Speaker 5: that I think every American citizen should know about their 881 00:41:04,840 --> 00:41:08,640 Speaker 5: government support for international drug cartels, which actually goes back 882 00:41:09,000 --> 00:41:11,560 Speaker 5: to the nineteen eighties. So I'd be happy to run 883 00:41:11,600 --> 00:41:13,280 Speaker 5: down or if you guys just want to ask questions 884 00:41:13,320 --> 00:41:14,240 Speaker 5: in general about. 885 00:41:14,000 --> 00:41:17,240 Speaker 4: The subject any us what you got. 886 00:41:18,120 --> 00:41:21,319 Speaker 5: Like, I said, us intervention. Excuse me. US support for 887 00:41:21,520 --> 00:41:24,920 Speaker 5: drug traffickers in Afghanistan goes back to the nineteen eighties 888 00:41:26,120 --> 00:41:29,680 Speaker 5: when the Soviet Army occupied Afghanistan, and a lot of 889 00:41:29,680 --> 00:41:33,000 Speaker 5: people are familiar with the so called Charlie Wilson's War, 890 00:41:34,040 --> 00:41:39,440 Speaker 5: the America's covert war in Afghanistan to drive out the 891 00:41:39,520 --> 00:41:44,360 Speaker 5: Soviet occupiers by arming and bunding certain warlords to wage 892 00:41:44,719 --> 00:41:49,040 Speaker 5: guerrilla war in that country against the Russians. And it's 893 00:41:49,080 --> 00:41:51,120 Speaker 5: also pretty well known that a lot of these people 894 00:41:51,120 --> 00:41:56,880 Speaker 5: were radical Islamis and that this covert program led to 895 00:41:57,200 --> 00:42:00,680 Speaker 5: the formation of al Qaeda and the events that led 896 00:42:00,719 --> 00:42:03,200 Speaker 5: to nine to eleven are contributed to it. That was 897 00:42:03,239 --> 00:42:06,680 Speaker 5: in the background of it. But it's less well known 898 00:42:06,840 --> 00:42:10,480 Speaker 5: that those same Mujahadeen as are often called, many of 899 00:42:10,480 --> 00:42:13,880 Speaker 5: them were deeply involved in the drug trade. This is 900 00:42:13,920 --> 00:42:16,880 Speaker 5: something that we don't hear much about, although it is 901 00:42:16,920 --> 00:42:18,759 Speaker 5: out there in the open. I think that Steve Cole, 902 00:42:18,800 --> 00:42:21,799 Speaker 5: writing for the Washington Posts in the early nineties, was 903 00:42:21,840 --> 00:42:25,800 Speaker 5: one of the first to describe this googleding. Heck Winzar 904 00:42:25,880 --> 00:42:29,120 Speaker 5: and nasieing Akrunzada were two of the biggest recipients of 905 00:42:29,200 --> 00:42:32,040 Speaker 5: CIA cash and arms and both of them were two 906 00:42:32,080 --> 00:42:36,400 Speaker 5: of the biggest narcos in Afghanistan. And once the Russians 907 00:42:36,400 --> 00:42:41,680 Speaker 5: had successfully been driven out, they set about transforming Afghanistan 908 00:42:41,800 --> 00:42:46,520 Speaker 5: essentially into the world's largest poppy plantation, because the geography 909 00:42:46,520 --> 00:42:50,239 Speaker 5: and climate of Afghanistan are very advantageous for the cultivation 910 00:42:51,080 --> 00:42:54,440 Speaker 5: of poppy, and through their brutal methods, they forced a 911 00:42:54,480 --> 00:42:59,040 Speaker 5: lot of Afghanistans peasantry into conditions of essentially narco serfdom 912 00:42:59,560 --> 00:43:02,520 Speaker 5: and allated people to plant poppy when in the past 913 00:43:02,520 --> 00:43:06,680 Speaker 5: they've been planting food crops or fruit. And so the 914 00:43:06,760 --> 00:43:10,360 Speaker 5: nineteen nineties in Afghanistan is a kind of forgotten interlude. 915 00:43:10,440 --> 00:43:12,879 Speaker 5: But there was a drug war there essentially the same 916 00:43:12,920 --> 00:43:15,480 Speaker 5: as there was a drug war in Columbia and there 917 00:43:15,560 --> 00:43:20,080 Speaker 5: is one in Mexico today. And the Taliban actually emerged 918 00:43:20,440 --> 00:43:23,799 Speaker 5: as a reaction to the infighting between these warlords. And 919 00:43:23,880 --> 00:43:27,440 Speaker 5: you know, we hear a lot about the Taliban's wicked 920 00:43:27,480 --> 00:43:31,040 Speaker 5: ideology and their refreshion of women and how they don't 921 00:43:31,040 --> 00:43:34,680 Speaker 5: allow music and kites and things like that, but we 922 00:43:34,800 --> 00:43:37,759 Speaker 5: never hear about their anti narcotics agenda. But that was 923 00:43:37,800 --> 00:43:42,240 Speaker 5: actually fundamental to their ideological identity from the very beginning. 