1 00:00:01,920 --> 00:00:05,720 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio and the 2 00:00:05,800 --> 00:00:10,280 Speaker 1: George Washington Broadcast Center. Jack arms Strong, Joe Getty. 3 00:00:10,240 --> 00:00:17,800 Speaker 2: Arm Strong, and Jack cady Hee arms Strong and Strong. 4 00:00:18,880 --> 00:00:22,680 Speaker 3: We are not long. We are still on vacation and yeah, 5 00:00:22,720 --> 00:00:25,119 Speaker 3: we're trying to recharge. We're trying to just everything ready 6 00:00:25,160 --> 00:00:27,480 Speaker 3: to go for a big NOOM twenty twenty six. 7 00:00:27,520 --> 00:00:29,720 Speaker 4: You know, I gotta get her name faces on. I'd 8 00:00:29,760 --> 00:00:32,280 Speaker 4: like to have a word with future Joe. You got 9 00:00:32,280 --> 00:00:34,360 Speaker 4: on the scale this morning. You said, oh my god, 10 00:00:34,479 --> 00:00:37,080 Speaker 4: what did you expect the way you've been eating on vacation. 11 00:00:37,320 --> 00:00:41,360 Speaker 2: What did you expect? Answer me, Well, enjoy and don't 12 00:00:41,400 --> 00:00:43,160 Speaker 2: worry about it. You can lose it in the new year. 13 00:00:43,400 --> 00:00:46,320 Speaker 4: Enjoy some fabulous Armstrong and Geddy replay. 14 00:00:47,159 --> 00:00:49,240 Speaker 3: So when I dropped my son off at Boy Scout 15 00:00:49,560 --> 00:00:52,080 Speaker 3: camp the other day at this lake, and they were 16 00:00:52,080 --> 00:00:54,280 Speaker 3: going to have to hike to their destinations, a couple 17 00:00:54,320 --> 00:00:56,480 Speaker 3: of mile hike. You have to take everything in with you, 18 00:00:56,560 --> 00:00:58,480 Speaker 3: so try to pack as lightly as possible. Blah blah 19 00:00:58,520 --> 00:01:01,200 Speaker 3: blah blah, drop them off or I load everybody up. 20 00:01:01,320 --> 00:01:05,280 Speaker 3: And this one kid brought a guitar and the Boy 21 00:01:05,319 --> 00:01:07,399 Speaker 3: Scout leader one of them said, you're sure you want 22 00:01:07,400 --> 00:01:09,160 Speaker 3: to carry that thing for a couple of miles. I said, yeah, yeah, 23 00:01:09,160 --> 00:01:10,240 Speaker 3: I really want to bring it. And you know, if 24 00:01:10,240 --> 00:01:12,679 Speaker 3: you've ever camped having a guitar around, if your guitar 25 00:01:12,720 --> 00:01:14,319 Speaker 3: player is really cool and you can sing songs, all 26 00:01:14,360 --> 00:01:17,520 Speaker 3: that sort of stuff. Anyway, we stopped for lunch. It's 27 00:01:17,520 --> 00:01:19,640 Speaker 3: a couple hour drive to this lake, and we stopped 28 00:01:19,640 --> 00:01:22,600 Speaker 3: for lunch at this little pullout and he gets his 29 00:01:22,720 --> 00:01:24,720 Speaker 3: guitar out and sets up a little thing, and he's 30 00:01:24,760 --> 00:01:26,560 Speaker 3: like thirteen years old, and he sets up a little 31 00:01:26,600 --> 00:01:27,840 Speaker 3: chair and he's sitting there on a log and he 32 00:01:27,880 --> 00:01:31,480 Speaker 3: starts in playing. And if I would have bet you 33 00:01:31,600 --> 00:01:35,360 Speaker 3: ten thousand dollars one hundred thousand million dollars, that wasn't 34 00:01:35,400 --> 00:01:36,840 Speaker 3: gonna hear what came out of his mouth as a 35 00:01:36,840 --> 00:01:38,720 Speaker 3: thirteen year old boy, Because I'm just wondering, you know, 36 00:01:38,720 --> 00:01:40,840 Speaker 3: what's a thirteen year old boy gonna play. He sits 37 00:01:40,840 --> 00:01:43,040 Speaker 3: down with his guitar. First of all, he's got an 38 00:01:43,080 --> 00:01:46,480 Speaker 3: incredibly low voice, and he says, I met her accidentally 39 00:01:46,520 --> 00:01:50,360 Speaker 3: in Saint Paul, Minnesota. He launches into a Johnny Cash song. 40 00:01:50,440 --> 00:01:55,320 Speaker 3: Immediately I'm like, what what me and one of the 41 00:01:55,360 --> 00:01:58,640 Speaker 3: other leaders was like unbelievable. I would have never guessed 42 00:01:58,680 --> 00:02:00,000 Speaker 3: that this was what was gonna happen. 43 00:02:00,800 --> 00:02:04,640 Speaker 2: Huh. He did several Johnny Cash songs and then put 44 00:02:04,680 --> 00:02:07,520 Speaker 2: his guitar away. I'll be danged, I know. 45 00:02:07,960 --> 00:02:10,440 Speaker 3: And he played better than me, which is highly disappointing. 46 00:02:10,600 --> 00:02:13,000 Speaker 2: Oh, that's so annoying, very very annoying. 47 00:02:14,480 --> 00:02:17,160 Speaker 3: You might be annoyed if you're really into the whole 48 00:02:19,320 --> 00:02:23,600 Speaker 3: pedo ring story. That is the reason a chunk of 49 00:02:23,639 --> 00:02:26,360 Speaker 3: you voted for Donald Trump. Some of you don't even 50 00:02:26,360 --> 00:02:29,360 Speaker 3: know what I'm talking about, because I only know because 51 00:02:29,360 --> 00:02:31,680 Speaker 3: I happen to know a couple of people that are 52 00:02:31,720 --> 00:02:34,639 Speaker 3: really into this story. Their big thing was, I mean, 53 00:02:34,680 --> 00:02:38,080 Speaker 3: they were all tweeting and texting each other leading up 54 00:02:38,120 --> 00:02:43,360 Speaker 3: to election day and Inauguration day. Finally it comes to 55 00:02:43,400 --> 00:02:46,519 Speaker 3: an end. They're all going to be exposed. The Clintons, 56 00:02:46,680 --> 00:02:51,080 Speaker 3: the Hollywood types, everybody who's been trafficking all these children 57 00:02:51,120 --> 00:02:54,000 Speaker 3: for sex all these years are going to get nailed 58 00:02:54,000 --> 00:02:55,919 Speaker 3: to the wall. And it's all tied in with Epstein 59 00:02:56,480 --> 00:02:59,000 Speaker 3: and he's a massad agent in blackmail and all these 60 00:02:59,000 --> 00:02:59,960 Speaker 3: different sorts of things. 61 00:03:00,320 --> 00:03:02,520 Speaker 2: Right, it's a form of the Q and HO are 62 00:03:02,560 --> 00:03:03,839 Speaker 2: more like the Pizzagate. 63 00:03:03,960 --> 00:03:06,840 Speaker 4: Things just evolving, continuing to evolve, because that's the nature 64 00:03:06,840 --> 00:03:07,400 Speaker 4: of these things. 65 00:03:07,600 --> 00:03:09,560 Speaker 3: And you might be disappointed if you're in that crowd 66 00:03:09,560 --> 00:03:12,200 Speaker 3: that Trump has come out so hardcore against you today 67 00:03:12,880 --> 00:03:16,160 Speaker 3: with truth social posts and a couple of different on 68 00:03:16,400 --> 00:03:20,040 Speaker 3: Mike things denouncing you and saying he doesn't need your 69 00:03:20,120 --> 00:03:22,880 Speaker 3: vote anymore. Here's the very latest from the Oval office. 70 00:03:23,080 --> 00:03:25,080 Speaker 2: He said this was all a hoax. Has your attorney 71 00:03:25,160 --> 00:03:27,360 Speaker 2: Jediate told you this was a hoax? What evidence? 72 00:03:27,760 --> 00:03:28,919 Speaker 5: It's not the Attorney General? 73 00:03:29,000 --> 00:03:29,320 Speaker 4: No, I know. 74 00:03:29,360 --> 00:03:32,679 Speaker 5: It's a hoax. It's started by Democrats. It's been run 75 00:03:32,720 --> 00:03:35,800 Speaker 5: by the Democrats for four years. You had Christopher Ray 76 00:03:35,840 --> 00:03:40,200 Speaker 5: and these characters and koll me beforhim, and it's a 77 00:03:40,240 --> 00:03:40,760 Speaker 5: bad group. 78 00:03:40,880 --> 00:03:41,400 Speaker 2: It started. 79 00:03:41,600 --> 00:03:43,920 Speaker 5: Actually, look at the Steele dossier that turned out to 80 00:03:43,920 --> 00:03:47,360 Speaker 5: be a total hoax. The fifty one agency intelligence so 81 00:03:47,480 --> 00:03:51,280 Speaker 5: called intelligence agents, that was a hoax. There's only a 82 00:03:51,280 --> 00:03:55,160 Speaker 5: big hoax. It's perpetrated by the Democrats, and some stupid 83 00:03:55,200 --> 00:03:59,080 Speaker 5: Republicans and foolish Republicans fall into the net and so 84 00:03:59,200 --> 00:04:01,280 Speaker 5: they try and do the Democrats work. 85 00:04:01,800 --> 00:04:03,240 Speaker 2: I call it the Epstein hooks. 