1
00:00:00,040 --> 00:00:02,240
Speaker 1: This episode of the Chuck Podcast is brought to you

2
00:00:02,279 --> 00:00:04,800
Speaker 1: by Incognate. You know, one of the things we talk

3
00:00:05,040 --> 00:00:07,880
Speaker 1: a lot about on this podcast is trust, who deserves

4
00:00:07,880 --> 00:00:09,920
Speaker 1: it and who doesn't. And lately I've been thinking about

5
00:00:09,920 --> 00:00:14,200
Speaker 1: how much of our personal information is just floating around online.

6
00:00:14,520 --> 00:00:17,920
Speaker 1: I'm talking about phone numbers, home addresses, emails, even information

7
00:00:17,960 --> 00:00:20,400
Speaker 1: about your family, all sitting on websites you've probably never

8
00:00:20,440 --> 00:00:22,720
Speaker 1: heard of. In the scary part, that information can be

9
00:00:22,840 --> 00:00:26,600
Speaker 1: used by scammers and identity thieves to piece together enough

10
00:00:26,640 --> 00:00:30,800
Speaker 1: details to impersonate you, target you, or worse. That's where

11
00:00:30,840 --> 00:00:34,920
Speaker 1: incognate comes in. Incognate works behind the scenes to track

12
00:00:35,000 --> 00:00:38,080
Speaker 1: down and remove your personal data from hundreds of websites,

13
00:00:38,479 --> 00:00:42,760
Speaker 1: things like online directories, people search sites, and even commercial

14
00:00:42,800 --> 00:00:45,680
Speaker 1: databases that collect and sell your data without your consent.

15
00:00:46,159 --> 00:00:49,520
Speaker 1: The process is automated, and because data can pop back

16
00:00:49,600 --> 00:00:53,320
Speaker 1: up again, incognit keeps monitoring and removing it for you.

17
00:00:53,720 --> 00:00:56,160
Speaker 1: And one feature I really like is custom removals. If

18
00:00:56,160 --> 00:00:59,800
Speaker 1: you find something about yourself online that you want eliminated,

19
00:01:00,160 --> 00:01:02,240
Speaker 1: it's a listing, an old record, or something you just

20
00:01:02,280 --> 00:01:05,840
Speaker 1: don't want publicly available, you can send incognit the link

21
00:01:06,040 --> 00:01:09,280
Speaker 1: and a dedicated privacy expert handles the removal for you.

22
00:01:09,400 --> 00:01:12,039
Speaker 1: It's a great way to reduce your digital footprint and

23
00:01:12,120 --> 00:01:15,880
Speaker 1: protect yourself from scams and identity theft. Right now, you

24
00:01:15,920 --> 00:01:20,560
Speaker 1: can get sixty percent off an annual incognyplan. Just go

25
00:01:20,640 --> 00:01:24,320
Speaker 1: to incognit dot com slash Chuck podcasts and use the

26
00:01:24,319 --> 00:01:27,880
Speaker 1: code Chuck podcast. Use the code you get a discal again,

27
00:01:28,040 --> 00:01:32,280
Speaker 1: that's in cogni dot com slash chucktodcast and use the

28
00:01:32,400 --> 00:01:35,520
Speaker 1: code Chuck podcast to get sixty percent off and start

29
00:01:35,560 --> 00:01:40,520
Speaker 1: taking control of your personal data today. Trust me, I'm

30
00:01:40,560 --> 00:01:44,480
Speaker 1: constantly working on this for years myself, and here's an

31
00:01:44,480 --> 00:01:46,919
Speaker 1: opportunity for you to take matters into your own hands

32
00:01:46,959 --> 00:01:52,920
Speaker 1: as well. All right. As many of you know, I

33
00:01:53,000 --> 00:01:56,520
Speaker 1: have spent a lot of time featuring candidates for California governor.

34
00:01:56,560 --> 00:01:58,680
Speaker 1: I feature candidates for a lot of offices, but I've

35
00:01:58,680 --> 00:02:01,800
Speaker 1: been especially in didn't you know when you have an

36
00:02:01,880 --> 00:02:07,080
Speaker 1: open race for the fourth largest economy in the world.

37
00:02:07,120 --> 00:02:09,799
Speaker 1: Now it's creeping up to number four. Maybe my next

38
00:02:09,800 --> 00:02:12,120
Speaker 1: guest will confirm for me if it's moved from fifth

39
00:02:12,120 --> 00:02:15,240
Speaker 1: to fourth. Now we we have an and there's an

40
00:02:15,280 --> 00:02:18,919
Speaker 1: open contest and there's really no even in the previous years, right,

41
00:02:18,919 --> 00:02:21,919
Speaker 1: you know, Gavin Newsom was sort of it was there

42
00:02:21,960 --> 00:02:24,600
Speaker 1: in waiting. Jerry Brown before that was there in waiting.

43
00:02:24,720 --> 00:02:28,080
Speaker 1: You know, really not since arguably nineteen ninety eight have

44
00:02:28,160 --> 00:02:34,040
Speaker 1: we had an open race for the California governorship that

45
00:02:34,200 --> 00:02:38,360
Speaker 1: looks truly open. And obviously with the with the all

46
00:02:38,400 --> 00:02:41,960
Speaker 1: party primary, it makes everything kind of fascinating. And so

47
00:02:43,919 --> 00:02:46,600
Speaker 1: the candidate that that's coming on today is the mayor

48
00:02:46,639 --> 00:02:50,200
Speaker 1: of San Jose. He's a Democrat, Matt Man. He is

49
00:02:50,240 --> 00:02:54,480
Speaker 1: somebody that I know a lot of a lot of

50
00:02:54,480 --> 00:02:57,880
Speaker 1: folks or see as somebody that that that might be

51
00:02:59,280 --> 00:03:02,119
Speaker 1: that might have the ability to unite the Democratic coalition

52
00:03:02,200 --> 00:03:06,000
Speaker 1: in a way. It's a very fractured primary at the moment,

53
00:03:07,000 --> 00:03:10,040
Speaker 1: a lot of expectations, a lot of interesting supporters that

54
00:03:10,080 --> 00:03:13,080
Speaker 1: he has so wanted to get to know the mayor. Mayor, Mayhon,

55
00:03:13,160 --> 00:03:14,600
Speaker 1: welcome to the podcast.

56
00:03:15,280 --> 00:03:17,120
Speaker 2: Chuk, Thanks so much for having me on. I'm looking

57
00:03:17,160 --> 00:03:18,239
Speaker 2: forward to our conversation.

58
00:03:18,680 --> 00:03:21,880
Speaker 1: Well, let me start with this, So why'd you run

59
00:03:21,880 --> 00:03:24,920
Speaker 1: for mayor when you decided to become mayor of San Jose.

60
00:03:25,000 --> 00:03:28,400
Speaker 1: What got you into politics in general, and what made

61
00:03:28,440 --> 00:03:29,600
Speaker 1: you want to run for mayor of Santase.

62
00:03:31,600 --> 00:03:34,000
Speaker 2: Yeah, you know, Chuck. My interest in politics goes back

63
00:03:34,040 --> 00:03:35,920
Speaker 2: to my childhood. I grew up in a little farming

64
00:03:35,960 --> 00:03:38,840
Speaker 2: town in California called Watsonville for those who don't know it,

65
00:03:38,840 --> 00:03:42,920
Speaker 2: it's where your strawberries come from. And like a lot

66
00:03:42,960 --> 00:03:46,440
Speaker 2: of rural communities, we had we had big challenges, high unemployment,

67
00:03:46,480 --> 00:03:48,520
Speaker 2: a lot of crime. Our local high school had a

68
00:03:48,600 --> 00:03:52,920
Speaker 2: higher dropout rate than graduation rate, and it was a

69
00:03:53,000 --> 00:03:55,960
Speaker 2: work study scholarship on literally on the other side of

70
00:03:56,000 --> 00:03:58,600
Speaker 2: a mountain range in San Jose and the heart of

71
00:03:58,600 --> 00:04:02,520
Speaker 2: Silicon Valley. That gave me a really big opportunity in

72
00:04:02,560 --> 00:04:05,520
Speaker 2: my life to branch out and be able to go

73
00:04:05,520 --> 00:04:08,160
Speaker 2: to a great college. And it really just changed the

74
00:04:08,280 --> 00:04:12,400
Speaker 2: trajectory of my life. And I was always interested in

75
00:04:12,760 --> 00:04:15,720
Speaker 2: the differences between my hometown with all of its challenges,

76
00:04:15,760 --> 00:04:18,040
Speaker 2: in Silicon Valley, with all of its growth and opportunity.

77
00:04:18,040 --> 00:04:20,800
Speaker 2: I started reading the local newspaper, went to a high

78
00:04:20,800 --> 00:04:24,120
Speaker 2: school that was very into service and civic engagement. My

79
00:04:24,240 --> 00:04:26,880
Speaker 2: parents were into civic engagement. My mom was a teacher,

80
00:04:26,960 --> 00:04:30,080
Speaker 2: my dad was a maleman, and just from a young age,

81
00:04:30,120 --> 00:04:33,479
Speaker 2: I came to this belief that politics and government is

82
00:04:33,480 --> 00:04:36,360
Speaker 2: the area where we work out the big questions, solve

83
00:04:36,400 --> 00:04:38,839
Speaker 2: the big problems, and it's kind of the only game

84
00:04:38,880 --> 00:04:41,520
Speaker 2: in town for really tackling the big things that create

85
00:04:41,560 --> 00:04:44,480
Speaker 2: opportunity for people, which is what I'm really interested in.

86
00:04:44,839 --> 00:04:47,080
Speaker 2: So I ended up being a public school teacher for

87
00:04:47,120 --> 00:04:49,560
Speaker 2: a while, worked in tech for a while, but ultimately

88
00:04:49,880 --> 00:04:53,159
Speaker 2: found myself drawn back to the place where I was

89
00:04:53,200 --> 00:04:55,279
Speaker 2: living and raising a family, San Jose, where it just

90
00:04:55,320 --> 00:04:58,320
Speaker 2: felt like we kept asking people to raise their taxes,

91
00:04:58,320 --> 00:05:00,400
Speaker 2: but the outcomes weren't getting any better, and I thought,

92
00:05:00,560 --> 00:05:01,960
Speaker 2: I'm going to jump in and see if I can

93
00:05:01,960 --> 00:05:02,919
Speaker 2: do this a little differently.

94
00:05:04,080 --> 00:05:06,120
Speaker 1: So let's talk about your decision to run for governor.

95
00:05:06,240 --> 00:05:08,400
Speaker 1: You were in some ways. I know a lot of

96
00:05:08,440 --> 00:05:12,200
Speaker 1: people reached out to you, wanted you to run. There's

97
00:05:12,440 --> 00:05:14,680
Speaker 1: a lot of candidates in this race you could have,

98
00:05:15,400 --> 00:05:17,719
Speaker 1: you know. So I'm going to ask this, what about

99
00:05:17,720 --> 00:05:20,680
Speaker 1: the other candidates in the race, particularly in your party

100
00:05:20,680 --> 00:05:23,719
Speaker 1: on the Democratic side, what are they missing that you

101
00:05:23,880 --> 00:05:25,640
Speaker 1: think you bring to this race.

102
00:05:27,560 --> 00:05:30,920
Speaker 2: Yeah, I was watching the race closely, was not planning

103
00:05:31,160 --> 00:05:33,679
Speaker 2: to run, sort of watched it all of last year

104
00:05:33,720 --> 00:05:36,680
Speaker 2: and then early this year realized there was a big

105
00:05:36,800 --> 00:05:42,240
Speaker 2: void in the conversation, particularly in the more moderate problem

106
00:05:42,400 --> 00:05:45,760
Speaker 2: solver Lane to try to bring people together. And it's

107
00:05:45,839 --> 00:05:48,760
Speaker 2: just I guess a few things felt missing. One, I'm

108
00:05:48,760 --> 00:05:52,240
Speaker 2: the only current mayor and executive with both public and

109
00:05:52,279 --> 00:05:55,520
Speaker 2: private sector executive experience in the race. I think we

110
00:05:55,560 --> 00:05:57,960
Speaker 2: are in a moment where the next governor of California

111
00:05:58,000 --> 00:06:00,800
Speaker 2: has to be very execution focused. We don't have a

112
00:06:01,160 --> 00:06:04,880
Speaker 2: revenue problem. We have an execution and accountability problem, which

113
00:06:04,880 --> 00:06:08,560
Speaker 2: I'm sure we'll talk more about. Number Two, I'm worried

114
00:06:08,600 --> 00:06:14,080
Speaker 2: about the partisan divide in this country and rising populism

115
00:06:14,160 --> 00:06:15,839
Speaker 2: on the right and the left, and people sort of

116
00:06:15,880 --> 00:06:18,880
Speaker 2: just giving easy answers, and so in my party on

117
00:06:18,960 --> 00:06:22,480
Speaker 2: the left. Right now in California, at least, it's in

118
00:06:22,600 --> 00:06:25,280
Speaker 2: vogue to say, well, all of our problems in California

119
00:06:25,279 --> 00:06:28,720
Speaker 2: are just because of Donald Trump or just because of

120
00:06:28,800 --> 00:06:32,080
Speaker 2: the tech billionaires. And look, I've got plenty of critiques

121
00:06:32,120 --> 00:06:35,440
Speaker 2: of both, but the truth is we've got a lot

122
00:06:35,480 --> 00:06:38,320
Speaker 2: of resources, a lot of assets. We've increased spending in

123
00:06:38,320 --> 00:06:41,880
Speaker 2: the state of California by seventy five percent, or one

124
00:06:42,000 --> 00:06:46,359
Speaker 2: hundred and fifty billion dollars in just the last six years.

125
00:06:46,640 --> 00:06:49,560
Speaker 2: And I'm the only Democrat in this race saying we

126
00:06:49,600 --> 00:06:53,239
Speaker 2: need to demand that our state government do better before

127
00:06:53,279 --> 00:06:56,039
Speaker 2: we ask people to pay more. And I've got a

128
00:06:56,120 --> 00:06:58,599
Speaker 2: track record as mayor of the largest city in northern

129
00:06:58,600 --> 00:07:01,560
Speaker 2: California of doing that. We didn't raise taxes, but we

130
00:07:01,920 --> 00:07:05,159
Speaker 2: dramatically changed the level of crime. We reduced it and

131
00:07:05,200 --> 00:07:07,640
Speaker 2: became the safest big city in the country. Same with

132
00:07:07,920 --> 00:07:10,720
Speaker 2: reducing homelessness, getting housing built. And I just I think

133
00:07:10,720 --> 00:07:12,840
Speaker 2: accountability is what the state needs. And I didn't hear

134
00:07:12,880 --> 00:07:14,120
Speaker 2: anybody else talking about it.

135
00:07:14,320 --> 00:07:16,480
Speaker 1: You know, it's interesting. I know that I spent a

136
00:07:16,520 --> 00:07:20,520
Speaker 1: little bit of time in San Jose and one of

137
00:07:20,560 --> 00:07:23,520
Speaker 1: the there are times when you're in the city that

138
00:07:23,560 --> 00:07:27,119
Speaker 1: you you can't you're you're unaware that Silicon Valley's right there.

139
00:07:27,520 --> 00:07:31,280
Speaker 1: And I'll be honest, I the first, you know, I

140
00:07:31,680 --> 00:07:36,120
Speaker 1: expected more of a presence in a positive way, and

141
00:07:36,160 --> 00:07:41,240
Speaker 1: it isn't there. It's it's interesting suburban yeah, that that

142
00:07:41,240 --> 00:07:44,640
Speaker 1: that the Silicon Valley workers don't really live in San Jose.

143
00:07:45,720 --> 00:07:47,720
Speaker 2: It was actually the opposite. It's the opposite. We we

144
00:07:47,840 --> 00:07:51,840
Speaker 2: housed the workforce. San Jose was built as the bedroom community.

145
00:07:51,880 --> 00:07:53,920
Speaker 1: There's a lot of people that seemed to commute, that

146
00:07:53,960 --> 00:07:56,240
Speaker 1: seemed to commute right all the way closer to the

147
00:07:56,240 --> 00:07:56,880
Speaker 1: San Francisco.

