1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,240 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:23,639 Speaker 2: Armstrong and Getty and he Armstrong and Getty. Once you 4 00:00:23,760 --> 00:00:24,840 Speaker 2: left office, I'm just curious. 5 00:00:24,840 --> 00:00:26,360 Speaker 3: I'm gonna get into the details and I'm gonna I 6 00:00:26,440 --> 00:00:27,840 Speaker 3: want to talk about your your. 7 00:00:27,720 --> 00:00:34,520 Speaker 2: Coming book one before we do that. I'm just curious. 8 00:00:34,920 --> 00:00:38,120 Speaker 2: Once once you left office, how long before you turned 9 00:00:38,120 --> 00:00:43,040 Speaker 2: on the news again? Months? Yeah? 10 00:00:43,360 --> 00:00:46,839 Speaker 4: Months, I am you know, I'm just not into self mutilation, 11 00:00:47,240 --> 00:00:47,920 Speaker 4: and I just. 12 00:00:50,479 --> 00:00:51,080 Speaker 1: I am. 13 00:00:51,440 --> 00:00:52,839 Speaker 4: Yeah. Lots of cooking shows. 14 00:00:52,840 --> 00:00:56,160 Speaker 2: Oh good British bake Off and Stuff Kitchen is one 15 00:00:56,160 --> 00:01:03,240 Speaker 2: of my favorite. Amazing sure, yeah, yeah. The Kamala Harris 16 00:01:03,320 --> 00:01:04,960 Speaker 2: was always good at those kind of interviews. It was 17 00:01:05,040 --> 00:01:09,800 Speaker 2: just perfectly fine. Can she do? Will she can't? Will 18 00:01:09,920 --> 00:01:12,720 Speaker 2: she do any real interviews? The New York Times even 19 00:01:12,760 --> 00:01:16,479 Speaker 2: said yesterday when talking all this talk about her running 20 00:01:16,520 --> 00:01:19,680 Speaker 2: for president, her people believe she needs to do hard 21 00:01:19,680 --> 00:01:22,840 Speaker 2: interviews and that's what doomed her last time, and she's 22 00:01:22,880 --> 00:01:24,920 Speaker 2: going to do that this time around. I say, bring 23 00:01:24,959 --> 00:01:27,039 Speaker 2: it on. I want to see her have to answer 24 00:01:27,120 --> 00:01:29,600 Speaker 2: for any of those policies she never did in the past, 25 00:01:29,720 --> 00:01:32,720 Speaker 2: so right, Well, and if she does that and it 26 00:01:32,760 --> 00:01:35,120 Speaker 2: goes well, it won't, there's not a chance we'll all 27 00:01:35,160 --> 00:01:36,880 Speaker 2: go to the polls and vote. By the way, just 28 00:01:36,920 --> 00:01:41,280 Speaker 2: to obviously Colbert is a fawning leftist weasel, which is 29 00:01:41,280 --> 00:01:46,720 Speaker 2: a shame. But if somebody's interviewing me and made a 30 00:01:46,840 --> 00:01:49,840 Speaker 2: jokey question like that or asked joky question, and I said, yeah, 31 00:01:50,040 --> 00:01:52,600 Speaker 2: not really, and I'm watching the Golf Channel a lot, 32 00:01:52,640 --> 00:01:56,640 Speaker 2: and he said, amazing, I would think, oh my god, 33 00:01:57,280 --> 00:02:00,640 Speaker 2: that is so creepy. Well, we played the Clipper said 34 00:02:00,720 --> 00:02:03,840 Speaker 2: I like to watch the kitchen and he said, amazing. 35 00:02:05,200 --> 00:02:08,799 Speaker 2: Are you gonna call her Mamla next to you, weasel? Well, 36 00:02:08,840 --> 00:02:12,680 Speaker 2: there's such a hunger for someone to root for if 37 00:02:12,680 --> 00:02:17,239 Speaker 2: you're a Democrat, and I get that. Sure you want 38 00:02:17,280 --> 00:02:20,919 Speaker 2: your team to win, and there's no particular person right now, 39 00:02:21,200 --> 00:02:23,160 Speaker 2: And I guess that's why we played the clip earlier. 40 00:02:24,639 --> 00:02:27,720 Speaker 2: She came out to thunderous applause that lasted like a 41 00:02:27,800 --> 00:02:29,880 Speaker 2: long time, like it was Bruce Springsteen, and then the 42 00:02:29,919 --> 00:02:35,480 Speaker 2: crowd broke into a chance of USA USA to Kamala Harris. Yeah, 43 00:02:35,520 --> 00:02:38,320 Speaker 2: an embarrassing, but they haven't watched the news in Mons, 44 00:02:39,440 --> 00:02:41,079 Speaker 2: So that's something, yes, Katie. 45 00:02:42,360 --> 00:02:44,320 Speaker 5: So I've never been to a show like that, but 46 00:02:44,720 --> 00:02:48,840 Speaker 5: I've seen in TV don't they have like applause cues 47 00:02:48,919 --> 00:02:51,280 Speaker 5: and like chant thys? Could that have been going on 48 00:02:51,360 --> 00:02:52,480 Speaker 5: in the background, just like. 49 00:02:52,639 --> 00:02:55,160 Speaker 2: I don't know about chant chews, but you can't get 50 00:02:55,160 --> 00:02:58,840 Speaker 2: that kind of thunderous applause without That was real encion. 51 00:02:58,880 --> 00:03:01,840 Speaker 2: That was real enthusiasm, an adoration, which again I think 52 00:03:01,880 --> 00:03:04,799 Speaker 2: it's just a we hate Trump and oh my god, 53 00:03:04,840 --> 00:03:07,320 Speaker 2: we have nothing. We have had no good news. He 54 00:03:07,440 --> 00:03:11,680 Speaker 2: keeps winning, we keep losing, just to the approval ratings 55 00:03:11,680 --> 00:03:15,160 Speaker 2: are in the toilet right on that front. And I'll 56 00:03:15,160 --> 00:03:17,360 Speaker 2: just read a little bit of this. It's super duper long. 57 00:03:17,480 --> 00:03:19,440 Speaker 2: I should have highlighted the best parts. Maybe I'll do 58 00:03:19,480 --> 00:03:22,720 Speaker 2: that over the weekend. I read the Mark Alper newsletter 59 00:03:22,720 --> 00:03:25,160 Speaker 2: every day, and he did a faux version of the 60 00:03:25,200 --> 00:03:28,520 Speaker 2: first chapter of Kamala Harris's book. She's got a book 61 00:03:28,520 --> 00:03:32,000 Speaker 2: out and it's it's pretty funny, but it's really really long. 62 00:03:32,040 --> 00:03:34,359 Speaker 2: But I'll just hit you with a little bit of it. 63 00:03:34,360 --> 00:03:36,680 Speaker 1: It's entitled one hundred and seven Days, which is the 64 00:03:36,720 --> 00:03:39,960 Speaker 1: count of days last year on which she said anything coherent. 65 00:03:40,240 --> 00:03:43,600 Speaker 2: Yeah, one hundred and seven days about her campaign, and 66 00:03:43,640 --> 00:03:45,240 Speaker 2: now she can go on these shows and talk about 67 00:03:45,240 --> 00:03:46,600 Speaker 2: her book, which is what you do in your earning 68 00:03:46,640 --> 00:03:48,560 Speaker 2: for president. Anyway, Here's the fake version of the book 69 00:03:48,560 --> 00:03:51,680 Speaker 2: that Mark Alpern wrote, starting with chapter one, the elevator. 70 00:03:51,960 --> 00:03:55,320 Speaker 2: There are forty three buttons. That's a bad start. There 71 00:03:55,320 --> 00:03:57,560 Speaker 2: are forty three buttons in the West Wing elevator. I 72 00:03:57,680 --> 00:03:59,800 Speaker 2: counted them three times on the morning I decided to 73 00:03:59,840 --> 00:04:03,160 Speaker 2: run on forty three gleaming plastic squares, each one of 74 00:04:03,160 --> 00:04:05,760 Speaker 2: them a portal to a sub basement full of secrets, regrets, 75 00:04:05,840 --> 00:04:08,840 Speaker 2: or fluorescent lights. I pressed the G for goolag what 76 00:04:08,920 --> 00:04:10,960 Speaker 2: we called the press office, when the polling dropped below 77 00:04:11,040 --> 00:04:14,120 Speaker 2: thirty nine percent. The decision to run for president wasn't 78 00:04:14,120 --> 00:04:16,839 Speaker 2: so much a decision as a medical event, a thrombosis 79 00:04:16,839 --> 00:04:20,200 Speaker 2: of ambition, a blood cut of destiny. One moment, I 80 00:04:20,240 --> 00:04:23,600 Speaker 2: was pacing in the Roosevelt room, practicing my sincerely amused 81 00:04:23,680 --> 00:04:26,240 Speaker 2: laugh for a TikTok q and a about mental health apps. 82 00:04:26,400 --> 00:04:28,280 Speaker 2: The next I was speaking in tongues to the ghost 83 00:04:28,360 --> 00:04:31,080 Speaker 2: of Walter Mondale. I don't know what that means. And 84 00:04:31,120 --> 00:04:35,039 Speaker 2: then this Joe had vanished, not died, not resigned, just 85 00:04:35,200 --> 00:04:38,520 Speaker 2: slipped into a pocket universe somewhere between Scranton in senility. 