1
00:00:01,960 --> 00:00:06,640
Speaker 1: Welcome intown. O'donald's show Wednesday addition, and we have got

2
00:00:06,680 --> 00:00:10,920
Speaker 1: a fun one for you this afternoon. Quite possibly the

3
00:00:11,039 --> 00:00:17,000
Speaker 1: most hilarious left winger in the Minneapolis protests comes from

4
00:00:17,560 --> 00:00:22,319
Speaker 1: where else, Madison, Wisconsin. He drove all the way to

5
00:00:22,520 --> 00:00:27,800
Speaker 1: Minneapolis to do his part and unintentionally reveals himself to

6
00:00:27,840 --> 00:00:33,559
Speaker 1: be super super racist. We'll get to that in just

7
00:00:33,640 --> 00:00:35,560
Speaker 1: a second. Here are some of the stories that we're

8
00:00:35,600 --> 00:00:43,040
Speaker 1: following right now. President Trump, holding the very first bill

9
00:00:43,240 --> 00:00:44,960
Speaker 1: signing of the new year.

10
00:00:45,080 --> 00:00:47,919
Speaker 2: Week announced that I'm creating a brand new division at

11
00:00:47,920 --> 00:00:50,720
Speaker 2: the Department of Justice, a legal strike force, led by

12
00:00:51,360 --> 00:00:53,400
Speaker 2: a really tough, smart.

13
00:00:52,960 --> 00:00:57,240
Speaker 1: New Attorney General for fraud. He's a fantastic young guys. Well,

14
00:00:57,320 --> 00:01:01,920
Speaker 1: that is actually not the correct sound bite here. This

15
00:01:02,080 --> 00:01:06,319
Speaker 1: is the Whole Milk Bill. It's totally different from what

16
00:01:06,440 --> 00:01:06,960
Speaker 1: was today.

17
00:01:07,000 --> 00:01:10,240
Speaker 3: I'm delighted to sign the Whole Milk for Healthy Kids

18
00:01:10,360 --> 00:01:13,720
Speaker 3: Act into law, which is a very important thing for

19
00:01:13,760 --> 00:01:17,319
Speaker 3: our farmers and I think maybe more important for our people,

20
00:01:18,000 --> 00:01:21,480
Speaker 3: the people that drink milk. This is the first mill

21
00:01:21,600 --> 00:01:24,679
Speaker 3: signing of the new year, and we're sure that millions

22
00:01:24,680 --> 00:01:28,400
Speaker 3: of school age children of access to high quality milkers

23
00:01:28,440 --> 00:01:30,160
Speaker 3: who make healthy again.

24
00:01:30,880 --> 00:01:33,400
Speaker 1: The President also signed a pair of executive orders. He

25
00:01:33,520 --> 00:01:37,200
Speaker 1: took questions from reporters on a number of different topics,

26
00:01:37,200 --> 00:01:40,120
Speaker 1: telling them that his administration has arrested the leaker of

27
00:01:40,200 --> 00:01:44,040
Speaker 1: Venezuela attack plans, and that Iran has apparently agreed to

28
00:01:44,080 --> 00:01:45,560
Speaker 1: stop killing protesters.

29
00:01:45,680 --> 00:01:50,720
Speaker 2: Told that the killing in Iran is stopping, stopped and stopping,

30
00:01:51,640 --> 00:01:56,280
Speaker 2: and there's no plan for executions or an execution or executions.

31
00:01:57,000 --> 00:01:59,040
Speaker 2: So I've been told that a good authority, we'll find

32
00:01:59,080 --> 00:01:59,720
Speaker 2: out about it.

33
00:02:00,480 --> 00:02:02,760
Speaker 1: Human rights groups estimate that the death toll is in

34
00:02:02,840 --> 00:02:06,520
Speaker 1: the thousands following the brutal repression of widespread protests that

35
00:02:06,680 --> 00:02:08,920
Speaker 1: are threatening the rule of the Ayatola and the Mullas.

36
00:02:09,000 --> 00:02:11,120
Speaker 1: More on all of this coming up in the Daily

37
00:02:11,160 --> 00:02:14,840
Speaker 1: Trump Date at four o'clock. Vice President JD. Van, Secretary

38
00:02:14,880 --> 00:02:18,399
Speaker 1: of State Marco Rubio meeting with Danish and Greenlandic officials

39
00:02:18,760 --> 00:02:21,680
Speaker 1: at the White House today to discuss President Trump's push

40
00:02:21,720 --> 00:02:25,120
Speaker 1: for American control over the nation. The President is pushing

41
00:02:25,120 --> 00:02:27,760
Speaker 1: to buy Greenland, but its prime minister has expressed a

42
00:02:27,800 --> 00:02:32,359
Speaker 1: desire to remain a Danish territory here at home. Fundraising

43
00:02:32,440 --> 00:02:35,840
Speaker 1: numbers are out ahead of the Wisconsin Supreme Court race

44
00:02:36,040 --> 00:02:42,320
Speaker 1: in April, and well, they are a disaster for conservatives.

45
00:02:42,360 --> 00:02:46,600
Speaker 1: We'll get into that coming up in the four o'clock hour.

46
00:02:46,720 --> 00:02:51,359
Speaker 1: Right now, those several hundred students walked out of Madison

47
00:02:51,560 --> 00:02:55,640
Speaker 1: East and West High Schools to go to the Wisconsin

48
00:02:55,800 --> 00:03:02,200
Speaker 1: capital to protest ICE in Innneapolis. Now, of course, if

49
00:03:02,240 --> 00:03:06,919
Speaker 1: you are a teenage protester and you are protesting against Ice,

50
00:03:07,040 --> 00:03:10,680
Speaker 1: what do you need to bring? That's right, a Palestinian

51
00:03:10,760 --> 00:03:16,080
Speaker 1: flag because this is apparently their omnit cause ICE is

52
00:03:16,560 --> 00:03:20,240
Speaker 1: cracking down against innocent Palestinians. I don't know. Is ICE

53
00:03:20,480 --> 00:03:25,280
Speaker 1: perpetuating a genocide in the Minneapolis territories. There was also

54
00:03:25,360 --> 00:03:29,799
Speaker 1: a sign that read bleep Ice. The Madison Metropolitan School

55
00:03:29,840 --> 00:03:33,079
Speaker 1: District has put out a statement. Though today's events were

56
00:03:33,120 --> 00:03:38,680
Speaker 1: neither organized nor sanctioned, MMSD fully supports the students exercising

57
00:03:38,720 --> 00:03:42,440
Speaker 1: their First Amendment right to peaceful assembly. We encourage them

58
00:03:42,480 --> 00:03:46,360
Speaker 1: to engage in responsible civic activism and speak out on

59
00:03:46,600 --> 00:03:52,360
Speaker 1: issues that matter to them. Here's an issue that matters

60
00:03:52,360 --> 00:03:56,200
Speaker 1: to Madison East and West High school students. Nobody is

61
00:03:56,240 --> 00:03:59,640
Speaker 1: apparently able to read at grade level. According to the

62
00:03:59,680 --> 00:04:04,960
Speaker 1: most recent Department of Public Instruction School and District report cards,

63
00:04:05,560 --> 00:04:09,440
Speaker 1: just twenty five percent of Hispanic students in the Madison

64
00:04:09,440 --> 00:04:15,320
Speaker 1: Metropolitan School District and sixteen percent of Black students actually

65
00:04:15,400 --> 00:04:20,880
Speaker 1: read at grade level. But yes, let's take time out

66
00:04:20,880 --> 00:04:24,599
Speaker 1: of the school day to protest against ice in a

67
00:04:24,720 --> 00:04:28,120
Speaker 1: different state. You want to join the Dan o'donald Show

68
00:04:28,160 --> 00:04:31,720
Speaker 1: four one four seven nine to nine eleven thirty or

69
00:04:31,800 --> 00:04:34,600
Speaker 1: one eight hundred eight three eight nine four seven six

70
00:04:34,960 --> 00:04:38,880
Speaker 1: email me directly dood at iHeartMedia dot com, at Dan O'donaldshow,

71
00:04:39,000 --> 00:04:42,320
Speaker 1: on exce, on Facebook, on Instagram. We will be streaming

72
00:04:42,360 --> 00:04:44,839
Speaker 1: live on our YouTube channel in just a second. Had

73
00:04:44,839 --> 00:04:48,839
Speaker 1: some slight technical difficulties getting the danocam started. Have no fear.

74
00:04:48,880 --> 00:04:51,400
Speaker 1: We will be starting our stream. I'll probably get it

75
00:04:51,480 --> 00:04:54,200
Speaker 1: underway in about ten minutes or so when we go

76
00:04:54,360 --> 00:04:58,160
Speaker 1: to commercial break for the first time. In the meantime,

77
00:04:58,240 --> 00:05:00,400
Speaker 1: how about we win you one thousand bucks in our

78
00:05:00,440 --> 00:05:05,760
Speaker 1: cold hard cash contest. The word this hour is happy,

79
00:05:06,080 --> 00:05:09,080
Speaker 1: h A P P y happy. You have got until

80
00:05:09,160 --> 00:05:11,120
Speaker 1: five to the top of the hour to go to

81
00:05:11,160 --> 00:05:13,640
Speaker 1: our website that's news Talk eleven thirty dot com or

82
00:05:13,839 --> 00:05:18,720
Speaker 1: WIBA dot com and enter the keyword happy. You will

83
00:05:18,760 --> 00:05:21,760
Speaker 1: be happy you did if you take home one thousand

84
00:05:21,800 --> 00:05:28,440
Speaker 1: dollars in cash instantly. Once again, the word is happy.

85
00:05:29,680 --> 00:05:34,599
Speaker 1: You know what makes me really happy? Ladies and gentlemen,

86
00:05:36,440 --> 00:05:42,000
Speaker 1: When left wingers inadvertently prove everything I say about them correct,

87
00:05:43,440 --> 00:05:48,200
Speaker 1: I always say one of the biggest tells that white

88
00:05:48,680 --> 00:05:52,560
Speaker 1: affluent liberals are some of the most racist people you

89
00:05:52,600 --> 00:05:55,160
Speaker 1: will ever meet, because of what's known as the soft

90
00:05:55,200 --> 00:06:00,920
Speaker 1: bigotry of low expectations, just the expectation that black and

91
00:06:01,040 --> 00:06:04,880
Speaker 1: brown people need their help. Their help being white liberals

92
00:06:04,960 --> 00:06:11,000
Speaker 1: need white liberals in order to do anything. The obvious

93
00:06:12,800 --> 00:06:17,080
Speaker 1: precondition for this belief is that somehow black and brown

94
00:06:17,080 --> 00:06:22,600
Speaker 1: people are unable to do anything on their own. It

95
00:06:22,680 --> 00:06:27,600
Speaker 1: is a worldview that is, for the most part, rooted

96
00:06:27,640 --> 00:06:32,560
Speaker 1: in a sort of bigotry that presupposes that, because of

97
00:06:33,040 --> 00:06:40,080
Speaker 1: America's racism towards black Hispanic people, not Asian people, weirdly enough,

98
00:06:40,160 --> 00:06:42,560
Speaker 1: not Indian people, who seem to be doing just fine,

99
00:06:42,600 --> 00:06:45,320
Speaker 1: they don't need white liberal help. But black and brown people,

100
00:06:45,720 --> 00:06:49,880
Speaker 1: Hispanic and African American people definitely need white liberal help

101
00:06:50,000 --> 00:06:54,320
Speaker 1: because they simply cannot, and the presupposition that they simply

102
00:06:54,360 --> 00:06:58,360
Speaker 1: cannot insert whatever it is they cannot do here. That's

103
00:06:58,400 --> 00:07:02,920
Speaker 1: the textbook definition of racism, the idea that we need

104
00:07:02,960 --> 00:07:07,040
Speaker 1: DEI programs or affirmative action or whatever it is gussied

105
00:07:07,200 --> 00:07:12,480
Speaker 1: up as this decade racial set asides or preferential hiring

106
00:07:12,760 --> 00:07:16,800
Speaker 1: or college admissions that are based on race and not

107
00:07:16,880 --> 00:07:20,680
Speaker 1: based on test scores or grades or actual aptitude for

108
00:07:21,200 --> 00:07:25,720
Speaker 1: whatever program is being offered to the kids applying, it's

109
00:07:25,760 --> 00:07:29,560
Speaker 1: based on race. And if there's a set aside, that

110
00:07:29,720 --> 00:07:34,440
Speaker 1: is a tacit admission that somehow the person who has

111
00:07:34,520 --> 00:07:38,880
Speaker 1: a position set aside for them is not otherwise able

112
00:07:38,920 --> 00:07:42,640
Speaker 1: to get the job or to get into the class. Now,

113
00:07:42,760 --> 00:07:47,600
Speaker 1: rarely do you see left wing do good riism devolve

114
00:07:47,680 --> 00:07:54,040
Speaker 1: into racism as openly and as hilariously as it did

115
00:07:54,120 --> 00:07:59,480
Speaker 1: with Paul from Madison. Paul, who is dressed in flannel,

116
00:08:00,200 --> 00:08:05,160
Speaker 1: resplendent with his ginger lumberjack look. He drove all the

117
00:08:05,200 --> 00:08:11,360
Speaker 1: way from Wisconsin's capital city to Minneapolis, where ms NOW

118
00:08:11,520 --> 00:08:20,600
Speaker 1: cameras formerly ms NBC cameras, found him standing watch protecting

119
00:08:20,680 --> 00:08:25,240
Speaker 1: people from ice, people who he just sort of assumed

120
00:08:25,760 --> 00:08:30,880
Speaker 1: needed his protection from ice. Here is ms NOW reporter

121
00:08:31,480 --> 00:08:35,800
Speaker 1: Chris Jansing on Chris Jansen Reports, Paul, you came in

122
00:08:35,840 --> 00:08:38,839
Speaker 1: from Madison, Wisconsin. That's a long drive.

123
00:08:38,920 --> 00:08:42,640
Speaker 4: Help explain to me why you're here outside of this

124
00:08:42,800 --> 00:08:43,720
Speaker 4: business right now.

125
00:08:43,760 --> 00:08:46,440
Speaker 5: So I'm out here right now because this business put

126
00:08:46,440 --> 00:08:49,600
Speaker 5: out a call for people to stand on this corner

127
00:08:49,640 --> 00:08:51,880
Speaker 5: to watch the business for them. They've been really worried

128
00:08:51,880 --> 00:08:54,600
Speaker 5: about reopening. They were shut down for the past five

129
00:08:54,679 --> 00:08:58,880
Speaker 5: days after Ice was here, and they just aren't comfortable

130
00:08:59,640 --> 00:09:01,920
Speaker 5: just and it's on their own, Okay.

131
00:09:02,280 --> 00:09:09,000
Speaker 1: So he's outside of a Mexican restaurant. He just sort of.

132
00:09:08,960 --> 00:09:14,080
Speaker 6: Assumes that everybody inside the Mexican restaurant must be an

133
00:09:14,160 --> 00:09:19,360
Speaker 6: illegal alien and must need his protection from Ice.

134
00:09:19,720 --> 00:09:21,719
Speaker 1: So he gets it in his head to.

135
00:09:21,800 --> 00:09:26,240
Speaker 7: Drive all the way from Madison to Minneapolis to protect

136
00:09:26,520 --> 00:09:30,400
Speaker 7: the dozens and dozens and dozens of illegals who must

137
00:09:30,480 --> 00:09:33,920
Speaker 7: be hiding in the kitchen of the Mexican restaurant.

138
00:09:34,000 --> 00:09:36,520
Speaker 1: It goes on, and it even gets better from here.

139
00:09:36,640 --> 00:09:40,520
Speaker 4: And this is a Mexican restaurant and grocery store. And Paul,

140
00:09:40,640 --> 00:09:43,559
Speaker 4: I see that you have a lot of equipment on you.

141
00:09:43,559 --> 00:09:47,160
Speaker 4: You have a camera, obviously, you have another GoPro back here.

142
00:09:47,400 --> 00:09:49,920
Speaker 4: You've got this acts as a whistle, you are telling me,

143
00:09:50,240 --> 00:09:54,280
Speaker 4: and you've also got a first aid. Yet, it would

144
00:09:54,280 --> 00:09:58,080
Speaker 4: be easy to understand why somebody wouldn't want to be

145
00:09:58,120 --> 00:10:00,840
Speaker 4: coming out here to do the work that Renee Good

146
00:10:01,120 --> 00:10:05,160
Speaker 4: was doing after she lost her life, but instead you

147
00:10:05,440 --> 00:10:07,840
Speaker 4: drove in four hours away.

148
00:10:07,920 --> 00:10:12,440
Speaker 1: Yeah, he's like he's he's like a racist batman, is

149
00:10:12,440 --> 00:10:16,040
Speaker 1: what he is. He is just he's running it, you

150
00:10:16,080 --> 00:10:21,800
Speaker 1: know what he is. He is like Antifa's answer to

151
00:10:21,880 --> 00:10:24,560
Speaker 1: the first responders on nine eleven. Everybody else is running

152
00:10:24,559 --> 00:10:28,520
Speaker 1: out of the Twin towers. He is running into Los

153
00:10:28,640 --> 00:10:32,840
Speaker 1: Sombreros or whatever the hell this restaurant is called. Because

154
00:10:32,880 --> 00:10:36,760
Speaker 1: he is so certain, he is so certain there are

155
00:10:36,840 --> 00:10:43,880
Speaker 1: some illegals in the Mexican restaurant that need protecting. Paul

156
00:10:44,640 --> 00:10:47,760
Speaker 1: take it away with some of the best left wing

157
00:10:47,960 --> 00:10:49,199
Speaker 1: gibberish I have heard.

158
00:10:50,120 --> 00:10:52,440
Speaker 4: Why is it so important for you to be here

159
00:10:52,559 --> 00:10:54,360
Speaker 4: right now, to be doing this work right now?

160
00:10:54,440 --> 00:10:54,760
Speaker 8: Yeah?

161
00:10:54,800 --> 00:10:57,600
Speaker 5: I have family in this community, so I was really

162
00:10:57,679 --> 00:11:01,480
Speaker 5: worried about about them. They shared their concerns, and they

163
00:11:01,520 --> 00:11:03,800
Speaker 5: have a young son. They're not able to do this work.

164
00:11:03,840 --> 00:11:06,960
Speaker 5: They're not able to stand here and watch over the neighborhood.

165
00:11:07,360 --> 00:11:10,000
Speaker 5: So I'm here for them.

166
00:11:10,440 --> 00:11:14,200
Speaker 1: He's here. Nobody asked him to be there, but he

167
00:11:14,320 --> 00:11:21,160
Speaker 1: is there for them because they need him. A ginger

168
00:11:21,679 --> 00:11:23,199
Speaker 1: superman for this community.

169
00:11:23,360 --> 00:11:25,920
Speaker 5: This is what they need. They need to see people

170
00:11:25,960 --> 00:11:29,360
Speaker 5: in this community out here supporting them, showing them that

171
00:11:29,400 --> 00:11:33,520
Speaker 5: we are not afraid of this state sponsored terrorism.

172
00:11:34,040 --> 00:11:38,120
Speaker 1: This is what we call white savior complex. It infects

173
00:11:38,200 --> 00:11:41,599
Speaker 1: the minds of the left. It is exactly what infected

174
00:11:41,640 --> 00:11:45,200
Speaker 1: the mind of poor Renee Good and her wife, Rebecca Good,

175
00:11:45,200 --> 00:11:49,400
Speaker 1: who truly thought they were doing good by interfering with

176
00:11:49,559 --> 00:11:53,880
Speaker 1: valid law enforcement operations. Now, our friend Paul, the Ginger

177
00:11:54,000 --> 00:11:57,680
Speaker 1: superhero is taking it about a million steps further by

178
00:11:57,800 --> 00:12:02,120
Speaker 1: driving four hours to stand watch in front of a

179
00:12:02,160 --> 00:12:09,520
Speaker 1: Mexican restaurant. Now watch if World War three ever breaks

180
00:12:09,559 --> 00:12:13,240
Speaker 1: out between the United States and China. You had better

181
00:12:13,320 --> 00:12:17,520
Speaker 1: believe we will find Paul from Madison bravely standing guard

182
00:12:18,000 --> 00:12:21,720
Speaker 1: outside the Wongs Walk Scott in Brookfield. You're up first

183
00:12:21,760 --> 00:12:25,640
Speaker 1: on the Dan O'Donnell show. Good afternoon, sir Dan, How

184
00:12:25,640 --> 00:12:28,520
Speaker 1: are you, sir? Wonderful? My friend? Are you kidding me?

185
00:12:28,720 --> 00:12:32,000
Speaker 1: After that epic SoundBite? How could I be anything but

186
00:12:33,800 --> 00:12:36,840
Speaker 1: h just a quick comment, nonviolent.

187
00:12:37,800 --> 00:12:39,000
Speaker 3: Since it's still cold.

188
00:12:38,800 --> 00:12:42,280
Speaker 9: Up in Minneapolis, why don't they turn the fire department

189
00:12:42,360 --> 00:12:45,719
Speaker 9: hoses on those people and let them get cold and

190
00:12:45,800 --> 00:12:46,839
Speaker 9: let them all go home?

191
00:12:47,440 --> 00:12:52,560
Speaker 1: Well, because you don't have local law enforcement willing to

192
00:12:52,679 --> 00:12:56,800
Speaker 1: do that. And besides, the turning the fire hoses on

193
00:12:56,960 --> 00:13:02,000
Speaker 1: protesters has the obvious connotation of what Democrat sheriffs like

194
00:13:02,120 --> 00:13:05,600
Speaker 1: Bull Connor did to black civil rights protesters back in

195
00:13:05,640 --> 00:13:09,560
Speaker 1: the nineteen sixties. And the last thing that do good

196
00:13:09,600 --> 00:13:12,559
Speaker 1: or white liberals like Tim Walls and Jacob Frye and

197
00:13:13,080 --> 00:13:16,040
Speaker 1: every other left wing leader up there once is to

198
00:13:16,280 --> 00:13:19,600
Speaker 1: remind people that it was Democrats just like them who

199
00:13:19,600 --> 00:13:22,559
Speaker 1: were turning fire hoses on black civil rights protesters in

200
00:13:22,600 --> 00:13:26,120
Speaker 1: the nineteen sixties. That would be my answer for you.

201
00:13:26,200 --> 00:13:28,360
Speaker 1: Thank you very much for the call, Scott. Let's go

202
00:13:28,440 --> 00:13:31,960
Speaker 1: to Jason up in Mechwan. You're on the Dan O'Donnell show.

203
00:13:31,960 --> 00:13:32,679
Speaker 1: It's going on, my.

204
00:13:32,640 --> 00:13:37,040
Speaker 10: Friend, and I'm just trying to stay grounded and trying

205
00:13:37,040 --> 00:13:37,640
Speaker 10: to stay warm.

