1 00:00:01,560 --> 00:00:04,720 Speaker 1: Welcome to Stuff from the Science Lab from how stuff 2 00:00:04,760 --> 00:00:16,439 Speaker 1: Works dot com. Hey guys, welcome to the podcast. This 3 00:00:16,520 --> 00:00:18,079 Speaker 1: is Alice and I don't know like the science editor 4 00:00:18,200 --> 00:00:20,640 Speaker 1: how stuff works dot com. And this is Robert Lamb, 5 00:00:20,640 --> 00:00:23,920 Speaker 1: science writer's how stuff Works dot com. And we are 6 00:00:23,960 --> 00:00:29,920 Speaker 1: podcasting to you from the Georgia summer means and mosquito. Yes, 7 00:00:30,160 --> 00:00:33,000 Speaker 1: lots of mosquitoes, So let's talk about the obvious question 8 00:00:33,040 --> 00:00:36,640 Speaker 1: out there. Do you mosquitoes flocked towards you? That seems 9 00:00:36,640 --> 00:00:39,640 Speaker 1: to be like, like, anytime I'm in an outdoor event 10 00:00:39,760 --> 00:00:41,599 Speaker 1: like that and someone gets bit in my mosquito, that's 11 00:00:41,600 --> 00:00:44,559 Speaker 1: like the instant conversation topic because someone's always like, I'm 12 00:00:44,640 --> 00:00:47,760 Speaker 1: mosky debate or they'll be like, normally I get bitten 13 00:00:47,800 --> 00:00:50,279 Speaker 1: by mosquitoes and my husband doesn't, or you know, it's 14 00:00:50,360 --> 00:00:53,239 Speaker 1: vice versa. I mean, it's something we all have some 15 00:00:53,280 --> 00:00:55,320 Speaker 1: experience with. I don't think any of us have necessarily 16 00:00:55,320 --> 00:00:57,760 Speaker 1: figured it out. So I had my Emma staying with 17 00:00:57,880 --> 00:01:01,360 Speaker 1: us a few weeks ago, and my mother in law 18 00:01:01,400 --> 00:01:04,280 Speaker 1: happens to be one of the people who she says, 19 00:01:04,880 --> 00:01:06,720 Speaker 1: mosquitoes flack to and she gets a lot of bites 20 00:01:06,760 --> 00:01:09,399 Speaker 1: and no kidding. She went up to um sort of 21 00:01:09,440 --> 00:01:12,560 Speaker 1: this loft spare room area that we have a whole 22 00:01:12,560 --> 00:01:15,199 Speaker 1: bunch of our stuff in and also our lovely guests 23 00:01:15,240 --> 00:01:20,319 Speaker 1: get to stand. And actually, no, that's the point. I mean, 24 00:01:20,440 --> 00:01:22,880 Speaker 1: nothing's really, nobody's really ever up there. You know, we 25 00:01:22,920 --> 00:01:25,600 Speaker 1: never go up there. There's a fan going, you know, 26 00:01:25,760 --> 00:01:27,960 Speaker 1: so maybe the fan would deflect mosquitoes. But she went 27 00:01:28,040 --> 00:01:31,080 Speaker 1: up there and within minutes she was bitten five times. 28 00:01:32,080 --> 00:01:34,520 Speaker 1: I felt bad, I felt terrible. I felt like she lived, 29 00:01:34,640 --> 00:01:36,400 Speaker 1: you know, she thought we lived in some you know, 30 00:01:37,000 --> 00:01:41,720 Speaker 1: mosquito ridden hobble. But I think they really do like her. Wow. 31 00:01:41,800 --> 00:01:44,440 Speaker 1: And and that comes down to the interesting question do 32 00:01:44,520 --> 00:01:47,080 Speaker 1: mosquitoes really like some people more than others or is 33 00:01:47,160 --> 00:01:50,680 Speaker 1: this just kind of um, you know barbecue hearsay, Well, 34 00:01:50,760 --> 00:01:52,480 Speaker 1: you can you can count on science to get to 35 00:01:52,480 --> 00:01:54,120 Speaker 1: the bottom of some of these mysteries. So we did 36 00:01:54,120 --> 00:01:56,720 Speaker 1: a little digging, and as it turns out, they really 37 00:01:56,720 --> 00:01:59,640 Speaker 1: do exhibit a preference for certain folks. So there was 38 00:01:59,680 --> 00:02:01,880 Speaker 1: a In Chee thousand one, a guy by the name 39 00:02:01,920 --> 00:02:06,440 Speaker 1: of David W. Kelly published a paper in Trends in Parasitology, 40 00:02:06,720 --> 00:02:10,160 Speaker 1: and it was called, appropriately enough, why are some people 41 00:02:10,240 --> 00:02:14,440 Speaker 1: bitten more than others the scientists and their titles. That 42 00:02:14,480 --> 00:02:17,720 Speaker 1: was a pretty good one. Um. In this case, Kelly 43 00:02:17,760 --> 00:02:20,760 Speaker 1: says humans will get bitten by blood sucking insects, and 44 00:02:20,800 --> 00:02:22,640 Speaker 1: frequently all of us are going to get a bite, right, 45 00:02:22,720 --> 00:02:25,800 Speaker 1: nobody's immune to it, but a special subset of that 46 00:02:25,840 --> 00:02:30,240 Speaker 1: population will be quote unquote heavily attacked. Okay, so let's 47 00:02:30,280 --> 00:02:32,880 Speaker 1: quantify the numbers that that Kelly starts stirring around in 48 00:02:32,880 --> 00:02:36,280 Speaker 1: this paper. So put ten people in a room with 49 00:02:36,400 --> 00:02:39,920 Speaker 1: say some anopolies mosquitoes, and those are the notorious specters 50 00:02:39,919 --> 00:02:45,160 Speaker 1: for the malarial parasite plasmodium, and or two of those 51 00:02:45,160 --> 00:02:47,120 Speaker 1: people in that room are going to be responsible for 52 00:02:47,160 --> 00:02:50,240 Speaker 1: passing on eight of the disease. Okay, so let's let's 53 00:02:50,280 --> 00:02:52,200 Speaker 1: talk about it again. Two people are going to pass 54 00:02:52,200 --> 00:02:56,240 Speaker 1: on eight of the disease according to a Woolhouse at all. 55 00:02:56,360 --> 00:02:58,800 Speaker 1: So if that's pretty crazy and so, I mean, that 56 00:02:58,840 --> 00:03:02,200 Speaker 1: does seem to point or the idea that, yes, in fact, 57 00:03:02,240 --> 00:03:06,440 Speaker 1: mosquitoes do exhibit a preference from a public health perspective. 