924 00:43:42,719 --> 00:43:46,560 Speaker 5: The Taliban, as you might imagine, being such a conservative movement, 925 00:43:47,080 --> 00:43:49,680 Speaker 5: didn't look kindly upon the production of drugs or the 926 00:43:49,680 --> 00:43:53,080 Speaker 5: consumption of drugs either. And as I alluded to a 927 00:43:53,120 --> 00:43:57,520 Speaker 5: moment ago, once they had consolidated control of Afghanistan's major 928 00:43:57,560 --> 00:44:01,160 Speaker 5: population centers after a civil war or in the nineteen nineties, 929 00:44:01,960 --> 00:44:05,920 Speaker 5: they completely eradicated all of the heroin production that was 930 00:44:05,960 --> 00:44:09,480 Speaker 5: taking place in Afghanistan in two thousand and one, that was. 931 00:44:09,560 --> 00:44:13,040 Speaker 5: That eradication effort was completed in the summer of two 932 00:44:13,120 --> 00:44:16,480 Speaker 5: thousand and one, and some experts at the time described 933 00:44:16,480 --> 00:44:18,840 Speaker 5: it as the most dramatic event in the history of 934 00:44:18,920 --> 00:44:22,560 Speaker 5: drugs markets. They completely had the history of illegal drug markets. 935 00:44:22,840 --> 00:44:28,279 Speaker 5: They completely decimated the world supply of heroin, eliminated something 936 00:44:28,320 --> 00:44:31,760 Speaker 5: like ninety five percent of heroin from the global black market. 937 00:44:32,560 --> 00:44:35,160 Speaker 5: That was, as I said, in the summer of two 938 00:44:35,200 --> 00:44:35,879 Speaker 5: thousand and one. 939 00:44:36,160 --> 00:44:38,080 Speaker 1: That's let me pause you for one second, because I 940 00:44:38,080 --> 00:44:41,800 Speaker 1: have a question about that piece that also connects with today. Yeah, 941 00:44:41,920 --> 00:44:46,200 Speaker 1: what sort of tactics did they use to have this 942 00:44:46,320 --> 00:44:48,040 Speaker 1: level of complete eradication. 943 00:44:49,239 --> 00:44:51,600 Speaker 5: That's a good question. As far as I can tell, 944 00:44:51,920 --> 00:44:54,520 Speaker 5: they just went around telling people hey, you can't do 945 00:44:54,600 --> 00:44:58,719 Speaker 5: that anymore. They didn't, really, they didn't don't pesticide from airplanes. 946 00:44:58,960 --> 00:45:01,760 Speaker 5: They didn't use any of the be handed eradication methods 947 00:45:02,080 --> 00:45:05,160 Speaker 5: that the US and proxy forces or client states that 948 00:45:05,320 --> 00:45:09,000 Speaker 5: use in countries like Columbia for example, you know, very 949 00:45:09,040 --> 00:45:12,120 Speaker 5: low tech methods using sticks to beat down the plants 950 00:45:12,200 --> 00:45:14,400 Speaker 5: or tractors to uproot fields. 951 00:45:14,920 --> 00:45:18,840 Speaker 1: And were people just afraid of the consequences of not 952 00:45:18,960 --> 00:45:19,920 Speaker 1: listening to the Taliban? 953 00:45:21,440 --> 00:45:24,080 Speaker 5: That's a good question. I'm not sure, I suppose so. 954 00:45:24,120 --> 00:45:27,240 Speaker 5: I mean, the obvious answer is yes, the Talibans the 955 00:45:27,280 --> 00:45:30,040 Speaker 5: government has monopoly on the use of force there, and 956 00:45:30,080 --> 00:45:34,399 Speaker 5: people didn't disobey when told to stop growing poppy. So sure, 957 00:45:34,719 --> 00:45:37,440 Speaker 5: here the consequences. But I'm not able to find very 958 00:45:37,440 --> 00:45:41,160 Speaker 5: many reports of violence in this latest eradication campaign. A 959 00:45:41,160 --> 00:45:45,279 Speaker 5: few sporadic shootings between you know, traffickers that resisted, but 960 00:45:45,320 --> 00:45:47,600 Speaker 5: for the most part, yeah, they seem to have just 961 00:45:47,680 --> 00:45:48,640 Speaker 5: asked people nicely. 962 00:45:49,080 --> 00:45:53,120 Speaker 1: And so when we invade Afghanistan, what is our relationship 963 00:45:53,320 --> 00:45:55,520 Speaker 1: to the cultivation of poppy? 