1
00:00:00,560 --> 00:00:03,720
Speaker 1: All right, second hour, Clay and Buck gets going right now.

2
00:00:03,920 --> 00:00:05,080
Speaker 2: And we had.

3
00:00:05,480 --> 00:00:07,760
Speaker 1: Teeth this a little bit. So if you're just joining us,

4
00:00:07,840 --> 00:00:12,319
Speaker 1: or if you're wondering what's happening here, some really bad

5
00:00:12,400 --> 00:00:15,760
Speaker 1: news for Biden going into this debate courtesy of the

6
00:00:15,840 --> 00:00:19,120
Speaker 1: Washington Post, which is not what you'd be expecting, I think.

7
00:00:19,160 --> 00:00:24,440
Speaker 1: But we talk a lot here about the very small,

8
00:00:24,680 --> 00:00:28,440
Speaker 1: by the numbers percentage of voters who are going to

9
00:00:28,520 --> 00:00:33,040
Speaker 1: be the ones who determine this election, going to be

10
00:00:33,040 --> 00:00:37,880
Speaker 1: the ones who make the difference in a handful of

11
00:00:37,920 --> 00:00:41,959
Speaker 1: about a half dozen states. And we also look at

12
00:00:42,000 --> 00:00:46,520
Speaker 1: what the theme, the thesis of the Biden re election

13
00:00:46,760 --> 00:00:49,600
Speaker 1: campaign is, and I think if you were to have

14
00:00:49,640 --> 00:00:53,720
Speaker 1: a headline for it, it would be defensive democracy against Trump,

15
00:00:54,320 --> 00:00:56,600
Speaker 1: and then the subheading would be and also, you know,

16
00:00:56,720 --> 00:01:00,160
Speaker 1: women's rights, abortion or something like that. But the same

17
00:01:00,280 --> 00:01:04,120
Speaker 1: thing is this threat to democracy point that democrats are

18
00:01:04,160 --> 00:01:06,520
Speaker 1: obsessed with. And the data shows that people who are

19
00:01:06,600 --> 00:01:10,920
Speaker 1: voting Biden, who have decided already they're voting Biden, their

20
00:01:10,959 --> 00:01:16,039
Speaker 1: biggest issue is this. They care more about this amorphous

21
00:01:16,080 --> 00:01:20,360
Speaker 1: threats to democracy than anything else. That is their primary issue,

22
00:01:21,120 --> 00:01:23,160
Speaker 1: which is really just a dressed up way. And I

23
00:01:23,160 --> 00:01:25,800
Speaker 1: think it's important to keep this in mind of saying

24
00:01:25,840 --> 00:01:28,000
Speaker 1: I hate Donald Trump. When they say when they speak

25
00:01:28,040 --> 00:01:31,280
Speaker 1: of threats to democracy, what they really mean is using

26
00:01:31,319 --> 00:01:34,680
Speaker 1: fancy words because I hate Donald Trump. Because it's there's

27
00:01:34,720 --> 00:01:37,280
Speaker 1: no nothing that is un Trump related. Really, that is

28
00:01:37,280 --> 00:01:39,800
Speaker 1: the threat to democracy here, and it's just Trump, his movement.

29
00:01:40,040 --> 00:01:43,560
Speaker 1: It's all about Trump, Trump, Trump, trum Trump. Okay. Now,

30
00:01:43,600 --> 00:01:47,800
Speaker 1: what happens if all of a sudden, the people who

31
00:01:48,440 --> 00:01:54,280
Speaker 1: are the most important deciders in this election process are

32
00:01:54,320 --> 00:01:59,400
Speaker 1: looking at threats to democracy differently and looking at the

33
00:01:59,440 --> 00:02:02,720
Speaker 1: primary issue that Joe Biden is supposed to be winning over.

34
00:02:02,800 --> 00:02:06,280
Speaker 1: Clay Washington Post has this. Let me just read a

35
00:02:06,320 --> 00:02:09,360
Speaker 1: little bit from this piece. President Biden and his Democratic

36
00:02:09,400 --> 00:02:12,960
Speaker 1: allies have cast his reelection campaign as a battle for

37
00:02:13,000 --> 00:02:17,120
Speaker 1: the country's survival, warning that a second Donald Trump presidency

38
00:02:17,160 --> 00:02:21,880
Speaker 1: would present an existential threat to American democracy in speeches

39
00:02:21,880 --> 00:02:25,359
Speaker 1: and campaign ads blah blah January sixth, blah blah blah blah. Okay,

40
00:02:25,800 --> 00:02:29,280
Speaker 1: but that message may not be resonating with the voters

41
00:02:29,320 --> 00:02:31,600
Speaker 1: Biden needs in order to win another term in.

42
00:02:31,600 --> 00:02:35,000
Speaker 2: The White House. In six swing states.

43
00:02:34,560 --> 00:02:38,080
Speaker 1: That Biden narrowly won In twenty twenty, a little more

44
00:02:38,160 --> 00:02:42,799
Speaker 1: than half of voters classified as likely to decide the

45
00:02:42,840 --> 00:02:46,239
Speaker 1: presidential election. We can get into what that means, say

46
00:02:46,280 --> 00:02:50,840
Speaker 1: that threats to democracy are extremely important for their vote,

47
00:02:51,560 --> 00:02:55,120
Speaker 1: yet more of them trust Trump to handle those threats

48
00:02:55,160 --> 00:02:59,920
Speaker 1: than Biden. The thesis of the Biden kempaid Clay is

49
00:03:00,560 --> 00:03:04,000
Speaker 1: Trump is a threat to democracy. But the Washington Post

50
00:03:04,240 --> 00:03:10,840
Speaker 1: in the key states Pennsylvania, Nevada, Michigan, Arizona, Wisconsin, Georgia

51
00:03:11,200 --> 00:03:15,560
Speaker 1: is finding out that undecided and swing voters think that

52
00:03:15,720 --> 00:03:19,560
Speaker 1: Trump is a better defender of democracy than Biden.

53
00:03:20,040 --> 00:03:20,880
Speaker 2: What do you make of this?

54
00:03:22,280 --> 00:03:24,920
Speaker 1: I think it's a fascinating result.

55
00:03:25,760 --> 00:03:28,960
Speaker 3: What I make of it is, at some point you

56
00:03:29,040 --> 00:03:33,000
Speaker 3: can go so far in making an argument that people

57
00:03:33,080 --> 00:03:34,760
Speaker 3: say adds a little bit too far.

58
00:03:34,800 --> 00:03:37,720
Speaker 1: And I'll give you an example. I think most people

59
00:03:37,760 --> 00:03:38,520
Speaker 1: out there.

60
00:03:39,920 --> 00:03:44,320
Speaker 3: Are fine with, for instance, the idea that if it

61
00:03:44,400 --> 00:03:47,000
Speaker 3: makes a man happier to dress.

62
00:03:46,800 --> 00:03:50,600
Speaker 1: Up as a woman, it shouldn't be illegal to do so. Right.

63
00:03:50,720 --> 00:03:51,680
Speaker 1: I think most of you.

64
00:03:51,680 --> 00:03:53,400
Speaker 3: Out there like, Hey, if that guy wants to put

65
00:03:53,440 --> 00:03:55,680
Speaker 3: on a dress and walk around and pretend to be

66
00:03:55,720 --> 00:03:58,440
Speaker 3: a woman, I don't think he should get arrested by

67
00:03:58,480 --> 00:04:01,680
Speaker 3: the police and put in prison or put in jail

68
00:04:01,760 --> 00:04:03,840
Speaker 3: for doing that. I think most people say, Okay, that's fine,

69
00:04:04,360 --> 00:04:09,200
Speaker 3: and then every step beyond that, fewer people say, hey, yeah,

70
00:04:09,200 --> 00:04:12,600
Speaker 3: I'm okay with that. Right, you're fine with the individual

71
00:04:12,760 --> 00:04:16,920
Speaker 3: adult decision. But once you move beyond it, you start

72
00:04:16,920 --> 00:04:21,000
Speaker 3: to lose support. And I think probably the majority of

73
00:04:21,000 --> 00:04:23,360
Speaker 3: people said, you know, what happened on January six shouldn't

74
00:04:23,360 --> 00:04:23,760
Speaker 3: have happened.

75
00:04:24,000 --> 00:04:25,560
Speaker 1: I think substantial majorities.

76
00:04:25,880 --> 00:04:29,520
Speaker 3: And then every step beyond that, Democrats have lost support.

