1 00:00:00,320 --> 00:00:02,920 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,200 --> 00:00:10,000 Speaker 1: It's ready. Are you welcome to stuff Mom never told you? 3 00:00:10,200 --> 00:00:18,400 Speaker 1: From House Stepworks dot Com. Hello, and welcome to the podcast. 4 00:00:18,480 --> 00:00:22,760 Speaker 1: I'm Kristen and I'm Caroline, and may I also say 5 00:00:23,320 --> 00:00:28,520 Speaker 1: Happy Valentine's Day. Eve. Wait, thank you? You welcome? Are 6 00:00:28,520 --> 00:00:31,560 Speaker 1: you gonna get me anything? Um, I'm gonna give you 7 00:00:32,280 --> 00:00:36,080 Speaker 1: a podcast straight from the heart. Oh yeah, well we 8 00:00:36,159 --> 00:00:39,080 Speaker 1: better get started then, yeah. Uh. And today we're going 9 00:00:39,120 --> 00:00:45,080 Speaker 1: to talk about flowers, because it is the typical Valentine's 10 00:00:45,159 --> 00:00:48,800 Speaker 1: Day gift from one beloved to another or just to 11 00:00:48,840 --> 00:00:53,000 Speaker 1: a friend. My dad sometimes will send me flowers on 12 00:00:53,080 --> 00:00:56,800 Speaker 1: Valentine's Day, which is always a kind gesture. Um. But 13 00:00:57,000 --> 00:01:00,240 Speaker 1: Valentine's Day also reminds me of high school because is 14 00:01:00,560 --> 00:01:03,280 Speaker 1: I don't know how your school worked, Caroline, but mine 15 00:01:03,360 --> 00:01:06,760 Speaker 1: it was a really big deal, and it was a 16 00:01:06,800 --> 00:01:11,480 Speaker 1: big deal that made me probably unnecessarily so, but it 17 00:01:11,600 --> 00:01:15,520 Speaker 1: made me really uncomfortable because there was this competitive edge 18 00:01:15,840 --> 00:01:23,119 Speaker 1: too Valentine's Day because the whole week or two beforehand, 19 00:01:23,959 --> 00:01:26,959 Speaker 1: kids would go around whatever kind of like class officers 20 00:01:26,959 --> 00:01:30,720 Speaker 1: would go around and they would sell carnations, for a 21 00:01:30,880 --> 00:01:35,640 Speaker 1: dollar that you could give to other classmates. So obviously 22 00:01:35,880 --> 00:01:39,640 Speaker 1: all little high school sweethearts would give each other carnations 23 00:01:39,880 --> 00:01:42,680 Speaker 1: and you would either get them in white for friendship, 24 00:01:43,440 --> 00:01:47,840 Speaker 1: pink for love, and read for passion. In high school, yeah, 25 00:01:47,880 --> 00:01:50,520 Speaker 1: and so you always kept your fingers crossed that your 26 00:01:50,520 --> 00:01:52,400 Speaker 1: crush was going to give you a red one, that 27 00:01:52,400 --> 00:01:55,320 Speaker 1: there would be a random red rope or credit scene. Yeah, 28 00:01:55,480 --> 00:02:00,520 Speaker 1: random carnation, uh, sitting in your locker. The most popular 29 00:02:00,760 --> 00:02:07,000 Speaker 1: kids would have collected just a bundle of carnations by 30 00:02:07,040 --> 00:02:12,519 Speaker 1: the end of the day. So yeah, I really those 31 00:02:12,680 --> 00:02:16,840 Speaker 1: that kind of obvious competition where you can count up 32 00:02:16,880 --> 00:02:20,280 Speaker 1: your number of friends and lovers always really put me 33 00:02:20,320 --> 00:02:24,960 Speaker 1: on edge. So that's what I associate valca'see with cheap 34 00:02:25,000 --> 00:02:30,560 Speaker 1: carnations and high school angst. Interesting, I said, see, And 35 00:02:30,600 --> 00:02:33,200 Speaker 1: it was buying a new shirt with a heart on 36 00:02:33,240 --> 00:02:35,799 Speaker 1: it every year, wearing it to school. Do you wear 37 00:02:35,880 --> 00:02:39,760 Speaker 1: Valentine's themed clothes? Not anymore? But now we um in 38 00:02:40,160 --> 00:02:41,880 Speaker 1: well know, I'm sorry. That was middle school and middle 39 00:02:41,880 --> 00:02:44,600 Speaker 1: school we had we had dances, and so I would 40 00:02:44,639 --> 00:02:49,800 Speaker 1: always buy like a heart themed T shirt because I 41 00:02:49,880 --> 00:02:52,480 Speaker 1: was really cool like that. And now we just have 42 00:02:53,360 --> 00:02:57,960 Speaker 1: those celebrity montage movies that we can watch by ourselves 43 00:02:58,120 --> 00:03:02,320 Speaker 1: with the bottle of wine at a terrible movie. Valentine's Day, obviously, 44 00:03:02,560 --> 00:03:07,080 Speaker 1: is one of the largest days in the floral industry, 45 00:03:07,320 --> 00:03:12,720 Speaker 1: seconded only by Mother's Day. And just to give a 46 00:03:12,800 --> 00:03:17,240 Speaker 1: hint of how we're going to turn this Valentine's bouquet 47 00:03:17,480 --> 00:03:24,680 Speaker 1: into a withered handful of terrifying facts. Um, we know 48 00:03:24,720 --> 00:03:28,520 Speaker 1: the vald Tine's Day is really really booming for the 49 00:03:28,520 --> 00:03:31,920 Speaker 1: floral industry because women on the plantations in Africa and 50 00:03:31,960 --> 00:03:35,880 Speaker 1: South America harvesting all those flowers have been working up 51 00:03:35,920 --> 00:03:39,440 Speaker 1: to sixty hours a week in preparation for it. Some 52 00:03:39,520 --> 00:03:42,160 Speaker 1: of the flower farms in South America triple the number 53 00:03:42,200 --> 00:03:45,880 Speaker 1: of workers, most of them women, leading up to Valentine's Day. 54 00:03:45,960 --> 00:03:50,040 Speaker 1: So yeah, January, February, March late and lead you know 55 00:03:50,120 --> 00:03:52,520 Speaker 1: then leading up to Mother's Day. It's big business. Yeah, 56 00:03:52,680 --> 00:03:55,720 Speaker 1: just I mean, if that doesn't doesn't warm your heart 57 00:03:55,960 --> 00:04:00,960 Speaker 1: for this romantic occasion. But let's go back to a 58 00:04:01,120 --> 00:04:06,520 Speaker 1: simpler time. Yes, the Victorian era, so simple and yet 59 00:04:06,600 --> 00:04:11,760 Speaker 1: so repressed, and that's what leads us to floriography, which 60 00:04:11,920 --> 00:04:16,200 Speaker 1: is the language of flowers, and in the Victorian area era, 61 00:04:16,279 --> 00:04:20,400 Speaker 1: excuse me, it was really popular to give flowers that 62 00:04:20,480 --> 00:04:23,120 Speaker 1: had meaning. You know, you've all I feel like everybody's 63 00:04:23,120 --> 00:04:25,160 Speaker 1: heard about you know, different flowers have different meanings, and 64 00:04:25,240 --> 00:04:27,719 Speaker 1: you know you mentioned the different colors of carnations, the 65 00:04:27,760 --> 00:04:31,360 Speaker 1: same thing for roses. Different rose colors have meaning everything 66 00:04:31,440 --> 00:04:36,200 Speaker 1: from from sympathy and remembrance to love and passion. Well, 67 00:04:36,200 --> 00:04:40,720 Speaker 1: in the Victorian era, you know, emotions that couldn't be vocalized. 