1
00:00:01,840 --> 00:00:05,560
Speaker 1: This is twenty four, a weekly highlight reel from the

2
00:00:05,640 --> 00:00:09,239
Speaker 1: Clay Travis and Buck Sexton Show featuring all things the

3
00:00:09,280 --> 00:00:10,200
Speaker 1: election coverage.

4
00:00:10,680 --> 00:00:13,160
Speaker 2: Let's get started. Here are Clay and Buck.

5
00:00:14,160 --> 00:00:16,040
Speaker 3: I want to play a couple more cuts of the

6
00:00:16,120 --> 00:00:22,000
Speaker 3: disastrous MSNBC interview with Stephanie Rule that Kamala did last night,

7
00:00:22,160 --> 00:00:24,880
Speaker 3: and I want to continue to emphasize to all of

8
00:00:24,920 --> 00:00:28,160
Speaker 3: you that you should go watch it for yourself. And

9
00:00:28,200 --> 00:00:31,280
Speaker 3: I know it's painful, but I do think it's important

10
00:00:31,320 --> 00:00:34,720
Speaker 3: for you to listen to what she's saying because maybe

11
00:00:34,720 --> 00:00:37,960
Speaker 3: there's persuadable people in your friend or family group who

12
00:00:37,960 --> 00:00:41,760
Speaker 3: are buying in to the Kamala Harris word salad, or

13
00:00:41,800 --> 00:00:44,559
Speaker 3: to the idea of brat summer, or the idea that

14
00:00:44,720 --> 00:00:48,239
Speaker 3: somehow she is going to be able to manage the

15
00:00:48,400 --> 00:00:51,960
Speaker 3: United States government. Here she is, Buck, Let's have it.

16
00:00:52,000 --> 00:00:57,160
Speaker 3: These are a couple of fun, ridiculous, ridiculous answers. Kamala

17
00:00:57,520 --> 00:00:59,760
Speaker 3: has evidently learned the word holistic.

18
00:01:00,320 --> 00:01:01,319
Speaker 2: She uses it.

19
00:01:01,440 --> 00:01:04,640
Speaker 3: I want to play this for you three times in

20
00:01:04,720 --> 00:01:10,000
Speaker 3: twenty six seconds, all within a nonsensical word salad talking

21
00:01:10,000 --> 00:01:11,160
Speaker 3: about working people.

22
00:01:11,319 --> 00:01:14,080
Speaker 4: Listen, some of the work is going to be through

23
00:01:14,400 --> 00:01:17,679
Speaker 4: what we do in terms of giving benefits and assistance

24
00:01:17,760 --> 00:01:22,160
Speaker 4: to state local governments around transit dollars and looking holistically

25
00:01:22,520 --> 00:01:26,880
Speaker 4: at the connection between that and housing, and looking holistically

26
00:01:26,920 --> 00:01:29,400
Speaker 4: at the incentives we in the federal government can create

27
00:01:29,440 --> 00:01:32,600
Speaker 4: for local and state governments to actually engage in planning

28
00:01:32,640 --> 00:01:37,039
Speaker 4: in a holistic manner that includes prioritizing affordable housing for

29
00:01:37,120 --> 00:01:37,840
Speaker 4: working people.

30
00:01:38,400 --> 00:01:39,840
Speaker 5: I want to show yourself in the head when I

31
00:01:39,920 --> 00:01:41,880
Speaker 5: mean this book holistically.

32
00:01:41,920 --> 00:01:46,040
Speaker 6: Her campaign is a disaster, and if the Republicans can't

33
00:01:46,040 --> 00:01:49,320
Speaker 6: defeat her with Donald Trump, we need to do some

34
00:01:50,520 --> 00:01:51,800
Speaker 6: profound soul.

35
00:01:51,600 --> 00:01:53,560
Speaker 2: Searching as a party. That's where I am.

36
00:01:53,560 --> 00:01:56,559
Speaker 6: That's why I've been so confident every day of this election,

37
00:01:56,640 --> 00:01:59,639
Speaker 6: ever since they've nominated kam Law I was You'll notice

38
00:01:59,680 --> 00:02:03,600
Speaker 6: I was not celebrating early when he was up against Biden,

39
00:02:03,640 --> 00:02:05,640
Speaker 6: even though I knew he had dementia and all that stuff,

40
00:02:05,720 --> 00:02:09,400
Speaker 6: just because of what's going to make the difference in

41
00:02:09,400 --> 00:02:11,680
Speaker 6: the key states. As we've discussed many times on the show,

42
00:02:13,160 --> 00:02:15,920
Speaker 6: Kamala's a weaker. I know the polls with Biden, but

43
00:02:16,000 --> 00:02:17,800
Speaker 6: I really believe that they could have trodded him out

44
00:02:17,840 --> 00:02:19,679
Speaker 6: there for debate. He would have done better and he

45
00:02:19,720 --> 00:02:22,920
Speaker 6: would have had a rebound. I think Kamala is a

46
00:02:22,919 --> 00:02:27,160
Speaker 6: weaker matchup for Trump and Joe Biden. Was Kamala with

47
00:02:27,360 --> 00:02:30,480
Speaker 6: using the word holistic reminds me. We used to do

48
00:02:30,520 --> 00:02:32,960
Speaker 6: something called the vocabulary.

49
00:02:32,160 --> 00:02:33,200
Speaker 5: Work word of the day.

50
00:02:33,760 --> 00:02:38,560
Speaker 6: Yeah, I hope to see you not sporadically from clueless, remember.

51
00:02:38,760 --> 00:02:41,440
Speaker 3: Yes, And we had to use we had to write

52
00:02:41,480 --> 00:02:44,080
Speaker 3: sentences and every now and then a teacher would be like,

53
00:02:44,120 --> 00:02:47,000
Speaker 3: you guys are just mailing it in because you know,

54
00:02:47,040 --> 00:02:51,600
Speaker 3: you would use you know, we discussed the whatever the

55
00:02:51,600 --> 00:02:54,000
Speaker 3: word was, you would use it in a sentence and

56
00:02:54,200 --> 00:02:56,519
Speaker 3: it would be like using the definition of the word

57
00:02:56,560 --> 00:02:58,639
Speaker 3: in the sentence and we would get, you know, marked

58
00:02:58,680 --> 00:03:02,640
Speaker 3: off or whatever. It is definitely the case that she

59
00:03:02,840 --> 00:03:05,880
Speaker 3: is trying to pretend to be intelligent by using a

60
00:03:05,919 --> 00:03:08,839
Speaker 3: word that she just learned as many times as she could.

61
00:03:08,919 --> 00:03:09,560
Speaker 3: Now there's another.

62
00:03:09,880 --> 00:03:12,040
Speaker 5: It's just one thing just to be oh, did you

63
00:03:12,080 --> 00:03:12,919
Speaker 5: want to go to a call?

64
00:03:13,040 --> 00:03:15,080
Speaker 2: Or I've got another I've got another funny way.

65
00:03:15,120 --> 00:03:16,600
Speaker 6: We'll do the other clip and then I'll tell you

66
00:03:16,639 --> 00:03:18,120
Speaker 6: what I'm what I'm thinking here, go ahead.

67
00:03:18,560 --> 00:03:18,840
Speaker 2: Uh.

68
00:03:18,880 --> 00:03:21,760
Speaker 3: There has been a discussion about whether Kamala actually worked

69
00:03:21,760 --> 00:03:24,600
Speaker 3: at McDonald's. There is no evidence that she did work

70
00:03:24,639 --> 00:03:26,679
Speaker 3: at McDonald's. By the way, you would think there'd be

71
00:03:26,720 --> 00:03:28,600
Speaker 3: a pay stub out there. You would think there would

72
00:03:28,600 --> 00:03:32,760
Speaker 3: be some coworker. I don't know about you, Buck, I've

73
00:03:32,760 --> 00:03:36,840
Speaker 3: had multiple jobs in my life that were like retail

74
00:03:36,960 --> 00:03:39,880
Speaker 3: kind of focused. I worked at American Eagle, I mentioned

75
00:03:39,960 --> 00:03:43,720
Speaker 3: Abercrombie and Fitch before I worked at Media Play. Okay,

76
00:03:44,200 --> 00:03:46,920
Speaker 3: all three of those jobs I.

77
00:03:46,960 --> 00:03:49,160
Speaker 6: Just a Clay and my wife both worked at Abercrombie,

78
00:03:49,200 --> 00:03:50,880
Speaker 6: which people who work there. I love to tell you

79
00:03:50,880 --> 00:03:53,160
Speaker 6: because back in the day you had to be good

80
00:03:53,160 --> 00:03:54,440
Speaker 6: looking to work at Abercromby.

81
00:03:55,000 --> 00:03:58,400
Speaker 3: Producer Ali worked at McDonald's. Let me just say this, Buck,

82
00:03:58,800 --> 00:04:03,400
Speaker 3: I believe today you could find a coworker of mine

83
00:04:03,800 --> 00:04:07,200
Speaker 3: at all three of those places and they would say, yes,

84
00:04:07,400 --> 00:04:11,280
Speaker 3: I worked with Clay Travis, we had you know, like X,

85
00:04:11,440 --> 00:04:12,080
Speaker 3: Y and Z Right.

86
00:04:12,080 --> 00:04:12,680
Speaker 2: There would be.

87
00:04:13,040 --> 00:04:17,039
Speaker 3: Multiple coworkers that would remember working there. If I were

88
00:04:17,160 --> 00:04:20,840
Speaker 3: running for president of the United States, they would be

89
00:04:20,960 --> 00:04:23,479
Speaker 3: super easy to find. Right on social media to be

90
00:04:23,480 --> 00:04:25,919
Speaker 3: coming out. Why has no one who worked with Kamala

91
00:04:25,920 --> 00:04:29,440
Speaker 3: Harris she's a good looking girl. When she was working

92
00:04:29,480 --> 00:04:32,520
Speaker 3: at McDonald's buck you, if you're a teenager, you would

93
00:04:32,560 --> 00:04:35,440
Speaker 3: remember a pretty girl that worked alongside of you at

94
00:04:35,480 --> 00:04:37,680
Speaker 3: a place like McDonald's. I'm just gonna say, if you're

95
00:04:37,680 --> 00:04:40,800
Speaker 3: a dude, if you're a straight guy, none of them

96
00:04:40,800 --> 00:04:43,120
Speaker 3: have come out and said, oh yeah, a unique name

97
00:04:43,279 --> 00:04:47,080
Speaker 3: like Kamala, none of them can remember working alongside of

98
00:04:47,120 --> 00:04:49,719
Speaker 3: her at McDonald's. That would be an interesting question. I

99
00:04:49,720 --> 00:04:54,880
Speaker 3: would just point out here is Stephanie rule quit a

100
00:04:55,000 --> 00:04:57,880
Speaker 3: questioning Kamala about her McDonald's job.

101
00:04:57,920 --> 00:05:01,000
Speaker 4: Listen, first, one, just a fact check because your opponent

102
00:05:01,080 --> 00:05:03,400
Speaker 4: there is a literal day, there's no such thing.

103
00:05:03,279 --> 00:05:03,880
Speaker 1: As a little job.

104
00:05:03,920 --> 00:05:07,440
Speaker 4: Okay, fair, fair, because your opponent almost every day seems

105
00:05:07,440 --> 00:05:08,479
Speaker 4: to be talking about this.

106
00:05:08,560 --> 00:05:10,039
Speaker 7: So I just want to ask you, yes or no?

107
00:05:10,200 --> 00:05:12,000
Speaker 4: At any point in your life.

108
00:05:12,120 --> 00:05:15,919
Speaker 1: Have you served to all beef patties, special sauce, let

109
00:05:16,040 --> 00:05:17,599
Speaker 1: us cheese pick those onions on.

110
00:05:18,520 --> 00:05:21,000
Speaker 4: But I'm looking at a McDonald's yes or no, that's it.

111
00:05:21,080 --> 00:05:24,200
Speaker 4: I have Okay, now the other job, but it was

112
00:05:24,279 --> 00:05:26,360
Speaker 4: not a small job like I do guys.

113
00:05:26,560 --> 00:05:29,560
Speaker 3: I mean, you know, okay, she worked at the fries.

114
00:05:29,760 --> 00:05:31,960
Speaker 3: That's a ridiculous way to ask a question. That's not

115
00:05:32,040 --> 00:05:35,280
Speaker 3: a fact check. A fact check would be that is

116
00:05:35,360 --> 00:05:38,440
Speaker 3: Kamala's story. I just think it's important even in the

117
00:05:38,480 --> 00:05:40,960
Speaker 3: way that that question is asked. That's important fact check.

118
00:05:41,240 --> 00:05:43,719
Speaker 3: That's not a fact check. That is asking Kamala the

119
00:05:43,720 --> 00:05:46,479
Speaker 3: same story that she's already told in asking her to

120
00:05:46,600 --> 00:05:48,480
Speaker 3: reinforce that that is her story.

121
00:05:48,680 --> 00:05:49,760
Speaker 2: That is not a fact check.

122
00:05:50,600 --> 00:05:54,280
Speaker 6: But I also think that the Kamala that you are

123
00:05:54,320 --> 00:05:57,640
Speaker 6: seeing in this campaign, whether it's in the most puff

124
00:05:57,680 --> 00:06:01,040
Speaker 6: piece interview or the fact that you know they're hiding her,

125
00:06:02,160 --> 00:06:04,800
Speaker 6: I have like a little a little bit of sympathy

126
00:06:05,080 --> 00:06:09,520
Speaker 6: for her position Clay, because she's she's playing a role

127
00:06:10,480 --> 00:06:13,000
Speaker 6: that is not how she has thought as an adult

128
00:06:13,160 --> 00:06:16,800
Speaker 6: for her entire life in public. Certainly, what I mean

129
00:06:16,920 --> 00:06:19,839
Speaker 6: is when she speaks about these things, I think part

130
00:06:19,839 --> 00:06:24,120
Speaker 6: of why she's falling back so heavily on like holistically

131
00:06:24,320 --> 00:06:27,359
Speaker 6: and fair share and and and these things is because

132
00:06:27,839 --> 00:06:30,280
Speaker 6: she's not telling people. You know, if if someone asked

133
00:06:30,320 --> 00:06:32,520
Speaker 6: you a question, or you asked me a question, we

134
00:06:32,600 --> 00:06:35,479
Speaker 6: don't think about how this will sound to them. We

135
00:06:35,600 --> 00:06:37,880
Speaker 6: just answered the question, right, because I'll tell them what

136
00:06:37,920 --> 00:06:41,240
Speaker 6: we think. She can't tell people what she thinks. Put

137
00:06:41,240 --> 00:06:45,479
Speaker 6: aside that she's not particularly cognitively elite.

