1 00:00:07,800 --> 00:00:11,399 Speaker 1: The history of plastic is intimately tied to the history 2 00:00:11,440 --> 00:00:14,720 Speaker 1: of the game of billiards. In the eighteen sixties, the 3 00:00:14,760 --> 00:00:19,120 Speaker 1: billiard's industry had a problem. The game was super popular, 4 00:00:19,200 --> 00:00:20,680 Speaker 1: but it was hard to keep up with the demand 5 00:00:20,760 --> 00:00:24,279 Speaker 1: for high end billiard balls because the material used to 6 00:00:24,280 --> 00:00:28,400 Speaker 1: make the balls was limited. The material was elephant tusks, 7 00:00:28,680 --> 00:00:31,040 Speaker 1: and it took about two tusks to make a complete 8 00:00:31,120 --> 00:00:34,479 Speaker 1: set of balls. A major billiard ball company offered a 9 00:00:34,520 --> 00:00:37,239 Speaker 1: ten thousand dollars reward for anyone who could come up 10 00:00:37,280 --> 00:00:41,519 Speaker 1: with a sturdy alternative. John Wesley Hyatt was inspired by 11 00:00:41,560 --> 00:00:44,080 Speaker 1: this call, and he came up with an alternative to 12 00:00:44,200 --> 00:00:48,400 Speaker 1: tusks that became the first industrial plastic. Now, the initial 13 00:00:48,479 --> 00:00:53,040 Speaker 1: prototypes had the downside that they were highly flammable, and 14 00:00:53,080 --> 00:00:56,240 Speaker 1: there were rumors that they would sometimes explode upon impact 15 00:00:56,320 --> 00:00:59,480 Speaker 1: during a game. Or maybe that's an upside because it 16 00:00:59,480 --> 00:01:02,520 Speaker 1: would make the game a lot more exciting. But anyway, 17 00:01:02,520 --> 00:01:06,559 Speaker 1: today plastics are ubiquitous. They're in our tires, our clothes, 18 00:01:06,760 --> 00:01:10,480 Speaker 1: they line our paper cups, they make disposable medical equipment 19 00:01:10,520 --> 00:01:14,280 Speaker 1: which helps protect us from transmissible diseases, and the microphone 20 00:01:14,280 --> 00:01:16,720 Speaker 1: in computer that I'm using to record this episode have 21 00:01:16,800 --> 00:01:19,560 Speaker 1: plastic in them too. It's kind of hard to imagine 22 00:01:19,640 --> 00:01:24,039 Speaker 1: life without plastic. We're probably all aware that plastic has 23 00:01:24,120 --> 00:01:28,039 Speaker 1: downsides too. We're not really good at disposing of it properly, 24 00:01:28,080 --> 00:01:31,679 Speaker 1: for example, And there's now garbage patches in the ocean, 25 00:01:31,800 --> 00:01:34,920 Speaker 1: which are spots where currents have aggregated the trash we've 26 00:01:34,920 --> 00:01:37,920 Speaker 1: released into the sea. And we've probably all seen images 27 00:01:37,920 --> 00:01:40,680 Speaker 1: of animals like turtles and birds that have died from 28 00:01:40,720 --> 00:01:44,760 Speaker 1: consuming or getting trapped by large pieces of plastic. And 29 00:01:44,800 --> 00:01:47,640 Speaker 1: those are the easy to see problems. In the last 30 00:01:47,640 --> 00:01:50,600 Speaker 1: decade or so, we've become more concerned with the plastics 31 00:01:50,600 --> 00:01:54,240 Speaker 1: that are harder to see, the micro and the nanoplastics. 32 00:01:54,640 --> 00:01:57,920 Speaker 1: These are bits of plastic less than five millimeters in length, 33 00:01:57,960 --> 00:02:01,280 Speaker 1: which is like about the length of an ant, and smaller, 34 00:02:02,000 --> 00:02:05,280 Speaker 1: much smaller. Some of these tiny plastics are made on 35 00:02:05,360 --> 00:02:08,519 Speaker 1: purpose for use in things like cosmetics, and some are 36 00:02:08,600 --> 00:02:11,480 Speaker 1: just the teeny tiny bits of bigger pieces of plastic 37 00:02:11,520 --> 00:02:14,840 Speaker 1: that have broken down over time. These tiny pieces of 38 00:02:14,880 --> 00:02:18,920 Speaker 1: plastic are now found around the globe. Even pristine environments 39 00:02:18,960 --> 00:02:23,560 Speaker 1: that rarely see people will see our plastics because super 40 00:02:23,600 --> 00:02:26,760 Speaker 1: small plastic pieces go airborne, and they move with air 41 00:02:26,800 --> 00:02:30,480 Speaker 1: currents around the world closer to home. We've found very 42 00:02:30,480 --> 00:02:34,440 Speaker 1: small pieces of plastic in human hearts, brains, testicles, and more. 43 00:02:35,120 --> 00:02:37,880 Speaker 1: It's even been found in baby maconium, which is a 44 00:02:37,880 --> 00:02:40,799 Speaker 1: baby's first poop, so it's working its way through a 45 00:02:40,880 --> 00:02:44,720 Speaker 1: fetuses as well. How worried should we be? This is 46 00:02:44,760 --> 00:02:47,880 Speaker 1: an episode of Daniel and Kelly's Extraordinary Universe, So you've 47 00:02:47,919 --> 00:02:51,919 Speaker 1: probably already guessed that the answer is, well, we don't 48 00:02:51,919 --> 00:02:54,800 Speaker 1: really know. We haven't been studying this for very long, 49 00:02:54,880 --> 00:02:57,440 Speaker 1: and as we'll discuss, it's a hard problem to study, 50 00:02:57,960 --> 00:03:00,519 Speaker 1: and it's not feasible or maybe even design mirable to 51 00:03:00,560 --> 00:03:04,200 Speaker 1: stop using plastics entirely. So what do we do about 52 00:03:04,280 --> 00:03:08,640 Speaker 1: microplastics if we decide we should be worried? Welcome to 53 00:03:08,720 --> 00:03:10,680 Speaker 1: Daniel and Kelly's Plastic Universe. 54 00:03:24,040 --> 00:03:27,240 Speaker 2: Hi. I'm Daniel. I'm a particle physicist, and I'm a parent, 55 00:03:27,440 --> 00:03:29,600 Speaker 2: so I always think we should be worried. 56 00:03:30,760 --> 00:03:33,960 Speaker 1: Hello. I'm Kelly Wayne or Smith. I study parasites and space, 57 00:03:34,000 --> 00:03:37,800 Speaker 1: and I have severe anxiety, so I also always worry, 58 00:03:37,840 --> 00:03:40,520 Speaker 1: and actually being a parent made that a little bit worse. 59 00:03:40,640 --> 00:03:42,760 Speaker 2: All right, Well, then my question for you is do 60 00:03:42,840 --> 00:03:45,840 Speaker 2: you think worrying helps? I mean, I know this is 61 00:03:45,840 --> 00:03:49,240 Speaker 2: like culture of worrying. Jewish mom send each other messages 62 00:03:49,320 --> 00:03:53,400 Speaker 2: like start worrying. Now you could probably like hire a 63 00:03:53,480 --> 00:03:56,120 Speaker 2: room full of Jewish mom somewhere, like worry on your behalf? 64 00:03:56,640 --> 00:03:58,680 Speaker 2: Have you know nine dollars an hour or ninety nine? 65 00:03:58,720 --> 00:04:02,320 Speaker 2: I don't know think that worrying helps. Does it make 66 00:04:02,480 --> 00:04:05,440 Speaker 2: us think deeply about all the possible issues? Does it 67 00:04:05,480 --> 00:04:07,480 Speaker 2: make us better scientists? What do you think? 68 00:04:07,600 --> 00:04:07,920 Speaker 1: I think? 69 00:04:08,000 --> 00:04:09,120 Speaker 2: What's the upside of worrying? 70 00:04:09,240 --> 00:04:15,200 Speaker 1: It depends. I think so. I think Zach doesn't worry enough. 71 00:04:15,920 --> 00:04:17,360 Speaker 1: And so there have been a couple of times where 72 00:04:17,360 --> 00:04:19,240 Speaker 1: I've felt like I've had to step in to get 73 00:04:19,240 --> 00:04:21,520 Speaker 1: the worrying level up to the right amount so that 74 00:04:21,560 --> 00:04:23,160 Speaker 1: we could take care of some problems that needed to 75 00:04:23,160 --> 00:04:23,800 Speaker 1: get taken care of. 76 00:04:24,080 --> 00:04:26,200 Speaker 2: Was that when your stove was on fire recently? For example? 77 00:04:26,400 --> 00:04:33,039 Speaker 1: Uh no, I I actually when I opened up the 78 00:04:33,120 --> 00:04:36,040 Speaker 1: stove and I looked inside and I saw the fire, 79 00:04:36,240 --> 00:04:38,360 Speaker 1: which was not my food, thank you very much, It 80 00:04:38,440 --> 00:04:42,640 Speaker 1: was something else. My first thought was I should call Zach, 81 00:04:42,800 --> 00:04:46,719 Speaker 1: and my second thought was what would he do? I 82 00:04:46,760 --> 00:04:49,240 Speaker 1: don't need to call Zach. And then it turned out 83 00:04:49,279 --> 00:04:52,680 Speaker 1: that Zach's brother had given me a fire extinguisher, So 84 00:04:52,920 --> 00:04:55,960 Speaker 1: who I needed was Zack's brother. Thank you, Marty, and 85 00:04:56,279 --> 00:04:59,000 Speaker 1: I pulled out the fire extinguisher. Everything was okay, I 86 00:04:59,040 --> 00:05:01,680 Speaker 1: need to change the heat element or whatever. But I 87 00:05:01,680 --> 00:05:03,720 Speaker 1: think you need to worry a little, but you need 88 00:05:03,720 --> 00:05:06,120 Speaker 1: to not overdo it. And I massively overdo it. Zach 89 00:05:06,279 --> 00:05:09,240 Speaker 1: underdoes it, and then I think we average are worrying 90 00:05:09,360 --> 00:05:11,080 Speaker 1: and we get the right amount of stuff done. But 91 00:05:11,080 --> 00:05:12,080 Speaker 1: what do you think, Well. 92 00:05:11,960 --> 00:05:14,920 Speaker 2: I have this friend who's a neuroscientist who thinks that 93 00:05:15,240 --> 00:05:18,960 Speaker 2: worrying is what makes us better scientists, because you like 94 00:05:19,000 --> 00:05:20,920 Speaker 2: wake up in the midlight you're like, wait a second, 95 00:05:20,960 --> 00:05:23,159 Speaker 2: what if this part of that paper is wrong? What 96 00:05:23,360 --> 00:05:25,400 Speaker 2: if blah blah blah blah blah, How would I know 97 00:05:25,520 --> 00:05:27,720 Speaker 2: for sure? And then you come up with another test 98 00:05:27,800 --> 00:05:30,520 Speaker 2: to verify that, And so it really helps make your 99 00:05:30,560 --> 00:05:33,120 Speaker 2: science bulletproof because you sort of put yourself in the 100 00:05:33,120 --> 00:05:35,719 Speaker 2: mind the reviewer and ask all the critical questions, and 101 00:05:35,760 --> 00:05:38,520 Speaker 2: you worry about being embarrassed in front of your colleagues 102 00:05:38,560 --> 00:05:41,279 Speaker 2: when your results are shown to be an artifact. So 103 00:05:41,400 --> 00:05:43,640 Speaker 2: I think that it is helpful in that sense, and 104 00:05:43,680 --> 00:05:47,000 Speaker 2: it also helps you prepare for eventualities. Like the reason 105 00:05:47,040 --> 00:05:49,719 Speaker 2: I buy insurance is because I worry about stuff, right, 106 00:05:50,080 --> 00:05:51,760 Speaker 2: But I agree that it can go too far. It 107 00:05:51,760 --> 00:05:54,520 Speaker 2: can be unproductive for sure. But you know, I think 108 00:05:54,560 --> 00:05:57,359 Speaker 2: on this podcast we aim for just the right level 109 00:05:57,440 --> 00:05:59,920 Speaker 2: of worrying. We aim to educate you enough to make 110 00:06:00,279 --> 00:06:02,000 Speaker 2: knowledgeable choices about your life. 111 00:06:02,040 --> 00:06:04,120 Speaker 1: Right, Yes, that's right, that's exactly right. 112 00:06:04,360 --> 00:06:07,560 Speaker 2: And so you hear all about disgusting parasites you will 113 00:06:07,600 --> 00:06:10,120 Speaker 2: probably never get and don't have to worry about. But 114 00:06:10,240 --> 00:06:13,720 Speaker 2: now you know enough not to go swimming with snails 115 00:06:13,800 --> 00:06:15,520 Speaker 2: in Venezuela or whatever it was. 116 00:06:15,720 --> 00:06:18,080 Speaker 1: Well, and you know what questions to ask your doctor 117 00:06:18,120 --> 00:06:21,120 Speaker 1: when you go see here you go, Yeah, something like that. 118 00:06:21,120 --> 00:06:21,800 Speaker 1: That's our goal. 119 00:06:22,320 --> 00:06:24,600 Speaker 2: That comes from a person who has repeatedly gone to 120 00:06:24,640 --> 00:06:26,719 Speaker 2: the doctor convinced he had toe cancer. 121 00:06:27,080 --> 00:06:31,160 Speaker 1: Toe cancer in particular. Is there something weird about your 122 00:06:31,200 --> 00:06:33,719 Speaker 1: toes that that makes you think they're cancer? 123 00:06:33,800 --> 00:06:37,239 Speaker 2: Is No, I am just a hypochondriac and am capable 124 00:06:37,240 --> 00:06:40,479 Speaker 2: of convincing myself that's some weird thing. It's probably cancer 125 00:06:40,720 --> 00:06:42,840 Speaker 2: and a better of the doctor. And I'm the kind 126 00:06:42,839 --> 00:06:44,559 Speaker 2: of guy who shows up the doctor without a list. 127 00:06:44,880 --> 00:06:47,640 Speaker 2: Here's seven reasons why I'm dying. Let's go through them. 128 00:06:47,760 --> 00:06:48,279 Speaker 1: Ah. 129 00:06:48,320 --> 00:06:50,479 Speaker 2: And you know, a good doctor is the one that, 130 00:06:50,640 --> 00:06:54,320 Speaker 2: like knowledgeably but patiently walks you through the reasons why 131 00:06:54,440 --> 00:06:55,839 Speaker 2: you're not dying today. 132 00:06:56,160 --> 00:06:56,480 Speaker 3: That's right. 133 00:06:56,760 --> 00:06:58,719 Speaker 1: So I came. I came with my own list for 134 00:06:58,760 --> 00:07:01,320 Speaker 1: the same thing for the doctor. And after I went 135 00:07:01,320 --> 00:07:04,320 Speaker 1: through the list, the doctor said, can I ask you 136 00:07:04,400 --> 00:07:08,080 Speaker 1: some questions? Can I give you a survey for anxiety? 137 00:07:09,040 --> 00:07:12,640 Speaker 1: And we discovered Kelly doesn't have cancer. Kelly has severe anxiety. 138 00:07:13,120 --> 00:07:15,240 Speaker 1: So thank you to that doctor for listening to what 139 00:07:15,320 --> 00:07:16,080 Speaker 1: I wasn't saying. 140 00:07:16,640 --> 00:07:19,160 Speaker 2: And so today we're actually doing an episode about something 141 00:07:19,280 --> 00:07:22,840 Speaker 2: I've been wondering about whether we need to be worried about, 142 00:07:22,920 --> 00:07:25,480 Speaker 2: but I wasn't knowledgeable enough about it to know whether 143 00:07:25,560 --> 00:07:28,560 Speaker 2: worrying was justified or just my anxiety. 144 00:07:29,280 --> 00:07:31,480 Speaker 1: And you know what, it's nice to get clear answers, 145 00:07:31,520 --> 00:07:36,040 Speaker 1: but you're not getting that today. Daniel also, sorry, but at. 146 00:07:36,040 --> 00:07:37,840 Speaker 2: Least I'm going to be brought up to the forefront 147 00:07:37,840 --> 00:07:38,480 Speaker 2: of current. 148 00:07:38,240 --> 00:07:40,240 Speaker 1: Knowledge, right, that's right, that's right. 