1
00:00:03,680 --> 00:00:06,560
Speaker 1: Happy Thursday, and welcome to another episode of the Chuck Todcast.

2
00:00:06,600 --> 00:00:10,480
Speaker 1: I got to a pretty packed episode for you. We're

3
00:00:10,480 --> 00:00:13,200
Speaker 1: going to do a rundown of what's going on around

4
00:00:13,280 --> 00:00:16,560
Speaker 1: the country and the states, some state politics, of what's

5
00:00:16,600 --> 00:00:19,840
Speaker 1: happening with AI, and in fact it ties into something

6
00:00:19,880 --> 00:00:22,000
Speaker 1: else I'm going to get to in a minute, the

7
00:00:22,040 --> 00:00:25,160
Speaker 1: big beautiful Bill and whether what it's going to look

8
00:00:25,200 --> 00:00:27,960
Speaker 1: like and whether it has any chance of ever becoming popular.

9
00:00:28,320 --> 00:00:30,520
Speaker 1: But look, I'm going to start with what is still

10
00:00:30,560 --> 00:00:33,559
Speaker 1: a seismic earthquake inside the Democratic Party, and that is

11
00:00:33,600 --> 00:00:37,560
Speaker 1: the victory by Zoron Mom Donnie in the Democratic primary,

12
00:00:37,600 --> 00:00:40,000
Speaker 1: apparent victory. I mean, we got to remind folks we

13
00:00:40,040 --> 00:00:42,120
Speaker 1: still haven't had the retabulation in the New York City

14
00:00:42,120 --> 00:00:44,879
Speaker 1: mayor's race. You know, let me throw a bizarre what

15
00:00:44,920 --> 00:00:47,239
Speaker 1: if out there. There's an assumption, and I think it's

16
00:00:47,280 --> 00:00:49,879
Speaker 1: a correct assumption based on the polling we've seen and

17
00:00:49,880 --> 00:00:53,280
Speaker 1: certainly the campaign strategies the candidates had of trying to

18
00:00:53,320 --> 00:00:56,760
Speaker 1: convince their supporters not to even rank Cuomo in some

19
00:00:56,800 --> 00:00:59,720
Speaker 1: places and things like that. But let me just throw

20
00:00:59,720 --> 00:01:03,840
Speaker 1: out a here. If Cuomo closes the gap to just

21
00:01:03,920 --> 00:01:06,200
Speaker 1: a couple of points and ends up losing the primary

22
00:01:06,200 --> 00:01:08,400
Speaker 1: after rank choice voting more like that fifty one to

23
00:01:08,480 --> 00:01:11,800
Speaker 1: forty nine or fifty two forty eight. Is that what

24
00:01:11,880 --> 00:01:14,760
Speaker 1: they're waiting for to see whether Cuomo will decide to

25
00:01:15,080 --> 00:01:20,600
Speaker 1: run in a general election. But look, let's it. Certainly

26
00:01:20,640 --> 00:01:23,240
Speaker 1: everybody is behaving today as if that's not going to

27
00:01:23,280 --> 00:01:26,560
Speaker 1: happen in that Mandani is going to be the Democratic nominee.

28
00:01:26,640 --> 00:01:29,720
Speaker 1: The question is what kind of general election is it

29
00:01:29,760 --> 00:01:31,600
Speaker 1: going to be. But before we get to that, on

30
00:01:31,640 --> 00:01:34,400
Speaker 1: the New York City side of things, it's been interesting

31
00:01:34,520 --> 00:01:40,080
Speaker 1: how Democrats have reacted, right it's around the country. You've

32
00:01:40,080 --> 00:01:44,080
Speaker 1: had some in New York, including the two leading Democratic

33
00:01:44,120 --> 00:01:46,600
Speaker 1: figures in New York who happen to hold the two

34
00:01:46,640 --> 00:01:50,360
Speaker 1: most important positions in Congress for the Democrats, Senate Democratic

35
00:01:50,440 --> 00:01:53,840
Speaker 1: Leader Chuck Schumer and House Democratic Leader Akim Jeffries. They

36
00:01:53,880 --> 00:01:59,320
Speaker 1: both congratulated Mandani, but they did not endorse Mamdani. Maybe

37
00:01:59,320 --> 00:02:03,160
Speaker 1: they will eventely, but they have not made that decision yet.

38
00:02:05,040 --> 00:02:08,919
Speaker 1: Bernie Sanders came out gloated and said, Hey, the Democratic

39
00:02:09,040 --> 00:02:13,840
Speaker 1: establishment has some explaining to do, and I really think

40
00:02:13,880 --> 00:02:16,160
Speaker 1: they do. In fact, I want to quote a column

41
00:02:16,160 --> 00:02:19,519
Speaker 1: that I thought was just outstanding, and it sort of,

42
00:02:19,600 --> 00:02:23,519
Speaker 1: I think, summed up how the Democrats have really blew

43
00:02:23,560 --> 00:02:27,480
Speaker 1: this when it came to when it came to how

44
00:02:27,520 --> 00:02:29,640
Speaker 1: they've gotten involved over the last couple of cycles. It

45
00:02:29,720 --> 00:02:33,760
Speaker 1: was a column written by Julie Roginsky, and it was

46
00:02:34,480 --> 00:02:39,480
Speaker 1: it was expressing her frustration. And I'm going to read

47
00:02:39,480 --> 00:02:42,600
Speaker 1: it in part here word for word, because these are

48
00:02:42,639 --> 00:02:45,200
Speaker 1: her words, not my words. What were voters in New

49
00:02:45,280 --> 00:02:48,600
Speaker 1: York to do? This is what she wrote. When I

50
00:02:48,639 --> 00:02:51,320
Speaker 1: filled out my ballot yesterday, I did not rank either

51
00:02:51,400 --> 00:02:54,960
Speaker 1: Cuomo or a Mom Dannie because I, again her words,

52
00:02:55,080 --> 00:02:57,240
Speaker 1: I won't vote for a sexual predator, and because I

53
00:02:57,240 --> 00:02:59,920
Speaker 1: won't vote for a deeply inexperienced candidate who refuses to

54
00:03:00,080 --> 00:03:03,399
Speaker 1: knowledge that quote globalized the Intifada is an offensive term

55
00:03:03,440 --> 00:03:07,040
Speaker 1: to his Jewish constituents. She adds, I knew that my

56
00:03:07,160 --> 00:03:09,280
Speaker 1: vote was wasted, that the five people I ranked had

57
00:03:09,320 --> 00:03:11,720
Speaker 1: no shot of winning, and for this I blame the

58
00:03:11,720 --> 00:03:16,240
Speaker 1: Democratic establishment. And she goes on when Cuomo popped up

59
00:03:16,240 --> 00:03:19,000
Speaker 1: his head to run, all the establishment figures who flocked

60
00:03:19,000 --> 00:03:22,160
Speaker 1: to him could have said no, They could have looked

61
00:03:22,160 --> 00:03:25,040
Speaker 1: at other competent leaders who did not have Cuomo's baggage.

62
00:03:25,520 --> 00:03:31,200
Speaker 1: Raginsky suggests Police Commissioner Jessica Tish was somebody that came

63
00:03:31,240 --> 00:03:34,360
Speaker 1: to mind. I've heard that name quite a bit today. Instead,

64
00:03:34,400 --> 00:03:36,440
Speaker 1: they did what they do best, tried to impose a

65
00:03:36,520 --> 00:03:41,200
Speaker 1: deeply flawed candidate with a disconnected message on their own voters.

66
00:03:41,400 --> 00:03:43,720
Speaker 1: Let me repeat that last phrase, because this, to me

67
00:03:44,240 --> 00:03:47,760
Speaker 1: is the key to how the Democratic Party has lost

68
00:03:48,120 --> 00:03:52,760
Speaker 1: its way. They tried to impose a deeply flawed candidate

69
00:03:52,800 --> 00:03:57,600
Speaker 1: with a disconnected message on their own voters. Hmmm, where

70
00:03:57,840 --> 00:04:02,000
Speaker 1: have they done that before? Oh? Maybe restraight presidential elections.

71
00:04:02,440 --> 00:04:05,640
Speaker 1: Remember this is a Democratic party and a Democratic establishment

72
00:04:06,080 --> 00:04:09,520
Speaker 1: that has chosen candidates on behalf of the voters and

73
00:04:09,560 --> 00:04:13,360
Speaker 1: not let the voter's way in in a good decade, right,

74
00:04:13,800 --> 00:04:16,560
Speaker 1: trust me. If the Democratic establishment had its way, Hillary

75
00:04:16,600 --> 00:04:18,360
Speaker 1: Clinton would have been the nominee in two thousand and eight.

76
00:04:20,240 --> 00:04:22,920
Speaker 1: But they let that go. There wasn't. In fact, some

77
00:04:22,960 --> 00:04:26,719
Speaker 1: of the establishment were divided enough that hey, Obama and

78
00:04:26,760 --> 00:04:30,080
Speaker 1: Clinton both had affair shot at it, and the voters

79
00:04:30,160 --> 00:04:34,120
Speaker 1: chose Obama in twenty sixteen. The voters weren't given that

80
00:04:34,240 --> 00:04:37,679
Speaker 1: kind of choice. Barack Obama put his arm around Hillary Clinton.

81
00:04:37,760 --> 00:04:40,920
Speaker 1: It convinced a whole slew of other potential candidates not

82
00:04:40,960 --> 00:04:45,600
Speaker 1: to run, and only this unknown senator from Vermont decided

83
00:04:45,640 --> 00:04:48,839
Speaker 1: to throw his hat in the ring. Bernie Sanders. People

84
00:04:48,920 --> 00:04:51,760
Speaker 1: forget Bernie Sanders did not have any sort of name

85
00:04:51,800 --> 00:04:55,080
Speaker 1: ID back then. The question has always been did his

86
00:04:55,240 --> 00:04:57,800
Speaker 1: message truly resonate or was the fact that he wasn't

87
00:04:57,839 --> 00:05:00,560
Speaker 1: Hillary Clinton why he resonated or was it a combination

88
00:05:00,680 --> 00:05:04,359
Speaker 1: of the two. But things sort of went her way,

89
00:05:04,600 --> 00:05:07,360
Speaker 1: and there was a feeling that the Democratic primary voters

90
00:05:07,600 --> 00:05:10,520
Speaker 1: really didn't get a fair shot to decide who they

91
00:05:10,600 --> 00:05:16,359
Speaker 1: really wanted as their nominee because the establishment essentially shoved

92
00:05:16,400 --> 00:05:20,440
Speaker 1: a whole generation of Democrats aside. All right, an entire generation.

93
00:05:20,680 --> 00:05:24,520
Speaker 1: Let's move to twenty twenty Joe Biden. This time, there

94
00:05:24,560 --> 00:05:27,080
Speaker 1: were a whole slew and then COVID hit and the

95
00:05:27,200 --> 00:05:30,080
Speaker 1: establishment came in, and there was a fear that what

96
00:05:31,160 --> 00:05:33,280
Speaker 1: a progressive named Bernie Sanders was going to win this

97
00:05:33,400 --> 00:05:36,560
Speaker 1: nomination if a whole bunch of people didn't quickly get

98
00:05:36,600 --> 00:05:39,720
Speaker 1: out and consolidate around Joe Biden. A m clobashar got

99
00:05:39,720 --> 00:05:43,600
Speaker 1: out and consolidated around Joe Biden, Beto O'Rourke did, Pete

100
00:05:43,600 --> 00:05:47,839
Speaker 1: Budaget did, and there was this consolidation. Again, the establishment spoke.

101
00:05:47,920 --> 00:05:52,760
Speaker 1: Jim Clyburn did his famous endorsement, and they spoke, and

102
00:05:52,800 --> 00:05:55,400
Speaker 1: then they did it again in twenty four. Right first,

103
00:05:55,480 --> 00:06:01,000
Speaker 1: the establishment said, anybody that dare question Joe Biden's capability

104
00:06:01,040 --> 00:06:04,840
Speaker 1: of doing a second term is only doing the bidding

105
00:06:04,920 --> 00:06:08,560
Speaker 1: of Donald Trump. Just look at how that Dean Phillips,

106
00:06:08,560 --> 00:06:12,040
Speaker 1: the former member of Congress who did decide to challenge Biden,

107
00:06:12,200 --> 00:06:14,200
Speaker 1: who openly said he didn't want to be the candidate

108
00:06:14,240 --> 00:06:17,080
Speaker 1: running but believed but it would if nobody else would

109
00:06:17,080 --> 00:06:19,320
Speaker 1: step in, and he tried to recruit plenty of governors

110
00:06:19,680 --> 00:06:23,200
Speaker 1: to do just that. Nobody would get in the Establishment

111
00:06:23,760 --> 00:06:29,320
Speaker 1: labeled him some sort of secret Trump surrogate. Okay, they

112
00:06:30,279 --> 00:06:32,560
Speaker 1: were able to protect Biden, and of course we now

113
00:06:32,600 --> 00:06:35,160
Speaker 1: know what happened, and the voters never got to choose

114
00:06:35,200 --> 00:06:38,160
Speaker 1: Kamala Harris. Kamala Harris was essentially chosen for them as

115
00:06:38,200 --> 00:06:42,479
Speaker 1: the nominee. And this is essentially what Julie Roginsky is

116
00:06:42,480 --> 00:06:45,479
Speaker 1: saying happened in New York City. For the life of me,

117
00:06:45,600 --> 00:06:47,279
Speaker 1: and I've written about this. You can go back a

118
00:06:47,279 --> 00:06:51,120
Speaker 1: couple of substack colms and go, why the heck did

119
00:06:51,160 --> 00:06:54,719
Speaker 1: Andrew Cuomo just sort of get o laid into this field?

120
00:06:56,279 --> 00:06:59,560
Speaker 1: And I think it really does mean that the establishment,

121
00:07:00,000 --> 00:07:04,600
Speaker 1: whether it's guys like Chuck Schumer, King Jeffrey's other major Democrats,

122
00:07:05,000 --> 00:07:10,600
Speaker 1: just didn't fully appreciate how unpopular Andrew Cuomo was. Thought, well,

123
00:07:10,720 --> 00:07:13,320
Speaker 1: his name, I d the amount of money he'll raise,

124
00:07:14,280 --> 00:07:17,040
Speaker 1: he's got. You know, older voters, they'll vote for the

125
00:07:17,120 --> 00:07:20,679
Speaker 1: familiar name. It'll be too hard to push him out.

126
00:07:21,560 --> 00:07:23,760
Speaker 1: We don't want to have that fight with him. That's

127
00:07:23,840 --> 00:07:25,800
Speaker 1: only going to be ugly too. So they just sort

128
00:07:25,800 --> 00:07:30,640
Speaker 1: of acquiesced when it was obvious he had major character

129
00:07:30,680 --> 00:07:34,640
Speaker 1: flaws and the fact that he never apologized for what

130
00:07:34,800 --> 00:07:39,640
Speaker 1: happened or explained himself in an honest and straightforward way,

131
00:07:39,680 --> 00:07:43,680
Speaker 1: and instead said he regretted resigning. You know, I wrote this.

132
00:07:43,840 --> 00:07:46,480
Speaker 1: I regret that he resigned too, because he he didn't

133
00:07:46,520 --> 00:07:49,600
Speaker 1: get due process, and the voters never got due process.

134
00:07:50,240 --> 00:07:52,240
Speaker 1: And this is why I think if you resign in

135
00:07:52,360 --> 00:07:55,040
Speaker 1: order to avoid an investigation, whether it's a House ethics

136
00:07:55,040 --> 00:07:58,600
Speaker 1: committee or it's an impeachment inquiry, in your state legislature,

137
00:08:00,200 --> 00:08:02,600
Speaker 1: be barred from running for any office for a decade

138
00:08:02,840 --> 00:08:07,720
Speaker 1: because you're breaking your compact with voters. You were elected

139
00:08:07,720 --> 00:08:09,720
Speaker 1: to do a job for four years and you're walking

140
00:08:09,760 --> 00:08:13,440
Speaker 1: away in less than four years. There should be some penalty,

141
00:08:13,480 --> 00:08:16,400
Speaker 1: but there was none. Guess what, there's a penalty. Now

142
00:08:16,640 --> 00:08:20,760
Speaker 1: his political career is over. Now does he contemplate running

143
00:08:20,760 --> 00:08:24,720
Speaker 1: as independent? He might, But do you really want to

144
00:08:24,760 --> 00:08:28,520
Speaker 1: take two losses? Look, I will say this with Mam Dannie.

145
00:08:28,600 --> 00:08:32,920
Speaker 1: I think I think you're sort of seeing two reactions

146
00:08:33,000 --> 00:08:35,559
Speaker 1: right now. You have a whole bunch of Democrats try

147
00:08:35,640 --> 00:08:38,800
Speaker 1: not to say anything. You have an entire Republican messaging

148
00:08:38,840 --> 00:08:43,199
Speaker 1: machine that is trying to weaponize Mamdanni and turn him

149
00:08:43,280 --> 00:08:48,559
Speaker 1: into you know, the grandson of Vladimir Lenin and trying

150
00:08:48,600 --> 00:08:50,679
Speaker 1: to make the hammer and sickle, you know, call him

151
00:08:50,679 --> 00:08:54,160
Speaker 1: a communist and all of these things. And look, and

152
00:08:54,280 --> 00:08:57,160
Speaker 1: I've warned and I've showed you this. If you don't

153
00:08:57,160 --> 00:09:01,360
Speaker 1: think this is an effective strategy, if Democrats don't know

154
00:09:01,400 --> 00:09:06,160
Speaker 1: how to figure out how both to embrace embrace his

155
00:09:06,440 --> 00:09:10,560
Speaker 1: victory and at the same time say hey, we disagree

156
00:09:10,679 --> 00:09:13,640
Speaker 1: on this issue, this issue, in this issue or some

157
00:09:13,920 --> 00:09:18,040
Speaker 1: form of that. They're going to tie themselves into knots

158
00:09:18,080 --> 00:09:21,240
Speaker 1: and they're going to essentially allow the weaponization to take hold.

159
00:09:21,840 --> 00:09:23,640
Speaker 1: All you have to do, and this is what I

160
00:09:23,679 --> 00:09:26,440
Speaker 1: pointed out yesterday is look at what happened to the

161
00:09:26,440 --> 00:09:29,800
Speaker 1: Democrats in the state of Florida when they nominated somebody

162
00:09:29,800 --> 00:09:34,160
Speaker 1: friendly with democratic socialism. The S word just totally destroyed

163
00:09:34,200 --> 00:09:37,040
Speaker 1: the Democratic brand in Florida, and now Florida is a

164
00:09:37,080 --> 00:09:41,240
Speaker 1: red state. The fact is that the Mayor of New

165
00:09:41,320 --> 00:09:45,240
Speaker 1: York City is I would argue, the second or third

166
00:09:45,280 --> 00:09:48,679
Speaker 1: most famous elected official in the country. I promise you

167
00:09:48,720 --> 00:09:51,320
Speaker 1: if you did it, you know over time, after the

168
00:09:51,320 --> 00:09:55,280
Speaker 1: president and vice president. I think that most people have

169
00:09:55,320 --> 00:09:56,920
Speaker 1: a better shot at naming the Mayor of New York

170
00:09:56,960 --> 00:10:00,440
Speaker 1: City than the Speaker of the House. So it is

171
00:10:00,520 --> 00:10:05,560
Speaker 1: one of the more symbolically, certainly one of the bigger names.

172
00:10:05,559 --> 00:10:07,960
Speaker 1: And that's why this is symbolically such a huge victory.

173
00:10:08,000 --> 00:10:12,200
Speaker 1: But it is, it absolutely is. I think the it's

174
00:10:12,240 --> 00:10:14,840
Speaker 1: the first shot in the big fight between sort of

175
00:10:14,840 --> 00:10:16,920
Speaker 1: the mainstream wing of the Democratic Party. If you want

176
00:10:16,920 --> 00:10:20,240
Speaker 1: to call it again, they need a better descriptor. Right.

177
00:10:20,400 --> 00:10:23,480
Speaker 1: Establishment is a terrible thing. Nobody wants to be the establishment.

178
00:10:23,559 --> 00:10:27,280
Speaker 1: Sounds like they're the incumbent. You know, if you say mainstream,

179
00:10:27,400 --> 00:10:30,840
Speaker 1: it sounds like you're saying there. You know, it's so.

180
00:10:31,240 --> 00:10:33,880
Speaker 1: And as far as the voters were concerned, Mom, Donnie's

181
00:10:33,880 --> 00:10:36,400
Speaker 1: the mainstream, or he wouldn't have won the nomination. So

182
00:10:36,440 --> 00:10:38,920
Speaker 1: I think that's I will admit there needs to be

183
00:10:38,960 --> 00:10:42,400
Speaker 1: so you know, center left, maybe we call it that

184
00:10:42,480 --> 00:10:48,800
Speaker 1: the center left Democrats, the non progressive Democrats. They've they

185
00:10:48,800 --> 00:10:55,600
Speaker 1: don't know, they've got to sort of stop supporting ancient names,

186
00:10:56,120 --> 00:10:58,760
Speaker 1: you know, family dynasties. And I think part of it

187
00:10:58,800 --> 00:11:01,440
Speaker 1: is you sort of have an actre feed class of

188
00:11:01,480 --> 00:11:05,520
Speaker 1: Democrats who I think are being advised by the same

189
00:11:06,360 --> 00:11:10,880
Speaker 1: you know, five or six consultants, They get their funding

190
00:11:10,960 --> 00:11:15,160
Speaker 1: from the same five or six sources, and it becomes

191
00:11:15,280 --> 00:11:18,200
Speaker 1: sort of I think they've become their own bubble and

192
00:11:18,240 --> 00:11:22,400
Speaker 1: they fully don't see it. And yes, the positions that

193
00:11:22,440 --> 00:11:26,600
Speaker 1: Mamdani holds are not popular overall with swing voters. The

194
00:11:26,960 --> 00:11:30,240
Speaker 1: ideas are, but sort of the paying for them are right,

195
00:11:30,400 --> 00:11:33,760
Speaker 1: Like okay, free groceries, Yeah, how does that going to work?

196
00:11:33,760 --> 00:11:36,280
Speaker 1: And who pays for it? I do think that he

197
00:11:36,400 --> 00:11:38,839
Speaker 1: is going to Mamdani. If he does become mayor, is

198
00:11:38,880 --> 00:11:42,200
Speaker 1: going to somebody's going to educate him that the tax

199
00:11:42,240 --> 00:11:46,600
Speaker 1: base of New York City is actually, you know, seventy

200
00:11:46,679 --> 00:11:48,679
Speaker 1: to eighty percent of it comes from a very small

201
00:11:48,720 --> 00:11:52,480
Speaker 1: group of people, and be careful taxing them to the

202
00:11:52,520 --> 00:11:55,440
Speaker 1: point where they decide to leave. Now, I think some

203
00:11:55,520 --> 00:11:57,840
Speaker 1: of this stuff's overblown, right, like all the people that

204
00:11:57,880 --> 00:11:59,920
Speaker 1: we're going to flee to Canada if Donald Trump got

205
00:11:59,920 --> 00:12:02,320
Speaker 1: to like that, I don't think. I think ninety five

206
00:12:02,320 --> 00:12:04,199
Speaker 1: percent of the people that claim they're leaving New York

207
00:12:04,240 --> 00:12:07,280
Speaker 1: City if Mom Donnie becomes mayor, are not going to leave.

208
00:12:09,160 --> 00:12:10,839
Speaker 1: But the story is not you know, it's not a

209
00:12:10,880 --> 00:12:13,400
Speaker 1: good narrative. It's certainly not a good you know, a

210
00:12:13,440 --> 00:12:15,720
Speaker 1: good look, and you're going to have a lot of

211
00:12:15,840 --> 00:12:19,600
Speaker 1: squeaky Wall Street people. But if your mom Donnie politically,

212
00:12:20,400 --> 00:12:23,079
Speaker 1: if Wall Street's upset, then you're winning, right as far

213
00:12:23,080 --> 00:12:25,640
Speaker 1: as your voters are concerned. So you got how he

214
00:12:25,720 --> 00:12:28,600
Speaker 1: had to actually be careful if you're in the if

215
00:12:28,640 --> 00:12:31,240
Speaker 1: you're in the wealthy wing of the Democratic Party or

216
00:12:31,240 --> 00:12:33,480
Speaker 1: the wealthy wing of New York City, how you go

217
00:12:33,600 --> 00:12:38,120
Speaker 1: about criticizing I speak to you Bill Ackman, who I

218
00:12:38,160 --> 00:12:42,800
Speaker 1: don't think has a full self awareness gene in him

219
00:12:43,640 --> 00:12:46,439
Speaker 1: at all times. And so I, you know, I do

220
00:12:46,520 --> 00:12:51,640
Speaker 1: think that that that some of the complaints come across as, oh,

221
00:12:51,840 --> 00:12:54,360
Speaker 1: it must be tough for you, for you folks that

222
00:12:54,440 --> 00:12:57,120
Speaker 1: have to fly private in and out of New York City,

223
00:12:58,040 --> 00:13:01,679
Speaker 1: But you know it is. Look, it is a party

224
00:13:01,679 --> 00:13:05,679
Speaker 1: that's very nervous about more about the fact that they

225
00:13:05,760 --> 00:13:08,960
Speaker 1: have no confidence in their own party at figuring out

226
00:13:09,559 --> 00:13:13,839
Speaker 1: how to embrace mom Donnie without owning all of his positions.

227
00:13:14,360 --> 00:13:16,480
Speaker 1: The fact of the matter is a Republican Party struggled

228
00:13:16,480 --> 00:13:19,640
Speaker 1: with this with Donald Trump from twenty fifteen, twenty sixteen,

229
00:13:19,679 --> 00:13:23,000
Speaker 1: and twenty seventeen until guess what, Donald Trump just eviscerated

230
00:13:23,040 --> 00:13:26,360
Speaker 1: the establishment. Look at the people that were still around, right,

231
00:13:26,400 --> 00:13:30,439
Speaker 1: You had this sort of uncomfortable alliance between sort of

232
00:13:30,440 --> 00:13:33,720
Speaker 1: the Paul Ryan wing that was still alive in twenty

233
00:13:33,720 --> 00:13:37,559
Speaker 1: seventeen and twenty eighteen and the Donald Trump wing of

234
00:13:37,600 --> 00:13:40,920
Speaker 1: the party. Well, five years later, all of those folks

235
00:13:40,960 --> 00:13:44,200
Speaker 1: are gone. It's Donald Trump's party. Are there still some

236
00:13:44,280 --> 00:13:49,000
Speaker 1: few remaining members of that old establishment? Rich McConnell's on

237
00:13:49,040 --> 00:13:51,960
Speaker 1: his way out. John Thune is trying hard not to

238
00:13:52,000 --> 00:13:54,440
Speaker 1: look like he's part of the old guard, and we'll

239
00:13:54,480 --> 00:13:57,880
Speaker 1: see John Cornyn is struggling. As you can see, he's

240
00:13:57,880 --> 00:14:01,120
Speaker 1: about perhaps going to see the end his political career.

241
00:14:01,400 --> 00:14:04,800
Speaker 1: He's somebody that's been around. So it may be that

242
00:14:04,880 --> 00:14:10,640
Speaker 1: what Republicans dealt with in twenty fourteen to twenty sixteen

243
00:14:11,760 --> 00:14:15,280
Speaker 1: maybe what's going to be happening here and maybe this

244
00:14:15,559 --> 00:14:20,040
Speaker 1: is the beginning of a revolt of sort of a

245
00:14:20,120 --> 00:14:23,800
Speaker 1: secondary revolution of sorts. I do want to point out

246
00:14:23,840 --> 00:14:26,800
Speaker 1: another piece of commentary that I retweeted earlier today, but

247
00:14:26,840 --> 00:14:28,800
Speaker 1: I want to read. It comes from somebody who's going

248
00:14:28,880 --> 00:14:31,360
Speaker 1: to be on the podcast pretty soon, Kristen Sultis Anderson.

249
00:14:31,400 --> 00:14:36,720
Speaker 1: She's a Republican polster, really good, and she highlighted this

250
00:14:36,880 --> 00:14:42,479
Speaker 1: quote from Politico's Playbook. It was from an anonymous centrist Democrat.

251
00:14:42,560 --> 00:14:45,600
Speaker 1: It was a hot take, and it was this quote.

252
00:14:45,720 --> 00:14:48,480
Speaker 1: It is extremely alarming that the only candidates who genuinely

253
00:14:48,480 --> 00:14:52,000
Speaker 1: excite our voters are the ones making absolutely insane promises

254
00:14:52,040 --> 00:14:57,240
Speaker 1: on politically toxic positions, one strategist tells Playbook, leaving us

255
00:14:57,240 --> 00:14:59,720
Speaker 1: in the spot of trying to execute on bad policy

256
00:14:59,760 --> 00:15:03,640
Speaker 1: and losing terribly or failing to keep our promises and

257
00:15:03,680 --> 00:15:07,800
Speaker 1: reinforcing the idea that all politics is bullshit. Well, Kristen

258
00:15:07,800 --> 00:15:10,760
Speaker 1: Sultius Anderson put this little note above that quote, and

259
00:15:10,800 --> 00:15:13,840
Speaker 1: she said, change the party label from DEM to GOP.

260
00:15:14,480 --> 00:15:16,520
Speaker 1: And this reminds me of a quote you'd read in

261
00:15:16,560 --> 00:15:20,240
Speaker 1: the summer of twenty fourteen. Well, the summer of twenty fourteen, right,

262
00:15:20,400 --> 00:15:24,880
Speaker 1: was the sort of the second big tea party election, right,

263
00:15:24,920 --> 00:15:28,760
Speaker 1: that last midterm of Obama. And it really those that

264
00:15:28,920 --> 00:15:33,480
Speaker 1: came in there. Josh Holly was a twenty fourteen elected Republican,

265
00:15:33,520 --> 00:15:36,680
Speaker 1: for instance. The beginnings of what is now sort of

266
00:15:36,720 --> 00:15:40,200
Speaker 1: the mainstream MAGA coalition that is very supportive of the

267
00:15:40,200 --> 00:15:44,520
Speaker 1: Trump agenda started to come in in twenty a little

268
00:15:44,520 --> 00:15:47,520
Speaker 1: bit in twenty ten, more so in twenty fourteen, and

269
00:15:47,600 --> 00:15:50,920
Speaker 1: it was the same concerns you had. Mainstream Republicans. Establishment

270
00:15:50,920 --> 00:15:54,320
Speaker 1: Republicans just panicked, and some of these candidates were so

271
00:15:54,360 --> 00:15:56,000
Speaker 1: bad it did cost them Senate races.

