1 00:00:05,880 --> 00:00:07,840 Speaker 1: Hey, this is Annie, and you're listening to stuff I've 2 00:00:07,840 --> 00:00:23,120 Speaker 1: never told you. For this episode, we are joined by 3 00:00:23,360 --> 00:00:26,159 Speaker 1: son of Vashi. Thank you so much for joining us. 4 00:00:26,320 --> 00:00:28,520 Speaker 1: Thanks for having me. Did you tell us a little 5 00:00:28,520 --> 00:00:31,560 Speaker 1: bit about yourself and what you do? Totally. I am 6 00:00:31,600 --> 00:00:35,400 Speaker 1: a freelance journalist in Atlanta and I write about all 7 00:00:35,440 --> 00:00:39,600 Speaker 1: kinds of things here like crime or housing, uh, sometimes race, 8 00:00:39,680 --> 00:00:41,200 Speaker 1: which is what I'm here to talk about today because 9 00:00:41,240 --> 00:00:45,240 Speaker 1: I'm Asian American. My parents were immigrants from India, and 10 00:00:46,159 --> 00:00:47,760 Speaker 1: I thought it would be a great idea for the 11 00:00:47,760 --> 00:00:51,600 Speaker 1: show to talk about. Yes, and I very much agreed 12 00:00:51,600 --> 00:00:54,360 Speaker 1: when we first You're a bit of a name around town. 13 00:00:54,440 --> 00:00:56,080 Speaker 1: It is for me. I'm always looking for a cool 14 00:00:56,160 --> 00:00:58,680 Speaker 1: ladies in Atlanta I can hook up with, not in 15 00:00:58,680 --> 00:01:04,399 Speaker 1: that way talk to uh. And I had heard from 16 00:01:04,400 --> 00:01:05,760 Speaker 1: a bunch of friends that you were someone that I 17 00:01:05,760 --> 00:01:07,600 Speaker 1: should talk to. And then when I reached out to you, 18 00:01:08,000 --> 00:01:11,240 Speaker 1: you had all of these ideas and I was like everyone, everyone, everyone, 19 00:01:11,280 --> 00:01:13,360 Speaker 1: I want to talk about all of those things, Um, 20 00:01:13,440 --> 00:01:15,160 Speaker 1: but this, I think this is a great one. I 21 00:01:15,160 --> 00:01:19,160 Speaker 1: think it's something that is missing from our massive archive. 22 00:01:19,240 --> 00:01:22,319 Speaker 1: And I'm so happy to have you here today to 23 00:01:22,360 --> 00:01:26,920 Speaker 1: talk about it. Yeah, yeah, And so we're going to 24 00:01:26,959 --> 00:01:31,240 Speaker 1: be looking into questions of Asian American identity, what that 25 00:01:31,319 --> 00:01:34,600 Speaker 1: means and how it's changed. And this means we're gonna 26 00:01:34,600 --> 00:01:38,920 Speaker 1: be talking about some history, some stereotypes, media representation in politics. 27 00:01:39,000 --> 00:01:43,399 Speaker 1: It's kind of a a lot to cover, um, but 28 00:01:43,480 --> 00:01:45,680 Speaker 1: we're gonna we're gonna cover it. We're gonna do it 29 00:01:46,200 --> 00:01:48,920 Speaker 1: before we dive in. Though. Here's a number for you 30 00:01:49,040 --> 00:01:52,400 Speaker 1: for you listeners to show where we are. There are 31 00:01:52,840 --> 00:01:56,560 Speaker 1: nineteen point five million Asian Americans in the United States 32 00:01:56,600 --> 00:01:59,880 Speaker 1: and that is six percent of the population and it's 33 00:02:00,040 --> 00:02:02,800 Speaker 1: so the fastest growing minority group in the country for now. 34 00:02:03,520 --> 00:02:06,640 Speaker 1: Recent movies and shows like Crazy Rich Asians and Fresh 35 00:02:06,640 --> 00:02:09,120 Speaker 1: off the Boat have given Asian Americans a lot more 36 00:02:09,200 --> 00:02:12,160 Speaker 1: visibility and mainstream culture in the last few years too. 37 00:02:12,880 --> 00:02:15,360 Speaker 1: And like many racial groups, they're extremely diverse and have 38 00:02:15,560 --> 00:02:18,720 Speaker 1: different histories. You know, for example, what a lot of 39 00:02:18,760 --> 00:02:20,640 Speaker 1: people think about when they take of Asian Americans as 40 00:02:20,639 --> 00:02:23,200 Speaker 1: people who recently immigrated to the United States, maybe only 41 00:02:23,200 --> 00:02:25,840 Speaker 1: in the last few decades, but other Asian American groups 42 00:02:25,840 --> 00:02:29,840 Speaker 1: have been here for centuries. Yes, And that is a 43 00:02:29,840 --> 00:02:35,320 Speaker 1: good segue to talk about some history. So I, as 44 00:02:35,400 --> 00:02:38,640 Speaker 1: listeners of the show probably know, I'm a huge and 45 00:02:38,800 --> 00:02:40,760 Speaker 1: of talking about history. I love history, and I think 46 00:02:40,760 --> 00:02:44,000 Speaker 1: it's important to better understand the factors that play in 47 00:02:44,000 --> 00:02:48,760 Speaker 1: this conversation around Asian American identity, and history does play 48 00:02:48,800 --> 00:02:54,360 Speaker 1: a significant role in shaping our ideas around identity. And 49 00:02:54,400 --> 00:02:57,280 Speaker 1: when we're talking about Asian immigration to the United States, 50 00:02:57,520 --> 00:03:01,000 Speaker 1: the history is typically broken down into two main waves, 51 00:03:01,040 --> 00:03:03,360 Speaker 1: which when you first start explaining this to me, I 52 00:03:03,400 --> 00:03:05,399 Speaker 1: was like, I thought we were talking about the first 53 00:03:05,400 --> 00:03:08,960 Speaker 1: and second wave of feminism. But there are two main 54 00:03:09,040 --> 00:03:13,040 Speaker 1: waves of Asian American Asian immigration to the United States. 55 00:03:13,160 --> 00:03:14,919 Speaker 1: Lots of ways, it's just a lot of ocean imagery. 56 00:03:15,680 --> 00:03:18,280 Speaker 1: I do like ocean imagery calms me down when I'm 57 00:03:18,280 --> 00:03:20,240 Speaker 1: trying to sleep at night. I have a white noise 58 00:03:20,280 --> 00:03:28,600 Speaker 1: machine waves Wow. Indeed, so the history is obviously going 59 00:03:28,639 --> 00:03:32,360 Speaker 1: to be very condensed. But here we go. Here's some basics. 60 00:03:33,000 --> 00:03:35,640 Speaker 1: If we look at the first wave, some of the 61 00:03:35,680 --> 00:03:39,160 Speaker 1: first Asians to come to America were Filipino sailors. Towards 62 00:03:39,160 --> 00:03:43,200 Speaker 1: the end of the fifteen hundreds and half died on 63 00:03:43,360 --> 00:03:47,480 Speaker 1: the journey. Of those that survived, most did not want 64 00:03:47,520 --> 00:03:50,960 Speaker 1: to make the return trip over the Pacific. I wouldn't either, 65 00:03:51,600 --> 00:03:56,160 Speaker 1: so they stayed. If we jump ahead, more Asian immigrants 66 00:03:56,200 --> 00:03:58,760 Speaker 1: arrived in the seventeen hundreds and eighteen hundreds, and many 67 00:03:58,800 --> 00:04:03,600 Speaker 1: instances fleeing from poor situations as a result of colonialism. 68 00:04:03,640 --> 00:04:07,600 Speaker 1: But often what they escaped to was indentured servitude on 69 00:04:07,680 --> 00:04:11,280 Speaker 1: tobacco and sugar plantations in the British West Indies, Hawaii, 70 00:04:11,320 --> 00:04:14,640 Speaker 1: and the southern United States. They were tricks and lied 71 00:04:14,680 --> 00:04:17,760 Speaker 1: to to make these dangerous journeys and then take on 72 00:04:17,920 --> 00:04:21,720 Speaker 1: these difficult, often dangerous jobs for five years before they 73 00:04:21,760 --> 00:04:27,240 Speaker 1: gained freedom. These indentured laborers, called coolies, were mostly men, 74 00:04:27,279 --> 00:04:29,720 Speaker 1: but some women were hired, mostly as a way to 75 00:04:29,800 --> 00:04:32,719 Speaker 1: keep the men from outright revolting because there were no women. 76 00:04:33,640 --> 00:04:36,640 Speaker 1: After these five years were up, many stayed, either out 77 00:04:36,640 --> 00:04:39,800 Speaker 1: of shame at their earnings or because they had married 78 00:04:39,800 --> 00:04:42,680 Speaker 1: a local who could not or would not make the 79 00:04:42,760 --> 00:04:46,120 Speaker 1: journey back. And speaking of difficult jobs, if we look 80 00:04:46,160 --> 00:04:49,279 Speaker 1: at the gold Rush in California, a lot of Asian immigrants, 81 00:04:49,320 --> 00:04:53,320 Speaker 1: particularly Chinese immigrants, found employment working on the construction of 82 00:04:53,440 --> 00:04:56,800 Speaker 1: railroads in that state. As more and more arrived, they 83 00:04:56,800 --> 00:05:02,880 Speaker 1: were harshly discriminated against called swine rats or beast and 84 00:05:03,080 --> 00:05:05,440 Speaker 1: sidebar that I found super interesting, but there's no time 85 00:05:05,520 --> 00:05:10,200 Speaker 1: to include it in this episode. During this time, laundry 86 00:05:10,320 --> 00:05:13,839 Speaker 1: was very expensive in San Francisco, so much so that 87 00:05:13,880 --> 00:05:16,440 Speaker 1: it was cheaper to send your clothes to Honolulu to 88 00:05:16,480 --> 00:05:20,240 Speaker 1: get them washed. That blows my mind. Chinese immigrants saw 89 00:05:20,240 --> 00:05:22,719 Speaker 1: an opportunity and they went for it, and this was 90 00:05:22,720 --> 00:05:26,520 Speaker 1: an industry that they were allowed to have success in, 91 00:05:27,680 --> 00:05:31,000 Speaker 1: not so for other industries. As a result of the 92 00:05:31,040 --> 00:05:34,359 Speaker 1: influx of Chinese immigrants and fears of that the cheap 93 00:05:34,440 --> 00:05:38,479 Speaker 1: labor force that they provided to less than scrupulous employers, 94 00:05:39,080 --> 00:05:41,839 Speaker 1: fears that this labor force was undercutting the wage of 95 00:05:41,960 --> 00:05:46,080 Speaker 1: white Americans, the Supreme Court passed the Chinese Exclusion Act 96 00:05:46,279 --> 00:05:49,320 Speaker 1: in eighteen eighty two, which prohibited low skilled and family 97 00:05:49,320 --> 00:05:53,240 Speaker 1: immigration from that country. This law wasn't repealed until nine 98 00:05:54,160 --> 00:05:56,760 Speaker 1: and is, in the words of Too Young Fun, the 99 00:05:56,839 --> 00:06:00,000 Speaker 1: only federal law ever to exclude a group of people 100 00:06:00,240 --> 00:06:06,159 Speaker 1: by nationality. Some of this might sound disturbingly familiar. As 101 00:06:06,240 --> 00:06:10,159 Speaker 1: part of this law, the government deployed quote Chinese catchers 102 00:06:10,200 --> 00:06:12,880 Speaker 1: to the Mexican US border, and the Secretary of Labor 103 00:06:12,960 --> 00:06:16,640 Speaker 1: set of the issue. Not even a Chinese wall would 104 00:06:16,640 --> 00:06:19,600 Speaker 1: stop immigrants from China, and it is so wild it 105 00:06:19,800 --> 00:06:26,400 Speaker 1: is it's disturbingly familiar. In eight seventy one, the largest 106 00:06:26,560 --> 00:06:29,280 Speaker 1: mass lynching in American history took place in Los Angeles 107 00:06:29,320 --> 00:06:32,760 Speaker 1: when a mob of five hundred murdered seventeen Chinese men, 108 00:06:33,760 --> 00:06:38,240 Speaker 1: and a couple of years later, Kaiser Wilhelm awoke from 109 00:06:38,240 --> 00:06:41,320 Speaker 1: a bad dream and then obviously requested a painting be 110 00:06:41,360 --> 00:06:45,559 Speaker 1: done depicting the archangel Michael terrorized by a vicious mob 111 00:06:45,680 --> 00:06:50,919 Speaker 1: of Easterners, perfectly exemplifying the Yellow Peril as it was called. 