1
00:00:00,840 --> 00:00:04,240
Speaker 1: Welcome in everybody to the Monday edition of the Clay

2
00:00:04,240 --> 00:00:07,240
Speaker 1: Travis and Buck Sexton Show. Clay here with me in

3
00:00:07,560 --> 00:00:14,200
Speaker 1: South Florida. We made a pilgrimage to Poppy Steak last night. Yes,

4
00:00:14,840 --> 00:00:17,920
Speaker 1: Clay one is bet and I'm a man who pays

5
00:00:17,960 --> 00:00:21,200
Speaker 1: his debts, pays his bets, and so we went for

6
00:00:21,360 --> 00:00:23,560
Speaker 1: the most outrageous steak we could possibly find. It was

7
00:00:23,560 --> 00:00:26,080
Speaker 1: actually delicious And if you want to see the video,

8
00:00:26,840 --> 00:00:31,080
Speaker 1: it's already over a million views on Twitter. But go

9
00:00:31,120 --> 00:00:33,280
Speaker 1: to Clayandbuck dot com. We've got the video. It's a

10
00:00:33,320 --> 00:00:36,440
Speaker 1: lot of fun it trusts me, you'll giggle, you'll laugh,

11
00:00:36,479 --> 00:00:38,400
Speaker 1: You'll have some fun with it. We need a little

12
00:00:38,400 --> 00:00:43,199
Speaker 1: bit of the lighthearted while we're in focus mode here. Overall,

13
00:00:43,400 --> 00:00:48,280
Speaker 1: forty two days from the election. I cannot believe how

14
00:00:48,320 --> 00:00:51,440
Speaker 1: close this is. I mean, the numbers for when people

15
00:00:51,440 --> 00:00:53,120
Speaker 1: are going to be early voting, I mean you can

16
00:00:53,159 --> 00:00:56,560
Speaker 1: count this in days, not weeks. Really now a ton

17
00:00:56,840 --> 00:00:59,720
Speaker 1: coming in over the weekend. We're in the absolute thick

18
00:01:00,360 --> 00:01:05,680
Speaker 1: of the election, melee right now. And like I said,

19
00:01:05,720 --> 00:01:07,760
Speaker 1: you know, we were out last night Boppy Steak having

20
00:01:07,760 --> 00:01:10,360
Speaker 1: a good time. Some big news stories coming in that

21
00:01:10,440 --> 00:01:14,080
Speaker 1: we'll dive into with you. We've got Scott Jennings from

22
00:01:14,120 --> 00:01:16,679
Speaker 1: CNN second hour. We're gonna ask him what's it like

23
00:01:16,760 --> 00:01:19,080
Speaker 1: to go into the communist den I used to do it.

24
00:01:19,360 --> 00:01:21,280
Speaker 1: You know, a lot of what it's I do, I do.

25
00:01:21,400 --> 00:01:23,800
Speaker 1: It's not always fun, but he's been doing a good job.

26
00:01:23,840 --> 00:01:26,120
Speaker 1: And then our friends Carol Markwitz and Merrick Catherine Ham

27
00:01:26,160 --> 00:01:30,440
Speaker 1: third hour of the program, they're launching a new podcast

28
00:01:30,440 --> 00:01:33,759
Speaker 1: which is like two moms talking about stuff. Ye two

29
00:01:34,400 --> 00:01:37,360
Speaker 1: great conservative moms who are talking about the world and

30
00:01:37,400 --> 00:01:39,280
Speaker 1: politics and mom stuff. And I think you're really gonna

31
00:01:39,319 --> 00:01:41,560
Speaker 1: like it. So we will get to all of that.

32
00:01:42,240 --> 00:01:45,080
Speaker 1: A lot of Poland coming in. I know Clay is

33
00:01:45,800 --> 00:01:51,040
Speaker 1: excited to dive into those numbers. I would just say

34
00:01:51,920 --> 00:01:54,720
Speaker 1: the IRS union has apparently endorsed Kamala Harris.

35
00:01:54,760 --> 00:01:56,800
Speaker 2: Can you believe that the IRS has a union?

36
00:01:56,920 --> 00:02:01,520
Speaker 1: I mean, no public right, no public secont entity should

37
00:02:01,560 --> 00:02:04,080
Speaker 1: have a union. At the dawn of unions, you can

38
00:02:04,120 --> 00:02:05,960
Speaker 1: go back and look at this one hundred years ago,

39
00:02:06,000 --> 00:02:08,960
Speaker 1: the dawn of real union power in this country. I

40
00:02:08,960 --> 00:02:12,519
Speaker 1: think even FDR was like, we can't have public sector unions.

41
00:02:12,520 --> 00:02:14,680
Speaker 1: That would be crazy. Well, now a lot of unions

42
00:02:14,680 --> 00:02:17,880
Speaker 1: are public sector or public school teachers, et cetera, very

43
00:02:17,880 --> 00:02:20,959
Speaker 1: powerful unions. At that they endorse Kamala Harris, which is

44
00:02:21,040 --> 00:02:22,560
Speaker 1: kind of funny. I think she was like, I don't

45
00:02:22,600 --> 00:02:24,920
Speaker 1: know if I really need the irs to endorse me

46
00:02:25,040 --> 00:02:29,200
Speaker 1: right now, but we've got a lot of that. Also,

47
00:02:29,720 --> 00:02:32,520
Speaker 1: the Teamsters, one of the largest labor unions in the country,

48
00:02:32,639 --> 00:02:36,800
Speaker 1: had a poll come out that showed Donald Trump is

49
00:02:36,880 --> 00:02:40,520
Speaker 1: the choice of the Teamsters membership, not the leadership necessarily,

50
00:02:40,560 --> 00:02:43,080
Speaker 1: but the membership. So they have not endorsed Kamala Harris.

51
00:02:43,080 --> 00:02:46,440
Speaker 1: But Clay, let's hop right into this. A lot of

52
00:02:46,440 --> 00:02:48,440
Speaker 1: different ways to look at and parse the data. I mean,

53
00:02:48,480 --> 00:02:53,240
Speaker 1: I saw the CBS battleground poll came out yesterday. People

54
00:02:53,280 --> 00:02:55,239
Speaker 1: are looking at this one off the weekend. It has

55
00:02:55,480 --> 00:03:00,679
Speaker 1: Harris up pretty much in all of the critical battleground states.

56
00:03:01,160 --> 00:03:03,120
Speaker 1: So the left was getting all excited about this. But

57
00:03:03,800 --> 00:03:06,560
Speaker 1: the margin of era is four points, and in all

58
00:03:06,560 --> 00:03:11,280
Speaker 1: these polls she's up a point two points. I think, actually,

59
00:03:11,480 --> 00:03:13,400
Speaker 1: if you look at the data more closely, at Trump

60
00:03:13,639 --> 00:03:16,680
Speaker 1: is looking good, but it is very close.

61
00:03:17,080 --> 00:03:19,880
Speaker 2: So here is what came out this morning that I

62
00:03:19,919 --> 00:03:25,280
Speaker 2: think is significant. The New York Times had polls of Arizona, Georgia,

63
00:03:25,480 --> 00:03:29,200
Speaker 2: and North Carolina that they released, and we're now to

64
00:03:29,280 --> 00:03:33,440
Speaker 2: the time where I think you can start counting in

65
00:03:33,560 --> 00:03:37,600
Speaker 2: terms of where the numbers are and how they're likely

66
00:03:37,680 --> 00:03:41,000
Speaker 2: to break, And in particular, let me hit you with

67
00:03:41,080 --> 00:03:45,600
Speaker 2: these data points. Arizona, according to the New York Times,

68
00:03:45,720 --> 00:03:51,520
Speaker 2: Trump is up five, North Carolina Trump up two, Georgia

69
00:03:52,080 --> 00:03:56,640
Speaker 2: Trump up four. Okay, so why do those three matter?

70
00:03:57,240 --> 00:04:01,800
Speaker 2: If that is correct, If Arizona, Georgia, and North Carolina

71
00:04:01,920 --> 00:04:05,840
Speaker 2: are all going to go Trump, the only pathway that

72
00:04:05,920 --> 00:04:12,240
Speaker 2: Kamala Harris would have to winning this race is sweeping Pennsylvania, Michigan,

73
00:04:12,800 --> 00:04:16,080
Speaker 2: and Wisconsin. And here let me hit you with something

74
00:04:16,120 --> 00:04:19,880
Speaker 2: that matters. If that is correct. If Trump is going

75
00:04:19,920 --> 00:04:22,919
Speaker 2: to flip Arizona and Georgia back red and hold on

76
00:04:23,000 --> 00:04:29,000
Speaker 2: to North Carolina, this race could come down to Omaha, Nebraska.

77
00:04:29,279 --> 00:04:32,680
Speaker 2: And we were just talking about this off air before

78
00:04:32,720 --> 00:04:35,920
Speaker 2: we started the show today. There is a movement right

79
00:04:35,960 --> 00:04:40,080
Speaker 2: now in Nebraska to make the state winner take all.

80
00:04:40,920 --> 00:04:45,800
Speaker 2: If that were to occur, that would eliminate the pathway

81
00:04:46,279 --> 00:04:49,400
Speaker 2: of Kamala only having to win the big ten states

82
00:04:49,400 --> 00:04:53,880
Speaker 2: of Pennsylvania, Michigan and Wisconsin, and would actually mean that

83
00:04:53,920 --> 00:04:57,719
Speaker 2: she would need to win Nevada, Arizona, Georgia, or North

84
00:04:57,760 --> 00:05:01,560
Speaker 2: Carolina on top of those states. To me, if you

85
00:05:01,640 --> 00:05:05,719
Speaker 2: are listening to us in Nebraska right now, Democrats would

86
00:05:05,760 --> 00:05:09,120
Speaker 2: one hundred percent do this if they were in this

87
00:05:09,240 --> 00:05:13,880
Speaker 2: situation that that could be the difference Omaha, Nebraska, who

88
00:05:14,040 --> 00:05:17,839
Speaker 2: how they vote in that little one electoral vote market

89
00:05:18,279 --> 00:05:20,919
Speaker 2: between Kamala getting to two seventy or not.

90
00:05:21,560 --> 00:05:25,080
Speaker 1: Now, the best news and I got into this or

91
00:05:25,360 --> 00:05:27,240
Speaker 1: was setting this up a little bit play with those

92
00:05:27,279 --> 00:05:31,719
Speaker 1: CBS numbers, The best news is that they're trying to do.

93
00:05:31,800 --> 00:05:33,800
Speaker 1: They show right now a lot of polls show Kamala

94
00:05:33,880 --> 00:05:36,960
Speaker 1: ahead in some swing states. It's within the margin of

95
00:05:37,080 --> 00:05:40,200
Speaker 1: ara though, as I said, which is polster speak for like,

96
00:05:40,480 --> 00:05:42,440
Speaker 1: you know, we could be off on this one, and

97
00:05:42,720 --> 00:05:45,839
Speaker 1: if we are, we're not even gonna take any lumps

98
00:05:45,839 --> 00:05:47,479
Speaker 1: for it, because we're telling you that it's you know,

99
00:05:47,520 --> 00:05:50,320
Speaker 1: plus or minus four, which is a pretty big margin

100
00:05:50,360 --> 00:05:53,120
Speaker 1: and error. But anyway, especially when you're talking about a

101
00:05:53,120 --> 00:05:56,400
Speaker 1: fifty to fifty political electorate more or less, right, I

102
00:05:56,400 --> 00:05:58,960
Speaker 1: mean four point. If Trump were to win by a

103
00:05:59,040 --> 00:06:02,800
Speaker 1: solid four point for example, you're talking about annihilation in

104
00:06:02,839 --> 00:06:07,080
Speaker 1: the electoral college. So here's what I think is so critical.

105
00:06:07,360 --> 00:06:12,000
Speaker 1: CNN's own data guy talked about how if you look

106
00:06:12,040 --> 00:06:15,840
Speaker 1: at the numbers today and the polls, the same pollsters

107
00:06:15,960 --> 00:06:19,400
Speaker 1: are off by the same degree they were not in

108
00:06:19,480 --> 00:06:24,719
Speaker 1: twenty sixteen but in twenty twenty. Here this is cart two.

109
00:06:24,960 --> 00:06:27,520
Speaker 1: Here is what that would mean for Donald Trump.

110
00:06:27,640 --> 00:06:30,120
Speaker 3: Look at Donald Trump's electoral vote total right now, if

111
00:06:30,120 --> 00:06:32,320
Speaker 3: the polls are exactly right, two hundred and sixty two.

112
00:06:32,560 --> 00:06:34,839
Speaker 1: But let's say the polls are off.

113
00:06:34,880 --> 00:06:37,760
Speaker 3: Like they were back in twenty twenty, Look where he goes.

114
00:06:37,800 --> 00:06:41,000
Speaker 3: He goes to three hundred and twelve. Why is that

115
00:06:41,200 --> 00:06:44,640
Speaker 3: because the polls underestimated Donald Trump in twenty twenty. So

116
00:06:44,720 --> 00:06:47,280
Speaker 3: the bottom line is, instead of losing those great Lake

117
00:06:47,320 --> 00:06:48,600
Speaker 3: battleground states, he.

118
00:06:48,520 --> 00:06:49,200
Speaker 1: Wins all of them.

119
00:06:49,200 --> 00:06:51,880
Speaker 3: He obviously holds on to North Carolina, Georgia, and Arizona,

120
00:06:52,160 --> 00:06:55,680
Speaker 3: and he gains Nevada. So if the polls are as

121
00:06:55,680 --> 00:06:57,960
Speaker 3: good as they were in twenty twenty, despite the fact

122
00:06:57,960 --> 00:07:00,479
Speaker 3: that at this particular hour, Donald Trump trail and in

123
00:07:00,560 --> 00:07:03,000
Speaker 3: upstates to give Kamala Harris the victory, the polls were

124
00:07:03,000 --> 00:07:05,359
Speaker 3: off like they were in twenty twenty, Donald Trump would

125
00:07:05,360 --> 00:07:06,520
Speaker 3: actually win the election.

126
00:07:07,800 --> 00:07:12,160
Speaker 1: Three hundred and twelve electoral votes for Donald Trump. If

127
00:07:12,200 --> 00:07:16,280
Speaker 1: the polls that we're looking at today mirror the reality

128
00:07:16,480 --> 00:07:19,480
Speaker 1: of what the polls showed or the reality what the

129
00:07:19,520 --> 00:07:21,560
Speaker 1: votes were, I should say in twenty twenty.

