1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:09,879 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,160 --> 00:00:31,600 Speaker 2: Armstrong and Getty, I know he Armstrong and Getty. 4 00:00:24,560 --> 00:00:26,639 Speaker 3: To the markets today, and would you be open to 5 00:00:26,720 --> 00:00:30,240 Speaker 3: a pause in tariffs to allow for negotiation. Well, we're 6 00:00:30,280 --> 00:00:33,519 Speaker 3: not look at that. We have many many countries that 7 00:00:33,560 --> 00:00:36,640 Speaker 3: are coming to negotiate deals with US, and they're going 8 00:00:36,680 --> 00:00:40,000 Speaker 3: to be fair deals, and in certain cases they're going 9 00:00:40,080 --> 00:00:44,240 Speaker 3: to be be paying substantial tariffs. They'll be fair deals. 10 00:00:44,360 --> 00:00:44,680 Speaker 4: Okay. 11 00:00:44,720 --> 00:00:47,680 Speaker 5: Politico and others are reporting that. On the phone with 12 00:00:47,800 --> 00:00:50,479 Speaker 5: various countries yesterday, Trump was saying, yeah, a pause is 13 00:00:50,520 --> 00:00:53,000 Speaker 5: coming sooner rather than later, and that sort of thing. 14 00:00:53,000 --> 00:00:56,200 Speaker 5: And that's the reason the markets are up today. Trump 15 00:00:56,280 --> 00:00:58,520 Speaker 5: of course can't say out loud that you know, this 16 00:00:58,560 --> 00:01:01,560 Speaker 5: tariff thing is winding or you know, you lose all 17 00:01:01,560 --> 00:01:07,679 Speaker 5: your leverage. But anyway, that's that's kind of the zeitgeist today. 18 00:01:08,280 --> 00:01:12,080 Speaker 1: The markets are leaping upward like a gazelle. 19 00:01:13,240 --> 00:01:13,600 Speaker 4: Funny. 20 00:01:14,520 --> 00:01:19,920 Speaker 1: And the other unspoken thing that is remaining unspoken is that, Okay, no, 21 00:01:20,120 --> 00:01:24,200 Speaker 1: I'm not driving towards some sort of isolationism. I just 22 00:01:24,240 --> 00:01:27,680 Speaker 1: want much lower tariffs for US goods, that post World 23 00:01:27,680 --> 00:01:30,280 Speaker 1: War two period is over. Let's get to something sane, 24 00:01:30,520 --> 00:01:32,440 Speaker 1: which is really what I was hoping he was driving at. 25 00:01:32,480 --> 00:01:33,240 Speaker 4: And I hope it works. 26 00:01:33,600 --> 00:01:35,680 Speaker 5: So I've got some polling around tariffs, but I'm not 27 00:01:35,720 --> 00:01:38,840 Speaker 5: sure they matter anymore, like as of an hour ago. 28 00:01:39,600 --> 00:01:45,520 Speaker 5: But anyway, Uh, first, this high school level gossip and 29 00:01:45,600 --> 00:01:48,280 Speaker 5: snark that we should be above. 30 00:01:48,440 --> 00:01:51,320 Speaker 4: And you know it good gossips. 31 00:01:51,360 --> 00:01:54,639 Speaker 5: What is the whole thing about? You know, successful people, 32 00:01:55,520 --> 00:01:57,720 Speaker 5: low level people talk about each other. 33 00:01:57,800 --> 00:02:00,080 Speaker 4: What is that whole thing? Essentially, the. 34 00:02:03,200 --> 00:02:08,280 Speaker 1: Weak minds speak of people, Mediocre minds discuss events, great 35 00:02:08,360 --> 00:02:09,679 Speaker 1: minds discuss ideas. 36 00:02:10,000 --> 00:02:12,000 Speaker 4: Okay, well I'm going to speak of people. So it 37 00:02:12,040 --> 00:02:13,600 Speaker 4: probably fits in with where my mind is. 38 00:02:14,320 --> 00:02:18,320 Speaker 5: So over the weekend, Elon got into it with Peter Navarro. 39 00:02:18,400 --> 00:02:24,280 Speaker 5: Peter Navarro is the trade advisor to Donald Trump, and 40 00:02:24,560 --> 00:02:28,640 Speaker 5: you know, and on all the TV shows tauton the 41 00:02:29,040 --> 00:02:31,160 Speaker 5: tariffs and why they're going to work and everything like that. 42 00:02:31,360 --> 00:02:36,120 Speaker 5: I mentioned the tweet yesterday where Elon Musk said having 43 00:02:36,200 --> 00:02:39,639 Speaker 5: a PhD in economics from Harvard is a bad thing, 44 00:02:39,720 --> 00:02:42,400 Speaker 5: not a good thing. He was speaking of Peter Navarro. 45 00:02:42,480 --> 00:02:45,480 Speaker 5: He said specifically, In that tweet, Peter Navarro ain't built 46 00:02:45,680 --> 00:02:49,680 Speaker 5: s in his life, and having a PhD from Harvard 47 00:02:49,720 --> 00:02:50,280 Speaker 5: is a bad thing. 48 00:02:50,760 --> 00:02:52,600 Speaker 4: Musk I'm reading here from the Daily Beast. 49 00:02:52,680 --> 00:02:57,560 Speaker 5: Musk who's openly expressed disdain for Ivy League institutions, commented 50 00:02:57,919 --> 00:03:01,640 Speaker 5: yup under a quote from USA economist Thomas Sowel that read, 51 00:03:01,840 --> 00:03:04,760 Speaker 5: in every disaster throughout American history, there always seems to 52 00:03:04,760 --> 00:03:06,680 Speaker 5: be a man from Harvard in the middle of it. 53 00:03:10,560 --> 00:03:13,840 Speaker 5: First of all, that's a fantastic quote. Secondly, it's fantastic 54 00:03:13,880 --> 00:03:16,680 Speaker 5: that Elon retweeted that and attached it to Peter Navarro. 55 00:03:18,200 --> 00:03:22,800 Speaker 4: It continues on U with a variety of things. 56 00:03:22,840 --> 00:03:24,880 Speaker 5: Now Peter Navarro has shot back, and then there's a 57 00:03:24,919 --> 00:03:26,280 Speaker 5: response from Elon after this. 58 00:03:26,360 --> 00:03:30,279 Speaker 4: But let's hear the Peter Navarro thing first. Commenting on Elon. 59 00:03:30,520 --> 00:03:34,040 Speaker 6: When it comes to tariffs and trade, we all understand 60 00:03:34,280 --> 00:03:36,880 Speaker 6: in the White House and the American people understand that 61 00:03:37,000 --> 00:03:40,880 Speaker 6: Elon's a car manufacturer, but he's not a car manufacturer. 62 00:03:40,880 --> 00:03:42,080 Speaker 4: He's a car assembler. 63 00:03:42,320 --> 00:03:44,440 Speaker 6: In many cases. If you go to his Texas plan, 64 00:03:45,200 --> 00:03:49,600 Speaker 6: A good part of the engines that he gets, which 65 00:03:49,840 --> 00:03:53,080 Speaker 6: in the EV case is the batteries come from Japan 66 00:03:53,520 --> 00:03:57,360 Speaker 6: and come from China. The electronics come from Taiwan, the 67 00:03:57,400 --> 00:04:01,600 Speaker 6: tires come what we want. The difference is in our 68 00:04:01,720 --> 00:04:04,880 Speaker 6: thinking and elons On this is that we want the 69 00:04:04,960 --> 00:04:09,760 Speaker 6: tires made in Akron, we want the transmissions made in Indianapolis. 70 00:04:09,800 --> 00:04:13,760 Speaker 6: We want the engines made in Flint and Saginaw, and 71 00:04:13,800 --> 00:04:19,400 Speaker 6: we want the cars manufactured here. It's like this business 72 00:04:19,480 --> 00:04:23,880 Speaker 6: model where BMW and Mercedes come in to Spartansburg, South 73 00:04:23,920 --> 00:04:28,919 Speaker 6: Carolina and have us assemble German engines and Austrian transmissions. 74 00:04:29,120 --> 00:04:30,480 Speaker 4: That doesn't work for America. 75 00:04:30,480 --> 00:04:34,279 Speaker 6: It's bad for our economics, it's bad for our national security. 76 00:04:34,440 --> 00:04:37,200 Speaker 6: We want them to come here with the Elon It's fine. 77 00:04:37,400 --> 00:04:40,640 Speaker 6: He's a carbman. If he's a car person, that's what 78 00:04:40,720 --> 00:04:43,400 Speaker 6: he does. And he wants the cheap foreign parts, and 79 00:04:43,440 --> 00:04:45,960 Speaker 6: we understand that. But we want him home. We want 80 00:04:46,040 --> 00:04:50,400 Speaker 6: them home. National security, economic sure, and everything's good with Elon. 81 00:04:52,000 --> 00:04:54,800 Speaker 5: So him calling Elon a car assembler, I guess, is 82 00:04:54,839 --> 00:04:58,200 Speaker 5: seen by some as a shot. Elon responded to that, 83 00:04:58,320 --> 00:05:01,200 Speaker 5: and this is like fifteen minutes ago. Navarro is truly 84 00:05:01,240 --> 00:05:05,960 Speaker 5: a moron. What he says here is demonstrably false. So 85 00:05:06,080 --> 00:05:09,520 Speaker 5: now He's just flat out called Peter Navarro, somebody that 86 00:05:09,600 --> 00:05:11,760 Speaker 5: he has I'm sure been in the Oval Office with 87 00:05:12,080 --> 00:05:14,680 Speaker 5: on multiple occasions over the last couple of months, as 88 00:05:14,680 --> 00:05:17,400 Speaker 5: two of the top advisors of the president. Truly a moron. 