112 00:06:52,600 --> 00:06:57,120 Speaker 1: And we've spoken before about how in Western society Asian 113 00:06:57,160 --> 00:07:00,680 Speaker 1: men and Eastern culture at large was and often is 114 00:07:00,920 --> 00:07:05,279 Speaker 1: portrayed as a feminine, a k A weaker. Take this 115 00:07:05,400 --> 00:07:08,320 Speaker 1: quote from the president of the American Federation of Labor 116 00:07:08,440 --> 00:07:10,880 Speaker 1: at the time. From the fact that Chinese people lived 117 00:07:10,880 --> 00:07:18,600 Speaker 1: in America meet versus Rice, American manhood versus Asiatic julism, 118 00:07:18,640 --> 00:07:21,160 Speaker 1: you can see the sentiment swell in times of perceived 119 00:07:21,200 --> 00:07:24,120 Speaker 1: economic threat by an Asian country or countries, like during 120 00:07:24,120 --> 00:07:27,800 Speaker 1: the eighties with Japan's technological prowess. If you watch pretty 121 00:07:27,840 --> 00:07:31,920 Speaker 1: much any eighties romantic comedy, you'll know what I'm talking about. 122 00:07:33,720 --> 00:07:36,800 Speaker 1: And I um also side note on the other show 123 00:07:36,880 --> 00:07:39,280 Speaker 1: that I do, which is all about food and drink 124 00:07:39,480 --> 00:07:42,080 Speaker 1: Um Savor. We did an episode on tea and I 125 00:07:42,160 --> 00:07:44,920 Speaker 1: ran across an idea that I didn't get more into, 126 00:07:44,960 --> 00:07:49,000 Speaker 1: but I would love to. But the work I was 127 00:07:49,040 --> 00:07:53,680 Speaker 1: reading the authors suggested that the reason tea is feminized 128 00:07:54,600 --> 00:07:58,280 Speaker 1: as more of something that lady like tea time um 129 00:07:58,400 --> 00:08:01,679 Speaker 1: is because it came from the East, as opposed to coffee, 130 00:08:01,720 --> 00:08:07,440 Speaker 1: which was more like man gender drinks. You can't uh 131 00:08:07,840 --> 00:08:10,600 Speaker 1: not gender anything in the entire history of the world. 132 00:08:10,720 --> 00:08:13,480 Speaker 1: We have to gender everything. It's true. I want to 133 00:08:13,520 --> 00:08:18,200 Speaker 1: do a whole mini series whiskey beer. Lighter drinks are 134 00:08:18,240 --> 00:08:24,840 Speaker 1: for women, Darker drinks are for men. Um future future 135 00:08:24,880 --> 00:08:29,120 Speaker 1: research required. Chinese immigrants were the largest group of Asian 136 00:08:29,160 --> 00:08:33,640 Speaker 1: immigrants at the time, and thus perceived as the most threatening, 137 00:08:33,679 --> 00:08:35,880 Speaker 1: But this was not the only group of Asian immigrants 138 00:08:36,000 --> 00:08:40,160 Speaker 1: arriving to the United States, and not, of course, unfortunately, 139 00:08:40,559 --> 00:08:44,240 Speaker 1: the only one to be negatively stereotyped. The United States 140 00:08:44,280 --> 00:08:48,600 Speaker 1: Immigration Commission deemed Indians as the quote least desirable race 141 00:08:48,640 --> 00:08:53,000 Speaker 1: of immigrants in nineteen eleven, after the editor of Washington's 142 00:08:53,160 --> 00:08:57,000 Speaker 1: Bellingham Reveal called Hindus quote repulsive an appearance and discussing 143 00:08:57,040 --> 00:09:00,880 Speaker 1: in their manners, the town mobbed together there to quote 144 00:09:01,000 --> 00:09:03,640 Speaker 1: drive out the Hindus over the course of a night 145 00:09:03,679 --> 00:09:08,440 Speaker 1: in nineteen or seven, and they were successful. Around this time, 146 00:09:08,480 --> 00:09:12,240 Speaker 1: we start seeing some laws and policy relevant to this 147 00:09:12,320 --> 00:09:16,520 Speaker 1: conversation popping up across the country. There was the California 148 00:09:16,600 --> 00:09:19,599 Speaker 1: Alien Land Law of nineteen thirteen, which was designed to 149 00:09:19,640 --> 00:09:23,920 Speaker 1: prevent Asians from competing with white businesses and farms. And 150 00:09:23,920 --> 00:09:28,520 Speaker 1: then there's my favorite, uh splash, most terrifying UM Supreme 151 00:09:28,559 --> 00:09:32,880 Speaker 1: Court ruling in three that defined what racist basically and 152 00:09:33,200 --> 00:09:35,800 Speaker 1: limited who could become a natural citizen, which is where 153 00:09:35,800 --> 00:09:39,120 Speaker 1: an Indian seek man named Bugget sing Tin, who had 154 00:09:39,120 --> 00:09:41,480 Speaker 1: served in the US Army during World War One, I 155 00:09:41,480 --> 00:09:44,520 Speaker 1: wanted to become a citizen, so he tried and failed 156 00:09:44,559 --> 00:09:47,280 Speaker 1: in his case reached the Supreme Court, which had decided 157 00:09:47,320 --> 00:09:50,480 Speaker 1: in another case that being white men being Caucasian, so 158 00:09:50,720 --> 00:09:53,480 Speaker 1: Mr Tinn argued that he too was Caucasian because he 159 00:09:53,559 --> 00:09:56,840 Speaker 1: was Arian. Kids Arians have conquered India and then fifteen 160 00:09:56,920 --> 00:09:59,520 Speaker 1: hundreds and since he belonged to a high cast in India, 161 00:09:59,760 --> 00:10:03,320 Speaker 1: but the Supreme Court decided that, given the common understanding 162 00:10:03,320 --> 00:10:05,920 Speaker 1: of race in the United States, Tim couldn't be white 163 00:10:05,960 --> 00:10:08,560 Speaker 1: because there had been too much quote unquote racial mixing 164 00:10:09,160 --> 00:10:12,440 Speaker 1: between different people uh in India. So what that meant 165 00:10:12,480 --> 00:10:15,920 Speaker 1: was that South Asians couldn't become naturalized citizens for a 166 00:10:15,960 --> 00:10:22,000 Speaker 1: few decades after that. Yeah, and I think I mentioned 167 00:10:22,080 --> 00:10:26,160 Speaker 1: to you earlier because my brain is strange sometimes, but 168 00:10:26,760 --> 00:10:31,800 Speaker 1: I was somehow I've become an expert on spam. Don't 169 00:10:31,840 --> 00:10:36,240 Speaker 1: ask me how what this has happened. And one of 170 00:10:36,280 --> 00:10:42,320 Speaker 1: the reasons that spam it's still popular in Hawaii and 171 00:10:42,559 --> 00:10:46,199 Speaker 1: um other parts of South Asia is because of World 172 00:10:46,240 --> 00:10:50,640 Speaker 1: War Two, but also laws like this where um there 173 00:10:50,840 --> 00:10:54,640 Speaker 1: was a law put in place that Japanese fisherman couldn't 174 00:10:54,920 --> 00:10:57,960 Speaker 1: can Basically it didn't say this, but it was to 175 00:10:58,120 --> 00:11:01,240 Speaker 1: limit the competition with American fisherman that they couldn't they 176 00:11:01,280 --> 00:11:04,080 Speaker 1: could only fish within like a mile radius or something. 177 00:11:04,720 --> 00:11:09,280 Speaker 1: And that is why that spam is so popular in Hawaii, 178 00:11:09,320 --> 00:11:13,440 Speaker 1: for instance, spam asuvi. And also it is an interesting 179 00:11:14,080 --> 00:11:20,280 Speaker 1: culmination of different ingredients because there was all this spam 180 00:11:20,520 --> 00:11:23,320 Speaker 1: from World War two that was on the island and 181 00:11:24,200 --> 00:11:28,040 Speaker 1: all of these immigrants who were there as well, and 182 00:11:28,320 --> 00:11:31,120 Speaker 1: the cuisine kind of adopted spam in a way that 183 00:11:31,240 --> 00:11:33,640 Speaker 1: is very delicious. And when I a lot of people 184 00:11:33,679 --> 00:11:36,360 Speaker 1: I know, including me, for a long time, just thought 185 00:11:36,360 --> 00:11:39,120 Speaker 1: of spams like this growth, like it comes out and 186 00:11:39,160 --> 00:11:41,880 Speaker 1: it stays in the shape, even it's like a solider 187 00:11:42,120 --> 00:11:45,240 Speaker 1: wid exactly. You've got a lot of questions about what's 188 00:11:45,240 --> 00:11:48,400 Speaker 1: going on, what should I do with it? But it 189 00:11:48,440 --> 00:11:51,000 Speaker 1: has really been adopted in the cuisine there, and I 190 00:11:51,080 --> 00:11:55,880 Speaker 1: would put forth that it is pretty good. All right, 191 00:11:55,880 --> 00:11:58,040 Speaker 1: I'm gonna go look up some spam recipes after this. 192 00:11:58,400 --> 00:12:02,200 Speaker 1: Oh you should. If I can convert one person. I 193 00:12:02,200 --> 00:12:04,959 Speaker 1: don't know why, I don't know how this has happened. Well, 194 00:12:05,080 --> 00:12:08,960 Speaker 1: we'll open the trendy span restaurant. Will be great. Don't 195 00:12:09,000 --> 00:12:11,240 Speaker 1: even joke about it. I would do it. I would 196 00:12:11,240 --> 00:12:14,240 Speaker 1: do it. Not hurt beat alright, But going back to 197 00:12:14,360 --> 00:12:20,200 Speaker 1: depressing laws. A year later, in an American policy was 198 00:12:20,240 --> 00:12:23,320 Speaker 1: passed with the goal of quote preserving the idea of 199 00:12:23,360 --> 00:12:27,880 Speaker 1: American homogenity that pretty much disallowed non whites from immigrating 200 00:12:27,920 --> 00:12:31,720 Speaker 1: to the United States. All immigration from Asia was outlawed 201 00:12:31,720 --> 00:12:35,120 Speaker 1: with the creation of the Asiatic Bard Zone. And this 202 00:12:35,160 --> 00:12:38,720 Speaker 1: was of course swiftly followed by the interment of Japanese 203 00:12:38,720 --> 00:12:42,199 Speaker 1: Americans during and after World War Two, and about a 204 00:12:42,280 --> 00:12:45,600 Speaker 1: hundred and twenty thousand Japanese Americans were interned during that time, 205 00:12:45,640 --> 00:12:48,920 Speaker 1: which is a really substantial number even for now. Yeah, 206 00:12:50,520 --> 00:12:54,480 Speaker 1: and this was followed by the second wave of Asian 207 00:12:54,520 --> 00:12:59,160 Speaker 1: immigration to the United States. The Cold War we have 208 00:12:59,240 --> 00:13:02,440 Speaker 1: to talk about the Old War in this conversation shifted 209 00:13:02,480 --> 00:13:07,240 Speaker 1: American focus and fears elsewhere, especially for Asian nations not 210 00:13:07,520 --> 00:13:11,440 Speaker 1: viewed as threats. The Civil Rights Movement led to President 211 00:13:11,520 --> 00:13:15,120 Speaker 1: Lyndon B. Johnson signing nineteen six Immigration and Nationality Act, 212 00:13:15,160 --> 00:13:17,840 Speaker 1: which got rid of racial quotas and made room for 213 00:13:18,000 --> 00:13:21,600 Speaker 1: skills and family based immigration. However, we should keep in 214 00:13:21,640 --> 00:13:25,240 Speaker 1: mind this wasn't done with Asians in mind, but rather 215 00:13:25,840 --> 00:13:32,720 Speaker 1: vocal and annoyed Northern Europeans. This act, of course impacted 216 00:13:32,760 --> 00:13:34,880 Speaker 1: the type of immigrants that came to the United States 217 00:13:34,920 --> 00:13:37,480 Speaker 1: and made way for some stereotypes that we're going to 218 00:13:37,520 --> 00:13:42,160 Speaker 1: get into later. Whatever the case, Asians immigrated to the 219 00:13:42,240 --> 00:13:44,640 Speaker 1: United States all the same, resulting in the second wave 220 00:13:44,679 --> 00:13:47,120 Speaker 1: of Asian immigrants and in the mind of Erica Lee, 221 00:13:47,280 --> 00:13:51,200 Speaker 1: author of the Making of Asian America History, creating too 222 00:13:51,760 --> 00:13:56,439 Speaker 1: often discordant Asian America's After the events at Tinaman Square, 223 00:13:56,480 --> 00:13:59,920 Speaker 1: the US enacted the Chinese Student Protection Act in and 224 00:14:00,320 --> 00:14:05,160 Speaker 1: that meant that green cards were given to Chinese immigrants, 225 00:14:05,280 --> 00:14:09,600 Speaker 1: which also contributed to this whole second wave. And that 226 00:14:10,120 --> 00:14:14,199 Speaker 1: more or less brings us to today, to these discordant 227 00:14:14,240 --> 00:14:20,560 Speaker 1: Asian Americas and two questions around identity and stereotypes. But 228 00:14:20,720 --> 00:14:22,920 Speaker 1: first it brings us to a quick break for a 229 00:14:22,960 --> 00:14:35,320 Speaker 1: word from our sponsor, m and we're back, thank you, sponsor. 