1
00:00:04,720 --> 00:00:09,720
Speaker 1: Hey, everybody, welcome to Battleground Podcast. It's awesome to have

2
00:00:09,800 --> 00:00:14,200
Speaker 1: you here. This week, we have an incredible guest. His

3
00:00:14,320 --> 00:00:18,680
Speaker 1: name is Rich Barris, aka the People's Pundit. He is

4
00:00:19,160 --> 00:00:22,880
Speaker 1: a Polster that I look to a lot, both during

5
00:00:23,000 --> 00:00:27,720
Speaker 1: my twenty twenty congressional race and twenty twenty two Senate

6
00:00:27,800 --> 00:00:32,599
Speaker 1: race and thereafter. Rich is unique because, I mean, I

7
00:00:32,680 --> 00:00:36,879
Speaker 1: think because not only does he have a solid methodology,

8
00:00:37,320 --> 00:00:40,479
Speaker 1: and when you're polling, its methodology is really important to

9
00:00:40,479 --> 00:00:44,120
Speaker 1: have the proper sample size, the right questions, you know,

10
00:00:44,280 --> 00:00:47,320
Speaker 1: look at the right cross tabs, things like that. Rich

11
00:00:47,560 --> 00:00:51,479
Speaker 1: has all of those things on lockdown. But what I

12
00:00:51,520 --> 00:00:56,520
Speaker 1: also like about Rich is that he understands the cultural

13
00:00:56,600 --> 00:01:01,720
Speaker 1: moment that we're in right now. And so many holsters

14
00:01:01,800 --> 00:01:06,280
Speaker 1: exist inside the beltwagh in Washington, and they're really quite

15
00:01:06,280 --> 00:01:10,680
Speaker 1: frankly out of touch with what is going on in

16
00:01:10,720 --> 00:01:14,720
Speaker 1: congressional districts and in states really all across the country. Well,

17
00:01:14,920 --> 00:01:21,039
Speaker 1: Rich comes from a middle class, blue collar family, knows

18
00:01:21,080 --> 00:01:23,680
Speaker 1: what it's like to live paycheck to paycheck, and really

19
00:01:23,680 --> 00:01:27,240
Speaker 1: goes out of his way to understand the issues that

20
00:01:27,360 --> 00:01:32,280
Speaker 1: matter to people and the cultural, really historical cultural moment

21
00:01:32,319 --> 00:01:34,560
Speaker 1: that we're in right now. That's why I like them.

22
00:01:35,000 --> 00:01:41,120
Speaker 1: And so this episode we talk about everything political. We

23
00:01:41,200 --> 00:01:44,720
Speaker 1: do a post mortem on twenty twenty two why the

24
00:01:44,760 --> 00:01:48,200
Speaker 1: red Wave did not happen, and we look forward to

25
00:01:48,240 --> 00:01:50,680
Speaker 1: twenty twenty four. We have a look at both the

26
00:01:50,800 --> 00:01:53,800
Speaker 1: Republican ticket with Ron DeSantis now in the race, what

27
00:01:54,000 --> 00:01:57,160
Speaker 1: is that presidential What does that presidential race look like

28
00:01:57,200 --> 00:02:00,200
Speaker 1: in twenty twenty four? Can Trump win? I think he

29
00:02:00,280 --> 00:02:03,919
Speaker 1: can look forward to you hearing what Rich says about

30
00:02:03,920 --> 00:02:06,960
Speaker 1: all that. But we also look at the Democrat ticket.

31
00:02:07,160 --> 00:02:10,360
Speaker 1: So I think Rich is great. I think you'll like

32
00:02:10,440 --> 00:02:13,440
Speaker 1: the show. And as always, if you're listening to this

33
00:02:13,560 --> 00:02:16,240
Speaker 1: or you're watching this like, please subscribe to the show.

34
00:02:17,320 --> 00:02:20,360
Speaker 1: We need it. It helps us leave a review, comment

35
00:02:20,480 --> 00:02:23,840
Speaker 1: on social media, share screenshots on Instagram. If you like

36
00:02:23,919 --> 00:02:27,680
Speaker 1: the show, I'll reshare them in my story. This show

37
00:02:27,800 --> 00:02:30,680
Speaker 1: is really for you, and none of it's possible without you.

38
00:02:30,800 --> 00:02:35,160
Speaker 1: So as always, thank you so much for your enduring support.

39
00:02:35,400 --> 00:02:39,240
Speaker 1: I'm always deeply grateful for it and humbled by it.

40
00:02:40,480 --> 00:02:43,440
Speaker 1: God bless you all. And without further ado, I hope

41
00:02:43,440 --> 00:02:51,280
Speaker 1: you enjoy my conversation with Rich the People's Pundit Rich

42
00:02:51,360 --> 00:02:55,120
Speaker 1: Barris joins me today on the show. Rich, thank you

43
00:02:55,200 --> 00:03:00,560
Speaker 1: for coming on. I turn to you anytime. I I'm

44
00:03:00,600 --> 00:03:02,760
Speaker 1: looking to get a sense of where we are as

45
00:03:02,760 --> 00:03:05,440
Speaker 1: a country from a polling standpoint, and so thank you

46
00:03:05,480 --> 00:03:06,040
Speaker 1: for coming on.

47
00:03:06,680 --> 00:03:08,440
Speaker 2: Thanks for having me, Sean. It's good to be here.

48
00:03:10,040 --> 00:03:12,200
Speaker 1: So there's so much to talk about. I have so

49
00:03:12,240 --> 00:03:14,960
Speaker 1: many questions for you. But one of the things that

50
00:03:15,080 --> 00:03:17,880
Speaker 1: jumped out at me right away, Rich, like when you

51
00:03:17,919 --> 00:03:20,560
Speaker 1: read your bio, you do any bit of research into you,

52
00:03:20,639 --> 00:03:22,440
Speaker 1: is that you're an army guy. I'm an army guy.

53
00:03:23,160 --> 00:03:26,639
Speaker 1: So I got to ask you, how did you make

54
00:03:26,680 --> 00:03:29,760
Speaker 1: the jump from a guy who volunteered to serve the

55
00:03:29,800 --> 00:03:34,000
Speaker 1: country to polling and one of the most hostile, thankless

56
00:03:34,160 --> 00:03:35,760
Speaker 1: professions on the face of the earth.

57
00:03:37,560 --> 00:03:41,480
Speaker 3: You know, I think you'll probably understand this better than

58
00:03:41,480 --> 00:03:42,400
Speaker 3: most people would.

59
00:03:42,480 --> 00:03:42,800
Speaker 2: Shawn.

60
00:03:42,960 --> 00:03:47,320
Speaker 3: So, after none eleven, which I was still kind of

61
00:03:47,360 --> 00:03:50,120
Speaker 3: young when nine to eleven happened, But after none eleven,

62
00:03:50,640 --> 00:03:54,760
Speaker 3: the Army started a program called the eighteen X ray program,

63
00:03:55,120 --> 00:03:58,200
Speaker 3: and I did want to serve in some capacity. My

64
00:03:58,240 --> 00:04:00,680
Speaker 3: grandfather was in the army, my godfather in the army,

65
00:04:00,920 --> 00:04:03,080
Speaker 3: and I was thinking about the Navy, thinking about maybe

66
00:04:03,120 --> 00:04:05,320
Speaker 3: seals because I back then I used to do martial

67
00:04:05,440 --> 00:04:08,800
Speaker 3: arts and my one of my instructors, his father is.

68
00:04:08,720 --> 00:04:09,480
Speaker 2: A big name guy.

69
00:04:09,560 --> 00:04:11,200
Speaker 3: A lot of people probably know who he is, but

70
00:04:11,640 --> 00:04:14,720
Speaker 3: Jim Watson Patches Watson, so they they were, you know,

71
00:04:14,720 --> 00:04:17,080
Speaker 3: trying to nudge me to the Navy. But I had

72
00:04:17,080 --> 00:04:20,320
Speaker 3: a you know, familial connection with the Army. And I

73
00:04:20,360 --> 00:04:23,599
Speaker 3: also like the mission of Green Berys a little bit better.

74
00:04:23,600 --> 00:04:26,200
Speaker 3: I like the idea of going in there and and

75
00:04:27,080 --> 00:04:29,359
Speaker 3: you know, just not in and out, but you know,

76
00:04:29,440 --> 00:04:32,200
Speaker 3: staying with these people, teaching them how to defend themselves.

77
00:04:33,160 --> 00:04:35,159
Speaker 3: But I, you know, I got hurt. I did a

78
00:04:35,160 --> 00:04:37,960
Speaker 3: lot of the hard stuff that's not much to tell.

79
00:04:38,040 --> 00:04:40,200
Speaker 3: I got you know, got hurt, and like a lot

80
00:04:40,279 --> 00:04:42,240
Speaker 3: of other guys, when I got out, I really didn't

81
00:04:42,240 --> 00:04:44,719
Speaker 3: know where to go. I actually had a really hard

82
00:04:44,800 --> 00:04:47,440
Speaker 3: time readjusting because I don't have to tell you the

83
00:04:47,560 --> 00:04:50,200
Speaker 3: army is. When you're happy in the army and you

84
00:04:50,279 --> 00:04:52,280
Speaker 3: love what you do in the army, it's the best

85
00:04:52,320 --> 00:04:53,040
Speaker 3: job in the world.

86
00:04:53,360 --> 00:04:56,279
Speaker 2: It's the best life in the world that you'll get.

87
00:04:56,279 --> 00:04:56,840
Speaker 2: You'll have the.

88
00:04:56,800 --> 00:04:59,599
Speaker 3: Best friend you'll ever have, you know, in your life.

89
00:05:00,160 --> 00:05:01,440
Speaker 3: When you're doing that.

90
00:05:01,800 --> 00:05:04,000
Speaker 2: So it's really it was difficult for me to adjust.

91
00:05:05,720 --> 00:05:09,159
Speaker 3: I did always have numbers in my background, right, So

92
00:05:09,240 --> 00:05:12,560
Speaker 3: even in the Army, I wanted eighteen Charlie, which is engineering,

93
00:05:13,320 --> 00:05:16,120
Speaker 3: and it was pretty easy to get with aptitude and

94
00:05:16,279 --> 00:05:19,159
Speaker 3: my background. But I didn't When I got out, I

95
00:05:19,200 --> 00:05:22,520
Speaker 3: did not immediately jump into politics. I actually was in

96
00:05:22,560 --> 00:05:25,680
Speaker 3: a host of different financials. We took ip we did

97
00:05:25,680 --> 00:05:30,159
Speaker 3: IPOs for a while, we did, you know, portfolio management.

98
00:05:30,279 --> 00:05:33,720
Speaker 3: I ended up, you know, being a local financial advisor,

99
00:05:34,000 --> 00:05:36,240
Speaker 3: and I just wanted something different, and I was always

100
00:05:36,240 --> 00:05:40,680
Speaker 3: involved in politics and again, you know, trying to find

101
00:05:41,000 --> 00:05:43,680
Speaker 3: what I'm going to do after the Army. I wound

102
00:05:43,760 --> 00:05:45,799
Speaker 3: up in Florida, and I ended up at the University

103
00:05:45,800 --> 00:05:48,720
Speaker 3: of Florida, where if you love politics, you and you

104
00:05:48,839 --> 00:05:52,680
Speaker 3: love this industry in general, it's a good place with

105
00:05:52,760 --> 00:05:56,000
Speaker 3: the election project there and on your spare time, nerds

106
00:05:56,000 --> 00:05:56,840
Speaker 3: are like trying.

107
00:05:56,640 --> 00:05:59,920
Speaker 2: To develop election projection models, right.

108
00:06:00,360 --> 00:06:02,840
Speaker 3: And I had a lot of people, a lot of

109
00:06:03,080 --> 00:06:06,280
Speaker 3: a lot of good professors around. One in particular that

110
00:06:06,400 --> 00:06:08,520
Speaker 3: really sent me on this direction. He was like, look,

111
00:06:08,600 --> 00:06:11,440
Speaker 3: you know, you've been a numbers guy your whole life.

112
00:06:12,080 --> 00:06:15,360
Speaker 3: Instead of getting a useless you know, Bachelors of Arts

113
00:06:15,360 --> 00:06:19,080
Speaker 3: degree or whatever. You're here trying to do this. I

114
00:06:19,400 --> 00:06:22,120
Speaker 3: think you may appreciate this, and really the rest is history.

115
00:06:22,520 --> 00:06:25,200
Speaker 2: And I did. Look at that time.

116
00:06:25,279 --> 00:06:27,800
Speaker 3: You know, you had the Crystal Ball Larry Sabado, right,

117
00:06:27,880 --> 00:06:30,360
Speaker 3: so you had you know, the Nate Silvers of the

118
00:06:30,400 --> 00:06:33,080
Speaker 3: world were still not really that big at that point.

119
00:06:33,600 --> 00:06:36,400
Speaker 3: So we were, you know, doing this, you know, for

120
00:06:36,440 --> 00:06:38,840
Speaker 3: a while, just kind of know it's on stupid but

121
00:06:38,960 --> 00:06:42,000
Speaker 3: kind of for fun. And I always, you know, volunteered.

122
00:06:42,480 --> 00:06:45,520
Speaker 3: I remember my first presidential election volunteering for that and

123
00:06:45,560 --> 00:06:47,960
Speaker 3: that was Jersey. So I mean I've been doing this

124
00:06:48,000 --> 00:06:50,960
Speaker 3: for a while and then but not as a profession.

125
00:06:51,240 --> 00:06:53,600
Speaker 3: And then I you know, I'm like a lot of people,

126
00:06:53,640 --> 00:06:56,120
Speaker 3: and I changed my career midway. But you know, when

127
00:06:56,120 --> 00:06:57,880
Speaker 3: you're coming out of the army, you don't really have

128
00:06:57,920 --> 00:07:00,640
Speaker 3: a plan. I didn't going into the army. I thought

129
00:07:00,640 --> 00:07:02,560
Speaker 3: that's I'm a soldier. I'm going to be a soldier.

130
00:07:02,600 --> 00:07:03,080
Speaker 2: I love it.

131
00:07:03,440 --> 00:07:06,600
Speaker 3: So, you know, I stumbled into this because I didn't

132
00:07:06,640 --> 00:07:09,120
Speaker 3: have a plan B for getting hurt. You know, I

133
00:07:09,200 --> 00:07:12,400
Speaker 3: just didn't, and I'm glad I did because I think

134
00:07:12,440 --> 00:07:16,200
Speaker 3: this this business, uh, basically saved my life, kept me focused.

135
00:07:16,480 --> 00:07:19,520
Speaker 3: You know, it wasn't an easy road, but I had

136
00:07:19,560 --> 00:07:20,200
Speaker 3: a knack for it.

137
00:07:21,080 --> 00:07:23,000
Speaker 1: Well, I mean, you clearly believe in it, and you

138
00:07:23,040 --> 00:07:26,640
Speaker 1: can tell by the way that you that won. You

139
00:07:26,680 --> 00:07:28,600
Speaker 1: back your numbers, and you mix it up with people

140
00:07:28,640 --> 00:07:31,160
Speaker 1: on Twitter defending yourself all the time. I mean, this

141
00:07:31,280 --> 00:07:34,320
Speaker 1: is what I mean by by polling. I mean politics,

142
00:07:34,360 --> 00:07:38,600
Speaker 1: but especially polling is a very difficult place for people

143
00:07:38,680 --> 00:07:42,120
Speaker 1: to live and to operate and to work because you know,

144
00:07:42,240 --> 00:07:46,760
Speaker 1: as you saw going into to twenty sixteen with President

145
00:07:46,760 --> 00:07:51,440
Speaker 1: Trump coming down the escalator and really the Trump Arrangement

146
00:07:51,440 --> 00:07:54,320
Speaker 1: syndrome of the media. Like I think when President Trump

147
00:07:54,320 --> 00:07:59,080
Speaker 1: became the nominee in twenty sixteen, people lost their minds

148
00:07:59,120 --> 00:08:02,760
Speaker 1: and lost a lot of faith in you know, the

149
00:08:03,160 --> 00:08:08,200
Speaker 1: conventional mainstream media, but also people lost a ton of

150
00:08:08,280 --> 00:08:11,400
Speaker 1: faith in polsters because I mean, you look at some

151
00:08:11,440 --> 00:08:15,080
Speaker 1: of the models back then. Rich. I mean, I think

152
00:08:15,160 --> 00:08:18,440
Speaker 1: everybody thought that Hillary Clinton was going to run away

153
00:08:18,440 --> 00:08:20,280
Speaker 1: with this thing. I even think Hillary thought she was

154
00:08:20,280 --> 00:08:22,280
Speaker 1: going to run away with it. And I always think back,

155
00:08:22,680 --> 00:08:25,200
Speaker 1: I mean, as evidence by her thinking she was going

156
00:08:25,280 --> 00:08:27,680
Speaker 1: to run away with it, the picture of her happy

157
00:08:27,680 --> 00:08:30,960
Speaker 1: birthday to this future president, which she still gets trolled on.

158
00:08:31,720 --> 00:08:32,680
Speaker 2: Like to this day.

159
00:08:33,200 --> 00:08:39,440
Speaker 1: But so people don't trust polsters. Yeah, so clearly you

160
00:08:39,559 --> 00:08:43,640
Speaker 1: found your niche in not just the numbers rich And

161
00:08:43,679 --> 00:08:47,480
Speaker 1: this is what I'm building to, like understanding where people

162
00:08:47,600 --> 00:08:52,840
Speaker 1: are in this cultural moment that we live in today.

163
00:08:52,960 --> 00:08:56,800
Speaker 3: I like to pride myself, Sean in still being a

164
00:08:56,840 --> 00:08:59,440
Speaker 3: part of the process too, And I think I do

165
00:08:59,559 --> 00:09:03,560
Speaker 3: that a lot others don't. I have literally pulled people

166
00:09:03,600 --> 00:09:05,280
Speaker 3: myself who will say, wait.

167
00:09:05,160 --> 00:09:06,840
Speaker 2: A minute, I think I know who this is. This

168
00:09:07,000 --> 00:09:09,240
Speaker 2: really him? You know, they don't expect that the expect

169
00:09:09,280 --> 00:09:10,000
Speaker 2: the call center.