272
00:15:56,080 --> 00:15:56,160
Speaker 2: Right.

273
00:15:56,560 --> 00:16:00,240
Speaker 1: Why why are Democrats as close to having the Senate

274
00:16:00,320 --> 00:16:03,120
Speaker 1: majority and in fact just had it for two cycles

275
00:16:03,120 --> 00:16:05,880
Speaker 1: that arguably they shouldn't have had it for It's because

276
00:16:06,360 --> 00:16:08,760
Speaker 1: of how poorly many of these candidates did the first

277
00:16:08,760 --> 00:16:12,120
Speaker 1: time they ran. But as you saw, over time, eventually

278
00:16:12,920 --> 00:16:17,200
Speaker 1: those candidates were able to become seen as mainstream Republicans

279
00:16:17,480 --> 00:16:21,960
Speaker 1: as Donald Trump changed the Republican Party electorate itself, right,

280
00:16:22,240 --> 00:16:25,520
Speaker 1: what you know, those Republicans that rejected some of those

281
00:16:25,560 --> 00:16:28,840
Speaker 1: Tea Party candidates in twenty fourteen, for many of them,

282
00:16:28,840 --> 00:16:32,000
Speaker 1: that was the last time they voted Republican. Right, They

283
00:16:32,120 --> 00:16:35,160
Speaker 1: ended up becoming the new suburban Democratic voters. And this

284
00:16:35,320 --> 00:16:38,160
Speaker 1: is the challenge that I think the Democratic Party has.

285
00:16:38,720 --> 00:16:45,120
Speaker 1: They have been growing support in the wealthier suburbs around

286
00:16:45,200 --> 00:16:49,280
Speaker 1: pretty much every major metropolitan arean America. But these folks

287
00:16:49,440 --> 00:16:54,960
Speaker 1: are not keen on the policies of democratic socialists, you know.

288
00:16:55,120 --> 00:16:58,520
Speaker 1: So this is going to be the uncomfortable alliance that

289
00:16:58,600 --> 00:17:01,520
Speaker 1: I don't know how the two of them are going

290
00:17:01,560 --> 00:17:05,240
Speaker 1: to coexist. Perhaps there's a way that happens. Maybe it's

291
00:17:05,240 --> 00:17:08,639
Speaker 1: a temporary alliance. You know, for a long time, this

292
00:17:08,680 --> 00:17:11,480
Speaker 1: stuff was papered over by just being angry at Donald Trump.

293
00:17:12,320 --> 00:17:15,720
Speaker 1: But I think now after sort of eight years of

294
00:17:16,240 --> 00:17:21,040
Speaker 1: conducting campaigns that paper over this divide between essentially a

295
00:17:22,000 --> 00:17:26,040
Speaker 1: business wing of the Democratic Party and a progressive populist

296
00:17:26,040 --> 00:17:29,680
Speaker 1: wing of the Democratic Party that really I think culturally

297
00:17:29,840 --> 00:17:32,080
Speaker 1: they see things eye to eye and some social issues,

298
00:17:32,119 --> 00:17:35,440
Speaker 1: but not on economic policy, and this is where there's

299
00:17:35,480 --> 00:17:39,439
Speaker 1: this sharp divide and a little bit unfeigned policy. But

300
00:17:39,880 --> 00:17:43,399
Speaker 1: you know, I think sometimes we over highlight the Israel

301
00:17:43,480 --> 00:17:46,360
Speaker 1: issue as a primary voting issue. There's not a lot

302
00:17:46,359 --> 00:17:50,560
Speaker 1: of evidence that voters themselves vote on this issue. That

303
00:17:50,680 --> 00:17:56,200
Speaker 1: instead they're voting on pocketbook issues. So you know, perhaps

304
00:17:56,320 --> 00:17:58,960
Speaker 1: now now that Trump I mean, look, Cuomo tried to

305
00:17:59,000 --> 00:18:01,520
Speaker 1: use the Trump card in order to gain traction with

306
00:18:01,560 --> 00:18:04,960
Speaker 1: Democratic primary voters, and it's pretty clear Democratic primary voters

307
00:18:04,960 --> 00:18:07,480
Speaker 1: are tired of that messaging. They want to hear something

308
00:18:07,560 --> 00:18:09,840
Speaker 1: that's for them. They want to hear something that feels

309
00:18:09,880 --> 00:18:11,959
Speaker 1: like fighting. They want to have something that feels like

310
00:18:12,280 --> 00:18:15,440
Speaker 1: pushing back in one form or another. And I think

311
00:18:15,520 --> 00:18:18,919
Speaker 1: that's what Mam Doni I think gave voters in a

312
00:18:18,920 --> 00:18:22,919
Speaker 1: way that Cuomo never did. But this is where I

313
00:18:22,960 --> 00:18:25,119
Speaker 1: think we all have to sort of take a breath.

314
00:18:27,880 --> 00:18:29,560
Speaker 1: I don't think we can sit here and say for

315
00:18:29,640 --> 00:18:32,720
Speaker 1: sure that Mam Donnie's nomination is. It means the Democratic

316
00:18:32,760 --> 00:18:36,399
Speaker 1: Party wants to go in a very progressive direction on

317
00:18:36,480 --> 00:18:41,960
Speaker 1: economic policy. I think this right now one is not

318
00:18:42,000 --> 00:18:45,320
Speaker 1: a trend. Let's see if this happens in multiple races,

319
00:18:45,320 --> 00:18:47,920
Speaker 1: and then we can have another conversation. But I think

320
00:18:47,960 --> 00:18:51,080
Speaker 1: this had more to do with in Cuomo becoming the

321
00:18:51,160 --> 00:18:54,520
Speaker 1: quasi incumbent to voters right he was seeing the establishment

322
00:18:54,560 --> 00:18:56,920
Speaker 1: and incumbency feels like one and the same these days.

323
00:18:57,520 --> 00:19:01,080
Speaker 1: He ran a terrible race. He wasn't talking about economic issues,

324
00:19:01,320 --> 00:19:03,639
Speaker 1: and he also ran an old race. What do I

325
00:19:03,680 --> 00:19:07,000
Speaker 1: mean by that? Well, they just ran an old campaign,

326
00:19:07,480 --> 00:19:11,280
Speaker 1: a lot of TV ads, a lot of sort of slickness,

327
00:19:11,359 --> 00:19:14,480
Speaker 1: sort of the sort of traditional events, getting the proper

328
00:19:14,640 --> 00:19:17,960
Speaker 1: endorsements and proper endorsements like you know, Jim Clyburn worrying

329
00:19:18,000 --> 00:19:21,040
Speaker 1: too much about those endorsements, versus a mom Donnie who

330
00:19:21,320 --> 00:19:24,119
Speaker 1: by necessity had to come up with different ways to

331
00:19:24,200 --> 00:19:27,440
Speaker 1: run because he didn't have that amount of money. Ran

332
00:19:27,480 --> 00:19:33,600
Speaker 1: a more modern twenty twenty esque the twenty twenties. What

333
00:19:33,720 --> 00:19:38,880
Speaker 1: sort of media is today? Hey, I'm you know, independent media, streaming,

334
00:19:38,920 --> 00:19:42,280
Speaker 1: whatever you want to refer to it. He was all

335
00:19:42,320 --> 00:19:44,440
Speaker 1: of the above. He was showing up everywhere. He would

336
00:19:44,480 --> 00:19:48,080
Speaker 1: certainly do plenty of legacy cable television, but he also

337
00:19:48,119 --> 00:19:52,000
Speaker 1: would do plenty of new media as well. Cuomo wasn't

338
00:19:52,000 --> 00:19:53,760
Speaker 1: doing any of that. I mean, I think I said

339
00:19:53,800 --> 00:19:55,679
Speaker 1: it earlier. I believe he did two podcasts and one

340
00:19:55,720 --> 00:19:59,080
Speaker 1: of them was his brothers. Right. He wasn't exactly looking

341
00:19:59,119 --> 00:20:02,120
Speaker 1: to talk to new vote and sort of let loose,

342
00:20:02,160 --> 00:20:04,359
Speaker 1: and I think part of that, frankly, the reason they

343
00:20:04,440 --> 00:20:07,520
Speaker 1: hit him, right, the reason we never saw Joe Biden

344
00:20:07,600 --> 00:20:12,280
Speaker 1: is that they were afraid he really couldn't reassure people

345
00:20:12,280 --> 00:20:16,960
Speaker 1: that he was all all on the up and up,

346
00:20:17,080 --> 00:20:19,040
Speaker 1: which is why we rarely saw him in interviews, and

347
00:20:19,080 --> 00:20:21,919
Speaker 1: he was very protected. I think with Cuomo, they just

348
00:20:22,320 --> 00:20:27,399
Speaker 1: wanted to duck questions about the circumstances with which he

349
00:20:27,800 --> 00:20:31,800
Speaker 1: decided to resign his governorship. And that was a mistake, right,

350
00:20:31,960 --> 00:20:34,960
Speaker 1: not confronting these things. You know, he could have taken

351
00:20:35,000 --> 00:20:37,399
Speaker 1: a page from Trump's book and gone right at it

352
00:20:37,720 --> 00:20:40,719
Speaker 1: and sort of owned it or not owned it, but

353
00:20:41,000 --> 00:20:43,879
Speaker 1: dealt with it. Whatever you think of Trump, he tries

354
00:20:43,960 --> 00:20:46,560
Speaker 1: to deal with all of it. Sometimes obviously, sometimes he

355
00:20:46,640 --> 00:20:49,760
Speaker 1: lies about it, makes up, but he's constantly trying to

356
00:20:49,800 --> 00:20:52,520
Speaker 1: deal with it, and it sends a message to voters

357
00:20:52,920 --> 00:20:57,240
Speaker 1: that he's at least acknowledging the elephant's plural in the room.

358
00:20:58,200 --> 00:21:02,320
Speaker 1: Cuomo never did any of that, So I think I

359
00:21:02,359 --> 00:21:05,800
Speaker 1: would caution, assuming this is some sort of leftboard lurch

360
00:21:06,000 --> 00:21:08,760
Speaker 1: of the Democratic Party, what were the alternatives. He ran

361
00:21:08,800 --> 00:21:10,800
Speaker 1: a better race, He talked about the issues that voters

362
00:21:10,840 --> 00:21:13,359
Speaker 1: cared about. Cuomo was the front runner. He behaved like

363
00:21:13,560 --> 00:21:18,359
Speaker 1: an incumbent, and he lost. He was sort of and

364
00:21:18,400 --> 00:21:19,960
Speaker 1: it felt like he was out of touch. He didn't

365
00:21:19,960 --> 00:21:22,040
Speaker 1: even live in the city. He didn't even know how

366
00:21:22,040 --> 00:21:25,040
Speaker 1: to His bagel order was an English muffin. I mean

367
00:21:25,240 --> 00:21:28,320
Speaker 1: that alone, to some people, was grounds for never being

368
00:21:28,359 --> 00:21:32,359
Speaker 1: elected mayor of New York City. So it is. You know,

369
00:21:32,400 --> 00:21:35,800
Speaker 1: it's very possible that Mom Donnie won for very mundane

370
00:21:35,920 --> 00:21:38,160
Speaker 1: reasons that have nothing to do with ideology and nothing

371
00:21:38,200 --> 00:21:41,240
Speaker 1: to do with any big shift that bread and butter issues.

372
00:21:41,359 --> 00:21:43,040
Speaker 1: One guy was talking about bread and butter and the

373
00:21:43,040 --> 00:21:46,119
Speaker 1: other one wasn't pure and simple. But here's what I

374
00:21:46,119 --> 00:21:51,720
Speaker 1: would say. I do think that I think Senate Democrats,

375
00:21:51,800 --> 00:21:53,840
Speaker 1: I think Democratic Party is a real problem with Chuck Schumer.

376
00:21:53,920 --> 00:21:56,960
Speaker 1: Right now I say this, it's going to sound like

377
00:21:56,960 --> 00:21:59,040
Speaker 1: I'm picking on him, But you know there was a

378
00:21:59,080 --> 00:22:02,320
Speaker 1: new candidate jumped into the US Senate race in Texas,

379
00:22:03,800 --> 00:22:06,760
Speaker 1: and the first thing he did to say, you know

380
00:22:06,800 --> 00:22:10,120
Speaker 1: he's running is a This is the astronaut, former astronaut

381
00:22:10,160 --> 00:22:12,000
Speaker 1: who decided to run first time he's run for office,

382
00:22:12,040 --> 00:22:15,680
Speaker 1: running as a Democrat, and he and he took a

383
00:22:15,840 --> 00:22:18,960
Speaker 1: and he named Check Schumer as the Democrats who aren't

384
00:22:18,960 --> 00:22:21,240
Speaker 1: doing enough, who aren't fighting, who don't know what they're doing,

385
00:22:22,119 --> 00:22:25,600
Speaker 1: Rocanna who wants himself a congressman out in Silicon Valley.

386
00:22:26,320 --> 00:22:28,960
Speaker 1: Longtime listeners of the Chuck podcast know that I've had

387
00:22:29,040 --> 00:22:33,760
Speaker 1: him on and we've we've we've we've, we've had conversations

388
00:22:33,760 --> 00:22:39,040
Speaker 1: a few times on this broadcast. He regularly named checks

389
00:22:39,119 --> 00:22:41,480
Speaker 1: Schumer in a negative way these days as part of

390
00:22:41,480 --> 00:22:46,480
Speaker 1: the problem on the he's becoming the punching bag for

391
00:22:46,720 --> 00:22:50,120
Speaker 1: Democrats to show that they they are getting the message.

392
00:22:50,160 --> 00:22:54,840
Speaker 1: So it's really I think he's becoming the now symbol.

393
00:22:54,920 --> 00:22:57,879
Speaker 1: It's not Jeffries, it's not the DNC chair that probably

394
00:22:57,920 --> 00:22:59,920
Speaker 1: most people can't remember the name of right now, it's

395
00:23:00,200 --> 00:23:02,800
Speaker 1: Martin in case you're asking yourself right now, it is

396
00:23:02,840 --> 00:23:06,199
Speaker 1: sort of Chuck Schumer. Some of this maybe some of

397
00:23:06,200 --> 00:23:09,639
Speaker 1: the criticism is unfair, but basically he is the remaining

398
00:23:09,720 --> 00:23:12,800
Speaker 1: member of the sort of the group of Democrats that

399
00:23:12,840 --> 00:23:16,720
Speaker 1: it feels like they've been running the party since Obama left. Right,

400
00:23:16,800 --> 00:23:19,159
Speaker 1: you know, Clinton is no longer there, Biden is no

401
00:23:19,240 --> 00:23:22,280
Speaker 1: longer there, but Chuck Schumer. You know, Nancy Pelosi is

402
00:23:22,280 --> 00:23:24,840
Speaker 1: no longer there, but Chuck Schumer is still there. Right,

403
00:23:24,880 --> 00:23:27,159
Speaker 1: Harry Reid is no longer there, but Chuck Schumer is

404
00:23:27,160 --> 00:23:29,240
Speaker 1: still there. Stanny Hoyer is no longer there, but Chuck

405
00:23:29,240 --> 00:23:32,080
Speaker 1: Schumer is still there. So he is I think going

406
00:23:32,119 --> 00:23:36,359
Speaker 1: to become an even bigger magnet. The question. Now, the

407
00:23:36,400 --> 00:23:40,800
Speaker 1: Senate Democrats are very you know senators in general, they're

408
00:23:40,800 --> 00:23:44,679
Speaker 1: not They don't they don't act rashly. You know, they

409
00:23:44,760 --> 00:23:49,160
Speaker 1: usually are very They want to they want to take

410
00:23:49,160 --> 00:23:53,280
Speaker 1: their time on dealing with things. So I don't know

411
00:23:53,640 --> 00:23:55,639
Speaker 1: that he's in trouble and that there would be some

412
00:23:55,680 --> 00:23:58,320
Speaker 1: move against him. In fact, it would be very unsenate

413
00:23:58,520 --> 00:24:00,480
Speaker 1: like to see something like this. But I'll tell you

414
00:24:00,520 --> 00:24:03,240
Speaker 1: that conversation I had with the Democratic senator very recently

415
00:24:03,640 --> 00:24:06,200
Speaker 1: who was really upset that Michael Bennett decided to run

416
00:24:06,200 --> 00:24:08,159
Speaker 1: for governor, and I think I shared this with you

417
00:24:08,200 --> 00:24:11,720
Speaker 1: that a form of this, but it was this senator

418
00:24:11,760 --> 00:24:14,120
Speaker 1: was saying, look, we've got to replace Schumer. We all

419
00:24:14,160 --> 00:24:18,320
Speaker 1: know it, but there's no obvious person. I thought Michael

420
00:24:18,320 --> 00:24:22,240
Speaker 1: Bennett was the obvious replacement, and and and the senator

421
00:24:22,640 --> 00:24:25,040
Speaker 1: you know, said, look, you know, he decided he wanted

422
00:24:25,040 --> 00:24:27,359
Speaker 1: to be governor. He's frustrated working in the Senate. He

423
00:24:27,480 --> 00:24:31,159
Speaker 1: gets it, but you know, you know, it's sort of

424
00:24:31,200 --> 00:24:32,760
Speaker 1: like if you're going to shoot the king, who you're

425
00:24:32,760 --> 00:24:35,400
Speaker 1: going to replace him with? Right? You know? Is it?

426
00:24:35,440 --> 00:24:37,840
Speaker 1: And if you're thinking about running for president in the

427
00:24:37,960 --> 00:24:39,720
Speaker 1: US Senate, the last thing you want to be is

428
00:24:39,760 --> 00:24:43,640
Speaker 1: in leadership. Right, maybe it's better off of Brian Shatz,

429
00:24:43,680 --> 00:24:47,359
Speaker 1: who is a Senator from Hawaii who seems to be

430
00:24:47,440 --> 00:24:50,679
Speaker 1: one of the few that has figured out how to

431
00:24:51,080 --> 00:24:52,960
Speaker 1: how to talk to both the progressive wing of the

432
00:24:53,000 --> 00:24:57,679
Speaker 1: party in a in a way that's authentic and the

433
00:24:57,800 --> 00:24:59,680
Speaker 1: and the and the sort of center left wing of

434
00:24:59,720 --> 00:25:02,880
Speaker 1: the party party where I think he's decidedly a bit

435
00:25:02,960 --> 00:25:06,439
Speaker 1: more progressive. But it's very respectful. You know, when you

436
00:25:06,480 --> 00:25:08,879
Speaker 1: replace Daniel inn Away in the Senate, you're sort of

437
00:25:08,920 --> 00:25:13,520
Speaker 1: respectful of how of the different wings of the party itself.

438
00:25:15,280 --> 00:25:19,000
Speaker 1: It might behove the party to essentially listen to the

439
00:25:19,040 --> 00:25:21,280
Speaker 1: base of the party and say, you know, and here's

440
00:25:21,280 --> 00:25:23,800
Speaker 1: the thing. Schumer's one of the most self aware politicians

441
00:25:23,800 --> 00:25:28,800
Speaker 1: I've ever met. He has made ruthless decisions in the past,

442
00:25:29,280 --> 00:25:33,240
Speaker 1: nominees to let loose in Senate races where you're just

443
00:25:33,280 --> 00:25:35,320
Speaker 1: trying to save the Senate in another state and you

444
00:25:35,880 --> 00:25:38,960
Speaker 1: can't fulfill a promise. He knows how to make tough decisions.

445
00:25:39,359 --> 00:25:42,840
Speaker 1: He's done it before. He's pulled the plug on candidacies

446
00:25:42,880 --> 00:25:44,960
Speaker 1: that you know, made a lot of people mad. But

447
00:25:45,040 --> 00:25:49,639
Speaker 1: somebody has to make those decisions. There might be a

448
00:25:49,680 --> 00:25:52,320
Speaker 1: moment where the best thing for him to be is

449
00:25:52,359 --> 00:25:54,639
Speaker 1: to sort of say, you know what, I shouldn't. You know,

450
00:25:56,000 --> 00:25:58,280
Speaker 1: nobody saying he should leave the Senate, but that he

451
00:25:58,280 --> 00:26:02,439
Speaker 1: steps aside as party leader and sort of sends the

452
00:26:02,480 --> 00:26:05,720
Speaker 1: message that the Democrats do want to sort of turn

453
00:26:05,800 --> 00:26:09,159
Speaker 1: the page, do want a new set of leaders. I

454
00:26:09,160 --> 00:26:11,920
Speaker 1: think Jeffreys is still considered new to the post, right,

455
00:26:12,320 --> 00:26:14,800
Speaker 1: I mean, and Nancy Pelosi is still there right, still

456
00:26:14,840 --> 00:26:18,240
Speaker 1: sort of walks the halls and some I've talked to

457
00:26:18,280 --> 00:26:21,480
Speaker 1: some House Democrats who think that she's she needs to

458
00:26:21,520 --> 00:26:24,600
Speaker 1: lay lower than she has been, and she's actually laid

459
00:26:24,600 --> 00:26:28,680
Speaker 1: pretty low here. It is interesting who did decide to endorse,

460
00:26:31,040 --> 00:26:34,320
Speaker 1: who did decide to endorse Mom Donnie today and who

461
00:26:34,320 --> 00:26:37,400
Speaker 1: did not. The first member of the New York City

462
00:26:37,440 --> 00:26:41,560
Speaker 1: Congressional delegation to endorse Mom Donnie Jerry Nadler, and he's

463
00:26:42,200 --> 00:26:46,080
Speaker 1: he is Jewish. It's a big endorsement. He called it

464
00:26:46,119 --> 00:26:50,880
Speaker 1: a seismic election. He compared Mom Donnie's victory to Obama's victory.

465
00:26:51,880 --> 00:26:55,120
Speaker 1: And here's what he said when it came. He said

466
00:26:55,680 --> 00:26:59,040
Speaker 1: on and whether he had any concerns about some previous

467
00:26:59,040 --> 00:27:02,360
Speaker 1: statements that Mam Donna he had made as a Jewish American,

468
00:27:02,400 --> 00:27:05,160
Speaker 1: and he said, quote, I've spoken to him today about

469
00:27:05,160 --> 00:27:07,719
Speaker 1: his commitment to fighting anti Semitism, and we'll work with

470
00:27:07,760 --> 00:27:11,320
Speaker 1: all New Yorkers to fight against all bigotry and hate.

471
00:27:11,880 --> 00:27:13,680
Speaker 1: And that's what I'm going to be curious to see.

472
00:27:13,720 --> 00:27:17,639
Speaker 1: I think Mom Donnie, we're going to find out. You know,

473
00:27:17,720 --> 00:27:21,639
Speaker 1: sometimes insurgent candidacies don't know how to then not be

474
00:27:21,720 --> 00:27:25,959
Speaker 1: an insurgent like Bernie Sanders. I would argue, he's now

475
00:27:26,440 --> 00:27:29,720
Speaker 1: an establishment leader of the party. But he never wants

476
00:27:29,760 --> 00:27:31,840
Speaker 1: to be seen as an establishment member of the party,

477
00:27:31,880 --> 00:27:34,760
Speaker 1: which is why he continues to back out of his promises.

478
00:27:34,760 --> 00:27:37,359
Speaker 1: He is multiple times promised he was going to register

479
00:27:37,400 --> 00:27:41,880
Speaker 1: as a Democrat and never did because I don't think

480
00:27:41,880 --> 00:27:44,000
Speaker 1: he ever wants to be seen as quote unquote part

481
00:27:44,000 --> 00:27:48,359
Speaker 1: of the establishment. But you could argue, because he's been

482
00:27:48,400 --> 00:27:51,840
Speaker 1: the leader of the progressive movement arguably now for a decade,

483
00:27:52,200 --> 00:27:57,080
Speaker 1: that he is certainly the establishment member of that. But look,

484
00:27:57,200 --> 00:28:02,600
Speaker 1: I do think that there's he's never been able to

485
00:28:02,720 --> 00:28:05,920
Speaker 1: figure out how to be bigger than just his movement.

486
00:28:06,440 --> 00:28:08,400
Speaker 1: This is going to be a challenge from mom Donnie. Right.

487
00:28:08,800 --> 00:28:13,800
Speaker 1: Governing that city is incredibly difficult. It has been referred

488
00:28:13,840 --> 00:28:18,360
Speaker 1: to as the second hardest job in politics. And he

489
00:28:18,440 --> 00:28:20,639
Speaker 1: actually has an opportunity here over the next three or

490
00:28:20,640 --> 00:28:24,400
Speaker 1: four months where the bar's kind of low, right, you're

491
00:28:24,400 --> 00:28:29,120
Speaker 1: going to have a lot of skeptical moderates, skeptical business

492
00:28:29,200 --> 00:28:33,600
Speaker 1: leaders about him. How does he he's had an opportunity

493
00:28:33,640 --> 00:28:36,119
Speaker 1: to sort of make a new first impression with some

494
00:28:36,160 --> 00:28:39,880
Speaker 1: of these folks. What's he like behind the scenes, right,

495
00:28:39,920 --> 00:28:44,200
Speaker 1: you know, it's sort of like sometimes insurgent politicians don't

496
00:28:44,200 --> 00:28:48,800
Speaker 1: know how to be sort of diplomats. When you have

497
00:28:48,840 --> 00:28:51,080
Speaker 1: to be a diplomat, you need to sometimes do diplomacy

498
00:28:51,120 --> 00:28:54,000
Speaker 1: even in domestic politics. Right, it's a challenge that's taking

499
00:28:54,000 --> 00:28:56,120
Speaker 1: place in Syria with the new president there. Right, he

500
00:28:56,240 --> 00:28:58,480
Speaker 1: was a rebel and then suddenly you're now in charge

501
00:28:58,520 --> 00:29:00,440
Speaker 1: and you have to govern everybody, including people that may

502
00:29:00,440 --> 00:29:04,160
Speaker 1: not have wanted you in that position. Can you meet

503
00:29:04,200 --> 00:29:05,760
Speaker 1: the moment, can you handle the moment, and can you

504
00:29:05,800 --> 00:29:09,720
Speaker 1: say no to a supporter if it's for the greater good? Right,

505
00:29:09,840 --> 00:29:14,040
Speaker 1: So it'll be interesting to see that challenge, see how

506
00:29:14,040 --> 00:29:17,040
Speaker 1: he handles that challenge going forward. But look, there's no

507
00:29:17,080 --> 00:29:19,080
Speaker 1: doubt about it. This is an earthquake. And one final

508
00:29:19,080 --> 00:29:21,640
Speaker 1: point I'll make on this, I did a little quick

509
00:29:22,040 --> 00:29:27,200
Speaker 1: research here. There are fifteen members of Congress that are

510
00:29:27,440 --> 00:29:32,640
Speaker 1: seventy years old or older. I do think Mom Donnie's

511
00:29:32,720 --> 00:29:36,760
Speaker 1: victory is going to inspire primary challenges to many of

512
00:29:36,800 --> 00:29:41,320
Speaker 1: these folks. And if you've been in Congress, you're over

513
00:29:41,360 --> 00:29:43,600
Speaker 1: the age of seventy and you've been in Congress more

514
00:29:43,640 --> 00:29:46,240
Speaker 1: than two decades, you really ought to look in the

515
00:29:46,240 --> 00:29:48,480
Speaker 1: mirror and ask yourself whether you really do you want

516
00:29:48,520 --> 00:29:51,000
Speaker 1: to end this way because I think there's going to

517
00:29:51,000 --> 00:29:54,240
Speaker 1: be real vulnerability. It's clear there is a hunger for new.

518
00:29:54,840 --> 00:29:56,880
Speaker 1: I do think the key to Mom Donnie as he

519
00:29:57,000 --> 00:30:02,080
Speaker 1: was new Cuomo, was old, pure and simple. And those

520
00:30:02,160 --> 00:30:04,720
Speaker 1: fifteen members of Congress who have allved so far have

521
00:30:04,720 --> 00:30:06,560
Speaker 1: said they're going to run for reelection, whether it's a

522
00:30:06,640 --> 00:30:11,400
Speaker 1: Maxine Waters in Los Angeles, Stenny Hoyer in Maryland, a

523
00:30:11,480 --> 00:30:15,120
Speaker 1: Bill Pascrell in New Jersey, and Al Green in Texas,

524
00:30:15,200 --> 00:30:18,120
Speaker 1: A Jerry Nadler in New York City, which may explain

525
00:30:18,160 --> 00:30:20,960
Speaker 1: why he quickly jumped on the Mom Donnie bandwagon. He's

526
00:30:21,000 --> 00:30:24,160
Speaker 1: seventy seven and has had to deal with his sheriff

527
00:30:24,200 --> 00:30:29,440
Speaker 1: primary pro Progressive primary challengers before. So that's the door

528
00:30:29,480 --> 00:30:31,640
Speaker 1: that I expected. You know, this is what David Hogg

529
00:30:31,960 --> 00:30:34,960
Speaker 1: had promised he wanted to do. And it is interesting

530
00:30:34,960 --> 00:30:37,880
Speaker 1: when I look at the fifteen House members, none of

531
00:30:37,880 --> 00:30:40,400
Speaker 1: them are in swing seats except for one that I

532
00:30:40,440 --> 00:30:43,560
Speaker 1: can see here, Marcy Captor. Beyond that, everybody else is

533
00:30:43,600 --> 00:30:48,080
Speaker 1: in fairly safe democratic seats. This could be This could

534
00:30:48,080 --> 00:30:51,880
Speaker 1: be the sea change. A sea change is coming. And

535
00:30:51,880 --> 00:30:53,960
Speaker 1: I'll tell you one other one that might want to

536
00:30:54,000 --> 00:30:57,160
Speaker 1: be careful here, and that is there is one senator

537
00:30:57,240 --> 00:31:01,240
Speaker 1: who is up for reelection in twenty twenty six who

538
00:31:01,320 --> 00:31:03,479
Speaker 1: is running that's over the age of seventy five, and

539
00:31:03,480 --> 00:31:07,240
Speaker 1: that's Ed Markey. Now, he survived a primary challenge when

540
00:31:07,240 --> 00:31:11,280
Speaker 1: he was an appointed senator from from young Joe Kennedy,

541
00:31:11,400 --> 00:31:15,240
Speaker 1: the third but Kennedy kind of ran to his right,

542
00:31:16,960 --> 00:31:18,760
Speaker 1: ran a primary challenge from his right, which, as we

543
00:31:18,800 --> 00:31:21,720
Speaker 1: all know, in a Democratic primary, that usually doesn't work.