58 00:03:06,480 --> 00:03:08,680 Speaker 1: Imagine if you could really home in on that and 59 00:03:08,680 --> 00:03:11,480 Speaker 1: figure out what makes them so attractive. I mean, not 60 00:03:11,560 --> 00:03:15,800 Speaker 1: only would you know mosquitoes or companies interested in mosquito 61 00:03:15,840 --> 00:03:17,960 Speaker 1: control will be hugely interested in this, but the rest 62 00:03:17,960 --> 00:03:20,000 Speaker 1: of us would want to hang out with them, like 63 00:03:20,560 --> 00:03:24,160 Speaker 1: their mosquitoes everywhere. Call up, Charlie, I want him standing 64 00:03:24,160 --> 00:03:26,680 Speaker 1: next to me, right and you know, mosquito bits are 65 00:03:26,680 --> 00:03:28,720 Speaker 1: annoying and we're kind of kidding at it, but you know, 66 00:03:28,800 --> 00:03:30,720 Speaker 1: when you think about all those people dying from malaria 67 00:03:30,880 --> 00:03:37,640 Speaker 1: or other mosquito born diseases, really stinks. Well, this is interesting, um. 68 00:03:37,680 --> 00:03:40,720 Speaker 1: And this is a slight tangent here, but I ran 69 00:03:40,760 --> 00:03:45,720 Speaker 1: across a really cool argument for mosquitoes, because mosquitoes are 70 00:03:45,720 --> 00:03:47,560 Speaker 1: one of the things you're frequently here, like why do 71 00:03:47,680 --> 00:03:50,520 Speaker 1: we have mosquitoes? Like if you know, if if there's 72 00:03:50,560 --> 00:03:53,160 Speaker 1: a god in heaven wanted he create mosquitoes, that kind 73 00:03:53,160 --> 00:03:56,960 Speaker 1: of thing. Um. But one one interesting argument for them 74 00:03:57,240 --> 00:04:01,320 Speaker 1: is that mosquitoes and their malaria have kept humans out 75 00:04:01,320 --> 00:04:04,280 Speaker 1: of certain areas of the world for long periods of time, 76 00:04:04,360 --> 00:04:07,600 Speaker 1: or at least kept them from expanding into those areas 77 00:04:07,640 --> 00:04:11,920 Speaker 1: in large numbers. So the argument is that if you're 78 00:04:11,920 --> 00:04:14,520 Speaker 1: you know, um, an environmentalist or you know a tree 79 00:04:14,600 --> 00:04:18,040 Speaker 1: hugger or whatever, UM, then you really kind of have 80 00:04:18,080 --> 00:04:20,880 Speaker 1: to thank mosquitoes for sort of protecting these areas up 81 00:04:20,960 --> 00:04:25,080 Speaker 1: until modern times. That's definitely an interesting perspective. I definitely 82 00:04:25,120 --> 00:04:27,760 Speaker 1: wouldn't advocate getting rid of mosquitoes, nor could we ever 83 00:04:27,880 --> 00:04:30,279 Speaker 1: know and reasonably hope to do it. But I do 84 00:04:30,480 --> 00:04:35,599 Speaker 1: advocate you know, effective public health definitely, because especially when 85 00:04:35,800 --> 00:04:40,040 Speaker 1: we're creating situations through overpopulation or pour water, um you know, 86 00:04:40,160 --> 00:04:45,280 Speaker 1: storage management, etcetera, that encourages massive quantities and mosquitoes. So 87 00:04:45,400 --> 00:04:47,599 Speaker 1: let's talk about some of the likes and dislikes. What's 88 00:04:47,600 --> 00:04:49,920 Speaker 1: going on here? Who the people are getting all the bites. Yeah, well, 89 00:04:49,960 --> 00:04:52,280 Speaker 1: it's kind of like, you know, you're walking down the street, 90 00:04:52,800 --> 00:04:54,960 Speaker 1: you know, looking trying to figure out which restaurant you're 91 00:04:54,960 --> 00:04:57,479 Speaker 1: gonna hit. You know, it's like they're different cues that 92 00:04:57,520 --> 00:05:00,480 Speaker 1: are gonna stand out to you and and you may 93 00:05:00,520 --> 00:05:02,280 Speaker 1: help you make up your mind about where you gonna eat. 94 00:05:03,120 --> 00:05:06,719 Speaker 1: And it's similar to mosquitoes. Uh. The big one, of 95 00:05:06,760 --> 00:05:09,760 Speaker 1: course is c O two. Yeah, you know, which we're 96 00:05:09,800 --> 00:05:15,360 Speaker 1: constantly exciting and bigger people give off more c O two. Right, 97 00:05:15,520 --> 00:05:18,200 Speaker 1: This is not rocket science. Yeah, so they're going to 98 00:05:18,279 --> 00:05:20,599 Speaker 1: be drawn, they're going to be drawn into the larger people, 99 00:05:20,600 --> 00:05:22,359 Speaker 1: and a lot of times that generally breaks down to 100 00:05:22,600 --> 00:05:26,640 Speaker 1: two men as well. Um, you know, right, social preference 101 00:05:26,640 --> 00:05:30,080 Speaker 1: for an adult over child's or a man over women. Um. 102 00:05:30,120 --> 00:05:32,400 Speaker 1: I was reading an article about this that Anna Hunt 103 00:05:32,680 --> 00:05:34,800 Speaker 1: and I had O'Connor in the New York Times had 104 00:05:34,880 --> 00:05:38,640 Speaker 1: had posted, and he was saying that, yeah, um, it 105 00:05:38,720 --> 00:05:41,320 Speaker 1: had been positive that women were sweeter because of estrogen, 106 00:05:41,520 --> 00:05:44,719 Speaker 1: and thus mosquito's favorite them more. But the bigger size 107 00:05:44,839 --> 00:05:47,640 Speaker 1: and thus all that heat and c O two I 108 00:05:47,720 --> 00:05:50,760 Speaker 1: really get mosquitoes excited and you know, just biting. Yeah, 109 00:05:51,200 --> 00:05:55,320 Speaker 1: they there's they also think that that pregnant ladies may 110 00:05:55,360 --> 00:05:57,000 Speaker 1: also attract them more. And but it comes down of 111 00:05:57,000 --> 00:06:01,320 Speaker 1: the CEO two again, heavier breathing, right, And doubtless we're 112 00:06:01,320 --> 00:06:04,240 Speaker 1: gonna get a couple of listeners, small listeners out there 113 00:06:04,240 --> 00:06:06,720 Speaker 1: who swear that they're you know, the ones who attract 114 00:06:06,760 --> 00:06:10,280 Speaker 1: all the mosquitoes. And so size isn't the the end 115 00:06:10,279 --> 00:06:12,680 Speaker 1: all to be all nors c O two, A couple 116 00:06:12,760 --> 00:06:16,279 Speaker 1: other things factor in ship and and nobody knows the 117 00:06:16,360 --> 00:06:20,080 Speaker 1: exact formula for attracting that mosquito, like we can stress, 118 00:06:20,120 --> 00:06:21,440 Speaker 1: but we do know a couple of the factors, so 119 00:06:21,640 --> 00:06:24,440 Speaker 1: C two and and and again with CEO two. It's 120 00:06:24,440 --> 00:06:27,720 Speaker 1: like if you're if you're really active, maybe you really active, 121 00:06:27,760 --> 00:06:30,360 Speaker 1: little person. You know, you're out there jumping around. I 122 00:06:30,400 --> 00:06:32,960 Speaker 1: don't know you're you know, you're playing volleyball, shooting hoops. 