1
00:00:00,120 --> 00:00:05,000
Speaker 1: Hey, Alan, and Saturday midday on another cold Saturday morning.

2
00:00:06,080 --> 00:00:08,160
Speaker 1: I'll tell you what this was one of those weeks

3
00:00:08,200 --> 00:00:11,520
Speaker 1: where it's like, Wow, what do I talk about?

4
00:00:11,560 --> 00:00:13,920
Speaker 2: Where do I begin? So much going on.

5
00:00:14,080 --> 00:00:17,239
Speaker 1: I'll tell you a lot of stories, but the one

6
00:00:17,280 --> 00:00:20,880
Speaker 1: that I want to follow and keep following closely is

7
00:00:21,000 --> 00:00:24,640
Speaker 1: the unfolding fraud in the state of Minnesota.

8
00:00:25,160 --> 00:00:28,280
Speaker 2: And it just gets bigger and bigger and bigger by

9
00:00:28,360 --> 00:00:28,800
Speaker 2: the day.

10
00:00:29,440 --> 00:00:33,440
Speaker 1: It's just amazing to me how this could go on

11
00:00:33,920 --> 00:00:37,479
Speaker 1: and nobody. You'd want to say nobody knows about it,

12
00:00:37,520 --> 00:00:41,040
Speaker 1: but they do, but nobody does anything about it. Along

13
00:00:41,080 --> 00:00:43,240
Speaker 1: those lines, eleven o'clock, we're going to be talking to

14
00:00:43,280 --> 00:00:46,879
Speaker 1: our friend Janis Heisel of the Epoch Times. Janis is

15
00:00:46,920 --> 00:00:49,400
Speaker 1: on the ground there. She filed no less than I

16
00:00:49,440 --> 00:00:53,880
Speaker 1: believe it's five separate stories this week about it, and

17
00:00:53,960 --> 00:00:58,640
Speaker 1: we will be talking to Janis at eleven o'clock about it.

18
00:00:58,640 --> 00:01:02,480
Speaker 1: It's just it's really unbelievable. It grows by the day.

19
00:01:02,520 --> 00:01:07,640
Speaker 1: As I said, it's now up to as I understand it,

20
00:01:07,720 --> 00:01:12,120
Speaker 1: eight about eight billion dollars. And this is not just

21
00:01:12,200 --> 00:01:17,640
Speaker 1: from one or two programs, but numerous benefit programs, which

22
00:01:17,680 --> 00:01:20,120
Speaker 1: of course you know where the dough comes from. That

23
00:01:20,840 --> 00:01:23,480
Speaker 1: doesn't grow on trees. It comes out of your and

24
00:01:23,600 --> 00:01:28,880
Speaker 1: my pocket. The Department of Labor is involved now. They're

25
00:01:28,959 --> 00:01:33,319
Speaker 1: sending investigators out. They call them strike teams, and I

26
00:01:33,319 --> 00:01:36,520
Speaker 1: guess there's a suspicion that there's some hanky panky and

27
00:01:36,600 --> 00:01:39,960
Speaker 1: monkey business going on with unemployment funds.

28
00:01:40,000 --> 00:01:42,199
Speaker 2: So they're on the ground out there.

29
00:01:42,240 --> 00:01:45,480
Speaker 1: The Department of Education, Lenna McMahon is on top of

30
00:01:45,520 --> 00:01:49,040
Speaker 1: it as well as all federal agencies are because this

31
00:01:49,120 --> 00:01:51,240
Speaker 1: thing is just unprecedented.

32
00:01:52,040 --> 00:01:54,040
Speaker 2: But never fear though.

33
00:01:54,080 --> 00:01:56,840
Speaker 1: I guess it's all just a big reaction because this

34
00:01:56,960 --> 00:02:01,680
Speaker 1: week Governor Tampon Tim Waugh has named a new.

35
00:02:02,560 --> 00:02:04,279
Speaker 2: Anti fraud czar.

36
00:02:05,920 --> 00:02:08,320
Speaker 1: I think you're just a little bit late on the

37
00:02:08,440 --> 00:02:14,079
Speaker 1: draw there, Governor. This person is now the new quote

38
00:02:14,240 --> 00:02:19,040
Speaker 1: Director of Program Integrity close quote Again, probably could have

39
00:02:19,120 --> 00:02:22,840
Speaker 1: used him about ten years ago. The IRS is not

40
00:02:23,160 --> 00:02:26,320
Speaker 1: now involved as well. They're looking into the money that

41
00:02:26,919 --> 00:02:30,600
Speaker 1: is going to al Shabab, which of course is a

42
00:02:30,760 --> 00:02:34,919
Speaker 1: terrorist group. Boy, when the IRS gets their hooks into you,

43
00:02:34,960 --> 00:02:40,560
Speaker 1: look out. Small Business Administration involved as well. They're looking

44
00:02:40,600 --> 00:02:45,600
Speaker 1: at who got small business loans and why. The House

45
00:02:45,720 --> 00:02:49,960
Speaker 1: Oversight Committee, thank goodness. They are now involved as well,

46
00:02:50,840 --> 00:02:55,560
Speaker 1: and it's kind of specific at this point. They're looking

47
00:02:55,600 --> 00:03:00,160
Speaker 1: into whether Governor Waltz and Attorney General Keith Ellison, and

48
00:03:00,480 --> 00:03:03,520
Speaker 1: you may recall I will remind you every time I

49
00:03:03,600 --> 00:03:06,560
Speaker 1: have to utter his name that he is a good friend,

50
00:03:06,800 --> 00:03:10,800
Speaker 1: very good friend of none other than lovable Louis Farrakhon,

51
00:03:11,200 --> 00:03:15,560
Speaker 1: who arguably is the biggest anti Semite in the history

52
00:03:15,560 --> 00:03:16,320
Speaker 1: of this country.

53
00:03:16,639 --> 00:03:18,840
Speaker 2: Their buddy buddies. At any rate.

54
00:03:19,280 --> 00:03:22,160
Speaker 1: The House Oversight Committee is going to look into whether

55
00:03:22,280 --> 00:03:29,280
Speaker 1: Governor Waltz and Attorney General Ellison ignored fraud reports from whistleblowers.

56
00:03:29,520 --> 00:03:31,200
Speaker 1: I think that's an easy one to answer.

57
00:03:31,360 --> 00:03:32,360
Speaker 2: You know, they did.

58
00:03:33,040 --> 00:03:35,640
Speaker 1: But I'll tell you what, when that committee gets their

59
00:03:35,640 --> 00:03:38,440
Speaker 1: hooks into you, they're going to find some things out.

60
00:03:39,040 --> 00:03:42,400
Speaker 1: The question is, what, if anything, can they do about it?

61
00:03:43,640 --> 00:03:46,000
Speaker 1: And there is some good news coming out of Minnesota

62
00:03:46,160 --> 00:03:51,120
Speaker 1: Operation Metro Surge from ICE. They have snared more than

63
00:03:51,280 --> 00:03:55,720
Speaker 1: four hundred illegal alliens since December, the first in the

64
00:03:55,720 --> 00:04:00,560
Speaker 1: state of Minnesota. So obviously that's a good thing. You know.

65
00:04:00,720 --> 00:04:06,440
Speaker 1: The thing is this is so screwed up, and Janis

66
00:04:06,480 --> 00:04:08,760
Speaker 1: is going to talk about this. They actually found a

67
00:04:08,800 --> 00:04:11,960
Speaker 1: person who was already indicted. And I think there were

68
00:04:12,000 --> 00:04:15,000
Speaker 1: seven indictments for fraud this week. We're going to talk

69
00:04:15,040 --> 00:04:17,320
Speaker 1: about those in a minute. But anyway, they found a

70
00:04:17,320 --> 00:04:21,120
Speaker 1: person who was already indicted for this fraud but is

71
00:04:21,160 --> 00:04:25,400
Speaker 1: still receiving payments.

72
00:04:23,960 --> 00:04:24,679
Speaker 2: From the state.

73
00:04:24,760 --> 00:04:27,680
Speaker 1: Of course it's federal money, but the payments go through

74
00:04:27,720 --> 00:04:33,000
Speaker 1: the state, still receiving some money from another fraudulent program.

75
00:04:33,520 --> 00:04:36,080
Speaker 1: You can't write this stuff up. I mean, you can't

76
00:04:36,160 --> 00:04:39,960
Speaker 1: make it up. You just can't. And again, with respect

77
00:04:40,000 --> 00:04:43,560
Speaker 1: to those new indictments, according to AI, which I have

78
00:04:43,680 --> 00:04:48,080
Speaker 1: found to be accurate, on Thursday, this Thursday, December eighteenth,

79
00:04:48,080 --> 00:04:53,640
Speaker 1: federal prosecutors unsealed new indictments against six additional individuals in

80
00:04:53,920 --> 00:04:58,280
Speaker 1: Minnesota as part of an expanding probe into multi million dollars,

81
00:04:58,760 --> 00:05:04,440
Speaker 1: in this case medicaid fraud. And this is if it

82
00:05:04,480 --> 00:05:07,680
Speaker 1: weren't so sad, it would be funny. A new term

83
00:05:07,920 --> 00:05:12,240
Speaker 1: has been coined as a result of this stuff. And

84
00:05:12,640 --> 00:05:15,000
Speaker 1: that term, and you know, I look at this stuff,

85
00:05:15,040 --> 00:05:17,640
Speaker 1: I keep up with it. I'm seeing it. With respect

86
00:05:17,680 --> 00:05:22,720
Speaker 1: to the story, the term is fraud tourists. Fraud tourists.

87
00:05:23,160 --> 00:05:25,640
Speaker 1: They are people that apparently there's quite a few of

88
00:05:25,680 --> 00:05:31,080
Speaker 1: them who traveled to Minnesota specifically to exploit these state

89
00:05:31,200 --> 00:05:36,440
Speaker 1: funded social service programs fraud tourists. So again, thank you Democrats,

90
00:05:36,760 --> 00:05:41,640
Speaker 1: Thank you tampon, Tim Keith Ellison for that fraud tourist. Okay,

91
00:05:41,680 --> 00:05:44,720
Speaker 1: here's the new programs that are getting scrutiny and where

92
00:05:44,760 --> 00:05:49,640
Speaker 1: the indictments came out of Housing Stabilization Services HHS fraud.

93
00:05:50,400 --> 00:05:53,600
Speaker 1: Five individuals assign And let me just say from the beginning,

94
00:05:53,640 --> 00:05:58,080
Speaker 1: if I mispronounce these words, I could care less these names.

95
00:05:58,640 --> 00:06:05,960
Speaker 1: Hassan Ahmad, who said Ahmad abadibidab Mohammad, Kamil, Omar Salah, Anthony, Well,

96
00:06:06,000 --> 00:06:10,040
Speaker 1: here we go, some normal ones, Anthony Waddell, Jefferson and

97
00:06:10,120 --> 00:06:13,839
Speaker 1: Lester Brown. They're all charged with the frauding programs that

98
00:06:13,920 --> 00:06:17,880
Speaker 1: provide housing assistance for people with disabilities and mental illness.

99
00:06:18,360 --> 00:06:20,599
Speaker 1: So I mean, if you're going to screw somebody, I

100
00:06:20,640 --> 00:06:26,000
Speaker 1: guess in their warped mind, these kind of people, these

101
00:06:26,080 --> 00:06:30,200
Speaker 1: vulnerable people are okay to screw. Well anyway, our buddies

102
00:06:30,279 --> 00:06:33,200
Speaker 1: Hussein and Mohammed and you know, by the way, and

103
00:06:33,360 --> 00:06:34,920
Speaker 1: I'll probably catch some crap for this.

104
00:06:35,000 --> 00:06:35,599
Speaker 2: I don't care.

105
00:06:36,200 --> 00:06:40,080
Speaker 1: You know, wasn't it to deal with originally with people

106
00:06:40,120 --> 00:06:44,599
Speaker 1: coming into our country, citizens coming into Ellis Island, that

107
00:06:44,800 --> 00:06:47,200
Speaker 1: not all of them, not all of them, but many

108
00:06:47,240 --> 00:06:51,880
Speaker 1: of them americanized their names. Well, you don't see any

109
00:06:51,920 --> 00:06:56,320
Speaker 1: of that anymore. It's obvious, just throwing that out there anyway,

110
00:06:56,640 --> 00:07:01,120
Speaker 1: Hussein to Mohammed, they are the owners of Pristine Health LLC.

111
00:07:01,920 --> 00:07:05,760
Speaker 1: They allegedly used seven hundred and fifty thousand dollars in

112
00:07:05,839 --> 00:07:10,760
Speaker 1: stolen Medicaid funds for extensive international travel that you and

113
00:07:10,800 --> 00:07:14,880
Speaker 1: I are paying for. Jefferson and Brow reportedly moved to

114
00:07:14,920 --> 00:07:18,720
Speaker 1: Minnesota after being told the state's programs were a quote

115
00:07:19,200 --> 00:07:21,160
Speaker 1: good opportunity to make money.

116
00:07:21,360 --> 00:07:24,520
Speaker 2: You know, there's your fraud tourist submitting up.

117
00:07:24,400 --> 00:07:29,600
Speaker 1: To three point five million in false bills despite having

118
00:07:29,720 --> 00:07:34,000
Speaker 1: no network in the local community. And we learned about

119
00:07:34,000 --> 00:07:39,160
Speaker 1: this one last week. The autism program fraud abadibidab Hassan

120
00:07:40,440 --> 00:07:43,840
Speaker 1: was indicted for allegedly registering a company to channel state

121
00:07:43,920 --> 00:07:48,880
Speaker 1: resources intended for families of children with autism. Isn't that great?

122
00:07:49,320 --> 00:07:52,600
Speaker 1: Let's screw those people over. He is accused of stealing

123
00:07:52,640 --> 00:07:55,120
Speaker 1: it its only six million and using a portion of

124
00:07:55,160 --> 00:08:00,440
Speaker 1: the funds to purchase are you ready, not a luxury vehicle,

125
00:08:00,960 --> 00:08:04,760
Speaker 1: but a semi truck. Now you know what I could

126
00:08:04,840 --> 00:08:08,760
Speaker 1: see where you would probably need a semi to fight autism.

127
00:08:09,240 --> 00:08:13,960
Speaker 1: Of course, I say that very tongue in cheek. Allegations

128
00:08:14,000 --> 00:08:16,880
Speaker 1: of terrorists funding federal authorities. As I said before, are

129
00:08:16,920 --> 00:08:20,560
Speaker 1: investigating claims that a portion of these defrauded tax dollars,

130
00:08:20,960 --> 00:08:24,520
Speaker 1: your dollars, my dollars may have been diverted to the

131
00:08:24,840 --> 00:08:33,600
Speaker 1: terrorist organization Al Shabab in are you ready Somalia? So again,

132
00:08:33,760 --> 00:08:36,240
Speaker 1: just another word about these fraud tourists. They travel to

133
00:08:36,280 --> 00:08:40,960
Speaker 1: Minnesota after a friend told them that state programs were

134
00:08:41,120 --> 00:08:45,080
Speaker 1: again quote, a good opportunity to make some money. That's

135
00:08:45,080 --> 00:08:48,120
Speaker 1: what the prosecutors say. That's what they are alleging. They

136
00:08:48,120 --> 00:08:52,520
Speaker 1: are saying that Minnesota has become a magnet for fraud,

137
00:08:53,360 --> 00:08:59,600
Speaker 1: so much so that we have developed a fraud tourism industry. So,

138
00:09:00,080 --> 00:09:03,680
Speaker 1: like I said, it's hard to imagine this getting any worse,

139
00:09:03,720 --> 00:09:10,000
Speaker 1: but it probably will. Okay, Now at this point you're

140
00:09:10,040 --> 00:09:15,720
Speaker 1: probably asking yourself, how could this have happened? Why didn't

141
00:09:15,960 --> 00:09:20,240
Speaker 1: someone do something about it? Well, you know, I think

142
00:09:20,280 --> 00:09:24,120
Speaker 1: I have at least a partial answer to that, and

143
00:09:24,280 --> 00:09:27,360
Speaker 1: I'm going to talk about an article that appeared on

144
00:09:27,880 --> 00:09:31,959
Speaker 1: Fox on the website, not I don't think it was

145
00:09:32,000 --> 00:09:35,440
Speaker 1: on TV, but on the website. And I just want

146
00:09:35,440 --> 00:09:37,800
Speaker 1: to read a few passages from me because it answers

147
00:09:37,840 --> 00:09:41,920
Speaker 1: the question how could this have happened? And why didn't

148
00:09:41,920 --> 00:09:45,520
Speaker 1: somebody do something about it? Okay, it's by Andrew Miller,

149
00:09:45,640 --> 00:09:49,760
Speaker 1: and it's entitled how fears of being labeled racist help

150
00:09:49,840 --> 00:09:54,720
Speaker 1: provide cover for the exploding Minnesota fraud scandal. I really

151
00:09:54,880 --> 00:09:58,319
Speaker 1: probably don't have to read anymore just from that headline,

152
00:09:58,360 --> 00:10:03,440
Speaker 1: but I will. Aftermath of the massive Feeding our Future

153
00:10:03,559 --> 00:10:09,480
Speaker 1: scandal and broader allegations of systemic fraud in Minnesota's social programs,

154
00:10:09,760 --> 00:10:16,560
Speaker 1: a troubling theme has emerged. Accusations of racism repeatedly used

155
00:10:16,600 --> 00:10:23,720
Speaker 1: to deflect scrutiny, intimidate investigators, install accountability rumors, and reports

156
00:10:23,720 --> 00:10:30,160
Speaker 1: of fraud in Minneapolis, primarily within the cities exploding Somali community. Now,

157
00:10:30,360 --> 00:10:33,920
Speaker 1: I gotta be careful about about saying that. You really

158
00:10:33,960 --> 00:10:37,960
Speaker 1: got to be careful, you know, you just you're not

159
00:10:38,000 --> 00:10:41,319
Speaker 1: allowed to do that, because not all of them are

160
00:10:41,360 --> 00:10:43,920
Speaker 1: doing this stuff, only about ninety percent of them, I guess.

161
00:10:43,960 --> 00:10:47,880
Speaker 1: But he just that's something that they've been beating a

162
00:10:48,000 --> 00:10:52,959
Speaker 1: drum on anyway, primarily within the cities. Exploding Somali community

163
00:10:53,800 --> 00:10:57,200
Speaker 1: have been circulating at least for a decade, but criticism

164
00:10:57,320 --> 00:11:02,000
Speaker 1: of the fraud has been largely dis missed by elected Democrats.

165
00:11:02,559 --> 00:11:08,680
Speaker 1: Two wit tampon tim as racist or being underpinned by

166
00:11:09,360 --> 00:11:14,880
Speaker 1: animosity towards foreigners. News stories focused on Somali fraudsters in

167
00:11:15,000 --> 00:11:20,560
Speaker 1: recent years were shot down as racist. So you wonder

168
00:11:20,640 --> 00:11:24,680
Speaker 1: why nobody's done anything about it. I think, at least

169
00:11:24,720 --> 00:11:27,800
Speaker 1: in part that is Your answer goes on to say

170
00:11:28,480 --> 00:11:31,800
Speaker 1: the whole story kind of died under these accusations that

171
00:11:31,880 --> 00:11:35,439
Speaker 1: people were being called racist. This guy named Bill Glen,

172
00:11:35,559 --> 00:11:38,880
Speaker 1: he's a policy fellow with the Center of the American Experience.

173
00:11:39,559 --> 00:11:43,240
Speaker 1: He told Fox News quote, Oh, maybe somebody stole a

174
00:11:43,240 --> 00:11:45,760
Speaker 1: little bit here, a little bit there, but there's nothing

175
00:11:45,880 --> 00:11:48,760
Speaker 1: systemic going on close quote.

176
00:11:48,920 --> 00:11:50,640
Speaker 2: I don't know if he said that tongue in cheek

177
00:11:50,720 --> 00:11:50,920
Speaker 2: or not.

178
00:11:51,920 --> 00:11:56,600
Speaker 1: Former US Assistant Attorney Assistant US Attorney Joe Tarab, who

179
00:11:56,640 --> 00:12:00,360
Speaker 1: helped take on federal prosecutors in the Eating Few Future

180
00:12:00,520 --> 00:12:02,680
Speaker 1: case that was the first one they found out about,

181
00:12:03,440 --> 00:12:07,320
Speaker 1: described to Fox News digital how individuals implicated in the

182
00:12:07,360 --> 00:12:11,640
Speaker 1: fraud leaned on racial accusations as a shield.

183
00:12:12,080 --> 00:12:12,640
Speaker 2: Listen to this.

184
00:12:13,400 --> 00:12:19,240
Speaker 1: According to to read, suspects explicitly invoked race during a

185
00:12:19,320 --> 00:12:23,840
Speaker 1: sleep secretly recorded meeting with none other than a dear

186
00:12:23,920 --> 00:12:28,079
Speaker 1: friend of lovable Louis fair con Attorney General Keith Ellison,

187
00:12:28,800 --> 00:12:36,880
Speaker 1: asserting that investigators were targeting them only because of their race. Well,

188
00:12:36,960 --> 00:12:40,640
Speaker 1: there you have it, folks, once again, once again, the

189
00:12:40,679 --> 00:12:46,280
Speaker 1: American citizens and taxpayers come last. You just throw these

190
00:12:46,720 --> 00:12:51,320
Speaker 1: idiotic accusations out there, and let's just see where it

191
00:12:51,400 --> 00:12:52,199
Speaker 1: goes from there.

192
00:12:52,240 --> 00:12:54,720
Speaker 2: You know, it's just disgusting.

193
00:12:55,600 --> 00:12:59,079
Speaker 1: Well, you know, again there's your answer as to how

194
00:12:59,160 --> 00:13:02,000
Speaker 1: this could have happened and nobody did anything about it.

195
00:13:02,440 --> 00:13:03,440
Speaker 2: You look at the players.

196
00:13:03,840 --> 00:13:09,240
Speaker 1: Tim Waltz, what a buffoon of the highest degree. You're

197
00:13:09,280 --> 00:13:13,480
Speaker 1: gonna tell me that he's governor of this state and

198
00:13:13,600 --> 00:13:18,120
Speaker 1: he doesn't know this crap's going on. Please the attorney general,

199
00:13:19,559 --> 00:13:22,560
Speaker 1: he doesn't know what's going on. I mean, there's just

200
00:13:22,720 --> 00:13:27,520
Speaker 1: no way that that can be. And like I said,

201
00:13:27,559 --> 00:13:31,440
Speaker 1: once again, the American taxpayers, you and I we take

202
00:13:31,440 --> 00:13:33,880
Speaker 1: it on the chin a big time.

203
00:13:34,320 --> 00:13:36,280
Speaker 2: And again you're gonna hear this over and over.

