1 00:00:02,400 --> 00:00:08,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,240 --> 00:00:09,800 Speaker 2: As we seize upon the voice of San Francisco, not 3 00:00:09,840 --> 00:00:12,440 Speaker 2: just Nancy Pelosi, but the Mayor of San Francisco. London 4 00:00:12,480 --> 00:00:14,960 Speaker 2: Breed is in Chicago, part of this convention and with 5 00:00:15,040 --> 00:00:16,759 Speaker 2: us right now at the table. Mayor, it's great to 6 00:00:16,760 --> 00:00:17,720 Speaker 2: see you. Thanks for joining. 7 00:00:17,840 --> 00:00:18,560 Speaker 1: Thank you. 8 00:00:18,560 --> 00:00:20,800 Speaker 2: You have known Kamala Harris for a long time. You've 9 00:00:20,840 --> 00:00:24,639 Speaker 2: been friends for twenty years outside of politics. You know 10 00:00:24,960 --> 00:00:28,120 Speaker 2: this candidate, this nominee better than most people who we're 11 00:00:28,120 --> 00:00:30,560 Speaker 2: going to talk with this week. And I understand that 12 00:00:30,600 --> 00:00:32,880 Speaker 2: she's had wonderful advice for you over the years. I 13 00:00:32,960 --> 00:00:35,640 Speaker 2: wonder what your advice is for her at this convention 14 00:00:35,720 --> 00:00:36,440 Speaker 2: on Thursday night. 15 00:00:36,640 --> 00:00:40,480 Speaker 3: Wow, me give Kamala Harris advice. I'm not used to that. 16 00:00:40,400 --> 00:00:41,720 Speaker 2: One only a friend could. 17 00:00:41,840 --> 00:00:42,080 Speaker 1: Yeah. 18 00:00:42,120 --> 00:00:45,199 Speaker 3: But the one thing I would say, when she is 19 00:00:45,320 --> 00:00:48,960 Speaker 3: herself and giving it her all and speaking from the heart, 20 00:00:49,040 --> 00:00:52,080 Speaker 3: there is nothing like it. She is strong, she is firm, 21 00:00:52,440 --> 00:00:54,720 Speaker 3: she has committed to doing this work. But also she's 22 00:00:54,760 --> 00:00:58,560 Speaker 3: a very compassionate person who deeply cares about justice and 23 00:00:58,760 --> 00:01:01,360 Speaker 3: taking care of people. And she's proven that time and 24 00:01:01,360 --> 00:01:02,760 Speaker 3: time again with the work that she's done. 25 00:01:02,760 --> 00:01:03,560 Speaker 1: Over the years. 26 00:01:03,840 --> 00:01:07,200 Speaker 4: Well, certainly she's leaned into her past experience as a prosecutor. 27 00:01:07,640 --> 00:01:10,039 Speaker 4: Of course, she was the DA of San Francisco before 28 00:01:10,040 --> 00:01:13,240 Speaker 4: she became Attorney General of the state of California. And 29 00:01:13,400 --> 00:01:16,160 Speaker 4: we've heard different iterations on the stage last night of 30 00:01:16,160 --> 00:01:19,679 Speaker 4: this election, being something of a prosecutor up against a felon. 31 00:01:19,760 --> 00:01:22,200 Speaker 4: How hard do you expect her to lean into that image, 32 00:01:22,200 --> 00:01:26,880 Speaker 4: knowing that for some segments of the Democratic Coalition especially, 33 00:01:26,880 --> 00:01:28,520 Speaker 4: it may actually be a bit problematic. 