230 00:14:37,040 --> 00:14:42,400 Speaker 1: So another piece of this conversation is stereotypes, where they 231 00:14:42,440 --> 00:14:44,840 Speaker 1: come from, how they shape how we view people and 232 00:14:44,920 --> 00:14:48,960 Speaker 1: ourselves and our identity, and how they impact everything on 233 00:14:49,000 --> 00:14:51,480 Speaker 1: a societal level. And I know we've talked about it before, 234 00:14:51,560 --> 00:14:56,120 Speaker 1: but policies get made, laws get enacted based on representation, 235 00:14:56,560 --> 00:15:00,200 Speaker 1: what we see in the media, and stereotypes. It's out. 236 00:15:00,960 --> 00:15:03,320 Speaker 1: Let's get into it. One of the first ones that 237 00:15:03,400 --> 00:15:06,440 Speaker 1: we wanted to talk about was the model minority. I 238 00:15:06,440 --> 00:15:09,960 Speaker 1: think that's like the most pervasive one for sure, in 239 00:15:09,960 --> 00:15:11,840 Speaker 1: a variety of different ways. You know, it's not just 240 00:15:11,920 --> 00:15:14,640 Speaker 1: like this is like a term that was coined that 241 00:15:15,680 --> 00:15:18,800 Speaker 1: means that Asians are often pointed to as being the 242 00:15:18,880 --> 00:15:22,760 Speaker 1: group that seemingly high performing academically and soci economically. And 243 00:15:22,800 --> 00:15:26,000 Speaker 1: so you hear, you know, the smart Asian, the doctor 244 00:15:26,120 --> 00:15:29,080 Speaker 1: or engineer Asian, these sorts of things that sounds like 245 00:15:29,120 --> 00:15:33,000 Speaker 1: really good and positive stereotypes. But it's often used to 246 00:15:33,040 --> 00:15:36,560 Speaker 1: deny the existence of structural racism among not only Asian 247 00:15:36,560 --> 00:15:39,680 Speaker 1: Americans but also other non white people, and it's really 248 00:15:39,720 --> 00:15:42,880 Speaker 1: harmful for that reason. I think, you know, most often 249 00:15:42,920 --> 00:15:47,040 Speaker 1: it's used to imply, either explicitly or implicitly, that black 250 00:15:47,040 --> 00:15:50,040 Speaker 1: and Hispanic people are not working hard, because if you 251 00:15:50,040 --> 00:15:52,960 Speaker 1: know Asian Americans can do so well, then clearly other 252 00:15:53,120 --> 00:15:57,320 Speaker 1: groups are not working that hard. But um, you know, 253 00:15:57,360 --> 00:15:59,960 Speaker 1: add that to the tiger moms stereotype that Asian parents 254 00:16:00,040 --> 00:16:02,920 Speaker 1: restricter than other parents or make their kids work harder. Uh, 255 00:16:03,040 --> 00:16:05,840 Speaker 1: and you get this myth of Asian exceptionalism. And that's 256 00:16:05,920 --> 00:16:08,720 Speaker 1: not supported by the disaggregated data that you look at. 257 00:16:09,160 --> 00:16:11,560 Speaker 1: So you know, if you control for education, the Asian 258 00:16:11,560 --> 00:16:15,720 Speaker 1: wage gap advantage disappears. Asian Americans are the most economically 259 00:16:15,760 --> 00:16:19,600 Speaker 1: divided racial group in the country. So you know, Asians 260 00:16:19,640 --> 00:16:22,400 Speaker 1: overall rank as the high stranding group, but if you 261 00:16:22,440 --> 00:16:24,920 Speaker 1: break that out by ethnicity, it shows a wide range 262 00:16:24,920 --> 00:16:28,600 Speaker 1: of incomes. And for example, Chinese Americans have a very 263 00:16:28,680 --> 00:16:32,880 Speaker 1: high income overall, but the top earners are really shrouding 264 00:16:32,920 --> 00:16:34,720 Speaker 1: the fact that there is a high rate of poverty 265 00:16:34,760 --> 00:16:39,240 Speaker 1: among Chinese Americans. And you know, depending on the different ethnicity, 266 00:16:39,600 --> 00:16:42,000 Speaker 1: it can depend on the reasons different immgrant groups came 267 00:16:42,040 --> 00:16:43,960 Speaker 1: to the United States in the first place. Now this 268 00:16:44,000 --> 00:16:47,440 Speaker 1: is true for every racial group. You can disaggregate Hispanics, 269 00:16:47,480 --> 00:16:50,880 Speaker 1: black people, white people and show differences based on ethnicity, 270 00:16:50,960 --> 00:16:54,000 Speaker 1: but it's just so staggering among Asians. So you know, 271 00:16:54,000 --> 00:16:57,160 Speaker 1: sevent of Indian Americans, many who came under the H 272 00:16:57,200 --> 00:17:00,280 Speaker 1: one V VISA program as highly schooled workers, have a 273 00:17:00,320 --> 00:17:02,800 Speaker 1: college degree. But that's only true for a third of 274 00:17:02,880 --> 00:17:06,320 Speaker 1: Vietnamese Americans, many who came as refugees from the Vietnam War, 275 00:17:07,000 --> 00:17:09,280 Speaker 1: and more than one in three Burmese Americans and Boutanies 276 00:17:09,359 --> 00:17:13,080 Speaker 1: Americans are in poverty. And even those who are successful, 277 00:17:13,240 --> 00:17:18,040 Speaker 1: particularly those who came as highly school workers, face stomach racism. 278 00:17:18,080 --> 00:17:20,440 Speaker 1: I think you were talking about the bamboo ceiling, right, Yeah, yeah, 279 00:17:20,520 --> 00:17:23,600 Speaker 1: I found that term when I was reading about Fortune 280 00:17:23,640 --> 00:17:26,760 Speaker 1: and their five top companies, um only three percent of 281 00:17:26,800 --> 00:17:30,320 Speaker 1: those are run by Asians. And it's really interesting that 282 00:17:30,960 --> 00:17:33,600 Speaker 1: you see this discrimination even at the highest level, because 283 00:17:33,640 --> 00:17:38,080 Speaker 1: there's also evidence of discrimination and hiring practices. So researchers 284 00:17:38,160 --> 00:17:41,320 Speaker 1: at Ryerson University in the University of Toronto found that 285 00:17:41,400 --> 00:17:45,240 Speaker 1: job applicants with Chinese, Indian, or Pakistani sounding names were 286 00:17:45,320 --> 00:17:47,520 Speaker 1: twenty eight percent less likely to get called back for 287 00:17:47,560 --> 00:17:50,280 Speaker 1: an interview. And that's something that also affects other non 288 00:17:50,560 --> 00:17:55,880 Speaker 1: minorities too. Yeah. Yeah, is this this model minority thing? 289 00:17:55,960 --> 00:17:59,080 Speaker 1: Is that something that you experienced personally? Oh? Totally. I mean, 290 00:17:59,080 --> 00:18:01,520 Speaker 1: I think there's a definitely like a sense that if 291 00:18:01,520 --> 00:18:03,560 Speaker 1: you're doing well in school in your Asia is just 292 00:18:03,600 --> 00:18:06,760 Speaker 1: like because you're Asian, And I mean, I think there's 293 00:18:06,760 --> 00:18:08,560 Speaker 1: a lot of different things going on there. Maybe you know, 294 00:18:09,359 --> 00:18:13,879 Speaker 1: there's a stereotype, for example, of Indian Americans particularly, but 295 00:18:13,880 --> 00:18:16,840 Speaker 1: Asian Americans generally doing really well in spelling bees. I 296 00:18:16,840 --> 00:18:18,560 Speaker 1: don't know if you've ever watched the National Spelling be 297 00:18:18,680 --> 00:18:22,320 Speaker 1: but there's always just like a very cute Asian kid 298 00:18:22,359 --> 00:18:25,800 Speaker 1: who wins missed the time, and like I definitely was 299 00:18:25,840 --> 00:18:28,159 Speaker 1: also in the spelling be so like some stereotypes may 300 00:18:28,200 --> 00:18:31,919 Speaker 1: be true, but clearly like that's not what happened. You know, 301 00:18:32,000 --> 00:18:34,360 Speaker 1: my dad was an immigrant under this like h ONNBVS 302 00:18:34,400 --> 00:18:36,679 Speaker 1: A program, and so that's a very different than being 303 00:18:36,680 --> 00:18:39,760 Speaker 1: an immigrant under different types of circumstances. And I think 304 00:18:39,800 --> 00:18:44,439 Speaker 1: success um and is definitely driven by a lot of 305 00:18:44,440 --> 00:18:51,280 Speaker 1: these different histories. Yeah. I I've been speaking a lot 306 00:18:51,359 --> 00:18:53,920 Speaker 1: to two friends of mine because I recently did UM 307 00:18:53,960 --> 00:18:57,560 Speaker 1: an episode around first UM first generation immigrants, and just 308 00:18:58,000 --> 00:19:01,720 Speaker 1: hearing this this pressure that they felt to represent their 309 00:19:01,760 --> 00:19:05,840 Speaker 1: country and their religion, um I kind of pushed them 310 00:19:05,920 --> 00:19:10,160 Speaker 1: to to do things, and like they felt that they 311 00:19:10,200 --> 00:19:14,840 Speaker 1: had to perform at a level that was really high, 312 00:19:15,080 --> 00:19:17,840 Speaker 1: and that their parents would push them to do that 313 00:19:17,880 --> 00:19:22,200 Speaker 1: as well, because it was like we we're representing our 314 00:19:22,240 --> 00:19:26,199 Speaker 1: whole country totally, totally. I mean, you know, there's this 315 00:19:26,200 --> 00:19:29,040 Speaker 1: really great piece that was published recently in BuzzFeed about 316 00:19:29,320 --> 00:19:33,679 Speaker 1: immigrant debt and this idea that like, um you like, 317 00:19:33,760 --> 00:19:37,320 Speaker 1: so many people who are first generation Americans feel indebted 318 00:19:37,359 --> 00:19:39,560 Speaker 1: to the sacrifices that their parents made coming to this 319 00:19:39,600 --> 00:19:43,040 Speaker 1: country in the first place, and you know, up ending everything, 