1
00:00:00,040 --> 00:00:02,840
Speaker 1: It's sponsorship time. But you know what, it's really great

2
00:00:02,880 --> 00:00:06,040
Speaker 1: when you get a sponsor that you already use. And

3
00:00:06,120 --> 00:00:09,119
Speaker 1: guess what. Quint's is something that in the Todd household

4
00:00:09,200 --> 00:00:10,920
Speaker 1: we already go to. Why do we go to Quint's

5
00:00:10,920 --> 00:00:13,160
Speaker 1: Because it's a place you go where you can get

6
00:00:13,200 --> 00:00:16,680
Speaker 1: some really nice clothes without the really expensive prices. And

7
00:00:17,040 --> 00:00:18,840
Speaker 1: one of the things I've been going through is I've

8
00:00:18,880 --> 00:00:22,120
Speaker 1: transitioned from being mister cot and ty guy to wanting

9
00:00:22,400 --> 00:00:25,360
Speaker 1: a little more casual but to look nice doing it.

10
00:00:25,400 --> 00:00:28,240
Speaker 1: Is I've become mister quarterzip guy. Well guess what. Guess

11
00:00:28,240 --> 00:00:31,920
Speaker 1: who's got amazing amounts of quarter zips? It is Quints.

12
00:00:32,479 --> 00:00:36,000
Speaker 1: I have gotten quite a few already from there. The

13
00:00:36,040 --> 00:00:40,720
Speaker 1: stuff's really nice. They have Mongolian cashmere sweaters for fifty dollars.

14
00:00:40,840 --> 00:00:43,320
Speaker 1: I just know, hey, cashmere, that's pretty good. You don't

15
00:00:43,320 --> 00:00:46,400
Speaker 1: normally get that for fifty bucks or less. Italian wool

16
00:00:46,440 --> 00:00:49,279
Speaker 1: coats that look and feel like designer the stuff. I'll

17
00:00:49,280 --> 00:00:51,160
Speaker 1: be honest, right, you look at it online, you think, okay,

18
00:00:51,200 --> 00:00:52,680
Speaker 1: is this really as nice as it looks? Well, when

19
00:00:52,680 --> 00:00:54,600
Speaker 1: I got it, I was like, oh, this is real quality.

20
00:00:54,680 --> 00:00:57,080
Speaker 1: So yeah, I'm going to end up making sure I

21
00:00:57,120 --> 00:00:59,080
Speaker 1: take it to my dry cleaner so I don't screw

22
00:00:59,080 --> 00:01:02,160
Speaker 1: it up when I clean it. But I've been quite impressed.

23
00:01:02,160 --> 00:01:05,560
Speaker 1: In Hey, it's holiday season. It is impossible to shop

24
00:01:06,000 --> 00:01:08,760
Speaker 1: for us middle aged men. I know this well. Tell

25
00:01:08,800 --> 00:01:12,480
Speaker 1: your kids, tell your spouses, tell your partners. Try Quints.

26
00:01:12,720 --> 00:01:14,760
Speaker 1: Or if you're trying to figure out what to get

27
00:01:14,800 --> 00:01:17,839
Speaker 1: your adult child, what to get your mom or dad,

28
00:01:18,000 --> 00:01:20,240
Speaker 1: I'm telling you you're gonna find something that is going

29
00:01:20,319 --> 00:01:23,039
Speaker 1: to be comfortable for them on Quints. So get your

30
00:01:23,080 --> 00:01:27,160
Speaker 1: wardrobe sorted and your gift list handled with Quints. Don't wait.

31
00:01:27,240 --> 00:01:30,440
Speaker 1: Go to quints dot com slash chuck for free shipping

32
00:01:30,480 --> 00:01:32,759
Speaker 1: on your order and three hundred and sixty five day

33
00:01:32,800 --> 00:01:36,800
Speaker 1: returns now available in Canada as well. That's qui nce

34
00:01:37,319 --> 00:01:41,320
Speaker 1: dot com, slash chuck, free shipping and three hundred and

35
00:01:41,400 --> 00:01:46,440
Speaker 1: sixty five day returns quints dot com slash chuck. Use

36
00:01:46,520 --> 00:01:53,520
Speaker 1: that code. Hello there, Welcome to a special edition of

37
00:01:53,600 --> 00:01:55,680
Speaker 1: the Chuck Podcast. Why do I call it a special edition.

38
00:01:55,720 --> 00:01:58,240
Speaker 1: I'm gonna do what Saturday Night Live used to do

39
00:01:58,280 --> 00:02:01,360
Speaker 1: when I was a kid, and you get the just

40
00:02:01,440 --> 00:02:05,840
Speaker 1: before you got the cold open, they put up on screen.

41
00:02:05,920 --> 00:02:09,600
Speaker 1: The following is an encore presentation of Saturday Night Live,

42
00:02:09,919 --> 00:02:14,000
Speaker 1: and I always loved the use of the words OnCore presentation.

43
00:02:14,840 --> 00:02:19,799
Speaker 1: So yes, this is an OnCore presentation of the Check podcast.

44
00:02:19,960 --> 00:02:22,640
Speaker 1: What it is is, it's my interview with Jasmine Crockett.

45
00:02:22,639 --> 00:02:25,320
Speaker 1: It took place a few a few months ago. It's

46
00:02:25,360 --> 00:02:28,959
Speaker 1: in the summer, and it was when she was first

47
00:02:29,000 --> 00:02:34,520
Speaker 1: starting to become well known outside of sort of Texas circles.

48
00:02:35,000 --> 00:02:39,560
Speaker 1: She was becoming, uh, she was certainly making a lot

49
00:02:39,600 --> 00:02:45,480
Speaker 1: of making herself well known, whether on the in committee hearings,

50
00:02:45,600 --> 00:02:52,000
Speaker 1: on Capitol Hill or on podcasts. And I I'd like

51
00:02:52,040 --> 00:02:54,160
Speaker 1: to think we use I use my time with her

52
00:02:54,280 --> 00:02:57,120
Speaker 1: to try to get you to understand who she is,

53
00:02:57,520 --> 00:03:01,840
Speaker 1: how she got elected, what she knows about her own district,

54
00:03:01,919 --> 00:03:05,720
Speaker 1: how she goes about representing the interests of her district.

55
00:03:05,840 --> 00:03:11,840
Speaker 1: She represents Dallas, Texas, the city of a full disclosure.

56
00:03:11,840 --> 00:03:15,000
Speaker 1: With my son going to school in Dallas, I am

57
00:03:15,080 --> 00:03:20,359
Speaker 1: certainly paying a lot more attention to Dallas governance, Texas governance, Dallas.

58
00:03:20,400 --> 00:03:23,560
Speaker 1: You know, so I myself want to learn more about

59
00:03:23,560 --> 00:03:27,880
Speaker 1: the intricacies of public service and of policy in and

60
00:03:27,919 --> 00:03:33,640
Speaker 1: around North Texas. So and look, she's this is going

61
00:03:33,720 --> 00:03:36,240
Speaker 1: to be she's now a Senate candidate. When I was,

62
00:03:36,840 --> 00:03:39,680
Speaker 1: in fact we I think the last question of the interview,

63
00:03:39,680 --> 00:03:42,160
Speaker 1: we talked about the idea that she could run for Senate.

64
00:03:42,280 --> 00:03:45,680
Speaker 1: She she didn't sound like somebody who was eager to

65
00:03:45,720 --> 00:03:48,920
Speaker 1: do it. She was enjoyed, I think, being speculated upon.

66
00:03:50,080 --> 00:03:52,760
Speaker 1: But something clearly changed in the last three months and

67
00:03:52,800 --> 00:03:56,080
Speaker 1: she was more I think in fairness, the redistricting probably

68
00:03:56,160 --> 00:03:57,440
Speaker 1: had a lot to do with it. If they don't

69
00:03:57,440 --> 00:03:59,400
Speaker 1: get rid of her district, does she run for senate?

70
00:04:01,360 --> 00:04:07,480
Speaker 1: That's that's interesting. But there's a look her Democratic primary

71
00:04:07,520 --> 00:04:10,640
Speaker 1: is going to be fascinating, Okay, is this is a

72
00:04:10,680 --> 00:04:14,040
Speaker 1: primary that is not going to have many ideological disagreements.

73
00:04:14,520 --> 00:04:22,360
Speaker 1: James Talerico, the state legislator. Pastor and Jasmine Crockett are

74
00:04:23,080 --> 00:04:26,120
Speaker 1: a member of Congress. I don't think they disagree on

75
00:04:26,160 --> 00:04:30,760
Speaker 1: a lot of issues. I think they disagree on tactics.

76
00:04:30,880 --> 00:04:34,320
Speaker 1: I think they disagree on tone and tenor. And I

77
00:04:34,320 --> 00:04:37,320
Speaker 1: think there's a question you know what you know if

78
00:04:37,360 --> 00:04:40,440
Speaker 1: you're thinking about a preview of what I think the

79
00:04:40,480 --> 00:04:43,160
Speaker 1: twenty twenty eight Democratic primary campaigns are going to be about,

80
00:04:43,160 --> 00:04:46,479
Speaker 1: which is essentially fight versus unite. You know, do you

81
00:04:46,520 --> 00:04:49,320
Speaker 1: need to stand stronger here and sort of frankly every

82
00:04:49,320 --> 00:04:51,480
Speaker 1: once in a while that, you know what, you got

83
00:04:51,480 --> 00:04:53,479
Speaker 1: to punch the other side in the face, You got

84
00:04:53,480 --> 00:04:56,880
Speaker 1: to bust their lip open type of mindset versus trying

85
00:04:56,920 --> 00:05:02,760
Speaker 1: to appeal to the larger center. Now, Talla Errico wants

86
00:05:02,760 --> 00:05:07,320
Speaker 1: to be a progressive but outreach to on the other side.

87
00:05:07,440 --> 00:05:11,080
Speaker 1: I think Jasmine Crockett wouldn't say she's not trying to

88
00:05:11,160 --> 00:05:14,760
Speaker 1: reach out, but I think she's believes you've got to

89
00:05:14,800 --> 00:05:18,560
Speaker 1: step up and fight a little bit harder and lean

90
00:05:18,680 --> 00:05:21,120
Speaker 1: in a little bit and not be afraid to both

91
00:05:21,120 --> 00:05:25,320
Speaker 1: throw a punch and take a punch when it comes

92
00:05:25,320 --> 00:05:28,240
Speaker 1: to politics. So I do think that what we're going

93
00:05:28,320 --> 00:05:30,120
Speaker 1: to see in Texas for the next two and a

94
00:05:30,160 --> 00:05:34,200
Speaker 1: half months is going to define both parties. Where is

95
00:05:34,240 --> 00:05:37,640
Speaker 1: the Democratic Party headed? Where's the Republican Party headed? With

96
00:05:37,680 --> 00:05:40,440
Speaker 1: that three way primary between John Corn and Ken Paxton

97
00:05:41,120 --> 00:05:48,320
Speaker 1: and Wesley Hunt, it's interesting to me that her candidacy,

98
00:05:48,400 --> 00:05:51,839
Speaker 1: when Jasmine Crockett got in, Colin Alred got out, he

99
00:05:51,880 --> 00:05:54,000
Speaker 1: does have an opportunity to win a House seat again

100
00:05:54,400 --> 00:05:56,320
Speaker 1: in the sort of the same general area that he

101
00:05:56,360 --> 00:06:00,000
Speaker 1: represented before. He was also a suburban North Texas congressman

102
00:06:00,040 --> 00:06:04,880
Speaker 1: before that. So I guess at a minimum, Colin alread

103
00:06:04,880 --> 00:06:08,320
Speaker 1: getting out save the Democrats from having a runoff, which

104
00:06:08,360 --> 00:06:11,400
Speaker 1: the Republicans won't be able to prevent, and that is

105
00:06:11,720 --> 00:06:16,640
Speaker 1: likely white. But the question is there's an outcome that

106
00:06:17,000 --> 00:06:20,280
Speaker 1: I think, as a political anthropologist I want to watch.

107
00:06:21,200 --> 00:06:23,599
Speaker 1: I think voters in Texas are not going to be

108
00:06:23,640 --> 00:06:26,560
Speaker 1: crazy about it. But if you get Ken Paxton as

109
00:06:26,600 --> 00:06:30,680
Speaker 1: the Republican nominee and Jasmine Crockett is the Democratic nominee,

110
00:06:32,000 --> 00:06:36,280
Speaker 1: I think it is the closest thing to a sort

111
00:06:36,320 --> 00:06:39,200
Speaker 1: of where you're going to have two candidates with high negatives,

112
00:06:39,440 --> 00:06:43,920
Speaker 1: very polarizing for different reasons. Probably not since Oliver North

113
00:06:44,040 --> 00:06:47,760
Speaker 1: Chuck Robb nineteen ninety four would you have a race

114
00:06:47,800 --> 00:06:53,440
Speaker 1: that will have everybody you interested Nationally. Both nominees underwater

115
00:06:53,600 --> 00:06:59,880
Speaker 1: fave unfaith higher unfavorable rating than favorable rating, And it

116
00:07:00,160 --> 00:07:04,719
Speaker 1: really is going to put swing voters in an interesting position.

117
00:07:05,360 --> 00:07:07,080
Speaker 1: You know, are they going to vote their party, are

118
00:07:07,120 --> 00:07:09,239
Speaker 1: they going to vote against are they going to vote

119
00:07:09,360 --> 00:07:12,200
Speaker 1: you know what are going to be the different because

120
00:07:12,680 --> 00:07:17,360
Speaker 1: because you know and we will Crockett gain an advantage

121
00:07:17,400 --> 00:07:23,800
Speaker 1: because she's got higher personal character than Paxton, or because

122
00:07:23,800 --> 00:07:27,320
Speaker 1: of that, will the attacks on Crockett gets so personal

123
00:07:27,440 --> 00:07:30,880
Speaker 1: and all of that that it gets even uglier because

124
00:07:30,880 --> 00:07:34,200
Speaker 1: of that, we could see just the nastiest centers when

125
00:07:34,240 --> 00:07:37,480
Speaker 1: when you have two unpopular figures or two figures that

126
00:07:37,520 --> 00:07:43,000
Speaker 1: are going to be considered polarizing, that increases the level

127
00:07:43,080 --> 00:07:49,040
Speaker 1: of negatives to heights you thought were not possible. And

128
00:07:49,360 --> 00:07:52,960
Speaker 1: you know, Clinton Trump was probably the closest presidential we

129
00:07:53,000 --> 00:07:55,280
Speaker 1: had where we had these double haters, and it was

130
00:07:55,320 --> 00:08:00,520
Speaker 1: the double haters that decided it, right, And this is

131
00:08:00,560 --> 00:08:04,160
Speaker 1: where I think it's a totally unknown thing. Right. I

132
00:08:04,280 --> 00:08:09,880
Speaker 1: think double haters are going to end up being slightly

133
00:08:09,920 --> 00:08:15,440
Speaker 1: more anti Paxton than anti Crockett. But maybe I'm underestimating

134
00:08:15,440 --> 00:08:18,520
Speaker 1: the role of race with some Texas swing voters as well.

135
00:08:18,560 --> 00:08:20,720
Speaker 1: So I don't want to I'm not I'm not going

136
00:08:20,800 --> 00:08:23,720
Speaker 1: to be naive about that either. But I do think

137
00:08:23,840 --> 00:08:26,640
Speaker 1: Paxton on the character level is at such a level

138
00:08:26,920 --> 00:08:30,600
Speaker 1: the abuse of office was impeached by members of his

139
00:08:30,680 --> 00:08:36,280
Speaker 1: own party potentially makes him unelectable, and then it inserts

140
00:08:36,320 --> 00:08:38,600
Speaker 1: Trump in this in such a way, and I just

141
00:08:38,640 --> 00:08:40,959
Speaker 1: don't know what Republican turnout it's going to be. Then again,

142
00:08:43,480 --> 00:08:46,200
Speaker 1: you know, the fascinating litmus test is actually going to

143
00:08:46,200 --> 00:08:50,000
Speaker 1: be the neighborhood that SMU is in Crockett versus Paxton.

