1
00:00:10,960 --> 00:00:17,320
Speaker 1: This is a Jesse Kelly show. It is the Jesse

2
00:00:17,600 --> 00:00:26,200
Speaker 1: Kelly Show. Let's have some fun on a Wednesday, a

3
00:00:26,600 --> 00:00:31,560
Speaker 1: Hope day, and we have made it over halfway through

4
00:00:31,640 --> 00:00:34,840
Speaker 1: the week. Smile even now it's kind of a rough day.

5
00:00:35,120 --> 00:00:37,920
Speaker 1: Maybe a bit of a rocky show here for a bit.

6
00:00:38,200 --> 00:00:41,240
Speaker 1: Put a smile on your face. We're over halfway through

7
00:00:41,280 --> 00:00:45,200
Speaker 1: the week. And here's what's on tap for tonight. Yes,

8
00:00:45,320 --> 00:00:47,400
Speaker 1: I'm at some point in time going to make fun

9
00:00:47,400 --> 00:00:50,440
Speaker 1: of the liberal white woman for kissing Jasmine Crocketts feed.

10
00:00:50,479 --> 00:00:54,440
Speaker 1: And we'll go over emails and Texas doing good things.

11
00:00:54,440 --> 00:00:57,600
Speaker 1: We're going to talk about local elections, not my specific one,

12
00:00:57,640 --> 00:00:59,720
Speaker 1: but why they matter so much. I'll get to all

13
00:00:59,760 --> 00:01:03,600
Speaker 1: those things in a while. But you know, and I

14
00:01:03,720 --> 00:01:06,840
Speaker 1: know what we have to talk about. What we're going

15
00:01:07,000 --> 00:01:11,760
Speaker 1: to talk about. What has the anti communist, the MAGA,

16
00:01:11,800 --> 00:01:18,319
Speaker 1: the America First Movement on fire with rage today? I

17
00:01:18,720 --> 00:01:23,920
Speaker 1: have not one theory. I have two theories about why

18
00:01:23,959 --> 00:01:27,080
Speaker 1: these things are happening, what is coming out, and I'm

19
00:01:27,080 --> 00:01:29,000
Speaker 1: going to get to both of them. One of them

20
00:01:29,120 --> 00:01:32,240
Speaker 1: may make you feel better, probably will. The other one

21
00:01:32,319 --> 00:01:36,160
Speaker 1: will undoubtedly horrify you and make you feel worse. But

22
00:01:36,360 --> 00:01:38,800
Speaker 1: what am I talking about? Just in case you haven't

23
00:01:38,840 --> 00:01:41,840
Speaker 1: been paying attention to the news, you haven't been on

24
00:01:41,920 --> 00:01:47,880
Speaker 1: social media. Trump's full comments to Laura Ingram about foreign

25
00:01:47,960 --> 00:01:53,000
Speaker 1: workers H one B workers coming into the country. They

26
00:01:53,040 --> 00:01:57,520
Speaker 1: are going like wildfire across the nation today. So let's

27
00:01:57,560 --> 00:01:58,400
Speaker 1: listen to what he said.

28
00:01:58,480 --> 00:02:00,240
Speaker 2: Well, first of all, I think and I know the

29
00:02:00,440 --> 00:02:02,880
Speaker 2: H one be very well and it's something that I

30
00:02:02,960 --> 00:02:04,840
Speaker 2: frankly use, and I shouldn't be allowed to use.

31
00:02:04,880 --> 00:02:07,800
Speaker 3: We shouldn't have it very very bad for workers.

32
00:02:07,920 --> 00:02:11,080
Speaker 1: And oh wait, that that was Donald Trump from a

33
00:02:11,080 --> 00:02:14,200
Speaker 1: while ago. That was the wrong one. Let's let's go

34
00:02:14,360 --> 00:02:19,280
Speaker 1: to Donald Trump's comments with Laura Ingram about these foreign works.

35
00:02:19,360 --> 00:02:21,600
Speaker 4: You see some big tech companies where they'll lay off

36
00:02:21,960 --> 00:02:25,639
Speaker 4: nine thousand workers and then they'll apply for a bunch

37
00:02:25,720 --> 00:02:28,400
Speaker 4: of overseas visas. And I sort of wonder, my that

38
00:02:28,440 --> 00:02:31,560
Speaker 4: doesn't totally make sense to me. Myth does that displacement

39
00:02:31,560 --> 00:02:33,080
Speaker 4: in that math worries me a bit? And what the

40
00:02:33,080 --> 00:02:35,600
Speaker 4: President has said, he said very clearly, we want the

41
00:02:35,720 --> 00:02:38,040
Speaker 4: very best, in the brightest to make America their home.

42
00:02:38,080 --> 00:02:40,200
Speaker 4: We want them to build great companies and so forth.

43
00:02:40,440 --> 00:02:44,960
Speaker 4: But I don't want companies to fire nine thousand American

44
00:02:45,000 --> 00:02:47,720
Speaker 4: workers and then to go and say we can't find

45
00:02:47,720 --> 00:02:48,720
Speaker 4: workers here in America.

46
00:02:49,480 --> 00:02:52,560
Speaker 1: Wait, that that was the wrong clip too. All right,

47
00:02:52,560 --> 00:02:57,120
Speaker 1: dev Let's go to Trump's comments on Laura Ingram. What

48
00:02:57,200 --> 00:02:57,720
Speaker 1: did you have to.

49
00:02:57,639 --> 00:03:00,519
Speaker 4: Say this idea that American citizens don't have talent to

50
00:03:00,560 --> 00:03:03,960
Speaker 4: do great things, you have to import a foreign class

51
00:03:04,000 --> 00:03:07,200
Speaker 4: of servants and professors to do these things.

52
00:03:07,480 --> 00:03:08,280
Speaker 3: I just reject that.

53
00:03:08,320 --> 00:03:10,240
Speaker 4: I actually think we invest in our own people, we

54
00:03:10,280 --> 00:03:11,200
Speaker 4: can do a lot of good.

55
00:03:13,040 --> 00:03:18,160
Speaker 1: That was the wrong one too. Let's go to what

56
00:03:18,240 --> 00:03:21,200
Speaker 1: Trump did actually say to Laura.

57
00:03:21,040 --> 00:03:23,440
Speaker 5: Ingri h one b visa thing will not be a

58
00:03:23,440 --> 00:03:25,840
Speaker 5: big priority for your administration, because if you want to

59
00:03:25,919 --> 00:03:29,080
Speaker 5: raise wages for American workers, you can't flood the country

60
00:03:29,200 --> 00:03:31,320
Speaker 5: with tens of thousands or hundreds of dollars.

61
00:03:31,760 --> 00:03:34,920
Speaker 3: And we also do have to bring in talent when.

62
00:03:34,760 --> 00:03:38,320
Speaker 5: We've got talent, and we don't have talent in people.

63
00:03:38,400 --> 00:03:40,840
Speaker 2: Now you don't have you don't have certain talents, and

64
00:03:40,880 --> 00:03:43,240
Speaker 2: you have to people have to learn. You can't take

65
00:03:43,280 --> 00:03:46,600
Speaker 2: people off an unimplyment like an unemployment line and say

66
00:03:46,840 --> 00:03:48,120
Speaker 2: I'm going to put you into a factory.

67
00:03:48,240 --> 00:03:49,680
Speaker 3: We're going to make missiles.

68
00:03:51,760 --> 00:03:56,520
Speaker 1: We don't have the talent. We can't learn. If you

69
00:03:56,560 --> 00:03:59,120
Speaker 1: don't have a job, we can't put you in a

70
00:03:59,160 --> 00:04:02,320
Speaker 1: factory and teach you how to work it. All right,

71
00:04:03,200 --> 00:04:06,720
Speaker 1: So what did I show up to today? I don't

72
00:04:06,720 --> 00:04:09,320
Speaker 1: even know what the total number is. I did read

73
00:04:09,360 --> 00:04:13,440
Speaker 1: them all. I showed up to emails like this Bronco

74
00:04:14,520 --> 00:04:19,520
Speaker 1: six hundred thousand Chinese students, H one bs and wealth redistribution.