149 00:07:40,280 --> 00:07:42,720 Speaker 2: You will me so I won't have to be worried 150 00:07:42,720 --> 00:07:44,960 Speaker 2: that I don't know enough to worry. So there you go. 151 00:07:45,160 --> 00:07:47,440 Speaker 1: All right, there you go. Well, so let's start by 152 00:07:47,480 --> 00:07:50,360 Speaker 1: seeing what the general public thinks of this question, or 153 00:07:50,360 --> 00:07:52,960 Speaker 1: at least what the extraordinaries, who are probably not a 154 00:07:53,040 --> 00:07:55,760 Speaker 1: random subset of the general public. Let's see what our 155 00:07:55,800 --> 00:07:58,920 Speaker 1: extraordinaries think. So I asked, should we be worried about 156 00:07:58,920 --> 00:08:01,080 Speaker 1: microplastics or why not? 157 00:08:01,680 --> 00:08:05,560 Speaker 4: Probably not. I've seen articles that microplastics are everywhere and 158 00:08:05,600 --> 00:08:08,280 Speaker 4: they're going to ruin our health in the environment, but 159 00:08:08,360 --> 00:08:11,480 Speaker 4: I've never seen them give irrelevant context, such as what 160 00:08:11,520 --> 00:08:14,160 Speaker 4: the biological effects are. I'm open to learning more, but 161 00:08:14,280 --> 00:08:16,560 Speaker 4: in the meantime, I'm not too worried about it, and 162 00:08:16,600 --> 00:08:20,080 Speaker 4: I'll continue to worry instead about climate change and my 163 00:08:20,200 --> 00:08:20,880 Speaker 4: own diet. 164 00:08:21,160 --> 00:08:25,640 Speaker 5: I certainly believe that we should be worried about microplastics. 165 00:08:26,160 --> 00:08:30,000 Speaker 5: First of all, there is a coating of plastic around 166 00:08:30,080 --> 00:08:35,960 Speaker 5: the world so thick that anthropologists are considering naming our 167 00:08:36,080 --> 00:08:39,320 Speaker 5: current epoch of the plastic scene because it'll form a 168 00:08:39,360 --> 00:08:43,520 Speaker 5: permanent layer that doesn't even begin to show all the 169 00:08:43,559 --> 00:08:46,440 Speaker 5: potential harmful effects of the microplastics. 170 00:08:46,720 --> 00:08:50,319 Speaker 2: Our immune system simply has not evolved to remove plastics 171 00:08:50,360 --> 00:08:54,200 Speaker 2: from our bodies, and the more they accumulate, then the 172 00:08:54,280 --> 00:08:55,640 Speaker 2: more we can expect trouble. 173 00:08:55,960 --> 00:09:00,400 Speaker 3: Microplastics have been discovered all over the globe, I believe 174 00:09:00,440 --> 00:09:03,640 Speaker 3: in Antarctica. We don't know absolutely sure the link and 175 00:09:03,720 --> 00:09:08,000 Speaker 3: mechanism to problems, but it can't be good. 176 00:09:08,400 --> 00:09:10,920 Speaker 6: In about seventy five years, we went from there being 177 00:09:11,040 --> 00:09:13,960 Speaker 6: none to now being so pervasive that they can be 178 00:09:14,000 --> 00:09:16,680 Speaker 6: found in the deepest depths of the ocean and even 179 00:09:16,720 --> 00:09:20,000 Speaker 6: in our brains. I would love to know what these 180 00:09:20,240 --> 00:09:22,920 Speaker 6: materials can be doing to our health and the rest 181 00:09:22,920 --> 00:09:26,520 Speaker 6: of the ecosystem, so we can support policies that limit 182 00:09:26,559 --> 00:09:29,320 Speaker 6: its production and perhaps even help clean it up. 183 00:09:29,600 --> 00:09:32,280 Speaker 7: Yes, I do think we should be worried about microplastics. 184 00:09:32,440 --> 00:09:35,600 Speaker 7: We don't know how our bodies, animals, and the environment 185 00:09:36,000 --> 00:09:39,640 Speaker 7: are affected by these things, and we should investigate more. 186 00:09:39,920 --> 00:09:42,360 Speaker 2: All right, So a lot of people out there feel 187 00:09:42,360 --> 00:09:44,800 Speaker 2: like there might be something to worry about. At least, 188 00:09:44,880 --> 00:09:48,360 Speaker 2: it's somewhat alarming that there's plastics everywhere. We don't really 189 00:09:48,400 --> 00:09:50,840 Speaker 2: understand what they might do or how they might interfere 190 00:09:50,880 --> 00:09:54,760 Speaker 2: with the function of this incredibly complex Goldberg machine we 191 00:09:54,840 --> 00:09:55,680 Speaker 2: call our bodies. 192 00:09:55,920 --> 00:09:58,320 Speaker 1: Yeah, that's right, And I thought it was interesting. One 193 00:09:58,360 --> 00:10:01,560 Speaker 1: of our listeners mentioned that to sometimes suggest we could 194 00:10:01,559 --> 00:10:04,760 Speaker 1: call this era the plastic scene, because if you geologically 195 00:10:04,800 --> 00:10:07,560 Speaker 1: dig through, you can see a layer where plastic has 196 00:10:07,640 --> 00:10:10,600 Speaker 1: essentially been accumulating as we've made it go like airborne 197 00:10:10,640 --> 00:10:12,640 Speaker 1: and all over the planet. And so I feel like, 198 00:10:12,679 --> 00:10:15,080 Speaker 1: you know, if you look at human impacts first, you'll 199 00:10:15,080 --> 00:10:18,040 Speaker 1: see like a layer that's a bit radioactive from all 200 00:10:18,040 --> 00:10:21,199 Speaker 1: of our nuclear tests, and then you'll see a plastic layer. 201 00:10:21,320 --> 00:10:23,200 Speaker 1: And you know, we've done a lot of beautiful things, 202 00:10:23,200 --> 00:10:26,000 Speaker 1: but I don't feel like geology is telling a beautiful story. 203 00:10:26,600 --> 00:10:28,240 Speaker 2: Wow, what a record we are leaving. 204 00:10:28,360 --> 00:10:31,400 Speaker 1: Huh, that's right, that's right. But we do a lot 205 00:10:31,440 --> 00:10:33,360 Speaker 1: of amazing things with plastics, right, And so one of 206 00:10:33,360 --> 00:10:36,040 Speaker 1: the things that kind of frustrated me when I was 207 00:10:36,360 --> 00:10:37,760 Speaker 1: you know, I tried to see how other people have 208 00:10:37,840 --> 00:10:41,520 Speaker 1: covered this topic, and there's a lot of people being like, oh, plastics, 209 00:10:41,520 --> 00:10:44,440 Speaker 1: they're horrible, and like, I get it. I get it. 210 00:10:44,440 --> 00:10:46,880 Speaker 1: I'm an ecologist. I worry about the environment. I worry 211 00:10:46,920 --> 00:10:49,120 Speaker 1: about the impacts on animals. I worry about the impacts 212 00:10:49,120 --> 00:10:53,560 Speaker 1: on us, But plastics really make our lives a lot better, right, Like, 213 00:10:53,679 --> 00:10:56,120 Speaker 1: I think you need to keep in mind the trade. 214 00:10:55,880 --> 00:10:58,559 Speaker 2: Offs here, give me a top five reasons why plastics 215 00:10:58,559 --> 00:10:59,720 Speaker 2: are good for humanity? 216 00:10:59,840 --> 00:11:01,560 Speaker 1: Well, I mean, so we've got like all of the 217 00:11:01,920 --> 00:11:04,640 Speaker 1: disposable plastic medical equipment that helps make sure that we 218 00:11:04,640 --> 00:11:08,120 Speaker 1: don't transmit diseases to each other. That's pretty great. Most 219 00:11:08,160 --> 00:11:10,120 Speaker 1: of our clothes now, even clothes that are made of 220 00:11:10,240 --> 00:11:14,199 Speaker 1: natural fibers quote unquote, have some plasticky stuff in them. 221 00:11:14,559 --> 00:11:17,640 Speaker 1: And you know, I think making clothing more affordable and 222 00:11:17,679 --> 00:11:20,520 Speaker 1: making it so that everybody can afford to where things 223 00:11:20,520 --> 00:11:23,360 Speaker 1: that make them feel nice is huge and great. And 224 00:11:23,400 --> 00:11:25,160 Speaker 1: in general, I don't know that I'm going to go 225 00:11:25,280 --> 00:11:27,360 Speaker 1: for all five because I don't know that people really 226 00:11:27,400 --> 00:11:30,240 Speaker 1: care about Kelly's top five things. But in general, I 227 00:11:30,280 --> 00:11:32,720 Speaker 1: think there's a lot of things that are now within 228 00:11:32,800 --> 00:11:35,800 Speaker 1: the price range of the average American that wouldn't be 229 00:11:35,840 --> 00:11:38,920 Speaker 1: if we had to use quote unquote natural substances. And 230 00:11:39,040 --> 00:11:42,680 Speaker 1: natural substances aren't necessarily always better for the environment. So, 231 00:11:42,720 --> 00:11:46,000 Speaker 1: for example, we started this episode with the story about 232 00:11:46,200 --> 00:11:48,800 Speaker 1: wanting to find a different material to make billiard balls 233 00:11:48,800 --> 00:11:52,240 Speaker 1: out of because we were using elephant tusks. Oh no, 234 00:11:52,520 --> 00:11:54,160 Speaker 1: so everything's a trade off. You know, if we were 235 00:11:54,200 --> 00:11:56,080 Speaker 1: to get all of our products from nature. That would 236 00:11:56,120 --> 00:11:58,800 Speaker 1: be pretty damaging to the environment also, and so I 237 00:11:58,800 --> 00:12:02,640 Speaker 1: don't know, I'm Kelly. So the message here is it's complicated. 238 00:12:02,760 --> 00:12:04,760 Speaker 1: It depends you need to look at it from a 239 00:12:04,800 --> 00:12:05,800 Speaker 1: number of different angles. 240 00:12:05,840 --> 00:12:08,240 Speaker 2: Well, so tell me how long have we had plastic 241 00:12:08,280 --> 00:12:11,920 Speaker 2: I imagine it's something that came about in the space age, 242 00:12:11,960 --> 00:12:15,840 Speaker 2: like the sixties seventies, you know, Dow chemicals invented or something. 243 00:12:15,880 --> 00:12:17,800 Speaker 2: I'm pretty fuzzy on the history here. Educate me. 244 00:12:18,040 --> 00:12:20,439 Speaker 1: Well, So that billiard ball example, that was one of 245 00:12:20,520 --> 00:12:24,120 Speaker 1: the first examples of someone making a plastic y substance. 246 00:12:24,160 --> 00:12:27,400 Speaker 1: It was celluloid and it was a hard substance so 247 00:12:27,400 --> 00:12:29,640 Speaker 1: that you could bounce billiard balls off of each other 248 00:12:30,080 --> 00:12:32,800 Speaker 1: without having them like sort of dent and bend in 249 00:12:32,840 --> 00:12:36,559 Speaker 1: ways that would impact how they moved. They were slightly flammable, 250 00:12:36,600 --> 00:12:38,679 Speaker 1: which I mentioned in the introduction, and so if they 251 00:12:39,000 --> 00:12:42,560 Speaker 1: spang together sometimes they would set on fire, which would 252 00:12:42,600 --> 00:12:45,360 Speaker 1: actually make me watch a game of pool. And so, 253 00:12:46,320 --> 00:12:49,440 Speaker 1: but large scale production didn't really start until the nineteen fifties. 254 00:12:49,480 --> 00:12:52,560 Speaker 1: Around the nineteen fifties the nineteen sixties, like single use 255 00:12:52,840 --> 00:12:56,160 Speaker 1: you know, plastic spoons, single use plastic everything really became 256 00:12:56,200 --> 00:12:59,120 Speaker 1: fashionable as a way to make our lives easier, and 257 00:12:59,160 --> 00:13:01,560 Speaker 1: they were really they were much less expensive than a 258 00:13:01,559 --> 00:13:04,840 Speaker 1: bunch of the other stuff. And so since the nineteen fifties, 259 00:13:04,880 --> 00:13:07,679 Speaker 1: the amount of plastic in our lives has been increasing 260 00:13:07,760 --> 00:13:10,640 Speaker 1: at a tremendous rate. And that's the big plastic stuff. 261 00:13:10,720 --> 00:13:12,880 Speaker 2: And so help me understand why, Like, if we knew 262 00:13:12,920 --> 00:13:15,600 Speaker 2: how to make this stuff for one hundred years, why 263 00:13:15,600 --> 00:13:18,760 Speaker 2: do we only really begin making it in large volume 264 00:13:18,760 --> 00:13:21,280 Speaker 2: in the fifties. Was this after like post World War 265 00:13:21,320 --> 00:13:23,440 Speaker 2: two industrialization or something else. 266 00:13:23,679 --> 00:13:25,840 Speaker 1: I didn't look too much into the history of plastics, 267 00:13:25,840 --> 00:13:27,560 Speaker 1: but my sense is that it did take a while 268 00:13:27,600 --> 00:13:30,560 Speaker 1: to figure out the chemical processes. And so, you know, 269 00:13:30,640 --> 00:13:34,560 Speaker 1: plastics as a category, like encompasses loads of different kinds 270 00:13:34,559 --> 00:13:37,080 Speaker 1: of plastics that are good for a lot of different purposes. 271 00:13:37,120 --> 00:13:38,440 Speaker 1: And so I think it took us a while to 272 00:13:38,480 --> 00:13:40,880 Speaker 1: figure out how to make different kinds of plastics, what 273 00:13:40,880 --> 00:13:44,320 Speaker 1: they're good for, how to industrially scale up so that 274 00:13:44,400 --> 00:13:46,440 Speaker 1: we could, you know, use them for lots of different stuff. 275 00:13:46,440 --> 00:13:48,600 Speaker 1: How do you make injection molds for this kind of stuff. 276 00:13:49,040 --> 00:13:50,760 Speaker 1: I think all of that just took a while. 277 00:13:51,080 --> 00:13:53,360 Speaker 2: All right, And so we're talking about plastic spoons and 278 00:13:53,440 --> 00:13:57,040 Speaker 2: plastic medical equipment. I know Katrina uses it for her diabetes, 279 00:13:57,040 --> 00:14:01,319 Speaker 2: she has these tubes, et cetera. But nobody's manufact cturing microplastics. 280 00:14:01,360 --> 00:14:03,320 Speaker 2: What are microplastics exactly? 281 00:14:03,840 --> 00:14:07,400 Speaker 1: Well, people are manufacturing microplastics as I understand it, the 282 00:14:07,400 --> 00:14:10,000 Speaker 1: bulk of the plastics. So the bulk of the plastics is, 283 00:14:10,760 --> 00:14:12,679 Speaker 1: you know, you get a plastic bag, you get a 284 00:14:12,720 --> 00:14:14,880 Speaker 1: shirt with some plastic in it, and it ends up 285 00:14:14,920 --> 00:14:18,920 Speaker 1: either in a landfill or it ends up in the ocean, 286 00:14:19,200 --> 00:14:21,600 Speaker 1: and over time it breaks down. It could be because 287 00:14:21,680 --> 00:14:24,880 Speaker 1: UV radiation is breaking it down into pieces. It could 288 00:14:24,880 --> 00:14:26,840 Speaker 1: be because there are just fibers on your shirt that 289 00:14:26,920 --> 00:14:28,960 Speaker 1: go airboard and they end up on the floor in 290 00:14:29,000 --> 00:14:32,600 Speaker 1: your carpet in your home. So they come from big 291 00:14:32,640 --> 00:14:36,080 Speaker 1: plastic breaking down, but they do also come from purposefully 292 00:14:36,120 --> 00:14:39,120 Speaker 1: making small pieces of plastic. So for a while, it 293 00:14:39,240 --> 00:14:45,280 Speaker 1: was fashionable to have microbeads in like exfoliation stuff, so 294 00:14:45,400 --> 00:14:47,960 Speaker 1: like cosmetic stuff for like washing your face to help 295 00:14:48,040 --> 00:14:51,120 Speaker 1: like move dead skin cells off. We now have rules 296 00:14:51,120 --> 00:14:53,840 Speaker 1: in both the US and Europe against that kind of stuff, 297 00:14:53,840 --> 00:14:57,040 Speaker 1: but you can still end up with microplastics in I 298 00:14:57,080 --> 00:14:59,600 Speaker 1: think you can have them like in moisturizers. They almost 299 00:14:59,640 --> 00:15:02,000 Speaker 1: act like ball bearings, just making it so that things 300 00:15:02,040 --> 00:15:04,640 Speaker 1: go on a little bit smoother. But let's do some 301 00:15:04,680 --> 00:15:08,520 Speaker 1: definitions here. Microplastics are defined as things that are five 302 00:15:08,560 --> 00:15:11,960 Speaker 1: millimeters in size or less. That's true. Big, Yeah, that 303 00:15:12,040 --> 00:15:13,920 Speaker 1: is pretty big. That's like an ant, right, that's something 304 00:15:13,960 --> 00:15:17,120 Speaker 1: you could see. So anything five millimeters in size or 305 00:15:17,200 --> 00:15:19,840 Speaker 1: less is a microplastic. But we also have a category 306 00:15:19,960 --> 00:15:24,840 Speaker 1: called nanoplastics, and these are one micrometer in size or less, 307 00:15:24,880 --> 00:15:27,480 Speaker 1: So these are probably not something you're likely to see. 308 00:15:27,920 --> 00:15:34,680 Speaker 2: I hold on, microplastics are millimeter sized, nanoplastics are micrometer sized. 