138
00:06:45,560 --> 00:06:45,960
Speaker 5: She can't.

139
00:06:46,000 --> 00:06:47,920
Speaker 6: She's she's always you know, it would be like if

140
00:06:47,920 --> 00:06:50,479
Speaker 6: someone asked you something, Clay and you were having or

141
00:06:50,520 --> 00:06:52,520
Speaker 6: you know, ask me something and said Buck, you know,

142
00:06:52,800 --> 00:06:55,120
Speaker 6: as a communist, like as a leftist, what do you

143
00:06:55,160 --> 00:06:58,080
Speaker 6: think about this? And I'd have to translate that. I

144
00:06:58,120 --> 00:07:00,760
Speaker 6: could do it, but I'd have to stop and think

145
00:07:00,880 --> 00:07:03,240
Speaker 6: and translate it into the response that I'm.

146
00:07:03,080 --> 00:07:07,000
Speaker 5: Supposed to give. She's doing that this whole campaign. She's not. Really.

147
00:07:07,040 --> 00:07:10,280
Speaker 6: The only thing where she's authentic is abortion. That's the

148
00:07:10,320 --> 00:07:12,720
Speaker 6: only issue where she's able to give her real opinion.

149
00:07:13,320 --> 00:07:16,040
Speaker 3: You know, it's fascinating because what you're really hitting is

150
00:07:16,080 --> 00:07:18,520
Speaker 3: what I think is the essence of this race. Whatever

151
00:07:18,560 --> 00:07:21,480
Speaker 3: you think about him, Donald Trump is an authentic version

152
00:07:21,520 --> 00:07:24,720
Speaker 3: of himself. He's not being something that he's not. I

153
00:07:24,720 --> 00:07:29,080
Speaker 3: think Kamala is the most fundamentally inauthentic candidate that we

154
00:07:29,160 --> 00:07:33,160
Speaker 3: have ever seen in a presidential race. And she is

155
00:07:33,200 --> 00:07:37,440
Speaker 3: trying to play the role of moderate, which requires her

156
00:07:37,560 --> 00:07:40,360
Speaker 3: to pretend that she never has told us anything else

157
00:07:40,560 --> 00:07:43,080
Speaker 3: about her past, even things simple Like we talked about

158
00:07:43,080 --> 00:07:45,880
Speaker 3: this a little bit earlier in the week. She's saying Oh,

159
00:07:45,920 --> 00:07:47,800
Speaker 3: I've got a gun. You come in my house, I'll

160
00:07:47,800 --> 00:07:50,120
Speaker 3: shoot you, right. I mean, I'm paraphrasing the things that

161
00:07:50,160 --> 00:07:50,720
Speaker 3: she has said.

162
00:07:51,400 --> 00:07:51,640
Speaker 5: Buck.

163
00:07:51,680 --> 00:07:55,560
Speaker 3: When she was in San Francisco, she tried to pass

164
00:07:55,680 --> 00:07:58,080
Speaker 3: a measure, work to help pass a measure that would

165
00:07:58,120 --> 00:08:01,520
Speaker 3: have led to the seizure of all handguns in San Francisco.

166
00:08:02,200 --> 00:08:05,720
Speaker 3: That is who she is, and so she has defined

167
00:08:05,800 --> 00:08:11,040
Speaker 3: herself in left wing politics throughout her entire career in California,

168
00:08:11,520 --> 00:08:14,200
Speaker 3: and now when she tries to introduce herself on the

169
00:08:14,320 --> 00:08:17,800
Speaker 3: national stage, she has all this past history and she

170
00:08:17,880 --> 00:08:20,040
Speaker 3: now has to claim that she doesn't mean any of

171
00:08:20,080 --> 00:08:22,280
Speaker 3: the things that she said she believed in before.

172
00:08:23,240 --> 00:08:30,600
Speaker 6: That's why she's particularly, you know, not unfluid in the

173
00:08:30,600 --> 00:08:32,720
Speaker 6: way that she's speaking about these things. She's having to

174
00:08:32,760 --> 00:08:35,760
Speaker 6: think back to what did my handlers say. It's just

175
00:08:35,760 --> 00:08:37,640
Speaker 6: like she was in the debate. People said, oh, she

176
00:08:37,640 --> 00:08:40,360
Speaker 6: did such a good job in the debate. Well, I mean, yeah,

177
00:08:40,360 --> 00:08:42,920
Speaker 6: if you think that giving if you think that reciting speeches,

178
00:08:43,000 --> 00:08:45,120
Speaker 6: not answering questions and not having to be pressed on

179
00:08:45,160 --> 00:08:47,520
Speaker 6: the answers you give makes you a good debater, I mean,

180
00:08:47,559 --> 00:08:50,600
Speaker 6: anyone can get up there. You know, we had something

181
00:08:50,640 --> 00:08:52,360
Speaker 6: in the speech and debate Team Clay.

182
00:08:52,679 --> 00:08:54,880
Speaker 2: It's very cool. Obviously it was a very cool guy.

183
00:08:54,920 --> 00:08:56,120
Speaker 2: In high school, they.

184
00:08:56,040 --> 00:09:01,040
Speaker 6: Called a declamation, and that was for people who memorize,

185
00:09:01,080 --> 00:09:04,920
Speaker 6: like Pericles funeral oration or something, or you know, they'd

186
00:09:05,000 --> 00:09:06,719
Speaker 6: usually do like a funny speech, but it was a

187
00:09:06,760 --> 00:09:10,360
Speaker 6: memorized speech, very different from debate. Kamala Harris is doing

188
00:09:10,400 --> 00:09:14,560
Speaker 6: declamation piecemeal. She's talking of she's saying things that she

189
00:09:14,600 --> 00:09:17,640
Speaker 6: has learned her memories. It's not what she believes, it's

190
00:09:17,640 --> 00:09:20,280
Speaker 6: not what she thinks, it's what she's been told to say.

191
00:09:20,720 --> 00:09:22,880
Speaker 6: And you're always going it's almost like if you're somebody

192
00:09:22,920 --> 00:09:25,920
Speaker 6: who isn't fluent in another language and you're having to

193
00:09:25,920 --> 00:09:28,160
Speaker 6: translate it. Yeah, you know, like I could figure out

194
00:09:28,200 --> 00:09:31,240
Speaker 6: how to ask where do I get Clay's really expensive

195
00:09:31,280 --> 00:09:33,600
Speaker 6: steak in French? But it's going to take me a minute.

196
00:09:33,679 --> 00:09:35,120
Speaker 6: You know, it's not just going to come out of,

197
00:09:35,240 --> 00:09:38,320
Speaker 6: you know, come flying out. So that's what Kamala's that's

198
00:09:38,360 --> 00:09:40,400
Speaker 6: her challenge is that she's presenting herself.

199
00:09:40,800 --> 00:09:43,080
Speaker 5: If she was able to be full leftist.

200
00:09:43,520 --> 00:09:45,360
Speaker 6: I mean, wouldn't that be amazing if she was able

201
00:09:45,400 --> 00:09:47,160
Speaker 6: to really just say what she wanted to say about

202
00:09:47,160 --> 00:09:47,840
Speaker 6: all this stuff.

203
00:09:48,080 --> 00:09:50,040
Speaker 2: Obviously, she would get destroyed in the.

204
00:09:50,080 --> 00:09:52,640
Speaker 5: Election, but I think she would sound better.

205
00:09:54,080 --> 00:09:56,559
Speaker 3: I do think she would sound better. Buck here's the challenge.

206
00:09:56,600 --> 00:09:58,440
Speaker 3: I think she would still run into even if she

207
00:09:58,520 --> 00:10:01,400
Speaker 3: was going full leftist. I don't think she's smart enough

208
00:10:01,440 --> 00:10:04,480
Speaker 3: to articulate full leftist opinions. And by the way, I

209
00:10:04,480 --> 00:10:06,280
Speaker 3: don't think Tim Walls is either. I think that's the

210
00:10:06,320 --> 00:10:09,080
Speaker 3: reason you haven't even seen him do a single interview basically.

211
00:10:09,360 --> 00:10:13,080
Speaker 3: But look, I disagree with Elizabeth Warren and Bernie Sanders.

212
00:10:13,360 --> 00:10:16,640
Speaker 3: They're not morons, right, Those are intelligent people who could

213
00:10:16,640 --> 00:10:18,840
Speaker 3: at least try to advocate for what they believe.

214
00:10:19,200 --> 00:10:22,800
Speaker 6: But remember leftism. One of the great benefits of leftism

215
00:10:22,840 --> 00:10:25,360
Speaker 6: for those who are its adherents is that it is

216
00:10:25,440 --> 00:10:28,640
Speaker 6: all emotion and slogans, right. I mean, if you talk

217
00:10:28,720 --> 00:10:31,120
Speaker 6: to Bernie Sanders about what will really happen when you

218
00:10:31,160 --> 00:10:33,600
Speaker 6: get into some of his policies, he's like.

219
00:10:33,559 --> 00:10:35,720
Speaker 5: Well, you know, it's what's the right thing to do,

220
00:10:35,840 --> 00:10:36,280
Speaker 5: or whatever.

221
00:10:36,360 --> 00:10:38,360
Speaker 6: He doesn't it's like, well, Bernie, you're gonna have a

222
00:10:38,360 --> 00:10:40,120
Speaker 6: lot of businesses closed down, You're gonna have a lot

223
00:10:40,160 --> 00:10:42,600
Speaker 6: less growth, you're gonna have people pour or across the board.

224
00:10:42,640 --> 00:10:45,240
Speaker 6: He's like, well, yeah, that's the cost of doing business,

225
00:10:45,520 --> 00:10:48,040
Speaker 6: you know what I'm saying, Like leftists, I mean, look

226
00:10:48,040 --> 00:10:53,440
Speaker 6: at look at AOC. Look at AOC. Does she understand economics? No,

227
00:10:54,040 --> 00:10:56,920
Speaker 6: but she is fluent in communism.

228
00:10:57,320 --> 00:11:00,640
Speaker 3: Yeah, And we should talk in the next hour. We're

229
00:11:00,679 --> 00:11:02,720
Speaker 3: going to talk with Ran Paul, but we need to

230
00:11:02,760 --> 00:11:06,120
Speaker 3: talk about all the maneuverings going on New York City mayor. Wise,

231
00:11:06,440 --> 00:11:09,800
Speaker 3: Oh we're talking about is AOC potentially going to make

232
00:11:09,840 --> 00:11:11,320
Speaker 3: a run for mayor of New York City?

233
00:11:11,520 --> 00:11:11,920
Speaker 2: Is Oh?

234
00:11:11,960 --> 00:11:17,920
Speaker 3: God, Drew Cuomo, Like, there are a lot of Democrat

235
00:11:18,000 --> 00:11:19,839
Speaker 3: decisions to be made.

236
00:11:21,320 --> 00:11:25,439
Speaker 1: If you're listening to twenty four The Year of Impact

237
00:11:25,679 --> 00:11:28,640
Speaker 1: with Clay and Buck, I.

238
00:11:28,559 --> 00:11:31,920
Speaker 3: Think these charges against New York City Mayor Eric Adams

239
00:11:32,400 --> 00:11:36,200
Speaker 3: are super, super interesting. And the New York Post today

240
00:11:36,280 --> 00:11:41,400
Speaker 3: Buck had a cover art that essentially said that Eric

241
00:11:41,440 --> 00:11:44,720
Speaker 3: Adams was being charged because he had been too critical

242
00:11:44,960 --> 00:11:48,720
Speaker 3: of the migrant crisis brought on by the Biden and

243
00:11:48,800 --> 00:11:52,200
Speaker 3: Kamala Harris administrations. And you and I were two of

244
00:11:52,240 --> 00:11:55,400
Speaker 3: the first people I heard pointing this out. And I

245
00:11:55,480 --> 00:11:58,480
Speaker 3: think many people now, even who were initially critical of

246
00:11:58,520 --> 00:12:02,760
Speaker 3: that idea that the full indictment has come out, and

247
00:12:02,800 --> 00:12:05,880
Speaker 3: we went through some of the indictment allegations, but a

248
00:12:05,920 --> 00:12:09,000
Speaker 3: big part of it, essentially is he got upgrades on

249
00:12:09,080 --> 00:12:12,960
Speaker 3: Turkish airlines and he got better hotel rooms. Then he

250
00:12:13,040 --> 00:12:17,880
Speaker 3: would have gotten based on his stature as a prominent politician.

251
00:12:18,400 --> 00:12:21,800
Speaker 3: And I would just say this, buck, if getting airline

252
00:12:21,920 --> 00:12:25,160
Speaker 3: upgrades in better hotel rooms, then you would otherwise get

253
00:12:25,440 --> 00:12:29,960
Speaker 3: is grounds for politicians to be charged with felonies. I

254
00:12:30,000 --> 00:12:32,800
Speaker 3: think almost every politician in America could be charged with

255
00:12:32,840 --> 00:12:36,319
Speaker 3: a felony, a Republican Democrat, anybody, because I don't know

256
00:12:36,320 --> 00:12:38,920
Speaker 3: about you. I've gotten on a lot of airplanes over

257
00:12:38,960 --> 00:12:42,440
Speaker 3: the years and seen a lot of politicians sitting in

258
00:12:42,520 --> 00:12:45,280
Speaker 3: first class seats. And if you're only making one hundred

259
00:12:45,280 --> 00:12:49,160
Speaker 3: and seventy five thousand dollars a year those upgrades, it

260
00:12:49,240 --> 00:12:51,000
Speaker 3: seems like you may be getting a little bit of

261
00:12:51,040 --> 00:12:54,360
Speaker 3: beneficial treatment. I'll just say that, because or you're paying

262
00:12:54,400 --> 00:12:57,520
Speaker 3: for your camp with your public funds for those first

263
00:12:57,559 --> 00:13:01,920
Speaker 3: class seats. Anyway, saying that, I think that's perfectly okay.

264
00:13:02,120 --> 00:13:05,080
Speaker 3: Certainly I don't like the idea of people trading on

265
00:13:05,280 --> 00:13:08,120
Speaker 3: their political power, but.

266
00:13:09,160 --> 00:13:11,360
Speaker 2: In the grand scheme of things. This is not.