170
00:09:10,320 --> 00:09:14,600
Speaker 3: I constantly monitor employees who give the interviews I want

171
00:09:14,640 --> 00:09:18,320
Speaker 3: to listen. I think that my background not being born

172
00:09:18,400 --> 00:09:20,680
Speaker 3: with a silver spoon in my mouth, and you know,

173
00:09:20,800 --> 00:09:23,640
Speaker 3: coming from a working class area, first in New York,

174
00:09:23,720 --> 00:09:26,440
Speaker 3: then in New Jersey. I think I heard what people

175
00:09:26,440 --> 00:09:29,959
Speaker 3: were saying in twenty fifteen and twenty sixteen, but a

176
00:09:30,000 --> 00:09:33,160
Speaker 3: little differently than other people did. So I came from

177
00:09:33,160 --> 00:09:36,800
Speaker 3: an area I remember the local door manufact door and

178
00:09:36,880 --> 00:09:39,760
Speaker 3: window manufacturing company. If you didn't have a job, you

179
00:09:39,800 --> 00:09:42,400
Speaker 3: could always go to suburban They'll give you twelve or

180
00:09:42,440 --> 00:09:45,080
Speaker 3: fourteen bucks. An hour until you find something new. I

181
00:09:45,160 --> 00:09:48,320
Speaker 3: remember that closing down. I remember my friends going to

182
00:09:48,400 --> 00:09:51,600
Speaker 3: vocational schools and not being able to use it because

183
00:09:51,960 --> 00:09:54,240
Speaker 3: there were illegal immigrants on the corner of seven eleven

184
00:09:54,320 --> 00:09:56,400
Speaker 3: that businesses would stop and pick up and they could

185
00:09:56,440 --> 00:09:58,880
Speaker 3: do it for six dollars an hour instead of paying

186
00:09:58,880 --> 00:10:02,320
Speaker 3: my friends in actual way that they trained for. So

187
00:10:02,520 --> 00:10:05,560
Speaker 3: I think my experience made me, you know, allowed me

188
00:10:05,720 --> 00:10:08,559
Speaker 3: to listen to these people and not dismiss their concerns

189
00:10:08,640 --> 00:10:12,000
Speaker 3: or their grievances outright. And I also came in this

190
00:10:12,160 --> 00:10:14,720
Speaker 3: at a time where I don't know why the media

191
00:10:14,800 --> 00:10:18,040
Speaker 3: had for so long hid this from people, but even

192
00:10:18,360 --> 00:10:21,560
Speaker 3: four the exit polling debacle and four there had been

193
00:10:21,640 --> 00:10:23,800
Speaker 3: a problem with polling for a long.

194
00:10:23,679 --> 00:10:26,640
Speaker 2: Time and people just weren't told about it.

195
00:10:26,920 --> 00:10:30,079
Speaker 3: And I think that it didn't come into everyone's attention

196
00:10:30,520 --> 00:10:33,720
Speaker 3: until they blew a presidential race, which just doesn't always happen.

197
00:10:34,040 --> 00:10:37,040
Speaker 3: Gallup gave up in twenty twelve because they predicted Mitt

198
00:10:37,120 --> 00:10:39,600
Speaker 3: Romney was going to win, and they flatly said, we're

199
00:10:39,640 --> 00:10:42,120
Speaker 3: out of the horse race business. This is too hard

200
00:10:42,360 --> 00:10:45,640
Speaker 3: and we don't think it's responsible to do. Moving forward

201
00:10:46,120 --> 00:10:49,800
Speaker 3: in twenty fifteen and sixteen, we were totally different than

202
00:10:49,800 --> 00:10:53,280
Speaker 3: everybody else. We changed how we did our modes of collection.

203
00:10:53,400 --> 00:10:56,240
Speaker 3: We're not always live calling people. There are just some

204
00:10:56,280 --> 00:10:59,319
Speaker 3: people who will not stay on the phone with an

205
00:10:59,360 --> 00:11:02,480
Speaker 3: agent or an interviewer on you know, a twenty minute

206
00:11:02,520 --> 00:11:05,320
Speaker 3: call to be interviewed about their political beliefs, and they're not

207
00:11:05,559 --> 00:11:08,200
Speaker 3: going to do it, so you have to reach them

208
00:11:08,240 --> 00:11:11,679
Speaker 3: other ways. But even still, this is why we're always

209
00:11:11,760 --> 00:11:13,880
Speaker 3: on Twitter mixing it up because there are records. We

210
00:11:13,920 --> 00:11:16,719
Speaker 3: can defend ourselves, right, So everyone's gonna miss once in

211
00:11:16,760 --> 00:11:18,800
Speaker 3: a while, but without a doubt.

212
00:11:18,520 --> 00:11:22,880
Speaker 2: I'm my record. I stand by it because I'm proud

213
00:11:22,920 --> 00:11:23,160
Speaker 2: of it.

214
00:11:23,360 --> 00:11:27,000
Speaker 3: In twenty sixteen, though we still did underestimate Trump, we

215
00:11:27,080 --> 00:11:29,320
Speaker 3: did think he was going to win, but you know,

216
00:11:29,360 --> 00:11:32,040
Speaker 3: in Ohio, our final poll was like three points Trump

217
00:11:32,040 --> 00:11:35,320
Speaker 3: plus three, right, so we still had to adjust moving forward,

218
00:11:35,360 --> 00:11:39,199
Speaker 3: obviously missing some voters, but they were stubborn, sewn.

219
00:11:39,000 --> 00:11:39,959
Speaker 2: And wouldn't do it.

220
00:11:40,320 --> 00:11:43,840
Speaker 3: And someone like me is not welcome, you know, in

221
00:11:43,920 --> 00:11:45,000
Speaker 3: this industry.

222
00:11:45,600 --> 00:11:49,200
Speaker 1: It's interesting because you talk about coming up in a

223
00:11:49,200 --> 00:11:52,079
Speaker 1: working class area. I did as well. I come from

224
00:11:52,120 --> 00:11:55,880
Speaker 1: a family of Western Pennsylvania Union Democrats. And when you

225
00:11:55,920 --> 00:12:00,640
Speaker 1: come from that background. It just shapes the way that

226
00:12:00,920 --> 00:12:04,720
Speaker 1: you view the world. And you know every like you

227
00:12:04,760 --> 00:12:06,920
Speaker 1: know everybody in your neighborhood, you know where they work.

228
00:12:06,960 --> 00:12:09,840
Speaker 1: You know when someone loses their job, and when that happens,

229
00:12:09,880 --> 00:12:14,000
Speaker 1: you know how that affects families. So and I think

230
00:12:14,040 --> 00:12:16,640
Speaker 1: what we have now rich and correct me if I'm wrong,

231
00:12:16,760 --> 00:12:18,480
Speaker 1: is you have a lot of Polsters that are sort

232
00:12:18,480 --> 00:12:21,120
Speaker 1: of there inside the belt way. They work for consultants.

233
00:12:21,160 --> 00:12:24,400
Speaker 1: They all think the same way, and it's been that

234
00:12:24,480 --> 00:12:29,480
Speaker 1: way for a long time, and I feel like that's

235
00:12:29,520 --> 00:12:31,800
Speaker 1: why they get it wrong, you know. And so it's

236
00:12:31,840 --> 00:12:36,720
Speaker 1: a polland can't just be about the empirical data and

237
00:12:36,760 --> 00:12:40,760
Speaker 1: the numbers. I mean, obviously methodology and sample size is

238
00:12:41,240 --> 00:12:44,600
Speaker 1: really really important, and how you ask questions is really

239
00:12:44,640 --> 00:12:47,240
Speaker 1: really important because how you ask a question is can

240
00:12:47,280 --> 00:12:52,120
Speaker 1: determine how someone answers. Really, but not understanding the trials

241
00:12:52,120 --> 00:12:56,040
Speaker 1: and tribulations of where the people are at a specific

242
00:12:56,080 --> 00:12:59,760
Speaker 1: moment in time is has to be part of it.

243
00:13:00,040 --> 00:13:03,160
Speaker 1: And so I don't know how I mean, certainly there's

244
00:13:03,160 --> 00:13:05,520
Speaker 1: no substitute for being on the ground running a campaign

245
00:13:05,600 --> 00:13:07,400
Speaker 1: and putting your finger on the pulse of a congressional

246
00:13:07,440 --> 00:13:10,520
Speaker 1: district or a state. But how can polsters or how

247
00:13:10,559 --> 00:13:15,360
Speaker 1: have you been able to tap into where people are,

248
00:13:15,960 --> 00:13:19,319
Speaker 1: say in the rust belt, where you know, as of

249
00:13:19,400 --> 00:13:23,079
Speaker 1: this moment, Donald Trump has a what seems to be

250
00:13:23,520 --> 00:13:26,439
Speaker 1: a commanding lead on Ron DeSantis in the critical Roust belt.

251
00:13:28,040 --> 00:13:30,880
Speaker 3: You know, they say that polling's part art and part science, right,

252
00:13:31,360 --> 00:13:34,360
Speaker 3: it's a lot of art. And I love history. I

253
00:13:34,400 --> 00:13:37,240
Speaker 3: love not just looking at where the state is now.

254
00:13:37,280 --> 00:13:40,120
Speaker 3: And in your state, for instance, I love where it

255
00:13:40,200 --> 00:13:42,760
Speaker 3: was ten years ago, twenty years ago. And I think,

256
00:13:42,800 --> 00:13:44,760
Speaker 3: and I don't mean to pick on them, but I

257
00:13:44,800 --> 00:13:48,000
Speaker 3: did use this as an example when I was asked

258
00:13:48,040 --> 00:13:51,440
Speaker 3: by the Washington Post recently. If you're Nate Cohen, you know,

259
00:13:51,440 --> 00:13:53,760
Speaker 3: at the New York Times, and you're sitting in your

260
00:13:53,800 --> 00:13:57,920
Speaker 3: cubicle every day inside your office, you're not getting out,

261
00:13:58,000 --> 00:14:00,319
Speaker 3: you're not seeing, you know, not taking the pulse of anybody.

262
00:14:01,200 --> 00:14:03,839
Speaker 3: You think calling them on the phone is enough, and

263
00:14:03,880 --> 00:14:06,079
Speaker 3: you're not realizing by the way that you're going to

264
00:14:06,160 --> 00:14:08,920
Speaker 3: reach certain people like that, depending on what mode you're

265
00:14:09,040 --> 00:14:11,520
Speaker 3: using to reach people, you're going to reach different people

266
00:14:11,559 --> 00:14:14,600
Speaker 3: because these different groups respond at different modes at different rates.

267
00:14:15,040 --> 00:14:16,000
Speaker 2: Not me there's no.

268
00:14:15,920 --> 00:14:20,280
Speaker 3: Substitute for you know, doing it myself and appreciating the

269
00:14:20,400 --> 00:14:24,440
Speaker 3: history and the different ancestral voting patterns. So if you're

270
00:14:24,560 --> 00:14:28,000
Speaker 3: him and you call like Green County, Pennsylvania, for instance,

271
00:14:28,320 --> 00:14:31,360
Speaker 3: and he did this in twenty twenty, and he had

272
00:14:31,440 --> 00:14:35,480
Speaker 3: Biden leading Trump there without a second thought. Now what

273
00:14:35,600 --> 00:14:38,040
Speaker 3: Green County is the Oh, there are a lot of

274
00:14:38,080 --> 00:14:42,640
Speaker 3: registered Democrats. But Trump carried Green County against Hillary Clinton.

275
00:14:42,880 --> 00:14:46,000
Speaker 3: It's ridiculous to think that Biden's going to be ahead

276
00:14:46,040 --> 00:14:48,240
Speaker 3: there by sixty plus percent.

277
00:14:48,680 --> 00:14:50,240
Speaker 2: But you know, he doesn't realize.

278
00:14:50,240 --> 00:14:53,160
Speaker 3: He probably called the only public library, you know, the

279
00:14:53,840 --> 00:14:56,960
Speaker 3: only Democrat who works at the public library in Green

280
00:14:57,040 --> 00:14:59,400
Speaker 3: County that still was going to vote for Joe Biden

281
00:14:59,440 --> 00:15:02,080
Speaker 3: over Donald t. But it didn't dawn on him that

282
00:15:02,080 --> 00:15:06,600
Speaker 3: that is wrong because they don't really understand Americans, or

283
00:15:06,640 --> 00:15:09,600
Speaker 3: at least the Americans that are between the coastal areas

284
00:15:09,600 --> 00:15:11,440
Speaker 3: where they work and they live right and they have

285
00:15:11,520 --> 00:15:14,360
Speaker 3: their friends and their social groups. They don't care about

286
00:15:14,360 --> 00:15:17,320
Speaker 3: that and may even be if we're being honest, they

287
00:15:17,320 --> 00:15:20,560
Speaker 3: may even despise those people. And you know, I think,

288
00:15:20,760 --> 00:15:24,840
Speaker 3: at least hope that they are not that significant of

289
00:15:24,880 --> 00:15:28,640
Speaker 3: the population, when in fact they are right. So I

290
00:15:28,680 --> 00:15:31,920
Speaker 3: think that you really can't lose it can't become all

291
00:15:31,960 --> 00:15:34,760
Speaker 3: about the numbers. If it does, then you're going to

292
00:15:34,880 --> 00:15:37,400
Speaker 3: miss out. And then I'm going to give away some secrets.

293
00:15:37,440 --> 00:15:41,120
Speaker 3: But there have been things even anybody is subjected or

294
00:15:41,160 --> 00:15:44,360
Speaker 3: can be or fall victim to your own biases and

295
00:15:44,480 --> 00:15:48,080
Speaker 3: your own you know, wishful thinking, and we have in

296
00:15:48,200 --> 00:15:51,480
Speaker 3: placed some safeguards for that that have really you know,

297
00:15:51,520 --> 00:15:54,760
Speaker 3: we've everyone's going to test at some point, and we

298
00:15:54,840 --> 00:15:55,680
Speaker 3: have them in place.

299
00:15:55,800 --> 00:15:56,880
Speaker 2: They seem to be working.

300
00:15:57,040 --> 00:15:59,480
Speaker 3: And again everyone misses once in a while, but for

301
00:15:59,520 --> 00:16:04,400
Speaker 3: the most are you have to know yourself and human

302
00:16:04,480 --> 00:16:07,080
Speaker 3: nature and you're going to lean to want to do

303
00:16:07,240 --> 00:16:12,160
Speaker 3: certain things, and there's nothing in place. There's only things

304
00:16:12,200 --> 00:16:14,160
Speaker 3: that are in place to reinforce their own views. There's

305
00:16:14,200 --> 00:16:16,400
Speaker 3: nothing in place to challenge them. And that's a problem,

306
00:16:16,800 --> 00:16:19,400
Speaker 3: big problem.

307
00:16:19,560 --> 00:16:22,040
Speaker 1: Today, I want to talk about something that's been on

308
00:16:22,080 --> 00:16:27,200
Speaker 1: the minds of many Americans lately, energy independence. With rising

309
00:16:27,440 --> 00:16:32,080
Speaker 1: energy prices and geopolitical tensions, it's more important than ever

310
00:16:32,600 --> 00:16:35,480
Speaker 1: for our country to be self sufficient when it comes

311
00:16:35,520 --> 00:16:39,160
Speaker 1: to our energy needs. And that's where deep well services

312
00:16:39,320 --> 00:16:43,520
Speaker 1: comes in. They're a company that's not only dedicated to

313
00:16:43,600 --> 00:16:47,280
Speaker 1: delivering top not services to the oil and gas industry,

314
00:16:47,720 --> 00:16:51,720
Speaker 1: but they're also committed to the goal of American energy independence.

315
00:16:52,320 --> 00:16:56,240
Speaker 1: With their cutting edge technology and expert team of professionals,

316
00:16:56,560 --> 00:17:00,720
Speaker 1: they're helping to unlock new sources of domestic energy and

317
00:17:00,800 --> 00:17:04,800
Speaker 1: reduce our dependence on foreign oil. But that's not all.

318
00:17:05,480 --> 00:17:09,760
Speaker 1: Deep Well Services is also a great American company that's

319
00:17:09,880 --> 00:17:13,879
Speaker 1: hiring like crazy right now, and they're not just looking

320
00:17:13,920 --> 00:17:18,680
Speaker 1: for anyone. They're seeking out talented and hardworking individuals who

321
00:17:18,680 --> 00:17:21,320
Speaker 1: want to join their team and make a difference. And

322
00:17:21,400 --> 00:17:24,919
Speaker 1: with competitive salaries and benefits, it's a great opportunity to

323
00:17:25,000 --> 00:17:28,320
Speaker 1: not only work for a patriotic company, but also build

324
00:17:28,359 --> 00:17:32,240
Speaker 1: a rewarding career in the energy sector. So if you're

325
00:17:32,320 --> 00:17:35,560
Speaker 1: looking for a job with purpose and meaning, or if

326
00:17:35,600 --> 00:17:39,200
Speaker 1: you're simply passionate about American energy independence, then you should

327
00:17:39,280 --> 00:17:43,360
Speaker 1: definitely check out Deep Well Services. Visit their website at

328
00:17:43,359 --> 00:17:47,480
Speaker 1: Deepwellservices dot com to learn more about their company and

329
00:17:47,560 --> 00:17:57,560
Speaker 1: career opportunities. And so, how how do you measure the

330
00:17:57,680 --> 00:18:00,840
Speaker 1: you know, the hidden Trump voter? I mean, because if

331
00:18:00,840 --> 00:18:04,880
Speaker 1: you've been involved in politics since Donald Trump has been

332
00:18:04,920 --> 00:18:09,359
Speaker 1: involved in politics as a major player, you know that

333
00:18:09,800 --> 00:18:14,440
Speaker 1: there is a significant percentage I would say, of conservative

334
00:18:14,680 --> 00:18:17,480
Speaker 1: Donald Trump supporters who don't like to talk about it,

335
00:18:17,480 --> 00:18:20,640
Speaker 1: and come hell or high water, they aren't talking about

336
00:18:20,680 --> 00:18:24,679
Speaker 1: it on the phone. And so having run to campaigns

337
00:18:24,720 --> 00:18:28,520
Speaker 1: in Pennsylvania, I know that that is almost always underestimated

338
00:18:28,720 --> 00:18:31,560
Speaker 1: in polling they don't and by the way, Rich this

339
00:18:31,640 --> 00:18:35,080
Speaker 1: is also at a time where trust in our institutions

340
00:18:35,080 --> 00:18:38,879
Speaker 1: are at an all time low. The FBI, everything that

341
00:18:38,960 --> 00:18:43,720
Speaker 1: happened with COVID and the CDC. This is sort of

342
00:18:43,720 --> 00:18:46,160
Speaker 1: what the woke mind virus is penetrated into all our

343
00:18:46,160 --> 00:18:49,040
Speaker 1: institutions and has compromised trust in all sorts of ways.

344
00:18:49,359 --> 00:18:52,560
Speaker 1: But because of that, people don't want to talk on

345
00:18:52,600 --> 00:18:56,159
Speaker 1: the phone to anyone and talk about their political views

346
00:18:56,480 --> 00:18:59,440
Speaker 1: when if those views become public, you know, they could

347
00:18:59,480 --> 00:19:01,080
Speaker 1: lose their job in some cases.

348
00:19:02,320 --> 00:19:04,720
Speaker 2: So there's it's not easy.

349
00:19:04,760 --> 00:19:06,720
Speaker 3: But there are a couple of things that I think

350
00:19:06,800 --> 00:19:10,359
Speaker 3: they think we're doing that is helpful and followers know this.

