1
00:00:00,120 --> 00:00:03,320
Speaker 1: Welcome to today's edition of the Clay Travis and Buck

2
00:00:03,360 --> 00:00:08,360
Speaker 1: Sexton Show podcast. Welcome in Thursday edition, Clay Travis buck

3
00:00:08,400 --> 00:00:11,760
Speaker 1: Sexton Show. Appreciate all of you rolling with us as

4
00:00:11,840 --> 00:00:15,840
Speaker 1: we are diving into the biggest stories of the day

5
00:00:16,680 --> 00:00:20,479
Speaker 1: and beyond probably, but also it's going to have a

6
00:00:20,480 --> 00:00:22,840
Speaker 1: lot of fun with you as we break down everything

7
00:00:22,920 --> 00:00:25,960
Speaker 1: going on in the larger universe. And right off the

8
00:00:26,000 --> 00:00:29,360
Speaker 1: top here, we had a big conversation about this yesterday,

9
00:00:29,920 --> 00:00:33,239
Speaker 1: the fact that there was a leak to CNN and

10
00:00:33,320 --> 00:00:38,240
Speaker 1: The New York Times that suggested the attack on Saturday

11
00:00:38,360 --> 00:00:42,879
Speaker 1: evening here in the United States on Tehran was not

12
00:00:43,240 --> 00:00:48,400
Speaker 1: actually effective, and that has been pushed back on aggressively.

13
00:00:49,000 --> 00:00:53,080
Speaker 1: And it started really early this morning at eight am Eastern,

14
00:00:53,520 --> 00:00:56,840
Speaker 1: when Pete Hegseth came out and just went to town

15
00:00:57,160 --> 00:01:00,760
Speaker 1: on the press and the reporting surrounded this. Now, I

16
00:01:00,760 --> 00:01:02,400
Speaker 1: want to play some of these cuts because it was

17
00:01:02,440 --> 00:01:06,240
Speaker 1: a pretty intense press conference, but I'll start with a

18
00:01:06,280 --> 00:01:10,760
Speaker 1: conversation that we had yesterday, which was about the challenge

19
00:01:10,840 --> 00:01:17,280
Speaker 1: the difficulty of finding out who leaked this information, particularly

20
00:01:17,319 --> 00:01:20,400
Speaker 1: as it appears that it may well not have been accurate.

21
00:01:21,319 --> 00:01:25,800
Speaker 1: So Buck, you worked in the intelligence community when you

22
00:01:26,000 --> 00:01:30,280
Speaker 1: saw this report was leaked, did you think initially, hey,

23
00:01:30,360 --> 00:01:33,919
Speaker 1: this is kind of unheard of. Did it totally seem

24
00:01:34,360 --> 00:01:38,399
Speaker 1: maybe not a positive thing, but not an unexpected thing.

25
00:01:39,000 --> 00:01:41,880
Speaker 1: And I know we talked about this some yesterday, but

26
00:01:42,000 --> 00:01:45,160
Speaker 1: what are the difficulties that would be inherent in figuring

27
00:01:45,200 --> 00:01:49,040
Speaker 1: out who actually leaked to this because it is certainly

28
00:01:49,080 --> 00:01:50,200
Speaker 1: classified information.

29
00:01:50,960 --> 00:01:53,560
Speaker 2: Well, the fact that somebody would take this to the

30
00:01:53,640 --> 00:01:58,040
Speaker 2: press so early on in the process and that it

31
00:01:58,120 --> 00:02:00,840
Speaker 2: was already known to be a low confidence assessment just

32
00:02:00,920 --> 00:02:05,200
Speaker 2: means somebody wanted to blunt the narrative of Trump is

33
00:02:05,320 --> 00:02:10,120
Speaker 2: just kicking ass and making excellent decisions as commander in chief.

34
00:02:10,520 --> 00:02:13,200
Speaker 2: And this war those who said, it's not even a war,

35
00:02:13,240 --> 00:02:15,720
Speaker 2: it's a military strike, okay, you know, think of all

36
00:02:15,760 --> 00:02:19,520
Speaker 2: the countries that we have had military operations in that

37
00:02:19,560 --> 00:02:22,239
Speaker 2: we would not consider ourselves to be at war or

38
00:02:22,360 --> 00:02:23,320
Speaker 2: in the midst of a war.

39
00:02:24,360 --> 00:02:26,760
Speaker 3: But Clay, this was meant.

40
00:02:26,639 --> 00:02:30,320
Speaker 2: To have a political ramification, because if you wanted this

41
00:02:30,400 --> 00:02:34,040
Speaker 2: to have US national security in mind, if you wanted

42
00:02:34,080 --> 00:02:37,240
Speaker 2: to be somebody said, hey, guys, hey, I'm worried about

43
00:02:37,280 --> 00:02:40,520
Speaker 2: the reactors. I'm worried that there could still be a

44
00:02:40,560 --> 00:02:43,520
Speaker 2: lot more here. We didn't get enough. What you would

45
00:02:43,560 --> 00:02:47,400
Speaker 2: want is to wait until you pull together all of

46
00:02:47,440 --> 00:02:51,160
Speaker 2: the best sources, get it rock solid, and then work

47
00:02:51,200 --> 00:02:54,320
Speaker 2: its way up the chain through the CIA director or

48
00:02:54,360 --> 00:02:57,560
Speaker 2: the DiiA director in this case, and then at that

49
00:02:57,800 --> 00:02:59,919
Speaker 2: point you know you would have done your due diligence.

50
00:03:00,000 --> 00:03:02,760
Speaker 2: This wasn't a due diligence moment. This was somebody who

51
00:03:02,800 --> 00:03:08,120
Speaker 2: decided I'm going to be the one who reigns on

52
00:03:08,120 --> 00:03:11,280
Speaker 2: Trump's parade. Here, this was an individual. This was a

53
00:03:11,320 --> 00:03:14,160
Speaker 2: deep stater. This is someone who did not have the

54
00:03:14,200 --> 00:03:17,359
Speaker 2: interests of the United States in mind, but the interests

55
00:03:17,440 --> 00:03:22,919
Speaker 2: of a very bitter and weak and feckless looking Democrat

56
00:03:23,080 --> 00:03:26,920
Speaker 2: machine in mind, and hope to take away some of

57
00:03:26,960 --> 00:03:30,960
Speaker 2: the sense of a bulliance and some of the congratulations

58
00:03:31,360 --> 00:03:33,520
Speaker 2: that have been going around, not just for Trump's decision,

59
00:03:33,560 --> 00:03:36,520
Speaker 2: but for the men and women who flew the airstrikes themselves,

60
00:03:36,520 --> 00:03:39,280
Speaker 2: for the Pentagon pulling this off, the intelligence community for

61
00:03:39,600 --> 00:03:41,760
Speaker 2: having these sites mapped out play.

62
00:03:41,800 --> 00:03:44,200
Speaker 3: It's a big win. But this would to me, this

63
00:03:44,280 --> 00:03:45,600
Speaker 3: is a bit like saying.

64
00:03:46,000 --> 00:03:49,560
Speaker 2: Somebody from within the intelligence community after the bin laden

65
00:03:49,640 --> 00:03:53,840
Speaker 2: raid is raising concerns that there was really, you know,

66
00:03:54,120 --> 00:03:58,240
Speaker 2: no document exploitation that came out of that raid, or

67
00:03:58,320 --> 00:03:59,920
Speaker 2: maybe that we didn't even get bin laden.

68
00:04:00,520 --> 00:04:01,880
Speaker 3: So why would you do that.

69
00:04:02,720 --> 00:04:04,520
Speaker 2: You would only do that if you were trying to

70
00:04:04,600 --> 00:04:06,840
Speaker 2: hurt Now, of course that didn't happen because somehow our

71
00:04:06,880 --> 00:04:09,320
Speaker 2: team doesn't do those kinds of leaks. That's always a Democrat,

72
00:04:09,400 --> 00:04:11,760
Speaker 2: left wing thing when there's a leak of classified to

73
00:04:11,800 --> 00:04:12,800
Speaker 2: hurt a commander in chief.

74
00:04:13,040 --> 00:04:14,000
Speaker 1: But that's what this was.

75
00:04:14,040 --> 00:04:16,680
Speaker 2: It's very clear there's no way that this person could

76
00:04:16,680 --> 00:04:21,240
Speaker 2: have had the level of visibility necessary to with a

77
00:04:21,360 --> 00:04:22,880
Speaker 2: Remember it's a low confidence assessment.

78
00:04:22,920 --> 00:04:23,760
Speaker 3: Clay I was.

79
00:04:23,800 --> 00:04:28,920
Speaker 2: In the room many times with people from d IA, CIA, NSA,

80
00:04:29,040 --> 00:04:31,080
Speaker 2: go down the list all of them, and there were

81
00:04:31,240 --> 00:04:35,920
Speaker 2: squabbling over who's right about very important and we were

82
00:04:35,960 --> 00:04:37,920
Speaker 2: at war, right, we were in the midst of a war,

83
00:04:38,440 --> 00:04:41,680
Speaker 2: and you know things like, hey, could a surge in

84
00:04:41,760 --> 00:04:44,839
Speaker 2: Baghdad work to stabilize things? Let me tell you something,

85
00:04:45,360 --> 00:04:48,680
Speaker 2: a lot of fighting and dissenting voices over that. The

86
00:04:48,720 --> 00:04:51,200
Speaker 2: notion that one person has the keys to the kingdom

87
00:04:51,480 --> 00:04:57,200
Speaker 2: on the damage assessment is absurd. It's just a political hit,

88
00:04:57,520 --> 00:04:59,400
Speaker 2: and that's why they should go after the leaker.

89
00:05:00,160 --> 00:05:02,440
Speaker 1: All right, so let me play some of these cuts.

90
00:05:02,480 --> 00:05:05,880
Speaker 1: This was from the Pentagon earlier today. Secretary of Defense

91
00:05:05,920 --> 00:05:09,120
Speaker 1: Pete Hutt Hegseth. I do give a lot of credit.

92
00:05:09,160 --> 00:05:11,960
Speaker 1: We've talked about this on the program. They made everybody

93
00:05:11,960 --> 00:05:15,800
Speaker 1: get there early eight am Eastern time start for this

94
00:05:15,960 --> 00:05:19,960
Speaker 1: to dominate the news cycle for the day. Here's hegseet

95
00:05:20,320 --> 00:05:25,479
Speaker 1: blasting the press in particular for these leaks. This is

96
00:05:25,560 --> 00:05:26,320
Speaker 1: cut too.

97
00:05:26,400 --> 00:05:31,520
Speaker 4: Because you, and I mean specifically you, the press, specifically

98
00:05:31,920 --> 00:05:36,640
Speaker 4: you the press corps, because you cheer against Trump so hard.

99
00:05:37,279 --> 00:05:39,440
Speaker 4: It's like in your DNA and in your blood to

100
00:05:39,520 --> 00:05:42,240
Speaker 4: cheer against Trump because you want him not to.

101
00:05:42,200 --> 00:05:43,480
Speaker 1: Be successful so bad.

102
00:05:44,560 --> 00:05:47,760
Speaker 4: You have to cheer against the efficacy of these strikes.

103
00:05:48,120 --> 00:05:51,280
Speaker 4: You have to hope maybe they weren't effective, Maybe the

104
00:05:51,320 --> 00:05:52,080
Speaker 4: way the Trump.

105
00:05:51,839 --> 00:05:56,880
Speaker 1: Administration is representative isn't true. So let's take half truths.

106
00:05:56,960 --> 00:06:02,160
Speaker 5: Spun information, leaked information, and then spin it, spin it

107
00:06:02,240 --> 00:06:05,080
Speaker 5: in every way we can to try to cause doubt

108
00:06:05,960 --> 00:06:08,920
Speaker 5: and manipulate the mind, the public mind over whether or

109
00:06:08,960 --> 00:06:12,040
Speaker 5: not our brave pilots were successful.

110
00:06:12,560 --> 00:06:13,440
Speaker 1: How many stories have.

111
00:06:13,400 --> 00:06:16,000
Speaker 4: Been written about how hard it is to I don't

112
00:06:16,000 --> 00:06:17,760
Speaker 4: know fly a plane for thirty six hours.

113
00:06:18,960 --> 00:06:20,279
Speaker 1: Has MSNBC done.

114
00:06:20,160 --> 00:06:23,280
Speaker 4: That story as Fox? Have we done the story how

115
00:06:23,279 --> 00:06:25,240
Speaker 4: hard that is? Have we done it two or three

116
00:06:25,240 --> 00:06:27,800
Speaker 4: times so that American people understand, How about how difficult

117
00:06:27,800 --> 00:06:29,880
Speaker 4: it is to shoot a drone from an F fifteen

118
00:06:29,960 --> 00:06:31,839
Speaker 4: or sixteen or F twenty two or F thirty five,

119
00:06:32,480 --> 00:06:34,640
Speaker 4: or what it's like to man a Patriot battery, or

120
00:06:34,640 --> 00:06:37,240
Speaker 4: how hard it is to refuel mid air. Giving the

121
00:06:37,279 --> 00:06:40,800
Speaker 4: American people an understanding of how complex and sophisticated this

122
00:06:40,880 --> 00:06:44,280
Speaker 4: mission really was. There are so many aspects of what

123
00:06:44,279 --> 00:06:47,479
Speaker 4: our brave men and women did that because of the

124
00:06:47,520 --> 00:06:51,960
Speaker 4: hatred of this press, corps are undermined because your people

125
00:06:52,000 --> 00:06:55,440
Speaker 4: are trying to leak and spin that it wasn't successful.

126
00:06:55,480 --> 00:06:58,760
Speaker 1: It's your responders. Okay, so that's one. Let's continue. This

127
00:06:58,880 --> 00:07:02,560
Speaker 1: sounds a little bit like Fox and Friends or a

128
00:07:02,640 --> 00:07:05,479
Speaker 1: hit that Pete Hegseth is doing on Fox News. And

129
00:07:05,520 --> 00:07:08,760
Speaker 1: it's one reason I think that Trump wanted him in

130
00:07:08,800 --> 00:07:12,800
Speaker 1: this position because he is a very talented communicator, and

131
00:07:12,960 --> 00:07:17,240
Speaker 1: that matters in this world where you are really having

132
00:07:17,240 --> 00:07:19,720
Speaker 1: to lace on the gloves and go head to head

133
00:07:19,760 --> 00:07:23,640
Speaker 1: with the press every single day. Here's cut three more

134
00:07:23,720 --> 00:07:27,840
Speaker 1: on Hegseth saying, the classified information, as you said, Buck,

135
00:07:28,080 --> 00:07:31,800
Speaker 1: is leaked to try and harm Trump cut three time

136
00:07:31,800 --> 00:07:32,440
Speaker 1: and time again.

137
00:07:32,840 --> 00:07:37,080
Speaker 4: Classified information is leaked or pedled for political purposes, to

138
00:07:37,080 --> 00:07:39,120
Speaker 4: try to make the president look bad. And what's really

139
00:07:39,120 --> 00:07:42,440
Speaker 4: happening is you're undermining the success of incredible B two

140
00:07:42,440 --> 00:07:46,280
Speaker 4: pilots and incredible F thirty five pilots, and incredible refuelers

141
00:07:46,400 --> 00:07:50,720
Speaker 4: and incredible air defenders who accomplish their mission set back

142
00:07:50,840 --> 00:07:54,120
Speaker 4: a nuclear program in ways that other presidents would have dreamed.

143
00:07:54,640 --> 00:07:55,840
Speaker 1: How about we celebrate that.

144
00:07:56,840 --> 00:07:59,000
Speaker 4: How about we talked about how special America is that

145
00:07:59,040 --> 00:08:01,000
Speaker 4: we only we have these capabilities.