148
00:07:58,880 --> 00:08:03,680
Speaker 2: Yeah. So historically what happened was the defense industry invested early,

149
00:08:03,720 --> 00:08:07,000
Speaker 2: and out of that became the semiconductor industry, and the

150
00:08:07,240 --> 00:08:10,280
Speaker 2: jobs were actually closer to Stanford or Palo Alto, which

151
00:08:10,320 --> 00:08:13,560
Speaker 2: is almost the midpoint between San Jose and San Francisco.

152
00:08:13,840 --> 00:08:17,440
Speaker 2: San Jose was all agriculture up until the World War

153
00:08:17,480 --> 00:08:21,800
Speaker 2: two boom, but in the sixties and seventies, all of

154
00:08:21,840 --> 00:08:23,760
Speaker 2: that that valley would used to be called the Valley

155
00:08:23,800 --> 00:08:27,040
Speaker 2: of Hearts delay, all of those orchards got turned into

156
00:08:27,120 --> 00:08:30,320
Speaker 2: single family home neighborhoods. And so San Jose is one

157
00:08:30,400 --> 00:08:33,680
Speaker 2: million people in the heart of Silicon Valley. But it

158
00:08:33,720 --> 00:08:37,360
Speaker 2: is the it is the residential center of the valley.

159
00:08:37,400 --> 00:08:39,920
Speaker 2: It's where tech's workforce lives. It's where their kids go

160
00:08:39,960 --> 00:08:42,680
Speaker 2: to school, they go to the park, the library. But

161
00:08:42,920 --> 00:08:44,959
Speaker 2: what we've been doing in recent years that I'm really

162
00:08:44,960 --> 00:08:47,839
Speaker 2: excited about is we're building an urban center in our

163
00:08:47,880 --> 00:08:50,840
Speaker 2: downtown and it's starting to grow. We're getting housing built.

164
00:08:51,080 --> 00:08:55,240
Speaker 2: Silicon Valley has always lacked a proper downtown or urban center,

165
00:08:55,280 --> 00:08:59,559
Speaker 2: and that's now becoming that's San Jose's downtown. But you're right,

166
00:08:59,600 --> 00:09:02,440
Speaker 2: it's more sprawling. It's not like New York or Chicago

167
00:09:02,600 --> 00:09:03,559
Speaker 2: or one of our you know.

168
00:09:04,080 --> 00:09:05,280
Speaker 1: What would you attribute this to?

169
00:09:05,400 --> 00:09:05,840
Speaker 2: Though? Why?

170
00:09:05,840 --> 00:09:08,080
Speaker 1: Why hasn't Because I looked at it. It's like, I'm

171
00:09:08,120 --> 00:09:11,920
Speaker 1: just surprised that the companies themselves, you know, I expected

172
00:09:12,000 --> 00:09:16,920
Speaker 1: to see the Facebook Arena, the arts, the Apple Arts Center,

173
00:09:17,000 --> 00:09:19,080
Speaker 1: you know, I mean, I'm you know, which is what

174
00:09:19,160 --> 00:09:22,640
Speaker 1: you see in other cities where the industry is sort

175
00:09:22,679 --> 00:09:27,160
Speaker 1: of connected to the community, and it always it has

176
00:09:27,200 --> 00:09:29,400
Speaker 1: felt as if and I'm just curious if you believe

177
00:09:29,440 --> 00:09:32,040
Speaker 1: this or maybe you've improved you feel like you can

178
00:09:32,080 --> 00:09:35,440
Speaker 1: improve this, which is that the big companies of Silicon

179
00:09:35,520 --> 00:09:38,360
Speaker 1: Valley haven't necessarily invested in San Jose and the way

180
00:09:38,360 --> 00:09:39,280
Speaker 1: you might expect them to.

181
00:09:41,800 --> 00:09:43,840
Speaker 2: Yeah, I think that these I worked at the tech

182
00:09:43,880 --> 00:09:49,800
Speaker 2: sector building civic tech tools, helping people essentially organize and

183
00:09:50,200 --> 00:09:53,120
Speaker 2: be civically active and hold their elected officials accountable. And

184
00:09:53,160 --> 00:09:57,080
Speaker 2: I can tell you from working in the space for

185
00:09:57,160 --> 00:10:02,160
Speaker 2: quite a few years, that technology don't start from the

186
00:10:02,240 --> 00:10:07,280
Speaker 2: perspective of politics or or the kind of presence that

187
00:10:07,320 --> 00:10:12,240
Speaker 2: you're talking about, or even brand building. The I know,

188
00:10:12,280 --> 00:10:15,440
Speaker 2: it's sort of the myth, although I think kind of

189
00:10:15,440 --> 00:10:18,360
Speaker 2: the reality of tech that it's much more people who

190
00:10:18,400 --> 00:10:22,480
Speaker 2: are tinkers, inventors who are literally starting in a garage

191
00:10:22,640 --> 00:10:26,400
Speaker 2: and they're interested in creating something new and powerful that

192
00:10:26,559 --> 00:10:29,800
Speaker 2: gives you a new capability that can solve a problem.

193
00:10:30,320 --> 00:10:33,920
Speaker 2: And it's sort of like the all the rest, you know,

194
00:10:34,040 --> 00:10:40,679
Speaker 2: the revenue profit, you know, sponsorships, marketing, politics is super secondary.

195
00:10:40,720 --> 00:10:43,520
Speaker 2: For years, the tech sector had a mutual avoidance with

196
00:10:43,559 --> 00:10:45,640
Speaker 2: government and just wanted to be left alone. It's actually

197
00:10:45,679 --> 00:10:49,439
Speaker 2: a very libertarian sector. And so whether you're in San

198
00:10:49,440 --> 00:10:49,960
Speaker 2: Francisco and.

199
00:10:50,040 --> 00:10:52,640
Speaker 1: Again still is a libertarian mindset. I mean, you know,

200
00:10:52,920 --> 00:10:53,280
Speaker 1: I think.

201
00:10:55,080 --> 00:10:56,839
Speaker 2: We do have some exceptions, though I have to give

202
00:10:56,880 --> 00:11:00,199
Speaker 2: a huge shout out to Adobe, headquartered in down town

203
00:11:00,280 --> 00:11:03,840
Speaker 2: San Jose, thousands of employees. They contribute a ton to

204
00:11:03,920 --> 00:11:07,600
Speaker 2: the community. They're always sponsoring things, investing in arts and culture.

205
00:11:08,280 --> 00:11:10,920
Speaker 1: But they are Why do you think they're the exception?

206
00:11:11,240 --> 00:11:13,760
Speaker 1: Because they do. A minute you just said that, it

207
00:11:14,320 --> 00:11:16,320
Speaker 1: dawned on me. I remember seeing a lot of the

208
00:11:16,520 --> 00:11:17,240
Speaker 1: Adobe brand.

209
00:11:18,160 --> 00:11:20,480
Speaker 2: Yeah, although I've got to say same for Cisco, which

210
00:11:20,520 --> 00:11:22,520
Speaker 2: is here in San Jose. I think it depends on

211
00:11:22,559 --> 00:11:24,720
Speaker 2: the maturity of the company and the maturity of the

212
00:11:24,800 --> 00:11:29,199
Speaker 2: sub industry. If it's a new robotics company or vertical

213
00:11:29,240 --> 00:11:31,679
Speaker 2: takeoff and landing vehicle, they're just focused on trying to

214
00:11:31,679 --> 00:11:33,440
Speaker 2: get the tech to work. They're trying to actually figure

215
00:11:33,440 --> 00:11:35,240
Speaker 2: out as they're a market for this thing, and does

216
00:11:35,280 --> 00:11:38,360
Speaker 2: it work. Once a company has been around twenty thirty

217
00:11:38,400 --> 00:11:41,360
Speaker 2: years as profitable, as more mature, they're a lot more

218
00:11:41,480 --> 00:11:44,280
Speaker 2: likely to actually look around and say, Okay, how do

219
00:11:44,320 --> 00:11:47,199
Speaker 2: we show up in the community. What are our responsibilities?

220
00:11:47,640 --> 00:11:49,320
Speaker 2: But you're right, I mean, I think we're pointing out

221
00:11:49,360 --> 00:11:52,720
Speaker 2: as an industry that until recently at least, has been

222
00:11:53,760 --> 00:11:57,120
Speaker 2: sort of being nascent. It just wasn't a totally.

223
00:11:56,800 --> 00:11:59,360
Speaker 1: Mature I mean, I guess if you were to describe

224
00:11:59,400 --> 00:12:01,359
Speaker 1: them as a person, you'd say they're kind of introverted.

225
00:12:02,120 --> 00:12:04,840
Speaker 1: They're just they don't and I don't, I don't, I

226
00:12:04,880 --> 00:12:08,120
Speaker 1: don't write I don't buy that it's like some nefarious

227
00:12:08,120 --> 00:12:10,560
Speaker 1: reason they don't want to contribute to a community. It's

228
00:12:10,679 --> 00:12:14,000
Speaker 1: just this, it's not like you see with other industries.

229
00:12:14,400 --> 00:12:17,160
Speaker 1: And I remember it. I guess I would it feels

230
00:12:17,160 --> 00:12:19,600
Speaker 1: as if San Jose should be benefiting more than they are.

231
00:12:20,200 --> 00:12:23,880
Speaker 2: I do you argue that, I mean feel that's my pitch. So,

232
00:12:24,000 --> 00:12:27,640
Speaker 2: for example, we have a super Bowl World Cup coming

233
00:12:27,640 --> 00:12:29,800
Speaker 2: to San Jose this year. We just hosted Super Bowl

234
00:12:29,960 --> 00:12:34,120
Speaker 2: World Cups coming with six matches actually March Madness this week,

235
00:12:34,520 --> 00:12:37,640
Speaker 2: and I went around to our local employers and asked

236
00:12:37,679 --> 00:12:40,720
Speaker 2: them to contribute to a fan experience, to make it

237
00:12:40,760 --> 00:12:42,800
Speaker 2: open and accessible to all of our residents, so that

238
00:12:42,880 --> 00:12:45,280
Speaker 2: even residents who couldn't afford a ticket to one of

239
00:12:45,280 --> 00:12:47,960
Speaker 2: the big games could have a great experience. We raised

240
00:12:47,960 --> 00:12:51,400
Speaker 2: about five million dollars from local employers, mostly tech employers,

241
00:12:51,480 --> 00:12:55,439
Speaker 2: but not all view that as being their sort of

242
00:12:55,480 --> 00:12:58,520
Speaker 2: civic responsibility. I'll give you another example I'm really proud of.

243
00:12:59,400 --> 00:13:03,720
Speaker 2: We've created something called AI for all. I am concerned,

244
00:13:03,720 --> 00:13:07,000
Speaker 2: as I think most people are, that AI is coming quickly.

245
00:13:07,400 --> 00:13:10,199
Speaker 2: It's very powerful. It could do a lot of good,

246
00:13:10,280 --> 00:13:13,520
Speaker 2: it could also do a lot of harm. We worked with,

247
00:13:13,679 --> 00:13:17,880
Speaker 2: reached out to and convinced three of the leading AI companies, Google,

248
00:13:18,000 --> 00:13:21,679
Speaker 2: Open Ai, and Anthropic to actually partner with our library

249
00:13:21,760 --> 00:13:26,280
Speaker 2: system to make their tools freely accessible. Along with tutorials,

250
00:13:26,640 --> 00:13:30,040
Speaker 2: in person trainings, and really try to open up this

251
00:13:30,160 --> 00:13:33,360
Speaker 2: technology and make it accessible for all of our residents.

252
00:13:33,360 --> 00:13:35,520
Speaker 2: We have seven hundred thousand people in San Jose with

253
00:13:35,559 --> 00:13:38,280
Speaker 2: a library card. City of a million people, seventy percent

254
00:13:38,320 --> 00:13:41,040
Speaker 2: of a library card. We want everybody in our city,

255
00:13:41,080 --> 00:13:43,480
Speaker 2: and ultimately everybody in the world needs to have access

256
00:13:43,520 --> 00:13:46,120
Speaker 2: to these tools and the training and tech that they

257
00:13:46,160 --> 00:13:49,319
Speaker 2: need to be able to participate and share in this

258
00:13:49,400 --> 00:13:52,520
Speaker 2: new emerging economy. If we don't get ahead of this,

259
00:13:53,000 --> 00:13:56,439
Speaker 2: it's there's real risk of harming harming people.

260
00:13:56,640 --> 00:13:59,360
Speaker 1: To me, there's two challenges with AI. There's accessibility, you

261
00:13:59,400 --> 00:14:03,480
Speaker 1: just outline that one. But there's also guardrails, and the

262
00:14:03,520 --> 00:14:06,959
Speaker 1: industry doesn't want any you know, maybe anthropic is more

263
00:14:07,000 --> 00:14:10,080
Speaker 1: open to guardrails and open AI, but ultimately, you know,

264
00:14:10,600 --> 00:14:14,160
Speaker 1: other than regulatory capture, I'm the political senate here. You

265
00:14:14,160 --> 00:14:16,680
Speaker 1: don't have to concur with that. I'm the Senate. I

266
00:14:16,720 --> 00:14:19,760
Speaker 1: will say it, you know, I think ultimately, usually in

267
00:14:19,760 --> 00:14:22,120
Speaker 1: one of these instances, there's somebody that is willing to

268
00:14:22,120 --> 00:14:24,520
Speaker 1: be pro regulation as long as they get to do

269
00:14:24,560 --> 00:14:26,840
Speaker 1: it on their terms, right, you know, and becomes a

270
00:14:26,880 --> 00:14:29,360
Speaker 1: bit of industry capture. So let me ask you this,

271
00:14:29,480 --> 00:14:32,760
Speaker 1: what should because the state of California here, you guys,

272
00:14:32,840 --> 00:14:39,760
Speaker 1: decide on some guardrails, it's going it potentially becomes the standard.

273
00:14:40,360 --> 00:14:44,119
Speaker 1: It potentially can have that kind of impact. Right, California

274
00:14:44,160 --> 00:14:47,160
Speaker 1: has that kind of ability that it can have outsized

275
00:14:47,160 --> 00:14:49,800
Speaker 1: impact on you know, we're seeing it now. New York

276
00:14:49,800 --> 00:14:52,360
Speaker 1: passed a law about surveillance pricing that you've got to

277
00:14:52,440 --> 00:14:55,400
Speaker 1: let people know about surveillance pricing. So because New York

278
00:14:55,440 --> 00:14:58,800
Speaker 1: has that law, you see companies even if they're they're

279
00:14:59,160 --> 00:15:02,360
Speaker 1: they're sending an offer to Oklahoma, they know it might

280
00:15:02,400 --> 00:15:03,840
Speaker 1: be seen in New York, so they have to abide

281
00:15:03,880 --> 00:15:06,320
Speaker 1: by the law. So the point being is certain states

282
00:15:06,360 --> 00:15:09,920
Speaker 1: can have outsized influence when it comes to guardrails. What

283
00:15:09,960 --> 00:15:12,200
Speaker 1: are the guardrails that you'd like to see state government?

284
00:15:13,240 --> 00:15:16,320
Speaker 1: If you're governor, what would you be proposing for the

285
00:15:16,320 --> 00:15:17,120
Speaker 1: AI industry?

286
00:15:18,600 --> 00:15:21,120
Speaker 2: Yeah, I think it's a really important question, and I

287
00:15:21,560 --> 00:15:23,760
Speaker 2: have the benefit of being the only candidate in this

288
00:15:23,880 --> 00:15:27,160
Speaker 2: race that has already had experience regulating AI. We use

289
00:15:27,760 --> 00:15:31,840
Speaker 2: technology throughout San Jose. In fact, we've been on the

290
00:15:32,000 --> 00:15:36,200
Speaker 2: leading edge of deploying AI to improve public services. We

291
00:15:36,280 --> 00:15:40,440
Speaker 2: created something called the gov AI coalition that has grown

292
00:15:40,520 --> 00:15:43,360
Speaker 2: from a handful of cities to over nine hundred public

293
00:15:43,440 --> 00:15:51,440
Speaker 2: agencies that are convening and setting policy around the responsible

294
00:15:51,480 --> 00:15:53,800
Speaker 2: and ethical use of AI. So what does that mean

295
00:15:53,840 --> 00:15:56,600
Speaker 2: in practice? When we deploy a new tool like automated

296
00:15:56,600 --> 00:16:02,000
Speaker 2: license plate readers, we have a responsibility for being totally

297
00:16:02,000 --> 00:16:06,960
Speaker 2: transparent with the public. What do we collect, where, when, why,

298
00:16:07,160 --> 00:16:09,320
Speaker 2: how's the data used? Is it shared with anyone? So

299
00:16:09,320 --> 00:16:12,400
Speaker 2: we publish all that on our website, and we're very restrictive.

