1 00:00:03,640 --> 00:00:06,640 Speaker 1: It's a clear winter day in December, and I'm on 2 00:00:06,680 --> 00:00:11,000 Speaker 1: the south side of Milwaukee, Wisconsin. Straight ahead, I see Mithierra, 3 00:00:11,480 --> 00:00:17,919 Speaker 1: Spanish American grocery store. I'm walking down Thirteenth Street, which 4 00:00:17,960 --> 00:00:22,880 Speaker 1: is also known as Grisol Corridor. Grisol means melting pot 5 00:00:22,960 --> 00:00:27,440 Speaker 1: in Spanish. I'm with reporter Angelina Moscher Salasad, who's showing 6 00:00:27,480 --> 00:00:28,680 Speaker 1: me around here. 7 00:00:29,040 --> 00:00:31,280 Speaker 2: This is Rican mix. 8 00:00:31,840 --> 00:00:33,840 Speaker 3: H Rican MiGs get out. 9 00:00:34,560 --> 00:00:37,640 Speaker 1: It's the Mexicans and the Puerto Ricans. You may not 10 00:00:37,880 --> 00:00:41,720 Speaker 1: think of Wisconsin as a very Latino state, but Wisconsin's 11 00:00:41,760 --> 00:00:45,559 Speaker 1: Latino population nearly doubled in size from two thousand to 12 00:00:45,640 --> 00:00:51,240 Speaker 1: twenty fifteen. And this neighborhood of Milwaukee is sixty six 13 00:00:51,280 --> 00:00:53,239 Speaker 1: percent Latina and Latino. 14 00:00:53,360 --> 00:00:57,880 Speaker 2: And it's like wedge between here. We have takerier randas, we. 15 00:00:57,840 --> 00:01:01,920 Speaker 1: Walk by an interesting looking Latin art gallery. Then we 16 00:01:02,040 --> 00:01:05,440 Speaker 1: pass by an old school Western wear shop, and of 17 00:01:05,440 --> 00:01:10,040 Speaker 1: course there are several Mexican supermarkets. But then there is 18 00:01:10,400 --> 00:01:13,119 Speaker 1: the party store. It is Dusemania. 19 00:01:13,360 --> 00:01:14,160 Speaker 3: Here is what it is. 20 00:01:14,200 --> 00:01:19,760 Speaker 1: And they've got bignatas. They've got like that's a SpongeBob 21 00:01:19,800 --> 00:01:25,280 Speaker 1: hanging out Spongeboba, and they've got a what are those guys. Oh, 22 00:01:25,360 --> 00:01:28,600 Speaker 1: the Ninja turtle, The Ninja Turtle. Then we get to 23 00:01:28,640 --> 00:01:31,400 Speaker 1: the corner of thirteenth in Cleveland, which is just a 24 00:01:31,520 --> 00:01:34,680 Speaker 1: ten minute drive from downtown Milwaukee. 25 00:01:34,360 --> 00:01:37,160 Speaker 2: And then we have La Takiria Lacerta right here. 26 00:01:37,720 --> 00:01:40,280 Speaker 1: So this is a pretty nondescript corner. I have to say, 27 00:01:40,319 --> 00:01:44,440 Speaker 1: there's not much happening. There's a big parking lot and 28 00:01:44,480 --> 00:01:47,920 Speaker 1: an all these food mart. But while this might be 29 00:01:48,160 --> 00:01:52,480 Speaker 1: a pretty typical corner, it's right here in the heart 30 00:01:52,640 --> 00:01:56,160 Speaker 1: of this Latino community. That's something terrible happened. 31 00:01:56,280 --> 00:01:59,960 Speaker 2: And from the surveillance video from the restaurant, the attack 32 00:02:00,160 --> 00:02:02,280 Speaker 2: took place right there on that corner. 33 00:02:07,720 --> 00:02:18,560 Speaker 1: From Futuro Media, It's Latino USA. I'm Maria ino Josa. 34 00:02:23,280 --> 00:02:26,160 Speaker 1: Over the last few years, as immigration has become a 35 00:02:26,200 --> 00:02:30,000 Speaker 1: heated topic of discussion, we've heard more and more stories 36 00:02:30,080 --> 00:02:35,240 Speaker 1: about racist comments and instances of violence against Latinos and Latinas, 37 00:02:35,919 --> 00:02:44,800 Speaker 1: and that's reflected in FBI data on hate crimes. In 38 00:02:44,919 --> 00:02:49,280 Speaker 1: twenty eighteen, the FBI reported that personal attacks motivated by 39 00:02:49,360 --> 00:02:53,560 Speaker 1: bias or prejudice across the United States reached a sixteen 40 00:02:53,720 --> 00:02:58,160 Speaker 1: year high, and specifically, they reported that hate crimes against 41 00:02:58,240 --> 00:03:04,360 Speaker 1: Latinos and Latinas when up twenty one percent. But while 42 00:03:04,400 --> 00:03:07,760 Speaker 1: some instances, like the mass shooting in al Paso, Texas, 43 00:03:08,080 --> 00:03:13,640 Speaker 1: make headlines, many other incidents are never even reported. To 44 00:03:13,720 --> 00:03:16,720 Speaker 1: better understand why that is and what these trends mean 45 00:03:16,800 --> 00:03:20,480 Speaker 1: for Latinos and Latinas, I go along with local reporter 46 00:03:20,639 --> 00:03:25,600 Speaker 1: Angelina Mojer Sarasad to Milwaukee, Wisconsin. We dive into one 47 00:03:25,680 --> 00:03:28,959 Speaker 1: violent attack there and look at how this story did 48 00:03:29,000 --> 00:03:30,440 Speaker 1: briefly make headlines. 