146
00:08:01,880 --> 00:08:02,880
Speaker 1: I think it's too much to ask.

147
00:08:02,960 --> 00:08:05,560
Speaker 3: Unfortunately for the fake news, so we're used.

148
00:08:05,360 --> 00:08:07,840
Speaker 4: To that, but we also have an opportunity to stand

149
00:08:07,840 --> 00:08:11,000
Speaker 4: at the podium and read the truth of what's really happening.

150
00:08:11,280 --> 00:08:12,000
Speaker 1: And the reality is.

151
00:08:12,000 --> 00:08:13,840
Speaker 4: You want to call it destroyed, you want to call

152
00:08:13,880 --> 00:08:16,080
Speaker 4: it defeated, you want to call it obliterated.

153
00:08:16,600 --> 00:08:17,800
Speaker 1: Choose your word.

154
00:08:18,600 --> 00:08:21,560
Speaker 4: This was an historically successful attack and we should celebrate

155
00:08:21,600 --> 00:08:24,840
Speaker 4: as Americans, and it gives us a chance to have peace,

156
00:08:25,320 --> 00:08:27,680
Speaker 4: chance to have a deal, and an opportunity to prevent

157
00:08:28,000 --> 00:08:30,600
Speaker 4: a nuclear Iran, which is something President Trump talked about

158
00:08:30,600 --> 00:08:31,640
Speaker 4: for twenty years.

159
00:08:32,559 --> 00:08:35,760
Speaker 1: I mean guns blazing here. I don't think we mentioned

160
00:08:36,160 --> 00:08:39,200
Speaker 1: the New York Times getting upset about the fact that

161
00:08:39,840 --> 00:08:44,600
Speaker 1: heg Seth praised our boys, and so he was actually asked,

162
00:08:45,280 --> 00:08:47,840
Speaker 1: we have this cut. And I couldn't believe he was

163
00:08:47,920 --> 00:08:53,400
Speaker 1: actually asked, why not acknowledge female pilots that participated instead

164
00:08:53,400 --> 00:08:55,120
Speaker 1: of congratulating the boys?

165
00:08:55,360 --> 00:08:58,640
Speaker 4: This is cut for why not acknowledge the female pilots

166
00:08:58,640 --> 00:09:02,160
Speaker 4: that also participated in this mission. The early messages that

167
00:09:02,200 --> 00:09:04,880
Speaker 4: you sent out only congratulated the boys. So when I

168
00:09:04,880 --> 00:09:07,199
Speaker 4: say something like our boys and bombers, see, this is

169
00:09:07,200 --> 00:09:08,320
Speaker 4: the kind of thing the press does.

170
00:09:08,400 --> 00:09:08,559
Speaker 1: Right.

171
00:09:08,800 --> 00:09:12,319
Speaker 4: Of course, the chairman mentioned a female bomber pilot. That's fantastic.

172
00:09:12,440 --> 00:09:15,480
Speaker 4: She's fantastic, She's a hero. I want more female bomber pilots.

173
00:09:15,480 --> 00:09:17,319
Speaker 4: I hope the men and women of our country sign

174
00:09:17,400 --> 00:09:19,280
Speaker 4: up to do such brave and audacious things.

175
00:09:19,640 --> 00:09:21,640
Speaker 1: But when you spin it as because I say our

176
00:09:21,679 --> 00:09:22,040
Speaker 1: boys and.

177
00:09:22,040 --> 00:09:25,040
Speaker 4: Bombers is a common phrase, I'll keep saying things like that,

178
00:09:25,320 --> 00:09:28,200
Speaker 4: whether they're men or women. Very proud of that female pilot,

179
00:09:28,360 --> 00:09:30,560
Speaker 4: just like I'm very proud of those male pilots, and

180
00:09:30,600 --> 00:09:33,120
Speaker 4: I don't care if it's a male or a female

181
00:09:33,120 --> 00:09:35,640
Speaker 4: in that cockpit, and the American people don't care. But

182
00:09:35,679 --> 00:09:40,120
Speaker 4: it's the obsession with race and gender in this department

183
00:09:40,360 --> 00:09:41,400
Speaker 4: that's changed priorities.

184
00:09:41,360 --> 00:09:42,880
Speaker 1: And we don't do that anymore. We don't play your

185
00:09:42,880 --> 00:09:46,400
Speaker 1: little games. I love this. I mean, I can't believe

186
00:09:46,480 --> 00:09:49,120
Speaker 1: that's a real question he got to ask. But it's

187
00:09:49,160 --> 00:09:49,960
Speaker 1: good that we see that.

188
00:09:50,000 --> 00:09:53,280
Speaker 2: This is what the press still pretends is their job

189
00:09:53,400 --> 00:09:56,760
Speaker 2: right is to push They're just asking questions. We'll get

190
00:09:56,760 --> 00:09:58,960
Speaker 2: to Jake Tapper's latest on that. Really they're always pushing

191
00:09:58,960 --> 00:10:02,000
Speaker 2: an agenda. No one thinks that Pete Hegseth was undermining

192
00:10:02,040 --> 00:10:04,840
Speaker 2: any woman who This is a bit like saying, hey,

193
00:10:05,040 --> 00:10:07,360
Speaker 2: when you when you were talking, you said, hey, you guys,

194
00:10:07,480 --> 00:10:10,760
Speaker 2: great job. Why didn't you say you guys and girls?

195
00:10:10,800 --> 00:10:14,600
Speaker 2: I mean, it's absurd, it's it's childish, it's it's focused

196
00:10:14,640 --> 00:10:17,360
Speaker 2: on nothing. But I also think that what the shows

197
00:10:17,360 --> 00:10:21,959
Speaker 2: you play is in these you know, the media, the

198
00:10:22,480 --> 00:10:25,360
Speaker 2: non Fox media and the Democrat media, the non aligned

199
00:10:26,240 --> 00:10:29,280
Speaker 2: leftist media. They have been making a lot of jokes

200
00:10:29,320 --> 00:10:32,479
Speaker 2: about how Fox News essentially has staffed this Trump administration.

201
00:10:33,080 --> 00:10:36,120
Speaker 2: And what's interesting is, yeah, guess what. Now You've got

202
00:10:36,120 --> 00:10:38,760
Speaker 2: people who are both qualified to do the job, people

203
00:10:38,840 --> 00:10:43,040
Speaker 2: like Dan Bongino and and Hegseeth and others who are

204
00:10:43,080 --> 00:10:46,119
Speaker 2: also really good at media and comms themselves.

205
00:10:46,520 --> 00:10:48,839
Speaker 3: Yes, and so if you think back to.

206
00:10:48,840 --> 00:10:51,360
Speaker 2: Other times, we've had people who are running, you know,

207
00:10:51,440 --> 00:10:55,040
Speaker 2: Department of Defense, We've had people who were in these

208
00:10:55,160 --> 00:10:57,480
Speaker 2: kinds of cabinet level position, Secretary of Say, look look

209
00:10:57,480 --> 00:11:00,280
Speaker 2: at Secretary of Say Rubio. I mean that guy might

210
00:11:00,320 --> 00:11:02,400
Speaker 2: as well have been a Fox contributor for the last decade.

211
00:11:02,440 --> 00:11:04,280
Speaker 2: He's been on Fox, you know, as much as anybody.

212
00:11:05,000 --> 00:11:07,720
Speaker 2: They're good at this, and so the ability that the

213
00:11:07,760 --> 00:11:10,800
Speaker 2: media has to attack them, trip them up, undermine them,

214
00:11:11,240 --> 00:11:14,400
Speaker 2: and then focus on that instead of what's actually happening

215
00:11:14,840 --> 00:11:18,240
Speaker 2: is vastly diminished. I mean it's almost non existent at

216
00:11:18,240 --> 00:11:18,760
Speaker 2: this point.

217
00:11:19,080 --> 00:11:22,840
Speaker 1: Can you imagine being a Pentagon News reporter and we

218
00:11:23,040 --> 00:11:25,760
Speaker 1: just had the strike that we did on Iran and

219
00:11:25,840 --> 00:11:28,960
Speaker 1: you get a limited amount of time to ask questions

220
00:11:29,200 --> 00:11:32,040
Speaker 1: and a limited amount of things that you can even

221
00:11:32,080 --> 00:11:34,640
Speaker 1: ask about because they're only going to be whatever it is.

222
00:11:34,720 --> 00:11:37,520
Speaker 1: Five six seven people called on that. That would be

223
00:11:37,600 --> 00:11:41,040
Speaker 1: the thing that you went in as a Pentagon reporter

224
00:11:41,640 --> 00:11:45,440
Speaker 1: to focus on was the fact that one female was

225
00:11:45,480 --> 00:11:47,800
Speaker 1: there and said when the when he said the boys

226
00:11:47,840 --> 00:11:49,840
Speaker 1: in the planes or whatever the heck used to be,

227
00:11:50,240 --> 00:11:52,439
Speaker 1: that that would be your focus. It even is stunning

228
00:11:52,440 --> 00:11:52,640
Speaker 1: to me.

229
00:11:52,760 --> 00:11:56,520
Speaker 2: Still this all makes sense, though, because their job. If

230
00:11:56,559 --> 00:11:58,560
Speaker 2: you work for the Washington Post and you're in the

231
00:11:58,559 --> 00:12:01,160
Speaker 2: Pentagon briefing room, or work for the New York Times

232
00:12:01,200 --> 00:12:03,840
Speaker 2: and you're in the White House, the only way you're

233
00:12:03,840 --> 00:12:06,880
Speaker 2: going to get any attention and that your readership, which

234
00:12:06,920 --> 00:12:10,760
Speaker 2: is hyper partisan, is going to like your reporting is

235
00:12:10,840 --> 00:12:15,920
Speaker 2: if you manage to attack successfully, get them to stumble,

236
00:12:16,520 --> 00:12:18,080
Speaker 2: get to pull some sound bite.

237
00:12:18,440 --> 00:12:20,160
Speaker 1: They don't actually care about the information.

238
00:12:20,880 --> 00:12:25,360
Speaker 2: They don't They're not there to ask relevant, reasonable questions

239
00:12:25,640 --> 00:12:30,560
Speaker 2: and get back objective data for the American people. They

240
00:12:30,559 --> 00:12:33,880
Speaker 2: are there to be partisan attack dogs, and so if

241
00:12:33,880 --> 00:12:37,080
Speaker 2: they don't do that, they're not actually serving the purposes

242
00:12:37,120 --> 00:12:37,720
Speaker 2: of their paper.

243
00:12:38,880 --> 00:12:42,000
Speaker 1: I get the part as an attack dog thing, but

244
00:12:42,480 --> 00:12:48,000
Speaker 1: to think that your audience is obsessed because he used

245
00:12:48,000 --> 00:12:50,520
Speaker 1: the word boys and did you see.

246
00:12:50,280 --> 00:12:53,240
Speaker 3: Who asked that question? Did you see who asked that question?

247
00:12:53,440 --> 00:12:56,960
Speaker 2: She's been wagging her finger at people for saying you

248
00:12:57,000 --> 00:13:00,000
Speaker 2: guys for the last twenty years, I guarantee you.

249
00:13:01,240 --> 00:13:03,720
Speaker 1: I just I can't believe that that is real. And

250
00:13:03,760 --> 00:13:07,520
Speaker 1: by the way, the New York Times got savaged in

251
00:13:07,559 --> 00:13:11,520
Speaker 1: their live chat because they had a male reporter who said,

252
00:13:11,679 --> 00:13:15,480
Speaker 1: in real time, Hey, well, actually you know there was

253
00:13:15,520 --> 00:13:19,000
Speaker 1: a girl. First of all, when the idea that boys

254
00:13:19,000 --> 00:13:23,840
Speaker 1: and girls or guys or we all understand the concept,

255
00:13:23,920 --> 00:13:26,360
Speaker 1: I mean, I imagine it comes from the boys in the

256
00:13:26,400 --> 00:13:29,720
Speaker 1: bombers is also a phrase boys in the boat, which

257
00:13:29,920 --> 00:13:32,240
Speaker 1: was one of the best selling books, A great book

258
00:13:32,800 --> 00:13:36,679
Speaker 1: by the way, But is there are there any women

259
00:13:36,760 --> 00:13:39,720
Speaker 1: that were actually offended by that? I just the fact

260
00:13:39,760 --> 00:13:42,160
Speaker 1: that that would be a question that's asked of the

261
00:13:42,200 --> 00:13:46,320
Speaker 1: Secretary of Defense in a limited public availability situation where

262
00:13:46,360 --> 00:13:49,840
Speaker 1: he doesn't answer a lot of questions, is actually even

263
00:13:49,920 --> 00:13:53,120
Speaker 1: for left wing media, I think a huge embarrassment for them.

264
00:13:53,480 --> 00:13:57,200
Speaker 1: Look heads up, everybody. Another massive data breach has happened.

265
00:13:57,320 --> 00:14:04,600
Speaker 1: Sixteen billion, team billion log in credentials have been leaked Apple, Google,

266
00:14:04,760 --> 00:14:10,880
Speaker 1: Facebook password stolen using malware, sixteen billion of them. Eventually

267
00:14:10,960 --> 00:14:13,560
Speaker 1: they're going to end up on the dark web. Important

268
00:14:13,600 --> 00:14:17,400
Speaker 1: to understand how cybercrime and identity theft are affecting our lives.

269
00:14:17,480 --> 00:14:21,560
Speaker 1: Lots of places can accidentally expose your personal info. That's

270
00:14:21,560 --> 00:14:24,840
Speaker 1: why LifeLock monitors millions of data points a second for

271
00:14:24,960 --> 00:14:28,680
Speaker 1: risk to your identity. And remember, when you're a LifeLock member,

272
00:14:29,080 --> 00:14:31,760
Speaker 1: you can become a victim of identity theft, but you

273
00:14:31,800 --> 00:14:36,680
Speaker 1: will immediately have a dedicated US based LifeLock restoration specialist

274
00:14:37,040 --> 00:14:39,800
Speaker 1: to fix it, guaranteed or your money back. Join now,

275
00:14:40,160 --> 00:14:43,400
Speaker 1: say forty percent off your first year with my name

276
00:14:43,520 --> 00:14:47,200
Speaker 1: Clay as the promo code. That's one eight hundred LifeLock

277
00:14:47,280 --> 00:14:51,160
Speaker 1: To go online to LifeLock dot com promo code Clay

278
00:14:51,280 --> 00:15:04,480
Speaker 1: for forty percent off. That's LifeLock dot Com promo code Clay. Hey, Buck,

279
00:15:04,640 --> 00:15:06,440
Speaker 1: one of my kids called me an unk the other day,

280
00:15:06,560 --> 00:15:09,920
Speaker 1: and unk yep slang evidently for not being hip, being

281
00:15:09,920 --> 00:15:10,640
Speaker 1: an old dude.

282
00:15:10,720 --> 00:15:12,520
Speaker 3: So how do we ununk?

283
00:15:12,560 --> 00:15:16,000
Speaker 1: You? Get more people to subscribe to our YouTube channel.

284
00:15:16,040 --> 00:15:17,440
Speaker 1: At least that's what my kids tell me.

285
00:15:17,680 --> 00:15:20,000
Speaker 2: That's simple enough. Just search the Klay, Travis and Buck

286
00:15:20,040 --> 00:15:22,160
Speaker 2: Sexton show and hit the subscribe button.

287
00:15:22,400 --> 00:15:25,240
Speaker 1: Takes less than five seconds to help ununk me.