204
00:13:36,760 --> 00:13:39,839
Speaker 1: I think we're only scratching the surface so far at

205
00:13:39,880 --> 00:13:42,720
Speaker 1: the six to eight billion. I'm gonna talk to Janis

206
00:13:42,760 --> 00:13:46,880
Speaker 1: about that and ask her her thoughts. Here's an example.

207
00:13:47,120 --> 00:13:49,200
Speaker 1: I just want to give you a practical example of

208
00:13:49,240 --> 00:13:53,640
Speaker 1: what's driving this stuff. Okay, this week, when a reporter

209
00:13:53,880 --> 00:13:58,640
Speaker 1: asked Governor Waltz if he wanted the Somali community to

210
00:13:58,800 --> 00:14:01,960
Speaker 1: step up and take some ownership of this problem. Can

211
00:14:02,000 --> 00:14:07,199
Speaker 1: you imagine that being held accountable take ownership? Anyway, when

212
00:14:07,200 --> 00:14:09,920
Speaker 1: they ask him about that, here's what he said, and

213
00:14:09,960 --> 00:14:15,360
Speaker 1: I'm quoting him, Governor Waltz tampon, Tim, Look, it's not

214
00:14:15,480 --> 00:14:19,920
Speaker 1: law abiding citizens. If that were the case, there's a

215
00:14:19,960 --> 00:14:24,080
Speaker 1: lot of white men. Should be holding a lot of

216
00:14:24,280 --> 00:14:28,040
Speaker 1: white men accountable for the crimes that they have committed.

217
00:14:28,960 --> 00:14:32,000
Speaker 1: He goes on to say, I think for the community

218
00:14:32,080 --> 00:14:36,960
Speaker 1: to maybe educate their population, because I think what you're

219
00:14:37,000 --> 00:14:41,600
Speaker 1: seeing here is there's secondary victims in this that there's

220
00:14:41,720 --> 00:14:46,840
Speaker 1: providers inside the community that are then victimizing the community

221
00:14:47,160 --> 00:14:51,520
Speaker 1: themselves by signing up. Because when you're going when you're

222
00:14:51,560 --> 00:14:54,480
Speaker 1: going to some of the some of these people they're

223
00:14:54,520 --> 00:14:58,880
Speaker 1: like this is amazing. They're like I had no idea.

224
00:14:59,360 --> 00:15:03,640
Speaker 1: I was in this program, so I think it's asking

225
00:15:03,800 --> 00:15:07,480
Speaker 1: this then, you know, for every crime, which of course

226
00:15:07,560 --> 00:15:12,520
Speaker 1: the majority being committed, the majority are being committed by

227
00:15:12,840 --> 00:15:17,280
Speaker 1: white men, asking us to do more about that, I

228
00:15:17,440 --> 00:15:22,040
Speaker 1: think it's crime in general. Folks there, It is the

229
00:15:22,400 --> 00:15:27,440
Speaker 1: typical liberal solution when they don't have a legitimate answer

230
00:15:27,440 --> 00:15:28,120
Speaker 1: for anything.

231
00:15:28,680 --> 00:15:32,960
Speaker 2: Two things, scream racism, blame white men.

232
00:15:33,400 --> 00:15:38,080
Speaker 1: I can't believe this buffoon actually said that.

233
00:15:40,080 --> 00:15:42,640
Speaker 2: You see, you know, white men are.

234
00:15:42,560 --> 00:15:46,520
Speaker 1: The punching bag for just about everything, it seems like

235
00:15:46,640 --> 00:15:49,600
Speaker 1: these days. You know, I want to look at the

236
00:15:49,600 --> 00:15:52,520
Speaker 1: cast of characters involved in this, but we don't have

237
00:15:52,560 --> 00:15:55,400
Speaker 1: time to do it now, but maybe sometime later in

238
00:15:55,440 --> 00:15:58,360
Speaker 1: the show. But it's you got your il han omar

239
00:15:58,760 --> 00:16:01,560
Speaker 1: as I said Keith Ellis, and boy there's some other

240
00:16:01,640 --> 00:16:04,120
Speaker 1: shady characters and we're going to take a look at them.

241
00:16:04,200 --> 00:16:06,560
Speaker 1: But for now, hey, you know, that's what I think.

242
00:16:06,640 --> 00:16:08,760
Speaker 1: I want to know what you think. Seven four nine,

243
00:16:08,800 --> 00:16:11,920
Speaker 1: seven thousand, eight hundred The big one are the numbers.

244
00:16:12,520 --> 00:16:18,600
Speaker 1: Mike Allen Saturday, Mind Now, nine thirty nine, News Radio

245
00:16:18,760 --> 00:16:19,920
Speaker 1: seven hundred WLW.

246
00:16:20,000 --> 00:16:21,400
Speaker 2: Mike Allen Saturday.

247
00:16:21,000 --> 00:16:28,080
Speaker 1: Midday talking about the growing and unfolding scandals plural in

248
00:16:28,160 --> 00:16:32,280
Speaker 1: the state of Minnesota where they're doling out your taxpayer

249
00:16:32,360 --> 00:16:36,120
Speaker 1: dollars because again most of it's federal to just about

250
00:16:36,160 --> 00:16:40,280
Speaker 1: anyone for just about anything. Hey, I'm going to get

251
00:16:40,280 --> 00:16:43,040
Speaker 1: to the calls here in just a minute. By the way,

252
00:16:43,360 --> 00:16:46,520
Speaker 1: open lines of course, from nine thirty to ten, also

253
00:16:47,120 --> 00:16:51,640
Speaker 1: this morning from ten till ten thirty and eleven thirty

254
00:16:51,680 --> 00:16:55,160
Speaker 1: to noon, so lots of time to talk today if

255
00:16:55,200 --> 00:16:58,480
Speaker 1: you would like to do that. Seven four nine, seven thousand, one,

256
00:16:58,560 --> 00:17:01,960
Speaker 1: eight hundred, the big one are the just for a

257
00:17:02,000 --> 00:17:03,480
Speaker 1: minute or so here, I wanted to give you an

258
00:17:03,520 --> 00:17:07,399
Speaker 1: idea to cast the characters involved in this. And again

259
00:17:07,800 --> 00:17:11,760
Speaker 1: this is just a small part of the fraud. These

260
00:17:11,800 --> 00:17:16,160
Speaker 1: people have been identified so far. These are mainly, as

261
00:17:16,160 --> 00:17:20,960
Speaker 1: I understand it, from the Feeding our Future program alleged

262
00:17:20,960 --> 00:17:24,760
Speaker 1: program where all these meals for kids were supposed to

263
00:17:24,800 --> 00:17:29,679
Speaker 1: be prepared and given to the kids. Apparently almost none were.

264
00:17:30,440 --> 00:17:36,120
Speaker 1: And then another particularly onerous one is the Kid's Autism

265
00:17:36,200 --> 00:17:39,320
Speaker 1: Program or the purpose of it was to help kids

266
00:17:39,359 --> 00:17:44,600
Speaker 1: with autism, but again it was just a front for theft. Okay,

267
00:17:45,200 --> 00:17:48,120
Speaker 1: with respect to those two programs, you got a guy

268
00:17:48,200 --> 00:17:52,919
Speaker 1: named Salim Ahmed said, he's the former owner of a

269
00:17:52,960 --> 00:17:59,240
Speaker 1: popular restaurant. I think it's called Safari Restaurant. Okay, well

270
00:18:00,200 --> 00:18:03,080
Speaker 1: if you look at it, then you take Ilhan Omar.

271
00:18:03,160 --> 00:18:04,919
Speaker 2: We all know about her and who she is.

272
00:18:05,560 --> 00:18:09,520
Speaker 1: She held her twenty eighteen congressional victory party at are

273
00:18:09,520 --> 00:18:13,879
Speaker 1: you ready the Safari Restaurant, and she has appeared with

274
00:18:14,600 --> 00:18:20,359
Speaker 1: mister Salim Ahmad said at numerous political and civil events.

275
00:18:20,840 --> 00:18:25,680
Speaker 1: Now does that necessarily mean that Ilhan omer Omar has

276
00:18:25,760 --> 00:18:28,320
Speaker 1: her hand in the cookie jar? No, it does not,

277
00:18:28,880 --> 00:18:32,399
Speaker 1: but I think it's appropriate and there's nothing wrong with

278
00:18:33,160 --> 00:18:34,760
Speaker 1: pointing things like that out.

279
00:18:35,760 --> 00:18:36,119
Speaker 2: Okay.

280
00:18:37,160 --> 00:18:39,399
Speaker 1: Then you have a person by the name of Hadji

281
00:18:39,560 --> 00:18:43,640
Speaker 1: Asman Salad. He claimed to be a vendor for more

282
00:18:43,680 --> 00:18:48,600
Speaker 1: than are you ready fifteen million dollars of meals delivered

283
00:18:48,960 --> 00:18:53,280
Speaker 1: next to none, next to none, fifteen million. There have

284
00:18:53,320 --> 00:18:54,280
Speaker 1: been some good meals.

285
00:18:55,000 --> 00:18:55,200
Speaker 3: Oh.

286
00:18:55,400 --> 00:19:00,560
Speaker 1: Then let's see a guy named Abazi beizuz Od Shafari

287
00:19:00,600 --> 00:19:04,160
Speaker 1: Farrah that a little bit of a part of this thing.

288
00:19:04,240 --> 00:19:08,800
Speaker 1: His company allegedly stole more than forty seven million bucks.

289
00:19:09,160 --> 00:19:09,560
Speaker 2: Okay.

290
00:19:10,240 --> 00:19:15,600
Speaker 1: Then you go to Gandhi Yusef Mohammad oh he donated

291
00:19:15,640 --> 00:19:20,200
Speaker 1: to Keith Allison, Attorney General, Keith Ellison, friend of Louis Farrakhan,

292
00:19:20,520 --> 00:19:25,040
Speaker 1: Keith Ellison's reelection campaign. Hey, he was charged with laundering

293
00:19:25,040 --> 00:19:29,320
Speaker 1: about one point one million bucks. Then you go to

294
00:19:29,800 --> 00:19:35,879
Speaker 1: an individual by the name of Lebon Ali Shier donated

295
00:19:35,960 --> 00:19:39,520
Speaker 1: again to Keith Ellison's campaign. He was charged in the

296
00:19:39,760 --> 00:19:44,440
Speaker 1: Meal program scheme. Then of course you got Keith Ellison.

297
00:19:44,760 --> 00:19:48,160
Speaker 1: He took donations, as I just said, from Gandhi and

298
00:19:48,359 --> 00:19:53,760
Speaker 1: Lebon And again, does that mean that because he took

299
00:19:53,800 --> 00:19:57,680
Speaker 1: money from them for his campaign that he did anything illegal.

300
00:19:57,720 --> 00:20:00,800
Speaker 1: I think he can argue it's damn improper, but no,

301
00:20:00,920 --> 00:20:03,879
Speaker 1: it does not. But again, I think it's appropriate and

302
00:20:03,920 --> 00:20:07,560
Speaker 1: I think it's helpful to point those things out. Just

303
00:20:07,640 --> 00:20:10,400
Speaker 1: another couple of things here I can get to real quick,

304
00:20:10,440 --> 00:20:13,920
Speaker 1: but I think they're important. This two hundred and fifty

305
00:20:13,960 --> 00:20:16,399
Speaker 1: million dollar fraud scheme that I was just talking about,

306
00:20:17,440 --> 00:20:20,600
Speaker 1: where the funds were meant to go to, what they

307
00:20:20,640 --> 00:20:25,400
Speaker 1: were meant to do. Okay, feeding our Kids program, that's

308
00:20:26,119 --> 00:20:28,520
Speaker 1: the main one it was supposed to help. It was

309
00:20:28,560 --> 00:20:33,600
Speaker 1: supposed to help recovering addicts find a place to live.

310
00:20:33,960 --> 00:20:36,840
Speaker 1: We talked about that last week. A hell of a good,

311
00:20:37,320 --> 00:20:41,000
Speaker 1: noble cause, but again next to nothing was spent on that. Also,

312
00:20:41,080 --> 00:20:45,080
Speaker 1: the funds were supposed to help disabled adults live independently,

313
00:20:45,560 --> 00:20:49,280
Speaker 1: again another good cause. And it was supposed to go

314
00:20:49,320 --> 00:20:52,080
Speaker 1: to help one on one therapy for and this is

315
00:20:52,160 --> 00:20:57,800
Speaker 1: particularly disgusting autistic children. And I think it's probably about

316
00:20:58,080 --> 00:21:02,960
Speaker 1: zero dollars. When to that, Now where the funds did

317
00:21:03,200 --> 00:21:09,280
Speaker 1: actually go wire transfers to China and East Africa. Read

318
00:21:09,320 --> 00:21:13,560
Speaker 1: into that, whatever you want. They actually went to funding

319
00:21:13,760 --> 00:21:18,320
Speaker 1: a villa of money for a villa in the Maldives,

320
00:21:18,960 --> 00:21:24,359
Speaker 1: first class plane tickets to Istanbul and Amsterdam read into

321
00:21:24,400 --> 00:21:29,879
Speaker 1: that whatever you want. Also, stacks of cash apparently was

322
00:21:29,960 --> 00:21:31,920
Speaker 1: texted between defendants.

323
00:21:31,960 --> 00:21:32,919
Speaker 2: That's the allegation.

324
00:21:33,840 --> 00:21:38,560
Speaker 1: The funds went to luxury cars, lakefront property in Minnesota,

325
00:21:38,600 --> 00:21:42,960
Speaker 1: and designer jewelry. Well, there you have it, folks, there's

326
00:21:43,000 --> 00:21:48,240
Speaker 1: your tax dollars at work. And this is exactly exactly

327
00:21:48,320 --> 00:21:54,400
Speaker 1: what happens when you put liberals in charge of money.

328
00:21:55,000 --> 00:21:57,720
Speaker 1: This scene is not a new one. The extent of

329
00:21:57,760 --> 00:22:03,439
Speaker 1: it is probably new, but not the facts of what happened. Really, Okay,

330
00:22:03,880 --> 00:22:06,679
Speaker 1: let's go to the phones. Let's stop with start with

331
00:22:07,000 --> 00:22:12,000
Speaker 1: kurt in Madisonville. He wants me to be careful with exploiting. Kurt,

332
00:22:12,040 --> 00:22:12,640
Speaker 1: how you doing?

333
00:22:14,280 --> 00:22:15,760
Speaker 4: Hey more, Mike, how are you?

334
00:22:16,000 --> 00:22:16,240
Speaker 2: Jude?

335
00:22:17,359 --> 00:22:21,040
Speaker 4: Yeah, so you need to be very very careful with

336
00:22:21,080 --> 00:22:22,280
Speaker 4: the language that you're using.

337
00:22:22,400 --> 00:22:24,240
Speaker 2: Okay, you're talking about tell me.

338
00:22:24,119 --> 00:22:30,080
Speaker 4: What exploding Somali populations. That's a real possibility.

339
00:22:30,160 --> 00:22:30,600
Speaker 5: I think.

340
00:22:31,160 --> 00:22:32,280
Speaker 3: Okay, well, let.

341
00:22:32,240 --> 00:22:33,040
Speaker 2: Me stop you there.

342
00:22:33,400 --> 00:22:38,800
Speaker 1: Obviously I didn't mean detonating explosives for them, you know,

343
00:22:39,080 --> 00:22:40,320
Speaker 1: I know, Okay.

344
00:22:40,119 --> 00:22:42,680
Speaker 4: I know, I'm just I'm just giving you.

345
00:22:42,640 --> 00:22:44,800
Speaker 2: A hard go ahead. That's fine.

346
00:22:45,920 --> 00:22:51,880
Speaker 4: But honestly, this entire Minnesota thing is just it's how

347
00:22:51,920 --> 00:22:59,160
Speaker 4: much more of it is going on and where Kurt everywhere? Yeah,

348
00:22:59,359 --> 00:23:02,320
Speaker 4: we gotta get rid of these people. I mean, I'm sorry,

349
00:23:02,760 --> 00:23:05,560
Speaker 4: we just we every last one of them that came over.

350
00:23:05,880 --> 00:23:08,400
Speaker 4: We got to get rid of these people and take

351
00:23:08,480 --> 00:23:09,720
Speaker 4: this country.

352
00:23:09,320 --> 00:23:12,360
Speaker 1: Back exactly exactly as far as getting rid of them,

353
00:23:12,680 --> 00:23:15,040
Speaker 1: we have to do. We have to do that within

354
00:23:15,280 --> 00:23:17,400
Speaker 1: you know what the laws says that we can do.

355
00:23:17,880 --> 00:23:20,840
Speaker 4: But I think I'm not I'm not suggesting that we

356
00:23:20,880 --> 00:23:24,360
Speaker 4: go out, you know, And I get that, I get

357
00:23:24,400 --> 00:23:28,320
Speaker 4: that saying we need we need to send them back where.

358
00:23:28,080 --> 00:23:28,760
Speaker 6: They came from.

359
00:23:28,840 --> 00:23:31,080
Speaker 1: You know, and the other thing too. And I've already

360
00:23:31,080 --> 00:23:35,040
Speaker 1: gotten some crap on this one, you know. Uh tampon

361
00:23:35,119 --> 00:23:37,639
Speaker 1: Tim said, well, you know, these white males, if it

362
00:23:37,680 --> 00:23:38,560
Speaker 1: were that, it would be different.

363
00:23:38,560 --> 00:23:39,320
Speaker 2: Blah blah blah.

364
00:23:39,359 --> 00:23:41,040
Speaker 1: I read something and I'm gonna I think it was

365
00:23:41,119 --> 00:23:43,359
Speaker 1: one of Janis Heisel's articles.

366
00:23:43,400 --> 00:23:44,240
Speaker 2: I'm gonna ask her.

367
00:23:44,680 --> 00:23:48,600
Speaker 1: It's like, she's great, very good, very good, thank you

368
00:23:48,640 --> 00:23:51,639
Speaker 1: for I'll pass that on to her. Uh, it's ninety

369
00:23:51,800 --> 00:23:57,320
Speaker 1: something percent of the people indicted are of Somalian background.

370
00:23:57,560 --> 00:24:00,960
Speaker 1: I mean, why aren't you allowed to say that? Why

371
00:24:01,000 --> 00:24:05,240
Speaker 1: are these people in our country? I don't I'm gonna

372
00:24:05,280 --> 00:24:07,359
Speaker 1: say that until the damn cows come home.

373
00:24:08,200 --> 00:24:13,560
Speaker 4: Yeah. I couldn't agree more. Yeah, I mean, but until

374
00:24:15,440 --> 00:24:18,840
Speaker 4: you know, we we we just got to get rid

375
00:24:18,840 --> 00:24:22,080
Speaker 4: of them. We need to start deporting all these their

376
00:24:22,160 --> 00:24:30,960
Speaker 4: their interlopers. They are just here just feeding off of us.

377
00:24:30,920 --> 00:24:31,359
Speaker 2: Of us.

378
00:24:31,560 --> 00:24:34,280
Speaker 1: And you know, it's been pretty well thick of it,

379
00:24:34,400 --> 00:24:38,720
Speaker 1: pretty well documented. Uh so far at least that you know,

380
00:24:38,760 --> 00:24:41,480
Speaker 1: people scratch their heads like you and I say, how

381
00:24:41,560 --> 00:24:44,960
Speaker 1: could this have happened and nobody knew and or did

382
00:24:45,000 --> 00:24:45,840
Speaker 1: anything about it?

383
00:24:46,000 --> 00:24:49,080
Speaker 2: Well, it's the accusations of racism.

384
00:24:49,440 --> 00:24:52,640
Speaker 1: Let's just throw and then you know, guys like Tampon,

385
00:24:52,720 --> 00:24:56,320
Speaker 1: Tim and Ellison, they go cower in their corner. Oh,

386
00:24:56,359 --> 00:24:58,840
Speaker 1: we can't do anything about that. And with respect to

387
00:24:58,920 --> 00:25:02,880
Speaker 1: Ellison and probably Waltz too, they probably got campaign dough

388
00:25:02,920 --> 00:25:05,879
Speaker 1: from them. So look, I think we're only at the

389
00:25:05,920 --> 00:25:08,880
Speaker 1: beginning of this thing, Kurt. But I appreciate the call.

390
00:25:09,160 --> 00:25:12,400
Speaker 1: I appreciate the tongue in cheek nature of what you said, too.

391
00:25:12,880 --> 00:25:14,439
Speaker 2: I really do well.

392
00:25:14,480 --> 00:25:16,600
Speaker 4: Like I said, be careful when you start talking about

393
00:25:16,640 --> 00:25:17,639
Speaker 4: exploding small.

394
00:25:17,840 --> 00:25:22,880
Speaker 1: I hear you, buddy, hear you, thank you? Okay, thanks, Yeah,

395
00:25:23,000 --> 00:25:25,679
Speaker 1: you know. And guess, in a way, he's right. You

396
00:25:25,720 --> 00:25:28,280
Speaker 1: do have to watch what you say. But I ain't

397
00:25:28,320 --> 00:25:32,679
Speaker 1: holding back and I don't care. I could care less

398
00:25:33,359 --> 00:25:37,080
Speaker 1: if some live out there and say, oh, he's saying this,

399
00:25:37,520 --> 00:25:39,320
Speaker 1: he's mispronouncing their names.

400
00:25:39,680 --> 00:25:46,520
Speaker 2: Guess what, I don't care. Like so many Americans, I'm

401
00:25:46,840 --> 00:25:47,480
Speaker 2: sick of it.

402
00:25:47,960 --> 00:25:52,199
Speaker 1: Why should we the taxpayers have to fund this and

403
00:25:52,240 --> 00:25:55,919
Speaker 1: put up with it? You know, Ellison and mainly uh

404
00:25:57,040 --> 00:26:03,040
Speaker 1: Governor Waltz, they should resign immediately. And they I don't know,

405
00:26:03,560 --> 00:26:07,400
Speaker 1: there's a federal criminal charge for just about everything, and

406
00:26:07,760 --> 00:26:12,159
Speaker 1: negligence can be It frequently is not, it's rare, but

407
00:26:12,320 --> 00:26:16,239
Speaker 1: negligence can be the basis of a criminal charge. I

408
00:26:16,280 --> 00:26:19,920
Speaker 1: think this is at least negligence, and probably much much

409
00:26:19,960 --> 00:26:22,880
Speaker 1: more than that. And again, what are we like three

410
00:26:22,920 --> 00:26:26,320
Speaker 1: weeks into this thing. It's just gonna keep getting worse

411
00:26:26,480 --> 00:26:30,320
Speaker 1: and worse. And it's a shame with all the legitimate

412
00:26:30,480 --> 00:26:33,480
Speaker 1: needs that we have. And you know, I just read

413
00:26:33,520 --> 00:26:37,240
Speaker 1: to some of them. I mean, kids with autism. You're

414
00:26:37,280 --> 00:26:40,680
Speaker 1: gonna screw parents of kids with autism, you to take

415
00:26:40,800 --> 00:26:45,119
Speaker 1: money away from them. It's just again, it would be

416
00:26:45,200 --> 00:26:49,240
Speaker 1: hard to write a worse script than it truly is. Hey,

417
00:26:49,320 --> 00:26:53,320
Speaker 1: let's talk to Fred down in Saint Petersburg. Hey, Fred, how.