86 00:04:38,839 --> 00:04:41,200 Speaker 2: They found his shoes in the rose gardens, still tied, 87 00:04:41,240 --> 00:04:44,160 Speaker 2: no footprints, just a pile of Werthers wrappers and an 88 00:04:44,200 --> 00:04:48,159 Speaker 2: open classified folder labeled very sensitive, no joke. The Secret 89 00:04:48,240 --> 00:04:51,479 Speaker 2: Service filed a missing person's report, and the Democratic National 90 00:04:51,520 --> 00:04:53,440 Speaker 2: Committee filed a lawsuit against reality. 91 00:04:53,720 --> 00:04:57,039 Speaker 1: It fell to me and it goes, oh, like that, 92 00:04:57,120 --> 00:05:00,400 Speaker 1: that's beautiful. It really is read as much that as 93 00:05:00,400 --> 00:05:03,720 Speaker 1: you want. I'll read a little bit here. I had 94 00:05:03,760 --> 00:05:06,480 Speaker 1: one hundred and seven days, one hundred and seven chances 95 00:05:06,520 --> 00:05:10,120 Speaker 1: to impersonate lucidity. I learned that the line between commander 96 00:05:10,120 --> 00:05:12,800 Speaker 1: in chief and celebrity mental breakdown is thinner than a 97 00:05:12,839 --> 00:05:15,640 Speaker 1: CNN chirn. One morning I woke up convinced I was 98 00:05:15,680 --> 00:05:19,120 Speaker 1: Angela Bassett. Another I tried to ban time zones for equity. 99 00:05:23,040 --> 00:05:27,279 Speaker 2: Oh my god. What's notable about this? I think? 100 00:05:27,480 --> 00:05:31,039 Speaker 1: Is Halpern happen to hear part of his podcast I 101 00:05:31,040 --> 00:05:37,640 Speaker 1: think it was yesterday? Is like studiously even handed, like 102 00:05:37,839 --> 00:05:40,839 Speaker 1: serious about being a journalist. And if you get swept 103 00:05:40,880 --> 00:05:44,160 Speaker 1: up in partisanship, you can't be a good journalist, and 104 00:05:44,200 --> 00:05:44,800 Speaker 1: so he's not. 105 00:05:46,160 --> 00:05:47,279 Speaker 2: But even a guy. 106 00:05:47,160 --> 00:05:50,279 Speaker 1: Like him finds the idea of Kamala penning a book 107 00:05:50,440 --> 00:05:51,560 Speaker 1: about that campaign. 108 00:05:51,720 --> 00:05:54,119 Speaker 2: I watched his podcast how Much every day. They all agree, 109 00:05:54,160 --> 00:05:57,080 Speaker 2: including the Democrat represented on there. She was a horrible, horrible, 110 00:05:57,200 --> 00:06:01,640 Speaker 2: horrible candidate. Right, give you one more thing here. In 111 00:06:01,680 --> 00:06:05,160 Speaker 2: our first week, we lost Montana, not the primary, the 112 00:06:05,240 --> 00:06:10,159 Speaker 2: state its succeeded and joined the European Union. By day ten, 113 00:06:10,240 --> 00:06:12,880 Speaker 2: my approval rating was listed on Zillo. I don't know 114 00:06:12,880 --> 00:06:17,320 Speaker 2: what that means either, And yet I kept going because 115 00:06:17,360 --> 00:06:19,760 Speaker 2: every time I closed my eyes, I saw her Hillary 116 00:06:20,000 --> 00:06:23,120 Speaker 2: hovering like a thundercloud with a headband. She whispered win 117 00:06:23,240 --> 00:06:25,680 Speaker 2: or die, bitch, and then she vanished in a puffet 118 00:06:25,880 --> 00:06:33,000 Speaker 2: of expired chardonnay. So that's not a good start for 119 00:06:33,080 --> 00:06:36,240 Speaker 2: Kamala Harrison her book in her campaign that you know, 120 00:06:36,680 --> 00:06:41,880 Speaker 2: I don't think she has no support, Well, it's it 121 00:06:42,080 --> 00:06:44,600 Speaker 2: and has the stench of the loser about her. I 122 00:06:44,640 --> 00:06:48,039 Speaker 2: think it's the most delusional attempt to be president. I 123 00:06:48,080 --> 00:06:50,960 Speaker 2: can remember lots of people run for president and you think, wow, 124 00:06:51,000 --> 00:06:52,800 Speaker 2: you think you can win. But I mean, she has 125 00:06:52,920 --> 00:06:59,080 Speaker 2: tried it. Twice and just been absolutely spanked both times. Right, 126 00:07:00,200 --> 00:07:02,000 Speaker 2: even when she was getting of jokes. 127 00:07:02,040 --> 00:07:03,919 Speaker 1: I mean, there are plenty of people that lose that 128 00:07:04,000 --> 00:07:06,480 Speaker 1: aren't nearly the butt o joke. 129 00:07:06,480 --> 00:07:07,200 Speaker 2: That she is. 130 00:07:07,360 --> 00:07:11,680 Speaker 1: It's borderline hilarious that she thinks, let's try this one 131 00:07:11,680 --> 00:07:12,080 Speaker 1: more time. 132 00:07:12,200 --> 00:07:14,200 Speaker 2: Well, right, so the one hundred and seven days is 133 00:07:14,200 --> 00:07:16,160 Speaker 2: so she can go around making the point is I 134 00:07:16,200 --> 00:07:18,040 Speaker 2: had a hundreds. All I had was one hundred and 135 00:07:18,040 --> 00:07:20,120 Speaker 2: seven days most people have heard. The other way to 136 00:07:20,160 --> 00:07:22,240 Speaker 2: look at is that you were giving the given the 137 00:07:22,280 --> 00:07:27,480 Speaker 2: biggest head start anybody's ever had, where you just landed 138 00:07:27,520 --> 00:07:30,200 Speaker 2: as the nominee with all the money, They're ready to go, 139 00:07:30,360 --> 00:07:32,680 Speaker 2: the whole thing in place. You didn't have to go 140 00:07:32,760 --> 00:07:34,720 Speaker 2: through the primaries and do all that sort of stuff, 141 00:07:35,240 --> 00:07:38,200 Speaker 2: and it turned out the way it turned out. 142 00:07:39,080 --> 00:07:41,240 Speaker 5: I believe the word you were looking to describe her 143 00:07:41,640 --> 00:07:43,600 Speaker 5: campaign was abysmal. 144 00:07:44,120 --> 00:07:44,320 Speaker 2: Yeah. 145 00:07:44,760 --> 00:07:47,040 Speaker 4: Our list from her, Yeah. 146 00:07:46,520 --> 00:07:46,920 Speaker 2: That's right. 147 00:07:47,000 --> 00:07:51,640 Speaker 1: From the other day, Yeah, abysmal ah. 148 00:07:51,720 --> 00:07:52,080 Speaker 2: Yeah. 149 00:07:52,120 --> 00:07:55,080 Speaker 1: But again, you know, maybe my theory of the other 150 00:07:55,200 --> 00:07:59,480 Speaker 1: Day is at least in second place, not that she's delusional, 151 00:08:00,080 --> 00:08:03,520 Speaker 1: but that she will raise enough money from those who 152 00:08:03,600 --> 00:08:08,160 Speaker 1: are delusional that she can travel around the country, eating 153 00:08:08,240 --> 00:08:11,119 Speaker 1: and drinking and living in style on somebody else's tab 154 00:08:11,240 --> 00:08:15,160 Speaker 1: for at least another couple of years. I mean, because honestly, 155 00:08:15,720 --> 00:08:20,600 Speaker 1: you could live a very exotic, fun life considering she 156 00:08:20,680 --> 00:08:22,800 Speaker 1: and her her husband have a fair amount of money anyway, 157 00:08:23,400 --> 00:08:26,320 Speaker 1: if she got an infusionist, say three hundred and fifty 158 00:08:26,360 --> 00:08:30,160 Speaker 1: thousand dollars in contributions, and she'll get way more than 159 00:08:30,200 --> 00:08:32,719 Speaker 1: that for her pack or her committee or whatever the 160 00:08:32,760 --> 00:08:35,040 Speaker 1: heck it is, and she'll use it to as I said, 161 00:08:35,320 --> 00:08:39,960 Speaker 1: she will, you know, weigh in on the Touch and 162 00:08:39,960 --> 00:08:43,680 Speaker 1: Go race and Aspen and then the very close race 163 00:08:43,720 --> 00:08:46,199 Speaker 1: in Honolulu and then one in Miami Beach and live 164 00:08:46,200 --> 00:08:47,840 Speaker 1: a great life like Al Sharpton always. 165 00:08:47,840 --> 00:08:50,079 Speaker 2: It's possible she's doing the Al Sharpton thing where you 166 00:08:50,160 --> 00:08:52,559 Speaker 2: run for president, because it's just a pretty good lifestyle 167 00:08:52,640 --> 00:08:55,760 Speaker 2: and it raises your Q factor, you get on more shows, 168 00:08:55,760 --> 00:08:58,520 Speaker 2: all the stuff. Just like you explain. I think she's serious. 