544
00:31:22,280 --> 00:31:24,520
Speaker 1: But that's another one. The point is is that I think,

545
00:31:25,840 --> 00:31:28,160
Speaker 1: I don't think if you're an incumbent Democrat and you've

546
00:31:28,200 --> 00:31:31,000
Speaker 1: been in office for more than a decade, watch out.

547
00:31:31,840 --> 00:31:35,640
Speaker 1: That's probably the number one message. Watch out quick update

548
00:31:35,680 --> 00:31:38,720
Speaker 1: on the big beautiful bill that the president's trying to

549
00:31:38,720 --> 00:31:41,080
Speaker 1: get through, and you have all these folks trying to

550
00:31:41,120 --> 00:31:44,520
Speaker 1: sort of jam, if you will, The Senate's trying to

551
00:31:44,600 --> 00:31:46,840
Speaker 1: jam the House. They still want to rush this vote.

552
00:31:49,320 --> 00:31:53,120
Speaker 1: It's amazing how unpopular this bill continues to be. And

553
00:31:53,160 --> 00:31:57,320
Speaker 1: there's been a couple of just sloppy comments that that

554
00:31:57,400 --> 00:31:59,520
Speaker 1: I have a feeling are going to come back to

555
00:31:59,680 --> 00:32:03,960
Speaker 1: haunt congressional Republicans. And that is one, of course, was

556
00:32:03,960 --> 00:32:07,719
Speaker 1: the one Joni Ernst made Everybody's going to die. And

557
00:32:07,760 --> 00:32:10,880
Speaker 1: another is a comment that Mitch McConnell was quoted as

558
00:32:10,880 --> 00:32:14,040
Speaker 1: saying on Medicaid cuts when he said, when he was

559
00:32:14,080 --> 00:32:16,880
Speaker 1: quoted Tom Tillis, who is up for reelection, is concerned

560
00:32:17,120 --> 00:32:21,320
Speaker 1: about the severity of some of these Medicaid cuts. Mitch McConnell,

561
00:32:21,320 --> 00:32:23,400
Speaker 1: apparently in the same meeting said, yes, he's been hearing

562
00:32:23,440 --> 00:32:28,000
Speaker 1: the same in Kentucky. But they'll get over it. I

563
00:32:28,160 --> 00:32:30,720
Speaker 1: just that phrase. They'll get over it. And we all

564
00:32:30,760 --> 00:32:35,280
Speaker 1: know how whether one thing, it's one thing for Joni Earnst,

565
00:32:35,280 --> 00:32:37,400
Speaker 1: somebody who outside of Iowa, most people don't know who

566
00:32:37,400 --> 00:32:40,240
Speaker 1: she is. Mitch McConnell, that's somebody a lot of people

567
00:32:40,240 --> 00:32:43,200
Speaker 1: have heard of. I just have a feeling that quote's

568
00:32:43,200 --> 00:32:46,000
Speaker 1: going to become famous. The biggest problem Trump has, and

569
00:32:46,040 --> 00:32:47,480
Speaker 1: I know he's promised to do a tour of the

570
00:32:47,480 --> 00:32:49,880
Speaker 1: country to try to top this bill, is this bill

571
00:32:49,960 --> 00:32:53,880
Speaker 1: starts out enormously unpopular. It has been so defined as

572
00:32:53,880 --> 00:32:57,040
Speaker 1: a cutting Medicaid bill. It is not on other stuff

573
00:32:57,040 --> 00:33:00,160
Speaker 1: at all. It is it is. I don't know know

574
00:33:00,240 --> 00:33:04,040
Speaker 1: how they turn this thing around as a political asset,

575
00:33:04,160 --> 00:33:05,840
Speaker 1: but you know what this is what happened to Biden

576
00:33:05,880 --> 00:33:08,520
Speaker 1: and the Democrats. They eventually got their bill passed, but

577
00:33:08,600 --> 00:33:13,560
Speaker 1: it was such an ugly, painful process, so many ugly

578
00:33:13,640 --> 00:33:19,160
Speaker 1: negotiations and various Democrats trashing different proposals, allowing quotes to

579
00:33:19,200 --> 00:33:24,160
Speaker 1: be used in the elections to sort of make it

580
00:33:24,200 --> 00:33:27,040
Speaker 1: make Democrats uncomfortable trying to sell it. They had a

581
00:33:27,320 --> 00:33:29,280
Speaker 1: you know, it was not a political asset in twenty

582
00:33:29,280 --> 00:33:32,280
Speaker 1: twenty two, It just wasn't to the voters. I think

583
00:33:32,280 --> 00:33:34,760
Speaker 1: that's the situation that Republicans face with this bill in

584
00:33:34,800 --> 00:33:37,640
Speaker 1: twenty twenty six. Look, not passing the bill would still

585
00:33:37,640 --> 00:33:41,600
Speaker 1: be worse politics than passing this bill. But there's I

586
00:33:41,640 --> 00:33:43,440
Speaker 1: don't know what they get to sell out of this

587
00:33:43,560 --> 00:33:47,360
Speaker 1: that's positive. I really don't. It's becoming harder and harder.

588
00:33:47,360 --> 00:33:51,800
Speaker 1: And speaking of which, and this May, it's an important

589
00:33:51,840 --> 00:33:55,360
Speaker 1: poll number that I wanted to share with you that

590
00:33:55,480 --> 00:34:00,120
Speaker 1: I just saw recently, and it's a CNN poll and

591
00:34:00,120 --> 00:34:03,240
Speaker 1: it was just out. There's a there's a certain question

592
00:34:03,280 --> 00:34:06,800
Speaker 1: that we've tracked, we tracked at NBC for years. It's

593
00:34:06,840 --> 00:34:09,960
Speaker 1: an important question. CNN had it on their poll on

594
00:34:10,000 --> 00:34:12,680
Speaker 1: their on their most recent May twenty twenty five poll,

595
00:34:12,800 --> 00:34:15,000
Speaker 1: and the question is simply this. It's a question we've

596
00:34:15,000 --> 00:34:19,920
Speaker 1: tracked for generations and it's fascinating. The pattern here government

597
00:34:20,040 --> 00:34:22,439
Speaker 1: is it doing too much? Or should government do more?

598
00:34:23,280 --> 00:34:26,480
Speaker 1: And the pattern is this, whenever Democrats and are in

599
00:34:26,520 --> 00:34:29,920
Speaker 1: the White House, they're a majority of voters believe government

600
00:34:29,960 --> 00:34:32,480
Speaker 1: is doing too much, And whenever Republicans are in the

601
00:34:32,480 --> 00:34:35,880
Speaker 1: White House, the number starts to increase the government that

602
00:34:35,920 --> 00:34:39,040
Speaker 1: the government needs to do more. Well, we are at

603
00:34:39,080 --> 00:34:43,920
Speaker 1: a near high fifty in CNN's polling, fifty eight percent

604
00:34:44,120 --> 00:34:47,200
Speaker 1: saying that the government needs to do more. At the

605
00:34:47,360 --> 00:34:50,120
Speaker 1: at the beginning of twenty twenty three, it was a

606
00:34:50,160 --> 00:34:54,360
Speaker 1: fifty one forty nine. Now government does more versus government

607
00:34:54,400 --> 00:34:57,359
Speaker 1: does too much is fifty eight forty one. And what's

608
00:34:57,400 --> 00:35:01,440
Speaker 1: interesting here is nearly forty percent of Republicans believe that

609
00:35:01,480 --> 00:35:05,719
Speaker 1: government should actually do more, not less. Why am I

610
00:35:05,760 --> 00:35:08,799
Speaker 1: singling that number out because in every previous pull that

611
00:35:08,880 --> 00:35:11,719
Speaker 1: number has never been over thirty before, and it's over

612
00:35:11,840 --> 00:35:14,960
Speaker 1: forty percent. This gets to the Josh Holly point, right,

613
00:35:15,000 --> 00:35:18,160
Speaker 1: a Republican senator in Missouri who's worried about these Medicaid

614
00:35:18,200 --> 00:35:21,520
Speaker 1: cuts because he knows the elect Donald Trump changed the

615
00:35:21,520 --> 00:35:25,279
Speaker 1: electorate right. The single most important political decision he made

616
00:35:25,320 --> 00:35:27,520
Speaker 1: in order to become president of the United States was

617
00:35:27,560 --> 00:35:31,400
Speaker 1: taking the idea of cutting Social Security, Medicare, and Medicaid

618
00:35:31,440 --> 00:35:33,640
Speaker 1: off the table. Now we're having a big argument, now

619
00:35:33,719 --> 00:35:36,600
Speaker 1: what's a cut what isn't? And I think the country

620
00:35:36,600 --> 00:35:39,440
Speaker 1: believes Medicaid is getting cut. And it certainly looks, you know,

621
00:35:39,560 --> 00:35:42,200
Speaker 1: you look at it, they are making cuts to Medicaid.

622
00:35:42,200 --> 00:35:44,440
Speaker 1: Republicans are going to try to claim it is just

623
00:35:44,520 --> 00:35:48,600
Speaker 1: simply cleaning up Medicaid, that there aren't cuts to actual beneficiaries.

624
00:35:49,160 --> 00:35:52,080
Speaker 1: But it doesn't matter. Voters think government, no matter what

625
00:35:52,160 --> 00:35:56,080
Speaker 1: government's doing, they should do more. So perhaps if your mom, Donnie,

626
00:35:56,280 --> 00:36:00,280
Speaker 1: and you're offering to have government do even more, maybe

627
00:36:00,280 --> 00:36:04,120
Speaker 1: this is a reminder that there's a fairly large constituency

628
00:36:04,120 --> 00:36:06,920
Speaker 1: out there of people who think government should do more

629
00:36:07,239 --> 00:36:10,360
Speaker 1: and not less. All right, I hope you enjoyed the

630
00:36:10,400 --> 00:36:14,160
Speaker 1: NBA Draft last night. This is my favorite stat for

631
00:36:14,200 --> 00:36:18,760
Speaker 1: how crazy the NBA draft is. Of the final eighteen picks.

632
00:36:18,840 --> 00:36:22,280
Speaker 1: If you paid attention to the first round last night, only

633
00:36:22,480 --> 00:36:26,799
Speaker 1: one of the final eighteen first round picks belonged to

634
00:36:26,880 --> 00:36:30,920
Speaker 1: its original owner. That's how often and how many of

635
00:36:30,960 --> 00:36:33,520
Speaker 1: these picks have been traded back and forth. The Boston

636
00:36:33,560 --> 00:36:37,520
Speaker 1: Celtics at number twenty eight the only team, the only

637
00:36:37,600 --> 00:36:39,399
Speaker 1: team after the top I think it was like seven

638
00:36:39,480 --> 00:36:44,520
Speaker 1: or eight picks. Top ten would be top twelve picks,

639
00:36:45,239 --> 00:36:48,680
Speaker 1: the only team to be an original owner of that pick.

640
00:36:48,800 --> 00:36:52,400
Speaker 1: That all seventeen of the final eighteen picks in the

641
00:36:52,400 --> 00:36:57,080
Speaker 1: first round had been traded. I can't say the NBA

642
00:36:57,200 --> 00:36:59,280
Speaker 1: isn't interesting. I think that's part of the NBA's problem.

643
00:36:59,280 --> 00:37:01,880
Speaker 1: There are times where the off season or the stuff

644
00:37:01,920 --> 00:37:04,960
Speaker 1: on Twitter is sometimes as exciting, if not more exciting,

645
00:37:05,239 --> 00:37:08,719
Speaker 1: than sometimes they play itself. All right with that, I

646
00:37:08,719 --> 00:37:11,240
Speaker 1: hope you enjoyed my conversation with my friend Read Wilson.

647
00:37:11,840 --> 00:37:14,239
Speaker 1: We've worked together for years. He's an ex hotliner, but

648
00:37:14,239 --> 00:37:17,239
Speaker 1: more importantly, he runs one of the smartest, most important

649
00:37:18,560 --> 00:37:20,719
Speaker 1: news organizations you might not have heard of yet. It's

650
00:37:20,760 --> 00:37:24,760
Speaker 1: called Pluribus, tracks what's going on on the state level.

651
00:37:25,160 --> 00:37:28,120
Speaker 1: More and more your life is being impacted by what

652
00:37:28,280 --> 00:37:32,759
Speaker 1: state legislatures decide to do or not do. And in fact,

653
00:37:32,840 --> 00:37:34,400
Speaker 1: one of the big parts of the conversation we have

654
00:37:34,520 --> 00:37:38,040
Speaker 1: is about AI regulation, which of course Congress. Congressional Republicans

655
00:37:38,080 --> 00:37:41,400
Speaker 1: are trying to protect big tech from any regulation in

656
00:37:41,440 --> 00:37:43,880
Speaker 1: the States for ten years. It is a part of

657
00:37:43,920 --> 00:37:48,880
Speaker 1: the big beautiful bill that is extraordinarily controversial, and this

658
00:37:48,920 --> 00:37:52,800
Speaker 1: could be the section two thirty piece of legislation. And

659
00:37:52,880 --> 00:37:56,160
Speaker 1: Republicans do end up doing this that gets hung around

660
00:37:56,200 --> 00:37:59,840
Speaker 1: their neck in a few years. If AI goes sideways

661
00:37:59,840 --> 00:38:03,160
Speaker 1: on HI with that, let me sneaking a break and

662
00:38:03,360 --> 00:38:14,279
Speaker 1: we'll bring on Read Wilson we joining me now is

663
00:38:14,320 --> 00:38:18,960
Speaker 1: a long time friend of mine, colleague, an ex hotliner

664
00:38:19,000 --> 00:38:22,000
Speaker 1: and all of you know how I feel about X

665
00:38:22,040 --> 00:38:25,279
Speaker 1: hotliners on this there is yes, I will always over

666
00:38:25,360 --> 00:38:29,440
Speaker 1: index on X hotliners on the Chuck podcast. Read Wilson,

667
00:38:29,480 --> 00:38:33,279
Speaker 1: a former editor in chief himself, got started there when

668
00:38:33,280 --> 00:38:36,439
Speaker 1: I was there. He is now runs what I think

669
00:38:36,520 --> 00:38:39,560
Speaker 1: is one of the must reads every morning for me.

670
00:38:39,719 --> 00:38:43,360
Speaker 1: It's called Pluribus and what it is is it covers

671
00:38:43,400 --> 00:38:47,040
Speaker 1: what's happening in state legislatures, in state law, and as

672
00:38:47,040 --> 00:38:51,200
Speaker 1: we all know, there is with so much inaction in

673
00:38:51,280 --> 00:38:53,319
Speaker 1: the federal level of the government, with one of the

674
00:38:53,360 --> 00:38:56,520
Speaker 1: weakest legislative branches in the history of the United States,

675
00:38:57,680 --> 00:39:01,320
Speaker 1: and the sort of the self weakening that Congress has done.

676
00:39:01,920 --> 00:39:07,000
Speaker 1: It is actually strengthened legislative chambers and legislative action all

677
00:39:07,040 --> 00:39:11,080
Speaker 1: over the country because of the polarization and inability and

678
00:39:11,200 --> 00:39:14,240
Speaker 1: whatever you want to have it. And so in many ways,

679
00:39:14,280 --> 00:39:17,080
Speaker 1: the laboratories of democracy is what we've always referred to

680
00:39:17,120 --> 00:39:21,560
Speaker 1: as the states. Well, those labs are very busy these days.

681
00:39:21,760 --> 00:39:25,560
Speaker 1: And whether it's on voting rights, whether it's on cooperation

682
00:39:25,719 --> 00:39:30,560
Speaker 1: with the federal government, whether it's about medicaid funding, AI regulation.

683
00:39:31,400 --> 00:39:35,520
Speaker 1: Reid Wilson knows all of these things these days. Plus

684
00:39:37,320 --> 00:39:43,399
Speaker 1: you know he's a long suffering Seattle SuperSonics fan. We're

685
00:39:43,400 --> 00:39:45,840
Speaker 1: going to you like that I went SuperSonics on you.

686
00:39:46,920 --> 00:39:49,919
Speaker 1: It's I had Leibovich on recently read and he came

687
00:39:50,000 --> 00:39:53,720
Speaker 1: on the program wearing not a Seattle Sonics T shirt,

688
00:39:54,040 --> 00:39:56,800
Speaker 1: SuperSonics T shirt. It was old school. It was green.

689
00:39:56,920 --> 00:40:00,400
Speaker 1: It was that faded green yellow was kind of you

690
00:40:00,400 --> 00:40:02,799
Speaker 1: could see the space needle and you know in the

691
00:40:02,840 --> 00:40:08,719
Speaker 1: background you saw Shay, Oh, never mind, sorry, I look,

692
00:40:08,800 --> 00:40:11,839
Speaker 1: we're I'll be honest, we're taping before game seven. This

693
00:40:11,880 --> 00:40:16,960
Speaker 1: will air after Game seven. Do you care about the

694
00:40:16,960 --> 00:40:18,160
Speaker 1: thunder and all?

695
00:40:18,680 --> 00:40:18,920
Speaker 3: Are you?

696
00:40:18,960 --> 00:40:22,000
Speaker 1: Like? Are you negative about them, or do you not

697
00:40:22,120 --> 00:40:26,320
Speaker 1: hold it against Oklahoma City fans for how Howard Schultz

698
00:40:26,400 --> 00:40:27,800
Speaker 1: destroyed the Seattle super.

699
00:40:28,120 --> 00:40:30,719
Speaker 3: It's not Oklahoma City's fault. It's Howard Schultz's fault. It

700
00:40:30,760 --> 00:40:33,200
Speaker 3: always will be. Let me tell you a funny story though.

701
00:40:33,200 --> 00:40:35,359
Speaker 2: So I was I was back home over the Fourth

702
00:40:35,360 --> 00:40:37,239
Speaker 2: of July, and I took my kid to a Fourth

703
00:40:37,239 --> 00:40:41,080
Speaker 2: of July parade and the gubernatorial candidates came through, and

704
00:40:41,120 --> 00:40:44,160
Speaker 2: Bob Ferguson, then the attorney general, now the governor stops

705
00:40:44,239 --> 00:40:45,759
Speaker 2: right in front of me, in front of a guy

706
00:40:45,800 --> 00:40:47,720
Speaker 2: with a Sonic shirt, and he says, hey, we're not governor,

707
00:40:47,760 --> 00:40:50,240
Speaker 2: We're going to get the Sonics back. I thought to myself,

708
00:40:50,320 --> 00:40:52,319
Speaker 2: that feels pretty much done. And you had nothing to

709
00:40:52,360 --> 00:40:54,280
Speaker 2: do with it. It was just it was the most blatant

710
00:40:54,280 --> 00:40:54,959
Speaker 2: pandering i'd.

711
00:40:54,880 --> 00:40:59,120
Speaker 1: Ever hey man called pandering. You're at a parade? What that?

712
00:40:59,120 --> 00:41:03,920
Speaker 1: What parades are full? You really feel that confident? It's

713
00:41:03,960 --> 00:41:06,640
Speaker 1: just a done deal. It's just about whenever they decide

714
00:41:06,680 --> 00:41:08,799
Speaker 1: to get Vegas the basketball team, they have to do too,

715
00:41:09,400 --> 00:41:11,680
Speaker 1: so ergo it'll be Seattle or bust.

716
00:41:11,840 --> 00:41:13,719
Speaker 3: And we got the facilities for it. We don't need

717
00:41:13,760 --> 00:41:14,800
Speaker 3: to build a new stadium.

718
00:41:15,440 --> 00:41:18,360
Speaker 2: I'm generally negative on using public funds to build stadiums,

719
00:41:18,360 --> 00:41:20,000
Speaker 2: which by the way, is a pretty big trend in

720
00:41:20,040 --> 00:41:21,520
Speaker 2: the States right now that we can talk about.

721
00:41:21,360 --> 00:41:24,719
Speaker 3: If you want. But we've got the facilities already, we

722
00:41:24,840 --> 00:41:25,560
Speaker 3: just need the team.

723
00:41:26,040 --> 00:41:30,120
Speaker 1: You know. It's interesting on that front. So I was,

724
00:41:30,280 --> 00:41:32,319
Speaker 1: actually i've been I've been sort of going back to

725
00:41:32,320 --> 00:41:34,640
Speaker 1: my sports business routes a little bit as I'm trying

726
00:41:34,680 --> 00:41:36,759
Speaker 1: to build a you know, I have this thesis that

727
00:41:37,280 --> 00:41:40,560
Speaker 1: local sports and youth sports could be what can become

728
00:41:40,640 --> 00:41:44,439
Speaker 1: the revenue stream to build local to sort of build

729
00:41:44,480 --> 00:41:49,120
Speaker 1: back local news. And I'm pretty the more I look

730
00:41:49,160 --> 00:41:51,239
Speaker 1: into it, the more the more bullish I am on this.

731
00:41:53,000 --> 00:41:55,480
Speaker 1: But it's allowed me to sort of I've gotten I've

732
00:41:55,520 --> 00:41:57,840
Speaker 1: sort of reacquainted myself with the industry, gotten to know

733
00:41:57,880 --> 00:42:01,520
Speaker 1: a lot of these key players. And is that a

734
00:42:01,520 --> 00:42:03,880
Speaker 1: an off the record conversation And I don't want to

735
00:42:03,880 --> 00:42:05,319
Speaker 1: say where because I don't want to give away that

736
00:42:05,360 --> 00:42:10,040
Speaker 1: part of it, but generally it was interesting. The essentially

737
00:42:10,080 --> 00:42:14,400
Speaker 1: what the goal now is in these public funds debates

738
00:42:14,680 --> 00:42:18,399
Speaker 1: about stadiums is don't go to the voters now right now?

739
00:42:18,560 --> 00:42:21,640
Speaker 1: The voters are always it's easier to vote them down

740
00:42:21,800 --> 00:42:24,600
Speaker 1: than vote for them. What's funny about these things is,

741
00:42:24,760 --> 00:42:27,880
Speaker 1: like take Washington, DC is a great example. There was

742
00:42:27,920 --> 00:42:30,400
Speaker 1: a lot of controversy about whether Nationals Park should be

743
00:42:30,440 --> 00:42:33,120
Speaker 1: done the way it was done. Twenty years later, everybody

744
00:42:33,160 --> 00:42:35,440
Speaker 1: looks at what's been done to the waterfront to that

745
00:42:35,520 --> 00:42:37,880
Speaker 1: area and says, oh my god, this has been transformational

746
00:42:38,640 --> 00:42:42,759
Speaker 1: and so which is why it was they're going to

747
00:42:42,840 --> 00:42:46,359
Speaker 1: get the Commanders deal done because they see what it

748
00:42:46,440 --> 00:42:49,359
Speaker 1: has meant it really, you know, because sometimes you make

749
00:42:49,400 --> 00:42:52,800
Speaker 1: these projects and they do not deliver on the extra

750
00:42:52,920 --> 00:42:56,600
Speaker 1: jobs and the extra this. But it does seem as

751
00:42:56,600 --> 00:42:59,160
Speaker 1: if if you do it in a city, you know,

752
00:42:59,160 --> 00:43:00,839
Speaker 1: you try to do it in a suburbs and you're

753
00:43:00,880 --> 00:43:04,279
Speaker 1: not going to get the return on investment those promises, don't.

754
00:43:04,440 --> 00:43:06,920
Speaker 1: I mean, it is rare. Maybe the Braves thing is

755
00:43:06,920 --> 00:43:11,520
Speaker 1: an exception to the rule, but usually suburban developments don't

756
00:43:11,560 --> 00:43:15,040
Speaker 1: work as well as actual city developments doing these things.

757
00:43:15,040 --> 00:43:17,520
Speaker 1: But what are you seeing as a trend and do

758
00:43:17,560 --> 00:43:19,680
Speaker 1: you see more of these local governments going all right,

759
00:43:19,719 --> 00:43:23,680
Speaker 1: we'll do this, but we cannot essentially make it a

760
00:43:23,680 --> 00:43:24,720
Speaker 1: referendum with the voters.

761
00:43:24,800 --> 00:43:26,520
Speaker 2: Yeah, nobody wants to go to the voters. Take a

762
00:43:26,520 --> 00:43:28,879
Speaker 2: look at what happened in Kansas City. The voters there

763
00:43:28,960 --> 00:43:31,840
Speaker 2: voted down in incremental sales tax. I think it was

764
00:43:31,880 --> 00:43:34,440
Speaker 2: five to eighths of a cent of a sales tax

765
00:43:34,920 --> 00:43:37,399
Speaker 2: to keep the chiefs and the royals in town. Now,

766
00:43:37,440 --> 00:43:40,719
Speaker 2: the legislature just passed something last week to get that

767
00:43:40,800 --> 00:43:43,800
Speaker 2: project done. Same things happening in Ohio with the Cleveland

768
00:43:43,840 --> 00:43:46,920
Speaker 2: Brown Stadium. And I think the big trend that you're

769
00:43:46,920 --> 00:43:51,200
Speaker 2: seeing here is not that legislatures are doing are giving

770
00:43:51,200 --> 00:43:53,960
Speaker 2: money to rich owners to build new stadiums. That's happened

771
00:43:54,120 --> 00:43:57,600
Speaker 2: over time. They're building more than just stadiums though. They're

772
00:43:57,640 --> 00:44:01,640
Speaker 2: building these entertainment districts own the stadium. To talk about

773
00:44:01,719 --> 00:44:04,760
Speaker 2: DC en sure that that sort of Navy yard area

774
00:44:04,800 --> 00:44:05,520
Speaker 2: has all built up.

775
00:44:05,480 --> 00:44:06,240
Speaker 3: Around the stadium.

776
00:44:06,320 --> 00:44:07,880
Speaker 2: You're going to see the same thing like the like

777
00:44:07,920 --> 00:44:10,479
Speaker 2: the power and Light district in Kansas City. Uh, those

778
00:44:10,480 --> 00:44:13,480
Speaker 2: sort of entertainment districts building up around a stadium so

779
00:44:13,520 --> 00:44:15,759
Speaker 2: that it's more than just someplace that people go for

780
00:44:16,000 --> 00:44:17,279
Speaker 2: you know, eight football games a year.

781
00:44:17,360 --> 00:44:19,359
Speaker 3: It's a place where you go to have dinner and

782
00:44:19,600 --> 00:44:20,440
Speaker 3: walk around a city.

783
00:44:20,760 --> 00:44:24,800
Speaker 1: Well, what's interesting is that the sports franchises themselves realize

784
00:44:24,840 --> 00:44:28,520
Speaker 1: they have to create a destination they that you know,

785
00:44:28,560 --> 00:44:32,520
Speaker 1: you're competing. And I always say this with football man,

786
00:44:32,640 --> 00:44:34,160
Speaker 1: it takes a lot to get me to go to

787
00:44:34,200 --> 00:44:39,239
Speaker 1: a game, because I is there a better view than

788
00:44:39,280 --> 00:44:42,319
Speaker 1: your big screen television in your own house right, the

789
00:44:42,360 --> 00:44:44,640
Speaker 1: ability to see the replay, the ability to do all

790
00:44:44,640 --> 00:44:47,360
Speaker 1: those things right. And you know, when you go to

791
00:44:47,400 --> 00:44:51,919
Speaker 1: a game, especially college football, and the extraordinarily lengthy TV

792
00:44:52,040 --> 00:44:55,240
Speaker 1: timeouts that can sit you know, it isn't a great

793
00:44:55,320 --> 00:44:57,520
Speaker 1: So you really have to do a lot of other

794
00:44:57,719 --> 00:45:01,279
Speaker 1: You've got to make the experience big than just the

795
00:45:01,320 --> 00:45:04,760
Speaker 1: two to three hours in the in the action itself.

796
00:45:05,160 --> 00:45:08,400
Speaker 1: So I think in many ways the franchises are incentivized

797
00:45:08,760 --> 00:45:12,120
Speaker 1: to think bigger and then actually that does create payoff

798
00:45:12,360 --> 00:45:14,920
Speaker 1: for the for the for the local government, because when

799
00:45:14,960 --> 00:45:17,799
Speaker 1: you think bigger, then you do get hotel taxes, you

800
00:45:17,880 --> 00:45:21,760
Speaker 1: do get the tourist stuff, you do get just basic

801
00:45:22,000 --> 00:45:24,840
Speaker 1: sales tax and property tax return, where if it's just

802
00:45:24,960 --> 00:45:27,560
Speaker 1: the stadium, you don't see any kind of return. Ask

803
00:45:27,600 --> 00:45:31,640
Speaker 1: Maryland what kind of return they got from from ral John? Right, Yeah,

804
00:45:31,760 --> 00:45:33,560
Speaker 1: you know, which is no longer roll John whatever that,

805
00:45:33,800 --> 00:45:36,480
Speaker 1: you know. But but you know, in Landover with that stadium,

806
00:45:36,600 --> 00:45:40,439
Speaker 1: they didn't get the return they expected because Landover wasn't

807
00:45:40,440 --> 00:45:42,720
Speaker 1: a destination, pure and simple.

