1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,760 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty, arm Strong 3 00:00:10,800 --> 00:00:19,240 Speaker 1: and Getty and no He Armstrong and Getty. 4 00:00:24,239 --> 00:00:27,440 Speaker 2: Fourteen hundred and fifty five dollars a month for healthcare 5 00:00:27,480 --> 00:00:31,560 Speaker 2: premium has got my attention. And I think our senators 6 00:00:31,560 --> 00:00:35,040 Speaker 2: and congressmans, House members, all of them need to come 7 00:00:35,040 --> 00:00:37,559 Speaker 2: together and get in a room and let's duke this out. 8 00:00:37,640 --> 00:00:38,440 Speaker 1: Let's fix it. 9 00:00:38,440 --> 00:00:43,720 Speaker 3: It's making us reevaluate leaving the corporate world. If we 10 00:00:44,080 --> 00:00:47,760 Speaker 3: had to go back to corporate America because we can't 11 00:00:48,200 --> 00:00:52,159 Speaker 3: afford access to healthcare, not even healthcare, just access to healthcare, 12 00:00:52,200 --> 00:00:52,840 Speaker 3: that would be a shame. 13 00:00:54,800 --> 00:00:55,080 Speaker 4: God. 14 00:00:55,080 --> 00:01:02,400 Speaker 5: I hate this topic. It's so annoying, and of lies, 15 00:01:02,720 --> 00:01:04,520 Speaker 5: it's incredibly complicated. 16 00:01:06,240 --> 00:01:09,440 Speaker 4: Some aspects of it are yeah, yeah, definitely. Well the 17 00:01:09,440 --> 00:01:15,280 Speaker 4: whole it's just oh yeah, oh my god. Yeah. It's 18 00:01:15,360 --> 00:01:19,039 Speaker 4: the how discouraging it is that gets to me. Because 19 00:01:19,360 --> 00:01:22,120 Speaker 4: when you're talking about Obamacare and the subsidies and the 20 00:01:22,160 --> 00:01:25,959 Speaker 4: current debate going on and blah blah blah, if anybody 21 00:01:26,120 --> 00:01:30,919 Speaker 4: had any good faith desire to figure out what's working 22 00:01:30,959 --> 00:01:34,759 Speaker 4: and what's not and what's a good expenditure of people's 23 00:01:34,760 --> 00:01:37,640 Speaker 4: tax dollars. We wouldn't be anywhere close to what we're 24 00:01:37,640 --> 00:01:41,920 Speaker 4: dealing with right now. It's it's an obscenely dysfunctional program. 25 00:01:41,959 --> 00:01:46,039 Speaker 5: Well, I'm gonna play the role of mean conservative. I 26 00:01:46,040 --> 00:01:48,560 Speaker 5: don't believe healthcare is a right. I'm fine with it 27 00:01:48,600 --> 00:01:50,560 Speaker 5: being tied to employment. Get out there and get a 28 00:01:50,560 --> 00:01:54,040 Speaker 5: freaking job that gives you health care. That'd be my message. 29 00:01:55,600 --> 00:01:58,520 Speaker 5: And so we always end up having these non stop 30 00:01:58,600 --> 00:02:01,480 Speaker 5: conversations about a tiny percentage of people. 31 00:02:01,800 --> 00:02:05,480 Speaker 4: So I reached out to Craig Gottwalls. He's our healthcare experty, 32 00:02:05,600 --> 00:02:06,640 Speaker 4: is a healthcare expert. 33 00:02:06,640 --> 00:02:08,200 Speaker 5: He is one of the best that exists, and he 34 00:02:08,240 --> 00:02:11,480 Speaker 5: can help your company with its healthcare costs. We shall 35 00:02:11,520 --> 00:02:13,359 Speaker 5: probably hit you with a website or something, since Craig 36 00:02:13,400 --> 00:02:14,200 Speaker 5: went to all this work. 37 00:02:14,360 --> 00:02:15,960 Speaker 1: But I said, how many people are we even talking 38 00:02:16,000 --> 00:02:16,440 Speaker 1: about here? 39 00:02:17,120 --> 00:02:21,360 Speaker 5: About twenty two million people that are getting the subsidies 40 00:02:21,360 --> 00:02:22,920 Speaker 5: that we're talking about here, they're going to have their 41 00:02:22,919 --> 00:02:26,480 Speaker 5: premiums go up compared to, for instance, one hundred and 42 00:02:26,520 --> 00:02:31,000 Speaker 5: sixty five million people that got a job that has healthcare. 43 00:02:31,520 --> 00:02:33,880 Speaker 5: That's the vast majority of us out there. And then 44 00:02:34,080 --> 00:02:37,200 Speaker 5: if you're either poor or older. You got another seventy 45 00:02:37,360 --> 00:02:42,000 Speaker 5: seven million on Medicaid and sixty nine million on Medicare. 46 00:02:42,360 --> 00:02:43,760 Speaker 1: That's a lot of people. 47 00:02:44,200 --> 00:02:45,920 Speaker 4: Then you get down to that twenty two million new 48 00:02:45,960 --> 00:02:48,120 Speaker 4: subdies that are going to go up. Now, if Obamacare 49 00:02:48,240 --> 00:02:51,320 Speaker 4: had worked the way it was sold to, let me 50 00:02:51,400 --> 00:02:56,400 Speaker 4: throw in their temporary COVID subsidies are going to be reduced, 51 00:02:56,919 --> 00:02:59,960 Speaker 4: right and go back to the original ones couple of years. 52 00:03:00,120 --> 00:03:02,639 Speaker 5: All right, Well, it looks to me, if I understand 53 00:03:02,639 --> 00:03:04,200 Speaker 5: this right, maybe we ought to have Craig on in 54 00:03:04,240 --> 00:03:06,240 Speaker 5: the coming weeks, probably in the new year, because this 55 00:03:06,360 --> 00:03:08,639 Speaker 5: is going to be like the big topic for Congress 56 00:03:08,800 --> 00:03:12,280 Speaker 5: at the beginning of the year. It looks to me 57 00:03:12,560 --> 00:03:16,880 Speaker 5: like COVID came along at an opportune time with these 58 00:03:16,919 --> 00:03:19,800 Speaker 5: subsidies and everything like that, and covered up all kinds 59 00:03:19,800 --> 00:03:23,560 Speaker 5: of price explosions that we're going to hit and we're 60 00:03:23,560 --> 00:03:25,760 Speaker 5: going to have this conversation anyway, and that kind of 61 00:03:25,800 --> 00:03:31,440 Speaker 5: got masked by COVID and the government stepping into helping 62 00:03:31,480 --> 00:03:34,640 Speaker 5: the downtrodden. If Obamacare had worked the way it was 63 00:03:34,680 --> 00:03:38,440 Speaker 5: supposed to, says Craig, these extra subsidies should be unnecessary 64 00:03:38,440 --> 00:03:40,920 Speaker 5: by now. The promise was that any lists all these 65 00:03:40,920 --> 00:03:43,120 Speaker 5: different things that were supposed to happen, then the market 66 00:03:43,160 --> 00:03:46,080 Speaker 5: was going to stabilize at an affordable level, so you 67 00:03:46,120 --> 00:03:47,520 Speaker 5: wouldn't have needed any of this stuff. 68 00:03:47,840 --> 00:03:48,880 Speaker 1: Well, that never happened. 69 00:03:50,200 --> 00:03:55,200 Speaker 5: Instead, the ACA rules that's Obamacare, drove individual market premiums 70 00:03:55,240 --> 00:03:57,240 Speaker 5: sharply higher, guaranteed blah. 71 00:03:57,080 --> 00:03:58,720 Speaker 1: Blah blah blah blah blah blah. 72 00:03:59,240 --> 00:04:03,480 Speaker 5: So the pandemic era enhanced subseaes didn't fix the underlying pricing. 73 00:04:03,640 --> 00:04:06,480 Speaker 5: They just threw more federal money at the higher premiums 74 00:04:06,480 --> 00:04:08,680 Speaker 5: so people wouldn't feel the full hit. So that kind 75 00:04:08,720 --> 00:04:11,200 Speaker 5: of masked everything during COVID and now. 76 00:04:11,040 --> 00:04:14,720 Speaker 4: All being borrowed at increasingly high interest rates. Yes, we 77 00:04:14,760 --> 00:04:16,960 Speaker 4: are spending money. We don't have to do what we're 78 00:04:16,960 --> 00:04:17,560 Speaker 4: talking about. 79 00:04:17,640 --> 00:04:18,440 Speaker 1: So the current. 80 00:04:18,160 --> 00:04:21,599 Speaker 5: Outcry isn't because Obamacare succeeded and now we're cruelly rolling 81 00:04:21,680 --> 00:04:22,640 Speaker 5: back a core feature. 82 00:04:22,720 --> 00:04:24,400 Speaker 1: It's almost the exact opposite. 83 00:04:24,560 --> 00:04:28,840 Speaker 4: Obamacare helped inflate the sticker price of individual coverage, and 84 00:04:28,880 --> 00:04:32,320 Speaker 4: now that the temporary they were supposed to be temporary, 85 00:04:32,360 --> 00:04:35,640 Speaker 4: and everybody, including many Republicans, now are looking at making 86 00:04:35,640 --> 00:04:38,880 Speaker 4: them permanent. Are scheduled to go away, the underlying cost 87 00:04:38,920 --> 00:04:40,239 Speaker 4: problem is exposed again. 