1 00:00:03,200 --> 00:00:12,720 Speaker 1: They are Jetty Show supported to recognize that this surge 2 00:00:12,720 --> 00:00:15,840 Speaker 1: did not spontaneously rise only out of fears regarding the 3 00:00:15,880 --> 00:00:20,360 Speaker 1: coronavirus pandemic. Some of this blamewise squarely on political leaders 4 00:00:20,360 --> 00:00:23,639 Speaker 1: who have demonized China both because of the virus and 5 00:00:23,680 --> 00:00:28,320 Speaker 1: ongoing geopolitical tensions, and then turn Asian Americans have fallen 6 00:00:28,360 --> 00:00:32,760 Speaker 1: in harm's way. So that's Jerry Nadler, who's the chair 7 00:00:32,760 --> 00:00:36,400 Speaker 1: of the committee who's looking into the uptick in violence 8 00:00:36,440 --> 00:00:40,800 Speaker 1: against Asians across America, saying that political rhetoric against China 9 00:00:40,960 --> 00:00:45,360 Speaker 1: is leading to this. Whoa Jerry Nadler carrying water for 10 00:00:45,400 --> 00:00:49,239 Speaker 1: the Chinese Communist Party, And I think he and his 11 00:00:49,360 --> 00:00:53,040 Speaker 1: pants are full of crap um. If you'll remember that story, 12 00:00:54,800 --> 00:01:00,360 Speaker 1: well played, Uh, I don't if If if Asians are 13 00:01:00,360 --> 00:01:04,640 Speaker 1: being harmed, beaten, or killed across America because you think 14 00:01:04,680 --> 00:01:07,160 Speaker 1: they're to blame for the COVID, well that's horrible. We 15 00:01:07,200 --> 00:01:10,040 Speaker 1: need to stop it. But I'm not convinced that's happening, 16 00:01:10,240 --> 00:01:12,959 Speaker 1: even though I'm told that's what's happening on the front 17 00:01:12,959 --> 00:01:15,280 Speaker 1: page of the newspaper every single damn day, and on 18 00:01:15,400 --> 00:01:21,000 Speaker 1: the most recent story in which all those Asian prostitutes 19 00:01:21,040 --> 00:01:23,920 Speaker 1: got killed in Atlanta by a sexual nut job that 20 00:01:24,040 --> 00:01:30,039 Speaker 1: has nothing to do with COVID nothing. That narrative continues though, 21 00:01:30,120 --> 00:01:33,400 Speaker 1: from coast to coast in the mainstream media right they're 22 00:01:33,400 --> 00:01:35,640 Speaker 1: having to stretch a bit. Well, let's discuss this in 23 00:01:35,680 --> 00:01:38,479 Speaker 1: similar issues with Ying Ma, who we've spoken with many 24 00:01:38,520 --> 00:01:41,640 Speaker 1: times before, and and just Love, author of Chinese Girl 25 00:01:41,680 --> 00:01:44,960 Speaker 1: in the Ghetto, contributor to Fox News dot Com, Washington Examiner, 26 00:01:45,120 --> 00:01:47,760 Speaker 1: and NBC News, ying Mon joins is, how are you 27 00:01:49,560 --> 00:01:53,680 Speaker 1: good morning. I'm doing well. How are you guys? Terrific? Yeah, 28 00:01:53,800 --> 00:01:57,000 Speaker 1: great to have you on again. UM, So you've told 29 00:01:57,040 --> 00:01:59,800 Speaker 1: us this story before, but for people who don't know you, 30 00:02:00,080 --> 00:02:02,880 Speaker 1: just to set up the conversation, what is your experience 31 00:02:03,280 --> 00:02:05,960 Speaker 1: as someone who grew up in China with racism against 32 00:02:05,960 --> 00:02:08,560 Speaker 1: Asians as you lived in the United States starting as 33 00:02:08,560 --> 00:02:13,360 Speaker 1: a kid? So, um, as some of your listeners already know, 34 00:02:13,520 --> 00:02:16,280 Speaker 1: I immigrated to the United States when I was ten 35 00:02:16,440 --> 00:02:19,520 