77
00:04:30,240 --> 00:04:33,719
Speaker 3: And now they've crossed trying to put Trump in prison

78
00:04:35,480 --> 00:04:38,880
Speaker 3: kills for many people. I think the idea that you're

79
00:04:38,920 --> 00:04:42,040
Speaker 3: the defender of democracy, Yeah, we have to hold people

80
00:04:42,040 --> 00:04:44,360
Speaker 3: accountable who broke the law on January six most people

81
00:04:44,400 --> 00:04:48,680
Speaker 3: say ye, okay, uh, yeah, like Trump and January sixth

82
00:04:48,839 --> 00:04:51,719
Speaker 3: was not a proud moment for American democracy. Yeah, we

83
00:04:51,760 --> 00:04:56,520
Speaker 3: shouldn't have things like this occur. Yes, right, And it's

84
00:04:56,560 --> 00:04:59,400
Speaker 3: so bad that we have to put Donald Trump in prison,

85
00:04:59,800 --> 00:05:01,640
Speaker 3: and and you shouldn't be able to vote for him

86
00:05:01,640 --> 00:05:05,760
Speaker 3: for president. That's crossing the rubicon for most voters. So

87
00:05:05,880 --> 00:05:07,800
Speaker 3: I think they've gone too far. I actually think this

88
00:05:07,880 --> 00:05:11,320
Speaker 3: applies to abortion too, I think, and I'm talking general

89
00:05:11,360 --> 00:05:15,200
Speaker 3: American public. Now, most people in America think there should

90
00:05:15,200 --> 00:05:17,920
Speaker 3: be exceptions, right. Ten percent disagree, You're entitled to all

91
00:05:17,960 --> 00:05:22,200
Speaker 3: your opinions nine month abortion, Like ninety percent of Americans

92
00:05:22,200 --> 00:05:24,400
Speaker 3: are like, no, no, no, no, no, no, that's too far.

93
00:05:24,839 --> 00:05:28,320
Speaker 3: And I think Democrats, because they have such a coddled media,

94
00:05:28,600 --> 00:05:31,760
Speaker 3: don't get pushback. And they've gone so far. Do you

95
00:05:31,760 --> 00:05:35,039
Speaker 3: see the New York Times story today buck that the

96
00:05:35,040 --> 00:05:39,560
Speaker 3: Biden administration wanted to ensure that miners could get transgender surgery.

97
00:05:39,880 --> 00:05:42,800
Speaker 3: I think most parents out there, and I'm one, think

98
00:05:42,800 --> 00:05:45,120
Speaker 3: it's crazy that a fourteen year old girl should get

99
00:05:45,120 --> 00:05:47,640
Speaker 3: her boobs chopped off. Maybe that's not a choice you

100
00:05:47,680 --> 00:05:50,880
Speaker 3: want to make, right, And they go so far to

101
00:05:50,920 --> 00:05:54,760
Speaker 3: the extreme. I think the Democrat position has naturally lended

102
00:05:54,800 --> 00:05:58,000
Speaker 3: itself to extremisties extremism in that respect.

103
00:05:58,040 --> 00:06:00,479
Speaker 1: That's my take. What's yours? If you think, how would

104
00:06:00,480 --> 00:06:04,320
Speaker 1: you assess it? If you think of the voter groups

105
00:06:04,320 --> 00:06:06,440
Speaker 1: here that they and I can tell you exactly what

106
00:06:06,480 --> 00:06:11,599
Speaker 1: the categories are of the deciders they voted in. Only

107
00:06:11,800 --> 00:06:15,320
Speaker 1: one of the past two presidential elections are between ages

108
00:06:15,360 --> 00:06:19,119
Speaker 1: eighteen and twenty twenty five register to vote since twenty

109
00:06:19,160 --> 00:06:22,440
Speaker 1: twenty two did not definitely plan to vote for either

110
00:06:22,480 --> 00:06:25,960
Speaker 1: Biden or Trump this year or switch their support between

111
00:06:26,000 --> 00:06:31,000
Speaker 1: twenty sixteen and twenty twenty, So basically undecided voters may

112
00:06:31,000 --> 00:06:32,839
Speaker 1: be going to vote, maybe not going to vote voters.

113
00:06:32,839 --> 00:06:35,040
Speaker 1: I mean, that's you know, this is what these are.

114
00:06:35,160 --> 00:06:37,239
Speaker 1: These are the you know, the unicorns that we're always

115
00:06:37,240 --> 00:06:39,800
Speaker 1: looking for. Hey, yeah, would.

116
00:06:39,160 --> 00:06:41,120
Speaker 2: You come over to the party and help us save

117
00:06:41,160 --> 00:06:41,719
Speaker 2: the country?

118
00:06:41,760 --> 00:06:43,440
Speaker 1: You know we're and we got some of them listening,

119
00:06:43,480 --> 00:06:46,960
Speaker 1: so please do help save the country. But what I

120
00:06:47,000 --> 00:06:49,680
Speaker 1: see is if you think of that group in the

121
00:06:49,760 --> 00:06:54,760
Speaker 1: Swing States as essentially the jury in this instance on

122
00:06:54,960 --> 00:06:59,920
Speaker 1: threats to democracy and whether or not the binding administration

123
00:07:00,920 --> 00:07:05,039
Speaker 1: is guilty of using lawfair to such an extent that

124
00:07:05,120 --> 00:07:08,520
Speaker 1: it's a clear threat to democracy, I think the jury's verdict,

125
00:07:08,560 --> 00:07:12,880
Speaker 1: at least according to this this data is in or

126
00:07:12,920 --> 00:07:14,800
Speaker 1: at least it's going to be in a way that

127
00:07:14,920 --> 00:07:19,120
Speaker 1: is supportive of Trump. The law that you cannot hold

128
00:07:19,680 --> 00:07:21,800
Speaker 1: and no one can. There is no defense of this,

129
00:07:22,000 --> 00:07:24,720
Speaker 1: and this is I think, more than anything else, makes

130
00:07:24,760 --> 00:07:27,960
Speaker 1: the whole case. It's so obvious you cannot hold four

131
00:07:28,080 --> 00:07:33,040
Speaker 1: criminal prosecutions to unleash them in a salvo like in

132
00:07:33,160 --> 00:07:36,400
Speaker 1: shotgun fashions, you you know, hit the most of the

133
00:07:36,440 --> 00:07:41,240
Speaker 1: target you can. You cannot hold four criminal prosecutions against

134
00:07:41,280 --> 00:07:44,040
Speaker 1: Donald Trump, not to mention the civil stuff until an

135
00:07:44,080 --> 00:07:47,280
Speaker 1: election year time. It so it's all unleashed at the

136
00:07:47,320 --> 00:07:50,760
Speaker 1: same time in an effort to use the law as

137
00:07:50,760 --> 00:07:55,760
Speaker 1: a tool to stop a political candidate. Enough people, not

138
00:07:55,840 --> 00:07:59,040
Speaker 1: even Trump people or Republicans or anything else, enough people

139
00:07:59,120 --> 00:08:00,000
Speaker 1: in the middle class.

140
00:08:00,760 --> 00:08:02,160
Speaker 2: See this for what it is.

141
00:08:02,920 --> 00:08:06,840
Speaker 1: If this is correct, meaning this data plays out at

142
00:08:06,880 --> 00:08:10,440
Speaker 1: the polls, Biden is done, Trump wins the election. Did

143
00:08:10,440 --> 00:08:13,760
Speaker 1: this to me? If this is right, this snapshot and

144
00:08:13,800 --> 00:08:18,080
Speaker 1: we see this at the polls in November, one hundred

145
00:08:18,080 --> 00:08:19,640
Speaker 1: percent chance Trump wins.

146
00:08:20,600 --> 00:08:25,520
Speaker 3: Also at the top of the Washington Post website right now,

147
00:08:26,080 --> 00:08:31,560
Speaker 3: they have updated twenty twenty four battleground state polls and

148
00:08:32,000 --> 00:08:35,400
Speaker 3: just to hit you with those as well. North Carolina

149
00:08:35,640 --> 00:08:40,280
Speaker 3: Trump up four, Nevada Trump up five. By the way,

150
00:08:40,280 --> 00:08:43,000
Speaker 3: that would be a seven point swing in the state

151
00:08:43,000 --> 00:08:47,199
Speaker 3: of Nevada compared to what happened in twenty twenty Arizona

152
00:08:47,360 --> 00:08:52,480
Speaker 3: Trump up five, Georgia Trump up five. All right, what

153
00:08:52,520 --> 00:08:58,440
Speaker 3: about the battleground states Michigan Trump up three, that would

154
00:08:58,440 --> 00:09:05,880
Speaker 3: be a six point swing, Pennsylvania tie, Wisconsin, Biden up

155
00:09:06,040 --> 00:09:06,880
Speaker 3: less than one.

156
00:09:07,600 --> 00:09:08,839
Speaker 1: What's up with the cheeseheads?

157
00:09:08,840 --> 00:09:09,120
Speaker 2: Buck?

158
00:09:09,559 --> 00:09:13,800
Speaker 3: Wisconsin was actually the closest to going for Trump in

159
00:09:13,880 --> 00:09:19,040
Speaker 3: twenty twenty, And honestly, the consistent polling suggests that Biden

160
00:09:19,160 --> 00:09:22,560
Speaker 3: is stronger in Wisconsin than he is Pennsylvania or Michigan.

161
00:09:22,600 --> 00:09:27,440
Speaker 1: That's one I don't understand. I can't I can't look

162
00:09:27,480 --> 00:09:31,640
Speaker 1: into the crystal ball or even just the data on Michigan.

163
00:09:31,679 --> 00:09:36,160
Speaker 1: I mean, sorry on a Wisconsin and Whoa and understand

164
00:09:36,160 --> 00:09:39,080
Speaker 1: why that one is lagging. I'd have to really dig

165
00:09:39,120 --> 00:09:42,840
Speaker 1: into it. The on the issues, I can tell you this, Clay,

166
00:09:44,280 --> 00:09:45,959
Speaker 1: Remember how I said, no one tries to defend this.