49 00:03:33,160 --> 00:03:38,080 Speaker 2: I not and I rang the bell oh Oha. 50 00:03:40,640 --> 00:03:43,480 Speaker 1: We meet Maud vi Alas at his home in the 51 00:03:43,520 --> 00:03:50,880 Speaker 1: heart of the South Side. Maud is in his early 52 00:03:50,960 --> 00:03:54,880 Speaker 1: forties and he has a wide, inviting smile, and for 53 00:03:54,920 --> 00:03:58,800 Speaker 1: a Peruvian who has Chinese heritage, he also has a 54 00:03:58,880 --> 00:04:03,960 Speaker 1: little bit of an annus usual name. He tells us 55 00:04:03,960 --> 00:04:06,680 Speaker 1: that his dad got the name from a book. Your 56 00:04:06,760 --> 00:04:09,440 Speaker 1: dad is not Arab, He's not. 57 00:04:09,440 --> 00:04:12,160 Speaker 3: Muslim, his mos He likes the name. 58 00:04:12,360 --> 00:04:14,040 Speaker 1: What was he reading? Do you know what he was? 59 00:04:14,440 --> 00:04:18,520 Speaker 4: That was about a prince, a warrior prince and Prince Eberro. 60 00:04:19,000 --> 00:04:21,599 Speaker 5: In his house, Mawu has a picture of his father 61 00:04:21,720 --> 00:04:31,080 Speaker 5: looking regal and serious in a Peruvian military uniforms. He 62 00:04:31,160 --> 00:04:34,000 Speaker 5: says he was twelve when his father passed away and 63 00:04:34,120 --> 00:04:37,120 Speaker 5: he still misses him. When he was a teenager, his 64 00:04:37,240 --> 00:04:40,000 Speaker 5: mother sent him to the United States mamm. 65 00:04:39,839 --> 00:04:52,960 Speaker 3: And miro Ma Mali, Peru. 66 00:04:53,279 --> 00:04:56,120 Speaker 5: He says, his mother told him you have to go 67 00:04:56,360 --> 00:05:00,160 Speaker 5: because here you'll be nothing. She told him things are 68 00:05:00,160 --> 00:05:02,920 Speaker 5: bad in Peru and you should go to the US 69 00:05:02,960 --> 00:05:06,799 Speaker 5: so you can move forward. Mawood was eighteen, didn't speak 70 00:05:06,800 --> 00:05:10,520 Speaker 5: English and had no idea where Wisconsin was. He had 71 00:05:10,560 --> 00:05:13,640 Speaker 5: never heard of Milwaukee, but he did have a cousin 72 00:05:13,760 --> 00:05:14,880 Speaker 5: who lived in the city. 73 00:05:15,200 --> 00:05:20,960 Speaker 1: What was that like, like your mother saying, go, oh, 74 00:05:21,040 --> 00:05:25,000 Speaker 1: you were like freedom in the United States? What did 75 00:05:25,000 --> 00:05:27,840 Speaker 1: the United States kind of symbolize or represent for you? 76 00:05:27,920 --> 00:05:34,240 Speaker 4: Like symbolize American dream symbolized if you work hard, you 77 00:05:34,279 --> 00:05:35,159 Speaker 4: can't get anything. 78 00:05:35,200 --> 00:05:37,200 Speaker 3: That's what I love about this country. 79 00:05:38,520 --> 00:05:41,840 Speaker 1: He started out working for General Electric, and in almost 80 00:05:41,880 --> 00:05:44,600 Speaker 1: two decades that he's been in this country, Mode has 81 00:05:44,640 --> 00:05:52,640 Speaker 1: done pretty much every single job possible mechanico. So he's 82 00:05:52,680 --> 00:05:56,480 Speaker 1: worked as a mechanic, a welder, and a construction worker, 83 00:05:56,720 --> 00:05:58,080 Speaker 1: and he's done a lot of. 84 00:05:58,040 --> 00:06:04,440 Speaker 4: Other things in stalls. Piso's tribal roofing oh my god. 85 00:06:06,760 --> 00:06:09,880 Speaker 5: Mood eventually became a citizen and married a woman from 86 00:06:09,880 --> 00:06:13,039 Speaker 5: Peru and now has two young sons, and he talks 87 00:06:13,080 --> 00:06:13,839 Speaker 5: about them a lot. 88 00:06:13,960 --> 00:06:14,440 Speaker 3: I think. 