75
00:04:19,720 --> 00:04:22,840
Speaker 1: What a crappy twenty four hours. The entire year has

76
00:04:22,839 --> 00:04:25,440
Speaker 1: been in service to his donors. I'm at the point

77
00:04:25,440 --> 00:04:28,320
Speaker 1: where I won't care if he's impeached, removed, indicted, and

78
00:04:28,360 --> 00:04:32,279
Speaker 1: sent to prison. I have another one. I mean, I

79
00:04:32,279 --> 00:04:35,960
Speaker 1: have so many, Hey, Jesse, no more cope. The nineties

80
00:04:36,040 --> 00:04:38,640
Speaker 1: Democrat that is Trump is thumbing his nose at the

81
00:04:38,680 --> 00:04:41,839
Speaker 1: base and embracing the immigration and globalist whims of his

82
00:04:41,960 --> 00:04:45,640
Speaker 1: donors and the lobbyists is destroying his presidency. The die

83
00:04:45,800 --> 00:04:48,440
Speaker 1: is cast. So this is not what I voted for.

84
00:04:48,680 --> 00:04:50,400
Speaker 1: I'm gonna stop. I'm not gonna read all these but

85
00:04:50,480 --> 00:04:55,000
Speaker 1: this is what I showed up to today. Your white

86
00:04:55,040 --> 00:04:59,360
Speaker 1: hot anger at Trump's one of the worst interviews, maybe

87
00:04:59,400 --> 00:05:03,800
Speaker 1: the worst interview he's ever given. So like I said,

88
00:05:03,839 --> 00:05:09,520
Speaker 1: I have two working theories about what is happening right now.

89
00:05:11,440 --> 00:05:14,200
Speaker 1: Let me go with the first one. That might make

90
00:05:14,279 --> 00:05:16,120
Speaker 1: you feel better. Parts of it may offend you, and

91
00:05:16,120 --> 00:05:18,720
Speaker 1: I don't care if they do, but it might make

92
00:05:18,800 --> 00:05:22,719
Speaker 1: you feel better. Right And keep in mind, it wasn't

93
00:05:22,800 --> 00:05:26,839
Speaker 1: just Trump with sitting down with Laura Ingram saying things

94
00:05:26,920 --> 00:05:32,279
Speaker 1: like this. We have DHS Secretary Christinome going on the

95
00:05:32,279 --> 00:05:35,800
Speaker 1: news and at the same time, almost as if it's coordinated, saying.

96
00:05:35,600 --> 00:05:38,240
Speaker 6: Things like that, we're going to keep using our visa programs,

97
00:05:38,240 --> 00:05:40,040
Speaker 6: We're just going to make sure that they have integrity,

98
00:05:40,360 --> 00:05:42,920
Speaker 6: that we're actually doing the vetting of the individuals who

99
00:05:42,960 --> 00:05:44,680
Speaker 6: come into this country, that they want to be here

100
00:05:44,680 --> 00:05:47,640
Speaker 6: for the right reasons, that they're not supporters of terrorists

101
00:05:48,040 --> 00:05:51,120
Speaker 6: and organizations that hate America. And that's what I think

102
00:05:51,160 --> 00:05:54,080
Speaker 6: is so remarkable is under the Trump administration, we've sped

103
00:05:54,160 --> 00:05:57,240
Speaker 6: up our process and added integrity to the visa programs,

104
00:05:57,640 --> 00:06:00,320
Speaker 6: to green cards, to all of that. But also more

105
00:06:00,320 --> 00:06:04,080
Speaker 6: people are becoming naturalized under this administration than ever before.

106
00:06:04,360 --> 00:06:07,440
Speaker 6: More people are becoming citizens.

107
00:06:07,920 --> 00:06:14,320
Speaker 1: What what did you just say? More people becoming citizens

108
00:06:14,320 --> 00:06:16,560
Speaker 1: than ever before. By the way, it's not just Trump,

109
00:06:16,680 --> 00:06:19,680
Speaker 1: not just Christy Nolan. This is becoming a pattern.

110
00:06:19,720 --> 00:06:22,160
Speaker 7: Scott Be said again, we can't snap our fingers and

111
00:06:22,240 --> 00:06:24,760
Speaker 7: say you're going to learn how to build ships overnight.

112
00:06:25,040 --> 00:06:28,920
Speaker 7: We want to bring semiconductor industry back to the US.

113
00:06:29,040 --> 00:06:33,120
Speaker 7: They're going to be big facilities in Arizona. So I

114
00:06:33,120 --> 00:06:37,440
Speaker 7: think the president's vision here is to bring in overseas

115
00:06:37,480 --> 00:06:40,120
Speaker 7: workers where these jobs went, who have skills, who have

116
00:06:40,200 --> 00:06:45,000
Speaker 7: the skills, three five, seven years to train the US workers.

117
00:06:45,360 --> 00:06:48,800
Speaker 7: Then they can go home. The US workers fully takeover.

118
00:06:50,040 --> 00:06:52,680
Speaker 1: We're going to bring them here and then after they're

119
00:06:52,720 --> 00:06:55,960
Speaker 1: done training us stupid Americans without any skills or talent,

120
00:06:56,520 --> 00:06:59,520
Speaker 1: then they'll go home. Of course, anyone who knows anything

121
00:06:59,560 --> 00:07:04,200
Speaker 1: about illegal immigration understands actually a large percentage of the

122
00:07:04,240 --> 00:07:07,680
Speaker 1: illegals in this country are visa overstays. They don't go

123
00:07:07,760 --> 00:07:12,200
Speaker 1: home visa expires, they stay right here. Now let's go

124
00:07:12,360 --> 00:07:17,320
Speaker 1: to my theory that I hope I'm correct about. I

125
00:07:17,360 --> 00:07:23,000
Speaker 1: hope I'm correct about. First, let's discuss Donald Trump what

126
00:07:23,160 --> 00:07:27,840
Speaker 1: his belief system actually is, but what are his stances

127
00:07:27,880 --> 00:07:35,440
Speaker 1: on things. Now, here's the thing. Donald Trump was a businessman,

128
00:07:35,720 --> 00:07:38,200
Speaker 1: is a businessman. You knew Donald Trump, long before he

129
00:07:38,240 --> 00:07:42,560
Speaker 1: got into politics, A tough talking New York businessman, real

130
00:07:42,680 --> 00:07:46,840
Speaker 1: estate deals. He's doing his apprentice show, he's firing people.

131
00:07:46,920 --> 00:07:49,119
Speaker 1: He's Donald Trump. He's larger than life. He's in the movies.

132
00:07:49,520 --> 00:07:51,560
Speaker 1: Donald Trump. You know who? You knew who? He was,

133
00:07:52,080 --> 00:07:57,040
Speaker 1: always that guy and not some hardcore anti communist at all.

134
00:07:58,200 --> 00:08:01,440
Speaker 1: Really a registered Democrat, but a New York Democrat. Not

135
00:08:01,520 --> 00:08:04,320
Speaker 1: one of these crazy comedies by any means. The registered

136
00:08:04,320 --> 00:08:06,800
Speaker 1: Democrat gave money to Democrats's kind of what he was.

