1
00:00:05,280 --> 00:00:08,280
Speaker 1: This is what happens when the fourth Turning meets fifth

2
00:00:08,320 --> 00:00:09,600
Speaker 1: generation warfare.

3
00:00:09,640 --> 00:00:19,239
Speaker 2: Really a commentator, international social media sensation and former Navy

4
00:00:19,320 --> 00:00:20,280
Speaker 2: intelligence veteran.

5
00:00:20,480 --> 00:00:24,119
Speaker 3: This is Human Events with your host, Jack Kasovic, christ

6
00:00:24,400 --> 00:00:24,959
Speaker 3: Is King.

7
00:00:25,160 --> 00:00:28,920
Speaker 1: Ladies and gentlemen, welcome board today's edition of Human Events Daily.

8
00:00:28,960 --> 00:00:32,479
Speaker 1: We're here on the sidelines of the Student Action Summit.

9
00:00:32,600 --> 00:00:35,520
Speaker 1: And you know what we've done is this is incredible

10
00:00:35,560 --> 00:00:37,960
Speaker 1: that we have so many access, so much access to

11
00:00:38,000 --> 00:00:41,800
Speaker 1: these high profile guests, put together a series of interviews

12
00:00:42,120 --> 00:00:45,480
Speaker 1: for today's episode, and of course we're leading it off

13
00:00:45,520 --> 00:00:48,840
Speaker 1: with the most high profile of them all, the man

14
00:00:48,920 --> 00:00:54,319
Speaker 1: who founded the Body of Water that we're sitting right

15
00:00:54,360 --> 00:00:57,120
Speaker 1: next to here in Tampa, Florida, to the Gulf of America.

16
00:00:57,200 --> 00:00:59,800
Speaker 3: It's Kevin Pisovic. That's right. Thanks thanks for having me

17
00:00:59,800 --> 00:01:00,200
Speaker 3: on again.

18
00:01:00,320 --> 00:01:00,560
Speaker 4: Jack.

19
00:01:01,320 --> 00:01:04,240
Speaker 5: Yeah, right outside, right outside the door here we're at

20
00:01:04,240 --> 00:01:07,160
Speaker 5: the table and the shores of the Gulf of form America.

21
00:01:07,240 --> 00:01:09,240
Speaker 3: Yes, sir, that's incredible. You got to get out there,

22
00:01:09,520 --> 00:01:10,080
Speaker 3: got to get out.

23
00:01:10,600 --> 00:01:10,800
Speaker 5: Yeah.

24
00:01:11,200 --> 00:01:15,040
Speaker 3: Wave runner, a wave runner, I'll do it. I'm in. Hey,

25
00:01:15,080 --> 00:01:17,080
Speaker 3: may we go to clear water? See Hogan if you

26
00:01:17,120 --> 00:01:17,800
Speaker 3: want Hogan?

27
00:01:17,880 --> 00:01:20,440
Speaker 1: Okay, all right, Well, don't tell the boys that because

28
00:01:20,480 --> 00:01:22,520
Speaker 1: if you promise the boys Hogan, they want Hogan.

29
00:01:22,600 --> 00:01:23,800
Speaker 3: That's true, That's true.

30
00:01:24,000 --> 00:01:26,520
Speaker 1: They want to see the man, and he's lived there. Yeah,

31
00:01:26,560 --> 00:01:28,040
Speaker 1: but I understand he has he has some help, is

32
00:01:28,160 --> 00:01:29,640
Speaker 1: usual recently, That's true.

33
00:01:29,680 --> 00:01:32,000
Speaker 5: Yeah, I saw Rick Flair's just got a surgery as well.

34
00:01:32,200 --> 00:01:33,080
Speaker 3: Yeah, it's out.

35
00:01:32,959 --> 00:01:35,880
Speaker 1: Here, man, it's happening for that. But but we know

36
00:01:36,000 --> 00:01:37,560
Speaker 1: Hulk Cogan is the immortal.

37
00:01:37,600 --> 00:01:38,600
Speaker 3: No, No, it was great.

38
00:01:38,640 --> 00:01:40,399
Speaker 5: It was great being on the show and throwing the

39
00:01:40,400 --> 00:01:41,679
Speaker 5: T shirts out yesterday.

40
00:01:41,840 --> 00:01:42,760
Speaker 4: That was a lot of fun.

41
00:01:42,800 --> 00:01:45,480
Speaker 3: He did so much stuff and and Golf of America.

42
00:01:45,720 --> 00:01:46,080
Speaker 4: Merchi.

43
00:01:46,680 --> 00:01:50,160
Speaker 1: Just Kevin, tell me something about you know, this obviously

44
00:01:50,240 --> 00:01:52,960
Speaker 1: is a student event, so it's younger. Tell me about

45
00:01:53,320 --> 00:01:56,680
Speaker 1: the reaction that you're seeing from college and high school

46
00:01:56,760 --> 00:01:57,120
Speaker 1: kids here.

47
00:01:58,000 --> 00:02:01,280
Speaker 5: The reaction has been that it's golden really, I mean

48
00:02:01,320 --> 00:02:04,280
Speaker 5: to speak to like the golden age. You see, people

49
00:02:04,320 --> 00:02:08,799
Speaker 5: aren't as scared anymore to talk about conservative values, talk

50
00:02:08,840 --> 00:02:11,720
Speaker 5: about tradition. They're in Bolden and they're in bold Is,

51
00:02:11,800 --> 00:02:17,000
Speaker 5: starting families and starting businesses, getting active on campus. And

52
00:02:17,919 --> 00:02:20,720
Speaker 5: it's just something I've never seen when I was going

53
00:02:20,760 --> 00:02:23,520
Speaker 5: to college. I mean, they always had like a debate club,

54
00:02:23,680 --> 00:02:28,040
Speaker 5: Republican Democrat club, but nothing quite like Turning Point has done.

55
00:02:28,120 --> 00:02:31,040
Speaker 5: And credit to Charlie Kirk, like, I think it's an

56
00:02:31,080 --> 00:02:34,320
Speaker 5: amazing concept that he'd originally started.

57
00:02:34,639 --> 00:02:36,480
Speaker 3: And now we are seeing.

58
00:02:36,440 --> 00:02:40,360
Speaker 1: You're seeing those kids who were in the first iteration

59
00:02:40,800 --> 00:02:46,600
Speaker 1: of Turning Point when they were eighteen nineteen, now they're

60
00:02:46,639 --> 00:02:50,120
Speaker 1: in their mid twenties, some from even thirty. Now they're

61
00:02:50,160 --> 00:02:54,960
Speaker 1: totally on board, highly online, totally activated, totally engaged.

62
00:02:55,120 --> 00:02:57,959
Speaker 5: I would look like Beavis and butthead at that age

63
00:02:58,000 --> 00:03:01,040
Speaker 5: compared to these guys coming up, they're so well pushed,

64
00:03:01,200 --> 00:03:04,799
Speaker 5: guess so yeah, they're so well put together and thanks

65
00:03:04,840 --> 00:03:07,919
Speaker 5: to social media, so litive, so impressive. You can get

66
00:03:08,120 --> 00:03:11,160
Speaker 5: access to information so much faster these days. There's so

67
00:03:11,240 --> 00:03:14,040
Speaker 5: much more knowledgeable than I was at that age. And

68
00:03:14,520 --> 00:03:18,080
Speaker 5: but it's amazing like young guys selling T shirts, selling

69
00:03:18,080 --> 00:03:21,600
Speaker 5: Golf of America t shirts and making businesses like young

70
00:03:22,080 --> 00:03:25,239
Speaker 5: young and it really is an amazing thing to see.

71
00:03:25,280 --> 00:03:27,040
Speaker 5: And that's why I love coming down to these events

72
00:03:27,120 --> 00:03:28,000
Speaker 5: and just showing us what.

73
00:03:28,360 --> 00:03:33,440
Speaker 1: Charlie's doing is put together and an absolute national force.

74
00:03:33,960 --> 00:03:35,880
Speaker 1: And you see you see in the polls, you see

75
00:03:35,880 --> 00:03:38,280
Speaker 1: it in voting trends. You can see it out there all.

76
00:03:38,200 --> 00:03:39,760
Speaker 3: The way from grassroots to the top.

77
00:03:39,800 --> 00:03:41,960
Speaker 5: Didn't you say it to me recently, Like this is

78
00:03:42,000 --> 00:03:44,440
Speaker 5: one of the younger administrations with Toron.

79
00:03:44,560 --> 00:03:46,640
Speaker 3: That's a great point. Actually, yes, it is, Yeah, it is.

80
00:03:46,680 --> 00:03:48,240
Speaker 1: It's if you look at terms of the age, the

81
00:03:48,280 --> 00:03:50,760
Speaker 1: average aide of the cabinet is way down. You see

82
00:03:50,800 --> 00:03:53,840
Speaker 1: a lot of cabinet members in their forties. Staffer wise,

83
00:03:53,920 --> 00:03:55,800
Speaker 1: you see a lot of people and uh, you know,

84
00:03:56,000 --> 00:03:56,800
Speaker 1: the mainstream media.

85
00:03:56,840 --> 00:03:59,160
Speaker 3: I would probably hate to know how many former tourning

86
00:03:59,240 --> 00:04:02,800
Speaker 3: Point people are now in the administration. It's none, right,

87
00:04:02,840 --> 00:04:04,119
Speaker 3: it's no, no, it's zero.

88
00:04:04,160 --> 00:04:04,840
Speaker 4: It's totally zero.

89
00:04:04,840 --> 00:04:07,840
Speaker 3: What are you talking about. I can't think of a single.

90
00:04:07,600 --> 00:04:10,920
Speaker 1: One, no, neither, no, definitely not no, definitely not any

91
00:04:11,080 --> 00:04:11,520
Speaker 1: in there.

92
00:04:11,680 --> 00:04:14,920
Speaker 3: That would be crazy. I don't worry, Charlie.

93
00:04:14,920 --> 00:04:19,400
Speaker 1: I'm definitely not breaking any news or divulging any inside

94
00:04:19,560 --> 00:04:23,840
Speaker 1: information here today on Human Events Daily. But folks, it's

95
00:04:23,839 --> 00:04:26,440
Speaker 1: gonna be right back. We've got a huge show, lots

96
00:04:26,440 --> 00:04:27,240
Speaker 1: of people kept working.

97
00:04:27,240 --> 00:04:30,760
Speaker 5: People follow you, follow me on X and Instagram, and

98
00:04:31,000 --> 00:04:32,559
Speaker 5: like I always say, follow me to church.

99
00:04:32,960 --> 00:04:34,520
Speaker 3: I'm the church's right back.

100
00:05:00,160 --> 00:05:02,920
Speaker 1: Second American Revolution.

101
00:05:03,360 --> 00:05:06,680
Speaker 6: Jeffrey Epstein's contact list is making headlines again. The Attorney

102
00:05:06,680 --> 00:05:09,359
Speaker 6: General of the United States, Pam Bondi's Justice Department, released

103
00:05:09,360 --> 00:05:12,839
Speaker 6: over one hundred pages from his address book between names

104
00:05:12,880 --> 00:05:16,320
Speaker 6: like Mick Jagger and Alec Baldwin. While most names were

105
00:05:16,320 --> 00:05:19,080
Speaker 6: already known, victim's identities were fully redacted.

106
00:05:19,839 --> 00:05:23,600
Speaker 7: Today, conservative commentators respotted at the White House carrying Binder's

107
00:05:23,680 --> 00:05:28,800
Speaker 7: labeled Epstein files. Meanwhile, Attorney General Pambondi accused the FBI

108
00:05:28,880 --> 00:05:32,760
Speaker 7: of withholding thousands of Jeffrey Epstein documents, and a letter

109
00:05:32,800 --> 00:05:36,120
Speaker 7: to FBI Director Cash Pattel, she promised to release the files,

110
00:05:36,240 --> 00:05:39,560
Speaker 7: raising questions about what's being kept hidden.

111
00:05:39,760 --> 00:05:43,840
Speaker 6: This government is now saying financier Jeffrey Epstein never kept

112
00:05:43,880 --> 00:05:44,800
Speaker 6: a client list.

113
00:05:44,920 --> 00:05:48,440
Speaker 8: We had heard about that, and contradict's claims from Attorney

114
00:05:48,440 --> 00:05:51,320
Speaker 8: General Pam Bondi, who months ago said such a document

115
00:05:51,440 --> 00:05:54,640
Speaker 8: was quote sitting on my desk. The two page memo

116
00:05:54,720 --> 00:05:58,479
Speaker 8: from the Justice Department at FBI also confirmed Epstein's death

117
00:05:58,760 --> 00:06:01,919
Speaker 8: was a suicide and no further charges are expected to

118
00:06:01,920 --> 00:06:02,800
Speaker 8: be filed in the case.

119
00:06:02,800 --> 00:06:03,839
Speaker 3: It happened in jail.

120
00:06:04,240 --> 00:06:07,120
Speaker 8: The conclusion is the opposite of what Pam BONDI had promoted.

121
00:06:09,839 --> 00:06:12,800
Speaker 1: All right, folks, Jack Kisovik, we're here, this is an

122
00:06:12,800 --> 00:06:16,440
Speaker 1: episode we're taping, pre taping while we're on the sidelines

123
00:06:16,760 --> 00:06:20,520
Speaker 1: here at the Student Action Summit, turning point Tampa, Florida,

124
00:06:20,600 --> 00:06:24,680
Speaker 1: by the way, on the very shores of the Gulf

125
00:06:25,160 --> 00:06:26,520
Speaker 1: of America.

126
00:06:26,640 --> 00:06:27,480
Speaker 3: Yes, ladies and.

127
00:06:27,440 --> 00:06:29,280
Speaker 1: Gentlemen, the Gulf of America.

128
00:06:29,360 --> 00:06:30,960
Speaker 3: Go and look at your map. You could see it

129
00:06:31,080 --> 00:06:31,599
Speaker 3: right here.

