1
00:00:00,080 --> 00:00:04,160
Speaker 1: Hey guys, and welcome to Normally, the podcast with normalist

2
00:00:04,240 --> 00:00:06,800
Speaker 1: takes for when the news gets weird. I'm Mary Catherine

3
00:00:06,800 --> 00:00:09,880
Speaker 1: Ham now I'm Carol Markowitz, and we are so excited

4
00:00:09,880 --> 00:00:11,520
Speaker 1: to have you with us. We kind of feel like

5
00:00:11,520 --> 00:00:14,880
Speaker 1: we're just getting our feet under us with Normally, but

6
00:00:15,160 --> 00:00:16,960
Speaker 1: we kind of hit the ground running. There's a lot

7
00:00:16,960 --> 00:00:20,280
Speaker 1: of people who downloaded the first episode of the podcast.

8
00:00:20,840 --> 00:00:23,960
Speaker 1: Very nice. So all you normies who are here listening,

9
00:00:24,000 --> 00:00:27,040
Speaker 1: we appreciate you and the almost normies. We're glad to

10
00:00:27,040 --> 00:00:28,600
Speaker 1: have you with us on this journey.

11
00:00:28,800 --> 00:00:31,520
Speaker 2: Well said MK, I love it. Yeah, We're so happy

12
00:00:31,520 --> 00:00:33,800
Speaker 2: to have you all. We're going to get right into

13
00:00:33,880 --> 00:00:37,000
Speaker 2: it today. We're going to talk about a Wall Street

14
00:00:37,080 --> 00:00:41,920
Speaker 2: Journal article about how homelessness numbers are way way up.

15
00:00:42,159 --> 00:00:44,640
Speaker 2: The Wall Street Journal reports that in twenty twenty three,

16
00:00:44,680 --> 00:00:47,479
Speaker 2: we had the highest number since the time that the

17
00:00:47,520 --> 00:00:50,640
Speaker 2: government started reporting this data in two thousand and seven,

18
00:00:50,960 --> 00:00:54,320
Speaker 2: and that this number is going up because of homeless migrants.

19
00:00:54,680 --> 00:00:57,560
Speaker 2: The Wall Street Journal rights migrants bust by Texas to

20
00:00:57,680 --> 00:01:00,840
Speaker 2: Chicago and Denver contributed to the latest increases when they

21
00:01:00,920 --> 00:01:04,640
Speaker 2: land in shelters there. Migrants have arrived in significant numbers

22
00:01:04,680 --> 00:01:07,440
Speaker 2: in New York, which has long had, of course a

23
00:01:07,520 --> 00:01:10,559
Speaker 2: legal right to shelter, swelling numbers in last year's count.

24
00:01:11,880 --> 00:01:15,440
Speaker 2: Now they add the latest homeless accounts were largely done

25
00:01:15,480 --> 00:01:18,960
Speaker 2: in January, just after the US set a record for

26
00:01:19,120 --> 00:01:25,200
Speaker 2: illegal border crossing. This is really personal and annoying to me.

27
00:01:25,680 --> 00:01:28,880
Speaker 2: I am an immigrant, and it's insane to me that

28
00:01:28,920 --> 00:01:33,920
Speaker 2: we allow this illegal immigration problem to fester and that

29
00:01:34,000 --> 00:01:37,200
Speaker 2: it ends up hitting our streets in the number of

30
00:01:37,200 --> 00:01:40,319
Speaker 2: homeless people who live on you know, intents, on our blocks.

31
00:01:40,840 --> 00:01:43,440
Speaker 2: I came to this country as a refugee from the

32
00:01:43,440 --> 00:01:46,679
Speaker 2: Soviet Union in the late nineteen seventies, and part of

33
00:01:46,720 --> 00:01:49,280
Speaker 2: the process was that somebody had to vouch for our

34
00:01:49,320 --> 00:01:52,200
Speaker 2: family that we would not be a drain on public funds.

35
00:01:53,200 --> 00:01:57,120
Speaker 2: And the idea that you get to America and you say, okay,

36
00:01:57,160 --> 00:01:59,760
Speaker 2: take care of us was out of the question. It's

37
00:01:59,800 --> 00:02:04,640
Speaker 2: really the stark and a problem to me that we've

38
00:02:04,680 --> 00:02:06,000
Speaker 2: moved so far away from that.

39
00:02:07,040 --> 00:02:09,640
Speaker 1: Yeah, we moved so far away from that that to

40
00:02:09,880 --> 00:02:15,280
Speaker 1: even say out loud that maybe there should be a

41
00:02:15,360 --> 00:02:19,639
Speaker 1: system by which we regulate exactly who comes into which

42
00:02:19,639 --> 00:02:22,080
Speaker 1: cities and in what numbers and for what reasons. I

43
00:02:22,080 --> 00:02:24,919
Speaker 1: believe Jamie Diamond recently said that there should be more

44
00:02:24,960 --> 00:02:28,760
Speaker 1: merit based immigration, and it's caused a big to do

45
00:02:29,840 --> 00:02:34,240
Speaker 1: because apparently you're just not allowed to say that part right.