86 00:04:03,680 --> 00:04:08,400 Speaker 5: The sad part is it's people that are really doing 87 00:04:08,440 --> 00:04:10,880 Speaker 5: the democrats work, the stupid people. 88 00:04:11,240 --> 00:04:19,200 Speaker 3: Wow, the most energetic Trump supporters I know would be 89 00:04:19,320 --> 00:04:22,279 Speaker 3: that group of stupid Republicans that fell into the net 90 00:04:22,320 --> 00:04:24,800 Speaker 3: doing the work of the Democrats he just talked about, 91 00:04:25,200 --> 00:04:28,760 Speaker 3: because they believe that story that your Attorney general and 92 00:04:28,960 --> 00:04:32,560 Speaker 3: FBI director and others were pushing for quite some time. 93 00:04:32,760 --> 00:04:36,000 Speaker 3: It wasn't democrats. I don't remember Democrats ever pushing this 94 00:04:36,760 --> 00:04:38,000 Speaker 3: child sex ring thing. 95 00:04:38,760 --> 00:04:41,320 Speaker 4: No, when they're now doing the work of the Democrats 96 00:04:41,360 --> 00:04:49,360 Speaker 4: by undermining the Trump administration, saying, right, but how. 97 00:04:49,279 --> 00:04:51,240 Speaker 3: Does it tie in with Komi and russiagat and all 98 00:04:51,240 --> 00:04:53,880 Speaker 3: that sort of stuff, Well, it doesn't. 99 00:04:53,920 --> 00:04:58,880 Speaker 4: That's not a great comparison. I mean, they're both false 100 00:05:00,880 --> 00:05:04,800 Speaker 4: and both you know, had just enough tidbit of evidence here, 101 00:05:04,880 --> 00:05:07,320 Speaker 4: evidence there that you could spin the yarn if your 102 00:05:07,400 --> 00:05:11,240 Speaker 4: James call me that, Yes, Trump is a secret Russian stooge. 103 00:05:11,600 --> 00:05:19,240 Speaker 3: So you hear the phrase in politics sometimes about when 104 00:05:19,279 --> 00:05:26,560 Speaker 3: Bill Clinton denounced a rapper that kind of went against 105 00:05:26,600 --> 00:05:31,719 Speaker 3: his own party, sister soldier moment. People call about it, 106 00:05:30,880 --> 00:05:34,760 Speaker 3: and it helped him bring people into support him from 107 00:05:34,800 --> 00:05:35,520 Speaker 3: the other side. 108 00:05:36,720 --> 00:05:39,479 Speaker 2: This is like, well he was. He was proving I'm not. 109 00:05:39,920 --> 00:05:43,520 Speaker 4: Look, I'm left, but I'm not way out there right, Yeah, exactly, Yeah, 110 00:05:43,560 --> 00:05:46,680 Speaker 4: I'm willing to denounce the crazies in my party. 111 00:05:46,920 --> 00:05:48,960 Speaker 3: Is this Trump's Sister Soldier moment? 112 00:05:51,800 --> 00:05:52,839 Speaker 2: Yeah, except that. 113 00:05:54,279 --> 00:05:58,360 Speaker 4: The Epstein thing is so under the radar of the vast, 114 00:05:58,520 --> 00:06:03,200 Speaker 4: vast majority of people, whereas like rap and violent imagery 115 00:06:03,240 --> 00:06:06,120 Speaker 4: and anti American imagery, and in the case of Sister Soldier, 116 00:06:06,160 --> 00:06:09,120 Speaker 4: I think it was anti cop imagery. 117 00:06:09,279 --> 00:06:11,719 Speaker 2: That's everybody's aware of that. That's like a hot top. 118 00:06:11,880 --> 00:06:14,600 Speaker 3: This is so I mean, he's denouncing them so strongly. 119 00:06:14,640 --> 00:06:17,880 Speaker 3: It would be like, if, you know, assuming Biden wasn't 120 00:06:18,520 --> 00:06:23,200 Speaker 3: a mental patient, if Biden had come out and said, look, 121 00:06:23,400 --> 00:06:27,840 Speaker 3: these college students. 122 00:06:26,040 --> 00:06:32,040 Speaker 4: Marginal reminder, Kamala was the actual candidate, so yous Kamala. 123 00:06:32,600 --> 00:06:36,080 Speaker 3: Okay, if Kamala had come out and said, these college 124 00:06:36,080 --> 00:06:40,520 Speaker 3: students are crazy, They've fallen for a hoax that Israel 125 00:06:41,080 --> 00:06:45,919 Speaker 3: is perpetuating a genocide, I don't want their support. They're nuts. 126 00:06:47,080 --> 00:06:51,279 Speaker 3: I mean, it's that level of your biggest supporter, the 127 00:06:51,320 --> 00:06:55,159 Speaker 3: biggest supporters, you're calling crazies, your. 128 00:06:54,960 --> 00:06:56,480 Speaker 2: Most passionate supporters. 129 00:06:56,120 --> 00:07:03,599 Speaker 4: Yeah, wow, yeah, yeah, it's uh notable. And you know 130 00:07:03,640 --> 00:07:07,080 Speaker 4: what's funny is I think the criticism of Pambondi and 131 00:07:07,120 --> 00:07:12,440 Speaker 4: cash Betellent Company is legitimate. Having led people way down 132 00:07:12,440 --> 00:07:15,200 Speaker 4: the garden path of the idea that there's something here 133 00:07:15,240 --> 00:07:17,480 Speaker 4: and we're getting to the bottom of it, just to 134 00:07:17,520 --> 00:07:19,720 Speaker 4: exploit them and keep them listening and watching them whatever, 135 00:07:20,520 --> 00:07:24,080 Speaker 4: and then just saying I've looked at the violin, there's 136 00:07:24,120 --> 00:07:26,360 Speaker 4: nothing there, so we're fine here, we're done, and thinking 137 00:07:26,400 --> 00:07:27,679 Speaker 4: that's gonna be good enough. 138 00:07:27,960 --> 00:07:28,880 Speaker 2: It's just dumb. 139 00:07:28,920 --> 00:07:32,560 Speaker 4: You don't understand how the way human beings behave you 140 00:07:32,680 --> 00:07:36,200 Speaker 4: needed to do better than that and explain why having 141 00:07:36,240 --> 00:07:38,200 Speaker 4: promoted the idea for the longest time, or in the 142 00:07:38,200 --> 00:07:42,120 Speaker 4: case of Pambondy freaking specifically said you had the client 143 00:07:42,160 --> 00:07:43,080 Speaker 4: list on your. 144 00:07:42,960 --> 00:07:45,160 Speaker 2: Desk, now you gotta do better. 145 00:07:45,320 --> 00:07:47,080 Speaker 3: Do you think she needs to step down or will 146 00:07:48,160 --> 00:07:49,080 Speaker 3: a lot of people say that. 147 00:07:50,120 --> 00:07:51,560 Speaker 2: I don't know. It's so hard to say. 148 00:07:51,600 --> 00:07:56,520 Speaker 4: Within Trump world, it's entirely possible. Yeah, but anyway, I 149 00:07:56,600 --> 00:08:03,920 Speaker 4: was working toward a point. Oh, that's absolutely. I think 150 00:08:03,920 --> 00:08:06,360 Speaker 4: they mishandled it. They had to do better. On the 151 00:08:06,400 --> 00:08:09,720 Speaker 4: other hand, I have no idea why Donald J would 152 00:08:09,760 --> 00:08:14,679 Speaker 4: be so harsh. He doesn't need a sister soldier. Moment 153 00:08:14,800 --> 00:08:20,840 Speaker 4: he's in office, he can't run again. He's just doesn't 154 00:08:20,880 --> 00:08:23,760 Speaker 4: care who he hurts and bruises with his words. 155 00:08:23,960 --> 00:08:25,800 Speaker 3: It seems to me like he would have been better 156 00:08:25,880 --> 00:08:28,280 Speaker 3: off if he went with Look, I wasn't paying attention 157 00:08:28,360 --> 00:08:32,080 Speaker 3: to the Epstein thing, really, you know, throw Bondie and 158 00:08:32,080 --> 00:08:34,240 Speaker 3: patell or whoever you want under the bus. You know, 159 00:08:34,280 --> 00:08:37,000 Speaker 3: they were pushing this. I heard what they said and 160 00:08:37,000 --> 00:08:38,880 Speaker 3: I thought, wow, that's interesting, but I wasn't really paying 161 00:08:38,880 --> 00:08:42,200 Speaker 3: attention to it. It turns out there's nothing to it. Yeah, 162 00:08:42,240 --> 00:08:46,520 Speaker 3: they probably went too far, folks. And now they've seen 163 00:08:46,520 --> 00:08:50,120 Speaker 3: the actual facts and they realized there was really nothing there. 