130
00:07:21,600 --> 00:07:24,320
Speaker 2: So here's the problem that we have. As it comes

131
00:07:24,440 --> 00:07:27,400
Speaker 2: big picture, we should add one more. There is a

132
00:07:27,520 --> 00:07:33,120
Speaker 2: Minneapolis Star Tribune poll that shows Kamala only up five

133
00:07:33,440 --> 00:07:39,240
Speaker 2: in Minnesota. Biden won Minnesota by seven in twenty twenty,

134
00:07:39,720 --> 00:07:44,600
Speaker 2: So if Kamala only won Mini app Minnesota by five,

135
00:07:45,080 --> 00:07:47,520
Speaker 2: that would be a very bad sign for her, particularly

136
00:07:47,600 --> 00:07:50,360
Speaker 2: because she added Tim Walls as her VP and he's

137
00:07:50,400 --> 00:07:53,680
Speaker 2: the governor of Minnesota, which theoretically would help somewhat in

138
00:07:53,720 --> 00:07:58,000
Speaker 2: that state. But here is the real question, and this

139
00:07:58,160 --> 00:08:00,280
Speaker 2: is one that we're going to be asking as we

140
00:08:00,360 --> 00:08:03,400
Speaker 2: sit six weeks in a day from actual election day,

141
00:08:03,520 --> 00:08:06,120
Speaker 2: as many of you out there are now able to

142
00:08:06,200 --> 00:08:10,680
Speaker 2: go out and vote, as early voting becomes in earnest

143
00:08:11,040 --> 00:08:14,800
Speaker 2: more and more common across the country, what are the

144
00:08:14,840 --> 00:08:20,160
Speaker 2: polls accuracy? In twenty sixteen and twenty twenty, they massively

145
00:08:20,480 --> 00:08:24,800
Speaker 2: underappreciated the poll of Donald Trump they got it wrong

146
00:08:24,920 --> 00:08:29,160
Speaker 2: both in sixteen and in twenty but in twenty two

147
00:08:30,120 --> 00:08:32,959
Speaker 2: we did not get the red wave that the polls

148
00:08:33,000 --> 00:08:34,520
Speaker 2: showed we were going to get.

149
00:08:35,160 --> 00:08:39,360
Speaker 1: So essentially, in.

150
00:08:38,280 --> 00:08:41,720
Speaker 2: Most of the most recent elections, the polls have not

151
00:08:41,800 --> 00:08:46,199
Speaker 2: only been wrong on the on the side of Democrats

152
00:08:46,240 --> 00:08:49,880
Speaker 2: in the presidentcy presidency, but they were also wrong on

153
00:08:50,000 --> 00:08:53,000
Speaker 2: the size of Republicans in twenty two. So my point

154
00:08:53,040 --> 00:08:55,679
Speaker 2: on this is, don't rely on any polling.

155
00:08:56,280 --> 00:08:56,920
Speaker 1: Go vote.

156
00:08:57,040 --> 00:09:00,120
Speaker 2: The only thing you can control is whether you you

157
00:09:00,200 --> 00:09:03,760
Speaker 2: vote and your friends and family go vote. You should

158
00:09:03,800 --> 00:09:05,920
Speaker 2: make sure that you go vote. And Buck and I

159
00:09:05,960 --> 00:09:08,280
Speaker 2: are going to keep hammering this for all of you.

160
00:09:09,000 --> 00:09:11,680
Speaker 2: We're voting early. The first day that I can vote

161
00:09:11,720 --> 00:09:14,960
Speaker 2: is October sixteenth in my home state of Tennessee. I'm

162
00:09:15,000 --> 00:09:18,120
Speaker 2: showing up and voting. Buck's gonna vote early in Florida.

163
00:09:18,600 --> 00:09:21,480
Speaker 2: The data reflects I saw some early data coming out

164
00:09:21,520 --> 00:09:25,840
Speaker 2: of Virginia, Buck, that a lot of Republicans are starting

165
00:09:25,880 --> 00:09:28,800
Speaker 2: to vote early in the state of Virginia. And oh,

166
00:09:28,880 --> 00:09:31,120
Speaker 2: by the way, last week there was a poll suggesting

167
00:09:31,160 --> 00:09:34,120
Speaker 2: that Virginia is within a couple of points one way

168
00:09:34,240 --> 00:09:37,520
Speaker 2: or the other. That also not favorable to Kamala because

169
00:09:37,559 --> 00:09:41,040
Speaker 2: Biden won Virginia by ten in twenty twenty. If Kamala

170
00:09:41,080 --> 00:09:43,080
Speaker 2: is only up a couple of points in Virginia, that

171
00:09:43,160 --> 00:09:46,199
Speaker 2: speaks well for how this race may go. But again,

172
00:09:46,920 --> 00:09:49,959
Speaker 2: don't look at the polls. Don't worry about them. We're

173
00:09:50,000 --> 00:09:52,280
Speaker 2: going to tell you what they say because the data

174
00:09:52,400 --> 00:09:55,440
Speaker 2: is out there and it's part of the conversation. But

175
00:09:55,679 --> 00:09:59,600
Speaker 2: ultimately what a poll says shouldn't dictate whether you go.

176
00:09:59,679 --> 00:10:02,719
Speaker 2: Remember the worst poll that I saw out there of

177
00:10:02,760 --> 00:10:08,400
Speaker 2: a battleground state had Trump losing Wisconsin by seventeen points.

178
00:10:08,440 --> 00:10:10,400
Speaker 2: Do you remember that poll that came out right before

179
00:10:10,440 --> 00:10:13,920
Speaker 2: twenty twenty came down to twenty thousand votes? Did that

180
00:10:14,120 --> 00:10:17,120
Speaker 2: turn down some people who said, Oh, this thing's already decided,

181
00:10:17,480 --> 00:10:21,920
Speaker 2: nothing is decided. Make your voice heard. If you're not registered,

182
00:10:21,960 --> 00:10:25,160
Speaker 2: get registered. But get yourself, your friends, your family to

183
00:10:25,360 --> 00:10:25,960
Speaker 2: the polls.

184
00:10:26,280 --> 00:10:28,800
Speaker 1: It's going to be tight. I think that's what everything shows.

185
00:10:28,840 --> 00:10:31,560
Speaker 1: And I also just want to throw in there, and

186
00:10:31,640 --> 00:10:33,160
Speaker 1: he'll be with us later in the week to look

187
00:10:33,160 --> 00:10:36,520
Speaker 1: at some of the numbers. Our buddy Ryan Gradusky, he

188
00:10:37,520 --> 00:10:40,680
Speaker 1: was on He's been on CNN as well recently, and

189
00:10:40,880 --> 00:10:43,160
Speaker 1: we'll talk to him about the latest numbers. I think

190
00:10:43,160 --> 00:10:45,199
Speaker 1: he'll be with us Wednesday or Thursday of this week.

191
00:10:45,760 --> 00:10:48,280
Speaker 1: But we've got another CNN guy second hour. Anyway, the

192
00:10:48,280 --> 00:10:52,560
Speaker 1: point is why am I so confident? Guys, reality here

193
00:10:52,600 --> 00:10:55,240
Speaker 1: is that Kamala Harris is a horrible candidate. It's not

194
00:10:55,720 --> 00:11:01,800
Speaker 1: Joe Biden was not a horrible candidate for and I

195
00:11:01,880 --> 00:11:04,680
Speaker 1: know that that sounds you know, oh, but no, no, no, no,

196
00:11:05,200 --> 00:11:08,360
Speaker 1: because yes, he had a decline. His decline has gotten

197
00:11:08,400 --> 00:11:10,240
Speaker 1: a lot worse for the last four years. But he

198
00:11:10,400 --> 00:11:13,600
Speaker 1: was in decline. But because of COVID, he was able

199
00:11:13,600 --> 00:11:16,439
Speaker 1: to hide, and because of COVID, a lot of people

200
00:11:16,480 --> 00:11:20,079
Speaker 1: wanted a grandfatherly figure who promised calm. It was all

201
00:11:20,080 --> 00:11:23,880
Speaker 1: a lie, we know that. But Biden made sense for

202
00:11:24,000 --> 00:11:27,439
Speaker 1: the Democrats. That's why Jim Clyburn in South Carolina and

203
00:11:27,480 --> 00:11:30,480
Speaker 1: the huge switch and no more big left wing you

204
00:11:30,520 --> 00:11:35,880
Speaker 1: know push from the Democrat primary. But Kamala Harris is

205
00:11:35,920 --> 00:11:39,400
Speaker 1: a terrible, terrible option. Okay, this is the truth, and

206
00:11:39,559 --> 00:11:42,800
Speaker 1: the numbers actually show that. Here's Ryan. This is from

207
00:11:43,080 --> 00:11:44,760
Speaker 1: about a little over a week ago, but he's talking

208
00:11:44,760 --> 00:11:47,760
Speaker 1: about the Kamala campaign and how it's down this cup

209
00:11:47,800 --> 00:11:48,480
Speaker 1: three play it.

210
00:11:48,600 --> 00:11:51,559
Speaker 4: She is the worst polling democrat against Donald Trump in

211
00:11:51,679 --> 00:11:54,160
Speaker 4: history on national polls. No one is performing worse than

212
00:11:54,200 --> 00:11:57,240
Speaker 4: our No one's froming wors among Blacks among his banks,

213
00:11:57,280 --> 00:12:00,000
Speaker 4: the worst warning democrat in modern history among the demographics,

214
00:12:00,240 --> 00:12:03,320
Speaker 4: or is performing polling wise among Jews. She is losing

215
00:12:03,480 --> 00:12:07,439
Speaker 4: key factions of the Democratic based Muslim voters. She's under

216
00:12:07,640 --> 00:12:11,199
Speaker 4: a fifty two and the latest CARE poll among Black Muslims,

217
00:12:11,400 --> 00:12:12,880
Speaker 4: she is not doing well.

218
00:12:13,960 --> 00:12:18,200
Speaker 1: I mean, that's a stunning statistic. That's CARE the Council

219
00:12:18,280 --> 00:12:20,760
Speaker 1: on Arab Islamic Relations, which sort of does like Muslim

220
00:12:20,800 --> 00:12:24,480
Speaker 1: anyway Muslim relations stuff at US Middle East. But Clay,

221
00:12:24,640 --> 00:12:25,880
Speaker 1: So it's not what I'm saying is it's not like

222
00:12:25,920 --> 00:12:29,400
Speaker 1: a Fox News poll. Kamala Harris is polling below fifty

223
00:12:29,440 --> 00:12:32,520
Speaker 1: percent with Black Muslims in America right now. I mean,

224
00:12:33,120 --> 00:12:36,319
Speaker 1: the numbers that she has with Jewish Americans in New

225
00:12:36,400 --> 00:12:39,360
Speaker 1: York are terrible. And the numbers that she's getting right

226
00:12:39,400 --> 00:12:42,560
Speaker 1: now for young people, particularly young people that you know

227
00:12:42,679 --> 00:12:44,160
Speaker 1: she's gonna have to count on in some of these

228
00:12:44,240 --> 00:12:47,520
Speaker 1: key states, not good. A little bit of a detail,

229
00:12:47,520 --> 00:12:49,400
Speaker 1: we come back, I'll hit you with this, but I

230
00:12:49,480 --> 00:12:52,880
Speaker 1: know this area a little bit because my father in

231
00:12:52,960 --> 00:12:55,800
Speaker 1: law used to have a business there. Ham Trammick, Michigan

232
00:12:55,880 --> 00:13:00,120
Speaker 1: is one of the largest Muslim dominated communities in the country.

233
00:13:00,640 --> 00:13:03,240
Speaker 1: The mayor of ham Trammick, who has like a seventy

234
00:13:03,280 --> 00:13:06,440
Speaker 1: percent approval rating in that small area of the Detroit,

235
00:13:07,559 --> 00:13:12,640
Speaker 1: Michigan larger metropolitan area, just endorse Trump. So we have

236
00:13:12,760 --> 00:13:16,200
Speaker 1: talked a lot about Trump's appeal with Jewish voters as

237
00:13:16,280 --> 00:13:19,600
Speaker 1: all of the mess continues in Israel. But also I

238
00:13:19,600 --> 00:13:23,199
Speaker 1: think Kamala Harris doesn't really connect with a lot of

239
00:13:23,840 --> 00:13:27,360
Speaker 1: Arab voters, a lot of Muslim voters as well. I

240
00:13:27,480 --> 00:13:31,400
Speaker 1: just think there's a lot of sort of eruptions in

241
00:13:31,440 --> 00:13:35,280
Speaker 1: the dam that are starting to become a parent to Democrats,

242
00:13:35,320 --> 00:13:38,040
Speaker 1: and they're trying to sort of cartoon style cover up

243
00:13:38,120 --> 00:13:42,360
Speaker 1: all of these major leaks, and it's getting bad. I

244
00:13:42,360 --> 00:13:44,280
Speaker 1: think over the next six weeks you're going to start

245
00:13:44,280 --> 00:13:45,719
Speaker 1: to see more of a panic setting. I don't know

246
00:13:45,720 --> 00:13:47,880
Speaker 1: if you saw this. Even Peggy Noonan in the Wall

247
00:13:47,920 --> 00:13:50,240
Speaker 1: Street Journal, who is I read that column not a

248
00:13:50,280 --> 00:13:54,040
Speaker 1: Trump fan, not a Trump fan, but she's like, this

249
00:13:54,200 --> 00:13:57,439
Speaker 1: Kamala game is all about just trying to run out

250
00:13:57,440 --> 00:14:00,440
Speaker 1: the clock. I mean, can you imagine run out clock

251
00:14:00,480 --> 00:14:02,840
Speaker 1: so people don't know who you are before they vote.

252
00:14:02,880 --> 00:14:05,679
Speaker 1: That's exactly she sees that. Everyone See what I mean

253
00:14:05,720 --> 00:14:08,560
Speaker 1: by bringing in, by bringing in Beggy Noonon is you

254
00:14:08,559 --> 00:14:10,080
Speaker 1: don't have to be a Trump voter to think they're

255
00:14:10,120 --> 00:14:12,760
Speaker 1: running out the clock. Everybody knows that she's running out

256
00:14:12,800 --> 00:14:15,000
Speaker 1: the clock. It's it's stunning. I've never seen anything like

257
00:14:15,040 --> 00:14:17,200
Speaker 1: I don't think anyone's seen anything like this in modern

258
00:14:17,240 --> 00:14:19,680
Speaker 1: American politics. We'll get more into this. I'll stick some

259
00:14:19,720 --> 00:14:21,760
Speaker 1: of your calls eight hundred two A two two eight

260
00:14:21,760 --> 00:14:24,440
Speaker 1: A two playing out here in South Florida. Light us up,

261
00:14:24,560 --> 00:14:27,440
Speaker 1: We'll talk to you, give you all the latest insights,

262
00:14:27,520 --> 00:14:29,280
Speaker 1: even talk to you about state class not if you want.

263
00:14:29,680 --> 00:14:31,840
Speaker 1: We've had some questions coming our way on the name

264
00:14:32,000 --> 00:14:35,760
Speaker 1: of the company making the modern day walkie talkies. Rapid

265
00:14:35,880 --> 00:14:38,160
Speaker 1: Radios is their name. Just as a reminder, we put

266
00:14:38,160 --> 00:14:41,560
Speaker 1: them put their name and link to Rapid Radio's website

267
00:14:41,600 --> 00:14:45,360
Speaker 1: on our website, Clayandbuck dot com to make it easy

268
00:14:45,360 --> 00:14:48,360
Speaker 1: to learn more about them. Rapid Radios are walkie talkies

269
00:14:48,400 --> 00:14:50,600
Speaker 1: that have a cell phone connection, but are easier and

270
00:14:50,680 --> 00:14:53,000
Speaker 1: quicker to operate than a cell phone. You can make

271
00:14:53,000 --> 00:14:55,280
Speaker 1: a direct connection between yourself and the person you're staying

272
00:14:55,280 --> 00:14:58,200
Speaker 1: in touch with when you both have rapid radios. These

273
00:14:58,200 --> 00:15:00,760
Speaker 1: are push to talk devices, got a one button function

274
00:15:00,760 --> 00:15:03,239
Speaker 1: that allows you to communicate with your family, friends, cohorts

275
00:15:03,400 --> 00:15:05,560
Speaker 1: wherever they are. You could be hundreds of miles away,

276
00:15:05,560 --> 00:15:08,400
Speaker 1: if not more. Rapid radios are perfect in an emergency.