130
00:06:31,839 --> 00:06:35,279
Speaker 1: And we're so excited to have a local politician joining

131
00:06:35,400 --> 00:06:38,600
Speaker 1: US Congresswoman Anna Molina Luna. And to me, by the way,

132
00:06:38,640 --> 00:06:41,000
Speaker 1: for the record, for me, it's no surprise that you

133
00:06:41,200 --> 00:06:44,360
Speaker 1: are where you are, having come up as quote unquote

134
00:06:44,400 --> 00:06:47,359
Speaker 1: an influencer. But I said, people say, you know, you

135
00:06:47,360 --> 00:06:49,600
Speaker 1: think of her as an influencer because you're not listening to.

136
00:06:49,560 --> 00:06:50,239
Speaker 3: What she's saying.

137
00:06:50,600 --> 00:06:53,240
Speaker 1: And I do this crazy thing where I actually listen

138
00:06:53,279 --> 00:06:55,640
Speaker 1: to what people have to say. And I remember always

139
00:06:55,640 --> 00:06:59,760
Speaker 1: saying this, this one has substance, this one has something

140
00:06:59,800 --> 00:07:01,040
Speaker 1: to say that I could.

141
00:07:00,960 --> 00:07:03,760
Speaker 9: Check in regards to stereotype and branding, I would be so.

142
00:07:03,839 --> 00:07:05,919
Speaker 3: You never had and you never did that. No, you

143
00:07:05,960 --> 00:07:07,480
Speaker 3: and I had a conversation about that a couple of

144
00:07:07,560 --> 00:07:07,840
Speaker 3: years ago.

145
00:07:07,880 --> 00:07:08,440
Speaker 4: I remember that.

146
00:07:09,360 --> 00:07:10,840
Speaker 1: And I even said, like, do you want to lean

147
00:07:10,880 --> 00:07:13,080
Speaker 1: in a little bit, because my political analyst at all,

148
00:07:13,200 --> 00:07:13,600
Speaker 1: do you want to.

149
00:07:13,600 --> 00:07:15,680
Speaker 3: Lean in a little bit that you're like, no, no,

150
00:07:15,720 --> 00:07:16,480
Speaker 3: I don't want to do that.

151
00:07:16,920 --> 00:07:18,800
Speaker 9: It's interesting though. They don't really know how to hit me.

152
00:07:19,080 --> 00:07:19,560
Speaker 3: No they don't.

153
00:07:19,800 --> 00:07:21,680
Speaker 9: They were like, we're just not going to talk about her. Yeah,

154
00:07:21,680 --> 00:07:24,040
Speaker 9: And I'm like, you guys, because they realized I go

155
00:07:24,080 --> 00:07:25,760
Speaker 9: on and it makes sense, Avengers.

156
00:07:25,360 --> 00:07:28,200
Speaker 1: Like I don't know, okay, right and then and then,

157
00:07:28,280 --> 00:07:30,840
Speaker 1: I mean the one time that they did take they

158
00:07:30,840 --> 00:07:31,240
Speaker 1: tried to do.

159
00:07:31,480 --> 00:07:32,040
Speaker 3: For your family.

160
00:07:32,360 --> 00:07:36,239
Speaker 10: Oh, they tried talking yeah, yeah, had that not happened,

161
00:07:36,280 --> 00:07:37,400
Speaker 10: you know, God works the special ways.

162
00:07:37,480 --> 00:07:39,360
Speaker 9: So they went they tried to say that I was

163
00:07:39,400 --> 00:07:40,120
Speaker 9: not Hispanic.

164
00:07:40,240 --> 00:07:42,600
Speaker 3: Oh, they try to say it is not Hispanic. I'm like,

165
00:07:43,000 --> 00:07:43,840
Speaker 3: pretty spatitude.

166
00:07:44,080 --> 00:07:46,120
Speaker 10: In the same in the same sentence, they're like, her

167
00:07:46,160 --> 00:07:48,720
Speaker 10: grandmother is from Mexico, right, and then and her dad's

168
00:07:48,720 --> 00:07:51,000
Speaker 10: also Mexican, and her mom's Mexican. That had that not happened,

169
00:07:51,000 --> 00:07:52,720
Speaker 10: Time Magazine would have never investigated.

170
00:07:53,240 --> 00:07:55,800
Speaker 9: And when Time Vaccine investigated, they're like, holy gosh, she's

171
00:07:55,800 --> 00:07:58,720
Speaker 9: telling the truth. I was named the next one hundred

172
00:07:58,720 --> 00:07:59,679
Speaker 9: bus influence in the world.

173
00:08:00,280 --> 00:08:03,760
Speaker 1: No, I completely agree, and it's been a meteoric rise.

174
00:08:03,880 --> 00:08:07,280
Speaker 1: So just congratulations to you because I remember coming, you know,

175
00:08:07,400 --> 00:08:08,880
Speaker 1: and meeting you at these events.

176
00:08:09,200 --> 00:08:11,240
Speaker 3: Gosh, I even want to say how many years ago now,

177
00:08:11,520 --> 00:08:14,400
Speaker 3: but yeah, you know, at least least seven years ago.

178
00:08:14,440 --> 00:08:16,720
Speaker 1: Yea, at least seven years ago. And to see where

179
00:08:16,760 --> 00:08:19,840
Speaker 1: you are it's amazing. But you've launched task forces into

180
00:08:20,040 --> 00:08:23,680
Speaker 1: things like the JFK files, and you've been completely outspoken

181
00:08:23,760 --> 00:08:27,840
Speaker 1: and obviously you know, and you know, for folks who know,

182
00:08:28,000 --> 00:08:30,800
Speaker 1: you know, it's been trending all this week, this Epstein situation.

183
00:08:31,480 --> 00:08:35,040
Speaker 1: And I'll just say something that you know, I've never

184
00:08:35,080 --> 00:08:37,720
Speaker 1: said this publicly because when this thing first happened, you

185
00:08:37,760 --> 00:08:39,920
Speaker 1: were the first person to reach out to me. When

186
00:08:40,120 --> 00:08:43,160
Speaker 1: when this whole invitary, when this whole nonsense happened, You're

187
00:08:43,200 --> 00:08:45,199
Speaker 1: the very first person who reached out to me, as

188
00:08:45,240 --> 00:08:46,600
Speaker 1: if we were the ones.

189
00:08:46,280 --> 00:08:48,520
Speaker 3: Who refused to release the files.

190
00:08:48,520 --> 00:08:50,720
Speaker 1: I don't have the files, I'm not the Attorney General,

191
00:08:50,760 --> 00:08:52,280
Speaker 1: I'm not involved in any of this.

192
00:08:52,320 --> 00:08:53,800
Speaker 3: So I've always really appreciated that.

193
00:08:53,880 --> 00:08:54,280
Speaker 4: So thank you.

194
00:08:54,360 --> 00:08:54,520
Speaker 11: Yeah.

195
00:08:54,600 --> 00:08:56,440
Speaker 9: Yeah, I think it's, you know, one of those situations.

196
00:08:56,480 --> 00:08:59,319
Speaker 10: I think the reason why there's so much anger surrounding

197
00:08:59,440 --> 00:09:01,199
Speaker 10: us is because of the way that it was handled.

198
00:09:01,240 --> 00:09:05,120
Speaker 3: Of course, I'm right there with it's the way.

199
00:09:04,960 --> 00:09:05,760
Speaker 9: That it was handled.

200
00:09:05,840 --> 00:09:07,840
Speaker 10: And I think that you know, in regards to our

201
00:09:07,840 --> 00:09:09,520
Speaker 10: task forse the whole reason why the task force was

202
00:09:09,559 --> 00:09:12,960
Speaker 10: formed because President Trump had the CEO on declassifying JFK

203
00:09:13,240 --> 00:09:16,160
Speaker 10: releasing I've never seen, never seen documents on Joe Nady,

204
00:09:16,240 --> 00:09:20,680
Speaker 10: Jesus really shady CIA operative that had lied to Congress,

205
00:09:20,760 --> 00:09:23,920
Speaker 10: was given an award for lying to Congress, was observing,

206
00:09:24,120 --> 00:09:29,040
Speaker 10: had interaction with Oswald, and you know, for decades this

207
00:09:29,200 --> 00:09:30,160
Speaker 10: was kept under It.

208
00:09:30,200 --> 00:09:32,160
Speaker 1: Was the cast Row group that he was part of

209
00:09:32,360 --> 00:09:34,440
Speaker 1: was actually a CIA front for it was a CIA.

210
00:09:35,040 --> 00:09:38,360
Speaker 3: This is what people had said for years and recalled conspiracy.

211
00:09:37,880 --> 00:09:40,320
Speaker 10: Theories, and now they're being crew for us. It's evidence

212
00:09:40,360 --> 00:09:44,120
Speaker 10: of multiple shooters. The CIA denied the loan gunment theory

213
00:09:44,160 --> 00:09:46,080
Speaker 10: that just on the pure fact that the CIA had

214
00:09:46,160 --> 00:09:50,400
Speaker 10: interaction was observing Oswald discrusi wle notion of a loan gunman,

215
00:09:50,760 --> 00:09:52,600
Speaker 10: that the Warrant Commission engaged in.

216
00:09:54,240 --> 00:09:56,719
Speaker 9: In uh intimidation of.

217
00:09:56,679 --> 00:09:59,400
Speaker 10: Witnesses, and they omitted evidence that the single bullet theory

218
00:09:59,400 --> 00:10:02,120
Speaker 10: didn't take place. And I believe that a roque faction

219
00:10:02,200 --> 00:10:05,120
Speaker 10: of the CIA thought that JFK was a radical and.

220
00:10:05,000 --> 00:10:05,760
Speaker 9: They use that.

221
00:10:06,040 --> 00:10:07,840
Speaker 10: I think that when people look at the evidence they

222
00:10:07,840 --> 00:10:10,400
Speaker 10: can put piece together, the mosaicle will actually have Yeah.

223
00:10:10,400 --> 00:10:13,240
Speaker 1: And then and then who's the attorney on the case,

224
00:10:13,280 --> 00:10:15,840
Speaker 1: the investigator who comes up with the silver bullet, the

225
00:10:15,840 --> 00:10:18,959
Speaker 1: magic bullet theory, a silver bullet oral inspector, so silver

226
00:10:19,000 --> 00:10:22,080
Speaker 1: bullet spector. Then it turns around become the vice president

227
00:10:22,120 --> 00:10:25,240
Speaker 1: then president after his role in the Watergate investigation, you

228
00:10:25,320 --> 00:10:28,560
Speaker 1: see Spector getting rewarded. So we see this pattern over

229
00:10:28,640 --> 00:10:31,679
Speaker 1: and over of people being rewarded for covering up some

230
00:10:31,720 --> 00:10:34,720
Speaker 1: of what they call the crown jewels in the intel community.

231
00:10:34,840 --> 00:10:37,319
Speaker 3: So when when you have situations like.

232
00:10:37,280 --> 00:10:40,560
Speaker 1: This that go on again and again and again, I

233
00:10:40,600 --> 00:10:43,280
Speaker 1: think it's not crazy to see a guy like Jeffrey

234
00:10:43,280 --> 00:10:46,679
Speaker 1: Epstein and all of the information that's out there already.

235
00:10:46,920 --> 00:10:49,600
Speaker 10: Well, I think that's why you want a transparent process

236
00:10:49,600 --> 00:10:52,520
Speaker 10: of this, right, Like, no one's asking to see victim names,

237
00:10:52,520 --> 00:10:54,280
Speaker 10: so I'm asking to see see Sam.

238
00:10:54,720 --> 00:10:56,079
Speaker 9: But to not release anything.

239
00:10:56,120 --> 00:10:57,800
Speaker 10: And then you have like the daily mail out there

240
00:10:57,800 --> 00:11:00,440
Speaker 10: with photos of you know, bags of past sports and

241
00:11:00,520 --> 00:11:02,760
Speaker 10: diamonds and safes. I just think that the way that

242
00:11:02,800 --> 00:11:06,800
Speaker 10: it's been handled has created a bigger issue on the

243
00:11:06,880 --> 00:11:09,840
Speaker 10: distrust front, and that you have to have transparency to

244
00:11:09,880 --> 00:11:12,520
Speaker 10: have that trust with your government, especially when so many

245
00:11:12,520 --> 00:11:14,520
Speaker 10: of these people went on records saying that they wanted

246
00:11:14,559 --> 00:11:16,440
Speaker 10: to So they can't release information even if they have

247
00:11:16,480 --> 00:11:18,760
Speaker 10: wanted to, because the DJ has said that they're not

248
00:11:18,840 --> 00:11:21,160
Speaker 10: allowed to. And so that's why I put out the

249
00:11:21,160 --> 00:11:23,040
Speaker 10: statement that I did that the DJ does need to

250
00:11:23,040 --> 00:11:25,439
Speaker 10: really set information that we are going to be asking

251
00:11:25,760 --> 00:11:26,920
Speaker 10: all of the task force on the half of the

252
00:11:26,960 --> 00:11:29,960
Speaker 10: American people. And unfortunately, though you know, I'm not at

253
00:11:29,960 --> 00:11:33,559
Speaker 10: the DJ, and unfortunately I'm not the FBI. I've exhausted

254
00:11:33,600 --> 00:11:36,120
Speaker 10: all my resources capable and I was kind of fighting

255
00:11:36,120 --> 00:11:38,480
Speaker 10: for this. I felt like alone on a hill for

256
00:11:38,520 --> 00:11:41,480
Speaker 10: a while. But I do think that if this is.

257
00:11:41,440 --> 00:11:45,640
Speaker 1: Ever going to restore trust, Recently, these huge ice raids out.

258
00:11:45,520 --> 00:11:47,520
Speaker 3: In California, they are ongoing.

259
00:11:47,720 --> 00:11:51,280
Speaker 1: They've actually been stepping up enforcement operations in parts of

260
00:11:51,280 --> 00:11:54,440
Speaker 1: the country, and we keep hearing you know, of course,

261
00:11:54,520 --> 00:11:56,040
Speaker 1: Avenuwsom runs.

262
00:11:55,760 --> 00:11:58,320
Speaker 3: Out and says, this is racist, this.

263
00:11:58,480 --> 00:12:01,600
Speaker 1: Is your harassing children, You're harassing women.

264
00:12:01,679 --> 00:12:03,440
Speaker 3: These are just people who want to work here.