88 00:04:40,440 --> 00:04:42,560 Speaker 1: So uh yeah, And. 89 00:04:42,600 --> 00:04:44,520 Speaker 5: The news today in the Wall Street Journal is that 90 00:04:44,960 --> 00:04:47,839 Speaker 5: there are a lot of Republicans that aren't comfortable with 91 00:04:47,920 --> 00:04:51,800 Speaker 5: allowing these premiums to go back to what they were 92 00:04:51,839 --> 00:04:55,320 Speaker 5: supposed to be because you know, you're the party of 93 00:04:55,320 --> 00:04:59,279 Speaker 5: the working class and all that, and it's so easy 94 00:04:59,320 --> 00:05:00,000 Speaker 5: to demogogue. 95 00:05:00,240 --> 00:05:04,200 Speaker 4: Just listen to Chuck Schumer's messaging about this. The poor 96 00:05:04,279 --> 00:05:08,680 Speaker 4: are gonna lose their healthcare thanks to the Republicans, and 97 00:05:10,040 --> 00:05:14,920 Speaker 4: a right, sure, yeah, a lot of people believe that crap, 98 00:05:15,600 --> 00:05:17,880 Speaker 4: and when instead the conversation ought to be as it 99 00:05:18,000 --> 00:05:20,000 Speaker 4: is like among you know, Craig and people who know 100 00:05:20,080 --> 00:05:25,440 Speaker 4: what they're talking about. Holy cow, the hilariously named Affordable 101 00:05:25,520 --> 00:05:28,320 Speaker 4: Care Act. That's a six hundred pound guy who calls 102 00:05:28,360 --> 00:05:32,880 Speaker 4: himself tiny. The hilariously named Affordable Care Act is a disaster. 103 00:05:33,520 --> 00:05:36,400 Speaker 4: It was fraud to begin with and is worse than 104 00:05:36,440 --> 00:05:37,200 Speaker 4: anybody thought. 105 00:05:37,680 --> 00:05:39,400 Speaker 1: You either like this system or you don't. 106 00:05:39,560 --> 00:05:44,880 Speaker 4: I took jobs bad job, I mean bad bad is 107 00:05:44,920 --> 00:05:47,560 Speaker 4: a bad U quote bad jobs. They didn't pay that 108 00:05:47,600 --> 00:05:51,240 Speaker 4: well and I hated the work, but they provided healthcare. 109 00:05:51,320 --> 00:05:53,479 Speaker 5: I worked a number of bad jobs when I was young, 110 00:05:53,560 --> 00:05:55,560 Speaker 5: so I would have health insurance because I remember my 111 00:05:55,640 --> 00:05:57,440 Speaker 5: dad telling name when I was like eighteen years old. 112 00:05:58,240 --> 00:06:00,360 Speaker 5: He said, you step off a curbram, break your ankle, 113 00:06:00,360 --> 00:06:04,200 Speaker 5: you go bankrupt if you don't have health insurance. So 114 00:06:04,440 --> 00:06:06,400 Speaker 5: I always made sure I had health insurance, and I 115 00:06:06,400 --> 00:06:08,280 Speaker 5: worked some crappy jobs to make sure I did. But 116 00:06:08,320 --> 00:06:10,040 Speaker 5: a lot of people think that's a horror that. 117 00:06:10,000 --> 00:06:10,800 Speaker 1: It shouldn't be that way. 118 00:06:10,800 --> 00:06:15,000 Speaker 5: You shouldn't have to do anything, and for whatever reason 119 00:06:15,080 --> 00:06:19,200 Speaker 5: you aren't working currently, there should be some sort of 120 00:06:19,240 --> 00:06:20,560 Speaker 5: affordable health insurance for you. 121 00:06:20,600 --> 00:06:22,680 Speaker 1: And you either believe health insurance is a writer you don't. 122 00:06:23,240 --> 00:06:25,560 Speaker 4: Before you fire off an angry email, let me just 123 00:06:25,600 --> 00:06:28,080 Speaker 4: step in and say I disagree with Jack. It's the 124 00:06:28,160 --> 00:06:30,240 Speaker 4: nature of the economy has changed. Gig work that sort 125 00:06:30,240 --> 00:06:33,040 Speaker 4: of thing. A lot of employers don't offer healthcare benefits. 126 00:06:33,279 --> 00:06:38,720 Speaker 4: We need a system in addition to employee sponsored healthcare plans. 127 00:06:39,279 --> 00:06:42,240 Speaker 4: Well they don't anymore since we came up with a 128 00:06:42,279 --> 00:06:45,120 Speaker 4: plan where you don't necessarily have to if we don't 129 00:06:45,160 --> 00:06:47,520 Speaker 4: know how many companies would have been offering insurance if 130 00:06:47,560 --> 00:06:49,719 Speaker 4: we had to continue down the same road. Yeah, we 131 00:06:49,760 --> 00:06:51,400 Speaker 4: got a chicken and egg thing going on. Yeah, they 132 00:06:51,400 --> 00:06:54,720 Speaker 4: feed into each other, no doubt. But putting aside you're 133 00:06:54,880 --> 00:07:02,080 Speaker 4: angry oversimplified red meat hurling screen we've got now sucks. 134 00:07:02,240 --> 00:07:04,880 Speaker 4: It doesn't work. It's a bucket with holes in it. 135 00:07:05,160 --> 00:07:07,320 Speaker 4: You fill it at the well, you walk down the 136 00:07:07,320 --> 00:07:11,160 Speaker 4: street and the water polls out on the street. Stop 137 00:07:11,360 --> 00:07:13,720 Speaker 4: saying it's a bucket, it's not. 138 00:07:13,880 --> 00:07:14,800 Speaker 1: It's a sieve. 139 00:07:15,120 --> 00:07:18,680 Speaker 5: Well before Able Care Act is terrible. You always have 140 00:07:18,720 --> 00:07:20,400 Speaker 5: to go back to the goal. Then it all makes sense. 141 00:07:20,440 --> 00:07:24,480 Speaker 5: If you remember the goal, it all makes sense. The 142 00:07:24,520 --> 00:07:28,640 Speaker 5: goal is for it to get more expensive and crazier 143 00:07:28,760 --> 00:07:32,880 Speaker 5: and more maddening and more confusing to where enough people 144 00:07:32,960 --> 00:07:37,560 Speaker 5: say government health care for everybody, my single pair system, 145 00:07:37,640 --> 00:07:38,600 Speaker 5: and then that and then. 146 00:07:38,440 --> 00:07:41,040 Speaker 1: We're done, right right, that's the goal. 147 00:07:41,080 --> 00:07:43,920 Speaker 4: And the Republican Party isn't clever enough, or you know, 148 00:07:44,000 --> 00:07:46,360 Speaker 4: maybe the mountain is too steep to climb, but they 149 00:07:46,400 --> 00:07:49,400 Speaker 4: are not clever enough to let the American people know 150 00:07:49,440 --> 00:07:51,240 Speaker 4: what they need to know, which is that the system 151 00:07:51,280 --> 00:07:54,560 Speaker 4: doesn't work. It needs seriously to be reformed. Their pockets 152 00:07:54,600 --> 00:07:57,920 Speaker 4: are being lined by the insurance giants, which are getting crazy, 153 00:07:58,560 --> 00:08:02,000 Speaker 4: crazy rich on this we've had the stories for you 154 00:08:02,320 --> 00:08:05,720 Speaker 4: recently of the the hundreds of thousand millions I can't 155 00:08:05,720 --> 00:08:10,200 Speaker 4: even remember of accounts that were created, and then that 156 00:08:10,240 --> 00:08:14,400 Speaker 4: person never asked for any healthcare of any sort. Well, 157 00:08:14,400 --> 00:08:17,120 Speaker 4: that's because those accounts are being opened on their behalf. 158 00:08:17,240 --> 00:08:19,440 Speaker 1: They don't even know they exist. 159 00:08:19,280 --> 00:08:21,840 Speaker 4: But the giant subsidies are being paid to the insurance 160 00:08:21,840 --> 00:08:23,400 Speaker 4: companies for instance. 161 00:08:24,120 --> 00:08:26,360 Speaker 5: It's just I don't know, Wall, you gotta admit the 162 00:08:26,640 --> 00:08:31,160 Speaker 5: I think the uh, the the whole notion of healthcare 163 00:08:31,240 --> 00:08:32,200 Speaker 5: is and tied to employment. 164 00:08:32,240 --> 00:08:35,599 Speaker 4: A lot of people find that horrific. I don't know, 165 00:08:35,640 --> 00:08:38,880 Speaker 4: but a lot what that number is. But that's the 166 00:08:38,880 --> 00:08:39,840 Speaker 4: way it was forever. 