68 00:04:41,080 --> 00:04:42,760 Speaker 1: You know, you couldn't just walk up to somebody be like, 69 00:04:42,839 --> 00:04:45,520 Speaker 1: I love you. I mean, maybe you could if you 70 00:04:45,720 --> 00:04:49,400 Speaker 1: were like that, if you were very full award um. 71 00:04:49,440 --> 00:04:54,400 Speaker 1: But people tended to give their their their crush or 72 00:04:54,440 --> 00:04:59,400 Speaker 1: whatever um a bouquet that meant something, and everything from 73 00:04:59,560 --> 00:05:02,080 Speaker 1: the flower ors themselves down to the way you handed 74 00:05:02,120 --> 00:05:05,440 Speaker 1: the bouquet over meant something. So the way you tied 75 00:05:05,480 --> 00:05:08,320 Speaker 1: the bow, the hand you used, and God forbid you 76 00:05:08,360 --> 00:05:11,560 Speaker 1: handed the bouquet over upside down, that was just what 77 00:05:11,839 --> 00:05:15,039 Speaker 1: that meant, the opposite of what the flowers were supposed 78 00:05:15,080 --> 00:05:19,920 Speaker 1: to mean. You give someone an opposite day bouquet, fairly 79 00:05:20,320 --> 00:05:22,880 Speaker 1: fairly opposite Day's been around a lot longer than I thought, 80 00:05:23,120 --> 00:05:26,440 Speaker 1: I mean talk about salt in the wound, I know, 81 00:05:26,920 --> 00:05:30,120 Speaker 1: but okay, so so every you know, bouquets of flowers 82 00:05:30,160 --> 00:05:32,640 Speaker 1: had a lot of meaning, and Beverly Seaton, in her 83 00:05:32,680 --> 00:05:35,960 Speaker 1: book The Language of Flowers History, talks about how home 84 00:05:36,000 --> 00:05:39,799 Speaker 1: manuals of the time illustrated very elaborate arrangements of cut flowers. 85 00:05:39,880 --> 00:05:42,080 Speaker 1: So if you were high falutin, if you were in 86 00:05:42,160 --> 00:05:45,000 Speaker 1: high society, you were expected to have a lot of 87 00:05:45,080 --> 00:05:47,239 Speaker 1: cut flowers in your home. But not just in faces, 88 00:05:47,720 --> 00:05:49,880 Speaker 1: not just going to the store and putting them in 89 00:05:49,920 --> 00:05:51,760 Speaker 1: a glass of water. Now, you were expected to have 90 00:05:51,839 --> 00:05:54,800 Speaker 1: these elaborate arrangements because you were expected to either have 91 00:05:55,000 --> 00:05:58,919 Speaker 1: the um the help around your house to help you 92 00:05:59,040 --> 00:06:00,800 Speaker 1: arrange them, or you were expected to take the time 93 00:06:00,839 --> 00:06:04,000 Speaker 1: to do it yourself to have these beautiful floral arrangements 94 00:06:04,000 --> 00:06:06,440 Speaker 1: in your home. And this also wasn't just a product 95 00:06:06,480 --> 00:06:09,800 Speaker 1: of Western domesticity. It reminds me of ikubana, which is 96 00:06:09,839 --> 00:06:13,400 Speaker 1: the Japanese art of flower arranging, which is one of 97 00:06:13,440 --> 00:06:18,159 Speaker 1: the typical skills acquired by geishas. Yeah, it's it was 98 00:06:18,200 --> 00:06:22,960 Speaker 1: definitely uh also seen as a womanly pursuit. But I 99 00:06:23,000 --> 00:06:25,960 Speaker 1: want to know what some flowers mean if you were 100 00:06:26,040 --> 00:06:29,400 Speaker 1: to give me a special bouquet, if I were to 101 00:06:29,440 --> 00:06:31,960 Speaker 1: give you an iris, it would mean that I had faith, 102 00:06:31,960 --> 00:06:34,880 Speaker 1: hope and wisdom in you, or hoped to impart that 103 00:06:35,360 --> 00:06:38,520 Speaker 1: to you. Carnations, which there's a lot of talk of 104 00:06:38,520 --> 00:06:40,440 Speaker 1: carnations and sex in the city, and we'll go into it, 105 00:06:40,720 --> 00:06:45,440 Speaker 1: but carnations symbolize love and fascination, and there's a difference 106 00:06:45,480 --> 00:06:48,960 Speaker 1: between a striped carnation and a solid one. But I 107 00:06:49,000 --> 00:06:51,440 Speaker 1: can't recall that. One of my favorite flowers is the 108 00:06:51,480 --> 00:06:54,160 Speaker 1: gerber A daisy, and there's you know, a million different colors. 109 00:06:54,200 --> 00:06:59,080 Speaker 1: Those signify beauty, innocence, and cheerfulness. Yeah, you're all three 110 00:06:59,160 --> 00:07:03,880 Speaker 1: of those right up in a daisy, Caroline blushing. Um, 111 00:07:03,920 --> 00:07:06,440 Speaker 1: it's actually the Gerbera daisy is the fifth most popular 112 00:07:06,480 --> 00:07:09,920 Speaker 1: flower in the world, in the whole world, and according 113 00:07:09,960 --> 00:07:14,680 Speaker 1: to literature, it was discovered in eighty four by a 114 00:07:14,760 --> 00:07:18,200 Speaker 1: Scotsman in South Africa, even though I'm pretty sure other 115 00:07:18,240 --> 00:07:22,920 Speaker 1: people had probably seen the flower before. But yeah, the 116 00:07:22,920 --> 00:07:25,160 Speaker 1: Gerbera daisy as we know it today, and it's been 117 00:07:25,280 --> 00:07:27,200 Speaker 1: bread and mixed. Said that, that's why we have so 118 00:07:27,200 --> 00:07:32,120 Speaker 1: many colors and orchids rare and delicate beauty roses of 119 00:07:32,160 --> 00:07:35,040 Speaker 1: course love and appreciation, and they range like I said, 120 00:07:35,240 --> 00:07:40,040 Speaker 1: red is love, pink, admiration, etcetera, etcetera. So the floral 121 00:07:40,200 --> 00:07:44,120 Speaker 1: industry traces all the way back to the seventeenth and 122 00:07:44,240 --> 00:07:49,160 Speaker 1: eighteenth century. Uh. It's starting off, not surprisingly in the 123 00:07:49,200 --> 00:07:52,920 Speaker 1: Netherlands with the development of greenhouses, and that practice then 124 00:07:53,440 --> 00:07:58,640 Speaker 1: is taken to the United States. Um And one fun 125 00:07:58,680 --> 00:08:03,000 Speaker 1: fact about the the Netherlands are all known for their tulips, 126 00:08:03,040 --> 00:08:07,880 Speaker 1: and tulip comes from the Turkish word for durban really 127 00:08:08,160 --> 00:08:12,280 Speaker 1: because it was initially um taken from Central Asia and 128 00:08:12,320 --> 00:08:16,080 Speaker 1: then across to Holland. I do love a good tulip, 129 00:08:16,120 --> 00:08:19,280 Speaker 1: and I don't mean turban, I mean tulip um. Yeah. 130 00:08:19,320 --> 00:08:22,400 Speaker 1: The industry really grew in America with the advent of 131 00:08:22,520 --> 00:08:25,920 Speaker 1: air transport and refrigerated trucks, so now you could take 132 00:08:25,960 --> 00:08:28,360 Speaker 1: them much longer distances in a short amount of time. 133 00:08:28,720 --> 00:08:30,680 Speaker 1: You didn't have to worry about them, Wilton, because flowers 134 00:08:30,680 --> 00:08:32,880 Speaker 1: pretty much have to be kept around thirty four degrees 135 00:08:32,920 --> 00:08:36,920 Speaker 1: basically right about freezing when they're being transported. And in 136 00:08:37,000 --> 00:08:39,160 Speaker 1: the mid nineteen sixties, you know, we've got all the 137 00:08:39,200 --> 00:08:41,240 Speaker 1: development of where where this industry is moving. And in 138 00:08:41,280 --> 00:08:45,319 Speaker 1: the mid nineteen sixties the first carnation production started in Bogata, Columbia, 139 00:08:46,080 --> 00:08:49,520 Speaker 1: an area that offered great light and temperature, not to 140 00:08:49,600 --> 00:08:54,360 Speaker 1: mention low production costs compared with North America. UM and 141 00:08:54,640 --> 00:08:58,000 Speaker 1: large fail US producers are hard hit by all of 142 00:08:58,040 --> 00:09:01,720 Speaker 1: the flowers that are being import it and the floral industry, 143 00:09:01,840 --> 00:09:05,000 Speaker 1: like so many other industries here in the States, has 144 00:09:05,160 --> 00:09:13,920 Speaker 1: largely been outsourced. UM California produces of the domestic flowers 145 