265
00:12:03,760 --> 00:12:05,600
Speaker 1: And then of course people turn around and say, wait

266
00:12:05,600 --> 00:12:08,319
Speaker 1: a minute, what do you women farm?

267
00:12:08,440 --> 00:12:11,560
Speaker 10: In fact, Purdue and Tysion Chicken Farm actually robusted for

268
00:12:11,559 --> 00:12:14,000
Speaker 10: this several years back. And what I will also tell

269
00:12:14,040 --> 00:12:17,319
Speaker 10: you Jack, is that they're not wanting to address that issue.

270
00:12:17,760 --> 00:12:18,760
Speaker 9: I think it's pretty.

271
00:12:18,480 --> 00:12:21,280
Speaker 10: Egregious that Congress has the ability to increase some of

272
00:12:21,320 --> 00:12:24,920
Speaker 10: these punishments for just corporations that are hiring these micro children, and.

273
00:12:24,880 --> 00:12:27,640
Speaker 1: They talking about actually going over the after the people.

274
00:12:27,840 --> 00:12:31,120
Speaker 1: This is the pull factor for illegal aliens because they

275
00:12:31,160 --> 00:12:33,479
Speaker 1: wouldn't becoming if they couldn't have jobs.

276
00:12:33,000 --> 00:12:37,240
Speaker 10: As loving and big ad that goes into facts this

277
00:12:37,320 --> 00:12:39,360
Speaker 10: administration and doing what they're doing. They're not talking about

278
00:12:39,360 --> 00:12:41,880
Speaker 10: the fact that they just directed the MS thirteen Kingpin

279
00:12:42,280 --> 00:12:45,000
Speaker 10: or that they're deporting pedophiles and rapists. They're trying to

280
00:12:45,040 --> 00:12:46,800
Speaker 10: paint it to be that image, just like they were

281
00:12:46,920 --> 00:12:50,040
Speaker 10: previous to the trumple lunch in twenty sixteen. They're trying

282
00:12:50,040 --> 00:12:52,360
Speaker 10: to film, you know, people getting tear gas at the border,

283
00:12:52,520 --> 00:12:55,080
Speaker 10: people bringing their children and getting tear gas. They're not

284
00:12:55,160 --> 00:12:57,240
Speaker 10: talking about the actual facts and that it actually hurts

285
00:12:57,240 --> 00:12:59,439
Speaker 10: people on both sides. You're literally incentivizing people to come

286
00:12:59,440 --> 00:13:01,400
Speaker 10: here legally and they're getting paid under the table. Then

287
00:13:01,440 --> 00:13:02,720
Speaker 10: their targets were organized crime.

288
00:13:02,960 --> 00:13:04,920
Speaker 1: The movie, you know, Sound of Freedom was out there.

289
00:13:05,120 --> 00:13:07,440
Speaker 1: I saw that movie with President Trump up at Bedminster

290
00:13:07,920 --> 00:13:09,760
Speaker 1: that night and got it's true.

291
00:13:09,840 --> 00:13:10,720
Speaker 3: It's horrific.

292
00:13:10,800 --> 00:13:13,959
Speaker 1: But these these networks are in place, and these unfortunately

293
00:13:14,000 --> 00:13:14,840
Speaker 1: businesses are real.

294
00:13:15,000 --> 00:13:18,880
Speaker 10: They just busted a massive trafficking ring in Canallas County.

295
00:13:18,640 --> 00:13:20,880
Speaker 9: And in Hillsboro County here and Tampa.

296
00:13:21,280 --> 00:13:24,200
Speaker 10: I think they rescued over sixty kids, but some as

297
00:13:24,240 --> 00:13:26,040
Speaker 10: young as thirteen years old, or I think it was

298
00:13:26,120 --> 00:13:29,400
Speaker 10: nine years old. Actually, So you know, people calling Obama

299
00:13:29,559 --> 00:13:33,520
Speaker 10: racist or x inophobic. Biden, you know, was under Obama's

300
00:13:33,559 --> 00:13:35,040
Speaker 10: vice president. They didn't attack him.

301
00:13:35,080 --> 00:13:38,400
Speaker 9: So it is because they want to create this voting

302
00:13:38,440 --> 00:13:39,360
Speaker 9: fort to the mid terms.

303
00:13:39,840 --> 00:13:42,920
Speaker 10: And there is a concern that I have that if

304
00:13:42,920 --> 00:13:45,800
Speaker 10: people don't educate the masses all what's truly happening with

305
00:13:45,880 --> 00:13:48,480
Speaker 10: the propaganda factor in this, that there will people that

306
00:13:48,600 --> 00:13:52,040
Speaker 10: drink the kool aid and think that unfortunately it's targeted

307
00:13:52,160 --> 00:13:53,320
Speaker 10: because of race.

308
00:13:53,440 --> 00:13:54,360
Speaker 9: That'sipling of the case.

309
00:13:54,840 --> 00:13:56,720
Speaker 1: And I remember two years ago, we did all this

310
00:13:56,800 --> 00:13:59,040
Speaker 1: work when we were promoting Sound to Freedom, we went

311
00:13:59,080 --> 00:14:00,960
Speaker 1: through and talked about the networ. We talked about the

312
00:14:00,960 --> 00:14:03,400
Speaker 1: fact that the Biden administration was losing the quote unquote

313
00:14:03,440 --> 00:14:06,720
Speaker 1: losing all of these children in the process. President Trump

314
00:14:06,800 --> 00:14:07,840
Speaker 1: is actually going in with ice.

315
00:14:08,000 --> 00:14:10,960
Speaker 10: They're finding President Trump also to remember what he did

316
00:14:10,960 --> 00:14:13,160
Speaker 10: the last Adam and he was the biggest person to

317
00:14:13,200 --> 00:14:16,040
Speaker 10: fight counter traffic or to fight for counter traffic efforts

318
00:14:16,080 --> 00:14:18,960
Speaker 10: in the country and Franqulin in any other administration. So

319
00:14:19,000 --> 00:14:20,840
Speaker 10: I think that they don't like to talk about that

320
00:14:20,920 --> 00:14:22,800
Speaker 10: because they know that a lot of these you know

321
00:14:22,800 --> 00:14:25,200
Speaker 10: there's this like Fight und Rule Darky tour going.

322
00:14:25,000 --> 00:14:25,680
Speaker 9: Around the country.

323
00:14:25,960 --> 00:14:28,680
Speaker 10: Well, a lot of these movements for these counter protesting,

324
00:14:28,800 --> 00:14:33,040
Speaker 10: for provis illegal immigration efforts, they're actually being funded by

325
00:14:33,080 --> 00:14:34,280
Speaker 10: billionaires tip to the CCP.

326
00:14:34,680 --> 00:14:36,200
Speaker 9: So they don't want to talk about the money trail

327
00:14:36,200 --> 00:14:36,640
Speaker 9: there either.

328
00:14:37,160 --> 00:14:39,080
Speaker 10: And so it's going to be interesting for August open

329
00:14:39,160 --> 00:14:40,200
Speaker 10: up our investigation into that.

330
00:14:40,600 --> 00:14:43,040
Speaker 1: Commerson went Amblin and Luna, thank you for your fight,

331
00:14:43,200 --> 00:14:45,560
Speaker 1: thank you for your voice and your friendship. Where can

332
00:14:45,560 --> 00:14:47,640
Speaker 1: people go to follow you see everything you're on the

333
00:14:47,680 --> 00:14:48,640
Speaker 1: official counts at Rep.

334
00:14:48,720 --> 00:14:50,600
Speaker 9: Luna and then personal reel on a point.

335
00:15:00,200 --> 00:15:03,440
Speaker 3: You know that you're talking about influencers. These are influencers

336
00:15:04,040 --> 00:15:05,560
Speaker 3: and they're friends of mine.

337
00:15:06,440 --> 00:15:17,240
Speaker 12: Jack, Jack, Yes, we need then we have already. The

338
00:15:17,280 --> 00:15:20,200
Speaker 12: biggest help is the support of American people at sports

339
00:15:20,240 --> 00:15:24,040
Speaker 12: of all friends. Thanks to Lindsey and his Cup colleagues,

340
00:15:24,680 --> 00:15:28,840
Speaker 12: to congressmen and centers from them United States, thanks for

341
00:15:28,920 --> 00:15:29,600
Speaker 12: the support.

342
00:15:29,760 --> 00:15:30,840
Speaker 11: My father is in support.

343
00:15:31,320 --> 00:15:32,080
Speaker 12: Thank you so much.

344
00:15:32,680 --> 00:15:34,960
Speaker 3: Peace is coming, yes soon.

345
00:15:37,120 --> 00:15:39,840
Speaker 1: All right, guys, we're back here on the sidelines again,

346
00:15:39,920 --> 00:15:43,200
Speaker 1: turning point Student Action Summit in the great Tampa Bay

347
00:15:43,240 --> 00:15:44,880
Speaker 1: that's right right on the bay.

348
00:15:44,840 --> 00:15:48,320
Speaker 3: Of the Gulf of America.

349
00:15:47,440 --> 00:15:49,320
Speaker 1: And we're so excited to be sitting down here with

350
00:15:49,720 --> 00:15:51,760
Speaker 1: us Senate candidate Andre Bauer.

351
00:15:51,880 --> 00:15:53,640
Speaker 3: Thanks you, thank you for joining us here on human events.

352
00:15:53,680 --> 00:15:54,560
Speaker 3: Thank you for having me.

353
00:15:54,720 --> 00:15:58,160
Speaker 1: So tell me, why did you want to run? Why

354
00:15:58,160 --> 00:15:59,720
Speaker 1: would you want to take a life like yours? And

355
00:16:00,000 --> 00:16:01,840
Speaker 1: I had to get involved in politics and run for

356
00:16:01,840 --> 00:16:02,440
Speaker 1: a seat like this?

357
00:16:02,800 --> 00:16:04,760
Speaker 13: A great question. A lot of my friends said the

358
00:16:04,800 --> 00:16:07,360
Speaker 13: same thing. You know, in nineteen I thought about it.

359
00:16:07,440 --> 00:16:09,760
Speaker 13: I got real frustrated with the Senator. I had a

360
00:16:09,800 --> 00:16:12,160
Speaker 13: one year old and just time and just wasn't right.

361
00:16:12,240 --> 00:16:14,360
Speaker 13: That one year old's now getting ready to be six

362
00:16:14,440 --> 00:16:18,200
Speaker 13: in September, and I'm worried about their future. I've got

363
00:16:18,360 --> 00:16:20,680
Speaker 13: four kids, and I'm worried about their future. They're going

364
00:16:20,760 --> 00:16:22,800
Speaker 13: to see with their eyes of future I'll never get

365
00:16:22,840 --> 00:16:24,520
Speaker 13: to see, but I darn sure care about what it

366
00:16:24,520 --> 00:16:24,960
Speaker 13: looks like.

367
00:16:25,520 --> 00:16:27,440
Speaker 3: And we got a cenator that we don't see in

368
00:16:27,480 --> 00:16:28,400
Speaker 3: South Carolina anymore.

369
00:16:28,400 --> 00:16:30,760
Speaker 13: I think he's more recognizable in Ukraine than he is

370
00:16:31,000 --> 00:16:35,920
Speaker 13: in Union South Carolina. Wow, thirty years, he's lost his way.

371
00:16:36,440 --> 00:16:38,920
Speaker 13: We're concerned about border, We're concerned about taking care of

372
00:16:38,920 --> 00:16:42,080
Speaker 13: Americans and South Carolinians. We're not as concerned about taking

373
00:16:42,080 --> 00:16:44,360
Speaker 13: here of the rest of the world's problems, especially when

374
00:16:44,360 --> 00:16:46,920
Speaker 13: we had the debt. When Lindsey took over, the debt

375
00:16:47,000 --> 00:16:49,840
Speaker 13: was less than five trillion dollars and he ran on Terblin.

376
00:16:49,880 --> 00:16:52,720
Speaker 13: But if you can imagine that nineteen ninety four contract

377
00:16:52,760 --> 00:16:54,880
Speaker 13: with America Emers, you.

378
00:16:54,800 --> 00:16:55,800
Speaker 3: Got a late in ninety four.

379
00:16:55,840 --> 00:16:58,720
Speaker 13: So he committed to twelve years where nineteen years passed

380
00:16:59,240 --> 00:17:02,000
Speaker 13: his expect sea and what are.

381
00:17:01,960 --> 00:17:02,480
Speaker 3: We gotten for?

382
00:17:02,800 --> 00:17:06,120
Speaker 13: We've now sevenfold a debt trillion a year since he's

383
00:17:06,119 --> 00:17:07,240
Speaker 13: been in there has gone up.

384
00:17:07,720 --> 00:17:09,320
Speaker 3: So how do you call yourself.

385
00:17:08,960 --> 00:17:12,040
Speaker 13: A conservative and a Republican, if you keep raising the debt limit,

386
00:17:12,080 --> 00:17:14,439
Speaker 13: if you keep spending, if you keep getting being a

387
00:17:14,440 --> 00:17:17,119
Speaker 13: globalist instead of looking out for your state, instead of

388
00:17:17,119 --> 00:17:19,280
Speaker 13: looking out for your country. Look, I'd give you an

389
00:17:19,320 --> 00:17:22,520
Speaker 13: easy example. There are eight hundred plus US bases around

390
00:17:22,520 --> 00:17:25,800
Speaker 13: the world. Yes, South Carolina lost two of their couple ones.

391
00:17:26,200 --> 00:17:29,040
Speaker 13: We lost to Charleston Navy Yard my grandfather worked at,

392
00:17:29,280 --> 00:17:31,520
Speaker 13: and we lost a MYRTL Beach Air Force Base. Now

393
00:17:31,560 --> 00:17:35,040
Speaker 13: why would we ever get rid of too for premier

394
00:17:35,280 --> 00:17:38,440
Speaker 13: right on our coast, guarding our coast, employing people, and

395
00:17:39,760 --> 00:17:42,560
Speaker 13: the spinoff from employing those people help those communities too.

396
00:17:42,600 --> 00:17:45,680
Speaker 13: Instead eight hundred plus around the world, we got over

397
00:17:45,760 --> 00:17:46,600
Speaker 13: forty six thousand.

