1 00:00:00,280 --> 00:00:02,840 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,160 --> 00:00:07,640 Speaker 1: It's ready. Are you welcome to Stuff you should Know 3 00:00:08,200 --> 00:00:11,960 Speaker 1: from House Stuff Works dot Com. Hi, and welcome to 4 00:00:12,000 --> 00:00:14,760 Speaker 1: the podcast. My name's Josh. The guy across from his 5 00:00:14,880 --> 00:00:17,760 Speaker 1: name's Chuck. Say Hi, Chuck, Hi, how are you hey? Chuck? 6 00:00:18,160 --> 00:00:20,960 Speaker 1: You know, I was reading an article today and basically 7 00:00:21,079 --> 00:00:24,439 Speaker 1: they've recently found out that air pollution, as if it 8 00:00:24,480 --> 00:00:27,640 Speaker 1: weren't bad enough for your lungs, it actually interferes with 9 00:00:27,680 --> 00:00:31,320 Speaker 1: your heart's electrical activity. You're kidding, No, No, I would 10 00:00:31,360 --> 00:00:33,919 Speaker 1: not kid about that, Chuck. I take the hearts electrical 11 00:00:33,920 --> 00:00:39,400 Speaker 1: activity very seriously. Yeah. So, um, basically, our bodies can 12 00:00:39,440 --> 00:00:43,320 Speaker 1: kind of get rid of particles. Then there's fine particles, 13 00:00:43,320 --> 00:00:45,919 Speaker 1: which are a little more difficult. Now we have something 14 00:00:46,000 --> 00:00:50,919 Speaker 1: called ultra fine particles sub microscopic. They basically get into 15 00:00:50,960 --> 00:00:54,040 Speaker 1: your body and just read all manner of havoc. And 16 00:00:54,080 --> 00:00:55,800 Speaker 1: as far as I know, we weren't aware that it 17 00:00:55,880 --> 00:00:58,600 Speaker 1: really interfered with any process of the heart up to 18 00:00:58,640 --> 00:01:02,400 Speaker 1: this point. But yeah, basically, um, I think it was 19 00:01:02,480 --> 00:01:06,160 Speaker 1: the Journal of the American Heart Association where this study 20 00:01:06,200 --> 00:01:10,520 Speaker 1: was published, and when somebody undergoes some sort of heart surgery, 21 00:01:10,560 --> 00:01:14,920 Speaker 1: that kind of thing, they recommend that they avoid traffic anyway, right, 22 00:01:15,120 --> 00:01:18,560 Speaker 1: for stress levels. And yeah, because you know how upset 23 00:01:18,560 --> 00:01:20,640 Speaker 1: you get in traffic. I've seen you don't. Don't pretend 24 00:01:20,720 --> 00:01:22,720 Speaker 1: like you don't know. I take the subway, bro, I'm 25 00:01:22,800 --> 00:01:25,520 Speaker 1: I'm traffic free, right, And why do you take the subway? 26 00:01:25,560 --> 00:01:29,360 Speaker 1: Because traffic makes me crazy? Precisely so, they used to 27 00:01:29,360 --> 00:01:33,080 Speaker 1: recommend that that heart patients stay away from traffic for 28 00:01:33,160 --> 00:01:35,480 Speaker 1: two to three weeks after getting back from the hospital, 29 00:01:35,920 --> 00:01:38,640 Speaker 1: and they still do, but now for this other reason, 30 00:01:38,720 --> 00:01:42,600 Speaker 1: because you know, all this traffic pollution can interfere with 31 00:01:42,720 --> 00:01:45,160 Speaker 1: your heart's electrical activity. Is this only big cities or 32 00:01:45,240 --> 00:01:48,279 Speaker 1: is it across the board? Across the board, I would imagine, 33 00:01:48,320 --> 00:01:50,080 Speaker 1: because I mean, if you're if you have your window 34 00:01:50,160 --> 00:01:52,920 Speaker 1: rolled down and you're in any kind of traffic, you're 35 00:01:52,960 --> 00:01:55,800 Speaker 1: just sucking that stuff. Course. And now some places are 36 00:01:55,840 --> 00:01:58,240 Speaker 1: worse than others. I know one place