123 00:06:33,360 --> 00:06:35,440 Speaker 1: You're active because they're just gonna notice you because you're 124 00:06:35,440 --> 00:06:38,560 Speaker 1: a small person talking with your hands, et cetera. Then 125 00:06:38,760 --> 00:06:41,440 Speaker 1: then yeah, you're you're producing more CEO two, and you're 126 00:06:41,480 --> 00:06:44,640 Speaker 1: you're likely to attract like, like, it's amazing how far 127 00:06:44,680 --> 00:06:47,800 Speaker 1: away they can they can sense you. They can they 128 00:06:47,800 --> 00:06:50,040 Speaker 1: can smell a meal like a hundred and sixty five 129 00:06:50,040 --> 00:06:53,320 Speaker 1: ft away. I'm not sure I could smell a meal 130 00:06:53,520 --> 00:06:56,800 Speaker 1: hundred sixty five ft away unless it was like barbecue, 131 00:06:57,279 --> 00:06:58,880 Speaker 1: you know, off a truck. You know, I was, I 132 00:06:58,960 --> 00:07:01,280 Speaker 1: was down the wind of it. Maybe, but right, And 133 00:07:01,320 --> 00:07:02,600 Speaker 1: when you think about they can cover up to a 134 00:07:02,680 --> 00:07:04,320 Speaker 1: mile or a mile and a half in an hour, 135 00:07:04,960 --> 00:07:07,080 Speaker 1: you know, they can cover some serious ground to get 136 00:07:07,120 --> 00:07:10,480 Speaker 1: to you if they want. And then okay, so let's 137 00:07:10,480 --> 00:07:13,840 Speaker 1: talk about smell. Yeah, are we wearing perfume? I assume 138 00:07:13,840 --> 00:07:17,160 Speaker 1: you're not read when they think it sounds like I 139 00:07:17,200 --> 00:07:20,280 Speaker 1: stink in here. No, no, I'm not saying that you stink. 140 00:07:20,320 --> 00:07:22,680 Speaker 1: But I did read one article that was talking, well 141 00:07:23,560 --> 00:07:26,080 Speaker 1: comment to an article, and this woman was swearing that 142 00:07:26,160 --> 00:07:30,720 Speaker 1: mosquitoes love Shalomar. What it's It's a ladies perfume. It's 143 00:07:30,760 --> 00:07:34,080 Speaker 1: kind of old school, but so are you wearing perfume? 144 00:07:34,160 --> 00:07:36,520 Speaker 1: This could attract it, and then less good smelling things 145 00:07:36,560 --> 00:07:41,720 Speaker 1: attract mosquitoes. But what's the perfect stinky combo? Um? Well, 146 00:07:41,760 --> 00:07:43,680 Speaker 1: it's sounding like from from what we've covered so far, 147 00:07:43,760 --> 00:07:48,280 Speaker 1: if you were a large, out of breath person who 148 00:07:48,320 --> 00:07:50,520 Speaker 1: moved your hands moves their hands, and then you're you're 149 00:07:50,560 --> 00:07:53,880 Speaker 1: probably pretty attract And if you really want to tip 150 00:07:53,880 --> 00:07:57,040 Speaker 1: the scales, start drinking a bunch of beer, because that's that. 151 00:07:57,160 --> 00:07:59,200 Speaker 1: That's because there's there are a lot of like weird 152 00:07:59,200 --> 00:08:01,800 Speaker 1: myths out there. I was actually at a thing last 153 00:08:01,880 --> 00:08:03,800 Speaker 1: night where there are a lot of mosquitoes around and 154 00:08:04,000 --> 00:08:05,800 Speaker 1: people I was asking people, It's like, hey, well, you 155 00:08:05,800 --> 00:08:08,240 Speaker 1: know we're doing this podcast tomorrow. What have you heard, 156 00:08:08,640 --> 00:08:12,960 Speaker 1: um actually like attract mosquitoes And like I heard bananas, Um, 157 00:08:13,520 --> 00:08:17,120 Speaker 1: if you bananas will attract mosquitoes. Um. See what were 158 00:08:17,160 --> 00:08:20,800 Speaker 1: some of the others um, garlic, garlic floats around there, yea, 159 00:08:21,000 --> 00:08:25,120 Speaker 1: the vitamin B twelve. Um, yeah, well so I was. 160 00:08:25,160 --> 00:08:27,120 Speaker 1: I was researching some of these because you brought these 161 00:08:27,120 --> 00:08:30,680 Speaker 1: to my attention, and I went on the American Mosquito 162 00:08:30,720 --> 00:08:33,360 Speaker 1: Control Association site. And so bear in mind the source, 163 00:08:33,960 --> 00:08:37,199 Speaker 1: the American Mosquito Control Association, They're bound to have some 164 00:08:37,280 --> 00:08:42,240 Speaker 1: industry interest. But um, they said that no, garlic, vitamin 165 00:08:42,280 --> 00:08:45,440 Speaker 1: B twelve, all those other systemics don't in fact prevent 166 00:08:45,440 --> 00:08:48,760 Speaker 1: the mosquitoes from biting, and the bananas don't necessarily attract 167 00:08:48,760 --> 00:08:52,640 Speaker 1: them either. My favorite fact from this particular website was 168 00:08:52,720 --> 00:08:55,960 Speaker 1: they mentioned that Limburger cheese has also been found to 169 00:08:56,000 --> 00:08:59,400 Speaker 1: be attractive to mosquitoes, and they took it one step farther. 