300
00:16:12,680 --> 00:16:16,960
Speaker 2: We don't do facial recognition. That is an explicit regulation

301
00:16:17,040 --> 00:16:20,720
Speaker 2: and standard. We don't keep the data indefinitely. In fact,

302
00:16:20,920 --> 00:16:23,880
Speaker 2: with our automated license plate readers, we delete the data

303
00:16:24,200 --> 00:16:27,400
Speaker 2: after thirty days unless it is still actively needed in

304
00:16:27,520 --> 00:16:30,200
Speaker 2: a in a prosecution or investigation and it's it's been

305
00:16:30,360 --> 00:16:33,840
Speaker 2: you know, kept specifically for that purpose. Otherwise it's deleted

306
00:16:33,840 --> 00:16:37,280
Speaker 2: because we don't want to build long term profiles on.

307
00:16:37,280 --> 00:16:40,560
Speaker 1: Time that government is How do you guarantee that the

308
00:16:40,600 --> 00:16:45,000
Speaker 1: company that you've contracted with to do this isn't Well,

309
00:16:45,040 --> 00:16:45,560
Speaker 1: we make.

310
00:16:45,800 --> 00:16:49,720
Speaker 2: We make them sign a contract with us on we

311
00:16:49,800 --> 00:16:51,600
Speaker 2: do not. So in the case of just the license

312
00:16:51,640 --> 00:16:54,280
Speaker 2: plate readers we own that we make sure we own

313
00:16:54,280 --> 00:16:56,280
Speaker 2: the data so it can't be shared by the company.

314
00:16:56,320 --> 00:16:58,720
Speaker 2: They don't. They don't control it. We do. It's in

315
00:16:58,880 --> 00:17:03,680
Speaker 2: our it's in our sur and so I think the

316
00:17:03,720 --> 00:17:06,440
Speaker 2: importance of being out in front and testing and using

317
00:17:06,480 --> 00:17:09,920
Speaker 2: these tools in government is so that we don't get blindsided,

318
00:17:10,000 --> 00:17:12,639
Speaker 2: so that we learn and are in a position to

319
00:17:12,760 --> 00:17:16,280
Speaker 2: understand the tools so that we can effectively regulate them.

320
00:17:16,280 --> 00:17:18,119
Speaker 2: And I think that the State of California over the

321
00:17:18,119 --> 00:17:20,959
Speaker 2: coming years is going to have to create the regulatory

322
00:17:21,000 --> 00:17:25,439
Speaker 2: framework around privacy, data security, protecting children, all in this

323
00:17:25,480 --> 00:17:27,920
Speaker 2: new context of AI. And I think the biggest thing

324
00:17:28,000 --> 00:17:32,119
Speaker 2: is what you referenced in your New York example. Transparency

325
00:17:32,359 --> 00:17:35,600
Speaker 2: is what I think is the most important starting place.

326
00:17:35,920 --> 00:17:38,160
Speaker 2: There may be specific things that we need to stay

327
00:17:38,560 --> 00:17:41,000
Speaker 2: yes you can do this, and no you can't do that,

328
00:17:41,400 --> 00:17:44,640
Speaker 2: but you need to know when AI is being used.

329
00:17:44,640 --> 00:17:47,280
Speaker 2: You want to know if a video is AI generated

330
00:17:47,359 --> 00:17:50,119
Speaker 2: or not. So I think that sort of transparency and

331
00:17:50,200 --> 00:17:52,800
Speaker 2: truth in labeling almost if you will to use an

332
00:17:52,800 --> 00:17:56,200
Speaker 2: analogy from a different different sector, I think that's really

333
00:17:56,520 --> 00:17:57,320
Speaker 2: really important.

334
00:18:00,080 --> 00:18:02,040
Speaker 1: This episode of the Chuck Podcast is brought to you

335
00:18:02,080 --> 00:18:04,359
Speaker 1: by Soul, So if you love that end of the

336
00:18:04,440 --> 00:18:07,960
Speaker 1: day unwined, but hate the hangover. Soul's out of Office

337
00:18:08,600 --> 00:18:12,000
Speaker 1: is for you. These sparkling THCHC drinks and gummies give

338
00:18:12,000 --> 00:18:15,439
Speaker 1: you the same relaxed social feeling without the alcohol, without

339
00:18:15,480 --> 00:18:19,360
Speaker 1: the calories, and without the crash. Soul is a wellness

340
00:18:19,359 --> 00:18:21,919
Speaker 1: brand that believes feeling good should be fun and easy.

341
00:18:22,040 --> 00:18:27,200
Speaker 1: Soul specializes in delicious hemp derived THCHC and CBD products

342
00:18:27,240 --> 00:18:30,480
Speaker 1: designed to boost your mood and help you unwind. Their

343
00:18:30,520 --> 00:18:33,119
Speaker 1: best selling out of Office gummies were designed to provide

344
00:18:33,160 --> 00:18:36,960
Speaker 1: a mild, relaxing buzz, boost your mood, and enhance creativity

345
00:18:37,040 --> 00:18:40,280
Speaker 1: and relaxation. With five different strengths, you can tailor the

346
00:18:40,320 --> 00:18:43,720
Speaker 1: dose to fit your vibe. So also has a variety

347
00:18:43,720 --> 00:18:45,920
Speaker 1: of products specifically designed to help you get a better

348
00:18:46,000 --> 00:18:49,080
Speaker 1: night's rest, including their top selling Sleepy Gummies, a fan

349
00:18:49,160 --> 00:18:51,520
Speaker 1: favored for deep, restorous sleep.

350
00:18:52,000 --> 00:18:52,240
Speaker 2: Look.

351
00:18:52,320 --> 00:18:54,960
Speaker 1: I have made no secret, I am a believer in

352
00:18:55,000 --> 00:18:57,720
Speaker 1: this stuff, in cannabis and hemp derived. I do not

353
00:18:58,200 --> 00:19:00,600
Speaker 1: partake in alcohol. For the most part, I think this

354
00:19:00,640 --> 00:19:02,960
Speaker 1: stuff is a lot safer than alcohol, a lot less

355
00:19:02,960 --> 00:19:05,840
Speaker 1: addictive than alcohol. And yes, I have to say I

356
00:19:05,880 --> 00:19:08,679
Speaker 1: love these drinks. It is the glass of wine and

357
00:19:08,720 --> 00:19:12,119
Speaker 1: you know after work, that's what this is. So no

358
00:19:12,240 --> 00:19:16,400
Speaker 1: hangover and no excess calories like this. I'm a big fan,

359
00:19:16,880 --> 00:19:19,080
Speaker 1: So bring on the good vibes and treat yourself to

360
00:19:19,160 --> 00:19:22,120
Speaker 1: Sold today. Right now, Soul is offering my audience thirty

361
00:19:22,160 --> 00:19:24,920
Speaker 1: percent off your entire order. Go to getsoul dot com

362
00:19:24,960 --> 00:19:28,439
Speaker 1: and use the word toodcast that's getsold dot com promo

363
00:19:28,480 --> 00:19:32,120
Speaker 1: code podcast for thirty percent off. And yes, I too,

364
00:19:32,440 --> 00:19:37,919
Speaker 1: am a customer. Let me ask you this, why do

365
00:19:38,000 --> 00:19:43,320
Speaker 1: you think a fairly large majority of the country is

366
00:19:43,440 --> 00:19:45,320
Speaker 1: essentially negative on AI?

367
00:19:47,880 --> 00:19:51,480
Speaker 2: Well, I think it's the unknown. I think it's it's scary. Two.

368
00:19:51,800 --> 00:19:53,720
Speaker 2: I think there are a couple of things that.

369
00:19:53,880 --> 00:19:57,000
Speaker 1: We're an outlier with other Western democracies. By the way,

370
00:19:57,000 --> 00:19:59,840
Speaker 1: on this, AI is more unpopular in the United States

371
00:20:00,000 --> 00:20:03,720
Speaker 1: and it is in other in other places where there's

372
00:20:03,720 --> 00:20:06,679
Speaker 1: been there's been some public opinion research. So it does

373
00:20:06,760 --> 00:20:08,400
Speaker 1: seem like we're a little bit more.

374
00:20:09,080 --> 00:20:10,679
Speaker 2: We're on the forefront of it, so we may just

375
00:20:10,720 --> 00:20:14,480
Speaker 2: be the leading indicator. Maybe that is other countries. I mean,

376
00:20:14,480 --> 00:20:18,360
Speaker 2: we have the world's leading AI companies right in the US.

377
00:20:18,280 --> 00:20:19,480
Speaker 1: So we're feeling it first.

378
00:20:19,600 --> 00:20:22,159
Speaker 2: Yeah, I think we're feeling it. First. Yeah, I mean, look, people,

379
00:20:22,240 --> 00:20:26,240
Speaker 2: people are right to be concerned, and I think you know,

380
00:20:26,359 --> 00:20:29,119
Speaker 2: one area of concern is privacy, and that's where total

381
00:20:29,160 --> 00:20:35,040
Speaker 2: transparency around what you collect and how it's used and

382
00:20:35,280 --> 00:20:36,840
Speaker 2: whether or not it's stored, all of that.

383
00:20:37,080 --> 00:20:39,320
Speaker 1: All Right, you saying the right thing, but let me

384
00:20:39,440 --> 00:20:41,879
Speaker 1: I understand, let me page you, then let me podge

385
00:20:41,880 --> 00:20:46,320
Speaker 1: you there in privacy because this has been an issue

386
00:20:46,320 --> 00:20:49,639
Speaker 1: for twenty years with Silicon Valley and the development of

387
00:20:49,680 --> 00:20:53,520
Speaker 1: social media platforms, was we were supposed to have all

388
00:20:53,560 --> 00:20:57,960
Speaker 1: these concerns, and we'd hear plenty of people talking about

389
00:20:58,000 --> 00:21:01,439
Speaker 1: these concerns and then the company these themselves didn't behave

390
00:21:02,359 --> 00:21:05,080
Speaker 1: And you know, I personally, I think the reason why

391
00:21:05,119 --> 00:21:08,159
Speaker 1: there's no trust with AI and some is because the

392
00:21:08,200 --> 00:21:10,640
Speaker 1: same people that brought you social media, which has been

393
00:21:10,880 --> 00:21:14,960
Speaker 1: an utter disaster for our information ecosystem, are the ones

394
00:21:15,000 --> 00:21:17,040
Speaker 1: bringing you AI. And we're supposed to feel good about this,

395
00:21:17,840 --> 00:21:23,560
Speaker 1: Like I just that's what frustrates me is there we're

396
00:21:23,720 --> 00:21:26,679
Speaker 1: we're going through the same conversations we had at the

397
00:21:26,880 --> 00:21:29,159
Speaker 1: at the advent of social media, and and you know,

398
00:21:29,160 --> 00:21:31,240
Speaker 1: because at first it was awesome and then of course

399
00:21:31,280 --> 00:21:33,640
Speaker 1: after they are we realized, oh whoa, this this could

400
00:21:33,680 --> 00:21:37,160
Speaker 1: be weaponized and manipulated. Now we're and now we're now

401
00:21:37,200 --> 00:21:39,280
Speaker 1: it's already toothpaste out of the tube. There's nothing we

402
00:21:39,320 --> 00:21:42,600
Speaker 1: can do about it. And how do we ensure this

403
00:21:42,640 --> 00:21:43,560
Speaker 1: doesn't happen with AI?

404
00:21:45,760 --> 00:21:47,639
Speaker 2: Well, Chuck, I mean, look, I'm not I'm not here

405
00:21:47,760 --> 00:21:50,240
Speaker 2: to defend social media and when they're.

406
00:21:50,160 --> 00:21:52,040
Speaker 1: I'm not trying to make you, but I do want

407
00:21:52,119 --> 00:21:54,800
Speaker 1: I do want government to be more skeptical and put

408
00:21:54,840 --> 00:21:56,919
Speaker 1: these guys a bit through, a little bit more of

409
00:21:56,920 --> 00:21:57,880
Speaker 1: the ringer, if you will.

410
00:21:58,440 --> 00:22:01,080
Speaker 2: Yeah, well, and I think there's okay. So there's a

411
00:22:01,080 --> 00:22:04,159
Speaker 2: couple of different things. When there's an actual violation of

412
00:22:04,240 --> 00:22:07,760
Speaker 2: people's privacy collecting their data, using it in ways that

413
00:22:07,800 --> 00:22:11,760
Speaker 2: they have not authorized, there needs to be strict accountability.

414
00:22:11,760 --> 00:22:15,040
Speaker 2: Cambridge Analytica being an example of a firm that scraped

415
00:22:15,080 --> 00:22:17,000
Speaker 2: a bunch of data, used it a ways people weren't

416
00:22:17,000 --> 00:22:19,600
Speaker 2: aware of, and I believe they were fined five billion

417
00:22:19,680 --> 00:22:22,880
Speaker 2: dollars and that's appropriate. There ought to be serious law

418
00:22:22,960 --> 00:22:28,000
Speaker 2: enforcement around the regulations we've put in place around personally

419
00:22:28,040 --> 00:22:31,520
Speaker 2: identifying information PII. There's a whole body of law around

420
00:22:31,560 --> 00:22:34,479
Speaker 2: that that needs to be enforced by regulators, and that

421
00:22:34,560 --> 00:22:37,399
Speaker 2: has to be done. When it comes to the echo

422
00:22:37,560 --> 00:22:41,480
Speaker 2: chambers of social media, you start to get into a

423
00:22:41,760 --> 00:22:44,240
Speaker 2: difficult place. And I think it's important to be skeptical

424
00:22:44,280 --> 00:22:46,520
Speaker 2: and to think about but you also don't want to

425
00:22:46,520 --> 00:22:49,240
Speaker 2: impose on people's free speech. One of the things that

426
00:22:49,359 --> 00:22:53,800
Speaker 2: is interesting is the crowdsourcing of community notes on x

427
00:22:53,880 --> 00:22:57,960
Speaker 2: where somebody can actually say, well, this is not the

428
00:22:58,000 --> 00:23:00,560
Speaker 2: whole story. Click here to learn more. And so I

429
00:23:00,560 --> 00:23:03,240
Speaker 2: think there's kind of this evolving space of how do

430
00:23:03,280 --> 00:23:06,359
Speaker 2: we actually deal with misinformation And that's a harder one

431
00:23:06,400 --> 00:23:11,119
Speaker 2: because you know, miss what you call misinformation maybe somebody

432
00:23:11,119 --> 00:23:13,280
Speaker 2: else saying well that's my opinion, and so it becomes

433
00:23:13,280 --> 00:23:16,000
Speaker 2: hard to police the truth. And I think there are

434
00:23:16,200 --> 00:23:20,280
Speaker 2: limits there to what government or technology can do and

435
00:23:20,440 --> 00:23:22,880
Speaker 2: ensuring that what people are saying is truthful and accurate.

436
00:23:23,600 --> 00:23:26,639
Speaker 2: At some point here you said a regulatory environment that

437
00:23:26,680 --> 00:23:28,880
Speaker 2: needs to be enforced. The Cambridge analyticals of the world

438
00:23:28,920 --> 00:23:32,760
Speaker 2: need to be sued and held accountable, maybe criminally liable,

439
00:23:33,040 --> 00:23:34,760
Speaker 2: But at some point it's also up to us to

440
00:23:34,840 --> 00:23:40,520
Speaker 2: think through our public education system about media literacy, critical thinking,

441
00:23:40,920 --> 00:23:43,400
Speaker 2: you know, training and teaching people so that they don't

442
00:23:43,480 --> 00:23:46,280
Speaker 2: just passively hear something and think, oh, that must be

443
00:23:46,520 --> 00:23:49,480
Speaker 2: that must be true. It is, it's on steroids. I'll

444
00:23:49,480 --> 00:23:51,920
Speaker 2: grant you this, but keep in mind when the country

445
00:23:52,000 --> 00:23:54,760
Speaker 2: was found and everybody was running off pamphlets in the basement,

446
00:23:55,080 --> 00:23:58,360
Speaker 2: say whatever the heck we wanted, and we always we've

447
00:23:58,400 --> 00:24:00,639
Speaker 2: always dealt with this issue information.