167
00:09:46,040 --> 00:09:48,920
Speaker 1: The Washington Post in this same piece where it has

168
00:09:48,960 --> 00:09:52,000
Speaker 1: this data that's very troubling for their own side rights.

169
00:09:52,080 --> 00:09:55,840
Speaker 1: Trump has tried to flip the democracy issue, claiming falsely

170
00:09:56,520 --> 00:09:59,760
Speaker 1: that he and his allies are facing multiple criminal investigations

171
00:09:59,760 --> 00:10:02,960
Speaker 1: because because Biden is weaponizing the judicial system against him

172
00:10:03,080 --> 00:10:05,640
Speaker 1: end quote. I just want to note you know, this

173
00:10:05,720 --> 00:10:08,920
Speaker 1: is where we could say they're saying it's false without evidence.

174
00:10:08,960 --> 00:10:12,480
Speaker 1: They can't prove that Biden isn't doing this. And more

175
00:10:12,520 --> 00:10:17,760
Speaker 1: to the point, there is a rejection of Democrat prosecutors

176
00:10:18,880 --> 00:10:21,320
Speaker 1: who are picked by in the case of the DOJ,

177
00:10:22,679 --> 00:10:26,640
Speaker 1: Democrat appointees who are all holding this. There is no

178
00:10:26,720 --> 00:10:29,720
Speaker 1: excuse for what they are doing. There's no excuse for

179
00:10:29,760 --> 00:10:31,839
Speaker 1: waiting to bring all four of these cases until the

180
00:10:31,920 --> 00:10:35,199
Speaker 1: election year. These all could have been brought certainly by

181
00:10:35,280 --> 00:10:39,720
Speaker 1: twenty twenty two the midterms. That no, they they have

182
00:10:40,000 --> 00:10:43,040
Speaker 1: shown their hand. The game the whole time was let

183
00:10:43,080 --> 00:10:47,560
Speaker 1: Trump win the primary and then just slam him with

184
00:10:47,600 --> 00:10:51,000
Speaker 1: all these cases at the same time. And it's blowing

185
00:10:51,080 --> 00:10:54,160
Speaker 1: up in their faces right now. A lot can happen

186
00:10:54,160 --> 00:10:57,760
Speaker 1: between now in the election, but their strategy is not working.

187
00:10:58,640 --> 00:11:01,320
Speaker 3: Looking not only like it's not working like it might

188
00:11:01,360 --> 00:11:04,840
Speaker 3: be the most devastating own goal in the his modern

189
00:11:04,960 --> 00:11:07,839
Speaker 3: history of American politics, because it could be that trying

190
00:11:07,880 --> 00:11:11,199
Speaker 3: to put Trump in prison has directly put him in

191
00:11:11,200 --> 00:11:13,679
Speaker 3: the White House instead. And for those of you out

192
00:11:13,679 --> 00:11:15,800
Speaker 3: there who say, and we get this every single time

193
00:11:15,840 --> 00:11:18,319
Speaker 3: we mentioned new polls, well it's just a poll.

194
00:11:18,800 --> 00:11:20,360
Speaker 1: I don't know why you're talking about polls.

195
00:11:20,400 --> 00:11:25,040
Speaker 3: Pull this all rigged, Okay, two months from now, the

196
00:11:25,320 --> 00:11:29,120
Speaker 3: whatever the result is on the ground, starts to get

197
00:11:29,120 --> 00:11:32,560
Speaker 3: baked into the election results. That is, if there's some

198
00:11:32,720 --> 00:11:36,320
Speaker 3: massive October surprise, a lot of you are already going

199
00:11:36,360 --> 00:11:39,280
Speaker 3: to have voted. Remember the biggest takeaway to me of

200
00:11:39,320 --> 00:11:42,680
Speaker 3: twenty twenty two, Fetterman had half of his votes already

201
00:11:42,679 --> 00:11:45,920
Speaker 3: in before he ever debated Doctor Oz. A lot of

202
00:11:45,920 --> 00:11:49,120
Speaker 3: people recognized afterwards Man, Fetterman's a lot worse than they

203
00:11:49,120 --> 00:11:53,280
Speaker 3: were telling us, But they had already voted every single day.

204
00:11:53,720 --> 00:11:57,439
Speaker 3: Once we get to September, you are chasing a diminishing

205
00:11:57,559 --> 00:12:01,560
Speaker 3: number of voters. So whatever the snapshot is of the

206
00:12:01,640 --> 00:12:04,600
Speaker 3: nation at that point in time, only two months from now,

207
00:12:05,160 --> 00:12:07,440
Speaker 3: is a reflection likely of how the voting will go.

208
00:12:07,520 --> 00:12:11,240
Speaker 3: I'll also point out Jamal Bowman was a massive underdog.

209
00:12:11,320 --> 00:12:13,840
Speaker 3: You probably didn't hear that on any other shows in

210
00:12:13,880 --> 00:12:18,000
Speaker 3: the gambling markets. Gambling markets were like were right. George

211
00:12:18,120 --> 00:12:23,280
Speaker 3: Latimer crushed him. As the gambling market suggested, if I

212
00:12:23,360 --> 00:12:26,600
Speaker 3: have to choose between what somebody says on television or

213
00:12:26,679 --> 00:12:29,599
Speaker 3: what somebody puts their actual money on I'm going to

214
00:12:29,679 --> 00:12:32,400
Speaker 3: go with where they're putting their actual money, and the

215
00:12:32,520 --> 00:12:35,160
Speaker 3: numbers are suggesting that things are breaking for Trump in

216
00:12:35,200 --> 00:12:37,720
Speaker 3: a really good way again on the eve of the debate.

217
00:12:38,679 --> 00:12:41,400
Speaker 1: My son is away at camp for the summer. He's

218
00:12:41,480 --> 00:12:42,240
Speaker 1: up in Michigan.

219
00:12:43,000 --> 00:12:46,440
Speaker 3: I am right now texting with him, using his Pure

220
00:12:46,559 --> 00:12:50,280
Speaker 3: Talk phone to stay on and in touch with him.

221
00:12:50,360 --> 00:12:52,520
Speaker 3: During commercial breaks, I'll text him, just check and see

222
00:12:52,559 --> 00:12:55,640
Speaker 3: how his day is going, give him a call on FaceTime.

223
00:12:55,800 --> 00:12:58,000
Speaker 3: I'm using pure Talk to stay in touch with my

224
00:12:58,160 --> 00:13:01,320
Speaker 3: family when my oldest six teen year old is away

225
00:13:01,360 --> 00:13:04,400
Speaker 3: for a summer camp. If I trust them for my family,

226
00:13:04,480 --> 00:13:07,439
Speaker 3: you can trust them for your family. Save a bundle

227
00:13:07,600 --> 00:13:10,079
Speaker 3: in the process, up to one thousand dollars by the

228
00:13:10,200 --> 00:13:12,200
Speaker 3: end of the year. And right now they've seen a

229
00:13:12,240 --> 00:13:15,040
Speaker 3: surge of new customers signing up to support a charity

230
00:13:15,280 --> 00:13:19,240
Speaker 3: helping our veterans called America's Warrior Partnership. They're on the

231
00:13:19,240 --> 00:13:22,720
Speaker 3: front lines preventing veterans suicide by filling the basic needs

232
00:13:22,720 --> 00:13:26,559
Speaker 3: of our vets, including housing, employment, food services, access to

233
00:13:26,679 --> 00:13:30,760
Speaker 3: medical benefits, counseling, just to name five. Puretalk has decided

234
00:13:30,800 --> 00:13:35,800
Speaker 3: to extend their support for AWP through the July fourth weekend.

235
00:13:36,280 --> 00:13:39,400
Speaker 3: You can switch your cell phone service before July fourth

236
00:13:39,480 --> 00:13:42,760
Speaker 3: and you'll be helping support veterans in need across the

237
00:13:42,800 --> 00:13:46,280
Speaker 3: country while also saving a bundle. Just dial pound two

238
00:13:46,400 --> 00:13:49,000
Speaker 3: fifty say the keywords Clay and Buck. You'll be connected

239
00:13:49,000 --> 00:13:51,760
Speaker 3: to Puretalk's US customer service team.

240
00:13:52,080 --> 00:13:55,280
Speaker 1: That's Pound two five zero. Say the keywords Clay and Bucks.

241
00:13:55,960 --> 00:13:57,640
Speaker 1: Two guys walk up to a mic.

242
00:13:59,559 --> 00:14:04,640
Speaker 3: Anything goes Clay, Travis and Fuck Sexton by them on

243
00:14:04,720 --> 00:14:08,400
Speaker 3: the free iHeartRadio app or wherever you get your podcast.

244
00:14:08,600 --> 00:14:12,760
Speaker 3: Welcome back in Clay Travis Buck Sexton Show. I'm fired

245
00:14:12,840 --> 00:14:16,120
Speaker 3: up for the cheeseheads out there. You Wisconsin Heights. We're

246
00:14:16,120 --> 00:14:19,200
Speaker 3: gonna be up with you for a full week in

247
00:14:19,360 --> 00:14:22,880
Speaker 3: Milwaukee in what about three weeks or so ish two

248
00:14:22,880 --> 00:14:23,720
Speaker 3: weeks whatever.

249
00:14:23,440 --> 00:14:25,280
Speaker 1: The math is for the RNC.