34 00:01:28,840 --> 00:01:31,680 Speaker 3: Well, I think it's important for her to talk about 35 00:01:31,760 --> 00:01:34,400 Speaker 3: the work that she did. So not only did she 36 00:01:34,480 --> 00:01:37,080 Speaker 3: prosecute people in San Francisco when we were dealing with 37 00:01:37,120 --> 00:01:40,080 Speaker 3: the height of gun violence. I mean, she prosecuted people 38 00:01:40,440 --> 00:01:44,000 Speaker 3: who committed murder. And it's important to make it clear 39 00:01:44,040 --> 00:01:47,720 Speaker 3: that she was basically not holding any bars and doing 40 00:01:47,760 --> 00:01:50,600 Speaker 3: that work. But at the same time, people who were 41 00:01:50,680 --> 00:01:53,600 Speaker 3: in jail for small offenses. Her back on Track program 42 00:01:53,640 --> 00:01:56,520 Speaker 3: provided a second chance at life as long as people 43 00:01:56,600 --> 00:01:58,400 Speaker 3: were willing to put in the work to get through 44 00:01:58,440 --> 00:02:01,400 Speaker 3: the program. So I think that you could support both. 45 00:02:01,920 --> 00:02:03,560 Speaker 3: She wrote a book about it. She said, it's not 46 00:02:03,600 --> 00:02:06,920 Speaker 3: about being tough on crime, it's not about being soft 47 00:02:07,000 --> 00:02:09,720 Speaker 3: on crime, but it's about being smart on crime and 48 00:02:09,800 --> 00:02:12,800 Speaker 3: making sure that there's fairness, there's justice, and there's balance. 49 00:02:13,120 --> 00:02:14,840 Speaker 2: Well, to stick with that theme for a moment, you 50 00:02:14,880 --> 00:02:17,240 Speaker 2: have something in common with this city of Chicago, and 51 00:02:17,280 --> 00:02:20,520 Speaker 2: that you are held up San Francisco Chicago by Republicans 52 00:02:20,520 --> 00:02:23,520 Speaker 2: on a regular basis as an example of what is 53 00:02:23,560 --> 00:02:26,640 Speaker 2: wrong with progressive politics when it comes to crime. I 54 00:02:26,680 --> 00:02:28,800 Speaker 2: know that you've tried to make strides in San Francisco, 55 00:02:28,880 --> 00:02:31,680 Speaker 2: and how do you message that, Yes, what you're hearing 56 00:02:31,720 --> 00:02:32,800 Speaker 2: so much from the other. 57 00:02:32,639 --> 00:02:35,120 Speaker 3: Side, Well, we have made strides, and in fact, San 58 00:02:35,120 --> 00:02:38,280 Speaker 3: Francisco has one of the lowest crime rates of any 59 00:02:38,320 --> 00:02:40,960 Speaker 3: major city in the country. This is the lowest crime 60 00:02:41,040 --> 00:02:43,520 Speaker 3: rate we've had in over a decade, and not to mention, 61 00:02:43,880 --> 00:02:45,760 Speaker 3: we are on track to have even one of the 62 00:02:45,760 --> 00:02:49,320 Speaker 3: most the lowest homicide rates we've had in the history 63 00:02:49,400 --> 00:02:51,959 Speaker 3: of our city. So when you FactCheck and you look 64 00:02:52,000 --> 00:02:54,239 Speaker 3: at the data and look at actually what's happening in 65 00:02:54,280 --> 00:02:57,400 Speaker 3: San Francisco, people will be surprised. When I talk to 66 00:02:57,480 --> 00:03:00,200 Speaker 3: other mayors, they're like, I wish I had those kind 67 00:03:00,240 --> 00:03:04,040 Speaker 3: of small, big city problems, and the data doesn't lie. 68 00:03:04,040 --> 00:03:06,160 Speaker 3: And I think If people look deep into what is 69 00:03:06,240 --> 00:03:08,680 Speaker 3: going on in San Francisco, they'll see that it is 70 00:03:08,760 --> 00:03:10,440 Speaker 3: one of the safest cities in the country. 71 00:03:10,720 --> 00:03:12,960 Speaker 4: Of course, it's not just about crime, though, it's about 72 00:03:12,960 --> 00:03:15,640 Speaker 4: the wier issue of homelessness. To you yourself have called 73 00:03:15,680 --> 00:03:17,560 Speaker 4: for tough love when it comes to the notion of 74 00:03:17,560 --> 00:03:20,959 Speaker 4: clearing out tent encampments, for example, is that tough love 75 00:03:21,600 --> 00:03:23,520 Speaker 4: working without progress. 