448
00:24:00,720 --> 00:24:04,600
Speaker 1: This is that I and I and I. It makes

449
00:24:04,640 --> 00:24:06,520
Speaker 1: me happy to hear you put it in those terms,

450
00:24:06,520 --> 00:24:10,000
Speaker 1: because that is something like to frequently remind people. You know,

451
00:24:10,200 --> 00:24:13,280
Speaker 1: people say our media is polarized. Our media has been

452
00:24:13,359 --> 00:24:16,919
Speaker 1: polarized for a majority of our country's history. We just

453
00:24:16,920 --> 00:24:18,879
Speaker 1: had a brief period called the Cold War where we

454
00:24:18,880 --> 00:24:22,760
Speaker 1: weren't it. We can we can have an entire debate

455
00:24:22,800 --> 00:24:26,280
Speaker 1: about why that was. For an outlaw period of sixteen years,

456
00:24:26,640 --> 00:24:28,640
Speaker 1: we had a we we were you know, we kept

457
00:24:28,640 --> 00:24:32,119
Speaker 1: our fringes at the side. All Right, I'm going to

458
00:24:32,160 --> 00:24:36,080
Speaker 1: get off social media, the Silicon Valley issues, uh, and

459
00:24:36,119 --> 00:24:38,760
Speaker 1: get to something that is you're doing in San Jose

460
00:24:39,880 --> 00:24:42,280
Speaker 1: to two issues that you're tackling in San Jose that

461
00:24:42,320 --> 00:24:45,719
Speaker 1: are also issues that this to deal with homelessness and

462
00:24:45,800 --> 00:24:51,560
Speaker 1: affordable housing and the things you're trying to do. Some

463
00:24:51,600 --> 00:24:54,400
Speaker 1: people love them, and you're some people are pushing back

464
00:24:54,440 --> 00:24:56,760
Speaker 1: at you. I mean, you know there's you get you

465
00:24:56,800 --> 00:24:59,280
Speaker 1: know in some ways that that means you're trying something.

466
00:24:59,560 --> 00:25:01,879
Speaker 1: If you don't, I have people on both sides that

467
00:25:02,000 --> 00:25:04,840
Speaker 1: out that it beats you're not mean. It means you're

468
00:25:04,840 --> 00:25:07,439
Speaker 1: not trying hard enough. In my opinion. So you're trying something,

469
00:25:07,600 --> 00:25:09,560
Speaker 1: Tell me about it, Tell me about homelessness. What do

470
00:25:09,560 --> 00:25:11,240
Speaker 1: you think you're getting right in San Jose that you

471
00:25:11,240 --> 00:25:12,080
Speaker 1: can take statewide?

472
00:25:13,359 --> 00:25:15,280
Speaker 2: Yeah? Well, first of all, the starting point on this

473
00:25:15,359 --> 00:25:18,040
Speaker 2: as I came into office was things just kept getting

474
00:25:18,080 --> 00:25:20,000
Speaker 2: worse year after year, even though we were spending more

475
00:25:20,000 --> 00:25:22,640
Speaker 2: and more. The state had spent over thirty billion dollars.

476
00:25:22,680 --> 00:25:24,639
Speaker 2: Even just in a city like San Jose, we were

477
00:25:24,680 --> 00:25:27,439
Speaker 2: spending one hundred million dollars a year. Our county had

478
00:25:27,480 --> 00:25:30,640
Speaker 2: passed a billion dollar bond. And I'm a I try

479
00:25:30,680 --> 00:25:32,960
Speaker 2: to be a data driven guy. It's important to have

480
00:25:33,240 --> 00:25:36,080
Speaker 2: a governing philosophy and some court and core values, but

481
00:25:36,160 --> 00:25:38,400
Speaker 2: then on top of that, you've got to actually look

482
00:25:38,440 --> 00:25:41,240
Speaker 2: at data on what works in practice, and everything was

483
00:25:41,280 --> 00:25:44,200
Speaker 2: going in the wrong direction. We had this community plan

484
00:25:44,280 --> 00:25:47,120
Speaker 2: to end homelessness in San Jose that didn't have any

485
00:25:47,200 --> 00:25:49,359
Speaker 2: math behind it, and as I did the back of

486
00:25:49,400 --> 00:25:52,960
Speaker 2: the envelope math, what I found was what we were

487
00:25:53,000 --> 00:25:55,560
Speaker 2: doing was never going to solve the problem. We would

488
00:25:55,560 --> 00:25:59,520
Speaker 2: have needed six billion dollars in twenty years just to

489
00:25:59,560 --> 00:26:03,080
Speaker 2: address the people on our streets at that moment. And

490
00:26:03,119 --> 00:26:06,800
Speaker 2: so we moved away from the slowest, most expensive solution,

491
00:26:06,920 --> 00:26:10,560
Speaker 2: which was using public dollars to build brand new apartments

492
00:26:10,560 --> 00:26:13,119
Speaker 2: for folks at a million dollars a door, which is

493
00:26:13,160 --> 00:26:16,000
Speaker 2: thirty percent higher than it costs the private marketplace to

494
00:26:16,000 --> 00:26:19,280
Speaker 2: build new housing and over six years to build, and

495
00:26:19,359 --> 00:26:23,560
Speaker 2: we pivoted to building basic dignified shelter. We converted old motels,

496
00:26:23,640 --> 00:26:27,000
Speaker 2: bought prefabricated modular units. What they all have in common

497
00:26:27,600 --> 00:26:30,920
Speaker 2: is we're giving people a safe, dignified place, a room

498
00:26:30,960 --> 00:26:34,480
Speaker 2: with a door that locks, access to services, case management,

499
00:26:34,560 --> 00:26:38,439
Speaker 2: on site security meals the basic things people need to

500
00:26:39,200 --> 00:26:41,560
Speaker 2: to be stabilized and start to turn their lives around.

501
00:26:41,920 --> 00:26:44,200
Speaker 2: And what we have found in the last few years

502
00:26:44,240 --> 00:26:48,199
Speaker 2: of scaling up safe and dignified shelter with services is

503
00:26:48,200 --> 00:26:50,200
Speaker 2: that we've been able to move thousands of people in

504
00:26:50,240 --> 00:26:54,439
Speaker 2: from these unmanaged tent encampments that have been just there

505
00:26:54,600 --> 00:26:57,840
Speaker 2: where people are just living in human misery and dying

506
00:26:57,880 --> 00:27:00,920
Speaker 2: at very high rates. We've reduced number of people who

507
00:27:00,920 --> 00:27:05,159
Speaker 2: were dying, we've reduced the amount of health issues, and

508
00:27:05,200 --> 00:27:07,959
Speaker 2: we've given people a real shot. In fact, twenty eight

509
00:27:08,000 --> 00:27:10,120
Speaker 2: percent of the people we've brought indoors over the last

510
00:27:10,160 --> 00:27:13,159
Speaker 2: few years have already graduated to permanent housing because they

511
00:27:13,200 --> 00:27:15,960
Speaker 2: were able to take advantage of the services we were offering.

512
00:27:16,280 --> 00:27:20,200
Speaker 2: So San Jose, by pivoting and looking at the data

513
00:27:20,560 --> 00:27:23,800
Speaker 2: and thinking differently, has led the state of California and

514
00:27:23,840 --> 00:27:27,199
Speaker 2: reducing the number of people living outside in tentingcampments by

515
00:27:27,200 --> 00:27:29,879
Speaker 2: about one third. And for the first time in our history,

516
00:27:29,920 --> 00:27:32,960
Speaker 2: a majority of people who are homeless in San Jose

517
00:27:33,440 --> 00:27:37,359
Speaker 2: will be living indoors, not outdoors. And you know, it's

518
00:27:37,480 --> 00:27:40,159
Speaker 2: very rich for folks to criticize this, but they're not

519
00:27:40,240 --> 00:27:42,960
Speaker 2: the ones living and dying in misery and attent encampment

520
00:27:43,040 --> 00:27:45,600
Speaker 2: without even access to a bathroom. And the truth is,

521
00:27:46,080 --> 00:27:50,000
Speaker 2: cities like New York and Boston and Chicago have similar

522
00:27:50,080 --> 00:27:53,840
Speaker 2: rates of homelessness, but the differences they build shelter capacity,

523
00:27:54,000 --> 00:27:56,720
Speaker 2: they don't leave people to die on the streets, because

524
00:27:56,960 --> 00:27:58,720
Speaker 2: you can't do that in a place with a cold winter.

525
00:27:59,040 --> 00:28:01,800
Speaker 2: But in California, we've been complacent. We never built the

526
00:28:01,800 --> 00:28:03,880
Speaker 2: shelter capacity to bring people indoors.

527
00:28:04,440 --> 00:28:06,680
Speaker 1: So we think this is an issue in San Francisco,

528
00:28:06,920 --> 00:28:09,360
Speaker 1: La San Diego, that they need more shelter capacity.

529
00:28:09,359 --> 00:28:12,560
Speaker 2: Well, look, yeah, I mean the data is so clear, Chuck.

530
00:28:12,640 --> 00:28:16,160
Speaker 2: I mean, we are twelve percent of the nation's population.

531
00:28:16,720 --> 00:28:19,400
Speaker 2: We have over forty percent of the people who live

532
00:28:19,440 --> 00:28:23,160
Speaker 2: outside in the country on our streets. We haven't built

533
00:28:23,240 --> 00:28:27,040
Speaker 2: enough shelter, we haven't built enough treatment capacity, and even

534
00:28:27,040 --> 00:28:29,879
Speaker 2: when we have those beds, we have been reticent to

535
00:28:29,960 --> 00:28:32,840
Speaker 2: hold people accountable for coming indoors. Now, I do want

536
00:28:32,840 --> 00:28:34,960
Speaker 2: to note something else here. We can get into all

537
00:28:35,240 --> 00:28:39,720
Speaker 2: the addiction and mental illness points, but a place where

538
00:28:39,720 --> 00:28:43,680
Speaker 2: I agree wholeheartedly with the advocates in this in this

539
00:28:43,760 --> 00:28:48,440
Speaker 2: case is that we have broken the housing market in

540
00:28:48,480 --> 00:28:52,720
Speaker 2: California and the rent is too damn expensive. So we

541
00:28:52,920 --> 00:28:53,480
Speaker 2: actually agree.

542
00:28:53,560 --> 00:28:55,200
Speaker 1: You're supposed to say the rant is too damn high.

543
00:28:55,200 --> 00:28:57,080
Speaker 1: Remember there was that political party that got.

544
00:28:56,960 --> 00:28:57,440
Speaker 2: That's what it is.

545
00:28:59,360 --> 00:29:01,360
Speaker 1: I missed that. I don't remember, but he was the rent.

546
00:29:01,400 --> 00:29:03,560
Speaker 1: It's too damn high. Guy, I think you ran for

547
00:29:03,640 --> 00:29:05,520
Speaker 1: mayor of New York City about ten years ago. But

548
00:29:06,120 --> 00:29:08,160
Speaker 1: it's that's I think people feel that way in a

549
00:29:08,160 --> 00:29:10,680
Speaker 1: lot of places. Yeah.

550
00:29:10,720 --> 00:29:13,640
Speaker 2: So, I mean, look, that's part of the overarching problem

551
00:29:13,680 --> 00:29:16,440
Speaker 2: here is that we don't have enough housing that is affordable.

552
00:29:16,520 --> 00:29:20,360
Speaker 2: But I would also say that's largely a public policy failure.

553
00:29:20,600 --> 00:29:24,200
Speaker 2: We have the slowest permitting times, the most aggressive environmental laws,

554
00:29:24,280 --> 00:29:27,680
Speaker 2: the highest impact fees. I mean, we just we've made

555
00:29:27,720 --> 00:29:31,720
Speaker 2: it so slow and expensive to build that the housing

556
00:29:31,760 --> 00:29:34,800
Speaker 2: market isn't keeping up with demand and actually building housing

557
00:29:34,840 --> 00:29:35,959
Speaker 2: affordably for people.

558
00:29:36,560 --> 00:29:40,240
Speaker 1: Let me ask this, because you know, I can we

559
00:29:40,360 --> 00:29:44,800
Speaker 1: have environmental regulation that's just faster, Like you know, I

560
00:29:45,120 --> 00:29:49,200
Speaker 1: hate that the choice becomes, well we just won't do

561
00:29:49,320 --> 00:29:52,520
Speaker 1: this environmental impact statement because it slows things down. Well

562
00:29:52,560 --> 00:29:54,880
Speaker 1: why does it have to slow things down? Why can't

563
00:29:55,400 --> 00:29:59,200
Speaker 1: we Why can't you both have those things but in

564
00:29:59,240 --> 00:30:02,920
Speaker 1: a timely capacity? What is the And maybe you don't

565
00:30:02,920 --> 00:30:04,800
Speaker 1: know the answer to this, and I would understand if

566
00:30:04,840 --> 00:30:06,720
Speaker 1: you didn't, but that's always been one of my head

567
00:30:06,760 --> 00:30:09,680
Speaker 1: you know, it's always presented as a choice. Well, either

568
00:30:09,720 --> 00:30:12,800
Speaker 1: you can have an environmental impact. You know that, or

569
00:30:12,880 --> 00:30:15,200
Speaker 1: that slows things down? No, well, why does it have

570
00:30:15,240 --> 00:30:16,760
Speaker 1: to Why does it slow things down?

571
00:30:17,640 --> 00:30:19,560
Speaker 2: Yeah? No, I agree with you. I don't think it

572
00:30:19,600 --> 00:30:21,440
Speaker 2: needs to be either or at all. Now. I do

573
00:30:21,560 --> 00:30:26,360
Speaker 2: think there's a big difference between wanting to build out

574
00:30:26,400 --> 00:30:30,960
Speaker 2: in greenfield open space outside of a growth boundary. If

575
00:30:30,960 --> 00:30:32,920
Speaker 2: you want to build out in the in the valleys

576
00:30:32,960 --> 00:30:36,280
Speaker 2: in the hills of California, that probably should take an

577
00:30:36,360 --> 00:30:40,200
Speaker 2: environmental review process that is quite a bit more robust

578
00:30:40,200 --> 00:30:42,400
Speaker 2: and takes more time than if you want to do

579
00:30:42,520 --> 00:30:45,920
Speaker 2: infill development. My big complaint has been even in our

580
00:30:46,120 --> 00:30:50,520
Speaker 2: urbanized areas where we have roads and sewers and we're

581
00:30:50,560 --> 00:30:53,640
Speaker 2: talking about building on a surface parking lot or a

582
00:30:53,720 --> 00:30:56,760
Speaker 2: place that is adjacent to a bunch of urbanized development,

583
00:30:57,680 --> 00:31:00,560
Speaker 2: we will still take at least up until very recent on,

584
00:31:00,600 --> 00:31:04,040
Speaker 2: almost all projects have taken over a year to go

585
00:31:04,120 --> 00:31:07,200
Speaker 2: through environmental and our definition of environmental, just to be clear,

586
00:31:07,320 --> 00:31:12,040
Speaker 2: with California's Environmental Quality Act sequel is so much broader

587
00:31:12,080 --> 00:31:15,960
Speaker 2: than what you might imagine is the environment. It's not

588
00:31:16,960 --> 00:31:21,239
Speaker 2: clean air, clean water, it goes far beyond that. It

589
00:31:21,320 --> 00:31:28,920
Speaker 2: is noise impacts, traffic impacts, shadows, historic registries, Native American

590
00:31:29,000 --> 00:31:32,320
Speaker 2: remains in the ground. I mean, just a endless list

591
00:31:32,960 --> 00:31:37,120
Speaker 2: of potential impacts with a lot of discretion or debate

592
00:31:37,200 --> 00:31:40,760
Speaker 2: over what are the right mitigations. And I think we've

593
00:31:40,800 --> 00:31:42,960
Speaker 2: got to simplify that now. It's not to say we shouldn't,

594
00:31:43,920 --> 00:31:46,440
Speaker 2: you know, check if you're destroying a historic building, and

595
00:31:46,760 --> 00:31:50,040
Speaker 2: sure that's valid, but it can't take as long as

596
00:31:50,040 --> 00:31:52,640
Speaker 2: it does. And this is where I actually think technology

597
00:31:52,640 --> 00:31:55,360
Speaker 2: can be really helpful. It ought to be that we

598
00:31:55,440 --> 00:31:58,720
Speaker 2: have inventory things in advance, and it doesn't take a

599
00:31:58,800 --> 00:32:01,440
Speaker 2: year to do a one off bespoke study. Where we

600
00:32:01,480 --> 00:32:05,000
Speaker 2: have this cottage industry of consultants who make millions of

601
00:32:05,040 --> 00:32:08,160
Speaker 2: dollars taking a year or more to study everything. We

602
00:32:08,240 --> 00:32:10,440
Speaker 2: ought to be able to run it against a database

603
00:32:10,520 --> 00:32:13,960
Speaker 2: and say, okay, here's here's how many people are living here,

604
00:32:14,240 --> 00:32:17,520
Speaker 2: here's the decibel level. You can't well hit memory and

605
00:32:17,640 --> 00:32:20,040
Speaker 2: nail after you know, nine to eight pm or whatever.