398
00:17:47,520 --> 00:17:50,359
Speaker 1: So you're telling me that Senator Graham didn't fight for

399
00:17:50,400 --> 00:17:53,000
Speaker 1: the people of South Carolina in his divis.

400
00:17:53,280 --> 00:17:56,359
Speaker 13: He was a newly member of Congress from one of

401
00:17:56,400 --> 00:17:58,320
Speaker 13: those guys shut down. So I can't blame that army,

402
00:17:58,520 --> 00:18:00,600
Speaker 13: all right, I want to be fair, But my point

403
00:18:00,720 --> 00:18:01,439
Speaker 13: is is that.

404
00:18:01,840 --> 00:18:03,000
Speaker 3: Why what's real Southerner?

405
00:18:03,040 --> 00:18:05,040
Speaker 13: By the way it is, But my point is is,

406
00:18:05,400 --> 00:18:07,439
Speaker 13: why would we ever look at shutting down stuff in

407
00:18:07,480 --> 00:18:10,240
Speaker 13: our backyard, protecting our boys before.

408
00:18:09,960 --> 00:18:10,359
Speaker 3: We'd ever go.

409
00:18:10,400 --> 00:18:13,879
Speaker 13: We got over forty six thousand individuals in Germany right now,

410
00:18:13,880 --> 00:18:15,600
Speaker 13: there are friends. Why do we have that big a truth?

411
00:18:16,280 --> 00:18:19,440
Speaker 13: We got over thirty six thousand in South Korea. We've

412
00:18:19,480 --> 00:18:22,000
Speaker 13: got to reassess what our real mission is, what our

413
00:18:22,040 --> 00:18:24,560
Speaker 13: real duty and scope is, and where our real allies

414
00:18:24,600 --> 00:18:26,440
Speaker 13: are and can they not start doing their own military

415
00:18:26,480 --> 00:18:27,200
Speaker 13: and their own policeman.

416
00:18:27,280 --> 00:18:29,840
Speaker 3: I'm tired of being in the world's peacekeeper.

417
00:18:30,359 --> 00:18:32,760
Speaker 13: At some point in time, we've got to address a debt,

418
00:18:32,840 --> 00:18:35,040
Speaker 13: and we've got to address he can care real needs

419
00:18:34,760 --> 00:18:35,520
Speaker 13: are That.

420
00:18:35,560 --> 00:18:38,000
Speaker 1: Must be because the people of South Carolina just have

421
00:18:38,080 --> 00:18:41,080
Speaker 1: too much money and too much employment and too much healthcare.

422
00:18:41,240 --> 00:18:43,200
Speaker 1: And that's why he's so focused around the world. Right

423
00:18:43,280 --> 00:18:45,320
Speaker 1: there's no problems at all back home in South Carolina.

424
00:18:45,359 --> 00:18:48,280
Speaker 13: I think it's much easier to raise money from the

425
00:18:48,320 --> 00:18:53,240
Speaker 13: people that want us in all these conflicts. And if

426
00:18:53,280 --> 00:18:56,119
Speaker 13: you look, he's never had an opponent, I shouldn't say

427
00:18:56,119 --> 00:18:57,560
Speaker 13: a real opponent. He's never had an opponent with a

428
00:18:57,560 --> 00:18:59,959
Speaker 13: big name or war chest. The most he's ever had

429
00:19:00,000 --> 00:19:01,879
Speaker 13: spent in the primary was he had an individual one

430
00:19:01,880 --> 00:19:04,480
Speaker 13: time send seven hundred and fifty thousand against his like

431
00:19:04,520 --> 00:19:07,840
Speaker 13: fifteen million. The last race he raised over one hundred million.

432
00:19:08,080 --> 00:19:10,600
Speaker 13: You're not getting that from Johnny lunchbucket sending you twenty

433
00:19:10,640 --> 00:19:12,919
Speaker 13: five dollars where after he worked all week. That's not

434
00:19:13,040 --> 00:19:15,399
Speaker 13: sweat off the brown money. That's Hey, we're going to

435
00:19:15,440 --> 00:19:16,960
Speaker 13: give you a big old check and you're gonna do

436
00:19:17,000 --> 00:19:19,280
Speaker 13: what we need you to in Washington. It's taking care

437
00:19:19,320 --> 00:19:22,840
Speaker 13: of Washington politics and foreign conflicts instead of taking care

438
00:19:22,880 --> 00:19:24,560
Speaker 13: of the people of South Carolina and taking care of

439
00:19:25,000 --> 00:19:26,200
Speaker 13: President Trump's agenda.

440
00:19:26,440 --> 00:19:28,040
Speaker 3: I mean, this is a guy that fought Trump to

441
00:19:28,080 --> 00:19:28,320
Speaker 3: the now.

442
00:19:28,320 --> 00:19:30,879
Speaker 13: Matter of fact, when I address when I endorsed President

443
00:19:30,920 --> 00:19:33,640
Speaker 13: Trump in February of nineteen, the third or Light Official America,

444
00:19:33,920 --> 00:19:36,560
Speaker 13: Lindsay Graham was running against him. Remember he called him

445
00:19:36,560 --> 00:19:40,320
Speaker 13: a jackass, a xenophobe, a homophobe was Remember on January sixth,

446
00:19:40,359 --> 00:19:42,240
Speaker 13: he took the floor and said I'm done with Trump.

447
00:19:43,160 --> 00:19:44,800
Speaker 13: I don't know if everybody remembers that. And he wanted

448
00:19:44,800 --> 00:19:46,800
Speaker 13: to vote the twenty fifth Amendment against Trump. We wouldn't

449
00:19:46,880 --> 00:19:49,320
Speaker 13: have Trump as a president now, lendsay don that. I

450
00:19:49,359 --> 00:19:50,080
Speaker 13: think we can do.

451
00:19:50,119 --> 00:19:51,960
Speaker 3: Some work to make that and make that go a

452
00:19:52,000 --> 00:19:52,919
Speaker 3: little viral again.

453
00:19:53,160 --> 00:19:56,200
Speaker 13: Yeah, but do your homework, folks that are listening, because

454
00:19:56,240 --> 00:20:00,200
Speaker 13: it's there, It's the truth. On numerous occasions he down

455
00:20:00,359 --> 00:20:03,040
Speaker 13: talked our president. But he said Joe Biden one of

456
00:20:03,080 --> 00:20:06,240
Speaker 13: the finest men God ever created. He said Nancy Pelosi

457
00:20:06,320 --> 00:20:08,879
Speaker 13: was a fine person. He voted with Joe Biden in

458
00:20:08,920 --> 00:20:12,640
Speaker 13: twenty twenty two seventy percent of the time. Right, they're

459
00:20:12,640 --> 00:20:15,920
Speaker 13: worth Murkowski, these are concerned. Is there not Republican?

460
00:20:16,119 --> 00:20:16,479
Speaker 3: Darn sure.

461
00:20:16,600 --> 00:20:19,879
Speaker 13: Not a South Carolina Republican. Maybe a Vermont Republican. No

462
00:20:19,920 --> 00:20:23,359
Speaker 13: offense Vermont. But it ain't South Carolina Replican, you know.

463
00:20:23,400 --> 00:20:25,720
Speaker 1: And I'll say this too, because look, I'm from Pennsylvania, right,

464
00:20:25,760 --> 00:20:26,959
Speaker 1: I'm a northern.

465
00:20:27,040 --> 00:20:27,760
Speaker 3: I'm not Southern.

466
00:20:27,920 --> 00:20:29,479
Speaker 1: I want to go to South Carolina, and it's such

467
00:20:29,480 --> 00:20:32,240
Speaker 1: an amazing state. I love Charles, I love everything bout

468
00:20:32,320 --> 00:20:34,080
Speaker 1: South Carolina. I love the food in the low Country,

469
00:20:34,080 --> 00:20:35,159
Speaker 1: by the way, amazing.

470
00:20:35,400 --> 00:20:36,680
Speaker 3: But Charlestonian by birth.

471
00:20:36,840 --> 00:20:37,760
Speaker 4: But there you go.

472
00:20:38,119 --> 00:20:40,640
Speaker 1: And but but then I see Lindsay Graham and I say,

473
00:20:41,440 --> 00:20:43,120
Speaker 1: how is this guy from South Carolina.

474
00:20:43,119 --> 00:20:44,880
Speaker 3: It's just it doesn't must have not been in South

475
00:20:44,920 --> 00:20:46,480
Speaker 3: Carolina when you saw him.

476
00:20:46,880 --> 00:20:50,000
Speaker 1: Oh no, I see him in DC as ye mane

477
00:20:50,119 --> 00:20:50,440
Speaker 1: him eye.

478
00:20:50,440 --> 00:20:51,520
Speaker 3: I don't see it in South Carolina.

479
00:20:51,800 --> 00:20:53,040
Speaker 13: You got to put him on a milk joke if

480
00:20:53,040 --> 00:20:54,359
Speaker 13: you want to see him in South Carolina.

481
00:20:54,520 --> 00:20:55,320
Speaker 3: He don't come back.

482
00:20:55,640 --> 00:20:57,480
Speaker 13: I mean he came back to his home birthplace of

483
00:20:57,520 --> 00:20:59,960
Speaker 13: Pickens County to stump for Trump. They vooted him off

484
00:21:00,320 --> 00:21:02,359
Speaker 13: and he didn't asked to be on stage anymore. I

485
00:21:02,440 --> 00:21:04,040
Speaker 13: was there, I spoke too. I didn't get the same

486
00:21:04,080 --> 00:21:06,560
Speaker 13: reception he got. And that's where he was born, Pickens

487
00:21:06,600 --> 00:21:09,439
Speaker 13: County again. Fact check Andre, You're welcome to do that.

488
00:21:10,359 --> 00:21:13,000
Speaker 3: So is the idea that he's been there for so long.

489
00:21:13,400 --> 00:21:15,879
Speaker 1: He's wrapped up in all these other interests, and he

490
00:21:15,960 --> 00:21:18,639
Speaker 1: treats South Carolina as a sort of a you know,

491
00:21:18,840 --> 00:21:21,399
Speaker 1: as a as a stepping stone to for him be

492
00:21:21,440 --> 00:21:23,040
Speaker 1: able to get this higher power in DC.

493
00:21:23,320 --> 00:21:26,040
Speaker 13: I was told by one of his best buddies, a

494
00:21:26,080 --> 00:21:29,360
Speaker 13: sitting United States Congressman, that said, well, you know, Lindsay's

495
00:21:29,400 --> 00:21:32,080
Speaker 13: run around broker in world piece, he's actually the pseudo

496
00:21:32,119 --> 00:21:34,280
Speaker 13: Secretary of State. And I said, well, somebody needs to

497
00:21:34,280 --> 00:21:37,200
Speaker 13: tell him that's not his job. He's a sitting United

498
00:21:37,240 --> 00:21:39,040
Speaker 13: States Center. If he doesn't want that job, he's stepped

499
00:21:39,040 --> 00:21:41,440
Speaker 13: down and go apply to be Secretary of State, because

500
00:21:41,480 --> 00:21:43,840
Speaker 13: that's not his job. I don't remember when Trump said

501
00:21:43,880 --> 00:21:46,240
Speaker 13: we were trying to work out a Russian Ukraine issue.

502
00:21:46,280 --> 00:21:47,320
Speaker 3: They were trying to solve that.

503
00:21:47,600 --> 00:21:49,840
Speaker 13: The next thing, you know, he and Blumenthal on mine

504
00:21:49,880 --> 00:21:53,120
Speaker 13: your dime, ninth trip to Ukraine goes over there.

505
00:21:53,880 --> 00:21:55,600
Speaker 3: We're gonna give you more money, and the next thing,

506
00:21:55,640 --> 00:21:56,400
Speaker 3: they're bombing again.

507
00:21:56,720 --> 00:22:01,639
Speaker 13: Look, I'm tired of Afghanistan, Libya, Siria, Ukraine, you name it.

508
00:22:01,680 --> 00:22:03,879
Speaker 13: He hadn't found a conflict, He didn't want boots on

509
00:22:03,880 --> 00:22:05,640
Speaker 13: the ground, he didn't want more money spent there.

510
00:22:05,760 --> 00:22:07,760
Speaker 3: Don't he said he wanted to do full on more

511
00:22:07,840 --> 00:22:10,840
Speaker 3: with Iran and all the rest of these. The jets

512
00:22:10,840 --> 00:22:13,000
Speaker 3: weren't even cool when they came.

513
00:22:12,840 --> 00:22:16,680
Speaker 13: Back after President Trump's flawless surgical strike, and Lindsay got

514
00:22:16,720 --> 00:22:20,200
Speaker 13: charts on the Florida Senate saying, we need to our

515
00:22:20,240 --> 00:22:21,919
Speaker 13: boys would be willing to risk their.

516
00:22:21,800 --> 00:22:24,840
Speaker 3: Lives for regime change in Iran. I hope he's willing

517
00:22:24,880 --> 00:22:25,040
Speaker 3: to go.

518
00:22:25,000 --> 00:22:26,479
Speaker 13: Over there and do it, because I don't want any

519
00:22:26,520 --> 00:22:28,480
Speaker 13: more our boys over there. Look, if we need to

520
00:22:28,520 --> 00:22:31,280
Speaker 13: protect our friends with drones, we need to get behind

521
00:22:31,520 --> 00:22:33,959
Speaker 13: people that we're allies with I don't We're not going

522
00:22:34,040 --> 00:22:37,040
Speaker 13: to negate that responsibility. But all these boots on the

523
00:22:37,080 --> 00:22:39,840
Speaker 13: ground and all this regime change, I'm adamantly opposed to it.

524
00:22:39,920 --> 00:22:41,960
Speaker 3: Andre, were just about out of time. This is an

525
00:22:41,960 --> 00:22:44,000
Speaker 3: incredible interview. I've got to have you.

526
00:22:43,960 --> 00:22:47,320
Speaker 1: On more because I got to say, I've met Senator

527
00:22:47,320 --> 00:22:48,320
Speaker 1: Graham and I've met you.

528
00:22:48,320 --> 00:22:48,359
Speaker 14: Know.