46
00:02:34,520 --> 00:02:37,680
Speaker 1: But the fact is that this has real effects on

47
00:02:37,919 --> 00:02:41,600
Speaker 1: cities and the citizens of those cities, and they should

48
00:02:41,680 --> 00:02:44,400
Speaker 1: have a say in it. There's a friend of mine

49
00:02:44,440 --> 00:02:49,320
Speaker 1: lives in Denver, and the amount of money explicitly being

50
00:02:50,000 --> 00:02:53,080
Speaker 1: that the mayor plans to take from other budgets to

51
00:02:53,320 --> 00:02:58,440
Speaker 1: cover the homeless migrant issue and to support the influx

52
00:02:58,480 --> 00:03:02,040
Speaker 1: of migrants is crazy. This is from the spring, and

53
00:03:02,040 --> 00:03:04,320
Speaker 1: there's been an ensuing fight over it. But Denver may

54
00:03:04,360 --> 00:03:06,840
Speaker 1: Or Mike Johnson planning to cut forty five million from

55
00:03:06,919 --> 00:03:10,000
Speaker 1: city agencies, including the police, to help fund a program

56
00:03:10,080 --> 00:03:12,400
Speaker 1: to deal with a recent influx of migrants. This is

57
00:03:12,440 --> 00:03:15,320
Speaker 1: Newsweek reporting. He's a Democrat, and now he announced that

58
00:03:15,320 --> 00:03:18,040
Speaker 1: the Colorida Capital was budgeting eighty nine point nine million

59
00:03:18,160 --> 00:03:20,679
Speaker 1: to respond to the newcomer crisis, and then it would

60
00:03:20,720 --> 00:03:23,000
Speaker 1: cut approximately one point nine percent or eight point four

61
00:03:23,040 --> 00:03:28,639
Speaker 1: million from getting new recruits former police and fire departments.

62
00:03:29,080 --> 00:03:32,760
Speaker 1: That's like, these are things that will affect citizens. There

63
00:03:32,800 --> 00:03:36,920
Speaker 1: are public facilities they're not able to use because of

64
00:03:36,920 --> 00:03:38,240
Speaker 1: this situation.

65
00:03:38,360 --> 00:03:39,800
Speaker 2: Right, and I just want to make the point that

66
00:03:39,920 --> 00:03:42,880
Speaker 2: none of this is pro immigrant. Let's roll the clip

67
00:03:42,920 --> 00:03:45,440
Speaker 2: from Buck Sexton on Clay and Buck our faves.

68
00:03:45,560 --> 00:03:49,520
Speaker 3: This is from Grillly, Colorado, not in Ohio. A human

69
00:03:49,560 --> 00:03:52,400
Speaker 3: resource to supervisor for JBS arranged some of the immigrant

70
00:03:52,440 --> 00:03:55,560
Speaker 3: workers to stay at a motel a mile down the

71
00:03:55,640 --> 00:03:58,640
Speaker 3: road where they live for weeks on end. They slept

72
00:03:58,680 --> 00:04:02,360
Speaker 3: on the floor to a room, cooked meals on hot

73
00:04:02,360 --> 00:04:04,600
Speaker 3: plates on the carpet, burned up the carpets. By the way,

74
00:04:04,640 --> 00:04:07,280
Speaker 3: forty thousand dollars of damage in the hotel. People slept

75
00:04:07,280 --> 00:04:10,400
Speaker 3: on the floors. Thirty people living in this fo or

76
00:04:10,400 --> 00:04:13,920
Speaker 3: five bedroom house with two bathrooms. Thirty people charged sixty

77
00:04:13,960 --> 00:04:16,920
Speaker 3: dollars a week in rent. Some workers said they couldn't

78
00:04:16,960 --> 00:04:21,000
Speaker 3: bear to tell loved ones in Haiti about the conditions.

79
00:04:21,440 --> 00:04:23,360
Speaker 3: You know, when people talk about all migrants and doing

80
00:04:23,400 --> 00:04:25,080
Speaker 3: the jobs we won't do, and they're so helpful to

81
00:04:25,080 --> 00:04:29,279
Speaker 3: the community and stuff, there's massive exploitation. And by the way,

82
00:04:29,560 --> 00:04:32,560
Speaker 3: the cost that isn't born by these companies that are

83
00:04:32,680 --> 00:04:37,440
Speaker 3: underpaying and maltreating these workers are born by society with

84
00:04:37,720 --> 00:04:41,799
Speaker 3: public services, with welfare and hospital emergency rooms and public

85
00:04:41,839 --> 00:04:43,880
Speaker 3: schools that have to figure out sixty languages.

86
00:04:44,120 --> 00:04:46,599
Speaker 2: Yeah, that none of that is good and none of

87
00:04:46,600 --> 00:04:49,520
Speaker 2: that is pro immigrant, and the fact that we continue

88
00:04:49,560 --> 00:04:51,599
Speaker 2: to allow that to happen, I mean the Haiti line

89
00:04:51,600 --> 00:04:54,080
Speaker 2: that they didn't want to tell their relatives back in

90
00:04:54,120 --> 00:04:55,560
Speaker 2: Haiti how badly.

91
00:04:55,240 --> 00:04:55,920
Speaker 1: They were living.

92
00:04:56,720 --> 00:05:00,040
Speaker 2: It's a real problem, and I don't know what the

93
00:05:00,040 --> 00:05:02,239
Speaker 2: solution is going to be. I know, you know, Donald

94
00:05:02,279 --> 00:05:05,320
Speaker 2: Trump talks about mass deportations. I'd love to hear more

95
00:05:05,360 --> 00:05:09,039
Speaker 2: about how that would work, because it seems quite difficult

96
00:05:09,080 --> 00:05:10,839
Speaker 2: because of the bind we've got ourselves in.

97
00:05:11,480 --> 00:05:14,000
Speaker 1: Yeah, and we've got ourselves in a bind because there

98
00:05:14,040 --> 00:05:20,039
Speaker 1: was a policy of letting extraordinary numbers, historic numbers come across, which,

99
00:05:20,040 --> 00:05:24,080
Speaker 1: as Buck points out, leads to really vulnerable situations, particularly

100
00:05:24,120 --> 00:05:27,000
Speaker 1: for minors who are coming to the border and then

101
00:05:27,040 --> 00:05:29,800
Speaker 1: coming into the country. There's been reporting on that it's

102
00:05:29,839 --> 00:05:34,560
Speaker 1: not compassionate when those things happen that way, and whether

103
00:05:34,600 --> 00:05:38,760
Speaker 1: it's homelessness or open drug markets or any of these issues,

104
00:05:39,720 --> 00:05:43,960
Speaker 1: ignoring it and encouraging it will not solve the problem.