76 00:03:23,120 --> 00:03:25,120 Speaker 1: On that front. Yeah, it's been challenging. 77 00:03:25,200 --> 00:03:28,040 Speaker 3: But since I've been in office, we've helped over fifteen 78 00:03:28,080 --> 00:03:31,240 Speaker 3: thousand people exit homelessness. We've never even had a point 79 00:03:31,240 --> 00:03:34,800 Speaker 3: in time account with more than like eight thousand or 80 00:03:34,840 --> 00:03:36,560 Speaker 3: so people, So it's been. 81 00:03:36,440 --> 00:03:38,080 Speaker 1: Really a tough struggle. 82 00:03:38,200 --> 00:03:40,880 Speaker 3: But we also have to make sure when people are 83 00:03:40,920 --> 00:03:44,080 Speaker 3: rejecting what we're offering in terms of services, we are 84 00:03:44,120 --> 00:03:46,640 Speaker 3: now no longer just leaving them out on the streets, 85 00:03:46,640 --> 00:03:48,000 Speaker 3: and we're being a lot more aggressive. 86 00:03:48,240 --> 00:03:49,040 Speaker 1: To a certain extent. 87 00:03:49,080 --> 00:03:51,800 Speaker 3: It's working because more people are accepting help, but there 88 00:03:51,800 --> 00:03:55,680 Speaker 3: are still a really tough group of people, mostly tragically 89 00:03:55,760 --> 00:03:59,080 Speaker 3: because of drug use. That's having an impact. We're still 90 00:03:59,120 --> 00:04:02,360 Speaker 3: struggling with that, but we're still making progress. The streets 91 00:04:02,360 --> 00:04:05,440 Speaker 3: look better, it looks cleaner, we have one neighborhood that 92 00:04:05,480 --> 00:04:08,600 Speaker 3: continues to experience more challenges than others. But when you 93 00:04:08,680 --> 00:04:11,760 Speaker 3: come to San Francisco and you drive around our city 94 00:04:11,760 --> 00:04:12,800 Speaker 3: and you look around. 95 00:04:12,560 --> 00:04:15,720 Speaker 1: Our city, people are always like, what is everyone talking about? 96 00:04:16,000 --> 00:04:17,960 Speaker 3: So you've got to come see it for yourself and 97 00:04:18,000 --> 00:04:20,279 Speaker 3: then check the facts in terms of the data as 98 00:04:20,279 --> 00:04:22,480 Speaker 3: to what really is happening in San Francisco. 99 00:04:22,680 --> 00:04:24,000 Speaker 2: Well, if we can hold on to the issue of 100 00:04:24,040 --> 00:04:26,440 Speaker 2: housing more broadly here, this is a big deal for 101 00:04:26,480 --> 00:04:28,440 Speaker 2: this campaign and for this economy right now. And I 102 00:04:28,440 --> 00:04:30,400 Speaker 2: know for a fact that that's not new for you. 103 00:04:30,400 --> 00:04:33,040 Speaker 2: You've actually made this a major issue for you as 104 00:04:33,040 --> 00:04:37,200 Speaker 2: a city official, as a commissioner, as mayor taking different ideas, 105 00:04:37,240 --> 00:04:40,279 Speaker 2: experimental ideas to see what can be done to create 106 00:04:40,400 --> 00:04:42,400 Speaker 2: more housing. I know that there's an effort to get 107 00:04:42,440 --> 00:04:45,200 Speaker 2: people to a point where they can afford a first 108 00:04:45,200 --> 00:04:47,520 Speaker 2: time home, but you need something to move into. You've 109 00:04:47,560 --> 00:04:49,760 Speaker 2: suggested a lot of different ideas and tried them out, 110 00:04:49,760 --> 00:04:55,440 Speaker 2: like converting empty public housing, for instance, city housing, city buildings. Rather, 111 00:04:55,520 --> 00:04:58,560 Speaker 2: what advice do you have for the campaign that could 112 00:04:58,560 --> 00:05:01,960 Speaker 2: be a national model create more housing in this country. 