1 00:00:01,560 --> 00:00:04,760 Speaker 1: Welcome to Stuff from the Science Lab from how stuff 2 00:00:04,760 --> 00:00:16,480 Speaker 1: works dot com. Hey guys, and welcome to the podcast. 3 00:00:16,560 --> 00:00:18,919 Speaker 1: It's also not don'tolk the science editor how stuff works 4 00:00:18,920 --> 00:00:21,079 Speaker 1: dot com. And this is Robert Lamb, science writer at 5 00:00:21,079 --> 00:00:24,360 Speaker 1: how stuff works dot com. And this week we're talking 6 00:00:24,400 --> 00:00:27,920 Speaker 1: about wine and uh well, wine and science. So first 7 00:00:27,960 --> 00:00:30,880 Speaker 1: of all, we need a stress that kids don't go 8 00:00:30,960 --> 00:00:33,480 Speaker 1: drinking glass of wine while you listen to this podcast. Yeah, 9 00:00:33,520 --> 00:00:36,280 Speaker 1: don't let this inspire you because trust me, you're not 10 00:00:36,320 --> 00:00:38,159 Speaker 1: gonna like what it tastes like anyway when you're old 11 00:00:38,280 --> 00:00:41,080 Speaker 1: enough to drink it. So yeah, later it's gonna take 12 00:00:41,080 --> 00:00:44,360 Speaker 1: a while, so don't rush it. So yeah, we're there's 13 00:00:44,360 --> 00:00:46,240 Speaker 1: all there are. How stuff works dot com has a 14 00:00:46,320 --> 00:00:49,080 Speaker 1: lot of really cool articles about how wine is made, 15 00:00:49,640 --> 00:00:52,360 Speaker 1: about some of the possible health benefits of drinking, like 16 00:00:52,400 --> 00:00:54,080 Speaker 1: a glass of red wine a day, how to make 17 00:00:54,120 --> 00:00:55,800 Speaker 1: your own wine, et cetera. But we're not really going 18 00:00:55,840 --> 00:00:57,400 Speaker 1: to get into all that. If if you want that, 19 00:00:58,000 --> 00:01:02,600 Speaker 1: hit the site because we've got it. The guy covered. Um, 20 00:01:02,640 --> 00:01:05,200 Speaker 1: what we're going to talk about are a few cases 21 00:01:05,200 --> 00:01:07,880 Speaker 1: where science and wine sort of you know, hang out 22 00:01:07,920 --> 00:01:12,000 Speaker 1: together and uh and and conduct some really cool experiments 23 00:01:12,080 --> 00:01:13,920 Speaker 1: or if some or and also in some cases some 24 00:01:14,200 --> 00:01:17,399 Speaker 1: really interesting chance encounters between the world of science and 25 00:01:17,400 --> 00:01:19,319 Speaker 1: the world of wine. And a friendly used to live 26 00:01:19,360 --> 00:01:21,680 Speaker 1: in Atlanta who was a microbiologist, and he went out 27 00:01:21,720 --> 00:01:24,680 Speaker 1: to California with his wife and wound up working as 28 00:01:24,680 --> 00:01:28,240 Speaker 1: a microbiologist out there for one of the vineyards. Yeah, 29 00:01:28,240 --> 00:01:30,240 Speaker 1: I mean there's a real chemistry to it. Um. I 30 00:01:30,280 --> 00:01:33,440 Speaker 1: don't know anybody that um it's like that heavy into 31 00:01:33,520 --> 00:01:36,399 Speaker 1: the science of it, that specific area of the science 32 00:01:36,440 --> 00:01:38,560 Speaker 1: of it. Um. I have a friend who's a dietitian, 33 00:01:38,600 --> 00:01:40,840 Speaker 1: and she when she talks about wine, she definitely has 34 00:01:41,080 --> 00:01:44,000 Speaker 1: a diet dietitian's stance on it. And then I have 35 00:01:44,040 --> 00:01:46,720 Speaker 1: another friend who's who like took courses in like you know, 36 00:01:47,040 --> 00:01:49,640 Speaker 1: the Hawaiian is made in the different regions, and and 37 00:01:49,920 --> 00:01:52,920 Speaker 1: she's you know, she advises people on you know, which 38 00:01:52,920 --> 00:01:54,680 Speaker 1: one to to get in, which you know to pair 39 00:01:54,760 --> 00:01:56,720 Speaker 1: with which cheese, et cetera. So do you think you 40 00:01:56,720 --> 00:02:00,559 Speaker 1: have a good palate? I really, I like in a lot, 41 00:02:00,640 --> 00:02:05,760 Speaker 1: but I'm not like super you know, I don't have 42 00:02:05,800 --> 00:02:08,480 Speaker 1: this amazing po I'm not a super taster or anything. No, No, 43 00:02:08,560 --> 00:02:10,239 Speaker 1: I don't think I'm a super taste either. I think 44 00:02:10,280 --> 00:02:12,400 Speaker 1: as some of my in laws might be super tasters. 45 00:02:12,520 --> 00:02:15,680 Speaker 1: They seem to have amazing palettes and they can discern 46 00:02:15,880 --> 00:02:19,440 Speaker 1: all these amazing tones and flavors and all sorts of 47 00:02:19,480 --> 00:02:21,760 Speaker 1: things in wine that I can never detect. Yeah, I 48 00:02:21,760 --> 00:02:23,400 Speaker 1: tend to like choose bottles based on what kind of 49 00:02:23,440 --> 00:02:26,440 Speaker 1: animals on the label or what price tag they have. 50 00:02:26,880 --> 00:02:29,200 Speaker 1: That also helps a lot. Yeah, but but no, I 51 00:02:29,760 --> 00:02:32,760 Speaker 1: like a good one. But I'd tell you who else 52 00:02:32,840 --> 00:02:37,679 Speaker 1: liked a good wine. Frederic Brochet cognitive neuroscientists at the 53 00:02:37,760 --> 00:02:41,359 Speaker 1: University of Bordeaux in France. What's what did you do? Well? 54 00:02:41,840 --> 00:02:46,200 Speaker 1: This is this is pretty awesome. Um he uh. He 55 00:02:46,280 --> 00:02:48,400 Speaker 1: decided he was going to have some wine specialists he 56 00:02:48,480 --> 00:02:50,919 Speaker 1: knew over for a tasting, fifty four of them. In fact, 57 00:02:51,040 --> 00:02:53,240 Speaker 1: that's a lot of wine knowledge in one room. Yeah, 58 00:02:53,280 --> 00:02:56,959 Speaker 1: and Brochet himself is is quite the wine enthusiast as well. 59 00:02:57,080 --> 00:03:00,079 Speaker 1: So you know this guy invite you over and for 60 00:03:00,120 --> 00:03:01,959 Speaker 1: a tasting, You're like, all right, you know he