964 00:45:56,520 --> 00:45:59,680 Speaker 5: Well, so the US invaded Afghanistan just five months after 965 00:45:59,719 --> 00:46:05,120 Speaker 5: they completely eradicated poppy from Afghanistan, and that invasion force 966 00:46:05,200 --> 00:46:08,640 Speaker 5: was led by the CIA, backed by Jasog and Delta Force, 967 00:46:09,120 --> 00:46:11,520 Speaker 5: and they immediately teamed up with many of the same 968 00:46:12,239 --> 00:46:14,840 Speaker 5: narco warlords that had taken refuge in the north of 969 00:46:14,880 --> 00:46:17,560 Speaker 5: the country, which was the only part of Afghanistan where 970 00:46:17,600 --> 00:46:22,080 Speaker 5: heroin productions was still taking place. And we called that 971 00:46:22,160 --> 00:46:28,120 Speaker 5: group of militias and warlords the Northern Alliance. And not 972 00:46:28,239 --> 00:46:29,600 Speaker 5: all of that. I don't want to say that every 973 00:46:29,640 --> 00:46:32,640 Speaker 5: single one of the individuals that was part of the 974 00:46:32,680 --> 00:46:35,440 Speaker 5: effort was involved in drug trafficking, but many of them, 975 00:46:35,520 --> 00:46:39,200 Speaker 5: especially the Tajik and Uzbek warlords, you know Rashi Dost them, 976 00:46:39,280 --> 00:46:43,040 Speaker 5: I think chief among them, were deeply involved in the 977 00:46:43,080 --> 00:46:47,719 Speaker 5: international heroin trade, and the CIA knew it. And when 978 00:46:47,719 --> 00:46:51,000 Speaker 5: they installed the new Afghan government led by Hamed Karzai, 979 00:46:51,320 --> 00:46:55,200 Speaker 5: one of the government's first actions was to legalize poppy cultivations, 980 00:46:55,560 --> 00:46:58,880 Speaker 5: the fact that went almost entirely unremarked in the American press. 981 00:46:59,680 --> 00:47:03,319 Speaker 5: Within a single year, heroin production in Afghanistan was back 982 00:47:03,360 --> 00:47:08,360 Speaker 5: to pre Taliban highs of production. There were known narcotics 983 00:47:08,400 --> 00:47:14,240 Speaker 5: traffickers in control of all of Afghanistan's major heroin producing areas, 984 00:47:14,280 --> 00:47:20,319 Speaker 5: including the Helman Narangahar, Condahar, Jalalabad, all these areas where 985 00:47:21,320 --> 00:47:26,160 Speaker 5: either poppy was cultivated or heroin was traffick internationally, and 986 00:47:26,200 --> 00:47:31,240 Speaker 5: within eight years Afghanistan was producing ten times more heroin 987 00:47:31,320 --> 00:47:34,080 Speaker 5: than the rest of the world combined. It was the 988 00:47:34,239 --> 00:47:39,800 Speaker 5: largest drug output. It was the largest production of heroin 989 00:47:40,120 --> 00:47:42,919 Speaker 5: or any drug in world history. I mean, I really 990 00:47:42,920 --> 00:47:47,319 Speaker 5: want to emphasize the scale of this heroin in Afghanistan. 991 00:47:47,480 --> 00:47:50,840 Speaker 5: The production of it was around topped out and stayed 992 00:47:50,960 --> 00:47:54,960 Speaker 5: at the level of about one thousand metric tons of 993 00:47:55,000 --> 00:47:59,719 Speaker 5: pure heroin per year for almost fifteen to twenty years on. 994 00:48:00,000 --> 00:48:03,520 Speaker 5: And that's double the global demand for heroin. So they're 995 00:48:03,520 --> 00:48:06,760 Speaker 5: producing twice as much heroin as the entire world can absorb. 996 00:48:07,640 --> 00:48:11,640 Speaker 5: Mexico is the second place producer, only puts out about 997 00:48:11,719 --> 00:48:17,320 Speaker 5: fifty tons of heroin a year, Colombia twenty tons of heroin. 