170 00:08:59,679 --> 00:09:03,520 Speaker 1: They said that perhaps that attraction to limburger cheese was 171 00:09:03,600 --> 00:09:07,320 Speaker 1: because they resembled it resembled the smell of human feet. Okay, 172 00:09:07,480 --> 00:09:12,040 Speaker 1: so big person out of breath, talking with your hands, 173 00:09:12,240 --> 00:09:15,920 Speaker 1: drinking beer and then maybe eating limburger cheese or just 174 00:09:15,960 --> 00:09:18,880 Speaker 1: having really stinky feet. Also not sitting under a fan, 175 00:09:19,080 --> 00:09:21,520 Speaker 1: because if you're hanging out under a fan, uh, then 176 00:09:22,000 --> 00:09:23,880 Speaker 1: that's going to disperse like the CEO two, like you're 177 00:09:23,920 --> 00:09:25,720 Speaker 1: not just gonna be setting in like this big bubble 178 00:09:25,800 --> 00:09:29,720 Speaker 1: of CEO two funk. Yeah, and I have you know 179 00:09:29,760 --> 00:09:31,440 Speaker 1: often they say, you know, have a fan going because 180 00:09:31,480 --> 00:09:34,320 Speaker 1: they keeps them away from you know, the meal area, 181 00:09:34,520 --> 00:09:37,120 Speaker 1: you know, if you're having a picnic or whatever. So 182 00:09:37,120 --> 00:09:39,640 Speaker 1: so I guess it it works in that regard to stirs. 183 00:09:39,640 --> 00:09:42,080 Speaker 1: It stirs up the CEO two, keeps it from settling 184 00:09:42,080 --> 00:09:44,599 Speaker 1: in and just being a big bat signal for mosquitoes. 185 00:09:47,320 --> 00:09:50,360 Speaker 1: So let's get into uh an experiment that checked out 186 00:09:50,360 --> 00:09:53,400 Speaker 1: one of these factors, and uh it was alcohol in fact, 187 00:09:53,960 --> 00:09:56,520 Speaker 1: and it was. It was according to a paper published 188 00:09:56,520 --> 00:10:00,240 Speaker 1: in Plus one Pila p l Os one and back 189 00:10:00,240 --> 00:10:04,160 Speaker 1: in March two, I had a most excellent title. It's 190 00:10:04,200 --> 00:10:09,320 Speaker 1: aid beer consumption increases human attractiveness to malaria mosquitoes. Yeah, 191 00:10:09,320 --> 00:10:10,760 Speaker 1: so you can look at the paper if you guys want, 192 00:10:10,880 --> 00:10:13,600 Speaker 1: if you're so inclined. It reminds me of something that 193 00:10:13,960 --> 00:10:16,520 Speaker 1: might be in the what if the ignoble prizes. What's 194 00:10:16,520 --> 00:10:20,320 Speaker 1: that journal? Um improbable research? Yeah, this seems like a 195 00:10:20,320 --> 00:10:23,160 Speaker 1: title that could appear in probable research, But no, it 196 00:10:23,240 --> 00:10:25,120 Speaker 1: was not improbable. In fact, it was probable and it 197 00:10:25,160 --> 00:10:28,240 Speaker 1: was carried out in Burkina Faso, an area of Africa 198 00:10:28,320 --> 00:10:31,559 Speaker 1: that's caesar fair amount of malaria. So let's check out 199 00:10:31,559 --> 00:10:34,839 Speaker 1: what what happened with this experiment. Okay, Like most of 200 00:10:34,880 --> 00:10:38,400 Speaker 1: you guys listening, researchers noticed that malaria and alcohol consumption 201 00:10:38,760 --> 00:10:42,440 Speaker 1: represents some pretty big public health problems. So they decided 202 00:10:42,480 --> 00:10:45,280 Speaker 1: to investigate the links between the two. It seems like 203 00:10:45,320 --> 00:10:48,720 Speaker 1: a good idea, right, So here's what they did. And 204 00:10:49,760 --> 00:10:52,319 Speaker 1: it didn't involve getting a bunch of participants drunk and 205 00:10:52,400 --> 00:10:54,280 Speaker 1: letting them hang out with a bunch of bl blood 206 00:10:54,280 --> 00:10:56,120 Speaker 1: their sea mosquitoes. Yeah, because that's what I thought it 207 00:10:56,160 --> 00:10:59,200 Speaker 1: was going to be, you know, really cruel, kind of 208 00:10:59,200 --> 00:11:01,480 Speaker 1: like some of these other periments we've we've encountered where 209 00:11:01,559 --> 00:11:03,960 Speaker 1: like a scientists one bites some people over and they 210 00:11:04,000 --> 00:11:08,240 Speaker 1: think it's a cocktail party, but it's really a psychological experiment. No. 211 00:11:08,559 --> 00:11:11,199 Speaker 1: There there's a whole section in the paper devoted to ethics. 212 00:11:11,240 --> 00:11:14,720 Speaker 1: So these researchers took the ethical steps. So what they 213 00:11:14,760 --> 00:11:18,000 Speaker 1: did was they got forty three adult males between ages 214 00:11:18,040 --> 00:11:21,959 Speaker 1: twenty and forty three, and they're from of course, Burkina 215 00:11:22,000 --> 00:11:25,880 Speaker 1: Faso to participate in their study, so they randomly assigned 216 00:11:25,920 --> 00:11:29,600 Speaker 1: their their beer drinking participants too. This is the big 217 00:11:29,640 --> 00:11:32,160 Speaker 1: disappointment for somebody signed up to the beer group or 218 00:11:32,200 --> 00:11:33,839 Speaker 1: the water group, right, because you have to have a 219 00:11:33,840 --> 00:11:37,679 Speaker 1: control group. And the beer in question was a local 220 00:11:37,679 --> 00:11:42,079 Speaker 1: beer called Dolo and it's pretty lower, low content and 221 00:11:42,160 --> 00:11:45,200 Speaker 1: three percent alcohol content, and it's the most popular drink 222 00:11:45,240 --> 00:11:47,440 Speaker 1: in the region, so it makes sense to to test 223 00:11:47,480 --> 00:11:49,200 Speaker 1: it out with the most popular drink in the region. 