where they would 37 00:01:58,240 --> 00:02:02,600 Speaker 1: recommend you not drive after Where Where would that be? China? China? Yes, 38 00:02:02,720 --> 00:02:05,600 Speaker 1: pretty much anywhere in China. There are some rural parts 39 00:02:05,640 --> 00:02:09,440 Speaker 1: of China that are pretty clean. You know, lots of trees, 40 00:02:09,480 --> 00:02:12,400 Speaker 1: that kind of thing. But just about any city in 41 00:02:12,520 --> 00:02:15,240 Speaker 1: China is going to have a pretty high level pollution 42 00:02:15,520 --> 00:02:17,440 Speaker 1: as a matter of fact, as far as I know. 43 00:02:17,480 --> 00:02:20,800 Speaker 1: In two thousand and six, the World Bank Fine Bank 44 00:02:21,280 --> 00:02:24,760 Speaker 1: UH conducted a survey of the twenty most polluted cities 45 00:02:24,760 --> 00:02:28,040 Speaker 1: in the world. This is amazing to me. Sixteen of 46 00:02:28,080 --> 00:02:33,200 Speaker 1: the twenty we're in China. I know that's four fifths, right, Yeah, 47 00:02:33,320 --> 00:02:35,600 Speaker 1: that's four fifths by my math. That sounds good. That 48 00:02:35,760 --> 00:02:39,240 Speaker 1: is a lot. So I don't know if Beijing fell 49 00:02:39,280 --> 00:02:42,200 Speaker 1: off of that because they China pulled out all the 50 00:02:42,240 --> 00:02:46,760 Speaker 1: stops to keep Beijing's pollution down. During the Olympics, well, 51 00:02:46,800 --> 00:02:49,840 Speaker 1: I know, I remember watching I believe some was it cyclists, 52 00:02:49,919 --> 00:02:52,280 Speaker 1: US cyclists that kind of caused a little bit of 53 00:02:52,320 --> 00:02:55,239 Speaker 1: a stir when they showed up in Beijing wearing masks, 54 00:02:55,320 --> 00:02:57,600 Speaker 1: breathing masks. I hadn't seen that. I know that all 55 00:02:57,639 --> 00:02:59,760 Speaker 1: manner of athletes were saying that they may not go 56 00:03:00,120 --> 00:03:03,120 Speaker 1: compete in Beijing because they took very seriously the damage 57 00:03:03,160 --> 00:03:04,840 Speaker 1: it was going to do to their bodies. Yeah, they 58 00:03:04,840 --> 00:03:06,960 Speaker 1: were walking around wearing masks, and a lot of people 59 00:03:07,000 --> 00:03:09,360 Speaker 1: were pretty upset about that. Yeah, well, I mean, how 60 00:03:09,360 --> 00:03:12,520 Speaker 1: can you play I've seen pictures. I've never been to Beijing, 61 00:03:13,080 --> 00:03:15,639 Speaker 1: but unless these photos were retouched, it was it was 62 00:03:15,680 --> 00:03:17,720 Speaker 1: pretty serious stuff. Well I think I know where this 63 00:03:17,800 --> 00:03:20,200 Speaker 1: is leading. Yeah, I think you do too, because you know, 64 00:03:20,280 --> 00:03:24,639 Speaker 1: we planned it out ourselves. Pollution sniffing, right. Um, there 65 00:03:24,720 --> 00:03:27,000 Speaker 1: was a group that was assembled and as far as 66 00:03:27,080 --> 00:03:31,320 Speaker 1: I know, they weren't assembled specifically for the Olympics. I 67 00:03:31,360 --> 00:03:33,400 Speaker 1: don't think they've been disbanded. I guess is what I 68 00:03:33,400 --> 00:03:37,040 Speaker 1: mean that the Olympics are over um to walk around 69 00:03:37,520 --> 00:03:42,320 Speaker 1: a province in China, uh, the Guandong province. Please forgive 70 00:03:42,360 --> 00:03:46,360 Speaker 1: me any anyone of Chinese ancestry or from China for 71 00:03:46,600 --> 00:03:51,320 Speaker 1: that terrible, terrible pronunciation. But they walk around the Guandong 72 00:03:51,440 --> 00:03:55,280 Speaker 1: province and sniff out air pollution and they're trained to 73 