206
00:13:37,880 --> 00:13:41,160
Speaker 1: Hey, that's all any of us can do. What's going on?

207
00:13:41,920 --> 00:13:42,720
Speaker 11: Yeah, exactly.

208
00:13:43,120 --> 00:13:46,280
Speaker 10: This goes back to your first topic about the libtards

209
00:13:46,320 --> 00:13:48,440
Speaker 10: from Madison Cutton School.

210
00:13:48,920 --> 00:13:50,480
Speaker 11: I don't know about you, but back in the day,

211
00:13:50,520 --> 00:13:51,439
Speaker 11: I'd be either.

212
00:13:51,200 --> 00:13:55,400
Speaker 12: Suspended or do some serious detention time for Cutton School.

213
00:13:55,800 --> 00:13:59,800
Speaker 1: Well, that's because you actually had school administrators and teachers

214
00:13:59,800 --> 00:14:05,520
Speaker 1: who cared about your education and not seeing the protest

215
00:14:05,760 --> 00:14:08,600
Speaker 1: as part of the curriculum. You see, this is one

216
00:14:08,640 --> 00:14:11,520
Speaker 1: of the big transformations. I always talk about the fact

217
00:14:11,600 --> 00:14:14,440
Speaker 1: that I happen to think the vast majority, in fact,

218
00:14:14,480 --> 00:14:19,680
Speaker 1: the overwhelming majority of educators in school administrators are fantastic people.

219
00:14:20,120 --> 00:14:23,040
Speaker 1: In fact, I don't think I have ever had in

220
00:14:23,960 --> 00:14:28,680
Speaker 1: my kid's academic career a bad teacher, And in fact,

221
00:14:28,720 --> 00:14:31,680
Speaker 1: the administrators, every single one that I have dealt with

222
00:14:31,760 --> 00:14:34,720
Speaker 1: at all of the schools that they have attended, have been,

223
00:14:34,760 --> 00:14:39,880
Speaker 1: to a person fantastic. But there are administrators and there

224
00:14:39,960 --> 00:14:44,040
Speaker 1: are teachers out there, especially in liberal enclaves like the

225
00:14:44,080 --> 00:14:48,560
Speaker 1: Madison Metropolitan School District, like the Milwaukee Public Schools School District,

226
00:14:48,920 --> 00:14:52,040
Speaker 1: who truly believe that a big part of what they

227
00:14:52,120 --> 00:14:56,280
Speaker 1: do is to turn these kids into little activists. Is

228
00:14:56,320 --> 00:15:00,000
Speaker 1: to why do you think Minneapolis public schools shut down

229
00:15:00,360 --> 00:15:03,160
Speaker 1: last Thursday and Friday. It had nothing to do with

230
00:15:03,240 --> 00:15:06,240
Speaker 1: any sort of fear that all of their illegal students

231
00:15:06,240 --> 00:15:08,800
Speaker 1: were suddenly going to be deported during an ice surge.

232
00:15:08,920 --> 00:15:11,080
Speaker 1: It had everything to do with the fact that they

233
00:15:11,280 --> 00:15:16,520
Speaker 1: wanted these kids out in the streets, protesting, rioting if necessary,

234
00:15:16,600 --> 00:15:20,240
Speaker 1: so that they could then turn on the cameras and say, hey, look,

235
00:15:20,320 --> 00:15:24,240
Speaker 1: this has activated the younger generation. Hey look the kids

236
00:15:24,280 --> 00:15:29,320
Speaker 1: are all right, they're out and protesting, when in actuality,

237
00:15:30,560 --> 00:15:34,840
Speaker 1: it's the adults who are supposed to be well, the

238
00:15:34,880 --> 00:15:38,080
Speaker 1: adults in the room who are guiding them and who

239
00:15:38,120 --> 00:15:41,280
Speaker 1: are all but ensuring that they show up at these things.

240
00:15:41,280 --> 00:15:43,440
Speaker 1: In fact, a number of people at the Capitol today

241
00:15:43,440 --> 00:15:46,560
Speaker 1: for the Madison East and Madison West walk out said

242
00:15:46,600 --> 00:15:50,880
Speaker 1: that there were a number of adults, presumably teachers, presumably

243
00:15:50,920 --> 00:15:56,200
Speaker 1: administrators from the two schools, working with them, guiding them,

244
00:15:56,440 --> 00:16:03,320
Speaker 1: chaperoning them, and rather obviously approving of what it is

245
00:16:03,440 --> 00:16:05,920
Speaker 1: that they were doing. Jerry and Pewaukee. Before We've got

246
00:16:05,960 --> 00:16:07,760
Speaker 1: to go to break, you're on the Dan O'Donnell show.

247
00:16:09,440 --> 00:16:12,120
Speaker 11: Hi Dan, nice speaking with you. I have to say

248
00:16:12,400 --> 00:16:14,040
Speaker 11: at this point, I really feel that.

249
00:16:14,000 --> 00:16:17,440
Speaker 9: The White House and the GOP as a whole are

250
00:16:17,560 --> 00:16:20,560
Speaker 9: not doing a good enough job getting out the message

251
00:16:20,640 --> 00:16:25,560
Speaker 9: that these folks that are obstructing, that they're rioting, throwing objects,

252
00:16:25,560 --> 00:16:29,000
Speaker 9: et cetera, that they're doing this directly on behalf of

253
00:16:29,160 --> 00:16:30,680
Speaker 9: illegal immigration in.

254
00:16:30,640 --> 00:16:35,160
Speaker 11: The United States. I fear, as I listened to everything

255
00:16:35,280 --> 00:16:38,760
Speaker 11: and look at all the commentary on the Internet, that

256
00:16:39,640 --> 00:16:42,920
Speaker 11: the PR battle is being lost on this by just

257
00:16:43,040 --> 00:16:48,480
Speaker 11: making this a focus on ICE's behavior and not a

258
00:16:48,520 --> 00:16:51,520
Speaker 11: focus a continued focus on illegal immigration.

259
00:16:51,960 --> 00:16:55,000
Speaker 1: I actually disagree on that. I actually disagree on that

260
00:16:55,000 --> 00:16:58,160
Speaker 1: that message is getting out there. What we lose the

261
00:16:58,200 --> 00:17:01,800
Speaker 1: PR battle on is the mainstream media, the traditional left

262
00:17:01,840 --> 00:17:05,520
Speaker 1: wing media, has the tendency of making us think, Jerry

263
00:17:05,640 --> 00:17:09,200
Speaker 1: and you and I are both susceptible to it that

264
00:17:09,520 --> 00:17:12,520
Speaker 1: these crazies who are walking out of high school to

265
00:17:12,720 --> 00:17:16,879
Speaker 1: protest Ice a state away, that you've got Paul the

266
00:17:17,080 --> 00:17:19,840
Speaker 1: Ginger Batman driving all the way to Madison, or all

267
00:17:19,840 --> 00:17:23,840
Speaker 1: the way from Madison to Minneapolis to stand guard outside

268
00:17:23,840 --> 00:17:27,000
Speaker 1: of the Mexican restaurant to protect all of the illegals

269
00:17:27,000 --> 00:17:31,720
Speaker 1: who he presumes must be inside. We have a tendency

270
00:17:31,760 --> 00:17:35,320
Speaker 1: to think, well, this must be how everyday Americans are thinking.

271
00:17:35,760 --> 00:17:38,639
Speaker 1: That's not exactly the case, and in fact, the exact

272
00:17:38,800 --> 00:17:43,080
Speaker 1: opposite is true. In fact, the overwhelming majority of Americans

273
00:17:43,240 --> 00:17:47,320
Speaker 1: understand what Ice is doing, except what Ice is doing

274
00:17:47,520 --> 00:17:51,680
Speaker 1: and support what Ice is doing. A big left wing

275
00:17:51,800 --> 00:17:55,920
Speaker 1: narrative dies a painful death today. We'll get into that next.

276
00:17:57,080 --> 00:17:57,600
Speaker 1: More of that.

277
00:17:57,680 --> 00:18:00,600
Speaker 2: Dan o'donald Show o'donald shot.

278
00:18:06,840 --> 00:18:09,240
Speaker 1: Producer Armin. I'll give you five bucks if you can

279
00:18:09,280 --> 00:18:14,560
Speaker 1: tell me what nineteen eighties early nineties video game this

280
00:18:14,720 --> 00:18:21,840
Speaker 1: music is from, not Zelda. That was a good guess.

281
00:18:22,880 --> 00:18:24,439
Speaker 1: So I don't know if I should admit this. I'm

282
00:18:24,480 --> 00:18:28,760
Speaker 1: actually playing the Legend of Zelda. No, it's Zelda to

283
00:18:29,000 --> 00:18:31,760
Speaker 1: the Adventure of Link. This is from the Duck Tails

284
00:18:31,840 --> 00:18:35,919
Speaker 1: video game. This is Ducktails. Well, it's an updated version

285
00:18:36,640 --> 00:18:38,760
Speaker 1: that I just thought is such a banger. We're gonna

286
00:18:38,760 --> 00:18:43,640
Speaker 1: put it in the Dan O'Donnell Show bumper music rotation. No,

287
00:18:43,920 --> 00:18:47,720
Speaker 1: I'm playing the Zelda to the Adventure of Link video

288
00:18:47,840 --> 00:18:51,679
Speaker 1: game again. I bought myself as sort of a Christmas present.

289
00:18:52,240 --> 00:18:54,080
Speaker 1: Do I have a Mountain dew code right now? Mountain

290
00:18:54,119 --> 00:18:56,919
Speaker 1: Duwke code red didn't exist when I was playing Nintendo.

291
00:18:57,680 --> 00:18:59,400
Speaker 1: That was back during the days when we had had

292
00:18:59,440 --> 00:19:04,359
Speaker 1: like Jolly Good Cola. Oh yeah, Jolt was big RC

293
00:19:04,640 --> 00:19:10,400
Speaker 1: Cola massive. We would have High Sea ecdo cooler while

294
00:19:10,400 --> 00:19:13,960
Speaker 1: we were playing Zelda two. No, I bought myself an emulator.

295
00:19:14,480 --> 00:19:18,679
Speaker 1: It basically is the size of a Nintendo switch, and I,

296
00:19:19,040 --> 00:19:21,480
Speaker 1: as my kids say, I loaded it up with every

297
00:19:21,600 --> 00:19:24,960
Speaker 1: old man video game that there is, so I've got

298
00:19:25,000 --> 00:19:31,800
Speaker 1: like every single Nintendo Super, Nintendo Sega Genesis game. It's

299
00:19:31,840 --> 00:19:39,760
Speaker 1: marginally legal. The the online world of emulation is sort

300
00:19:39,800 --> 00:19:42,000
Speaker 1: of a legal gray area. Actually it's not. It's not

301
00:19:42,400 --> 00:19:46,960
Speaker 1: one legal at all, which is why I was kind

302
00:19:46,960 --> 00:19:51,480
Speaker 1: of nervous about admitting this very publicly. Yes, libs, you've

303
00:19:51,480 --> 00:19:55,680
Speaker 1: got me. You can get you can get the Milwaukee

304
00:19:55,760 --> 00:19:59,880
Speaker 1: County DA to bang down my door for my from

305
00:20:00,000 --> 00:20:03,800
Speaker 1: my video game rams from the nineteen eighties that I'm

306
00:20:03,880 --> 00:20:10,320
Speaker 1: using illegally. A major left wing narrative has utterly collapsed,

307
00:20:12,040 --> 00:20:15,280
Speaker 1: and that is, of course that the Ice agent who

308
00:20:15,400 --> 00:20:20,239
Speaker 1: ran over Renee Good was not at all justified in

309
00:20:20,359 --> 00:20:22,760
Speaker 1: doing so. The Ice agent who shot her by the way,

310
00:20:22,760 --> 00:20:26,560
Speaker 1: because he wasn't run over, he wasn't injured. Just ask

311
00:20:27,320 --> 00:20:28,800
Speaker 1: Muneapolis Mayor Jacob Fry.

312
00:20:28,880 --> 00:20:31,680
Speaker 9: The Ice agent walked away.

313
00:20:33,440 --> 00:20:35,800
Speaker 5: With a hip injury that he might as well have

314
00:20:35,880 --> 00:20:38,600
Speaker 5: gotten from closing a refrigerator door with his hips.

315
00:20:39,720 --> 00:20:40,840
Speaker 11: He was not injured.

316
00:20:41,880 --> 00:20:45,960
Speaker 4: I've seen worse injuries from doing that, and so give

317
00:20:46,000 --> 00:20:46,920
Speaker 4: me a break.

318
00:20:48,040 --> 00:20:51,840
Speaker 1: No, mayor Fry, give me a break. We now know

319
00:20:52,440 --> 00:20:58,360
Speaker 1: via CBS News reporting that the ice agent Jonathan Ross,

320
00:20:58,960 --> 00:21:03,400
Speaker 1: who shot Renee on January seventh in Minneapolis, suffered internal

321
00:21:03,520 --> 00:21:07,280
Speaker 1: bleeding to the torso following the incident, according to two

322
00:21:07,400 --> 00:21:12,600
Speaker 1: US officials briefed on his medical conditions, CBS reporting that

323
00:21:13,359 --> 00:21:18,840
Speaker 1: today we could all see the video in which he

324
00:21:19,080 --> 00:21:23,520
Speaker 1: was struck by Rene Goods car how many of those

325
00:21:24,040 --> 00:21:28,640
Speaker 1: Madison East or Madison West students actually knew that. It's

326
00:21:28,680 --> 00:21:33,400
Speaker 1: a remarkable phenomenon that left wingers just kind of don't

327
00:21:33,480 --> 00:21:36,760
Speaker 1: know things, or they pretend not to know things. I

328
00:21:36,800 --> 00:21:40,639
Speaker 1: read to that tweet on Monday that so much of

329
00:21:40,720 --> 00:21:44,639
Speaker 1: leftist discourse is just them pretending not to know things,

330
00:21:44,800 --> 00:21:49,480
Speaker 1: thus making actual discourse impossible. I genuinely think a good

331
00:21:49,520 --> 00:21:54,560
Speaker 1: amount of it, in terms of the vast majority of

332
00:21:54,680 --> 00:21:58,880
Speaker 1: people who believe left wing narratives, they simply don't know.

333
00:22:00,040 --> 00:22:03,600
Speaker 1: My wife has an absolutely amazing theory about this, and

334
00:22:03,600 --> 00:22:07,399
Speaker 1: that's discourse between right and left is getting more and

335
00:22:07,480 --> 00:22:11,240
Speaker 1: more impossible because we are quite literally presented with two

336
00:22:11,320 --> 00:22:16,040
Speaker 1: different versions of reality based on the social media algorithms

337
00:22:16,119 --> 00:22:18,200
Speaker 1: with which we are presented. I mean, if you think

338
00:22:18,200 --> 00:22:23,639
Speaker 1: about it, you come to this show hopefully every single

339
00:22:23,760 --> 00:22:28,080
Speaker 1: day from three to six pm, and you listen or

340
00:22:28,119 --> 00:22:30,120
Speaker 1: you watch. By the way, we do have the live

341
00:22:30,160 --> 00:22:34,480
Speaker 1: stream going. The dan ocam is up. I just had

342
00:22:34,520 --> 00:22:37,760
Speaker 1: to do a little tweaks before the show and there

343
00:22:37,800 --> 00:22:40,439
Speaker 1: was a system update that took way longer than I

344
00:22:40,480 --> 00:22:42,639
Speaker 1: thought it was going to. Okay, we'll just start it

345
00:22:42,640 --> 00:22:47,480
Speaker 1: a little later. You come here every single day because

346
00:22:47,760 --> 00:22:51,000
Speaker 1: you hopefully are entertained by the things we do. We

347
00:22:51,119 --> 00:22:54,920
Speaker 1: have some fun. We play things like Paul from Madison

348
00:22:55,040 --> 00:22:59,439
Speaker 1: driving all the way to Minneapolis to stand guard outside

349
00:22:59,440 --> 00:23:01,760
Speaker 1: of the Mexican restaurant because he just sort of assumes

350
00:23:01,800 --> 00:23:06,160
Speaker 1: that there are a ton of illegals inside. Seriously, can

351
00:23:06,200 --> 00:23:08,320
Speaker 1: you possibly get more racist than that? Well, there's a

352
00:23:08,359 --> 00:23:12,880
Speaker 1: Mexican restaurant, must be a bunch of border crossers who

353
00:23:12,920 --> 00:23:17,320
Speaker 1: are back there in the kitchen. It's like, come on,

354
00:23:18,920 --> 00:23:23,280
Speaker 1: does he go to like a Japanese restaurant as a

355
00:23:23,320 --> 00:23:26,680
Speaker 1: sushi place for help with his math homework? I mean,

356
00:23:26,720 --> 00:23:32,600
Speaker 1: how much more stereotypical can we get here? People like

357
00:23:32,720 --> 00:23:37,639
Speaker 1: that will literally never hear the stories that I break.

358
00:23:38,160 --> 00:23:42,800
Speaker 1: They'll never see things like CBS's report that the ice

359
00:23:42,880 --> 00:23:47,840
Speaker 1: agent was in fact very seriously injured by Renee Good

360
00:23:49,240 --> 00:23:52,840
Speaker 1: his injuries. Now, we could all see him being struck

361
00:23:52,920 --> 00:23:56,639
Speaker 1: by the car, But there's a very strong likelihood not

362
00:23:56,760 --> 00:23:59,560
Speaker 1: one of those Madison East or Madison West students ever

363
00:23:59,600 --> 00:24:03,800
Speaker 1: saw that video because they're not going to shows like this,

364
00:24:04,040 --> 00:24:08,439
Speaker 1: They're not actively seeking out news networks like Fox or

365
00:24:08,560 --> 00:24:12,680
Speaker 1: Newsmax and most importantly, where all of them are getting

366
00:24:12,680 --> 00:24:15,840
Speaker 1: their news. And this is something that I don't think

367
00:24:15,840 --> 00:24:19,760
Speaker 1: a lot of the older generations, the boomers, the exers,

368
00:24:20,400 --> 00:24:23,960
Speaker 1: older millennials like myself fully understand. Even though we live

369
00:24:24,119 --> 00:24:30,360
Speaker 1: in this world, news is now tailored to you based

370
00:24:30,400 --> 00:24:35,000
Speaker 1: on your browsing habits, your scrolling habits, and it is

371
00:24:35,200 --> 00:24:39,640
Speaker 1: all focused on what it is. The algorithm thinks, what

372
00:24:39,680 --> 00:24:42,960
Speaker 1: it is the programmers of those various social media networks

373
00:24:43,080 --> 00:24:45,840
Speaker 1: think will get you to be on their platform for

374
00:24:46,080 --> 00:24:49,960
Speaker 1: the longest, so that you'll consume the most advertisements that

375
00:24:50,040 --> 00:24:53,879
Speaker 1: pop up on your feed. Those Madison East and Madison

376
00:24:53,920 --> 00:24:56,720
Speaker 1: West High School students and before them, the Wahwatosa East

377
00:24:56,880 --> 00:25:01,320
Speaker 1: students who walked out to protest ICE. They're getting almost

378
00:25:01,320 --> 00:25:06,960
Speaker 1: one hundred percent of their news from TikTok, maybe Instagram reels,

379
00:25:07,720 --> 00:25:11,879
Speaker 1: but largely TikTok. They're certainly not getting it from someone

380
00:25:12,000 --> 00:25:15,560
Speaker 1: like me or on the left, someone like Rachel Maddow.

381
00:25:17,000 --> 00:25:20,840
Speaker 1: They're getting it from basically random people who happen to

382
00:25:20,880 --> 00:25:25,160
Speaker 1: pop up in their feeds because of what the algorithm

383
00:25:25,320 --> 00:25:29,359
Speaker 1: has decided is something that they want to see. My

384
00:25:29,440 --> 00:25:31,720
Speaker 1: wife has been on this for a long time, and

385
00:25:31,720 --> 00:25:35,840
Speaker 1: I think she is absolutely right. As a result of that,

386
00:25:38,320 --> 00:25:43,560
Speaker 1: someone who goes out and protests ICE, and you also

387
00:25:43,760 --> 00:25:48,000
Speaker 1: have members of the traditional media who now see it

388
00:25:48,119 --> 00:25:52,880
Speaker 1: as their job to keep the truth from people if

389
00:25:52,960 --> 00:25:57,640
Speaker 1: the truth actually contradicts whatever the left wing prevailing narrative

390
00:25:57,720 --> 00:26:05,800
Speaker 1: has to be for I'll test this what killed George Floyd.

391
00:26:07,119 --> 00:26:11,600
Speaker 1: Did George Floyd die of either suffocation because of the

392
00:26:11,680 --> 00:26:15,440
Speaker 1: knee on his neck or asphyxiation, or did he die

393
00:26:15,520 --> 00:26:20,080
Speaker 1: from a loss of blood to the brain. He did not.

394
00:26:21,880 --> 00:26:26,600
Speaker 1: Did George Floyd die as a direct result of the

395
00:26:26,720 --> 00:26:32,159
Speaker 1: knee on his neck, He did not. He died because

396
00:26:32,200 --> 00:26:35,440
Speaker 1: he had a lethal amount of fetanol in his system.

397
00:26:36,240 --> 00:26:39,520
Speaker 1: And yes, he died because he was so agitated while

398
00:26:39,560 --> 00:26:44,320
Speaker 1: being in that restraint hold with the knee on his neck,

399
00:26:44,440 --> 00:26:47,200
Speaker 1: which actually was kind of more across his shoulder blades.

400
00:26:47,760 --> 00:26:50,280
Speaker 1: He was so agitated that he had a massive heart

401
00:26:50,280 --> 00:26:55,719
Speaker 1: attack and died. Nobody knows that, well, at least people

402
00:26:55,760 --> 00:26:59,600
Speaker 1: who have been protesting and outraged over George Floyd's supposed

403
00:26:59,720 --> 00:27:06,399
Speaker 1: murder for years don't know that. How many people still

404
00:27:06,440 --> 00:27:10,960
Speaker 1: believe from going on twelve years ago now, hands up,

405
00:27:11,480 --> 00:27:16,480
Speaker 1: don't shoot. Ferguson, Missouri. Michael Brown, his friends who were

406
00:27:16,520 --> 00:27:18,879
Speaker 1: with him when he was trying to steal the gun

407
00:27:18,920 --> 00:27:25,159
Speaker 1: from a police officer in Ferguson, Missouri, told the news

408
00:27:25,720 --> 00:27:27,399
Speaker 1: that he had his hands up and he was saying

409
00:27:27,480 --> 00:27:31,320
Speaker 1: don't shoot when the officer just opened fire on him.

410
00:27:31,359 --> 00:27:35,240
Speaker 1: It was a total lie, and it was very quickly disproven.