606
00:32:20,520 --> 00:32:22,760
Speaker 1: I'm going to make a really awkward comparison here, and

607
00:32:23,080 --> 00:32:25,480
Speaker 1: you could say I'm crazy, and I hope it doesn't

608
00:32:25,480 --> 00:32:27,520
Speaker 1: get you in trouble, but I sort of feel about

609
00:32:27,560 --> 00:32:29,800
Speaker 1: it the way I feel about there should be a

610
00:32:29,920 --> 00:32:33,080
Speaker 1: time because you're right, this stuff can be endless when

611
00:32:33,120 --> 00:32:35,000
Speaker 1: it comes to like waiting for a permit to be

612
00:32:35,000 --> 00:32:37,640
Speaker 1: approved and all this stuff. It's like, frankly, when I'm

613
00:32:37,640 --> 00:32:40,560
Speaker 1: watching a sporting event and there's instant replay. If it's

614
00:32:40,600 --> 00:32:44,160
Speaker 1: taking you so long to decide whether something is in

615
00:32:44,440 --> 00:32:46,960
Speaker 1: or out, then whatever the call was is the call,

616
00:32:47,360 --> 00:32:49,680
Speaker 1: and it's like you just time is up, you know.

617
00:32:49,760 --> 00:32:50,000
Speaker 2: There.

618
00:32:50,520 --> 00:32:53,360
Speaker 1: It's it's like I almost feel that way about instead

619
00:32:53,360 --> 00:32:55,680
Speaker 1: of an endless it being, it's almost like people want

620
00:32:55,680 --> 00:32:58,840
Speaker 1: to have more time so they can find something that's wrong,

621
00:32:59,480 --> 00:33:02,200
Speaker 1: versus is, look, you've got a finite amount of time.

622
00:33:02,320 --> 00:33:04,080
Speaker 1: This is a reasonable amount of time, and if it

623
00:33:04,080 --> 00:33:06,680
Speaker 1: doesn't you don't discover it within this amount of time,

624
00:33:07,040 --> 00:33:09,280
Speaker 1: then it's and it's probably not there. And if you

625
00:33:09,320 --> 00:33:12,160
Speaker 1: miss it, that's on you and eventually you're gonna be

626
00:33:12,160 --> 00:33:13,400
Speaker 1: held accountable for missing it.

627
00:33:14,040 --> 00:33:17,280
Speaker 2: Yeah, and that exactly, and actually that's part of my play.

628
00:33:17,320 --> 00:33:19,760
Speaker 2: I put up my my big housing plan on Mayhem

629
00:33:19,760 --> 00:33:22,560
Speaker 2: from California dot Com and it's my you know, fifteen

630
00:33:22,560 --> 00:33:25,760
Speaker 2: point plan for how we unbreak the housing market in California.

631
00:33:25,800 --> 00:33:31,000
Speaker 2: One of the fifteen points is to require that conforming

632
00:33:31,200 --> 00:33:36,080
Speaker 2: projects for infill, get that permit within the building permit

633
00:33:36,080 --> 00:33:37,160
Speaker 2: within thirty days.

634
00:33:37,040 --> 00:33:38,640
Speaker 1: And it just they're just going to get it. You

635
00:33:38,680 --> 00:33:41,160
Speaker 1: find out within thirty days, like you know, whatever it is,

636
00:33:41,200 --> 00:33:42,200
Speaker 1: so that you can move.

637
00:33:42,080 --> 00:33:45,560
Speaker 2: On, you know, Yeah, totally. I also think we're so

638
00:33:45,880 --> 00:33:49,320
Speaker 2: risk averse and worried about litigation. California is probably the

639
00:33:49,320 --> 00:33:53,120
Speaker 2: most litigious place on earth that we were scared of

640
00:33:53,120 --> 00:33:56,080
Speaker 2: ever making a mistake. I mean, I would rather that

641
00:33:56,120 --> 00:33:59,040
Speaker 2: we bias toward action when we have a crisis like

642
00:33:59,080 --> 00:34:02,560
Speaker 2: our shortage of housing and our affordability crisis that's pushing

643
00:34:02,640 --> 00:34:05,720
Speaker 2: working families to the brank, causing people to leave our state,

644
00:34:05,800 --> 00:34:09,480
Speaker 2: creating so much stress and heartache for folks. Let's buyas

645
00:34:09,520 --> 00:34:12,320
Speaker 2: toward action, particularly when you're in an urban area. Let's build.

646
00:34:13,280 --> 00:34:15,520
Speaker 1: Where are you look? One of the first places that

647
00:34:15,560 --> 00:34:20,120
Speaker 1: I learned about ad us Okay, these uh is San Jose,

648
00:34:20,320 --> 00:34:22,240
Speaker 1: I feel I guess you guys were on the cutting

649
00:34:22,320 --> 00:34:28,520
Speaker 1: edge of this. I'm of mixed minds on this. I

650
00:34:28,600 --> 00:34:31,719
Speaker 1: just think that that that I can see the I

651
00:34:31,760 --> 00:34:36,520
Speaker 1: could see the UH the immediate utility of it, and

652
00:34:36,800 --> 00:34:40,120
Speaker 1: the potential Like do we I think we need to

653
00:34:40,200 --> 00:34:43,319
Speaker 1: update our landlord laws. We need to update our There's

654
00:34:43,360 --> 00:34:47,440
Speaker 1: going to be some issues that come into play about Okay,

655
00:34:47,520 --> 00:34:49,920
Speaker 1: who's got access to a driveway, who's got access to

656
00:34:49,960 --> 00:34:50,520
Speaker 1: a yard?

657
00:34:50,680 --> 00:34:50,919
Speaker 2: Right?

658
00:34:51,960 --> 00:34:53,960
Speaker 1: Do you think we are we have enough up to

659
00:34:54,040 --> 00:34:57,919
Speaker 1: date laws to protect both tenants and owners here when

660
00:34:57,920 --> 00:34:58,960
Speaker 1: it comes to these ad us.

661
00:35:01,000 --> 00:35:03,680
Speaker 2: My sense is in California we do. I mean, I'm

662
00:35:03,719 --> 00:35:06,880
Speaker 2: always open to learning more and changing my opinion based

663
00:35:06,920 --> 00:35:10,000
Speaker 2: on real data. I mean, we have very strong renter

664
00:35:10,760 --> 00:35:12,040
Speaker 2: or tenant protections.

665
00:35:12,719 --> 00:35:15,759
Speaker 1: Some might argue though, that they're so strong that they're

666
00:35:15,800 --> 00:35:19,440
Speaker 1: anti owners, And yeah, you got to have a balance

667
00:35:19,480 --> 00:35:22,239
Speaker 1: here that that if you have a problem tenant and

668
00:35:22,360 --> 00:35:23,960
Speaker 1: you know it's going to take you three years to

669
00:35:24,000 --> 00:35:26,360
Speaker 1: deal with it, that's a big bols too far.

670
00:35:26,520 --> 00:35:28,960
Speaker 2: So then that's too much. Yeah, and I think particularly

671
00:35:29,000 --> 00:35:31,000
Speaker 2: so if it's a unit in your backyard. Now, a

672
00:35:31,000 --> 00:35:32,560
Speaker 2: lot of people who are a building a to use

673
00:35:32,680 --> 00:35:35,799
Speaker 2: or building them for family members. But I mean, I

674
00:35:35,840 --> 00:35:38,520
Speaker 2: hear you. I do think you know, just common sense wise,

675
00:35:38,600 --> 00:35:39,839
Speaker 2: we can go we can go look at the law

676
00:35:39,840 --> 00:35:42,920
Speaker 2: and the process and try to get better data on this.

677
00:35:43,080 --> 00:35:46,880
Speaker 2: But if you've built an accessory dwelling unit and an

678
00:35:46,920 --> 00:35:51,520
Speaker 2: in law unit, in your backyard and somebody's not paying

679
00:35:51,520 --> 00:35:54,000
Speaker 2: the rent or there being a bad actor, and this

680
00:35:54,080 --> 00:35:57,120
Speaker 2: is you know, your yard, your home, your primary residence.

681
00:35:57,600 --> 00:36:00,520
Speaker 2: I do think you need the ability to tell the

682
00:36:00,560 --> 00:36:03,480
Speaker 2: person that they that they've got to vacate the promise.

683
00:36:03,520 --> 00:36:05,840
Speaker 2: That being said, you need some kind of greatest period

684
00:36:05,840 --> 00:36:07,400
Speaker 2: for the person all to pack up and go. So,

685
00:36:07,640 --> 00:36:10,480
Speaker 2: you know, striking that balance again kind of what the

686
00:36:10,560 --> 00:36:13,319
Speaker 2: job of policymakers is. I will tell you though, in

687
00:36:13,360 --> 00:36:17,920
Speaker 2: a city like San Jose that is relatively suburban and sprawling,

688
00:36:17,920 --> 00:36:20,880
Speaker 2: and you've said, you've been here, it's it's you know,

689
00:36:21,080 --> 00:36:24,080
Speaker 2: a lot of single family home neighborhoods eighty years are

690
00:36:24,120 --> 00:36:28,880
Speaker 2: quite popular. In fact, twenty percent, yeah, twenty two percent

691
00:36:28,920 --> 00:36:31,160
Speaker 2: of the new housing built in San Jose every year

692
00:36:31,680 --> 00:36:36,160
Speaker 2: are as ad us. And they give people flexibility. They

693
00:36:36,200 --> 00:36:41,560
Speaker 2: can have a a family member, you have your grandparent

694
00:36:41,640 --> 00:36:44,080
Speaker 2: or your child returning from college who needs to save

695
00:36:44,200 --> 00:36:45,759
Speaker 2: up in order to be able to break into the

696
00:36:45,760 --> 00:36:49,360
Speaker 2: housing market. They can create income for folks. So that

697
00:36:49,480 --> 00:36:51,840
Speaker 2: flexibility has been really valuable to a lot of families,

698
00:36:51,840 --> 00:36:52,960
Speaker 2: and I think we should encourage it.

699
00:36:53,360 --> 00:36:55,680
Speaker 1: All right, let's talk about affordability, and I'm going to

700
00:36:56,800 --> 00:36:59,959
Speaker 1: ask probably a question that you may think as a gotcha,

701
00:37:00,080 --> 00:37:03,680
Speaker 1: it's not meant to be. Are taxes too high in California?

702
00:37:03,800 --> 00:37:06,319
Speaker 1: Are there too many taxes or taxes too high? Or

703
00:37:07,200 --> 00:37:11,920
Speaker 1: is hey it's California, welcome. You know, it's a privilege

704
00:37:11,960 --> 00:37:13,680
Speaker 1: to live here, and you know some things cost more.

705
00:37:15,800 --> 00:37:19,320
Speaker 2: Taxes are really are high. We have the second highest

706
00:37:19,360 --> 00:37:24,919
Speaker 2: taxes in the country. They are mostly very progressive, which

707
00:37:24,920 --> 00:37:27,560
Speaker 2: I support. Those who make more, earn more, do better

708
00:37:27,600 --> 00:37:29,880
Speaker 2: in society, should pay more back into the pot to

709
00:37:29,920 --> 00:37:32,839
Speaker 2: help everybody else. So I don't mind at all. In fact,

710
00:37:32,960 --> 00:37:34,600
Speaker 2: I very much support the fact that we have one

711
00:37:34,600 --> 00:37:38,400
Speaker 2: of the most progressive tax structures in the country. In fact,

712
00:37:39,040 --> 00:37:41,080
Speaker 2: the only I would say about that is it is

713
00:37:41,120 --> 00:37:43,360
Speaker 2: a bit of a risk and a vulnerability. Forty percent

714
00:37:43,400 --> 00:37:45,440
Speaker 2: of our inn we charge an income tax. It's a

715
00:37:45,480 --> 00:37:48,920
Speaker 2: major source of revenue for the state. Forty percent of

716
00:37:48,920 --> 00:37:51,640
Speaker 2: that revenue, sometimes up to fifty percent comes from the

717
00:37:51,680 --> 00:37:54,040
Speaker 2: top one percent of earners each year, so we are

718
00:37:54,160 --> 00:37:59,000
Speaker 2: very concentrated and vulnerable to capital flight because it's the

719
00:37:59,040 --> 00:38:01,560
Speaker 2: top earners who pay of the revenue. We also have

720
00:38:01,680 --> 00:38:05,400
Speaker 2: some of the oddly enough, some of the most regressive taxes,

721
00:38:05,440 --> 00:38:07,960
Speaker 2: and so if anything where I would look to maybe,

722
00:38:08,160 --> 00:38:10,920
Speaker 2: you know, modify things with something like our gas tax.

723
00:38:10,960 --> 00:38:14,200
Speaker 2: So wealthier folks are buying evs and are sort of

724
00:38:14,200 --> 00:38:16,319
Speaker 2: opting out of gas tax by doing that, and that's

725
00:38:16,360 --> 00:38:18,759
Speaker 2: a good thing. We want EV adoption, we want cleaner air,

726
00:38:18,840 --> 00:38:21,759
Speaker 2: I'm all for it. But what's happening by default is

727
00:38:22,560 --> 00:38:26,360
Speaker 2: those who can't afford evs and are still driving gas

728
00:38:26,400 --> 00:38:29,799
Speaker 2: powered vehicles and driving longer distances, which also happens to

729
00:38:29,840 --> 00:38:33,000
Speaker 2: correlate with lower income communities like the one I grew

730
00:38:33,080 --> 00:38:37,040
Speaker 2: up in. Rural communities in particular, are paying the disproportionate

731
00:38:37,120 --> 00:38:40,840
Speaker 2: share of the nation's highest gas taxes that go to

732
00:38:40,920 --> 00:38:44,480
Speaker 2: pay to maintaining the roads. So that needs to be

733
00:38:44,600 --> 00:38:47,240
Speaker 2: right sized. EV owners should be paying their fair share

734
00:38:47,320 --> 00:38:48,440
Speaker 2: to maintain the roads.

735
00:38:48,840 --> 00:38:50,920
Speaker 1: And what is the what is the calculation?

736
00:38:51,080 --> 00:38:51,239
Speaker 2: Now?

737
00:38:51,280 --> 00:38:55,799
Speaker 1: I remember, well, I remember about ten years fifteen years

738
00:38:55,840 --> 00:39:00,239
Speaker 1: ago now, the state of Oregon piloted a program that

739
00:39:00,280 --> 00:39:02,920
Speaker 1: would sort of get rid of that move from a

740
00:39:03,080 --> 00:39:07,680
Speaker 1: gas tax to a user basically road user fee. And

741
00:39:07,719 --> 00:39:10,239
Speaker 1: the idea was you would get charged per mile that

742
00:39:10,320 --> 00:39:14,399
Speaker 1: you used, and of course, the libertarian crowd went bonkers. Right,

743
00:39:14,440 --> 00:39:16,640
Speaker 1: what do you mean that's you know, privacy and all

744
00:39:16,680 --> 00:39:21,919
Speaker 1: this stuff. But I understood the the I understood the

745
00:39:21,920 --> 00:39:24,640
Speaker 1: the larger idea. Well, we've got to figure out not

746
00:39:24,719 --> 00:39:28,319
Speaker 1: everybody's going to be buying gas, So how do we

747
00:39:28,640 --> 00:39:30,840
Speaker 1: how do we do this? And I know you know

748
00:39:30,920 --> 00:39:34,200
Speaker 1: some states you get charged an annual fee if you're

749
00:39:34,200 --> 00:39:37,960
Speaker 1: an electric vehicle. That's this what what should what? What

750
00:39:38,120 --> 00:39:40,200
Speaker 1: is your plan to do this? How would you level

751
00:39:40,200 --> 00:39:41,080
Speaker 1: the playing field here?

