1
00:00:00,320 --> 00:00:03,640
Speaker 1: Hello the Internet, and welcome to season two or three,

2
00:00:03,680 --> 00:00:09,160
Speaker 1: episode two of a production of I Heart Radio. This

3
00:00:09,240 --> 00:00:11,000
Speaker 1: is a podcast where we take a deep dive into

4
00:00:11,000 --> 00:00:17,079
Speaker 1: America's shared consciousness. It is Tuesday, September twenty twenty. Woman

5
00:00:17,160 --> 00:00:22,799
Speaker 1: names Jack O'Brien a k look at my thighs. I'm Jacob,

6
00:00:24,280 --> 00:00:29,360
Speaker 1: It's Jack and Miles on t dazy. I bring you

7
00:00:29,520 --> 00:00:35,640
Speaker 1: cold gas, I bring you trends. It's every day. The

8
00:00:35,840 --> 00:00:42,000
Speaker 1: show never ends. What is courtesy of the girl with

9
00:00:42,040 --> 00:00:45,400
Speaker 1: the Kaiju tattoos. And I'm thrilled to be joined as

10
00:00:45,440 --> 00:00:50,760
Speaker 1: always by my co host, Mr mild Gray. Hang around

11
00:00:51,440 --> 00:00:55,920
Speaker 1: token by myself and I've had too much cold brew

12
00:00:56,120 --> 00:00:59,960
Speaker 1: and I was reading about horse paste and there you will,

13
00:01:01,800 --> 00:01:06,480
Speaker 1: eyes glued to us. Which, yeah, there he was in

14
00:01:06,640 --> 00:01:12,960
Speaker 1: the zoom room on my screen. I smell doing cold gas.

15
00:01:13,560 --> 00:01:20,039
Speaker 1: M who's that lounge in in that chair? Who's that

16
00:01:20,160 --> 00:01:27,480
Speaker 1: flashing blinding thighs in my direction? Surely it must be Jacoby. Okay,

17
00:01:27,600 --> 00:01:30,280
Speaker 1: shout out to Gingerfish on the discord, a newcomer to

18
00:01:30,319 --> 00:01:32,600
Speaker 1: the Discord, and you're just dunking on us with that

19
00:01:32,720 --> 00:01:38,759
Speaker 1: Marcy playground windmil a, thank you, Windmill three sixty dense

20
00:01:38,800 --> 00:01:43,480
Speaker 1: Carter's first dunk of the Dunk Contest. What was I'm sorry?

21
00:01:44,080 --> 00:01:50,320
Speaker 1: It was a cultural personality you know, you gotta you

22
00:01:50,360 --> 00:01:55,680
Speaker 1: gotta the and was playing in my head, but it

23
00:01:55,760 --> 00:01:59,160
Speaker 1: wasn't playing in anyone else's head, so maybe we'll cut

24
00:01:59,160 --> 00:02:04,480
Speaker 1: that one down. Never never, well, we are thrilled to

25
00:02:04,520 --> 00:02:09,840
Speaker 1: be joined by the correspondent and host of Vice News Reports.

26
00:02:10,360 --> 00:02:14,080
Speaker 1: Before that, they hosted boxes technology podcast Reset, and they

27
00:02:14,080 --> 00:02:17,760
Speaker 1: were the first climate change correspondent and American nightly news

28
00:02:17,919 --> 00:02:21,000
Speaker 1: on the Emmy Award winning Vice News. Tonight. They were

29
00:02:21,040 --> 00:02:25,239
Speaker 1: awarded the twenty nineteen Science and Society Journalism Award for

30
00:02:25,320 --> 00:02:28,120
Speaker 1: a story they wrote about a predominantly black community living

31
00:02:28,160 --> 00:02:32,040
Speaker 1: in a poor rural region of Alabama where failing septic

32
00:02:32,080 --> 00:02:34,720
Speaker 1: tanks and pools of rossa which had increased the risk

33
00:02:35,200 --> 00:02:39,360
Speaker 1: of hookwarm and other infectious diseases. All of that to

34
00:02:39,520 --> 00:02:43,080
Speaker 1: say they are a first rate guest on a second

35
00:02:43,160 --> 00:02:49,000
Speaker 1: rate podcast. Please welcome, the talented, the esteemed, the brilliant R. L.

36
00:02:49,160 --> 00:02:54,360
Speaker 1: Dham Ross. Thank you so much for having me, guys,

37
00:02:54,600 --> 00:02:59,600
Speaker 1: really love that rendition of sex and candy so so good,

38
00:02:59,639 --> 00:03:03,440
Speaker 1: like a really so enjoyable Thank you there's just there's

39
00:03:03,480 --> 00:03:06,840
Speaker 1: just something about that song I've I've always felt connected to.