144
00:08:50,040 --> 00:08:53,599
Speaker 1: Who can carry that neighborhood. It's a John Cornan neighborhood,

145
00:08:53,640 --> 00:08:56,160
Speaker 1: it's a George W. Bush neighborhood, but it ain't a

146
00:08:56,240 --> 00:08:59,960
Speaker 1: Donald Trump neighborhood. And I don't think it's a Can

147
00:09:00,040 --> 00:09:03,679
Speaker 1: Paxton neighborhood. But it also was an Adjasmine Crockett neighborhood.

148
00:09:04,200 --> 00:09:07,400
Speaker 1: So it's going to be, you know, if you're ironically

149
00:09:07,440 --> 00:09:11,080
Speaker 1: i'd like to think, and I'm being totally self self

150
00:09:11,120 --> 00:09:15,960
Speaker 1: servicing here for myself, is that is that I actually

151
00:09:16,000 --> 00:09:18,760
Speaker 1: will be going to see my son in the in

152
00:09:19,040 --> 00:09:22,160
Speaker 1: the if that is our and in some ways maybe

153
00:09:22,160 --> 00:09:28,199
Speaker 1: this is what our politics. This is the election Texans deserve,

154
00:09:28,400 --> 00:09:33,960
Speaker 1: not necessarily the one that they want, but Crockett v. Paxton,

155
00:09:36,480 --> 00:09:39,040
Speaker 1: the likelihood of it, you know, is probably in the

156
00:09:39,080 --> 00:09:42,480
Speaker 1: twenty to thirty percent range of this happening. I think

157
00:09:42,520 --> 00:09:45,840
Speaker 1: it's a fifty you know, I think it's a fifty

158
00:09:45,840 --> 00:09:48,600
Speaker 1: to fifty proposition on the Democratic side. I think Tolerico

159
00:09:48,640 --> 00:09:51,120
Speaker 1: will raise slightly more money than Crockett, but only slightly.

160
00:09:51,760 --> 00:09:54,760
Speaker 1: I think Crockett will have the UH, will be a

161
00:09:54,960 --> 00:09:58,800
Speaker 1: very formidable, and it'll be interesting to watch the bass. Right.

162
00:09:58,880 --> 00:10:01,200
Speaker 1: She may do better in Dallas, in Houston, Tallerrico may

163
00:10:01,240 --> 00:10:05,120
Speaker 1: knew better in a in Austin and in San Antonio.

164
00:10:06,640 --> 00:10:09,200
Speaker 1: And then you have what we're watching on the Republican side.

165
00:10:09,240 --> 00:10:12,600
Speaker 1: All that means is that the Texas Senate race is

166
00:10:12,960 --> 00:10:19,320
Speaker 1: absolutely has the ability to become sort of its own thing.

167
00:10:20,840 --> 00:10:24,320
Speaker 1: You know, there were, there's, there's there's I always and

168
00:10:24,400 --> 00:10:26,680
Speaker 1: this is a podcast series that I may end up doing.

169
00:10:26,760 --> 00:10:30,720
Speaker 1: Right the greatest, the greatest camp the twenty greatest campaigns

170
00:10:30,720 --> 00:10:34,320
Speaker 1: that weren't presidential races of all time. Right for me,

171
00:10:35,080 --> 00:10:39,000
Speaker 1: Arnold Schwarzenegger, the recall campaign, you put Jesse Ventura on that.

172
00:10:40,320 --> 00:10:42,840
Speaker 1: I put Ali Northchuck rob on that, which turned into

173
00:10:42,840 --> 00:10:45,280
Speaker 1: a four way race. You actually had two more people

174
00:10:45,320 --> 00:10:49,520
Speaker 1: jump in running as independent candidates on that. On that front,

175
00:10:49,640 --> 00:10:54,559
Speaker 1: so Crockett Paxton has the has the chance of breaking

176
00:10:54,800 --> 00:10:59,120
Speaker 1: becoming an all timer for non presidential because of how

177
00:10:59,160 --> 00:11:03,000
Speaker 1: contentious it will be, how expensive it'll be. The stakes

178
00:11:03,040 --> 00:11:08,360
Speaker 1: are huge. The future of the ideological direction and sort

179
00:11:08,360 --> 00:11:13,760
Speaker 1: of also almost emotional direction of both parties would be

180
00:11:13,840 --> 00:11:18,080
Speaker 1: on the ballot in that front. So, without further ado,

181
00:11:18,640 --> 00:11:21,720
Speaker 1: giving that little pretext to why Texas Senate could be

182
00:11:23,000 --> 00:11:26,360
Speaker 1: a race above all others for the twenty twenty six cycle,

183
00:11:27,320 --> 00:11:32,560
Speaker 1: here's an encore presentation of my conversation with Dallas Area

184
00:11:33,040 --> 00:11:39,960
Speaker 1: Member of Congress Democrat Jasmine Croft. Enjoy Having good life

185
00:11:39,960 --> 00:11:44,120
Speaker 1: insurance is incredibly important. I know from personal experience. I

186
00:11:44,160 --> 00:11:46,400
Speaker 1: was sixteen when my father passed away. We didn't have

187
00:11:46,400 --> 00:11:49,360
Speaker 1: any money. He didn't leave us in the best shape.

188
00:11:49,520 --> 00:11:53,760
Speaker 1: My mother, single mother, now widow, myself sixteen trying to

189
00:11:53,760 --> 00:11:55,360
Speaker 1: figure out how am I going to pay for college

190
00:11:55,880 --> 00:11:58,920
Speaker 1: and lo and behold, my dad had one life insurance

191
00:11:58,960 --> 00:12:01,760
Speaker 1: policy that we found. It wasn't a lot, but it

192
00:12:01,800 --> 00:12:04,600
Speaker 1: was important at the time, and it's why I was

193
00:12:04,679 --> 00:12:08,000
Speaker 1: able to go to college. Little did he know how

194
00:12:08,040 --> 00:12:11,840
Speaker 1: important that would be in that moment. Well guess what.

195
00:12:12,120 --> 00:12:14,600
Speaker 1: That's why I am here to tell you about Etho's life.

196
00:12:15,040 --> 00:12:17,400
Speaker 1: They can provide you with peace of mind knowing your

197
00:12:17,440 --> 00:12:20,760
Speaker 1: family is protected even if the worst comes to pass.

198
00:12:21,120 --> 00:12:24,360
Speaker 1: Ethos is an online platform that makes getting life insurance

199
00:12:24,400 --> 00:12:27,480
Speaker 1: fast and easy, all designed to protect your family's future

200
00:12:27,520 --> 00:12:31,040
Speaker 1: in minutes, not months. There's no complicated process, and it's

201
00:12:31,200 --> 00:12:35,400
Speaker 1: one hundred percent online. There's no medical exam require you

202
00:12:35,480 --> 00:12:37,920
Speaker 1: just answer a few health questions online. You can get

203
00:12:37,960 --> 00:12:39,720
Speaker 1: a quote in as little as ten minutes, and you

204
00:12:39,720 --> 00:12:43,440
Speaker 1: can get same day coverage without ever leaving your home.

205
00:12:44,160 --> 00:12:46,040
Speaker 1: You can get up to three million dollars in coverage,

206
00:12:46,040 --> 00:12:48,120
Speaker 1: and some policies start as low as two dollars a

207
00:12:48,160 --> 00:12:51,440
Speaker 1: day that would be billed monthly. As of March twenty

208
00:12:51,480 --> 00:12:54,480
Speaker 1: twenty five, Business Insider named Ethos the number one no

209
00:12:54,600 --> 00:12:59,000
Speaker 1: medical exam instant life insurance provider. So protect your family

210
00:12:59,480 --> 00:13:02,839
Speaker 1: with life insurance from Ethos. Get your free quoted ethos

211
00:13:03,040 --> 00:13:07,320
Speaker 1: dot com slash chuck. So again, that's Ethos dot com

212
00:13:07,360 --> 00:13:11,760
Speaker 1: slash chuck. Application times may vary and the rates themselves

213
00:13:11,800 --> 00:13:14,720
Speaker 1: may vary as well, but trust me, life insurance is

214
00:13:14,720 --> 00:13:17,559
Speaker 1: something you should really think about it, especially if you've

215
00:13:17,559 --> 00:13:22,920
Speaker 1: got a growing family. All right in joining me now

216
00:13:23,080 --> 00:13:25,640
Speaker 1: is one of the rising stars of the Democratic Party.

217
00:13:25,920 --> 00:13:31,280
Speaker 1: Jasmine Crockett, Democratic congresswoman from Dallas, Texas representing the thirtieth

218
00:13:31,320 --> 00:13:34,240
Speaker 1: Congressional district congresswoman. Welcome to the Chuck Podcast.

219
00:13:34,720 --> 00:13:35,560
Speaker 2: It's good to see you.

220
00:13:36,080 --> 00:13:38,200
Speaker 1: Well, look, I'm gonna make you do one of my

221
00:13:38,240 --> 00:13:41,320
Speaker 1: favorite old from the Old Colbert Show was get to

222
00:13:41,360 --> 00:13:43,400
Speaker 1: know a congressional district when he used to do that.

223
00:13:43,880 --> 00:13:47,240
Speaker 1: So tell me yours, tell him take, give, give, my

224
00:13:47,840 --> 00:13:51,439
Speaker 1: give our listeners and viewers. Here a quick tour of

225
00:13:51,480 --> 00:13:54,319
Speaker 1: the thirtieth district in Dallas, and you know, point out

226
00:13:54,320 --> 00:13:57,080
Speaker 1: a few landmarks. You know, is the school Book Depository

227
00:13:57,080 --> 00:13:59,680
Speaker 1: in your district or not? Is SMU? I say that

228
00:13:59,720 --> 00:14:02,880
Speaker 1: as a future father of an SMU student studying next fall.

229
00:14:03,400 --> 00:14:07,760
Speaker 1: So tell me about the geographic and the and the

230
00:14:07,760 --> 00:14:09,360
Speaker 1: demographic nature of your district.

231
00:14:09,720 --> 00:14:13,160
Speaker 3: Yes, So when most people think of Dallas, it belongs

232
00:14:13,200 --> 00:14:17,880
Speaker 3: to me. Most people associate downtown Dallas and the downtown

233
00:14:17,960 --> 00:14:22,240
Speaker 3: Skyline with Dallas, and all of that is mine. But

234
00:14:22,480 --> 00:14:25,200
Speaker 3: basically that's pretty much as far north as I go.

235
00:14:25,280 --> 00:14:27,680
Speaker 3: I go a little bit further north and I get

236
00:14:27,720 --> 00:14:31,760
Speaker 3: to Dallas love Field, which for all of my Southwest lovers,

237
00:14:32,680 --> 00:14:36,480
Speaker 3: that is exactly where Southwest Airlines is based, along with

238
00:14:36,560 --> 00:14:39,840
Speaker 3: the JSX Airlines for those that like a little bit

239
00:14:39,840 --> 00:14:42,560
Speaker 3: more luxury or I found out that your dogs get

240
00:14:42,640 --> 00:14:44,600
Speaker 3: to fly and kind of have all the space that

241
00:14:44,640 --> 00:14:45,200
Speaker 3: they want.

242
00:14:45,520 --> 00:14:49,080
Speaker 1: I'm not rights. I've never heard of this airline. They

243
00:14:49,160 --> 00:14:51,080
Speaker 1: let dogs sort of roam free.

244
00:14:51,600 --> 00:14:53,600
Speaker 3: It's I don't know, I haven't been on it, but

245
00:14:53,640 --> 00:14:56,000
Speaker 3: that's what a dog lover told me. Is like they

246
00:14:56,080 --> 00:15:00,000
Speaker 3: only fly JSX now because of the space that they're

247
00:15:00,120 --> 00:15:00,520
Speaker 3: dog is.

248
00:15:00,560 --> 00:15:02,440
Speaker 2: They don't have to put like their dog under or

249
00:15:02,440 --> 00:15:03,320
Speaker 2: in a cage or something.

250
00:15:03,360 --> 00:15:03,760
Speaker 1: I don't know.

251
00:15:04,640 --> 00:15:08,320
Speaker 2: And then you go down in your district, love field

252
00:15:08,360 --> 00:15:09,080
Speaker 2: is mine, I.

253
00:15:09,000 --> 00:15:09,760
Speaker 1: Gotcha, okay.

254
00:15:10,480 --> 00:15:12,480
Speaker 3: And then you go all the way to the southern

255
00:15:12,560 --> 00:15:16,080
Speaker 3: Dallas County border. You can get from one end of

256
00:15:16,120 --> 00:15:19,240
Speaker 3: my district to the other in about thirty minutes, which

257
00:15:19,320 --> 00:15:21,200
Speaker 3: there's not a lot of members of Congress that can

258
00:15:21,200 --> 00:15:24,320
Speaker 3: say that. So that means that my district is pretty compact.

259
00:15:25,160 --> 00:15:28,720
Speaker 3: You get to the southern border and that kind of

260
00:15:28,840 --> 00:15:31,320
Speaker 3: ends the districts, but you start to get into suburbs.

261
00:15:31,720 --> 00:15:37,120
Speaker 3: My district is majority minority. It is a Section two district.

262
00:15:37,680 --> 00:15:40,280
Speaker 3: So for those of you that have been looking into

263
00:15:41,280 --> 00:15:44,520
Speaker 3: the fights that have been waged at the Supreme Court level,

264
00:15:44,720 --> 00:15:48,040
Speaker 3: and it's all about representation, especially people of color being

265
00:15:48,080 --> 00:15:52,800
Speaker 3: able to elect their representation. It is a very historic district.

266
00:15:52,800 --> 00:15:56,000
Speaker 3: I am only the second person to ever represent the district.

267
00:15:57,000 --> 00:16:01,000
Speaker 1: My predecessor is she got Eddiebridiys John's and Kirkman Farmer.

268
00:16:01,080 --> 00:16:04,200
Speaker 1: Was it ninety two her first year, yes, yes, exactly

269
00:16:04,280 --> 00:16:06,840
Speaker 1: after the voting basically the updated Voting Right Tact that

270
00:16:07,320 --> 00:16:11,160
Speaker 1: created the Bush the first Bush Bush forty one Justice

271
00:16:11,160 --> 00:16:15,400
Speaker 1: Department in many ways helped and for a variety of

272
00:16:15,440 --> 00:16:21,480
Speaker 1: political motivations, but helped make sure there was more representation

273
00:16:22,520 --> 00:16:24,120
Speaker 1: in the African Americans in Congress.

274
00:16:24,440 --> 00:16:27,480
Speaker 3: And she was actually in the Senate, the last black

275
00:16:27,520 --> 00:16:30,640
Speaker 3: woman to actually serve in the Texas Senate. We've only

276
00:16:30,640 --> 00:16:34,320
Speaker 3: had two. The first one is Barbara Jordan. And so

277
00:16:34,400 --> 00:16:38,320
Speaker 3: she actually chaired the redistricting committee that ended up drawing

278
00:16:38,360 --> 00:16:41,280
Speaker 3: these maps. And then so she chaired that committee, did

279
00:16:41,320 --> 00:16:44,240
Speaker 3: that in nineteen ninety and ninety two, she ran for

280
00:16:44,280 --> 00:16:48,080
Speaker 3: the seat, won the seat, and she served until twenty

281
00:16:48,120 --> 00:16:51,120
Speaker 3: two basically, and then I swore in in twenty twenty three.

282
00:16:51,960 --> 00:16:55,239
Speaker 3: The reason that I brought up JSX and Southwest Airlines

283
00:16:56,040 --> 00:16:58,800
Speaker 3: is because I really do have an aviation rich district.

284
00:16:59,240 --> 00:16:59,920
Speaker 2: Not only do.