00:09:13,960 --> 00:09:19,520 Speaker 1: grown here, but it's it's largely moved abroad and UM. 146 00:09:19,679 --> 00:09:23,280 Speaker 1: One place that I did not realize was such a 147 00:09:23,320 --> 00:09:28,240 Speaker 1: major hub of the international floral industry is Kenya. If 148 00:09:28,280 --> 00:09:31,080 Speaker 1: you live in the EU, if you're listening right now 149 00:09:31,320 --> 00:09:35,280 Speaker 1: in the UK, hello, talking directly to you. If you 150 00:09:35,360 --> 00:09:38,120 Speaker 1: have If you're looking right now at a vase of flowers, 151 00:09:38,600 --> 00:09:43,439 Speaker 1: British friends and Irish friends and Welsh ones too, chances 152 00:09:43,480 --> 00:09:47,120 Speaker 1: are they came from Kenya. Now, if Caroline and I 153 00:09:47,200 --> 00:09:49,760 Speaker 1: here in the States, we're looking at some some flowers 154 00:09:49,760 --> 00:09:53,280 Speaker 1: and fresh cut well not so fresh cut roses, they 155 00:09:53,360 --> 00:09:57,640 Speaker 1: be coming from South America. But Kenya supplies of all 156 00:09:57,679 --> 00:10:02,560 Speaker 1: the flowers sold in the EU right, and there's a 157 00:10:02,559 --> 00:10:04,920 Speaker 1: lot of talk about as you can expect, there's a 158 00:10:04,960 --> 00:10:07,600 Speaker 1: lot of talk about the environmental impact of importing all 159 00:10:07,600 --> 00:10:13,000 Speaker 1: of these flowers. UM. But it's interesting that UM twelve 160 00:10:13,120 --> 00:10:18,560 Speaker 1: thousand Kenyon roses that creates raising them, you know, whatever, 161 00:10:18,679 --> 00:10:22,640 Speaker 1: growing them, that creates third two hundred pounds of carbon 162 00:10:22,679 --> 00:10:27,440 Speaker 1: dioxide released from from the growth of these roses. The 163 00:10:27,520 --> 00:10:31,280 Speaker 1: equivalent number of Dutch roses releases seventy seven thousand, one 164 00:10:31,360 --> 00:10:35,480 Speaker 1: hundred and sixty pounds of c O two because they 165 00:10:35,480 --> 00:10:38,880 Speaker 1: require all that artificial light, heat and cooling over the 166 00:10:39,120 --> 00:10:41,840 Speaker 1: eight to twelve week growing period, so you don't have 167 00:10:41,920 --> 00:10:45,600 Speaker 1: the hot sun that's constant in Kenya and in Colombia. 168 00:10:46,160 --> 00:10:48,960 Speaker 1: So while you're you're importing all these roses and you 169 00:10:48,960 --> 00:10:52,160 Speaker 1: you might think it's horrible for various reasons that we 170 00:10:52,240 --> 00:10:56,439 Speaker 1: will get into here shortly. UM. It actually releases less 171 00:10:56,920 --> 00:10:59,200 Speaker 1: uh c O two into the atmosphere because they have 172 00:10:59,280 --> 00:11:04,079 Speaker 1: to tinker with that actual growing environment, less UM which 173 00:11:04,120 --> 00:11:06,560 Speaker 1: would outweigh them the cost I guess of transporting it, 174 00:11:06,720 --> 00:11:10,319 Speaker 1: of producing them and transporting them over UM. And this 175 00:11:10,400 --> 00:11:15,120 Speaker 1: is coming from the Globe and Mail in Canada, imported 176 00:11:15,400 --> 00:11:19,599 Speaker 1: twenty three point five million dollars worth of roses from Columbia, 177 00:11:19,720 --> 00:11:21,880 Speaker 1: and almost a third of all cut flowers sold in 178 00:11:21,920 --> 00:11:26,679 Speaker 1: Canada are imported from Columbia, including fourteen point one million 179 00:11:26,679 --> 00:11:29,680 Speaker 1: dollars worth of carnations and nine point six million dollars 180 00:11:29,720 --> 00:11:35,560 Speaker 1: worth of chrystanthemums. And the government has incentivized uh this 181 00:11:35,760 --> 00:11:40,000 Speaker 1: floral trade between Canada and Columbia because their free trade 182 00:11:40,000 --> 00:11:43,840 Speaker 1: agreement that they recently signed removed a ten point five 183 00:11:43,880 --> 00:11:47,800 Speaker 1: percent tariff on roses. So it's even cheaper now for 184 00:11:47,840 --> 00:11:53,840 Speaker 1: them to bring these flowers way up uh the land, 185 00:11:54,679 --> 00:11:58,400 Speaker 1: way of way up the lands. But we we did 186 00:11:58,440 --> 00:12:02,160 Speaker 1: the same thing in one um. The US really was 187 00:12:02,280 --> 00:12:06,840 Speaker 1: seeking to offset all the coca production in Colombia, and 188 00:12:06,920 --> 00:12:09,280 Speaker 1: so we thought, I mean, I don't know what they thought, 189 00:12:09,360 --> 00:12:11,440 Speaker 1: but they were like, hey, well, let's just have them 190 00:12:11,559 --> 00:12:16,760 Speaker 1: make flowers instead, And so we suspended import duties on 191 00:12:16,800 --> 00:12:20,880 Speaker 1: Colombian flowers. And this was in and just just to 192 00:12:20,960 --> 00:12:24,079 Speaker 1: show you what that did to flower imports in the US, 193 00:12:24,160 --> 00:12:28,080 Speaker 1: in ninety one, the US produced one point to billion 194 00:12:28,440 --> 00:12:32,160 Speaker 1: flowers and imported one hundred million, and in two thousand 195 00:12:32,320 --> 00:12:35,320 Speaker 1: three that totally reversed the US was producing two hundred 196 00:12:35,360 --> 00:12:40,360 Speaker 1: million blooms and imported two billion. That's according to the Smithsonian, 197 00:12:40,440 --> 00:12:42,720 Speaker 1: who took a big look at um the flower trade. 198 00:12:43,160 --> 00:12:47,679 Speaker 1: And now, according to the Society of American Florist, Columbia, 199 00:12:47,880 --> 00:12:52,400 Speaker 1: not so surprisingly is the number one import country of 200 00:12:52,520 --> 00:12:57,040 Speaker 1: flowers to the United States, comprising sixty five percent of 201 00:12:57,120 --> 00:13:00,280 Speaker 1: that trade, followed by Ecuador at sixteen percent scent and 202 00:13:00,360 --> 00:13:03,000 Speaker 1: the Netherlands at six percent. And then we actually get 203 00:13:03,040 --> 00:13:05,800 Speaker 1: four percent of our flowers from from Canada. So I 204 00:13:05,880 --> 00:13:09,960 Speaker 1: wonder if Canada is is somehow kidding some flowers from 205 00:13:10,000 --> 00:13:12,920 Speaker 1: Colombia and then marking them up and selling them to us. 206 00:13:12,960 --> 00:13:15,319 Speaker 1: You're saying that we're going to recycle Valentine's Day flowers. 207 00:13:15,360 --> 00:13:18,880 Speaker 1: I don't know, Canada, what's behind this? What's going on? Canadians? 