1
00:00:02,520 --> 00:00:05,360
Speaker 1: Ahead on an American Sunrise early edition. The multi front

2
00:00:05,400 --> 00:00:09,680
Speaker 1: attack on the US military chain of command continues. The

3
00:00:09,760 --> 00:00:13,240
Speaker 1: effort to accuse Secretary of Warpete Hegseth with war crimes

4
00:00:13,760 --> 00:00:15,920
Speaker 1: in connection to our attacks on drug boats in the

5
00:00:15,960 --> 00:00:18,880
Speaker 1: Caribbean is the latest, but they've already lost that battle.

6
00:00:19,040 --> 00:00:22,400
Speaker 1: President Trump is defending heg Seth, and the facts against

7
00:00:22,520 --> 00:00:27,160
Speaker 1: him don't add up. It's now a full blown scandal

8
00:00:27,200 --> 00:00:30,640
Speaker 1: in Minnesota, as hundreds of government workers in that state

9
00:00:31,160 --> 00:00:34,240
Speaker 1: say they warned Governor Tim Wallas about federal aid money

10
00:00:34,280 --> 00:00:38,159
Speaker 1: being stolen by the Somali community. They even warned Kamala

11
00:00:38,200 --> 00:00:40,760
Speaker 1: Harris about it after she chose Waltz as her running

12
00:00:40,760 --> 00:00:46,239
Speaker 1: mate last year. Nothing changed. You know, it's election day

13
00:00:46,320 --> 00:00:49,080
Speaker 1: right now in deep red Tennessee, but the special election

14
00:00:49,640 --> 00:00:52,640
Speaker 1: to fill a vacant house seat representing the Nashville area

15
00:00:52,760 --> 00:00:55,200
Speaker 1: is a dead heat according to the polls. Will a

16
00:00:55,320 --> 00:01:01,360
Speaker 1: radical Democrat pull off a big upset? Releases the results

17
00:01:01,400 --> 00:01:04,840
Speaker 1: of President Trump's latest MRI showing the President to be

18
00:01:04,880 --> 00:01:06,760
Speaker 1: in very good health for an eighty year old man.

19
00:01:07,360 --> 00:01:10,440
Speaker 1: This comes as the Democrats and their mainstream media minions

20
00:01:10,959 --> 00:01:16,080
Speaker 1: try to suggest Trump is not well and isn't owning

21
00:01:16,080 --> 00:01:18,240
Speaker 1: the Mets enough of a long shot bet as it

22
00:01:18,319 --> 00:01:21,520
Speaker 1: is New York State Awards Mets owner Steve Cohen the

23
00:01:21,600 --> 00:01:24,520
Speaker 1: right to build a massive casino next to the Mets ballpark.

24
00:01:25,000 --> 00:01:28,480
Speaker 1: It's yet another example of the unholy marriage between sports

25
00:01:28,480 --> 00:01:32,560
Speaker 1: and gambling and the cynicism politicians have about the American public.

26
00:01:33,000 --> 00:01:35,280
Speaker 1: American Sunrise Early Edition begins.

27
00:01:35,000 --> 00:01:44,080
Speaker 2: Now, Welcome to American Sunrise Early Edition. The show we're faith,

28
00:01:44,280 --> 00:01:47,720
Speaker 2: freedom and the values that built this nation takes centers.

29
00:01:47,400 --> 00:01:49,600
Speaker 1: To your good thiefs and bad deaths. That's how we're

30
00:01:49,600 --> 00:01:50,720
Speaker 1: gonna judge you.

31
00:01:51,160 --> 00:01:54,040
Speaker 2: Join host Jake Novak as he breaks down the stories

32
00:01:54,040 --> 00:01:55,279
Speaker 2: that mat He will.

33
00:01:55,160 --> 00:01:57,840
Speaker 1: Be letting the public know regularly what we have found.

34
00:01:57,920 --> 00:02:03,960
Speaker 2: American Sunrise Early with your host Jake Novak starts now.

35
00:02:09,440 --> 00:02:12,080
Speaker 1: Welcome to a Tuesday here in American Sunrise Early Edition.

36
00:02:12,520 --> 00:02:14,320
Speaker 1: A lot of stuff to get to in our program,

37
00:02:14,400 --> 00:02:16,560
Speaker 1: so let's get right to it with Jarrett Stepman. He's

38
00:02:16,560 --> 00:02:20,000
Speaker 1: a calumnist for the Daily Signal and Jarrett, I'm annoyed

39
00:02:20,040 --> 00:02:23,960
Speaker 1: to even have to entertain this entire line of narrative.

40
00:02:24,040 --> 00:02:26,760
Speaker 1: But the mainstream media and the Democrats have brought us here,

41
00:02:26,840 --> 00:02:29,560
Speaker 1: and you know, silence sort of equals agreement, so we're

42
00:02:29,560 --> 00:02:32,000
Speaker 1: not going to be silent here. But the media is

43
00:02:32,080 --> 00:02:34,919
Speaker 1: totally all in with the Democrats on what I believe

44
00:02:35,000 --> 00:02:39,800
Speaker 1: is an incredibly misguided but probably funded decision to fully

45
00:02:40,040 --> 00:02:44,960
Speaker 1: defend drug cartels in Venezuela. Here's how President Trump, though,

46
00:02:45,040 --> 00:02:47,799
Speaker 1: is defending what has now turned out to be completely

47
00:02:47,800 --> 00:02:51,079
Speaker 1: false accusations about Pete Heggs at the Secretary of War

48
00:02:51,160 --> 00:02:55,000
Speaker 1: deliberately targeting survivors and not a drug boat of an

49
00:02:55,080 --> 00:02:57,399
Speaker 1: initial attack. Listen to what President Trump has to say.

50
00:02:57,560 --> 00:02:59,480
Speaker 3: I don't know that that happened.

51
00:03:00,080 --> 00:03:03,600
Speaker 4: He said, he did not what bed it, even though

52
00:03:03,760 --> 00:03:07,040
Speaker 4: what people were talking about. So we'll look at we'll

53
00:03:07,040 --> 00:03:09,560
Speaker 4: look into it. But no, I wouldn't have wanted a

54
00:03:10,120 --> 00:03:14,480
Speaker 4: second strike. Well, first spike was very legal and was fine,

55
00:03:14,560 --> 00:03:17,040
Speaker 4: and if there were two people around, but Pete said

56
00:03:17,040 --> 00:03:17,760
Speaker 4: that didn't happen.

57
00:03:19,320 --> 00:03:20,919
Speaker 1: And I'm seeing some things in the New York Times

58
00:03:20,919 --> 00:03:22,920
Speaker 1: now admitting that they didn't have any source for that,

59
00:03:23,120 --> 00:03:25,400
Speaker 1: and the Washington Post, but jared, if there was a

60
00:03:25,440 --> 00:03:28,320
Speaker 1: second strike, it was on the vote. And by the way,

61
00:03:28,560 --> 00:03:30,960
Speaker 1: in Afghanistan, we did second strikes all the time to

62
00:03:31,000 --> 00:03:33,959
Speaker 1: eliminate terrorists. This is to me one of the very

63
00:03:34,000 --> 00:03:37,280
Speaker 1: most misguided attacks on the Trump on the Trump administration.

64
00:03:37,320 --> 00:03:39,880
Speaker 1: People want to see these drug dealers eliminated and their

65
00:03:39,920 --> 00:03:41,600
Speaker 1: drugs stopped from coming into the country.

66
00:03:42,360 --> 00:03:45,160
Speaker 5: Yeah, it's very much like the the Maryland Man story,

67
00:03:45,200 --> 00:03:49,040
Speaker 5: the Kilmar Abrego Garcia, where ultimately Democrats are defending something

68
00:03:49,080 --> 00:03:52,720
Speaker 5: that the vast majority of Americans find absolutely reprehensible. These

69
00:03:53,360 --> 00:03:55,120
Speaker 5: drugs and aar coics that are being brought into the

70
00:03:55,200 --> 00:03:58,560
Speaker 5: United States has killed so many Americans over the last decade,

71
00:03:58,600 --> 00:04:01,120
Speaker 5: and of course Venezuela has been a huge part of that.

72
00:04:01,160 --> 00:04:03,920
Speaker 5: They very intentionally wanted to do damage to the to

73
00:04:03,960 --> 00:04:06,320
Speaker 5: the health and wellbeing of the American people. They're very

74
00:04:06,400 --> 00:04:09,560
Speaker 5: happy to aid these these these drug boats and these

75
00:04:09,560 --> 00:04:13,280
Speaker 5: these narcotics traffickers. So yeah, it's quite a position Democrats

76
00:04:13,320 --> 00:04:15,960
Speaker 5: have put themselves in. They want to say that they

77
00:04:16,000 --> 00:04:18,880
Speaker 5: are standing for the law and for order, but at

78
00:04:18,920 --> 00:04:21,120
Speaker 5: the end of the day, I mean, of course, in

79
00:04:21,160 --> 00:04:23,160
Speaker 5: this case, I think that a lot of the facts

80
00:04:23,160 --> 00:04:26,160
Speaker 5: in the case are going to exonerate Pete haiks At

81
00:04:26,160 --> 00:04:28,880
Speaker 5: the Secretary of War, And the reality is they're coming

82
00:04:28,920 --> 00:04:31,960
Speaker 5: to the defense of people that I think most people

83
00:04:32,000 --> 00:04:34,640
Speaker 5: across the globe see as reprehensible as terrible people who've

84
00:04:34,680 --> 00:04:38,120
Speaker 5: done damage with too many So where Democrats are ultimately

85
00:04:38,120 --> 00:04:39,920
Speaker 5: going at this, I think they want to, of course,

86
00:04:40,760 --> 00:04:43,840
Speaker 5: create dissension within the ranks in the military. I think

87
00:04:43,880 --> 00:04:45,560
Speaker 5: they want to cause a lot of damage with this.

88
00:04:45,560 --> 00:04:48,000
Speaker 5: This is part of their hashtag resistance. They played this,

89
00:04:48,200 --> 00:04:51,040
Speaker 5: They did this playbook last time in the first Trump presidency.

90
00:04:51,080 --> 00:04:52,839
Speaker 5: They want to do it again. They want to damage

91
00:04:52,839 --> 00:04:55,880
Speaker 5: this presidency, even if that means hurting the military in

92
00:04:55,880 --> 00:04:57,320
Speaker 5: our operations around the globe.

93
00:04:58,720 --> 00:05:02,080
Speaker 1: Yeah, I I think that there's an extra caveat to

94
00:05:02,120 --> 00:05:04,120
Speaker 1: this though, I'm sorry I think that. First of all,

95
00:05:04,160 --> 00:05:05,800
Speaker 1: I think some people are being paid off to do this.

96
00:05:05,839 --> 00:05:09,320
Speaker 1: The drug cartels do have money headline, and there's also

97
00:05:09,360 --> 00:05:11,040
Speaker 1: something else going on. I think that this is more

98
00:05:11,080 --> 00:05:13,640
Speaker 1: than just resisting Trump. I think now we have a

99
00:05:13,640 --> 00:05:17,680
Speaker 1: full effort to undermine the country and completely really get

100
00:05:17,720 --> 00:05:19,760
Speaker 1: it from within, attack it from within. Now here's what

101
00:05:19,800 --> 00:05:21,200
Speaker 1: I want you to listen to. I have two sound

102
00:05:21,200 --> 00:05:23,440
Speaker 1: bites that I'm going to play, but I'll interrupt in

103
00:05:23,480 --> 00:05:27,039
Speaker 1: between them. But there's an attempt to second guess again

104
00:05:27,160 --> 00:05:30,320
Speaker 1: our attacks on drug boats. This will of course spread

105
00:05:30,320 --> 00:05:32,800
Speaker 1: to our attacks on full on terras as well. The

106
00:05:32,839 --> 00:05:36,640
Speaker 1: new poster boy for spreading that moral confusion I'll call

107
00:05:36,680 --> 00:05:39,720
Speaker 1: it as of course, Senator Mark Kelly, and he telegraphed

108
00:05:39,760 --> 00:05:42,000
Speaker 1: to us that he would be doing this before that

109
00:05:42,080 --> 00:05:44,560
Speaker 1: seditious sixth video that everyone's been talking about from a

110
00:05:44,560 --> 00:05:46,520
Speaker 1: couple of weeks ago. This is from way back in

111
00:05:46,560 --> 00:05:50,880
Speaker 1: October on ABC where he's really trying to throw a

112
00:05:50,920 --> 00:05:53,640
Speaker 1: lot of shade over attacking the drug boats. Check this out.

113
00:05:53,839 --> 00:05:56,480
Speaker 6: You don't move a battle group all the way from

114
00:05:56,520 --> 00:05:58,960
Speaker 6: where it was to the Caribbean unless you're planning on

115
00:05:59,160 --> 00:06:02,440
Speaker 6: either to intimidate the country, which is rather intimidating, or

116
00:06:02,480 --> 00:06:06,240
Speaker 6: you're going to start conducting combat operations in Venezuela. And

117
00:06:06,279 --> 00:06:09,479
Speaker 6: this doesn't make the United States more safe.

