1 00:00:03,160 --> 00:00:06,440 Speaker 1: Welcome to Stuff Mom Never Told You from housetop works 2 00:00:06,480 --> 00:00:14,520 Speaker 1: dot com. Hello, and welcome to the podcast. I'm Kristen 3 00:00:14,720 --> 00:00:18,119 Speaker 1: and I'm Caroline. And why don't we kick off Caroline 4 00:00:18,320 --> 00:00:24,040 Speaker 1: with some news out of the European Union news alert? 5 00:00:24,920 --> 00:00:29,040 Speaker 1: Do you need an accent news alert? Very good from 6 00:00:29,080 --> 00:00:33,040 Speaker 1: the European Union. Yeah. It turns out of the European 7 00:00:33,120 --> 00:00:37,280 Speaker 1: Union banned animal testing for cosmetics. Yeah, and it's going 8 00:00:37,360 --> 00:00:41,520 Speaker 1: into effect on March eleventh, two thousand thirteen, so it's 9 00:00:41,560 --> 00:00:44,519 Speaker 1: coming right up around the corner as this podcast is 10 00:00:44,560 --> 00:00:48,360 Speaker 1: being recorded. And it took twenty three years of trying, 11 00:00:48,760 --> 00:00:53,040 Speaker 1: but the European Coalition to End Animal Experiments helped bring 12 00:00:53,120 --> 00:00:57,800 Speaker 1: about that band, which is a pretty huge deal. Yeah. 13 00:00:57,840 --> 00:01:01,360 Speaker 1: This they say that all personal care products, so not 14 00:01:01,480 --> 00:01:05,640 Speaker 1: just you know, powder, but shampoo for instance, all personal 15 00:01:05,680 --> 00:01:08,160 Speaker 1: care care products will be subject to the rules, meaning 16 00:01:08,200 --> 00:01:13,360 Speaker 1: that final products cannot have been tested on animals. This 17 00:01:13,440 --> 00:01:16,520 Speaker 1: band was actually approved ten years ago, a full decade people, 18 00:01:17,040 --> 00:01:18,960 Speaker 1: and they initially agreed to begin enforcing it in two 19 00:01:18,959 --> 00:01:22,160 Speaker 1: thousand nine. But you know how these things are. People 20 00:01:22,200 --> 00:01:25,160 Speaker 1: move slowly, but the European Union is way ahead of 21 00:01:25,480 --> 00:01:29,160 Speaker 1: the US. If we're talking about bands and things. This 22 00:01:29,240 --> 00:01:32,720 Speaker 1: is true UM, and the EU is not the only 23 00:01:33,880 --> 00:01:38,000 Speaker 1: group of nations thinking about this. UH. Israel, although it 24 00:01:38,080 --> 00:01:39,720 Speaker 1: is not a group, it is a singular nation and 25 00:01:39,920 --> 00:01:44,000 Speaker 1: a singular nation. In addition to the European Union, UH 26 00:01:44,160 --> 00:01:47,119 Speaker 1: is banning the important marketing and sale of any cosmetics, 27 00:01:47,120 --> 00:01:52,480 Speaker 1: toiletries or detergents whose manufacturing process involved animal testing. But 28 00:01:52,480 --> 00:01:56,680 Speaker 1: it does make exemptions for items produced for medicinal products 29 00:01:57,120 --> 00:02:01,360 Speaker 1: not categorized as drugs. And that new law is in 30 00:02:01,440 --> 00:02:03,800 Speaker 1: addition to a two thousand seven law that banned animal 31 00:02:03,880 --> 00:02:09,320 Speaker 1: testing in Israel's cosmetics industry. But Mark Bittman, who we've 32 00:02:09,320 --> 00:02:11,520 Speaker 1: referenced a number of times and I'm sure a lot 33 00:02:11,560 --> 00:02:14,200 Speaker 1: of our listeners are familiar with from his food writing 34 00:02:14,600 --> 00:02:17,359 Speaker 1: at the New York Times, wrote in an op ed 35 00:02:17,480 --> 00:02:22,880 Speaker 1: column in February two, hey don't celebrate yet. Yeah, he 36 00:02:22,919 --> 00:02:25,079 Speaker 1: says that there are plenty don't worry people, There are 37 00:02:25,160 --> 00:02:29,520 Speaker 1: plenty of questionable ingredients still in your products. And not 38 00:02:29,600 --> 00:02:33,400 Speaker 1: only that, animal testing is far from over. And so 39 00:02:33,480 --> 00:02:35,880 Speaker 1: not only are we are we not We're not quite 40 00:02:35,919 --> 00:02:38,400 Speaker 1: there yet, especially in the US, from banning all animal 41 00:02:38,440 --> 00:02:42,760 Speaker 1: testing or at least you know, reducing it. China, they 42 00:02:42,880 --> 00:02:47,440 Speaker 1: came around and officially mandated that animal testing happen with 43 00:02:47,520 --> 00:02:50,880 Speaker 1: cosmetics like you have to. You can't sell cosmetics in 44 00:02:50,960 --> 00:02:53,600 Speaker 1: China if they haven't been tested on animals. But that 45 00:02:53,639 --> 00:02:56,160 Speaker 1: puts them in a sticky situation because then where are 46 00:02:56,160 --> 00:02:58,440 Speaker 1: they going to sell them outside of China? You put 47 00:02:58,440 --> 00:03:01,000 Speaker 1: that lipstick on a rabbit in China. Is such a 48 00:03:01,040 --> 00:03:06,400 Speaker 1: good example of how this animal testing issue is such 49 00:03:06,400 --> 00:03:09,360 Speaker 1: a complex one, not just from the you know, the 50 00:03:09,400 --> 00:03:12,720 Speaker 1: starting point of public perception in the whole morality debate 51 00:03:12,960 --> 00:03:16,440 Speaker 1: surrounding animal testing, but even to how how do you 52 00:03:16,520 --> 00:03:18,640 Speaker 1: stop it when it is so common and it's so 53 00:03:18,680 --> 00:03:23,239 Speaker 1: widespread and some would argue that it has positive benefits 54 00:03:23,280 --> 00:03:27,160 Speaker 1: as well. Um, But before we go any further though, Caroline, 55 00:03:27,160 --> 00:03:30,480 Speaker 1: some people might be wondering, why are christ and Caroline 56 00:03:30,639 --> 00:03:34,160 Speaker 1: talking about animal testing on stuff? Mom never told you 57 00:03:34,480 --> 00:03:38,360 Speaker 1: gender aspect all women love bunnies? Is that it? Well? 