89 00:05:17,600 --> 00:05:19,440 Speaker 5: I don't know what Navarro was talking about there. I 90 00:05:19,480 --> 00:05:21,560 Speaker 5: don't know about the other stuff. I know I've bought 91 00:05:21,600 --> 00:05:23,720 Speaker 5: a lot of tires for Tesla's and they've all been 92 00:05:24,120 --> 00:05:26,000 Speaker 5: American tires. But so I don't know what he's talking 93 00:05:26,000 --> 00:05:26,360 Speaker 5: about there. 94 00:05:26,400 --> 00:05:29,000 Speaker 1: But how about this follow up tweet from elon Tesla 95 00:05:29,080 --> 00:05:32,320 Speaker 1: has the most American made cars. Navarro is dumber than 96 00:05:32,360 --> 00:05:39,320 Speaker 1: a sack of bricks. I love this sort of thing, 97 00:05:40,880 --> 00:05:43,080 Speaker 1: the ag Hamilton account on Twitter, which is one of 98 00:05:43,120 --> 00:05:45,360 Speaker 1: my favorites. Navarro has no idea what he's talking about 99 00:05:45,360 --> 00:05:46,719 Speaker 1: and doing substantial harm. 100 00:05:47,040 --> 00:05:50,120 Speaker 5: Yeah, I don't know about the computers and various things 101 00:05:50,120 --> 00:05:52,200 Speaker 5: he mentioned there, but I know for fact the tires 102 00:05:52,200 --> 00:05:55,719 Speaker 5: that I've purchased for my Tesla or American made tires 103 00:05:55,800 --> 00:05:58,760 Speaker 5: from an American company I think actually an acron. 104 00:05:58,480 --> 00:05:59,200 Speaker 4: Which he just said. 105 00:05:59,240 --> 00:06:01,719 Speaker 1: So speaking of gossip, it was so good and I 106 00:06:01,720 --> 00:06:02,240 Speaker 1: don't know what. 107 00:06:02,240 --> 00:06:03,120 Speaker 4: I did with it. 108 00:06:03,360 --> 00:06:06,720 Speaker 1: The barrow was truly a moron, dumber than a sack 109 00:06:06,760 --> 00:06:10,160 Speaker 1: of bricks. There was a great Twitter thread from one 110 00:06:10,200 --> 00:06:14,320 Speaker 1: of Elon's baby mamas calling him out as well his 111 00:06:16,080 --> 00:06:20,400 Speaker 1: family life is at the outer one percent of crazy. 112 00:06:20,880 --> 00:06:21,320 Speaker 3: Yeah. 113 00:06:21,400 --> 00:06:23,440 Speaker 4: Yeah, Well, the separate topic. 114 00:06:23,839 --> 00:06:28,120 Speaker 5: I do not dig his view on a parenthood at all, 115 00:06:32,000 --> 00:06:35,599 Speaker 5: as I'm saying many times, no, or a reproduction or 116 00:06:35,800 --> 00:06:36,680 Speaker 5: marriage or whatever. 117 00:06:36,760 --> 00:06:39,919 Speaker 4: But yeah, you know, it's not. 118 00:06:40,560 --> 00:06:43,040 Speaker 5: While I enjoy snark and that sort of thing, it's 119 00:06:43,080 --> 00:06:45,719 Speaker 5: not insignificant that. 120 00:06:47,160 --> 00:06:48,760 Speaker 4: And I can't believe. 121 00:06:48,520 --> 00:06:51,440 Speaker 5: I'm the guy saying this, but the world's richest man 122 00:06:52,440 --> 00:06:57,000 Speaker 5: is jumping into this and calling like the brains of 123 00:06:57,040 --> 00:06:59,920 Speaker 5: the whole tariff structure a moron and dumb as a 124 00:07:00,160 --> 00:07:01,279 Speaker 5: sack of bricks. 125 00:07:03,800 --> 00:07:07,520 Speaker 1: Yeah, I would love to hear Donald Jay actually describe 126 00:07:07,520 --> 00:07:12,600 Speaker 1: his relationship with Peter Navarro and how he utilizes his skills. 127 00:07:13,240 --> 00:07:16,920 Speaker 1: I'm going to, you know, put that charitably. I think 128 00:07:17,120 --> 00:07:21,360 Speaker 1: Navarro may be the crazed attack dog straining at the 129 00:07:21,480 --> 00:07:24,720 Speaker 1: leash that Trump will put back in the kennel the 130 00:07:24,800 --> 00:07:25,320 Speaker 1: minute that. 131 00:07:25,520 --> 00:07:26,480 Speaker 4: He's not useful. 132 00:07:26,800 --> 00:07:30,600 Speaker 1: But he he is acting out the pretense that yes, 133 00:07:30,880 --> 00:07:33,120 Speaker 1: I am going to put up enormous trade barriers around 134 00:07:33,160 --> 00:07:35,120 Speaker 1: the United States from now till the end of time, 135 00:07:35,280 --> 00:07:37,600 Speaker 1: putting aside that that's impossible given our system where you 136 00:07:37,640 --> 00:07:40,560 Speaker 1: get elected every four years, blah blah blah. But and 137 00:07:40,880 --> 00:07:43,840 Speaker 1: Navarro is his attack dog, straining at the leash. But 138 00:07:43,880 --> 00:07:45,960 Speaker 1: it's becoming more and more clear that no, Trump just 139 00:07:46,000 --> 00:07:50,080 Speaker 1: wants sane levels of tariffs against the United States finally, 140 00:07:50,080 --> 00:07:52,600 Speaker 1: which is admirable in a good goal. 141 00:07:52,960 --> 00:07:55,040 Speaker 4: How popular are these right now? 142 00:07:55,400 --> 00:08:00,800 Speaker 5: This polling was yesterday before stock market rebound, and all 143 00:08:00,840 --> 00:08:03,400 Speaker 5: these rumors are going around that Trump is telling people 144 00:08:03,440 --> 00:08:05,800 Speaker 5: on the phone no, no, no, no, you know, will negotiate 145 00:08:05,880 --> 00:08:09,040 Speaker 5: and not sounding quite as an absolutist on this stuff. 146 00:08:10,000 --> 00:08:12,640 Speaker 5: This is interesting to us, Joe and I. And you know, 147 00:08:12,640 --> 00:08:14,760 Speaker 5: how much should we talk about this? How much have 148 00:08:14,840 --> 00:08:18,320 Speaker 5: you been hearing about or paying attention to the tariff stuff? 149 00:08:19,080 --> 00:08:23,400 Speaker 5: A lot? Fifty six percent, A lot. I don't know 150 00:08:23,400 --> 00:08:26,800 Speaker 5: how many stories. Fifty six percent of people pay a 151 00:08:26,840 --> 00:08:31,560 Speaker 5: lot of attention to ever, right, and then some was 152 00:08:31,640 --> 00:08:35,360 Speaker 5: twenty five percent, So between a lot and some that's 153 00:08:35,400 --> 00:08:35,640 Speaker 5: you know. 154 00:08:37,080 --> 00:08:40,720 Speaker 1: Well, And I would suggest to you that in the 155 00:08:40,840 --> 00:08:43,880 Speaker 1: universe of humans, who might be inclined to listen to 156 00:08:43,880 --> 00:08:47,360 Speaker 1: the armstrong and Getty show that number is substantially higher 157 00:08:47,400 --> 00:08:49,200 Speaker 1: because that's a random sample of humans. 158 00:08:49,240 --> 00:08:50,360 Speaker 4: That's fifty six percent. 159 00:08:50,400 --> 00:08:52,920 Speaker 5: If someone a lot adds up to you know, eighty 160 00:08:52,960 --> 00:08:58,560 Speaker 5: percent would need my twe hundred there. Then when you 161 00:08:58,600 --> 00:09:02,000 Speaker 5: get to support or oppose among that crowd, oppose fifty 162 00:09:02,080 --> 00:09:08,520 Speaker 5: five support thirty seven, oppose fifty five support thirty seven. 163 00:09:09,160 --> 00:09:13,120 Speaker 5: You break it down by party, it's somewhat predictable. For Democrats, 164 00:09:13,480 --> 00:09:19,880 Speaker 5: ninety percent oppose independence, fifty two percent oppose. Republicans only 165 00:09:19,920 --> 00:09:24,120 Speaker 5: twenty percent oppose hanging in there. So here's a question 166 00:09:24,200 --> 00:09:26,400 Speaker 5: for you, unless you had more to get through. The 167 00:09:26,440 --> 00:09:29,480 Speaker 5: only interesting thing Democrats are paying a lot of attention 168 00:09:29,600 --> 00:09:32,800 Speaker 5: at higher numbers than Republicans for whatever reason. 