267
00:13:12,880 --> 00:13:15,640
Speaker 3: Menendez taking gold bars to help Egypt.

268
00:13:15,960 --> 00:13:19,320
Speaker 6: Well, there's a difference between gross and a crime for

269
00:13:19,360 --> 00:13:22,520
Speaker 6: which you should lose your freedom and your reputation, right,

270
00:13:23,040 --> 00:13:25,800
Speaker 6: I mean, Morning Joe is gross, But I don't want

271
00:13:25,800 --> 00:13:28,560
Speaker 6: them sent to prison. They might want us sent to prison.

272
00:13:28,720 --> 00:13:30,800
Speaker 6: But I was watching it this morning, of course, That's

273
00:13:30,800 --> 00:13:34,000
Speaker 6: why that's on my mind. There's a big difference. And

274
00:13:34,080 --> 00:13:39,720
Speaker 6: I think that when you're talking about these kinds of

275
00:13:39,720 --> 00:13:43,520
Speaker 6: of soft benefits, I guess you could call them. This

276
00:13:44,040 --> 00:13:47,400
Speaker 6: reminds me of the like I said, the Conrad blackcase,

277
00:13:47,440 --> 00:13:51,840
Speaker 6: who was a conservative media mogul, a very very smart writer.

278
00:13:51,960 --> 00:13:54,960
Speaker 6: He still I think publishers sometimes National Review in other places,

279
00:13:56,000 --> 00:13:59,120
Speaker 6: and they sent him to federal prison under the Honest

280
00:13:59,120 --> 00:14:02,719
Speaker 6: Services Frauds Statute, saying that I mean, I can't even

281
00:14:02,720 --> 00:14:04,600
Speaker 6: get in all the details right now, but the Supreme

282
00:14:04,640 --> 00:14:07,640
Speaker 6: Court nine to oh said, if you guys take this

283
00:14:07,720 --> 00:14:12,560
Speaker 6: statute for what it says, you've committed fraud. If you

284
00:14:12,840 --> 00:14:16,280
Speaker 6: take a better seat at a restaurant that you're doing

285
00:14:16,320 --> 00:14:19,560
Speaker 6: business with, let's say, or better table, because you know

286
00:14:19,960 --> 00:14:22,360
Speaker 6: it's influencing you and you're not going to give your

287
00:14:22,360 --> 00:14:24,720
Speaker 6: honest services to the company that you're working for because

288
00:14:24,720 --> 00:14:28,320
Speaker 6: they gave you a better table. It's insane and the

289
00:14:28,360 --> 00:14:30,840
Speaker 6: stuff that with Look, we're not he I'm not like

290
00:14:30,840 --> 00:14:35,520
Speaker 6: some huge mayor Eric Adams fan. Right, He's been a terrible.

291
00:14:35,120 --> 00:14:38,800
Speaker 3: Mayor and a joker at best, only decent by the

292
00:14:38,840 --> 00:14:41,280
Speaker 3: standard of not as bad as better than Deblasio.

293
00:14:41,400 --> 00:14:44,720
Speaker 6: Deblasio was a straight up f tried to ruin the

294
00:14:44,720 --> 00:14:46,760
Speaker 6: city and did as much damage to New York City

295
00:14:46,800 --> 00:14:49,240
Speaker 6: as he could. Deblasio is an F. He was a

296
00:14:49,400 --> 00:14:51,520
Speaker 6: cancer on the city of New York as the mayor.

297
00:14:51,640 --> 00:14:53,600
Speaker 6: And anybody who voted for him in New York to

298
00:14:53,720 --> 00:14:56,040
Speaker 6: my former fellow New Yorkers or people like me that

299
00:14:56,040 --> 00:14:58,880
Speaker 6: you used to live in New York, you should feel

300
00:14:58,880 --> 00:15:00,760
Speaker 6: ashamed of voting for the bla. Anyone who voted for

301
00:15:00,760 --> 00:15:05,120
Speaker 6: Deblasio should feel shame. But anyway, you know, Adams is

302
00:15:05,160 --> 00:15:09,640
Speaker 6: like a D plus maybe a C minus. You know

303
00:15:09,680 --> 00:15:13,040
Speaker 6: if the Blasio is an F. But Clay they're going

304
00:15:13,080 --> 00:15:15,000
Speaker 6: after him. This is the thing that people said, oh, well,

305
00:15:15,040 --> 00:15:16,920
Speaker 6: this crime has been going on for a long time. Yeah,

306
00:15:17,200 --> 00:15:20,960
Speaker 6: they're talking about when he was Brooklyn Borough president in

307
00:15:21,080 --> 00:15:25,280
Speaker 6: twenty sixteen, that's almost a decade ago. They're talking about

308
00:15:25,800 --> 00:15:29,160
Speaker 6: business class upgrades on Turk Apparently one of our VIPs

309
00:15:29,160 --> 00:15:31,280
Speaker 6: sent and Turkish airlines very nice. I didn't know that,

310
00:15:31,400 --> 00:15:32,800
Speaker 6: very very nice, world class airline.

311
00:15:32,800 --> 00:15:33,200
Speaker 2: Who knew?

312
00:15:33,240 --> 00:15:33,680
Speaker 5: Who knew?

313
00:15:33,800 --> 00:15:36,480
Speaker 2: I'm just saying Clay was talking some smack about Turkey.

314
00:15:36,520 --> 00:15:37,040
Speaker 2: I came in.

315
00:15:37,080 --> 00:15:39,920
Speaker 3: You just said Turkey wouldn't be in the top twenty

316
00:15:39,920 --> 00:15:41,880
Speaker 3: five countries that I would want to visit.

317
00:15:42,720 --> 00:15:45,520
Speaker 6: He's like, the only Turkey I like comes on Thanksgiving.

318
00:15:45,560 --> 00:15:49,000
Speaker 6: I'm just saying Clay was taking some shots to Wan audience.

319
00:15:49,000 --> 00:15:51,360
Speaker 3: He positioned, unless you aren't, maybe we have a huge

320
00:15:51,400 --> 00:15:52,560
Speaker 3: Turkish audience.

321
00:15:52,600 --> 00:15:53,000
Speaker 2: I don't know.

322
00:15:53,040 --> 00:15:56,880
Speaker 3: I apologize to everyone out there, is anybody like you

323
00:15:56,920 --> 00:15:58,320
Speaker 3: know what I really want to do. You know what

324
00:15:58,560 --> 00:16:01,960
Speaker 3: dream vacation I've had my whole life. I want to

325
00:16:01,960 --> 00:16:04,280
Speaker 3: go to Istanbul. I mean, maybe there are some of

326
00:16:04,280 --> 00:16:06,680
Speaker 3: you out there that are like istan You know there

327
00:16:06,760 --> 00:16:07,720
Speaker 3: is nobody listening.

328
00:16:08,080 --> 00:16:13,920
Speaker 6: The number one vacation is Istanbul Constantinople. Now, Istanbul is

329
00:16:13,960 --> 00:16:18,200
Speaker 6: one of the most historically rich and significant locations of

330
00:16:18,240 --> 00:16:20,000
Speaker 6: any city on the planet.

331
00:16:20,840 --> 00:16:23,160
Speaker 5: I'm just telling you the truth, man, I'm just laying

332
00:16:23,160 --> 00:16:23,880
Speaker 5: it down for you.

333
00:16:24,440 --> 00:16:26,520
Speaker 3: It is now I'm going to end up there somehow,

334
00:16:26,520 --> 00:16:28,120
Speaker 3: and people are going to blow me up on social

335
00:16:28,200 --> 00:16:29,000
Speaker 3: media because I'm.

336
00:16:28,840 --> 00:16:31,160
Speaker 5: Playing buck go to Turkey. Well, has so much fun, dude.

337
00:16:31,360 --> 00:16:33,920
Speaker 6: A lot of guys with mustaches serving a steak is

338
00:16:33,920 --> 00:16:34,440
Speaker 6: all I can tell you.

339
00:16:34,520 --> 00:16:35,200
Speaker 2: It'll be a great guy.

340
00:16:35,720 --> 00:16:38,600
Speaker 3: Not in my top twenty five, but if the standard.

341
00:16:38,600 --> 00:16:43,440
Speaker 3: But you mentioned the services investigation, the court and the

342
00:16:43,480 --> 00:16:47,120
Speaker 3: way they examined it. Remember they wouldn't even allow anything

343
00:16:47,600 --> 00:16:52,000
Speaker 3: that was probably ten x this from the Republican governor

344
00:16:52,120 --> 00:16:56,720
Speaker 3: of Virginia. They convicted him basically of the bribery and

345
00:16:56,760 --> 00:16:58,280
Speaker 3: then they were like, this is garbage.

346
00:16:58,320 --> 00:16:59,720
Speaker 2: The Supreme Court tossed it back.

347
00:17:00,280 --> 00:17:03,160
Speaker 6: That's right, And that was that was Governor Bob McDonald

348
00:17:03,240 --> 00:17:05,200
Speaker 6: and even some conservatives. You know, I was doing solo

349
00:17:05,280 --> 00:17:06,479
Speaker 6: rate at the time, Clay, and I was like, this

350
00:17:06,520 --> 00:17:08,720
Speaker 6: is crazy, this is over itat some conservatives like, no,

351
00:17:08,840 --> 00:17:12,280
Speaker 6: like we can't stand for corruption. I'm like corruption. This

352
00:17:12,359 --> 00:17:15,320
Speaker 6: guy's like, hey, here's a Rolex and then yeah, if

353
00:17:15,320 --> 00:17:17,800
Speaker 6: he signs a law that says that this guy's company

354
00:17:17,800 --> 00:17:21,199
Speaker 6: gets some special tax break, that's corruption. But he was

355
00:17:21,240 --> 00:17:22,480
Speaker 6: just hanging out with him.

356
00:17:22,720 --> 00:17:26,960
Speaker 3: Yeah, they were like longtime friends. And again there was

357
00:17:27,040 --> 00:17:30,240
Speaker 3: also they've come after like Clarence Thomas for flying on

358
00:17:30,320 --> 00:17:33,080
Speaker 3: private jets, right, Like, this is ridiculous a lot.

359
00:17:33,200 --> 00:17:36,680
Speaker 6: There was never even an allegation that he did something

360
00:17:36,880 --> 00:17:40,480
Speaker 6: as governor for the person who gave him the gift.

361
00:17:40,480 --> 00:17:42,200
Speaker 5: Now you could say, you know what I'm saying.

362
00:17:42,000 --> 00:17:45,320
Speaker 3: Like Buck, the quid pro quo in the Eric Adams

363
00:17:45,440 --> 00:17:50,399
Speaker 3: case is that he helped them deal with challenges associated

364
00:17:50,440 --> 00:17:55,879
Speaker 3: with firearms in the Turkish consulate. I mean, are you

365
00:17:56,000 --> 00:17:59,240
Speaker 3: really arguing that that this was some ma I mean,

366
00:17:59,359 --> 00:18:01,600
Speaker 3: that is what That's the only real thing they're able

367
00:18:01,640 --> 00:18:04,280
Speaker 3: to peg of his behavior, Like what did they get

368
00:18:04,320 --> 00:18:05,000
Speaker 3: back for this?

369
00:18:06,080 --> 00:18:11,120
Speaker 6: I just better fire alarm treatment. But here's where people

370
00:18:11,160 --> 00:18:13,800
Speaker 6: have started to really hone in on this. You're gonna

371
00:18:13,840 --> 00:18:19,199
Speaker 6: tell me that if Eric Adams hadn't ticked off the

372
00:18:19,240 --> 00:18:23,800
Speaker 6: White House and hadn't spoken out and became a national

373
00:18:23,840 --> 00:18:27,639
Speaker 6: news story multiple days, multiple news cycles over the last

374
00:18:27,760 --> 00:18:30,960
Speaker 6: year in the election year, talking about how the migrants

375
00:18:30,960 --> 00:18:33,639
Speaker 6: are swamping a city, talking about the migrant crime, how

376
00:18:33,640 --> 00:18:36,520
Speaker 6: they're attacking NYPD officers, et cetera, et cetera. All these

377
00:18:36,520 --> 00:18:40,400
Speaker 6: different stories that they had had that a federal prosecutor

378
00:18:40,480 --> 00:18:46,240
Speaker 6: who works for Biden's DOJ would bring this case now.

379
00:18:47,359 --> 00:18:50,280
Speaker 6: The only reason they're bringing this case now is because

380
00:18:50,520 --> 00:18:54,440
Speaker 6: Eric Adams has been cast out, if you will, from

381
00:18:54,520 --> 00:18:59,159
Speaker 6: the Democrat faithful and no longer has the protection of

382
00:18:59,560 --> 00:19:03,520
Speaker 6: King Biden. That's what And it sends a message to

383
00:19:03,600 --> 00:19:06,480
Speaker 6: any other Democrats who, by the way, also Clay have

384
00:19:06,600 --> 00:19:10,159
Speaker 6: their cities overham with migrants. You better shut your mouth.

385
00:19:10,560 --> 00:19:12,280
Speaker 6: Look what we can do to Adams.

386
00:19:12,200 --> 00:19:15,640
Speaker 5: Because otherwise this is they're going back to twenty sixteen.

387
00:19:15,680 --> 00:19:17,800
Speaker 6: Like I said, you're bringing this now. You couldn't wait

388
00:19:17,880 --> 00:19:20,119
Speaker 6: until late November to bring this case.

389
00:19:20,760 --> 00:19:24,280
Speaker 3: How about just wait until the election, which is in

390
00:19:24,440 --> 00:19:27,440
Speaker 3: June of next year, and let people decide whether they

391
00:19:27,480 --> 00:19:30,640
Speaker 3: want Eric Adams to remain the mayor. But I want

392
00:19:30,640 --> 00:19:33,880
Speaker 3: to play to your point, Buck, this is when he

393
00:19:33,960 --> 00:19:37,719
Speaker 3: really kind of a game, became persona non grata with

394
00:19:37,960 --> 00:19:41,159
Speaker 3: the Biden White House when he back in September of

395
00:19:41,200 --> 00:19:46,080
Speaker 3: twenty twenty three, in a public setting, said hey, this

396
00:19:46,200 --> 00:19:50,000
Speaker 3: is going to destroy the city and the city's budget.

397
00:19:50,119 --> 00:19:53,320
Speaker 3: The migrant surge in New York City cut fourteen.