288
00:15:25,520 --> 00:15:27,480
Speaker 3: Do it for Clay, do it for freedom, and get

289
00:15:27,520 --> 00:15:29,880
Speaker 3: great content while you're there. The Klay Travis en Buck

290
00:15:29,920 --> 00:15:31,600
Speaker 3: Sexton Show YouTube channel.

291
00:15:31,920 --> 00:15:38,280
Speaker 2: Mamadanni Mania sweeping the Democrats all across this land of ours,

292
00:15:38,600 --> 00:15:41,480
Speaker 2: and uh, we all know from yesterday that this guy,

293
00:15:41,840 --> 00:15:48,320
Speaker 2: Zoran Mamadani is the Democrat nominee for the mayor of

294
00:15:48,760 --> 00:15:52,200
Speaker 2: New York City. Now that's not a done deal. There

295
00:15:52,240 --> 00:15:59,760
Speaker 2: are some long bomb in the end zone hopes that

296
00:16:00,600 --> 00:16:03,960
Speaker 2: maybe Eric Adams could pull this off, or maybe there's

297
00:16:03,960 --> 00:16:07,360
Speaker 2: some Cuomo deal, although I think Cuomo now is just

298
00:16:07,400 --> 00:16:13,080
Speaker 2: considered a loser right the comeback play, the comeback has

299
00:16:13,840 --> 00:16:18,840
Speaker 2: not worked out the way that Cuomo wanted these. The

300
00:16:18,880 --> 00:16:21,480
Speaker 2: spaghetti and meat balls was not as good as he

301
00:16:21,600 --> 00:16:23,440
Speaker 2: was hoping for. It's because it was a.

302
00:16:23,400 --> 00:16:26,200
Speaker 1: Total whiff by me, Buck, I mean, I really thought

303
00:16:26,280 --> 00:16:28,400
Speaker 1: that they had rolled out the red carpet for him.

304
00:16:28,440 --> 00:16:30,360
Speaker 1: I thought he was going to win the mayoral race

305
00:16:30,520 --> 00:16:33,280
Speaker 1: and would then use it as the jumping off point

306
00:16:33,320 --> 00:16:36,400
Speaker 1: to be a candidate in twenty twenty eight. Instead, I

307
00:16:36,440 --> 00:16:39,320
Speaker 1: think his political career is over. I think I think

308
00:16:39,360 --> 00:16:41,800
Speaker 1: he gave up the political ghosts, so to speak, in

309
00:16:41,960 --> 00:16:44,280
Speaker 1: that loss and the way that he lost.

310
00:16:44,760 --> 00:16:47,680
Speaker 3: So now here here's again, I have to I bring

311
00:16:47,720 --> 00:16:47,920
Speaker 3: this to.

312
00:16:47,920 --> 00:16:52,360
Speaker 2: Your attention because so go with New York City, so

313
00:16:52,520 --> 00:16:54,720
Speaker 2: go with a lot of other Democrat cities. I think

314
00:16:55,280 --> 00:16:57,160
Speaker 2: this is going to be viewed. So if you live

315
00:16:57,240 --> 00:17:01,080
Speaker 2: in Texas and you're like, well, that's New York's problem. Yeah,

316
00:17:01,120 --> 00:17:03,200
Speaker 2: but you know he's live in a city like Houston

317
00:17:03,280 --> 00:17:05,120
Speaker 2: or Dallas, which is Democrat majority.

318
00:17:05,200 --> 00:17:07,239
Speaker 3: Unfortunately, this might affect you.

319
00:17:07,119 --> 00:17:08,919
Speaker 2: You know, obviously, if you live in California, you're in

320
00:17:08,960 --> 00:17:12,919
Speaker 2: a Democrat enclave statewide. You know, there's a lot of stuff,

321
00:17:13,040 --> 00:17:16,440
Speaker 2: a lot of stuff that that will filter out from this.

322
00:17:16,800 --> 00:17:18,919
Speaker 2: And I think it's an interesting test case because you

323
00:17:18,920 --> 00:17:23,200
Speaker 2: already have national level them. You had Bill Clinton. Bill Clinton,

324
00:17:23,240 --> 00:17:26,680
Speaker 2: I don't even know he was on Twitter. He was like, hey, here,

325
00:17:26,720 --> 00:17:29,840
Speaker 2: you're a socialist. You love those pretty ladies. I lock

326
00:17:29,880 --> 00:17:32,960
Speaker 2: pretty ladies too. We should talk, you know. Bill Clinton

327
00:17:33,160 --> 00:17:38,400
Speaker 2: all of a sudden giving his congratulations Komaney himself, just kidding.

328
00:17:38,440 --> 00:17:40,560
Speaker 2: Komane didn't congratulate him, but it would have been funny

329
00:17:40,560 --> 00:17:43,399
Speaker 2: if he had. Komatie did say that they've won the

330
00:17:43,400 --> 00:17:45,360
Speaker 2: war though, that is I do have that one here.

331
00:17:45,440 --> 00:17:46,280
Speaker 1: We'll get to that later.

332
00:17:46,920 --> 00:17:51,160
Speaker 2: Bill Clinton, congratulations to Zorn on your victory, wishing you success.

333
00:17:51,200 --> 00:17:53,600
Speaker 2: Well yeah, yeah, nothing really interesting there. But Bill Clinton

334
00:17:53,640 --> 00:17:58,000
Speaker 2: weighed in AOC and Bernie there's really there's really a

335
00:17:58,040 --> 00:18:03,560
Speaker 2: decision that's being made with AOC within the Democrat Party.

336
00:18:03,640 --> 00:18:04,760
Speaker 3: There's the AOC.

337
00:18:04,560 --> 00:18:09,280
Speaker 2: Bernie pathway, and then there's the you know, somebody who's

338
00:18:09,359 --> 00:18:11,280
Speaker 2: the Democrat in charge of Kentucky.

339
00:18:11,320 --> 00:18:14,600
Speaker 3: What's that guy? I'm forgetting blanket. You know, there's like

340
00:18:14,680 --> 00:18:16,119
Speaker 3: the Basheer.

341
00:18:16,240 --> 00:18:19,640
Speaker 2: Or the governor of Maryland or the you know, there's

342
00:18:19,680 --> 00:18:22,119
Speaker 2: that Like, I'm a Democrat, but I'm not like one

343
00:18:22,119 --> 00:18:24,560
Speaker 2: of those crazy Democrats. They'll do whatever Chuck Schumer and

344
00:18:24,640 --> 00:18:27,240
Speaker 2: Nancy Pelosi tell them, but they pretend.

345
00:18:26,880 --> 00:18:27,880
Speaker 3: Not to be right.

346
00:18:28,920 --> 00:18:31,399
Speaker 2: Right now, you've just had a big win go up

347
00:18:31,480 --> 00:18:33,560
Speaker 2: on the board for the crazy AOC wing of the

348
00:18:33,560 --> 00:18:36,400
Speaker 2: Democrat Party. And I understand you might say, Buck, they'll

349
00:18:36,440 --> 00:18:39,960
Speaker 2: never be able to win a national election. Kamala lost

350
00:18:40,560 --> 00:18:41,679
Speaker 2: by in the.

351
00:18:41,760 --> 00:18:43,879
Speaker 3: Electoral college, which is what matters.

352
00:18:44,280 --> 00:18:47,240
Speaker 2: A couple of hundred thousand votes really right, meaning I

353
00:18:47,280 --> 00:18:49,080
Speaker 2: understand she lost by a lot more she lost the

354
00:18:49,080 --> 00:18:51,560
Speaker 2: popular vote. I'm not taking away from Trump's enormous victory.

355
00:18:51,560 --> 00:18:54,520
Speaker 2: It was fantastic, but if you were able to shift

356
00:18:54,520 --> 00:18:57,399
Speaker 2: a couple of hundred thousand votes in half a dozen states,

357
00:18:57,520 --> 00:19:00,879
Speaker 2: really less than the half dozen states would have been president.

358
00:19:01,160 --> 00:19:04,560
Speaker 2: So don't let's not get complacent about the fact that

359
00:19:04,560 --> 00:19:09,880
Speaker 2: the worst presidential candidate in my lifetime is somebody who

360
00:19:10,280 --> 00:19:14,240
Speaker 2: wasn't that far. It was not like a you know, Mondale,

361
00:19:14,920 --> 00:19:18,919
Speaker 2: absolute thrashing. Okay, this was something that was closer than

362
00:19:18,960 --> 00:19:21,960
Speaker 2: it should have been. Now let's just just because of why,

363
00:19:22,040 --> 00:19:23,359
Speaker 2: I don't want you to think, oh, this is just

364
00:19:23,400 --> 00:19:27,560
Speaker 2: New York City's problem. This is that's like saying Soros

365
00:19:27,600 --> 00:19:30,479
Speaker 2: prosecutors were New York's problem. Oh wait, hold on a second.

366
00:19:30,800 --> 00:19:33,040
Speaker 2: They were in every major city in the country for

367
00:19:33,080 --> 00:19:37,080
Speaker 2: a while. There were Soros prosecutors in Saint Louis and

368
00:19:38,040 --> 00:19:40,879
Speaker 2: and in Philly, and in la and the let you

369
00:19:40,920 --> 00:19:43,320
Speaker 2: now you get it on the list right Chicago. Soros

370
00:19:43,359 --> 00:19:46,280
Speaker 2: money all over the country. So you have to watch

371
00:19:46,320 --> 00:19:48,359
Speaker 2: these trends. Clay, let's get into some of the crazy

372
00:19:48,359 --> 00:19:54,360
Speaker 2: stuff here. Socialist democrat Zoran Mamdani. Something that he says

373
00:19:54,400 --> 00:19:56,760
Speaker 2: he wants to do this is cut nine. This guy

374
00:19:56,800 --> 00:20:01,879
Speaker 2: says he wants to eight hundred percent in tree hate

375
00:20:01,920 --> 00:20:03,280
Speaker 2: crime prevention play this.

376
00:20:03,560 --> 00:20:06,960
Speaker 6: I know that Jewish New Yorkers, like Jewish Americans, are

377
00:20:07,160 --> 00:20:11,120
Speaker 6: fearful in this moment of antisemitism. And ultimately, it's through

378
00:20:11,160 --> 00:20:14,639
Speaker 6: the conversations I've had with Jewish New Yorkers that I

379
00:20:14,680 --> 00:20:18,320
Speaker 6: have developed a proposal for the Department of Community Safety

380
00:20:18,520 --> 00:20:21,640
Speaker 6: that would include an eight hundred percent increase in funding

381
00:20:21,720 --> 00:20:25,400
Speaker 6: for hate crime prevention programs. Because ultimately, we cannot simply

382
00:20:25,680 --> 00:20:28,040
Speaker 6: say that anti Semitism has no home in this city

383
00:20:28,119 --> 00:20:29,840
Speaker 6: or no place in this country. We have to do

384
00:20:29,880 --> 00:20:31,520
Speaker 6: more than talk about it. We have to tackle it.

385
00:20:31,680 --> 00:20:33,720
Speaker 6: And that's what we will do. Through this funding and

386
00:20:33,720 --> 00:20:36,080
Speaker 6: through this commitment, we will root out bigotry across the

387
00:20:36,080 --> 00:20:36,760
Speaker 6: five boroughs.

388
00:20:37,080 --> 00:20:38,560
Speaker 3: Let me just throw this out there, Clay.

389
00:20:38,840 --> 00:20:41,399
Speaker 2: This is going to absolutely not work at all to

390
00:20:41,440 --> 00:20:44,280
Speaker 2: stop any bigotry, but it will be a way to

391
00:20:44,400 --> 00:20:48,840
Speaker 2: fund left wing and doctrination programs in community centers, schools

392
00:20:48,840 --> 00:20:50,640
Speaker 2: and all the rest of it.

393
00:20:51,880 --> 00:20:54,840
Speaker 1: Yeah, and look, I think what you're saying is so

394
00:20:54,920 --> 00:20:58,920
Speaker 1: important because a lot of people think, oh, New York City,

395
00:20:58,960 --> 00:21:02,119
Speaker 1: that doesn't really impact to my life in a substantial way.

396
00:21:03,320 --> 00:21:05,399
Speaker 1: I think who with the mayor of New York City

397
00:21:05,600 --> 00:21:08,960
Speaker 1: is impacts all of our lives, even if you live

398
00:21:09,040 --> 00:21:12,440
Speaker 1: in the smallest town in Alabama or the most remote

399
00:21:12,560 --> 00:21:16,160
Speaker 1: part of Utah. The decisions made in New York City,

400
00:21:16,240 --> 00:21:19,640
Speaker 1: given its primacy as the financial capital of the world,

401
00:21:20,359 --> 00:21:24,800
Speaker 1: have a major residence, and the idea that New York

402
00:21:24,840 --> 00:21:28,920
Speaker 1: City is going to potentially elect a guy like Mom

403
00:21:29,040 --> 00:21:34,399
Speaker 1: Donnie should be a clarion call for sanity to ring forth.

404
00:21:34,560 --> 00:21:37,280
Speaker 1: And I think maybe some of these parents that are

405
00:21:37,280 --> 00:21:39,800
Speaker 1: subsidizing all their kids to live in New York City.

406
00:21:40,880 --> 00:21:43,679
Speaker 1: Producer Ali made a good point yesterday, But I do

407
00:21:43,720 --> 00:21:47,080
Speaker 1: think it's true that a lot of Mom Donnie's voters

408
00:21:47,320 --> 00:21:51,399
Speaker 1: are young under thirties, who otherwise wouldn't be living in

409
00:21:51,440 --> 00:21:54,000
Speaker 1: New York City but for the fact that their parents

410
00:21:54,000 --> 00:21:57,680
Speaker 1: are helping to pay their rent and they have decided

411
00:21:57,720 --> 00:22:00,879
Speaker 1: they like socialism. The parents like capital because that's how

412
00:22:00,880 --> 00:22:04,159
Speaker 1: they can afford to take care of their kids. But

413
00:22:04,600 --> 00:22:08,000
Speaker 1: I do think that there's a generational divide here, and

414
00:22:08,600 --> 00:22:14,280
Speaker 1: I think as you break all of this down, Unfortunately, look,

415
00:22:15,359 --> 00:22:18,119
Speaker 1: I don't know that the Democrat Party, this is a

416
00:22:18,119 --> 00:22:21,200
Speaker 1: good question for you, buck is still in a powerful

417
00:22:21,280 --> 00:22:25,040
Speaker 1: enough position that they would be able to knock out

418
00:22:25,040 --> 00:22:28,520
Speaker 1: a Bernie Sanders candidacy now that they would be able

419
00:22:28,560 --> 00:22:31,199
Speaker 1: to knock out an AOC candidacy. Now, I think the

420
00:22:31,240 --> 00:22:35,080
Speaker 1: party is so fractured and so broken, and you might say, okay,

421
00:22:35,119 --> 00:22:39,600
Speaker 1: well that's good. The problem is they could win. I

422
00:22:39,600 --> 00:22:43,480
Speaker 1: don't think it's a crazy idea that Bernie Sanders could

423
00:22:43,760 --> 00:22:45,920
Speaker 1: if he weren't eighty three or eighty four or whatever

424
00:22:45,960 --> 00:22:49,679
Speaker 1: the heck he is, that he could catch fire, someone

425
00:22:49,920 --> 00:22:54,120
Speaker 1: like him could catch fire and end up as the president.

426
00:22:54,640 --> 00:22:59,000
Speaker 1: I don't think it's a crazy, ridiculous idea. I'm gonna

427
00:22:59,000 --> 00:22:59,480
Speaker 1: tell you something.