113 00:05:02,000 --> 00:05:05,840 Speaker 3: Well, Kambala Harris said it on the stage to say, 114 00:05:05,880 --> 00:05:08,719 Speaker 3: getting rid of the red tape that makes it difficult 115 00:05:08,760 --> 00:05:09,560 Speaker 3: to produce housing. 116 00:05:09,560 --> 00:05:11,679 Speaker 1: And fortunately in California. 117 00:05:11,440 --> 00:05:14,640 Speaker 3: That just happened with a bill that was passed by 118 00:05:14,640 --> 00:05:19,520 Speaker 3: the state legislature led by Senator Scott Wiener from San Francisco, 119 00:05:19,960 --> 00:05:23,440 Speaker 3: and that bill will allow housing to be as of 120 00:05:23,520 --> 00:05:26,480 Speaker 3: right if the zoning already allows. 121 00:05:26,120 --> 00:05:29,480 Speaker 1: For you to do for six eight stories. 122 00:05:29,320 --> 00:05:33,200 Speaker 3: Why is there so many obstacles that are able to 123 00:05:33,240 --> 00:05:35,599 Speaker 3: get in the way, And now that won't happen as 124 00:05:35,680 --> 00:05:37,600 Speaker 3: long as you're following what the existing. 125 00:05:37,279 --> 00:05:39,880 Speaker 2: Laws requirements for us. Yes, yes, San. 126 00:05:39,800 --> 00:05:42,800 Speaker 3: Francisco, definitely we could have those or not have those. 127 00:05:42,880 --> 00:05:45,360 Speaker 3: We were making our city more of a transit first 128 00:05:45,360 --> 00:05:48,960 Speaker 3: city as well as protected bike lanes allowing different modes 129 00:05:48,960 --> 00:05:52,440 Speaker 3: of transportations to thrive in our city. So it's all 130 00:05:52,480 --> 00:05:55,520 Speaker 3: of the above, and bureaucratic red tape is at the 131 00:05:55,560 --> 00:05:57,800 Speaker 3: heart of the challenges that exist. And I love the 132 00:05:57,839 --> 00:06:01,280 Speaker 3: fact that our vice president soon to be president, put 133 00:06:01,320 --> 00:06:03,880 Speaker 3: that at the forefront of the conversation in California is 134 00:06:03,880 --> 00:06:04,920 Speaker 3: already leading the way. 135 00:06:05,240 --> 00:06:07,640 Speaker 4: Well, certainly she has to at the forefront of the conversation. 136 00:06:07,720 --> 00:06:09,800 Speaker 4: Have these notions of the economy, knowing it ranks so 137 00:06:09,960 --> 00:06:12,960 Speaker 4: highly consistently in polls is the top issue for voters. 138 00:06:12,960 --> 00:06:15,880 Speaker 4: Another issue that ranks highly, though, is the border in migration. 139 00:06:16,080 --> 00:06:19,320 Speaker 4: You hear frequently in the Republican camp that every state, 140 00:06:19,360 --> 00:06:22,760 Speaker 4: every city is now effectively a border city. How do 141 00:06:22,839 --> 00:06:24,640 Speaker 4: you view that issue when it comes not just to 142 00:06:24,680 --> 00:06:27,160 Speaker 4: the city of San Francisco, but the state of California 143 00:06:27,320 --> 00:06:29,600 Speaker 4: as a whole. And what the appropriate if we're going 144 00:06:29,640 --> 00:06:32,200 Speaker 4: with a tough love kind of message here way is 145 00:06:32,240 --> 00:06:34,200 Speaker 4: to deal with migration in the border. 