808
00:45:43,040 --> 00:45:43,360
Speaker 3: Yeah.

809
00:45:43,440 --> 00:45:45,360
Speaker 2: And you know, by the way, a big thing that

810
00:45:45,760 --> 00:45:47,960
Speaker 2: a lot of states are dealing with right now is housing.

811
00:45:48,320 --> 00:45:49,160
Speaker 3: And you build an.

812
00:45:49,080 --> 00:45:51,279
Speaker 2: Entertainment district like that, and hey, that's you know, a

813
00:45:51,280 --> 00:45:54,440
Speaker 2: couple of thousand new housing units something that all these pass.

814
00:45:54,520 --> 00:45:56,919
Speaker 1: You and I both see Mayor Bouser keeps bringing that up. Hey,

815
00:45:56,920 --> 00:46:02,000
Speaker 1: we're building this many new units in to this this stadium,

816
00:46:02,400 --> 00:46:05,439
Speaker 1: and that is what I think has made these things

817
00:46:05,480 --> 00:46:09,160
Speaker 1: go down a little bit easier. And again, voters don't

818
00:46:09,239 --> 00:46:11,840
Speaker 1: like it. You know. Look, I'm a cranky voter. I

819
00:46:11,920 --> 00:46:15,759
Speaker 1: almost always vote against these these tax asks referendums in

820
00:46:15,800 --> 00:46:19,520
Speaker 1: my county, you know, if it's you know, unless it's

821
00:46:19,520 --> 00:46:22,439
Speaker 1: for schools or parks, like that's the up school in Barts. Yes,

822
00:46:22,480 --> 00:46:24,360
Speaker 1: you know, I'm one of those voters. But I'm always

823
00:46:24,360 --> 00:46:26,040
Speaker 1: a little skeptical. Why are you always going to borrow?

824
00:46:26,080 --> 00:46:27,600
Speaker 1: Why do you always want to borrow? Can you can

825
00:46:27,640 --> 00:46:30,280
Speaker 1: you do this another way? You know? Type of mindset.

826
00:46:30,320 --> 00:46:32,560
Speaker 1: I'm probably not alone in that, which is why all

827
00:46:32,600 --> 00:46:35,319
Speaker 1: of these things are always what fifty one forty nine

828
00:46:35,400 --> 00:46:38,000
Speaker 1: and usually in the negative, right, And.

829
00:46:38,360 --> 00:46:40,080
Speaker 2: I mean think about it, that people getting the money

830
00:46:40,239 --> 00:46:42,280
Speaker 2: are billionaires, right, the billionaire sports owners.

831
00:46:42,400 --> 00:46:43,800
Speaker 3: It's the it's the.

832
00:46:44,120 --> 00:46:48,600
Speaker 2: Easy, easy ad campaign, privatization of gain and the socialization

833
00:46:48,880 --> 00:46:49,320
Speaker 2: of cost.

834
00:46:49,520 --> 00:46:52,600
Speaker 1: So yeah, yeah, no, there's no doubt about it. Look,

835
00:46:52,719 --> 00:46:54,440
Speaker 1: one of the things that motivated me to get you

836
00:46:54,440 --> 00:46:57,000
Speaker 1: on sooner rather than later recently one is just because

837
00:46:57,000 --> 00:46:58,880
Speaker 1: I know we can talk a lot of politics outside

838
00:46:58,880 --> 00:47:03,279
Speaker 1: of Washington, which I'm constantly interested in. But it's fascinating

839
00:47:03,320 --> 00:47:05,920
Speaker 1: to me how members of Congress are now realizing they

840
00:47:05,960 --> 00:47:09,960
Speaker 1: read the fine print of the big, beautiful bill, which

841
00:47:10,160 --> 00:47:12,960
Speaker 1: you know, I went on and ran on this. I'm

842
00:47:12,960 --> 00:47:15,279
Speaker 1: not asking every member of Congress read every bill, but

843
00:47:15,520 --> 00:47:17,440
Speaker 1: can you read the one big one every year that

844
00:47:17,480 --> 00:47:19,480
Speaker 1: you got to vote on, Right, Like when you were

845
00:47:19,480 --> 00:47:21,640
Speaker 1: in college, you knew which books you didn't have to read,

846
00:47:21,680 --> 00:47:24,520
Speaker 1: but there was always one you had to read, right, Yeah, at.

847
00:47:24,440 --> 00:47:27,440
Speaker 3: Least running through chat GPT right, get the summary.

848
00:47:27,480 --> 00:47:31,000
Speaker 1: Get it summary. Although I think the submaries didn't know

849
00:47:31,760 --> 00:47:34,880
Speaker 1: that this bill was going to take AI regulation power

850
00:47:34,920 --> 00:47:39,240
Speaker 1: away from the states. Which I remember when I was like, Wow,

851
00:47:39,280 --> 00:47:42,160
Speaker 1: that is boy AI thinks they can get These AI

852
00:47:42,239 --> 00:47:45,160
Speaker 1: companies think they're going to get anything they want, And

853
00:47:45,200 --> 00:47:48,440
Speaker 1: it was amazing how they did get it into part

854
00:47:48,520 --> 00:47:51,240
Speaker 1: one of that legislation. Now I think it's definitely going away,

855
00:47:51,400 --> 00:47:51,759
Speaker 1: don't you.

856
00:47:53,719 --> 00:47:56,240
Speaker 2: I would imagine so, especially because we've seen such outcry

857
00:47:56,280 --> 00:47:57,080
Speaker 2: from the States.

858
00:47:56,840 --> 00:47:58,680
Speaker 3: There was a bipartisan letter.

859
00:47:58,520 --> 00:48:00,720
Speaker 2: A couple of weeks ago from a couple of hundred

860
00:48:00,760 --> 00:48:03,879
Speaker 2: state legislators, even numbers of Democrats and Republicans and even

861
00:48:03,880 --> 00:48:05,680
Speaker 2: a couple of independents out there who.

862
00:48:05,480 --> 00:48:06,440
Speaker 3: Said they wanted the power.

863
00:48:06,520 --> 00:48:09,279
Speaker 2: And the interesting thing about this is the states have

864
00:48:09,440 --> 00:48:11,640
Speaker 2: really taken a lead on it, and it's it's a

865
00:48:11,680 --> 00:48:16,080
Speaker 2: bipartisan cause there's this there's this caucus of legislators led

866
00:48:16,120 --> 00:48:18,680
Speaker 2: by a guy named state senator in Connecticut named James

867
00:48:18,760 --> 00:48:22,879
Speaker 2: Maroney the state of Rapid Texas named Giovanni's Capriglione uh

868
00:48:22,920 --> 00:48:25,200
Speaker 2: and and they're they're taking very different approaches, but they're

869
00:48:25,200 --> 00:48:27,160
Speaker 2: sitting there and they're talking about it and learning about

870
00:48:27,760 --> 00:48:32,160
Speaker 2: AI and uses in state government guard rails around safety

871
00:48:32,200 --> 00:48:36,160
Speaker 2: and discrimination. UH. It's it's been a huge conversation in

872
00:48:36,200 --> 00:48:37,920
Speaker 2: the states and they want to keep that power.

873
00:48:38,560 --> 00:48:39,120
Speaker 3: I think it's I.

874
00:48:39,120 --> 00:48:43,480
Speaker 2: Think it's you know, there's a there's At the same time, though,

875
00:48:43,600 --> 00:48:47,239
Speaker 2: we're seeing the growth of a new set of very

876
00:48:47,320 --> 00:48:51,480
Speaker 2: moneyed interests playing in politics these days. You know, in

877
00:48:51,520 --> 00:48:53,320
Speaker 2: the old days, it was it was you know, pharma

878
00:48:53,360 --> 00:48:56,960
Speaker 2: and big tobacco and you know, the boogeyman. Today it's

879
00:48:57,000 --> 00:49:01,000
Speaker 2: crypto and it's AI, and they're starting to play federal races.

880
00:49:01,080 --> 00:49:03,120
Speaker 2: We saw that in you know, the Ohio Senate race,

881
00:49:03,120 --> 00:49:06,359
Speaker 2: the Pennsylvania Senate race, where the crypto community came in

882
00:49:06,400 --> 00:49:07,480
Speaker 2: hard for the Republicans.

883
00:49:08,040 --> 00:49:10,399
Speaker 3: And now we're seeing it in state legislators too, where

884
00:49:10,600 --> 00:49:11,440
Speaker 3: you know, open.

885
00:49:11,200 --> 00:49:14,719
Speaker 2: Ai and Meta and Google are are they're spending a

886
00:49:14,719 --> 00:49:19,480
Speaker 2: lot of money lobbying mostly against these bills through a

887
00:49:19,560 --> 00:49:20,760
Speaker 2: number of interesting cutouts.

888
00:49:20,800 --> 00:49:23,839
Speaker 3: You know, there's like the liberal tech interest group will go.

889
00:49:23,800 --> 00:49:26,680
Speaker 2: Play in California and the conservative tech interest group will

890
00:49:26,719 --> 00:49:27,600
Speaker 2: go play in Texas.

891
00:49:27,840 --> 00:49:29,520
Speaker 1: And the money comes from the same pot, doesn't it.

892
00:49:29,520 --> 00:49:30,600
Speaker 3: Money comes from the same pot.

893
00:49:30,640 --> 00:49:33,080
Speaker 2: And they don't really you know, there's no real difference

894
00:49:33,080 --> 00:49:35,560
Speaker 2: other than they call themselves liberals or conservatives.

895
00:49:36,120 --> 00:49:37,320
Speaker 3: But they all they all.

896
00:49:37,239 --> 00:49:38,799
Speaker 2: Sort of carve it up and then and then the

897
00:49:38,880 --> 00:49:41,760
Speaker 2: moderate the libertarian guys come in and sew when something

898
00:49:41,800 --> 00:49:42,560
Speaker 2: actually passes.

899
00:49:43,640 --> 00:49:47,920
Speaker 1: You know. One of the sad new realities in Washington

900
00:49:47,960 --> 00:49:53,120
Speaker 1: lobbying is that there's it's rarely now big corporations versus citizens.

901
00:49:53,560 --> 00:49:59,040
Speaker 1: It is usually one industry versus another industry, and they

902
00:49:59,120 --> 00:50:02,000
Speaker 1: hide behind the people, right, they try to use voters,

903
00:50:02,040 --> 00:50:04,280
Speaker 1: you know, whether it's you know, we're seeing it with

904
00:50:03,960 --> 00:50:06,759
Speaker 1: the with with pharma, right, it's like one you know,

905
00:50:06,800 --> 00:50:09,719
Speaker 1: it's really too moneyed interest going after each other. I

906
00:50:09,719 --> 00:50:12,279
Speaker 1: don't know if the citizens have any role in this whatsoever.

907
00:50:13,480 --> 00:50:17,360
Speaker 1: Who's the you know, is there any entity pushing back

908
00:50:17,560 --> 00:50:22,560
Speaker 1: against big tech on their aggressive AI? Is there another

909
00:50:22,600 --> 00:50:26,440
Speaker 1: industry stepping into sort of to try to slow down

910
00:50:26,760 --> 00:50:29,520
Speaker 1: AI's ability to basically get governments to do whatever the

911
00:50:29,560 --> 00:50:30,480
Speaker 1: hell they want now?

912
00:50:30,520 --> 00:50:32,360
Speaker 3: I don't see an industry group.

913
00:50:32,440 --> 00:50:35,080
Speaker 2: I do see a lot of the AI companies sort

914
00:50:35,120 --> 00:50:37,360
Speaker 2: of feuding with each other, although mainly on sort of

915
00:50:37,600 --> 00:50:41,759
Speaker 2: other issues around tech, social media, digital privacy, things like that.

916
00:50:42,120 --> 00:50:45,640
Speaker 2: A big example is the push for age verification rules.

917
00:50:45,680 --> 00:50:49,680
Speaker 2: You know, your kid downloads an app, whose responsibility is

918
00:50:49,680 --> 00:50:52,120
Speaker 2: it to verify that used age?

919
00:50:52,239 --> 00:50:55,920
Speaker 3: Is it? You know, is it the app people themselves, Facebook.

920
00:50:56,600 --> 00:50:59,240
Speaker 2: Snapchat, something like that, or is it an app store

921
00:50:59,320 --> 00:51:01,680
Speaker 2: Apple and Google Apple? And right now a lot of those,

922
00:51:01,680 --> 00:51:03,239
Speaker 2: a lot of states are fighting over so.

923
00:51:03,560 --> 00:51:06,760
Speaker 1: In that sense, you get those two big moneyed fights,

924
00:51:06,840 --> 00:51:09,560
Speaker 1: right It's usually there's a lot of Apple versus meta stuff.

925
00:51:10,000 --> 00:51:15,280
Speaker 1: I am curious since Apple is sort of the lagger

926
00:51:15,680 --> 00:51:18,840
Speaker 1: when it comes to sort of AI at this point,

927
00:51:18,920 --> 00:51:21,840
Speaker 1: are they at all funding the other side of this

928
00:51:21,960 --> 00:51:23,120
Speaker 1: or no, you know, not.

929
00:51:23,040 --> 00:51:23,720
Speaker 3: That I've seen.

930
00:51:24,640 --> 00:51:28,120
Speaker 2: I mean, the other side is mostly privacy groups, good

931
00:51:28,120 --> 00:51:30,560
Speaker 2: government groups, common cause people like that.

932
00:51:31,239 --> 00:51:35,600
Speaker 1: Who you know, truly the citizen groups, the original citizen

933
00:51:35,640 --> 00:51:36,239
Speaker 1: lobbyist type.

934
00:51:36,320 --> 00:51:38,840
Speaker 2: Yeah, as opposed to as opposed to the big companies

935
00:51:38,960 --> 00:51:40,400
Speaker 2: fighting over AI itself.

936
00:51:41,080 --> 00:51:42,799
Speaker 1: You know, it's interesting when you just pointed out about

937
00:51:42,800 --> 00:51:45,560
Speaker 1: how it's a bipartisan pushback right from the states on

938
00:51:45,600 --> 00:51:48,680
Speaker 1: the against the Feds. And this is one of the

939
00:51:48,719 --> 00:51:51,239
Speaker 1: things while you know, we talk a lot on a

940
00:51:51,280 --> 00:51:54,600
Speaker 1: macro level when we look at state legislatures about oh, look,

941
00:51:54,600 --> 00:51:58,279
Speaker 1: this is a one party control here, one party control there. Yeah,

942
00:51:58,360 --> 00:52:00,600
Speaker 1: And from sixty thousand feet that's what looks like. And

943
00:52:00,600 --> 00:52:02,680
Speaker 1: then when you look closer you see a place like

944
00:52:02,760 --> 00:52:06,439
Speaker 1: Texas right where the Texas House is actually split into

945
00:52:06,440 --> 00:52:09,480
Speaker 1: three right, it's a three party apparatus these days, and

946
00:52:09,480 --> 00:52:13,080
Speaker 1: there's sort of coalitions working themselves out and you see

947
00:52:13,080 --> 00:52:16,759
Speaker 1: these Is there more bipartisanship on the state level than

948
00:52:16,960 --> 00:52:20,440
Speaker 1: on the federal level or am I just being pollyanniship? No?

949
00:52:20,760 --> 00:52:23,400
Speaker 3: There is, but it's it varies by state.

950
00:52:24,000 --> 00:52:26,839
Speaker 2: So in Texas it is tradition that the Texas House

951
00:52:26,840 --> 00:52:31,320
Speaker 2: alexis speaker unanimously. You know, the Dems will vote for

952
00:52:32,080 --> 00:52:36,080
Speaker 2: whatever Republican gets the nomination, assuming it's sort of the

953
00:52:36,080 --> 00:52:38,520
Speaker 2: moderate Republican and not the ultra conservative.

954
00:52:39,280 --> 00:52:40,080
Speaker 3: And in other.

955
00:52:40,040 --> 00:52:43,600
Speaker 2: States, you know that Illinois was in Illinois, no, somebody

956
00:52:43,640 --> 00:52:46,840
Speaker 2: else just passed a budget with on a pretty bipartisan vote.

957
00:52:46,920 --> 00:52:49,399
Speaker 3: Arizona is going to do a bipartisan budget too.

958
00:52:49,440 --> 00:52:51,960
Speaker 2: They need to because they've got Republicans have narrow control

959
00:52:52,000 --> 00:52:56,040
Speaker 2: and there's a democratic governor. In other states, the vitriol

960
00:52:56,360 --> 00:52:58,680
Speaker 2: is at the same level that it is at the

961
00:52:58,680 --> 00:52:59,400
Speaker 2: federal government.

962
00:53:00,000 --> 00:53:02,120
Speaker 3: Wisconsin, the RS and the D's barely talk to each other.

963
00:53:02,280 --> 00:53:05,879
Speaker 1: Wisconsin is sort of ground zero. I always say Wisconsin's

964
00:53:05,880 --> 00:53:09,640
Speaker 1: polarization started before America. Yeah, I think they were they

965
00:53:09,680 --> 00:53:11,680
Speaker 1: were the shot heard around the world on this But anyway,

966
00:53:11,680 --> 00:53:12,040
Speaker 1: go ahead.

967
00:53:12,400 --> 00:53:14,759
Speaker 2: But but you know, by partisanship does exist, and let

968
00:53:14,800 --> 00:53:17,400
Speaker 2: me tell you it exists across state lines too. You know,

969
00:53:17,440 --> 00:53:19,800
Speaker 2: if I go to the National Conference of State Legislatures,

970
00:53:19,840 --> 00:53:22,440
Speaker 2: I'll sit next to a a very liberal Democrat from

971
00:53:22,480 --> 00:53:24,799
Speaker 2: Maryland and a very conservative Republican from Utah, and they

972
00:53:24,840 --> 00:53:28,760
Speaker 2: have a perfectly pleasant conversation about education policy or whatever

973
00:53:28,760 --> 00:53:29,440
Speaker 2: it happens to be.

974
00:53:29,719 --> 00:53:31,759
Speaker 3: And I mean, I think largely that's because they're not

975
00:53:31,800 --> 00:53:32,719
Speaker 3: competing with each other.

976
00:53:32,760 --> 00:53:35,200
Speaker 2: There's no chance those two will ever run against each

977
00:53:35,200 --> 00:53:38,800
Speaker 2: other or seek control by trying to beat the other person.

978
00:53:39,040 --> 00:53:42,040
Speaker 3: So there is that level of comedy in most states,

979
00:53:42,719 --> 00:53:44,040
Speaker 3: but certainly not everywhere.

980
00:53:45,120 --> 00:53:47,920
Speaker 1: And would you say, you know, one of the other

981
00:53:48,000 --> 00:53:50,560
Speaker 1: interesting trends, and you were you were early on spotting

982
00:53:50,600 --> 00:53:53,760
Speaker 1: this is that you know, the better members of Congress

983
00:53:53,760 --> 00:53:56,400
Speaker 1: are the ones that were in state legislatures and the

984
00:53:57,239 --> 00:54:01,000
Speaker 1: basically the crop members, the performers, usually the ones that

985
00:54:01,040 --> 00:54:03,799
Speaker 1: weren't in state legislatures. That's still the case. Are we

986
00:54:03,840 --> 00:54:08,560
Speaker 1: starting to are we starting to see the performance influencer

987
00:54:09,080 --> 00:54:12,200
Speaker 1: mindset infecting state legislatures now too?

988
00:54:12,640 --> 00:54:15,360
Speaker 2: No, I think it's it's it is still the case,

989
00:54:16,239 --> 00:54:19,279
Speaker 2: largely because you know, I think the people who are

990
00:54:19,320 --> 00:54:21,719
Speaker 2: most effective are the ones who understand the rules. That's

991
00:54:21,719 --> 00:54:24,239
Speaker 2: sort of my guiding prints of politics. The people who

992
00:54:24,239 --> 00:54:26,440
Speaker 2: get the rules are the ones who actually get stuff done.

993
00:54:26,560 --> 00:54:27,719
Speaker 3: And I think, hey, that was.

994
00:54:27,719 --> 00:54:29,640
Speaker 1: True with Mitch McConnell, right, that dude knew how to

995
00:54:29,760 --> 00:54:31,920
Speaker 1: knew how to manipulate the rules. Sometimes did it with

996
00:54:31,960 --> 00:54:35,200
Speaker 1: the Nancy Pelosi. I mean, you're right if you understand

997
00:54:36,080 --> 00:54:41,160
Speaker 1: the rules, particularly of your chamber, better than the person sponsoring,

998
00:54:41,239 --> 00:54:43,839
Speaker 1: you know, a BILLI you don't like, now you got

999
00:54:43,840 --> 00:54:44,480
Speaker 1: some leverage.

1000
00:54:44,600 --> 00:54:46,279
Speaker 2: Yeah, And I mean I always go back to the

1001
00:54:46,480 --> 00:54:49,400
Speaker 2: two thousand and eight Democratic primary, right when the Clinton

1002
00:54:49,400 --> 00:54:52,400
Speaker 2: campaign understood and didn't understand the delegate rules as well

1003
00:54:52,440 --> 00:54:55,120
Speaker 2: as the Obama campaign did. And so you know, Obama

1004
00:54:55,160 --> 00:54:57,319
Speaker 2: was going around picking off delegates here and there and

1005
00:54:57,440 --> 00:54:58,759
Speaker 2: ended up ended up winning the race.

1006
00:54:58,800 --> 00:55:05,080
Speaker 1: Of course. So going back on AI on what are

1007
00:55:05,239 --> 00:55:10,319
Speaker 1: what is the most what has been the easiest regulation

1008
00:55:10,719 --> 00:55:14,120
Speaker 1: to get passed on the state level on the AI front.

1009
00:55:14,080 --> 00:55:16,919
Speaker 2: Yeah, the thing that most people are are doing now

1010
00:55:16,960 --> 00:55:19,480
Speaker 2: and that that is the bipartisan trend between the you know,

1011
00:55:19,520 --> 00:55:21,719
Speaker 2: the Connecticut version of Bill and the Colorado version of

1012
00:55:21,840 --> 00:55:26,600
Speaker 2: Texas version has been to limit algorithmic discrimination. So if

1013
00:55:26,640 --> 00:55:31,160
Speaker 2: you're you know, seeking housing or or a medical care

1014
00:55:31,200 --> 00:55:33,520
Speaker 2: or something like that, a lot of states are passing

1015
00:55:33,560 --> 00:55:36,640
Speaker 2: rules that say that AI cannot deny you.

1016
00:55:36,560 --> 00:55:38,080
Speaker 3: Without the oversight of a human.

1017
00:55:38,120 --> 00:55:40,040
Speaker 2: So a human has to go in and make sure

1018
00:55:40,080 --> 00:55:44,960
Speaker 2: that your application isn't isn't denied for unfair reasons.

1019
00:55:45,080 --> 00:55:46,640
Speaker 3: You know, these algorithms they learn.

1020
00:55:46,560 --> 00:55:49,279
Speaker 2: Things and and they learn from us, and you know,

1021
00:55:49,480 --> 00:55:53,520
Speaker 2: society has its problems with racism and sexism and things

1022
00:55:53,560 --> 00:55:56,920
Speaker 2: like that. So it's it's going to deny people based

1023
00:55:56,920 --> 00:55:59,399
Speaker 2: on things that it shouldn't deny. So that's I think

1024
00:55:59,440 --> 00:56:01,720
Speaker 2: that's been the real common thread. That's the low hanging fruit.

1025
00:56:02,920 --> 00:56:05,439
Speaker 1: Who regulates that though, I mean, I look, I want

1026
00:56:05,480 --> 00:56:08,160
Speaker 1: it too, but I have not found the federal government

1027
00:56:08,520 --> 00:56:11,040
Speaker 1: like I look, I think all algorithms should go away.

1028
00:56:11,239 --> 00:56:14,240
Speaker 1: I don't think there's any upside to it, or certainly

1029
00:56:14,320 --> 00:56:18,360
Speaker 1: algorithms should be only allowed only allowed to work based

1030
00:56:18,440 --> 00:56:22,680
Speaker 1: on users giving permission versus the other way around. Right

1031
00:56:22,760 --> 00:56:25,640
Speaker 1: right now, the other way around is you know, they

1032
00:56:25,640 --> 00:56:28,600
Speaker 1: see you know, it's like we have to uh, agree

1033
00:56:29,000 --> 00:56:31,880
Speaker 1: to the parameters that they set in order to use

1034
00:56:31,920 --> 00:56:34,160
Speaker 1: a product versus the other way around. Right, We've just

1035
00:56:34,560 --> 00:56:39,400
Speaker 1: this is unfortunately the mindset. So, I mean enforcement seems

1036
00:56:39,400 --> 00:56:42,120
Speaker 1: to me the part of this that I don't that

1037
00:56:42,200 --> 00:56:43,040
Speaker 1: isn't obvious to.

1038
00:56:43,040 --> 00:56:46,680
Speaker 2: Me, right, And the enforcement usually takes place within within

1039
00:56:46,719 --> 00:56:49,720
Speaker 2: an agency itself or with the with the attorney generals.

1040
00:56:49,800 --> 00:56:54,839
Speaker 1: What state has this kind of uh what state has

1041
00:56:54,880 --> 00:56:57,800
Speaker 1: this kind of brain power to do this? No offense?

1042
00:56:57,880 --> 00:57:00,760
Speaker 1: But I mean we all know on a government salary,

1043
00:57:00,800 --> 00:57:02,880
Speaker 1: you're not going to get the people that understand that

1044
00:57:03,320 --> 00:57:05,200
Speaker 1: understand code as well as the people writing.

1045
00:57:05,480 --> 00:57:05,719
Speaker 3: Well.

1046
00:57:05,760 --> 00:57:08,040
Speaker 2: Sure, but I think in this case it's it's more

1047
00:57:08,080 --> 00:57:11,680
Speaker 2: a sort of a policy examiner. So if it has

1048
00:57:11,719 --> 00:57:13,240
Speaker 2: to do with housing, you're going to have the housing

1049
00:57:13,280 --> 00:57:16,440
Speaker 2: agency overseeing, uh that kind of decision. If if it

1050
00:57:16,440 --> 00:57:18,240
Speaker 2: has to do with medical care, you know you're going

1051
00:57:18,280 --> 00:57:20,120
Speaker 2: to have the state Department of Health and Human Services

1052
00:57:20,400 --> 00:57:21,960
Speaker 2: overseeing something like that.

1053
00:57:22,160 --> 00:57:24,480
Speaker 3: You don't I don't think you need the AI coder.

1054
00:57:24,560 --> 00:57:26,920
Speaker 2: Uh to go in and make sure that you know,

1055
00:57:27,400 --> 00:57:30,640
Speaker 2: John Doe's medical procedure was denied for a you know,

1056
00:57:30,760 --> 00:57:31,520
Speaker 2: incorrect reason.

1057
00:57:31,520 --> 00:57:34,120
Speaker 3: You need an insurance examiner a medical examiner or something

1058
00:57:34,120 --> 00:57:34,400
Speaker 3: like that.

1059
00:57:35,200 --> 00:57:38,560
Speaker 2: So this is but to your broader point, this is

1060
00:57:38,600 --> 00:57:41,760
Speaker 2: a huge deal that every state is dealing with. They

1061
00:57:41,800 --> 00:57:43,520
Speaker 2: know that the you know, the wave of the future.

1062
00:57:45,560 --> 00:57:47,480
Speaker 2: What's the old line, like, your job isn't going to

1063
00:57:47,480 --> 00:57:49,240
Speaker 2: be taken by AI, but your job is going to

1064
00:57:49,240 --> 00:57:51,760
Speaker 2: be taken by somebody who understands AI. And a lot

1065
00:57:51,760 --> 00:57:55,360
Speaker 2: of states are looking for that workforce. Who in the

1066
00:57:55,360 --> 00:57:57,960
Speaker 2: workforce that's going to understand the AI of the future,

1067
00:57:58,000 --> 00:58:00,439
Speaker 2: because there are a lot of things that that AI

1068
00:58:00,560 --> 00:58:06,440
Speaker 2: could streamline, a driver's license renewals, or just the basic

1069
00:58:06,480 --> 00:58:11,000
Speaker 2: government functions of the sort of lower level of intro

1070
00:58:11,640 --> 00:58:15,760
Speaker 2: employee new employee that could be made more efficient, so

1071
00:58:15,880 --> 00:58:18,480
Speaker 2: long as you have the workforce there that understands how

1072
00:58:18,480 --> 00:58:21,520
Speaker 2: to create those efficiencies. And I think that's where that's

1073
00:58:21,520 --> 00:58:25,160
Speaker 2: where we're seeing a bit of a problem in state workforces.

1074
00:58:25,160 --> 00:58:25,360
Speaker 3: Now.

1075
00:58:25,400 --> 00:58:28,120
Speaker 2: There's a huge wave of baby boomers who are retiring

1076
00:58:28,720 --> 00:58:30,919
Speaker 2: and there are not a ton of people who are

1077
00:58:31,280 --> 00:58:32,840
Speaker 2: coming in to take those jobs.

1078
00:58:32,880 --> 00:58:35,360
Speaker 1: So AI is almost there's almost an urgency to get

1079
00:58:35,360 --> 00:58:39,080
Speaker 1: it going in order to fill gaps that they see

1080
00:58:39,160 --> 00:58:41,000
Speaker 1: right now due to retired government.

1081
00:58:41,200 --> 00:58:44,440
Speaker 2: Yeah, and just to streamline government, make it more efficient.

1082
00:58:45,000 --> 00:58:47,880
Speaker 2: That's something that I could could do in a positive way,

1083
00:58:48,440 --> 00:58:52,760
Speaker 2: so long as you have those algorithmic discrimination protections over.

1084
00:58:52,560 --> 00:58:53,160
Speaker 3: The top of it.

1085
00:58:53,800 --> 00:58:56,840
Speaker 1: A derivative of the AI issue is access to power.