167 00:08:40,400 --> 00:08:43,320 Speaker 5: I worked part time jobs that gave me health care 168 00:08:44,000 --> 00:08:44,839 Speaker 5: because to get me. 169 00:08:44,840 --> 00:08:47,720 Speaker 1: To work there they had to at that time. 170 00:08:48,000 --> 00:08:51,439 Speaker 4: You don't have that tore, Yeah, yeah, I just I 171 00:08:51,960 --> 00:08:56,000 Speaker 4: think it's that market for labor's changed a lot since then. 172 00:08:56,600 --> 00:09:01,000 Speaker 4: But you know, we're an outlier, and the whole employer 173 00:09:01,040 --> 00:09:05,360 Speaker 4: based healthcare thing is outliar internationally, and it's as you know, 174 00:09:05,480 --> 00:09:08,920 Speaker 4: a vestige of you know, unions that were prevented from 175 00:09:08,960 --> 00:09:13,559 Speaker 4: getting price or wage increases during various you know, wage 176 00:09:13,679 --> 00:09:17,920 Speaker 4: cap periods in our history, and so they said, well, 177 00:09:17,960 --> 00:09:19,559 Speaker 4: you can't give us more wages. How much you pay 178 00:09:19,559 --> 00:09:22,760 Speaker 4: for our doctor bills? And that's just metastasized. But you know, 179 00:09:22,760 --> 00:09:24,640 Speaker 4: whether that's the right system or not, we can argue 180 00:09:24,679 --> 00:09:30,000 Speaker 4: about another time. But again, nobody would unless they were 181 00:09:30,160 --> 00:09:34,800 Speaker 4: seriously profoundly psychotic design the system we have right now, 182 00:09:35,160 --> 00:09:38,840 Speaker 4: And yet we act like any even tweaked to it, 183 00:09:38,880 --> 00:09:42,119 Speaker 4: any reasonable tweak to it is somehow a horror perpetrated 184 00:09:42,120 --> 00:09:43,000 Speaker 4: against the populace. 185 00:09:43,040 --> 00:09:45,120 Speaker 1: I just I give up on self governance. We need 186 00:09:45,160 --> 00:09:47,320 Speaker 1: a king. Can we just get to the bottom line? 187 00:09:47,360 --> 00:09:48,080 Speaker 1: We need a king. 188 00:09:49,320 --> 00:09:51,120 Speaker 4: Well, that number I gave you the vast majority of 189 00:09:51,120 --> 00:09:52,640 Speaker 4: people having healthcare through their employers. 190 00:09:52,640 --> 00:09:55,520 Speaker 1: So I wonder what that percentage will be in twenty years. 191 00:09:56,080 --> 00:10:00,320 Speaker 4: Be a lot lower probably, so yeah, yeah, So a 192 00:10:00,320 --> 00:10:03,640 Speaker 4: word from our friends at Omaha Steaks Omaha Steaks dot com. 193 00:10:03,679 --> 00:10:05,360 Speaker 4: Love their quality. Love him as a gift. I give 194 00:10:05,400 --> 00:10:07,560 Speaker 4: him to my dad all the time because he doesn't 195 00:10:07,600 --> 00:10:10,920 Speaker 4: need stuff, but he loves to have something delicious on 196 00:10:11,000 --> 00:10:14,400 Speaker 4: the grill for himself and his friends. 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It's it's a delicious hunk 215 00:11:01,040 --> 00:11:03,720 Speaker 4: of meat in a tube form. 216 00:11:03,960 --> 00:11:06,640 Speaker 1: It's not disgusting. Oh, you need counseling. 217 00:11:06,840 --> 00:11:10,200 Speaker 4: Say big on gourmet gifts and holiday favorites with Omaha Steaks. 218 00:11:10,280 --> 00:11:12,880 Speaker 4: Visit Omaha steaks dot com for fifty percent off site 219 00:11:12,880 --> 00:11:14,600 Speaker 4: why during their is all the way sail and for 220 00:11:14,640 --> 00:11:17,079 Speaker 4: an extra thirty five bucks off, use the promo code 221 00:11:17,160 --> 00:11:19,440 Speaker 4: Armstrong at checkout. Terms supply Sea site for details. That's 222 00:11:19,440 --> 00:11:22,400 Speaker 4: Omaha Steaks dot com. Slash arms or not slash armstrong. 223 00:11:22,440 --> 00:11:24,960 Speaker 4: You just need a code armstrong at checkout. I like 224 00:11:25,040 --> 00:11:27,000 Speaker 4: hot dogs, love hot dogs. 225 00:11:26,800 --> 00:11:29,439 Speaker 5: And you have many euphemisms for hot dogs, and all 226 00:11:29,480 --> 00:11:31,040 Speaker 5: of them make me want to eat them less. 227 00:11:31,440 --> 00:11:34,920 Speaker 1: Oh why can't you just call it a hot dog? 228 00:11:37,760 --> 00:11:40,600 Speaker 4: I don't know, because this is America, in the First 229 00:11:40,640 --> 00:11:42,480 Speaker 4: Amendment protects my right to free speech. 230 00:11:42,559 --> 00:11:44,960 Speaker 5: That's why tube steak makes me want to not eat 231 00:11:45,000 --> 00:11:48,520 Speaker 5: it night trick it bomb or whatever you call it 232 00:11:48,520 --> 00:11:52,800 Speaker 5: makes me rocket eat it? Nitrate rocket, you've got it all. Hey, 233 00:11:52,840 --> 00:11:55,679 Speaker 5: here's here's the great news about Omaha Steaks, seriously, is 234 00:11:56,440 --> 00:12:00,720 Speaker 5: they're not nitrate rockets. They're the best freaking hot dogs 235 00:12:00,800 --> 00:12:01,280 Speaker 5: I've had in. 236 00:12:01,280 --> 00:12:05,360 Speaker 1: A long time. They're delicious lips in a holes. 237 00:12:05,840 --> 00:12:08,920 Speaker 4: Oh no, no, no, no, nothing to do with them. 238 00:12:08,920 --> 00:12:11,720 Speaker 4: Why well, that has nothing to do with astakes the commercials. 239 00:12:11,840 --> 00:12:15,760 Speaker 4: We're onto discussing hot dogs in general. Okay, you're cheaper 240 00:12:15,800 --> 00:12:19,720 Speaker 4: hot dogs. Oh yeah, that's uh yeah, it's it came 241 00:12:19,760 --> 00:12:22,120 Speaker 4: from a pig, all right, or a cow or something 242 00:12:22,200 --> 00:12:24,280 Speaker 4: or other that was running around the barnyard. Don't worry 243 00:12:24,320 --> 00:12:27,840 Speaker 4: about it. You know, it's it's sausage and legislation. You 244 00:12:27,840 --> 00:12:30,440 Speaker 4: don't want to watch them making it. Of course, they 245 00:12:30,440 --> 00:12:33,200 Speaker 4: don't make any freaking legislation any more. Congress boom. 246 00:12:34,200 --> 00:12:36,600 Speaker 5: So it was it was a part of the pig 247 00:12:36,760 --> 00:12:41,320 Speaker 5: or cow at some point right right, or was stuck 248 00:12:41,440 --> 00:12:42,320 Speaker 5: to it or whatever. 249 00:12:43,200 --> 00:12:45,720 Speaker 4: That's that's why you go with Omaha Steaks folks at 250 00:12:45,720 --> 00:12:49,240 Speaker 4: Omaha Steaks dot com for the quality. Yeah, I will 251 00:12:49,240 --> 00:12:52,440 Speaker 4: never forget growing up in the Chicago area. The hot 252 00:12:52,440 --> 00:12:55,600 Speaker 4: dog is an art form. It's really what goes around 253 00:12:55,600 --> 00:12:58,520 Speaker 4: the hot dog. I love Chicago style dogs. I want 254 00:12:58,520 --> 00:13:02,200 Speaker 4: one right now, earlier today you valued had have to 255 00:13:02,240 --> 00:13:04,120 Speaker 4: have a cheeseburger before the end of the show. I 256 00:13:04,160 --> 00:13:07,240 Speaker 4: want a Chicago style dog right now, more than sex, 257 00:13:08,760 --> 00:13:11,000 Speaker 4: although if sex were offered to me, a hot dog 258 00:13:11,080 --> 00:13:14,960 Speaker 4: would probably be warm long enough anyway. But there's this 259 00:13:15,040 --> 00:13:19,240 Speaker 4: weird thing after after events snack well, hot dog, then 260 00:13:19,280 --> 00:13:21,280 Speaker 4: a little Lovin sure or loven then the hot dog. 261 00:13:21,360 --> 00:13:22,160 Speaker 1: Oh, not much dog. 262 00:13:23,040 --> 00:13:26,120 Speaker 4: You don't want hot dog breaths for one thing, right, clearly, 263 00:13:26,400 --> 00:13:29,920 Speaker 4: I apologize anyway, where was I? Oh, but there's this 264 00:13:29,920 --> 00:13:32,320 Speaker 4: thing in Chicago you can't have ketchup on a hot dog. 265 00:13:32,600 --> 00:13:36,040 Speaker 4: People will mock you having a hot dog with my 266 00:13:36,080 --> 00:13:37,640 Speaker 4: brother in law Once, I said, what would you say 267 00:13:37,679 --> 00:13:39,720 Speaker 4: if I asked if you have any ketchup? You'd say, 268 00:13:39,880 --> 00:13:41,280 Speaker 4: I'd ask, are you eight years old? 269 00:13:42,200 --> 00:13:42,400 Speaker 5: Yeah? 270 00:13:43,360 --> 00:13:45,040 Speaker 1: Yeah, I learned that years ago. I didn't know that 271 00:13:45,080 --> 00:13:45,680 Speaker 1: for a long time. 272 00:13:45,679 --> 00:13:49,000 Speaker 4: But yeah, mustard only or other things, but mustard and 273 00:13:49,160 --> 00:13:51,359 Speaker 4: other things. Yeah. 274 00:13:51,440 --> 00:13:51,680 Speaker 1: Yeah. 275 00:13:51,800 --> 00:13:53,600 Speaker 5: If you're with a guy who says, let's eat the 276 00:13:53,600 --> 00:13:56,000 Speaker 5: hot dog first, find a better lover. 277 00:13:56,200 --> 00:13:59,000 Speaker 1: I I look, it was a slip of the tongue. 