137
00:08:07,920 --> 00:08:10,600
Speaker 1: But he was also a man has always been a

138
00:08:10,640 --> 00:08:14,520
Speaker 1: man who understood the dangers of China. He is a

139
00:08:14,520 --> 00:08:16,960
Speaker 1: man who is understood for a very long time and

140
00:08:17,040 --> 00:08:20,240
Speaker 1: spoken out for a very long time about the dangers

141
00:08:20,680 --> 00:08:24,960
Speaker 1: of illegal immigration. We all remember how he launched his

142
00:08:25,000 --> 00:08:29,240
Speaker 1: presidential bid ten years ago. He comes down the escalator

143
00:08:29,360 --> 00:08:32,520
Speaker 1: and gives a speech. It's common now, so it's kind

144
00:08:32,520 --> 00:08:34,560
Speaker 1: of baked into the cake, but back then it was

145
00:08:34,600 --> 00:08:36,640
Speaker 1: not common. He got up and he gave a speech,

146
00:08:36,880 --> 00:08:39,920
Speaker 1: and he said, these people coming in from Mexico, these

147
00:08:39,920 --> 00:08:42,559
Speaker 1: are a bunch of drug dealers and criminals and rapists,

148
00:08:42,600 --> 00:08:45,600
Speaker 1: and we got to stop it. Republican politicians did not

149
00:08:45,720 --> 00:08:49,000
Speaker 1: have the stones to talk like that back when Donald

150
00:08:49,000 --> 00:08:53,920
Speaker 1: Trump gave that speech. And because of that speech, that

151
00:08:54,120 --> 00:08:58,960
Speaker 1: kind of tough talk on immigration, that is what launched

152
00:08:59,000 --> 00:09:01,960
Speaker 1: Donald Trump to the front of that presidential race. And

153
00:09:02,000 --> 00:09:06,679
Speaker 1: he's never looked back since, stomping everybody because of that speech,

154
00:09:07,040 --> 00:09:10,320
Speaker 1: because the right, you and me, we were so hungry,

155
00:09:10,360 --> 00:09:16,480
Speaker 1: We are so hungry for anyone to stop handing our

156
00:09:16,520 --> 00:09:23,880
Speaker 1: country away to foreigners. America belongs to Americans, Canada belongs

157
00:09:23,920 --> 00:09:29,120
Speaker 1: to Canadians, France belongs to Frenchmen. That is how nations

158
00:09:29,240 --> 00:09:34,640
Speaker 1: are supposed to work. We have watched for decades while

159
00:09:34,720 --> 00:09:40,800
Speaker 1: politicians have handed our country away to foreigners collaborating with businesses,

160
00:09:41,120 --> 00:09:43,680
Speaker 1: and we're sick of it. We're sick of all the

161
00:09:43,720 --> 00:09:47,120
Speaker 1: amnesty crap. And so when you hear a guy like

162
00:09:47,240 --> 00:09:51,800
Speaker 1: Donald Trump step up and say, Mexico, they're sending rapists

163
00:09:51,840 --> 00:09:59,840
Speaker 1: and drugs, just that little bit of refreshing honesty with

164
00:10:00,160 --> 00:10:04,520
Speaker 1: out apology, it was like it was like being really

165
00:10:04,559 --> 00:10:08,280
Speaker 1: thirsty and someone handed you a glass of ice water. Oh,

166
00:10:08,520 --> 00:10:14,080
Speaker 1: that is so refreshing, Thank you, thank you. He spoke

167
00:10:14,120 --> 00:10:18,960
Speaker 1: a plain truth everyone knew, but no politician had the

168
00:10:19,000 --> 00:10:22,959
Speaker 1: guts to say and Because of that, so many said, yes,

169
00:10:23,440 --> 00:10:29,880
Speaker 1: finally our champion, But maybe we lost sight of a

170
00:10:29,880 --> 00:10:32,720
Speaker 1: couple things. And trust me, this will make you feel

171
00:10:33,160 --> 00:10:36,160
Speaker 1: better in the end, my little theory before we move

172
00:10:36,280 --> 00:10:41,000
Speaker 1: on to those other things. Choc will make you feel better,

173
00:10:42,640 --> 00:10:48,080
Speaker 1: make you feel a lot better. Chalk is natural, natural

174
00:10:48,240 --> 00:10:51,640
Speaker 1: herbal supplements. I think anybody who's lived through the past

175
00:10:51,679 --> 00:10:56,040
Speaker 1: five years in this country has learned to mistrust our

176
00:10:56,240 --> 00:11:00,720
Speaker 1: traditional medical institutions and medical advice. Why do I take

177
00:11:00,760 --> 00:11:03,640
Speaker 1: a male vitality stack from chalk every day? It's not

178
00:11:03,760 --> 00:11:06,360
Speaker 1: just because it has me full of pep with my

179
00:11:06,559 --> 00:11:10,320
Speaker 1: mind working well. Chalk helps me avoid the doctor's office.

180
00:11:10,400 --> 00:11:13,680
Speaker 1: I feel good, I'm not dragon, I'm not getting sick

181
00:11:13,720 --> 00:11:17,920
Speaker 1: all the time. Chalk makes me feel good. Twenty percent

182
00:11:18,000 --> 00:11:21,720
Speaker 1: increase in your T levels in ninety days. Got seventy

183
00:11:21,760 --> 00:11:23,960
Speaker 1: eighty year old men email in the show telling me

184
00:11:24,000 --> 00:11:26,959
Speaker 1: how they feel like a new person. Do you want

185
00:11:27,000 --> 00:11:30,280
Speaker 1: to experience that? Ladies, They have stuff for YouTube female

186
00:11:30,400 --> 00:11:35,680
Speaker 1: vitality stacks. Go to chalk dot com slash Jesse and

187
00:11:35,720 --> 00:11:41,079
Speaker 1: give it a try. C hoq dot com slash Jesse.

188
00:11:41,400 --> 00:11:45,240
Speaker 1: We'll be back the Jesse Kelly Show. I like it

189
00:11:45,280 --> 00:11:50,400
Speaker 1: returns next. It is the Jesse Kelly Show on a

190
00:11:50,520 --> 00:11:54,240
Speaker 1: Wonderful Wednesday, a Hopday, and you can email the show

191
00:11:54,400 --> 00:11:58,800
Speaker 1: Jesse at Jesse kellyshow dot com if you're just joining us.

192
00:11:58,840 --> 00:12:02,640
Speaker 1: We are addressing the the comments that Trump made about

193
00:12:03,000 --> 00:12:05,679
Speaker 1: how we American well, I mean, let's play it again here.

194
00:12:05,720 --> 00:12:08,080
Speaker 5: They each one b visa thing will not be a

195
00:12:08,080 --> 00:12:10,480
Speaker 5: big priority for your administration because if you want to

196
00:12:10,559 --> 00:12:13,720
Speaker 5: raise wages for American workers, you can't flood the country

197
00:12:13,840 --> 00:12:16,000
Speaker 5: with tens of thousands or hundreds of dolls.

198
00:12:16,400 --> 00:12:19,360
Speaker 3: And we also do have to bring in talent when

199
00:12:19,400 --> 00:12:21,760
Speaker 3: we're gone to be a talent and you know you don't.

200
00:12:21,800 --> 00:12:22,959
Speaker 5: We don't have talented people.

201
00:12:23,040 --> 00:12:25,480
Speaker 2: No, you don't have you don't have certain talents, and

202
00:12:25,520 --> 00:12:27,920
Speaker 2: you have to people have to learn. You can't take

203
00:12:27,920 --> 00:12:31,360
Speaker 2: people off an unemployment like an unemployment line and say

204
00:12:31,480 --> 00:12:33,040
Speaker 2: I'm going to put you into a factory who we're

205
00:12:33,040 --> 00:12:33,880
Speaker 2: going to make missiles.

206
00:12:35,400 --> 00:12:39,760
Speaker 1: Yeah, so let's discuss this.

207
00:12:41,120 --> 00:12:41,240
Speaker 2: You.

208
00:12:42,280 --> 00:12:43,839
Speaker 1: I don't know if you know this or realize this,

209
00:12:43,960 --> 00:12:49,520
Speaker 1: but you are way more hardcore anti communists than Donald

210
00:12:49,559 --> 00:12:53,240
Speaker 1: Trump is. He's got more power than me or you.

211
00:12:54,080 --> 00:12:56,280
Speaker 1: He probably has more charisma than.

212
00:12:56,120 --> 00:12:56,760
Speaker 7: Me or you.

213
00:12:58,080 --> 00:13:01,800
Speaker 1: And he has been wonderful for the America First movement,

214
00:13:01,880 --> 00:13:05,360
Speaker 1: and he deserves all kinds of credit for getting it rolling.

215
00:13:05,480 --> 00:13:10,720
Speaker 1: But you have always been more hardcore than he is.