309 00:15:35,080 --> 00:15:37,400 Speaker 2: Why don't they line up the name with the size, Like, 310 00:15:37,440 --> 00:15:41,760 Speaker 2: why don't nanoplastics be nanometer and microplastics be micrometer? Wouldn't 311 00:15:41,760 --> 00:15:42,440 Speaker 2: that make sense? 312 00:15:42,720 --> 00:15:45,400 Speaker 1: That would make sense. And it's a bit ironic that 313 00:15:45,480 --> 00:15:50,080 Speaker 1: the physicist is complaining about naming. But I'm not gonna say. 314 00:15:51,000 --> 00:15:53,360 Speaker 2: You know what they say, Every accusation is a confession. 315 00:15:53,600 --> 00:15:56,400 Speaker 1: That's right, that's right. I don't know who's to blame 316 00:15:56,440 --> 00:16:00,480 Speaker 1: for this naming system, but yes, you're right, it's not intuitive. 317 00:16:00,760 --> 00:16:06,000 Speaker 2: Pico plastics are one nanometer in size. That's all right. 318 00:16:06,520 --> 00:16:09,720 Speaker 2: So we have microplastics, which are actually kind of big nanoplastics, 319 00:16:09,720 --> 00:16:12,520 Speaker 2: which is super duper small. But how much of this 320 00:16:12,560 --> 00:16:13,400 Speaker 2: really is around? 321 00:16:13,640 --> 00:16:15,480 Speaker 1: First, I want to say, it's really hard to estimate. 322 00:16:15,520 --> 00:16:18,360 Speaker 1: And while I was reading, the more recent papers are 323 00:16:18,520 --> 00:16:20,640 Speaker 1: estimating more and more and more. And that's because we 324 00:16:20,720 --> 00:16:24,520 Speaker 1: have better and better techniques for identifying smaller and smaller 325 00:16:24,560 --> 00:16:27,960 Speaker 1: pieces of nanoplastic. So it's pretty easy, like by eye 326 00:16:28,160 --> 00:16:31,080 Speaker 1: to count how many pieces of plastic fibers that are 327 00:16:31,080 --> 00:16:34,880 Speaker 1: five millimeters long are in a water sample, for example, 328 00:16:35,240 --> 00:16:38,000 Speaker 1: but looking at objects that are one micrometer or less 329 00:16:38,120 --> 00:16:41,760 Speaker 1: is much harder. But there's an estimate that fifty one 330 00:16:41,880 --> 00:16:47,280 Speaker 1: trillion microplastic particles are floating in our ocean. Trillion, trillion, trillion, 331 00:16:47,440 --> 00:16:49,600 Speaker 1: I said, trillion, Yeah, oh my gosh. I read this 332 00:16:49,640 --> 00:16:52,720 Speaker 1: book called A Poison Like No Other by Matt Simon, 333 00:16:52,760 --> 00:16:55,640 Speaker 1: and it's all about microplastics. And he talks about how 334 00:16:55,640 --> 00:16:59,960 Speaker 1: microplastics have been found in invertebrates in the Marianna ste 335 00:17:00,040 --> 00:17:04,720 Speaker 1: Trench in the most remote mountainous regions you can go to, 336 00:17:05,040 --> 00:17:08,439 Speaker 1: and like this has just permeated our entire world. So 337 00:17:08,880 --> 00:17:10,760 Speaker 1: you know, when we drive down the road, we kick 338 00:17:10,800 --> 00:17:13,960 Speaker 1: plastics off of our tires. Some of those go airborne. 339 00:17:13,960 --> 00:17:16,399 Speaker 1: They take air currents, you know, to the ocean or 340 00:17:16,440 --> 00:17:20,159 Speaker 1: across the ocean. Anywhere you go and sample, there's a 341 00:17:20,280 --> 00:17:23,160 Speaker 1: really good chance that you are going to find a microplastic. 342 00:17:23,440 --> 00:17:25,520 Speaker 1: I feel like I should at a caveat. I do 343 00:17:25,560 --> 00:17:28,760 Speaker 1: feel like that book over sells what we know about 344 00:17:28,760 --> 00:17:31,639 Speaker 1: the risks a bit. But if you are looking to 345 00:17:31,720 --> 00:17:34,800 Speaker 1: be scared and you're looking to understand where all the 346 00:17:34,840 --> 00:17:37,040 Speaker 1: microplastics are and how much of them are out there, 347 00:17:37,480 --> 00:17:41,280 Speaker 1: that book is encyclopedic in its laying out of where 348 00:17:41,280 --> 00:17:43,360 Speaker 1: we find these things and how they might be hurting us. 349 00:17:43,520 --> 00:17:45,960 Speaker 2: I'm still having my mind blown by the number. Fifty 350 00:17:46,040 --> 00:17:50,760 Speaker 2: one trillion. Yeah, more microplastics than there are stars in 351 00:17:50,800 --> 00:17:54,000 Speaker 2: the galaxy. Like if Elon Musk wanted to buy all 352 00:17:54,040 --> 00:17:57,040 Speaker 2: the microplastics for a penny each, he couldn't afford it. 353 00:17:57,040 --> 00:17:58,919 Speaker 2: It's just hard to grapple with that number. 354 00:17:59,040 --> 00:18:01,240 Speaker 1: It is, and again you should consider that number to 355 00:18:01,280 --> 00:18:04,320 Speaker 1: have huge error bars. But for example, like there was 356 00:18:04,359 --> 00:18:07,040 Speaker 1: a study looking at how many pieces of microplastics are 357 00:18:07,080 --> 00:18:08,760 Speaker 1: in a bottle of water, and you you know, you 358 00:18:08,800 --> 00:18:10,359 Speaker 1: think when you get a bottle of water, you're getting 359 00:18:10,359 --> 00:18:13,200 Speaker 1: something that's nice and clean. Some bottles of water had 360 00:18:13,359 --> 00:18:16,440 Speaker 1: essentially no pieces of plastic in a liter of water. 361 00:18:16,800 --> 00:18:19,560 Speaker 1: Others had up to ten thousand particles of plastic in 362 00:18:19,600 --> 00:18:20,440 Speaker 1: a liter of water. 363 00:18:20,680 --> 00:18:23,240 Speaker 2: Oh boy, they should list on the ingredients including ten 364 00:18:23,280 --> 00:18:24,720 Speaker 2: thousand part plastic. 365 00:18:24,960 --> 00:18:27,160 Speaker 1: That's right, well, and a lot of it probably depends 366 00:18:27,200 --> 00:18:29,640 Speaker 1: on like, you know, how were those water bottles stored. 367 00:18:30,000 --> 00:18:31,879 Speaker 1: Did they get like left out in the sun for 368 00:18:31,920 --> 00:18:34,240 Speaker 1: a few hours, because that breaks it down. Now plastics 369 00:18:34,280 --> 00:18:36,720 Speaker 1: are starting to come out, and part of why the 370 00:18:36,800 --> 00:18:39,200 Speaker 1: numbers get so big when you're talking about how many 371 00:18:39,320 --> 00:18:41,920 Speaker 1: pieces of microplastics are in the environment is that they 372 00:18:42,119 --> 00:18:45,840 Speaker 1: don't break down really well. So a big plastic bag 373 00:18:45,880 --> 00:18:49,720 Speaker 1: will break down into much smaller component parts, but after 374 00:18:49,760 --> 00:18:52,440 Speaker 1: that they don't break down the way something biological would. 375 00:18:52,520 --> 00:18:54,679 Speaker 1: So when you've got biological stuff out there, you have 376 00:18:54,760 --> 00:18:56,920 Speaker 1: decomposers that go and they eat it and they turn 377 00:18:56,960 --> 00:19:00,240 Speaker 1: it into other stuff. There are some plastic war is 378 00:19:00,240 --> 00:19:03,320 Speaker 1: that we're discovering, some like bacteria that can break down plastic, 379 00:19:03,680 --> 00:19:06,879 Speaker 1: but in general, plastic is a thing that wasn't really 380 00:19:06,920 --> 00:19:09,639 Speaker 1: in our environment in super high quantities in the past, 381 00:19:09,920 --> 00:19:12,680 Speaker 1: so evolution doesn't necessarily have a way to break it down. 382 00:19:12,800 --> 00:19:14,520 Speaker 1: Nature doesn't really have a way to break it down, 383 00:19:14,960 --> 00:19:17,640 Speaker 1: and so they tend to accumulate and they break down 384 00:19:17,720 --> 00:19:19,800 Speaker 1: to like some point where they're very small, and then 385 00:19:19,920 --> 00:19:22,199 Speaker 1: often they appear to stop breaking down and then they 386 00:19:22,280 --> 00:19:24,240 Speaker 1: just accumulate in these small sizes. 387 00:19:24,520 --> 00:19:26,040 Speaker 2: So that's the thing I'm trying to wrap my head 388 00:19:26,080 --> 00:19:29,560 Speaker 2: around is that plastic feels really stable, and you know, 389 00:19:29,560 --> 00:19:31,280 Speaker 2: if you have a coke bottle, you expect it's still 390 00:19:31,320 --> 00:19:32,680 Speaker 2: going to be there in one hundred years or a 391 00:19:32,720 --> 00:19:35,760 Speaker 2: thousand years or whatever. So why do they break down 392 00:19:35,880 --> 00:19:39,240 Speaker 2: at all? Like why do macroplastics turn into microplastics and 393 00:19:39,280 --> 00:19:42,000 Speaker 2: then stop breaking down. I would expect they're either stable 394 00:19:42,040 --> 00:19:43,359 Speaker 2: and a coke bottle is going to be here in 395 00:19:43,359 --> 00:19:46,040 Speaker 2: a million years, or it's going to break down into 396 00:19:46,200 --> 00:19:49,880 Speaker 2: like you know, atoplastics or whatever. The smallest fundamental bit 397 00:19:49,880 --> 00:19:52,280 Speaker 2: of plastic is why do they sort of stop breaking 398 00:19:52,320 --> 00:19:53,840 Speaker 2: down at the microplastic level. 399 00:19:54,080 --> 00:19:56,159 Speaker 1: Well, I feel like that's a chemistry question, So I'm 400 00:19:56,160 --> 00:20:04,280 Speaker 1: a little angry, but I'm kidding, But I think what's 401 00:20:04,320 --> 00:20:06,600 Speaker 1: happening is that, like, you know, if you've got and 402 00:20:06,680 --> 00:20:09,320 Speaker 1: I am joking, but you've got like a big piece 403 00:20:09,400 --> 00:20:10,000 Speaker 1: of plastic. 404 00:20:10,240 --> 00:20:11,960 Speaker 2: I just like how you said, I'm angry, but you 405 00:20:11,960 --> 00:20:12,760 Speaker 2: said it with a smile. 406 00:20:14,000 --> 00:20:18,119 Speaker 1: I'm hard to read too, so so you know, So 407 00:20:18,240 --> 00:20:20,240 Speaker 1: imagine you've got like a plastic bag floating on the 408 00:20:20,240 --> 00:20:23,280 Speaker 1: surface of the ocean. It's getting hit by UV radiation 409 00:20:23,359 --> 00:20:25,119 Speaker 1: and that's starting to like break some of the bonds 410 00:20:25,119 --> 00:20:28,760 Speaker 1: and break it into small parts. Those tiny pieces eventually 411 00:20:28,760 --> 00:20:30,560 Speaker 1: get so small that they sort of break away from 412 00:20:30,560 --> 00:20:32,240 Speaker 1: the rest of the bag and they start to sink. 413 00:20:32,840 --> 00:20:35,280 Speaker 1: And as they sink, they sort of end up out 414 00:20:35,320 --> 00:20:37,560 Speaker 1: of the reach of UV radiation, and they end up 415 00:20:37,600 --> 00:20:39,840 Speaker 1: in the sediment, or they can end up in the soil, 416 00:20:39,960 --> 00:20:41,800 Speaker 1: or they end up in the gut of something else. 417 00:20:42,200 --> 00:20:44,520 Speaker 1: And in some cases they probably do keep breaking down. 418 00:20:44,560 --> 00:20:47,000 Speaker 1: Like it's possible that our stomach acid breaks them down 419 00:20:47,040 --> 00:20:49,760 Speaker 1: a little bit. But I think in general plastics, part 420 00:20:49,760 --> 00:20:52,080 Speaker 1: of why they're so useful is because they are sturdy, 421 00:20:52,119 --> 00:20:54,159 Speaker 1: and it takes a lot to break them down. And 422 00:20:54,200 --> 00:20:58,480 Speaker 1: so maybe in a million years, of five millimeter fiber 423 00:20:58,720 --> 00:21:02,560 Speaker 1: plastic piece will disintegrate into its like atomic pieces. But 424 00:21:02,640 --> 00:21:03,560 Speaker 1: it's going to take a while. 425 00:21:03,760 --> 00:21:06,680 Speaker 2: I see. I'm always amazed at the power of UV radiation. 426 00:21:07,280 --> 00:21:09,639 Speaker 2: You know, in my house, if you burn something on 427 00:21:09,720 --> 00:21:12,000 Speaker 2: a pan so you can't scrub it clean, you just 428 00:21:12,040 --> 00:21:14,199 Speaker 2: put it outside for like a week, oh and the 429 00:21:14,240 --> 00:21:17,639 Speaker 2: sun will break it up. It's amazing what UV radiation 430 00:21:17,720 --> 00:21:19,680 Speaker 2: will do. Thank you, Southern California. 431 00:21:20,080 --> 00:21:22,280 Speaker 1: Wait, wait, what is your Okay, what does your backyard 432 00:21:22,320 --> 00:21:25,800 Speaker 1: look like? And how many animals have you attracted by 433 00:21:25,800 --> 00:21:27,880 Speaker 1: doing that? Because I live in a place where animals 434 00:21:27,920 --> 00:21:30,119 Speaker 1: want to be and they'd be licking those plates and 435 00:21:30,160 --> 00:21:30,800 Speaker 1: it would be gross. 436 00:21:31,000 --> 00:21:33,560 Speaker 2: That's fine, that's helpful. You know, some squirrel wants to 437 00:21:33,640 --> 00:21:36,600 Speaker 2: use their you know, long teeth on that thing scrape 438 00:21:36,640 --> 00:21:38,640 Speaker 2: some of that burnt oatmeal off the pan, like, please 439 00:21:38,680 --> 00:21:39,480 Speaker 2: help us out. 440 00:21:39,280 --> 00:21:43,880 Speaker 1: Man, all right, all right, some rabbit raccoon wants to Okay. 441 00:21:43,640 --> 00:21:46,120 Speaker 2: All right, So we have plastics everywhere? How long has 442 00:21:46,119 --> 00:21:48,760 Speaker 2: this sort of been something we've known about, Like plastics 443 00:21:48,800 --> 00:21:51,720 Speaker 2: came about in large quantities like fifty seventy years ago. 444 00:21:52,160 --> 00:21:54,399 Speaker 2: Was it very soon after that that we discovered that 445 00:21:54,440 --> 00:21:55,240 Speaker 2: they were everywhere? 