1 00:00:01,040 --> 00:00:04,480 Speaker 1: Welcome to Stuff you Should Know from House Stuff Works 2 00:00:04,519 --> 00:00:13,560 Speaker 1: dot com. Hey, and welcome to the podcast. I'm Josh Clark, 3 00:00:13,640 --> 00:00:16,560 Speaker 1: and there's Charles W. Chuck Bryant, and there's Jerry over there. 4 00:00:17,040 --> 00:00:24,000 Speaker 1: This is Stuff you should Know about breaking news Colan Zica. Yes, 5 00:00:24,640 --> 00:00:26,320 Speaker 1: We've had a bunch of people asked us to do 6 00:00:26,360 --> 00:00:30,400 Speaker 1: this and over the summer basically, and uh, I finally 7 00:00:30,400 --> 00:00:34,320 Speaker 1: gave in. I said, all right, now that the epidemic 8 00:00:34,440 --> 00:00:38,200 Speaker 1: is starting to wayne, we'll step in and start talking 9 00:00:38,240 --> 00:00:41,600 Speaker 1: about it. Well. Uh, one of the reasons I'm always 10 00:00:41,640 --> 00:00:44,919 Speaker 1: reticent to do something so on the forefront is like 11 00:00:45,240 --> 00:00:47,680 Speaker 1: this is this will be outdated by the time it's 12 00:00:47,720 --> 00:00:49,600 Speaker 1: released in a couple of weeks. Yeah. I was looking 13 00:00:49,640 --> 00:00:52,800 Speaker 1: at some of the dates on on the material we used, 14 00:00:53,280 --> 00:00:56,960 Speaker 1: and like August was the most recent data I could 15 00:00:57,000 --> 00:00:59,720 Speaker 1: get on some stuff. I'm like that, surely things have 16 00:00:59,800 --> 00:01:03,319 Speaker 1: changed enough. Then I want the newest numbers. Give them 17 00:01:03,320 --> 00:01:06,280 Speaker 1: to me. Who and they're like, let us go, And 18 00:01:06,360 --> 00:01:13,000 Speaker 1: Roger Dalterry said, no, that was a bad joke all over. 19 00:01:14,160 --> 00:01:16,480 Speaker 1: So anyway, I mean, we're gonna give you the overview 20 00:01:16,520 --> 00:01:19,080 Speaker 1: of what we know. But Zeka is a or at least, 21 00:01:19,160 --> 00:01:22,560 Speaker 1: the current outbreak is a pretty new thing and they 22 00:01:22,640 --> 00:01:26,280 Speaker 1: don't know a ton about it. So there there's a 23 00:01:26,319 --> 00:01:29,040 Speaker 1: lot of mystery involved and a lot is changing on 24 00:01:29,080 --> 00:01:31,920 Speaker 1: a daily basis, So just take it with a grain 25 00:01:31,959 --> 00:01:38,720 Speaker 1: of salt. Yes, that's not medical advice though, and some deet. Yeah. Um, 26 00:01:38,840 --> 00:01:44,319 Speaker 1: so you said it's a fairly recent a fairly recent origin, UM, 27 00:01:44,360 --> 00:01:47,520 Speaker 1: and a lot of people say, yeah, weird stuff suddenly 28 00:01:47,560 --> 00:01:52,000 Speaker 1: appearing around the world, like, um, chicken guna which is 29 00:01:52,040 --> 00:01:55,200 Speaker 1: related to zekea and zeka has to have something to 30 00:01:55,200 --> 00:01:58,440 Speaker 1: do with climate change. That's definitely that's going chicken. I 31 00:01:58,520 --> 00:02:01,120 Speaker 1: was about to say, that's a delicious chicken. No, you're 32 00:02:01,160 --> 00:02:05,800 Speaker 1: thinking of chicken tonight. Okay, chicken gun is not delicious. 33 00:02:05,880 --> 00:02:08,920 Speaker 1: It's very painful. Yes, UM, not making light of that, 34 00:02:08,960 --> 00:02:11,040 Speaker 1: I was, but you know what I mean, Yeah, you're 35 00:02:11,080 --> 00:02:15,480 Speaker 1: chuck UM. But it's actually it was back in I 36 00:02:15,520 --> 00:02:20,800 Speaker 1: think nineteen forty seven that some researchers UM from Europe 37 00:02:20,800 --> 00:02:25,600 Speaker 1: in the United States working in Uganda, UM discovered this 38 00:02:25,800 --> 00:02:30,679 Speaker 1: in a Reesea's monkey named Reesa's seven six six. It 39 00:02:30,800 --> 00:02:34,440 Speaker 1: was born to be an experimental lab animal because it 40 00:02:34,560 --> 00:02:37,720 Speaker 1: was named that UM and they they were looking for 41 00:02:37,840 --> 00:02:41,120 Speaker 1: yellow fever and they found instead this brand new virus 42 00:02:41,120 --> 00:02:43,880 Speaker 1: that they've never seen before. So Reesa's seven six six 43 00:02:44,200 --> 00:02:47,440 Speaker 1: became the first known carrier of zeka. Yeah, and it's 44 00:02:47,520 --> 00:02:49,880 Speaker 1: named after that that forest in Uganda where they found 45 00:02:49,880 --> 00:02:53,720 Speaker 1: this monkey and they didn't find it in humans until 46 00:02:54,160 --> 00:02:58,320 Speaker 1: nineteen fifty two. And um, and if you're thinking and 47 00:02:58,360 --> 00:03:01,040 Speaker 1: at that point it was Uganda, you're not a Tanzania 48 00:03:01,080 --> 00:03:03,240 Speaker 1: where they found it in humans. And if you're thinking 49 00:03:04,760 --> 00:03:09,160 Speaker 1: nineteen fifty two, guys, this is like breaking news, Well, 50 00:03:10,080 --> 00:03:14,840 Speaker 1: this outbreak is breaking news. Zeka had not been previously 51 00:03:15,480 --> 00:03:20,440 Speaker 1: a very big problem pre two thousand seven. It was 52 00:03:20,560 --> 00:03:23,880 Speaker 1: very localized to tropical Africa. Yeah, and not a lot 53 00:03:23,919 --> 00:03:26,480 Speaker 1: of cases even. Uh. In fact, even in two thousand 54 00:03:26,520 --> 00:03:30,800 Speaker 1: seven there were fourteen cases documented, although they think it 55 00:03:30,880 --> 00:03:36,000 Speaker 1: was probably more undocumented. And uh, it wasn't until later 56 00:03:36,080 --> 00:03:39,000 Speaker 1: in two thousand seven in Micronesia that they had sort 57 00:03:39,040 --> 00:03:42,400 Speaker 1: of the first large outbreak, which was forty nine cases, 58 00:03:43,040 --> 00:03:45,680 Speaker 1: which isn't even that much. And then in two thousand 59 00:03:45,720 --> 00:03:51,280 Speaker 1: fourteen in French Polynesia, nineteen thousand suspected cases. And then 60 00:03:51,440 --> 00:03:55,000 Speaker 1: now this one is much much bigger. Yeah, something like UM. 61 00:03:55,360 --> 00:04:00,520 Speaker 1: I again, I was really pressed to find hard figures, 62 00:04:00,560 --> 00:04:04,000 Speaker 1: but it looks like something like a million people have 63 00:04:04,120 --> 00:04:10,440 Speaker 1: been infected with ZEKA worldwide since UM two thousand fifteen 64 00:04:11,080 --> 00:04:14,160 Speaker 1: is when this outbreak officially started. And it's shown up 65 00:04:14,200 --> 00:04:17,200 Speaker 1: in sixty seven countries since two thousand fifteen, since the 66 00:04:17,200 --> 00:04:22,080 Speaker 1: beginning of this outbreak, And yeah, I we need different numbers. 67 00:04:22,440 --> 00:04:24,760 Speaker 1: I was counting too, and I came up with fifty eight. 68 00:04:24,800 --> 00:04:26,240 Speaker 1: But I was like, it's got to be more than that. 69 00:04:26,480 --> 00:04:29,440 Speaker 1: I saw something in the fifties. I saw sixty seven 70 00:04:29,480 --> 00:04:32,719 Speaker 1: I think on the World Health Organization website, which is 71 00:04:32,720 --> 00:04:34,839 Speaker 1: why I was I was like, that's probably right. But 72 00:04:34,920 --> 00:04:39,120 Speaker 1: while we're we're recording this, literally another country could pop up. Yeah. Actually, 73 00:04:39,240 --> 00:04:42,279 Speaker 1: Singapore is in the midst of a new outbreak right now. UM. 74 00:04:42,320 --> 00:04:46,880 Speaker 1: As of September, they have three hundred and eighty three 75 00:04:47,040 --> 00:04:53,000 Speaker 1: reported locally transmitted cases, right which is pretty significant. But 76 00:04:53,120 --> 00:04:56,680 Speaker 1: that's up from fifty four on August twenty nine, So 77 00:04:56,760 --> 00:04:59,240 Speaker 1: less than a month, it's gone from fifty four cases 78 00:04:59,279 --> 00:05:03,799 Speaker 1: to eight three. I read actually a posted an article 79 00:05:03,800 --> 00:05:07,359 Speaker 1: on our Facebook page yesterday about UM. I think it 80 00:05:07,480 --> 00:05:10,960 Speaker 1: may have been from Slate, but the author's uh suggestion 81 00:05:11,120 --> 00:05:12,920 Speaker 1: was that there's a lot of apathy in the United 82 00:05:12,920 --> 00:05:16,919 Speaker 1: States towards Zeka right now. Um, And then there were 83 00:05:16,920 --> 00:05:18,680 Speaker 1: a bunch of read the comments and a lot of 84 00:05:18,720 --> 00:05:20,960 Speaker 1: people a valid points. They are like sort of a 85 00:05:20,960 --> 00:05:25,000 Speaker 1: crying wolf situation, like Ebola didn't turn out to be 86 00:05:25,520 --> 00:05:28,080 Speaker 1: mad Cow, didn't turn out to be you know, none 87 00:05:28,080 --> 00:05:31,960 Speaker 1: of these things turned out to be these devastating pandemics 88 00:05:32,040 --> 00:05:36,360 Speaker 1: here in the US well exactly, so, you know, the 89 00:05:36,440 --> 00:05:40,719 Speaker 1: United States has a tendency to be a little US centric. Sure, 90 00:05:41,120 --> 00:05:44,520 Speaker 1: so I think the comments I got from our listeners 91 00:05:44,560 --> 00:05:47,080 Speaker 1: at least we're like, you know what, we've heard this before, 92 00:05:47,480 --> 00:05:49,960 Speaker 1: and so maybe there is some apathy. There's a huge 93 00:05:50,240 --> 00:05:53,800 Speaker 1: fear that that is going to prevent a vaccine from 94 00:05:53,839 --> 00:05:57,080 Speaker 1: being