398
00:19:53,680 --> 00:19:56,560
Speaker 8: Let me tell you something, New York is never in

399
00:19:56,640 --> 00:20:00,119
Speaker 8: my life. Have I had a problem that I I'm

400
00:20:00,160 --> 00:20:01,000
Speaker 8: not seeing ended.

401
00:20:01,080 --> 00:20:03,199
Speaker 5: Two, I don't see an ending to this.

402
00:20:04,400 --> 00:20:08,359
Speaker 8: I don't see an ending to this. This issue will

403
00:20:08,440 --> 00:20:13,720
Speaker 8: destroy New York City. Destroy New York City. We get

404
00:20:13,720 --> 00:20:18,440
Speaker 8: in ten thousand migrants a month. One time we were

405
00:20:18,560 --> 00:20:22,479
Speaker 8: just in Venezuela. Now we get Ecuador. Now we get

406
00:20:22,600 --> 00:20:26,960
Speaker 8: Russia speaking coming through Mexico. Now we get Western Africa.

407
00:20:27,280 --> 00:20:29,600
Speaker 8: Now we get people from all over the globe that

408
00:20:29,720 --> 00:20:31,919
Speaker 8: made their minds up that they're going to come through

409
00:20:32,359 --> 00:20:34,879
Speaker 8: the southern part of the border and come into New

410
00:20:34,960 --> 00:20:36,280
Speaker 8: York City.

411
00:20:36,400 --> 00:20:38,840
Speaker 2: Okay, that was when it started.

412
00:20:39,000 --> 00:20:42,760
Speaker 3: Listen to this book, Karine Jean Pierre was asked about this.

413
00:20:42,960 --> 00:20:46,600
Speaker 3: Hey was the mayor targeted because of his criticisms of

414
00:20:46,640 --> 00:20:49,240
Speaker 3: the Biden administra immigration policy?

415
00:20:49,320 --> 00:20:50,960
Speaker 2: This is cut eight. Listen to her.

416
00:20:50,880 --> 00:20:54,639
Speaker 9: Dodge Mayor Eric Adams suggests that he's being targeted by

417
00:20:54,680 --> 00:20:58,000
Speaker 9: the Biden administration over his criticism of the migrant crisis. Now,

418
00:20:58,000 --> 00:21:00,960
Speaker 9: this is the kind of accusation that's similar to what

419
00:21:01,000 --> 00:21:04,520
Speaker 9: we've heard from former President Donald Trump. So what is

420
00:21:04,520 --> 00:21:07,920
Speaker 9: the President's reaction to that kind of language being used

421
00:21:08,160 --> 00:21:08,920
Speaker 9: from a Democrat.

422
00:21:09,160 --> 00:21:11,639
Speaker 10: Look, we have been always very clear The President was

423
00:21:11,680 --> 00:21:13,879
Speaker 10: clear even when he was running in twenty twenty that

424
00:21:13,960 --> 00:21:16,679
Speaker 10: he was going to make sure that DOJ is independent

425
00:21:17,160 --> 00:21:20,879
Speaker 10: and the DOJ is handling this case independently. I'm not

426
00:21:20,880 --> 00:21:21,760
Speaker 10: going to go beyond that.

427
00:21:22,200 --> 00:21:24,919
Speaker 9: And Adams was also at a reception last night with

428
00:21:25,000 --> 00:21:26,040
Speaker 9: the President at the net.

429
00:21:26,080 --> 00:21:26,680
Speaker 11: Did they talk.

430
00:21:27,480 --> 00:21:29,800
Speaker 10: I can confirm to you that the President did not

431
00:21:29,920 --> 00:21:32,119
Speaker 10: see the mayor and they did not speak.

432
00:21:32,960 --> 00:21:34,560
Speaker 3: Oh that's good, Bed, And I didn't know they were

433
00:21:34,560 --> 00:21:36,640
Speaker 3: both at a met gala last night.

434
00:21:36,680 --> 00:21:38,320
Speaker 2: Buck. Here's Donald Trump. Yesterday.

435
00:21:38,359 --> 00:21:40,800
Speaker 3: We talked about the fact that we thought he would

436
00:21:40,880 --> 00:21:43,640
Speaker 3: potentially raise this as an issue at his press conference

437
00:21:43,640 --> 00:21:46,439
Speaker 3: in New York City, Trump said Eric Adams is being

438
00:21:46,480 --> 00:21:48,960
Speaker 3: targeted because he spoke out on the migrant crisis.

439
00:21:49,000 --> 00:21:49,919
Speaker 2: Listen to cut nine.

440
00:21:50,000 --> 00:21:53,200
Speaker 6: I watched about a year ago when he talked about

441
00:21:53,200 --> 00:21:56,280
Speaker 6: how the illegal migrants are hurting our city and the

442
00:21:56,320 --> 00:21:59,199
Speaker 6: federal government should pay us and we shouldn't have to

443
00:21:59,200 --> 00:21:59,560
Speaker 6: take him.

444
00:21:59,600 --> 00:22:02,080
Speaker 2: And I say, you know what, He'll be indicted.

445
00:22:01,840 --> 00:22:02,480
Speaker 5: Within a year.

446
00:22:02,520 --> 00:22:05,240
Speaker 2: And I was exactly right, because that's what we have.

447
00:22:05,560 --> 00:22:09,960
Speaker 1: We have people that use the Justice Department and the

448
00:22:10,040 --> 00:22:13,200
Speaker 1: FBI at levels that have never been seen before.

449
00:22:13,400 --> 00:22:15,679
Speaker 5: So I wish him luck. I don't know anything about

450
00:22:15,760 --> 00:22:16,400
Speaker 5: what he did.

451
00:22:17,560 --> 00:22:23,480
Speaker 3: Okay, Buck, that was I think kind of many people

452
00:22:23,520 --> 00:22:29,399
Speaker 3: across America recognizing that it's not even necessarily the party name,

453
00:22:30,040 --> 00:22:33,440
Speaker 3: it's are you in good standing with the Biden Department

454
00:22:33,440 --> 00:22:35,879
Speaker 3: of Justice or not, because even if you've got a

455
00:22:35,920 --> 00:22:39,080
Speaker 3: D by your name, if you cross them, they want

456
00:22:39,080 --> 00:22:42,119
Speaker 3: to send a message that there is pain and punishment

457
00:22:42,160 --> 00:22:42,920
Speaker 3: coming your way.

458
00:22:43,840 --> 00:22:46,800
Speaker 6: Look at how the Democrats operate, Clay. As a general rule,

459
00:22:47,560 --> 00:22:49,840
Speaker 6: they operate like a mafia family.

460
00:22:49,920 --> 00:22:51,480
Speaker 2: I mean they you know, as.

461
00:22:51,359 --> 00:22:56,520
Speaker 6: Long as you do what the apparatus wants, you will

462
00:22:56,560 --> 00:22:59,040
Speaker 6: be protected and you'll be taken care of, even if

463
00:22:59,080 --> 00:23:01,280
Speaker 6: you got a you know, on your sword, so to speak,

464
00:23:01,359 --> 00:23:03,959
Speaker 6: and maybe go away for all whatever. But if you

465
00:23:04,040 --> 00:23:07,240
Speaker 6: step out of line with the powers that be, they

466
00:23:07,280 --> 00:23:09,480
Speaker 6: want to make an example of you. I mean, listen

467
00:23:09,520 --> 00:23:12,800
Speaker 6: to what Eric Adams said there. He said, they're destroying

468
00:23:12,880 --> 00:23:15,120
Speaker 6: New York City. He didn't say like, hey, we could

469
00:23:15,240 --> 00:23:18,120
Speaker 6: use a little more money like for the they're destroying

470
00:23:18,200 --> 00:23:21,760
Speaker 6: New York City. And that SoundBite really resonated across the

471
00:23:21,800 --> 00:23:24,120
Speaker 6: country because the same thing's happening in Chicago. The same

472
00:23:24,119 --> 00:23:27,439
Speaker 6: thing's happening in, you know, a whole range of cities

473
00:23:27,440 --> 00:23:30,120
Speaker 6: all across America right now where you're getting all these

474
00:23:30,160 --> 00:23:33,320
Speaker 6: migrants that are being busted in or flown in, and

475
00:23:34,480 --> 00:23:36,840
Speaker 6: there's just no way to see this, I think other

476
00:23:36,880 --> 00:23:40,360
Speaker 6: than this is a huge vulnerability for the Democrats going

477
00:23:40,359 --> 00:23:43,480
Speaker 6: into the midterms, and bringing this case when they did

478
00:23:43,880 --> 00:23:46,960
Speaker 6: is a shot across the bow to any mayor any

479
00:23:47,040 --> 00:23:49,840
Speaker 6: governor any Democrat who thinks they're going to get a

480
00:23:49,840 --> 00:23:54,320
Speaker 6: little uh, you know, a little huffy about the migrant issues.

481
00:23:54,359 --> 00:23:55,560
Speaker 5: How shut up?

482
00:23:55,920 --> 00:23:58,080
Speaker 3: How about just honest. I mean, he didn't say anything

483
00:23:58,080 --> 00:24:00,720
Speaker 3: out landish. It's all just the truth.

484
00:24:01,320 --> 00:24:01,560
Speaker 5: Yeah.

485
00:24:01,600 --> 00:24:05,359
Speaker 6: You basically it's hey, Democrats, you better go along and

486
00:24:05,400 --> 00:24:09,640
Speaker 6: pretend like Kamala Harris hasn't destroyed the border with Joe

487
00:24:09,640 --> 00:24:13,320
Speaker 6: Biden and hasn't completely made our sovereignty a joke. Or

488
00:24:13,359 --> 00:24:15,720
Speaker 6: we'll come for you too. And that's clay in a sense.

489
00:24:15,760 --> 00:24:18,879
Speaker 6: Why is the Eric Adams prosecution right now so powerful

490
00:24:19,160 --> 00:24:22,399
Speaker 6: as that messaging, Because first of all, he's got Republicans

491
00:24:22,400 --> 00:24:24,520
Speaker 6: basically defending him like you and me. I mean, yeah,

492
00:24:24,560 --> 00:24:26,080
Speaker 6: it's like a little slimy some of the stuff he

493
00:24:26,080 --> 00:24:28,320
Speaker 6: did fine, but I mean it's not big stuff. I mean,

494
00:24:28,320 --> 00:24:30,159
Speaker 6: this isn't like, oh my gosh, lock him up, like

495
00:24:30,200 --> 00:24:33,560
Speaker 6: people's businesses were ruined because of this Clay. The message

496
00:24:33,600 --> 00:24:37,320
Speaker 6: is sent very powerfully to Democrats. We can get you

497
00:24:37,520 --> 00:24:41,480
Speaker 6: two if we can get Eric Adams on business class upgrades.

498
00:24:41,520 --> 00:24:42,760
Speaker 6: Who do you think you are?

499
00:24:43,359 --> 00:24:44,880
Speaker 2: Business class? I just can't play.

500
00:24:44,920 --> 00:24:48,160
Speaker 3: And even the print quote quid pro quote what they

501
00:24:48,240 --> 00:24:52,640
Speaker 3: got help with fire awarms? I mean, this is this

502
00:24:52,720 --> 00:24:54,680
Speaker 3: is one of the craziest cases I've ever seen. You

503
00:24:54,760 --> 00:24:58,000
Speaker 3: got a better airplane and a better hotel room and

504
00:24:58,080 --> 00:24:59,560
Speaker 3: what did Okay, well, what did they get?

505
00:24:59,560 --> 00:25:00,239
Speaker 2: What did they get him?

506
00:25:00,280 --> 00:25:03,040
Speaker 3: That to you four so you could call and help,

507
00:25:03,119 --> 00:25:04,600
Speaker 3: get fire alarm help.

508
00:25:05,119 --> 00:25:06,960
Speaker 6: And he didn't get ten million that This is what

509
00:25:07,000 --> 00:25:09,119
Speaker 6: we have to really nail this down. I think he

510
00:25:09,200 --> 00:25:12,320
Speaker 6: got ten thousand dollars of straw donations, which is not good.

511
00:25:12,320 --> 00:25:14,200
Speaker 6: I mean, you're not allowed to do that. That's a crime,

512
00:25:14,320 --> 00:25:16,520
Speaker 6: but it's ten it's a ten thousand dollars crime. They

513
00:25:16,600 --> 00:25:19,640
Speaker 6: keep saying ten million dollars because he then like leveraged

514
00:25:19,680 --> 00:25:21,960
Speaker 6: that to access state funds. And I'm like, hold hold

515
00:25:22,000 --> 00:25:24,439
Speaker 6: on a second. It feels like they're puffing things up

516
00:25:24,440 --> 00:25:24,920
Speaker 6: a little bit.

517
00:25:24,920 --> 00:25:26,760
Speaker 2: On this one.

518
00:25:27,840 --> 00:25:31,879
Speaker 1: You're listening to twenty four The Most Important Tier in

519
00:25:31,960 --> 00:25:35,000
Speaker 1: Politics with Clay Travis and buck Sexton.

520
00:25:36,920 --> 00:25:40,000
Speaker 3: Welcome back in Clay Travis buck Sexton Show. We are

521
00:25:40,119 --> 00:25:44,280
Speaker 3: joined now by Ryan Gerdusky, National Populist Newsletter, founder of

522
00:25:44,320 --> 00:25:48,000
Speaker 3: the seventeen seventy six Project Pack, and I've been reading

523
00:25:48,680 --> 00:25:51,200
Speaker 3: his substack I believe it is, which has a lot

524
00:25:51,200 --> 00:25:56,280
Speaker 3: of data and analytics as it pertains to election date

525
00:25:56,359 --> 00:25:58,280
Speaker 3: out there. And Ryan, I want to start with this.

526
00:25:58,320 --> 00:26:00,200
Speaker 3: I think I read this on Friday of Life last

527
00:26:00,280 --> 00:26:04,040
Speaker 3: week or thereabouts, maybe over the weekend. You went into

528
00:26:04,040 --> 00:26:06,439
Speaker 3: the cross tabs and kind of looked at the data

529
00:26:06,520 --> 00:26:09,760
Speaker 3: coming out of Pennsylvania and you've compared it to twenty

530
00:26:09,800 --> 00:26:13,720
Speaker 3: sixteen and twenty twenty, and your theory of why these

531
00:26:14,440 --> 00:26:20,200
Speaker 3: polls have drastically under reported Donald Trump's strength and sixteen

532
00:26:20,240 --> 00:26:26,280
Speaker 3: and twenty is older white voters being underrepresented and not

533
00:26:26,480 --> 00:26:30,439
Speaker 3: accurately reflected in poll results. Walk our audience through it.