285
00:16:59,880 --> 00:17:02,800
Speaker 3: I have kind of two airlines that are right there

286
00:17:03,440 --> 00:17:06,919
Speaker 3: anchored in my district. American Airlines is right up the street,

287
00:17:07,040 --> 00:17:09,720
Speaker 3: not in my district, but they're so big that they

288
00:17:09,720 --> 00:17:13,240
Speaker 3: claim us all, that is for sure. But also air Bus,

289
00:17:13,280 --> 00:17:15,880
Speaker 3: which some people are starting to hear more about Airbus

290
00:17:15,880 --> 00:17:19,520
Speaker 3: as Boeing what's having issues. Usually if you are flying

291
00:17:19,600 --> 00:17:22,879
Speaker 3: domestically on a plane, it is typically an air Bus

292
00:17:22,880 --> 00:17:27,400
Speaker 3: plane or Boeing, and so Airbus actually has a facility

293
00:17:27,440 --> 00:17:30,560
Speaker 3: that's within my district. Airbus is probably better known for

294
00:17:30,600 --> 00:17:31,560
Speaker 3: their helicopters.

295
00:17:31,600 --> 00:17:33,480
Speaker 2: If you're in the aviation kind of.

296
00:17:33,480 --> 00:17:37,040
Speaker 3: World, they are the ones that build pretty much all

297
00:17:37,080 --> 00:17:40,280
Speaker 3: of our life saving helicopters, whether they are helicopters for

298
00:17:40,359 --> 00:17:43,920
Speaker 3: firefighters and they're helping to fight wildfires or whether we're

299
00:17:43,920 --> 00:17:45,760
Speaker 3: talking about the coast Guard or whether we're talking about

300
00:17:45,800 --> 00:17:53,159
Speaker 3: law enforcement. They specially retrofit the helicopters to be, you know,

301
00:17:53,320 --> 00:17:56,480
Speaker 3: specific to whichever area they're in. So with that, I

302
00:17:56,520 --> 00:17:59,080
Speaker 3: have a lot of aviation, so I have had to

303
00:17:59,160 --> 00:18:02,200
Speaker 3: learn a lot about aviation. But one of the coolest

304
00:18:02,240 --> 00:18:04,440
Speaker 3: things that I was able to do that I think

305
00:18:04,560 --> 00:18:07,600
Speaker 3: every member should be allowed to do, is I was

306
00:18:07,680 --> 00:18:11,080
Speaker 3: able to actually take a look of my district from

307
00:18:11,119 --> 00:18:15,320
Speaker 3: above because Airbus took me on a helicopter ride around

308
00:18:15,359 --> 00:18:16,000
Speaker 3: my district.

309
00:18:16,359 --> 00:18:18,119
Speaker 1: So what did that teach you? What did that show you?

310
00:18:18,720 --> 00:18:19,720
Speaker 2: So you know, you have.

311
00:18:19,720 --> 00:18:21,720
Speaker 3: People that come in and they give you numbers or

312
00:18:21,720 --> 00:18:24,159
Speaker 3: they tell you that they have a type of industry.

313
00:18:24,560 --> 00:18:25,400
Speaker 2: I could see it.

314
00:18:25,800 --> 00:18:30,280
Speaker 3: So I am a logistically heavy district, Like logistics run

315
00:18:30,320 --> 00:18:34,440
Speaker 3: the world. So beyond these kind of airplanes. These airplanes

316
00:18:34,480 --> 00:18:38,240
Speaker 3: are flying in to Dallas Love or even DFW is

317
00:18:38,280 --> 00:18:41,639
Speaker 3: where a lot of our commerce is flying into. But

318
00:18:42,000 --> 00:18:43,840
Speaker 3: you know, one of the things my predecessor worked on

319
00:18:43,960 --> 00:18:46,560
Speaker 3: was an inland port. And now I can see all

320
00:18:46,600 --> 00:18:50,080
Speaker 3: the trucks. So I saw all of these distribution centers, right.

321
00:18:51,080 --> 00:18:54,199
Speaker 3: I knew that Home Depot had two distribution centers in

322
00:18:54,280 --> 00:18:57,800
Speaker 3: my district and there's no other district in the country

323
00:18:57,800 --> 00:19:01,600
Speaker 3: that has to. And mind you, i'mcompact, so I was thinking, oh,

324
00:19:01,600 --> 00:19:04,920
Speaker 3: I must have a lot. But JC Penny's National distribution

325
00:19:05,000 --> 00:19:07,240
Speaker 3: Center is right there in my district and so many others.

326
00:19:07,240 --> 00:19:09,600
Speaker 3: But I could see it. I could see all the trucking.

327
00:19:10,160 --> 00:19:13,439
Speaker 3: So in talking to those that were like, I've got

328
00:19:13,480 --> 00:19:15,639
Speaker 3: a number of trucking schools, and I've talked to some

329
00:19:15,680 --> 00:19:18,119
Speaker 3: of the owners, So it really kind of put it

330
00:19:18,160 --> 00:19:21,520
Speaker 3: all together for me to see it from above, and

331
00:19:21,560 --> 00:19:24,040
Speaker 3: it would probably surprise some people that I've actually ridden

332
00:19:24,080 --> 00:19:28,400
Speaker 3: Attractive Trailer in my district as well. So you go

333
00:19:28,800 --> 00:19:30,680
Speaker 3: just into my suburbs and you can get into a

334
00:19:30,680 --> 00:19:33,760
Speaker 3: little bit of farming as well, but it's mostly an

335
00:19:33,840 --> 00:19:37,600
Speaker 3: inter urban kind of district. And so we've got some

336
00:19:37,720 --> 00:19:40,960
Speaker 3: of the big corporate biggies that are based there at

337
00:19:41,080 --> 00:19:44,720
Speaker 3: and T and others a dating site that I won't meet.

338
00:19:44,760 --> 00:19:46,920
Speaker 1: It's like, I mean, you tell me, the place feels

339
00:19:46,960 --> 00:19:49,240
Speaker 1: like a magnet right now, meaning people just want to

340
00:19:49,280 --> 00:19:51,840
Speaker 1: move to that region. People want to move to that area.

341
00:19:52,160 --> 00:19:55,600
Speaker 3: Do you feel that, Oh yeah, I mean listen, during COVID,

342
00:19:56,440 --> 00:20:02,000
Speaker 3: the DFW area was growing exponential and overall we've seen

343
00:20:02,040 --> 00:20:05,119
Speaker 3: the growth in Texas just kind of be off the charts.

344
00:20:05,160 --> 00:20:07,280
Speaker 3: They thought we were going to get four new seats

345
00:20:07,680 --> 00:20:10,680
Speaker 3: and redistricting. We feel like there may have been an undercount.

346
00:20:10,680 --> 00:20:12,480
Speaker 3: There was a little pandemic that was going on. We

347
00:20:12,520 --> 00:20:15,760
Speaker 3: got three new seats and now they're projecting for twenty

348
00:20:15,840 --> 00:20:18,960
Speaker 3: thirty that will get an additional four seats. So no,

349
00:20:19,080 --> 00:20:22,639
Speaker 3: we are growing leaps and bounds in the state of Texas.

350
00:20:22,960 --> 00:20:26,879
Speaker 3: But truly, DFW has been one of those fastest growing areas.

351
00:20:27,400 --> 00:20:29,399
Speaker 1: So how'd you get to Texas? How'd you get to Dallas?

352
00:20:29,480 --> 00:20:31,480
Speaker 1: Because I know you were born and were you how

353
00:20:31,480 --> 00:20:34,959
Speaker 1: long did you live in Saint Louis till I was eighteen? Okay?

354
00:20:35,000 --> 00:20:39,320
Speaker 1: So you're you're so do you consider.

355
00:20:40,080 --> 00:20:41,959
Speaker 2: I am Lewis?

356
00:20:42,040 --> 00:20:45,760
Speaker 3: Yes, okay, but no, I left at eighteen and I

357
00:20:45,800 --> 00:20:48,359
Speaker 3: was like, I'm not coming back and I haven't been back.

358
00:20:48,480 --> 00:20:49,679
Speaker 2: So left at eighteen.

359
00:20:50,000 --> 00:20:52,600
Speaker 1: Lewis is a tragedy to me in so many levels.

360
00:20:52,680 --> 00:20:54,960
Speaker 1: I just I it really. I have a lot of

361
00:20:54,960 --> 00:20:57,639
Speaker 1: family there, I've been have so many I go. I

362
00:20:57,640 --> 00:21:00,440
Speaker 1: go there all the time for various family events. Yeah,

363
00:21:00,480 --> 00:21:05,840
Speaker 1: and Saint Louis was this amazing, thriving city for you know,

364
00:21:06,160 --> 00:21:09,640
Speaker 1: essentially for the first eighty years of the twentieth century.

365
00:21:10,320 --> 00:21:14,480
Speaker 1: And it's sort of like it's like it lost every

366
00:21:15,080 --> 00:21:18,640
Speaker 1: it like it lost every deal right TWA left and

367
00:21:18,720 --> 00:21:21,840
Speaker 1: you know this left and the financial ag edwards left

368
00:21:21,880 --> 00:21:25,680
Speaker 1: and just it all just and you're like, I remember

369
00:21:25,760 --> 00:21:29,159
Speaker 1: during the Amazon headquarters debate, I was like, please go

370
00:21:29,200 --> 00:21:32,359
Speaker 1: to Saint Louis, Please put it in Saint Louis. It

371
00:21:32,920 --> 00:21:36,800
Speaker 1: is we need to revise this great American city. What

372
00:21:36,880 --> 00:21:38,879
Speaker 1: would you do if you could wave a magic.

373
00:21:38,680 --> 00:21:42,200
Speaker 2: Wand I think that you're right. I mean, even though

374
00:21:42,200 --> 00:21:45,600
Speaker 2: I still wouldn't want to go home, I do.

375
00:21:46,240 --> 00:21:49,680
Speaker 3: I think that you point out an interesting fact because

376
00:21:49,720 --> 00:21:51,640
Speaker 3: I feel like Saint Louis didn't keep up. I feel

377
00:21:51,640 --> 00:21:53,719
Speaker 3: like Saint Louis was ahead of the curve. Right we

378
00:21:53,760 --> 00:21:55,480
Speaker 3: had the Mississippi right to the west.

379
00:21:55,720 --> 00:21:58,600
Speaker 1: It was you talk about Port that was the warld

380
00:21:58,680 --> 00:21:59,720
Speaker 1: most important.

381
00:21:59,359 --> 00:22:03,000
Speaker 2: Port went through up and down the Mississippi right.

382
00:22:03,080 --> 00:22:05,879
Speaker 3: So like this was like a bustling area, but like

383
00:22:06,040 --> 00:22:08,399
Speaker 3: as far as being able to kind of transition with

384
00:22:08,440 --> 00:22:09,640
Speaker 3: the times and.

385
00:22:09,640 --> 00:22:11,120
Speaker 2: Being able to kind of keep up, I.

386
00:22:11,080 --> 00:22:12,919
Speaker 3: Think at one point in time it was like they

387
00:22:12,960 --> 00:22:15,159
Speaker 3: were ahead of the times, and then they got a

388
00:22:15,200 --> 00:22:17,600
Speaker 3: little bit behind. I mean, I'm glad that Anheuser Bush

389
00:22:18,080 --> 00:22:20,520
Speaker 3: is still right there anchored in Saint Louis.

390
00:22:20,720 --> 00:22:23,560
Speaker 1: I know, but it's really it's, you know, look and they.

391
00:22:23,720 --> 00:22:25,639
Speaker 2: Trust they're all over because I don't know.

392
00:22:26,480 --> 00:22:29,360
Speaker 3: Right right there in my district in Texas, yes, we

393
00:22:29,680 --> 00:22:33,720
Speaker 3: actually have the sixth largest beer distributor right there in

394
00:22:33,880 --> 00:22:34,399
Speaker 3: my district.

395
00:22:34,520 --> 00:22:36,120
Speaker 2: I do lots of Vedam District too.

396
00:22:36,119 --> 00:22:39,840
Speaker 3: But nevertheless, Anne has Bush still is you know, I

397
00:22:39,880 --> 00:22:41,959
Speaker 3: mean that's you know, this is I grew up as

398
00:22:41,960 --> 00:22:45,280
Speaker 3: a girl looking at the class deals. I mean, a

399
00:22:45,440 --> 00:22:48,159
Speaker 3: very big thing. But I think that it's a lesson

400
00:22:48,200 --> 00:22:49,920
Speaker 3: that we need to learn. I mean, if I had

401
00:22:49,920 --> 00:22:54,000
Speaker 3: a magic wand, I would say that I would try

402
00:22:54,040 --> 00:22:59,080
Speaker 3: to get the population in Saint Louis educated in a

403
00:22:59,200 --> 00:23:04,320
Speaker 3: future works capacity or a present day workforce capacity, understanding

404
00:23:04,440 --> 00:23:10,119
Speaker 3: technology understanding STEM, which also goes with technology obviously, but

405
00:23:10,200 --> 00:23:12,359
Speaker 3: I would get them focused on that figuring out who

406
00:23:12,520 --> 00:23:15,560
Speaker 3: is going to be over making sure that we can

407
00:23:15,560 --> 00:23:17,400
Speaker 3: safeguard what AI is and.

408
00:23:17,320 --> 00:23:17,960
Speaker 2: What it ain't.

409
00:23:18,640 --> 00:23:21,960
Speaker 3: So we need people that are trained up and knowledgeable enough.

410
00:23:22,000 --> 00:23:24,639
Speaker 3: But we'll do the good work of being government employees,

411
00:23:24,720 --> 00:23:27,000
Speaker 3: even though you could go out in private industry and

412
00:23:27,040 --> 00:23:31,320
Speaker 3: make more. But I would really steer them towards more technology.

413
00:23:31,359 --> 00:23:34,439
Speaker 3: And then even as we talk about logistics, like, I

414
00:23:34,480 --> 00:23:37,639
Speaker 3: don't really know what other kind of logistical kind of

415
00:23:37,680 --> 00:23:41,400
Speaker 3: angles they have besides the actual Mississippi right.

416
00:23:41,840 --> 00:23:43,080
Speaker 2: So honestly it's.

417
00:23:43,960 --> 00:23:45,239
Speaker 1: Not a bad one. I know it's not.

418
00:23:47,080 --> 00:23:48,080
Speaker 2: I'm definitely not seeing that.

419
00:23:48,160 --> 00:23:50,719
Speaker 3: But like the fact is, I'm talking to you about

420
00:23:50,840 --> 00:23:52,920
Speaker 3: my district and how.

421
00:23:52,720 --> 00:23:55,520
Speaker 2: Many planes come through, right, Like w is one of

422
00:23:55,520 --> 00:23:56,040
Speaker 2: the law.

423
00:23:55,920 --> 00:23:58,480
Speaker 1: That's commerce, and commerce leads to jobs and all.

424
00:23:58,760 --> 00:24:02,239
Speaker 3: That's exactly right, So like it's kind of you know,

425
00:24:02,359 --> 00:24:05,440
Speaker 3: and when I talked about those trucks, right, it's the trains,

426
00:24:05,480 --> 00:24:08,240
Speaker 3: it's the trucks, and it's the planes, right. And so

427
00:24:08,480 --> 00:24:11,080
Speaker 3: even though I don't have a big river coming through

428
00:24:11,119 --> 00:24:13,240
Speaker 3: my district, we are doing logistics.

429
00:24:13,320 --> 00:24:14,920
Speaker 2: And logistics is so important.

430
00:24:15,160 --> 00:24:18,320
Speaker 3: It was so important because you know, traditionally we have

431
00:24:18,440 --> 00:24:22,679
Speaker 3: been a global economy. We historically have been building and

432
00:24:22,720 --> 00:24:27,399
Speaker 3: building and building out our our trade.

433
00:24:27,640 --> 00:24:29,840
Speaker 2: You know, in a very global way.

434
00:24:30,080 --> 00:24:32,760
Speaker 3: And now I don't really know so, but I would

435
00:24:32,800 --> 00:24:37,800
Speaker 3: say building around what you have that naturally occurs and

436
00:24:37,880 --> 00:24:41,159
Speaker 3: building that up, I think it could be fantastic and phenomenal.

437
00:24:41,240 --> 00:24:44,560
Speaker 3: So I think logistics would be a very strong space.

438
00:24:44,680 --> 00:24:48,440
Speaker 3: And then from an educational space, I think just anything

439
00:24:48,480 --> 00:24:51,560
Speaker 3: that you could do for getting people trained up for AI,

440
00:24:51,680 --> 00:24:54,160
Speaker 3: which I think is truly taken over in this moment.