40
00:03:07,120 --> 00:03:09,560
Speaker 1: I don't know, I feel like at a certain point

41
00:03:09,600 --> 00:03:11,360
Speaker 1: it was playing on a loop at the mall I

42
00:03:11,400 --> 00:03:13,280
Speaker 1: used to go to as a kid, like just all

43
00:03:13,320 --> 00:03:23,920
Speaker 1: the time. It was also on the soundtrack for Cruel Intentions,

44
00:03:23,960 --> 00:03:29,200
Speaker 1: a very important movie in my years. Oh of course. Yeah.

45
00:03:29,720 --> 00:03:32,120
Speaker 1: When I picture Cruel Intentions, that can only picture the

46
00:03:32,240 --> 00:03:35,920
Speaker 1: scary movie kiss like version of that. Is that what?

47
00:03:35,960 --> 00:03:39,160
Speaker 1: It was? A scary movie that did the kiss with

48
00:03:39,200 --> 00:03:45,480
Speaker 1: the like long section. Yeah, yeah, yeah, with the saliva. Yeah, yeah,

49
00:03:45,600 --> 00:03:48,840
Speaker 1: I know what you're talking about. Yeah, Like, that's all

50
00:03:48,880 --> 00:03:53,800
Speaker 1: I've seen since then. And had you brought up any

51
00:03:53,840 --> 00:03:57,280
Speaker 1: other movie, I still would have brought that scene. Know

52
00:03:57,440 --> 00:04:00,600
Speaker 1: when I picked that movie? Uh, when I think off

53
00:04:00,600 --> 00:04:08,840
Speaker 1: Tinker Taylor, Soldier, Spy, that kiss. Oh God, I really

54
00:04:08,840 --> 00:04:10,880
Speaker 1: hope I'm right about the sex and candy being in

55
00:04:11,080 --> 00:04:14,160
Speaker 1: the Cruel Intentions soundtrack, because if I'm not this, we

56
00:04:14,560 --> 00:04:17,200
Speaker 1: definitely went on a tangent. You know what, if you're not,

57
00:04:17,520 --> 00:04:20,560
Speaker 1: they failed because it would have been perfect for that

58
00:04:20,760 --> 00:04:23,120
Speaker 1: soundtrack even if it wasn't on it exactly. Let me

59
00:04:23,200 --> 00:04:29,920
Speaker 1: just look and just confirming it is not on there. Well,

60
00:04:30,160 --> 00:04:34,880
Speaker 1: are you SI failed? Coming Up from Behind is a

61
00:04:34,960 --> 00:04:40,000
Speaker 1: Marcy Playground behind one. Yes, that's that's the one. All right, Okay,

62
00:04:40,120 --> 00:04:42,440
Speaker 1: at least the band actually made a song for yeah,

63
00:04:42,480 --> 00:04:46,320
Speaker 1: and honestly for you to even know me multiple Marcy

64
00:04:46,400 --> 00:04:48,960
Speaker 1: Playground songs, I think is a feat in and of itself.

65
00:04:48,960 --> 00:04:53,880
Speaker 1: So that come Coming Up, Come Coming Up, Coming Up

66
00:04:53,920 --> 00:04:58,960
Speaker 1: from Behind songs got a really good baseline. Yeah, exactly.

67
00:04:59,640 --> 00:05:01,719
Speaker 1: And I gotta say people don't know this on that

68
00:05:01,760 --> 00:05:03,720
Speaker 1: are listening to the podcast, but you are on some

69
00:05:03,839 --> 00:05:07,680
Speaker 1: new fangled iPad and when you were just doing your

70
00:05:07,680 --> 00:05:10,599
Speaker 1: little moves, it was giving a little bit of camera motions,

71
00:05:10,600 --> 00:05:12,800
Speaker 1: so you really brought a vibe to the zoom call.

72
00:05:12,880 --> 00:05:16,800
Speaker 1: So I really appreciate that. Oh well, thank you. It's

73
00:05:16,960 --> 00:05:19,080
Speaker 1: very cool program that I am immediately going to go

74
00:05:19,120 --> 00:05:22,120
Speaker 1: out and get because it just adds gravity tasted to

75
00:05:22,160 --> 00:05:26,680
Speaker 1: everything you do. You're struggling with technology before we started recording,

76
00:05:26,960 --> 00:05:29,599
Speaker 1: and it like did this slow push on your face

77
00:05:29,760 --> 00:05:34,480
Speaker 1: that made it made it? I don't know, I just

78
00:05:34,520 --> 00:05:37,919
Speaker 1: look perplexed trying to join the audio on this calling,

79
00:05:38,360 --> 00:05:42,280
Speaker 1: or like you're super deep in thought and contemplating the

80
00:05:42,320 --> 00:05:47,320
Speaker 1: world's problems. How has your a pandemic? Ben? I, I

81
00:05:47,360 --> 00:05:51,240
Speaker 1: can't remember when it was that we last talked. Yeah,

82
00:05:51,320 --> 00:05:53,440
Speaker 1: last time we talked, I think it was still a pandemic.