534
00:26:30,520 --> 00:26:32,800
Speaker 3: I found it to be a really persuasive argument.

535
00:26:34,080 --> 00:26:37,600
Speaker 7: Right so on the National Populous Newsletter on Substack, which

536
00:26:37,640 --> 00:26:40,480
Speaker 7: is my substack. Nate Cohen, who runs the New York

537
00:26:40,480 --> 00:26:44,560
Speaker 7: Times polling stuff at the Sanna University. They had Trump

538
00:26:44,640 --> 00:26:49,480
Speaker 7: tied nationally but losing Pennsylvania by four. And the big

539
00:26:49,600 --> 00:26:52,159
Speaker 7: question was why Nate Cohen even went through Twitter and

540
00:26:52,160 --> 00:26:54,080
Speaker 7: said again was responding to people saying, well, it's not

541
00:26:54,080 --> 00:26:56,520
Speaker 7: through this sub group. It's not through this subgroup. And

542
00:26:56,560 --> 00:26:59,159
Speaker 7: the group you never mentioned was seniors. In the New

543
00:26:59,240 --> 00:27:02,920
Speaker 7: York Times, nationally, Trump is winning seniors by six. This

544
00:27:02,960 --> 00:27:05,760
Speaker 7: is a group that he won them by four last time,

545
00:27:06,000 --> 00:27:07,880
Speaker 7: and he won them by I think it was nine

546
00:27:07,960 --> 00:27:11,320
Speaker 7: the time. Before then, republic seniors had voted Republican in

547
00:27:11,359 --> 00:27:14,919
Speaker 7: every election, majority in every election going back at least

548
00:27:15,240 --> 00:27:18,200
Speaker 7: twenty five years. So it is a very good assumption

549
00:27:18,240 --> 00:27:21,080
Speaker 7: to say seniors will be voting Republican this time as well.

550
00:27:21,640 --> 00:27:25,640
Speaker 7: Seniors in Pennsylvania vote to the right of seniors nationally.

551
00:27:26,119 --> 00:27:29,760
Speaker 7: So in twenty twelve, Romney won seniors nationally by twelve.

552
00:27:29,840 --> 00:27:33,080
Speaker 7: He won seniors in Pennsylvania by fourteen. In sixteen, Trump

553
00:27:33,119 --> 00:27:36,280
Speaker 7: won them by nine nationally, ten in Pennsylvania. In twenty

554
00:27:36,359 --> 00:27:39,480
Speaker 7: Trump won them by four nationally seven in Pennsylvania, so

555
00:27:39,800 --> 00:27:41,800
Speaker 7: they vote to the right. In the New York Times

556
00:27:41,880 --> 00:27:45,520
Speaker 7: Siena poll, Trump is winning seniors nationally by six but

557
00:27:45,760 --> 00:27:49,360
Speaker 7: losing seniors in Pennsylvania by three. Now I know they say,

558
00:27:49,400 --> 00:27:52,760
Speaker 7: don't get sit there, don't get so tied up in

559
00:27:52,480 --> 00:27:55,239
Speaker 7: in cross tabs. But at the same exact time, this

560
00:27:55,280 --> 00:27:57,480
Speaker 7: is not a crosshub of like Hispanics, which make a

561
00:27:57,520 --> 00:28:00,919
Speaker 7: five percent of Pennsylvania, so they have stremely high margins

562
00:28:00,920 --> 00:28:04,240
Speaker 7: of error. Seniors in Pennsylvania are a third of voters.

563
00:28:04,280 --> 00:28:07,280
Speaker 7: The margin of error is fairly low. He probably will

564
00:28:07,359 --> 00:28:10,199
Speaker 7: be winning seniors by close to ten points, which is

565
00:28:10,240 --> 00:28:13,040
Speaker 7: a if the national poll is correct at six, they'll

566
00:28:13,040 --> 00:28:15,879
Speaker 7: probably win close to ten points among seniors, and that

567
00:28:16,480 --> 00:28:20,520
Speaker 7: thirteen point difference is the margin between him winning or losing.

568
00:28:20,520 --> 00:28:22,159
Speaker 7: And I only made a big point of the New

569
00:28:22,240 --> 00:28:25,720
Speaker 7: York Times poll is because in all these polling aggregators,

570
00:28:25,800 --> 00:28:28,720
Speaker 7: Nate Silva wrote to the White House, the economists, the

571
00:28:28,720 --> 00:28:31,000
Speaker 7: New York Times, Cenapol puts a lot, They put a

572
00:28:31,000 --> 00:28:34,280
Speaker 7: lot of weight into that polling institution. So when they

573
00:28:34,359 --> 00:28:37,880
Speaker 7: all sit there and say, well, Harris's favor to win Pennsylvania,

574
00:28:37,960 --> 00:28:39,440
Speaker 7: a lot of it is because of the New York

575
00:28:39,440 --> 00:28:43,320
Speaker 7: Times Sanapol, which I think personally has this flaw of

576
00:28:43,400 --> 00:28:46,719
Speaker 7: not correctly waiting the senior vote. And it's the same mistake,

577
00:28:46,760 --> 00:28:49,240
Speaker 7: I mind you, that they made in twenty twenty and

578
00:28:49,400 --> 00:28:52,400
Speaker 7: in twenty sixteen, but more especially in twenty twenty when

579
00:28:52,440 --> 00:28:55,320
Speaker 7: they were looking at how Biden and Trump were going

580
00:28:55,360 --> 00:28:58,400
Speaker 7: to do. It was the same exact group. Because liberal seniors,

581
00:28:58,440 --> 00:29:01,320
Speaker 7: older liberals who like listen Rachel Mattow every day and

582
00:29:01,560 --> 00:29:04,320
Speaker 7: thinks she's the voice of God, really love to tell

583
00:29:04,400 --> 00:29:06,440
Speaker 7: strangers their opinions on Donald Trump.

584
00:29:07,920 --> 00:29:14,200
Speaker 6: Ryan, if you had to assess whether the Kamala campaign

585
00:29:15,040 --> 00:29:18,440
Speaker 6: is based on the data aware that they are behind,

586
00:29:18,480 --> 00:29:19,800
Speaker 6: they obviously won't say that.

587
00:29:20,920 --> 00:29:21,720
Speaker 5: Is it clear enough?

588
00:29:21,760 --> 00:29:23,960
Speaker 6: You think that even that they would know, even if

589
00:29:24,000 --> 00:29:27,120
Speaker 6: they won't say it publicly, that they're trailing. And also,

590
00:29:27,360 --> 00:29:29,840
Speaker 6: what's your assessment of Kamala with women?

591
00:29:31,600 --> 00:29:33,960
Speaker 7: So that's a really great question about Kamala of women,

592
00:29:34,000 --> 00:29:37,120
Speaker 7: because the perception out in the media, and I guess

593
00:29:37,120 --> 00:29:39,760
Speaker 7: the perception for even myself as a voter, was that

594
00:29:39,960 --> 00:29:43,080
Speaker 7: Kamala is going to break all these numbers with women,

595
00:29:43,200 --> 00:29:46,120
Speaker 7: record breaking support among women. And I decided on the

596
00:29:46,120 --> 00:29:49,560
Speaker 7: Substack national populist newsletter Substack to break down all the polling,

597
00:29:49,600 --> 00:29:51,640
Speaker 7: and I broke it down between two sets of polls

598
00:29:51,840 --> 00:29:54,600
Speaker 7: polls that have Kamala surging with more than a four

599
00:29:54,640 --> 00:29:58,360
Speaker 7: percent margin of victory nationwide and polls that have a

600
00:29:58,480 --> 00:30:02,680
Speaker 7: very very close election, And shockingly, Kamala performs with women

601
00:30:02,920 --> 00:30:06,360
Speaker 7: the same exact way. In both sets of polls. She

602
00:30:06,520 --> 00:30:10,600
Speaker 7: beats Donald Trump on average by fifteen points, no matter

603
00:30:10,640 --> 00:30:13,280
Speaker 7: if the race shows at being very tied or the

604
00:30:13,360 --> 00:30:17,800
Speaker 7: race shows that kam Wala blowout the polling. The polling

605
00:30:17,880 --> 00:30:21,080
Speaker 7: difference is not among women. She does not perform any

606
00:30:21,080 --> 00:30:24,680
Speaker 7: better with women than Joe Biden did or Hillary Clinton did.

607
00:30:24,720 --> 00:30:27,640
Speaker 7: It's they both had about a fifteen point margin over

608
00:30:27,720 --> 00:30:30,800
Speaker 7: Donald Trump in twenty twenty and twenty sixteen, respectively. So

609
00:30:31,560 --> 00:30:34,080
Speaker 7: she is not winning over many new women voters. This

610
00:30:34,160 --> 00:30:37,280
Speaker 7: whole perception that there's this army of pro choice women

611
00:30:37,600 --> 00:30:40,480
Speaker 7: who never voted before and they're voting for the very

612
00:30:40,520 --> 00:30:44,200
Speaker 7: first time. That one isn't true historically, but true, it's

613
00:30:44,240 --> 00:30:47,200
Speaker 7: not even in the data this time. The entire difference

614
00:30:47,280 --> 00:30:50,280
Speaker 7: is among men. The big question is is Donald Trump

615
00:30:50,320 --> 00:30:52,720
Speaker 7: going to perform his Joe Biden numbers among men when

616
00:30:52,760 --> 00:30:55,840
Speaker 7: he won men by a four point margin or somewhere

617
00:30:55,840 --> 00:30:58,320
Speaker 7: around there, or is going to perform among men like

618
00:30:58,360 --> 00:31:01,040
Speaker 7: he did against Hillary Clinton, which was at eleven point margin.

619
00:31:01,280 --> 00:31:04,440
Speaker 7: That's the entire really difference. And they break into different

620
00:31:04,480 --> 00:31:07,400
Speaker 7: subcategories like black men, Hispanic men, YadA, YadA, YadA. But

621
00:31:07,800 --> 00:31:10,320
Speaker 7: it's the question of men is how well is Donald

622
00:31:10,360 --> 00:31:13,080
Speaker 7: Trump performed with men? Is this the men the main election?

623
00:31:13,480 --> 00:31:18,400
Speaker 7: Because with women it seems fairly unchanged completely. When it

624
00:31:18,440 --> 00:31:20,480
Speaker 7: comes to the voting data, look, we're starting to see

625
00:31:20,520 --> 00:31:22,880
Speaker 7: early votes come in. A lot of states do not

626
00:31:23,040 --> 00:31:27,280
Speaker 7: have voter registration by political party, like Virginia. Virginia has

627
00:31:27,280 --> 00:31:29,400
Speaker 7: already had one hundred and fifty thousand people vote in it,

628
00:31:29,640 --> 00:31:31,960
Speaker 7: but we don't know if the Republicans or Democrats because

629
00:31:31,960 --> 00:31:34,920
Speaker 7: they don't register voters by party. We just know if

630
00:31:34,920 --> 00:31:37,560
Speaker 7: their conservative districts or their liberal districts. And a lot

631
00:31:37,640 --> 00:31:40,719
Speaker 7: of conservative districts voting. Early voting turnout is over one

632
00:31:40,760 --> 00:31:43,120
Speaker 7: hundred percent of where it was in twenty twentieth this time,

633
00:31:43,480 --> 00:31:46,520
Speaker 7: and in some liberal districts they have hit that point

634
00:31:46,600 --> 00:31:49,160
Speaker 7: and they've even surpassed it, like in fair Fact City.

635
00:31:50,240 --> 00:31:51,760
Speaker 7: But what we're looking at right now is a lot

636
00:31:51,800 --> 00:31:53,760
Speaker 7: of mail in data, and the mail in data in

637
00:31:53,800 --> 00:31:57,200
Speaker 7: the ballot requests in Pennsylvania, Democrats are down fairly large.

638
00:31:57,640 --> 00:32:01,600
Speaker 7: The numbers are about four percentage points than they were

639
00:32:01,920 --> 00:32:04,600
Speaker 7: back in twenty twenty. In North Carolina they were down

640
00:32:04,640 --> 00:32:06,520
Speaker 7: a big, big, big time. As far as people with

641
00:32:06,600 --> 00:32:10,280
Speaker 7: early mailer ballot requests, does that mean that they won't

642
00:32:10,320 --> 00:32:12,920
Speaker 7: vote at all because they didn't get the early ballot requests?

643
00:32:13,040 --> 00:32:17,400
Speaker 7: I don't know. But the early ballot requests for Democrats

644
00:32:17,400 --> 00:32:19,640
Speaker 7: where they're going to mail in tons of votes and

645
00:32:19,640 --> 00:32:22,800
Speaker 7: basically have these votes ready to account it on election day,

646
00:32:23,000 --> 00:32:24,840
Speaker 7: that doesn't look like it's happening so far.

647
00:32:25,320 --> 00:32:28,000
Speaker 2: We're talking to Ryan Gardusky. Okay, two parter here for you.

648
00:32:28,120 --> 00:32:32,000
Speaker 3: Ryan Buck and I both believe that Joe Biden is

649
00:32:32,080 --> 00:32:36,160
Speaker 3: going to outperform Kamala. That is, Biden's twenty twenty numbers

650
00:32:36,280 --> 00:32:40,920
Speaker 3: are going to outperform Kamalas twenty twenty four numbers. I'm

651
00:32:40,960 --> 00:32:43,480
Speaker 3: curious if you would agree with that. That's nationwide, not

652
00:32:43,560 --> 00:32:46,760
Speaker 3: on an individual state basis. Second part of this question,

653
00:32:47,280 --> 00:32:50,080
Speaker 3: if you had to place a wager right now, would

654
00:32:50,160 --> 00:32:52,760
Speaker 3: you place a wager on Trump to win in twenty

655
00:32:52,840 --> 00:32:55,520
Speaker 3: twenty four based on the data analytics as you see it,

656
00:32:55,680 --> 00:32:58,000
Speaker 3: or would you place a wager on Kamala to win.

657
00:32:59,040 --> 00:33:02,680
Speaker 3: It's too I think, kind of essence of the election questions.

658
00:33:02,720 --> 00:33:05,360
Speaker 3: But first, how will Kamala do compared to Biden.