146 00:06:34,240 --> 00:06:38,080 Speaker 3: Well, it's important for them to implement the plan that 147 00:06:38,120 --> 00:06:42,280 Speaker 3: they're talking about to make sure that there's a significant 148 00:06:42,360 --> 00:06:44,840 Speaker 3: level of accountability. But I also want to be very 149 00:06:44,839 --> 00:06:47,479 Speaker 3: clear because it's not just one thing. It's not just 150 00:06:47,520 --> 00:06:51,479 Speaker 3: about people. It's also about substances. And in fact, the 151 00:06:51,600 --> 00:06:54,839 Speaker 3: National Guard, the Drug Enforcement Agency, the US Attorney's Office 152 00:06:54,839 --> 00:06:59,080 Speaker 3: who's working with us locally and including our state representatives, 153 00:06:59,080 --> 00:07:02,640 Speaker 3: the California Highway Patrol, the National Guard, they are all 154 00:07:02,680 --> 00:07:08,040 Speaker 3: collaborating on using technology in a way that is making. 155 00:07:07,839 --> 00:07:10,600 Speaker 1: Arrest at the border for the illegal. 156 00:07:10,160 --> 00:07:14,200 Speaker 3: Fentanyl that continues to come into cities like San Francisco, 157 00:07:14,640 --> 00:07:18,600 Speaker 3: and so that aggressive effort using technology can help us 158 00:07:18,640 --> 00:07:21,800 Speaker 3: address those issues in addition to the challenges with people 159 00:07:21,840 --> 00:07:25,720 Speaker 3: who are coming over the border. I believe that Kamala 160 00:07:25,800 --> 00:07:29,600 Speaker 3: Harris is the right person to implement a really tough strategy, 161 00:07:29,640 --> 00:07:33,600 Speaker 3: but also a compassionate and understanding one, especially because it 162 00:07:33,640 --> 00:07:36,920 Speaker 3: is so complicated in that we are a city, we 163 00:07:37,000 --> 00:07:40,000 Speaker 3: are a country built on immigrants, and so we have 164 00:07:40,040 --> 00:07:42,240 Speaker 3: to make sure that we're balancing that as well. 165 00:07:42,360 --> 00:07:44,200 Speaker 4: You say that she's the right person, and yet, and 166 00:07:44,280 --> 00:07:46,720 Speaker 4: I'm sure you've heard this frequently in the last several weeks, 167 00:07:46,800 --> 00:07:49,920 Speaker 4: Republicans argue she was put in charge of the border issue. 168 00:07:50,080 --> 00:07:52,640 Speaker 4: Maybe not given the actual borders our title, but this 169 00:07:52,720 --> 00:07:54,680 Speaker 4: was an issue she was supposed to own as vice president. 170 00:07:54,680 --> 00:07:56,560 Speaker 4: She has been vice president for over three and a 171 00:07:56,600 --> 00:07:59,520 Speaker 4: half years. If she couldn't get control of it, then 172 00:08:00,160 --> 00:08:01,960 Speaker 4: how are we supposed to believe she could get control 173 00:08:01,960 --> 00:08:04,160 Speaker 4: of it when she's actually sitting in the Oval office herself. 174 00:08:04,160 --> 00:08:05,000 Speaker 1: Well, here's the thing. 175 00:08:05,200 --> 00:08:08,000 Speaker 3: Control means different things, And I go back to my 176 00:08:08,160 --> 00:08:11,680 Speaker 3: experience of the control around illegal stuff. Senses that are 177 00:08:11,680 --> 00:08:14,640 Speaker 3: making it across the border, the number of arrests, the 178 00:08:14,760 --> 00:08:18,160 Speaker 3: number of drugs that have been confiscated as a result 179 00:08:18,320 --> 00:08:20,720 Speaker 3: of the efforts of the White House of the Federal 180 00:08:20,760 --> 00:08:25,400 Speaker 3: partners that I mentioned earlier has yielded significant results, and 181 00:08:25,480 --> 00:08:28,640 Speaker 3: I believe that that component of what they're doing even 182 00:08:28,800 --> 00:08:31,640 Speaker 3: now has been impactful and will continue to be more 183 00:08:31,680 --> 00:08:34,719 Speaker 3: impactful in terms of some of the other challenges they 184 00:08:34,720 --> 00:08:37,880 Speaker 3: have to continue to make sure that there's you know, 185 00:08:37,960 --> 00:08:38,400 Speaker 3: a push. 186 00:08:38,480 --> 00:08:39,839 Speaker 1: I mean, everyone's talking. 