428
00:22:59,480 --> 00:23:03,280
Speaker 2: I watched a lot of these Mom Donnie videos and

429
00:23:03,320 --> 00:23:06,520
Speaker 2: the guy is the guy is very slick. He understands

430
00:23:06,520 --> 00:23:12,040
Speaker 2: social media. He comes across as just objectively, he comes

431
00:23:12,119 --> 00:23:17,800
Speaker 2: across as affable and pretty humble and a guy who

432
00:23:17,840 --> 00:23:19,440
Speaker 2: just wants to talk to people. He did this whole

433
00:23:19,520 --> 00:23:22,360
Speaker 2: video it's now gone pretty viral play where he goes

434
00:23:22,400 --> 00:23:26,840
Speaker 2: around talking to like you know, if people call him

435
00:23:26,880 --> 00:23:29,520
Speaker 2: like halal carts, like the meat, meat and rice carts

436
00:23:29,560 --> 00:23:31,840
Speaker 2: that are in New York City, asking them like why

437
00:23:31,880 --> 00:23:34,000
Speaker 2: is it so expensive? Like why is it ten or

438
00:23:34,040 --> 00:23:36,840
Speaker 2: twelve dollars? Now for this wouldn't couldn't be less. And

439
00:23:36,920 --> 00:23:40,920
Speaker 2: he has these guys he goes right in and they're saying, Oh,

440
00:23:40,960 --> 00:23:44,520
Speaker 2: it's because of city permitting. The city permitting process is

441
00:23:44,560 --> 00:23:47,159
Speaker 2: corrupt and takes too long and it's too expensive. And

442
00:23:47,200 --> 00:23:49,959
Speaker 2: he goes, oh, we're going to fix that. You know,

443
00:23:50,000 --> 00:23:51,680
Speaker 2: say what you will about the fact that he was,

444
00:23:51,720 --> 00:23:54,320
Speaker 2: you know, freezing. There's a whole bill Ackman has a

445
00:23:54,359 --> 00:23:57,760
Speaker 2: whole takedown to this guy. Freezing rent prices is just

446
00:23:57,800 --> 00:24:01,560
Speaker 2: going to make the housing shortage worse course, because.

447
00:24:01,280 --> 00:24:03,440
Speaker 3: It means that, you know, there are expenses that are already.

448
00:24:03,119 --> 00:24:04,840
Speaker 2: Baked in and people have to build more, and they

449
00:24:04,840 --> 00:24:07,080
Speaker 2: don't want to build more if they can't actually charge

450
00:24:07,119 --> 00:24:10,440
Speaker 2: the market rate anyway. So here he's an economic illiterate,

451
00:24:10,480 --> 00:24:15,440
Speaker 2: but he understands Mom, Donnie understands story, and he understands

452
00:24:15,520 --> 00:24:20,120
Speaker 2: social media and how to connect with an audience. I

453
00:24:20,160 --> 00:24:22,760
Speaker 2: you know, don't don't sleep on this guy. Everybody, you know,

454
00:24:22,800 --> 00:24:24,880
Speaker 2: we have this thing, you know, and I know we've

455
00:24:24,920 --> 00:24:27,919
Speaker 2: done this with AOC two. Oh you know she's this

456
00:24:27,960 --> 00:24:30,960
Speaker 2: guy doesn't strike me as dumb. Wrong, yes, dumb. No,

457
00:24:31,440 --> 00:24:34,800
Speaker 2: he doesn't strike me as dumb. And you know, horrible

458
00:24:34,840 --> 00:24:39,679
Speaker 2: ideas certainly. But this is the other you know, the

459
00:24:39,720 --> 00:24:42,400
Speaker 2: option that Democrats have is not is to say we're

460
00:24:42,400 --> 00:24:43,920
Speaker 2: not going to go towards the center and try to

461
00:24:43,960 --> 00:24:44,960
Speaker 2: reform our crazy.

462
00:24:45,160 --> 00:24:47,439
Speaker 3: We're gonna double down on crazy. We're just gonna package

463
00:24:47,440 --> 00:24:47,800
Speaker 3: it better.

464
00:24:48,240 --> 00:24:50,800
Speaker 1: Oh I think AOC sees this and says I'm running

465
00:24:50,840 --> 00:24:54,040
Speaker 1: for president now in twenty twenty eight. Absolutely, I've said

466
00:24:54,040 --> 00:24:54,679
Speaker 1: that's all along.

467
00:24:55,160 --> 00:24:57,359
Speaker 2: You asked me right after this election, who's going to

468
00:24:57,359 --> 00:25:00,639
Speaker 2: be the leader Democrat Party as well? He AOC at

469
00:25:00,680 --> 00:25:03,119
Speaker 2: one point, and then I've also mentioned Wes Moore, the

470
00:25:03,119 --> 00:25:03,920
Speaker 2: governor of Maryland.

471
00:25:04,080 --> 00:25:05,280
Speaker 3: But those are the pathways.

472
00:25:06,000 --> 00:25:10,920
Speaker 2: There's the AOC hard left socialist, just say the stuff

473
00:25:10,920 --> 00:25:13,320
Speaker 2: that you want to say as and then there's.

474
00:25:13,080 --> 00:25:15,560
Speaker 3: The oh I'm not like them, I'm more normal.

475
00:25:15,480 --> 00:25:17,520
Speaker 2: And then you get the AOC policies. But you get

476
00:25:17,520 --> 00:25:20,320
Speaker 2: somebody who pretends to be something else during the election cycle.

477
00:25:20,920 --> 00:25:23,800
Speaker 1: That's the way sure approach. The Democrat Party has the

478
00:25:23,880 --> 00:25:27,760
Speaker 1: ability to slap down someone like Bernie Sanders if he

479
00:25:27,840 --> 00:25:32,159
Speaker 1: were running today, which if I'm looking at AOC, I'm saying,

480
00:25:32,240 --> 00:25:35,560
Speaker 1: mom Donnie just ran through. What did mom Donnie do? Well?

481
00:25:35,880 --> 00:25:38,760
Speaker 1: He's pretty good on social media you may think, and

482
00:25:38,800 --> 00:25:43,920
Speaker 1: I certainly think that AOC is economically illiterate and a moron.

483
00:25:44,440 --> 00:25:47,680
Speaker 1: There's a huge audience for what she puts out on

484
00:25:47,760 --> 00:25:52,560
Speaker 1: social media, and she's skilled at that. Now I don't

485
00:25:52,720 --> 00:25:56,520
Speaker 1: I hope that her overall policies are so crazy and

486
00:25:56,560 --> 00:25:58,760
Speaker 1: she would do such a poor job even of defending

487
00:25:58,800 --> 00:26:01,800
Speaker 1: those policies that she not be capable of winning an election.

488
00:26:02,600 --> 00:26:05,720
Speaker 1: But I think you're starting to see that the Democrat

489
00:26:05,760 --> 00:26:09,879
Speaker 1: Party had two pathways. They could wake up and be

490
00:26:10,119 --> 00:26:13,120
Speaker 1: somewhat more sane, or at least pretend to be more

491
00:26:13,200 --> 00:26:16,200
Speaker 1: sane and take the more moderate path as they move

492
00:26:16,280 --> 00:26:19,920
Speaker 1: towards twenty twenty six and twenty twenty eight, or they

493
00:26:19,920 --> 00:26:23,639
Speaker 1: could double triple and quadruple down on crazy. And it

494
00:26:23,720 --> 00:26:27,000
Speaker 1: seems to me that the early returns, based on what

495
00:26:27,080 --> 00:26:29,000
Speaker 1: we saw in New York City, are that they're going

496
00:26:29,040 --> 00:26:31,439
Speaker 1: to double triple, quadruple down on crazy. And you know,

497
00:26:32,040 --> 00:26:35,960
Speaker 1: now we're in a situation where Eric Adams is the

498
00:26:36,000 --> 00:26:39,960
Speaker 1: savior of New York City, and that's only if they

499
00:26:40,040 --> 00:26:43,360
Speaker 1: can get Cuomo to officially drop out, if they can

500
00:26:43,720 --> 00:26:47,280
Speaker 1: find a way to kind of corral this strange coalition

501
00:26:47,920 --> 00:26:50,480
Speaker 1: that potentially he would be able to bring to bear,

502
00:26:51,040 --> 00:26:56,080
Speaker 1: and that would require black voters interestingly deciding that they

503
00:26:56,119 --> 00:27:00,280
Speaker 1: had to show up in a monster number for Eric

504
00:27:00,280 --> 00:27:02,920
Speaker 1: Adams in order to offset a lot of these young

505
00:27:02,960 --> 00:27:06,880
Speaker 1: white voters that have fallen in love with socialism.

506
00:27:07,200 --> 00:27:10,200
Speaker 2: So you've got Mamdannie talking about the eight hundred percent

507
00:27:10,280 --> 00:27:16,399
Speaker 2: increase in the anti bigotry forces, not police, like, I

508
00:27:16,400 --> 00:27:19,840
Speaker 2: don't know what they're going to be bigotry prevention programs. Also,

509
00:27:19,840 --> 00:27:22,040
Speaker 2: as we know in New York, talking about if you're

510
00:27:22,040 --> 00:27:27,880
Speaker 2: talking about anti Semitic or anti Asian bigotry, yeah, probably

511
00:27:27,880 --> 00:27:29,600
Speaker 2: not gonna if you're a leftist, you're not going to

512
00:27:29,920 --> 00:27:33,639
Speaker 2: like the demographics that are disproportionately targeting those groups. This

513
00:27:33,760 --> 00:27:35,600
Speaker 2: is just a matter of fact, a matter of numbers

514
00:27:35,600 --> 00:27:39,280
Speaker 2: and data. But put that aside for a moment. Here

515
00:27:39,440 --> 00:27:42,320
Speaker 2: is really at the heart of it, Mamdani saying that

516
00:27:42,440 --> 00:27:44,840
Speaker 2: our criminal justice system, this is cut eight, is just

517
00:27:44,920 --> 00:27:46,360
Speaker 2: straight up racist.

518
00:27:46,920 --> 00:27:51,199
Speaker 7: The alternatives are things that we must look to immediately,

519
00:27:51,320 --> 00:27:54,640
Speaker 7: both with regards to you neighborhood groups who do anti

520
00:27:54,720 --> 00:27:56,800
Speaker 7: violence work and are shown to be more effective than

521
00:27:56,840 --> 00:28:01,200
Speaker 7: the police, but also asking you know, if we have

522
00:28:01,280 --> 00:28:04,280
Speaker 7: an understanding that our criminal justice system is racist, which

523
00:28:04,280 --> 00:28:07,399
Speaker 7: is a quite a general understanding now it seems to

524
00:28:07,400 --> 00:28:09,879
Speaker 7: be shared by many, many people. And how can we

525
00:28:09,960 --> 00:28:13,440
Speaker 7: simultaneously be investing in it as the way we both

526
00:28:13,560 --> 00:28:16,280
Speaker 7: judge and determine the futures of so many people in

527
00:28:16,320 --> 00:28:16,680
Speaker 7: our state.

528
00:28:18,320 --> 00:28:21,400
Speaker 2: Now that was twenty twenty, granted, but the criminal justice

529
00:28:21,400 --> 00:28:23,119
Speaker 2: system in this country is actually not racist.

530
00:28:23,760 --> 00:28:24,600
Speaker 1: It is not racist.

531
00:28:24,680 --> 00:28:26,520
Speaker 2: I know that this is something Democrats love to say.

532
00:28:26,560 --> 00:28:30,080
Speaker 2: But the laws are the laws, and we.

533
00:28:30,080 --> 00:28:32,440
Speaker 1: Have talked about this before, and to me, the way

534
00:28:32,480 --> 00:28:36,440
Speaker 1: that this gets destroyed is if you just push back

535
00:28:36,520 --> 00:28:41,200
Speaker 1: anybody who says this, just nod and say super sexist too.

536
00:28:41,360 --> 00:28:43,040
Speaker 1: Why are men charged with crime?

537
00:28:43,080 --> 00:28:46,400
Speaker 3: Men do really unfair those murdered laws. Men do all

538
00:28:46,400 --> 00:28:46,840
Speaker 3: the murders.

539
00:28:46,880 --> 00:28:48,680
Speaker 2: This is my favorite argument, Clay. We've been making it

540
00:28:48,680 --> 00:28:50,840
Speaker 2: here for a long time because they don't know what

541
00:28:50,880 --> 00:28:53,440
Speaker 2: to say, because they have to admit, Yeah, men commit

542
00:28:53,480 --> 00:28:56,320
Speaker 2: more murders. We just threw sorry, guys, we're the ones

543
00:28:56,360 --> 00:28:58,920
Speaker 2: who kill people. Does that mean we should change the

544
00:28:59,000 --> 00:29:01,520
Speaker 2: murder laws? Does that mean that murder laws are sexist?

545
00:29:02,320 --> 00:29:02,760
Speaker 1: It does not.

546
00:29:04,720 --> 00:29:05,800
Speaker 3: It's pretty strong argument.

547
00:29:05,840 --> 00:29:07,480
Speaker 1: It's a good one to use on your kids or

548
00:29:07,520 --> 00:29:10,560
Speaker 1: grandkids if they bring that home with you sometime instead

549
00:29:10,600 --> 00:29:12,920
Speaker 1: of immediately combating them there say, you know what, I've

550
00:29:12,920 --> 00:29:15,680
Speaker 1: been thinking about this a lot. Why are men in

551
00:29:15,720 --> 00:29:18,080
Speaker 1: prison at such higher rates than women? I think maybe

552
00:29:18,120 --> 00:29:19,320
Speaker 1: we need to go back and look at all of

553
00:29:19,320 --> 00:29:23,440
Speaker 1: our laws. They're very sexist, and see how your kids respond.

554
00:29:23,960 --> 00:29:26,640
Speaker 2: By the time this day ends, another American family farm

555
00:29:26,960 --> 00:29:29,040
Speaker 2: is going to be forced to close, not because they

556
00:29:29,080 --> 00:29:31,560
Speaker 2: stop working hard and doing their best, but because a

557
00:29:31,560 --> 00:29:34,560
Speaker 2: lot of grocery stores aren't buying their meat anymore. Over

558
00:29:34,640 --> 00:29:36,920
Speaker 2: eighty five percent of the grass fed beef sold in

559
00:29:36,920 --> 00:29:40,320
Speaker 2: the US is imported, and most Americans have no idea.

560
00:29:40,840 --> 00:29:43,280
Speaker 2: That's where Good Ranchers comes in. That's why Clay and

561
00:29:43,320 --> 00:29:46,680
Speaker 2: I get our meat from Good ranchers dot com. Good

562
00:29:46,720 --> 00:29:49,640
Speaker 2: Ranchers doesn't just sell super tasty meat, I mean it

563
00:29:49,720 --> 00:29:52,680
Speaker 2: is delicious. They bring you back to the source. All

564
00:29:52,720 --> 00:29:56,000
Speaker 2: Good Ranchers' products are one hundred percent born, raised, and

565
00:29:56,120 --> 00:30:00,000
Speaker 2: harvested in the USA from local family farms. This summer,

566
00:30:00,120 --> 00:30:02,640
Speaker 2: you can subscribe to any Good Ranchers box and get

567
00:30:02,640 --> 00:30:06,240
Speaker 2: your pick of free meat for life. That's free wagy burgers,

568
00:30:06,240 --> 00:30:07,920
Speaker 2: hot dogs, bacon, or chicken wings.

569
00:30:07,920 --> 00:30:10,120
Speaker 3: In every box for the lifetime of your subscription.

570
00:30:10,880 --> 00:30:13,760
Speaker 2: Get an extra forty dollars off your first box when

571
00:30:13,760 --> 00:30:16,120
Speaker 2: you use my name Buck as your promo code at checkout.