659
00:33:07,000 --> 00:33:10,280
Speaker 7: Well, she's almost certain to get lower because Trump's numbers

660
00:33:10,320 --> 00:33:12,680
Speaker 7: have basically been stagnant. I think he got forty six

661
00:33:12,720 --> 00:33:15,360
Speaker 7: point two percent the first time, forty six point eight

662
00:33:15,360 --> 00:33:19,000
Speaker 7: percent the second time. Trump's numbers are fairly fixed. I

663
00:33:19,000 --> 00:33:21,720
Speaker 7: have a very difficult time seeing how if you voted

664
00:33:21,720 --> 00:33:23,400
Speaker 7: for him in sixteen, and how you voted for him

665
00:33:23,440 --> 00:33:24,760
Speaker 7: in twenty that to all of a sudden, you're not

666
00:33:24,800 --> 00:33:27,040
Speaker 7: going to vote for him in twenty four. That's when

667
00:33:27,120 --> 00:33:30,440
Speaker 7: they show these huge swings away from college educated whites.

668
00:33:30,720 --> 00:33:32,320
Speaker 7: I think to myself, and now I don't have any

669
00:33:32,480 --> 00:33:34,640
Speaker 7: data to prove this, but I think he when forty

670
00:33:34,680 --> 00:33:37,600
Speaker 7: four percent of that group in two straight elections. I

671
00:33:37,680 --> 00:33:39,320
Speaker 7: don't really see how many of them are going to

672
00:33:39,360 --> 00:33:40,760
Speaker 7: sit there and be like, oh, you know, this third

673
00:33:40,800 --> 00:33:42,880
Speaker 7: time that got gone, you know, a bridge too far.

674
00:33:43,560 --> 00:33:46,200
Speaker 7: So she's most certainly going to be doing worse. The

675
00:33:46,280 --> 00:33:48,880
Speaker 7: question is how much of the independent vote, the third

676
00:33:48,880 --> 00:33:51,240
Speaker 7: party vote is going to be taken up of her.

677
00:33:51,400 --> 00:33:54,120
Speaker 7: Of her numbers the third party vote was detrimental to

678
00:33:54,200 --> 00:33:56,920
Speaker 7: Hillary in twenty sixteen, there was a much smaller part

679
00:33:56,920 --> 00:33:59,320
Speaker 7: of it, and a lot of those anti Hillary voters

680
00:33:59,440 --> 00:34:02,520
Speaker 7: just went to o'biden. I would say She's probably run

681
00:34:02,640 --> 00:34:05,000
Speaker 7: forty nine percent in the polls, and Trump's are forty

682
00:34:05,000 --> 00:34:08,560
Speaker 7: seven or forty eight percent, but that's really where it is.

683
00:34:08,600 --> 00:34:10,560
Speaker 7: So yeah, she'll be much lower. She'll be lower by

684
00:34:10,600 --> 00:34:13,719
Speaker 7: a good point point and a half percent. What Buck

685
00:34:13,800 --> 00:34:16,680
Speaker 7: was saying in the previous segment of Hispanic support increasing

686
00:34:16,760 --> 00:34:19,440
Speaker 7: or Black support increasing. If the numbers are real and

687
00:34:19,600 --> 00:34:22,840
Speaker 7: Hispanic supporters are increasing, you may see a situation where

688
00:34:23,000 --> 00:34:26,600
Speaker 7: New York or Los Angeles are significantly tighter, but that

689
00:34:26,640 --> 00:34:30,440
Speaker 7: does not bear out into an electoral victory. The only

690
00:34:30,480 --> 00:34:33,560
Speaker 7: state that really matters right now is Pennsylvania, because if

691
00:34:33,560 --> 00:34:35,960
Speaker 7: Trump wins North Carolina and Georgia, as he's favored to,

692
00:34:36,360 --> 00:34:41,000
Speaker 7: Pennsylvania flips the entire map. So judging based on Pennsylvania,

693
00:34:41,040 --> 00:34:43,319
Speaker 7: I think based on the Mullerberg poll that just was

694
00:34:43,360 --> 00:34:46,000
Speaker 7: released and the Washington Post poll, and I think of

695
00:34:46,000 --> 00:34:48,040
Speaker 7: the era in the New York Times poll, I think

696
00:34:48,080 --> 00:34:51,120
Speaker 7: I would say Trump, in my opinion, is probably favored

697
00:34:51,120 --> 00:34:53,239
Speaker 7: to win Pennsylvania, not by much. It's not going to

698
00:34:53,280 --> 00:34:56,000
Speaker 7: be a landslide, but that number in Pennsylvania would give

699
00:34:56,040 --> 00:34:58,200
Speaker 7: him the electoral college two seventy he needs.

700
00:34:58,480 --> 00:35:01,080
Speaker 6: And who would the votes be he assuming Trump is

701
00:35:01,080 --> 00:35:04,000
Speaker 6: ahead and does end up winning in Pennsylvania, Ryan, is

702
00:35:04,040 --> 00:35:08,359
Speaker 6: it again that basically white guys, white guys who are

703
00:35:08,600 --> 00:35:11,960
Speaker 6: non college educated, who are the difference makers.

704
00:35:12,280 --> 00:35:15,319
Speaker 7: You're gonna see an uptick in places like Yes One.

705
00:35:15,480 --> 00:35:18,359
Speaker 7: The white vote in Pennsylvania matters immensely, especially the senior vote.

706
00:35:18,360 --> 00:35:21,520
Speaker 7: But you see the numbers and registrations moving significantly. I

707
00:35:21,560 --> 00:35:24,399
Speaker 7: think in one county they say there's four thousand more

708
00:35:24,440 --> 00:35:28,160
Speaker 7: registered people that they've not tabulated yet. You're going to

709
00:35:28,200 --> 00:35:31,920
Speaker 7: see Trump uppick in Hispanic cities and secondary cities like Redding,

710
00:35:32,120 --> 00:35:36,040
Speaker 7: like Lancaster, like Bethlehem. These are huge Hispanic populations. They

711
00:35:36,160 --> 00:35:39,400
Speaker 7: experienced fifteen to twenty point swings from sixteen to twenty.

712
00:35:39,440 --> 00:35:42,239
Speaker 7: You'll see that again, probably maybe at a smaller level,

713
00:35:42,239 --> 00:35:45,200
Speaker 7: but you'll still see an upswing in those areas. You

714
00:35:45,239 --> 00:35:47,600
Speaker 7: won't see the numbers coming out of Pittsburgh and Philly

715
00:35:47,680 --> 00:35:49,440
Speaker 7: that I think people are expecting to sit there and

716
00:35:49,480 --> 00:35:51,960
Speaker 7: see and then Trump is going to have to do

717
00:35:52,239 --> 00:35:56,080
Speaker 7: his sixteen numbers in rural counties and manage to have

718
00:35:56,320 --> 00:36:00,760
Speaker 7: enough medium to big size county victories Eerie County, Landcaster County,

719
00:36:00,840 --> 00:36:04,759
Speaker 7: York County to upset and upstage the numbers coming out

720
00:36:04,760 --> 00:36:10,080
Speaker 7: of the coller counties Delaware County, for example, or Montgomery County.

721
00:36:10,120 --> 00:36:12,520
Speaker 7: Montgomery County is the big one. It's it's an absolute

722
00:36:12,520 --> 00:36:16,560
Speaker 7: Republican killer, is Montgomery County. So if if Kamala breaks

723
00:36:16,560 --> 00:36:18,840
Speaker 7: out of Montgomery County with you know, a forty forty

724
00:36:18,840 --> 00:36:22,680
Speaker 7: five point victory, that would be a very very hard

725
00:36:22,880 --> 00:36:24,320
Speaker 7: number to overcome.

726
00:36:24,480 --> 00:36:26,600
Speaker 5: But this is the Virginia stuff.

727
00:36:26,680 --> 00:36:29,239
Speaker 6: By the way Ryan started started to interpret at the end,

728
00:36:29,640 --> 00:36:33,440
Speaker 6: this is really I'm very curious. Virginia seems much closer

729
00:36:33,960 --> 00:36:36,640
Speaker 6: than a lot of people would have anticipated at this point.

730
00:36:37,239 --> 00:36:40,120
Speaker 6: I believe Governor Youngkin has a sixty percent approval rating

731
00:36:40,160 --> 00:36:42,600
Speaker 6: in the state, which the Republican in state like Virginia

732
00:36:42,760 --> 00:36:47,680
Speaker 6: is really solid. Is Virginia a long shot for Trump

733
00:36:47,840 --> 00:36:49,480
Speaker 6: or is it not a shot for Trump?

734
00:36:50,560 --> 00:36:53,520
Speaker 7: It's still a long shot because of how the liberal

735
00:36:53,560 --> 00:36:56,640
Speaker 7: counties outside of Washington, DC, those super blue counties Fairfax

736
00:36:56,680 --> 00:36:59,800
Speaker 7: for example, had four times the amount of early voters

737
00:36:59,880 --> 00:37:02,280
Speaker 7: in twenty twenty four for the first day of early voting,

738
00:37:02,320 --> 00:37:06,560
Speaker 7: then they did in twenty twenty However, the Red counties,

739
00:37:06,640 --> 00:37:09,879
Speaker 7: the Red counties in smaller areas, they're experiencing overall one

740
00:37:09,960 --> 00:37:12,680
Speaker 7: hundred percent increase in early voter turnout. So it's not

741
00:37:12,719 --> 00:37:14,960
Speaker 7: like just the left is mobilized and the right is

742
00:37:15,000 --> 00:37:17,600
Speaker 7: and they both are equally mobilized. We have to just

743
00:37:17,640 --> 00:37:20,480
Speaker 7: see where those key demographics are breaking. How much are

744
00:37:20,520 --> 00:37:23,520
Speaker 7: hispanics breaking, are Black men breaking, and how much are

745
00:37:23,640 --> 00:37:26,839
Speaker 7: men period breaking? Because the women numbers are very, very

746
00:37:26,840 --> 00:37:28,840
Speaker 7: fairly even as I said the top of the segment,

747
00:37:29,000 --> 00:37:31,560
Speaker 7: the women numbers aren't where it's moving. It's about men.

748
00:37:31,800 --> 00:37:34,239
Speaker 7: Do men come out for Trump in the numbers at

749
00:37:34,280 --> 00:37:35,960
Speaker 7: some of the polls that say it's a tied election,

750
00:37:36,120 --> 00:37:38,480
Speaker 7: do or do they kind of la are their lackluster?

751
00:37:38,600 --> 00:37:43,200
Speaker 7: Are the Joe Biden levels where they underperform what expectations

752
00:37:43,280 --> 00:37:44,520
Speaker 7: or hopes would be from the trumpet.

753
00:37:44,560 --> 00:37:46,600
Speaker 3: We're talking to Ryan Gardeski. By the way, My theory

754
00:37:46,640 --> 00:37:48,439
Speaker 3: on that is just there's a lot of people fed

755
00:37:48,520 --> 00:37:50,960
Speaker 3: up with election advertising and as soon as they can

756
00:37:51,000 --> 00:37:53,000
Speaker 3: get their vote in, whether it's red or blue. They

757
00:37:53,040 --> 00:37:55,040
Speaker 3: just want to get the ballots done, and then they're like,

758
00:37:55,200 --> 00:37:57,719
Speaker 3: I'm out, I'm not paying attention to this anymore. That's

759
00:37:57,760 --> 00:38:00,839
Speaker 3: one theory that I have. Okay, Ryan, question for you,

760
00:38:01,280 --> 00:38:05,680
Speaker 3: will we get any data prior to election day that

761
00:38:05,840 --> 00:38:08,920
Speaker 3: you think could be important in giving it us an indication?

762
00:38:09,000 --> 00:38:11,960
Speaker 3: You mentioned early voting in Virginia. Is there any state

763
00:38:12,000 --> 00:38:15,480
Speaker 3: where we're going to get data that's reliable in any

764
00:38:15,520 --> 00:38:17,440
Speaker 3: way to kind of give us a sense for what

765
00:38:17,600 --> 00:38:19,920
Speaker 3: might be coming prior to election day? Is there anything

766
00:38:19,960 --> 00:38:21,480
Speaker 3: you're waiting for or watching for.

767
00:38:22,800 --> 00:38:26,480
Speaker 7: So the Republican early vote right now in Pennsylvania's twenty

768
00:38:26,520 --> 00:38:29,040
Speaker 7: six percent. It was lower, I think it was maybe

769
00:38:29,120 --> 00:38:31,640
Speaker 7: twenty seven percent, but the Democratic vote went from seventy

770
00:38:31,640 --> 00:38:34,800
Speaker 7: to sixty three. So I think those are the numbers.

771
00:38:34,800 --> 00:38:37,400
Speaker 7: They're roughly around the numbers. So the numbers in the

772
00:38:37,440 --> 00:38:41,319
Speaker 7: early mail in votes in Pennsylvania are five points more

773
00:38:41,360 --> 00:38:45,200
Speaker 7: fareable to Republicans than they were four years ago. I

774
00:38:45,280 --> 00:38:47,920
Speaker 7: want to see where that trend is moving. If Republicans

775
00:38:48,000 --> 00:38:51,319
Speaker 7: can easily cross thirty or maybe thirty one percent and

776
00:38:51,400 --> 00:38:55,440
Speaker 7: Democrats in full under sixty percent, that's an extremely extremely

777
00:38:55,480 --> 00:38:58,560
Speaker 7: good sign for Trump he's winning in the early mail

778
00:38:58,600 --> 00:39:01,279
Speaker 7: in ballot request and a number of small counties. I

779
00:39:01,320 --> 00:39:04,600
Speaker 7: also want to see partially where the Amish counties are heavily.

780
00:39:04,640 --> 00:39:08,040
Speaker 7: Amish areas are pulling up because they apparently I'm this

781
00:39:08,160 --> 00:39:09,919
Speaker 7: big and get out the vote effort on the part

782
00:39:09,920 --> 00:39:13,960
Speaker 7: of Amish voters. Pennsylvania is where it's all at. So

783
00:39:14,040 --> 00:39:16,520
Speaker 7: that's why I want to see Pennsylvania's early ballad request.

784
00:39:16,520 --> 00:39:18,879
Speaker 7: There's already a million. I want to see how far

785
00:39:18,920 --> 00:39:21,880
Speaker 7: it goes and how high percentage wise Republicans go up

786
00:39:21,920 --> 00:39:23,040
Speaker 7: and Democrats go down.

787
00:39:23,680 --> 00:39:24,879
Speaker 2: Ryan appreciate the time.