278 00:14:00,000 --> 00:14:02,040 Speaker 1: You know what order these things go in. They just 279 00:14:02,160 --> 00:14:04,600 Speaker 1: slip up the tongue. Okay, we got more on the way. 280 00:14:04,640 --> 00:14:05,040 Speaker 1: Stay here. 281 00:14:06,280 --> 00:14:12,320 Speaker 6: Finally, personal care brand Dove has unveiled its Holiday Treats collection, 282 00:14:12,679 --> 00:14:16,560 Speaker 6: which includes a sugar cookie anti persperant. It's the perfect 283 00:14:16,600 --> 00:14:18,920 Speaker 6: gift for your spouse or loved one who is not 284 00:14:19,040 --> 00:14:24,480 Speaker 6: yet covered in ants. 285 00:14:26,240 --> 00:14:28,280 Speaker 4: I thought he was going to say something to the 286 00:14:28,360 --> 00:14:32,320 Speaker 4: effective who wants to be attacked by bees. Wow, I 287 00:14:32,480 --> 00:14:35,240 Speaker 4: do oh Man had a snicker doodle the other night 288 00:14:35,240 --> 00:14:36,720 Speaker 4: for the first time in a long time. That's a 289 00:14:36,840 --> 00:14:40,680 Speaker 4: damn fine cookie. More food talk be great after your 290 00:14:40,680 --> 00:14:44,080 Speaker 4: hot dog. If you've been listening all half hour. Katie 291 00:14:44,120 --> 00:14:48,760 Speaker 4: mentioned this in a headline earlier Hangover Hungover Russians thwarted 292 00:14:48,840 --> 00:14:52,360 Speaker 4: Ukraine's Pearl Harbor style attack on Moscow. 293 00:14:52,640 --> 00:14:55,120 Speaker 1: So do you remember when Ukraine pulled off. 294 00:14:54,920 --> 00:14:58,240 Speaker 5: One of the great military feats in world military history 295 00:14:58,680 --> 00:15:02,960 Speaker 5: when they shipped all those drones into Russia. They were 296 00:15:03,040 --> 00:15:06,320 Speaker 5: laying in storage containers and then they all came out at. 297 00:15:06,200 --> 00:15:07,840 Speaker 1: The same time and blew up a whole bunch of 298 00:15:07,880 --> 00:15:09,800 Speaker 1: their planes and it was absolutely amazing. 299 00:15:10,200 --> 00:15:13,160 Speaker 5: It was supposed to be And I don't quite understand 300 00:15:13,160 --> 00:15:15,040 Speaker 5: if this was supposed to happen at exactly the same 301 00:15:15,080 --> 00:15:16,960 Speaker 5: time or like the next day or whatever, But anyway, 302 00:15:17,720 --> 00:15:23,600 Speaker 5: they had a Pearl Harbor style attack on Moscow, the 303 00:15:23,680 --> 00:15:27,320 Speaker 5: biggest city in Russia. That was supposed to happen, but 304 00:15:27,400 --> 00:15:30,600 Speaker 5: it was the day after one of their big holidays, 305 00:15:30,680 --> 00:15:34,000 Speaker 5: Russian Victory Day on May ninth. 306 00:15:34,120 --> 00:15:35,240 Speaker 1: The idea was to. 307 00:15:37,000 --> 00:15:43,080 Speaker 4: Humiliate the Russians on their big holiday ah, but so 308 00:15:43,320 --> 00:15:49,640 Speaker 4: many Russians had gotten to remember. The drones were moved 309 00:15:49,680 --> 00:15:54,360 Speaker 4: around by unsuspecting truck drivers, Russian truck drivers who didn't 310 00:15:54,360 --> 00:15:54,920 Speaker 4: know what they. 311 00:15:54,760 --> 00:15:55,600 Speaker 1: Were driving around. 312 00:15:55,640 --> 00:15:57,880 Speaker 4: They did just driving shipping containters like to do all 313 00:15:57,920 --> 00:15:59,080 Speaker 4: the time, dropped them off. 314 00:15:59,560 --> 00:16:00,400 Speaker 1: They didn't know they're doing. 315 00:16:00,560 --> 00:16:04,400 Speaker 4: So many Russians got so drunk on which of our holiday. 316 00:16:04,480 --> 00:16:07,480 Speaker 1: This was that they were hungover and didn't go to work. 317 00:16:07,320 --> 00:16:10,080 Speaker 5: The next day, and enough of the shipping containers didn't 318 00:16:10,120 --> 00:16:13,560 Speaker 5: get shipped that Ukraine had to call off the attack 319 00:16:13,560 --> 00:16:18,120 Speaker 5: and it was going to be a major military moment 320 00:16:18,280 --> 00:16:21,240 Speaker 5: but didn't happen because too many drunk, hungover Russians. 321 00:16:22,040 --> 00:16:27,440 Speaker 1: Whaturiels. Wow, the twists and turns of history are amazing. 322 00:16:33,520 --> 00:16:37,280 Speaker 4: You know, the guy who left is left the door 323 00:16:37,320 --> 00:16:39,840 Speaker 4: when Lincoln was watching the play it was supposed to 324 00:16:39,880 --> 00:16:41,280 Speaker 4: be there, went to the bar. I mean, there's just 325 00:16:41,320 --> 00:16:43,960 Speaker 4: so many things like that that maybe Henah, howffen it's 326 00:16:43,960 --> 00:16:46,560 Speaker 4: always has to do with drinking, But there's so many 327 00:16:46,560 --> 00:16:49,400 Speaker 4: things like that history and the Civil War, the dropped 328 00:16:49,440 --> 00:16:51,400 Speaker 4: secret plans that were wrapped around a cigar. 329 00:16:51,720 --> 00:16:54,600 Speaker 1: I mean, look that up. It changed the whole war. 330 00:16:54,640 --> 00:16:56,240 Speaker 1: It's just stuff like that happens a lot. 331 00:16:56,720 --> 00:16:59,040 Speaker 4: I was going to bring up the Hessians were drunk 332 00:16:59,360 --> 00:17:03,960 Speaker 4: there in Trent when washing across the Delaware, right, yeah, 333 00:17:04,040 --> 00:17:04,520 Speaker 4: the Delaware. 334 00:17:04,600 --> 00:17:05,399 Speaker 1: Yeah. 335 00:17:05,080 --> 00:17:08,399 Speaker 4: Anyway, So coming up a couple of notes from science 336 00:17:08,400 --> 00:17:12,119 Speaker 4: and follow up on our Slutty Slutty Mammals discussion of yesterday. 337 00:17:12,720 --> 00:17:15,560 Speaker 4: Really interesting though, about the nature of human beings in 338 00:17:15,600 --> 00:17:17,360 Speaker 4: reproduction and how it's. 339 00:17:17,160 --> 00:17:19,000 Speaker 1: Gone rather sideways lately. 340 00:17:19,080 --> 00:17:22,040 Speaker 4: Perhaps you've heard that and a separate question from the 341 00:17:22,119 --> 00:17:25,000 Speaker 4: world of science. As a former hockey player, I was 342 00:17:25,760 --> 00:17:30,080 Speaker 4: especially fascinated by this. I didn't realize scientists have long 343 00:17:30,280 --> 00:17:35,320 Speaker 4: disagreed with why ice is slippery, and there have been 344 00:17:35,400 --> 00:17:36,879 Speaker 4: various theories posited. 345 00:17:37,200 --> 00:17:39,520 Speaker 1: But then they realize, no, that doesn't make any sense. 346 00:17:39,560 --> 00:17:42,480 Speaker 4: That so they finally have what they think is a 347 00:17:42,480 --> 00:17:45,040 Speaker 4: pretty good explanation for why ice is slippery. 348 00:17:45,240 --> 00:17:48,800 Speaker 1: Why ice is slippery? I feel like I have an answer, 349 00:17:48,840 --> 00:17:55,480 Speaker 1: but it must not be good enough, do you Okay? Yeah? 350 00:17:55,560 --> 00:17:59,520 Speaker 4: It is no doubt anybody's ever fallen on their RS 351 00:17:59,520 --> 00:18:03,480 Speaker 4: can attest that I have one particularly hilarious fall on 352 00:18:03,520 --> 00:18:03,880 Speaker 4: the ice. 353 00:18:03,920 --> 00:18:05,800 Speaker 5: I'll have to tell about when we get to that story. 354 00:18:05,960 --> 00:18:07,800 Speaker 5: Have you missed a segment get the podcast Armstrong and 355 00:18:07,840 --> 00:18:08,639 Speaker 5: Getty on demand. 356 00:18:11,600 --> 00:18:13,120 Speaker 4: Armstrong and Getty. 357 00:18:14,480 --> 00:18:18,439 Speaker 6: Grocery chains Stu Leonard says gained attention online after it 358 00:18:18,440 --> 00:18:23,119 Speaker 6: began offering vanilla sauce serve dipped in melted butter so, yeah, 359 00:18:23,160 --> 00:18:25,720 Speaker 6: we're gonna need those Obamacare subsidies. 360 00:18:28,760 --> 00:18:31,760 Speaker 5: That might fit into your story about scientists have figured 361 00:18:31,800 --> 00:18:34,240 Speaker 5: out why ice is slippery. I don't quite understand how 362 00:18:34,240 --> 00:18:38,359 Speaker 5: you could dip an ice cream cone into melted butter 363 00:18:39,640 --> 00:18:43,359 Speaker 5: and have that work. Seems like it would just melt 364 00:18:43,400 --> 00:18:45,800 Speaker 5: your ice cream cone into the melted butter and you'd 365 00:18:45,840 --> 00:18:48,960 Speaker 5: end up with a bakingt Now you'd quickly you quick 366 00:18:49,040 --> 00:18:52,119 Speaker 5: dip it in the butter hardens on your ice cream, 367 00:18:52,480 --> 00:18:55,040 Speaker 5: and you have an inedible thing nobody should ever put 368 00:18:55,080 --> 00:18:55,720 Speaker 5: in their mouth. 