446 00:21:55,320 --> 00:21:58,080 Speaker 1: I mean, I think when plastics started to go mainstream. 447 00:21:58,480 --> 00:22:01,960 Speaker 1: It was, you know, easy to say plastics rolling down 448 00:22:01,960 --> 00:22:03,760 Speaker 1: the street on a windy day or something like. I 449 00:22:03,760 --> 00:22:08,159 Speaker 1: think we've been aware of macroplastics as as a problem 450 00:22:08,200 --> 00:22:10,280 Speaker 1: for a long time. We're not very good at disposing 451 00:22:10,280 --> 00:22:12,720 Speaker 1: of them. They tend to end up in the oceans, 452 00:22:13,080 --> 00:22:15,440 Speaker 1: they tend to end up in animals. So we've known 453 00:22:15,480 --> 00:22:17,119 Speaker 1: that's been a problem for a while. And it probably 454 00:22:17,119 --> 00:22:20,000 Speaker 1: didn't surprise anyone when we first started talking about the 455 00:22:20,000 --> 00:22:22,760 Speaker 1: fact that it breaks down into tiny pieces. But the 456 00:22:22,800 --> 00:22:25,800 Speaker 1: first time of tension was really brought to this issue 457 00:22:25,840 --> 00:22:29,119 Speaker 1: was when a marine ecologist named Richard Thompson wrote a 458 00:22:29,160 --> 00:22:33,120 Speaker 1: paper about how he was collecting samples of sediment from 459 00:22:33,240 --> 00:22:37,119 Speaker 1: beaches and estuaries and the subtitle zone in the United Kingdom, 460 00:22:37,440 --> 00:22:40,480 Speaker 1: and he found microplastics in all of those places. And 461 00:22:40,520 --> 00:22:43,200 Speaker 1: he looked at plankton samples, so these are like tiny 462 00:22:43,240 --> 00:22:45,520 Speaker 1: little samples from the water column. And he looked at 463 00:22:45,520 --> 00:22:48,040 Speaker 1: samples from the nineteen sixties and then at various dates 464 00:22:48,040 --> 00:22:52,040 Speaker 1: getting closer to the present, and he found microplastics back 465 00:22:52,080 --> 00:22:54,400 Speaker 1: from the nineteen sixties. But he also found that they 466 00:22:54,400 --> 00:22:57,400 Speaker 1: were increasing over time and that even you could find 467 00:22:57,440 --> 00:22:59,679 Speaker 1: them inside of the bodies of little invertebrates that live 468 00:22:59,720 --> 00:23:02,760 Speaker 1: in the world, and so he noted that we don't 469 00:23:02,800 --> 00:23:05,600 Speaker 1: know the environmental consequences of having this stuff in the water, 470 00:23:05,680 --> 00:23:08,119 Speaker 1: but it's in the water. This problem is getting worse, 471 00:23:09,000 --> 00:23:11,280 Speaker 1: but it still took about a decade before people started 472 00:23:11,480 --> 00:23:14,680 Speaker 1: really digging in and particularly thinking about the impacts on 473 00:23:14,760 --> 00:23:15,320 Speaker 1: human health. 474 00:23:15,600 --> 00:23:19,600 Speaker 2: I love this example of digging through past samples collected 475 00:23:19,640 --> 00:23:24,119 Speaker 2: for completely separate reasons and finding evidence or answers to 476 00:23:24,160 --> 00:23:26,760 Speaker 2: a question you have later on. This is why you 477 00:23:26,800 --> 00:23:28,960 Speaker 2: should always keep all of your samples and all of 478 00:23:28,960 --> 00:23:30,879 Speaker 2: your notes, because who knows how it's going to be 479 00:23:30,960 --> 00:23:33,240 Speaker 2: useful later. This is incredible. I love that. 480 00:23:33,520 --> 00:23:35,800 Speaker 1: This is why museums are so important, because they do 481 00:23:35,840 --> 00:23:38,040 Speaker 1: they keep those samples for you, and they're in a 482 00:23:38,119 --> 00:23:41,639 Speaker 1: location where anybody can request them. So somebody, and you know, Peru, 483 00:23:41,760 --> 00:23:44,359 Speaker 1: can think of a question that requires American water samples 484 00:23:44,400 --> 00:23:46,520 Speaker 1: from the nineteen sixties or something, and if a museum 485 00:23:46,520 --> 00:23:49,520 Speaker 1: has them, they can get those data. So anyway, yay 486 00:23:49,720 --> 00:23:52,560 Speaker 1: for archiving, material behavior. 487 00:23:52,200 --> 00:23:55,640 Speaker 2: Record keeping exactly all right. So it sort of came 488 00:23:55,680 --> 00:23:57,960 Speaker 2: to the fore in the early two thousands, and then 489 00:23:58,000 --> 00:23:59,879 Speaker 2: has the field sort of exploded in research. 490 00:24:00,240 --> 00:24:02,520 Speaker 1: Yeah, the last ten to fifteen years, we've become a 491 00:24:02,560 --> 00:24:05,480 Speaker 1: lot more interested in what it's doing in freshwater systems, 492 00:24:05,480 --> 00:24:08,000 Speaker 1: what it's doing in oceans, what it's doing in our bodies. 493 00:24:08,359 --> 00:24:10,040 Speaker 1: And let's take a break, and when we get back 494 00:24:10,040 --> 00:24:32,240 Speaker 1: from the break, we'll start digging into that stuff. All right, 495 00:24:32,280 --> 00:24:36,960 Speaker 1: So we have already established that microplastics are like everywhere, 496 00:24:37,200 --> 00:24:40,480 Speaker 1: they're kind of unavoidable, and so let's start digging into 497 00:24:40,840 --> 00:24:42,639 Speaker 1: you know, whether or not we need to worry about that. 498 00:24:43,119 --> 00:24:45,520 Speaker 1: So one thing that you maybe need to worry about 499 00:24:45,560 --> 00:24:48,960 Speaker 1: a little bit is that they bioaccumulate. So you might 500 00:24:48,960 --> 00:24:52,080 Speaker 1: have heard this word from you know, Rachel Carson's book 501 00:24:52,160 --> 00:24:55,600 Speaker 1: Silent Spring about DDT and how as you move up 502 00:24:55,800 --> 00:24:59,720 Speaker 1: the food chain you get more and more concentrated levels 503 00:24:59,760 --> 00:25:04,280 Speaker 1: of the chemicals. And so an example for microplastics is 504 00:25:04,320 --> 00:25:07,720 Speaker 1: that there was a study looking at the soil in 505 00:25:07,800 --> 00:25:12,200 Speaker 1: Mexico and they found that microplastics were a bit less 506 00:25:12,240 --> 00:25:15,080 Speaker 1: than one particle typically in each gram, But if you 507 00:25:15,119 --> 00:25:19,840 Speaker 1: pulled an earthworm out per gram of earthworm, you would 508 00:25:19,840 --> 00:25:23,080 Speaker 1: find almost fifteen particles. So the earthworms were going through 509 00:25:23,119 --> 00:25:27,120 Speaker 1: the soil and as they would ingest a piece of microplastic, 510 00:25:27,200 --> 00:25:29,640 Speaker 1: it was like staying in them. And then they looked 511 00:25:29,640 --> 00:25:32,639 Speaker 1: at chickens that were eating the earthworms, and there were 512 00:25:32,640 --> 00:25:35,800 Speaker 1: one hundred and thirty particles per gram of chicken feces 513 00:25:35,800 --> 00:25:38,000 Speaker 1: because you know, chickens were eating those. And so as 514 00:25:38,040 --> 00:25:40,719 Speaker 1: you go up the food chain for the same like mass, 515 00:25:40,720 --> 00:25:42,720 Speaker 1: you're finding more and more of these particles. 516 00:25:42,840 --> 00:25:45,600 Speaker 2: So why do the earthworms accumulate them? Is it because 517 00:25:45,600 --> 00:25:48,040 Speaker 2: they get filtered out of the soil and they stay 518 00:25:48,119 --> 00:25:51,080 Speaker 2: in the earthworms Like there's something inside the earthworm that's 519 00:25:51,080 --> 00:25:52,399 Speaker 2: like accumulating these things. 520 00:25:52,560 --> 00:25:55,520 Speaker 1: So if you were to take a snapshot of what's 521 00:25:55,560 --> 00:25:58,040 Speaker 1: inside of that earthworm, over like a year of an 522 00:25:58,080 --> 00:26:00,360 Speaker 1: earthworm's life, and I don't know how long earth works live, 523 00:26:00,400 --> 00:26:02,560 Speaker 1: it might not be a year, but like there might 524 00:26:02,640 --> 00:26:05,240 Speaker 1: be a lot of particles that they ingested but they 525 00:26:05,280 --> 00:26:09,240 Speaker 1: pooped out. But because they're going through so much soil, 526 00:26:09,400 --> 00:26:11,920 Speaker 1: if you take a snapshot, they might have about fifteen 527 00:26:11,960 --> 00:26:15,040 Speaker 1: particles per gram of earthworm because they're just moving through 528 00:26:15,080 --> 00:26:18,280 Speaker 1: tons of soil and just sort of accumulating it as 529 00:26:18,280 --> 00:26:18,480 Speaker 1: they go. 530 00:26:18,760 --> 00:26:21,120 Speaker 2: But in order to accumulate it, they have to eat 531 00:26:21,160 --> 00:26:25,360 Speaker 2: more than they poop, so they preferentially don't poop out microplastics, right, 532 00:26:25,400 --> 00:26:28,439 Speaker 2: Otherwise they would have the same density as the soil. 533 00:26:29,119 --> 00:26:31,240 Speaker 2: Like if you just pass a tube through the soil, 534 00:26:31,320 --> 00:26:34,280 Speaker 2: it's going to have exactly the same density as the 535 00:26:34,359 --> 00:26:37,640 Speaker 2: soil unless there's some filter in there that's like accumulating 536 00:26:37,680 --> 00:26:40,520 Speaker 2: the microplastics or preferentially not pooping them out. 537 00:26:40,560 --> 00:26:40,760 Speaker 3: Right. 538 00:26:40,960 --> 00:26:43,560 Speaker 1: Yep, Yeah, that's a great point. You're right, they're accumulating them. 539 00:26:43,600 --> 00:26:45,240 Speaker 1: They might poop some of them out, but in general 540 00:26:45,240 --> 00:26:46,520 Speaker 1: they tend to be accumulating them. 541 00:26:46,640 --> 00:26:49,159 Speaker 2: Yeah. Interesting, And so then the chickens eat those and 542 00:26:49,200 --> 00:26:53,320 Speaker 2: then it gets more concentrated, and eventually when you're eating chicken, 543 00:26:53,400 --> 00:26:54,400 Speaker 2: it's like half plastic. 544 00:26:54,560 --> 00:26:57,600 Speaker 1: Yeah, not necessarily half plastic, but there's a fair bit 545 00:26:57,640 --> 00:27:00,159 Speaker 1: of plastic in there. But one thing that's important in 546 00:27:00,240 --> 00:27:04,800 Speaker 1: mind is that not all plastic matters the same from 547 00:27:04,840 --> 00:27:07,320 Speaker 1: a standpoint of ingesting it. So you can get plastics 548 00:27:07,320 --> 00:27:10,000 Speaker 1: in your body either by inhaling it because a lot 549 00:27:10,040 --> 00:27:14,000 Speaker 1: of it goes airborne, or by ingesting it, and our 550 00:27:14,040 --> 00:27:17,159 Speaker 1: bodies will defecate and urinate out a lot of the 551 00:27:17,200 --> 00:27:20,320 Speaker 1: plastics that we consume, and if you breathe it in 552 00:27:20,640 --> 00:27:25,159 Speaker 1: are what is it called our mucociliary elevator or something 553 00:27:25,200 --> 00:27:28,880 Speaker 1: basically like we will like hawk it up. And actually 554 00:27:28,880 --> 00:27:31,399 Speaker 1: maybe Matt wants to remove that sound effect. 555 00:27:31,680 --> 00:27:33,919 Speaker 2: I don't think no, I think you should keep that. 556 00:27:34,200 --> 00:27:36,080 Speaker 2: And I just wish that the audience could see the 557 00:27:36,119 --> 00:27:40,200 Speaker 2: face you made. 558 00:27:40,600 --> 00:27:43,600 Speaker 1: I was pretty expressive there. But so you know, you 559 00:27:43,680 --> 00:27:45,120 Speaker 1: cough it up and then you can spit it out 560 00:27:45,240 --> 00:27:46,560 Speaker 1: or swallow it and then it'll end up in your 561 00:27:46,560 --> 00:27:48,679 Speaker 1: feces and anyway, all very gross. But our body has 562 00:27:48,720 --> 00:27:50,359 Speaker 1: ways of getting rid of a lot of this stuff. 563 00:27:50,640 --> 00:27:54,639 Speaker 1: But if you've got nanoplastics that are small enough, they 564 00:27:54,680 --> 00:27:57,760 Speaker 1: can pass across our alveoli, which is a point in 565 00:27:57,800 --> 00:28:00,560 Speaker 1: our lungs where our lungs are sort of in facing 566 00:28:00,560 --> 00:28:03,240 Speaker 1: with our blood, and they can get into our bloodstream, 567 00:28:03,720 --> 00:28:05,919 Speaker 1: or sometimes they can move across our gut into the 568 00:28:05,920 --> 00:28:08,359 Speaker 1: rest of the body. So very small pieces can end 569 00:28:08,440 --> 00:28:10,320 Speaker 1: up in other parts of the body where they're not 570 00:28:10,400 --> 00:28:12,280 Speaker 1: going to get removed, or they're much less likely to 571 00:28:12,320 --> 00:28:12,880 Speaker 1: get removed. 572 00:28:13,000 --> 00:28:14,720 Speaker 2: And I've heard it said that we eat like a 573 00:28:14,800 --> 00:28:17,679 Speaker 2: credit cards worth or a bottle cap worth of plastics 574 00:28:17,720 --> 00:28:20,720 Speaker 2: every year or every week or whatever. Is that true, 575 00:28:20,960 --> 00:28:22,560 Speaker 2: or is that people overworrying. 576 00:28:23,160 --> 00:28:25,920 Speaker 1: There was a study that came up with that figure 577 00:28:26,000 --> 00:28:29,680 Speaker 1: and that went like global, just like microplastics, it ended 578 00:28:29,760 --> 00:28:33,119 Speaker 1: up everywhere. But there was another study that looked at 579 00:28:33,160 --> 00:28:36,800 Speaker 1: the numbers a little more critically and they ended up 580 00:28:36,840 --> 00:28:40,800 Speaker 1: deciding something like you would require twenty three thousand years 581 00:28:40,920 --> 00:28:43,040 Speaker 1: or something like that to acquire the amount of plastic 582 00:28:43,120 --> 00:28:46,440 Speaker 1: that that paper was estimating. And so that I think 583 00:28:46,480 --> 00:28:48,840 Speaker 1: what most of us have heard about plastic getting in 584 00:28:48,880 --> 00:28:54,120 Speaker 1: our body is pretty overblown. But that said, they have 585 00:28:54,320 --> 00:28:59,040 Speaker 1: found plastic in human brains. So this was they did autopsies, 586 00:28:59,080 --> 00:29:01,520 Speaker 1: so somebody had already paid away and they looked through 587 00:29:01,560 --> 00:29:04,240 Speaker 1: the brain to look for plastics and they found it. 588 00:29:04,320 --> 00:29:08,120 Speaker 1: Plastics have been found in plaques in our arteries, so 589 00:29:08,160 --> 00:29:10,320 Speaker 1: when your arteries are getting clogged, there's some little pieces 590 00:29:10,360 --> 00:29:11,040 Speaker 1: of plastic in there. 