411
00:27:36,200 --> 00:27:39,439
Speaker 1: Even the Obama Justice Department had no choice but to

412
00:27:40,080 --> 00:27:43,800
Speaker 1: acquit the officer drop all charges because it was obvious

413
00:27:44,200 --> 00:27:47,920
Speaker 1: that Michael Brown was not a gentle giant. He did

414
00:27:48,320 --> 00:27:50,359
Speaker 1: not have his hands up, and he most certainly was

415
00:27:50,400 --> 00:27:53,200
Speaker 1: not begging the officer not to shoot. He was attempting

416
00:27:53,240 --> 00:27:56,560
Speaker 1: to steal the officer's gun. How many people still believe

417
00:27:56,600 --> 00:28:00,119
Speaker 1: hands up, don't shoot? How many people still believe that

418
00:28:00,000 --> 00:28:07,280
Speaker 1: that Donald Trump said there were very fine people in Charlottesville.

419
00:28:09,000 --> 00:28:13,880
Speaker 1: The great Scott Adams Gilbert, creator, conservative influencer on social

420
00:28:13,920 --> 00:28:18,320
Speaker 1: media and in podcasts, just passed away yesterday. He spent

421
00:28:18,520 --> 00:28:24,120
Speaker 1: years of his life debunking the Charlottesville very fine people hoax.

422
00:28:24,160 --> 00:28:26,840
Speaker 1: In fact, Trump in that speech said, and I'm not

423
00:28:26,960 --> 00:28:29,639
Speaker 1: talking about the neo Nazis, because they could be They

424
00:28:29,680 --> 00:28:32,960
Speaker 1: should be condemned totally. He said that that was a

425
00:28:32,960 --> 00:28:35,960
Speaker 1: direct quote. He said. There were other people who showed

426
00:28:36,040 --> 00:28:39,000
Speaker 1: up thinking they were protesting against the tearing down of

427
00:28:39,040 --> 00:28:41,120
Speaker 1: the Thomas Jefferson statue. Maybe it was the Robert E.

428
00:28:41,200 --> 00:28:44,080
Speaker 1: Lee statue, whatever statue they were going to tear down.

429
00:28:46,200 --> 00:28:49,480
Speaker 1: How many people believe it? How many people believe that

430
00:28:49,680 --> 00:28:59,040
Speaker 1: the Hunter Biden laptop was Russian disinformation? A lot they

431
00:28:59,120 --> 00:29:05,160
Speaker 1: believe that because they are actively encouraged to keep believing lies,

432
00:29:05,200 --> 00:29:08,080
Speaker 1: and they are never They live in a bubble, an

433
00:29:08,120 --> 00:29:13,160
Speaker 1: algorithmic bubble that never shows them the truth. That ladies

434
00:29:13,200 --> 00:29:15,720
Speaker 1: and gentlemen is at the risk of sounding way too

435
00:29:15,760 --> 00:29:18,200
Speaker 1: self serving here. That's why shows like this one are

436
00:29:18,240 --> 00:29:20,400
Speaker 1: so important. That's why Ben Yatt and Jason Gotch and

437
00:29:20,440 --> 00:29:23,400
Speaker 1: Mark Belly and Jay Weber and Vicky McKennon everybody else

438
00:29:23,960 --> 00:29:27,320
Speaker 1: in this state who works so hard to provide a

439
00:29:27,400 --> 00:29:32,440
Speaker 1: counter narrative and to try desperately to bring you the

440
00:29:32,440 --> 00:29:35,320
Speaker 1: facts about what is going on in this state. That's

441
00:29:35,360 --> 00:29:39,160
Speaker 1: why we do what we do. When we come back,

442
00:29:40,240 --> 00:29:54,360
Speaker 1: Racine County's emergency management coordinator goes crazy over ice classical

443
00:29:54,480 --> 00:29:59,960
Speaker 1: conservatism with contemporary style. It is the Dan o'dunnell Show.

444
00:30:00,000 --> 00:30:03,000
Speaker 1: We're going to hold off on that exclusive story on

445
00:30:03,120 --> 00:30:09,000
Speaker 1: the Fraternal Order of Police, just absolutely blasting Milwaukee's mayor

446
00:30:09,080 --> 00:30:11,680
Speaker 1: until the four o'clock hour. I'm taking a look at

447
00:30:11,680 --> 00:30:14,440
Speaker 1: the clock and realizing that I'm going to need a

448
00:30:14,480 --> 00:30:16,040
Speaker 1: little bit more time because I do want to get

449
00:30:16,040 --> 00:30:18,480
Speaker 1: to the unhinged liberal of the day coming up a

450
00:30:18,480 --> 00:30:20,680
Speaker 1: little later. Right now, let's go to how about we

451
00:30:20,720 --> 00:30:23,560
Speaker 1: talk with Josh and o'connam walk up next on The

452
00:30:23,640 --> 00:30:26,640
Speaker 1: Dan o'donald Show. Good afternoon, Josh, how you doing, my friend?

453
00:30:27,760 --> 00:30:29,240
Speaker 10: I'm doing well, then, good afternoon.

454
00:30:30,080 --> 00:30:30,920
Speaker 1: What's going on, sir?

455
00:30:31,960 --> 00:30:32,080
Speaker 13: Uh?

456
00:30:32,440 --> 00:30:33,760
Speaker 11: Well, with the.

457
00:30:33,720 --> 00:30:36,160
Speaker 10: Recent events that have happened, you could say over like

458
00:30:36,200 --> 00:30:39,000
Speaker 10: the past decade, and when you were reading your comments

459
00:30:39,000 --> 00:30:41,840
Speaker 10: from like your Facebook messenger, I think that was on Monday.

460
00:30:41,640 --> 00:30:45,880
Speaker 1: Yeah, maybe yesterday, just like the vile.

461
00:30:45,680 --> 00:30:48,440
Speaker 10: Comments between like the left and the right, and just

462
00:30:48,480 --> 00:30:50,400
Speaker 10: like the sneering back and forth.

463
00:30:50,840 --> 00:30:53,600
Speaker 1: Yeah, how how how does this end?

464
00:30:53,680 --> 00:30:56,640
Speaker 10: How does this play out? Will we ever regain civility?

465
00:30:58,400 --> 00:31:00,840
Speaker 1: That is a great question, Josh. You are making me

466
00:31:00,920 --> 00:31:04,680
Speaker 1: think way too deeply and philosophically here on a Wednesday

467
00:31:04,720 --> 00:31:08,040
Speaker 1: afternoon where I just wanted to play silly soundbites of

468
00:31:08,080 --> 00:31:12,080
Speaker 1: that idiot going to the Mexican restaurant to Minneapolis. First

469
00:31:12,120 --> 00:31:15,760
Speaker 1: of all, we do have to accept that a whole

470
00:31:15,760 --> 00:31:18,600
Speaker 1: lot of the vitriol is coming from one side to

471
00:31:18,640 --> 00:31:23,080
Speaker 1: the other. Okay, h oh, it looks like Josh, hug up.

472
00:31:23,120 --> 00:31:24,640
Speaker 1: That's fine, Josh, I kind of want to keep you

473
00:31:24,680 --> 00:31:27,320
Speaker 1: on to talk to you. That's just fine. I'll answer

474
00:31:27,360 --> 00:31:32,760
Speaker 1: your question of the best of my abilities. You typically

475
00:31:32,920 --> 00:31:39,120
Speaker 1: do not get nearly the just absolute rage.

476
00:31:39,680 --> 00:31:39,880
Speaker 10: You know.

477
00:31:40,520 --> 00:31:45,400
Speaker 1: It's not to say that right wingers aren't angry people too,

478
00:31:45,480 --> 00:31:50,360
Speaker 1: because they most certainly are. You'll get angry threatening notes,

479
00:31:50,440 --> 00:31:55,920
Speaker 1: death threats, that sort of thing, folks. And I say

480
00:31:55,920 --> 00:31:58,000
Speaker 1: this not to be like woe is me or anything

481
00:31:58,080 --> 00:32:02,760
Speaker 1: like that, but produce. Arman was complaining to me about

482
00:32:03,400 --> 00:32:06,240
Speaker 1: a mutual friend of ours who has been saying, Armon,

483
00:32:06,280 --> 00:32:08,959
Speaker 1: you shouldn't post that on XRA, you should spend your

484
00:32:08,960 --> 00:32:11,920
Speaker 1: time better. I'm like, oh, you, sweet summer child, you

485
00:32:11,960 --> 00:32:14,920
Speaker 1: should see what people are posting to me. Do you

486
00:32:14,960 --> 00:32:17,600
Speaker 1: realize I actually have and this is sort of a

487
00:32:17,640 --> 00:32:22,400
Speaker 1: sad commentary about where we are, Josh, I actually have.

488
00:32:22,800 --> 00:32:28,600
Speaker 1: I sort of group death threats that I get into

489
00:32:28,640 --> 00:32:33,520
Speaker 1: serious ones and not serious ones. Whenever I have a

490
00:32:33,680 --> 00:32:36,520
Speaker 1: post go viral, which I define as more than two

491
00:32:36,560 --> 00:32:41,440
Speaker 1: thousand retweets or more than say a thousand shares on Facebook,

492
00:32:42,000 --> 00:32:45,560
Speaker 1: I will get some of the absolute worst comments you

493
00:32:45,560 --> 00:32:51,800
Speaker 1: could imagine kill yourself. There was one that was particularly

494
00:32:51,880 --> 00:32:58,800
Speaker 1: scary last year. There was one that took a picture

495
00:32:59,480 --> 00:33:01,640
Speaker 1: or I think it was a Google Maps picture of

496
00:33:01,680 --> 00:33:04,200
Speaker 1: the house where we were staying while we were waiting

497
00:33:04,200 --> 00:33:07,160
Speaker 1: for our house to be built, and he said I

498
00:33:07,200 --> 00:33:10,120
Speaker 1: am going to pay Then he said my wife's name

499
00:33:10,240 --> 00:33:15,880
Speaker 1: a visit. That one actually did get a call to

500
00:33:15,960 --> 00:33:21,800
Speaker 1: my FBI guy. I take that stuff very seriously, but

501
00:33:21,840 --> 00:33:24,160
Speaker 1: if it's just one of those like hey, kill yourself,

502
00:33:24,200 --> 00:33:31,960
Speaker 1: you nazi fascist. I'm called a pedophile pretty regularly do

503
00:33:34,040 --> 00:33:37,560
Speaker 1: I say things like that? That bit that I did

504
00:33:37,800 --> 00:33:40,320
Speaker 1: two days ago, that was literally me opening up my

505
00:33:40,400 --> 00:33:45,000
Speaker 1: Facebook messenger for the first time in a couple of weeks.

506
00:33:45,040 --> 00:33:48,320
Speaker 1: In fact, I ran into an old friend and he's like, dude,

507
00:33:48,400 --> 00:33:50,440
Speaker 1: what are you just too big time to get back

508
00:33:50,480 --> 00:33:53,440
Speaker 1: to me on Facebook messager. I'm like, my friend, I

509
00:33:53,600 --> 00:33:56,280
Speaker 1: check that maybe once a week. I'm sorry, there is

510
00:33:56,320 --> 00:33:59,240
Speaker 1: a whole I think I may not be able to

511
00:33:59,280 --> 00:34:06,160
Speaker 1: have my face book messages open anymore because, yikes, we

512
00:34:06,240 --> 00:34:09,279
Speaker 1: have to accept the fact that a whole lot of

513
00:34:09,320 --> 00:34:13,960
Speaker 1: this and a whole lot of the deranged, just truly

514
00:34:14,280 --> 00:34:20,839
Speaker 1: unhinged rhetoric is coming from one side. There's a big

515
00:34:20,880 --> 00:34:25,799
Speaker 1: difference between. You know, Tim Walls is a buffoon and

516
00:34:26,400 --> 00:34:30,279
Speaker 1: Donald Trump is hitler, and we need to resist him

517
00:34:30,400 --> 00:34:34,719
Speaker 1: violently if necessary. Folks. I keep going back to, and

518
00:34:35,080 --> 00:34:38,960
Speaker 1: I have done so for seven months now, to a

519
00:34:39,120 --> 00:34:46,600
Speaker 1: truly stunningaxios dot com article about Democrat congressmen on their

520
00:34:46,640 --> 00:34:49,120
Speaker 1: summer break and they were going back into district and

521
00:34:49,160 --> 00:34:53,520
Speaker 1: holding town hall meetings, and Axios talk to about two

522
00:34:53,640 --> 00:34:59,800
Speaker 1: dozen different Dems and they said their liberal base, they're voters.

523
00:35:00,480 --> 00:35:03,719
Speaker 1: We're saying you need to do more, you need to

524
00:35:03,840 --> 00:35:06,080
Speaker 1: be willing to and this stuck with me, and it's

525
00:35:06,120 --> 00:35:08,840
Speaker 1: stuck with me ever since the shooting of Renee Good.

526
00:35:09,640 --> 00:35:12,360
Speaker 1: You need to be willing to take a bullet to

527
00:35:12,480 --> 00:35:19,719
Speaker 1: protest ice, folks. That's not normal. That's not a rational

528
00:35:19,840 --> 00:35:22,880
Speaker 1: thing to say or to think. It's not a healthy

529
00:35:22,920 --> 00:35:28,400
Speaker 1: thing to say or think. Are there conservative leaders and

530
00:35:28,520 --> 00:35:34,439
Speaker 1: influencers out there? Am I telling you to go out

531
00:35:34,480 --> 00:35:40,800
Speaker 1: there and be willing to take a bullet opposing Tony Evers? Folks?

532
00:35:40,840 --> 00:35:45,720
Speaker 1: The four hundred year property tax veto is so evil,

533
00:35:46,040 --> 00:35:49,319
Speaker 1: it's so Nazi like that you need to put your

534
00:35:49,360 --> 00:35:51,960
Speaker 1: bodies on the line protesting it. You need to be

535
00:35:52,040 --> 00:35:57,120
Speaker 1: willing to get shot. How insane does that sound? Truly?

536
00:35:58,760 --> 00:36:02,160
Speaker 1: If I was here three hours a day telling you

537
00:36:02,800 --> 00:36:07,399
Speaker 1: to do things that put your life in danger, well,

538
00:36:07,400 --> 00:36:12,280
Speaker 1: first of all, iHeartMedia is actually a shockingly responsible company.

539
00:36:13,200 --> 00:36:17,080
Speaker 1: I wouldn't be on for three hours a day because

540
00:36:17,080 --> 00:36:19,759
Speaker 1: that would be a truly dangerous use of my platform.

541
00:36:22,360 --> 00:36:26,279
Speaker 1: I'm out here trying to tell you, yes, I you know,

542
00:36:26,600 --> 00:36:30,200
Speaker 1: call people idiots because a whole lot of people are idiots.

543
00:36:31,600 --> 00:36:35,040
Speaker 1: That's about the extent of it. I make jokes. I

544
00:36:35,280 --> 00:36:40,640
Speaker 1: try to report the truth, but to the other side

545
00:36:40,680 --> 00:36:42,880
Speaker 1: because I say things they don't like. I'm a fascist,

546
00:36:43,320 --> 00:36:47,839
Speaker 1: I'm a Nazi, I'm a pedophile. I deserve to die.

547
00:36:50,160 --> 00:36:53,040
Speaker 1: Let's not forget. One of the most successful people in

548
00:36:53,120 --> 00:36:57,800
Speaker 1: this country who did what I do, was literally shot

549
00:36:57,880 --> 00:37:02,000
Speaker 1: to death five months ago. He was shot to death

550
00:37:02,320 --> 00:37:08,719
Speaker 1: while trying to debate he was killed. Do I think

551
00:37:08,760 --> 00:37:15,719
Speaker 1: we can come together and sing Kumbayah? Frankly, with a

552
00:37:15,719 --> 00:37:19,120
Speaker 1: lot of the people who I truly believe are mentally ill,

553
00:37:19,440 --> 00:37:25,279
Speaker 1: are deeply dark, radicalized people who are driven to do

554
00:37:25,560 --> 00:37:32,440
Speaker 1: increasingly unhinged violent things by people in positions of power

555
00:37:32,600 --> 00:37:37,200
Speaker 1: and impositions of influence who should know otherwise. No, I, frankly,

556
00:37:37,520 --> 00:37:39,719
Speaker 1: I don't think there is communion with that. I don't

557
00:37:39,719 --> 00:37:43,719
Speaker 1: think there is the ability to come together and have intelligent,

558
00:37:43,920 --> 00:37:47,120
Speaker 1: meaningful discourse with that. Now, when it comes to I

559
00:37:47,560 --> 00:37:49,960
Speaker 1: do a Newsmax panel with a guy by the day

560
00:37:50,000 --> 00:37:55,200
Speaker 1: of Robin Biro. He's an Obama strategist, he's a Democrat

561
00:37:55,320 --> 00:38:01,680
Speaker 1: strategist with someone like him, absolutely absolutely, it's a thought intelligent, kind,

562
00:38:01,960 --> 00:38:06,399
Speaker 1: decent human being. As much as I disagree with him

563
00:38:06,400 --> 00:38:09,799
Speaker 1: here in Wisconsin, I think Dan Schaeffer, who does a

564
00:38:09,800 --> 00:38:14,279
Speaker 1: blog called the Discombobulationarreya or Recombobulation Area or something like that,

565
00:38:14,800 --> 00:38:17,839
Speaker 1: I think he is a very thoughtful writer. I disagree

566
00:38:17,880 --> 00:38:20,279
Speaker 1: with him, but there's room for debate. One of my

567
00:38:20,360 --> 00:38:24,759
Speaker 1: good childhood friends is Joseph Pecky, who's been in Democrat

568
00:38:24,800 --> 00:38:28,759
Speaker 1: circles forever. I love Joe like a brother. I think

569
00:38:28,760 --> 00:38:34,920
Speaker 1: he's a fantastic guy. Look at the other radio station

570
00:38:35,040 --> 00:38:38,120
Speaker 1: down there, it's Scaffiti. I think he's a wonderful guy.

571
00:38:38,160 --> 00:38:40,560
Speaker 1: He disagrees with me on side. I think he still

572
00:38:40,840 --> 00:38:46,560
Speaker 1: technically calls himself a Republican. So long as people are

573
00:38:46,600 --> 00:38:51,239
Speaker 1: willing to look past politics, yeah, I think.

574
00:38:51,239 --> 00:38:51,279
Speaker 3: So.

575
00:38:51,440 --> 00:38:55,399
Speaker 1: You know what, I'm gonna discuss that in a little

576
00:38:55,400 --> 00:38:59,160
Speaker 1: bit greater depth. Producer Arman, we're running up. We're gonna

577
00:38:59,160 --> 00:39:01,440
Speaker 1: have to backtime this last break, so we're gonna go

578
00:39:01,440 --> 00:39:04,200
Speaker 1: to break and then right to the news, then the

579
00:39:04,280 --> 00:39:07,239
Speaker 1: daily Trump Day. Josh, great call, because this really got

580
00:39:07,239 --> 00:39:10,319
Speaker 1: me thinking a little bit deeper about that theory. My

581
00:39:10,360 --> 00:39:12,200
Speaker 1: wife has put out that we really do as as

582
00:39:12,200 --> 00:39:14,200
Speaker 1: Scott Adams said a number of people that brought this up.

583
00:39:14,239 --> 00:39:17,120
Speaker 1: Scott Adams said, it's two movies on one screen. We'll

584
00:39:17,160 --> 00:39:19,400
Speaker 1: sort of explore more of this, plus a couple of

585
00:39:19,440 --> 00:39:25,560
Speaker 1: exclusive stories to break all coming up. Don't worry, folks,

586
00:39:25,600 --> 00:39:28,640
Speaker 1: we will get to the unhinged liberal of the day.

587
00:39:28,800 --> 00:39:31,640
Speaker 1: We skipped it because I was just sort of thinking

588
00:39:31,640 --> 00:39:34,719
Speaker 1: about a great call from was it Josh and o'connawak

589
00:39:34,800 --> 00:39:38,279
Speaker 1: or Jacob I apologize Josh, Josh, Josh and o'connamwack who said,

590
00:39:38,360 --> 00:39:43,880
Speaker 1: will we be able to ever talk civilly left and

591
00:39:43,960 --> 00:39:46,560
Speaker 1: right again? Yes, and we do all the time. It's

592
00:39:47,719 --> 00:39:50,840
Speaker 1: a lot of people. Hell, there are people in mixed

593
00:39:50,920 --> 00:39:55,680
Speaker 1: marriages with a say, conservative husband, liberal wife. You know.

594
00:39:55,840 --> 00:39:59,040
Speaker 1: The one that always blew my mind was my dear

595
00:39:59,120 --> 00:40:03,799
Speaker 1: friend Jeff Wack and his first wife, who passed away

596
00:40:03,880 --> 00:40:07,560
Speaker 1: some years ago. She was very, very politically to the left.

597
00:40:07,600 --> 00:40:10,440
Speaker 1: And obviously Jeff, who was on TMJ for many years,

598
00:40:10,480 --> 00:40:15,239
Speaker 1: he was a US attorney ran for Attorney General, very

599
00:40:15,360 --> 00:40:21,160
Speaker 1: conservative guy, happily retired, by the way, happily remarried his

600
00:40:21,760 --> 00:40:25,600
Speaker 1: first wife. I have not met Fran his current wife.

601
00:40:26,120 --> 00:40:29,799
Speaker 1: I'm told she's absolutely lovely. His wife who passed away,

602
00:40:29,920 --> 00:40:33,759
Speaker 1: was just the sweetest woman in the world. They did

603
00:40:33,800 --> 00:40:37,680
Speaker 1: not see eye to eye on politics. Somehow they made

604
00:40:37,680 --> 00:40:40,239
Speaker 1: a very happy marriage work for many, many years, and

605
00:40:40,280 --> 00:40:43,800
Speaker 1: a whole lot of you folks do too. It's always possible.

606
00:40:44,520 --> 00:40:49,640
Speaker 1: It's just that politics has away. Politics is so personal, right,

607
00:40:49,800 --> 00:40:55,399
Speaker 1: It's so And this is why I love politics. It's

608
00:40:55,440 --> 00:40:59,239
Speaker 1: because it's a window into somebody's soul. It's literally the

609
00:40:59,280 --> 00:41:04,640
Speaker 1: best sort of way to see how somebody views the world, right, Like,

610
00:41:04,719 --> 00:41:08,920
Speaker 1: what is there operating? What is their guiding philosophy, what

611
00:41:09,120 --> 00:41:13,640
Speaker 1: makes them tick, what makes them think, what motivates their actions? Like,

612
00:41:14,080 --> 00:41:17,400
Speaker 1: to me, politics is great and politics is fun, but

613
00:41:17,560 --> 00:41:22,560
Speaker 1: what's really fascinating is the study of human nature. What's

614
00:41:22,600 --> 00:41:28,160
Speaker 1: really fascinating to me is I've always been into psychology, sociology, psychiatry.