369 00:18:56,680 --> 00:18:59,720 Speaker 1: Yeah, I don't. It's funny. 370 00:19:00,040 --> 00:19:03,439 Speaker 4: I hear about that, and I think, oh, another dumb 371 00:19:03,520 --> 00:19:06,760 Speaker 4: novelty ice cream flavor. People who are like delighted by 372 00:19:06,760 --> 00:19:10,919 Speaker 4: that over and over again, garlic ice cream, you know, 373 00:19:11,080 --> 00:19:12,880 Speaker 4: pickle flavored ice cream. 374 00:19:12,920 --> 00:19:16,760 Speaker 1: They're happier than I am. They're lucky. I should them. 375 00:19:16,920 --> 00:19:19,000 Speaker 1: They are bear flavored pizza. 376 00:19:19,400 --> 00:19:22,800 Speaker 4: Yahd people will always react with joy to those stories. 377 00:19:22,840 --> 00:19:25,679 Speaker 1: You're right, they are happier than you are. Yeah, huh. 378 00:19:25,720 --> 00:19:28,840 Speaker 4: Anyway, so we talked about this scientist to laugh aboot 379 00:19:28,880 --> 00:19:31,000 Speaker 4: every that's what she said, joke. 380 00:19:32,119 --> 00:19:34,720 Speaker 1: Some of them are very amusing, Oh, some of them are. 381 00:19:34,960 --> 00:19:37,480 Speaker 4: Some of them are you remember, for a while we 382 00:19:37,640 --> 00:19:40,920 Speaker 4: went with behind the scenes just like in prison, which 383 00:19:41,000 --> 00:19:44,200 Speaker 4: which is a tougher one to find. It's more it's 384 00:19:44,200 --> 00:19:46,200 Speaker 4: a more advanced form of that's what she said. 385 00:19:46,320 --> 00:19:49,880 Speaker 5: I got a big laugh out of My brothers got 386 00:19:49,880 --> 00:19:52,280 Speaker 5: our old coworker Jay told us this one one of 387 00:19:52,320 --> 00:19:53,560 Speaker 5: the funniest things I've ever heard. 388 00:19:53,920 --> 00:19:54,880 Speaker 1: His thing to say. 389 00:19:54,920 --> 00:19:57,639 Speaker 5: If somebody walked into a room, so he's having a 390 00:19:57,680 --> 00:20:02,080 Speaker 5: conversation with somebody, somebody up to him, they don't know 391 00:20:02,119 --> 00:20:05,480 Speaker 5: what you're talking about, and you just say, and that's why. 392 00:20:05,280 --> 00:20:08,080 Speaker 1: Women shouldn't pull vault anyway, what can I do for you? Right? 393 00:20:08,480 --> 00:20:14,960 Speaker 4: Hilarious, It's very very funny. Was that Jay Or was 394 00:20:15,000 --> 00:20:18,200 Speaker 4: that Tim? Tim the sales guy? That was j Okay? 395 00:20:18,640 --> 00:20:21,800 Speaker 4: So anyway, we were talking yesterday about how humans rank 396 00:20:21,960 --> 00:20:26,200 Speaker 4: on the scale of monogamy compared to other mammals. 397 00:20:26,280 --> 00:20:27,680 Speaker 1: It was a fascinating discussion. 398 00:20:28,160 --> 00:20:30,040 Speaker 4: At the top of the list, the California deer mouse 399 00:20:30,119 --> 00:20:34,440 Speaker 4: is apparently one monogamous and at the bottom is the 400 00:20:34,640 --> 00:20:39,480 Speaker 4: slutty slutty soay sheep native to Scotland that just will 401 00:20:39,520 --> 00:20:44,040 Speaker 4: mate with anything that wanders by and is pretty interesting. 402 00:20:44,080 --> 00:20:47,520 Speaker 4: We got some good email comments too that we're we're intriguing. 403 00:20:47,640 --> 00:20:51,119 Speaker 4: Are you using the term mate and have sex interchangeably? 404 00:20:52,800 --> 00:20:53,040 Speaker 1: Yes? 405 00:20:54,040 --> 00:20:57,240 Speaker 4: Yeah, although, as we discussed yesterday, with humans, it's much 406 00:20:57,240 --> 00:21:01,680 Speaker 4: more complicated than other beasts because A, we have birth control. 407 00:21:02,480 --> 00:21:07,439 Speaker 4: B we might copulate with multiple partners and then be 408 00:21:07,560 --> 00:21:10,879 Speaker 4: monogamous once we started producing children. See might have just 409 00:21:10,920 --> 00:21:15,679 Speaker 4: done three shots at yegermeister, right, yeah, unfortunate anyway, it 410 00:21:15,720 --> 00:21:18,359 Speaker 4: can skew the results. But so I did it a 411 00:21:18,440 --> 00:21:23,080 Speaker 4: little digging about, all right, how how monogamous are human 412 00:21:23,119 --> 00:21:30,359 Speaker 4: beings meant to be biologically? Because in you know, being 413 00:21:30,359 --> 00:21:34,080 Speaker 4: a human, we have societal pressures as well, cultural norms, religion, 414 00:21:34,320 --> 00:21:35,960 Speaker 4: that sort of thing. We have a word for that 415 00:21:36,000 --> 00:21:39,639 Speaker 4: out of Marxism. This is a social construct. Oh, the 416 00:21:39,840 --> 00:21:43,520 Speaker 4: patriarchy is pushed upon you. Some shut up now, yeah, 417 00:21:43,560 --> 00:21:47,959 Speaker 4: please be quiet, you you woke idiots. Anyway, so I 418 00:21:48,080 --> 00:21:51,040 Speaker 4: just did a little digging about what do biologists think 419 00:21:51,119 --> 00:21:52,480 Speaker 4: we're designed to be? 420 00:21:53,080 --> 00:21:55,960 Speaker 1: And the answer is pretty interesting. 421 00:21:57,920 --> 00:22:02,720 Speaker 4: Anthropology doesn't really get we have a clear answer to 422 00:22:02,800 --> 00:22:05,240 Speaker 4: the question, are we meant to be monogamous or not? 423 00:22:06,560 --> 00:22:12,200 Speaker 4: Historically most cultures have allowed polygamy, but within such cultures, 424 00:22:12,280 --> 00:22:16,240 Speaker 4: most people are monogamous. In the numerous cultures where polygamy 425 00:22:16,280 --> 00:22:18,000 Speaker 4: is a function of wealth, there are no doubt many 426 00:22:18,000 --> 00:22:20,800 Speaker 4: monogamous men who would be polygamous if they could buy 427 00:22:20,800 --> 00:22:24,200 Speaker 4: more wives. And then, of course there are the rare 428 00:22:24,280 --> 00:22:30,480 Speaker 4: polyandrous cultures where one woman may have multiple husbands. Other primates, though, 429 00:22:30,640 --> 00:22:33,840 Speaker 4: offer insights into our human nature. Among the hundreds of 430 00:22:34,560 --> 00:22:39,120 Speaker 4: primate species, by the way, worth mentioning, every single damn 431 00:22:39,200 --> 00:22:45,040 Speaker 4: one of them has two sexes, male and female. Anyway, 432 00:22:46,160 --> 00:22:51,440 Speaker 4: Some are polygamous, including are close relatives chimps and baboons. 433 00:22:53,680 --> 00:22:57,280 Speaker 4: Others are monogamous, like gibbons and marmo sets. Each group 434 00:22:57,359 --> 00:23:00,600 Speaker 4: has a different cluster of biological and behavioral traits. Here's 435 00:23:00,600 --> 00:23:05,120 Speaker 4: where I thought it gets really interesting. Among your polyamorous primates. 436 00:23:05,800 --> 00:23:08,679 Speaker 4: The males typically spend much of their time competing for 437 00:23:08,800 --> 00:23:12,480 Speaker 4: high rank in dominance hierarchies, so that gets them to 438 00:23:12,520 --> 00:23:16,120 Speaker 4: mate with the hot hot you know, lady chimps for instance, 439 00:23:16,160 --> 00:23:19,040 Speaker 4: So they drive a cool car or have nice clothes 440 00:23:19,520 --> 00:23:23,480 Speaker 4: right exactly, fly private anyway, that gives them mating access 441 00:23:23,520 --> 00:23:24,080 Speaker 4: to females. 442 00:23:24,440 --> 00:23:25,960 Speaker 1: So in those speed. 443 00:23:25,800 --> 00:23:29,920 Speaker 5: Mating access is not the sexiest urnament I know, I know, 444 00:23:30,240 --> 00:23:30,480 Speaker 5: I know. 445 00:23:32,240 --> 00:23:35,800 Speaker 4: Males are so in these species, the polyamorous ones. Males 446 00:23:35,840 --> 00:23:41,040 Speaker 4: are far more aggressive, much bigger, heavier, and more muscular 447 00:23:41,119 --> 00:23:44,480 Speaker 4: than the females, and they have bigger canine teeth the 448 00:23:44,560 --> 00:23:48,960 Speaker 4: better to slash an opponent with Male baboons, for example, 449 00:23:49,080 --> 00:23:52,800 Speaker 4: have twice the body weight in canine length of the females. 