208 00:13:19,600 --> 00:13:22,839 Speaker 1: Let us know? UM, there is. There is quite a 209 00:13:22,880 --> 00:13:27,480 Speaker 1: process in all of this. Um. It involves chemicals, lots 210 00:13:27,480 --> 00:13:31,120 Speaker 1: of transportation, and a lot of labor. This is from 211 00:13:31,160 --> 00:13:34,000 Speaker 1: the New Statesman, which describes the process and says that 212 00:13:34,000 --> 00:13:39,280 Speaker 1: flowers are typically harvested, de leafed, semi dehydrated in refrigeration units, 213 00:13:39,520 --> 00:13:43,440 Speaker 1: steeped in chemicals, packed in boxes, sometimes by machinery and 214 00:13:43,520 --> 00:13:46,640 Speaker 1: sent in refrigerated trucks to the airport. That's already that's 215 00:13:46,640 --> 00:13:49,880 Speaker 1: already quite a lot of stuff. Yeah, and then once 216 00:13:49,920 --> 00:13:52,600 Speaker 1: they get to the supermarkets and floris where they're sold, 217 00:13:52,920 --> 00:13:57,160 Speaker 1: they are usually chemically rehydrated and in the weeks preceding St. 218 00:13:57,200 --> 00:14:02,520 Speaker 1: Valentine's Days. St. Valentine's Day, so proper, proper, because that's 219 00:14:02,720 --> 00:14:05,920 Speaker 1: how I am h and Mother's Day. Women on the 220 00:14:05,960 --> 00:14:09,400 Speaker 1: plantations in Africa and South America frequently work sixty hours 221 00:14:09,400 --> 00:14:11,520 Speaker 1: a week, like you said, So that's all part of 222 00:14:11,520 --> 00:14:15,800 Speaker 1: this huge I have never I'm so ignorant. I mean 223 00:14:15,840 --> 00:14:17,720 Speaker 1: I I just haven't thought about it. You know, when 224 00:14:17,760 --> 00:14:19,360 Speaker 1: you go to the grocery. I like to buy flowers 225 00:14:19,360 --> 00:14:21,480 Speaker 1: at the grocery store all the time. I never thought 226 00:14:21,480 --> 00:14:23,680 Speaker 1: of this huge, long process. And so that's why I 227 00:14:23,720 --> 00:14:26,120 Speaker 1: think it's important to talk about stuff like this, because 228 00:14:26,160 --> 00:14:29,000 Speaker 1: something so simple as just buying a bunch of daisies 229 00:14:29,000 --> 00:14:31,680 Speaker 1: while you're getting your grocery shopping done, there's a lot. 230 00:14:31,800 --> 00:14:33,360 Speaker 1: There's a lot behind that, just like there is with 231 00:14:33,400 --> 00:14:35,520 Speaker 1: your food. Of course. Well, I'm thinking about them going 232 00:14:35,560 --> 00:14:40,840 Speaker 1: through the process of being semi dehydrated and then chemically rehydrated. 233 00:14:41,080 --> 00:14:43,760 Speaker 1: That blows my mind. Yeah, it's because they found this 234 00:14:43,880 --> 00:14:47,160 Speaker 1: great growing location with all this sunlight and constant temperature. 235 00:14:47,320 --> 00:14:48,560 Speaker 1: But then they have to get out to all the 236 00:14:48,560 --> 00:14:50,680 Speaker 1: people who want to spend the money on it. And 237 00:14:50,760 --> 00:14:54,320 Speaker 1: Americans and Europeans been just millions of dollars every year 238 00:14:54,320 --> 00:14:56,840 Speaker 1: on flowers which are mostly just to feel good purchase. 239 00:14:56,880 --> 00:14:59,800 Speaker 1: It's not like we need it, but you know, it's 240 00:14:59,800 --> 00:15:03,360 Speaker 1: how and somebody, And that's the big question of is 241 00:15:03,520 --> 00:15:06,600 Speaker 1: it is it really helping someone? Um? Or are we 242 00:15:07,400 --> 00:15:12,720 Speaker 1: because of this luxury purchase? Are we destroying the environment 243 00:15:13,000 --> 00:15:18,720 Speaker 1: and perpetuating low wage um industries that treat women unfairly? 244 00:15:19,560 --> 00:15:21,480 Speaker 1: And we will get to the bottom of this um. 245 00:15:21,480 --> 00:15:24,520 Speaker 1: This is in scientific Americans. Stewart Or of the World 246 00:15:24,520 --> 00:15:28,000 Speaker 1: Wildlife Fund International, sums it up this way. He and 247 00:15:28,040 --> 00:15:32,680 Speaker 1: this is talking specifically about Kenya and Lake Naivasha, which 248 00:15:32,720 --> 00:15:36,280 Speaker 1: is where a lot of those flower farms are located around. 249 00:15:36,800 --> 00:15:39,240 Speaker 1: He says it's one of the most perfect places to 250 00:15:39,320 --> 00:15:42,000 Speaker 1: grow flowers at a high altitude with plenty of water 251 00:15:42,160 --> 00:15:47,920 Speaker 1: and sunshine, and flower farms employ people and generate income great, excellent, 252 00:15:48,320 --> 00:15:54,680 Speaker 1: but they're also big water and pesticide users, right, and 253 00:15:54,720 --> 00:15:59,680 Speaker 1: like you said, Kristen Kenya supplies of Europe's cut flowers. 254 00:15:59,680 --> 00:16:02,960 Speaker 1: That's that's a very large chunk and the best are 255 00:16:03,000 --> 00:16:05,440 Speaker 1: sold to flourish through Dutch auctions and then not so 256 00:16:05,560 --> 00:16:08,920 Speaker 1: perfect end up in European supermarkets. So you know, same 257 00:16:08,960 --> 00:16:12,240 Speaker 1: thing with me buying daisies at the grocery store Gerbera 258 00:16:12,320 --> 00:16:16,720 Speaker 1: daisies to be exact, Yes, beauty and innocence. Um. But 259 00:16:16,920 --> 00:16:20,520 Speaker 1: at the Assyrian farm on Lake Naivasha. This is from 260 00:16:20,520 --> 00:16:25,040 Speaker 1: Scientific American also roses. They talk about the the environmental 261 00:16:25,080 --> 00:16:28,160 Speaker 1: impact and what companies are are seeking to do to 262 00:16:28,240 --> 00:16:30,760 Speaker 1: offset some of this impact. Roses are now grown with 263 00:16:30,840 --> 00:16:34,400 Speaker 1: geothermal waste heat to save energy and no roses are 264 00:16:34,480 --> 00:16:36,560 Speaker 1: raised within a third of a mile of the lake 265 00:16:36,640 --> 00:16:39,640 Speaker 1: to prevent pesticide runoff from reaching it. But it hasn't 266 00:16:39,640 --> 00:16:43,360 Speaker 1: always been like this. Um. There were some alarm bills 267 00:16:43,360 --> 00:16:46,560 Speaker 1: that were raised in two thousand three which were largely 268 00:16:46,560 --> 00:16:50,480 Speaker 1: attributed to a special report in the Guardian newspaper about 269 00:16:50,720 --> 00:16:55,840 Speaker 1: worker conditions, and it was specifically conditions for female workers 270 00:16:55,880 --> 00:16:59,520 Speaker 1: that make up a bulk of that labor force. Yeah, 271 00:16:59,560 --> 00:17:03,480 Speaker 1: the the Guardian made public concerns about chemical spraying, long 272 00:17:03,520 --> 00:17:07,120 Speaker 1: working hours, and harassment of female workers who were working 273 00:17:07,160 --> 00:17:12,800 Speaker 1: under male supervisors. And concerns remain over wages today and 274 00:17:12,840 --> 00:17:15,440 Speaker 1: whether the large flower companies are paying their fair share 275 00:17:15,480 --> 00:17:18,680 Speaker 1: of taxes um. But let's look at two thousand nine 276 00:17:19,119 --> 00:17:21,520 Speaker 1: as far as the lake goes that supplies all of 277 00:17:21,560 --> 00:17:25,520 Speaker 1: the water to these flower farms in kenya Um. In 278 00:17:25,560 --> 00:17:28,119 Speaker 1: two thousand nine, a major drought shrank the size of 279 00:17:28,160 --> 00:17:30,399 Speaker 1: the lake two levels they hadn't seen since the nineteen 280 00:17:31,280 --> 00:17:34,119 Speaker 1: But that was been followed by a major storm that 281 00:17:34,200 --> 00:17:37,960 Speaker 1: washed sewage and possibly chemical residue from the farms into 282 00:17:38,000 --> 00:17:41,280 Speaker 1: the lake. So here you're you're they're using all this water, 283 00:17:41,359 --> 00:17:43,960 Speaker 1: but then all of a sudden it's polluted, endangering all 284 00:17:43,960 --> 00:17:47,479 Speaker 1: the ecosystems. And just to give listeners an idea of 285 00:17:48,000 --> 00:17:51,919 Speaker 1: how much Lake Naivasha has been affected, not just because 286 00:17:51,960 --> 00:17:54,479 Speaker 1: of the flower farming, but also because of