169 00:08:58,600 --> 00:09:01,800 Speaker 2: I think she thinks she got really screwed a little 170 00:09:01,800 --> 00:09:05,080 Speaker 2: more from this fake bookcase. It's kind of funny. This 171 00:09:05,240 --> 00:09:08,360 Speaker 2: is not a story of triumph. It's a story of motion, sickness, 172 00:09:08,720 --> 00:09:12,080 Speaker 2: of Beije hotel rooms and interns named kai of crying 173 00:09:12,080 --> 00:09:17,560 Speaker 2: on hot mics and clapping for things you hate. Oh 174 00:09:17,600 --> 00:09:20,439 Speaker 2: my god, it's a story of a woman asked to 175 00:09:20,480 --> 00:09:23,240 Speaker 2: save a country that couldn't remember her job title. This 176 00:09:23,280 --> 00:09:26,120 Speaker 2: is one hundred and seven days. Hold your applause. You'll 177 00:09:26,160 --> 00:09:28,880 Speaker 2: need both hands to cover your face. It was a Friday, 178 00:09:29,080 --> 00:09:31,440 Speaker 2: always is the kind of Friday where you open your 179 00:09:31,440 --> 00:09:34,160 Speaker 2: inbox and know instinctively that democracy has thrown up in 180 00:09:34,200 --> 00:09:36,959 Speaker 2: its mouth. I was Vice President of the United States, 181 00:09:37,000 --> 00:09:39,440 Speaker 2: a title I wore like an inherited sweater. Two big, 182 00:09:39,559 --> 00:09:43,160 Speaker 2: slightly itchy, tolerated for family photos. I had spent three 183 00:09:43,200 --> 00:09:45,840 Speaker 2: and a half years giving speeches that nobody watched, cutting 184 00:09:45,880 --> 00:09:49,520 Speaker 2: ribbons at ev charging stations, and explaining to foreign dignitaries 185 00:09:49,559 --> 00:09:52,520 Speaker 2: exactly what it was I did. The President of Guatemala 186 00:09:52,559 --> 00:09:55,480 Speaker 2: once asked me, deadpan, do you run anything. I smiled, 187 00:09:55,679 --> 00:10:02,520 Speaker 2: but now suddenly I did. Wow. Uh, nobody will read 188 00:10:02,520 --> 00:10:04,520 Speaker 2: your book, but that's not the point of putting those 189 00:10:04,520 --> 00:10:05,000 Speaker 2: books out. 190 00:10:06,600 --> 00:10:12,120 Speaker 1: Oh boy, sad, sad, but enjoyable. Couldn't be freaking hilarious. 191 00:10:13,679 --> 00:10:15,719 Speaker 1: Jack is going to be shocked by this. 192 00:10:16,080 --> 00:10:16,280 Speaker 2: One. 193 00:10:16,320 --> 00:10:22,040 Speaker 1: More round one, more of the Sydney Sweeney genes that way. 194 00:10:21,800 --> 00:10:23,840 Speaker 2: Really, and it's a great one. 195 00:10:24,000 --> 00:10:27,439 Speaker 1: You thought the people yelling about it being white supremacy 196 00:10:27,480 --> 00:10:28,840 Speaker 1: and all were full of crap. 197 00:10:29,280 --> 00:10:29,959 Speaker 2: You were wrong. 198 00:10:30,720 --> 00:10:33,360 Speaker 1: You have no idea how full of crap they were. 199 00:10:33,600 --> 00:10:37,120 Speaker 1: I mean, it's delicious, So stay tuned for that. 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I can't 223 00:11:44,280 --> 00:11:47,400 Speaker 2: believe there's another round of the whole genes thing. 224 00:11:47,800 --> 00:11:51,360 Speaker 1: All right, if she has good genes, just like the eugenesis, 225 00:11:51,480 --> 00:11:53,160 Speaker 1: just like the white and predecess. 226 00:11:53,200 --> 00:11:56,160 Speaker 2: It's October first, so we've got quarterly numbers in. 227 00:11:56,520 --> 00:11:58,880 Speaker 1: Remember the August first, depending on who you ask, what 228 00:11:58,920 --> 00:12:00,520 Speaker 1: did I say October? 229 00:12:01,040 --> 00:12:04,800 Speaker 2: It's not October first, it's August first, and quarterly numbers 230 00:12:04,840 --> 00:12:06,920 Speaker 2: are in. And how did they look? How many companies? 231 00:12:07,040 --> 00:12:07,280 Speaker 5: You know? 232 00:12:08,000 --> 00:12:10,960 Speaker 2: I had a good quarter since there were predictions of 233 00:12:11,000 --> 00:12:13,320 Speaker 2: a recession because of the tariff thing and all that. 234 00:12:13,520 --> 00:12:17,640 Speaker 2: We can get into that later too. Stay with us Armstrong. 235 00:12:19,160 --> 00:12:26,280 Speaker 6: Upon good genes activates a troubling historical associations for this country, 236 00:12:26,400 --> 00:12:30,120 Speaker 6: the American eugenics movement, and it's primed between like nineteen 237 00:12:30,240 --> 00:12:34,360 Speaker 6: hundred and nineteen forty weaponized the idea of good genes 238 00:12:35,120 --> 00:12:37,760 Speaker 6: just to justify white supremacism. 239 00:12:38,200 --> 00:12:40,679 Speaker 2: That's a college professor who I think actually believes her 240 00:12:40,720 --> 00:12:43,920 Speaker 2: own bs about that genes commercial. Yeah, so a couple 241 00:12:43,960 --> 00:12:44,280 Speaker 2: of things. 242 00:12:44,360 --> 00:12:48,119 Speaker 1: Number one, here's another ESPN writer mortified by the fascist 243 00:12:48,240 --> 00:12:51,359 Speaker 1: third reiche gene and we should listen to the experts 244 00:12:51,480 --> 00:12:52,240 Speaker 1: like that lady. 245 00:12:52,960 --> 00:12:53,400 Speaker 2: And then. 246 00:12:55,040 --> 00:12:59,120 Speaker 1: Jonah Goldberg of The Dispatch, who was writing about this, 247 00:12:59,160 --> 00:13:02,160 Speaker 1: and he wrote some really funny stuff, but he mentioned 248 00:13:02,160 --> 00:13:06,400 Speaker 1: that Amber Rakin of The Independent tells us, well, what 249 00:13:06,440 --> 00:13:09,840 Speaker 1: we just heard. MSNBC declared Sydney Sweeney's ads there's an 250 00:13:09,960 --> 00:13:15,160 Speaker 1: unbrighted cultural shiftness toward whiteness. And just in case you 251 00:13:15,200 --> 00:13:16,599 Speaker 1: didn't know if that was a bad thing or a 252 00:13:16,640 --> 00:13:19,200 Speaker 1: good thing, the sub had his advertisements are always mirrors 253 00:13:19,240 --> 00:13:22,480 Speaker 1: of society, and sometimes what they reflect is ugly and startling. 254 00:13:22,800 --> 00:13:28,040 Speaker 1: Therefore whiteness is ugly and startling. Wow, he clipped ten Michael. 255 00:13:28,440 --> 00:13:30,480 Speaker 1: This is a fellow by the name of Lukewood who 256 00:13:30,600 --> 00:13:32,800 Speaker 1: was This was about eight years ago, I think when 257 00:13:32,840 --> 00:13:35,640 Speaker 1: he was a professor. He is now the president of 258 00:13:36,280 --> 00:13:42,520 Speaker 1: California State University Sacramento. He is the president of a university, 259 00:13:42,880 --> 00:13:43,880 Speaker 1: Go ahead and roll him. 260 00:13:43,920 --> 00:13:46,160 Speaker 7: I would not say they're influenced by white people. They're 261 00:13:46,200 --> 00:13:47,520 Speaker 7: influenced by whiteness. 262 00:13:47,880 --> 00:13:48,640 Speaker 2: What does that mean. 263 00:13:48,800 --> 00:13:52,720 Speaker 7: Whiteness is an ideology, it's a culture, it's a value system. 264 00:13:53,200 --> 00:13:54,680 Speaker 7: And what we need to do is we need to 265 00:13:54,720 --> 00:13:56,600 Speaker 7: eliminate that value system. 266 00:13:56,840 --> 00:13:58,880 Speaker 8: You want to eliminate whiteness. 267 00:13:59,120 --> 00:14:00,839 Speaker 7: Whiteness, not white people whiteness. 268 00:14:01,000 --> 00:14:04,960 Speaker 8: But how do you eliminate whiteness without eliminating white people? 269 00:14:05,400 --> 00:14:09,040 Speaker 7: What I want to do is to create an environment 270 00:14:09,360 --> 00:14:14,079 Speaker 7: that is more collective, that is more value driven. And 271 00:14:14,160 --> 00:14:18,120 Speaker 7: I think that that flies an absolute oppositeness. 272 00:14:18,400 --> 00:14:23,080 Speaker 2: A white people are evil? No, they're not evil, not 273 00:14:23,160 --> 00:14:23,440 Speaker 2: at all. 274 00:14:23,480 --> 00:14:25,400 Speaker 8: And then if they're not evil, why would they treat 275 00:14:25,440 --> 00:14:28,160 Speaker 8: another human being to a point that a man like 276 00:14:28,200 --> 00:14:31,120 Speaker 8: you would want to eliminate whiteness? 