320 00:19:43,160 --> 00:19:47,600 Speaker 1: coming without money or knowing anyone, um, and just making 321 00:19:47,640 --> 00:19:51,200 Speaker 1: this really difficult journey and then like that their kids 322 00:19:51,200 --> 00:19:53,160 Speaker 1: are just like okay, well, like how do I honor 323 00:19:53,160 --> 00:19:55,600 Speaker 1: that sacrifice? Even though I don't want to, you know, 324 00:19:55,680 --> 00:19:57,800 Speaker 1: do the job that my parents want me to do 325 00:19:58,119 --> 00:20:01,000 Speaker 1: or like do you know going to acathemia or going 326 00:20:01,080 --> 00:20:03,639 Speaker 1: to being a doctor or whatever, like I want to 327 00:20:03,640 --> 00:20:07,159 Speaker 1: be like a journalist bum like myself. For you know, 328 00:20:07,359 --> 00:20:10,040 Speaker 1: I think there's this like a definite pressure that comes 329 00:20:10,119 --> 00:20:14,080 Speaker 1: with wanting to acknowledge and and honor your parents. Uh 330 00:20:14,160 --> 00:20:16,119 Speaker 1: and you know, being the only one in a in 331 00:20:16,280 --> 00:20:19,480 Speaker 1: a classroom or workplace that looks like you, I think 332 00:20:19,520 --> 00:20:23,399 Speaker 1: definitely contributes to that. Yeah, um, do you mind if 333 00:20:23,400 --> 00:20:26,680 Speaker 1: I ask how how your parents that you're going to 334 00:20:27,920 --> 00:20:30,880 Speaker 1: still sault dealing with it like several years after the fact, 335 00:20:30,920 --> 00:20:36,120 Speaker 1: but I think they've we've we've reached a a what's 336 00:20:36,200 --> 00:20:39,920 Speaker 1: what's the word detan I would call it, especially because 337 00:20:39,920 --> 00:20:42,720 Speaker 1: in freelance, they they just think like that. For a while, 338 00:20:42,760 --> 00:20:44,840 Speaker 1: I thought I was unemployed, and I was like no, no, no, 339 00:20:44,880 --> 00:20:47,119 Speaker 1: I'm just like very employed, and just like buy a 340 00:20:47,119 --> 00:20:49,439 Speaker 1: lot of different people and they're like you don't go 341 00:20:49,520 --> 00:20:54,359 Speaker 1: into an office. What are you doing every day? I 342 00:20:54,480 --> 00:20:57,720 Speaker 1: think it's a big ski. I don't I don't know 343 00:20:57,760 --> 00:21:00,840 Speaker 1: what they think I'm doing for money, but they've they've 344 00:21:00,880 --> 00:21:06,960 Speaker 1: definitely approached it with suspicion. Yeah. Yeah, I my parents 345 00:21:07,040 --> 00:21:10,359 Speaker 1: still tell people like, I'm basically I'm not sure what 346 00:21:10,440 --> 00:21:13,760 Speaker 1: she does. Yeah, exactly. So very honoring to hear that. 347 00:21:16,240 --> 00:21:21,440 Speaker 1: Something else we have to talk about, UM is exoticizing, 348 00:21:21,520 --> 00:21:24,919 Speaker 1: our fetishizing of Asian women, because I would wager that 349 00:21:25,000 --> 00:21:28,880 Speaker 1: when I say fetish, two things come to mind. One 350 00:21:29,000 --> 00:21:33,679 Speaker 1: is foot fetish and the other is Asian fetish, Asian 351 00:21:33,720 --> 00:21:38,160 Speaker 1: woman fetish. Yeah, it is a huge part of being 352 00:21:38,359 --> 00:21:42,880 Speaker 1: Asian American and being woman or woman presenting in this country. 353 00:21:42,920 --> 00:21:47,240 Speaker 1: And um, I think there is uh, you know, particularly 354 00:21:47,280 --> 00:21:50,080 Speaker 1: with Asian women with East and Southeast Asian heritage. UM, 355 00:21:50,200 --> 00:21:55,160 Speaker 1: I think our fetishizers being you know, submissive, it's extremely 356 00:21:55,200 --> 00:21:59,280 Speaker 1: sexual or other stereotypes that are really damaging. UM. And 357 00:22:00,000 --> 00:22:02,000 Speaker 1: and like being fetishized mite so much a good thing, 358 00:22:02,080 --> 00:22:04,440 Speaker 1: but I think for most women, like we know it's 359 00:22:04,480 --> 00:22:10,680 Speaker 1: not and you know, con signal how Asian and another 360 00:22:10,760 --> 00:22:13,440 Speaker 1: non white women are authorised and stereotyped and they are 361 00:22:13,480 --> 00:22:18,560 Speaker 1: just seen as this like object or thing or non 362 00:22:18,720 --> 00:22:25,240 Speaker 1: human entity. Yeah, because it's really dehumanizing. I have UM. 363 00:22:25,280 --> 00:22:28,240 Speaker 1: I have a friend who is online dating and she 364 00:22:28,800 --> 00:22:33,159 Speaker 1: is Asian, and she tells me that she has a 365 00:22:33,200 --> 00:22:37,199 Speaker 1: couple of rules, and one is if someone asks her 366 00:22:37,560 --> 00:22:39,960 Speaker 1: where you're from, but where really where you're from, she's 367 00:22:40,000 --> 00:22:44,560 Speaker 1: immediately note goodbye, um. And another is that it's not 368 00:22:44,600 --> 00:22:50,800 Speaker 1: really rule. But she's just as very nervous about people, um, 369 00:22:50,960 --> 00:22:55,240 Speaker 1: particularly white men who it seems that they've just dated 370 00:22:55,359 --> 00:22:58,760 Speaker 1: Asian women. That's a huge red flag. I mean particularly 371 00:22:58,840 --> 00:23:00,960 Speaker 1: with white men too. I would say, like when of 372 00:23:01,040 --> 00:23:03,480 Speaker 1: dated whitemen the past, it's been like, have you only 373 00:23:03,560 --> 00:23:05,600 Speaker 1: dated Asian women? Because it's a huge problem. But also 374 00:23:05,640 --> 00:23:08,120 Speaker 1: in mind the only like non white person you've ever dated, 375 00:23:08,119 --> 00:23:10,520 Speaker 1: because it's also a problem. I don't want to be either. 376 00:23:10,560 --> 00:23:12,640 Speaker 1: The two things you have to have had like one 377 00:23:12,760 --> 00:23:16,200 Speaker 1: like your past that like okay, but lets this makes 378 00:23:16,200 --> 00:23:19,560 Speaker 1: me feel better, like I'm not like the first one, 379 00:23:20,160 --> 00:23:24,120 Speaker 1: but also not like the eighth one. Exactly. You get 380 00:23:24,160 --> 00:23:27,200 Speaker 1: a balance. You got to find that balance. I love 381 00:23:28,040 --> 00:23:32,360 Speaker 1: hearing people's personal dating rules, and I I would love 382 00:23:32,400 --> 00:23:35,080 Speaker 1: to do a whole episode that's just like tell me 383 00:23:35,119 --> 00:23:37,359 Speaker 1: your dating rules and why that would be great, I 384 00:23:37,400 --> 00:23:42,840 Speaker 1: think be fascinating. But this whole fetishizing of Asian women 385 00:23:42,920 --> 00:23:47,760 Speaker 1: is colloquially called yellow fever and also rice queens, when 386 00:23:47,840 --> 00:23:52,240 Speaker 1: queer men fetishize Asian men, and we see this everywhere 387 00:23:52,240 --> 00:23:54,640 Speaker 1: in our culture. It was even a bit in one 388 00:23:54,640 --> 00:23:58,080 Speaker 1: of comedian Amy Schumer's stand up routines. She said, quote, 389 00:23:58,119 --> 00:24:02,240 Speaker 1: I can't compete with an Asian chip because punchline, they 390 00:24:02,280 --> 00:24:06,240 Speaker 1: have small vaginas. That's how omnipresent this feci is in 391 00:24:06,280 --> 00:24:09,760 Speaker 1: our culture. It is a joke, yeah, and it's it's 392 00:24:09,760 --> 00:24:12,439 Speaker 1: hamered home in all types of media. I mean, if 393 00:24:12,480 --> 00:24:16,119 Speaker 1: you ever watched anime or manga, which like most women 394 00:24:16,320 --> 00:24:18,880 Speaker 1: in there are even hyper sexualized, and that's off that's 395 00:24:18,920 --> 00:24:21,320 Speaker 1: from an Asian country, Japan. You know, there are a 396 00:24:21,359 --> 00:24:23,480 Speaker 1: lot of things contributing to this and it has real 397 00:24:23,480 --> 00:24:27,240 Speaker 1: world effects. A study conducted by the dating app Are 398 00:24:27,280 --> 00:24:30,560 Speaker 1: You Interested found that Asian women were the most desirable group, 399 00:24:30,640 --> 00:24:35,200 Speaker 1: not just among white men, but all men except Asian men. Yeah. 400 00:24:35,240 --> 00:24:36,960 Speaker 1: I think I think the study found out like almost 401 00:24:37,000 --> 00:24:42,320 Speaker 1: every group preferred different races, but for some reason, Asian 402 00:24:42,320 --> 00:24:44,920 Speaker 1: women were the most desirable, but the study I think 403 00:24:44,920 --> 00:24:48,360 Speaker 1: you found was less than rigorous, right, yeah uh. And 404 00:24:48,560 --> 00:24:52,640 Speaker 1: there are also findings from Okay Cupid as sociologist sociologist 405 00:24:52,680 --> 00:24:55,840 Speaker 1: named Kevin Lewis, and he found that all groups prefer 406 00:24:55,960 --> 00:24:58,440 Speaker 1: to strike camp a conversation with someone of their own race, 407 00:24:59,119 --> 00:25:03,320 Speaker 1: all except Asian women again that preferred messaging white men. 408 00:25:04,440 --> 00:25:07,680 Speaker 1: A Psychology Today article looking at this phenomena, I've found 409 00:25:07,680 --> 00:25:09,600 Speaker 1: that a lot of non Asian men held a belief 410 00:25:09,720 --> 00:25:13,520 Speaker 1: about Asian women that they are submissive, particularly when it 411 00:25:13,560 --> 00:25:17,840 Speaker 1: comes to sex. As one respondent put it, quote, women 412 00:25:18,000 --> 00:25:21,280 Speaker 1: want a princess in public and a horror in the bedroom. 413 00:25:21,800 --> 00:25:25,000 Speaker 1: Simple as that. They're just not asking a lot. They 414 00:25:25,080 --> 00:25:29,040 Speaker 1: just want princess public and the great words of ussher 415 00:25:29,280 --> 00:25:34,080 Speaker 1: freaking cheets, lady lady in the streets from the bed. 416 00:25:34,160 --> 00:25:37,080 Speaker 1: Oh yeah. And it's not even Usher, it's somebody else, 417 00:25:37,080 --> 00:25:39,400 Speaker 1: but it's an US your song. I know much about 418 00:25:39,400 --> 00:25:41,680 Speaker 1: pop culture. I want to say it's a little John's first, 419 00:25:41,720 --> 00:25:43,240 Speaker 1: so that I could be If I'm wrong on that, 420 00:25:43,320 --> 00:25:50,000 Speaker 1: it'll be very embarrassing. We'll flag that to come back correction. 