Speaker 1: from communist China and UM and I showed up in 36 00:02:19,600 --> 00:02:23,679 Speaker 1: Inner City, Oakland, California, and growing up in Oakland, racism 37 00:02:24,120 --> 00:02:28,120 Speaker 1: was a constant. And this was well before Trump hit 38 00:02:28,160 --> 00:02:32,480 Speaker 1: the national political scene. And one of the dirtiest little 39 00:02:32,520 --> 00:02:36,160 Speaker 1: secrets about urban America is that there is a lot 40 00:02:36,440 --> 00:02:40,680 Speaker 1: of Black on Asian violence. Um. And this is something 41 00:02:40,800 --> 00:02:44,919 Speaker 1: that democratic politicians who controlled these cities, as well as 42 00:02:45,000 --> 00:02:50,120 Speaker 1: left wing political activists, many of whom um, in fact, 43 00:02:50,200 --> 00:02:54,079 Speaker 1: many of the left wing political activists who are Asian Americans. 44 00:02:54,720 --> 00:02:58,400 Speaker 1: This is an issue that these people absolutely receives to 45 00:02:58,520 --> 00:03:01,440 Speaker 1: be honest about. And so when I wrote my book 46 00:03:01,480 --> 00:03:03,680 Speaker 1: Chinese Girl and the Ghetto, this was an issue that 47 00:03:03,720 --> 00:03:08,600 Speaker 1: I discussed extensively. Violence on Asians is not new. Black 48 00:03:08,680 --> 00:03:13,080 Speaker 1: on Asian violence in urban America certainly is not new, 49 00:03:13,240 --> 00:03:16,320 Speaker 1: and that is something that we have seen quite a 50 00:03:16,360 --> 00:03:19,520 Speaker 1: bit in the past year. You know. I'm glad to 51 00:03:19,639 --> 00:03:21,919 Speaker 1: hear you say that, because we stuck our neck out 52 00:03:21,919 --> 00:03:23,840 Speaker 1: a little bit. A couple of weeks ago. I was reading, 53 00:03:23,840 --> 00:03:26,079 Speaker 1: I think it was in the San Francisco Chronicle about 54 00:03:26,360 --> 00:03:29,800 Speaker 1: a rising violence against elderly Asian folks in Oakland, right 55 00:03:29,840 --> 00:03:32,880 Speaker 1: there by Chinatown. And that's not my hood, but I 56 00:03:32,960 --> 00:03:37,880 Speaker 1: know that hood, okay, And they were spinning it that 57 00:03:38,040 --> 00:03:41,240 Speaker 1: it was because of Trump blaming China for for the 58 00:03:41,360 --> 00:03:44,040 Speaker 1: China virus and the rest of it, and I was thinking, wait, 59 00:03:44,080 --> 00:03:46,280 Speaker 1: a minute, You've got a bunch of maga hat wearing 60 00:03:46,960 --> 00:03:50,080 Speaker 1: red neck white guys beating up Chinese people in that neighborhood. 61 00:03:50,360 --> 00:03:52,480 Speaker 1: And so I dug into it. No, it's it was 62 00:03:52,760 --> 00:03:58,160 Speaker 1: entirely black on Asian violence, right, and and that is 63 00:03:58,200 --> 00:04:00,880 Speaker 1: what it's so dishonest about it. So I I think, um, 64 00:04:00,880 --> 00:04:03,440 Speaker 1: we we should probably untack this a little bit. So 65 00:04:03,680 --> 00:04:08,000 Speaker 1: when COVID happened and there's a rise in anti Asian sentiments, 66 00:04:08,080 --> 00:04:12,960 Speaker 1: I don't doubt that some of that comes from um 67 00:04:12,960 --> 00:04:16,040 Speaker 1: white people. In fact, I don't doubt that members of 68 00:04:16,080 --> 00:04:19,599 Speaker 1: all different races could potentially just become more racist against 69 00:04:19,640 --> 00:04:23,240 Speaker 1: Asian people by mistakenly blaming them for the COVID virus. 