83
00:05:54,200 --> 00:05:57,839
Speaker 1: How was it. How was your recent pandemic? Ben? It's

84
00:05:57,880 --> 00:06:01,880
Speaker 1: been okay. You know. I I finally got to go

85
00:06:01,920 --> 00:06:03,880
Speaker 1: back to Canada, where I'm from, where I grew up

86
00:06:05,000 --> 00:06:07,320
Speaker 1: my family, and that was a big deal because that

87
00:06:07,360 --> 00:06:12,599
Speaker 1: hadn't happened in two years. Uh. So you know, it's um,

88
00:06:12,640 --> 00:06:15,719
Speaker 1: you know, we're hanging in there. Yeah. Nice. And you're

89
00:06:15,760 --> 00:06:18,119
Speaker 1: in New York right when you're in the States. Yeah, okay,

90
00:06:18,839 --> 00:06:20,839
Speaker 1: right now, how did you And like I ask every

91
00:06:20,839 --> 00:06:22,760
Speaker 1: guest he was over there, how how did you fare

92
00:06:22,839 --> 00:06:27,400
Speaker 1: during the inclement weather a few weeks ago? Oh? We

93
00:06:27,400 --> 00:06:30,800
Speaker 1: were fortunate. Our backyard because we have a yard, kind

94
00:06:30,839 --> 00:06:34,200
Speaker 1: of flooded a little bit. Uh And for a while there,

95
00:06:34,200 --> 00:06:35,880
Speaker 1: I was like, oh, there's a lake in the backyard,

96
00:06:36,360 --> 00:06:38,839
Speaker 1: but it didn't actually enter the apartment. So we were good,

97
00:06:39,320 --> 00:06:41,200
Speaker 1: really really fortunate. A lot of our friends in the

98
00:06:41,240 --> 00:06:46,159
Speaker 1: same neighborhood were not as fortunate. Yeah. And I'm always

99
00:06:46,279 --> 00:06:48,800
Speaker 1: curious because like I have, like half of my family

100
00:06:48,839 --> 00:06:50,599
Speaker 1: lived in Japan, and I haven't been able to see

101
00:06:50,640 --> 00:06:53,039
Speaker 1: them since the pandemic either. What was it like to

102
00:06:53,160 --> 00:06:57,120
Speaker 1: go home for for all that time? Was it just

103
00:06:57,160 --> 00:06:59,240
Speaker 1: like was it everything you thought it would be? Was

104
00:06:59,279 --> 00:07:03,600
Speaker 1: it less? Was it? Or that's a good question. You know.

105
00:07:03,640 --> 00:07:05,920
Speaker 1: What was strange is that, like, because I hadn't seen

106
00:07:05,960 --> 00:07:07,840
Speaker 1: my parents in two years, I had a little bit

107
00:07:07,839 --> 00:07:09,920
Speaker 1: of I mean, we do zoom calls, but like it's

108
00:07:09,960 --> 00:07:13,520
Speaker 1: not like phone cameras were super detailed, and so I

109
00:07:13,520 --> 00:07:15,400
Speaker 1: had a little bit of a fear that I was like, Oh,

110
00:07:15,520 --> 00:07:18,840
Speaker 1: are they going to look like two years older? Like

111
00:07:18,960 --> 00:07:21,040
Speaker 1: that kind of for whatever reason, like it kind of

112
00:07:21,080 --> 00:07:24,120
Speaker 1: freaked me out that I would feel like so much

113
00:07:24,160 --> 00:07:26,320
Speaker 1: time had passed that I could actually notice a difference.

114
00:07:27,040 --> 00:07:31,560
Speaker 1: Unfortunately for them, they still look great. So actually I

115
00:07:31,600 --> 00:07:34,560
Speaker 1: didn't feel that and that you were able to embrace

116
00:07:34,640 --> 00:07:38,200
Speaker 1: them in your heart because they still looked good. Yes,

117
00:07:39,040 --> 00:07:42,760
Speaker 1: it was just because they still look for young, right,

118
00:07:46,000 --> 00:07:50,520
Speaker 1: So I still love them right great, But it was weird.

119
00:07:50,600 --> 00:07:54,240
Speaker 1: It was weird because my experience of the pandemic in

120
00:07:54,280 --> 00:07:56,560
Speaker 1: New York City was so different from there's in Montreal.