277
00:15:08,400 --> 00:15:11,000
Speaker 1: They hold the charge for a long time, long lasting

278
00:15:11,040 --> 00:15:13,760
Speaker 1: batteries as long as five days, and there's no subscription

279
00:15:13,840 --> 00:15:17,840
Speaker 1: a monthly fee. Ever plus, rapid radios made in America.

280
00:15:18,160 --> 00:15:20,320
Speaker 1: For a limited time, go to rapid radios dot com

281
00:15:20,320 --> 00:15:23,200
Speaker 1: get up to sixty percent off. There's free ups shipping

282
00:15:23,240 --> 00:15:26,840
Speaker 1: and a free protection bag. Use code Radio and get

283
00:15:26,840 --> 00:15:30,680
Speaker 1: an extra five percent off again rapid radios dot com.

284
00:15:30,760 --> 00:15:35,240
Speaker 1: You ain't imagining it. The world has gone insane. We

285
00:15:35,480 --> 00:15:38,000
Speaker 1: claim your sanity with Clay and Fun.

286
00:15:38,440 --> 00:15:41,760
Speaker 5: Find them on the free iHeartRadio app or wherever you

287
00:15:41,880 --> 00:15:42,960
Speaker 5: get your podcasts.

288
00:15:43,000 --> 00:15:46,320
Speaker 2: Welcome back in Clay, Travis buck Sexton show up in

289
00:15:46,440 --> 00:15:48,840
Speaker 2: the New York City Studio.

290
00:15:49,040 --> 00:15:52,960
Speaker 1: Is Louisville alum.

291
00:15:52,080 --> 00:15:56,720
Speaker 2: Scott Jennings who is doing fantastic work on CNN and

292
00:15:57,360 --> 00:16:01,080
Speaker 2: I understand as we get started, you have a college

293
00:16:01,080 --> 00:16:03,840
Speaker 2: football take for me, Scott, So I'll let you begin

294
00:16:04,040 --> 00:16:05,960
Speaker 2: with this important pronouncement.

295
00:16:06,080 --> 00:16:08,600
Speaker 6: Yeah, we're going to Notre Dame this weekend and we're

296
00:16:08,600 --> 00:16:11,200
Speaker 6: gonna win. The Louisville Cardinals are going to beat Notre Dame.

297
00:16:11,360 --> 00:16:12,680
Speaker 6: Mark it down, bet it.

298
00:16:13,000 --> 00:16:16,520
Speaker 2: These guys, you guys with Jeff Brohm, have been a

299
00:16:16,600 --> 00:16:19,040
Speaker 2: revelation in terms of how quickly he's brought you back

300
00:16:19,080 --> 00:16:21,800
Speaker 2: into the Promised Land. You're a top fifteen caliber team

301
00:16:21,840 --> 00:16:24,160
Speaker 2: for people out there who are not big college football fans.

302
00:16:24,200 --> 00:16:27,160
Speaker 2: I appreciate the prediction, Scott. I will be down at

303
00:16:27,160 --> 00:16:30,600
Speaker 2: the Georgia Alabama game. Donald Trump also going to be there.

304
00:16:30,920 --> 00:16:34,160
Speaker 2: Let's start with this question. Because you're a college football fan,

305
00:16:34,200 --> 00:16:35,560
Speaker 2: this buck is kind of.

306
00:16:36,960 --> 00:16:37,400
Speaker 1: I think.

307
00:16:37,720 --> 00:16:40,480
Speaker 2: Come to realize that I trust college football fans no

308
00:16:40,560 --> 00:16:42,760
Speaker 2: matter who you root for. I just think you're normal,

309
00:16:43,160 --> 00:16:50,920
Speaker 2: everyday Americans. I think that the idea that Michigan, penn State, Wisconsin,

310
00:16:51,120 --> 00:16:55,840
Speaker 2: Michigan State, all of these different fan bases in Pennsylvania, Michigan,

311
00:16:55,840 --> 00:16:59,560
Speaker 2: and Wisconsin are gonna in some way put Kamala Harris

312
00:16:59,600 --> 00:17:02,600
Speaker 2: into the White House is just fundamentally wrong. I think

313
00:17:02,640 --> 00:17:07,600
Speaker 2: she doesn't connect with the average Midwestern voter. You're in Kentucky,

314
00:17:07,640 --> 00:17:10,480
Speaker 2: a little bit south of the primary Midwest, But do

315
00:17:10,520 --> 00:17:11,639
Speaker 2: you get that sense as well?

316
00:17:12,000 --> 00:17:14,760
Speaker 6: Yeah, I get the sense that the Democratic Party over

317
00:17:14,760 --> 00:17:18,440
Speaker 6: the last several years and including right now, has completely

318
00:17:18,520 --> 00:17:21,080
Speaker 6: lost touch with the average middle American voter. I mean

319
00:17:21,119 --> 00:17:24,760
Speaker 6: it's an urban party, it's a party of college campuses.

320
00:17:24,800 --> 00:17:28,119
Speaker 6: And I don't necessarily even mean you know, the students,

321
00:17:28,160 --> 00:17:30,600
Speaker 6: I mean the professors. I mean that that's who they are,

322
00:17:30,640 --> 00:17:33,720
Speaker 6: That's who they cater to. And the average college football

323
00:17:33,760 --> 00:17:35,480
Speaker 6: fan in those states. I mean, when Donald Trump walks

324
00:17:35,520 --> 00:17:36,880
Speaker 6: into that stadium, what are you gonna hear?

325
00:17:37,119 --> 00:17:37,680
Speaker 1: What are you gonna be?

326
00:17:39,160 --> 00:17:42,159
Speaker 6: And so you'll know what the score is when he

327
00:17:42,200 --> 00:17:45,119
Speaker 6: walks out there among that particular fan base.

328
00:17:45,160 --> 00:17:45,960
Speaker 1: And so yeah, I'm with you.

329
00:17:45,960 --> 00:17:48,080
Speaker 6: I think the Democrats have a huge problem in middle

330
00:17:48,119 --> 00:17:51,120
Speaker 6: America and rural America. And you know you were playing

331
00:17:51,160 --> 00:17:53,359
Speaker 6: the white guys for Harris thing earlier. I mean, they

332
00:17:53,440 --> 00:17:55,640
Speaker 6: have no idea how to communicate and get it back,

333
00:17:55,680 --> 00:17:56,360
Speaker 6: none whatsoever.

334
00:17:57,040 --> 00:18:01,600
Speaker 1: So Scott, you know, I am a CNN Concernervative alumni

335
00:18:01,880 --> 00:18:04,600
Speaker 1: from years years past, and I just want to say,

336
00:18:04,600 --> 00:18:06,760
Speaker 1: I think you're doing You're doing great work over there.

337
00:18:07,119 --> 00:18:11,399
Speaker 1: For a while early in the Trump years, they basically

338
00:18:11,440 --> 00:18:14,000
Speaker 1: weren't allowing conservatives on. I mean, I just never saw any.

339
00:18:14,040 --> 00:18:15,960
Speaker 1: I don't know. Maybe maybe they were allowing a few

340
00:18:15,920 --> 00:18:18,040
Speaker 1: want here and there. But you're doing a good job

341
00:18:18,400 --> 00:18:22,160
Speaker 1: representing truth, sanity, the American way, all that over there.

342
00:18:22,200 --> 00:18:23,639
Speaker 1: We play your clips on the air. We played some

343
00:18:23,840 --> 00:18:26,680
Speaker 1: just before what's the I'll tell you this, I'll get

344
00:18:26,880 --> 00:18:29,280
Speaker 1: give you a little anecdom. When I was there for

345
00:18:29,320 --> 00:18:34,600
Speaker 1: the Democrat primary, they were all pro not all, but

346
00:18:34,840 --> 00:18:39,199
Speaker 1: the the in the breaks conversation was Bernie Sanders is

347
00:18:39,200 --> 00:18:42,320
Speaker 1: the real deal? Hillary is a big donor phony. A

348
00:18:42,320 --> 00:18:44,639
Speaker 1: lot of the commentators would say that off air. The

349
00:18:44,680 --> 00:18:47,400
Speaker 1: cameras would go on and they were, oh, Hillary Clinton

350
00:18:47,440 --> 00:18:49,560
Speaker 1: is the best candidate, you know, because that's just what

351
00:18:49,600 --> 00:18:51,560
Speaker 1: they thought they were supposed to say because Zucker was

352
00:18:51,560 --> 00:18:54,879
Speaker 1: in charge. What is the I mean, as as the

353
00:18:54,920 --> 00:18:59,600
Speaker 1: kids say these days, the vibe of the Democrat commentators

354
00:18:59,640 --> 00:19:02,879
Speaker 1: when it came to this Kamala campaign. Are they panicking

355
00:19:02,960 --> 00:19:05,920
Speaker 1: in the green room and telling you everyone that it's

356
00:19:05,960 --> 00:19:08,280
Speaker 1: just fine on the air? What take us behind the

357
00:19:08,280 --> 00:19:09,040
Speaker 1: curtain a little bit?

358
00:19:09,160 --> 00:19:11,080
Speaker 6: Yeah, Well, first of all, I just want to credit

359
00:19:11,080 --> 00:19:14,400
Speaker 6: my employer, CNN for allowing these debates to occur. I'm

360
00:19:14,440 --> 00:19:16,600
Speaker 6: in New York every Monday and Tuesday night. We're having

361
00:19:16,640 --> 00:19:18,679
Speaker 6: this ten o'clock show. Abby Phillip is the host. Some

362
00:19:18,720 --> 00:19:20,560
Speaker 6: of the clips you play come right out of that show.

363
00:19:20,600 --> 00:19:22,840
Speaker 6: I mean, we're having actual debates. So if you want

364
00:19:22,880 --> 00:19:26,240
Speaker 6: to hear conservatives and liberals go at it, CNN's allowing

365
00:19:26,240 --> 00:19:29,040
Speaker 6: it to unfold. I think on the Democratic side, it

366
00:19:29,040 --> 00:19:31,000
Speaker 6: depends on who you talk to. I mean, the person

367
00:19:31,000 --> 00:19:33,320
Speaker 6: I probably spend the most time with is David Axelrod,

368
00:19:33,359 --> 00:19:36,600
Speaker 6: former Obama advisor, And you know, he's been pretty clear

369
00:19:36,640 --> 00:19:39,200
Speaker 6: on the air and off the air that he thinks

370
00:19:39,200 --> 00:19:42,680
Speaker 6: this election could go either way, that there's a world

371
00:19:42,680 --> 00:19:45,040
Speaker 6: where Trump wins, there's a world where Harris wins. He's

372
00:19:45,280 --> 00:19:49,359
Speaker 6: been preaching to the Democrats not to be irrational exuberance.

373
00:19:49,440 --> 00:19:51,280
Speaker 6: Of course, he was ahead of the curve on Biden too.

374
00:19:51,320 --> 00:19:53,359
Speaker 6: He was one of the lone voices out there a

375
00:19:53,440 --> 00:19:55,840
Speaker 6: warning about Biden before the rest of the Democrats caught

376
00:19:55,920 --> 00:19:58,240
Speaker 6: up to him. So I think there's a healthy mixture

377
00:19:58,240 --> 00:19:58,679
Speaker 6: of people.

378
00:19:58,720 --> 00:20:01,600
Speaker 1: Let me follow this up with this, Scott, is it

379
00:20:01,640 --> 00:20:03,480
Speaker 1: and I would just tell you about the U CNN.

380
00:20:03,640 --> 00:20:06,600
Speaker 1: I mean a lot of people that I know, you know,

381
00:20:06,720 --> 00:20:08,760
Speaker 1: Kaylee Mcanenny was there, Ben Ferguson was. I mean, there

382
00:20:08,840 --> 00:20:10,760
Speaker 1: used to be a lot of conservatives then early in

383
00:20:10,760 --> 00:20:12,639
Speaker 1: the Trump years there was kind of a house cleaning

384
00:20:12,680 --> 00:20:15,120
Speaker 1: of conservatives over there. I'm glad to see that under

385
00:20:15,200 --> 00:20:18,120
Speaker 1: new leadership, they are allowing debates to happen. So yeah,

386
00:20:18,160 --> 00:20:20,240
Speaker 1: that's why we play those debates on the air. But

387
00:20:20,359 --> 00:20:22,960
Speaker 1: what I really want to know is are any of

388
00:20:23,000 --> 00:20:28,200
Speaker 1: the Democrats you come across truly excited about a Kamala

389
00:20:28,240 --> 00:20:30,240
Speaker 1: campaign over there? And I mean you don't have the

390
00:20:30,359 --> 00:20:33,080
Speaker 1: name names, but I'm talking about the off camera utterances.

391
00:20:33,160 --> 00:20:35,320
Speaker 1: I'm talking about. You know, what do they really think

392
00:20:35,359 --> 00:20:36,959
Speaker 1: about how this is unfolding? Oh?

393
00:20:37,000 --> 00:20:40,680
Speaker 6: I think a couple are excited about it without naming names,

394
00:20:40,720 --> 00:20:43,400
Speaker 6: and but I think it may be, you know, for

395
00:20:43,560 --> 00:20:45,159
Speaker 6: one reason or the other. I think a few are

396
00:20:45,200 --> 00:20:47,640
Speaker 6: still pretty nervous about it. Of course, most of them

397
00:20:47,720 --> 00:20:49,800
Speaker 6: would tell you they're just excited that Biden is not

398
00:20:49,840 --> 00:20:52,240
Speaker 6: the nominee. I mean, I think everybody had realized by

399
00:20:52,280 --> 00:20:54,640
Speaker 6: the summer this dude was cooked, right. I mean, there

400
00:20:54,640 --> 00:20:56,560
Speaker 6: was no possible way he was going to win. They

401
00:20:56,560 --> 00:20:59,360
Speaker 6: were headed for a landslide defeat. I think everybody had

402
00:21:00,080 --> 00:21:02,800
Speaker 6: internalize that, and so you give them any other candidate

403
00:21:02,800 --> 00:21:04,760
Speaker 6: and they're going to be happy about this. But you know,

404
00:21:04,800 --> 00:21:08,199
Speaker 6: it's interesting. There's a there's a wide spectrum of thoughts

405
00:21:08,200 --> 00:21:10,280
Speaker 6: on her over there. My views are, there's more to

406
00:21:10,320 --> 00:21:12,600
Speaker 6: be There's more to being president than just not being

407
00:21:12,600 --> 00:21:15,639
Speaker 6: Donald Trump. That's her entire campaign. I'm not Trump. Therefore

408
00:21:15,640 --> 00:21:16,720
Speaker 6: you have to vote for me, and I don't have

409
00:21:16,720 --> 00:21:18,680
Speaker 6: to answer any of your questions. I'm sort of insulted

410
00:21:18,680 --> 00:21:21,159
Speaker 6: by it, and that's going to be where my position is.