418
00:26:53,119 --> 00:26:53,600
Speaker 2: Are you doing.

419
00:26:54,440 --> 00:26:57,840
Speaker 7: I'm doing fine. Uh you mentioned the Safari restaurant. Yeah,

420
00:26:57,880 --> 00:27:00,280
Speaker 7: about eight six, eight months ago, there was a guy

421
00:27:00,359 --> 00:27:03,640
Speaker 7: testified in court on one of these cases and they

422
00:27:03,680 --> 00:27:07,639
Speaker 7: brought up the Safari restaurant. He said, well, you can't

423
00:27:07,640 --> 00:27:10,320
Speaker 7: do anything, you can't run for political office or anything

424
00:27:10,440 --> 00:27:14,240
Speaker 7: without going through the Safari restaurant that was in court.

425
00:27:14,440 --> 00:27:17,440
Speaker 8: Yeah, and uh so it's it was it's like the mob.

426
00:27:17,520 --> 00:27:21,800
Speaker 8: You know, mobs Havealian restaurants, you know, what I mean. Also,

427
00:27:22,760 --> 00:27:26,600
Speaker 8: and that Wall statement, you know that he's a racist,

428
00:27:27,080 --> 00:27:32,240
Speaker 8: you're in simple and another thing. Uh uh, they're gonna

429
00:27:32,280 --> 00:27:34,600
Speaker 8: go after all the money. And I'd be curious to

430
00:27:34,600 --> 00:27:37,480
Speaker 8: find out how much money went through some of these

431
00:27:37,560 --> 00:27:41,280
Speaker 8: d md W dealers. You mentioned fancy cars and the

432
00:27:41,359 --> 00:27:42,360
Speaker 8: Mercedes dealers.

433
00:27:42,400 --> 00:27:46,160
Speaker 7: I'd love to be a salesman up there for a while.

434
00:27:46,400 --> 00:27:49,879
Speaker 7: But also there was a guy who was said he

435
00:27:49,960 --> 00:27:51,640
Speaker 7: was going to buy a bunch of land around Oak

436
00:27:51,680 --> 00:27:55,639
Speaker 7: Grove north of Minneapolis, and he was selling plots and

437
00:27:55,800 --> 00:27:57,600
Speaker 7: said he was going to build a bunch of houses.

438
00:27:58,320 --> 00:28:02,119
Speaker 7: And uh so this guy and he scammed everybody. And

439
00:28:02,160 --> 00:28:05,000
Speaker 7: he was a Somali or Muslim. I don't know if

440
00:28:05,000 --> 00:28:06,960
Speaker 7: it's Somali, but he's Muslim and it was going to

441
00:28:07,040 --> 00:28:11,919
Speaker 7: be a pure Muslim community, and he was scamming the

442
00:28:11,920 --> 00:28:14,639
Speaker 7: scammers because they were spending money, you know, like water.

443
00:28:15,080 --> 00:28:18,680
Speaker 7: And also, uh, I think they ought to look into

444
00:28:19,080 --> 00:28:21,840
Speaker 7: some of the major newspapers up there's a number of newspapers,

445
00:28:22,040 --> 00:28:26,879
Speaker 7: but those newspapers haven't been followed. They are now, but

446
00:28:27,880 --> 00:28:31,679
Speaker 7: for years other people have known about this, and the

447
00:28:31,760 --> 00:28:34,800
Speaker 7: newspapers weren't doing a damn thing about it. We weren't

448
00:28:34,840 --> 00:28:39,440
Speaker 7: talking about it, so they're getting their cut and uh

449
00:28:40,040 --> 00:28:42,800
Speaker 7: the uh, well, you know what I mean. I mean,

450
00:28:42,880 --> 00:28:45,680
Speaker 7: it's just, uh, I can't.

451
00:28:45,440 --> 00:28:46,800
Speaker 8: Wait to see this open up.

452
00:28:46,840 --> 00:28:48,280
Speaker 7: Man, It's going to be golden.

453
00:28:48,520 --> 00:28:50,240
Speaker 2: It's unbelievable when you think about it.

454
00:28:50,280 --> 00:28:52,600
Speaker 1: And you know, the point that you just made with

455
00:28:52,720 --> 00:28:54,840
Speaker 1: respect to reporters is very well taken.

456
00:28:55,280 --> 00:28:57,360
Speaker 2: I've read so much about this this week.

457
00:28:57,440 --> 00:29:00,720
Speaker 1: I'm flipping through my notes and paint here trying to

458
00:29:00,760 --> 00:29:05,600
Speaker 1: find it. There was some report where they looked at

459
00:29:05,760 --> 00:29:09,160
Speaker 1: exactly the lack of media coverage and it's the same

460
00:29:09,240 --> 00:29:13,760
Speaker 1: damn thing. These reporters, these editors, they weren't gonna touch

461
00:29:13,800 --> 00:29:17,720
Speaker 1: this because of they would be labeled as racist.

462
00:29:18,040 --> 00:29:19,000
Speaker 2: That's crap.

463
00:29:19,360 --> 00:29:23,280
Speaker 1: You know, these media outlets need to investigate this, and

464
00:29:23,920 --> 00:29:27,080
Speaker 1: I know one that has, and that's the Epoch Times.

465
00:29:27,280 --> 00:29:30,040
Speaker 1: I think, based on what I've seen, they're leading a

466
00:29:30,080 --> 00:29:33,440
Speaker 1: pack on this, and it's just a mess. I think

467
00:29:33,520 --> 00:29:36,960
Speaker 1: this time next year, honestly, Fred will still be talking

468
00:29:37,000 --> 00:29:37,480
Speaker 1: about it.

469
00:29:38,280 --> 00:29:38,480
Speaker 6: Yeah.

470
00:29:38,520 --> 00:29:41,760
Speaker 7: There's a guy up there too. His name is Joe Souchera.

471
00:29:42,320 --> 00:29:44,880
Speaker 7: He runs a car right to call him up there. Yeah,

472
00:29:44,920 --> 00:29:47,680
Speaker 7: he's been following this for years he's been talking about

473
00:29:47,680 --> 00:29:51,480
Speaker 7: this for years. Yep, and you know, so it's it's

474
00:29:51,520 --> 00:29:54,640
Speaker 7: gonna be wild. I hope they and I hope they

475
00:29:54,760 --> 00:29:57,200
Speaker 7: traced a lot of this money down and so the

476
00:29:57,240 --> 00:29:59,959
Speaker 7: taxpayers can get get a break at least. I mean,

477
00:30:00,040 --> 00:30:00,800
Speaker 7: oh my goodness.

478
00:30:00,840 --> 00:30:01,520
Speaker 9: Well yeah, yeah.

479
00:30:01,760 --> 00:30:02,720
Speaker 2: One thing they can do.

480
00:30:03,000 --> 00:30:05,480
Speaker 1: One of these dudes that was involved in the UH

481
00:30:05,640 --> 00:30:07,560
Speaker 1: I think it was the autism program goes out and

482
00:30:07,560 --> 00:30:10,680
Speaker 1: buys a semi tractor trailer. Maybe we can get that back,

483
00:30:10,800 --> 00:30:12,920
Speaker 1: you know, I mean, it's just a joke.

484
00:30:13,720 --> 00:30:16,320
Speaker 7: When you said that, I hadn't heard about that. I

485
00:30:17,120 --> 00:30:19,520
Speaker 7: was thinking of what could they possibly use that for?

486
00:30:19,760 --> 00:30:22,920
Speaker 8: Man, It's just you know, well, I take sure it

487
00:30:22,960 --> 00:30:23,520
Speaker 8: wasn't legal.

488
00:30:23,720 --> 00:30:25,400
Speaker 1: I got to take a break for the news, Fred,

489
00:30:25,440 --> 00:30:28,560
Speaker 1: But I do have one, wait, wait, one last question.

490
00:30:28,920 --> 00:30:31,920
Speaker 2: What is the weather today in Saint Petersburg.

491
00:30:32,920 --> 00:30:34,640
Speaker 7: It's beautiful, man, sunshine.

492
00:30:34,680 --> 00:30:38,200
Speaker 8: It's I think it's around sixty somethings. Oh maybe the seventy.

493
00:30:38,640 --> 00:30:39,960
Speaker 8: We're used to it, though, I.

494
00:30:40,640 --> 00:30:45,880
Speaker 1: Don't us brother appreciate it. Thanks, bye, Okay, thanks Fred Man.

495
00:30:45,920 --> 00:30:48,280
Speaker 1: I'll tell you what I could definitely do with some

496
00:30:48,360 --> 00:30:50,080
Speaker 1: of that weather. Hey, we do have to take a

497
00:30:50,120 --> 00:30:52,800
Speaker 1: break for the news. But when we get back again,

498
00:30:53,000 --> 00:30:56,600
Speaker 1: open lines seven four nine, seven thousand, one, eight hundred.

499
00:30:56,600 --> 00:30:59,880
Speaker 1: The big one are the numbers. Mike Allen Saturday Midday

500
00:31:00,800 --> 00:31:03,920
Speaker 1: seven hundred WLW Mike Gallon an hour or two of

501
00:31:04,080 --> 00:31:05,640
Speaker 1: Saturday Midday.

502
00:31:06,840 --> 00:31:09,400
Speaker 2: I'll tell you what people.

503
00:31:09,200 --> 00:31:13,120
Speaker 1: Want to talk about this whole situation in Minnesota.

504
00:31:13,400 --> 00:31:15,960
Speaker 2: People are not happy about it at all.

505
00:31:16,440 --> 00:31:18,720
Speaker 1: A lot of questions today and a lot of questions

506
00:31:18,800 --> 00:31:20,520
Speaker 1: from Jump and I'm going to get to the phones

507
00:31:20,520 --> 00:31:23,920
Speaker 1: here in just a second about why people didn't know

508
00:31:23,960 --> 00:31:28,680
Speaker 1: about this and why the media didn't cover it. They're

509
00:31:28,680 --> 00:31:32,280
Speaker 1: covering it now because they have to. But just playing

510
00:31:32,320 --> 00:31:37,040
Speaker 1: around here, a Fox News article talking about a group

511
00:31:37,160 --> 00:31:41,200
Speaker 1: called NewsBusters. They're great, they're a media watch draw group.

512
00:31:41,240 --> 00:31:44,200
Speaker 1: And just to give you an idea, earlier this week,

513
00:31:44,320 --> 00:31:50,440
Speaker 1: Curtis Houk at NewsBusters found ABC and NBC only touched

514
00:31:50,480 --> 00:31:55,600
Speaker 1: on the Minnesota fraud in twenty one percent of their

515
00:31:55,640 --> 00:32:00,720
Speaker 1: Somalia coverage. Now, how can you when it's nicety something

516
00:32:00,880 --> 00:32:02,720
Speaker 1: percent Somalians?

517
00:32:03,640 --> 00:32:04,600
Speaker 2: How do you do that?

518
00:32:04,680 --> 00:32:08,960
Speaker 1: Well, of course, the obvious answer is they're liberals. They're

519
00:32:09,000 --> 00:32:12,360
Speaker 1: going to help their friends in the Democrat Party. But

520
00:32:12,520 --> 00:32:17,560
Speaker 1: it's again, it's just it defies all logic. But you know,

521
00:32:17,680 --> 00:32:20,800
Speaker 1: we that have been following this stuff forever, I think

522
00:32:20,840 --> 00:32:24,080
Speaker 1: pretty much understand. It goes on to say, in just

523
00:32:24,120 --> 00:32:27,080
Speaker 1: a couple more points on this, the vast majority of

524
00:32:27,200 --> 00:32:36,080
Speaker 1: verbiage was negative evaluations of Trump, negative evaluations of Trump.

525
00:32:38,080 --> 00:32:41,520
Speaker 1: The last I checked, he wasn't even president when this

526
00:32:41,560 --> 00:32:46,360
Speaker 1: stuff happened. Then finally they say add in CBS and

527
00:32:46,480 --> 00:32:49,600
Speaker 1: the fraud fraction went up to thirty five percent, in

528
00:32:49,680 --> 00:32:52,200
Speaker 1: part because and I wanted to watch this, but I

529
00:32:52,240 --> 00:32:57,240
Speaker 1: didn't because Face the Nation host Margaret Brennan, a very

530
00:32:57,240 --> 00:33:03,040
Speaker 1: good friend of the Democrat Party, interviewed Minnesota Democrat Representative

531
00:33:03,160 --> 00:33:06,600
Speaker 1: Ilhan Omar about it. Now, I'm going to go back

532
00:33:06,640 --> 00:33:10,080
Speaker 1: and watch it. I understand that the Treasure Secretary, Scott

533
00:33:10,160 --> 00:33:14,920
Speaker 1: Descent was also interviewed about his contention that they're pretty

534
00:33:14,960 --> 00:33:17,400
Speaker 1: sure that some of this money, at least some of

535
00:33:17,440 --> 00:33:21,000
Speaker 1: it is going to some all you terrorist groups, one

536
00:33:21,040 --> 00:33:25,520
Speaker 1: in particular Al Shabab, and she wanted to get into

537
00:33:25,600 --> 00:33:27,240
Speaker 1: him a while. You don't know that, blah blah blah.

538
00:33:27,280 --> 00:33:30,400
Speaker 1: And it was apparently a pretty good give and take.

539
00:33:30,480 --> 00:33:32,640
Speaker 1: So I'm going to go back and watch that. But again,

540
00:33:33,000 --> 00:33:35,720
Speaker 1: you know, you can write the script on this stuff

541
00:33:36,040 --> 00:33:40,320
Speaker 1: if it's at all sensitive in the liberal media's mind

542
00:33:40,800 --> 00:33:43,560
Speaker 1: about oh boy, if we cover this, we might be

543
00:33:43,680 --> 00:33:46,680
Speaker 1: called racist. They just don't cover it, and that is

544
00:33:46,760 --> 00:33:50,400
Speaker 1: a disservice. It's a huge disservice to the taxpayers of

545
00:33:50,440 --> 00:33:54,800
Speaker 1: this country. Black, white, green, brown or yellow, it doesn't matter.

546
00:33:54,840 --> 00:33:57,720
Speaker 2: Anyway. Back to the phones, Let's talk to Eddie up

547
00:33:57,720 --> 00:34:00,320
Speaker 2: in Columbus. Hey, Eddie, how you doing, Mike.

548
00:34:01,200 --> 00:34:01,920
Speaker 3: I'm well, Mike.

549
00:34:02,000 --> 00:34:08,040
Speaker 6: Thanks Mike. The mayor of Columbus and the police chief

550
00:34:08,360 --> 00:34:13,440
Speaker 6: of Columbus PD are on social media now talking about

551
00:34:13,600 --> 00:34:17,759
Speaker 6: their what the city of Columbus is not going to

552
00:34:17,800 --> 00:34:22,080
Speaker 6: do and what they will do as far as the

553
00:34:22,239 --> 00:34:31,239
Speaker 6: ice investigations and assisting the local immigrant population and assuring them,

554
00:34:31,440 --> 00:34:35,839
Speaker 6: assuring the immigrant population how safe they are, and Mike,

555
00:34:35,920 --> 00:34:38,279
Speaker 6: it sounds it goes on. It's much longer than that,

556
00:34:38,320 --> 00:34:41,759
Speaker 6: but it sounds very, very similar to what we heard

557
00:34:41,800 --> 00:34:47,640
Speaker 6: out of Minneapolis. And I just hope that the powers

558
00:34:47,640 --> 00:34:51,399
Speaker 6: that be in Ohio or whoever started it in Minnesota

559
00:34:51,840 --> 00:34:54,560
Speaker 6: are are looking at Ohio very very closely.

560
00:34:55,239 --> 00:34:55,479
Speaker 9: Yeah.

561
00:34:55,680 --> 00:34:57,640
Speaker 1: I would hope so too, because I heard the same

562
00:34:57,680 --> 00:35:01,040
Speaker 1: thing and I saw I don't. It wasn't the Columbus

563
00:35:01,040 --> 00:35:04,359
Speaker 1: police chief. It was the Minnesota police chief saying what

564
00:35:04,520 --> 00:35:06,799
Speaker 1: you were saying too, that hey, we're not going to

565
00:35:06,800 --> 00:35:07,719
Speaker 1: cooperate with them.

566
00:35:07,840 --> 00:35:09,600
Speaker 2: We're going to do this, that, this and that.

567
00:35:10,120 --> 00:35:12,080
Speaker 1: And you know what it boils down to, which is

568
00:35:12,120 --> 00:35:15,360
Speaker 1: an amazing thing that I never thought I never thought

569
00:35:15,480 --> 00:35:21,279
Speaker 1: I would see this is it's in essence cop versus cop. Uh,

570
00:35:21,440 --> 00:35:25,319
Speaker 1: of course, you know, federal cop versus local cops. That's

571
00:35:25,400 --> 00:35:27,799
Speaker 1: not the way it has been or the way it

572
00:35:27,840 --> 00:35:31,920
Speaker 1: should be. Cops protect each other. I don't mean covering

573
00:35:32,040 --> 00:35:35,319
Speaker 1: for them when something's wrong, but they see that as

574
00:35:35,360 --> 00:35:39,319
Speaker 1: their job. And for that to have gone by the wayside,

575
00:35:39,840 --> 00:35:42,719
Speaker 1: and now it's even the dude in Minnesota, I think

576
00:35:42,760 --> 00:35:45,600
Speaker 1: it was said, well, you know what, if if they

577
00:35:45,640 --> 00:35:46,120
Speaker 1: get in some.

578
00:35:46,160 --> 00:35:49,800
Speaker 2: Trouble, we're not going to cover for cover, cover over

579
00:35:50,680 --> 00:35:51,239
Speaker 2: on the run.

580
00:35:51,280 --> 00:35:54,719
Speaker 1: Now that was not the exact words, but that that

581
00:35:54,840 --> 00:35:58,440
Speaker 1: was the import of what I heard. It's just sad.

582
00:35:59,239 --> 00:36:01,759
Speaker 1: I mean, these people ice like them or hate them.

583
00:36:02,120 --> 00:36:05,600
Speaker 1: They're enforcing the law. If you don't like the law,

584
00:36:05,840 --> 00:36:10,000
Speaker 1: lives change it. But it's there and it's enforceable, and

585
00:36:10,040 --> 00:36:10,720
Speaker 1: that's what they're.

586
00:36:10,560 --> 00:36:13,879
Speaker 10: Doing, and it might help me out here real quick.

587
00:36:14,120 --> 00:36:18,680
Speaker 10: In very simple terms, the local government would not be

588
00:36:18,760 --> 00:36:24,160
Speaker 10: interested in investigating fraud if it's if it helps their

589
00:36:24,440 --> 00:36:27,480
Speaker 10: if their voters or who they think are voting for

590
00:36:27,560 --> 00:36:30,120
Speaker 10: them are going to be affected by it, correct, I

591
00:36:30,120 --> 00:36:31,600
Speaker 10: mean we're talking federal money.

592
00:36:32,239 --> 00:36:35,759
Speaker 2: That's very very very true, very true.

593
00:36:35,800 --> 00:36:38,719
Speaker 1: And I heard something this week that you know, I

594
00:36:38,920 --> 00:36:42,480
Speaker 1: think the person said there are only one hundred thousand

595
00:36:43,200 --> 00:36:48,160
Speaker 1: Somali American voters in I guess it's Dearborn County up there,

596
00:36:48,640 --> 00:36:50,839
Speaker 1: and you know what, that's a lot, but when you're

597
00:36:50,880 --> 00:36:55,960
Speaker 1: talking electoral it's not that much. However, they believe the

598
00:36:56,800 --> 00:37:01,680
Speaker 1: elected officials that it's very, very relevant, and I think

599
00:37:01,719 --> 00:37:04,400
Speaker 1: that's probably not. Probably it is one of the reasons

600
00:37:04,480 --> 00:37:07,839
Speaker 1: why they're reluctant to get involved in this stuff. And

601
00:37:08,239 --> 00:37:10,640
Speaker 1: you know, that's an abrogation of their duty as far

602
00:37:10,680 --> 00:37:11,600
Speaker 1: as I'm concerned.

603
00:37:12,440 --> 00:37:13,080
Speaker 3: I agree, Mike.

604
00:37:13,160 --> 00:37:15,440
Speaker 6: I appreciate you keeping it in the forefront.

605
00:37:16,000 --> 00:37:18,160
Speaker 2: We will thank you. Thanks, Eddie.

606
00:37:18,880 --> 00:37:21,040
Speaker 1: Yeah, you know it is it isn't it just so

607
00:37:21,320 --> 00:37:26,120
Speaker 1: typical of the mainstream media that well, you know, there's

608
00:37:26,160 --> 00:37:30,879
Speaker 1: a chance that somebody Keith Ellison or somebody else il

609
00:37:30,880 --> 00:37:35,839
Speaker 1: han Omar will call us racist if we aggressively investigate this,

610
00:37:36,320 --> 00:37:38,719
Speaker 1: So we're not going to do it. That's not right.

611
00:37:39,239 --> 00:37:42,359
Speaker 1: That's not what the media is supposed to do. That's

612
00:37:42,440 --> 00:37:47,239
Speaker 1: not their job. Their job, as somebody like janishis on

613
00:37:47,320 --> 00:37:51,120
Speaker 1: Epoch Times, their job is to report the facts and

614
00:37:51,160 --> 00:37:55,080
Speaker 1: then will make our own damn decisions about what it means.

615
00:37:55,480 --> 00:37:59,319
Speaker 1: It's But again, none of this is surprising. None of

616
00:37:59,320 --> 00:38:02,000
Speaker 1: it is surprised at all. But like I said, there

617
00:38:02,080 --> 00:38:06,399
Speaker 1: was supposedly a pretty good dust up between Treasury Secretary

618
00:38:06,440 --> 00:38:10,759
Speaker 1: Scott Descent and Margaret Running last Sunday. I'm gonna go

619
00:38:11,480 --> 00:38:13,520
Speaker 1: when I get home see if I can find it. Okay,

620
00:38:14,040 --> 00:38:17,719
Speaker 1: let's talk to Dennis in Annapolis. Dennis wants to talk

621
00:38:17,719 --> 00:38:19,760
Speaker 1: about something a little bit off topic, but that's fine.

622
00:38:19,880 --> 00:38:21,200
Speaker 1: Hey Doca, how you doing?

623
00:38:22,200 --> 00:38:24,600
Speaker 5: Pretty good? Mike, and Marry Christmas and Happy.

