1
00:00:00,080 --> 00:00:03,320
Speaker 1: Welcome to today's edition of the Clay Travis and Buck

2
00:00:03,360 --> 00:00:07,480
Speaker 1: Sexton Show podcast. Welcome back in our number two Clay

3
00:00:07,560 --> 00:00:11,600
Speaker 1: Travis Buck Sexton Show. Encourage all of you to go

4
00:00:11,880 --> 00:00:15,520
Speaker 1: subscribe to the podcast, make sure you don't miss a moment.

5
00:00:15,960 --> 00:00:18,040
Speaker 1: You can search out my name Clay Travis, you can

6
00:00:18,079 --> 00:00:20,239
Speaker 1: search out Buck Sexton. You will be well on the

7
00:00:20,280 --> 00:00:23,760
Speaker 1: way throughout the holiday season to making sure you can

8
00:00:23,800 --> 00:00:27,680
Speaker 1: take us wherever you are headed. Lots of drives, lots

9
00:00:27,680 --> 00:00:30,920
Speaker 1: of plain flights. Many of you traveling all over the

10
00:00:30,920 --> 00:00:35,080
Speaker 1: country to be with your friends, your family, your significant others,

11
00:00:35,120 --> 00:00:36,800
Speaker 1: and we want to make sure that you can hang

12
00:00:36,800 --> 00:00:38,400
Speaker 1: out with us. You can also go to Clay and

13
00:00:38,440 --> 00:00:42,080
Speaker 1: Buck dot com watch videos, check out keep up with

14
00:00:42,159 --> 00:00:45,640
Speaker 1: everything that is going on in the world of the show.

15
00:00:45,760 --> 00:00:47,560
Speaker 1: All you have to do is go to Clay and

16
00:00:47,800 --> 00:00:50,720
Speaker 1: Buck dot com and you will be good to go there.

17
00:00:51,360 --> 00:00:54,160
Speaker 1: A couple of things that are out there as we

18
00:00:54,360 --> 00:00:57,720
Speaker 1: roll through this hour that I want to discuss. One

19
00:00:58,120 --> 00:01:04,520
Speaker 1: is the amount of massive power that TikTok is taking

20
00:01:04,640 --> 00:01:08,840
Speaker 1: over in your kids daily routines and how that is

21
00:01:08,880 --> 00:01:12,360
Speaker 1: impacting so much going forward that I think many parents,

22
00:01:12,440 --> 00:01:16,800
Speaker 1: grandparents are not aware of The other part here that

23
00:01:16,880 --> 00:01:20,839
Speaker 1: I think is worth discussing. Polling keeps coming out, Buck,

24
00:01:20,959 --> 00:01:22,640
Speaker 1: Donald Trump has said he's going to make a major

25
00:01:22,640 --> 00:01:28,120
Speaker 1: announcement tomorrow, but polling keeps coming out showing that Ronda

26
00:01:28,200 --> 00:01:32,399
Speaker 1: Santis is in the lead in many different states. Now,

27
00:01:32,480 --> 00:01:35,480
Speaker 1: Ronda Santis has not announced yet that he is running

28
00:01:35,720 --> 00:01:40,080
Speaker 1: for office. But yesterday we were talking about the press

29
00:01:40,080 --> 00:01:43,759
Speaker 1: availability he had to impanel a grand jury to investigate

30
00:01:43,800 --> 00:01:46,720
Speaker 1: the COVID shot, and one of our callers, Buck pointed

31
00:01:46,760 --> 00:01:51,280
Speaker 1: out that there was potentially a political calculus there as well,

32
00:01:51,360 --> 00:01:55,400
Speaker 1: because Trump had been a very zealous advocate of the

33
00:01:55,480 --> 00:01:59,840
Speaker 1: COVID shot and that much of the Republican base is

34
00:02:00,080 --> 00:02:03,520
Speaker 1: not much of a zealous advocate of the COVID shot

35
00:02:03,520 --> 00:02:06,160
Speaker 1: at all. And so I was looking poles in North

36
00:02:06,240 --> 00:02:11,200
Speaker 1: Carolina polls in Tennessee national poll from the Wall Street

37
00:02:11,280 --> 00:02:15,600
Speaker 1: Journal showing that Rohn de Santis has opened up a

38
00:02:15,639 --> 00:02:20,959
Speaker 1: substantial lead over Donald Trump. Now, and Coulter was on

39
00:02:21,080 --> 00:02:24,560
Speaker 1: with us last week, Buck, and she upset Tumulter was

40
00:02:24,560 --> 00:02:26,920
Speaker 1: on last week. Do you remember that one? I don't know,

41
00:02:27,040 --> 00:02:32,160
Speaker 1: Clay and upset some people with her conversation and her

42
00:02:32,160 --> 00:02:35,919
Speaker 1: attack on Trump. Now. Yesterday Stephen Miller made the case

43
00:02:35,960 --> 00:02:39,359
Speaker 1: Trump is still the best advocate, that he's the most prepared,

44
00:02:39,440 --> 00:02:42,519
Speaker 1: that he's the best and most ready for this job.

45
00:02:43,520 --> 00:02:46,680
Speaker 1: But it's becoming increasingly clear to me, and I'm curious

46
00:02:46,720 --> 00:02:50,160
Speaker 1: if you agree with this as well, Buck, that much

47
00:02:50,200 --> 00:02:55,079
Speaker 1: of twenty twenty three four Republicans, for all of us

48
00:02:55,160 --> 00:02:59,280
Speaker 1: out there, is going to be about De Santis v. Trump. Now,

49
00:02:59,760 --> 00:03:02,359
Speaker 1: to be fair, there are other candidates that I think

50
00:03:02,360 --> 00:03:08,160
Speaker 1: are gonna run, Mike Pence, Mike Pompeo, Nicky Hailey many differently,

51
00:03:08,200 --> 00:03:10,640
Speaker 1: and young Kinmay and some of these people when they

52
00:03:10,680 --> 00:03:12,480
Speaker 1: get on the stage and we get into the debate

53
00:03:12,560 --> 00:03:17,919
Speaker 1: season and everything else, may well have an incredible appeal

54
00:03:18,080 --> 00:03:21,920
Speaker 1: that frankly, they're not getting credit for right now. But

55
00:03:22,040 --> 00:03:25,519
Speaker 1: this De Santis Trump battle, this idea that we got

56
00:03:25,560 --> 00:03:29,160
Speaker 1: two heavyweight fighters, so to speak, standing in the ring,

57
00:03:29,320 --> 00:03:32,280
Speaker 1: throwing punches at each other, even if it's not officially

58
00:03:32,360 --> 00:03:35,760
Speaker 1: officially a race yet, what do you think do you

59
00:03:35,800 --> 00:03:39,000
Speaker 1: think the Trump camp Buck should be nervous based on

60
00:03:39,040 --> 00:03:42,040
Speaker 1: some of these early polls, or do you think the

61
00:03:42,160 --> 00:03:45,760
Speaker 1: Santis is the flavor of the week, the exciting and

62
00:03:45,800 --> 00:03:50,000
Speaker 1: again he has not yet announced the exciting new candidate,

63
00:03:50,480 --> 00:03:52,760
Speaker 1: and so he isn't sullied as much. And let me

64
00:03:52,760 --> 00:03:54,560
Speaker 1: give you some data. This is from the Wall Street

65
00:03:54,640 --> 00:04:00,000
Speaker 1: Journal new poll that just came out. Ronda Santis has

66
00:04:00,040 --> 00:04:06,680
Speaker 1: as a plus four net positive rating, Joe Biden nets eleven,

67
00:04:07,320 --> 00:04:11,400
Speaker 1: Donald Trump net minus twenty three. And when they are

68
00:04:11,440 --> 00:04:16,279
Speaker 1: compared very favorable or not, De Santis thirty two percent

69
00:04:16,480 --> 00:04:21,800
Speaker 1: very favorable, Biden twenty percent, Trump eighteen percent, now fifty

70
00:04:21,839 --> 00:04:25,159
Speaker 1: two thirty eight. De Santis is up. So do you

71
00:04:25,240 --> 00:04:27,599
Speaker 1: buy this as real or is it a mirage? That's

72
00:04:27,600 --> 00:04:30,839
Speaker 1: the question. It's just so early. I think that's the

73
00:04:30,920 --> 00:04:34,520
Speaker 1: first thing that you have to put this into into

74
00:04:34,520 --> 00:04:37,839
Speaker 1: a context of it's very early on in this process

75
00:04:38,040 --> 00:04:40,520
Speaker 1: of figuring out who the GOP nomina should be. We

76
00:04:40,600 --> 00:04:42,560
Speaker 1: only have one person, Donald Trump, who has come out

77
00:04:42,560 --> 00:04:46,480
Speaker 1: and said that he will be he should be the nominee. Obviously,

78
00:04:47,000 --> 00:04:49,680
Speaker 1: I am certain there will be others. As you point out,

79
00:04:50,480 --> 00:04:52,960
Speaker 1: Ron De Santis has not announced yet, and I'm not

80
00:04:53,040 --> 00:04:55,600
Speaker 1: one hundred percent convinced he will announce. I also am

81
00:04:55,600 --> 00:04:59,280
Speaker 1: somebody who says nobody can predict the future. He's doing

82
00:04:59,320 --> 00:05:03,280
Speaker 1: a great job Florida and Floridians. One thing that's funny,

83
00:05:03,800 --> 00:05:05,600
Speaker 1: as you know, I spend I'm spending most of the

84
00:05:05,640 --> 00:05:09,839
Speaker 1: winter here in Miami and uh for obvious reasons, you know,

85
00:05:09,960 --> 00:05:12,680
Speaker 1: through a cold up in New York right now. But

86
00:05:13,480 --> 00:05:15,200
Speaker 1: one of the things you hear from Floridians is they

87
00:05:15,200 --> 00:05:18,200
Speaker 1: don't want to give up the best governor in the country,

88
00:05:18,320 --> 00:05:20,560
Speaker 1: even for the presidency, or I should say, to run

89
00:05:20,600 --> 00:05:23,200
Speaker 1: for the presidency. So I don't know how much there

90
00:05:23,200 --> 00:05:24,680
Speaker 1: may be a little tongue in cheek on that one,

91
00:05:24,720 --> 00:05:28,159
Speaker 1: but I think they're they're partly serious about it at least,

92
00:05:28,160 --> 00:05:30,760
Speaker 1: and some of them are probably very serious. Um. And

93
00:05:30,800 --> 00:05:35,240
Speaker 1: then there's also who is the opponent, because that matters

94
00:05:35,279 --> 00:05:38,880
Speaker 1: so much as we see. Uh, well, that's just a

95
00:05:38,960 --> 00:05:42,600
Speaker 1: basic truth of politics. There was some report today. Did

96
00:05:42,600 --> 00:05:44,400
Speaker 1: you see this? I can't, I can't remember. It's from

97
00:05:44,440 --> 00:05:46,920
Speaker 1: one of the you know, one of the big lib

98
00:05:47,720 --> 00:05:50,839
Speaker 1: masked you know, on the mass TAD or top of

99
00:05:50,880 --> 00:05:55,600
Speaker 1: the MSM MASSTAD kind of media organizations, uh, saying that

100
00:05:55,640 --> 00:05:59,120
Speaker 1: you know, Kama is actually a pretty formidable political candidate,

101
00:05:59,160 --> 00:06:02,120
Speaker 1: which I thought was in interesting. They're starting to starting

102
00:06:02,200 --> 00:06:04,520
Speaker 1: to test the waters here a little bit, and I

103
00:06:04,560 --> 00:06:08,520
Speaker 1: think if you apply the Fetterman effect, as in the

104
00:06:08,560 --> 00:06:12,719
Speaker 1: apparatus can elect whomever it wants whenever it wants, just

105
00:06:12,839 --> 00:06:15,760
Speaker 1: based on their ability to churn out votes and control

106
00:06:15,839 --> 00:06:20,080
Speaker 1: the propaganda. You know, is it Biden or is it

107
00:06:20,200 --> 00:06:22,560
Speaker 1: somebody else that the candidate is running against. I think

108
00:06:22,640 --> 00:06:25,080
Speaker 1: that's that's a part of it. I do think it's

109
00:06:25,360 --> 00:06:28,680
Speaker 1: very hard for people, a lot of people right now

110
00:06:28,720 --> 00:06:33,080
Speaker 1: to think, let's have a redo of twenty twenty in

111
00:06:33,200 --> 00:06:36,360
Speaker 1: exact redo, but let's say Kamala steps in. How does

112
00:06:36,440 --> 00:06:39,080
Speaker 1: Kamala stack up against Trump? How would she step it?

113
00:06:39,120 --> 00:06:41,760
Speaker 1: How would she stack up against a Santis or some

114
00:06:41,839 --> 00:06:45,120
Speaker 1: other GOP candidate. So I'm I'm not trying to be

115
00:06:45,160 --> 00:06:47,880
Speaker 1: wishy washy. I understand this all sounds a little wishy

116
00:06:47,920 --> 00:06:52,040
Speaker 1: washy nuance, which just sounds like a fancy French word

117
00:06:52,040 --> 00:06:56,000
Speaker 1: for wishywashy. I think is somewhat required here in we

118
00:06:56,160 --> 00:07:00,400
Speaker 1: don't really know what the contest is on the other side,

119
00:07:00,720 --> 00:07:04,120
Speaker 1: so it's hard to assess, even on our side, what

120
00:07:04,279 --> 00:07:05,840
Speaker 1: the best way is for it to go. Plus, when

121
00:07:05,880 --> 00:07:08,279
Speaker 1: you had the time into that, there's some there's some

122
00:07:08,360 --> 00:07:11,520
Speaker 1: challenges here with them, and look, who's gonna work for Trump.

123
00:07:11,880 --> 00:07:14,200
Speaker 1: You know, I wanted to push Stephen Miller on this

124
00:07:14,320 --> 00:07:17,360
Speaker 1: yesterday because for all the Trump supporters out there, and

125
00:07:17,760 --> 00:07:20,640
Speaker 1: I'm I'm very honest about this. Not only did I

126
00:07:20,720 --> 00:07:24,320
Speaker 1: vote for Trump twice and went to the mat for

127
00:07:24,440 --> 00:07:26,960
Speaker 1: him in every way that I could in both those elections,

128
00:07:27,720 --> 00:07:29,680
Speaker 1: but I like the guy like you know, you and

129
00:07:29,720 --> 00:07:31,520
Speaker 1: I both been a lot of time. I like I

130
00:07:31,640 --> 00:07:34,280
Speaker 1: like Trump a lot. And I actually knew the Trump

131
00:07:34,320 --> 00:07:37,240
Speaker 1: family a little bit. Not not overstating and not super well,

132
00:07:37,240 --> 00:07:38,840
Speaker 1: but I knew the Trump family a little bit growing

133
00:07:38,920 --> 00:07:40,760
Speaker 1: up in New York and I liked all of them.