224 00:11:50,440 --> 00:11:53,040 Speaker 1: And not just the beer, not just the participants. They 225 00:11:53,040 --> 00:11:55,439 Speaker 1: had to get some mosquitoes, right, and so they rounded 226 00:11:55,520 --> 00:11:58,760 Speaker 1: up some Naphilis Gambia mosquitoes that were present in the 227 00:11:58,840 --> 00:12:01,800 Speaker 1: villages for experiment and they read them in a lab 228 00:12:01,880 --> 00:12:03,680 Speaker 1: and they made sure that the females they are going 229 00:12:03,760 --> 00:12:05,560 Speaker 1: to use, because you guys know that females are the 230 00:12:05,559 --> 00:12:08,040 Speaker 1: mosquitoes that are biting, not the males. Yeah, that's that's 231 00:12:08,080 --> 00:12:09,720 Speaker 1: my thing. I don't really have any problem with the 232 00:12:09,720 --> 00:12:13,520 Speaker 1: male mosquitoes. It's the ladies that are awful. Here's the 233 00:12:13,559 --> 00:12:15,400 Speaker 1: ladies that are awful. And uh, I mean, why do 234 00:12:15,480 --> 00:12:17,679 Speaker 1: they why do they need the blood male? They got 235 00:12:17,679 --> 00:12:21,880 Speaker 1: babies to feed, right, Yeah, they got eggs to nourish too, yeah, 236 00:12:22,120 --> 00:12:25,120 Speaker 1: so so. So they got their female mosquitoes, they got 237 00:12:25,160 --> 00:12:28,079 Speaker 1: them good and hungry. And since they're not going to 238 00:12:28,120 --> 00:12:30,280 Speaker 1: be counting the mosquitoes on their participants, they had to 239 00:12:30,320 --> 00:12:35,360 Speaker 1: rely on something called an old factometer smell ascope kind 240 00:12:35,400 --> 00:12:39,320 Speaker 1: of a thing, a little bit. Uh, it's it's a 241 00:12:39,360 --> 00:12:42,880 Speaker 1: device that labs may use to disperse an odor precisely. Okay, 242 00:12:42,920 --> 00:12:46,120 Speaker 1: so not a smell. It's like a like a stink gun, 243 00:12:46,360 --> 00:12:50,000 Speaker 1: if you will, the smell gun and odor distributor. Is 244 00:12:50,040 --> 00:12:51,439 Speaker 1: there such thing as a stint gun? Are you just 245 00:12:51,480 --> 00:12:53,680 Speaker 1: totally making that up here? And I'm just trying to 246 00:12:53,960 --> 00:12:58,640 Speaker 1: like picture in my head. It's it shoots an odor, right, 247 00:12:59,080 --> 00:13:02,880 Speaker 1: it directs, it's directs an oder. So here's what they did. 248 00:13:03,080 --> 00:13:05,200 Speaker 1: They got their participants, the beer drinking ones and the 249 00:13:05,200 --> 00:13:07,120 Speaker 1: water drinking ones. They sat him in a tent. They 250 00:13:07,160 --> 00:13:10,679 Speaker 1: pointed a fan at the at the participants, and the 251 00:13:10,840 --> 00:13:14,360 Speaker 1: fan directed the body order towards the old factometer, and 252 00:13:14,400 --> 00:13:17,760 Speaker 1: they measured the attractiveness before giving them water a beer. 253 00:13:17,880 --> 00:13:20,240 Speaker 1: How are you going to measure somebody's attractiveness? It's not 254 00:13:20,559 --> 00:13:23,360 Speaker 1: Hey he's cute, Hey he's not. Oh that guy really 255 00:13:23,360 --> 00:13:25,680 Speaker 1: needs to do something with his eyebrows because you're trying 256 00:13:25,679 --> 00:13:27,760 Speaker 1: to appeal to a mosquito. And that just hasn't been 257 00:13:27,800 --> 00:13:30,319 Speaker 1: a lot of like the advertising industry hasn't really been 258 00:13:30,360 --> 00:13:34,440 Speaker 1: going after that demographic. They really really haven't. So they 259 00:13:34,440 --> 00:13:38,320 Speaker 1: measured attractiveness with the help of the old factometer. So 260 00:13:38,400 --> 00:13:41,679 Speaker 1: you have a bunch of mosquitoes sitting at the box 261 00:13:42,000 --> 00:13:44,960 Speaker 1: at the base of this Y shaped old factometer. So 262 00:13:45,080 --> 00:13:46,840 Speaker 1: do you have that kind of in your head. It's 263 00:13:46,880 --> 00:13:50,200 Speaker 1: at the the base of the tail of the y. 264 00:13:50,360 --> 00:13:52,880 Speaker 1: There's a box there, okay, and then you're gonna have 265 00:13:52,920 --> 00:13:54,439 Speaker 1: the stem of the y coming up and then it's 266 00:13:54,440 --> 00:13:56,840 Speaker 1: going to branch off into the two arms of the y. Okay, 267 00:13:57,000 --> 00:14:01,480 Speaker 1: see that? Okay. So at first they had these mosquitoes 268 00:14:01,559 --> 00:14:03,319 Speaker 1: kind of just sitting at this base box at the 269 00:14:03,360 --> 00:14:06,199 Speaker 1: tail of the y, and they defined attractiveness by how 270 00:14:06,200 --> 00:14:09,720 Speaker 1: many mosquitoes you induced to fly towards the yummy bottle 271 00:14:09,920 --> 00:14:12,880 Speaker 1: or smell so to fly toward the arms of the y. Right, 272 00:14:13,640 --> 00:14:16,520 Speaker 1: So they call that activating, how many mosquitoes you activated, 273 00:14:16,600 --> 00:14:19,000 Speaker 1: And they measured this um so they would blow the 274 00:14:19,000 --> 00:14:22,920 Speaker 1: odor of a beer drinking personal water drinking person how 275 00:14:22,920 --> 00:14:24,960 Speaker 1: many mosquitoes are any making fly toward the arms of 276 00:14:24,960 --> 00:14:26,720 Speaker 1: the way. It's kind of like a little like a 277 00:14:27,080 --> 00:14:29,280 Speaker 1: it's like a maze kind of right, I mean, not 278 00:14:29,320 --> 00:14:32,280 Speaker 1: really a maze, but it just the old road that 279 00:14:32,360 --> 00:14:35,640 Speaker 1: forks two ways. Which road are they going to take? Yeah, 280 00:14:35,920 --> 00:14:38,400 Speaker 1: the beer road or the water road? Right? It looks 281 00:14:38,440 --> 00:14:41,080 Speaker 1: like something out of the wasp factory. It's really really cool. 282 00:14:41,080 --> 00:14:42,520 Speaker 1: I think I saw a picture of it. It is 283 00:14:42,560 --> 00:14:45,120 Speaker 1: pretty neat. I didn't know such things existed. And it 284 00:14:45,160 --> 00:14:48,160 Speaker 1: seems like a pretty simple operation once you once you 285 00:14:48,160 --> 00:14:50,760 Speaker 1: think about it. So it wasn't just how many mosquitoes 286 00:14:50,800 --> 00:14:53,320 Speaker 1: you induced to fly. They had to pick the right 287 00:14:53,400 --> 00:14:55,840 Speaker 1: road that you were just talking about. So are they 288 00:14:55,840 --> 00:14:57,760 Speaker 1: going to orient toward the water one or the beer one? 289 00:14:57,960 --> 00:15:01,040 Speaker 1: And sure enough they found the researcher found that the 290 00:15:01,280 --> 00:15:05,560 Speaker 1: mosquitoes oriented towards the beer one. In fact, sixty percent 291 00:15:05,600 --> 00:15:08,400 Speaker 1: of them um flew upwind and chose the arm with 292 00:15:08,400 --> 00:15:13,360 Speaker 1: the beery odor. So mosquitoes like beer. No surprise there. 