351
00:19:10,400 --> 00:19:12,879
Speaker 3: So we have what we call the social bias Indicators,

352
00:19:13,200 --> 00:19:16,199
Speaker 3: and basically every survey we'll ask people a series of

353
00:19:16,280 --> 00:19:19,879
Speaker 3: questions about whether they're comfortable talking about their political views,

354
00:19:19,920 --> 00:19:20,480
Speaker 3: such as.

355
00:19:20,440 --> 00:19:22,679
Speaker 2: Who are you going to vote for? Then we'll measure

356
00:19:22,720 --> 00:19:23,280
Speaker 2: them and see.

357
00:19:23,480 --> 00:19:27,080
Speaker 3: I'm not sure there's any way to totally account for it,

358
00:19:27,119 --> 00:19:29,360
Speaker 3: and we're not going to put our thumb on the scale.

359
00:19:29,680 --> 00:19:32,600
Speaker 3: We just hope that we can possibly identify how big

360
00:19:32,640 --> 00:19:35,680
Speaker 3: of a social bias there may be. So if we're off,

361
00:19:35,880 --> 00:19:38,480
Speaker 3: you know, in Trump's support or any candidate support by

362
00:19:38,520 --> 00:19:40,560
Speaker 3: a few points, at least we can look back and say,

363
00:19:40,800 --> 00:19:44,280
Speaker 3: you know what, forty percent told us that they were

364
00:19:44,560 --> 00:19:48,680
Speaker 3: very uncomfortable being honest in this question, and we'll say that,

365
00:19:48,960 --> 00:19:52,920
Speaker 3: how comfortable are you speaking with your friends, family members,

366
00:19:52,960 --> 00:19:56,480
Speaker 3: co workers, strangers, your neighbors. And we also asked the

367
00:19:56,560 --> 00:19:59,680
Speaker 3: last one is posters, how comfortable are you right now

368
00:19:59,720 --> 00:20:00,399
Speaker 3: being honest?

369
00:20:00,680 --> 00:20:03,159
Speaker 2: And I'll tell you, you know, I thought.

370
00:20:03,000 --> 00:20:05,879
Speaker 3: Under Biden maybe we would see a little bit of

371
00:20:05,920 --> 00:20:08,840
Speaker 3: a correction, but it's not true because you're right, it's

372
00:20:08,920 --> 00:20:09,880
Speaker 3: not Trump.

373
00:20:09,560 --> 00:20:10,560
Speaker 2: Who did it.

374
00:20:10,560 --> 00:20:13,320
Speaker 3: It's the institutions who did it and the media who

375
00:20:13,400 --> 00:20:17,240
Speaker 3: constantly reinforce you're a bad person if you hold these views.

376
00:20:17,640 --> 00:20:19,159
Speaker 2: So we look at it like that.

377
00:20:19,200 --> 00:20:21,000
Speaker 3: But also a big part of this, Sean is again

378
00:20:21,000 --> 00:20:24,600
Speaker 3: in those modes that the day of live caller to

379
00:20:24,680 --> 00:20:25,280
Speaker 3: the cell.

380
00:20:25,040 --> 00:20:27,320
Speaker 2: Phone to the landline has got to end.

381
00:20:27,920 --> 00:20:30,359
Speaker 3: You're going to reach more educated people like that that

382
00:20:30,400 --> 00:20:33,119
Speaker 3: are much more comfortable. You're not going to get the

383
00:20:33,160 --> 00:20:36,000
Speaker 3: steel worker in Alleghany County or western Pennsylvania.

384
00:20:36,440 --> 00:20:38,320
Speaker 2: They're just not going to talk to you.

385
00:20:38,640 --> 00:20:41,000
Speaker 3: If you do reach them online or maybe you send

386
00:20:41,000 --> 00:20:44,800
Speaker 3: them a text message, and you have to reassure them

387
00:20:45,200 --> 00:20:49,200
Speaker 3: that your responses are anonymous, they're confidential. Oh and by

388
00:20:49,240 --> 00:20:51,679
Speaker 3: the way, you have some time to finish the survey.

389
00:20:51,760 --> 00:20:53,760
Speaker 3: You don't have to complete it right now. So we

390
00:20:53,840 --> 00:20:56,200
Speaker 3: have a number of things that we've developed over time.

391
00:20:56,520 --> 00:20:58,600
Speaker 3: But at the end of the day, look at what

392
00:20:58,680 --> 00:21:03,080
Speaker 3: happened in Kentucky. Cameron won by thirty points next to

393
00:21:03,160 --> 00:21:03,920
Speaker 3: Kelly Kraft.

394
00:21:04,880 --> 00:21:07,560
Speaker 2: Nobody predicted that, right, That's just the way it is.

395
00:21:07,600 --> 00:21:12,320
Speaker 3: Sometimes it's just you. And that largely came from populated urban.

396
00:21:12,080 --> 00:21:14,160
Speaker 2: Areas Louisville, the suburbs.

397
00:21:14,200 --> 00:21:18,120
Speaker 3: Outside of the excerpts, right outside of urban areas, that

398
00:21:18,240 --> 00:21:20,159
Speaker 3: actually tends to be where we find a lot of

399
00:21:20,200 --> 00:21:23,080
Speaker 3: the social bias. You would think it comes from rural

400
00:21:23,119 --> 00:21:26,040
Speaker 3: areas and that's you know, where Republicans get their support,

401
00:21:26,119 --> 00:21:29,760
Speaker 3: But actually when it comes to this new brand of Republicanism.

402
00:21:30,000 --> 00:21:33,679
Speaker 3: It's people in the suburbs and in cities or excerpts

403
00:21:33,760 --> 00:21:36,360
Speaker 3: next to cities. They don't want to tell you. They

404
00:21:36,359 --> 00:21:38,000
Speaker 3: don't want to be honest. And that's where we call

405
00:21:38,040 --> 00:21:40,600
Speaker 3: them signals. They throw as signals, right So it's a

406
00:21:40,840 --> 00:21:43,720
Speaker 3: very high percentage you say they're uncomfortable right now, the

407
00:21:43,800 --> 00:21:48,560
Speaker 3: highest signals are in the excerpts and in normal suburbs.

408
00:21:49,760 --> 00:21:54,760
Speaker 1: That is, that is fascinating, man. So let's talk about

409
00:21:54,920 --> 00:21:57,439
Speaker 1: let's do a post mortem on twenty twenty because I

410
00:21:57,440 --> 00:22:01,879
Speaker 1: feel like many pundits actually let's we can do twenty twenty,

411
00:22:01,880 --> 00:22:04,480
Speaker 1: but like, let's talk twenty twenty two for just a second,

412
00:22:05,400 --> 00:22:07,760
Speaker 1: because I want to get your take on, you know,

413
00:22:08,600 --> 00:22:12,240
Speaker 1: the outcome of many of those races. You look at

414
00:22:12,280 --> 00:22:15,359
Speaker 1: any pundit, they would say, oh, there's going to be

415
00:22:15,400 --> 00:22:19,399
Speaker 1: a red wave. They also trot out, I think the

416
00:22:19,640 --> 00:22:23,080
Speaker 1: tired cliche. Well, there's a you know, the party in

417
00:22:23,119 --> 00:22:26,000
Speaker 1: the White House usually suffers in the midterms, and if

418
00:22:26,200 --> 00:22:28,320
Speaker 1: you know Democrat Joe Biden's in the white House, it

419
00:22:28,359 --> 00:22:31,760
Speaker 1: means that he's going to get crushed in these midterm races.

420
00:22:31,840 --> 00:22:35,600
Speaker 1: And after all the election changes in twenty twenty in

421
00:22:35,640 --> 00:22:39,240
Speaker 1: a post COVID world, with especially in swing states, using

422
00:22:39,359 --> 00:22:42,000
Speaker 1: my state in his example, with the no excuse mail

423
00:22:42,040 --> 00:22:46,120
Speaker 1: in ballot law in place, it completely changed the way

424
00:22:46,160 --> 00:22:48,680
Speaker 1: that we conduct elections here with an automatic opt in

425
00:22:48,720 --> 00:22:50,199
Speaker 1: And what I mean by that for the viewers and

426
00:22:50,200 --> 00:22:53,320
Speaker 1: listeners is that in Pennsylvania they changed the law so

427
00:22:53,359 --> 00:22:55,679
Speaker 1: that you know, if you request a mail in ballot,

428
00:22:55,680 --> 00:22:58,760
Speaker 1: you can check that automatic opt in box and get

429
00:22:58,760 --> 00:23:01,080
Speaker 1: a ballot mail to your door in every election for

430
00:23:01,119 --> 00:23:03,520
Speaker 1: the rest of your life. And they did that during

431
00:23:03,560 --> 00:23:08,000
Speaker 1: the highest presidential turnout in American history in twenty twenty.

432
00:23:08,400 --> 00:23:12,400
Speaker 1: And so the idea that well, you know, the party

433
00:23:12,440 --> 00:23:14,600
Speaker 1: in the White House usually suffers in the midterms, that

434
00:23:15,280 --> 00:23:19,640
Speaker 1: is gone. That conventional wisdom is gone, because that enthusiasm

435
00:23:20,160 --> 00:23:24,520
Speaker 1: if you have a you know, a smoothly oiled ballot

436
00:23:24,600 --> 00:23:27,920
Speaker 1: chasing machine, which the Democrats do in almost every swing state,

437
00:23:28,160 --> 00:23:31,159
Speaker 1: that conventional wisdom is gone because their turnout is always

438
00:23:31,240 --> 00:23:34,080
Speaker 1: going to be the floor of what it was if

439
00:23:34,119 --> 00:23:35,960
Speaker 1: twenty twenty was the floor, and that was a pretty

440
00:23:36,040 --> 00:23:39,680
Speaker 1: damn high turnout election. So all these pundits said that

441
00:23:40,040 --> 00:23:42,960
Speaker 1: conservatives were going to crush it Republicans were going to

442
00:23:43,000 --> 00:23:47,359
Speaker 1: crush it in the midterms, Conservatives didn't, and in the

443
00:23:47,400 --> 00:23:50,080
Speaker 1: state like Pennsylvania, we end up, you know, electing a

444
00:23:50,160 --> 00:23:53,360
Speaker 1: turn up in John Fetterman. So what happened.

445
00:23:53,960 --> 00:23:55,440
Speaker 2: Yeah, there are a couple of things.

446
00:23:55,480 --> 00:23:58,240
Speaker 3: And it's almost like you really can't talk about twenty

447
00:23:58,280 --> 00:24:02,160
Speaker 3: twenty two unless you talk about twenty because they completely

448
00:24:02,280 --> 00:24:06,000
Speaker 3: changed the nature of American elections and Republicans went into

449
00:24:06,040 --> 00:24:08,199
Speaker 3: this thing thinking it was a game of persuasion. The

450
00:24:08,320 --> 00:24:12,360
Speaker 3: numbers looked good, all of the ingredients for a red

451
00:24:12,400 --> 00:24:16,639
Speaker 3: wave were there, and basically the infrastructure that Democrats had

452
00:24:16,680 --> 00:24:19,440
Speaker 3: in place from twenty twenty which was not pushed back,

453
00:24:20,040 --> 00:24:22,480
Speaker 3: which was not rolled back. You know, there was a

454
00:24:22,520 --> 00:24:24,560
Speaker 3: fight over whether or not we should even bother talking

455
00:24:24,600 --> 00:24:28,000
Speaker 3: about it, right that they carried forward and while they

456
00:24:28,000 --> 00:24:32,080
Speaker 3: didn't harvest eighty one million votes across the country, they

457
00:24:32,119 --> 00:24:35,680
Speaker 3: harvested them when where they needed to, and Republicans wound

458
00:24:35,760 --> 00:24:38,639
Speaker 3: up winning the popular vote but barely taking the House,

459
00:24:38,960 --> 00:24:44,360
Speaker 3: and underperformance in the Senate is an understatement.

460
00:24:44,800 --> 00:24:47,280
Speaker 2: It blew it badly. Scott.

461
00:24:47,320 --> 00:24:49,560
Speaker 3: I'm you know, I'm a little bit surprised that somebody

462
00:24:49,560 --> 00:24:51,400
Speaker 3: take somebody like Hershelle Walker and Georgia.

463
00:24:51,760 --> 00:24:53,440
Speaker 2: It still was really really.

464
00:24:53,200 --> 00:24:55,960
Speaker 3: Close, even though Warnock was paying forty dollars an hour

465
00:24:56,000 --> 00:24:58,320
Speaker 3: to go out and harvest ballots and Walker was not,

466
00:24:58,800 --> 00:25:00,600
Speaker 3: and Republicans didn't see that.

467
00:25:00,840 --> 00:25:02,800
Speaker 2: They got completely blindsided by it.

468
00:25:03,480 --> 00:25:07,360
Speaker 3: But there really does need to be some plan moving forward,

469
00:25:07,359 --> 00:25:10,480
Speaker 3: because you said, it's the floor, it's the truth, and

470
00:25:10,520 --> 00:25:14,439
Speaker 3: we're seeing that's in place. So taking in consideration that

471
00:25:14,440 --> 00:25:18,960
Speaker 3: that infrastructure is still in place, we're seeing ridiculous, unprecedented

472
00:25:19,080 --> 00:25:22,159
Speaker 3: levels of people. Percentages of people are telling us in

473
00:25:22,200 --> 00:25:25,440
Speaker 3: twenty twenty four, I'm certain I'm going to vote. Normally

474
00:25:25,440 --> 00:25:28,200
Speaker 3: we're in the sixties right now, maybe you know, sixty

475
00:25:28,240 --> 00:25:31,240
Speaker 3: two percent would say I'm certain to vote. We're already

476
00:25:31,280 --> 00:25:34,320
Speaker 3: in the seventies. In some places it's eighties. We're going

477
00:25:34,400 --> 00:25:37,639
Speaker 3: to have a monstrous turnout, whether it's harvested or not.

478
00:25:39,119 --> 00:25:42,200
Speaker 3: And that's why I think, you know, well, I'll leave

479
00:25:42,200 --> 00:25:44,359
Speaker 3: that for another discussion, I guess, or another question, but

480
00:25:44,880 --> 00:25:46,679
Speaker 3: there is no doubt. It was an article in Real

481
00:25:46,720 --> 00:25:48,920
Speaker 3: Clear Politics a couple of days ago, and they nailed it.

482
00:25:49,080 --> 00:25:51,639
Speaker 3: Democrats had that where they needed to have it, and

483
00:25:51,720 --> 00:25:56,199
Speaker 3: normally pundits thinking that Republicans have a more efficient midterm vote,

484
00:25:56,240 --> 00:25:59,640
Speaker 3: they're more enthusiastic, they're voters voted higher turnouts, and off

485
00:25:59,680 --> 00:26:02,680
Speaker 3: cycle elections, all of that went by the wayside because

486
00:26:02,680 --> 00:26:05,040
Speaker 3: Democrats still had this infrastructure.

487
00:26:04,400 --> 00:26:06,840
Speaker 2: In place, and they do it through third parties. By

488
00:26:06,840 --> 00:26:09,399
Speaker 2: the way, It's not done through the DNC. You know.

489
00:26:09,440 --> 00:26:11,960
Speaker 3: So you have Rona McDaniel out there talking on Hannity,

490
00:26:12,200 --> 00:26:15,760
Speaker 3: I need money to build this infrastructure. Democrats didn't build

491
00:26:15,760 --> 00:26:18,160
Speaker 3: it through the DNC. So I don't know how at

492
00:26:18,160 --> 00:26:20,800
Speaker 3: this point this lead in the game, the RNC would

493
00:26:20,800 --> 00:26:23,080
Speaker 3: even think that they could catch up. This has to

494
00:26:23,119 --> 00:26:26,120
Speaker 3: be done through third party entities because they know their

495
00:26:26,160 --> 00:26:30,600
Speaker 3: areas better than any national organization. You know, potentially good,

496
00:26:31,560 --> 00:26:35,040
Speaker 3: But again, Sean, that's the that really is the kicker,

497
00:26:35,119 --> 00:26:37,840
Speaker 3: is that the all of the ingredients.

498
00:26:37,800 --> 00:26:41,080
Speaker 2: It was there they you know, they all they had.

499
00:26:40,880 --> 00:26:44,560
Speaker 3: To do was realize what happened in twenty and adjust

500
00:26:44,600 --> 00:26:47,600
Speaker 3: how they think about winning elections because it's no longer

501
00:26:47,640 --> 00:26:50,840
Speaker 3: a game of persuasion. Like I said before, when early

502
00:26:50,960 --> 00:26:54,760
Speaker 3: votes starts, it's like you know, a race at the Olympics.

503
00:26:54,800 --> 00:26:57,439
Speaker 3: The gun goes off and it's the chase to go

504
00:26:57,480 --> 00:26:58,440
Speaker 3: get those ballots.

505
00:26:58,280 --> 00:27:00,640
Speaker 2: It's a race to harvest.

506
00:27:00,359 --> 00:27:02,959
Speaker 3: As many balance as you can, and Republicans didn't do it,

507
00:27:03,040 --> 00:27:06,440
Speaker 3: with the exception of some congressional candidates who actually did

508
00:27:06,440 --> 00:27:06,680
Speaker 3: see it.

509
00:27:06,920 --> 00:27:08,720
Speaker 2: Mark Molinar a great job on.

510
00:27:08,680 --> 00:27:10,679
Speaker 3: The ground, you know, somebody like that, But for the

511
00:27:10,680 --> 00:27:13,680
Speaker 3: most part, nationally it was bad.

512
00:27:14,119 --> 00:27:17,640
Speaker 1: I mean, you're exactly right on you're exactly right rich

513
00:27:17,800 --> 00:27:21,199
Speaker 1: on so many different points from the DNC not actually

514
00:27:21,200 --> 00:27:24,280
Speaker 1: doing it themselves but working with third party groups or

515
00:27:25,680 --> 00:27:29,479
Speaker 1: nonprofits to get the job done. And you talk about

516
00:27:29,840 --> 00:27:32,879
Speaker 1: it being a race and persuasion not being you know,

517
00:27:33,440 --> 00:27:36,359
Speaker 1: that big of a thing anymore, because really it's just

518
00:27:36,400 --> 00:27:38,320
Speaker 1: a matter of like in a state like Pennsylvania, where

519
00:27:38,320 --> 00:27:40,280
Speaker 1: you have sixty seven counties, divide that down to the

520
00:27:40,280 --> 00:27:44,080
Speaker 1: precinct level. The Democrats are so surgical that they'll say, Okay,

521
00:27:44,119 --> 00:27:47,119
Speaker 1: we need, you know, X number of ballots from this

522
00:27:47,280 --> 00:27:49,159
Speaker 1: precinct in order for us to win. And they have

523
00:27:49,359 --> 00:27:52,119
Speaker 1: that down at the precinc level all across the state.

524
00:27:52,600 --> 00:27:55,159
Speaker 1: And so if you've got an Excel document, you know

525
00:27:55,480 --> 00:27:58,959
Speaker 1: it's not necessarily about running millions of dollars worth of commercials,

526
00:27:59,000 --> 00:28:01,399
Speaker 1: even though the Democrats still do that because they don't

527
00:28:01,400 --> 00:28:05,040
Speaker 1: want for money or donations or contributions from their side.