572
00:30:16,480 --> 00:30:20,360
Speaker 2: Once again, visit good ranchers dot com. Use promo code Buck.

573
00:30:20,400 --> 00:30:23,640
Speaker 2: Get your free meat for life plus forty dollars off

574
00:30:23,760 --> 00:30:24,960
Speaker 2: Good ranchers.

575
00:30:24,600 --> 00:30:36,520
Speaker 1: Dot com American meat delivered. White House Press Secretary our

576
00:30:36,520 --> 00:30:43,080
Speaker 1: friend Caroline Levitt taking questions right now on the intel

577
00:30:43,400 --> 00:30:48,120
Speaker 1: leaks surrounding the Iran operation. We have been talking about

578
00:30:48,200 --> 00:30:50,760
Speaker 1: the big decision that New York City is going to have.

579
00:30:51,200 --> 00:30:55,600
Speaker 1: What do you think Cuomo does? I was totally wrong.

580
00:30:55,720 --> 00:30:58,280
Speaker 1: I thought I did think he would run for mayor.

581
00:30:58,760 --> 00:31:01,000
Speaker 1: I look like a genius. Told I can put this

582
00:31:01,040 --> 00:31:04,320
Speaker 1: one in the forget file. Clay, Okay, you've made some great.

583
00:31:04,080 --> 00:31:06,560
Speaker 2: Calls, this one. This one didn't quite work out as

584
00:31:06,600 --> 00:31:07,720
Speaker 2: we thought, but it's okay.

585
00:31:08,200 --> 00:31:11,600
Speaker 1: What's the best Let's pretend that you were giving advice

586
00:31:11,800 --> 00:31:18,200
Speaker 1: to Andrew Cuomo. Is it to now get behind mom

587
00:31:18,280 --> 00:31:21,320
Speaker 1: Donnie and just kind of step off to the side,

588
00:31:22,080 --> 00:31:24,760
Speaker 1: or is it to try to run as an independent

589
00:31:24,960 --> 00:31:28,800
Speaker 1: and maybe have a secret deal behind the scenes. Because

590
00:31:28,840 --> 00:31:32,040
Speaker 1: if he runs as an independent and Eric Adams runs,

591
00:31:32,560 --> 00:31:35,640
Speaker 1: then Mom Donnie's definitely gonna win because they will split

592
00:31:35,800 --> 00:31:38,560
Speaker 1: the Mom Donnie opposition vote.

593
00:31:38,880 --> 00:31:41,480
Speaker 2: I think he's a two time loser, and that means

594
00:31:42,040 --> 00:31:44,800
Speaker 2: the best thing that he can do is to get

595
00:31:44,840 --> 00:31:47,360
Speaker 2: an agent and find his way onto an episode of

596
00:31:47,440 --> 00:31:52,440
Speaker 2: Law and Order where he plays a probably elderly mobster

597
00:31:52,720 --> 00:31:56,280
Speaker 2: or something along those lines, maybe a corrupt politician. I

598
00:31:56,360 --> 00:31:59,160
Speaker 2: do not think that he has a future in New

599
00:31:59,240 --> 00:32:02,120
Speaker 2: York politics anymore after this. I don't see it, because

600
00:32:02,520 --> 00:32:04,640
Speaker 2: you know, you can't win the no, He'll just be

601
00:32:04,720 --> 00:32:08,080
Speaker 2: playing spoiler at that point. If I'm a New Yorker

602
00:32:08,120 --> 00:32:11,120
Speaker 2: and I'm New York adjacent in my heart, right, I mean,

603
00:32:11,120 --> 00:32:13,720
Speaker 2: if I'm a New Yorker still though voting. You know,

604
00:32:13,760 --> 00:32:15,200
Speaker 2: I talk to my family about this all the time,

605
00:32:15,240 --> 00:32:17,160
Speaker 2: and I want what's best for New York. Not just

606
00:32:17,240 --> 00:32:20,840
Speaker 2: for all of our fantastic wo R listeners and podcast

607
00:32:20,840 --> 00:32:23,480
Speaker 2: listeners in the New York area. We want the best

608
00:32:23,480 --> 00:32:26,160
Speaker 2: for all of you, but also my own family is there.

609
00:32:26,520 --> 00:32:28,960
Speaker 2: So when when we talk about safe streets in New York,

610
00:32:29,320 --> 00:32:31,760
Speaker 2: I'm thinking about my mom, my dad, my sister, and

611
00:32:31,800 --> 00:32:33,880
Speaker 2: I'm thinking about people who I love and mean a

612
00:32:33,920 --> 00:32:37,280
Speaker 2: lot to me. So that means that I want what's best.

613
00:32:37,320 --> 00:32:37,520
Speaker 1: Now.

614
00:32:38,120 --> 00:32:44,120
Speaker 2: In what way is Andrew Cuomo an improvement over Eric Adams?

615
00:32:44,120 --> 00:32:46,160
Speaker 2: I have to say I don't think he is. And

616
00:32:46,240 --> 00:32:48,760
Speaker 2: so that's where the problem. You've got a guy who's

617
00:32:48,800 --> 00:32:53,320
Speaker 2: already mayor, already in the job. Not horrible, Okay, he's

618
00:32:53,360 --> 00:32:56,680
Speaker 2: not good, you know, I think Eric Adams And let

619
00:32:56,680 --> 00:33:00,160
Speaker 2: me know w O R listeners if you want, if

620
00:33:00,160 --> 00:33:01,960
Speaker 2: you think this is a fair grade. I think he's

621
00:33:01,960 --> 00:33:04,600
Speaker 2: a you know, if the Blasio was an F, I

622
00:33:04,600 --> 00:33:08,640
Speaker 2: think Mayor Eric Adams is probably a C minus maybe

623
00:33:08,680 --> 00:33:11,520
Speaker 2: a C. You know, I think that's that's a fair

624
00:33:11,880 --> 00:33:16,280
Speaker 2: you know, he's not intentionally maliciously destroying New York.

625
00:33:16,320 --> 00:33:19,120
Speaker 1: He's just not a very good manager. Uh.

626
00:33:19,280 --> 00:33:22,160
Speaker 3: He was good on the issue. Let's take a few things.

627
00:33:22,520 --> 00:33:25,440
Speaker 2: He tried to help on the crime issue. Brought in

628
00:33:25,520 --> 00:33:27,880
Speaker 2: somebody good here with Jesse Tish to run the NYPED

629
00:33:27,920 --> 00:33:31,600
Speaker 2: as commissioner. He spoke out in a way that I

630
00:33:31,680 --> 00:33:34,280
Speaker 2: think was really important for the Trump campaign. Actually he

631
00:33:34,280 --> 00:33:36,160
Speaker 2: didn't speak on behalf of them, but when he said

632
00:33:36,560 --> 00:33:39,040
Speaker 2: guys were flooded with all these migrants, this is crazy.

633
00:33:39,400 --> 00:33:41,719
Speaker 2: He was honest about that. And said he didn't want anymore.

634
00:33:42,040 --> 00:33:44,760
Speaker 2: So he did do some things that are there's nothing

635
00:33:44,760 --> 00:33:46,920
Speaker 2: I can do. Blasio did nothing that is good. Everything

636
00:33:46,920 --> 00:33:49,240
Speaker 2: to Blasio did was in my in my mind, every

637
00:33:49,280 --> 00:33:52,080
Speaker 2: decision he made was against the interest of New Yorkers.

638
00:33:52,120 --> 00:33:53,600
Speaker 2: And we can just forget about him. But you know,

639
00:33:53,640 --> 00:33:55,720
Speaker 2: didn't he run for president? By the way, didn't he

640
00:33:55,800 --> 00:33:56,360
Speaker 2: run for president?

641
00:33:56,360 --> 00:33:56,720
Speaker 1: For a second?

642
00:33:56,760 --> 00:33:58,400
Speaker 2: I think he did, wasn't he One of those guys

643
00:33:58,520 --> 00:34:00,360
Speaker 2: was like, I'm also on this stage.

644
00:34:00,760 --> 00:34:02,040
Speaker 1: Everyone was like, get out of here.

645
00:34:03,000 --> 00:34:06,200
Speaker 2: So Clay, I think that Eric Adams is the non

646
00:34:06,240 --> 00:34:08,839
Speaker 2: mom downy hope of New York now.

647
00:34:09,160 --> 00:34:09,959
Speaker 1: And is that enough?

648
00:34:10,080 --> 00:34:12,040
Speaker 2: And people who are gonna tell me, Buck, you can

649
00:34:12,040 --> 00:34:14,839
Speaker 2: get behind Curtis Sliewell, you can get behind Curtis Sliewill.

650
00:34:15,520 --> 00:34:17,880
Speaker 1: Obviously I agree with Curtis. I like Curtis.

651
00:34:18,040 --> 00:34:19,960
Speaker 2: We've had him on the show several times. You've had

652
00:34:20,040 --> 00:34:23,000
Speaker 2: him on the show. You know he's it's an eighty

653
00:34:23,080 --> 00:34:27,080
Speaker 2: twenty democrat city guys, It's just not gonna happen. It's

654
00:34:27,080 --> 00:34:29,600
Speaker 2: just not gonna happen. I wish you know that that

655
00:34:29,800 --> 00:34:33,120
Speaker 2: wasn't the case. But you just had the most radical

656
00:34:33,200 --> 00:34:36,120
Speaker 2: leftist win the Democrat primary. You're not about to win

657
00:34:36,200 --> 00:34:38,879
Speaker 2: over a lot of Democrats to be a Republican. That's

658
00:34:38,920 --> 00:34:40,680
Speaker 2: not gonna happen to vote for a Republican.

659
00:34:41,200 --> 00:34:43,959
Speaker 1: A part of me wonders whether there might be such

660
00:34:43,960 --> 00:34:47,880
Speaker 1: a panic setting in among the Wall Street universe that

661
00:34:48,080 --> 00:34:53,160
Speaker 1: somebody with hundreds of millions of dollars a lah of Bloomberg.

662
00:34:52,880 --> 00:34:56,080
Speaker 2: Well Ackman is by saying he's gonna spend huge money

663
00:34:56,239 --> 00:34:58,560
Speaker 2: Bill Ackman, who's kind of happy.

664
00:34:58,440 --> 00:35:00,160
Speaker 1: To get him. We need to get him on the

665
00:35:00,200 --> 00:35:02,480
Speaker 1: show because I think that would be an interesting conversation.

666
00:35:02,640 --> 00:35:05,839
Speaker 1: But he has been tweeting that there are people out

667
00:35:05,920 --> 00:35:09,120
Speaker 1: there that he thinks he could help to persuade. The

668
00:35:09,280 --> 00:35:13,959
Speaker 1: challenge is, whoever is opposed to Mom Donnie, everybody else

669
00:35:13,960 --> 00:35:16,839
Speaker 1: has to drop out, and there has to be one

670
00:35:17,000 --> 00:35:21,000
Speaker 1: focal point of, Hey, this is the guy or the gal,

671
00:35:21,200 --> 00:35:23,719
Speaker 1: as the case may be, who is going to go

672
00:35:23,880 --> 00:35:27,600
Speaker 1: head to head against Mom Donnie, and everybody has to

673
00:35:27,640 --> 00:35:31,680
Speaker 1: get behind this person. My concern is, I think Cuomo's

674
00:35:31,800 --> 00:35:35,799
Speaker 1: ego is involved here. Now, Eric Adams, I don't think

675
00:35:35,880 --> 00:35:38,480
Speaker 1: there's any way he's going to drop out, And then

676
00:35:38,920 --> 00:35:43,000
Speaker 1: Curtis Sliwa, you start getting all these different groups, and

677
00:35:43,360 --> 00:35:48,439
Speaker 1: it's hard to get to fifty percent plus one when

678
00:35:48,520 --> 00:35:54,040
Speaker 1: you've got bes many different splintered individuals running. De Blasio's

679
00:35:54,080 --> 00:35:57,920
Speaker 1: presidential campaign, by the way, good research by Ali. He

680
00:35:58,040 --> 00:36:02,680
Speaker 1: ran from May sixteenth, twenty nineteen to September twentyth, twenty nineteen,

681
00:36:03,239 --> 00:36:06,600
Speaker 1: spent one point four million dollars, and everybody just kind

682
00:36:06,600 --> 00:36:10,640
Speaker 1: of laughed him out of the arena, because even New

683
00:36:10,719 --> 00:36:13,000
Speaker 1: Yorkers were like, this is one of the craziest things

684
00:36:13,040 --> 00:36:15,400
Speaker 1: we've ever seen that a guy who's this didn't the

685
00:36:15,480 --> 00:36:18,640
Speaker 1: guy this unpopular would decide to run? Did it? Build?

686
00:36:18,640 --> 00:36:22,200
Speaker 1: The Blasio make news most recently Buck, because he and

687
00:36:22,239 --> 00:36:24,360
Speaker 1: his wife announced that they were going to basically have

688
00:36:24,440 --> 00:36:27,400
Speaker 1: an open marriage. Am I wrong about this?

689
00:36:28,239 --> 00:36:30,680
Speaker 2: I think I know this and tried to forget it

690
00:36:30,680 --> 00:36:32,680
Speaker 2: because I don't really need to know this stuff. But

691
00:36:33,160 --> 00:36:36,120
Speaker 2: I believe there's something like that that has occurred.

692
00:36:36,200 --> 00:36:39,040
Speaker 1: Yeah, they made a public statement that they were staying married,

693
00:36:39,080 --> 00:36:41,560
Speaker 1: but they were going to be with other people. I mean,

694
00:36:42,680 --> 00:36:46,120
Speaker 1: what a ridiculous guy that dude was the fact that

695
00:36:46,160 --> 00:36:50,600
Speaker 1: he could get elected actually makes me terrified because Mom, Donnie,

696
00:36:50,640 --> 00:36:56,000
Speaker 1: to your point, Buck is actually a super articulate smart,

697
00:36:56,520 --> 00:37:00,840
Speaker 1: charismatic guy who's just wrong about everything, but he's not

698
00:37:00,960 --> 00:37:04,840
Speaker 1: an unlikable person, if that makes sense. He's wrong about everything,

699
00:37:04,960 --> 00:37:08,960
Speaker 1: but not unlikable, and also smart and savvy when it

700
00:37:09,040 --> 00:37:12,640
Speaker 1: comes to trying to understand how to make arguments on

701
00:37:12,680 --> 00:37:17,480
Speaker 1: social media. Yes, I think that he's more formidable than

702
00:37:17,520 --> 00:37:20,880
Speaker 1: a lot of people looking from the outside are are

703
00:37:20,920 --> 00:37:21,919
Speaker 1: assessing right now.

704
00:37:21,920 --> 00:37:24,439
Speaker 3: And that's something to keep in mind as we go forward.

705
00:37:24,480 --> 00:37:27,799
Speaker 2: So look, I'm totally I hope I'm wrong on this one,

706
00:37:27,880 --> 00:37:31,040
Speaker 2: and I hope that this is something that you know

707
00:37:31,480 --> 00:37:38,000
Speaker 2: that does not come to pass. But here is, let

708
00:37:38,000 --> 00:37:42,439
Speaker 2: me see, We've got Tom Homan laying down the law. Here.

709
00:37:42,480 --> 00:37:46,880
Speaker 2: You know, there's this whole separation of powers thing, and

710
00:37:47,480 --> 00:37:50,959
Speaker 2: here is Tom Holman saying, look, you can't kick ice

711
00:37:51,040 --> 00:37:53,800
Speaker 2: out of New York, buddy. It's called federal law play sixteen.