105
00:05:44,040 --> 00:05:46,800
Speaker 1: Like having a bunch more people and giving hotels to

106
00:05:46,839 --> 00:05:50,800
Speaker 1: them doesn't solve the housing supply problem that a bunch

107
00:05:50,800 --> 00:05:53,919
Speaker 1: of people are concerned about. That in fact makes it worse.

108
00:05:54,839 --> 00:05:57,920
Speaker 2: Absolutely, you know. And as we talk about this, all

109
00:05:57,920 --> 00:05:59,960
Speaker 2: I can think of is, what does Taylor Swift think

110
00:06:00,040 --> 00:06:02,360
Speaker 2: about this? I just want to know. I need to

111
00:06:02,400 --> 00:06:05,840
Speaker 2: know a celebrity take on this, because clearly there are betters.

112
00:06:06,160 --> 00:06:09,039
Speaker 1: You know what, I've got something even better than a

113
00:06:09,040 --> 00:06:11,680
Speaker 1: celebrity take for you, and that is a celebrity who

114
00:06:11,680 --> 00:06:13,280
Speaker 1: thinks celebrity takes are lame.

115
00:06:13,560 --> 00:06:14,440
Speaker 2: Oh, I like it.

116
00:06:15,880 --> 00:06:18,880
Speaker 1: So far. All Williams, who by the way, I share

117
00:06:18,880 --> 00:06:22,000
Speaker 1: a birthday with, said he would be happier if a

118
00:06:22,000 --> 00:06:25,280
Speaker 1: lot of celebrities celebrities just sort of kept their mouths shut.

119
00:06:25,440 --> 00:06:27,880
Speaker 1: In an interview published the day after the September tenth

120
00:06:27,960 --> 00:06:31,400
Speaker 1: debate between Vice President Kamala Harris and former President Trump,

121
00:06:31,600 --> 00:06:34,599
Speaker 1: the multi hyphen musician told the Hollywood Reporter he was

122
00:06:34,600 --> 00:06:38,880
Speaker 1: often quote annoyed by celebrity political endorsements. There are celebrities

123
00:06:38,880 --> 00:06:41,400
Speaker 1: that I respect that have an opinion, but not all

124
00:06:41,400 --> 00:06:43,479
Speaker 1: of them, he said. I'm one of them who says,

125
00:06:43,520 --> 00:06:47,640
Speaker 1: what the heck, shut up? Nobody asked you. I love it.

126
00:06:47,640 --> 00:06:49,360
Speaker 2: How much trouble is he going to get into for that?

127
00:06:49,880 --> 00:06:53,200
Speaker 1: I mean, you know, because the news cycle is so crazy,

128
00:06:53,240 --> 00:06:55,120
Speaker 1: maybe he'll get a pass on this one. But I

129
00:06:55,240 --> 00:06:59,000
Speaker 1: enjoyed it. There was another passing comment by Chapel Rohne,

130
00:06:59,080 --> 00:07:03,280
Speaker 1: who said, basically, both sides are bad and I don't

131
00:07:03,360 --> 00:07:05,159
Speaker 1: like the government, which is something that I think both

132
00:07:05,200 --> 00:07:07,120
Speaker 1: you and I can get behind.

133
00:07:07,080 --> 00:07:09,120
Speaker 2: Right, But she did get in trouble, and she did

134
00:07:09,200 --> 00:07:11,280
Speaker 2: try to come out and say I'm not voting for

135
00:07:11,320 --> 00:07:14,239
Speaker 2: Donald Trump because, as we all know, when somebody doesn't

136
00:07:14,240 --> 00:07:16,960
Speaker 2: talk politics, it's usually because they're a Republican.

137
00:07:17,080 --> 00:07:20,280
Speaker 1: Right, So she got blowback because it's like it's allegedly

138
00:07:20,320 --> 00:07:22,400
Speaker 1: a cop out to say that both sides are bad,

139
00:07:22,480 --> 00:07:24,840
Speaker 1: even though both sides can be bad and the government

140
00:07:24,920 --> 00:07:26,880
Speaker 1: is bad. Sure, sure, right.

141
00:07:27,280 --> 00:07:30,480
Speaker 2: You know, I love the idea of celebrities staying out

142
00:07:30,520 --> 00:07:34,360
Speaker 2: of politics, and I hope that more celebrities follow that lead.

143
00:07:34,440 --> 00:07:36,680
Speaker 2: I don't think they will because it's a very it's

144
00:07:36,680 --> 00:07:40,120
Speaker 2: a very alluring game. This I support the current thing

145
00:07:40,240 --> 00:07:44,360
Speaker 2: is very popular to say out loud, and Kamala Harris

146
00:07:44,440 --> 00:07:46,320
Speaker 2: is the current thing, so she has you know, again,

147
00:07:46,360 --> 00:07:49,640
Speaker 2: Taylor Swift Jennifer Lopez. I mean, I don't know Ben Stiller,

148
00:07:49,720 --> 00:07:52,800
Speaker 2: whoever else. All these celebrities are lining up to say

149
00:07:53,320 --> 00:07:56,360
Speaker 2: I am with the majority on this majority of celebrities,

150
00:07:56,400 --> 00:08:01,160
Speaker 2: and I do not take any unusual or questionable stanzas.