528
00:28:05,400 --> 00:28:08,960
Speaker 1: It's not about even necessarily getting on a debate stage.

529
00:28:08,520 --> 00:28:11,200
Speaker 1: It's not about any of that. It's not about persuasion.

530
00:28:11,200 --> 00:28:14,760
Speaker 1: It's about playing the game better. And you know, proof

531
00:28:15,080 --> 00:28:17,640
Speaker 1: positive of this point, Rich was in the twenty twenty

532
00:28:17,640 --> 00:28:22,680
Speaker 1: two race with Fetterman versus Oz in the debate one debate, right,

533
00:28:22,960 --> 00:28:26,080
Speaker 1: But by the time that debate had taken place, John

534
00:28:26,160 --> 00:28:29,920
Speaker 1: Fetterman already had like four hundred and seventy five thousand

535
00:28:30,000 --> 00:28:33,560
Speaker 1: early votes cast form, which it's a separate conversation, and

536
00:28:33,560 --> 00:28:36,439
Speaker 1: I think it ultimately an indictment on early voting because

537
00:28:36,760 --> 00:28:39,440
Speaker 1: how many of those people would have likely changed their

538
00:28:39,560 --> 00:28:43,360
Speaker 1: vote or voted, you know, voted for somebody different if

539
00:28:43,400 --> 00:28:45,960
Speaker 1: they knew Fetterman was in the cognitive state that he was.

540
00:28:46,360 --> 00:28:49,960
Speaker 1: You know, so Republicans for the longest time, and I

541
00:28:50,000 --> 00:28:52,000
Speaker 1: say this as somebody who's been there on the ground

542
00:28:52,000 --> 00:28:55,080
Speaker 1: and run campaigns as an outsider, I can tell you

543
00:28:55,160 --> 00:29:00,560
Speaker 1: that Republicans focus on running campaigns and still that mindset,

544
00:29:00,560 --> 00:29:04,520
Speaker 1: this hasn't changed. They focus on running great campaigns. Some do,

545
00:29:04,920 --> 00:29:09,000
Speaker 1: some don't. But what Democrats focus on is winning elections

546
00:29:09,040 --> 00:29:12,920
Speaker 1: and election law changes in each state. So to your point,

547
00:29:12,960 --> 00:29:15,800
Speaker 1: these laws are changing all the time. And for the

548
00:29:15,840 --> 00:29:19,280
Speaker 1: longest time, it was Mark Elias that the DNC attorney

549
00:29:19,520 --> 00:29:22,040
Speaker 1: who was leading the charge on redistricting and other election

550
00:29:22,160 --> 00:29:27,120
Speaker 1: laws in different battleground states. Republicans did not have an

551
00:29:27,160 --> 00:29:29,800
Speaker 1: answer for that, not an answer at all. And again

552
00:29:30,160 --> 00:29:32,320
Speaker 1: here in Pennsylvania was ground zero for that. In this

553
00:29:32,400 --> 00:29:35,920
Speaker 1: latest redistricting, you know, Mark Elias had filed a motion

554
00:29:36,120 --> 00:29:39,040
Speaker 1: to challenge the map that was drawn in the Pennsylvania legislature,

555
00:29:39,080 --> 00:29:42,000
Speaker 1: which was the constitute according to our constitution, the constitutional

556
00:29:42,040 --> 00:29:46,040
Speaker 1: way to draw a redistricting map through the legislature get

557
00:29:46,040 --> 00:29:49,840
Speaker 1: it approved by the court. Mark Elias filed an emergency motion,

558
00:29:49,920 --> 00:29:51,760
Speaker 1: a King's bench petition for them to take it up

559
00:29:51,760 --> 00:29:53,880
Speaker 1: at the Pennsylvania Supreme Court. And even though that was

560
00:29:53,920 --> 00:29:56,840
Speaker 1: struck down, he still had an opportunity to address it

561
00:29:56,840 --> 00:29:59,200
Speaker 1: with the Pennsylvania Supreme Court prior to the twenty twenty

562
00:29:59,200 --> 00:30:02,480
Speaker 1: two cycle. And guess who's map. The radical Pennsylvania Supreme

563
00:30:02,520 --> 00:30:05,720
Speaker 1: Court adopted his map, the Carter Map, which was a

564
00:30:05,760 --> 00:30:08,480
Speaker 1: Democrat jerrymander. Although you didn't hear that talked about on

565
00:30:08,520 --> 00:30:11,120
Speaker 1: the media at all. The point I'm trying to make

566
00:30:11,240 --> 00:30:14,680
Speaker 1: is the Democrats never sleep when it comes to this stuff, Rich,

567
00:30:15,040 --> 00:30:17,600
Speaker 1: This is all they do. They have people that are

568
00:30:17,640 --> 00:30:20,240
Speaker 1: dedicated this twenty four hours a day, seven days a week.

569
00:30:20,400 --> 00:30:22,920
Speaker 1: Yet you have Ron McDaniel on Hannity saying I need

570
00:30:22,960 --> 00:30:25,840
Speaker 1: money to set up these organizations just like, by the way,

571
00:30:27,080 --> 00:30:29,800
Speaker 1: one hundred percent, right, Rich, It's already too late for

572
00:30:29,840 --> 00:30:32,040
Speaker 1: twenty twenty four. It's already too late.

573
00:30:32,760 --> 00:30:34,680
Speaker 3: Especially if you're going to try to do it in

574
00:30:34,720 --> 00:30:35,920
Speaker 3: a centralized way that.

575
00:30:35,840 --> 00:30:36,800
Speaker 2: She's talking about.

576
00:30:37,000 --> 00:30:40,080
Speaker 3: So a lot of these groups in twenty twenty, when

577
00:30:40,120 --> 00:30:42,800
Speaker 3: we look back at all of this, these were third

578
00:30:42,840 --> 00:30:45,400
Speaker 3: party groups. And this the donor element to this is

579
00:30:45,440 --> 00:30:47,760
Speaker 3: big as well, which is that if you go to

580
00:30:47,840 --> 00:30:51,760
Speaker 3: a Republican donor and say, you know, listen, we need

581
00:30:51,800 --> 00:30:54,959
Speaker 3: a half a million dollars to start to boot just

582
00:30:55,000 --> 00:30:57,640
Speaker 3: to clean some voter rolls in this area. Exactly make

583
00:30:57,680 --> 00:31:00,520
Speaker 3: sure that this database latency problem the R and C

584
00:31:00,720 --> 00:31:03,560
Speaker 3: has is fixed just in this particular.

585
00:31:03,760 --> 00:31:05,400
Speaker 2: Forget about nationwide.

586
00:31:05,400 --> 00:31:08,560
Speaker 3: That's not even a task you can comprehend yet, but

587
00:31:08,640 --> 00:31:11,000
Speaker 3: you have to start in these areas. You know, Joe

588
00:31:11,040 --> 00:31:13,840
Speaker 3: Biden won the election with seven counties, folks, that's it.

589
00:31:14,560 --> 00:31:17,840
Speaker 3: Seven counties won him the election. So they should have

590
00:31:17,880 --> 00:31:21,360
Speaker 3: been all over this already, and instead they're still having

591
00:31:21,360 --> 00:31:24,680
Speaker 3: the same tired arguments, and donors are still giving for

592
00:31:24,800 --> 00:31:26,680
Speaker 3: things like, let's face it, you know, I want to

593
00:31:26,680 --> 00:31:28,720
Speaker 3: be able to call the candidate, so it's an access

594
00:31:28,720 --> 00:31:31,280
Speaker 3: to contribution, or I'm going to start a pack that

595
00:31:31,360 --> 00:31:34,520
Speaker 3: does this to back that guy maybe runs ads. That

596
00:31:34,640 --> 00:31:37,400
Speaker 3: is not how you win elections anymore. Then they're going

597
00:31:37,440 --> 00:31:40,680
Speaker 3: to waste their money on that stuff instead of building

598
00:31:40,720 --> 00:31:42,960
Speaker 3: the It's not even to get out the vote. It's

599
00:31:43,000 --> 00:31:47,240
Speaker 3: something totally new. It's it is a gathering infrastructure. It's

600
00:31:47,280 --> 00:31:50,640
Speaker 3: a gather the vote, not get out the vote. And

601
00:31:50,720 --> 00:31:52,280
Speaker 3: donors don't want to hear it. And I can tell

602
00:31:52,280 --> 00:31:56,880
Speaker 3: you that from experience. They don't yet understand what what

603
00:31:57,040 --> 00:32:02,040
Speaker 3: Democratic donors do. Democratic donors, Mega donors, they'll get their

604
00:32:02,080 --> 00:32:02,760
Speaker 3: check book out in.

605
00:32:02,720 --> 00:32:03,520
Speaker 2: A second, Shohn.

606
00:32:03,760 --> 00:32:05,760
Speaker 3: If you come to them with a plan this is

607
00:32:05,800 --> 00:32:08,840
Speaker 3: how I'm going to harvest an additional thirty thousand votes

608
00:32:09,080 --> 00:32:11,800
Speaker 3: in this county, then they will get their checkbook out

609
00:32:11,880 --> 00:32:14,440
Speaker 3: and make it happen. Not Republicans. And that's going to

610
00:32:14,480 --> 00:32:16,560
Speaker 3: have to change if Republicans want to be competitive.

611
00:32:17,400 --> 00:32:19,000
Speaker 2: But yeah, and then also.

612
00:32:19,760 --> 00:32:23,040
Speaker 3: I can't say enough about the database latency. I have

613
00:32:23,120 --> 00:32:25,120
Speaker 3: taken a lot of flak as a polse they're working

614
00:32:25,160 --> 00:32:26,280
Speaker 3: with left wing vendors.

615
00:32:26,680 --> 00:32:28,280
Speaker 2: Well, their data is better.

616
00:32:28,840 --> 00:32:30,960
Speaker 3: So I want to have the most accurate poll that

617
00:32:31,040 --> 00:32:34,760
Speaker 3: I can possibly conduct. I'm going to work with the

618
00:32:34,840 --> 00:32:37,880
Speaker 3: vendors that have the more accurate data. I'm not going

619
00:32:37,960 --> 00:32:40,360
Speaker 3: to sit there and every ten calls I make get

620
00:32:40,360 --> 00:32:41,120
Speaker 3: the wrong person.

621
00:32:41,560 --> 00:32:43,560
Speaker 2: Tell you know, so, that's how bad.

622
00:32:43,680 --> 00:32:47,280
Speaker 3: It's become an increasing problem with Republican campaigns calling Big

623
00:32:47,360 --> 00:32:49,720
Speaker 3: Data poll emailing us over at Big Data Pole, Hey

624
00:32:49,720 --> 00:32:51,480
Speaker 3: can you scrub our lists? You know, and we do

625
00:32:51,560 --> 00:32:54,200
Speaker 3: what are called matches, and we may find an address

626
00:32:54,280 --> 00:32:56,320
Speaker 3: and say, you know, so and so moved out here

627
00:32:56,360 --> 00:32:59,640
Speaker 3: four years ago, this is now this person, and we'll

628
00:32:59,680 --> 00:33:03,120
Speaker 3: fix that. Is becoming an increasing, uh, you know, an

629
00:33:03,120 --> 00:33:06,160
Speaker 3: increasing job that we do that we never intended to do.

630
00:33:06,520 --> 00:33:09,880
Speaker 3: And that's because of how bad Republican latency issues are.

631
00:33:10,160 --> 00:33:10,960
Speaker 2: It's it's incredible.

632
00:33:11,000 --> 00:33:17,240
Speaker 1: I mean, you're exactly right with Republican donors. And I've

633
00:33:17,280 --> 00:33:20,400
Speaker 1: seen it again. I've seen it myself firsthand, you know,

634
00:33:20,560 --> 00:33:25,760
Speaker 1: And what I see is Republican donors like to see

635
00:33:25,880 --> 00:33:28,680
Speaker 1: how their money is being spent. You know, it was

636
00:33:28,720 --> 00:33:31,719
Speaker 1: my always, it was always like my personal rule that

637
00:33:31,760 --> 00:33:34,280
Speaker 1: eighty five percent of every nickel that I raised went

638
00:33:34,280 --> 00:33:36,600
Speaker 1: to running a campaign. That meant getting commercials on TV,

639
00:33:36,720 --> 00:33:39,840
Speaker 1: sending out mail, redoing things that to reach voters, not

640
00:33:39,920 --> 00:33:44,160
Speaker 1: to going not going to some like high paid consulting firm,

641
00:33:44,320 --> 00:33:48,440
Speaker 1: not to insane operational uh, insane operational cost with staff.

642
00:33:48,880 --> 00:33:52,160
Speaker 1: Like as anybody that's worked for my campaign would tell you,

643
00:33:52,200 --> 00:33:56,120
Speaker 1: we had so many volunteers that were just ready, willing,

644
00:33:56,240 --> 00:34:00,040
Speaker 1: able and enthused to actually work with the campaign. But

645
00:34:00,040 --> 00:34:02,200
Speaker 1: a lot of these donors rich, they want to see

646
00:34:02,240 --> 00:34:05,480
Speaker 1: their money spent on commercials. And the simple fact of

647
00:34:05,480 --> 00:34:07,960
Speaker 1: the matter is in a state like Pennsylvania where Republicans

648
00:34:07,960 --> 00:34:11,120
Speaker 1: are running, like I think, we were still down to

649
00:34:11,200 --> 00:34:14,799
Speaker 1: the Democrats by four hundred and fifty thousand voter registrations.

650
00:34:14,840 --> 00:34:19,320
Speaker 1: I mean, the Democrats don't need a single Republican vote

651
00:34:19,680 --> 00:34:21,840
Speaker 1: to win in the state of Pennsylvania, that's right, And

652
00:34:21,920 --> 00:34:27,840
Speaker 1: yet the Republicans have zero voter registration operation taking place.

653
00:34:28,280 --> 00:34:30,040
Speaker 1: And I mean like there are some there are some

654
00:34:30,080 --> 00:34:32,279
Speaker 1: groups out there doing you know, a little here, a

655
00:34:32,320 --> 00:34:35,920
Speaker 1: little there, but there's not a concerted effort to close

656
00:34:35,960 --> 00:34:39,960
Speaker 1: the voter registration deficit whatsoever. And so if I went

657
00:34:40,000 --> 00:34:43,200
Speaker 1: to a GOP mega donor and I said, I need,

658
00:34:43,440 --> 00:34:46,000
Speaker 1: you know, five hundred thousand dollars to narrow the voter

659
00:34:46,080 --> 00:34:49,080
Speaker 1: registration deficit one year from now by fifty thousand, they

660
00:34:49,080 --> 00:34:53,759
Speaker 1: would probably say no because it's really really difficult, unsexy

661
00:34:53,800 --> 00:34:56,440
Speaker 1: work and it's hard to see a bang for your

662
00:34:56,440 --> 00:35:01,279
Speaker 1: buck there, and perfectly state Democrats donors don't worry about that.

663
00:35:01,520 --> 00:35:06,840
Speaker 1: The Democrats never want for money. And it's again seeing

664
00:35:07,560 --> 00:35:10,680
Speaker 1: a fourth generation from Pennsylvania. I know this state better

665
00:35:10,680 --> 00:35:14,600
Speaker 1: than anybody else that lives here. It's unbelievably complicated to

666
00:35:14,640 --> 00:35:17,560
Speaker 1: run a campaign here just because you have blue collar Allegheny,

667
00:35:17,719 --> 00:35:20,760
Speaker 1: you have Union Democrats who are by and large switching

668
00:35:20,800 --> 00:35:23,480
Speaker 1: to the GOP if they have the right message. You

669
00:35:23,560 --> 00:35:25,560
Speaker 1: have one point two million independents in this state that

670
00:35:25,600 --> 00:35:27,640
Speaker 1: you have to make the case for. And then you've

671
00:35:27,680 --> 00:35:31,080
Speaker 1: got Republicans who are fractured between you know, America First

672
00:35:31,120 --> 00:35:33,319
Speaker 1: Republicans and more traditional Republicans, which I want to get

673
00:35:33,320 --> 00:35:37,880
Speaker 1: into your latest calling out about that. But the GOP

674
00:35:38,640 --> 00:35:42,520
Speaker 1: just seems like we're behind the curve on so many

675
00:35:42,600 --> 00:35:45,960
Speaker 1: different things. It's like the definition of insanity, you know,

676
00:35:46,640 --> 00:35:49,439
Speaker 1: you know, keep doing the same thing over and over again,

677
00:35:49,520 --> 00:35:53,560
Speaker 1: yet we expect a different result. And what's upsetting to me,

678
00:35:53,760 --> 00:35:58,239
Speaker 1: Rich is that in twenty twenty two we had just

679
00:35:58,560 --> 00:36:02,160
Speaker 1: amazing candidates and we talk about you hear a lot

680
00:36:02,200 --> 00:36:05,520
Speaker 1: of these you know, traditional pundits talk about candidate quality

681
00:36:05,560 --> 00:36:08,680
Speaker 1: as if that's the only thing that matters, and juxtaposed

682
00:36:08,719 --> 00:36:11,160
Speaker 1: to that, at the same time, if they're anti Trump,

683
00:36:11,200 --> 00:36:13,560
Speaker 1: it's like, well, look at all these Trump endorsed candidates

684
00:36:13,600 --> 00:36:15,960
Speaker 1: who lost. That's all Trump does is lose. Well, that's

685
00:36:15,960 --> 00:36:19,200
Speaker 1: a bunch of bs two. Because if you look at

686
00:36:19,200 --> 00:36:22,840
Speaker 1: somebody like Carry Lake, who I think is immensely talented,

687
00:36:23,080 --> 00:36:26,480
Speaker 1: I think if Americopa County actually conducted their elections in

688
00:36:26,520 --> 00:36:29,560
Speaker 1: a lawful way, she would be the governor of Arizona,

689
00:36:30,040 --> 00:36:33,840
Speaker 1: no questions asked. Like what they did Americopa County is disgraceful.

690
00:36:34,120 --> 00:36:36,120
Speaker 1: But I mean, I think you could make the argument

691
00:36:36,160 --> 00:36:39,200
Speaker 1: of Kerry Lake being a America first Trump Republican. Is

692
00:36:39,239 --> 00:36:39,680
Speaker 1: that fair?