134
00:07:40,760 --> 00:07:43,000
Speaker 1: Then I was friendly with the Ivanka growing up in

135
00:07:43,000 --> 00:07:46,160
Speaker 1: New York City, and so I'm very pro Trump in

136
00:07:46,160 --> 00:07:47,920
Speaker 1: a lot of way. This is my way of saying, though,

137
00:07:47,920 --> 00:07:50,680
Speaker 1: if we're gonna look at some of the major challenges,

138
00:07:51,040 --> 00:07:55,960
Speaker 1: who will go work for a Trump administration that matters

139
00:07:56,040 --> 00:07:58,440
Speaker 1: Personneli's policy. You know, I just met with a with

140
00:07:58,480 --> 00:08:01,280
Speaker 1: a great American CEOs week for dinner. You know what

141
00:08:01,280 --> 00:08:02,960
Speaker 1: he said to me, He said, my company is really

142
00:08:03,000 --> 00:08:05,840
Speaker 1: just people. It's all people pursuing the same goals, the

143
00:08:05,880 --> 00:08:09,000
Speaker 1: same you. Clay built a very successful media company that

144
00:08:09,040 --> 00:08:11,920
Speaker 1: now is owned by Fox, which is, you know, is fantastic.

145
00:08:12,920 --> 00:08:15,440
Speaker 1: You understand that the people you hire to work for

146
00:08:15,480 --> 00:08:19,040
Speaker 1: you are you are your company. Stephen Miller, tell if

147
00:08:19,200 --> 00:08:20,600
Speaker 1: he comes out and he says, you know what I mean,

148
00:08:20,760 --> 00:08:22,560
Speaker 1: I think I'll beat White House chief of staff. I

149
00:08:22,640 --> 00:08:26,200
Speaker 1: feel better about a Trump administration. Yeah. If Scaramucci all

150
00:08:26,200 --> 00:08:28,720
Speaker 1: of a sudden emerges again, it says, you know, I've

151
00:08:28,720 --> 00:08:31,360
Speaker 1: decided I like Trump again. Make me white House chief

152
00:08:31,360 --> 00:08:34,880
Speaker 1: of staff, I get really worried. So we don't even

153
00:08:34,880 --> 00:08:38,559
Speaker 1: know who the personnel pieces would be in this process.

154
00:08:38,640 --> 00:08:41,360
Speaker 1: So I just there's a lot that were so early,

155
00:08:41,600 --> 00:08:43,680
Speaker 1: and I really believe that we're so early to know

156
00:08:44,120 --> 00:08:47,680
Speaker 1: because yeah, of course, the twenty twenty two election didn't

157
00:08:47,679 --> 00:08:49,800
Speaker 1: look good. Didn't look good for Trump. I know people

158
00:08:49,800 --> 00:08:51,280
Speaker 1: don't like to hear that, but it's the truth. It

159
00:08:51,320 --> 00:08:53,559
Speaker 1: did not look good for where he is right now,

160
00:08:53,559 --> 00:08:55,800
Speaker 1: and the polls are reflecting that. But I know a

161
00:08:55,840 --> 00:08:58,920
Speaker 1: lot of Trump supporters that will say that'll change. What

162
00:08:58,920 --> 00:09:02,240
Speaker 1: did things look like in twenty in twenty fifteen, it'll change.

163
00:09:02,320 --> 00:09:06,920
Speaker 1: So I'm aware of both sides. So the numbers out

164
00:09:07,000 --> 00:09:10,240
Speaker 1: here are breaking. I'll give you one that everybody can

165
00:09:10,240 --> 00:09:13,960
Speaker 1: agree on. My home state of Tennessee, Buck Joe Biden

166
00:09:14,040 --> 00:09:17,600
Speaker 1: has a twenty two percent approval rating. That's the lowest

167
00:09:17,640 --> 00:09:20,320
Speaker 1: that I can ever remember any president having in my

168
00:09:20,440 --> 00:09:22,880
Speaker 1: home state of Tennessee. And I do think it's important

169
00:09:22,920 --> 00:09:24,720
Speaker 1: for this reason because I know there's a lot of

170
00:09:24,720 --> 00:09:28,839
Speaker 1: people in Texas. You mentioned that you're in Florida, in Tennessee,

171
00:09:29,240 --> 00:09:32,640
Speaker 1: places that have seen a lot of new arrivals. And

172
00:09:32,760 --> 00:09:35,120
Speaker 1: the biggest concern that I can say is someone who

173
00:09:35,160 --> 00:09:37,679
Speaker 1: is in Native Tennessee in is a lot of people

174
00:09:37,679 --> 00:09:41,679
Speaker 1: in my states say, man, I hope these new arrivals

175
00:09:41,720 --> 00:09:44,040
Speaker 1: aren't going to bring their politics with them. And I

176
00:09:44,040 --> 00:09:45,760
Speaker 1: know there are a lot of Texans with me right

177
00:09:45,800 --> 00:09:48,720
Speaker 1: now nodding along. And really there's lots of red states

178
00:09:48,720 --> 00:09:51,240
Speaker 1: in general that are seeing in influx Florida as well.

179
00:09:51,720 --> 00:09:54,040
Speaker 1: I think these people are coming for the politics, not

180
00:09:54,160 --> 00:09:56,560
Speaker 1: in spite of it, and I think that's significant. The

181
00:09:56,679 --> 00:09:58,480
Speaker 1: reason why I bring it up is many of these

182
00:09:58,520 --> 00:10:02,240
Speaker 1: states where De Santis is urging are It's not a

183
00:10:02,240 --> 00:10:04,599
Speaker 1: surprise De Santis is surging in Florida. We saw the

184
00:10:04,720 --> 00:10:06,719
Speaker 1: nineteen point win. I mean, this is the sense is

185
00:10:06,760 --> 00:10:08,800
Speaker 1: I'm in De santis Land, right now it is his

186
00:10:08,920 --> 00:10:11,040
Speaker 1: state and everyone else is living in it. That's right.

187
00:10:11,400 --> 00:10:14,280
Speaker 1: But in my state of Tennessee, which was among the

188
00:10:14,360 --> 00:10:18,559
Speaker 1: strongest states to support Trump in the nation, DeSantis has

189
00:10:18,600 --> 00:10:23,679
Speaker 1: opened up a thirteen point lead and a substantial majority

190
00:10:23,679 --> 00:10:27,360
Speaker 1: of people just don't want Biden and Trump to run.

191
00:10:27,400 --> 00:10:29,160
Speaker 1: And I want to raise this is a question for you.

192
00:10:29,360 --> 00:10:32,920
Speaker 1: Well know, I have a question for you. Hit your first, Okay,

193
00:10:32,960 --> 00:10:36,839
Speaker 1: you go ahead. Eighty year old Biden. How much is

194
00:10:36,880 --> 00:10:39,920
Speaker 1: he hurting seventy six year old Trump. Not because of

195
00:10:39,920 --> 00:10:42,720
Speaker 1: his policies, which I think helped Trump, but how many

196
00:10:42,800 --> 00:10:46,280
Speaker 1: people out there are just looking at how incompetent Biden

197
00:10:46,440 --> 00:10:50,640
Speaker 1: is at eighty and saying I don't want old people

198
00:10:50,800 --> 00:10:53,920
Speaker 1: running for president right now, because this is what I've

199
00:10:53,960 --> 00:10:57,280
Speaker 1: been saying to people all along the part of Biden

200
00:10:57,400 --> 00:11:02,120
Speaker 1: that remember, I'm not talking about the pronoun announcing triple

201
00:11:02,200 --> 00:11:07,920
Speaker 1: masking live in the cities along the coasts, MSNBC watching LID.

202
00:11:08,160 --> 00:11:10,840
Speaker 1: They're lost to us. They live in an alternate universe

203
00:11:10,840 --> 00:11:14,080
Speaker 1: like we can't. But we're talking about the persuadable voter.

204
00:11:14,480 --> 00:11:17,840
Speaker 1: We're talking about some of those, uh you know, those

205
00:11:18,160 --> 00:11:21,719
Speaker 1: hard working minority voters in Key swing states who may

206
00:11:21,760 --> 00:11:24,960
Speaker 1: be willing to come vote Republican, white working class voters,

207
00:11:25,160 --> 00:11:28,120
Speaker 1: white college educated voters who sometimes go GOP. You know,

208
00:11:28,160 --> 00:11:30,199
Speaker 1: the persuadables, right, the people that are in the middle.

209
00:11:31,200 --> 00:11:36,040
Speaker 1: When when you say Donald Trump is running, it neutralizes

210
00:11:36,080 --> 00:11:39,440
Speaker 1: the Joe Biden is too old to be president argument.

211
00:11:39,480 --> 00:11:41,520
Speaker 1: It really does. And I know people say, and I

212
00:11:41,559 --> 00:11:45,839
Speaker 1: made this argument too, Trump has more energy, Trump is multurventry,

213
00:11:46,120 --> 00:11:50,280
Speaker 1: which is all true, but still seventy six is really

214
00:11:50,440 --> 00:11:53,000
Speaker 1: is really old too. I mean, that's that's we're just

215
00:11:53,200 --> 00:11:55,880
Speaker 1: for being president. I'm not. You know, they're eighty year

216
00:11:55,920 --> 00:11:57,680
Speaker 1: olds who could beat me in arm wrestling listening to this.

217
00:11:57,760 --> 00:12:00,480
Speaker 1: I know that, but I'm just saying it's a deep resident.

218
00:12:00,960 --> 00:12:04,880
Speaker 1: Trump is also too old. So the persuadable voter who

219
00:12:04,960 --> 00:12:08,040
Speaker 1: might say this Joe Biden thing is just ridiculous, is

220
00:12:08,040 --> 00:12:10,680
Speaker 1: gonna say, well, if it's seventy six or eighty, I

221
00:12:10,720 --> 00:12:12,880
Speaker 1: guess it's kind of a let's look at the other

222
00:12:12,920 --> 00:12:15,880
Speaker 1: issues involved. What I was going to ask you, have

223
00:12:15,960 --> 00:12:18,200
Speaker 1: you seen this truth social post that's up right now

224
00:12:18,679 --> 00:12:22,360
Speaker 1: from the trump Ster? No, I have not. America needs

225
00:12:22,440 --> 00:12:27,560
Speaker 1: a superhero. I will be making a major announcement tomorrow.

226
00:12:28,360 --> 00:12:31,160
Speaker 1: Thank you from Donald Trump. This is just the last hour.

227
00:12:31,320 --> 00:12:33,600
Speaker 1: Just put this out from his official account. Read it again,

228
00:12:33,760 --> 00:12:38,280
Speaker 1: Read again, Because I mean he leads a superhero. I

229
00:12:38,320 --> 00:12:44,160
Speaker 1: will be making a major announcement tomorrow. Now I've got

230
00:12:44,200 --> 00:12:51,120
Speaker 1: an idea. Trump says he's returning to Twitter. What do

231
00:12:51,120 --> 00:12:55,280
Speaker 1: you think? That's pretty good? That's pretty good. Mine was

232
00:12:55,320 --> 00:13:00,640
Speaker 1: actually even more when I say when I here, American

233
00:13:00,679 --> 00:13:03,360
Speaker 1: needs a superhero. I'll be making a major announcement tomorrow.

234
00:13:03,640 --> 00:13:05,640
Speaker 1: A part of me wonders, is he going to announce

235
00:13:05,720 --> 00:13:09,520
Speaker 1: his vice presidential running mate? But he believes that would

236
00:13:09,559 --> 00:13:12,360
Speaker 1: make sense, so that's certainly play to give himself some

237
00:13:12,480 --> 00:13:15,200
Speaker 1: new I mean, I know it's early, so early, though,

238
00:13:15,240 --> 00:13:17,040
Speaker 1: I mean, what is he going to start announcing his

239
00:13:17,120 --> 00:13:20,600
Speaker 1: commerce secretary pick? When we get to your point on

240
00:13:21,559 --> 00:13:24,199
Speaker 1: what is a way that Trump could appeal to and

241
00:13:24,880 --> 00:13:29,080
Speaker 1: dominate attention, it is to potentially start rolling out his

242
00:13:29,120 --> 00:13:32,840
Speaker 1: whole cabinet and say this is a shadow competition. We're

243
00:13:32,880 --> 00:13:34,840
Speaker 1: in mindmeld right now. Because I was gonna say as

244
00:13:34,880 --> 00:13:36,760
Speaker 1: soon as I said the thing with the Commerce secretary,

245
00:13:36,800 --> 00:13:39,600
Speaker 1: it connected to what I'd said before, which is if

246
00:13:39,640 --> 00:13:42,920
Speaker 1: Trump luke what Trump did on judges. I think this

247
00:13:43,000 --> 00:13:44,959
Speaker 1: is very instructive. You know, there are a lot of

248
00:13:44,960 --> 00:13:48,360
Speaker 1: people who are a little shaky on Trump early on.

249
00:13:48,400 --> 00:13:51,000
Speaker 1: I'm talking now twenty fifteen, twenty sixteen. I remember that,

250
00:13:51,080 --> 00:13:54,720
Speaker 1: you remember that. But Trump said, basically, the Federalist Society

251
00:13:54,800 --> 00:13:56,719
Speaker 1: is going to be picking the judges. I'm gonna get

252
00:13:57,000 --> 00:13:59,360
Speaker 1: this list. It was. I got a list of people,

253
00:13:59,679 --> 00:14:03,440
Speaker 1: and Trump on judges. No matter how annoyed people are

254
00:14:03,520 --> 00:14:06,600
Speaker 1: Trump about other things, you're there whatever. Trump on judges

255
00:14:06,960 --> 00:14:10,840
Speaker 1: A plus, A plus across the board did a phenomenal

256
00:14:10,920 --> 00:14:13,920
Speaker 1: job with judges, and as a result, is probably the

257
00:14:13,960 --> 00:14:17,640
Speaker 1: most consequential pro life president in well, certainly in the

258
00:14:17,640 --> 00:14:21,320
Speaker 1: post Roe v. Wade history of this country. Okay, if

259
00:14:21,360 --> 00:14:26,240
Speaker 1: Trump comes forward with really serious people that have already

260
00:14:26,280 --> 00:14:29,000
Speaker 1: agreed that they will take key roles in a future administration,

261
00:14:29,760 --> 00:14:32,920
Speaker 1: not putting you know, not Amarosa a secretary of state

262
00:14:33,520 --> 00:14:37,080
Speaker 1: or you know, Scaramucci as chief of staff, serious people,

263
00:14:37,960 --> 00:14:39,640
Speaker 1: I think that would do. I think that would do

264
00:14:39,680 --> 00:14:41,640
Speaker 1: a lot for him right now. I do think that

265
00:14:41,640 --> 00:14:43,920
Speaker 1: would help a lot. And people that we could all agree,

266
00:14:44,000 --> 00:14:47,120
Speaker 1: you know, I meant Stephen Miller, White House chief of staff.