788
00:39:24,920 --> 00:39:26,680
Speaker 3: I man encourage all of you to go follow Ryan

789
00:39:26,719 --> 00:39:28,680
Speaker 3: on Twitter, by the way, and even mentioned it. Great

790
00:39:28,760 --> 00:39:30,839
Speaker 3: job of late on CNN. It's been fun to see

791
00:39:30,880 --> 00:39:33,239
Speaker 3: you taking a sore into some of these awful arguments.

792
00:39:33,719 --> 00:39:34,719
Speaker 3: So you've been killing it there.

793
00:39:34,840 --> 00:39:36,920
Speaker 7: Pank you hell Ya appreciate.

794
00:39:37,040 --> 00:39:39,880
Speaker 3: So check out check out Ryan's work at at a

795
00:39:39,920 --> 00:39:42,000
Speaker 3: substaff and go follow in on social media. We'll share

796
00:39:42,000 --> 00:39:44,640
Speaker 3: that certainly on clayanbuck dot com. Thanks Ryan, thank you.

797
00:39:47,080 --> 00:39:51,360
Speaker 1: You're listening to twenty four The Year of Impact with

798
00:39:51,560 --> 00:39:52,560
Speaker 1: Clay and Buck.

799
00:39:54,000 --> 00:39:57,520
Speaker 3: Welcome back in Clay Travis Buck Sexton Show. Appreciate all

800
00:39:57,560 --> 00:40:00,360
Speaker 3: of you hanging out with us. We roll through the Friday.

801
00:40:00,160 --> 00:40:02,080
Speaker 2: Edition of the show.

802
00:40:02,160 --> 00:40:03,879
Speaker 3: If some of you were looking for things to check

803
00:40:03,880 --> 00:40:05,759
Speaker 3: out this weekend, maybe you're not going to be like

804
00:40:05,840 --> 00:40:09,400
Speaker 3: me watching a ton of college football, including the Georgia

805
00:40:09,440 --> 00:40:11,920
Speaker 3: Alabama game. Maybe you want to balance out your football

806
00:40:12,040 --> 00:40:16,200
Speaker 3: viewing with some documentary viewing. It is a good way

807
00:40:16,280 --> 00:40:20,200
Speaker 3: to spend your time. And the movie is called Vindicating

808
00:40:20,400 --> 00:40:25,200
Speaker 3: Trump and it is by Denesh Desuza. Denesh, appreciate you

809
00:40:25,280 --> 00:40:28,280
Speaker 3: coming on with us. Why don't you just make the pitch?

810
00:40:28,640 --> 00:40:31,719
Speaker 3: Why should people watch this? What will they learn? What

811
00:40:32,000 --> 00:40:34,440
Speaker 3: surprised you while making this film?

812
00:40:34,480 --> 00:40:35,080
Speaker 2: If anything?

813
00:40:37,320 --> 00:40:42,160
Speaker 11: I began with the premise that Donald Trump is a

814
00:40:42,280 --> 00:40:48,000
Speaker 11: very strange figure because he is so intensely loved and

815
00:40:48,080 --> 00:40:51,839
Speaker 11: so intensely hated. There's one group of people that would

816
00:40:51,880 --> 00:40:54,200
Speaker 11: be willing to take a bullet for him, and there's

817
00:40:54,239 --> 00:40:57,440
Speaker 11: another group of people that will cheer, maybe silently cheer,

818
00:40:57,680 --> 00:41:01,000
Speaker 11: when someone tries to put a bullet in. You have

819
00:41:01,080 --> 00:41:03,840
Speaker 11: to like go back to Lincoln to find a figure

820
00:41:04,160 --> 00:41:10,799
Speaker 11: who is produces this kind of disparate reaction. So how

821
00:41:10,800 --> 00:41:13,319
Speaker 11: do you explain it? What is it about Trump that

822
00:41:13,880 --> 00:41:18,560
Speaker 11: causes some people to become undyingly loyal to him, and

823
00:41:18,680 --> 00:41:21,600
Speaker 11: other people to hate him with such a passion that

824
00:41:21,680 --> 00:41:24,920
Speaker 11: they will stop at nothing to get rid of him,

825
00:41:25,000 --> 00:41:29,560
Speaker 11: all the way from character assassination to political assassination to

826
00:41:29,719 --> 00:41:33,240
Speaker 11: law fair, which is a kind of legal assassination, to well,

827
00:41:33,480 --> 00:41:38,360
Speaker 11: now we have two actual assassination attempts. So what we

828
00:41:38,440 --> 00:41:40,480
Speaker 11: do in this film, the centerpiece of the film is

829
00:41:40,480 --> 00:41:44,560
Speaker 11: a one on one with Trump, in which I set

830
00:41:44,600 --> 00:41:48,640
Speaker 11: myself the task of trying to bring out a certain

831
00:41:49,320 --> 00:41:54,080
Speaker 11: hidden or private dimension of his personality and character that

832
00:41:54,239 --> 00:41:56,960
Speaker 11: he himself tries not to show you. He has a

833
00:41:57,040 --> 00:42:00,799
Speaker 11: kind of a manly aversion to showing you his his feelings,

834
00:42:01,040 --> 00:42:04,800
Speaker 11: his vulnerability, even the way that his inner mind works.

835
00:42:05,080 --> 00:42:06,600
Speaker 11: And so I try very hard, and I think I

836
00:42:06,680 --> 00:42:09,239
Speaker 11: succeed in this film and showing you an aspect of

837
00:42:09,320 --> 00:42:11,800
Speaker 11: Donald Trump that hasn't been widely seen.

838
00:42:13,120 --> 00:42:16,120
Speaker 6: Speaking of Denessh Desuza vindicating Trump as his movie out

839
00:42:16,160 --> 00:42:19,759
Speaker 6: in theaters now in Denesh. To that end, my understanding

840
00:42:19,840 --> 00:42:24,440
Speaker 6: is Alena Haba and Laura Trump, his daughter in law,

841
00:42:25,200 --> 00:42:29,120
Speaker 6: feature pretty prominently to present some of that broader picture

842
00:42:29,120 --> 00:42:31,479
Speaker 6: of Trump. And one thing that Clay and I from

843
00:42:31,640 --> 00:42:34,319
Speaker 6: our interactions with him professionally and denish, I can tell

844
00:42:34,360 --> 00:42:36,520
Speaker 6: you I met Trump in New York the first time.

845
00:42:36,560 --> 00:42:38,400
Speaker 6: I think I was thirteen years old. I knew his

846
00:42:38,480 --> 00:42:41,040
Speaker 6: kids a little bit growing up in the city, and

847
00:42:41,320 --> 00:42:43,239
Speaker 6: I've talked to him, you know, many times since then.

848
00:42:44,160 --> 00:42:50,560
Speaker 6: He is actually a very warm and engaging and charismatic guy,

849
00:42:50,719 --> 00:42:52,200
Speaker 6: particularly in person.

850
00:42:54,120 --> 00:42:56,600
Speaker 11: This is a key point, Buck, because you know, Trump

851
00:42:56,680 --> 00:42:59,560
Speaker 11: has certain public qualities and in fact is kind of famous,

852
00:42:59,600 --> 00:43:04,200
Speaker 11: and this some people off. He's very egotistical in public.

853
00:43:04,280 --> 00:43:06,960
Speaker 11: You know, his economy isn't just good, it's like the

854
00:43:07,000 --> 00:43:10,520
Speaker 11: best economy ever. His crowds aren't simply big, they're like

855
00:43:10,600 --> 00:43:14,120
Speaker 11: bigger than any crowd ever assembled in human history. So

856
00:43:14,400 --> 00:43:16,279
Speaker 11: when people listen to that, they think, well, this guy

857
00:43:16,360 --> 00:43:20,319
Speaker 11: must be totally insufferable. But not really. In private, he's

858
00:43:20,800 --> 00:43:25,560
Speaker 11: self deprecating. Is he pays attention to you. Even though

859
00:43:25,600 --> 00:43:27,960
Speaker 11: he seems in some senses in public to be a

860
00:43:28,040 --> 00:43:30,879
Speaker 11: kind of a bully. He never bullies people who are

861
00:43:30,880 --> 00:43:33,560
Speaker 11: beneath him. You'll never see him bully a waiter or

862
00:43:33,560 --> 00:43:36,600
Speaker 11: bully a doorman in one of his hotels. He only

863
00:43:36,640 --> 00:43:40,160
Speaker 11: bullies other eight hundred pound gorillas and usually ones that

864
00:43:40,200 --> 00:43:42,960
Speaker 11: are trying to get them. And then the other thing

865
00:43:43,040 --> 00:43:47,120
Speaker 11: is that Trump has the supreme virtue of courage. Any

866
00:43:47,160 --> 00:43:50,680
Speaker 11: other Republican facing ninety one criminal charges would have long

867
00:43:50,800 --> 00:43:54,359
Speaker 11: well facing two criminal charges, would have long fled from

868
00:43:54,360 --> 00:43:57,359
Speaker 11: the field. Trump not only hangs in there, he does

869
00:43:57,400 --> 00:44:02,720
Speaker 11: his own legal ropodope. He ignores orders, somehow he pushes forward.

870
00:44:02,960 --> 00:44:05,719
Speaker 11: And then look at his spectacular reaction to the two

871
00:44:05,760 --> 00:44:09,359
Speaker 11: assassination attempts. I don't think there's a man alive who

872
00:44:09,560 --> 00:44:12,759
Speaker 11: would have responded to either assassination attempt and the way

873
00:44:12,800 --> 00:44:13,399
Speaker 11: that Trump did.

874
00:44:14,719 --> 00:44:17,440
Speaker 3: We talked about a denesh right after it happened that

875
00:44:17,640 --> 00:44:21,640
Speaker 3: even in a Hollywood movie, the person playing president of

876
00:44:21,680 --> 00:44:24,279
Speaker 3: the United States would not have been as much of

877
00:44:24,320 --> 00:44:29,680
Speaker 3: a badass as Trump was right after that first assassination attempt.

878
00:44:29,960 --> 00:44:32,279
Speaker 3: And what you said, I think is so important. Buck

879
00:44:32,320 --> 00:44:35,320
Speaker 3: and I have been fortunate to get to know Trump

880
00:44:35,640 --> 00:44:37,319
Speaker 3: behind the scenes. I mean, we've had him on the

881
00:44:37,320 --> 00:44:40,400
Speaker 3: show a bunch seven or eight times, but we've gotten

882
00:44:40,400 --> 00:44:42,279
Speaker 3: to do that at mar A Lago, We've gotten to

883
00:44:42,320 --> 00:44:44,840
Speaker 3: do that at Bedminster. And I'll just give you two examples.

884
00:44:44,840 --> 00:44:47,759
Speaker 3: I bet that will connect with you based on this movie,

885
00:44:47,760 --> 00:44:49,319
Speaker 3: and I would encourage people to go see it.

886
00:44:49,760 --> 00:44:50,399
Speaker 2: One buck.

887
00:44:50,440 --> 00:44:53,759
Speaker 3: Do you remember when his granddaughter came in at Bedminster

888
00:44:54,320 --> 00:44:56,160
Speaker 3: and he wanted her to go out. She now has

889
00:44:56,160 --> 00:44:59,280
Speaker 3: committed to the University of Miami. But he was such

890
00:44:59,400 --> 00:45:03,080
Speaker 3: a normal, every day grandpa. It was just so striking

891
00:45:03,080 --> 00:45:05,800
Speaker 3: to me how excited he was to take her out

892
00:45:05,880 --> 00:45:08,360
Speaker 3: golfing with him. And you would have never known that

893
00:45:08,400 --> 00:45:10,840
Speaker 3: he was the president of the United States formerly, or

894
00:45:10,840 --> 00:45:12,680
Speaker 3: that he was running for president of the United States.

895
00:45:12,960 --> 00:45:15,960
Speaker 3: His full attention was on her and wanting to know

896
00:45:16,040 --> 00:45:18,160
Speaker 3: how her golf game was going, and wanting to get

897
00:45:18,200 --> 00:45:20,359
Speaker 3: out and play with her. The other one, and we've

898
00:45:20,360 --> 00:45:22,440
Speaker 3: talked about it on the show, but for people out

899
00:45:22,440 --> 00:45:25,040
Speaker 3: there who say, oh my goodness, he's Hitler Denash, you

900
00:45:25,120 --> 00:45:27,840
Speaker 3: talked about his ability to focus on people and think

901
00:45:27,960 --> 00:45:31,480
Speaker 3: about them. When we finished the last mar A Lago interview,

902
00:45:31,560 --> 00:45:34,920
Speaker 3: both of our wives were there and our staff. He

903
00:45:35,080 --> 00:45:38,720
Speaker 3: insisted that we take milkshakes with us for the drive

904
00:45:38,880 --> 00:45:41,960
Speaker 3: back to Miami from mar A Lago because mar A

905
00:45:42,000 --> 00:45:44,640
Speaker 3: Lago had the best milkshakes on the planet, and he

906
00:45:44,680 --> 00:45:45,359
Speaker 3: was afraid that.

907
00:45:45,320 --> 00:45:46,720
Speaker 2: We hadn't had anything to eat.

908
00:45:48,040 --> 00:45:51,399
Speaker 3: I just the guy is actually really charismatic and very

909
00:45:51,440 --> 00:45:54,560
Speaker 3: likable one on one. And also, I would say d

910
00:45:54,640 --> 00:45:56,920
Speaker 3: Nash and I bet you saw this with the family

911
00:45:56,960 --> 00:46:00,600
Speaker 3: as well. The kids all seem to really adore grandkids

912
00:46:00,640 --> 00:46:03,040
Speaker 3: seem to adore him. It's hard to be an awful

913
00:46:03,080 --> 00:46:05,040
Speaker 3: person if your kids and your grandkids like you.

914
00:46:05,160 --> 00:46:09,320
Speaker 11: Right, Absolutely true, And we do bring out one reason

915
00:46:09,360 --> 00:46:11,560
Speaker 11: to have Laura Trump in the program was to have

916
00:46:11,680 --> 00:46:14,840
Speaker 11: her talk about this kind of personal side of Trump,

917
00:46:15,280 --> 00:46:17,680
Speaker 11: you know, with regard to Trump being a hitler or

918
00:46:17,719 --> 00:46:20,200
Speaker 11: a dictator. And by the way, that's the kind of

919
00:46:20,239 --> 00:46:25,359
Speaker 11: poisonous rhetoric that convinces would be assassins. Hey, I can

920
00:46:25,400 --> 00:46:27,799
Speaker 11: be a hero if I take this guy out, you know.