411
00:21:21,160 --> 00:21:24,200
Speaker 2: This week, we're talking to Scott Jennings on CNN. You

412
00:21:24,240 --> 00:21:28,280
Speaker 2: can watch him there. Art, what do you attribute the

413
00:21:28,560 --> 00:21:32,360
Speaker 2: willingness to suddenly allow debates to take place again? Because

414
00:21:32,720 --> 00:21:35,119
Speaker 2: what I've seen you do, what I've seen Ryan Gardusky

415
00:21:35,200 --> 00:21:37,960
Speaker 2: start to do, is actually push back on narratives. We

416
00:21:38,040 --> 00:21:40,720
Speaker 2: played the clip, the blood bath clip. There's a lot

417
00:21:40,720 --> 00:21:43,440
Speaker 2: of things that have become democrat or orthodoxy that don't

418
00:21:43,480 --> 00:21:45,760
Speaker 2: get challenged on the air. I think what you do

419
00:21:45,880 --> 00:21:48,760
Speaker 2: is very important because it forces people to recognize what

420
00:21:48,800 --> 00:21:51,960
Speaker 2: the actual truth sometimes is. You can agree or disagree

421
00:21:52,000 --> 00:21:54,399
Speaker 2: on what the tax code should be, as we often

422
00:21:54,440 --> 00:21:57,639
Speaker 2: say on on this show. But when it comes to

423
00:21:57,720 --> 00:22:00,439
Speaker 2: whether the very Fine People hoax occurred, when it comes

424
00:22:00,480 --> 00:22:02,520
Speaker 2: to the idea of Trump saying there's going to be

425
00:22:02,560 --> 00:22:05,080
Speaker 2: a bloodbath, a lot of those things are Democrat party,

426
00:22:05,119 --> 00:22:08,400
Speaker 2: are orthodoxy, and are not supported. When did you start

427
00:22:08,440 --> 00:22:12,080
Speaker 2: to recognize CNN was maybe more interested in having legitimate

428
00:22:12,119 --> 00:22:14,639
Speaker 2: debates as opposed to just having one side of the

429
00:22:14,680 --> 00:22:15,520
Speaker 2: equation covered.

430
00:22:15,720 --> 00:22:18,000
Speaker 6: Well, I've been on the network for a few years now,

431
00:22:18,240 --> 00:22:20,879
Speaker 6: and you know, I've been thrown in there over a

432
00:22:20,880 --> 00:22:23,200
Speaker 6: lot of different iterations of a lot of different shows,

433
00:22:23,720 --> 00:22:26,320
Speaker 6: and so I always feel like I'm pretty supported. I

434
00:22:26,320 --> 00:22:28,359
Speaker 6: think as the election got closer, and you know, you

435
00:22:28,359 --> 00:22:30,639
Speaker 6: go back to the twenty twenty election, it was weird.

436
00:22:30,680 --> 00:22:32,800
Speaker 6: We were all in our boxes. There was no debates

437
00:22:32,840 --> 00:22:35,480
Speaker 6: that we were traveling to, and nobody's going to the conventions.

438
00:22:35,840 --> 00:22:38,760
Speaker 6: This cycle's been more normal. We've been out there. CNN.

439
00:22:38,760 --> 00:22:40,320
Speaker 6: I think had a great debate in June, we had

440
00:22:40,320 --> 00:22:43,119
Speaker 6: good convention coverage, and I think as we've gone on

441
00:22:43,240 --> 00:22:45,040
Speaker 6: in the cycle, and now with this new ten o'clock

442
00:22:45,040 --> 00:22:48,879
Speaker 6: show that Abby is hosting, there's obviously a willingness for

443
00:22:49,000 --> 00:22:52,159
Speaker 6: both sides to get a chance to make the case.

444
00:22:52,440 --> 00:22:55,280
Speaker 6: And I feel very good about what we're doing. I

445
00:22:55,400 --> 00:22:57,600
Speaker 6: heard you say earlier. You know MSNBC, you're not going

446
00:22:57,640 --> 00:22:59,640
Speaker 6: to catch any of that over there, correct and so

447
00:23:00,000 --> 00:23:02,440
Speaker 6: and so. I run into people in airports and out

448
00:23:02,440 --> 00:23:04,480
Speaker 6: in the world all the time who tell me things

449
00:23:04,560 --> 00:23:06,679
Speaker 6: like I don't agree with you, but I'm glad that

450
00:23:06,720 --> 00:23:08,320
Speaker 6: you're on there, because I do want to hear what

451
00:23:08,720 --> 00:23:11,480
Speaker 6: both sides are saying and what the views on the

452
00:23:11,600 --> 00:23:14,600
Speaker 6: issues are. I think there's a hunger for actual debate,

453
00:23:14,920 --> 00:23:17,880
Speaker 6: not people to get steamrolled and not people to beat tokens,

454
00:23:17,920 --> 00:23:19,720
Speaker 6: and not people to be like, oh, I'm a Republican,

455
00:23:19,760 --> 00:23:22,280
Speaker 6: but I've never voted Republican. I think there's an actual

456
00:23:22,359 --> 00:23:25,320
Speaker 6: hunger for real political debate in this country. And you

457
00:23:25,359 --> 00:23:27,600
Speaker 6: mentioned Ryan. He's doing a great job. But that's what

458
00:23:27,600 --> 00:23:29,760
Speaker 6: I'm committed to doing, having a real debate, and I

459
00:23:29,800 --> 00:23:30,560
Speaker 6: think people want.

460
00:23:30,400 --> 00:23:30,840
Speaker 1: To watch it.

461
00:23:30,880 --> 00:23:32,800
Speaker 6: And I think this ten o'clock show, for instance, that

462
00:23:32,840 --> 00:23:34,520
Speaker 6: the ratings bear it out. People do want to watch

463
00:23:34,520 --> 00:23:36,840
Speaker 6: an actual debate. Somebody's willing to stand up for their

464
00:23:36,880 --> 00:23:37,439
Speaker 6: own views.

465
00:23:38,000 --> 00:23:41,280
Speaker 1: This used to be, this was CNN pre Trump, which

466
00:23:41,320 --> 00:23:44,159
Speaker 1: is when I started working there, Scott, they would have

467
00:23:44,280 --> 00:23:49,160
Speaker 1: on real Republicans, real conservatives to make the case there

468
00:23:49,160 --> 00:23:51,480
Speaker 1: was a change in leadership. There was some Trump's arrangement syndrome,

469
00:23:51,480 --> 00:23:53,680
Speaker 1: and now I think they're getting back to that, which

470
00:23:53,720 --> 00:23:56,040
Speaker 1: makes sense. As a not you're talking about what the

471
00:23:56,040 --> 00:23:57,959
Speaker 1: American people want. I agree with it. I think there

472
00:23:58,000 --> 00:24:00,360
Speaker 1: should be more a real exchange of ideas. But also

473
00:24:00,440 --> 00:24:02,959
Speaker 1: as a business model, you know, they can be a

474
00:24:02,960 --> 00:24:06,320
Speaker 1: news network that actually has on both sides and that

475
00:24:06,359 --> 00:24:08,920
Speaker 1: then becomes their identity in a sense, and I think

476
00:24:08,920 --> 00:24:11,560
Speaker 1: it used to be much more centennd identity. So I

477
00:24:11,640 --> 00:24:15,240
Speaker 1: like that. But back to this campaign and how you

478
00:24:15,280 --> 00:24:18,280
Speaker 1: think it's going at this point. Is there anything that

479
00:24:18,320 --> 00:24:21,840
Speaker 1: you think the Trump campaign should either have additional focus

480
00:24:21,920 --> 00:24:24,920
Speaker 1: on or if you were to give a constructive critique

481
00:24:24,920 --> 00:24:27,680
Speaker 1: in some way. I mean, I'm just wondering what your

482
00:24:27,800 --> 00:24:30,840
Speaker 1: focus is for Trump and the campaign between now an

483
00:24:30,840 --> 00:24:32,120
Speaker 1: election day to get it done.

484
00:24:32,280 --> 00:24:34,800
Speaker 6: I think the entire campaign for Trump comes down to

485
00:24:34,840 --> 00:24:37,880
Speaker 6: these low and no propensity voters think I heard why

486
00:24:37,920 --> 00:24:38,680
Speaker 6: you say it earlier.

487
00:24:38,920 --> 00:24:39,239
Speaker 1: That's it.

488
00:24:39,280 --> 00:24:42,080
Speaker 6: That's the whole campaign. His base is immovable, They're not

489
00:24:42,119 --> 00:24:42,800
Speaker 6: going to change.

490
00:24:42,800 --> 00:24:43,440
Speaker 1: They're with him.

491
00:24:43,600 --> 00:24:45,960
Speaker 6: You know, the people who vote in a lot of elections,

492
00:24:46,000 --> 00:24:49,600
Speaker 6: but this low propensity and no propensity voting block, and

493
00:24:49,640 --> 00:24:51,160
Speaker 6: they're doing it. They're courting them.

494
00:24:51,200 --> 00:24:51,359
Speaker 7: You know.

495
00:24:51,400 --> 00:24:55,160
Speaker 6: Trump shows up at places that sometimes presidential candidates don't

496
00:24:55,200 --> 00:24:58,240
Speaker 6: always show up. That's the ballgame for him. You turn

497
00:24:58,280 --> 00:25:01,720
Speaker 6: out the low and no propensity voters, these young men,

498
00:25:02,119 --> 00:25:05,240
Speaker 6: for instance, You're gonna win the election. That's the whole games.

499
00:25:05,280 --> 00:25:07,240
Speaker 6: If I were in their shoes, I wouldn't be worried

500
00:25:07,240 --> 00:25:09,680
Speaker 6: so much about reeling in some of these people who've

501
00:25:09,720 --> 00:25:12,359
Speaker 6: never voted for you in three elections what have I

502
00:25:12,400 --> 00:25:16,199
Speaker 6: would be fully focused on a turnout operation. Low no

503
00:25:16,320 --> 00:25:20,320
Speaker 6: propensity voters. They inherently do not love the government. They

504
00:25:20,320 --> 00:25:23,200
Speaker 6: don't believe what they're hearing from the government and institutions.

505
00:25:23,440 --> 00:25:26,680
Speaker 6: In some ways, they've been crushed under the Biden Harris economy,

506
00:25:26,920 --> 00:25:29,240
Speaker 6: and they know who is crushing them, and they want

507
00:25:29,240 --> 00:25:31,600
Speaker 6: somebody to shake it up. And that's how they saw

508
00:25:31,640 --> 00:25:33,720
Speaker 6: Trump before, and that's how they'll see him again. That's

509
00:25:33,760 --> 00:25:35,160
Speaker 6: the whole ballgame for him.

510
00:25:35,280 --> 00:25:35,639
Speaker 1: Scott.

511
00:25:35,680 --> 00:25:38,800
Speaker 2: We saw the data come out earlier this morning. I'm

512
00:25:38,840 --> 00:25:41,719
Speaker 2: sure you saw it be talking about it at Arizona, Georgia,

513
00:25:41,840 --> 00:25:45,520
Speaker 2: North Carolina, per the New York Times, all in Trump's

514
00:25:45,600 --> 00:25:49,480
Speaker 2: camp right now, somewhat close there, which would mean that

515
00:25:49,600 --> 00:25:55,680
Speaker 2: Kamala has to sweep Pennsylvania, Michigan, and Wisconsin. Yes, circling

516
00:25:55,760 --> 00:25:58,919
Speaker 2: back on that, do you think she will sweep? And

517
00:25:59,240 --> 00:26:02,480
Speaker 2: if that is her pathway and I think it is

518
00:26:02,520 --> 00:26:06,640
Speaker 2: in Nebraska, should they change the law and go all

519
00:26:06,760 --> 00:26:10,639
Speaker 2: the states to the winner of the state or should

520
00:26:10,680 --> 00:26:14,239
Speaker 2: they continue to have that one floating dot of an

521
00:26:14,240 --> 00:26:17,760
Speaker 2: electoral vote that could put Kambala in the White House Omaha,

522
00:26:17,760 --> 00:26:20,400
Speaker 2: Nebraska could put Kamala in the White House two seventy

523
00:26:20,480 --> 00:26:23,360
Speaker 2: two sixty eight. That's not a crazy scenario right now.

524
00:26:23,480 --> 00:26:25,720
Speaker 6: Yeah, what you laid out is her most likely path.

525
00:26:25,880 --> 00:26:28,720
Speaker 6: And I'm spare me the whining. By the way, if

526
00:26:28,760 --> 00:26:30,920
Speaker 6: the Trump folks and Trump himself want to change the

527
00:26:30,960 --> 00:26:33,159
Speaker 6: rules in Nebraska, I mean they've tried to throw him

528
00:26:33,200 --> 00:26:36,439
Speaker 6: off the ballot. You know, they replace their candidate in

529
00:26:36,520 --> 00:26:40,200
Speaker 6: midsummer in a totally unprecedented fashion. And now you're mad

530
00:26:40,240 --> 00:26:43,720
Speaker 6: that Donald Trump's trying to scratch out an advantage in Nebraska, which,

531
00:26:43,760 --> 00:26:45,560
Speaker 6: by the way, is an outlier. Most states don't do

532
00:26:45,600 --> 00:26:47,800
Speaker 6: it this way, correct, So they're an allies. I got

533
00:26:47,840 --> 00:26:49,600
Speaker 6: no I don't know what they're gonna do, but I

534
00:26:49,640 --> 00:26:52,040
Speaker 6: got no problem with them trying to trying to get

535
00:26:52,040 --> 00:26:52,600
Speaker 6: an advantage.

536
00:26:52,640 --> 00:26:55,680
Speaker 2: Is there any doubt Democrats would do it if they

537
00:26:55,760 --> 00:26:59,160
Speaker 2: had this same of course they they'll do anything.

538
00:26:59,280 --> 00:27:03,239
Speaker 6: They will literally do anything to stop You've already got that.

539
00:27:03,440 --> 00:27:06,760
Speaker 6: Congressman Raskin has already talked about in the press. If

540
00:27:06,800 --> 00:27:10,320
Speaker 6: Trump wins, they're going to try to stop the certification

541
00:27:10,400 --> 00:27:12,480
Speaker 6: of the Electoral College. They will do anything to stop

542
00:27:12,480 --> 00:27:16,000
Speaker 6: this guy from winning the election or taking office. I

543
00:27:16,119 --> 00:27:18,360
Speaker 6: firmly believe that on the pathway, I think you got

544
00:27:18,400 --> 00:27:21,399
Speaker 6: it exactly right. I still think Pennsylvania is the tipping

545
00:27:21,400 --> 00:27:23,240
Speaker 6: points state, and I still think it's the weakest of

546
00:27:23,280 --> 00:27:25,960
Speaker 6: the three for Harris. Her own campaign and some of

547
00:27:26,000 --> 00:27:30,080
Speaker 6: our own CNN reporting has acknowledged that Pennsylvania's is very difficult.

548
00:27:30,720 --> 00:27:34,200
Speaker 6: So that's the game. I thought the Sun Belt polling

549
00:27:34,240 --> 00:27:36,360
Speaker 6: this morning for Trump was good. I do think people

550
00:27:36,440 --> 00:27:38,400
Speaker 6: are worried about North Carolina. I still think he has

551
00:27:38,400 --> 00:27:42,000
Speaker 6: the advantage down south. But if he wins Pennsylvania and

552
00:27:42,040 --> 00:27:43,800
Speaker 6: he holds a sun Belt or wins a sun belt.

553
00:27:43,880 --> 00:27:44,199
Speaker 1: That's it.

554
00:27:44,240 --> 00:27:46,200
Speaker 6: He's going to be the next president. So the whole

555
00:27:46,200 --> 00:27:48,119
Speaker 6: thing Pennsylvania or a bust in my opinion.

556
00:27:48,680 --> 00:27:51,880
Speaker 1: Scott Jennings from CNN, thanks so much, man for being

557
00:27:51,920 --> 00:27:54,679
Speaker 1: with us. And don't let those left wingers ambush you.