615
00:41:28,160 --> 00:41:31,120
Speaker 1: It's just always been fascinating. I think why I didn't

616
00:41:31,120 --> 00:41:33,120
Speaker 1: go into those is because I sucked at math and

617
00:41:33,160 --> 00:41:35,440
Speaker 1: science when I was in school, and it was always

618
00:41:35,560 --> 00:41:38,759
Speaker 1: very very good at English language arts, reading, that sort

619
00:41:38,760 --> 00:41:42,360
Speaker 1: of thing. So I sort of gravitated towards the study

620
00:41:42,400 --> 00:41:46,040
Speaker 1: of how societies work, which is what I consider the

621
00:41:46,160 --> 00:41:51,400
Speaker 1: law to be, the study of what makes America. Constitutional

622
00:41:51,440 --> 00:41:58,319
Speaker 1: law is the study of American society as it's constructed

623
00:41:58,440 --> 00:42:03,000
Speaker 1: by the rules that govern it and when you put aside.

624
00:42:03,280 --> 00:42:05,839
Speaker 1: But what happens is is so many people don't think.

625
00:42:05,840 --> 00:42:09,400
Speaker 1: And a lot of times I'm guilty of this too.

626
00:42:09,680 --> 00:42:11,279
Speaker 1: You know, you get a couple of beers in you

627
00:42:11,360 --> 00:42:15,040
Speaker 1: and you start drunkenly posting on Facebook. Everybody's done it,

628
00:42:15,719 --> 00:42:19,839
Speaker 1: the drunk tweeting, and you say something you don't mean,

629
00:42:19,920 --> 00:42:24,560
Speaker 1: you say something in anger. A lot of people don't

630
00:42:24,560 --> 00:42:30,040
Speaker 1: think logically because when we are confronted with a different worldview,

631
00:42:30,160 --> 00:42:33,080
Speaker 1: nobody likes to be told they're wrong. And in fact,

632
00:42:33,200 --> 00:42:38,040
Speaker 1: our brains actually go through a defensive process when we

633
00:42:38,080 --> 00:42:42,600
Speaker 1: are presented with information that contradicts our previously held worldview.

634
00:42:42,640 --> 00:42:48,680
Speaker 1: It's called cognitive dissonance, and we actually will seek out information.

635
00:42:49,360 --> 00:42:53,719
Speaker 1: We actively seek out information that confirms our beliefs. It's

636
00:42:53,800 --> 00:42:55,880
Speaker 1: one of the best things you can do. And what

637
00:42:56,000 --> 00:42:58,839
Speaker 1: I tell anybody and everybody who's well, you know, how

638
00:42:58,840 --> 00:43:01,160
Speaker 1: do you get that are at arguing? How do you

639
00:43:01,719 --> 00:43:06,760
Speaker 1: have to seek out information that challenges your priors, your beliefs,

640
00:43:07,560 --> 00:43:11,000
Speaker 1: and you have to be able to defeat what I

641
00:43:11,000 --> 00:43:15,280
Speaker 1: would always do is think about the very best argument

642
00:43:15,400 --> 00:43:17,560
Speaker 1: that my opponent can make. We have a tendency, because

643
00:43:17,560 --> 00:43:19,719
Speaker 1: of cognitive dissonance, we build up what are known as

644
00:43:19,760 --> 00:43:24,520
Speaker 1: straw man arguments, where we build up what are our

645
00:43:24,600 --> 00:43:28,120
Speaker 1: sort of caricature of our opponent's argument is going to be,

646
00:43:29,000 --> 00:43:31,040
Speaker 1: and then it's much easier for us to defeat, and

647
00:43:31,080 --> 00:43:34,000
Speaker 1: then we knock down the straw man Well, it's not

648
00:43:34,200 --> 00:43:39,680
Speaker 1: actually the argument. The left's best argument when it comes

649
00:43:39,760 --> 00:43:45,360
Speaker 1: to say, the ice surge in Minneapolis, very best argument

650
00:43:45,440 --> 00:43:50,359
Speaker 1: that they can make is that it's not necessary that

651
00:43:51,000 --> 00:43:56,960
Speaker 1: ice is far better served going stealthily and quietly into

652
00:43:57,040 --> 00:44:01,319
Speaker 1: neighborhoods or into areas and trying to take out the

653
00:44:01,360 --> 00:44:04,799
Speaker 1: most dangerous people in this country. They don't need a

654
00:44:04,880 --> 00:44:10,800
Speaker 1: massive show of force because all it's doing is unnecessarily

655
00:44:10,880 --> 00:44:16,319
Speaker 1: scaring people and riling up the crazies. You notice I

656
00:44:16,400 --> 00:44:20,279
Speaker 1: was able to make that argument very concisely, very coherently,

657
00:44:20,360 --> 00:44:27,480
Speaker 1: without calling anybody the modern day gestapo. We have a

658
00:44:27,560 --> 00:44:29,840
Speaker 1: tendency to not be able to think, now what I

659
00:44:29,880 --> 00:44:34,600
Speaker 1: would counter that would be okay, Well, we tried to

660
00:44:34,719 --> 00:44:40,480
Speaker 1: do that by slipping ice agents into courthouses and into jails.

661
00:44:41,160 --> 00:44:43,800
Speaker 1: When the worst of the worst of the worst illegal

662
00:44:43,840 --> 00:44:46,640
Speaker 1: immigrant criminals are taken into custody, we know there's not

663
00:44:46,719 --> 00:44:48,880
Speaker 1: going to be a violent confrontation because in a courtroom

664
00:44:49,000 --> 00:44:52,080
Speaker 1: or in a jail, they're unarmed, and local authorities simply

665
00:44:52,160 --> 00:44:55,160
Speaker 1: partner with ICE and they ship these people off to

666
00:44:55,200 --> 00:44:58,560
Speaker 1: be deported. That doesn't happen anymore. In fact, Tom Homan,

667
00:44:58,680 --> 00:45:02,359
Speaker 1: America's borders are actual talked about this. He went out

668
00:45:02,360 --> 00:45:04,920
Speaker 1: and spoke outside of the White House today to report him.

669
00:45:04,920 --> 00:45:07,160
Speaker 13: President Trump made his promise to American people, We're going

670
00:45:07,200 --> 00:45:10,040
Speaker 13: to find these criminals and make this America safe again.

671
00:45:10,080 --> 00:45:11,719
Speaker 13: So if they don't want us in the jail, we're

672
00:45:11,719 --> 00:45:13,279
Speaker 13: going to go in the community. And the difference is

673
00:45:13,960 --> 00:45:17,040
Speaker 13: in places is not a sanctuary. One agent can walk

674
00:45:17,080 --> 00:45:20,319
Speaker 13: into a jail and arrest one criminal illego alien, but

675
00:45:20,400 --> 00:45:22,320
Speaker 13: when you've reac in the community, now we've got to

676
00:45:22,400 --> 00:45:24,120
Speaker 13: sign the whole team, because we got to arrest the

677
00:45:24,200 --> 00:45:27,720
Speaker 13: man their turf, the access have access who knows what weapons.

678
00:45:28,360 --> 00:45:30,400
Speaker 13: It makes it dangerous for the officer, makes it dangerous

679
00:45:30,440 --> 00:45:32,480
Speaker 13: for the alien, certainly makes it dangerous for the community.

680
00:45:32,520 --> 00:45:34,560
Speaker 13: So if miny Aphis wants to help, like I saw

681
00:45:34,640 --> 00:45:36,040
Speaker 13: Mayor OFFI doing an interview this morning.

682
00:45:36,920 --> 00:45:38,000
Speaker 1: Let us in your damned jail.

683
00:45:38,200 --> 00:45:42,720
Speaker 13: What's the downside of letting a federal law enforcement officer

684
00:45:42,719 --> 00:45:45,480
Speaker 13: with immigration authority talked to an illego alien that you

685
00:45:45,640 --> 00:45:48,400
Speaker 13: already locked up and putting in jail cell. It's ridiculous

686
00:45:48,440 --> 00:45:49,400
Speaker 13: that it pushing back on that.

687
00:45:51,080 --> 00:45:55,240
Speaker 1: Couldn't have said it any better myself. What possible reason

688
00:45:55,280 --> 00:45:58,120
Speaker 1: do you have to you know the person who is

689
00:45:58,320 --> 00:46:03,920
Speaker 1: in your jail is dangerous, Why don't you want them

690
00:46:04,000 --> 00:46:06,680
Speaker 1: removed from your community, removed from their country, removed from

691
00:46:06,719 --> 00:46:09,160
Speaker 1: a country that they have no right to be in,

692
00:46:10,160 --> 00:46:13,799
Speaker 1: that they have no lawful authority to be in. If

693
00:46:13,800 --> 00:46:18,759
Speaker 1: there were no sanctuary cities, there's no need for ICE surges,

694
00:46:19,960 --> 00:46:23,120
Speaker 1: And in fact, ICE has been doing pretty much the

695
00:46:23,239 --> 00:46:28,880
Speaker 1: same thing since its inception. Before that, we have always

696
00:46:29,080 --> 00:46:35,200
Speaker 1: had law enforcement enforcing illegal immigration within the interior of

697
00:46:35,200 --> 00:46:39,360
Speaker 1: the United States. I would also pause it that we

698
00:46:39,520 --> 00:46:43,680
Speaker 1: did not need massive surges of ICE agents to do

699
00:46:43,840 --> 00:46:50,240
Speaker 1: mass deportations before the Biden Harris administration allowed in upwards

700
00:46:50,239 --> 00:46:54,520
Speaker 1: of ten to fifteen million new illegal aliens into the

701
00:46:54,520 --> 00:46:57,320
Speaker 1: country in just a four year span. All right, before

702
00:46:57,320 --> 00:46:59,440
Speaker 1: we get to the Daily Trump Date, Cold Hard Cash

703
00:46:59,480 --> 00:47:03,600
Speaker 1: contest word this hour, Pay Pay Pay. You have got

704
00:47:03,680 --> 00:47:05,640
Speaker 1: until four fifty five five to the top of the

705
00:47:05,640 --> 00:47:09,400
Speaker 1: hour to go to our website and enter the keyword pay.

706
00:47:09,600 --> 00:47:12,920
Speaker 1: If your entry is picked at random, we will pay

707
00:47:13,360 --> 00:47:15,120
Speaker 1: you one thousand bucks.

708
00:47:15,880 --> 00:47:18,680
Speaker 3: We're gonna win so much you may even get tired

709
00:47:18,719 --> 00:47:20,200
Speaker 3: of winning from just keeps winning.

710
00:47:20,200 --> 00:47:22,319
Speaker 1: It is a win for the administration.

711
00:47:22,520 --> 00:47:25,640
Speaker 8: It's also a big win for the United States.

712
00:47:25,680 --> 00:47:28,200
Speaker 1: We have to keep winning. We have to win more.

713
00:47:28,600 --> 00:47:33,919
Speaker 1: We're gonna win Moore. President Trump, in a signing ceremony

714
00:47:33,960 --> 00:47:39,160
Speaker 1: in the Oval Office today signed the Whole Milk for

715
00:47:39,440 --> 00:47:40,960
Speaker 1: Healthy Kids Acts.

716
00:47:41,000 --> 00:47:44,360
Speaker 3: As it currently stands, schools participating in the National School

717
00:47:44,440 --> 00:47:48,040
Speaker 3: Lunch Program, we're only able to offer students low or

718
00:47:48,160 --> 00:47:49,840
Speaker 3: non fat milk options.

719
00:47:49,880 --> 00:47:53,680
Speaker 2: That was changed during the Obama administration. A lot of

720
00:47:53,719 --> 00:47:57,319
Speaker 2: people disagreed with it at the time. With this legislation,

721
00:47:57,960 --> 00:48:01,360
Speaker 2: schools will finally be able to expand offerings to include

722
00:48:01,440 --> 00:48:02,840
Speaker 2: nutritious whole milk.

723
00:48:04,280 --> 00:48:07,320
Speaker 1: Sounds good to me. When you were growing up, producer

724
00:48:07,440 --> 00:48:11,400
Speaker 1: armand did you drink skim milk two percent or whole milk?

725
00:48:11,920 --> 00:48:14,759
Speaker 1: You were a two percent kid. My mom always bought

726
00:48:14,880 --> 00:48:17,400
Speaker 1: skim milk for some reason. Now I've been drinking a

727
00:48:17,400 --> 00:48:20,400
Speaker 1: lot of whole milk. I don't know why. For a

728
00:48:20,440 --> 00:48:25,440
Speaker 1: long time, my wife would only buy soy milk because

729
00:48:25,440 --> 00:48:27,799
Speaker 1: she thought, well, actually, I think my daughter was when

730
00:48:27,800 --> 00:48:31,360
Speaker 1: she was younger, lactose intolerant. She would always get a

731
00:48:31,360 --> 00:48:34,800
Speaker 1: stomach ache after drinking milk. So for a long time

732
00:48:35,360 --> 00:48:38,000
Speaker 1: we had what the boys and I what My sons

733
00:48:38,040 --> 00:48:40,880
Speaker 1: and I would joke. My wife would buy milk free milk,

734
00:48:41,880 --> 00:48:45,360
Speaker 1: so we would get almond milk, we would get soy milk,

735
00:48:46,080 --> 00:48:48,360
Speaker 1: we would get I don't know what other fake milk,

736
00:48:48,600 --> 00:48:52,560
Speaker 1: oat milk. I think she did get oat milk, never

737
00:48:52,600 --> 00:48:55,319
Speaker 1: goat milk. I don't know. I just say there's something

738
00:48:55,320 --> 00:48:57,800
Speaker 1: about goat milk I can do. Yeah, I was mostly

739
00:48:57,840 --> 00:49:00,600
Speaker 1: a skim milky and now it's you know what, I

740
00:49:00,680 --> 00:49:03,759
Speaker 1: drink a lot of and I probably should be drinking this.

741
00:49:03,920 --> 00:49:07,880
Speaker 1: I'm doing the dry January thing, so I'm not doing alcohol.

742
00:49:07,920 --> 00:49:10,480
Speaker 1: I called dried January because a lot of times I'll

743
00:49:10,480 --> 00:49:14,719
Speaker 1: go well into February or March. Is you know it's

744
00:49:14,760 --> 00:49:17,919
Speaker 1: a boy. And I'll tell you, folks, what they say

745
00:49:17,960 --> 00:49:22,279
Speaker 1: about dry January is absolutely true. Your body feels so

746
00:49:23,120 --> 00:49:25,400
Speaker 1: much better. And let me tell you, friends, it was

747
00:49:25,480 --> 00:49:29,560
Speaker 1: a very wet December, so yeah, you got Christmas parties

748
00:49:29,640 --> 00:49:33,000
Speaker 1: and stuff, New Year's Eve and all this sort of stuff.

749
00:49:34,360 --> 00:49:36,680
Speaker 1: I've been drinking as a result, I drink a lot

750
00:49:36,719 --> 00:49:40,080
Speaker 1: of soda. Now I'd be much better off drinking chocolate milk.

751
00:49:40,120 --> 00:49:42,680
Speaker 1: I had some chocolate milk last night. Was absolutely fantastic.

752
00:49:42,760 --> 00:49:45,600
Speaker 1: So kudos to President Trump who are giving kids access

753
00:49:45,640 --> 00:49:50,680
Speaker 1: to healthy, nutritious whole milky. Also took questions from reporters

754
00:49:50,719 --> 00:49:53,880
Speaker 1: today and drop some pretty decent size news.

755
00:49:55,080 --> 00:50:01,000
Speaker 2: Found and is in jail right now. And that's the

756
00:50:01,280 --> 00:50:06,719
Speaker 2: leaker on Venezuela. They had a very bad liker. So

757
00:50:06,880 --> 00:50:08,560
Speaker 2: there could be some others who were look you know

758
00:50:08,640 --> 00:50:11,480
Speaker 2: about that. We're out on their trail. But the liker

759
00:50:11,520 --> 00:50:14,880
Speaker 2: has been found on the leakers in jail, and.

760
00:50:15,040 --> 00:50:16,919
Speaker 3: We'll probably be in jail for a long time.

761
00:50:17,000 --> 00:50:21,840
Speaker 1: Let's see what happens. The President also addressed the crackdown

762
00:50:21,880 --> 00:50:26,200
Speaker 1: on protests in Iran that is left between twenty five

763
00:50:26,280 --> 00:50:31,840
Speaker 1: hundred and eight thousand people dead, according to human rights groups.

764
00:50:31,880 --> 00:50:35,000
Speaker 1: People on the ground in Iran, which has switched off

765
00:50:35,120 --> 00:50:39,320
Speaker 1: the internet, Elon Musk is trying to position Starlink satellites

766
00:50:39,360 --> 00:50:42,520
Speaker 1: over the country to be able to provide people with

767
00:50:42,760 --> 00:50:45,160
Speaker 1: the Internet. But people on the ground said there were

768
00:50:45,280 --> 00:50:49,759
Speaker 1: so many bodies of murdered protesters that the morgues couldn't hold,

769
00:50:49,760 --> 00:50:51,439
Speaker 1: and they were just piling up in the streets. It's

770
00:50:51,440 --> 00:50:55,880
Speaker 1: a horrific situation there. The President needs to stand with

771
00:50:56,120 --> 00:51:02,839
Speaker 1: absolute moral clarity with the Iranian people, the true courageous protesters,

772
00:51:02,880 --> 00:51:07,000
Speaker 1: not these psychopaths in Minneapolis. The woman who used a

773
00:51:07,040 --> 00:51:11,359
Speaker 1: picture of Ayato Lahamani to light her cigarette while not

774
00:51:11,400 --> 00:51:14,800
Speaker 1: wearing a burka on the streets of Tehran during the protest.

775
00:51:15,200 --> 00:51:19,080
Speaker 1: That is a feminist icon, not some pink haired weirdo

776
00:51:19,520 --> 00:51:23,439
Speaker 1: trying to run down Ice agents because she thinks they're

777
00:51:23,480 --> 00:51:25,399
Speaker 1: the modern day gas stap. All right, that is your

778
00:51:25,680 --> 00:51:31,600
Speaker 1: daily Trump date. The President has said that, well, we

779
00:51:32,200 --> 00:51:38,480
Speaker 1: are told the killing has stopped. Yeah, you cannot trust

780
00:51:38,600 --> 00:51:42,720
Speaker 1: the Mullahs any further than you can drop a bomb

781
00:51:43,120 --> 00:51:46,600
Speaker 1: on their nuclear facilities. These are liars. These are the

782
00:51:46,719 --> 00:51:52,200
Speaker 1: worst people in the world. And I'm not sure what

783
00:51:52,400 --> 00:51:58,080
Speaker 1: a maximum pressure campaign looks like. Does it involve similar

784
00:51:58,160 --> 00:52:02,160
Speaker 1: air power to the type that we displayed over Venezuela.

785
00:52:02,920 --> 00:52:08,400
Speaker 1: It might I think what the overarching strategy for the

786
00:52:08,440 --> 00:52:12,680
Speaker 1: Trump administration of both Iran and Cuba is to let

787
00:52:12,680 --> 00:52:18,880
Speaker 1: these popular uprisings play out so that these are changes.

788
00:52:19,000 --> 00:52:25,120
Speaker 1: These are overthrows of tyrannical regimes that come from within

789
00:52:25,440 --> 00:52:29,839
Speaker 1: and are not seen as American led. All Right, when

790
00:52:29,920 --> 00:52:32,200
Speaker 1: we come back as promised, I know I've been a

791
00:52:32,239 --> 00:52:37,360
Speaker 1: little distracted. The Fraternal Order of Police in Milwaukee takes

792
00:52:37,400 --> 00:52:43,040
Speaker 1: Mayor Cavalier Johnson to task over his statements about the

793
00:52:43,080 --> 00:52:47,040
Speaker 1: Ice shooting in Minneapolis. It's the Dan O'Donnell show exclusive

794
00:52:47,200 --> 00:52:53,680
Speaker 1: and it is coming up next. Stay tuned, Welcome back

795
00:52:53,719 --> 00:52:55,520
Speaker 1: Dan o'donald' show. We didn't get to do this at

796
00:52:55,560 --> 00:52:57,200
Speaker 1: the end of the three o'clock hour. Now is as

797
00:52:57,239 --> 00:53:01,360
Speaker 1: good a time as any to name today's unhinged Liberal

798
00:53:01,360 --> 00:53:11,080
Speaker 1: of the day.

799
00:53:13,160 --> 00:53:19,640
Speaker 4: Prof is dangerous because he's evil.

800
00:53:20,200 --> 00:53:24,239
Speaker 1: Today's unhinged Liberal of the day is quite possibly my

801
00:53:24,400 --> 00:53:29,080
Speaker 1: favorite liberal of the entire month. He is Paul from Madison,

802
00:53:29,400 --> 00:53:33,279
Speaker 1: and he felt a calling to drive all the way

803
00:53:33,680 --> 00:53:39,919
Speaker 1: from Wisconsin's capital to Minneapolis to target ICE agents. Now

804
00:53:41,040 --> 00:53:44,840
Speaker 1: to mourn for his fallen comrade Renee Good. Of course,

805
00:53:44,920 --> 00:53:51,279
Speaker 1: not he is standing guard outside of a Mexican restaurant

806
00:53:51,719 --> 00:53:55,960
Speaker 1: to protect all of the illegal aliens he assumes must

807
00:53:56,040 --> 00:53:58,280
Speaker 1: be inside from Ice agents.

808
00:53:58,320 --> 00:53:58,480
Speaker 11: Here.

809
00:53:58,520 --> 00:54:02,120
Speaker 1: He is on ms NOW formerly MSNBC. So you came

810
00:54:02,160 --> 00:54:05,360
Speaker 1: in from Madison, Wisconsin. That's a long drive.

811
00:54:05,480 --> 00:54:09,160
Speaker 4: Help explain to me why you're here outside of this

812
00:54:09,320 --> 00:54:10,280
Speaker 4: business right now.

813
00:54:10,280 --> 00:54:12,960
Speaker 5: So I'm out here right now because this business put

814
00:54:12,960 --> 00:54:16,120
Speaker 5: out a call for people to stand on this corner

815
00:54:16,160 --> 00:54:18,399
Speaker 5: to watch the business for them. They've been really worried

816
00:54:18,400 --> 00:54:21,120
Speaker 5: about reopening. They were shut down for the past five

817
00:54:21,200 --> 00:54:25,440
Speaker 5: days after Ice was here, and they just aren't comfortable

818
00:54:26,160 --> 00:54:27,279
Speaker 5: just doing this on their own.

819
00:54:28,080 --> 00:54:32,000
Speaker 4: And this is a Mexican restaurant and grocery store. And Paul,

820
00:54:32,080 --> 00:54:35,000
Speaker 4: I see that you have a lot of equipment on you.

821
00:54:35,000 --> 00:54:38,600
Speaker 4: You have a camera, obviously, you have another GoPro back here.

822
00:54:38,880 --> 00:54:41,400
Speaker 4: You've got this acces as a whistle you were telling me,

823
00:54:41,680 --> 00:54:43,919
Speaker 4: and you've also got a first aid kit.