712
00:37:54,000 --> 00:37:57,799
Speaker 8: He's vowed to kick the quote fascist ice out of

713
00:37:57,840 --> 00:38:00,800
Speaker 8: New York City. Okay, So how do you intend to

714
00:38:00,840 --> 00:38:02,880
Speaker 8: deal with that? Because I would guess there's gonna be

715
00:38:02,920 --> 00:38:05,600
Speaker 8: a lot of criminals and Iranian seals and whatnot in

716
00:38:05,640 --> 00:38:06,279
Speaker 8: New York City.

717
00:38:06,320 --> 00:38:07,920
Speaker 1: The job's not done there. What do you say to

718
00:38:07,960 --> 00:38:08,480
Speaker 1: this guy.

719
00:38:08,400 --> 00:38:12,680
Speaker 9: Good luck for that douggle law trumps him every every

720
00:38:12,719 --> 00:38:15,480
Speaker 9: every every day, every hour, every minute. We're gonna be

721
00:38:15,480 --> 00:38:17,360
Speaker 9: in New York City. Matter of fact, because there's a

722
00:38:17,400 --> 00:38:20,239
Speaker 9: sanctuary city. President Trump made a clear week and a

723
00:38:20,280 --> 00:38:22,680
Speaker 9: half ago, we're going we're going double Downald triuple down

724
00:38:22,719 --> 00:38:23,600
Speaker 9: on sanctuary cities.

725
00:38:23,800 --> 00:38:25,760
Speaker 3: If we can't arrest the bad guy and accounted.

726
00:38:25,800 --> 00:38:27,799
Speaker 9: You know, one agent rest and one bad guy, they

727
00:38:27,840 --> 00:38:29,839
Speaker 9: released him in the streets like New York does every day.

728
00:38:30,040 --> 00:38:32,400
Speaker 9: We got to send whole team to look at this

729
00:38:32,400 --> 00:38:32,799
Speaker 9: this guy.

730
00:38:34,480 --> 00:38:36,879
Speaker 2: Yeah, that's gonna be a showdown that I don't think

731
00:38:36,880 --> 00:38:38,560
Speaker 2: it's gonna go well for Mam Donnie. By the way,

732
00:38:38,600 --> 00:38:41,239
Speaker 2: I don't think that he wants to be on the

733
00:38:41,239 --> 00:38:44,280
Speaker 2: other side of Tom Homan on the immigration issue because,

734
00:38:44,320 --> 00:38:47,400
Speaker 2: first of all, legally Holman's right, and second of all,

735
00:38:48,360 --> 00:38:51,719
Speaker 2: if there's anything that looks like a showdown, this Mam

736
00:38:51,760 --> 00:38:54,520
Speaker 2: Donnie guy is gonna shrink away from that fight very quickly.

737
00:38:54,960 --> 00:38:57,560
Speaker 1: I'm not sure anybody in the entire Trump team is

738
00:38:57,640 --> 00:39:01,919
Speaker 1: working harder right now than Tom Holman is. I mean,

739
00:39:02,080 --> 00:39:02,879
Speaker 1: if you look at.

740
00:39:02,760 --> 00:39:04,640
Speaker 2: That Pean Miller, I mean when we saw him, Steven

741
00:39:04,680 --> 00:39:07,520
Speaker 2: Miller looks like he looks like he lives on a

742
00:39:07,600 --> 00:39:08,120
Speaker 2: cot on.

743
00:39:08,080 --> 00:39:10,319
Speaker 3: The White House floor right now. I mean he's going

744
00:39:10,360 --> 00:39:10,960
Speaker 3: through a lot.

745
00:39:11,239 --> 00:39:14,320
Speaker 1: There are a lot of guys who are working unbelievable

746
00:39:14,440 --> 00:39:17,759
Speaker 1: hours because they see this as the eighteen months when

747
00:39:17,800 --> 00:39:20,320
Speaker 1: Trump is able to be his most effective and efficient

748
00:39:20,480 --> 00:39:25,040
Speaker 1: version of himself. But the amount of media that is

749
00:39:25,160 --> 00:39:28,160
Speaker 1: out there that Tom Holman is doing on a day

750
00:39:28,200 --> 00:39:30,840
Speaker 1: to day basis and the amount of success that he

751
00:39:30,960 --> 00:39:35,359
Speaker 1: is having is frankly unparalleled. And I know we talk

752
00:39:35,400 --> 00:39:37,759
Speaker 1: about this on this program and try to make sure

753
00:39:37,760 --> 00:39:41,600
Speaker 1: that we reference it often. I'm not sure in our

754
00:39:41,760 --> 00:39:45,719
Speaker 1: lives that there has ever been anything that government has

755
00:39:45,800 --> 00:39:50,480
Speaker 1: fixed faster and more effectively than the border under Trump

756
00:39:50,640 --> 00:39:56,560
Speaker 1: when you consider historic failure under Biden. And it was

757
00:39:56,600 --> 00:39:59,759
Speaker 1: as if a light switch just got flipped or got

758
00:40:00,280 --> 00:40:04,320
Speaker 1: off whichever direction you want to go, and overnight everything

759
00:40:04,480 --> 00:40:08,160
Speaker 1: changed and it became flawless. And you know that's the

760
00:40:08,239 --> 00:40:13,360
Speaker 1: case because it suddenly isn't talked about anywhere, But my goodness,

761
00:40:13,800 --> 00:40:16,360
Speaker 1: this is the number one thing Trump said he would fix,

762
00:40:16,800 --> 00:40:18,560
Speaker 1: and they don't want to give him any credit for it.

763
00:40:18,920 --> 00:40:21,520
Speaker 1: But Tom Holman and the team and Steven Miller is

764
00:40:21,520 --> 00:40:23,560
Speaker 1: a part of this too. They've just been unbelievable on

765
00:40:23,600 --> 00:40:24,000
Speaker 1: this front.

766
00:40:24,080 --> 00:40:27,000
Speaker 2: Also, want to bring this to your attention again because

767
00:40:27,000 --> 00:40:29,120
Speaker 2: I know, you know, we talk about this and it's like, oh,

768
00:40:29,120 --> 00:40:31,160
Speaker 2: we're so new York focused and bucks from New York.

769
00:40:31,160 --> 00:40:33,600
Speaker 2: And maybe that's why a lot of people are focused

770
00:40:33,600 --> 00:40:36,320
Speaker 2: in on this all over the country right now, because

771
00:40:36,440 --> 00:40:38,880
Speaker 2: it's a playbook that I think you're going to see

772
00:40:39,000 --> 00:40:42,319
Speaker 2: replicated elsewhere, and you could even see replicated in the

773
00:40:42,320 --> 00:40:44,480
Speaker 2: twenty twenty eight election cycle, which I know feels like

774
00:40:44,520 --> 00:40:45,600
Speaker 2: an eternity.

775
00:40:45,120 --> 00:40:47,400
Speaker 3: Away, but it's not. I'll be here before you know it.

776
00:40:47,760 --> 00:40:54,959
Speaker 2: And socialist Mamdanni Kami Mamdani this is cut ten is saying, yeah,

777
00:40:54,960 --> 00:40:57,560
Speaker 2: what I did, this should be the playbook. This absolutely

778
00:40:57,600 --> 00:41:01,000
Speaker 2: will work in other cities in other states across America.

779
00:41:01,080 --> 00:41:03,440
Speaker 1: Play it. You're a proud Democratic socialist.

780
00:41:03,480 --> 00:41:06,120
Speaker 5: Do you think that is a platform that would work

781
00:41:06,480 --> 00:41:08,800
Speaker 5: for other candidates running in other parts of the country.

782
00:41:09,000 --> 00:41:09,560
Speaker 1: Absolutely.

783
00:41:09,600 --> 00:41:14,399
Speaker 6: I think ultimately this is a campaign about inequality, and

784
00:41:14,600 --> 00:41:16,359
Speaker 6: you don't have to live in the most expensive city

785
00:41:16,360 --> 00:41:19,160
Speaker 6: in the country to have experienced that inequality. Because it's

786
00:41:19,200 --> 00:41:22,920
Speaker 6: a national issue and what Americans coast to coast are

787
00:41:22,920 --> 00:41:25,480
Speaker 6: looking for are people who will fight for them. And

788
00:41:25,560 --> 00:41:27,759
Speaker 6: part of how we got to this point was through

789
00:41:27,760 --> 00:41:31,800
Speaker 6: the endorsements of Congressman Alexandria Ocasio Cortes and Senator Bernie Sanders,

790
00:41:31,840 --> 00:41:35,080
Speaker 6: who've been leading this fight against oligarchy across the country.

791
00:41:35,280 --> 00:41:38,400
Speaker 6: And I think that in focusing on working people and

792
00:41:38,440 --> 00:41:41,279
Speaker 6: their struggles, we also return back to what makes so

793
00:41:41,360 --> 00:41:43,799
Speaker 6: many of us proud to be Democrats in the first place.

794
00:41:45,320 --> 00:41:47,520
Speaker 2: Not shine away from it at all, Clay, I think

795
00:41:47,600 --> 00:41:52,680
Speaker 2: you will see more people try to play this. Remember

796
00:41:52,840 --> 00:41:54,880
Speaker 2: the whole thing about socialism is that all you have

797
00:41:54,920 --> 00:41:57,480
Speaker 2: to do you find as many people as possible who

798
00:41:57,520 --> 00:42:00,400
Speaker 2: are unhappy with some aspect of their day to day life,

799
00:42:00,600 --> 00:42:03,400
Speaker 2: and you tell them it's not your fault. There's nothing

800
00:42:03,400 --> 00:42:05,759
Speaker 2: that you can do to change this. Other people are

801
00:42:05,760 --> 00:42:08,600
Speaker 2: the reason for this. I'm going to hurt those other people,

802
00:42:08,800 --> 00:42:11,480
Speaker 2: usually financially, sometimes more than that, but I'm going to

803
00:42:11,560 --> 00:42:13,880
Speaker 2: hurt those other people and take their stuff and give

804
00:42:13,920 --> 00:42:16,399
Speaker 2: it to you and make your problems go away. It's

805
00:42:16,560 --> 00:42:21,960
Speaker 2: very appealing. It works for a reason, and so we

806
00:42:22,000 --> 00:42:23,719
Speaker 2: have not seen the end of this. You know, on

807
00:42:23,760 --> 00:42:26,480
Speaker 2: the right, we yell socialism and act like it's some

808
00:42:26,640 --> 00:42:30,200
Speaker 2: kind of argument ender a lot of people, a lot

809
00:42:30,200 --> 00:42:33,120
Speaker 2: of you, especially gen X and gen Z. They love

810
00:42:33,160 --> 00:42:35,760
Speaker 2: their socialism. They don't know what it is, but sounds

811
00:42:35,800 --> 00:42:36,680
Speaker 2: good to them.

812
00:42:36,840 --> 00:42:40,440
Speaker 1: The biggest flaw of capitalism is it provides the wealth

813
00:42:40,480 --> 00:42:45,439
Speaker 1: and luxury to think you don't need capitalism anymore. It's

814
00:42:45,640 --> 00:42:49,440
Speaker 1: just the lesson out there is you have to have

815
00:42:49,520 --> 00:42:52,319
Speaker 1: the freedom and the time and the wealth in order

816
00:42:52,360 --> 00:42:54,080
Speaker 1: to make these arguments. And I look at those Mom

817
00:42:54,160 --> 00:42:59,000
Speaker 1: Donnie celebration partners. Those aren't poor kids celebrating Mom Donnie winning,

818
00:43:00,200 --> 00:43:03,239
Speaker 1: not people struggling to put food in their mouths. I

819
00:43:03,280 --> 00:43:05,000
Speaker 1: know who they are. I know who they are.

820
00:43:05,960 --> 00:43:08,560
Speaker 2: I used to socialize in New York with a lot

821
00:43:08,600 --> 00:43:12,759
Speaker 2: of people that would fall into the Mamdani category. M clay,

822
00:43:12,840 --> 00:43:15,719
Speaker 2: you know I often mentioned Naval Ravakan. Did you see this?

823
00:43:15,840 --> 00:43:17,880
Speaker 2: I just thought this was a perfect one liner on

824
00:43:17,920 --> 00:43:22,960
Speaker 2: this whole situation. He wrote, socialism is the suicide pact

825
00:43:23,080 --> 00:43:27,479
Speaker 2: of mediocrity. It is absolutely true, and that really gets

826
00:43:27,520 --> 00:43:29,880
Speaker 2: the psychology of it. If there are people that have

827
00:43:29,960 --> 00:43:32,240
Speaker 2: more than me, people work you know that are doing

828
00:43:32,280 --> 00:43:35,239
Speaker 2: more than me, people that are happier and enjoying more

829
00:43:35,280 --> 00:43:35,560
Speaker 2: than me.

830
00:43:36,040 --> 00:43:37,000
Speaker 3: I want a.

831
00:43:36,960 --> 00:43:41,840
Speaker 2: System of power that will pull them down and promises.

832
00:43:41,400 --> 00:43:42,160
Speaker 1: To pull me up.

833
00:43:42,320 --> 00:43:45,239
Speaker 2: And even if it doesn't pull me up, as long

834
00:43:45,280 --> 00:43:48,560
Speaker 2: as it pulls them down, I'll be happy.

835
00:43:49,360 --> 00:43:52,319
Speaker 1: This is why I thought sports was such an important battleground,

836
00:43:52,600 --> 00:43:56,399
Speaker 1: because sports is the ultimate meritocracy. Best man or best

837
00:43:56,400 --> 00:43:58,920
Speaker 1: woman wins, and as soon as they can start to

838
00:43:59,000 --> 00:44:02,840
Speaker 1: create the idea that there's something wrong with that, or

839
00:44:02,880 --> 00:44:04,719
Speaker 1: that a boy can be a girl's champ and all

840
00:44:04,719 --> 00:44:08,480
Speaker 1: this other stuff, they destroy the underbelly of much of

841
00:44:08,600 --> 00:44:11,280
Speaker 1: success in the meritocracy in the country, which is embedded

842
00:44:11,280 --> 00:44:14,040
Speaker 1: in sports. You know, I made this argument something fun

843
00:44:14,080 --> 00:44:16,959
Speaker 1: for you guys to think about. Is there anything more

844
00:44:17,080 --> 00:44:22,640
Speaker 1: trusted in America today than the scoreboard? Think about that

845
00:44:22,719 --> 00:44:25,720
Speaker 1: for a minute, and where everybody sits around and argues

846
00:44:25,760 --> 00:44:30,520
Speaker 1: about everything the scoreboard in a game, if it's a

847
00:44:30,520 --> 00:44:32,759
Speaker 1: little bit off, everybody's standing up like that, Hey that

848
00:44:32,800 --> 00:44:34,920
Speaker 1: bucket was just made. Now. You may be upset with

849
00:44:34,960 --> 00:44:38,040
Speaker 1: officials every now and then, but I would argue that

850
00:44:38,160 --> 00:44:42,840
Speaker 1: the scoreboard might be the most trusted symbol in America today,

851
00:44:43,360 --> 00:44:45,279
Speaker 1: that we trust it to be able to tell us

852
00:44:45,280 --> 00:44:47,200
Speaker 1: who's winning and who's losing, and at the end, of

853
00:44:47,239 --> 00:44:49,160
Speaker 1: a game, everybody says, you know what that team won

854
00:44:49,280 --> 00:44:50,840
Speaker 1: or that team lost. Think about it for a minute.