267
00:14:47,160 --> 00:14:49,600
Speaker 1: He's a very smart, very squared away guy. That makes

268
00:14:49,600 --> 00:14:51,560
Speaker 1: a lot of sense to me. That, just as one example,

269
00:14:52,920 --> 00:14:56,160
Speaker 1: I'm intrigued. I also want to ask you this when

270
00:14:56,240 --> 00:15:00,600
Speaker 1: we come back, how does Democrat calculus change buck if

271
00:15:00,640 --> 00:15:03,080
Speaker 1: Trump weren't going to be the nominee because we kind

272
00:15:03,080 --> 00:15:06,040
Speaker 1: of hinted at it. I don't think that there's any

273
00:15:06,040 --> 00:15:08,880
Speaker 1: way Joe Biden they want to put up against a

274
00:15:08,960 --> 00:15:12,840
Speaker 1: forty three year old Rhonda Santis. I mean, that is

275
00:15:12,880 --> 00:15:16,280
Speaker 1: a disaster that they're walking into. So I've made the

276
00:15:16,320 --> 00:15:18,280
Speaker 1: analogy before, and I want everybody to think about it

277
00:15:18,320 --> 00:15:21,840
Speaker 1: that Trump and Biden are like heavyweight fighters holding each

278
00:15:21,840 --> 00:15:23,400
Speaker 1: other up in the center of the ring who've been

279
00:15:23,400 --> 00:15:27,240
Speaker 1: throwing punches for eleven rounds. I think they're both reliant

280
00:15:27,280 --> 00:15:29,480
Speaker 1: on each other because that's who they want to fight.

281
00:15:29,720 --> 00:15:32,600
Speaker 1: But what does the rest of the country think. I

282
00:15:32,600 --> 00:15:34,280
Speaker 1: want to tell you about a new way that gun

283
00:15:34,280 --> 00:15:37,880
Speaker 1: owners are training that's one hundred percent safe, so much fun,

284
00:15:37,920 --> 00:15:40,200
Speaker 1: and you don't have to spend any money on Ammo

285
00:15:40,360 --> 00:15:43,600
Speaker 1: the Mantis X system. You attach it to your firearm

286
00:15:43,640 --> 00:15:45,280
Speaker 1: like a weapon light and use it to train with

287
00:15:45,640 --> 00:15:48,840
Speaker 1: instead of going to the shooting range. Guarantee you If

288
00:15:48,840 --> 00:15:50,320
Speaker 1: you're a gun owner like I am, and you want

289
00:15:50,320 --> 00:15:53,440
Speaker 1: to improve your shot, the mantis X will be really helpful.

290
00:15:53,680 --> 00:15:56,560
Speaker 1: Case in point, ninety four percent of all shooters using

291
00:15:56,560 --> 00:15:59,240
Speaker 1: the mantis X improve their shot in a half hour's time.

292
00:15:59,520 --> 00:16:02,160
Speaker 1: Imagine how good you might become with regular practice at

293
00:16:02,200 --> 00:16:04,800
Speaker 1: home with the help of mantis X. Gun owners and

294
00:16:04,960 --> 00:16:07,640
Speaker 1: trainers describe the mantis X as a firearms training system

295
00:16:07,840 --> 00:16:10,280
Speaker 1: that is no AMMO, all electronic, and it's a way

296
00:16:10,280 --> 00:16:13,480
Speaker 1: to improve your shooting accuracy from the couch, the desk,

297
00:16:13,480 --> 00:16:15,520
Speaker 1: wherever you want at home, or even out at the

298
00:16:15,600 --> 00:16:18,920
Speaker 1: range before you start throwing rounds down range. It's so

299
00:16:19,000 --> 00:16:21,680
Speaker 1: much more efficient and so much less expensive than using

300
00:16:21,840 --> 00:16:24,960
Speaker 1: live fire AMMO. The mantis X system gives you data driven,

301
00:16:25,000 --> 00:16:27,520
Speaker 1: real time feedback on your technique and guides you through

302
00:16:27,600 --> 00:16:30,720
Speaker 1: drills and courses, follow directions and your instincts. You'll have

303
00:16:30,760 --> 00:16:32,480
Speaker 1: fun with this and you're just gonna have a better

304
00:16:32,520 --> 00:16:34,720
Speaker 1: time at the range because man, your trigger poll it's

305
00:16:34,760 --> 00:16:38,480
Speaker 1: gonna be on point. Start improving your shooting accuracy today.

306
00:16:38,520 --> 00:16:41,800
Speaker 1: Get yours at mantis x dot com. That's m a

307
00:16:42,000 --> 00:16:46,960
Speaker 1: n tis x dot com. From the front lines of truth,

308
00:16:47,320 --> 00:16:52,800
Speaker 1: Clay Travis and Buck Sexton. Welcome back to Clay Travis

309
00:16:52,800 --> 00:16:58,640
Speaker 1: and Buck Sexton Show. We know that FTX, the crypto platform,

310
00:16:58,680 --> 00:17:03,280
Speaker 1: has apps into bankruptcy. This thing is a total mess.

311
00:17:03,960 --> 00:17:08,920
Speaker 1: We also know that Sam Bankman Freed is somebody who

312
00:17:09,000 --> 00:17:14,000
Speaker 1: was using effective altruism is the term that was being

313
00:17:14,080 --> 00:17:18,320
Speaker 1: bandied about, writing checks to the right kind of people,

314
00:17:18,400 --> 00:17:21,720
Speaker 1: doing the right kind of things, defeating global climate change

315
00:17:21,720 --> 00:17:25,119
Speaker 1: for one. Things like that how much money was actually

316
00:17:25,160 --> 00:17:28,200
Speaker 1: out there? You may have seen there was. There were

317
00:17:28,240 --> 00:17:32,000
Speaker 1: seventy million dollars given of what are now being described

318
00:17:32,240 --> 00:17:38,320
Speaker 1: illegal campaign contributions. It seems that Bankman Freed was hiding

319
00:17:39,080 --> 00:17:42,000
Speaker 1: the source of a lot of these donations to different

320
00:17:42,000 --> 00:17:45,880
Speaker 1: political candidates. But I actually think it's even worse than that.

321
00:17:46,960 --> 00:17:49,879
Speaker 1: I think the more we get into what happened here,

322
00:17:50,320 --> 00:17:53,040
Speaker 1: people will see that while follow the money is a

323
00:17:53,160 --> 00:17:56,800
Speaker 1: very important mantra, when it comes to a massive crypto

324
00:17:56,880 --> 00:18:01,440
Speaker 1: exchange operating offshore in the Bahamas, it may not even

325
00:18:01,520 --> 00:18:06,040
Speaker 1: really be possible to follow the money. Here is the CEO,

326
00:18:06,200 --> 00:18:09,320
Speaker 1: John Ray, who's now he's taken over as part of

327
00:18:09,320 --> 00:18:11,679
Speaker 1: the bankruptcy, so he had nothing to do with FTX

328
00:18:11,680 --> 00:18:14,760
Speaker 1: when it was operating. He comes in. You know, he's

329
00:18:14,800 --> 00:18:16,919
Speaker 1: like a like a firefighter who shows up when the

330
00:18:16,960 --> 00:18:19,160
Speaker 1: house is pretty much burned down to say, all right,

331
00:18:19,240 --> 00:18:23,520
Speaker 1: let's let's sift through the wreckage of this. And he's

332
00:18:23,600 --> 00:18:25,760
Speaker 1: been doing this for forty years. This guy has seen

333
00:18:25,800 --> 00:18:28,920
Speaker 1: a lot. Here he is pointing out they were operating

334
00:18:28,920 --> 00:18:32,560
Speaker 1: with billions of dollars of customer money here, and he says,

335
00:18:32,680 --> 00:18:35,640
Speaker 1: play clip two here. There's no record keeping really at all.

336
00:18:35,920 --> 00:18:38,840
Speaker 1: The FTX group is unusual in the sense that, you know,

337
00:18:38,880 --> 00:18:43,399
Speaker 1: I've done probably a dozen large scale bankruptcies over my career,

338
00:18:43,600 --> 00:18:45,960
Speaker 1: in including en Run. Of course, every one of those

339
00:18:46,080 --> 00:18:49,880
Speaker 1: entities had some financial problem or another. They have some

340
00:18:50,000 --> 00:18:52,920
Speaker 1: characteristics that are in common. This one is unusual, and

341
00:18:53,000 --> 00:18:55,800
Speaker 1: it's unusual in the sense that literally, you know, there's

342
00:18:55,840 --> 00:18:59,280
Speaker 1: no record keeping whatsoever. It's the absence of record keeping

343
00:18:59,359 --> 00:19:04,560
Speaker 1: employees to communicate invoicing and expenses on slack, which is,

344
00:19:04,680 --> 00:19:07,800
Speaker 1: you know, essentially, you know, a way of communicating for

345
00:19:08,040 --> 00:19:12,240
Speaker 1: chat rooms, they use QuickBooks. Multi billion dollar company using

346
00:19:12,320 --> 00:19:17,360
Speaker 1: QuickBooks billions of dollars clay of people's money, and they're

347
00:19:17,400 --> 00:19:21,359
Speaker 1: basically texting each other being like, yeah, buy this or

348
00:19:21,400 --> 00:19:24,399
Speaker 1: invest that. Or do this or do that. It's like

349
00:19:24,440 --> 00:19:29,520
Speaker 1: a bunch of college kids decided that they were going, well,

350
00:19:29,560 --> 00:19:31,840
Speaker 1: that is actually what happened. It's not even like this

351
00:19:31,920 --> 00:19:34,600
Speaker 1: is the situation. But I think what'll be fascinating to

352
00:19:34,600 --> 00:19:37,040
Speaker 1: see is it's what you know. Elon must twittered he

353
00:19:37,040 --> 00:19:39,560
Speaker 1: thinks it's more like a billion dollars that they gave

354
00:19:39,600 --> 00:19:42,520
Speaker 1: to different interests and entities, because otherwise, how do you

355
00:19:42,560 --> 00:19:46,480
Speaker 1: get this far down the road without anyone raising a flag.

356
00:19:47,560 --> 00:19:51,080
Speaker 1: I think, first of all, what he's saying here is

357
00:19:51,119 --> 00:19:55,800
Speaker 1: important to recognize. In Enron, there was an attempt to

358
00:19:55,840 --> 00:19:59,919
Speaker 1: cook the books. There was duplicitous accounting. Based on my

359
00:20:00,160 --> 00:20:04,440
Speaker 1: reading and understanding, that was difficult to unravel if you

360
00:20:04,480 --> 00:20:08,720
Speaker 1: are a sophisticated accountant, right you go in and there

361
00:20:08,760 --> 00:20:14,720
Speaker 1: are dummied up invoices, there are fake fake just basically

362
00:20:14,760 --> 00:20:20,720
Speaker 1: fake bookkeeping. Here, this was just simple embezzlement. He was

363
00:20:20,800 --> 00:20:27,879
Speaker 1: just taking money from this FTX exchange and essentially using

364
00:20:27,880 --> 00:20:32,080
Speaker 1: it for his own purposes and also to make trades

365
00:20:32,240 --> 00:20:36,000
Speaker 1: on the Alameda side. There's basically two companies that were

366
00:20:36,040 --> 00:20:40,160
Speaker 1: involved here. And then when he suddenly had a run

367
00:20:40,359 --> 00:20:43,920
Speaker 1: on Alameda and they said, hey, we need to make

368
00:20:43,920 --> 00:20:46,840
Speaker 1: sure that you have the assets to justify what you

369
00:20:46,920 --> 00:20:50,040
Speaker 1: have been borrowing. Then he tried to go take more

370
00:20:50,080 --> 00:20:53,320
Speaker 1: money out of the FTX accounts, but then everybody started

371
00:20:53,320 --> 00:20:55,760
Speaker 1: to say, wait a minute. FTX is in trouble, and

372
00:20:55,800 --> 00:20:58,639
Speaker 1: there was a bank run and he was left without

373
00:20:58,640 --> 00:21:02,840
Speaker 1: the assets on either side of the equation. Now we

374
00:21:02,880 --> 00:21:06,320
Speaker 1: had yesterday, and I thought he was great, Andy McCarthy,

375
00:21:06,680 --> 00:21:10,320
Speaker 1: and he pointed out the conspiracy charges here, Buck, which

376
00:21:10,520 --> 00:21:14,119
Speaker 1: is I haven't heard hardly anybody discussing this. Andy McCarthy

377
00:21:14,160 --> 00:21:17,439
Speaker 1: is rightly pointing out that in order to have a

378
00:21:17,480 --> 00:21:20,400
Speaker 1: conspiracy you have to have multiple people involved. So far

379
00:21:20,680 --> 00:21:24,240
Speaker 1: there's no other charges that have been brought. This suggests

380
00:21:24,680 --> 00:21:28,119
Speaker 1: that the Southern District of New York has been able

381
00:21:28,200 --> 00:21:32,520
Speaker 1: to get many of potentially Sam Bankman Freed's co workers

382
00:21:32,640 --> 00:21:34,960
Speaker 1: or co founders or however you want to classify them,

383
00:21:35,040 --> 00:21:40,399
Speaker 1: executives in the custody Felly polyamorous vegan nerds. They turned

384
00:21:40,560 --> 00:21:43,080
Speaker 1: on him, And I just want to point this out

385
00:21:43,119 --> 00:21:47,760
Speaker 1: to Buck. It took one month for eight felony charges

386
00:21:47,800 --> 00:21:50,360
Speaker 1: to be brought against Sam Bankman Freed, which is very

387
00:21:50,400 --> 00:21:55,040
Speaker 1: fast in the financial world. The FBI has had Hunter

388
00:21:55,080 --> 00:22:01,080
Speaker 1: Biden's laptop since December of twenty nineteen and they've done nothing.

389
00:22:01,960 --> 00:22:04,800
Speaker 1: So I just want to point that out there. Three

390
00:22:04,960 --> 00:22:08,600
Speaker 1: years the FBI has been in possession of Hunter Biden's

391
00:22:08,680 --> 00:22:12,040
Speaker 1: laptop and they haven't managed to do anything with it.