216
00:13:13,480 --> 00:13:20,200
Speaker 1: He listens, though, He listens though sometimes because he's not

217
00:13:20,280 --> 00:13:25,640
Speaker 1: a traditional conservative or anti communist like you, sometimes he

218
00:13:25,800 --> 00:13:34,199
Speaker 1: has ideas that are freaking horrible, dumb, just bad, but

219
00:13:35,440 --> 00:13:39,840
Speaker 1: he listens. Do you remember, obviously, you remember COVID, You

220
00:13:39,840 --> 00:13:42,679
Speaker 1: remember that horrible clock shot and everything else. You remember

221
00:13:42,720 --> 00:13:46,280
Speaker 1: all that? And do you remember when Donald Trump was

222
00:13:46,840 --> 00:13:51,199
Speaker 1: rolling out his second, well his third presidential campaign, gearing

223
00:13:51,280 --> 00:13:54,440
Speaker 1: up to run again in twenty twenty four, started making

224
00:13:54,480 --> 00:13:58,559
Speaker 1: the rounds, doing rallies, doing interviews, and he would get

225
00:13:58,640 --> 00:14:01,280
Speaker 1: up on stage. Here he was down with Bill O'Reilly,

226
00:14:01,559 --> 00:14:05,959
Speaker 1: and he would say things like this about the vaccine.

227
00:14:06,240 --> 00:14:08,560
Speaker 8: Both the President and I are vax And did you

228
00:14:08,559 --> 00:14:15,320
Speaker 8: get the booster? Yes? I got it to okay Son,

229
00:14:16,120 --> 00:14:18,960
Speaker 8: that's a very tiny group of it.

230
00:14:18,960 --> 00:14:20,880
Speaker 1: It was hard to hear, but they started booing. The

231
00:14:20,880 --> 00:14:24,080
Speaker 1: crowd started booing. I don't know if you know this,

232
00:14:24,240 --> 00:14:27,560
Speaker 1: but he tried this more than once at rallies. He

233
00:14:27,600 --> 00:14:30,640
Speaker 1: would get up and he'd talk about how great warpspeed

234
00:14:30,880 --> 00:14:33,800
Speaker 1: was how great the vax was, and every time he

235
00:14:33,840 --> 00:14:36,080
Speaker 1: did it, he would get booed. Now here's what you

236
00:14:36,160 --> 00:14:42,000
Speaker 1: may not know. Donald Trump pulled friends, family, and advisors

237
00:14:42,040 --> 00:14:47,560
Speaker 1: aside and said to them, I don't understand. They love me,

238
00:14:48,040 --> 00:14:52,520
Speaker 1: they love my rallies, they love everything. We're saying. Why

239
00:14:52,560 --> 00:14:55,680
Speaker 1: am I getting booed whenever I bring up the vaccine?

240
00:14:56,360 --> 00:14:58,400
Speaker 1: And it was explained to him, probably all the things

241
00:14:58,480 --> 00:15:00,720
Speaker 1: you think about it. People were five tired over it,

242
00:15:00,920 --> 00:15:04,160
Speaker 1: people were injured over it, people died over it. This

243
00:15:04,240 --> 00:15:07,800
Speaker 1: is not a popular thing you did. So whether or

244
00:15:07,840 --> 00:15:12,160
Speaker 1: not you love it is frankly an important stop bragging

245
00:15:12,200 --> 00:15:15,160
Speaker 1: about it and stop talking about it because the people

246
00:15:15,240 --> 00:15:20,360
Speaker 1: don't like it. Stop. So, he didn't have the correct

247
00:15:20,400 --> 00:15:22,880
Speaker 1: position on that. To this day he doesn't have the

248
00:15:22,920 --> 00:15:26,000
Speaker 1: correct position on that. He wants to brag about it,

249
00:15:26,120 --> 00:15:29,400
Speaker 1: he loves it. To this day he doesn't, but he

250
00:15:29,560 --> 00:15:35,880
Speaker 1: stays relatively quiet about it. Why because of you? Because

251
00:15:36,120 --> 00:15:41,920
Speaker 1: you are more hardcore than he is. You always have been.

252
00:15:42,440 --> 00:15:44,640
Speaker 1: He is the beginning. Remember, the next one will be

253
00:15:44,680 --> 00:15:46,920
Speaker 1: more hardcore than him, and then a while after that'll

254
00:15:46,920 --> 00:15:50,160
Speaker 1: be more hardcore than him. He's not the end. He's

255
00:15:50,320 --> 00:15:57,600
Speaker 1: the beginning, and to his credit, he listens, we need

256
00:15:57,640 --> 00:16:02,600
Speaker 1: the mass deportation of foreigners. We do not need a

257
00:16:02,680 --> 00:16:06,280
Speaker 1: single more illegal, and we don't need a single more legal.

258
00:16:07,200 --> 00:16:10,880
Speaker 1: We don't need more h one b's. We don't need

259
00:16:11,480 --> 00:16:15,680
Speaker 1: fewer jobs for Americans and more jobs for foreigners who

260
00:16:15,720 --> 00:16:19,160
Speaker 1: then turn around and hire only other foreigners. This is

261
00:16:19,200 --> 00:16:23,040
Speaker 1: a terrible idea, it's terrible policy. And by the way,

262
00:16:23,320 --> 00:16:28,160
Speaker 1: it's absolutely putrid to say the American people don't have

263
00:16:28,240 --> 00:16:32,640
Speaker 1: the talent to do these jobs, especially when you're referencing

264
00:16:32,800 --> 00:16:34,680
Speaker 1: freaking factory job one.

265
00:16:34,520 --> 00:16:37,320
Speaker 5: Be visa thing will not be a big priority for

266
00:16:37,360 --> 00:16:39,440
Speaker 5: your administration, because if you want to raise wages for

267
00:16:39,480 --> 00:16:42,840
Speaker 5: American workers, you can't flood the country with tens of

268
00:16:42,840 --> 00:16:44,080
Speaker 5: thousands or hundreds.

269
00:16:44,520 --> 00:16:47,480
Speaker 3: And we also do have to bring in talent when

270
00:16:47,520 --> 00:16:48,040
Speaker 3: we've got.

271
00:16:47,920 --> 00:16:50,240
Speaker 5: Py of talent, and you know you don't we don't

272
00:16:50,240 --> 00:16:51,120
Speaker 5: have talent in people.

273
00:16:51,160 --> 00:16:53,600
Speaker 2: No, you don't have you don't have certain talents, and

274
00:16:53,680 --> 00:16:56,040
Speaker 2: you have to people have to learn. You can't take

275
00:16:56,080 --> 00:16:59,400
Speaker 2: people off an unapplied like an unemployment line is say

276
00:16:59,600 --> 00:17:01,240
Speaker 2: I'm going to put you into a factory were going

277
00:17:01,320 --> 00:17:02,520
Speaker 2: to make missiles.

278
00:17:03,960 --> 00:17:07,120
Speaker 1: Do you know who built all those tanks and planes

279
00:17:07,320 --> 00:17:11,359
Speaker 1: and bombs and bullets in World War Two? Who actually

280
00:17:11,359 --> 00:17:17,199
Speaker 1: physically built them? Women, women who had never worked in

281
00:17:17,280 --> 00:17:22,000
Speaker 1: a factory. Ever. The men had to go off to war,

282
00:17:23,040 --> 00:17:28,760
Speaker 1: women patriotically and wonderfully had no other choice but to

283
00:17:28,840 --> 00:17:33,200
Speaker 1: step up to support the war effort. Step into a factory.

284
00:17:33,560 --> 00:17:35,720
Speaker 1: You were just a school teacher, You were just a

285
00:17:35,760 --> 00:17:38,399
Speaker 1: stay at home mom, You were just this. You were that.

286
00:17:38,680 --> 00:17:41,240
Speaker 1: They had to put on their jeans and step into

287
00:17:41,240 --> 00:17:44,280
Speaker 1: a factory, having never done that labor in their lives,

288
00:17:45,000 --> 00:17:48,439
Speaker 1: and they had to be trained there. Hey, this is

289
00:17:48,480 --> 00:17:52,120
Speaker 1: how you make planes. It's important you do. And they

290
00:17:52,119 --> 00:17:57,240
Speaker 1: did completely untrained, completely unprepared. America's women stepped up like

291
00:17:57,359 --> 00:18:02,400
Speaker 1: freaking saints and patriots. We're trained. We put out everything

292
00:18:02,440 --> 00:18:06,560
Speaker 1: from those factories in large part because of women, untrained

293
00:18:06,560 --> 00:18:10,760
Speaker 1: ones doing the work. The American people are plenty of talented.

294
00:18:11,440 --> 00:18:16,159
Speaker 1: The American people can be trained. So where is my theory?