knows 61 00:03:01,960 --> 00:03:04,840 Speaker 1: his stuff, let's do it. So what happens tasting? Well, 62 00:03:05,000 --> 00:03:09,000 Speaker 1: he decided that he was going to uh to first 63 00:03:09,000 --> 00:03:11,440 Speaker 1: give them a pair of a pair of wines red 64 00:03:11,440 --> 00:03:14,799 Speaker 1: and white taste, um, which they did, and they all 65 00:03:14,919 --> 00:03:17,640 Speaker 1: they all made their notes on the on the wine 66 00:03:17,639 --> 00:03:21,320 Speaker 1: and everybody. And if you provided them with spittoons, probably yeah, 67 00:03:21,320 --> 00:03:23,000 Speaker 1: they're all about the other. You spit it out and 68 00:03:23,000 --> 00:03:25,320 Speaker 1: then you cleanse your palate and all that, and you know, 69 00:03:25,320 --> 00:03:28,519 Speaker 1: switch around some some water, um, and then you describe 70 00:03:28,560 --> 00:03:33,880 Speaker 1: it in all of this rather elegant language, which I 71 00:03:33,880 --> 00:03:36,160 Speaker 1: imagine a number of people have heard before. Um. We 72 00:03:36,240 --> 00:03:38,360 Speaker 1: have a whole list of of these that came from 73 00:03:38,400 --> 00:03:41,680 Speaker 1: the study that Brochet later published. But I mean, I 74 00:03:42,000 --> 00:03:44,280 Speaker 1: love how there are things like you talk about the 75 00:03:44,560 --> 00:03:47,760 Speaker 1: like raspberry tones and uh, you talk about you know, 76 00:03:47,840 --> 00:03:52,480 Speaker 1: the distinct lemon, honey straw floral tastes and the wine 77 00:03:52,520 --> 00:03:55,920 Speaker 1: those would be whites primarily. Yeah, and then you get 78 00:03:55,920 --> 00:03:58,640 Speaker 1: into the reds and I heard one person describe it 79 00:03:58,680 --> 00:04:01,280 Speaker 1: as a leather leather. I thought that was fairly interesting. 80 00:04:01,320 --> 00:04:05,280 Speaker 1: And then they're you know, plumb, final, dark, intense, deep 81 00:04:05,320 --> 00:04:07,720 Speaker 1: in all those sorts of things. My wife has a 82 00:04:07,800 --> 00:04:12,280 Speaker 1: theory that the the more um advanced, the the wine 83 00:04:12,320 --> 00:04:14,800 Speaker 1: condoseur or or or wine snob if you want to 84 00:04:14,800 --> 00:04:18,119 Speaker 1: be judgmental, Um, the more advanced your knowledge of wine, 85 00:04:18,480 --> 00:04:21,600 Speaker 1: the crazier and kind of disgusting your terminology will be 86 00:04:21,640 --> 00:04:23,760 Speaker 1: for even a good wine. So you might be like, hmmm, 87 00:04:23,880 --> 00:04:27,320 Speaker 1: I detect the hint of dog some light takeion notes, 88 00:04:27,360 --> 00:04:28,560 Speaker 1: you know, it'll be stuff that like that. What does 89 00:04:28,560 --> 00:04:30,720 Speaker 1: that even mean? Tachy on that's a sub atomic particle. 90 00:04:30,760 --> 00:04:34,160 Speaker 1: How does the wine taste like that? But but yes, 91 00:04:34,160 --> 00:04:36,039 Speaker 1: so everybody knows the kind of language we're talking about, 92 00:04:36,040 --> 00:04:37,920 Speaker 1: so they would. They tasted the red and the white, 93 00:04:38,120 --> 00:04:40,800 Speaker 1: and they made all these complicated, uh, you know, descriptions, 94 00:04:40,839 --> 00:04:42,960 Speaker 1: and you know, and some of the additives are very 95 00:04:43,040 --> 00:04:47,159 Speaker 1: much white wine describers and others are red wine describers. Okay, 96 00:04:47,720 --> 00:04:50,000 Speaker 1: so you know everybody ha ha ha tries the wine, 97 00:04:50,000 --> 00:04:52,919 Speaker 1: comments on it, puts down their notes. Then he brings 98 00:04:52,920 --> 00:04:55,520 Speaker 1: out a second pair of wine again, a red and 99 00:04:55,520 --> 00:04:59,000 Speaker 1: a white. Everybody does the same thing. You know, they 100 00:04:59,080 --> 00:05:03,080 Speaker 1: taste them, they put down their comments on it, and 101 00:05:03,120 --> 00:05:05,960 Speaker 1: they make their notes. You know that in white language 102 00:05:05,960 --> 00:05:07,920 Speaker 1: for the white wine, red language for the red wine. 103 00:05:08,480 --> 00:05:12,400 Speaker 1: But then the big reveal, the second couple of wines 104 00:05:12,640 --> 00:05:16,280 Speaker 1: are both the same white wine. He just put red 105 00:05:16,320 --> 00:05:19,800 Speaker 1: food coloring, so flavorless red food coloring into one of 106 00:05:19,839 --> 00:05:23,400 Speaker 1: the whites. Kidding. Yeah. And the thing is nobody figured 107 00:05:23,440 --> 00:05:26,360 Speaker 1: it out, like nobody, not a single person. And these 108 00:05:26,360 --> 00:05:29,120 Speaker 1: are all specialists. Not a single one said, hey, I 109 00:05:29,120 --> 00:05:31,239 Speaker 1: think these are the same. This is the same wine, 110 00:05:31,279 --> 00:05:33,240 Speaker 1: and you just put food coloring in one of them. Like, 111 00:05:33,279 --> 00:05:35,560 Speaker 1: no one even said, hey, these are very similar that 112 00:05:35,680 --> 00:05:38,960 Speaker 1: they they used to distinct language to describe the red 113 00:05:39,000 --> 00:05:42,520 Speaker 1: and the white. All right, So if apartually wasn't done, 114 00:05:42,680 --> 00:05:45,760 Speaker 1: that's right, he threw another wine party. He must have 115 00:05:45,760 --> 00:05:48,120 Speaker 1: had to invite a whole different set of specialists. I 116 00:05:48,120 --> 00:05:50,640 Speaker 1: can't imagine the same set of specialists would come back 117 00:05:50,680 --> 00:05:53,400 Speaker 1: after reveal, it seems, or if they would, they would 118 00:05:53,400 --> 00:05:55,839 Speaker 1: be very suspicious, like, all right, what's this wine? What 119 00:05:55,960 --> 00:05:59,360 Speaker 1: you do is the soda water experiment? Yeah, which actually 120 00:05:59,360 --> 00:06:02,800 Speaker 1: he kind of did some things similar to that, because 121 00:06:02,800 --> 00:06:06,440 Speaker 1: he what he did is he told everybody beforehand that 122 00:06:06,480 --> 00:06:08,320 Speaker 1: he was going to serve a common table wine and 123 00:06:08,360 --> 00:06:13,160 Speaker 1: a premium vintage. Alright, something fancy, you know. Um. So 124 00:06:13,240 --> 00:06:14,960 Speaker 1: he he, he starts off, He makes a show of 125 00:06:15,000 --> 00:06:17,839 Speaker 1: tasting each of them, and he responds in a predictable manner. 