998 00:48:17,600 --> 00:48:19,440 Speaker 5: The only other country that's even on the map is 999 00:48:19,440 --> 00:48:21,120 Speaker 5: me and more and I think they produced like one 1000 00:48:21,200 --> 00:48:22,000 Speaker 5: or two tons. 1001 00:48:22,080 --> 00:48:22,279 Speaker 3: Wow. 1002 00:48:22,320 --> 00:48:25,960 Speaker 5: And again Afghanistan producing one thousand tons of pure heroin 1003 00:48:26,080 --> 00:48:26,640 Speaker 5: per year. 1004 00:48:26,840 --> 00:48:30,240 Speaker 2: So seth to stick with then the title of your book, 1005 00:48:30,280 --> 00:48:33,319 Speaker 2: what is the ren role of our own government in 1006 00:48:33,680 --> 00:48:36,480 Speaker 2: not only the cultivation. I know at one point we 1007 00:48:36,520 --> 00:48:41,040 Speaker 2: were actively wanting to create cultivation of poppy. In fact, 1008 00:48:41,320 --> 00:48:44,359 Speaker 2: in preparation for the segment, I found criticism of the 1009 00:48:44,400 --> 00:48:47,480 Speaker 2: Taliban from the US Institute of Peace by some Afghan 1010 00:48:47,520 --> 00:48:50,760 Speaker 2: scholar who was like, why the Taliban shutting down opium 1011 00:48:50,760 --> 00:48:54,319 Speaker 2: production is bad for Afghanistan. I was like, what, I mean, 1012 00:48:54,360 --> 00:48:56,799 Speaker 2: this seems a little bit too naked here, So is 1013 00:48:56,800 --> 00:48:59,480 Speaker 2: the cynical take correct? I mean, what exactly was going 1014 00:48:59,480 --> 00:49:01,680 Speaker 2: on in terms of our own government, our military in 1015 00:49:01,920 --> 00:49:03,360 Speaker 2: helping stoke this production. 1016 00:49:04,440 --> 00:49:07,520 Speaker 5: It's very hard to understand what these people were thinking 1017 00:49:07,840 --> 00:49:10,759 Speaker 5: in allowing this. They didn't talk about it very much 1018 00:49:10,840 --> 00:49:13,960 Speaker 5: during the war, and to the extent they did, it 1019 00:49:14,000 --> 00:49:16,239 Speaker 5: was very much in line with that article that you 1020 00:49:16,400 --> 00:49:21,640 Speaker 5: just referenced by the US Institute for Peace, basically implicitly saying, hey, 1021 00:49:21,640 --> 00:49:24,240 Speaker 5: this is good for the economy. This is a wave REPP. 1022 00:49:24,239 --> 00:49:25,600 Speaker 4: Like a jobs program. 1023 00:49:25,920 --> 00:49:30,120 Speaker 5: Yeah exactly. Yeah. But at the same time, we always 1024 00:49:30,239 --> 00:49:33,160 Speaker 5: heard during the war that the Taliban were responsible for this, 1025 00:49:33,800 --> 00:49:37,440 Speaker 5: and that the insurgency and all the drug production were 1026 00:49:37,440 --> 00:49:40,880 Speaker 5: really two sides of the same coin, from our politicians, 1027 00:49:40,880 --> 00:49:44,400 Speaker 5: from our most prestigious and trusted institutions. In media, we 1028 00:49:44,520 --> 00:49:47,880 Speaker 5: always heard that the Taliban were basically where narco terrorists 1029 00:49:47,920 --> 00:49:50,200 Speaker 5: was the term that I think was invented in the 1030 00:49:50,239 --> 00:49:53,680 Speaker 5: early two thousands to describe this. And anytime we heard 1031 00:49:53,680 --> 00:49:56,400 Speaker 5: about the drug production that was going on in Afghanistan, 1032 00:49:56,440 --> 00:49:59,600 Speaker 5: which was very much soft pedaled, very much not in 1033 00:49:59,640 --> 00:50:02,200 Speaker 5: the new but to the extent it was, we always 1034 00:50:02,200 --> 00:50:05,920 Speaker 5: heard the Taliban were responsible. Now and looking into this, 1035 00:50:06,520 --> 00:50:09,879 Speaker 5: I found that there's no evidence to support it at all. 1036 00:50:10,800 --> 00:50:13,960 Speaker 5: And I don't claim that my research skills are exhaustive, 1037 00:50:14,280 --> 00:50:16,120 Speaker 5: but if there's anyone out there who can find a 1038 00:50:16,160 --> 00:50:21,040 Speaker 5: case of a named Taliban individual who was as are 1039 00:50:21,400 --> 00:50:24,360 Speaker 5: apprehended or convicted, or it was otherwise shown for a 1040 00:50:24,400 --> 00:50:27,839 Speaker 5: fact that they were producing or trafficking drugs, please get 1041 00:50:27,840 --> 00:50:29,760 Speaker 5: in touch, because I wasn't able to find a single 1042 00:50:29,800 --> 00:50:33,239 Speaker 5: case of that. And you know, you don't have to 1043 00:50:33,280 --> 00:50:36,239 Speaker 5: take my word for it, because in twenty eighteen, the 1044 00:50:36,280 --> 00:50:41,560 Speaker 5: Special Inspector General for Afghanistan Reconstruction SIDEGARD, they put out 1045 00:50:41,960 --> 00:50:46,880 Speaker 5: a report, a Retrospective on Narcotics in Afghanistan. And this 1046 00:50:47,000 --> 00:50:50,239 Speaker 5: is a US government publication, so you know, they kind 1047 00:50:50,280 --> 