164 00:08:50,920 --> 00:08:53,920 Speaker 3: So they you know, they owe you an apology, right, 165 00:08:54,000 --> 00:08:56,320 Speaker 3: being as enthusiastic as they were. 166 00:08:56,559 --> 00:08:58,559 Speaker 2: Well, they didn't have the facts go with. 167 00:08:58,720 --> 00:09:01,160 Speaker 3: They owe you know, apologies opposed to you're crazy and 168 00:09:01,160 --> 00:09:02,600 Speaker 3: I don't want your support anymore. 169 00:09:03,000 --> 00:09:07,280 Speaker 4: And stupid stupid crazy is one thing, stupid is another. 170 00:09:07,400 --> 00:09:10,880 Speaker 4: You hate to be both. Yeah, it's it's just it's 171 00:09:10,960 --> 00:09:14,960 Speaker 4: bad politics. But nah, you can do whatever he wants. 172 00:09:15,320 --> 00:09:16,360 Speaker 4: That much is clear. 173 00:09:16,679 --> 00:09:18,320 Speaker 2: Okay, Well that's that story. 174 00:09:19,840 --> 00:09:22,160 Speaker 3: You're thinking this is over that dang story. 175 00:09:22,640 --> 00:09:29,160 Speaker 4: Yeah, I'm just interested in watching humans and just the psychological, 176 00:09:29,440 --> 00:09:32,120 Speaker 4: social political aspects of this. 177 00:09:32,200 --> 00:09:32,520 Speaker 3: I don't. 178 00:09:33,520 --> 00:09:33,880 Speaker 2: I don't. 179 00:09:34,480 --> 00:09:38,720 Speaker 4: I have no interest in the story itself, really because 180 00:09:38,760 --> 00:09:40,720 Speaker 4: I've I've learned everything I need to learn. 181 00:09:40,760 --> 00:09:44,800 Speaker 2: I think about it. But right People Behave is so interesting. 182 00:09:44,840 --> 00:09:46,719 Speaker 3: It's exactly what I thought it was. I assumed all 183 00:09:46,720 --> 00:09:49,680 Speaker 3: along they were saying this to get ratings and or 184 00:09:50,120 --> 00:09:54,120 Speaker 3: get votes, and there was nothing to it but change 185 00:09:54,120 --> 00:09:55,840 Speaker 3: a topic. I just want to get this story on. 186 00:09:55,920 --> 00:09:59,400 Speaker 3: It's a story about China and what they're doing around AI, 187 00:09:59,600 --> 00:10:02,160 Speaker 3: and now Trump gave the go ahead from Nvidio to 188 00:10:02,200 --> 00:10:05,160 Speaker 3: continue to sell the very best AI chips to China. 189 00:10:06,400 --> 00:10:08,440 Speaker 3: I'm not exactually sure what that's all about. I haven't 190 00:10:08,440 --> 00:10:12,199 Speaker 3: looked into it. But Chinese government they're working on AI too, 191 00:10:12,280 --> 00:10:12,720 Speaker 3: let's hear it. 192 00:10:13,120 --> 00:10:16,360 Speaker 6: This whole robotic push comes at a time when the 193 00:10:16,480 --> 00:10:23,360 Speaker 6: Chinese government is making technology, including AI, a national priority. Already, 194 00:10:23,480 --> 00:10:27,280 Speaker 6: China's proven innovator, as we've seen with evs. Now it's 195 00:10:27,320 --> 00:10:30,880 Speaker 6: looking to dominate the field of AI enabled robots, and 196 00:10:30,920 --> 00:10:33,119 Speaker 6: the gap with the US is widening. 197 00:10:33,320 --> 00:10:35,280 Speaker 3: According to Morgan Stanley, research. 198 00:10:35,679 --> 00:10:40,200 Speaker 7: China is really pushing the envelope in all things leading 199 00:10:40,280 --> 00:10:45,800 Speaker 7: edge technology, and there are so many practical and also 200 00:10:45,920 --> 00:10:51,319 Speaker 7: strategic applications of AI and robotics combined. 201 00:10:51,440 --> 00:10:53,840 Speaker 3: Now, you said you saw the video of the Chinese 202 00:10:54,679 --> 00:10:56,280 Speaker 3: robot soldiers, and it was. 203 00:10:57,800 --> 00:11:01,240 Speaker 4: It was not Chinese, it was they were are they're 204 00:11:01,440 --> 00:11:02,920 Speaker 4: the good guy soldier. 205 00:11:02,679 --> 00:11:04,600 Speaker 3: All clots, but they're pretty impressive. 206 00:11:05,120 --> 00:11:07,319 Speaker 2: Oh, it's just crazy impressive. 207 00:11:07,360 --> 00:11:07,840 Speaker 3: That's funny. 208 00:11:07,840 --> 00:11:10,560 Speaker 2: There will be a human being on a battlefield in 209 00:11:10,920 --> 00:11:11,560 Speaker 2: ten years. 210 00:11:11,760 --> 00:11:16,679 Speaker 3: On CNN, I saw a thing about China's particular robot armies, 211 00:11:16,800 --> 00:11:20,439 Speaker 3: robot dogs, robot soldiers, robot they're actually they're presenting it 212 00:11:20,520 --> 00:11:23,360 Speaker 3: all as robot athletes, which is pretty clever. Yeah, we 213 00:11:23,440 --> 00:11:25,400 Speaker 3: just want to have the best robot athletes out there. 214 00:11:25,440 --> 00:11:27,480 Speaker 3: They're really strong and fast and could jump high and 215 00:11:27,559 --> 00:11:30,400 Speaker 3: run fast and have guns, and then we'll have guns 216 00:11:30,400 --> 00:11:33,120 Speaker 3: and they'll go from being athletes to being very athletic soldiers. 217 00:11:33,520 --> 00:11:37,280 Speaker 3: But they were damned impressive, and it reminded me of 218 00:11:37,360 --> 00:11:39,480 Speaker 3: and I keep mentioning this book, but I'm reading this 219 00:11:39,559 --> 00:11:41,360 Speaker 3: listening to this book about the end of World War 220 00:11:41,400 --> 00:11:45,880 Speaker 3: two in the Pacific. We were just dominating the Japanese 221 00:11:46,280 --> 00:11:49,400 Speaker 3: in that last year of the war before we finally won, 222 00:11:49,840 --> 00:11:53,280 Speaker 3: because we just had better technology. Our technology was so 223 00:11:53,440 --> 00:11:57,680 Speaker 3: much better than what they had. We're just literally blowing 224 00:11:57,679 --> 00:11:59,760 Speaker 3: them out of the water. But they couldn't. Our planes 225 00:11:59,800 --> 00:12:03,080 Speaker 3: could fly circles around their planes. Our intelligence was so 226 00:12:03,200 --> 00:12:06,160 Speaker 3: much better, our radars ability to reach out further than 227 00:12:06,200 --> 00:12:08,440 Speaker 3: they could. They wouldn't know where our fleet was, and 228 00:12:08,480 --> 00:12:10,000 Speaker 3: we'd show up because they knew where they were, and. 229 00:12:10,000 --> 00:12:11,319 Speaker 2: Blah blah blah, blah blah blah. 230 00:12:11,480 --> 00:12:14,439 Speaker 3: That's how you win. I mean, you can care about 231 00:12:14,440 --> 00:12:16,560 Speaker 3: your country and be a patriot and that that matters. 232 00:12:16,600 --> 00:12:19,679 Speaker 3: See Ukraine. But the main reason Ukraine's doing so well 233 00:12:19,760 --> 00:12:23,560 Speaker 3: is their innovation and their their technology. And if China 234 00:12:23,679 --> 00:12:25,800 Speaker 3: ends up, you know, with way ahead of us, like 235 00:12:25,840 --> 00:12:28,959 Speaker 3: this person suggested an Ai, that's going to be a problem. 236 00:12:29,280 --> 00:12:32,200 Speaker 3: We defeated the Japanese so soundly, not because we're a 237 00:12:32,240 --> 00:12:34,440 Speaker 3: better well, it is because we're a better sent but 238 00:12:34,520 --> 00:12:38,360 Speaker 3: not because we're better people or more honorable or ethical. 239 00:12:38,440 --> 00:12:41,160 Speaker 3: It's because we we had the better technology to win 240 00:12:41,160 --> 00:12:44,600 Speaker 3: the war, right right, And I hope China doesn't have 241 00:12:44,640 --> 00:12:46,000 Speaker 3: that that report man, it. 242 00:12:46,040 --> 00:12:49,720 Speaker 4: Sound like they do, right, Sometimes you just have the 243 00:12:49,800 --> 00:12:53,440 Speaker 4: edge temporarily. But yeah, yeah, plenty of awful regimes have 244 00:12:53,520 --> 00:12:56,960 Speaker 4: gotten over because they had better war making tools. Yeah, 245 00:12:57,000 --> 00:12:59,200 Speaker 4: we need to at least be fighting them to a 246 00:12:59,280 --> 00:13:01,360 Speaker 4: draw in the AA stuff. I mean, it is so 247 00:13:02,120 --> 00:13:04,840 Speaker 4: obviously the future of warfare it seems silly to. 248 00:13:04,840 --> 00:13:06,000 Speaker 2: Even pointed out anymore. 