that drought 287 00:17:54,480 --> 00:17:58,840 Speaker 1: in two thousand nine, it has receded over one mile 288 00:17:59,280 --> 00:18:05,080 Speaker 1: and ken is really trying to revitalize that ecosystem while 289 00:18:05,160 --> 00:18:08,840 Speaker 1: sustaining these flower farms, which are so important. I want 290 00:18:08,880 --> 00:18:11,760 Speaker 1: to say that the floral industry is the fifth largest 291 00:18:11,920 --> 00:18:16,199 Speaker 1: in Kenya, it's very important for for their economy. And 292 00:18:16,240 --> 00:18:20,160 Speaker 1: depending on what flower farm you work at in Kenya, 293 00:18:20,720 --> 00:18:23,880 Speaker 1: you might have a great situation. There are some farms 294 00:18:23,960 --> 00:18:30,719 Speaker 1: that provide worker housing, education for their children, playgrounds, UM benefits. UH. 295 00:18:30,760 --> 00:18:34,200 Speaker 1: There are some that are transitioning more to permanent employment 296 00:18:34,200 --> 00:18:37,880 Speaker 1: instead of using contract work, but that's obviously not true 297 00:18:37,920 --> 00:18:40,640 Speaker 1: across the board UM, and so there's still a lot 298 00:18:40,640 --> 00:18:45,080 Speaker 1: of concerns about wages and fairness and UM female workers 299 00:18:45,080 --> 00:18:47,040 Speaker 1: and the things that they have to deal with. But 300 00:18:47,560 --> 00:18:50,720 Speaker 1: UM the environmental issues with the lake. It has led 301 00:18:50,760 --> 00:18:53,439 Speaker 1: a couple of companies to start investing a lot of 302 00:18:53,440 --> 00:18:58,000 Speaker 1: money and sustainability efforts. And there's the company Flamingo Homegrown 303 00:18:58,480 --> 00:19:01,840 Speaker 1: UH does follow fair trade standards UH and the company 304 00:19:01,880 --> 00:19:05,639 Speaker 1: says that it has slashed pesticide use, replaced contract positions 305 00:19:05,680 --> 00:19:07,960 Speaker 1: with permanent ones like I was just saying, and made 306 00:19:07,960 --> 00:19:12,800 Speaker 1: efforts to actually train and promote women's supervisors. But UM 307 00:19:13,119 --> 00:19:16,800 Speaker 1: University of Lester ecologists David Harper still has some concerns 308 00:19:17,320 --> 00:19:21,520 Speaker 1: and in February eleven he basically said that the UK's 309 00:19:21,560 --> 00:19:26,159 Speaker 1: demand for fresh flowers was bleeding Lake Naivasha dry and 310 00:19:26,160 --> 00:19:29,359 Speaker 1: he's urging the supermarkets that are buying these flowers to 311 00:19:29,440 --> 00:19:33,000 Speaker 1: take more responsibility by promoting policies that would help conserve 312 00:19:33,400 --> 00:19:36,040 Speaker 1: the lake's ecosystem. So he's saying that the people who 313 00:19:36,040 --> 00:19:38,760 Speaker 1: are selling you the flowers in your own country need 314 00:19:38,800 --> 00:19:41,960 Speaker 1: to be more responsible. Right, People who are worried from 315 00:19:42,000 --> 00:19:45,879 Speaker 1: the more environmental standpoint can look out for flowers that 316 00:19:45,960 --> 00:19:49,919 Speaker 1: are fair trade certified, or you can go local or 317 00:19:50,160 --> 00:19:53,960 Speaker 1: and buy more native plants that are native to your 318 00:19:54,080 --> 00:19:57,680 Speaker 1: the ecosystems that you're living in. Obviously you can buy 319 00:19:57,840 --> 00:20:01,880 Speaker 1: plants from and flowers from low coal greenhouses and other 320 00:20:01,960 --> 00:20:07,359 Speaker 1: things like that. But let's let's turn now to another 321 00:20:07,400 --> 00:20:10,720 Speaker 1: part of the world. In Columbia and Ecuador have a 322 00:20:10,880 --> 00:20:13,239 Speaker 1: very similar situation to the one in Kenya, which is, 323 00:20:13,359 --> 00:20:19,000 Speaker 1: like we said, the the environment, the growing situation is perfect. 324 00:20:19,280 --> 00:20:21,840 Speaker 1: It's on a it's on a savannah. There's plenty of 325 00:20:21,920 --> 00:20:25,520 Speaker 1: water and sunshine and constant temperatures. But we've got the 326 00:20:25,600 --> 00:20:31,119 Speaker 1: same issues with pollution, pesticides, female workers, all of that. 327 00:20:31,680 --> 00:20:34,440 Speaker 1: And I thought it was fascinating how the Colombian floral 328 00:20:34,520 --> 00:20:38,199 Speaker 1: trade got started. This is coming from a report in 329 00:20:38,240 --> 00:20:42,240 Speaker 1: the Smithsonian magazine, and it all began because a guy 330 00:20:42,320 --> 00:20:45,840 Speaker 1: named David Schiever wrote a term paper in grad school 331 00:20:45,880 --> 00:20:50,080 Speaker 1: in nineteen sixty seven suggesting that the savannah near Bogatat 332 00:20:50,119 --> 00:20:52,440 Speaker 1: was an ideal spot to grow flowers to sell the 333 00:20:52,560 --> 00:20:55,800 Speaker 1: US because it had an excellent climate. The flowers would 334 00:20:55,840 --> 00:20:59,679 Speaker 1: take off and they could apply assembly lines and modern shipping. 335 00:20:59,680 --> 00:21:03,639 Speaker 1: PRAC just says to to get things going. And boy, 336 00:21:03,760 --> 00:21:09,360 Speaker 1: howdy was David Chiever right? Yeah? He he and three 337 00:21:09,400 --> 00:21:14,440 Speaker 1: partners started Flora America, which used assembly lines and modern shipping. 338 00:21:14,720 --> 00:21:16,240 Speaker 1: So right off the bat, they're like, we're going to 339 00:21:16,359 --> 00:21:19,800 Speaker 1: make the model tea of flowers. And it really, it 340 00:21:19,920 --> 00:21:22,879 Speaker 1: really took off. And now Colombia is the second largest 341 00:21:22,880 --> 00:21:26,159 Speaker 1: exporter of cut flowers, behind only the Netherlands, and it 342 00:21:26,200 --> 00:21:30,240 Speaker 1: commands of the U S market, which you know, or 343 00:21:30,320 --> 00:21:33,160 Speaker 1: sixty five depending on where you're getting your where you're 344 00:21:33,160 --> 00:21:35,800 Speaker 1: getting your numbers, so it's between sixty five and stuff. 345 00:21:35,880 --> 00:21:40,240 Speaker 1: So basically a lot lot flowers. Uh. And this employs 346 00:21:40,320 --> 00:21:43,160 Speaker 1: more than a hundred thousand people working in the greenhouses, 347 00:21:43,359 --> 00:21:45,320 Speaker 1: and the majority of folks who are trying to work 348 00:21:45,359 --> 00:21:48,560 Speaker 1: there have been women, many of whom are single mothers. 