392
00:22:12,040 --> 00:22:15,320
Speaker 1: It took them one month to charge Sam Bakman Freed

393
00:22:15,680 --> 00:22:19,679
Speaker 1: with massive fraud, which usually I was reading this morning.

394
00:22:19,840 --> 00:22:23,399
Speaker 1: Usually it takes a long time months to put together

395
00:22:23,560 --> 00:22:26,240
Speaker 1: charges like these, and they took it to a grand jury,

396
00:22:26,480 --> 00:22:29,480
Speaker 1: so they've been ready since Friday of last week, effectively

397
00:22:29,880 --> 00:22:32,440
Speaker 1: to lay the lumber on Sam Bank. It may be

398
00:22:32,440 --> 00:22:36,159
Speaker 1: because this is so obvious and that it is a

399
00:22:36,240 --> 00:22:41,120
Speaker 1: case of embezzlement and effectively this is a multi billion

400
00:22:41,200 --> 00:22:46,880
Speaker 1: dollars Ponzi scheme via crypto is what he was operating here.

401
00:22:47,320 --> 00:22:51,160
Speaker 1: And this is again CEO John Ray, guy who tried

402
00:22:51,160 --> 00:22:55,480
Speaker 1: to pull the pieces together after Enron completely collapse, saying, yeah,

403
00:22:55,480 --> 00:22:58,280
Speaker 1: this is just you know, old school embezzelman play four.

404
00:22:58,760 --> 00:23:01,840
Speaker 1: This is really old fashion children and embezzlement. This is

405
00:23:01,880 --> 00:23:06,320
Speaker 1: just taking money from customers and using it for your

406
00:23:06,320 --> 00:23:11,520
Speaker 1: own purpose. Not sophisticated at all, sophisticated perhaps in the

407
00:23:11,560 --> 00:23:19,560
Speaker 1: way they were able to sort of hide it from people, frankly,

408
00:23:19,760 --> 00:23:22,520
Speaker 1: right in front of their eyes. But this isn't this

409
00:23:22,600 --> 00:23:27,359
Speaker 1: isn't you know, sophisticated whatsoever. This is just plain old embezzlement.

410
00:23:28,240 --> 00:23:30,880
Speaker 1: I mean for him to say that Sam Bankman Freed

411
00:23:31,040 --> 00:23:34,280
Speaker 1: is going away for a long time. What I'm wondering

412
00:23:34,320 --> 00:23:37,639
Speaker 1: about is if maybe you know, this is where you

413
00:23:37,680 --> 00:23:40,639
Speaker 1: get into who's in charge, who runs the d J.

414
00:23:41,680 --> 00:23:44,840
Speaker 1: But I wonder who he was giving money to. I

415
00:23:44,920 --> 00:23:47,159
Speaker 1: want to know everybody that he was giving money to.

416
00:23:47,200 --> 00:23:49,760
Speaker 1: And I'm not talking people keep saying this, oh, we

417
00:23:49,840 --> 00:23:53,520
Speaker 1: already know the fec. No, I'm not just talking about

418
00:23:53,520 --> 00:23:56,720
Speaker 1: the seventy million. Go to NBC News, go to any

419
00:23:56,760 --> 00:23:59,560
Speaker 1: of these There are lots of people with close connections

420
00:23:59,560 --> 00:24:02,360
Speaker 1: to Sam Bankman Freed who were already saying no, No,

421
00:24:02,720 --> 00:24:06,320
Speaker 1: the money that he siphoned two people to just the

422
00:24:06,520 --> 00:24:10,239
Speaker 1: elites is way beyond the seventy million that we know

423
00:24:10,280 --> 00:24:13,200
Speaker 1: about right now. I want to know where that money went.

424
00:24:13,480 --> 00:24:15,600
Speaker 1: And it's a big deal because a lot of that

425
00:24:15,640 --> 00:24:18,560
Speaker 1: money was ill gotten, meaning it was the put it

426
00:24:18,640 --> 00:24:22,360
Speaker 1: was the property of people who had made deposits with FTX.

427
00:24:22,440 --> 00:24:25,760
Speaker 1: I mean, I think effectively, it was pretty much gotten, right.

428
00:24:25,800 --> 00:24:27,520
Speaker 1: I mean maybe he made some money on some of

429
00:24:27,520 --> 00:24:29,840
Speaker 1: these Alima trades. We don't even know, I mean, if

430
00:24:29,840 --> 00:24:33,639
Speaker 1: he was hedging and everything else. But my point on

431
00:24:33,720 --> 00:24:36,480
Speaker 1: that is, let's say he gave a million dollars to

432
00:24:36,520 --> 00:24:39,200
Speaker 1: the Miami Heat for naming rights and I'm just tossing

433
00:24:39,200 --> 00:24:41,640
Speaker 1: that out because it was FTX arena, right, you could

434
00:24:41,640 --> 00:24:43,359
Speaker 1: see right on top of the arena. It was a

435
00:24:43,359 --> 00:24:46,960
Speaker 1: big deal. Well, the Miami Heat took that million dollars. Well,

436
00:24:47,000 --> 00:24:50,240
Speaker 1: actually that wasn't their money to have, because it was

437
00:24:50,280 --> 00:24:54,920
Speaker 1: the million dollars that somebody had deposited in FTX. So

438
00:24:54,960 --> 00:24:56,800
Speaker 1: how do you go back? Because remember what a big

439
00:24:56,800 --> 00:25:00,080
Speaker 1: part of the madeoff process was. They brought in in

440
00:25:00,160 --> 00:25:02,679
Speaker 1: the special Master and I'm using that phrase loosely here,

441
00:25:02,720 --> 00:25:05,800
Speaker 1: but his job was was at Feinberg to go back

442
00:25:05,800 --> 00:25:08,680
Speaker 1: and find all of this money that had been distributed

443
00:25:08,960 --> 00:25:11,440
Speaker 1: that was ill gotten gains in an effort to try

444
00:25:11,480 --> 00:25:14,000
Speaker 1: to make as many of the investors right as possible.

445
00:25:14,960 --> 00:25:17,360
Speaker 1: If I am correct in this, which it seems like

446
00:25:17,440 --> 00:25:21,119
Speaker 1: based on all the evidence, will be true, then every

447
00:25:21,200 --> 00:25:24,720
Speaker 1: dollar that he donated, not just to politicians, buck that's

448
00:25:24,720 --> 00:25:27,400
Speaker 1: a drop in the bucket compared to how much money

449
00:25:27,440 --> 00:25:30,920
Speaker 1: he was giving. All of these charitable institutions which may

450
00:25:30,920 --> 00:25:32,840
Speaker 1: have already spent this money, and all of these for

451
00:25:33,000 --> 00:25:36,840
Speaker 1: profit institutions get that back. There's no way to get

452
00:25:36,880 --> 00:25:40,920
Speaker 1: that back. Tom Brady, Gazelle, Steph Curry, Larry David, all

453
00:25:40,960 --> 00:25:43,439
Speaker 1: these super rich people who got paid by him were

454
00:25:43,520 --> 00:25:46,480
Speaker 1: getting paid based on these deposits. It's not actual money.

455
00:25:46,760 --> 00:25:48,720
Speaker 1: I think it's hundreds of millions of dollars, and there's

456
00:25:48,800 --> 00:25:51,080
Speaker 1: no chance that people are going to get that money

457
00:25:51,080 --> 00:25:52,879
Speaker 1: back if I'm right, because of the way that he

458
00:25:52,920 --> 00:25:55,880
Speaker 1: distributed it. Also, when you're talking about crypto, by its

459
00:25:56,000 --> 00:25:59,600
Speaker 1: very nature, it can be incredibly hard to track source

460
00:25:59,680 --> 00:26:02,280
Speaker 1: of and the fact that they had no record keeping

461
00:26:02,480 --> 00:26:05,040
Speaker 1: and they're operating in crypto means there were probably ways

462
00:26:05,080 --> 00:26:09,080
Speaker 1: that they were able to send along huge amounts of

463
00:26:09,119 --> 00:26:13,040
Speaker 1: cash in effect without people even necessarily being able to

464
00:26:13,080 --> 00:26:16,639
Speaker 1: notice or track it. On the regulatory side. I'm just

465
00:26:17,000 --> 00:26:19,760
Speaker 1: you know, for anybody, this didn't get as much attention

466
00:26:19,760 --> 00:26:21,159
Speaker 1: as as I think it should have. And one of

467
00:26:21,200 --> 00:26:23,640
Speaker 1: the reasons it's because Goldman Sachs was very much involved,

468
00:26:23,680 --> 00:26:25,200
Speaker 1: and there was a lot of a lot of very

469
00:26:25,200 --> 00:26:30,040
Speaker 1: powerful actors. But Joel who was the one MDB fraudster

470
00:26:30,800 --> 00:26:35,280
Speaker 1: of billion dollars whale fames in dollar whale. What was

471
00:26:35,320 --> 00:26:38,320
Speaker 1: that Malaysia? Right, it was at one MDB was a

472
00:26:38,560 --> 00:26:43,720
Speaker 1: Malaysian sovereign wealth fund that he set up. But they

473
00:26:43,880 --> 00:26:47,800
Speaker 1: used that money to fund a production company that actually

474
00:26:47,920 --> 00:26:51,600
Speaker 1: was the production company that made the Leonardo DiCaprio movie

475
00:26:51,600 --> 00:26:53,960
Speaker 1: The Wolf of Wall Street. So don't think for a

476
00:26:54,000 --> 00:26:57,240
Speaker 1: second that these guys when they're running their massive scams

477
00:26:57,240 --> 00:26:59,680
Speaker 1: don't go you know, would be fun film or to

478
00:27:00,000 --> 00:27:02,440
Speaker 1: one hundred million dollar movie and have Leo starrn it.

479
00:27:03,119 --> 00:27:06,080
Speaker 1: That is who actually funded The Wolf of Wall Street,

480
00:27:06,119 --> 00:27:08,560
Speaker 1: which is a movie, as you know, about a guy

481
00:27:08,960 --> 00:27:11,240
Speaker 1: doing pump and dump scams and ripping off main street

482
00:27:11,280 --> 00:27:14,600
Speaker 1: investors in Wall Street. So the world has some weird

483
00:27:14,600 --> 00:27:17,640
Speaker 1: sense of humor and it was profitable, unlike a lot

484
00:27:17,680 --> 00:27:19,600
Speaker 1: of the other things they did. They probably made money

485
00:27:19,680 --> 00:27:22,200
Speaker 1: on that. I would say, Also, we can come back

486
00:27:22,200 --> 00:27:24,560
Speaker 1: and talk a little bit more about this. One reason

487
00:27:24,600 --> 00:27:27,879
Speaker 1: there's no records, buck is because crypto at its core

488
00:27:28,400 --> 00:27:31,440
Speaker 1: is about not letting the government know what you have. Yes,

489
00:27:31,600 --> 00:27:35,240
Speaker 1: anonymity is baked as baked into the whole crypto infrastructure.

490
00:27:35,480 --> 00:27:37,280
Speaker 1: So the fact that I'm sure that's going to be

491
00:27:37,320 --> 00:27:40,159
Speaker 1: part of their defense is the reason why we didn't

492
00:27:40,200 --> 00:27:42,760
Speaker 1: have a lot of books is because the goal of

493
00:27:42,840 --> 00:27:45,959
Speaker 1: crypto is not to be able to track every single

494
00:27:46,000 --> 00:27:48,639
Speaker 1: aspect of crypto. I mean, how do you track a

495
00:27:48,760 --> 00:27:51,320
Speaker 1: made up coin? I mean, these regulators are so far

496
00:27:51,359 --> 00:27:53,080
Speaker 1: and I think that's where a lot of the arrogance

497
00:27:53,160 --> 00:27:56,200
Speaker 1: came from, because they're investing in coins that are total

498
00:27:56,240 --> 00:28:00,199
Speaker 1: digital fabrications that unless you're operating in the crypto world,

499
00:28:00,520 --> 00:28:03,560
Speaker 1: you have no idea what it even is. We think

500
00:28:03,560 --> 00:28:05,840
Speaker 1: the government regulators are going to know how to find

501
00:28:05,880 --> 00:28:08,560
Speaker 1: that stuff. Well, not only that buck even people who

502
00:28:08,600 --> 00:28:12,679
Speaker 1: buy crypto forget their passwords and can't get back in.

503
00:28:12,840 --> 00:28:14,800
Speaker 1: Have you read some of that stuff, like, I mean,

504
00:28:14,920 --> 00:28:16,920
Speaker 1: can you imagine having like a hundred million dollars in

505
00:28:16,960 --> 00:28:19,480
Speaker 1: crypto and not knowing your password? I mean, I can't

506
00:28:19,520 --> 00:28:21,439
Speaker 1: log into my email after three tries and I want

507
00:28:21,440 --> 00:28:23,560
Speaker 1: to throw my laptop through the window. So I cannot

508
00:28:23,560 --> 00:28:26,040
Speaker 1: imagine what that's like. Anyone who has ever dealt with

509
00:28:26,160 --> 00:28:29,920
Speaker 1: password frustrations, imagine if you had one hundred million dollars

510
00:28:29,960 --> 00:28:33,520
Speaker 1: that you couldn't access because you couldn't remember your password.

511
00:28:33,640 --> 00:28:37,160
Speaker 1: That's crypto someplaces. I gotta tell you. Look, we are

512
00:28:37,200 --> 00:28:39,920
Speaker 1: not very far from Christmas, as you well know. In

513
00:28:40,000 --> 00:28:42,720
Speaker 1: the Travis household, we got the Little Advent Calendar, a

514
00:28:42,720 --> 00:28:47,400
Speaker 1: lot of chocolate getting eaten every single day, and I

515
00:28:47,440 --> 00:28:49,480
Speaker 1: believe I am correct that we are now eleven days

516
00:28:49,480 --> 00:28:52,920
Speaker 1: away from Christmas Day itself, which is why if you

517
00:28:52,960 --> 00:28:55,080
Speaker 1: haven't gotten your Christmas shopping done yet, I've got a

518
00:28:55,080 --> 00:28:59,160
Speaker 1: gift for you, Tuttle Twins Books. Today is the last

519
00:28:59,240 --> 00:29:03,480
Speaker 1: day to get these books and guarantee that they will

520
00:29:03,560 --> 00:29:09,000
Speaker 1: arrive in time for Christmas. The very last day. Procrastinators unite.

521
00:29:09,000 --> 00:29:12,320
Speaker 1: These are not just books, great conversation starters, make your

522
00:29:12,400 --> 00:29:16,560
Speaker 1: kids smarter, make your grandkids smarter, nieces, nephews, friends of

523
00:29:16,600 --> 00:29:21,520
Speaker 1: the family, great stories, great pictures, visually attractive to young readers.