00:50:53,399 Speaker 5: of couch it in delicate terms, but It's very clear 1048 00:50:53,440 --> 00:50:55,960 Speaker 5: from reading that report that their conclusion that they came 1049 00:50:56,000 --> 00:50:58,640 Speaker 5: to was that there was never any evidence at all 1050 00:50:59,000 --> 00:51:01,479 Speaker 5: to back up the idea that the Taliban were either 1051 00:51:01,560 --> 00:51:06,439 Speaker 5: profiting from the direct participation in drug production or we're 1052 00:51:06,440 --> 00:51:09,840 Speaker 5: even taxing it as we sometimes heard. The best I 1053 00:51:09,840 --> 00:51:13,640 Speaker 5: think you could say is that at times some groups 1054 00:51:13,640 --> 00:51:18,320 Speaker 5: that were called Taliban, which is actually more diverse coalition 1055 00:51:18,640 --> 00:51:22,040 Speaker 5: than we realize, some of those groups at times in 1056 00:51:22,120 --> 00:51:26,080 Speaker 5: certain places may have levied attacked on other drug traffickers. 1057 00:51:27,160 --> 00:51:30,040 Speaker 5: But that's beyond that. There's no reason to think that 1058 00:51:30,080 --> 00:51:34,919 Speaker 5: the Taliban participated in the drug trade. It also goes 1059 00:51:34,960 --> 00:51:38,080 Speaker 5: against you know there, as I mentioned before, their original 1060 00:51:38,480 --> 00:51:42,239 Speaker 5: ideological identity of being a force, it was against narcotics. 1061 00:51:42,239 --> 00:51:47,120 Speaker 5: The Taliban would occasionally put out edicts that that bans 1062 00:51:47,320 --> 00:51:52,080 Speaker 5: their own fighters from using drugs or or participating at 1063 00:51:52,080 --> 00:51:55,080 Speaker 5: all in the drug trade. We never gave them any 1064 00:51:55,080 --> 00:51:57,160 Speaker 5: credit for that, but in fact it seems to be 1065 00:51:57,840 --> 00:52:01,360 Speaker 5: pretty consistent on their part now and was response. 1066 00:52:02,440 --> 00:52:03,960 Speaker 4: To the economic point. 1067 00:52:04,800 --> 00:52:08,840 Speaker 1: Afghanistan obviously a poor country under sanctions by the US, 1068 00:52:08,960 --> 00:52:12,200 Speaker 1: that we also withheld a significant chunk of their central 1069 00:52:12,200 --> 00:52:16,279 Speaker 1: bank reserves, you know, post after we left, there was 1070 00:52:16,320 --> 00:52:18,160 Speaker 1: a sort of economic free fall, at least for a 1071 00:52:18,160 --> 00:52:20,800 Speaker 1: certain period of time. So what has been the economic 1072 00:52:20,840 --> 00:52:24,759 Speaker 1: impact of the total eradication of poppy production when it 1073 00:52:24,840 --> 00:52:26,840 Speaker 1: was so central to the agricultural economy. 1074 00:52:27,719 --> 00:52:30,560 Speaker 5: Well, it's hard to say. Probably not good for the 1075 00:52:30,560 --> 00:52:35,120 Speaker 5: farmers that have immediately lost out on their poppy revenue 1076 00:52:35,480 --> 00:52:40,640 Speaker 5: that they were making. But Afghanistan has really serious economic 1077 00:52:40,719 --> 00:52:44,279 Speaker 5: problems as a result of the krushing international sanctions that 1078 00:52:44,400 --> 00:52:46,719 Speaker 5: are on them and the fact that the US basically 1079 00:52:47,080 --> 00:52:48,839 Speaker 5: just stole all the money that was in their bank 1080 00:52:48,920 --> 00:52:52,800 Speaker 5: by freezing it. So Afghanistan is in the terrible economic 1081 00:52:52,920 --> 00:52:56,000 Speaker 5: situation right now, which makes it all more remarkable that 1082 00:52:56,000 --> 00:52:59,280 Speaker 5: the Taliban was willing to eliminate what had been the majority, 1083 00:52:59,680 --> 00:53:02,759 Speaker 5: you know, their genep. It really shows that they were 1084 00:53:02,760 --> 00:53:06,799 Speaker 5: determined to eliminate this trade from Afghanistan. 