293 00:15:14,200 --> 00:15:16,040 Speaker 1: So so what's the big deal here? You're only gonna 294 00:15:16,040 --> 00:15:18,600 Speaker 1: be able to fight malaria or or other insect born 295 00:15:18,680 --> 00:15:21,480 Speaker 1: diseases if you know who who's at risk in Verkina Faso, 296 00:15:21,640 --> 00:15:24,480 Speaker 1: the dolo drinking ones. Maybe so if you have knowledge 297 00:15:24,480 --> 00:15:27,520 Speaker 1: of this risk factor and then you can help public 298 00:15:27,720 --> 00:15:32,240 Speaker 1: health officials devise effective interventions. Yea. The thing that really 299 00:15:32,280 --> 00:15:34,360 Speaker 1: interested me about all this is that you kind of 300 00:15:34,400 --> 00:15:36,760 Speaker 1: had this or at least that kind of I find 301 00:15:36,760 --> 00:15:39,080 Speaker 1: myself having this sort of mindset works like mosquitoes are 302 00:15:39,080 --> 00:15:41,800 Speaker 1: just gonna bite everybody, and there's not really any rhyme 303 00:15:41,880 --> 00:15:44,520 Speaker 1: or reason to it, unless unless you're wearing you know, 304 00:15:45,040 --> 00:15:47,880 Speaker 1: some sort of off or something on you, or you know, 305 00:15:48,000 --> 00:15:50,640 Speaker 1: or head to toe in garments. But but it's really 306 00:15:50,720 --> 00:15:53,040 Speaker 1: kind of it's more like a like a predator, like 307 00:15:53,200 --> 00:15:55,960 Speaker 1: in like in the Serengetti, like prowling. You know that 308 00:15:56,120 --> 00:15:58,400 Speaker 1: you see me to see any of the like anytime 309 00:15:58,440 --> 00:16:00,680 Speaker 1: you watch like a planet or their life, and you 310 00:16:00,720 --> 00:16:02,880 Speaker 1: see like a cheetah stalking something, It's like, like, what 311 00:16:02,920 --> 00:16:04,800 Speaker 1: did the predators always go after? That always go after 312 00:16:04,920 --> 00:16:09,080 Speaker 1: like the animal that can catch something weak, something something 313 00:16:09,760 --> 00:16:11,600 Speaker 1: you know, maybe it's a wounded animal, an old one, 314 00:16:11,880 --> 00:16:13,720 Speaker 1: the one that's not going to run it's fast, So 315 00:16:14,440 --> 00:16:16,280 Speaker 1: you're a mosquito. You're kind of doing the same thing. 316 00:16:16,400 --> 00:16:19,640 Speaker 1: You want to go after that the large because you 317 00:16:19,680 --> 00:16:21,800 Speaker 1: want a good meal out of it, like the large, 318 00:16:22,040 --> 00:16:29,360 Speaker 1: slow drunk guy exactly. Yeah, that that like that short 319 00:16:29,400 --> 00:16:32,600 Speaker 1: person who hasn't had anything to drink. Like, that's the 320 00:16:32,720 --> 00:16:36,120 Speaker 1: short person who's like smashing the you know what are 321 00:16:36,160 --> 00:16:41,120 Speaker 1: those things on the badminton that shuttle cocks. I don't 322 00:16:41,120 --> 00:16:45,160 Speaker 1: know who's you know, doing the outdoor sports and he's 323 00:16:45,200 --> 00:16:49,360 Speaker 1: moving all around, well around, they might get winded, and 324 00:16:49,400 --> 00:16:52,840 Speaker 1: then you've got a winded person. They're not gonna so 325 00:16:53,040 --> 00:16:55,320 Speaker 1: so it's that it's that I think it's that that small, 326 00:16:56,120 --> 00:16:59,000 Speaker 1: still person who hasn't had anything to drink and doesn't 327 00:16:59,040 --> 00:17:01,240 Speaker 1: smell funny. It's like going next to them and trying 328 00:17:01,280 --> 00:17:03,280 Speaker 1: to get a meal off of that neck. You're gonna 329 00:17:03,280 --> 00:17:07,000 Speaker 1: get squatted, right right. Yeah, So all these cues correlate 330 00:17:07,000 --> 00:17:09,600 Speaker 1: on an evolutionary level with how well a host is 331 00:17:09,640 --> 00:17:12,280 Speaker 1: able to defend itself and the people that are less 332 00:17:12,280 --> 00:17:15,200 Speaker 1: able to defend themselves. Yeah, mosquitoes are going off to them. 333 00:17:15,240 --> 00:17:18,439 Speaker 1: And unfortunately that means if you're large, or pregnant or 334 00:17:18,560 --> 00:17:21,760 Speaker 1: some other combination of those factors. It brings to mind, 335 00:17:21,800 --> 00:17:23,719 Speaker 1: you know, as people are always throwing outdoor events and 336 00:17:23,760 --> 00:17:26,239 Speaker 1: you want you want to prevent you know, mosquitoes from 337 00:17:26,280 --> 00:17:29,800 Speaker 1: coming after people. What if like some entrepreneur out there 338 00:17:29,840 --> 00:17:32,920 Speaker 1: started hiring themselves out as a mosquito bait like they're 339 00:17:32,960 --> 00:17:34,600 Speaker 1: they're they're all duals, Like, look, I will show up 340 00:17:34,600 --> 00:17:37,159 Speaker 1: at your party and I will drink a lot of 341 00:17:37,200 --> 00:17:41,120 Speaker 1: beer and run around in circles and and the mosquitoes 342 00:17:41,160 --> 00:17:42,760 Speaker 1: are gonna come after me, and you guys can just 343 00:17:42,880 --> 00:17:44,680 Speaker 1: do what you want, carry on, have a good time 344 00:17:44,720 --> 00:17:47,240 Speaker 1: and just you know, ignore me. Right. It would be 345 00:17:47,240 --> 00:17:52,280 Speaker 1: like cit chanella, but way more effective and entertaining. Exactly. Yeah, 346 00:17:52,320 --> 00:17:54,680 Speaker 1: so we'd like to hear how you guys we add 347 00:17:54,720 --> 00:17:57,199 Speaker 1: on