169 00:09:33,640 --> 00:09:37,520 Speaker 4: The resistance We're back. That was a joke. 170 00:09:38,000 --> 00:09:42,000 Speaker 1: So is this all a giant art of the deal 171 00:09:42,160 --> 00:09:47,680 Speaker 1: style negotiation? A important element of which and this is 172 00:09:47,720 --> 00:09:50,640 Speaker 1: what always gets me with Trump, don't I don't like it, 173 00:09:51,440 --> 00:09:54,120 Speaker 1: And maybe I'm wrong. That's fine, I've been wrong before. 174 00:09:54,160 --> 00:09:58,360 Speaker 1: But a significant element of Trump's Art of the deal 175 00:09:58,440 --> 00:10:04,160 Speaker 1: thing is to so con fusion and chaos, which he 176 00:10:04,400 --> 00:10:09,559 Speaker 1: believes leads people to be more enthusiastic about making a deal. 177 00:10:09,679 --> 00:10:12,000 Speaker 1: Because not only do they want to reach the best 178 00:10:12,000 --> 00:10:19,040 Speaker 1: negotiated settlement they can in classic negotiation theory, but there's 179 00:10:19,040 --> 00:10:21,800 Speaker 1: also a feeling of this is craziness and I'm getting 180 00:10:21,840 --> 00:10:25,920 Speaker 1: a little freaked out here. He might be a nut. 181 00:10:26,080 --> 00:10:29,200 Speaker 1: Let's let's go ahead and cut a deal. Does it 182 00:10:29,240 --> 00:10:31,760 Speaker 1: feel like that to you? I mean, because, for instance, 183 00:10:31,800 --> 00:10:34,040 Speaker 1: the formula, here's what I'm thinking about. 184 00:10:34,080 --> 00:10:35,000 Speaker 4: I should have said this out loud. 185 00:10:35,080 --> 00:10:37,480 Speaker 1: The formula that they used for assigning the quote unquote 186 00:10:37,480 --> 00:10:42,440 Speaker 1: reciprocal tariffs was a mess. I mean, just utterly indefensible, 187 00:10:42,720 --> 00:10:46,560 Speaker 1: silly in a couple of different ways, and analysts all 188 00:10:46,600 --> 00:10:49,559 Speaker 1: over the world were saying, this doesn't make any sense 189 00:10:50,480 --> 00:10:51,840 Speaker 1: mathematically speaking. 190 00:10:52,600 --> 00:10:54,400 Speaker 4: Is that part of the sowing chaos? 191 00:10:54,840 --> 00:10:57,840 Speaker 1: Was that he just said throw a formula together with 192 00:10:57,960 --> 00:11:00,199 Speaker 1: high tariffs against people or. 193 00:11:00,200 --> 00:11:05,800 Speaker 4: Or was that actual sloppiness. I don't know. I think it's. 194 00:11:07,679 --> 00:11:10,320 Speaker 5: Yeah, well, I suppose you could call it sloppiness, but 195 00:11:10,360 --> 00:11:13,400 Speaker 5: I think it would be he would say, it doesn't matter, 196 00:11:13,559 --> 00:11:15,520 Speaker 5: it doesn't matter what the how I came to the numbers. 197 00:11:15,800 --> 00:11:19,400 Speaker 1: That's not the point, right right, Let's sew a little 198 00:11:19,480 --> 00:11:21,880 Speaker 1: chaos in the air. Everybody's going to come a run 199 00:11:21,880 --> 00:11:26,600 Speaker 1: and negotiate sane, actually reciprocal tariff levels that we haven't 200 00:11:26,640 --> 00:11:28,160 Speaker 1: seen since World War Two. 201 00:11:28,240 --> 00:11:31,280 Speaker 5: Well, a combination of so chaos and convince people that 202 00:11:31,320 --> 00:11:33,480 Speaker 5: I'm serious about this exactly. 203 00:11:33,640 --> 00:11:37,840 Speaker 1: Yeah, which is why Peter Navarro is still straining at 204 00:11:37,840 --> 00:11:40,880 Speaker 1: the leash, you know, barking at Elon Musk saying, no, 205 00:11:40,960 --> 00:11:43,080 Speaker 1: We're going to have maximum millist tariffs for the rest 206 00:11:43,120 --> 00:11:44,520 Speaker 1: of the history of mankind. 207 00:11:45,360 --> 00:11:48,360 Speaker 4: It's dumb as what a sack of bricks. Sack of bricks. 208 00:11:49,280 --> 00:11:56,880 Speaker 4: He is truly a moron, according to Elon mask And 209 00:11:56,920 --> 00:11:59,600 Speaker 4: that's so well. Quote. Oh, that's great, love that. Let 210 00:11:59,679 --> 00:12:01,680 Speaker 4: me get that again, because that is that is that 211 00:12:01,800 --> 00:12:04,000 Speaker 4: is too darn good. I'd never heard that before. 212 00:12:04,120 --> 00:12:07,760 Speaker 5: And every disaster throughout American history there always seems to 213 00:12:07,800 --> 00:12:09,600 Speaker 5: be a man from Harvard in the middle of it. 214 00:12:12,280 --> 00:12:18,240 Speaker 4: That's awesome, That's hilarious. Yeah, and probably true. 215 00:12:18,480 --> 00:12:21,720 Speaker 1: Oh yeah, you take the combination of I'm one of 216 00:12:21,720 --> 00:12:25,560 Speaker 1: the nation's leading intellectuals. Therefore I espouse ideas that the 217 00:12:25,559 --> 00:12:29,359 Speaker 1: average working person would find idiotic, which is true. Secondly, 218 00:12:29,640 --> 00:12:33,280 Speaker 1: look at my status. I have graduated from the most 219 00:12:33,320 --> 00:12:37,440 Speaker 1: elite of the elite institutions. Thou shalt listen to me, right, 220 00:12:37,480 --> 00:12:43,319 Speaker 1: you take those two things in concert, please between economic 221 00:12:43,360 --> 00:12:46,200 Speaker 1: ideas or you know Vietnam and Iraq, which had a 222 00:12:46,200 --> 00:12:48,800 Speaker 1: lot of Ivy League people behind it, And yeah, there's 223 00:12:48,800 --> 00:12:51,880 Speaker 1: plenty of examples of that. There are plenty of people 224 00:12:51,920 --> 00:12:55,120 Speaker 1: coming out of community colleges in Indiana who would listen 225 00:12:55,200 --> 00:12:59,280 Speaker 1: to the grand theories of Harvard types and say that's stupid, and. 226 00:12:59,240 --> 00:13:01,920 Speaker 4: They'd be right dumb as a sack of bricks. 227 00:13:02,120 --> 00:13:04,839 Speaker 5: Okay, we got a lot to get to, including de 228 00:13:05,080 --> 00:13:15,400 Speaker 5: extinction this Hourie. Mainstream media does such a bad job 229 00:13:15,440 --> 00:13:18,559 Speaker 5: of covering stories like the de extinction of the dire 230 00:13:18,640 --> 00:13:20,240 Speaker 5: wolf with only. 231 00:13:20,240 --> 00:13:22,119 Speaker 4: Isn't this cute? Look at these white. 232 00:13:21,840 --> 00:13:27,320 Speaker 5: Puppies and know of the any interesting intellectual discussion about 233 00:13:27,400 --> 00:13:30,920 Speaker 5: bringing back extinct spink species from ten thousand years ago? 234 00:13:31,040 --> 00:13:32,640 Speaker 4: So that will get to that coming up. 235 00:13:33,200 --> 00:13:36,120 Speaker 1: Gigantic wolves send ten footed shoulder with the teeth like 236 00:13:36,120 --> 00:13:39,679 Speaker 1: steak knives, no problem. Uh, so we'll have that for 237 00:13:39,720 --> 00:13:42,080 Speaker 1: you in just a couple of minutes. Brace yourselves in 238 00:13:42,200 --> 00:13:45,560 Speaker 1: listening to this clip. It is awful, but I have 239 00:13:45,640 --> 00:13:48,640 Speaker 1: a particular reason for asking for it. Go ahead, Michael, 240 00:13:48,920 --> 00:13:49,600 Speaker 1: I would like to. 241 00:13:49,559 --> 00:13:53,280 Speaker 7: See all Republican women or a new woman who vote 242 00:13:53,400 --> 00:14:00,320 Speaker 7: voted for Republicans or Trump to be gang raped on 243 00:14:00,520 --> 00:14:06,360 Speaker 7: national television. I think that would be just very cathartic 244 00:14:07,200 --> 00:14:15,840 Speaker 7: for us normal humans to see these. I guess humans 245 00:14:17,000 --> 00:14:23,960 Speaker 7: just absolutely destroyed on national television. New mind for me. 246 00:14:26,720 --> 00:14:29,080 Speaker 1: He appeared to be in his mid twenties something like that, 247 00:14:29,120 --> 00:14:32,760 Speaker 1: And that's just not nutpicking to illustrate that progressives or monsters, 248 00:14:32,800 --> 00:14:35,760 Speaker 1: although some are a couple of things leap to mind. 249 00:14:35,760 --> 00:14:38,840 Speaker 1: First of all, disturbing new report reveals that violent political 250 00:14:38,880 --> 00:14:42,800 Speaker 1: rhetoric online, including calls for the murder of public figures 251 00:14:42,840 --> 00:14:46,320 Speaker 1: like Donald Trump, Elon Musk, and other things, is becoming 252 00:14:46,360 --> 00:14:49,520 Speaker 1: increasingly normalized, particularly on the left. 253 00:14:49,720 --> 00:14:56,600 Speaker 8: Yeah, I would say, specifically, what is the justification the 254 00:14:56,800 --> 00:14:59,640 Speaker 8: justif is their justification for the murder of Elon Musk 255 00:14:59,720 --> 00:15:00,840 Speaker 8: and Donald Trump. 