121
00:07:57,240 --> 00:08:00,280
Speaker 1: You know, like my sister to this day still doesn't

122
00:08:00,320 --> 00:08:03,360
Speaker 1: actually know somebody personally that she's like close to who's

123
00:08:03,400 --> 00:08:08,200
Speaker 1: had COVID and right exactly, And so like when you're

124
00:08:08,200 --> 00:08:10,360
Speaker 1: talking about like what the pandemic has been, like where

125
00:08:10,440 --> 00:08:12,840
Speaker 1: is they? And and also on top of that, they

126
00:08:12,840 --> 00:08:16,120
Speaker 1: have had a bunch of curfews. They had curfews that

127
00:08:16,200 --> 00:08:19,880
Speaker 1: lasted a really long time. And so it's like this

128
00:08:20,080 --> 00:08:25,200
Speaker 1: comparing notes situation where like we all experienced traumatic things,

129
00:08:25,240 --> 00:08:28,680
Speaker 1: but very very differently. You know, my my trauma was

130
00:08:28,720 --> 00:08:32,040
Speaker 1: like life and death trauma, and my sister's trauma was

131
00:08:32,120 --> 00:08:35,240
Speaker 1: like being at home all the time, feeling super confined

132
00:08:36,160 --> 00:08:39,640
Speaker 1: and more so than in than in Brooklyn. And so

133
00:08:39,720 --> 00:08:41,840
Speaker 1: it's just like it's just that that's weird, that that

134
00:08:41,920 --> 00:08:45,080
Speaker 1: feeling of like I think before I went, I felt like, oh,

135
00:08:45,120 --> 00:08:47,560
Speaker 1: we're all in this together. And then I went and

136
00:08:47,559 --> 00:08:51,680
Speaker 1: I was like, Nope, every country had a different pandemic, right,

137
00:08:51,720 --> 00:08:56,160
Speaker 1: and and we're not. It's not this big, universal, global

138
00:08:56,200 --> 00:08:59,559
Speaker 1: shared experience the way that I thought it was initially, right, Right,

139
00:09:00,640 --> 00:09:03,520
Speaker 1: makes sense. So we're gonna get to know you a

140
00:09:03,559 --> 00:09:06,559
Speaker 1: little bit better in a moment. First, just a few

141
00:09:06,559 --> 00:09:08,880
Speaker 1: of the things we're talking about. We're talking about the

142
00:09:08,960 --> 00:09:14,160
Speaker 1: humanitarian crisis, at the border in uh del Rio, Texas,

143
00:09:14,320 --> 00:09:22,840
Speaker 1: and just generally the inhumane border policies of all administrations

144
00:09:23,000 --> 00:09:27,320
Speaker 1: and ones that are especially poorly you know, suited to

145
00:09:27,640 --> 00:09:34,840
Speaker 1: our increasingly hot changed climate. We will talk about Mike

146
00:09:34,920 --> 00:09:38,720
Speaker 1: Pats apparently he thinks he can lead the GOP and

147
00:09:38,880 --> 00:09:42,280
Speaker 1: I'm I'm here, I want to see it. Yeah, I'm like,

148
00:09:42,480 --> 00:09:45,480
Speaker 1: I believe in you. Get out there, do your thing.

149
00:09:46,400 --> 00:09:48,840
Speaker 1: Your base didn't want to like lynch you or anything.

150
00:09:48,960 --> 00:09:54,760
Speaker 1: So you're pretty sure you got this, Mike. Yeah, the confidence, sir.

151
00:09:55,280 --> 00:09:57,720
Speaker 1: We're gonna talk about how college students are drinking less,

152
00:09:57,720 --> 00:10:03,679
Speaker 1: smoking more. We're gonna talk about the Emmy's briefly, just uh,

153
00:10:04,160 --> 00:10:08,040
Speaker 1: the fact that they were not COVID safe, and then

154
00:10:08,040 --> 00:10:11,400
Speaker 1: we're going to talk about just a couple other responses

155
00:10:11,440 --> 00:10:17,120
Speaker 1: to you know, just we're seeing COVID logic bend into

156
00:10:17,280 --> 00:10:22,679
Speaker 1: all different kind of unique, uncomfortable shapes. So we'll we'll

157
00:10:22,679 --> 00:10:27,360
Speaker 1: talk about the conservative logic that thinks that liberals are

158
00:10:27,600 --> 00:10:31,560
Speaker 1: doing reverse psychology on them. All of that plenty more.

159
00:10:31,600 --> 00:10:34,200
Speaker 1: But first ri L, we like to ask our guest,

160
00:10:34,360 --> 00:10:38,400
Speaker 1: what is something from your search history? Right? So from

161
00:10:38,400 --> 00:10:40,880
Speaker 1: my so all of my answers to all these questions

162
00:10:40,920 --> 00:10:45,400
Speaker 1: all surround the same theme right now, so recent search history.