1086
00:58:57,320 --> 00:59:02,680
Speaker 1: And you may be loosening regular relations for small nuclear

1087
00:59:02,720 --> 00:59:06,640
Speaker 1: power plants, right and things like this. What what is

1088
00:59:06,680 --> 00:59:11,400
Speaker 1: the trend? And is our legislatures basically rolling over for

1089
00:59:11,400 --> 00:59:14,840
Speaker 1: for the for these industries to to hand them any

1090
00:59:15,000 --> 00:59:19,880
Speaker 1: anything they want in order to experiment with power or

1091
00:59:21,320 --> 00:59:23,320
Speaker 1: or is it is there is there some pushback?

1092
00:59:23,640 --> 00:59:25,760
Speaker 2: Yeah, so a couple of different things are happening here

1093
00:59:25,760 --> 00:59:29,760
Speaker 2: that the AI AI uses compute. Compute requires power, you know,

1094
00:59:29,800 --> 00:59:34,040
Speaker 2: electricity run These massive data centers are blowing up absolutely everywhere.

1095
00:59:34,680 --> 00:59:37,240
Speaker 2: There are some states that are that are moving to

1096
00:59:37,400 --> 00:59:40,360
Speaker 2: create as much power capacity as possible.

1097
00:59:40,920 --> 00:59:43,400
Speaker 3: Some and the and the projections.

1098
00:59:42,680 --> 00:59:44,720
Speaker 1: Are are those states that are doing that.

1099
00:59:45,200 --> 00:59:49,200
Speaker 2: Utah, Michigan, and Virginia are moving forward on the small

1100
00:59:49,240 --> 00:59:52,680
Speaker 2: module reactors, although those reactors they're going to take a while.

1101
00:59:53,320 --> 00:59:56,160
Speaker 2: Pennsylvania Meta, I think it was Meta signed a big

1102
00:59:56,200 --> 01:00:00,200
Speaker 2: deal with with three Mile Island to restart the good

1103
01:00:00,280 --> 01:00:04,200
Speaker 2: luck with that. Yeah, it's amazing that what.

1104
01:00:04,360 --> 01:00:06,600
Speaker 3: It's requiring there.

1105
01:00:06,640 --> 01:00:09,960
Speaker 2: There are some states that are moving and Mississippi is

1106
01:00:10,000 --> 01:00:12,800
Speaker 2: a good example here where they have they have approved

1107
01:00:12,800 --> 01:00:15,520
Speaker 2: so many data centers sort of as a backdoor way

1108
01:00:15,800 --> 01:00:18,280
Speaker 2: to create new power, to create the demand for new

1109
01:00:18,320 --> 01:00:21,320
Speaker 2: power that will then create the demand for coal and

1110
01:00:21,640 --> 01:00:26,040
Speaker 2: and sort of traditional power plants, if you will. The

1111
01:00:26,120 --> 01:00:31,200
Speaker 2: really sort of the third degree impact here though, is

1112
01:00:31,280 --> 01:00:33,800
Speaker 2: that these data centers are starting to cost states a

1113
01:00:33,840 --> 01:00:34,720
Speaker 2: lot of money.

1114
01:00:34,960 --> 01:00:35,919
Speaker 3: And not just like.

1115
01:00:35,880 --> 01:00:37,640
Speaker 2: You in Virginia where you live in Virginia, I don't

1116
01:00:37,640 --> 01:00:39,360
Speaker 2: know if you know this, Chuck, there is a there

1117
01:00:39,440 --> 01:00:43,280
Speaker 2: is a greater concentration of data centers in northern Virginia

1118
01:00:43,520 --> 01:00:45,400
Speaker 2: than there is anywhere else in so.

1119
01:00:45,600 --> 01:00:47,200
Speaker 1: Oh reed, Look, let me tell you a little something

1120
01:00:47,240 --> 01:00:51,000
Speaker 1: about our alma mater. Yeah, and w owns a bunch

1121
01:00:51,000 --> 01:00:54,360
Speaker 1: of land out there, loud m It is the last

1122
01:00:54,560 --> 01:00:58,240
Speaker 1: piece of land that is zoned for a data center.

1123
01:00:58,960 --> 01:01:02,000
Speaker 1: It is worth a bunch of extra money now because

1124
01:01:02,000 --> 01:01:05,200
Speaker 1: there's suddenly nobody wants to give more permission for this,

1125
01:01:05,760 --> 01:01:08,640
Speaker 1: right there is suddenly what you just described. So it's interesting.

1126
01:01:08,680 --> 01:01:12,480
Speaker 1: There's a look, you know, universities are looking for new

1127
01:01:12,680 --> 01:01:15,960
Speaker 1: pockets of money asap, right, so they It may be

1128
01:01:16,000 --> 01:01:19,480
Speaker 1: good news for GW, but it is interesting. It's funny

1129
01:01:19,480 --> 01:01:21,840
Speaker 1: you brought this up because I've learned this that you know,

1130
01:01:21,920 --> 01:01:25,000
Speaker 1: Louden was very open to this until they weren't. Right

1131
01:01:25,040 --> 01:01:27,960
Speaker 1: all of a sudden, now Louden residents are fighting this

1132
01:01:28,080 --> 01:01:30,600
Speaker 1: and there are others that don't want Suddenly there's a

1133
01:01:31,280 --> 01:01:33,880
Speaker 1: pushback against these data centers.

1134
01:01:33,880 --> 01:01:35,240
Speaker 3: Correct, and yes there is.

1135
01:01:35,280 --> 01:01:37,160
Speaker 2: And by the way, it's being led in the Virginia

1136
01:01:37,240 --> 01:01:40,800
Speaker 2: legislature by another former Hotliner stay centered, Danica Rome.

1137
01:01:41,080 --> 01:01:46,080
Speaker 1: Oh, Danica, you're right, thelight boy. We cast so much trouble, don't.

1138
01:01:45,920 --> 01:01:48,160
Speaker 2: We because she keeps bringing all these anti data center

1139
01:01:48,200 --> 01:01:49,960
Speaker 2: bills and haven't haven't passed yet.

1140
01:01:49,960 --> 01:01:53,160
Speaker 1: But she reps Louden, I believe, right, a big chunkle

1141
01:01:53,200 --> 01:01:53,920
Speaker 1: loud Yeah, yep.

1142
01:01:55,840 --> 01:01:57,479
Speaker 2: I'll tell you a funny story when when she worked

1143
01:01:57,480 --> 01:01:59,720
Speaker 2: at the hotline, uh, you know, we had to be

1144
01:01:59,760 --> 01:02:01,520
Speaker 2: in the off is at six am. Right. Of course,

1145
01:02:01,760 --> 01:02:05,160
Speaker 2: she was late frequently and I you know, got mad

1146
01:02:05,200 --> 01:02:07,560
Speaker 2: and yelled at her once. Well you know Route twenty eight,

1147
01:02:07,640 --> 01:02:11,919
Speaker 2: Route twenty well, you know, to her credit, she ran

1148
01:02:11,960 --> 01:02:14,800
Speaker 2: her entire first campaign promising to fix the Route twenty

1149
01:02:14,840 --> 01:02:15,320
Speaker 2: eight right.

1150
01:02:15,600 --> 01:02:17,760
Speaker 1: So it turns out she wasn't b s U right,

1151
01:02:17,880 --> 01:02:19,840
Speaker 1: Like it wasn't just like my dog ate my homework.

1152
01:02:19,920 --> 01:02:21,960
Speaker 2: Yeah, let me let me make one more point on

1153
01:02:22,000 --> 01:02:24,240
Speaker 2: these data centers, which which I think is interesting. They

1154
01:02:24,280 --> 01:02:26,560
Speaker 2: are they are starting to cost states a lot more

1155
01:02:26,600 --> 01:02:29,880
Speaker 2: money in the incentives. Like we talked about with the stadiums,

1156
01:02:30,200 --> 01:02:33,800
Speaker 2: the amount of money that states are paying to locate

1157
01:02:33,840 --> 01:02:36,760
Speaker 2: these data centers in their areas is through the roof.

1158
01:02:36,800 --> 01:02:39,560
Speaker 1: I mean, there's not a lot of jobs associated with

1159
01:02:39,680 --> 01:02:41,800
Speaker 1: not right, and it was a automated crap.

1160
01:02:41,960 --> 01:02:43,920
Speaker 2: I mean, and we're talking, you know, close to half

1161
01:02:43,960 --> 01:02:47,640
Speaker 2: a billion dollars this year in subsidies alone. So these

1162
01:02:47,680 --> 01:02:50,600
Speaker 2: states passed a lot of incentives four or five years

1163
01:02:50,640 --> 01:02:53,080
Speaker 2: ago that now these data centers are realizing, hey we

1164
01:02:53,120 --> 01:02:55,080
Speaker 2: can we can claw back a whole bunch of tax

1165
01:02:55,120 --> 01:02:57,840
Speaker 2: revenue and things like that, and so they're building it.

1166
01:02:57,840 --> 01:02:58,600
Speaker 3: And now that now the.

1167
01:02:58,560 --> 01:03:01,560
Speaker 2: State budgets are exploding because of these data centers. So

1168
01:03:01,760 --> 01:03:03,000
Speaker 2: I think in the next couple of years you're going

1169
01:03:03,000 --> 01:03:05,080
Speaker 2: to see legislators trying to sunset a lot of these

1170
01:03:05,120 --> 01:03:05,920
Speaker 2: incentive backs.

1171
01:03:06,560 --> 01:03:09,320
Speaker 1: Two more hot button issues that I know are royaling

1172
01:03:09,480 --> 01:03:17,120
Speaker 1: multiple state legislatures. One is housing and zoning. And you know, look,

1173
01:03:17,520 --> 01:03:20,280
Speaker 1: you know, whatever neighborhood if you live, you know, suburban

1174
01:03:20,280 --> 01:03:23,200
Speaker 1: neighborhoods have these fights. This is county level stuff. But

1175
01:03:23,320 --> 01:03:25,840
Speaker 1: then states are trying to deal with it. We we

1176
01:03:25,960 --> 01:03:29,320
Speaker 1: know California is you know, how do you? San Jose

1177
01:03:29,440 --> 01:03:32,160
Speaker 1: has these where you can take your backyard garage and

1178
01:03:32,200 --> 01:03:34,920
Speaker 1: turn it into an apartment, standalonepartment. I think they are

1179
01:03:34,920 --> 01:03:37,760
Speaker 1: actually going to sell these things, of these little micro properties.

1180
01:03:38,560 --> 01:03:39,960
Speaker 1: I think they call them ad us.

1181
01:03:40,640 --> 01:03:42,960
Speaker 3: Well huge right legislatures.

1182
01:03:43,160 --> 01:03:50,600
Speaker 1: And so is that is how is that a polarizing issue? Uh?

1183
01:03:50,920 --> 01:03:53,600
Speaker 1: And is it? I assume it's pitting geographic areas against

1184
01:03:53,640 --> 01:03:57,680
Speaker 1: each other rather necessarily than partisan ship. Correct, Yeah, it is.

1185
01:03:57,720 --> 01:04:01,640
Speaker 2: And we're seeing we're seeing something very clever is happening

1186
01:04:01,920 --> 01:04:03,720
Speaker 2: right now. A lot of states have taken up big

1187
01:04:03,760 --> 01:04:08,000
Speaker 2: housing packages in recent years. Colorado, Oregon, New Mexico, Uh,

1188
01:04:08,320 --> 01:04:10,240
Speaker 2: your home state of Florida, my home state of Washington

1189
01:04:10,360 --> 01:04:15,520
Speaker 2: both changed single family zoning laws recently, uh in certain

1190
01:04:15,520 --> 01:04:18,360
Speaker 2: cities to allow more you know, multi multi family housing.

1191
01:04:19,760 --> 01:04:22,840
Speaker 2: So yeah, this becomes a huge nimbi issue, right Uh,

1192
01:04:23,080 --> 01:04:27,080
Speaker 2: where the locals don't want new housing coming in because

1193
01:04:27,080 --> 01:04:31,000
Speaker 2: it I don't know, devalues their housing, their housing market

1194
01:04:31,120 --> 01:04:31,440
Speaker 2: or whatever.

1195
01:04:31,520 --> 01:04:34,600
Speaker 1: Yeah, they think it does it. You know, well I

1196
01:04:34,640 --> 01:04:38,120
Speaker 1: know this. Over time, all it does is increase you know,

1197
01:04:38,520 --> 01:04:41,360
Speaker 1: increase value. It also does it always.

1198
01:04:41,400 --> 01:04:43,800
Speaker 2: The clever thing that's happening in a lot of these

1199
01:04:43,800 --> 01:04:47,320
Speaker 2: states is that the city councils in some of these

1200
01:04:47,360 --> 01:04:50,600
Speaker 2: areas where the nimbi's are strong, will go to the

1201
01:04:50,720 --> 01:04:52,720
Speaker 2: legislator I talked to. I talked to a legislator in

1202
01:04:52,760 --> 01:04:54,440
Speaker 2: Colorado about this. She told me she was getting a

1203
01:04:54,440 --> 01:04:56,800
Speaker 2: whole bunch of phone calls from the city councils in

1204
01:04:56,840 --> 01:04:59,840
Speaker 2: all the mountain towns saying, you guys have to preempt

1205
01:04:59,920 --> 01:05:00,600
Speaker 2: up now.

1206
01:05:00,680 --> 01:05:04,440
Speaker 3: Ordinarily you know this. Cities hate being funny by the state.

1207
01:05:04,480 --> 01:05:06,480
Speaker 1: Because they said they knew it's a popular like, look,

1208
01:05:06,480 --> 01:05:08,000
Speaker 1: we're not gonna be able to deal with this. Don't

1209
01:05:08,000 --> 01:05:09,400
Speaker 1: make us do it. If it's right.

1210
01:05:09,680 --> 01:05:11,520
Speaker 3: The state is the one setting the rules.

1211
01:05:11,800 --> 01:05:13,440
Speaker 2: The local guys get to say, look at the big

1212
01:05:13,480 --> 01:05:14,920
Speaker 2: bad guys up there at the state capitol.

1213
01:05:14,920 --> 01:05:17,760
Speaker 3: It's not us they get. You know, the locals get reelected.

1214
01:05:17,920 --> 01:05:20,120
Speaker 2: The state legislators mostly get re elected because they're in

1215
01:05:20,240 --> 01:05:21,320
Speaker 2: Denver or Boulder.

1216
01:05:21,080 --> 01:05:24,840
Speaker 3: Or wherever, and you get more housing in these mountaintowns.

1217
01:05:24,840 --> 01:05:28,720
Speaker 2: So those those conversations happen behind closed doors, and more

1218
01:05:28,720 --> 01:05:32,120
Speaker 2: and more housing comes to these areas. So we're seeing

1219
01:05:32,240 --> 01:05:34,080
Speaker 2: I mean, we're seeing a lot of big housing packages

1220
01:05:34,120 --> 01:05:37,200
Speaker 2: that focus on zoning, that focus on those alternatives.

1221
01:05:37,000 --> 01:05:38,880
Speaker 3: Dwelling units, things like that.

1222
01:05:38,960 --> 01:05:42,240
Speaker 2: But I mean, there's no question there's a massive housing

1223
01:05:42,280 --> 01:05:46,560
Speaker 2: crisis across the country. I mean, in Rhode Island, there's

1224
01:05:46,560 --> 01:05:49,680
Speaker 2: a story in the Providence Journal today that the median

1225
01:05:49,760 --> 01:05:51,880
Speaker 2: housing cost in Rhode Island for a single family home

1226
01:05:51,960 --> 01:05:53,360
Speaker 2: is now north of half a million dollars.

1227
01:05:53,480 --> 01:05:55,320
Speaker 3: You know, in California it's north of a million dollars.

1228
01:05:55,880 --> 01:05:58,720
Speaker 2: So yeah, it's every state knows they've got to build

1229
01:05:58,720 --> 01:06:00,720
Speaker 2: this housing as as possible.

1230
01:06:00,920 --> 01:06:02,880
Speaker 3: The problem is to take so long.

1231
01:06:10,040 --> 01:06:12,440
Speaker 1: You know. Rita was funny. Every member of Congress I

1232
01:06:12,520 --> 01:06:15,520
Speaker 1: talked with last year, and I would say, hey, what's

1233
01:06:15,560 --> 01:06:18,560
Speaker 1: an issue you never talk you never bring up, but

1234
01:06:18,600 --> 01:06:20,920
Speaker 1: your voters always bring up to you. And they all

1235
01:06:20,920 --> 01:06:23,760
Speaker 1: set housing. You know, it was one of those they say,

1236
01:06:23,760 --> 01:06:25,880
Speaker 1: we don't talk about enough. You guys don't ask meaning

1237
01:06:26,000 --> 01:06:28,560
Speaker 1: us in the national media. We don't ask enough about it,

1238
01:06:28,680 --> 01:06:31,000
Speaker 1: and partially because we all know it's a local issue, right,

1239
01:06:31,040 --> 01:06:33,240
Speaker 1: you know, there's not really much the FEDS can do

1240
01:06:33,280 --> 01:06:36,240
Speaker 1: about it. But that doesn't mean people don't go to

1241
01:06:36,280 --> 01:06:38,560
Speaker 1: their congressmen and complain about local things. Right, You're like,

1242
01:06:38,640 --> 01:06:41,000
Speaker 1: come on, like, we've got a problem here. You know,

1243
01:06:41,400 --> 01:06:44,160
Speaker 1: I don't know if it's necessarily something the FEDS can

1244
01:06:44,200 --> 01:06:46,240
Speaker 1: deal with, as much as this really is a state

1245
01:06:46,280 --> 01:06:49,360
Speaker 1: local issue. The other one is the privatization of the

1246
01:06:49,360 --> 01:06:53,640
Speaker 1: public school system, which seems to be certainly that is

1247
01:06:53,680 --> 01:06:57,440
Speaker 1: probably a partisan that obviously is falling along partisan lines.

1248
01:06:57,960 --> 01:07:00,640
Speaker 1: But you know, the destruction of the public school system

1249
01:07:00,640 --> 01:07:03,840
Speaker 1: in Miami has just been just heartbreaking for me and

1250
01:07:03,920 --> 01:07:06,040
Speaker 1: a lot of people. And it's all over Florida's got

1251
01:07:06,120 --> 01:07:10,920
Speaker 1: huge gaps here. Texas is about to go on this

1252
01:07:11,000 --> 01:07:14,160
Speaker 1: and they've already had a very antiquated public school where

1253
01:07:14,240 --> 01:07:16,080
Speaker 1: basically you and I could say, hey, we're starting a

1254
01:07:16,080 --> 01:07:19,880
Speaker 1: school district, not just the school, you know, not just homeschool.

1255
01:07:19,920 --> 01:07:21,760
Speaker 1: You can start your own school district in Texas and

1256
01:07:21,800 --> 01:07:26,080
Speaker 1: then suddenly collect public tax dollars and that you may

1257
01:07:26,160 --> 01:07:30,760
Speaker 1: or may not have to account for. So obviously I

1258
01:07:30,800 --> 01:07:32,960
Speaker 1: have strong feelings about this because I just think we

1259
01:07:33,040 --> 01:07:35,280
Speaker 1: have problems in our public school system. This is not

1260
01:07:35,320 --> 01:07:37,960
Speaker 1: the way to address it. That's my frustration with this.

1261
01:07:38,160 --> 01:07:43,480
Speaker 1: But is a is in these conservative legislatures? Is this

1262
01:07:43,640 --> 01:07:47,800
Speaker 1: just a I mean, it's just an avalanche that's coming

1263
01:07:47,840 --> 01:07:51,440
Speaker 1: and the privatization of our public education system is only increasing.

1264
01:07:51,800 --> 01:07:54,320
Speaker 3: Yeah. So this is why Player of US News exists.

1265
01:07:54,400 --> 01:07:57,800
Speaker 2: Like we our goal here is not to cover, you know,

1266
01:07:57,840 --> 01:08:00,760
Speaker 2: everything that happens in one state's legislature, to spot the

1267
01:08:00,800 --> 01:08:03,400
Speaker 2: trends that happened across the country. And the very first

1268
01:08:03,440 --> 01:08:06,880
Speaker 2: trend that we started following three years ago when we

1269
01:08:07,040 --> 01:08:11,120
Speaker 2: kicked off, was this push to expand school vouchers. And

1270
01:08:11,320 --> 01:08:13,400
Speaker 2: Iowa was the first state. And by the way, this

1271
01:08:13,440 --> 01:08:15,200
Speaker 2: is why it's important to pay attention to more than

1272
01:08:15,240 --> 01:08:16,560
Speaker 2: just California and Texas.

1273
01:08:16,320 --> 01:08:16,800
Speaker 3: And New York.

1274
01:08:17,000 --> 01:08:19,400
Speaker 2: You know, Iowa is a real leader these days in

1275
01:08:19,439 --> 01:08:22,240
Speaker 2: conservative policy. They were the first ones to kick off

1276
01:08:22,760 --> 01:08:25,519
Speaker 2: this voucher push. Governor Reynolds signed the bill like two

1277
01:08:25,560 --> 01:08:26,400
Speaker 2: weeks into session.

1278
01:08:26,680 --> 01:08:29,400
Speaker 1: Of course, Jeb Bush started this and Flay I did,

1279
01:08:29,520 --> 01:08:32,320
Speaker 1: I mean, everybody is this is derivative of the Florida Plan.

1280
01:08:32,560 --> 01:08:34,800
Speaker 2: This is the latest This is the latest push, and

1281
01:08:34,880 --> 01:08:38,280
Speaker 2: after Iowa did it, about two dozen states followed suits,

1282
01:08:38,720 --> 01:08:40,160
Speaker 2: most recently in Texas.

1283
01:08:40,439 --> 01:08:44,960
Speaker 1: Iowa has a Democratic governor in eighteen months. It'll be

1284
01:08:44,960 --> 01:08:46,080
Speaker 1: because of this issue, I.

1285
01:08:46,040 --> 01:08:50,040
Speaker 2: Believe very well. Maybe. But the interesting thing that we're

1286
01:08:50,040 --> 01:08:52,519
Speaker 2: seeing now, so this happens in steps. First of all,

1287
01:08:52,600 --> 01:08:55,880
Speaker 2: you establish a program usually for people who are three

1288
01:08:55,920 --> 01:08:59,200
Speaker 2: hundred to four hundred percent of the medium by the

1289
01:08:59,240 --> 01:09:01,920
Speaker 2: poverty level, poverty level which is what eighty to one

1290
01:09:01,960 --> 01:09:05,759
Speaker 2: hundred thousand dollars total. Then the pool begins to expand,

1291
01:09:05,840 --> 01:09:07,680
Speaker 2: and you expand it to people who make up to

1292
01:09:07,680 --> 01:09:09,560
Speaker 2: two hundred thousand, are up to five hundred thousand, and

1293
01:09:09,560 --> 01:09:12,479
Speaker 2: then everybody who you know had disabled students or special

1294
01:09:12,520 --> 01:09:15,679
Speaker 2: needs students are included too. And then we go universe.

1295
01:09:15,840 --> 01:09:18,000
Speaker 2: And that's the that's the latest thing that we've seen

1296
01:09:18,040 --> 01:09:21,439
Speaker 2: here is a number of states expanding that eligibility pool

1297
01:09:21,600 --> 01:09:26,320
Speaker 2: to all kids in their state, places like New Hampshire, Iowa,

1298
01:09:26,520 --> 01:09:28,320
Speaker 2: Arkansas just did it.

1299
01:09:28,800 --> 01:09:30,799
Speaker 3: Texas is taking that first step.

1300
01:09:30,840 --> 01:09:33,200
Speaker 2: After you talked about the three parties in Texas well,

1301
01:09:33,200 --> 01:09:36,040
Speaker 2: the Texas House, the Republican held Texas House, was where

1302
01:09:36,120 --> 01:09:39,240
Speaker 2: voucher bills went to die Unbitt spent a whole bunch

1303
01:09:39,280 --> 01:09:42,480
Speaker 2: of money primary ing all the anti voucher members.

1304
01:09:42,240 --> 01:09:43,719
Speaker 3: And he finally got it through this year.

1305
01:09:44,000 --> 01:09:47,240
Speaker 2: So the just like we talked about with the data

1306
01:09:47,240 --> 01:09:50,720
Speaker 2: centers here, when you go to that universal eligibility like

1307
01:09:50,800 --> 01:09:54,120
Speaker 2: Iowa did, the amount of money that that costs the

1308
01:09:54,120 --> 01:09:58,040
Speaker 2: public school systems explodes. We're talking, I mean, you know,

1309
01:09:58,080 --> 01:10:02,240
Speaker 2: fifty sixty seventy million dollars over what states had budgeted

1310
01:10:02,640 --> 01:10:06,120
Speaker 2: in small states like Iowa and Arkansas, so legislators are

1311
01:10:06,120 --> 01:10:08,960
Speaker 2: having to go back to the well, spend more money

1312
01:10:08,960 --> 01:10:09,840
Speaker 2: on these on these.

1313
01:10:09,680 --> 01:10:11,960
Speaker 3: Programs, and it's costing a whole bunch of money.

1314
01:10:12,320 --> 01:10:15,160
Speaker 2: The other funny thing that happens is that the schools

1315
01:10:15,160 --> 01:10:18,559
Speaker 2: themselves respond. So in Iowa, there was a you know,

1316
01:10:18,600 --> 01:10:23,200
Speaker 2: there's a maximum amount that students can receive for these vouchers.

1317
01:10:23,240 --> 01:10:25,840
Speaker 3: I think it's nine thousand dollars a year somewhere around there.

1318
01:10:26,040 --> 01:10:28,559
Speaker 2: Well, funny enough, all the Catholic schools in Iowa change

1319
01:10:28,600 --> 01:10:31,439
Speaker 2: their tuition rates to about that nine thousand dollars a year.

1320
01:10:31,479 --> 01:10:35,400
Speaker 2: So schools themselves are raising tuition to capture as much

1321
01:10:35,400 --> 01:10:38,320
Speaker 2: as that of that money as possible, which again no it's.

1322
01:10:38,200 --> 01:10:40,559
Speaker 1: Just a wealth transfer. It's not actually doing it's not

1323
01:10:40,640 --> 01:10:46,000
Speaker 1: doing what the original do gooders thought what they were

1324
01:10:46,040 --> 01:10:48,680
Speaker 1: trying to do, right, which is, you know, how do

1325
01:10:48,720 --> 01:10:52,920
Speaker 1: you you know, how do you allow parents who are

1326
01:10:52,960 --> 01:10:56,680
Speaker 1: trapped in a bad school district to get out of

1327
01:10:56,680 --> 01:10:59,960
Speaker 1: that school district? Right? That's the original problem. And nobody

1328
01:11:00,200 --> 01:11:02,680
Speaker 1: ever thought, let's fix the school. Everybody is always like,

1329
01:11:02,760 --> 01:11:05,360
Speaker 1: let's abandon the school. And I'm trying to figure out

1330
01:11:05,400 --> 01:11:07,839
Speaker 1: how this is. You know, when you keep abandoning these schools,

1331
01:11:08,400 --> 01:11:10,840
Speaker 1: where in rural America? Are we building more schools in

1332
01:11:10,880 --> 01:11:12,920
Speaker 1: rural America to create school choice?

1333
01:11:13,320 --> 01:11:13,400
Speaker 2: You?

1334
01:11:13,720 --> 01:11:16,600
Speaker 1: I mean, this is this is the reality that I

1335
01:11:16,640 --> 01:11:20,120
Speaker 1: think Texans are going to run into and why I

1336
01:11:20,160 --> 01:11:22,559
Speaker 1: actually think this is going to turn into and why

1337
01:11:22,880 --> 01:11:25,479
Speaker 1: for instance, in Iowa this is more polarizing than you

1338
01:11:25,560 --> 01:11:29,720
Speaker 1: think it would be because you know, in theory, many

1339
01:11:29,760 --> 01:11:32,240
Speaker 1: of these conservative voters agree with the premise, and then

1340
01:11:32,240 --> 01:11:35,559
Speaker 1: the reality sets in, well, oh so I have to

1341
01:11:35,560 --> 01:11:39,640
Speaker 1: go thirty miles away or then or somebody says I'm

1342
01:11:39,640 --> 01:11:42,880
Speaker 1: going to start a school, right, and that's what you're getting.

1343
01:11:42,880 --> 01:11:45,880
Speaker 1: You're getting and some of them are good, and some

1344
01:11:45,920 --> 01:11:50,880
Speaker 1: of them are are crooked. And what I've not What

1345
01:11:50,920 --> 01:11:53,120
Speaker 1: I've also noticed is that there doesn't seem to be

1346
01:11:54,000 --> 01:11:57,759
Speaker 1: any good regulatory model to find out are these startup

1347
01:11:57,840 --> 01:12:01,880
Speaker 1: schools stealing tech expayer money or actually putting it to

1348
01:12:01,920 --> 01:12:02,360
Speaker 1: good use.

1349
01:12:03,680 --> 01:12:05,960
Speaker 2: Well, there's a there's a just just as we talked

1350
01:12:05,960 --> 01:12:08,000
Speaker 2: about in AI and these big tech companies. I mean,

1351
01:12:08,000 --> 01:12:10,760
Speaker 2: there's a booming business behind this. It's not just the

1352
01:12:10,880 --> 01:12:14,799
Speaker 2: charter schools. It's the firms that administer the education savings

1353
01:12:14,800 --> 01:12:18,240
Speaker 2: accounts or vouchers, whichever they are. You know, that's that's

1354
01:12:18,520 --> 01:12:20,240
Speaker 2: like the biggest sexy thing in the world. You're never

1355
01:12:20,240 --> 01:12:22,240
Speaker 2: going to see that on TV, but that's that's a

1356
01:12:22,240 --> 01:12:23,160
Speaker 2: lot of money right there.