89 00:06:16,480 --> 00:06:20,840 Speaker 4: Leader Instillo how much. 90 00:06:21,440 --> 00:06:23,320 Speaker 5: He says he wants to start his own company and 91 00:06:23,400 --> 00:06:25,479 Speaker 5: teach his sons how to use a hammer and a 92 00:06:25,520 --> 00:06:32,920 Speaker 5: machine welder, teach them to fix every kind of thing 93 00:06:33,279 --> 00:06:33,920 Speaker 5: just like he can. 94 00:06:39,480 --> 00:06:43,320 Speaker 1: On November one of twenty nineteen, Maud had just finished 95 00:06:43,320 --> 00:06:46,560 Speaker 1: working a long day welding. It was a Friday evening, 96 00:06:46,640 --> 00:06:50,040 Speaker 1: around six pm, and he drove to his favorite taco spot, 97 00:06:50,160 --> 00:06:53,560 Speaker 1: which is Latakia La Sirita, and he wanted to pick 98 00:06:53,600 --> 00:06:56,839 Speaker 1: up some dinner. He pulls up in front of the restaurant, 99 00:06:57,040 --> 00:07:00,320 Speaker 1: parks his car and gets out. A man a little 100 00:07:00,320 --> 00:07:04,039 Speaker 1: bit older standing by the bus stop approaches him and 101 00:07:04,160 --> 00:07:07,520 Speaker 1: tells Mawood that he needs to move his car, saying 102 00:07:07,560 --> 00:07:08,920 Speaker 1: that he's parked illegally. 103 00:07:09,960 --> 00:07:12,000 Speaker 5: Mood says he's not, but he goes and moves his 104 00:07:12,000 --> 00:07:15,280 Speaker 5: struck anyway, and when he comes back, the man is 105 00:07:15,280 --> 00:07:20,320 Speaker 5: still there, but this time the man's comments become racist. 106 00:07:20,640 --> 00:07:23,320 Speaker 4: He told me you're illegal, You're a nor my status, 107 00:07:23,480 --> 00:07:24,520 Speaker 4: what are you talking about? 108 00:07:24,560 --> 00:07:25,480 Speaker 3: You came illegally. 109 00:07:26,440 --> 00:07:29,360 Speaker 5: The man keeps arguing with him. Mawood says he told 110 00:07:29,440 --> 00:07:32,840 Speaker 5: him to go back to his country and that he 111 00:07:33,080 --> 00:07:36,920 Speaker 5: came here to invade. He continues to accuse mode of 112 00:07:36,960 --> 00:07:38,240 Speaker 5: being illegal. 113 00:07:41,000 --> 00:07:44,239 Speaker 3: Is IMMIGRANTE at some point you were immigrant. 114 00:07:43,800 --> 00:07:46,520 Speaker 1: Too, But Mawood doesn't back down. 115 00:07:47,200 --> 00:07:48,559 Speaker 3: I was arguing some points. 116 00:07:48,680 --> 00:07:52,800 Speaker 4: Everybody hears immigrant, so it's no points talking that way. 117 00:07:52,880 --> 00:07:54,520 Speaker 3: Why are you talking that way? You know? 118 00:07:55,200 --> 00:07:57,680 Speaker 1: And the very last thing he remembers saying to the 119 00:07:57,720 --> 00:08:01,600 Speaker 1: man is that if Mawood was illegal, then pretty much 120 00:08:01,600 --> 00:08:06,480 Speaker 1: everyone in the United States is illegal. You get close 121 00:08:06,560 --> 00:08:09,680 Speaker 1: to him, I think you have your finger out. 122 00:08:09,640 --> 00:08:10,280 Speaker 4: Right my pharm. 123 00:08:10,360 --> 00:08:14,040 Speaker 3: Mama, Indians and pure here the longest. 124 00:08:13,640 --> 00:08:16,239 Speaker 1: Nobody, he said, had more claim to the United States 125 00:08:16,440 --> 00:08:20,400 Speaker 1: than Native Americans. And then that's when it happened. 126 00:08:21,000 --> 00:08:23,200 Speaker 5: The man took a small bottle out of his jacket 127 00:08:23,240 --> 00:08:27,200 Speaker 5: pocket and threw it in Maud's face. His face immediately 128 00:08:27,240 --> 00:08:28,160 Speaker 5: started to burn. 129 00:08:28,600 --> 00:08:35,160 Speaker 4: Ten seconds after he do that, Corindo orando. 130 00:08:35,480 --> 00:08:38,800 Speaker 5: He rushed into the restaurant, running towards the waitresses, screaming 131 00:08:38,960 --> 00:08:48,360 Speaker 5: and crying. He went straight for the bathroom and started 132 00:08:48,400 --> 00:08:53,439 Speaker 5: pouring water on his face. Mood says he felt the 133 00:08:53,440 --> 00:08:55,600 Speaker 5: most amount of pain in his eye. 134 00:08:56,080 --> 00:08:59,200 Speaker 1: And then he looked down at his hands. 135 00:08:59,080 --> 00:09:02,800 Speaker 3: And I see my hands red. 136 00:09:01,960 --> 00:09:05,559 Speaker 1: And he thought he saw blood in the bathroom. Maud's 137 00:09:05,559 --> 00:09:06,679 Speaker 1: mind was racing. 138 00:09:07,040 --> 00:09:07,600 Speaker 3: What is this? 139 00:09:08,520 --> 00:09:09,240 Speaker 4: Ekoma say? 140 00:09:09,440 --> 00:09:10,559 Speaker 3: Is acid? 141 00:09:10,960 --> 00:09:13,560 Speaker 1: The red color on his hands? It was because the 142 00:09:13,640 --> 00:09:16,600 Speaker 1: acid had burned through his purple jacket and the dye 143 00:09:16,760 --> 00:09:17,280 Speaker 1: was running. 144 00:09:17,520 --> 00:09:19,800 Speaker 3: How did you know that because I tasted it? 145 00:09:20,000 --> 00:09:23,040 Speaker 1: I mean, I wouldn't know what acid tastes. 