277 00:14:33,440 --> 00:14:36,600 Speaker 2: We are also anyway people. Yeah, the question is define 278 00:14:36,640 --> 00:14:38,560 Speaker 2: whiteness to me exactly? 279 00:14:38,600 --> 00:14:40,680 Speaker 1: Well, you know, and I could because I've read enough 280 00:14:40,720 --> 00:14:45,000 Speaker 1: woke garbage and the fight against it. It's absolutely true 281 00:14:45,040 --> 00:14:47,840 Speaker 1: that they call it whiteness because white people have a 282 00:14:47,880 --> 00:14:51,280 Speaker 1: lot of the power in Western civilization and guys neo 283 00:14:51,320 --> 00:14:55,400 Speaker 1: Marxists like Luke would and Luke, you are a neo Marxist. 284 00:14:55,480 --> 00:14:58,200 Speaker 1: You're a racist. You're a racialist, and I will spend 285 00:14:58,320 --> 00:15:00,720 Speaker 1: every ounce of my energy fight you and people like 286 00:15:00,760 --> 00:15:03,040 Speaker 1: you until God whisks me up to Heaven for the 287 00:15:03,080 --> 00:15:07,480 Speaker 1: cosmic ass kicking I've so richly earned. Wow, but you 288 00:15:07,560 --> 00:15:10,560 Speaker 1: are a rotten human being. But so, in just a 289 00:15:10,680 --> 00:15:13,760 Speaker 1: quick aside, can you imagine what I'd like to do 290 00:15:13,840 --> 00:15:18,040 Speaker 1: is eliminate jew nous, not Jewish people, but you know, 291 00:15:18,440 --> 00:15:21,840 Speaker 1: acting like a Jew, You know how Jews act, or 292 00:15:22,160 --> 00:15:25,520 Speaker 1: or even blackness. Saying black people are bad just the 293 00:15:25,560 --> 00:15:29,360 Speaker 1: way they act is really bad. Yeah, that's a very 294 00:15:29,360 --> 00:15:32,280 Speaker 1: good point. You would not get away with saying that 295 00:15:32,760 --> 00:15:37,280 Speaker 1: it's disgusting and despicable, and so is mister Wood. But anyway, 296 00:15:38,000 --> 00:15:41,760 Speaker 1: so getting back to Joonah Goldberg, who mentions the whiteness thing. 297 00:15:42,320 --> 00:15:44,920 Speaker 2: Uh, and this is what I thought was really really interesting. 298 00:15:45,000 --> 00:15:48,120 Speaker 1: And this we don't need to quote unquote prove that 299 00:15:48,160 --> 00:15:50,240 Speaker 1: these people are full of crap, but I think this 300 00:15:50,320 --> 00:15:53,800 Speaker 1: shows the depth of how full of crap they are. 301 00:15:54,920 --> 00:15:58,280 Speaker 1: So Jodah quotes a couple of articles and Salon informs 302 00:15:58,320 --> 00:16:00,800 Speaker 1: that informs us that the u genics movement in the 303 00:16:00,880 --> 00:16:03,760 Speaker 1: US often promoted the idea of good genes to encourage 304 00:16:03,760 --> 00:16:05,880 Speaker 1: reproduction among white able bodies. 305 00:16:05,920 --> 00:16:07,800 Speaker 2: It was part of some of their cold code words. 306 00:16:08,000 --> 00:16:11,800 Speaker 1: We played the clip upun good genes activates troubling historical 307 00:16:11,880 --> 00:16:16,320 Speaker 1: associations for the country, blah blah blah. And interestingly enough, Jonah, 308 00:16:16,400 --> 00:16:18,480 Speaker 1: who you know, does this sort of thing for a living. 309 00:16:18,760 --> 00:16:21,600 Speaker 1: He thought, you know, I'm going to take their argument 310 00:16:21,960 --> 00:16:26,720 Speaker 1: literally and figure it out. And so they did what's 311 00:16:26,800 --> 00:16:29,640 Speaker 1: called an n gram search. It's a search for terms 312 00:16:30,000 --> 00:16:37,280 Speaker 1: like through everything published in the English language, certainly through history. 313 00:16:38,080 --> 00:16:42,040 Speaker 2: And he did a search for the term good genes. 314 00:16:43,280 --> 00:16:45,560 Speaker 2: And here you go. If you search for mentions of good. 315 00:16:45,480 --> 00:16:48,320 Speaker 1: Genes blah blah blah, you'll discover that there are basically 316 00:16:48,440 --> 00:16:51,760 Speaker 1: no mentions of the term until the early nineteen seventies, 317 00:16:52,680 --> 00:16:55,920 Speaker 1: nobody said it. And it takes off like a rocket 318 00:16:55,960 --> 00:16:57,800 Speaker 1: after that. I don't want to get deep into the 319 00:16:57,800 --> 00:17:00,040 Speaker 1: weeds here, he writes. But the American eugenics move but 320 00:17:00,080 --> 00:17:02,360 Speaker 1: it started to die in the nineteen forties, and the 321 00:17:02,400 --> 00:17:05,520 Speaker 1: reckoning with its legacy began in earnest in the nineteen seventies. 322 00:17:05,560 --> 00:17:08,920 Speaker 1: At the precise moment the term started taking off. If 323 00:17:08,960 --> 00:17:12,760 Speaker 1: you google for things like good genes, you'll find countless 324 00:17:12,760 --> 00:17:17,080 Speaker 1: stories about athletes, including many, many black athletes, and how 325 00:17:17,119 --> 00:17:20,080 Speaker 1: they have you guessed it, good genes. You can do 326 00:17:20,119 --> 00:17:22,400 Speaker 1: the same thing with good genes and cancer and good 327 00:17:22,440 --> 00:17:25,840 Speaker 1: genes in almost anything, and you'll find scads, piles, heaps 328 00:17:25,840 --> 00:17:30,679 Speaker 1: of usages that have no connection to Francis Galton, widely 329 00:17:30,680 --> 00:17:33,600 Speaker 1: seen as the founder of eugenics, along with planned parenthood 330 00:17:33,840 --> 00:17:38,080 Speaker 1: or Well Hitler. It's not a term that anybody's ever 331 00:17:38,280 --> 00:17:39,520 Speaker 1: used in that context. 332 00:17:39,840 --> 00:17:44,600 Speaker 2: That's pretty interesting. So the premise is completely false. That 333 00:17:44,720 --> 00:17:46,440 Speaker 2: is not a term that was being used in the 334 00:17:46,480 --> 00:17:48,040 Speaker 2: early twentieth century. 335 00:17:47,760 --> 00:17:49,719 Speaker 1: And even if it was, that would still be a 336 00:17:49,760 --> 00:17:55,280 Speaker 1: stupid argument. But their premise isn't even correct. Wow, so 337 00:17:55,400 --> 00:17:57,679 Speaker 1: again what you knew. They're full of crap. Now you 338 00:17:57,720 --> 00:17:58,840 Speaker 1: know how full of crap? 339 00:17:58,920 --> 00:18:02,680 Speaker 2: What a dumb contra. If you missed a segment or 340 00:18:02,680 --> 00:18:04,919 Speaker 2: an hour, especially on a Friday, subscribe to the podcast 341 00:18:05,040 --> 00:18:08,679 Speaker 2: Armstrong and Getty on demand Armstrong and Getty. 342 00:18:10,400 --> 00:18:13,239 Speaker 1: Well, this is why the radioactive wasp nest was just 343 00:18:13,280 --> 00:18:15,159 Speaker 1: found at a site where the US used to make 344 00:18:15,280 --> 00:18:16,160 Speaker 1: nuclear bombs. 345 00:18:17,119 --> 00:18:18,160 Speaker 2: Sounds scary, but don't worry. 346 00:18:18,160 --> 00:18:20,160 Speaker 3: They're sending a dad with a whiffleball bat to take 347 00:18:20,200 --> 00:18:20,480 Speaker 3: care of it. 348 00:18:21,640 --> 00:18:26,040 Speaker 2: I send the door something, screen, door something, everyone in 349 00:18:26,080 --> 00:18:32,720 Speaker 2: where's the baby, Where's a bit radioactive wasps? 350 00:18:33,320 --> 00:18:37,119 Speaker 1: I was into the Japanese post WW two horror movies 351 00:18:37,200 --> 00:18:39,720 Speaker 1: for a while, where it was always the same thing. 352 00:18:39,920 --> 00:18:43,800 Speaker 1: Radioactivity had caused a crab to become enormous, or a 353 00:18:43,920 --> 00:18:47,440 Speaker 1: chicken or a lizard or whatever. I don't think did 354 00:18:47,440 --> 00:18:49,920 Speaker 1: they ever do a wasp, because that would be terrifying. 355 00:18:51,280 --> 00:18:53,280 Speaker 2: I have so much to say about the end of 356 00:18:53,280 --> 00:18:55,720 Speaker 2: World War Two, but I'm hanging on till week after 357 00:18:55,840 --> 00:18:59,440 Speaker 2: next when the whole country is talking about the eightieth 358 00:18:59,400 --> 00:19:02,960 Speaker 2: anniversary up in the bom Yeah, okay, all right, fair enough. 