524
00:29:21,800 --> 00:29:23,920
Speaker 1: My own eight year old has been reading these. And

525
00:29:24,000 --> 00:29:27,520
Speaker 1: if you want these Tuttle Twin books in time for

526
00:29:27,640 --> 00:29:31,520
Speaker 1: Christmas and to get free shipping, go to Tuttle radio

527
00:29:31,680 --> 00:29:35,840
Speaker 1: dot com right now enter the cupon code Christmas before

528
00:29:35,960 --> 00:29:38,200
Speaker 1: the end of the day. Today, This is it. This

529
00:29:38,280 --> 00:29:41,280
Speaker 1: is the last day, guaranteed that these books will get

530
00:29:41,280 --> 00:29:45,240
Speaker 1: to you free shipping. It's a big deal, great savings.

531
00:29:45,360 --> 00:29:48,959
Speaker 1: Use that code Christmas and go right now to Tuttle

532
00:29:49,080 --> 00:29:54,520
Speaker 1: radio dot com again one more time. Tuttl e Tuttle

533
00:29:54,640 --> 00:29:58,080
Speaker 1: radio dot com. Seek out with the guys on the

534
00:29:58,240 --> 00:30:02,840
Speaker 1: Sunday Hang with Clay podcast. A new episode of Every Sunday.

535
00:30:03,040 --> 00:30:05,440
Speaker 1: Find it on the iHeart Apple or wherever you get

536
00:30:05,480 --> 00:30:08,800
Speaker 1: your podcasts. Third hour of the Clay Travis and Buck

537
00:30:08,800 --> 00:30:12,680
Speaker 1: Sexton Show gets going right now. And we are a

538
00:30:12,800 --> 00:30:20,160
Speaker 1: week away from the expiration of Title forty two, which

539
00:30:20,240 --> 00:30:23,840
Speaker 1: is a big deal because as you know, they've extended

540
00:30:23,880 --> 00:30:30,520
Speaker 1: this and Title forty two is a CDC Pandemic authority

541
00:30:31,520 --> 00:30:36,400
Speaker 1: that allows for the expulsion of certain illegal migrants under

542
00:30:36,480 --> 00:30:43,560
Speaker 1: certain circumstances, even after they cross into America. And it

543
00:30:43,600 --> 00:30:49,200
Speaker 1: has not been obviously super effective, because there have been millions.

544
00:30:49,960 --> 00:30:53,560
Speaker 1: It's remind ourselves of this, over five million illegals crossing

545
00:30:53,600 --> 00:30:57,200
Speaker 1: into America while Joe Biden is president. But it has

546
00:30:57,240 --> 00:31:01,280
Speaker 1: been a tool that has at least prevented some single

547
00:31:01,320 --> 00:31:04,479
Speaker 1: adult males from being able to come into the country.

548
00:31:04,520 --> 00:31:09,320
Speaker 1: If you're a unaccompanied miner, if you are a family member,

549
00:31:09,320 --> 00:31:11,720
Speaker 1: I'll never forget. When I was at the US border

550
00:31:11,800 --> 00:31:14,600
Speaker 1: crossing a San Diego, they told me that they had

551
00:31:14,680 --> 00:31:16,920
Speaker 1: had I think it was a thirty two year old

552
00:31:17,000 --> 00:31:19,440
Speaker 1: claiming to be a seventeen year old to get get

553
00:31:19,440 --> 00:31:24,880
Speaker 1: through under the unaccompanied Miner loophole. So just people are

554
00:31:25,000 --> 00:31:28,120
Speaker 1: gaming the system left and right. Yeah, thirty two said

555
00:31:28,120 --> 00:31:30,480
Speaker 1: he was seventeen. They didn't buy that one, by the way,

556
00:31:30,520 --> 00:31:32,920
Speaker 1: they thought. I don't think so, but maybe he was

557
00:31:35,000 --> 00:31:37,880
Speaker 1: just should have said he was trans age. Democrats would

558
00:31:37,920 --> 00:31:39,800
Speaker 1: have had to be all in on it, still waiting

559
00:31:39,800 --> 00:31:42,000
Speaker 1: for someone to explain why trans age isn't a thing,

560
00:31:42,000 --> 00:31:45,960
Speaker 1: if transgender is a thing. But I gotta tell you,

561
00:31:46,480 --> 00:31:48,800
Speaker 1: the border situation is something we have to look at

562
00:31:48,960 --> 00:31:54,080
Speaker 1: much more closely because Democrats are beginning to seize a

563
00:31:54,240 --> 00:31:59,800
Speaker 1: narrative on this one. Gavin Newsom, Yes he's slippery and od,

564
00:32:00,880 --> 00:32:04,360
Speaker 1: but he is also formidable in his own way. This

565
00:32:04,400 --> 00:32:09,640
Speaker 1: guy escaped a recall election and actually increased his support

566
00:32:09,720 --> 00:32:13,320
Speaker 1: from election in the recall. Clearly he should have lost

567
00:32:13,360 --> 00:32:16,320
Speaker 1: his job. He did not. Is an amazing In California,

568
00:32:16,360 --> 00:32:18,640
Speaker 1: they keep having these governors that are disastrous, and then

569
00:32:18,680 --> 00:32:22,240
Speaker 1: they keep electing disastrous governors with the same basic policies

570
00:32:22,280 --> 00:32:26,600
Speaker 1: to replace them. Maybe don't have Democrats ruin your state anymore, California.

571
00:32:26,680 --> 00:32:29,760
Speaker 1: That would just be one idea. But here is Newsom

572
00:32:29,800 --> 00:32:32,560
Speaker 1: talking about how, oh man, it's going to be really

573
00:32:32,600 --> 00:32:34,880
Speaker 1: difficult when we get to a post forty two world.

574
00:32:35,120 --> 00:32:38,280
Speaker 1: Play twelve. The fact is what we've got right now

575
00:32:38,360 --> 00:32:41,040
Speaker 1: is not working and is about to break in a

576
00:32:41,120 --> 00:32:44,680
Speaker 1: post forty two world unless we take some rest responsibility

577
00:32:44,680 --> 00:32:47,760
Speaker 1: and ownership. And I'm saying that as a Democrat. I'm

578
00:32:47,800 --> 00:32:49,719
Speaker 1: not saying that the point fingers. I'm saying that as

579
00:32:49,720 --> 00:32:53,400
Speaker 1: a bother. I'm saying that as someone that feels responsible

580
00:32:53,600 --> 00:32:55,600
Speaker 1: for being part of the solution. And I'm trying to

581
00:32:55,640 --> 00:32:58,200
Speaker 1: do my best here. So I want everyone to understand

582
00:32:58,240 --> 00:33:00,960
Speaker 1: this right up front. Right now. We talk about the

583
00:33:01,000 --> 00:33:05,280
Speaker 1: border a lot, and we're trying because it matters a lot.

584
00:33:05,320 --> 00:33:07,240
Speaker 1: And when once you start to see the calculations, the

585
00:33:07,320 --> 00:33:10,120
Speaker 1: media won't do this what it means to the taxpay

586
00:33:10,240 --> 00:33:13,920
Speaker 1: or what it means to public resources, to public schools,

587
00:33:13,920 --> 00:33:18,040
Speaker 1: to hospitals, to just have and it's always specific to

588
00:33:18,080 --> 00:33:20,560
Speaker 1: certain communities. One of the challenges when you elevate this

589
00:33:20,600 --> 00:33:23,280
Speaker 1: to the national level, they say it doesn't affect wages. Really,

590
00:33:23,640 --> 00:33:27,040
Speaker 1: look at some of the border communities that have been

591
00:33:27,560 --> 00:33:30,120
Speaker 1: I think it's professor Borjas at Harvard who's done the

592
00:33:30,120 --> 00:33:34,680
Speaker 1: most specific analysis of this. You look like it at

593
00:33:34,680 --> 00:33:37,240
Speaker 1: certain communities when they have a huge influx of illegal migrants.

594
00:33:37,360 --> 00:33:43,000
Speaker 1: Guess what happens. Wages go down, people and public services

595
00:33:43,040 --> 00:33:46,760
Speaker 1: to teriorate. But if that's happening in El Paso, sure,

596
00:33:46,840 --> 00:33:49,840
Speaker 1: maybe you don't feel it in San Francisco. So you

597
00:33:49,960 --> 00:33:52,760
Speaker 1: have to look at the problem with some specificity. My

598
00:33:52,840 --> 00:33:55,280
Speaker 1: point here, Clay, is merely they're saying, oh, yeah, the

599
00:33:55,320 --> 00:33:57,560
Speaker 1: border is a problem. It's a problem, all right, we

600
00:33:57,760 --> 00:34:02,600
Speaker 1: fix it through and that's what they're going to say.

601
00:34:03,360 --> 00:34:05,440
Speaker 1: And I gotta tell you right now, one voice that

602
00:34:05,480 --> 00:34:08,400
Speaker 1: Trump provided that we don't really have right now is

603
00:34:08,400 --> 00:34:11,719
Speaker 1: shutting down all the illegal crossings and deporting people who

604
00:34:11,760 --> 00:34:13,879
Speaker 1: are not supposed to be in this country anymore, who

605
00:34:13,920 --> 00:34:18,399
Speaker 1: fall into the fall into specific categories. We're not hearing

606
00:34:18,440 --> 00:34:21,880
Speaker 1: that from the GOP. I don't even know if anyone

607
00:34:21,920 --> 00:34:23,959
Speaker 1: knows where the GOP stands right now on this issue.

608
00:34:24,040 --> 00:34:27,960
Speaker 1: It's a concern. Gavin Knewsom the trip to the border

609
00:34:28,280 --> 00:34:32,080
Speaker 1: to embarrass Joe Biden. He went to the White House,

610
00:34:32,239 --> 00:34:36,000
Speaker 1: and I'm never going to forget it when Joe Biden

611
00:34:36,160 --> 00:34:40,480
Speaker 1: wasn't there and walked around with his sleeves rolled up. Now,

612
00:34:40,520 --> 00:34:43,080
Speaker 1: he made a big show of saying, Hey, I'm not

613
00:34:43,120 --> 00:34:47,160
Speaker 1: gonna run if you run in twenty four. But if

614
00:34:47,360 --> 00:34:51,600
Speaker 1: Joe Biden were not running, I think Gavin Knewsom would

615
00:34:51,680 --> 00:34:54,360
Speaker 1: end up finding a way to be the nominee in

616
00:34:54,440 --> 00:34:57,160
Speaker 1: twenty twenty four for the Democrats. And I think he

617
00:34:57,160 --> 00:35:01,720
Speaker 1: would be formidable because he's smart, He's an incredible liar.

618
00:35:02,480 --> 00:35:05,680
Speaker 1: He presents well, meaning that when he stands in front

619
00:35:05,680 --> 00:35:09,239
Speaker 1: of the camera and answers questions, he handles the cosmetic

620
00:35:09,280 --> 00:35:13,400
Speaker 1: aspects of the presidency far better than most Democrat candidates

621
00:35:13,440 --> 00:35:16,960
Speaker 1: would be. Reportedly, he and Kamala Harris don't get along

622
00:35:17,120 --> 00:35:20,160
Speaker 1: very well. Now I don't know why that is, but

623
00:35:20,520 --> 00:35:23,120
Speaker 1: that would mean that he's not likely to bend the

624
00:35:23,200 --> 00:35:26,720
Speaker 1: knee to Kamala and he would be capable of somehow

625
00:35:26,760 --> 00:35:30,640
Speaker 1: threading the needle of how it's not racist and sexist

626
00:35:30,760 --> 00:35:33,560
Speaker 1: for him as a white man to be leading the

627
00:35:33,600 --> 00:35:36,640
Speaker 1: Democrat Party. And if you question that, keep in mind

628
00:35:36,719 --> 00:35:40,719
Speaker 1: Joe Biden is the oldest whitest guy possible, and he

629
00:35:40,840 --> 00:35:43,960
Speaker 1: ended up the nominee in twenty twenty and so I

630
00:35:44,000 --> 00:35:46,200
Speaker 1: don't think this is coincidental that he made his trip

631
00:35:46,239 --> 00:35:47,880
Speaker 1: down to the border. I agree with you, Buck that

632
00:35:47,960 --> 00:35:51,040
Speaker 1: they think the solution is amnesty. Of course it's not

633
00:35:51,120 --> 00:35:55,399
Speaker 1: the solution. And the fact that Joe Biden won't go

634
00:35:55,520 --> 00:35:59,839
Speaker 1: to the border. When does the title forty two end

635
00:36:00,360 --> 00:36:03,600
Speaker 1: next week's week? Right? Ye? So if it officially ends,

636
00:36:04,880 --> 00:36:07,520
Speaker 1: it's going to be right around Christmas, which is a gift,

637
00:36:07,719 --> 00:36:10,319
Speaker 1: frankly to the Biden administration because a lot of people

638
00:36:10,400 --> 00:36:14,200
Speaker 1: won't be paying attention. But post Christmas and post New Years,

639
00:36:14,440 --> 00:36:17,160
Speaker 1: the border is going to be such a disaster that

640
00:36:17,239 --> 00:36:19,920
Speaker 1: it will be virtually impossible for it not to be

641
00:36:19,960 --> 00:36:23,920
Speaker 1: the number one story in America. There is a deep

642
00:36:24,719 --> 00:36:28,880
Speaker 1: incoherence when you start to ask people who want to

643
00:36:28,880 --> 00:36:31,640
Speaker 1: feel good about themselves on the issue of illegal immigration,

644
00:36:32,840 --> 00:36:35,520
Speaker 1: but you ask them some very basic questions. And this

645
00:36:35,640 --> 00:36:38,280
Speaker 1: is Democrats and they're even Republicans a fall of this category.

646
00:36:38,719 --> 00:36:42,440
Speaker 1: You start to ask this, well, if there's no downside,

647
00:36:43,040 --> 00:36:46,760
Speaker 1: why not just let everyone come whenever they want? Because

648
00:36:46,760 --> 00:36:49,160
Speaker 1: they'll tell you there's no downside. Him. The argument gets

649
00:36:49,280 --> 00:36:51,560
Speaker 1: very interesting. You'll say, you know, if I point out,

650
00:36:51,560 --> 00:36:55,279
Speaker 1: I say, well, it's lawless, lack of sovereignty. You know,

651
00:36:55,520 --> 00:36:59,640
Speaker 1: respect for our laws is important. It's a drain on resources,

652
00:37:00,000 --> 00:37:03,320
Speaker 1: overwhelms our ability as a nation to assimilate people properly,

653
00:37:03,320 --> 00:37:04,719
Speaker 1: which is one of the things that America has been

654
00:37:04,719 --> 00:37:08,040
Speaker 1: amazing at, you know, for a very long time. It

655
00:37:08,120 --> 00:37:13,120
Speaker 1: overwhelms the assimilation processes. It creates fractures in our society

656
00:37:13,200 --> 00:37:15,160
Speaker 1: because people feel like there are different sets of laws

657
00:37:15,160 --> 00:37:17,640
Speaker 1: for different people. You go through these, they'll reject all

658
00:37:17,680 --> 00:37:19,480
Speaker 1: of that. They'll say, oh, a lot of that's true.