624
00:38:24,400 --> 00:38:27,240
Speaker 2: New York to you you too. Yeah.

625
00:38:27,280 --> 00:38:30,279
Speaker 5: Well, I just have a very quick comment on the Somalies.

626
00:38:30,719 --> 00:38:38,239
Speaker 5: So if these alleged fraudster Somalies who contributed to Keith

627
00:38:38,239 --> 00:38:41,160
Speaker 5: Ellison's campaign, if they're convicted, is he going to give

628
00:38:41,239 --> 00:38:43,120
Speaker 5: back whatever they donated?

629
00:38:44,640 --> 00:38:47,440
Speaker 1: You know what they should they should, and I think

630
00:38:47,480 --> 00:38:51,319
Speaker 1: there's precedent for that, Dennis. Some politicians have done that

631
00:38:51,480 --> 00:38:53,440
Speaker 1: and of course think, well, we didn't know that it

632
00:38:53,520 --> 00:38:56,600
Speaker 1: was for a bad purpose, but however we're giving it back.

633
00:38:57,320 --> 00:39:00,520
Speaker 1: I don't see it happening here. There's so freaking arrogant.

634
00:39:00,760 --> 00:39:02,759
Speaker 1: They'll stick their nose in the air and say, well,

635
00:39:03,320 --> 00:39:05,800
Speaker 1: you know, I didn't know this, and blah blah blah.

636
00:39:05,840 --> 00:39:08,720
Speaker 1: So I guess the answer the question is it could happen,

637
00:39:08,760 --> 00:39:10,040
Speaker 1: but I wouldn't hold my breath.

638
00:39:11,000 --> 00:39:13,319
Speaker 5: Okay, But what I wanted I wanted to talk about

639
00:39:13,520 --> 00:39:19,799
Speaker 5: was the this uh, this absolutely stupid decision by her

640
00:39:19,880 --> 00:39:26,280
Speaker 5: named Connie Pillock to uh regarding this uh Elwood Jones case.

641
00:39:27,239 --> 00:39:30,800
Speaker 5: She needs this, She needs to get a remedial case

642
00:39:30,960 --> 00:39:36,399
Speaker 5: in logic and uh interpretation of statistics. Because this thing

643
00:39:36,400 --> 00:39:40,440
Speaker 5: about the hepatitis B test, Uh, that is some kind

644
00:39:40,440 --> 00:39:45,640
Speaker 5: of new the modern uh new new. How'd your character

645
00:39:45,680 --> 00:39:49,840
Speaker 5: as it? Uh medical new medical testing or modern medical

646
00:39:49,880 --> 00:39:53,120
Speaker 5: testing excluded him? It does not exclude him.

647
00:39:53,640 --> 00:39:53,879
Speaker 1: Uh.

648
00:39:54,360 --> 00:39:57,600
Speaker 5: He he has a he had a one, you know,

649
00:39:57,640 --> 00:40:04,279
Speaker 5: because the victim had hepatitis be right, The defense is claiming, well,

650
00:40:04,600 --> 00:40:08,719
Speaker 5: and he should have gotten it after allegedly punching her

651
00:40:08,760 --> 00:40:13,080
Speaker 5: in the mouth and getting the wound in his hand. Well,

652
00:40:13,360 --> 00:40:17,040
Speaker 5: he only had he had a one and three chance

653
00:40:17,120 --> 00:40:20,120
Speaker 5: of constracting hepatitis B that way, but he had a

654
00:40:20,160 --> 00:40:24,319
Speaker 5: two and three chance of not getting it. And so

655
00:40:24,440 --> 00:40:27,719
Speaker 5: I think this whole hepatitis B thing is totally irrelevant.

656
00:40:27,920 --> 00:40:30,120
Speaker 5: Well it's completely irrelevant.

657
00:40:29,800 --> 00:40:33,480
Speaker 1: But it's causing a stir in this town. And I'll

658
00:40:33,520 --> 00:40:35,160
Speaker 1: be honest with you, when I was prosecutor, I was

659
00:40:35,160 --> 00:40:39,120
Speaker 1: only peripherally involved in it for some post conviction stuff.

660
00:40:39,680 --> 00:40:43,520
Speaker 1: But I think what people at least some people apparently,

661
00:40:44,160 --> 00:40:46,080
Speaker 1: and I didn't read this, I just heard this. She

662
00:40:46,160 --> 00:40:48,680
Speaker 1: made the comment that she believes he's not that he

663
00:40:48,760 --> 00:40:51,520
Speaker 1: didn't do it, and you know what is prosecutor. I'm

664
00:40:51,520 --> 00:40:54,440
Speaker 1: not gonna second guess. Frankly, I think she's done a

665
00:40:54,480 --> 00:40:57,319
Speaker 1: pretty darn good job of prosecutor so far. But I

666
00:40:57,360 --> 00:41:00,799
Speaker 1: was a little surprised at that, and I don't know

667
00:41:00,840 --> 00:41:02,840
Speaker 1: that I would have went that far. But at the

668
00:41:02,960 --> 00:41:06,520
Speaker 1: end of the day, you know, it's her call. And

669
00:41:06,760 --> 00:41:08,840
Speaker 1: the only thing is I mean, you know the taxpayers

670
00:41:08,840 --> 00:41:11,279
Speaker 1: are going to get wrung up on that too, on

671
00:41:11,400 --> 00:41:13,560
Speaker 1: an unlawful imprisonment charge, so.

672
00:41:14,800 --> 00:41:17,520
Speaker 5: Yeah, yeah, right right, But but that to make a

673
00:41:17,560 --> 00:41:21,000
Speaker 5: big deal out of it, like it's like the whole thing,

674
00:41:21,120 --> 00:41:25,600
Speaker 5: the whole decision was hinging on. That was ridiculous. I mean,

675
00:41:25,600 --> 00:41:26,120
Speaker 5: what if?

676
00:41:26,480 --> 00:41:27,000
Speaker 6: What if?

677
00:41:27,000 --> 00:41:31,919
Speaker 5: What if if Jones had already had already had hepatitis

678
00:41:31,960 --> 00:41:37,960
Speaker 5: B before the crime, and so he suddenly they test him, Uh,

679
00:41:38,360 --> 00:41:43,080
Speaker 5: he's test positive, test positive, and she tests positive? Does

680
00:41:43,080 --> 00:41:45,680
Speaker 5: that mean he automatically did it? I mean you could

681
00:41:45,719 --> 00:41:48,800
Speaker 5: make that case too, you see what I'm saying unless

682
00:41:48,640 --> 00:41:51,960
Speaker 5: he tested yeah, yeah, so that that would Does that

683
00:41:52,040 --> 00:41:55,040
Speaker 5: make that make him guilty because now he had it?

684
00:41:55,320 --> 00:41:57,680
Speaker 6: Well, the whole thing is ridiculous, I.

685
00:41:57,719 --> 00:41:58,120
Speaker 2: Tell you what.

686
00:41:58,160 --> 00:42:00,920
Speaker 1: And I appreciate the call, Doc, I'm gonna be honest,

687
00:42:01,200 --> 00:42:06,040
Speaker 1: I haven't followed it that far, but it's kind of

688
00:42:06,120 --> 00:42:08,840
Speaker 1: raising some hackles here. But I appreciate the call. I

689
00:42:08,920 --> 00:42:12,920
Speaker 1: appreciate your medical opinion. I'm gonna be honest, I didn't

690
00:42:13,000 --> 00:42:16,960
Speaker 1: really follow it that far, and I'm not gonna lie

691
00:42:16,960 --> 00:42:19,200
Speaker 1: about it. I think she's done a pretty good job

692
00:42:19,239 --> 00:42:22,640
Speaker 1: as prosecutors so far. I really do. I don't know

693
00:42:22,680 --> 00:42:24,800
Speaker 1: that I would have gone as far as to say

694
00:42:24,840 --> 00:42:28,120
Speaker 1: that I believe that he's innocent. I mean, I think

695
00:42:28,440 --> 00:42:30,839
Speaker 1: maybe an alternate to that was, well, I don't know

696
00:42:30,880 --> 00:42:33,760
Speaker 1: that the case was proven beyond a reasonable doubt.

697
00:42:34,000 --> 00:42:36,080
Speaker 2: That's not saying you think he's innocent.

698
00:42:36,120 --> 00:42:40,120
Speaker 1: That's just saying that ultimately at the beginning it was

699
00:42:40,280 --> 00:42:41,440
Speaker 1: because there was a conviction.

700
00:42:41,640 --> 00:42:44,720
Speaker 2: But I don't know. It is a big deal.

701
00:42:45,000 --> 00:42:46,920
Speaker 1: It is, But there's a hell of a lot of

702
00:42:46,920 --> 00:42:49,439
Speaker 1: other things too, I think to worry about. Hey, let's

703
00:42:49,440 --> 00:42:51,400
Speaker 1: talk to our friend Bobby. Haven't talked to him for

704
00:42:51,400 --> 00:42:53,040
Speaker 1: a while. Hey, good morning, Bobby.

705
00:42:53,040 --> 00:42:55,400
Speaker 2: How you doing, my friend?

706
00:42:55,480 --> 00:42:59,120
Speaker 9: God bless you and your family and friends. Is holiday season?

707
00:42:59,360 --> 00:43:01,480
Speaker 9: Very happy homiken.

708
00:43:01,120 --> 00:43:03,439
Speaker 2: All of them. Thank you, Bobby, Thank you you too.

709
00:43:04,040 --> 00:43:06,239
Speaker 9: What you got for well, I got I got a

710
00:43:06,280 --> 00:43:09,520
Speaker 9: couple of things. We talk about Minnesota, but people need

711
00:43:09,680 --> 00:43:14,760
Speaker 9: realize that reflect on the past of twenty twenty five

712
00:43:15,320 --> 00:43:18,640
Speaker 9: and every prediction that we made pretty well came true.

713
00:43:19,440 --> 00:43:23,280
Speaker 9: If you look at the smally issue, Columbus is number

714
00:43:23,280 --> 00:43:28,120
Speaker 9: two in the nation. Excuse me, with SMALLI population thirty

715
00:43:28,120 --> 00:43:33,200
Speaker 9: five forty thousand. I guarantee you that job and Family

716
00:43:33,280 --> 00:43:36,560
Speaker 9: Services is going to be well looked over.

717
00:43:37,480 --> 00:43:38,120
Speaker 2: You would hope.

718
00:43:38,160 --> 00:43:40,719
Speaker 1: So, I mean, you know, if there's evidence along those lines,

719
00:43:40,719 --> 00:43:43,080
Speaker 1: and I've had callers over the last couple of weeks

720
00:43:43,080 --> 00:43:46,960
Speaker 1: that are from Columbus and have kind of intimated that

721
00:43:48,120 --> 00:43:50,439
Speaker 1: I don't know. It just seems to me that where

722
00:43:50,480 --> 00:43:52,839
Speaker 1: there's smoke, there's fire, and I don't care.

723
00:43:53,000 --> 00:43:55,400
Speaker 2: Oh that's horrible, Mike, blah blah blah blah blah.

724
00:43:55,440 --> 00:43:58,160
Speaker 1: You know, you can't just turn a blind eye to

725
00:43:58,200 --> 00:44:00,680
Speaker 1: this stuff, well like they did Minnesota.

726
00:44:00,880 --> 00:44:02,480
Speaker 2: So yeah, I think you've.

727
00:44:02,280 --> 00:44:06,080
Speaker 1: Only heard the beginning of it from Minnesota and probably

728
00:44:06,200 --> 00:44:08,520
Speaker 1: up there too, But because a lot of people are

729
00:44:08,560 --> 00:44:11,080
Speaker 1: talking about it, I guess we'll just have to see.

730
00:44:12,120 --> 00:44:14,280
Speaker 9: Well a lot of times too, when you talk about

731
00:44:14,280 --> 00:44:16,279
Speaker 9: the truth, people don't want to hear it, no, you know,

732
00:44:16,360 --> 00:44:18,320
Speaker 9: they want to go to hidden categorize you as a

733
00:44:18,440 --> 00:44:23,359
Speaker 9: racist and everything else and homophobic. But you know, there's

734
00:44:23,400 --> 00:44:27,600
Speaker 9: a difference between being prejudiced and being a racist. As myself,

735
00:44:28,200 --> 00:44:35,840
Speaker 9: I'm extremely prejudiced against fundamental Islamics. I'm extremely prejudiced against

736
00:44:35,840 --> 00:44:40,120
Speaker 9: these Somali grip heures and people in our country illegally.

737
00:44:40,480 --> 00:44:43,719
Speaker 2: Well, yeah, yeah, you're right, that's it. I mean, you're

738
00:44:43,719 --> 00:44:44,920
Speaker 2: allowed to be prejudiced.

739
00:44:45,120 --> 00:44:47,680
Speaker 1: You're allowed to at least you used to be allowed

740
00:44:47,719 --> 00:44:55,440
Speaker 1: to be prejudiced against criminals, brown, black, yellow, you know, Jewish, Catholic, Christian, Muslim, whatever.

741
00:44:55,560 --> 00:44:59,759
Speaker 1: But the first chance that you know, the mainstream media

742
00:44:59,840 --> 00:45:03,279
Speaker 1: is somebody else gets to latch onto that they think

743
00:45:03,320 --> 00:45:05,560
Speaker 1: they got a tiger by the tail. Well, you know what,

744
00:45:05,800 --> 00:45:08,920
Speaker 1: maybe fifteen, twenty, thirty, forty years ago they did have

745
00:45:08,960 --> 00:45:12,799
Speaker 1: a tiger by the tail. Not anymore. People can get

746
00:45:12,840 --> 00:45:18,280
Speaker 1: that grifted. It doesn't mean crap anymore. The word racist

747
00:45:18,480 --> 00:45:23,360
Speaker 1: and racism has lost all meaning because they've abused at

748
00:45:23,400 --> 00:45:25,320
Speaker 1: the left is abused it so much.

749
00:45:26,360 --> 00:45:29,160
Speaker 9: I have friends of every color and creed my friend,

750
00:45:29,239 --> 00:45:31,160
Speaker 9: and they are good friends of mine, and I don't

751
00:45:31,239 --> 00:45:33,560
Speaker 9: I'm not that way. I've never been that way. But

752
00:45:33,640 --> 00:45:35,480
Speaker 9: I don't have a use of these people that are

753
00:45:35,480 --> 00:45:35,920
Speaker 9: against you.

754
00:45:36,640 --> 00:45:39,359
Speaker 1: Well, and I hear you and I anything you want,

755
00:45:39,440 --> 00:45:41,120
Speaker 1: I appreciate it, Bobby, Thank you.

756
00:45:42,640 --> 00:45:44,479
Speaker 2: Merry Christmas to you too. Yeah.

757
00:45:44,560 --> 00:45:48,520
Speaker 1: You know, last time I checked, you were allowed not

758
00:45:48,760 --> 00:45:52,520
Speaker 1: to like lawbreakers. Maybe that's something they want to change.

759
00:45:52,600 --> 00:45:54,799
Speaker 1: How about Ken in Cincinnati?

760
00:45:55,000 --> 00:45:56,120
Speaker 2: Hey? Ken, how you doing?

761
00:45:56,920 --> 00:45:57,439
Speaker 5: Hey Mike?

762
00:45:57,920 --> 00:45:59,880
Speaker 11: First of all, I want to wish merry Christmas to

763
00:46:00,040 --> 00:46:01,720
Speaker 11: everyone out there, to you and your family.

764
00:46:01,800 --> 00:46:04,080
Speaker 2: Thank you, you can thank you.

765
00:46:04,160 --> 00:46:06,160
Speaker 11: And the main reason why I'm calling is that we've

766
00:46:06,160 --> 00:46:10,440
Speaker 11: got got a new brand name for You've got governor

767
00:46:10,480 --> 00:46:13,840
Speaker 11: of Minnesota, and it's right here on the Mike Allen Show.

768
00:46:14,200 --> 00:46:16,400
Speaker 11: We can call him kick Back Kill.

769
00:46:17,680 --> 00:46:19,040
Speaker 2: I like it. I like it.

770
00:46:19,040 --> 00:46:23,160
Speaker 11: I likely that hopefully that'll stick, and we'll refer he's

771
00:46:23,200 --> 00:46:26,680
Speaker 11: got his other moniker as well, hopefully to be able

772
00:46:26,680 --> 00:46:29,879
Speaker 11: to pick up on it and kick Back Tim will

773
00:46:29,880 --> 00:46:30,520
Speaker 11: get his start.

774
00:46:30,719 --> 00:46:31,920
Speaker 2: I like it. I like it.

775
00:46:31,960 --> 00:46:35,839
Speaker 1: You know, I'll tell you somewhere, somehow, sometime they're going

776
00:46:35,880 --> 00:46:38,920
Speaker 1: to shine a bright light on that guy. Bank records,

777
00:46:39,000 --> 00:46:44,440
Speaker 1: you know whatever. And I see no evidence whatsoever yet

778
00:46:44,840 --> 00:46:47,960
Speaker 1: that there's any criminal involvement with either him or I

779
00:46:48,000 --> 00:46:52,040
Speaker 1: think more likely Keith Ellison. But you know you've got

780
00:46:52,040 --> 00:46:54,200
Speaker 1: to send it over or excuse me, the House Oversight

781
00:46:54,239 --> 00:46:56,600
Speaker 1: Committee looking at it, and we'll see where it goes.

782
00:46:56,640 --> 00:47:01,920
Speaker 1: At an absolute minimum, it's negligent, it's gross negligence, but

783
00:47:02,520 --> 00:47:05,680
Speaker 1: we'll see and I like the idea.

784
00:47:06,520 --> 00:47:07,560
Speaker 5: All right, Mike, God bless you.

785
00:47:07,640 --> 00:47:10,920
Speaker 1: Okay, thank you you too, you know, and I was

786
00:47:10,960 --> 00:47:15,520
Speaker 1: thinking about that too this morning. No evidence whatsoever that

787
00:47:15,600 --> 00:47:19,560
Speaker 1: I've seen on the Governor's part and also Attorney General

788
00:47:19,560 --> 00:47:25,520
Speaker 1: Ellison's part, they did anything criminal, however, I mean, law enforcement,

789
00:47:25,760 --> 00:47:32,200
Speaker 1: whatever the branch is, would be foolish, foolish not to

790
00:47:32,280 --> 00:47:35,719
Speaker 1: demand bank records and other things. You better damn well

791
00:47:35,760 --> 00:47:39,760
Speaker 1: believe if it were Donald J. Trump or JD Vance

792
00:47:39,880 --> 00:47:43,400
Speaker 1: or some Republican they'd be doing it. It's just again,

793
00:47:43,760 --> 00:47:48,920
Speaker 1: it all boils down to it's unfathomable to think that

794
00:47:48,920 --> 00:47:51,760
Speaker 1: these people didn't know about it, and if they didn't

795
00:47:51,800 --> 00:47:55,160
Speaker 1: do anything about it, they're either negligent or they had

796
00:47:55,239 --> 00:47:57,520
Speaker 1: something to do with it. As far as money in

797
00:47:57,560 --> 00:48:00,360
Speaker 1: the cookie jar. Now, Joe Biden, of course, the Biden

798
00:48:00,400 --> 00:48:03,480
Speaker 1: crime family, they got away with twenty million dollars of it.

799
00:48:03,960 --> 00:48:07,319
Speaker 1: But these guys shouldn't if in fact that's the case.

800
00:48:07,480 --> 00:48:10,080
Speaker 1: And I think with respect to Walls, he's so damn

801
00:48:10,200 --> 00:48:14,799
Speaker 1: dumb that maybe he really didn't know what was going on.

802
00:48:14,880 --> 00:48:17,840
Speaker 2: But it's kind of hard to believe that would not

803
00:48:17,960 --> 00:48:20,040
Speaker 2: be the case. Hey, listen, we got to take a break.

804
00:48:20,080 --> 00:48:22,520
Speaker 1: But when we get back where there's some things interesting

805
00:48:22,560 --> 00:48:26,160
Speaker 1: things brewing throughout the country politically, we are going to

806
00:48:26,200 --> 00:48:30,400
Speaker 1: talk to our independent political analyst, Kevin Burton about them.

807
00:48:30,560 --> 00:48:34,560
Speaker 1: One being the Texas Senate race. Jasmine Crockett is jumping

808
00:48:34,640 --> 00:48:39,440
Speaker 1: into that. The Ohio governor's race that's heating up, and

809
00:48:39,560 --> 00:48:43,160
Speaker 1: as ironerstand some of the polling, it's tie and not

810
00:48:43,280 --> 00:48:46,640
Speaker 1: too long ago Vi Veik and a hell of a

811
00:48:46,719 --> 00:48:51,719
Speaker 1: lead healthcare vote this week for Republicans switch parties. And

812
00:48:51,800 --> 00:48:54,920
Speaker 1: there was a special election in the Kentucky State Senate

813
00:48:55,239 --> 00:48:56,600
Speaker 1: that I want to ask Kevin.

814
00:48:56,400 --> 00:48:58,440
Speaker 2: About and we'll do that when we get back.

815
00:48:59,080 --> 00:49:01,879
Speaker 1: Mike, You're to talk about talk about it and give

816
00:49:01,960 --> 00:49:05,200
Speaker 1: us an independent perspective, which is always good to have.

817
00:49:06,000 --> 00:49:08,560
Speaker 1: Is our good friend, Kevin Burton. Kevin, thanks so much

818
00:49:08,600 --> 00:49:09,359
Speaker 1: for joining us.

819
00:49:09,280 --> 00:49:13,040
Speaker 2: This morning, Mike, thanks for having me my pleasure.

820
00:49:13,280 --> 00:49:15,919
Speaker 1: Hey, listen, it looks like a barnburner going on down

821
00:49:15,960 --> 00:49:19,399
Speaker 1: there in Texas for the Senate race. None other than

822
00:49:19,520 --> 00:49:23,680
Speaker 1: Jasmine the Mouth Crockett has declared her candidacy and apparently

823
00:49:24,080 --> 00:49:25,399
Speaker 1: she's serious about it.

824
00:49:26,120 --> 00:49:27,960
Speaker 2: You do have one Democrat.

825
00:49:28,080 --> 00:49:32,280
Speaker 1: It looks like a former representative, Colin Aureed. He dropped

826
00:49:32,320 --> 00:49:37,200
Speaker 1: out just hours before Jasmine Crockett filed to run, which

827
00:49:37,200 --> 00:49:39,200
Speaker 1: sounds to me is probably some kind of a deal.

828
00:49:39,239 --> 00:49:43,080
Speaker 1: But she does have she does have opposition in state

829
00:49:43,200 --> 00:49:48,080
Speaker 1: Representative James Tallerico. Your thoughts on that race, Kevin, does

830
00:49:48,160 --> 00:49:52,239
Speaker 1: Jasmine Crockett she got obviously have a good chance in

831
00:49:52,360 --> 00:49:55,680
Speaker 1: the primary, but does she have any shot at winning

832
00:49:55,680 --> 00:49:56,960
Speaker 1: that Senate seat?