359 00:19:03,600 --> 00:19:06,880 Speaker 1: So among the great things the Trump administration has done, 360 00:19:06,960 --> 00:19:10,439 Speaker 1: Donald J himself, certainly the borders, I think in a 361 00:19:10,440 --> 00:19:15,040 Speaker 1: lot of people's minds maybe number one. But rolling back 362 00:19:15,119 --> 00:19:19,760 Speaker 1: the climate cult is way towards the top, with the 363 00:19:19,760 --> 00:19:23,920 Speaker 1: help of Department of Energy Secretary Chris Wright. And there's 364 00:19:23,960 --> 00:19:27,240 Speaker 1: a new report out. Kim Strassel in the Wall Street 365 00:19:27,280 --> 00:19:31,320 Speaker 1: Journals writing about it, and it's just so good. And look, 366 00:19:31,359 --> 00:19:34,720 Speaker 1: we're not oil company hacks here. You don't have a 367 00:19:34,840 --> 00:19:36,480 Speaker 1: oh you are wow. 368 00:19:36,640 --> 00:19:38,320 Speaker 2: That explains the Ferrari. 369 00:19:40,440 --> 00:19:43,520 Speaker 1: We don't have any particular you know, the dog in 370 00:19:43,520 --> 00:19:45,720 Speaker 1: the fight as they say, although dog fighting is abhorrent. 371 00:19:46,280 --> 00:19:48,639 Speaker 1: I just want to know what the truth is and 372 00:19:49,080 --> 00:19:51,000 Speaker 1: have good sound policy based on the truth. 373 00:19:52,280 --> 00:19:56,320 Speaker 2: But the Energy Department issued a report. 374 00:19:56,480 --> 00:19:59,760 Speaker 1: Entitled and this is Sexy, A Critical Review of Impacts 375 00:19:59,760 --> 00:20:02,800 Speaker 1: of Great house Gas Emissions on the US Climate, and 376 00:20:03,119 --> 00:20:07,679 Speaker 1: the New York Times, among others, just foaming with indignation, 377 00:20:08,440 --> 00:20:12,800 Speaker 1: just try to shame it their climate skeptics who misrepresented 378 00:20:12,960 --> 00:20:18,440 Speaker 1: cherry pick as they undermine an attack the scientific consensus. 379 00:20:18,960 --> 00:20:21,040 Speaker 2: Which is a hell of a change from you know, 380 00:20:21,160 --> 00:20:24,320 Speaker 2: during the Biden years. But as Kim Wrights. 381 00:20:24,240 --> 00:20:27,280 Speaker 1: Note, what's missing from this diatribe a favorite word of 382 00:20:27,280 --> 00:20:31,520 Speaker 1: the critics, yet one they couldn't deploy here denier. The report, 383 00:20:31,560 --> 00:20:35,280 Speaker 1: written by five respected scientists, including the former chief scientific 384 00:20:35,359 --> 00:20:40,159 Speaker 1: officer in the Obama Energy Department, does not deny the 385 00:20:40,200 --> 00:20:44,359 Speaker 1: climate is changing. Energy Secretary Chris Wright, in an opening letter, 386 00:20:44,400 --> 00:20:48,159 Speaker 1: notes climate change is real and it deserves attention. The 387 00:20:48,320 --> 00:20:52,320 Speaker 1: report instead provides a holistic picture of the messy reality 388 00:20:52,320 --> 00:20:56,440 Speaker 1: of climate research, it's many areas of uncertainty, disputes, unknowns. 389 00:20:56,920 --> 00:21:00,200 Speaker 1: Many people never hear about this complicated debate since only 390 00:21:00,240 --> 00:21:04,440 Speaker 1: a subset of scientists with the correct views are given voice. 391 00:21:05,480 --> 00:21:08,359 Speaker 1: She points out that the idea of scientific consensus is 392 00:21:08,400 --> 00:21:11,760 Speaker 1: the opposite of what science is. You test, you test, 393 00:21:11,840 --> 00:21:15,080 Speaker 1: you test, you look for flaws, you look for improvements. Anyway, 394 00:21:15,880 --> 00:21:19,560 Speaker 1: here are some non controversial findings from the report based 395 00:21:19,600 --> 00:21:22,480 Speaker 1: on peer reviewed literature from recent years. And it might 396 00:21:22,520 --> 00:21:27,520 Speaker 1: surprise lefties. This is the evil Trump administration. Global warming 397 00:21:27,640 --> 00:21:32,800 Speaker 1: has risks, it also has benefits, including greater agricultural productivity. 398 00:21:33,560 --> 00:21:36,560 Speaker 1: We still don't know the extent to which human activity 399 00:21:36,600 --> 00:21:41,840 Speaker 1: plays a role in warming because of natural variability, data limitations, 400 00:21:42,080 --> 00:21:46,360 Speaker 1: uncertain models, and fluctuations in solar activity, so it's difficult 401 00:21:46,400 --> 00:21:49,400 Speaker 1: to say how much affect humans have had. Models predicting 402 00:21:49,440 --> 00:21:52,679 Speaker 1: what is to come are all over the map. US 403 00:21:52,760 --> 00:21:57,159 Speaker 1: historical data does not support claims of increased frequency or 404 00:21:57,200 --> 00:21:58,639 Speaker 1: intensity of extreme weather. 405 00:21:58,960 --> 00:22:01,320 Speaker 2: It's just not there. It comes and goes in ways. 406 00:22:01,359 --> 00:22:01,520 Speaker 1: I know. 407 00:22:01,560 --> 00:22:03,640 Speaker 2: I've seen those charts, and even in like the Washington 408 00:22:03,680 --> 00:22:06,199 Speaker 2: Post of New York Times, they've been fair enough to 409 00:22:06,200 --> 00:22:09,480 Speaker 2: point out that, yeah, this wasn't worse hurricane season. I 410 00:22:09,520 --> 00:22:12,280 Speaker 2: mean it was worse than last year, but it's third 411 00:22:12,800 --> 00:22:17,200 Speaker 2: to like the fifties or whatever. And by the way, 412 00:22:17,400 --> 00:22:20,879 Speaker 2: go ahead jack your midsense, just that there's no clear 413 00:22:21,240 --> 00:22:23,760 Speaker 2: graph showing that things are getting worse with the with 414 00:22:23,840 --> 00:22:24,880 Speaker 2: the extreme weather. 415 00:22:25,560 --> 00:22:28,560 Speaker 1: I was going to say, as a part time South 416 00:22:28,640 --> 00:22:32,119 Speaker 1: Carolinian with property there, I am really really into the 417 00:22:32,200 --> 00:22:35,800 Speaker 1: question of hurricanes and hurricane frequency right on the coast. Anyway, 418 00:22:37,040 --> 00:22:40,920 Speaker 1: US climate policies, even drastic ones, will have negligible effects 419 00:22:41,200 --> 00:22:46,880 Speaker 1: on global temperatures, says the report, which is just self evident. 420 00:22:46,560 --> 00:22:48,240 Speaker 2: Clearly true. 421 00:22:48,960 --> 00:22:53,119 Speaker 1: Again US climate policy as China and India. If it 422 00:22:53,200 --> 00:22:55,840 Speaker 1: were only those two, that would settle the argument. Continue 423 00:22:55,880 --> 00:22:57,840 Speaker 1: to do the same things. We can't have any effect 424 00:22:58,000 --> 00:22:58,800 Speaker 1: or negligible thing. 425 00:22:58,840 --> 00:23:03,080 Speaker 2: But if you US don't ten dollars to carbon offsets 426 00:23:03,080 --> 00:23:06,560 Speaker 2: when you buy your next Southwest airfare ticket, knock yourself out. 427 00:23:07,440 --> 00:23:10,760 Speaker 1: So, getting back to quoting miss Strassel, this is the honest, 428 00:23:10,920 --> 00:23:14,320 Speaker 1: modest assessment of the state of climate science today, which 429 00:23:14,359 --> 00:23:17,200 Speaker 1: explains the climate activist fury since it is at odds 430 00:23:17,280 --> 00:23:21,520 Speaker 1: with the controlled story of mass extinction and end of glaciers. 