855
00:44:50,880 --> 00:44:53,680
Speaker 1: I really think it might be number one. Look, I

856
00:44:53,680 --> 00:44:55,520
Speaker 1: want to tell you about James Carey. He joined the

857
00:44:55,600 --> 00:44:59,200
Speaker 1: United States Marine Corps after being inspired by his grandfather,

858
00:44:59,239 --> 00:45:03,239
Speaker 1: who also our nation. James loved being a marine, but

859
00:45:03,360 --> 00:45:06,480
Speaker 1: his life would change forever during a training exercise when

860
00:45:06,520 --> 00:45:10,520
Speaker 1: he lost consciousness and nearly drown. The incident resulted in

861
00:45:10,560 --> 00:45:14,080
Speaker 1: a brain injury that left James blind and unable to use,

862
00:45:14,120 --> 00:45:17,680
Speaker 1: his body, susceptible to memory loss, and it even brought

863
00:45:17,719 --> 00:45:22,480
Speaker 1: on dementia. Tunnel to Towers Foundation built James a specially

864
00:45:22,520 --> 00:45:25,919
Speaker 1: adapted smart home to enable him to live more independently.

865
00:45:26,360 --> 00:45:28,840
Speaker 1: Thanks to the generosity of friends like you, the lives

866
00:45:28,840 --> 00:45:32,400
Speaker 1: of America's heroes and their families are being improved. James

867
00:45:32,440 --> 00:45:35,640
Speaker 1: Carey and so many other service members and first responders

868
00:45:35,640 --> 00:45:37,759
Speaker 1: have paid a high price to keep our country and

869
00:45:37,800 --> 00:45:41,080
Speaker 1: our community safe. Through Tunnel to Towers, friends like you

870
00:45:41,160 --> 00:45:44,520
Speaker 1: have said thank you, not only through words, but through actions.

871
00:45:44,840 --> 00:45:47,759
Speaker 1: America's heroes need your help now more than ever. Help

872
00:45:47,840 --> 00:45:51,560
Speaker 1: heroes like James and their families donate eleven dollars a

873
00:45:51,560 --> 00:45:54,319
Speaker 1: month to tunnel to towers at t twot dot org.

874
00:45:54,680 --> 00:46:05,880
Speaker 1: That's t the number two T dot org. I really

875
00:46:05,920 --> 00:46:07,880
Speaker 1: want to say thanks. I've met a ton of you

876
00:46:08,080 --> 00:46:12,040
Speaker 1: up here in northern Michigan. I know a lot of

877
00:46:12,080 --> 00:46:14,640
Speaker 1: you say please don't say positive things about it up

878
00:46:14,680 --> 00:46:18,880
Speaker 1: here because it's getting so crowded, but it is amazing

879
00:46:18,960 --> 00:46:21,320
Speaker 1: in the summer up here. We've been all over the place.

880
00:46:21,880 --> 00:46:26,520
Speaker 1: Traverse City News Talk five eighty has been taking care

881
00:46:26,560 --> 00:46:30,680
Speaker 1: of us every single day here this week, and I

882
00:46:30,719 --> 00:46:33,000
Speaker 1: appreciate all of you bucks been down in Miami. I'm

883
00:46:33,000 --> 00:46:35,960
Speaker 1: sitting here in a jacket because it's only like sixty

884
00:46:35,960 --> 00:46:39,600
Speaker 1: five degrees today. But new affiliate that we have up

885
00:46:39,600 --> 00:46:43,279
Speaker 1: here in Traverse City, Michigan WTCM five eighty they've had

886
00:46:43,280 --> 00:46:47,280
Speaker 1: me all week. They have been fantastic couple of cuts

887
00:46:47,320 --> 00:46:49,480
Speaker 1: that I want to play for you because I think

888
00:46:49,480 --> 00:46:54,239
Speaker 1: they kind of get at the failures that CNN in

889
00:46:54,400 --> 00:46:58,520
Speaker 1: general has been having. First of all, every evening they

890
00:46:58,600 --> 00:47:02,080
Speaker 1: just have sort of the Star Wars universe of crazy

891
00:47:02,280 --> 00:47:08,160
Speaker 1: left wing peddler arguments. And Jamal Bowman, who lost his

892
00:47:08,320 --> 00:47:13,319
Speaker 1: Democrat primary and no longer has a job, was on

893
00:47:13,680 --> 00:47:16,399
Speaker 1: he is the guy who pulled the fire alarm and

894
00:47:16,680 --> 00:47:20,160
Speaker 1: was defeated in the New York City area district which

895
00:47:20,160 --> 00:47:24,839
Speaker 1: he was representing. Here he is saying, and I want

896
00:47:24,840 --> 00:47:28,040
Speaker 1: to get Buck's reaction to this, that he was confronted

897
00:47:28,120 --> 00:47:31,640
Speaker 1: on the street and heckled, and this is what he

898
00:47:31,760 --> 00:47:34,920
Speaker 1: has to deal with on a regular basis. Listen, I

899
00:47:34,960 --> 00:47:37,440
Speaker 1: don't want to fight. I just want to chill. I

900
00:47:37,520 --> 00:47:39,160
Speaker 1: just want to know. I was in I was walking

901
00:47:39,160 --> 00:47:40,160
Speaker 1: down the street the other day.

902
00:47:40,239 --> 00:47:43,120
Speaker 7: Some white dude, ballhead, he looked me, called me a

903
00:47:43,120 --> 00:47:45,520
Speaker 7: piece of in my face, said I'm gonna get what's

904
00:47:45,560 --> 00:47:48,320
Speaker 7: coming to me. Why not deal with that dog in

905
00:47:48,600 --> 00:47:51,759
Speaker 7: Yaker's New York can tell you I'm not making that up.

906
00:47:53,400 --> 00:47:55,520
Speaker 1: Do you buy it? Buck? Do you think Jamal Bowman?

907
00:47:56,400 --> 00:47:58,439
Speaker 3: I think he's making it up. Yes, I think he's

908
00:47:58,440 --> 00:47:58,880
Speaker 3: making it up.

909
00:47:58,960 --> 00:48:02,840
Speaker 2: Jamal Bowman, I've seen bench three plates on each side.

910
00:48:03,280 --> 00:48:05,799
Speaker 1: He's a big dude. H Yeah.

911
00:48:05,880 --> 00:48:08,160
Speaker 2: I mean so, I just I don't buy this story.

912
00:48:08,200 --> 00:48:09,799
Speaker 2: And it's one of these things you can never prove

913
00:48:09,920 --> 00:48:10,520
Speaker 2: or disprove.

914
00:48:11,040 --> 00:48:11,480
Speaker 1: But I don't.

915
00:48:11,560 --> 00:48:13,800
Speaker 2: I don't believe that somebody went up to him in Yonkers.

916
00:48:13,840 --> 00:48:15,799
Speaker 2: And you know, I'm just glad he didn't say that.

917
00:48:15,880 --> 00:48:18,280
Speaker 2: You know, the guy yelled like this is a maga

918
00:48:18,280 --> 00:48:20,360
Speaker 2: country or whatever like this just sounds fake to me.

919
00:48:21,200 --> 00:48:27,560
Speaker 1: I just don't buy very often big dudes being confronted

920
00:48:27,920 --> 00:48:32,000
Speaker 1: by probably small and if the guy who confronted Jamal

921
00:48:32,040 --> 00:48:36,279
Speaker 1: Bowman would have to be a heavyweight boxer or an

922
00:48:36,400 --> 00:48:41,560
Speaker 1: NFL defensive lineman to be appreciably bigger than Jamal Momen.

923
00:48:41,600 --> 00:48:43,080
Speaker 1: First of all, I don't think most people know who

924
00:48:43,160 --> 00:48:45,480
Speaker 1: Jamal Bowman is, and I don't mean that to be

925
00:48:45,840 --> 00:48:48,640
Speaker 1: to insult him. I just I don't think most people

926
00:48:48,640 --> 00:48:51,040
Speaker 1: in New York City have any idea who he is.

927
00:48:51,120 --> 00:48:54,560
Speaker 1: So the percentage of people that would hate him enough

928
00:48:54,719 --> 00:48:58,279
Speaker 1: to taunt him face to face and know him is

929
00:48:58,360 --> 00:49:01,000
Speaker 1: what like one of New York.

930
00:49:01,440 --> 00:49:04,440
Speaker 2: Also, the way he tells the story, did he did

931
00:49:04,480 --> 00:49:07,080
Speaker 2: he do something like rude to somebody and then they

932
00:49:07,120 --> 00:49:11,000
Speaker 2: responded because they're supposed to think? I guess that someone

933
00:49:11,400 --> 00:49:14,080
Speaker 2: came after him because he's Jamal Bowman. I don't know,

934
00:49:14,120 --> 00:49:16,799
Speaker 2: maybe he was. Maybe he was having a loud speakerphone

935
00:49:16,800 --> 00:49:19,920
Speaker 2: conversation or doing something that sets people off that made

936
00:49:20,040 --> 00:49:22,319
Speaker 2: you know, I gave somebody on my plane ride over

937
00:49:22,560 --> 00:49:26,000
Speaker 2: to France Clay an extra set of headphones. Oh no,

938
00:49:26,120 --> 00:49:28,960
Speaker 2: Because I turned around, I said, I have a spare.

939
00:49:29,640 --> 00:49:30,520
Speaker 2: I have a spare.

940
00:49:30,640 --> 00:49:31,839
Speaker 1: He was wise. It was a guy.

941
00:49:32,400 --> 00:49:33,040
Speaker 3: I'm just gonna say.

942
00:49:33,040 --> 00:49:37,240
Speaker 2: It's a white guy in his fifties, okay, very well dressed,

943
00:49:37,320 --> 00:49:40,760
Speaker 2: like very you know, uh hoity toity at like Louis Vuitton,

944
00:49:40,840 --> 00:49:45,160
Speaker 2: baggage and uh. And he thought he could watch his

945
00:49:45,239 --> 00:49:48,840
Speaker 2: iPad like he's a little kid with no headphones on.

946
00:49:49,280 --> 00:49:52,000
Speaker 2: So I actually had a spare, had the wired set

947
00:49:52,040 --> 00:49:53,960
Speaker 2: in my bag, and I said, here you go, here's

948
00:49:54,000 --> 00:49:56,120
Speaker 2: a wired set of headphones. And he kind of stared

949
00:49:56,160 --> 00:49:58,640
Speaker 2: me down for a second and realized, like, so, now,

950
00:49:58,640 --> 00:49:59,480
Speaker 2: what's your excuse?

951
00:50:00,160 --> 00:50:02,399
Speaker 3: So he put them on. Now I have to watch

952
00:50:02,440 --> 00:50:02,759
Speaker 3: them though.

953
00:50:03,360 --> 00:50:05,160
Speaker 1: That is really really so he gave him back to

954
00:50:05,160 --> 00:50:06,479
Speaker 1: you at the end of the day. He did trip.

955
00:50:06,520 --> 00:50:09,000
Speaker 3: He rolled them up, rolled them up nicely, and gave

956
00:50:09,040 --> 00:50:10,640
Speaker 3: them back to me at the end. So now this

957
00:50:10,800 --> 00:50:11,480
Speaker 3: is my new move.

958
00:50:11,840 --> 00:50:14,080
Speaker 2: I'm going to carry an extra set of headphones in

959
00:50:14,120 --> 00:50:18,200
Speaker 2: public places and offer headphones to people who are on

960
00:50:18,280 --> 00:50:20,960
Speaker 2: the side of barbarism and think that we want to

961
00:50:21,000 --> 00:50:24,759
Speaker 2: hear your cell phone conversation or your iPad noises or

962
00:50:24,760 --> 00:50:25,440
Speaker 2: whatever it is.

963
00:50:25,719 --> 00:50:28,600
Speaker 1: This is funny because on my flight up to Michigan

964
00:50:28,800 --> 00:50:33,720
Speaker 1: with the Travis Boys, my oldest son wanted to watch

965
00:50:34,200 --> 00:50:38,879
Speaker 1: Trump's address about the bombing of Iran, did not have

966
00:50:39,080 --> 00:50:42,960
Speaker 1: wireless phones or his or a plug to put in,

967
00:50:43,560 --> 00:50:45,880
Speaker 1: and my wife, who was in the row in front

968
00:50:45,920 --> 00:50:50,279
Speaker 1: of us, turned around and complained about our oldest son

969
00:50:51,000 --> 00:50:54,200
Speaker 1: making too much noise while he was watching Trump's address.

970
00:50:54,280 --> 00:50:57,520
Speaker 1: So she would have certainly appreciated if you had had

971
00:50:57,560 --> 00:50:59,719
Speaker 1: an extra pair of headphones for my son. All right,

972
00:50:59,760 --> 00:51:03,760
Speaker 1: that Jamal Bowman claiming that he's this also always reminds

973
00:51:03,800 --> 00:51:10,720
Speaker 1: me what there are people who behave awfully towards famous people.

974
00:51:11,640 --> 00:51:16,400
Speaker 1: But the idea that the Jsse Smallett this is Maga country.

975
00:51:16,640 --> 00:51:19,960
Speaker 1: The number of Trump voters who knew who use Smallett

976
00:51:20,120 --> 00:51:24,359
Speaker 1: is or was in that era was zero. I mean,

977
00:51:24,520 --> 00:51:27,360
Speaker 1: there was nobody watching what was the show Empire. The

978
00:51:27,480 --> 00:51:31,080
Speaker 1: number of Trump voters watching Empire frequently enough that they

979
00:51:31,120 --> 00:51:35,360
Speaker 1: knew who Jusse Smallett was that they would feel compelled

980
00:51:35,400 --> 00:51:37,160
Speaker 1: to not only know who he was, but know his

981
00:51:37,280 --> 00:51:41,040
Speaker 1: politics and taunt him in Chicago at two am. So

982
00:51:41,120 --> 00:51:42,600
Speaker 1: one of the craziest stories.

983
00:51:42,360 --> 00:51:44,799
Speaker 2: On a freezing called winter night, to lie in wait

984
00:51:45,480 --> 00:51:49,120
Speaker 2: with the deuse, Yes, and some kind of thing to

985
00:51:49,200 --> 00:51:53,080
Speaker 2: spray on him because you're that angry about Jesse Smollette,

986
00:51:53,080 --> 00:51:55,520
Speaker 2: who nobody who voted for Trump had any idea whom

987
00:51:55,520 --> 00:51:55,880
Speaker 2: he was.

988
00:51:56,040 --> 00:51:58,520
Speaker 3: Yes, yeah, that would be. That was a strange one,

989
00:51:59,080 --> 00:51:59,920
Speaker 3: and you would.

990
00:51:59,640 --> 00:52:03,879
Speaker 1: Think that the media might have actually questioned some of that,

991
00:52:04,000 --> 00:52:07,839
Speaker 1: particularly because our good friend Jake Tapper wants all of

992
00:52:07,880 --> 00:52:11,520
Speaker 1: you to know what the role of the media really is.

993
00:52:11,600 --> 00:52:13,600
Speaker 1: So you got to see an in jabal bowman saying

994
00:52:13,640 --> 00:52:16,239
Speaker 1: he's getting taunted because of who he is. Here is

995
00:52:16,360 --> 00:52:20,160
Speaker 1: Jake Tapper lecturing everyone about what it is. The job

996
00:52:20,200 --> 00:52:23,680
Speaker 1: of the media really is, asking questions.

997
00:52:23,760 --> 00:52:27,120
Speaker 2: Is literally our job, demanding facts and answers instead of

998
00:52:27,280 --> 00:52:32,920
Speaker 2: just taking a president's word for it. No, that's actually

999
00:52:32,960 --> 00:52:35,319
Speaker 2: that is That's actually not their job, though. Is This

1000
00:52:35,360 --> 00:52:38,040
Speaker 2: is where I have a really I have a big

1001
00:52:38,040 --> 00:52:41,120
Speaker 2: bone to pick with all these people who call themselves journalists.