developed. That's why there's not an ebola vaccine because 95 00:05:57,440 --> 00:06:00,839 Speaker 1: the outbreak was contained, and every one said, wow, we 96 00:06:00,880 --> 00:06:03,760 Speaker 1: don't need to fund we don't need to start funneling 97 00:06:03,800 --> 00:06:09,200 Speaker 1: emergency funds towards vaccination research. It's fine, and it stayed 98 00:06:09,240 --> 00:06:12,720 Speaker 1: basically in Africa, hit a couple of people in America 99 00:06:12,800 --> 00:06:15,679 Speaker 1: and Europe, but for the most part, it's over there, 100 00:06:16,160 --> 00:06:17,800 Speaker 1: so we don't have to worry about it, and they're 101 00:06:17,839 --> 00:06:19,479 Speaker 1: worried that the same thing is going to happen. That 102 00:06:19,720 --> 00:06:23,919 Speaker 1: this the end of October, mosquito season is going to 103 00:06:24,160 --> 00:06:27,640 Speaker 1: decline and the outbreak is going to naturally in in 104 00:06:27,839 --> 00:06:33,080 Speaker 1: step decline as well. Uh And the public will and 105 00:06:33,160 --> 00:06:38,240 Speaker 1: public funding for vaccinations, emergency vaccinations against zica is going 106 00:06:38,320 --> 00:06:41,120 Speaker 1: to dry up. The big problem is we're eventually going 107 00:06:41,200 --> 00:06:46,680 Speaker 1: to those dire public warnings could eventually come to pass. 108 00:06:47,080 --> 00:06:49,479 Speaker 1: It might not have this pastime with the bola, it 109 00:06:49,600 --> 00:06:53,159 Speaker 1: might not this time with zeka, but there's there's a 110 00:06:53,279 --> 00:06:57,000 Speaker 1: definite possibility that it could happen, and we're gonna be like, man, 111 00:06:57,080 --> 00:06:59,520 Speaker 1: I really wish we would have stuck with it ten 112 00:06:59,600 --> 00:07:01,560 Speaker 1: years ago. Oh and we had the chance to develop 113 00:07:01,560 --> 00:07:05,000 Speaker 1: a ZECA vaccine. Yeah, it's um it's a really narrow line. 114 00:07:05,000 --> 00:07:08,200 Speaker 1: I think that with media reporting on stuff like a 115 00:07:08,279 --> 00:07:12,880 Speaker 1: ban flu and mad cow and uh two get people 116 00:07:13,080 --> 00:07:16,840 Speaker 1: fired up and scared and preach fear or to you know, 117 00:07:17,000 --> 00:07:19,600 Speaker 1: for people to know that there is a really good 118 00:07:19,680 --> 00:07:22,040 Speaker 1: chance that this could be bad. Yeah, if it's not, 119 00:07:22,120 --> 00:07:24,960 Speaker 1: then great, But then turn around and say, well, you've 120 00:07:24,960 --> 00:07:28,080 Speaker 1: got scared over nothing. Like people should say, well, that's 121 00:07:28,120 --> 00:07:32,040 Speaker 1: wonderful news that it was smaller than we thought. But yes, 122 00:07:32,080 --> 00:07:34,320 Speaker 1: you can lay a certain amount of the blame for 123 00:07:34,360 --> 00:07:36,560 Speaker 1: this at the at the feet of the media, for 124 00:07:36,560 --> 00:07:40,000 Speaker 1: for drumming up fear for ratings, and we should say 125 00:07:40,040 --> 00:07:42,680 Speaker 1: that's not at all our intention with this. No, we're 126 00:07:42,720 --> 00:07:48,320 Speaker 1: perfectly happy with our ratings normally UM and we I 127 00:07:48,360 --> 00:07:53,280 Speaker 1: think if it goes to say, there's most public health 128 00:07:53,280 --> 00:07:59,000 Speaker 1: officials are not panicking about this thing UM and and 129 00:07:59,120 --> 00:08:03,400 Speaker 1: zekea itself is even like a pretty um, pretty mild disease. 130 00:08:04,080 --> 00:08:07,600 Speaker 1: The problem is, and the reason the World Health Organization 131 00:08:08,080 --> 00:08:13,840 Speaker 1: created a Global Health Emergency UM alert, they put everybody 132 00:08:13,840 --> 00:08:17,160 Speaker 1: on high alert UH and started funneling money and attention 133 00:08:17,160 --> 00:08:22,280 Speaker 1: towards Zeka is because there's a cluster of microcephaly in Brazil, 134 00:08:22,880 --> 00:08:26,480 Speaker 1: which is basically ground zero for this most recent UM outbreak. 135 00:08:26,960 --> 00:08:30,560 Speaker 1: And they're they're saying, now, there's there hasn't been any 136 00:08:30,600 --> 00:08:35,079 Speaker 1: direct evidence, but there's so much correlation between being infected 137 00:08:35,080 --> 00:08:38,920 Speaker 1: with the zeke virus wild pregnant and having a baby 138 00:08:39,000 --> 00:08:44,959 Speaker 1: with microcephaly afterward UM that they're like, yes, Zeca causes microcephaly. 139 00:08:45,080 --> 00:08:47,520 Speaker 1: Basically is the point we're at. Yeah, well let's let's 140 00:08:47,559 --> 00:08:50,160 Speaker 1: jump back a little bit. So if you get ZEKA, 141 00:08:50,800 --> 00:08:54,920 Speaker 1: only of the people infected will show any symptoms at all. 142 00:08:54,960 --> 00:08:57,920 Speaker 1: And these symptoms just so you're looking out for them, 143 00:08:58,280 --> 00:09:02,000 Speaker 1: which is always good to do. Fever, red eyes, joint pain, 144 00:09:02,559 --> 00:09:06,880 Speaker 1: bumpy rash, what else you can have muscle pain and headache. 145 00:09:07,120 --> 00:09:11,240 Speaker 1: Those apparently are less common symptoms. Um, but that's that's 146 00:09:11,280 --> 00:09:14,320 Speaker 1: about it. And and like you said, I think four 147 00:09:14,440 --> 00:09:17,960 Speaker 1: fits of people who have ZEKA are not going to 148 00:09:18,000 --> 00:09:21,240 Speaker 1: show symptoms, and the ones who do have symptoms probably 149 00:09:21,280 --> 00:09:23,040 Speaker 1: they're not going to be bad enough to even go 150 00:09:23,120 --> 00:09:25,600 Speaker 1: to the doctor for. Yeah, they only last a few 151 00:09:25,640 --> 00:09:29,560 Speaker 1: days to a week, and um, it's it's not something 152 00:09:29,559 --> 00:09:31,920 Speaker 1: that will kill you. And I think that's another reason 153 00:09:31,960 --> 00:09:34,800 Speaker 1: that a lot of people have apathy is because it 154 00:09:34,840 --> 00:09:40,199 Speaker 1: has such a narrow, uh focus of harm, which is 155 00:09:40,240 --> 00:09:45,800 Speaker 1: specifically right now at least largely pregnant women's babies. That 156 00:09:45,960 --> 00:09:47,880 Speaker 1: and then there's one other thing that it's been linked to, 157 00:09:47,920 --> 00:09:53,160 Speaker 1: although not quite as conclusively, is U Barre syndrome, which 158 00:09:53,240 --> 00:09:57,440 Speaker 1: is a really bizarre and mysterious disorder that comes out 159 00:09:57,440 --> 00:10:02,720 Speaker 1: of nowhere where your um immune system attacks your the 160 00:10:02,840 --> 00:10:06,840 Speaker 1: nerves in your body and can leave you paralyzed at worse, 161 00:10:07,360 --> 00:10:12,680 Speaker 1: but even milder on the spectrum, UM can leave you 162 00:10:13,480 --> 00:10:17,800 Speaker 1: laid up, bedridden, un a ventilator. Yeah. And the the 163 00:10:17,880 --> 00:10:20,000 Speaker 1: idea that they don't have any idea where it comes 164 00:10:20,040 --> 00:10:24,800 Speaker 1: from is very unsettling. Yeah. And right now they've made 165 00:10:24,800 --> 00:10:28,240 Speaker 1: a much stronger correlation with the microcephaly than I have 166 00:10:28,400 --> 00:10:33,120 Speaker 1: the G B s UM. Because I'm going to try 167 00:10:33,120 --> 00:10:36,679 Speaker 1: and pronounce that again A bar A. Yeah, it sounds easy. 168 00:10:36,760 --> 00:10:38,520 Speaker 1: I know that because there's a there's a stuff you 169 00:10:38,520 --> 00:10:40,839 Speaker 1: should know. Listen to remember the guy who's get well 170 00:10:40,880 --> 00:10:44,040 Speaker 1: card we we filled out UM and I tweeted there's 171 00:10:44,080 --> 00:10:46,360 Speaker 1: like a I think a go fund me to too, 172 00:10:47,160 --> 00:10:53,240 Speaker 1: like get a wheelchair access vane is laid up. His 173 00:10:53,320 --> 00:10:55,040 Speaker 1: name is John Say. He lives here in Atlanta. He's 174 00:10:55,040 --> 00:10:57,800 Speaker 1: a great guy. You can chip in for John if 175 00:10:57,840 --> 00:11:01,040 Speaker 1: you want to UM. You can search John Say s 176 00:11:01,080 --> 00:11:04,439 Speaker 1: A y E on go fund me dot com or 177 00:11:05,240 --> 00:11:08,440 Speaker 1: go to go fund me dot com slash to j 178 00:11:09,320 --> 00:11:13,800 Speaker 1: h X eight y K. But I should say he 179 00:11:13,880 --> 00:11:16,880 Speaker 1: didn't get it from Zeka UM. But he has the 180 00:11:17,200 --> 00:11:19,240 Speaker 1: bar and they have no idea where it came from. 181 00:11:19,240 --> 00:11:22,200 Speaker 1: But all of a sudden one day, your immune system 182 00:11:22,240 --> 00:11:26,839 Speaker 1: just turns on your nerves when you're in trouble. Amazing. Yeah. Uh, 183 00:11:26,920 --> 00:11:30,280 Speaker 1: all right, so let's talk a little bit about microcephi um. 184 00:11:30,320 --> 00:11:34,520 Speaker 1: It is a birth defect. H It's the characterization mainly 185 00:11:34,600 --> 00:11:37,360 Speaker 1: is that your baby will have a very small head 186 00:11:37,920 --> 00:11:41,000 Speaker 1: and as a result, in under developed brain or I 187 00:11:41,000 --> 00:11:43,960 Speaker 1: don't know as a result, but those two things happen. Well, 188 00:11:44,000 --> 00:11:47,079 