349 00:21:48,800 --> 00:21:52,480 Speaker 1: And this is where the you know, this issue of 350 00:21:52,920 --> 00:21:56,760 Speaker 1: what kind of female labor we are supporting when we're 351 00:21:56,760 --> 00:22:01,000 Speaker 1: buying all of these Valentine's Day Mother's Day flowers. Um, 352 00:22:01,040 --> 00:22:03,800 Speaker 1: Because on the one hand, employment for single moms that 353 00:22:03,920 --> 00:22:08,880 Speaker 1: sounds great. It is needed. Economists have gone and said, hey, 354 00:22:08,920 --> 00:22:12,560 Speaker 1: this is a new form of job opportunities that would 355 00:22:12,600 --> 00:22:17,040 Speaker 1: not be there otherwise. Not necessarily a bad thing. But 356 00:22:17,160 --> 00:22:20,320 Speaker 1: according to the International Labor Rights Fund, the typical South 357 00:22:20,320 --> 00:22:24,000 Speaker 1: American flower picker um is unmarried, she's got an elementary 358 00:22:24,000 --> 00:22:26,639 Speaker 1: school education, and she has three or more children, and 359 00:22:26,640 --> 00:22:29,600 Speaker 1: a lot of times she's not making enough money to 360 00:22:29,720 --> 00:22:33,600 Speaker 1: really support herself and her family. Right, women at the 361 00:22:34,080 --> 00:22:38,240 Speaker 1: at the farm MG consul tories were surveyed and they 362 00:22:38,240 --> 00:22:41,840 Speaker 1: found that most had previously worked on substance subsistence farms 363 00:22:41,960 --> 00:22:44,520 Speaker 1: or as maids, jobs that paid lower wages than in 364 00:22:44,560 --> 00:22:46,919 Speaker 1: the flower industry. But we have to ask, which is 365 00:22:46,920 --> 00:22:50,320 Speaker 1: exactly the point you raised, are these the right kind 366 00:22:50,359 --> 00:22:53,840 Speaker 1: of jobs? Uh? You know it. It is wonderful that 367 00:22:53,880 --> 00:22:56,880 Speaker 1: single mothers can have employment, but if they're being exposed 368 00:22:56,880 --> 00:23:00,399 Speaker 1: to pesticides and being hunched over all day with the rippers, 369 00:23:01,560 --> 00:23:03,959 Speaker 1: I mean, are we again, it's it's kind of a 370 00:23:03,960 --> 00:23:06,239 Speaker 1: toss up. They're getting employed, they're getting paid, but it's 371 00:23:06,280 --> 00:23:08,600 Speaker 1: putting their children in their own health at risk. So 372 00:23:08,680 --> 00:23:11,440 Speaker 1: for those sixty hour weeks that they're working, um, in 373 00:23:11,520 --> 00:23:15,639 Speaker 1: anticipation of Valentine's Day. Not to be a total Valentine's 374 00:23:15,720 --> 00:23:19,879 Speaker 1: Day down er, um, but these women are making minimum wage. 375 00:23:19,960 --> 00:23:22,760 Speaker 1: They're working obviously long hours, and a lot of them 376 00:23:22,800 --> 00:23:27,040 Speaker 1: will suffer repetitive stress injuries with no treatment or time off, 377 00:23:27,080 --> 00:23:29,560 Speaker 1: and if they do try to get any kind of treatment, 378 00:23:29,640 --> 00:23:33,400 Speaker 1: they will be asked to not come up come back. Um. 379 00:23:33,480 --> 00:23:37,280 Speaker 1: And there are also stories and this is from um, 380 00:23:37,359 --> 00:23:40,920 Speaker 1: that two thousand three Guardian article that really raised alarm bells. 381 00:23:40,920 --> 00:23:44,400 Speaker 1: And things have gotten a little bit better, um, but 382 00:23:44,760 --> 00:23:48,520 Speaker 1: you know, some women were saying that when inspections would 383 00:23:48,520 --> 00:23:51,840 Speaker 1: happen to make sure working conditions were safe and equitable, 384 00:23:52,400 --> 00:23:56,199 Speaker 1: the supervisors would ask certain people to stay home so 385 00:23:56,440 --> 00:24:01,040 Speaker 1: things would would look more above board. Um. One of 386 00:24:01,040 --> 00:24:03,719 Speaker 1: those things that's not looking above board is that as 387 00:24:03,800 --> 00:24:07,919 Speaker 1: recently as the mid nineties, a Colombian sociologists found children 388 00:24:07,920 --> 00:24:11,240 Speaker 1: as young as nine working in the greenhouses on Saturdays, 389 00:24:11,280 --> 00:24:15,200 Speaker 1: and children eleven and of working forty six hour work weeks. 390 00:24:15,280 --> 00:24:18,879 Speaker 1: So it's not only um, you know, taking advantage of 391 00:24:19,320 --> 00:24:24,280 Speaker 1: women cheap labor from women, but also from children. Um. 392 00:24:24,320 --> 00:24:28,399 Speaker 1: But talking about that exposure to chemicals. UM. One survey 393 00:24:28,400 --> 00:24:30,719 Speaker 1: of nine thousand flower workers found that they had been 394 00:24:30,760 --> 00:24:33,200 Speaker 1: exposed to as many as one hundred and twenty seven 395 00:24:33,720 --> 00:24:39,400 Speaker 1: different chemicals, mostly fungicides and pesticides. And this is echoed. 396 00:24:39,720 --> 00:24:41,720 Speaker 1: The problems that come from this have been echoed in 397 00:24:41,760 --> 00:24:45,399 Speaker 1: several studies. Right. UM, you might be thinking, oh, a 398 00:24:46,359 --> 00:24:50,800 Speaker 1: survey that's totally outdated. Well here about how about this 399 00:24:51,160 --> 00:24:54,760 Speaker 1: two thousand nine University of Mexico study finding that women 400 00:24:54,760 --> 00:24:58,119 Speaker 1: working in the flower industry in Ecuador reported more pregnancy 401 00:24:58,160 --> 00:25:02,240 Speaker 1: losses than among women out side the industry, and the 402 00:25:02,280 --> 00:25:06,639 Speaker 1: researchers linked that to the need for an evaluation of 403 00:25:06,640 --> 00:25:10,960 Speaker 1: the reproductive health effects of employment in that specific industry 404 00:25:11,200 --> 00:25:14,879 Speaker 1: linked to pesticide use. Right, yeah, if you're going to 405 00:25:14,960 --> 00:25:18,800 Speaker 1: have this population doing this work, we should definitely take 406 00:25:18,840 --> 00:25:22,280 Speaker 1: a look at how to make it safer. Um At 407 00:25:22,280 --> 00:25:25,280 Speaker 1: two thousand six study of female flower workers in Ecuador. 408 00:25:25,640 --> 00:25:29,040 Speaker 1: This was study. The study was published in Pediatrics found 409 00:25:29,040 --> 00:25:32,199 Speaker 1: that a pregnant woman's exposure to pesticides was associated with 410 00:25:32,200 --> 00:25:36,320 Speaker 1: the child's neurological impairment and higher blood pressure later in life. 411 00:25:36,359 --> 00:25:38,960 Speaker 1: And of course we know that higher blood pressure can 412 00:25:39,119 --> 00:25:42,280 Speaker 1: you know if if if it stays, it can eventually 413 00:25:42,320 --> 00:25:47,320 Speaker 1: lead to cardiovascular problems. And in addition to UH these 414 00:25:47,400 --> 00:25:53,320 Speaker 1: kind of pesticide exposures and those repetitive stress injuries, there were, 415 00:25:53,359 --> 00:25:56,560 Speaker 1: according to the Smithsonian magazine, also a lot of reports 416 00:25:56,600 --> 00:26:01,360 Speaker 1: of sexual harassment by male bosses. UM. But again, these 417 00:26:01,400 --> 00:26:04,199 Speaker 1: are these are issues that a lot of companies have 418 00:26:04,480 --> 00:26:09,960 Speaker 1: tried to go in and rectify, but largely because watchdog 419 00:26:10,000 --> 00:26:14,080 Speaker 1: groups have been formed to pay attention to these kind 420 00:26:14,280 --> 00:26:18,000 Speaker 1: of working conditions, right, and I mean as far as 421 00:26:18,119 --> 00:26:20,920 Speaker 1: creating better work environments. You know, we talked about several 422 00:26:21,000 --> 00:26:25,040 Speaker 1: of the companies in Kenya that are really seeking to 423 00:26:25,080 --> 00:26:28,879 Speaker 1: be sustainable to help their workers and the workers families. UM. 424 00:26:28,920 --> 00:26:32,600 Speaker 1: According to that Smithsonian article, the flower industry in Columbia 425 00:26:32,640 --> 00:26:37,400 Speaker 1: created floor Verde, a voluntary certification program that requires participating 426 00:26:37,440 --> 00:26:40,760 Speaker 1: farms to meet targets