693
00:36:40,320 --> 00:36:43,040
Speaker 3: Yeah, it is, And I you know, I meant one

694
00:36:43,120 --> 00:36:45,879
Speaker 3: hundred percent agreed with what you said. I've testified at

695
00:36:45,880 --> 00:36:49,760
Speaker 3: her original trial because I sean, I have never, as upholster,

696
00:36:49,880 --> 00:36:52,960
Speaker 3: seen what I saw. You know, and you're instructed to

697
00:36:53,000 --> 00:36:56,799
Speaker 3: give you know your response, because we conduct exit poles

698
00:36:56,840 --> 00:36:59,640
Speaker 3: as well, and I've I've conducted exit poles all over

699
00:36:59,680 --> 00:37:02,759
Speaker 3: the cont never saw what I saw, which was this

700
00:37:03,000 --> 00:37:06,360
Speaker 3: major disparacy and disparity in the completion rate with people

701
00:37:06,360 --> 00:37:09,239
Speaker 3: who voted early, even if it was in personal they

702
00:37:09,320 --> 00:37:12,000
Speaker 3: dropped it off, and those who voted on election day.

703
00:37:12,280 --> 00:37:14,520
Speaker 3: And what I was trying to explain to the judge

704
00:37:14,520 --> 00:37:18,360
Speaker 3: is there is no reason why ninety plus percent of

705
00:37:18,480 --> 00:37:23,160
Speaker 3: early voters completed their questionnaire, but seventy plus or seventy

706
00:37:23,520 --> 00:37:25,959
Speaker 3: actually I think it was seventy one on the dot

707
00:37:26,360 --> 00:37:30,440
Speaker 3: of election day voters completed their questionnaire other than they

708
00:37:30,480 --> 00:37:33,719
Speaker 3: intended to vote but didn't vote, could not vote, And

709
00:37:33,760 --> 00:37:37,719
Speaker 3: that has got to mean something. You can't just by

710
00:37:37,760 --> 00:37:41,080
Speaker 3: the way we were hearing fifteen minutes after the polls close,

711
00:37:41,360 --> 00:37:44,279
Speaker 3: we were hearing from people in the exit pole I

712
00:37:44,400 --> 00:37:47,479
Speaker 3: tried to vote before. Where this is crazy. Something's going wrong.

713
00:37:47,520 --> 00:37:49,600
Speaker 3: The machines are down. I've got to go to work.

714
00:37:49,680 --> 00:37:52,279
Speaker 3: Maybe I'll come back later, and they never came back Seawan.

715
00:37:52,680 --> 00:37:56,880
Speaker 3: So what happened in Maricopa was third world disgraceful. I

716
00:37:56,920 --> 00:37:59,680
Speaker 3: would never testify at a trial like that. I never

717
00:37:59,719 --> 00:38:02,520
Speaker 3: even have thought that i'd be, you know, somebody who

718
00:38:02,520 --> 00:38:03,799
Speaker 3: had a role in something like that.

719
00:38:03,840 --> 00:38:06,400
Speaker 2: And I certainly don't want to be a court expert ever,

720
00:38:06,719 --> 00:38:07,000
Speaker 2: you know.

721
00:38:07,080 --> 00:38:08,680
Speaker 1: But I did.

722
00:38:09,360 --> 00:38:12,359
Speaker 2: I did it because the people.

723
00:38:12,640 --> 00:38:15,640
Speaker 3: Who were on the other end of that phone, it's

724
00:38:15,960 --> 00:38:20,879
Speaker 3: they just it's so it's so frustrating, discrebe and so so.

725
00:38:20,880 --> 00:38:23,440
Speaker 1: So it's fair to you to say Carrie Lake is

726
00:38:23,560 --> 00:38:28,400
Speaker 1: an America first Trump Republican. Well, yes she is. And

727
00:38:28,440 --> 00:38:30,880
Speaker 1: so let me let me Adam Laxalt. I like, I

728
00:38:30,920 --> 00:38:33,359
Speaker 1: love Adam Laxalt. He's a great guy. I mean, many

729
00:38:33,360 --> 00:38:36,640
Speaker 1: people would say that Adam Laxalt is a more establishment

730
00:38:36,680 --> 00:38:41,239
Speaker 1: Republican now from Nevada, carry Lake from Arizona, obviously two

731
00:38:41,360 --> 00:38:46,600
Speaker 1: different states, but they both came up short. So is

732
00:38:46,680 --> 00:38:50,279
Speaker 1: this really or should the Republican Party or any of

733
00:38:50,280 --> 00:38:55,440
Speaker 1: our pundits be talking about candidate quality or Trump candidate

734
00:38:55,520 --> 00:38:59,640
Speaker 1: versus more establishment candidate when I I think again, obviously

735
00:38:59,719 --> 00:39:02,360
Speaker 1: can quality matters a little bit, But I think playing

736
00:39:02,440 --> 00:39:06,719
Speaker 1: the game is so much more important and focusing on

737
00:39:07,040 --> 00:39:10,040
Speaker 1: winning election, having a good ground game, ballot chasing operation.

738
00:39:10,600 --> 00:39:14,239
Speaker 1: Look at John Fetterman, candidate quality didn't matter. What's go

739
00:39:14,400 --> 00:39:17,680
Speaker 1: on with John Fetterman? Right? Look at Joe Biden. Candidate

740
00:39:17,760 --> 00:39:21,840
Speaker 1: quality did not matter. Those two people are proof that

741
00:39:22,160 --> 00:39:26,480
Speaker 1: it's about playing the game, it's about the system. Right.

742
00:39:27,239 --> 00:39:30,640
Speaker 3: And oday, by the way, senate candidate in Colorado was

743
00:39:30,719 --> 00:39:33,760
Speaker 3: not a Trump guy. In fact, you know, a distance

744
00:39:33,840 --> 00:39:37,600
Speaker 3: himself quite a bit, and he got creamed worse than

745
00:39:38,239 --> 00:39:40,920
Speaker 3: we have been beaten in that state in a long time.

746
00:39:41,320 --> 00:39:46,120
Speaker 3: So in a cycle that was supposed to have favored Republicans, right, Republicans,

747
00:39:46,160 --> 00:39:50,640
Speaker 3: so so much for that, And there were congressional candidates

748
00:39:50,680 --> 00:39:52,759
Speaker 3: as well that you could make that comparison to Alan

749
00:39:52,840 --> 00:39:55,799
Speaker 3: Fung did not win Rhode Island too, Can I get five?

750
00:39:55,960 --> 00:39:58,040
Speaker 2: Was lost? I mean we could just go down the board.

751
00:39:58,480 --> 00:40:02,120
Speaker 3: You know, there were more traditionalists and and maga Republicans

752
00:40:02,160 --> 00:40:05,239
Speaker 3: that lost, and there's another reason that they lost. And

753
00:40:05,320 --> 00:40:08,279
Speaker 3: what you're pointing out years ago, when I was talking

754
00:40:08,320 --> 00:40:10,640
Speaker 3: telling you about, you know, developing those models for fun

755
00:40:10,719 --> 00:40:14,719
Speaker 3: like a dork, candidate quality used to mean a lot more, right,

756
00:40:14,800 --> 00:40:18,640
Speaker 3: because it meant what's their repeal, how well can they fundraise?

757
00:40:18,760 --> 00:40:21,200
Speaker 2: That's what went in our modeling things like that.

758
00:40:21,440 --> 00:40:25,319
Speaker 3: When into candidate quality, I obviously, you know, I mean,

759
00:40:25,320 --> 00:40:28,120
Speaker 3: I don't know how you can argue that candidate quality,

760
00:40:28,120 --> 00:40:29,720
Speaker 3: of course still matters.

761
00:40:29,800 --> 00:40:32,000
Speaker 2: But it's not what it used to be.

762
00:40:32,400 --> 00:40:32,520
Speaker 3: Uh.

763
00:40:32,640 --> 00:40:32,840
Speaker 4: You know.

764
00:40:33,040 --> 00:40:35,600
Speaker 3: The fact of the matter is, you know, Gibbs just

765
00:40:35,640 --> 00:40:38,319
Speaker 3: got be out in Michigan three because he didn't have

766
00:40:38,360 --> 00:40:43,640
Speaker 3: the ground operation that Hillary Schulton had somebody like it

767
00:40:45,000 --> 00:40:48,920
Speaker 3: in Virginia seven, for instance, in Virginia two, they should

768
00:40:49,000 --> 00:40:51,000
Speaker 3: not have been that close in that result. What was

769
00:40:51,040 --> 00:40:54,960
Speaker 3: the difference, Well, one had a robust ballad and harvesting operation,

770
00:40:55,320 --> 00:40:58,319
Speaker 3: the other one did not. Right in Pennsylvania five, where

771
00:40:58,360 --> 00:41:02,840
Speaker 3: you are great candidate David uh not at all, you know,

772
00:41:02,920 --> 00:41:05,880
Speaker 3: to be seen as too, you know, an election denial.

773
00:41:06,239 --> 00:41:09,160
Speaker 3: He has a great veteran story, he had a great biography.

774
00:41:09,360 --> 00:41:12,160
Speaker 3: Candidate quality does not get any better than that. But

775
00:41:12,920 --> 00:41:16,439
Speaker 3: it's hard to do anything again with that. If all

776
00:41:16,600 --> 00:41:19,640
Speaker 3: of the drop boxes are in urban parts of the

777
00:41:19,680 --> 00:41:22,799
Speaker 3: state and Delco and what little bit of Philadelphia you have,

778
00:41:23,320 --> 00:41:26,759
Speaker 3: all of the harvesting operation benefited the Democrats and the

779
00:41:26,760 --> 00:41:28,719
Speaker 3: democratic areas, so it was hard to even make a

780
00:41:28,800 --> 00:41:31,640
Speaker 3: dent there. At the end of the day, it's easy

781
00:41:31,680 --> 00:41:35,320
Speaker 3: to make these claims because it fits an easy media narrative.

782
00:41:35,600 --> 00:41:38,040
Speaker 3: And we're in the middle of a primary, and you know,

783
00:41:38,040 --> 00:41:40,880
Speaker 3: anyone who's not named Trump wants to talk about that

784
00:41:41,040 --> 00:41:44,200
Speaker 3: because you're looking for, you know, an argument to make

785
00:41:44,239 --> 00:41:47,080
Speaker 3: the primary voters why you shouldn't pick Donald Trump. But

786
00:41:47,280 --> 00:41:49,399
Speaker 3: I think that does a disservice to the movement going

787
00:41:49,440 --> 00:41:52,920
Speaker 3: forward because everyone's going to continue to lose. Sean, this

788
00:41:53,000 --> 00:41:56,239
Speaker 3: is what I'm trying to explain to everybody. Everybody is

789
00:41:56,280 --> 00:41:58,920
Speaker 3: going to lose. It doesn't matter if Trump's the candidate,

790
00:41:58,960 --> 00:42:00,960
Speaker 3: it doesn't matter if the same this is a candidate.

791
00:42:01,160 --> 00:42:03,800
Speaker 3: If Republicans don't get their act together, they're going to

792
00:42:03,840 --> 00:42:08,800
Speaker 3: continually come up short with these, you know, very heartbreaking races,

793
00:42:09,280 --> 00:42:12,399
Speaker 3: losses that they in races they should have won. Right.

794
00:42:13,080 --> 00:42:15,440
Speaker 1: I mean, you're yeah, look, yeah, you're exactly right. And

795
00:42:15,440 --> 00:42:17,120
Speaker 1: I want to talk about twenty twenty four in your

796
00:42:17,160 --> 00:42:19,640
Speaker 1: latest polling that just came out today. But DeSantis obviously

797
00:42:19,680 --> 00:42:21,799
Speaker 1: he's going to be declaring for president very very soon.

798
00:42:23,120 --> 00:42:26,480
Speaker 1: Talk about you know, a Republican governor. I like Rond

799
00:42:26,480 --> 00:42:28,960
Speaker 1: de Santis. I think he's been a great governor for Florida.

800
00:42:29,320 --> 00:42:32,239
Speaker 1: He's done things. I mean, you one can even make

801
00:42:32,239 --> 00:42:35,200
Speaker 1: the argument that he's largely responsible for why Republicans have

802
00:42:35,239 --> 00:42:37,239
Speaker 1: a majority in the House of Representatives with the way

803
00:42:37,280 --> 00:42:39,640
Speaker 1: that he took control and took command of redistricting in

804
00:42:39,680 --> 00:42:42,680
Speaker 1: that state. But you know, Ron example.

805
00:42:43,920 --> 00:42:48,319
Speaker 5: For him by the way, yeah, well, you know, if

806
00:42:48,320 --> 00:42:49,960
Speaker 5: you look at Ron DeSantis and what he did in

807
00:42:50,000 --> 00:42:54,320
Speaker 5: Florida is like when Republican governor in power, he changes

808
00:42:54,400 --> 00:42:58,160
Speaker 5: the election law to the point where like he does

809
00:42:58,239 --> 00:43:02,080
Speaker 5: everything that he can to be a great governor, embrace

810
00:43:02,160 --> 00:43:05,160
Speaker 5: the constitution, you know, election integrity.

811
00:43:05,480 --> 00:43:08,360
Speaker 1: He's advanced election integrity measures in the state of Florida.

812
00:43:08,560 --> 00:43:10,840
Speaker 1: And my point is I say all that to say

813
00:43:11,480 --> 00:43:13,799
Speaker 1: it benefited him in the state of Florida. Right, we're

814
00:43:13,800 --> 00:43:17,480
Speaker 1: in the state of Pennsylvania. The situation's completely different. Believe

815
00:43:17,520 --> 00:43:20,759
Speaker 1: you've had a Democrat Democrat governor and Tom Wolfe a

816
00:43:20,840 --> 00:43:25,040
Speaker 1: Democrat governor in Josh Shapiro. They wield the power on

817
00:43:25,480 --> 00:43:28,080
Speaker 1: whether or not we change our system here. So Republicans

818
00:43:28,120 --> 00:43:30,280
Speaker 1: who are sitting back and saying I don't like mail,

819
00:43:30,320 --> 00:43:32,760
Speaker 1: and I don't want to do a ballot chasing operation

820
00:43:32,840 --> 00:43:34,600
Speaker 1: in the state of Pennsylvania. We don't need that. We

821
00:43:34,600 --> 00:43:36,360
Speaker 1: can beat him on enthusiasm, we can beat him on

822
00:43:36,440 --> 00:43:40,319
Speaker 1: election day vote. It's just not the case. We have

823
00:43:40,440 --> 00:43:42,560
Speaker 1: to play the game like they do. We have to

824
00:43:42,600 --> 00:43:44,719
Speaker 1: play it better than they do. Rich and then we

825
00:43:44,760 --> 00:43:46,919
Speaker 1: have to win. We have to take power, and then

826
00:43:47,440 --> 00:43:49,680
Speaker 1: we can change the system, just like Ron DeSantis did

827
00:43:49,680 --> 00:43:50,160
Speaker 1: in Florida.

828
00:43:50,960 --> 00:43:52,279
Speaker 2: Yeah, that's exactly right.

829
00:43:52,320 --> 00:43:54,120
Speaker 3: You got to work with the system that you have,

830
00:43:54,760 --> 00:43:56,759
Speaker 3: right and by the way, I mean, you know, for

831
00:43:56,800 --> 00:44:00,799
Speaker 3: people who dismiss the impact of some of the things

832
00:44:00,800 --> 00:44:04,480
Speaker 3: that you just said, firing and removing Brenda Snipes from

833
00:44:04,480 --> 00:44:07,520
Speaker 3: Broward County, which is a law. Texas Republicans are basically

834
00:44:07,520 --> 00:44:09,920
Speaker 3: trying to give the power to the governor that Ron

835
00:44:09,960 --> 00:44:13,359
Speaker 3: DeSantis and every other governor of Florida has. You look

836
00:44:13,400 --> 00:44:16,480
Speaker 3: at locally in Florida, it's a supervisor of election. This

837
00:44:16,600 --> 00:44:20,240
Speaker 3: person is a continuous problem. There's always questions about fraud

838
00:44:20,320 --> 00:44:24,319
Speaker 3: or irregularities or whatever is going on. Regardless, she has

839
00:44:24,360 --> 00:44:27,520
Speaker 3: a seven thirty deadline to meet a reporting deadline. How

840
00:44:27,600 --> 00:44:29,520
Speaker 3: much mail and vote do you have, how many election

841
00:44:29,680 --> 00:44:32,600
Speaker 3: votes do you have and constantly missing it? You can

842
00:44:32,640 --> 00:44:35,480
Speaker 3: fire her and remove her. This is what they're going

843
00:44:35,560 --> 00:44:37,200
Speaker 3: to give to Texas. It looks like it's going to

844
00:44:37,239 --> 00:44:40,239
Speaker 3: pass if it survives court challenges. But it had a

845
00:44:40,280 --> 00:44:44,160
Speaker 3: major impact because anybody who thinks that the Republicans share

846
00:44:44,320 --> 00:44:48,840
Speaker 3: in Broward County suddenly skyrocketed by double digits when they've.

847
00:44:48,680 --> 00:44:49,880
Speaker 2: Removed Brenda Snipes.

848
00:44:49,880 --> 00:44:55,520
Speaker 4: If you think that's unrelated, you're naive, right, So even Trump,

849
00:44:55,760 --> 00:44:59,200
Speaker 4: even Trump, you know, Republicans would end up with seventeen

850
00:44:59,239 --> 00:45:01,640
Speaker 4: to twenty three percent of the vote share and in

851
00:45:01,719 --> 00:45:05,200
Speaker 4: twenty because he had removed because the Santus had removed

852
00:45:05,400 --> 00:45:06,160
Speaker 4: Brenda Snips.

853
00:45:06,800 --> 00:45:08,279
Speaker 2: I don't think anybody.

854
00:45:08,120 --> 00:45:10,120
Speaker 3: Thought that Trump would get that many votes in Broward

855
00:45:10,160 --> 00:45:12,960
Speaker 3: County or that share of the vote, and he did, right, So,

856
00:45:13,080 --> 00:45:16,400
Speaker 3: I mean, this stuff matters a lot, but you have

857
00:45:16,480 --> 00:45:17,000
Speaker 3: to work.

858
00:45:16,840 --> 00:45:18,879
Speaker 2: With what you have and in your neck of.

859
00:45:18,800 --> 00:45:22,080
Speaker 3: The woods out by you, we were working with races

860
00:45:22,120 --> 00:45:25,080
Speaker 3: and local races to try to make this case and

861
00:45:25,120 --> 00:45:29,040
Speaker 3: to come up with basically experiments that we're running to

862
00:45:29,160 --> 00:45:31,280
Speaker 3: show people it is worth the money.

863
00:45:31,480 --> 00:45:33,319
Speaker 2: So we had those school board races in.

864
00:45:33,320 --> 00:45:36,440
Speaker 3: Central Bucks and we were able to we didn't win it,

865
00:45:36,680 --> 00:45:39,960
Speaker 3: but we were able to increase the share of Republican

866
00:45:40,000 --> 00:45:43,319
Speaker 3: early vote with not By the way, if I had

867
00:45:43,360 --> 00:45:46,200
Speaker 3: my wish list, if everything I would have liked to do,

868
00:45:46,360 --> 00:45:49,600
Speaker 3: they're not very well funded in little races like there

869
00:45:49,600 --> 00:45:51,799
Speaker 3: were local races like that. But if I had my

870
00:45:51,840 --> 00:45:54,640
Speaker 3: wish list, we would have done even better. So, Sean,

871
00:45:54,719 --> 00:45:57,720
Speaker 3: we didn't have to rely on this deluge of election

872
00:45:57,920 --> 00:46:00,680
Speaker 3: day votes to help us, you know, in the prime

873
00:46:00,880 --> 00:46:03,479
Speaker 3: we didn't have to rely on that. We of course

874
00:46:03,520 --> 00:46:06,239
Speaker 3: we wanted it, and we got it, but it was

875
00:46:06,320 --> 00:46:08,800
Speaker 3: the difference, you know, it made a lot of difference.