Speaker 1: they think what happens is that the virus attacks stem 189 00:11:47,080 --> 00:11:54,319 Speaker 1: cells in the developing brain and ends up UM preventing 190 00:11:54,600 --> 00:11:57,920 Speaker 1: the brain from developing properly. And they think it's also 191 00:11:58,000 --> 00:12:03,839 Speaker 1: possible it's simultaneously attacks um structural proteins in the brain, 192 00:12:04,520 --> 00:12:08,199 Speaker 1: so the existing tissue that's already been developed can can 193 00:12:08,280 --> 00:12:13,160 Speaker 1: be destabilized, and then the stuff that's developing, uh, doesn't 194 00:12:13,160 --> 00:12:16,360 Speaker 1: have a chance to develop correctly, in which case you 195 00:12:16,360 --> 00:12:19,480 Speaker 1: you have babies born with like a lot of parts 196 00:12:19,520 --> 00:12:23,160 Speaker 1: of their brain missing. Right. Yeah, and um, I read 197 00:12:23,200 --> 00:12:27,319 Speaker 1: this one interview on It was the MPR interview. Yeah, 198 00:12:27,360 --> 00:12:30,120 Speaker 1: it was from NPR and their health correspondent Rob stein 199 00:12:30,920 --> 00:12:33,520 Speaker 1: Um was talking about kind of like he went and 200 00:12:33,600 --> 00:12:37,440 Speaker 1: visited Brazil and visited these babies and he said, you know, 201 00:12:37,440 --> 00:12:40,120 Speaker 1: he said it was devastating and that some of the 202 00:12:40,120 --> 00:12:43,240 Speaker 1: new research they published some brain scan images from a 203 00:12:43,240 --> 00:12:48,000 Speaker 1: bunch of these Brazilian babies, and um, some they found 204 00:12:48,000 --> 00:12:52,000 Speaker 1: some really weird things. Uh, entire portions of their nervous 205 00:12:52,000 --> 00:12:55,439 Speaker 1: systems are missing just not there, like parts of the 206 00:12:55,480 --> 00:12:59,800 Speaker 1: brain stem, parts of the spinal cord. And then sometimes 207 00:12:59,800 --> 00:13:03,720 Speaker 1: in some cases, uh, you think the baby is okay, 208 00:13:04,120 --> 00:13:08,880 Speaker 1: and then they're born and then you realize that parts 209 00:13:08,880 --> 00:13:11,840 Speaker 1: of the brain are like full of fluid, so it 210 00:13:11,880 --> 00:13:13,920 Speaker 1: has puffed up the brain so it looks like it's 211 00:13:13,920 --> 00:13:16,400 Speaker 1: a normal size and like a scan or something, right, Yeah, 212 00:13:16,400 --> 00:13:19,480 Speaker 1: but there's you know, severe brain damage going on. Right, 213 00:13:19,600 --> 00:13:22,760 Speaker 1: and so this leads to things like seizures, developmental delay, 214 00:13:22,840 --> 00:13:29,240 Speaker 1: intellectual disabilities, UM, problems with moving around or balance difficulties, swallowing, 215 00:13:29,520 --> 00:13:34,920 Speaker 1: hearing loss, vision problems, um. And typically this is it's irreversible. 216 00:13:34,920 --> 00:13:38,760 Speaker 1: What that happens. Yeah, and super sad. He uh. He 217 00:13:38,840 --> 00:13:42,000 Speaker 1: talks about the cries of these babies. He said they 218 00:13:42,080 --> 00:13:45,280 Speaker 1: cry more, and not only more, but he said it's 219 00:13:45,320 --> 00:13:47,920 Speaker 1: a really you know, if you have a baby, you 220 00:13:47,920 --> 00:13:49,920 Speaker 1: know they're different. Cries mean different things and one of 221 00:13:49,960 --> 00:13:55,000 Speaker 1: the keys to figure out what's what and um, these cries, 222 00:13:55,040 --> 00:13:58,839 Speaker 1: he said, are just abnormal, and that they sound like 223 00:13:59,080 --> 00:14:03,199 Speaker 1: anguishing pain is going on, and they're much harder to soothe. 224 00:14:03,280 --> 00:14:06,240 Speaker 1: So that's just like heartbreaking stuff, it is. And so 225 00:14:06,320 --> 00:14:10,400 Speaker 1: you can understand why, uh, couples who are planning on 226 00:14:10,480 --> 00:14:15,520 Speaker 1: getting pregnant, women who are pregnant um are just scared 227 00:14:15,520 --> 00:14:19,240 Speaker 1: to death of this, the idea of of contracting ZEKA. 228 00:14:19,480 --> 00:14:23,160 Speaker 1: Sure they found that, Uh, at first they thought that 229 00:14:23,240 --> 00:14:27,360 Speaker 1: the first trimester UM was the most dangerous point, but 230 00:14:27,480 --> 00:14:30,200 Speaker 1: now apparently after further study, they're like, yeah, there's really 231 00:14:30,200 --> 00:14:34,520 Speaker 1: no safe point in a pregnancy UM where you could 232 00:14:34,520 --> 00:14:37,520 Speaker 1: get a ZECA infection and probably be protected. Yeah. And 233 00:14:37,520 --> 00:14:39,520 Speaker 1: I think they're airing on the side of caution because 234 00:14:39,560 --> 00:14:42,680 Speaker 1: they're still so early in the game. They don't want 235 00:14:42,720 --> 00:14:44,960 Speaker 1: to say like, nope, just the first trimester, like they're 236 00:14:45,000 --> 00:14:46,960 Speaker 1: kind of saying, we don't know, it could be anytime 237 00:14:47,040 --> 00:14:52,320 Speaker 1: during the pregnancy UM. And he the the NPR correspondent 238 00:14:52,600 --> 00:14:55,720 Speaker 1: was he couched the whole thing and saying like he 239 00:14:55,800 --> 00:14:59,080 Speaker 1: wasn't he wasn't raising public fears. I think he did 240 00:14:59,080 --> 00:15:00,720 Speaker 1: it in the right way. He said, we don't know 241 00:15:00,760 --> 00:15:02,960 Speaker 1: what this one's gonna look like. He said, it could 242 00:15:03,040 --> 00:15:07,280 Speaker 1: just die out again and be a medium sized outbreak 243 00:15:07,320 --> 00:15:09,120 Speaker 1: that goes away, he said, or it could be worse. 244 00:15:09,200 --> 00:15:12,960 Speaker 1: We just gotta like be responsible and see what happens. Yeah, 245 00:15:13,000 --> 00:15:16,520 Speaker 1: and they were saying, also, chuck the um. The estimates 246 00:15:16,560 --> 00:15:21,400 Speaker 1: of the incidents of microcephily that come from zekea so 247 00:15:21,440 --> 00:15:26,160 Speaker 1: far is between like one and which is an enormous 248 00:15:26,200 --> 00:15:29,680 Speaker 1: increase in the incidents of microcepily because it's apparently a 249 00:15:29,680 --> 00:15:37,160 Speaker 1: fairly uncommon um disorder and something like UM twelve babies 250 00:15:37,280 --> 00:15:40,680 Speaker 1: per ten two to twelve babies per ten thousand berths 251 00:15:40,720 --> 00:15:47,400 Speaker 1: in the United States, UM are born with microceptile normally 252 00:15:48,240 --> 00:15:52,160 Speaker 1: between two and twelve per ten thousand births. If one percent, 253 00:15:52,400 --> 00:15:56,800 Speaker 1: just one percent of women who contracts ZECA give birth 254 00:15:56,840 --> 00:16:00,120 Speaker 1: to a baby with microceffily, that's like ten times is 255 00:16:00,160 --> 00:16:02,680 Speaker 1: the normal rate. And that's the low end of the estimate. 256 00:16:02,760 --> 00:16:07,440 Speaker 1: So again, like yeah, if you're just some dude, some 257 00:16:07,600 --> 00:16:13,000 Speaker 1: bachelor who's like, you know, hanging around uh, Margarita Ville, 258 00:16:13,800 --> 00:16:16,600 Speaker 1: and you get stung by a mosquito UM and you 259 00:16:16,680 --> 00:16:21,080 Speaker 1: can track ZEKA and you don't even have symptoms. Who cares? Well, 260 00:16:21,280 --> 00:16:25,160 Speaker 1: the idea that you that somebody else could have a 261 00:16:25,160 --> 00:16:28,280 Speaker 1: baby with microceftly, that's who cares. That's just making this 262 00:16:28,320 --> 00:16:30,960 Speaker 1: a public health emergency, you know. All right, Well, let's 263 00:16:30,960 --> 00:16:32,760 Speaker 1: take a quick break and we'll get back and talk 264 00:16:32,840 --> 00:17:05,000 Speaker 1: a little bit about how it is spread. All right, Josh, 265 00:17:05,040 --> 00:17:09,840 Speaker 1: you mentioned mosquitoes. We've kind of danced around it, or 266 00:17:09,880 --> 00:17:12,000 Speaker 1: maybe we already said, but we'll go ahead and say 267 00:17:12,000 --> 00:17:17,120 Speaker 1: it now, yellow fever mosquitoes. Uh, the adies and gyp 268 00:17:17,200 --> 00:17:22,399 Speaker 1: tie there you go, that's the little bugger responsible. Uh, 269 00:17:22,440 --> 00:17:25,320 Speaker 1: they're responsible not just for yellow fever and zica but 270 00:17:25,359 --> 00:17:31,520 Speaker 1: also den gae and um, chicken guna too, which is delicious. 