250
00:14:26,880 --> 00:14:33,600
Speaker 3: Consistently, Wisconsin is now the weakest of the three deciding

251
00:14:33,680 --> 00:14:38,840
Speaker 3: Big ten states Pennsylvania, Michigan, Wisconsin in all of the polling,

252
00:14:40,120 --> 00:14:45,160
Speaker 3: and Wisconsin was the strongest Trump state in twenty twenty.

253
00:14:46,480 --> 00:14:50,600
Speaker 3: I can't figure out why that would be. You would

254
00:14:50,640 --> 00:14:54,080
Speaker 3: expect Michigan has been in sixteen.

255
00:14:54,160 --> 00:14:56,440
Speaker 1: It was the state that Trump won by the least.

256
00:14:57,000 --> 00:14:59,600
Speaker 3: In twenty, it was the state that he lost by

257
00:14:59,800 --> 00:15:05,200
Speaker 3: the most. That kind of corresponds right now. I think

258
00:15:05,240 --> 00:15:08,320
Speaker 3: there's been a change in Michigan because I think the

259
00:15:08,680 --> 00:15:14,600
Speaker 3: Israel and Palestine, the conflict between Hamas and Israel, has

260
00:15:14,920 --> 00:15:19,160
Speaker 3: diluted some of the strength of Biden in Michigan. Is

261
00:15:19,200 --> 00:15:23,960
Speaker 3: that the reason is Wisconsin just so much wider and

262
00:15:24,040 --> 00:15:29,240
Speaker 3: so the Black support dropping for Biden and the Jewish

263
00:15:29,280 --> 00:15:33,720
Speaker 3: and Arab voting conflict is do you think that could

264
00:15:33,760 --> 00:15:33,920
Speaker 3: be it?

265
00:15:34,000 --> 00:15:34,240
Speaker 1: Buck?

266
00:15:34,280 --> 00:15:38,680
Speaker 3: I mean, I'm genuinely confused as to what has occurred

267
00:15:38,720 --> 00:15:41,880
Speaker 3: in Wisconsin. That the movement is the opposite of what

268
00:15:41,960 --> 00:15:44,760
Speaker 3: we saw in sixteen and twenty. Let's open it up.

269
00:15:45,280 --> 00:15:49,040
Speaker 1: We're number one on WISN in Wisconsin in the Milwaukee area.

270
00:15:49,080 --> 00:15:52,360
Speaker 1: We're on some other great stations in the state of Wisconsin.

271
00:15:52,560 --> 00:15:55,239
Speaker 1: So if you're Wisconsin, I if you listen to WSN

272
00:15:55,360 --> 00:16:00,360
Speaker 1: or WISN or any of our affiliates in that state,

273
00:16:00,400 --> 00:16:03,080
Speaker 1: please do. Or you're listing streaming, maybe on the Clay

274
00:16:03,080 --> 00:16:07,040
Speaker 1: and Buck app or on the iHeart app, please call

275
00:16:07,120 --> 00:16:09,840
Speaker 1: in and give us your theory as to why why

276
00:16:09,880 --> 00:16:12,080
Speaker 1: Wisconsin is the one that seems to be lagging of

277
00:16:12,080 --> 00:16:16,560
Speaker 1: all the swing states. Doesn't make sense. Something must be up.

278
00:16:16,560 --> 00:16:19,320
Speaker 1: I don't know I think we'll dive into into some

279
00:16:19,360 --> 00:16:22,120
Speaker 1: more of that and and get a better sense as

280
00:16:22,160 --> 00:16:24,600
Speaker 1: to how that's going to go. Also, obviously, we've got

281
00:16:24,640 --> 00:16:28,080
Speaker 1: the critical Senate race there with the Eric Eric Hovedy. Yeah,

282
00:16:28,160 --> 00:16:30,440
Speaker 1: are we going to have two Republican senator from Wisconsin?

283
00:16:30,560 --> 00:16:32,960
Speaker 1: Is you're going to join our buddy Ron Johnsenator Ron Johnson.

284
00:16:33,000 --> 00:16:35,400
Speaker 1: We certainly hope. So we'll be talking to him more

285
00:16:35,400 --> 00:16:38,400
Speaker 1: as this gets closer. You know, I think if you're

286
00:16:38,440 --> 00:16:42,480
Speaker 1: picking two Senate races that are critical for the Senate control,

287
00:16:42,560 --> 00:16:45,640
Speaker 1: but also give us a sense as to how the

288
00:16:45,720 --> 00:16:48,840
Speaker 1: general election is going to go for the presidency, as

289
00:16:48,880 --> 00:16:52,280
Speaker 1: go with Wisconsin and Pennsylvania Senate races, so go with

290
00:16:52,360 --> 00:16:56,400
Speaker 1: the presidential election. I think very likely. It's very I

291
00:16:56,880 --> 00:17:00,720
Speaker 1: can't foresee us losing let's say mca ormick's race and

292
00:17:00,760 --> 00:17:05,119
Speaker 1: Hubde's race, McCormick and Pennsylvania, hubd in Wisconsin and Trump

293
00:17:05,119 --> 00:17:07,320
Speaker 1: winning those states. And if Trump doesn't win those states,

294
00:17:08,000 --> 00:17:11,080
Speaker 1: that gets real complicated for him very fast. I will say.

295
00:17:11,119 --> 00:17:14,960
Speaker 3: One of the interesting dynamics of the polling so far

296
00:17:15,480 --> 00:17:19,520
Speaker 3: is that Biden is actually trailing all of the Senate

297
00:17:19,560 --> 00:17:23,480
Speaker 3: candidates in the battleground states, suggesting that he's a uniquely

298
00:17:23,600 --> 00:17:28,400
Speaker 3: weak Democrat presidential candidate that he would be running behind. Now,

299
00:17:28,440 --> 00:17:32,160
Speaker 3: some of that maybe incumbency where you have guys who

300
00:17:32,400 --> 00:17:34,919
Speaker 3: are gals who've been in office for a while. But

301
00:17:35,280 --> 00:17:38,880
Speaker 3: that to me, we haven't seen tickets splitting among the Democrats. Unfortunately,

302
00:17:38,880 --> 00:17:41,159
Speaker 3: we have seen it among Republicans in recent elections. We

303
00:17:41,200 --> 00:17:45,399
Speaker 3: haven't seen tickets splitting in a major way for a Democrat.

304
00:17:45,400 --> 00:17:49,480
Speaker 3: And then not Biden, but RFK in what is he

305
00:17:49,520 --> 00:17:50,840
Speaker 3: on ten state ballots now?

306
00:17:51,000 --> 00:17:52,920
Speaker 1: That may play a major role. I mean, there are

307
00:17:52,960 --> 00:17:55,760
Speaker 1: so many variables here. We'll continue to break them all

308
00:17:55,800 --> 00:17:58,160
Speaker 1: down for you. But you know a lot of CEOs

309
00:17:58,240 --> 00:18:00,520
Speaker 1: just want the biggest possible salary they can get. It's

310
00:18:00,560 --> 00:18:03,600
Speaker 1: true they want to get paid paid too much sometimes,

311
00:18:03,880 --> 00:18:05,880
Speaker 1: But until a couple of years ago, my friend Porter

312
00:18:06,000 --> 00:18:08,840
Speaker 1: Stansbury was one of these guys who was thinking, hey,

313
00:18:09,200 --> 00:18:10,840
Speaker 1: what's a better way to get paid.

314
00:18:10,840 --> 00:18:11,840
Speaker 2: Well, he's come up with it.

315
00:18:11,880 --> 00:18:14,119
Speaker 1: Now he earns just a dollar a year in salary

316
00:18:14,600 --> 00:18:17,320
Speaker 1: because he's found a better way to get compensated. Why

317
00:18:17,320 --> 00:18:19,840
Speaker 1: would he make such a dramatic change to compensation for

318
00:18:19,920 --> 00:18:22,359
Speaker 1: a major company that he runs well, Porter did it

319
00:18:22,400 --> 00:18:24,240
Speaker 1: because he said there's a better way to get paid,

320
00:18:24,600 --> 00:18:27,440
Speaker 1: and you can get paid that way. That's what's so critical.

321
00:18:27,440 --> 00:18:29,919
Speaker 1: This effects all of you. Should you choose to go

322
00:18:29,960 --> 00:18:32,440
Speaker 1: down this pathway, you don't need to be a CEO.

323
00:18:32,640 --> 00:18:35,520
Speaker 1: Thousands of Americans in a whole variety of full time

324
00:18:35,600 --> 00:18:39,040
Speaker 1: roles have already started to get compensated with this new

325
00:18:39,200 --> 00:18:42,399
Speaker 1: form of money. It's the critical way to protect your

326
00:18:42,440 --> 00:18:46,320
Speaker 1: income as the dollar collapse continues. Check out Porter's latest

327
00:18:46,359 --> 00:18:51,000
Speaker 1: detailed presentation online at secret Currency twenty twenty four dot com.