431 00:23:21,560 --> 00:23:22,800 Speaker 2: And deafly heat. 432 00:23:22,600 --> 00:23:29,320 Speaker 1: Waves that the consensus gatekeepers obsessively enforce. Complete control over 433 00:23:29,359 --> 00:23:32,320 Speaker 1: that scientific narrative has been essential to their ability to 434 00:23:32,359 --> 00:23:35,800 Speaker 1: manipulate debate, and, under Joe Biden's presidency, gear the entire 435 00:23:35,840 --> 00:23:39,960 Speaker 1: government to fighting the threat, which means handing out trillions 436 00:23:39,960 --> 00:23:42,960 Speaker 1: of dollars to cronies. That's so anyway, you know, there's 437 00:23:43,000 --> 00:23:44,320 Speaker 1: one of us. Seems very very good. 438 00:23:44,359 --> 00:23:46,840 Speaker 2: But how many times have there men predictions of ten 439 00:23:46,920 --> 00:23:48,960 Speaker 2: years from now, twelve years from now, I'll I'll be over, 440 00:23:49,000 --> 00:23:50,960 Speaker 2: there's no turning back. And then we get twelve years 441 00:23:51,200 --> 00:23:53,280 Speaker 2: further down the line and things are about the same 442 00:23:53,320 --> 00:23:56,040 Speaker 2: as they were before. All the polar bear bears will 443 00:23:56,040 --> 00:23:58,360 Speaker 2: be dead and the rest of it. You have stolen 444 00:23:58,440 --> 00:24:03,040 Speaker 2: my dreams childhood with your empty words sold people like you. 445 00:24:03,160 --> 00:24:05,080 Speaker 2: Joe stole that young girl's dreams. 446 00:24:05,520 --> 00:24:13,880 Speaker 1: Yeah. Yeah, So this horrible, horrible new approach is jump 447 00:24:14,000 --> 00:24:18,680 Speaker 1: back into the science challenge the notion of consensus. Uh 448 00:24:19,560 --> 00:24:22,399 Speaker 1: you know, remember some of the forgotten factors in the debate, 449 00:24:22,480 --> 00:24:25,760 Speaker 1: like cost, competing priorities, what it would do to the economy, poverty, 450 00:24:25,760 --> 00:24:29,520 Speaker 1: in general, health outcomes, and in general, assure insure Americans 451 00:24:29,520 --> 00:24:33,200 Speaker 1: have the whole picture. You shall in an ironic note, 452 00:24:33,240 --> 00:24:36,600 Speaker 1: you should be back in school. She should be back 453 00:24:36,600 --> 00:24:38,200 Speaker 1: in school. She should be back the hell up. 454 00:24:39,160 --> 00:24:42,000 Speaker 4: I shouldn't be up here. It's all wrong. 455 00:24:42,480 --> 00:24:45,159 Speaker 1: Well, because you're a child, and you have no idea 456 00:24:45,160 --> 00:24:47,560 Speaker 1: what you're talking about, and you're autistic, and you got 457 00:24:47,600 --> 00:24:50,520 Speaker 1: swept up in an emotional idea that the world is 458 00:24:50,560 --> 00:24:53,280 Speaker 1: going to perish in a fiery something or other, and 459 00:24:53,320 --> 00:24:54,200 Speaker 1: it's just wrong. 460 00:24:54,359 --> 00:24:57,160 Speaker 2: Sweete oh you okay. 461 00:24:59,320 --> 00:25:01,679 Speaker 1: And in a little bit of irony. As I was 462 00:25:01,720 --> 00:25:06,880 Speaker 1: scrolling through the Wall Street Journal's mobile site, the next 463 00:25:07,000 --> 00:25:10,639 Speaker 1: story after the editorial section, and Kim Strassel was the 464 00:25:11,040 --> 00:25:15,160 Speaker 1: last editorial, just visually on the site. The next story 465 00:25:15,200 --> 00:25:18,840 Speaker 1: is from the Science and Environment desk. Climate skeptics are 466 00:25:18,880 --> 00:25:24,679 Speaker 1: tapped by Trump administration to justify regulatory rollback. Report challenges 467 00:25:24,800 --> 00:25:30,280 Speaker 1: decades of scientific findings to undermine EPA authority by a 468 00:25:30,320 --> 00:25:35,880 Speaker 1: couple of utterly mainstream lefty journalists, repeating all the very 469 00:25:36,000 --> 00:25:41,480 Speaker 1: canards that Kim and the report had, very calmly and 470 00:25:41,640 --> 00:25:45,680 Speaker 1: rationally said, Hey, we can't just lean on these cliches. 471 00:25:45,720 --> 00:25:48,800 Speaker 1: Look at these facts and these facts and this balance 472 00:25:48,800 --> 00:25:51,080 Speaker 1: of this interest versus this interest. Can we have an 473 00:25:51,119 --> 00:25:53,800 Speaker 1: intelligent discussion. But the next story in the journal it 474 00:25:53,880 --> 00:25:58,919 Speaker 1: was a bunch of emotional lefty limpress dudes talking about 475 00:25:58,920 --> 00:26:03,320 Speaker 1: the brutal, brutal Trump administration rolling back the very regulations 476 00:26:03,320 --> 00:26:04,480 Speaker 1: that will save mankind. 477 00:26:04,720 --> 00:26:11,760 Speaker 2: Hilarious. I think my calves are getting bigger. Really been 478 00:26:11,800 --> 00:26:15,480 Speaker 2: working on my calves because I have seen you mean 479 00:26:15,480 --> 00:26:20,639 Speaker 2: your lower leg, not your young cows. Uh, yes, the 480 00:26:20,840 --> 00:26:24,000 Speaker 2: space between my ankle and my knee. Yes, katies. 481 00:26:24,440 --> 00:26:26,840 Speaker 4: Did you buy the rubber ones on Amazon? 482 00:26:27,320 --> 00:26:30,400 Speaker 2: No, I haven't gotten implants. I am. I've been exercising 483 00:26:30,440 --> 00:26:31,000 Speaker 2: my calves. 484 00:26:31,359 --> 00:26:33,720 Speaker 5: Oh no, they got hard. They got little slip ons. 485 00:26:33,760 --> 00:26:37,280 Speaker 5: You can you know we're doing Yeah? Oh yeah, it's ridiculous. 486 00:26:37,400 --> 00:26:38,520 Speaker 5: You've been doing calf phrases. 487 00:26:39,080 --> 00:26:42,400 Speaker 2: The slip ons though, to wear like inside of pants. 488 00:26:42,880 --> 00:26:45,680 Speaker 5: They have full body slip ons that will make you 489 00:26:45,720 --> 00:26:47,119 Speaker 5: look absolutely yoked. 490 00:26:47,480 --> 00:26:49,480 Speaker 2: But you'd have to be wearing clothes over them, right, 491 00:26:49,560 --> 00:26:51,040 Speaker 2: or you would look like you're wearing plastic. 492 00:26:51,440 --> 00:26:53,920 Speaker 5: Uh yeah, yeah, but if. 493 00:26:54,080 --> 00:26:56,359 Speaker 2: So, I'm wearing pants that are tight enough around the 494 00:26:56,480 --> 00:27:01,800 Speaker 2: calves that you can see my bulging calf fake half muscles? Yeah, wow, 495 00:27:01,880 --> 00:27:02,439 Speaker 2: you have. 496 00:27:03,800 --> 00:27:04,119 Speaker 6: None? 497 00:27:04,480 --> 00:27:09,240 Speaker 1: What's the term that you fancy people use non incidental. 498 00:27:09,520 --> 00:27:10,800 Speaker 2: No, you have. 499 00:27:11,040 --> 00:27:17,719 Speaker 1: Significant, right, you have significant mental slash emotional problems if 500 00:27:17,760 --> 00:27:18,119 Speaker 1: you do that. 501 00:27:18,600 --> 00:27:22,000 Speaker 2: If you wear plastic, bigger calves underneath your tight pants, 502 00:27:22,040 --> 00:27:23,119 Speaker 2: hoping someone the motives. 503 00:27:23,280 --> 00:27:24,280 Speaker 4: Yeah, it's kind of like. 504 00:27:24,200 --> 00:27:26,399 Speaker 5: A girl taking off her eyelashes in her makeup and 505 00:27:26,480 --> 00:27:27,399 Speaker 5: having fake you know. 506 00:27:27,480 --> 00:27:30,000 Speaker 2: What, Wait a second, Katie's got a point here. Wait wait, wait, 507 00:27:30,240 --> 00:27:33,720 Speaker 2: so a lot you know what's or fake? I'm out please. 508 00:27:34,720 --> 00:27:37,199 Speaker 2: If you're wearing the big padded bra, that makes it 509 00:27:37,320 --> 00:27:40,880 Speaker 2: like thirty to fifty percent more than what is real. 510 00:27:40,920 --> 00:27:42,920 Speaker 2: What's the difference between that and having bigger cabs. 511 00:27:42,960 --> 00:27:45,000 Speaker 5: Yeah, and you take your eyelashes off and you're wearing 512 00:27:45,000 --> 00:27:47,200 Speaker 5: a wig, there is no difference. 