00:03:55,280 --> 00:03:58,480 Speaker 1: do something, very highly trained. Actually, yeah, it's it's it's 74 00:03:58,560 --> 00:04:00,600 Speaker 1: kind of an unbelievable thing, but it's really true. It 75 00:04:00,960 --> 00:04:03,320 Speaker 1: is true. It is true. Again, I've never met any 76 00:04:03,320 --> 00:04:05,840 Speaker 1: of these people, but I can tell you from all 77 00:04:05,920 --> 00:04:09,240 Speaker 1: reports this is this is a real thing. Um. Basically, 78 00:04:09,240 --> 00:04:12,120 Speaker 1: they took they took a group of I guess, above 79 00:04:12,240 --> 00:04:15,720 Speaker 1: average smellers. I imagine that they're probably not smokers. There 80 00:04:15,760 --> 00:04:20,080 Speaker 1: was some requisition, um, and they took them into this 81 00:04:20,200 --> 00:04:26,080 Speaker 1: this laboratory and had them sniff different noxious smells to 82 00:04:26,160 --> 00:04:29,640 Speaker 1: train their senses. Right yeah, yeah, but they did it 83 00:04:29,720 --> 00:04:33,080 Speaker 1: very intensively. And there's actually a study um that came 84 00:04:33,080 --> 00:04:37,560 Speaker 1: out of I think Northwestern UH that showed that the 85 00:04:37,720 --> 00:04:40,640 Speaker 1: more you sniff a certain smell, the more of an 86 00:04:40,680 --> 00:04:42,920 Speaker 1: expert you becoming in right, you can hone in and 87 00:04:42,920 --> 00:04:46,600 Speaker 1: get more specific with it, because much more complex. So 88 00:04:46,720 --> 00:04:49,200 Speaker 1: I mean, for example, if you smell a flower, a 89 00:04:49,200 --> 00:04:52,640 Speaker 1: certain flower, first time you smell it, you've created a 90 00:04:53,600 --> 00:04:55,800 Speaker 1: it's been codd there's a there's a sense memory in 91 00:04:55,839 --> 00:05:00,600 Speaker 1: your brain memory and um, anytime you see at that 92 00:05:00,720 --> 00:05:03,240 Speaker 1: kind of flower, that set membory is probably going to 93 00:05:03,320 --> 00:05:05,880 Speaker 1: be triggered. So you'll be getting this visual information like, oh, 94 00:05:05,880 --> 00:05:07,800 Speaker 1: there's that flower, and this is what it smells like. 95 00:05:07,920 --> 00:05:12,560 Speaker 1: You know. Um, So once it becomes coated, it's there. 96 00:05:12,760 --> 00:05:16,080 Speaker 1: But it can the complexity of our idea of what 97 00:05:16,120 --> 00:05:19,680 Speaker 1: the thing smells like can be expanded and and subtracted 98 00:05:19,760 --> 00:05:22,479 Speaker 1: from as far as the more he's fine. Sure, So 99 00:05:22,640 --> 00:05:25,440 Speaker 1: this generally happens over time, Like you smell the flower 100 00:05:25,520 --> 00:05:28,359 Speaker 1: once in a while, and you know with the China 101 00:05:28,560 --> 00:05:32,920 Speaker 1: pollution sniffers. Uh, this was a very intensive training period. 102 00:05:33,200 --> 00:05:36,120 Speaker 1: It was over and over again, smell the sulfur. Smell 103 00:05:36,200 --> 00:05:39,360 Speaker 1: the sulfur. You have no choice, back of the net, 104 00:05:39,440 --> 00:05:42,240 Speaker 1: kind of sac blocked in a room smelling these things. 105 00:05:42,560 --> 00:05:45,360 Speaker 1: And it's not a pleasant task. And they even are 106 00:05:45,400 --> 00:05:48,279 Speaker 1: on records it's saying that it is no fun. But 107 00:05:48,480 --> 00:05:52,960 Speaker 1: because they were also trained to smell harmless smells as 108 00:05:53,000 --> 00:05:57,680 Speaker 1: well noxious like like terribly offensive odors, but ones that 109 00:05:57,720 --> 00:06:01,359 Speaker 1: weren't necessarily harmful. So aparently these people were trained to 110 00:06:01,680 --> 00:06:05,839 Speaker 1: walk past any you know, garbage dump or smoke stack 111 00:06:05,880 --> 00:06:08,560 Speaker 1: and go, you know, there's X amount of sulfur in there, 112 00:06:08,560 --> 00:06:11,800 Speaker 1: and I smell a little black carbon and maybe some 113 00:06:11,920 --> 00:06:14,479 Speaker 1: dog poop. That's not that bad, but it's in there. 