591 00:29:11,080 --> 00:29:11,280 Speaker 2: Two. 592 00:29:11,920 --> 00:29:15,840 Speaker 1: It has been found in testicles, kidneys, livers, like anywhere 593 00:29:15,880 --> 00:29:20,120 Speaker 1: you can imagine, maybe not wanting plastic to be, plastic 594 00:29:20,200 --> 00:29:24,120 Speaker 1: is there. And we found plastic in maconium. Daniel, do 595 00:29:24,160 --> 00:29:26,120 Speaker 1: you remember, I mean I probably said it wrong, let's 596 00:29:26,160 --> 00:29:28,360 Speaker 1: just be clear, but do you remember what maconium is? 597 00:29:28,520 --> 00:29:30,240 Speaker 1: This is a word I only needed to know the 598 00:29:30,280 --> 00:29:32,040 Speaker 1: definition of once or twice in my life. 599 00:29:32,240 --> 00:29:36,080 Speaker 2: Oh, it sounds familiar. It sounds like mucus. Is it 600 00:29:36,440 --> 00:29:38,120 Speaker 2: something gross inside the body? 601 00:29:38,360 --> 00:29:39,880 Speaker 1: It's your baby's first poop? 602 00:29:40,160 --> 00:29:43,840 Speaker 2: Oh, of course, yes, of course, mconium. I remember that. 603 00:29:43,920 --> 00:29:45,160 Speaker 2: Now it's weird looking. 604 00:29:45,200 --> 00:29:47,480 Speaker 1: Yeah, yeah, yes, it's weird looking, and it has plastic 605 00:29:47,480 --> 00:29:52,560 Speaker 1: in it, and so that means it's probably microplastics or nanoplastics. 606 00:29:52,560 --> 00:29:55,760 Speaker 1: Probably nanoplastics are passing from mom to the fetus, and 607 00:29:55,800 --> 00:29:59,000 Speaker 1: the fetus is already, you know, defecating them out pretty soon. 608 00:29:59,240 --> 00:30:01,960 Speaker 1: So we start our life with these microplastics with us. 609 00:30:02,520 --> 00:30:06,320 Speaker 2: And we talked recently about water filtration systems and these 610 00:30:06,400 --> 00:30:10,360 Speaker 2: amazing processes that clean up our water. Are microplastics too 611 00:30:10,400 --> 00:30:11,720 Speaker 2: small to be filtered out? 612 00:30:12,120 --> 00:30:13,360 Speaker 1: No? 613 00:30:13,080 --> 00:30:13,520 Speaker 3: Not so. 614 00:30:13,640 --> 00:30:17,320 Speaker 1: About ninety five percent of the microplastics that go into 615 00:30:17,760 --> 00:30:22,000 Speaker 1: the wastewater treatment plant are removed through the various processes. 616 00:30:22,560 --> 00:30:26,320 Speaker 1: There's a lot of microfibers that go to wastewater treatment 617 00:30:26,360 --> 00:30:29,160 Speaker 1: plants because a bunch of the wastewater that goes to 618 00:30:29,160 --> 00:30:32,400 Speaker 1: those treatment plants is from when we wash our laundry 619 00:30:33,320 --> 00:30:35,920 Speaker 1: or from like our shampoos and body washes. And stuff, 620 00:30:35,960 --> 00:30:39,000 Speaker 1: and our clothes every time we wash them are shedding 621 00:30:39,520 --> 00:30:42,720 Speaker 1: loads of microplastics, and so lots of stuff gets to 622 00:30:42,760 --> 00:30:45,480 Speaker 1: the wastewater treatment plants. About ninety five percent of it 623 00:30:45,520 --> 00:30:48,600 Speaker 1: gets removed. Sometimes the sludge that gets collected at some 624 00:30:48,640 --> 00:30:51,080 Speaker 1: of these plants will get used for other purposes, like 625 00:30:51,120 --> 00:30:53,880 Speaker 1: as a fertilizer, and in that case the microplastics could 626 00:30:53,880 --> 00:30:56,160 Speaker 1: get back into the environment. But if they're just put 627 00:30:56,160 --> 00:30:58,240 Speaker 1: in a landfill, they're probably going to be fine. But 628 00:30:58,320 --> 00:31:01,080 Speaker 1: a lot of them do still get through these wastewater 629 00:31:01,120 --> 00:31:03,920 Speaker 1: treatment plants, and there were some data from twenty fourteen 630 00:31:03,960 --> 00:31:06,560 Speaker 1: to twenty sixteen that estimated that something like eight to 631 00:31:06,680 --> 00:31:11,400 Speaker 1: thirteen billion pieces of microbeads were being released from treatment 632 00:31:11,440 --> 00:31:15,240 Speaker 1: plants into freshwater systems every day. And we're trying to 633 00:31:15,320 --> 00:31:18,000 Speaker 1: use fewer microbeads, but there's still a bunch of these 634 00:31:18,000 --> 00:31:21,600 Speaker 1: getting into our freshwater systems. But they also get into 635 00:31:21,680 --> 00:31:26,200 Speaker 1: freshwater systems or our oceans through other routes. For example, 636 00:31:26,360 --> 00:31:30,240 Speaker 1: a huge source of plastic is our tires, and so 637 00:31:30,360 --> 00:31:33,000 Speaker 1: when we drive, we're wearing some of the plastic off 638 00:31:33,000 --> 00:31:35,000 Speaker 1: of those tires, and that ends up either in the 639 00:31:35,040 --> 00:31:36,720 Speaker 1: air or sometimes it ends up on the side of 640 00:31:36,720 --> 00:31:39,080 Speaker 1: the road, and then the next time it rains, it 641 00:31:39,160 --> 00:31:41,560 Speaker 1: takes those little pieces of plastic into our rivers and 642 00:31:41,560 --> 00:31:43,720 Speaker 1: our lakes, and then in some cases it brings it 643 00:31:43,760 --> 00:31:46,720 Speaker 1: to our oceans. And so yeah, those are some major 644 00:31:46,800 --> 00:31:49,280 Speaker 1: sources of plastic into our aquatic systems. 645 00:31:49,960 --> 00:31:52,920 Speaker 2: And so it's everywhere, and we found in our bodies, 646 00:31:53,080 --> 00:31:57,320 Speaker 2: including our brains and all the other important bits. Why 647 00:31:57,440 --> 00:31:59,320 Speaker 2: is this an issue or is it an issue or 648 00:31:59,360 --> 00:32:01,680 Speaker 2: why might it be an issue for our health? 649 00:32:02,000 --> 00:32:05,600 Speaker 1: Yeah, so we're not super clear on it. First all, 650 00:32:05,640 --> 00:32:08,000 Speaker 1: I want to say that we've done some experiments on fish, 651 00:32:08,120 --> 00:32:10,719 Speaker 1: and the fish seem to get kind of messed up. 652 00:32:10,760 --> 00:32:12,400 Speaker 1: So fish end up, you know, they eat the little 653 00:32:12,400 --> 00:32:16,600 Speaker 1: invertebrates that eat the microplastics, and then they accumulate it 654 00:32:16,600 --> 00:32:19,360 Speaker 1: in their own body. And we found that microplastics can 655 00:32:19,480 --> 00:32:22,440 Speaker 1: mess with things like how the fish move, It can 656 00:32:22,520 --> 00:32:25,320 Speaker 1: damage their intestines. I think in some cases we found 657 00:32:25,360 --> 00:32:28,040 Speaker 1: that it reduces their growth, and it seems to reduce 658 00:32:28,080 --> 00:32:30,320 Speaker 1: their growth because it essentially like takes up space in 659 00:32:30,360 --> 00:32:33,840 Speaker 1: their gut and they like feel like they've eaten, but 660 00:32:33,920 --> 00:32:37,120 Speaker 1: they haven't eaten anything that's nutritious and so you know, 661 00:32:37,160 --> 00:32:39,560 Speaker 1: they lose weight and that can impact their reproduction and 662 00:32:39,560 --> 00:32:41,440 Speaker 1: stuff like that. So we know that there are some 663 00:32:41,480 --> 00:32:43,800 Speaker 1: examples where it's been a problem in fish, but fish 664 00:32:44,160 --> 00:32:47,280 Speaker 1: are swimming in this environment with loads of microplastics, so 665 00:32:47,320 --> 00:32:48,680 Speaker 1: that might not tell us what we need to know 666 00:32:48,720 --> 00:32:52,640 Speaker 1: about people. So here are some of the top issues 667 00:32:52,680 --> 00:32:55,960 Speaker 1: that we worry about for microplastics. One of the main 668 00:32:56,000 --> 00:32:59,680 Speaker 1: issues that we worry about is that these microplastics tend 669 00:32:59,840 --> 00:33:05,080 Speaker 1: to to attract and stick to other stuff in the environment. So, 670 00:33:05,280 --> 00:33:09,640 Speaker 1: for example, they stick to heavy metals PCBs, which are 671 00:33:09,640 --> 00:33:14,040 Speaker 1: polychlorinated by phenols and some other kinds of toxic material, 672 00:33:14,240 --> 00:33:17,840 Speaker 1: and they get what's called sorbed by the plastic. 673 00:33:18,840 --> 00:33:21,080 Speaker 2: Absorbed, not absorbed, just sorbed. 674 00:33:22,000 --> 00:33:23,000 Speaker 1: I think it's sorbed. 675 00:33:23,280 --> 00:33:25,000 Speaker 2: Is that what the kids are saying these days? 676 00:33:25,040 --> 00:33:27,600 Speaker 1: Wow, that's what the science kids are saying these days. 677 00:33:27,640 --> 00:33:32,200 Speaker 1: Very generous to call us kids. But so they pick 678 00:33:32,280 --> 00:33:35,200 Speaker 1: up these toxic compounds and then when they get into 679 00:33:35,320 --> 00:33:39,680 Speaker 1: your body, they could release those toxic compounds. And so 680 00:33:40,120 --> 00:33:42,239 Speaker 1: while a piece of plastic on its own might not 681 00:33:42,360 --> 00:33:45,800 Speaker 1: cause a problem, if it's bringing, for example, mercury into 682 00:33:45,840 --> 00:33:49,040 Speaker 1: your body and then depositing the mercury. The mercury could 683 00:33:49,040 --> 00:33:50,720 Speaker 1: be the problem. Does that make sense? 684 00:33:50,880 --> 00:33:52,120 Speaker 2: Yeah, absolutely it does. 685 00:33:52,640 --> 00:33:52,840 Speaker 3: Yeah. 686 00:33:53,000 --> 00:33:56,480 Speaker 1: Other things that tend to stick to these fibers include bacteria, 687 00:33:56,960 --> 00:34:00,320 Speaker 1: and there's some concern that the way bacteria aggregate, they 688 00:34:00,360 --> 00:34:02,920 Speaker 1: form like biofilms where maybe they could be sharing like 689 00:34:02,960 --> 00:34:06,160 Speaker 1: antibiotic resistant genes or something. This sounded a little bit 690 00:34:06,200 --> 00:34:09,439 Speaker 1: more speculative from what I could tell. But bacteria stick 691 00:34:09,480 --> 00:34:12,160 Speaker 1: to them, and so do viruses, and so these pieces 692 00:34:12,160 --> 00:34:14,719 Speaker 1: of plastic could be ways that bacteria and virus make 693 00:34:14,760 --> 00:34:15,640 Speaker 1: it into your body. 694 00:34:15,800 --> 00:34:19,239 Speaker 2: So basically they're dirty, they're not just weird and artificial 695 00:34:19,360 --> 00:34:20,760 Speaker 2: and everywhere they're dirty. 696 00:34:21,160 --> 00:34:24,239 Speaker 1: They are. But this also contributes to why they're so 697 00:34:24,360 --> 00:34:27,840 Speaker 1: hard to study, right, because whether or not plastic is 698 00:34:27,920 --> 00:34:30,040 Speaker 1: bad for you is going to depend on what the 699 00:34:30,080 --> 00:34:32,920 Speaker 1: plastics saw before it went to you. So like the 700 00:34:32,960 --> 00:34:36,160 Speaker 1: same kind of plastic and an environment with no mercury 701 00:34:36,239 --> 00:34:38,480 Speaker 1: might do nothing, but the same kind of plastic in 702 00:34:38,520 --> 00:34:40,359 Speaker 1: an environment where it can pick up mercury and then 703 00:34:40,400 --> 00:34:42,600 Speaker 1: get to you could cause a lot of trouble. 704 00:34:42,719 --> 00:34:45,240 Speaker 2: Yeah, exactly, And these things must be easier to study 705 00:34:45,280 --> 00:34:47,760 Speaker 2: in the lab. And then that doesn't really answer questions 706 00:34:47,800 --> 00:34:50,319 Speaker 2: about what happens in reality where most of us live. 707 00:34:50,800 --> 00:34:54,600 Speaker 1: Amen, Yes, it gets super complicated. So then another thing 708 00:34:54,719 --> 00:34:57,920 Speaker 1: that makes it all complicated is that added to the 709 00:34:57,960 --> 00:35:02,160 Speaker 1: plastic are chemicals that help you, for example, make plastic 710 00:35:02,200 --> 00:35:04,799 Speaker 1: that are soft and are like easier to move. So 711 00:35:04,840 --> 00:35:07,399 Speaker 1: for example, if you think of your water bottles, that's 712 00:35:07,440 --> 00:35:09,960 Speaker 1: you can squeeze those, it bends a little bit. But 713 00:35:10,000 --> 00:35:12,920 Speaker 1: then there's other chemicals that make plastics stiffer and harder. 714 00:35:12,960 --> 00:35:15,640 Speaker 1: So for example, if you have a Nalgene bottle, when 715 00:35:15,640 --> 00:35:18,319 Speaker 1: you squeeze that, it doesn't have much give. And so 716 00:35:18,640 --> 00:35:21,240 Speaker 1: these chemicals that we add to the plastic can also 717 00:35:21,360 --> 00:35:24,920 Speaker 1: cause problems in addition to the plastic. So for example, 718 00:35:25,400 --> 00:35:35,560 Speaker 1: there's a class of chemicals called thalates. What it's pH thh. 719 00:35:34,840 --> 00:35:37,400 Speaker 2: What pH that's not allowed? 720 00:35:37,680 --> 00:35:40,360 Speaker 1: No, not in the English language. It shouldn't be. But 721 00:35:40,640 --> 00:35:43,560 Speaker 1: so I'm just gonna thallates. I'm just gonna call I'm 722 00:35:43,560 --> 00:35:46,640 Speaker 1: gonna pretend to the p is silent. The pH is silent. 723 00:35:47,440 --> 00:35:50,200 Speaker 1: And these tend to be used to soften plastics, and 724 00:35:50,400 --> 00:35:52,880 Speaker 1: they're pretty common in our bodies. So there was a 725 00:35:52,880 --> 00:35:55,480 Speaker 1: survey done in eight to ten out of the baby's 726 00:35:55,520 --> 00:35:58,920 Speaker 1: surveyed had thollates in their body, and nearly all of 727 00:35:58,920 --> 00:36:01,520 Speaker 1: the adults that were surveyed it had them too. And 728 00:36:01,880 --> 00:36:06,239 Speaker 1: this chemical is associated with reduced sperm count and motility. 729 00:36:06,400 --> 00:36:08,680 Speaker 2: No, I know, I don't like that. That's not good. 730 00:36:08,800 --> 00:36:11,960 Speaker 1: No, But the results here are mixed. So like, if 731 00:36:12,000 --> 00:36:15,359 Speaker 1: you were making a million sperm and now you make 732 00:36:15,520 --> 00:36:19,400 Speaker 1: nine hundred and fifty thousand sperm, should you care? And 733 00:36:19,440 --> 00:36:21,160 Speaker 1: the answer is, maybe. 734 00:36:21,200 --> 00:36:23,719 Speaker 2: Those are fifty thousand of my boys we're talking about here. 735 00:36:23,840 --> 00:36:26,600 Speaker 1: You weren't gonna make use of all those boys anyway, Daniel. 736 00:36:28,480 --> 00:36:30,520 Speaker 1: So there was a study that was looking at like 737 00:36:30,840 --> 00:36:33,920 Speaker 1: people who had various amounts of exposure to this stuff 738 00:36:33,920 --> 00:36:36,840 Speaker 1: and how long it took for them and their partner 739 00:36:36,960 --> 00:36:38,799 Speaker 1: to get pregnant or you know, for the woman to 740 00:36:38,800 --> 00:36:42,560 Speaker 1: get pregnant. Yeah, And it looked like there wasn't necessarily 741 00:36:42,680 --> 00:36:45,800 Speaker 1: an association between exposure to a certain kind of thallate 742 00:36:46,200 --> 00:36:49,280 Speaker 1: and how long it took to get your partner pregnant. 