659
00:37:19,800 --> 00:37:22,719
Speaker 1: We're a nation of immigrants. They work harder than Americans.

660
00:37:22,719 --> 00:37:26,040
Speaker 1: They're there, I'm talking illegal immigrants. Now, they work harder

661
00:37:26,040 --> 00:37:28,799
Speaker 1: than Americans, they're more law abiding the Americans. I mean,

662
00:37:29,160 --> 00:37:30,839
Speaker 1: either one of those things you can argue or even

663
00:37:30,880 --> 00:37:33,839
Speaker 1: just say is flatly untrue. But then who doesn't get

664
00:37:33,840 --> 00:37:37,279
Speaker 1: to stay? Why not let every if there's no downside,

665
00:37:37,320 --> 00:37:40,480
Speaker 1: which is what effectively the Democrat argument is, why not

666
00:37:40,560 --> 00:37:44,000
Speaker 1: just have open borders. They won't say they want open borders,

667
00:37:44,360 --> 00:37:46,960
Speaker 1: but they want the reality of open borders, meaning they

668
00:37:47,000 --> 00:37:50,760
Speaker 1: can't sell it politically. But they want the de facto

669
00:37:51,120 --> 00:37:53,600
Speaker 1: reality to be what it is right now, which is

670
00:37:53,880 --> 00:37:57,520
Speaker 1: effectively anyone can get into the country and you know,

671
00:37:57,880 --> 00:38:01,319
Speaker 1: just alone on the overwhelm border. What's going on with

672
00:38:01,440 --> 00:38:05,280
Speaker 1: ventinyl and with methamphetamine. We have the worst fentinyl problem

673
00:38:05,320 --> 00:38:07,239
Speaker 1: and the worst meth problem in the history of the

674
00:38:07,239 --> 00:38:10,600
Speaker 1: country right now, Clay. These drugs are more potent, more powerful,

675
00:38:10,680 --> 00:38:14,480
Speaker 1: more destructive than anything we have ever faced. It is

676
00:38:14,520 --> 00:38:19,200
Speaker 1: all coming across the US Mexico border, and people don't

677
00:38:19,360 --> 00:38:22,960
Speaker 1: you're so you're you're losing one hundred thousand plus Americans

678
00:38:22,960 --> 00:38:25,600
Speaker 1: a year because we have lawlessness at the border. So

679
00:38:25,680 --> 00:38:28,440
Speaker 1: the argument should be either we secure the border or

680
00:38:28,480 --> 00:38:31,400
Speaker 1: we just say, you know, screw it. Open borders what

681
00:38:31,440 --> 00:38:34,279
Speaker 1: we want, which is basically what the Democrats have done.

682
00:38:34,480 --> 00:38:36,919
Speaker 1: But what we have right now is just untenable. Which

683
00:38:36,960 --> 00:38:40,480
Speaker 1: is the pretense that both sides want an orderly secure border.

684
00:38:40,520 --> 00:38:42,600
Speaker 1: No they don't. The Democrats want an open border, and

685
00:38:42,680 --> 00:38:45,600
Speaker 1: the cartel controls the southern border, which ties in with

686
00:38:45,600 --> 00:38:48,600
Speaker 1: why so much ventinol is coming across and also the

687
00:38:48,640 --> 00:38:53,399
Speaker 1: business opportunity that they have created for themselves. So this

688
00:38:53,520 --> 00:38:57,200
Speaker 1: to me is going to be did you see the

689
00:38:57,239 --> 00:39:01,040
Speaker 1: cop that just I mean, fortunately she's okay. She odeed,

690
00:39:01,120 --> 00:39:04,920
Speaker 1: they believe because fentonel powder from a bust blew in

691
00:39:05,000 --> 00:39:07,360
Speaker 1: her face from the wind. Did you see did you

692
00:39:07,400 --> 00:39:09,720
Speaker 1: see the Yeah, I saw that story. I also saw

693
00:39:09,840 --> 00:39:13,640
Speaker 1: the story of the young child in a San Francisco park.

694
00:39:14,320 --> 00:39:17,960
Speaker 1: I think that's still considered to be true because sometimes

695
00:39:17,960 --> 00:39:19,920
Speaker 1: these stories go viral. And then the follow up it

696
00:39:20,360 --> 00:39:22,160
Speaker 1: was like a ten month old who was playing in

697
00:39:22,200 --> 00:39:26,080
Speaker 1: the park and he picked up a fentonyl lace they think,

698
00:39:26,080 --> 00:39:32,040
Speaker 1: piece of paper and odd basically, and and his nanny

699
00:39:32,520 --> 00:39:35,560
Speaker 1: was there and helped to ensure that he was safe.

700
00:39:35,600 --> 00:39:38,160
Speaker 1: That it gives you a sense for how dangerous because

701
00:39:38,160 --> 00:39:40,600
Speaker 1: buck I talked to my kids. Now. It used to

702
00:39:40,680 --> 00:39:43,560
Speaker 1: be you would say, don't do drugs. You know, you

703
00:39:43,600 --> 00:39:46,120
Speaker 1: shouldn't do it. You can get addicted to them. Now

704
00:39:46,160 --> 00:39:48,640
Speaker 1: when you talk to young people, when you're talking to

705
00:39:48,719 --> 00:39:52,200
Speaker 1: your kids or grandkids, you say, don't do drugs. They

706
00:39:52,239 --> 00:39:55,040
Speaker 1: can kill you the first time that you use them,

707
00:39:55,160 --> 00:39:57,959
Speaker 1: which is different than in the eighties and nineties. Large

708
00:39:58,440 --> 00:40:00,800
Speaker 1: for all the parents out there listening, this is that

709
00:40:00,960 --> 00:40:04,959
Speaker 1: I spoke to the top guy in the DJ under

710
00:40:05,000 --> 00:40:07,759
Speaker 1: Trump working on the issue of fentyl about this, and

711
00:40:07,800 --> 00:40:10,960
Speaker 1: I remember he explained to me in detail the way

712
00:40:10,960 --> 00:40:17,440
Speaker 1: that the cartels make pills that look like pharmaceutical grade pills,

713
00:40:17,480 --> 00:40:20,400
Speaker 1: so people think they're safe. Oh, I'm not taking scary

714
00:40:20,520 --> 00:40:24,960
Speaker 1: fentonyl I'm taking a vicodin. I'm taking something that at

715
00:40:25,000 --> 00:40:27,600
Speaker 1: least has quality control. We know what's in it, so

716
00:40:27,880 --> 00:40:30,319
Speaker 1: you know, You're seventeen year old. Can be at a

717
00:40:30,360 --> 00:40:33,920
Speaker 1: party and someone goes, oh, here, take this. Don't worry.

718
00:40:34,000 --> 00:40:37,000
Speaker 1: It's a prescription drug. But if they bought it illegally,

719
00:40:37,120 --> 00:40:39,440
Speaker 1: guess what it could be fentyl and they could die.

720
00:40:39,560 --> 00:40:41,960
Speaker 1: This happens. This is not just theoretical. This happens. They

721
00:40:42,000 --> 00:40:45,160
Speaker 1: could die the first time they take the drug, not

722
00:40:45,239 --> 00:40:48,200
Speaker 1: even knowing what they're taking in the first place. And

723
00:40:48,520 --> 00:40:53,000
Speaker 1: Clay this problem. It's when you start to look at

724
00:40:53,040 --> 00:40:55,360
Speaker 1: the numbers and the impact that it's having on society

725
00:40:55,480 --> 00:40:58,920
Speaker 1: right now, and you look at methamphetamine, for example, and

726
00:40:58,960 --> 00:41:02,160
Speaker 1: the role thatt meth amphetaman has in a lot of

727
00:41:02,200 --> 00:41:06,640
Speaker 1: the extreme schizophrenia mental health issues breakdowns that are going on.

728
00:41:06,800 --> 00:41:08,840
Speaker 1: You see these crazy people walking around the streets, and

729
00:41:08,880 --> 00:41:11,280
Speaker 1: I mean truly crazy, not not in their right mind

730
00:41:11,719 --> 00:41:16,080
Speaker 1: who are homeless and vagrants. They're drug addicts overwhelmingly, and

731
00:41:16,120 --> 00:41:18,680
Speaker 1: they're addicted to fentanel, they're addicted to meth, they're addicted

732
00:41:18,680 --> 00:41:22,040
Speaker 1: to a few other drugs. Sometimes depends on the individual.

733
00:41:22,680 --> 00:41:24,719
Speaker 1: But look at the focus that the White House is

734
00:41:24,760 --> 00:41:27,319
Speaker 1: putting on tackling that problem, which is killing over one

735
00:41:27,400 --> 00:41:30,200
Speaker 1: hundred thousand people a year and destroying cities from the

736
00:41:30,200 --> 00:41:34,680
Speaker 1: inside out, versus the focus they put on transgender story

737
00:41:34,760 --> 00:41:38,480
Speaker 1: hour and top surgery for teenagers as a function of

738
00:41:38,520 --> 00:41:42,239
Speaker 1: White House policy. Not only that, the people who are

739
00:41:42,320 --> 00:41:47,279
Speaker 1: dying of fentanol overdoses are overwhelmingly young. So when you

740
00:41:47,360 --> 00:41:51,319
Speaker 1: talk about years of life lost, we're talking about people

741
00:41:51,320 --> 00:41:55,040
Speaker 1: in their twenties who suddenly are dying because of this

742
00:41:55,120 --> 00:41:58,879
Speaker 1: drug use. And I just want to reiterate again because

743
00:41:58,920 --> 00:42:00,960
Speaker 1: we built on it, and you said it like, hey,

744
00:42:01,160 --> 00:42:03,880
Speaker 1: you think this drug is safe and it's a party drug.

745
00:42:04,239 --> 00:42:05,960
Speaker 1: There was a to give them credit. I think it

746
00:42:05,960 --> 00:42:08,359
Speaker 1: was The New York Times had a story about three

747
00:42:08,440 --> 00:42:12,399
Speaker 1: different people who thought they were buying cocaine and took

748
00:42:12,400 --> 00:42:16,000
Speaker 1: it home and used it and it was fentonol laced

749
00:42:16,120 --> 00:42:19,439
Speaker 1: drug and it killed all three of them and they

750
00:42:19,520 --> 00:42:22,319
Speaker 1: never even knew you shouldn't use drugs at all. Right,

751
00:42:22,320 --> 00:42:24,960
Speaker 1: It's an easy thing to tell your kids, but a

752
00:42:24,960 --> 00:42:27,439
Speaker 1: lot of kids say, well, I'll use this because it's

753
00:42:27,440 --> 00:42:31,200
Speaker 1: not dangerous. No. No, people are thinking that they are

754
00:42:31,320 --> 00:42:35,319
Speaker 1: using drugs which are not deadly, and they're consenting to

755
00:42:35,360 --> 00:42:37,600
Speaker 1: those usage, and then the next thing you know, they're

756
00:42:37,600 --> 00:42:40,080
Speaker 1: dead because they're not using the drug that they thought

757
00:42:40,080 --> 00:42:42,600
Speaker 1: they were. It's such an important part here of the

758
00:42:42,640 --> 00:42:46,560
Speaker 1: conversations that there should be to have. There should be

759
00:42:46,600 --> 00:42:50,239
Speaker 1: a bipartisan sense of we have to do everything we

760
00:42:50,320 --> 00:42:52,879
Speaker 1: can to fix this problem as a country right now.

761
00:42:53,360 --> 00:42:56,400
Speaker 1: But it ties directly into the border, and the Democrats

762
00:42:56,600 --> 00:42:58,640
Speaker 1: don't want to admit that and they don't want to

763
00:42:58,680 --> 00:43:01,240
Speaker 1: deal with it, and so people are going to keep dying.

764
00:43:02,160 --> 00:43:05,440
Speaker 1: That's what's happening. And as we mentioned yesterday, Buck, there's

765
00:43:05,440 --> 00:43:08,600
Speaker 1: like one media guy that actually is covering the border

766
00:43:08,640 --> 00:43:11,799
Speaker 1: in Bill Belusian, Right, I mean almost no one. Yeah,

767
00:43:11,840 --> 00:43:13,359
Speaker 1: I think about how crazy it is. There's no who

768
00:43:13,360 --> 00:43:18,319
Speaker 1: can you point to from the Washington Post, New York Times, ABC, NBCCBSCNN, MSNBC.

769
00:43:18,560 --> 00:43:21,160
Speaker 1: They don't have anybody there. There's nobody covering this on

770
00:43:21,160 --> 00:43:23,040
Speaker 1: a daily basis. And it's amazing too. They used to

771
00:43:23,080 --> 00:43:25,320
Speaker 1: always say the way they would shut down any criticism

772
00:43:25,360 --> 00:43:27,480
Speaker 1: of illegal immigration, they say, why are you why are

773
00:43:27,480 --> 00:43:29,759
Speaker 1: you so racist? And they particularly would single out why

774
00:43:29,760 --> 00:43:33,399
Speaker 1: are you so racist, you know, against the Mexican people

775
00:43:33,400 --> 00:43:35,359
Speaker 1: who want to come here to hard working There are

776
00:43:35,360 --> 00:43:37,759
Speaker 1: one hundred and sixty countries that have sent people. I mean,

777
00:43:37,760 --> 00:43:41,719
Speaker 1: it's literally the entire planet has realized, Hey, I want

778
00:43:41,760 --> 00:43:43,040
Speaker 1: to get into America. I want to go through. The

779
00:43:43,080 --> 00:43:46,200
Speaker 1: immigration system has anything to do with any individual or

780
00:43:46,239 --> 00:43:49,040
Speaker 1: specific race or nationality or anything else. It is just

781
00:43:49,400 --> 00:43:54,120
Speaker 1: utter chaos and lawlessness, and the bid administration can't he

782
00:43:54,120 --> 00:43:56,279
Speaker 1: can't even go, won't even go to the border, doesn't care.

783
00:43:57,239 --> 00:44:00,400
Speaker 1: I'm the happier things, my friends. The Countdown of Smiths

784
00:44:00,400 --> 00:44:03,520
Speaker 1: and Hanaka is on both of less than two weeks away.