529
00:22:48,400 --> 00:22:50,600
Speaker 3: I said, you seem like the one who's from South

530
00:22:50,600 --> 00:22:52,040
Speaker 3: Carolina a lot more than he does.

531
00:22:52,080 --> 00:22:55,320
Speaker 1: Tell people where they can go, to follow you, to

532
00:22:55,359 --> 00:22:56,960
Speaker 1: support you and to do and.

533
00:22:57,040 --> 00:22:59,119
Speaker 13: To back you, and what you're doing there down for

534
00:22:59,160 --> 00:23:01,159
Speaker 13: the people Jack for me on the show. Go to

535
00:23:01,200 --> 00:23:04,080
Speaker 13: Andre Bauer dot com really easy, Andre Bauer dot com.

536
00:23:04,119 --> 00:23:06,280
Speaker 13: We'd love to have you get involved. This is an

537
00:23:06,280 --> 00:23:08,360
Speaker 13: opportunity for a movement. Look, we're getting rent of corn,

538
00:23:08,400 --> 00:23:10,200
Speaker 13: and we're getting rid of tell Us, we're getting.

539
00:23:10,000 --> 00:23:12,119
Speaker 3: Rid of McConnell. Let's kill the biggest snake of them

540
00:23:12,119 --> 00:23:13,080
Speaker 3: all and send him pack in.

541
00:23:13,119 --> 00:23:16,400
Speaker 1: And that's Lindsey Graham Andre Bauer dot com driving out

542
00:23:16,440 --> 00:23:16,960
Speaker 1: the snakes.

543
00:23:16,960 --> 00:23:17,639
Speaker 3: You gotta love it.

544
00:23:18,320 --> 00:23:38,240
Speaker 11: Thanks Erlone, Terrence Bates here with your Real America's Voice

545
00:23:38,280 --> 00:23:40,640
Speaker 11: news Break. Thanks so much for being along for the ride.

546
00:23:41,040 --> 00:23:44,560
Speaker 11: President Trump really appreciating the value of life. This morning,

547
00:23:45,040 --> 00:23:47,600
Speaker 11: he had this to say during a meeting. It was

548
00:23:47,640 --> 00:23:49,760
Speaker 11: a luncheon there at the White House for the White

549
00:23:49,760 --> 00:23:54,280
Speaker 11: House Faith Office. He remarked about one year ago yesterday

550
00:23:54,520 --> 00:23:57,439
Speaker 11: when someone attempted or made an attempt on his life.

551
00:23:59,119 --> 00:24:01,159
Speaker 14: And it's you mark able to think that it was

552
00:24:01,200 --> 00:24:04,920
Speaker 14: only one year ago this week that my time on

553
00:24:05,040 --> 00:24:09,440
Speaker 14: earth nearly ended. And if you look at that, God

554
00:24:09,600 --> 00:24:13,200
Speaker 14: was with me, because it's something in theory should.

555
00:24:13,040 --> 00:24:14,600
Speaker 3: Not I should not be with you.

556
00:24:16,560 --> 00:24:20,159
Speaker 11: And before those remarks, the President meeting with NATO's Secretary

557
00:24:20,240 --> 00:24:23,000
Speaker 11: General there at the White House. The two leaders discussing

558
00:24:23,040 --> 00:24:26,360
Speaker 11: everything from sending weapons to Ukraine to negotiating with Vladimir

559
00:24:26,440 --> 00:24:29,520
Speaker 11: Putin and trying to end the war between rushing Ukraine.

560
00:24:29,680 --> 00:24:31,959
Speaker 11: They also discussed the recent NATO summit.

561
00:24:34,160 --> 00:24:37,600
Speaker 14: We were ripped off on trade and the military for

562
00:24:38,000 --> 00:24:41,919
Speaker 14: you know, we protected other nations. Nobody paid us, nobody

563
00:24:41,960 --> 00:24:45,359
Speaker 14: did anything for us, nobody helped us. And that's much different.

564
00:24:45,440 --> 00:24:48,000
Speaker 14: You know, NATO's a much different situation now. When I

565
00:24:48,040 --> 00:24:50,600
Speaker 14: got in, I believe we were paying for one hundred

566
00:24:50,640 --> 00:24:54,120
Speaker 14: percent of NATO, and now they're paying They went from

567
00:24:54,119 --> 00:24:56,880
Speaker 14: two percent, but they were paying one percent to five

568
00:24:56,920 --> 00:24:59,480
Speaker 14: percent that they're paying. That's a big difference. It's about

569
00:24:59,480 --> 00:25:01,399
Speaker 14: a trillion, one trillion dollar difference.

570
00:25:02,920 --> 00:25:06,800
Speaker 11: President Trump also threatening to punish Russia with tariffs if

571
00:25:06,840 --> 00:25:09,240
Speaker 11: there isn't a deal to end the war between Russia

572
00:25:09,240 --> 00:25:13,800
Speaker 11: and Ukraine within the next fifty days. Lexington, Kentucky, remains

573
00:25:13,840 --> 00:25:16,600
Speaker 11: in shock following a deadly shooting at a small rural

574
00:25:16,680 --> 00:25:20,040
Speaker 11: church there on Sunday. Investigators say the suspect was shot

575
00:25:20,080 --> 00:25:23,160
Speaker 11: and killed by responding officers, but only after he shot

576
00:25:23,160 --> 00:25:26,359
Speaker 11: a state trooper and then barged into Richmond Road Baptist Church,

577
00:25:26,560 --> 00:25:28,560
Speaker 11: where he killed a seventy two year old mother and

578
00:25:28,640 --> 00:25:31,639
Speaker 11: her thirty four year old daughter. Two men were also

579
00:25:31,760 --> 00:25:34,760
Speaker 11: hit during that barrage of fire and are recovering at

580
00:25:34,800 --> 00:25:38,040
Speaker 11: the hospital. That's a quick check of your headlines. I'm

581
00:25:38,119 --> 00:25:52,840
Speaker 11: Terrence Bates, Jack.

582
00:25:52,920 --> 00:25:53,760
Speaker 15: I want to see you.

583
00:25:56,200 --> 00:25:59,120
Speaker 3: Great job, Jack, Thank you. What did job get?

584
00:25:59,160 --> 00:25:59,200
Speaker 5: Do?

585
00:26:00,000 --> 00:26:00,960
Speaker 3: We have an incredible thing?

586
00:26:01,040 --> 00:26:02,520
Speaker 4: Where are we talking about the fake.

587
00:26:02,400 --> 00:26:03,160
Speaker 3: News and the band?

588
00:26:03,440 --> 00:26:05,920
Speaker 16: But we have guys and these are the guys.

589
00:26:05,760 --> 00:26:09,359
Speaker 1: Should be getting bullishes, all right, folks, Jack Pasobic here

590
00:26:09,640 --> 00:26:13,240
Speaker 1: human events host. But of course we're riding double duty

591
00:26:13,240 --> 00:26:15,639
Speaker 1: here at the Student Action. Some of that's Jillian Michael.

592
00:26:15,760 --> 00:26:18,240
Speaker 1: She's so great up there on stage. But I had

593
00:26:18,240 --> 00:26:21,160
Speaker 1: to cut in here for a minute because ladies and gentlemen,

594
00:26:21,280 --> 00:26:24,960
Speaker 1: we're here with the officer Tatum Officer.

595
00:26:24,720 --> 00:26:25,199
Speaker 3: How are you?

596
00:26:25,840 --> 00:26:28,439
Speaker 4: I'm blessed man. I got to ask you.

597
00:26:28,440 --> 00:26:31,000
Speaker 1: You've been coming to these events so often.

598
00:26:31,000 --> 00:26:32,120
Speaker 3: For so many years.

599
00:26:33,119 --> 00:26:35,840
Speaker 1: How do you view the growth of Turning Point going

600
00:26:35,880 --> 00:26:38,960
Speaker 1: from where it was six seven, eight years ago to

601
00:26:38,960 --> 00:26:39,640
Speaker 1: where it is now?

602
00:26:39,960 --> 00:26:42,320
Speaker 15: What it is is a generational changer, right, I mean

603
00:26:42,359 --> 00:26:45,800
Speaker 15: we see generations and generations come through that are learning,

604
00:26:45,920 --> 00:26:48,760
Speaker 15: that are growing, that are being blessed, that are blessing others.

605
00:26:49,080 --> 00:26:51,040
Speaker 15: And so I think that the beauty of what Charlie

606
00:26:51,040 --> 00:26:52,760
Speaker 15: has been able to do as an example for all

607
00:26:52,760 --> 00:26:55,080
Speaker 15: these young people is that he's been able to capture

608
00:26:55,080 --> 00:26:57,280
Speaker 15: the hearts and minds of people who really want to

609
00:26:57,280 --> 00:26:59,720
Speaker 15: do better, and they've been able to grow. And I've

610
00:26:59,720 --> 00:27:01,520
Speaker 15: seen the growth and some of the young people that

611
00:27:01,560 --> 00:27:04,960
Speaker 15: were here from a very first SAS event is now

612
00:27:05,080 --> 00:27:07,520
Speaker 15: leading in this country. So it's been really good to

613
00:27:07,520 --> 00:27:08,280
Speaker 15: see the progression.

614
00:27:08,400 --> 00:27:10,919
Speaker 1: No, and you absolutely do see it in terms of

615
00:27:11,280 --> 00:27:14,040
Speaker 1: the voting, right, because if you were you know, if

616
00:27:14,080 --> 00:27:17,080
Speaker 1: you were coming up through college, you were eighteen twenty two.

617
00:27:17,280 --> 00:27:19,200
Speaker 1: But now when you look at that eighteen to twenty

618
00:27:19,280 --> 00:27:22,800
Speaker 1: nine demographic, look, that's a voting block. And guess what

619
00:27:22,960 --> 00:27:26,359
Speaker 1: the new gen Z voting block. It's totally upending politics

620
00:27:26,480 --> 00:27:29,439
Speaker 1: when they saw it, particularly gen Z men that switched

621
00:27:29,480 --> 00:27:32,320
Speaker 1: over for Trump. So far at gen Z women, we'll

622
00:27:32,359 --> 00:27:34,560
Speaker 1: work on that. We'll work on that. Talk to Charlie

623
00:27:34,600 --> 00:27:38,280
Speaker 1: about it. But this was something that up ended politics

624
00:27:38,280 --> 00:27:42,160
Speaker 1: because the conventional thinking was that always the youth vote

625
00:27:42,200 --> 00:27:44,560
Speaker 1: is going to be leftist, and then as they get older,

626
00:27:44,920 --> 00:27:48,000
Speaker 1: they are going to be more conservative millennials and you know,

627
00:27:48,040 --> 00:27:51,080
Speaker 1: I call them gen Y centennials. They're kind of on

628
00:27:51,160 --> 00:27:54,639
Speaker 1: that arc where that's now sort of your your fifty

629
00:27:54,640 --> 00:27:55,119
Speaker 1: to fifty.

630
00:27:55,280 --> 00:27:56,480
Speaker 3: But gen Z is not like.

631
00:27:56,480 --> 00:27:58,960
Speaker 15: That, right, I mean, just imagine a world without turning

632
00:27:59,000 --> 00:28:00,960
Speaker 15: pin USA. I don't think we'll have on that stry.

633
00:28:01,520 --> 00:28:03,880
Speaker 15: I don't think that young people will have another outlet

634
00:28:04,200 --> 00:28:07,000
Speaker 15: to hear something different in what they hear on campus

635
00:28:07,080 --> 00:28:10,600
Speaker 15: and being lied to by the mainstream media. So what

636
00:28:10,680 --> 00:28:12,680
Speaker 15: Charlie has done and what these young people have been

637
00:28:12,680 --> 00:28:15,280
Speaker 15: able to do over this amount of time has been

638
00:28:15,320 --> 00:28:19,480
Speaker 15: incredible and literally is a huge part in saving our country.

639
00:28:19,640 --> 00:28:23,320
Speaker 1: Now when we talk about saving our country, everybody's asking

640
00:28:23,359 --> 00:28:26,040
Speaker 1: me about it, and I've been open about it. They say, hey, Jack,

641
00:28:26,480 --> 00:28:27,720
Speaker 1: you know I've seen this picture.

642
00:28:27,760 --> 00:28:30,879
Speaker 3: You were the binder. It says Jeffrey Epstein on it. Now,

643
00:28:30,880 --> 00:28:31,639
Speaker 3: all of a sudden, the.

644
00:28:31,680 --> 00:28:34,919
Speaker 1: DJ has come out with their memo what's going on?

645
00:28:35,000 --> 00:28:36,119
Speaker 3: When it's I said, wait a minute.

646
00:28:36,160 --> 00:28:38,680
Speaker 1: First of all, I uploaded all that stuff from the

647
00:28:38,720 --> 00:28:40,560
Speaker 1: binder a day I got it. The very first day

648
00:28:40,600 --> 00:28:41,800
Speaker 1: I got it, I put it up and I say,

649
00:28:41,840 --> 00:28:44,360
Speaker 1: here's the link. Everyone can see it. The problem was

650
00:28:45,240 --> 00:28:47,440
Speaker 1: all the stuff that had been in that binder, it

651
00:28:47,480 --> 00:28:51,240
Speaker 1: had kind of already been released through various court cases.

652
00:28:51,240 --> 00:28:54,760
Speaker 1: And there was actually an itemized list that came from

653
00:28:54,760 --> 00:28:58,400
Speaker 1: one of the search warrants that had not yet been published,

654
00:28:58,400 --> 00:29:01,920
Speaker 1: so one page basically an items But all of this

655
00:29:02,120 --> 00:29:05,320
Speaker 1: obviously been a huge controversy. People waiting for answers. They say,

656
00:29:05,320 --> 00:29:07,920
Speaker 1: wait a minute, we've promised answers. We haven't got those answers.