126 00:06:17,920 --> 00:06:20,320 Speaker 1: You know, he you know, he tastes the table wine, 127 00:06:20,360 --> 00:06:22,280 Speaker 1: he's like, oh, you know, it's table wine. Al right, 128 00:06:22,320 --> 00:06:24,039 Speaker 1: it was, you know, pretty good. Fits it out, and 129 00:06:24,080 --> 00:06:26,120 Speaker 1: then he, you know, and then he tastes the vintage 130 00:06:26,120 --> 00:06:28,400 Speaker 1: and he you know, he sort of waxes poetic about 131 00:06:28,600 --> 00:06:31,279 Speaker 1: how how nice the premium vantage, right, yeah, yeah, the 132 00:06:31,279 --> 00:06:35,599 Speaker 1: premium advantage. Um so, And then everybody else tries it 133 00:06:35,640 --> 00:06:38,080 Speaker 1: as well, and of course they have they do the 134 00:06:38,120 --> 00:06:40,080 Speaker 1: same thing. You know, Okay, you know that this is 135 00:06:40,080 --> 00:06:42,839 Speaker 1: the premium vantage, is this, this and that and the 136 00:06:42,920 --> 00:06:45,200 Speaker 1: you know, the how the the table wine is oh, 137 00:06:45,279 --> 00:06:47,360 Speaker 1: you know, it's it's it's alright, it's table wine. It's 138 00:06:47,400 --> 00:06:50,560 Speaker 1: pretty good. But they don't there's no comparison except they're 139 00:06:50,600 --> 00:06:55,360 Speaker 1: the same common like Bordeaux wine. Oh yeah, there is 140 00:06:55,400 --> 00:06:58,719 Speaker 1: no premium vantage. It's just a very basic wine. And again, 141 00:06:58,800 --> 00:07:01,560 Speaker 1: no one picked up on No one picked up on it. Yeah, 142 00:07:01,839 --> 00:07:03,719 Speaker 1: so what's the lesson here? It seems that taste is 143 00:07:03,760 --> 00:07:06,800 Speaker 1: more than what's on your tongue. It's a combination of 144 00:07:06,839 --> 00:07:10,440 Speaker 1: all the senses, especially what you're seeing and what you're perceiving. 145 00:07:10,960 --> 00:07:12,760 Speaker 1: Is that what Prochet was trying to get at. Yeah, 146 00:07:12,840 --> 00:07:14,480 Speaker 1: and you know, he's not just being a jerk, you know, 147 00:07:14,520 --> 00:07:18,320 Speaker 1: because he's very adamant in the paper that he you know, 148 00:07:18,360 --> 00:07:20,960 Speaker 1: he he likes wine, and that this is actually the 149 00:07:21,000 --> 00:07:23,120 Speaker 1: benefit of people who are in the tasting wine and 150 00:07:23,440 --> 00:07:27,200 Speaker 1: talking about it. It's like, we don't just taste, um, 151 00:07:27,240 --> 00:07:30,600 Speaker 1: you know, a glass of Pinot grigio. You know, we're 152 00:07:30,800 --> 00:07:34,160 Speaker 1: we're looking at it. We're um, we're smelling it, and 153 00:07:34,200 --> 00:07:37,640 Speaker 1: we're bringing in all these preconceptions based on what someone 154 00:07:37,680 --> 00:07:40,880 Speaker 1: just told us about it, what the label looks like, Um, 155 00:07:40,920 --> 00:07:43,400 Speaker 1: you know, how much you paid for it. Uh, you know, 156 00:07:43,440 --> 00:07:46,960 Speaker 1: all these different things end up affecting our experience with 157 00:07:47,000 --> 00:07:51,080 Speaker 1: the wine. Didn't Prochet also predict that the more honed 158 00:07:51,200 --> 00:07:54,480 Speaker 1: a palette um the wine specialists have, the more likely 159 00:07:54,520 --> 00:07:57,160 Speaker 1: they were to fall for this trick, the red dot 160 00:07:57,200 --> 00:07:59,440 Speaker 1: trick at least. Yeah, yeah, they they're the more the 161 00:07:59,520 --> 00:08:01,760 Speaker 1: more into wine you are, and the more of a 162 00:08:01,800 --> 00:08:03,920 Speaker 1: specialist you are, the more likely are to fall for 163 00:08:03,960 --> 00:08:07,960 Speaker 1: the red dye and the white wine. Uh experiment. So 164 00:08:08,120 --> 00:08:10,120 Speaker 1: this made me think of have you ever heard of 165 00:08:10,160 --> 00:08:14,160 Speaker 1: bartenders using like top shelf liquors, or at least the 166 00:08:14,200 --> 00:08:16,760 Speaker 1: bottles of top shelf flickers and filling them with the 167 00:08:16,800 --> 00:08:19,240 Speaker 1: cheap stuff and then serving them to people. Yeah, yeah, 168 00:08:19,280 --> 00:08:22,120 Speaker 1: I've I've heard about that. Yeah, I don't know if 169 00:08:22,120 --> 00:08:23,680 Speaker 1: I would pick up the difference. Do you think you would? 