271 00:17:32,600 --> 00:17:36,399 Speaker 1: Again you're thinking of chicken tonight and only certain chicken 272 00:17:36,400 --> 00:17:40,720 Speaker 1: tonight's too. Um. Did we talk We did a really 273 00:17:40,720 --> 00:17:43,840 Speaker 1: good podcast. I remember our mosquitoes. It was great. But 274 00:17:43,960 --> 00:17:47,040 Speaker 1: did we talk about I Now we talked a little bit, 275 00:17:47,080 --> 00:17:48,879 Speaker 1: but I can't remember we landed on the idea of 276 00:17:48,920 --> 00:17:54,000 Speaker 1: eradicating them outright? And are they one of those that 277 00:17:54,119 --> 00:17:55,840 Speaker 1: we can get rid of? And it doesn't have some 278 00:17:55,880 --> 00:17:58,600 Speaker 1: big ripple effect. We can't say that we could get 279 00:17:58,680 --> 00:18:02,399 Speaker 1: rid of anything any species of anything wholesale and not 280 00:18:02,520 --> 00:18:05,800 Speaker 1: have really detrimental effects. But in the mosquito one of 281 00:18:05,840 --> 00:18:10,000 Speaker 1: those that people like researchers think we might well, yeah, 282 00:18:10,160 --> 00:18:12,439 Speaker 1: get rid of without losing you know, it's not like 283 00:18:12,480 --> 00:18:17,119 Speaker 1: losing the honeybee. There there are some serious proposals to 284 00:18:17,240 --> 00:18:20,919 Speaker 1: get rid of mosquitoes as as part of treating Zeka. 285 00:18:21,160 --> 00:18:24,080 Speaker 1: I just hope that's the case. I hate him. I 286 00:18:24,119 --> 00:18:26,320 Speaker 1: hate him. I hate him. Oh that we get rid 287 00:18:26,320 --> 00:18:28,520 Speaker 1: of them, Yeah, I think it would be great. They 288 00:18:28,560 --> 00:18:32,359 Speaker 1: carry I mean, beyond the stupid nuisance that you know, 289 00:18:32,640 --> 00:18:35,480 Speaker 1: I you know, my privileged self feels at my house. 290 00:18:35,920 --> 00:18:38,160 Speaker 1: I'm talking about, you know, in countries where they spread 291 00:18:38,200 --> 00:18:41,080 Speaker 1: serious disease. It's a real, real problem. It is a 292 00:18:41,080 --> 00:18:43,160 Speaker 1: real problem, and so I guess we might as well 293 00:18:43,200 --> 00:18:45,720 Speaker 1: talk about this. There's there's a couple of proposals that 294 00:18:45,800 --> 00:18:51,119 Speaker 1: the World Health Organization UM, who right, are that was 295 00:18:51,160 --> 00:18:54,240 Speaker 1: good though you almost got me. They're they're looking into 296 00:18:54,280 --> 00:18:56,439 Speaker 1: and are planning on deploying and are actually there's some 297 00:18:56,480 --> 00:18:59,119 Speaker 1: pilot projects. One of them we talked about in the 298 00:18:59,160 --> 00:19:05,040 Speaker 1: Mosquito episode, which was UM releasing transgenic mosquitoes into the wild. 299 00:19:05,640 --> 00:19:10,920 Speaker 1: And so these things carry a genetic artificially inserted genetic 300 00:19:11,760 --> 00:19:16,600 Speaker 1: um mutation that prevents their offspring from surviving to maturity 301 00:19:16,720 --> 00:19:20,479 Speaker 1: and therefore they're unable to reproduce. Right, So you release 302 00:19:20,600 --> 00:19:24,840 Speaker 1: these genetically ulter mosquitoes into the wild and after several generations, 303 00:19:25,119 --> 00:19:29,000 Speaker 1: the mosquito population starts to die off. Wonderful, there's one. 304 00:19:29,240 --> 00:19:31,760 Speaker 1: There's a there's a test pilot by this UM, this 305 00:19:31,800 --> 00:19:36,120 Speaker 1: company called ox a Tech working out of UM, England, 306 00:19:36,160 --> 00:19:40,119 Speaker 1: I believe, I'm not quite sure exactly where, but they 307 00:19:40,160 --> 00:19:43,639 Speaker 1: created a genetically modified mosquito back in two two and 308 00:19:43,800 --> 00:19:48,880 Speaker 1: part of the project UM, part of the proving test experiment, 309 00:19:49,640 --> 00:19:52,200 Speaker 1: I think that's what they call it. There's there's ellipses 310 00:19:52,240 --> 00:19:56,640 Speaker 1: and everything to indicate the pauses. But UM they released 311 00:19:56,720 --> 00:20:00,679 Speaker 1: some in Sal Paulo, Brazil as part of a pilot 312 00:20:00,680 --> 00:20:05,920 Speaker 1: project in April last year. In January of this year, 313 00:20:06,280 --> 00:20:08,560 Speaker 1: there had been an eighty two percent reduction in wild 314 00:20:08,560 --> 00:20:11,640 Speaker 1: mosquito larva. Let's do it so it works. The problem 315 00:20:11,760 --> 00:20:16,800 Speaker 1: is is I think that is the pinnacle of human hubris, 316 00:20:17,040 --> 00:20:19,200 Speaker 1: the idea that we can just get rid of an 317 00:20:19,320 --> 00:20:22,959 Speaker 1: entire species and there not be some sort of ripple effect. 318 00:20:22,960 --> 00:20:25,440 Speaker 1: That we couldn't foresee that. We're gonna be like, oh, 319 00:20:25,720 --> 00:20:30,000 Speaker 1: we shouldn't have done that. There's an alternative one. So, yes, 320 00:20:30,040 --> 00:20:32,919 Speaker 1: you're inconvenience right when you're stung by a mosquito and 321 00:20:32,960 --> 00:20:37,479 Speaker 1: it sucks. I see that was an accident. All right, 322 00:20:38,600 --> 00:20:42,680 Speaker 1: there's But the bigger problem is for for people who 323 00:20:42,680 --> 00:20:46,440 Speaker 1: are like suffering and dying from diseases like malaria or 324 00:20:46,520 --> 00:20:49,360 Speaker 1: dana feb or something like that. Well, there's an alternative 325 00:20:49,520 --> 00:20:52,560 Speaker 1: to getting rid of mosquitoes, and it's actually treating mosquitoes 326 00:20:52,800 --> 00:20:57,159 Speaker 1: with something called Walbaccia, which is a bacteria that infects 327 00:20:57,200 --> 00:21:01,080 Speaker 1: the gut of a mosquito and actually prevents the zecra 328 00:21:01,200 --> 00:21:05,080 Speaker 1: virus from um living there. Okay, so you've still got 329 00:21:05,160 --> 00:21:08,880 Speaker 1: the mosquito. Yeah, so you're not completely altering the ecosystem. 330 00:21:08,920 --> 00:21:11,800 Speaker 1: I'm still inconvenience, but lives are being saved. But you're 331 00:21:11,800 --> 00:21:15,000 Speaker 1: getting right, which is what really matters exactly. Yeah, So 332 00:21:15,080 --> 00:21:17,199 Speaker 1: that one seems to me like a little smarter, and 333 00:21:17,240 --> 00:21:19,480 Speaker 1: they're they're working on that too. They've released a bunch 334 00:21:19,560 --> 00:21:25,440 Speaker 1: in Brazil and so these um uh artificially infected mosquitoes 335 00:21:25,480 --> 00:21:28,800 Speaker 1: go out and um they infect other mosquitoes out in 336 00:21:28,840 --> 00:21:30,800 Speaker 1: the wild, and pretty soon, all of a sudden, Zeke 337 00:21:30,960 --> 00:21:34,200 Speaker 1: is like, oh man, I remember the good times and 338 00:21:34,240 --> 00:21:38,439 Speaker 1: they're gone. Well, it seems like the mosquito is one 339 00:21:38,480 --> 00:21:41,199 Speaker 1: that they could probably research enough to see if it 340 00:21:41,200 --> 00:21:43,639 Speaker 1: would have an impact if it left us. But off 341 00:21:43,680 --> 00:21:46,560 Speaker 1: the top of my head, I'm thinking, well, bats eat mosquitoes, 342 00:21:47,280 --> 00:21:49,600 Speaker 1: and all of a sudden, you're taking away the food 343 00:21:49,600 --> 00:21:52,199 Speaker 1: source from an animal that we love. Ham that's just 344 00:21:52,320 --> 00:21:54,520 Speaker 1: off the top of your head. But then you think, like, 345 00:21:54,640 --> 00:21:56,680 Speaker 1: but do they need mosquitoes or they just like, well, 346 00:21:57,119 --> 00:21:59,320 Speaker 1: well they're there, I'll eat them, or would they just 347 00:21:59,359 --> 00:22:01,679 Speaker 1: move on something else? But then do they decimate some 348 00:22:01,720 --> 00:22:04,120 Speaker 1: other thing that might be useful? You know, I get 349 00:22:04,119 --> 00:22:08,320 Speaker 1: the ripples they're going after house cats while they already 350 00:22:08,320 --> 00:22:13,080 Speaker 1: do that. Yes, there's a real possibility for a ripple 351 00:22:13,119 --> 00:22:18,160 Speaker 1: effect that that would have catastrophic unforeseen consequences. And also, 352 00:22:18,760 --> 00:22:22,760 Speaker 1: I mean, I am totally for getting rid of mosquitoes. 353 00:22:23,240 --> 00:22:26,359 Speaker 1: If we know for certain that there wouldn't be that 354 00:22:26,440 --> 00:22:29,360 Speaker 1: ripple effect, I'd be on board. I go out there 355 00:22:29,400 --> 00:22:32,520 Speaker 1: and start squashing them myself. Yeah, but I think what 356 00:22:32,560 --> 00:22:34,359 Speaker 1: you're saying is is that there's no way to know 357 00:22:34,520 --> 00:22:37,399 Speaker 1: for certain, which is you know it's valid. Yeah. So 358 00:22:37,480 --> 00:22:39,399 Speaker 1: one thing about this mosquito, and I know you know 359 00:22:39,480 --> 00:22:41,520 Speaker 1: a bit more than me about how it's transmitted. But 360 00:22:41,600 --> 00:22:45,440 Speaker 1: looking at the this guy, this particular yellow fever mosquito, 361 00:22:45,680 --> 00:22:49,000 Speaker 1: h it has white markings on the leg. And like 362 00:22:49,080 --> 00:22:52,399 Speaker 1: all mosquitoes, uh, they're active in the morning, in the evening, 363 00:22:52,480 --> 00:22:54,600 Speaker 1: tend to die down a bit in the heat of 364 00:22:54,600 --> 00:22:57,120 Speaker 1: the day, and then at night, you know, go off 365 00:22:57,160 --> 00:23:00,359 Speaker 1: and hide. Right, But how does it actually trans met 366 00:23:00,720 --> 00:23:04,520 Speaker 1: beyond just sticking that needle in? So I guess some 367 00:23:04,600 --> 00:23:08,760 Speaker 1: mosquito got ahold of Reese's seven six six one day 368 00:23:08,960 --> 00:23:12,520 Speaker 1: or something some other carrier like that, and the mosquito 369 00:23:12,560 --> 00:23:15,720 Speaker 1: itself becomes infected, although it doesn't have as far as 370 00:23:15,720 --> 00:23:18,600 Speaker 1: we know, any symptoms from ZEKA. Oh. Interesting, So it's 371 00:23:18,600 --> 00:23:22,040 Speaker 1: not just that it's carrying the infected