187 00:08:39,559 --> 00:08:41,400 Speaker 3: About a wall of this and a wall that a 188 00:08:41,480 --> 00:08:44,920 Speaker 3: wall is not going to you know, continuously keep people out. 189 00:08:44,960 --> 00:08:47,800 Speaker 3: The goal is to try and get a better control 190 00:08:47,920 --> 00:08:51,559 Speaker 3: over the border and making sure that we're implementing the 191 00:08:51,640 --> 00:08:54,520 Speaker 3: right policies and being fair and equitable in our strategies, 192 00:08:54,760 --> 00:08:58,240 Speaker 3: and developing better relationships with the countries, you know, in 193 00:08:58,320 --> 00:09:02,479 Speaker 3: order to help support them so that we don't experience 194 00:09:02,640 --> 00:09:05,679 Speaker 3: this challenge of everyone trying to you know, flee from 195 00:09:05,720 --> 00:09:08,520 Speaker 3: a particular location to get into the United States. 196 00:09:08,800 --> 00:09:10,160 Speaker 1: That's a big part of it as well. 197 00:09:10,400 --> 00:09:16,000 Speaker 2: Well. What happened to California's workforce and economy if Donald 198 00:09:16,040 --> 00:09:18,640 Speaker 2: Trump did become the next president and shut down the border, 199 00:09:18,760 --> 00:09:23,120 Speaker 2: as he says, if you had no immigration in the workforce, 200 00:09:24,240 --> 00:09:26,559 Speaker 2: could your economy sustain itself well? 201 00:09:26,679 --> 00:09:28,560 Speaker 1: That's I don't believe so. 202 00:09:28,840 --> 00:09:32,240 Speaker 3: I think it's immigration is an important part of, you know, 203 00:09:32,280 --> 00:09:35,079 Speaker 3: how our society works, and we need to make sure 204 00:09:35,120 --> 00:09:37,440 Speaker 3: that we're balancing that with the. 205 00:09:37,320 --> 00:09:39,720 Speaker 1: Needs of the people that we're here to serve. 206 00:09:40,160 --> 00:09:45,080 Speaker 3: And ultimately, we're seeing some incredible opportunities within the job 207 00:09:45,120 --> 00:09:48,440 Speaker 3: markets all over the state of California, and our goal 208 00:09:48,520 --> 00:09:50,920 Speaker 3: is to do everything we can to balance that. But 209 00:09:51,760 --> 00:09:56,520 Speaker 3: going back to some of the illegal activities around the drugs, 210 00:09:56,559 --> 00:09:58,920 Speaker 3: that is the thing that is harming our economy the most, 211 00:09:58,960 --> 00:10:01,240 Speaker 3: and that is the thing that is important to focus 212 00:10:01,280 --> 00:10:03,640 Speaker 3: on as we continue to move in this direction. 213 00:10:04,000 --> 00:10:06,360 Speaker 4: Well, if you listen to Donald Trump, he has said 214 00:10:06,440 --> 00:10:09,600 Speaker 4: repeatedly that he actually thinks the economic problem with migration, 215 00:10:10,120 --> 00:10:12,400 Speaker 4: in part is that migrants are coming to this country 216 00:10:12,640 --> 00:10:14,280 Speaker 4: and they're taking black jobs. 217 00:10:14,480 --> 00:10:15,280 Speaker 1: He said this on. 218 00:10:15,240 --> 00:10:18,680 Speaker 4: Multiple occasions, and it was certainly noted by the former 219 00:10:18,720 --> 00:10:20,400 Speaker 4: First Lady Michelle Obama last night. 