441
00:24:54,359 --> 00:24:56,480
Speaker 2: And the reason I say it's a lesson is.

442
00:24:56,400 --> 00:25:00,320
Speaker 3: Because I think that we are not paying attention to

443
00:25:00,480 --> 00:25:02,359
Speaker 3: like what happened to the Saint Louis Is of the

444
00:25:02,359 --> 00:25:06,000
Speaker 3: world right and deciding that we won't be that as

445
00:25:06,040 --> 00:25:08,439
Speaker 3: a country. And I think that we are running the

446
00:25:08,520 --> 00:25:11,040
Speaker 3: risk of that, especially as we're going through these mass

447
00:25:11,040 --> 00:25:14,919
Speaker 3: deportations and things like that, like not making sure or

448
00:25:15,000 --> 00:25:18,280
Speaker 3: not allowing us to have the best of everything that

449
00:25:18,320 --> 00:25:18,800
Speaker 3: we can have.

450
00:25:19,000 --> 00:25:21,320
Speaker 1: Right, you know, it's helped Detroit they took a lot

451
00:25:21,400 --> 00:25:24,960
Speaker 1: of immigrant populations, they took a lot of refugees. You know,

452
00:25:25,000 --> 00:25:27,520
Speaker 1: it's helped Minneapolis, Saint Paul, they took a lot of refugees.

453
00:25:27,760 --> 00:25:32,919
Speaker 1: Refugees and first gen immigrants are the building blocks of

454
00:25:33,359 --> 00:25:36,880
Speaker 1: economic dynamism within a generation.

455
00:25:37,359 --> 00:25:39,560
Speaker 2: No, you're absolutely You're absolutely right.

456
00:25:39,680 --> 00:25:44,760
Speaker 3: And literally, I've traveled the world on congressional delegation trips

457
00:25:44,800 --> 00:25:47,320
Speaker 3: where my colleagues speak a lot differently when we get

458
00:25:47,320 --> 00:25:49,200
Speaker 3: out to other portions of the world.

459
00:25:49,200 --> 00:25:52,080
Speaker 1: Don't you wish that that's the way Congress work? Those

460
00:25:52,560 --> 00:25:56,199
Speaker 1: I hear those codels are what get members of Congress

461
00:25:56,200 --> 00:25:58,479
Speaker 1: to run for reelection again, meaning it sort of it

462
00:25:58,520 --> 00:26:01,639
Speaker 1: gives them hope. Boy, when we don't have a bunch

463
00:26:01,680 --> 00:26:05,040
Speaker 1: of idiot reporters like me running around shoving tape recorders

464
00:26:05,040 --> 00:26:06,720
Speaker 1: in your face or trying to get you to trash

465
00:26:06,760 --> 00:26:09,600
Speaker 1: each other. You guys could get some stuff done.

466
00:26:09,840 --> 00:26:12,320
Speaker 2: No, I mean they believe in climate change.

467
00:26:12,400 --> 00:26:15,320
Speaker 3: When we're out of the country, like it's like a

468
00:26:15,320 --> 00:26:19,080
Speaker 3: whole other world. When we start talking about the exchange programs,

469
00:26:19,080 --> 00:26:21,040
Speaker 3: like most people don't know, as we talk about in

470
00:26:21,680 --> 00:26:28,280
Speaker 3: healthcare healthcare worker shortage that Thailand produces like more nurses

471
00:26:28,320 --> 00:26:31,280
Speaker 3: than anybody, and so as we're trying to make sure

472
00:26:31,320 --> 00:26:34,600
Speaker 3: that we can take care of our population, and as

473
00:26:34,640 --> 00:26:37,040
Speaker 3: there are people that are looking for opportunities and they're

474
00:26:37,080 --> 00:26:41,280
Speaker 3: already trained up. Or the fact that there's these attacks

475
00:26:41,359 --> 00:26:44,840
Speaker 3: on our institutions right now, well that's not helping when

476
00:26:44,840 --> 00:26:48,280
Speaker 3: it comes down to exchange programs and being able to

477
00:26:48,400 --> 00:26:52,280
Speaker 3: take the unique backgrounds that some of these amazing students

478
00:26:52,320 --> 00:26:54,879
Speaker 3: have and bring them in in a collaborative way. Or

479
00:26:54,920 --> 00:26:58,919
Speaker 3: when we're snatching students off the streets right and throwing

480
00:26:58,960 --> 00:27:03,879
Speaker 3: them into some form of captivity and revoking their student visas,

481
00:27:03,920 --> 00:27:06,760
Speaker 3: like that's not making people want to send some of

482
00:27:06,800 --> 00:27:10,159
Speaker 3: their best and brightest to the institutions that historically have

483
00:27:10,240 --> 00:27:13,760
Speaker 3: been looked at as the best institutions. I can't tell

484
00:27:13,800 --> 00:27:17,240
Speaker 3: you how many times we've sat down across from whether

485
00:27:17,280 --> 00:27:20,280
Speaker 3: it was a prime minister or a president or a

486
00:27:20,400 --> 00:27:23,480
Speaker 3: secretary of this or that, and they tell us that

487
00:27:23,560 --> 00:27:27,200
Speaker 3: they went over to the United States and got their education. Literally,

488
00:27:27,280 --> 00:27:30,639
Speaker 3: people around the world have been educated right here in

489
00:27:30,680 --> 00:27:33,720
Speaker 3: the United States, and people in their home countries respect that.

490
00:27:33,800 --> 00:27:35,879
Speaker 3: They look at that and it has been a badget.

491
00:27:35,960 --> 00:27:39,320
Speaker 1: That's why they're in charge, exactly because getting an American

492
00:27:39,440 --> 00:27:41,879
Speaker 1: education put them a little bit higher on their ladder.

493
00:27:42,080 --> 00:27:44,560
Speaker 3: That's exactly right. And I don't know that that's going

494
00:27:44,600 --> 00:27:45,600
Speaker 3: to be the case going forward.

495
00:27:45,760 --> 00:27:47,600
Speaker 1: So let me start with you've been in Congress a

496
00:27:47,640 --> 00:27:49,560
Speaker 1: short time. There's going to be some people this is

497
00:27:49,600 --> 00:27:51,359
Speaker 1: the first time they've heard you for more than a

498
00:27:51,400 --> 00:27:54,360
Speaker 1: few minutes, meaning they've may have gotten a piece of you,

499
00:27:54,400 --> 00:27:58,520
Speaker 1: maybe seen something go viral. When it comes to communicating

500
00:27:58,560 --> 00:28:01,800
Speaker 1: in the modern era, going viral matters, But going viral

501
00:28:01,880 --> 00:28:04,600
Speaker 1: can be a double edged sort. And I think you

502
00:28:04,640 --> 00:28:06,720
Speaker 1: tell me I feel like you've experienced both edges of

503
00:28:06,720 --> 00:28:11,080
Speaker 1: that sort at times. How much of it is a

504
00:28:11,160 --> 00:28:13,119
Speaker 1: necessary evil in your mind and how much of this

505
00:28:13,240 --> 00:28:16,960
Speaker 1: is just, Hey, this is the way it works now,

506
00:28:17,200 --> 00:28:18,960
Speaker 1: and you know this is the way I have to

507
00:28:18,960 --> 00:28:19,240
Speaker 1: do it.

508
00:28:19,840 --> 00:28:21,360
Speaker 2: I don't think virality matters.

509
00:28:22,080 --> 00:28:24,879
Speaker 3: That may not be a popular opinion, but when I

510
00:28:24,920 --> 00:28:28,960
Speaker 3: got elected, no one in my district ever expected or.

511
00:28:29,520 --> 00:28:30,840
Speaker 2: Thought that I would go viral.

512
00:28:31,880 --> 00:28:35,240
Speaker 3: So I don't think that it matters in the sense

513
00:28:35,280 --> 00:28:37,440
Speaker 3: that I think people should say, if I'm going to

514
00:28:37,480 --> 00:28:39,640
Speaker 3: be relevant in politics, then this is what needs to

515
00:28:39,680 --> 00:28:42,920
Speaker 3: be done. We know that one of the most unpopular

516
00:28:42,960 --> 00:28:47,720
Speaker 3: people in Congress, she has gone viral a lot, and

517
00:28:48,200 --> 00:28:49,960
Speaker 3: you know, when it comes down to her being able

518
00:28:50,000 --> 00:28:52,880
Speaker 3: to raise money, She's been able to raise money from

519
00:28:53,000 --> 00:28:56,280
Speaker 3: every crevice of kind of the country because of that,

520
00:28:56,440 --> 00:28:59,240
Speaker 3: and that's kind of how she's been able to build

521
00:28:59,280 --> 00:29:00,680
Speaker 3: a platform I think.

522
00:29:00,720 --> 00:29:05,160
Speaker 1: Has huh, I don't.

523
00:29:04,960 --> 00:29:07,600
Speaker 2: Think she has, right, Like, so the things.

524
00:29:07,320 --> 00:29:10,560
Speaker 1: That really assume you're referring to Marjorie Taylor Green, I

525
00:29:10,600 --> 00:29:13,080
Speaker 1: am yeah. No, I say that because I think that

526
00:29:13,080 --> 00:29:17,440
Speaker 1: that's that's the you know, that's usually what happens if

527
00:29:17,480 --> 00:29:19,280
Speaker 1: you want to be a if you want to try

528
00:29:19,320 --> 00:29:21,320
Speaker 1: to go that road, you're not going to actually get

529
00:29:21,320 --> 00:29:22,840
Speaker 1: stuff done on the inside.

530
00:29:23,000 --> 00:29:25,200
Speaker 3: Absolutely, I think that that that is a risk that

531
00:29:25,280 --> 00:29:28,160
Speaker 3: certain people run. It depends on, like for what reasons, right, Like,

532
00:29:28,320 --> 00:29:33,719
Speaker 3: for instance, I was just applauding Lauren Underwood for an

533
00:29:33,760 --> 00:29:38,080
Speaker 3: exchange that she had this week with Christinome, and you know,

534
00:29:38,640 --> 00:29:41,880
Speaker 3: it went viral. I mean, it's kind of everywhere where

535
00:29:41,920 --> 00:29:44,240
Speaker 3: Christy Nome is kind of wavering on, you know, the

536
00:29:44,280 --> 00:29:46,240
Speaker 3: Constitution and whether.

537
00:29:46,160 --> 00:29:50,360
Speaker 2: Or not you know, she is Secretary of the.

538
00:29:50,280 --> 00:29:55,240
Speaker 3: Department of Homeland to actually like follow it right, you know.

539
00:29:55,440 --> 00:29:58,840
Speaker 3: I think that there are certain things that it absolutely

540
00:29:58,880 --> 00:30:02,120
Speaker 3: is very important that information gets out. And for some people,

541
00:30:02,800 --> 00:30:04,800
Speaker 3: if I'm being honest, like a lot of people that

542
00:30:04,920 --> 00:30:07,640
Speaker 3: may be listening in, they obviously have time to do it.

543
00:30:07,880 --> 00:30:10,600
Speaker 3: But the reality is that the average American is trying

544
00:30:10,600 --> 00:30:12,880
Speaker 3: to figure out how they're going to put food on

545
00:30:12,920 --> 00:30:16,240
Speaker 3: the table, a roof over their head, clothes on their kids' backs,

546
00:30:16,520 --> 00:30:20,440
Speaker 3: and so they only have time for a TikTok, right, Like,

547
00:30:20,520 --> 00:30:23,560
Speaker 3: they only have those little moments, And so I do

548
00:30:23,600 --> 00:30:26,360
Speaker 3: think it does bring value in that way. But as

549
00:30:26,360 --> 00:30:29,680
Speaker 3: far as being an actual member of Congress, No, I

550
00:30:29,720 --> 00:30:31,960
Speaker 3: think what matters most as a member of Congress is

551
00:30:31,960 --> 00:30:34,080
Speaker 3: that you sit down and you do things like what

552
00:30:34,120 --> 00:30:36,760
Speaker 3: we do, which is we send out weekly emails that

553
00:30:36,840 --> 00:30:39,280
Speaker 3: are newsletters that give you pictures of the meetings that

554
00:30:39,320 --> 00:30:42,800
Speaker 3: I've taken with dub text on what happened in those meetings.

555
00:30:43,120 --> 00:30:46,600
Speaker 3: You can see videos, video clips of me and committee.

556
00:30:47,240 --> 00:30:49,520
Speaker 3: You can see me in district if that's where I was,

557
00:30:49,600 --> 00:30:52,000
Speaker 3: and then we give out other information. We also send

558
00:30:52,000 --> 00:30:56,920
Speaker 3: out mailers. We also do what we call community like

559
00:30:57,600 --> 00:31:00,560
Speaker 3: office hours, so we go out and we don't make

560
00:31:00,600 --> 00:31:03,960
Speaker 3: people necessarily come in, so sometimes they're after hours, but

561
00:31:04,040 --> 00:31:06,120
Speaker 3: they are in other parts of our districts that we've

562
00:31:06,120 --> 00:31:09,120
Speaker 3: been to every single city multiple times, and we send

563
00:31:09,120 --> 00:31:12,440
Speaker 3: out text messages with information. I think that's what matters

564
00:31:12,520 --> 00:31:17,240
Speaker 3: in Congress because ultimately, regardless of how viral a member

565
00:31:17,280 --> 00:31:19,440
Speaker 3: may or may not be, at the end of the day,

566
00:31:19,480 --> 00:31:22,960
Speaker 3: you only get reelected one way, and that way is

567
00:31:23,040 --> 00:31:26,360
Speaker 3: by making sure that you are communicating with your district.

568
00:31:28,960 --> 00:31:32,000
Speaker 1: There's a reason results matter more than promises, just like

569
00:31:32,080 --> 00:31:35,160
Speaker 1: there's a reason Morgan and Morgan is America's largest injury

570
00:31:35,240 --> 00:31:38,000
Speaker 1: law firm. For the last thirty five years, they've recovered

571
00:31:38,120 --> 00:31:41,240
Speaker 1: twenty five billion dollars for more than half a million clients.

572
00:31:41,800 --> 00:31:45,400
Speaker 1: It includes cases where insurance companies offered next to nothing,

573
00:31:45,680 --> 00:31:48,480
Speaker 1: just hoping to get away with paying as little as possible.

574
00:31:48,560 --> 00:31:51,640
Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact,

575
00:31:51,720 --> 00:31:54,840
Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars,

576
00:31:55,320 --> 00:31:58,360
Speaker 1: which was a staggering forty times the amount that the

577
00:31:58,360 --> 00:32:01,680
Speaker 1: insurance company originally offered. That original offer six hundred and

578
00:32:01,680 --> 00:32:04,680
Speaker 1: fifty thousand dollars twenty six million, six hundred and fifty

579
00:32:04,720 --> 00:32:06,920
Speaker 1: thousand dollars. So with more than one thousand lawyers across

580
00:32:06,920 --> 00:32:09,360
Speaker 1: the country, they know how to deliver for everyday people.

581
00:32:09,480 --> 00:32:12,160
Speaker 1: If you're injured, you need a lawyer. You need somebody

582
00:32:12,200 --> 00:32:14,760
Speaker 1: to get your back. Check out for the People dot com,

583
00:32:14,760 --> 00:32:19,960
Speaker 1: Slash podcast or now pound law, Pound five two nine

584
00:32:20,160 --> 00:32:23,640
Speaker 1: law on your cell phone. And remember all law firms

585
00:32:23,680 --> 00:32:25,520
Speaker 1: are not the same, So check out Morgan and Morgan.

586
00:32:25,600 --> 00:32:31,320
Speaker 1: Their fee is free unless they win. I want to

587
00:32:31,320 --> 00:32:33,640
Speaker 1: go in so many directions here, including Texas politics, but

588
00:32:33,720 --> 00:32:37,840
Speaker 1: let me start with the Oversight committee. Oh guy, because no,

589
00:32:37,960 --> 00:32:40,480
Speaker 1: I mean I sit there. You know. Look, I'm one

590
00:32:40,480 --> 00:32:42,840
Speaker 1: of those journalists who always rolls their eyes when there's

591
00:32:42,840 --> 00:32:46,480
Speaker 1: an oversight committee hearing, right, because it feels like predictable

592
00:32:46,520 --> 00:32:49,880
Speaker 1: partisan talking points, right if it depending on who's you know,

593
00:32:50,000 --> 00:32:53,320
Speaker 1: you'll have one half of the questioners defending the person

594
00:32:53,440 --> 00:32:57,440
Speaker 1: being being questioned in the other half, and then it's

595
00:32:57,480 --> 00:32:59,959
Speaker 1: always like, oh, whoa a member of the same party.