421 00:25:51,359 --> 00:25:54,919 Speaker 1: And there are centuries of history and culture that have 422 00:25:55,040 --> 00:25:58,199 Speaker 1: gone into the construction of the stereotype. Starting with the 423 00:25:58,280 --> 00:26:03,280 Speaker 1: opening of trade but tween Asia and Europe, so art 424 00:26:03,320 --> 00:26:06,600 Speaker 1: depicting gisha's made its way to Europe that would then 425 00:26:06,680 --> 00:26:12,080 Speaker 1: be highly sexualized for the Western Mail. And I was 426 00:26:12,160 --> 00:26:14,320 Speaker 1: reading an essay about this, and I think it is 427 00:26:14,320 --> 00:26:17,919 Speaker 1: worth bringing up. Just remember that the Western Mail at 428 00:26:17,920 --> 00:26:24,200 Speaker 1: this time was living in a very repressive sexually culture. Um, 429 00:26:24,240 --> 00:26:27,160 Speaker 1: you know women women as well, like that, they all 430 00:26:27,240 --> 00:26:35,480 Speaker 1: everyone was not allowed to openly express sexual desire. It 431 00:26:35,600 --> 00:26:38,639 Speaker 1: was very frowned upon. You would go to hell like 432 00:26:38,720 --> 00:26:41,440 Speaker 1: it was frightening, Like we laugh about it now, but yeah, 433 00:26:41,480 --> 00:26:44,439 Speaker 1: women didn't show their ankles. Um, so this new this 434 00:26:44,600 --> 00:26:49,960 Speaker 1: art is coming in that isn't so covering up and hot, 435 00:26:50,040 --> 00:26:55,120 Speaker 1: shying away from the human body. Uh. And then if 436 00:26:55,160 --> 00:26:58,040 Speaker 1: we move away, I'll move forward a little bit to 437 00:26:59,240 --> 00:27:04,400 Speaker 1: French author here Loti pens Madame croissantem And it really 438 00:27:04,520 --> 00:27:08,640 Speaker 1: can't be understated the impact this had on shaping how 439 00:27:08,720 --> 00:27:14,600 Speaker 1: Westerners viewed Asian women, and specifically Japanese women. In Loti's lifetime, 440 00:27:14,640 --> 00:27:18,240 Speaker 1: it was reprinted over two hundred times and translated into 441 00:27:18,280 --> 00:27:23,439 Speaker 1: every European language. It follows a naval officer who takes 442 00:27:23,520 --> 00:27:26,960 Speaker 1: a temporary wife while stationed in Japan, one that is 443 00:27:27,200 --> 00:27:29,720 Speaker 1: doll like and a lot of the words that are 444 00:27:29,800 --> 00:27:34,199 Speaker 1: used to describe this this character are small, dainty words 445 00:27:34,320 --> 00:27:39,000 Speaker 1: that I would associate with being submissive. And if this 446 00:27:39,080 --> 00:27:43,040 Speaker 1: story sounds familiar, it could be because it is generally 447 00:27:43,040 --> 00:27:47,000 Speaker 1: accepted to have inspired the opera Madama Butterfly, first performed 448 00:27:47,000 --> 00:27:50,560 Speaker 1: in nineteen o four, very similar story. It follows an 449 00:27:50,600 --> 00:27:53,480 Speaker 1: American officer who takes a temporary wife all in Japan, 450 00:27:53,600 --> 00:27:56,240 Speaker 1: but then leaves her behind to marry a white American 451 00:27:56,280 --> 00:27:59,560 Speaker 1: woman at the end of his service, but not before 452 00:28:00,040 --> 00:28:04,400 Speaker 1: his temporary Japanese wife sacrifices her religion, her family, her son, 453 00:28:04,840 --> 00:28:08,440 Speaker 1: and then takes her own life all for this man 454 00:28:09,200 --> 00:28:12,520 Speaker 1: who left her. And if you haven't seen Madama Butterfly, 455 00:28:12,600 --> 00:28:16,720 Speaker 1: but that story still sounds familiar, perhaps you saw the 456 00:28:16,800 --> 00:28:21,359 Speaker 1: reworked version that takes place in Vietnam Miss Saigon, which 457 00:28:21,640 --> 00:28:25,760 Speaker 1: since its premiere in has been performed all over the 458 00:28:25,760 --> 00:28:29,639 Speaker 1: world and still turns a profit. Now there is this 459 00:28:30,240 --> 00:28:35,560 Speaker 1: kind of compliment to the Madama Butterfly stereotype archetype, and 460 00:28:35,640 --> 00:28:39,280 Speaker 1: that is the dragon Lady, which kind of emerged, you know, 461 00:28:40,840 --> 00:28:43,800 Speaker 1: two thousands. I would say it became popularized. But this 462 00:28:43,880 --> 00:28:48,400 Speaker 1: is kind of the sexy assassin who can do martial arts, 463 00:28:48,400 --> 00:28:56,040 Speaker 1: but essentially still is very one dimensional, very uh stereotyped character. 464 00:28:56,240 --> 00:28:59,520 Speaker 1: We're talking like kill Bill style, Yes, maybe Charlie's Angels, 465 00:28:59,600 --> 00:29:06,880 Speaker 1: Lucy Yeah, Rush Hour to Yeah. Man, I can't believe. 466 00:29:06,920 --> 00:29:09,200 Speaker 1: I'm so glad you knew it. I've seen the movie 467 00:29:09,560 --> 00:29:13,320 Speaker 1: maybe hundred times, but the first one I've seen like 468 00:29:13,360 --> 00:29:15,760 Speaker 1: maybe fifty, But like the second one, do you really 469 00:29:15,760 --> 00:29:19,680 Speaker 1: went in? Oh? Man? A classic? We're Destined to be Friends. 470 00:29:21,920 --> 00:29:24,960 Speaker 1: The US is um, the US Armies president throughout Asia 471 00:29:25,080 --> 00:29:27,400 Speaker 1: during and after World War two and the Korean War 472 00:29:27,480 --> 00:29:32,080 Speaker 1: and the Vietnam War cemented this sexualized perception of Asian women. 473 00:29:32,720 --> 00:29:37,600 Speaker 1: So called juicy bars and brothels established selves around military 474 00:29:37,640 --> 00:29:42,640 Speaker 1: camps within exclusive US soldier clientele. For a lot of 475 00:29:42,680 --> 00:29:45,320 Speaker 1: these men that this was their first exposure to Asian women, 476 00:29:45,360 --> 00:29:49,040 Speaker 1: and it was through sex workers. And the aftermath of 477 00:29:49,080 --> 00:29:51,280 Speaker 1: the Korean and Vietnam Wars, a lot of Asian women 478 00:29:51,320 --> 00:29:54,120 Speaker 1: and children were airlifted out and brought to the United States, 479 00:29:54,480 --> 00:29:58,640 Speaker 1: giving rise to a savior narrative and it started appearing 480 00:29:58,720 --> 00:30:02,520 Speaker 1: in our media. Yeah. And and many Asian American men, 481 00:30:02,680 --> 00:30:05,160 Speaker 1: you know, kind of we talked about earlier with Tea, 482 00:30:05,400 --> 00:30:09,800 Speaker 1: and they've had the opposite experience. They're often desexualized, not 483 00:30:09,840 --> 00:30:13,480 Speaker 1: seen as masculine, and they're going back to this feminine history. 484 00:30:13,520 --> 00:30:17,600 Speaker 1: And it's an awful dehumanizing stereotype that's still perpetuated, perpetuated. 485 00:30:17,640 --> 00:30:20,960 Speaker 1: I have you know plenty of straight male friends who 486 00:30:21,000 --> 00:30:23,920 Speaker 1: are Asian American who have said that like their dating, 487 00:30:23,960 --> 00:30:28,960 Speaker 1: particularly within the interracial sphere, like without outside of Asian women, um, 488 00:30:29,160 --> 00:30:31,360 Speaker 1: have had this stereotype opped against them or even with 489 00:30:31,400 --> 00:30:34,080 Speaker 1: Asian women sometimes, and like, um, it's just been really 490 00:30:34,280 --> 00:30:38,000 Speaker 1: disheartening for a lot of them. Yeah, I'm sure. Um. 491 00:30:38,080 --> 00:30:42,000 Speaker 1: And it doesn't help that in our media we see 492 00:30:42,480 --> 00:30:48,600 Speaker 1: these these representations everywhere, Um, there these stereotypes are reinforced 493 00:30:48,680 --> 00:30:53,280 Speaker 1: and perhaps eve Ben solidified and through like the Tiger Mom, 494 00:30:53,440 --> 00:30:58,479 Speaker 1: Model Minority Madama, Butterfly Dragon Lady. And that's what little 495 00:30:58,520 --> 00:31:03,240 Speaker 1: representation there is anyway, because there isn't much. Asian Americans 496 00:31:03,240 --> 00:31:06,800 Speaker 1: make up only one per cent of Hollywood's leading roles. Yeah, 497 00:31:06,880 --> 00:31:09,920 Speaker 1: and and examples that were there were usually like Tokens 498 00:31:10,080 --> 00:31:13,280 Speaker 1: or about you know, very very good but like kind 499 00:31:13,320 --> 00:31:16,440 Speaker 1: of sometimes stereotypical stories about the Vietnam War, or of 500 00:31:16,480 --> 00:31:19,480 Speaker 1: course George t. K as Szulu in Star Trek. But 501 00:31:20,360 --> 00:31:22,920 Speaker 1: in recent years the good things that Asian American visibility 502 00:31:22,960 --> 00:31:25,480 Speaker 1: has increased. Um I think recently and know move in 503 00:31:25,480 --> 00:31:28,480 Speaker 1: like Sandra became the first Asian American to when the 504 00:31:28,560 --> 00:31:31,719 Speaker 1: lead actor's Golden Clube. Plus there's a mega hit from 505 00:31:31,760 --> 00:31:36,440 Speaker 1: last year, Crazy Rich Asians, Uh, and it's become so 506 00:31:36,520 --> 00:31:39,440 Speaker 1: popular both as a rom com and as just the 507 00:31:39,440 --> 00:31:42,400 Speaker 1: first movie to have an all Asian cast in almost 508 00:31:42,680 --> 00:31:47,160 Speaker 1: twenty three years. And it definitely represented just a small 509 00:31:47,200 --> 00:31:50,280 Speaker 1: slice of Asian America, obviously the crazy rich kind with 510 00:31:50,360 --> 00:31:54,280 Speaker 1: generational wealth and economic privilege. Very few brown our doctor 511 00:31:54,320 --> 00:31:56,520 Speaker 1: skin faces in that movie too, But it opened the 512 00:31:56,520 --> 00:31:59,280 Speaker 1: door for more movies about the Asian American experience and 513 00:32:00,040 --> 00:32:03,960 Speaker 1: know it's important to create as author and Pulti Prize 514 00:32:04,000 --> 00:32:08,800 Speaker 1: winner Via ton When has written about narrative plentitude, the 515 00:32:08,880 --> 00:32:12,000 Speaker 1: idea that we need more stories about Asian Americans and 516 00:32:12,040 --> 00:32:15,440 Speaker 1: about other marginalized groups so that one story doesn't carry 517 00:32:15,480 --> 00:32:19,040 Speaker 1: the burden of representing every experience. Yes, And this is 518 00:32:19,080 --> 00:32:22,840 Speaker 1: a big pet peeve of mind because every time the 519 00:32:22,920 --> 00:32:27,520 Speaker 1: story comes out that is all mostly Asian cast, and 520 00:32:27,560 --> 00:32:30,320 Speaker 1: everyone's like, will it make money? Because that's going to 521 00:32:30,440 --> 00:32:35,240 Speaker 1: determine if we make anymore. And yet, I mean movies 522 00:32:35,280 --> 00:32:39,200 Speaker 1: that are bad, that have a usually white male lead, 523 00:32:39,560 --> 00:32:42,160 Speaker 1: that don't make any money, they don't get the same 524 00:32:42,240 --> 00:32:45,800 Speaker 1: pressure like they're they're just gonna be me. There's not 525 00:32:45,840 --> 00:32:48,880 Speaker 1: so much writing on them. Why can't we have bad 526 00:32:48,920 --> 00:32:52,520 Speaker 1: movies for everybody? Good movies for everybody too, But bad 527 00:32:52,520 --> 00:32:56,760 Speaker 1: movies like absolutely, I mean, I mean plentitude doesn't mean 528 00:32:56,800 --> 00:33:00,840 Speaker 1: that they're all like amazing pultipize winners for sure, exactly. 