450 00:23:52,960 --> 00:23:55,880 Speaker 4: They are literally twice as big as the females. Such 451 00:23:55,920 --> 00:23:59,240 Speaker 4: primates are often called, for good reason tournament species. 452 00:23:59,560 --> 00:24:04,040 Speaker 5: Ooh, tournament species. Males in these bigger canine teeth. Could 453 00:24:04,040 --> 00:24:04,360 Speaker 5: I get those? 454 00:24:04,359 --> 00:24:06,280 Speaker 1: Implanet? Oh absolutely you could? 455 00:24:06,359 --> 00:24:09,960 Speaker 4: Yeah, absolutely, or order away for this supplement guaranteed to work. 456 00:24:09,920 --> 00:24:10,800 Speaker 1: Good luck returning it. 457 00:24:11,640 --> 00:24:14,840 Speaker 4: So, males in these species have higher metabolic rates in 458 00:24:14,920 --> 00:24:18,800 Speaker 4: shorter lifespans than the females, and they basically put zero 459 00:24:18,840 --> 00:24:21,760 Speaker 4: effort into caring for kids. In other words, all the 460 00:24:21,800 --> 00:24:25,240 Speaker 4: female gets is the male's genes, and the females select 461 00:24:25,240 --> 00:24:27,800 Speaker 4: for males with good genes period, which has led to 462 00:24:28,359 --> 00:24:33,040 Speaker 4: the evolution of conspicuous, conspicuous, costly displays in males that 463 00:24:33,119 --> 00:24:38,160 Speaker 4: advertise good genes, flamboyant facial coloration, big capes of hair, 464 00:24:38,280 --> 00:24:42,840 Speaker 4: silver backs. They're the primate equivalents of peacocks with their 465 00:24:42,960 --> 00:24:43,760 Speaker 4: beautiful feathers. 466 00:24:43,800 --> 00:24:47,600 Speaker 5: I always thought my flamboyant facial coloration was working for me. 467 00:24:49,240 --> 00:24:53,760 Speaker 1: Because bright red when I get mad, right right, ooh, 468 00:24:53,880 --> 00:24:56,880 Speaker 1: he's sexy. Look how angry he is now. 469 00:24:56,920 --> 00:25:00,800 Speaker 4: Because the fertile females will mate with multi to pull males, 470 00:25:02,040 --> 00:25:07,199 Speaker 4: tisk tisk, male mail competition extends to sperm competition. So 471 00:25:07,480 --> 00:25:13,960 Speaker 4: by primate standards, polygamous male primates have large testes as 472 00:25:14,000 --> 00:25:17,120 Speaker 4: a percentage of body weight and high sperm production. 473 00:25:17,800 --> 00:25:18,880 Speaker 1: And they will happily. 474 00:25:20,160 --> 00:25:23,199 Speaker 4: Yeah actually, and they'll happily mate with anyone in the 475 00:25:23,200 --> 00:25:26,680 Speaker 4: county who is ovulating. So they walk around with their 476 00:25:26,720 --> 00:25:28,600 Speaker 4: long incisors, their huge size. 477 00:25:28,640 --> 00:25:30,120 Speaker 1: They're big balls. The rest of it. 478 00:25:30,760 --> 00:25:36,240 Speaker 4: Now, among your monogamous pair bonding primates, who's ovulating them 479 00:25:36,240 --> 00:25:41,040 Speaker 4: ready for a mating episode. Critically, the males do much 480 00:25:41,080 --> 00:25:44,320 Speaker 4: of the infant care. Thus you don't see a male 481 00:25:44,400 --> 00:25:47,399 Speaker 4: indiscriminately mating left and right, or fighting others for a 482 00:25:47,480 --> 00:25:49,800 Speaker 4: chance to do so, since he'll be doing a lot 483 00:25:49,840 --> 00:25:50,120 Speaker 4: of work. 484 00:25:50,160 --> 00:25:52,320 Speaker 1: If there's a child, I gotta stack a laundry. 485 00:25:52,320 --> 00:25:56,480 Speaker 4: You wouldn't believe he'll be raising a family in these primates, 486 00:25:56,480 --> 00:25:59,600 Speaker 4: there isn't a high degree of sexual dimorphism, meaning huge 487 00:25:59,640 --> 00:26:04,040 Speaker 4: different in body sized, musculature, metabolism, and lifespan, and males 488 00:26:04,080 --> 00:26:07,840 Speaker 4: don't have those garish secondary sexual characteristics like the polygamous 489 00:26:07,840 --> 00:26:12,560 Speaker 4: species does. Testes or smaller sperm count, low mating infrequent, 490 00:26:13,040 --> 00:26:14,880 Speaker 4: and these profiles are consistent. 491 00:26:15,280 --> 00:26:17,200 Speaker 1: If ten seconds into. 492 00:26:17,119 --> 00:26:19,720 Speaker 4: Watching a newly discovered type of prime meat you see 493 00:26:19,760 --> 00:26:21,679 Speaker 4: that the males are twice the size of females and 494 00:26:21,760 --> 00:26:24,200 Speaker 4: have flashing neon noses, the issue is settled. 495 00:26:24,200 --> 00:26:25,400 Speaker 1: It's a polygamous species. 496 00:26:25,720 --> 00:26:27,920 Speaker 4: If you can't, if it takes a minute to tell 497 00:26:27,920 --> 00:26:30,160 Speaker 4: the difference between the sexes, they're monogamous. 498 00:26:30,440 --> 00:26:34,680 Speaker 5: Well, what I think is, did this just both ways 499 00:26:34,800 --> 00:26:37,320 Speaker 5: worked evolutionarily speaking, and. 500 00:26:39,400 --> 00:26:40,960 Speaker 1: Could have gone either way? It just went one way 501 00:26:41,000 --> 00:26:43,840 Speaker 1: for one reason. Or is it that particular animal that 502 00:26:43,960 --> 00:26:45,280 Speaker 1: way better than the other way. 503 00:26:45,720 --> 00:26:47,840 Speaker 4: Don't know enough to answer that question, but it's a 504 00:26:47,840 --> 00:26:48,320 Speaker 4: good one. 505 00:26:49,000 --> 00:26:52,679 Speaker 5: I set a super super into evolutionary stuff and watches 506 00:26:52,760 --> 00:26:55,800 Speaker 5: gazillions of videos about it, and I have learned from 507 00:26:55,880 --> 00:27:01,400 Speaker 5: him that it's not near you'd think, after all these 508 00:27:01,400 --> 00:27:03,639 Speaker 5: gazillions of years, we'd like really perfected it. There's a 509 00:27:03,640 --> 00:27:06,800 Speaker 5: lot of luck involved in some ways, there's two ways. 510 00:27:06,920 --> 00:27:09,159 Speaker 5: Sometimes there's two ways to get to the same point, 511 00:27:09,240 --> 00:27:10,680 Speaker 5: and this way is as good as that way. 512 00:27:12,320 --> 00:27:15,000 Speaker 4: So human beings, you know, in one part, a different 513 00:27:15,080 --> 00:27:17,360 Speaker 4: human species did it this way, and this human species 514 00:27:17,400 --> 00:27:21,560 Speaker 4: did it this way, not for any particular reason, just 515 00:27:21,680 --> 00:27:24,360 Speaker 4: kind of worked out that way. Yeah, So let's bring 516 00:27:24,359 --> 00:27:28,560 Speaker 4: it home to humans now. So you get your polygamous 517 00:27:28,600 --> 00:27:30,960 Speaker 4: with their big incisors and their huge size and their 518 00:27:30,960 --> 00:27:33,120 Speaker 4: short life spans the rest of it. Then you got 519 00:27:33,160 --> 00:27:36,160 Speaker 4: the entirely monogamous. They're much harder to tell apart, blah 520 00:27:36,160 --> 00:27:39,280 Speaker 4: blah blah. So by these various biological measures, are human 521 00:27:40,640 --> 00:27:46,359 Speaker 4: a pair bonding or a tournament species, neither Across populations, 522 00:27:46,480 --> 00:27:49,200 Speaker 4: men are roughly ten percent taller and twenty percent heavier 523 00:27:49,240 --> 00:27:52,040 Speaker 4: than women. We need twenty percent more calories and live 524 00:27:52,080 --> 00:27:57,280 Speaker 4: about six percent shorter, more sexually dimorphic than monogamous species, 525 00:27:57,680 --> 00:28:02,199 Speaker 4: less than polygamous species, or over compared with say, monogamous 526 00:28:02,200 --> 00:28:07,200 Speaker 4: gibbons human billy gibbons, for instance, of zz top human 527 00:28:07,240 --> 00:28:10,520 Speaker 4: males have bigger testes and higher sperm counts, but pale 528 00:28:10,520 --> 00:28:12,320 Speaker 4: in comparison to polygamous chimps. 529 00:28:12,440 --> 00:28:14,080 Speaker 1: Measure after measure, it's the same. 530 00:28:14,480 --> 00:28:17,200 Speaker 4: Turns out that we aren't monogamous or polygamous by nature, 531 00:28:17,200 --> 00:28:20,119 Speaker 4: as everyone from poets to divorce attorneys can attest, we 532 00:28:20,160 --> 00:28:23,880 Speaker 4: are by nature a profoundly confused species somewhere in between. 