743 00:36:49,320 --> 00:36:51,680 Speaker 1: And so the point is, maybe sperm counts are lower, 744 00:36:51,719 --> 00:36:56,239 Speaker 1: but that doesn't necessarily result in infertility issues all the time. 745 00:36:56,680 --> 00:36:59,959 Speaker 2: All right, But sperm counts I think are dropping anyway, right, 746 00:37:00,120 --> 00:37:03,880 Speaker 2: and we've been talking about how there's fertility issues already, 747 00:37:03,920 --> 00:37:06,880 Speaker 2: so anything that pushes sperm counts lower is definitely not 748 00:37:06,920 --> 00:37:09,480 Speaker 2: going to be good for fertility, right. I think you're 749 00:37:09,560 --> 00:37:12,120 Speaker 2: arguing that this is a small effect, but still a 750 00:37:12,120 --> 00:37:15,800 Speaker 2: small effect on average can have some measurable impact on 751 00:37:15,840 --> 00:37:16,879 Speaker 2: the number of babies. 752 00:37:16,560 --> 00:37:19,600 Speaker 1: Born, right, Yes, And there are some communities who would 753 00:37:19,680 --> 00:37:22,760 Speaker 1: argue that a big part of the decline infertility could 754 00:37:22,760 --> 00:37:26,319 Speaker 1: be because of things like plastic related chemicals in our 755 00:37:26,400 --> 00:37:28,799 Speaker 1: water or whatever are being ingested with the food that 756 00:37:28,840 --> 00:37:31,120 Speaker 1: we eat, and so yeah, it could play a role, 757 00:37:31,160 --> 00:37:33,480 Speaker 1: and it could play a role in aggregate. Maybe it's 758 00:37:33,520 --> 00:37:37,640 Speaker 1: just playing a small role in that overall trend. There's 759 00:37:37,680 --> 00:37:40,120 Speaker 1: some work done in lab animals like mice that do 760 00:37:40,239 --> 00:37:45,480 Speaker 1: find definitely quantifiable impacts from exposure to thalites on the mice. 761 00:37:45,680 --> 00:37:49,520 Speaker 1: And so the question is if a mouse has infertility, 762 00:37:49,560 --> 00:37:52,000 Speaker 1: does that mean that a human's going to have infertility? 763 00:37:52,239 --> 00:37:55,719 Speaker 1: We don't necessarily know, And often animals in the lab 764 00:37:55,719 --> 00:37:58,399 Speaker 1: are exposed to much higher concentrations of the chemicals than 765 00:37:58,440 --> 00:38:01,120 Speaker 1: we are exposed to on a day to day basis, 766 00:38:01,160 --> 00:38:03,560 Speaker 1: for example, and so it's hard to know how to 767 00:38:03,600 --> 00:38:06,680 Speaker 1: tie those things together. But there is some risk that 768 00:38:06,760 --> 00:38:10,160 Speaker 1: these chemicals are having some impacts on fertility related issues. 769 00:38:10,719 --> 00:38:12,840 Speaker 1: But we don't really know how much we should be 770 00:38:12,880 --> 00:38:15,120 Speaker 1: worried about this happening for humans yet. 771 00:38:15,280 --> 00:38:17,840 Speaker 2: All right, So, Kelly's given us two reasons to worry 772 00:38:17,920 --> 00:38:21,320 Speaker 2: so far. They can trap stuff, they can be toxic chemicals. 773 00:38:21,320 --> 00:38:22,880 Speaker 2: When we come back from the break, we're going to 774 00:38:22,920 --> 00:38:26,600 Speaker 2: hear about more reasons to worry, including Daniel's number one 775 00:38:26,800 --> 00:38:49,960 Speaker 2: reason to worry about microplastics. Oh okay, we're back and 776 00:38:49,960 --> 00:38:52,440 Speaker 2: we're talking about all those little bits of plastic that 777 00:38:52,520 --> 00:38:55,799 Speaker 2: are everywhere in the earth and in you right now 778 00:38:55,960 --> 00:38:59,480 Speaker 2: swimming through your body? Are hundreds thousands? How many bits 779 00:38:59,480 --> 00:39:01,600 Speaker 2: of micropack are in each of our listeners? 780 00:39:01,640 --> 00:39:04,160 Speaker 1: Kelly, Oh I that would be very hard to quantify. 781 00:39:04,160 --> 00:39:05,960 Speaker 1: I don't know exactly how many pieces are in each 782 00:39:05,960 --> 00:39:06,279 Speaker 1: of us. 783 00:39:07,840 --> 00:39:10,160 Speaker 2: We want numbers. I want an individual list of numbers 784 00:39:10,200 --> 00:39:11,000 Speaker 2: for each listener. 785 00:39:11,040 --> 00:39:13,360 Speaker 1: Okay, well, give me a lot more money. And also 786 00:39:13,440 --> 00:39:15,280 Speaker 1: there's going to need to be a lot of slaughter 787 00:39:15,480 --> 00:39:18,440 Speaker 1: because to get those numbers usually requires an autopsy. So 788 00:39:19,080 --> 00:39:21,160 Speaker 1: let's just say we probably all have at least a 789 00:39:21,400 --> 00:39:24,960 Speaker 1: microplastic piece in us, and that's probably quite an underestimate. 790 00:39:24,520 --> 00:39:26,239 Speaker 2: All right, but it sounds like if you really want 791 00:39:26,280 --> 00:39:28,280 Speaker 2: to know, and you're willing to volunteer for an autopsy, 792 00:39:28,400 --> 00:39:32,640 Speaker 2: Kelly will give you a solid answer. Nope, that's a no. Okay, 793 00:39:32,840 --> 00:39:36,200 Speaker 2: that's a nope. Do not ship your body to Kelly 794 00:39:36,280 --> 00:39:38,600 Speaker 2: to get an answer to this question, turns out nope, 795 00:39:38,640 --> 00:39:39,640 Speaker 2: All right, nope. 796 00:39:39,920 --> 00:39:41,400 Speaker 1: Oh so you said you were going to tell us 797 00:39:41,400 --> 00:39:44,080 Speaker 1: your number one fear from microplastics, So go ahead, let's 798 00:39:44,080 --> 00:39:44,319 Speaker 1: hear that. 799 00:39:44,400 --> 00:39:46,920 Speaker 2: Yeah, Well, my number one reason to worry about microplastics 800 00:39:47,080 --> 00:39:51,200 Speaker 2: is we don't understand the body. It's a big, complicated system, 801 00:39:51,280 --> 00:39:53,160 Speaker 2: and there's lots of things that we do to it 802 00:39:53,200 --> 00:39:54,840 Speaker 2: all the time that we don't understand how it works. 803 00:39:54,960 --> 00:39:58,040 Speaker 2: Like I think thailan All still not fully understood. Why 804 00:39:58,040 --> 00:40:00,799 Speaker 2: does thilan All work, or why do all these sechoactive 805 00:40:00,800 --> 00:40:04,160 Speaker 2: medications work, And so there's just a lack of a 806 00:40:04,239 --> 00:40:06,680 Speaker 2: mechanistic understanding of how this is how the body works. 807 00:40:06,719 --> 00:40:08,879 Speaker 2: It seems to me like you just throw a bunch 808 00:40:08,880 --> 00:40:11,480 Speaker 2: of plastic in there. You can't predict what's going to happen, 809 00:40:11,920 --> 00:40:14,160 Speaker 2: and so many weird and terrible things are happening to 810 00:40:14,200 --> 00:40:17,000 Speaker 2: people all the time, it's hard to know like how 811 00:40:17,040 --> 00:40:19,840 Speaker 2: much of this is due to eating plastic or not 812 00:40:19,960 --> 00:40:22,720 Speaker 2: eating plastic. And so to me, the number one concern 813 00:40:22,840 --> 00:40:26,160 Speaker 2: is something we can't predict because the system is too complicated. 814 00:40:26,320 --> 00:40:29,120 Speaker 1: And I think that is absolutely spot on. Yeah, I 815 00:40:29,160 --> 00:40:31,480 Speaker 1: totally agree with you. And one point that I want 816 00:40:31,480 --> 00:40:33,320 Speaker 1: to go back to really quick. We were talking about 817 00:40:33,360 --> 00:40:36,480 Speaker 1: thalates and there are possible impacts on the human body. 818 00:40:36,680 --> 00:40:38,359 Speaker 1: I want to be clear that we do know that 819 00:40:38,400 --> 00:40:41,760 Speaker 1: at very high doses, at high exposure, these things definitely 820 00:40:41,760 --> 00:40:45,640 Speaker 1: are bad. So the question isn't thalates good or bad? 821 00:40:46,000 --> 00:40:52,000 Speaker 1: The question is thalates at very low concentrations are they 822 00:40:52,200 --> 00:40:54,520 Speaker 1: bad enough that we want to give up all of 823 00:40:54,520 --> 00:40:57,880 Speaker 1: the benefits we get by having thalates. And there's another 824 00:40:57,960 --> 00:41:01,080 Speaker 1: chemical that we have the same discs, and that chemical 825 00:41:01,480 --> 00:41:03,960 Speaker 1: is bis phenol a, And just like with thalites, we 826 00:41:03,960 --> 00:41:07,120 Speaker 1: don't totally understand whether we need to be worried about 827 00:41:07,160 --> 00:41:08,839 Speaker 1: it and how much we need to be worried about it. 828 00:41:09,080 --> 00:41:12,880 Speaker 1: But we know that this finyl a acts like estrogen 829 00:41:12,920 --> 00:41:15,360 Speaker 1: in the body. So in some cases it mimics estrogen, 830 00:41:15,440 --> 00:41:18,279 Speaker 1: making your body think there's more estrogen, and in other 831 00:41:18,360 --> 00:41:21,200 Speaker 1: cases it will like bind to receptor where estrogen should 832 00:41:21,280 --> 00:41:23,960 Speaker 1: be and now estrogen can't get to it, and so 833 00:41:24,000 --> 00:41:26,400 Speaker 1: your body should be getting a message from estrogen and 834 00:41:26,440 --> 00:41:27,640 Speaker 1: that message isn't going through. 835 00:41:27,880 --> 00:41:30,720 Speaker 2: And so this is a great example. People are like, BPA, 836 00:41:30,760 --> 00:41:33,560 Speaker 2: what could it do? It's probably fine. O turns out 837 00:41:33,640 --> 00:41:34,840 Speaker 2: maybe it's not fine. 838 00:41:35,200 --> 00:41:36,919 Speaker 1: Yeah, And there was a study that found that about 839 00:41:36,960 --> 00:41:39,360 Speaker 1: ninety three percent of people have BPA in their urine, 840 00:41:39,400 --> 00:41:41,160 Speaker 1: so just about all of us are exposed to it. 841 00:41:41,560 --> 00:41:43,800 Speaker 1: And for all of these chemicals, you might be most 842 00:41:43,880 --> 00:41:46,760 Speaker 1: worried if a fetus or a baby is being exposed 843 00:41:46,760 --> 00:41:49,880 Speaker 1: when like tons of development stuff is happening. And so 844 00:41:49,920 --> 00:41:51,840 Speaker 1: there were rules saying like, hey, look we need a 845 00:41:51,880 --> 00:41:55,840 Speaker 1: lot less bysfhinyl a in things like baby bodels because 846 00:41:55,880 --> 00:41:59,919 Speaker 1: we're worried about what tinkering with estrogen could do. There's 847 00:42:00,080 --> 00:42:03,719 Speaker 1: some evidence that it's associated with increased blood pressure, type 848 00:42:03,719 --> 00:42:07,640 Speaker 1: two diabetes, cardiovascular disease. Long down the road, it also 849 00:42:07,680 --> 00:42:10,800 Speaker 1: can impact the brain and the prostate gland of feces 850 00:42:10,840 --> 00:42:12,440 Speaker 1: and stuff. Lots of reasons to worry. 851 00:42:12,840 --> 00:42:15,120 Speaker 2: You said prostate gland of feces, but I think you 852 00:42:15,160 --> 00:42:15,840 Speaker 2: mean fetuses. 853 00:42:16,600 --> 00:42:17,840 Speaker 1: I did I feces. 854 00:42:19,760 --> 00:42:21,680 Speaker 2: You just got poop on the brain. I get it. 855 00:42:22,080 --> 00:42:25,080 Speaker 1: No I do, I do. Sorry, the brain and prostate 856 00:42:25,160 --> 00:42:30,200 Speaker 1: gland of fetuses not feces. Anyway, lots of reasons to worry. 857 00:42:30,239 --> 00:42:31,799 Speaker 1: So we tried to cut down on the use of 858 00:42:31,800 --> 00:42:35,160 Speaker 1: byspinyl a. But the problem is that this chemical is 859 00:42:35,239 --> 00:42:39,160 Speaker 1: really helpful for making plastics stiffer and harder, and so 860 00:42:39,440 --> 00:42:43,240 Speaker 1: we've replaced bisphinyla with something that has a very similar 861 00:42:43,280 --> 00:42:45,440 Speaker 1: shape because we want that same shape so that we 862 00:42:45,480 --> 00:42:48,319 Speaker 1: still get our nice hard plastics. So we've replaced it with, 863 00:42:48,440 --> 00:42:52,400 Speaker 1: for example, bisphinyl s, and we think that actually, maybe 864 00:42:52,440 --> 00:42:55,160 Speaker 1: this other thing does a lot of the same stuff 865 00:42:55,160 --> 00:42:57,439 Speaker 1: to our body that bisphinyla does. So when you see 866 00:42:57,440 --> 00:43:01,799 Speaker 1: a bottle that says doesn't contain BP, that doesn't mean 867 00:43:01,840 --> 00:43:06,759 Speaker 1: that it doesn't contain a very similar bisfunyl thing. So yeah, 868 00:43:06,800 --> 00:43:10,759 Speaker 1: it's hard to replace these things while still keeping the plastics. 869 00:43:11,000 --> 00:43:12,960 Speaker 1: We love doing the things that we love them to do. 870 00:43:13,400 --> 00:43:16,680 Speaker 2: I love those indications on food that make you feel like, oh, 871 00:43:16,719 --> 00:43:19,480 Speaker 2: it's healthy, Like when you look at jolly ranchers and 872 00:43:19,480 --> 00:43:21,759 Speaker 2: they say fat free and you're like, yeah, that's because 873 00:43:21,760 --> 00:43:25,040 Speaker 2: it's one hundred percent sugar. That's right, that's right, doesn't 874 00:43:25,040 --> 00:43:25,960 Speaker 2: make it a health food. 875 00:43:27,120 --> 00:43:29,480 Speaker 1: I like things that are like cholesterol free. I'm like, well, yeah, 876 00:43:29,480 --> 00:43:32,400 Speaker 1: because it it couldn't have cholesterol in it, because we 877 00:43:32,440 --> 00:43:35,279 Speaker 1: know where cholesterol comes from. And it's like, no rat 878 00:43:35,320 --> 00:43:38,280 Speaker 1: feces in this. It's like, well, it shouldn't have rat feces, 879 00:43:38,840 --> 00:43:41,000 Speaker 1: and what does that imply about the other material? 880 00:43:41,040 --> 00:43:44,359 Speaker 2: Anyway, It's but I do appreciate the nuance here that 881 00:43:44,600 --> 00:43:46,400 Speaker 2: you could say, let's just get rid of all of it. 882 00:43:46,440 --> 00:43:49,480 Speaker 2: But you're right that plastics have improved our lives and 883 00:43:49,480 --> 00:43:52,640 Speaker 2: there's positivity there. And it sounds like we're being, you know, 884 00:43:53,480 --> 00:43:56,640 Speaker 2: shills for big microplastics, as ironic as that name is, 885 00:43:57,200 --> 00:43:59,400 Speaker 2: but it's true that, you know, you wouldn't want to 886 00:43:59,400 --> 00:44:02,160 Speaker 2: just get rid of plastics even if there is a 887 00:44:02,239 --> 00:44:04,919 Speaker 2: cost to human health, because it also saves lives. Right, 888 00:44:05,239 --> 00:44:08,240 Speaker 2: having these medical supplies et cetera, et cetera does save lives. 