58 00:03:38,560 --> 00:03:41,400 Speaker 1: I don't have any empirical data to back that up, 59 00:03:41,440 --> 00:03:44,960 Speaker 1: although I will say that of the women in this 60 00:03:45,040 --> 00:03:50,240 Speaker 1: room right now, I think really enjoy bunnies. Antie, our producer, 61 00:03:51,200 --> 00:03:53,560 Speaker 1: she nods, we got we got a three for three 62 00:03:54,040 --> 00:03:57,320 Speaker 1: for bunnies. Now, Um, it's true. There has been um. 63 00:03:57,360 --> 00:04:01,360 Speaker 1: First of all, a long established gender differ in perceptions 64 00:04:01,440 --> 00:04:05,160 Speaker 1: toward animal testing. And what I mean by that is 65 00:04:05,200 --> 00:04:09,440 Speaker 1: that survey after survey after survey has shown that women, 66 00:04:09,960 --> 00:04:15,320 Speaker 1: more often than men opposed animal testing, usually on grounds 67 00:04:15,400 --> 00:04:19,240 Speaker 1: that we don't want to inflict unnecessary harm on animals 68 00:04:19,240 --> 00:04:22,120 Speaker 1: more taking more of the moral approach to it. Um. 69 00:04:22,160 --> 00:04:25,720 Speaker 1: For instance, there was a nine six study published in 70 00:04:25,880 --> 00:04:28,720 Speaker 1: the journal Ethics and Behavior which found that female college 71 00:04:28,760 --> 00:04:32,400 Speaker 1: students were more likely to support animal testing restrictions and 72 00:04:32,480 --> 00:04:37,400 Speaker 1: express concern over the suffering aspect, whereas men were more 73 00:04:37,440 --> 00:04:41,680 Speaker 1: likely to argue on behalf of the potential scientific insight 74 00:04:41,760 --> 00:04:44,320 Speaker 1: glean basically saying like, well, you know, if you got 75 00:04:44,320 --> 00:04:47,680 Speaker 1: to kill a few mice to get a drug that 76 00:04:47,760 --> 00:04:53,320 Speaker 1: can help a lot of people, then okay, then that's fine. Yeah. Well, 77 00:04:53,360 --> 00:04:56,560 Speaker 1: there was a two thousand three Gallop poll among Americans, Britons, 78 00:04:56,560 --> 00:05:00,840 Speaker 1: and Canadians, and overall the majority of American and Canadians 79 00:05:00,960 --> 00:05:07,520 Speaker 1: thought that animal testing was more morally acceptable than Britain's did. However, 80 00:05:07,680 --> 00:05:11,600 Speaker 1: women in all countries who found that animal testing was 81 00:05:11,640 --> 00:05:15,479 Speaker 1: morally wrong far outnumbered the proportion of men who did so. Yeah, 82 00:05:15,520 --> 00:05:18,600 Speaker 1: so it's not just a thing of American women clutching 83 00:05:18,720 --> 00:05:23,200 Speaker 1: their their bunnies and their their mice. Um. And it's interesting, 84 00:05:23,240 --> 00:05:25,160 Speaker 1: and we don't have time to go into it in 85 00:05:25,200 --> 00:05:28,080 Speaker 1: this episode, and we should do another episode on this. 86 00:05:28,240 --> 00:05:31,440 Speaker 1: But women have always been very active with animal rights 87 00:05:31,600 --> 00:05:34,400 Speaker 1: in general, and this is something that people often trace 88 00:05:34,480 --> 00:05:38,800 Speaker 1: back to the progressive eras anti vivis section movement, in 89 00:05:38,839 --> 00:05:42,280 Speaker 1: which it was middle class women leading the charge in 90 00:05:42,320 --> 00:05:46,400 Speaker 1: what would be the predecessor to today's animal rights movement 91 00:05:46,400 --> 00:05:48,479 Speaker 1: that we think about and it's yeah, it's that whole 92 00:05:48,520 --> 00:05:52,640 Speaker 1: idea of the progressive eras moral accountability that the women 93 00:05:52,680 --> 00:05:54,240 Speaker 1: at the time talked about. And they also had a 94 00:05:54,279 --> 00:05:57,000 Speaker 1: large presence in the anti cruelty groups of the time 95 00:05:57,560 --> 00:06:00,680 Speaker 1: UM and groups like the a A vs. The American 96 00:06:00,920 --> 00:06:05,520 Speaker 1: Anti Vivisection Society. And if you want to learn more 97 00:06:05,520 --> 00:06:08,599 Speaker 1: about this, Emily Gardner has written a whole book on 98 00:06:08,640 --> 00:06:11,720 Speaker 1: this called Women and the Animal Rights Movement. And I 99 00:06:11,760 --> 00:06:14,080 Speaker 1: was looking at one section from the book and when 100 00:06:14,120 --> 00:06:18,000 Speaker 1: she was talking to twenty seven female animal rights activists 101 00:06:18,839 --> 00:06:20,880 Speaker 1: trying to figure out why it is that so many 102 00:06:20,880 --> 00:06:23,720 Speaker 1: women are involved in the first place in why more 103 00:06:23,880 --> 00:06:28,640 Speaker 1: men aren't involved, And she talked about how their presence 104 00:06:28,640 --> 00:06:33,840 Speaker 1: and animal rights was largely explained from just basic biological influences, 105 00:06:34,160 --> 00:06:38,479 Speaker 1: social learning, and empathy based on common oppressions, and that 106 00:06:38,520 --> 00:06:41,279 Speaker 1: whole common oppression thing is something that comes up as well, 107 00:06:41,279 --> 00:06:44,640 Speaker 1: where you can find so many papers on connections drawn 108 00:06:44,640 --> 00:06:49,760 Speaker 1: between animal rights support and feminism, basically saying like, you know, 109 00:06:49,839 --> 00:06:55,040 Speaker 1: we can empathize with, you know, oppression, I suppose in 110 00:06:55,080 --> 00:06:57,760 Speaker 1: a way. Yeah, And she said, uh, you know, are 111 00:06:57,800 --> 00:07:01,800 Speaker 1: the cages that can find humans and young girls any 112 00:07:01,800 --> 00:07:04,240 Speaker 1: different than the cages that can find animals? And I 113 00:07:04,240 --> 00:07:07,000 Speaker 1: can understand how some people might think