256 00:15:02,240 --> 00:15:08,760 Speaker 1: All respondents, Let's see some at least partially justified. Is 257 00:15:09,080 --> 00:15:13,440 Speaker 1: thirty one percent? Well for Elon Musk first, left of center, 258 00:15:13,520 --> 00:15:15,000 Speaker 1: it's forty nine percent. 259 00:15:15,160 --> 00:15:16,920 Speaker 4: A lot of it is what I have been talking about. 260 00:15:16,960 --> 00:15:18,520 Speaker 5: It's the coin of the realm of you have to 261 00:15:18,520 --> 00:15:20,200 Speaker 5: be just so over the top, you have to be 262 00:15:20,240 --> 00:15:23,240 Speaker 5: so over the top online to feel like you cut 263 00:15:23,280 --> 00:15:25,320 Speaker 5: through this just the way everybody talks. I mean we 264 00:15:25,320 --> 00:15:27,280 Speaker 5: were talking about this the other day, with the stuff 265 00:15:27,320 --> 00:15:32,160 Speaker 5: we get. I mean just just ridiculously, you know, angry, 266 00:15:32,520 --> 00:15:36,400 Speaker 5: just beyond anything that makes sense at a radio show, 267 00:15:36,720 --> 00:15:37,520 Speaker 5: because that's. 268 00:15:37,360 --> 00:15:38,600 Speaker 4: The way people talk online. 269 00:15:39,480 --> 00:15:42,120 Speaker 1: And then there's one hundred percent ratio of you write 270 00:15:42,160 --> 00:15:44,320 Speaker 1: them back and say you seem really upset, here's what's 271 00:15:44,360 --> 00:15:46,160 Speaker 1: going on. They're like, hey, I'm so sorry. I flew 272 00:15:46,200 --> 00:15:48,080 Speaker 1: off the handle. I was out of line, So yeah, 273 00:15:48,120 --> 00:15:49,880 Speaker 1: you were, You act like an idiot. So I think 274 00:15:49,920 --> 00:15:50,520 Speaker 1: a lot of these. 275 00:15:50,360 --> 00:15:53,400 Speaker 5: People who want to gang repe Republican voters or kill 276 00:15:53,440 --> 00:15:54,880 Speaker 5: Elon Musk would be the same way. 277 00:15:55,120 --> 00:15:58,160 Speaker 4: But you can't normalize that kind of talk. You just can't. 278 00:15:59,120 --> 00:16:01,520 Speaker 1: Left of center Folk says the murder of Donald Trump 279 00:16:01,520 --> 00:16:03,760 Speaker 1: at least partially justified fifty five percent. 280 00:16:03,920 --> 00:16:04,160 Speaker 4: Yeah. 281 00:16:04,160 --> 00:16:07,960 Speaker 1: How about to destroying Tesla dealerships is at least partially 282 00:16:07,960 --> 00:16:09,440 Speaker 1: acceptable fifty eight percent. 283 00:16:10,080 --> 00:16:10,680 Speaker 4: Yeah, you can't. 284 00:16:11,400 --> 00:16:13,200 Speaker 5: Most of them, Like I said, most of them don't 285 00:16:13,240 --> 00:16:16,760 Speaker 5: mean it at all. But you can't. You can't pretend 286 00:16:17,120 --> 00:16:19,800 Speaker 5: like that because there are enough crazies that will do 287 00:16:19,880 --> 00:16:25,920 Speaker 5: this stuff. Yeah, the whole maniacs or people with terrible, 288 00:16:26,080 --> 00:16:30,880 Speaker 5: terrible ideas getting in reinforcement online. Because if your idea 289 00:16:30,960 --> 00:16:34,040 Speaker 5: is so effing stupid, only one person out of seventy 290 00:16:34,040 --> 00:16:35,320 Speaker 5: five thousand would. 291 00:16:35,080 --> 00:16:36,040 Speaker 4: Agree with you. 292 00:16:35,520 --> 00:16:38,960 Speaker 1: You could find hundreds or thousands of people who agree 293 00:16:39,000 --> 00:16:42,680 Speaker 1: with you online, but that's still a dumb effing idea. 294 00:16:43,280 --> 00:16:46,560 Speaker 1: How do we deal with this as a society? Can 295 00:16:46,600 --> 00:16:53,440 Speaker 1: we the reinforcement of lunatics online and lunatic movements and ideologies? 296 00:16:53,640 --> 00:16:56,680 Speaker 5: Will it never not be the way we talk online 297 00:16:56,760 --> 00:16:59,720 Speaker 5: to just be like incredibly over the top, I don't know. 298 00:17:00,760 --> 00:17:04,840 Speaker 5: You have to be a major cultural change where to 299 00:17:04,920 --> 00:17:06,920 Speaker 5: be said on this, and I'm sure we will. Bringing 300 00:17:07,040 --> 00:17:11,040 Speaker 5: back to life ancient species? Is that a good idea? 301 00:17:12,520 --> 00:17:13,960 Speaker 1: Armstrong and Getty. 302 00:17:22,280 --> 00:17:23,040 Speaker 9: Visit the. 303 00:17:25,760 --> 00:17:27,280 Speaker 4: Running So I. 304 00:17:27,280 --> 00:17:29,520 Speaker 5: Never watched Game of Thrones, so I didn't know the 305 00:17:29,680 --> 00:17:30,640 Speaker 5: dire wolf was a. 306 00:17:30,720 --> 00:17:31,760 Speaker 4: Thing on Game of Thrones. 307 00:17:32,520 --> 00:17:34,840 Speaker 5: I'm not sure I'd never even thought about a dire 308 00:17:34,880 --> 00:17:38,879 Speaker 5: wolf for a second in my life till yesterday. 309 00:17:40,280 --> 00:17:42,800 Speaker 1: One of the many extinct beasts that used to roll 310 00:17:42,920 --> 00:17:44,280 Speaker 1: the countryside. 311 00:17:43,720 --> 00:17:44,800 Speaker 4: Jack, I'll take your word for it. 312 00:17:44,840 --> 00:17:48,280 Speaker 5: For whatever reason, this had never crossed my uh transom 313 00:17:48,359 --> 00:17:51,359 Speaker 5: or whatever I was unaware of the dire wolf. But 314 00:17:51,480 --> 00:17:55,400 Speaker 5: so I watched the news last night. 315 00:17:55,760 --> 00:18:00,879 Speaker 4: It's funny. We're just we're just a dumb people. 316 00:18:01,240 --> 00:18:04,920 Speaker 5: We're just so comfortable and happy in our news gives 317 00:18:05,000 --> 00:18:09,120 Speaker 5: us dumb news, so we can float through the day and. 318 00:18:09,200 --> 00:18:12,840 Speaker 1: Another killer storm raging across the country every damn night. 319 00:18:13,000 --> 00:18:14,760 Speaker 4: And I don't know why we're all treated like idiots. 320 00:18:14,800 --> 00:18:16,240 Speaker 4: Maybe because we act like idiots. 321 00:18:16,240 --> 00:18:20,399 Speaker 5: But so look at the headlines from today dot Com. 322 00:18:20,440 --> 00:18:23,160 Speaker 5: Extinct dire wolf seen on Game of Thrones has been 323 00:18:23,200 --> 00:18:27,160 Speaker 5: revived on ABC News, which we're gonna. 324 00:18:26,920 --> 00:18:37,679 Speaker 4: Well, let's play the ABC News clip. That was not 325 00:18:37,920 --> 00:18:38,960 Speaker 4: the dire fol clip. 326 00:18:39,040 --> 00:18:43,080 Speaker 5: That was chicken jockey from the Minecraft. 327 00:18:43,240 --> 00:18:48,960 Speaker 4: Yeah, Minecraft, where's our dire wolves? ABC News? This is 328 00:18:49,000 --> 00:18:50,880 Speaker 4: going well? Is not going well. 329 00:18:52,840 --> 00:18:56,399 Speaker 9: In a first for science biotech company Colossal Bioscience, it 330 00:18:56,480 --> 00:18:59,640 Speaker 9: says it brought the extinct dire wolf back to life, 331 00:19:00,040 --> 00:19:03,200 Speaker 9: species that hasn't walked the earth since the Stone Age. 332 00:19:03,400 --> 00:19:07,359 Speaker 10: We've taken a gray wolf genome, which is already genetically 333 00:19:07,600 --> 00:19:11,000 Speaker 10: ninety nine point five percent identical to dire wolves, and 334 00:19:11,040 --> 00:19:15,359 Speaker 10: we've edited those cells at multiple places in its DNA 335 00:19:15,440 --> 00:19:18,359 Speaker 10: sequence to contain the dire wolf version of the DNA. 336 00:19:18,560 --> 00:19:20,600 Speaker 9: The company tells us they're not stopping there. They plan 337 00:19:20,760 --> 00:19:23,480 Speaker 9: to have wooly mammoths roaming the earth again by twenty 338 00:19:23,520 --> 00:19:27,000 Speaker 9: twenty eight, but critics argue that this de extinction could 339 00:19:27,000 --> 00:19:29,200 Speaker 9: harm fragile ecosystems. 