146 00:09:22,720 --> 00:09:24,080 Speaker 3: Like in the smell tool. 147 00:09:24,320 --> 00:09:25,920 Speaker 1: Oh, it's because it's battery acid. 148 00:09:26,080 --> 00:09:28,680 Speaker 4: Right, I'm a mechanic tool and I know how the 149 00:09:28,720 --> 00:09:32,000 Speaker 4: barrey acid it is and the smell like bleach. 150 00:09:32,600 --> 00:09:40,320 Speaker 1: What he remembers next is the ambulance that attack. Mood 151 00:09:40,360 --> 00:09:42,520 Speaker 1: says that it was there that he had a panic 152 00:09:42,559 --> 00:09:46,160 Speaker 1: attack because they tied him down in the stretcher. But 153 00:09:46,280 --> 00:09:48,520 Speaker 1: he said he didn't want to be tied down. 154 00:09:48,679 --> 00:09:50,640 Speaker 4: That's the more scare of my life. I thought, I'm 155 00:09:50,640 --> 00:09:52,280 Speaker 4: gonna never saw my bows anymore. 156 00:10:03,160 --> 00:10:06,040 Speaker 5: Mood was rushed to the hospital. He had second degree 157 00:10:06,120 --> 00:10:08,680 Speaker 5: burns to his face and his vision was cloudy in 158 00:10:08,720 --> 00:10:09,680 Speaker 5: his left eye. 159 00:10:09,760 --> 00:10:11,200 Speaker 1: But he could still see. 160 00:10:11,880 --> 00:10:14,000 Speaker 5: When he was stable, he called his son. 161 00:10:14,480 --> 00:10:19,360 Speaker 4: I'm okay, I'm at a hospital right now, so everything 162 00:10:19,360 --> 00:10:20,120 Speaker 4: is fine, all right. 163 00:10:20,440 --> 00:10:21,400 Speaker 3: I love you very much. 164 00:10:22,280 --> 00:10:26,520 Speaker 5: Pricilla Biellas Moude's sister, took this video and it would 165 00:10:26,559 --> 00:10:29,840 Speaker 5: be the start of a very well documented incident which 166 00:10:29,880 --> 00:10:31,720 Speaker 5: would make all the difference. 167 00:10:43,640 --> 00:10:47,120 Speaker 6: Good afternoon, everyone, Thank you for coming out and joining 168 00:10:47,200 --> 00:10:48,400 Speaker 6: us this afternoon. 169 00:10:49,000 --> 00:10:52,400 Speaker 1: Just twenty four hours after Mood was attacked and discharged 170 00:10:52,440 --> 00:10:55,880 Speaker 1: from the hospital, he holds a news conference. He gets 171 00:10:55,960 --> 00:10:59,440 Speaker 1: up in front of television cameras with his wounds still fresh, 172 00:10:59,720 --> 00:11:01,120 Speaker 1: and he tells his story. 173 00:11:02,120 --> 00:11:06,240 Speaker 3: Everyone, jus was driving my truck to the restaurant. 174 00:11:06,840 --> 00:11:08,960 Speaker 1: Now it speaks in front of a podium and he 175 00:11:09,000 --> 00:11:11,840 Speaker 1: has a lawyer with him and local elected officials. 176 00:11:12,160 --> 00:11:15,320 Speaker 3: It soon called me today, Maddie, will happened with you? 177 00:11:17,440 --> 00:11:19,520 Speaker 3: What I could tell him? Some crazy guy? That's just 178 00:11:19,640 --> 00:11:19,800 Speaker 3: to me. 179 00:11:25,160 --> 00:11:28,640 Speaker 1: His story got international attention. Al Jazeira covered it the 180 00:11:28,679 --> 00:11:32,719 Speaker 1: New York Times, NBC, the BBC, and so many others. 181 00:11:33,120 --> 00:11:35,880 Speaker 7: Well, you can still say the discoleration in the sidewalk 182 00:11:35,920 --> 00:11:37,520 Speaker 7: from where that ass was in. 183 00:11:37,320 --> 00:11:40,640 Speaker 6: This spot off thirteenth and Cleveland, where a man allegedly 184 00:11:40,800 --> 00:11:44,560 Speaker 6: downs a complete stranger with acid. Now the community is 185 00:11:44,679 --> 00:11:51,680 Speaker 6: left wondering why. 186 00:11:49,720 --> 00:11:52,120 Speaker 5: There were a few factors that helped my mode story 187 00:11:52,200 --> 00:11:54,640 Speaker 5: really get out there in a way that the average 188 00:11:54,679 --> 00:11:58,439 Speaker 5: Hay crime doesn't. He immediately reported the attack to police, 189 00:11:58,640 --> 00:12:01,400 Speaker 5: and there was clear, secure, already footage of the attack 190 00:12:01,520 --> 00:12:04,839 Speaker 5: and the person who attacked him, and that was shared online, 191 00:12:05,720 --> 00:12:08,600 Speaker 5: and his sister quickly reached out to a Latino advocacy 192 00:12:08,600 --> 00:12:11,440 Speaker 5: group for help, which helped to connect him with local 193 00:12:11,559 --> 00:12:14,760 Speaker 5: and state officials, organize a press conference, and get a 194 00:12:14,800 --> 00:12:17,760 Speaker 5: pro bono lawyer to accompany him as he gave his 195 00:12:17,840 --> 00:12:22,040 Speaker 5: statement to law enforcement. His family created a GoFundMe page 196 00:12:22,040 --> 00:12:25,320 Speaker 5: to offset the medical expenses, and in a matter of days, 197 00:12:25,320 --> 00:12:28,359 Speaker 5: Mahood raised over fifty thousand dollars. 