249 00:13:06,040 --> 00:13:10,160 Speaker 4: But you're gonna have unmanned aerial vehicles, unmanned aquatic vehicles, 250 00:13:10,520 --> 00:13:15,760 Speaker 4: unmanned men in the field, just and practically nothing but that. 251 00:13:16,120 --> 00:13:18,840 Speaker 4: It relates directly that farm story I was excited to 252 00:13:19,240 --> 00:13:21,480 Speaker 4: get into. Maybe we can do it tomorrow. But there's 253 00:13:21,520 --> 00:13:24,560 Speaker 4: not gonna be a damn person in your local farm field, 254 00:13:24,840 --> 00:13:27,480 Speaker 4: never mind dozens and dozens of people who oddly have 255 00:13:27,600 --> 00:13:31,400 Speaker 4: no immigration paperwork. Please, that's gonna be as yesterday's ville. 256 00:13:31,800 --> 00:13:34,000 Speaker 4: As as I said earlier, importing a bunch of Chinese 257 00:13:34,000 --> 00:13:37,359 Speaker 4: people to build the railroad, it'll be a historical curiosity. 258 00:13:37,520 --> 00:13:41,080 Speaker 3: And soon, well, if you had a bunch of column 259 00:13:41,120 --> 00:13:44,520 Speaker 3: Ai soldiers robot soldiers, but they're various kinds of drones 260 00:13:44,559 --> 00:13:47,520 Speaker 3: early I suppose, and then you get a big battle 261 00:13:47,520 --> 00:13:49,559 Speaker 3: and the true drone armies meet, and then some of 262 00:13:49,600 --> 00:13:51,160 Speaker 3: them are hearing some on the ground. Some of them 263 00:13:51,160 --> 00:13:53,120 Speaker 3: look like dogs, some look like people, some of them 264 00:13:53,160 --> 00:13:54,880 Speaker 3: look like a half a tank or whatever. And then 265 00:13:54,920 --> 00:13:56,480 Speaker 3: they meet and then they have a battle. What do 266 00:13:56,520 --> 00:13:58,040 Speaker 3: we all just watch the video at the end say 267 00:13:58,120 --> 00:13:59,640 Speaker 3: huh we won or how we lost? 268 00:14:00,640 --> 00:14:04,679 Speaker 4: And then it boils down to manufacturing capability. 269 00:14:05,840 --> 00:14:06,600 Speaker 2: Against China? 270 00:14:06,760 --> 00:14:09,880 Speaker 3: What like their army beats your army and then they say, 271 00:14:09,880 --> 00:14:12,120 Speaker 3: so do you want to super peace or what? 272 00:14:12,400 --> 00:14:13,760 Speaker 2: Because we just defeated your army. 273 00:14:14,400 --> 00:14:16,360 Speaker 4: Well, once we defeat all your machines, we're going to 274 00:14:16,440 --> 00:14:19,800 Speaker 4: come for your humans. So you got to just smash 275 00:14:19,880 --> 00:14:22,560 Speaker 4: up machines until everybody runs out of them, or one 276 00:14:22,600 --> 00:14:23,920 Speaker 4: side or the other runs out of them. 277 00:14:23,960 --> 00:14:25,640 Speaker 2: Then we say, all right, we're coming for your people. 278 00:14:25,720 --> 00:14:28,440 Speaker 4: Next you say, all right, all right, uncle, we can't 279 00:14:28,480 --> 00:14:30,360 Speaker 4: manufacture fast enough to keep up with you. 280 00:14:30,560 --> 00:14:32,200 Speaker 2: Wow, that'll be something to watch. 281 00:14:33,360 --> 00:14:37,760 Speaker 1: Jack Armstrong and Joe Armstrong and Daddy show. 282 00:14:41,360 --> 00:14:47,800 Speaker 8: A guy named dubbed the Sperminator is decided to hang 283 00:14:47,880 --> 00:14:51,480 Speaker 8: up his testicles after he's turning fifty. 284 00:14:52,000 --> 00:14:54,040 Speaker 3: You don't know this guy. You're wrinkling your eyes there 285 00:14:54,080 --> 00:14:55,200 Speaker 3: as a katie. 286 00:14:55,800 --> 00:14:56,760 Speaker 2: My eyes at a lot of things. 287 00:14:57,200 --> 00:14:57,760 Speaker 3: Story down. 288 00:14:58,040 --> 00:15:02,040 Speaker 4: Yeah, I'm I'm taking a wait and see a posture 289 00:15:02,080 --> 00:15:02,800 Speaker 4: on this side. 290 00:15:02,920 --> 00:15:05,360 Speaker 3: He was dubbed the Sperminator by the New York Post 291 00:15:05,400 --> 00:15:10,600 Speaker 3: due to his prolific sperm donations. He after more than 292 00:15:10,680 --> 00:15:17,240 Speaker 3: seventeen years of donating his swimmers to complete strangers and 293 00:15:17,320 --> 00:15:23,239 Speaker 3: generating one hundred and eighty one kids across five continents, 294 00:15:23,680 --> 00:15:26,440 Speaker 3: he's finally retiring. For some reason. He's a math professor 295 00:15:26,440 --> 00:15:30,120 Speaker 3: from New York. I think that makes you an incredible weirdo. 296 00:15:30,400 --> 00:15:36,480 Speaker 3: But you know people need that. So I suppose you 297 00:15:36,640 --> 00:15:40,080 Speaker 3: being the guy who shows up like every other day 298 00:15:40,120 --> 00:15:42,080 Speaker 3: with a sample for some weird reason. 299 00:15:42,800 --> 00:15:46,200 Speaker 4: Well, no, there's demand for him. Is probably a tall, 300 00:15:46,280 --> 00:15:47,360 Speaker 4: good looking math. 301 00:15:47,160 --> 00:15:49,160 Speaker 2: Professor, right, Yeah, that's part of it. 302 00:15:49,240 --> 00:15:55,960 Speaker 4: Yes, the industry that says to him, you know, see 303 00:15:56,000 --> 00:15:57,920 Speaker 4: you Monday. You know we're going to need more for 304 00:15:58,000 --> 00:16:01,080 Speaker 4: more moms around the world old or are looking for tall, 305 00:16:01,160 --> 00:16:03,040 Speaker 4: good looking kids who are good at math. 306 00:16:03,600 --> 00:16:06,560 Speaker 3: The whole things. But then they and I know there 307 00:16:06,640 --> 00:16:08,960 Speaker 3: is a need for that and all that sort of thing. 308 00:16:08,960 --> 00:16:11,000 Speaker 3: But the idea that I got one hundred and eighty 309 00:16:11,040 --> 00:16:13,560 Speaker 3: one kids out there that are not going to have 310 00:16:13,760 --> 00:16:17,480 Speaker 3: any of my parenting or any stories about my dad 311 00:16:17,480 --> 00:16:21,400 Speaker 3: and mom or just none of the you know, none 312 00:16:21,440 --> 00:16:21,680 Speaker 3: of that. 313 00:16:21,800 --> 00:16:23,480 Speaker 2: I just I think that's I hate that. 314 00:16:24,400 --> 00:16:25,600 Speaker 3: So are you against. 315 00:16:25,360 --> 00:16:26,880 Speaker 2: Sperm donation in general? 316 00:16:27,040 --> 00:16:28,280 Speaker 3: No, I don't know that. 317 00:16:28,320 --> 00:16:31,760 Speaker 4: I mean because if I had one kid out there 318 00:16:32,360 --> 00:16:36,800 Speaker 4: answering the description you just gave, that's a tragedy. Although 319 00:16:36,840 --> 00:16:40,840 Speaker 4: I know people who do have that information about the 320 00:16:40,880 --> 00:16:45,680 Speaker 4: sperm donator. When it's you know, a person who do 321 00:16:46,120 --> 00:16:48,120 Speaker 4: you know pass along that information or allow them to 322 00:16:48,160 --> 00:16:50,080 Speaker 4: get in contact, You're not going to get in contact. 323 00:16:50,320 --> 00:16:51,840 Speaker 4: Is he going to get in contact with one hundred 324 00:16:51,840 --> 00:16:53,000 Speaker 4: and eighty one different kids? 325 00:16:54,120 --> 00:16:55,040 Speaker 2: No, I don't know. 326 00:16:55,520 --> 00:16:57,320 Speaker 4: That's not the nature of it, though, as long as 327 00:16:57,320 --> 00:16:59,400 Speaker 4: you have the medical information. 328 00:16:59,200 --> 00:17:01,560 Speaker 2: I don't I'm just saying I wouldn't want that. No, 329 00:17:01,680 --> 00:17:02,920 Speaker 2: I hear you, I hear you. 330 00:17:03,280 --> 00:17:04,800 Speaker 3: I hate Do you have a whole bunch of little 331 00:17:04,800 --> 00:17:08,200 Speaker 3: mees out there with no me in no role in whatsoever? 