151
00:08:01,240 --> 00:08:02,320
Speaker 2: Please don't punish me.

152
00:08:03,080 --> 00:08:06,600
Speaker 1: Well, And as we talked yesterday, we talked on Clay

153
00:08:06,600 --> 00:08:09,520
Speaker 1: and Bucks Show about maybe not listening to celebrities at

154
00:08:09,560 --> 00:08:13,240
Speaker 1: all because given the many things they see behind the scenes,

155
00:08:13,640 --> 00:08:15,920
Speaker 1: or something like the fallout of the Ditty case, maybe

156
00:08:15,960 --> 00:08:19,360
Speaker 1: these people do not have the best judgment and they're

157
00:08:19,400 --> 00:08:21,640
Speaker 1: not the ones from whom you should be taking advice.

158
00:08:22,040 --> 00:08:24,680
Speaker 2: That's right, you know another I think you and I

159
00:08:24,800 --> 00:08:28,560
Speaker 2: talked about it also, but Patrick Mahomes doesn't really talk politics,

160
00:08:28,600 --> 00:08:31,840
Speaker 2: and that really bothers people. Yeah, I think that he

161
00:08:31,880 --> 00:08:34,360
Speaker 2: gets a lot of abuse for not saying, you know,

162
00:08:34,440 --> 00:08:37,280
Speaker 2: not telling his wife to stop liking Trump tweets or

163
00:08:37,840 --> 00:08:39,800
Speaker 2: whatever she is that little ladies up to.

164
00:08:40,200 --> 00:08:44,120
Speaker 1: Brittany Mahomes has been subject to some wild backlash for

165
00:08:44,280 --> 00:08:48,920
Speaker 1: merely liking a Trump social media post, including by the

166
00:08:48,920 --> 00:08:54,719
Speaker 1: way Sunny Hasten on the View going after her her

167
00:08:54,840 --> 00:08:58,680
Speaker 1: multi racial children and saying that she was betraying them

168
00:08:59,360 --> 00:09:02,840
Speaker 1: by like a social media post. In fact, let's play

169
00:09:02,840 --> 00:09:04,760
Speaker 1: that clip also, And yeah, that.

170
00:09:04,640 --> 00:09:05,800
Speaker 2: Doesn't make me hopeful.

171
00:09:06,160 --> 00:09:09,360
Speaker 4: Actually this this, this effect will speak to more women

172
00:09:09,400 --> 00:09:11,920
Speaker 4: about the true character of Donald Trump and and and

173
00:09:12,040 --> 00:09:16,040
Speaker 4: will turn them away. But to your initial point, I

174
00:09:16,040 --> 00:09:17,600
Speaker 4: know you said we weren't going to talk about it,

175
00:09:17,600 --> 00:09:20,840
Speaker 4: but I was. It just seems to me that since

176
00:09:20,840 --> 00:09:25,679
Speaker 4: she is in an interracial marriage, she should have known

177
00:09:26,280 --> 00:09:30,280
Speaker 4: that to support a racist is problematic. Her children are

178
00:09:30,480 --> 00:09:33,679
Speaker 4: are biracial, and her family is one of the families

179
00:09:34,000 --> 00:09:36,280
Speaker 4: that in the seventies could not have lived in any

180
00:09:36,320 --> 00:09:37,560
Speaker 4: of Donald Trump's buildings.

181
00:09:38,080 --> 00:09:40,240
Speaker 1: So it just.

182
00:09:40,120 --> 00:09:44,480
Speaker 4: Seems to me that maybe she's just not that politically savvy,

183
00:09:45,480 --> 00:09:49,360
Speaker 4: or maybe she's just not ready granted. But all we

184
00:09:49,480 --> 00:09:51,640
Speaker 4: know is that she liked a Trump post.

185
00:09:51,760 --> 00:09:54,480
Speaker 1: We don't know. She hasn't say it she.

186
00:09:54,520 --> 00:09:57,360
Speaker 4: Supported him, but that's fair to interpret that she may have,

187
00:09:57,440 --> 00:09:58,720
Speaker 4: but we don't know that she's a supporter.

188
00:09:59,200 --> 00:10:03,000
Speaker 1: That's a why old jump from someone liking a social

189
00:10:03,000 --> 00:10:05,480
Speaker 1: media post. And I do want to say I don't.

190
00:10:06,440 --> 00:10:08,880
Speaker 1: I don't hate on celebrities when they endorse somebody. I

191
00:10:08,960 --> 00:10:11,760
Speaker 1: get it. It didn't surprise me about Taylor Swift. I

192
00:10:11,880 --> 00:10:14,320
Speaker 1: like that in her real life, Taylor Swift has not

193
00:10:14,360 --> 00:10:18,520
Speaker 1: abandoned Brittany Mahomes. Yeah right, she hasn't decided that that's

194
00:10:18,559 --> 00:10:20,520
Speaker 1: the bright line for her. And I think that's a

195
00:10:20,520 --> 00:10:23,319
Speaker 1: healthy way of operating, right.

196
00:10:23,200 --> 00:10:26,440
Speaker 2: I fully agree. Look, I don't love all of Taylor

197
00:10:26,440 --> 00:10:29,280
Speaker 2: Swift's friends. She's good friends with the Hadid sisters, who

198
00:10:29,400 --> 00:10:32,480
Speaker 2: you know, are really Israel hating. But you know, I

199
00:10:32,520 --> 00:10:36,200
Speaker 2: think that you can have people in your life with

200
00:10:36,240 --> 00:10:39,480
Speaker 2: whom you have agreement and disagreement. I like that she's

201
00:10:39,520 --> 00:10:43,920
Speaker 2: still friends with Britney Holmes and Mahomes. Sorry, and yeah,

202
00:10:43,920 --> 00:10:45,839
Speaker 2: that's great. I think that that's the.