114 00:06:17,600 --> 00:06:22,120 Speaker 1: Sure maybe so maybe so spring roll to say the least. So. Uh. 115 00:06:22,320 --> 00:06:27,480 Speaker 1: The one thing I never figured out was why I 116 00:06:27,520 --> 00:06:30,840 Speaker 1: got the who, the how, the wind, the what. I 117 00:06:30,960 --> 00:06:34,000 Speaker 1: never figured out the why Why would you train people 118 00:06:34,320 --> 00:06:38,160 Speaker 1: to smell? Well, I would think because they could pinpoint, 119 00:06:38,839 --> 00:06:40,760 Speaker 1: you know, pollution and do something about it. Or is 120 00:06:40,800 --> 00:06:44,840 Speaker 1: that not the case. Well, we we could anyway with 121 00:06:45,040 --> 00:06:49,479 Speaker 1: electronic sensors. Are you talking about the NASA device that's 122 00:06:49,520 --> 00:06:51,359 Speaker 1: one of many. As a matter of fact, I'm pretty 123 00:06:51,400 --> 00:06:53,400 Speaker 1: sure if you want, I've got car keys. I know 124 00:06:53,480 --> 00:06:55,800 Speaker 1: you took the train, But we could go to radio 125 00:06:55,839 --> 00:06:58,160 Speaker 1: shack right now, and I'm pretty sure we could probably 126 00:06:58,200 --> 00:07:02,360 Speaker 1: find some sort of old factory sensing device, an electronic 127 00:07:02,480 --> 00:07:05,840 Speaker 1: version of it check probably if it were a good 128 00:07:05,920 --> 00:07:09,000 Speaker 1: radio check. It would depend on the location. Um, but 129 00:07:09,200 --> 00:07:12,440 Speaker 1: I don't understand, like why you would train humans to 130 00:07:12,480 --> 00:07:15,360 Speaker 1: do this. The the one clear point is you can 131 00:07:15,400 --> 00:07:19,080 Speaker 1: send the radio check or the NASA old factory sensor 132 00:07:19,200 --> 00:07:22,320 Speaker 1: out and it will report back. You know, there's this 133 00:07:22,480 --> 00:07:25,480 Speaker 1: many parts per million of you know, carbon dioxide or 134 00:07:25,520 --> 00:07:28,120 Speaker 1: sulfur or whatever in the air, but it's not gonna 135 00:07:28,160 --> 00:07:32,200 Speaker 1: have any reaction a human would. So it's the human 136 00:07:32,200 --> 00:07:34,960 Speaker 1: would be like, you know, oh, there's sulfur dioxide and 137 00:07:35,000 --> 00:07:37,440 Speaker 1: I'm dying, which is really the one real drawback with 138 00:07:37,480 --> 00:07:39,520 Speaker 1: the pollution. Exactly when you have humans doing this, it 139 00:07:39,560 --> 00:07:42,480 Speaker 1: takes its toll on you know, not only their senses 140 00:07:42,560 --> 00:07:44,880 Speaker 1: but their health. So it does make you wonder why 141 00:07:44,880 --> 00:07:49,080 Speaker 1: they would send people in there. Precisely, and you never 142 00:07:49,120 --> 00:07:52,240 Speaker 1: found out. No, I never had a clue and as 143 00:07:52,280 --> 00:07:55,440 Speaker 1: a matter of fact, it was never spoken of in 144 00:07:55,760 --> 00:07:58,320 Speaker 1: any of the articles I read when I was researching this. 145 00:07:58,880 --> 00:08:01,840 Speaker 1: But um, it seemed to me the big elephant in 146 00:08:01,880 --> 00:08:04,080 Speaker 1: the room, like these people are