596
00:33:00,000 --> 00:33:02,320
Speaker 1: He asked a tough question, right, that becomes the news

597
00:33:02,720 --> 00:33:05,760
Speaker 1: rather than let me ask you this. You've you've watched this,

598
00:33:05,920 --> 00:33:11,600
Speaker 1: now you've participated. How can we improve oversight? And would

599
00:33:11,640 --> 00:33:13,520
Speaker 1: it be better if there were no TV cameras?

600
00:33:15,000 --> 00:33:17,280
Speaker 2: It would absolutely be better if there were no cameras.

601
00:33:18,280 --> 00:33:20,320
Speaker 2: I'm sure that that will never happen.

602
00:33:21,240 --> 00:33:24,720
Speaker 1: But I know c SPAN is one of those things like, hey, look,

603
00:33:24,760 --> 00:33:27,160
Speaker 1: I'm a sunshine guy, but I also don't believe in

604
00:33:27,200 --> 00:33:29,600
Speaker 1: cameras in the courtroom. Give me audio, Give me all

605
00:33:29,600 --> 00:33:31,480
Speaker 1: the audio in the world. I'll take all the live

606
00:33:31,520 --> 00:33:34,000
Speaker 1: audio in the world. If we cameras in the courtroom

607
00:33:34,080 --> 00:33:36,760
Speaker 1: gives us too many lancidos, and that's not a good thing.

608
00:33:36,960 --> 00:33:41,080
Speaker 3: Yeah, I think though, I mean, if you've got people,

609
00:33:41,480 --> 00:33:44,280
Speaker 3: if you've got like a president that doesn't understand that

610
00:33:44,360 --> 00:33:48,120
Speaker 3: he took an oath to the Constitution like to protect

611
00:33:48,120 --> 00:33:50,280
Speaker 3: and defend it, I don't I think you're giving them

612
00:33:50,280 --> 00:33:52,280
Speaker 3: a little too much credit. Like we have people that

613
00:33:52,320 --> 00:33:55,520
Speaker 3: are elected in government and truly don't understand how it works.

614
00:33:55,920 --> 00:33:59,520
Speaker 3: And so in order for oversight to work the way

615
00:33:59,560 --> 00:34:02,680
Speaker 3: that it should, then it honestly would take people that

616
00:34:02,840 --> 00:34:05,920
Speaker 3: understand what we're supposed to be doing. For instance, today

617
00:34:06,320 --> 00:34:11,040
Speaker 3: I had to have a DOGE subcommittee hearing, and for

618
00:34:11,160 --> 00:34:14,120
Speaker 3: everybody out in the general public, when they hear DOGE,

619
00:34:14,160 --> 00:34:18,000
Speaker 3: they hear Department of Governmental Efficiency. This is all supposedly

620
00:34:18,040 --> 00:34:20,560
Speaker 3: about efficiency. The reason that we have had to fire

621
00:34:20,560 --> 00:34:24,600
Speaker 3: a historic number of you know, federal employees in such

622
00:34:24,600 --> 00:34:26,840
Speaker 3: a short amount of time is because it's more efficient.

623
00:34:27,160 --> 00:34:29,480
Speaker 3: Not true, right, like, but all of these things that

624
00:34:29,520 --> 00:34:32,200
Speaker 3: we've experienced. The reason that you know, people may not

625
00:34:32,280 --> 00:34:38,600
Speaker 3: have their life saving healthcare across you know, the ocean,

626
00:34:38,960 --> 00:34:41,280
Speaker 3: is because they had to cut off us AID because

627
00:34:41,320 --> 00:34:44,600
Speaker 3: it was efficient. Like that's what it was coined as.

628
00:34:45,080 --> 00:34:52,160
Speaker 3: And my hearing today was about trans people fencing. I

629
00:34:52,200 --> 00:34:54,880
Speaker 3: mean our argument was, please tell me what part of

630
00:34:55,040 --> 00:34:58,359
Speaker 3: like we read through the mission of DOGE as they

631
00:34:58,400 --> 00:35:01,080
Speaker 3: created the subcommittee, what does that have to do with anything?

632
00:35:01,120 --> 00:35:02,399
Speaker 2: And then they even admit it.

633
00:35:02,600 --> 00:35:06,600
Speaker 3: They were like, well, yeah, you know US fencing. We

634
00:35:06,680 --> 00:35:09,160
Speaker 3: know that we don't give you any money, you get

635
00:35:09,160 --> 00:35:09,960
Speaker 3: no federal dobts.

636
00:35:10,040 --> 00:35:10,600
Speaker 2: What are we doing?

637
00:35:10,640 --> 00:35:12,000
Speaker 1: Wait a minute, let me let me get this straight

638
00:35:12,920 --> 00:35:17,560
Speaker 1: the US fencing team, as in like the little it

639
00:35:17,600 --> 00:35:20,640
Speaker 1: was the sword fighting. Is that what we're talking about.

640
00:35:20,640 --> 00:35:24,400
Speaker 3: It's all about fencing. This was about girls fencing. And

641
00:35:24,480 --> 00:35:26,600
Speaker 3: I'm trying to think of the name of the I'll get.

642
00:35:26,480 --> 00:35:29,200
Speaker 1: You the name of the world meaning but meaning that

643
00:35:29,320 --> 00:35:31,520
Speaker 1: you know, with the work mask and all this stuff.

644
00:35:31,600 --> 00:35:36,200
Speaker 2: Yeah, yeah, okay, yes, we had to have a.

645
00:35:36,239 --> 00:35:39,279
Speaker 1: Hearing hearing on sword fighting, like I.

646
00:35:39,239 --> 00:35:43,359
Speaker 3: Mean so literally it's like, I mean, I hear you, right,

647
00:35:43,440 --> 00:35:46,040
Speaker 3: but like these people don't even understand and.

648
00:35:45,960 --> 00:35:48,080
Speaker 2: Maybe they wouldn't have a hearing on that if there

649
00:35:48,080 --> 00:35:49,480
Speaker 2: were no cameras, like maybe like.

650
00:35:49,480 --> 00:35:51,560
Speaker 1: I don't Well, that's the thing, I mean, that's that's

651
00:35:51,960 --> 00:35:53,960
Speaker 1: would be one of my contentions is that you take

652
00:35:53,960 --> 00:35:58,640
Speaker 1: away the incentive to to essentially, you know, perform for

653
00:35:58,680 --> 00:36:00,920
Speaker 1: a base political base. And in that case, there's no

654
00:36:01,000 --> 00:36:04,560
Speaker 1: doubt that's just performance, right, that's just throwing chum into

655
00:36:04,560 --> 00:36:07,400
Speaker 1: the water. Would it cut back on that, and you know,

656
00:36:08,680 --> 00:36:13,919
Speaker 1: I assume it would, But then again, you know, would

657
00:36:13,920 --> 00:36:16,799
Speaker 1: the country be even less informed about what Congress does? Right?

658
00:36:16,880 --> 00:36:18,360
Speaker 2: Yeah, that's exactly.

659
00:36:20,560 --> 00:36:24,680
Speaker 1: Let's tell let's talk about this internal I don't know

660
00:36:24,760 --> 00:36:29,360
Speaker 1: what you call it, debate this is it a generational

661
00:36:29,360 --> 00:36:34,520
Speaker 1: divide or an ideological divide inside the Democratic Party? And

662
00:36:34,640 --> 00:36:35,600
Speaker 1: are they one and the same.

663
00:36:37,239 --> 00:36:40,640
Speaker 2: I think it's more ideological. I think that.

664
00:36:42,440 --> 00:36:46,880
Speaker 3: You can find persons that absolutely believe that there needs

665
00:36:46,920 --> 00:36:51,040
Speaker 3: to be a more aggressive kind of fight in this moment,

666
00:36:51,680 --> 00:36:54,840
Speaker 3: and there are all ages, you know, And when I

667
00:36:54,880 --> 00:36:57,920
Speaker 3: think about some of you know, the strongest voices, you know,

668
00:36:57,920 --> 00:36:59,920
Speaker 3: I'm always going to say Maxine Waters is going to

669
00:37:00,239 --> 00:37:02,359
Speaker 3: like one of the first ones who's literally gonna call

670
00:37:02,400 --> 00:37:05,759
Speaker 3: out whatever. In Maxine is like eighty six eighties. I mean,

671
00:37:05,800 --> 00:37:09,680
Speaker 3: she's like up there, right, And I don't think anyone.

672
00:37:09,560 --> 00:37:11,600
Speaker 1: I don't hear a lot of progressive saying that that

673
00:37:11,640 --> 00:37:13,840
Speaker 1: either Maxine Waters or Bernie Sanders are too old to

674
00:37:13,880 --> 00:37:14,720
Speaker 1: be talking correct.

675
00:37:15,000 --> 00:37:18,480
Speaker 3: So that's why I really don't think. I think that

676
00:37:19,440 --> 00:37:22,080
Speaker 3: it's more so a mindset, and I think that they

677
00:37:22,080 --> 00:37:26,080
Speaker 3: are more so concerned about kind of those that are

678
00:37:26,160 --> 00:37:30,520
Speaker 3: stuck in tradition and stuck in this idea of the

679
00:37:30,560 --> 00:37:35,200
Speaker 3: institutions while not recognizing that the institutions are literally burning

680
00:37:35,239 --> 00:37:38,200
Speaker 3: around us right like they're like over there, you know,

681
00:37:38,320 --> 00:37:41,239
Speaker 3: they've got their water hoses. They're like Nope, Nope, it's

682
00:37:41,440 --> 00:37:42,560
Speaker 3: we're going I vacillate.

683
00:37:42,600 --> 00:37:45,000
Speaker 1: Look, you're I'm one of these people. I vacillate between hey,

684
00:37:45,120 --> 00:37:50,120
Speaker 1: let's let's save the institution versus now, let's rebuild the institution,

685
00:37:50,480 --> 00:37:52,399
Speaker 1: meaning like, you know, you got to save what's left,

686
00:37:52,440 --> 00:37:54,640
Speaker 1: you got to salvage what you have, right. And I

687
00:37:54,719 --> 00:37:57,960
Speaker 1: understand that's probably an older mindset, right, one that says, oh,

688
00:37:58,040 --> 00:38:00,520
Speaker 1: I'm back in my day, I remember this all came together,

689
00:38:00,920 --> 00:38:04,880
Speaker 1: versus those that are newer to the situation, going, what

690
00:38:04,920 --> 00:38:07,439
Speaker 1: are you talking about? Like that didn't work, That's why

691
00:38:07,480 --> 00:38:08,680
Speaker 1: we're here, right.

692
00:38:09,360 --> 00:38:12,680
Speaker 3: So I think it's more so our issue is more

693
00:38:12,760 --> 00:38:16,120
Speaker 3: so how do you save the institution and what is

694
00:38:16,160 --> 00:38:17,160
Speaker 3: worth salvaging?

695
00:38:17,480 --> 00:38:17,719
Speaker 2: Right?

696
00:38:18,080 --> 00:38:21,799
Speaker 3: Because when you think about like a house burning, like

697
00:38:21,880 --> 00:38:23,640
Speaker 3: if there's a child or a loved one in there,

698
00:38:23,680 --> 00:38:25,560
Speaker 3: you're going to go and like, let me go get

699
00:38:25,560 --> 00:38:28,920
Speaker 3: the kid, right, like forget the clothes, forget the pictures.

700
00:38:29,280 --> 00:38:31,279
Speaker 3: And I think that that's where we are. It's like,

701
00:38:31,800 --> 00:38:35,200
Speaker 3: what parts of this are worth saving? Because there are

702
00:38:35,200 --> 00:38:37,879
Speaker 3: parts of this that failed us in the first place,

703
00:38:37,920 --> 00:38:40,200
Speaker 3: and frankly some of them that never worked anyway, like

704
00:38:40,360 --> 00:38:42,759
Speaker 3: never worked in a way that they worked for all

705
00:38:42,800 --> 00:38:45,680
Speaker 3: of us. But I think the biggest debate is like

706
00:38:45,719 --> 00:38:47,400
Speaker 3: how do you do that right? I think that that

707
00:38:47,560 --> 00:38:50,319
Speaker 3: is why there's the discussions about David Hogg and his

708
00:38:50,400 --> 00:38:52,600
Speaker 3: approach to it, And it's like do you go after

709
00:38:53,080 --> 00:38:55,360
Speaker 3: you know, safe Democrats and decide that you're going to

710
00:38:55,360 --> 00:38:57,719
Speaker 3: primary them or do you just say never mind, like

711
00:38:57,760 --> 00:39:00,440
Speaker 3: a Democrat is a Democrat, go after the Republican because

712
00:39:00,480 --> 00:39:03,760
Speaker 3: they are the ones that are the arsonists of this story.

713
00:39:03,840 --> 00:39:07,080
Speaker 3: I think that like it's about how you fight that

714
00:39:07,200 --> 00:39:10,320
Speaker 3: we kind of differ, or you know, you can look,

715
00:39:10,880 --> 00:39:13,360
Speaker 3: the State of the Union is really the best example

716
00:39:13,920 --> 00:39:18,080
Speaker 3: of like how everyone sees this moment differently, right, Like

717
00:39:18,120 --> 00:39:20,080
Speaker 3: it's like we went out, we campaigned, we were like

718
00:39:20,239 --> 00:39:23,600
Speaker 3: this fool is a dictator and he's going to try

719
00:39:23,640 --> 00:39:25,640
Speaker 3: to tear everything down. And that was before thee hundred

720
00:39:25,719 --> 00:39:28,239
Speaker 3: days when we literally have receipts of him doing it right,

721
00:39:28,640 --> 00:39:30,239
Speaker 3: And he's up there and he's given a State of

722
00:39:30,280 --> 00:39:33,319
Speaker 3: the Union, and who is it that is most disruptive

723
00:39:34,360 --> 00:39:38,040
Speaker 3: a man in his seventies. It's Al Green, someone who

724
00:39:38,440 --> 00:39:43,200
Speaker 3: is of the civil rights error and believes in civil disobedience, and.

725
00:39:43,360 --> 00:39:45,520
Speaker 1: This hole as the late John Lewis used to call

726
00:39:45,560 --> 00:39:45,919
Speaker 1: it good.

727
00:39:45,880 --> 00:39:51,200
Speaker 3: Trouble exactly, and he believes in dealing with this completely differently.

728
00:39:51,280 --> 00:39:53,719
Speaker 2: And then you have those that sat there and didn't

729
00:39:53,719 --> 00:39:54,120
Speaker 2: do anything.

730
00:39:54,160 --> 00:39:55,960
Speaker 3: Then you had those that have the signs that everybody

731
00:39:55,960 --> 00:39:58,399
Speaker 3: got drove about, and then you had those of us

732
00:39:58,440 --> 00:40:00,799
Speaker 3: that decided that we were going to walk out right.

733
00:40:01,239 --> 00:40:03,400
Speaker 3: I think that that's the issue. I think that in

734
00:40:03,440 --> 00:40:07,000
Speaker 3: our hearts, none of us like what's going on. It's

735
00:40:07,040 --> 00:40:09,320
Speaker 3: just a matter of we cannot get on a similar

736
00:40:09,360 --> 00:40:13,239
Speaker 3: page of like what does the response look like? What

737
00:40:13,320 --> 00:40:15,799
Speaker 3: does the fight look look like? And I think that's

738
00:40:15,840 --> 00:40:18,600
Speaker 3: really our bigger issue. And I think that some people

739
00:40:18,640 --> 00:40:21,920
Speaker 3: believe if you've been in the institution too long, that

740
00:40:22,000 --> 00:40:25,480
Speaker 3: there's no way you were willing to fight back against it.

741
00:40:26,320 --> 00:40:30,000
Speaker 1: What's your assessment of how the Democrats got into the situation.