824
00:54:45,320 --> 00:54:46,719
Speaker 1: It would be easy.

825
00:54:46,440 --> 00:54:50,080
Speaker 4: To understand why somebody wouldn't want to be coming out

826
00:54:50,120 --> 00:54:53,040
Speaker 4: here to do the work that Renee Good was doing

827
00:54:53,440 --> 00:54:57,800
Speaker 4: after she lost her life, but instead you drove in

828
00:54:58,239 --> 00:55:01,440
Speaker 4: four hours away. Why is it so important for you

829
00:55:01,520 --> 00:55:03,680
Speaker 4: to be here right now to be doing this work

830
00:55:03,760 --> 00:55:04,080
Speaker 4: right now.

831
00:55:04,160 --> 00:55:07,080
Speaker 5: Yeah, I have family in this community, so I was

832
00:55:07,160 --> 00:55:11,239
Speaker 5: really worried about them. They shared their concerns and they

833
00:55:11,239 --> 00:55:13,560
Speaker 5: have a young son. They're not able to do this work.

834
00:55:13,560 --> 00:55:16,719
Speaker 5: They're not able to stand here and watch over the neighborhood.

835
00:55:17,120 --> 00:55:20,640
Speaker 5: So I'm here for them, for this community. This is

836
00:55:20,640 --> 00:55:22,840
Speaker 5: what they need. They need to see people in this

837
00:55:22,880 --> 00:55:26,359
Speaker 5: community out here supporting them, showing them that we are

838
00:55:26,400 --> 00:55:30,840
Speaker 5: not afraid of this state sponsored terrorism.

839
00:55:31,640 --> 00:55:36,919
Speaker 1: So much, so much there, Paul from Madison, you're unhinged

840
00:55:37,040 --> 00:55:42,960
Speaker 1: liberal of the day today. Yes, there must be illegals.

841
00:55:43,000 --> 00:55:47,640
Speaker 1: It's a Mexican restaurant. They must just have everybody in there,

842
00:55:47,719 --> 00:55:50,480
Speaker 1: must be an illegal alien. It's a Mexican restaurant. Come on,

843
00:55:50,640 --> 00:55:56,520
Speaker 1: totally not racist, because Paul is a kind, good hearted liberal. Also,

844
00:55:57,480 --> 00:56:02,280
Speaker 1: he understands that all of the illegals who are hiding inside,

845
00:56:02,280 --> 00:56:07,279
Speaker 1: they're probably under tables right now. They have not come

846
00:56:07,320 --> 00:56:11,759
Speaker 1: out for fear of ice, sustaining themselves on Margarita's in

847
00:56:11,880 --> 00:56:14,960
Speaker 1: Guac for the past week and a half of Trump's

848
00:56:14,960 --> 00:56:21,760
Speaker 1: ice surge. They need people like Paul out there because

849
00:56:22,400 --> 00:56:26,880
Speaker 1: they need to see that good white liberals like Paul

850
00:56:28,239 --> 00:56:33,960
Speaker 1: are standing with them. Milwaukee Mayor Cavalier Johnson put out

851
00:56:34,520 --> 00:56:38,560
Speaker 1: in part the following statement the day of the ice

852
00:56:38,680 --> 00:56:41,640
Speaker 1: shooting last week of Renee Good. I have seen the

853
00:56:41,719 --> 00:56:44,839
Speaker 1: video of today's shooting in Minneapolis, and it is disturbing.

854
00:56:44,880 --> 00:56:50,280
Speaker 1: A thorough and independent investigation is needed. If wrongdoing is identified,

855
00:56:50,840 --> 00:56:54,760
Speaker 1: formal accountability must be forthcoming so that justice is served.

856
00:56:55,040 --> 00:56:59,239
Speaker 1: I encourage everyone to show restraint, including federal agents and

857
00:56:59,320 --> 00:57:04,560
Speaker 1: those exertsing their constitutionally protected rights to demonstrate. Now. I

858
00:57:04,680 --> 00:57:07,200
Speaker 1: actually saw that when it came out and didn't think

859
00:57:07,280 --> 00:57:10,759
Speaker 1: much of it because it seemed rather benign to me.

860
00:57:12,360 --> 00:57:16,400
Speaker 1: But I am not a law enforcement agent. The Fraternal

861
00:57:16,680 --> 00:57:23,040
Speaker 1: Order of Police Cream City Lodge Number eight is the

862
00:57:23,080 --> 00:57:27,960
Speaker 1: Milwaukee Police Fraternal Order of Police chapter, so this is

863
00:57:29,520 --> 00:57:33,920
Speaker 1: Chevy Johnson's own police department. The members who belonged to

864
00:57:34,000 --> 00:57:37,840
Speaker 1: this lodge were very upset by it, and today put

865
00:57:37,880 --> 00:57:42,400
Speaker 1: out this statement. The Wisconsin Fraternal Order of Police Cream

866
00:57:42,440 --> 00:57:46,920
Speaker 1: City Lodge Number eight strongly condemns Mayor Johnson's premature and

867
00:57:47,080 --> 00:57:51,800
Speaker 1: irresponsible public commentary regarding the ice shooting of Minneapolis by

868
00:57:51,920 --> 00:57:55,200
Speaker 1: forming and broadcasting an opinion based on video footage. The

869
00:57:55,240 --> 00:58:00,920
Speaker 1: mayor substituted optics for evidence and speculation for dis supplin leadership.

870
00:58:01,720 --> 00:58:05,280
Speaker 1: Law enforcement use of force incidents are complex, fast moving,

871
00:58:05,320 --> 00:58:09,640
Speaker 1: in fact specific, they cannot be responsibly judged through video

872
00:58:09,640 --> 00:58:12,520
Speaker 1: clips viewed after the fact. Video does not capture an

873
00:58:12,520 --> 00:58:18,280
Speaker 1: officer's real time threat assessment, intent, or the totality of

874
00:58:18,400 --> 00:58:22,560
Speaker 1: circumstances confronting them in a matter of seconds. Leaders who

875
00:58:22,560 --> 00:58:27,040
Speaker 1: suggest otherwise mislead the public and erode confidence in the

876
00:58:27,040 --> 00:58:32,919
Speaker 1: investigative process. The mayor's generalized call for restraint, particularly when

877
00:58:32,960 --> 00:58:36,920
Speaker 1: directed at law enforcement without a corresponding affirmation of lawful

878
00:58:36,960 --> 00:58:42,680
Speaker 1: authority and due process, is both misguided and dangerous. Federal agents,

879
00:58:42,800 --> 00:58:46,320
Speaker 1: like all law enforcement officers, are entitled to fair, objective,

880
00:58:46,400 --> 00:58:51,880
Speaker 1: evidence based investigations, not public judgment shaped by political pressure

881
00:58:52,120 --> 00:58:56,080
Speaker 1: or social media narratives. The Fraternal Order of Police, Cream

882
00:58:56,120 --> 00:59:00,400
Speaker 1: City Lodge Number eight expects selected officials to exercise the

883
00:59:00,520 --> 00:59:05,960
Speaker 1: same restraint they demand of others. True leadership requires patience,

884
00:59:06,080 --> 00:59:08,960
Speaker 1: respect for the rule of law, and the discipline to

885
00:59:09,120 --> 00:59:13,200
Speaker 1: withhold commentary until all the facts are known. Anything less

886
00:59:13,360 --> 00:59:17,800
Speaker 1: undermines public safety, officer morale and the integrity of our

887
00:59:18,040 --> 00:59:26,360
Speaker 1: justice system. Wow kudos to those officers of the Fraternal

888
00:59:26,480 --> 00:59:32,120
Speaker 1: Order of Police, Cream City Lodge number eight for very

889
00:59:32,240 --> 00:59:40,400
Speaker 1: succincly sharing law enforcements perspective on this even what a

890
00:59:40,480 --> 00:59:43,120
Speaker 1: lay person like me would perceive to be on it's

891
00:59:43,160 --> 00:59:46,520
Speaker 1: a relatively benign statement from a lefty mayor. In fact,

892
00:59:46,640 --> 00:59:50,960
Speaker 1: I was actually shocked at the restraint Chevy Johnson showed

893
00:59:51,560 --> 00:59:57,560
Speaker 1: in issuing this statement. But he did, he did prejudge

894
00:59:57,560 --> 01:00:01,760
Speaker 1: this case. He did resume that the officer was wrong,

895
01:00:01,800 --> 01:00:06,560
Speaker 1: that the video is disturbing through an independent investigation is needed.

896
01:00:06,560 --> 01:00:09,720
Speaker 1: If for wrongdoing is identified, formal accountability must be forthcoming,

897
01:00:09,720 --> 01:00:13,240
Speaker 1: so that justice is what he's talking about, is justice

898
01:00:13,240 --> 01:00:17,480
Speaker 1: for the officer, never possibly contemplating that, hey, maybe there

899
01:00:17,520 --> 01:00:24,880
Speaker 1: should be justice for the agent in the form of

900
01:00:24,920 --> 01:00:29,080
Speaker 1: his name being cleared. We now know he suffered internal

901
01:00:29,160 --> 01:00:32,360
Speaker 1: bleeding to the torso as a result of being struck

902
01:00:32,440 --> 01:00:35,520
Speaker 1: by the suv. Do you know it is all over

903
01:00:35,600 --> 01:00:40,640
Speaker 1: social media right now after CBS reported that exclusively left

904
01:00:40,680 --> 01:00:43,920
Speaker 1: wingers saying Nope, they're lying, he's lying. He wasn't actually hurt. No,

905
01:00:44,000 --> 01:00:47,040
Speaker 1: he was hospitalized. He was sent to the hospital with

906
01:00:47,280 --> 01:00:53,560
Speaker 1: injuries suffered when Rene Good drove into him. The video

907
01:00:53,760 --> 01:00:58,360
Speaker 1: shows he is struck by the vehicle and then he

908
01:00:58,480 --> 01:01:06,040
Speaker 1: fires twice. The shooting was justified. Mayor Johnson immediately came

909
01:01:06,080 --> 01:01:09,480
Speaker 1: and he wasn't as bad as Minneapolis as Jacob Frye,

910
01:01:09,520 --> 01:01:13,920
Speaker 1: who was He gave I think the worst press conference

911
01:01:14,040 --> 01:01:17,240
Speaker 1: in the history of mayoral press conferences. To say that

912
01:01:17,360 --> 01:01:19,800
Speaker 1: was shameful is to do it a great disservice. That

913
01:01:19,920 --> 01:01:22,880
Speaker 1: was one of the worst things I have ever watched,

914
01:01:23,840 --> 01:01:27,440
Speaker 1: because it was pretty apparent, even from the initial video

915
01:01:27,480 --> 01:01:31,440
Speaker 1: clips that came out, that the officer had a reasonable

916
01:01:31,480 --> 01:01:33,560
Speaker 1: fear that the woman was going to run him over,

917
01:01:33,640 --> 01:01:41,320
Speaker 1: which she again did. But I'm so glad that law

918
01:01:41,400 --> 01:01:46,520
Speaker 1: enforcement is pushing back on this idea that somehow, somehow

919
01:01:46,600 --> 01:01:50,320
Speaker 1: they are always to blame, they are always accountable, they

920
01:01:50,400 --> 01:01:56,040
Speaker 1: must always face justice, and there is never a questioning

921
01:01:56,920 --> 01:02:01,760
Speaker 1: of someone who is specifically there locking traffic, As video

922
01:02:01,840 --> 01:02:06,000
Speaker 1: posted on CNN shows, for three minutes, she sat there

923
01:02:06,040 --> 01:02:12,440
Speaker 1: her car perpendicular to oncoming traffic, specifically to impede ICE agents.

924
01:02:13,880 --> 01:02:18,680
Speaker 1: Her wife, Rebecca Good, wearing one of the whistles that

925
01:02:19,120 --> 01:02:24,200
Speaker 1: people have been blowing not to alert illegals to the

926
01:02:24,240 --> 01:02:27,520
Speaker 1: presence of ICE, which by the way is obstruction of

927
01:02:27,560 --> 01:02:31,560
Speaker 1: federal process. That is a crime. Alerting someone to the

928
01:02:31,600 --> 01:02:34,800
Speaker 1: presence of law enforcement there to arrest them is helping

929
01:02:34,840 --> 01:02:38,400
Speaker 1: them escape law enforcement. That is aiding and a betting,

930
01:02:39,680 --> 01:02:42,960
Speaker 1: and it's obstruction a process. She was wearing one of

931
01:02:42,960 --> 01:02:46,040
Speaker 1: the whistles, and people have been blowing the whistles in

932
01:02:46,200 --> 01:02:51,080
Speaker 1: ICE agents' faces just to rile them up, just to

933
01:02:51,080 --> 01:02:54,400
Speaker 1: get them upset. By the way, coming up, our unsung

934
01:02:54,480 --> 01:02:58,960
Speaker 1: hero of the day is an ICE agent in Minneapolis

935
01:02:59,160 --> 01:03:02,520
Speaker 1: who has the pas of an absolute saint. When we

936
01:03:02,560 --> 01:03:06,960
Speaker 1: come that back, though, Wisconsin's Governor Tony Evers weighs in

937
01:03:07,280 --> 01:03:11,240
Speaker 1: on illegal immigration and Wisconsin, and of course the clowns himself,

938
01:03:21,200 --> 01:03:24,480
Speaker 1: why do we need ICE in the first place, Why

939
01:03:24,520 --> 01:03:30,600
Speaker 1: do we need federal enforcement of America's immigration laws? Because well,

940
01:03:31,560 --> 01:03:35,840
Speaker 1: governors like Tim Walls or Tony Evers here in Wisconsin

941
01:03:36,240 --> 01:03:44,360
Speaker 1: simply will not. Evers once again is making the absurd

942
01:03:44,600 --> 01:03:51,400
Speaker 1: claim that Wisconsin's economy would be quote destroyed if we

943
01:03:51,520 --> 01:03:54,200
Speaker 1: didn't have a ton of illegal aliens.

944
01:03:54,320 --> 01:03:56,760
Speaker 14: I can probably say in my sleep, you know our

945
01:03:58,000 --> 01:04:04,560
Speaker 14: state will be destroying economically if suddenly we decide anybody

946
01:04:04,640 --> 01:04:09,040
Speaker 14: undocumented is going home. Or has to leave Wisconsin.

947
01:04:10,040 --> 01:04:14,360
Speaker 1: Honestly, is any reporter going to follow up with that? Like,

948
01:04:14,960 --> 01:04:18,479
Speaker 1: what is your basis for saying that? So I could

949
01:04:18,480 --> 01:04:20,880
Speaker 1: say it in my sleep, because it's nothing more than

950
01:04:20,920 --> 01:04:25,680
Speaker 1: a bumper sticker slogan that he's been saying for at

951
01:04:25,760 --> 01:04:30,960
Speaker 1: least a year now. Early in twenty twenty five, shortly

952
01:04:31,000 --> 01:04:35,600
Speaker 1: before the first legislative session of the year, Governor Evers

953
01:04:35,640 --> 01:04:39,560
Speaker 1: held a press conference in which he said, if illegal

954
01:04:39,640 --> 01:04:44,720
Speaker 1: aliens were deported as President Trump then President elect Trump

955
01:04:44,800 --> 01:04:49,000
Speaker 1: was promising to do, if they were to be gone,

956
01:04:49,520 --> 01:04:51,640
Speaker 1: we would have no one to milk the cat Wisconsin.

957
01:04:51,720 --> 01:04:59,880
Speaker 14: Sevent of our our farms are dealing with seventy percent

958
01:05:00,080 --> 01:05:05,960
Speaker 14: the people that may be part of may be part

959
01:05:06,000 --> 01:05:11,960
Speaker 14: of the federal government's idea to move them elsewhere, like

960
01:05:12,040 --> 01:05:15,600
Speaker 14: out of our country. Think about that. How in the

961
01:05:15,680 --> 01:05:19,240
Speaker 14: how would we continue to be the dairy state when

962
01:05:19,440 --> 01:05:22,000
Speaker 14: there's nobody there to milk the cows and do the

963
01:05:22,040 --> 01:05:23,400
Speaker 14: other important work.

964
01:05:24,800 --> 01:05:30,800
Speaker 1: What that there's five point eight million people in this state.

965
01:05:32,120 --> 01:05:37,320
Speaker 1: If we deport criminal illegal aliens, not one of those remaining,

966
01:05:37,400 --> 01:05:41,600
Speaker 1: let's say five point seven million people would be able

967
01:05:41,680 --> 01:05:47,720
Speaker 1: to milk cows, milking cows, by the way, is largely automated.

968
01:05:48,600 --> 01:05:53,880
Speaker 1: At most farms. There are such things as milking machines.

969
01:05:54,760 --> 01:05:57,320
Speaker 1: You don't have Jose getting up at the crack of

970
01:05:57,400 --> 01:06:04,160
Speaker 1: dawn with gloves and a bucket anymore. Governor, this obvious

971
01:06:04,600 --> 01:06:08,600
Speaker 1: reality didn't stop him from saying the exact same thing

972
01:06:08,880 --> 01:06:13,840
Speaker 1: on September second, that Wisconsin's economy would be destroyed if

973
01:06:13,880 --> 01:06:15,120
Speaker 1: we had mass deportations.

974
01:06:15,160 --> 01:06:19,080
Speaker 14: I believe that in Wisconsin, our ability to keep our

975
01:06:19,520 --> 01:06:23,200
Speaker 14: undocumented people working like they are now at a really

976
01:06:23,280 --> 01:06:27,320
Speaker 14: high numbers in the state of Wisconsin, if he takes

977
01:06:27,400 --> 01:06:33,440
Speaker 14: us to an improper end, our economy will be gone.

978
01:06:34,360 --> 01:06:39,920
Speaker 1: Interestingly enough, the state Assembly just passed an everified bill yesterday,

979
01:06:41,760 --> 01:06:43,920
Speaker 1: meaning that you would no longer be able to hire

980
01:06:44,000 --> 01:06:48,919
Speaker 1: illegal aliens, which, by the way, is illegal. Under federal law.

981
01:06:49,000 --> 01:06:56,920
Speaker 1: You are not allowed to employ illegal aliens. This is

982
01:06:58,560 --> 01:07:04,080
Speaker 1: I would love, I would absolutely love for someone to

983
01:07:05,880 --> 01:07:11,280
Speaker 1: explain to me, in real dollar terms, how exactly the

984
01:07:11,320 --> 01:07:18,040
Speaker 1: agriculture industry would be destroyed if illegalians were gone, if

985
01:07:18,080 --> 01:07:22,520
Speaker 1: Wisconsin's economy were to be destroyed. John in Oakfield, you're

986
01:07:22,600 --> 01:07:24,560
Speaker 1: on the Dan O'Donnell show. It's going on, John.

987
01:07:25,520 --> 01:07:29,200
Speaker 12: Good afternoon, Dan, long time. You and I agree about

988
01:07:29,320 --> 01:07:33,560
Speaker 12: almost everything, but for you too, and we both agree

989
01:07:33,600 --> 01:07:36,880
Speaker 12: that Tonyo Ebers is not the sharpest knife in the drawer.

990
01:07:37,440 --> 01:07:42,880
Speaker 12: But he is not incorrect that if I'm not in

991
01:07:43,000 --> 01:07:47,320
Speaker 12: me saying this, please don't construe that I'm anti ice

992
01:07:47,440 --> 01:07:52,200
Speaker 12: or anything else, because I have been against these illegals

993
01:07:52,240 --> 01:07:53,600
Speaker 12: being here forever.

994
01:07:54,320 --> 01:07:54,480
Speaker 1: Right.

995
01:07:54,520 --> 01:07:57,120
Speaker 12: In fact, I've gotten crossways with a lot of customers

996
01:07:57,200 --> 01:08:00,000
Speaker 12: because of my view on it. In saying that he's

997
01:08:00,160 --> 01:08:02,960
Speaker 12: not wrong that the majority of the cows that are

998
01:08:03,000 --> 01:08:05,520
Speaker 12: milked in the state of Wisconsin our milk by a Mexican,

999
01:08:05,880 --> 01:08:10,640
Speaker 12: you're incorrect that that you don't need somebody to do that.

1000
01:08:10,800 --> 01:08:12,760
Speaker 12: There are if you go into any of these milking

1001
01:08:12,800 --> 01:08:14,000
Speaker 12: parlors and any of these.

1002
01:08:14,360 --> 01:08:17,559
Speaker 1: John I'm not saying that you don't need a human being.

1003
01:08:18,320 --> 01:08:20,200
Speaker 1: It's not like the cow. It's not like the cows

1004
01:08:20,200 --> 01:08:22,760
Speaker 1: will be like all right, farmer Fred, I'm going up

1005
01:08:22,760 --> 01:08:25,280
Speaker 1: to the milking machine. I understand that you do.

1006
01:08:25,240 --> 01:08:28,120
Speaker 12: Need There are our robotic milkers. There are our farms

1007
01:08:28,120 --> 01:08:31,160
Speaker 12: that have completely automated systems where there are robots. But

1008
01:08:31,240 --> 01:08:34,960
Speaker 12: the problem you have is and by this being allowed

1009
01:08:35,000 --> 01:08:38,439
Speaker 12: to develop for as many years as this has been

1010
01:08:38,479 --> 01:08:42,880
Speaker 12: going on. We're talking thirty years plus, okay, that these

1011
01:08:43,200 --> 01:08:46,160
Speaker 12: have been infiltrated. And we have a two tier wage

1012
01:08:46,200 --> 01:08:49,479
Speaker 12: system that has developed both in the dairy industry and

1013
01:08:49,560 --> 01:08:50,880
Speaker 12: in the meat packing in.

1014
01:08:50,920 --> 01:08:54,439
Speaker 1: The and that's actually a massive issue. This is what's

1015
01:08:54,560 --> 01:08:59,200
Speaker 1: prompted the Everify bill, And this is what's prompted because

1016
01:08:59,760 --> 01:09:04,120
Speaker 1: you have lower cost illegals who are doing jobs that

1017
01:09:04,200 --> 01:09:08,439
Speaker 1: Americans otherwise would do. But John, and I respect, I

1018
01:09:08,680 --> 01:09:12,160
Speaker 1: please don't don't misunderstand it. I respect the heck out

1019
01:09:12,160 --> 01:09:14,000
Speaker 1: of you. You have been a long time caller. We

1020
01:09:14,160 --> 01:09:18,679
Speaker 1: love having you on. It is illegal under federal law

1021
01:09:19,000 --> 01:09:21,720
Speaker 1: to employ illegal aliens on farms, but.

1022
01:09:22,120 --> 01:09:25,519
Speaker 12: Otherwise, hey on told one second, okay, one second, I

1023
01:09:25,560 --> 01:09:27,960
Speaker 12: agree one hundred percent. I have a trucking business. I

1024
01:09:28,040 --> 01:09:31,479
Speaker 12: have to hear verify. The problem we have is e verify,

1025
01:09:31,760 --> 01:09:34,719
Speaker 12: is that we are not playing on an even playing field. Okay.