170 00:08:24,560 --> 00:08:27,360 Speaker 1: Probably not? Say, if somebody was giving you pop Off 171 00:08:27,480 --> 00:08:30,160 Speaker 1: versus Kettle one vodka, do you think you would pick 172 00:08:30,240 --> 00:08:32,960 Speaker 1: up on it? Probably not, I'm because I mean one thing, 173 00:08:32,960 --> 00:08:35,120 Speaker 1: if you're having like an Opinia colote or something, I mean, 174 00:08:35,280 --> 00:08:38,040 Speaker 1: it's what what You're probably not going to notice. But 175 00:08:38,040 --> 00:08:41,440 Speaker 1: what about something like a martini or can I don't 176 00:08:41,440 --> 00:08:43,480 Speaker 1: know if I would because I'm just not I don't 177 00:08:43,520 --> 00:08:46,320 Speaker 1: have mixed drinks that often, but I can definitely see 178 00:08:46,360 --> 00:08:48,720 Speaker 1: for somebody especially it was like say a sipping like 179 00:08:48,840 --> 00:08:51,719 Speaker 1: vodka or a sipping tequila or something, right, I think 180 00:08:51,720 --> 00:08:53,800 Speaker 1: it would be harder and if it were served neat 181 00:08:53,840 --> 00:08:56,040 Speaker 1: as opposed to with ice. Yeah. Now, if you just 182 00:08:56,080 --> 00:09:00,760 Speaker 1: it was like Irish car bombs, I thout anybody's gonna notice. Um. 183 00:09:00,800 --> 00:09:03,600 Speaker 1: But that that actually brings up another point. There's a 184 00:09:03,640 --> 00:09:08,040 Speaker 1: friend of mine who's um graphic design person, and she 185 00:09:08,120 --> 00:09:10,200 Speaker 1: has this theory that you could make money selling like 186 00:09:10,360 --> 00:09:14,640 Speaker 1: fake fancy labels that that slide over your bottles of 187 00:09:14,800 --> 00:09:17,840 Speaker 1: two buck chuck absolutely, and uh, and so you can 188 00:09:17,840 --> 00:09:19,880 Speaker 1: just you know, you got to the stories, spend two 189 00:09:19,920 --> 00:09:21,319 Speaker 1: bucks on a bottle of wine, but then you put 190 00:09:21,320 --> 00:09:23,679 Speaker 1: the fancy label on it and everybody's cool with it, 191 00:09:24,000 --> 00:09:26,640 Speaker 1: or you bring it as a gift, to bring a gift, 192 00:09:26,760 --> 00:09:30,679 Speaker 1: and science backs this up as a solid plan. So 193 00:09:30,760 --> 00:09:32,840 Speaker 1: let's move on to our next intersection of science and 194 00:09:32,880 --> 00:09:36,240 Speaker 1: wine are more accurately medicine in wine in this case, Yeah, yeah, 195 00:09:36,240 --> 00:09:38,160 Speaker 1: we have actually yeah, we have a flight of two 196 00:09:38,200 --> 00:09:40,680 Speaker 1: wines here to present to everyone. And the first one 197 00:09:40,880 --> 00:09:43,440 Speaker 1: is h well, I don't want to spoil anything, so 198 00:09:43,440 --> 00:09:45,320 Speaker 1: I guess I'll kind of set it up with the story. 199 00:09:45,440 --> 00:09:49,079 Speaker 1: Right where are we? Um? So two thousand seven, we're 200 00:09:49,120 --> 00:09:52,320 Speaker 1: in Spain, right, and what starts happening is there are 201 00:09:52,520 --> 00:09:54,800 Speaker 1: wine drinkers and they're winding up in the hospital and 202 00:09:54,800 --> 00:09:58,640 Speaker 1: they're having severe allergic reactions. In fact, I think one 203 00:09:58,720 --> 00:10:02,839 Speaker 1: of the five people that shows at the hospital is anaphylactic. So, uh, 204 00:10:02,920 --> 00:10:05,880 Speaker 1: this person is going to die from constricted airways if 205 00:10:05,880 --> 00:10:08,040 Speaker 1: they don't get medical help. Yeah. So this is not 206 00:10:08,120 --> 00:10:10,280 Speaker 1: just oh my face turn red because I had wine. 207 00:10:10,320 --> 00:10:12,480 Speaker 1: This is I'm in the hospital and I'm in some 208 00:10:12,600 --> 00:10:16,680 Speaker 1: serious pain. Right, So the doctors conducted a couple of 209 00:10:16,679 --> 00:10:19,400 Speaker 1: tests and it eventually ruled out all the likely suspects. 210 00:10:19,400 --> 00:10:22,360 Speaker 1: And these were all wine drinkers. We should mention that's 211 00:10:22,360 --> 00:10:25,480 Speaker 1: a very important detail. Um. So, the doctors conducted tests 212 00:10:25,480 --> 00:10:26,920 Speaker 1: and they were trying to figure out what was what. 213 00:10:27,200 --> 00:10:29,520 Speaker 1: So there are a couple of likely suspects, maybe like 214 00:10:29,600 --> 00:10:32,280 Speaker 1: egg way, which is sometimes given to wine to clarify 215 00:10:32,320 --> 00:10:36,400 Speaker 1: it and reduced harshness. But when the doctors started scrutinizing 216 00:10:36,400 --> 00:10:40,160 Speaker 1: the patient's blood, they found antibodies that suggested a recent 217 00:10:40,240 --> 00:10:43,040 Speaker 1: beer wasp sting. Except none of these people have been 218 00:10:43,080 --> 00:10:45,840 Speaker 1: stung recently by a wasp or b. All they've been 219 00:10:45,880 --> 00:10:48,800 Speaker 1: doing was checking down wine. Yeah, so they you know, 220 00:10:48,840 --> 00:10:51,760 Speaker 1: they started investigating and what they what they came up 221 00:10:51,800 --> 00:10:54,920 Speaker 1: with is that everybody, everybody knows the one step in 222 00:10:54,960 --> 00:10:57,959 Speaker 1: the process of wine making, you know, even if you 223 00:10:57,960 --> 00:10:59,880 Speaker 1: don't know all the chemical stuff. You know, like people 224 00:11:00,520 --> 00:11:03,600 Speaker 1: with their bare feet squashing grapes or a machine squashing 225 00:11:03,679 --> 00:11:08,199 Speaker 1: grapes up. Well, what if there's something crawling on the grapes, right, 226 00:11:08,280 --> 00:11:11,920 Speaker 1: what if you have yellow jackets which happened to like 227 00:11:12,080 --> 00:11:15,679 Speaker 1: ripe fruit like grapes but you know, I think everybody 228 00:11:15,679 --> 00:11:18,640 Speaker 1: knows these guys from picnics. They love picnics, and apparently 229 00:11:18,679 --> 00:11:21,600 Speaker 1: they love grapes. So what was happening is yellow jackets 230 00:11:21,640 --> 00:11:24,199 Speaker 1: were getting smashed up with the grapes, and you were 231 00:11:24,240 --> 00:11:28,920 Speaker 1: getting wasp venom in the wine. And then when when 232 00:11:28,920 --> 00:11:31,240 Speaker 1: these people drank it, they had an allergic reaction to 233 00:11:31,320 --> 00:11:35,840 Speaker 1: that venom. So this would probably be more of a 234 00:11:35,920 --> 00:11:39,560 Speaker 1: problem in a wine that hadn't been allowed to age then, right, Yeah, 235 00:11:39,559 --> 00:11:42,840 Speaker 1: they found that older wines were safe because even if 236 00:11:42,840 --> 00:11:44,800 Speaker 1: there's venom in there, the venom will have had time 237 00:11:44,840 --> 00:11:48,679 Speaker 1: to just to grade and lose its potency um. And 238 00:11:48,720 --> 00:11:50,960 Speaker 1: they said it's probably would be good with even just 239 00:11:51,000 --> 00:11:53,959 Speaker 1: a couple of weeks of aging. So something like a Beaujolais. 