118
00:06:09,680 --> 00:06:11,200
Speaker 1: This makes us less safe.

119
00:06:11,640 --> 00:06:15,479
Speaker 6: I mean, starting a war against Venezuela over what is

120
00:06:15,520 --> 00:06:19,920
Speaker 6: a law enforcement action does not make any sense.

121
00:06:20,920 --> 00:06:23,160
Speaker 1: Now, Jared, before you comment on that, I want you

122
00:06:23,200 --> 00:06:25,360
Speaker 1: to listen to this. There's nothing new under the sun,

123
00:06:25,839 --> 00:06:28,839
Speaker 1: this kind of discouraging message, and oh, doing something to

124
00:06:28,880 --> 00:06:31,080
Speaker 1: protect America is actually going to make those troops and

125
00:06:31,080 --> 00:06:33,520
Speaker 1: the rest of us less safe. Really, rang a bell

126
00:06:33,600 --> 00:06:36,120
Speaker 1: in my head. I've heard this before. I want you

127
00:06:36,160 --> 00:06:38,880
Speaker 1: to check out a broadcast that I found of the

128
00:06:38,920 --> 00:06:43,400
Speaker 1: infamous messages from Tokyo Rose in nineteen forty four. Want

129
00:06:43,440 --> 00:06:45,080
Speaker 1: you to listen to it and see if anything sounds

130
00:06:45,120 --> 00:06:46,760
Speaker 1: familiar to you. Check it out.

131
00:06:48,320 --> 00:06:53,760
Speaker 7: This is your Japanese. A voice of truth reaches out

132
00:06:53,800 --> 00:06:58,320
Speaker 7: to you from the peace for light as always, with

133
00:06:58,560 --> 00:07:04,040
Speaker 7: no day, also with sorrow because of what your superiors

134
00:07:04,040 --> 00:07:07,760
Speaker 7: are making you through this morning. They are forcing you through.

135
00:07:07,760 --> 00:07:15,560
Speaker 7: It's hamps the impossible. I guess impossible. I fear is

136
00:07:15,640 --> 00:07:19,160
Speaker 7: impossible for you to dis launch our forces on a ROUTI.

137
00:07:22,440 --> 00:07:24,560
Speaker 1: I mean, Jared, it's the same m. Really, maybe we

138
00:07:24,560 --> 00:07:28,120
Speaker 1: should call Mark Kelly Caracas. Kelly and Tokyo Rose can

139
00:07:28,120 --> 00:07:31,600
Speaker 1: be buddies. Don't don't I'm angry, but your superiors are

140
00:07:31,880 --> 00:07:34,640
Speaker 1: ordering you to do. Boy, that sounds a lot like

141
00:07:34,680 --> 00:07:38,120
Speaker 1: the question orders thing that Kelly talks about, doesn't it? Yeah?

142
00:07:38,160 --> 00:07:38,440
Speaker 1: It does.

143
00:07:38,520 --> 00:07:40,360
Speaker 5: That's that's a great find, and I think it's a

144
00:07:40,400 --> 00:07:43,400
Speaker 5: it's an apt comparison in this case. I think what

145
00:07:43,440 --> 00:07:46,360
Speaker 5: he's doing right now is very very dangerous. It's it's

146
00:07:46,360 --> 00:07:48,720
Speaker 5: and really it's putting a lot of pressure on a

147
00:07:48,960 --> 00:07:52,400
Speaker 5: regular servicemen who are just doing their jobs in the military,

148
00:07:52,480 --> 00:07:56,160
Speaker 5: who are falling over He wants to create uh, dissension

149
00:07:56,560 --> 00:07:59,200
Speaker 5: within the ranks. I mean, that's when President Trump, uh

150
00:07:59,280 --> 00:08:01,640
Speaker 5: you know said people said he went overboard and saying

151
00:08:01,680 --> 00:08:05,080
Speaker 5: that word death in that social media post. What he's

152
00:08:05,080 --> 00:08:08,080
Speaker 5: saying is for the regular guys who are fighting the

153
00:08:08,080 --> 00:08:13,040
Speaker 5: military to disobey orders at any moment has very very

154
00:08:13,040 --> 00:08:18,080
Speaker 5: serious repercussions. That's to be taken extremely seriously. Is Mark Kelly,

155
00:08:18,240 --> 00:08:20,040
Speaker 5: what's he going to do about that? By making the

156
00:08:20,080 --> 00:08:24,040
Speaker 5: blanket statements about defying illegal orders that he can't fully define,

157
00:08:24,680 --> 00:08:27,640
Speaker 5: he's creating that kind of chaos, and he's obviously putting

158
00:08:27,640 --> 00:08:31,200
Speaker 5: pressure because he doesn't probably like what we're doing in Venezuela.

159
00:08:31,240 --> 00:08:33,480
Speaker 5: He doesn't like the fact that we're putting pressure on

160
00:08:33,520 --> 00:08:36,040
Speaker 5: this regime that the Left has liked for a long

161
00:08:36,040 --> 00:08:38,760
Speaker 5: time and defended. Has been a terrible, vile regime in

162
00:08:38,800 --> 00:08:41,520
Speaker 5: the New World, has caused a great deal of damage

163
00:08:41,559 --> 00:08:43,920
Speaker 5: to the United States. So yeah, I think this is

164
00:08:43,960 --> 00:08:48,720
Speaker 5: all part of a concerned strategy to defend Venezuela and

165
00:08:48,760 --> 00:08:50,640
Speaker 5: to create as much chaos here as possible.

166
00:08:50,640 --> 00:08:51,280
Speaker 1: It's terrible.

167
00:08:52,320 --> 00:08:52,520
Speaker 4: Yeah.

168
00:08:52,559 --> 00:08:56,400
Speaker 1: Well, speaking of moral confusion, Jared, we had Luigi MANGIONI.

169
00:08:56,440 --> 00:08:58,480
Speaker 1: Who I mean, do we really have to say he's

170
00:08:58,520 --> 00:09:00,760
Speaker 1: the alleged shooter of the United health Care CEO. He

171
00:09:01,080 --> 00:09:03,360
Speaker 1: openly admitted it many times, as lawyers are trying to

172
00:09:03,360 --> 00:09:05,360
Speaker 1: play some games now. But he did have a court

173
00:09:05,360 --> 00:09:09,680
Speaker 1: appearance yesterday, and again his cheering fans were out there.

174
00:09:09,720 --> 00:09:11,920
Speaker 1: I mean, can we I mean, can we get to

175
00:09:11,960 --> 00:09:13,520
Speaker 1: the bottom of this? I mean, I really feel like

176
00:09:13,559 --> 00:09:16,280
Speaker 1: our country is in serious, serious trouble. When a guy

177
00:09:16,320 --> 00:09:19,480
Speaker 1: who guns down a defenseless man on the street is

178
00:09:19,480 --> 00:09:21,640
Speaker 1: a hero to a bunch of young people in New

179
00:09:21,679 --> 00:09:23,680
Speaker 1: York City or anywhere, this is really scary to me.

180
00:09:25,200 --> 00:09:29,880
Speaker 5: He really set off a wave of assassination culture in America.

181
00:09:30,040 --> 00:09:34,199
Speaker 5: Maybe this was bubbling for a long time. It's very clear,

182
00:09:34,280 --> 00:09:37,880
Speaker 5: especially among some of the younger cohorts, that this is

183
00:09:37,920 --> 00:09:42,040
Speaker 5: becoming a regular part of politics, and Luigi really set

184
00:09:42,040 --> 00:09:44,320
Speaker 5: that off. And I do think it's not the fact

185
00:09:44,360 --> 00:09:47,760
Speaker 5: that there are killers. There are people who will commit assassinations.

186
00:09:47,800 --> 00:09:50,680
Speaker 5: What's been disturbing in almost all these cases is how

187
00:09:50,720 --> 00:09:54,199
Speaker 5: many regular Americans have been okay with this, have been

188
00:09:55,200 --> 00:09:57,719
Speaker 5: outright have said that they think what he did was

189
00:09:57,800 --> 00:10:01,120
Speaker 5: moral and right have many have cheered this on. That's

190
00:10:01,240 --> 00:10:03,560
Speaker 5: more disturbing to the fact that you have a few

191
00:10:03,559 --> 00:10:06,120
Speaker 5: people in society who are willing to commit acts of violence,

192
00:10:06,160 --> 00:10:07,959
Speaker 5: that you have a huge amount of support for it

193
00:10:08,200 --> 00:10:11,480
Speaker 5: among many people who you would consider to be normal people.

194
00:10:11,559 --> 00:10:14,160
Speaker 5: And that's what I see in each one of these cases,

195
00:10:14,200 --> 00:10:17,080
Speaker 5: whether it's the killer of Charlie Kirk, whether it's in

196
00:10:17,080 --> 00:10:20,640
Speaker 5: this case, you see masses of people on social media saying, well,

197
00:10:20,720 --> 00:10:25,120
Speaker 5: actually I support this, yay good. That's horrible. That's what

198
00:10:25,200 --> 00:10:27,040
Speaker 5: destroys countries from within.

199
00:10:28,280 --> 00:10:32,200
Speaker 1: Yeah, I guess on a slightly lighter note, but also

200
00:10:32,360 --> 00:10:34,800
Speaker 1: still kind of scary. Jared, you have a piece out

201
00:10:34,840 --> 00:10:37,719
Speaker 1: now in the Daily Signal talking about this whole affordability

202
00:10:37,760 --> 00:10:41,600
Speaker 1: crisis and how it's kind of become a political football.

203
00:10:41,600 --> 00:10:42,839
Speaker 1: Tell us a little bit more about that.

204
00:10:43,720 --> 00:10:46,040
Speaker 5: Yeah, I kind of want to correct the record on

205
00:10:46,080 --> 00:10:48,000
Speaker 5: some of this, because it is something that a lot

206
00:10:48,040 --> 00:10:51,320
Speaker 5: of Democrats, those in blue states, are trying to use

207
00:10:51,320 --> 00:10:55,040
Speaker 5: against the Trump administration. While I would say that Trump

208
00:10:55,080 --> 00:10:57,240
Speaker 5: does have a big job in getting sort of the

209
00:10:57,720 --> 00:11:01,480
Speaker 5: macroeconomy back to where people thought it should be back

210
00:11:01,520 --> 00:11:04,040
Speaker 5: in twenty nineteen when he was president. Back then, I

211
00:11:04,080 --> 00:11:07,800
Speaker 5: will say, if Democrats want to make affordability the central aspect,

212
00:11:07,800 --> 00:11:10,560
Speaker 5: the central plank heading into the next year, I think

213
00:11:10,600 --> 00:11:13,040
Speaker 5: Republicans have a very good response to it. Just look

214
00:11:13,080 --> 00:11:16,560
Speaker 5: at the difference between red states and blue states on affordability.

215
00:11:16,600 --> 00:11:20,240
Speaker 5: The fact is people are leaving places like California, places

216
00:11:20,320 --> 00:11:23,199
Speaker 5: like New York where there is very little affordability. A

217
00:11:23,240 --> 00:11:25,240
Speaker 5: lot of studies have shown that there's more than a

218
00:11:25,280 --> 00:11:27,560
Speaker 5: ten percent gap between red states and blue states. And

219
00:11:27,600 --> 00:11:31,920
Speaker 5: it's because specifically of the policies, because of the green regulations,

220
00:11:31,960 --> 00:11:34,880
Speaker 5: because of the taxes in these states, that the high

221
00:11:34,920 --> 00:11:37,400
Speaker 5: cost of gas at the pump. These are all things

222
00:11:37,440 --> 00:11:39,640
Speaker 5: that are tied to Democrat policies, and when they get

223
00:11:39,679 --> 00:11:42,080
Speaker 5: in power, they just double down on them. They double

224
00:11:42,160 --> 00:11:44,280
Speaker 5: down at them at the national level. So I do

225
00:11:44,320 --> 00:11:47,240
Speaker 5: think that the writing in general has a good argument

226
00:11:47,640 --> 00:11:49,880
Speaker 5: on this issue. Now, maybe it needs to be sharpened

227
00:11:50,160 --> 00:11:52,360
Speaker 5: in the next year, but I think that the proof

228
00:11:52,440 --> 00:11:54,800
Speaker 5: is in is in the statistics. It's in how people

229
00:11:54,800 --> 00:11:57,480
Speaker 5: have voted with their feet over the last decade, and

230
00:11:57,520 --> 00:11:59,080
Speaker 5: I think that is a very strong argument.

231
00:12:00,160 --> 00:12:02,240
Speaker 1: Yeah, and you know, I'm glad you mentioned gas prices

232
00:12:02,240 --> 00:12:04,120
Speaker 1: because I just checked. I've been waiting all night for

233
00:12:04,160 --> 00:12:07,600
Speaker 1: this update. The national average for one gallon of gasoline

234
00:12:07,640 --> 00:12:10,680
Speaker 1: right now is below three dollars. We broke below three.