295
00:18:16,200 --> 00:18:18,119
Speaker 1: They believe me, this is the good one. How is

296
00:18:18,160 --> 00:18:20,840
Speaker 1: this going to make you feel better at all? I'll

297
00:18:20,840 --> 00:18:26,719
Speaker 1: tell you next. This is the Jesse Kelly Show. It

298
00:18:26,920 --> 00:18:31,080
Speaker 1: is the Jesse Kelly Show on a wonderful Wednesday. Member,

299
00:18:31,119 --> 00:18:32,640
Speaker 1: if you miss any part of the show. You can

300
00:18:32,680 --> 00:18:38,800
Speaker 1: download at iHeart, Spotify iTunes. So time for my good

301
00:18:38,840 --> 00:18:42,680
Speaker 1: theory that will probably make you feel better about why

302
00:18:42,760 --> 00:18:46,840
Speaker 1: we are suddenly getting this messaging from Trump, from Christy Nome,

303
00:18:46,880 --> 00:18:49,199
Speaker 1: from Scott Descent about how important it is that we

304
00:18:49,240 --> 00:18:52,800
Speaker 1: get more foreigners in here because you're too stupid, you

305
00:18:52,800 --> 00:18:56,560
Speaker 1: don't have the talent we need these foreigners. Why are

306
00:18:56,560 --> 00:18:59,920
Speaker 1: we getting this messaging. Well, we'll get to that specifically,

307
00:19:00,080 --> 00:19:04,120
Speaker 1: But my good part of the theory is this, Donald

308
00:19:04,160 --> 00:19:07,480
Speaker 1: Trump listens when the base gets angry about things he

309
00:19:07,520 --> 00:19:13,199
Speaker 1: says or does, and he changes course. I believe this

310
00:19:13,320 --> 00:19:17,400
Speaker 1: could possibly be a trial balloon by the Trump administration.

311
00:19:18,280 --> 00:19:21,200
Speaker 1: I believe the Trump administration has a bunch of very

312
00:19:21,240 --> 00:19:25,040
Speaker 1: big business interests around it, as any administration would. Those

313
00:19:25,080 --> 00:19:26,960
Speaker 1: are going to be your big donors. Those are going

314
00:19:27,040 --> 00:19:30,840
Speaker 1: to be your big billionaire. Fancy advisors and big businesses.

315
00:19:31,080 --> 00:19:35,400
Speaker 1: Love cheap foreign labor, and they hate hiring Americans. Much

316
00:19:35,400 --> 00:19:38,359
Speaker 1: better to grab some foreigner. You can pay pennies on

317
00:19:38,400 --> 00:19:40,960
Speaker 1: the dollar. It's terrible for the country, but they love it.

318
00:19:40,960 --> 00:19:44,840
Speaker 1: It's great for their bottom line. Those people surround Donald Trump,

319
00:19:44,880 --> 00:19:46,919
Speaker 1: they're in his ear more h one b's more h

320
00:19:46,960 --> 00:19:51,119
Speaker 1: one bs, more foreigners, more foreigners, more foreigners. Donald Trump

321
00:19:51,680 --> 00:19:56,719
Speaker 1: deploys his administration himself assent deploys them to the news

322
00:19:57,320 --> 00:20:00,679
Speaker 1: to float this one out there and see how the

323
00:20:00,720 --> 00:20:05,680
Speaker 1: base reacts to it. I believe the anger they are

324
00:20:05,720 --> 00:20:10,360
Speaker 1: hearing today, they are feeling today from Trump hardcores. It's

325
00:20:10,400 --> 00:20:12,400
Speaker 1: not like it's a bunch of never Trumper's out there

326
00:20:12,520 --> 00:20:17,040
Speaker 1: from Trump hardcores. The administration is hearing it. I think

327
00:20:17,119 --> 00:20:20,919
Speaker 1: there is a chance this was a trial balloon that

328
00:20:20,960 --> 00:20:24,000
Speaker 1: you popped with your anger today. That's what I think.

329
00:20:25,240 --> 00:20:32,560
Speaker 1: That's one theory. Now just sit down and get ready

330
00:20:34,280 --> 00:20:37,560
Speaker 1: now for the theory that I think may make you

331
00:20:37,600 --> 00:20:42,280
Speaker 1: feel really bad. It makes me feel very bad, and

332
00:20:42,359 --> 00:20:46,000
Speaker 1: I'm very concerned that this theory is the accurate one.

333
00:20:46,240 --> 00:20:53,520
Speaker 1: All right. Do you remember how odd it was how

334
00:20:53,560 --> 00:20:57,720
Speaker 1: Trump all of a sudden, almost out of nowhere, started

335
00:20:57,760 --> 00:21:01,440
Speaker 1: to shout down and need to discussion of the Jeffrey

336
00:21:01,440 --> 00:21:03,600
Speaker 1: Epstein stuff. This is not going to be about Epstein.

337
00:21:03,640 --> 00:21:06,040
Speaker 1: This is an example to stay with me. You remember

338
00:21:06,080 --> 00:21:08,320
Speaker 1: it was almost out of the blue. We were always

339
00:21:08,320 --> 00:21:11,000
Speaker 1: told the Epstein files are coming. I have the file

340
00:21:11,119 --> 00:21:12,919
Speaker 1: on my desk we're going to release it, We're going

341
00:21:12,960 --> 00:21:16,639
Speaker 1: to expose on this. You remember all of it, and

342
00:21:16,680 --> 00:21:19,440
Speaker 1: there was never a peep really from Trump about it.

343
00:21:20,240 --> 00:21:22,840
Speaker 1: And then out of the blue, out of the blue,

344
00:21:22,920 --> 00:21:26,679
Speaker 1: completely unprompted, we started getting stuff like this, you remember this.

345
00:21:26,720 --> 00:21:28,439
Speaker 4: I say, why there was a minute missing from the

346
00:21:28,480 --> 00:21:30,200
Speaker 4: gel House team on the s.

347
00:21:30,440 --> 00:21:31,520
Speaker 3: Yeah, sure, I'm good.

348
00:21:31,560 --> 00:21:36,280
Speaker 8: I just said, you are you still talking about Jeffrey Epstein?

349
00:21:36,800 --> 00:21:40,479
Speaker 8: This guy's been talked about for years. You're asking, we

350
00:21:40,560 --> 00:21:43,160
Speaker 8: have Texas, we have this, we have all of the things,

351
00:21:44,440 --> 00:21:46,560
Speaker 8: and are people still talking about this guy?

352
00:21:46,600 --> 00:21:51,760
Speaker 3: This creep that is unbelievable. Do you want to waste

353
00:21:51,800 --> 00:21:53,760
Speaker 3: the time? And do you feel like answering?

354
00:21:53,800 --> 00:21:54,440
Speaker 8: I don't mind.

355
00:21:56,200 --> 00:22:00,320
Speaker 1: It wasn't a one off. Almost as there's someone snapped

356
00:22:00,320 --> 00:22:02,119
Speaker 1: their fingers in front of his face that he was

357
00:22:02,920 --> 00:22:05,959
Speaker 1: coming out of or going into hypnosis, and he started

358
00:22:06,000 --> 00:22:08,560
Speaker 1: just to meet to shut up. What are you talking about? Epstein?

359
00:22:08,680 --> 00:22:10,320
Speaker 3: For everyone?

360
00:22:10,400 --> 00:22:14,000
Speaker 1: Hit up, but stop talking about this? Move on?

361
00:22:14,880 --> 00:22:15,400
Speaker 3: Whoa, whoa.