240 00:11:54,000 --> 00:11:57,000 Speaker 1: Aren't those very new? And don't you drink them very 241 00:11:57,080 --> 00:12:00,000 Speaker 1: quickly after they're produced? I think I've heard that. Yeah, 242 00:12:00,559 --> 00:12:02,840 Speaker 1: so yeah, that would if you had a wine it 243 00:12:02,880 --> 00:12:06,920 Speaker 1: was really fresh, like made yesterday. Uh, this would not 244 00:12:06,960 --> 00:12:08,880 Speaker 1: be a wine to drink if you had, you know, 245 00:12:09,000 --> 00:12:12,439 Speaker 1: some sort of like severe allergic reaction to say, wasp stings. 246 00:12:13,040 --> 00:12:15,079 Speaker 1: This is really interesting. My mother in law actually has 247 00:12:15,120 --> 00:12:18,880 Speaker 1: an allergy to um be stings. She always forgets to 248 00:12:18,880 --> 00:12:21,800 Speaker 1: carry eppiepen around with her. It makes me a little nervous. 249 00:12:22,400 --> 00:12:23,960 Speaker 1: So I guess that means that we can only drink 250 00:12:24,000 --> 00:12:26,439 Speaker 1: the really good stuff with her, the really good old 251 00:12:26,480 --> 00:12:31,920 Speaker 1: stuff of her nine good stuff. Um. So, our next 252 00:12:32,040 --> 00:12:35,720 Speaker 1: wine in our little flight of wines for this tasting 253 00:12:36,400 --> 00:12:39,320 Speaker 1: is a Chinese super wine, most excellent. What does it 254 00:12:39,360 --> 00:12:42,920 Speaker 1: do for you? Well, here's the deal, all right. So 255 00:12:43,040 --> 00:12:45,679 Speaker 1: everybody's read like we were talking about earlier, these articles 256 00:12:45,720 --> 00:12:48,120 Speaker 1: about hey, red wine is good for you, all these studies. 257 00:12:48,160 --> 00:12:49,760 Speaker 1: You know, red wine is good for you because of this. 258 00:12:49,880 --> 00:12:53,200 Speaker 1: It'll um um, you know, it'll it'll make it'll keep 259 00:12:53,240 --> 00:12:55,280 Speaker 1: you younger, it will make you live longer, it'll fight 260 00:12:55,360 --> 00:12:57,920 Speaker 1: cancer or heart disease or you know, you name it. 261 00:12:57,960 --> 00:13:00,040 Speaker 1: There's a lot of It boils down to the antioxidants, 262 00:13:00,120 --> 00:13:02,679 Speaker 1: right right, So the anti accidents and red wines are 263 00:13:03,240 --> 00:13:06,560 Speaker 1: called polyphenols, and the ideas that they're thought to protect 264 00:13:06,559 --> 00:13:09,079 Speaker 1: the lining of blood vessels in your heart according to 265 00:13:09,080 --> 00:13:11,280 Speaker 1: the MAO Clinic. And then there are these two main 266 00:13:11,320 --> 00:13:15,080 Speaker 1: types of antioxidants, so the flavonoids like flavor flavor and 267 00:13:15,200 --> 00:13:19,800 Speaker 1: non flavonoids and there's one non flavonoid that you guys 268 00:13:19,840 --> 00:13:22,960 Speaker 1: have heard a lot about, I'm betting, called raspy tal. Yeah, 269 00:13:23,040 --> 00:13:26,080 Speaker 1: you can butt and supplement front form, right, you can, 270 00:13:26,559 --> 00:13:29,160 Speaker 1: although you can't internationally. I think you can buy it 271 00:13:29,160 --> 00:13:30,480 Speaker 1: in the States. I don't know if the FDA is 272 00:13:30,520 --> 00:13:33,040 Speaker 1: regulated it yet or what. Yes, some of the stuff 273 00:13:33,080 --> 00:13:35,080 Speaker 1: is is weird, like you can get melotone in here 274 00:13:35,320 --> 00:13:38,400 Speaker 1: just over the counter, but I think it's more control 275 00:13:38,480 --> 00:13:41,920 Speaker 1: and like the UK. So, raspital is a compound found 276 00:13:41,960 --> 00:13:45,520 Speaker 1: naturally in grapeskins, and there have been various studies conducted 277 00:13:45,559 --> 00:13:47,800 Speaker 1: on it, and some of them have found that high 278 00:13:47,800 --> 00:13:51,640 Speaker 1: doses can improve muscle endurance and mice and also that 279 00:13:51,720 --> 00:13:56,600 Speaker 1: the compound keeps them slim. And of course again we'll 280 00:13:56,600 --> 00:14:01,360 Speaker 1: stress that the wine skins, uh, those end up more 281 00:14:01,400 --> 00:14:03,600 Speaker 1: in the process for red wine that's white. Red wine 282 00:14:03,679 --> 00:14:06,720 Speaker 1: is red and white wine is white. Right. So, other 283 00:14:06,720 --> 00:14:10,760 Speaker 1: studies have linked respiratual to improving longevity, and then of 284 00:14:10,800 --> 00:14:12,720 Speaker 1: course you have the people who say it doesn't but 285 00:14:12,920 --> 00:14:15,599 Speaker 1: it improves your overall health. Yeah, there's just seems like 286 00:14:15,640 --> 00:14:17,720 Speaker 1: for a while there's like a study every week somebody 287 00:14:17,760 --> 00:14:20,200 Speaker 1: else was hitting it and It's understandable because there's a 288 00:14:20,240 --> 00:14:22,280 Speaker 1: lot of money to be made and things like staying 289 00:14:22,320 --> 00:14:27,080 Speaker 1: young and living forever, indeed immortality. So it's been quite 290 00:14:27,080 --> 00:14:29,680 Speaker 1: the fat Yeah, to say nothing of, um, you know, 291 00:14:29,760 --> 00:14:32,240 Speaker 1: some sort of health reason to drink that glass of 292 00:14:32,280 --> 00:14:35,400 Speaker 1: wine every evening. So as if you needed an excuse, yeah, 293 00:14:35,440 --> 00:14:38,160 