332 00:17:08,680 --> 00:17:13,280 Speaker 2: We all hate that idea? Armstrong Andy Song and. 333 00:17:15,400 --> 00:17:16,040 Speaker 8: Song and. 334 00:17:20,000 --> 00:17:29,720 Speaker 1: Arm Strong he yeddy thee Armstrong and yeeddy sho. 335 00:17:29,840 --> 00:17:33,000 Speaker 3: You do have a celebrity death to mention, Polly Walnuts 336 00:17:33,160 --> 00:17:36,160 Speaker 3: from The Sopranos has died at the age of old. 337 00:17:36,560 --> 00:17:38,680 Speaker 2: I don't know how old he was with seventy nine 338 00:17:38,840 --> 00:17:40,920 Speaker 2: okay at dementia? 339 00:17:41,280 --> 00:17:43,639 Speaker 3: Did he ever find the Russian in the woods? 340 00:17:44,200 --> 00:17:46,320 Speaker 2: Is the question? Or did we hear from the great 341 00:17:46,520 --> 00:17:49,440 Speaker 2: Tony Currico what's his name? Yes? 342 00:17:50,000 --> 00:18:01,439 Speaker 3: Sure, laughing. He had a lot of great lines enough as. 343 00:18:01,359 --> 00:18:04,240 Speaker 4: He did, and we'll work to get those for tomorrow's show. 344 00:18:05,800 --> 00:18:08,480 Speaker 4: Olli Walnuts has passed anyway. He was an actor, so 345 00:18:09,280 --> 00:18:11,680 Speaker 4: it was a great role, fabulous role. I thought this 346 00:18:11,880 --> 00:18:14,640 Speaker 4: was interesting. Andrea Peterson wrote this for the Wall Street 347 00:18:14,720 --> 00:18:18,240 Speaker 4: Journal about she's got on this program and I'm not 348 00:18:18,320 --> 00:18:21,560 Speaker 4: even aware of the stuff until I read about it. 349 00:18:21,680 --> 00:18:24,639 Speaker 4: But obsession with gut health I was kind of familiar with. 350 00:18:25,400 --> 00:18:28,040 Speaker 4: I'm actually interested in the science behind it, the idea 351 00:18:28,119 --> 00:18:31,560 Speaker 4: that we human beings are not an organism, We're actually 352 00:18:31,640 --> 00:18:37,320 Speaker 4: an ecosystem with millions of organisms living within us. It's 353 00:18:37,680 --> 00:18:41,120 Speaker 4: actually kind of interesting and aspiring after you get past 354 00:18:41,240 --> 00:18:45,399 Speaker 4: like an initial bit of oogeness. But everybody wants to 355 00:18:45,440 --> 00:18:49,680 Speaker 4: have healthy intestinal systems, and that includes having the gut 356 00:18:49,760 --> 00:18:54,480 Speaker 4: biome be in good shape. But so Andrew Peterson's writing 357 00:18:54,520 --> 00:18:57,639 Speaker 4: about this, and I wasn't familiar with some of this stuff. 358 00:18:58,680 --> 00:19:02,119 Speaker 4: They have these companies that you do all sorts of 359 00:19:02,520 --> 00:19:07,200 Speaker 4: testing and logging and reporting of what you're eating, and 360 00:19:07,280 --> 00:19:09,600 Speaker 4: then it gives you feedback on what you ought to 361 00:19:09,680 --> 00:19:14,720 Speaker 4: be eating and how, she writes, she failed the test. 362 00:19:14,840 --> 00:19:16,720 Speaker 4: She got a rating of poor, and she was really 363 00:19:16,800 --> 00:19:21,160 Speaker 4: disappointed on that. The whole week crackers I thought were healthy, 364 00:19:21,320 --> 00:19:23,440 Speaker 4: Maybe not so much for me. A breakfast of fruit 365 00:19:23,440 --> 00:19:27,280 Speaker 4: and granola, pretty middling, Zoe the service I used? 366 00:19:27,520 --> 00:19:29,440 Speaker 2: All right, wait a minute, I got to stop there. 367 00:19:30,760 --> 00:19:31,320 Speaker 2: I'm sorry. 368 00:19:31,720 --> 00:19:36,440 Speaker 4: I find it so annoying that this gut health testing 369 00:19:36,720 --> 00:19:41,400 Speaker 4: counseling service just gives itself a friendly, approachable girl's name, Zoe. 370 00:19:42,760 --> 00:19:47,960 Speaker 2: What the F do you do? Where's Zoe? Seriously? 371 00:19:48,080 --> 00:19:51,400 Speaker 4: If you're so weak minded that that makes you more 372 00:19:51,680 --> 00:19:54,240 Speaker 4: likely to give them your heart earned money, well you 373 00:19:55,000 --> 00:19:56,200 Speaker 4: deserve to be parted from it. 374 00:19:56,359 --> 00:19:56,720 Speaker 2: I don't know. 375 00:19:56,800 --> 00:20:00,560 Speaker 4: I find that so annoying, but I do. Why Zoey? 376 00:20:00,600 --> 00:20:03,560 Speaker 4: Why not Caitlin or Jenna or whatever else? Did it 377 00:20:03,760 --> 00:20:05,880 Speaker 4: just test better? Anyways? 378 00:20:06,960 --> 00:20:09,200 Speaker 3: The things that set you off for Alarios. 379 00:20:10,200 --> 00:20:12,600 Speaker 4: It's among a growing number of companies that offer medical 380 00:20:12,680 --> 00:20:15,800 Speaker 4: tests to people and provide them diet recommendations based on 381 00:20:15,840 --> 00:20:20,479 Speaker 4: the results. Many scientists believe diet guidance tailored to an 382 00:20:20,640 --> 00:20:24,280 Speaker 4: individual's biology will soon become commonplace. 383 00:20:24,520 --> 00:20:27,000 Speaker 3: Wow, I wonder if that's bs or if that's true. 384 00:20:27,080 --> 00:20:31,880 Speaker 3: Do we we're humans? Do we all need the same 385 00:20:32,119 --> 00:20:35,000 Speaker 3: diet or do we all have an individual diet. 386 00:20:34,800 --> 00:20:35,320 Speaker 2: We should beat. 387 00:20:36,280 --> 00:20:39,720 Speaker 4: There's a big national Institutes of Health study testing that 388 00:20:39,800 --> 00:20:43,520 Speaker 4: approach right now, the NIH. Do you remember the NIH? 389 00:20:43,640 --> 00:20:46,600 Speaker 4: They had a standing six feet apart and wouldn't let 390 00:20:46,640 --> 00:20:50,520 Speaker 4: the kids play in playgrounds. That doesn't mean they're necessarily 391 00:20:50,600 --> 00:20:55,920 Speaker 4: wrong on this stuff, let's see. So anyway, she goes 392 00:20:55,960 --> 00:20:58,600 Speaker 4: into how she was perplexed and bummed out at her 393 00:20:59,680 --> 00:21:00,440 Speaker 4: hurt test. 394 00:21:02,200 --> 00:21:02,320 Speaker 1: Uh. 395 00:21:02,520 --> 00:21:05,240 Speaker 4: Dejected, I avoided looking at the Zoe app for months. 396 00:21:05,400 --> 00:21:08,880 Speaker 4: My editors still wanted a story, though, so I begrudgingly returned. 397 00:21:09,200 --> 00:21:13,280 Speaker 3: You're weird person. This is your job, for one thing. Secondly, 398 00:21:13,359 --> 00:21:16,960 Speaker 3: you're not kind of interested in what Zoway's going to 399 00:21:17,000 --> 00:21:17,560 Speaker 3: tell you to eat. 400 00:21:18,560 --> 00:21:21,040 Speaker 4: So, she says, I wasn't always diligent about logging my 401 00:21:21,119 --> 00:21:23,480 Speaker 4: meals in the app, but it identified some weak spots 402 00:21:23,520 --> 00:21:26,560 Speaker 4: in my diet. It also nudged me toward healthier choices. Still, 403 00:21:26,680 --> 00:21:29,399 Speaker 4: the relentless task of tracking what I ate could be 404 00:21:29,480 --> 00:21:33,200 Speaker 4: a joyless time suck. Here's how it went. And here's 405 00:21:33,240 --> 00:21:35,520 Speaker 4: the part that I found really interesting. This is the 406 00:21:35,680 --> 00:21:39,159 Speaker 4: reality of it Oka. It is principle like, is this 407 00:21:39,280 --> 00:21:42,360 Speaker 4: available to me today? If I Zoe on my phone 408 00:21:42,400 --> 00:21:44,720 Speaker 4: and I could start typing and everything I eat. Well, 409 00:21:44,760 --> 00:21:46,680 Speaker 4: it's a lot more than an app, as you're about 410 00:21:46,680 --> 00:21:47,920 Speaker 4: to find out, and there are quite a few of 411 00:21:48,000 --> 00:21:50,720 Speaker 4: them that are competitive. But a big yellow box arrived 412 00:21:50,760 --> 00:21:54,240 Speaker 4: on my doorstep containing an intimidating amount of paraphernalia. I 413 00:21:54,400 --> 00:21:57,400 