1085 00:53:07,080 --> 00:53:09,200 Speaker 2: Yeah, I mean, I think what's shocking about this is 1086 00:53:09,239 --> 00:53:10,640 Speaker 2: that it turns a lot of stuff on its head. 1087 00:53:10,680 --> 00:53:12,680 Speaker 2: Like you said, Seth, I worked in that space for 1088 00:53:12,680 --> 00:53:15,239 Speaker 2: a long time, covered the Pentagon during the Afghan War. 1089 00:53:15,320 --> 00:53:18,719 Speaker 2: We heard constantly narco terrorists that these people were involved 1090 00:53:18,920 --> 00:53:21,520 Speaker 2: in drug production, that they were much more drug lords 1091 00:53:21,520 --> 00:53:23,600 Speaker 2: and they were this, But then it's a little bit 1092 00:53:23,680 --> 00:53:26,520 Speaker 2: counter if all of that gets shut down the moment 1093 00:53:26,520 --> 00:53:28,720 Speaker 2: that they actually take over the country, you would presume 1094 00:53:29,160 --> 00:53:31,360 Speaker 2: that the inverse would happen. That when you have total 1095 00:53:31,400 --> 00:53:35,120 Speaker 2: control over state resources, you would ramp opium production up. 1096 00:53:35,320 --> 00:53:38,319 Speaker 2: So then if they weren't producing the opium, somebody was, 1097 00:53:38,360 --> 00:53:40,960 Speaker 2: and somebody was profiting. I've been sure you don't want 1098 00:53:41,000 --> 00:53:43,399 Speaker 2: to give away too much, but to what role can 1099 00:53:43,440 --> 00:53:45,919 Speaker 2: you speak about from your own book to the deep 1100 00:53:45,960 --> 00:53:49,000 Speaker 2: involvement of the US military forces and perhaps not only 1101 00:53:49,000 --> 00:53:52,359 Speaker 2: officially sanctioning this, but getting involved in the actual like 1102 00:53:52,480 --> 00:53:54,800 Speaker 2: moving and selling of drugs. 1103 00:53:55,320 --> 00:53:59,120 Speaker 5: Well, that's same Sigar report that I mentioned a moment 1104 00:53:59,160 --> 00:54:04,360 Speaker 5: ago is unequivocal about this. The US backed Afghan government, 1105 00:54:04,840 --> 00:54:08,359 Speaker 5: at every level and at every every geographic region of 1106 00:54:08,360 --> 00:54:12,840 Speaker 5: Afghanistan was either directly involved in producing drugs or was 1107 00:54:12,880 --> 00:54:16,160 Speaker 5: profiting from it uh in the form of bribes or taxation. 1108 00:54:17,200 --> 00:54:21,320 Speaker 5: All of the major warlords who comprised the US client state, 1109 00:54:21,440 --> 00:54:25,080 Speaker 5: you know, under Ahmad Karzai originally and under Ashraf Ghani 1110 00:54:25,120 --> 00:54:30,320 Speaker 5: later were known narcotics traffickers. You know, Fahim Khan was 1111 00:54:30,440 --> 00:54:34,160 Speaker 5: Humid Karzai's defense minister. He was a big time drug trafficker. 1112 00:54:34,760 --> 00:54:39,680 Speaker 5: Humid Karzai's half brother, Ahmed Wali. Ahmed Wali Karzai was 1113 00:54:39,840 --> 00:54:42,719 Speaker 5: the kingpin of Kandahar who had this, as they would 1114 00:54:42,719 --> 00:54:45,840 Speaker 5: say in Mexico, the direcho episo over the entire helman 1115 00:54:46,280 --> 00:54:49,359 Speaker 5: the ability to charge drug traffickers, the commission to move 1116 00:54:49,400 --> 00:54:55,080 Speaker 5: drugs through Kandahar. I mentioned Rashi Roshid DoSM Rashid Dosum 1117 00:54:55,080 --> 00:54:58,600 Speaker 5: a moment ago up on the border of Afghanis, Uzbekistan 1118 00:54:58,680 --> 00:55:01,720 Speaker 5: and Tajikistan. He was in major drug lord. The CIA 1119 00:55:01,800 --> 00:55:06,520 Speaker 5: worked closely with him. Hazarat Ali and Jalalabad another big 1120 00:55:06,560 --> 00:55:11,480 Speaker 5: time drug trafficker controlling the drug trade from Afghanistan to India, 1121 00:55:11,520 --> 00:55:13,640 Speaker 5: which was sorbed a lot of the heroine during this time. 1122 00:55:13,960 --> 00:55:16,480 Speaker 5: And these are all people who have names, whose role 1123 00:55:16,600 --> 00:55:20,560 Speaker 5: is known, and the way that it was done out 1124 00:55:20,560 --> 00:55:22,800 Speaker 5: in the open, it is really kind of jaw dropping. 