163
00:10:45,880 --> 00:10:48,600
Speaker 1: The thing that is predominant in my search history right

164
00:10:48,600 --> 00:10:53,880
Speaker 1: now is I'm looking for like really good cycling shorts

165
00:10:54,760 --> 00:10:58,600
Speaker 1: because I recently got into like biking, and I went

166
00:10:58,679 --> 00:11:03,560
Speaker 1: on this like thirty no forty something mile bike ride

167
00:11:03,559 --> 00:11:08,079
Speaker 1: this weekend, and like my butt hurts, like my CITs bones,

168
00:11:08,280 --> 00:11:11,559
Speaker 1: like everything is in like deep deep pain, and now

169
00:11:11,600 --> 00:11:15,079
Speaker 1: I need to like gear up and actually buy actually

170
00:11:15,120 --> 00:11:21,960
Speaker 1: good cycling gear so ignorant like the like the padded shorts.

171
00:11:22,480 --> 00:11:25,040
Speaker 1: And I'm also looking for like a different bike seat

172
00:11:25,080 --> 00:11:28,080
Speaker 1: that has less padding compared because apparently that's better too.

173
00:11:28,600 --> 00:11:31,600
Speaker 1: So it's like my search history is all about biking

174
00:11:31,679 --> 00:11:36,400
Speaker 1: right now, and specifically about like my butt pain, how

175
00:11:37,080 --> 00:11:41,000
Speaker 1: but pain from biking. But seriously, though, like a road

176
00:11:41,080 --> 00:11:43,800
Speaker 1: bike gravel what kind of Yeah? I have a ten

177
00:11:43,880 --> 00:11:46,240
Speaker 1: year old road bike that I bought when I was

178
00:11:46,280 --> 00:11:50,160
Speaker 1: doing my undergraduate degree, and I never really got into

179
00:11:50,280 --> 00:11:52,240
Speaker 1: it very intensely. And then I moved to New York

180
00:11:52,240 --> 00:11:53,520
Speaker 1: City and I was too scared to bike in New

181
00:11:53,600 --> 00:11:55,720
Speaker 1: York City. So but I have a bunch of friends

182
00:11:55,720 --> 00:11:59,120
Speaker 1: who are very intense cyclists and they are building up

183
00:11:59,120 --> 00:12:01,920
Speaker 1: my confidence there take me on rides. I went through

184
00:12:01,960 --> 00:12:05,960
Speaker 1: Central Park this weekend in Times Square and like contended

185
00:12:06,000 --> 00:12:09,240
Speaker 1: with those those cars and it was a good experience.

186
00:12:09,600 --> 00:12:12,640
Speaker 1: I'm also getting on my bike, but I have I

187
00:12:12,679 --> 00:12:14,840
Speaker 1: just got an electric bike just to like kind of

188
00:12:14,840 --> 00:12:17,640
Speaker 1: commune around, so I don't drive my car as much,

189
00:12:18,080 --> 00:12:20,600
Speaker 1: which is great, but part of it is I live

190
00:12:20,679 --> 00:12:24,080
Speaker 1: in one of the most hostile places for someone to

191
00:12:24,120 --> 00:12:27,080
Speaker 1: be on a bicycle, which is l a um and

192
00:12:27,240 --> 00:12:31,600
Speaker 1: I like you, like my partner, she goes to show

193
00:12:31,720 --> 00:12:34,640
Speaker 1: show bike into work, so she's like very comfortable on

194
00:12:34,640 --> 00:12:37,400
Speaker 1: the roads. I grew up almost getting hit by cars

195
00:12:37,440 --> 00:12:39,480
Speaker 1: to the point where I rode the role mostly would

196
00:12:39,559 --> 00:12:41,520
Speaker 1: ride my bike on the sidewalk, which is not supposed

197
00:12:41,520 --> 00:12:43,839
Speaker 1: to do, just to like avoid the stress of that.

198
00:12:44,360 --> 00:12:46,840
Speaker 1: But as I've gotten out more, I'm I can totally

199
00:12:46,840 --> 00:12:49,719
Speaker 1: identify with like the comfort level because like I at

200
00:12:49,720 --> 00:12:52,120
Speaker 1: first hated cars like flying by me when I was

201
00:12:52,160 --> 00:12:54,200
Speaker 1: on a bike, And now you know, I'm like, okay,

202
00:12:54,280 --> 00:12:57,600
Speaker 1: I'm I'm learning my safety like sort of protocols. How

203
00:12:57,640 --> 00:12:59,400
Speaker 1: to keep my head on a swivel, know how to

204
00:12:59,480 --> 00:13:02,319
Speaker 1: what to read my body to signal to other cars

205
00:13:02,320 --> 00:13:05,480
Speaker 1: and things like that, and I'm slowly gaining that confidence. So, like,

206
00:13:05,800 --> 00:13:10,480
Speaker 1: defensive bike techniques are so important and I'm like slowly

207
00:13:10,880 --> 00:13:15,680
Speaker 1: learning them. Yeah, New York is no joke. I've I

208
00:13:15,800 --> 00:13:18,360
Speaker 1: used to bike around New York a lot, and I

209
00:13:18,360 --> 00:13:21,320
Speaker 1: have almost been sandwiched by a bus in between, like

210
00:13:21,480 --> 00:13:23,400
Speaker 1: a bus and a parked car. I don't know why