that that is 114 00:07:07,120 --> 00:07:11,800 Speaker 1: a bit of a philosophical stretch, but I think it 115 00:07:11,520 --> 00:07:13,920 Speaker 1: would be worth us coming back to at some point 116 00:07:14,160 --> 00:07:18,560 Speaker 1: really digging into that history of why women have been 117 00:07:18,680 --> 00:07:21,080 Speaker 1: so invested in animal rights. But we thought because it 118 00:07:21,160 --> 00:07:25,119 Speaker 1: is such a gendered issue, not just on the human 119 00:07:25,200 --> 00:07:28,480 Speaker 1: side of whether or not you support it or oppose it, 120 00:07:28,640 --> 00:07:31,760 Speaker 1: but there's also gendered issues among test animals that we 121 00:07:31,800 --> 00:07:34,120 Speaker 1: could come back and talk about as well. The fact 122 00:07:34,160 --> 00:07:37,400 Speaker 1: that a lot of those mice, for instance, that we 123 00:07:37,440 --> 00:07:41,880 Speaker 1: think of in science labs tend to be male and 124 00:07:42,640 --> 00:07:46,040 Speaker 1: whether that's really such a good model if you're looking for, say, 125 00:07:46,360 --> 00:07:50,760 Speaker 1: a medication for female chronic pain things like that. So 126 00:07:50,840 --> 00:07:55,960 Speaker 1: gender is very much tied up with animal testing. Yeah, Now, 127 00:07:56,000 --> 00:07:58,800 Speaker 1: going back to more general history of animal testing, it 128 00:07:58,840 --> 00:08:02,080 Speaker 1: has really been crucial as far as testing everything from 129 00:08:02,120 --> 00:08:07,160 Speaker 1: medicines to yeah, even your shampoo. And there's a good 130 00:08:07,200 --> 00:08:11,080 Speaker 1: example of diabetic dogs proving the existence of insulin in 131 00:08:11,080 --> 00:08:16,880 Speaker 1: the nineteen twenties. I'm imagining dogs and lab coats. Yes, 132 00:08:17,560 --> 00:08:21,840 Speaker 1: And one critical turning point was in nineteen thirty three 133 00:08:22,080 --> 00:08:25,080 Speaker 1: when at least seventeen American women were blinded by and 134 00:08:25,200 --> 00:08:28,960 Speaker 1: one died of complications from the use of new mascara 135 00:08:29,240 --> 00:08:33,200 Speaker 1: lash lure. At the time, no laws governed the safety 136 00:08:33,200 --> 00:08:35,840 Speaker 1: of consumer products. So everybody's like, oh my god, mascara 137 00:08:36,000 --> 00:08:40,280 Speaker 1: is killing our women. Yeah. There was this untested chemical 138 00:08:40,400 --> 00:08:45,240 Speaker 1: in it, a pheno emma diamine that caused blisters, abscesses, 139 00:08:45,320 --> 00:08:49,920 Speaker 1: and ulcers around women's eyelashes in faces. It even did 140 00:08:49,920 --> 00:08:52,839 Speaker 1: you mention that it even blinded one woman and one 141 00:08:52,840 --> 00:08:55,360 Speaker 1: woman got an infection so bad that she ended up 142 00:08:55,440 --> 00:08:58,480 Speaker 1: dying from it. Um. If you want to see some 143 00:08:59,640 --> 00:09:03,079 Speaker 1: not not so fun pictures on the internet. You can 144 00:09:03,080 --> 00:09:07,960 Speaker 1: google lash lure um. But because of that, Congress passed 145 00:09:07,960 --> 00:09:12,320 Speaker 1: the Federal Food, Drug, and Cosmetic Act of nineteen thirty eight, 146 00:09:12,360 --> 00:09:16,679 Speaker 1: requiring that products be verified safe for human use before 147 00:09:16,760 --> 00:09:19,440 Speaker 1: they could be sold. Yeah, so this is where we 148 00:09:19,520 --> 00:09:23,040 Speaker 1: get the entrance of widespread animal testing based on the 149 00:09:23,080 --> 00:09:27,240 Speaker 1: premise that animals are similar enough to people. And I guess, 150 00:09:27,520 --> 00:09:31,120 Speaker 1: I mean call me ignorant. I really never thought of 151 00:09:31,960 --> 00:09:34,160 Speaker 1: thought of it that way as people being like, oh, well, 152 00:09:34,160 --> 00:09:37,079 Speaker 1: now we should start testing on bunnies and and mice. 153 00:09:37,240 --> 00:09:39,839 Speaker 1: Like I I never thought of it coming about that way, really, 154 00:09:40,280 --> 00:09:41,600 Speaker 1: I guess I thought of it as more of like 155 00:09:41,800 --> 00:09:45,280 Speaker 1: a lab medicine kind of thing that came later, right, 156 00:09:45,280 --> 00:09:48,239 Speaker 1: I mean, at the time, I guess it was a 157 00:09:48,480 --> 00:09:52,880 Speaker 1: safety need that they thought that they were easily fulfilling. Um. 158 00:09:53,280 --> 00:09:56,120 Speaker 1: And if we fast forward to today, if we think about, well, 159 00:09:56,160 --> 00:09:59,880 Speaker 1: how many how many animals are involved in all this testing. 160 00:10:00,000 --> 00:10:03,640 Speaker 1: In two thousand seven, New York Times reported that, by 161 00:10:03,679 --> 00:10:07,760 Speaker 1: conservative estimates, tens of millions of animals are killed or 162 00:10:07,800 --> 00:10:10,280 Speaker 1: maimed each year in research on safety and effectiveness of 163 00:10:10,320 --> 00:10:16,280 Speaker 1: new drugs, agricultural chemicals, and consumer products. That would include cosmetics. 