657
00:29:08,040 --> 00:29:11,000
Speaker 1: And I thought, you know what, with your law enforcement background,

658
00:29:11,240 --> 00:29:12,920
Speaker 1: right when I was in the military, I was an

659
00:29:12,920 --> 00:29:15,760
Speaker 1: intelligent agent. So we had different missions. I was just

660
00:29:15,800 --> 00:29:18,200
Speaker 1: trying to collect all the information I could, and we

661
00:29:18,200 --> 00:29:20,680
Speaker 1: were going to go either roll somebody up or put

662
00:29:20,720 --> 00:29:23,640
Speaker 1: warheads on foreheads. I didn't have to worry about a

663
00:29:23,720 --> 00:29:26,880
Speaker 1: court case. I didn't have to worry about, you know,

664
00:29:27,600 --> 00:29:30,160
Speaker 1: having a war end or all of these these for

665
00:29:30,320 --> 00:29:33,800
Speaker 1: me like just these extra pieces of the puzzle that

666
00:29:33,880 --> 00:29:35,480
Speaker 1: law enforcement would have to put into.

667
00:29:35,560 --> 00:29:38,240
Speaker 3: So can you try to distill some of this for us?

668
00:29:38,400 --> 00:29:39,880
Speaker 3: How do these cases work?

669
00:29:40,240 --> 00:29:45,120
Speaker 1: And do the items that people want does that actually exist?

670
00:29:45,320 --> 00:29:46,240
Speaker 4: Well, that's a good question.

671
00:29:46,320 --> 00:29:48,400
Speaker 15: I think that the problem that we have now is

672
00:29:48,400 --> 00:29:50,880
Speaker 15: that we have no idea what we don't know, right,

673
00:29:50,960 --> 00:29:54,480
Speaker 15: I mean, we don't know if the information was available,

674
00:29:54,600 --> 00:29:57,960
Speaker 15: meaning the investigation material was available and it's been deleted.

675
00:29:58,000 --> 00:30:00,240
Speaker 15: So therefore they really don't have anything to present. We

676
00:30:00,240 --> 00:30:01,760
Speaker 15: don't know if they have someone to present but they

677
00:30:01,800 --> 00:30:04,880
Speaker 15: refuse to present it. We don't know if Kesh Mattel

678
00:30:05,040 --> 00:30:07,480
Speaker 15: and Dan Bungino wants to present it but Pam Bunny doesn't.

679
00:30:07,720 --> 00:30:09,240
Speaker 15: We don't know if all of them want to present it,

680
00:30:09,280 --> 00:30:11,400
Speaker 15: but Trump don't want it to happen. So it's a

681
00:30:11,440 --> 00:30:13,200
Speaker 15: lot to be involved in. And I'll tell you this

682
00:30:13,240 --> 00:30:15,920
Speaker 15: from a law enforcement perspective is that you always got

683
00:30:16,000 --> 00:30:18,000
Speaker 15: to have an open mind, don't get married to a

684
00:30:18,080 --> 00:30:21,200
Speaker 15: narrative because it's very scary in the terrain that we're in,

685
00:30:21,480 --> 00:30:24,120
Speaker 15: because we don't know who to trust and who's devoting

686
00:30:24,120 --> 00:30:26,000
Speaker 15: information or not. And what I can say is that

687
00:30:26,560 --> 00:30:28,880
Speaker 15: just so everybody's clear, and I love Donald Trump be

688
00:30:28,920 --> 00:30:29,640
Speaker 15: my favorite president.

689
00:30:29,640 --> 00:30:31,800
Speaker 4: I vote for him fifteen times if it was legal.

690
00:30:32,360 --> 00:30:36,960
Speaker 15: But the investigation started a long time ago. This wasn't

691
00:30:37,000 --> 00:30:39,840
Speaker 15: an investigation that started when Jefstein went to jail. This

692
00:30:39,920 --> 00:30:42,880
Speaker 15: was an investigation that concluded to in part when Epstein

693
00:30:42,880 --> 00:30:45,560
Speaker 15: went to jail. So the first Trump administration had to

694
00:30:45,640 --> 00:30:49,000
Speaker 15: be privy to what information was available that caused him

695
00:30:49,000 --> 00:30:53,000
Speaker 15: to be arrested and put into jail. Now, beyond that point,

696
00:30:53,720 --> 00:30:56,720
Speaker 15: both administrations, the Biden and Trump administration, had to.

697
00:30:56,640 --> 00:31:00,240
Speaker 4: Know if there is actually a list or not. And

698
00:31:00,280 --> 00:31:00,960
Speaker 4: the fact that we.

699
00:31:00,920 --> 00:31:03,360
Speaker 15: Don't know the truth about it is concerning to me.

700
00:31:03,600 --> 00:31:05,080
Speaker 15: But what I will say this, I don't want to

701
00:31:05,080 --> 00:31:05,760
Speaker 15: throw the baby up.

702
00:31:05,720 --> 00:31:06,360
Speaker 4: With the bathwater.

703
00:31:06,680 --> 00:31:09,440
Speaker 15: I think that we should trust the people who we've

704
00:31:09,480 --> 00:31:12,200
Speaker 15: trusted for so many years that eventually the truth will

705
00:31:12,200 --> 00:31:14,520
Speaker 15: come out. Donald Trump is a man of integrity. I've

706
00:31:14,560 --> 00:31:16,880
Speaker 15: known that. I think Keschwittail is a man of integrity.

707
00:31:16,920 --> 00:31:19,320
Speaker 15: I don't know Pam Bundy much. Dan Bongino is one

708
00:31:19,320 --> 00:31:22,480
Speaker 15: of my favorites. So I'm just waiting to say there's

709
00:31:22,520 --> 00:31:24,920
Speaker 15: more to the story. I want to let it play

710
00:31:24,920 --> 00:31:26,560
Speaker 15: out and we'll see where it ended up.

711
00:31:26,800 --> 00:31:29,880
Speaker 1: So you mentioned the twenty nineteen arrest, and people, of

712
00:31:29,920 --> 00:31:31,920
Speaker 1: course remember that's why he was in jail. But what people,

713
00:31:31,960 --> 00:31:34,320
Speaker 1: I think forget and you know that gets lost in

714
00:31:34,320 --> 00:31:36,760
Speaker 1: the story I should say, is that he was in

715
00:31:36,840 --> 00:31:40,240
Speaker 1: jail pending trial. So that trial never took place. Now,

716
00:31:40,560 --> 00:31:44,080
Speaker 1: a lot of this material, I think probably, and this

717
00:31:44,120 --> 00:31:47,440
Speaker 1: is something that law enforcement and prosecutors they wouldn't make

718
00:31:47,480 --> 00:31:50,480
Speaker 1: that public. Why because they wouldn't want to tip off

719
00:31:50,520 --> 00:31:53,680
Speaker 1: Epstein's lawyers as to what their strategy would be. Now,

720
00:31:53,680 --> 00:31:55,400
Speaker 1: of course they would have to give it to him

721
00:31:55,440 --> 00:31:59,280
Speaker 1: eventually at some point. But because his death happened when

722
00:31:59,320 --> 00:32:02,320
Speaker 1: it did, suspicious deaths, to say the least.

723
00:32:02,120 --> 00:32:04,560
Speaker 3: When it happened when it did, we never got that trial.

724
00:32:04,840 --> 00:32:08,240
Speaker 1: So all of that information that's got to exist somewhere,

725
00:32:08,280 --> 00:32:10,960
Speaker 1: because of course they were building a case against them.

726
00:32:10,880 --> 00:32:13,640
Speaker 4: Right and Gule Maxwell is in jail right.

727
00:32:13,480 --> 00:32:17,479
Speaker 15: Now, precisely for exactly that there had to be evidence

728
00:32:17,520 --> 00:32:20,120
Speaker 15: presented against her for her to be in jail, there

729
00:32:20,160 --> 00:32:22,440
Speaker 15: has to be crimes because she was the middle person

730
00:32:22,640 --> 00:32:26,680
Speaker 15: between connecting victims to the suspects, and so with all

731
00:32:26,680 --> 00:32:28,800
Speaker 15: of that information and details had to be presented to

732
00:32:28,840 --> 00:32:31,240
Speaker 15: her in court against her in court for it to

733
00:32:31,280 --> 00:32:33,320
Speaker 15: even be able to go to jail and be sentenced.

734
00:32:33,440 --> 00:32:36,080
Speaker 15: So it existed. But this is not something new man.

735
00:32:36,160 --> 00:32:39,360
Speaker 15: This is mob tactics. This is hood tactics. If there

736
00:32:39,440 --> 00:32:43,040
Speaker 15: is no person to testifying court, then there you go

737
00:32:43,200 --> 00:32:43,800
Speaker 15: the evidence.

738
00:32:44,760 --> 00:32:47,080
Speaker 1: I'm from the Philly area, and they got a certain

739
00:32:47,120 --> 00:32:49,920
Speaker 1: saying about snitches in the Philly area, right, they said,

740
00:32:49,920 --> 00:32:52,400
Speaker 1: because people say, Actually, the New York Times did a

741
00:32:52,880 --> 00:32:55,600
Speaker 1: it's funny you mentioned that. They just study just recently said,

742
00:32:55,640 --> 00:32:58,360
Speaker 1: I think it's only fifty eight percent of homicides are

743
00:32:58,360 --> 00:32:59,720
Speaker 1: solved in the United States.

744
00:33:00,040 --> 00:33:01,000
Speaker 3: I said, well, in Philly.

745
00:33:01,040 --> 00:33:01,520
Speaker 4: I know why.

746
00:33:01,680 --> 00:33:04,040
Speaker 1: I'll tell you exactly why that is. That's because nobody

747
00:33:04,040 --> 00:33:07,520
Speaker 1: saw nothing. Nobody heard nothing. Nobody saw nothing. Wait a minute,

748
00:33:07,600 --> 00:33:10,200
Speaker 1: you were right there this ring camera. I didn't see nothing,

749
00:33:10,960 --> 00:33:12,280
Speaker 1: I ain't hear nothing.

750
00:33:11,800 --> 00:33:14,720
Speaker 15: Snitches get stitches, is what they say. I don't agree

751
00:33:14,720 --> 00:33:17,000
Speaker 15: with it, right, I think snitching is humble. You need

752
00:33:17,000 --> 00:33:18,200
Speaker 15: to snitch on these people to get these.

753
00:33:18,360 --> 00:33:21,120
Speaker 1: But what I'm saying, that's the dynamic that leads people

754
00:33:21,160 --> 00:33:21,800
Speaker 1: to not be able.

755
00:33:22,320 --> 00:33:23,840
Speaker 3: If you don't have any information, where are you going

756
00:33:23,880 --> 00:33:24,400
Speaker 3: to investigate?

757
00:33:24,480 --> 00:33:26,280
Speaker 4: Well, check this out. I mean, we got to think too.

758
00:33:26,600 --> 00:33:30,000
Speaker 15: There's implications that there could be incredibly powerful people that

759
00:33:30,080 --> 00:33:33,160
Speaker 15: are associated with the crimes committed by f Stein and

760
00:33:33,200 --> 00:33:36,240
Speaker 15: Gala Maxwell. With that being said, how do you think

761
00:33:36,280 --> 00:33:39,920
Speaker 15: it's possible that if those people are potentially involved in this,

762
00:33:40,000 --> 00:33:41,280
Speaker 15: that he will ever make it a trial.

763
00:33:42,280 --> 00:33:43,440
Speaker 4: They would not let it happen.

764
00:33:43,680 --> 00:33:46,520
Speaker 15: Either he's saving face by doing it to himself, or

765
00:33:46,560 --> 00:33:49,560
Speaker 15: somebody else made sure that he couldn't testify.

766
00:33:49,080 --> 00:33:51,560
Speaker 1: You know, or and I remember saying this, and I'll

767
00:33:51,560 --> 00:33:52,040
Speaker 1: say it again.

768
00:33:52,080 --> 00:33:53,480
Speaker 3: You know, people get mad at you said.

769
00:33:53,520 --> 00:33:56,200
Speaker 1: Look when you mentioned about not being married to your hypothesis.

770
00:33:56,320 --> 00:33:58,800
Speaker 1: They do teach us that as well in intelligence school.

771
00:33:59,200 --> 00:34:01,640
Speaker 1: And one of the things they do to help us

772
00:34:01,680 --> 00:34:04,360
Speaker 1: to fight against that or prevent that mentally is what

773
00:34:04,400 --> 00:34:05,040
Speaker 1: they teach.

774
00:34:04,880 --> 00:34:06,360
Speaker 3: Es is an ac H.

775
00:34:06,480 --> 00:34:09,760
Speaker 1: They want you to construct an analysis of competing hypotheses.

776
00:34:10,000 --> 00:34:14,840
Speaker 1: And then when you do that, you actually basically it's

777
00:34:14,880 --> 00:34:18,520
Speaker 1: like competing against your each hypothesis. So you lay it out,

778
00:34:18,680 --> 00:34:20,239
Speaker 1: then you lay out the next one. They lay out

779
00:34:20,280 --> 00:34:22,400
Speaker 1: the third one, and I think, okay, was he murdered

780
00:34:22,640 --> 00:34:25,120
Speaker 1: all right? Was he murdered by a guard? Was he

781
00:34:25,200 --> 00:34:27,480
Speaker 1: murdered by a prisoner that was on the block with him,

782
00:34:27,800 --> 00:34:29,000
Speaker 1: or did he commit suicide?

783
00:34:29,120 --> 00:34:30,240
Speaker 3: Did he commit suicide?

784
00:34:30,239 --> 00:34:31,879
Speaker 1: And then you put out and you lay out all

785
00:34:31,920 --> 00:34:34,120
Speaker 1: the evidence for each you lay out how each of

786
00:34:34,160 --> 00:34:35,840
Speaker 1: it would work. And so one of the ones that

787
00:34:35,920 --> 00:34:38,040
Speaker 1: I even said, which I do kind of wonder about,

788
00:34:38,200 --> 00:34:41,160
Speaker 1: is because I do trust Cash and Dan, and they say,

789
00:34:41,239 --> 00:34:42,360
Speaker 1: we don't think someone did.

790
00:34:42,200 --> 00:34:45,160
Speaker 3: That, And I said, okay, what if.

791
00:34:45,120 --> 00:34:49,719
Speaker 1: He felt intimidated? What if he felt he was being threatened?