70 00:04:23,279 --> 00:04:25,720 Speaker 1: That is entirely possible, and there have been That makes 71 00:04:25,760 --> 00:04:27,760 Speaker 1: you a moron, but I suppose it can happen. There 72 00:04:27,760 --> 00:04:30,479 Speaker 1: are a lot of speaking for white people, there's lots 73 00:04:30,480 --> 00:04:35,120 Speaker 1: of stupid white people, so anyway, lots of stupid people 74 00:04:35,200 --> 00:04:38,960 Speaker 1: of all races, and and indeed there have been reports 75 00:04:39,160 --> 00:04:42,559 Speaker 1: of of white people saying nasty thanks to Asian people 76 00:04:42,560 --> 00:04:46,919 Speaker 1: as well as attacking them. However, um, the most horrific 77 00:04:46,960 --> 00:04:52,440 Speaker 1: attacks we have seen UM on video are the ones 78 00:04:52,520 --> 00:04:55,479 Speaker 1: that Joe you dug into. You know, the attacks we've 79 00:04:55,520 --> 00:04:59,600 Speaker 1: seen in Oakland, for instance, UM elderly men being or 80 00:04:59,839 --> 00:05:03,520 Speaker 1: or women being senselessly beaten. We've seen these attacks in 81 00:05:03,640 --> 00:05:08,000 Speaker 1: Nancy Pelosi's backyard in San Francisco UM. And if you 82 00:05:08,120 --> 00:05:13,880 Speaker 1: talk to the local UM political activists, the local Asian representatives, 83 00:05:13,880 --> 00:05:17,480 Speaker 1: who are actually honest, they will tell you that these 84 00:05:17,520 --> 00:05:21,279 Speaker 1: attacks have been happening for a very long time. People 85 00:05:21,320 --> 00:05:24,479 Speaker 1: have simply not been paying attention to them. People have 86 00:05:24,600 --> 00:05:28,360 Speaker 1: not been willing to call them racially motivated attacks. And 87 00:05:28,839 --> 00:05:31,440 Speaker 1: the people on the left who are so eager to 88 00:05:31,480 --> 00:05:36,320 Speaker 1: talk about racism against Asians during the COVID pandemic, including 89 00:05:36,480 --> 00:05:40,599 Speaker 1: Mr Nadler, these people have been nowhere to be found 90 00:05:40,839 --> 00:05:44,360 Speaker 1: in the past, in the past decades, when time and 91 00:05:44,480 --> 00:05:50,160 Speaker 1: time again crimes against Asians have occurred, particularly in urban areas, 92 00:05:50,200 --> 00:05:54,720 Speaker 1: and particularly when the perpetrators are not white, because according 93 00:05:54,760 --> 00:05:58,279 Speaker 1: to their political ideology, they have no idea what to 94 00:05:58,360 --> 00:06:02,120 Speaker 1: do about such incidents. Well, the reason this is important, 95 00:06:02,440 --> 00:06:05,559 Speaker 1: I think it's obvious. I don't like black on Asian 96 00:06:05,640 --> 00:06:07,920 Speaker 1: violence anymore than I like white on Asian violence. It's 97 00:06:08,000 --> 00:06:10,479 Speaker 1: all horrible and needs to be stopped. But you can't 98 00:06:10,520 --> 00:06:13,520 Speaker 1: solve a problem if you don't correctly identify it. And 99 00:06:13,560 --> 00:06:15,839 Speaker 1: if we're all running around trying to solve the white 100 00:06:15,880 --> 00:06:20,560 Speaker 1: on Asian violence spree and it's not what's going on, 101 00:06:20,600 --> 00:06:23,320 Speaker 1: how the hell are you ever going to solve it? Exactly? 102 00:06:23,360 --> 00:06:26,160 Speaker 1: And I think it's because the left have a narrative. 103 00:06:26,240 --> 00:06:30,080 Speaker 1: Their narrative is that there is white supremacy um and 104 00:06:30,279 --> 00:06:34,200 Speaker 1: that and that. Of course, in recent years, the narrative 105 00:06:34,320 --> 00:06:36,480 Speaker 1: is that Trump is a racist. So every time they 106 00:06:36,520 --> 00:06:41,560 Speaker 1: see anything race related to them, it is automatically Trump's fault. 