Speaker 1: you gotta say, I'm probably staying young. So if for 294 00:14:38,200 --> 00:14:40,840 Speaker 1: spiritual is really great for us, then why not make 295 00:14:40,880 --> 00:14:42,480 Speaker 1: this super wine that has a lot of it in 296 00:14:42,520 --> 00:14:45,640 Speaker 1: it and make a profit from it? Yeah, exactly. So 297 00:14:45,920 --> 00:14:49,400 Speaker 1: what's going on in China? Is that what they're after? Um, 298 00:14:49,520 --> 00:14:53,360 Speaker 1: well sort of, it's Um, there's some researchers at China's 299 00:14:53,400 --> 00:14:57,280 Speaker 1: Northwest Agriculture and Forestry University, and they've been working to 300 00:14:57,320 --> 00:15:00,760 Speaker 1: produced a genetically modified grapevine. Okay, so what they're doing 301 00:15:00,800 --> 00:15:03,080 Speaker 1: is they're throwing in a gene variant from a particular 302 00:15:03,120 --> 00:15:08,520 Speaker 1: wild Chinese vine that increases rez virtral production. Um, they're 303 00:15:08,600 --> 00:15:11,440 Speaker 1: but they're they're not doing this specifically with the idea of, hey, 304 00:15:11,440 --> 00:15:14,600 Speaker 1: we will make some crazy wine that will make people 305 00:15:14,600 --> 00:15:16,800 Speaker 1: think they're gonna live forever. No, because it turns out 306 00:15:16,800 --> 00:15:19,920 Speaker 1: red virtral also works as an effective anti fungal agent 307 00:15:20,000 --> 00:15:23,080 Speaker 1: in the plant, protecting it, you know, from from fungus. 308 00:15:23,120 --> 00:15:25,480 Speaker 1: So that's really what they're going after with this. But 309 00:15:25,560 --> 00:15:28,760 Speaker 1: that's that's not what was necessarily picked up on by 310 00:15:29,080 --> 00:15:32,440 Speaker 1: by various media outlets, you know, because any fungal wine 311 00:15:33,000 --> 00:15:35,160 Speaker 1: and any fungal grapes and I may not read that, 312 00:15:35,240 --> 00:15:38,280 Speaker 1: but not a sexy but super Chinese wine that could 313 00:15:38,320 --> 00:15:40,920 Speaker 1: make me not age, you know. That sounds great, I'll 314 00:15:40,920 --> 00:15:44,000 Speaker 1: click on that. So what about robots and wine? What's 315 00:15:44,000 --> 00:15:47,440 Speaker 1: going on there? Oh? Well? Um, on one level, you 316 00:15:47,520 --> 00:15:49,880 Speaker 1: have the I think a number of people may have 317 00:15:49,920 --> 00:15:51,880 Speaker 1: seen this and actually did a blog entry about this 318 00:15:52,040 --> 00:15:54,840 Speaker 1: like a year ago. Um, and it's kind of old news. 319 00:15:54,880 --> 00:16:01,240 Speaker 1: But the Samoier robot from Japan's ANYC System Technologies, Um, 320 00:16:01,280 --> 00:16:03,280 Speaker 1: this is like, you know, and like all Japanese robots, 321 00:16:03,280 --> 00:16:05,120 Speaker 1: it's this cute little guy that you know, it was 322 00:16:05,160 --> 00:16:08,200 Speaker 1: kind of like a little like pudgy dwarf or something. 323 00:16:09,040 --> 00:16:10,720 Speaker 1: But it looks like he just came round of an anime, 324 00:16:10,800 --> 00:16:14,960 Speaker 1: you know. And but he can identify wines with an 325 00:16:14,960 --> 00:16:19,120 Speaker 1: infrared scanner and give food pairing recommendations. You can also 326 00:16:19,200 --> 00:16:22,520 Speaker 1: taste leftovers and tell you what they are, And can 327 00:16:22,520 --> 00:16:25,520 Speaker 1: we just stop right there? Why why is he tasting leftovers? 328 00:16:25,560 --> 00:16:27,800 Speaker 1: Why don't you know what the leftovers are in your fridge? 329 00:16:28,360 --> 00:16:29,880 Speaker 1: I mean, do you need a robot to tell you 330 00:16:29,960 --> 00:16:33,120 Speaker 1: what your leftovers are in your fridge? I thinst so unrecognizable? 331 00:16:33,160 --> 00:16:35,520 Speaker 1: And if if they're so unrecognizable in your fridge, then 332 00:16:35,520 --> 00:16:38,040 Speaker 1: perhaps you should just throw them away. Well, if you 333 00:16:38,040 --> 00:16:40,360 Speaker 1: start asking do we need a robot to do this, 334 00:16:40,440 --> 00:16:42,320 Speaker 1: that or the other, then I mean you're gonna end up. 335 00:16:42,680 --> 00:16:45,080 Speaker 1: I mean that crosses out most of the robotic stuff 336 00:16:45,080 --> 00:16:49,400 Speaker 1: that's going on in Japan. Well, this particular Summilier robot 337 00:16:49,520 --> 00:16:52,040 Speaker 1: identified human flesh as bacon, So it seems like there 338 00:16:52,040 --> 00:16:53,960 Speaker 1: are a few flaws to be worked out. Maybe I 339 00:16:54,000 --> 00:16:56,960 Speaker 1: don't know, maybe human flesh taste like bacon. I think 340 00:16:56,960 --> 00:17:00,160 Speaker 1: I've heard that before. Really, yeah, so maybe the robots 341 00:17:00,160 --> 00:17:05,120 Speaker 1: correct I suppose. Well, we have another pretty cool story 342 00:17:05,160 --> 00:17:09,359 Speaker 1: about one robots, and this one was detailed and Astrobiology magazine. Yeah, 343 00:17:09,400 --> 00:17:13,760 Speaker 1: this one is a pretty cool story. Um. It centers around, uh, basically, 344 00:17:13,800 --> 00:17:15,720 Speaker 1: a couple of years ago centers around this. Uh. You 345 00:17:15,800 --> 00:17:19,879 Speaker 1: see Berkeley chemistry professor by the name of Richard Matthews 346 00:17:20,200 --> 00:17:23,879 Speaker 1: all right, and uh. During the day, he was working 347 00:17:23,880 --> 00:17:28,560 Speaker 1: on a prototype for the Mars Organic Analyzer or MOA. Uh, 348 00:17:28,560 --> 00:17:31,680 Speaker 1: and this is the most sophisticated life detection instrument ever 349 00:17:32,000 --> 00:17:35,080 Speaker 1: to be sent to the Red planet and will be 350 00:17:35,440 --> 00:17:39,399 Speaker 1: going to So that's his day job. At night, like 351 00:17:39,440 --> 00:17:40,879 Speaker 1: a lot of us, who likes to come home, you know, 352 00:17:40,920 --> 00:17:42,800 Speaker 1: we sit on his porch, You have a little dinner, 353 00:17:42,880 --> 00:17:46,840 Speaker 1: have little red wine, and then go to sleep and 354 00:17:46,880 --> 00:17:50,359 Speaker 1: then wake up at like three thirty am, like hot, 355 00:17:50,520 --> 00:17:53,960 Speaker 1: flustered with a racing heart and uh, you know, has 356 00:17:54,000 --> 00:17:56,640 Speaker 1: to get out of bed and somehow call himself back downs. 