1357
01:12:23,360 --> 01:12:25,200
Speaker 1: And that well, that's the thing. Like you know, look,

1358
01:12:25,240 --> 01:12:27,080
Speaker 1: I have a friend of mine who's an education lobbyist

1359
01:12:27,080 --> 01:12:31,200
Speaker 1: in Florida who was telling me that, you know, they

1360
01:12:31,280 --> 01:12:34,040
Speaker 1: keep they keep sort of starving the public school and

1361
01:12:34,080 --> 01:12:37,240
Speaker 1: they do this and then there's no there's no agency

1362
01:12:37,280 --> 01:12:41,599
Speaker 1: that holds the private charter accountable and there's no auditing

1363
01:12:41,640 --> 01:12:44,720
Speaker 1: of that money. The public school system gets audited all

1364
01:12:44,760 --> 01:12:47,439
Speaker 1: the time, right you know, there's a school board that

1365
01:12:47,479 --> 01:12:53,240
Speaker 1: oversees it. There's multiple layers of of watchdogs on that money.

1366
01:12:53,760 --> 01:12:56,920
Speaker 1: And you know, as these voucher systems have been expanded,

1367
01:12:57,520 --> 01:13:01,800
Speaker 1: there's been very little expansion of oversight welso on how

1368
01:13:01,880 --> 01:13:02,880
Speaker 1: this money is being spent.

1369
01:13:03,160 --> 01:13:05,599
Speaker 2: And this brings up another thing that legislators are doing

1370
01:13:05,640 --> 01:13:09,599
Speaker 2: these days. Chuck, define for me an educational expense because

1371
01:13:09,640 --> 01:13:11,559
Speaker 2: in Utah right now, you can pay for a ski

1372
01:13:11,640 --> 01:13:14,640
Speaker 2: pass with your education savings account and you can you know,

1373
01:13:14,680 --> 01:13:17,760
Speaker 2: there are whole forums on Reddit and things like that

1374
01:13:17,920 --> 01:13:18,920
Speaker 2: where you can use.

1375
01:13:18,760 --> 01:13:21,240
Speaker 1: So signing my kids up for any sport then becomes

1376
01:13:21,280 --> 01:13:24,040
Speaker 1: an educational expense because guess what, if they're good at

1377
01:13:24,040 --> 01:13:26,080
Speaker 1: the sport, they actually might get money for it.

1378
01:13:26,400 --> 01:13:28,799
Speaker 2: Hey. I mean, you know, Chuck, if you're using YouTube

1379
01:13:28,840 --> 01:13:31,000
Speaker 2: for an educational purpose, why not. I think you need

1380
01:13:31,000 --> 01:13:33,360
Speaker 2: a big screen TV, don't you. I mean that's like

1381
01:13:33,560 --> 01:13:37,160
Speaker 2: people are gaming the system to buy things like big

1382
01:13:37,200 --> 01:13:40,360
Speaker 2: screen TVs and toys and video games and things like that.

1383
01:13:40,800 --> 01:13:44,080
Speaker 2: So now legislators are going back and further defining what

1384
01:13:44,240 --> 01:13:45,640
Speaker 2: you can actually spend that money on.

1385
01:13:46,200 --> 01:13:48,719
Speaker 3: But you know, I'll take I'll take a ski pass

1386
01:13:48,720 --> 01:13:50,559
Speaker 3: and a big screen TV if you know, for my kid.

1387
01:13:50,760 --> 01:13:53,280
Speaker 1: All right, let me tackle this school issue in other way.

1388
01:13:53,320 --> 01:13:57,360
Speaker 1: Is there anybody actually saying, hey, let's rethink the public's

1389
01:13:57,920 --> 01:14:02,679
Speaker 1: you know, the public education sytemm, but in a public

1390
01:14:02,720 --> 01:14:05,240
Speaker 1: funded way, like you know, look, I do believe we

1391
01:14:05,240 --> 01:14:08,880
Speaker 1: haven't changed the I understand the frustration, right. We haven't

1392
01:14:08,920 --> 01:14:12,320
Speaker 1: really changed the premise of our public education system since

1393
01:14:12,360 --> 01:14:15,840
Speaker 1: we created it over one hundred years ago. It's basically

1394
01:14:16,400 --> 01:14:20,240
Speaker 1: the same premise property taxes, funded district stuff like that.

1395
01:14:21,439 --> 01:14:24,160
Speaker 1: So I have no doubt. And and you know, we're

1396
01:14:23,880 --> 01:14:27,200
Speaker 1: we do everything by age. And I think now all

1397
01:14:27,240 --> 01:14:31,599
Speaker 1: the all the research indicates that learning, you know, that

1398
01:14:31,600 --> 01:14:33,880
Speaker 1: that is a you know, that is not always the

1399
01:14:33,920 --> 01:14:36,720
Speaker 1: best way to go, and that you need to have

1400
01:14:36,760 --> 01:14:37,800
Speaker 1: some of that flexibility.

1401
01:14:37,840 --> 01:14:38,200
Speaker 3: No doubt.

1402
01:14:38,280 --> 01:14:40,439
Speaker 1: Smaller class sizes help with that all those things, right,

1403
01:14:40,880 --> 01:14:43,080
Speaker 1: and certainly those with means can go to a private

1404
01:14:43,120 --> 01:14:47,439
Speaker 1: school and get a form of that. But I guess

1405
01:14:47,520 --> 01:14:50,120
Speaker 1: that's the is there is there any legislature, Is there

1406
01:14:50,120 --> 01:14:53,960
Speaker 1: any leader in this space thinking about how to create

1407
01:14:54,000 --> 01:14:57,920
Speaker 1: this flexibility in the publics, in the public sector rather

1408
01:14:57,960 --> 01:15:01,120
Speaker 1: than just farming out tax to the private sector.

1409
01:15:01,479 --> 01:15:03,240
Speaker 3: Uh, not that I can think of.

1410
01:15:03,320 --> 01:15:05,719
Speaker 2: I mean, this strikes me as one of those issues

1411
01:15:05,760 --> 01:15:09,320
Speaker 2: that sort of sort of like housing that it is

1412
01:15:09,479 --> 01:15:13,160
Speaker 2: so it is so big structurally that you would need

1413
01:15:13,240 --> 01:15:15,320
Speaker 2: a I mean, this is why we're never going to

1414
01:15:15,360 --> 01:15:18,799
Speaker 2: get a real tax reform package passed through Congress.

1415
01:15:18,880 --> 01:15:21,160
Speaker 3: You know, it's so big that anything you do is

1416
01:15:21,200 --> 01:15:22,320
Speaker 3: going to create an enemy.

1417
01:15:23,160 --> 01:15:25,760
Speaker 2: This it sort of reminds me of what they did

1418
01:15:25,800 --> 01:15:28,599
Speaker 2: in Colorado a couple of years ago with their housing package.

1419
01:15:28,640 --> 01:15:31,679
Speaker 2: They put all the bills together in one, one big

1420
01:15:31,720 --> 01:15:35,120
Speaker 2: omnibus bill, and it gave everybody just enough to hate

1421
01:15:35,439 --> 01:15:37,240
Speaker 2: that they voted it down. Well, the next year they

1422
01:15:37,280 --> 01:15:38,840
Speaker 2: came back and they introduced a lot of the same

1423
01:15:38,880 --> 01:15:41,479
Speaker 2: bills as piecemeal bills, and if you hated this one,

1424
01:15:41,479 --> 01:15:43,120
Speaker 2: you could vote against it, but you could vote for

1425
01:15:43,160 --> 01:15:43,759
Speaker 2: this one.

1426
01:15:44,200 --> 01:15:45,360
Speaker 3: Suddenly everything passed.

1427
01:15:46,200 --> 01:15:50,040
Speaker 2: This is you know, it's really hard to get a

1428
01:15:50,280 --> 01:15:54,560
Speaker 2: massive structural change through a legislature because you're giving everybody

1429
01:15:54,920 --> 01:15:57,080
Speaker 2: just enough to hate that they can vote against it

1430
01:15:57,160 --> 01:15:59,640
Speaker 2: as opposed to little piece meal stuff. And education is

1431
01:15:59,640 --> 01:16:01,840
Speaker 2: so huge, huge, I mean, you're not going to change

1432
01:16:01,840 --> 01:16:03,000
Speaker 2: the system with piecemeal stuff.

1433
01:16:03,160 --> 01:16:06,000
Speaker 1: You know, it's interesting read. I actually think this is

1434
01:16:06,040 --> 01:16:08,840
Speaker 1: an underrated issue for a presidential candidate to tackle. Like

1435
01:16:09,320 --> 01:16:11,960
Speaker 1: I can tell you this, I know, Bill Clinton, if

1436
01:16:11,960 --> 01:16:15,400
Speaker 1: this were nineteen ninety one, he'd be talking about this

1437
01:16:15,560 --> 01:16:17,960
Speaker 1: no one. You know, he knows that this is this

1438
01:16:18,000 --> 01:16:22,080
Speaker 1: is something that cuts across parties, party line. So it's

1439
01:16:22,080 --> 01:16:24,479
Speaker 1: a way that you could actually have a conversation with

1440
01:16:24,560 --> 01:16:28,599
Speaker 1: voters from different ideological stripes if you come at it

1441
01:16:28,840 --> 01:16:31,760
Speaker 1: from a hey, we know it's a problem. We need

1442
01:16:31,840 --> 01:16:33,559
Speaker 1: to we need to figure out a better way. I

1443
01:16:33,560 --> 01:16:35,479
Speaker 1: don't have the answer yet, but I know we got

1444
01:16:35,520 --> 01:16:39,000
Speaker 1: to tackle it. I actually think simply leaning in on

1445
01:16:39,040 --> 01:16:42,400
Speaker 1: that a little bit it's probably good politics right now.

1446
01:16:44,000 --> 01:16:46,479
Speaker 2: It strikes me as something like Simpson's bowl. Simpson bowls

1447
01:16:46,479 --> 01:16:48,680
Speaker 2: where you know, and when Simpson bowls it, I get

1448
01:16:48,720 --> 01:16:49,040
Speaker 2: you on that.

1449
01:16:49,200 --> 01:16:50,599
Speaker 3: Yeah, It's just it's.

1450
01:16:50,400 --> 01:16:52,120
Speaker 2: So big that everybody's going to find a reason to

1451
01:16:52,160 --> 01:16:54,400
Speaker 2: hate it.

1452
01:16:54,400 --> 01:16:57,000
Speaker 1: It's possible, I hear you on that, and it can

1453
01:16:57,040 --> 01:17:00,000
Speaker 1: get weaponized quite easily. All let's talk a little bit

1454
01:17:00,040 --> 01:17:05,479
Speaker 1: of politics in the States. You know, I can't stand

1455
01:17:05,600 --> 01:17:10,519
Speaker 1: so much of the political analysis these days nationally, particularly

1456
01:17:10,560 --> 01:17:13,040
Speaker 1: when it comes to sort of projecting the politics of

1457
01:17:13,080 --> 01:17:15,840
Speaker 1: a state, where there's always this assumption that what it

1458
01:17:15,920 --> 01:17:18,240
Speaker 1: is today is what it'll be in four years. You know,

1459
01:17:18,280 --> 01:17:20,479
Speaker 1: there's all this doom and gloom on the left about

1460
01:17:20,479 --> 01:17:22,759
Speaker 1: the Democrats are never going to control the Senate again

1461
01:17:23,320 --> 01:17:25,720
Speaker 1: because of the trend lines in different states. And I'm

1462
01:17:25,720 --> 01:17:29,280
Speaker 1: just sitting there going, God, does anybody think about history right?

1463
01:17:29,439 --> 01:17:29,519
Speaker 2: Like?

1464
01:17:29,640 --> 01:17:34,519
Speaker 1: You know, what seems absolutely certain today can change within

1465
01:17:34,680 --> 01:17:39,800
Speaker 1: a cycle. So with that said, which states that are

1466
01:17:39,920 --> 01:17:43,799
Speaker 1: perceived to be you know, fairly reliably red or fairly

1467
01:17:43,840 --> 01:17:47,840
Speaker 1: reliably blue that there's some tumult underneath that we ought

1468
01:17:47,880 --> 01:17:49,520
Speaker 1: to pay attention to these midterms.

1469
01:17:49,680 --> 01:17:52,360
Speaker 2: Yeah, I'd pay attention to a state like Wisconsin, which

1470
01:17:52,439 --> 01:17:54,000
Speaker 2: just went through a rediscerpt.

1471
01:17:54,120 --> 01:17:55,759
Speaker 3: I know, I'm just going to list all the swing states.

1472
01:17:55,760 --> 01:17:58,599
Speaker 1: You don't get to. Don't give me a presidential swing state.

1473
01:17:58,800 --> 01:18:01,479
Speaker 1: I said, reliably read reliably blue. You don't get to

1474
01:18:01,479 --> 01:18:03,680
Speaker 1: come back maybe with Wisconsin. Man. And you know what,

1475
01:18:03,760 --> 01:18:05,639
Speaker 1: because I know you, I can say that, See this

1476
01:18:05,680 --> 01:18:07,120
Speaker 1: is why you got to bring people on your pie.

1477
01:18:07,200 --> 01:18:09,599
Speaker 1: And you know, God, damn it read anyway, Sorry, kiddy,

1478
01:18:09,600 --> 01:18:10,639
Speaker 1: Thanks Jack, appreciate it.

1479
01:18:11,120 --> 01:18:13,280
Speaker 2: You bring up Iowa. Iowa was a good one. Rob

1480
01:18:13,360 --> 01:18:15,519
Speaker 2: sand is the state audit there. He's runner for governor,

1481
01:18:16,200 --> 01:18:19,960
Speaker 2: the only Democrat left in state wide office. He's young dynamic.

1482
01:18:20,000 --> 01:18:22,600
Speaker 2: He looked forgive me rob if you listen to this,

1483
01:18:22,600 --> 01:18:23,679
Speaker 2: but he looks like a teenager.

1484
01:18:24,400 --> 01:18:26,680
Speaker 1: But he's you know those blue eyes. Man, he's like,

1485
01:18:26,680 --> 01:18:28,479
Speaker 1: oh blue eyes. You know you're waiting for him to

1486
01:18:29,040 --> 01:18:33,040
Speaker 1: sing Sinatra at you. But man, he's also he's also

1487
01:18:33,560 --> 01:18:37,519
Speaker 1: like a like he's an uncomfortable Democrat and he says it,

1488
01:18:37,640 --> 01:18:40,080
Speaker 1: which might be the right, might be the right persona

1489
01:18:40,120 --> 01:18:40,880
Speaker 1: to have this scle.

1490
01:18:41,400 --> 01:18:45,160
Speaker 2: The thing that's always interested in me about states is

1491
01:18:45,479 --> 01:18:46,760
Speaker 2: about the state politics.

1492
01:18:47,080 --> 01:18:47,200
Speaker 3: Is it?

1493
01:18:47,280 --> 01:18:49,559
Speaker 2: People vote for governor differently than they do for US

1494
01:18:49,600 --> 01:18:50,960
Speaker 2: Senate seed to US House seats.

1495
01:18:51,160 --> 01:18:52,800
Speaker 1: Just go to Kansas, right, you'll find that.

1496
01:18:53,080 --> 01:18:55,400
Speaker 2: Look, yeah, Larry Hogan can win a governorship in Maryland,

1497
01:18:55,400 --> 01:18:57,519
Speaker 2: but he couldn't win a Senate seat. You know, same

1498
01:18:57,560 --> 01:19:01,160
Speaker 2: thing with Phil Bredeson and Tennessee or or I don't know.

1499
01:19:02,800 --> 01:19:06,080
Speaker 3: Dave. Did Dave run for governor percentate? I can't remember.

1500
01:19:06,120 --> 01:19:08,719
Speaker 1: But Freudenthal did and he didn't win. No, I mean absolutely,

1501
01:19:08,720 --> 01:19:10,120
Speaker 1: I think they did try to get him and he

1502
01:19:10,160 --> 01:19:11,160
Speaker 1: didn't and it didn't work.

1503
01:19:11,240 --> 01:19:13,719
Speaker 2: So, I mean there are always going to be interesting

1504
01:19:13,760 --> 01:19:16,240
Speaker 2: opportunities for ds and rs to pick up seats that

1505
01:19:16,439 --> 01:19:19,559
Speaker 2: that they they otherwise. I mean Phil Scott has been

1506
01:19:19,640 --> 01:19:22,200
Speaker 2: the governor of Vermont for four two year terms. Now,

1507
01:19:22,640 --> 01:19:25,040
Speaker 2: last time he won with seventy something percent of the vote.

1508
01:19:25,040 --> 01:19:28,240
Speaker 2: He didn't run a television ad. He a Republican winning

1509
01:19:28,280 --> 01:19:30,120
Speaker 2: in Vermont without running a TV ad.

1510
01:19:30,800 --> 01:19:34,639
Speaker 1: Every two years. Yeah, you know that's a pretty pretty

1511
01:19:34,720 --> 01:19:40,679
Speaker 1: well would I would say highly uh highly news literate state?

1512
01:19:40,760 --> 01:19:44,439
Speaker 2: Yes, yes, Well, so you know a state like Oregon

1513
01:19:44,640 --> 01:19:46,960
Speaker 2: is going to be interesting because there are you know,

1514
01:19:47,120 --> 01:19:50,719
Speaker 2: there there's a lot of unhappiness with with Democrats in Portland,

1515
01:19:51,760 --> 01:19:54,000
Speaker 2: and and you know Governor kotech Is is going to

1516
01:19:54,080 --> 01:19:54,759
Speaker 2: run for reelection.

1517
01:19:55,200 --> 01:19:56,880
Speaker 1: What are we up to? Are they the second longest

1518
01:19:56,880 --> 01:19:59,600
Speaker 1: streak after your home state of white party governorship?

1519
01:19:59,760 --> 01:19:59,800
Speaker 2: No?

1520
01:20:00,000 --> 01:20:01,320
Speaker 3: Sorry, third, third longest.

1521
01:20:01,320 --> 01:20:05,280
Speaker 2: South Dakota is the longest Republican streaky a Democrat in

1522
01:20:05,320 --> 01:20:08,439
Speaker 2: the seventies. Washington last elected a Republican in nineteen eighty

1523
01:20:08,560 --> 01:20:09,680
Speaker 2: Oregon in nineteen eighty two.

1524
01:20:10,120 --> 01:20:12,880
Speaker 1: So yeah, they're both longest. Idaho Is Idaho not in

1525
01:20:12,960 --> 01:20:13,559
Speaker 1: that top four?

1526
01:20:14,479 --> 01:20:16,880
Speaker 3: Who did Idaho have? Idaho? I had a republic a

1527
01:20:16,960 --> 01:20:20,479
Speaker 3: Democratic governor in the in the ninet nineties. I'm going

1528
01:20:20,520 --> 01:20:21,479
Speaker 3: to blank on who was.

1529
01:20:21,800 --> 01:20:23,920
Speaker 1: There was a guy named Larry Echohawk that always would

1530
01:20:23,920 --> 01:20:26,880
Speaker 1: come really close, but never never, never quite get there.

1531
01:20:27,080 --> 01:20:31,480
Speaker 2: Yeah, those Mountain West states are becoming increasingly difficult for Democrats.

1532
01:20:31,720 --> 01:20:35,120
Speaker 1: All right, when look this cycle, it's New Jersey, right,

1533
01:20:35,200 --> 01:20:37,240
Speaker 1: this is the quote reliably blue state that feels like

1534
01:20:37,320 --> 01:20:38,720
Speaker 1: it's going to be a real swing state.

1535
01:20:38,800 --> 01:20:39,880
Speaker 3: This, I'll make you bet, Chuck.

1536
01:20:40,040 --> 01:20:42,160
Speaker 2: I was talking to a Republican stratge out in Vermont

1537
01:20:42,240 --> 01:20:45,600
Speaker 2: in Virginia yesterday, and then he was talking, he was

1538
01:20:45,840 --> 01:20:48,320
Speaker 2: talking up his Well I can say this because he

1539
01:20:48,360 --> 01:20:48,720
Speaker 2: posted it.

1540
01:20:48,760 --> 01:20:50,719
Speaker 3: It's your your doppelganger, Brent Todd.

1541
01:20:52,280 --> 01:20:55,160
Speaker 2: Is working on He posted something on his blog about

1542
01:20:55,439 --> 01:20:57,040
Speaker 2: Republican chances in Virginia is here.

1543
01:20:57,320 --> 01:20:59,759
Speaker 1: I will bet you New Jersey will be closer than Virginia.

1544
01:21:00,200 --> 01:21:03,280
Speaker 1: I I, you know, sorry, but said that. I think

1545
01:21:03,320 --> 01:21:05,880
Speaker 1: I've already said that on my my pot a few times. Oh.

1546
01:21:06,000 --> 01:21:08,160
Speaker 1: I think Virginia is going to be double digits on

1547
01:21:08,200 --> 01:21:11,639
Speaker 1: the top part of the ticket probably. You know, when

1548
01:21:11,640 --> 01:21:13,960
Speaker 1: I say double digit, somewhere between that right around that

1549
01:21:14,280 --> 01:21:16,640
Speaker 1: Ralph Northam, you know, somewhere between eight and eleven. I

1550
01:21:16,680 --> 01:21:19,439
Speaker 1: mean just the federal worker stuff alone. The question is,

1551
01:21:20,600 --> 01:21:23,519
Speaker 1: is you know the and I assume Brad Todd has

1552
01:21:23,600 --> 01:21:26,040
Speaker 1: one race he cares about in Virginia. I think he's

1553
01:21:26,080 --> 01:21:29,840
Speaker 1: got the AG right, who's the only incumbent on the ballot,

1554
01:21:30,200 --> 01:21:33,679
Speaker 1: and that'll be the test, right, how strong are Spamberger's coattails?

1555
01:21:34,360 --> 01:21:36,040
Speaker 1: Does does the AG winner loose?

1556
01:21:36,240 --> 01:21:36,360
Speaker 2: Right?

1557
01:21:36,479 --> 01:21:39,679
Speaker 1: And I think it's a it's you know, I don't

1558
01:21:40,360 --> 01:21:43,200
Speaker 1: it's not the strongest down ballid ticket Democrats could have nominated.

1559
01:21:43,320 --> 01:21:46,640
Speaker 1: But guess what, it's not exactly a strong top of

1560
01:21:46,680 --> 01:21:48,799
Speaker 1: the ticket on the Republican side. So it's an interesting

1561
01:21:49,800 --> 01:21:52,599
Speaker 1: I do think Virginia AG will be in Virginia LG

1562
01:21:52,760 --> 01:21:57,160
Speaker 1: will both be weirdly closer, will be really perhaps fairly

1563
01:21:57,240 --> 01:22:00,640
Speaker 1: competitive on that front. But New Jersey there's no to me.

1564
01:22:00,800 --> 01:22:02,720
Speaker 1: I mean, and we were seeing this, I mean New

1565
01:22:02,840 --> 01:22:05,960
Speaker 1: Jersey has that you know, there was a you know,

1566
01:22:06,479 --> 01:22:12,080
Speaker 1: it has it has that blue collar Democratic labor voter

1567
01:22:12,920 --> 01:22:16,480
Speaker 1: that's culturally a bit more conservative than the average Democratic

1568
01:22:16,760 --> 01:22:17,599
Speaker 1: candidate these days.

1569
01:22:17,680 --> 01:22:20,640
Speaker 2: Yeah, and Republicans have had have sort of harbored the

1570
01:22:20,720 --> 01:22:22,160
Speaker 2: hopes of winning there for a long time.

1571
01:22:23,360 --> 01:22:25,479
Speaker 3: You'll remember this better than I did. Dick Cheney make

1572
01:22:25,479 --> 01:22:28,479
Speaker 3: it last minute stop in Jersey in two thousand or four.

1573
01:22:28,720 --> 01:22:31,000
Speaker 1: Yeah, New Jersey's always one of those states it polls,

1574
01:22:31,080 --> 01:22:32,439
Speaker 1: you know, remember you and I used to talk about

1575
01:22:32,439 --> 01:22:35,479
Speaker 1: this all the time. It always polls close because there's

1576
01:22:35,479 --> 01:22:37,960
Speaker 1: always a high undecided, right, it's a weird. There's no

1577
01:22:38,080 --> 01:22:40,720
Speaker 1: media market. It's all bleeding in. I always say I

1578
01:22:40,760 --> 01:22:43,840
Speaker 1: feel sorry for New Jersey's reputation because the only reason

1579
01:22:43,880 --> 01:22:46,120
Speaker 1: they have the reputation is sort of a scandal plague

1580
01:22:46,160 --> 01:22:48,720
Speaker 1: state is because the Philadelphia media market and the New

1581
01:22:48,800 --> 01:22:51,360
Speaker 1: York media market only covers New Jersey politics when there's

1582
01:22:51,400 --> 01:22:53,920
Speaker 1: something bad that happens. They never cover the day to

1583
01:22:54,000 --> 01:22:55,800
Speaker 1: day stuff. They cover the day to day of their

1584
01:22:55,840 --> 01:22:59,639
Speaker 1: own states, but they never cover So the outsized coverage

1585
01:22:59,640 --> 01:23:02,719
Speaker 1: of the negative of New Jersey creates this negative vibe

1586
01:23:03,240 --> 01:23:07,600
Speaker 1: unfortunately for for I think New Jersey politicians, which you know,

1587
01:23:07,880 --> 01:23:11,760
Speaker 1: it's actually a fairly competent state government, you know, whether

1588
01:23:11,840 --> 01:23:14,519
Speaker 1: it was Christian charge, Murphy in charge, et cetera. But

1589
01:23:14,640 --> 01:23:17,960
Speaker 1: it does have this this reputation. Some of it is,

1590
01:23:18,160 --> 01:23:22,160
Speaker 1: you know, an old reputation. Some of it is basically right, yeah,

1591
01:23:22,200 --> 01:23:25,120
Speaker 1: the party boss stuff that got rid of that, which

1592
01:23:25,200 --> 01:23:28,000
Speaker 1: is a you know, Andy Kim is never a US

1593
01:23:28,080 --> 01:23:31,760
Speaker 1: senator without it, you know, on that front. But there's

1594
01:23:31,760 --> 01:23:36,040
Speaker 1: definitely Jersey. Let me ask a few other states that

1595
01:23:36,240 --> 01:23:39,600
Speaker 1: I'm wondering if their legislatures have sort of pushed the

1596
01:23:39,720 --> 01:23:43,439
Speaker 1: envelope too much to give the other party a chance here.

1597
01:23:43,920 --> 01:23:48,000
Speaker 1: So do we see any green shoots for the Republicans

1598
01:23:48,040 --> 01:23:50,880
Speaker 1: in Massachusetts this cycle? They're going to go to maga

1599
01:23:51,080 --> 01:23:51,960
Speaker 1: on there there are.

1600
01:23:52,280 --> 01:23:54,200
Speaker 3: I mean, there are, there are such.

1601
01:23:56,520 --> 01:24:01,600
Speaker 2: Small you know, Republican Republican caucus in Massachusetts is so

1602
01:24:01,720 --> 01:24:04,840
Speaker 2: small that even even if they do well, you know,

1603
01:24:04,920 --> 01:24:06,759
Speaker 2: they get two or three more seats.

1604
01:24:06,800 --> 01:24:09,679
Speaker 3: And that's I mean, it's such a such a little.

1605
01:24:10,320 --> 01:24:13,639
Speaker 1: And as a Charlie Baker's not walking through that door.

1606
01:24:13,880 --> 01:24:17,000
Speaker 2: No, No, Charlie Banker and Republicans had a remarkable streak.

1607
01:24:17,040 --> 01:24:19,320
Speaker 2: But they've had They've had six of.

1608
01:24:19,360 --> 01:24:21,479
Speaker 1: The I think they've had more Republican governors in the

1609
01:24:21,560 --> 01:24:23,160
Speaker 1: last thirty years than Democratic governments.

1610
01:24:23,800 --> 01:24:26,200
Speaker 3: They certainly have, But that takes a Charlie Baker, a

1611
01:24:26,240 --> 01:24:27,360
Speaker 3: Mitt Romney something like that.

1612
01:24:28,200 --> 01:24:32,920
Speaker 1: So yeah, I am. I think Tommy, let's talk about

1613
01:24:32,920 --> 01:24:36,200
Speaker 1: the three US Senators running for governor. Tommy Tapperville, Alabama,

1614
01:24:36,280 --> 01:24:39,639
Speaker 1: Michael Bennett Colorado, Marsha Blackburn, Tennessee? Am I leaving somebody out?

1615
01:24:39,640 --> 01:24:41,479
Speaker 1: Those are the no But I don't think Blackburn has

1616
01:24:41,479 --> 01:24:43,120
Speaker 1: technically gotten in yet. But we all know, right, but

1617
01:24:43,160 --> 01:24:45,479
Speaker 1: she's already run ads like I'm sorry, Like I'm not.

1618
01:24:45,760 --> 01:24:48,000
Speaker 1: You know, she's already run ads for it. So please,

1619
01:24:49,320 --> 01:24:52,680
Speaker 1: is there a fourth that I'm missing? Right on took

1620
01:24:52,720 --> 01:24:54,600
Speaker 1: himself out of New Mexico. I know there was some

1621
01:24:54,760 --> 01:24:56,760
Speaker 1: chatter there where else was there chatter?

1622
01:24:57,640 --> 01:24:59,120
Speaker 3: I was thinking about it too. But he's not going

1623
01:24:59,160 --> 01:25:03,479
Speaker 3: to run No. I think that's all.

1624
01:25:03,439 --> 01:25:05,479
Speaker 1: Right, So let's look at those three. Bennett looks like,

1625
01:25:06,520 --> 01:25:09,640
Speaker 1: what's what am I missing? This looks like he's going

1626
01:25:09,720 --> 01:25:12,439
Speaker 1: to a walk in the park. What would prevent that?

1627
01:25:13,280 --> 01:25:16,800
Speaker 2: Yeah, Republicans haven't been I mean in Colorado is one

1628
01:25:16,840 --> 01:25:19,280
Speaker 2: of those states that gets to your point about about

1629
01:25:19,520 --> 01:25:21,040
Speaker 2: you know, sort of the evolution, right.

1630
01:25:21,120 --> 01:25:24,360
Speaker 3: It was a conservative state. Now it is a liberal state.