107 00:06:41,839 --> 00:06:46,840 Speaker 1: And to them, they also cannot possibly comprehend that minorities 108 00:06:46,880 --> 00:06:50,039 Speaker 1: could potentially be racist towards each other because they feel 109 00:06:50,080 --> 00:06:53,680 Speaker 1: that all minorities must be united against white people. And 110 00:06:53,760 --> 00:06:58,280 Speaker 1: so that is where this narrative, this public discourse breaks down, 111 00:06:58,320 --> 00:07:01,120 Speaker 1: because I think I first came on your show about 112 00:07:01,160 --> 00:07:04,320 Speaker 1: ten years ago, and in fact, about ten years ago 113 00:07:04,839 --> 00:07:08,560 Speaker 1: was when I wrote about a series of horrific block 114 00:07:08,680 --> 00:07:12,920 Speaker 1: on Asian attacks in the Oakland, San Francisco Bay area, 115 00:07:13,120 --> 00:07:15,320 Speaker 1: and that was well before Trump came on the scene. 116 00:07:15,360 --> 00:07:19,360 Speaker 1: And I remember very clearly all those weasel politicians on 117 00:07:19,400 --> 00:07:22,520 Speaker 1: the left, people like David Chew. Um. Oh, and let's 118 00:07:22,560 --> 00:07:25,640 Speaker 1: not forget George Gascon, who is now the d A 119 00:07:25,880 --> 00:07:28,760 Speaker 1: of Los Angeles, was at the time the police chief 120 00:07:29,040 --> 00:07:31,960 Speaker 1: in San Francisco. And what if they do when a 121 00:07:32,040 --> 00:07:35,520 Speaker 1: lot of these horrific block on Asian attacks happened about 122 00:07:35,840 --> 00:07:38,360 Speaker 1: in that time frame, about ten years ago, all of 123 00:07:38,360 --> 00:07:41,120 Speaker 1: these weasels got up there and said, this has nothing 124 00:07:41,160 --> 00:07:44,800 Speaker 1: to do with race. These are nearly crimes of opportunity. Um. 125 00:07:45,320 --> 00:07:48,800 Speaker 1: Let's all, everybody calm down and hold hands and and 126 00:07:48,800 --> 00:07:53,000 Speaker 1: and this is the type of behavior that is very dishonest, 127 00:07:53,000 --> 00:07:55,480 Speaker 1: It is very hypocritical. And of course you see that 128 00:07:55,840 --> 00:07:59,160 Speaker 1: people like that today are the first months to blame 129 00:08:00,120 --> 00:08:05,520 Speaker 1: attacks on race, on Asians, on racism, and on specifically 130 00:08:05,880 --> 00:08:10,600 Speaker 1: Trump's racism or Trump supporters racism. Um. And so the 131 00:08:10,960 --> 00:08:14,240 Speaker 1: problem is that, as I said on your show before, 132 00:08:14,280 --> 00:08:18,000 Speaker 1: everybody is capable of being racist. Everybody is capable of 133 00:08:18,040 --> 00:08:20,840 Speaker 1: being an idiot and a jackass, um. And I do 134 00:08:20,920 --> 00:08:23,960 Speaker 1: believe that. You know, as we saw yesterday in Atlanta, 135 00:08:24,280 --> 00:08:28,400 Speaker 1: the perpetrator was a white guy. But the crucial thing 136 00:08:28,520 --> 00:08:31,520 Speaker 1: is we need to be honest about this. We need 137 00:08:31,600 --> 00:08:34,520 Speaker 1: to be honest about what's happened, and not just during 138 00:08:34,559 --> 00:08:37,199 Speaker 1: the COVID era, but all the attacks that have happened 139 00:08:37,240 --> 00:08:40,120 Speaker 1: well before that, UM, and all the attacks that have 140 00:08:40,520 --> 00:08:44,520 Speaker 1: UM that could have been potentially racially motivated. That all 141 00:08:44,520 --> 00:08:47,439 Speaker 1: the people on the left have absolutely decided to do 142 00:08:47,640 --> 00:08:50,679 Speaker 1: nothing about. Ying Ma's online author of Chinese Girl in 143 00:08:50,720 --> 00:08:53,160 Speaker 1: the Ghetto, contributor to a number of fine news sources. 