198 00:12:28,760 --> 00:12:29,600 Speaker 2: And that wasn't all. 199 00:12:29,800 --> 00:12:34,000 Speaker 5: He received letters, calls, messages on Facebook, even one man 200 00:12:34,120 --> 00:12:35,800 Speaker 5: offering to buy him medicine. 201 00:12:36,080 --> 00:12:40,240 Speaker 4: This is guy is American but he works in India. Okay, okay, hey, 202 00:12:40,280 --> 00:12:42,920 Speaker 4: good morning, as Jules mittter Muff is now. As you 203 00:12:42,960 --> 00:12:45,320 Speaker 4: are your feeling recovery. 204 00:12:44,840 --> 00:12:47,840 Speaker 1: Avering, I can also send some facecream Navy, it would help. 205 00:12:47,920 --> 00:12:48,720 Speaker 4: Really nice guy. 206 00:12:51,960 --> 00:12:55,719 Speaker 5: Within days of the attack, police arrested in jailed Clifton Blackwell, 207 00:12:55,960 --> 00:12:58,360 Speaker 5: a white man in his early sixties, for the crime. 208 00:12:59,040 --> 00:13:01,760 Speaker 5: We should mention that he is a veteran whose mother 209 00:13:01,880 --> 00:13:04,440 Speaker 5: later told the news that he was suffering from post 210 00:13:04,440 --> 00:13:08,800 Speaker 5: traumatic stress disorder, and the district attorney is pursuing charges 211 00:13:08,840 --> 00:13:11,960 Speaker 5: with a hate crime enhancer, which means there's an added 212 00:13:12,040 --> 00:13:16,080 Speaker 5: five years to the sentence if he is convicted. Clifton 213 00:13:16,120 --> 00:13:19,880 Speaker 5: Blackwell was released in February on bond with an ankle monitor, 214 00:13:20,000 --> 00:13:21,199 Speaker 5: pending a trial. 215 00:13:20,960 --> 00:13:33,160 Speaker 1: Date coming up. On Latin USA, we look at the 216 00:13:33,200 --> 00:13:36,680 Speaker 1: bigger picture and talk to an expert about trends in 217 00:13:36,720 --> 00:14:28,000 Speaker 1: hate crime data. Stay with us, and we're back. When 218 00:14:28,040 --> 00:14:30,440 Speaker 1: we left off, we had just heard the story of 219 00:14:30,520 --> 00:14:35,000 Speaker 1: one man, Maud Vils, an immigrant from Peru, an American citizen, 220 00:14:35,240 --> 00:14:39,240 Speaker 1: who was attacked with acid in Milwaukee, Wisconsin. But what 221 00:14:39,440 --> 00:14:42,960 Speaker 1: happened to Maud is indicative of something grim that's happening 222 00:14:43,280 --> 00:14:47,200 Speaker 1: across the country. The numbers are showing an increasing level 223 00:14:47,200 --> 00:14:48,880 Speaker 1: of hate crimes overall. 224 00:14:49,360 --> 00:14:53,320 Speaker 7: Twenty nineteen was not a good year. In New York, 225 00:14:53,800 --> 00:14:58,400 Speaker 7: LA and Chicago, hate crimes hit their highest levels since 226 00:14:58,560 --> 00:15:01,560 Speaker 7: two thousand and one or two thousand and two, depending 227 00:15:01,560 --> 00:15:02,280 Speaker 7: on the cities. 228 00:15:02,480 --> 00:15:05,160 Speaker 1: This is Brian Levin. He's the director for the Center 229 00:15:05,240 --> 00:15:08,360 Speaker 1: for the Study of Hate and Extremism at California State 230 00:15:08,440 --> 00:15:12,120 Speaker 1: University San Bernardino, and he says there's been an upswing 231 00:15:12,240 --> 00:15:16,080 Speaker 1: in violence specifically against Latinos in. 232 00:15:16,000 --> 00:15:18,920 Speaker 7: The five years going from twenty thirteen to twenty eighteen, 233 00:15:19,440 --> 00:15:24,320 Speaker 7: almost a fifty percent increase in anti Latino hate crime. 234 00:15:24,560 --> 00:15:26,240 Speaker 1: I sat down with him to have a more in 235 00:15:26,280 --> 00:15:29,960 Speaker 1: depth talk about trends in hate crimes and why the 236 00:15:30,040 --> 00:15:34,560 Speaker 1: numbers actually don't reflect the whole picture. Because you've been 237 00:15:34,600 --> 00:15:38,200 Speaker 1: studying this for years. What do you point to in 238 00:15:38,320 --> 00:15:42,320 Speaker 1: terms of why this kind of a spike with anti 239 00:15:42,400 --> 00:15:44,240 Speaker 1: Latino Latina hate crimes? 