1125 00:55:22,840 --> 00:55:25,000 Speaker 5: And it's not just the people at the top. It's 1126 00:55:25,160 --> 00:55:28,439 Speaker 5: as the Saga report said, people at every single level 1127 00:55:28,440 --> 00:55:31,360 Speaker 5: and every department of the Afghan government were directly involved 1128 00:55:31,719 --> 00:55:33,600 Speaker 5: in the drug trade. And if you ask any grunt 1129 00:55:33,640 --> 00:55:37,200 Speaker 5: who served in Afghanistan Marine whatever. They'll tell you that 1130 00:55:37,239 --> 00:55:40,040 Speaker 5: the security forces of these people under these four lords, 1131 00:55:40,239 --> 00:55:43,440 Speaker 5: they use drugs constantly and were often too stoned on 1132 00:55:43,760 --> 00:55:46,719 Speaker 5: hashish or opium to even go out and patrol. So 1133 00:55:47,320 --> 00:55:51,480 Speaker 5: the Afghan client state was the world's biggest drug cartel, 1134 00:55:51,800 --> 00:55:55,520 Speaker 5: and it was directly backed at all times by JASAG, 1135 00:55:55,680 --> 00:55:59,160 Speaker 5: the CIA, and the whole of the US government. And 1136 00:55:59,280 --> 00:56:03,320 Speaker 5: past instance is like CIA complicity in the drug trade 1137 00:56:03,640 --> 00:56:07,000 Speaker 5: that we're familiar with, pale in comparison, you know, there's 1138 00:56:07,040 --> 00:56:11,040 Speaker 5: the whole Dark Alliance thing. The reporter Gary Webb revealed 1139 00:56:11,080 --> 00:56:14,160 Speaker 5: in the nineties that the CIA knew that the Nicaraguent 1140 00:56:14,239 --> 00:56:19,200 Speaker 5: contras or trafficking cocaine from Columbia through Mexico into the 1141 00:56:19,280 --> 00:56:22,839 Speaker 5: United States at the time of the Crack Room. I mean, 1142 00:56:22,880 --> 00:56:28,240 Speaker 5: that was significant, but there's just no comparing the scale 1143 00:56:28,239 --> 00:56:31,839 Speaker 5: of this. As I mentioned before, for twenty years, Afghanistan 1144 00:56:31,880 --> 00:56:36,719 Speaker 5: innovated the entire world with extremely cheap, extremely potent, and 1145 00:56:36,800 --> 00:56:42,000 Speaker 5: extremely high quality heroin. It was available everywhere, and that changed. 1146 00:56:42,880 --> 00:56:45,600 Speaker 5: I mean, that had a huge impact on history, an 1147 00:56:45,640 --> 00:56:49,800 Speaker 5: extremely deleterious effect on the social fabric of many countries 1148 00:56:49,840 --> 00:56:53,760 Speaker 5: that directly surround Afghanistan, including Iran, had a terrible heroin 1149 00:56:53,800 --> 00:56:57,080 Speaker 5: quiet crisis during this time. China as well had to 1150 00:56:57,200 --> 00:57:00,879 Speaker 5: really crack down on heroin trafficking through g and Jang, 1151 00:57:00,920 --> 00:57:03,400 Speaker 5: if I'm pronouncing that correctly, in the WEE or occupied 1152 00:57:03,440 --> 00:57:06,680 Speaker 5: part of the part of China. Russia suffered a terrible 1153 00:57:06,719 --> 00:57:09,560 Speaker 5: heroin crisis during this time, all of Europe and of 1154 00:57:09,560 --> 00:57:12,840 Speaker 5: course America, and it was all the result of having 1155 00:57:12,960 --> 00:57:17,880 Speaker 5: a huge glut of very high quality and very cheap 1156 00:57:17,920 --> 00:57:20,000 Speaker 5: product it was available. 1157 00:57:21,280 --> 00:57:24,439 Speaker 1: That's my last question for you, is intentionally naive one. 1158 00:57:25,280 --> 00:57:30,400 Speaker 1: How does this square with the US's relatively draconian anti 1159 00:57:30,480 --> 00:57:31,520 Speaker 1: drug policies. 1160 00:57:33,840 --> 00:57:37,760 Speaker 5: Well, when you say relatively draconian anti drug policies, I 1161 00:57:37,760 --> 00:57:41,240 Speaker 5: guess you're referring to the criminal penalties that are available 1162 00:57:41,280 --> 00:57:44,320 Speaker 5: to punish traffickers that are caught here in the US. Well, 1163 00:57:44,360 --> 00:57:46,360 Speaker 5: it just goes to show that, you know, the government 1164 00:57:46,920 --> 00:57:50,520 Speaker 5: really kind of instead of fighting a drug war, it's 1165 00:57:50,560 --> 00:57:53,720 Speaker 5: more that they pick winners and losers in the game 1166 00:57:53,800 --> 00:57:57,000 Speaker 5: and say who can who is allowed to traffic drugs internationally. 