529 00:33:01,640 --> 00:33:06,360 Speaker 1: Uh yeah. And you know, speaking of probably like bad examples, 530 00:33:07,040 --> 00:33:09,360 Speaker 1: probably one of the other you know, well known Asian 531 00:33:09,360 --> 00:33:12,000 Speaker 1: American characters that we would go and risk that mentioning 532 00:33:12,120 --> 00:33:16,040 Speaker 1: is a poo, the lovable convenience store clerk on The Simpsons, 533 00:33:16,120 --> 00:33:19,600 Speaker 1: who was recently removed from the show after comedian Harry 534 00:33:19,640 --> 00:33:22,440 Speaker 1: Knebolo made a documentary called The Problem with the Pooh. 535 00:33:23,200 --> 00:33:27,600 Speaker 1: And the problem is that a Poo's stereotypically thick Indian accent, 536 00:33:27,840 --> 00:33:30,560 Speaker 1: which I will not do well I thought about it. 537 00:33:30,680 --> 00:33:34,280 Speaker 1: Uh is voiced by non South Asian Hankers area At, 538 00:33:34,280 --> 00:33:36,600 Speaker 1: one of the show's creators, who also voices a lot 539 00:33:36,640 --> 00:33:40,120 Speaker 1: of other characters, and who Condobolo says, Uh, this is 540 00:33:40,120 --> 00:33:43,120 Speaker 1: a quote from Condabel. Sounds like a white guy doing 541 00:33:43,200 --> 00:33:45,560 Speaker 1: an impression of a white guy making fun of my father. 542 00:33:47,520 --> 00:33:51,720 Speaker 1: It's really accurate. Um. And you know, some South Asians 543 00:33:51,720 --> 00:33:53,840 Speaker 1: aren't offended by a pooh, but it's not hard to 544 00:33:53,840 --> 00:33:56,800 Speaker 1: see the soft racism um, which is you know, just 545 00:33:56,840 --> 00:34:00,400 Speaker 1: been described particularly well by New Yorker writer Huasu, who 546 00:34:00,480 --> 00:34:03,120 Speaker 1: says that even though the Simpsons might not have wanted 547 00:34:03,160 --> 00:34:05,320 Speaker 1: to a fund with a poo, it's still collapsing an 548 00:34:05,400 --> 00:34:08,800 Speaker 1: entire ethnic group and too exaggerated characteristics like a stilly 549 00:34:08,840 --> 00:34:11,799 Speaker 1: accent or submissive slogan like thank you come again, And 550 00:34:11,920 --> 00:34:17,960 Speaker 1: that's I think, in and of itself, is particularly problematic. Yeah, 551 00:34:18,239 --> 00:34:21,720 Speaker 1: I remember when all of this was kind of happening. 552 00:34:21,840 --> 00:34:24,400 Speaker 1: It was a pretty big deal. I haven't seen the 553 00:34:24,440 --> 00:34:29,640 Speaker 1: show since since of who left, so I'd be interested 554 00:34:30,600 --> 00:34:34,600 Speaker 1: to check out what's going on there now. I can't 555 00:34:34,600 --> 00:34:37,040 Speaker 1: believe it's still in the air. I don't mean that negatively, 556 00:34:37,040 --> 00:34:40,520 Speaker 1: I know it's like, wow, it's been like a million years, 557 00:34:40,560 --> 00:34:42,560 Speaker 1: so the longest running show ever. I mean, I love 558 00:34:42,560 --> 00:34:44,520 Speaker 1: the simpsence' gona be wrong. And you know, I think 559 00:34:44,760 --> 00:34:46,360 Speaker 1: I remember like seeing a WHO as a kid and 560 00:34:46,400 --> 00:34:48,400 Speaker 1: being like, well, yeah, like you know, WHO is like 561 00:34:48,400 --> 00:34:50,359 Speaker 1: a touchdown that you can refer to, like yeah, yeah, 562 00:34:50,480 --> 00:34:52,560 Speaker 1: like you know, you would you talk to like kids 563 00:34:52,560 --> 00:34:55,920 Speaker 1: and they'd be like, like, where's India And you'd be like, 564 00:34:55,920 --> 00:34:58,720 Speaker 1: like a Pooh, you know, like I'm like a Pooh 565 00:34:58,800 --> 00:35:04,280 Speaker 1: like your reference point? Um, but a double edged sword 566 00:35:04,320 --> 00:35:08,239 Speaker 1: in some cases it is Yeah, again, maybe it would 567 00:35:08,239 --> 00:35:11,680 Speaker 1: be it would be nice to have more representation that 568 00:35:11,760 --> 00:35:17,879 Speaker 1: you could point to instead of just yeah, we can 569 00:35:17,960 --> 00:35:21,640 Speaker 1: dream something else that you you brought to My attention 570 00:35:22,080 --> 00:35:25,400 Speaker 1: is kind of within this world of hip hop that 571 00:35:25,480 --> 00:35:30,840 Speaker 1: there is kind of an interesting exchange between Asian American 572 00:35:31,239 --> 00:35:35,879 Speaker 1: Organizasian and hip hop. Yeah, totally, And I mean it's 573 00:35:36,680 --> 00:35:38,759 Speaker 1: there's a few different groups that I've been coming out. 574 00:35:38,800 --> 00:35:42,400 Speaker 1: I think there's like the rap label eight eight Rising 575 00:35:42,719 --> 00:35:44,640 Speaker 1: UM lot lots of people who are who are Asian 576 00:35:44,680 --> 00:35:48,319 Speaker 1: American or Asian who are who are forming hip hop 577 00:35:48,360 --> 00:35:50,480 Speaker 1: groups or or other acts. And K pop has been 578 00:35:50,520 --> 00:35:54,120 Speaker 1: borrowing a lot from from hip hop as well from 579 00:35:54,200 --> 00:35:57,440 Speaker 1: just in terms of like beats that the like a 580 00:35:57,440 --> 00:36:00,680 Speaker 1: lot of different parts of the act and and and 581 00:36:00,719 --> 00:36:03,080 Speaker 1: it is this really interesting exchange that you were saying, 582 00:36:03,280 --> 00:36:06,640 Speaker 1: because you know, I think that hip hop has obviously 583 00:36:06,719 --> 00:36:09,239 Speaker 1: drawn from a lot of different sources, but it's so 584 00:36:09,280 --> 00:36:11,719 Speaker 1: firmly rooted in the black community. And so there are 585 00:36:12,280 --> 00:36:16,000 Speaker 1: so like so many important complex questions about some of 586 00:36:16,040 --> 00:36:18,799 Speaker 1: these newer groups which have sometimes been accused of appropriating 587 00:36:18,800 --> 00:36:21,760 Speaker 1: black culture or sometimes even ignoring some of the anti 588 00:36:21,760 --> 00:36:25,360 Speaker 1: black racist comments from their fans. Um And and you know, 589 00:36:25,400 --> 00:36:28,120 Speaker 1: Asian Americans have certainly benefited from the work of black 590 00:36:28,160 --> 00:36:31,359 Speaker 1: and brown activists and the civil rights movements of those 591 00:36:31,400 --> 00:36:34,279 Speaker 1: activists in this country. And there's still a lot of 592 00:36:34,280 --> 00:36:37,000 Speaker 1: work that the Asian American community at large has to 593 00:36:37,040 --> 00:36:41,040 Speaker 1: do when it comes to interracial interactions. Um. Particularly you know, 594 00:36:41,360 --> 00:36:44,759 Speaker 1: anti blackness is really prominent in many different Asian American communities. 595 00:36:45,160 --> 00:36:47,759 Speaker 1: Um And there's you know, even this a sheet of 596 00:36:47,800 --> 00:36:50,719 Speaker 1: colorism and racism within the Asian American community. I mean, 597 00:36:51,200 --> 00:36:53,120 Speaker 1: you could just if you go inside a I mean 598 00:36:53,160 --> 00:36:56,680 Speaker 1: almost any Asian microan store, whether it's Filipino whether it's Indian, 599 00:36:56,719 --> 00:36:59,520 Speaker 1: whether it's Chinese. Uh. And you go to the like 600 00:37:00,080 --> 00:37:02,920 Speaker 1: care I all you will see like skin lightning creams. 601 00:37:02,960 --> 00:37:05,319 Speaker 1: The one in the Indian store is called fair and 602 00:37:05,360 --> 00:37:09,200 Speaker 1: Lovely trustmeters. Nothing fair and lovely about it. Like it 603 00:37:09,280 --> 00:37:11,520 Speaker 1: is literally like a bleaching cream. And people use it 604 00:37:11,600 --> 00:37:13,879 Speaker 1: because they want their skin to appear lighter, because being 605 00:37:13,960 --> 00:37:17,120 Speaker 1: dark skinned, especially for women of course, is just seen 606 00:37:17,160 --> 00:37:20,920 Speaker 1: as this really bad thing, you seem as less attractive. Um. 607 00:37:21,160 --> 00:37:22,760 Speaker 1: And you know, we could talk for like a million 608 00:37:22,800 --> 00:37:25,960 Speaker 1: years about like where that comes from and why. But 609 00:37:26,080 --> 00:37:29,080 Speaker 1: like you know, the odd distinctions between white Asians and 610 00:37:29,080 --> 00:37:31,839 Speaker 1: brown Asians even within the Asian American community. But like 611 00:37:32,280 --> 00:37:35,120 Speaker 1: that this is just something that like exists in our 612 00:37:35,160 --> 00:37:37,520 Speaker 1: home countries. But it's also something that exists in the 613 00:37:37,560 --> 00:37:41,480 Speaker 1: Asian American experienced style that I think it needs to 614 00:37:41,480 --> 00:37:47,440 Speaker 1: be talked about a little bit more. Yeah, And as 615 00:37:47,520 --> 00:37:50,600 Speaker 1: as is clear, I am not too big in tipocculture. 616 00:37:50,680 --> 00:37:53,399 Speaker 1: But we did talk about when we're preparing for this, 617 00:37:53,880 --> 00:37:59,120 Speaker 1: Likeley from Nicki Minage and Katy Perry when she did 618 00:37:59,160 --> 00:38:06,560 Speaker 1: that kind of geisha Yeah. Um, lots of like weird 619 00:38:07,080 --> 00:38:12,399 Speaker 1: um definitely stereotypical uh things that you see in pop 620 00:38:12,480 --> 00:38:15,720 Speaker 1: culture are kind of like sometimes given a past, sometimes 621 00:38:15,760 --> 00:38:21,040 Speaker 1: not like that. I definitely deserve to also be talked 622 00:38:21,080 --> 00:38:26,000 Speaker 1: about when it comes to like anti Asian or stereotypical bias. Yeah, 623 00:38:26,040 --> 00:38:29,120 Speaker 1: for sure, there's a lot to go into their um 624 00:38:29,200 --> 00:38:33,759 Speaker 1: and we still have some more in this episode, but 625 00:38:33,920 --> 00:38:36,600 Speaker 1: first we have a quick break forward from our sponsor 626 00:38:41,640 --> 00:38:51,080 Speaker 1: m H and we're back, Thank you sponsor. So taking 627 00:38:51,120 --> 00:38:54,160 Speaker 1: all of this, all of these histories, the stereotypes, it 628 00:38:54,320 --> 00:39:00,400 Speaker 1: plays into the question of the Asian American identity. Now. Nowadays, 629 00:39:00,440 --> 00:39:03,200 Speaker 1: some folks are rejecting the label Asian American in favor 630 00:39:03,200 --> 00:39:06,759 Speaker 1: of something more specific. But this label was introduced. When 631 00:39:06,760 --> 00:39:10,440 Speaker 1: it was introduced, it was meant to foster unity. It 632 00:39:10,520 --> 00:39:14,560 Speaker 1: was coined by historian and activists Eugi Echioka in nineteen 633 00:39:14,600 --> 00:39:17,840 Speaker 1: sixty eight. He was partly inspired by the success of 634 00:39:17,880 --> 00:39:20,960 Speaker 1: the Black Panther movement, and he hoped it would help 635 00:39:21,320 --> 00:39:24,760 Speaker 1: to combat direct discrimination that had been aimed at Chinese 636 00:39:24,760 --> 00:39:29,160 Speaker 1: Americans and Japanese Americans. When Japanese Americans were in prisoned 637 00:39:29,200 --> 00:39:32,319 Speaker 1: after World War Two, some Chinese Americans carried signs or 638 00:39:32,320 --> 00:39:35,360 Speaker 1: were buttons to signify that they were not Japanese American, 639 00:39:35,440 --> 00:39:41,400 Speaker 1: but Chinese American. This unification under one label might offer protection. 