blood. They're act Yeah. 372 00:23:22,480 --> 00:23:24,800 Speaker 1: And and that's a big point because if a mosquito 373 00:23:24,920 --> 00:23:29,960 Speaker 1: comes and sucks your blood, um, it's not transmitting any 374 00:23:30,000 --> 00:23:32,560 Speaker 1: of its own blood in there. So when it sucks 375 00:23:32,600 --> 00:23:36,720 Speaker 1: your blood and you have zeca, right, the mosquito puts 376 00:23:36,760 --> 00:23:42,520 Speaker 1: its what thank you man? That one that in deleterious 377 00:23:42,520 --> 00:23:46,000 Speaker 1: always elude me. When it puts its proboscus in your 378 00:23:46,000 --> 00:23:49,359 Speaker 1: skin to suck out your blood, it also salivates in 379 00:23:49,400 --> 00:23:54,560 Speaker 1: there right, which is like an anesthetizes you. And if 380 00:23:54,600 --> 00:23:57,320 Speaker 1: you have zeka, that zekea goes from your blood into 381 00:23:57,359 --> 00:24:02,280 Speaker 1: the mosquito's gut, where the zeka um begins to colonize 382 00:24:02,320 --> 00:24:05,159 Speaker 1: the mosquito, infect the mosquito, and ultimately it makes it 383 00:24:05,200 --> 00:24:08,600 Speaker 1: into its salivary glance. So when when that mosquito in 384 00:24:08,720 --> 00:24:13,600 Speaker 1: searches proboscis into the next person's arm, it uses the 385 00:24:13,600 --> 00:24:16,280 Speaker 1: saliva rus to say she, because it's always a female 386 00:24:16,320 --> 00:24:22,480 Speaker 1: mosquito that bites you. She um uses salivaty to anesthetize 387 00:24:22,800 --> 00:24:26,720 Speaker 1: your arm, and that's where the zeka gets into you. Okay, 388 00:24:26,760 --> 00:24:32,680 Speaker 1: Because they have found that the virus lives in saliva, yeah, 389 00:24:32,720 --> 00:24:34,720 Speaker 1: that's a big deal. But they're not you know, they're 390 00:24:34,720 --> 00:24:39,080 Speaker 1: still trying to figure out like exactly all the ways 391 00:24:39,119 --> 00:24:41,720 Speaker 1: it could be transmitted. Um. They found it in saliva, 392 00:24:41,800 --> 00:24:45,920 Speaker 1: they know it can be transmitted through um well through 393 00:24:46,040 --> 00:24:51,080 Speaker 1: sexy time. It can live in semen for seemingly longer 394 00:24:51,080 --> 00:24:53,560 Speaker 1: than in blood. Yeah, so when it's in your blood. 395 00:24:53,560 --> 00:24:55,959 Speaker 1: It stays there for like a week and then they're like, Okay, 396 00:24:56,000 --> 00:24:58,400 Speaker 1: where's it go. Obviously it stays in the body because 397 00:24:58,400 --> 00:25:00,720 Speaker 1: they did find it and some guys see mean, was 398 00:25:00,720 --> 00:25:03,520 Speaker 1: it like ten weeks after he was infected with zeka 399 00:25:04,560 --> 00:25:07,040 Speaker 1: um And they know that you can get it sexually 400 00:25:07,160 --> 00:25:10,560 Speaker 1: and through mosquitoes, but they've also found it in saliva um, 401 00:25:10,760 --> 00:25:15,920 Speaker 1: vaginal secretions. I think I think you're in in definitely 402 00:25:15,960 --> 00:25:20,280 Speaker 1: breast milk, which is another fear among mothers too, the 403 00:25:20,320 --> 00:25:24,040 Speaker 1: one the sexual transmission. I think the first couple of cases, 404 00:25:24,800 --> 00:25:28,320 Speaker 1: one was in Texas and a man was infected after 405 00:25:28,400 --> 00:25:32,560 Speaker 1: having sex with someone who came back from Venezuela that 406 00:25:32,680 --> 00:25:37,200 Speaker 1: was infected. So you know a little scary right, Uh. 407 00:25:37,200 --> 00:25:41,840 Speaker 1: And here's one of the rubs is in um. As 408 00:25:41,920 --> 00:25:44,800 Speaker 1: far as intercourse, there was a guy named researcher named 409 00:25:44,840 --> 00:25:50,080 Speaker 1: Brian Foy who published a paper this is five years 410 00:25:50,080 --> 00:25:55,520 Speaker 1: ago um in the journal Emerging Infectious Diseases, which is 411 00:25:55,520 --> 00:25:59,400 Speaker 1: a great to read at a dinner party. I tell you, 412 00:26:00,760 --> 00:26:03,919 Speaker 1: just pull that out and get the conversation going. But 413 00:26:04,040 --> 00:26:06,440 Speaker 1: he argued that there was evidence that you could transmit 414 00:26:06,680 --> 00:26:10,720 Speaker 1: zeca sexually, uh, through intercourse and he said, we need 415 00:26:10,720 --> 00:26:14,000 Speaker 1: to study this more and basically was denied and they said, 416 00:26:14,000 --> 00:26:18,679 Speaker 1: you know what, this is too obscure disease to give funding. Um, 417 00:26:19,680 --> 00:26:21,600 Speaker 1: which you know may have been the case, is sort 418 00:26:21,640 --> 00:26:24,240 Speaker 1: of a tough thing. You can't throw money at everything, 419 00:26:24,280 --> 00:26:27,280 Speaker 1: but it is frustrating when this guy was on this 420 00:26:27,560 --> 00:26:30,400 Speaker 1: five years ago, and it could be a lot further 421 00:26:30,440 --> 00:26:33,480 Speaker 1: along as far as learning more about the sexual transmission. 422 00:26:34,440 --> 00:26:37,640 Speaker 1: You know, yep, Zeka just wasn't hot enough back then. 423 00:26:38,040 --> 00:26:40,240 Speaker 1: So Chuck, people are saying, like, how how do we 424 00:26:40,280 --> 00:26:44,919 Speaker 1: stop this? For love of God, think of the children. Yeah, well, 425 00:26:46,520 --> 00:26:49,200 Speaker 1: the mosquito part is a big part of it, um, 426 00:26:49,200 --> 00:26:51,719 Speaker 1: and we talked a little bit about eradicating mosquitoes, but 427 00:26:51,760 --> 00:26:54,879 Speaker 1: you know, all the normal safe things, safe measures you 428 00:26:54,920 --> 00:26:58,760 Speaker 1: can take with mosquitoes you should obviously do if you're 429 00:26:58,800 --> 00:27:02,440 Speaker 1: in a place where Zeka might be uh more rampant 430 00:27:03,080 --> 00:27:05,800 Speaker 1: um and listen to our mosquito podcast for that. But 431 00:27:06,160 --> 00:27:10,440 Speaker 1: you know, in scropellent long sleeve shirts and pants, try 432 00:27:10,480 --> 00:27:13,040 Speaker 1: to not be outside during those times a day where 433 00:27:13,040 --> 00:27:16,399 Speaker 1: they're around more to all that stuff. But a vaccine 434 00:27:16,480 --> 00:27:20,600 Speaker 1: is what we're really looking for. Yeah, you know, there's 435 00:27:20,600 --> 00:27:23,080 Speaker 1: a there's apparently a few companies who are really trying 436 00:27:23,119 --> 00:27:25,640 Speaker 1: to race a vaccine to market and get fast tracked. 437 00:27:26,440 --> 00:27:29,639 Speaker 1: I think a company in India is the top contender 438 00:27:29,760 --> 00:27:32,959 Speaker 1: right now. And then you found one that seems pretty 439 00:27:33,040 --> 00:27:37,119 Speaker 1: legit too, So it's best I can figure. The n 440 00:27:37,160 --> 00:27:39,520 Speaker 1: i H has a division called the n I A 441 00:27:39,720 --> 00:27:46,880 Speaker 1: I D. Right, the National Institute for Allergic and Infectious Diseases. 442 00:27:46,920 --> 00:27:49,800 Speaker 1: I think that sounds right. But they are working on 443 00:27:49,840 --> 00:27:53,119 Speaker 1: a vaccine and they're using a similar approach to UM 444 00:27:53,200 --> 00:27:57,399 Speaker 1: what they have been successful with with West Nile, and 445 00:27:58,240 --> 00:28:01,680 Speaker 1: right now it is safe in the phase one of 446 00:28:01,720 --> 00:28:05,080 Speaker 1: the clinical trials, and they're trying to push forward. And 447 00:28:05,119 --> 00:28:08,439 Speaker 1: what they're doing is and UM, I don't fully understand this, 448 00:28:08,520 --> 00:28:11,040 Speaker 1: so I'm just gonna kind of read this part. But 449 00:28:11,280 --> 00:28:14,119 Speaker 1: they said their vaccine has a small circular piece of 450 00:28:14,200 --> 00:28:18,320 Speaker 1: DNA called the plasmid that they've engineered to contain genes 451 00:28:18,359 --> 00:28:20,840 Speaker 1: that code for the proteins of the virus. Then when 452 00:28:20,880 --> 00:28:24,480 Speaker 1: you inject that, the cells read those genes and make 453 00:28:24,520 --> 00:28:28,280 Speaker 1: those virus proteins, and then they self as symbol into 454 00:28:28,320 --> 00:28:32,119 Speaker 1: the virus like particles. Then that gets that immune system 455 00:28:32,240 --> 00:28:37,200 Speaker 1: kicked into gear. So you're putting in a basically an 456 00:28:37,280 --> 00:28:42,000 Speaker 1: artificial version that's not that's not infectious. Yeah, that's the key, 457 00:28:42,040 --> 00:28:44,480 Speaker 1: I think. Yeah, yeah, because I mean, like you, you 458 00:28:44,720 --> 00:28:51,520 Speaker 1: couldn't possibly transmit that that artificial zekea virus um to 459 00:28:51,600 --> 00:28:55,160 Speaker 1: anybody else, but it will still mount it will still 460 00:28:55,160 --> 00:28:57,880 Speaker 1: get your body to mountain immune response, and that would 461 00:28:57,880 --> 00:28:59,920 Speaker 1: mean that when you actually do come in contact with 462 00:29:00,040 --> 00:29:03,840 Speaker 1: the actual zecovirus would be toast. Yeah. And this is 463 00:29:03,880 --> 00:29:06,440 Speaker 1: just one of the vaccines that they're continuing in a 464 00:29:06,480 --> 00:29:09,040 Speaker 1: in a trial run. But um, I think, I mean, 465 00:29:09,440 --> 00:29:11,880 Speaker 1: there are several that they're, like you said, a couple 466 00:29:11,920 --> 00:29:14,280 Speaker 1: in India, they're trying to get through, Like a lot 467 00:29:14,320 --> 00:29:17,160 Speaker 1: of people are hard at work trying to conquer this 468 00:29:17,200 --> 00:29:22,800 Speaker 1: thing via vaccinations. And again there's a real tremendous fear 469 00:29:22,920 --> 00:29:28,440 Speaker 1: that um that the public will and public funding will 470 00:29:28,520 --> 00:29:32,040 Speaker 1: dry up when this makes it out of the news cycle, 471 00:29:32,120 --> 00:29:34,680 Speaker 1: when it's dropped from the news cycle, you know. Yeah, 472 00:29:34,720 --> 00:29:37,400 Speaker 1: And speaking of funding, well, should we take a break. 