1026
01:09:34,880 --> 01:09:41,360
Speaker 12: And the reason why you would have trouble finding Americans citizens,

1027
01:09:41,520 --> 01:09:44,479
Speaker 12: legal citizens to do the job. The wages would have

1028
01:09:44,560 --> 01:09:46,679
Speaker 12: to go up to get them to want to get dirty,

1029
01:09:46,760 --> 01:09:49,679
Speaker 12: because you have a problem in this country. It exactly

1030
01:09:49,760 --> 01:09:53,000
Speaker 12: that we have a we have this entitlement attitude that

1031
01:09:53,000 --> 01:09:56,640
Speaker 12: that the government has also propagated. So most of this

1032
01:09:56,800 --> 01:10:00,479
Speaker 12: problem all ties back to the scumbags and water Washington,

1033
01:10:00,680 --> 01:10:04,080
Speaker 12: the scumbags and Madison that don't enforce the laws that

1034
01:10:04,120 --> 01:10:06,639
Speaker 12: are on the book, and now we all have. Now

1035
01:10:06,680 --> 01:10:08,759
Speaker 12: the rest of us are out here kind of sort

1036
01:10:08,760 --> 01:10:13,000
Speaker 12: of infighting about the minutia of it, when if you

1037
01:10:13,120 --> 01:10:15,760
Speaker 12: just did what's right, we wouldn't even be talking about

1038
01:10:15,800 --> 01:10:16,240
Speaker 12: this today.

1039
01:10:16,920 --> 01:10:19,680
Speaker 1: I can't disagree with that at all. But here's the

1040
01:10:19,760 --> 01:10:24,080
Speaker 1: issue we have had since the nineteen eighty six amnesty, John,

1041
01:10:24,840 --> 01:10:28,519
Speaker 1: we have not been able to test your theory that

1042
01:10:28,640 --> 01:10:32,160
Speaker 1: Americans won't do these jobs, okay, because we have always

1043
01:10:32,360 --> 01:10:39,280
Speaker 1: had illegal aliens artificially depressing American wages. And when you

1044
01:10:39,400 --> 01:10:44,360
Speaker 1: think about a job as a finite resource, yes, I

1045
01:10:44,400 --> 01:10:46,760
Speaker 1: know jobs are created all the time, but at this

1046
01:10:46,960 --> 01:10:50,679
Speaker 1: moment in time, okay, there are a certain set number

1047
01:10:50,680 --> 01:10:54,120
Speaker 1: of jobs that people could do. At some point in

1048
01:10:54,120 --> 01:10:56,840
Speaker 1: the future, there will hopefully be more jobs. We create

1049
01:10:56,920 --> 01:10:59,439
Speaker 1: jobs all the time, but at this moment, there is

1050
01:10:59,479 --> 01:11:02,559
Speaker 1: a fine number of jobs, okay, just as there are

1051
01:11:02,560 --> 01:11:05,000
Speaker 1: a finite number of houses, just as there are a

1052
01:11:05,080 --> 01:11:08,879
Speaker 1: finite number of cartons, of milk, finite number of goods.

1053
01:11:09,520 --> 01:11:13,800
Speaker 1: If all of a sudden there is a massive influx

1054
01:11:14,120 --> 01:11:18,879
Speaker 1: of new people to compete over that finite number of jobs,

1055
01:11:19,680 --> 01:11:24,320
Speaker 1: of houses of goods, what's going to happen is wages

1056
01:11:24,360 --> 01:11:27,439
Speaker 1: for the people who are already here are going to

1057
01:11:27,479 --> 01:11:31,280
Speaker 1: go down, and the prices of everything else are going

1058
01:11:31,320 --> 01:11:34,920
Speaker 1: to go up. So since nineteen eighty six and long

1059
01:11:35,040 --> 01:11:39,439
Speaker 1: before that, during the modern era of illegal immigration, this

1060
01:11:40,760 --> 01:11:44,680
Speaker 1: belief that well, Americans are just too lazy to do

1061
01:11:44,720 --> 01:11:47,719
Speaker 1: these jobs has never really been able to be tested

1062
01:11:47,760 --> 01:11:53,240
Speaker 1: because we have always had illegal alien workers who are

1063
01:11:53,320 --> 01:11:57,920
Speaker 1: taking the jobs that Americans might well be perfectly willing

1064
01:11:58,000 --> 01:12:03,400
Speaker 1: to do. We just haven't been able to test that idea.

1065
01:12:03,600 --> 01:12:07,000
Speaker 12: Dan, I agree. I just like I said, I wanted

1066
01:12:07,000 --> 01:12:10,120
Speaker 12: to clarify when I heard you starting to explain about

1067
01:12:10,160 --> 01:12:12,160
Speaker 12: milk and a cow and that I just you know

1068
01:12:12,200 --> 01:12:13,720
Speaker 12: what I'm saying. You understand, you know?

1069
01:12:13,800 --> 01:12:16,000
Speaker 1: Oh yeah, no, no, no, I do. And and half

1070
01:12:16,000 --> 01:12:17,800
Speaker 1: of that, half of that is just making fun of

1071
01:12:17,840 --> 01:12:22,719
Speaker 1: Governor Evers for sake that you need that you need No, John, Please,

1072
01:12:23,120 --> 01:12:27,480
Speaker 1: I completely get where you're coming from. And yes, I understand.

1073
01:12:27,520 --> 01:12:30,280
Speaker 1: I know a lot of people in the egg industry

1074
01:12:30,920 --> 01:12:35,160
Speaker 1: who do say, look, we don't want to do this,

1075
01:12:35,720 --> 01:12:38,759
Speaker 1: but there really is no other choice. The idea, though,

1076
01:12:38,800 --> 01:12:44,200
Speaker 1: that Wisconsin's entire economy, which is less dependent on agriculture

1077
01:12:44,280 --> 01:12:48,639
Speaker 1: than it ever has been, would completely collapse, is laughable,

1078
01:12:48,680 --> 01:12:53,080
Speaker 1: and again I am asking for any sort of verification

1079
01:12:53,360 --> 01:12:57,519
Speaker 1: of that set like I would love some statistic to

1080
01:12:57,720 --> 01:13:01,840
Speaker 1: show me how Wisconsin's acon me would collapse if we

1081
01:13:02,040 --> 01:13:05,240
Speaker 1: deported illegals. Thank you so much for the call. John

1082
01:13:05,439 --> 01:13:08,240
Speaker 1: Unsung Hero of the Day. Coming up next here on

1083
01:13:08,280 --> 01:13:17,479
Speaker 1: the Dan O'Donnell Show, I'll finally bite how do I

1084
01:13:17,520 --> 01:13:20,280
Speaker 1: get a men's wedding band made out of a meteorite

1085
01:13:21,520 --> 01:13:24,479
Speaker 1: whiskey barrels? Okay, I don't know if I'd want to

1086
01:13:24,479 --> 01:13:29,439
Speaker 1: wear a wooden wedding ring. Now I'm assuming it's the

1087
01:13:30,520 --> 01:13:34,719
Speaker 1: metal that binds the wood planks of the whiskey barrel.

1088
01:13:35,600 --> 01:13:40,439
Speaker 1: I am intrigued. If some if Monica Kessler could reach

1089
01:13:40,479 --> 01:13:43,240
Speaker 1: out and tell me how I get my hands on

1090
01:13:43,320 --> 01:13:48,880
Speaker 1: a meteorite ring, I would be eternally grateful. Time now

1091
01:13:48,920 --> 01:14:00,439
Speaker 1: to name the unsung hero of the day. Suppose I've

1092
01:14:00,439 --> 01:14:03,760
Speaker 1: got to explain that for those who aren't listening on

1093
01:14:03,840 --> 01:14:06,160
Speaker 1: the radio in real time. There was an ad that

1094
01:14:06,280 --> 01:14:12,439
Speaker 1: just played for Kessler's Diamond Center, where h Richard Kessler's daughter.

1095
01:14:13,200 --> 01:14:16,080
Speaker 1: Richard retired years ago and he gave the place to

1096
01:14:16,120 --> 01:14:18,720
Speaker 1: his daughter. Monica and the Big Voice guy are talking

1097
01:14:18,720 --> 01:14:19,000
Speaker 1: about it.

1098
01:14:19,080 --> 01:14:22,599
Speaker 15: He's a you can get men's wedding bands made out

1099
01:14:22,640 --> 01:14:30,400
Speaker 15: of meteorites. I'm like, okay, so it's a rock ring.

1100
01:14:31,320 --> 01:14:37,439
Speaker 15: That seems odd, but all right, well, yes, I know

1101
01:14:37,520 --> 01:14:40,880
Speaker 15: all rings are rocks. No, I mean, well, yes, okay,

1102
01:14:40,880 --> 01:14:44,519
Speaker 15: but mine's okay, mine's white gold. So a men's a

1103
01:14:44,600 --> 01:14:48,920
Speaker 15: men's wedding band typically doesn't have like a diamond in it. Arman,

1104
01:14:50,000 --> 01:14:52,360
Speaker 15: did your wife get you when when you proposed? Did

1105
01:14:52,360 --> 01:14:54,320
Speaker 15: she get you an engagement ring?

1106
01:14:57,040 --> 01:15:00,799
Speaker 1: Yeah? Okay, I was good to say. Yeah, No, I know,

1107
01:15:01,280 --> 01:15:04,240
Speaker 1: it's just weird. It's a weird thing to have as

1108
01:15:04,240 --> 01:15:08,519
Speaker 1: your wedding band. I'm sorry. It's what are like, what

1109
01:15:08,560 --> 01:15:11,960
Speaker 1: are meteorites made of? I guess I don't know. I

1110
01:15:11,800 --> 01:15:14,760
Speaker 1: mean I would have guessed, just like stone, I don't know.

1111
01:15:15,880 --> 01:15:18,320
Speaker 1: Supposedly there are some meteorites that are made out of

1112
01:15:18,400 --> 01:15:23,080
Speaker 1: solid diamond. Maybe it's one of those that Monica Kessler

1113
01:15:23,120 --> 01:15:25,400
Speaker 1: could get you. I don't know, but maybe we'll be

1114
01:15:25,439 --> 01:15:27,479
Speaker 1: able to figure that out, all right. Today's unsung hero

1115
01:15:27,760 --> 01:15:31,479
Speaker 1: of the day is an ICE agent in Minneapolis who

1116
01:15:31,479 --> 01:15:36,679
Speaker 1: showed remarkable patience and even dropped an incredible truth bomb

1117
01:15:36,960 --> 01:15:40,400
Speaker 1: on a couple of libs who were taunting him over

1118
01:15:40,439 --> 01:15:45,200
Speaker 1: what they presumed to be his meager salary. Take a listener,

1119
01:15:45,240 --> 01:15:46,240
Speaker 1: I don't care what they told you.

1120
01:15:46,320 --> 01:15:48,920
Speaker 14: If you guys get in my way, I will arrest you.

1121
01:15:49,000 --> 01:15:50,000
Speaker 12: So we're just observing.

1122
01:15:50,720 --> 01:15:53,599
Speaker 1: You deserve all you want in the way.

1123
01:15:54,080 --> 01:15:55,160
Speaker 11: I am back.

1124
01:15:56,160 --> 01:15:58,840
Speaker 1: You had angerishes as a kid, didn't You were your

1125
01:15:58,880 --> 01:16:04,120
Speaker 1: parents present? Okay, Now, why why say something like that

1126
01:16:04,160 --> 01:16:07,080
Speaker 1: to an ICE agent unless you're just trying to provoke

1127
01:16:07,120 --> 01:16:13,520
Speaker 1: a confrontation. You should be ashamed of yourself. Man, he is,

1128
01:16:14,520 --> 01:16:19,960
Speaker 1: I love my job, Thank you, he said. I can't

1129
01:16:19,960 --> 01:16:26,400
Speaker 1: believe I get paid for this. I do this for free. Okay.

1130
01:16:26,760 --> 01:16:30,040
Speaker 1: She then drops up, I get two hundred K. I'm

1131
01:16:30,040 --> 01:16:32,480
Speaker 1: a physician's assistant.

1132
01:16:32,160 --> 01:16:33,560
Speaker 14: How long do you go to school for that?

1133
01:16:35,520 --> 01:16:38,759
Speaker 11: I went to high school. I make one.

1134
01:16:40,080 --> 01:16:43,599
Speaker 1: That's fantastic. I went to high school. I make two

1135
01:16:43,720 --> 01:16:48,360
Speaker 1: hundred k. And then, of course this liberal beast drops

1136
01:16:48,400 --> 01:16:58,720
Speaker 1: this one. She goes I am someone who's respected in society.

1137
01:16:58,880 --> 01:17:03,080
Speaker 1: I'm a physician assistant. The fact that this guy was

1138
01:17:03,120 --> 01:17:06,880
Speaker 1: able to keep his cool with these two rotten human

1139
01:17:06,960 --> 01:17:11,400
Speaker 1: beings getting in his face, and the fact that he

1140
01:17:11,520 --> 01:17:14,920
Speaker 1: dropped the now iconic line I went to high school.

1141
01:17:15,120 --> 01:17:18,719
Speaker 1: I'm a two hundred k makes him the unsung hero

1142
01:17:19,560 --> 01:17:21,880
Speaker 1: of the day. You are listening to the Dan o'donald Show.

1143
01:17:21,880 --> 01:17:26,760
Speaker 1: When we come back, some very disturbing fundraising numbers in

1144
01:17:26,800 --> 01:17:41,600
Speaker 1: the State Supreme Court race. Stay tuned, all right. A

1145
01:17:41,680 --> 01:17:45,440
Speaker 1: number of people are answering my question about a meteorite

1146
01:17:45,720 --> 01:17:49,880
Speaker 1: or bourbon barrel, whiskey barrel, whatever it is, wedding band,

1147
01:17:50,439 --> 01:17:54,040
Speaker 1: and it is apparently most meteorites are made out of

1148
01:17:54,080 --> 01:18:01,600
Speaker 1: what is it? Iron? Tannerite? What was the other iron? Silicate?

1149
01:18:02,479 --> 01:18:08,000
Speaker 1: Not tannerite silicate? All right? You want to make sure

1150
01:18:08,040 --> 01:18:11,040
Speaker 1: if you're a woman, you get silicone implants and not

1151
01:18:11,200 --> 01:18:16,800
Speaker 1: silicate implants, because the latter would be quite painful. All right,

1152
01:18:16,840 --> 01:18:20,320
Speaker 1: So it's just an iron band made from or there's

1153
01:18:20,360 --> 01:18:25,000
Speaker 1: a tiny fragment of wood from a whiskey barrel sort

1154
01:18:25,000 --> 01:18:28,080
Speaker 1: of inlaid in the ring. That's kind of cool. I

1155
01:18:28,160 --> 01:18:32,200
Speaker 1: just I have heard that so many times, and folks,

1156
01:18:32,200 --> 01:18:34,240
Speaker 1: I don't pay attention to a whole lot of the

1157
01:18:34,280 --> 01:18:37,360
Speaker 1: commercials because I'm obviously getting ready for the next segment.

1158
01:18:37,760 --> 01:18:41,479
Speaker 1: Sometimes I'm just sort of taking a walk around the studio. Sometimes, yes,

1159
01:18:41,520 --> 01:18:43,880
Speaker 1: I have to pee. Sometimes I'm going to get a

1160
01:18:43,880 --> 01:18:46,719
Speaker 1: soda or a coffee or something like that. But people

1161
01:18:46,720 --> 01:18:49,000
Speaker 1: will be like, oh, damn, did you hear this advertisement.

1162
01:18:49,000 --> 01:18:53,240
Speaker 1: I'm like, maybe I heard it. I don't know if

1163
01:18:53,280 --> 01:18:56,080
Speaker 1: I was listening to it. And finally I heard the

1164
01:18:56,600 --> 01:19:00,839
Speaker 1: whiskey barrels and meteorites. Apparently there are dinas sore bones

1165
01:19:00,920 --> 01:19:04,200
Speaker 1: that can be in wedding rings, which sounds pretty freaking awesome.

1166
01:19:04,920 --> 01:19:08,840
Speaker 1: Let's get the Kessler's people on those. I want a

1167
01:19:08,920 --> 01:19:13,720
Speaker 1: dinosaur ring, I say, it sounded interesting to me. That's

1168
01:19:13,760 --> 01:19:17,680
Speaker 1: what I do on this show. I question so that

1169
01:19:17,720 --> 01:19:20,479
Speaker 1: I can inform our audience. Cold hard cash contest word

1170
01:19:20,479 --> 01:19:23,840
Speaker 1: this hour is bank BA NK Bank. You have got

1171
01:19:23,960 --> 01:19:26,759
Speaker 1: until five to the top of the hour, so plenty

1172
01:19:26,760 --> 01:19:29,200
Speaker 1: of time to go to our website and enter the

1173
01:19:29,280 --> 01:19:34,000
Speaker 1: keyword bank to enter this contest for this hour, thousand

1174
01:19:34,000 --> 01:19:36,519
Speaker 1: dollars on the line. If your entry has picked at random,

1175
01:19:36,720 --> 01:19:40,200
Speaker 1: you win a grand just by entering the keyword bank.

1176
01:19:40,360 --> 01:19:42,479
Speaker 1: Good luck to you. If you would like to join

1177
01:19:42,520 --> 01:19:46,519
Speaker 1: The Dan o'donald Show on this the final hour of

1178
01:19:46,520 --> 01:19:49,800
Speaker 1: the Wednesday edition, give us a call, shoot us a

1179
01:19:49,800 --> 01:19:52,040
Speaker 1: text on the advent nos dot com talk in text

1180
01:19:52,040 --> 01:19:54,000
Speaker 1: line one eight hundred and eight three eight nine, four

1181
01:19:54,080 --> 01:19:56,080
Speaker 1: seven six or four one four seven nine nine to

1182
01:19:56,080 --> 01:19:59,559
Speaker 1: eleven thirty. Do d at iHeartMedia dot com at Dan

1183
01:19:59,560 --> 01:20:03,880
Speaker 1: o'donald Show on X on Facebook, on Instagram, or on

1184
01:20:04,000 --> 01:20:07,720
Speaker 1: our YouTube channel. Please do subscribe to the Dan o'donald

1185
01:20:07,720 --> 01:20:13,120
Speaker 1: Show podcast on iHeartRadio or wherever you listen to podcast's

1186
01:20:13,360 --> 01:20:18,280
Speaker 1: first one hundred subscribers to the podcast, we'll get a

1187
01:20:18,280 --> 01:20:21,160
Speaker 1: wedding ring made out of a whiskey barrel or meteorite.

1188
01:20:21,400 --> 01:20:25,320
Speaker 1: No I made that last part up. Please do subscribe nonetheless.

1189
01:20:26,680 --> 01:20:33,080
Speaker 1: Fundraising numbers are due tomorrow for the twenty twenty six elections.

1190
01:20:34,680 --> 01:20:40,280
Speaker 1: Gubernatorial candidates Josh Showman and especially Tom Tiffany reported very

1191
01:20:40,320 --> 01:20:45,559
Speaker 1: strong fundraising totals two million for Tiffany, one million for Showman.

1192
01:20:47,120 --> 01:20:51,240
Speaker 1: Biggest earner on the Democrat side that has released their

1193
01:20:51,240 --> 01:20:54,920
Speaker 1: totals thus far David Crowley, who has raised about eight

1194
01:20:55,000 --> 01:21:00,639
Speaker 1: hundred thousand dollars. I normally don't get into fundraising numbers

1195
01:21:00,680 --> 01:21:04,559
Speaker 1: because while that can be indicative of a candidate's strength

1196
01:21:04,600 --> 01:21:09,880
Speaker 1: and popularity, isn't always and outside spending political action committee spending,

1197
01:21:09,960 --> 01:21:15,360
Speaker 1: issue advertising spending, out of state spending from the usual

1198
01:21:15,439 --> 01:21:20,080
Speaker 1: suspects typically George Soros, JB. Pritzker, and Reed Hoffman, the

1199
01:21:20,080 --> 01:21:24,960
Speaker 1: founder of LinkedIn, generally tip the scales to Democrats no

1200
01:21:25,000 --> 01:21:33,320
Speaker 1: matter what. But sometimes fundraising numbers, especially a fundraising discrepancy

1201
01:21:34,240 --> 01:21:38,560
Speaker 1: between two contenders for the same office, is so great

1202
01:21:39,360 --> 01:21:45,160
Speaker 1: that it ignites a five alarm fire within political circles.

1203
01:21:46,320 --> 01:21:52,200
Speaker 1: Today's Supreme Court fundraising totals did just that. Chrissy Taylor,

1204
01:21:52,360 --> 01:21:57,080
Speaker 1: the Liberal candidate for the Wisconsin Supreme Court, the election

1205
01:21:57,280 --> 01:21:59,479
Speaker 1: is this April. Doesn't really feel like we've got a

1206
01:21:59,520 --> 01:22:03,040
Speaker 1: Supreme Court race since the last two times we had

1207
01:22:03,080 --> 01:22:08,080
Speaker 1: them they were essentially for control of the court, ideological control,

1208
01:22:08,680 --> 01:22:14,760
Speaker 1: and well, this one isn't. Chrissy Taylor has raised two

1209
01:22:14,840 --> 01:22:19,040
Speaker 1: point six million dollars since getting into this race in

1210
01:22:19,080 --> 01:22:28,320
Speaker 1: the summertime. By contrast, her conservative opponent, Maria Lazarre, has

1211
01:22:28,439 --> 01:22:34,720
Speaker 1: raised about two hundred and fifty thousand dollars I don't

1212
01:22:34,720 --> 01:22:40,479
Speaker 1: think I need to tell you that is abysmal. It

1213
01:22:40,600 --> 01:22:48,800
Speaker 1: is also paired with a candidacy that and I hate

1214
01:22:48,800 --> 01:22:53,040
Speaker 1: to say this because personally I like Maria so much.

1215
01:22:53,200 --> 01:22:56,080
Speaker 1: I think she has been a fantastic Appeals Court judge.

1216
01:22:56,720 --> 01:22:59,599
Speaker 1: I thought before that she was a fantastic Circuit Court judge,

1217
01:22:59,600 --> 01:23:02,360
Speaker 1: and I think you would be a fantastic Supreme Court judge.

1218
01:23:02,520 --> 01:23:05,280
Speaker 1: But the problem is, in order to be a fantastic judge,

1219
01:23:05,320 --> 01:23:09,880
Speaker 1: you first have to get elected to the position. She

1220
01:23:10,000 --> 01:23:16,720
Speaker 1: has run a lackluster campaign that frankly, has been so

1221
01:23:17,040 --> 01:23:22,719
Speaker 1: non descript that even I, who am paid to comment

1222
01:23:22,960 --> 01:23:27,799
Speaker 1: on this race specifically, no, not by the candidates or anything.