533 00:28:24,040 --> 00:28:26,280 Speaker 5: Well, we have because we have the ability to think 534 00:28:26,320 --> 00:28:29,600 Speaker 5: and make decisions and let our instincts run wild or 535 00:28:29,720 --> 00:28:34,920 Speaker 5: curtail our instincts. If we'd come up with a. 536 00:28:33,600 --> 00:28:39,000 Speaker 4: Worldview that convinces this, we should. Indeed, yeah, indeed, monkeys 537 00:28:39,000 --> 00:28:41,360 Speaker 4: are not thinking about what would Jesus do when it 538 00:28:41,400 --> 00:28:43,800 Speaker 4: comes to, you know, having sex with another monkey. 539 00:28:44,240 --> 00:28:45,160 Speaker 1: They should, but they don't. 540 00:28:46,400 --> 00:28:49,400 Speaker 4: More on marriage and coupling and how it's changed recently, 541 00:28:49,440 --> 00:28:52,040 Speaker 4: after a word from our friends at web Root, Oh, 542 00:28:52,040 --> 00:28:55,240 Speaker 4: this is such a good idea. Whether it's you are 543 00:28:55,240 --> 00:28:58,600 Speaker 4: retired at constantly people trying to scam you, or maybe 544 00:28:58,600 --> 00:29:01,480 Speaker 4: you're given your mom tablet or something like that you're 545 00:29:01,520 --> 00:29:05,800 Speaker 4: worried about her web security. Webroot total protection protects the 546 00:29:05,920 --> 00:29:07,240 Speaker 4: whole family. 547 00:29:08,440 --> 00:29:10,680 Speaker 5: Yeah, that is pretty cool that you can do that. 548 00:29:12,040 --> 00:29:16,120 Speaker 5: There's VPN for privacy, cloud backup for easy restore. It's 549 00:29:16,120 --> 00:29:18,520 Speaker 5: an all in one protection for individuals or families as 550 00:29:18,560 --> 00:29:20,080 Speaker 5: Joe mentioned, and right now you can save up to 551 00:29:20,120 --> 00:29:23,680 Speaker 5: sixty percent for a limited time. With cybercrime spiking right now, 552 00:29:24,120 --> 00:29:27,280 Speaker 5: man with the anti virus, the built in password manager, 553 00:29:27,560 --> 00:29:30,160 Speaker 5: the identity protection. The way they're doing they're monitoring the 554 00:29:30,240 --> 00:29:32,280 Speaker 5: dark web to see if your information has already been 555 00:29:32,320 --> 00:29:34,440 Speaker 5: stolen stolen? How handy is that? 556 00:29:35,120 --> 00:29:35,400 Speaker 1: Yeah? 557 00:29:35,400 --> 00:29:38,360 Speaker 4: They call it a webroot total protection for a reason. 558 00:29:39,040 --> 00:29:39,480 Speaker 1: Don't wait. 559 00:29:39,520 --> 00:29:42,640 Speaker 4: Protect your device's privacy and identity this holiday season into 560 00:29:42,640 --> 00:29:44,960 Speaker 4: twenty twenty six for less than seventy five bucks. Right now, 561 00:29:45,000 --> 00:29:47,440 Speaker 4: that's sixty percent off for a limited time. Go to 562 00:29:47,440 --> 00:29:50,960 Speaker 4: webroot dot com slash armstrong. That's webroot dot com slash armstrong. 563 00:29:51,000 --> 00:29:52,840 Speaker 4: This offer will not last act. Now live a better 564 00:29:52,840 --> 00:29:56,960 Speaker 4: digital life with webroot. Only hippies who are trying to 565 00:29:56,960 --> 00:29:59,240 Speaker 4: get laid are going around trying to comcease. You know, 566 00:29:59,240 --> 00:30:02,400 Speaker 4: we're not meant to be monogamous. That's a social construct. 567 00:30:03,000 --> 00:30:05,719 Speaker 1: What ever? Shut up? Yeah, you know what? 568 00:30:05,920 --> 00:30:10,240 Speaker 4: Somebody uses the term social construct for anything. I immediately think, 569 00:30:10,480 --> 00:30:13,080 Speaker 4: all right, your worldview came from. 570 00:30:12,880 --> 00:30:14,080 Speaker 1: Some radical professor. 571 00:30:15,200 --> 00:30:17,760 Speaker 4: It exists, but it doesn't exist nearly as much as 572 00:30:17,840 --> 00:30:22,400 Speaker 4: you think it exists. There chum anyway, So really interesting 573 00:30:23,960 --> 00:30:26,360 Speaker 4: demographic data is coming out. We've talked about it before 574 00:30:26,440 --> 00:30:33,080 Speaker 4: about women's changing expectations and politics and desire to get 575 00:30:33,120 --> 00:30:35,880 Speaker 4: married and desire to have kids and that sort of thing. 576 00:30:36,760 --> 00:30:40,880 Speaker 4: And as we mentioned yesterday, I think it was men, 577 00:30:41,040 --> 00:30:45,680 Speaker 4: particularly conservative men, are as interested in having children as 578 00:30:45,760 --> 00:30:48,719 Speaker 4: they have ever been. Well that's an overstatement, but certainly 579 00:30:48,720 --> 00:30:50,080 Speaker 4: compared to like twenty thirty years ago. 580 00:30:50,160 --> 00:30:51,360 Speaker 1: They are absolutely young. 581 00:30:51,400 --> 00:30:57,080 Speaker 4: Men are interested in it, and women are way less interested. 582 00:30:58,360 --> 00:31:00,920 Speaker 4: And the more liberal they are, the interested they are 583 00:31:00,920 --> 00:31:04,600 Speaker 4: in having children. And there's this imbalanced mismatch between men 584 00:31:05,000 --> 00:31:07,640 Speaker 4: and women and their desire to get coupled and have 585 00:31:07,760 --> 00:31:09,920 Speaker 4: children that sort of thing. And nobody knows where this 586 00:31:10,040 --> 00:31:11,680 Speaker 4: is going, or if it's going to be a long 587 00:31:11,760 --> 00:31:15,360 Speaker 4: term trend or whatever. The gaps among liberal women are 588 00:31:15,600 --> 00:31:19,560 Speaker 4: just crazy. They've changed completely in twenty years thirty years 589 00:31:19,640 --> 00:31:24,400 Speaker 4: in their attitudes. What seems to be changing is women's expectations, 590 00:31:24,400 --> 00:31:28,160 Speaker 4: and the likely culprit is men's prospects rights. 591 00:31:28,200 --> 00:31:28,640 Speaker 1: Who is this? 592 00:31:28,760 --> 00:31:32,200 Speaker 4: She writes really well Emily Joshinsky for The Washington Post. 593 00:31:34,600 --> 00:31:35,680 Speaker 4: Do we have time for this? 594 00:31:36,320 --> 00:31:36,720 Speaker 1: Ladies? 595 00:31:37,080 --> 00:31:38,920 Speaker 5: You need to find one of those tournament dudes with 596 00:31:38,920 --> 00:31:40,080 Speaker 5: the really big testicles. 597 00:31:40,920 --> 00:31:46,800 Speaker 4: Wow wow, Okay, great historical data shows that when men's 598 00:31:46,920 --> 00:31:51,080 Speaker 4: educational economic outcomes decline, it is women without a college 599 00:31:51,120 --> 00:31:57,160 Speaker 4: degree who experienced the sharpest declines in marriage rates. And 600 00:31:57,240 --> 00:31:59,880 Speaker 4: women's perceived appeal as marriage partners is not declining, but 601 00:32:00,120 --> 00:32:03,480 Speaker 4: men's is. And what Emily brings home And maybe when 602 00:32:03,520 --> 00:32:05,520 Speaker 4: we have more time, we'll talk about this at greater length. 603 00:32:06,280 --> 00:32:10,280 Speaker 4: But she goes into the whole war on boys in schools, 604 00:32:10,520 --> 00:32:16,160 Speaker 4: the de industrialization efforts to make schools just custom made 605 00:32:16,160 --> 00:32:18,760 Speaker 4: for girls and act like boys are unhealthy, And I 606 00:32:18,800 --> 00:32:21,520 Speaker 4: love this last part. The trend line of women reporting 607 00:32:21,520 --> 00:32:24,360 Speaker 4: a declining desire to marry me indeed reflect pessimism about 608 00:32:24,400 --> 00:32:27,680 Speaker 4: their prospects, rather than the institution itself, and not for 609 00:32:27,760 --> 00:32:30,280 Speaker 4: ideological reasons so much as crack practical ones. 610 00:32:30,640 --> 00:32:31,800 Speaker 1: If the last several. 611 00:32:31,560 --> 00:32:34,520 Speaker 4: Decades have taught us anything about the battle of the sexes, 612 00:32:34,800 --> 00:32:37,320 Speaker 4: we should remember that the war on boys is also 613 00:32:37,440 --> 00:32:38,680 Speaker 4: a war on girls. 614 00:32:40,400 --> 00:32:42,920 Speaker 5: Yeah, you know, I have more to say about that, 615 00:32:43,000 --> 00:32:45,120 Speaker 5: because I know a lot of women who talk about 616 00:32:45,120 --> 00:32:49,000 Speaker 5: the poor pickings out there for dudes. You know, this 617 00:32:49,160 --> 00:32:51,400 Speaker 5: is portrayed as women don't want to get married. Okay, 618 00:32:51,440 --> 00:32:53,240 Speaker 5: maybe they don't want to get married to dudes who 619 00:32:53,280 --> 00:32:55,320 Speaker 5: live with their parents and play video games all day 620 00:32:55,840 --> 00:32:59,600 Speaker 5: and who have been systematically emasculated by you and the 621 00:32:59,640 --> 00:33:01,040 Speaker 5: schools you designed. 