211
00:13:23,400 --> 00:13:25,400
Speaker 1: I think Elie is more hostile. I think it's because

212
00:13:25,440 --> 00:13:27,280
Speaker 1: I see more people in New York and like I

213
00:13:27,280 --> 00:13:31,200
Speaker 1: don't give a fun And in that way, I'm like, oh,

214
00:13:31,200 --> 00:13:33,400
Speaker 1: it must be easy to bike, But when I'm on

215
00:13:33,440 --> 00:13:35,600
Speaker 1: the sidewalks of New York, I'm like, man, I would

216
00:13:35,640 --> 00:13:38,360
Speaker 1: not biking this ship at all. Yeah. I guess it's

217
00:13:38,360 --> 00:13:40,880
Speaker 1: all about you know, learning, you know, learning environment and

218
00:13:40,920 --> 00:13:43,160
Speaker 1: getting used to it. Yeah. I'm just getting comfy on

219
00:13:43,200 --> 00:13:46,000
Speaker 1: my bike, you know. Yeah, I've definitely felt the pain

220
00:13:46,080 --> 00:13:48,959
Speaker 1: of not having the right My my cycling pants were

221
00:13:49,080 --> 00:13:55,079
Speaker 1: corduroy and uh yeah started off fire. Yeah, at one

222
00:13:55,120 --> 00:13:57,680
Speaker 1: point it was not good, just leaving a trail of

223
00:13:57,720 --> 00:14:03,720
Speaker 1: fabric behind you. What is something you think is overrated? Okay,

224
00:14:03,760 --> 00:14:07,360
Speaker 1: So along this this like theme of biking here. You know,

225
00:14:07,400 --> 00:14:10,000
Speaker 1: I've done spin classes I've tried a peloton bike in

226
00:14:10,040 --> 00:14:14,360
Speaker 1: the past, Like I think that's what's overrated. Like now

227
00:14:14,400 --> 00:14:18,319
Speaker 1: that I'm getting into like outdoor biking, it is just

228
00:14:19,600 --> 00:14:23,480
Speaker 1: better to just be outside to like the real life

229
00:14:23,520 --> 00:14:27,080
Speaker 1: effort of like real roads outdoors. It just feels so

230
00:14:27,160 --> 00:14:30,520
Speaker 1: much better. So like that's that's the overrated, underrated thing,

231
00:14:30,680 --> 00:14:33,760
Speaker 1: Like I think, I think I think spin classes are

232
00:14:33,800 --> 00:14:38,080
Speaker 1: super overrated. But who when you're biking around on the street,

233
00:14:38,160 --> 00:14:41,960
Speaker 1: who's telling you that you're killing it and just shouting

234
00:14:42,000 --> 00:14:48,040
Speaker 1: at you? So I will tell you my friend Dylan,

235
00:14:48,080 --> 00:14:50,600
Speaker 1: who takes me out on bike rides. The first bike

236
00:14:50,680 --> 00:14:53,120
Speaker 1: ride that we did together, we went like forty four

237
00:14:53,160 --> 00:14:56,480
Speaker 1: miles or something, and I had never done that much,

238
00:14:56,600 --> 00:14:58,840
Speaker 1: like not even close, like like my last my last

239
00:14:58,880 --> 00:15:00,800
Speaker 1: bike ride had probably been liked miles or like through

240
00:15:00,880 --> 00:15:03,000
Speaker 1: five miles. So he takes me out on the spike

241
00:15:03,080 --> 00:15:05,560
Speaker 1: ride and at the very end the last like five miles,

242
00:15:05,600 --> 00:15:08,600
Speaker 1: I was dying and he starts playing the theme to

243
00:15:08,760 --> 00:15:13,920
Speaker 1: Rocky next to me, like holding out his phone. My

244
00:15:13,960 --> 00:15:16,360
Speaker 1: friend Dylan is the answer to that question. Everybody needs

245
00:15:16,360 --> 00:15:23,360
Speaker 1: a Dylan for all the Predator fans out there. But yeah,

246
00:15:23,400 --> 00:15:26,360
Speaker 1: I love to hear that anything that rocky theme would

247
00:15:26,400 --> 00:15:28,920
Speaker 1: get you through it. Oh yeah, I gotta get a

248
00:15:28,920 --> 00:15:31,360
Speaker 1: speed of a speaker for your bike. You blasting tunes

249
00:15:31,400 --> 00:15:34,080
Speaker 1: when you biking? Uh not yet, not yet. Maybe I'll

250
00:15:34,080 --> 00:15:36,400
Speaker 1: get there at some point. Yeah, that's I think that's

251
00:15:36,440 --> 00:15:38,560
Speaker 1: my next step because I don't want to have headphones in,

252
00:15:38,640 --> 00:15:40,960
Speaker 1: but I don't mind being like the guys like who's

253
00:15:40,960 --> 00:15:47,080
Speaker 1: that old millennial blasting Drummond bass off their bicycle. Yeah.