473 00:29:37,800 --> 00:29:42,280 Speaker 1: That's a good little tease, speaking of funding. The stage 474 00:29:42,320 --> 00:29:44,640 Speaker 1: coach is about to go off the cliff. All right, 475 00:29:44,640 --> 00:30:15,320 Speaker 1: we'll be right back, Okay, we're back in Chuck. We're 476 00:30:15,360 --> 00:30:19,880 Speaker 1: talking about funding, yes, uh, and not only do is 477 00:30:19,960 --> 00:30:22,479 Speaker 1: funding possibly going to be a problem when the zeka 478 00:30:22,800 --> 00:30:29,200 Speaker 1: um outbreak goes away, which inevitably will we hope. Um, 479 00:30:29,240 --> 00:30:32,520 Speaker 1: there's actually a huge problem with funding right now. The 480 00:30:32,520 --> 00:30:36,960 Speaker 1: the CDC head Thomas Frieden that his name, Yeah, I 481 00:30:36,960 --> 00:30:42,880 Speaker 1: think that's it. Um. He took to the airwaves and said, uh, guys, 482 00:30:42,920 --> 00:30:45,200 Speaker 1: we're running out of money and we need Congress to 483 00:30:45,240 --> 00:30:50,200 Speaker 1: come back in session and give us some asap for Zeka. Yeah. 484 00:30:50,200 --> 00:30:53,240 Speaker 1: So the timeline on this is last year early last year. 485 00:30:54,200 --> 00:30:58,280 Speaker 1: President Obama said, Congress, can we have one point nine 486 00:30:58,320 --> 00:31:01,520 Speaker 1: billion uh an emergency funds for Zeka to help fight 487 00:31:01,600 --> 00:31:06,640 Speaker 1: Zeka and uh Congress said no. Um. They said wait 488 00:31:06,640 --> 00:31:09,320 Speaker 1: wait Obama, are you asking and said, well, yeah, I'm asking, 489 00:31:09,320 --> 00:31:13,160 Speaker 1: and they said no. Yeah. The controlling Republicans said that. 490 00:31:13,200 --> 00:31:16,760 Speaker 1: They said, we want more accountability for the money where 491 00:31:16,760 --> 00:31:20,320 Speaker 1: it's going, and why don't you take some of the 492 00:31:20,320 --> 00:31:23,080 Speaker 1: money left over from Ebola and other projects and use 493 00:31:23,160 --> 00:31:26,920 Speaker 1: that instead? Or they said, or we could do this, 494 00:31:27,000 --> 00:31:29,000 Speaker 1: We could take money away from Planned Parenthood if you 495 00:31:29,000 --> 00:31:31,920 Speaker 1: want money for Zeka. And then the Democrats were like, well, 496 00:31:31,960 --> 00:31:37,760 Speaker 1: that's not very nice and un it turned political, no surprise, 497 00:31:37,880 --> 00:31:42,560 Speaker 1: but um, they CDC did in fact end up taking 498 00:31:42,560 --> 00:31:45,880 Speaker 1: money from Ebola. I think, Um, how much was it? 499 00:31:45,960 --> 00:31:49,360 Speaker 1: Thirty eight million dollars from Ebola funding and forty four 500 00:31:49,400 --> 00:31:52,960 Speaker 1: million from emergency response funding, which is really scary because 501 00:31:52,960 --> 00:31:57,440 Speaker 1: that means if something really big happened here in the US, uh, 502 00:31:57,480 --> 00:32:00,120 Speaker 1: in terms of Zica, they may not literally may not 503 00:32:00,200 --> 00:32:03,080 Speaker 1: have the money to send teams of people to wherever 504 00:32:03,160 --> 00:32:06,320 Speaker 1: that is. Yeah, so they're nicking money from these other programs. 505 00:32:06,320 --> 00:32:09,600 Speaker 1: They're saying, we really need this to be seriously funded, 506 00:32:10,040 --> 00:32:14,800 Speaker 1: and right now politics is getting in the way. Yeah, 507 00:32:15,000 --> 00:32:19,800 Speaker 1: which is pretty sad because again, think of the children. Yeah, 508 00:32:19,880 --> 00:32:21,680 Speaker 1: and hopefully this will change and they'll get the funding 509 00:32:21,720 --> 00:32:23,520 Speaker 1: they need. But right now, I mean Fred and I 510 00:32:23,520 --> 00:32:27,040 Speaker 1: don't know if he's crying wolf too much to try 511 00:32:27,040 --> 00:32:29,280 Speaker 1: and get the public worked up, but he's he seems 512 00:32:29,320 --> 00:32:33,000 Speaker 1: to think that it's pretty dire and that they need 513 00:32:33,040 --> 00:32:36,000 Speaker 1: these resources. So I'm just I'm taking the man at 514 00:32:36,040 --> 00:32:38,280 Speaker 1: his word. At this point, he said that of the 515 00:32:38,360 --> 00:32:41,280 Speaker 1: two and twenty million that they had allocated for ZEKA, 516 00:32:41,320 --> 00:32:44,760 Speaker 1: twenty millions already out the door, and if they've already 517 00:32:44,880 --> 00:32:48,680 Speaker 1: used another, um, you know, forty four million from UH 518 00:32:49,280 --> 00:32:53,120 Speaker 1: emergency response funding, thirty eight million from a bola I 519 00:32:53,160 --> 00:32:57,920 Speaker 1: would I would guess that, yes, there's some problems coming. Yeah. Um. 520 00:32:57,960 --> 00:33:01,680 Speaker 1: The CDs, speaking of the CDC, they actually um did 521 00:33:01,760 --> 00:33:04,560 Speaker 1: something as a result of the Szeka outbreak that they've 522 00:33:04,600 --> 00:33:08,959 Speaker 1: never done before. They issued a travel warning advisory against 523 00:33:09,040 --> 00:33:13,160 Speaker 1: traveled to a place in America. I've never done that before. 524 00:33:13,200 --> 00:33:17,240 Speaker 1: It's always been somewhere else outside of the country. But um, 525 00:33:17,320 --> 00:33:20,520 Speaker 1: when I think in August, the beginning of August, when 526 00:33:20,520 --> 00:33:26,120 Speaker 1: there was an outbreak of zica, including a local UH transmission, 527 00:33:26,160 --> 00:33:30,040 Speaker 1: which means that it wasn't up to that point, there 528 00:33:30,120 --> 00:33:33,880 Speaker 1: were a couple of thousand cases of zeka in the 529 00:33:33,960 --> 00:33:36,640 Speaker 1: United States, but all of them were people who went 530 00:33:36,680 --> 00:33:40,120 Speaker 1: to the Caribbean, or to Africa, or to the America's 531 00:33:40,200 --> 00:33:43,560 Speaker 1: or to Southeast Asia, got bit by an agudas a 532 00:33:43,640 --> 00:33:48,080 Speaker 1: Gypti mosquito and then came back and they were at 533 00:33:48,160 --> 00:33:51,640 Speaker 1: risk of possibly transmitting it sexually or of a mosquito 534 00:33:51,760 --> 00:33:54,400 Speaker 1: biting them and spreading it. Well, that apparently finally happened 535 00:33:54,440 --> 00:33:57,360 Speaker 1: because someone in Miami was bit by a mosquito and 536 00:33:57,400 --> 00:34:01,400 Speaker 1: contracted ZEKA. So that means that it is it had 537 00:34:01,600 --> 00:34:05,520 Speaker 1: entered the mosquito, the wild mosquito population, And that's what 538 00:34:05,720 --> 00:34:09,320 Speaker 1: really started to get um. The CDC and others worried 539 00:34:09,600 --> 00:34:13,000 Speaker 1: because they said, for it is tough right now. Yeah, 540 00:34:13,160 --> 00:34:15,759 Speaker 1: I mean it's it's not like rampant or anything, but 541 00:34:16,120 --> 00:34:18,839 Speaker 1: they're the cases are are accumulating to the point where 542 00:34:18,840 --> 00:34:20,840 Speaker 1: people are getting a little worried. Yeah. And and again 543 00:34:20,880 --> 00:34:24,680 Speaker 1: if you go to the Caribbean and come back with Zica, 544 00:34:24,760 --> 00:34:27,399 Speaker 1: they weren't too worried about that. What was worrying them 545 00:34:27,440 --> 00:34:30,879 Speaker 1: is the idea of mosquitoes getting it, because they said 546 00:34:31,160 --> 00:34:33,600 Speaker 1: humans are not the vectors of transmission that we need 547 00:34:33,600 --> 00:34:36,719 Speaker 1: to be worried about. It's the mosquitoes. Well, in Puerto 548 00:34:36,800 --> 00:34:41,160 Speaker 1: Rico is a big problem right now. Um. In fact 549 00:34:41,160 --> 00:34:43,280 Speaker 1: that the name of this article I got was Puerto 550 00:34:43,360 --> 00:34:46,600 Speaker 1: Rico is ground zero. Uh it's not literally ground zero, 551 00:34:46,719 --> 00:34:48,799 Speaker 1: but as far as the US is concerned, it is 552 00:34:48,840 --> 00:34:51,600 Speaker 1: probably you know, they're American citizens. And at this rate, 553 00:34:51,680 --> 00:34:55,279 Speaker 1: two thousand people a week are getting infected in Puerto Rico. 554 00:34:55,800 --> 00:35:00,960 Speaker 1: And they said, if this holds of their entire population, 555 00:35:01,000 --> 00:35:05,400 Speaker 1: by the end of the year could be infected with zica. Uh, 556 00:35:05,480 --> 00:35:10,120 Speaker 1: more than pregnant women. I'm sorry, did you see? Yeah, 557 00:35:10,160 --> 