240 00:15:44,880 --> 00:15:50,160 Speaker 7: Around twenty ten we saw the last big cluster of 241 00:15:50,240 --> 00:15:53,720 Speaker 7: anti Latino hate crimes, and it came a time when 242 00:15:53,720 --> 00:15:59,480 Speaker 7: we had an increase in undocumented border crossings as well 243 00:15:59,680 --> 00:16:04,840 Speaker 7: as political rhetoric and actual bills that were anti immigrant. 244 00:16:05,360 --> 00:16:10,920 Speaker 7: Election time twenty sixteen, when candidate Trump was an established leader, 245 00:16:11,800 --> 00:16:16,280 Speaker 7: that was the worst month for hate crime going back 246 00:16:16,920 --> 00:16:19,520 Speaker 7: to the first anniversary of nine to eleven, and the 247 00:16:19,600 --> 00:16:23,120 Speaker 7: day after election day, and this is FBI disaggregated data, 248 00:16:23,640 --> 00:16:25,680 Speaker 7: was the worst day for hate crime going back to 249 00:16:25,720 --> 00:16:28,800 Speaker 7: two thousand and three, and unfortunately, at least in the 250 00:16:28,840 --> 00:16:31,480 Speaker 7: last year, it looks like Latinos were bearing that brunt, 251 00:16:31,560 --> 00:16:34,760 Speaker 7: but if you remember the attack against Tree of Life Synagogue, 252 00:16:35,440 --> 00:16:39,680 Speaker 7: the motivation was Latino immigration and the fact that Jews 253 00:16:39,920 --> 00:16:42,400 Speaker 7: were perceived to be supportive of it. 254 00:16:42,800 --> 00:16:46,480 Speaker 1: I just want to be clear. Are you saying that 255 00:16:47,040 --> 00:16:52,120 Speaker 1: the political rhetoric coming out of the president's mouth has 256 00:16:52,920 --> 00:16:58,000 Speaker 1: a direct correlation to the increasing numbers of hate crimes 257 00:16:58,040 --> 00:17:00,800 Speaker 1: against Latinos and latinas well. 258 00:17:00,960 --> 00:17:05,520 Speaker 7: Certainly there's a direct correlation relating, for instance, to election 259 00:17:05,720 --> 00:17:08,600 Speaker 7: month and the day after election. It's clear and unmistakable. 260 00:17:08,840 --> 00:17:13,840 Speaker 7: Correlation isn't necessarily causation, but we do know that stereotypes 261 00:17:14,000 --> 00:17:18,160 Speaker 7: are the lifeblood of prejudice, and we have different types 262 00:17:18,640 --> 00:17:22,159 Speaker 7: of manifestations of this. Some of it involves statements on 263 00:17:22,200 --> 00:17:25,800 Speaker 7: the internet as well as an increase in hate crimes. 264 00:17:26,080 --> 00:17:28,800 Speaker 7: And we're starting to see some patterns too. For instance, 265 00:17:29,200 --> 00:17:32,600 Speaker 7: an African American will be nominated or elected, we see 266 00:17:32,600 --> 00:17:35,560 Speaker 7: a spike in anti black crimes during that time, but 267 00:17:35,640 --> 00:17:38,800 Speaker 7: it comes before the election, for instance. So in two 268 00:17:38,840 --> 00:17:40,200 Speaker 7: thousand and eight we saw that. 269 00:17:40,840 --> 00:17:44,879 Speaker 1: How do you break down what's happening with Latinos and 270 00:17:44,920 --> 00:17:50,160 Speaker 1: Latinas who are us born versus people who are being 271 00:17:50,280 --> 00:17:54,600 Speaker 1: targeted specifically because of their immigration status. 272 00:17:55,119 --> 00:17:57,720 Speaker 7: When we have people who are being attacked because of 273 00:17:57,760 --> 00:18:01,400 Speaker 7: their actual or perceived immigration status, it's a different type 274 00:18:01,400 --> 00:18:06,000 Speaker 7: of victimization, and it involves certain kinds of barriers, such 275 00:18:06,000 --> 00:18:09,960 Speaker 7: as linguistic barriers, which can still exist with citizens certainly, 276 00:18:10,280 --> 00:18:14,080 Speaker 7: but also the immigration status itself might make them an 277 00:18:14,119 --> 00:18:20,760 Speaker 7: easier mark and also less likely to report. Unfortunately, I 278 00:18:20,840 --> 00:18:23,560 Speaker 7: don't think that we are getting all the numbers in. 279 00:18:23,920 --> 00:18:27,600 Speaker 7: I think we have cultural issues, we have linguistic issues, 280 00:18:27,760 --> 00:18:31,600 Speaker 7: and we have fear of dealing with authorities, not for 281 00:18:31,680 --> 00:18:34,880 Speaker 7: the least of which that some of these people might 282 00:18:34,960 --> 00:18:39,240 Speaker 7: be legally vulnerable. So bottom line, states like Wisconsin look 283 00:18:39,359 --> 00:18:43,040 Speaker 7: like they're undercounting hate crimes. Wisconsin has a good law, 284 00:18:43,320 --> 00:18:45,520 Speaker 7: it could broaden it a bit. We have to look 285 00:18:45,560 --> 00:18:50,400 Speaker 7: at model policies and outreach to immigrant communities in their 286 00:18:50,400 --> 00:18:54,840 Speaker 7: own language and including liaisons, because some people from these 287 00:18:54,880 --> 00:18:59,399 Speaker 7: affective communities may not feel comfortable dealing directly with law 288 00:18:59,480 --> 00:19:03,960 Speaker 7: enforcement unless there's an intermediary and unless it's in their language. 