Speaker 4: unpacked a few paces of medical equipment for testing day. 414 00:21:57,840 --> 00:21:59,640 Speaker 4: To prepare, I had to put together in a fix 415 00:21:59,720 --> 00:22:03,280 Speaker 4: the can tinuous glucose monitor or CGM to the back 416 00:22:03,320 --> 00:22:05,840 Speaker 4: of my arm. I could barely feel the tiny needle 417 00:22:05,920 --> 00:22:07,800 Speaker 4: that would stay lodged in my body for the next 418 00:22:07,880 --> 00:22:11,159 Speaker 4: two weeks. I answered a ton of questions in the 419 00:22:11,200 --> 00:22:15,560 Speaker 4: app about my health history and usual diet. After fasting overnight, 420 00:22:15,640 --> 00:22:19,240 Speaker 4: I ate the provided breakfast two pancake sized white chocolate 421 00:22:19,320 --> 00:22:22,959 Speaker 4: cookies so sweet they made my teethache. The cookies at 422 00:22:23,000 --> 00:22:25,840 Speaker 4: a generous amount of fat and added sugar. The point 423 00:22:25,960 --> 00:22:30,040 Speaker 4: is to stress the system. According to Belly's chief scientists, 424 00:22:30,119 --> 00:22:34,800 Speaker 4: stress the system. Lunch was two more cookies bright blue ones. 425 00:22:34,920 --> 00:22:38,400 Speaker 4: The color made it possible to record your gut transit time, 426 00:22:38,720 --> 00:22:41,040 Speaker 4: or how long it takes for food to travel through 427 00:22:41,119 --> 00:22:45,399 Speaker 4: the digestive system. That means you're on poop watch for 428 00:22:45,520 --> 00:22:51,280 Speaker 4: the so to speak yes when your pip turns blue. 429 00:22:52,640 --> 00:22:55,919 Speaker 4: For the microbiome test, I had to collect a stool sample. 430 00:22:56,359 --> 00:23:00,440 Speaker 4: Not pleasant, not even An even weirder test was the 431 00:23:00,560 --> 00:23:03,720 Speaker 4: DIY blood draw, which involved a button like gadget that 432 00:23:03,840 --> 00:23:07,040 Speaker 4: sliced a horizontal cut on my open upper arm. 433 00:23:07,080 --> 00:23:07,480 Speaker 2: I'm sorry. 434 00:23:07,800 --> 00:23:11,040 Speaker 4: I returned my samples to Zoe via UPS so I'm 435 00:23:11,520 --> 00:23:14,760 Speaker 4: sure delighted to be carrying people's poop around America. 436 00:23:14,960 --> 00:23:17,040 Speaker 3: So I got to take a stool sample and then 437 00:23:17,119 --> 00:23:19,600 Speaker 3: have something jabbing me in the arm with a needle 438 00:23:20,960 --> 00:23:23,200 Speaker 3: to be told whether or not my gut biome is 439 00:23:24,000 --> 00:23:24,600 Speaker 3: up the snuff. 440 00:23:25,119 --> 00:23:27,800 Speaker 4: Yeah, they're actually two separate. There was the jabbing and 441 00:23:27,840 --> 00:23:31,200 Speaker 4: then the slashing. But for two weeks I logged everything 442 00:23:31,280 --> 00:23:33,920 Speaker 4: I ate at least every eight hours. I scanned my 443 00:23:34,560 --> 00:23:37,800 Speaker 4: continuous glucose monitor with my iPhone to record my blood 444 00:23:37,840 --> 00:23:40,719 Speaker 4: sugar levels. To get the CGM test kit, I had 445 00:23:40,760 --> 00:23:44,000 Speaker 4: to opt into being part of Zoe's ongoing research. The 446 00:23:44,200 --> 00:23:46,520 Speaker 4: test kit cost me two hundred and ninety four dollars, 447 00:23:46,760 --> 00:23:48,720 Speaker 4: and the required membership I chose. 448 00:23:48,520 --> 00:23:49,840 Speaker 2: Is twenty five bucks a month. 449 00:23:49,880 --> 00:23:52,240 Speaker 3: I'd say that's a bar, I waited, that's a bargain 450 00:23:52,320 --> 00:23:53,920 Speaker 3: for getting jammed in the arm with a needle. 451 00:23:54,960 --> 00:23:59,520 Speaker 4: Yeah, yeah, cjam readings have long been essential for people 452 00:23:59,600 --> 00:24:01,800 Speaker 4: to tell you eaties would researches thin on how useful 453 00:24:01,840 --> 00:24:03,560 Speaker 4: the readings are for people like me who don't have it, 454 00:24:03,760 --> 00:24:04,640 Speaker 4: She said, blah blah blah. 455 00:24:04,960 --> 00:24:10,720 Speaker 3: Yeah, I just so, we just discovered this whole we're 456 00:24:10,760 --> 00:24:13,760 Speaker 3: a bioorganism gut hell thing fairly recently, at least I 457 00:24:13,800 --> 00:24:16,280 Speaker 3: don't remember hearing about it until ten years ago or whatever. 458 00:24:16,960 --> 00:24:20,280 Speaker 3: So everybody that lived before us, they were all doing 459 00:24:20,320 --> 00:24:24,920 Speaker 3: it wrong, not knowing their gut biome and just eating 460 00:24:24,960 --> 00:24:28,120 Speaker 3: whatever they ate back when people were thin, by the way, 461 00:24:28,600 --> 00:24:32,000 Speaker 3: back when everybody was thinner. But that was also back 462 00:24:32,040 --> 00:24:36,240 Speaker 3: when people were eating the obvious lean meats and fruit 463 00:24:36,280 --> 00:24:42,080 Speaker 3: and vegetables and basic grains, unrefined food, unfactory processed stuff, 464 00:24:42,640 --> 00:24:44,240 Speaker 3: stuff we'd been evolved. 465 00:24:43,880 --> 00:24:48,840 Speaker 4: To eat from millions of years. Yeah, and when she 466 00:24:49,000 --> 00:24:50,960 Speaker 4: logged in what she ate, she got a food score 467 00:24:51,000 --> 00:24:54,560 Speaker 4: and a meal score. Plain unsalted almonds neared to perfect 468 00:24:54,600 --> 00:24:58,639 Speaker 4: one hundred, black beans ninety one. Bacon got a nine 469 00:24:59,640 --> 00:25:01,760 Speaker 4: in the cupcake I grabbed it a work meeting, a 470 00:25:01,840 --> 00:25:05,080 Speaker 4: lowly nineteen. Wait a minute, A cupcakes better than bacon? 471 00:25:05,359 --> 00:25:06,600 Speaker 3: What is the higher number better? 472 00:25:07,560 --> 00:25:11,280 Speaker 2: Yes? So, yeah, so bacon got a nine. Yes, huh. 473 00:25:11,480 --> 00:25:15,840 Speaker 4: Plain unsalted almonds mmmmmmmm, scored a perfect one hundred. 474 00:25:16,040 --> 00:25:18,000 Speaker 3: Okay, I eat a lot of nuts at this point 475 00:25:18,040 --> 00:25:19,720 Speaker 3: in my life, and they really been working for me 476 00:25:19,800 --> 00:25:21,000 Speaker 3: and keeping my weight off. 477 00:25:22,000 --> 00:25:22,119 Speaker 4: Uh. 478 00:25:22,200 --> 00:25:26,080 Speaker 2: Yeah, I'm a big fan. Actually that's a appetite suppressor, 479 00:25:26,200 --> 00:25:30,800 Speaker 2: eating nuts for some reason. Yeah, yeah, I don't you 480 00:25:30,920 --> 00:25:32,680 Speaker 2: know it. She said. 481 00:25:32,760 --> 00:25:36,560 Speaker 4: The bottom line was and she's kind of enthusiastic about 482 00:25:36,640 --> 00:25:39,399 Speaker 4: chasing scores, so she was kind of into this, but 483 00:25:39,560 --> 00:25:44,560 Speaker 4: it did guide her toward more simple, basic food. 484 00:25:45,480 --> 00:25:49,440 Speaker 3: I think if you just wrote down, logged in what 485 00:25:49,560 --> 00:25:52,760 Speaker 3: you eat every day and had no program and know nothing, 486 00:25:53,000 --> 00:25:55,359 Speaker 3: it would be helpful because you looked at the end 487 00:25:55,400 --> 00:25:58,280 Speaker 3: of the day and thought, wow, hey, I mean, if 488 00:25:58,320 --> 00:26:02,720 Speaker 3: you're honest and left today, I had a donut at work, 489 00:26:02,880 --> 00:26:04,960 Speaker 3: and then at lunch I had a you know whatever, 490 00:26:05,040 --> 00:26:06,240 Speaker 3: and then in the afternoon. 491 00:26:06,320 --> 00:26:09,639 Speaker 2: I shouldn't be doing that. Yeah, yeah, you're probably right. 