235
00:12:10,679 --> 00:12:12,839
Speaker 1: It's two ninety nine a gallon. So if you're in

236
00:12:12,880 --> 00:12:15,840
Speaker 1: California paying almost five bucks, or some of these other states,

237
00:12:16,320 --> 00:12:18,240
Speaker 1: just take a look at that and understand how much

238
00:12:18,280 --> 00:12:20,480
Speaker 1: they are gouging you. Jared Stepman from the Daily Signal,

239
00:12:20,640 --> 00:12:22,160
Speaker 1: thank you so much for joining us. Have a great

240
00:12:22,160 --> 00:12:26,360
Speaker 1: rest of your week. Thank you, Jake. Minnesota Governor Tim

241
00:12:26,400 --> 00:12:28,760
Speaker 1: Waltz is in the midst of a full blown scandal

242
00:12:28,840 --> 00:12:31,760
Speaker 1: right now. Some are calling for his resignation and they're

243
00:12:31,800 --> 00:12:35,800
Speaker 1: not even Republicans. But first, let's get a preview of

244
00:12:35,800 --> 00:12:38,440
Speaker 1: that special election for a vacant House seat out of

245
00:12:38,520 --> 00:12:43,040
Speaker 1: deep red Tennessee. It's Republican Matt Van Epps versus former

246
00:12:43,120 --> 00:12:45,840
Speaker 1: Carl Alarm. That's what I call her, former Carl Alarm

247
00:12:45,880 --> 00:12:48,840
Speaker 1: aften ben. American Center Rise early edition will be right

248
00:12:48,880 --> 00:13:06,880
Speaker 1: back and welcome back to American Sunrise. That's a live

249
00:13:06,920 --> 00:13:10,200
Speaker 1: look at New London, Connecticut. We're expecting heavy, heavy rain

250
00:13:10,320 --> 00:13:14,040
Speaker 1: in this part of the Northeast today all day starting

251
00:13:14,040 --> 00:13:17,160
Speaker 1: at around nine am. Other parts of the Northeast further up

252
00:13:17,160 --> 00:13:20,640
Speaker 1: from Connecticut are going to get heavy snow, so be

253
00:13:20,720 --> 00:13:23,000
Speaker 1: ready for that. I wanted to walk to the library

254
00:13:23,040 --> 00:13:24,920
Speaker 1: today and put my show together at the public library

255
00:13:24,920 --> 00:13:26,240
Speaker 1: with all the nice people there. But I don't know

256
00:13:26,240 --> 00:13:27,360
Speaker 1: if I'm going to want to make the walk if

257
00:13:27,400 --> 00:13:29,839
Speaker 1: it's poring on me. Welcome back to American Sunrise or

258
00:13:29,880 --> 00:13:31,880
Speaker 1: a Leadershi. I'm Jake Novak Special. Welcome to those of

259
00:13:31,920 --> 00:13:35,079
Speaker 1: you who are watching and commenting on Getter and Rumble

260
00:13:35,400 --> 00:13:38,079
Speaker 1: and Substack and X. I see all of you. I'm

261
00:13:38,120 --> 00:13:39,880
Speaker 1: like that woman on Romper Room with the magic mirror.

262
00:13:39,920 --> 00:13:42,240
Speaker 1: Maybe I'll call it all of your names. President Trump

263
00:13:42,600 --> 00:13:46,160
Speaker 1: has weighed in on that special election that is today today, Folks,

264
00:13:46,160 --> 00:13:48,040
Speaker 1: if you're watching in Tennessee the Nasville area, make sure

265
00:13:48,080 --> 00:13:49,920
Speaker 1: you get out and vote. It's a special election to

266
00:13:49,960 --> 00:13:53,280
Speaker 1: fill an empty House seat in that again the Nashville area.

267
00:13:53,520 --> 00:13:57,000
Speaker 1: He is strongly endorsing Republican Matt ben EPP's over radical

268
00:13:57,040 --> 00:14:00,920
Speaker 1: Democrat Afton Ben. Now Emily benn Introduce used us to

269
00:14:01,040 --> 00:14:04,520
Speaker 1: aften Ben and her car alarm passed. We showed you

270
00:14:04,559 --> 00:14:05,840
Speaker 1: a video. I'm not going to show it again because

271
00:14:05,840 --> 00:14:07,520
Speaker 1: I don't want to break your ear drums a second

272
00:14:07,600 --> 00:14:10,160
Speaker 1: time where she ran into Governor Bill Lee's office in

273
00:14:10,200 --> 00:14:12,960
Speaker 1: Louisiana and started screaming like a car alarm. I mean

274
00:14:13,360 --> 00:14:15,960
Speaker 1: it was really a former, good career for her. But

275
00:14:16,200 --> 00:14:18,480
Speaker 1: this radical Emily has a chance to win the pole say,

276
00:14:18,480 --> 00:14:20,840
Speaker 1: it's really tight. What do you chalk this up to?

277
00:14:20,960 --> 00:14:22,880
Speaker 1: I mean, apathy, what's going on here? Why would they

278
00:14:22,960 --> 00:14:23,600
Speaker 1: vote for this woman?

279
00:14:24,880 --> 00:14:27,400
Speaker 8: Honestly, I must admit her social media youth. I mean

280
00:14:27,440 --> 00:14:30,120
Speaker 8: she's been a car alarm all over TikTok, a car

281
00:14:30,200 --> 00:14:34,000
Speaker 8: alarm r all over Instagram, really been capitalizing on just

282
00:14:34,080 --> 00:14:38,080
Speaker 8: the shock value of her campaign. But in the late

283
00:14:38,160 --> 00:14:40,800
Speaker 8: days here, the Van Ups campaign has really been trying

284
00:14:40,800 --> 00:14:44,480
Speaker 8: to pull through. And Jake, I must admit apton Ben

285
00:14:44,640 --> 00:14:47,800
Speaker 8: saying that she hates Tennessee. She hates everything about Tennessee,

286
00:14:47,880 --> 00:14:51,600
Speaker 8: she hates the bachelorette parties, she hates Nashville. I mean,

287
00:14:51,840 --> 00:14:54,280
Speaker 8: she is not the right person to represent this area.

288
00:14:54,280 --> 00:14:57,240
Speaker 8: And I hope that the constituents, the people in that

289
00:14:57,320 --> 00:14:59,800
Speaker 8: district wake up and they make the right decision today

290
00:15:00,120 --> 00:15:02,320
Speaker 8: this election. This is the type of woman that you

291
00:15:02,360 --> 00:15:04,720
Speaker 8: don't want to send to DC to represent you. She

292
00:15:04,760 --> 00:15:07,320
Speaker 8: hates everything that you stand for. And it just seems

293
00:15:07,320 --> 00:15:09,280
Speaker 8: like such a black and white issue. But the politics

294
00:15:09,320 --> 00:15:12,440
Speaker 8: really do get confusing in campaigns like this, and so

295
00:15:12,600 --> 00:15:14,920
Speaker 8: it comes down to the people in that area to

296
00:15:14,960 --> 00:15:18,080
Speaker 8: wake up and make the right decision, Jake, you know, Emily,

297
00:15:18,160 --> 00:15:18,520
Speaker 8: I think it.

298
00:15:18,480 --> 00:15:20,800
Speaker 1: Also comes down to this. I mean, there's a probably

299
00:15:20,880 --> 00:15:23,080
Speaker 1: a lot of people people who watch this program who

300
00:15:23,160 --> 00:15:26,120
Speaker 1: are very up on politics, very astute, they don't fall

301
00:15:26,120 --> 00:15:28,400
Speaker 1: asleep on it, who probably didn't know there was this

302
00:15:28,480 --> 00:15:31,440
Speaker 1: election today. And this is a national story. When you

303
00:15:31,560 --> 00:15:35,800
Speaker 1: have a House of Congress, the House of Representatives, it's

304
00:15:35,880 --> 00:15:39,320
Speaker 1: so razor thin a majority for the Republicans. Every race

305
00:15:39,440 --> 00:15:42,480
Speaker 1: like this really is a national story. And yet I

306
00:15:42,520 --> 00:15:43,720
Speaker 1: think there were a lot of people who didn't know

307
00:15:43,760 --> 00:15:45,120
Speaker 1: about it. I think there's a lot of people in

308
00:15:45,120 --> 00:15:47,760
Speaker 1: the national I mean, I'm afraid to take a look

309
00:15:47,760 --> 00:15:49,520
Speaker 1: at what the voter turnout's going to be when we

310
00:15:49,560 --> 00:15:51,960
Speaker 1: find that out. And to me, this is a form

311
00:15:52,000 --> 00:15:54,640
Speaker 1: of voter suppression. Why are we having elections on a

312
00:15:54,720 --> 00:15:58,240
Speaker 1: random Tuesday, right in the middle of Christmas season? Random Tuesday?

313
00:15:58,280 --> 00:16:01,080
Speaker 1: Sometimes they have these elections in the summer. To me,

314
00:16:01,200 --> 00:16:05,520
Speaker 1: this is deliberate on behalf of a more Democrat leaning system,

315
00:16:05,840 --> 00:16:08,120
Speaker 1: which makes it makes it easier for union members who

316
00:16:08,160 --> 00:16:09,760
Speaker 1: not only get the day off but get paid to

317
00:16:09,760 --> 00:16:12,560
Speaker 1: go out and do a campaign work on election day.

318
00:16:12,680 --> 00:16:14,600
Speaker 1: For folks who are just working a regular job like

319
00:16:14,640 --> 00:16:16,960
Speaker 1: you and me and lots of people watching, this is

320
00:16:17,000 --> 00:16:18,600
Speaker 1: not so easy to go vote today. And I think

321
00:16:18,640 --> 00:16:19,880
Speaker 1: that's deliberate even to do.

322
00:16:20,040 --> 00:16:22,600
Speaker 8: Even if you know, if we lived in the Tennessee area,

323
00:16:22,600 --> 00:16:24,840
Speaker 8: even if we wanted to participate, we couldn't because we

324
00:16:24,880 --> 00:16:27,160
Speaker 8: have responsibilities during the day that would, you know, make

325
00:16:27,240 --> 00:16:29,720
Speaker 8: us not be able to go something with Afton Ben.

326
00:16:29,720 --> 00:16:31,240
Speaker 8: I want to point out just being the gen Z

327
00:16:31,400 --> 00:16:34,040
Speaker 8: girl on the show, Jake, you know young people, college

328
00:16:34,040 --> 00:16:35,920
Speaker 8: students that are able to vote. They can get out

329
00:16:35,920 --> 00:16:38,040
Speaker 8: of class, they can skip class no problem and go

330
00:16:38,120 --> 00:16:40,120
Speaker 8: vote for her. So it's going to be really interesting

331
00:16:40,160 --> 00:16:41,800
Speaker 8: to see how all of this plays out today. But

332
00:16:41,840 --> 00:16:44,520
Speaker 8: I think at the UH, when you kind of get

333
00:16:44,520 --> 00:16:47,320
Speaker 8: everything all together, I mean, it's very clear that only

334
00:16:47,360 --> 00:16:50,160
Speaker 8: one candidate is going to represent this area well and

335
00:16:50,240 --> 00:16:52,480
Speaker 8: actually loves this area and loves the people in this

336
00:16:52,600 --> 00:16:55,120
Speaker 8: area and what they stand for and so like I said,

337
00:16:55,120 --> 00:16:57,600
Speaker 8: I hope that the people in this district wake up

338
00:16:57,600 --> 00:16:59,560
Speaker 8: and make the right decision today. But Jake, I will say,

339
00:16:59,560 --> 00:17:02,960
Speaker 8: even if Ben does win, we have so much content

340
00:17:03,080 --> 00:17:05,359
Speaker 8: to be able to talk about her on this program.

341
00:17:06,520 --> 00:17:10,399
Speaker 9: Her and her car alarm.

342
00:17:08,960 --> 00:17:13,159
Speaker 1: Your ulterior motive? All right, Well that's true. I remember

343
00:17:13,160 --> 00:17:15,520
Speaker 1: people wanted Michael Ducacus to win the presidential race in

344
00:17:15,560 --> 00:17:17,720
Speaker 1: nineteen eighty eight because cartoonists would have so much fun

345
00:17:17,720 --> 00:17:20,560
Speaker 1: with his eyebrows and his eyes. And I thought to myself, like,

346
00:17:20,600 --> 00:17:23,160
Speaker 1: good luck, guys, I don't think he's gonna win. All right, Emily, Ben,

347
00:17:23,160 --> 00:17:24,679
Speaker 1: thank you so much for joining us. We'll see on

348
00:17:24,680 --> 00:17:26,320
Speaker 1: the Big Show from eight to ten am. Thank you.

349
00:17:26,400 --> 00:17:26,640
Speaker 9: Thanks.

350
00:17:26,720 --> 00:17:30,560
Speaker 1: Jake. Hey, did you catch President Trump calling out those

351
00:17:30,600 --> 00:17:34,919
Speaker 1: big banks that shut down Americans just for their beliefs.