1631
01:25:25,240 --> 01:25:28,040
Speaker 1: And but that's too liberal. It's always what you can't

1632
01:25:28,080 --> 01:25:30,040
Speaker 1: go too far. I mean, like polis knew what he

1633
01:25:30,080 --> 01:25:32,400
Speaker 1: could and couldn't do during COVID, for instance, Right, I

1634
01:25:32,479 --> 01:25:34,400
Speaker 1: think I think he was the I think no governor

1635
01:25:34,439 --> 01:25:38,720
Speaker 1: handled COVID politically better than Jared Polis. Polis is given

1636
01:25:38,760 --> 01:25:41,839
Speaker 1: a lot of credit, but DeSantis didn't help his national reputation.

1637
01:25:41,960 --> 01:25:44,480
Speaker 1: Polis helped both his local and national reputations.

1638
01:25:44,640 --> 01:25:46,479
Speaker 3: I think, I think what we're going to see, what

1639
01:25:46,920 --> 01:25:49,280
Speaker 3: if if Polish runs for president, he's going to be.

1640
01:25:51,080 --> 01:25:51,760
Speaker 1: The centrist.

1641
01:25:52,120 --> 01:25:56,000
Speaker 2: I'm a most conservative person, democratic feed, pro business. Polis

1642
01:25:56,160 --> 01:25:58,599
Speaker 2: was never a liberal. He was He's never been a liberal.

1643
01:25:58,680 --> 01:25:58,880
Speaker 2: He was.

1644
01:25:59,000 --> 01:26:02,240
Speaker 1: No. He was the boulder Boulder thing, being a bolder congressman,

1645
01:26:02,320 --> 01:26:04,240
Speaker 1: which used to be the kiss of death for state

1646
01:26:04,280 --> 01:26:07,479
Speaker 1: wide office in Colorado. I always wonder to that about him.

1647
01:26:07,520 --> 01:26:11,599
Speaker 1: But his background was you know, he was a tech guy, right,

1648
01:26:11,720 --> 01:26:13,400
Speaker 1: and he made a bunch of money. I always say,

1649
01:26:13,560 --> 01:26:15,519
Speaker 1: do you remember in the early days of the internet

1650
01:26:15,560 --> 01:26:18,040
Speaker 1: the musical greeting cards? Right? That was him. You know.

1651
01:26:20,520 --> 01:26:23,400
Speaker 1: Alabama is the one that I think Tommy Tupperville is

1652
01:26:23,560 --> 01:26:27,760
Speaker 1: just not a good political athlete. He may be a

1653
01:26:27,960 --> 01:26:33,120
Speaker 1: good football ex football coach, but he doesn't He steps

1654
01:26:33,200 --> 01:26:35,519
Speaker 1: in it quite a bit. And as you point out,

1655
01:26:36,080 --> 01:26:40,000
Speaker 1: voters take governor's racist more seriously by the person than

1656
01:26:40,080 --> 01:26:44,360
Speaker 1: by the party. If Doug Jones runs for governor, why

1657
01:26:44,400 --> 01:26:46,280
Speaker 1: do I think that's a competitive.

1658
01:26:45,920 --> 01:26:49,479
Speaker 2: Race, it'll be competitive. I don't think it'll be I

1659
01:26:49,520 --> 01:26:52,960
Speaker 2: think Tupperville probably still wins. But by the way, he's

1660
01:26:53,000 --> 01:26:55,479
Speaker 2: a football coach. I haven't heard him mention that fifty

1661
01:26:55,560 --> 01:26:56,679
Speaker 2: times in the last hour.

1662
01:26:57,479 --> 01:27:00,640
Speaker 1: Fairly, I think one of the most. You know, I

1663
01:27:00,680 --> 01:27:02,000
Speaker 1: don't make any look, he was a he was a

1664
01:27:02,040 --> 01:27:05,080
Speaker 1: really good assistant coach at the University of Miami. You know,

1665
01:27:05,240 --> 01:27:09,840
Speaker 1: back in the day, you know, there's I will just say,

1666
01:27:09,920 --> 01:27:12,200
Speaker 1: I've got a lot of family that's big Auburn fans.

1667
01:27:12,880 --> 01:27:16,200
Speaker 1: Nobody shed a tear when that dude left. Nobody shed

1668
01:27:16,240 --> 01:27:16,720
Speaker 1: a teer when that.

1669
01:27:16,760 --> 01:27:20,680
Speaker 3: Dud There are always politicians who lean so heavy into

1670
01:27:20,760 --> 01:27:25,360
Speaker 3: their into their backstory that it I mean, it's I

1671
01:27:25,360 --> 01:27:27,840
Speaker 3: don't want to mock people, but it's it's pretty easy though.

1672
01:27:27,920 --> 01:27:30,320
Speaker 1: That's my point with him, Like he does it. Look, dude,

1673
01:27:30,360 --> 01:27:33,160
Speaker 1: you weren't that successful. You weren't the worst coach. They

1674
01:27:33,200 --> 01:27:35,600
Speaker 1: were the worst, but you weren't the best. Yeah, the

1675
01:27:36,000 --> 01:27:37,880
Speaker 1: riker to ever tell you you caught the Green River killer?

1676
01:27:37,880 --> 01:27:40,400
Speaker 1: I mean, howay, but that you know what, at least

1677
01:27:40,439 --> 01:27:43,479
Speaker 1: that has something to do with your job. Okay, at

1678
01:27:43,600 --> 01:27:46,559
Speaker 1: least that was a public service. Okay, I don't think

1679
01:27:46,560 --> 01:27:52,400
Speaker 1: football coach applies to that. And you know, look, Tennessee

1680
01:27:52,520 --> 01:27:54,880
Speaker 1: is one of the more remarkable states if I you know,

1681
01:27:55,360 --> 01:27:58,719
Speaker 1: when I was first coming up professionally in politics, Tennessee,

1682
01:27:58,880 --> 01:28:02,719
Speaker 1: North Carolina, Georgia, when you said new South, it was Virginia, Tennessee,

1683
01:28:02,760 --> 01:28:07,720
Speaker 1: North Carolina, Georgia. Well, Virginia, North Carolina, Georgia definitely sort

1684
01:28:07,760 --> 01:28:11,720
Speaker 1: of is in one direction, but Tennessee didn't go in

1685
01:28:11,800 --> 01:28:16,000
Speaker 1: that direction now, and it's you know, it's it is.

1686
01:28:16,200 --> 01:28:17,680
Speaker 1: You know, part of it was the strength of the

1687
01:28:17,760 --> 01:28:21,560
Speaker 1: Eastern Tennessee Republicans to sort of prevent too much democratic

1688
01:28:21,640 --> 01:28:26,400
Speaker 1: encroachment early on. But that's my only question. There is

1689
01:28:26,439 --> 01:28:29,080
Speaker 1: there a point where Nashville grows so much that Blackburn

1690
01:28:29,160 --> 01:28:32,479
Speaker 1: is seen is slightly too far to the right. I don't.

1691
01:28:32,560 --> 01:28:34,719
Speaker 1: I don't think so, but I'm just curious what you're seeing.

1692
01:28:35,160 --> 01:28:38,240
Speaker 2: Yeah, So, I think the difference between the first three

1693
01:28:38,280 --> 01:28:41,280
Speaker 2: states to outline there, Virginia, North Carolina and Georgia and

1694
01:28:41,600 --> 01:28:45,400
Speaker 2: Tennessee is that those first three states are becoming a

1695
01:28:45,600 --> 01:28:48,560
Speaker 2: sort of a second Silicon Valley. They're becoming homes to

1696
01:28:49,200 --> 01:28:54,160
Speaker 2: the big growing industries of today. You know, the demographics

1697
01:28:54,200 --> 01:28:57,479
Speaker 2: that that changed Virginia. Weren't the federal workers. They were

1698
01:28:57,560 --> 01:29:00,800
Speaker 2: the they were the data center workers, right, folks around

1699
01:29:00,800 --> 01:29:04,680
Speaker 2: the Richmond suburbs exactly. And I'm up in Charlottesville and

1700
01:29:05,280 --> 01:29:08,040
Speaker 2: Northern and the and the Ampton Roads, and the same

1701
01:29:08,120 --> 01:29:10,799
Speaker 2: thing is happening in you know, around the fintech sector

1702
01:29:11,080 --> 01:29:15,719
Speaker 2: in Charlotte and Raleigh, uh and the tech sectors establishing

1703
01:29:15,760 --> 01:29:16,839
Speaker 2: a base in Atlanta.

1704
01:29:17,240 --> 01:29:18,759
Speaker 3: You're not seeing the same thing in Tennessee.

1705
01:29:18,800 --> 01:29:20,599
Speaker 2: And so I think I think that sort of broader

1706
01:29:20,800 --> 01:29:25,000
Speaker 2: changing economy uh is is what's brought in the younger workers,

1707
01:29:25,080 --> 01:29:27,000
Speaker 2: and those younger workers that tend to be more liberal.

1708
01:29:27,720 --> 01:29:30,240
Speaker 2: Of course, the natural flow of this is, you know,

1709
01:29:30,320 --> 01:29:34,080
Speaker 2: this brings up what about Texas? What about Austin, San Antonio?

1710
01:29:34,479 --> 01:29:37,880
Speaker 2: You know, the fastest growing states in America, But take

1711
01:29:37,920 --> 01:29:39,960
Speaker 2: a look at the Census Bureau puts out a list

1712
01:29:40,000 --> 01:29:42,120
Speaker 2: every year of the fast growing cities in America, and

1713
01:29:42,160 --> 01:29:44,479
Speaker 2: they're all to the sun Belt sun Belt areas. You

1714
01:29:44,560 --> 01:29:47,479
Speaker 2: know that they're in Texas, They're in the Phoenix suburbs

1715
01:29:47,560 --> 01:29:49,960
Speaker 2: or something like that. And hey, look, you know Arizona

1716
01:29:50,000 --> 01:29:53,840
Speaker 2: has two Democratic senators. Now, North Carolina is always going

1717
01:29:53,920 --> 01:29:57,280
Speaker 2: to be competitive. Georgia has two Democratic senators for the moment,

1718
01:29:58,240 --> 01:30:01,439
Speaker 2: so you know, Texas, Texas should be on that list.

1719
01:30:01,520 --> 01:30:04,639
Speaker 2: But it's I feel like it's it's the Democratic version

1720
01:30:04,680 --> 01:30:07,559
Speaker 2: of Republicans New Jersey where it's always loosey in the football.

1721
01:30:07,800 --> 01:30:10,400
Speaker 1: Yeah it is, and it's and it's so and the

1722
01:30:10,880 --> 01:30:14,439
Speaker 1: and look, Republicans probably could if they spent more time

1723
01:30:14,479 --> 01:30:16,880
Speaker 1: in New Jersey, probably could keep it competitive. But it's

1724
01:30:16,920 --> 01:30:20,480
Speaker 1: such an expensive proposition. And that's what happens to Democrats

1725
01:30:20,520 --> 01:30:23,120
Speaker 1: with both Florida and Texas, Like it's a lot of

1726
01:30:23,200 --> 01:30:26,680
Speaker 1: work to keep it up right, and they just and

1727
01:30:26,800 --> 01:30:29,000
Speaker 1: of course then you throw in bad state party leadership,

1728
01:30:29,200 --> 01:30:32,360
Speaker 1: right and there's just nobody. There's nobody, there's you know,

1729
01:30:33,320 --> 01:30:36,800
Speaker 1: there is no None of these mayors in Texas and

1730
01:30:36,880 --> 01:30:42,000
Speaker 1: none of the mayors in Florida have become party leaders,

1731
01:30:42,280 --> 01:30:43,760
Speaker 1: you know what I mean. It becomes sort of that

1732
01:30:43,920 --> 01:30:47,840
Speaker 1: North Star, the way Bob Graham was able to and

1733
01:30:47,920 --> 01:30:50,519
Speaker 1: even Bill Nelson to a lesser extent, keep the state

1734
01:30:50,560 --> 01:30:54,000
Speaker 1: party competitive in a float, or the way you know, frankly,

1735
01:30:54,080 --> 01:30:56,880
Speaker 1: not since Lloyd Benson was there a Democrat that could

1736
01:30:56,960 --> 01:30:59,800
Speaker 1: be a magnet for money in the state party to

1737
01:31:00,200 --> 01:31:02,439
Speaker 1: to have the to have the resources do that. And

1738
01:31:02,520 --> 01:31:04,200
Speaker 1: that's the same problem in New Jersey, right, there was

1739
01:31:04,240 --> 01:31:07,960
Speaker 1: no one Republican to invest in to get that part

1740
01:31:07,960 --> 01:31:10,920
Speaker 1: because it was just no other officeholders that they had there.

1741
01:31:11,800 --> 01:31:14,880
Speaker 1: Interesting take on Tennessee. I also think that Memphis is

1742
01:31:15,000 --> 01:31:19,840
Speaker 1: just such a an ignored area by the state to

1743
01:31:19,960 --> 01:31:25,200
Speaker 1: try to redevelop, right And and ironically it's almost like

1744
01:31:25,920 --> 01:31:28,280
Speaker 1: there's a part of me that thinks the Republicans in

1745
01:31:28,360 --> 01:31:30,200
Speaker 1: Nashville are afraid that they don't want to create a

1746
01:31:30,240 --> 01:31:35,240
Speaker 1: second Nashville. Yeah, yeah, right, and Memphis.

1747
01:31:35,080 --> 01:31:38,080
Speaker 2: Talk about talking about preemption. By the way, Tennessee is

1748
01:31:38,479 --> 01:31:40,720
Speaker 2: working on a bill. I don't know if it's past yet,

1749
01:31:40,760 --> 01:31:45,120
Speaker 2: but it would effectively preempt Nashville from naming its own airport. Uh.

1750
01:31:45,400 --> 01:31:46,800
Speaker 3: And hey, you want to take a gas or they

1751
01:31:46,800 --> 01:31:47,960
Speaker 3: want to name the airport after.

1752
01:31:48,240 --> 01:31:52,760
Speaker 1: Well why, I mean, look, you do it after If

1753
01:31:52,800 --> 01:31:55,040
Speaker 1: it isn't Peyton Manning's airport, then I don't want to

1754
01:31:55,040 --> 01:31:55,519
Speaker 1: hear about it.

1755
01:31:56,800 --> 01:31:57,080
Speaker 3: It's not.

1756
01:31:57,720 --> 01:32:01,360
Speaker 1: Yeah, I'm shocked, really, I'm shocked. I'm sure, Well, somebody's

1757
01:32:01,400 --> 01:32:02,960
Speaker 1: going to get you know, it's going to get the

1758
01:32:02,960 --> 01:32:06,000
Speaker 1: Trump Airport. When is Obama getting an airport, right, and

1759
01:32:06,080 --> 01:32:09,160
Speaker 1: we went down that. Yeah, I mean I couldn't actually

1760
01:32:09,200 --> 01:32:12,240
Speaker 1: tell you who O'Hare was exactly at this point? Do

1761
01:32:12,320 --> 01:32:14,800
Speaker 1: you turn it all? Right? Harry Reid took over Vegas? Right,

1762
01:32:15,240 --> 01:32:18,519
Speaker 1: George Bush? I remember my cousin one time left the

1763
01:32:18,600 --> 01:32:21,760
Speaker 1: country for six months and he goes, I flew out

1764
01:32:21,800 --> 01:32:26,360
Speaker 1: of National change planes in Houston, and then I came

1765
01:32:26,439 --> 01:32:28,800
Speaker 1: back and I flew from Bush to Reagan. It was

1766
01:32:28,840 --> 01:32:32,040
Speaker 1: like both happened like within six months of each other.

1767
01:32:32,560 --> 01:32:36,960
Speaker 3: Now here's some contrivia for you. What president's name is on?

1768
01:32:37,400 --> 01:32:39,919
Speaker 2: Now let me say what airport named for a president

1769
01:32:40,120 --> 01:32:43,040
Speaker 2: is the smallest in America based on passenger traffic.

1770
01:32:43,320 --> 01:32:46,400
Speaker 1: Oh, I'm going to say Grand Rapids.

1771
01:32:46,880 --> 01:32:48,879
Speaker 3: Abraham Lincoln Airport in Springfield, Illinois.

1772
01:32:48,920 --> 01:32:51,920
Speaker 1: Oh a B Lincoln. Ab Lincoln has the naming rights. Huh.

1773
01:32:52,800 --> 01:32:55,080
Speaker 1: I'm waiting for airports to auction off their naming rights

1774
01:32:55,120 --> 01:32:57,920
Speaker 1: like football stadium right, you know you're changing played at

1775
01:32:57,920 --> 01:33:02,040
Speaker 1: Hartsfield Why Hartsfield Jackson? No, No, no, come on, Amazon, Hey,

1776
01:33:02,200 --> 01:33:04,800
Speaker 1: I'm now changing planes in the Amazon Airport. I'm not

1777
01:33:05,240 --> 01:33:09,080
Speaker 1: you think I'm kidding. I you know, at some point, right,

1778
01:33:09,360 --> 01:33:11,400
Speaker 1: you know what do you think toll roads were at

1779
01:33:11,439 --> 01:33:13,559
Speaker 1: one point? What do you think rest stops are about.

1780
01:33:13,880 --> 01:33:17,960
Speaker 1: It's about state governments getting you know, Hey, you want

1781
01:33:18,000 --> 01:33:19,880
Speaker 1: to be at our rest stop, you got to pay us.

1782
01:33:20,240 --> 01:33:20,400
Speaker 3: Right.

1783
01:33:20,640 --> 01:33:24,719
Speaker 1: I think this is coming to airports. We're probably twenty

1784
01:33:24,800 --> 01:33:26,680
Speaker 1: years away, but I bet it's coming. Well.

1785
01:33:27,000 --> 01:33:29,519
Speaker 3: UPS will take over Louisville. That's their big distribution hub.

1786
01:33:29,640 --> 01:33:32,360
Speaker 1: Right, maybe you sell the naming rights of terminals first, Right,

1787
01:33:32,439 --> 01:33:34,759
Speaker 1: you don't quite do the whole airport, but you do that, Okay,

1788
01:33:35,160 --> 01:33:38,759
Speaker 1: the Amazon terminal, the Apple terminal, the UPS terminal.

1789
01:33:39,560 --> 01:33:41,600
Speaker 2: Amazon does a ton of business at BWI. Although I

1790
01:33:41,680 --> 01:33:42,320
Speaker 2: kind of like the THIRDD.

1791
01:33:42,400 --> 01:33:43,240
Speaker 3: Marshall name, I.

1792
01:33:43,280 --> 01:33:46,200
Speaker 1: Hope I do too. I mean, I look, the reason

1793
01:33:46,280 --> 01:33:49,599
Speaker 1: I like to see stuff named after politicians is sort

1794
01:33:49,640 --> 01:33:52,559
Speaker 1: of a force history on people. Sometimes. I always say, look,

1795
01:33:52,600 --> 01:33:54,880
Speaker 1: you need to accidentally teach people about history. If they're

1796
01:33:54,920 --> 01:33:57,360
Speaker 1: not that interested in it, that's fine. Not everybody should be.

1797
01:33:57,640 --> 01:34:00,360
Speaker 1: But then if you name stuff after people that were elevant,

1798
01:34:00,880 --> 01:34:02,840
Speaker 1: you know, then it's a way to have a conversation.

1799
01:34:03,000 --> 01:34:06,400
Speaker 1: It's a way to spark a conversation. And oh why

1800
01:34:06,439 --> 01:34:08,040
Speaker 1: do they call it this? And you might go read

1801
01:34:08,080 --> 01:34:10,639
Speaker 1: a plaque and oh, you might have educated yourself by accident.

1802
01:34:10,840 --> 01:34:13,599
Speaker 1: And we can remain very, very in favor of these things.

1803
01:34:13,680 --> 01:34:15,960
Speaker 2: We can rename things that are named after terrible people

1804
01:34:16,080 --> 01:34:18,559
Speaker 2: like you know, Pat McCarran was a kind of a jerk,

1805
01:34:18,720 --> 01:34:20,960
Speaker 2: and you know, Harry Reid.

1806
01:34:21,560 --> 01:34:25,639
Speaker 1: Is now there you go, well so, but sometimes Harry

1807
01:34:25,680 --> 01:34:27,200
Speaker 1: Reid thought I was a jerk. So I don't know,

1808
01:34:27,400 --> 01:34:30,439
Speaker 1: you know, I was. I was going to say, you know,

1809
01:34:30,520 --> 01:34:33,720
Speaker 1: having worked for you, you know, all right, all right,

1810
01:34:35,040 --> 01:34:36,719
Speaker 1: are the Mariners ever going to make the playoffs?

1811
01:34:37,000 --> 01:34:37,040
Speaker 2: No?

1812
01:34:37,680 --> 01:34:40,479
Speaker 1: No, I mean, are you guys with the longest route? Right?

1813
01:34:41,040 --> 01:34:43,560
Speaker 3: Well, so we made it the other year in the

1814
01:34:43,720 --> 01:34:45,320
Speaker 3: last two years to get in.

1815
01:34:45,600 --> 01:34:49,080
Speaker 1: Okay that for that one game playoff business, whatever it was, it.

1816
01:34:49,120 --> 01:34:52,280
Speaker 2: Doesn't count for me. Now where Look, I've haken. I've

1817
01:34:52,280 --> 01:34:53,000
Speaker 2: got an eight year old.

1818
01:34:53,320 --> 01:34:54,840
Speaker 1: How do you feel about cal Raley? I mean, is

1819
01:34:54,880 --> 01:34:55,880
Speaker 1: this like the greatest thing ever?

1820
01:34:56,240 --> 01:34:56,519
Speaker 3: I love?

1821
01:34:56,880 --> 01:34:59,080
Speaker 2: He's fantastic, But I've got an eight year old. I've

1822
01:34:59,080 --> 01:35:02,080
Speaker 2: taken him to ten Seattle games and nine Mariner games.

1823
01:35:02,120 --> 01:35:05,320
Speaker 2: In a Seahawks game, they lost the first nine, They

1824
01:35:05,400 --> 01:35:07,800
Speaker 2: lost the first nine. He finally saw the Mariners beat

1825
01:35:07,800 --> 01:35:10,040
Speaker 2: the Nationals last year and I was like, look, can

1826
01:35:10,520 --> 01:35:12,920
Speaker 2: this this is teaching you to be a good loser,

1827
01:35:13,040 --> 01:35:14,479
Speaker 2: which is just as import as it is to be

1828
01:35:14,520 --> 01:35:14,920
Speaker 2: a good.

1829
01:35:14,920 --> 01:35:17,240
Speaker 1: I completely agree. I always said this. You know, you

1830
01:35:17,320 --> 01:35:19,840
Speaker 1: know people think I'm a bandwagon Packer fan. It's like, no, man,

1831
01:35:20,320 --> 01:35:22,599
Speaker 1: when I was a Packer fan, they sucked, man, we were,

1832
01:35:22,880 --> 01:35:24,760
Speaker 1: we were. In fact, there was a sports writer for

1833
01:35:24,840 --> 01:35:27,760
Speaker 1: Newsweek that used to call the annual Packers Buccaneers game

1834
01:35:27,840 --> 01:35:31,479
Speaker 1: the Bay of Pigs. It was because neither team made

1835
01:35:31,520 --> 01:35:34,160
Speaker 1: the playoffs for like ten years. It was just you know,

1836
01:35:34,600 --> 01:35:38,080
Speaker 1: below five hundred football, and you're right when you when

1837
01:35:38,160 --> 01:35:42,840
Speaker 1: you lose and then you win, it's some as it

1838
01:35:43,080 --> 01:35:49,160
Speaker 1: is you fork and and so uh it's uh. The

1839
01:35:49,240 --> 01:35:52,880
Speaker 1: Mariners are a frustrating you guys. Have I love the

1840
01:35:52,960 --> 01:35:54,960
Speaker 1: players that go in and out of that franchise and

1841
01:35:55,040 --> 01:35:58,040
Speaker 1: you're like, what, why can't it all be put together?

1842
01:35:58,439 --> 01:36:01,800
Speaker 1: Jay Rod drives me crazy. He's he's always won for four.

1843
01:36:01,880 --> 01:36:04,280
Speaker 1: I have enough fantasy team. He's always won for four.

1844
01:36:04,800 --> 01:36:07,320
Speaker 1: You has ever three for four? You know, he's not

1845
01:36:07,439 --> 01:36:10,200
Speaker 1: an over for guy. But it's like I keep waiting

1846
01:36:10,240 --> 01:36:12,160
Speaker 1: for him to be a Kuna and he's not a Kuna.

1847
01:36:12,280 --> 01:36:13,759
Speaker 1: But he's all the Kunah talent.

1848
01:36:14,120 --> 01:36:15,800
Speaker 3: Yeah you've been You've been hot on him longer than

1849
01:36:15,800 --> 01:36:16,240
Speaker 3: I have been.

1850
01:36:16,439 --> 01:36:18,640
Speaker 1: I know, have you given up on him? He's just

1851
01:36:19,080 --> 01:36:21,439
Speaker 1: he is who he is a very good player. But

1852
01:36:21,560 --> 01:36:22,280
Speaker 1: not Ken Griffy.

1853
01:36:22,600 --> 01:36:25,400
Speaker 3: Yeah yeah, oh yeah, nobody, nobody will ever be Griffy. Yeah.

1854
01:36:26,080 --> 01:36:28,840
Speaker 1: So well, the cal Raley, I mean, if we have

1855
01:36:28,920 --> 01:36:30,960
Speaker 1: a home run you know, he gets to be in

1856
01:36:30,960 --> 01:36:32,840
Speaker 1: the home run derby, that'll be exciting for your for

1857
01:36:32,960 --> 01:36:34,439
Speaker 1: your son. I mean, that'll be fun to route for

1858
01:36:34,479 --> 01:36:35,240
Speaker 1: hopefully James.

1859
01:36:35,040 --> 01:36:37,040
Speaker 3: Wood's right, Yeah, no, he would like that. That's coming

1860
01:36:37,080 --> 01:36:37,760
Speaker 3: up in a couple of weeks.

1861
01:36:37,840 --> 01:36:41,400
Speaker 1: Yeah, oh, the home run. Look, every the MLB All

1862
01:36:41,439 --> 01:36:44,240
Speaker 1: Star it's like the NBA All Start, every other every

1863
01:36:44,280 --> 01:36:48,240
Speaker 1: event is fun except the game itself, you know, right,

1864
01:36:48,479 --> 01:36:51,519
Speaker 1: everything else is awesome. The home run contest, I like that,

1865
01:36:51,600 --> 01:36:55,120
Speaker 1: even the celebrity game, right, it's kind of fun, right,

1866
01:36:55,200 --> 01:36:57,599
Speaker 1: it's interesting the player show. The game itself sucks.

1867
01:36:57,880 --> 01:36:59,080
Speaker 3: I got to go to the game.

1868
01:36:59,160 --> 01:37:00,679
Speaker 2: I got to go to the game in two thousand

1869
01:37:00,720 --> 01:37:02,040
Speaker 2: and one when it was in Seattle and cal Rip

1870
01:37:02,080 --> 01:37:05,920
Speaker 2: can hit that groove fastball's Yeah.

1871
01:37:05,880 --> 01:37:07,960
Speaker 3: That's thank you, thank you, deeo Nomo.

1872
01:37:08,320 --> 01:37:12,800
Speaker 1: Good for him? Good for him anyway, read Wilson Pluribus

1873
01:37:13,520 --> 01:37:16,599
Speaker 1: Business good I assume, right. The more action in the States,

1874
01:37:16,760 --> 01:37:17,240
Speaker 1: my gosh.

1875
01:37:17,840 --> 01:37:19,320
Speaker 3: So yeah, it's it's been great.

1876
01:37:19,320 --> 01:37:22,200
Speaker 2: We're actually now a part of the State Affairs Network,

1877
01:37:22,280 --> 01:37:24,240
Speaker 2: so you can check that out at state affairs dot com.

1878
01:37:24,360 --> 01:37:27,360
Speaker 1: People find it, yeah, yeah dot com. Sign up for

1879
01:37:27,680 --> 01:37:29,800
Speaker 1: your other socials? Are you all over the place? Where

1880
01:37:29,840 --> 01:37:31,160
Speaker 1: should people find at.

1881
01:37:31,120 --> 01:37:33,200
Speaker 2: Pluribus news everywhere you can. You can think of on

1882
01:37:33,360 --> 01:37:36,800
Speaker 2: blue Sky, on Twitter x whatever it is, Facebook, all

1883
01:37:36,840 --> 01:37:40,120
Speaker 2: that stuff. Yeah, we send out a morning newsletter that is.

1884
01:37:40,560 --> 01:37:42,599
Speaker 2: I mean, if you if you used to read the Hotline,

1885
01:37:42,600 --> 01:37:45,599
Speaker 2: you're going to see very strong notes of hotlinification in there.

1886
01:37:46,520 --> 01:37:47,400
Speaker 3: But every morning you.

1887
01:37:47,800 --> 01:37:51,759
Speaker 1: Talking like a wine guy, you'll see notes of behind

1888
01:37:51,840 --> 01:37:54,400
Speaker 1: in there, with a dab of roll call and a

1889
01:37:54,520 --> 01:37:56,120
Speaker 1: tiny splash of the hill right.

1890
01:37:56,280 --> 01:38:01,679
Speaker 2: Well, and look our I would credit a good friend

1891
01:38:01,720 --> 01:38:05,200
Speaker 2: of both yours and mine, Danielle Jones, with infusing a

1892
01:38:05,240 --> 01:38:07,519
Speaker 2: lot of the flavor of RBUS news. I try to

1893
01:38:07,560 --> 01:38:09,880
Speaker 2: I try to emulate sort of her amazing sense of

1894
01:38:09,920 --> 01:38:11,640
Speaker 2: humor and all that in our daily news.