558
00:27:54,720 --> 00:27:56,239
Speaker 1: Give you too much guff over there. All right, we'll

559
00:27:56,280 --> 00:27:56,919
Speaker 1: fight them every day.

560
00:27:56,960 --> 00:27:57,760
Speaker 6: Brother, Thanks for having me on.

561
00:27:57,800 --> 00:28:00,000
Speaker 1: I love your show. Thank you work, thank you.

562
00:28:00,000 --> 00:28:02,320
Speaker 2: He's doing fabulous work there. We appreciate him hopping in

563
00:28:02,320 --> 00:28:03,359
Speaker 2: the New York City studio.

564
00:28:03,400 --> 00:28:03,640
Speaker 1: Buck.

565
00:28:03,680 --> 00:28:06,040
Speaker 2: You and I are about to go out and get

566
00:28:06,080 --> 00:28:10,880
Speaker 2: trained in saber projectile launchers and pepper spray to protect

567
00:28:10,920 --> 00:28:12,520
Speaker 2: your family and some of you might be out there.

568
00:28:12,520 --> 00:28:14,720
Speaker 2: You say, okay, I've got guns. Why would I want

569
00:28:15,040 --> 00:28:19,240
Speaker 2: something like this? I got teenagers in my house. How often,

570
00:28:19,560 --> 00:28:23,439
Speaker 2: be honest, have you, as a teenager snuck out of

571
00:28:23,440 --> 00:28:26,879
Speaker 2: the house to try to beat curfew? Snuck back into

572
00:28:26,920 --> 00:28:29,440
Speaker 2: the house maybe to try to beat curfew. And maybe

573
00:28:29,480 --> 00:28:32,560
Speaker 2: you're a parent, maybe you're a grandparent. You're in bed,

574
00:28:32,720 --> 00:28:35,480
Speaker 2: you hear something, somebody's creeping around.

575
00:28:35,680 --> 00:28:36,280
Speaker 1: It's night.

576
00:28:37,000 --> 00:28:41,959
Speaker 2: But you don't want to have a permanent, dangerous solution

577
00:28:42,040 --> 00:28:45,240
Speaker 2: because you don't necessarily feel completely threatened, and you think

578
00:28:45,280 --> 00:28:48,240
Speaker 2: it might be your teenage son or daughter. You think

579
00:28:48,320 --> 00:28:51,200
Speaker 2: it might be your grandson or your granddaughter. Maybe it's

580
00:28:51,200 --> 00:28:54,840
Speaker 2: your own kids coming back in. You can take advantage

581
00:28:54,960 --> 00:28:59,160
Speaker 2: of protecting yourself in a non lethal manner with Saber.

582
00:28:59,360 --> 00:29:05,760
Speaker 2: It's spelled Sabre. Website is saberradio dot com. They make

583
00:29:05,880 --> 00:29:09,560
Speaker 2: the number one made in the US pepper spray, trusted

584
00:29:09,600 --> 00:29:13,000
Speaker 2: by law enforcement and families across America. It's called the

585
00:29:13,080 --> 00:29:18,480
Speaker 2: Saber Pepper Projectile Launcher bestseller. Less lethal, fast loading, no

586
00:29:18,640 --> 00:29:22,960
Speaker 2: recoil solution, powerful stopping power at up to one hundred

587
00:29:23,000 --> 00:29:26,520
Speaker 2: and seventy five feet, and the real advantage even if

588
00:29:26,560 --> 00:29:31,880
Speaker 2: you miss six foot pepper cloud intense cinsory irritation. It

589
00:29:32,040 --> 00:29:35,880
Speaker 2: stops anybody in its path. Buck and I, like I said,

590
00:29:36,680 --> 00:29:40,080
Speaker 2: are going to be outright as soon as this show ends.

591
00:29:40,400 --> 00:29:43,960
Speaker 2: Testing with these Saber devices, I can't wait. We've got

592
00:29:44,000 --> 00:29:45,760
Speaker 2: them in my home. You can have them in your

593
00:29:45,760 --> 00:29:50,160
Speaker 2: home as well. Sabers full range of defensive sprays, home

594
00:29:50,200 --> 00:29:55,160
Speaker 2: security tools, and exclusive launcher bundles. Check them out. Non lethal,

595
00:29:55,560 --> 00:29:59,120
Speaker 2: very protective. Maybe it makes sense for you and your family,

596
00:29:59,200 --> 00:30:02,120
Speaker 2: like it makes sense for mine. As well Saber radio

597
00:30:02,320 --> 00:30:05,600
Speaker 2: dot com. You can call them eight four four eight

598
00:30:05,680 --> 00:30:09,800
Speaker 2: two four safe. That's eight four four eight two four

599
00:30:10,400 --> 00:30:13,120
Speaker 2: s a f e keeek.

600
00:30:12,960 --> 00:30:15,840
Speaker 5: Out with the guys on the Sunday Hang with Clay

601
00:30:15,880 --> 00:30:19,400
Speaker 5: and Buck podcast, a new episode of Every Sunday. Find

602
00:30:19,400 --> 00:30:22,480
Speaker 5: it on the iHeart app or wherever you get your podcasts.

603
00:30:22,720 --> 00:30:25,120
Speaker 1: Wanted to return to something you're not seeing a lot

604
00:30:25,160 --> 00:30:29,200
Speaker 1: of in the media, and that is more coverage and

605
00:30:29,680 --> 00:30:34,120
Speaker 1: follow up to the second assassination attempt on Donald Trump.

606
00:30:34,800 --> 00:30:37,560
Speaker 1: There it is not an apparent assassination attempt, as they

607
00:30:37,560 --> 00:30:41,320
Speaker 1: were saying for days afterwards. This guy, in every sense

608
00:30:41,640 --> 00:30:45,280
Speaker 1: wanted to kill President Trump, prepared to do it, the

609
00:30:45,400 --> 00:30:47,760
Speaker 1: means to do it, planning, plan the whole thing out,

610
00:30:47,800 --> 00:30:51,320
Speaker 1: plotted it out with a twelve hours on that golf course,

611
00:30:52,040 --> 00:30:55,240
Speaker 1: uh and and managed to figure out where Trump would be.

612
00:30:55,320 --> 00:30:58,760
Speaker 1: I mean, it's scary. I know that, you know our sense,

613
00:30:59,040 --> 00:31:00,560
Speaker 1: you know, Clay. I just want to put this in

614
00:31:00,600 --> 00:31:03,760
Speaker 1: context because Trump took a bullet in the ear and

615
00:31:03,800 --> 00:31:07,200
Speaker 1: there were multiple rounds fired around his head and somebody

616
00:31:07,360 --> 00:31:11,160
Speaker 1: was killed. As we know at that rally. Our sense

617
00:31:11,200 --> 00:31:15,280
Speaker 1: of this attack is that this is kind of substantially

618
00:31:15,560 --> 00:31:18,040
Speaker 1: less of a threat. I think that's that's just the

619
00:31:18,080 --> 00:31:20,880
Speaker 1: way it goes, right, you know. But it's a little

620
00:31:20,920 --> 00:31:23,840
Speaker 1: bit like we almost got hit by a freight train

621
00:31:24,440 --> 00:31:26,640
Speaker 1: and then we almost got hit by a truck on

622
00:31:27,040 --> 00:31:29,760
Speaker 1: the sidewalk, you know, going sixty miles an hour, and

623
00:31:29,760 --> 00:31:31,280
Speaker 1: you're like, well, it wasn't at least it wasn't a

624
00:31:31,280 --> 00:31:34,400
Speaker 1: freight train, right. Our sense what I mean is the

625
00:31:34,480 --> 00:31:37,920
Speaker 1: second assassination attempt on Trump would have been by far

626
00:31:38,760 --> 00:31:44,120
Speaker 1: the most dangerous attempt on a presidential candidate and former

627
00:31:44,120 --> 00:31:47,960
Speaker 1: president since Ronald Reagan alone. Correct Like the second attempt,

628
00:31:48,080 --> 00:31:49,800
Speaker 1: people I think are a little more like, oh, well,

629
00:31:49,840 --> 00:31:51,800
Speaker 1: you know, at least he didn't get shot, because he

630
00:31:51,840 --> 00:31:55,720
Speaker 1: did in the first one. This was dangerously close to

631
00:31:55,960 --> 00:31:59,200
Speaker 1: more shots being fired at President Trump. We have some

632
00:31:59,520 --> 00:32:02,720
Speaker 1: additional information on this. I think I said last week

633
00:32:02,760 --> 00:32:04,160
Speaker 1: when I looked at the photo in New York Post

634
00:32:04,160 --> 00:32:07,640
Speaker 1: that it's an SKS rifle that has been confirmed. So

635
00:32:07,680 --> 00:32:13,840
Speaker 1: it's a semi automatic SKS rifle had a detachable curved magazine,

636
00:32:14,320 --> 00:32:17,520
Speaker 1: had a scope added to it for longer range shooting fires.

637
00:32:17,560 --> 00:32:20,360
Speaker 1: A seven to six ' two round this would were

638
00:32:20,640 --> 00:32:24,560
Speaker 1: absolutely sufficient for somebody who was trying to conduct some

639
00:32:24,680 --> 00:32:27,640
Speaker 1: kind of an assassination attempt to have this rifle under

640
00:32:27,680 --> 00:32:30,880
Speaker 1: these circumstances. So the guy knew at least what he

641
00:32:30,960 --> 00:32:32,960
Speaker 1: was doing with regard to that, which makes him a

642
00:32:33,000 --> 00:32:38,400
Speaker 1: greater threat. New to find cover or concealment, and even

643
00:32:38,400 --> 00:32:42,040
Speaker 1: a degree of cover by setting up these plates ceramic

644
00:32:42,080 --> 00:32:45,120
Speaker 1: bulletproof plates, not really bulletproof, but you know, bullet resistant,

645
00:32:45,160 --> 00:32:48,520
Speaker 1: you could say plates in bags. And we also, Clay

646
00:32:48,560 --> 00:32:52,920
Speaker 1: have the note that he wrote, dear world, I mean

647
00:32:52,920 --> 00:32:54,280
Speaker 1: to talk to us. You said this to me over

648
00:32:54,280 --> 00:32:56,719
Speaker 1: the weekend. Yeah, this guy really thought that he was

649
00:32:56,760 --> 00:33:01,240
Speaker 1: going to become a global hero by assassin a former

650
00:33:01,320 --> 00:33:03,320
Speaker 1: and likely future US president.

651
00:33:03,480 --> 00:33:07,840
Speaker 2: So this letter was released officially, I think early this morning,

652
00:33:08,280 --> 00:33:12,560
Speaker 2: late last night, and it is from the would be assassin.

653
00:33:13,160 --> 00:33:15,360
Speaker 2: And I think to your point, it's very important that

654
00:33:15,400 --> 00:33:20,680
Speaker 2: we recognize this the one attempt in Butler, PA. Because

655
00:33:20,720 --> 00:33:24,720
Speaker 2: it was on film and because Trump was hit struck

656
00:33:24,800 --> 00:33:27,840
Speaker 2: people in a way that it was impossible to ignore.

657
00:33:28,440 --> 00:33:31,200
Speaker 2: I think a lot of people who are casual followers

658
00:33:31,280 --> 00:33:34,440
Speaker 2: of the news aren't even aware that this guy would

659
00:33:34,440 --> 00:33:37,640
Speaker 2: have been camped out for twelve hours beside the golf course,

660
00:33:38,120 --> 00:33:40,000
Speaker 2: and that he had a go pro and that he

661
00:33:40,080 --> 00:33:43,720
Speaker 2: was prepared to film himself, and that he was saying

662
00:33:43,720 --> 00:33:46,200
Speaker 2: that he needed to kill Trump because Joe Biden and

663
00:33:46,240 --> 00:33:49,120
Speaker 2: Kamala Harris convinced him that Trump was a direct threat

664
00:33:49,160 --> 00:33:53,280
Speaker 2: against democracy. But what strikes me, Buck, and I'm curious

665
00:33:53,480 --> 00:33:57,320
Speaker 2: what your analysis of this would be. The guy says

666
00:33:57,360 --> 00:34:00,760
Speaker 2: in the letter that if he fails, he will pay

667
00:34:00,800 --> 00:34:04,680
Speaker 2: someone one hundred and fifty thousand dollars to kill Trump. Now,

668
00:34:05,400 --> 00:34:08,680
Speaker 2: this guy's clearly crazy. This would be assassin. The second

669
00:34:08,719 --> 00:34:12,880
Speaker 2: would be assassin one hundred and fifty thousand dollars. He

670
00:34:12,920 --> 00:34:16,279
Speaker 2: doesn't have one hundred and fifty thousand dollars. But it's

671
00:34:16,320 --> 00:34:18,680
Speaker 2: not like he said, I'll give you fifteen million or

672
00:34:18,719 --> 00:34:22,160
Speaker 2: one hundred and fifty million. It's very strange one hundred

673
00:34:22,200 --> 00:34:26,640
Speaker 2: and fifty thousand dollars. But why did they publish this letter?

674
00:34:27,960 --> 00:34:31,000
Speaker 2: And the reason why I ask that question is we

675
00:34:31,200 --> 00:34:36,200
Speaker 2: frequently are told, for instance, with the trans shooter Manifesto

676
00:34:36,600 --> 00:34:40,799
Speaker 2: in the state of Tennessee, where I'm from in Nashville,

677
00:34:41,120 --> 00:34:44,520
Speaker 2: it still hasn't been officially published, and the FBI and

678
00:34:44,600 --> 00:34:49,040
Speaker 2: authority said, well, we don't want to encourage another round

679
00:34:49,120 --> 00:34:51,359
Speaker 2: of shooting based on some of the things that were

680
00:34:51,400 --> 00:34:54,160
Speaker 2: written in this Trans Manifesto. Right, that's the logic by

681
00:34:54,160 --> 00:34:57,680
Speaker 2: which they chose not to publish it. How just putting

682
00:34:57,840 --> 00:35:01,759
Speaker 2: a letter out where a guy put it's bounty on

683
00:35:01,880 --> 00:35:07,200
Speaker 2: Trump's head and encourages other people to kill him, how

684
00:35:07,200 --> 00:35:12,399
Speaker 2: does that follow the logic of not releasing the Trans Manifesto?