164 00:10:16,280 --> 00:10:18,240 Speaker 1: And I should mention too that we have had some 165 00:10:18,320 --> 00:10:22,240 Speaker 1: listeners right and asking us to do on an episode 166 00:10:22,280 --> 00:10:27,080 Speaker 1: specifically on animal testing on in cosmetics. But it's such 167 00:10:27,120 --> 00:10:32,040 Speaker 1: a huge thing that they're like, finding that granular of 168 00:10:32,120 --> 00:10:37,840 Speaker 1: information is surprisingly challenging. Yeah, although there is plenty of 169 00:10:37,880 --> 00:10:41,839 Speaker 1: information on lash lore, which is horrifying. One thing I 170 00:10:41,880 --> 00:10:45,400 Speaker 1: think is interesting, though, is just the lack of specific 171 00:10:45,480 --> 00:10:49,720 Speaker 1: and concrete numbers. The Humane Society in two thousand nine estimated, 172 00:10:50,080 --> 00:10:52,600 Speaker 1: similarly to that New York Times estimate, that more than 173 00:10:52,640 --> 00:10:56,520 Speaker 1: twenty five million vertebrate animals are used each year in research, testing, 174 00:10:56,520 --> 00:10:59,760 Speaker 1: in education, but they say accurate and comprehensive figures for 175 00:11:00,000 --> 00:11:03,360 Speaker 1: the US aren't available, and they point out that the 176 00:11:03,440 --> 00:11:06,720 Speaker 1: most common animal used, which are rats and mice bread 177 00:11:06,800 --> 00:11:12,280 Speaker 1: for research, aren't actually counted in that ginormous number of 178 00:11:12,400 --> 00:11:17,280 Speaker 1: lab animals, nor are they covered under the Animal Welfare Act. Yeah, 179 00:11:17,320 --> 00:11:19,360 Speaker 1: and so if you want to if you're curious about 180 00:11:19,440 --> 00:11:22,440 Speaker 1: the types of animals using research, obviously the number one 181 00:11:22,600 --> 00:11:26,880 Speaker 1: it's gonna be mice than rats, birds, rabbits, guinea pigs, hamsters, 182 00:11:26,960 --> 00:11:31,000 Speaker 1: farm animals, dogs, primates, and cats. I can't even imagine 183 00:11:31,040 --> 00:11:33,160 Speaker 1: how they get a cat to sit still. I mean, 184 00:11:33,880 --> 00:11:37,120 Speaker 1: that's an insensitive comment, but that's why they live in cages. 185 00:11:37,480 --> 00:11:40,920 Speaker 1: Kitty cats. They're like, no, get off of me. But 186 00:11:41,000 --> 00:11:44,800 Speaker 1: the FDA stands on animal testing and products safety is 187 00:11:44,920 --> 00:11:48,400 Speaker 1: a little bit flimsy because the FDA says, hey, cosmetic firms, 188 00:11:48,440 --> 00:11:51,319 Speaker 1: I guess what, we want you to substantiate the safety 189 00:11:51,640 --> 00:11:54,760 Speaker 1: of your products. We don't want a lash Lore incident 190 00:11:54,880 --> 00:12:00,439 Speaker 1: happening again. But we're not going to necessarily re wire 191 00:12:00,559 --> 00:12:02,600 Speaker 1: you to do anything. And we're going to tell you 192 00:12:02,640 --> 00:12:05,760 Speaker 1: that we don't really like animal testing, but really we 193 00:12:05,840 --> 00:12:09,320 Speaker 1: just want to make sure that people don't get hurt 194 00:12:09,600 --> 00:12:13,120 Speaker 1: because of your products. Yeah, the FDA has advised manufacturers 195 00:12:13,120 --> 00:12:16,959 Speaker 1: to use whatever testing is appropriate for backing up the 196 00:12:17,000 --> 00:12:20,680 Speaker 1: safety of their products, but they haven't specifically said one 197 00:12:20,679 --> 00:12:22,720 Speaker 1: way or the other, don't use animals, or you have 198 00:12:22,840 --> 00:12:26,400 Speaker 1: to use animals. They do support applicable laws that are 199 00:12:26,400 --> 00:12:28,640 Speaker 1: in place, and one of those that we mentioned just 200 00:12:28,679 --> 00:12:30,880 Speaker 1: a second ago is the Animal Welfare Act, which was 201 00:12:30,880 --> 00:12:33,640 Speaker 1: signed into law in nineteen sixties six. It's the only 202 00:12:33,679 --> 00:12:37,520 Speaker 1: federal law that regulates the treatment of animals in research, exhibition, 203 00:12:37,640 --> 00:12:41,480 Speaker 1: or transport by dealers, and the Act requires that minimum 204 00:12:41,480 --> 00:12:44,360 Speaker 1: standards of care and treatment be provided for certain animals 205 00:12:44,760 --> 00:12:47,320 Speaker 1: bread for these uses. And I can imagine that that 206 00:12:47,360 --> 00:12:51,240 Speaker 1: people listening who are more active with animal rights would say, yeah, 207 00:12:51,320 --> 00:12:54,880 Speaker 1: minimum standards of care and treatment. I mean, that's it's 208 00:12:54,920 --> 00:12:58,360 Speaker 1: it is pretty baseline when you read about like what 209 00:12:58,480 --> 00:13:01,959 Speaker 1: minimum care entails is, you know, it's obviously like small 210 00:13:02,000 --> 00:13:06,800 Speaker 1: confined spaces and lots of food. Mice can just gorge 211 00:13:06,840 --> 00:13:14,240 Speaker 1: themselves usually no exercise, no bridge games, Sunday brunches with 212 00:13:14,280 --> 00:13:16,800 Speaker 1: the FAM. No. And then in two thousand to the 213 00:13:16,880 --> 00:13:21,280 Speaker 1: National Institutes of Health also got involved with overseeing the 214 00:13:21,320 --> 00:13:23,880 Speaker 1: care and use of laboratory animals with their Office of 215 00:13:23,960 --> 00:13:30,080 Speaker 1: Laboratory and Animal Welfare that's responsible for essentially administering policies 216 00:13:30,120 --> 00:13:33,440 Speaker 1: to make sure that animals involved in government funded research 217 00:13:33,800 --> 00:13:36,959 Speaker 1: are treated well. And then on top of that, getting 218 00:13:36,960 --> 00:13:39,640 Speaker 1: back to the whole cosmetics thing, there is a Safe 219 00:13:39,679 --> 00:13:44,520 Speaker 1: Cosmetics Act that was introduced in June two thousand eleven, 220 00:13:44,520 --> 00:13:48,199 Speaker 1: which is kind of just like a like an encouragement thing, like, hey, 221 00:13:48,400 --> 00:13:51,520 Speaker 1: do the right thing companies. And I don't think it's 222 00:13:51,520 --> 00:13:54,400 Speaker 1: been adopted yet, and I think it's still floating out 223 00:13:54,440 --> 00:13:58,840 Speaker 1: there like use safe powders. Yeah, it's it's almost like 224 00:13:59,160 --> 00:14:01,760 Speaker 1: the f d A the government, and