00:35:12,400 Speaker 1: it says a quarter of their three point five million 558 00:35:12,760 --> 00:35:15,239 Speaker 1: uh population could get it by the end of this year. 559 00:35:15,960 --> 00:35:20,359 Speaker 1: And you know we're in almost September. Wow, so uh 560 00:35:20,400 --> 00:35:25,719 Speaker 1: more than women pregnant women have tested positive. And um, man, 561 00:35:25,800 --> 00:35:28,359 Speaker 1: I feel so bad for those women. I'll bet they 562 00:35:28,360 --> 00:35:32,960 Speaker 1: are losing their minds with just fear right now. As 563 00:35:32,960 --> 00:35:38,000 Speaker 1: if you know, pregnancy isn't you know? Yeah? Uh. And 564 00:35:38,040 --> 00:35:40,239 Speaker 1: there are a lot of problems in Puerto Rico, or 565 00:35:40,280 --> 00:35:42,520 Speaker 1: a lot of challenges at least, um it reigns a lot. 566 00:35:43,040 --> 00:35:47,080 Speaker 1: There are a lot of puddles, a lot of mosquitoes. Um, 567 00:35:47,160 --> 00:35:49,920 Speaker 1: one of the big They're in a financial crisis and 568 00:35:50,080 --> 00:35:54,200 Speaker 1: one of their main sources of income is tourism and 569 00:35:54,239 --> 00:35:57,760 Speaker 1: this is not helping their tourism in any way. So 570 00:35:58,200 --> 00:36:01,920 Speaker 1: uh they need funding for re and um they were 571 00:36:01,920 --> 00:36:04,640 Speaker 1: gonna do some mass spraying, but the people said no, 572 00:36:05,480 --> 00:36:08,960 Speaker 1: it's dangerous. There was apparently also mosquitoes have developed a 573 00:36:09,000 --> 00:36:13,360 Speaker 1: lot of tolerance to that over the decades too. They 574 00:36:13,400 --> 00:36:16,880 Speaker 1: found one certain insecticide that they said is working a 575 00:36:16,880 --> 00:36:20,200 Speaker 1: lot better but there's a lot of resistance to it. 576 00:36:20,320 --> 00:36:23,600 Speaker 1: So um, right now, the CDC says, if you're pregnant, 577 00:36:23,719 --> 00:36:27,960 Speaker 1: don't go to Puerto Rico, and uh, wait at least 578 00:36:27,960 --> 00:36:31,719 Speaker 1: two months before trying to get pregnant after you come home, 579 00:36:32,239 --> 00:36:36,479 Speaker 1: if that's in your plans. And uh I've even seen 580 00:36:36,520 --> 00:36:39,120 Speaker 1: some people say, if you go to Puerto Rico, you know, 581 00:36:39,760 --> 00:36:43,719 Speaker 1: don't have sex or make sure you practice safe sex. Yeah, 582 00:36:43,880 --> 00:36:46,240 Speaker 1: but none of that bodes well for their tourism industry, 583 00:36:46,520 --> 00:36:47,920 Speaker 1: which is where a lot of their dope comes from. 584 00:36:48,000 --> 00:36:51,400 Speaker 1: Come to Puerto Rico and don't have sex afterwards. Yeah, 585 00:36:51,480 --> 00:36:55,719 Speaker 1: that's not a good slogan. It's definitely not. Um. So, 586 00:36:55,960 --> 00:36:58,840 Speaker 1: I want to specify, the CDC didn't say that you 587 00:36:58,880 --> 00:37:01,960 Speaker 1: should not go to Florida. They said that you should 588 00:37:01,960 --> 00:37:06,400 Speaker 1: not go to this particular spot in North Miami or 589 00:37:06,760 --> 00:37:10,080 Speaker 1: just north of downtown Miami. There's a neighborhood that was 590 00:37:10,200 --> 00:37:13,000 Speaker 1: kind of ground zero for this outbreak. But Florida and 591 00:37:13,040 --> 00:37:16,080 Speaker 1: in and of itself is suffering as far as tourism 592 00:37:16,120 --> 00:37:19,320 Speaker 1: goes um or on the press pits of really suffering 593 00:37:19,360 --> 00:37:22,719 Speaker 1: depending on how this outbreak goes down there um and 594 00:37:22,800 --> 00:37:26,680 Speaker 1: as a result, like Walt Disney World and Universal Florida 595 00:37:26,719 --> 00:37:30,680 Speaker 1: and SeaWorld all now are just kind of casually giving 596 00:37:30,719 --> 00:37:35,560 Speaker 1: you a uh small aerosol can of complimentary UM mosquito 597 00:37:35,640 --> 00:37:39,480 Speaker 1: spray whenever you come into the park. Yeah, they're not 598 00:37:39,680 --> 00:37:43,080 Speaker 1: um and probably rightfully so they're not putting up signs 599 00:37:43,120 --> 00:37:46,160 Speaker 1: that say ZEKA because that would be a pr disaster. 600 00:37:46,800 --> 00:37:49,920 Speaker 1: But I think it's pretty clear what's going on, is there. Yeah, like, 601 00:37:49,960 --> 00:37:53,160 Speaker 1: here's your ticket, and here's your stub, and here's your 602 00:37:53,719 --> 00:37:58,760 Speaker 1: deep deep Mickey Mouse brand deep. You know. So, Chuck, 603 00:37:58,800 --> 00:38:03,959 Speaker 1: how do you diagnoses zeka if you are worried about it? Well, 604 00:38:04,000 --> 00:38:07,960 Speaker 1: one of them, like a lot of these uh diseases 605 00:38:07,960 --> 00:38:10,879 Speaker 1: that you might catch abroad. One of the first things 606 00:38:10,880 --> 00:38:12,920 Speaker 1: they do is say where have you been lately? Have 607 00:38:13,000 --> 00:38:15,880 Speaker 1: you traveled? And where? They Yeah, if you say, well, 608 00:38:15,920 --> 00:38:19,200 Speaker 1: I was in Brazil and yeah, that's another thing too. 609 00:38:19,520 --> 00:38:22,000 Speaker 1: Let's have the Olympics so the whole world comes together 610 00:38:22,320 --> 00:38:24,920 Speaker 1: at ground zero for the current ZEKA outbreak. That was 611 00:38:24,920 --> 00:38:27,319 Speaker 1: a big worry, But apparently no one associated with the 612 00:38:27,320 --> 00:38:30,480 Speaker 1: Olympics has tested positive for ZEKA. It's been over for 613 00:38:30,520 --> 00:38:33,320 Speaker 1: a couple of weeks now, that's good. Sorry, for interrupting. 614 00:38:33,320 --> 00:38:35,640 Speaker 1: I don't know. I was actually I was wondering about 615 00:38:35,640 --> 00:38:36,920 Speaker 1: that because I knew it was a big fear of 616 00:38:37,000 --> 00:38:40,040 Speaker 1: going in. UM. Yeah, so they're gonna say where have 617 00:38:40,080 --> 00:38:43,040 Speaker 1: you been traveling? Ask what kind of symptoms, and we 618 00:38:43,080 --> 00:38:45,880 Speaker 1: already went over those, and then they're gonna just basically 619 00:38:46,080 --> 00:38:49,120 Speaker 1: give you blood and urine tests and that'll let them 620 00:38:49,120 --> 00:38:51,480 Speaker 1: know pretty quick what's going on. Yeah. I think they 621 00:38:51,520 --> 00:38:55,200 Speaker 1: can actually detect the virus itself in your blood, but again, 622 00:38:55,239 --> 00:38:58,000 Speaker 1: it leaves the blood after a week and starts going 623 00:38:58,040 --> 00:39:01,239 Speaker 1: other places. And once that's um the case, I think 624 00:39:01,239 --> 00:39:05,359 Speaker 1: they can do saliva tests and detect antibodies in your 625 00:39:05,360 --> 00:39:09,360 Speaker 1: saliva and urine. They should just do all those tests, 626 00:39:09,360 --> 00:39:11,399 Speaker 1: like don't even ask me where I've been, Just take 627 00:39:11,520 --> 00:39:14,560 Speaker 1: some blood and or maybe ask where I been because 628 00:39:14,560 --> 00:39:16,879 Speaker 1: that doesn't take long. Yeah, but do it as you're 629 00:39:16,920 --> 00:39:20,399 Speaker 1: drawing my blood. Well these days, I mean, I mean, 630 00:39:20,840 --> 00:39:24,960 Speaker 1: it doesn't really matter where you've been. Increasingly, yeah, because 631 00:39:24,960 --> 00:39:27,680 Speaker 1: it's starting to creep up and chuck. Actually, we have 632 00:39:27,760 --> 00:39:33,640 Speaker 1: to say this is really important before you um take anything. 633 00:39:33,880 --> 00:39:35,960 Speaker 1: If you think you have ZEKA, you have to be 634 00:39:36,000 --> 00:39:39,920 Speaker 1: diagnosed with ZEKA before you can take end sets like 635 00:39:40,000 --> 00:39:43,359 Speaker 1: advil or a leave or a motor in something like that, 636 00:39:43,880 --> 00:39:48,040 Speaker 1: because it's possible you actually have dn gay fever, in 637 00:39:48,080 --> 00:39:51,279 Speaker 1: which case because the symptoms are very similar. And if 638 00:39:51,320 --> 00:39:53,759 Speaker 1: you do have dan gay and you cannot take end 639 00:39:53,800 --> 00:39:58,520 Speaker 1: seats because dan gay um blocks the action of platelets 640 00:39:58,600 --> 00:40:03,319 Speaker 1: which are clot that help with clotting, right, and so 641 00:40:03,480 --> 00:40:05,680 Speaker 1: to do end said, so you put end seats and 642 00:40:05,800 --> 00:40:09,480 Speaker 1: dena together and you can hemorrhage pretty easily. Yeah, that's 643 00:40:09,480 --> 00:40:12,560 Speaker 1: not good. Now, if you're worried about this, then you're 644 00:40:12,760 --> 00:40:16,360 Speaker 1: in uh, Michigan. You probably don't need to unless you 645 00:40:16,400 --> 00:40:20,560 Speaker 1: get it through sexual transmission or Canada totally out of 646 00:40:20,560 --> 00:40:24,319 Speaker 1: the question again, except through sexual transmission, because this is 647 00:40:24,480 --> 00:40:26,440 Speaker 1: very much out of the range of the Agudas and 648 00:40:26,520 --> 00:40:31,279 Speaker 1: jyptime Mosquito UM. It's just parts of the South, the 649 00:40:31,320 --> 00:40:35,680 Speaker 1: American South, Southeast UM a little bit, it creeps up 650 00:40:35,719 --> 00:40:39,400 Speaker 1: a little bit into the Midwest UM, and then all 651 00:40:39,640 --> 00:40:45,839 Speaker 1: basically of South America, Africa, Southeast Asia, UM. California, Yeah, 652 00:40:45,880 --> 00:40:50,479 Speaker 1: parts of California. There's a really helpful map if you're 653 00:40:50,520 --> 00:40:55,680 Speaker 1: just panicking right now on the World Health Organization website 654 00:40:55,360 --> 00:40:59,879 Speaker 1: that don't panic. Yeah, I don't panic. There's no cause 655 00:40:59,920 --> 00:41:04,239 Speaker 1: to panic now, Uh, please don't panic. No, I think 656 00:41:04,280 --> 00:41:07,960 Speaker 1: the best practice is to educate yourself by listening to 657 00:41:08,000 --> 00:41:11,880 Speaker 1: this and um, then spreading fear to everyone, you know, 658 00:41:13,040 --> 00:41:16,600 Speaker 1: just kidding, great advice. That was a top, top notch 659 00:41:17,000 --> 00:41:21,160 Speaker 1: way to end this way. Yeah, be very uh column 660 00:41:21,160 --> 00:41:25,799 Speaker 1: and everything and just spread fear right play queens, just 661 00:41:25,840 --> 00:41:30,000 Speaker 1: did uh you got anything else? No? Um? How much 662 00:41:30,000 --> 00:41:31,719 Speaker 1: of this is out of date already? Do you think? 