340 00:19:29,240 --> 00:19:32,240 Speaker 5: Back to you, So I played this for my son 341 00:19:32,320 --> 00:19:36,879 Speaker 5: last night, and he's super into evolution and all this. 342 00:19:37,080 --> 00:19:40,119 Speaker 5: I mean, he spends so much time like watching YouTube 343 00:19:40,160 --> 00:19:42,159 Speaker 5: videos and reading about this. He's really into this for 344 00:19:42,200 --> 00:19:43,920 Speaker 5: one thing, so I knew he would like this. So 345 00:19:43,960 --> 00:19:46,240 Speaker 5: I play him this new story and he puts his 346 00:19:46,280 --> 00:19:48,080 Speaker 5: hands on the side of his head and he starts. 347 00:19:47,800 --> 00:19:50,320 Speaker 4: Walking around the room like this said, I have so 348 00:19:50,359 --> 00:19:52,840 Speaker 4: many problems with this. There's so many problems. 349 00:19:53,720 --> 00:19:57,840 Speaker 5: First of all, dire wolves are not wolves, so this 350 00:19:57,880 --> 00:20:00,560 Speaker 5: doesn't make any sense. And the then he went to 351 00:20:00,640 --> 00:20:02,520 Speaker 5: his computer and was googling things and everything like that. 352 00:20:02,720 --> 00:20:02,960 Speaker 4: Stright. 353 00:20:03,200 --> 00:20:07,760 Speaker 5: So, as I pointed out, our domestic news coverage is all. 354 00:20:08,000 --> 00:20:10,320 Speaker 5: They've brought back the dire wolf for the first time 355 00:20:10,359 --> 00:20:12,600 Speaker 5: in thirteen fast and five hundred years, but an a 356 00:20:12,840 --> 00:20:17,800 Speaker 5: real news source, Unfortunately, like Al Jazeera, their headline has 357 00:20:17,800 --> 00:20:21,479 Speaker 5: the dire Wolf come back? No, it hasn't, or you know, 358 00:20:21,600 --> 00:20:26,680 Speaker 5: other other news outlets that are like real news point 359 00:20:26,720 --> 00:20:31,159 Speaker 5: out that that scientist you just heard from there, she 360 00:20:31,320 --> 00:20:34,800 Speaker 5: works for a company that is somehow trying to profit 361 00:20:34,840 --> 00:20:38,040 Speaker 5: off of pretending to bring back extinct animals. 362 00:20:38,320 --> 00:20:41,280 Speaker 4: Now, I don't know is exactly correct. That is what 363 00:20:41,280 --> 00:20:41,800 Speaker 4: they're doing. 364 00:20:41,880 --> 00:20:43,600 Speaker 1: Do you remember a few weeks ago we brought you 365 00:20:43,680 --> 00:20:46,320 Speaker 1: the story they're trying to revive the wooly mammoths. No, 366 00:20:46,560 --> 00:20:50,399 Speaker 1: they're trying to make hairy elephants. Well, right, they tweetd 367 00:20:50,440 --> 00:20:52,200 Speaker 1: the jeans of elephants to make them harry. 368 00:20:52,359 --> 00:20:53,320 Speaker 4: That's what they did here. 369 00:20:53,359 --> 00:20:57,720 Speaker 5: They they made a white, slightly bigger gray wolf. Now 370 00:20:57,760 --> 00:21:01,560 Speaker 5: her saying dire wolves and wolves share ninety nine percent 371 00:21:01,640 --> 00:21:05,080 Speaker 5: of the genetics or whatever what they developed it. Well, 372 00:21:06,080 --> 00:21:08,760 Speaker 5: you've probably heard before. We're ninety nine percent the same 373 00:21:08,800 --> 00:21:11,400 Speaker 5: as a chimpanzee. But that don't mean we're the same thing. 374 00:21:11,600 --> 00:21:13,919 Speaker 5: So they did not make it on a date one 375 00:21:14,320 --> 00:21:17,920 Speaker 5: doesn't mean that their little direwolf puppy is a dire 376 00:21:17,920 --> 00:21:20,040 Speaker 5: wolf just because they got ninety nine percent of the way, 377 00:21:20,119 --> 00:21:22,800 Speaker 5: you know, see the example of humans and chimpanzees. 378 00:21:23,160 --> 00:21:26,199 Speaker 1: But ABC reports it breathlessly with a smile, and the 379 00:21:26,200 --> 00:21:28,879 Speaker 1: little puppies, and then one sentence about critics say it 380 00:21:28,880 --> 00:21:33,119 Speaker 1: could harm fragile ecosystems. Yeah, good report. May you dumb? 381 00:21:33,240 --> 00:21:36,040 Speaker 1: You should be ashamed of yourselves. You can't call it news, 382 00:21:36,359 --> 00:21:41,399 Speaker 1: well right, not news. It's eye candy for dopes. Eye 383 00:21:41,400 --> 00:21:42,560 Speaker 1: candy for dopes. 384 00:21:42,920 --> 00:21:45,440 Speaker 5: So they used crisper technology, which has been around for 385 00:21:45,520 --> 00:21:48,520 Speaker 5: quite a few years now and is interesting and highly 386 00:21:48,560 --> 00:21:50,760 Speaker 5: troubling in the way that you can get there in 387 00:21:50,800 --> 00:21:55,720 Speaker 5: their genetically modified genes, and for animals or people, they 388 00:21:55,760 --> 00:21:59,720 Speaker 5: transferred the genetic material from a from a gray wolf 389 00:21:59,720 --> 00:22:03,200 Speaker 5: to a domestic dog. What they really wanted was white wolves, 390 00:22:03,240 --> 00:22:04,159 Speaker 5: white gray wolves. 391 00:22:04,160 --> 00:22:10,720 Speaker 4: That was their main thing, and and and got where 392 00:22:10,720 --> 00:22:11,320 Speaker 4: they wanted to be. 393 00:22:11,400 --> 00:22:15,840 Speaker 5: These three genetically engineered wolves may resemble the extinct dire wolf, 394 00:22:16,720 --> 00:22:21,560 Speaker 5: but they are just flat not according to actual scientists 395 00:22:21,600 --> 00:22:23,480 Speaker 5: who aren't trying to profit from us. They're going to 396 00:22:23,560 --> 00:22:26,520 Speaker 5: be pretty big. So what is their game here? Though, 397 00:22:26,560 --> 00:22:29,240 Speaker 5: this company, Colossus, I think it's called what is their game? 398 00:22:29,280 --> 00:22:32,119 Speaker 5: Are they going to have a I'll use Jurassic Park 399 00:22:33,600 --> 00:22:37,600 Speaker 5: but sort of park and charge a bunch of money 400 00:22:37,680 --> 00:22:41,879 Speaker 5: for people to go in and watch look at dire wolves? 401 00:22:41,920 --> 00:22:44,600 Speaker 4: Wooly mammoths whatever else they claim they brought back. Is 402 00:22:44,640 --> 00:22:46,600 Speaker 4: that the deal. It's got to be a for profit 403 00:22:46,680 --> 00:22:48,199 Speaker 4: thing or sell them to people. 404 00:22:48,560 --> 00:22:51,080 Speaker 1: Yeah, yeah, I suspect it's one of those two things. 405 00:22:51,240 --> 00:22:53,280 Speaker 4: Yeah. Huh. 406 00:22:53,320 --> 00:22:56,359 Speaker 1: So I said that the dire wolf stood ten feet 407 00:22:56,440 --> 00:22:59,119 Speaker 1: at the shoulder and had teeth length of steak knives. 408 00:22:59,119 --> 00:23:00,800 Speaker 1: Turns out no, it's about one hundred and thirty two 409 00:23:00,800 --> 00:23:04,640 Speaker 1: pounds one hundred and fifty pounds maybe, but significantly big 410 00:23:04,680 --> 00:23:08,760 Speaker 1: eyes of the largest modern gray wolves. Yeah, your average 411 00:23:08,760 --> 00:23:10,840 Speaker 1: male is bigger than the average male wolves that exist 412 00:23:10,920 --> 00:23:11,960 Speaker 1: on Earth currently. 413 00:23:11,640 --> 00:23:19,000 Speaker 5: And their biting power is like greater than a lion 414 00:23:19,080 --> 00:23:21,360 Speaker 5: or anything like that. So that's what they're really amazing at. 415 00:23:21,520 --> 00:23:21,960 Speaker 4: I didn't know. 416 00:23:22,040 --> 00:23:24,919 Speaker 1: The skull of the thing is really impressive. Yeah, so 417 00:23:24,960 --> 00:23:25,920 Speaker 1: my son told me this. 418 00:23:26,080 --> 00:23:29,399 Speaker 5: We went to the If you've never been to the 419 00:23:29,440 --> 00:23:31,800 Speaker 5: Libre of Tarpits in La oh my gosh, you should 420 00:23:31,840 --> 00:23:32,440 Speaker 5: do that sometime. 