going to die horrible 147 00:08:04,120 --> 00:08:07,680 Speaker 1: debts in the next few years. Well, and also there 148 00:08:07,720 --> 00:08:10,560 Speaker 1: that seems like their smell would deteriorate or at least 149 00:08:11,080 --> 00:08:13,600 Speaker 1: be you know, neutralized or something over time. Yeah, but 150 00:08:13,640 --> 00:08:16,520 Speaker 1: they're they're recertified every three years. The schedule was every 151 00:08:16,520 --> 00:08:18,480 Speaker 1: three years they would be re certified. So I guess 152 00:08:18,520 --> 00:08:20,120 Speaker 1: that kind of shows that they weren't going to be 153 00:08:20,160 --> 00:08:24,600 Speaker 1: disbanded after the Olympics. Um, because the the olfactory sense 154 00:08:24,640 --> 00:08:28,960 Speaker 1: does deteriorate over time. But the exposure to these harmful chemicals, 155 00:08:29,080 --> 00:08:33,000 Speaker 1: especially in the training uh seminar or segment of the 156 00:08:33,160 --> 00:08:37,920 Speaker 1: of the the whole pollution sniffing academy, UM, I would 157 00:08:38,000 --> 00:08:41,000 Speaker 1: think would really pose a serious health risk, right. I 158 00:08:41,000 --> 00:08:42,600 Speaker 1: would think they would use that, you know, we're talking 159 00:08:42,600 --> 00:08:44,400 Speaker 1: about the NASA thing and then to go the ENOS 160 00:08:44,520 --> 00:08:46,160 Speaker 1: is what they call it. It was just a cute 161 00:08:46,200 --> 00:08:48,640 Speaker 1: and of course is that love that name? And uh, 162 00:08:48,800 --> 00:08:50,840 Speaker 1: they'd use that on the space Shuttle right to detect 163 00:08:51,160 --> 00:08:54,320 Speaker 1: ammonia leaks, which makes a lot of sense that they 164 00:08:54,320 --> 00:08:57,280 Speaker 1: wouldn't send a human up in the space shuttle to 165 00:08:57,400 --> 00:09:00,480 Speaker 1: you know, sniff for money. It seems like it's around 166 00:09:00,600 --> 00:09:03,560 Speaker 1: is or her next thing like ammonia sniffer or I 167 00:09:03,600 --> 00:09:06,120 Speaker 1: break for ammonia right the well, the other the other 168 00:09:06,200 --> 00:09:08,800 Speaker 1: argument against that, aside from you know, that being a 169 00:09:08,840 --> 00:09:12,840 Speaker 1: suicide mission, is that a human just can't smell it 170 00:09:13,440 --> 00:09:17,160 Speaker 1: as as well as this enos can um. You know, 171 00:09:17,240 --> 00:09:19,679 Speaker 1: we can get you know, X number of parts per million. 172 00:09:19,760 --> 00:09:23,000 Speaker 1: Let's say, you know, several hundred parts per million before 173 00:09:23,040 --> 00:09:26,959 Speaker 1: we realize, oh, there's ammonia leak and I'm dead. This 174 00:09:27,320 --> 00:09:30,680 Speaker 1: enos can sniff something like I think one part per million, 175 00:09:30,840 --> 00:09:33,240 Speaker 1: one part per million, you're right, So it knows the 176 00:09:33,280 --> 00:09:36,440 Speaker 1: ammonia leak is going on long before any human has 177 00:09:36,520 --> 00:09:40,600 Speaker 1: even sniffed ammonia. You know how noxious and smelling ammonia is. 178 00:09:41,280 --> 00:09:44,120 Speaker 1: So that's that's the purpose of the enos and it 179 00:09:44,200 --> 00:09:47,439 Speaker 1: goes on. It's equally impressive um down here on Earth. 