I understand like 225 00:14:01,960 --> 00:14:07,280 Speaker 1: this when you're dealing with so many manufacturers manufacturing so 226 00:14:07,360 --> 00:14:12,280 Speaker 1: many products, I'm sure that it is challenging. But the 227 00:14:12,320 --> 00:14:14,520 Speaker 1: fact is it seems like the government takes merely a 228 00:14:14,600 --> 00:14:18,040 Speaker 1: good will approach, but like we like we give a 229 00:14:18,120 --> 00:14:22,640 Speaker 1: thumbs up to safe things, safe for all. Yeah, I 230 00:14:22,640 --> 00:14:24,920 Speaker 1: mean I think I think the arguments definitely out there 231 00:14:25,000 --> 00:14:28,680 Speaker 1: that hey, do you care more about your eyeballs not 232 00:14:28,800 --> 00:14:32,200 Speaker 1: melting off or or the bunny's eyeballs not melting off? 233 00:14:32,840 --> 00:14:34,840 Speaker 1: And that that is a question for some people. That 234 00:14:34,960 --> 00:14:36,840 Speaker 1: is a question for some people. And there are also 235 00:14:37,200 --> 00:14:41,960 Speaker 1: researchers who are busy looking for alternatives because it's not 236 00:14:42,040 --> 00:14:44,920 Speaker 1: like scientists are like, wah, I get to go to 237 00:14:44,960 --> 00:14:50,280 Speaker 1: look and and kill mice today or maybe somewhere I 238 00:14:50,280 --> 00:14:55,480 Speaker 1: hope not. There are alternatives being developed out there. The 239 00:14:55,600 --> 00:14:59,680 Speaker 1: John Hopkins Center for Alternatives to Animal Testing developed altway, 240 00:14:59,720 --> 00:15:02,560 Speaker 1: which is the clearinghouse for information about methods, research and 241 00:15:02,600 --> 00:15:06,480 Speaker 1: resources for alternative methods. So what are the some of 242 00:15:06,520 --> 00:15:10,280 Speaker 1: the things out there that helps there's grasp ingredients g 243 00:15:10,600 --> 00:15:13,840 Speaker 1: r A S, which is generally recognized as safe. These 244 00:15:13,840 --> 00:15:17,840 Speaker 1: are ingredients that don't require further testing. Uh, they're also 245 00:15:17,920 --> 00:15:20,680 Speaker 1: test tube in and computer technology, so it's sort of 246 00:15:20,680 --> 00:15:24,280 Speaker 1: a loophole like they were possibly tested a long time ago, 247 00:15:24,440 --> 00:15:26,760 Speaker 1: but now we recognize that they're okay, so we don't 248 00:15:26,800 --> 00:15:29,120 Speaker 1: have to test them anymore. Yeah, that would be like 249 00:15:29,120 --> 00:15:35,720 Speaker 1: an argument for companies that offer organic, all natural cosmetics 250 00:15:35,720 --> 00:15:37,720 Speaker 1: and beauty products. We don't have to worry so much 251 00:15:37,760 --> 00:15:40,200 Speaker 1: about the safety because we know that these things are 252 00:15:40,320 --> 00:15:43,400 Speaker 1: natural and okay for us, unless, of course, we have 253 00:15:43,400 --> 00:15:48,120 Speaker 1: an allergic reaction. And there are other efforts underway to 254 00:15:48,240 --> 00:15:52,360 Speaker 1: look into in vitro methods using human cells, cell line, 255 00:15:52,440 --> 00:15:57,120 Speaker 1: or cellular components to test on that smaller cellular basis, 256 00:15:57,200 --> 00:16:01,000 Speaker 1: rather than having to test an entire living organism like 257 00:16:01,120 --> 00:16:03,840 Speaker 1: a mouse or a rat or a bird um and 258 00:16:03,880 --> 00:16:08,480 Speaker 1: then looking at genetically genetically engineered rodents for labs. Although 259 00:16:08,520 --> 00:16:10,760 Speaker 1: that's that seems like it's just a different iteration of 260 00:16:10,840 --> 00:16:14,040 Speaker 1: the same thing. Yeah. Well, the whole using human cells 261 00:16:14,280 --> 00:16:16,440 Speaker 1: and human tissue makes sense to me because I mean, 262 00:16:16,880 --> 00:16:20,720 Speaker 1: that's actual people data, not mice data that we somehow 263 00:16:20,720 --> 00:16:24,760 Speaker 1: have to extrapolate and try to infer things from because 264 00:16:24,760 --> 00:16:26,000 Speaker 1: a lot of times, and I mean we'll get into 265 00:16:26,040 --> 00:16:27,840 Speaker 1: this in a second, but a lot of times the 266 00:16:27,880 --> 00:16:30,600 Speaker 1: information you get from a rat or a chimpanzee or 267 00:16:30,640 --> 00:16:33,080 Speaker 1: a rabbit has nothing to do with how an actual 268 00:16:33,160 --> 00:16:35,240 Speaker 1: human being would react to a product, right, I mean, 269 00:16:35,240 --> 00:16:37,680 Speaker 1: and obviously, you know, the closest you could get would 270 00:16:37,720 --> 00:16:40,960 Speaker 1: be through testing on primates. But oh my goodness, if 271 00:16:41,000 --> 00:16:43,040 Speaker 1: we have you know, if there's a moral debate around 272 00:16:43,040 --> 00:16:45,120 Speaker 1: whether or not to test on mice, you can imagine 273 00:16:45,520 --> 00:16:50,240 Speaker 1: the testing on chimpan z s. That's out of the question. Um. 274 00:16:50,360 --> 00:16:52,760 Speaker 1: But yeah, Caroline, it's such a good point about the 275 00:16:52,800 --> 00:16:57,080 Speaker 1: fact that the number one test subject mice actually do 276 00:16:57,200 --> 00:17:03,040 Speaker 1: make for terrible human comparisons in in a lot of ways. Yeah, 277 00:17:03,120 --> 00:17:07,560 Speaker 1: this is coming from a Slate article on February thirteen 278 00:17:08,200 --> 00:17:11,440 Speaker 1: of this year. A study in the Proceedings of the 279 00:17:11,520 --> 00:17:14,280 Speaker 1: National Academy of Sciences found that among one hundred and 280 00:17:14,320 --> 00:17:17,760 Speaker 1: fifty potential treatments for severe inflammation that we're tested on 281 00:17:17,800 --> 00:17:21,200 Speaker 1: mice and that actually ended up helping the mice, none 282 00:17:21,200 --> 00:17:24,600 Speaker 1: of them had a positive result in human trials. Now, 283 00:17:24,600 --> 00:17:27,679 Speaker 1: they focused on inflammation just because that's what the researchers 284 00:17:27,680 --> 00:17:30,200 Speaker 1: themselves were focused on. It was interesting to read about 285 00:17:30,200 --> 00:17:33,520 Speaker 1: how what a difficult time they had getting this study published, 286 00:17:33,560 --> 00:17:36,160 Speaker 1: just because everybody's like, whoa, whoa, whoa, whoa, whoa. All 287 00:17:36,200 --> 00:17:39,400 Speaker 1: of our studies come from people who who practice on mice, 288 00:17:39,440 --> 00:17:42,040 Speaker 1: so we don't want to have like negative news out there. 