663 00:41:31,960 --> 00:41:35,319 Speaker 1: Probably that's not too bad. I can live with that. Yeah, 664 00:41:35,400 --> 00:41:40,799 Speaker 1: we get wrong anyway. If you want to know more 665 00:41:40,800 --> 00:41:44,400 Speaker 1: about Zica, well to surf the web man. There's plenty 666 00:41:44,440 --> 00:41:46,920 Speaker 1: out there. And since I said surf the web, it's 667 00:41:46,960 --> 00:41:52,400 Speaker 1: time for listener mail. I'm gonna call this Bacon buddy. 668 00:41:53,360 --> 00:41:57,160 Speaker 1: Remember we were talking about bacon buddy. Yeah, the b 669 00:41:57,320 --> 00:41:59,840 Speaker 1: U T T Y, which I didn't know what it 670 00:41:59,920 --> 00:42:02,479 Speaker 1: was us. I didn't either, but now we do because 671 00:42:02,480 --> 00:42:07,160 Speaker 1: they're good friends in the United Kingdom have written us. Yeah. 672 00:42:07,200 --> 00:42:10,040 Speaker 1: I wish somebody would have brought this up before we went, 673 00:42:10,080 --> 00:42:13,239 Speaker 1: because I would have been on the lookout for them. Bees. Well, well, 674 00:42:13,280 --> 00:42:15,440 Speaker 1: I'll get to it. Hey, guys, can't believe you have 675 00:42:15,520 --> 00:42:19,200 Speaker 1: never heard of the amazing bacon buddy. Just that name 676 00:42:19,239 --> 00:42:22,840 Speaker 1: sounds great, a little bacon buddy, even though it'spelled differently, 677 00:42:23,440 --> 00:42:26,440 Speaker 1: especially if you've recently been to England, home of the buddy. 678 00:42:27,040 --> 00:42:30,960 Speaker 1: The word buddy is a UK British shorthand for buttered 679 00:42:31,080 --> 00:42:35,359 Speaker 1: sandwich or roll like uh like you know, remember when 680 00:42:35,360 --> 00:42:38,520 Speaker 1: I was saying chippy for fish and chips, except cute 681 00:42:38,520 --> 00:42:41,480 Speaker 1: ways of shortening things. So a bacon buddy is essentially 682 00:42:41,520 --> 00:42:44,960 Speaker 1: a bacon sandwich or roll with a on a roll 683 00:42:45,080 --> 00:42:48,279 Speaker 1: with a lovely helping of butter, or if you're mean, 684 00:42:48,560 --> 00:42:51,279 Speaker 1: you love it with HP sauce. Yeah, that could be 685 00:42:51,320 --> 00:42:55,279 Speaker 1: good too. They love their HP sauce HP. Is that 686 00:42:55,320 --> 00:42:59,680 Speaker 1: what you're saying? Another cracking buddy you might have heard 687 00:42:59,680 --> 00:43:03,640 Speaker 1: of in the past are chip buddies, as you call 688 00:43:03,719 --> 00:43:05,799 Speaker 1: French fries. So the next time you're in the UK, 689 00:43:05,920 --> 00:43:08,200 Speaker 1: pop into any fish and chip shop ask for a 690 00:43:08,280 --> 00:43:11,960 Speaker 1: chip buddy. You get a crusty roll loaded with chips, 691 00:43:12,280 --> 00:43:14,880 Speaker 1: covered in vinegar and salt. So bad for you, but 692 00:43:15,000 --> 00:43:18,720 Speaker 1: so tasty. On a slightly separate note, Chuck's hearing Chuck's 693 00:43:18,760 --> 00:43:21,200 Speaker 1: love for mayonnaise makes me so happy because I am 694 00:43:21,239 --> 00:43:23,960 Speaker 1: also slightly addicted to the stuff. When I was younger, 695 00:43:24,000 --> 00:43:27,480 Speaker 1: I would eat what I called it cheesy dunkers. I 696 00:43:27,560 --> 00:43:31,359 Speaker 1: love this, dude. This was essentially cheddar cheese cut into long, 697 00:43:31,400 --> 00:43:34,040 Speaker 1: thick strips which I would then dunk into my pot 698 00:43:34,040 --> 00:43:40,160 Speaker 1: of helmets mayonnaise man, cheesy dunk a mall uh. Great 699 00:43:40,160 --> 00:43:41,880 Speaker 1: show as usual, guys, keep doing what you're doing. That 700 00:43:41,920 --> 00:43:44,600 Speaker 1: is from Kyle Chandler from Kent, England, but right now 701 00:43:44,600 --> 00:43:48,920 Speaker 1: in South Korea. And two things I would add, I 702 00:43:49,040 --> 00:43:54,240 Speaker 1: was totally wrong about baoli. It is garlic based by definitions. 703 00:43:55,440 --> 00:43:59,759 Speaker 1: I didn't stand up for myself. You were fine and 704 00:44:00,080 --> 00:44:03,080 Speaker 1: dum too. I've had a bacon, buddy, I didn't know it. No, 705 00:44:03,600 --> 00:44:09,200 Speaker 1: I was in the sky lounge at at Uh. Stop 706 00:44:09,239 --> 00:44:12,840 Speaker 1: probbing that in my face. The sky lounge membership you have, 707 00:44:12,960 --> 00:44:15,480 Speaker 1: it can be yours, but I want it for free. 708 00:44:15,640 --> 00:44:20,719 Speaker 1: Well here's the thing, dude. You eat and drink well 709 00:44:20,760 --> 00:44:23,879 Speaker 1: over four fifty dollars in a year worth of free 710 00:44:23,880 --> 00:44:26,719 Speaker 1: stuff in these sky lounges. Oh yeah I could. I 711 00:44:26,760 --> 00:44:28,839 Speaker 1: could probably do that and then visit I was at 712 00:44:28,880 --> 00:44:31,359 Speaker 1: one the other day. I just went to Cleveland, had 713 00:44:31,520 --> 00:44:34,480 Speaker 1: two bloody Mary's and a buffet meal for free. It's 714 00:44:34,520 --> 00:44:38,160 Speaker 1: like thirty five dollars in an airport. Yeah, I'm telling you, 715 00:44:38,200 --> 00:44:40,600 Speaker 1: I'm keeping tally like I'm gonna make my money back 716 00:44:40,640 --> 00:44:43,960 Speaker 1: on you have a little ledger. I do you put 717 00:44:43,960 --> 00:44:48,120 Speaker 1: on your little Bankers visor with the Greenville one bacon 718 00:44:48,160 --> 00:44:52,279 Speaker 1: buddy one whiskey? How was the bacon buddy? Well, it's 719 00:44:52,320 --> 00:44:55,719 Speaker 1: delicious and um someone else rode in. The bacon that 720 00:44:55,840 --> 00:44:57,719 Speaker 1: they have over there is different than what we have 721 00:44:57,880 --> 00:45:00,879 Speaker 1: over here. Yeah, it looked like because I fat back 722 00:45:00,960 --> 00:45:03,200 Speaker 1: or something. Yeah, they call it streaky bacon, this big 723 00:45:03,239 --> 00:45:07,520 Speaker 1: wide hammy chunks man, and I got it. Wasn't called 724 00:45:07,520 --> 00:45:09,280 Speaker 1: a bacon buddy on the menu. Was just called bacon 725 00:45:09,320 --> 00:45:12,759 Speaker 1: on a roll because nobody would know what you're talking about. 726 00:45:12,800 --> 00:45:15,239 Speaker 1: What they call it bacon buddy. Yeah, and uh so 727 00:45:15,320 --> 00:45:16,880 Speaker 1: I did had a bacon buddy, and I loaded it 728 00:45:16,920 --> 00:45:19,400 Speaker 1: with butter and it was see in America we have 729 00:45:19,520 --> 00:45:22,520 Speaker 1: that with egg and cheese all wrapped up. But just 730 00:45:22,640 --> 00:45:27,239 Speaker 1: the bacon is enough for them. Sure, and it was delicious. Yeah, 731 00:45:27,239 --> 00:45:32,080 Speaker 1: we call it the enormous sandwich burger king. I haven't 732 00:45:32,080 --> 00:45:35,680 Speaker 1: had that one, Oh you haven't. It's basically everything you 733 00:45:35,680 --> 00:45:38,359 Speaker 1: could possibly eat for breakfast on like a HOGI roll 734 00:45:39,560 --> 00:45:44,239 Speaker 1: us say yeah yeah uh. If you want to get 735 00:45:44,280 --> 00:45:46,480 Speaker 1: in touch with Chuck or me, you can hang out 736 00:45:46,480 --> 00:45:48,520 Speaker 1: with us on Twitter at s Y s K Podcast 737 00:45:48,560 --> 00:45:50,520 Speaker 1: so you can look me up at Josh M. Clark. 738 00:45:51,160 --> 00:45:53,239 Speaker 1: You can hang out with Chuck at Charles W. Chuck 739 00:45:53,320 --> 00:45:57,120 Speaker 1: Bryant on Facebook or our official page is Facebook dot 740 00:45:57,120 --> 00:45:59,279 Speaker 1: com slash stuff you Should Know send us an email. 741 00:45:59,360 --> 00:46:01,439 Speaker 1: The Stuff Pod guests at how stuff Works dot com 742 00:46:01,480 --> 00:46:03,640 Speaker 1: and has always joined us at our home on the web, 743 00:46:04,000 --> 00:46:12,120 Speaker 1: the slightly cluegy Stuff you Should Know dot com. For 744 00:46:12,239 --> 00:46:14,759 Speaker 1: more on this and thousands of other topics, visit how 745 00:46:14,800 --> 00:46:22,920 Speaker 1: stuff Works dot com.