203
00:10:45,760 --> 00:10:48,640
Speaker 1: Way to go. By the way, I have a little

204
00:10:49,080 --> 00:10:50,520
Speaker 1: Do you have a Swifty in your house?

205
00:10:50,679 --> 00:10:53,439
Speaker 2: Oh, yes, I do. I have a fourteen year old Swifty.

206
00:10:54,679 --> 00:10:57,920
Speaker 1: I have burgeoning Swifties in my house. So they're just

207
00:10:57,960 --> 00:11:02,320
Speaker 1: sort of getting into but they really enjoy her. And

208
00:11:02,440 --> 00:11:06,240
Speaker 1: I also, I'm a bit agnostic too positive on her.

209
00:11:06,360 --> 00:11:08,640
Speaker 1: I like her. There's a lot of bops. I'm here

210
00:11:08,679 --> 00:11:08,960
Speaker 1: for it.

211
00:11:09,040 --> 00:11:13,480
Speaker 5: Oh yeah, But I do do a very stereotypical mom thing,

212
00:11:13,800 --> 00:11:17,080
Speaker 5: which is to ruin my children's fun by talking them

213
00:11:17,160 --> 00:11:21,120
Speaker 5: through the lyrics of each song, and I'm like, do

214
00:11:21,160 --> 00:11:23,079
Speaker 5: we think he really does belong with her?

215
00:11:23,440 --> 00:11:23,560
Speaker 1: Right?

216
00:11:25,080 --> 00:11:25,719
Speaker 2: That's really good?

217
00:11:25,760 --> 00:11:29,080
Speaker 1: I should do that, Yes, can we What are the

218
00:11:29,120 --> 00:11:33,480
Speaker 1: ethical implications of hanging out with this other young lady's boyfriend?

219
00:11:33,520 --> 00:11:35,439
Speaker 1: So often? Do we think? Yeah?

220
00:11:35,480 --> 00:11:38,440
Speaker 2: And they're like, oh, you know, and when they get older,

221
00:11:38,600 --> 00:11:41,240
Speaker 2: you're like, you know, she's she's up at midnight, she's

222
00:11:41,280 --> 00:11:42,640
Speaker 2: looking up ex boyfriends.

223
00:11:42,720 --> 00:11:45,320
Speaker 1: Like, we don't do that. Maybe you know, she needs to.

224
00:11:45,280 --> 00:11:47,520
Speaker 2: Calm down a little bit. That's also a line from

225
00:11:47,920 --> 00:11:50,960
Speaker 2: songs My daughter does this thing. Also, Like I was like,

226
00:11:51,000 --> 00:11:53,600
Speaker 2: I don't think I like Chapel Roone and she's like,

227
00:11:53,679 --> 00:11:56,440
Speaker 2: you actually love Chapel Roone and love all her songs

228
00:11:56,480 --> 00:11:58,040
Speaker 2: and listed all her songs and I was like, oh, yeah,

229
00:11:58,040 --> 00:11:58,760
Speaker 2: I do love all those.

230
00:11:58,840 --> 00:12:00,880
Speaker 1: Well, maybe you're right, very good songs.

231
00:12:00,960 --> 00:12:01,120
Speaker 4: You know.

232
00:12:01,280 --> 00:12:04,520
Speaker 1: Good luck, babe. See this is what they can teach

233
00:12:04,600 --> 00:12:05,760
Speaker 1: us and we can teach them.

234
00:12:06,080 --> 00:12:08,560
Speaker 2: You know. Well, we have had the conversation of you

235
00:12:08,600 --> 00:12:11,800
Speaker 2: can like Taylor Swift and have different opinions than her

236
00:12:12,040 --> 00:12:14,480
Speaker 2: on lots of things and don't worry about that. That's

237
00:12:14,520 --> 00:12:17,400
Speaker 2: a normal thing. You could be a really big fan,

238
00:12:17,840 --> 00:12:21,160
Speaker 2: and you know, I mentioned this, you know, I think

239
00:12:21,200 --> 00:12:23,840
Speaker 2: also on Clay and Buck, but or on Dave Rubin Show,

240
00:12:23,920 --> 00:12:29,000
Speaker 2: but Stool President's his name. Dave Portne, huge Taylor Swift fan,

241
00:12:29,360 --> 00:12:30,880
Speaker 2: was like when he heard the news that she was

242
00:12:30,920 --> 00:12:32,920
Speaker 2: voting for Kamala, he said, Okay, well I'm voting for

243
00:12:32,960 --> 00:12:35,560
Speaker 2: the other guy. And he's like really a really really

244
00:12:35,600 --> 00:12:37,280
Speaker 2: big fan, and I was like, look, you know, people

245
00:12:37,320 --> 00:12:40,240
Speaker 2: can like whatever they want, and you could have whatever

246
00:12:40,280 --> 00:12:41,880
Speaker 2: opinions they don't.

247
00:12:41,679 --> 00:12:45,839
Speaker 1: Have revolutionary I like it. I feel like there's a

248
00:12:45,880 --> 00:12:49,600
Speaker 1: lot of cautionary tales in the Taylor Swift lyric catalog

249
00:12:49,760 --> 00:12:52,840
Speaker 1: and also some really beautiful stuff. So we're learning as

250
00:12:52,840 --> 00:12:55,840
Speaker 1: we go. Shall we do In case you missed it?

251
00:12:56,200 --> 00:12:58,680
Speaker 2: Yeah, we're going to have this segment every Thursday.