421 00:23:33,440 --> 00:23:34,280 Speaker 4: So fascinating. 422 00:23:34,359 --> 00:23:35,760 Speaker 5: I'd wanted to go there my whole life, and my 423 00:23:36,720 --> 00:23:39,040 Speaker 5: thirteen year old and I went there last summer. But 424 00:23:39,320 --> 00:23:43,000 Speaker 5: they have an entire wall of wolf skulls. There, thousands 425 00:23:43,080 --> 00:23:46,520 Speaker 5: of wolf skulls. Wow, from you know, fifteen thousand years 426 00:23:46,560 --> 00:23:48,600 Speaker 5: ago whenever it was. And my son pointed out last night, 427 00:23:48,600 --> 00:23:51,240 Speaker 5: those are all dire wolf skulls, that's what those all are. 428 00:23:52,080 --> 00:23:55,359 Speaker 5: And they would they would get stuck in the tar 429 00:23:55,440 --> 00:23:59,520 Speaker 5: pits trying to get other animals that were stuck there 430 00:23:59,560 --> 00:24:00,920 Speaker 5: and think, oh, cool of free meal. 431 00:24:01,000 --> 00:24:02,840 Speaker 4: Then they'd get stuck in the dark bit and then 432 00:24:03,200 --> 00:24:04,120 Speaker 4: eventually die. 433 00:24:04,720 --> 00:24:08,320 Speaker 5: And there's so many direwolf skulls there and they're quite large. 434 00:24:08,760 --> 00:24:12,159 Speaker 5: But the main point being, well, I guess my main 435 00:24:12,240 --> 00:24:14,560 Speaker 5: point is a journalism. Why do we live in a 436 00:24:14,600 --> 00:24:17,879 Speaker 5: world where ABC and Today want to say, look, they 437 00:24:17,920 --> 00:24:21,440 Speaker 5: brought back the dire wolf from extinction with no caveats 438 00:24:21,520 --> 00:24:24,440 Speaker 5: or any deeper thought that. Why why are we. 439 00:24:24,640 --> 00:24:28,080 Speaker 1: Like this David Muir with his serious face and serious 440 00:24:28,160 --> 00:24:31,080 Speaker 1: voice and big giant weightlifting arms bringing you the news 441 00:24:31,119 --> 00:24:33,760 Speaker 1: every evening, not even bothering to verify. 442 00:24:33,440 --> 00:24:34,680 Speaker 4: The simplest of facts. 443 00:24:34,920 --> 00:24:36,919 Speaker 5: And I'm not trying to just be like a cynic 444 00:24:36,960 --> 00:24:38,720 Speaker 5: poo pooing things. 445 00:24:38,880 --> 00:24:41,399 Speaker 4: You just told me something that's not true, is the thing? 446 00:24:41,920 --> 00:24:44,439 Speaker 1: Well, right, we pretending like it was, and you know 447 00:24:44,520 --> 00:24:46,760 Speaker 1: it's not. That's what bothers me, you know, it's not 448 00:24:46,800 --> 00:24:49,320 Speaker 1: they care enough to know it's not. If you scratch 449 00:24:49,400 --> 00:24:52,000 Speaker 1: the surface, you know that it's not exactly true. 450 00:24:52,440 --> 00:24:56,080 Speaker 4: So why why do we do this? And who cares 451 00:24:56,080 --> 00:24:58,320 Speaker 4: about the dire wolf? But it factors in with all 452 00:24:58,320 --> 00:24:58,960 Speaker 4: our other. 453 00:24:58,800 --> 00:25:02,240 Speaker 5: Stuff, our economic re porting, in our political stories and 454 00:25:02,280 --> 00:25:02,920 Speaker 5: all the other stuff. 455 00:25:02,920 --> 00:25:04,800 Speaker 4: Why do they treat us like we're morons? 456 00:25:06,320 --> 00:25:09,480 Speaker 5: It's their business plan. Why does it work? I guess 457 00:25:09,520 --> 00:25:10,880 Speaker 5: although it's not working there as well. 458 00:25:10,760 --> 00:25:14,080 Speaker 1: As it used to No, indeed, well it's not nearly 459 00:25:14,080 --> 00:25:16,399 Speaker 1: as good as it used to be. I would like 460 00:25:16,440 --> 00:25:18,280 Speaker 1: to know. To get inside the head of the media 461 00:25:18,280 --> 00:25:20,400 Speaker 1: elite would be very difficult because they are, as we've 462 00:25:20,400 --> 00:25:23,960 Speaker 1: said a thousand times, a very very small and very 463 00:25:24,000 --> 00:25:28,119 Speaker 1: strange subculture. They live lives totally foreign to the vast 464 00:25:28,160 --> 00:25:31,600 Speaker 1: majority of Americans. They have attitudes that are just bizarre 465 00:25:32,040 --> 00:25:35,199 Speaker 1: to the vast majority of Americans. They believe things that 466 00:25:35,359 --> 00:25:39,120 Speaker 1: practically nobody believes out in the country, and yet they 467 00:25:39,160 --> 00:25:42,359 Speaker 1: are our source of so much information. It's unhealthy, and 468 00:25:42,880 --> 00:25:45,120 Speaker 1: people are sensing that and unplugging, which I think is good. 469 00:25:46,680 --> 00:25:50,000 Speaker 5: Mit Technology Review, which sounds like a you know, more 470 00:25:50,040 --> 00:25:50,920 Speaker 5: serious publication. 471 00:25:51,600 --> 00:25:52,560 Speaker 4: Game of Clones. 472 00:25:52,640 --> 00:25:55,159 Speaker 5: Colossals New Wolves are cute, but are they dire and 473 00:25:55,200 --> 00:25:57,760 Speaker 5: then they explain how they're not dire wolves. But like 474 00:25:57,840 --> 00:26:01,639 Speaker 5: I said, Today dot Com, which is NBC, the extinct 475 00:26:01,680 --> 00:26:04,159 Speaker 5: dire wolf is back, as seen on Game of Throne. 476 00:26:04,240 --> 00:26:07,000 Speaker 5: So I mean, that's just for the dumbest befo. Same 477 00:26:07,080 --> 00:26:11,800 Speaker 5: company that runs Today dot Com though, is NBC, and 478 00:26:12,000 --> 00:26:17,280 Speaker 5: their headline was a much more reasonable scientists genetically engineered 479 00:26:17,359 --> 00:26:21,359 Speaker 5: wolves with white hair like the extinct dire wolf, so 480 00:26:21,440 --> 00:26:24,400 Speaker 5: making no claim whatsoever other than we changed the. 481 00:26:24,440 --> 00:26:26,920 Speaker 4: Air color of gray wolves. 482 00:26:27,600 --> 00:26:27,919 Speaker 2: Wow. 483 00:26:28,000 --> 00:26:30,280 Speaker 1: Okay, so this is getting more interesting to me. So 484 00:26:30,400 --> 00:26:32,679 Speaker 1: like back in the day when General Motors had and 485 00:26:32,720 --> 00:26:36,720 Speaker 1: I don't remember this specific order, but they intentionally had 486 00:26:37,119 --> 00:26:39,320 Speaker 1: a buick for entry level car buyers. 487 00:26:39,680 --> 00:26:42,600 Speaker 4: Then is your salary group. Perhaps you would move up to. 488 00:26:42,680 --> 00:26:46,320 Speaker 1: A Pontiac and then eventually you're gonna buy yourself a Cadillac, 489 00:26:47,000 --> 00:26:50,600 Speaker 1: but they are all GM cars. So NBC News division 490 00:26:50,760 --> 00:26:55,120 Speaker 1: evidently has a series of offerings for the half wit, 491 00:26:55,640 --> 00:26:59,480 Speaker 1: the third wit, and the tragic quarter wit. I mean, 492 00:26:59,480 --> 00:27:02,520 Speaker 1: you're true paste eating morons, and that would be Today 493 00:27:02,560 --> 00:27:07,200 Speaker 1: dot Com or the ABC Nightly News. Yeah, that's for 494 00:27:07,320 --> 00:27:11,280 Speaker 1: the true knuckle deep nose pickers. 495 00:27:12,040 --> 00:27:14,359 Speaker 5: Yeah, because what they did is they altered gray wolves 496 00:27:14,359 --> 00:27:16,760 Speaker 5: to make their hair white. That's almost the end of 497 00:27:16,800 --> 00:27:18,360 Speaker 5: the story. 498 00:27:19,320 --> 00:27:22,240 Speaker 1: Well, let's akin to the Chinese zoos shaving a show 499 00:27:22,320 --> 00:27:25,359 Speaker 1: and calling it a panda and saying the Chinese welcome 500 00:27:25,400 --> 00:27:27,280 Speaker 1: to new Panda. 501 00:27:27,600 --> 00:27:28,760 Speaker 4: No they didn't. 502 00:27:29,240 --> 00:27:34,479 Speaker 5: It's Michael uh oh that that is really funny. 503 00:27:35,280 --> 00:27:37,560 Speaker 4: A record from our friends at Prize. 