492 00:26:12,040 --> 00:26:14,200 Speaker 4: I don't feel like getting jabbed and slashed and paying 493 00:26:14,320 --> 00:26:16,359 Speaker 4: three hundred bucks and twenty five bucks in Mike. 494 00:26:16,280 --> 00:26:21,680 Speaker 3: Don't feel like collecting my dookies. Yes, uh, Katie, glad 495 00:26:21,760 --> 00:26:27,320 Speaker 3: to follow. That's a poet speaking of speaking of nuts guys. Yes, 496 00:26:27,600 --> 00:26:30,040 Speaker 3: just to slide up from earlier, not any less sad, 497 00:26:30,200 --> 00:26:34,200 Speaker 3: but poly walnuts actually passed away three years ago today. 498 00:26:37,840 --> 00:26:47,399 Speaker 2: Well, we got the basic art right, So why is that? 499 00:26:48,480 --> 00:26:49,600 Speaker 2: What is going on here? 500 00:26:52,840 --> 00:26:53,000 Speaker 4: Oh? 501 00:26:53,720 --> 00:26:56,080 Speaker 3: That's that's who? Did we kill off a couple a 502 00:26:56,119 --> 00:26:58,679 Speaker 3: couple of months ago. We killed off the wrong person, 503 00:27:00,119 --> 00:27:04,359 Speaker 3: completely wrong woman. We talked about her for a long time. Oh, 504 00:27:04,440 --> 00:27:07,240 Speaker 3: it is the person Gloria Gainer I will survive, who's 505 00:27:07,240 --> 00:27:08,639 Speaker 3: still alive in well, as far as I know, we 506 00:27:08,720 --> 00:27:15,520 Speaker 3: had a different gainor she's dead. We are the wrong 507 00:27:15,640 --> 00:27:20,600 Speaker 3: people to go to for celebrity deaths. Oh that's hilarious. Well, 508 00:27:20,720 --> 00:27:23,280 Speaker 3: as we all celebrate the three year anniversary of the 509 00:27:23,400 --> 00:27:28,200 Speaker 3: death of an actor you couldn't name, my pain is starting. 510 00:27:28,960 --> 00:27:32,159 Speaker 2: You can't played a month to his laughing on. 511 00:27:32,280 --> 00:27:39,720 Speaker 3: His three year anniversary. The traditional three year anniversary. We 512 00:27:39,880 --> 00:27:40,840 Speaker 3: need to do better. 513 00:27:40,920 --> 00:27:42,479 Speaker 2: We need to be better well. 514 00:27:42,520 --> 00:27:45,080 Speaker 3: And it just shows you how meaningful celebrity deaths are 515 00:27:45,960 --> 00:27:47,719 Speaker 3: because we probably made a d lot of it when 516 00:27:47,760 --> 00:27:53,000 Speaker 3: he died the first time, and. 517 00:27:53,040 --> 00:27:58,480 Speaker 4: When we played it, I thought, wait a minute, well. 518 00:27:57,160 --> 00:27:59,080 Speaker 3: Will hit you with this again in four years. I 519 00:27:59,119 --> 00:28:00,200 Speaker 3: hope you're still listening. 520 00:28:01,640 --> 00:28:08,680 Speaker 1: Strong the Armstrong and Getty Show. 521 00:28:09,040 --> 00:28:11,240 Speaker 4: Jack and I have both been following the Caitlin Clark 522 00:28:11,359 --> 00:28:17,320 Speaker 4: story in the WNBA. She is. You know, I've compared 523 00:28:17,400 --> 00:28:19,600 Speaker 4: her to what Tiger Woods did to golf, but it's 524 00:28:19,880 --> 00:28:24,680 Speaker 4: much more than that. As as monumental as Tiger Tiger 525 00:28:24,720 --> 00:28:27,000 Speaker 4: Woods isn't on the Mount Rushmore of golf. You might 526 00:28:27,119 --> 00:28:29,560 Speaker 4: be Mount Rushmore of the modern game and all the 527 00:28:29,760 --> 00:28:32,080 Speaker 4: money involved, but golf alls in respect to the stars 528 00:28:32,080 --> 00:28:35,840 Speaker 4: of the past. Golf was already popular though, Oh yeah, yeah, 529 00:28:36,080 --> 00:28:38,640 Speaker 4: like I say, I think Caitlyn's The big NBA was 530 00:28:38,720 --> 00:28:43,200 Speaker 4: not listen to this for a second. Caitlin Clark's impact 531 00:28:43,800 --> 00:28:50,280 Speaker 4: merchandise sales have soared six hundred and one percent. Her team, 532 00:28:50,480 --> 00:28:53,680 Speaker 4: the Indiana Fevers, viewership jumped one hundred and seventy percent. 533 00:28:54,480 --> 00:29:01,000 Speaker 4: The team's value has tripled. Wow League past team subscriptions 534 00:29:01,040 --> 00:29:04,160 Speaker 4: of climb three hundred and sixty six percent. Since she 535 00:29:04,280 --> 00:29:07,320 Speaker 4: joined the league last year, app engagement is up six 536 00:29:07,440 --> 00:29:10,800 Speaker 4: hundred and thirteen percent, her endorsements of top to eleven 537 00:29:10,920 --> 00:29:14,920 Speaker 4: million dollars. Holy crap, I was trying to find my 538 00:29:15,480 --> 00:29:18,360 Speaker 4: quote from ice Cube. Do you remember he had offered her, 539 00:29:18,440 --> 00:29:20,400 Speaker 4: I think three million dollars to play in this three 540 00:29:20,560 --> 00:29:22,560 Speaker 4: x three league and she decided to go into the 541 00:29:22,720 --> 00:29:26,480 Speaker 4: w NBA anyway, And he was asked why he didn't offer, 542 00:29:27,920 --> 00:29:31,880 Speaker 4: you know, big money to uh, what's her rival's name, Reese, 543 00:29:32,440 --> 00:29:37,040 Speaker 4: and he said, they're they're in different Caitlin Clark's in 544 00:29:37,120 --> 00:29:40,800 Speaker 4: a completely different stratosphere than Reese. I mean, they're not 545 00:29:40,880 --> 00:29:45,360 Speaker 4: even close to the same thing, he said, as a 546 00:29:45,680 --> 00:29:47,880 Speaker 4: you know, from the hood, black wrapper who's always standing 547 00:29:47,960 --> 00:29:50,400 Speaker 4: up for, you know, the black community. 548 00:29:51,520 --> 00:29:53,880 Speaker 2: As a businessman, he said, they're not even close to 549 00:29:53,920 --> 00:29:55,920 Speaker 2: the same thing, right right. 550 00:29:56,360 --> 00:29:59,360 Speaker 4: So with that as the backdrop, I saw with interest 551 00:29:59,440 --> 00:30:05,040 Speaker 4: this piece by Sean McClain, who is you know, he's 552 00:30:05,160 --> 00:30:09,760 Speaker 4: actually got a history working for Ted Cruz and Marsha 553 00:30:09,880 --> 00:30:14,560 Speaker 4: Blackburn and Tennessee thinker, lobbyist, lawyer, et cetera. But anyway, 554 00:30:15,720 --> 00:30:18,880 Speaker 4: his headline is the WNBA in Caitlin Clark's civil rights. 555 00:30:19,000 --> 00:30:22,000 Speaker 4: If the league won't act to protect its superstar from 556 00:30:22,080 --> 00:30:26,400 Speaker 4: a hostile work environment, the government should do so. And 557 00:30:26,600 --> 00:30:29,560 Speaker 4: he talks about in spite of her being the economic 558 00:30:29,600 --> 00:30:34,200 Speaker 4: engine of the entire league, now she routinely faces intentional hits, 559 00:30:34,600 --> 00:30:38,480 Speaker 4: excessive fouling, uncalled abuse while referees look away. 560 00:30:40,080 --> 00:30:42,520 Speaker 2: Quotes one of her teammates. 561 00:30:44,360 --> 00:30:47,000 Speaker 4: And Caitlin Clark herself about how she gets the hell 562 00:30:47,080 --> 00:30:48,920 Speaker 4: beat out of her in a way nobody else does 563 00:30:48,960 --> 00:30:51,280 Speaker 4: in the league and the refs look the other way 564 00:30:51,480 --> 00:30:53,040 Speaker 4: and the players get away with it. 565 00:30:53,160 --> 00:30:54,600 Speaker 3: Why would the refs look the other way? 566 00:30:55,440 --> 00:30:56,600 Speaker 2: I don't know. 567 00:30:57,320 --> 00:31:01,160 Speaker 3: I get the players situation. I don't get the ref situation, well, 568 00:31:01,200 --> 00:31:03,960 Speaker 3: even the player situation. As Shaq and Charles Barklay and 569 00:31:04,000 --> 00:31:06,840 Speaker 3: as the others have said, what are you doing? This 570 00:31:07,000 --> 00:31:09,280 Speaker 3: is the best thing that has ever happened to you. 571 00:31:09,920 --> 00:31:12,720 Speaker 2: Well, here's where we're going. Is it because miss Clark 572 00:31:12,800 --> 00:31:13,280 Speaker 2: is white? 