252
00:12:59,240 --> 00:13:01,040
Speaker 1: Every Thursday, we're going to try to hit this because

253
00:13:01,080 --> 00:13:03,680
Speaker 1: there's a lot of news that we feel like should

254
00:13:03,720 --> 00:13:06,679
Speaker 1: be more covered than it is. And Carol's got our

255
00:13:06,840 --> 00:13:08,640
Speaker 1: in case you missed it for this week.

256
00:13:09,160 --> 00:13:10,959
Speaker 2: So I think there's quite a big one this week,

257
00:13:11,400 --> 00:13:15,240
Speaker 2: the fact that President Trump was nearly assassinated for the

258
00:13:15,280 --> 00:13:18,120
Speaker 2: second time, and how the news media has decided to

259
00:13:18,240 --> 00:13:20,920
Speaker 2: just move on from that. I think it's important to

260
00:13:20,960 --> 00:13:23,760
Speaker 2: say again that it would be a wildly different story

261
00:13:23,840 --> 00:13:26,600
Speaker 2: if it was a Democratic nominee, who, again, god forbid,

262
00:13:27,080 --> 00:13:31,240
Speaker 2: was a target of two assassination attempts. But the Democrats

263
00:13:31,240 --> 00:13:34,120
Speaker 2: and the media, I mean, I repeat myself, I've decided

264
00:13:34,160 --> 00:13:37,839
Speaker 2: that Trump nearly getting killed just helps Trump too much.

265
00:13:38,280 --> 00:13:41,079
Speaker 2: So they're really quiet about it. They don't talk about it.

266
00:13:41,400 --> 00:13:44,240
Speaker 2: How do we know so little about both men? I mean, Ruth,

267
00:13:44,480 --> 00:13:48,320
Speaker 2: the last would be shooter had given multiple interviews to

268
00:13:48,480 --> 00:13:51,640
Speaker 2: major outlets. We should have a lot more information than

269
00:13:51,640 --> 00:13:54,120
Speaker 2: we do. Yet we know zero. We don't know if

270
00:13:54,120 --> 00:13:56,720
Speaker 2: he had help, if he acted alone. We don't know

271
00:13:57,040 --> 00:13:59,360
Speaker 2: how he set himself up to do that. We have

272
00:13:59,600 --> 00:14:00,800
Speaker 2: almost no information.

273
00:14:01,840 --> 00:14:05,040
Speaker 1: Yeah, it is very differently covered than if it were

274
00:14:05,080 --> 00:14:10,120
Speaker 1: the other way around. There's also some confirmed intelligence about

275
00:14:10,760 --> 00:14:17,040
Speaker 1: the Iranian regime having plans to assassinate Donald Trump. These

276
00:14:17,640 --> 00:14:22,040
Speaker 1: three pieces large pieces of information combined seemed to me

277
00:14:22,080 --> 00:14:26,320
Speaker 1: to be a pretty important storyline in this free American

278
00:14:26,320 --> 00:14:29,360
Speaker 1: election we are trying to have without foreign interference or

279
00:14:29,360 --> 00:14:33,760
Speaker 1: someone being killed, and yet it's not the story that

280
00:14:33,840 --> 00:14:39,040
Speaker 1: dominates the headlines. We did get some update recently, so

281
00:14:39,440 --> 00:14:42,880
Speaker 1: the Senate has finally released a report reviewing the Secret

282
00:14:42,880 --> 00:14:46,880
Speaker 1: Services failings from July thirteenth, But the Secret Service itself

283
00:14:47,280 --> 00:14:49,800
Speaker 1: still has not turned in its book report on what

284
00:14:49,960 --> 00:14:52,360
Speaker 1: went wrong that day. I think I believe it's given

285
00:14:52,400 --> 00:14:55,880
Speaker 1: a preliminary report. The Senate's pretty mad that it hasn't

286
00:14:55,880 --> 00:14:58,440
Speaker 1: gotten full information from them. And then we did have

287
00:14:58,480 --> 00:15:01,920
Speaker 1: the update that the DOJ is is going for pretty

288
00:15:02,000 --> 00:15:07,040
Speaker 1: large charges against Ruth. I believe it's the in a

289
00:15:07,120 --> 00:15:11,760
Speaker 1: charge of actual attempted murder by assassination. But in the

290
00:15:11,960 --> 00:15:16,480
Speaker 1: court filings, did you see this? The DOJ released a

291
00:15:16,640 --> 00:15:19,360
Speaker 1: letter that Ruth had written and given to a friend

292
00:15:20,120 --> 00:15:24,920
Speaker 1: that says, this was an attempt to assassinate Donald Trump

293
00:15:25,280 --> 00:15:30,520
Speaker 1: and I'm sorry I failed, and I'm offering one hundred

294
00:15:30,560 --> 00:15:34,600
Speaker 1: and fifty thousand dollars to whomever can get the job done. Now,

295
00:15:34,600 --> 00:15:36,680
Speaker 1: they don't know if that was referring to this particular

296
00:15:36,680 --> 00:15:39,360
Speaker 1: assassination or some other attempt he might have tried.

297
00:15:40,160 --> 00:15:42,880
Speaker 2: Imagine, imagine he had a different attempt that we don't

298
00:15:42,920 --> 00:15:43,480
Speaker 2: even know about.

299
00:15:44,280 --> 00:15:46,280
Speaker 1: Well, how did he know he was going to fail

300
00:15:46,280 --> 00:15:50,200
Speaker 1: in the attempt before it happened? So they had this letter,

301
00:15:50,280 --> 00:15:54,120
Speaker 1: it's in public court documents. Bill Barr, former head of

302
00:15:54,160 --> 00:15:56,880
Speaker 1: the DJ was like, why are they printing a bounty

303
00:15:56,960 --> 00:16:00,400
Speaker 1: letter for Wise?

304
00:16:00,640 --> 00:16:00,920
Speaker 2: Really?