1002
00:52:41,120 --> 00:52:43,680
Speaker 2: We have seen what their job is, depending on where

1003
00:52:43,680 --> 00:52:47,319
Speaker 2: they work. The job of a CNN employee is to

1004
00:52:47,520 --> 00:52:49,839
Speaker 2: tell Democrats in the audience what they want to hear

1005
00:52:50,080 --> 00:52:53,719
Speaker 2: and to hurt Republicans in terms of public perception in

1006
00:52:53,760 --> 00:52:55,960
Speaker 2: every way that they can. That is the job. That's

1007
00:52:56,040 --> 00:52:58,640
Speaker 2: actually the job. If you don't do that, you will

1008
00:52:58,640 --> 00:53:02,279
Speaker 2: be fired. So that what the job is this, it's

1009
00:53:02,280 --> 00:53:04,920
Speaker 2: to ask questions and get the truth to the people.

1010
00:53:05,280 --> 00:53:07,360
Speaker 3: That is a lie that is meant.

1011
00:53:07,160 --> 00:53:10,919
Speaker 2: To cover for the actual job, which is to tell

1012
00:53:10,960 --> 00:53:14,280
Speaker 2: Democrats what they want to hear and attack Republicans in every.

1013
00:53:14,160 --> 00:53:17,279
Speaker 1: Way you can. What do you think. Let's pretend that

1014
00:53:17,520 --> 00:53:20,799
Speaker 1: suddenly you or I were in charge of CNN and

1015
00:53:20,840 --> 00:53:23,000
Speaker 1: they said, hey, we've been listening to your radio show.

1016
00:53:23,920 --> 00:53:24,640
Speaker 1: It's phenomenal.

1017
00:53:24,719 --> 00:53:27,440
Speaker 2: They should do it as we would shake that place up.

1018
00:53:27,520 --> 00:53:32,680
Speaker 2: It'd be amazing. Okay, so is it salvageable? Like, let

1019
00:53:32,680 --> 00:53:33,959
Speaker 2: me just give you a hypothetical.

1020
00:53:34,480 --> 00:53:38,479
Speaker 1: If Meghan Kelly, who obviously had a very successful show on.

1021
00:53:38,440 --> 00:53:40,680
Speaker 2: Fox News, look at you, look at you always given Mammy.

1022
00:53:40,800 --> 00:53:43,239
Speaker 2: Look Meghan's great. She was always great to me in

1023
00:53:43,280 --> 00:53:45,239
Speaker 2: my career at everything else. But she's always number one

1024
00:53:45,239 --> 00:53:47,840
Speaker 2: on your list for who's gonna I think.

1025
00:53:47,680 --> 00:53:52,799
Speaker 1: She's the smartest, most talented person in digital space that

1026
00:53:52,880 --> 00:53:55,960
Speaker 1: I don't work with. Does that make sense? So? Wow?

1027
00:53:56,040 --> 00:53:58,120
Speaker 3: Who would you put top of this and send this

1028
00:53:58,160 --> 00:53:58,680
Speaker 3: to Meghan.

1029
00:53:58,880 --> 00:54:01,400
Speaker 1: Well, I think she is. I think she asks really

1030
00:54:01,440 --> 00:54:04,080
Speaker 1: smart questions. I think she gets to the heart of

1031
00:54:04,160 --> 00:54:07,200
Speaker 1: issues if I were running so But the question here is,

1032
00:54:07,840 --> 00:54:12,000
Speaker 1: let's pretend that I am running CNN and I say, hey,

1033
00:54:12,200 --> 00:54:14,160
Speaker 1: I want to change. We kind of get away from

1034
00:54:14,200 --> 00:54:18,279
Speaker 1: the Jake Tapper world. We can't have this stenographer for

1035
00:54:18,600 --> 00:54:22,120
Speaker 1: the Democrat powerful anymore. We're going to shake things up.

1036
00:54:23,400 --> 00:54:25,960
Speaker 1: Could Megan Kelly, who I think I'm just telling you,

1037
00:54:26,000 --> 00:54:29,040
Speaker 1: I think is the most talented independent voice in media today?

1038
00:54:29,040 --> 00:54:31,279
Speaker 2: All right, all right, I mean I think Megan's great too,

1039
00:54:31,280 --> 00:54:33,000
Speaker 2: But yes, okay, could she be alone?

1040
00:54:33,960 --> 00:54:37,640
Speaker 1: Would she be able to produce an audience? Or CNN's

1041
00:54:37,760 --> 00:54:41,080
Speaker 1: brand so broken that even if you put somebody who's

1042
00:54:41,080 --> 00:54:44,640
Speaker 1: good at television and good at doing a show, people

1043
00:54:44,719 --> 00:54:47,600
Speaker 1: wouldn't respond to it because their brand is broken. In

1044
00:54:47,600 --> 00:54:50,279
Speaker 1: other words, how salvageable do you think it is? Right?

1045
00:54:50,440 --> 00:54:55,759
Speaker 2: You would have to accept that during the change process

1046
00:54:55,920 --> 00:55:00,360
Speaker 2: from being a Democrat propaganda outlet, you would lose a

1047
00:55:00,480 --> 00:55:05,120
Speaker 2: lot of audience and then have to rebuild audience. Yeah,

1048
00:55:05,160 --> 00:55:11,000
Speaker 2: the audience of CNN right now does not want anything

1049
00:55:11,040 --> 00:55:13,759
Speaker 2: to be told to them that is outside of what

1050
00:55:13,840 --> 00:55:17,879
Speaker 2: the DNC would approve and send themselves. They don't want

1051
00:55:17,920 --> 00:55:20,480
Speaker 2: to hear it, and so you would have to accept

1052
00:55:20,520 --> 00:55:25,359
Speaker 2: that there'd be that painful ratings transition period and then

1053
00:55:25,400 --> 00:55:29,759
Speaker 2: I think you could build into something else. But that's

1054
00:55:30,080 --> 00:55:32,840
Speaker 2: you know, that's a risk that executives at these places

1055
00:55:32,840 --> 00:55:35,160
Speaker 2: are very rarely willing to take any risks.

1056
00:55:36,120 --> 00:55:38,200
Speaker 3: I think CNN's brand is in terminal decline.

1057
00:55:38,360 --> 00:55:41,560
Speaker 2: I think CNN will exist in kind of the way

1058
00:55:41,560 --> 00:55:44,680
Speaker 2: that ABC News in some of these places. Yeah, sure

1059
00:55:44,680 --> 00:55:47,960
Speaker 2: they'll have some audience, but a shadow of their former.

1060
00:55:48,040 --> 00:55:50,120
Speaker 2: Now ABC News still has a pretty big TV audience,

1061
00:55:50,160 --> 00:55:52,400
Speaker 2: but it's a shadow of what it was twenty or

1062
00:55:52,400 --> 00:55:55,839
Speaker 2: thirty or thirty years ago. So I think that that's

1063
00:55:55,840 --> 00:55:57,399
Speaker 2: where I don't think CNN is going to be able

1064
00:55:57,400 --> 00:55:58,200
Speaker 2: to turn this thing around.

1065
00:55:58,280 --> 00:56:01,600
Speaker 1: I know, to look at it, surely from a business

1066
00:56:01,640 --> 00:56:06,759
Speaker 1: market perspective. If Fox News has around seventy percent of

1067
00:56:06,800 --> 00:56:09,239
Speaker 1: the news audience on cable, and it does, and it's

1068
00:56:09,280 --> 00:56:14,640
Speaker 1: got an incredibly loyal brand, what is CNN's angle Because

1069
00:56:14,640 --> 00:56:19,279
Speaker 1: that leaves thirty percent. MSNBC, whatever you think about them,

1070
00:56:20,000 --> 00:56:23,680
Speaker 1: has the left wing angle covered. Why would you not

1071
00:56:23,719 --> 00:56:26,399
Speaker 1: go after some of the seventy. This is why.

1072
00:56:26,560 --> 00:56:29,840
Speaker 2: And I was there and observe this when it happens. CNN,

1073
00:56:30,560 --> 00:56:34,120
Speaker 2: under Jeff Zucker's leadership, if you can call it, that

1074
00:56:35,000 --> 00:56:41,719
Speaker 2: ignominiously ended in scandal. CNN decided to become MSNBC with

1075
00:56:41,760 --> 00:56:46,960
Speaker 2: different letters, anti trump Ism, completely crazy, treat all the

1076
00:56:47,000 --> 00:56:51,319
Speaker 2: actual conservatives who would have come on your air like trash.

1077
00:56:52,040 --> 00:56:55,040
Speaker 3: This is what they did. And so that space that

1078
00:56:55,080 --> 00:56:55,920
Speaker 3: they were at least.

1079
00:56:55,760 --> 00:57:01,680
Speaker 2: Theoretically occupying of somewhere in betwe between Fox and MSNBC,

1080
00:57:01,960 --> 00:57:05,839
Speaker 2: that just became untenable. They were just another version there

1081
00:57:05,840 --> 00:57:10,680
Speaker 2: were MSNBC with less honesty, and that is not a

1082
00:57:10,719 --> 00:57:12,759
Speaker 2: tenable brand. That that's not a place where you can

1083
00:57:12,800 --> 00:57:13,120
Speaker 2: really be.

1084
00:57:13,520 --> 00:57:15,239
Speaker 1: And so that's what ended up happening to them. But

1085
00:57:15,400 --> 00:57:16,680
Speaker 1: I'm happy.

1086
00:57:16,680 --> 00:57:19,640
Speaker 2: I mean, if you had told me, if you had

1087
00:57:19,640 --> 00:57:21,400
Speaker 2: told me when the tea Party was getting their thing going,

1088
00:57:21,440 --> 00:57:24,200
Speaker 2: don't worry one day. Not only will Trump call CNN

1089
00:57:24,200 --> 00:57:28,040
Speaker 2: fake news to their faces, but he'll essentially destroy the

1090
00:57:28,360 --> 00:57:31,080
Speaker 2: death star of propaganda that is CNN.

1091
00:57:31,400 --> 00:57:33,720
Speaker 1: I would have said that sounds amazing, And we're pretty

1092
00:57:33,800 --> 00:57:37,880
Speaker 1: much there, oh, totally. And again they only have about

1093
00:57:37,920 --> 00:57:41,080
Speaker 1: ten or fifteen percent of the overall news marketplace, and

1094
00:57:41,120 --> 00:57:44,720
Speaker 1: you know what it really comes through. It used to

1095
00:57:44,760 --> 00:57:49,160
Speaker 1: be when big news happened, people would turn on CNN

1096
00:57:49,400 --> 00:57:52,160
Speaker 1: because they trusted them to get big news. I still

1097
00:57:52,160 --> 00:57:54,640
Speaker 1: think about CNN back in the day a Bernard Shaw

1098
00:57:55,080 --> 00:57:57,880
Speaker 1: and the scud stud whatever that guy's name was, during

1099
00:57:57,920 --> 00:58:02,040
Speaker 1: the First Gulf War, when that really made CNN's brand

1100
00:58:02,200 --> 00:58:05,840
Speaker 1: as somebody that could you could trust. Now they don't

1101
00:58:05,840 --> 00:58:08,720
Speaker 1: even get turned on when big news happens. Fox News

1102
00:58:08,840 --> 00:58:11,800
Speaker 1: I think had four point nine million viewers when they

1103
00:58:11,840 --> 00:58:15,400
Speaker 1: Iran attacks happened. Nobody else was even close to them.

1104
00:58:15,920 --> 00:58:19,320
Speaker 1: And it just feels like CNN is in a terminal decline.

1105
00:58:19,680 --> 00:58:22,000
Speaker 1: And I wonder at this point if there's anything they

1106
00:58:22,000 --> 00:58:26,040
Speaker 1: could do to change the trajectory that they're on. And

1107
00:58:26,200 --> 00:58:28,440
Speaker 1: I don't know that they could, but I would be

1108
00:58:28,520 --> 00:58:31,480
Speaker 1: trying to undertake radical change I think if I were

1109
00:58:31,480 --> 00:58:34,240
Speaker 1: in charge of CNN. Yeah, I mean it would have

1110
00:58:34,360 --> 00:58:34,640
Speaker 1: to be.

1111
00:58:35,160 --> 00:58:37,920
Speaker 2: You know, when you're doing a you're doing some housing

1112
00:58:37,960 --> 00:58:41,120
Speaker 2: construction stuff, but when you're doing a renovation and people

1113
00:58:41,160 --> 00:58:43,440
Speaker 2: say I'm going to tear it down to the studs,

1114
00:58:44,200 --> 00:58:46,600
Speaker 2: CNN really needs to be torn down to the studs.

1115
00:58:46,920 --> 00:58:49,400
Speaker 2: You need to get all the way, you know, get

1116
00:58:49,440 --> 00:58:52,240
Speaker 2: all the way into the dry wall and really pull

1117
00:58:52,280 --> 00:58:53,880
Speaker 2: things apart in there to rebuild.

1118
00:58:53,920 --> 00:58:55,560
Speaker 1: You can't just do a little code of paint and

1119
00:58:55,560 --> 00:58:58,720
Speaker 1: call it a day. That's totally what's, by the way,

1120
00:58:58,720 --> 00:59:02,640
Speaker 1: happening with the intelligence agencies right now too. We'll see

1121
00:59:02,760 --> 00:59:04,720
Speaker 1: how that's going. We are.

1122
00:59:05,160 --> 00:59:07,640
Speaker 2: If you consider yourself pro life, and I certainly do,

1123
00:59:07,800 --> 00:59:09,280
Speaker 2: here's something to pay attention to.

1124
00:59:09,720 --> 00:59:10,960
Speaker 1: Despite overturning Roe v.

1125
00:59:11,040 --> 00:59:13,600
Speaker 2: Wade, which was the correct Supreme Court decision three years ago,

1126
00:59:14,000 --> 00:59:17,840
Speaker 2: the number of abortions increased one percent last year. That

1127
00:59:17,960 --> 00:59:21,200
Speaker 2: translates to over one hundred thousand additional babies lives lost

1128
00:59:21,240 --> 00:59:24,440
Speaker 2: in just one year. Every one of these lives was precious.

1129
00:59:24,840 --> 00:59:27,480
Speaker 2: The team working at Preborn Clinics are on the front

1130
00:59:27,480 --> 00:59:30,560
Speaker 2: lines advocating for these unborn babies who never had the

1131
00:59:30,640 --> 00:59:33,760
Speaker 2: chance to grow up. Preborn's Clinics are strategically located in

1132
00:59:33,800 --> 00:59:37,240
Speaker 2: the country's highest abortion areas, ready to support women making

1133
00:59:37,240 --> 00:59:41,479
Speaker 2: decisions about their baby's futures. Through compassionate love, loving care,

1134
00:59:41,560 --> 00:59:45,080
Speaker 2: and free ultrasounds. Preborn helps women connect with the life

1135
00:59:45,120 --> 00:59:48,760
Speaker 2: growing inside of them, and ultrasound doubles a Baby's Chance

1136
00:59:48,800 --> 00:59:52,200
Speaker 2: at Life. One ultrasound is only twenty eight dollars. Five

1137
00:59:52,280 --> 00:59:55,920
Speaker 2: ultrasounds one hundred and forty dollars. To donate, dial pound

1138
00:59:55,960 --> 00:59:59,320
Speaker 2: two five zero and say the keyword baby. That's pound

1139
00:59:59,320 --> 01:00:03,080
Speaker 2: two five zero Hero Say Baby, or visit preborn dot com,

1140
01:00:03,080 --> 01:00:06,880
Speaker 2: slash buck preborn dot com slash b u c K

1141
01:00:07,200 --> 01:00:08,520
Speaker 2: sponsored by Preboard