352
00:17:35,440 --> 00:17:37,879
Speaker 1: It's time to stop rewarding them. Move your money to

353
00:17:38,000 --> 00:17:42,320
Speaker 1: Old Glorybank. Old Glorybanks serves customers in all fifty states

354
00:17:42,359 --> 00:17:46,679
Speaker 1: with top tier online banking for both consumers and businesses.

355
00:17:47,320 --> 00:17:49,960
Speaker 1: Everything the big woke banks offer you, you're gonna find

356
00:17:50,040 --> 00:17:55,520
Speaker 1: better at Old Glorybank. They're proudly pro freedom, pro Second Amendment,

357
00:17:55,600 --> 00:18:00,119
Speaker 1: and procrypto. Visit oldglorybank dot com slash rap today and

358
00:18:00,200 --> 00:18:06,560
Speaker 1: join the right side of bank coming up manufacturing jobs

359
00:18:06,680 --> 00:18:10,040
Speaker 1: cracking those kinds of jobsers are good. Construction New York

360
00:18:10,040 --> 00:18:12,920
Speaker 1: State says no all the time, but give a casino

361
00:18:13,000 --> 00:18:15,560
Speaker 1: to a multi billion dollar Major League Baseball team owner

362
00:18:15,600 --> 00:18:17,920
Speaker 1: right next to the ballpark, even in the midst of

363
00:18:17,920 --> 00:18:21,720
Speaker 1: a huge pro gamb league scandal, no problem. That story

364
00:18:21,720 --> 00:18:24,160
Speaker 1: and more. When American Sunrise early edition comes right back,

365
00:18:38,640 --> 00:18:40,840
Speaker 1: that's a live look at Port Jefferson, New York. It's

366
00:18:40,880 --> 00:18:43,560
Speaker 1: about forty five minutes maybe a little bit more from

367
00:18:43,560 --> 00:18:46,000
Speaker 1: where I'm sitting right now. Again, it looks like a

368
00:18:46,000 --> 00:18:48,600
Speaker 1: halfway decent morning, but we're apparently going to get pelted

369
00:18:48,600 --> 00:18:51,440
Speaker 1: with rain all day in this area. So you've got

370
00:18:51,440 --> 00:18:53,600
Speaker 1: something to do in this area in the next a

371
00:18:53,640 --> 00:18:56,640
Speaker 1: couple hours, go do it now, of and keep watch

372
00:18:56,720 --> 00:18:58,159
Speaker 1: rab on your phone or something while you go out

373
00:18:58,160 --> 00:19:00,280
Speaker 1: and about. Let's take a look over the mark markets

374
00:19:00,320 --> 00:19:02,320
Speaker 1: will begin today. We had to sell off yesterday to

375
00:19:02,359 --> 00:19:05,080
Speaker 1: start the week, but actually only took a little bit

376
00:19:05,119 --> 00:19:07,680
Speaker 1: off of that major rally several days of rallying going

377
00:19:07,720 --> 00:19:10,120
Speaker 1: into the Thanksgiving break. So this morning looks like we're

378
00:19:10,119 --> 00:19:12,520
Speaker 1: going to open a little bit higher. These are small gains.

379
00:19:12,680 --> 00:19:15,119
Speaker 1: You see gold giving back just a little bit, silver

380
00:19:15,200 --> 00:19:17,879
Speaker 1: giving back, Crude oil at the fifty nine dollars barrel level.

381
00:19:17,920 --> 00:19:21,800
Speaker 1: And as I mentioned just a little bit ago, the

382
00:19:21,960 --> 00:19:23,919
Speaker 1: average price for a gallon of gas in America has

383
00:19:23,960 --> 00:19:27,440
Speaker 1: broken below three dollars for the first time in years.

384
00:19:27,480 --> 00:19:29,800
Speaker 1: Remember it was well below three dollars before Joe Biden

385
00:19:29,840 --> 00:19:32,560
Speaker 1: became president. So that's big news this morning. And let's

386
00:19:32,560 --> 00:19:34,160
Speaker 1: take a look at bitcoin. That's where there's a lot

387
00:19:34,160 --> 00:19:36,680
Speaker 1: of drama these days. And I want to show you

388
00:19:36,720 --> 00:19:38,679
Speaker 1: where bitcoin is now. Look it's at the eighty se

389
00:19:38,800 --> 00:19:40,919
Speaker 1: It's up two thousand bucks this morning. It's at the

390
00:19:40,920 --> 00:19:43,760
Speaker 1: eighty seven thousand dollar mark. We were briefly over ninety

391
00:19:43,800 --> 00:19:47,439
Speaker 1: one thousand dollars over the Thanksgiving weekend and we went

392
00:19:47,480 --> 00:19:50,080
Speaker 1: all the way back down to almost eighty one. Coming

393
00:19:50,119 --> 00:19:52,400
Speaker 1: back a little bit today. There's a lot of money

394
00:19:52,440 --> 00:19:54,280
Speaker 1: to be made in these back and forth trades, by

395
00:19:54,280 --> 00:19:56,199
Speaker 1: the way, for people who know about day trading, So

396
00:19:56,720 --> 00:19:59,080
Speaker 1: watch it. There's action there. Someone's going to make or

397
00:19:59,119 --> 00:20:02,160
Speaker 1: lose money. It won't be okay. We have big news

398
00:20:02,160 --> 00:20:05,200
Speaker 1: for New York City, a real casino, not just slot

399
00:20:05,240 --> 00:20:08,159
Speaker 1: machines and electronics stuff, a real casino. Actually, three of

400
00:20:08,200 --> 00:20:10,680
Speaker 1: them have been approved for the city limits. That's never

401
00:20:10,720 --> 00:20:13,560
Speaker 1: happened before. Now Mets owner Steve Cohen is going to

402
00:20:13,640 --> 00:20:15,239
Speaker 1: get a big chunk of one of them. I think

403
00:20:15,240 --> 00:20:17,359
Speaker 1: it's going to be the hard rock casino that's going

404
00:20:17,440 --> 00:20:20,000
Speaker 1: to be operating it. But Steve Cohen will be one

405
00:20:20,040 --> 00:20:21,960
Speaker 1: of the owners. Of course, he's the owner of the Mets,

406
00:20:22,119 --> 00:20:23,800
Speaker 1: and they're going to put that casino right next to

407
00:20:23,880 --> 00:20:26,040
Speaker 1: City Field. For those of you who know a lot

408
00:20:26,080 --> 00:20:29,000
Speaker 1: of you know about Major League Baseball stadiums around the country,

409
00:20:29,000 --> 00:20:31,440
Speaker 1: they do great things around the area of the stadium,

410
00:20:31,520 --> 00:20:34,760
Speaker 1: like in Washington and also lots of other places. They

411
00:20:34,800 --> 00:20:37,520
Speaker 1: make basically like a pedestrian mall with bars and restaurants

412
00:20:37,560 --> 00:20:40,639
Speaker 1: and little concert stages. It's really cute. That's what I

413
00:20:40,720 --> 00:20:43,200
Speaker 1: really wanted for Queens and for the Mets, and maybe

414
00:20:43,200 --> 00:20:46,280
Speaker 1: they'll still get it. An indoor casino. Look again, not apprude.

415
00:20:46,280 --> 00:20:48,199
Speaker 1: I understand people are going to bet, but in the

416
00:20:48,200 --> 00:20:50,719
Speaker 1: middle of this betting scandal with pro sports, which includes

417
00:20:50,760 --> 00:20:53,119
Speaker 1: Major League Baseball, I don't know if this is the greatest. Look,

418
00:20:53,440 --> 00:20:55,240
Speaker 1: but I'll give you one more thing that I'll say

419
00:20:55,240 --> 00:20:58,399
Speaker 1: about this. Hey, New York State, you're approving casinos because

420
00:20:58,400 --> 00:21:00,680
Speaker 1: you think all that New Yorkers want is just go

421
00:21:00,720 --> 00:21:03,320
Speaker 1: and gamble. What we also want and want even more,

422
00:21:03,440 --> 00:21:07,320
Speaker 1: are more construction jobs. Please approve more building fracking, allow

423
00:21:07,440 --> 00:21:10,679
Speaker 1: fracking in New York State. Upstate especially Pennsylvania gets it,

424
00:21:10,720 --> 00:21:12,720
Speaker 1: and that's all that money that goes to them. We

425
00:21:12,800 --> 00:21:14,479
Speaker 1: have the right to it also, and on and on

426
00:21:14,520 --> 00:21:16,960
Speaker 1: down the line. There's a better career out there for

427
00:21:17,000 --> 00:21:19,719
Speaker 1: people other than being a casino dealer or someone who

428
00:21:19,800 --> 00:21:22,960
Speaker 1: fold sheets at a casino hotel. Again, not approved. I

429
00:21:23,080 --> 00:21:24,960
Speaker 1: understand that there's a demand for it. That's great, but

430
00:21:25,040 --> 00:21:27,399
Speaker 1: give us other jobs also, and also give us that

431
00:21:27,480 --> 00:21:29,760
Speaker 1: other culture New York City field that we want. We

432
00:21:29,800 --> 00:21:33,280
Speaker 1: want that for Yankee Stadium too, all right, Eli Lilly.

433
00:21:33,760 --> 00:21:36,080
Speaker 1: Going on now to another issue, is going to drop

434
00:21:36,119 --> 00:21:39,600
Speaker 1: the prices for the injectable weight loss drug zep bound. Now,

435
00:21:39,600 --> 00:21:42,119
Speaker 1: this is just for the cash customers, not for the

436
00:21:42,160 --> 00:21:45,440
Speaker 1: people who are getting this drug via their insurance plans. Now,

437
00:21:45,480 --> 00:21:48,240
Speaker 1: the cash customers right now paid between three ninety nine

438
00:21:48,560 --> 00:21:51,639
Speaker 1: and four ninety nine dollars a month for the injectible

439
00:21:51,720 --> 00:21:54,639
Speaker 1: vials a month's supply. Most people are now going to

440
00:21:54,720 --> 00:21:57,520
Speaker 1: pay closer to two hundred and ninety nine dollars. Some

441
00:21:57,640 --> 00:22:00,520
Speaker 1: people who don't necessarily qualify will so have to pay

442
00:22:00,560 --> 00:22:02,840
Speaker 1: close to five hundred bucks. But most people will now

443
00:22:02,880 --> 00:22:04,960
Speaker 1: get a nice price cut all the way down to

444
00:22:05,040 --> 00:22:07,280
Speaker 1: under three hundred bucks. But to me, there's a little

445
00:22:07,320 --> 00:22:09,600
Speaker 1: bit of bad news mixed in with this. The reason

446
00:22:09,600 --> 00:22:12,040
Speaker 1: why Eli Lilly is doing this is because of pressure

447
00:22:12,600 --> 00:22:14,960
Speaker 1: from the trumb administration. And I understand why the Trump

448
00:22:14,960 --> 00:22:17,720
Speaker 1: administration is doing that. They're absolutely trying to help make

449
00:22:18,080 --> 00:22:21,760
Speaker 1: drugs and other treatments more affordable for Americans. That's fine,

450
00:22:22,040 --> 00:22:24,040
Speaker 1: but I'd like to see the prices go down because

451
00:22:24,040 --> 00:22:27,800
Speaker 1: of a more organic supply and demand situation. At the

452
00:22:27,840 --> 00:22:30,520
Speaker 1: same time that we pressure these drug companies to lower costs,

453
00:22:30,760 --> 00:22:32,920
Speaker 1: we need to find out what it takes for them

454
00:22:32,960 --> 00:22:35,920
Speaker 1: to make more. You want to have a supply increase

455
00:22:36,320 --> 00:22:39,040
Speaker 1: so the prices go down. That's, of course, if you're

456
00:22:39,040 --> 00:22:40,920
Speaker 1: in favor of these kinds of drugs in the first place.

457
00:22:40,960 --> 00:22:43,080
Speaker 1: I think that it is warranted to take this drug

458
00:22:43,119 --> 00:22:45,359
Speaker 1: for a lot of people. Not everyone could just be

459
00:22:45,400 --> 00:22:47,960
Speaker 1: told have better willpower. That's not the way it works

460
00:22:47,960 --> 00:22:51,119
Speaker 1: in weight loss. Some people, however, probably shouldn't be on

461
00:22:51,160 --> 00:22:53,719
Speaker 1: these drugs. It feels like everyone's on them, and we

462
00:22:53,760 --> 00:22:56,600
Speaker 1: know they have side effects and other issues going into them.