357 00:17:56,680 --> 00:17:59,800 Speaker 1: We shouldn't going through menopause. What was going on? Um No, 358 00:18:00,520 --> 00:18:07,639 Speaker 1: But what was happening was something called tyramine. Okay, tyramine 359 00:18:07,720 --> 00:18:10,240 Speaker 1: the modified amino acid that sets off a chemical reaction 360 00:18:10,280 --> 00:18:12,399 Speaker 1: that causes the body to produce adrenaline. I mean, that 361 00:18:12,440 --> 00:18:13,960 Speaker 1: would be it. And it's common in a lot of 362 00:18:13,960 --> 00:18:20,760 Speaker 1: foods that are made with bacterial fermentation. So you're pungent cheeses, age, meats, 363 00:18:20,960 --> 00:18:24,359 Speaker 1: you know, all the good stuff. Yeah, so you know 364 00:18:24,440 --> 00:18:26,240 Speaker 1: he was probably was a little bummed out about this. 365 00:18:26,760 --> 00:18:28,960 Speaker 1: Professor Matthews had this idea. He wanted to know what 366 00:18:29,000 --> 00:18:31,399 Speaker 1: produces it, and then wham, he realized, well, what do 367 00:18:31,440 --> 00:18:34,520 Speaker 1: you know, he can marry his nighttime wine drinking with 368 00:18:34,600 --> 00:18:37,040 Speaker 1: his daytime job because he spent a decade of his 369 00:18:37,080 --> 00:18:41,480 Speaker 1: life in fact, building a machine that can analyze organic compounds. Yeah, 370 00:18:41,480 --> 00:18:44,600 Speaker 1: the most advanced one on the planet, you know. Yeah, 371 00:18:44,720 --> 00:18:46,440 Speaker 1: so that's pretty sweet to have that at your at 372 00:18:46,480 --> 00:18:48,600 Speaker 1: your disposal. Yeah. So what he did is he got 373 00:18:48,640 --> 00:18:51,160 Speaker 1: in touch with the local wine cellar and they started 374 00:18:51,280 --> 00:18:54,679 Speaker 1: running wines through this device. And the the original the 375 00:18:54,800 --> 00:18:57,640 Speaker 1: article which you can you can look up. It's online, um, 376 00:18:57,720 --> 00:18:59,560 Speaker 1: and we'll probably link to it on the blogs when 377 00:18:59,600 --> 00:19:02,960 Speaker 1: we sure well yeah, uh, there's a real detailed description 378 00:19:02,960 --> 00:19:06,920 Speaker 1: of how this device works. Um, And it's really detailed, 379 00:19:06,960 --> 00:19:10,600 Speaker 1: so we'll just trust trust is it works. That involves 380 00:19:10,720 --> 00:19:14,600 Speaker 1: lasers and uh and um and like tagging the molecules 381 00:19:14,640 --> 00:19:17,199 Speaker 1: and then analyzing them. And it's far more advanced than 382 00:19:17,240 --> 00:19:20,120 Speaker 1: anything that like the Viking. Um, you know Rover's head 383 00:19:20,160 --> 00:19:24,120 Speaker 1: on Mars in the past. But anyway, so he goes 384 00:19:24,160 --> 00:19:25,919 Speaker 1: the winery, they start running wine through it, and not 385 00:19:25,960 --> 00:19:28,399 Speaker 1: just the finished product, but like wine from every step 386 00:19:28,480 --> 00:19:32,760 Speaker 1: of the fermentation process. To figure out, you know, when 387 00:19:33,200 --> 00:19:36,520 Speaker 1: when the tyraman is coming into play, and uh, they 388 00:19:36,600 --> 00:19:40,320 Speaker 1: ended up keying in on the secondary fermentation process, also 389 00:19:40,359 --> 00:19:45,560 Speaker 1: known as the malolactic formation, where malik acid converts into 390 00:19:45,600 --> 00:19:50,040 Speaker 1: lactic acid um. And this is like malik is typically 391 00:19:50,080 --> 00:19:52,320 Speaker 1: in the fruits and it can be a bit bitter, 392 00:19:52,400 --> 00:19:56,720 Speaker 1: so lactic acid softens the taste. Right, So this is 393 00:19:56,760 --> 00:20:01,040 Speaker 1: the process that fills the wine with not only tira means, 394 00:20:01,040 --> 00:20:05,320 Speaker 1: but also histamines which cause allertic reactions, right, anti histamines. Sure. Yeah, 395 00:20:05,880 --> 00:20:08,479 Speaker 1: the research is still continuing, um, and they're looking at 396 00:20:08,520 --> 00:20:12,320 Speaker 1: like which which wines are more likely to contain tiramine 397 00:20:12,359 --> 00:20:15,840 Speaker 1: and which even which wineries are more likely to produce it. 398 00:20:16,680 --> 00:20:20,399 Speaker 1: But there's actually really even more incredible possible future for 399 00:20:20,440 --> 00:20:22,800 Speaker 1: this technology, right. You could see it being deployed on 400 00:20:22,840 --> 00:20:25,240 Speaker 1: a much grander scale. I mean, there's so many food 401 00:20:25,240 --> 00:20:27,560 Speaker 1: allergies and we're so hypper aware of what we're eating 402 00:20:27,560 --> 00:20:30,399 Speaker 1: these days, and peanuts have made the headlines numerous times. 