328
00:18:51,160 --> 00:18:54,600
Speaker 1: You won't see this opportunity discussed anywhere else. That's Secret

329
00:18:54,880 --> 00:18:58,560
Speaker 1: Currency twenty twenty four dot com. Okay, so we were

330
00:18:58,600 --> 00:19:01,919
Speaker 1: just talking before about the really interesting numbers out of

331
00:19:01,960 --> 00:19:07,440
Speaker 1: these six swing states, the deciders in the swing states,

332
00:19:07,520 --> 00:19:13,760
Speaker 1: so getting right down, getting it granular focused in the

333
00:19:13,800 --> 00:19:19,800
Speaker 1: greatest precision they can on who will be determining on

334
00:19:19,880 --> 00:19:23,080
Speaker 1: election night whether it is a happy night for Trump

335
00:19:23,160 --> 00:19:27,080
Speaker 1: or a happy night for Biden. And the fact that

336
00:19:27,119 --> 00:19:34,760
Speaker 1: a majority of that segment the designers trust Trump on democracy,

337
00:19:35,000 --> 00:19:37,960
Speaker 1: on democracy, never mind the economy, the border, more than

338
00:19:38,000 --> 00:19:44,320
Speaker 1: Biden is a huge, huge warning sign for the whole

339
00:19:44,359 --> 00:19:48,320
Speaker 1: Biden thesis of his reelection. This isn't just another policy issue.

340
00:19:48,320 --> 00:19:51,160
Speaker 1: This is why should Joe Biden be president for more

341
00:19:51,200 --> 00:19:55,600
Speaker 1: four more years? Threats to democracy? Also some polling in

342
00:19:55,680 --> 00:20:00,280
Speaker 1: here from the Atlanta Journal Constitution Dana Perino side this

343
00:20:00,400 --> 00:20:05,680
Speaker 1: here that Trump and RFK when it comes to eighteen

344
00:20:05,760 --> 00:20:10,200
Speaker 1: to twenty nine year old voters way ahead play three.

345
00:20:10,440 --> 00:20:13,359
Speaker 4: So this is the Atlanta Journal Constitution about young voters

346
00:20:13,359 --> 00:20:16,240
Speaker 4: in particular. These are eighteen to twenty nine year olds

347
00:20:16,600 --> 00:20:19,480
Speaker 4: going for Trump at thirty seven point two percent, RFK

348
00:20:19,680 --> 00:20:23,240
Speaker 4: twenty nine point seven percent, and Biden just at twelve percent,

349
00:20:23,560 --> 00:20:26,119
Speaker 4: So that those are likely Georgia voters or eighteen to

350
00:20:26,160 --> 00:20:26,640
Speaker 4: twenty nine.

351
00:20:27,520 --> 00:20:29,720
Speaker 1: So now that's one state, but it's a swing state.

352
00:20:29,760 --> 00:20:32,639
Speaker 1: It's an important state, right, doesn't matter what the eighteen

353
00:20:32,640 --> 00:20:33,960
Speaker 1: to twenty nine year olds are going to do in

354
00:20:34,000 --> 00:20:37,400
Speaker 1: California or honestly, for that matter, Texas, although make sure

355
00:20:37,400 --> 00:20:39,320
Speaker 1: you show up Texas. Eighteen and twenty nine year olds's

356
00:20:39,320 --> 00:20:41,239
Speaker 1: got to win by a lot. But that's not going

357
00:20:41,280 --> 00:20:45,480
Speaker 1: to change the election. This could really matter. I mean

358
00:20:45,680 --> 00:20:50,520
Speaker 1: RFK on the ballot. Are you really confident now whether

359
00:20:50,720 --> 00:20:54,600
Speaker 1: RFK hurts Trump Probiden or are you still. I'll be honest,

360
00:20:55,040 --> 00:20:57,600
Speaker 1: my gut tells me it hurts Trump more to have

361
00:20:57,680 --> 00:21:00,639
Speaker 1: him on. But maybe I'm just being cynical. I don't know.

362
00:21:00,800 --> 00:21:06,120
Speaker 1: I don't have true clarity on the RFK component. This

363
00:21:06,160 --> 00:21:08,080
Speaker 1: is where I love being a data nerd. And we

364
00:21:08,160 --> 00:21:11,240
Speaker 1: won't know until after the election itself and we finally

365
00:21:11,280 --> 00:21:14,600
Speaker 1: get some of those post voting tallies and you can

366
00:21:14,600 --> 00:21:18,520
Speaker 1: start to break down the demos. I'm starting to think

367
00:21:19,040 --> 00:21:22,679
Speaker 1: that there is a segment of the population that is

368
00:21:23,480 --> 00:21:27,199
Speaker 1: anti Biden but not willing to get to pro Trump.

369
00:21:28,560 --> 00:21:32,199
Speaker 3: That is I don't and I think the RFK vote,

370
00:21:32,320 --> 00:21:34,240
Speaker 3: or it could be Cornell West, or it could be

371
00:21:34,280 --> 00:21:39,160
Speaker 3: the Libertarian or the Green Party is an acceptable medium

372
00:21:39,480 --> 00:21:43,760
Speaker 3: where it's almost cool for younger people to vote for him,

373
00:21:44,160 --> 00:21:45,600
Speaker 3: and that pulls away from Biden.

374
00:21:45,640 --> 00:21:47,320
Speaker 1: And you lived in New York City. I'm wondering if

375
00:21:47,320 --> 00:21:48,199
Speaker 1: you would buy into this.

376
00:21:48,280 --> 00:21:51,359
Speaker 3: You talked about your libertarian phrase from your phase and

377
00:21:51,359 --> 00:21:52,640
Speaker 3: you're trying to pick up girls.

378
00:21:53,200 --> 00:21:54,600
Speaker 1: Yeah, trouble do you want to have friends in a

379
00:21:54,640 --> 00:21:57,520
Speaker 1: cocktail party? You're like, I'm libertarian, I'm socially liberal but

380
00:21:57,560 --> 00:22:00,440
Speaker 1: fiscally conservative. Yeah, so the pretty girls are like, oh,

381
00:22:00,520 --> 00:22:03,960
Speaker 1: that's all I get. It's just like liberty so cute,

382
00:22:04,040 --> 00:22:05,120
Speaker 1: mister liberty man.

383
00:22:05,240 --> 00:22:08,359
Speaker 3: Yeah, so I can I can see that. And I

384
00:22:08,600 --> 00:22:13,120
Speaker 3: wonder whether some of those people in the South, in particular,

385
00:22:14,080 --> 00:22:16,960
Speaker 3: they don't want to be associated with the Maga red

386
00:22:16,960 --> 00:22:22,560
Speaker 3: hat wearing, tobacco spitting Trump driving rural voter, but they

387
00:22:22,680 --> 00:22:25,359
Speaker 3: also really don't want to be Biden, and so they're

388
00:22:25,440 --> 00:22:29,960
Speaker 3: kind of in the pox upon both of their houses universe,

389
00:22:30,480 --> 00:22:35,439
Speaker 3: and so the middle tier becomes acceptable, and it's a

390
00:22:35,480 --> 00:22:38,600
Speaker 3: shift from Biden to the middle and and that's what

391
00:22:38,720 --> 00:22:41,800
Speaker 3: this pull from it Georgia would suggest. And I don't

392
00:22:41,800 --> 00:22:44,560
Speaker 3: think that exists for the Trump team, right. I don't

393
00:22:44,560 --> 00:22:46,879
Speaker 3: think there are very many people at twenty twenty four

394
00:22:47,240 --> 00:22:50,080
Speaker 3: that are like, hey, I voted Trump in sixteen, I

395
00:22:50,240 --> 00:22:53,560
Speaker 3: voted Trump in twenty, but I really just can't pull

396
00:22:53,600 --> 00:22:56,520
Speaker 3: the lever for him in twenty four, so I'm going

397
00:22:56,600 --> 00:22:59,280
Speaker 3: to go vote RFK Junior. I don't think there are

398
00:22:59,280 --> 00:23:03,320
Speaker 3: that many other wise Trump voters that will go RFK Junior.

399
00:23:03,320 --> 00:23:05,720
Speaker 3: I think they're nicky Haley people. I think there are

400
00:23:05,840 --> 00:23:08,719
Speaker 3: some tiny segment of the Santis people that are super

401
00:23:08,840 --> 00:23:12,200
Speaker 3: angry online still about the way the primary went that'll

402
00:23:12,240 --> 00:23:15,760
Speaker 3: say I'm voted RFK Junior because they want attention. I

403
00:23:15,760 --> 00:23:18,560
Speaker 3: don't think it's really very prominent. So I'm starting to

404
00:23:18,680 --> 00:23:22,080
Speaker 3: think that RFK Junior is the I'm not willing to

405
00:23:22,160 --> 00:23:26,840
Speaker 3: vote Trump, but it's a Biden substitute. And we also

406
00:23:26,920 --> 00:23:31,200
Speaker 3: have Trump telling everybody about what his debate prep has been.

407
00:23:31,280 --> 00:23:31,399
Speaker 2: Like.

408
00:23:31,440 --> 00:23:36,280
Speaker 1: I always think of the Rocky training montage when he's

409
00:23:36,320 --> 00:23:39,480
Speaker 1: in Siberia and Rocky four. You know, I don't think

410
00:23:39,480 --> 00:23:41,840
Speaker 1: there's ever been a better training montage ever in the

411
00:23:41,920 --> 00:23:44,840
Speaker 1: history of cinema than for whatever. You don't know what

412
00:23:44,920 --> 00:23:47,000
Speaker 1: I'm talking about, but I like the one where he's

413
00:23:47,040 --> 00:23:51,200
Speaker 1: just hitting the meat in Rocky one. In the meat

414
00:23:51,680 --> 00:23:54,720
Speaker 1: that's a pretty good train Like, that's pretty good training montage.