254
00:15:47,320 --> 00:15:50,200
Speaker 1: You can also do those um like bone conducting headphones

255
00:15:50,240 --> 00:15:53,320
Speaker 1: that just conducting jaw. Those are kind of nerdy though,

256
00:15:53,360 --> 00:15:56,280
Speaker 1: they're like not not the best look, but they're safe. Yeah,

257
00:15:56,320 --> 00:15:58,520
Speaker 1: and I don't mind just being aggressive. I'd rather have

258
00:15:58,560 --> 00:16:03,560
Speaker 1: someone be like turn that ship then have my space headphones.

259
00:16:04,680 --> 00:16:08,520
Speaker 1: That's perfect. The jaw one so you can hear the

260
00:16:08,600 --> 00:16:12,880
Speaker 1: sounds around you as your jaw is. That's pretty cool.

261
00:16:13,000 --> 00:16:16,480
Speaker 1: How do they stick to your jaw? Oh? So they

262
00:16:16,560 --> 00:16:19,400
Speaker 1: just like pass behind your ears, like very much like um,

263
00:16:19,480 --> 00:16:21,520
Speaker 1: you know, like old school sports headphones that would wrap

264
00:16:21,520 --> 00:16:24,920
Speaker 1: around your ears and then they like stick to your

265
00:16:25,000 --> 00:16:27,120
Speaker 1: jaw on the side and so it's just wrapping around

266
00:16:27,120 --> 00:16:31,560
Speaker 1: your ears basically. Yeah, that that sounds trippy to like

267
00:16:31,880 --> 00:16:35,120
Speaker 1: it is coming from inside your Have you ever tried him?

268
00:16:35,160 --> 00:16:37,840
Speaker 1: Do you know what the sound qualities? Like? Sound quality

269
00:16:37,880 --> 00:16:40,520
Speaker 1: is not as good. I used to have a pair. Yeah,

270
00:16:40,680 --> 00:16:43,240
Speaker 1: I used to own a pair, and it's not as good.

271
00:16:43,360 --> 00:16:48,880
Speaker 1: It's definitely not like the audiophiles will take them, um,

272
00:16:49,120 --> 00:16:50,840
Speaker 1: but you know, they do the trick. And if you're

273
00:16:50,840 --> 00:16:53,680
Speaker 1: listening to podcasts you can definitely hear. Yeah, and if

274
00:16:53,680 --> 00:16:56,240
Speaker 1: you're listening to music, like it's more about like feeling

275
00:16:56,240 --> 00:16:58,520
Speaker 1: the music, I guess, but they really do leave your

276
00:16:58,520 --> 00:17:02,480
Speaker 1: ears like entirely clear. Yeah. Maybe that's better than me

277
00:17:02,800 --> 00:17:05,560
Speaker 1: strapping a boom box onto my bike I can't hear.

278
00:17:05,640 --> 00:17:08,600
Speaker 1: Probably probably makes more sense. Yeah, but I love boom

279
00:17:08,680 --> 00:17:13,840
Speaker 1: by Andy C. I picture you're strapping a boom box

280
00:17:13,880 --> 00:17:20,960
Speaker 1: onto your head, like like it's so like unbalanced. Oh

281
00:17:21,080 --> 00:17:24,640
Speaker 1: no no, I'll be safe out there. What is something

282
00:17:25,160 --> 00:17:29,679
Speaker 1: that you think is underrated? Well, yeah, so that I

283
00:17:29,760 --> 00:17:34,399
Speaker 1: kind of already give you my answer, which is biking outside. Yeah. Ok, yeah,

284
00:17:34,720 --> 00:17:37,439
Speaker 1: that's that's that's the thing that's super underrated. Everything is

285
00:17:37,440 --> 00:17:40,879
Speaker 1: all there's a theme here, you know, I really, I really,

286
00:17:41,960 --> 00:17:45,160
Speaker 1: but yeah, I I've been enjoying being outside so so

287
00:17:45,240 --> 00:17:49,040
Speaker 1: much it's a real workout, is super hard, and I

288
00:17:49,040 --> 00:17:50,679
Speaker 1: don't know, I just feel like I have to be

289
00:17:50,720 --> 00:17:54,240
Speaker 1: like incredibly alert. It feels like I'm like some kind

290
00:17:54,240 --> 00:17:58,000
Speaker 1: of superhero sometimes just looking at my environment while I'm biking.