144 00:08:53,240 --> 00:08:55,960 Speaker 1: And am I correct that this is what a third 145 00:08:56,040 --> 00:08:58,000 Speaker 1: railness is and we're probably nuts to even be talking 146 00:08:58,000 --> 00:09:02,920 Speaker 1: about it. But um, Fox News wrote about this and 147 00:09:03,040 --> 00:09:06,160 Speaker 1: quoted you, but they left out the part about black 148 00:09:06,200 --> 00:09:09,240 Speaker 1: on black on Asian violence. Is that correct? Oh? You 149 00:09:09,280 --> 00:09:13,960 Speaker 1: are absolutely correct. Now I don't know, um, exactly what 150 00:09:14,080 --> 00:09:16,880 Speaker 1: the motivation is. The Fox News interviewed me a couple 151 00:09:16,920 --> 00:09:19,920 Speaker 1: of days ago asking about a report that was issued 152 00:09:19,920 --> 00:09:23,240 Speaker 1: by a left wing Asian group. UM. And you have 153 00:09:23,400 --> 00:09:25,520 Speaker 1: heard about this left wing Asian group because they're the 154 00:09:25,520 --> 00:09:28,720 Speaker 1: ones who have been reporting repeatedly in the past year 155 00:09:29,120 --> 00:09:32,560 Speaker 1: about the rise in hate crimes against Asian Americans. Now 156 00:09:32,880 --> 00:09:35,680 Speaker 1: that endeavor in and of itself, I have no problems 157 00:09:35,720 --> 00:09:38,520 Speaker 1: with the The big problem is this the left wing 158 00:09:38,600 --> 00:09:42,840 Speaker 1: Asian American group. UM. They they're called to stop a 159 00:09:43,040 --> 00:09:47,439 Speaker 1: p I hate Reporting center. When you look at their reports, 160 00:09:47,480 --> 00:09:51,959 Speaker 1: they are eager to point out when incidents are perpetrated 161 00:09:51,960 --> 00:09:55,839 Speaker 1: by white people, and yet when incidents are perpetrated by 162 00:09:55,840 --> 00:09:58,960 Speaker 1: people who are non white, the rate of the perpetrators 163 00:09:59,440 --> 00:10:03,960 Speaker 1: um it is not identified. Um. And I explained this 164 00:10:04,080 --> 00:10:08,040 Speaker 1: to the reporter at Fox. I also explained everything I 165 00:10:08,120 --> 00:10:09,960 Speaker 1: just explained to you guys about, you know, in the 166 00:10:10,000 --> 00:10:13,040 Speaker 1: past five to seven minutes or so, to the reporter 167 00:10:13,080 --> 00:10:16,959 Speaker 1: at Fox. That was completely ignored. Now you'll have to 168 00:10:17,000 --> 00:10:19,400 Speaker 1: ask the reporter why that is the case. Perhaps he 169 00:10:19,480 --> 00:10:22,160 Speaker 1: simply did not feel that it was important to block 170 00:10:22,280 --> 00:10:25,240 Speaker 1: on Asian violence to be highlighted. I'm not gonna you know, 171 00:10:25,280 --> 00:10:27,800 Speaker 1: I'm not gonna guess. All I'm saying is that this 172 00:10:27,880 --> 00:10:31,600 Speaker 1: is a very crucial part of the discussion, and that 173 00:10:31,640 --> 00:10:38,400 Speaker 1: has been ignored even by Fox, A purportedly conservative publications. Well, um, 174 00:10:38,559 --> 00:10:40,679 Speaker 1: on this most recent story of what happened in Georgia 