573 00:31:13,960 --> 00:31:17,240 Speaker 4: A Jah Wilson of the Las Vegas Aces three time 574 00:31:17,360 --> 00:31:21,000 Speaker 4: league MVP thinks. So she said that race is a 575 00:31:21,160 --> 00:31:23,520 Speaker 4: huge thing and that it boils my blood when people 576 00:31:23,600 --> 00:31:26,560 Speaker 4: say it's not about race, because it is Wow, she 577 00:31:26,720 --> 00:31:29,240 Speaker 4: said as a black woman under civil rights law, race 578 00:31:29,320 --> 00:31:35,680 Speaker 4: motivated patterns trigger scrutiny even without explicit discriminatory intent. And 579 00:31:35,800 --> 00:31:39,840 Speaker 4: then he goes into miss calls include viral replays of 580 00:31:39,880 --> 00:31:43,240 Speaker 4: miss Clark being fouled multiple times in a single possession. 581 00:31:43,640 --> 00:31:46,520 Speaker 4: Analyst Rebecca Lobo said, every single one of those is 582 00:31:46,560 --> 00:31:52,040 Speaker 4: a foul. Miss Clark absorbed seventeen percent of the flagrant 583 00:31:52,160 --> 00:31:53,520 Speaker 4: fowls in the league. 584 00:31:53,960 --> 00:31:54,960 Speaker 2: Wow, last year. 585 00:31:55,440 --> 00:31:58,520 Speaker 3: That is something the double the rate of anybody else 586 00:31:59,000 --> 00:32:02,320 Speaker 3: who was flagrantly And they're claiming the claim there is 587 00:32:02,440 --> 00:32:04,600 Speaker 3: by people who know what they're talking about, that she 588 00:32:04,760 --> 00:32:07,200 Speaker 3: gets hard followed a lot when they don't call it. 589 00:32:07,560 --> 00:32:10,719 Speaker 3: So all the ones she called, one player she took 590 00:32:10,800 --> 00:32:13,920 Speaker 3: seventy percent, And that's unbelievable. So this guy and we're 591 00:32:13,960 --> 00:32:16,760 Speaker 3: not into like excessive lawsuits and that sort of thing 592 00:32:16,880 --> 00:32:19,600 Speaker 3: around here. What we'd like to do is dismantle a 593 00:32:19,720 --> 00:32:21,480 Speaker 3: lot of the DEI garbage. 594 00:32:21,560 --> 00:32:25,160 Speaker 4: But he writes the league has fostered a hostile workplace 595 00:32:25,200 --> 00:32:28,719 Speaker 4: for MS Clark through excessive fouling, targeting, and hostile comments 596 00:32:28,720 --> 00:32:33,320 Speaker 4: from other players and owners. These are not isolated, they're documented, continued, 597 00:32:33,320 --> 00:32:37,360 Speaker 4: and ignored by officials, the disparity in treatment invites real scrutiny. 598 00:32:37,720 --> 00:32:41,440 Speaker 4: Not a single player has been suspended for flagrantly fouling 599 00:32:41,920 --> 00:32:42,600 Speaker 4: MS Clark. 600 00:32:43,520 --> 00:32:44,360 Speaker 2: That's pretty interesting. 601 00:32:44,600 --> 00:32:48,880 Speaker 4: And he points out that, uh that professional sports are 602 00:32:48,960 --> 00:32:51,160 Speaker 4: multi billion dollar industries and they're subject to the same 603 00:32:51,240 --> 00:32:54,120 Speaker 4: civil rights, antitrust and labor laws as anybody else. 604 00:32:54,480 --> 00:33:00,440 Speaker 3: Wow. Yeah, I've never thought about this either, because seems 605 00:33:00,480 --> 00:33:02,560 Speaker 3: like a unnecessary remedy. 606 00:33:02,640 --> 00:33:05,200 Speaker 4: But if you've got if you given her money and 607 00:33:05,520 --> 00:33:07,360 Speaker 4: power and popularity and everything, I get it. 608 00:33:07,520 --> 00:33:10,040 Speaker 3: But if you've got a white employee of a business 609 00:33:11,040 --> 00:33:13,600 Speaker 3: who's getting the hell beat out of them because of 610 00:33:13,800 --> 00:33:16,000 Speaker 3: their race, that seems like a thing. 611 00:33:17,240 --> 00:33:18,320 Speaker 2: Yeah you see. 612 00:33:18,680 --> 00:33:21,640 Speaker 4: Oh, Yukon Hall of Fame coach Gino ari Ema says 613 00:33:22,320 --> 00:33:24,640 Speaker 4: Miss Clark's treatment isn't merely rookie Haysen quote. 614 00:33:24,640 --> 00:33:25,760 Speaker 2: She's also being targeted. 615 00:33:25,840 --> 00:33:28,080 Speaker 4: I don't remember when Michael Jordan came into the NBA, 616 00:33:28,400 --> 00:33:30,400 Speaker 4: guys looking to go out and beat him up. Of course, 617 00:33:30,440 --> 00:33:32,920 Speaker 4: everybody got beat up in the NBA at that point. 618 00:33:34,040 --> 00:33:35,960 Speaker 4: And then they get into the Supreme Court rulings that 619 00:33:36,080 --> 00:33:40,760 Speaker 4: it doesn't need to be deliberate, it's just letting employees 620 00:33:41,680 --> 00:33:47,640 Speaker 4: get more favorable treatment than peers due to race, the shifts, 621 00:33:47,680 --> 00:33:50,440 Speaker 4: the burden of the employer to prove non discriminatory motives. 622 00:33:50,600 --> 00:33:53,440 Speaker 2: Anyway, she won't do it, but it's an interesting thong. 623 00:33:53,560 --> 00:33:56,560 Speaker 3: I'm just surprised that there aren't more of the athletes 624 00:33:56,640 --> 00:33:59,360 Speaker 3: or they haven't come to the conclusion, like Shaq and 625 00:33:59,440 --> 00:34:03,360 Speaker 3: Charles bark You've said, you know, you want to beat her, 626 00:34:03,400 --> 00:34:06,120 Speaker 3: you're competitive and all that sort of stuff. But good lord, 627 00:34:07,040 --> 00:34:10,640 Speaker 3: let her bring in the ratings, so all of a sudden, 628 00:34:10,719 --> 00:34:14,720 Speaker 3: you're relevant and your league might actually have a shot 629 00:34:14,760 --> 00:34:15,600 Speaker 3: of making money. 630 00:34:16,320 --> 00:34:21,839 Speaker 4: Right two things. She is also in a smallest group 631 00:34:21,880 --> 00:34:25,279 Speaker 4: of straight players. How big a role that place? I 632 00:34:25,360 --> 00:34:30,000 Speaker 4: really don't her. But much more importantly, the WNBA players 633 00:34:30,040 --> 00:34:32,960 Speaker 4: of today, unlike Shack and Charles Barkley, for instance, they 634 00:34:33,200 --> 00:34:38,440 Speaker 4: are of the generation that has been schooled on systemic racism. 635 00:34:38,160 --> 00:34:41,640 Speaker 2: And DEI and the rest of it. They believe that stuff. 636 00:34:41,680 --> 00:34:45,040 Speaker 4: They're taught at their entire school careers, so they see 637 00:34:45,160 --> 00:34:48,719 Speaker 4: nothing but racism in Caitlyn Clark's popularity. 638 00:34:50,280 --> 00:34:52,000 Speaker 2: I want to take it out on her head. 639 00:34:52,320 --> 00:34:56,560 Speaker 3: She's the all time leading scorer men or women in 640 00:34:56,719 --> 00:34:58,200 Speaker 3: all of college basketball. 641 00:34:58,280 --> 00:35:02,600 Speaker 4: Now people just like her because she's white, right, I 642 00:35:02,719 --> 00:35:06,920 Speaker 4: know it's insane, it is it is ideological blindness that 643 00:35:07,000 --> 00:35:10,040 Speaker 4: borders on mental illness, yeah, i'd say, and. 644 00:35:10,160 --> 00:35:13,080 Speaker 3: To your own detriment. I know, sometimes it's bad just 645 00:35:13,120 --> 00:35:17,400 Speaker 3: because it's immoral, but when it's actually hurting your salary, 646 00:35:17,560 --> 00:35:18,360 Speaker 3: that's nuts. 647 00:35:19,200 --> 00:35:21,480 Speaker 4: Well right, in fact, that might be like a key 648 00:35:21,600 --> 00:35:25,600 Speaker 4: to the diagnosis of mental illness. As doctor Savage used 649 00:35:25,640 --> 00:35:29,480 Speaker 4: to say, liberalism is a mental disorder. If I'm so 650 00:35:29,920 --> 00:35:35,239 Speaker 4: racially resentful, I pretend that her popularity isn't that she's 651 00:35:35,239 --> 00:35:37,200 Speaker 4: an incredibly exciting player. 652 00:35:37,520 --> 00:35:40,000 Speaker 2: Okay, all right, I'm kind of off kilter. 653 00:35:40,480 --> 00:35:44,120 Speaker 4: But if I do it to my own detriment and 654 00:35:44,239 --> 00:35:46,920 Speaker 4: that of my employer and my league and everything, that's 655 00:35:46,960 --> 00:35:50,399 Speaker 4: when you're into Looney Tunesville, The Armstrong and Getty Show.