415
00:23:54,720 --> 00:23:56,879
Speaker 1: And when he runs up the stairs and starts jumping,

416
00:23:56,880 --> 00:23:59,199
Speaker 1: they built a statue for that. So this may be

417
00:23:59,200 --> 00:24:02,119
Speaker 1: a controversial take by you. Some guys prefer to hit

418
00:24:02,119 --> 00:24:07,680
Speaker 1: the meet. I like the Siberia training personally. So anyway,

419
00:24:07,800 --> 00:24:10,240
Speaker 1: the point here being when you ask Trump, how is

420
00:24:10,240 --> 00:24:15,159
Speaker 1: he preparing for this debate? He gave quite an answer.

421
00:24:15,160 --> 00:24:15,920
Speaker 1: This is fourteen.

422
00:24:17,840 --> 00:24:20,200
Speaker 5: I think I've been preparing for it for my whole life.

423
00:24:20,280 --> 00:24:22,679
Speaker 5: If you want another truth, and I'm not sure you

424
00:24:22,680 --> 00:24:25,119
Speaker 5: can lock yourself into a room for two weeks or

425
00:24:25,160 --> 00:24:27,920
Speaker 5: one week or two days and really learn what you

426
00:24:28,000 --> 00:24:30,360
Speaker 5: have to know. And I've been through it. I've been,

427
00:24:30,800 --> 00:24:33,879
Speaker 5: you know, a popular president. We had some great elections

428
00:24:33,920 --> 00:24:37,200
Speaker 5: and some amazing you know number of votes. Nobody got

429
00:24:37,200 --> 00:24:39,920
Speaker 5: more than we got. You know, I know the subject now.

430
00:24:39,960 --> 00:24:43,040
Speaker 5: You know, they may get cute because it's obviously at CNN,

431
00:24:43,080 --> 00:24:45,320
Speaker 5: and I call it fake news for a long time.

432
00:24:45,359 --> 00:24:46,960
Speaker 5: We'll see how they do it. I think they have

433
00:24:47,000 --> 00:24:47,920
Speaker 5: a lot at stake.

434
00:24:47,760 --> 00:24:48,280
Speaker 1: To be fair.

435
00:24:48,359 --> 00:24:50,640
Speaker 5: I think they have to be fair. But we'll see

436
00:24:50,640 --> 00:24:52,440
Speaker 5: how we do. I think we'll do very well. We've

437
00:24:52,480 --> 00:24:54,159
Speaker 5: done well in the past, and I think we'll do

438
00:24:54,280 --> 00:24:56,440
Speaker 5: very well. I know the subject matter, but I don't

439
00:24:56,480 --> 00:24:58,560
Speaker 5: think Corey, you could just lock yourself in a room

440
00:24:58,640 --> 00:25:01,080
Speaker 5: like some people do and think gonna come out Okay.

441
00:25:01,240 --> 00:25:02,160
Speaker 5: It doesn't seem to.

442
00:25:02,080 --> 00:25:03,680
Speaker 2: Work that way, you know, Clay.

443
00:25:03,840 --> 00:25:05,440
Speaker 1: The more I thought about this, I know, I guess.

444
00:25:05,600 --> 00:25:07,720
Speaker 1: I was like, here's what I think Trump Trump needs

445
00:25:07,720 --> 00:25:11,320
Speaker 1: to do. And I say that knowing that Trump is

446
00:25:11,359 --> 00:25:13,840
Speaker 1: gonna be Trump. He's gonna do it, He's gonna do

447
00:25:13,840 --> 00:25:17,080
Speaker 1: it exactly his way. He's gonna go with his gut

448
00:25:17,119 --> 00:25:20,639
Speaker 1: and he's gonna all the stuff about what should Trump do.

449
00:25:21,560 --> 00:25:24,040
Speaker 1: The only person who's making any determinations about that at

450
00:25:24,040 --> 00:25:25,840
Speaker 1: all is Donald Trump himself.

451
00:25:26,560 --> 00:25:28,800
Speaker 3: I also think that there's a lot of truth to

452
00:25:28,880 --> 00:25:32,000
Speaker 3: what he says. And what I mean by that is

453
00:25:32,600 --> 00:25:35,840
Speaker 3: you can over prepare and get so much in your

454
00:25:35,960 --> 00:25:40,280
Speaker 3: head that you aren't able to react as you normally would.

455
00:25:40,400 --> 00:25:42,680
Speaker 3: Let me give you an example of this, buck from

456
00:25:42,680 --> 00:25:45,639
Speaker 3: the world to sports. One of the things that often

457
00:25:45,680 --> 00:25:49,840
Speaker 3: happens is they get so specific in trying to teach you,

458
00:25:49,880 --> 00:25:53,320
Speaker 3: for instance, on a defense, what you should do, and

459
00:25:53,359 --> 00:25:57,480
Speaker 3: the defense gets so complicated that you can't play fast

460
00:25:57,960 --> 00:26:02,840
Speaker 3: because instead of reacting, you're thinking about how you should react,

461
00:26:03,200 --> 00:26:05,000
Speaker 3: and that comes off as artificial.

462
00:26:05,880 --> 00:26:06,600
Speaker 1: I'm a big.

463
00:26:06,440 --> 00:26:11,119
Speaker 3: Believer in just trust your instincts and go balls to

464
00:26:11,160 --> 00:26:14,639
Speaker 3: the wall, and Trump obviously does that too. I would

465
00:26:14,680 --> 00:26:17,240
Speaker 3: also tie that in with this is why I've never

466
00:26:17,280 --> 00:26:20,840
Speaker 3: been a therapy guy. Like I understand. Some of you

467
00:26:20,880 --> 00:26:23,520
Speaker 3: may have incredible therapists. You may go see them all

468
00:26:23,560 --> 00:26:25,840
Speaker 3: the time, you may feel like your life has been

469
00:26:25,920 --> 00:26:29,080
Speaker 3: changed completely by it. I don't want to get too

470
00:26:29,119 --> 00:26:32,040
Speaker 3: much in my head, Like I don't want to be

471
00:26:32,080 --> 00:26:35,119
Speaker 3: sitting there thinking like when I said, this was my

472
00:26:35,280 --> 00:26:40,199
Speaker 3: motivation because when I was eight years old, this experience

473
00:26:40,280 --> 00:26:42,600
Speaker 3: happened in my life, and now I'm going to get

474
00:26:42,800 --> 00:26:46,119
Speaker 3: like you get so caught up in navel gazing and

475
00:26:46,240 --> 00:26:49,639
Speaker 3: worrying about what other people are telling you that you

476
00:26:49,840 --> 00:26:53,800
Speaker 3: feel profoundly and authentic. And I think that's the number

477
00:26:53,840 --> 00:26:57,960
Speaker 3: one thing that Trump's audience likes is there is no

478
00:26:58,080 --> 00:27:00,640
Speaker 3: bs and there's not much of a filter. And sometimes

479
00:27:00,640 --> 00:27:02,960
Speaker 3: that's a bull in a china shop, but it ain't

480
00:27:03,000 --> 00:27:07,879
Speaker 3: somebody sitting around saying, hey, we workshopped this, and you

481
00:27:08,040 --> 00:27:10,880
Speaker 3: need to use this phrase because it tests a little

482
00:27:10,920 --> 00:27:15,160
Speaker 3: bit better because it often sounds like what people don't

483
00:27:15,200 --> 00:27:16,119
Speaker 3: actually sound like.

484
00:27:16,160 --> 00:27:18,760
Speaker 1: Does that make sense? You always hear well?

485
00:27:18,800 --> 00:27:21,120
Speaker 3: This is when when I was my family, we set

486
00:27:21,119 --> 00:27:23,560
Speaker 3: around the kitchen table and we talked about our budget,

487
00:27:23,600 --> 00:27:27,240
Speaker 3: and there's like, really, that sounds really weird, and I

488
00:27:27,280 --> 00:27:30,080
Speaker 3: understand it might test well, but it's also really an

489
00:27:30,119 --> 00:27:33,199
Speaker 3: authentic and sometimes people don't know what they want to

490
00:27:33,240 --> 00:27:36,560
Speaker 3: hear until they hear it. Remember when Steve Jobs came

491
00:27:36,600 --> 00:27:39,680
Speaker 3: out with the iPhone didn't test well who were like,

492
00:27:39,720 --> 00:27:42,200
Speaker 3: I don't want a glass faced phone. I don't want

493
00:27:42,200 --> 00:27:44,359
Speaker 3: a phone that has all the computer stuff on it.

494
00:27:44,400 --> 00:27:47,760
Speaker 3: I don't And he said, I know. Basically I'm paraphrasing him,

495
00:27:48,000 --> 00:27:51,439
Speaker 3: I know what people want better than they do, and

496
00:27:51,480 --> 00:27:53,919
Speaker 3: he was right. The most successful product launch probably in

497
00:27:53,920 --> 00:27:57,119
Speaker 3: the history of any of Our Lives. But it tested awful.