180 00:09:48,480 --> 00:09:52,360 Speaker 1: It can tell the difference between coke and pepsi. That's 181 00:09:52,400 --> 00:09:54,720 Speaker 1: so awesome, and not not by tasting obviously, no no, no, 182 00:09:54,800 --> 00:09:57,600 Speaker 1: just by smelling, just by smelling, and the other one, Uh, 183 00:09:57,640 --> 00:10:01,199 Speaker 1: it can sense it can it can sniff an electrical 184 00:10:01,240 --> 00:10:06,160 Speaker 1: fire before the fire actually breaks out. Yeah, so so 185 00:10:06,240 --> 00:10:10,080 Speaker 1: the Jet Propulsion Laboratories EENOS is a very valuable item 186 00:10:10,160 --> 00:10:12,360 Speaker 1: to have on board when you're in space. Well, one 187 00:10:12,360 --> 00:10:15,360 Speaker 1: thing I found interesting Joshua was reading this was the 188 00:10:15,720 --> 00:10:17,360 Speaker 1: way smell works is is sort of like the way 189 00:10:17,440 --> 00:10:19,319 Speaker 1: taste works. Yeah, we don't know, and I know we've 190 00:10:19,360 --> 00:10:22,120 Speaker 1: talked about that. Well, I'm talking about specifically the shape 191 00:10:22,520 --> 00:10:25,360 Speaker 1: of the smell receptors and taste receptors. Well, that's a 192 00:10:25,440 --> 00:10:27,920 Speaker 1: that's the theory. They have the same theory for how 193 00:10:28,000 --> 00:10:31,120 Speaker 1: we taste and how we smell. But they both boiled 194 00:10:31,120 --> 00:10:33,400 Speaker 1: down to the fact that their their theories. We don't 195 00:10:33,440 --> 00:10:36,959 Speaker 1: know for certain exactly what's going on. These are these 196 00:10:37,000 --> 00:10:39,120 Speaker 1: are pretty good theories. You want to you want to 197 00:10:39,120 --> 00:10:42,600 Speaker 1: tell them about the the receptor idea, Well, it's it's 198 00:10:42,640 --> 00:10:45,360 Speaker 1: about the the shape, like a certain smell will fit 199 00:10:45,400 --> 00:10:47,960 Speaker 1: a certain shape for the in the in the old 200 00:10:47,960 --> 00:10:50,680 Speaker 1: factory bundle. Is that what it's called, Yes, the old 201 00:10:50,679 --> 00:10:53,360 Speaker 1: factory nerve. Right, Well, these are receptors at the end, 202 00:10:53,400 --> 00:10:56,880 Speaker 1: they're all specialized exactly, but not too specialized, because one 203 00:10:56,920 --> 00:10:59,959 Speaker 1: thing it's found really interesting was that some of the molecules, 204 00:11:00,320 --> 00:11:04,160 Speaker 1: the shape and structure, have completely different smells right there. 205 00:11:04,160 --> 00:11:06,679 Speaker 1: That you can have two molecules that have the same shape, 206 00:11:06,760 --> 00:11:11,160 Speaker 1: same structure, you can't tell anything any difference between them, 207 00:11:11,800 --> 00:11:14,800 Speaker 1: but they have but they register as different smells, which 208 00:11:14,840 --> 00:11:16,439 Speaker 1: kind of shoots a hole in the I think it's 209 00:11:16,440 --> 00:11:18,800 Speaker 1: called the lock and key theory, which they have for 210 00:11:18,920 --> 00:11:25,840 Speaker 1: tastes as well. Uh, certain certain molecules unlock a certain receptor, right, Um, 211 00:11:25,960 --> 00:11:28,000 Speaker 1: so we've got the same thing for taste and in 212 00:11:28,320 --> 00:11:32,200 Speaker 1: the same thing for smell, and they're both equally shoddy theories, 213 00:11:32,280 --> 00:11:35,880 Speaker 1: although they're they're they're predominantly accepted theories. Right. But if 214 00:11:35,920 --> 00:11:38,560 Speaker 1: if the smell molecules can be the same, if they 215 00:11:38,600 --> 00:11:42,040 Speaker 1: can double up, does that explain things like maybe if 216 00:11:42,080 --> 00:11:45,480 Speaker 1: your fart smells like lasagna. I think if your fart 217 00:11:45,520 --> 00:11:48,719 Speaker 1: smells like lasagna, you may have some sort of synesthesia. 