463
00:22:56,640 --> 00:22:59,200
Speaker 1: So of course that's a different debate. But if you're

464
00:22:59,200 --> 00:23:01,159
Speaker 1: going to lower the price something that people want, you

465
00:23:01,240 --> 00:23:03,840
Speaker 1: got to increase supply. That would be a more organic

466
00:23:03,920 --> 00:23:07,080
Speaker 1: solution to the problem. Okay, here we go again, folks,

467
00:23:07,359 --> 00:23:09,640
Speaker 1: with another Nvidia story. But this one is a little

468
00:23:09,640 --> 00:23:11,200
Speaker 1: bit more interesting, which is why I want to talk

469
00:23:11,200 --> 00:23:13,600
Speaker 1: about it, because I think what in Nvidia is doing

470
00:23:13,640 --> 00:23:16,400
Speaker 1: right now should be studied at business schools. Maybe even

471
00:23:16,440 --> 00:23:19,520
Speaker 1: historians should study it. In Vidia is trying to stay

472
00:23:19,560 --> 00:23:22,200
Speaker 1: alive as a company while it's already on top. It's

473
00:23:22,240 --> 00:23:24,719
Speaker 1: the most valuable company in the world according to its

474
00:23:24,760 --> 00:23:27,280
Speaker 1: stock price and its stock valuation. And instead of just

475
00:23:27,320 --> 00:23:30,400
Speaker 1: sitting on their laurels, in Nvidia lately has been investing

476
00:23:30,440 --> 00:23:32,760
Speaker 1: in a lot of the companies who buy their chips.

477
00:23:32,920 --> 00:23:35,679
Speaker 1: They just took a two billion dollar stake in a

478
00:23:35,680 --> 00:23:38,440
Speaker 1: company called Synopsis that buys a lot of their chips

479
00:23:38,440 --> 00:23:41,720
Speaker 1: for cloud computing and genetic mapping and things like that.

480
00:23:42,040 --> 00:23:44,040
Speaker 1: Why is this significant? While I got one word for

481
00:23:44,080 --> 00:23:47,480
Speaker 1: you at Kodak, Remember Kodak was the dominant film company

482
00:23:47,520 --> 00:23:50,959
Speaker 1: in all the world. They didn't get down with digital photography.

483
00:23:51,000 --> 00:23:53,000
Speaker 1: Something that they should have done. Something they should have

484
00:23:53,040 --> 00:23:55,840
Speaker 1: invested in the companies that were developing it. They should

485
00:23:55,840 --> 00:23:57,919
Speaker 1: have also got invested in some of the companies that

486
00:23:58,040 --> 00:24:00,760
Speaker 1: needed their material. Maybe they should have invested in some

487
00:24:00,800 --> 00:24:03,320
Speaker 1: Hollywood studios who were using their film. You get my point.

488
00:24:03,680 --> 00:24:05,399
Speaker 1: It's something that in Vidia is trying to do to

489
00:24:05,400 --> 00:24:07,959
Speaker 1: stay on top. I find this an interesting case study.

490
00:24:08,119 --> 00:24:09,960
Speaker 1: Let's see if it works for them. At the end

491
00:24:10,000 --> 00:24:11,399
Speaker 1: of the day, we don't want to have the buggy

492
00:24:11,400 --> 00:24:14,439
Speaker 1: whip company still be in charge of our transportation. But

493
00:24:14,560 --> 00:24:16,919
Speaker 1: for now, in video is far far more advanced than

494
00:24:16,920 --> 00:24:19,600
Speaker 1: a buggy whip. Let's say that. All right, ladies and gentlemen,

495
00:24:19,800 --> 00:24:33,880
Speaker 1: start your engines. This is Moving America sponsored by Artillery

496
00:24:33,960 --> 00:24:37,919
Speaker 1: Tea Company artillerytcode dot com use promo code RAB for

497
00:24:38,040 --> 00:24:42,080
Speaker 1: ten percent off your order. Artillery t is all natural

498
00:24:42,119 --> 00:24:45,040
Speaker 1: hole leaf, The tea bags are chemical free and each

499
00:24:45,119 --> 00:24:49,080
Speaker 1: tea bag can be used twice. Artillery Tea Company is

500
00:24:49,160 --> 00:24:52,480
Speaker 1: family and veteran owned and operated and a portion of

501
00:24:52,480 --> 00:24:55,600
Speaker 1: your purchase goes to help veteran and first responder charities.

502
00:24:56,359 --> 00:25:00,240
Speaker 1: Artillerytcode dot com promo code rab for ten percent off

503
00:25:00,280 --> 00:25:03,800
Speaker 1: your order. Speaking of investments, I was just talking about

504
00:25:03,880 --> 00:25:07,720
Speaker 1: Nvidia Stilantis, that's Chrysler, Jeep and Dodge parent company. They

505
00:25:07,800 --> 00:25:10,399
Speaker 1: told you in October and I reported it here that

506
00:25:10,400 --> 00:25:13,960
Speaker 1: they were investing billions of dollars in increasing their presence

507
00:25:13,960 --> 00:25:16,200
Speaker 1: in the United States. Okay, that's nice. I just figured

508
00:25:16,240 --> 00:25:18,760
Speaker 1: that meant that they would make more Jeeps, because Jeep

509
00:25:18,800 --> 00:25:21,000
Speaker 1: is their most popular brand here in the United States.

510
00:25:21,119 --> 00:25:23,600
Speaker 1: Maybe get a little bit more creative and bring back

511
00:25:23,640 --> 00:25:26,560
Speaker 1: some more Dodge sports cars performance cars to the market.

512
00:25:26,600 --> 00:25:28,840
Speaker 1: But it goes well beyond that, and we found that

513
00:25:28,960 --> 00:25:32,720
Speaker 1: out yesterday. It turns out insiders within the auto industry

514
00:25:32,760 --> 00:25:37,159
Speaker 1: say that hundreds underline hundreds, not dozens, hundreds of new people,

515
00:25:37,240 --> 00:25:39,919
Speaker 1: white collar workers are being hired to work at the

516
00:25:39,920 --> 00:25:44,040
Speaker 1: Stilantis tech headquarters in Auburn Hills, Michigan. That's where the

517
00:25:44,080 --> 00:25:46,040
Speaker 1: Palace in Michigan used to be, where the Pistons used

518
00:25:46,040 --> 00:25:49,760
Speaker 1: to play. These are white collar jobs. Now. There's a

519
00:25:49,760 --> 00:25:52,760
Speaker 1: lot of solid evidence here that there's a major commitment

520
00:25:52,800 --> 00:25:55,920
Speaker 1: here coming from Stilantis. They're throwing a hail Mary right now,

521
00:25:56,480 --> 00:25:59,439
Speaker 1: trying to get somewhere and get some I get the

522
00:26:00,000 --> 00:26:02,960
Speaker 1: Atlantis has always been a struggling company. Chrysler has been

523
00:26:03,000 --> 00:26:05,720
Speaker 1: struggling in the United States for well over forty really

524
00:26:05,760 --> 00:26:09,480
Speaker 1: forty five years, So this is an interesting investment that

525
00:26:09,520 --> 00:26:11,600
Speaker 1: they're making. But it's real. This is not just a

526
00:26:11,640 --> 00:26:14,399
Speaker 1: press release and me telling you about them and saying

527
00:26:14,440 --> 00:26:17,240
Speaker 1: some number like billions of dollars. Apparently hundreds of white

528
00:26:17,320 --> 00:26:21,439
Speaker 1: collar tech workers being hired at the Atlantis HQ. I

529
00:26:21,440 --> 00:26:23,280
Speaker 1: hope they're not people on h one V visas, but

530
00:26:23,359 --> 00:26:25,879
Speaker 1: we'll find that out maybe later. Okay, A not so

531
00:26:26,040 --> 00:26:30,360
Speaker 1: great milestone was passed in America yesterday. We had good

532
00:26:30,359 --> 00:26:32,480
Speaker 1: news this morning about the average price of gas going

533
00:26:32,480 --> 00:26:34,679
Speaker 1: down below three hundred dollars in this country. But we

534
00:26:34,720 --> 00:26:38,520
Speaker 1: had bad news yesterday. We finally did break the fifty

535
00:26:38,600 --> 00:26:42,440
Speaker 1: thousand dollars threshold the average price of a marketed new car,

536
00:26:42,520 --> 00:26:45,960
Speaker 1: So basically MSRP went over fifty thousand dollars for the

537
00:26:46,000 --> 00:26:49,840
Speaker 1: first time in American history yesterday. You might be hearing

538
00:26:49,840 --> 00:26:51,240
Speaker 1: me tell you this stortain thing. Hey, wait, a minute.

539
00:26:51,240 --> 00:26:53,160
Speaker 1: Did't that happen a couple of months ago. No, that's

540
00:26:53,160 --> 00:26:55,320
Speaker 1: what the mainstream media tried to report. When it got

541
00:26:55,320 --> 00:26:58,360
Speaker 1: to about forty nine hundred dollars, they just rounded up.

542
00:26:58,600 --> 00:27:00,520
Speaker 1: But I don't like to round up on this. You

543
00:27:00,600 --> 00:27:03,000
Speaker 1: either hit fifty or you don't. We hit it now

544
00:27:03,320 --> 00:27:06,360
Speaker 1: and again. Tariffs are tough, and that's what the mainstream

545
00:27:06,359 --> 00:27:08,400
Speaker 1: media and the Democrats are gonna blame. They're gonna blame

546
00:27:08,440 --> 00:27:11,120
Speaker 1: the tariffs, that Trump tariffs for the prices going up.

547
00:27:11,160 --> 00:27:13,440
Speaker 1: But not so fast, my friend. The prices were going

548
00:27:13,480 --> 00:27:16,560
Speaker 1: up well before that, and prices of those cars are

549
00:27:16,600 --> 00:27:20,760
Speaker 1: only up zero point seven percent since the tariffs were announced.

550
00:27:20,760 --> 00:27:22,680
Speaker 1: So it's not the tariff, folks, it's all the other

551
00:27:22,720 --> 00:27:25,080
Speaker 1: things that are going into the price of a new car.

552
00:27:25,160 --> 00:27:27,440
Speaker 1: Some of it is expensive new tech, and of course

553
00:27:27,440 --> 00:27:29,800
Speaker 1: the price of labor in this country is nothing to

554
00:27:29,840 --> 00:27:31,480
Speaker 1: sneeze at. We have to find a way to lower

555
00:27:31,480 --> 00:27:34,840
Speaker 1: those costs. It's not all bad news for Tesla. It

556
00:27:34,880 --> 00:27:37,200
Speaker 1: feels like every story that I've done in the last

557
00:27:37,240 --> 00:27:39,800
Speaker 1: six months about Tesla sales has been bad news. But

558
00:27:39,920 --> 00:27:42,680
Speaker 1: now we have some good news, it turns out, especially

559
00:27:42,680 --> 00:27:45,160
Speaker 1: coming out of Europe, especially where Europe apparently has completely

560
00:27:45,160 --> 00:27:48,040
Speaker 1: rejected Tesla and Elon Musk. Well, not so fast, because

561
00:27:48,080 --> 00:27:51,440
Speaker 1: in Norway, in the first eleven months of this year

562
00:27:51,520 --> 00:27:55,120
Speaker 1: so far, Tesla has sold more cars than any other

563
00:27:55,119 --> 00:27:57,000
Speaker 1: company sold in an entire year. So they still have

564
00:27:57,000 --> 00:27:59,600
Speaker 1: a month to go, and Tesla has already broken the

565
00:27:59,640 --> 00:28:02,639
Speaker 1: annual sales record for any car company in the history

566
00:28:02,640 --> 00:28:05,920
Speaker 1: of Norway. Now there's one caveat that I got to

567
00:28:05,920 --> 00:28:09,000
Speaker 1: throw into here. At the end of this year, Norway

568
00:28:09,080 --> 00:28:11,960
Speaker 1: is going to include a tax, a new tax on

569
00:28:12,000 --> 00:28:15,000
Speaker 1: people who don't own electric vehicles if you own a

570
00:28:15,000 --> 00:28:17,439
Speaker 1: gas power car. So a lot of people are rushing

571
00:28:17,480 --> 00:28:20,680
Speaker 1: to trade over to an EV in Norway. But that's

572
00:28:20,720 --> 00:28:22,359
Speaker 1: been true in a lot of countries where there are

573
00:28:22,440 --> 00:28:24,800
Speaker 1: new taxes coming in and things like that, and they

574
00:28:24,840 --> 00:28:27,359
Speaker 1: haven't chosen Tesla. So Norway is a big win for

575
00:28:27,400 --> 00:28:30,200
Speaker 1: Tesla and maybe the beginning of a comeback for that company.

576
00:28:30,920 --> 00:28:33,160
Speaker 1: And by the way, I almost miss this great story

577
00:28:33,160 --> 00:28:35,000
Speaker 1: that I want to tell you about right now. The

578
00:28:35,000 --> 00:28:38,120
Speaker 1: police department in the town of spring Lake, New Jersey,

579
00:28:38,640 --> 00:28:41,920
Speaker 1: won a statewide competition to get a free new Ford

580
00:28:41,960 --> 00:28:45,480
Speaker 1: Bronco Cruiser. This baby is worth over one hundred and

581
00:28:45,560 --> 00:28:48,480
Speaker 1: ten thousand dollars, so this is no small donation. Each

582
00:28:49,000 --> 00:28:51,560
Speaker 1: police department in New Jersey was asked to compete with

583
00:28:51,640 --> 00:28:54,760
Speaker 1: a social media posting a music video or other demonstration

584
00:28:54,840 --> 00:28:57,760
Speaker 1: on social media showing why they deserve to get this.