the scale? Are you do mosquitoes love you? Do 348 00:17:57,240 --> 00:17:58,879 Speaker 1: they stay away from me? Like the plague? Do you 349 00:17:58,960 --> 00:18:00,880 Speaker 1: let us know? Send us Aknee mel A's science stuff 350 00:18:00,880 --> 00:18:03,600 Speaker 1: at host works dot com And we sure do get 351 00:18:03,680 --> 00:18:06,240 Speaker 1: email at science stuff at how stuff rooks dot com. 352 00:18:06,240 --> 00:18:07,680 Speaker 1: In fact, that so you got two in your hand 353 00:18:07,760 --> 00:18:10,520 Speaker 1: right now? Do you want to read this? I'm sorry, 354 00:18:10,520 --> 00:18:12,640 Speaker 1: I was just waiting for the listener and mail sound 355 00:18:12,640 --> 00:18:15,360 Speaker 1: effect to give an ample space. That's a pretty cool 356 00:18:15,359 --> 00:18:21,920 Speaker 1: effect that we gotta like it. Yeah, okay, I think 357 00:18:21,920 --> 00:18:24,680 Speaker 1: that was a good enough foss um. So we got 358 00:18:24,680 --> 00:18:29,200 Speaker 1: some email from momm and it looks like, well, no, 359 00:18:29,320 --> 00:18:32,080 Speaker 1: that's her email name. Her real name is Gretchen gretchen N, 360 00:18:32,840 --> 00:18:35,399 Speaker 1: and Gretchen N used to work for the City of 361 00:18:35,440 --> 00:18:39,040 Speaker 1: Chicago's Department of Environment and she worked on it while 362 00:18:39,040 --> 00:18:41,280 Speaker 1: the rooftop garden was being planned and built on the 363 00:18:41,280 --> 00:18:43,959 Speaker 1: City Hall. So that's pretty cool. So she really had 364 00:18:44,000 --> 00:18:46,680 Speaker 1: some inside scoop on the Chicago green roof stop that 365 00:18:46,720 --> 00:18:51,280 Speaker 1: we were talking about that podcast. Gretchen, however, proposed an 366 00:18:51,280 --> 00:18:53,600 Speaker 1: interesting idea, and she was saying that if you can't 367 00:18:53,600 --> 00:18:55,760 Speaker 1: put a green roof on your house, there are other alternatives. 368 00:18:56,640 --> 00:18:58,640 Speaker 1: She writes, When my husband and I rehapped our house, 369 00:18:58,680 --> 00:19:00,359 Speaker 1: we need that we wanted a greener roof, so we 370 00:19:00,440 --> 00:19:03,480 Speaker 1: chose a standing same metal roof, being metal and naturally 371 00:19:03,520 --> 00:19:06,199 Speaker 1: reflects solar energy back into space, and we included a 372 00:19:06,240 --> 00:19:09,760 Speaker 1: special coating to increase the albedo. The color of the 373 00:19:09,840 --> 00:19:12,199 Speaker 1: roof is champagne. Doesn't that sound nice? Is the champagne 374 00:19:12,200 --> 00:19:16,600 Speaker 1: colored roof? A champagne colored metal roof has the reflectivity 375 00:19:16,640 --> 00:19:19,160 Speaker 1: of a point four five and an emissivity of point 376 00:19:19,200 --> 00:19:22,000 Speaker 1: seven eight, And of course She's found that her A 377 00:19:22,119 --> 00:19:25,080 Speaker 1: C cost have dropped significantly and the upstairs is far 378 00:19:25,119 --> 00:19:28,800 Speaker 1: more comfortable. That's cool. Yeah, pretty cool, Aggrettion. And she 379 00:19:28,880 --> 00:19:32,199 Speaker 1: also wrote that the biggest problem she had when she 380 00:19:32,320 --> 00:19:35,000 Speaker 1: was getting the green roof together was finding builders to 381 00:19:35,000 --> 00:19:38,359 Speaker 1: take her seriously. She hadn't been insistent about wanting this 382 00:19:38,480 --> 00:19:41,639 Speaker 1: roof and educating the builder, she probably would have wound 383 00:19:41,720 --> 00:19:44,199 Speaker 1: up with asphalts shingles. So go, Gretchen, sticking to your 384 00:19:44,240 --> 00:19:46,320 Speaker 1: green guns. Yeah. We also heard it from a couple 385 00:19:46,359 --> 00:19:48,879 Speaker 1: of you guys on our smart grid podcast, and uh 386 00:19:49,080 --> 00:19:51,960 Speaker 1: one was from Sean, who goes by the nickname Speedy. 387 00:19:52,000 --> 00:19:55,800 Speaker 1: I love that. And Sean ran in to tell us 388 00:19:55,800 --> 00:19:58,119 Speaker 1: that he in fact works in the electric utility field 389 00:19:58,119 --> 00:20:01,280 Speaker 1: for a company that develops outage man aagement and smartcarde software. 390 00:20:01,440 --> 00:20:03,840 Speaker 1: So this is the guy to go to with questions. Sean, 391 00:20:03,880 --> 00:20:07,080 Speaker 1: where were you when we're developing this podcast? And uh, 392 00:20:07,520 --> 00:20:09,159 Speaker 1: I was wondering during the podcast, I don't know if 393 00:20:09,200 --> 00:20:12,200 Speaker 1: you guys remember if businesses would be okay with electricity 394 00:20:12,240 --> 00:20:16,119 Speaker 1: demand pricing. Remember we were talking about that, speculating, you know, 395 00:20:16,160 --> 00:20:20,760 Speaker 1: about whether we drive up costs and teleworking and different measures. 396 00:20:21,800 --> 00:20:24,919 Speaker 1: Um so he Sean writes that, yeah, I can confirm 397 00:20:24,960 --> 00:20:27,440 Speaker 1: that today companies will shift their operations to different times 398 00:20:27,480 --> 00:20:30,280 Speaker 1: or turn off various systems to save money. In exchange, 399 00:20:30,320 --> 00:20:32,440 Speaker 1: they get a discounted rate for all the power usage 400 00:20:32,440 --> 00:20:37,040 Speaker 1: from the utilities. And he also writes that which utilities 401 00:20:37,080 --> 00:20:39,320 Speaker 1: find is that when consumers are given the choice and information, 402 00:20:39,400 --> 00:20:42,840 Speaker 1: they will better use power. Excellent. This kind of ties 403 00:20:42,880 --> 00:20:45,880 Speaker 1: into a blog post I want to do about persuasive technology. Well, 404 00:20:45,920 --> 00:20:48,840 Speaker 1: it's it's also reminds me of