220 00:10:21,800 --> 00:10:24,559 Speaker 3: Who's gonna tell him that the job he's currently seeking 221 00:10:24,640 --> 00:10:30,600 Speaker 3: might just be one of those black jobs? 222 00:10:32,920 --> 00:10:34,839 Speaker 4: One of those moments I think we've all seen on 223 00:10:34,880 --> 00:10:39,080 Speaker 4: social media a lot in the last twelve hours, certainly, 224 00:10:39,120 --> 00:10:41,560 Speaker 4: but she of course was on that stage speaking as 225 00:10:42,240 --> 00:10:45,040 Speaker 4: a black woman, and a powerful one at that, someone 226 00:10:45,120 --> 00:10:47,240 Speaker 4: who was the first Lady of the United States speaking 227 00:10:47,240 --> 00:10:50,280 Speaker 4: on behalf of another woman of color who is now 228 00:10:50,520 --> 00:10:54,079 Speaker 4: the Democratic nominee and will be formally accepting it on Thursday. 229 00:10:54,120 --> 00:10:56,040 Speaker 4: You yourself are a woman of color as well, And 230 00:10:56,080 --> 00:10:59,360 Speaker 4: I wonder, as we consider the historic nature of this cannady, 231 00:10:59,520 --> 00:11:02,600 Speaker 4: how the appropriate way to talk about that is, especially 232 00:11:02,600 --> 00:11:05,800 Speaker 4: in the face of language like we're hearing from Donald Trump. 233 00:11:05,880 --> 00:11:07,679 Speaker 4: Do you address it head on or do you ignore it? 234 00:11:08,000 --> 00:11:10,040 Speaker 3: Well, I think you address it head on, and I 235 00:11:10,040 --> 00:11:13,360 Speaker 3: think it has been addressed. For example, implying somehow that 236 00:11:13,440 --> 00:11:14,600 Speaker 3: Kamala Harris is. 237 00:11:14,559 --> 00:11:18,199 Speaker 1: A DEI candidate and he. 238 00:11:18,960 --> 00:11:22,920 Speaker 3: I mean, it's unbelievable when you look at her qualifications 239 00:11:23,320 --> 00:11:27,120 Speaker 3: of her, just look at her resume in comparison to his, 240 00:11:27,520 --> 00:11:28,839 Speaker 3: There is no comparison. 241 00:11:28,840 --> 00:11:32,079 Speaker 1: He wasn't born into privilege. She worked really hard to. 242 00:11:32,040 --> 00:11:35,240 Speaker 3: Get a law degree on her own, to really fight 243 00:11:35,320 --> 00:11:37,920 Speaker 3: for a number of positions that she ran for, and 244 00:11:38,000 --> 00:11:40,360 Speaker 3: to push for the kinds of policies that have helped 245 00:11:40,480 --> 00:11:45,199 Speaker 3: to support Americans and the rights of women, LGBTQ community, and. 246 00:11:45,160 --> 00:11:46,040 Speaker 1: So on and so forth. 247 00:11:46,080 --> 00:11:48,560 Speaker 3: I can go on and on but you know, that's 248 00:11:48,559 --> 00:11:51,360 Speaker 3: one of the challenges that sometimes, you know, women and 249 00:11:51,400 --> 00:11:55,080 Speaker 3: women of color have, is well, how did you get there? 250 00:11:55,440 --> 00:11:57,960 Speaker 3: It must have been someone else, And you know, to 251 00:11:58,000 --> 00:12:00,760 Speaker 3: be very clear, you know, when the main goes through 252 00:12:00,800 --> 00:12:04,000 Speaker 3: the same process, that doesn't get questioned. And I think 253 00:12:04,040 --> 00:12:06,680 Speaker 3: that's kind of the frustrating part of this, which is 254 00:12:06,720 --> 00:12:09,000 Speaker 3: why I love being a part of the Democratic Party 255 00:12:09,080 --> 00:12:12,320 Speaker 3: because you see people who are elevating women. You see 256 00:12:12,640 --> 00:12:15,760 Speaker 3: many men who spoke last night at the DNC, you know, 257 00:12:15,920 --> 00:12:20,360 Speaker 3: highlighting Kamala Harris in such an extraordinary way, and I'm 258 00:12:20,400 --> 00:12:23,880 Speaker 3: really proud, and it's no comparison. I think it's important 259 00:12:23,920 --> 00:12:27,160 Speaker 3: for us to remind the American people not just of 260 00:12:27,200 --> 00:12:31,200 Speaker 3: her qualifications, but why is this a race in the 261 00:12:31,240 --> 00:12:31,839 Speaker 3: first place? 