362
00:22:15,520 --> 00:22:17,440
Speaker 1: We were all a little taken aback warres this coming

363
00:22:17,480 --> 00:22:23,640
Speaker 1: from what's going on? Well what was going on? Well,

364
00:22:23,680 --> 00:22:26,639
Speaker 1: here's what was going on. I don't know about the

365
00:22:26,680 --> 00:22:29,560
Speaker 1: specifics of it. But it's obvious now from things we've

366
00:22:29,600 --> 00:22:33,760
Speaker 1: heard and things we've learned what was going on. There

367
00:22:33,920 --> 00:22:38,680
Speaker 1: wasn't necessarily a file, a piece of paper lining out

368
00:22:38,800 --> 00:22:43,000
Speaker 1: every rich, powerful man who was a pedophile. There were

369
00:22:43,040 --> 00:22:45,720
Speaker 1: a bunch of files, a bunch of papers, a bunch

370
00:22:45,760 --> 00:22:49,280
Speaker 1: of flight logs, a bunch of people who either did

371
00:22:49,359 --> 00:22:53,280
Speaker 1: business or nefarious business with Jeffrey Epstein. There's a bunch

372
00:22:53,320 --> 00:22:59,280
Speaker 1: of stuff to it. And Donald Trump reacted that way

373
00:22:59,359 --> 00:23:02,520
Speaker 1: at that time because he knows things before you will

374
00:23:02,520 --> 00:23:04,399
Speaker 1: know them, or before I will know them. That's just

375
00:23:04,800 --> 00:23:08,880
Speaker 1: part of being president. And he was trying to get

376
00:23:09,000 --> 00:23:13,760
Speaker 1: out ahead of something. He was trying to prep the

377
00:23:13,800 --> 00:23:17,240
Speaker 1: ground for something. What is that something? I told you

378
00:23:17,280 --> 00:23:19,360
Speaker 1: what my theory was at the time, and that has

379
00:23:19,400 --> 00:23:23,040
Speaker 1: since proven to at least be partially true. My theory

380
00:23:23,240 --> 00:23:26,600
Speaker 1: was that Donald Trump never did anything inappropriate with these

381
00:23:26,680 --> 00:23:30,760
Speaker 1: young girls. But his name was in those files because

382
00:23:30,800 --> 00:23:33,560
Speaker 1: he runs in the billionaire world, and that's a small world,

383
00:23:33,600 --> 00:23:36,320
Speaker 1: and they were going to have dealings together, and he

384
00:23:36,400 --> 00:23:39,280
Speaker 1: knew his name, his name was coming out, And that

385
00:23:39,400 --> 00:23:40,880
Speaker 1: has turned out to be true. And by the way,

386
00:23:40,960 --> 00:23:43,280
Speaker 1: he didn't do anything wrong with Jeffrey Epstein. There's no

387
00:23:43,359 --> 00:23:47,159
Speaker 1: evidence of that, no indication of that whatsoever. But he

388
00:23:47,240 --> 00:23:50,840
Speaker 1: knew his name was coming. Another part of this theory

389
00:23:50,920 --> 00:23:57,160
Speaker 1: could be he knew that friends' names were coming. Maybe

390
00:23:57,240 --> 00:24:00,280
Speaker 1: in not such a flattering light donald Trump is. Every

391
00:24:00,280 --> 00:24:03,080
Speaker 1: time we see more Trump documents in there, he gets

392
00:24:03,160 --> 00:24:06,479
Speaker 1: more and more exonerated. Maybe there's a friend who doesn't

393
00:24:06,520 --> 00:24:10,080
Speaker 1: look quite as shiny and new as Donald Trump does.

394
00:24:10,920 --> 00:24:14,280
Speaker 1: Maybe there's a business associate, a large donor. Maybe there's

395
00:24:14,320 --> 00:24:19,760
Speaker 1: something Either way, Donald Trump launches into an unprompted tirade

396
00:24:19,800 --> 00:24:22,080
Speaker 1: about it several times. It wasn't just once. He went

397
00:24:22,119 --> 00:24:25,560
Speaker 1: off about it on social media, screamed at any Republican

398
00:24:25,600 --> 00:24:29,439
Speaker 1: who was want to get released. Today. Reportedly, and this

399
00:24:29,520 --> 00:24:33,120
Speaker 1: has been confirmed, I believe by now, Lauren Bobert, congresswoman

400
00:24:33,160 --> 00:24:36,560
Speaker 1: out of Colorado, was called in front of the Boss

401
00:24:36,960 --> 00:24:40,400
Speaker 1: because she's pushing to have the files released. To this day,

402
00:24:40,960 --> 00:24:43,679
Speaker 1: they have started to tell everybody they can about the

403
00:24:43,720 --> 00:24:47,680
Speaker 1: whole thing. Shut up, Why launch into this tirade?

404
00:24:47,720 --> 00:24:51,120
Speaker 7: Why there was a minute missing from the Gelhouse team one?

405
00:24:51,160 --> 00:24:52,679
Speaker 3: Yeah, sir, I just in.

406
00:24:54,760 --> 00:24:58,159
Speaker 8: Are you still talking about Jeffrey Epstein. This guy's been

407
00:24:58,200 --> 00:25:02,680
Speaker 8: talked about for years you're asking, we have texture, what.

408
00:25:02,680 --> 00:25:06,159
Speaker 1: Are you talking about? Shut up and move on. He

409
00:25:06,359 --> 00:25:12,000
Speaker 1: was trying to get out in front of something. Now

410
00:25:13,600 --> 00:25:17,880
Speaker 1: now for the hard part. You remember I told you

411
00:25:18,680 --> 00:25:22,080
Speaker 1: about the people around Donald Trump, and this is going

412
00:25:22,119 --> 00:25:26,359
Speaker 1: to be the same for any presidential administration. What we

413
00:25:26,440 --> 00:25:28,920
Speaker 1: always want, what we crave, at least, what I've always

414
00:25:28,920 --> 00:25:35,000
Speaker 1: craved is, I know it sounds cliche, a people's champion.

415
00:25:36,640 --> 00:25:42,679
Speaker 1: We want somebody who cares about you and me, not

416
00:25:42,840 --> 00:25:50,600
Speaker 1: McDonald's and Facebook and Google and Ford and Chevy. We

417
00:25:50,640 --> 00:25:52,600
Speaker 1: got that and nothing. You don't have to be anti

418
00:25:52,640 --> 00:25:57,720
Speaker 1: business or anti corporation. What we have always craved is

419
00:25:57,800 --> 00:26:03,880
Speaker 1: a people's champion, somebody who cares about us, and Donald

420
00:26:03,920 --> 00:26:09,600
Speaker 1: Trump historically has shown that he does, if not care

421
00:26:09,960 --> 00:26:12,920
Speaker 1: for you or me, doesn't have the stain for you

422
00:26:13,040 --> 00:26:16,479
Speaker 1: and me. Why was that? Do you remember? Do you

423
00:26:16,520 --> 00:26:20,760
Speaker 1: remember the McDonald's photo op. Almost everyone who paid attention

424
00:26:20,840 --> 00:26:23,720
Speaker 1: to the campaign remembers it. Donald Trump was up in

425
00:26:23,760 --> 00:26:26,200
Speaker 1: the polls, He was up in the polls. It looked

426
00:26:26,240 --> 00:26:29,320
Speaker 1: like he was gonna win. Then one day, out of

427
00:26:29,320 --> 00:26:35,120
Speaker 1: the blue, Donald Trump drops his jacket, shows up at McDonald's,

428
00:26:35,920 --> 00:26:39,600
Speaker 1: throws on a McDonald's apron. He's putting fries in the

429
00:26:39,720 --> 00:26:43,320
Speaker 1: McDonald's boxes and he's handing out meals to people through

430
00:26:43,320 --> 00:26:46,680
Speaker 1: the drive through window. Was it a political stunt? Oh,

431
00:26:46,720 --> 00:26:50,960
Speaker 1: my gosh, of course it was. But it was endearing

432
00:26:51,080 --> 00:26:54,159
Speaker 1: in a way, wasn't it. It made it yet, I

433
00:26:54,200 --> 00:26:55,560
Speaker 1: don't care if it was a photo op. I don't

434
00:26:55,560 --> 00:26:57,760
Speaker 1: care if it was a half hour forty five minutes.

435
00:26:58,000 --> 00:27:00,879
Speaker 1: For a half hour forty five minutes, it wasn't above

436
00:27:01,000 --> 00:27:04,280
Speaker 1: doing what you either do now or did in your youth.

437
00:27:04,760 --> 00:27:08,440
Speaker 1: Wasn't above it and wanted to show you he wasn't

438
00:27:08,480 --> 00:27:12,040
Speaker 1: above it. What was that stunt? What was it? In reality?