498
00:27:58,000 --> 00:28:01,240
Speaker 3: Seinfeld tested awful. Probably the most six full television show

499
00:28:01,840 --> 00:28:04,080
Speaker 3: of Our lives. It was a show about nothing. You

500
00:28:04,080 --> 00:28:06,240
Speaker 3: could think that people might not be that into nothing

501
00:28:06,320 --> 00:28:08,320
Speaker 3: until they experience nothing.

502
00:28:08,560 --> 00:28:10,760
Speaker 2: Exactly, I'm watching a show about nothing.

503
00:28:11,320 --> 00:28:15,840
Speaker 3: I would suggest to you that oftentimes the most popular

504
00:28:16,000 --> 00:28:22,520
Speaker 3: things are very poorly received in workshopping and in analysis

505
00:28:22,720 --> 00:28:26,480
Speaker 3: because people don't know what they really want until they

506
00:28:26,520 --> 00:28:27,320
Speaker 3: see something new.

507
00:28:27,600 --> 00:28:29,159
Speaker 1: I just want to tell you that people do know

508
00:28:29,200 --> 00:28:32,200
Speaker 1: what they want when it comes to training montages, Kevin

509
00:28:32,240 --> 00:28:35,359
Speaker 1: writes on Twitter point for Buck Rocky four is the

510
00:28:35,359 --> 00:28:39,120
Speaker 1: masterclass of montages, not only training in Siberia, but also

511
00:28:39,160 --> 00:28:42,880
Speaker 1: the montage after Apologize and Rocky Oh spoiler.

512
00:28:42,960 --> 00:28:44,720
Speaker 3: What if there's people out there haven't caught up on

513
00:28:44,760 --> 00:28:46,720
Speaker 3: the whole Rocky franchise.

514
00:28:46,240 --> 00:28:48,520
Speaker 1: You just ruined it for them. Please, there's a statue

515
00:28:48,520 --> 00:28:49,520
Speaker 1: of an eight year old.

516
00:28:49,840 --> 00:28:51,920
Speaker 3: There's an eight year old sitting with his mom and

517
00:28:52,000 --> 00:28:54,480
Speaker 3: dad right now, riding around in the car, not old

518
00:28:54,600 --> 00:28:57,440
Speaker 3: enough to see Rocky right now, and you just ruin

519
00:28:57,560 --> 00:28:58,520
Speaker 3: the whole thing for him.

520
00:28:58,760 --> 00:29:01,880
Speaker 1: You gotta tell them who dark from. Kevin's a student

521
00:29:01,880 --> 00:29:04,640
Speaker 1: analysis of what the superior montage is. But I'm just

522
00:29:04,640 --> 00:29:07,640
Speaker 1: saying that people have spoken. I don't think Siberia has

523
00:29:07,680 --> 00:29:11,920
Speaker 1: a Rocky statue. That's maybe my capstone here. Philadelphia has

524
00:29:12,000 --> 00:29:15,360
Speaker 1: the Rocky statue to celebrate the montage of him running

525
00:29:15,360 --> 00:29:19,479
Speaker 1: the steps there. Rocky statue in Siberia was made of

526
00:29:19,760 --> 00:29:24,320
Speaker 1: ice and blood play. It's very different. Is Rocky four

527
00:29:24,680 --> 00:29:28,520
Speaker 1: even allowed to be seen in Russia?

528
00:29:28,600 --> 00:29:30,040
Speaker 2: I bet it's not popular there.

529
00:29:30,640 --> 00:29:33,120
Speaker 1: I would think it's probably not. I don't think it's

530
00:29:33,160 --> 00:29:36,720
Speaker 1: probably not. I'm not gonna work here anymore. It's true.

531
00:29:36,840 --> 00:29:38,880
Speaker 1: I'm just saying makes some of your calls. By the way,

532
00:29:38,920 --> 00:29:40,520
Speaker 1: we want to dive into some of your calls here.

533
00:29:40,520 --> 00:29:43,600
Speaker 1: Eight hunderd two A two two eight a two. Let's

534
00:29:43,600 --> 00:29:46,560
Speaker 1: talk about Preborn for a second. They do so incredibly

535
00:29:46,800 --> 00:29:50,680
Speaker 1: important work. Preborn gives pregnant mothers who are thinking about

536
00:29:50,720 --> 00:29:52,840
Speaker 1: what are they going to do with this unborn child

537
00:29:53,080 --> 00:29:53,680
Speaker 1: in the womb?

538
00:29:54,200 --> 00:29:54,959
Speaker 2: What are they gonna do?

539
00:29:55,200 --> 00:29:58,560
Speaker 1: Well? Preborn gives them a better alternative than abortion, life

540
00:29:58,800 --> 00:30:02,200
Speaker 1: for their unborn child. Preborn accomplishes this every day by

541
00:30:02,200 --> 00:30:04,960
Speaker 1: providing mothers a chance to meet their child via ultrasound.

542
00:30:05,200 --> 00:30:08,680
Speaker 1: Because when mom sees that unborn baby on the ultrasound,

543
00:30:08,720 --> 00:30:13,440
Speaker 1: here's the heartbeat. So often the choice becomes easy, becomes clear.

544
00:30:13,520 --> 00:30:17,400
Speaker 1: There is no other choice. It's for life. Every day,

545
00:30:17,440 --> 00:30:22,880
Speaker 1: Preborn Networks of clinics rescue two hundred babies just by

546
00:30:22,960 --> 00:30:26,360
Speaker 1: doing this. They rely on our donations, though yours in mind,

547
00:30:26,360 --> 00:30:29,520
Speaker 1: to pay for each ultrasound. So if today you have

548
00:30:29,840 --> 00:30:33,320
Speaker 1: a few dollars to spare, ten dollars, one hundred dollars,

549
00:30:34,000 --> 00:30:35,960
Speaker 1: one or two of you might have ten thousand dollars

550
00:30:36,240 --> 00:30:39,040
Speaker 1: because you've already donated those kinds of amounts to Preborn.

551
00:30:39,560 --> 00:30:42,440
Speaker 1: You the listeners to this show, and it is such

552
00:30:42,480 --> 00:30:48,520
Speaker 1: an incredible life saving and just godly thing that you do.

553
00:30:49,720 --> 00:30:53,160
Speaker 1: You know, Christian, Jewish, whatever your faith tradition may be

554
00:30:53,320 --> 00:30:56,680
Speaker 1: out there, When you can donate money to save lives,

555
00:30:56,720 --> 00:31:00,360
Speaker 1: you are doing what your creator would be proud of. Show.

556
00:31:00,640 --> 00:31:04,760
Speaker 1: Please donate whatever You can join Preborn's cause sponsoring one,

557
00:31:04,880 --> 00:31:09,080
Speaker 1: two or one hundred ultrasounds. All gifts are taxeductible. Whatever

558
00:31:09,120 --> 00:31:12,720
Speaker 1: you can donate will help dial Pound two fifty say

559
00:31:12,760 --> 00:31:16,680
Speaker 1: the keyword baby. That's pound two five zero say Baby.

560
00:31:16,800 --> 00:31:20,720
Speaker 1: Or visit preborn dot com slash Buck that's preborn dot

561
00:31:20,720 --> 00:31:25,800
Speaker 1: Com slash Buck sponsored by Preborn. Have fun with the

562
00:31:25,880 --> 00:31:30,560
Speaker 1: guys on Sundays the Sunday Hang Podcast. It's silly, it's goofy,

563
00:31:30,800 --> 00:31:32,040
Speaker 1: it's good times.

564
00:31:32,560 --> 00:31:34,920
Speaker 3: Fight it in the Clay and Buck podcast feed on

565
00:31:34,960 --> 00:31:39,360
Speaker 3: the iHeartRadio app or wherever you get your podcasts. Welcome

566
00:31:39,360 --> 00:31:42,400
Speaker 3: back in Clay, Travis Buck Sexton Show. Appreciate all of

567
00:31:42,440 --> 00:31:44,840
Speaker 3: you hanging out with us. A lot of you want

568
00:31:44,840 --> 00:31:47,760
Speaker 3: to weigh in from Wisconsin. We asked, what's going on?

569
00:31:48,680 --> 00:31:51,920
Speaker 3: Why are all these other states swinging towards Trump in

570
00:31:51,960 --> 00:31:56,360
Speaker 3: a big way? Nevada Trump lost, Arizona, Trump lost, Georgia

571
00:31:56,400 --> 00:32:00,160
Speaker 3: Trump lost. He's up by five now in all of

572
00:32:00,160 --> 00:32:04,120
Speaker 3: those states, according to a Washington Post poll today. Meanwhile,

573
00:32:04,440 --> 00:32:10,160
Speaker 3: Biden won Michigan by like three points. Now Trump's up three.

574
00:32:10,280 --> 00:32:14,720
Speaker 3: That's a six point swing. Trump only lost Wisconsin by

575
00:32:14,760 --> 00:32:18,920
Speaker 3: twenty thousand votes. If I'm remembering correctly, and yet Biden

576
00:32:19,160 --> 00:32:23,160
Speaker 3: is retaining or even potentially growing his lead.

577
00:32:23,400 --> 00:32:24,400
Speaker 1: Based on the poll.