685
00:35:13,120 --> 00:35:15,400
Speaker 2: Because what I would argue Buck is there isn't a

686
00:35:15,560 --> 00:35:21,000
Speaker 2: consistent principle here. If your position is, hey, these crazy manifestos,

687
00:35:21,080 --> 00:35:24,000
Speaker 2: these crazy letters, were always going to publish them, like

688
00:35:24,040 --> 00:35:27,080
Speaker 2: they published the guy who shot up the grocery store

689
00:35:27,080 --> 00:35:30,600
Speaker 2: in El Paso, Texas. Remember his manifesto got out. They

690
00:35:30,600 --> 00:35:35,279
Speaker 2: eventually published the Unibomber's manifesto. What seems to me to

691
00:35:35,320 --> 00:35:37,440
Speaker 2: be the standard that's being applied here? And tell me

692
00:35:37,480 --> 00:35:39,239
Speaker 2: what I'm missing? And I'm by the way eight hundred

693
00:35:39,280 --> 00:35:41,279
Speaker 2: two eight two two eight a two. You guys, maybe

694
00:35:41,320 --> 00:35:45,440
Speaker 2: I'm missing something here. You guys can analyze. How could

695
00:35:45,440 --> 00:35:49,439
Speaker 2: you justify not publishing the Trans Manifesto because you said

696
00:35:49,440 --> 00:35:53,200
Speaker 2: you were concerned that it would encourage additional shootings, but

697
00:35:53,360 --> 00:35:57,600
Speaker 2: you do publish The second would be assassin's letter where

698
00:35:57,640 --> 00:36:00,359
Speaker 2: he says, somebody else needs to kill Trump if he can't,

699
00:36:00,360 --> 00:36:02,440
Speaker 2: and I'll give you one hundred and fifty thousand dollars

700
00:36:02,480 --> 00:36:05,720
Speaker 2: if you do it. Either publish everything from crazy people

701
00:36:06,320 --> 00:36:09,520
Speaker 2: or publish nothing from crazy people. I don't understand the

702
00:36:09,560 --> 00:36:12,439
Speaker 2: logic of publishing this one and not publishing the trans

703
00:36:12,480 --> 00:36:14,800
Speaker 2: shooter you got, you got my entire year. Yeah, absolutely,

704
00:36:14,880 --> 00:36:16,640
Speaker 2: I think there is no logic other than they didn't

705
00:36:16,640 --> 00:36:20,440
Speaker 2: want people to be focused on a transshooter who was

706
00:36:20,560 --> 00:36:24,280
Speaker 2: upset about what she believed to be anti trans policy,

707
00:36:24,600 --> 00:36:27,640
Speaker 2: So they just made this one off exception. It's the

708
00:36:27,680 --> 00:36:31,719
Speaker 2: notion that we're not going to release information that is

709
00:36:31,760 --> 00:36:34,680
Speaker 2: pertinent to not only an investigation, but an issue of

710
00:36:34,719 --> 00:36:39,480
Speaker 2: public safety and public security. In motive, of course, this

711
00:36:39,719 --> 00:36:42,440
Speaker 2: was a this was a one and done or at

712
00:36:42,520 --> 00:36:45,680
Speaker 2: least one and done for this situation rule that they

713
00:36:45,719 --> 00:36:48,440
Speaker 2: came up with. If they had no intention of the

714
00:36:49,600 --> 00:36:56,560
Speaker 2: rationale behind keeping the trans trans Terrorists Manifesto secret would

715
00:36:56,560 --> 00:36:59,200
Speaker 2: not be applied by the people using it to any

716
00:36:59,239 --> 00:37:02,680
Speaker 2: other circumstance that did not involve another trans terrorist, you

717
00:37:02,719 --> 00:37:04,840
Speaker 2: know what I mean. Yeah, So, so they never thought

718
00:37:04,880 --> 00:37:07,920
Speaker 2: that they were they were never acting on principle, it

719
00:37:08,040 --> 00:37:11,400
Speaker 2: was just political favoritism, and then they try to after

720
00:37:11,480 --> 00:37:13,040
Speaker 2: the fact justified in this way.

721
00:37:13,719 --> 00:37:16,720
Speaker 1: But but what you say with this guy is, look,

722
00:37:16,960 --> 00:37:19,040
Speaker 1: I mean a lot of the arguments that he makes

723
00:37:19,080 --> 00:37:22,240
Speaker 1: here are the arguments that they have foreign policy experts

724
00:37:22,280 --> 00:37:24,239
Speaker 1: making on you know, Mourning Joe, which is you know,

725
00:37:24,280 --> 00:37:26,640
Speaker 1: this is he's a threat to the world. I'm doing

726
00:37:26,640 --> 00:37:28,920
Speaker 1: this for the world. That's all. This guy was obsessed

727
00:37:28,960 --> 00:37:32,359
Speaker 1: with Ukraine. I mean, you know, you see that if

728
00:37:32,400 --> 00:37:37,640
Speaker 1: you have convinced enough people, enough people that Donald Trump

729
00:37:37,719 --> 00:37:39,759
Speaker 1: is a unique threat to end the Republic and to

730
00:37:39,800 --> 00:37:42,319
Speaker 1: the war, to the global order. Yeah, or part of

731
00:37:42,320 --> 00:37:44,959
Speaker 1: this that we don't talk about because we're emotionally stable people.

732
00:37:45,080 --> 00:37:48,399
Speaker 1: Klan are emostly stable, happy people who try to live

733
00:37:48,440 --> 00:37:50,440
Speaker 1: in reality like you, which is why all of you

734
00:37:50,480 --> 00:37:54,040
Speaker 1: are listening to the show. We're emotionally stable, overwhelmingly happy

735
00:37:54,080 --> 00:37:56,400
Speaker 1: people that love our country and want what's best for

736
00:37:56,440 --> 00:37:59,000
Speaker 1: ourselves and our families and our neighbors. Right, A lot

737
00:37:59,040 --> 00:38:02,720
Speaker 1: of leftists are Luna. Yes, they honestly have a mental

738
00:38:02,719 --> 00:38:06,800
Speaker 1: instability that is either exacerbated or caused by their chosen politics.

739
00:38:06,800 --> 00:38:08,920
Speaker 1: We can argue about which one of those. It really is.

740
00:38:09,960 --> 00:38:11,719
Speaker 1: They've been saying, not only is Trump a threat to

741
00:38:11,760 --> 00:38:16,040
Speaker 1: the Republic Clay, that that he's gonna let dictators, whether

742
00:38:16,080 --> 00:38:20,560
Speaker 1: it's Putin or North Korea's Kim Jong un, do whatever

743
00:38:20,640 --> 00:38:24,680
Speaker 1: they want, destabilize the world order and lead to nuclear war.

744
00:38:25,120 --> 00:38:26,800
Speaker 1: I mean, this is the argument. This is the event

745
00:38:26,880 --> 00:38:30,200
Speaker 1: which I know, it's like it's going in deep into

746
00:38:30,239 --> 00:38:32,840
Speaker 1: the rabbit hole and going into crazy town. Trump is

747
00:38:32,880 --> 00:38:34,640
Speaker 1: the guy who keeps us out of wars, but they

748
00:38:34,719 --> 00:38:38,080
Speaker 1: argue that he's actually a threat of massive wards. You

749
00:38:38,120 --> 00:38:40,880
Speaker 1: know what I'm saying, And that's part of their whole logic.

750
00:38:41,160 --> 00:38:46,200
Speaker 2: If the goal of I really can't get around releasing

751
00:38:46,320 --> 00:38:50,319
Speaker 2: this letter other than trying to encourage someone else to

752
00:38:50,440 --> 00:38:55,080
Speaker 2: kill Trump, I really can't. I mean, I think everybody

753
00:38:55,160 --> 00:38:57,840
Speaker 2: knows what the motive was of the guy who showed

754
00:38:57,920 --> 00:39:00,719
Speaker 2: up to kill Trump. He wanted to kill Trump. So

755
00:39:01,160 --> 00:39:06,280
Speaker 2: I'm not persuaded that this letter changes anything in terms

756
00:39:06,440 --> 00:39:10,799
Speaker 2: of the motive. And again, I don't understand why publishing

757
00:39:10,880 --> 00:39:15,080
Speaker 2: it but for the encouragement of other crazy people to

758
00:39:15,200 --> 00:39:18,480
Speaker 2: try to kill Trump, what the purpose of this would

759
00:39:18,480 --> 00:39:19,160
Speaker 2: be otherwise?

760
00:39:19,280 --> 00:39:22,960
Speaker 1: Yeah, And also he wrote in this or rather, they've

761
00:39:22,960 --> 00:39:26,879
Speaker 1: they've done some investigation of his social media footprint everything else.

762
00:39:27,480 --> 00:39:29,720
Speaker 1: He was looking for how to get from Florida to Mexico,

763
00:39:30,719 --> 00:39:33,560
Speaker 1: which I don't know if I were. You know, if

764
00:39:33,600 --> 00:39:36,440
Speaker 1: you're thinking about where you would try to escape the US,

765
00:39:36,880 --> 00:39:38,319
Speaker 1: first of all, you'd want to get to a non

766
00:39:38,360 --> 00:39:42,560
Speaker 1: extradition or a country that has a history of refusing

767
00:39:42,600 --> 00:39:45,000
Speaker 1: extraditions before. But for do you know what some of

768
00:39:45,040 --> 00:39:46,640
Speaker 1: the I know you know this is a kind of

769
00:39:46,640 --> 00:39:48,239
Speaker 1: a specialized area flow. Do you know what some of

770
00:39:48,280 --> 00:39:51,319
Speaker 1: the non extradition countries out there are? Partly because we

771
00:39:51,360 --> 00:39:53,680
Speaker 1: talked about it last night at our fancy steak dinner,

772
00:39:54,040 --> 00:39:56,440
Speaker 1: you knew more about this than I did. A lot

773
00:39:56,480 --> 00:39:59,080
Speaker 1: of the countries that are non extraditable countries are not

774
00:39:59,239 --> 00:40:02,279
Speaker 1: places that you would want to live. North Korea I'm

775
00:40:02,320 --> 00:40:05,920
Speaker 1: not going to not on the list. What else do

776
00:40:05,920 --> 00:40:08,600
Speaker 1: we a China, which I mean, yes, advanced, but I

777
00:40:08,640 --> 00:40:10,640
Speaker 1: don't think you're gonna have a great time living in China.

778
00:40:10,719 --> 00:40:12,400
Speaker 1: I don't think they would like me very much, and

779
00:40:12,440 --> 00:40:14,640
Speaker 1: they might they might decide to just turn you over anyway.

780
00:40:14,880 --> 00:40:19,120
Speaker 1: They won't turn over a Chinese national though Belarus and Russia.

781
00:40:19,680 --> 00:40:21,880
Speaker 1: You gotta like the cold, then you gotta like vodka.

782
00:40:22,120 --> 00:40:25,239
Speaker 1: I'm just saying those lists. I guess Russia would be

783
00:40:25,320 --> 00:40:27,799
Speaker 1: the best. Well, there's there's more. I you know, I've

784
00:40:27,800 --> 00:40:30,120
Speaker 1: been to Vietnam. Vietnam is actually very I think you know,

785
00:40:30,200 --> 00:40:32,759
Speaker 1: they didn't have extra according to I just did a

786
00:40:32,760 --> 00:40:35,120
Speaker 1: Google search, so we can blame you know, blame doctor

787
00:40:35,160 --> 00:40:37,359
Speaker 1: Google if this is wrong. But Vietnam I don't think

788
00:40:37,400 --> 00:40:39,799
Speaker 1: has has a formal extradition country. There are a few

789
00:40:40,000 --> 00:40:44,600
Speaker 1: iran not going around. I don't think you start to

790
00:40:44,600 --> 00:40:45,840
Speaker 1: look at this like where.

791
00:40:45,600 --> 00:40:48,280
Speaker 2: Were Afghanistan not going to Afghanistan?

792
00:40:48,440 --> 00:40:50,920
Speaker 1: Yep, that's not that's not in the Taliban. I don't

793
00:40:50,960 --> 00:40:52,640
Speaker 1: think we would get along. Well, not gonna have a

794
00:40:52,640 --> 00:40:54,279
Speaker 1: great time. There are some other Gulf states in the

795
00:40:54,280 --> 00:40:56,200
Speaker 1: Middle least. But the point is if you're trying to

796
00:40:56,239 --> 00:40:59,920
Speaker 1: go full on non extradition, you have very limited options and.

797
00:41:00,120 --> 00:41:01,640
Speaker 2: So it's hard to get there. A lot of these

798
00:41:01,680 --> 00:41:03,160
Speaker 2: countries you can't even fly into.

799
00:41:03,280 --> 00:41:03,440
Speaker 8: Now.

800
00:41:03,600 --> 00:41:07,600
Speaker 1: Yeah, Lebanon is yeah, Lebanon no haslaw that's going to

801
00:41:07,640 --> 00:41:07,920
Speaker 1: be rough.

802
00:41:07,960 --> 00:41:12,000
Speaker 2: Well, that's where the guy from who was the CEO

803
00:41:12,239 --> 00:41:15,440
Speaker 2: right of the car company fled to Beirut right because

804
00:41:15,480 --> 00:41:17,840
Speaker 2: there was no extra diable. I think they put it

805
00:41:17,920 --> 00:41:21,120
Speaker 2: in the carry case right out of Japan. Yes, that's fine,

806
00:41:21,360 --> 00:41:24,160
Speaker 2: and that is one. Yeah, that is one. I remember

807
00:41:24,200 --> 00:41:26,279
Speaker 2: that he had done the specific research. Now I think

808
00:41:26,280 --> 00:41:29,840
Speaker 2: he was also a Lebanese citizen, the guy who was,

809
00:41:29,880 --> 00:41:32,319
Speaker 2: So that's what makes a huge to get there, whether

810
00:41:32,360 --> 00:41:34,120
Speaker 2: they let you right, whether they let you in the

811
00:41:34,160 --> 00:41:36,920
Speaker 2: country anyway, this guy was trying. The point here is

812
00:41:36,920 --> 00:41:39,160
Speaker 2: that this guy knew what he was doing, set up

813
00:41:39,200 --> 00:41:41,080
Speaker 2: to do it, had the equipment to do it, had

814
00:41:41,120 --> 00:41:43,400
Speaker 2: scoped out where he where he thought Trump would be,

815
00:41:43,960 --> 00:41:46,360
Speaker 2: was at a location where Trump was going to be vulnerable,

816
00:41:46,840 --> 00:41:50,239
Speaker 2: got away, Yes, initially. I mean I bring this up

817
00:41:50,239 --> 00:41:53,880
Speaker 2: because it's not unthinkable that this guy could have gotten

818
00:41:53,880 --> 00:41:57,480
Speaker 2: from Florida to an island in the Caribbean to Cuba

819
00:41:57,800 --> 00:42:00,040
Speaker 2: where I don't know, you know, I don't know, so

820
00:42:00,200 --> 00:42:02,200
Speaker 2: if he get turned I probably wouldn't get turned over.

821
00:42:02,280 --> 00:42:04,279
Speaker 2: I think they technically have an extradition treaty with the US,

822
00:42:04,320 --> 00:42:08,480
Speaker 2: but they don't honor it anyway. I don't know if

823
00:42:08,560 --> 00:42:11,399
Speaker 2: you get a lawyer on who knows about extra territorial law.

824
00:42:11,800 --> 00:42:15,480
Speaker 2: But the point here, Clay is this was a like.

825
00:42:15,520 --> 00:42:18,080
Speaker 2: I said, this would have been the most dangerous, most

826
00:42:18,120 --> 00:42:21,879
Speaker 2: serious assassination attempt on a president since Ronald Reagan got

827
00:42:21,920 --> 00:42:25,120
Speaker 2: shot in the eighties. And this was the second most

828
00:42:25,200 --> 00:42:28,000
Speaker 2: dangerous attack against Trump in the last two months, and

829
00:42:28,040 --> 00:42:31,120
Speaker 2: it barely got twenty four hours of coverage. And now

830
00:42:31,160 --> 00:42:35,160
Speaker 2: to me, it feels like they're further incentivizing assassination attempts

831
00:42:35,520 --> 00:42:40,520
Speaker 2: by publishing this guy's letter, which included a charge, a challenge,

832
00:42:40,680 --> 00:42:45,120
Speaker 2: an offer of one hundred and fifty thousand dollars if

833
00:42:45,160 --> 00:42:48,239
Speaker 2: someone were able to complete the job of assassinating Trump,

834
00:42:48,280 --> 00:42:50,799
Speaker 2: which he didn't do. Again, what is the logic here?