504 00:27:37,160 --> 00:27:39,960 Speaker 5: My son, I'm so angry about this although we haven't 505 00:27:39,960 --> 00:27:41,359 Speaker 5: gotten to the main question. 506 00:27:41,400 --> 00:27:44,200 Speaker 4: The main question after this, Oh my gosh. 507 00:27:44,240 --> 00:27:46,600 Speaker 1: I thought we'd dealt with so many good questions, but 508 00:27:46,680 --> 00:27:48,480 Speaker 1: the main one still to come. 509 00:27:49,119 --> 00:27:50,680 Speaker 4: So prize picks super easy. 510 00:27:50,680 --> 00:27:52,320 Speaker 1: All you do is pick more or less on at 511 00:27:52,400 --> 00:27:54,000 Speaker 1: least two players for shot to win up to a 512 00:27:54,040 --> 00:27:56,920 Speaker 1: thousand times your cash and price. Picks is the best 513 00:27:56,920 --> 00:27:59,160 Speaker 1: place to get real money sports action. You can even 514 00:27:59,200 --> 00:28:01,200 Speaker 1: mix and match sports. She got a baseball theory and 515 00:28:01,280 --> 00:28:03,800 Speaker 1: a basketball theory, combine them in your lineup. 516 00:28:03,920 --> 00:28:05,600 Speaker 5: God, I don't know what them more or less was 517 00:28:07,280 --> 00:28:10,120 Speaker 5: for anybody looking at that Florida player last night. They're 518 00:28:10,119 --> 00:28:12,360 Speaker 5: big giant star who scored eleven points. But man, it's 519 00:28:12,359 --> 00:28:14,320 Speaker 5: hard to predict sports. If you have strong opinions, though, 520 00:28:14,320 --> 00:28:17,080 Speaker 5: you could turn them into cash with Prize Picks. The 521 00:28:17,240 --> 00:28:21,000 Speaker 5: NBA season is really getting into the exciting part. So 522 00:28:21,119 --> 00:28:23,680 Speaker 5: download the Prize Picks app today and jump on that. 523 00:28:24,400 --> 00:28:25,480 Speaker 4: Yeah, it's a great deal too. 524 00:28:25,600 --> 00:28:28,160 Speaker 1: Use that code Armstrong to get fifty dollars instantly after 525 00:28:28,200 --> 00:28:30,080 Speaker 1: you played just a five dollar lineup. That's right, you 526 00:28:30,080 --> 00:28:32,040 Speaker 1: play five dollars, they give you fifty bucks to play 527 00:28:32,040 --> 00:28:34,560 Speaker 1: around with. If you use the code Armstrong, you don't 528 00:28:34,600 --> 00:28:37,320 Speaker 1: need to win. It's automatic again the Prize Picks app. 529 00:28:37,400 --> 00:28:41,280 Speaker 1: Use the code Armstrong. Prize Picks, run your games. 530 00:28:41,760 --> 00:28:44,240 Speaker 5: My son, in a really weird way, is stumping around 531 00:28:44,280 --> 00:28:48,840 Speaker 5: the bedroom, his hands on his head. The dire wolf 532 00:28:49,120 --> 00:28:51,680 Speaker 5: is more related to a Hyaena. It split with the 533 00:28:51,800 --> 00:28:54,520 Speaker 5: dog a million years ago. It's not even all this 534 00:28:54,560 --> 00:28:57,680 Speaker 5: sort of stuff. But then he said, but ultimately, why 535 00:28:58,120 --> 00:28:59,840 Speaker 5: why are we doing this? And I thought that is 536 00:28:59,840 --> 00:29:03,440 Speaker 5: a really good question. Why are we doing this? Why 537 00:29:03,520 --> 00:29:07,480 Speaker 5: is everybody screaming this direction to where we at some point, 538 00:29:07,560 --> 00:29:11,160 Speaker 5: I would imagine we'll have the technological ability to actually 539 00:29:11,160 --> 00:29:13,800 Speaker 5: bring back a William mammoth or a Drewil for whatever it's, 540 00:29:14,840 --> 00:29:20,360 Speaker 5: or a dinosaur like you know, Jurassic Park. Why would 541 00:29:20,680 --> 00:29:26,160 Speaker 5: mankind do that just because hey, that'd be cool. Doesn't 542 00:29:26,160 --> 00:29:29,160 Speaker 5: seem like a good enough reason with all the possible downsides. 543 00:29:29,520 --> 00:29:33,120 Speaker 1: Oh right, Yeah, well, I think the current state of 544 00:29:33,120 --> 00:29:35,600 Speaker 1: things is you have well meaning people who think these 545 00:29:35,600 --> 00:29:39,520 Speaker 1: species are extinct. That's very sad. Let's make them unextinct, 546 00:29:39,960 --> 00:29:42,240 Speaker 1: which is fine, And then you've got the people who 547 00:29:42,240 --> 00:29:45,240 Speaker 1: could actually do it, and they're just at this point 548 00:29:45,280 --> 00:29:47,680 Speaker 1: based on profiting from halfwitz I think. 549 00:29:47,720 --> 00:29:49,800 Speaker 4: But that's a weird view of the world. 550 00:29:50,480 --> 00:29:55,880 Speaker 5: If you're concerned about species going extinct today because you know, 551 00:29:56,120 --> 00:29:58,520 Speaker 5: they turned a big chunk of the rainforest into a 552 00:29:58,640 --> 00:30:00,920 Speaker 5: mall and you lost a beast, I. 553 00:30:00,840 --> 00:30:03,280 Speaker 4: Can understand being sad about that, But. 554 00:30:03,360 --> 00:30:06,720 Speaker 5: Things that went extinct tens of thousands of years ago, 555 00:30:07,160 --> 00:30:09,280 Speaker 5: that sounds like that was nature's plan to me. 556 00:30:09,520 --> 00:30:11,160 Speaker 4: So you're sad. What if they're. 557 00:30:11,000 --> 00:30:13,800 Speaker 1: Hunted to extinction by man, for instance? Is that a 558 00:30:13,920 --> 00:30:14,640 Speaker 1: different case? 559 00:30:15,120 --> 00:30:18,360 Speaker 5: That seems like a weird anti man bias for some reason. 560 00:30:18,400 --> 00:30:21,320 Speaker 5: I mean, thirty five thousand years ago, you don't think 561 00:30:21,400 --> 00:30:24,480 Speaker 5: that that that's Are we not part of nature? 562 00:30:26,360 --> 00:30:26,880 Speaker 4: Mankind? 563 00:30:27,000 --> 00:30:31,640 Speaker 1: That's great question. Yeah, yeah, I was not arguing a point. 564 00:30:31,640 --> 00:30:33,800 Speaker 1: I was just curious to know you're a point. 565 00:30:33,520 --> 00:30:35,320 Speaker 4: I don't know where you cut it off. 566 00:30:36,160 --> 00:30:39,760 Speaker 1: I'm pretty if animals are big, slow, lumbering, and delicious, 567 00:30:40,080 --> 00:30:43,680 Speaker 1: I are not going to last and delicious, right, And 568 00:30:43,720 --> 00:30:46,560 Speaker 1: there are plenty of beasts that went extinct without mankind 569 00:30:46,640 --> 00:30:47,720 Speaker 1: being involved at all. 570 00:30:48,240 --> 00:30:50,880 Speaker 5: All your dinosaurs. You're sad about that, and they need 571 00:30:50,920 --> 00:30:52,680 Speaker 5: to be brought back. I just I don't even understand 572 00:30:52,720 --> 00:30:54,200 Speaker 5: the theory on that anyway. 573 00:30:54,360 --> 00:30:57,880 Speaker 1: The three great threats facing the United States of America, 574 00:30:58,040 --> 00:31:01,320 Speaker 1: I have identified them for you begin fighting them in 575 00:31:01,360 --> 00:31:01,720 Speaker 1: a moment. 576 00:31:01,880 --> 00:31:08,400 Speaker 5: Oh boy, on the way DARPA. Do you think DARPA's 577 00:31:08,440 --> 00:31:11,000 Speaker 5: behind bringing back the dire Wolf? Like we're gonna release 578 00:31:11,040 --> 00:31:12,480 Speaker 5: it on the Chinese or something? 579 00:31:12,680 --> 00:31:14,600 Speaker 4: Oh maybe maybe? 580 00:31:14,640 --> 00:31:20,640 Speaker 1: A certain commentator texted me privately, never mind the dire Wolf, 581 00:31:20,720 --> 00:31:23,280 Speaker 1: bring back free market Republicans. 582 00:31:25,160 --> 00:31:29,080 Speaker 4: And make them wooly. I said, why not make them wooly? 