513 00:27:47,200 --> 00:27:51,800 Speaker 2: They're both fraud. I'm the consistent one here at Joe 514 00:27:51,960 --> 00:27:53,879 Speaker 2: Joe is above us all but one of them is 515 00:27:53,920 --> 00:27:58,760 Speaker 2: obviously very very common, and I realized one of them 516 00:27:58,880 --> 00:28:05,320 Speaker 2: is a common uh uh, sex adjacent part that gets 517 00:28:05,320 --> 00:28:08,280 Speaker 2: people's attention. It's a little weirder to do it for 518 00:28:08,320 --> 00:28:12,080 Speaker 2: something like calves. But how about eyelashes? I like, what 519 00:28:12,320 --> 00:28:15,200 Speaker 2: was it? You know, fake eyelashes? Why it's fake ale eyelashes? Okay, 520 00:28:15,200 --> 00:28:17,639 Speaker 2: but A fake calf is not you have it. 521 00:28:17,760 --> 00:28:19,560 Speaker 4: You have a solid point, Jack, I do. 522 00:28:19,720 --> 00:28:21,920 Speaker 2: I think it's weird, like if I found out a 523 00:28:22,000 --> 00:28:24,960 Speaker 2: good friend of mine was a you know, we're staying 524 00:28:25,000 --> 00:28:26,440 Speaker 2: at a hotel room. We get up in the morning. Hold 525 00:28:26,440 --> 00:28:28,120 Speaker 2: on a second, I gotta put on my fake calves 526 00:28:28,119 --> 00:28:30,480 Speaker 2: before we get dressed and go out. I think, what 527 00:28:31,440 --> 00:28:32,760 Speaker 2: I don't? I get it. 528 00:28:33,080 --> 00:28:34,640 Speaker 4: I get it, You're fine, don't worry. 529 00:28:34,720 --> 00:28:35,399 Speaker 2: Hey, you do you? 530 00:28:35,680 --> 00:28:36,480 Speaker 4: Jack? You know what I mean. 531 00:28:37,280 --> 00:28:40,480 Speaker 1: Hey, you look fantastic. Get into the BMW. I borrowed 532 00:28:40,520 --> 00:28:42,520 Speaker 1: from my friends, so you would think I have more money. 533 00:28:42,560 --> 00:28:44,760 Speaker 1: And if I can show you this faked up W 534 00:28:45,000 --> 00:28:47,840 Speaker 1: two and the rest of it, and now let's look 535 00:28:47,880 --> 00:28:50,560 Speaker 1: at your fake breasts and your ass, it's fraud. 536 00:28:50,600 --> 00:28:52,760 Speaker 4: It's also to your boutique. 537 00:28:52,320 --> 00:28:55,400 Speaker 2: All right. I understand the lane you're working. I don't 538 00:28:55,400 --> 00:28:58,600 Speaker 2: have a boutique. I have a commune. I understand the 539 00:28:58,680 --> 00:29:02,000 Speaker 2: lane Joe is working there. But it is weird what 540 00:29:01,440 --> 00:29:05,280 Speaker 2: we count as perfectly okay. You can have a completely 541 00:29:05,480 --> 00:29:08,400 Speaker 2: you know, you're gray headed, but you're blonde, and that's 542 00:29:08,560 --> 00:29:10,960 Speaker 2: perfectly acceptable. And I find that perfectly acceptable. 543 00:29:11,120 --> 00:29:12,680 Speaker 4: I have fake nails every day. 544 00:29:12,720 --> 00:29:18,120 Speaker 2: Fake nails or the wearing a bra that completely change 545 00:29:18,320 --> 00:29:24,960 Speaker 2: them off your knees. But also Katie for the wind 546 00:29:25,120 --> 00:29:28,000 Speaker 2: suggests a completely different body shape than what you actually have. 547 00:29:29,520 --> 00:29:31,960 Speaker 2: But with calves, we think it's ridiculous. It's odd where 548 00:29:32,000 --> 00:29:35,520 Speaker 2: we draw the lines on that stuff. But anyway, I 549 00:29:35,560 --> 00:29:37,160 Speaker 2: am trying to do it the old fashioned way with 550 00:29:37,760 --> 00:29:39,680 Speaker 2: calf raises and exercise stuff like that, and I feel 551 00:29:39,720 --> 00:29:41,920 Speaker 2: like I've been taking pictures, and so I got my 552 00:29:42,000 --> 00:29:43,760 Speaker 2: before and after pictures, and I'm trying to compare and 553 00:29:43,800 --> 00:29:44,920 Speaker 2: see if I've got any growth going. 554 00:29:45,000 --> 00:29:46,360 Speaker 4: Yes, that is awesome. 555 00:29:47,360 --> 00:29:50,760 Speaker 2: Sorry, go ahead, but compare before and after pictures. Yeah, 556 00:29:50,760 --> 00:29:54,360 Speaker 2: do measurements. I could do that. Pictures are better. 557 00:29:54,400 --> 00:29:57,400 Speaker 5: Anybody who is trying to lose weight or find some 558 00:29:57,960 --> 00:30:00,479 Speaker 5: like change in their body before and after pictures. 559 00:30:00,600 --> 00:30:01,600 Speaker 4: It's the way to go. 560 00:30:01,920 --> 00:30:05,080 Speaker 2: Well, you're you're an expert. Your your credibility comes from 561 00:30:05,120 --> 00:30:06,640 Speaker 2: you lost how much weight from your peak? 562 00:30:06,960 --> 00:30:07,600 Speaker 4: Seventy five? 563 00:30:07,960 --> 00:30:11,800 Speaker 5: I was two pounds, but every every month I took 564 00:30:11,800 --> 00:30:13,560 Speaker 5: a picture because I was looking the mirror and I 565 00:30:13,560 --> 00:30:15,720 Speaker 5: couldn't see it. But my friend who also did the 566 00:30:15,720 --> 00:30:18,160 Speaker 5: same thing, said, take a picture every month and look 567 00:30:18,200 --> 00:30:18,800 Speaker 5: at the pictures. 568 00:30:18,840 --> 00:30:20,080 Speaker 4: Don't look at yourself in the mirror. 569 00:30:20,160 --> 00:30:22,240 Speaker 2: It is highly motivating. I've been doing that for the 570 00:30:22,240 --> 00:30:24,600 Speaker 2: rest of my body since I started lifting weights. And yeah, 571 00:30:24,640 --> 00:30:26,720 Speaker 2: seeing wow, I didn't feel like i'd done much, But 572 00:30:26,720 --> 00:30:28,360 Speaker 2: look at that picture in that picture. But now I'm 573 00:30:28,400 --> 00:30:30,040 Speaker 2: working on the caves and I get a whole phone 574 00:30:30,120 --> 00:30:32,480 Speaker 2: full of calf pictures, which if I get in a 575 00:30:32,520 --> 00:30:34,360 Speaker 2: car wreck and then somebody gets into my phone's gonna 576 00:30:34,360 --> 00:30:36,120 Speaker 2: look pretty odd, like what the hell some sort of 577 00:30:36,160 --> 00:30:42,560 Speaker 2: serial killer? That was something I don't know? Whatever? Yeah, yeah, no, kidding, 578 00:30:42,720 --> 00:30:48,080 Speaker 2: Kaflar enough. So it's the end of a quarter calendar wise, 579 00:30:48,280 --> 00:30:51,800 Speaker 2: and a bunch of economic numbers came out today and 580 00:30:51,880 --> 00:30:54,360 Speaker 2: they're mostly good, but some of them not. And we'll 581 00:30:54,440 --> 00:30:56,040 Speaker 2: take a look at that among other things on the way. 582 00:30:56,080 --> 00:30:58,760 Speaker 2: Stay here strong Yet. 583 00:31:00,440 --> 00:31:03,240 Speaker 3: A woman was banned from flying Spirit Airlines this week 584 00:31:03,280 --> 00:31:06,160 Speaker 3: after she was asked in to plane due to disruptive 585 00:31:06,200 --> 00:31:09,960 Speaker 3: behavior and allegedly resisted arrest by quote, kicking and flailing 586 00:31:10,000 --> 00:31:13,360 Speaker 3: her arms in an attempt to not be handcuffed. Spirit 587 00:31:13,400 --> 00:31:16,040 Speaker 3: then apologized to passengers and promise to find a new 588 00:31:16,040 --> 00:31:17,360 Speaker 3: pilot as soon as possible. 589 00:31:21,280 --> 00:31:24,160 Speaker 2: So last night Trump announced I think sixty eight new 590 00:31:24,240 --> 00:31:28,480 Speaker 2: tariffs of varieties of levels. That's a lot, and said 591 00:31:28,480 --> 00:31:33,920 Speaker 2: this about Canada. They have to pay a fair right. 592 00:31:34,200 --> 00:31:36,680 Speaker 2: It's all. It's very simple. They've been treating our country 593 00:31:36,760 --> 00:31:37,760 Speaker 2: very badly for years. 594 00:31:38,560 --> 00:31:42,320 Speaker 8: And look, we like Canada, I love Canada, I have 595 00:31:42,360 --> 00:31:43,640 Speaker 8: so many friends in Canada. 596 00:31:44,440 --> 00:31:47,640 Speaker 2: But they've been very poorly led. They've been very very 597 00:31:47,640 --> 00:31:51,640 Speaker 2: poorly led. And all we want is fairness for our country. 598 00:31:52,200 --> 00:31:54,200 Speaker 2: So a lot of talk of fairness. Then there was 599 00:31:54,280 --> 00:31:56,800 Speaker 2: anger earlier in the day that they were going to 600 00:31:58,040 --> 00:32:00,880 Speaker 2: recognize Palestine as a state. And then at the end 601 00:32:00,920 --> 00:32:02,320 Speaker 2: of the day when he hit him with the thirty 602 00:32:02,320 --> 00:32:05,400 Speaker 2: five percent tariff that starts today, he had to use 603 00:32:05,440 --> 00:32:07,720 Speaker 2: the excuse of fentanyl because that's the only way it 604 00:32:07,720 --> 00:32:12,120 Speaker 2: fits into the whole Emergency Act thing. But so you 605 00:32:12,160 --> 00:32:15,720 Speaker 2: got that weirdness there. So did that the sixty eight 606 00:32:15,760 --> 00:32:18,240 Speaker 2: new tariffs cause the stock market to drop this morning? 