792
00:34:50,000 --> 00:34:55,240
Speaker 1: And if so, that drove him to kill himself. Now,

793
00:34:56,239 --> 00:34:58,960
Speaker 1: on paper, you would call that suicide. But we in

794
00:34:59,000 --> 00:35:00,560
Speaker 1: the real world, we know that's something else.

795
00:35:00,800 --> 00:35:05,200
Speaker 15: One thousand percent. Man, it's not above reality. For somebody

796
00:35:05,239 --> 00:35:07,880
Speaker 15: who's facing petition to the rest of their lives in prison

797
00:35:08,200 --> 00:35:11,240
Speaker 15: and being the fallman who eventually somebody would kill him. Anyway,

798
00:35:11,280 --> 00:35:13,560
Speaker 15: I think that he would be the fall man indicting

799
00:35:13,560 --> 00:35:14,239
Speaker 15: all these other people.

800
00:35:14,239 --> 00:35:15,239
Speaker 3: If you want to live the rest of your life

801
00:35:15,280 --> 00:35:16,359
Speaker 3: looking over your shoulder.

802
00:35:16,280 --> 00:35:18,440
Speaker 15: Or you didn't think this guy was living on a

803
00:35:18,480 --> 00:35:20,200
Speaker 15: high heart. We don't know how he made his money,

804
00:35:20,239 --> 00:35:22,520
Speaker 15: but he was rich. He had one of the nicest

805
00:35:22,560 --> 00:35:25,880
Speaker 15: places in New York City, flying private everywhere, he knew everybody.

806
00:35:26,040 --> 00:35:29,680
Speaker 15: I mean, just the arrogance of a narcissist like that

807
00:35:29,800 --> 00:35:31,759
Speaker 15: would probably lead them to say, I can't spend the

808
00:35:31,800 --> 00:35:33,840
Speaker 15: rest of my life in prison, knowing that he probably

809
00:35:33,880 --> 00:35:35,440
Speaker 15: would spend a rest of life in prison if they

810
00:35:35,520 --> 00:35:37,880
Speaker 15: knew what was actually out there with evidence. But what

811
00:35:37,920 --> 00:35:40,960
Speaker 15: I will say is this, I use the same theology

812
00:35:41,000 --> 00:35:44,399
Speaker 15: that you're saying about everything in life. You never get

813
00:35:44,400 --> 00:35:47,400
Speaker 15: married to a thesis. Even with my faith in God.

814
00:35:47,400 --> 00:35:51,840
Speaker 4: I say, I'm going to challenge my challenge. Yes, someone approaches.

815
00:35:51,400 --> 00:35:53,840
Speaker 15: Me with information about the Bible or anything else, I

816
00:35:53,880 --> 00:35:55,840
Speaker 15: don't shy away from him and say, well, I'm a Christian, so.

817
00:35:55,840 --> 00:35:56,640
Speaker 4: I can't consider it.

818
00:35:56,880 --> 00:35:59,440
Speaker 15: No, I'm going to consider every principle because what does

819
00:35:59,480 --> 00:36:01,640
Speaker 15: it do? Makes you stronger, It makes you deep, It

820
00:36:01,640 --> 00:36:03,640
Speaker 15: makes you go deeper in your faith when you find

821
00:36:03,640 --> 00:36:06,000
Speaker 15: out that the things you believe are real. That's how

822
00:36:06,040 --> 00:36:08,160
Speaker 15: I became a conservative. I said, I'm not going to

823
00:36:08,239 --> 00:36:10,600
Speaker 15: listen to what people are saying I should believe because

824
00:36:10,640 --> 00:36:13,279
Speaker 15: I'm black. Let me evaluate it for myself. And with

825
00:36:13,400 --> 00:36:15,360
Speaker 15: that being said, that's how I became conservative.

826
00:36:15,719 --> 00:36:17,520
Speaker 1: You know, that's that's such a good way of putting you.

827
00:36:17,600 --> 00:36:20,120
Speaker 1: And that really is I think the start of conservatism,

828
00:36:20,200 --> 00:36:22,680
Speaker 1: right is that we have There was that heat map

829
00:36:22,719 --> 00:36:24,759
Speaker 1: that came out recently. They said, you know, they were

830
00:36:24,760 --> 00:36:28,120
Speaker 1: looking at social media and they said, here are liberals

831
00:36:28,320 --> 00:36:31,240
Speaker 1: and they're talking points, and here are conservatives they're talking points.

832
00:36:31,400 --> 00:36:33,520
Speaker 1: And they said the liberals it was like a fist

833
00:36:33,840 --> 00:36:36,880
Speaker 1: right because it was all this one solid spot. They

834
00:36:36,920 --> 00:36:38,759
Speaker 1: all talk about the same thing, they all believe the

835
00:36:38,800 --> 00:36:41,200
Speaker 1: same thing. But then for conservatives, it was a web

836
00:36:41,640 --> 00:36:42,800
Speaker 1: and it was sort of you know, and it was

837
00:36:42,840 --> 00:36:45,399
Speaker 1: a cluster, but you know, it was like, okay, here's

838
00:36:45,400 --> 00:36:49,240
Speaker 1: your libertarians, here's your America first guys. You know, here's

839
00:36:49,280 --> 00:36:52,120
Speaker 1: your anti trands. You know, and there were various different

840
00:36:52,160 --> 00:36:55,480
Speaker 1: nodes along this web. Because that's what conservatism is. It's

841
00:36:55,520 --> 00:37:01,480
Speaker 1: not lockstep conformity, is in fact critical thought and critical reasoning.

842
00:37:01,800 --> 00:37:05,839
Speaker 15: Critical thought, critical reason in comparison to emotionalism. The way

843
00:37:05,920 --> 00:37:08,080
Speaker 15: that they're able to get certain people to have a

844
00:37:08,080 --> 00:37:10,960
Speaker 15: heat map that's that strong is they get them emotional

845
00:37:11,120 --> 00:37:12,960
Speaker 15: and people that don't know how to manage their emotions.

846
00:37:12,960 --> 00:37:13,960
Speaker 4: This is how they fall.

847
00:37:13,800 --> 00:37:16,920
Speaker 15: Into a trap of being sure deceived one percent if

848
00:37:16,960 --> 00:37:18,839
Speaker 15: you do an evaluation, I haven't done it yet.

849
00:37:18,880 --> 00:37:21,319
Speaker 4: I'm pretty sure if the science came out, it will be.

850
00:37:21,400 --> 00:37:24,160
Speaker 15: The people that tend to lean left and listen to

851
00:37:24,200 --> 00:37:27,240
Speaker 15: the foolery that they're putting out in the media. They're

852
00:37:27,280 --> 00:37:31,719
Speaker 15: doing it through weaponized empathy, weaponized emotions, and conservatives aren't

853
00:37:31,719 --> 00:37:34,040
Speaker 15: those type of people. And that's why you see certain

854
00:37:34,080 --> 00:37:37,040
Speaker 15: demographics of people that are leaning more conservative, whether it

855
00:37:37,120 --> 00:37:40,239
Speaker 15: be six or whether it be race or whatever. You

856
00:37:40,280 --> 00:37:43,560
Speaker 15: see a difference in people's the way they receive information

857
00:37:43,880 --> 00:37:46,320
Speaker 15: and you see the way it's presented by how they vote.

858
00:37:46,480 --> 00:37:49,759
Speaker 1: No, it's absolutely true, and it's just now come out.

859
00:37:50,040 --> 00:37:55,000
Speaker 1: They've they still finished the end of the final analysis

860
00:37:55,040 --> 00:37:58,040
Speaker 1: of the election. Donald Trump won a majority of hismanic mails,

861
00:37:58,200 --> 00:38:01,439
Speaker 1: a majority, not just a lot.

862
00:38:01,520 --> 00:38:04,000
Speaker 3: There wasn't just a no. He won them out right.

863
00:38:04,400 --> 00:38:07,040
Speaker 3: And so we were told, we were told over and

864
00:38:07,120 --> 00:38:09,719
Speaker 3: over and over that, oh, Donald Trump he wants a wall.

865
00:38:09,800 --> 00:38:11,320
Speaker 3: Donald Trump, he wants he never.

866
00:38:11,120 --> 00:38:13,960
Speaker 1: Gonna you know, he wants deportations. He's never gonna win Hispanics.

867
00:38:14,000 --> 00:38:16,040
Speaker 1: And yeah, he wont all Hispanic men. How did he

868
00:38:16,120 --> 00:38:18,960
Speaker 1: do that? Because they saw the status of their country.

869
00:38:19,120 --> 00:38:21,560
Speaker 1: They said, wait a minute. Who wants to get rich,

870
00:38:21,600 --> 00:38:23,359
Speaker 1: who wants to get jobs? Who wants to do all this?

871
00:38:23,760 --> 00:38:27,160
Speaker 1: We do too that you know, money doesn't have a race, doesn't.

872
00:38:27,160 --> 00:38:30,120
Speaker 15: Right right exactly, And what it boils down to is

873
00:38:30,160 --> 00:38:33,920
Speaker 15: people with common sense are the people that will listen

874
00:38:33,960 --> 00:38:36,560
Speaker 15: to a message of freedom, listen to the message of

875
00:38:36,600 --> 00:38:40,160
Speaker 15: American exceptionalism, and those are the ones that will become conservative.

876
00:38:40,239 --> 00:38:41,960
Speaker 15: And it's only a matter of time when people like

877
00:38:42,000 --> 00:38:44,799
Speaker 15: you and I are presenting the truth that people will

878
00:38:44,840 --> 00:38:45,600
Speaker 15: beginning to wake up.

879
00:38:45,840 --> 00:38:48,319
Speaker 3: Precisely that tell us your social everybody knows it. But

880
00:38:48,360 --> 00:38:48,919
Speaker 3: throw out your.

881
00:38:48,800 --> 00:38:52,160
Speaker 15: Social media again the officer statum on every single platform

882
00:38:52,360 --> 00:38:53,040
Speaker 15: you can find me.

883
00:38:53,880 --> 00:39:06,200
Speaker 3: Complish take care. Jack is a great guy. Everybody's talking

884
00:39:06,239 --> 00:39:06,600
Speaker 3: about it.

885
00:39:06,640 --> 00:39:07,279
Speaker 10: Go get it.

886
00:39:16,360 --> 00:39:17,520
Speaker 3: All right, Jack Kisobik.

887
00:39:17,640 --> 00:39:20,280
Speaker 1: We are here on the sidelines of the Turning Point

888
00:39:20,560 --> 00:39:24,799
Speaker 1: student Action. We're talking to grassroots, We're talking to the

889
00:39:24,840 --> 00:39:27,200
Speaker 1: gen zs and so I had to and this is

890
00:39:27,200 --> 00:39:27,719
Speaker 1: this is what I do.

891
00:39:27,800 --> 00:39:29,440
Speaker 3: You know, I find there's.

892
00:39:29,360 --> 00:39:31,839
Speaker 1: There's there's so many people that want to like tell

893
00:39:31,920 --> 00:39:34,360
Speaker 1: gen Z what to think, and I'm like, maybe I should,

894
00:39:34,360 --> 00:39:36,600
Speaker 1: we should just listen. I don't know, like that's that's,

895
00:39:36,640 --> 00:39:39,040
Speaker 1: you know, such a wild concept, the crazy concept that

896
00:39:39,120 --> 00:39:39,480
Speaker 1: I do.

897
00:39:39,880 --> 00:39:42,480
Speaker 3: So we've got one of our great gen Z whisperers,

898
00:39:42,600 --> 00:39:44,920
Speaker 3: Ruvia Kolschuk is here with us, Olivia. Thank you so

899
00:39:44,960 --> 00:39:46,960
Speaker 3: much for me. Thank you the first time in person, by

900
00:39:47,000 --> 00:39:48,080
Speaker 3: the way. Pretty cool.

901
00:39:48,520 --> 00:39:52,160
Speaker 1: Finally, right, and it was inevitable. Is Olivia culture can

902
00:39:52,160 --> 00:39:52,480
Speaker 1: ever go?

903
00:39:52,520 --> 00:39:52,880
Speaker 14: I don't know.

904
00:39:53,160 --> 00:39:54,359
Speaker 3: Okay, there she is, all right.

905
00:39:54,640 --> 00:39:57,480
Speaker 1: So I was asking before we came on, what is

906
00:39:57,520 --> 00:40:00,400
Speaker 1: the hottest you would say when you go to post,

907
00:40:00,600 --> 00:40:03,439
Speaker 1: when you're out there online, what is the hottest number

908
00:40:03,480 --> 00:40:04,759
Speaker 1: one issue with gen Z right now?

909
00:40:04,840 --> 00:40:07,279
Speaker 16: I would say, whenever I post, the most important or

910
00:40:07,360 --> 00:40:09,680
Speaker 16: the one that blows up the most is definitely deportations,

911
00:40:09,800 --> 00:40:12,400
Speaker 16: especially even you know we have a white house posting

912
00:40:12,480 --> 00:40:15,440
Speaker 16: themes of deportations. It's hilarious.

913
00:40:15,440 --> 00:40:17,040
Speaker 3: So I definitely think that appeals to Benzi.

914
00:40:17,560 --> 00:40:21,400
Speaker 1: So so it's the memes about the deportation. So you know,

915
00:40:21,480 --> 00:40:23,279
Speaker 1: the meme is because you know what's funny is I

916
00:40:23,320 --> 00:40:25,160
Speaker 1: remember there's a lot of people that have attacked the

917
00:40:25,160 --> 00:40:27,279
Speaker 1: White House for posting things like I say, you're making

918
00:40:27,360 --> 00:40:31,200
Speaker 1: light of it. Mike Solana wrote like a five thousand

919
00:40:31,280 --> 00:40:34,920
Speaker 1: word essay denouncing me over a studio Ghibli meme. But

920
00:40:35,000 --> 00:40:39,560
Speaker 1: also he claimed that we were abusing anime by by

921
00:40:39,640 --> 00:40:43,120
Speaker 1: posting a meme about deportations. And I'm like, no, it's

922
00:40:43,160 --> 00:40:46,560
Speaker 1: not abuse, it's it's it's communication. So do you think

923
00:40:46,800 --> 00:40:49,080
Speaker 1: this actually helps to communicate to the younger audience?

924
00:40:49,080 --> 00:40:49,839
Speaker 3: One percent?