262 00:12:31,880 --> 00:12:34,800 Speaker 1: In light of what Donald Trump has done. 263 00:12:34,960 --> 00:12:40,040 Speaker 3: To really, you know, create a huge barrier in this 264 00:12:40,120 --> 00:12:44,840 Speaker 3: country overall, with his policies, with his pushes, with his lives, 265 00:12:44,920 --> 00:12:48,240 Speaker 3: with his disrespect and his divisiveness, there should not be 266 00:12:48,320 --> 00:12:50,960 Speaker 3: a question. But we are going to continue to elevate 267 00:12:51,000 --> 00:12:53,760 Speaker 3: Kamala Harris and do everything we can to ensure that 268 00:12:53,840 --> 00:12:56,599 Speaker 3: she gets elected the next president of the United States. 269 00:12:56,880 --> 00:12:59,319 Speaker 2: Just lastly, we hear from Donald Trump and Republicans that 270 00:12:59,400 --> 00:13:01,920 Speaker 2: Kamala Harris, you're the mayor of San Francisco, is just 271 00:13:01,960 --> 00:13:04,760 Speaker 2: another San Francisco Liberal. How do you respond to. 272 00:13:04,760 --> 00:13:07,360 Speaker 3: That, Well, I would respond, I mean the Republicans continue 273 00:13:07,400 --> 00:13:09,760 Speaker 3: to point to San Francisco, but at the end of 274 00:13:09,840 --> 00:13:14,120 Speaker 3: the day, oftentimes they are picking up their iPhone, you know, 275 00:13:14,200 --> 00:13:17,959 Speaker 3: which was introduced in San Francisco, calling their ubers or 276 00:13:18,000 --> 00:13:20,720 Speaker 3: Lyft companies started and based in San Francisco, to go 277 00:13:20,800 --> 00:13:24,840 Speaker 3: to their Airbnb company still and started in San Francisco, 278 00:13:25,200 --> 00:13:29,160 Speaker 3: and then to go and tweet something nasty about our city, 279 00:13:29,200 --> 00:13:32,280 Speaker 3: which again was a company until recently in San Francisco 280 00:13:32,600 --> 00:13:37,120 Speaker 3: thirty four billion dollars a venture capitalist investment last year alone. 281 00:13:36,880 --> 00:13:39,800 Speaker 1: The AI capital of the world. That's what I will say. 282 00:13:40,080 --> 00:13:42,400 Speaker 3: You can continue to try and put out a narrative, 283 00:13:42,440 --> 00:13:45,439 Speaker 3: but the facts tell a different story, and we point 284 00:13:45,480 --> 00:13:48,160 Speaker 3: to the facts and the economy and everything that San 285 00:13:48,160 --> 00:13:51,640 Speaker 3: Francisco stands for on the world stage. Everything that everyone 286 00:13:51,720 --> 00:13:54,480 Speaker 3: is using as far as technology, it starts right in 287 00:13:54,600 --> 00:13:55,360 Speaker 3: San Francisco. 288 00:13:55,679 --> 00:13:56,959 Speaker 1: And again we're looking. 289 00:13:56,720 --> 00:13:59,800 Speaker 3: Forward to making sure Kamala Harris gets elected, because then 290 00:13:59,840 --> 00:14:03,679 Speaker 3: San Francisco will be on a whole nother national stage. 291 00:14:03,880 --> 00:14:06,240 Speaker 4: All right, San Francisco, Mayor London Breed. Great to have 292 00:14:06,320 --> 00:14:08,439 Speaker 4: you here with us in Chicago. We'll set you in 293 00:14:08,480 --> 00:14:11,120 Speaker 4: San Francisco sometime. We appreciate your time. Mayor, thank you 294 00:14:11,200 --> 00:14:12,200 Speaker 4: so much for joining us,