785
00:44:03,840 --> 00:44:06,040
Speaker 1: If you're still contemplating what to get somebody who you

786
00:44:06,040 --> 00:44:09,080
Speaker 1: know has got everything, how about sharing an experience with them,

787
00:44:09,120 --> 00:44:12,160
Speaker 1: something that is meaningful. That's what Legacy Box provides, the

788
00:44:12,200 --> 00:44:16,080
Speaker 1: experience of rediscovering the lost memories locked away on videotapes

789
00:44:16,400 --> 00:44:19,080
Speaker 1: and family movies from back in the day. You can

790
00:44:19,080 --> 00:44:21,880
Speaker 1: place an order right now, get an actual Legacy Box,

791
00:44:21,920 --> 00:44:25,480
Speaker 1: a box made specifically for shipping videotapes, films, and photos

792
00:44:25,840 --> 00:44:29,320
Speaker 1: all meant to be digitally transferred at Legacy Boxes headquarters

793
00:44:29,320 --> 00:44:32,640
Speaker 1: in Tennessee. That box will arrive before Christmas and instantly

794
00:44:32,680 --> 00:44:35,200
Speaker 1: become a project to focus on. So many friends and

795
00:44:35,239 --> 00:44:38,640
Speaker 1: family members who have old video cassettes, photo slides, cassette

796
00:44:38,680 --> 00:44:41,520
Speaker 1: tapes can no longer be access They can't enjoy them anymore.

797
00:44:41,640 --> 00:44:44,359
Speaker 1: I mean, who hasn't working vcror slide projector these days

798
00:44:44,440 --> 00:44:47,759
Speaker 1: or cassette player joined the millions of customers who have

799
00:44:47,920 --> 00:44:50,839
Speaker 1: made this problem go away because they've entrusted Legacy Box

800
00:44:50,880 --> 00:44:53,680
Speaker 1: a safeguard their recorded moments. Clay and I have both

801
00:44:53,760 --> 00:44:56,280
Speaker 1: used Legacy Box to digitally transfer some of our older

802
00:44:56,280 --> 00:44:59,080
Speaker 1: photos and videos. They do amazing work in just a

803
00:44:59,080 --> 00:45:01,640
Speaker 1: couple of weeks times start to finish. This is a

804
00:45:01,719 --> 00:45:04,160
Speaker 1: great gift at this time of the year. Trust us

805
00:45:04,520 --> 00:45:09,040
Speaker 1: visit legacybox dot com slash buck that's legacybox dot com

806
00:45:09,080 --> 00:45:13,920
Speaker 1: slash buc k for a sizeable discount. Legacybox dot com

807
00:45:13,960 --> 00:45:19,239
Speaker 1: slash Buck, Clay Travis and Buck Sexton chuck up a

808
00:45:19,320 --> 00:45:23,239
Speaker 1: win for Team Reality. Sometimes I like to have a

809
00:45:23,280 --> 00:45:28,400
Speaker 1: holiday discussion with family members that focuses on the arts,

810
00:45:28,480 --> 00:45:32,239
Speaker 1: clay that focuses on the creative arts. And we get

811
00:45:32,280 --> 00:45:38,560
Speaker 1: into worst movies ever made, most overrated movies ever made,

812
00:45:38,680 --> 00:45:43,440
Speaker 1: biggest box office bombs ever made. And it's a fun discussion.

813
00:45:43,440 --> 00:45:46,040
Speaker 1: You start throwing in there, movies that you've actually walked

814
00:45:46,080 --> 00:45:48,239
Speaker 1: out on in the theater, meaning you paid. In New York,

815
00:45:48,280 --> 00:45:50,160
Speaker 1: it's like twenty dollars a ticket now, but even when

816
00:45:50,200 --> 00:45:51,560
Speaker 1: I was a kid, it was, you know, ten bucks

817
00:45:51,600 --> 00:45:57,600
Speaker 1: a ticket. Because I see that Avatar, what is this one?

818
00:45:57,400 --> 00:45:59,480
Speaker 1: The Way of Water? I keep wanting to see the

819
00:45:59,480 --> 00:46:01,720
Speaker 1: shape of water, but I think The Shape of Water

820
00:46:02,600 --> 00:46:05,640
Speaker 1: was the Academy Award winner for Best Picture, about a

821
00:46:05,640 --> 00:46:10,040
Speaker 1: woman who has an affair with her aquarium pet. It's

822
00:46:10,200 --> 00:46:15,600
Speaker 1: very strange. Movie is real. Yes, yes there's a sea monster,

823
00:46:16,120 --> 00:46:18,719
Speaker 1: but she loves the sea monster. And then things get

824
00:46:18,719 --> 00:46:21,960
Speaker 1: a little little lady with the sea monster. I want

825
00:46:22,000 --> 00:46:24,440
Speaker 1: to tell you one best picture. I mean, it's bizarre.

826
00:46:24,560 --> 00:46:27,000
Speaker 1: She's like making out with the creature from the Blue

827
00:46:27,040 --> 00:46:33,360
Speaker 1: Lagoon and an actual human doing that. So Avatar, the

828
00:46:33,400 --> 00:46:35,239
Speaker 1: Way of Water, not the shape of water. The Way

829
00:46:35,280 --> 00:46:39,480
Speaker 1: of Water is out right now and I do think

830
00:46:40,040 --> 00:46:44,840
Speaker 1: that at Avatar is the most financially successful movie of

831
00:46:44,920 --> 00:46:50,680
Speaker 1: all pine. Did you know that didn't three billion dollars globally?

832
00:46:50,800 --> 00:46:54,080
Speaker 1: Now there were the ticket prices were particularly high because

833
00:46:54,120 --> 00:46:56,879
Speaker 1: they were up charging for the three D stuff. I

834
00:46:56,960 --> 00:46:59,560
Speaker 1: saw Avatar in the theater with the three D stuff

835
00:46:59,560 --> 00:47:04,000
Speaker 1: in New York. I'm just gonna say it. Avatar is garbage,

836
00:47:04,520 --> 00:47:07,520
Speaker 1: and the fact I think you could trace the decline

837
00:47:07,600 --> 00:47:11,080
Speaker 1: of American cinema to the fact that Avatar made almost

838
00:47:11,120 --> 00:47:17,600
Speaker 1: three billion dollars. The plot is trite, the dialogue is moronic,

839
00:47:17,760 --> 00:47:22,319
Speaker 1: the politics are annoying, and there's just nothing. I don't know.

840
00:47:22,400 --> 00:47:25,480
Speaker 1: I don't know, man, I hate Avatar. I don't want

841
00:47:25,520 --> 00:47:27,399
Speaker 1: to tell you. I'm definitely not gonna see this one,

842
00:47:27,880 --> 00:47:30,680
Speaker 1: but I am trying. I think that no person of

843
00:47:30,760 --> 00:47:34,600
Speaker 1: good taste should go see the sequel because the first

844
00:47:34,640 --> 00:47:37,359
Speaker 1: one was though. It's like a rip off of Ferngully,

845
00:47:37,520 --> 00:47:41,719
Speaker 1: Dances with Wolves and the Pocahonas movie all at the

846
00:47:41,760 --> 00:47:45,480
Speaker 1: same time. Well, I thought that they had put out

847
00:47:45,520 --> 00:47:48,560
Speaker 1: the movies for Best Picture. I guess they haven't done

848
00:47:48,560 --> 00:47:50,520
Speaker 1: that yet for the Oscar. But I saw the list

849
00:47:50,680 --> 00:47:53,960
Speaker 1: of like the ten favorites block. I had never heard

850
00:47:53,960 --> 00:47:56,600
Speaker 1: of nine of them. You're talking about the oscars and

851
00:47:56,640 --> 00:48:01,880
Speaker 1: the movies just declining relevance, I think in our cultural moment.

852
00:48:02,640 --> 00:48:07,520
Speaker 1: But I remember the original Avatar very moderately at best,

853
00:48:07,600 --> 00:48:10,360
Speaker 1: Like I don't really remember any details associated with it.

854
00:48:10,400 --> 00:48:13,840
Speaker 1: I remember that they were blue and that the cinematography

855
00:48:14,239 --> 00:48:17,920
Speaker 1: was really cool. That's pretty much all I remember. And

856
00:48:18,160 --> 00:48:21,080
Speaker 1: I'll probably end up taking my boys to go see

857
00:48:21,160 --> 00:48:25,160
Speaker 1: the movie just because it's Christmas in the holiday season,

858
00:48:25,239 --> 00:48:27,920
Speaker 1: and that's kind of a trend, right, kind of a tradition,

859
00:48:28,040 --> 00:48:30,640
Speaker 1: is that there's a movie on and everybody's cooped up

860
00:48:30,680 --> 00:48:32,319
Speaker 1: in the house and you decide to go out and

861
00:48:32,360 --> 00:48:35,160
Speaker 1: see one. I think they're bringing back Top Gun Maverick,

862
00:48:35,600 --> 00:48:38,120
Speaker 1: which I would also be inclined to go see again.

863
00:48:38,560 --> 00:48:40,839
Speaker 1: And I keep thinking Buck that they're going to take

864
00:48:40,840 --> 00:48:43,879
Speaker 1: the lesson of Top Gun Maverick. I believe Top Gun

865
00:48:43,920 --> 00:48:48,000
Speaker 1: Maverick now made one and a half billion dollars, And

866
00:48:48,160 --> 00:48:52,279
Speaker 1: you were talking about the box office grosses and everything else.

867
00:48:52,680 --> 00:48:54,839
Speaker 1: One of the things that drives me crazy is they

868
00:48:54,880 --> 00:48:59,160
Speaker 1: don't inflation adjust those numbers, because obviously Gone with the

869
00:48:59,200 --> 00:49:02,440
Speaker 1: Wind in nineteen thirty nine made a lot less money

870
00:49:02,440 --> 00:49:06,359
Speaker 1: in the box office, and Rocky did, and Titanic did.

871
00:49:06,480 --> 00:49:10,520
Speaker 1: Now you have to adjust based on what ticket prices

872
00:49:10,560 --> 00:49:13,000
Speaker 1: cost now to see how big of a hit these

873
00:49:13,040 --> 00:49:16,719
Speaker 1: movies really were. But I'm with you. I think people

874
00:49:16,760 --> 00:49:19,560
Speaker 1: are so desperate for entertainment that Avatar will do well

875
00:49:19,600 --> 00:49:22,200
Speaker 1: because it's kind of in the line of the superhero

876
00:49:22,320 --> 00:49:27,160
Speaker 1: Marvel box office movies. But even Black Panther two didn't

877
00:49:27,160 --> 00:49:31,360
Speaker 1: have anywhere near the same cachet and success as Black

878
00:49:31,400 --> 00:49:34,560
Speaker 1: Panther one. And I think even these Marvel movies are

879
00:49:34,560 --> 00:49:36,279
Speaker 1: starting to take it on the channel a little bit

880
00:49:36,400 --> 00:49:38,920
Speaker 1: as people are getting more used to them and Star

881
00:49:38,960 --> 00:49:42,920
Speaker 1: Wars and everything else. The lesson here is Star the

882
00:49:43,120 --> 00:49:45,920
Speaker 1: Top Gun Maverick Buck. People don't want to hear my

883
00:49:46,000 --> 00:49:48,320
Speaker 1: take on the Marvel movies because I'm gonna upset a

884
00:49:48,360 --> 00:49:51,080
Speaker 1: lot of people. You hate the Marvel movies. I mean

885
00:49:51,200 --> 00:49:53,760
Speaker 1: so many, so many of them are so brainless. Honestly,

886
00:49:53,840 --> 00:49:56,680
Speaker 1: the dialogue it's like written by fifth graders, you know,

887
00:49:56,920 --> 00:50:00,319
Speaker 1: it's just it's all special effects and boom bag. Well,

888
00:50:00,320 --> 00:50:04,520
Speaker 1: they're designed for kids, so that's not that it's not kids,

889
00:50:04,560 --> 00:50:07,520
Speaker 1: it's globally. They're actually I think designed for the Chinese

890
00:50:07,520 --> 00:50:09,920
Speaker 1: marketplace to be dubbed, and that's why they make so

891
00:50:10,000 --> 00:50:12,960
Speaker 1: much money. I mean they're designed to be global visual

892
00:50:13,080 --> 00:50:16,279
Speaker 1: spectacles that they then put into other languages, right, like,

893
00:50:16,320 --> 00:50:18,800
Speaker 1: you don't you don't have to have some cultural connection

894
00:50:18,840 --> 00:50:21,360
Speaker 1: to Thor and the Hulk. Well, the reason why I

895
00:50:21,400 --> 00:50:26,200
Speaker 1: don't criticize them is I actually still like the idea

896
00:50:26,280 --> 00:50:29,479
Speaker 1: of a movie being made for someone who's five years

897
00:50:29,480 --> 00:50:31,879
Speaker 1: old that they can watch also with a twenty five

898
00:50:31,960 --> 00:50:34,759
Speaker 1: year old and enjoy it equally. And because I've got

899
00:50:34,800 --> 00:50:39,640
Speaker 1: three young kids, so I don't. I don't dislike Superhero.

900
00:50:39,680 --> 00:50:42,200
Speaker 1: I'm actually okay with I like superhero movies like I

901
00:50:42,280 --> 00:50:44,359
Speaker 1: think the first Iron Man movies a really good movie.

902
00:50:44,440 --> 00:50:47,400
Speaker 1: I think The Batman Begins and that whole Christopher Nolan franchise.

903
00:50:47,560 --> 00:50:50,200
Speaker 1: So some people are just you know, hate and bihero

904
00:50:50,719 --> 00:50:52,600
Speaker 1: as a as a as a genre. I'm I grew

905
00:50:52,680 --> 00:50:55,520
Speaker 1: up reading comics. I like superhero movies. You like the

906
00:50:55,560 --> 00:50:58,160
Speaker 1: Avengers trilogy then, right, I mean that was really good

907
00:50:58,200 --> 00:51:00,399
Speaker 1: in game like you can't that that was well done?

908
00:51:00,440 --> 00:51:03,000
Speaker 1: You didn't like those? So this is where we're sitting.

909
00:51:03,040 --> 00:51:05,160
Speaker 1: I mean, have you seen some of the Thoor like

910
00:51:05,280 --> 00:51:07,959
Speaker 1: loving thunder stuff. I mean, they've really just gone off.