876
00:46:08,800 --> 00:46:10,920
Speaker 2: When you can increase your early vote by twenty percent,

877
00:46:11,200 --> 00:46:14,320
Speaker 2: it makes a huge difference. So they're working with the

878
00:46:14,400 --> 00:46:15,160
Speaker 2: laws that they.

879
00:46:15,080 --> 00:46:17,560
Speaker 3: Have, and when they you know, put that work in,

880
00:46:17,640 --> 00:46:19,960
Speaker 3: it's going to pay, you know, dividends down down the

881
00:46:20,000 --> 00:46:21,520
Speaker 3: long run, and then you can change the law.

882
00:46:22,120 --> 00:46:25,080
Speaker 1: But right now, right so, you got to talk to

883
00:46:25,120 --> 00:46:27,680
Speaker 1: me about what you see in twenty twenty four. But

884
00:46:27,719 --> 00:46:32,319
Speaker 1: before you do, I will give you my thoughts. Now,

885
00:46:32,680 --> 00:46:35,200
Speaker 1: I think most people would know publicly that that I'm

886
00:46:35,320 --> 00:46:37,480
Speaker 1: a Trump guy. And the answer to that question is yes,

887
00:46:37,520 --> 00:46:42,319
Speaker 1: of course, I am loyalty to me, is shocking. Well,

888
00:46:42,320 --> 00:46:44,920
Speaker 1: it's actually not a thing. It's actually not shocking to me.

889
00:46:44,960 --> 00:46:48,839
Speaker 1: But loyalty really isn't a thing to most people in politics,

890
00:46:49,600 --> 00:46:54,399
Speaker 1: but our party. That's why I think loyalty and politics. Yeah,

891
00:46:54,680 --> 00:46:57,680
Speaker 1: if you want loyalty in politics, Treman said, get a dog, right.

892
00:46:59,719 --> 00:47:01,760
Speaker 1: I understand that. But I think that as a party,

893
00:47:01,800 --> 00:47:04,359
Speaker 1: the Republican Party would be much better off if we

894
00:47:04,360 --> 00:47:07,480
Speaker 1: were more loyal to people who helped us when we

895
00:47:07,520 --> 00:47:09,640
Speaker 1: first started out. President Trump was that to me. He's

896
00:47:09,640 --> 00:47:12,319
Speaker 1: always been good to me. I'm good friends with with

897
00:47:12,360 --> 00:47:16,400
Speaker 1: his sons and his family. So yes, I have President

898
00:47:16,440 --> 00:47:19,879
Speaker 1: Trump's back because of that. But I also I also

899
00:47:20,040 --> 00:47:21,840
Speaker 1: like Ron DeSantis. I don't I don't really have a

900
00:47:21,840 --> 00:47:23,480
Speaker 1: bad thing to say about him other than I will

901
00:47:23,480 --> 00:47:26,359
Speaker 1: say this, I would say it. You know when Ron

902
00:47:27,120 --> 00:47:29,600
Speaker 1: was out there and he was like doing his book

903
00:47:29,640 --> 00:47:32,960
Speaker 1: tour and he was asked about the polling and he said, well,

904
00:47:32,960 --> 00:47:34,799
Speaker 1: I'm not really in the race yet, and I thought like,

905
00:47:35,239 --> 00:47:37,719
Speaker 1: come on, man, yeah, come on, yeah, yes you are.

906
00:47:38,080 --> 00:47:41,400
Speaker 1: I don't like I don't like those political answers. I

907
00:47:41,440 --> 00:47:46,680
Speaker 1: hate that stuff. I hate political gamesmanship. The obvious answer was,

908
00:47:46,719 --> 00:47:48,960
Speaker 1: of course, you're in the race, like you could have

909
00:47:49,000 --> 00:47:50,719
Speaker 1: had a better answer for that. I didn't like the

910
00:47:50,760 --> 00:47:53,320
Speaker 1: idea that he was out there basically campaigning for president

911
00:47:53,400 --> 00:47:55,279
Speaker 1: while on a book tour. A lot of people do

912
00:47:55,360 --> 00:47:57,799
Speaker 1: it like this is just me personally, by the way,

913
00:47:57,840 --> 00:47:59,920
Speaker 1: and I'm not again, I'm not trashing Ron to Sam,

914
00:48:00,239 --> 00:48:05,799
Speaker 1: I'm not. But it looks like President Trump if even

915
00:48:05,840 --> 00:48:10,520
Speaker 1: if you look at the real clear politics average, is

916
00:48:10,560 --> 00:48:12,919
Speaker 1: he running away with this thing. I mean, he's well

917
00:48:12,960 --> 00:48:15,799
Speaker 1: over fifty percent now, yes, and with what like eight

918
00:48:15,840 --> 00:48:17,959
Speaker 1: different people in the race, eight or nine different people

919
00:48:18,000 --> 00:48:19,480
Speaker 1: in the race. I mean, I think the more people

920
00:48:19,480 --> 00:48:21,080
Speaker 1: that are in the race, the more it benefits President

921
00:48:21,120 --> 00:48:25,680
Speaker 1: Trump as well. I mean, it just feels like he's

922
00:48:25,760 --> 00:48:27,600
Speaker 1: running away with it, you know.

923
00:48:27,800 --> 00:48:31,160
Speaker 3: And and again you're allowed, you're allowed to have your opinion.

924
00:48:31,400 --> 00:48:33,560
Speaker 3: Some of these people who you know, if you say

925
00:48:33,600 --> 00:48:36,080
Speaker 3: one bad thing about the governor, they flip out. And

926
00:48:36,080 --> 00:48:39,359
Speaker 3: it's not even a bad thing, it's an observation. Their

927
00:48:40,360 --> 00:48:45,160
Speaker 3: logic that they based this run on is flawed, and

928
00:48:45,200 --> 00:48:46,160
Speaker 3: it has been flawed.

929
00:48:46,280 --> 00:48:48,640
Speaker 2: They have been telling donors about it for a year, which.

930
00:48:48,480 --> 00:48:50,719
Speaker 3: By the way, I don't know if you noticed, but

931
00:48:51,160 --> 00:48:54,520
Speaker 3: we had basically just reported what donors told us a

932
00:48:54,640 --> 00:48:57,840
Speaker 3: year ago, and he was publicly stating he wasn't going

933
00:48:57,880 --> 00:49:00,800
Speaker 3: to run, but the donors were, of course, here Trump

934
00:49:00,840 --> 00:49:04,439
Speaker 3: will be indicted, so you know he's going to sink then.

935
00:49:05,000 --> 00:49:07,759
Speaker 3: And the second one was if I can get him

936
00:49:07,760 --> 00:49:10,239
Speaker 3: one on one, I will beat him. This is the

937
00:49:10,320 --> 00:49:13,680
Speaker 3: problem with you know, and is not everyone's a statitician, Sean,

938
00:49:14,000 --> 00:49:17,520
Speaker 3: but if you're above fifty percent, that argument isn't going

939
00:49:17,560 --> 00:49:18,080
Speaker 3: to work.

940
00:49:18,480 --> 00:49:18,840
Speaker 2: You know that.

941
00:49:19,120 --> 00:49:22,319
Speaker 3: They really believe that a majority of Republican voters were

942
00:49:22,320 --> 00:49:25,160
Speaker 3: ready to move on from Donald Trump, and they looked

943
00:49:25,160 --> 00:49:28,680
Speaker 3: at the environment after the midterms, when everyone was blaming

944
00:49:28,680 --> 00:49:33,840
Speaker 3: Trump for the underperformance, they looked at that and they thought, Okay,

945
00:49:33,880 --> 00:49:34,719
Speaker 3: he's vulnerable.

946
00:49:35,040 --> 00:49:37,400
Speaker 2: This is what we're talking about. Here's evidence.

947
00:49:37,880 --> 00:49:40,759
Speaker 3: Even in our polling and we were less bullish on

948
00:49:40,800 --> 00:49:45,400
Speaker 3: Trump than others until recently we had him with softer support.

949
00:49:45,760 --> 00:49:48,759
Speaker 3: The closest we ever had Trump was at forty three,

950
00:49:48,880 --> 00:49:52,319
Speaker 3: the Santus was at thirty one. Something has changed since then,

951
00:49:52,560 --> 00:49:54,480
Speaker 3: and so you're asking if he's running away with it.

952
00:49:54,920 --> 00:49:57,040
Speaker 3: This is what I would tell people who are saying

953
00:49:57,080 --> 00:50:00,840
Speaker 3: wait till an announcement a They already he was running

954
00:50:01,000 --> 00:50:05,120
Speaker 3: the poll we released in Florida, the voters were very clear,

955
00:50:05,320 --> 00:50:08,200
Speaker 3: I mean, stop, we love you, but don't insult our intelligence.

956
00:50:08,480 --> 00:50:09,200
Speaker 2: We love you as.

957
00:50:09,120 --> 00:50:12,520
Speaker 3: Governor, we want Trump back. Let's just shake hands and

958
00:50:12,600 --> 00:50:15,200
Speaker 3: move on. You're down in your own state, and losing

959
00:50:15,200 --> 00:50:17,399
Speaker 3: a primary in your own state is a career ender.

960
00:50:17,600 --> 00:50:20,760
Speaker 3: It's over for you if that happens, and that looks

961
00:50:20,760 --> 00:50:23,160
Speaker 3: to be Sean like that's going to happen. Trump is

962
00:50:23,200 --> 00:50:26,480
Speaker 3: way ahead in Florida, and at one time DeSantis was

963
00:50:26,600 --> 00:50:29,759
Speaker 3: very close, but it never was because DeSantis had a

964
00:50:29,840 --> 00:50:32,840
Speaker 3: large share of the vote. It was simply because Trump

965
00:50:32,880 --> 00:50:34,520
Speaker 3: had fallen a little bit and there was some people

966
00:50:34,520 --> 00:50:38,080
Speaker 3: who are unsure. I really think this is where this

967
00:50:38,120 --> 00:50:41,640
Speaker 3: is the biggest problem DeSantis has, and I think it's

968
00:50:41,640 --> 00:50:44,840
Speaker 3: going to translate to the other candidates. The war, the

969
00:50:44,920 --> 00:50:47,680
Speaker 3: question over the war in Ukraine is a major issue

970
00:50:47,719 --> 00:50:51,920
Speaker 3: for primary voters. They are non interventionist voters at this point.

971
00:50:52,560 --> 00:50:56,200
Speaker 3: And when Tucker asked Ron DeSantis for that statement and

972
00:50:56,239 --> 00:50:59,640
Speaker 3: he gave what really was a maga statement, the statement

973
00:50:59,680 --> 00:51:02,600
Speaker 3: that you need to put out if you're going to

974
00:51:02,719 --> 00:51:06,520
Speaker 3: run for the Republican presidential nomination, he got flack from donors.

975
00:51:06,800 --> 00:51:09,520
Speaker 3: He got flack from you know, Fox News to media,

976
00:51:10,120 --> 00:51:12,359
Speaker 3: and he flip flopped, and then he didn't know where

977
00:51:12,360 --> 00:51:14,320
Speaker 3: to go. He didn't know where he was, and people

978
00:51:14,320 --> 00:51:17,000
Speaker 3: started dredging up statements about him, saying, we need to

979
00:51:17,000 --> 00:51:20,799
Speaker 3: stop Putin, we have to arm the Ukrainians. There's I mean,

980
00:51:20,800 --> 00:51:23,239
Speaker 3: there's even a letter out there with him pushing then

981
00:51:23,520 --> 00:51:26,759
Speaker 3: Secretary of State John Kerry for the coup. You know,

982
00:51:26,840 --> 00:51:31,160
Speaker 3: so people have this doubt, this trust. He's a great governor,

983
00:51:31,200 --> 00:51:34,800
Speaker 3: but on the national stage, why would we take a

984
00:51:34,920 --> 00:51:38,680
Speaker 3: risk on somebody we don't know, you know, we just

985
00:51:38,719 --> 00:51:40,880
Speaker 3: don't know where he's going to stand on these issues,

986
00:51:41,080 --> 00:51:43,480
Speaker 3: and from what I'm seeing, I don't think I can

987
00:51:43,520 --> 00:51:46,279
Speaker 3: trust him. And it's like they like him, but on

988
00:51:46,440 --> 00:51:49,040
Speaker 3: these issues that really determine who's going to be the

989
00:51:49,080 --> 00:51:50,080
Speaker 3: Republican nominee.

990
00:51:50,400 --> 00:51:52,720
Speaker 2: He lost that trust. And that is the beginning.

991
00:51:52,719 --> 00:51:54,799
Speaker 3: If you go back and look at the trend, the

992
00:51:54,880 --> 00:51:58,800
Speaker 3: Tucker flip flop is the beginning of this Santhasis decline.

993
00:51:59,080 --> 00:52:03,400
Speaker 3: And then, unfortune a week or two later, the indictment happened,

994
00:52:03,440 --> 00:52:06,160
Speaker 3: and he bungled how he handled that, and I think

995
00:52:06,239 --> 00:52:09,600
Speaker 3: that reinforced a lot of pundits and others out there

996
00:52:09,640 --> 00:52:11,959
Speaker 3: were saying that's it, that was the moment he got hurt.

997
00:52:12,080 --> 00:52:12,440
Speaker 2: It's not.

998
00:52:12,880 --> 00:52:15,239
Speaker 3: He was hurt with the statement on Ukraine, and then

999
00:52:15,280 --> 00:52:18,960
Speaker 3: that just reinforced people who kind of went back to unsure,

1000
00:52:19,680 --> 00:52:22,680
Speaker 3: you know, and that when they saw that, they that

1001
00:52:22,840 --> 00:52:26,319
Speaker 3: was a confirmation to them that, ah, man, okay, that's it.

1002
00:52:26,400 --> 00:52:27,240
Speaker 2: I'm back to Trump.

1003
00:52:27,400 --> 00:52:30,319
Speaker 3: So now these are people who are decided, and it's

1004
00:52:30,400 --> 00:52:33,080
Speaker 3: not and we were talking about a game of persuasion,

1005
00:52:33,520 --> 00:52:34,120
Speaker 3: you're no law.

1006
00:52:34,200 --> 00:52:35,320
Speaker 2: It's much more difficult.

1007
00:52:35,360 --> 00:52:37,359
Speaker 3: There's a reason why nobody's ever out of polling lead

1008
00:52:37,480 --> 00:52:39,719
Speaker 3: like Trump and not gone on to be the nomine

1009
00:52:39,800 --> 00:52:43,560
Speaker 3: Hillary Clinton in two thousand and eight never got near

1010
00:52:43,800 --> 00:52:46,960
Speaker 3: Trump's levels, and she only touched fifty in gallop once

1011
00:52:47,239 --> 00:52:50,279
Speaker 3: everyone else had had her around forty. So it's not

1012
00:52:50,320 --> 00:52:53,720
Speaker 3: a comparable example that people keep using. Nobody is lost

1013
00:52:53,719 --> 00:52:56,920
Speaker 3: with Trump's polling levels, and the reason is is simple.

1014
00:52:57,280 --> 00:53:00,880
Speaker 3: You're no longer talking about winning people over. You have

1015
00:53:00,920 --> 00:53:02,160
Speaker 3: to now change their minds.

1016
00:53:03,200 --> 00:53:03,560
Speaker 2: You can't.

1017
00:53:03,640 --> 00:53:05,160
Speaker 3: I mean, this idea you can get him head to

1018
00:53:05,200 --> 00:53:08,319
Speaker 3: head is not true. If you get him had to head,

1019
00:53:08,320 --> 00:53:11,080
Speaker 3: you're gonna lose sixty five thirty five, maybe even worse.

1020
00:53:11,400 --> 00:53:13,800
Speaker 3: You have to change people's minds again.

1021
00:53:14,080 --> 00:53:14,800
Speaker 2: And these are.

1022
00:53:14,680 --> 00:53:18,400
Speaker 3: People who you know, if you ask them, Sean, they said,

1023
00:53:18,560 --> 00:53:22,640
Speaker 3: I was undecided already two months ago. Now I'm decided.

1024
00:53:23,120 --> 00:53:25,480
Speaker 3: I don't know that they're gonna bunch. You know, the

1025
00:53:25,520 --> 00:53:29,000
Speaker 3: old voice of Rush limbaughs in my head. You know,

1026
00:53:29,600 --> 00:53:34,000
Speaker 3: you can't know outside influence is gonna tear these voters

1027
00:53:34,040 --> 00:53:35,000
Speaker 3: away from Trump.

1028
00:53:35,320 --> 00:53:38,000
Speaker 2: Only Trump could do it. And I really think.

1029
00:53:37,880 --> 00:53:39,840
Speaker 3: You know they The truth is, even when he was

1030
00:53:40,040 --> 00:53:43,520
Speaker 3: the lowest he ever was at forty three, their argument

1031
00:53:43,600 --> 00:53:46,799
Speaker 3: was laughable because you're telling me you're gonna present, you're

1032
00:53:46,800 --> 00:53:52,080
Speaker 3: gonna prevent him from getting seven percent, you know, and

1033
00:53:52,160 --> 00:53:56,160
Speaker 3: that's all he was away from fifty. It's an enormous task, Sean.

1034
00:53:56,360 --> 00:53:59,000
Speaker 3: And it's not you know, one poll a month he

1035
00:53:59,120 --> 00:54:02,000
Speaker 3: had that level. He has always been this strong. So

1036
00:54:02,400 --> 00:54:05,200
Speaker 3: I just I gotta tell you it's not looking good

1037
00:54:05,200 --> 00:54:06,560
Speaker 3: for anyone not named Donald Trump.

1038
00:54:06,640 --> 00:54:08,400
Speaker 2: It's getting very difficult.

1039
00:54:08,440 --> 00:54:11,640
Speaker 1: It's everything you, everything you say, is so interesting, rich

1040
00:54:11,680 --> 00:54:15,400
Speaker 1: and I think you know a lot of desantist folks,

1041
00:54:15,480 --> 00:54:18,560
Speaker 1: especially as influencers and stuff, will say, well, hey, this

1042
00:54:18,600 --> 00:54:23,680
Speaker 1: isn't twenty sixteen and certainly, you know, times change. They're right,

1043
00:54:23,760 --> 00:54:29,279
Speaker 1: this isn't twenty sixteen. But Donald Trump is I think

1044
00:54:29,320 --> 00:54:32,600
Speaker 1: a once in a lifetime political figure, whether you're a

1045
00:54:32,640 --> 00:54:36,440
Speaker 1: Republican or a Democrat. By the way, and you know,

1046
00:54:36,480 --> 00:54:40,920
Speaker 1: I think people make mistakes all the time. The pundit

1047
00:54:41,000 --> 00:54:47,279
Speaker 1: class of associating the popularity of Trump endorsed candidates with

1048
00:54:47,360 --> 00:54:52,240
Speaker 1: the popularity of Donald Trump himself. They are two totally

1049
00:54:52,280 --> 00:54:55,880
Speaker 1: different things. Now, a Trump endorsement is very very important.