622 00:33:02,200 --> 00:33:08,120 Speaker 1: Yeah, that's a complicated mix. And amen from Katie there. Yeah, absolutely, yeah, 623 00:33:08,240 --> 00:33:11,280 Speaker 1: nice job. The war on boys is a war on girls. 624 00:33:11,640 --> 00:33:13,720 Speaker 4: My band is going to be my rock band, My 625 00:33:13,800 --> 00:33:16,320 Speaker 4: heavy rock band is going to be called Tournament Testicles. 626 00:33:16,760 --> 00:33:18,480 Speaker 4: That'd be a good name for a base I'm not 627 00:33:18,640 --> 00:33:21,000 Speaker 4: going to your shows. I don't care if there's no cover, 628 00:33:21,360 --> 00:33:23,600 Speaker 4: I'm not coming. You got to see the logo. 629 00:33:23,480 --> 00:33:24,320 Speaker 1: All right? Stay here. 630 00:33:28,360 --> 00:33:31,640 Speaker 5: Oh we're having an off air conversation about the last topic. 631 00:33:31,680 --> 00:33:34,120 Speaker 5: And I used the term orchidometer, and Katie you looked 632 00:33:34,120 --> 00:33:37,160 Speaker 5: surprised that I knew the term for the instrument one 633 00:33:37,320 --> 00:33:38,480 Speaker 5: uses to measure. 634 00:33:38,160 --> 00:33:42,440 Speaker 1: The size of testicles. Do you know why I know that? Why, 635 00:33:42,520 --> 00:33:44,960 Speaker 1: Joe and I know that because you guys have measured 636 00:33:45,000 --> 00:33:47,320 Speaker 1: your testicles. I don't know. No, I have not, and 637 00:33:47,360 --> 00:33:52,080 Speaker 1: I never think about mine in the magnificent as related 638 00:33:52,080 --> 00:33:52,600 Speaker 1: to other people. 639 00:33:52,640 --> 00:33:55,560 Speaker 4: I've never thought about it for a second. No, When 640 00:33:56,600 --> 00:33:59,080 Speaker 4: one of the world's greatest baseball players all time Barry 641 00:33:59,120 --> 00:34:02,720 Speaker 4: Bonds was why was he in legal trouble about the 642 00:34:02,760 --> 00:34:07,600 Speaker 4: steroids thing? Anyway, they measured his testicles with the instrument 643 00:34:07,680 --> 00:34:10,879 Speaker 4: you use, apparently an orchanometer, to try to determine whether 644 00:34:10,920 --> 00:34:13,520 Speaker 4: his testicles had gotten smaller, which would have been evidence 645 00:34:13,560 --> 00:34:16,160 Speaker 4: that he was using human growth hormone or steroids or 646 00:34:16,200 --> 00:34:17,640 Speaker 4: whatever to uh. 647 00:34:17,680 --> 00:34:20,239 Speaker 5: Have an advantage in baseball. He was actual part of 648 00:34:20,239 --> 00:34:21,239 Speaker 5: the legal case. 649 00:34:21,880 --> 00:34:24,480 Speaker 1: And the fans start to chant. 650 00:34:23,760 --> 00:34:28,279 Speaker 4: Barry right right, So just always remembered the name of 651 00:34:28,320 --> 00:34:31,400 Speaker 4: that particular piece of equipment that I wouldn't think you'd. 652 00:34:31,280 --> 00:34:33,440 Speaker 1: Need very often crucial information to have. 653 00:34:33,760 --> 00:34:35,880 Speaker 4: Well, let's see you need it very much or you 654 00:34:35,880 --> 00:34:39,080 Speaker 4: don't need it at all. It's not like a Phillips 655 00:34:39,080 --> 00:34:42,680 Speaker 4: screwdriver comes in hand a lot. He's gonna need one eventually. 656 00:34:43,000 --> 00:34:44,320 Speaker 1: It's not coming handy a lot. 657 00:34:45,000 --> 00:34:48,640 Speaker 4: Oh, speaking of science, maybe next hour, that's right, we 658 00:34:48,760 --> 00:34:52,000 Speaker 4: do four hours. If you don't get all four hours 659 00:34:52,080 --> 00:34:54,000 Speaker 4: or you don't have you got to do something, grab 660 00:34:54,040 --> 00:34:55,920 Speaker 4: it fire podcast. You ought to follow a subscribe to 661 00:34:55,960 --> 00:34:58,360 Speaker 4: Armstrong and getting on demand wherever you like to get podcasts. 662 00:34:58,480 --> 00:35:00,240 Speaker 4: And indeed, if you get a chance, give us a 663 00:35:00,239 --> 00:35:04,640 Speaker 4: glowing review, because then the algorithms do a better job 664 00:35:04,680 --> 00:35:07,279 Speaker 4: of promoting the show as something people might like in 665 00:35:07,400 --> 00:35:10,200 Speaker 4: our brand of I would like to think fairly common 666 00:35:10,280 --> 00:35:15,640 Speaker 4: sense of coal, fervent patriotism, and reasonableness might become more 667 00:35:15,719 --> 00:35:21,399 Speaker 4: common in America instead of less. Anyway, so I brought 668 00:35:21,440 --> 00:35:23,680 Speaker 4: you part of this story. I didn't understand the full story. 669 00:35:23,680 --> 00:35:26,920 Speaker 4: Oh wait a second, did I finish my sentence slippery? 670 00:35:27,280 --> 00:35:29,120 Speaker 1: Why? I'm gonna pay that off an hour four? 671 00:35:29,520 --> 00:35:33,120 Speaker 4: Okay, science thinks they finally know why ice is slippery? 672 00:35:33,200 --> 00:35:33,799 Speaker 1: Fascinating. 673 00:35:35,440 --> 00:35:39,720 Speaker 5: I mentioned that Disney is going to allow open Ai 674 00:35:40,880 --> 00:35:45,240 Speaker 5: to use their characters in chat GPT. 675 00:35:46,160 --> 00:35:48,760 Speaker 1: I didn't realize the rest of that headline. 676 00:35:48,320 --> 00:35:52,800 Speaker 5: Is Disney to invest one billion dollars in open Ai 677 00:35:53,120 --> 00:35:55,920 Speaker 5: and license characters for use chat GPT. This is a 678 00:35:55,920 --> 00:35:58,640 Speaker 5: big boost for chat GPT, which we talked about the 679 00:35:58,640 --> 00:36:02,680 Speaker 5: other day. Sam all And had decided we're not making 680 00:36:02,800 --> 00:36:07,200 Speaker 5: enough money on this pursuing artificial intelligence, saying we need 681 00:36:07,239 --> 00:36:09,480 Speaker 5: to focus on chat GPT for a while. That's where 682 00:36:09,480 --> 00:36:12,759 Speaker 5: the money is. People love that and it's easy to understand. 683 00:36:13,719 --> 00:36:16,600 Speaker 5: This is a big step that direction, with Disney saying, hey, 684 00:36:16,840 --> 00:36:19,160 Speaker 5: you can use all our characters. People can go online 685 00:36:19,160 --> 00:36:22,040 Speaker 5: and make all kinds of crazy videos and pictures using 686 00:36:22,200 --> 00:36:24,439 Speaker 5: Disney characters. We're not going to sue you. And here's 687 00:36:24,440 --> 00:36:26,839 Speaker 5: a billion dollars. So chat GPT getting a. 688 00:36:26,760 --> 00:36:30,920 Speaker 4: Big leg up there. They're feeling Google catching up behind them, 689 00:36:30,960 --> 00:36:32,200 Speaker 4: and we're really worried about it. 690 00:36:34,640 --> 00:36:40,200 Speaker 5: As the race to destroy humanity continues. Now, apparently a 691 00:36:40,239 --> 00:36:43,440 Speaker 5: lot of people Google was allowing people to use Disney 692 00:36:43,520 --> 00:36:47,280 Speaker 5: characters for stuff, and Disney has tried to sue Google 693 00:36:47,400 --> 00:36:49,960 Speaker 5: or get him to stop. I'm interesting to watch how 694 00:36:50,000 --> 00:36:53,440 Speaker 5: this works over time, whether it's music or images or whatever, 695 00:36:54,520 --> 00:37:01,160 Speaker 5: or written stuff. I mean, that's like impossible to police, right, right, 696 00:37:01,360 --> 00:37:02,840 Speaker 5: It's going to be very hard to hold on to 697 00:37:03,000 --> 00:37:06,040 Speaker 5: your intellectual property in the world of artificial intelligence. 698 00:37:06,520 --> 00:37:07,520 Speaker 1: Damn near impossible. 699 00:37:07,880 --> 00:37:09,480 Speaker 4: So anyway, like Joe mentioned, we do a lot of 700 00:37:09,480 --> 00:37:12,400 Speaker 4: different hours and different segments. If you miss any, you 701 00:37:12,440 --> 00:37:14,959 Speaker 4: can find it in the podcast Armstrong and Getty on 702 00:37:15,120 --> 00:37:15,600 Speaker 4: demand 703 00:37:18,880 --> 00:37:20,040 Speaker 1: Armstrong and Getty