585
00:28:57,800 --> 00:29:02,000
Speaker 1: Bronco and spring Lake, New Jersey won the competition. All

586
00:29:02,040 --> 00:29:05,280
Speaker 1: American Ford in New Jersey and a police tech company

587
00:29:05,280 --> 00:29:09,080
Speaker 1: called GTBM organized the giveaway. That's a nice win for

588
00:29:09,200 --> 00:29:11,880
Speaker 1: those cops down in spring Lake, New Jersey. Okay, coming up,

589
00:29:12,120 --> 00:29:14,920
Speaker 1: what are the best new tech innovations of the year

590
00:29:15,280 --> 00:29:17,560
Speaker 1: and coming for next year. No, I'm not about to

591
00:29:17,560 --> 00:29:20,640
Speaker 1: give you a list of bargains at best Buy. Think bigger, folks,

592
00:29:20,680 --> 00:29:23,560
Speaker 1: think bigger. American Sunrise early edition will have some answers

593
00:29:23,600 --> 00:29:23,920
Speaker 1: for you.

594
00:29:24,000 --> 00:29:24,280
Speaker 5: Just day.

595
00:29:36,440 --> 00:29:39,400
Speaker 1: It's Tuesday, December second. Here are this morning's top stories.

596
00:29:39,920 --> 00:29:42,960
Speaker 1: The multi front attack on the US military chain of

597
00:29:42,960 --> 00:29:47,440
Speaker 1: command continues. That effort to accuse Secretary of Warpete Hegseth

598
00:29:47,560 --> 00:29:50,280
Speaker 1: with war crimes connection you to our attacks on drug

599
00:29:50,320 --> 00:29:53,400
Speaker 1: votes in the Caribbean. That seems to be weakening thanks

600
00:29:53,440 --> 00:29:56,080
Speaker 1: to President Trump defending hegset and the facts coming out.

601
00:29:57,920 --> 00:30:00,640
Speaker 1: It's now a full blown scandal. However, though, in Minnesota,

602
00:30:00,720 --> 00:30:04,680
Speaker 1: as hundreds of government workers in that state say they

603
00:30:04,760 --> 00:30:07,920
Speaker 1: warned Governor Tim Wallas about federal aid money being stolen

604
00:30:08,320 --> 00:30:11,320
Speaker 1: by the Somali community. They even warned Kamala Harris about

605
00:30:11,320 --> 00:30:14,240
Speaker 1: it after she chose Walls as her running mate last year.

606
00:30:16,200 --> 00:30:19,120
Speaker 1: It's election day in deep red Tennessee, but the special

607
00:30:19,160 --> 00:30:22,440
Speaker 1: election to fill a vacant House seat representing the Nashville

608
00:30:22,440 --> 00:30:25,440
Speaker 1: area is a dead heat in the polls. How is

609
00:30:25,440 --> 00:30:28,000
Speaker 1: it that a radical Democrat could possibly pull off a

610
00:30:28,000 --> 00:30:32,520
Speaker 1: big upset? When the White House releases the results of

611
00:30:32,560 --> 00:30:36,040
Speaker 1: President Trump's latest MRI showing the president to be in

612
00:30:36,160 --> 00:30:38,520
Speaker 1: very good health for an eighty year old man. This

613
00:30:38,640 --> 00:30:41,440
Speaker 1: comes as Democrats and their mainstream media minions try to

614
00:30:41,480 --> 00:30:45,880
Speaker 1: suggest Trump is not well. American Sunrise early edition continues

615
00:30:45,920 --> 00:30:57,640
Speaker 1: now about presidential health. Where were they during the Joe

616
00:30:57,640 --> 00:31:00,760
Speaker 1: Biden presidency when any child of five and older could

617
00:31:00,800 --> 00:31:02,840
Speaker 1: see that he was not all there? Then they were

618
00:31:02,880 --> 00:31:05,320
Speaker 1: not only covering it up and not covering it, but

619
00:31:05,480 --> 00:31:07,800
Speaker 1: telling us how great shape he was and all things

620
00:31:07,840 --> 00:31:11,400
Speaker 1: like that. It's just I understand, hypocrisy is an essential

621
00:31:11,440 --> 00:31:14,320
Speaker 1: element of politics. If it's not hypocritical. It ain't political,

622
00:31:14,360 --> 00:31:17,440
Speaker 1: that's one of my sayings. But sometimes hypocrisy goes into

623
00:31:17,600 --> 00:31:19,880
Speaker 1: the realm of the absurd. Let's get into some things

624
00:31:19,880 --> 00:31:21,719
Speaker 1: that I think are a little bit more encouraging. At

625
00:31:21,760 --> 00:31:23,560
Speaker 1: least we will in a couple of minutes. Joining us

626
00:31:23,560 --> 00:31:27,280
Speaker 1: now is tech expert and founder of AML Global and Liveshoots.

627
00:31:27,320 --> 00:31:31,440
Speaker 1: And when we talk tech first, we have to address

628
00:31:31,480 --> 00:31:34,280
Speaker 1: the elephant in the room, ann and that is AI.

629
00:31:35,400 --> 00:31:38,040
Speaker 1: It's our artificial intelligence and all the spending in it,

630
00:31:38,280 --> 00:31:40,160
Speaker 1: and and the fact that so many of the people

631
00:31:40,240 --> 00:31:41,840
Speaker 1: watching this program right now there are four to one

632
00:31:41,920 --> 00:31:45,240
Speaker 1: ks and their iras are very much reliant on where

633
00:31:45,280 --> 00:31:49,120
Speaker 1: the AI stocks go from day to day. I don't

634
00:31:49,120 --> 00:31:52,360
Speaker 1: think it's a classic bubble in the sense that even

635
00:31:52,760 --> 00:31:54,680
Speaker 1: a small percentage of that technology is not going to

636
00:31:54,680 --> 00:31:57,320
Speaker 1: be used. I think it's very essential. But what's your

637
00:31:57,320 --> 00:31:59,440
Speaker 1: feeling about this? Is there too much spending on on

638
00:31:59,440 --> 00:32:01,600
Speaker 1: to be get ahead of our skis on AI right now?

639
00:32:03,520 --> 00:32:06,120
Speaker 9: Well, you are correct, there is a lot of discussion

640
00:32:06,160 --> 00:32:11,320
Speaker 9: about an AI bubble. And let's separate big tech versus

641
00:32:11,360 --> 00:32:13,520
Speaker 9: investments you know from the VC and some of the

642
00:32:13,520 --> 00:32:16,480
Speaker 9: small startups, but with big tech you know, the big companies,

643
00:32:16,520 --> 00:32:20,240
Speaker 9: they're just riding high, high, and higher, and that's because

644
00:32:20,520 --> 00:32:24,680
Speaker 9: they are the market's rewarding them for the promise of AI,

645
00:32:25,240 --> 00:32:27,440
Speaker 9: while at the same time the reality they are making

646
00:32:27,560 --> 00:32:32,880
Speaker 9: extreme investments in their AI infrastructure. So what the market concern,

647
00:32:33,000 --> 00:32:36,560
Speaker 9: what mister market is worried about, is are these companies,

648
00:32:36,600 --> 00:32:38,720
Speaker 9: are these prices, are these earnings being rewarded for the

649
00:32:38,720 --> 00:32:41,640
Speaker 9: potential of AI, when in fact we're going to have

650
00:32:42,040 --> 00:32:44,760
Speaker 9: you know, these big investments that were first being absorbed

651
00:32:44,760 --> 00:32:47,600
Speaker 9: by the companies with their cash flow, but now are

652
00:32:47,680 --> 00:32:51,960
Speaker 9: being also financed through debt. So is there you know,

653
00:32:52,000 --> 00:32:55,920
Speaker 9: a concern that there's an over investment. You know, we

654
00:32:56,040 --> 00:32:58,959
Speaker 9: might we might have a rocky road, you know, some bumps.

655
00:32:59,000 --> 00:33:04,280
Speaker 9: But I consider AI very across the board enabling technology,

656
00:33:04,320 --> 00:33:09,640
Speaker 9: from consumer applications to large enterprise applications and from abacus

657
00:33:09,720 --> 00:33:12,000
Speaker 9: to a spreadsheet to the software. I mean, this is

658
00:33:12,040 --> 00:33:15,680
Speaker 9: a common denominator thing. It's not going anywhere. The investments

659
00:33:15,720 --> 00:33:18,520
Speaker 9: have to take place, so you know, over the course,

660
00:33:18,800 --> 00:33:21,400
Speaker 9: you know, over the course of time. I don't think

661
00:33:21,440 --> 00:33:22,760
Speaker 9: we're looking at an AI bubble.

662
00:33:23,880 --> 00:33:26,920
Speaker 1: That's interesting, all right, and let's can be in a

663
00:33:27,000 --> 00:33:30,280
Speaker 1: very short business school seminar for you, me and everyone

664
00:33:30,280 --> 00:33:32,880
Speaker 1: else watching because I think this is a really interesting

665
00:33:32,920 --> 00:33:35,320
Speaker 1: case study that goes beyond the AI stuff. I think

666
00:33:35,400 --> 00:33:37,280
Speaker 1: a lot of companies might want to be watching this

667
00:33:37,400 --> 00:33:39,600
Speaker 1: very closely because in Video, which is the king of

668
00:33:39,600 --> 00:33:41,520
Speaker 1: the hill of AI, it's the most valuable company in

669
00:33:41,560 --> 00:33:43,760
Speaker 1: the world because they make the chips that are really

670
00:33:43,760 --> 00:33:46,560
Speaker 1: the best right now for the AI sector. They're not

671
00:33:46,760 --> 00:33:48,320
Speaker 1: just going to moving along. They're at the top of

672
00:33:48,320 --> 00:33:49,880
Speaker 1: the hill right now, but they're very much looking at

673
00:33:49,920 --> 00:33:52,440
Speaker 1: trying to stay there or at least not becoming irrelevant

674
00:33:52,480 --> 00:33:55,200
Speaker 1: in ten twenty years. They're making big investments in the

675
00:33:55,240 --> 00:33:58,760
Speaker 1: companies that they actually supply, so that those companies probably

676
00:33:58,760 --> 00:34:00,960
Speaker 1: don't go elsewhere. Hey, I got a two billion dollar

677
00:34:01,040 --> 00:34:04,160
Speaker 1: stake in a company like Synopsis, like Nvidia just took yesterday,

678
00:34:04,400 --> 00:34:07,280
Speaker 1: Maybe they won't go to Intel or Google for our competitors.

679
00:34:07,320 --> 00:34:09,279
Speaker 1: You know, it's not It's not a dumb thing to do.

680
00:34:09,360 --> 00:34:11,239
Speaker 1: I don't know how this goes as far as the

681
00:34:11,239 --> 00:34:13,680
Speaker 1: anti trust laws. I'm going to let a lawyer explain that.

682
00:34:13,960 --> 00:34:16,040
Speaker 1: But do you find this interesting because I don't remember

683
00:34:16,320 --> 00:34:20,560
Speaker 1: Kodak buying up movie studios or photography studios across the country.

684
00:34:20,560 --> 00:34:21,239
Speaker 1: Maybe they should have.

685
00:34:22,160 --> 00:34:24,600
Speaker 9: No Navidia is not is making sure that they don't

686
00:34:24,600 --> 00:34:26,640
Speaker 9: have a red queen problem where they just have to

687
00:34:26,719 --> 00:34:28,960
Speaker 9: run as hard as they can to stay in the

688
00:34:29,000 --> 00:34:32,239
Speaker 9: place that they are. They are taking a long term strategy.

689
00:34:32,320 --> 00:34:35,080
Speaker 9: I mean, the only problem Vida has is they can't

690
00:34:35,080 --> 00:34:37,799
Speaker 9: make enough chips. So what they're doing is they are

691
00:34:38,520 --> 00:34:41,440
Speaker 9: they're you know, they're they're charging forward. They are investing

692
00:34:41,440 --> 00:34:44,480
Speaker 9: in their partners, They're investing in their their companies. They're

693
00:34:45,920 --> 00:34:48,799
Speaker 9: do you have creating investments in their strategic partners that

694
00:34:48,800 --> 00:34:51,680
Speaker 9: are their customers. So they're going to have both buyers

695
00:34:52,200 --> 00:34:56,520
Speaker 9: and strategic partners that are growing their bottom line with them. So, yes,

696
00:34:56,600 --> 00:35:00,560
Speaker 9: they are playing They are playing well in the AI

697
00:35:00,640 --> 00:35:04,320
Speaker 9: space from both the producer and in terms of creating,

698
00:35:04,680 --> 00:35:08,560
Speaker 9: you know, creating good business partners across the industry for themselves.

699
00:35:08,800 --> 00:35:11,839
Speaker 9: As far as whether or not there's any anti competitive practices,

700
00:35:12,520 --> 00:35:15,759
Speaker 9: really you get into whether or not there's collusion and

701
00:35:15,840 --> 00:35:19,560
Speaker 9: intent to restrict competition in the marketplace. Just being smart

702
00:35:19,600 --> 00:35:24,120
Speaker 9: and collaborating and creating good business partnerships, that's just smart business.