752
00:39:41,280 --> 00:39:44,480
Speaker 2: Yeah, my preference would be just when it comes to

753
00:39:44,520 --> 00:39:47,759
Speaker 2: the road maintenance revenue that we that we just do

754
00:39:47,800 --> 00:39:50,480
Speaker 2: a per vehicle fee because a mileage tax is also

755
00:39:50,560 --> 00:39:52,080
Speaker 2: regressive like a gas tax.

756
00:39:52,280 --> 00:39:55,040
Speaker 1: It really what you just mentioned when you you know,

757
00:39:55,480 --> 00:39:57,920
Speaker 1: a working class person may have to drive more because

758
00:39:57,960 --> 00:39:59,400
Speaker 1: they're a side hustle or whatever.

759
00:39:59,680 --> 00:40:01,399
Speaker 2: I had a drive. I had to go about two

760
00:40:01,440 --> 00:40:03,520
Speaker 2: hours to get to a really good high school from

761
00:40:03,600 --> 00:40:05,440
Speaker 2: my little town, and my parents drove an hour and

762
00:40:05,480 --> 00:40:07,320
Speaker 2: a half the other direction to get to their jobs.

763
00:40:07,360 --> 00:40:09,520
Speaker 2: So I just I think a flat fee. Now we

764
00:40:09,560 --> 00:40:12,279
Speaker 2: do have a fee, we have a flat fee for evs,

765
00:40:12,560 --> 00:40:15,200
Speaker 2: but when you look at what's actually paid, it is

766
00:40:15,280 --> 00:40:18,000
Speaker 2: set way too low. Our ev owners are paying on

767
00:40:18,040 --> 00:40:21,240
Speaker 2: the order of one hundred dollars a year, our working

768
00:40:21,280 --> 00:40:24,399
Speaker 2: class families driving a gas powered vehicle or contributing over

769
00:40:24,480 --> 00:40:27,400
Speaker 2: three hundred per year to the So I would just

770
00:40:27,440 --> 00:40:29,839
Speaker 2: write size that. But look overall, let me answer your

771
00:40:29,880 --> 00:40:30,600
Speaker 2: bigger question on.

772
00:40:30,640 --> 00:40:34,080
Speaker 1: Text about the tax bill. Yeah, the average talipoint is.

773
00:40:34,760 --> 00:40:38,279
Speaker 2: It's it's high. We've also locked in a lot of

774
00:40:38,360 --> 00:40:42,239
Speaker 2: expenditures and commitments we have, we have pension liabilities, we

775
00:40:42,360 --> 00:40:45,960
Speaker 2: have a lot of infrastructure to maintain. My goal right

776
00:40:46,000 --> 00:40:49,719
Speaker 2: now is and as governor, my goal would not be

777
00:40:49,840 --> 00:40:53,239
Speaker 2: too would be explicitly not to raise or lower. Maybe

778
00:40:53,280 --> 00:40:54,840
Speaker 2: we can write size to deal with some of the

779
00:40:55,040 --> 00:40:58,160
Speaker 2: regressive taxation. My goal is to make sure we spend better.

780
00:40:58,400 --> 00:41:02,600
Speaker 2: I think we can get thirty percent more impact in

781
00:41:02,719 --> 00:41:06,160
Speaker 2: terms of outcomes out of the dollars we're spending. And

782
00:41:06,200 --> 00:41:09,799
Speaker 2: what I worry about in California is a complacency that

783
00:41:09,920 --> 00:41:15,080
Speaker 2: has set in where Sacramento, our state government is basically

784
00:41:15,640 --> 00:41:20,640
Speaker 2: captured by highly organized interests. We have single party rule,

785
00:41:20,719 --> 00:41:24,719
Speaker 2: my party. We have controlled every statewide office for fifteen

786
00:41:24,840 --> 00:41:29,200
Speaker 2: years now, a super majority in the legislature, the governor's office,

787
00:41:29,200 --> 00:41:32,759
Speaker 2: and so forth. And every year revenue is going up

788
00:41:32,920 --> 00:41:36,600
Speaker 2: far faster than population growth or average income, and we're

789
00:41:36,600 --> 00:41:39,440
Speaker 2: not getting better outcomes. I mean, we are literally spending

790
00:41:39,520 --> 00:41:42,400
Speaker 2: seventy five percent more than six years ago, and not

791
00:41:42,560 --> 00:41:45,399
Speaker 2: one outcome that matters is better. The housing costs are

792
00:41:45,440 --> 00:41:50,560
Speaker 2: as unaffordable as ever, second hized energy costs, highest unemployment rate,

793
00:41:50,640 --> 00:41:54,920
Speaker 2: highest poverty rate. So of our public schools are lagging

794
00:41:54,960 --> 00:42:00,160
Speaker 2: behind Mississippi and Louisiana and educating low income students. So

795
00:42:00,239 --> 00:42:04,319
Speaker 2: we just we have got to demand better before we

796
00:42:04,680 --> 00:42:06,719
Speaker 2: even think about asking people to pay more.

797
00:42:10,360 --> 00:42:12,680
Speaker 1: This episode of the Chuck Podcast is brought to you

798
00:42:12,719 --> 00:42:16,600
Speaker 1: by Wild Grain. Wild Grain is the first bake from

799
00:42:16,719 --> 00:42:21,600
Speaker 1: frozen subscription box for sour dough breads, arteisonal pastries, and

800
00:42:21,640 --> 00:42:25,080
Speaker 1: fresh pastas, plus all the items conveniently baked in twenty

801
00:42:25,160 --> 00:42:29,120
Speaker 1: five minutes or less. Unlike many store brought options, Wild

802
00:42:29,160 --> 00:42:32,200
Speaker 1: Grain uses some simple ingredients you can pronounce and a

803
00:42:32,400 --> 00:42:35,799
Speaker 1: slow fermentation process that can be a lot easier on

804
00:42:35,840 --> 00:42:38,400
Speaker 1: your belly little gut health there right, and richer in

805
00:42:38,520 --> 00:42:42,719
Speaker 1: nutrients aniy oxidants. There's also no preservatives and no shortcuts.

806
00:42:42,840 --> 00:42:45,880
Speaker 1: The Wild Grain boxes are fully customizable. In addition to

807
00:42:45,960 --> 00:42:48,400
Speaker 1: their variety box, they have a gluten free box, a

808
00:42:48,520 --> 00:42:52,359
Speaker 1: vegan box, and a new protein box. I will tell

809
00:42:52,440 --> 00:42:54,920
Speaker 1: you I have done the gluten free box. I have

810
00:42:55,000 --> 00:42:58,640
Speaker 1: done it a second time. I have also used the code,

811
00:42:58,840 --> 00:43:01,680
Speaker 1: the todcast code. If you use the promo code podcast

812
00:43:01,760 --> 00:43:05,439
Speaker 1: at checkout, you get thirty dollars off. I've already used

813
00:43:05,480 --> 00:43:09,040
Speaker 1: it as a gift to somebody else who loves this bread.

814
00:43:09,120 --> 00:43:11,719
Speaker 1: It is hard to find good gluten free bread. It

815
00:43:11,800 --> 00:43:15,319
Speaker 1: is fantastic. They give you step by step instructions. I

816
00:43:15,400 --> 00:43:19,200
Speaker 1: really dig this. There is nothing like having an artesion

817
00:43:19,360 --> 00:43:22,360
Speaker 1: bakery in your freezer to chase away the winter chill.

818
00:43:22,440 --> 00:43:24,680
Speaker 1: Now is the best time to stay in and enjoy

819
00:43:24,800 --> 00:43:29,560
Speaker 1: some comforting homemade meals with Wildgrain. I obviously highly recommend it.

820
00:43:29,560 --> 00:43:32,560
Speaker 1: It is worth giving Wildgreen to try. Right now, Wildgrain

821
00:43:32,640 --> 00:43:35,240
Speaker 1: is offering my listeners thirty dollars off your first box

822
00:43:35,400 --> 00:43:39,040
Speaker 1: plus free croissants for life. Come on when you go

823
00:43:39,120 --> 00:43:43,280
Speaker 1: to wildgrain dot com slash podcast to start your subscription today.

824
00:43:43,360 --> 00:43:46,680
Speaker 1: That's thirty dollars off your first box and free croissants

825
00:43:46,680 --> 00:43:50,000
Speaker 1: for life. When you visit wildgrain dot com slash podcast,

826
00:43:50,120 --> 00:43:53,960
Speaker 1: or simply use the promo code podcast at checkout. This

827
00:43:54,000 --> 00:43:59,920
Speaker 1: is a sponsor I absolutely embrace, so use that code.

828
00:44:01,040 --> 00:44:03,520
Speaker 1: There's some great pilot projects that they're doing down there.

829
00:44:03,640 --> 00:44:07,440
Speaker 1: Kim Barksdale, former founder of Netscape, for what it's worth,

830
00:44:08,200 --> 00:44:11,400
Speaker 1: has done some innovative work down there with phonics, with

831
00:44:11,520 --> 00:44:16,399
Speaker 1: teacher training. It is the young early reader stuff has

832
00:44:16,440 --> 00:44:20,320
Speaker 1: been terrific in Mississippi, Louisiana, Alabama. So definitely take a

833
00:44:20,360 --> 00:44:23,319
Speaker 1: look at that. Look there's I look again. I'm not

834
00:44:23,760 --> 00:44:26,759
Speaker 1: here to force a fight on the force a fight

835
00:44:26,800 --> 00:44:29,799
Speaker 1: on you and force you to criticize somebody. But that's

836
00:44:29,800 --> 00:44:34,600
Speaker 1: an iplicit criticism of the last two democratic governors a

837
00:44:34,680 --> 00:44:37,439
Speaker 1: little bit or certainly democratic governance. So let me ask

838
00:44:37,440 --> 00:44:39,839
Speaker 1: you this on Gaven Newsom, what's he gotten right and

839
00:44:39,880 --> 00:44:40,799
Speaker 1: what's he gotten wrong?

840
00:44:43,280 --> 00:44:46,839
Speaker 2: But I think what the governor has understood and been

841
00:44:46,880 --> 00:44:51,040
Speaker 2: willing to push on is in certain areas that we

842
00:44:51,160 --> 00:44:53,640
Speaker 2: need we need reform, and he's laid some of the groundwork.

843
00:44:53,680 --> 00:44:55,680
Speaker 2: And so let me tell you all, I want to

844
00:44:55,719 --> 00:44:58,680
Speaker 2: just be sure to give him give him credit on education.

845
00:44:58,760 --> 00:45:02,080
Speaker 2: There's a lack of accountability. He's proposed that we align

846
00:45:02,120 --> 00:45:04,399
Speaker 2: accountability all the way up to the governor's office. Right now,

847
00:45:04,400 --> 00:45:08,440
Speaker 2: we have a separate superintendent of schools statewide who's elected

848
00:45:08,440 --> 00:45:11,319
Speaker 2: and runs the Department of Education. The governor does not

849
00:45:11,400 --> 00:45:14,759
Speaker 2: have executive authority over the education department. Huge problem. We're

850
00:45:14,760 --> 00:45:17,160
Speaker 2: one of just a dozen states who has that structure.

851
00:45:17,200 --> 00:45:19,080
Speaker 1: Would you like to get rid of the elected state

852
00:45:19,120 --> 00:45:21,600
Speaker 1: public school instructor? Do you think that that's an office

853
00:45:21,640 --> 00:45:23,360
Speaker 1: that probably shouldn't be an elected position.

854
00:45:24,200 --> 00:45:27,320
Speaker 2: I don't know that it matters as long as basically

855
00:45:27,320 --> 00:45:30,319
Speaker 2: what Governor Newsom has proposed, which I agree with, is

856
00:45:30,440 --> 00:45:34,680
Speaker 2: keep the office, but have it be a sort of watchdog,

857
00:45:34,920 --> 00:45:38,080
Speaker 2: umbudsman and advocate for parents. Don't have it be the

858
00:45:38,160 --> 00:45:40,080
Speaker 2: executive authority over an entire or.

859
00:45:40,000 --> 00:45:42,520
Speaker 1: Like a comptroller, more like the way a comptroller works

860
00:45:42,560 --> 00:45:44,120
Speaker 1: with finances right here.

861
00:45:44,640 --> 00:45:47,440
Speaker 2: Monitor the spending, to be the advocate for the parents

862
00:45:47,440 --> 00:45:50,120
Speaker 2: and students. But the governor is the chief executive of

863
00:45:50,160 --> 00:45:52,440
Speaker 2: the state and the Department of Education on a report

864
00:45:52,520 --> 00:45:55,720
Speaker 2: directly up into the governor. So that's one I totally

865
00:45:55,760 --> 00:45:58,600
Speaker 2: agree with. He sees the need for reform there. On housing,

866
00:45:58,680 --> 00:46:01,560
Speaker 2: we talked earlier. The govern and I are completely aligned

867
00:46:01,560 --> 00:46:04,719
Speaker 2: on the importance of interim solutions. In fact, it's his

868
00:46:04,800 --> 00:46:08,640
Speaker 2: state budgets that have helped fund the solutions that we've

869
00:46:08,719 --> 00:46:11,200
Speaker 2: championed in San Jose. Now we've done it faster, better,

870
00:46:11,320 --> 00:46:13,680
Speaker 2: more cost effectively than any other city in the state.

871
00:46:14,120 --> 00:46:18,600
Speaker 2: But we're aligned there. He also recognizes the need for

872
00:46:18,800 --> 00:46:23,040
Speaker 2: an alternative on treatment for addiction for mental health, put

873
00:46:23,040 --> 00:46:27,800
Speaker 2: forward things like care Court Proposition one, which expands treatment beds.

874
00:46:30,360 --> 00:46:33,319
Speaker 2: The area where I think we differ is I am

875
00:46:33,760 --> 00:46:39,640
Speaker 2: very I'm very execution focused, and I have been willing

876
00:46:39,680 --> 00:46:43,440
Speaker 2: to take on members of my own party highly organized

877
00:46:43,480 --> 00:46:46,160
Speaker 2: interests in some cases disagree with the governor, the most

878
00:46:46,320 --> 00:46:49,880
Speaker 2: prominent example being Prop. Thirty six, where I believe that

879
00:46:49,920 --> 00:46:54,239
Speaker 2: if someone is repeatedly committing crime due to addiction, at

880
00:46:54,280 --> 00:46:57,760
Speaker 2: some point they should be given a clear choice between

881
00:46:57,800 --> 00:47:00,960
Speaker 2: treatment and jail. And that was an area where he

882
00:47:01,040 --> 00:47:05,280
Speaker 2: and I just just fundamentally disagreed. That's a philosophic difference.