you know that the 405 00:20:48,880 --> 00:20:51,280 Speaker 1: little UH displays they put up on the side of 406 00:20:51,280 --> 00:20:54,280 Speaker 1: the road to tell you what speed you're going, and 407 00:20:54,320 --> 00:20:56,560 Speaker 1: it starts flashing at you if you're a little over this, 408 00:20:56,680 --> 00:20:58,960 Speaker 1: if you're at or over the speed limit, and they 409 00:20:58,960 --> 00:21:01,720 Speaker 1: say those actually are pretty effective, you know, because it's 410 00:21:01,760 --> 00:21:04,119 Speaker 1: kind of it gives you the information and you just 411 00:21:04,200 --> 00:21:06,879 Speaker 1: kind of like sometimes I think, just subconsciously start regulating it. 412 00:21:06,960 --> 00:21:09,399 Speaker 1: But if you had you know, an actual dollar sign 413 00:21:09,600 --> 00:21:12,400 Speaker 1: tied up in it, you know even more so. Um. 414 00:21:12,560 --> 00:21:13,960 Speaker 1: And then we had I heard from a guy named 415 00:21:14,040 --> 00:21:16,680 Speaker 1: John who written with some smart code comments and Seohn 416 00:21:16,760 --> 00:21:20,119 Speaker 1: specifically had an idea for fighting vampire energy. What he 417 00:21:20,240 --> 00:21:21,920 Speaker 1: wants to do is he wants to make an app 418 00:21:21,920 --> 00:21:24,159 Speaker 1: on the iPhone that can control the electric switches in 419 00:21:24,200 --> 00:21:27,720 Speaker 1: the house while connected to your WiFi, and so the 420 00:21:27,720 --> 00:21:30,000 Speaker 1: WiFi is constantly on. And the big selling point of 421 00:21:30,000 --> 00:21:32,960 Speaker 1: the application, he writes, is instead of just a master switches, 422 00:21:33,000 --> 00:21:37,480 Speaker 1: that software is programmable, so you could program certain switches, 423 00:21:37,560 --> 00:21:39,960 Speaker 1: start off with the command on the phone, and you 424 00:21:39,960 --> 00:21:42,480 Speaker 1: know program and no one is home this way, so 425 00:21:42,840 --> 00:21:44,320 Speaker 1: you know, you wouldn't wind up cutting the power to 426 00:21:44,320 --> 00:21:46,200 Speaker 1: your alarm clock because you gotta have your alarm clock 427 00:21:46,280 --> 00:21:49,160 Speaker 1: on all the time, right. Yeah, So that's pretty cool 428 00:21:49,320 --> 00:21:52,359 Speaker 1: as long as I could figure out the iPhone app. Yeah, 429 00:21:52,119 --> 00:21:55,960 Speaker 1: some of them are designed a little weird. Yeah, and 430 00:21:56,040 --> 00:21:58,760 Speaker 1: I guess I would have to have an iPhone too, Yeah, 431 00:21:59,520 --> 00:22:04,560 Speaker 1: and allow smunt. Just Bram from Canada writes he lives 432 00:22:04,560 --> 00:22:07,480 Speaker 1: in Manitoba, Canada, and he was saying he was struck 433 00:22:07,520 --> 00:22:09,919 Speaker 1: by a comment made about why the energy utilities are 434 00:22:10,000 --> 00:22:13,320 Speaker 1: encouraging efficiency and reduced consumption of electricity at the consumer level. 435 00:22:13,960 --> 00:22:16,560 Speaker 1: Uh So, he he lives in Manitoba and it's a 436 00:22:16,600 --> 00:22:20,320 Speaker 1: net exporter of electricity. So those guys make extensive use 437 00:22:20,320 --> 00:22:22,680 Speaker 1: of hydro electric power to generate electricity and with a 438 00:22:22,720 --> 00:22:25,760 Speaker 1: relatively small population, we're able to sell electricity to neighboring 439 00:22:25,760 --> 00:22:28,560 Speaker 1: provinces and states. Right, so the incentive there is built 440 00:22:28,600 --> 00:22:32,440 Speaker 1: in for for bram and as a fellow folks in Manitoba. 441 00:22:32,680 --> 00:22:35,960 Speaker 1: So it's pretty interesting. I did like hearing a lot 442 00:22:36,000 --> 00:22:39,200 Speaker 1: about how people are experiencing you know, smart good and 443 00:22:39,200 --> 00:22:43,360 Speaker 1: smarket technology, just because it is sort of a new concept. Yeah. 444 00:22:43,400 --> 00:22:45,640 Speaker 1: The great thing about especially the feedback is the smart 445 00:22:45,640 --> 00:22:48,920 Speaker 1: god is something that's happened, that's in the process of happening, 446 00:22:49,600 --> 00:22:52,560 Speaker 1: and it's happening at various levels, you know, from again 447 00:22:52,640 --> 00:22:55,720 Speaker 1: from the user level to the power generation level and 448 00:22:55,760 --> 00:22:57,520 Speaker 1: every step in between. And so we got to hear 449 00:22:57,560 --> 00:22:59,600 Speaker 1: from you know, a few different people, um, you know, 450 00:22:59,640 --> 00:23:04,679 Speaker 1: along that that long line of distribution. Yeah, so again, 451 00:23:04,840 --> 00:23:06,520 Speaker 1: we always love to hear from you. So send us 452 00:23:06,520 --> 00:23:08,159 Speaker 1: an email at scien Stuff at how stuff first dot 453 00:23:08,200 --> 00:23:10,480 Speaker 1: com or you can go to the site too. Yeah, 454 00:23:10,600 --> 00:23:13,760 Speaker 1: check out, check us out. We're on Facebook, uh stuff 455 00:23:13,760 --> 00:23:16,520 Speaker 1: in the Science Lab and we're on Twitter as lab stuff, 456 00:23:16,840 --> 00:23:19,679 Speaker 1: and we'll keep that updated, uh, you know, pretty much 457 00:23:19,760 --> 00:23:22,919 Speaker 1: daily with our latest articles, latest blog post and the 458 00:23:23,000 --> 00:23:34,040 Speaker 1: latest podcast topics. All right, thanks for listening. For more 459 00:23:34,040 --> 00:23:36,359 Speaker 1: on this and thousands of other topics because it how 460 00:23:36,400 --> 00:23:40,080 Speaker 1: stuff works dot Com. Want more how stuff works, check 461 00:23:40,119 --> 00:23:42,280 Speaker 1: out our blogs on the house stuff works dot Com 462 00:23:42,320 --> 00:23:49,280 Speaker 1: home page