703
00:35:25,280 --> 00:35:27,839
Speaker 1: Yeah, I mean, I just it's really not something that

704
00:35:28,440 --> 00:35:30,839
Speaker 1: I've seen a tremendous amount from. You know, companies get

705
00:35:30,880 --> 00:35:32,160
Speaker 1: on the top of the hill and they start thinking

706
00:35:32,160 --> 00:35:35,279
Speaker 1: about themselves and their products only, and maybe that's why

707
00:35:35,280 --> 00:35:37,239
Speaker 1: they don't stay there. All right, let's talk about some

708
00:35:37,280 --> 00:35:39,440
Speaker 1: of the tech advancements of the past year and what

709
00:35:39,440 --> 00:35:42,480
Speaker 1: you see coming for next year, because that got more

710
00:35:42,520 --> 00:35:44,520
Speaker 1: traction in twenty twenty five. And this is not just

711
00:35:44,840 --> 00:35:47,600
Speaker 1: consumer tech. I know that one of the technologies that

712
00:35:47,600 --> 00:35:50,120
Speaker 1: you've been excited about over the last year are the

713
00:35:50,200 --> 00:35:55,160
Speaker 1: advancements in helping people fight and monitor their diabetes. Sadly,

714
00:35:55,239 --> 00:35:57,719
Speaker 1: this is still an epidemic in the United States, and

715
00:35:57,760 --> 00:36:00,239
Speaker 1: you had one particular technology that you thought was very

716
00:36:00,239 --> 00:36:02,720
Speaker 1: helpful in the past year that really boosted itself.

717
00:36:03,840 --> 00:36:05,799
Speaker 9: Yeah, you already touched early on the show about the

718
00:36:05,800 --> 00:36:09,680
Speaker 9: GLP ones. I'm always tracking things that help people make

719
00:36:09,719 --> 00:36:13,120
Speaker 9: intelligent decisions about themselves. You know your audience here, you

720
00:36:13,160 --> 00:36:16,000
Speaker 9: always say that you like an interactive news experience. You

721
00:36:16,040 --> 00:36:18,880
Speaker 9: have informed viewers, you like them writing in well. You know,

722
00:36:18,920 --> 00:36:21,920
Speaker 9: people need good information, they need good information about their

723
00:36:21,960 --> 00:36:24,719
Speaker 9: health and bodies. All people are different. You take one

724
00:36:24,760 --> 00:36:26,560
Speaker 9: hundred people, you feed them the same You give the

725
00:36:26,600 --> 00:36:29,799
Speaker 9: same workouts for a year straight. Guess what, They're all

726
00:36:29,800 --> 00:36:33,160
Speaker 9: going to process things differently, And we really have no

727
00:36:33,320 --> 00:36:36,400
Speaker 9: information about how things affect us food, you know, what

728
00:36:36,480 --> 00:36:40,200
Speaker 9: we consume, how we metabolize things, and the only real

729
00:36:40,239 --> 00:36:42,440
Speaker 9: way to do that is through lab work and also

730
00:36:42,680 --> 00:36:46,439
Speaker 9: through continuous glucose monitors, and today those have always only

731
00:36:46,480 --> 00:36:48,800
Speaker 9: been available through you know, for certain types of people

732
00:36:48,800 --> 00:36:51,879
Speaker 9: with certain conditions, through a prescription, And now there's one

733
00:36:51,920 --> 00:36:53,799
Speaker 9: on the market and it's the first time there's a

734
00:36:53,920 --> 00:36:57,680
Speaker 9: non FDA I'm sorry, there's a there's an FDA PROW,

735
00:36:57,760 --> 00:37:02,080
Speaker 9: but non prescription required canntinuous gluecose monitors, so people can

736
00:37:02,360 --> 00:37:05,279
Speaker 9: learn about how foods, how certain you know, what they

737
00:37:05,320 --> 00:37:09,200
Speaker 9: consume affects them, because people need good actionable data so

738
00:37:09,239 --> 00:37:11,840
Speaker 9: they can make good health decisions for themselves. It's not

739
00:37:11,920 --> 00:37:16,440
Speaker 9: about willpower, it's not about you know, just just certain willpower.

740
00:37:16,480 --> 00:37:20,560
Speaker 9: All people are different metabolically, metabolically, how we how we

741
00:37:20,960 --> 00:37:23,400
Speaker 9: you know, are you know, our proteomic makeup? Everything about

742
00:37:23,480 --> 00:37:25,399
Speaker 9: us is different, So we need to get a better

743
00:37:25,480 --> 00:37:29,279
Speaker 9: understanding of how things affect does and these technologies such

744
00:37:29,280 --> 00:37:32,400
Speaker 9: as a gluecose you know, continuous glucose monitor that anybody

745
00:37:32,400 --> 00:37:35,319
Speaker 9: can go and learn about how things affect themselves. It

746
00:37:35,440 --> 00:37:37,280
Speaker 9: enables them to make informed decisions.

747
00:37:38,200 --> 00:37:40,800
Speaker 1: Yeah. I mean, let's let's just compare that. For example,

748
00:37:40,880 --> 00:37:42,760
Speaker 1: so you when you're in your car or your SUV,

749
00:37:43,160 --> 00:37:45,239
Speaker 1: you turn it on and you have a million monitors

750
00:37:45,800 --> 00:37:48,239
Speaker 1: telling you real time data about everything that's happening to

751
00:37:48,320 --> 00:37:51,640
Speaker 1: your vehicle and how it's responding to a slip road,

752
00:37:52,080 --> 00:37:54,560
Speaker 1: to what the situation is with your gas tank, the

753
00:37:54,600 --> 00:37:56,520
Speaker 1: situation with your battery, all that kind of stuff that

754
00:37:56,520 --> 00:37:58,480
Speaker 1: you've have an evy and we don't have something like

755
00:37:58,520 --> 00:38:01,400
Speaker 1: that for our bodies. Someone who can create that, you know,

756
00:38:01,400 --> 00:38:03,719
Speaker 1: I feel like everyone's been talking about AI so much

757
00:38:03,719 --> 00:38:05,960
Speaker 1: they've forgotten some of the other hot parts of the

758
00:38:05,960 --> 00:38:07,760
Speaker 1: tech market that just a couple of years ago everyone

759
00:38:07,800 --> 00:38:11,359
Speaker 1: said was the big thing. Biometrics, the watches that people wear.

760
00:38:12,280 --> 00:38:14,040
Speaker 1: You know, we all know the technology could be better

761
00:38:14,080 --> 00:38:15,480
Speaker 1: with those things. It's great they gave you sort of

762
00:38:15,480 --> 00:38:17,480
Speaker 1: your heart rate, but all that stuff, there's a lot

763
00:38:17,480 --> 00:38:18,960
Speaker 1: of room to grow there, isn't there. Anne. I mean,

764
00:38:19,160 --> 00:38:21,520
Speaker 1: at one point, if I can find out should I

765
00:38:21,560 --> 00:38:23,919
Speaker 1: take that extra bite of that steak or that cake,

766
00:38:24,120 --> 00:38:25,440
Speaker 1: and I can see what it'll do. I mean, I

767
00:38:25,440 --> 00:38:26,640
Speaker 1: think that will make a lot of money for a

768
00:38:26,680 --> 00:38:28,520
Speaker 1: lot of people and actually might even save lives.

769
00:38:29,239 --> 00:38:31,560
Speaker 9: And how certain foods affect one person but not the other,

770
00:38:31,760 --> 00:38:34,000
Speaker 9: and what times today somebody eats. But you know, you know,

771
00:38:34,120 --> 00:38:37,640
Speaker 9: every everybody is different, and we need to start, you know,

772
00:38:37,680 --> 00:38:39,920
Speaker 9: looking at health and performance through that lens.

773
00:38:40,920 --> 00:38:43,960
Speaker 1: Yeah, I mean again, it's just it's a nice thing. Finally,

774
00:38:44,000 --> 00:38:45,719
Speaker 1: and I want to talk about something even bigger in

775
00:38:45,760 --> 00:38:47,960
Speaker 1: the tech or a little bit higher level tech, and

776
00:38:48,000 --> 00:38:53,480
Speaker 1: that's you know, basically a defense and weapons technology. This

777
00:38:53,560 --> 00:38:56,440
Speaker 1: has been a very obviously probably the dominant story at

778
00:38:56,520 --> 00:38:58,200
Speaker 1: least one of the top three dominant stories of the

779
00:38:58,239 --> 00:39:00,920
Speaker 1: last year for the whole world, the war of the

780
00:39:00,960 --> 00:39:04,160
Speaker 1: Hamas terrorists and Israel fighting. We have a ceasefire now,

781
00:39:04,160 --> 00:39:06,640
Speaker 1: it seems to be holding. But we learned over the

782
00:39:06,680 --> 00:39:10,120
Speaker 1: past year in a greater detail just how much the

783
00:39:10,200 --> 00:39:12,839
Speaker 1: tech industries of the United States and Israel are very

784
00:39:12,920 --> 00:39:15,160
Speaker 1: much intertwined. You know, one thing I'm showing right here

785
00:39:15,239 --> 00:39:17,799
Speaker 1: is the F thirty five. The Israelis ten years ago

786
00:39:17,880 --> 00:39:20,120
Speaker 1: doubled the stealth capacity of the F thirty five, and

787
00:39:20,160 --> 00:39:22,880
Speaker 1: when they do that they don't keep that technology to themselves.

788
00:39:22,920 --> 00:39:24,719
Speaker 1: They share it with Lockheed Martin, they share it with

789
00:39:24,719 --> 00:39:26,959
Speaker 1: the United States. That's just one example. But we also

790
00:39:27,000 --> 00:39:30,080
Speaker 1: saw iron Beam start to work this year. These are

791
00:39:30,080 --> 00:39:32,960
Speaker 1: all technologies that are very much intertwined, and we don't

792
00:39:32,960 --> 00:39:35,160
Speaker 1: want to have wars and these kinds of horrible things happen.

793
00:39:35,440 --> 00:39:38,359
Speaker 1: But you understand now what the United States gets out

794
00:39:38,400 --> 00:39:42,200
Speaker 1: of this partnership when Israel's basically test marketing some of

795
00:39:42,719 --> 00:39:44,480
Speaker 1: the systems that we want to protect us here on

796
00:39:44,520 --> 00:39:45,040
Speaker 1: the homeland.

797
00:39:46,760 --> 00:39:51,000
Speaker 9: Sure, the US Israel tech relationship, the research and developed relationships,

798
00:39:51,000 --> 00:39:56,040
Speaker 9: the scientific relationships are intertwined. Israel is inside everything you know.

799
00:39:56,480 --> 00:39:59,799
Speaker 9: Often I'm asked about traveling to Israel, and as I say,

800
00:39:59,840 --> 00:40:01,960
Speaker 9: the flights are always full, no matter what, they're full

801
00:40:02,080 --> 00:40:04,200
Speaker 9: because companies have their main R and D centers, they

802
00:40:04,200 --> 00:40:07,279
Speaker 9: have their techt scouting centers. The NASDAQ has their R

803
00:40:07,320 --> 00:40:09,320
Speaker 9: and D centers in Israel. You drive up the coast,

804
00:40:09,320 --> 00:40:12,840
Speaker 9: you see every every major US company research and development.

805
00:40:12,880 --> 00:40:16,120
Speaker 9: Research and development happens in Israel. The US global research

806
00:40:16,160 --> 00:40:18,960
Speaker 9: and development you know, happens in Israel. And it's not

807
00:40:19,080 --> 00:40:22,239
Speaker 9: just defense, it's everything from uh you know from you know,

808
00:40:22,280 --> 00:40:25,800
Speaker 9: from AI and cyber and quantum, you know, and everything

809
00:40:25,840 --> 00:40:27,960
Speaker 9: that we touch in terms of the medical industry, from

810
00:40:28,080 --> 00:40:32,440
Speaker 9: conducting clinical trials and research to the really sophisticated advanced

811
00:40:32,480 --> 00:40:36,400
Speaker 9: imaging that that that's used in every single day medical practices.

812
00:40:36,760 --> 00:40:38,640
Speaker 9: One of the ironies is when people start wanting to

813
00:40:38,640 --> 00:40:41,920
Speaker 9: talk about boycotting Israel is if they really understood to

814
00:40:42,080 --> 00:40:44,960
Speaker 9: what extent every single thing that they do that saves

815
00:40:44,960 --> 00:40:49,520
Speaker 9: the life, that enables modern day society. You know, the research,

816
00:40:49,600 --> 00:40:52,760
Speaker 9: the development, the scientists, the engineering has often taken place

817
00:40:52,760 --> 00:40:56,319
Speaker 9: in Israel, and you know, we're talking about you know,

818
00:40:56,360 --> 00:40:59,799
Speaker 9: as we open with Defense, something that's interesting is right

819
00:40:59,840 --> 00:41:04,680
Speaker 9: now now we are waiting for the National Defense Authorization

820
00:41:04,840 --> 00:41:07,400
Speaker 9: Act to pass. This is the legislation that has been

821
00:41:07,440 --> 00:41:09,719
Speaker 9: passed by Congress sixty four years in a row and

822
00:41:09,719 --> 00:41:12,600
Speaker 9: should pass this year, the sixty fifth in a row.