883
00:47:05,600 --> 00:47:07,640
Speaker 2: I've had a family member who spent time on the

884
00:47:07,640 --> 00:47:09,640
Speaker 2: streets with addictions, so I maybe just have a different

885
00:47:09,719 --> 00:47:12,560
Speaker 2: perspective on the level of intervention that's needed to save

886
00:47:12,640 --> 00:47:17,759
Speaker 2: someone's life. But look, I think he's had a lot

887
00:47:17,760 --> 00:47:20,400
Speaker 2: of the right directionally, a lot of the right ideas

888
00:47:20,960 --> 00:47:25,160
Speaker 2: My focus, though, it will be on following through and

889
00:47:25,200 --> 00:47:28,600
Speaker 2: making sure people actually use care, court actually implement Prop

890
00:47:28,640 --> 00:47:32,160
Speaker 2: thirty six, build those beds and were when our execution

891
00:47:32,400 --> 00:47:35,360
Speaker 2: is bad, when we're too slow and too expensive to

892
00:47:35,440 --> 00:47:38,480
Speaker 2: execute a good idea, we have to be willing to

893
00:47:38,520 --> 00:47:40,879
Speaker 2: do something I haven't seen anyone in Sacramento do enough

894
00:47:40,880 --> 00:47:45,680
Speaker 2: of in recent years, which is take on the interest groups,

895
00:47:45,719 --> 00:47:49,600
Speaker 2: the highly organized interests, from trial lawyers to public sector

896
00:47:49,680 --> 00:47:53,040
Speaker 2: unions to corporate interests who have a veto right now

897
00:47:53,040 --> 00:47:55,399
Speaker 2: in Sacramento, and this is kind of becoming the case

898
00:47:55,440 --> 00:47:59,160
Speaker 2: in our democracy everywhere. Highly organized interests have a veto

899
00:47:59,239 --> 00:48:02,280
Speaker 2: overchange because they're so organized and they don't want anything

900
00:48:02,320 --> 00:48:04,520
Speaker 2: to change. They want to protect a status quo that

901
00:48:04,600 --> 00:48:08,320
Speaker 2: protects them. So it's it's the vetoocracy that I'm worried about,

902
00:48:08,640 --> 00:48:10,600
Speaker 2: and I just haven't seen anybody want to challenge that

903
00:48:10,640 --> 00:48:11,600
Speaker 2: because it's painful.

904
00:48:12,400 --> 00:48:16,480
Speaker 1: How much do you think the governor's been stifled by

905
00:48:17,320 --> 00:48:19,759
Speaker 1: a by the super majority in the legislature.

906
00:48:22,960 --> 00:48:26,840
Speaker 2: Well it doesn't help. But look, I'm as a as

907
00:48:27,000 --> 00:48:30,160
Speaker 2: you know, my own, my own person a different, everybody is,

908
00:48:30,239 --> 00:48:35,879
Speaker 2: everybody's different. I would be more active in putting legislators

909
00:48:35,960 --> 00:48:41,400
Speaker 2: on the spot and demanding results, and getting behind candidates

910
00:48:42,320 --> 00:48:46,640
Speaker 2: for the legislature who reflected a common sense problem solving mentality.

911
00:48:46,680 --> 00:48:48,400
Speaker 1: And so if you get elect the governor, you're going

912
00:48:48,440 --> 00:48:53,000
Speaker 1: to be a little more active in state legislative races,

913
00:48:53,160 --> 00:48:54,280
Speaker 1: both Assembly and Senate.

914
00:48:54,560 --> 00:48:59,279
Speaker 2: I think we need we need a significant change in

915
00:48:59,320 --> 00:49:03,360
Speaker 2: the political culture of California, one that is that is

916
00:49:03,400 --> 00:49:06,800
Speaker 2: really centered on accountability for outcomes. I say this because

917
00:49:06,840 --> 00:49:09,600
Speaker 2: this has been my experience as mayor of San Jose,

918
00:49:10,520 --> 00:49:14,560
Speaker 2: where I have had to overcome the objections of highly

919
00:49:14,640 --> 00:49:17,440
Speaker 2: organized interests who liked the city budget being spent the

920
00:49:17,440 --> 00:49:19,600
Speaker 2: way that it was spent. I've had to overcome the

921
00:49:19,680 --> 00:49:25,239
Speaker 2: opposition of colleagues on my city council who also were

922
00:49:25,320 --> 00:49:27,759
Speaker 2: wedded to the same old way of doing things. And

923
00:49:27,840 --> 00:49:30,359
Speaker 2: if you want to create change, it should always be

924
00:49:30,480 --> 00:49:34,080
Speaker 2: rooted in, you know, solid core values and a clear

925
00:49:34,120 --> 00:49:36,440
Speaker 2: sense of where you're trying to go. But you have

926
00:49:36,520 --> 00:49:40,360
Speaker 2: to be willing to take on the big fights. And

927
00:49:40,440 --> 00:49:43,960
Speaker 2: our inability to take on the big fights and solve

928
00:49:43,960 --> 00:49:47,640
Speaker 2: our problems despite spending more and more, is frankly giving

929
00:49:47,840 --> 00:49:52,440
Speaker 2: a lot of ammunition to the MAGA movement to a

930
00:49:52,560 --> 00:49:56,440
Speaker 2: president that thinks that might makes right. We are you know,

931
00:49:56,480 --> 00:49:59,480
Speaker 2: we talk about being the resistance and pushing back and

932
00:49:59,520 --> 00:50:04,719
Speaker 2: fighting against trump Ism, and yet we're not minding the

933
00:50:05,000 --> 00:50:07,439
Speaker 2: store here. If we don't fix our problems and show

934
00:50:07,480 --> 00:50:12,000
Speaker 2: that our values actually deliver results for working people in practice,

935
00:50:12,280 --> 00:50:14,520
Speaker 2: we don't have any credibility.

936
00:50:15,800 --> 00:50:19,279
Speaker 1: The best way, the best case against MAGA movement or

937
00:50:19,320 --> 00:50:21,160
Speaker 1: trump Ism is governance.

938
00:50:22,000 --> 00:50:25,640
Speaker 2: The best resistence, Yeah, the best resistance is results. Yeah.

939
00:50:25,840 --> 00:50:30,480
Speaker 1: No, I uh, as somebody who considers themselves an incrementalist

940
00:50:30,560 --> 00:50:33,799
Speaker 1: and a pragmatist. That's you know, I understand. I understand

941
00:50:34,640 --> 00:50:38,720
Speaker 1: the passionate frustration that's out there in in some forms

942
00:50:38,719 --> 00:50:41,040
Speaker 1: of MAGA movement, not every you know, there's some that

943
00:50:41,080 --> 00:50:43,560
Speaker 1: are there for their own reasons, but there are others

944
00:50:43,560 --> 00:50:47,080
Speaker 1: that are frustrated with the system. Hey, you know, there's

945
00:50:47,080 --> 00:50:48,880
Speaker 1: a lot of people that I think find themselves in

946
00:50:48,920 --> 00:50:51,200
Speaker 1: that camp. All right, I mean, let's land the plane here.

947
00:50:51,480 --> 00:50:54,799
Speaker 1: Let's talk about the elephant in the room or the

948
00:50:54,840 --> 00:50:58,680
Speaker 1: donkeys in the room, and the math problem that the

949
00:50:58,840 --> 00:51:03,680
Speaker 1: jungle primary is creating the pressure that I'm sure you're feeling.

950
00:51:04,280 --> 00:51:08,359
Speaker 1: Many Democratic candidates running for governor feeling because you've got

951
00:51:08,400 --> 00:51:11,640
Speaker 1: two Republicans who both have just enough traction that the

952
00:51:11,840 --> 00:51:14,640
Speaker 1: likelihood they could take the two slots be one two

953
00:51:15,200 --> 00:51:17,920
Speaker 1: and end up being you know, it's Steve Hilton and

954
00:51:18,040 --> 00:51:21,319
Speaker 1: Chad Biaco, right, and there's you know, this might be

955
00:51:21,360 --> 00:51:24,240
Speaker 1: only forty percent of the state once a Republican. Sixty

956
00:51:24,280 --> 00:51:26,759
Speaker 1: percent may want a Democrat, but their choice may not

957
00:51:26,840 --> 00:51:30,400
Speaker 1: be on the ballot because of so many Democrats splitting

958
00:51:30,440 --> 00:51:34,719
Speaker 1: the vote. How much of a concern is this to

959
00:51:34,800 --> 00:51:38,080
Speaker 1: you and how mindful of you are of this?

960
00:51:40,280 --> 00:51:42,760
Speaker 2: You know, Jeaque, to be honest with you, I am

961
00:51:42,800 --> 00:51:45,120
Speaker 2: not that concerned about I think there's been a lot

962
00:51:45,160 --> 00:51:47,560
Speaker 2: of inks filled on this. I think it is overblown.

963
00:51:47,680 --> 00:51:49,960
Speaker 2: Most voters are not paying attention to yet. People are

964
00:51:49,960 --> 00:51:52,880
Speaker 2: busy doing their jobs, paying their bills, raising their kids.

965
00:51:53,239 --> 00:51:56,880
Speaker 2: As voters start to tune in, you will see some consolidation.

966
00:51:57,040 --> 00:52:03,920
Speaker 2: Right now, undecided is beating everyone, and it's overwhelmingly Democratic

967
00:52:03,960 --> 00:52:08,879
Speaker 2: and independent voters who were undecided. When Republicans see name

968
00:52:09,280 --> 00:52:11,480
Speaker 2: the name on the ballot with Republican next to it

969
00:52:11,480 --> 00:52:13,520
Speaker 2: in a state where they haven't won statewide office in

970
00:52:13,560 --> 00:52:15,399
Speaker 2: fifteen years, they say, yeah, I like that guy. Who's

971
00:52:15,400 --> 00:52:19,560
Speaker 2: a Republican. So we have a lot of time for

972
00:52:20,360 --> 00:52:24,759
Speaker 2: this field to consolidate. And I jumped in because no

973
00:52:24,800 --> 00:52:28,960
Speaker 2: one was saying what's wrong with the state of California.

974
00:52:29,000 --> 00:52:32,200
Speaker 2: Everybody in my party wants to simply blame somebody else

975
00:52:32,239 --> 00:52:34,680
Speaker 2: for the problem. And I think as Democrats, we have

976
00:52:34,719 --> 00:52:37,680
Speaker 2: to remember that the best resistance is delivering results, and

977
00:52:37,680 --> 00:52:41,720
Speaker 2: we have to take ownership of our public policy shortcomings

978
00:52:42,040 --> 00:52:46,960
Speaker 2: and be really honest with voters that we can do better.

979
00:52:46,960 --> 00:52:48,879
Speaker 2: But it's going to mean taking on the interest within

980
00:52:48,920 --> 00:52:51,400
Speaker 2: our own party. It's going to mean changing things in

981
00:52:51,400 --> 00:52:54,040
Speaker 2: a way that won't always be popular. And so I

982
00:52:54,239 --> 00:52:57,400
Speaker 2: just I think I thought it was critically important to

983
00:52:57,400 --> 00:52:59,520
Speaker 2: get into this race to speak to all of those

984
00:52:59,600 --> 00:53:03,880
Speaker 2: undisc and disillusioned voters. There has been very low enthusiasm

985
00:53:04,200 --> 00:53:06,400
Speaker 2: for the field up until now. People are now starting

986
00:53:06,400 --> 00:53:09,239
Speaker 2: to tune in and I'm saying something very different, and

987
00:53:09,239 --> 00:53:10,759
Speaker 2: I think what you're going to see as we march

988
00:53:10,880 --> 00:53:14,239
Speaker 2: toward election day is people hear that message. I think

989
00:53:14,239 --> 00:53:16,240
Speaker 2: it's going to resonate. I'm seeing that as I travel

990
00:53:16,239 --> 00:53:18,440
Speaker 2: around the state. I was down on the border, you know,

991
00:53:18,480 --> 00:53:21,320
Speaker 2: looking at the crisis of Ross sewage flowing into the

992
00:53:21,360 --> 00:53:23,759
Speaker 2: country through the two on a river, I walked a

993
00:53:23,800 --> 00:53:26,520
Speaker 2: skid row and we talked about the failures on homelessness,

994
00:53:26,520 --> 00:53:29,799
Speaker 2: Alta Dina and the Palisades, and our issues with how

995
00:53:29,840 --> 00:53:32,200
Speaker 2: slow and expensive it is to build housing. As we

996
00:53:32,239 --> 00:53:34,240
Speaker 2: go around the state and talk to people about what's

997
00:53:34,239 --> 00:53:36,960
Speaker 2: broken and why and how to fix it, we're getting

998
00:53:36,960 --> 00:53:41,040
Speaker 2: an enthusiastic response. My biggest challenge is most California still

999
00:53:41,040 --> 00:53:42,759
Speaker 2: don't know who I am. So thank you for latering

1000
00:53:42,800 --> 00:53:43,360
Speaker 2: me on the show.

1001
00:53:43,400 --> 00:53:47,560
Speaker 1: Now I get it, But you're doing something that's quite difficult,

1002
00:53:47,640 --> 00:53:51,240
Speaker 1: which is to run from a merit one, a singular

1003
00:53:51,239 --> 00:53:54,120
Speaker 1: mayor seat right anytime. I mean, it's just only only

1004
00:53:54,160 --> 00:53:57,080
Speaker 1: thing harder, I would argue is congressional is running from

1005
00:53:57,080 --> 00:54:00,560
Speaker 1: a congressional seat. But let me let me ask it.

1006
00:54:00,920 --> 00:54:03,839
Speaker 1: Let me ask you this. You know you're you're look

1007
00:54:03,880 --> 00:54:07,320
Speaker 1: I'm somebody. I'm I'm I think both parties are broken.

1008
00:54:08,120 --> 00:54:11,080
Speaker 1: I'm somebody who thinks that. Frankly, the only way they're

1009
00:54:11,080 --> 00:54:16,520
Speaker 1: going to fix themselves is if they if an independent

1010
00:54:16,560 --> 00:54:18,440
Speaker 1: of some sort or for a movement of some sort

1011
00:54:18,440 --> 00:54:20,200
Speaker 1: of sort of you know, voters demand it. There's a

1012
00:54:20,239 --> 00:54:23,279
Speaker 1: reason why the fastest growing party is no party? And

1013
00:54:23,320 --> 00:54:24,880
Speaker 1: I don't care what state in the Union you go to.

1014
00:54:25,320 --> 00:54:28,120
Speaker 1: California is no exception, particularly with voters under the age

1015
00:54:28,120 --> 00:54:33,040
Speaker 1: of thirty, you know. And to me, it's pretty logical, right,

1016
00:54:33,080 --> 00:54:35,560
Speaker 1: they've watched this, they've grown up in this polarized environment,

1017
00:54:35,600 --> 00:54:37,640
Speaker 1: and they're like, neither party seems to want to solve

1018
00:54:37,680 --> 00:54:41,360
Speaker 1: a problem. They're just reaction being They're just reactionary politics.

1019
00:54:42,280 --> 00:54:44,040
Speaker 1: Why are you staying? Why did you stay as a Democrat?

1020
00:54:44,080 --> 00:54:46,200
Speaker 1: You could have run a no party candidate, and in

1021
00:54:46,239 --> 00:54:49,799
Speaker 1: some ways you are advocating for me. It sounds like

1022
00:54:50,040 --> 00:54:53,600
Speaker 1: a sort of more independent you know. Maybe it's small

1023
00:54:53,640 --> 00:54:58,640
Speaker 1: I capital D is what you're going for. But why

1024
00:54:58,920 --> 00:55:01,880
Speaker 1: you know that the D next to your name? Some

1025
00:55:01,920 --> 00:55:05,320
Speaker 1: people who want change will think, well, we've had democratic

1026
00:55:05,320 --> 00:55:08,520
Speaker 1: governor sixteen years in a row now, which is I'm

1027
00:55:08,520 --> 00:55:11,680
Speaker 1: trying to the last time California went longer than that.

1028
00:55:12,160 --> 00:55:14,600
Speaker 1: I think you have to go back to the thirties.

1029
00:55:18,000 --> 00:55:20,000
Speaker 1: Do you worry that the D next to your name

1030
00:55:20,080 --> 00:55:22,000
Speaker 1: is not going to indicate to voters that you're a

1031
00:55:22,080 --> 00:55:22,760
Speaker 1: change candidate.