1895
01:38:11,720 --> 01:38:13,720
Speaker 1: Let you do you know, it's funny. I could tell

1896
01:38:13,800 --> 01:38:16,640
Speaker 1: your try your You're like, I have a feeling your

1897
01:38:16,680 --> 01:38:18,840
Speaker 1: audience doesn't have a sense of humor yet. So you're

1898
01:38:19,200 --> 01:38:23,439
Speaker 1: just you're it's baby steps. Your quotes are great, You're

1899
01:38:23,640 --> 01:38:25,599
Speaker 1: you're trying to get them there. You're like, come on, guys,

1900
01:38:25,920 --> 01:38:28,320
Speaker 1: have a laugh, and hey we.

1901
01:38:28,400 --> 01:38:30,479
Speaker 2: Get we get great feedback to the state legislators who

1902
01:38:30,520 --> 01:38:32,679
Speaker 2: read us. We'll tell me, you know, keep that funny

1903
01:38:32,720 --> 01:38:34,479
Speaker 2: news in there, keep the funny quotes things like that.

1904
01:38:34,760 --> 01:38:35,559
Speaker 3: People love that stuff.

1905
01:38:35,600 --> 01:38:35,680
Speaker 2: Now.

1906
01:38:35,800 --> 01:38:39,000
Speaker 1: I love the quirky stuff. Man, it's you know, I

1907
01:38:39,120 --> 01:38:42,439
Speaker 1: borrow it all the time. There's about seven thousand other

1908
01:38:42,520 --> 01:38:45,840
Speaker 1: issues we didn't even talk about. Abortion. Is abortion even

1909
01:38:45,920 --> 01:38:47,840
Speaker 1: on the radar this legislative season.

1910
01:38:48,560 --> 01:38:51,799
Speaker 2: It is? It is, but it's it's largely Blue states

1911
01:38:52,040 --> 01:38:55,040
Speaker 2: passing protection lections from providers.

1912
01:38:56,080 --> 01:38:57,679
Speaker 1: May not see anything in red states.

1913
01:38:58,680 --> 01:39:01,479
Speaker 2: You are, those red states have done as much as

1914
01:39:01,479 --> 01:39:03,080
Speaker 2: they can. There are some red states.

1915
01:39:03,160 --> 01:39:06,400
Speaker 1: Missouri is trying to undo the voter ballot voter reference

1916
01:39:07,600 --> 01:39:09,759
Speaker 1: some other Well that's the other trend that I've noticed

1917
01:39:09,840 --> 01:39:12,400
Speaker 1: is that red states are trying to have referendum, are

1918
01:39:12,439 --> 01:39:16,120
Speaker 1: trying to everybody either either you do what Florida did

1919
01:39:16,160 --> 01:39:19,480
Speaker 1: and try to raise the threshold beyond you know, viability,

1920
01:39:19,960 --> 01:39:23,919
Speaker 1: or they're trying to make it hard. This petition signature

1921
01:39:24,000 --> 01:39:27,000
Speaker 1: crap in Oklahoma, where you know, we're not going to

1922
01:39:27,040 --> 01:39:28,880
Speaker 1: base it on population, We're going to base it on

1923
01:39:29,000 --> 01:39:32,559
Speaker 1: something else. I mean, the fact that Tulsa or Oklahoma

1924
01:39:32,600 --> 01:39:36,920
Speaker 1: City will get punished. I mean, to me, those laws

1925
01:39:36,960 --> 01:39:40,400
Speaker 1: are unconstitutional because there's any I think it violates equal protection.

1926
01:39:40,560 --> 01:39:45,200
Speaker 1: But it is interesting how fearful these red states are

1927
01:39:45,240 --> 01:39:48,720
Speaker 1: of their urban centers creating referendum that they don't like.

1928
01:39:49,120 --> 01:39:52,360
Speaker 3: And that's a longer trend than just recently.

1929
01:39:52,439 --> 01:39:55,679
Speaker 2: I mean, the progressive era was marked by ballot measures

1930
01:39:55,720 --> 01:39:57,400
Speaker 2: in the West that you know, took power away from

1931
01:39:57,520 --> 01:39:59,640
Speaker 2: corrupt legislatures that were owned by the timber barons and

1932
01:39:59,680 --> 01:40:01,760
Speaker 2: the robber barons and gave power to the people. And

1933
01:40:01,840 --> 01:40:04,559
Speaker 2: of course those legislatures tried to undo everything. I feel

1934
01:40:04,680 --> 01:40:07,880
Speaker 2: extremely strongly about ballot measures the first political campaign.

1935
01:40:07,920 --> 01:40:10,040
Speaker 1: Oh you're a West guy, Look I have my own.

1936
01:40:10,479 --> 01:40:13,880
Speaker 1: I think they're all unconstitutional. We're republic, we're not a

1937
01:40:13,920 --> 01:40:17,040
Speaker 1: direct we're not a direct democracy. So and I get

1938
01:40:17,080 --> 01:40:21,479
Speaker 1: the tenth Amendment, but I think, but that said, if

1939
01:40:21,520 --> 01:40:24,040
Speaker 1: it's the law, then it should be you know, hey,

1940
01:40:24,880 --> 01:40:27,840
Speaker 1: you know that's the consequence in your state constitution.

1941
01:40:28,240 --> 01:40:31,479
Speaker 2: I'm a big fan of ballot measures, and someday I'll

1942
01:40:31,479 --> 01:40:33,840
Speaker 2: write a history of ballot measures that fifteen people will read.

1943
01:40:35,160 --> 01:40:37,160
Speaker 1: Well, you know, maybe you can create a TikTok that

1944
01:40:37,280 --> 01:40:37,759
Speaker 1: goes viral.

1945
01:40:37,840 --> 01:40:38,000
Speaker 3: Good.

1946
01:40:38,080 --> 01:40:41,640
Speaker 1: Oh yeah, that'll that'll definitely help it, you know, so

1947
01:40:41,840 --> 01:40:43,080
Speaker 1: you'll get more than fifteen people.

1948
01:40:43,760 --> 01:40:44,800
Speaker 3: That's true, that's true.

1949
01:40:45,479 --> 01:40:47,240
Speaker 1: Read Wilson. Always a pleasure, my friend.

1950
01:40:47,439 --> 01:40:48,439
Speaker 3: Thanks seat, good to see man.

1951
01:40:56,479 --> 01:40:58,559
Speaker 1: All right, I hope you enjoyed that conversation with read

1952
01:40:58,680 --> 01:41:01,880
Speaker 1: check out pluribus. I mean, you know, I just think

1953
01:41:01,960 --> 01:41:05,599
Speaker 1: if you want to truly understand how your life's being impacted,

1954
01:41:05,600 --> 01:41:07,280
Speaker 1: you got to pay more attention what's happening in the

1955
01:41:07,360 --> 01:41:10,559
Speaker 1: States because Congress is dropping the ball left and right.

1956
01:41:11,479 --> 01:41:14,400
Speaker 1: All right, let's do a little ass Chuck, ask Chuck.

1957
01:41:16,800 --> 01:41:21,200
Speaker 1: First question Josh from Baton rugelel go tagas. I love that.

1958
01:41:21,720 --> 01:41:25,320
Speaker 1: Give me a little go tigers with the eaux. Is

1959
01:41:25,400 --> 01:41:26,840
Speaker 1: there a real path for a Democrat to win the

1960
01:41:26,960 --> 01:41:29,160
Speaker 1: US Senate seed in Louisiana in twenty twenty six with

1961
01:41:29,280 --> 01:41:31,920
Speaker 1: multiple Republicans lining up to primary Bill Cassidy, who's still

1962
01:41:31,960 --> 01:41:34,439
Speaker 1: unpopular with many in the GOP for voting to impeach Trump.

1963
01:41:34,760 --> 01:41:37,000
Speaker 1: Could a bruising primary create an opening if John Bell

1964
01:41:37,120 --> 01:41:39,960
Speaker 1: Edwards runs and goes unchallenged in the Democratic primary, could

1965
01:41:40,080 --> 01:41:43,320
Speaker 1: enough Trump voter sit out or even back edwards tipping

1966
01:41:43,479 --> 01:41:46,840
Speaker 1: the race? Should Republicans be nervous? Thank you? So? In

1967
01:41:46,960 --> 01:41:50,280
Speaker 1: the old rules of how the elections worked in Louisiana,

1968
01:41:50,320 --> 01:41:54,000
Speaker 1: which wasn't that long ago, right, you know where there

1969
01:41:54,000 --> 01:41:56,880
Speaker 1: would be a runoff if no candidate got fifty regardless

1970
01:41:56,920 --> 01:41:58,960
Speaker 1: of party, in the top two would meet in a

1971
01:41:59,080 --> 01:42:03,559
Speaker 1: December runoff. One of the first I remember the first

1972
01:42:04,479 --> 01:42:07,400
Speaker 1: in twenty oh two mary Landrew ended up in a

1973
01:42:07,479 --> 01:42:11,040
Speaker 1: runoff and pulled out the runoff sort of. It was

1974
01:42:11,080 --> 01:42:12,880
Speaker 1: a surprise in twenty oh two, and it was a

1975
01:42:12,960 --> 01:42:18,000
Speaker 1: December race down there. It happened again. I believe in God.

1976
01:42:18,040 --> 01:42:21,040
Speaker 1: I want to say, you know, a they since you

1977
01:42:21,120 --> 01:42:22,880
Speaker 1: know part of the change in how they do they

1978
01:42:23,120 --> 01:42:25,160
Speaker 1: everybody used to be on the same ballot, even for

1979
01:42:25,240 --> 01:42:28,960
Speaker 1: federal elections. They I guess separated out federal elections. John

1980
01:42:29,000 --> 01:42:31,280
Speaker 1: Bell Edwards became governor because of the ability of having

1981
01:42:31,320 --> 01:42:33,600
Speaker 1: all those Republicans on the ballot. Then he finished in

1982
01:42:33,640 --> 01:42:36,320
Speaker 1: the top two, and it was somebody who was too

1983
01:42:36,400 --> 01:42:38,479
Speaker 1: far out of the mainstream on the right, and John

1984
01:42:38,520 --> 01:42:41,519
Speaker 1: Bell Edwards was able to win not one but two

1985
01:42:41,640 --> 01:42:46,200
Speaker 1: terms that way. Look, if a Democrat is going to

1986
01:42:46,240 --> 01:42:48,840
Speaker 1: win in Louisiana again, it's going to be John Bell Edwards.

1987
01:42:49,840 --> 01:42:52,200
Speaker 1: He'd probably be the only one. I would I would

1988
01:42:52,280 --> 01:42:54,680
Speaker 1: think it would have a chance, and it would have

1989
01:42:54,760 --> 01:42:58,080
Speaker 1: to be under a circumstance where it was somebody that

1990
01:42:58,280 --> 01:43:02,040
Speaker 1: was closer to that was probably further to the right

1991
01:43:02,320 --> 01:43:05,920
Speaker 1: than even the governor is further to the right than Scalise.

1992
01:43:07,520 --> 01:43:09,240
Speaker 1: I think you'd have to have a sort of a

1993
01:43:09,520 --> 01:43:14,040
Speaker 1: very sort of what I'd call it an undisciplined maga

1994
01:43:14,240 --> 01:43:20,320
Speaker 1: Republican because one of the things in Senate races, you know,

1995
01:43:20,920 --> 01:43:24,519
Speaker 1: is people really do vote their jersey color. That the

1996
01:43:25,320 --> 01:43:28,719
Speaker 1: more voters know now that these these are proxy votes

1997
01:43:28,760 --> 01:43:31,920
Speaker 1: for the Supreme Court, right, that who you support here,

1998
01:43:31,960 --> 01:43:33,639
Speaker 1: that you know what their vote for a Supreme Court

1999
01:43:33,800 --> 01:43:36,880
Speaker 1: justice is going to be, and you're just starting to

2000
01:43:36,920 --> 01:43:39,560
Speaker 1: see it, right, Larry Hogan couldn't win it. He was

2001
01:43:39,680 --> 01:43:42,880
Speaker 1: very popular in Maryland, a popular governor as a Republican,

2002
01:43:42,920 --> 01:43:44,400
Speaker 1: but he wasn't going to win a Senate seat, and

2003
01:43:44,680 --> 01:43:48,400
Speaker 1: it wasn't even that close. It was competitive ISHU for

2004
01:43:48,960 --> 01:43:54,639
Speaker 1: because he was a respected office a former office holder,

2005
01:43:54,960 --> 01:43:57,519
Speaker 1: but he wasn't going to win. And I kind of

2006
01:43:57,600 --> 01:43:59,880
Speaker 1: feel the same way about John Bell Edwards. In fact,

2007
01:43:59,920 --> 01:44:02,160
Speaker 1: I you know, I actually think he'd have an even

2008
01:44:02,200 --> 01:44:05,479
Speaker 1: money odds if he ran for governor. Again, I still

2009
01:44:05,520 --> 01:44:07,880
Speaker 1: think it's an uphill battle, not out of the question,

2010
01:44:08,760 --> 01:44:11,360
Speaker 1: and certainly I think Chuck Schumer and some other Democrats

2011
01:44:11,400 --> 01:44:13,840
Speaker 1: are trying to see if they can convince John Bell

2012
01:44:13,960 --> 01:44:17,840
Speaker 1: Edwards to go on the ballot. I know what I

2013
01:44:17,880 --> 01:44:19,320
Speaker 1: would do if I were him, if I really wanted

2014
01:44:19,360 --> 01:44:21,719
Speaker 1: to be a Senator, I wouldn't run as a Democrat.

2015
01:44:21,760 --> 01:44:25,400
Speaker 1: I'd run as an independent. And I just sort of say, look,

2016
01:44:25,439 --> 01:44:28,080
Speaker 1: I'm I probably you know type of thing. I probably

2017
01:44:28,120 --> 01:44:29,920
Speaker 1: will caucus with them, but I you know, I don't

2018
01:44:29,920 --> 01:44:32,160
Speaker 1: know if I'm you know, I'm going to be more

2019
01:44:32,200 --> 01:44:34,920
Speaker 1: independent on a lot of these issues. You know, Look,

2020
01:44:35,120 --> 01:44:37,000
Speaker 1: he couldn't get elected if he wasn't going to be

2021
01:44:37,080 --> 01:44:39,759
Speaker 1: in favor of the oil and gas industry. Right, Probably

2022
01:44:39,880 --> 01:44:42,640
Speaker 1: hard to be a member of the Democratic Caucus if

2023
01:44:42,640 --> 01:44:44,719
Speaker 1: you're going to do that. Look, how uncomfortable Joe Manchin

2024
01:44:44,880 --> 01:44:47,560
Speaker 1: was being somebody that was arguing four cole in a

2025
01:44:47,600 --> 01:44:51,160
Speaker 1: Democratic party that was shifting away on that issue in particular.

2026
01:44:51,280 --> 01:44:55,840
Speaker 1: So I'm more skeptical about a Democrat being able to

2027
01:44:55,880 --> 01:45:01,920
Speaker 1: win in a deep red state like that. I mean,

2028
01:45:02,120 --> 01:45:03,080
Speaker 1: look at Alabama.

2029
01:45:03,240 --> 01:45:03,800
Speaker 2: It it.

2030
01:45:05,640 --> 01:45:08,519
Speaker 1: Was a close race when Doug Jones won, and he

2031
01:45:08,600 --> 01:45:12,280
Speaker 1: was running against somebody who was an accused pedophile. Convicted,

2032
01:45:12,320 --> 01:45:16,200
Speaker 1: but he was accused, so and it was still quite close.

2033
01:45:16,280 --> 01:45:19,200
Speaker 1: So I think Jersey color is such a powerful force,

2034
01:45:19,520 --> 01:45:22,800
Speaker 1: such a powerful force in voting in senate races, not

2035
01:45:23,040 --> 01:45:26,120
Speaker 1: so much in governor's races. All right, next question, it

2036
01:45:26,240 --> 01:45:29,280
Speaker 1: comes from Alex Reck with two k's. I checked. Your

2037
01:45:29,320 --> 01:45:32,080
Speaker 1: conversation with Jose Antonio Vargus got me thinking again about

2038
01:45:32,120 --> 01:45:35,200
Speaker 1: media literacy. Most people don't really understand what journalism is,

2039
01:45:35,320 --> 01:45:37,479
Speaker 1: how sourcing works, what off the record means, or the

2040
01:45:37,520 --> 01:45:39,920
Speaker 1: ethics behind reporting, and that makes it easy for them

2041
01:45:39,960 --> 01:45:42,719
Speaker 1: to dismiss things as quote fake news. You said, journalists

2042
01:45:42,720 --> 01:45:44,920
Speaker 1: are also educators, so why don't more of them explain

2043
01:45:45,000 --> 01:45:47,479
Speaker 1: how how their work actually gets done. If trusted media

2044
01:45:47,520 --> 01:45:49,760
Speaker 1: needs to be rebuilt, shouldn't part of the back pulling

2045
01:45:49,840 --> 01:45:52,679
Speaker 1: back the curtain. Yes, I think. I hope you've noticed

2046
01:45:52,760 --> 01:45:55,320
Speaker 1: quite a few people on substack do this. In fact,

2047
01:45:55,439 --> 01:45:58,000
Speaker 1: even I've noticed the Washington Post does a better job

2048
01:45:58,080 --> 01:46:01,439
Speaker 1: than most news organizations explaining I a source decided to

2049
01:46:01,479 --> 01:46:03,920
Speaker 1: be anonymous. The Wall Street Journal is starting to do that,

2050
01:46:05,240 --> 01:46:08,679
Speaker 1: you know, explaining why they allowed anonymity with that source

2051
01:46:10,000 --> 01:46:12,840
Speaker 1: in order to speak freely or fear of retribution. I

2052
01:46:12,920 --> 01:46:15,960
Speaker 1: think that that's important, right if you see somebody decided

2053
01:46:15,960 --> 01:46:19,120
Speaker 1: to be anonymous due to fear of retribution. There's an

2054
01:46:19,160 --> 01:46:22,200
Speaker 1: interesting idea that the Washington Post announced today that they're

2055
01:46:22,240 --> 01:46:26,519
Speaker 1: going to let if on the record sources quotes. You know,

2056
01:46:26,560 --> 01:46:29,280
Speaker 1: if you've been quoted in a story and you think

2057
01:46:29,400 --> 01:46:30,960
Speaker 1: I think if you you know, if you don't think

2058
01:46:31,120 --> 01:46:34,040
Speaker 1: it was in context, they're giving you an opportunity to

2059
01:46:34,600 --> 01:46:36,560
Speaker 1: issue a correction it appears, or some form of that.

2060
01:46:36,840 --> 01:46:38,960
Speaker 1: I just think it's a you know, anything you can

2061
01:46:39,040 --> 01:46:43,000
Speaker 1: do to you know. Look, I always thought it was

2062
01:46:43,080 --> 01:46:48,720
Speaker 1: important to always correct a mistake because I think you

2063
01:46:48,880 --> 01:46:51,640
Speaker 1: gain more credibility if people know. Hey, when you make

2064
01:46:51,680 --> 01:46:53,519
Speaker 1: a mistake, you let people know you've made a mistake.

2065
01:46:54,880 --> 01:46:58,680
Speaker 1: On that front versus trying to minimize. I mean, I

2066
01:46:58,800 --> 01:46:59,840
Speaker 1: used to get into real fight.

2067
01:47:00,360 --> 01:47:00,479
Speaker 3: You know.

2068
01:47:00,640 --> 01:47:03,200
Speaker 1: No, let's just call it a correction. No, it's a clarification,

2069
01:47:03,720 --> 01:47:05,920
Speaker 1: or somebody said, don't admit it was a mistake, and

2070
01:47:06,000 --> 01:47:08,400
Speaker 1: it would be lawyers would try to get involved. It's

2071
01:47:08,400 --> 01:47:09,720
Speaker 1: like they were afraid of and it would be to

2072
01:47:09,920 --> 01:47:14,720
Speaker 1: come on, let's just speak English. It's okay, you know.

2073
01:47:15,479 --> 01:47:18,840
Speaker 1: But I understood the concern because you do have Donald

2074
01:47:18,880 --> 01:47:22,919
Speaker 1: Trump is just filing, you know, absurd lawsuits, and copycat

2075
01:47:22,960 --> 01:47:26,800
Speaker 1: people file these absurd lawsuits. So you don't want to,

2076
01:47:26,920 --> 01:47:29,320
Speaker 1: you know, there's this feeling of don't give them anything,

2077
01:47:29,479 --> 01:47:31,360
Speaker 1: type of don't give him. You know, if you admit

2078
01:47:31,560 --> 01:47:34,320
Speaker 1: you made a mistake, my god, We're all human beings.

2079
01:47:34,600 --> 01:47:37,880
Speaker 1: You're gonna make mistakes, you know.

2080
01:47:38,160 --> 01:47:38,320
Speaker 3: Now.

2081
01:47:38,439 --> 01:47:41,640
Speaker 1: I've always been a believer that, you know. I was

2082
01:47:41,720 --> 01:47:43,760
Speaker 1: never a fan where newspapers used to put all their

2083
01:47:44,000 --> 01:47:47,280
Speaker 1: corrections on like the page A two. And if you

2084
01:47:47,360 --> 01:47:50,080
Speaker 1: remember in the old days of a newspaper, literally you'd

2085
01:47:50,120 --> 01:47:52,320
Speaker 1: go from there to the Nobody ever read A two

2086
01:47:52,360 --> 01:47:54,960
Speaker 1: because it was mostly the contents page. What else was

2087
01:47:55,000 --> 01:47:56,720
Speaker 1: going on? Maybe there would be a weather map and

2088
01:47:56,840 --> 01:47:59,519
Speaker 1: some newspapers there and like the corrections, we'd be down

2089
01:47:59,520 --> 01:48:02,080
Speaker 1: on the right hand corner. I am somebody who believes

2090
01:48:02,160 --> 01:48:07,240
Speaker 1: if you should correct them, correct the era error sort

2091
01:48:07,280 --> 01:48:13,400
Speaker 1: of with the same general audience size that saw the error. Right, So,

2092
01:48:13,479 --> 01:48:15,200
Speaker 1: if you make the mistake in your lead story on

2093
01:48:15,240 --> 01:48:19,360
Speaker 1: the NBA on a broadcast, make the correction on the

2094
01:48:19,479 --> 01:48:21,920
Speaker 1: lead story of the broadcast, maybe it's the next day

2095
01:48:22,000 --> 01:48:24,840
Speaker 1: or whatever it is, don't bury it at the end

2096
01:48:25,520 --> 01:48:30,160
Speaker 1: of that. So, look, I totally agree with the premise.

2097
01:48:30,439 --> 01:48:32,200
Speaker 1: I actually think a lot of journalists are trying to

2098
01:48:32,240 --> 01:48:36,040
Speaker 1: find more ways to be explanatory in how they do

2099
01:48:36,160 --> 01:48:38,120
Speaker 1: their reporting, and I think the more we do that,

2100
01:48:38,200 --> 01:48:41,280
Speaker 1: the better. Last question before I let you go, I

2101
01:48:41,360 --> 01:48:43,720
Speaker 1: know you know, I don't want to simmons it. I

2102
01:48:43,760 --> 01:48:45,120
Speaker 1: don't want to do a Bill Simmons and give you

2103
01:48:45,120 --> 01:48:47,280
Speaker 1: a two hour plus podcast. But if you want to

2104
01:48:47,360 --> 01:48:51,599
Speaker 1: our podcast, let me know after mom, Donnie was when

2105
01:48:51,760 --> 01:48:54,080
Speaker 1: in New York City could an outsider like Governor Andy Basheer,

2106
01:48:54,120 --> 01:48:56,840
Speaker 1: with his relentless focus on economic populism, be a model

2107
01:48:56,840 --> 01:48:59,640
Speaker 1: for candidates to bridge the divide between the establishment and progressives.

2108
01:48:59,720 --> 01:49:03,479
Speaker 1: Thanks Josh B. Well, look, I am very right now.

2109
01:49:03,520 --> 01:49:06,599
Speaker 1: If I were to buy stock in any potential twenty

2110
01:49:06,640 --> 01:49:10,160
Speaker 1: twenty eight er. He's somebody stock i'd be buying right now.

2111
01:49:10,280 --> 01:49:17,240
Speaker 1: In Basher, You're I'm going. I have now spoken recently

2112
01:49:17,360 --> 01:49:20,599
Speaker 1: with two people running for governor in swing states. One

2113
01:49:20,800 --> 01:49:23,720
Speaker 1: was Michigan, the other was Florida. These are Democrats, and

2114
01:49:23,760 --> 01:49:25,960
Speaker 1: I asked them, you know who's a governor you want

2115
01:49:26,040 --> 01:49:28,400
Speaker 1: to you know you're going to lean on for advice.

2116
01:49:29,240 --> 01:49:31,960
Speaker 1: The first name both of them, now remember where they're running.

2117
01:49:31,960 --> 01:49:34,200
Speaker 1: One out of Florida, one out of Michigan. First name

2118
01:49:34,240 --> 01:49:38,719
Speaker 1: out of their mouth, Andy Basheer. I think many, many

2119
01:49:38,880 --> 01:49:42,040
Speaker 1: of these sort of presidential hopefuls, you know, these governor

2120
01:49:42,120 --> 01:49:43,840
Speaker 1: candis who are trying to win in swing states or

2121
01:49:43,880 --> 01:49:46,439
Speaker 1: even in red leaning states or reddish states like Florida,

2122
01:49:47,280 --> 01:49:50,719
Speaker 1: look at and want to associate themselves more with Andy Basheer.

2123
01:49:51,600 --> 01:49:53,519
Speaker 1: The other governor you hear mentioned a lot would be

2124
01:49:53,560 --> 01:49:57,040
Speaker 1: a Joshapiro. What you're not hearing is Gavin Newsom. What

2125
01:49:57,120 --> 01:50:00,439
Speaker 1: you're not hearing is JB. Pritzker. You're not hearing you

2126
01:50:00,520 --> 01:50:03,360
Speaker 1: know that occasionally you'll hear a Wes Moore every now

2127
01:50:03,400 --> 01:50:07,479
Speaker 1: and then. But the red state governor that may run

2128
01:50:07,560 --> 01:50:12,519
Speaker 1: for president Bashir has a lot of early buzz from

2129
01:50:12,560 --> 01:50:15,519
Speaker 1: some of these, particularly from candidates who are trying to

2130
01:50:15,640 --> 01:50:18,720
Speaker 1: send the message to independent voters that they're not a

2131
01:50:18,880 --> 01:50:24,840
Speaker 1: base Democrat. So, but you're right, he is an economic populist, right,

2132
01:50:25,280 --> 01:50:29,400
Speaker 1: can he somehow be the the sort of a neutralized

2133
01:50:29,439 --> 01:50:32,320
Speaker 1: cultural issues right, Perhaps it's on guns, and you know,

2134
01:50:32,640 --> 01:50:35,400
Speaker 1: before when Roe v. Wade was Law of the land,

2135
01:50:35,720 --> 01:50:37,760
Speaker 1: any butser never could have gotten elected president because he

2136
01:50:37,840 --> 01:50:41,479
Speaker 1: was a self described pro life Democrat. Now when the

2137
01:50:42,760 --> 01:50:45,479
Speaker 1: story is not about whether abortion is legal, it's about

2138
01:50:45,520 --> 01:50:48,160
Speaker 1: simply getting access. Well, he's on the pro access side,

2139
01:50:48,200 --> 01:50:49,840
Speaker 1: and as long as you're on the pro access side,

2140
01:50:50,400 --> 01:50:52,320
Speaker 1: you're going to be considered a Democrat in good standing.

2141
01:50:52,400 --> 01:50:55,160
Speaker 1: So I think he's I think he's got a unique

2142
01:50:55,160 --> 01:50:58,880
Speaker 1: way to potentially diffuse some cultural issues, very similar to

2143
01:50:59,800 --> 01:51:03,759
Speaker 1: a governor from a state that's quite close to Kentucky.

2144
01:51:04,200 --> 01:51:06,280
Speaker 1: And in fact, the last time a Democrat carried the

2145
01:51:06,360 --> 01:51:10,160
Speaker 1: state of Kentucky there was a it was a gentleman

2146
01:51:10,280 --> 01:51:12,280
Speaker 1: named Bill Clinton was at the top of the ticket,

2147
01:51:12,360 --> 01:51:14,120
Speaker 1: and he, of course was at the time the sitting

2148
01:51:14,200 --> 01:51:20,479
Speaker 1: governor of Arkansas. So I'm you know, I think Bash's

2149
01:51:20,520 --> 01:51:22,840
Speaker 1: somebody out of buy stocking. I'd also buy stock in

2150
01:51:22,880 --> 01:51:27,160
Speaker 1: Wes Moore right now, I'd also buy stock in Alexandria

2151
01:51:27,200 --> 01:51:30,439
Speaker 1: Cossio Cortez. So I'm not sitting here saying which wing

2152
01:51:30,640 --> 01:51:33,240
Speaker 1: or which part of the party will end up ascendant,

2153
01:51:33,280 --> 01:51:35,759
Speaker 1: but I think all three of them right now feel

2154
01:51:35,840 --> 01:51:40,639
Speaker 1: like safer plays of people that put it this way,

2155
01:51:41,960 --> 01:51:44,760
Speaker 1: you know, I definitely think there'll be top three type

2156
01:51:44,800 --> 01:51:49,880
Speaker 1: of candidates going forward. All Right, I'm gonna I'm gonna

2157
01:51:49,880 --> 01:51:55,439
Speaker 1: pause the conversation there. I will got a couple of

2158
01:51:55,520 --> 01:51:57,720
Speaker 1: great episodes coming for you. I think I previewed one

2159
01:51:58,600 --> 01:52:00,040
Speaker 1: coming up in the state of Florida. I think you

2160
01:52:00,120 --> 01:52:04,440
Speaker 1: will enjoy that conversation. But with that, appreciate it, like subscribe,

2161
01:52:04,600 --> 01:52:07,360
Speaker 1: give me some good comments, leave some any questions you have,

2162
01:52:07,560 --> 01:52:11,800
Speaker 1: ask Chuck at dchucktodcast dot com, and until we upload again,