742
00:40:31,520 --> 00:40:35,800
Speaker 3: I think it's been being too nice to be perfectly honest.

743
00:40:35,800 --> 00:40:38,200
Speaker 3: I mean, I remember when I was in the state House,

744
00:40:38,360 --> 00:40:41,600
Speaker 3: and you know, we fled Texas and we went to

745
00:40:41,719 --> 00:40:43,800
Speaker 3: DC and we were trying to kind of ring the

746
00:40:43,840 --> 00:40:48,719
Speaker 3: alarms about these horrific voter suppression bills that the Heritage

747
00:40:48,719 --> 00:40:53,080
Speaker 3: Foundation dropped into Texas dropped into Georgia dropped into Florida

748
00:40:53,200 --> 00:40:56,680
Speaker 3: like they were being very strategic about making sure that

749
00:40:56,760 --> 00:40:59,080
Speaker 3: they could minimize certain voices.

750
00:40:59,360 --> 00:41:03,120
Speaker 2: And so, you know what, I wish that.

751
00:41:03,560 --> 00:41:06,680
Speaker 3: The Democrats in the Senate would have pushed half as

752
00:41:06,760 --> 00:41:09,480
Speaker 3: hard and said, you know what, when it comes to

753
00:41:09,520 --> 00:41:13,480
Speaker 3: something foundational such as voting rights, which we are basically

754
00:41:13,600 --> 00:41:17,520
Speaker 3: taking our authority from the Constitution, there's a car about

755
00:41:17,600 --> 00:41:19,640
Speaker 3: for that right, Like they have come up with carveouts

756
00:41:19,680 --> 00:41:21,640
Speaker 3: for what they wanted to do, and I think that

757
00:41:21,640 --> 00:41:23,560
Speaker 3: that could have prevented some of it. It's the same

758
00:41:23,600 --> 00:41:27,560
Speaker 3: thing as relates to the reauthorization of the Voting Rights Acts,

759
00:41:27,600 --> 00:41:31,440
Speaker 3: like they now have gone in and decimated so many

760
00:41:31,480 --> 00:41:34,040
Speaker 3: of these districts because they're like, oh well, it's like

761
00:41:34,120 --> 00:41:36,839
Speaker 3: district's gone wild, right, And when you look at our

762
00:41:36,880 --> 00:41:40,880
Speaker 3: margins in the House, we lost by three seats.

763
00:41:41,120 --> 00:41:42,920
Speaker 1: Oh you lost by redistrict thing. You didn't lose it.

764
00:41:43,360 --> 00:41:46,080
Speaker 1: You lost by the Florida and the North Carolina remaps

765
00:41:46,120 --> 00:41:49,279
Speaker 1: and New York and the New York and the inability

766
00:41:49,320 --> 00:41:51,120
Speaker 1: to do the remap in New York. No, this was

767
00:41:51,160 --> 00:41:52,280
Speaker 1: all done in the courtroom.

768
00:41:52,400 --> 00:41:57,359
Speaker 3: No, correct, correct, But they had the legislation and they

769
00:41:57,360 --> 00:42:00,160
Speaker 3: refused to do a car about So like, if if

770
00:42:00,160 --> 00:42:03,319
Speaker 3: we're not going to fight for our foundational things, then

771
00:42:03,440 --> 00:42:05,480
Speaker 3: I get why people are like, I'm gonna sit at

772
00:42:05,480 --> 00:42:07,959
Speaker 3: home and I'm gonna sit on the couch, because yeah,

773
00:42:08,080 --> 00:42:11,240
Speaker 3: they may do bad, but y'all might doing nothing anyway.

774
00:42:11,560 --> 00:42:13,480
Speaker 1: Right, So let me ask this, why do you think

775
00:42:13,520 --> 00:42:17,960
Speaker 1: Trump won? And why do you think he won with

776
00:42:18,000 --> 00:42:21,600
Speaker 1: some voters that were on the Blue team at East

777
00:42:21,640 --> 00:42:24,160
Speaker 1: in twenty twelve and twenty twenty, I'm not so sure

778
00:42:24,160 --> 00:42:25,680
Speaker 1: they were there in twenty sixteen. I think they didn't

779
00:42:25,680 --> 00:42:26,080
Speaker 1: show up.

780
00:42:26,280 --> 00:42:28,600
Speaker 2: I'm going to say that this was a ViBe's election,

781
00:42:28,960 --> 00:42:30,239
Speaker 2: and I think.

782
00:42:30,160 --> 00:42:32,960
Speaker 1: I hate that expression. No offense, I don't know, but

783
00:42:33,040 --> 00:42:36,440
Speaker 1: I know vibes. This is the cranky old man in me.

784
00:42:36,520 --> 00:42:39,400
Speaker 1: You know, my gen exer. You're almost you're you're like

785
00:42:39,640 --> 00:42:41,600
Speaker 1: you you're millennial technical.

786
00:42:41,680 --> 00:42:45,120
Speaker 2: I am barely, but you're.

787
00:42:44,320 --> 00:42:48,360
Speaker 1: A little more gen x in probably how you lived culturally.

788
00:42:48,560 --> 00:42:50,359
Speaker 2: Yes, So what I will say is this.

789
00:42:51,400 --> 00:42:53,399
Speaker 3: The reason that I say that is because how many

790
00:42:53,480 --> 00:42:56,600
Speaker 3: interviews have you seen where you ask people, well, why

791
00:42:56,600 --> 00:42:57,560
Speaker 3: did you vote for Trump?

792
00:42:58,640 --> 00:43:01,680
Speaker 2: They can't give you a policy, so we.

793
00:43:01,640 --> 00:43:03,640
Speaker 1: Know I didn't. It always felt to me, it was

794
00:43:03,680 --> 00:43:04,920
Speaker 1: a vote against, not a vote for.

795
00:43:06,480 --> 00:43:07,560
Speaker 2: I don't know about that.

796
00:43:07,719 --> 00:43:09,759
Speaker 3: I definitely felt like as far as the people that

797
00:43:09,840 --> 00:43:12,960
Speaker 3: were willing to talk, I felt like it was absolutely

798
00:43:13,160 --> 00:43:18,760
Speaker 3: a vote for him, And if they talked about policies,

799
00:43:18,800 --> 00:43:22,279
Speaker 3: it still wasn't really policies. Like I remember being on

800
00:43:22,360 --> 00:43:27,160
Speaker 3: the road and talking to various men, mostly black men,

801
00:43:27,400 --> 00:43:29,080
Speaker 3: and I'd say what's up and they'd be like, well,

802
00:43:29,120 --> 00:43:33,319
Speaker 3: we feel like the Democratic Party isn't masculating us. And

803
00:43:33,360 --> 00:43:37,040
Speaker 3: then I'd say, how so, right, Like they still weren't

804
00:43:37,080 --> 00:43:40,640
Speaker 3: talking about policy, right, Like they weren't like it's not

805
00:43:40,680 --> 00:43:43,680
Speaker 3: like they answered with like policy per se. The only

806
00:43:43,719 --> 00:43:46,239
Speaker 3: thing that they would say about quote unquote policy was

807
00:43:46,280 --> 00:43:49,560
Speaker 3: about trans vote right, And I would explain to them

808
00:43:49,560 --> 00:43:52,480
Speaker 3: that it's a destruction because I remember being at a

809
00:43:52,520 --> 00:43:55,759
Speaker 3: barbershop in Philly and talking to a guy and he

810
00:43:55,880 --> 00:43:58,160
Speaker 3: had this beautiful little daughter that was running around, and

811
00:43:58,200 --> 00:44:00,759
Speaker 3: I was like, well, I mean, I hear you, and

812
00:44:00,800 --> 00:44:02,640
Speaker 3: I'm not going to ask you to change how you

813
00:44:02,680 --> 00:44:04,520
Speaker 3: believe about whatever you believe in that kind of stuff,

814
00:44:04,520 --> 00:44:07,719
Speaker 3: But like, tell me, is that going to better your

815
00:44:07,760 --> 00:44:11,400
Speaker 3: ability to say own your own barbershop one day? Is

816
00:44:11,440 --> 00:44:13,440
Speaker 3: that going to better your ability to take care of

817
00:44:13,520 --> 00:44:16,279
Speaker 3: your child. And frankly, if you are concerned about who's

818
00:44:16,280 --> 00:44:18,920
Speaker 3: playing sports, can you tell me which trans children go

819
00:44:18,960 --> 00:44:21,960
Speaker 3: to school with your daughter right now? And like he

820
00:44:22,080 --> 00:44:23,360
Speaker 3: was like, I mean, I'm a vote for her, but

821
00:44:23,400 --> 00:44:24,640
Speaker 3: those are the only you know what I mean? But

822
00:44:24,680 --> 00:44:26,000
Speaker 3: it was kind of like that, And so.

823
00:44:26,800 --> 00:44:31,279
Speaker 1: How big do you think this was there? How big

824
00:44:31,360 --> 00:44:35,760
Speaker 1: do you think this black man voter issue with Kamala Harris?

825
00:44:35,800 --> 00:44:38,080
Speaker 1: How much of that do you think was specific to

826
00:44:38,239 --> 00:44:40,840
Speaker 1: hesitation of voting a black man hesitating to vote for

827
00:44:40,840 --> 00:44:41,399
Speaker 1: a black woman.

828
00:44:43,960 --> 00:44:47,839
Speaker 3: I will tell you what I was told, because I

829
00:44:47,880 --> 00:44:50,560
Speaker 3: did think that I definitely think that there was misogyny

830
00:44:50,600 --> 00:44:53,800
Speaker 3: in this across the board, no matter what color male.

831
00:44:53,719 --> 00:44:54,480
Speaker 2: You're talking about.

832
00:44:54,520 --> 00:44:56,880
Speaker 3: I just think that you be an error to not

833
00:44:57,760 --> 00:45:01,560
Speaker 3: like know that there was misogyny that existed. I will

834
00:45:01,600 --> 00:45:05,759
Speaker 3: say this though, the very first polling briefing that we

835
00:45:05,840 --> 00:45:10,160
Speaker 3: had with a polster that I trust a lot, he

836
00:45:10,239 --> 00:45:13,279
Speaker 3: briefed the Black Caucus and he said that one of

837
00:45:13,280 --> 00:45:16,040
Speaker 3: the issues that he was running into with black and

838
00:45:16,160 --> 00:45:18,920
Speaker 3: brown communities was that she had been a prosecutor.

839
00:45:19,280 --> 00:45:22,360
Speaker 1: And this was more of a resume thing that there.

840
00:45:22,239 --> 00:45:25,920
Speaker 3: Was, there was definitely some resume stuff that this allowed

841
00:45:25,960 --> 00:45:28,560
Speaker 3: her from being able to build the type of rapport

842
00:45:29,080 --> 00:45:34,040
Speaker 3: of trust within these marginalized communities that historically have been targeted.

843
00:45:34,719 --> 00:45:36,880
Speaker 1: But this was a huge problem in her own campaign

844
00:45:36,920 --> 00:45:39,720
Speaker 1: for president during the primaries, which is why she pivoted.

845
00:45:40,400 --> 00:45:42,040
Speaker 1: She was trying to get out of that because that

846
00:45:42,200 --> 00:45:45,879
Speaker 1: was being used by other Democratic campaigns to say, hey,

847
00:45:46,280 --> 00:45:48,840
Speaker 1: you know, she was a prosecutor. She was putting black

848
00:45:48,880 --> 00:45:51,879
Speaker 1: men in jail. And the thing is she was right,

849
00:45:51,920 --> 00:45:54,200
Speaker 1: which is why she went down the busing road with

850
00:45:54,360 --> 00:45:56,440
Speaker 1: you know, she had to go to some places that

851
00:45:56,480 --> 00:45:58,600
Speaker 1: she probably wouldn't have normally gone, but she felt she

852
00:45:58,680 --> 00:46:00,440
Speaker 1: had to because she was trying to fix her own

853
00:46:00,880 --> 00:46:01,840
Speaker 1: biography issues.

854
00:46:03,080 --> 00:46:05,640
Speaker 3: So literally early numbers that we were given, and I

855
00:46:05,760 --> 00:46:07,319
Speaker 3: promise you, I really do trust this.

856
00:46:07,400 --> 00:46:08,960
Speaker 2: Polster said that.

857
00:46:09,160 --> 00:46:12,040
Speaker 3: So if you think back to my DNC speech, one

858
00:46:12,080 --> 00:46:14,960
Speaker 3: of the things that they actually the guidance that I

859
00:46:15,040 --> 00:46:18,600
Speaker 3: was given was to actually lean into her being a prosecutor.

860
00:46:18,840 --> 00:46:23,720
Speaker 2: And I'm like, oh, hell, I'm like that is not helpful.

861
00:46:23,400 --> 00:46:28,200
Speaker 3: Right, And so when I did it, I did a

862
00:46:28,200 --> 00:46:30,560
Speaker 3: bit of a swing on it. Right, As a criminal

863
00:46:30,560 --> 00:46:33,520
Speaker 3: defense attorney and I explained, like, this is the kind

864
00:46:33,520 --> 00:46:36,000
Speaker 3: of prosecutor all would have won it, right, Like, so

865
00:46:36,080 --> 00:46:38,480
Speaker 3: I built it that way. But I did talk to

866
00:46:38,760 --> 00:46:43,120
Speaker 3: some people, even a prominent rapper, who was like, I'm

867
00:46:43,160 --> 00:46:47,200
Speaker 3: going to support her, but I don't feel comfortable openly

868
00:46:47,320 --> 00:46:49,160
Speaker 3: endorsing her, but I'm going to vote for her. And

869
00:46:49,160 --> 00:46:51,960
Speaker 3: I'm like why, And so he told me that one

870
00:46:52,000 --> 00:46:54,759
Speaker 3: of the issues was just kind of like the prosecutor thing,

871
00:46:54,760 --> 00:46:56,960
Speaker 3: and I said, and I made sure to talk about

872
00:46:57,000 --> 00:46:59,880
Speaker 3: the things that we have been told move the needle

873
00:47:00,080 --> 00:47:03,480
Speaker 3: with these groups, right, like knowing that she had like

874
00:47:03,560 --> 00:47:06,160
Speaker 3: second chance programs and things like that, like letting them

875
00:47:06,200 --> 00:47:07,799
Speaker 3: know that she was one of the good ones, like

876
00:47:08,080 --> 00:47:10,120
Speaker 3: one of the ones that we would have wanted if

877
00:47:10,160 --> 00:47:12,640
Speaker 3: it was Breonna Taylor. That I mean, like that's the

878
00:47:12,760 --> 00:47:15,759
Speaker 3: kind that you want, right. So we were trying to

879
00:47:15,760 --> 00:47:18,000
Speaker 3: do that. But I think, and it goes back to

880
00:47:18,040 --> 00:47:21,879
Speaker 3: kind of the Trump phenomenon. I think that what had

881
00:47:21,920 --> 00:47:25,160
Speaker 3: been baked in about the vice president was that she

882
00:47:25,440 --> 00:47:28,600
Speaker 3: was a prosecutor. They did not know very much beyond that,

883
00:47:29,120 --> 00:47:31,120
Speaker 3: And when you're talking about one hundred and seven days

884
00:47:31,200 --> 00:47:33,600
Speaker 3: of a campaign, it's kind of hard to get that

885
00:47:33,640 --> 00:47:34,960
Speaker 3: across in actually.

886
00:47:34,560 --> 00:47:36,680
Speaker 1: A classic case where more time would have helped at

887
00:47:36,760 --> 00:47:37,680
Speaker 1: least on that issue.

888
00:47:37,760 --> 00:47:42,400
Speaker 3: Absolutely, I absolutely believe that, especially since you want people

889
00:47:42,520 --> 00:47:45,000
Speaker 3: to not fear you, but you want them to like

890
00:47:45,800 --> 00:47:48,600
Speaker 3: trust you. That's what it comes down to, is like trust.