583 00:31:29,800 --> 00:31:33,080 Speaker 1: Uh? So, oh, these are odd times, speaking of which, 584 00:31:33,120 --> 00:31:35,840 Speaker 1: so we could easily have done an hour or two 585 00:31:35,960 --> 00:31:37,600 Speaker 1: or three on what I'm going to hit you with. 586 00:31:37,600 --> 00:31:39,160 Speaker 1: But we're up against a heartbreak, So it's going to 587 00:31:39,200 --> 00:31:42,520 Speaker 1: be very brief, and we can elaborate through the hours 588 00:31:42,560 --> 00:31:45,480 Speaker 1: and days and weeks ahead. But I'm scanning all of 589 00:31:45,520 --> 00:31:48,880 Speaker 1: the news stories have assembled in various groups to talk 590 00:31:48,920 --> 00:31:52,040 Speaker 1: about today or later on in the week, and they 591 00:31:52,080 --> 00:31:56,640 Speaker 1: really fall into three distinct threats to the United States 592 00:31:56,680 --> 00:32:00,000 Speaker 1: Western civilization. Number one is our own bloat and decade, 593 00:32:00,920 --> 00:32:05,280 Speaker 1: and we're talking about the labor participation rate among working personal. 594 00:32:05,520 --> 00:32:06,680 Speaker 4: Yes, I was talking about you. 595 00:32:06,760 --> 00:32:09,160 Speaker 1: I didn't want to be too hurtful, but yes, no, no, 596 00:32:09,240 --> 00:32:12,240 Speaker 1: As a society, we are very, very soft. 597 00:32:12,560 --> 00:32:14,320 Speaker 4: Decadent is the right word. 598 00:32:14,520 --> 00:32:16,800 Speaker 1: We are so comfortable and wealthy that we have lost 599 00:32:16,840 --> 00:32:19,960 Speaker 1: the ability to fend for ourselves. And how that works 600 00:32:20,000 --> 00:32:24,520 Speaker 1: itself out is anybody's guests, the you know, the unbreakable 601 00:32:24,520 --> 00:32:27,440 Speaker 1: cycle of civilizations that hard times make for tough people, 602 00:32:27,480 --> 00:32:29,440 Speaker 1: Tough people make for good times, good times make for 603 00:32:29,480 --> 00:32:29,960 Speaker 1: soft people. 604 00:32:29,960 --> 00:32:32,520 Speaker 4: Saw people make for hard times, don't. I don't know 605 00:32:32,560 --> 00:32:33,280 Speaker 4: how you get out of that. 606 00:32:33,600 --> 00:32:39,080 Speaker 1: But the number two threat is call it the neo Marxists, 607 00:32:39,080 --> 00:32:43,200 Speaker 1: the woke, the postmodernists that want to tear down Western civilization. 608 00:32:43,320 --> 00:32:44,800 Speaker 1: And the thing I want to say about that, and 609 00:32:44,840 --> 00:32:47,440 Speaker 1: this one I could bring you all sorts of details, 610 00:32:48,000 --> 00:32:50,840 Speaker 1: is that there's a feeling even I get it now 611 00:32:50,880 --> 00:32:53,440 Speaker 1: that partly because of what's Trump's doing, Rain and in 612 00:32:53,480 --> 00:32:59,120 Speaker 1: the universities and corporations like hitting reverse on the DEI 613 00:32:59,240 --> 00:33:02,720 Speaker 1: programs in a liminating those offices. It feels like progress 614 00:33:02,760 --> 00:33:07,280 Speaker 1: is being made. I can bring you ten great examples 615 00:33:07,640 --> 00:33:12,400 Speaker 1: of how the DEI neo Marxist thing is forging ahead 616 00:33:12,840 --> 00:33:18,120 Speaker 1: and growing, especially in education in the United States and 617 00:33:18,160 --> 00:33:24,280 Speaker 1: Britain too. But our educational system is perhaps and I'm 618 00:33:24,280 --> 00:33:26,240 Speaker 1: not trying to be hyperbolic here because I try to 619 00:33:26,280 --> 00:33:30,160 Speaker 1: avoid that, I think our education system k through graduate 620 00:33:30,200 --> 00:33:33,800 Speaker 1: school is the threat to the United States that could 621 00:33:33,800 --> 00:33:34,480 Speaker 1: bring us down. 622 00:33:35,560 --> 00:33:38,760 Speaker 4: I agree with Lincoln. No external threat could bring us down. 623 00:33:39,080 --> 00:33:43,000 Speaker 1: China's getting fearsome enough that it could be a serious problem. 624 00:33:43,560 --> 00:33:47,800 Speaker 1: But the internal threat Lincoln spoke of is our educational systems. 625 00:33:47,880 --> 00:33:48,640 Speaker 4: Yeah, it's interesting. 626 00:33:48,680 --> 00:33:52,120 Speaker 5: I remember when Jordan Peterson said our university system is 627 00:33:52,160 --> 00:33:54,280 Speaker 5: now a net negative for the country, and I thought, wow, 628 00:33:54,320 --> 00:33:55,560 Speaker 5: that's a pretty strong statement. 629 00:33:55,600 --> 00:33:57,920 Speaker 4: But right, yeah, I agree with them. 630 00:33:58,360 --> 00:34:00,960 Speaker 1: And then the third fund of mental threat I think 631 00:34:01,000 --> 00:34:07,120 Speaker 1: to our beloved Republic is Islamism, fundamentalist Islam, Shariasm, whatever 632 00:34:07,120 --> 00:34:09,760 Speaker 1: you want to call it, which is on the march 633 00:34:09,880 --> 00:34:12,160 Speaker 1: all over the world. We talk about it among the 634 00:34:12,160 --> 00:34:15,759 Speaker 1: Palestinians and Hamas and how they're willing to see as 635 00:34:15,800 --> 00:34:18,400 Speaker 1: many of their own children slaughter to bring the glory 636 00:34:18,440 --> 00:34:24,839 Speaker 1: of Allah to the earth. Islamism is fundamentally and flamingly 637 00:34:26,560 --> 00:34:32,880 Speaker 1: incompatible with Western civilization and our constitution, in particular, Sharia 638 00:34:32,960 --> 00:34:36,120 Speaker 1: Lah cannot be laid over or around our constitution. 639 00:34:36,160 --> 00:34:39,520 Speaker 4: It's impossible. And Iran's trying to get the bomb, which 640 00:34:39,520 --> 00:34:41,680 Speaker 4: would not be good. Yeah, And. 641 00:34:43,600 --> 00:34:47,040 Speaker 1: Hundreds of millions of people around the world, certainly not 642 00:34:47,080 --> 00:34:51,520 Speaker 1: all Muslims, but many, many of them, their fondest goal, 643 00:34:51,600 --> 00:34:55,280 Speaker 1: their most beautiful dream, is that Islam conquers the world 644 00:34:55,360 --> 00:34:59,160 Speaker 1: and we all live under Sharia law. And post post 645 00:34:59,320 --> 00:35:01,840 Speaker 1: nine to eleven, I think a lot of us in 646 00:35:01,880 --> 00:35:04,240 Speaker 1: the West thought, well that's over. 647 00:35:04,160 --> 00:35:05,080 Speaker 4: Thank goodness. 648 00:35:05,440 --> 00:35:09,120 Speaker 1: Osama bin Laden is gone, and you know we've battered 649 00:35:09,160 --> 00:35:12,160 Speaker 1: Hamas and Hezblas. Oh, okay, we're done. We're done. We're 650 00:35:12,160 --> 00:35:15,319 Speaker 1: not within a thousand years of being done. 651 00:35:15,360 --> 00:35:19,680 Speaker 5: Well, they certainly don't think so. In Europe, No, Germany, France, 652 00:35:20,800 --> 00:35:21,440 Speaker 5: Great Britain. 653 00:35:22,800 --> 00:35:27,160 Speaker 1: Yeah, where they bought the argument that multiculturalism is wonderful 654 00:35:27,600 --> 00:35:30,040 Speaker 1: and that these people just want to assimilate and love 655 00:35:30,120 --> 00:35:31,280 Speaker 1: Germany and we can all. 656 00:35:31,160 --> 00:35:35,719 Speaker 4: Live side by side. No, you can't have people with fundamentally. 657 00:35:35,280 --> 00:35:41,040 Speaker 1: Incompatible cultural beliefs, political beliefs, leturgous beliefs mixing Happily, it 658 00:35:41,040 --> 00:35:44,400 Speaker 1: doesn't happen. I mean, it could conceivably happen in certain 659 00:35:44,440 --> 00:35:50,240 Speaker 1: settings that are strictly controlled, but it's a dangerous thing anyway, 660 00:35:50,280 --> 00:35:51,520 Speaker 1: more on all those things to come. 661 00:35:51,800 --> 00:35:55,240 Speaker 5: We are so lucky that Joe almost went to life school, 662 00:35:55,520 --> 00:35:58,480 Speaker 5: law school, and life school, that Joe almost went to 663 00:35:58,520 --> 00:36:00,920 Speaker 5: law school, so he can tell us what the Supreme 664 00:36:00,960 --> 00:36:04,000 Speaker 5: Court ruling meant yesterday around the whole immigration thing. 665 00:36:04,320 --> 00:36:06,960 Speaker 1: Oh yeah, I've read like three books about the law too, 666 00:36:07,120 --> 00:36:08,399 Speaker 1: So I'm ready to go cool. 667 00:36:08,760 --> 00:36:09,640 Speaker 4: We'll get to that hour three. 668 00:36:09,680 --> 00:36:11,480 Speaker 5: If you miss a secondent, get the podcast Armstrong and 669 00:36:11,520 --> 00:36:14,760 Speaker 5: Getty on demand Armstrong and Getty