289 00:19:04,560 --> 00:19:07,040 Speaker 1: In the case that we're looking at, the district attorney 290 00:19:07,119 --> 00:19:11,080 Speaker 1: is actually prosecuting this particular incident as a hate crime 291 00:19:11,520 --> 00:19:16,080 Speaker 1: and is using a hate crime enhancer that would add 292 00:19:16,160 --> 00:19:21,000 Speaker 1: an extra penalty if there's a conviction. Does this usually happen? 293 00:19:21,840 --> 00:19:25,480 Speaker 7: Hate crimes are exceedingly difficult to prosecute for several reasons. 294 00:19:25,640 --> 00:19:32,080 Speaker 7: Number One, victims are often traumatized and sometimes unavailable or scared. 295 00:19:32,160 --> 00:19:35,760 Speaker 7: People might be outed, or might fear deportation or some 296 00:19:35,960 --> 00:19:41,280 Speaker 7: kind of further victimization. They might fear shame from their community. Additionally, 297 00:19:41,520 --> 00:19:46,840 Speaker 7: police oftentimes do not effectively preserve this evidence or even 298 00:19:47,080 --> 00:19:50,240 Speaker 7: label cases as hate crimes. Here in California, where we 299 00:19:50,280 --> 00:19:53,639 Speaker 7: have almost eleven hundred hate crimes a year, when it 300 00:19:53,680 --> 00:19:58,240 Speaker 7: comes to prosecutions, you're talking two hundred or less in 301 00:19:58,320 --> 00:20:01,720 Speaker 7: any given year. With regard to the hate crime statutes 302 00:20:01,920 --> 00:20:08,400 Speaker 7: Wisconsins requires a showing that the victim was intentionally selected 303 00:20:08,960 --> 00:20:14,160 Speaker 7: because of their group status such as ethnicity, and that 304 00:20:14,600 --> 00:20:18,520 Speaker 7: particular element has to be proven beyond a reasonable doubt, 305 00:20:18,880 --> 00:20:23,320 Speaker 7: and that's oftentimes very difficult to establish. Voice of America 306 00:20:23,480 --> 00:20:27,000 Speaker 7: found that over the last three years or so, there's 307 00:20:27,040 --> 00:20:30,600 Speaker 7: been a decline in federal hate crime prosecutions of about 308 00:20:30,600 --> 00:20:31,640 Speaker 7: thirty eight percent. 309 00:20:32,280 --> 00:20:35,280 Speaker 1: So I'm wondering why is it that if there is 310 00:20:35,520 --> 00:20:39,040 Speaker 1: a general increase in the numbers of hate crimes, and 311 00:20:39,119 --> 00:20:42,840 Speaker 1: certainly against Latinos, why do you think that we hear 312 00:20:42,920 --> 00:20:48,040 Speaker 1: about some of these moments and not others. What differentiates this? 313 00:20:48,640 --> 00:20:52,200 Speaker 7: I think when captured on video, these types of incidents 314 00:20:52,440 --> 00:20:57,200 Speaker 7: have a particular viral shock value that perhaps the spoken 315 00:20:57,320 --> 00:21:01,440 Speaker 7: word does not have. But the line is, I think 316 00:21:01,600 --> 00:21:03,919 Speaker 7: one of the things you're going to see more of 317 00:21:04,480 --> 00:21:10,080 Speaker 7: are not only increased efficiencies with regard to the recordation 318 00:21:10,240 --> 00:21:14,920 Speaker 7: of crimes, but also of incidents which may not rise 319 00:21:14,960 --> 00:21:18,560 Speaker 7: to the level of crimes but still might affect communities, 320 00:21:18,760 --> 00:21:21,520 Speaker 7: and it would be good to record this data. I 321 00:21:21,560 --> 00:21:24,639 Speaker 7: would guess that perhaps had this not been such a 322 00:21:24,640 --> 00:21:28,200 Speaker 7: horrific attack, but maybe something more minor, that we would 323 00:21:28,240 --> 00:21:39,760 Speaker 7: never have heard of it at all. 324 00:21:39,840 --> 00:21:43,520 Speaker 1: It's hard to know exactly how many hate crimes go unreported, 325 00:21:44,000 --> 00:21:47,600 