for sustainable water use and follow 427 00:26:40,800 --> 00:26:45,880 Speaker 1: internationally recognized safety guidelines for chemical applications. So there are 428 00:26:46,000 --> 00:26:49,800 Speaker 1: people really trying to um improve the quality of their 429 00:26:49,840 --> 00:26:53,760 Speaker 1: workers lives and going back to the situation in Kenya 430 00:26:54,320 --> 00:26:58,040 Speaker 1: the Economist magazine was talking about, but more the the 431 00:26:58,600 --> 00:27:02,040 Speaker 1: importance of the ural industry and kind of an unstable 432 00:27:02,040 --> 00:27:05,560 Speaker 1: economy over there, and the report that the average monthly 433 00:27:05,600 --> 00:27:09,080 Speaker 1: salary of eighty dollars plus benefits is actually considered a 434 00:27:09,119 --> 00:27:13,800 Speaker 1: good wage. UM. So I guess that's why, um it 435 00:27:13,880 --> 00:27:18,639 Speaker 1: was it was challenging to weigh the pros and the 436 00:27:18,680 --> 00:27:22,200 Speaker 1: cons of what's going on in this industry because whenever 437 00:27:22,200 --> 00:27:24,720 Speaker 1: we trace back a lot of the products that we 438 00:27:24,840 --> 00:27:28,840 Speaker 1: take for granted, these simple luxuries like a bouquet of flowers, 439 00:27:29,240 --> 00:27:32,240 Speaker 1: a lot of times it does trace back to people, um, 440 00:27:32,280 --> 00:27:36,080 Speaker 1: not earning very much money. Uh. And and that can 441 00:27:36,119 --> 00:27:39,280 Speaker 1: be I don't know, it's it's it's hard to justify 442 00:27:39,480 --> 00:27:41,960 Speaker 1: in your mind because you can contextualize it and say, well, 443 00:27:41,960 --> 00:27:44,959 Speaker 1: for those for those Kenyan women, that eighty dollars a 444 00:27:44,960 --> 00:27:49,240 Speaker 1: month is really great, But should we be pushing for 445 00:27:49,680 --> 00:27:54,520 Speaker 1: somehow more for them, I don't know, higher wages, better 446 00:27:54,640 --> 00:28:00,760 Speaker 1: safety precautions. Um yeah, taking more across and precautions excuse me, 447 00:28:00,760 --> 00:28:03,720 Speaker 1: for pregnant women, right. And I think that's why it's 448 00:28:04,080 --> 00:28:09,200 Speaker 1: hardening to see that organizations like fair trade are going 449 00:28:09,280 --> 00:28:12,439 Speaker 1: in they are um, you know, you can actually find 450 00:28:12,480 --> 00:28:15,600 Speaker 1: those kind of certified bouquets, or of course if you 451 00:28:15,640 --> 00:28:19,600 Speaker 1: want to, you can always go local and native by 452 00:28:19,600 --> 00:28:24,120 Speaker 1: by your your love e dovy person a potted plant. Yeah, 453 00:28:24,160 --> 00:28:26,200 Speaker 1: because the thing is, at the end of the day, 454 00:28:26,520 --> 00:28:32,160 Speaker 1: people like people who buy flowers. H now granted. This 455 00:28:32,440 --> 00:28:36,280 Speaker 1: study at Rutgers University in two thousands six was funded 456 00:28:36,760 --> 00:28:42,200 Speaker 1: by the Society of American flora'sts okay, but they did 457 00:28:42,280 --> 00:28:46,240 Speaker 1: conclude that people perceive others based on the types of 458 00:28:46,280 --> 00:28:51,240 Speaker 1: gifts they give, and flower givers rose straight to the top. 459 00:28:51,720 --> 00:28:55,360 Speaker 1: We think of people who give flowers as making the 460 00:28:55,440 --> 00:28:59,360 Speaker 1: best impression, and they are considered more likable, friendly, and 461 00:28:59,520 --> 00:29:03,680 Speaker 1: emotion really intelligent. I love getting flowers. But it's funny 462 00:29:03,720 --> 00:29:05,920 Speaker 1: because apparently a lot of people out there think that 463 00:29:06,000 --> 00:29:09,120 Speaker 1: guys need help in this arena, because there are several 464 00:29:09,680 --> 00:29:13,880 Speaker 1: everything from flower websites, from from flower companies themselves over 465 00:29:13,920 --> 00:29:16,640 Speaker 1: to that website. The art of Manliness and decided before 466 00:29:16,960 --> 00:29:19,200 Speaker 1: has told you know, guys, you really you really need 467 00:29:19,200 --> 00:29:21,520 Speaker 1: a man up and buy some flowers for your lady. 468 00:29:21,680 --> 00:29:26,520 Speaker 1: But don't just buy carnations. You better buy some lily. Yeah, 469 00:29:26,520 --> 00:29:29,160 Speaker 1: and they suggest they do. They go over the meaning 470 00:29:29,200 --> 00:29:31,520 Speaker 1: of different flowers. And I think that it was the 471 00:29:31,600 --> 00:29:36,080 Speaker 1: art of manliness that suggested buying your lady friend one 472 00:29:36,120 --> 00:29:39,120 Speaker 1: of those manuals about the meaning of the Victorian manuals 473 00:29:39,120 --> 00:29:40,920 Speaker 1: on the meaning of flowers, making sure that you have 474 00:29:41,000 --> 00:29:42,520 Speaker 1: the same one because they weren't all the same. So 475 00:29:42,520 --> 00:29:44,200 Speaker 1: you don't want to offend her and try to say that, 476 00:29:44,280 --> 00:29:47,160 Speaker 1: you know, like, oh, I think you're really dumb, but 477 00:29:47,280 --> 00:29:48,840 Speaker 1: you know, like god, I don't know what flower would 478 00:29:48,840 --> 00:29:51,040 Speaker 1: symbolize the dumbness. And he hands it to her upside 479 00:29:51,040 --> 00:29:53,000 Speaker 1: down and the oh gods in the bow is time 480 00:29:53,120 --> 00:29:56,400 Speaker 1: the wrong way? You know? Just take take the pressure 481 00:29:56,400 --> 00:30:00,320 Speaker 1: off and get her a chia pet. Oh god, noth says, 482 00:30:00,360 --> 00:30:05,680 Speaker 1: I love you like a bearded potted play exactly. That's 483 00:30:05,680 --> 00:30:07,560 Speaker 1: what I say all the time. I have that knitted 484 00:30:07,560 --> 00:30:12,120 Speaker 1: on a pillow back to you'd be expectations low, ladies, right, 485 00:30:12,840 --> 00:30:15,719 Speaker 1: So yeah, I want to know who out there is 486 00:30:15,760 --> 00:30:19,440 Speaker 1: getting flowers for someone on Valentine's Day. And if you 487 00:30:19,560 --> 00:30:23,800 Speaker 1: thought at all about the big line of places that 488 00:30:23,880 --> 00:30:26,560 Speaker 1: it has been, well, I'm wondering now too, if we're 489 00:30:27,440 --> 00:30:33,920 Speaker 1: accidentally dissuading people from giving flowers to their beloved. Well, 490 00:30:33,960 --> 00:30:38,560 Speaker 1: maybe they'll go to a local florist, or maybe they'll 491 00:30:38,600 --> 00:30:43,000 Speaker 1: make their own bouquet out of construction papor. Yeah, I 492 00:30:43,040 --> 00:30:46,160 Speaker 1: don't know. Let's combine the Martha Stewart podcast with this one. 493 00:30:46,480 --> 00:30:49,400 Speaker 1: All you need is some dried macaron and that's a 494 00:30:49,440 --> 00:30:53,080 Speaker 1: good thing. So hopefully you thought this podcast was a 495 00:30:53,080 --> 00:30:55,880 Speaker 1: good thing, not to be a total downer on Valentine's 496 00:30:55,960 --> 00:30:59,000 Speaker 1: Day eve. Either way, let us know your thoughts. Send 497 00:30:59,080 --> 00:31:03,600 Speaker 1: us a Valentine how about? Yeah, you know you can't 498 00:31:03,600 --> 00:31:06,240 Speaker 1: send me flowers, I