439
00:27:12,440 --> 00:27:16,840
Speaker 1: That was a I'm your people's champion stunt, That's what

440
00:27:16,960 --> 00:27:19,800
Speaker 1: that was. I'm not too good for you. I'm not

441
00:27:19,880 --> 00:27:22,359
Speaker 1: too good to do the things you've done. That's what

442
00:27:22,480 --> 00:27:28,600
Speaker 1: that was. But presidential administrations have a very difficult time

443
00:27:29,520 --> 00:27:32,919
Speaker 1: staying that way. I'll give you the ugly part of

444
00:27:32,960 --> 00:27:38,800
Speaker 1: my theory. Next, the Jesse Kelly Show. It is the

445
00:27:39,119 --> 00:27:43,200
Speaker 1: Jesse Kelly Show. On a wonderful Wednesday. You can email

446
00:27:43,240 --> 00:27:45,600
Speaker 1: the show your love, your hate, your death threats, whatever

447
00:27:45,720 --> 00:27:50,000
Speaker 1: you would like. Jesse at Jesse kellyshow dot com. So

448
00:27:51,560 --> 00:27:53,960
Speaker 1: now for my bad theory. I had two theories. I

449
00:27:53,960 --> 00:27:56,960
Speaker 1: already gave you the first one. Maybe Trump's floating a

450
00:27:57,000 --> 00:27:59,560
Speaker 1: trial balloon out about how we gotta have more h

451
00:27:59,640 --> 00:28:02,720
Speaker 1: one just to see how you'll react. You've been furious

452
00:28:02,760 --> 00:28:06,480
Speaker 1: all day. Maybe they back off now. Now for the

453
00:28:06,520 --> 00:28:13,280
Speaker 1: other part of it, Donald Trump thinks in grand ways

454
00:28:13,440 --> 00:28:17,160
Speaker 1: men like that do. That's going to be almost impossible

455
00:28:17,160 --> 00:28:20,360
Speaker 1: for someone like me or someone like you to fully understand.

456
00:28:20,440 --> 00:28:23,160
Speaker 1: I'm not a billionaire, I've never been president. My name

457
00:28:23,240 --> 00:28:28,640
Speaker 1: is an unbuildings. It's just guys like that think bigger

458
00:28:29,160 --> 00:28:32,520
Speaker 1: than normal people like us think. You know, Elon Musk,

459
00:28:32,720 --> 00:28:34,280
Speaker 1: you know what my goals are. I want to eat

460
00:28:34,280 --> 00:28:36,760
Speaker 1: red lobster. That's what I want. Elon Musk wants to

461
00:28:36,800 --> 00:28:39,440
Speaker 1: go to Mars. He's currently coming up with a plan

462
00:28:39,520 --> 00:28:42,560
Speaker 1: for humans to live underground in Mars. We don't think

463
00:28:42,560 --> 00:28:46,400
Speaker 1: the same. Donald Trump is one of those guys. Donald

464
00:28:46,400 --> 00:28:49,760
Speaker 1: Trump is in his final run at the presidency. But wait,

465
00:28:49,840 --> 00:28:54,719
Speaker 1: it's actually worse than that. Donald Trump is a year away,

466
00:28:55,520 --> 00:28:59,720
Speaker 1: if we're being realistic, from losing control of the House

467
00:28:59,760 --> 00:29:02,520
Speaker 1: of Presentatives. You know it and I know it.

468
00:29:02,560 --> 00:29:02,880
Speaker 6: He is.

469
00:29:04,560 --> 00:29:07,120
Speaker 1: We will try to mitigate those losses through our hard work.

470
00:29:07,120 --> 00:29:10,280
Speaker 1: Don't get me wrong, but Democrats are probably going to

471
00:29:10,320 --> 00:29:13,400
Speaker 1: have the House in a year, a year from now.

472
00:29:14,920 --> 00:29:20,840
Speaker 1: Donald Trump, like every single American president, wants a signature

473
00:29:20,880 --> 00:29:23,600
Speaker 1: piece of legislation, and they all get one, all of them.

474
00:29:24,240 --> 00:29:27,760
Speaker 1: Maybe some good, some bad, lots of it's bad. Really

475
00:29:27,800 --> 00:29:31,120
Speaker 1: most of it's bad. Obamacare Inflation Reduction Act, you know,

476
00:29:31,160 --> 00:29:37,240
Speaker 1: these stupid, large, horrible pieces of legislation. Donald Trump understands

477
00:29:37,360 --> 00:29:41,200
Speaker 1: that after if I'm correct, if Democrats take the House

478
00:29:41,240 --> 00:29:44,720
Speaker 1: at the midterms, and they likely will, he's not getting

479
00:29:44,920 --> 00:29:49,640
Speaker 1: any legislation of any kind through He's officially a lame

480
00:29:49,720 --> 00:29:52,520
Speaker 1: duck president when it comes to laws for two years.

481
00:29:52,560 --> 00:29:57,320
Speaker 1: He has one year left. Now, what kind of majorities

482
00:29:57,320 --> 00:30:01,320
Speaker 1: do we have. We don't have sixty votes in the Senate.

483
00:30:01,640 --> 00:30:04,560
Speaker 1: That's why the government just shut down. You need sixty

484
00:30:04,640 --> 00:30:07,800
Speaker 1: votes to pass laws. We don't have those sixty votes.

485
00:30:08,480 --> 00:30:10,560
Speaker 1: We don't have a big majority in the House. We

486
00:30:10,600 --> 00:30:14,360
Speaker 1: have a majority, it's a very very thin majority in

487
00:30:14,400 --> 00:30:18,760
Speaker 1: the House. In fact, what reinforces the theory I'm about

488
00:30:18,800 --> 00:30:20,920
Speaker 1: to lay out there is the fact that Donald Trump

489
00:30:21,200 --> 00:30:23,600
Speaker 1: has been screaming at the top of his lungs to

490
00:30:23,840 --> 00:30:27,000
Speaker 1: end the filibuster, which makes a lot of people uncomfortable.

491
00:30:27,040 --> 00:30:29,440
Speaker 1: What if we do that? What will Democrats do? But

492
00:30:29,840 --> 00:30:32,640
Speaker 1: why is this all of a sudden something he's freaking

493
00:30:32,680 --> 00:30:36,000
Speaker 1: out about. I'm here to tell you Donald Trump wants

494
00:30:36,080 --> 00:30:40,760
Speaker 1: a piece of legislation, something he can hang around his

495
00:30:40,840 --> 00:30:44,680
Speaker 1: neck as they carve his face on Mount Rushmore. Don't laugh.

496
00:30:44,840 --> 00:30:48,800
Speaker 1: That's how people like that think they're different than us.

497
00:30:49,080 --> 00:30:52,880
Speaker 1: That's how they think. Donald Trump has a year to

498
00:30:52,920 --> 00:30:59,520
Speaker 1: get that legislation through. So what if this is the case?

499
00:31:00,040 --> 00:31:03,760
Speaker 1: And I want to make sure I shout this so

500
00:31:04,080 --> 00:31:07,600
Speaker 1: we're very clear on it. I have not had rumors

501
00:31:07,840 --> 00:31:11,560
Speaker 1: come into my ear about this. What I am noticing

502
00:31:11,680 --> 00:31:16,680
Speaker 1: is a pattern. I'm noticing a pattern that the administration

503
00:31:16,920 --> 00:31:22,000
Speaker 1: is trying to sell foreign labor. Christy Nolme's talking about it,

504
00:31:22,040 --> 00:31:24,880
Speaker 1: Donald Trump's talking about it, Scott Pissent's talking about it.