640 00:39:41,440 --> 00:39:44,239 Speaker 1: That was the thought. Asian American was also a way 641 00:39:44,280 --> 00:39:47,680 Speaker 1: to ditch derogatory terms given by society in a way 642 00:39:47,680 --> 00:39:51,360 Speaker 1: to self define. And then we come to the murder 643 00:39:51,400 --> 00:39:56,120 Speaker 1: of a Chinese American, Vincent Chin in two and this 644 00:39:56,280 --> 00:39:59,640 Speaker 1: murder increased the feeling that there needed to be a coalition. 645 00:40:00,120 --> 00:40:03,200 Speaker 1: Chin was beaten to death by white auto workers unhappy 646 00:40:03,200 --> 00:40:08,080 Speaker 1: with competition from Japanese auto companies. Yeah, and his killers 647 00:40:08,120 --> 00:40:12,520 Speaker 1: were sentenced to probation and find three thousand dollars and 648 00:40:13,080 --> 00:40:16,319 Speaker 1: what ha happened? Protesters Martian cities across the country, giving 649 00:40:16,440 --> 00:40:20,120 Speaker 1: rise to this new Pan Asian identity and unity that 650 00:40:20,680 --> 00:40:23,360 Speaker 1: was forged by the realization that if Chin, who was 651 00:40:23,400 --> 00:40:25,560 Speaker 1: the son of Chinese immigrants, could be killed because of 652 00:40:25,840 --> 00:40:31,759 Speaker 1: Japanese auto imports, maybe being Asian American and being able 653 00:40:31,800 --> 00:40:35,560 Speaker 1: to be mistaken for other groups by white people and 654 00:40:35,640 --> 00:40:40,120 Speaker 1: by other Americans had consequences. Uh. And that kind of 655 00:40:40,160 --> 00:40:43,960 Speaker 1: misconception shapes the racial experiences of so many Asian Americans. 656 00:40:44,080 --> 00:40:45,919 Speaker 1: I mean, if you look at the experiences of Sick 657 00:40:45,960 --> 00:40:49,520 Speaker 1: Americans who follow a South Asian religion that's distinct from 658 00:40:49,560 --> 00:40:53,080 Speaker 1: Hinduism and Islam. There is a long history of hate 659 00:40:53,120 --> 00:40:56,400 Speaker 1: crimes against Sick Americans in the United States, often because 660 00:40:56,480 --> 00:40:59,719 Speaker 1: white racists are mistaking them from Muslims or otherwise do 661 00:40:59,719 --> 00:41:02,880 Speaker 1: you mean using their faith? But this idea that Asian 662 00:41:02,880 --> 00:41:07,560 Speaker 1: American is such the the huge over a large category. 663 00:41:07,880 --> 00:41:11,239 Speaker 1: It is that way sometimes because if I'm able to 664 00:41:11,280 --> 00:41:14,720 Speaker 1: be mistaken for someone else, that means that I already 665 00:41:14,760 --> 00:41:17,840 Speaker 1: have a essen interest in how the other group gets treated. 666 00:41:18,000 --> 00:41:20,600 Speaker 1: And I think that's how this kind of unity gets formed. 667 00:41:21,719 --> 00:41:28,160 Speaker 1: Yeah and, um, it was meant to be that way. 668 00:41:28,200 --> 00:41:33,480 Speaker 1: But if we look at South Asians, um Asian Americans 669 00:41:33,520 --> 00:41:36,040 Speaker 1: has frequently left out people from South Asia, or at 670 00:41:36,120 --> 00:41:40,399 Speaker 1: least in the minds of people who might use that term. 671 00:41:40,560 --> 00:41:43,239 Speaker 1: So that comes to the question of who gets the 672 00:41:43,320 --> 00:41:47,880 Speaker 1: label of Asian American, as the author of this Washington 673 00:41:47,960 --> 00:41:51,719 Speaker 1: Post piece, Sonya Row, points out when describing actors John 674 00:41:51,800 --> 00:41:55,279 Speaker 1: Chow or Constance, who the media typically uses Asian Americans, 675 00:41:55,680 --> 00:41:58,799 Speaker 1: whereas actors like Mindy Kaling, our Zas and Sorry are 676 00:41:58,880 --> 00:42:02,560 Speaker 1: described differently. Yeah, and and the term Asian American also 677 00:42:02,600 --> 00:42:06,120 Speaker 1: includes specific Islanders sometimes or Native Hawaiians, and many Central 678 00:42:06,160 --> 00:42:10,080 Speaker 1: Asians like people from Kazakhstan or Afghanistan, and Southwest Asians 679 00:42:10,160 --> 00:42:12,239 Speaker 1: like people from parts of the Middle East. So it 680 00:42:12,719 --> 00:42:15,640 Speaker 1: for this huge group of people with so many different 681 00:42:15,680 --> 00:42:19,239 Speaker 1: histories and languages and cultures that you know, don't have 682 00:42:19,640 --> 00:42:22,680 Speaker 1: representation in so many places. And you see many people 683 00:42:22,840 --> 00:42:26,640 Speaker 1: refer to themselves by their ethnicity rather than by Asian Americans. 684 00:42:26,680 --> 00:42:28,799 Speaker 1: So I will call myself Indian American most of the time, 685 00:42:28,840 --> 00:42:31,640 Speaker 1: not Asian American, because I mean, what does that even mean? 686 00:42:31,719 --> 00:42:37,239 Speaker 1: Sometimes right exactly? Um. And another another piece of this 687 00:42:37,400 --> 00:42:41,920 Speaker 1: conversation and kind of this fragmentation of the Asian American 688 00:42:41,960 --> 00:42:46,200 Speaker 1: identity is affirmative action, which has been in the news 689 00:42:46,200 --> 00:42:49,400 Speaker 1: a lot lately. In August eighteen, the Department of Justice 690 00:42:49,560 --> 00:42:52,120 Speaker 1: came out on the side of a group of Asian 691 00:42:52,280 --> 00:42:56,480 Speaker 1: students that were suing Harvard for racial discrimination during the 692 00:42:56,520 --> 00:43:01,680 Speaker 1: admissions process. So Harvard University, for our international listeners from 693 00:43:01,680 --> 00:43:06,600 Speaker 1: the students legal filing, the process quotes significantly disadvantages Asian 694 00:43:06,600 --> 00:43:11,560 Speaker 1: American applicants compared to applicants of other racial groups. Worth 695 00:43:11,600 --> 00:43:14,920 Speaker 1: pointing out. The person who leads the organization suing Harvard, 696 00:43:15,040 --> 00:43:19,560 Speaker 1: Edward Blum, has multiple similar lawsuits against other schools, but 697 00:43:19,680 --> 00:43:23,880 Speaker 1: on behalf of white students and just a really quick aside, 698 00:43:23,880 --> 00:43:27,960 Speaker 1: really really really quick. The term affirmative action first appeared 699 00:43:28,080 --> 00:43:31,800 Speaker 1: in terms of a U S policy and with the 700 00:43:31,920 --> 00:43:36,520 Speaker 1: National Labor Relations Act. This act primarily allowed workers to 701 00:43:36,680 --> 00:43:40,880 Speaker 1: unionize freely and without fear. If an employer was found 702 00:43:40,880 --> 00:43:44,560 Speaker 1: in non compliance firing an employee over unionizing, the employee 703 00:43:44,600 --> 00:43:49,400 Speaker 1: would be rehired and or be otherwise compensated via affirmative action. 704 00:43:49,840 --> 00:43:52,799 Speaker 1: President f dr S Secretary of the Interior extended it, 705 00:43:52,920 --> 00:43:56,080 Speaker 1: establishing a fixed percentage of African American employees for the 706 00:43:56,120 --> 00:44:02,200 Speaker 1: Public Works Administration. A lot of local institutions refused to obey. 707 00:44:02,800 --> 00:44:07,640 Speaker 1: JFK's executive ordered ten nine to five demanded government contractors 708 00:44:07,719 --> 00:44:12,920 Speaker 1: quote take affirmative action to achieve non discrimination. Affirmative action 709 00:44:13,040 --> 00:44:16,279 Speaker 1: was meant to acknowledge how the inequalities and injustices of 710 00:44:16,280 --> 00:44:20,279 Speaker 1: the past still existed and continued to impact the prospects 711 00:44:20,320 --> 00:44:24,240 Speaker 1: of African Americans. In nineteen sixty seven, it was also 712 00:44:24,440 --> 00:44:26,920 Speaker 1: used as an argument to ban discrimination on the basis 713 00:44:26,960 --> 00:44:30,600 Speaker 1: of sex. In ninety eight, the Supreme Court. Here's the 714 00:44:30,640 --> 00:44:34,040 Speaker 1: first case of reverse discrimination made by a white man 715 00:44:34,080 --> 00:44:36,520 Speaker 1: who believed he would have gotten into his university of 716 00:44:36,600 --> 00:44:40,000 Speaker 1: choice if he had been a minority. He lost the case. 717 00:44:40,640 --> 00:44:44,680 Speaker 1: In the nineties, Californians past California Civil Rights Initiative are 718 00:44:44,680 --> 00:44:48,440 Speaker 1: Prop two O nine. This initiative did away with affirmative 719 00:44:48,480 --> 00:44:52,840 Speaker 1: action in the realm of education. It passed in and 720 00:44:52,880 --> 00:44:57,880 Speaker 1: between admissions to Berkeley and u c l A dropped 721 00:44:57,880 --> 00:45:02,879 Speaker 1: by fifty for African Americans. Several other states followed suit, 722 00:45:02,920 --> 00:45:05,960 Speaker 1: but two more cases brought to the Supreme Court have lost. 723 00:45:07,120 --> 00:45:12,560 Speaker 1: Okay back to Harvard. This was the culmination of a 724 00:45:12,600 --> 00:45:17,280 Speaker 1: couple of grievances this lawsuit. Harvard's own internal research division 725 00:45:17,360 --> 00:45:20,759 Speaker 1: found that if the only factor considered was academic performance, 726 00:45:22,160 --> 00:45:25,560 Speaker 1: of the admitted class would be Asian. Now, if you 727 00:45:25,600 --> 00:45:30,960 Speaker 1: introduce other consideration like athletics, legacies, extracurriculars, the number goes 728 00:45:31,000 --> 00:45:35,560 Speaker 1: down to When you add in demographics, the number drops 729 00:45:35,600 --> 00:45:39,320 Speaker 1: to eighteen. And we should add that this particular lawsuit, 730 00:45:39,400 --> 00:45:41,960 Speaker 1: which was filed by a Chinese American, has in particular 731 00:45:41,960 --> 00:45:45,719 Speaker 1: gotten a lot of support from Chinese American advocates and 732 00:45:45,840 --> 00:45:50,239 Speaker 1: media and just across the country for many people who 733 00:45:50,680 --> 00:45:55,759 Speaker 1: feel similarly to the plain of related have been a 734 00:45:55,760 --> 00:45:59,239 Speaker 1: handful of lawsuits that have aligned white people and a 735 00:45:59,280 --> 00:46:04,440 Speaker 1: specific group of Asian Americans to eighteen lawsuits against Google 736 00:46:04,480 --> 00:46:07,520 Speaker 1: alleged that the white male plaintiffs were being illegally discriminated 737 00:46:07,560 --> 00:46:11,000 Speaker 1: against due to hiring quotas that favor females and non 738 00:46:11,000 --> 00:46:16,000 Speaker 1: favored minorities. Both lawsuits included Caucasian and Asian males as 739 00:46:16,040 --> 00:46:20,120 Speaker 1: those being discriminated against. Yeah, but there's definitely a reality 740 00:46:20,239 --> 00:46:23,040 Speaker 1: of proxypany to whiteness that's going on here that many 741 00:46:23,120 --> 00:46:26,680 Speaker 1: Asians have benefited from, and it's something that many other 742 00:46:27,000 --> 00:46:30,160 Speaker 1: non white people, particularly