175 00:10:40,679 --> 00:10:44,000 Speaker 1: with this sexual nut job going around to basically brothels 176 00:10:44,000 --> 00:10:46,240 Speaker 1: and killing the prostitute city is having sex with because 177 00:10:46,280 --> 00:10:48,480 Speaker 1: they're too much of a temptation. That's got nothing to 178 00:10:48,520 --> 00:10:50,199 Speaker 1: do with what we were just talking about. Even though 179 00:10:50,240 --> 00:10:53,920 Speaker 1: it's being used as the example of how bad the 180 00:10:54,080 --> 00:10:57,280 Speaker 1: anti China backlash has gotten. And to me, the media 181 00:10:57,360 --> 00:10:59,920 Speaker 1: is really missing out on an opportunity to let the kunk. 182 00:11:00,080 --> 00:11:02,400 Speaker 1: We know, we already know this, but a lot of 183 00:11:02,440 --> 00:11:05,439 Speaker 1: people don't know. There are thousands and thousands and thousands 184 00:11:05,480 --> 00:11:07,839 Speaker 1: of women, a lot of Asian women who are sex 185 00:11:07,880 --> 00:11:11,320 Speaker 1: slaves in this country being used in these massage parlors 186 00:11:11,360 --> 00:11:13,760 Speaker 1: as sex slaves. And that seems like a hell of 187 00:11:13,800 --> 00:11:16,240 Speaker 1: an interesting story. But I guess, I guess it's gonna 188 00:11:16,240 --> 00:11:20,000 Speaker 1: get lost here. Well, that's the sex life story is 189 00:11:20,000 --> 00:11:22,360 Speaker 1: probably one you'll have to talk to someone else about. 190 00:11:22,440 --> 00:11:25,640 Speaker 1: But you just reminded me as something that people keep 191 00:11:25,720 --> 00:11:30,240 Speaker 1: complaining about, this anti China backlash. The backlash against China 192 00:11:30,520 --> 00:11:34,880 Speaker 1: is absolutely justified. They inspected the entire world with the 193 00:11:35,000 --> 00:11:39,800 Speaker 1: COVID virus um and and so what the left has done, 194 00:11:40,400 --> 00:11:44,520 Speaker 1: um it is to accuse anyone and everybody who is 195 00:11:45,120 --> 00:11:50,440 Speaker 1: um interested in holding China accountable for riaking havoc on 196 00:11:50,520 --> 00:11:55,000 Speaker 1: the world UM as a racist, as someone who's anti Chinese. 197 00:11:55,480 --> 00:11:59,400 Speaker 1: And and so that is the part that we also 198 00:11:59,559 --> 00:12:03,079 Speaker 1: need to think, you know, we we also need to 199 00:12:03,120 --> 00:12:06,760 Speaker 1: be very careful about that, because, um, you know, it 200 00:12:06,880 --> 00:12:10,720 Speaker 1: is important to separate China from Chinese, from patriotic Chinese 201 00:12:10,720 --> 00:12:13,360 Speaker 1: Americans as well as from other Asian Americans who could 202 00:12:13,440 --> 00:12:18,040 Speaker 1: be mistaken as Chinese. However, uk't possibly just look at 203 00:12:18,040 --> 00:12:20,680 Speaker 1: the past year, look at all the deaths, all the 204 00:12:20,840 --> 00:12:25,680 Speaker 1: you know, all the um, all the chaos, and say, oh, look, 205 00:12:25,840 --> 00:12:29,360 Speaker 1: not criticized China because it might be interpreted as racist. 