833
00:49:58,040 --> 00:50:00,560
Speaker 12: Well, to me, this is a great micro cosm of

834
00:50:00,600 --> 00:50:04,960
Speaker 12: what democrats. You know, with Crockett you got a bullhorn,

835
00:50:06,080 --> 00:50:11,560
Speaker 12: you do. And with James, you know, he gained notoriety

836
00:50:11,600 --> 00:50:13,879
Speaker 12: of going on the Joe Rogan Show talking about how

837
00:50:13,920 --> 00:50:17,880
Speaker 12: faith shaped him. You know, a very compassionate, kind of

838
00:50:17,880 --> 00:50:21,600
Speaker 12: middle of the road, kind of like an Andy Sheerish type.

839
00:50:22,040 --> 00:50:27,640
Speaker 12: So to me, I'm very fascinated in this race because, well,

840
00:50:27,680 --> 00:50:30,520
Speaker 12: Democrat voters vote for someone who they think could possibly

841
00:50:30,760 --> 00:50:34,120
Speaker 12: pull an upset or someone who's just the loudest in

842
00:50:34,120 --> 00:50:34,520
Speaker 12: the room.

843
00:50:34,760 --> 00:50:34,960
Speaker 2: Right.

844
00:50:35,560 --> 00:50:39,320
Speaker 1: You know what's interesting about Jasmine Crockett in doing some research,

845
00:50:39,680 --> 00:50:41,319
Speaker 1: you know, probably a year or so.

846
00:50:41,280 --> 00:50:44,640
Speaker 2: Ago, looking at it, she she's a lawyer.

847
00:50:45,080 --> 00:50:47,400
Speaker 1: Not that that makes her it's smart anybody else, but

848
00:50:47,960 --> 00:50:51,360
Speaker 1: when she wants to be, she can at least appear

849
00:50:52,239 --> 00:50:56,240
Speaker 1: quite reasonable. It looks like she's pulling a Kamala Harris.

850
00:50:56,239 --> 00:51:00,319
Speaker 1: Sometimes when she's before a different kind of crowd, she'll

851
00:51:00,400 --> 00:51:04,560
Speaker 1: change her style and along those lines, there is a

852
00:51:04,600 --> 00:51:08,440
Speaker 1: poll that I saw she's got an eighty nine to

853
00:51:08,719 --> 00:51:14,880
Speaker 1: eight percent lead among African Americans. That's obviously very very substantial.

854
00:51:14,960 --> 00:51:18,040
Speaker 1: But I mean, do you see that as well, Kevin,

855
00:51:18,080 --> 00:51:21,839
Speaker 1: that she kind of crashs her message to whoever she's

856
00:51:21,880 --> 00:51:23,719
Speaker 1: talking to, and you know, you're not going to get

857
00:51:23,760 --> 00:51:24,720
Speaker 1: away with that very.

858
00:51:24,560 --> 00:51:27,759
Speaker 12: Long well, and that's one of the problems when you

859
00:51:27,800 --> 00:51:31,719
Speaker 12: are a congress person because usually you are giving red

860
00:51:31,760 --> 00:51:34,560
Speaker 12: meat to your district. Yeah, it doesn't matter if you're

861
00:51:34,680 --> 00:51:38,279
Speaker 12: left or right, because they're also Jerrymander that like, you

862
00:51:38,320 --> 00:51:41,560
Speaker 12: don't really have someone who actually has to run towards

863
00:51:41,640 --> 00:51:45,560
Speaker 12: the middle. And you know, I think one thing, and

864
00:51:45,600 --> 00:51:49,680
Speaker 12: it's Texas, So you know, the Hispanic.

865
00:51:49,360 --> 00:51:51,000
Speaker 13: Vote's gonna be very very important.

866
00:51:53,000 --> 00:51:57,200
Speaker 12: You know, James and I always butcher his last name, Tellerico.

867
00:51:58,880 --> 00:52:01,640
Speaker 12: You know, Obama even called him, you know, one of

868
00:52:01,680 --> 00:52:06,120
Speaker 12: the things one of the Democrats doing something right before

869
00:52:06,200 --> 00:52:08,759
Speaker 12: Jason Crockett entered this race.

870
00:52:08,920 --> 00:52:11,360
Speaker 2: Really, I'm sure you'll hear that again.

871
00:52:12,680 --> 00:52:16,719
Speaker 12: Yeah, and you know, he's very prevalent on TikTok and

872
00:52:16,760 --> 00:52:19,160
Speaker 12: things like that, you know, using state and just trying

873
00:52:19,200 --> 00:52:23,160
Speaker 12: to and I'm really fascinated in this because I think

874
00:52:23,200 --> 00:52:25,719
Speaker 12: it's going to show what the rest of twenty six

875
00:52:25,840 --> 00:52:28,480
Speaker 12: is going to do. Are the Democrats going to try

876
00:52:28,480 --> 00:52:30,680
Speaker 12: to run towards the middle and we've had this conversation

877
00:52:30,920 --> 00:52:31,640
Speaker 12: how many times?

878
00:52:31,760 --> 00:52:35,760
Speaker 13: Or are they gonna run just to be anti Trump

879
00:52:35,800 --> 00:52:37,040
Speaker 13: and not anything else?

880
00:52:37,160 --> 00:52:40,839
Speaker 12: Sure, we've seen this before that, you know, same thing

881
00:52:40,880 --> 00:52:42,120
Speaker 12: with like EMUs Mandani.

882
00:52:42,320 --> 00:52:45,520
Speaker 13: Like people are willing to vote for someone if they

883
00:52:45,520 --> 00:52:46,600
Speaker 13: actually know what they're standing for.

884
00:52:46,920 --> 00:52:50,960
Speaker 12: Just saying Trump sucks, we get it, we get it,

885
00:52:50,960 --> 00:52:51,960
Speaker 12: it's been ten years.

886
00:52:52,320 --> 00:52:53,240
Speaker 13: Give us something else.

887
00:52:53,320 --> 00:52:55,160
Speaker 2: Yep, you're right and looking at it.

888
00:52:55,200 --> 00:52:58,920
Speaker 1: Here in early Texas Southern University poll, I guess it

889
00:52:58,960 --> 00:53:04,960
Speaker 1: was conducted shortly after her announcement, Crockett is leading tall

890
00:53:05,120 --> 00:53:09,359
Speaker 1: Rico fifty forty three percent, So I mean she's got

891
00:53:09,400 --> 00:53:12,000
Speaker 1: that edge going in. I guess we'll just have to see.

892
00:53:12,280 --> 00:53:16,000
Speaker 1: The bigger question obviously, is can she beat John Cornyn

893
00:53:16,120 --> 00:53:20,080
Speaker 1: or Ken Paxton? And I guess there's another one, Wesley Hunt,

894
00:53:20,960 --> 00:53:22,480
Speaker 1: Houston area Congressman.

895
00:53:23,520 --> 00:53:24,960
Speaker 2: Are the people of Texas?

896
00:53:25,040 --> 00:53:27,320
Speaker 1: I guess, is there any way the people of Texas

897
00:53:27,560 --> 00:53:30,080
Speaker 1: would elect this woman as their senator?

898
00:53:31,440 --> 00:53:32,320
Speaker 14: No?

899
00:53:32,960 --> 00:53:38,000
Speaker 12: And easier to know, the only reason that we're even

900
00:53:38,040 --> 00:53:42,120
Speaker 12: talking about those races because it's just a great microcosm

901
00:53:42,400 --> 00:53:46,560
Speaker 12: of the battle inside the Democratic Party. You know, tall

902
00:53:46,800 --> 00:53:50,800
Speaker 12: Ico actually has a chance to actually flip that seat

903
00:53:51,080 --> 00:53:53,839
Speaker 12: because he's the quintessential kind of Democrat that you would

904
00:53:53,880 --> 00:53:58,160
Speaker 12: want in Texas, and if they could, if he wins that,

905
00:53:58,360 --> 00:54:00,960
Speaker 12: then we're talking about maybe the Senate might be up,

906
00:54:01,400 --> 00:54:05,560
Speaker 12: you know, the control of the Senate might be up.

907
00:54:06,040 --> 00:54:09,640
Speaker 12: But if Crockett wins, which you know, primaries are always

908
00:54:09,680 --> 00:54:11,239
Speaker 12: favor people of the extremes.

909
00:54:11,400 --> 00:54:14,640
Speaker 13: Sure, no, no, there's no path.

910
00:54:15,000 --> 00:54:16,120
Speaker 2: Yeah, and you look at it too.

911
00:54:16,160 --> 00:54:19,080
Speaker 1: The primary down in Texas, I guess, is scheduled for

912
00:54:19,280 --> 00:54:21,560
Speaker 1: March the third. And you're right, Kevin, I mean that

913
00:54:21,719 --> 00:54:24,399
Speaker 1: is a good indicator of which way, not so much

914
00:54:24,440 --> 00:54:28,239
Speaker 1: the party leaders, but what party faithful want to do.

915
00:54:28,320 --> 00:54:31,279
Speaker 1: And that one bears watching. Hey, I want another one

916
00:54:31,280 --> 00:54:34,640
Speaker 1: that bears watching Ohio governor's race. Well, I'll tell you

917
00:54:34,680 --> 00:54:37,040
Speaker 1: what if I'm not mistaken, Kevin, and you'll correct me

918
00:54:37,080 --> 00:54:40,800
Speaker 1: if I'm wrong. I mean, the veak Ramaswami had a huge,

919
00:54:41,360 --> 00:54:46,000
Speaker 1: huge lead going into this thing, or shortly after he announced.

920
00:54:46,640 --> 00:54:49,839
Speaker 1: From what I am seeing, it's it's about even now.

921
00:54:49,920 --> 00:54:54,480
Speaker 1: I guess there's a poll out Ohio Federation the Teachers.

922
00:54:54,880 --> 00:54:57,400
Speaker 2: I certainly take that with a great assault from.

923
00:54:57,200 --> 00:55:02,680
Speaker 1: Where that's Yeah, that shows her slightly up anyway you

924
00:55:02,680 --> 00:55:03,239
Speaker 1: look at it.

925
00:55:03,360 --> 00:55:05,960
Speaker 2: She's closing the gap. I mean, what's your thought on that.

926
00:55:08,520 --> 00:55:12,319
Speaker 12: Yeah, So always be wary of internal polls. You can

927
00:55:12,360 --> 00:55:15,360
Speaker 12: sew the numbers because you also want to just skip base.

928
00:55:16,360 --> 00:55:18,760
Speaker 12: But by all the indications, the race has closed.

929
00:55:19,320 --> 00:55:20,600
Speaker 13: You know, we know who it is.

930
00:55:20,640 --> 00:55:23,960
Speaker 12: And I think part of the problem with Vivec is

931
00:55:24,600 --> 00:55:28,680
Speaker 12: Dwain has already said he's not endorsing him yet. Age

932
00:55:28,840 --> 00:55:32,120
Speaker 12: Yo said it was the wrong decision just to appoint him.

933
00:55:31,960 --> 00:55:32,960
Speaker 13: A year before.

934
00:55:34,400 --> 00:55:36,560
Speaker 12: And then you know Dwaine's comment of saying, listen, I

935
00:55:36,640 --> 00:55:39,800
Speaker 12: was the governor during COVID. You know, you can't blame

936
00:55:39,800 --> 00:55:42,000
Speaker 12: Amy for that. The buck stops with me. So that

937
00:55:42,080 --> 00:55:43,680
Speaker 12: kind of hurts their messaging point.

938
00:55:43,880 --> 00:55:46,040
Speaker 1: Yeah, and do you see that Kevin is just a

939
00:55:46,080 --> 00:55:47,720
Speaker 1: blatant shot at Trump.

940
00:55:49,719 --> 00:55:52,760
Speaker 12: I mean, I'm kind of in the minority here where

941
00:55:52,960 --> 00:55:55,200
Speaker 12: I don't blame I don't care if your newsme to

942
00:55:55,440 --> 00:55:58,719
Speaker 12: Ron DeSantis. Yeah, there was no playbook for COVID. There

943
00:55:58,800 --> 00:56:04,600
Speaker 12: was no playbook. I'm not gonna Monday Morning quarterback Governor's decisions.

944
00:56:04,760 --> 00:56:07,200
Speaker 12: You know, we all agreed it sucks. Let's not go

945
00:56:07,280 --> 00:56:12,120
Speaker 12: through it again, right, But I'm not gonna criticize that.

946
00:56:12,360 --> 00:56:16,239
Speaker 12: But I think the rising costs in everything, you know,

947
00:56:16,320 --> 00:56:19,200
Speaker 12: it is going to be a blue wave just historically.

948
00:56:19,280 --> 00:56:22,320
Speaker 12: You know, this is the checks and balances of government,

949
00:56:23,960 --> 00:56:27,680
Speaker 12: and the vec's gonna have to It's yeah, his momentum

950
00:56:27,760 --> 00:56:31,719
Speaker 12: has stalled, but once again, we're still ten months out,

951
00:56:31,960 --> 00:56:34,839
Speaker 12: so you know there's a lot of time. You know,

952
00:56:35,120 --> 00:56:40,120
Speaker 12: Trump most likely will be here campaigning for him because

953
00:56:40,120 --> 00:56:43,160
Speaker 12: also there's congressional seats, so you know you're gonna have

954
00:56:43,680 --> 00:56:47,760
Speaker 12: a lot of money poured in. You know, does Amy

955
00:56:47,760 --> 00:56:50,560
Speaker 12: get a benefit that she has shared Brown with her

956
00:56:50,640 --> 00:56:56,319
Speaker 12: running Yes, But if you ask me today, I mean

957
00:56:56,400 --> 00:56:58,040
Speaker 12: the fact I would still if I was.

958
00:56:58,000 --> 00:57:00,000
Speaker 13: A bettingman, I would still put money onto the BacT.

959
00:57:00,120 --> 00:57:02,120
Speaker 1: Do you think Amy Acton is going to be able

960
00:57:02,120 --> 00:57:04,280
Speaker 1: to raise competitive money?

961
00:57:04,360 --> 00:57:05,839
Speaker 2: Now we all know that they can.

962
00:57:07,000 --> 00:57:09,960
Speaker 1: Yeah, she's obviously gonna have the unions and some of

963
00:57:10,000 --> 00:57:12,439
Speaker 1: the other groups, But do you think she'll be able

964
00:57:12,480 --> 00:57:14,480
Speaker 1: to raise enough dough to make this competitive?

965
00:57:16,160 --> 00:57:16,680
Speaker 13: I think so.

966
00:57:16,880 --> 00:57:22,000
Speaker 12: She ironically hired a lot of Shared Brown's people. You know,

967
00:57:22,040 --> 00:57:24,160
Speaker 12: it's kind of like when a coach leaves, they take

968
00:57:24,240 --> 00:57:28,760
Speaker 12: all the number two's and make them number one. So yeah,

969
00:57:28,800 --> 00:57:30,640
Speaker 12: so I think she'll be able to make it a

970
00:57:30,720 --> 00:57:34,920
Speaker 12: very compelling race. But the truth of the matter is

971
00:57:35,080 --> 00:57:37,280
Speaker 12: most of the money in Ohio is going to come

972
00:57:37,320 --> 00:57:44,600
Speaker 12: in for the Senate race because because that's where people

973
00:57:44,640 --> 00:57:49,560
Speaker 12: care now and historically, you know, Ohio is the inverse

974
00:57:49,600 --> 00:57:53,000
Speaker 12: of Kentucky. You guys have had how many Democratic governors

975
00:57:53,120 --> 00:57:55,840
Speaker 12: in like the last like fifty years, like two or three,

976
00:57:56,400 --> 00:58:00,520
Speaker 12: So it's the inverse of Kentucky. So until proven otherwise,

977
00:58:00,840 --> 00:58:01,920
Speaker 12: I would bet on the back.

978
00:58:02,560 --> 00:58:04,600
Speaker 1: Yeah, I think you're right about that. It does look

979
00:58:04,680 --> 00:58:08,360
Speaker 1: like it's closing somewhat. And Amy act and I don't

980
00:58:08,400 --> 00:58:11,480
Speaker 1: know much about her, I don't think anybody does. But

981
00:58:11,560 --> 00:58:15,280
Speaker 1: she appears to be a credible candidate. So we'll have

982
00:58:15,320 --> 00:58:17,400
Speaker 1: to see what happens on that. Hey, I wanted to

983
00:58:17,440 --> 00:58:19,880
Speaker 1: talk to you too, just I guess it was this

984
00:58:19,920 --> 00:58:23,560
Speaker 1: week or last week, there were four House Republicans, so

985
00:58:23,640 --> 00:58:27,000
Speaker 1: called moderates. They broke the party ranks to join with

986
00:58:27,200 --> 00:58:31,800
Speaker 1: Democrats and signing that discharge position a petition, which of

987
00:58:31,800 --> 00:58:35,480
Speaker 1: course forces a floor vote extending the Affordable Care Act.

988
00:58:35,840 --> 00:58:38,360
Speaker 1: And boy, I'll tell you that that seems like it's

989
00:58:38,440 --> 00:58:41,000
Speaker 1: slapping the face to Speaker Johnson.

990
00:58:41,040 --> 00:58:42,160
Speaker 2: Your thoughts on that.

991
00:58:43,240 --> 00:58:45,560
Speaker 12: It's a major slap in the face of Speaker Johnson,

992
00:58:45,600 --> 00:58:48,920
Speaker 12: because now every single House person.

993
00:58:49,200 --> 00:58:51,840
Speaker 13: Is going to have a vote. So if you do

994
00:58:51,920 --> 00:58:52,920
Speaker 13: not vote to.

995
00:58:52,800 --> 00:58:59,160
Speaker 12: Extend the Affordable Care Act and the premiums, you're gonna

996
00:58:59,280 --> 00:59:02,840
Speaker 12: that's gonna be the thing, biggest, you know, issue this campaign.

997
00:59:02,960 --> 00:59:05,360
Speaker 12: So there was a gallup pulled on five days ago.

998
00:59:05,840 --> 00:59:10,120
Speaker 12: Forty seven percent of Americans belief healthcare is a major problem.

999
00:59:10,160 --> 00:59:13,920
Speaker 12: Why twenty nine percent does cites it as the most

1000
00:59:14,400 --> 00:59:20,520
Speaker 12: important issue. So regardless of the pollar, it's a major, major,

1001
00:59:20,560 --> 00:59:21,400
Speaker 12: major issue.

1002
00:59:22,120 --> 00:59:25,560
Speaker 13: And honestly, the Democrats got what they wanted. There's going

1003
00:59:25,640 --> 00:59:26,560
Speaker 13: to have to be a vote.

1004
00:59:26,680 --> 00:59:30,040
Speaker 12: And you know, Republicans now are either going to have

1005
00:59:30,040 --> 00:59:34,200
Speaker 12: the vote to keep the premiums, which is a win

1006
00:59:34,280 --> 00:59:38,680
Speaker 12: for Democrats, or vote no then be exposed in the

1007
00:59:38,720 --> 00:59:39,560
Speaker 12: campaign cycle.

1008
00:59:39,840 --> 00:59:42,840
Speaker 2: Yeah, and the Democrats they got that like a dog

1009
00:59:42,880 --> 00:59:43,440
Speaker 2: with a bone.

1010
00:59:43,480 --> 00:59:45,800
Speaker 1: And you know, of course said they were only supposed

1011
00:59:45,800 --> 00:59:47,560
Speaker 1: to be temporary, but you know how it is with

1012
00:59:47,640 --> 00:59:51,440
Speaker 1: government when it comes to funding issues, it's never temporary.

1013
00:59:51,520 --> 00:59:54,000
Speaker 2: So I guess we have to see how that plays out.

1014
00:59:54,240 --> 00:59:55,880
Speaker 1: Last thing, and you told me about this, and this

1015
00:59:56,040 --> 01:00:00,560
Speaker 1: is really interesting with respect to Kentucky special I guess

1016
01:00:00,560 --> 01:00:05,080
Speaker 1: it was last Tuesday. Democrat Gary Clemens won the race

1017
01:00:05,120 --> 01:00:08,880
Speaker 1: for Kentucky Senate District thirty seven. Didn't just win, it

1018
01:00:09,240 --> 01:00:13,200
Speaker 1: won it by seventy two point six percent. The Republican

1019
01:00:13,320 --> 01:00:17,240
Speaker 1: Calvin Leech, he's like way behind that twenty five percent.

1020
01:00:17,280 --> 01:00:19,760
Speaker 1: I think he got What do you read into that?

1021
01:00:19,800 --> 01:00:22,720
Speaker 1: And I know you have a lot of knowledge of

1022
01:00:22,840 --> 01:00:26,680
Speaker 1: Kentucky politics, Kevin, what's your read on that and what

1023
01:00:26,760 --> 01:00:27,960
Speaker 1: we can take away from it?

1024
01:00:28,960 --> 01:00:31,880
Speaker 12: Well, first off, it was a Democratic district, so that

1025
01:00:32,040 --> 01:00:37,439
Speaker 12: is okay and foremost, but they also ran a labor guy.

1026
01:00:37,600 --> 01:00:41,320
Speaker 12: They ran a blue collar I'm sorry, I can't remember

1027
01:00:41,320 --> 01:00:42,760
Speaker 12: if he's left steel worker.

1028
01:00:44,120 --> 01:00:48,000
Speaker 1: Wendy Higden. There's a she got one hundred twenty one votes,

1029
01:00:48,080 --> 01:00:48,960
Speaker 1: so probably not her.

1030
01:00:50,200 --> 01:00:53,840
Speaker 12: Yeah, so Gary, he you know, he's a very blue

1031
01:00:53,880 --> 01:01:02,160
Speaker 12: collar person. And special elections always favor the party who's upset, right,

1032
01:01:02,200 --> 01:01:05,280
Speaker 12: because they're going to rally their base. We saw this

1033
01:01:05,480 --> 01:01:09,200
Speaker 12: the last four years with Republicans. We're seeing this now

1034
01:01:09,240 --> 01:01:12,400
Speaker 12: with Democrats. The special elections I always take with a

1035
01:01:12,560 --> 01:01:18,160
Speaker 12: very just with a grain assault because whoever's energized, they're

1036
01:01:18,240 --> 01:01:22,800
Speaker 12: going to put up huge numbers. And you know, Frankly

1037
01:01:22,920 --> 01:01:28,320
Speaker 12: and Kentucky, there's six Senate Democrats. So for the Republicans,

1038
01:01:28,880 --> 01:01:31,000
Speaker 12: why would you spend a lot of money on that race?

1039
01:01:31,480 --> 01:01:32,200
Speaker 2: Right? Right?