403 00:20:30,840 --> 00:20:34,040 Speaker 1: You could see apparent wielding you know, handheld device like 404 00:20:34,080 --> 00:20:37,320 Speaker 1: this and analyzing sample of that airplane food to see 405 00:20:37,320 --> 00:20:40,400 Speaker 1: if it had peanuts in it or whatever your allergy 406 00:20:40,560 --> 00:20:43,680 Speaker 1: was Yeah. Matthews even predicts that this technology could be 407 00:20:43,720 --> 00:20:47,119 Speaker 1: incorporated into um like other food related gadgets, like it 408 00:20:47,160 --> 00:20:50,320 Speaker 1: could be part of a food processor or or something 409 00:20:50,359 --> 00:20:53,000 Speaker 1: even like in refrigeration, where you wouldn't have to look 410 00:20:53,000 --> 00:20:55,560 Speaker 1: in the refrigerator and and be like, mmmmm, I wonder 411 00:20:55,640 --> 00:20:57,760 Speaker 1: if the tuna fish is going to kill me today, 412 00:20:57,920 --> 00:21:00,320 Speaker 1: because the refrigerator will tell you, hey, dude, don't eat 413 00:21:00,320 --> 00:21:02,280 Speaker 1: that tuna fish because it will kill you. You You know 414 00:21:02,400 --> 00:21:05,480 Speaker 1: that kind of thing. So it's pretty pretty amazing. Yeah, 415 00:21:05,520 --> 00:21:07,760 Speaker 1: I would totally be your call if you disobeyed the device, 416 00:21:07,800 --> 00:21:09,200 Speaker 1: which I would be likely to do. I hate to 417 00:21:09,240 --> 00:21:10,960 Speaker 1: see food go to waste. I thought you'd like, you 418 00:21:11,000 --> 00:21:15,320 Speaker 1: hate to be bossed around by refrigerators to close the door. 419 00:21:15,320 --> 00:21:18,240 Speaker 1: I don't want to close the door. So there you 420 00:21:18,280 --> 00:21:24,240 Speaker 1: have it. There's some some science and wine UM. So 421 00:21:24,320 --> 00:21:27,120 Speaker 1: if you're of legal age and in the next time 422 00:21:27,160 --> 00:21:30,560 Speaker 1: you partake of of a fine vintage, I hope you 423 00:21:30,680 --> 00:21:34,600 Speaker 1: think of us. So, hey, we got a little reader 424 00:21:34,640 --> 00:21:36,320 Speaker 1: mail by the way, Oh why didn't you eat it? 425 00:21:39,760 --> 00:21:43,399 Speaker 1: We recently heard from Shantal from Australia and she had 426 00:21:43,400 --> 00:21:46,480 Speaker 1: a couple of things to correct us on. First, in 427 00:21:46,520 --> 00:21:51,360 Speaker 1: the Venom podcast. Uh, we were talking about a gusset 428 00:21:52,400 --> 00:21:54,480 Speaker 1: um which and it turns out this is a part 429 00:21:54,520 --> 00:21:59,760 Speaker 1: of the pantyhose and it's not a specifically an Australian thing. Okay, 430 00:21:59,800 --> 00:22:02,919 Speaker 1: so good, good to know on that part. Also, she 431 00:22:02,960 --> 00:22:06,440 Speaker 1: wanted to clarify we were kind of having a little 432 00:22:06,440 --> 00:22:09,919 Speaker 1: fun with Australia and it's many venomous things and talking 433 00:22:09,920 --> 00:22:12,240 Speaker 1: about people having to wear pantyhose everywhere to keep from 434 00:22:12,240 --> 00:22:15,160 Speaker 1: being killed by horrible, horrible lives. She set a straight 435 00:22:15,160 --> 00:22:17,159 Speaker 1: on the difference between panty house and stockings, which I 436 00:22:17,200 --> 00:22:18,960 Speaker 1: was not aware of. I think I used the terms 437 00:22:18,960 --> 00:22:22,000 Speaker 1: interchangeably until now, but now I will not. Yeah, I 438 00:22:22,920 --> 00:22:25,119 Speaker 1: was not aware either. But she also points out and 439 00:22:25,160 --> 00:22:27,320 Speaker 1: should I do that Australian accident? No, I don't think so. 440 00:22:27,440 --> 00:22:30,960 Speaker 1: I think I think no Australian accent um, she says. 441 00:22:31,600 --> 00:22:34,440 Speaker 1: By the way, we don't live in caves. We all 442 00:22:34,480 --> 00:22:37,120 Speaker 1: have electricity, and none of us ride kangaroos to work 443 00:22:37,160 --> 00:22:40,080 Speaker 1: each day. Good. You know, the spider and venomous creatures 444 00:22:40,080 --> 00:22:42,040 Speaker 1: are only found out in the wild, and our National 445 00:22:42,040 --> 00:22:45,320 Speaker 1: geographic shows our cities and towns are much the same 446 00:22:45,359 --> 00:22:48,800 Speaker 1: as those in the USA, just with less junk food outlets. 447 00:22:48,800 --> 00:22:52,080 Speaker 1: Good to know. I still want to visit badly. Yeah, yeah, 448 00:22:52,160 --> 00:22:54,120 Speaker 1: I'd like to get down there. So if you want 449 00:22:54,119 --> 00:22:56,280 Speaker 1: to tell us what's on your mind, whether it's about 450 00:22:56,320 --> 00:22:59,240 Speaker 1: Australia wine or anything else and Usnina signed stuff that 451 00:22:59,320 --> 00:23:02,240 Speaker 1: has to firk start come yeah and check out the blogs. 452 00:23:02,480 --> 00:23:05,600 Speaker 1: We have a lot of cool blog entries. The fact 453 00:23:05,600 --> 00:23:08,800 Speaker 1: we have one that did recently about like what is 454 00:23:08,840 --> 00:23:11,479 Speaker 1: the coldest wine can get? And where where's the coldest 455 00:23:11,480 --> 00:23:14,560 Speaker 1: place in the universe you could possibly drink? It? Sounds good? Yeah, 456 00:23:14,640 --> 00:23:16,440 Speaker 1: it's pretty funn have to read it over a glass 457 00:23:16,440 --> 00:23:19,119 Speaker 1: of one. Yeah. Oh, and we have a Twitter and 458 00:23:19,160 --> 00:23:22,000 Speaker 1: a Facebook. We do, yeah, so check that out. We're 459 00:23:22,119 --> 00:23:24,919 Speaker 1: lab stuff on Twitter and you can also just do 460 00:23:24,960 --> 00:23:28,160 Speaker 1: a search for lab stuff on on Facebook as well. 461 00:23:28,520 --> 00:23:31,440 Speaker 1: We're Google. Yeah. All right, that's all we have. Thanks 462 00:23:31,440 --> 00:23:41,119 Speaker 1: for listening, guys for more on this and thousands of 463 00:23:41,160 --> 00:23:44,520 Speaker 1: other topics because at how stuff works dot com. Want 464 00:23:44,560 --> 00:23:47,199 Speaker 1: more how stuff works, check out our blogs on the 465 00:23:47,200 --> 00:24:01,359 Speaker 1: house stuff works dot com home page.