those who identify as black, can't 743 00:46:30,200 --> 00:46:34,080 Speaker 1: benefit from. And this isn't the first time a minority 744 00:46:34,160 --> 00:46:37,200 Speaker 1: has been grouped together with the majority, in this case 745 00:46:37,480 --> 00:46:41,960 Speaker 1: white people. Sociologists call this whitening. The term comes to 746 00:46:42,040 --> 00:46:46,400 Speaker 1: us part partly courtesy of a Portuguese phrase out of Brazil, 747 00:46:46,719 --> 00:46:51,200 Speaker 1: quote money whitens. Previous groups that were once considered as 748 00:46:51,200 --> 00:46:54,759 Speaker 1: non white include the Irish and the Italians. And this 749 00:46:55,040 --> 00:46:59,200 Speaker 1: involves a certain level of a rature and cultural assimilation 750 00:46:59,560 --> 00:47:03,600 Speaker 1: and it's affirmative action issue has really you know, I 751 00:47:03,600 --> 00:47:06,080 Speaker 1: think split the Asian American community in this country in 752 00:47:06,160 --> 00:47:08,600 Speaker 1: so many different ways, and it's really important to note 753 00:47:08,640 --> 00:47:13,680 Speaker 1: that a majority of Asian Americans support affirmative action. It 754 00:47:13,719 --> 00:47:17,480 Speaker 1: has benefited so many of Asian Americans lives. The research 755 00:47:17,520 --> 00:47:22,120 Speaker 1: group API Data that stands for Asian American Pacific Islander Data, 756 00:47:22,960 --> 00:47:24,960 Speaker 1: which is one of the few that di segregate data 757 00:47:25,120 --> 00:47:28,240 Speaker 1: based on ethnicity. They found that a majority of most 758 00:47:28,280 --> 00:47:31,920 Speaker 1: Asian ethnic groups support affirmative action, from eighty four percent 759 00:47:32,000 --> 00:47:37,719 Speaker 1: support among Indian Americans to sixty percent support among Chinese Americans. 760 00:47:37,840 --> 00:47:40,960 Speaker 1: And you know that there's a lot of differences within 761 00:47:41,000 --> 00:47:45,040 Speaker 1: those groups. So you know, less than half of Vietnamese Americans, 762 00:47:45,040 --> 00:47:48,719 Speaker 1: by contrast, support affirmative action, and that's tied to the 763 00:47:48,719 --> 00:47:52,920 Speaker 1: fact that many American Vietnamese Americans lean Republican, which is 764 00:47:53,000 --> 00:47:56,919 Speaker 1: also influenced by a history with communism and the Vietnam War. 765 00:47:57,040 --> 00:48:01,120 Speaker 1: That's not unlike that of many Cuban of Americans. So 766 00:48:01,480 --> 00:48:03,840 Speaker 1: you know, again really important to remember that Asian Americans 767 00:48:03,880 --> 00:48:08,560 Speaker 1: aren't a monoliths both economically and politically, and the GOP 768 00:48:08,960 --> 00:48:13,359 Speaker 1: has come out on the side of Asian Americans in 769 00:48:13,760 --> 00:48:17,200 Speaker 1: the effort while Asian Americans like Chinese Americans, particularly in 770 00:48:17,200 --> 00:48:20,600 Speaker 1: this case um of this Harvard lawsuit in the effort 771 00:48:20,640 --> 00:48:23,880 Speaker 1: to end affirmative action. For as you can imagine, the 772 00:48:23,960 --> 00:48:27,680 Speaker 1: GOP has a different, entirely political reasons, using the concerns 773 00:48:27,680 --> 00:48:31,520 Speaker 1: of Asian Americans to help white Americans. The Republican Party 774 00:48:31,680 --> 00:48:36,160 Speaker 1: is courting Asian Americans, and you know, Asian Americans largely 775 00:48:36,239 --> 00:48:40,839 Speaker 1: vote Democratic, with sub notable exceptions which include Vietnamese and Filipinos, 776 00:48:41,800 --> 00:48:45,080 Speaker 1: and several articles I read have advised the Democratic Party 777 00:48:45,120 --> 00:48:47,400 Speaker 1: to sound the alarm over this, to really pay attention 778 00:48:47,440 --> 00:48:50,440 Speaker 1: to this issue. Yeah, and and you know, many Asian Americans, 779 00:48:50,760 --> 00:48:54,600 Speaker 1: uh in different parts of the country have been politically 780 00:48:54,719 --> 00:48:57,880 Speaker 1: apathetic in some places, you know, a lower than average 781 00:48:57,880 --> 00:49:02,520 Speaker 1: turnout rates than compared with other minority groups. And the 782 00:49:02,640 --> 00:49:06,440 Speaker 1: continuing evolution of Asian American political identity is definitely something 783 00:49:06,480 --> 00:49:09,239 Speaker 1: to watch out for, I think as time goes on, 784 00:49:09,719 --> 00:49:11,920 Speaker 1: and you know, I think the most important thing to 785 00:49:11,960 --> 00:49:15,040 Speaker 1: remember out of all of this that we've talked about 786 00:49:15,040 --> 00:49:20,320 Speaker 1: over the last hour so is that Asian American identities 787 00:49:20,640 --> 00:49:26,160 Speaker 1: extremely complicated and something that is still under construction, especially 788 00:49:26,200 --> 00:49:28,600 Speaker 1: as our population grows and we become more visible in 789 00:49:28,640 --> 00:49:32,240 Speaker 1: mainstream society, and as things like affirmative action really take 790 00:49:33,200 --> 00:49:35,840 Speaker 1: you know, have us take stock of what it is 791 00:49:35,880 --> 00:49:38,640 Speaker 1: that we believe and what our histories are in this country. 792 00:49:38,680 --> 00:49:41,959 Speaker 1: And there's not one prevailing narrative that explains what being 793 00:49:42,040 --> 00:49:49,120 Speaker 1: Asian American is. Absolutely, and as I was discussing with 794 00:49:49,200 --> 00:49:51,160 Speaker 1: you when we were planning this, and as I kind 795 00:49:51,160 --> 00:49:54,520 Speaker 1: of alluded to at the top, we don't learn about 796 00:49:54,560 --> 00:49:58,120 Speaker 1: this stuff in the United States. Um, a lot of 797 00:49:58,120 --> 00:50:02,960 Speaker 1: this history was new to me, and we just don't 798 00:50:03,040 --> 00:50:07,239 Speaker 1: have this background. And it is so important when understanding 799 00:50:07,239 --> 00:50:10,200 Speaker 1: where people come from and where they're going, and when 800 00:50:10,200 --> 00:50:14,600 Speaker 1: we're talking about these two discordant Asian America's to me, 801 00:50:14,680 --> 00:50:19,239 Speaker 1: it sounds like it is one the first wave has 802 00:50:19,280 --> 00:50:22,719 Speaker 1: all this history and then the second wave kind of 803 00:50:22,760 --> 00:50:25,279 Speaker 1: doesn't get taught that when they're already in the United 804 00:50:25,280 --> 00:50:28,680 Speaker 1: States that they had a different experience. And to know 805 00:50:28,760 --> 00:50:32,000 Speaker 1: all that stuff is good for all of us. I'm 806 00:50:32,000 --> 00:50:35,919 Speaker 1: a big proponent, if you didn't know, I'm a big 807 00:50:35,960 --> 00:50:39,919 Speaker 1: proponent of education and listening to other people, um and 808 00:50:40,280 --> 00:50:43,319 Speaker 1: learning from other people's experiences. So this has been really 809 00:50:43,400 --> 00:50:47,000 Speaker 1: valuable for me as well. Me too. Yeah, I'm so 810 00:50:47,080 --> 00:50:49,239 Speaker 1: glad I'm so glad that we got to do this 811 00:50:49,320 --> 00:50:51,920 Speaker 1: and that you came on. Um, do you have any 812 00:50:52,480 --> 00:50:58,080 Speaker 1: recommended reading from from Asian women or Asian people Asian 813 00:50:58,080 --> 00:51:00,840 Speaker 1: American people, Yeah, totally. I you know, one of the 814 00:51:00,840 --> 00:51:03,520 Speaker 1: books that we mentioned earlier, I think what was something 815 00:51:03,520 --> 00:51:05,680 Speaker 1: that we turned to when we're regin this episode, The 816 00:51:05,719 --> 00:51:07,919 Speaker 1: Making of Asian America, which is book by air gal Lee. 817 00:51:07,920 --> 00:51:10,239 Speaker 1: It came out a couple of years ago. Um. It 818 00:51:10,360 --> 00:51:13,000 Speaker 1: is very long and very detailed, but I think it 819 00:51:13,040 --> 00:51:17,680 Speaker 1: does give a great um overview of how Asian Americans 820 00:51:17,719 --> 00:51:20,800 Speaker 1: came to this country, why we're here, all of that stuff. 821 00:51:20,920 --> 00:51:23,160 Speaker 1: And you know, of course, like pop culture, we would 822 00:51:23,200 --> 00:51:25,560 Speaker 1: be remiss if we didn't like their shoutouts too. I 823 00:51:25,600 --> 00:51:28,839 Speaker 1: think some of the famous Asian Americans out there, you know, 824 00:51:28,920 --> 00:51:32,440 Speaker 1: from a Parana non Cherla, who's like a hilarious comedian, 825 00:51:32,480 --> 00:51:36,640 Speaker 1: you should totally follow her on Twitter, to uh Ausuf Monve, 826 00:51:37,080 --> 00:51:41,200 Speaker 1: to Constant Woo, the actress in Crazy Witch Asians and 827 00:51:41,239 --> 00:51:44,799 Speaker 1: Fresh off the Boat and uh you know here Murai 828 00:51:44,920 --> 00:51:49,799 Speaker 1: who directed uh Atlanta the TV show and who's just 829 00:51:49,920 --> 00:51:53,120 Speaker 1: like a really wonderful artist and does a lot of 830 00:51:53,200 --> 00:51:58,000 Speaker 1: music videos. Asian Americans all over the creative spheres watch 831 00:51:58,040 --> 00:52:05,560 Speaker 1: out yeah teen yeah, watch out and support support their work. 832 00:52:05,800 --> 00:52:10,480 Speaker 1: And as speaking of where could the good listeners find you? 833 00:52:10,480 --> 00:52:13,400 Speaker 1: You will find me online in the digital nightmare we 834 00:52:13,480 --> 00:52:17,480 Speaker 1: called the Internet. You can find my work at son 835 00:52:17,680 --> 00:52:21,360 Speaker 1: Vashi dot com or I right around Atlanta if you 836 00:52:22,480 --> 00:52:25,759 Speaker 1: live around here, please hit me up to say hey, 837 00:52:25,880 --> 00:52:30,160 Speaker 1: and I may say hey back for sure, oh a 838 00:52:30,320 --> 00:52:35,520 Speaker 1: steady maybe like definitely definitely hut you back and like 839 00:52:35,560 --> 00:52:39,080 Speaker 1: three to five days perfect. I love it. Thank you 840 00:52:39,200 --> 00:52:41,439 Speaker 1: so much for joining us. I hope that you'll you'll 841 00:52:41,440 --> 00:52:44,319 Speaker 1: come back. This was such a delight having you. Thank 842 00:52:44,360 --> 00:52:47,400 Speaker 1: you so much. I totally well and for you listeners. 843 00:52:47,440 --> 00:52:48,840 Speaker 1: If you would like to reach out to us, you 844 00:52:48,840 --> 00:52:51,200 Speaker 1: can Our email is a mom stuff at our stuffworks 845 00:52:51,239 --> 00:52:53,719 Speaker 1: dot com. You can find us on Twitter at mom 846 00:52:53,760 --> 00:52:56,560 Speaker 1: stuff Podcasts and on Instagram at stuff I've Never Told You. 847 00:52:56,880 --> 00:53:00,800 Speaker 1: Thanks as always to our producer Andrew Howard, and thanks 848 00:53:00,800 --> 00:53:07,960 Speaker 1: to you for listening. M