1223
01:23:27,840 --> 01:23:30,680
Speaker 1: This is what I do. Libs who say I'm on

1224
01:23:30,760 --> 01:23:34,920
Speaker 1: the take, No, I get paid to comment on Wisconsin politics.

1225
01:23:35,600 --> 01:23:39,120
Speaker 1: I'd like to think I am probably one of the

1226
01:23:39,280 --> 01:23:43,080
Speaker 1: more knowledgeable people about Wisconsin politics and Wisconsin elections and

1227
01:23:43,080 --> 01:23:47,360
Speaker 1: that sort of thing. I actually periodically forget that there

1228
01:23:47,400 --> 01:23:53,200
Speaker 1: is a Supreme Court election. That is how little attention

1229
01:23:53,320 --> 01:23:58,240
Speaker 1: is being paid to this race. The last two races,

1230
01:23:58,280 --> 01:24:02,840
Speaker 1: which were for ideologic control of the Court. Twenty twenty three,

1231
01:24:02,960 --> 01:24:08,000
Speaker 1: when Janet Protest Saywitz defeated Dan Kelly and twenty twenty

1232
01:24:08,040 --> 01:24:13,800
Speaker 1: five when Susan Crawford defeated Brad Schimmel. You could not

1233
01:24:14,120 --> 01:24:17,760
Speaker 1: escape the ads, You could not escape the discussion, You

1234
01:24:17,760 --> 01:24:21,400
Speaker 1: could not escape anything about those races. It consumed this

1235
01:24:21,560 --> 01:24:29,920
Speaker 1: program for pretty much three months at a time. This one, folks,

1236
01:24:29,920 --> 01:24:33,800
Speaker 1: I'm just gonna level with you here. It really is

1237
01:24:33,840 --> 01:24:37,400
Speaker 1: starting to feel like this race is already lost. Because

1238
01:24:37,400 --> 01:24:41,759
Speaker 1: as much attention as was paid to the Kelly Protis

1239
01:24:41,840 --> 01:24:46,800
Speaker 1: say Wits and Shimmel Crawford races, as much money as

1240
01:24:46,960 --> 01:24:50,880
Speaker 1: was raised and spent in those races, the Liberals won

1241
01:24:50,920 --> 01:25:00,320
Speaker 1: by double digits eleven points in each race, if memory serves.

1242
01:25:01,120 --> 01:25:06,400
Speaker 1: That was with the entire conservative movement energized, galvanized, and

1243
01:25:06,479 --> 01:25:11,280
Speaker 1: ready to go, especially with Shimmel. Now granted, and I

1244
01:25:11,280 --> 01:25:15,240
Speaker 1: don't want to be excuse making here, Schimmel ran. He

1245
01:25:15,320 --> 01:25:19,960
Speaker 1: ran a fine campaign. It's just fine Democrats were able

1246
01:25:20,000 --> 01:25:22,840
Speaker 1: to nationalize that race against Elon Musk. Remember when Musk

1247
01:25:22,960 --> 01:25:26,599
Speaker 1: gave the supposed Nazi salute and then he immediately got

1248
01:25:26,640 --> 01:25:32,240
Speaker 1: involved in the Wisconsin Supreme Court race. Yes, by the way,

1249
01:25:33,240 --> 01:25:36,000
Speaker 1: I do take some of the blame for that, for

1250
01:25:36,040 --> 01:25:39,439
Speaker 1: getting this race nationalized. I have long said, look, we

1251
01:25:39,479 --> 01:25:42,880
Speaker 1: need to compete with out of state liberal money. We

1252
01:25:42,960 --> 01:25:45,439
Speaker 1: need to get the heavy hitters involved. So what I

1253
01:25:45,600 --> 01:25:49,439
Speaker 1: did was was focused like a laser beam on what

1254
01:25:49,560 --> 01:25:53,240
Speaker 1: Democrats are doing right now, by the way, and I said, look,

1255
01:25:53,439 --> 01:25:58,160
Speaker 1: Susan Crawford attended a virtual meeting with big time donors

1256
01:25:58,960 --> 01:26:01,400
Speaker 1: in which the the title of the meeting was a

1257
01:26:01,560 --> 01:26:04,560
Speaker 1: chance to put two congressional seats in play in the midterms.

1258
01:26:05,680 --> 01:26:08,160
Speaker 1: The obvious implication they even said it in the description

1259
01:26:08,280 --> 01:26:11,520
Speaker 1: of the virtual meeting was if you elect Susan Crawford,

1260
01:26:11,760 --> 01:26:15,679
Speaker 1: she is going to strike down Wisconsin's congressional maps and

1261
01:26:15,880 --> 01:26:18,639
Speaker 1: she is going to Jerrymander them. So Derek Van Orden

1262
01:26:18,680 --> 01:26:22,439
Speaker 1: and Brian Style couldn't possibly win reelection, and that's how

1263
01:26:22,439 --> 01:26:25,639
Speaker 1: Democrats are going to retake control of the House. Well,

1264
01:26:26,120 --> 01:26:30,599
Speaker 1: I was screaming about this. I think I was at

1265
01:26:30,640 --> 01:26:34,160
Speaker 1: one point. Up to fifty thousand dollars was my offer

1266
01:26:34,240 --> 01:26:38,679
Speaker 1: to donate to the Wisconsin Democratic Party if anyone would

1267
01:26:38,680 --> 01:26:43,080
Speaker 1: give me a recording of that meeting video or audio.

1268
01:26:44,120 --> 01:26:46,160
Speaker 1: No one, of course, ever did, because they were rather

1269
01:26:46,200 --> 01:26:50,000
Speaker 1: obviously talking about Susan Crawford being put on the court

1270
01:26:50,080 --> 01:26:53,599
Speaker 1: specifically to strike down those congressional maps, which it looks

1271
01:26:53,640 --> 01:26:56,400
Speaker 1: as though the Wisconsin Supreme Court is going to do.

1272
01:26:56,439 --> 01:27:01,280
Speaker 1: You might remember they appointed two left lee left leaning,

1273
01:27:01,760 --> 01:27:07,160
Speaker 1: hardcore leftist panels of Circuit Court judges just completely contravening

1274
01:27:08,200 --> 01:27:13,280
Speaker 1: the Wisconsin Constitution. You're going to have the Wisconsin Supreme

1275
01:27:13,320 --> 01:27:16,519
Speaker 1: Court signed off on those congressional maps, and now you're

1276
01:27:16,520 --> 01:27:21,440
Speaker 1: going to have Circuit Court judges potentially overturn the Wisconsin

1277
01:27:21,520 --> 01:27:27,439
Speaker 1: Supreme Court. That's not constitutionally kosher. The Wisconsin Supreme Court

1278
01:27:27,479 --> 01:27:30,120
Speaker 1: is the highest court in the state under the state's constitution.

1279
01:27:30,560 --> 01:27:33,360
Speaker 1: No judge can overrule the Wisconsin Supreme Court unless it's

1280
01:27:33,400 --> 01:27:36,839
Speaker 1: a federal court on some federal issue that the Supreme

1281
01:27:36,880 --> 01:27:39,840
Speaker 1: Court got wrong. Court of Appeals can't overrule the Wisconsin

1282
01:27:39,880 --> 01:27:46,720
Speaker 1: Supreme Court. So I was right. This is exactly what

1283
01:27:46,800 --> 01:27:49,120
Speaker 1: Susan Crawford was put on the court to do. But

1284
01:27:49,200 --> 01:27:51,559
Speaker 1: what that did was that nationalized the race that gought

1285
01:27:51,560 --> 01:27:56,280
Speaker 1: Elon Musk involved and Democrats didn't even bother running against

1286
01:27:56,880 --> 01:28:02,840
Speaker 1: Brad Shimmel. They were running against Elon mush But this

1287
01:28:03,120 --> 01:28:08,040
Speaker 1: race last year was everywhere. It was ubiquitous, and Brad

1288
01:28:08,080 --> 01:28:12,760
Speaker 1: Shimmil had the misfortune of running right after Donald Trump won.

1289
01:28:13,080 --> 01:28:17,000
Speaker 1: That energized Democrats. They were going to show up and

1290
01:28:17,120 --> 01:28:20,799
Speaker 1: vote no matter who the candidate was. And when Elon

1291
01:28:20,960 --> 01:28:26,320
Speaker 1: Musk was the de facto candidate instead of Shimmel, that

1292
01:28:26,400 --> 01:28:30,160
Speaker 1: turned probably a six or seven point win for Crawford

1293
01:28:30,200 --> 01:28:35,880
Speaker 1: into an eleven point blowout. I'm just going to be

1294
01:28:35,920 --> 01:28:42,760
Speaker 1: completely frank with you all. With these fundraising numbers, I

1295
01:28:42,800 --> 01:28:46,200
Speaker 1: don't see how Marie Lazar gets within fifteen, if not

1296
01:28:46,479 --> 01:28:55,880
Speaker 1: twenty of Chrissy Taylor. I don't It is entirely possible

1297
01:28:56,720 --> 01:29:00,679
Speaker 1: that the Court of Appeals candidate, the conservative Anthony Coco,

1298
01:29:02,280 --> 01:29:07,400
Speaker 1: who's running in district to Lazar's old court. I believe

1299
01:29:07,439 --> 01:29:09,760
Speaker 1: he's running for Lazar's seat. Actually, I believe she had

1300
01:29:09,800 --> 01:29:12,120
Speaker 1: to give it up to run for the state Supreme Court.

1301
01:29:12,160 --> 01:29:17,320
Speaker 1: Someone could correct me if I'm wrong about that. Remember,

1302
01:29:17,400 --> 01:29:20,559
Speaker 1: he just recently found out that he is essentially running

1303
01:29:20,640 --> 01:29:26,439
Speaker 1: unopposed because his liberal opponent couldn't get on the ballot.

1304
01:29:26,479 --> 01:29:29,720
Speaker 1: The Wisconsin Elections Commission actually did the right thing and

1305
01:29:29,840 --> 01:29:32,920
Speaker 1: kept her off the ballot because she didn't properly submit

1306
01:29:32,960 --> 01:29:36,640
Speaker 1: her declaration of candidacy and unlawfully had her husband notarize it.

1307
01:29:38,080 --> 01:29:41,439
Speaker 1: Anthony Lecoco had something like one hundred and seventy five

1308
01:29:41,520 --> 01:29:46,519
Speaker 1: thousand dollars raised during the last reporting period. If he

1309
01:29:46,640 --> 01:29:50,040
Speaker 1: raises something like fifty seventy five thousand dollars more, he

1310
01:29:50,080 --> 01:29:54,880
Speaker 1: will have outraised the Supreme Court candidate. I'm not saying

1311
01:29:54,920 --> 01:29:59,920
Speaker 1: he did, but that just goes to show what an

1312
01:30:00,000 --> 01:30:03,320
Speaker 1: and a lot of people are gonna blame the Wisconsin

1313
01:30:03,360 --> 01:30:07,599
Speaker 1: Republican Party here, and Heaven knows, I have been very

1314
01:30:07,800 --> 01:30:12,240
Speaker 1: critical of the state party apparatus with respect to these

1315
01:30:12,479 --> 01:30:20,080
Speaker 1: nonpartisan races which are actually hyper partisan races. I think

1316
01:30:20,080 --> 01:30:23,040
Speaker 1: this one falls squarely on the candidate and her campaign.

1317
01:30:25,920 --> 01:30:30,439
Speaker 1: We are you energized to get out and vote for

1318
01:30:30,520 --> 01:30:36,600
Speaker 1: Mariell as are? I mean you should be. She's fantastic,

1319
01:30:36,680 --> 01:30:44,120
Speaker 1: she's a great speaker. But has there been any excitement,

1320
01:30:44,200 --> 01:30:49,720
Speaker 1: Has there been any buzz? Has there been anything to

1321
01:30:49,840 --> 01:30:54,360
Speaker 1: make you say, come hell or high water On the

1322
01:30:54,360 --> 01:30:56,920
Speaker 1: first Tuesday in April, I know I am going to

1323
01:30:56,920 --> 01:31:00,639
Speaker 1: be voting. I know I got to get Mariella's are elected.

1324
01:31:02,280 --> 01:31:07,240
Speaker 1: Chrissy Taylor is about as partisan a left wing hack

1325
01:31:07,640 --> 01:31:14,520
Speaker 1: as it gets Democrat member of the legislature, Planned parenthood

1326
01:31:14,800 --> 01:31:21,759
Speaker 1: advocate and representative. Dane County Circuit Court Judge uber Liberal

1327
01:31:23,720 --> 01:31:31,280
Speaker 1: overtly political, she should be nowhere near this court. Are

1328
01:31:31,280 --> 01:31:36,759
Speaker 1: you motivated to stop her? Are you motivated to crawl

1329
01:31:36,840 --> 01:31:41,200
Speaker 1: over broken glass to get to your polling place to

1330
01:31:41,600 --> 01:31:46,640
Speaker 1: mail in your absentee ballot? Folks, in these statewide elections,

1331
01:31:46,760 --> 01:31:53,400
Speaker 1: we are facing an uphill battle Tom Tiffany or Josh Showman.

1332
01:31:53,439 --> 01:31:57,000
Speaker 1: It's looking now like it's probably going to be Tiffany.

1333
01:31:57,560 --> 01:32:00,680
Speaker 1: They're going to have a difficult time this snow, just

1334
01:32:00,800 --> 01:32:05,960
Speaker 1: because midterm elections typically go for the party that doesn't

1335
01:32:06,000 --> 01:32:10,120
Speaker 1: control the White House, especially here in Wisconsin. There have

1336
01:32:10,200 --> 01:32:14,519
Speaker 1: only been two governors or gubernatorial candidates who have won

1337
01:32:15,040 --> 01:32:17,880
Speaker 1: when their party controls the White House, Tommy Thompson and

1338
01:32:17,960 --> 01:32:24,320
Speaker 1: Tony Evers in twenty twenty two. That's it. Tiffany, though,

1339
01:32:24,840 --> 01:32:27,959
Speaker 1: is raising much more money than any of his opponents,

1340
01:32:28,000 --> 01:32:29,960
Speaker 1: at least ones that we've seen thus far. I don't

1341
01:32:30,000 --> 01:32:34,639
Speaker 1: believe we've seen man deadbeat Barnes fundraising totals yet, as

1342
01:32:34,720 --> 01:32:38,799
Speaker 1: Francesca Hong released her fundraising totals, I haven't seen them.

1343
01:32:41,880 --> 01:32:46,160
Speaker 1: In order to win what I would consider to be

1344
01:32:46,200 --> 01:32:50,120
Speaker 1: a pretty big upset at this point. You've got to

1345
01:32:50,120 --> 01:32:52,960
Speaker 1: blow the doors off fundraising. You have got to be

1346
01:32:53,000 --> 01:32:56,840
Speaker 1: in every corner of the state. You have got to

1347
01:32:56,880 --> 01:33:03,120
Speaker 1: give not just voters, but donors and everybody a reason

1348
01:33:03,200 --> 01:33:08,679
Speaker 1: to vote for you, or, in the alternative, a reason

1349
01:33:08,880 --> 01:33:13,560
Speaker 1: to vote for you as a way of stopping your opponent.

1350
01:33:16,040 --> 01:33:20,520
Speaker 1: I'm sorry, I just haven't seen that from Lazar's campaign,

1351
01:33:21,080 --> 01:33:24,880
Speaker 1: and you might remember very early on I was highly

1352
01:33:24,960 --> 01:33:30,880
Speaker 1: critical of said campaign because Lazar seems like the latest

1353
01:33:30,880 --> 01:33:33,800
Speaker 1: in a long line of conservative judicial candidates who don't

1354
01:33:33,840 --> 01:33:38,600
Speaker 1: want to talk about the issues that Americans care about.

1355
01:33:39,360 --> 01:33:41,599
Speaker 1: Tiffany has done a great job. He is all over

1356
01:33:41,680 --> 01:33:46,240
Speaker 1: social media with his Tom Tiffany war Room. His campaign

1357
01:33:46,280 --> 01:33:49,479
Speaker 1: account and this Tiffany warroom are commenting on pretty much

1358
01:33:49,600 --> 01:33:52,960
Speaker 1: every state issue. They've got videos, they're doing multimedia stuff.

1359
01:33:52,960 --> 01:33:55,040
Speaker 1: They're doing a great job. Where is the Marial is

1360
01:33:55,080 --> 01:33:58,800
Speaker 1: our war room? Where is Marial? Azar? Should have been

1361
01:33:58,880 --> 01:34:03,080
Speaker 1: on every conservative show yesterday talking about the United States

1362
01:34:03,120 --> 01:34:07,599
Speaker 1: Supreme Courts oral arguments in the boys can't play in Girls'

1363
01:34:07,600 --> 01:34:14,760
Speaker 1: sports cases. This is put up on a tee. This

1364
01:34:14,840 --> 01:34:17,640
Speaker 1: is a tea with a whiffle ball and one of

1365
01:34:17,680 --> 01:34:20,400
Speaker 1: those thunder bats or whatever the heck major leaguers are

1366
01:34:20,479 --> 01:34:23,840
Speaker 1: using what were those things called that the Yankees were

1367
01:34:23,920 --> 01:34:27,200
Speaker 1: hitting all those torpedo bats. Thank you very much, Armit.

1368
01:34:27,680 --> 01:34:29,679
Speaker 1: That's why we keep you around as a sports guy.

1369
01:34:30,000 --> 01:34:33,960
Speaker 1: The torpedo bats. This was This was a whiffle ball

1370
01:34:34,400 --> 01:34:37,479
Speaker 1: put on a tee and Marie Lazar could hammer it

1371
01:34:37,560 --> 01:34:42,800
Speaker 1: out of the county with a torpedo bat. That's how

1372
01:34:42,880 --> 01:34:45,080
Speaker 1: much that issue sets up for her. She's nowhere to

1373
01:34:45,120 --> 01:34:50,599
Speaker 1: be found on it. The four hundred year property tax.

1374
01:34:50,760 --> 01:34:53,519
Speaker 1: When people are opening up their property tax bills and saying,

1375
01:34:53,760 --> 01:34:56,320
Speaker 1: oh my god, I'm paying one thousand dollars more than

1376
01:34:56,360 --> 01:34:59,719
Speaker 1: I did last year, she should be out there saying, Okay,

1377
01:35:00,160 --> 01:35:03,960
Speaker 1: the Wisconsin Supreme Court is almost certain to overturn Act ten.

1378
01:35:05,680 --> 01:35:09,320
Speaker 1: If you don't want that to happen, even though there's

1379
01:35:09,320 --> 01:35:12,080
Speaker 1: really no way she could stop it. If you don't

1380
01:35:12,120 --> 01:35:15,080
Speaker 1: want decisions like that to happen, you have to vote

1381
01:35:15,160 --> 01:35:18,320
Speaker 1: for me. You have to keep Christine Taylor off the

1382
01:35:18,360 --> 01:35:21,040
Speaker 1: court where you are going to continue to get decisions

1383
01:35:21,320 --> 01:35:23,719
Speaker 1: like the one in the Wisconsin Supreme Court that upheld

1384
01:35:23,720 --> 01:35:28,559
Speaker 1: Governor Evers four hundred year property tax veto the one

1385
01:35:28,600 --> 01:35:31,360
Speaker 1: that is ensuring that your property taxes are going to

1386
01:35:31,360 --> 01:35:33,880
Speaker 1: go up by about one thousand dollars every single year.

1387
01:35:34,320 --> 01:35:37,720
Speaker 1: You know where to be found on that. To me,

1388
01:35:37,840 --> 01:35:44,360
Speaker 1: this is political malpractice. I think Lazar can turn it around.

1389
01:35:45,920 --> 01:35:50,439
Speaker 1: She needs to be everywhere. She needs to be calling

1390
01:35:50,720 --> 01:35:56,080
Speaker 1: every conservative donor from here to Timbuck two in order

1391
01:35:56,160 --> 01:36:00,479
Speaker 1: to get as much money into this race as humanly possible. Now,

1392
01:36:00,520 --> 01:36:02,600
Speaker 1: I don't know. Maybe they're not raising a ton of

1393
01:36:02,600 --> 01:36:07,040
Speaker 1: money because they've got insane political action committee or pack support.

1394
01:36:07,160 --> 01:36:10,840
Speaker 1: I doubt it. Maybe that's the excuse. I don't know.

1395
01:36:14,240 --> 01:36:20,440
Speaker 1: And it's very fashionable to blame the party and party leadership.

1396
01:36:21,040 --> 01:36:26,240
Speaker 1: Heaven knows, I've done that. But frankly, folks, at some

1397
01:36:26,360 --> 01:36:30,479
Speaker 1: point the candidate and the candidates campaign need a swift

1398
01:36:30,640 --> 01:36:34,679
Speaker 1: kick in the rear end to get this thing in gear,

1399
01:36:34,760 --> 01:36:39,800
Speaker 1: because folks, it's what January fourteenth primary is in about

1400
01:36:39,800 --> 01:36:42,479
Speaker 1: a month, and then we have got a sprint. Now,

1401
01:36:42,479 --> 01:36:44,400
Speaker 1: there isn't going to be a primary because there are

1402
01:36:44,439 --> 01:36:47,280
Speaker 1: only two declared candidates for the state Supreme Court. But

1403
01:36:47,439 --> 01:36:50,200
Speaker 1: then you have got an all out sprint too, and

1404
01:36:50,280 --> 01:36:52,240
Speaker 1: you're gonna have to forgive me, what day is the

1405
01:36:52,280 --> 01:36:56,400
Speaker 1: spring election this year? I believe it's the seventh Spring

1406
01:36:56,439 --> 01:37:04,680
Speaker 1: election twenty twenty six. The primary is the seventeenth, and

1407
01:37:06,000 --> 01:37:08,839
Speaker 1: come on vote for one to one load dog gunnet.

1408
01:37:10,320 --> 01:37:13,599
Speaker 1: It is April seventh, Tuesday, April seventh, twenty twenty six.

1409
01:37:15,880 --> 01:37:19,960
Speaker 1: That's two and a half months, give or take less

1410
01:37:20,000 --> 01:37:24,200
Speaker 1: than three months. You have got an all out sprint

1411
01:37:25,360 --> 01:37:29,040
Speaker 1: to ensure that we don't have a liberal hack Supreme

1412
01:37:29,080 --> 01:37:34,240
Speaker 1: Court for the next decade plus fifteen to twenty years.