835
00:42:50,840 --> 00:42:53,439
Speaker 2: I would just like it to be applied consistently. It's

836
00:42:53,440 --> 00:42:57,279
Speaker 2: too dangerous to get the trans manifesto, shooters information and

837
00:42:57,360 --> 00:43:00,399
Speaker 2: words out there, but this one immediately gets a real least.

838
00:43:00,840 --> 00:43:04,400
Speaker 2: I just I don't get it. Look right now, my

839
00:43:04,480 --> 00:43:07,600
Speaker 2: two oldest kids both have pure Talk phones. I use

840
00:43:07,680 --> 00:43:10,600
Speaker 2: their Pure Talk phone to stay in touch with them,

841
00:43:10,840 --> 00:43:14,120
Speaker 2: sixteen year old and fourteen year old. They have got

842
00:43:14,239 --> 00:43:17,279
Speaker 2: phenomenal cell phone service. Thanks to Pure Talk. You can

843
00:43:17,360 --> 00:43:21,640
Speaker 2: keep your same phone and your same phone number. Cell

844
00:43:21,640 --> 00:43:25,360
Speaker 2: phone service just as good, and you will save a bundle.

845
00:43:25,440 --> 00:43:27,480
Speaker 2: In fact, for just twenty five bucks a month. With

846
00:43:27,520 --> 00:43:31,400
Speaker 2: Puretalk you can get unlimited talk text, five gigs of data,

847
00:43:31,440 --> 00:43:34,560
Speaker 2: plus a mobile hotspot that's enough to watch ten hours

848
00:43:34,560 --> 00:43:38,040
Speaker 2: of video or stream one thousand songs. You could make

849
00:43:38,040 --> 00:43:40,640
Speaker 2: the switch to pure Talk right now. Dial pound two

850
00:43:40,719 --> 00:43:44,040
Speaker 2: five zero say Clay and Buck, and you'll save fifty

851
00:43:44,120 --> 00:43:48,080
Speaker 2: percent off your first month. Again, dial pound two five

852
00:43:48,200 --> 00:43:51,160
Speaker 2: zero say Clay and Buck to start saving now on

853
00:43:51,200 --> 00:43:54,680
Speaker 2: your cell phone plan. That's pound two five zero say

854
00:43:54,760 --> 00:43:57,920
Speaker 2: Clay and Buck. Fifty percent off your first month. You

855
00:43:57,920 --> 00:44:00,120
Speaker 2: could save up to one thousand dollars over the cour

856
00:44:00,200 --> 00:44:03,479
Speaker 2: of a year. Get signed up now at pure Talk

857
00:44:03,960 --> 00:44:07,200
Speaker 2: using pound two five zero say Clay and Buck.

858
00:44:09,400 --> 00:44:12,799
Speaker 5: Learn, laugh, and join us on the weekend on our

859
00:44:12,960 --> 00:44:16,160
Speaker 5: Sunday Hang with Clay and Buck podcast. Find it on

860
00:44:16,239 --> 00:44:18,960
Speaker 5: the iHeart app or wherever you get your podcasts.

861
00:44:19,560 --> 00:44:24,600
Speaker 1: Welcome back in. We have Carol Markowitz aunt Mary Catherine

862
00:44:24,640 --> 00:44:27,759
Speaker 1: Ham joining us now to talk about the launch of

863
00:44:27,880 --> 00:44:35,040
Speaker 1: their new podcast, which they're hosting together normally. And my understanding, ladies,

864
00:44:35,080 --> 00:44:37,280
Speaker 1: and I'll just because we're on radio, I'll try to clarify.

865
00:44:37,320 --> 00:44:38,960
Speaker 1: We'll start with you, Carol. We'll get to you, Mary

866
00:44:39,000 --> 00:44:43,280
Speaker 1: in a second. My understanding is you're can talk about stuff,

867
00:44:43,280 --> 00:44:45,440
Speaker 1: it's not just politics, and a lot of the moms

868
00:44:45,480 --> 00:44:48,479
Speaker 1: listening across America will want to hear what you guys

869
00:44:48,680 --> 00:44:49,160
Speaker 1: have to say.

870
00:44:50,200 --> 00:44:52,960
Speaker 8: You know, we're not exclusive to moms. Dads are welcome.

871
00:44:53,040 --> 00:44:56,040
Speaker 8: You know, Clay said best release the child this cat.

872
00:44:56,080 --> 00:45:00,279
Speaker 8: People are welcome. Everyone's welcome to our Normally podcast to

873
00:45:00,280 --> 00:45:04,800
Speaker 8: be normal conversation from normal people from normal people, and that's.

874
00:45:04,760 --> 00:45:08,440
Speaker 2: That's our goal there, I think is super important, and

875
00:45:08,480 --> 00:45:10,759
Speaker 2: we're excited to have this debut tomorrow as part of

876
00:45:10,760 --> 00:45:13,719
Speaker 2: the Clay and Buck podcast network. Mary Catherine Ham, I'll

877
00:45:13,719 --> 00:45:16,120
Speaker 2: bring you in and I would encourage you guys to

878
00:45:16,160 --> 00:45:20,239
Speaker 2: follow Carol Markowitz and Mary Katherine Ham on social media

879
00:45:20,280 --> 00:45:22,080
Speaker 2: because I think you guys are really going to enjoy

880
00:45:22,520 --> 00:45:26,160
Speaker 2: these conversations. I've talked with both of you guys, and

881
00:45:26,440 --> 00:45:32,400
Speaker 2: I feel like the mom perspective is actually underrepresented in

882
00:45:32,520 --> 00:45:35,279
Speaker 2: terms of just sort of the common sense universe. I

883
00:45:35,280 --> 00:45:37,880
Speaker 2: think Megan Kelly has done a good job speaking to

884
00:45:38,040 --> 00:45:40,040
Speaker 2: moms out there, and to Carroll's point, when to talk

885
00:45:40,000 --> 00:45:43,240
Speaker 2: to you guys are talking to everybody. But as I

886
00:45:43,280 --> 00:45:46,040
Speaker 2: think collectively, the moms of seven kids.

887
00:45:46,120 --> 00:45:47,120
Speaker 1: I think I've got that right.

888
00:45:47,160 --> 00:45:49,120
Speaker 2: You can correct me if I'm wrong on the on

889
00:45:49,200 --> 00:45:53,400
Speaker 2: the numbers there, what do you think is not being

890
00:45:53,520 --> 00:45:56,080
Speaker 2: shared and what audience do you think is not really

891
00:45:56,120 --> 00:45:59,440
Speaker 2: being reflected in media? Do you buy into to that

892
00:45:59,600 --> 00:46:00,560
Speaker 2: might be there?

893
00:46:01,719 --> 00:46:04,759
Speaker 7: Yeah, I think that. Look, we are different from a

894
00:46:04,800 --> 00:46:07,719
Speaker 7: lot of political elites, particularly those who are elected to

895
00:46:07,800 --> 00:46:10,399
Speaker 7: office national office, and that we like you know, buy

896
00:46:10,400 --> 00:46:13,319
Speaker 7: groceries regularly and drive our kids around to activities and

897
00:46:13,360 --> 00:46:17,200
Speaker 7: feel the pain of having to make those decisions in

898
00:46:17,280 --> 00:46:19,360
Speaker 7: this time of inflation. And I feel like there are

899
00:46:19,360 --> 00:46:21,960
Speaker 7: a lot of people who are not as connected to that.

900
00:46:22,280 --> 00:46:24,799
Speaker 7: And I joke that we're sort of normy adjacent because

901
00:46:24,800 --> 00:46:26,520
Speaker 7: we're not exactly normal because we pay a lot of

902
00:46:26,520 --> 00:46:28,960
Speaker 7: attention to the news. But we can be useful to

903
00:46:29,000 --> 00:46:31,560
Speaker 7: people who are normy because we can filter all that

904
00:46:31,640 --> 00:46:34,200
Speaker 7: news and talk about it normally, which is the idea.

905
00:46:34,800 --> 00:46:38,880
Speaker 7: But I think, look, the inflation problems, the economy, immigration

906
00:46:38,960 --> 00:46:42,440
Speaker 7: and safety issues, these are all things that moms, suburban

907
00:46:42,480 --> 00:46:43,480
Speaker 7: women care about.

908
00:46:43,560 --> 00:46:43,680
Speaker 6: Right.

909
00:46:43,719 --> 00:46:47,120
Speaker 7: It's a really important demo, and there is some attempt

910
00:46:47,160 --> 00:46:49,399
Speaker 7: to speak to it. Child Care costs is another thing,

911
00:46:50,000 --> 00:46:53,480
Speaker 7: but I think people get so bogged down in the

912
00:46:53,520 --> 00:46:56,000
Speaker 7: regular politics of a day and are not able to

913
00:46:56,120 --> 00:47:00,279
Speaker 7: just have a conversation with otherwise normy moms about that

914
00:47:00,320 --> 00:47:02,200
Speaker 7: are affecting their lives. So we hope that we can

915
00:47:02,239 --> 00:47:04,400
Speaker 7: do that and sort of filter out some of the

916
00:47:04,560 --> 00:47:08,480
Speaker 7: heightened emotion that many cable news outlets bring to the

917
00:47:08,560 --> 00:47:10,040
Speaker 7: to the table, which I had to deal with when

918
00:47:10,040 --> 00:47:12,880
Speaker 7: I was at CNN, and just like, let's actually examine

919
00:47:12,880 --> 00:47:14,279
Speaker 7: these things, you.

920
00:47:14,239 --> 00:47:16,839
Speaker 1: Know, Carol. Over the weekend I was seeing I saw

921
00:47:16,880 --> 00:47:20,319
Speaker 1: a few different friends here in South Florida, and it's

922
00:47:20,360 --> 00:47:22,000
Speaker 1: funny because you know, you know what they all are

923
00:47:22,040 --> 00:47:24,840
Speaker 1: talking about, not so much the election. They're all talking

924
00:47:24,840 --> 00:47:29,920
Speaker 1: about how puff Daddy p Diddy Sean Combe is in

925
00:47:30,040 --> 00:47:34,360
Speaker 1: prison and being held, you know, without bail until he's

926
00:47:34,880 --> 00:47:37,960
Speaker 1: until his trial. And I can't even really say on

927
00:47:38,000 --> 00:47:40,200
Speaker 1: the radio, like what's in all of these articles because

928
00:47:40,239 --> 00:47:42,560
Speaker 1: of some of the material and stuff that they have found.

929
00:47:42,600 --> 00:47:46,160
Speaker 1: But do you find that this here's the sort of

930
00:47:46,280 --> 00:47:48,400
Speaker 1: the thesis that was being brought up to me speaking of

931
00:47:48,560 --> 00:47:50,840
Speaker 1: like what more normal folks are in considered in other

932
00:47:50,880 --> 00:47:55,279
Speaker 1: than just the polls, is that Sean Combs isn't just

933
00:47:55,320 --> 00:47:57,560
Speaker 1: a guy who made a lot of money in the

934
00:47:57,640 --> 00:48:02,320
Speaker 1: music industry. He was celebrating by name somebody who's really

935
00:48:02,360 --> 00:48:04,560
Speaker 1: big and powerful in the culture and in politics in

936
00:48:04,600 --> 00:48:08,520
Speaker 1: this country. And yet he had been arrested or almost

937
00:48:08,640 --> 00:48:12,000
Speaker 1: arrested I should say almost arrested, but alleged to have

938
00:48:12,040 --> 00:48:14,840
Speaker 1: been involved in crimes many, many times over the years.

939
00:48:15,719 --> 00:48:18,000
Speaker 1: What does this say about the culture that this guy

940
00:48:18,239 --> 00:48:20,080
Speaker 1: was able to get away with what he got away

941
00:48:20,080 --> 00:48:21,920
Speaker 1: with as long as he did, And now all of

942
00:48:21,960 --> 00:48:24,479
Speaker 1: a sudden, everyone's like, oh, I've never seen him before.

943
00:48:24,520 --> 00:48:27,200
Speaker 1: He was like sitting at Anna Winter's table at the

944
00:48:27,239 --> 00:48:29,160
Speaker 1: met galap For people who watch this stuff.

945
00:48:30,440 --> 00:48:33,399
Speaker 8: Yeah, well, it's funny because Mary Catherine and I talk

946
00:48:33,440 --> 00:48:36,640
Speaker 8: about this, how when a scandal breaks, like Harvey Weinstein,

947
00:48:36,719 --> 00:48:39,759
Speaker 8: everyone's like, oh, everybody knew, everybody knew, And this time

948
00:48:39,800 --> 00:48:42,360
Speaker 8: it's kind of like, oh, no, I had no idea

949
00:48:42,400 --> 00:48:45,400
Speaker 8: about p Diddy. This is new information you have presented

950
00:48:45,440 --> 00:48:49,080
Speaker 8: me with. It's an interesting story because he has been

951
00:48:49,239 --> 00:48:52,359
Speaker 8: so in the limelight for so long. I mean, I

952
00:48:52,480 --> 00:48:55,040
Speaker 8: see him as the guy who ruined many Biggie Smalls

953
00:48:55,080 --> 00:48:59,799
Speaker 8: albums by inserting his into all of his songs. He

954
00:48:59,880 --> 00:49:02,839
Speaker 8: is some people who put you know, a lot of

955
00:49:02,960 --> 00:49:07,040
Speaker 8: young rappers on the map. Basically, he has a lot

956
00:49:07,080 --> 00:49:10,160
Speaker 8: of people who owe him, so it's interesting to watch

957
00:49:10,239 --> 00:49:14,200
Speaker 8: his decline. Of course, you also mentioned or in passing

958
00:49:14,239 --> 00:49:16,600
Speaker 8: with the story of the gun and the club with

959
00:49:16,680 --> 00:49:19,880
Speaker 8: Jennifer Lopez and his passenger See and then another rapper,

960
00:49:19,960 --> 00:49:22,920
Speaker 8: Shine went away for that crime, and the rumor always

961
00:49:23,080 --> 00:49:25,120
Speaker 8: was that he did he paid him a million dollars

962
00:49:25,160 --> 00:49:27,839
Speaker 8: for it. All of this kind of stuff has been

963
00:49:28,000 --> 00:49:31,439
Speaker 8: around for a long time, so it's interesting to watch

964
00:49:31,560 --> 00:49:34,520
Speaker 8: him actually get kind of pegged on.

965
00:49:34,440 --> 00:49:37,280
Speaker 1: This interesting choice of words.

966
00:49:37,800 --> 00:49:42,200
Speaker 2: Mary Catherine Buck and I were talking last night at

967
00:49:42,280 --> 00:49:46,400
Speaker 2: dinner that based on what happened to Epstein, the puff

968
00:49:46,480 --> 00:49:48,799
Speaker 2: Daddy story, p Diddy, whatever you want to call him,

969
00:49:48,960 --> 00:49:52,759
Speaker 2: it feels very epstein esque and whatever you think the

970
00:49:52,880 --> 00:49:55,480
Speaker 2: idea that Epstein in an area that's supposed to be

971
00:49:55,520 --> 00:49:58,160
Speaker 2: super secure, the video is not running, the security guard

972
00:49:58,239 --> 00:50:01,920
Speaker 2: falls asleep, suddenly he kills him self. There were a

973
00:50:01,960 --> 00:50:05,319
Speaker 2: lot of allegations about video and who was involved. It

974
00:50:05,400 --> 00:50:08,719
Speaker 2: seems like there are potentially a ton of celebrities involved.