1050
00:54:55,920 --> 00:54:58,640
Speaker 1: I mean, you know, I think doctor Oz probably won

1051
00:54:58,680 --> 00:55:00,520
Speaker 1: the primary in twenty twenty two in the state of

1052
00:55:00,560 --> 00:55:03,760
Speaker 1: Pennsylvania by nine hundred votes precisely because he had Donald

1053
00:55:03,760 --> 00:55:06,120
Speaker 1: Trump's endorsement to get across the goal line. And Ron

1054
00:55:06,160 --> 00:55:11,719
Speaker 1: DeSantis barely beat a methaddict back when he ran. It

1055
00:55:11,880 --> 00:55:14,880
Speaker 1: was and it was it was Donald and Donald Trump

1056
00:55:14,920 --> 00:55:16,279
Speaker 1: was the one that got him across the goal line.

1057
00:55:16,320 --> 00:55:16,560
Speaker 2: He did.

1058
00:55:16,719 --> 00:55:22,600
Speaker 1: And so Donald Trump brings out the craziest cross section

1059
00:55:22,880 --> 00:55:26,279
Speaker 1: of voters that that I have I've ever seen. You know,

1060
00:55:26,400 --> 00:55:30,320
Speaker 1: you can't pry away some of these Union Democrats from

1061
00:55:30,480 --> 00:55:33,560
Speaker 1: voting for for Donald Trump. You just can't, especially in

1062
00:55:33,600 --> 00:55:36,279
Speaker 1: Western Pennsylvania. Was talking to a Union leader of a

1063
00:55:36,320 --> 00:55:38,919
Speaker 1: building trade union, a union leader here in Western Pa, saying,

1064
00:55:38,960 --> 00:55:40,719
Speaker 1: you know, they worked really hard to try to get

1065
00:55:40,760 --> 00:55:42,640
Speaker 1: people not to vote for Donald Trump, but they couldn't

1066
00:55:42,680 --> 00:55:45,319
Speaker 1: convince people to do it, you know, because I think,

1067
00:55:45,360 --> 00:55:50,240
Speaker 1: and here's why, here's why, I think that authenticity really, really,

1068
00:55:50,320 --> 00:55:53,120
Speaker 1: it's the coin of the realm in American politics today.

1069
00:55:53,400 --> 00:55:57,359
Speaker 1: Whereas a lot of Republicans don't like Trump's comportment, they

1070
00:55:57,400 --> 00:56:00,759
Speaker 1: don't like maybe sometimes how he they don't like maybe

1071
00:56:00,760 --> 00:56:05,880
Speaker 1: sometimes his bomb bast but but they they know that

1072
00:56:06,000 --> 00:56:08,600
Speaker 1: even if they disagree with those things, that the man

1073
00:56:08,840 --> 00:56:11,680
Speaker 1: is who he is. And when you see other politicians

1074
00:56:11,680 --> 00:56:13,839
Speaker 1: and the example you use in Ukraine and in the State,

1075
00:56:14,440 --> 00:56:18,360
Speaker 1: the Santis statement to Tucker and then the subsequent flip flop,

1076
00:56:18,640 --> 00:56:21,400
Speaker 1: I think people think, WHOA, I can't really trust this guy.

1077
00:56:22,120 --> 00:56:25,400
Speaker 1: Well there's somebody behind the curtain that's maybe making decisions. Well,

1078
00:56:25,440 --> 00:56:27,279
Speaker 1: I can tell you this about Donald Trump, having known

1079
00:56:27,360 --> 00:56:29,520
Speaker 1: him and known his inner circle for a long time.

1080
00:56:29,560 --> 00:56:33,319
Speaker 1: Nobody pulls his strength for Donald Trump. Nobody he is

1081
00:56:33,360 --> 00:56:37,600
Speaker 1: who he is, and and sure is I just think, yeah,

1082
00:56:37,760 --> 00:56:41,879
Speaker 1: I look, I think that do you think? I guess

1083
00:56:41,920 --> 00:56:45,160
Speaker 1: I'll ask you this, do you think other candidates now

1084
00:56:45,280 --> 00:56:47,600
Speaker 1: for the twenty four race on the Republican side are

1085
00:56:47,640 --> 00:56:50,320
Speaker 1: getting in this race, like Tim Scott because they smell

1086
00:56:50,400 --> 00:56:53,279
Speaker 1: blood in the water. They don't think DeSantis is as

1087
00:56:53,280 --> 00:56:55,640
Speaker 1: strong as maybe he once was.

1088
00:56:56,200 --> 00:56:59,719
Speaker 3: Yes, And Glenn Youngkin, we could probably expect him as well.

1089
00:56:59,760 --> 00:57:01,440
Speaker 3: I mean, get a call from a lot of donors

1090
00:57:01,480 --> 00:57:03,640
Speaker 3: because they want to know, does this guy have a

1091
00:57:03,680 --> 00:57:06,160
Speaker 3: prayer and you know what kind of snowballs chance and

1092
00:57:06,400 --> 00:57:09,799
Speaker 3: you know, hell to win. So we get a lot

1093
00:57:09,880 --> 00:57:12,800
Speaker 3: of calls, and you know, Glenn Youngkin has been running

1094
00:57:12,800 --> 00:57:16,080
Speaker 3: around for weeks going. I told you it wasn't ready.

1095
00:57:15,840 --> 00:57:16,520
Speaker 2: For prime time.

1096
00:57:16,760 --> 00:57:19,240
Speaker 3: Tim Scott has a little bit of an advantage, even

1097
00:57:19,240 --> 00:57:22,560
Speaker 3: though Glenn Youngkin I think probably would be you know,

1098
00:57:22,600 --> 00:57:24,160
Speaker 3: once he gets on the trail, and.

1099
00:57:24,200 --> 00:57:28,440
Speaker 2: He'd probably be an attractive candidate.

1100
00:57:28,680 --> 00:57:32,320
Speaker 3: Tim Scott an unfortunately nice guy, but he's not saying

1101
00:57:32,360 --> 00:57:36,680
Speaker 3: the message. At least Youngkin knows some of the bases message.

1102
00:57:36,680 --> 00:57:39,280
Speaker 3: He knows what they want to hear. Tim Scott doesn't.

1103
00:57:39,440 --> 00:57:42,160
Speaker 3: He's speaking to a very small, uh you know, section

1104
00:57:42,200 --> 00:57:46,479
Speaker 3: of the Republican Party that frankly demographically speaking, is dying out.

1105
00:57:46,720 --> 00:57:50,320
Speaker 3: They will they're older and they're just there's no young

1106
00:57:50,720 --> 00:57:53,840
Speaker 3: support for that wing of the Republican Party, so over time.

1107
00:57:53,880 --> 00:57:55,400
Speaker 2: It literally will disappear.

1108
00:57:55,680 --> 00:57:58,400
Speaker 3: But Tim Scott also has because of his committee assignments.

1109
00:57:58,840 --> 00:58:01,360
Speaker 3: You know Oracle by the way, the head Oracle also

1110
00:58:01,640 --> 00:58:03,800
Speaker 3: a lot of Wall Street guys, I mean, because he's

1111
00:58:03,800 --> 00:58:06,360
Speaker 3: been a basically, I don't want to say a permanent fixture.

1112
00:58:06,400 --> 00:58:09,600
Speaker 3: That's not fair. But he has been very responsive to them.

1113
00:58:09,840 --> 00:58:11,720
Speaker 3: It's just part of the role he plays in the Senate.

1114
00:58:12,240 --> 00:58:15,520
Speaker 3: They like him, and they also view him as he's

1115
00:58:15,560 --> 00:58:18,240
Speaker 3: a very likable guy, and anybody who meets him in person.

1116
00:58:18,400 --> 00:58:19,920
Speaker 3: I don't know if you have Sean, but he's a

1117
00:58:19,960 --> 00:58:22,640
Speaker 3: super nice guy. I mean, he's hard to dislike. You

1118
00:58:22,720 --> 00:58:26,840
Speaker 3: may disagree with him, but he's hard to dislike. They're

1119
00:58:26,840 --> 00:58:31,280
Speaker 3: gonna look around, but at this point it's really I

1120
00:58:31,320 --> 00:58:33,520
Speaker 3: don't want to say feudile, but I mean, I don't

1121
00:58:33,520 --> 00:58:34,840
Speaker 3: know what other word for it.

1122
00:58:34,880 --> 00:58:36,280
Speaker 2: There is no other candidate.

1123
00:58:36,360 --> 00:58:39,479
Speaker 3: DeSantis, I do believe, had the best chance to pull

1124
00:58:39,520 --> 00:58:42,120
Speaker 3: some of Trump's own vote away from him, But the

1125
00:58:42,200 --> 00:58:44,600
Speaker 3: problem is he didn't know what lane to get in,

1126
00:58:44,920 --> 00:58:47,880
Speaker 3: and that's why the and that exposes that you're not

1127
00:58:48,040 --> 00:58:51,440
Speaker 3: authentic when when you flip flop like that, you're telling

1128
00:58:51,560 --> 00:58:54,640
Speaker 3: MAGA that you can't be trusted on these issues.

1129
00:58:54,680 --> 00:58:55,880
Speaker 2: They're already skeptical of.

1130
00:58:55,960 --> 00:58:58,840
Speaker 3: You, and you're kind of telling the moderate lane that

1131
00:58:58,960 --> 00:59:02,480
Speaker 3: you're opposing to MAGA instead of trying to just be

1132
00:59:02,640 --> 00:59:06,120
Speaker 3: in that moderate lane. So Nikki Haley, for whatever people

1133
00:59:06,160 --> 00:59:08,680
Speaker 3: can say about her, she's been very consistent.

1134
00:59:08,880 --> 00:59:09,960
Speaker 2: I'm in this lane.

1135
00:59:10,160 --> 00:59:12,440
Speaker 3: This is you know, the President and I agree on

1136
00:59:12,480 --> 00:59:15,360
Speaker 3: a lot, but we also disagree here, here, and here,

1137
00:59:15,680 --> 00:59:18,520
Speaker 3: and that's why I'm in a different lane. Harry Anton

1138
00:59:18,640 --> 00:59:23,560
Speaker 3: basically echoed something that I had said. He is one

1139
00:59:23,600 --> 00:59:28,240
Speaker 3: hundred percent there is no there is no lane for

1140
00:59:28,280 --> 00:59:31,640
Speaker 3: desantists to go in and dominate. So he can't go

1141
00:59:31,760 --> 00:59:36,760
Speaker 3: in Trump's lane, which is more conservative, which is non white,

1142
00:59:36,840 --> 00:59:40,120
Speaker 3: by the way, more non white, more diverse, more dynamic.

1143
00:59:40,360 --> 00:59:43,120
Speaker 3: He can't go into that mag lane and dominate Trump

1144
00:59:43,240 --> 00:59:44,840
Speaker 3: because you can't out trump Trump.

1145
00:59:44,920 --> 00:59:46,280
Speaker 2: You just can't do it right.

1146
00:59:46,320 --> 00:59:48,560
Speaker 3: So that leaves you with a moderate lane, which, if

1147
00:59:48,560 --> 00:59:51,480
Speaker 3: we're just talking numbers here, is about if you're lucky,

1148
00:59:52,000 --> 00:59:54,560
Speaker 3: if they're lucky, is going to be about thirty percent

1149
00:59:54,840 --> 00:59:58,040
Speaker 3: moderate and liberal seventy percent is going to be conservative

1150
00:59:58,240 --> 01:00:01,440
Speaker 3: and Trump is a pro coaching in some polling and

1151
01:00:01,600 --> 01:00:05,240
Speaker 3: US he has surpassed it a super majority support among

1152
01:00:05,520 --> 01:00:08,840
Speaker 3: conservatives in the party. So, you know, we always talk

1153
01:00:08,880 --> 01:00:11,080
Speaker 3: about this in terms of lanes, as if this is

1154
01:00:11,080 --> 01:00:14,440
Speaker 3: a horse race, but it really is true. Where's his lane,

1155
01:00:14,840 --> 01:00:16,200
Speaker 3: where's anybody's lane.

1156
01:00:16,440 --> 01:00:17,520
Speaker 2: There isn't a liberal lane.

1157
01:00:17,520 --> 01:00:20,959
Speaker 3: It's five percent right, so that you could theoretically get

1158
01:00:20,960 --> 01:00:24,720
Speaker 3: some conservatives put that together with the moderates, but as

1159
01:00:24,720 --> 01:00:27,880
Speaker 3: a slew of polls came out today showed there isn't.

1160
01:00:28,000 --> 01:00:29,000
Speaker 2: It's not big enough.

1161
01:00:29,440 --> 01:00:31,560
Speaker 3: So even if you get the guy head to head,

1162
01:00:32,040 --> 01:00:34,440
Speaker 3: you just the best you could hope to do is

1163
01:00:34,480 --> 01:00:38,040
Speaker 3: like seventy thirty. And honestly, that may collapse as time

1164
01:00:38,080 --> 01:00:41,560
Speaker 3: goes on. It may because I think that they're gonna

1165
01:00:41,920 --> 01:00:43,800
Speaker 3: I have always been of the mind they were going

1166
01:00:43,840 --> 01:00:46,240
Speaker 3: to indict him and that it would backfire. And I

1167
01:00:46,280 --> 01:00:48,720
Speaker 3: think because Alvin Bragg was the first one to do it,

1168
01:00:49,040 --> 01:00:52,440
Speaker 3: he hurt people who may otherwise have stronger cases because

1169
01:00:52,480 --> 01:00:55,040
Speaker 3: now everyone's just gonna see it as a fake indictment.

1170
01:00:55,040 --> 01:00:58,160
Speaker 2: They're trying to stop this guy. And it isn't twenty sixteen.

1171
01:00:58,360 --> 01:01:01,520
Speaker 3: It isn't twenty fifteen, but it's also not twenty twenty either.

1172
01:01:01,760 --> 01:01:05,400
Speaker 3: And the truth is Trump was he is much stronger

1173
01:01:05,440 --> 01:01:08,080
Speaker 3: now than he ever was in twenty fifteen.

1174
01:01:08,480 --> 01:01:10,680
Speaker 2: When he was leading. He was leading with thirty five

1175
01:01:10,680 --> 01:01:12,200
Speaker 2: percent of the vote. Folks, go look it up my

1176
01:01:12,280 --> 01:01:13,720
Speaker 2: real Claire politics.

1177
01:01:13,400 --> 01:01:19,360
Speaker 3: Thirty five forty percent, never sixty fifty five. The truth

1178
01:01:19,480 --> 01:01:22,560
Speaker 3: is the CNN polls and others, they're coming around to

1179
01:01:22,560 --> 01:01:27,040
Speaker 3: where people like myself and Emerson College Morning Console others

1180
01:01:27,280 --> 01:01:31,160
Speaker 3: have been. We've been two different universes of polsters up

1181
01:01:31,240 --> 01:01:34,880
Speaker 3: until this point. But I would argue they're following our trend,

1182
01:01:35,200 --> 01:01:37,680
Speaker 3: and we had a primary in Kentucky which gave us

1183
01:01:37,680 --> 01:01:41,600
Speaker 3: a chance to see who was more closely reflected the

1184
01:01:42,400 --> 01:01:44,920
Speaker 3: actual sentiment of the electorate, and those of us who

1185
01:01:44,960 --> 01:01:47,880
Speaker 3: are now more bullish on Trump saw Cameron running away

1186
01:01:47,920 --> 01:01:50,840
Speaker 3: with that thing not really a close race, compared to

1187
01:01:50,880 --> 01:01:53,080
Speaker 3: others who did think it was a closer race, and

1188
01:01:53,120 --> 01:01:55,880
Speaker 3: that maybe Craft could even catch him at the end.

1189
01:01:55,920 --> 01:01:59,320
Speaker 3: I mean, folks, that was a serious argument at twenty

1190
01:01:59,360 --> 01:02:03,360
Speaker 3: four hours before for the election. If she can get DeSantis' endorsement,

1191
01:02:03,760 --> 01:02:07,120
Speaker 3: maybe she does an eclipse Cameron, but she can nip

1192
01:02:07,200 --> 01:02:09,080
Speaker 3: him at the heels and we can create a narrative

1193
01:02:09,360 --> 01:02:10,680
Speaker 3: and that really was.

1194
01:02:10,600 --> 01:02:15,000
Speaker 2: There thinking she got crushed. So it tells us that

1195
01:02:15,040 --> 01:02:17,960
Speaker 2: those like Emerson myself wear closer.

1196
01:02:18,120 --> 01:02:21,880
Speaker 3: Trump is much much stronger than some of the you know,

1197
01:02:21,920 --> 01:02:26,200
Speaker 3: the CNN and others are showing, and it's very difficult

1198
01:02:26,360 --> 01:02:27,680
Speaker 3: to bring him down from there.

1199
01:02:27,880 --> 01:02:28,520
Speaker 2: Very difficult.

1200
01:02:28,520 --> 01:02:31,480
Speaker 1: God, It's so interesting, Rich, because you know, I think

1201
01:02:31,600 --> 01:02:35,520
Speaker 1: many voters, you know, many voters that I come into

1202
01:02:35,600 --> 01:02:40,920
Speaker 1: contact with, believe that President Trump was treated very unfairly

1203
01:02:40,960 --> 01:02:44,880
Speaker 1: on the campaign trail in sixteen. He had four years

1204
01:02:45,000 --> 01:02:49,400
Speaker 1: of his presidency basically stolen from him with one hoax

1205
01:02:49,440 --> 01:02:51,640
Speaker 1: after the next, and all this impeachment stuff. It was

1206
01:02:51,720 --> 01:02:55,040
Speaker 1: all completely made up. And I think the Durham Report,

1207
01:02:55,360 --> 01:02:58,640
Speaker 1: you know, even though I'm disappointed with the actual outcome,

1208
01:02:58,680 --> 01:03:02,080
Speaker 1: what's the what are the actions after the fact, it

1209
01:03:02,200 --> 01:03:05,280
Speaker 1: shows people that maybe were on the fence, that were

1210
01:03:05,280 --> 01:03:09,240
Speaker 1: maybe more traditional conservatives. It shows them that, oh my gosh,

1211
01:03:09,280 --> 01:03:12,840
Speaker 1: this guy, this this was a hoax all along, this

1212
01:03:13,280 --> 01:03:17,680
Speaker 1: guy is being unfairly targeted and everybody's against him. And

1213
01:03:17,680 --> 01:03:19,800
Speaker 1: so I think that just makes his poll numbers go up.