206 00:12:29,400 --> 00:12:32,400 Speaker 1: First of all, the best way for Chinese Americans and 207 00:12:32,440 --> 00:12:36,640 Speaker 1: Asian Americans to separate themselves from the culpability of this 208 00:12:37,160 --> 00:12:43,120 Speaker 1: authoritarian regime in Beijing is to condemn it unequivocally. Condemned 209 00:12:43,200 --> 00:12:46,640 Speaker 1: China as the source of the damn China virus, Condemned 210 00:12:46,679 --> 00:12:50,920 Speaker 1: China as the source of COVID, Condemned China's having hidden 211 00:12:51,040 --> 00:12:54,360 Speaker 1: the starred virus um in the early days and then 212 00:12:54,480 --> 00:12:57,200 Speaker 1: spreading it to the world um to the degree that 213 00:12:57,280 --> 00:13:00,720 Speaker 1: it has been spread. Um. It is something that everybody 214 00:13:00,760 --> 00:13:04,120 Speaker 1: needs to condemn. However, it would do Asian Americans and 215 00:13:04,240 --> 00:13:08,640 Speaker 1: Chinese Americans a lot of good if these UM organizations 216 00:13:08,679 --> 00:13:12,080 Speaker 1: that claim to represent them would actually come out and 217 00:13:12,160 --> 00:13:16,280 Speaker 1: condemn Beijing, because that actually is probably the best way 218 00:13:16,320 --> 00:13:20,280 Speaker 1: to separate Chinese Americans from China's culpability. What can we 219 00:13:20,320 --> 00:13:21,800 Speaker 1: do to help you out, ying Ma or would you 220 00:13:21,800 --> 00:13:23,120 Speaker 1: like people to go or what would you like me 221 00:13:23,120 --> 00:13:25,360 Speaker 1: to read? Or whatever? Your Twitter accounts? You go website? 222 00:13:25,360 --> 00:13:29,400 Speaker 1: You what do you got? Uh? My website is Yingma 223 00:13:29,440 --> 00:13:32,559 Speaker 1: dot org. Y I n g um m a dot org. 224 00:13:33,080 --> 00:13:35,920 Speaker 1: Please do follow me on Twitter and that is g 225 00:13:36,320 --> 00:13:41,760 Speaker 1: Z two ghetto. So again that's g z t o 226 00:13:42,520 --> 00:13:45,600 Speaker 1: g h e t t o. All right, we'll have 227 00:13:45,640 --> 00:13:47,560 Speaker 1: a link at Armstrong and getty dot com so that 228 00:13:47,640 --> 00:13:50,720 Speaker 1: people can find it effortlessly. Ying Ma, author of Chinese Girl, 229 00:13:50,720 --> 00:13:53,800 Speaker 1: and getto always great to talk, Thank you, Thank you 230 00:13:53,840 --> 00:13:56,320 Speaker 1: so much. Great to talk to you, guys. Absolutely, we 231 00:13:56,360 --> 00:13:58,920 Speaker 1: need to revisit what Jerry Nadler just said a little 232 00:13:58,960 --> 00:14:02,120 Speaker 1: bit ago. That whole God, that's unforgivable. People are blaming 233 00:14:02,200 --> 00:14:05,760 Speaker 1: China and this is wrong. Boy, wow, what what? Why 234 00:14:05,760 --> 00:14:08,120 Speaker 1: are you? Why are you carrying water for freaking China? There? 235 00:14:09,520 --> 00:14:11,520 Speaker 1: And one more point before we move on. You ought 236 00:14:11,520 --> 00:14:13,920 Speaker 1: to read her book because it's brilliant and it's heartbreaking 237 00:14:13,920 --> 00:14:16,920 Speaker 1: and the rest of it and all racism is evil 238 00:14:17,160 --> 00:14:20,120 Speaker 1: in every direction and ought to be condemned. But if 239 00:14:20,160 --> 00:14:23,240 Speaker 1: you've fallen for the idiotic lie that only white people 240 00:14:23,400 --> 00:14:26,680 Speaker 1: can be racist. Well read her book and and just 241 00:14:26,760 --> 00:14:29,440 Speaker 1: by the way, if somebody starts beating down old black 242 00:14:29,480 --> 00:14:31,920 Speaker 1: people somewhere, we're gonna jump down their throat too. That's 243 00:14:31,960 --> 00:14:35,320 Speaker 1: not about white black Asian. It's about protecting people and 244 00:14:35,360 --> 00:14:39,040 Speaker 1: making sure they're not the victims of terrible crimes. Are