889 00:44:08,280 --> 00:44:11,120 Speaker 2: And so really the question, as always, is a nuanced one. 890 00:44:11,120 --> 00:44:13,480 Speaker 2: It's like, does it do more harm than good? 891 00:44:13,880 --> 00:44:16,320 Speaker 1: Yeah? And so let's dig in for a second into 892 00:44:16,360 --> 00:44:19,160 Speaker 1: all the reasons why it's hard to really understand why 893 00:44:19,200 --> 00:44:22,040 Speaker 1: this stuff is bad for people. So one we talked 894 00:44:22,040 --> 00:44:24,920 Speaker 1: about how you can cough, sneeze, poop, or pee a 895 00:44:24,960 --> 00:44:27,799 Speaker 1: lot of this stuff out. So just because you're exposed 896 00:44:27,840 --> 00:44:30,720 Speaker 1: to something like bisfinil A doesn't mean that your body 897 00:44:30,760 --> 00:44:34,120 Speaker 1: isn't going to excrete it before it causes any damage 898 00:44:34,280 --> 00:44:37,200 Speaker 1: or break it down before it causes any damage. But 899 00:44:37,360 --> 00:44:39,840 Speaker 1: maybe it is causing damage, and so we need to 900 00:44:40,000 --> 00:44:42,759 Speaker 1: research this a lot more to figure out how we 901 00:44:42,760 --> 00:44:44,960 Speaker 1: get exposed to it, how our bodies respond to it, 902 00:44:45,040 --> 00:44:47,480 Speaker 1: how much of it is bad. But there does seem 903 00:44:47,480 --> 00:44:50,360 Speaker 1: to be a move, for example, in Europe to decrease 904 00:44:50,400 --> 00:44:54,160 Speaker 1: the amount of allowable things like bisfineles, because we are 905 00:44:54,239 --> 00:44:56,239 Speaker 1: deciding as the data comes in, oh, this is a 906 00:44:56,280 --> 00:44:59,040 Speaker 1: little scary, we don't want to risk it. The other 907 00:44:59,120 --> 00:45:01,920 Speaker 1: problem is that plast sticks come in loads of shapes 908 00:45:01,960 --> 00:45:04,120 Speaker 1: and sizes, and some of them are more likely to 909 00:45:04,160 --> 00:45:07,799 Speaker 1: get into our bloodstream, for example, than others, and when 910 00:45:07,880 --> 00:45:11,759 Speaker 1: they break down, they break down into thousands of different chemicals, 911 00:45:11,760 --> 00:45:14,800 Speaker 1: many of which we haven't looked at for health impacts yet. 912 00:45:15,040 --> 00:45:18,040 Speaker 1: So it could be that like ninety percent of plastics 913 00:45:18,080 --> 00:45:20,600 Speaker 1: are okay, but there's ten percent that break down into 914 00:45:20,800 --> 00:45:23,920 Speaker 1: super toxic stuff and that's what's causing the problem, or 915 00:45:23,960 --> 00:45:26,680 Speaker 1: maybe all the chemicals that it breaks down into are bad. 916 00:45:26,719 --> 00:45:28,439 Speaker 1: I don't want to sound like you've got me worried 917 00:45:28,480 --> 00:45:31,520 Speaker 1: now that I sound like I'm a shill for big microplastic. 918 00:45:33,760 --> 00:45:35,880 Speaker 1: This stuff is complicated, and you need to decide on 919 00:45:35,920 --> 00:45:38,359 Speaker 1: your own how worried you are about it. We also 920 00:45:38,360 --> 00:45:42,400 Speaker 1: don't have very good methods for counting and quantifying plastics 921 00:45:42,400 --> 00:45:44,920 Speaker 1: in the human body. I mentioned that you can look 922 00:45:44,960 --> 00:45:48,040 Speaker 1: at this stuff during an autopsy, but then once you've 923 00:45:48,080 --> 00:45:51,200 Speaker 1: got these micro or these nanoplastics that you've collected from 924 00:45:51,280 --> 00:45:54,200 Speaker 1: an autopsy, how do you know what kind of plastics 925 00:45:54,200 --> 00:45:57,439 Speaker 1: they were in particular, and what about it was bad? 926 00:45:57,480 --> 00:45:59,480 Speaker 1: So you know, maybe one plastic in the brain has 927 00:45:59,600 --> 00:46:02,080 Speaker 1: thali attached to it and one has bispinyl a, And 928 00:46:02,400 --> 00:46:05,120 Speaker 1: how do you quantify the total impact of all of 929 00:46:05,160 --> 00:46:07,839 Speaker 1: that on our bodies. It's very complicated when there's lots 930 00:46:07,840 --> 00:46:11,319 Speaker 1: of stuff interacting. And one thing that also makes it 931 00:46:11,320 --> 00:46:16,160 Speaker 1: complicated is that for things like bysfhinyla, this old phrase 932 00:46:16,239 --> 00:46:19,799 Speaker 1: the dose makes the poison doesn't really stand. So for 933 00:46:19,880 --> 00:46:24,799 Speaker 1: things like mercury, probably the more mercury, you ingest the 934 00:46:24,840 --> 00:46:26,759 Speaker 1: worse it is, we don't want to have a lot 935 00:46:26,760 --> 00:46:29,719 Speaker 1: of that. But with a lot of hormones, they have 936 00:46:29,800 --> 00:46:33,680 Speaker 1: this weird way of interacting with our body where low 937 00:46:33,719 --> 00:46:36,960 Speaker 1: doses and high doses can have the biggest impact, but 938 00:46:37,040 --> 00:46:40,560 Speaker 1: intermediate doses sometimes have low impacts. So it's almost like 939 00:46:40,600 --> 00:46:43,000 Speaker 1: the letter you if you're looking at it on a graph. 940 00:46:43,239 --> 00:46:45,239 Speaker 1: And so it's not necessarily the case that more and 941 00:46:45,239 --> 00:46:48,000 Speaker 1: more and more and more is worse, but having a 942 00:46:48,000 --> 00:46:49,920 Speaker 1: little bit could be really bad, or having a lot 943 00:46:49,960 --> 00:46:51,960 Speaker 1: could be really bad, And so it just makes it 944 00:46:52,080 --> 00:46:56,320 Speaker 1: even harder to figure out these associations and try to 945 00:46:56,320 --> 00:46:58,400 Speaker 1: get a handle on how bad and what doses are 946 00:46:58,440 --> 00:46:59,240 Speaker 1: okay for people. 947 00:46:59,520 --> 00:47:03,480 Speaker 2: Okay, then give me a overview of like potential things 948 00:47:03,520 --> 00:47:06,240 Speaker 2: to worry about in terms of effect on human health. 949 00:47:06,640 --> 00:47:08,040 Speaker 2: I'm not going to have more kids, so I don't 950 00:47:08,200 --> 00:47:10,799 Speaker 2: really need to worry about my boys swimming anymore. But 951 00:47:10,840 --> 00:47:13,360 Speaker 2: beyond fertility, what concerns are there for human health? 952 00:47:13,800 --> 00:47:18,800 Speaker 1: Okay, So again we don't really understand the mechanism totally 953 00:47:18,800 --> 00:47:20,959 Speaker 1: for some of this stuff, but one concern is that 954 00:47:21,239 --> 00:47:24,040 Speaker 1: there might be earlier puberty. So, for example, from the 955 00:47:24,080 --> 00:47:27,520 Speaker 1: nineteen seventies to today, I think puberty has moved up by 956 00:47:27,520 --> 00:47:30,560 Speaker 1: something like a year on average. And so the question 957 00:47:30,719 --> 00:47:34,280 Speaker 1: is do having all of these chemicals that mimic estrogen 958 00:47:34,320 --> 00:47:37,640 Speaker 1: in the environments, is that, for example, moving up puberty 959 00:47:37,680 --> 00:47:41,360 Speaker 1: time for women and women who enter puberty earlier, I 960 00:47:41,400 --> 00:47:43,399 Speaker 1: believe they have a higher risk of things like breast 961 00:47:43,440 --> 00:47:47,759 Speaker 1: cancer later on. So there could be bigger implications than oh, man, 962 00:47:47,800 --> 00:47:50,520 Speaker 1: I've got my period a year earlier. It could have 963 00:47:50,600 --> 00:47:54,799 Speaker 1: more health impacts down the line. There's also some proposed 964 00:47:54,880 --> 00:47:59,800 Speaker 1: link between obesity and microplastics. So obesity has increased in 965 00:47:59,840 --> 00:48:03,719 Speaker 1: the United States, you know, roughly along the line as 966 00:48:03,800 --> 00:48:07,799 Speaker 1: are increasing use of plastics. But a lot of things 967 00:48:07,800 --> 00:48:10,000 Speaker 1: have changed about the United States over that amount of 968 00:48:10,000 --> 00:48:12,320 Speaker 1: time too. You know, it's probably easier to get fast 969 00:48:12,320 --> 00:48:15,239 Speaker 1: food and less healthy food, So it's really hard over 970 00:48:15,280 --> 00:48:18,920 Speaker 1: time to tease these things apart. But plastics could be 971 00:48:18,920 --> 00:48:21,080 Speaker 1: playing a role because we have seen that some kinds 972 00:48:21,120 --> 00:48:23,799 Speaker 1: of plastics and the chemicals that they carry into our 973 00:48:23,840 --> 00:48:27,480 Speaker 1: bodies change the way our bodies metabolize food and the 974 00:48:27,520 --> 00:48:30,120 Speaker 1: way our bodies make fat cells and stuff like that. 975 00:48:30,560 --> 00:48:34,000 Speaker 1: And we found that lab animals and domestic pets are 976 00:48:34,040 --> 00:48:37,359 Speaker 1: more likely to be obese as well, and those are 977 00:48:37,400 --> 00:48:40,439 Speaker 1: animals that are exposed to plastics a lot because of us. 978 00:48:40,880 --> 00:48:43,560 Speaker 1: And so you know, maybe we're seeing an indirect effect 979 00:48:43,920 --> 00:48:45,759 Speaker 1: in our lab animals and our pets that. 980 00:48:45,840 --> 00:48:48,480 Speaker 2: We have to be very cautious in concluding anything from 981 00:48:48,520 --> 00:48:51,960 Speaker 2: correlation studies, right, because yes, these things could just be random. 982 00:48:52,040 --> 00:48:55,319 Speaker 2: Like if you've seen the correlation between ice cream and murder, right, 983 00:48:55,360 --> 00:48:59,120 Speaker 2: it's very tight. Doesn't mean ice cream causes murder. It 984 00:48:59,200 --> 00:49:01,160 Speaker 2: means you tend to have ice cream more in the summer, 985 00:49:01,160 --> 00:49:03,280 Speaker 2: and people tend to commit murderers more in the summer, 986 00:49:03,360 --> 00:49:05,640 Speaker 2: maybe because they're not getting enough ice cream. Actually, so 987 00:49:05,680 --> 00:49:07,400 Speaker 2: maybe ice cream suppresses murder. 988 00:49:07,440 --> 00:49:10,080 Speaker 1: Who knows, that's right. Maybe I think we probably all 989 00:49:10,120 --> 00:49:11,120 Speaker 1: need more ice cream. 990 00:49:11,200 --> 00:49:12,680 Speaker 2: Now we're big shells for ice cream. 991 00:49:12,880 --> 00:49:14,840 Speaker 1: Great, I'm okay with that that. 992 00:49:14,880 --> 00:49:18,759 Speaker 2: I'm okay with microplastic free big ice cream. All right, 993 00:49:18,880 --> 00:49:21,160 Speaker 2: there you go. So we're worried about puberty, we're worried 994 00:49:21,200 --> 00:49:24,240 Speaker 2: about ovcity. What else should we be worried about? 995 00:49:24,560 --> 00:49:28,000 Speaker 1: There's some concern about cardiovascular issues. So, for example, there 996 00:49:28,000 --> 00:49:30,080 Speaker 1: was a twenty twenty four paper in the New England 997 00:49:30,160 --> 00:49:34,080 Speaker 1: Journal of Medicine, where people went through surgeries to remove 998 00:49:34,440 --> 00:49:37,080 Speaker 1: plaques in their arteries. So this is like removing the 999 00:49:37,120 --> 00:49:39,080 Speaker 1: build up of stuff that was clogging up the stuff 1000 00:49:39,080 --> 00:49:41,359 Speaker 1: in the arteries leading to the heart. And after they 1001 00:49:41,440 --> 00:49:43,960 Speaker 1: removed that stuff, they put it under a microscope and 1002 00:49:44,000 --> 00:49:46,239 Speaker 1: they looked to see if they were microplastics in there, 1003 00:49:46,560 --> 00:49:48,960 Speaker 1: and about half of the people that they looked at 1004 00:49:49,280 --> 00:49:52,600 Speaker 1: had microplastics in there, a couple different kinds of microplastics. 1005 00:49:52,640 --> 00:49:55,040 Speaker 1: They tried to quantify the different kinds, but then they 1006 00:49:55,120 --> 00:49:58,560 Speaker 1: followed those people for thirty four months after the plaque 1007 00:49:58,560 --> 00:50:03,920 Speaker 1: was Removedeople who had microplastics in there were more likely 1008 00:50:04,000 --> 00:50:09,520 Speaker 1: to have encountered a myocardial infarction, a stroke, or death. Essentially, 1009 00:50:10,000 --> 00:50:13,960 Speaker 1: their heart was likely to have some additional problems in 1010 00:50:14,000 --> 00:50:17,040 Speaker 1: the like year and a half or more after plaque 1011 00:50:17,040 --> 00:50:18,760 Speaker 1: removal if those plaques had plastic. 1012 00:50:19,120 --> 00:50:22,480 Speaker 2: Infarction is a word. It's not just a typo for infraction. 1013 00:50:22,320 --> 00:50:25,000 Speaker 1: And infarction is an obstruction of the blood supply to 1014 00:50:25,040 --> 00:50:28,240 Speaker 1: an organ or region of tissue, typically a thrombosis or embolists, 1015 00:50:28,280 --> 00:50:29,520 Speaker 1: causing local death of the tissue. 1016 00:50:29,560 --> 00:50:31,759 Speaker 2: So yes, it's also a word that, for some reason 1017 00:50:31,920 --> 00:50:35,280 Speaker 2: is just hilarious. It's a word like weasel or booger, infarction. 1018 00:50:35,440 --> 00:50:37,319 Speaker 2: It just sounds funny to me. I don't know, I 1019 00:50:37,320 --> 00:50:39,839 Speaker 2: know it's not funny when it kills you, but it's 1020 00:50:39,840 --> 00:50:40,640 Speaker 2: a funny word. 1021 00:50:40,880 --> 00:50:42,920 Speaker 1: Yes, yeah, yeah, A booger is funny when it happens 1022 00:50:42,960 --> 00:50:46,400 Speaker 1: to you, and infarction is not. But uh, maybe a 1023 00:50:46,400 --> 00:50:48,880 Speaker 1: booger's not funny depending on the context. But anyway, it 1024 00:50:48,880 --> 00:50:51,719 Speaker 1: makes me laugh. So you mentioned that a problem with 1025 00:50:51,800 --> 00:50:56,080 Speaker 1: observational studies is that you don't know what is causing 1026 00:50:56,200 --> 00:50:58,640 Speaker 1: the correlation. So, for example, it could be that the 1027 00:50:58,760 --> 00:51:04,120 Speaker 1: people who had microplastics in their plaques are people who 1028 00:51:04,160 --> 00:51:06,880 Speaker 1: were more likely to I don't know, get McDonald's that 1029 00:51:06,920 --> 00:51:10,360 Speaker 1: are in those like plastic wrappers, and you know, something 1030 00:51:10,400 --> 00:51:14,440 Speaker 1: about their diet resulted in them having more microplastics, and 1031 00:51:14,480 --> 00:51:16,880 Speaker 1: then they didn't change that aspect of their life after 1032 00:51:16,920 --> 00:51:20,040 Speaker 1: the surgery, and that's what led to the problems they 1033 00:51:20,080 --> 00:51:22,919 Speaker 1: had down the road. So it's really hard to tease 1034 00:51:22,960 --> 00:51:26,880 Speaker 1: apart cause and effect and you know what is causing 1035 00:51:26,920 --> 00:51:29,480 Speaker 1: this problem when you're looking at an observational study. 