823
00:41:13,000 --> 00:41:15,640
Speaker 9: And in the House version, there's actually something called a

824
00:41:15,719 --> 00:41:18,279
Speaker 9: DIU Innovation Hub, And if that makes it into the

825
00:41:18,320 --> 00:41:20,759
Speaker 9: final bill, there'll be a part of the Department of

826
00:41:20,800 --> 00:41:24,080
Speaker 9: Defense that actually has an official scouting office based in Israel.

827
00:41:25,239 --> 00:41:30,040
Speaker 1: Well that's amazing. Look, folks, it's not about basically looking

828
00:41:30,080 --> 00:41:32,480
Speaker 1: at everything being perfect or good and everything else like that.

829
00:41:32,520 --> 00:41:35,200
Speaker 1: But this is important technology that we will use here,

830
00:41:35,280 --> 00:41:37,759
Speaker 1: we have used here in the United States, and it's

831
00:41:37,800 --> 00:41:39,920
Speaker 1: an important partnership and live Showtz. Thank you so much

832
00:41:39,960 --> 00:41:41,399
Speaker 1: for joining us. Have a great rest of your week,

833
00:41:41,960 --> 00:41:42,279
Speaker 1: you too.

834
00:41:42,360 --> 00:41:42,840
Speaker 9: Thanks.

835
00:41:43,640 --> 00:41:46,600
Speaker 1: Okay, coming up, let's get into this Tim Waltz scandal

836
00:41:46,640 --> 00:41:51,000
Speaker 1: in Minnesota that could and maybe really should force him

837
00:41:51,040 --> 00:41:53,600
Speaker 1: to resign. David Brody and I will do that. We'll

838
00:41:53,600 --> 00:41:56,200
Speaker 1: talk about it when American Sunrise Early Edition comes right back.

839
00:42:12,520 --> 00:42:15,840
Speaker 1: That's Saranac Lake, New York. Very mean, look at it

840
00:42:16,080 --> 00:42:19,120
Speaker 1: like a picture postcard. Did we put a camera on

841
00:42:19,160 --> 00:42:21,520
Speaker 1: an actual city where we're basically looking at a snow

842
00:42:21,560 --> 00:42:24,920
Speaker 1: globe here? I mean, honestly, that's like a Norman Rockwell,

843
00:42:25,040 --> 00:42:27,879
Speaker 1: I don't know, wish. That is just picture perfect Americana

844
00:42:27,960 --> 00:42:31,279
Speaker 1: for you here on American Sunrise Early Edition. Welcome back

845
00:42:31,640 --> 00:42:35,319
Speaker 1: to our program. David Brodie is here now. And you know, David,

846
00:42:35,360 --> 00:42:37,480
Speaker 1: I want to talk about this because this is something

847
00:42:37,480 --> 00:42:39,359
Speaker 1: that a lot of people are suppressing from we're learning

848
00:42:39,360 --> 00:42:42,720
Speaker 1: with the Ministry. Media is absolutely suppressing the story. Literally

849
00:42:42,920 --> 00:42:46,239
Speaker 1: hundreds of Minnesota state workers. These are not Trump operatives.

850
00:42:46,400 --> 00:42:51,040
Speaker 1: These aren't social media influencers. These are state workers in Minnesota.

851
00:42:51,480 --> 00:42:55,040
Speaker 1: For a long time, almost two years, have been warning everyone,

852
00:42:55,440 --> 00:42:58,360
Speaker 1: including Tim Walls, the governor, that the Somali community and

853
00:42:58,360 --> 00:43:02,000
Speaker 1: groups within the Somali community, we're dealing federal money, taking

854
00:43:02,000 --> 00:43:05,240
Speaker 1: it and funneling it over to terrorist groups. Tim Waltz

855
00:43:05,280 --> 00:43:09,240
Speaker 1: did nothing, nothing, and they even tried to warn Kamala

856
00:43:09,239 --> 00:43:10,920
Speaker 1: Harris about it. This is starting to come at now

857
00:43:10,960 --> 00:43:13,960
Speaker 1: and drips and drabs. David, I feel like this should

858
00:43:13,960 --> 00:43:18,960
Speaker 1: be existentially fatal for Tim Wats's political career. This needs

859
00:43:18,960 --> 00:43:21,160
Speaker 1: to be something that gets him to step down because

860
00:43:21,560 --> 00:43:23,239
Speaker 1: other states are just going to end up if he

861
00:43:23,280 --> 00:43:25,719
Speaker 1: doesn't get punished for this, other states are going to

862
00:43:25,719 --> 00:43:28,040
Speaker 1: go to some of these communities and work another deal

863
00:43:28,040 --> 00:43:29,719
Speaker 1: out with them just like this. That's what I think

864
00:43:29,760 --> 00:43:30,360
Speaker 1: is going to happen.

865
00:43:31,160 --> 00:43:33,600
Speaker 3: Yeah, I think this story is going to have a

866
00:43:33,640 --> 00:43:36,960
Speaker 3: lot of traction because even though Just the News reported

867
00:43:37,000 --> 00:43:39,319
Speaker 3: it at first, Let's be clear, John Solomon and the

868
00:43:39,320 --> 00:43:42,200
Speaker 3: folks over Just the News had the exclusive. The New

869
00:43:42,280 --> 00:43:44,520
Speaker 3: York Times has now decided to pick it up and

870
00:43:44,560 --> 00:43:46,520
Speaker 3: make it kind of above the fold, if you will,

871
00:43:46,600 --> 00:43:49,440
Speaker 3: or close to it, and so they're devoting a lot

872
00:43:49,440 --> 00:43:51,399
Speaker 3: of intention to it. And as you know, as Mark

873
00:43:51,440 --> 00:43:53,600
Speaker 3: Halpern used to say, the Gang of five hundred, you know,

874
00:43:53,600 --> 00:43:54,719
Speaker 3: they all follow each other.

875
00:43:54,760 --> 00:43:56,560
Speaker 1: And so after the New York.

876
00:43:56,400 --> 00:43:59,160
Speaker 3: Times publishes something, you can be sure there'll be others

877
00:43:59,200 --> 00:44:01,200
Speaker 3: that will jump on becase because oh, well, now that

878
00:44:01,239 --> 00:44:03,120
Speaker 3: the New York Times has done it, then it must

879
00:44:03,120 --> 00:44:03,760
Speaker 3: be legitimate.

880
00:44:03,840 --> 00:44:04,880
Speaker 1: Ha ha lol.

881
00:44:05,480 --> 00:44:08,920
Speaker 3: But look with Tim Walls here, what's interesting to me

882
00:44:09,120 --> 00:44:12,399
Speaker 3: is one specific line in this New York Times article,

883
00:44:12,400 --> 00:44:13,279
Speaker 3: and let me read it to you.

884
00:44:13,400 --> 00:44:13,560
Speaker 4: Here.

885
00:44:13,600 --> 00:44:18,320
Speaker 3: It is it says this red flags in the meals

886
00:44:18,400 --> 00:44:23,000
Speaker 3: program surfaced in the early months of the pandemic, but

887
00:44:23,080 --> 00:44:26,000
Speaker 3: the money kept flowing the early months of the pandemic.

888
00:44:26,000 --> 00:44:29,880
Speaker 3: That had a calculation to twenty twenty going on almost

889
00:44:29,920 --> 00:44:33,839
Speaker 3: six years now five six years. I can't keep track,

890
00:44:34,719 --> 00:44:38,520
Speaker 3: but the point is six years. I mean, you're kidding me, right, No,

891
00:44:38,680 --> 00:44:40,120
Speaker 3: we're not kidding anybody here.

892
00:44:40,160 --> 00:44:41,080
Speaker 1: And this is the problem.

893
00:44:41,160 --> 00:44:43,279
Speaker 3: And this is to your point, Jake, as to why

894
00:44:43,680 --> 00:44:48,600
Speaker 3: heads need to roll, specifically Tim head. Tim Walls's head

895
00:44:48,840 --> 00:44:52,160
Speaker 3: needs to roll, is exactly because of that that this

896
00:44:52,239 --> 00:44:54,120
Speaker 3: has been going on for a very long time, and

897
00:44:54,200 --> 00:44:57,839
Speaker 3: so the obvious question is why. Well, clearly the Somalia

898
00:44:58,880 --> 00:45:02,040
Speaker 3: migrant migrants. See they got me sucked into same migrants,

899
00:45:02,080 --> 00:45:07,080
Speaker 3: but many of them are actually naturalized citizens actually, but

900
00:45:07,280 --> 00:45:11,759
Speaker 3: the Somalia population there clearly backs Democrat policies, that's number one.

901
00:45:11,800 --> 00:45:12,600
Speaker 1: And so they were.

902
00:45:12,480 --> 00:45:15,120
Speaker 3: Going into the cookie jar, if you will, and many

903
00:45:15,200 --> 00:45:18,640
Speaker 3: state officials were looking the other way. And so this

904
00:45:18,680 --> 00:45:20,080
Speaker 3: is a big part of the problem.

905
00:45:20,400 --> 00:45:21,960
Speaker 1: This is the problem, if you will.

906
00:45:22,440 --> 00:45:24,840
Speaker 3: And so that's on Tim Walls's watch, and now he

907
00:45:24,880 --> 00:45:27,719
Speaker 3: wants to have a third term as governor. I think

908
00:45:27,719 --> 00:45:30,400
Speaker 3: it's going to be really problematic for him going forward.

909
00:45:31,280 --> 00:45:35,400
Speaker 1: Yeah, and again, like this explains so much. Like how

910
00:45:35,400 --> 00:45:37,960
Speaker 1: does elon Omar have a net worth between six and

911
00:45:38,000 --> 00:45:40,799
Speaker 1: thirty six million dollars? Six million dollars, Let's say it's

912
00:45:40,800 --> 00:45:43,359
Speaker 1: on the low end, six million dollars. There's a lot

913
00:45:43,400 --> 00:45:45,279
Speaker 1: of money in Minnesota, ya, you can buy a lot

914
00:45:45,280 --> 00:45:48,120
Speaker 1: of vikingsickets. Yeah, with that kind of money, it's really

915
00:45:48,280 --> 00:45:50,560
Speaker 1: I mean, honestly, how did she She never worked a

916
00:45:50,640 --> 00:45:52,440
Speaker 1: job that we know of before she ran for Congress.

917
00:45:52,680 --> 00:45:55,680
Speaker 1: It's not a lucrative one. This money is just going

918
00:45:55,760 --> 00:45:58,040
Speaker 1: around to people and all they have to do is

919
00:45:58,120 --> 00:46:01,200
Speaker 1: deliver block votes. You mentioned that they support the Democrats

920
00:46:01,360 --> 00:46:03,120
Speaker 1: in favor of Black Boy. You know, if you hope

921
00:46:03,160 --> 00:46:04,960
Speaker 1: you're not selling yourself short, if you can deliver block

922
00:46:05,000 --> 00:46:07,759
Speaker 1: votes through a politician wherever you're watching this, because you

923
00:46:07,760 --> 00:46:09,040
Speaker 1: can get big money apparently.

924
00:46:09,719 --> 00:46:11,920
Speaker 3: And this also goes to kind of a larger issue,

925
00:46:11,960 --> 00:46:14,880
Speaker 3: which is in essence that Minnesota's used.

926
00:46:14,719 --> 00:46:17,880
Speaker 1: The Scandinavian model here, right. I mean, you know this idea.

927
00:46:17,640 --> 00:46:21,080
Speaker 3: Of higher taxes for all of these benefits and social

928
00:46:21,160 --> 00:46:23,320
Speaker 3: services and everything. And why do you think they're have

929
00:46:23,400 --> 00:46:26,960
Speaker 3: a huge Somalia population there? Because they know where the

930
00:46:27,000 --> 00:46:29,920
Speaker 3: money is, Jake, They know exactly where it is because

931
00:46:29,960 --> 00:46:33,240
Speaker 3: Tim Wallas has enabled this for many, many years.

932
00:46:33,800 --> 00:46:35,960
Speaker 1: Wait, are you saying that Somali's didn't go to Minnesota

933
00:46:35,960 --> 00:46:39,399
Speaker 1: because it mostly likely is like their climate back home.

934
00:46:39,719 --> 00:46:43,120
Speaker 1: What they went where the money is, not where the

935
00:46:43,120 --> 00:46:45,399
Speaker 1: weather was. That's the craziest thing. What are they putting

936
00:46:45,400 --> 00:46:48,960
Speaker 1: Somali's in Minneapolis? W What a bad match? All right? Anyway,

937
00:46:49,000 --> 00:46:51,440
Speaker 1: American Sunrise, the big show is coming up from eight

938
00:46:51,520 --> 00:46:53,439
Speaker 1: to ten am. I'll see ye around nine to twenty five,

939
00:46:53,760 --> 00:46:56,040
Speaker 1: and we'll see you on early edition tomorrow right in

940
00:46:56,080 --> 00:46:57,760
Speaker 1: early at seven am. Taking attendance