607 00:32:18,400 --> 00:32:20,680 Speaker 2: Or is it because of the labor market news that 608 00:32:20,760 --> 00:32:24,080 Speaker 2: came out The labor market was worse than previously thought, 609 00:32:24,440 --> 00:32:27,719 Speaker 2: so low number for the most recent month, and then 610 00:32:27,760 --> 00:32:31,720 Speaker 2: they downgraded the previous two months. So the US created 611 00:32:31,720 --> 00:32:33,760 Speaker 2: about one hundred and six thousand jobs in the past 612 00:32:33,840 --> 00:32:36,320 Speaker 2: three months. That's the weakest pace of growth since the 613 00:32:36,360 --> 00:32:40,880 Speaker 2: onset of the twenty twenty pandemic. Who knows, economies are complicated, 614 00:32:41,320 --> 00:32:47,440 Speaker 2: What all's involved in that seasonal tariffs? Who freaking knows, 615 00:32:49,240 --> 00:32:53,680 Speaker 2: But there is that number. It's true that when this 616 00:32:53,880 --> 00:32:56,520 Speaker 2: tariff talk started, there was a lot of prediction of 617 00:32:58,560 --> 00:33:02,080 Speaker 2: horror and recession and all kinds of different things. And 618 00:33:02,120 --> 00:33:04,640 Speaker 2: remember people were talking ninety percent chance of recession and 619 00:33:04,680 --> 00:33:08,000 Speaker 2: different things. So here we are after a quarter about 620 00:33:08,040 --> 00:33:11,080 Speaker 2: that recession is the segment they did on Fox this morning, 621 00:33:11,280 --> 00:33:13,680 Speaker 2: And we're talking S and P five hundred companies, So 622 00:33:13,720 --> 00:33:15,960 Speaker 2: we don't anger Joe, who does not like talk of 623 00:33:16,000 --> 00:33:17,600 Speaker 2: the Dow Jones Industrial. 624 00:33:17,240 --> 00:33:20,840 Speaker 1: Average all put down my ball that I was wielding. 625 00:33:21,080 --> 00:33:24,960 Speaker 2: But companies in the S and P five hundred sixty 626 00:33:25,000 --> 00:33:28,400 Speaker 2: three percent, I'll go with the bigger number, which is better. 627 00:33:28,720 --> 00:33:32,800 Speaker 2: Eighty one percent beat earnings per share estimates, eighty one 628 00:33:32,840 --> 00:33:38,920 Speaker 2: percent beat their estimates for the quarter, seventy nine percent 629 00:33:38,960 --> 00:33:45,080 Speaker 2: beat revenue estimates, and that is not talk of recession. Now, 630 00:33:45,200 --> 00:33:47,560 Speaker 2: you made the point earlier which has got to be 631 00:33:47,640 --> 00:33:52,440 Speaker 2: made that if you are quoting people's dire predictions from 632 00:33:52,560 --> 00:33:55,760 Speaker 2: liberation Day. That doesn't really make sense because he backed 633 00:33:55,760 --> 00:33:59,040 Speaker 2: off a liberation liberation day pretty quickly. A lot of 634 00:33:59,040 --> 00:34:02,800 Speaker 2: big tariffs are in today or going to next week, 635 00:34:03,880 --> 00:34:05,960 Speaker 2: but so we haven't seen the result of the tariffs 636 00:34:06,000 --> 00:34:07,280 Speaker 2: yet exactly. 637 00:34:07,320 --> 00:34:10,680 Speaker 1: And Trump would probably hear those employment numbers and say, well, yeah, 638 00:34:10,920 --> 00:34:14,400 Speaker 1: it's going to initially be a period of rough seas 639 00:34:15,560 --> 00:34:18,080 Speaker 1: until the tariffs are set up and everybody's used to them, 640 00:34:18,120 --> 00:34:20,640 Speaker 1: and we bring back American manufacturing and then you'll see 641 00:34:20,719 --> 00:34:23,080 Speaker 1: real job growth. Now, I don't happen to think he's 642 00:34:23,200 --> 00:34:25,120 Speaker 1: right on that, and I don't think the courts are 643 00:34:25,120 --> 00:34:27,759 Speaker 1: going to let this tariff thing go through, honestly, and 644 00:34:27,800 --> 00:34:30,960 Speaker 1: I don't think they should, which probably makes me unpopular 645 00:34:31,000 --> 00:34:34,200 Speaker 1: in Magaland. But it's not a crazy argument. I mean, 646 00:34:34,400 --> 00:34:36,920 Speaker 1: if he's right about everything, there will be a period 647 00:34:37,200 --> 00:34:37,840 Speaker 1: of disruption. 648 00:34:38,760 --> 00:34:40,799 Speaker 2: So that's enough of that. Anybody watched the number one 649 00:34:40,880 --> 00:34:42,920 Speaker 2: TV show in America last night. I don't know what 650 00:34:42,960 --> 00:34:45,360 Speaker 2: the ratings were for the first preseason game of the NFL, 651 00:34:45,360 --> 00:34:47,080 Speaker 2: but that is the number one TV show in America 652 00:34:47,120 --> 00:34:49,560 Speaker 2: of the NFL, and they broke out some new technology 653 00:34:49,640 --> 00:34:51,360 Speaker 2: for the first time that they're going to have this season. 654 00:34:51,560 --> 00:34:54,040 Speaker 2: There's no more running out onto the field with the 655 00:34:54,160 --> 00:34:57,280 Speaker 2: chains for a close one. Did they make the first 656 00:34:57,280 --> 00:34:59,640 Speaker 2: down or not? It's all virtual. They got the yellow 657 00:34:59,640 --> 00:35:01,959 Speaker 2: line up there that they now say is accurate enough 658 00:35:02,600 --> 00:35:04,720 Speaker 2: that they'll be able to tell from the yellow line 659 00:35:05,280 --> 00:35:07,239 Speaker 2: and the ball spot first down or not. They won't 660 00:35:07,280 --> 00:35:09,680 Speaker 2: run out with the chains, and there a couple of 661 00:35:09,719 --> 00:35:12,600 Speaker 2: times both coaches got angry last night and thought it 662 00:35:12,680 --> 00:35:14,799 Speaker 2: wasn't correct. But that's always going to be the case, 663 00:35:14,840 --> 00:35:17,440 Speaker 2: I suppose. Yeah, I kind of like the suspense of 664 00:35:17,520 --> 00:35:21,319 Speaker 2: the measurement. I think it's show busy. I agree, and 665 00:35:21,360 --> 00:35:24,719 Speaker 2: it and it is showbiz. That's the why, the the 666 00:35:24,960 --> 00:35:28,560 Speaker 2: the It is not really important to see which town 667 00:35:28,880 --> 00:35:32,960 Speaker 2: can produce the best football team. It's all about selling advertisers. 668 00:35:33,920 --> 00:35:36,279 Speaker 2: And it's a TV show. And yeah, I think the 669 00:35:36,320 --> 00:35:38,319 Speaker 2: TV shows better. With the refs running out there and 670 00:35:38,480 --> 00:35:40,440 Speaker 2: they stretch the chains, it looks like he's gonna be oh, 671 00:35:40,480 --> 00:35:42,960 Speaker 2: it's an inn short. And then the ref holds up 672 00:35:42,960 --> 00:35:48,319 Speaker 2: his hands two inches apart the whole crowd, and now 673 00:35:48,360 --> 00:35:51,320 Speaker 2: so the whole machines will tell us what is accurate, 674 00:35:51,600 --> 00:35:53,920 Speaker 2: and the crowd won't see the yellow line except for 675 00:35:54,000 --> 00:35:56,120 Speaker 2: up on the TV screen. I guess so, yeah, I don't, 676 00:35:56,160 --> 00:35:56,399 Speaker 2: I don't. 677 00:35:56,480 --> 00:35:59,359 Speaker 1: I agree. I like the old style. Better, probably show 678 00:35:59,400 --> 00:36:00,759 Speaker 1: it on the jump Botron. 679 00:36:01,280 --> 00:36:03,759 Speaker 2: Did the referee union decide they don't want to have 680 00:36:03,800 --> 00:36:05,120 Speaker 2: to run out on the field with the Chain's too 681 00:36:05,200 --> 00:36:08,200 Speaker 2: dangerous we could trip or something. I don't know. I 682 00:36:08,200 --> 00:36:08,520 Speaker 2: don't know. 683 00:36:08,600 --> 00:36:10,880 Speaker 1: Boy, you've got a Blockbuster Hour four to come. If 684 00:36:10,880 --> 00:36:12,799 Speaker 1: you don't get next hour, you got to go do something. 685 00:36:12,800 --> 00:36:15,959 Speaker 2: That's fine. Subscribe to our podcast, Armstrong and Getty on 686 00:36:16,120 --> 00:36:16,640 Speaker 2: demand 687 00:36:20,200 --> 00:36:21,400 Speaker 4: Armstrong and Getty