1040
01:01:32,760 --> 01:01:35,160
Speaker 1: But I mean just the margin of victory here, I

1041
01:01:35,160 --> 01:01:38,800
Speaker 1: would think would give Democrats some reason to be happy

1042
01:01:38,800 --> 01:01:40,400
Speaker 1: about it. I know you mentioned that it was a

1043
01:01:40,440 --> 01:01:41,800
Speaker 1: Democrat district.

1044
01:01:41,440 --> 01:01:46,240
Speaker 12: Though, yeah, yeah, So I mean he did overperform, you know,

1045
01:01:46,360 --> 01:01:49,880
Speaker 12: by forty two points, which is a lot. But I

1046
01:01:49,880 --> 01:01:54,440
Speaker 12: would also caution because you know it is a special election, yep.

1047
01:01:54,440 --> 01:01:54,800
Speaker 2: It is.

1048
01:01:56,000 --> 01:01:58,640
Speaker 12: So for Democrats, you know, it's a great messaging point

1049
01:01:58,680 --> 01:02:02,200
Speaker 12: saying we ever performed by four two points where energized,

1050
01:02:02,320 --> 01:02:07,920
Speaker 12: give us money. Because Kentucky House up until twenty sixteen

1051
01:02:08,040 --> 01:02:10,720
Speaker 12: was actually still controlled by Democrats. Now it's all the

1052
01:02:10,760 --> 01:02:13,520
Speaker 12: way down to twenty only members. So I think this

1053
01:02:13,640 --> 01:02:16,400
Speaker 12: is going to fund a lot of these house races

1054
01:02:17,320 --> 01:02:20,880
Speaker 12: in the Commonwealth. But also once again I wanted to

1055
01:02:20,880 --> 01:02:23,440
Speaker 12: take caution, people take this with a grain of salt.

1056
01:02:24,000 --> 01:02:27,240
Speaker 12: It is a special election two weeks before Christmas.

1057
01:02:27,240 --> 01:02:27,760
Speaker 2: I gotcha.

1058
01:02:27,840 --> 01:02:30,600
Speaker 1: Hey, Unfortunately we're out of time, but I'm gonna be

1059
01:02:30,680 --> 01:02:34,720
Speaker 1: with you Wednesday morning. I believe I'm in for Sloani

1060
01:02:34,760 --> 01:02:37,120
Speaker 1: and we'll have plenty to talk about. But appreciate you

1061
01:02:37,200 --> 01:02:38,000
Speaker 1: coming on today.

1062
01:02:39,200 --> 01:02:41,600
Speaker 12: But thank you as always, and Merry Christmas to all

1063
01:02:41,640 --> 01:02:42,520
Speaker 12: your listeners.

1064
01:02:42,640 --> 01:02:45,960
Speaker 2: You too, Thank you. Kevin nig you bye bye.

1065
01:02:46,080 --> 01:02:48,800
Speaker 1: Yeah, you know, interesting stuff, And man, I love getting

1066
01:02:48,800 --> 01:02:51,720
Speaker 1: a scoop from him because you get it straight down

1067
01:02:51,800 --> 01:02:53,160
Speaker 1: the line. Hey, we got to take a break for

1068
01:02:53,240 --> 01:02:56,120
Speaker 1: the news, but when we get back, we're going to

1069
01:02:56,160 --> 01:02:59,400
Speaker 1: be talking to Jameis Heisel. The Epoch time she is filed.

1070
01:02:59,440 --> 01:03:04,480
Speaker 1: I believe five separate stories this week. I'm gonna ask.

1071
01:03:04,560 --> 01:03:07,680
Speaker 1: I think she's probably on the ground out there in Minnesota.

1072
01:03:07,720 --> 01:03:11,000
Speaker 1: But boy, i'll tell you what, probably more than any

1073
01:03:11,040 --> 01:03:14,840
Speaker 1: other national reporter, she's on this thing like White on Rice,

1074
01:03:14,880 --> 01:03:17,120
Speaker 1: and I got a lot of questions for we'll do

1075
01:03:17,160 --> 01:03:26,160
Speaker 1: that when we get back. Mike Allen Saturday Midday there's

1076
01:03:26,240 --> 01:03:29,640
Speaker 1: Radio seven hundred WLW Mike Allen with the third and

1077
01:03:29,720 --> 01:03:34,840
Speaker 1: final hour of Saturday Midday. Well, you know what, I

1078
01:03:34,880 --> 01:03:37,640
Speaker 1: guess you could call this the gift that keeps on given.

1079
01:03:38,560 --> 01:03:43,560
Speaker 1: I'm talking, of course, about the Minnesota fraud cases. Janie Heisel,

1080
01:03:43,720 --> 01:03:47,480
Speaker 1: senior reporter for the Epoch Times, is on this like

1081
01:03:47,760 --> 01:03:52,320
Speaker 1: White on Rice, and she filed no fewer than, I believe,

1082
01:03:52,520 --> 01:03:56,760
Speaker 1: five separate stories, all great stories with a lot of

1083
01:03:56,760 --> 01:04:01,520
Speaker 1: information on what's going on. There a thanks for joining us,

1084
01:04:01,520 --> 01:04:05,520
Speaker 1: and are you there or are you reporting from here?

1085
01:04:06,760 --> 01:04:09,480
Speaker 3: I have made it safely home in time for Christmas,

1086
01:04:09,520 --> 01:04:12,680
Speaker 3: and I'm really glad for that. But I got to

1087
01:04:12,760 --> 01:04:16,840
Speaker 3: tell you you're exactly right when you say that there's

1088
01:04:16,920 --> 01:04:19,920
Speaker 3: just so much going on with this. I were literally

1089
01:04:20,120 --> 01:04:23,080
Speaker 3: working pretty much around the clock just but although not

1090
01:04:23,440 --> 01:04:25,600
Speaker 3: to the computers say that's what they're doing, but they

1091
01:04:25,880 --> 01:04:29,400
Speaker 3: they literally are are shreading water. They can't keep up

1092
01:04:29,400 --> 01:04:31,840
Speaker 3: with all of this, and there's you know, one of

1093
01:04:31,840 --> 01:04:34,240
Speaker 3: the analogies I heard was, it's kind of like you're

1094
01:04:34,320 --> 01:04:36,840
Speaker 3: drowning and somebody won't turn off the hose to the

1095
01:04:36,960 --> 01:04:39,040
Speaker 3: swimming bowl that keeps pulling it up.

1096
01:04:39,240 --> 01:04:40,440
Speaker 2: That's a good analogy.

1097
01:04:41,880 --> 01:04:45,000
Speaker 3: So that's what that's where prosecutors are, and frankly I

1098
01:04:45,040 --> 01:04:47,760
Speaker 3: feel a little bit that way too. The work I

1099
01:04:47,840 --> 01:04:49,400
Speaker 3: do is far less.

1100
01:04:49,240 --> 01:04:51,840
Speaker 14: Significant, but Manna, I think it's it.

1101
01:04:51,840 --> 01:04:54,640
Speaker 3: Is important to inform people, especially because one of the

1102
01:04:54,640 --> 01:04:59,800
Speaker 3: stories I'm currently working on does talk about you're putting

1103
01:04:59,840 --> 01:05:03,280
Speaker 3: this minisoda fraud into context. I mean, there are fraud

1104
01:05:03,320 --> 01:05:09,040
Speaker 3: problems across the government with these you know, basically government

1105
01:05:09,080 --> 01:05:12,880
Speaker 3: handout programs. But the interesting things that I'd like to

1106
01:05:12,960 --> 01:05:17,360
Speaker 3: emphasize that I feel most people may not realize is

1107
01:05:17,480 --> 01:05:22,640
Speaker 3: that I've run across reports who absolutely which absolutely document this.

1108
01:05:24,080 --> 01:05:29,240
Speaker 3: Those the prodsters are not the people who are beneficiaries, right,

1109
01:05:29,320 --> 01:05:32,200
Speaker 3: And they're not the people that are going. If they do,

1110
01:05:32,440 --> 01:05:35,680
Speaker 3: they're not very big amounts. And the system is easily

1111
01:05:35,800 --> 01:05:37,760
Speaker 3: set up to catch those people.

1112
01:05:37,760 --> 01:05:40,000
Speaker 14: Who are getting you know, who are getting a lot

1113
01:05:40,040 --> 01:05:40,720
Speaker 14: of the benefits.

1114
01:05:41,120 --> 01:05:43,800
Speaker 3: The people who are really raking in the big dough

1115
01:05:43,920 --> 01:05:48,400
Speaker 3: by millions of dollars are providers of services raising from

1116
01:05:48,440 --> 01:05:52,360
Speaker 3: stuff like ambulance, uh, you know, transportation or you know

1117
01:05:52,440 --> 01:05:55,600
Speaker 3: taking a bus of a van to a medical appointment

1118
01:05:55,840 --> 01:05:58,240
Speaker 3: or you know, they claim they picked up missus Jones

1119
01:05:58,280 --> 01:06:02,200
Speaker 3: when and can people when they never did it, and

1120
01:06:02,360 --> 01:06:06,120
Speaker 3: just billing for all this and providing meals to children

1121
01:06:06,200 --> 01:06:10,280
Speaker 3: who didn't exist, and just literally making up records and

1122
01:06:10,360 --> 01:06:14,640
Speaker 3: smitting those and never being chucked until somebody looks and goes,

1123
01:06:14,640 --> 01:06:16,400
Speaker 3: wait a minute, you paid five thousand kids in one

1124
01:06:16,480 --> 01:06:20,680
Speaker 3: day and you have the staff of three. That is

1125
01:06:20,760 --> 01:06:23,920
Speaker 3: the big point that I would like people to recognize that, yes,

1126
01:06:24,000 --> 01:06:26,520
Speaker 3: there are people who gain the system welfare seets, you know,

1127
01:06:26,920 --> 01:06:29,720
Speaker 3: and people really resent that. But the big, big dollars

1128
01:06:29,800 --> 01:06:34,120
Speaker 3: do seem to be going to these individual providers, companies

1129
01:06:34,360 --> 01:06:39,920
Speaker 3: and people who provide services or are supposed to people.

1130
01:06:39,760 --> 01:06:40,560
Speaker 10: Who do need it.

1131
01:06:41,160 --> 01:06:43,120
Speaker 1: And that's the thing, and that's one of the things

1132
01:06:43,160 --> 01:06:45,439
Speaker 1: that almost brings tears to your eyes. I mean, yeah,

1133
01:06:45,560 --> 01:06:49,760
Speaker 1: you talk about children with autism, children who are hungry

1134
01:06:49,880 --> 01:06:52,920
Speaker 1: and need to eat. It's just, you know, there ought

1135
01:06:52,960 --> 01:06:54,880
Speaker 1: to be and maybe there is in the Federal Code

1136
01:06:56,200 --> 01:06:59,960
Speaker 1: specification that jumps it up a couple of years or more.

1137
01:07:00,840 --> 01:07:01,240
Speaker 7: Just for that.

1138
01:07:01,680 --> 01:07:04,440
Speaker 1: It just makes you sick. You know your stories. You

1139
01:07:04,520 --> 01:07:07,320
Speaker 1: did one on Thursday. I'll just read the headline here

1140
01:07:07,680 --> 01:07:13,800
Speaker 1: taxpayers money. This is astounding taxpayers money still flowing to

1141
01:07:13,960 --> 01:07:19,320
Speaker 1: indicted fraud suspect. So the dudes indicted, but according to

1142
01:07:19,360 --> 01:07:22,360
Speaker 1: your story, he's still getting taxpayer money.

1143
01:07:22,640 --> 01:07:23,800
Speaker 2: How can that happen?

1144
01:07:25,520 --> 01:07:26,080
Speaker 14: Well, that is.

1145
01:07:26,120 --> 01:07:29,720
Speaker 3: Exactly the question raised by the head of there's a

1146
01:07:29,800 --> 01:07:34,560
Speaker 3: flub committee that was formed in the legislature that has

1147
01:07:34,640 --> 01:07:37,280
Speaker 3: continued to meet even while the legislature has been out

1148
01:07:37,360 --> 01:07:40,440
Speaker 3: of session because they believe it's so important to continue

1149
01:07:40,480 --> 01:07:42,840
Speaker 3: this work. The lady who is heading that is actually

1150
01:07:42,920 --> 01:07:48,760
Speaker 3: running against Governor Wall. Her name is a representative a

1151
01:07:48,920 --> 01:07:54,920
Speaker 3: lot of Robbins, and you know, I trying to get

1152
01:07:54,960 --> 01:07:57,160
Speaker 3: too deep into the political back and forth between her

1153
01:07:57,200 --> 01:07:59,160
Speaker 3: and him, and this is this sort of thing. But

1154
01:07:59,320 --> 01:08:06,160
Speaker 3: she raises a lot of very concerning situations. I highlighted

1155
01:08:06,240 --> 01:08:09,840
Speaker 3: this one because I too was going it was a

1156
01:08:09,960 --> 01:08:12,600
Speaker 3: jaw dropping moment. I mean, as a reporter, I wasn't

1157
01:08:12,640 --> 01:08:14,480
Speaker 3: there at the time. I was listening to this on

1158
01:08:14,560 --> 01:08:17,960
Speaker 3: a live stream via internet, and you know, sometimes you

1159
01:08:18,080 --> 01:08:19,960
Speaker 3: just sit there, you're looking at your computer screen it's

1160
01:08:20,040 --> 01:08:23,080
Speaker 3: throning on and on. But no, this meeting wasn't this way.

1161
01:08:23,720 --> 01:08:26,320
Speaker 3: There were many things that were being raised that my

1162
01:08:26,479 --> 01:08:29,280
Speaker 3: jaw just kept dropping open and I went, what what?

1163
01:08:30,120 --> 01:08:31,400
Speaker 3: And now?

1164
01:08:31,880 --> 01:08:34,360
Speaker 14: In you know, to be fair, you know, I.

1165
01:08:34,520 --> 01:08:37,679
Speaker 3: Did try to contact and get response from the guy

1166
01:08:37,760 --> 01:08:40,720
Speaker 3: who is the inspector general for the welfare department there.

1167
01:08:41,120 --> 01:08:42,080
Speaker 3: He did respond to.

1168
01:08:42,120 --> 01:08:42,840
Speaker 14: Me the next day.

1169
01:08:43,280 --> 01:08:46,280
Speaker 3: I later added his comments into my story. He is

1170
01:08:47,240 --> 01:08:50,560
Speaker 3: asserting that his department has cross checked the names of

1171
01:08:50,640 --> 01:08:53,439
Speaker 3: the indicted people against people or receiving money.

1172
01:08:53,880 --> 01:08:57,880
Speaker 14: But again that conflicts with but when were those checks done?

1173
01:08:58,400 --> 01:09:02,559
Speaker 3: Just recently? You know, because this information this this lady

1174
01:09:02,640 --> 01:09:07,519
Speaker 3: provided seem to be very backed up by research. Uh

1175
01:09:07,880 --> 01:09:09,800
Speaker 3: and they even pertinence a chart. I don't know if

1176
01:09:09,800 --> 01:09:12,120
Speaker 3: you had a chance to see that, but it literally

1177
01:09:12,240 --> 01:09:15,519
Speaker 3: is a web, a web of like you have this

1178
01:09:15,840 --> 01:09:19,719
Speaker 3: one defendant, and this person is tied to this company,

1179
01:09:20,280 --> 01:09:23,680
Speaker 3: and then the wife runs that company, and then you know,

1180
01:09:23,840 --> 01:09:26,479
Speaker 3: there are four other properties that they own, and a

1181
01:09:26,600 --> 01:09:29,120
Speaker 3: realtor is the one who is hooking them up with

1182
01:09:29,200 --> 01:09:31,400
Speaker 3: all these and then that realtor is connected to other

1183
01:09:31,520 --> 01:09:35,479
Speaker 3: people who are accused, and on and on. And this

1184
01:09:35,760 --> 01:09:39,960
Speaker 3: little flow chart about what that shows? The interconnected web

1185
01:09:40,560 --> 01:09:46,519
Speaker 3: of suspicious actors or even you know, indicted in some

1186
01:09:46,640 --> 01:09:52,560
Speaker 3: cases fraudulent actors is really it makes your eyes just

1187
01:09:52,720 --> 01:09:54,920
Speaker 3: pop out when you look at this chart and you

1188
01:09:55,040 --> 01:09:58,040
Speaker 3: think about the fact that this is one person and

1189
01:09:58,120 --> 01:10:00,559
Speaker 3: there are one tie three for prizes on the probably

1190
01:10:00,680 --> 01:10:07,920
Speaker 3: two dozen bubbles of interconnected dots and lines showing businesses, entities,

1191
01:10:09,080 --> 01:10:11,160
Speaker 3: people and scandals.

1192
01:10:11,320 --> 01:10:13,800
Speaker 1: It's incredible. I've got it right in front of me.

1193
01:10:13,920 --> 01:10:16,760
Speaker 1: I read it yesterday, and I mean, you're absolutely right.

1194
01:10:16,880 --> 01:10:21,519
Speaker 1: You got realtor one, realtor two. What's the P stand for?

1195
01:10:21,720 --> 01:10:24,360
Speaker 2: Janis? There're p P two, P three and four.

1196
01:10:24,600 --> 01:10:29,600
Speaker 15: I think, Okay, okay, it's just yeah, it's again. I

1197
01:10:30,160 --> 01:10:33,000
Speaker 15: always default to this, but I can't help. But how

1198
01:10:33,600 --> 01:10:36,560
Speaker 15: in the hell could this be going on?

1199
01:10:37,200 --> 01:10:40,800
Speaker 1: And I mean, I think I've answered the question in

1200
01:10:40,920 --> 01:10:44,280
Speaker 1: my own mind as to why it's going on and

1201
01:10:44,479 --> 01:10:47,720
Speaker 1: why they got away with it. I think allegations of

1202
01:10:47,840 --> 01:10:50,760
Speaker 1: racism probably a big part of it. But how is

1203
01:10:50,840 --> 01:10:55,320
Speaker 1: it that no one independent caught this thing? Because it

1204
01:10:55,600 --> 01:11:00,519
Speaker 1: is it's beyond huge. It's almost like people are saying, hey,

1205
01:11:00,960 --> 01:11:02,720
Speaker 1: you know, I dare you, you know, come and try

1206
01:11:02,800 --> 01:11:03,240
Speaker 1: to catch me.

1207
01:11:03,320 --> 01:11:06,040
Speaker 2: It just I don't know. I can't wrap my mind

1208
01:11:06,120 --> 01:11:07,320
Speaker 2: around this. I really don't know.

1209
01:11:07,800 --> 01:11:10,519
Speaker 3: There are many many unanswered questions about all of this,

1210
01:11:11,040 --> 01:11:15,040
Speaker 3: especially the magnitude of this and now just on Thursday,

1211
01:11:15,240 --> 01:11:22,040
Speaker 3: at his press conference, the US Attorney first Assistant, a

1212
01:11:22,120 --> 01:11:24,640
Speaker 3: guy who's been at this for several years and as

1213
01:11:24,680 --> 01:11:26,519
Speaker 3: a Native Minnesotan.

1214
01:11:26,400 --> 01:11:27,599
Speaker 14: His name is Joe Thompson.

1215
01:11:28,400 --> 01:11:34,519
Speaker 3: He talks about how there are fourteen medicaid programs that

1216
01:11:34,680 --> 01:11:38,679
Speaker 3: have been put on hold because of risk for fraud.

1217
01:11:39,479 --> 01:11:43,400
Speaker 3: The payments are being held back until the audits can

1218
01:11:43,520 --> 01:11:46,920
Speaker 3: go okay, this is okay, we release this money. And

1219
01:11:47,960 --> 01:11:53,200
Speaker 3: those payments from dating back to twenty eighteen for just

1220
01:11:53,400 --> 01:12:00,200
Speaker 3: those fourteen programs total eighteen billions. Based on what he

1221
01:12:00,320 --> 01:12:04,920
Speaker 3: has seen, half of that or more, he can quote

1222
01:12:05,280 --> 01:12:10,360
Speaker 3: half or more of that eighteen billion could have been

1223
01:12:10,479 --> 01:12:13,639
Speaker 3: fraudulent billing based on everything that he has seen.

1224
01:12:14,080 --> 01:12:17,800
Speaker 2: Right, Yeah, And that's the headline for your story six News.

1225
01:12:20,600 --> 01:12:24,600
Speaker 3: Wait to hear that. It gets worse as it makes it.

1226
01:12:24,680 --> 01:12:29,679
Speaker 3: These are fourteen programs one adventure. A guest, how many

1227
01:12:29,800 --> 01:12:32,599
Speaker 3: medicaid programs Minnesota has total?

1228
01:12:32,920 --> 01:12:33,360
Speaker 2: How many?

1229
01:12:35,040 --> 01:12:36,400
Speaker 3: I'm pretty sure it's eighty.

1230
01:12:36,240 --> 01:12:38,800
Speaker 2: Seven eighty seven?

1231
01:12:38,880 --> 01:12:41,080
Speaker 3: Boy, the eighty seven eighty.

1232
01:12:40,880 --> 01:12:43,320
Speaker 2: Seven different ways to scam the taxpayers.

1233
01:12:44,280 --> 01:12:47,360
Speaker 3: And and see, this is one of the things that

1234
01:12:47,600 --> 01:12:53,880
Speaker 3: is kind of particular to Minnesota, and that is there

1235
01:12:54,080 --> 01:12:55,640
Speaker 3: is an attitude there and.

1236
01:12:55,920 --> 01:12:57,479
Speaker 14: It's been for a long time.

1237
01:12:57,760 --> 01:12:59,920
Speaker 3: It's just part of the Minnesota culture, is what I mean.

1238
01:13:00,160 --> 01:13:04,920
Speaker 3: Told that that people there want to help people there's

1239
01:13:05,000 --> 01:13:09,519
Speaker 3: this there's this friendliness but yet simultaneously not too warm

1240
01:13:10,040 --> 01:13:13,240
Speaker 3: kind of reception. There's a joke that goes around that

1241
01:13:13,320 --> 01:13:16,800
Speaker 3: says something like, a Minnesotan will give you directions to

1242
01:13:16,880 --> 01:13:18,639
Speaker 3: anywhere except his own front door.

1243
01:13:21,040 --> 01:13:22,720
Speaker 14: They want to help you, but only so far.

1244
01:13:23,320 --> 01:13:26,599
Speaker 3: And so the idea is that you know, they they

1245
01:13:26,720 --> 01:13:29,280
Speaker 3: try to ask, they try to help people, but they

1246
01:13:29,280 --> 01:13:30,640
Speaker 3: don't want to know why do you want to know this?

1247
01:13:31,080 --> 01:13:34,200
Speaker 3: They don't ask too many questions, nor do they volunteer

1248
01:13:34,320 --> 01:13:34,959
Speaker 3: much information.

1249
01:13:35,680 --> 01:13:37,280
Speaker 14: And so that is kind of a.