1214
01:03:19,880 --> 01:03:23,120
Speaker 1: You know, people that what I mean, Rich, is that

1215
01:03:23,240 --> 01:03:25,960
Speaker 1: twenty eighteen is a good example where the Russia hoax

1216
01:03:26,120 --> 01:03:30,960
Speaker 1: just started to come to fruition. Republicans took a shellacking

1217
01:03:31,000 --> 01:03:33,680
Speaker 1: in that midterm election precisely, and I think Connor Lamb

1218
01:03:33,720 --> 01:03:35,600
Speaker 1: was a good example of this. He was swept into

1219
01:03:35,640 --> 01:03:39,120
Speaker 1: power in a Republican district, I think because there were

1220
01:03:39,120 --> 01:03:42,200
Speaker 1: a lot of Republicans, very moderate Republicans, which there are

1221
01:03:42,200 --> 01:03:45,120
Speaker 1: a lot of in Pennsylvania, more modern Republicans thinking oh

1222
01:03:45,160 --> 01:03:47,640
Speaker 1: my gosh, is the president a Russian asset? You know,

1223
01:03:47,640 --> 01:03:51,040
Speaker 1: we talk about election interference. That hoax was the definition

1224
01:03:51,080 --> 01:03:53,800
Speaker 1: of election interference. Because the Democrats took the majority in

1225
01:03:53,800 --> 01:03:55,600
Speaker 1: the House, in the Senate, I think in twenty eighteen

1226
01:03:55,920 --> 01:03:58,240
Speaker 1: memory they definitely in the House, not sure about the Senate.

1227
01:03:58,640 --> 01:04:01,840
Speaker 1: But the point is, I think many people realize that

1228
01:04:01,840 --> 01:04:04,640
Speaker 1: that's all that was completely bogus now and so to

1229
01:04:04,720 --> 01:04:08,080
Speaker 1: your point, Trump is stronger now than he ever was

1230
01:04:08,160 --> 01:04:11,400
Speaker 1: before with all of these BS hoaxes behind him. And

1231
01:04:11,480 --> 01:04:15,480
Speaker 1: so when you look forward at things, Rich transition to

1232
01:04:15,480 --> 01:04:18,840
Speaker 1: this latest polling that you had come out today, What

1233
01:04:18,880 --> 01:04:22,240
Speaker 1: I thought was really interesting was the difference between a

1234
01:04:22,280 --> 01:04:25,520
Speaker 1: percentage of Republicans who are who consider themselves America First

1235
01:04:25,560 --> 01:04:27,920
Speaker 1: versus more traditional Republicans. Can you talk a little bit

1236
01:04:27,920 --> 01:04:28,480
Speaker 1: about that.

1237
01:04:28,680 --> 01:04:31,240
Speaker 3: This is why we wanted to and you know that

1238
01:04:31,240 --> 01:04:34,600
Speaker 3: that's for just you know, for full disclosure. John O'Shea

1239
01:04:34,800 --> 01:04:39,040
Speaker 3: Kay Granger currently represents this district, but she's you know,

1240
01:04:39,280 --> 01:04:43,320
Speaker 3: she's eighty years old. She's probably going to retire. But

1241
01:04:43,400 --> 01:04:45,840
Speaker 3: there will be some more moderate people who tried, or

1242
01:04:45,880 --> 01:04:48,520
Speaker 3: at least one there will be a moderate person next

1243
01:04:48,520 --> 01:04:51,000
Speaker 3: to John o'sha who is most definitely the America First

1244
01:04:51,080 --> 01:04:53,720
Speaker 3: candidate in that district. And there's a reason why I

1245
01:04:53,720 --> 01:04:57,280
Speaker 3: found this district interesting. Terran County largest red county in

1246
01:04:57,280 --> 01:05:01,240
Speaker 3: the country population wise. But if you believe twenty twenty,

1247
01:05:01,680 --> 01:05:03,360
Speaker 3: if you believe everything was on the up and up,

1248
01:05:03,600 --> 01:05:06,240
Speaker 3: Trump barely lost it by a few thousand votes. If

1249
01:05:06,280 --> 01:05:08,920
Speaker 3: you believe everything was on the up and up, this

1250
01:05:09,240 --> 01:05:14,360
Speaker 3: district is educated, it's wealthy, right, So if you're going

1251
01:05:14,400 --> 01:05:16,960
Speaker 3: to beat Donald Trump, you've got to beat him in

1252
01:05:17,000 --> 01:05:20,040
Speaker 3: this area, because we just pulled the entire state and

1253
01:05:20,080 --> 01:05:21,120
Speaker 3: Trump was killing him.

1254
01:05:21,160 --> 01:05:25,040
Speaker 2: I mean, it was sixty sixteen sean sixty sixteen in

1255
01:05:25,080 --> 01:05:25,720
Speaker 2: the Lone.

1256
01:05:25,440 --> 01:05:27,240
Speaker 3: Star State and a lot of that, by the way,

1257
01:05:27,400 --> 01:05:30,960
Speaker 3: was coming from these Hispanics, And in that poll I

1258
01:05:30,960 --> 01:05:34,400
Speaker 3: got to mention this, These Hispanics who say I'm not Republican.

1259
01:05:34,680 --> 01:05:39,000
Speaker 3: I'm an America First Republican, but I'm not a Republican.

1260
01:05:39,040 --> 01:05:40,720
Speaker 2: They really make this distinction.

1261
01:05:41,280 --> 01:05:43,920
Speaker 3: They're going to come out for Trump in states like Texas,

1262
01:05:43,920 --> 01:05:46,320
Speaker 3: and it's going to surprise people because it's going to happen.

1263
01:05:47,040 --> 01:05:49,320
Speaker 3: But yet in this we ask people whether or not

1264
01:05:49,800 --> 01:05:53,000
Speaker 3: you were an America First Republican or a traditional Republican.

1265
01:05:53,120 --> 01:05:54,840
Speaker 2: Which one do you identify as?

1266
01:05:55,040 --> 01:05:57,720
Speaker 3: And on the primary question, I really thought this is

1267
01:05:57,760 --> 01:05:59,720
Speaker 3: a district where I'm going to see the Santus probably

1268
01:05:59,720 --> 01:06:03,560
Speaker 3: in the thirties. Why twenty percent of a postgraduate degree, right,

1269
01:06:03,680 --> 01:06:05,800
Speaker 3: twenty eight percent of a bachelor's degree.

1270
01:06:05,840 --> 01:06:10,080
Speaker 2: It's an educated area and they make a lot of money. Well,

1271
01:06:10,160 --> 01:06:11,360
Speaker 2: it didn't turn out that way.

1272
01:06:11,400 --> 01:06:14,240
Speaker 3: Trump is beating him by thirty thirty one points and

1273
01:06:14,280 --> 01:06:17,880
Speaker 3: DeSantis is at low twenties. I really thought he would

1274
01:06:17,880 --> 01:06:20,560
Speaker 3: be at least closer to thirty, if not at thirty,

1275
01:06:20,880 --> 01:06:23,440
Speaker 3: then Trump, if you're going to hold him below fifty,

1276
01:06:23,760 --> 01:06:24,920
Speaker 3: this would be the district to.

1277
01:06:24,880 --> 01:06:27,120
Speaker 2: Hold him below fifty. And they're not doing it.

1278
01:06:27,320 --> 01:06:29,280
Speaker 3: And when you ask them where do they come down

1279
01:06:29,280 --> 01:06:31,960
Speaker 3: on this fifty five or really fifty six if you

1280
01:06:32,080 --> 01:06:36,160
Speaker 3: round say they're America First Republicans, only about a quarter

1281
01:06:36,520 --> 01:06:39,680
Speaker 3: say they are more like a traditionalist Republican. And if

1282
01:06:39,680 --> 01:06:42,080
Speaker 3: you look this is some interesting stuff because if you

1283
01:06:42,120 --> 01:06:45,760
Speaker 3: look at the twenty plus percent it said on they're unsure.

1284
01:06:45,880 --> 01:06:46,880
Speaker 2: We did ask other.

1285
01:06:46,760 --> 01:06:50,040
Speaker 3: Questions that will be public soon, and you could see

1286
01:06:50,160 --> 01:06:52,760
Speaker 3: their America First, I mean Sean. They just don't want

1287
01:06:52,760 --> 01:06:55,120
Speaker 3: to say it. They're you know, this goes to that

1288
01:06:55,200 --> 01:06:58,360
Speaker 3: social bias and that shy vote you were talking about before.

1289
01:06:58,480 --> 01:07:00,480
Speaker 3: They don't want to admit it because this is a

1290
01:07:00,600 --> 01:07:04,560
Speaker 3: very wealthy, affluent area and they know the bias, they

1291
01:07:04,640 --> 01:07:07,840
Speaker 3: know the stigma, and they know what's the right answer here,

1292
01:07:08,160 --> 01:07:10,720
Speaker 3: and they're afraid to give it because they don't want to.

1293
01:07:10,920 --> 01:07:13,000
Speaker 2: They don't want to be looked at in a certain way.

1294
01:07:13,840 --> 01:07:19,160
Speaker 3: And more interesting, white voters obviously a majority are America First,

1295
01:07:19,640 --> 01:07:22,360
Speaker 3: but it's not a majority like we see with non

1296
01:07:22,440 --> 01:07:26,440
Speaker 3: white Republicans. And this district will be about seven percent

1297
01:07:26,560 --> 01:07:30,880
Speaker 3: will be Hispanic eighty three percent of them chose America

1298
01:07:30,960 --> 01:07:33,960
Speaker 3: First over traditional Republican eighty three.

1299
01:07:34,360 --> 01:07:37,600
Speaker 2: That's why Trump you can win Zupotter County.

1300
01:07:37,880 --> 01:07:41,680
Speaker 3: That's why he can flip Star sixty plus points and

1301
01:07:41,760 --> 01:07:43,360
Speaker 3: we get killed. Not for nothing.

1302
01:07:43,400 --> 01:07:46,680
Speaker 2: But South Texas perfect example of seats.

1303
01:07:46,560 --> 01:07:49,840
Speaker 3: Republicans were supposed to win. Texas fifteen is a Trump

1304
01:07:49,880 --> 01:07:52,840
Speaker 3: plus three district. They lost it by I think almost

1305
01:07:52,840 --> 01:07:57,000
Speaker 3: ten points. Right Texas thirty four, she was a great

1306
01:07:57,040 --> 01:08:01,200
Speaker 3: candidate and it's a hard district to win, but she

1307
01:08:01,320 --> 01:08:04,200
Speaker 3: lost it by as much as you you know, you

1308
01:08:04,240 --> 01:08:06,520
Speaker 3: would expect that she would still lose it before the

1309
01:08:06,600 --> 01:08:10,120
Speaker 3: districts got more Republican over there. So just the total

1310
01:08:10,160 --> 01:08:13,880
Speaker 3: disappointment and the fact is shown those voters, if those

1311
01:08:14,040 --> 01:08:17,439
Speaker 3: Hispanic voters particularly, they'll come out, and if they do

1312
01:08:17,600 --> 01:08:20,200
Speaker 3: and Trump's on the ballad, they'll not only vote for Trump,

1313
01:08:20,280 --> 01:08:23,080
Speaker 3: but they will give the Republican below Trump on that

1314
01:08:23,160 --> 01:08:26,320
Speaker 3: ticket their support. But if they come out and Trump

1315
01:08:26,360 --> 01:08:30,200
Speaker 3: is not on the ballad, it's not at all guaranteed

1316
01:08:30,240 --> 01:08:33,000
Speaker 3: that they're going to vote Republican. And that's if you

1317
01:08:33,040 --> 01:08:36,519
Speaker 3: can even get them out without Trump. And that is

1318
01:08:37,560 --> 01:08:40,200
Speaker 3: major problem Republicans have. I don't know how they can

1319
01:08:40,240 --> 01:08:43,960
Speaker 3: look back at all of these cycles midterms presidentials twenty

1320
01:08:44,000 --> 01:08:46,960
Speaker 3: twelve to now and not see that they have a

1321
01:08:47,000 --> 01:08:49,759
Speaker 3: major turnout problem when Trump is not on the ticket.

1322
01:08:50,200 --> 01:08:53,040
Speaker 3: So you know, the worst thing that could happen to them,

1323
01:08:53,720 --> 01:08:56,320
Speaker 3: Let's say Trump isn't the nominee and something happens. The

1324
01:08:56,360 --> 01:08:58,880
Speaker 3: worst thing that can happen to them is the case

1325
01:08:58,920 --> 01:09:01,479
Speaker 3: of the missing white voter all over again, like we

1326
01:09:01,520 --> 01:09:05,880
Speaker 3: saw in twenty twelve, only it's not just white. It's

1327
01:09:05,920 --> 01:09:09,880
Speaker 3: all of these new, younger, non white MAGA Republicans that

1328
01:09:10,400 --> 01:09:12,760
Speaker 3: without a doubt will come out and vote for Donald Trump,

1329
01:09:12,840 --> 01:09:15,559
Speaker 3: but they will stay home like they did for Mitt

1330
01:09:15,600 --> 01:09:18,360
Speaker 3: Romney in twelve, and that's how we lost.

1331
01:09:19,080 --> 01:09:22,560
Speaker 1: Wow, rich Man, it is twenty twenty four. It is

1332
01:09:22,600 --> 01:09:25,840
Speaker 1: gonna be so interesting. And you know, of course I'm

1333
01:09:25,840 --> 01:09:27,080
Speaker 1: going to be turning to you and those of you

1334
01:09:27,080 --> 01:09:29,760
Speaker 1: all who are watching and listening. You should also go

1335
01:09:30,000 --> 01:09:34,040
Speaker 1: and trust the people's pundit rich Barris, Like, what's the website?

1336
01:09:34,040 --> 01:09:35,400
Speaker 1: Big data pole dot com?

1337
01:09:35,520 --> 01:09:38,240
Speaker 2: Right, big data pole dot com. Best place to follow me?

1338
01:09:38,320 --> 01:09:40,799
Speaker 3: You know, everything we're doing is on locals People's pundit

1339
01:09:40,880 --> 01:09:44,280
Speaker 3: dot locals dot com, which you don't you know, you

1340
01:09:44,280 --> 01:09:46,679
Speaker 3: can sign up and just be a member, but there's

1341
01:09:46,800 --> 01:09:50,160
Speaker 3: membership supporters. Anything we do from there is like the

1342
01:09:50,240 --> 01:09:53,240
Speaker 3: Central Hub Sewan, you know, so big data poles, cool

1343
01:09:53,280 --> 01:09:56,559
Speaker 3: and everything, and we give them all those graphics and

1344
01:09:56,640 --> 01:09:59,479
Speaker 3: the trackers and everything there, but most of those links

1345
01:09:59,520 --> 01:10:00,639
Speaker 3: will share off the locals.

1346
01:10:01,439 --> 01:10:02,720
Speaker 2: It's the best place to follow us.

1347
01:10:03,960 --> 01:10:06,880
Speaker 1: Well. Awesome, Rich. I'd love to have you back, you know,

1348
01:10:07,000 --> 01:10:10,120
Speaker 1: six months from now or sooner, of course, based on

1349
01:10:10,160 --> 01:10:11,960
Speaker 1: your schedule, because I love to get your feedback in

1350
01:10:12,040 --> 01:10:15,360
Speaker 1: your view of the terrain. But I can't thank you

1351
01:10:15,439 --> 01:10:19,439
Speaker 1: enough for coming on, and we just really really appreciate it. Rich,

1352
01:10:19,520 --> 01:10:20,320
Speaker 1: thank you, and.

1353
01:10:20,360 --> 01:10:21,839
Speaker 2: Thank you for having me anytime.

1354
01:10:21,880 --> 01:10:26,320
Speaker 1: Sean enjoyed it, all right, brother soon, all right, take care, Okay, everybody,

1355
01:10:26,760 --> 01:10:30,439
Speaker 1: that's a wrap. I hope you liked the People's Pundit.

1356
01:10:30,960 --> 01:10:34,720
Speaker 1: I mean think the dude is just phenomenal. Follow him

1357
01:10:34,760 --> 01:10:37,760
Speaker 1: on Twitter. He's rolling out a new poll almost on

1358
01:10:37,800 --> 01:10:41,799
Speaker 1: the weekly. He's always got great insight into what's happening

1359
01:10:42,000 --> 01:10:45,920
Speaker 1: in congressional districts all across the country, statewide races for

1360
01:10:46,000 --> 01:10:48,680
Speaker 1: Senate and for governor, and obviously the presidential cycle in

1361
01:10:48,720 --> 01:10:51,439
Speaker 1: twenty twenty four is going to be critically important. You know,

1362
01:10:51,600 --> 01:10:54,760
Speaker 1: I personally think if Republicans don't win in twenty twenty four.

1363
01:10:54,800 --> 01:10:57,599
Speaker 1: We might not have a country left after that, so

1364
01:10:57,840 --> 01:11:00,439
Speaker 1: it's a very very important cycle. Pay attention to it.

1365
01:11:02,120 --> 01:11:04,760
Speaker 1: Go to the website Official Sean Parnell dot com. We've

1366
01:11:04,800 --> 01:11:10,320
Speaker 1: got Battleground apparel there again, subscribe to Apple Podcasts or

1367
01:11:10,320 --> 01:11:13,479
Speaker 1: wherever you listen to podcasts. I've also got a YouTube channel,

1368
01:11:13,520 --> 01:11:16,040
Speaker 1: but we're really putting a lot of effort into right

1369
01:11:16,080 --> 01:11:20,640
Speaker 1: now is our Rumble channel. And really where we're at is,

1370
01:11:21,360 --> 01:11:24,559
Speaker 1: why would we invest a lot of time, energy, money,

1371
01:11:24,680 --> 01:11:28,320
Speaker 1: resources into YouTube when a year from now they could

1372
01:11:28,400 --> 01:11:30,640
Speaker 1: just ban my whole channel. Why not just invest all

1373
01:11:30,720 --> 01:11:32,559
Speaker 1: that time and energy and Rumble right now. And that's

1374
01:11:32,600 --> 01:11:37,920
Speaker 1: what we're doing. So go subscribe to Rumble. Watch the podcast.

1375
01:11:38,000 --> 01:11:40,680
Speaker 1: There we break it down into super manageable clips for you,

1376
01:11:41,920 --> 01:11:45,719
Speaker 1: and again, God bless you. Thank you for the time,

1377
01:11:46,160 --> 01:11:48,400
Speaker 1: thank you for the commitment, thank you for tuning in

1378
01:11:48,439 --> 01:11:51,080
Speaker 1: and watching, and God bless you all, and God bless

1379
01:11:51,240 --> 01:11:53,680
Speaker 1: this incredible country that we live in.

1380
01:11:54,000 --> 01:12:00,720
Speaker 2: Take care and