289 00:17:42,560 --> 00:17:44,920 Speaker 1: But yeah, they found that there were not many similarities 290 00:17:44,960 --> 00:17:47,600 Speaker 1: between mouse and human data at all, including, you know, 291 00:17:47,640 --> 00:17:51,840 Speaker 1: the genes involved in each species inflammation, the molecules or 292 00:17:51,920 --> 00:17:55,439 Speaker 1: kinds of signaling that goes on inside cells, and the 293 00:17:55,480 --> 00:17:58,080 Speaker 1: correlation between mice and people. They said it was close 294 00:17:58,119 --> 00:18:01,080 Speaker 1: to zero. Now, in two thousand eight, there was another 295 00:18:01,160 --> 00:18:05,920 Speaker 1: paper that was also published in Penus Penus that identified 296 00:18:05,960 --> 00:18:09,080 Speaker 1: a hundred and twenty genes that are vital to human survival. Now, 297 00:18:09,119 --> 00:18:13,000 Speaker 1: of those, caroline just three turned out to also be 298 00:18:13,200 --> 00:18:17,600 Speaker 1: essential in mice. You might say, oh, that's still a 299 00:18:17,640 --> 00:18:21,640 Speaker 1: pretty significant that that's a jump. And the conclusion they 300 00:18:21,680 --> 00:18:24,520 Speaker 1: came to they said, it is possible that mouse models 301 00:18:24,560 --> 00:18:27,480 Speaker 1: of a large number of human diseases will not yield 302 00:18:28,040 --> 00:18:33,120 Speaker 1: sufficiently accurate information, although they might provide some basic knowledge. 303 00:18:33,200 --> 00:18:37,879 Speaker 1: So the uncomfortable conclusion that this reaches is that maybe 304 00:18:37,960 --> 00:18:40,760 Speaker 1: we need to find a better model for humans, which 305 00:18:40,800 --> 00:18:44,480 Speaker 1: is why things like testing those human cells or cell 306 00:18:44,600 --> 00:18:48,040 Speaker 1: lines could be a better alternative. But also there's a 307 00:18:48,080 --> 00:18:50,040 Speaker 1: whole issue raised of like, well, okay, well, let's keep 308 00:18:50,119 --> 00:18:52,040 Speaker 1: using mice if you want to use mice, but let's 309 00:18:52,080 --> 00:18:55,040 Speaker 1: look at what makes them so great at fighting certain 310 00:18:55,040 --> 00:18:58,959 Speaker 1: conditions or why didn't they suffer the inflammation that we 311 00:18:59,000 --> 00:19:02,680 Speaker 1: did under the certain condition, Because it's interesting, like all 312 00:19:02,760 --> 00:19:05,480 Speaker 1: the all the different types of humans that were tested, 313 00:19:05,920 --> 00:19:09,520 Speaker 1: they all responded the same, but all of the different 314 00:19:09,520 --> 00:19:12,720 Speaker 1: types of mice did not. I mean, I'm painting that 315 00:19:12,800 --> 00:19:15,119 Speaker 1: with a broad brush and the very vague language, but 316 00:19:15,200 --> 00:19:17,320 Speaker 1: all of that to say, like, okay, well why weren't 317 00:19:17,320 --> 00:19:19,359 Speaker 1: the mice responding in the way the people did. So 318 00:19:19,440 --> 00:19:22,240 Speaker 1: look at that as a solution maybe instead of trying 319 00:19:22,280 --> 00:19:25,240 Speaker 1: to make, as that Slate writer said, you know, make 320 00:19:25,280 --> 00:19:28,200 Speaker 1: mice just a terrible model for humans. Right, And because 321 00:19:28,200 --> 00:19:31,639 Speaker 1: it it seems like the research has been definitely lacking 322 00:19:31,640 --> 00:19:33,520 Speaker 1: over the past thirty years, because there are only a 323 00:19:33,520 --> 00:19:36,399 Speaker 1: dozen or so scholars who have even explored the question 324 00:19:36,440 --> 00:19:42,399 Speaker 1: of how often animal tests predict side effects in humans. 325 00:19:42,880 --> 00:19:44,679 Speaker 1: Because the thing is too if you think about it, 326 00:19:44,800 --> 00:19:46,600 Speaker 1: with a lot of these sets that are going on. 327 00:19:47,160 --> 00:19:49,560 Speaker 1: If it hurts the animal, of course it's going to 328 00:19:49,640 --> 00:19:54,440 Speaker 1: get shelved when the problems might actually be irrelevant in humans. 