921
00:46:28,280 --> 00:46:31,200
Speaker 11: But the left really says that about him. And yet

922
00:46:31,520 --> 00:46:35,759
Speaker 11: what did he do that was dictatorial in his first term.

923
00:46:35,880 --> 00:46:37,640
Speaker 11: I mean, he had the opportunity. If he was going

924
00:46:37,680 --> 00:46:39,480
Speaker 11: to be a dictator, you think he would have shown

925
00:46:39,520 --> 00:46:45,200
Speaker 11: his dictatorial colors. How many prominent Democrats did he indict, prosecute,

926
00:46:45,520 --> 00:46:50,000
Speaker 11: lock up? None? So there's no dictatorial stuff coming out

927
00:46:50,040 --> 00:46:50,400
Speaker 11: of Trump.

928
00:46:50,400 --> 00:46:50,520
Speaker 10: Now.

929
00:46:50,520 --> 00:46:53,000
Speaker 11: Trump will joke and say things like, well, I won't

930
00:46:53,000 --> 00:46:55,399
Speaker 11: be a dictator, but maybe on the first day now

931
00:46:55,560 --> 00:46:57,960
Speaker 11: this guy, this is a shtick. He's a little bit

932
00:46:57,960 --> 00:47:00,839
Speaker 11: of a stand up comedian. And for anyone to take

933
00:47:00,840 --> 00:47:03,440
Speaker 11: that seriously, there you go. He said he's going to

934
00:47:03,440 --> 00:47:06,200
Speaker 11: be a dictator. He said it himself. I mean this

935
00:47:06,280 --> 00:47:10,920
Speaker 11: is called pretending to take Trump in a completely different sense,

936
00:47:10,960 --> 00:47:16,920
Speaker 11: in which he means normal words, and the dictatorial threat

937
00:47:17,000 --> 00:47:19,160
Speaker 11: is coming from the other side. I mean, if you

938
00:47:19,320 --> 00:47:24,200
Speaker 11: look at the signature features of totalitarian societies, they have

939
00:47:24,320 --> 00:47:29,640
Speaker 11: mass surveillance, they have widespread censorship, they have criminalization of

940
00:47:29,680 --> 00:47:34,240
Speaker 11: political differences, political prisoners, trying to lock up the leader

941
00:47:34,320 --> 00:47:38,480
Speaker 11: of the opposition party. Well, guess what, it's the Democrats

942
00:47:38,480 --> 00:47:41,280
Speaker 11: that are doing all of that. So they accuse Trump

943
00:47:41,320 --> 00:47:43,640
Speaker 11: of being a dictator, but I think what they really

944
00:47:43,719 --> 00:47:46,080
Speaker 11: mean is that he is the guy that they fear

945
00:47:46,200 --> 00:47:49,560
Speaker 11: will foil their dictatorial schemes.

946
00:47:50,520 --> 00:47:52,920
Speaker 6: I'll at clanbuck dot com now you can watch the

947
00:47:53,000 --> 00:47:58,680
Speaker 6: trailer for Denesh's movie Vindicating Trump and Denesh. I do

948
00:47:58,760 --> 00:48:03,680
Speaker 6: think part of what has pushed some very prominent, very wealthy,

949
00:48:03,680 --> 00:48:08,399
Speaker 6: and influential Silicon Valley folks. I think this was part

950
00:48:08,400 --> 00:48:12,279
Speaker 6: of Elon's move right as well. You know, there are

951
00:48:12,280 --> 00:48:15,720
Speaker 6: a few things but has been the lawfair against Trump,

952
00:48:15,760 --> 00:48:20,440
Speaker 6: because anybody who understands how totalitarian societies work, anyone who

953
00:48:20,480 --> 00:48:23,440
Speaker 6: understands how free societies on the other side have to work,

954
00:48:23,719 --> 00:48:27,919
Speaker 6: I think, recognizes that they didn't just discover all these

955
00:48:27,960 --> 00:48:31,640
Speaker 6: crimes that Trump committed in the seventy sixth year of

956
00:48:31,640 --> 00:48:36,040
Speaker 6: his life, never having had been charged with any crime

957
00:48:36,120 --> 00:48:40,240
Speaker 6: for seventy six years. It's clearly lawfair, and if lawfair

958
00:48:40,360 --> 00:48:42,839
Speaker 6: is the future of this country, we actually don't have

959
00:48:42,960 --> 00:48:43,600
Speaker 6: rule of law.

960
00:48:45,360 --> 00:48:49,160
Speaker 11: This is a critical point. I've been reading Selganned since

961
00:48:49,200 --> 00:48:51,640
Speaker 11: Gulag Archipelago, and he talks about what he calls the

962
00:48:51,719 --> 00:48:54,560
Speaker 11: Vishinski doctrine, which is this is the one that the

963
00:48:54,560 --> 00:48:58,280
Speaker 11: Soviets used. Vishinsky is this guy who basically said, listen,

964
00:48:58,640 --> 00:49:02,600
Speaker 11: we since we aren't resent when something happens, or crime happens,

965
00:49:02,800 --> 00:49:06,240
Speaker 11: we can never be absolutely sure, so we shouldn't try

966
00:49:06,320 --> 00:49:09,640
Speaker 11: to be absolutely sure. What we basically want to do

967
00:49:09,760 --> 00:49:14,440
Speaker 11: is basically figure out we can use some fairly elastic rules,

968
00:49:14,480 --> 00:49:18,200
Speaker 11: the manipulation of bending of laws to basically get what

969
00:49:18,280 --> 00:49:20,880
Speaker 11: we want out of this trial, out of this process,

970
00:49:21,160 --> 00:49:23,600
Speaker 11: and think about it, That's exactly what the Democrats do.

971
00:49:23,880 --> 00:49:27,759
Speaker 11: They shop around for a blue jurisdiction, they find a

972
00:49:27,880 --> 00:49:30,839
Speaker 11: kind of vengeful mob of jurors who kind of want

973
00:49:30,880 --> 00:49:33,360
Speaker 11: to get Trump in the first place. They find a

974
00:49:33,400 --> 00:49:37,160
Speaker 11: sympathetic judge, so it becomes a wink wink operation between

975
00:49:37,200 --> 00:49:39,880
Speaker 11: the judge and the prosecution. So, you know, to the

976
00:49:40,000 --> 00:49:43,360
Speaker 11: naive American, they might think, well, there's an actual court.

977
00:49:43,400 --> 00:49:46,080
Speaker 11: It looks like a court. You know, they're following the

978
00:49:46,160 --> 00:49:50,680
Speaker 11: outward trappings of law. Objections sustained, and therefore it must

979
00:49:50,719 --> 00:49:54,120
Speaker 11: be a legitimate process. No, it's not a legitimate process.

980
00:49:54,120 --> 00:49:57,160
Speaker 11: And anyone who's looking closely can see that they're going

981
00:49:57,200 --> 00:50:00,360
Speaker 11: after Trump for things that they would never go after

982
00:50:00,400 --> 00:50:03,280
Speaker 11: anyone else. Of course, one interesting question is why Trump,

983
00:50:03,560 --> 00:50:07,080
Speaker 11: Like why only Trump? Why is he the very scary guy?

984
00:50:07,400 --> 00:50:09,359
Speaker 11: And I think the answer is that he is a

985
00:50:09,840 --> 00:50:13,080
Speaker 11: very strong guy. This came out in the courage that

986
00:50:13,120 --> 00:50:16,799
Speaker 11: he displayed with the assassination attempts. Other Republicans are much

987
00:50:16,840 --> 00:50:20,680
Speaker 11: more weak need than Trump. So the Democrats don't fear Romney,

988
00:50:20,880 --> 00:50:24,400
Speaker 11: they don't fear Paul Ryan. What they do fear is Trump.

989
00:50:25,640 --> 00:50:28,560
Speaker 3: Denesh I've said that the most important decision Trump would

990
00:50:28,560 --> 00:50:31,000
Speaker 3: have to make if he wins is who he picks

991
00:50:31,040 --> 00:50:34,040
Speaker 3: his attorney general. For what you're laying out here, I'm

992
00:50:34,040 --> 00:50:36,279
Speaker 3: a lawyer. I believe you're a lawyer as well. What

993
00:50:36,440 --> 00:50:39,280
Speaker 3: has been allowed to occur with our Department of Justice

994
00:50:39,280 --> 00:50:42,360
Speaker 3: and the targeting of political adversaries has never occurred in

995
00:50:42,360 --> 00:50:44,839
Speaker 3: the history of any of our lives, and frankly, never

996
00:50:44,880 --> 00:50:47,360
Speaker 3: really in the history of the United States. How do

997
00:50:47,440 --> 00:50:51,320
Speaker 3: we get back some measure of trust in our Department

998
00:50:51,360 --> 00:50:53,839
Speaker 3: of Justice? And do you agree with me that who

999
00:50:53,920 --> 00:50:57,560
Speaker 3: Trump picks as his attorney general might well be his

1000
00:50:57,640 --> 00:51:01,080
Speaker 3: most consequential pick of all when it comes to stocking

1001
00:51:01,120 --> 00:51:02,480
Speaker 3: his cabinet and his administration.

1002
00:51:03,960 --> 00:51:09,440
Speaker 11: I agree completely. And my solution to it is somewhat controversial,

1003
00:51:09,719 --> 00:51:12,480
Speaker 11: I will admit. And here's what it is. It is

1004
00:51:12,560 --> 00:51:15,160
Speaker 11: essentially the solution of how do you tame a rogue

1005
00:51:15,200 --> 00:51:17,600
Speaker 11: operation a kind? How do you tame a bully in

1006
00:51:17,640 --> 00:51:20,640
Speaker 11: a schoolyard? And the answer is you can't do it

1007
00:51:21,080 --> 00:51:25,040
Speaker 11: unless you ambush the bully, unless you respond in kind,

1008
00:51:25,160 --> 00:51:28,760
Speaker 11: unless you show the bully that bullying tactics don't pay off.

1009
00:51:29,080 --> 00:51:32,960
Speaker 11: You might remember when Elon Musk banned some leftist journalists

1010
00:51:33,000 --> 00:51:37,400
Speaker 11: on Twitter on x for one single day if you

1011
00:51:37,520 --> 00:51:40,840
Speaker 11: watch the reaction when that happened, Suddenly all these people

1012
00:51:40,840 --> 00:51:44,399
Speaker 11: who were champions of censorship and champions of shutting down

1013
00:51:44,440 --> 00:51:48,759
Speaker 11: disinformation and removing millions of accounts, they became great defenders

1014
00:51:48,760 --> 00:51:51,160
Speaker 11: of free speech. I mean they were quoting the First Amendments,

1015
00:51:51,200 --> 00:51:54,720
Speaker 11: citing John Stuart Mill. So the moment their free speech

1016
00:51:54,840 --> 00:51:58,840
Speaker 11: was threatened, they rediscovered the value of the principle. So

1017
00:51:58,960 --> 00:52:01,600
Speaker 11: I think that the way to ultimately force the left

1018
00:52:01,880 --> 00:52:04,480
Speaker 11: to stop doing this kind of stuff is to start

1019
00:52:04,520 --> 00:52:06,279
Speaker 11: doing it to them.

1020
00:52:06,560 --> 00:52:09,759
Speaker 3: It's basically why we have nuclear weapons in multiple countries, right,

1021
00:52:09,800 --> 00:52:12,160
Speaker 3: there has to be a deterrence and a threat factor

1022
00:52:12,360 --> 00:52:14,680
Speaker 3: or else whoever the most powerful is just keeps doing

1023
00:52:14,719 --> 00:52:15,240
Speaker 3: whatever they.

1024
00:52:15,080 --> 00:52:17,600
Speaker 2: Want exactly right.

1025
00:52:17,920 --> 00:52:19,799
Speaker 11: And there are many laws, by the way, I'm not

1026
00:52:19,840 --> 00:52:23,480
Speaker 11: talking about unleashing some sort of plague of lawlessness. There

1027
00:52:23,520 --> 00:52:26,200
Speaker 11: are for example, in the Rico Statutes, it says that

1028
00:52:26,239 --> 00:52:30,080
Speaker 11: anyone who is involved in any way in collaborating or

1029
00:52:30,120 --> 00:52:35,080
Speaker 11: participating in an election fraud scheme is committing a serious felony.

1030
00:52:35,440 --> 00:52:38,279
Speaker 11: Now my point is, all right, so let's take a

1031
00:52:38,280 --> 00:52:40,960
Speaker 11: look at that. Generally, Republican attorneys general take a look

1032
00:52:40,960 --> 00:52:43,400
Speaker 11: at that. They go, well, This hasn't really been used,

1033
00:52:43,400 --> 00:52:45,120
Speaker 11: so we're not going to focus on it. Let it

1034
00:52:45,160 --> 00:52:48,600
Speaker 11: be the Democrats of pulling out every opportunity from the

1035
00:52:48,719 --> 00:52:53,000
Speaker 11: Large Accordion Book of Federal Statutes to go after conservatives.

1036
00:52:53,239 --> 00:52:55,279
Speaker 11: But they got to realize the two can play at

1037
00:52:55,280 --> 00:52:55,920
Speaker 11: this game.

1038
00:52:56,920 --> 00:52:57,279
Speaker 2: No doubt.

1039
00:52:57,360 --> 00:53:01,160
Speaker 3: Denesh Desuza, the book is the document to Revindicating Trump.

1040
00:53:01,320 --> 00:53:02,759
Speaker 2: Encourage all of you to go check it out.

1041
00:53:02,760 --> 00:53:06,440
Speaker 3: Eight hundred and fifty theaters nationwide, many different ways to

1042
00:53:06,560 --> 00:53:08,719
Speaker 3: be consuming it. To Nash, we appreciate the time, good

1043
00:53:08,760 --> 00:53:10,759
Speaker 3: luck with the film.

1044
00:53:10,360 --> 00:53:13,040
Speaker 11: If I could say so, guys. Vindicating Trump dot com

1045
00:53:13,120 --> 00:53:14,880
Speaker 11: is sort of the one stop shop to get tickets.

1046
00:53:14,920 --> 00:53:16,960
Speaker 11: You put in your city or your town and boom,

1047
00:53:16,960 --> 00:53:19,200
Speaker 11: the theaters will pop right up. See it this weekend

1048
00:53:19,200 --> 00:53:19,600
Speaker 11: if you can