1250
01:13:37,439 --> 01:13:43,640
Speaker 3: Cultural Minnesota particular attitude, and I felt it when I

1251
01:13:43,800 --> 01:13:47,519
Speaker 3: was there as an Ohioan. I did notice there's a difference,

1252
01:13:47,560 --> 01:13:50,160
Speaker 3: and I've seen many I thought, am I imagining this?

1253
01:13:50,240 --> 01:13:52,320
Speaker 3: When I looked up columns written by people who are

1254
01:13:52,400 --> 01:13:55,639
Speaker 3: transplants there. I've talked to people who are transplants from

1255
01:13:55,720 --> 01:13:59,120
Speaker 3: other states there and they confirm, yes, Actually, it's kind

1256
01:13:59,120 --> 01:14:00,880
Speaker 3: of cool. It's called there's a term for it.

1257
01:14:00,920 --> 01:14:02,280
Speaker 14: They call it Minnesota nice.

1258
01:14:02,880 --> 01:14:03,760
Speaker 2: Minnesota nice.

1259
01:14:03,800 --> 01:14:06,080
Speaker 14: I'll help you, I want to help you.

1260
01:14:07,400 --> 01:14:09,080
Speaker 3: I welcome you, but then again, I'm not going to

1261
01:14:09,160 --> 01:14:10,639
Speaker 3: go too far with it. I'm not going to ask

1262
01:14:10,680 --> 01:14:12,960
Speaker 3: you too many questions. Or volunteery, much about myself, have

1263
01:14:13,040 --> 01:14:13,439
Speaker 3: a good day.

1264
01:14:14,400 --> 01:14:16,360
Speaker 2: Wow, Well you mentioned a new term.

1265
01:14:16,960 --> 01:14:20,000
Speaker 1: Here's another new term that I learned from reading your story,

1266
01:14:20,080 --> 01:14:24,000
Speaker 1: that specific story we're talking about, and that is so

1267
01:14:24,280 --> 01:14:28,200
Speaker 1: called fraud tourism. You right that it's a new phenomenon

1268
01:14:28,439 --> 01:14:32,400
Speaker 1: among the Minnesota fraud cases, although prosecutors have heard it,

1269
01:14:32,840 --> 01:14:34,200
Speaker 1: heard of it occurring elsewhere.

1270
01:14:34,640 --> 01:14:38,560
Speaker 2: Fraud tourism. Can you tell my listeners what that is?

1271
01:14:40,280 --> 01:14:40,439
Speaker 5: Oh?

1272
01:14:40,520 --> 01:14:46,040
Speaker 3: Yeah, So there were at least two defendants coming from

1273
01:14:46,320 --> 01:14:50,280
Speaker 3: a distant state, in this case Pennsylvania. They would repeatedly

1274
01:14:50,400 --> 01:14:55,280
Speaker 3: fly from Philadelphia to Minnesota. They set up LLCs there

1275
01:14:55,360 --> 01:14:58,840
Speaker 3: and they had zero connections to anybody there. They didn't

1276
01:14:58,880 --> 01:15:00,960
Speaker 3: come for the other things draw a lot of people

1277
01:15:01,160 --> 01:15:04,320
Speaker 3: for tourism reasons, like the scenery. Minnesota is called the

1278
01:15:04,600 --> 01:15:06,720
Speaker 3: Land of ten Thousand Lakes, and a lot of people

1279
01:15:06,880 --> 01:15:09,160
Speaker 3: love the scenery there. And I can tell you there

1280
01:15:09,200 --> 01:15:11,040
Speaker 3: are parts of it that I think are quite beautiful.

1281
01:15:11,560 --> 01:15:14,640
Speaker 3: Uh and uh, So they don't come to that. They

1282
01:15:14,720 --> 01:15:18,920
Speaker 3: come literally because they heard it with easy pickens in Minnesota,

1283
01:15:19,520 --> 01:15:23,320
Speaker 3: you can get rich quick with these government programs, and.

1284
01:15:23,800 --> 01:15:27,400
Speaker 1: Boy they sure have. Again reading your stories and other stories,

1285
01:15:27,800 --> 01:15:29,760
Speaker 1: you know one of them. I think this was one

1286
01:15:29,800 --> 01:15:34,400
Speaker 1: of your stories that one of the guys they alleged fraudsters.

1287
01:15:35,080 --> 01:15:38,160
Speaker 1: I think it was in the in the the autism

1288
01:15:38,280 --> 01:15:42,160
Speaker 1: program went out with the proceeds and bought a Mac truck,

1289
01:15:42,439 --> 01:15:45,280
Speaker 1: which I'm assuming is a semi Is that accurate?

1290
01:15:45,320 --> 01:15:46,519
Speaker 2: Am I remembering that right?

1291
01:15:47,560 --> 01:15:49,439
Speaker 3: Uh? Yeah, I think it was a streight Liner to

1292
01:15:49,520 --> 01:15:53,800
Speaker 3: be specific. But that's my recollection. I didn't personally write

1293
01:15:53,840 --> 01:15:57,280
Speaker 3: that one, but yeah, actually one. That's another one of

1294
01:15:57,360 --> 01:16:00,280
Speaker 3: the many follow ups I'm working on I have. It

1295
01:16:00,360 --> 01:16:03,280
Speaker 3: took me a little bit of digging to prolose some

1296
01:16:03,479 --> 01:16:08,200
Speaker 3: court exhibits that show some of the vehicles, properties checks

1297
01:16:08,280 --> 01:16:13,280
Speaker 3: that are involved with how these people involved with these podcases?

1298
01:16:13,280 --> 01:16:16,240
Speaker 3: Where did the money go? And do the taxpayers have

1299
01:16:16,520 --> 01:16:19,240
Speaker 3: any prayer of getting it back? And if they do,

1300
01:16:19,439 --> 01:16:21,320
Speaker 3: it's probably is going to be years because you know

1301
01:16:21,400 --> 01:16:25,360
Speaker 3: how this Mike as a prosecutor, that forfeiture process isn't

1302
01:16:25,479 --> 01:16:26,559
Speaker 3: a flick the switch and.

1303
01:16:26,600 --> 01:16:27,160
Speaker 14: Get it done.

1304
01:16:27,360 --> 01:16:29,880
Speaker 1: No, it's you're right, and hell, there's got to be

1305
01:16:30,000 --> 01:16:32,760
Speaker 1: money there to get too, and it sure seems like

1306
01:16:32,880 --> 01:16:34,439
Speaker 1: they're bleeding it till dry.

1307
01:16:34,640 --> 01:16:37,599
Speaker 2: I mean, let me ask you this question, I'm trying

1308
01:16:37,600 --> 01:16:38,599
Speaker 2: to go ahead, go ahead.

1309
01:16:39,520 --> 01:16:42,200
Speaker 3: I was gonna say, well, there's nothing to be there's

1310
01:16:42,240 --> 01:16:45,439
Speaker 3: no money left if you're going out and using it

1311
01:16:45,560 --> 01:16:49,600
Speaker 3: to fly for international travel and fancy meals.

1312
01:16:49,360 --> 01:16:50,960
Speaker 14: And other things like that.

1313
01:16:51,520 --> 01:16:52,720
Speaker 2: Homes in the Maldives.

1314
01:16:52,800 --> 01:16:56,080
Speaker 14: I guess, right, well, you might be able to get

1315
01:16:56,080 --> 01:16:57,000
Speaker 14: a hold of some of that, but it once't.

1316
01:16:57,000 --> 01:16:59,519
Speaker 3: Again, it further complicated when we are foreign properties.

1317
01:16:59,640 --> 01:17:01,840
Speaker 2: Yeah, it's just there's so many I guess, so many

1318
01:17:01,960 --> 01:17:02,840
Speaker 2: circles on this thing.

1319
01:17:02,920 --> 01:17:05,400
Speaker 1: But I know you don't do politics, and I don't

1320
01:17:05,439 --> 01:17:07,920
Speaker 1: want you to, but I guess I've read this thing,

1321
01:17:08,000 --> 01:17:10,800
Speaker 1: and I see Tim Waltz, and I think, how in

1322
01:17:10,960 --> 01:17:14,839
Speaker 1: God's name did that guy not know about it? I'm

1323
01:17:14,960 --> 01:17:17,679
Speaker 1: just assuming that he did. I'm ninety five percent certain.

1324
01:17:18,160 --> 01:17:21,360
Speaker 1: And number two, why in the heck didn't he do

1325
01:17:21,520 --> 01:17:24,240
Speaker 1: something about it? And I think I know that one too.

1326
01:17:24,400 --> 01:17:28,360
Speaker 1: He was worried about the big R word. I mean,

1327
01:17:28,880 --> 01:17:31,280
Speaker 1: do you think this guy's going to survive? He's up

1328
01:17:31,400 --> 01:17:34,280
Speaker 1: for apparently they're not term limits for governor in that state,

1329
01:17:34,360 --> 01:17:38,280
Speaker 1: but he's up for up for election. You know, is

1330
01:17:38,520 --> 01:17:42,120
Speaker 1: are you hearing anything that he might say that I'm

1331
01:17:42,200 --> 01:17:46,400
Speaker 1: not going to run because that woman that you mentioned

1332
01:17:46,880 --> 01:17:50,759
Speaker 1: who put together that chart, she's running against him, ezactly.

1333
01:17:50,840 --> 01:17:53,680
Speaker 2: She's a Republican state bread. Yeah, I guess the question is,

1334
01:17:53,920 --> 01:17:54,599
Speaker 2: is this dude good?

1335
01:17:54,640 --> 01:17:55,920
Speaker 3: There's a number of challengers.

1336
01:17:56,120 --> 01:17:56,360
Speaker 9: Yeah.

1337
01:17:57,640 --> 01:18:03,840
Speaker 3: So here is what I will say, based on what

1338
01:18:04,000 --> 01:18:08,840
Speaker 3: I've read people have talked to, I hear that the

1339
01:18:09,160 --> 01:18:11,679
Speaker 3: tide does seem to be kind of starting to turn

1340
01:18:11,760 --> 01:18:15,920
Speaker 3: against him, but he still has some very staunch supporters

1341
01:18:16,720 --> 01:18:21,479
Speaker 3: and I have seen some pulling that however, talks about

1342
01:18:22,640 --> 01:18:27,040
Speaker 3: like something like fifty seven percent of the people disapprove

1343
01:18:27,120 --> 01:18:29,600
Speaker 3: of his handling of fraud. There are a number of

1344
01:18:29,640 --> 01:18:31,559
Speaker 3: people I've talked to who thought that number was really

1345
01:18:31,680 --> 01:18:36,840
Speaker 3: low considering the level of outrage that they're detecting there.

1346
01:18:37,520 --> 01:18:40,599
Speaker 3: And the questions that you raise are the very same

1347
01:18:40,720 --> 01:18:44,960
Speaker 3: questions that a lot of people are raising, including the

1348
01:18:45,080 --> 01:18:49,800
Speaker 3: House Oversight Committee, right, And that's James Cummer's committee, And

1349
01:18:50,520 --> 01:18:54,000
Speaker 3: he had given until like the seventeenth CYS now passed

1350
01:18:54,640 --> 01:18:59,520
Speaker 3: for Governor Walt and for the age Attorney General of Minnesota.

1351
01:18:59,640 --> 01:19:03,680
Speaker 3: Keith listened to provide a bunch of documents to to

1352
01:19:04,280 --> 01:19:10,160
Speaker 3: to show whether whistleblowers allegations that they turned a blind

1353
01:19:10,200 --> 01:19:13,360
Speaker 3: eye to it after the whistleblowers tried to raise it.

1354
01:19:14,000 --> 01:19:16,920
Speaker 3: I've really been trying hard to find any whistleblowers who

1355
01:19:16,920 --> 01:19:19,680
Speaker 3: will talk to me. But I have spoken to legislators

1356
01:19:19,920 --> 01:19:23,240
Speaker 3: who speak to these people, and they're telling me that

1357
01:19:23,439 --> 01:19:26,680
Speaker 3: these people have represented that they were actually disciplined.

1358
01:19:27,560 --> 01:19:27,680
Speaker 1: Uh.

1359
01:19:28,080 --> 01:19:31,559
Speaker 14: They some of them claimed they were surveiled after.

1360
01:19:31,439 --> 01:19:35,600
Speaker 3: They tried to raise the issues of fraud and and

1361
01:19:35,720 --> 01:19:40,440
Speaker 3: there were and then there were less coercive ways allegedly

1362
01:19:40,600 --> 01:19:44,280
Speaker 3: used to silence them, including just saying, oh, we don't

1363
01:19:44,320 --> 01:19:47,000
Speaker 3: want to be you know, viewed as racist or home

1364
01:19:47,360 --> 01:19:52,680
Speaker 3: uh or islama folbic right, and so probably when it

1365
01:19:52,840 --> 01:19:56,560
Speaker 3: raised us about the Somalis. Now an interesting I just

1366
01:19:56,680 --> 01:19:59,479
Speaker 3: turned in a very long free coal story.

1367
01:20:00,040 --> 01:20:02,400
Speaker 2: I'm sorry, just interrupt you for a minute. Can you

1368
01:20:02,520 --> 01:20:03,040
Speaker 2: hold over.

1369
01:20:03,479 --> 01:20:06,080
Speaker 1: We're bumping up against the news just for about half

1370
01:20:06,120 --> 01:20:08,080
Speaker 1: a segment, and I want to talk to you about.

1371
01:20:07,840 --> 01:20:10,719
Speaker 2: What you were just talking about. I really appreciate it. Okay,

1372
01:20:10,840 --> 01:20:11,120
Speaker 2: thank you.

1373
01:20:11,560 --> 01:20:13,000
Speaker 1: All right, Hey, we got to take a break for

1374
01:20:13,080 --> 01:20:14,840
Speaker 1: the news, but when we get back, we're going to

1375
01:20:14,960 --> 01:20:18,559
Speaker 1: continue our talk with Janis Heisel of the Epoch Times.

1376
01:20:18,920 --> 01:20:20,800
Speaker 2: Mike Allen Saturday midday.

1377
01:20:25,800 --> 01:20:29,280
Speaker 1: Eleven thirty nine, News Radio seven hundred WW Mike Allen,

1378
01:20:29,360 --> 01:20:32,760
Speaker 1: Saturday Midday. Hey, we were talking and we are going

1379
01:20:32,840 --> 01:20:35,840
Speaker 1: to talk again to Janis, Heisel's senior reporter for the

1380
01:20:36,360 --> 01:20:40,080
Speaker 1: Epoch Times. On this Minnesota deal. It's just got so

1381
01:20:40,240 --> 01:20:43,040
Speaker 1: many tentacles. There's no way you're going to cover any

1382
01:20:43,120 --> 01:20:46,880
Speaker 1: of it in twenty minutes, much less forty. But Janis

1383
01:20:46,880 --> 01:20:49,519
Speaker 1: has given us as much as we can get. Janis,

1384
01:20:49,560 --> 01:20:51,800
Speaker 1: thanks for hanging in there for us. I cut you

1385
01:20:51,880 --> 01:20:54,840
Speaker 1: off pretty much mid sentence last time. If you wanted

1386
01:20:54,920 --> 01:20:58,080
Speaker 1: to continue, yeah, I.

1387
01:20:58,080 --> 01:21:01,400
Speaker 3: Would just explaining that I have really been trying to

1388
01:21:01,560 --> 01:21:07,000
Speaker 3: delve into the kind of culture like why Minnesota.

1389
01:21:07,200 --> 01:21:09,040
Speaker 14: You know, that was a big question I've had from

1390
01:21:09,080 --> 01:21:12,200
Speaker 14: the beginning. You know, yes, it is happening other places,

1391
01:21:12,280 --> 01:21:12,479
Speaker 14: but this.

1392
01:21:12,600 --> 01:21:18,240
Speaker 16: Prosecutor says, and it does seem to be supported that

1393
01:21:19,640 --> 01:21:23,520
Speaker 16: the scale of it is unusual.

1394
01:21:24,400 --> 01:21:26,320
Speaker 3: I do think there are some states where it may

1395
01:21:26,360 --> 01:21:28,439
Speaker 3: even be larger, and I'm still looking into some of

1396
01:21:28,600 --> 01:21:31,680
Speaker 3: that and planning a story about that. I think one

1397
01:21:31,720 --> 01:21:34,599
Speaker 3: of them is actually California, the other maybe New York.

1398
01:21:35,840 --> 01:21:37,679
Speaker 14: So that's something else I'm looking into.

1399
01:21:37,760 --> 01:21:41,920
Speaker 3: Really, So something else I wanted to point out along

1400
01:21:41,960 --> 01:21:45,200
Speaker 3: with the quote unquote Minnesota knife, what goes along with

1401
01:21:45,320 --> 01:21:47,400
Speaker 3: that is Minnesota progressivism.

1402
01:21:47,640 --> 01:21:48,120
Speaker 2: Oh yeah.

1403
01:21:48,600 --> 01:21:52,280
Speaker 3: And I talked to people who did not want I tried,

1404
01:21:52,840 --> 01:21:56,680
Speaker 3: people insisted on mostly speaking to me, Hey, I'm going

1405
01:21:56,720 --> 01:21:58,879
Speaker 3: to go by my first name only. And for example,

1406
01:21:59,520 --> 01:22:02,800
Speaker 3: and told me that he has lived in Minnesota for

1407
01:22:02,920 --> 01:22:10,240
Speaker 3: decades and he has seen where that attitude of Minnesota

1408
01:22:10,240 --> 01:22:12,040
Speaker 3: and ice we help people, but we don't ask so

1409
01:22:12,040 --> 01:22:17,360
Speaker 3: many questions. But along with that there is the progressive

1410
01:22:17,800 --> 01:22:22,320
Speaker 3: attitude of let's add more program and spend more money.

1411
01:22:22,600 --> 01:22:25,000
Speaker 3: And by the way, if you're taxed as a result,

1412
01:22:25,760 --> 01:22:29,200
Speaker 3: too bad, because you're helping these people who need it.

1413
01:22:29,800 --> 01:22:32,960
Speaker 3: An interesting example I observed while I live in Minnesota,

1414
01:22:33,800 --> 01:22:37,480
Speaker 3: the Minneapolis Council approved a measure that would have required

1415
01:22:37,560 --> 01:22:44,240
Speaker 3: them to the city to install Portajohn's sanitation stations provide

1416
01:22:44,320 --> 01:22:47,920
Speaker 3: medical care for any homeless encampment has more than twenty people.

1417
01:22:48,760 --> 01:22:50,720
Speaker 3: And I didn't dig into that one deeply that I

1418
01:22:50,800 --> 01:22:52,240
Speaker 3: kept going, well, where's the money.

1419
01:22:52,040 --> 01:22:52,720
Speaker 2: Coming from for this?

1420
01:22:52,880 --> 01:22:53,120
Speaker 3: Okay?

1421
01:22:53,800 --> 01:22:56,759
Speaker 14: And so the mayor, interestingly, though he's.

1422
01:22:56,640 --> 01:22:59,320
Speaker 3: Also a Democrat, there's a lot of people in control

1423
01:22:59,439 --> 01:23:03,679
Speaker 3: with the Democrat party. There the mayor of Minneapolis actually

1424
01:23:03,720 --> 01:23:07,080
Speaker 3: vetoed that, so we'll see if it if he's able

1425
01:23:07,160 --> 01:23:08,959
Speaker 3: to secure a veto proof.

1426
01:23:10,240 --> 01:23:10,880
Speaker 14: Majority on that.

1427
01:23:11,000 --> 01:23:12,360
Speaker 3: He doesn't have it on the council, but he was

1428
01:23:12,400 --> 01:23:15,640
Speaker 3: able to. They're able to override in the veto or not,

1429
01:23:16,760 --> 01:23:17,839
Speaker 3: so we'll see what happened.

1430
01:23:17,960 --> 01:23:20,479
Speaker 1: You know, I mean, I get being progressive, I get

1431
01:23:20,640 --> 01:23:23,840
Speaker 1: being wanting to help people, but my goodness, I mean,

1432
01:23:24,080 --> 01:23:27,960
Speaker 1: I would assume that these aren't stupid people, and if

1433
01:23:28,240 --> 01:23:30,839
Speaker 1: the money that they want to use for good causes

1434
01:23:31,000 --> 01:23:34,839
Speaker 1: is being frankly stolen, you think that would get their attention,

1435
01:23:35,000 --> 01:23:35,840
Speaker 1: but apparently not.

1436
01:23:36,240 --> 01:23:38,360
Speaker 2: Hey, I wanted to ask you. I'm sorry, go ahead you.

1437
01:23:38,720 --> 01:23:41,920
Speaker 3: I interviewed a man who told me about some of them.

1438
01:23:42,240 --> 01:23:44,680
Speaker 3: I'm trying to drill down as much as I can

1439
01:23:45,439 --> 01:23:48,760
Speaker 3: without making it tedious the cost to real people. And

1440
01:23:48,920 --> 01:23:51,519
Speaker 3: one man told me, for example, that he's a father

1441
01:23:51,600 --> 01:23:55,280
Speaker 3: of three and his property packs went up in one

1442
01:23:55,400 --> 01:24:01,000
Speaker 3: year thirteen percent as a result, he percent in one year.

1443
01:24:02,160 --> 01:24:03,840
Speaker 3: How would we feel here in Ohio.

1444
01:24:03,800 --> 01:24:05,880
Speaker 2: We had that going on, you'd have a riot, is

1445
01:24:05,920 --> 01:24:06,880
Speaker 2: what you'd have, you know.

1446
01:24:07,680 --> 01:24:10,280
Speaker 3: And he's not able to buy as many gifts for

1447
01:24:10,640 --> 01:24:13,880
Speaker 3: his children for Christmas. Now, is he is the family

1448
01:24:14,000 --> 01:24:15,360
Speaker 3: starving though it doesn't sound.

1449
01:24:15,240 --> 01:24:17,360
Speaker 14: Like it, And is that a big deal, you know,

1450
01:24:17,760 --> 01:24:18,679
Speaker 14: in the grand sum of things.

1451
01:24:18,760 --> 01:24:21,000
Speaker 3: Maybe not. However, if you look at the fact that

1452
01:24:21,120 --> 01:24:23,519
Speaker 3: this is a hard working person who wants to buy

1453
01:24:23,520 --> 01:24:26,559
Speaker 3: stuff for his kids, and now because he has being

1454
01:24:26,640 --> 01:24:30,720
Speaker 3: forced to pay for what has now been identified as

1455
01:24:30,960 --> 01:24:34,400
Speaker 3: a very large raft of fraudulent a program that's just

1456
01:24:34,520 --> 01:24:37,519
Speaker 3: soaked in fraud, and because of that, that's the reason

1457
01:24:37,600 --> 01:24:39,200
Speaker 3: he can't buy more stuff for his kids.