Speaker 1: but a National Crime Victimization survey estimates that there are 326 00:21:47,640 --> 00:21:51,000 Speaker 1: almost two hundred and fifty thousand hate crimes a year, 327 00:21:51,920 --> 00:21:55,719 Speaker 1: but that more than half of those crimes go unreported 328 00:21:55,760 --> 00:22:10,200 Speaker 1: to police. For Maud, coming forward wasn't the hard part. 329 00:22:10,680 --> 00:22:13,960 Speaker 1: What did it feel like to be called illegal straight 330 00:22:14,040 --> 00:22:14,720 Speaker 1: up to your face? 331 00:22:16,840 --> 00:22:20,320 Speaker 3: He has no right to call me that. 332 00:22:21,240 --> 00:22:32,240 Speaker 8: It feels discriminatio, feels offensilo offensive, it feels rajasao rejection. 333 00:22:33,000 --> 00:22:33,960 Speaker 3: That's how it feels. 334 00:22:34,840 --> 00:22:37,680 Speaker 1: And after this incident, what he most wants his kids 335 00:22:37,720 --> 00:22:40,240 Speaker 1: to take away from this is how to learn to 336 00:22:40,400 --> 00:22:43,119 Speaker 1: not engage with people like the man who harassed. 337 00:22:42,800 --> 00:22:45,680 Speaker 3: Him, Alexi Paramius. 338 00:22:52,760 --> 00:22:56,560 Speaker 1: He says, why listen to them? Why listen to something 339 00:22:56,600 --> 00:22:57,840 Speaker 1: that angers. 340 00:22:57,400 --> 00:23:02,600 Speaker 3: You and Africa. Yeah, but at. 341 00:23:02,440 --> 00:23:06,480 Speaker 1: The same time it's very difficult. He says, to just 342 00:23:06,600 --> 00:23:16,800 Speaker 1: stay quiet and not speak up and defend yourself. And 343 00:23:16,840 --> 00:23:19,560 Speaker 1: then Mawood tells me that he has plans to add 344 00:23:19,600 --> 00:23:21,680 Speaker 1: some flags to his welding hat. 345 00:23:22,200 --> 00:23:23,000 Speaker 3: I'm a welder. 346 00:23:23,240 --> 00:23:25,400 Speaker 4: I want to give my hat American flat and per 347 00:23:25,960 --> 00:23:26,760 Speaker 4: I want to make it out. 348 00:23:27,000 --> 00:23:28,840 Speaker 1: Oh you're welder your welder. 349 00:23:28,560 --> 00:23:32,119 Speaker 4: Hat right, Yeah, I'm prof to be Perua. I'm not 350 00:23:32,119 --> 00:23:32,919 Speaker 4: prough to be American. 351 00:23:48,440 --> 00:23:51,760 Speaker 1: This episode was produced by Angelina Mojer Sarasad with help 352 00:23:51,800 --> 00:23:56,240 Speaker 1: from Joandaluna, and edited by Sophia Parisakha. The Latino USA 353 00:23:56,280 --> 00:24:01,200 Speaker 1: team includes Niel Massias, Luis Trees, Antonio sere Janis, Jamoca, 354 00:24:01,359 --> 00:24:05,960 Speaker 1: Alisa Scarce, and Alejandra Salasa. Our engineers are Stephanie Lebou 355 00:24:06,080 --> 00:24:09,320 Speaker 1: and Julia Caruso. Additional engineering this week by Lia Shaw. 356 00:24:09,680 --> 00:24:13,320 Speaker 1: Our production manager is Natalia Fidelholz. Our digital editor is 357 00:24:13,359 --> 00:24:17,520 Speaker 1: Amandel Cantra. Our interns are Julia Nesesparsa and Julia Rocha. 358 00:24:17,800 --> 00:24:20,879 Speaker 1: Our theme music was composed by Zenia Rubinos. If you 359 00:24:21,000 --> 00:24:22,879 Speaker 1: like the music you heard on this episode, stop by 360 00:24:22,960 --> 00:24:26,160 Speaker 1: Latinousa dot org and check out our weekly Spotify playlist. 361 00:24:26,480 --> 00:24:29,480 Speaker 1: I'm your host and executive producer Marienno Josa. Join us 362 00:24:29,480 --> 00:24:32,000 Speaker 1: again on our next episode, and in the meantime, look 363 00:24:32,040 --> 00:24:34,719 Speaker 1: for us on all of your social media. Asta Approxima 364 00:24:34,920 --> 00:24:35,200 Speaker 1: c Chao. 365 00:24:36,720 --> 00:24:40,760 Speaker 4: Latino USA is made possible in part by the Annie 366 00:24:41,119 --> 00:24:44,840 Speaker 4: Casey Foundation. Creates a brighter future for the nation's children 367 00:24:45,119 --> 00:24:50,200 Speaker 4: by strengthening families, building greater economic opportunity, and transforming communities. 368 00:24:50,960 --> 00:24:54,680 Speaker 4: California Endowment building a strong state by improving the health 369 00:24:54,760 --> 00:24:59,720 Speaker 4: of all Californians, and funding for Latino USA is Coverage 370 00:25:00,000 --> 00:25:02,520 Speaker 4: of a culture of health is made possible in part 371 00:25:02,600 --> 00:25:05,080 Speaker 4: by a grant from the Robert Wood Johnson Foundation.