305
00:16:00,960 --> 00:16:04,680
Speaker 1: Does it seems oud Wise? So we do have the

306
00:16:04,680 --> 00:16:07,240
Speaker 1: fact that he's at least being charged right now and

307
00:16:07,280 --> 00:16:11,640
Speaker 1: held obviously without bail. But yeah, I don't think the

308
00:16:11,680 --> 00:16:14,520
Speaker 1: seriousness of this is being contemplated at all.

309
00:16:14,960 --> 00:16:17,880
Speaker 2: Yeah, I think that you're exactly right. I know people

310
00:16:17,880 --> 00:16:20,160
Speaker 2: who are just afraid, afraid of what's going to happen.

311
00:16:20,440 --> 00:16:23,600
Speaker 2: God forbid anybody succeeds at taking a shot at him.

312
00:16:24,280 --> 00:16:28,800
Speaker 2: It's really a touchy time in America overall, and if

313
00:16:28,840 --> 00:16:33,840
Speaker 2: anything happens to either represidential candidates, I'm afraid to think

314
00:16:33,880 --> 00:16:35,240
Speaker 2: of what that will do to the country.

315
00:16:35,720 --> 00:16:39,280
Speaker 1: Yeah, I do wonder if people don't just have not

316
00:16:39,360 --> 00:16:43,280
Speaker 1: contemplated how badly that could go and how I mean,

317
00:16:43,640 --> 00:16:46,760
Speaker 1: we're already on a knife sedge with public trust, and

318
00:16:46,840 --> 00:16:51,200
Speaker 1: if something like that, something so shattering and toxic happened

319
00:16:51,640 --> 00:16:56,600
Speaker 1: like that, how bad it would be for the fabric

320
00:16:56,600 --> 00:16:59,680
Speaker 1: that's already sort of tearing around here. We're afraid, We're

321
00:16:59,760 --> 00:17:04,560
Speaker 1: very I mean, I felt very lucky that the country

322
00:17:04,600 --> 00:17:07,399
Speaker 1: was very blessed that Trump got out of that first,

323
00:17:07,560 --> 00:17:11,919
Speaker 1: very very close call. This second one has been downplayed

324
00:17:12,000 --> 00:17:13,680
Speaker 1: quite a bit, but I don't think it should be

325
00:17:13,680 --> 00:17:18,040
Speaker 1: because he had apparently, according to the indictment, been pinging

326
00:17:18,119 --> 00:17:21,360
Speaker 1: off cell towers there for quite some time. He had

327
00:17:21,440 --> 00:17:24,000
Speaker 1: marked days that Trump was at the golf course or

328
00:17:24,080 --> 00:17:26,680
Speaker 1: at other events where he thought he might be, So

329
00:17:26,720 --> 00:17:28,880
Speaker 1: he had a lot of ideas, and he was.

330
00:17:28,840 --> 00:17:30,080
Speaker 2: In hours him.

331
00:17:30,080 --> 00:17:32,240
Speaker 1: He was in a position to hit him when he

332
00:17:32,320 --> 00:17:35,760
Speaker 1: eventually got there, if the Secret Service had not intervened,

333
00:17:35,760 --> 00:17:38,440
Speaker 1: which thank goodness for that guy doing his job extremely well,

334
00:17:38,720 --> 00:17:43,040
Speaker 1: and he was sweeping. But this is this is really

335
00:17:43,119 --> 00:17:45,879
Speaker 1: dangerous stuff. And then you watch him on the trail.

336
00:17:46,119 --> 00:17:48,640
Speaker 1: You know he's not doing as many rallies he has

337
00:17:48,680 --> 00:17:55,080
Speaker 1: to be in his popemobiles, bulletproof glass situation. He's been

338
00:17:55,400 --> 00:17:59,800
Speaker 1: handicapped by these attempts usually the exact opposite of what

339
00:17:59,800 --> 00:18:02,119
Speaker 1: we want in a free society exactly.

340
00:18:02,160 --> 00:18:04,560
Speaker 2: You know. I have to say that when Donald Trump

341
00:18:04,600 --> 00:18:07,840
Speaker 2: first announced in twenty sixteen, I was like, Oh, he's

342
00:18:08,040 --> 00:18:11,800
Speaker 2: gonna hate campaigning because he was known in New York

343
00:18:11,840 --> 00:18:14,520
Speaker 2: as like a germophobe and like shaking hands. It was

344
00:18:14,520 --> 00:18:17,199
Speaker 2: like a thing that people knew about him. And I

345
00:18:17,240 --> 00:18:20,320
Speaker 2: think what really has surprised me in the time since then,

346
00:18:20,440 --> 00:18:24,159
Speaker 2: is how much he actually does love being with people.

347
00:18:24,280 --> 00:18:27,400
Speaker 2: He likes going into the fast food restaurants. He paid

348
00:18:27,440 --> 00:18:29,159
Speaker 2: for woman's groceries the other day.

349
00:18:29,359 --> 00:18:30,080
Speaker 1: That was a good moment.

350
00:18:30,200 --> 00:18:34,320
Speaker 2: He genuinely enjoys the hobdobbing, which I did not see

351
00:18:34,359 --> 00:18:36,520
Speaker 2: coming at all, And the fact that he has to

352
00:18:36,560 --> 00:18:38,960
Speaker 2: limit that, the fact that he has limited something that

353
00:18:39,040 --> 00:18:45,159
Speaker 2: makes him more likable, more relatable to people, is really unfortunate.