329 00:19:54,440 --> 00:19:56,959 Speaker 1: But then there are cases when it doesn't cause problems 330 00:19:56,920 --> 00:20:02,160 Speaker 1: when animals, but hurts or even kill people sometimes. Yeah, 331 00:20:02,160 --> 00:20:04,720 Speaker 1: And an example of that is that there was a 332 00:20:04,760 --> 00:20:07,680 Speaker 1: test in March two thousand six were Lendon clinicians injected 333 00:20:07,760 --> 00:20:10,960 Speaker 1: six volunteers with tiny doses of an experimental treatment for 334 00:20:11,000 --> 00:20:17,280 Speaker 1: rheumatoid arthritis and multiple sclerosis. It had been given to mice, rats, rabbits, 335 00:20:17,320 --> 00:20:21,200 Speaker 1: and monkeys, all with no ill effects, but within minutes 336 00:20:21,200 --> 00:20:23,640 Speaker 1: of being injected, the human subjects were on the floor 337 00:20:23,880 --> 00:20:27,119 Speaker 1: writhing in pain. They all had to be hospitalized. Some 338 00:20:27,160 --> 00:20:30,280 Speaker 1: people's organ systems were shutting down. People had all sorts 339 00:20:30,320 --> 00:20:34,480 Speaker 1: of terrible things happening to them. So really it's kind 340 00:20:34,480 --> 00:20:36,800 Speaker 1: of it almost seems like a crap shoot. Well, and 341 00:20:36,800 --> 00:20:39,080 Speaker 1: and this is not to say that, you know, animal 342 00:20:39,119 --> 00:20:41,760 Speaker 1: testing has been totally pointless. Obviously, it's paved the way 343 00:20:41,760 --> 00:20:45,199 Speaker 1: for things like polio and hepatitis B vaccines, a medical 344 00:20:45,280 --> 00:20:49,679 Speaker 1: procedures like measuring blood pressure pacemaker's heart and lung machine 345 00:20:49,760 --> 00:20:54,480 Speaker 1: surgery techniques like those too correct and prevent bone diseases. Um. 346 00:20:54,680 --> 00:20:57,000 Speaker 1: But at the same time, it seems like where we 347 00:20:57,040 --> 00:20:59,639 Speaker 1: are now in two thousand thirteen, we were a long 348 00:20:59,760 --> 00:21:05,639 Speaker 1: way away from lash Lure days. And I'm going to 349 00:21:05,720 --> 00:21:08,400 Speaker 1: be curious to hear from people who are listening, who 350 00:21:08,480 --> 00:21:11,760 Speaker 1: are in you know, maybe lab technicians or in science 351 00:21:11,800 --> 00:21:14,080 Speaker 1: doing this kind of research where anial testing comes up 352 00:21:14,480 --> 00:21:16,639 Speaker 1: a lot, and wondering whether or not these kind of 353 00:21:16,640 --> 00:21:20,159 Speaker 1: conversations are happening, and what whether it is time to 354 00:21:20,240 --> 00:21:23,480 Speaker 1: move beyond the mouse model. I mean, I know in 355 00:21:23,520 --> 00:21:28,280 Speaker 1: a lot of ways this conversation might seem like an oversimplification, 356 00:21:29,040 --> 00:21:32,720 Speaker 1: but we take so much of what we get from 357 00:21:32,760 --> 00:21:35,320 Speaker 1: all of this for granted. I think it's worth looking 358 00:21:35,359 --> 00:21:38,760 Speaker 1: at the actual process of of what is going into 359 00:21:39,359 --> 00:21:42,480 Speaker 1: to keeping our products safe are and are they really 360 00:21:42,920 --> 00:21:44,679 Speaker 1: that safe because we haven't even touched on and I'm 361 00:21:44,720 --> 00:21:46,639 Speaker 1: sure people were right in about you know, the the 362 00:21:46,800 --> 00:21:50,120 Speaker 1: basic you know, kind of nasty chemicals that people keep 363 00:21:50,119 --> 00:21:53,879 Speaker 1: finding out about that are in pretty much everything surrounding it. 364 00:21:54,000 --> 00:21:56,239 Speaker 1: I mean, there's a whole lichee of cruelty free like 365 00:21:56,400 --> 00:21:59,840 Speaker 1: will will do anything if I buy cruelty free products, 366 00:21:59,840 --> 00:22:01,560 Speaker 1: and those are a lot of the products that say, okay, 367 00:22:01,600 --> 00:22:04,439 Speaker 1: they were not tested on animals. We have the leaping 368 00:22:04,440 --> 00:22:06,840 Speaker 1: bunny logo to signify that, you know, none of this 369 00:22:06,960 --> 00:22:09,879 Speaker 1: was tested on animals. But then there's a whole bunch 370 00:22:09,880 --> 00:22:13,560 Speaker 1: of literature out there that talks about how, well, okay, 371 00:22:13,560 --> 00:22:16,760 Speaker 1: maybe the final product wasn't tested on an animal, but 372 00:22:16,800 --> 00:22:20,080 Speaker 1: that doesn't mean all the ingredients weren't or weren't at 373 00:22:20,119 --> 00:22:23,560 Speaker 1: some point tested on animals. It reminds me so much 374 00:22:23,920 --> 00:22:28,600 Speaker 1: of the difficulty that has come up with the organic 375 00:22:28,840 --> 00:22:31,479 Speaker 1: label for food of people being able to say, oh, 376 00:22:31,520 --> 00:22:35,160 Speaker 1: this is organic, wink wink, and then still having some 377 00:22:35,280 --> 00:22:39,280 Speaker 1: kinds of pesticides. It's not necessarily all natural that you 378 00:22:39,280 --> 00:22:44,800 Speaker 1: can still say organic. Um, yeah, it's it's it's messy. 379 00:22:45,160 --> 00:22:49,960 Speaker 1: It does get messy, I can honestly, I'll admit it. Uh, 380 00:22:49,960 --> 00:22:51,880 Speaker 1: that is not something that I consider when I buy 381 00:22:52,320 --> 00:22:56,400 Speaker 1: products as to whether it's tested on animals. But I know, yeah, 382 00:22:56,400 --> 00:22:58,159 Speaker 1: but I know that it's something that a lot of 383 00:22:58,240 --> 00:23:01,679 Speaker 1: listeners are concerned about, and I do want to go 384 00:23:01,760 --> 00:23:05,520 Speaker 1: back again and do something more looking into why women 385 00:23:05,600 --> 00:23:10,920 Speaker 1: do tend to be more devoted to or concerned about 386 00:23:11,520 --> 00:23:15,920 Speaker 1: animal testing compared to two men out there, and whether, 387 00:23:16,000 --> 00:23:17,960 Speaker 1: I don't know, I wonder if, along the same lines 388 00:23:18,040 --> 00:23:22,040 Speaker 1: as thinking about organics for food um, whether or not 389 00:23:22,160 --> 00:23:25,560 Speaker 1: moms might be more invested in in non animal tested 390 00:23:25,600 --> 00:23:29,720 Speaker 1: products as well. So what I'm saying is, listeners, we 391 00:23:29,760 --> 00:23:32,520 Speaker 1: want to hear from you about this. We wanted to 392 00:23:32,560 --> 00:23:35,520 Speaker 1: do this because of the the EU band that's about 393 00:23:35,560 --> 00:23:37,400 Speaker 1: to go in place, and it'll be interesting to see 394 00:23:37,440 --> 00:23:41,280 Speaker 1: if there's any kind of ripple effect in the United States. 