505
00:31:26,200 --> 00:31:32,320
Speaker 1: My theory is he wants an immigration bill and it's

506
00:31:33,360 --> 00:31:37,760
Speaker 1: not going to be one. You like, what kind of

507
00:31:37,920 --> 00:31:44,520
Speaker 1: immigration bill could possibly pass the House with such a

508
00:31:44,600 --> 00:31:48,760
Speaker 1: narrow majority and pass the Senate when we are going

509
00:31:48,840 --> 00:31:53,160
Speaker 1: to need Democrat votes for it. What sort of an

510
00:31:53,160 --> 00:31:57,000
Speaker 1: immigration bill would it be? Well, when I said immigration bill,

511
00:31:57,320 --> 00:32:00,840
Speaker 1: I hope you weren't thinking fifty thousand more ice agents

512
00:32:00,920 --> 00:32:03,880
Speaker 1: and one hundred foot wall with the moat and alligators

513
00:32:03,880 --> 00:32:06,800
Speaker 1: on the border. Oh, there may be just a little

514
00:32:06,840 --> 00:32:09,720
Speaker 1: bit of that. But if you're going to get the

515
00:32:09,760 --> 00:32:13,120
Speaker 1: demonic communists to sign on to any kind of an

516
00:32:13,160 --> 00:32:19,360
Speaker 1: immigration bill, it's going to be horrific. It's going to

517
00:32:19,480 --> 00:32:22,440
Speaker 1: contain things that are going to make you want to

518
00:32:22,520 --> 00:32:26,760
Speaker 1: vomit in a trash. Can My bad theory, and I

519
00:32:26,920 --> 00:32:31,840
Speaker 1: pray to God I'm wrong, is that Trump is currently

520
00:32:31,960 --> 00:32:36,200
Speaker 1: prepping the ground for an immigration bill that is going

521
00:32:36,240 --> 00:32:40,560
Speaker 1: to make you want to punch through a window. I

522
00:32:40,600 --> 00:32:45,080
Speaker 1: notice patterns. You notice patterns. We're not stupid people. In

523
00:32:45,520 --> 00:32:48,840
Speaker 1: a twenty four hour span, all of these things happen.

524
00:32:49,000 --> 00:32:51,320
Speaker 5: H one B visa thing will not be a big

525
00:32:51,560 --> 00:32:53,720
Speaker 5: priority for your administration because if you want to raise

526
00:32:53,760 --> 00:32:57,080
Speaker 5: wages for American workers, you can't flood the country with

527
00:32:57,280 --> 00:32:58,840
Speaker 5: tens of thousands or hundreds of hours.

528
00:33:00,080 --> 00:33:02,520
Speaker 3: So do have to bring in talent when.

529
00:33:02,360 --> 00:33:03,360
Speaker 5: We're gont talent?

530
00:33:03,400 --> 00:33:04,720
Speaker 3: And I know you don't.

531
00:33:04,760 --> 00:33:05,680
Speaker 5: We don't have talent in me.

532
00:33:06,000 --> 00:33:08,440
Speaker 2: Now, you don't have you don't have certain talents, and

533
00:33:08,480 --> 00:33:10,840
Speaker 2: you have to people have to learn. You can't take

534
00:33:10,880 --> 00:33:14,200
Speaker 2: people off an unipplied like an unemployment line and say

535
00:33:14,440 --> 00:33:15,720
Speaker 2: I'm going to put you into a factory.

536
00:33:15,840 --> 00:33:16,840
Speaker 3: We're going to make missiles.

537
00:33:18,880 --> 00:33:21,560
Speaker 6: This now, we're going to keep using our visa programs.

538
00:33:21,560 --> 00:33:23,320
Speaker 6: We're just going to make sure that they have integrity,

539
00:33:23,640 --> 00:33:26,240
Speaker 6: that we're actually doing the vetting of the individuals who

540
00:33:26,240 --> 00:33:27,960
Speaker 6: come into this country, that they want to be here

541
00:33:28,000 --> 00:33:30,960
Speaker 6: for the right reasons, that they're not supporters of terrorists

542
00:33:31,360 --> 00:33:34,400
Speaker 6: and organizations that hate America. And that's what I think

543
00:33:34,480 --> 00:33:37,360
Speaker 6: is so remarkable is under the Trump administration, we've sped

544
00:33:37,440 --> 00:33:40,560
Speaker 6: up our process and added integrity to the visa programs,

545
00:33:40,920 --> 00:33:43,600
Speaker 6: to green cards, to all of that. But also more

546
00:33:43,640 --> 00:33:47,480
Speaker 6: people are becoming naturalized under this administration than ever before.

547
00:33:47,680 --> 00:33:49,360
Speaker 6: More people are becoming citizens.

548
00:33:50,120 --> 00:33:53,520
Speaker 7: And this you're going to see some substantial announcements over

549
00:33:53,560 --> 00:33:56,040
Speaker 7: the next couple of days in terms of things we

550
00:33:56,800 --> 00:34:00,880
Speaker 7: don't grow here in the United States. Being one of.

551
00:34:00,840 --> 00:34:03,600
Speaker 1: Them, banana, that's the wrong one.

552
00:34:03,880 --> 00:34:07,680
Speaker 7: This again, we can't snap our fingers and say you're

553
00:34:07,720 --> 00:34:10,319
Speaker 7: going to learn how to build ships overnight. We want

554
00:34:10,320 --> 00:34:14,160
Speaker 7: to bring semiconductor industry back to the US. They're going

555
00:34:14,239 --> 00:34:18,319
Speaker 7: to be big facilities in Arizona. So I think the

556
00:34:18,360 --> 00:34:23,120
Speaker 7: president's vision here is to bring in overseas workers where

557
00:34:23,160 --> 00:34:25,560
Speaker 7: these jobs went to have skills, who have the skills

558
00:34:25,880 --> 00:34:30,399
Speaker 7: three five, seven years to train the US workers, then

559
00:34:30,640 --> 00:34:33,640
Speaker 7: they can go home the US workers fully takeover.

560
00:34:34,400 --> 00:34:38,920
Speaker 1: I think interests around Donald Trump who are not people's champions,

561
00:34:39,680 --> 00:34:42,279
Speaker 1: I think they are in his ear. I think every

562
00:34:42,280 --> 00:34:46,560
Speaker 1: time he proposes reductions to illegal immigration and legal immigration,

563
00:34:46,800 --> 00:34:50,920
Speaker 1: his phone blows up with billionaires telling him how badly

564
00:34:51,040 --> 00:34:56,600
Speaker 1: they need twenty thousand more Indians and not American workers

565
00:34:56,640 --> 00:35:00,239
Speaker 1: at all. And I think in an effort to get

566
00:35:00,239 --> 00:35:03,320
Speaker 1: a piece of legislation passed, maybe it won't be legislation,

567
00:35:03,400 --> 00:35:07,440
Speaker 1: maybe it'd be some disastrous just executive order. I think

568
00:35:07,480 --> 00:35:10,719
Speaker 1: he's planning on doing something that's probably going to make

569
00:35:10,719 --> 00:35:13,560
Speaker 1: you angry. There I'm gonna drop it, and I'm gonna

570
00:35:13,560 --> 00:35:16,040
Speaker 1: pray I'm wrong. We're gonna move on and hopefully not

571
00:35:16,160 --> 00:35:19,239
Speaker 1: discuss this anymore. Before we do that, I want to

572
00:35:19,239 --> 00:35:23,080
Speaker 1: talk to you. Speaking of Americans, I tell you about

573
00:35:23,120 --> 00:35:29,360
Speaker 1: Burna launchers. Did you know their hand assembled in Fort Wayne, Indiana?

574
00:35:29,480 --> 00:35:31,759
Speaker 1: Did you know that not only will these things save

575
00:35:31,840 --> 00:35:36,000
Speaker 1: your life, they've already saved lives of my listeners these things.

576
00:35:36,640 --> 00:35:40,760
Speaker 1: They have worked very very hard to make sure they

577
00:35:40,800 --> 00:35:44,600
Speaker 1: source almost every part of it in America. It's not

578
00:35:44,680 --> 00:35:48,239
Speaker 1: just that their hand assembled here at Their goal is

579
00:35:48,239 --> 00:35:52,359
Speaker 1: one hundred percent every component sourced in America. How many

580
00:35:52,400 --> 00:35:55,160
Speaker 1: companies out there are making an effort like that to

581
00:35:55,200 --> 00:35:59,279
Speaker 1: care about American jobs, American work. Berna is legal in

582
00:35:59,320 --> 00:36:02,640
Speaker 1: all fifty states. It'll stop a bad man from hurting you,

583
00:36:02,920 --> 00:36:07,359
Speaker 1: very badly. Legal, no permit required. All you have to

584
00:36:07,400 --> 00:36:12,200
Speaker 1: do is go to burna dot com slash jesse. That's

585
00:36:12,280 --> 00:36:17,279
Speaker 1: b y RNA. Burna dot com slash jesse. We'll be

586
00:36:17,320 --> 00:36:17,520
Speaker 1: back