891
00:47:49,000 --> 00:47:50,920
Speaker 3: And you know, it's like you can point out how

892
00:47:50,920 --> 00:47:54,280
Speaker 3: many lives Trump does or whatever. One of the reasons

893
00:47:54,280 --> 00:47:56,640
Speaker 3: I think that he got away with trying to paint

894
00:47:56,719 --> 00:47:59,840
Speaker 3: us as liars is where like this dude is not

895
00:48:00,120 --> 00:48:03,960
Speaker 3: a businessman, but you got to think about his profile

896
00:48:04,040 --> 00:48:05,799
Speaker 3: and you have to think about who he is, and

897
00:48:05,840 --> 00:48:09,520
Speaker 3: this is very specific to him. You have traveled the country,

898
00:48:09,880 --> 00:48:13,080
Speaker 3: potentially the world and seen buildings with the name Trump

899
00:48:13,120 --> 00:48:15,839
Speaker 3: on the side of them, and then you don't get

900
00:48:16,000 --> 00:48:19,759
Speaker 3: enough FaceTime with somebody to explain, no, his name is

901
00:48:19,760 --> 00:48:21,600
Speaker 3: on the building, but he don't own the building. Like

902
00:48:21,640 --> 00:48:24,080
Speaker 3: you don't like get to get into the minutia on that.

903
00:48:24,680 --> 00:48:28,200
Speaker 3: So he had been built up as this amazing smart

904
00:48:28,400 --> 00:48:31,480
Speaker 3: businessman who had all this money instead of like, no,

905
00:48:31,800 --> 00:48:35,880
Speaker 3: he inherited money when he was born, and frankly, he

906
00:48:35,920 --> 00:48:37,719
Speaker 3: would have had more money if he just sat on

907
00:48:37,760 --> 00:48:39,880
Speaker 3: that money and didn't do anything because.

908
00:48:39,600 --> 00:48:42,480
Speaker 1: He do you know how hard.

909
00:48:43,239 --> 00:48:45,560
Speaker 2: Yeah, yeah, somebody else beat the house.

910
00:48:45,640 --> 00:48:51,439
Speaker 3: I know, it's crazy, it's but still, like, how many

911
00:48:51,440 --> 00:48:53,520
Speaker 3: people know all of these details?

912
00:48:53,600 --> 00:48:53,839
Speaker 2: Right?

913
00:48:53,880 --> 00:48:58,319
Speaker 3: And so that's what. So there was this longstanding kind

914
00:48:58,400 --> 00:49:05,000
Speaker 3: of idea of Trump as this successful, smart, hard businessman,

915
00:49:05,600 --> 00:49:09,160
Speaker 3: and then for the most part, what people knew about

916
00:49:09,200 --> 00:49:11,040
Speaker 3: the vice president is that she had been a prosecutor.

917
00:49:11,120 --> 00:49:13,160
Speaker 3: She had been a prosecutor on the state level, she

918
00:49:13,200 --> 00:49:15,840
Speaker 3: had been the attorney general. Like they only kind of

919
00:49:15,880 --> 00:49:19,719
Speaker 3: knew her in that way, because I remember struggling with

920
00:49:20,160 --> 00:49:22,359
Speaker 3: it way before we were figuring out who was gonna

921
00:49:22,400 --> 00:49:25,440
Speaker 3: run for what or whatever. Sure was this issue or

922
00:49:25,440 --> 00:49:27,600
Speaker 3: this idea of people that said, well, I voted for

923
00:49:27,800 --> 00:49:30,160
Speaker 3: I voted for Kamala, right, Like they went and voted

924
00:49:30,200 --> 00:49:33,480
Speaker 3: for the ticket, right, voted for Joe and Kamala, But

925
00:49:33,520 --> 00:49:35,560
Speaker 3: they really went because they wanted to vote for her,

926
00:49:36,000 --> 00:49:39,520
Speaker 3: and they were saying things like, well, we haven't seen her, right,

927
00:49:39,640 --> 00:49:42,719
Speaker 3: And so then it's like vice presidents are really not

928
00:49:42,960 --> 00:49:45,440
Speaker 3: like that prominent, like that's not their job. They are

929
00:49:45,480 --> 00:49:48,680
Speaker 3: supporting cast members, right. So I think we just really

930
00:49:48,719 --> 00:49:52,600
Speaker 3: got and it wasn't until she was stepping in as

931
00:49:52,680 --> 00:49:56,960
Speaker 3: the actual nominee that she could then go ahead and

932
00:49:57,239 --> 00:50:01,120
Speaker 3: direct her way and she just didn't have enough.

933
00:50:00,920 --> 00:50:01,520
Speaker 2: Time in my life.

934
00:50:01,520 --> 00:50:03,120
Speaker 1: Did she Do you feel like she should get another

935
00:50:03,120 --> 00:50:03,600
Speaker 1: shot at this?

936
00:50:04,960 --> 00:50:08,600
Speaker 3: I think, I mean, I think that she should do

937
00:50:08,640 --> 00:50:13,040
Speaker 3: what she feels like is best. You know, one thing

938
00:50:13,080 --> 00:50:16,319
Speaker 3: that people don't really evaluate is the toll that all

939
00:50:16,360 --> 00:50:17,960
Speaker 3: of this takes on not only.

940
00:50:17,760 --> 00:50:18,640
Speaker 2: You but your family.

941
00:50:19,600 --> 00:50:22,919
Speaker 3: And I think, you know, there were those that never

942
00:50:23,000 --> 00:50:26,080
Speaker 3: thought that Joe Biden could win, and the third time.

943
00:50:25,920 --> 00:50:27,480
Speaker 2: Was the charm.

944
00:50:27,719 --> 00:50:32,760
Speaker 3: I can't say what will happen, And honestly, I personally

945
00:50:32,800 --> 00:50:34,800
Speaker 3: feel like the only reason we ended up with Barack

946
00:50:34,840 --> 00:50:39,560
Speaker 3: Obama was because everything had fallen apart, and so depending

947
00:50:39,600 --> 00:50:43,839
Speaker 3: on how desperate people are, I think that it may

948
00:50:44,320 --> 00:50:52,160
Speaker 3: absolutely propel You're not so likely, candidate. I think that people,

949
00:50:52,680 --> 00:50:56,960
Speaker 3: potentially even misogynists, would like hold their nose and be like,

950
00:50:57,120 --> 00:50:57,680
Speaker 3: forget it.

951
00:50:59,200 --> 00:51:01,799
Speaker 1: Do you hate hangover? We'll say goodbye to hangovers. Out

952
00:51:01,840 --> 00:51:04,399
Speaker 1: of Office gives you the social buzz without the next

953
00:51:04,440 --> 00:51:06,759
Speaker 1: day regret. Their best selling out of Office gummies were

954
00:51:06,760 --> 00:51:09,680
Speaker 1: designed to provide a mild, relaxing buzz, boost your mood

955
00:51:09,760 --> 00:51:13,319
Speaker 1: and enhance creativity and relaxation. With five different strengths, you

956
00:51:13,360 --> 00:51:15,560
Speaker 1: can tailor the dose to fit your vibe, from a

957
00:51:15,640 --> 00:51:19,720
Speaker 1: gentle one point five milligram micro doose to their newest

958
00:51:19,800 --> 00:51:23,800
Speaker 1: fifteen milligram gummy for a more elevated experience. Their THHC

959
00:51:23,960 --> 00:51:27,320
Speaker 1: beverages and gummies are a modern, mindful alternative to a

960
00:51:27,360 --> 00:51:29,920
Speaker 1: glass of wine or a cocktail. And I'll tell you this,

961
00:51:30,120 --> 00:51:33,080
Speaker 1: I've given up booze. I don't like the hangovers. I

962
00:51:33,320 --> 00:51:36,719
Speaker 1: prefer the gummy experience. Soul is a wellness brand that

963
00:51:36,760 --> 00:51:40,239
Speaker 1: believes feeling good should be fun and easy. Soul specializes

964
00:51:40,280 --> 00:51:43,960
Speaker 1: in delicious HEMP derived THHD and CBD products, all designed

965
00:51:43,960 --> 00:51:47,040
Speaker 1: to boost your mood and simply help you unwine. So

966
00:51:47,080 --> 00:51:49,319
Speaker 1: if you struggle to switch off at night, Soul also

967
00:51:49,360 --> 00:51:52,400
Speaker 1: has a variety of products specifically designed to just simply

968
00:51:52,400 --> 00:51:54,839
Speaker 1: help you get a better night's sleep, including their top

969
00:51:54,920 --> 00:51:59,040
Speaker 1: selling sleepy gummies. It's a fan favorite for deep restorative sleep.

970
00:51:59,280 --> 00:52:01,400
Speaker 1: So bring on the gu good vibes and treat yourself

971
00:52:01,400 --> 00:52:04,920
Speaker 1: to Soul today. Right now, Soul is offering my audience

972
00:52:05,040 --> 00:52:07,960
Speaker 1: thirty percent off your entire order, So go to get

973
00:52:08,000 --> 00:52:11,760
Speaker 1: sold dot com use the promo code todcast. Don't forget

974
00:52:11,760 --> 00:52:15,680
Speaker 1: that code. That's get sold dot com promo code toodcast

975
00:52:15,840 --> 00:52:21,640
Speaker 1: for thirty percent off. There was a lot of those,

976
00:52:21,760 --> 00:52:23,759
Speaker 1: you know, there were great stories about that that you know,

977
00:52:25,080 --> 00:52:27,160
Speaker 1: you'd hear these stories about Barack Obama's two thousand and

978
00:52:27,200 --> 00:52:30,520
Speaker 1: eight campaign. He'd go they'd have canvassers in western Pennsylvania

979
00:52:31,360 --> 00:52:34,320
Speaker 1: and they'd go to these doors that today are probably

980
00:52:34,360 --> 00:52:37,000
Speaker 1: mega voters. But in O eight they voted for Obama.

981
00:52:37,400 --> 00:52:41,120
Speaker 1: And they refer to Obama as the African American candidate,

982
00:52:41,200 --> 00:52:45,319
Speaker 1: but they didn't use African American and or black. And

983
00:52:46,960 --> 00:52:48,719
Speaker 1: it gets to the point you just made, which is

984
00:52:49,880 --> 00:52:53,120
Speaker 1: desperation sometimes gets you know, this is what I You know,

985
00:52:53,560 --> 00:52:57,520
Speaker 1: trumpet Obama have this in common, right, they there's a

986
00:52:57,560 --> 00:53:01,320
Speaker 1: hand there's a slice of voters who wanted have changed. Look,

987
00:53:01,440 --> 00:53:03,640
Speaker 1: I go back. This is why I think ultimately Barack

988
00:53:03,640 --> 00:53:07,320
Speaker 1: Obama made a mistake endorsing Hillary Clinton. No offense to

989
00:53:07,360 --> 00:53:10,520
Speaker 1: Hillary Clinton. She certainly had earned a lot of things,

990
00:53:10,719 --> 00:53:12,400
Speaker 1: and if this were at a job interview, she was

991
00:53:12,440 --> 00:53:14,680
Speaker 1: the most qualified person for the job. But you and

992
00:53:14,719 --> 00:53:16,640
Speaker 1: I both know it's not a job interview, right, It's

993
00:53:16,640 --> 00:53:20,160
Speaker 1: a different type of deal. And I would argue that

994
00:53:20,200 --> 00:53:23,520
Speaker 1: the Democratic Party picked Obama over Clinton because they didn't

995
00:53:23,560 --> 00:53:26,560
Speaker 1: want the establishment in charge, and that when he went

996
00:53:26,719 --> 00:53:30,000
Speaker 1: establishment that that may have been a fork in the

997
00:53:30,040 --> 00:53:32,640
Speaker 1: road that if you now go back in time, that

998
00:53:32,719 --> 00:53:34,880
Speaker 1: maybe he should have taken a different a different path.

999
00:53:35,440 --> 00:53:39,360
Speaker 3: Look, you were making an argument for the situation that

1000
00:53:39,440 --> 00:53:40,719
Speaker 3: we find ourselves in right.

1001
00:53:40,640 --> 00:53:43,960
Speaker 1: Now, right No, which is why I knew. I definitely

1002
00:53:44,000 --> 00:53:45,759
Speaker 1: think new is going to be. I always say this,

1003
00:53:47,160 --> 00:53:51,560
Speaker 1: if you look at successful Democratic candidates for president, it's

1004
00:53:51,640 --> 00:53:57,319
Speaker 1: usually they're the new candidate there, you know, and they

1005
00:53:57,320 --> 00:53:59,839
Speaker 1: were not seen as the front runner at the start.

1006
00:54:00,080 --> 00:54:01,879
Speaker 1: Bill Clinton was that way, Jimmy Carter was that way,

1007
00:54:01,920 --> 00:54:05,800
Speaker 1: Barack Obama's that way. There is you know, new and electable,

1008
00:54:06,360 --> 00:54:10,040
Speaker 1: and it's subjective what electable is. But that's and the

1009
00:54:10,040 --> 00:54:12,239
Speaker 1: thing that I can't figure out is who's new because

1010
00:54:12,280 --> 00:54:14,960
Speaker 1: every name we're going to mention is not new because

1011
00:54:15,040 --> 00:54:17,440
Speaker 1: we're mentioning their names, right, it is going to be.

1012
00:54:17,800 --> 00:54:19,719
Speaker 1: You know, people will mention Mark Cuban. I bet you

1013
00:54:19,880 --> 00:54:21,440
Speaker 1: know Mark Cuban a little bit better than most people,

1014
00:54:21,480 --> 00:54:26,239
Speaker 1: given he's a Dallas guy. Yeah, you know, I don't

1015
00:54:26,239 --> 00:54:28,680
Speaker 1: know if we if it's smart to go with sort

1016
00:54:28,719 --> 00:54:31,360
Speaker 1: of Trump light, but you know, who knows.

1017
00:54:32,120 --> 00:54:35,000
Speaker 3: I have no idea, but I do think that we

1018
00:54:35,040 --> 00:54:37,640
Speaker 3: won't truly have an idea of which way is going

1019
00:54:37,680 --> 00:54:42,240
Speaker 3: to go until we really get closer to the election,

1020
00:54:42,560 --> 00:54:46,480
Speaker 3: because I do believe the desperation is going to set in.

1021
00:54:46,560 --> 00:54:48,120
Speaker 2: I mean, we will find out.

1022
00:54:48,239 --> 00:54:49,680
Speaker 3: You know, there are those that are like, oh, we

1023
00:54:49,800 --> 00:54:51,319
Speaker 3: just got to take the house back, and you and

1024
00:54:51,360 --> 00:54:54,160
Speaker 3: I have already discussed how these lines are not set

1025
00:54:54,239 --> 00:54:56,880
Speaker 3: up for us. I mean, we are like an uphill

1026
00:54:56,920 --> 00:54:59,479
Speaker 3: climb in a lot of these races that we really

1027
00:54:59,480 --> 00:55:02,200
Speaker 3: should not be in. But even still, I think we

1028
00:55:02,239 --> 00:55:04,520
Speaker 3: are going to defy the odds. The question is that

1029
00:55:04,520 --> 00:55:06,600
Speaker 3: we're going to defy the odds and have you know

1030
00:55:07,120 --> 00:55:09,960
Speaker 3: three seats are we on or are we going to.

1031
00:55:10,000 --> 00:55:10,480
Speaker 2: Buy the odds?

1032
00:55:10,600 --> 00:55:11,840
Speaker 1: Can we have a working majority?

1033
00:55:12,400 --> 00:55:13,200
Speaker 2: Yeah, we're going to.

1034
00:55:13,200 --> 00:55:15,520
Speaker 3: Have just a ton of people, and I think that

1035
00:55:15,520 --> 00:55:19,000
Speaker 3: that will be our first and then the Republicans will

1036
00:55:19,040 --> 00:55:22,680
Speaker 3: be given an opportunity to switch back and maybe slow down,

1037
00:55:23,280 --> 00:55:27,000
Speaker 3: right because they're like, whoa, this rat is big and

1038
00:55:27,040 --> 00:55:29,319
Speaker 3: it's going to continue on two years after that.

1039
00:55:29,920 --> 00:55:32,359
Speaker 1: I know you've got to go, and I don't want

1040
00:55:32,400 --> 00:55:33,880
Speaker 1: to keep you too long, but I do want to

1041
00:55:33,920 --> 00:55:36,800
Speaker 1: dabble in Texas politics. You served in that Texas State House.