911
00:51:08,000 --> 00:51:10,759
Speaker 1: It's just oh yeah, look they're just running truck into

912
00:51:10,800 --> 00:51:14,640
Speaker 1: the wall. I think there's a wide variety of of

913
00:51:14,840 --> 00:51:17,280
Speaker 1: quality of a lot of these movies. I don't dispute

914
00:51:17,320 --> 00:51:20,000
Speaker 1: that at all. But like the Avengers in Game trilogy,

915
00:51:20,960 --> 00:51:24,040
Speaker 1: Uh was amazing, Like I thought, it was really well done.

916
00:51:24,160 --> 00:51:26,799
Speaker 1: My favorite movie for being able to take I'll give

917
00:51:26,840 --> 00:51:30,080
Speaker 1: you a guess. This movie came out in the early

918
00:51:30,200 --> 00:51:33,600
Speaker 1: two thousands, I believe, and I loved it for being

919
00:51:33,640 --> 00:51:36,719
Speaker 1: able to take as many different ages as possible. They've

920
00:51:36,760 --> 00:51:39,400
Speaker 1: made many sequels of it since, but the original I

921
00:51:39,520 --> 00:51:44,399
Speaker 1: loved um. I mean, I mean Pirates, the Pirates, I'm

922
00:51:44,400 --> 00:51:48,200
Speaker 1: gonna give it to you, loved it. Yeah, the first

923
00:51:47,680 --> 00:51:52,080
Speaker 1: Pirates of the Caribbean has is cleverer and has has

924
00:51:52,160 --> 00:51:55,120
Speaker 1: some It's very well produced. I mean, I I get

925
00:51:55,360 --> 00:51:57,080
Speaker 1: I'm not hit on that one. I just think that

926
00:51:57,560 --> 00:52:00,319
Speaker 1: I've seen some of these Marvel you know, multi verse

927
00:52:00,400 --> 00:52:03,400
Speaker 1: movies or whatever, and you're just it's just more and

928
00:52:03,440 --> 00:52:06,360
Speaker 1: more aliens running through buildings and blowing them up in

929
00:52:06,480 --> 00:52:09,279
Speaker 1: lasers everywhere, and you're like, what is even happening here?

930
00:52:09,320 --> 00:52:12,080
Speaker 1: Like this? Well, the reason why I love Top Gun

931
00:52:12,120 --> 00:52:15,280
Speaker 1: Mavericks so much, Buck was it took me back to

932
00:52:15,600 --> 00:52:18,560
Speaker 1: our childhood. Although you're much younger than me, it took

933
00:52:18,560 --> 00:52:22,000
Speaker 1: me back to our childhood, your generate, your millennial. I'm

934
00:52:22,000 --> 00:52:25,120
Speaker 1: a gen X. But it took me back to the

935
00:52:25,160 --> 00:52:29,200
Speaker 1: eighties and nineties when it felt like almost every movie

936
00:52:29,520 --> 00:52:32,680
Speaker 1: was made for a broad audience. And that doesn't mean

937
00:52:32,760 --> 00:52:36,640
Speaker 1: that it was perfect, but Top Gun Maverick was. It

938
00:52:36,680 --> 00:52:40,120
Speaker 1: was like being in nineteen eighty six or nineteen ninety

939
00:52:40,120 --> 00:52:43,040
Speaker 1: two all over again. So so can I. I'll tell

940
00:52:43,040 --> 00:52:46,399
Speaker 1: you this. I think. I think that what we've seen

941
00:52:47,480 --> 00:52:51,680
Speaker 1: is that it became the primary focus of anyone seeking

942
00:52:51,719 --> 00:52:56,799
Speaker 1: to make a movie, went from what will be the

943
00:52:56,840 --> 00:53:00,960
Speaker 1: biggest impact for audience. I mean, to your point, what

944
00:53:01,000 --> 00:53:03,600
Speaker 1: will be what we'll get the most butts in seats

945
00:53:03,600 --> 00:53:08,640
Speaker 1: in movie theaters. That was a huge consideration the major studios. Now,

946
00:53:08,760 --> 00:53:12,080
Speaker 1: for the people green lighting movies, it's what will get

947
00:53:12,080 --> 00:53:15,560
Speaker 1: me praise from my peers that run this studio and

948
00:53:15,680 --> 00:53:18,800
Speaker 1: other studios, and so I get invited to fancy cocktail

949
00:53:18,880 --> 00:53:22,520
Speaker 1: parties in Malibu. That's why they green light certain movies. Now,

950
00:53:22,520 --> 00:53:24,920
Speaker 1: it's very clear to me, based on the content that

951
00:53:24,920 --> 00:53:28,400
Speaker 1: they're producing. I think that's true. I also think streaming

952
00:53:28,440 --> 00:53:31,440
Speaker 1: factors in here, buck, and I think there is something

953
00:53:31,520 --> 00:53:36,000
Speaker 1: to trying to define a niche as opposed to trying

954
00:53:36,000 --> 00:53:38,840
Speaker 1: to hit a mass market, if that makes any sense.

955
00:53:39,000 --> 00:53:43,000
Speaker 1: And so if you are, you know, sixteen years old

956
00:53:43,440 --> 00:53:46,799
Speaker 1: and you have an interest in you know, like I

957
00:53:46,880 --> 00:53:51,240
Speaker 1: don't know, like the Werewolves, like there's a movie made

958
00:53:51,320 --> 00:53:53,759
Speaker 1: for you. And that might be a bad example, because

959
00:53:53,760 --> 00:53:56,200
Speaker 1: the Twilight movies did really well. I never watched them.

960
00:53:57,160 --> 00:53:59,799
Speaker 1: Mike Leach, who died recently, had a great take on that.

961
00:54:00,280 --> 00:54:03,239
Speaker 1: The Mississippi State former head coach. He said that he

962
00:54:03,360 --> 00:54:06,080
Speaker 1: liked his vampires to be mean and angry and not

963
00:54:06,160 --> 00:54:09,560
Speaker 1: like Mopi adolescence, and I was like, I totally get

964
00:54:09,600 --> 00:54:13,040
Speaker 1: that right. But so I feel like that the intent

965
00:54:13,760 --> 00:54:19,440
Speaker 1: of making a mass success story is changed in streaming,

966
00:54:19,480 --> 00:54:22,680
Speaker 1: where the intent is not the same thing, if that

967
00:54:22,719 --> 00:54:26,319
Speaker 1: makes sense. And I think it's a subtle shift, but

968
00:54:26,360 --> 00:54:28,640
Speaker 1: I think it's a pretty substantial one. There just aren't

969
00:54:28,719 --> 00:54:32,520
Speaker 1: very many movies made like Top Gun Maverick anymore. And

970
00:54:32,560 --> 00:54:36,319
Speaker 1: I think, in fact that it's unapologetically pro America and

971
00:54:36,480 --> 00:54:38,560
Speaker 1: just a feel good movie that you could take your

972
00:54:38,600 --> 00:54:42,600
Speaker 1: kids too was pretty fantastic. Not the best movie, but

973
00:54:43,080 --> 00:54:46,480
Speaker 1: movie watching experience, either when you were a kid or

974
00:54:46,520 --> 00:54:50,280
Speaker 1: with your family as a dad, your best in theater

975
00:54:50,640 --> 00:54:55,799
Speaker 1: movie watching experience in memory is what movie for When

976
00:54:55,840 --> 00:54:58,719
Speaker 1: I was a kid, Return of the Jedi in the

977
00:54:58,800 --> 00:55:01,879
Speaker 1: movie theater, remember going to see it and just being

978
00:55:02,000 --> 00:55:04,200
Speaker 1: blown away? What about you? What movie did you guys too?

979
00:55:04,320 --> 00:55:08,040
Speaker 1: And just think I remember my parents taking the whole

980
00:55:08,080 --> 00:55:11,799
Speaker 1: family to see Jurassic Park the original when I was

981
00:55:11,840 --> 00:55:15,600
Speaker 1: in the third grade. That was amazing. Yeah, I was

982
00:55:15,640 --> 00:55:17,960
Speaker 1: really good. It's a good question. Let me think on it.

983
00:55:18,000 --> 00:55:20,240
Speaker 1: I'll give you an answer for the best family going

984
00:55:20,280 --> 00:55:23,640
Speaker 1: to the movie experience that we have had, where everybody

985
00:55:23,760 --> 00:55:25,879
Speaker 1: enjoyed it and left and was like, that's a great

986
00:55:25,920 --> 00:55:27,800
Speaker 1: feeling when you're the dad and you leave the theater

987
00:55:28,320 --> 00:55:30,800
Speaker 1: and your kids, your boys or your girls are jumping

988
00:55:30,840 --> 00:55:33,239
Speaker 1: around like in a great mood. You can't stop talking

989
00:55:33,239 --> 00:55:37,239
Speaker 1: about how awesome it was, and hopefully also simultaneously you

990
00:55:37,360 --> 00:55:40,200
Speaker 1: enjoyed it. We take all the three boys. My wife

991
00:55:40,200 --> 00:55:42,600
Speaker 1: and I still really liked the movies, so we take

992
00:55:42,640 --> 00:55:46,600
Speaker 1: all the whole family two movies fairly frequently if we can,

993
00:55:46,719 --> 00:55:48,600
Speaker 1: and That's why the Marvel movies to me have some

994
00:55:48,680 --> 00:55:50,719
Speaker 1: appeal because it's just something we can go do as

995
00:55:50,760 --> 00:55:53,440
Speaker 1: a full family. Let me think on the best reaction

996
00:55:53,520 --> 00:55:55,239
Speaker 1: coming out of one of those movies. But for me

997
00:55:55,280 --> 00:55:57,799
Speaker 1: as a kid, it was Return of the Jedi Beyond

998
00:55:57,800 --> 00:56:00,239
Speaker 1: a Shadow of a Doubt. I still remember how in

999
00:56:00,280 --> 00:56:03,040
Speaker 1: that movie was also the other one not going to

1000
00:56:03,120 --> 00:56:07,320
Speaker 1: surprise you, Indiana Jones and the Temple of Doom. I

1001
00:56:07,360 --> 00:56:09,200
Speaker 1: think that, you know, when they leave the movies on

1002
00:56:09,320 --> 00:56:12,680
Speaker 1: for the whole summer, buck, I think every single family

1003
00:56:12,760 --> 00:56:16,600
Speaker 1: member I had took me to go see Indiana Jones

1004
00:56:16,640 --> 00:56:18,480
Speaker 1: and the Temple of Doom as like a seven or

1005
00:56:18,520 --> 00:56:20,680
Speaker 1: eight year old, Like my cousins took me, and then

1006
00:56:20,719 --> 00:56:24,480
Speaker 1: my you know, my grandparents took me, and my aunt's

1007
00:56:24,640 --> 00:56:27,160
Speaker 1: uncles took me. Everybody. You see, they're saying that the

1008
00:56:27,200 --> 00:56:29,520
Speaker 1: new Indiana Jones is gonna be all about having a

1009
00:56:29,560 --> 00:56:32,160
Speaker 1: woman lead, and she's the new Indiana Jones. It's like

1010
00:56:32,200 --> 00:56:34,760
Speaker 1: the Ghostbusters. I hope not. They're gonna ruin it, Clay.

1011
00:56:34,680 --> 00:56:37,000
Speaker 1: They're gonna just you're gonna have to hold me as

1012
00:56:37,000 --> 00:56:40,640
Speaker 1: I cry because they're gonna ruin Indiana Jones. Just like

1013
00:56:40,680 --> 00:56:45,719
Speaker 1: they ruined Ghostbusters. They did bring back Ghostbusters Resurrection, which

1014
00:56:45,800 --> 00:56:49,720
Speaker 1: was better, but the all female Ghostbusters was an unmitigated disaster.

1015
00:56:49,800 --> 00:56:51,319
Speaker 1: There's no other way to describe it. And you know

1016
00:56:51,360 --> 00:56:53,400
Speaker 1: what they do sometimes when they ruin these movies is

1017
00:56:53,760 --> 00:56:56,359
Speaker 1: they take the masculinity out of them. They take away

1018
00:56:56,400 --> 00:57:00,440
Speaker 1: the testosterone, They take away your ability to just kick

1019
00:57:00,520 --> 00:57:04,720
Speaker 1: back and say that's a badass. I want Indiana Jones

1020
00:57:04,760 --> 00:57:06,719
Speaker 1: to be a badass. I don't need anybody else to

1021
00:57:06,760 --> 00:57:09,560
Speaker 1: be a badass. It's like Chalk. They will hook you

1022
00:57:09,760 --> 00:57:13,640
Speaker 1: up in a big way and make sure that they

1023
00:57:13,680 --> 00:57:17,360
Speaker 1: have got testosterone in your life. You know, as you age,

1024
00:57:17,560 --> 00:57:19,360
Speaker 1: you don't have as much energy as you used to.

1025
00:57:19,800 --> 00:57:22,600
Speaker 1: And that's why the Biden administration has the lowest level

1026
00:57:22,640 --> 00:57:24,920
Speaker 1: of testosterone than any of us have ever seen. I

1027
00:57:24,960 --> 00:57:28,320
Speaker 1: really believe this in White House history. That's why you

1028
00:57:28,360 --> 00:57:30,080
Speaker 1: can go get hooked up right now at Chalk with

1029
00:57:30,120 --> 00:57:34,280
Speaker 1: their male vitality stack. They also have a female vitality stack,

1030
00:57:34,560 --> 00:57:37,760
Speaker 1: all natural. It will help to ensure that you have

1031
00:57:37,880 --> 00:57:41,520
Speaker 1: more energy and you will feel better than you do today.

1032
00:57:42,120 --> 00:57:45,440
Speaker 1: You can get hooked up spelled c hoq go to

1033
00:57:45,640 --> 00:57:48,720
Speaker 1: choq dot com right now you can use my name Clay.

1034
00:57:49,120 --> 00:57:52,680
Speaker 1: Get thirty five percent off any Chalk subscription for life.

1035
00:57:52,920 --> 00:57:56,840
Speaker 1: This is the real Indiana Jones, not the updated version.

1036
00:57:57,120 --> 00:58:01,560
Speaker 1: This is the real Ghostbusters, not the all girl version Ghostbusters.

1037
00:58:01,840 --> 00:58:05,240
Speaker 1: This is Chalk. Four men who want to feel like

1038
00:58:05,400 --> 00:58:10,200
Speaker 1: men c hoq dot com Get hooked up. Testosterone down

1039
00:58:10,280 --> 00:58:13,919
Speaker 1: fifty percent. Put some testosterone back in your life. Don't

1040
00:58:14,040 --> 00:58:17,040
Speaker 1: miss a minute of playing Buck and get behind the

1041
00:58:17,160 --> 00:58:21,320
Speaker 1: scene access to special content for members only. Subscribe to

1042
00:58:21,560 --> 00:58:23,480
Speaker 1: C and B twenty four to seven