975
00:50:08,840 --> 00:50:12,680
Speaker 2: Oh they're not giving Diddy a bail. Do you see

976
00:50:12,680 --> 00:50:16,160
Speaker 2: an overlap here? Potentially with Epstein and Ditty in terms

977
00:50:16,200 --> 00:50:20,800
Speaker 2: of maybe what happened to Epstein, but also the celebrity

978
00:50:20,960 --> 00:50:26,879
Speaker 2: involvement and maybe some different blackmail involved also. I mean,

979
00:50:26,920 --> 00:50:28,840
Speaker 2: I see these stories as very much connected.

980
00:50:29,840 --> 00:50:32,200
Speaker 7: One overlap is that I'm afraid to read the indictment

981
00:50:32,200 --> 00:50:34,800
Speaker 7: because it sounds so disgusting, So I gotta steal myself

982
00:50:34,800 --> 00:50:35,040
Speaker 7: for that.

983
00:50:36,000 --> 00:50:36,239
Speaker 5: Two.

984
00:50:36,440 --> 00:50:40,080
Speaker 7: Yeah, my smart friend Emily's Nati, also a great mom

985
00:50:40,120 --> 00:50:43,759
Speaker 7: of three, called it Epstein for millennials because we know

986
00:50:43,960 --> 00:50:47,600
Speaker 7: all these figures. And one thing on the mom front

987
00:50:47,600 --> 00:50:51,040
Speaker 7: that strikes me about all these stories is particularly with

988
00:50:51,239 --> 00:50:56,719
Speaker 7: celebrities and celebrity kids, wonder Can singers and the like.

989
00:50:57,040 --> 00:51:00,440
Speaker 7: You know, Usher was friends with Diddy at thirteen.

990
00:51:01,160 --> 00:51:02,960
Speaker 2: Bieber's in there.

991
00:51:02,400 --> 00:51:05,160
Speaker 7: Doing stuff with him very young, and that worries me

992
00:51:05,200 --> 00:51:08,520
Speaker 7: and it makes me think for my front, talking to

993
00:51:08,520 --> 00:51:11,000
Speaker 7: my kids about like why can't we be on YouTube?

994
00:51:11,040 --> 00:51:15,000
Speaker 7: And it's like, well, this is why you will never

995
00:51:15,160 --> 00:51:19,759
Speaker 7: have a path to any mogul's house ever while you

996
00:51:19,840 --> 00:51:22,160
Speaker 7: are in my care. And I think that's something that

997
00:51:22,960 --> 00:51:25,640
Speaker 7: lights up for people in this demographic when you look

998
00:51:25,680 --> 00:51:28,600
Speaker 7: at these types of stories. And to Carol's point, one

999
00:51:28,640 --> 00:51:30,400
Speaker 7: of the things we'd like to talk about on the

1000
00:51:30,440 --> 00:51:35,160
Speaker 7: podcast is things that everyone did know that the media

1001
00:51:35,320 --> 00:51:38,200
Speaker 7: ignores for two years until they can safely tell the

1002
00:51:38,239 --> 00:51:41,400
Speaker 7: story later. That is messed up to me. It's something

1003
00:51:41,400 --> 00:51:44,880
Speaker 7: that normal people clock early, but the elites will not

1004
00:51:45,040 --> 00:51:47,160
Speaker 7: sort of let it be talked about, and I think

1005
00:51:47,160 --> 00:51:47,680
Speaker 7: that's wrong.

1006
00:51:48,920 --> 00:51:52,960
Speaker 1: Speaking to Carol Markuitz and Mary Catherine Ham their new podcast, normally,

1007
00:51:53,040 --> 00:51:58,400
Speaker 1: when's the first episode Guys Tomorrow comes out tomorrow? Right now,

1008
00:51:58,719 --> 00:52:00,880
Speaker 1: so now is a great time to subscribe to the

1009
00:52:01,239 --> 00:52:05,120
Speaker 1: Clay and Buck podcast network. We also have Jan Parnell

1010
00:52:05,239 --> 00:52:07,239
Speaker 1: and Lisa Booth and other friends of ours who are

1011
00:52:07,239 --> 00:52:09,840
Speaker 1: doing great shows. But this normally show getting a lot

1012
00:52:09,880 --> 00:52:11,839
Speaker 1: of a lot of hype online. Some people are saying Clay

1013
00:52:11,920 --> 00:52:15,000
Speaker 1: probably going to be amazing, probably gonna set download records

1014
00:52:15,719 --> 00:52:19,919
Speaker 1: and and Caeryl. I feel like this is also part

1015
00:52:20,000 --> 00:52:22,960
Speaker 1: of a of a of a broader conversation, which is

1016
00:52:23,200 --> 00:52:25,279
Speaker 1: I understand that people can say, like, oh, like, don't

1017
00:52:25,320 --> 00:52:28,480
Speaker 1: subscribe to Netflix and don't engage in the culture if

1018
00:52:28,480 --> 00:52:30,400
Speaker 1: it's going to be left wing and all this other stuff,

1019
00:52:30,480 --> 00:52:32,680
Speaker 1: but there also needs to be a culture for normal people,

1020
00:52:32,760 --> 00:52:35,839
Speaker 1: right It can't just be walling yourself off from whether

1021
00:52:35,880 --> 00:52:39,239
Speaker 1: it's like the Sean Combe p Diddy stuff of the

1022
00:52:39,280 --> 00:52:41,480
Speaker 1: world that's in the news cycle and you know, not

1023
00:52:41,520 --> 00:52:44,120
Speaker 1: wanting to be you know, have that enter your consciousness.

1024
00:52:44,120 --> 00:52:47,319
Speaker 1: But also we have to create content of our own.

1025
00:52:48,920 --> 00:52:52,600
Speaker 8: Absolutely. You know, again this is not to flatter you guys,

1026
00:52:52,680 --> 00:52:55,680
Speaker 8: but I think that you guys do this so well

1027
00:52:55,760 --> 00:52:58,239
Speaker 8: where you speak to normal people and they feel like

1028
00:52:58,280 --> 00:52:59,839
Speaker 8: they know you, and they feel like you, guys are

1029
00:53:00,640 --> 00:53:03,839
Speaker 8: You're not screaming at them, We're saying crazy things where

1030
00:53:03,960 --> 00:53:05,440
Speaker 8: you know, we're going to take a page out of

1031
00:53:05,440 --> 00:53:09,200
Speaker 8: that book and hopefully do the same on normally for

1032
00:53:09,640 --> 00:53:13,520
Speaker 8: you know, a similar audience. So I love what you

1033
00:53:13,560 --> 00:53:15,799
Speaker 8: guys do, and I think that that is exactly right.

1034
00:53:15,840 --> 00:53:19,080
Speaker 8: We need to engage people on the right in culture,

1035
00:53:19,200 --> 00:53:21,319
Speaker 8: and we need to have conversations, and we need to

1036
00:53:21,719 --> 00:53:23,960
Speaker 8: produce content, and we need to do all of that

1037
00:53:24,040 --> 00:53:26,919
Speaker 8: and not just leave them kind of hanging and say,

1038
00:53:27,160 --> 00:53:29,279
Speaker 8: you know, boycott this and boycott that.

1039
00:53:30,400 --> 00:53:34,520
Speaker 2: Mary Catherine, I'm going down to Tuscaloosa, Alabama, speaking of

1040
00:53:34,600 --> 00:53:39,960
Speaker 2: normally normally to watch your Georgia Bulldogs play against Alabama.

1041
00:53:40,040 --> 00:53:42,000
Speaker 2: I want to get your take on what you expect

1042
00:53:42,000 --> 00:53:45,279
Speaker 2: to happen in the game. But my thesis here, and

1043
00:53:45,320 --> 00:53:48,359
Speaker 2: I may be completely wrong. We'll see whether I'm right

1044
00:53:48,440 --> 00:53:53,440
Speaker 2: or wrong, is that college football fans, football fans in general,

1045
00:53:53,800 --> 00:53:57,799
Speaker 2: loom extra large in the battleground states. Your state of

1046
00:53:57,840 --> 00:54:01,640
Speaker 2: Georgia where you are right now, North Carolina. Condolences to

1047
00:54:01,680 --> 00:54:04,960
Speaker 2: North Carolina and NC State who both got absolutely obliterated,

1048
00:54:04,960 --> 00:54:07,040
Speaker 2: and you still have to root for the Carolina Panthers.

1049
00:54:07,040 --> 00:54:10,319
Speaker 2: But then you've got the big ten states, Wisconsin where

1050
00:54:10,360 --> 00:54:13,640
Speaker 2: I just was a couple of weeks ago, Michigan, Pennsylvania,

1051
00:54:14,080 --> 00:54:16,680
Speaker 2: what's going to happen, Georgia, Bama. Do you buy into

1052
00:54:16,719 --> 00:54:19,680
Speaker 2: me that quote unquote the normal football fan of America,

1053
00:54:19,719 --> 00:54:21,680
Speaker 2: which I think it's fair to say Kamala tried to

1054
00:54:21,719 --> 00:54:25,560
Speaker 2: appeal to with Walls, is going to break Trump pretty

1055
00:54:25,600 --> 00:54:29,280
Speaker 2: significantly over Kamala. I'm curious how you would break that down.

1056
00:54:30,120 --> 00:54:32,359
Speaker 7: Look, I do think that's true, and I think this

1057
00:54:32,440 --> 00:54:34,680
Speaker 7: is a gap in understanding for a lot of people

1058
00:54:34,760 --> 00:54:36,560
Speaker 7: in Washington and a lot of people in sort of

1059
00:54:36,600 --> 00:54:42,319
Speaker 7: elite media that don't understand how important football is to

1060
00:54:42,560 --> 00:54:46,200
Speaker 7: so very many people in this country and have some

1061
00:54:46,239 --> 00:54:48,040
Speaker 7: trouble relating to it. There are a few people who

1062
00:54:48,080 --> 00:54:50,840
Speaker 7: maybe went to an SEC school and get it, but

1063
00:54:50,880 --> 00:54:53,000
Speaker 7: they're few and far between. So I think you're right

1064
00:54:53,040 --> 00:54:57,879
Speaker 7: that this is sort of a normy voter block, right

1065
00:54:58,000 --> 00:54:59,320
Speaker 7: of huge football fans.

1066
00:54:59,360 --> 00:55:00,959
Speaker 2: That's why Trump going to try to.

1067
00:55:00,920 --> 00:55:02,600
Speaker 7: Go to this game. Is is he still going?

1068
00:55:02,600 --> 00:55:03,319
Speaker 2: I think they were working.

1069
00:55:03,480 --> 00:55:05,560
Speaker 1: Yeah. My understanding is he's going to be there. Yes.

1070
00:55:05,880 --> 00:55:07,440
Speaker 2: My understanding is they're going to He's going to be

1071
00:55:07,480 --> 00:55:09,200
Speaker 2: in the stadium. He's going to be at this game,

1072
00:55:09,239 --> 00:55:11,560
Speaker 2: which is, for those of you who are not football fans,

1073
00:55:11,640 --> 00:55:13,879
Speaker 2: the biggest college football game of the year so far.

1074
00:55:14,080 --> 00:55:17,600
Speaker 2: It's going to be a massive earthquake like style game. Right,

1075
00:55:17,680 --> 00:55:19,440
Speaker 2: So this is why he's going.

1076
00:55:20,320 --> 00:55:22,239
Speaker 7: And as far as what's going to happen, I know

1077
00:55:22,400 --> 00:55:28,440
Speaker 7: for sure that I will be extremely nervous and I

1078
00:55:28,480 --> 00:55:30,440
Speaker 7: don't know if I could handle being there in person.

1079
00:55:30,480 --> 00:55:32,040
Speaker 7: I would gladly take a ticket, but I don't know

1080
00:55:32,040 --> 00:55:34,520
Speaker 7: if I can handle it. I will be at my house, cozy,

1081
00:55:34,760 --> 00:55:37,239
Speaker 7: trying to deal with my nerves. We have a bit

1082
00:55:37,239 --> 00:55:40,400
Speaker 7: of a we have a great program under Kurby Smart

1083
00:55:40,400 --> 00:55:42,319
Speaker 7: and a little bit of a mental block for many

1084
00:55:42,400 --> 00:55:46,359
Speaker 7: years with taking on Alabama. Almost every time we take

1085
00:55:46,360 --> 00:55:48,719
Speaker 7: them on, so I'm always concerned.

1086
00:55:50,080 --> 00:55:52,719
Speaker 1: Ladies laid out good luck to you with the podcast

1087
00:55:52,760 --> 00:55:56,040
Speaker 1: coming out tomorrow normally, thanks, I think you should normally

1088
00:55:56,080 --> 00:55:58,320
Speaker 1: be listening to it. Check it out Mary Katherine Ham

1089
00:55:58,360 --> 00:56:03,400
Speaker 1: and Carol Markowitz. Thanks ladies, thank you very much. You know,

1090
00:56:03,440 --> 00:56:05,840
Speaker 1: speaking of moms, we just talked to two awesome ones.

1091
00:56:06,239 --> 00:56:07,600
Speaker 1: I want to take a moment to tell you about

1092
00:56:07,640 --> 00:56:11,439
Speaker 1: a very pro mom organization. It's called Preborn. The work

1093
00:56:11,480 --> 00:56:15,160
Speaker 1: being accomplished at Preborn is focused on saving unborn babies

1094
00:56:15,200 --> 00:56:18,759
Speaker 1: and helping moms to be I'm in the fight alongside them.

1095
00:56:18,960 --> 00:56:22,880
Speaker 1: They have clinics nationwide that welcome pregnant mothers making a

1096
00:56:22,920 --> 00:56:26,640
Speaker 1: decision between life and abortion for their unborn child. Every day,

1097
00:56:26,680 --> 00:56:30,880
Speaker 1: Preborn's network of clinics rescues, on average, over two hundred babies,

1098
00:56:30,920 --> 00:56:34,680
Speaker 1: while surrounding expectant mothers with love, support, and offers them

1099
00:56:34,680 --> 00:56:38,840
Speaker 1: a free ultrasound. Because that ultrasound experience provides a forever

1100
00:56:38,880 --> 00:56:41,920
Speaker 1: bond between a mother and her unborn child and leads

1101
00:56:41,960 --> 00:56:46,960
Speaker 1: to a decision for life, so often support this nonprofit organization, Preborn,

1102
00:56:47,120 --> 00:56:49,520
Speaker 1: in whatever way you can. For just twenty eight dollars,

1103
00:56:50,000 --> 00:56:52,480
Speaker 1: you can sponsor an ultrasound and give that mother the

1104
00:56:52,600 --> 00:56:57,080
Speaker 1: chance to choose life. An ultrasound doubles a baby's chance

1105
00:56:57,120 --> 00:57:01,400
Speaker 1: at life. To donate securely, dial pound two five zero

1106
00:57:01,480 --> 00:57:05,080
Speaker 1: and say the keyword baby. That's pound two five zero,

1107
00:57:05,320 --> 00:57:08,919
Speaker 1: say baby. Or go to preborn dot com slash buck

1108
00:57:09,000 --> 00:57:12,319
Speaker 1: that's preborn dot com slash b U c.

1109
00:57:12,600 --> 00:57:18,480
Speaker 5: K news and politics, but also a little comic relief.

1110
00:57:18,560 --> 00:57:20,560
Speaker 1: Clay Travis and Buck Sexton.

1111
00:57:21,000 --> 00:57:24,320
Speaker 5: Find them on the free iHeartRadio app or wherever you

1112
00:57:24,440 --> 00:57:25,560
Speaker 5: get your podcasts.