1042
00:55:37,040 --> 00:55:39,960
Speaker 1: I think the most fascinating political story that no one's

1043
00:55:40,000 --> 00:55:43,680
Speaker 1: paying attention to is, and you know these folks, is

1044
00:55:43,800 --> 00:55:46,880
Speaker 1: the leadership of the Texas House is a bipartisan is

1045
00:55:47,000 --> 00:55:50,399
Speaker 1: the result of a bipartisan effort that it was sort

1046
00:55:50,400 --> 00:55:53,560
Speaker 1: of a rejection of the of the more right wing

1047
00:55:54,200 --> 00:55:58,080
Speaker 1: elements of the Texas Republican Party. Is Texas a three

1048
00:55:58,160 --> 00:56:01,640
Speaker 1: party state, meaning there's sort of two Republican parties, sort

1049
00:56:01,680 --> 00:56:04,160
Speaker 1: of the John Cornyn Party and the and the Ken

1050
00:56:04,239 --> 00:56:07,520
Speaker 1: Paxton Party version of it, and then there's the Democratic Party.

1051
00:56:07,520 --> 00:56:11,480
Speaker 1: I mean, am i am I describing it a bit cynically,

1052
00:56:11,520 --> 00:56:13,480
Speaker 1: but correctly you are.

1053
00:56:13,600 --> 00:56:16,760
Speaker 3: As We're about to watch what happens in this primary,

1054
00:56:16,800 --> 00:56:20,520
Speaker 3: and I think that it's going to be interesting because

1055
00:56:20,560 --> 00:56:23,600
Speaker 3: all of the polling says that Paxton is the one

1056
00:56:23,600 --> 00:56:25,879
Speaker 3: that's going to make it out of that primary, and

1057
00:56:26,239 --> 00:56:29,960
Speaker 3: it's going to make the Republicans' ability to win the

1058
00:56:29,960 --> 00:56:31,960
Speaker 3: Senate seat more difficult than it had.

1059
00:56:32,000 --> 00:56:33,440
Speaker 2: I can tell you for sure that.

1060
00:56:35,120 --> 00:56:39,400
Speaker 3: With almost absolute certainty, if John Cornyn somehow managed to

1061
00:56:39,400 --> 00:56:41,919
Speaker 3: be the nominee, Yeah, tough.

1062
00:56:42,640 --> 00:56:44,840
Speaker 1: Let there's too many put it this way, there's a

1063
00:56:44,880 --> 00:56:48,240
Speaker 1: whole bunch of Dallas Republicans who haven't voted Republican for president,

1064
00:56:48,280 --> 00:56:52,520
Speaker 1: I'm guessing now since twenty twelve. Yeah, and they'll vote

1065
00:56:52,520 --> 00:56:54,680
Speaker 1: for John Cornyn. They're voting for Ken Paxton.

1066
00:56:54,840 --> 00:56:57,160
Speaker 2: Correct, Yeah, correct, correct.

1067
00:56:57,200 --> 00:57:00,800
Speaker 3: So you know, it'll be interesting to see how whichever

1068
00:57:00,880 --> 00:57:04,360
Speaker 3: candidates emerge in that Senate race, how they decide to

1069
00:57:04,400 --> 00:57:07,480
Speaker 3: play it. I think there's been this inclination to kind

1070
00:57:07,480 --> 00:57:11,880
Speaker 3: of try to be like Republican esque, and it's.

1071
00:57:11,719 --> 00:57:13,879
Speaker 2: Not worked so far. So I just I really don't

1072
00:57:13,880 --> 00:57:14,680
Speaker 2: think that that well.

1073
00:57:14,600 --> 00:57:17,040
Speaker 1: Which path works. I mean, neither one of them worked, right.

1074
00:57:17,080 --> 00:57:19,880
Speaker 1: Beto didn't do that. Beto went in a different direction,

1075
00:57:20,080 --> 00:57:24,640
Speaker 1: got close but lost. Colin Allred when in the hey

1076
00:57:24,680 --> 00:57:28,880
Speaker 1: I'm I'm a John Cornyn type he basically said, you know,

1077
00:57:28,920 --> 00:57:32,440
Speaker 1: he hugged Cornan during that race against Cruise, which I

1078
00:57:32,440 --> 00:57:34,800
Speaker 1: think for swing voters, I get it. I get that

1079
00:57:34,920 --> 00:57:39,000
Speaker 1: strategy too, and he lost by more than Beto did.

1080
00:57:39,040 --> 00:57:39,960
Speaker 1: What does that tell you?

1081
00:57:40,760 --> 00:57:43,480
Speaker 3: I mean, I think again, I hate to do it.

1082
00:57:43,800 --> 00:57:46,040
Speaker 3: Like when you're talking about a tite vote and you're

1083
00:57:46,040 --> 00:57:48,800
Speaker 3: talking about tight election, that's when you're going to start

1084
00:57:48,800 --> 00:57:49,640
Speaker 3: to get into vibes.

1085
00:57:50,240 --> 00:57:50,640
Speaker 2: Period.

1086
00:57:50,720 --> 00:57:53,480
Speaker 3: You just are because again you have a certain portion

1087
00:57:53,560 --> 00:57:56,120
Speaker 3: of the electorate that does not have the time to

1088
00:57:56,200 --> 00:57:58,960
Speaker 3: kind of dig into all of the details.

1089
00:57:58,520 --> 00:58:00,400
Speaker 1: And Betto broke through and Colin did right.

1090
00:58:00,840 --> 00:58:05,040
Speaker 3: Yeah, Beto was able to energize so many people. But

1091
00:58:05,080 --> 00:58:08,400
Speaker 3: I also think he caught Cruse slipping right Like Cruse

1092
00:58:08,520 --> 00:58:11,200
Speaker 3: wasn't anticipating that he would have a real race, so

1093
00:58:11,240 --> 00:58:14,880
Speaker 3: he had that advantage. But he outworked Cruise definitely, like

1094
00:58:15,720 --> 00:58:17,000
Speaker 3: you know, the entire time.

1095
00:58:17,080 --> 00:58:19,800
Speaker 2: So I think that Betzo did what we needed.

1096
00:58:19,560 --> 00:58:21,960
Speaker 3: Done in that moment at least, which was to give

1097
00:58:22,040 --> 00:58:24,200
Speaker 3: us a little bit of hope. But it was because

1098
00:58:24,240 --> 00:58:27,760
Speaker 3: of how well that he did. He lost by three points.

1099
00:58:27,800 --> 00:58:30,600
Speaker 3: We know that Trump only won the state by five points.

1100
00:58:30,920 --> 00:58:32,440
Speaker 3: Next thing, you know, they want to change all the

1101
00:58:32,520 --> 00:58:35,960
Speaker 3: voting rules, right because you end up running away with Texas,

1102
00:58:36,160 --> 00:58:38,720
Speaker 3: there is no path for the Republicans to get into

1103
00:58:38,720 --> 00:58:41,160
Speaker 3: the White House. And that's why it's really important that

1104
00:58:41,200 --> 00:58:43,600
Speaker 3: we make those investments. Texas is a majority.

1105
00:58:43,720 --> 00:58:45,600
Speaker 1: Why does the Demo, why does the net look I'm

1106
00:58:45,600 --> 00:58:50,080
Speaker 1: a Floridian and I've watched the National Democratic Party pay

1107
00:58:50,120 --> 00:58:52,919
Speaker 1: lip service to Florida Democrats for decades and now they're

1108
00:58:52,920 --> 00:58:56,960
Speaker 1: in a catastrophic situation. I'm seeing the same set of

1109
00:58:57,000 --> 00:59:01,360
Speaker 1: lip service was paid to if the moment's been missed in.

1110
00:59:01,320 --> 00:59:05,120
Speaker 3: Texas, I really do think that we are missing out.

1111
00:59:05,200 --> 00:59:06,640
Speaker 3: But I think that we need to get on the

1112
00:59:06,640 --> 00:59:09,120
Speaker 3: ground and do the work. In that same election we're

1113
00:59:09,120 --> 00:59:12,240
Speaker 3: talking about, we only had seventeen percent of the people

1114
00:59:12,480 --> 00:59:15,560
Speaker 3: turn out. Seventeen percent of people people.

1115
00:59:15,560 --> 00:59:17,800
Speaker 1: This wasn't a registration issue. This was a turnout issue

1116
00:59:17,840 --> 00:59:19,040
Speaker 1: in correct.

1117
00:59:19,200 --> 00:59:22,680
Speaker 3: Right, But like we also do these tickets where it's

1118
00:59:22,680 --> 00:59:24,760
Speaker 3: like that's always the only person that anybody was going

1119
00:59:24,800 --> 00:59:27,440
Speaker 3: to vote for, Like there was nothing else that was

1120
00:59:27,480 --> 00:59:30,360
Speaker 3: like exciting or jazzing them. So we do this thing

1121
00:59:30,360 --> 00:59:32,720
Speaker 3: where it's like, oh, we've got one great candidate, and

1122
00:59:32,760 --> 00:59:34,760
Speaker 3: then we don't do anything else. I told you about

1123
00:59:34,800 --> 00:59:36,520
Speaker 3: people saying that they showed up and they voted for

1124
00:59:36,600 --> 00:59:39,240
Speaker 3: Harris when they were voting for the ticket. I think

1125
00:59:39,280 --> 00:59:42,400
Speaker 3: that we've got to be more strategic about like not

1126
00:59:42,560 --> 00:59:45,440
Speaker 3: just oh, let me put somebody who's Hispanic on this ticket,

1127
00:59:45,480 --> 00:59:49,280
Speaker 3: Like let's get strong people to run who can appeal

1128
00:59:49,360 --> 00:59:52,880
Speaker 3: to every portion of our state, Like you can have

1129
00:59:53,040 --> 00:59:55,440
Speaker 3: like people that are progressive and have people that are liberal,

1130
00:59:55,560 --> 00:59:58,160
Speaker 3: and have people that are better at media than others,

1131
00:59:58,200 --> 01:00:01,760
Speaker 3: have people that are black and Latino and Asian. We

1132
01:00:01,840 --> 01:00:05,160
Speaker 3: have a large AAPI community. So I think that we've

1133
01:00:05,160 --> 01:00:08,600
Speaker 3: got to figure out, like, okay, who will jazz up

1134
01:00:08,680 --> 01:00:10,800
Speaker 3: some folk? Like who will get them going? And frankly,

1135
01:00:11,280 --> 01:00:14,640
Speaker 3: black people have not been super jazzed. Just be perfectly honest.

1136
01:00:14,640 --> 01:00:17,000
Speaker 3: We have more black people in the state of Texas

1137
01:00:17,200 --> 01:00:20,040
Speaker 3: than any other state, and so like figuring out how

1138
01:00:20,040 --> 01:00:23,760
Speaker 3: to turn them out. When they won Georgia, you know what,

1139
01:00:24,240 --> 01:00:28,360
Speaker 3: they had turnout way above seventeen percent, right, And so

1140
01:00:28,480 --> 01:00:31,320
Speaker 3: that's the thing I think if we can get the turnout.

1141
01:00:30,920 --> 01:00:31,400
Speaker 2: We can win.

1142
01:00:33,840 --> 01:00:39,200
Speaker 1: If Nico Harrison ran for office, how many could he

1143
01:00:39,240 --> 01:00:49,560
Speaker 1: get elected to anything in Dallas right now? Now, you

1144
01:00:49,600 --> 01:00:53,240
Speaker 1: know how the Lucas situation is it? What of those?

1145
01:00:53,280 --> 01:00:55,760
Speaker 1: Do you think that's going to be something that leaves

1146
01:00:55,760 --> 01:00:59,560
Speaker 1: a mark for years, for decades or on the maps?

1147
01:00:59,600 --> 01:01:00,200
Speaker 2: For sure?

1148
01:01:00,480 --> 01:01:01,120
Speaker 1: Yeah?

1149
01:01:01,160 --> 01:01:01,680
Speaker 2: For sure?

1150
01:01:02,240 --> 01:01:05,920
Speaker 3: I mean, yeah, the fans were so supportive. We finally

1151
01:01:06,240 --> 01:01:09,040
Speaker 3: were getting somewhere and relevant.

1152
01:01:10,320 --> 01:01:13,960
Speaker 1: Yeah yeah, But the only thing that matters in Dallas

1153
01:01:14,000 --> 01:01:16,280
Speaker 1: is the Cowboys, right, Ultimately.

1154
01:01:16,480 --> 01:01:20,400
Speaker 3: They don't play in Dallas so Wow, that's.

1155
01:01:19,960 --> 01:01:21,920
Speaker 2: All I'm gonna say on that they don't play Wow.

1156
01:01:22,160 --> 01:01:24,280
Speaker 1: Well, well, the only people that play Dallas are the

1157
01:01:24,280 --> 01:01:26,680
Speaker 1: stars in the maps. So that's Dallas's only teams in

1158
01:01:26,720 --> 01:01:27,680
Speaker 1: your mind?

1159
01:01:28,040 --> 01:01:31,200
Speaker 3: I don't Yeah, yep, they're the ones that play in Dallas.

1160
01:01:31,520 --> 01:01:36,760
Speaker 1: Wow. Well they're your constituents, that's for sure. Are you

1161
01:01:36,840 --> 01:01:38,800
Speaker 1: running for oversight ranking? For sure?

1162
01:01:39,480 --> 01:01:42,320
Speaker 2: Uh? I was pretty sure I was in.

1163
01:01:42,400 --> 01:01:45,400
Speaker 3: I just got a phone call from a member that

1164
01:01:45,520 --> 01:01:47,680
Speaker 3: may complicate my pathway.

1165
01:01:48,320 --> 01:01:51,720
Speaker 1: So if you could give a Keem Jefferies one piece

1166
01:01:51,760 --> 01:01:52,640
Speaker 1: of advice, what would it be?

1167
01:01:54,560 --> 01:01:57,160
Speaker 3: I think that a piece of advice would be to

1168
01:01:57,240 --> 01:02:03,440
Speaker 3: embrace all portions of are caucus as as Democrats as

1169
01:02:03,480 --> 01:02:06,880
Speaker 3: a whole, and make sure that we have that implies.

1170
01:02:06,920 --> 01:02:09,040
Speaker 1: You don't think he has been what do you think

1171
01:02:09,040 --> 01:02:11,000
Speaker 1: he's e been too? Do you think he's been too

1172
01:02:11,600 --> 01:02:12,760
Speaker 1: trying to be too strategic?

1173
01:02:12,920 --> 01:02:15,840
Speaker 3: I think that I think we focused on being kind

1174
01:02:15,840 --> 01:02:19,880
Speaker 3: of completely unified, and I think what works in one

1175
01:02:19,880 --> 01:02:23,360
Speaker 3: district doesn't necessarily work in another district. And I think

1176
01:02:23,440 --> 01:02:26,200
Speaker 3: being seen is given permission for everyone to kind of

1177
01:02:27,000 --> 01:02:27,360
Speaker 3: be what.

1178
01:02:27,320 --> 01:02:30,480
Speaker 1: They have to fight. Maybe have a debate, go ahead,

1179
01:02:30,560 --> 01:02:32,720
Speaker 1: let it be public a little bit. Look, this is

1180
01:02:32,760 --> 01:02:36,680
Speaker 1: what happened in nineteen ninety Bill Clinton, Jesse Jackson Robe,

1181
01:02:36,720 --> 01:02:41,160
Speaker 1: They had a big, loud debate, and guess what. Democratic

1182
01:02:41,200 --> 01:02:44,520
Speaker 1: Party didn't lose the popular vote but twice in the

1183
01:02:44,560 --> 01:02:45,960
Speaker 1: next thirty years.

1184
01:02:46,320 --> 01:02:50,080
Speaker 2: Yeah, so we'll see, but I've got to run.

1185
01:02:50,480 --> 01:02:52,800
Speaker 1: I appree, well, I appreciate your time.

1186
01:02:53,200 --> 01:02:54,000
Speaker 2: It's been playing.

1187
01:02:54,680 --> 01:02:56,800
Speaker 1: Yeah, and I'll be bugging you again in the future.

1188
01:02:57,040 --> 01:02:57,560
Speaker 2: Absolutely,