1167 00:57:57,720 --> 00:57:59,919 Speaker 5: If the DA at any point had wanted to look 1168 00:58:00,320 --> 00:58:04,560 Speaker 5: Afghanistan and say, you know, sometimes when they say describe 1169 00:58:04,800 --> 00:58:08,160 Speaker 5: a drug trafficking organization in Mexico, Let's say and create 1170 00:58:08,200 --> 00:58:10,080 Speaker 5: like an organization chart and put this guy at the 1171 00:58:10,080 --> 00:58:12,400 Speaker 5: top and say these guys are as lieutenants. A lot 1172 00:58:12,440 --> 00:58:15,920 Speaker 5: of that, there's there's some you know, there's some artistic 1173 00:58:15,960 --> 00:58:18,439 Speaker 5: license that goes into that these groups are not as 1174 00:58:18,480 --> 00:58:20,760 Speaker 5: coherent as you might think. My point is that if 1175 00:58:20,920 --> 00:58:22,840 Speaker 5: if at any point they had wanted to look at 1176 00:58:22,840 --> 00:58:25,680 Speaker 5: Afghanistan and describe what was going on there as a 1177 00:58:25,720 --> 00:58:28,960 Speaker 5: cartel and create like an organization chart, they it easily 1178 00:58:28,960 --> 00:58:30,960 Speaker 5: could have been portrayed as you know, this is the 1179 00:58:30,960 --> 00:58:35,480 Speaker 5: most uh, this is the most profitable, productive, and dangerous 1180 00:58:35,840 --> 00:58:39,760 Speaker 5: drug trafficking organization in the entire world. And it's it's 1181 00:58:39,800 --> 00:58:42,360 Speaker 5: inundating the United States with heroin because the heroin crisis 1182 00:58:42,400 --> 00:58:46,600 Speaker 5: of the United States perfectly coincided with this time period. 1183 00:58:47,240 --> 00:58:50,880 Speaker 5: And there's endless reports from the early two thousands from 1184 00:58:51,080 --> 00:58:57,440 Speaker 5: medical professionals and others, especially county sheriffs, talking about how 1185 00:58:57,760 --> 00:59:02,120 Speaker 5: they were seeing a much increased supply of heroin in 1186 00:59:02,160 --> 00:59:04,280 Speaker 5: the most remote rural counties in the United States. It's 1187 00:59:04,280 --> 00:59:07,040 Speaker 5: not just the cities. The whole country was saturated by 1188 00:59:07,440 --> 00:59:10,760 Speaker 5: heroin that was white, in color, high quality, high potency. 1189 00:59:10,800 --> 00:59:14,320 Speaker 5: Now as a caveat, the DEA says that none of 1190 00:59:14,360 --> 00:59:17,200 Speaker 5: this came from Afghanistan. They say that the United States, 1191 00:59:17,240 --> 00:59:20,200 Speaker 5: alone in the world, is the only country untouched by 1192 00:59:20,240 --> 00:59:23,280 Speaker 5: Afghan heroin. And that's a claim that you see sometimes 1193 00:59:23,280 --> 00:59:27,240 Speaker 5: repeated in mainstream media accounts during this time, and in 1194 00:59:27,280 --> 00:59:28,880 Speaker 5: my book I'm going to go into all the reasons 1195 00:59:28,880 --> 00:59:30,960 Speaker 5: why I don't think that's true at all. I think 1196 00:59:31,000 --> 00:59:33,880 Speaker 5: that that all of that supply, or the great majority 1197 00:59:33,880 --> 00:59:36,320 Speaker 5: of that supply that directly caused the heroin crisis in 1198 00:59:36,360 --> 00:59:39,120 Speaker 5: America was the consequence of the war in Afghanistan. 1199 00:59:39,160 --> 00:59:40,040 Speaker 3: I can't wait to read it. 1200 00:59:40,120 --> 00:59:41,720 Speaker 1: Yeah, well that Yeah, We're going to let you now 1201 00:59:41,800 --> 00:59:43,800 Speaker 1: get back to writing that book because we're now all 1202 00:59:43,880 --> 00:59:45,480 Speaker 1: dying to read it and see what else you have 1203 00:59:45,560 --> 00:59:47,760 Speaker 1: to say. And I hope you'll come back on when 1204 00:59:47,760 --> 00:59:50,960 Speaker 1: the book is published, if not before, and explain in 1205 00:59:51,080 --> 00:59:53,840 Speaker 1: detail your additional findings there. Thank you so much for 1206 00:59:53,920 --> 00:59:57,520 Speaker 1: joining us today though it's been eye opening, absolutely eye opening. 1207 00:59:57,600 --> 01:00:00,640 Speaker 2: Thanks man, appreciate it definitely, Thanks for having me our pleasure. 1208 01:00:00,880 --> 01:00:02,600 Speaker 2: Thanks so much for watching, guys, We appreciate it. If 1209 01:00:02,600 --> 01:00:05,000 Speaker 2: you can become a premium subscriber. You want that exclusive content, 1210 01:00:05,040 --> 01:00:07,920 Speaker 2: you can breakingpoints dot com. Otherwise, great Counterpoints show for 1211 01:00:07,920 --> 01:00:08,800 Speaker 2: everybody tomorrow