395 00:23:42,040 --> 00:23:45,199 Speaker 1: So send us your letters on this mom stuff. At 396 00:23:45,200 --> 00:23:51,760 Speaker 1: Discovery dot com is where you can send them. Well, 397 00:23:51,800 --> 00:23:54,960 Speaker 1: I've got one here from Joe in response to our 398 00:23:55,000 --> 00:23:58,159 Speaker 1: episode for Valentine's Day on whether p d A is okay, 399 00:23:58,200 --> 00:24:01,080 Speaker 1: and she had an instance when PDA was totally not 400 00:24:01,240 --> 00:24:06,160 Speaker 1: okay because she got a social kiss at work. She says, 401 00:24:06,200 --> 00:24:08,080 Speaker 1: Over the past few months, I've had four or five 402 00:24:08,080 --> 00:24:10,560 Speaker 1: meetings with a guy wanting my company to invest in 403 00:24:10,600 --> 00:24:13,439 Speaker 1: his product. We got on well, seemed to connect at 404 00:24:13,480 --> 00:24:16,280 Speaker 1: an innovation level, and things were looking strong. That is 405 00:24:16,400 --> 00:24:20,080 Speaker 1: until the last meeting. As I was walking him out 406 00:24:20,080 --> 00:24:22,520 Speaker 1: of my office, I extended my hand for a handshake 407 00:24:22,840 --> 00:24:25,480 Speaker 1: and got pulled in for a really awful kiss on 408 00:24:25,520 --> 00:24:28,280 Speaker 1: the cheek. The whole thing was ikey and uncomfortable and 409 00:24:28,280 --> 00:24:30,560 Speaker 1: made me question if we connected because of a shared 410 00:24:30,600 --> 00:24:34,400 Speaker 1: love for innovation or if he had additional thoughts. After 411 00:24:34,440 --> 00:24:37,040 Speaker 1: discussing it length with my colleagues, we've declared his behavior 412 00:24:37,119 --> 00:24:40,800 Speaker 1: creepy and unprofessional. As a woman in a male dominated industry, 413 00:24:40,840 --> 00:24:43,480 Speaker 1: I worked hard to make gender and non issue, but 414 00:24:43,560 --> 00:24:46,480 Speaker 1: this would be supplier. Probably would have never social kissed 415 00:24:46,560 --> 00:24:49,760 Speaker 1: one of my male colleagues, and I agree with that. 416 00:24:49,880 --> 00:24:54,200 Speaker 1: Joe mh. Just put up your hand really fast so 417 00:24:54,240 --> 00:24:58,639 Speaker 1: that it awkwardly kisses the palm of your hand. Dominance 418 00:25:00,040 --> 00:25:04,399 Speaker 1: face mush, Okay, here's the Here's one from Aaron. She 419 00:25:04,440 --> 00:25:08,439 Speaker 1: said she just finished our pro Lapsed Uterus episode Kristen 420 00:25:08,600 --> 00:25:12,160 Speaker 1: one of my face Yeah obviously a listener faith too, 421 00:25:12,400 --> 00:25:16,399 Speaker 1: for sure. Um didn't give anyone nightmares, but she says 422 00:25:16,520 --> 00:25:20,240 Speaker 1: I was frantically doing kegle exercises pretty much throughout the episode. 423 00:25:20,480 --> 00:25:22,600 Speaker 1: While there is not really a wrong way to do kegles, 424 00:25:22,640 --> 00:25:24,919 Speaker 1: I found myself with poor timing control, and in this 425 00:25:24,960 --> 00:25:27,800 Speaker 1: world of unrolled the toilet paper apps, I thought that 426 00:25:27,840 --> 00:25:30,600 Speaker 1: there must be an app for Cagle exercises, and of 427 00:25:30,640 --> 00:25:33,360 Speaker 1: course there was a plethora to choose from. I ended 428 00:25:33,440 --> 00:25:36,880 Speaker 1: up downloading the free Kegel cat out of sheer curiosity. 429 00:25:37,200 --> 00:25:40,080 Speaker 1: It is fantastic. You can set up how many reps, 430 00:25:40,160 --> 00:25:42,920 Speaker 1: the duration of each rep, and the rest period duration. 431 00:25:43,240 --> 00:25:47,120 Speaker 1: I hope you're wearing sweatbands. Erin sounds difficult, a very 432 00:25:47,160 --> 00:25:50,119 Speaker 1: anime s cat with a sweatband times or routine with 433 00:25:50,200 --> 00:25:53,680 Speaker 1: differently pitched muse It is a tag bit ridiculous, but 434 00:25:53,800 --> 00:25:57,200 Speaker 1: keeps me on track more or less because it is ridiculous. 435 00:25:57,480 --> 00:25:59,959 Speaker 1: It also features an endless kegel mode as well as 436 00:26:00,040 --> 00:26:02,440 Speaker 1: a dance mode that you'll just have to check out 437 00:26:02,480 --> 00:26:06,440 Speaker 1: for yourselves. She says, I have no words that would 438 00:26:06,480 --> 00:26:12,800 Speaker 1: give it frenetic absurdity justice. So thank you Aaron Cagles. 439 00:26:12,840 --> 00:26:16,200 Speaker 1: There's an app for that. So thanks to everyone who 440 00:26:16,200 --> 00:26:19,600 Speaker 1: has written into mom Stuff at discovery dot com, which 441 00:26:19,600 --> 00:26:21,359 Speaker 1: of course is where you can send your letters. You 442 00:26:21,400 --> 00:26:23,600 Speaker 1: can also find us on Facebook, leave us a message 443 00:26:23,600 --> 00:26:25,679 Speaker 1: there and like us while you're at it. Follow us 444 00:26:25,720 --> 00:26:28,639 Speaker 1: on Twitter at Mom's Stuff podcast, and follow us on 445 00:26:28,720 --> 00:26:31,080 Speaker 1: Tumbler as well, and Stuff Mom Never Told You dot 446 00:26:31,119 --> 00:26:34,720 Speaker 1: tumblr dot com. And if you want to learn more 447 00:26:34,720 --> 00:26:38,000 Speaker 1: about the science of animals and animal testing and all 448 00:26:38,040 --> 00:26:42,199 Speaker 1: of those products that we get out of those laboratories, 449 00:26:42,600 --> 00:26:45,680 Speaker 1: well you can probably guess here to go. It's how 450 00:26:45,720 --> 00:26:51,480 Speaker 1: stuff works dot com for more on this and thousands 451 00:26:51,480 --> 00:26:58,760 Speaker 1: of other topics. Does it how stuff works dot com