1032
00:55:24,560 --> 00:55:29,640
Speaker 2: Look, I'm a different kind of Democrat who reserves the

1033
00:55:29,760 --> 00:55:34,400
Speaker 2: right to think. You think for myself, be independent in

1034
00:55:34,440 --> 00:55:38,399
Speaker 2: my thinking about policy issues and solutions. But I still

1035
00:55:38,440 --> 00:55:42,480
Speaker 2: believe the Democratic Party is fixable. I grew up in

1036
00:55:42,520 --> 00:55:48,160
Speaker 2: a party whose core values I deeply identify with. I

1037
00:55:48,160 --> 00:55:51,799
Speaker 2: grew up in a working class community where you know,

1038
00:55:51,960 --> 00:55:55,080
Speaker 2: my folks and most people we lived around were generally

1039
00:55:55,080 --> 00:55:58,360
Speaker 2: paycheck to paycheck. And when the party gets back to

1040
00:55:58,440 --> 00:56:01,760
Speaker 2: its roots and gets back to sault problems, we expand

1041
00:56:01,800 --> 00:56:07,120
Speaker 2: opportunity for people. We create better schools, we build infrastructure,

1042
00:56:07,239 --> 00:56:09,879
Speaker 2: We make sure the economy is inclusive and that people

1043
00:56:09,960 --> 00:56:12,720
Speaker 2: don't get left behind. We make sure people have access

1044
00:56:12,760 --> 00:56:18,799
Speaker 2: to healthcare. But we need to upgrade the platform because

1045
00:56:18,960 --> 00:56:20,680
Speaker 2: we're still trying to do things the way we did

1046
00:56:20,680 --> 00:56:23,320
Speaker 2: in the twentieth century, where the answer to every problem

1047
00:56:23,480 --> 00:56:26,360
Speaker 2: is if we just have more tax revenue and more programs,

1048
00:56:26,400 --> 00:56:28,439
Speaker 2: we're going to fix it. And at some point we've

1049
00:56:28,440 --> 00:56:32,719
Speaker 2: got to make government smarter, more responsive, more efficient. We're

1050
00:56:32,760 --> 00:56:35,319
Speaker 2: the party that needs government to work. We believe in

1051
00:56:35,400 --> 00:56:38,200
Speaker 2: government as a force for good. That's why I'm a Democrat.

1052
00:56:39,120 --> 00:56:41,680
Speaker 2: My sense is, you know, many of the folks on

1053
00:56:41,719 --> 00:56:44,520
Speaker 2: the other side of the aisle, if you will, are

1054
00:56:45,120 --> 00:56:47,799
Speaker 2: more interested in just kind of hobbling and shrinking and

1055
00:56:47,840 --> 00:56:51,080
Speaker 2: making government as fall as it can be. And that's

1056
00:56:51,160 --> 00:56:55,560
Speaker 2: kind of an endless debate. But for where I'm at,

1057
00:56:56,280 --> 00:56:59,640
Speaker 2: it's not about making government smaller or Bigger's especially in

1058
00:56:59,640 --> 00:57:01,520
Speaker 2: a state with a very high tax burn we have

1059
00:57:01,600 --> 00:57:05,319
Speaker 2: in California, Let's give people value for their dollars. Let's

1060
00:57:05,320 --> 00:57:09,359
Speaker 2: make sure we're making people's lives better. So I just, yeah,

1061
00:57:09,400 --> 00:57:12,719
Speaker 2: I grew up in the Democratic Party. I believe in

1062
00:57:12,760 --> 00:57:16,120
Speaker 2: the core values. I think the party is salvageable. But

1063
00:57:16,400 --> 00:57:18,760
Speaker 2: I'm running as a different kind of Democrat to try

1064
00:57:18,760 --> 00:57:21,000
Speaker 2: to make the case for a different kind of politics,

1065
00:57:21,480 --> 00:57:24,000
Speaker 2: whereas by opponents in the race are kind of offering

1066
00:57:24,040 --> 00:57:24,600
Speaker 2: more of the same.

1067
00:57:25,080 --> 00:57:27,680
Speaker 1: No, they only think, look, I get what you're trying

1068
00:57:27,720 --> 00:57:30,480
Speaker 1: to do, And my skepticism is not about what you're

1069
00:57:30,480 --> 00:57:33,560
Speaker 1: trying to do. My skepticism is in the voters. Meaning

1070
00:57:33,640 --> 00:57:38,000
Speaker 1: voters right now are very in the moment, particularly Democratic voters,

1071
00:57:38,040 --> 00:57:43,000
Speaker 1: and they're very frustrated with the current presidential administration, and

1072
00:57:43,040 --> 00:57:47,400
Speaker 1: in many ways, right that's the you know, and they

1073
00:57:47,440 --> 00:57:52,600
Speaker 1: gravitate towards the resistance warriors, particularly in a campaign. You know,

1074
00:57:52,760 --> 00:57:54,919
Speaker 1: I think if you put them in a focus group.

1075
00:57:54,960 --> 00:57:56,880
Speaker 1: A lot of them would agree with many of the

1076
00:57:56,920 --> 00:57:59,640
Speaker 1: premises you're saying, But you know, sometimes this is more

1077
00:57:59,680 --> 00:58:05,960
Speaker 1: emotional than intellectually. That's your challenge. Do you think you're

1078
00:58:06,000 --> 00:58:10,000
Speaker 1: going to be Do you think that you're not that

1079
00:58:10,120 --> 00:58:14,200
Speaker 1: you could come up short because you don't bash Trump enough.

1080
00:58:16,400 --> 00:58:19,120
Speaker 2: I have a lot of faith in the common sense

1081
00:58:19,320 --> 00:58:22,680
Speaker 2: of the voters of the people of California. I've knocked

1082
00:58:22,720 --> 00:58:26,320
Speaker 2: on well over ten thousand doors. I have spoken with

1083
00:58:26,840 --> 00:58:30,360
Speaker 2: tens of thousands of people over my six years now

1084
00:58:30,400 --> 00:58:35,240
Speaker 2: in public life, and I think when people start to

1085
00:58:35,280 --> 00:58:37,920
Speaker 2: tune into this race, hear what the candidates have to say.

1086
00:58:38,840 --> 00:58:44,120
Speaker 2: I think people's common sense intuition on this is that, yes,

1087
00:58:44,360 --> 00:58:47,080
Speaker 2: we want to elect a Democrat who's going to fight

1088
00:58:47,120 --> 00:58:50,160
Speaker 2: for our values nationally, somebody who understands that Trump is

1089
00:58:50,160 --> 00:58:53,040
Speaker 2: an existential threat to our values in our way of life,

1090
00:58:53,080 --> 00:58:55,200
Speaker 2: and we need to fight through the courts and through

1091
00:58:55,200 --> 00:58:58,320
Speaker 2: the bully pulpit and do everything we can to offer

1092
00:58:58,360 --> 00:59:02,560
Speaker 2: an alternative think they understand. I think this is actually

1093
00:59:02,560 --> 00:59:07,360
Speaker 2: true across Democrats, Independence and moderate Republicans that in California,

1094
00:59:08,160 --> 00:59:11,240
Speaker 2: for most of our challenges around public schools, housing, costs,

1095
00:59:11,320 --> 00:59:13,600
Speaker 2: energy costs. We can't blame anybody else. We need to

1096
00:59:13,640 --> 00:59:17,040
Speaker 2: take ownership of our mistakes. We need to take control

1097
00:59:17,080 --> 00:59:19,920
Speaker 2: of our own destiny, and we need to solve our

1098
00:59:20,000 --> 00:59:24,640
Speaker 2: problems because that's actually the best counter to this populist,

1099
00:59:24,680 --> 00:59:27,200
Speaker 2: authoritarian strain in our politics.

1100
00:59:28,160 --> 00:59:30,280
Speaker 1: And I I'd be remiss if I didn't ask you

1101
00:59:30,280 --> 00:59:33,360
Speaker 1: about the so called wealth tax. I'm given your answer

1102
00:59:33,400 --> 00:59:35,920
Speaker 1: you gave to me earlier about how the income how

1103
00:59:36,720 --> 00:59:40,520
Speaker 1: much of the income tax revenue comes from a very

1104
00:59:40,560 --> 00:59:44,160
Speaker 1: tiny percentage of Californians. I'm guessing I have an idea

1105
00:59:44,160 --> 00:59:46,320
Speaker 1: of where you are in the wealth taxt, but I'll

1106
00:59:46,360 --> 00:59:47,440
Speaker 1: let you articulated.

1107
00:59:48,640 --> 00:59:51,120
Speaker 2: Yeah, my view of it is there are a number

1108
00:59:51,120 --> 00:59:53,480
Speaker 2: of other things we should be doing to make the

1109
00:59:53,520 --> 00:59:56,640
Speaker 2: tax code fairer and to make sure that the wealthiest

1110
00:59:56,760 --> 00:59:59,720
Speaker 2: amongst us pay their fair share. And as you've heard

1111
00:59:59,720 --> 01:00:04,800
Speaker 2: on about regressive taxation, income inequality, and opportunity gaps, that's

1112
01:00:04,840 --> 01:00:07,920
Speaker 2: been kind of my whole career is thinking about those issues.

1113
01:00:08,400 --> 01:00:13,800
Speaker 2: I am not supportive of the wealth tax specifically because

1114
01:00:13,920 --> 01:00:16,000
Speaker 2: I don't think it'll work, and I think it will

1115
01:00:16,040 --> 01:00:22,560
Speaker 2: actually ultimately burden middle class and working families in California

1116
01:00:22,640 --> 01:00:25,200
Speaker 2: because billionaires aren't going to pay this tax. Half of

1117
01:00:25,200 --> 01:00:27,440
Speaker 2: them have already left the state. Since it's been proposed,

1118
01:00:27,440 --> 01:00:29,880
Speaker 2: we've seen over a trillion dollars in a capital flight.

1119
01:00:30,160 --> 01:00:34,680
Speaker 2: I'm interested in what works, and what works in this

1120
01:00:34,880 --> 01:00:37,440
Speaker 2: case is and I know it's harder, but if we're

1121
01:00:37,480 --> 01:00:40,040
Speaker 2: going to be intellectually honest about this, we need to

1122
01:00:40,080 --> 01:00:42,960
Speaker 2: fight at the federal level over things like what should

1123
01:00:42,960 --> 01:00:46,000
Speaker 2: the capital gains tax rate be. I don't believe you

1124
01:00:46,000 --> 01:00:50,320
Speaker 2: should be able to borrow endlessly against your appreciated assets

1125
01:00:50,320 --> 01:00:52,400
Speaker 2: and never have to pay a capital gain. That's a

1126
01:00:52,480 --> 01:00:55,360
Speaker 2: huge loophole. I don't believe Elon Mushold able to pass

1127
01:00:55,400 --> 01:00:58,640
Speaker 2: five hundred billion dollars worth of appreciated stock onto his kids,

1128
01:00:58,920 --> 01:01:02,280
Speaker 2: have it rebased market rate. The day that they inherit it,

1129
01:01:02,280 --> 01:01:03,800
Speaker 2: they can turn around and sell it and pay no

1130
01:01:03,880 --> 01:01:06,560
Speaker 2: capital gains. That's wrong. So there's a lot we can

1131
01:01:06,640 --> 01:01:11,000
Speaker 2: do to deal with the wealth inequality in this country,

1132
01:01:11,440 --> 01:01:15,040
Speaker 2: but a wealth tax targeting two hundred people in one

1133
01:01:15,200 --> 01:01:18,680
Speaker 2: state is doomed to backfire and mean higher costs for

1134
01:01:18,720 --> 01:01:19,800
Speaker 2: middle class families.

1135
01:01:20,400 --> 01:01:22,320
Speaker 1: There are a lots of Democrats that are against this,

1136
01:01:22,400 --> 01:01:25,320
Speaker 1: but it feels nobody wants to be on the side

1137
01:01:25,320 --> 01:01:28,040
Speaker 1: of defending billionaires, but you're making I mean, there's there's

1138
01:01:28,080 --> 01:01:29,320
Speaker 1: just a fiscal I get.

1139
01:01:29,040 --> 01:01:32,000
Speaker 2: It about defending the billionaires, though, It's just like I mean,

1140
01:01:32,000 --> 01:01:34,480
Speaker 2: you have to think about the second order effects things

1141
01:01:34,760 --> 01:01:36,480
Speaker 2: and the truth is I mean again, we've got to

1142
01:01:36,520 --> 01:01:39,040
Speaker 2: be honest with people and trust that people. You know,

1143
01:01:39,160 --> 01:01:41,480
Speaker 2: people are smart. People will get it. They will if

1144
01:01:41,520 --> 01:01:44,280
Speaker 2: you are if you respect them enough to tell them

1145
01:01:44,320 --> 01:01:47,320
Speaker 2: the truth. I think you, over time breakthrough and people

1146
01:01:47,360 --> 01:01:50,240
Speaker 2: get it. It won't be the billionaires who pay this tax,

1147
01:01:50,280 --> 01:01:51,840
Speaker 2: if it's fast, It'll be the rest of us.

1148
01:01:52,960 --> 01:01:54,800
Speaker 1: Do you worry that's going to be the litmus test

1149
01:01:55,040 --> 01:01:58,320
Speaker 1: between you know, two of your leading opponents are pretty

1150
01:01:58,360 --> 01:01:59,880
Speaker 1: pretty in favor of it, I believe.

1151
01:02:00,480 --> 01:02:03,160
Speaker 2: Yeah, yeah, they are. They're in favor of a lot

1152
01:02:03,200 --> 01:02:05,280
Speaker 2: of things that don't make sense, frankly, and they'd rather

1153
01:02:05,320 --> 01:02:07,520
Speaker 2: blame Donald Trump for all of our problems. And look,

1154
01:02:07,600 --> 01:02:10,880
Speaker 2: I have deep concern about Donald Trump. We've sued them

1155
01:02:10,880 --> 01:02:13,240
Speaker 2: a number of times in San Jose, and I'll fight

1156
01:02:13,320 --> 01:02:17,040
Speaker 2: them as hard as anybody as governor. But again, if

1157
01:02:17,080 --> 01:02:20,480
Speaker 2: the Democrat Party in California isn't willing to take ownership

1158
01:02:20,520 --> 01:02:22,880
Speaker 2: of our public policy failures and start bringing down the

1159
01:02:22,920 --> 01:02:26,440
Speaker 2: cost of housing, of the cost of energy, and improving

1160
01:02:26,480 --> 01:02:29,960
Speaker 2: our public schools. We've got another thing common, We're going

1161
01:02:30,040 --> 01:02:32,120
Speaker 2: to see a Maga movement in California, which is what

1162
01:02:32,200 --> 01:02:35,160
Speaker 2: scares me. So let's actually start owning our problems and

1163
01:02:35,440 --> 01:02:38,680
Speaker 2: take control of our destiny and make government work for people.

1164
01:02:39,160 --> 01:02:43,120
Speaker 1: All right, Well, Mayor Matt Mahon, it's been good to

1165
01:02:43,160 --> 01:02:48,840
Speaker 1: get to know you. I appreciate it. And you know,

1166
01:02:49,040 --> 01:02:52,120
Speaker 1: as long as it's not been the best of years

1167
01:02:52,160 --> 01:02:56,600
Speaker 1: for California basketball, has it for college basketball? I don't

1168
01:02:56,600 --> 01:02:59,320
Speaker 1: feel like you got enough. You know, a lot of

1169
01:02:59,400 --> 01:03:01,360
Speaker 1: years we will get University of San Francisco. You might

1170
01:03:01,400 --> 01:03:05,040
Speaker 1: get others in there, you know. I mean, are you

1171
01:03:05,120 --> 01:03:07,400
Speaker 1: going to do something about all this West coast flight

1172
01:03:07,480 --> 01:03:09,880
Speaker 1: to these conferences in the Midwest and the East Coast.

1173
01:03:12,040 --> 01:03:15,000
Speaker 2: Listen, Chuck, I gotta focus and prioritize. I can't solve

1174
01:03:15,040 --> 01:03:16,520
Speaker 2: every problem. I'll leave that one to you.

1175
01:03:17,840 --> 01:03:19,600
Speaker 1: Well, I know there's a lot of sports fans that

1176
01:03:19,640 --> 01:03:22,600
Speaker 1: are frustrated that all those West Coast teams always have

1177
01:03:22,640 --> 01:03:25,800
Speaker 1: to sit on an airplane. There is a there there

1178
01:03:25,840 --> 01:03:28,640
Speaker 1: is a there's got to be a better way. But

1179
01:03:28,720 --> 01:03:32,960
Speaker 1: you're right. Go worry about how homelessness and housing first,

1180
01:03:33,760 --> 01:03:36,600
Speaker 1: and then we'll go. We'll get somewhere, be safe in

1181
01:03:36,640 --> 01:03:38,040
Speaker 1: the campaign trail. Appreciate you coming on.

1182
01:03:38,440 --> 01:03:38,640
Speaker 2: Thanks