218 00:11:49,240 --> 00:11:52,679 Speaker 1: I'm not entirely certain, but you may want to consult 219 00:11:52,800 --> 00:11:55,600 Speaker 1: a physician if your fart smell like lasagna. I wasn't 220 00:11:55,640 --> 00:11:59,360 Speaker 1: speaking personally, I just use as an example. That's okay, chuck, okay, okay. 221 00:11:59,400 --> 00:12:03,640 Speaker 1: So um yeah, I think you have different different receptors 222 00:12:03,640 --> 00:12:08,800 Speaker 1: can be assaulted at the same time to produce a combination. Um, 223 00:12:09,200 --> 00:12:12,000 Speaker 1: much like jellybellies. You know have you have you ever 224 00:12:12,000 --> 00:12:15,360 Speaker 1: eaten jellybelly? Jelly beans? I'm not a jelly bean guy. 225 00:12:15,559 --> 00:12:18,440 Speaker 1: These things are not jelly beans alright. Anyway, if you 226 00:12:18,480 --> 00:12:21,559 Speaker 1: get a bag of it on the back, it says like, 227 00:12:21,760 --> 00:12:25,599 Speaker 1: you know too, blueberry plus one. I think toasted marshmallow 228 00:12:25,720 --> 00:12:30,280 Speaker 1: creates like the flavor of like a blueberry muffin. So 229 00:12:30,320 --> 00:12:33,000 Speaker 1: there's different recipes. Come up with your own. It's very fun. 230 00:12:33,040 --> 00:12:34,600 Speaker 1: Are these the ones that are kind of nasty too? 231 00:12:34,720 --> 00:12:38,640 Speaker 1: Like they have booger and across? I think you're confusing 232 00:12:38,679 --> 00:12:45,080 Speaker 1: a Harry Potter with reality again. Well, um, maybe I am. 233 00:12:45,160 --> 00:12:47,680 Speaker 1: They don't. I don't know, maybe they If anybody has 234 00:12:47,840 --> 00:12:52,400 Speaker 1: hallapeno flavored jelly beans, it would probably be jellybelly. Um. 235 00:12:52,600 --> 00:12:55,680 Speaker 1: But they they're they're generally pretty good. They have some 236 00:12:55,720 --> 00:12:57,520 Speaker 1: pretty good ones, although they do have some that are 237 00:12:57,920 --> 00:13:01,920 Speaker 1: non traditional, like coffee cappuccino and well, maybe we should 238 00:13:01,920 --> 00:13:04,280 Speaker 1: send some of these to our pollution sniffing friends in China. 239 00:13:04,400 --> 00:13:07,520 Speaker 1: Oh they could tell the difference, I guarantee. Yeah, so 240 00:13:07,960 --> 00:13:10,079 Speaker 1: you got everything you got that, you got the pollution 241 00:13:10,080 --> 00:13:12,520 Speaker 1: sniffers down. Yeah. I feel sorry for these guys. It's 242 00:13:12,559 --> 00:13:16,800 Speaker 1: done something a great job. They volunteered, Yes, they volunteered. 243 00:13:16,800 --> 00:13:19,360 Speaker 1: No one pressed them into service. Gereman now is long 244 00:13:19,360 --> 00:13:22,320 Speaker 1: long dead and so yes, and they are paid probably 245 00:13:22,400 --> 00:13:25,640 Speaker 1: pretty well, so don't feel too terribly bad. They're doing 246 00:13:25,679 --> 00:13:28,439 Speaker 1: this on their own accord, and they're helping, you know, 247 00:13:28,600 --> 00:13:32,720 Speaker 1: the people in Guangdong Province by keeping them from harm rightfully. 248 00:13:32,800 --> 00:13:36,720 Speaker 1: So yeah, we sold me good. And you can learn 249 00:13:36,760 --> 00:13:40,280 Speaker 1: more about pollution sniffers and how stuff works dot com. 250 00:13:40,360 --> 00:13:42,480 Speaker 1: We have a search bar that's waiting just for you. 251 00:13:44,120 --> 00:13:46,199 Speaker 1: Let us know what you think. Send an email to 252 00:13:46,320 --> 00:13:51,800 Speaker 1: podcast at how stuff works dot com. 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