578
00:32:24,600 --> 00:32:29,160
Speaker 3: It's the only battleground state where Biden seems potentially to

579
00:32:29,160 --> 00:32:31,960
Speaker 3: be doing better in twenty four than he is in

580
00:32:32,080 --> 00:32:35,840
Speaker 3: twenty based on all the polling. We're asking why, Mike,

581
00:32:36,400 --> 00:32:38,320
Speaker 3: you're out in Milwaukee.

582
00:32:38,480 --> 00:32:42,000
Speaker 1: What do you think? He's a daily WISN listener, by

583
00:32:42,040 --> 00:32:44,200
Speaker 1: the way, Thank you much, correct, Mike, What do you

584
00:32:44,200 --> 00:32:45,600
Speaker 1: think is going on? Do you buy it?

585
00:32:47,320 --> 00:32:47,560
Speaker 6: Well?

586
00:32:48,280 --> 00:32:49,040
Speaker 4: I do buy it.

587
00:32:49,480 --> 00:32:52,960
Speaker 6: Our media up here, we do have one WISN. They're wonderful.

588
00:32:53,040 --> 00:32:56,000
Speaker 6: I listened to them every day for twenty years. I

589
00:32:56,040 --> 00:32:58,280
Speaker 6: also listen to some of the other stations to see

590
00:32:58,280 --> 00:33:02,720
Speaker 6: what's going on. And all the media and even radio

591
00:33:02,800 --> 00:33:09,440
Speaker 6: stations surrounding us either omits or bash anything that has

592
00:33:09,480 --> 00:33:12,440
Speaker 6: to do with Trump or right wing. And then on

593
00:33:12,520 --> 00:33:15,400
Speaker 6: top of it, we have the college systems in Madison

594
00:33:15,440 --> 00:33:20,280
Speaker 6: and Milwaukee by they're really lefty and they're not hearing it.

595
00:33:20,400 --> 00:33:25,480
Speaker 6: They don't care. And then on top of that, like say,

596
00:33:25,560 --> 00:33:28,080
Speaker 6: for instance, in our last governor's race, after some of

597
00:33:28,120 --> 00:33:31,680
Speaker 6: the candidates for the Republicans I dropped out, they did

598
00:33:31,680 --> 00:33:34,920
Speaker 6: not support one another that there needs to be more

599
00:33:35,000 --> 00:33:40,080
Speaker 6: support amongst each other. And I'm not seeing the volunteers.

600
00:33:40,120 --> 00:33:42,360
Speaker 6: I'm not seeing people get out there. For I go

601
00:33:42,440 --> 00:33:45,920
Speaker 6: by the Republican convention centers or the centers where they

602
00:33:46,440 --> 00:33:48,880
Speaker 6: hold them. They're empty there. There's nobody there, there's no

603
00:33:49,000 --> 00:33:52,680
Speaker 6: signs out, there's nothing. You don't see them walking door

604
00:33:52,720 --> 00:33:55,000
Speaker 6: to door, nothing like that. But I did have some

605
00:33:55,480 --> 00:33:58,040
Speaker 6: lefties walk door to door in my neighborhood. And my

606
00:33:58,120 --> 00:34:00,800
Speaker 6: doors are not that far. I mean, they're actually pretty

607
00:34:00,840 --> 00:34:06,000
Speaker 6: far apart. So we need to stick together more.

608
00:34:06,600 --> 00:34:11,080
Speaker 3: Thank you for the call. Again, I appreciate that analysis.

609
00:34:11,360 --> 00:34:14,800
Speaker 3: But it's not like ann Arbor, Michigan or Happy Valley,

610
00:34:14,840 --> 00:34:19,160
Speaker 3: Pennsylvania are bastions of right wing activism. I mean, I

611
00:34:19,280 --> 00:34:23,520
Speaker 3: get that Wisconsin, the University of Wisconsin and Madison, which

612
00:34:23,520 --> 00:34:25,560
Speaker 3: you and I are going to be at for the

613
00:34:25,719 --> 00:34:28,960
Speaker 3: game between Alabama and Wisconsin on September fourteenth.

614
00:34:28,760 --> 00:34:32,680
Speaker 1: Where I will be rooting there for my beloved Badgers.

615
00:34:32,840 --> 00:34:35,880
Speaker 3: Oh you're go, Flip. I thought you were in on Bama.

616
00:34:35,920 --> 00:34:37,520
Speaker 3: Now you're going for the home team.

617
00:34:37,560 --> 00:34:40,320
Speaker 1: No matter what. When I'm in Tuscaloosa, Clay, it is

618
00:34:40,360 --> 00:34:43,480
Speaker 1: all about my beloved Alabama and role tide. But when

619
00:34:43,480 --> 00:34:48,440
Speaker 1: I am in Wisconsin, the Badgers are my furry friends.

620
00:34:48,680 --> 00:34:51,880
Speaker 3: By the way, you have just totally Joe Biden to

621
00:34:51,920 --> 00:34:54,680
Speaker 3: yourself here because you're trying to you're trying to play

622
00:34:54,719 --> 00:34:58,400
Speaker 3: both sides of the coin. They would have more respect

623
00:34:58,480 --> 00:35:00,600
Speaker 3: for you. I think in Wisconsin, if you were staying

624
00:35:00,600 --> 00:35:03,440
Speaker 3: committed to Obama, they now have no respect for you.

625
00:35:03,520 --> 00:35:06,040
Speaker 3: In Tuscaloosa, I oh, I don't know.

626
00:35:06,080 --> 00:35:08,520
Speaker 1: They know double agents can be very valuable. You know,

627
00:35:08,600 --> 00:35:10,520
Speaker 1: it's it's war out there. What can I tell you?

628
00:35:10,560 --> 00:35:12,840
Speaker 1: I think Wisconsin's going to welcome me with open arms,

629
00:35:12,880 --> 00:35:14,799
Speaker 1: you know, with their badger claws.

630
00:35:15,360 --> 00:35:16,120
Speaker 2: I don't know.

631
00:35:16,400 --> 00:35:19,800
Speaker 3: Andy and northern Wisconsin are you going to welcome Bucker?

632
00:35:19,880 --> 00:35:21,239
Speaker 3: Do you want him to stay in Alabama?

633
00:35:22,360 --> 00:35:22,799
Speaker 6: What was that?

634
00:35:23,680 --> 00:35:27,200
Speaker 1: Oh? I had a great leader? Bye, I just fire away? Andy?

635
00:35:27,200 --> 00:35:28,680
Speaker 1: What you got for us?

636
00:35:29,080 --> 00:35:29,239
Speaker 3: Oh?

637
00:35:29,360 --> 00:35:34,000
Speaker 7: Yeah? Milwaukee and Madison are two cities that are thirty

638
00:35:34,080 --> 00:35:40,040
Speaker 7: miles surrounded by reality. We have, mister Veto, our governor

639
00:35:40,239 --> 00:35:42,960
Speaker 7: and Robin Boss those of the problems that are in

640
00:35:43,040 --> 00:35:43,640
Speaker 7: our state.

641
00:35:44,760 --> 00:35:47,120
Speaker 1: Margaret in Racine want to get you in from Wisconsin

642
00:35:47,160 --> 00:35:48,719
Speaker 1: as well. We only got about a minute here. What's

643
00:35:48,760 --> 00:35:50,440
Speaker 1: up Margaret Hi.

644
00:35:50,640 --> 00:35:54,680
Speaker 8: I'm a retired school teacher. The school union in this

645
00:35:54,840 --> 00:35:59,840
Speaker 8: state is so good at getting out the vote, solid Democratic.

646
00:35:59,880 --> 00:36:02,880
Speaker 8: They got the whole summer off. They are in the streets.

647
00:36:03,239 --> 00:36:05,000
Speaker 8: They did it when I was a teacher, I was

648
00:36:05,040 --> 00:36:09,399
Speaker 8: a loan conservative. The other thing in Wisconsin, we've got

649
00:36:09,440 --> 00:36:12,040
Speaker 8: a few big cities and the rest of the state

650
00:36:12,160 --> 00:36:15,799
Speaker 8: is rural, and those big cities are solid blue. It's

651
00:36:15,920 --> 00:36:18,600
Speaker 8: easy to get out that Democratic vote in the cities.

652
00:36:18,920 --> 00:36:22,719
Speaker 8: It's hard in rural Ron Johnson's the only one that

653
00:36:22,800 --> 00:36:24,799
Speaker 8: knows how to do it, and he did it and won.

654
00:36:25,160 --> 00:36:29,000
Speaker 8: And if Eric Hubby doesn't get his act together, his

655
00:36:29,120 --> 00:36:33,440
Speaker 8: commercials are already terrible. He's in big trouble with the

656
00:36:33,640 --> 00:36:35,040
Speaker 8: union against him.

657
00:36:35,440 --> 00:36:38,200
Speaker 1: Oh well, we're gonna we'll talk to Eric. I gotta

658
00:36:38,200 --> 00:36:39,920
Speaker 1: look at some of these commercials, make sure that he's

659
00:36:39,920 --> 00:36:43,600
Speaker 1: squared away. But that's great analysis, Margaret, because I remember

660
00:36:43,640 --> 00:36:48,919
Speaker 1: this Scott Walker fact, the governor Wisconsin messing with the teachers' union,

661
00:36:49,000 --> 00:36:51,680
Speaker 1: the blow to Democrat machinery. He kicked the hornet's nest