1458
01:24:40,800 --> 01:24:43,400
Speaker 1: You know what, that's the bottom line. I mean, that's

1459
01:24:43,520 --> 01:24:46,920
Speaker 1: how it's got to hit people in that state. And

1460
01:24:47,040 --> 01:24:49,920
Speaker 1: you know, I don't care how liberal you are. At

1461
01:24:50,040 --> 01:24:53,720
Speaker 1: some point it's like, come on, you know, I have

1462
01:24:53,920 --> 01:24:59,120
Speaker 1: these these very well intentioned wishes, but it's not happening

1463
01:24:59,200 --> 01:25:02,680
Speaker 1: because people are buying you know, islands in the Maldives

1464
01:25:02,760 --> 01:25:06,560
Speaker 1: and semi tractor trailers, jewelry vacations.

1465
01:25:07,000 --> 01:25:07,600
Speaker 2: It's just it.

1466
01:25:08,479 --> 01:25:10,960
Speaker 1: You know what. You can be progressive, you can be

1467
01:25:11,080 --> 01:25:13,639
Speaker 1: a liberal, you can be somebody that wants to help somebody,

1468
01:25:13,680 --> 01:25:16,040
Speaker 1: but you also have to be a person with some

1469
01:25:16,200 --> 01:25:19,400
Speaker 1: common sense, you would think. But I wanted to ask

1470
01:25:19,400 --> 01:25:21,559
Speaker 1: you again. We talked a little bit about this person

1471
01:25:21,720 --> 01:25:25,200
Speaker 1: number one. If you look at this thing here, it

1472
01:25:25,400 --> 01:25:29,240
Speaker 1: just it amazes me from your story of I think

1473
01:25:29,320 --> 01:25:33,759
Speaker 1: this one was the yeah, the eighteenth Thursday, okay, talking

1474
01:25:33,800 --> 01:25:37,599
Speaker 1: about the assisted living facilities, one of the assisted living

1475
01:25:37,680 --> 01:25:41,320
Speaker 1: facilities that Person one administers has four bets.

1476
01:25:41,640 --> 01:25:41,960
Speaker 2: Okay.

1477
01:25:42,360 --> 01:25:47,799
Speaker 1: Despite this limited capacity, the facility was paid eight hundred

1478
01:25:47,920 --> 01:25:53,200
Speaker 1: and twenty six thousand dollars in twenty twenty four and

1479
01:25:53,800 --> 01:25:57,000
Speaker 1: was on pace to double that. That comes from that

1480
01:25:57,760 --> 01:26:00,519
Speaker 1: young woman you're saying, who's going to run again Walls.

1481
01:26:00,840 --> 01:26:04,840
Speaker 1: I mean, it's just astounding how that would not raise

1482
01:26:05,000 --> 01:26:09,040
Speaker 1: any suspicion, which would have had to, but just no

1483
01:26:09,240 --> 01:26:09,720
Speaker 1: follow up.

1484
01:26:09,800 --> 01:26:11,599
Speaker 2: It's just so hard to believe. Janis.

1485
01:26:13,560 --> 01:26:17,360
Speaker 3: Yeah, I've got to tell you, some of these numbers

1486
01:26:17,840 --> 01:26:19,519
Speaker 3: just make my eyes pop out of my head just

1487
01:26:20,200 --> 01:26:22,080
Speaker 3: thinking about, Hey, what would I do with eight hund

1488
01:26:22,160 --> 01:26:22,719
Speaker 3: grant right.

1489
01:26:24,360 --> 01:26:24,599
Speaker 2: By?

1490
01:26:24,800 --> 01:26:28,880
Speaker 3: That might be nice Mary Christmas, but you know, it's

1491
01:26:29,479 --> 01:26:32,080
Speaker 3: it's a different mindset. And that's another factor here is

1492
01:26:32,160 --> 01:26:35,880
Speaker 3: that I did reach a prosecutor, former prosecutor who worked

1493
01:26:35,920 --> 01:26:38,640
Speaker 3: on some of these some early front cases, and he

1494
01:26:38,840 --> 01:26:42,200
Speaker 3: I asked him, why is it that there we've kind

1495
01:26:42,240 --> 01:26:44,680
Speaker 3: of touched on this before Mike. But this kind of

1496
01:26:44,760 --> 01:26:46,560
Speaker 3: more confirms, it can give a little more meat to

1497
01:26:46,840 --> 01:26:49,000
Speaker 3: the belief that when people.

1498
01:26:48,880 --> 01:26:52,839
Speaker 14: Come from a culture that does kind of have a lot.

1499
01:26:52,720 --> 01:26:55,120
Speaker 3: Of corruption in it, Yeah, that's going to affect how

1500
01:26:55,160 --> 01:26:55,920
Speaker 3: you behave.

1501
01:26:55,720 --> 01:26:57,320
Speaker 14: If you come to a different country.

1502
01:26:57,800 --> 01:27:01,160
Speaker 3: And he told me that he does believe that that

1503
01:27:01,720 --> 01:27:06,280
Speaker 3: that that there is a prevailing attitude among Somali's that

1504
01:27:07,080 --> 01:27:10,439
Speaker 3: if you are not if there's if the government is

1505
01:27:10,520 --> 01:27:13,760
Speaker 3: offering easy money, you are dumb if you don't go

1506
01:27:13,960 --> 01:27:14,200
Speaker 3: for it.

1507
01:27:15,200 --> 01:27:17,120
Speaker 1: Yeah, you know what, it's got to be something like that,

1508
01:27:17,320 --> 01:27:20,000
Speaker 1: because well, I think you correct me if I'm wrong.

1509
01:27:20,120 --> 01:27:24,400
Speaker 1: I think it was your reporting ninety two percent or

1510
01:27:24,439 --> 01:27:29,000
Speaker 1: something like that of the defendants criminal defendants are Somali?

1511
01:27:29,960 --> 01:27:32,120
Speaker 2: Was that your reporting? And if it is, is it?

1512
01:27:32,400 --> 01:27:32,760
Speaker 1: I did not.

1513
01:27:33,000 --> 01:27:37,400
Speaker 3: Report that specistically, but he that prosecutors has shared with

1514
01:27:37,479 --> 01:27:39,960
Speaker 3: me numbers along those lines. I didn't go through and

1515
01:27:40,040 --> 01:27:42,560
Speaker 3: count because there's just so many. And this is the

1516
01:27:42,680 --> 01:27:45,120
Speaker 3: other thing to keep in mind. So again, what is

1517
01:27:45,200 --> 01:27:46,160
Speaker 3: unique about Minnesota.

1518
01:27:46,400 --> 01:27:47,720
Speaker 14: You know, I'm trying to drill out of that.

1519
01:27:48,280 --> 01:27:50,680
Speaker 3: And not only does that this large population where you've

1520
01:27:50,680 --> 01:27:53,840
Speaker 3: got this attitude, but you also have allegedly but you

1521
01:27:53,920 --> 01:28:01,120
Speaker 3: also have a sort of like the lack of questioning,

1522
01:28:01,600 --> 01:28:05,000
Speaker 3: so you have lax requirements for the programs, not much

1523
01:28:05,080 --> 01:28:09,040
Speaker 3: follow up, and then the fear of the Islamophobia. There's

1524
01:28:09,040 --> 01:28:11,400
Speaker 3: a lot of that going on here. There's many manufactors

1525
01:28:11,760 --> 01:28:14,639
Speaker 3: that are kind of Minnesota specific and as a result,

1526
01:28:15,200 --> 01:28:18,439
Speaker 3: there's also a unique feature, according to the prosecutor Joe

1527
01:28:18,560 --> 01:28:22,200
Speaker 3: Thompson about the Minnesota flog cases that I'd like to emphasize,

1528
01:28:22,280 --> 01:28:29,759
Speaker 3: and that is, while the typical medicaid fraudster company over bills,

1529
01:28:29,920 --> 01:28:34,080
Speaker 3: like they'll take somebody on a ride, for example, and

1530
01:28:34,160 --> 01:28:37,320
Speaker 3: they say that they've taken them pretend rides, so they're

1531
01:28:37,400 --> 01:28:40,360
Speaker 3: just over billing. Or maybe they changed the code from

1532
01:28:40,439 --> 01:28:43,439
Speaker 3: some service to something more expensive, like they didn't really

1533
01:28:43,520 --> 01:28:47,679
Speaker 3: provide service X they but they service X is more expensive.

1534
01:28:47,720 --> 01:28:51,000
Speaker 3: There's service lives, so they got more money fraudulently. So

1535
01:28:51,120 --> 01:28:54,160
Speaker 3: that's usually what the fraud looks like. But in this case,

1536
01:28:55,200 --> 01:28:59,240
Speaker 3: there are companies that provide zero services, shell companies for

1537
01:28:59,680 --> 01:29:03,360
Speaker 3: pure for the purpose of just frauding the government, according

1538
01:29:03,400 --> 01:29:05,559
Speaker 3: to the prosecutor, and that he says he.

1539
01:29:05,640 --> 01:29:07,760
Speaker 14: Believed is unique to Minnesota.

1540
01:29:08,360 --> 01:29:10,639
Speaker 1: It's just it's unbelievable I don't know how many times

1541
01:29:10,680 --> 01:29:13,280
Speaker 1: I've said that. I probably ought to find another word,

1542
01:29:13,400 --> 01:29:16,160
Speaker 1: but I wanted to ask you too, great story, I believe,

1543
01:29:16,320 --> 01:29:20,920
Speaker 1: I believe this one was maybe Wednesday about the overturned

1544
01:29:21,080 --> 01:29:25,600
Speaker 1: fraud verdict, the jury verdict, criminal case, jury verdict on

1545
01:29:25,760 --> 01:29:27,800
Speaker 1: some of this stuff. And you and I both know

1546
01:29:27,960 --> 01:29:30,800
Speaker 1: you've covered the courts. I was a prosecutor. That a

1547
01:29:30,920 --> 01:29:35,800
Speaker 1: judge overturning a jury verdict is extremely rare. I mean,

1548
01:29:36,000 --> 01:29:38,040
Speaker 1: I think I've only even heard of it in Hamill

1549
01:29:38,120 --> 01:29:41,200
Speaker 1: County two or three times. What is the deal with

1550
01:29:41,320 --> 01:29:44,760
Speaker 1: that with Judge Sarah West? And do you know what

1551
01:29:45,000 --> 01:29:47,760
Speaker 1: her politics are or have any reason to believe that

1552
01:29:48,439 --> 01:29:53,640
Speaker 1: her overturning of what twelve people decided is politically motivated?

1553
01:29:55,560 --> 01:29:58,519
Speaker 3: Well, Mike, just like here in Ohio, where judge ships

1554
01:29:58,520 --> 01:30:01,720
Speaker 3: are theoretically not political, we all know that's pretty much

1555
01:30:02,160 --> 01:30:04,320
Speaker 3: all of these people in office, even if they're a

1556
01:30:04,439 --> 01:30:07,160
Speaker 3: quote unquote non part of the position, do have these

1557
01:30:07,200 --> 01:30:09,920
Speaker 3: political connections. So with that said, it's my understanding that

1558
01:30:10,000 --> 01:30:13,920
Speaker 3: she is Democrat aligned. However, it's interesting because the Republican

1559
01:30:14,040 --> 01:30:17,360
Speaker 3: lawmaker whose efforts I featured, he wants to really dig

1560
01:30:17,479 --> 01:30:20,640
Speaker 3: into that particular case to try to get what he

1561
01:30:20,760 --> 01:30:24,640
Speaker 3: calls a roadmap to fraud, Like, what are how do

1562
01:30:24,720 --> 01:30:29,559
Speaker 3: you go from zero dollars of fraud all the way

1563
01:30:29,640 --> 01:30:31,640
Speaker 3: up to seven point two million, which is what this

1564
01:30:31,800 --> 01:30:32,640
Speaker 3: guy allegedly did.

1565
01:30:32,680 --> 01:30:34,240
Speaker 14: They called it the seven point.

1566
01:30:34,080 --> 01:30:37,559
Speaker 3: Two million dollar mailbox because he didn't even have an

1567
01:30:37,600 --> 01:30:38,200
Speaker 3: office space.

1568
01:30:38,680 --> 01:30:41,640
Speaker 14: He was running a quote healthcare agency.

1569
01:30:41,560 --> 01:30:42,360
Speaker 13: From a mailbox.

1570
01:30:43,800 --> 01:30:44,120
Speaker 4: Wow.

1571
01:30:44,520 --> 01:30:48,960
Speaker 3: And now I did not read the trial's transcredo. You know,

1572
01:30:49,360 --> 01:30:52,719
Speaker 3: I wouldn't even venture to say anything about the actual evidence. However,

1573
01:30:53,280 --> 01:30:56,679
Speaker 3: the lawmaker I interviewed said, at first he thought maybe

1574
01:30:56,760 --> 01:30:59,840
Speaker 3: that the judges politics had something to do with the

1575
01:31:00,439 --> 01:31:03,720
Speaker 3: decisions she made here that was very recontroversial because it

1576
01:31:03,800 --> 01:31:07,320
Speaker 3: broke around the same time all the attention starts exploding

1577
01:31:07,400 --> 01:31:11,080
Speaker 3: over this in Minnesota because of the emerging scandals and

1578
01:31:11,160 --> 01:31:15,120
Speaker 3: because of new allegations about the terrorism funding. All of

1579
01:31:15,200 --> 01:31:17,000
Speaker 3: that was breaking at the same time. And then, oh,

1580
01:31:17,040 --> 01:31:19,519
Speaker 3: by the way, this judge makes this decision, well, he

1581
01:31:19,720 --> 01:31:22,719
Speaker 3: now says, it actually raises a lot of questions about

1582
01:31:22,760 --> 01:31:26,879
Speaker 3: the how solid was the prosecutor's case. Because the biggest

1583
01:31:27,040 --> 01:31:31,400
Speaker 3: concern that the judge raised in her fifty five page decision,

1584
01:31:31,439 --> 01:31:36,760
Speaker 3: which I did read. She says, the prosecutors never made

1585
01:31:36,800 --> 01:31:41,720
Speaker 3: the link between Okay, this man owns the company.

1586
01:31:42,080 --> 01:31:45,240
Speaker 14: And here were there's evidence that he got all this money,

1587
01:31:46,200 --> 01:31:46,839
Speaker 14: but did.

1588
01:31:46,720 --> 01:31:49,719
Speaker 3: He cause the fraudulent billing?

1589
01:31:50,280 --> 01:31:53,160
Speaker 14: His brother was actually running the company?

1590
01:31:53,680 --> 01:31:58,120
Speaker 3: Gotcha, and the brother, to my knowledge, has never been charged.

1591
01:31:58,720 --> 01:32:00,800
Speaker 14: I've been trying to do some smith being around.

1592
01:32:00,640 --> 01:32:01,240
Speaker 9: On why not.

1593
01:32:02,760 --> 01:32:06,720
Speaker 3: I have heard, you know, somebody appined to me that

1594
01:32:06,800 --> 01:32:07,920
Speaker 3: they just couldn't find him.

1595
01:32:09,760 --> 01:32:11,000
Speaker 14: May have left the country, he knows.

1596
01:32:12,200 --> 01:32:15,840
Speaker 3: But that is so Again this lawmaker is saying, well,

1597
01:32:15,880 --> 01:32:19,400
Speaker 3: you know, he's looking at all the transactions and trying.

1598
01:32:19,600 --> 01:32:24,240
Speaker 3: There's forty four thousand transactions in this case. Think about that. Wow,

1599
01:32:24,280 --> 01:32:28,800
Speaker 3: the volume of documents that these prosecutors Haley and I

1600
01:32:28,840 --> 01:32:29,120
Speaker 3: don't know.

1601
01:32:29,439 --> 01:32:31,880
Speaker 14: He didn't say how many prosecutors you have, But Joe Thompson,

1602
01:32:31,960 --> 01:32:35,000
Speaker 14: the prosecutor there in Minnesota, says he has a small staff.

1603
01:32:35,040 --> 01:32:36,520
Speaker 3: I don't know, it's small means.

1604
01:32:36,800 --> 01:32:36,880
Speaker 1: But.

1605
01:32:38,439 --> 01:32:41,479
Speaker 3: You wouldn't need like it looks like a prosecutorial army. Yeah,

1606
01:32:41,800 --> 01:32:44,560
Speaker 3: it would soon if that's like one case. Now that

1607
01:32:44,720 --> 01:32:47,559
Speaker 3: was actually a state case, it wasn't the federal case.

1608
01:32:47,560 --> 01:32:50,560
Speaker 3: So you got to remember that this federal is a

1609
01:32:50,600 --> 01:32:54,280
Speaker 3: whole different ball of wax than this state case is overturned.

1610
01:32:55,320 --> 01:32:59,240
Speaker 3: So it's raising questions that about the state Attorney General's

1611
01:32:59,400 --> 01:33:03,080
Speaker 3: office handling of and preparation.

1612
01:33:02,920 --> 01:33:04,800
Speaker 2: Of the evidence in that case.

1613
01:33:05,360 --> 01:33:09,479
Speaker 1: Well, Janis, you know obviously didn't read the opinion from

1614
01:33:09,520 --> 01:33:12,439
Speaker 1: the judge like you did, but you know she's quoted

1615
01:33:12,479 --> 01:33:15,280
Speaker 1: as saying in your story. Similarly, the judge stated that

1616
01:33:15,400 --> 01:33:19,360
Speaker 1: it was quote offensive and of great concern close quote

1617
01:33:19,600 --> 01:33:23,920
Speaker 1: how much Medicaid money flowed through Usef's company, with more

1618
01:33:24,000 --> 01:33:27,120
Speaker 1: than a million bucks transferred from the business account to

1619
01:33:27,640 --> 01:33:29,000
Speaker 1: Usef's personal accounts.

1620
01:33:29,280 --> 01:33:32,000
Speaker 2: Well, you know to me, and again I didn't read it.

1621
01:33:32,439 --> 01:33:37,040
Speaker 1: What is offensive and of great concern is why she

1622
01:33:37,200 --> 01:33:42,559
Speaker 1: would overturn a verdict of twelve jurors supposedly, who are

1623
01:33:42,640 --> 01:33:45,960
Speaker 1: these this guy's peers? Again, I don't know it. And

1624
01:33:46,640 --> 01:33:48,800
Speaker 1: my thing I guess I'm coming back on it is

1625
01:33:49,080 --> 01:33:54,560
Speaker 1: so rare that a judge would substitute her opinion for

1626
01:33:54,760 --> 01:33:57,559
Speaker 1: that of a lawfully constituted jury.

1627
01:33:58,200 --> 01:33:59,880
Speaker 2: You know, I think I might just drill down on

1628
01:34:00,120 --> 01:34:01,640
Speaker 2: that a little bit, but I don't know.

1629
01:34:01,800 --> 01:34:05,320
Speaker 1: I guess as a former prosecutor, that strikes me as

1630
01:34:05,800 --> 01:34:09,599
Speaker 1: a little bit strange and probably I shouldn't say probably,

1631
01:34:10,080 --> 01:34:11,280
Speaker 1: maybe something.

1632
01:34:10,960 --> 01:34:13,680
Speaker 2: Else behind it. And you have all of it, you

1633
01:34:13,760 --> 01:34:16,120
Speaker 2: have all of a minute to respond. Sorry.

1634
01:34:16,240 --> 01:34:18,720
Speaker 3: I didn't delve into this aspect for my story, but

1635
01:34:19,080 --> 01:34:22,000
Speaker 3: my understanding that there may be a unique standard of

1636
01:34:22,080 --> 01:34:26,400
Speaker 3: review that she used that's unique to Minnesota could again,

1637
01:34:26,479 --> 01:34:27,960
Speaker 3: I don't know the ins and outs of that. You

1638
01:34:27,960 --> 01:34:29,559
Speaker 3: would know better than I have a lawyer, Mike.

1639
01:34:29,840 --> 01:34:32,439
Speaker 2: Okay, Well, I'm gonna check it out. Janis. I really

1640
01:34:32,520 --> 01:34:34,840
Speaker 2: appreciate this, appreciate it a lot.

1641
01:34:35,040 --> 01:34:38,360
Speaker 3: Thank you, Sure, thank you very much. I hope I've

1642
01:34:38,439 --> 01:34:41,240
Speaker 3: enlightened some people and you know, give us some information,

1643
01:34:41,400 --> 01:34:43,800
Speaker 3: things to think about and maybe even things to look

1644
01:34:43,840 --> 01:34:44,840
Speaker 3: for in our own backyards.

1645
01:34:44,960 --> 01:34:47,040
Speaker 1: Well, I'm sure that you have, because I got to

1646
01:34:47,080 --> 01:34:50,080
Speaker 1: tell you, hardly a day goes by that somebody doesn't

1647
01:34:50,160 --> 01:34:54,559
Speaker 1: mention something to me about how they are enjoying your

1648
01:34:54,680 --> 01:34:55,439
Speaker 1: reporting on this.

1649
01:34:55,840 --> 01:34:58,960
Speaker 2: It's a big deal and it is very much appreciated.

1650
01:35:00,040 --> 01:35:01,439
Speaker 3: Well, before I get off here, I do want to

1651
01:35:01,479 --> 01:35:03,639
Speaker 3: encourage anybody to contact me, especially if they know anything

1652
01:35:03,680 --> 01:35:05,519
Speaker 3: about what's going on up in Columbus, because I've been

1653
01:35:05,520 --> 01:35:08,000
Speaker 3: hearing some things about that with the Columbus Somali community.

1654
01:35:08,439 --> 01:35:12,240
Speaker 3: I'm on Twitter at Janis High School, hisl E and

1655
01:35:12,400 --> 01:35:13,800
Speaker 3: it has my email on there as well.

1656
01:35:13,960 --> 01:35:17,000
Speaker 2: All right, Jas, thank you, thank you.

1657
01:35:17,400 --> 01:35:20,600
Speaker 1: Okay, all right, Janis Heisel of the Epoch time she

1658
01:35:20,760 --> 01:35:24,680
Speaker 1: mentioned the Columbus situation. If you've been listening for the

1659
01:35:24,720 --> 01:35:26,680
Speaker 1: whole show, you know that we've had a couple of

1660
01:35:26,760 --> 01:35:29,680
Speaker 1: callers and we had some last week too talking about it.

1661
01:35:29,800 --> 01:35:32,639
Speaker 2: So get ready for that, hey, listen. I am out

1662
01:35:32,680 --> 01:35:32,880
Speaker 2: of here.

1663
01:35:33,040 --> 01:35:37,080
Speaker 1: I'm in for Sloaney Wednesday morning from nine to noon,

1664
01:35:37,439 --> 01:35:40,559
Speaker 1: then of course next Saturday for Saturday midday Mike Allen

1665
01:35:40,680 --> 01:35:43,560
Speaker 1: seven hundred WLW. But before I go, I want to

1666
01:35:43,560 --> 01:35:46,439
Speaker 1: thank my producer Liam Mike Allen, seven hundred