1413
01:37:34,920 --> 01:37:37,840
Speaker 1: That is what's likely at stake. The Liberals control the

1414
01:37:37,920 --> 01:37:43,439
Speaker 1: Supreme Court, and ultimately it doesn't matter much what Tom

1415
01:37:43,520 --> 01:37:48,760
Speaker 1: Tiffany does if he wins. Governor Tiffany gets essentially vetoed

1416
01:37:49,400 --> 01:37:51,599
Speaker 1: every time he tries to put a policy into place

1417
01:37:51,760 --> 01:37:54,360
Speaker 1: by a Wisconsin Supreme Court that is going to act

1418
01:37:54,360 --> 01:37:57,120
Speaker 1: and already has acted like a super legislature and not

1419
01:37:57,240 --> 01:38:01,599
Speaker 1: allow any sort of meaningful conservative ORMs at all. You

1420
01:38:01,640 --> 01:38:04,960
Speaker 1: are listening to the Dan o'donald show. Conservative thoughts, not

1421
01:38:05,360 --> 01:38:17,639
Speaker 1: just talk. It's coming right back in three minutes, welcome back.

1422
01:38:17,680 --> 01:38:21,160
Speaker 1: Working on a couple of stories for tomorrow. Is actually

1423
01:38:21,200 --> 01:38:24,360
Speaker 1: texting a couple of people to try to bring you

1424
01:38:24,840 --> 01:38:28,519
Speaker 1: every single day, exclusive news that you will only get

1425
01:38:28,600 --> 01:38:31,680
Speaker 1: right here on the Dan o'donald Show, and analysis that

1426
01:38:32,439 --> 01:38:42,160
Speaker 1: is occasionally uncomfortable but is unfortunately always needed. Maria Azar

1427
01:38:42,280 --> 01:38:45,760
Speaker 1: has only raised about two hundred thousand dollars compared to

1428
01:38:46,000 --> 01:38:52,840
Speaker 1: her opponent, Chrissy Taylor's two point six million. By way

1429
01:38:52,880 --> 01:38:59,160
Speaker 1: of comparison, money has flowed into Tom Tiffany two million bucks,

1430
01:38:59,320 --> 01:39:03,720
Speaker 1: a million dollar Josh Showman. Yes, I get it, I

1431
01:39:03,880 --> 01:39:07,639
Speaker 1: get it. Not only is this race not for control

1432
01:39:07,680 --> 01:39:12,200
Speaker 1: of the Wisconsin Supreme Court, but there there is I

1433
01:39:12,240 --> 01:39:16,439
Speaker 1: think a lot of donor burnout and apprehension after losing

1434
01:39:16,520 --> 01:39:20,880
Speaker 1: two straight Supreme Court races by double digits, three straight.

1435
01:39:20,920 --> 01:39:24,680
Speaker 1: If you consider twenty twenty when Dan Kelly lost to

1436
01:39:24,920 --> 01:39:29,040
Speaker 1: Jill Korowsky in what he was able to convince pretty

1437
01:39:29,120 --> 01:39:32,519
Speaker 1: much everybody in Wisconsin was a fluke because of COVID nineteen,

1438
01:39:32,560 --> 01:39:36,519
Speaker 1: turns out it wasn't. He lost to janetprotis Sewitz by

1439
01:39:36,560 --> 01:39:39,679
Speaker 1: a bigger margin in twenty twenty three than he did

1440
01:39:39,720 --> 01:39:46,679
Speaker 1: three years earlier. Things have gotten so bad in Supreme

1441
01:39:46,680 --> 01:39:53,360
Speaker 1: Court races that the incumbent Justice, the very very talented

1442
01:39:53,840 --> 01:39:58,040
Speaker 1: Rebecca Bradley said Look, I'm not going to get the

1443
01:39:58,160 --> 01:40:01,400
Speaker 1: support that I need to win real life. I need

1444
01:40:01,439 --> 01:40:05,080
Speaker 1: to call it a career. Even if I win, I'm

1445
01:40:05,280 --> 01:40:07,800
Speaker 1: gonna be in the minority who wants to do that.

1446
01:40:08,520 --> 01:40:11,720
Speaker 1: I'll give Marie a whole lot of credit for stepping it.

1447
01:40:11,760 --> 01:40:15,160
Speaker 1: By the way, the second District Court of Appeals, they

1448
01:40:15,160 --> 01:40:17,400
Speaker 1: are running for Lisa Nubauer seat. I had gotten that

1449
01:40:17,439 --> 01:40:19,560
Speaker 1: wrong for some reason. I got in my head momentarily

1450
01:40:20,160 --> 01:40:22,759
Speaker 1: that Lazar needed to give up her seat. I'm guessing

1451
01:40:22,920 --> 01:40:25,479
Speaker 1: she wouldn't have done so she stays on the District

1452
01:40:25,479 --> 01:40:28,840
Speaker 1: two Court of Appeals if she loses this race. I'm

1453
01:40:28,880 --> 01:40:32,800
Speaker 1: guessing she wouldn't have gotten into this race if she

1454
01:40:33,000 --> 01:40:36,080
Speaker 1: would have had to give up her seat. Tiffany needs

1455
01:40:36,120 --> 01:40:38,320
Speaker 1: to give up his seat in Congress in order to

1456
01:40:38,520 --> 01:40:41,559
Speaker 1: run for governor, so he's putting all these eggs in

1457
01:40:41,640 --> 01:40:48,400
Speaker 1: the gubernatorial basket. I get it. And a number of

1458
01:40:48,479 --> 01:40:52,400
Speaker 1: Lazar supporters have emailed me and they have texted me

1459
01:40:52,520 --> 01:40:55,639
Speaker 1: on the advtnows dot com talk and text line saying, look, Dan,

1460
01:40:55,720 --> 01:40:58,320
Speaker 1: she is working the events. I've seen her in a

1461
01:40:58,520 --> 01:41:01,280
Speaker 1: number of different counties. Yes, I know, I get that

1462
01:41:03,600 --> 01:41:07,720
Speaker 1: she is not doing the things though, that are generating

1463
01:41:07,920 --> 01:41:13,600
Speaker 1: donor interest, either big number or small number. She's not

1464
01:41:13,720 --> 01:41:19,879
Speaker 1: getting the whales like Diane Hendricks and the e Lines

1465
01:41:20,200 --> 01:41:22,800
Speaker 1: and some of the other big donors in this state

1466
01:41:22,840 --> 01:41:27,720
Speaker 1: who routinely contribute to conservative and Republican candidates. And she

1467
01:41:27,840 --> 01:41:31,559
Speaker 1: also doesn't appear to be exciting the grassroots, where she's

1468
01:41:31,600 --> 01:41:33,600
Speaker 1: at least able to point to, well, I've got so

1469
01:41:33,680 --> 01:41:37,840
Speaker 1: many small dollar donations that it doesn't add up to

1470
01:41:37,880 --> 01:41:40,599
Speaker 1: a big amount, and all I need is one big check.

1471
01:41:41,520 --> 01:41:44,080
Speaker 1: I just don't think And part of this, folks, part

1472
01:41:44,120 --> 01:41:48,840
Speaker 1: of this is not Lazarre's fault, because I think a

1473
01:41:48,880 --> 01:41:51,799
Speaker 1: lot of the donors are just they're saying, Look, control

1474
01:41:51,800 --> 01:41:55,320
Speaker 1: of the court isn't at stake. We gave a whole

1475
01:41:55,360 --> 01:41:57,960
Speaker 1: lot of money the last two times around, only to

1476
01:41:58,000 --> 01:42:01,600
Speaker 1: lose by double digits. Apped out. We're saving all of

1477
01:42:01,640 --> 01:42:05,880
Speaker 1: our money for the gubernatorial race, which is eminently winnable,

1478
01:42:06,040 --> 01:42:09,320
Speaker 1: especially if Democrats are stupid enough to run a crazy

1479
01:42:09,360 --> 01:42:14,000
Speaker 1: person like Francesco Hong or a man deadbeat Barnes. I

1480
01:42:14,120 --> 01:42:20,519
Speaker 1: understand all of this. At the same time, I am

1481
01:42:20,560 --> 01:42:24,200
Speaker 1: not seeing a big presence for Maria Lazar on social media.

1482
01:42:24,560 --> 01:42:27,479
Speaker 1: I have yet to see a Maria Lazaar for Judge

1483
01:42:27,600 --> 01:42:33,679
Speaker 1: for Justice campaign ad on television or radio. It's probably

1484
01:42:33,760 --> 01:42:35,960
Speaker 1: a reason for that that she hasn't raised any money

1485
01:42:35,960 --> 01:42:42,320
Speaker 1: that she's able to spend. I have not seen a

1486
01:42:42,439 --> 01:42:46,360
Speaker 1: robust get out the vote effort, either by her campaign

1487
01:42:46,479 --> 01:42:49,439
Speaker 1: or in support of her campaign. Yes, I know that

1488
01:42:49,479 --> 01:42:53,040
Speaker 1: the vote isn't out there yet. We don't have ballots

1489
01:42:53,040 --> 01:42:55,599
Speaker 1: in the wild just yet, we're not doing ballot chasing

1490
01:42:55,640 --> 01:43:00,280
Speaker 1: events just yet. But I'm just not seeing this same

1491
01:43:00,360 --> 01:43:04,519
Speaker 1: level of engagement at this point in the election cycle

1492
01:43:04,600 --> 01:43:08,639
Speaker 1: that I saw in either twenty twenty three or twenty

1493
01:43:08,680 --> 01:43:12,680
Speaker 1: twenty five. And that, to me, is a big flashing

1494
01:43:13,240 --> 01:43:17,640
Speaker 1: warning sign. And this is not at all personal. This

1495
01:43:17,800 --> 01:43:21,000
Speaker 1: is not me ripping conservative candidates just to rip them.

1496
01:43:21,360 --> 01:43:24,519
Speaker 1: I am doing this as a wake up call because

1497
01:43:24,560 --> 01:43:28,320
Speaker 1: this race can be one, ladies and gentlemen, It absolutely

1498
01:43:28,360 --> 01:43:31,960
Speaker 1: can be one. We just need to focus on it.

1499
01:43:33,600 --> 01:43:36,120
Speaker 1: The party needs to focus on it, the candidate and

1500
01:43:36,240 --> 01:43:40,439
Speaker 1: her campaign needs to focus on it, and all have

1501
01:43:40,560 --> 01:43:44,880
Speaker 1: to have a more concerted effort to get this race

1502
01:43:45,160 --> 01:43:49,400
Speaker 1: in front of people and in their minds as being

1503
01:43:49,439 --> 01:43:51,680
Speaker 1: as incredibly important as it is. You're listening to the

1504
01:43:51,720 --> 01:44:03,320
Speaker 1: Dan O'donald Show, We'll be right back. Okay, I'm not

1505
01:44:03,360 --> 01:44:07,599
Speaker 1: gonna lie. I was actually laughing during that commercial break.

1506
01:44:08,000 --> 01:44:12,280
Speaker 1: Couple of things. I was on Facebook and Monica Kesseler

1507
01:44:12,360 --> 01:44:14,559
Speaker 1: reached out to me and said, hey, Dan, I heard

1508
01:44:15,040 --> 01:44:19,200
Speaker 1: you need a meteorite wedding band. Here's how you get

1509
01:44:19,200 --> 01:44:22,439
Speaker 1: when you can actually customize it, and she sent me

1510
01:44:22,479 --> 01:44:25,639
Speaker 1: a link to the website lash Brook, which they apparently

1511
01:44:25,680 --> 01:44:28,640
Speaker 1: partner with. You can make your own rings. I was

1512
01:44:28,760 --> 01:44:31,559
Speaker 1: actually having some fun looking at that. No, I don't

1513
01:44:31,560 --> 01:44:35,080
Speaker 1: actually need a new wedding band. I have one. I

1514
01:44:35,200 --> 01:44:39,400
Speaker 1: don't plan on getting married again. That would be certainly

1515
01:44:39,439 --> 01:44:42,360
Speaker 1: news to my wife. And I'm in Wisconsin and not

1516
01:44:42,520 --> 01:44:49,560
Speaker 1: util I'm kidding. I'm kidding, I'm kidding. Then I realized

1517
01:44:50,120 --> 01:44:53,160
Speaker 1: that so I was posting something about the Madison East

1518
01:44:53,200 --> 01:44:56,200
Speaker 1: and West kids just walking out, and I thought it

1519
01:44:56,320 --> 01:45:00,479
Speaker 1: was funny, and I decided to change up. Normally, I

1520
01:45:00,600 --> 01:45:03,679
Speaker 1: just cut and paste, copy and paste whatever I post

1521
01:45:03,760 --> 01:45:07,400
Speaker 1: on x onto Facebook, but I decided to do some

1522
01:45:07,520 --> 01:45:10,120
Speaker 1: quick editing, and then I had to walk into a meeting. Well.

1523
01:45:10,160 --> 01:45:12,759
Speaker 1: I realized when I hit send that I had fat

1524
01:45:12,800 --> 01:45:14,800
Speaker 1: fingered a number of where you know what happens. I

1525
01:45:15,360 --> 01:45:20,559
Speaker 1: got bad eyes and fat thumbs, so the autocorrect did

1526
01:45:20,560 --> 01:45:23,240
Speaker 1: not save me, and some of the words came out

1527
01:45:23,360 --> 01:45:27,800
Speaker 1: just kind of mangled. Well, I'm in a meeting, come

1528
01:45:27,840 --> 01:45:32,439
Speaker 1: out and realized that every lefty in the world is

1529
01:45:33,000 --> 01:45:37,880
Speaker 1: trying to dunk on me by saying that I don't

1530
01:45:37,880 --> 01:45:43,080
Speaker 1: know how to spell. So here is a challenge to

1531
01:45:43,200 --> 01:45:45,960
Speaker 1: one and all. In fact, there is some guy who

1532
01:45:46,000 --> 01:45:49,479
Speaker 1: posted on Facebook and he's got like five hundred like

1533
01:45:49,560 --> 01:45:55,240
Speaker 1: show the far right wing radio host Dan O'Donnell doesn't

1534
01:45:55,320 --> 01:45:58,720
Speaker 1: even know how to spell. So I'm actually I was

1535
01:45:58,760 --> 01:46:03,479
Speaker 1: actually laughing while a reply and all of let's see

1536
01:46:03,479 --> 01:46:07,439
Speaker 1: what are what are all of the people writing what

1537
01:46:07,600 --> 01:46:12,599
Speaker 1: a loser? Boycott anything this bleephole does ads for bleep

1538
01:46:12,800 --> 01:46:18,720
Speaker 1: you loser. This guy is a dork. He's a real dipstick.

1539
01:46:20,520 --> 01:46:24,479
Speaker 1: So I'm in the process of writing a comment ha ha,

1540
01:46:24,760 --> 01:46:27,360
Speaker 1: look at you losers. Go If the best any of

1541
01:46:27,400 --> 01:46:31,600
Speaker 1: you have is a fat fingered post, I'm actually underestimating

1542
01:46:31,680 --> 01:46:34,760
Speaker 1: how little substance you actually have. I'm on three to

1543
01:46:34,840 --> 01:46:37,640
Speaker 1: six Central every weekday and welcome one in all to

1544
01:46:37,760 --> 01:46:40,960
Speaker 1: call in and try to prove to my listeners how

1545
01:46:41,000 --> 01:46:44,719
Speaker 1: stupid I am four one, four, seven, nine, nine, eleven thirty.

1546
01:46:45,120 --> 01:46:48,280
Speaker 1: I'm sure none of you have the balls to call

1547
01:46:49,280 --> 01:46:57,559
Speaker 1: think any of them will. Doubtful? All right, speaking of

1548
01:46:57,640 --> 01:47:05,920
Speaker 1: breaking bad given serious heel turned vibes, Milwaukee Bucks superstar

1549
01:47:06,479 --> 01:47:11,040
Speaker 1: Janis Antetakoupo was getting booed along with the rest of

1550
01:47:11,080 --> 01:47:15,880
Speaker 1: the Bucks in a truly humiliating, what thirty some point

1551
01:47:16,040 --> 01:47:21,920
Speaker 1: loss to the Minnesota Timberwolves at home last night, absolutely abysmal.

1552
01:47:24,560 --> 01:47:28,360
Speaker 1: Yannis goes to the hole, he gets fouled. I don't

1553
01:47:28,360 --> 01:47:30,880
Speaker 1: believe it was called, and he banks in a shot.

1554
01:47:30,960 --> 01:47:35,000
Speaker 1: He hears booze while he's sitting on the ground. He

1555
01:47:35,120 --> 01:47:39,360
Speaker 1: starts going boo while giving the double thumbs down gesture

1556
01:47:40,120 --> 01:47:48,320
Speaker 1: to the crowd, gets up and continues yelling boo boo. Afterwards,

1557
01:47:48,439 --> 01:47:52,000
Speaker 1: he was asked about that in the locker room, kind

1558
01:47:52,000 --> 01:47:55,160
Speaker 1: of gesturing or booing back like sarcastically after.

1559
01:47:56,880 --> 01:47:59,439
Speaker 8: When I get boo boo back, I've been in all season.

1560
01:48:00,160 --> 01:48:01,720
Speaker 8: You guys have me maybe with you on the road

1561
01:48:01,800 --> 01:48:05,679
Speaker 8: whenever I get blue b back, I mean, it doesn't matter.

1562
01:48:06,160 --> 01:48:08,920
Speaker 8: I don't it doesn't matter, you know, it does not matter.

1563
01:48:09,320 --> 01:48:11,320
Speaker 8: It doesn't matter. I play basket for my teammates. I

1564
01:48:11,400 --> 01:48:14,200
Speaker 8: play basket for myself and my family. When people don't

1565
01:48:14,240 --> 01:48:16,120
Speaker 8: believe in me, I don't tend to be with them.

1566
01:48:16,120 --> 01:48:18,200
Speaker 8: I tend to be a kinst. I tend to do

1567
01:48:19,320 --> 01:48:24,960
Speaker 8: what I I'm sure to do what I'm good at. Right. Oh,

1568
01:48:25,360 --> 01:48:28,360
Speaker 8: I think I think I'm like a Maverick. I'm always

1569
01:48:28,400 --> 01:48:30,559
Speaker 8: been that way, so it won't change now. It doesn't

1570
01:48:30,560 --> 01:48:34,800
Speaker 8: matter if I'm a home away. But yeah, I've never

1571
01:48:34,840 --> 01:48:36,240
Speaker 8: been a part of something like that before, and I

1572
01:48:36,240 --> 01:48:41,200
Speaker 8: don't think it's fair. I don't, but everybody has their

1573
01:48:41,200 --> 01:48:43,320
Speaker 8: opinion to do what they should, what they.

1574
01:48:43,200 --> 01:48:52,040
Speaker 1: Want to do. I'm sorry this guy. I know what

1575
01:48:52,080 --> 01:48:57,120
Speaker 1: he just said. I just said the Bucks are gonna

1576
01:48:57,120 --> 01:48:59,600
Speaker 1: have to trade him. He's never going to demand a trade.

1577
01:48:59,760 --> 01:49:02,759
Speaker 1: I'm I'm telling you. The man is done. He wants

1578
01:49:02,800 --> 01:49:06,160
Speaker 1: a new team, he wants a new organization, he wants

1579
01:49:06,160 --> 01:49:12,679
Speaker 1: a new chance at winning. His head coach basically said

1580
01:49:12,680 --> 01:49:15,840
Speaker 1: in his introductory press conference doctors. Yeah, they had to

1581
01:49:15,880 --> 01:49:17,760
Speaker 1: convince me to do this. I really didn't want to

1582
01:49:17,760 --> 01:49:21,200
Speaker 1: come out of retirement. I was perfectly happy golfing and

1583
01:49:21,400 --> 01:49:25,400
Speaker 1: just enjoying my life. His heart's not in it. His

1584
01:49:25,479 --> 01:49:32,480
Speaker 1: head's not in it. He'd much rather make idiotic comments

1585
01:49:32,520 --> 01:49:38,400
Speaker 1: about the ice Minneapolis shooting than actually construct a cogent

1586
01:49:38,640 --> 01:49:41,960
Speaker 1: defensive game plan. What did the Timberwolves shoot eighty five

1587
01:49:42,040 --> 01:49:48,400
Speaker 1: percent from three last night? Doc Rivers is an abomination

1588
01:49:48,920 --> 01:49:52,560
Speaker 1: as a coach right now. The Bucks are an embarrassment,

1589
01:49:53,360 --> 01:49:57,920
Speaker 1: and frankly, Gianness would be stupid if he wanted to

1590
01:49:58,000 --> 01:50:02,080
Speaker 1: stick with this dumpster fire. But at the same time,

1591
01:50:02,479 --> 01:50:05,600
Speaker 1: he knows how much he means to this city. He

1592
01:50:05,680 --> 01:50:08,719
Speaker 1: knows what a role model he is. He genuinely loves

1593
01:50:08,760 --> 01:50:12,600
Speaker 1: this city, genuinely loves the organization, and I think the

1594
01:50:12,680 --> 01:50:15,680
Speaker 1: last thing he wants to be is the bad guy

1595
01:50:15,720 --> 01:50:18,800
Speaker 1: who's forcing his way out of town. He doesn't want

1596
01:50:18,840 --> 01:50:22,720
Speaker 1: to be hated. Does anybody want to be hated? I

1597
01:50:22,760 --> 01:50:28,120
Speaker 1: mean me trolling every liberal on Facebook. I kind of

1598
01:50:28,160 --> 01:50:34,120
Speaker 1: like being hated by them, but that's me. I'm half nuts.

1599
01:50:35,240 --> 01:50:39,120
Speaker 1: I just don't see a scenario. He's probably not going

1600
01:50:39,160 --> 01:50:43,240
Speaker 1: to be traded at the deadline, but I just don't

1601
01:50:43,280 --> 01:50:49,639
Speaker 1: see a scenario where Yannis, who has said repeatedly all

1602
01:50:49,680 --> 01:50:51,840
Speaker 1: I want to do is win. The only thing that

1603
01:50:51,880 --> 01:50:56,320
Speaker 1: matters to me is winning, sticking with an organization that

1604
01:50:56,479 --> 01:50:59,599
Speaker 1: does not appear to have the faintest clue right now

1605
01:51:00,080 --> 01:51:02,360
Speaker 1: of how to win. And by the way, how grateful

1606
01:51:02,560 --> 01:51:05,679
Speaker 1: is Doc Rivers. I saw someone tweet this out this morning.

1607
01:51:05,720 --> 01:51:08,559
Speaker 1: I had to retweet it. How grateful is Doc Rivers

1608
01:51:08,560 --> 01:51:11,960
Speaker 1: that all of the discourse about poor coaching is on

1609
01:51:12,200 --> 01:51:15,080
Speaker 1: Matt Lafleur right now, Because if there is any coach

1610
01:51:15,120 --> 01:51:19,200
Speaker 1: in Milwaukee or Wisconsin who deserves to be fired, it

1611
01:51:19,320 --> 01:51:23,639
Speaker 1: is most certainly Doc right now, who is failing so badly.

1612
01:51:24,040 --> 01:51:26,800
Speaker 1: The best player in franchise history might be gone in

1613
01:51:26,880 --> 01:51:27,280
Speaker 1: a month.