1036 00:51:29,719 --> 00:51:32,080 Speaker 2: All right, So there's lots of reasons to worry, but 1037 00:51:32,120 --> 00:51:35,640 Speaker 2: we don't have a great mechanistic understanding or really an 1038 00:51:35,719 --> 00:51:39,640 Speaker 2: idea for what problems could be caused. So what can 1039 00:51:39,680 --> 00:51:43,200 Speaker 2: we do? What are your prescriptions for improving our lives? 1040 00:51:43,640 --> 00:51:46,080 Speaker 1: Yeah, so I'd say that the emerging picture is that 1041 00:51:46,120 --> 00:51:49,360 Speaker 1: there are reasons to potentially worry. 1042 00:51:49,600 --> 00:51:51,160 Speaker 2: There's always reasons to worry, Kelly. 1043 00:51:51,200 --> 00:51:53,680 Speaker 1: There's always reasons to worry, I know. And so you 1044 00:51:53,719 --> 00:51:57,359 Speaker 1: can decide how concerned the information we've talked about, how 1045 00:51:57,360 --> 00:51:59,640 Speaker 1: concerning that is to you. But there are some things 1046 00:51:59,640 --> 00:52:01,319 Speaker 1: you can do in your day to day life to 1047 00:52:02,040 --> 00:52:05,319 Speaker 1: protect the environment. Let's start with those. So one, there 1048 00:52:05,320 --> 00:52:07,399 Speaker 1: are like filters that you can get that go on 1049 00:52:07,440 --> 00:52:10,799 Speaker 1: your laundry machine to collect some of those microfibers so 1050 00:52:10,840 --> 00:52:13,040 Speaker 1: that they don't go into the wastewater treatment plant and 1051 00:52:13,040 --> 00:52:16,279 Speaker 1: then they don't go into the ocean. You can, you know, 1052 00:52:16,360 --> 00:52:18,640 Speaker 1: try to buy clothes that are meant to last a 1053 00:52:18,680 --> 00:52:21,479 Speaker 1: little bit longer so that you're not buying as many 1054 00:52:21,600 --> 00:52:25,440 Speaker 1: clothes and that would result in less you know, microplastics. 1055 00:52:25,480 --> 00:52:27,839 Speaker 1: You could take public transportation so that you're not wearing 1056 00:52:27,880 --> 00:52:30,560 Speaker 1: out your own tires. There's lots of little things that 1057 00:52:30,600 --> 00:52:31,120 Speaker 1: you could. 1058 00:52:30,960 --> 00:52:33,319 Speaker 2: Do you can invent flying cars so I don't need 1059 00:52:33,360 --> 00:52:34,160 Speaker 2: tires anymore. 1060 00:52:34,320 --> 00:52:36,840 Speaker 1: Well, I think some people are working on devices to 1061 00:52:36,920 --> 00:52:40,279 Speaker 1: collect plastic as they get released from tires, and that 1062 00:52:40,560 --> 00:52:42,399 Speaker 1: seems like it could be pretty tough. You'd maybe never 1063 00:52:42,440 --> 00:52:45,040 Speaker 1: get all of it, but you know, you could try 1064 00:52:45,080 --> 00:52:48,000 Speaker 1: to work on technologies that make this stuff easier to 1065 00:52:48,040 --> 00:52:50,360 Speaker 1: remove from the environment. But if you're worried about your 1066 00:52:50,400 --> 00:52:54,080 Speaker 1: own personal risk, some things that you can do include 1067 00:52:54,440 --> 00:52:58,080 Speaker 1: eating from glass or metal containers instead of plastic. If 1068 00:52:58,080 --> 00:53:01,719 Speaker 1: you have tupperware containers, don't wash them in your dishwasher 1069 00:53:01,760 --> 00:53:04,400 Speaker 1: because that gets really hot it starts breaking down the plastics. 1070 00:53:04,680 --> 00:53:07,920 Speaker 1: Those microplastics could come off in your food. Things like 1071 00:53:08,040 --> 00:53:12,080 Speaker 1: vacuuming regularly are important because you're dropping plastic fibers all 1072 00:53:12,120 --> 00:53:14,520 Speaker 1: the time from your clothes and they end up on 1073 00:53:14,560 --> 00:53:16,160 Speaker 1: the floor and then they can get kicked up into 1074 00:53:16,160 --> 00:53:19,800 Speaker 1: the air as you're walking around. Maybe not drinking bottled 1075 00:53:19,840 --> 00:53:22,160 Speaker 1: water because those tend to have plastics, but there's also 1076 00:53:22,239 --> 00:53:25,600 Speaker 1: plastic in tapwater. But if you get a reverse osmosis filter, 1077 00:53:26,080 --> 00:53:28,759 Speaker 1: you can take some of it out, but those are expensive, 1078 00:53:29,640 --> 00:53:33,759 Speaker 1: and if you remove the microplastics, you're also removing minerals 1079 00:53:33,760 --> 00:53:35,319 Speaker 1: and salts and stuff, and you might want to add 1080 00:53:35,360 --> 00:53:37,480 Speaker 1: some of that stuff back in. A lot of this 1081 00:53:37,520 --> 00:53:40,520 Speaker 1: stuff is complicated, so you need to decide what are 1082 00:53:40,560 --> 00:53:44,520 Speaker 1: your most likely exposure risks and how concerned are you, 1083 00:53:45,200 --> 00:53:47,440 Speaker 1: because again there are trade offs, maybe a lot of 1084 00:53:47,440 --> 00:53:50,200 Speaker 1: this stuff at doses. You know, like I live in 1085 00:53:50,200 --> 00:53:52,320 Speaker 1: the middle of nowhere. I don't probably breathe in a 1086 00:53:52,360 --> 00:53:56,160 Speaker 1: lot of tire stuff. My water comes from the ground, 1087 00:53:56,200 --> 00:53:59,400 Speaker 1: and while groundwater does sometimes have some plastics, my groundwater 1088 00:53:59,440 --> 00:54:01,160 Speaker 1: where I am probably doesn't have a lot of it. 1089 00:54:01,440 --> 00:54:02,560 Speaker 2: So we should all move in with you. 1090 00:54:02,640 --> 00:54:06,400 Speaker 1: It sounds like I mean no, no, actually, because then 1091 00:54:07,320 --> 00:54:11,120 Speaker 1: then it wouldn't be quite as pristine. But anyway, like, 1092 00:54:11,120 --> 00:54:13,839 Speaker 1: I'm not too worried about my exposure to plastics because 1093 00:54:13,920 --> 00:54:16,320 Speaker 1: I use a lot of ceramic and stainless steel stuff, 1094 00:54:16,640 --> 00:54:19,040 Speaker 1: so I'm not too worried. But you know, you should 1095 00:54:19,200 --> 00:54:21,640 Speaker 1: think about the various ways you encounter plastic in your 1096 00:54:21,680 --> 00:54:24,360 Speaker 1: life and then decide if you are concerned or not, 1097 00:54:24,440 --> 00:54:26,560 Speaker 1: and if you want to make any changes, it's up to. 1098 00:54:26,520 --> 00:54:29,680 Speaker 2: You, And as is my habit, the night before we record, 1099 00:54:29,719 --> 00:54:33,080 Speaker 2: I usually ask Katrina what she thinks about an episode 1100 00:54:33,160 --> 00:54:35,439 Speaker 2: just to hear she has some ideas. So I asked 1101 00:54:35,480 --> 00:54:39,480 Speaker 2: her what she thought we could do to reduce our microplastics. 1102 00:54:39,719 --> 00:54:41,280 Speaker 2: And here's what she had to say. 1103 00:54:41,880 --> 00:54:45,400 Speaker 8: Well, eating fiber forms a matrix that will protect you 1104 00:54:45,400 --> 00:54:47,560 Speaker 8: from all toxins. Think of it like a brit of filter, 1105 00:54:48,160 --> 00:54:51,759 Speaker 8: where it's sucking up the toxins and preventing them from 1106 00:54:51,800 --> 00:54:55,960 Speaker 8: being absorbed into your body. So if you're eating fiber, 1107 00:54:56,040 --> 00:54:59,200 Speaker 8: then you've got this gel that sticks with you down 1108 00:54:59,239 --> 00:55:02,120 Speaker 8: to your colon. If there's also microplastics in your food 1109 00:55:02,160 --> 00:55:04,759 Speaker 8: and water, it gets sucked up into that so that 1110 00:55:04,840 --> 00:55:07,560 Speaker 8: it doesn't get absorbed by your intestinal cells. 1111 00:55:08,040 --> 00:55:10,520 Speaker 2: So Katrina is big on fiber, so maybe no surprise 1112 00:55:10,719 --> 00:55:12,920 Speaker 2: that she prescribes fiber for everybody. 1113 00:55:13,120 --> 00:55:14,799 Speaker 1: Yeah, I was going to ask if the answer to 1114 00:55:14,840 --> 00:55:17,480 Speaker 1: every question in the Whites and household is beans. 1115 00:55:17,520 --> 00:55:22,560 Speaker 2: Beans, She seeds beans fiber. It's good. She's just rooting 1116 00:55:22,560 --> 00:55:25,880 Speaker 2: for the microbes inside everybody to help with the microplastics. 1117 00:55:26,040 --> 00:55:28,480 Speaker 1: Well, we could probably all use more fiber anyway. And 1118 00:55:28,760 --> 00:55:30,759 Speaker 1: there are some studies in mice, for example, that find 1119 00:55:30,760 --> 00:55:34,919 Speaker 1: that microplastics disrupt the gut microbiome, so fiber can help 1120 00:55:34,960 --> 00:55:37,279 Speaker 1: you in the battle against plastics in a lot of 1121 00:55:37,320 --> 00:55:39,560 Speaker 1: different ways, and so, you know, I want to be 1122 00:55:39,560 --> 00:55:41,640 Speaker 1: clear throughout this episode. You know, I've tried to make 1123 00:55:41,640 --> 00:55:44,200 Speaker 1: sure I was including caveats about whether or not this 1124 00:55:44,360 --> 00:55:46,960 Speaker 1: is likely to be important, Like I don't want people 1125 00:55:46,960 --> 00:55:50,200 Speaker 1: to be freaking out. There are some reasons to be concerned, 1126 00:55:50,600 --> 00:55:53,759 Speaker 1: but at the moment, there's just so many different places 1127 00:55:53,840 --> 00:55:57,279 Speaker 1: we can encounter plastics, and so many different kinds of plastics, 1128 00:55:57,280 --> 00:56:00,520 Speaker 1: and so many different contingencies that matter, like where the 1129 00:56:00,520 --> 00:56:02,400 Speaker 1: plastic was before it got to you. That we just 1130 00:56:02,400 --> 00:56:04,560 Speaker 1: don't have a very good handle on this problem yet. 1131 00:56:05,280 --> 00:56:07,960 Speaker 1: And this is all the more reason to invest in 1132 00:56:08,000 --> 00:56:10,640 Speaker 1: basic science so we can try to understand this better. 1133 00:56:11,040 --> 00:56:13,239 Speaker 1: But like so many risks in life, you got to 1134 00:56:13,280 --> 00:56:15,919 Speaker 1: kind of decide for yourself, how concerned am I going 1135 00:56:15,960 --> 00:56:17,360 Speaker 1: to be given what we know about this. 1136 00:56:17,920 --> 00:56:20,200 Speaker 2: So don't worry too much, don't worry too little, worry 1137 00:56:20,440 --> 00:56:21,240 Speaker 2: just the right. 1138 00:56:21,120 --> 00:56:25,400 Speaker 1: Amount that's right, Just the right amount. Good luck with that. 1139 00:56:26,320 --> 00:56:29,080 Speaker 1: And the reason we talked about microplastics today is because 1140 00:56:29,080 --> 00:56:31,600 Speaker 1: a listener sent us an email saying I would love 1141 00:56:31,640 --> 00:56:34,640 Speaker 1: to know more about microplastics. So I sent this episode 1142 00:56:34,640 --> 00:56:36,279 Speaker 1: to them, and let's see what they had to say. 1143 00:56:36,640 --> 00:56:42,640 Speaker 9: Plastic is a wonderful material and all its different applications 1144 00:56:42,640 --> 00:56:47,120 Speaker 9: and all the different fields where it's an essential material. 1145 00:56:47,920 --> 00:56:49,520 Speaker 9: Although I don't believe that we. 1146 00:56:49,440 --> 00:56:52,680 Speaker 10: Need to be more picky how we use plastic, and 1147 00:56:53,600 --> 00:56:58,320 Speaker 10: we need to cut some products from our lives, especially 1148 00:56:58,440 --> 00:57:03,600 Speaker 10: the disposed of single use ones that are quite unnecessary. 1149 00:57:03,760 --> 00:57:09,440 Speaker 10: I believe I'm deeply concerned for the effect microplastics have 1150 00:57:09,680 --> 00:57:12,280 Speaker 10: on smaller creatures, especially. 1151 00:57:11,880 --> 00:57:14,120 Speaker 9: Ocean creatures as you mentioned in the episode, and. 1152 00:57:15,600 --> 00:57:20,720 Speaker 11: The effects that they may have on their larger food 1153 00:57:20,800 --> 00:57:26,919 Speaker 11: chains and ecosystems. It might sound bleak, but I'm less 1154 00:57:26,920 --> 00:57:31,120 Speaker 11: so concerned for the effects on human health, as we are, 1155 00:57:31,200 --> 00:57:35,200 Speaker 11: of course the responsible ones. But thank you Daniel and 1156 00:57:35,280 --> 00:57:40,160 Speaker 11: Kelly for the episode is informative. I learned some new things, 1157 00:57:40,200 --> 00:57:43,440 Speaker 11: and thank you for picking my suggestion. 1158 00:57:43,800 --> 00:57:45,920 Speaker 1: Thank you very much for that feedback. We did end 1159 00:57:46,000 --> 00:57:50,680 Speaker 1: up focusing a lot on human aspects of impacts of microplastics, 1160 00:57:51,040 --> 00:57:55,600 Speaker 1: but there's definitely evidence that microplastics and aquatic ecosystems are 1161 00:57:55,880 --> 00:57:59,920 Speaker 1: bad and impact a variety of different organisms in negative ways. 1162 00:58:00,040 --> 00:58:02,440 Speaker 1: So I think at a minimum, it would be important 1163 00:58:02,480 --> 00:58:04,000 Speaker 1: for all of us to think about how we can 1164 00:58:04,000 --> 00:58:07,000 Speaker 1: cut back on plastics in our lives, and we should 1165 00:58:07,000 --> 00:58:10,560 Speaker 1: think about what we're doing too organisms beside ourselves. So yes, 1166 00:58:10,600 --> 00:58:12,160 Speaker 1: thank you for making that important point. 1167 00:58:12,480 --> 00:58:15,040 Speaker 2: All right, well, thanks everyone for sending in your questions, 1168 00:58:15,160 --> 00:58:17,080 Speaker 2: for being curious about the nature of the world. Though 1169 00:58:17,080 --> 00:58:19,200 Speaker 2: we don't have a clear prescription about how you should 1170 00:58:19,240 --> 00:58:22,000 Speaker 2: live your life, at least now you're better informed about 1171 00:58:22,000 --> 00:58:24,560 Speaker 2: what we do and don't know about microplastics. 1172 00:58:31,440 --> 00:58:35,280 Speaker 1: Daniel and Kelly's Extraordinary Universe is produced by iHeartRadio. We 1173 00:58:35,320 --> 00:58:37,880 Speaker 1: would love to hear from you, We really would. 1174 00:58:38,040 --> 00:58:40,800 Speaker 2: We want to know what questions you have about this 1175 00:58:41,000 --> 00:58:42,640 Speaker 2: Extraordinary Universe. 1176 00:58:42,720 --> 00:58:45,680 Speaker 1: We want to know your thoughts on recent shows, suggestions 1177 00:58:45,680 --> 00:58:48,680 Speaker 1: for future shows. If you contact us, we will get 1178 00:58:48,720 --> 00:58:49,120 Speaker 1: back to you. 1179 00:58:49,400 --> 00:58:52,920 Speaker 2: We really mean it. We answer every message. Email us 1180 00:58:52,960 --> 00:58:56,160 Speaker 2: at Questions at Danielankelly. 1181 00:58:55,240 --> 00:58:57,320 Speaker 1: Dot org, or you can find us on social media. 1182 00:58:57,400 --> 00:59:01,200 Speaker 1: We have accounts on x, Instagram, Blue Sky and on 1183 00:59:01,280 --> 00:59:03,240 Speaker 1: all of those platforms. 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