925
00:40:50,000 --> 00:40:52,560
Speaker 16: Absolutely, because what's a feeling to a bunch of high schoolers.

926
00:40:52,560 --> 00:40:53,720
Speaker 3: There are a bunch of people going into.

927
00:40:53,600 --> 00:40:55,839
Speaker 16: College meme because all they they all they look at

928
00:40:55,880 --> 00:40:59,200
Speaker 16: is social media. So I think being layable in that aspect.

929
00:40:58,800 --> 00:41:00,279
Speaker 9: And you can make it for like.

930
00:41:00,239 --> 00:41:02,239
Speaker 16: Harder because I think it's hard to appeal to a

931
00:41:02,239 --> 00:41:04,600
Speaker 16: bunch of high schoolers get them interested in politics. But

932
00:41:04,760 --> 00:41:07,040
Speaker 16: everything is so by the book and so serious, So

933
00:41:07,080 --> 00:41:08,040
Speaker 16: I think that means like.

934
00:41:08,000 --> 00:41:10,319
Speaker 3: They're not they're not sitting down reading questions. I don't

935
00:41:10,320 --> 00:41:11,839
Speaker 3: even want to do that. So I think it's great.

936
00:41:13,120 --> 00:41:16,120
Speaker 1: So so when it comes down and I agree completely,

937
00:41:16,160 --> 00:41:19,560
Speaker 1: this is why I've always embraced memes. I think memes

938
00:41:19,560 --> 00:41:22,160
Speaker 1: are they cut across communication, they cut it. You know,

939
00:41:22,239 --> 00:41:25,279
Speaker 1: you can communicate a message. But there's there's I could

940
00:41:25,280 --> 00:41:27,319
Speaker 1: get into a whole dissertation on like why the left

941
00:41:27,360 --> 00:41:30,799
Speaker 1: can't mean because the only I will say this, since

942
00:41:30,840 --> 00:41:32,840
Speaker 1: we're on the subject, the.

943
00:41:32,680 --> 00:41:36,520
Speaker 3: Only memes that go viral are the memes.

944
00:41:36,160 --> 00:41:38,799
Speaker 1: That are true. Because so for a meme to be

945
00:41:38,840 --> 00:41:41,920
Speaker 1: a good meme, it must contain truth and be a

946
00:41:42,000 --> 00:41:45,200
Speaker 1: distillation of truth. Because for a meme to be false,

947
00:41:45,600 --> 00:41:48,200
Speaker 1: then it is not a meme. Not that's a force meme. Yeah,

948
00:41:48,960 --> 00:41:50,520
Speaker 1: that's that's forced exactly.

949
00:41:50,719 --> 00:41:50,879
Speaker 3: Yes.

950
00:41:51,000 --> 00:41:52,919
Speaker 1: And by this, so what all of which to say

951
00:41:53,000 --> 00:41:56,040
Speaker 1: is the left cannot mean because they are memes themselves.

952
00:41:57,239 --> 00:41:59,520
Speaker 16: Yeah, actually that's a great post. I might post that

953
00:41:59,600 --> 00:42:01,600
Speaker 16: on at. I mean, you see the stuff that I post.

954
00:42:01,640 --> 00:42:04,680
Speaker 16: I'm definitely very lighthearted. I'm not very serious. And I

955
00:42:04,680 --> 00:42:06,680
Speaker 16: think that's how I have such a large base of

956
00:42:06,800 --> 00:42:08,840
Speaker 16: young people. I mean, most of my following is eighteen

957
00:42:08,880 --> 00:42:10,799
Speaker 16: to twenty five because I can appeal to them.

958
00:42:10,840 --> 00:42:12,640
Speaker 3: I can you know, relate to them with stories.

959
00:42:12,680 --> 00:42:15,680
Speaker 1: So then so then when it comes to the deportations issue, though,

960
00:42:15,760 --> 00:42:17,719
Speaker 1: because you know, I'll just say this. You know, this

961
00:42:17,760 --> 00:42:21,000
Speaker 1: is an issue that people when I talk to you know, millennials,

962
00:42:21,040 --> 00:42:24,000
Speaker 1: gen X, baby boomers, you know, they want it, but

963
00:42:24,040 --> 00:42:27,520
Speaker 1: it's as as a skew older, it's not the highest

964
00:42:27,560 --> 00:42:28,040
Speaker 1: issue there.

965
00:42:28,200 --> 00:42:30,000
Speaker 3: Why is it such a big issue for gen Z?

966
00:42:30,640 --> 00:42:32,399
Speaker 16: Once again, I'm going to go back to, I think

967
00:42:32,560 --> 00:42:34,880
Speaker 16: just because it's funny. It's the thing that's pushed out

968
00:42:34,960 --> 00:42:37,040
Speaker 16: the most all the videos. When I go on tip

969
00:42:37,080 --> 00:42:39,600
Speaker 16: talk or something, the first video to pop up is

970
00:42:39,640 --> 00:42:41,600
Speaker 16: going to be from the ice from White House, those

971
00:42:41,680 --> 00:42:43,000
Speaker 16: videos exactly.

972
00:42:43,040 --> 00:42:45,000
Speaker 3: Whenever I go on to tap, that's the first.

973
00:42:44,760 --> 00:42:45,400
Speaker 4: Thing to pop up.

974
00:42:45,480 --> 00:42:47,880
Speaker 16: Its guess the highest views on their accounts or took that.

975
00:42:48,120 --> 00:42:50,080
Speaker 16: So I think this is funny?

976
00:42:50,360 --> 00:42:51,799
Speaker 3: Is it is? It is?

977
00:42:51,840 --> 00:42:53,680
Speaker 1: I guess there is an angle to of sort of

978
00:42:53,680 --> 00:42:56,920
Speaker 1: the economic situation of gen Z. Yeah, And you know,

979
00:42:57,239 --> 00:43:00,000
Speaker 1: whenever I read studies, you know, you see how it's

980
00:43:00,080 --> 00:43:03,040
Speaker 1: you know, gen Z just lagging way behind every generation

981
00:43:03,200 --> 00:43:06,520
Speaker 1: that's come before in terms of you know, being able

982
00:43:06,520 --> 00:43:08,560
Speaker 1: to get into the workforce, to be able to find work,

983
00:43:08,640 --> 00:43:12,360
Speaker 1: to generate well, to get independently wealthy. And then it's like,

984
00:43:12,800 --> 00:43:15,680
Speaker 1: I guess there's this idea or perhaps the overall meme

985
00:43:16,040 --> 00:43:18,640
Speaker 1: is that it's this massive which by the way, it

986
00:43:18,719 --> 00:43:21,239
Speaker 1: isn't a meme that's going to be clear about this, right,

987
00:43:21,320 --> 00:43:25,040
Speaker 1: it's funny, right, and they are funny, But but they're

988
00:43:25,080 --> 00:43:27,560
Speaker 1: funny because they're true, right, And the reason they connect

989
00:43:27,760 --> 00:43:29,839
Speaker 1: is because there's truth to it that, yes, it is

990
00:43:29,840 --> 00:43:34,160
Speaker 1: the illegal alien invasion that's actually creating this huge anchor

991
00:43:34,200 --> 00:43:37,279
Speaker 1: and this huge weight on millennials, on gen z, on

992
00:43:37,400 --> 00:43:38,680
Speaker 1: anyone who's trying.

993
00:43:38,520 --> 00:43:40,000
Speaker 3: To just survive in Americans today.

994
00:43:40,200 --> 00:43:42,600
Speaker 16: I agree, and I think it's important that when people

995
00:43:42,719 --> 00:43:44,959
Speaker 16: my age or younger see these memes that they're able

996
00:43:45,000 --> 00:43:46,640
Speaker 16: to go ahead and do some research, like why do

997
00:43:46,680 --> 00:43:48,160
Speaker 16: we want illegals out so badly?

998
00:43:48,360 --> 00:43:51,520
Speaker 3: You know, opens up job opportunities. Yes, they're taking up

999
00:43:51,520 --> 00:43:53,520
Speaker 3: spaces in colleges, school I was just gonna say it,

1000
00:43:53,600 --> 00:43:54,719
Speaker 3: schools same.

1001
00:43:55,239 --> 00:43:57,680
Speaker 16: I know three people actually from one of my best

1002
00:43:57,719 --> 00:44:00,719
Speaker 16: friends colleges you are not to return because they weren't

1003
00:44:00,719 --> 00:44:03,279
Speaker 16: here legally. That's a three spots I could have gone

1004
00:44:03,320 --> 00:44:07,080
Speaker 16: to United States citizens. Yeah, like that isn't happening all accrassination.

1005
00:44:07,440 --> 00:44:09,719
Speaker 1: No, And and by the way, that's not just illegals,

1006
00:44:09,760 --> 00:44:12,600
Speaker 1: that's that's these these foreign students that are coming in

1007
00:44:13,200 --> 00:44:15,439
Speaker 1: that are getting led in because and by the way,

1008
00:44:15,440 --> 00:44:17,160
Speaker 1: they do that not because they're the best of the

1009
00:44:17,200 --> 00:44:19,360
Speaker 1: best or something. They do it because they have to

1010
00:44:19,400 --> 00:44:22,319
Speaker 1: pay full freights from if they're from China, if they're

1011
00:44:22,360 --> 00:44:26,040
Speaker 1: from India, wherever, they pay full free. So all these scholarships,

1012
00:44:26,040 --> 00:44:29,600
Speaker 1: et cetera that are going to American students, those slots

1013
00:44:29,600 --> 00:44:31,600
Speaker 1: go over because they get to they make more money.

1014
00:44:31,640 --> 00:44:34,160
Speaker 1: They have for money over to that exactly. And by

1015
00:44:34,160 --> 00:44:36,759
Speaker 1: the way, they're not coming here. They don't stay, they

1016
00:44:36,800 --> 00:44:39,040
Speaker 1: go back to their home country. Whatever they learn, and

1017
00:44:39,080 --> 00:44:41,160
Speaker 1: if they're at Harvard, who knows. By the way, many

1018
00:44:41,200 --> 00:44:43,960
Speaker 1: of these cases they're stealing you know, research from the

1019
00:44:44,080 --> 00:44:46,040
Speaker 1: United States and bringing back to communists China.

1020
00:44:46,160 --> 00:44:50,399
Speaker 3: Yeah, it's ridiculous that's happening. It's being taken from American kids. Yeah.

1021
00:44:50,400 --> 00:44:52,400
Speaker 16: I hope that these students realize when all these spaces

1022
00:44:52,440 --> 00:44:54,200
Speaker 16: open up in colleges and they get to the schools

1023
00:44:54,239 --> 00:44:56,320
Speaker 16: they want to go to, they actually go for degrees

1024
00:44:56,360 --> 00:44:58,600
Speaker 16: that matter as well, you know, yeah, well.

1025
00:45:00,160 --> 00:45:00,480
Speaker 3: And stuff.

1026
00:45:00,480 --> 00:45:03,080
Speaker 16: But instead they're getting you know, Starbucks Bristoll degrees and

1027
00:45:03,080 --> 00:45:04,520
Speaker 16: that's not going to help. So we definitely need to

1028
00:45:04,560 --> 00:45:04,799
Speaker 16: see a.

1029
00:45:05,160 --> 00:45:06,040
Speaker 3: Switch there as well.

1030
00:45:06,719 --> 00:45:08,400
Speaker 1: No, No, that's a huge part of it, and you

1031
00:45:08,440 --> 00:45:10,880
Speaker 1: will because you talk about feminism all as well, and

1032
00:45:10,920 --> 00:45:14,080
Speaker 1: that's something that I think that is indelibly tied right there.

1033
00:45:14,160 --> 00:45:16,480
Speaker 3: Yeah, let's kick women out of school. No, I'm just kidding.

1034
00:45:16,480 --> 00:45:20,439
Speaker 3: Oh yeah, No, I definitely that. There was a meme.

1035
00:45:20,520 --> 00:45:22,640
Speaker 1: There was a meme going around about that. That's too

1036
00:45:22,680 --> 00:45:24,560
Speaker 1: long ago since we were talking memes where they said,

1037
00:45:24,600 --> 00:45:27,280
Speaker 1: like they said that women used to go to school

1038
00:45:27,280 --> 00:45:30,360
Speaker 1: to meet a husband's right and so, and they said, maybe.

1039
00:45:30,200 --> 00:45:33,239
Speaker 3: If there's a way we could design colleges b yu.

1040
00:45:33,600 --> 00:45:36,360
Speaker 1: Yeah, like if you you can go, but you just

1041
00:45:36,360 --> 00:45:38,200
Speaker 1: stay away from like the classic No.

1042
00:45:38,400 --> 00:45:40,839
Speaker 3: But they go for sobrities and a drinking.

1043
00:45:40,600 --> 00:45:42,839
Speaker 16: Life and to become you know a word I want

1044
00:45:42,840 --> 00:45:44,799
Speaker 16: to say, I'm here. So that's why, that's why they

1045
00:45:44,880 --> 00:45:47,000
Speaker 16: go to college. Were raising tens of thousands of dollars

1046
00:45:47,000 --> 00:45:47,520
Speaker 16: and then there.

1047
00:45:47,400 --> 00:45:49,920
Speaker 1: We need to we need to end the degenerously and

1048
00:45:50,320 --> 00:45:51,760
Speaker 1: return to tradition.

1049
00:45:51,920 --> 00:45:52,200
Speaker 13: Agreed.

1050
00:45:52,320 --> 00:45:54,160
Speaker 3: Yeah, live you across where for people going to follow.

1051
00:45:53,960 --> 00:45:56,960
Speaker 16: You Olivia Potek on x TikTok and Instagram.

1052
00:45:57,200 --> 00:45:59,880
Speaker 1: All right, got us, Thank you, Thank you, Jack Pasoba

1053
00:46:00,080 --> 00:46:04,279
Speaker 1: Student Action Summit, Incredible weekend, incredible connections with.

1054
00:46:04,320 --> 00:46:06,799
Speaker 3: Incredible patriots, ladies and gentlemen. As always, you have my

1055
00:46:06,840 --> 00:46:08,040
Speaker 3: permission to lay ashore