guess because that might take too long. 499 00:31:06,600 --> 00:31:10,480 Speaker 1: But you can send us an E card Mom Stuff 500 00:31:10,520 --> 00:31:13,520 Speaker 1: at Discovery dot com. Draw us the flower and MS 501 00:31:13,600 --> 00:31:18,560 Speaker 1: paint I like that, very high tech. You can send 502 00:31:18,600 --> 00:31:23,800 Speaker 1: it to Mom's stuff at Discovery dot com. I repeat 503 00:31:24,480 --> 00:31:27,880 Speaker 1: moms stuff at Discovery dot com. I will be awaiting 504 00:31:28,160 --> 00:31:31,880 Speaker 1: your MS paint roses. Yes, and we would like a 505 00:31:32,000 --> 00:31:35,360 Speaker 1: guide of what each m S paint flower you have 506 00:31:35,480 --> 00:31:39,960 Speaker 1: drawn means. Yes, hopefully it is all love and endearment 507 00:31:40,760 --> 00:31:45,760 Speaker 1: obtain Yeah, at least wait until after BALI. So I've 508 00:31:45,760 --> 00:31:49,720 Speaker 1: got an email here to read from Tina, and this 509 00:31:49,800 --> 00:31:54,000 Speaker 1: is in response to our episode on gender differences in 510 00:31:54,320 --> 00:31:59,480 Speaker 1: exercise and Tina is a soccer player and avid soccer player, 511 00:32:00,080 --> 00:32:02,800 Speaker 1: and she brought up something that we came across in 512 00:32:02,880 --> 00:32:06,560 Speaker 1: our research for that podcast, but did not end up mentioning. 513 00:32:06,960 --> 00:32:10,760 Speaker 1: In that episode, she writes, I can speak for the 514 00:32:10,800 --> 00:32:13,640 Speaker 1: sport I know best, which is soccer, and after recently 515 00:32:13,640 --> 00:32:16,960 Speaker 1: tearing my A c L and having to undergo surgical reconstruction, 516 00:32:17,280 --> 00:32:20,840 Speaker 1: I learned a lot about how being a lady played 517 00:32:20,880 --> 00:32:23,440 Speaker 1: into my injury. My surgeon told me that women are 518 00:32:23,480 --> 00:32:26,000 Speaker 1: actually up to eight times more likely to tear their 519 00:32:26,040 --> 00:32:29,040 Speaker 1: A c L in sport because of our biomechanics and 520 00:32:29,040 --> 00:32:32,840 Speaker 1: weight distribution. Men tend to have stronger upper bodies, while 521 00:32:32,880 --> 00:32:34,800 Speaker 1: women tend to carry their weight in the hip and 522 00:32:34,840 --> 00:32:37,760 Speaker 1: thigh region, and this means that when a woman pivots 523 00:32:37,840 --> 00:32:40,320 Speaker 1: or twists on her feet during a sport, there's a 524 00:32:40,360 --> 00:32:43,040 Speaker 1: lot more torque in the ligaments on the knee. This 525 00:32:43,160 --> 00:32:45,760 Speaker 1: extra tension is what causes female soccer players to have 526 00:32:45,840 --> 00:32:48,920 Speaker 1: more ligament injuries, and I guess I'm a living example 527 00:32:48,960 --> 00:32:51,640 Speaker 1: of this. Because of this fact, my physiotherapist has told 528 00:32:51,680 --> 00:32:54,880 Speaker 1: me that most female varsity teams at my university undergo 529 00:32:55,040 --> 00:32:58,280 Speaker 1: some form of a cl and injury prevention training sessions 530 00:32:58,640 --> 00:33:01,480 Speaker 1: to build up certain stable ysing muscles in their legs 531 00:33:01,520 --> 00:33:06,360 Speaker 1: to counteract the torque on their ligaments. Ladies, got torque? 532 00:33:07,200 --> 00:33:10,400 Speaker 1: That sounds so bad? Put that on a pillow. Uh. 533 00:33:10,440 --> 00:33:13,320 Speaker 1: This this is from Janna. The subject line, I'll let 534 00:33:13,320 --> 00:33:18,040 Speaker 1: it speak for itself is jim gender pandemonium. She says. 535 00:33:18,160 --> 00:33:21,360 Speaker 1: I'm a student at Memorial University in Newfoundland, Canada, and 536 00:33:21,400 --> 00:33:23,840 Speaker 1: we've had a bit of crisis on our hands up here. 537 00:33:23,880 --> 00:33:26,520 Speaker 1: As students. We all have access to the gym on campus, 538 00:33:26,560 --> 00:33:29,520 Speaker 1: which has a specific freeweights room that is often crowded 539 00:33:29,520 --> 00:33:32,560 Speaker 1: by many guys. Well, the decision was made by the 540 00:33:32,600 --> 00:33:34,800 Speaker 1: gym to promote more females to get into this kind 541 00:33:34,800 --> 00:33:37,200 Speaker 1: of muscle toning workout, and so the gym began to 542 00:33:37,280 --> 00:33:40,880 Speaker 1: offer female only hours on non peaked times. Oh sure, 543 00:33:41,000 --> 00:33:44,640 Speaker 1: non peaked times. Well, it has been an uproar, she says. 544 00:33:45,080 --> 00:33:47,440 Speaker 1: I thought it was funny and even laugh loudly when 545 00:33:47,440 --> 00:33:49,280 Speaker 1: you said the boys are more upset when they miss 546 00:33:49,320 --> 00:33:53,040 Speaker 1: their workouts, Because it has been crazy. Guys have written 547 00:33:53,040 --> 00:33:57,160 Speaker 1: our campus newspaper started a Facebook group in protest, calling 548 00:33:57,160 --> 00:34:01,160 Speaker 1: this an act of reverse sexism. Now, mind you, they 549 00:34:01,240 --> 00:34:03,880 Speaker 1: still have ninety two hours a week to have access 550 00:34:03,920 --> 00:34:06,840 Speaker 1: to the room. I think they are being kind of silly, 551 00:34:06,880 --> 00:34:10,839 Speaker 1: but each to their own I guess, I guess Jenna. Yeah, 552 00:34:10,880 --> 00:34:13,480 Speaker 1: asked Jenna to keep us informed to see whether or 553 00:34:13,480 --> 00:34:18,760 Speaker 1: not the school caves to the Jinder Jim Gender pandemonia, 554 00:34:20,040 --> 00:34:24,560 Speaker 1: Jim Jim Boree pandemonium. I just people people running around 555 00:34:24,560 --> 00:34:26,560 Speaker 1: the gym with their hands in the air like, yeah, 556 00:34:26,680 --> 00:34:29,640 Speaker 1: I'm thinking of a dance marathon now. So on that 557 00:34:29,760 --> 00:34:33,799 Speaker 1: note again, our email addresses mom Stuff at Discovery dot com. 558 00:34:33,840 --> 00:34:36,840 Speaker 1: If you have a letter or Valentine to send our way, 559 00:34:37,360 --> 00:34:40,520 Speaker 1: or you can send us a Valentine up on the facebooks. 560 00:34:40,960 --> 00:34:43,480 Speaker 1: We'd like that. Why don't you send us a Valentine 561 00:34:43,480 --> 00:34:45,920 Speaker 1: by liking us? That would be the best Valentine's present 562 00:34:45,960 --> 00:34:49,959 Speaker 1: you could possibly give to me and Caroline. We would 563 00:34:50,040 --> 00:34:52,879 Speaker 1: love you for that. And you can also follow us 564 00:34:52,880 --> 00:34:56,080 Speaker 1: on Twitter at Mom's Stuff podcast, and you can check 565 00:34:56,080 --> 00:34:58,480 Speaker 1: out the blog during the week. It is at how 566 00:34:58,680 --> 00:35:04,880 Speaker 1: stuff works dot com. Be sure to check out our 567 00:35:04,880 --> 00:35:08,280 Speaker 1: new video podcast, Stuff from the Future. Join how staff 568 00:35:08,280 --> 00:35:11,200 Speaker 1: Work staff as we explore the most promising and perplexing 569 00:35:11,280 --> 00:35:15,480 Speaker 1: possibilities of tomorrow. The hou Stepp Works iPhone app has arrived. 570 00:35:15,600 --> 00:35:23,000 Speaker 1: Download it today on iTunes. Brought to you by the 571 00:35:23,000 --> 00:35:26,319 Speaker 1: reinvented two thousand twelve camera. It's ready, are you