354
00:18:45,680 --> 00:18:48,040
Speaker 1: Yeah, we want both of these candidates to have as

355
00:18:48,119 --> 00:18:52,720
Speaker 1: much access to the public as possible. Now, Kamala Harris

356
00:18:52,720 --> 00:18:56,600
Speaker 1: sort of declines to have access to anyone ever, but

357
00:18:57,480 --> 00:18:59,560
Speaker 1: I want her to be able to do the things

358
00:18:59,560 --> 00:19:01,640
Speaker 1: she wants to be able to do in public, which

359
00:19:01,680 --> 00:19:04,880
Speaker 1: is another reason we need the Secret Services report on

360
00:19:04,920 --> 00:19:09,439
Speaker 1: this asap so we can figure out how to do that. Well.

361
00:19:09,600 --> 00:19:16,080
Speaker 1: By the way, yeah, Carol, in our first episode of Normally,

362
00:19:16,440 --> 00:19:20,920
Speaker 1: we got some results because Carol mentioned that Stephanie Ruhle,

363
00:19:20,960 --> 00:19:24,320
Speaker 1: who's the MSNBC anchor who said on Bill Maher, Hey,

364
00:19:24,359 --> 00:19:26,880
Speaker 1: it's nirvana if you imagine this woman's going to take

365
00:19:26,920 --> 00:19:29,560
Speaker 1: hard questions, and she shouldn't have to take hard questions

366
00:19:29,560 --> 00:19:32,240
Speaker 1: because we already know that we don't like Donald Trump.

367
00:19:32,440 --> 00:19:35,919
Speaker 1: There you go so easy. So what happened after that? Carol?

368
00:19:36,000 --> 00:19:39,640
Speaker 1: You said maybe Stephanie Rule should get an interview. That's right.

369
00:19:40,000 --> 00:19:42,840
Speaker 2: So did she get the interview because she doesn't think

370
00:19:42,880 --> 00:19:45,920
Speaker 2: Kamala Harris should have to face tough questions? Or are

371
00:19:45,960 --> 00:19:47,800
Speaker 2: we living in nirvana? Which one?

372
00:19:48,000 --> 00:19:48,199
Speaker 4: Is it?

373
00:19:48,280 --> 00:19:49,040
Speaker 2: Stephanie Rule?

374
00:19:49,840 --> 00:19:52,320
Speaker 1: As illustrated by our last story selection, it does not

375
00:19:52,320 --> 00:19:54,800
Speaker 1: feel like nirvana here. So I think maybe Stephanie just

376
00:19:54,840 --> 00:19:56,960
Speaker 1: got the gig because she promised not to ask any

377
00:19:57,040 --> 00:20:01,600
Speaker 1: tough questions. Hey, whatever you're going to do, right, Oh

378
00:20:01,640 --> 00:20:04,520
Speaker 1: my goodness, it's not a great way to run a campaign,

379
00:20:04,680 --> 00:20:05,120
Speaker 1: that's right.

380
00:20:05,320 --> 00:20:06,720
Speaker 2: Yeah, hide the candidate.

381
00:20:06,760 --> 00:20:07,320
Speaker 1: No, it's not.

382
00:20:07,840 --> 00:20:09,560
Speaker 2: Sorry, I'll just add one more thing about that. But

383
00:20:09,680 --> 00:20:13,400
Speaker 2: Dave Weigel posted earlier today about he posted a poll

384
00:20:13,440 --> 00:20:16,520
Speaker 2: that showed Americans don't love JD. Vance, and then he

385
00:20:16,560 --> 00:20:19,560
Speaker 2: added that Tim Walls should be out there speaking more

386
00:20:19,600 --> 00:20:22,879
Speaker 2: because he's pretty good at it. Counterpoint that I made

387
00:20:22,920 --> 00:20:25,840
Speaker 2: on X is this is a campaign about nothing, So

388
00:20:26,040 --> 00:20:29,840
Speaker 2: no matter how well Walls speaks, he's not actually allowed

389
00:20:29,840 --> 00:20:33,320
Speaker 2: to say anything. And that's really why they're not giving interviews.

390
00:20:33,359 --> 00:20:34,920
Speaker 2: If they give interviews, they're going to have to state

391
00:20:34,960 --> 00:20:36,439
Speaker 2: their positions and who wants to do that?

392
00:20:37,200 --> 00:20:40,240
Speaker 1: Yeah, that in itself is a handicap. It's going to

393
00:20:40,240 --> 00:20:43,080
Speaker 1: be an interesting VP matchup because you've got one guy

394
00:20:43,440 --> 00:20:45,480
Speaker 1: who Yeah, I think if you look at the favorables,

395
00:20:45,640 --> 00:20:49,000
Speaker 1: you would say Walls is the one who's more likable,

396
00:20:49,640 --> 00:20:52,479
Speaker 1: not Vance. However, if you look at the amount of

397
00:20:53,400 --> 00:20:57,679
Speaker 1: things they're allowed to say or substance they're going to

398
00:20:57,680 --> 00:21:00,359
Speaker 1: bring to the table, it's going to be, uh, a

399
00:21:00,480 --> 00:21:01,560
Speaker 1: very strange matchup.

400
00:21:01,880 --> 00:21:04,280
Speaker 2: Yeah, well, we'll see what happens. I think no matter,

401
00:21:05,040 --> 00:21:08,560
Speaker 2: you know, despite their likability gap, I think Vance does

402
00:21:08,880 --> 00:21:11,480
Speaker 2: very well on that VP debate. That's my prediction for that,

403
00:21:11,720 --> 00:21:12,880
Speaker 2: But we'll see.

404
00:21:12,960 --> 00:21:16,240
Speaker 1: We will be back with more about that on Normally.

405
00:21:16,359 --> 00:21:20,159
Speaker 1: Thank you for joining us on this podcast with normalish

406
00:21:20,160 --> 00:21:21,879
Speaker 1: takes for when the news gets weird.