291
00:17:58,160 --> 00:18:00,360
Speaker 1: It's it's a good it's a good feeling. I love

292
00:18:00,400 --> 00:18:02,879
Speaker 1: the freedom of it. I feel like it's like the

293
00:18:03,280 --> 00:18:05,000
Speaker 1: one of the few. It's one of the first things

294
00:18:05,000 --> 00:18:07,320
Speaker 1: I've done recently that I actually felt like I did

295
00:18:07,320 --> 00:18:10,760
Speaker 1: when I was a kid, Like doing something. It feels

296
00:18:10,840 --> 00:18:13,560
Speaker 1: exactly like when I'd be like, I'll be back in

297
00:18:13,640 --> 00:18:16,240
Speaker 1: the our mom and I'm like getting on my bike

298
00:18:16,320 --> 00:18:19,000
Speaker 1: and I'm going to seven eleven, like further down. Because

299
00:18:19,040 --> 00:18:20,920
Speaker 1: there was a slurpy flavor I wanted that they didn't

300
00:18:20,920 --> 00:18:23,960
Speaker 1: have my seven eleven ship and that like sense of

301
00:18:24,080 --> 00:18:26,919
Speaker 1: I think, being free and like having the wind in

302
00:18:27,000 --> 00:18:29,680
Speaker 1: my face. I was That was like a thing I

303
00:18:29,760 --> 00:18:32,600
Speaker 1: really wasn't prepared for. As I really started like biking

304
00:18:32,640 --> 00:18:34,160
Speaker 1: more and more and more, I was like, oh man,

305
00:18:34,240 --> 00:18:37,800
Speaker 1: this is like it's it's activating all these feelings. It's

306
00:18:37,800 --> 00:18:39,879
Speaker 1: so great and all of a sudden, New York City

307
00:18:39,880 --> 00:18:43,000
Speaker 1: feels like really small. It's now I can actually like

308
00:18:43,640 --> 00:18:47,399
Speaker 1: reach every spot relatively fast, and like it just it

309
00:18:47,440 --> 00:18:49,439
Speaker 1: makes everything so much more accessible all of a sudden

310
00:18:49,560 --> 00:18:52,639
Speaker 1: if you can get on a bike recommended. That's what

311
00:18:52,720 --> 00:18:55,119
Speaker 1: I noticed when I started biking around New York. Is

312
00:18:55,160 --> 00:18:58,320
Speaker 1: like I had learned New York geography as like a

313
00:18:58,359 --> 00:19:03,000
Speaker 1: series of islands based around the subway stops that I

314
00:19:03,080 --> 00:19:06,399
Speaker 1: had gone to and so, and then biking just allows

315
00:19:06,400 --> 00:19:08,399
Speaker 1: you to like kind of connect all of those and

316
00:19:08,520 --> 00:19:12,440
Speaker 1: actually see, oh, this is actually super super I never

317
00:19:12,480 --> 00:19:14,840
Speaker 1: I never feel more dumb than when I bike through

318
00:19:14,880 --> 00:19:17,080
Speaker 1: somewhere and I'm like, oh my god, this is just

319
00:19:17,160 --> 00:19:21,000
Speaker 1: on the other side of this part in let's don't

320
00:19:21,000 --> 00:19:23,120
Speaker 1: know what the funk I thought this was. I grew

321
00:19:23,200 --> 00:19:28,320
Speaker 1: up in this place. Yeah yeah, oh man, all right, well,

322
00:19:28,480 --> 00:19:31,560
Speaker 1: let's take a quick break and we'll be right back

323
00:19:31,600 --> 00:19:47,760
Speaker 1: to talk news. And we're back. And there is a developing,

324
00:19:47,800 --> 00:19:51,399
Speaker 1: worsening humanitarian crisis on the other side of the border.

325
00:19:51,640 --> 00:19:57,840
Speaker 1: In Del Rio, Texas. There are mostly Haitian migrants currently

326
00:19:57,880 --> 00:20:00,720
Speaker 1: living under a bridge and based they just waiting to

327
00:20:00,720 --> 00:20:03,560
Speaker 1: see if the United States will help them. Yeah, and

328
00:20:03,600 --> 00:20:07,919
Speaker 1: the answer seems to be no. It's sadly they're seeking

329
00:20:07,920 --> 00:20:11,600
Speaker 1: asylum in the United States, and with you know, Trump

330
00:20:11,640 --> 00:20:13,960
Speaker 1: and Biden, they seem to be doing the same thing,

331
00:20:14,119 --> 00:20:17,359
Speaker 1: which is basically telling them, no, we are unable to

332
00:20:17,400 --> 00:20:21,160
Speaker 1: do that. Biden hasn't deviated much from Trump's policies, which

333
00:20:21,240 --> 00:20:25,320
Speaker 1: is essentially like wait in Mexico during this period, and

334
00:20:25,359 --> 00:20:28,159
Speaker 1: we will use a CDC guideline to sort of justify

335
00:20:28,320 --> 00:20:32,240
Speaker 1: sending people back on flights no matter what, under the

336
00:20:32,359 --> 00:20:35,399
Speaker 1: guise of essentially protecting the US from COVID. And a

337
00:20:35,400 --> 00:20:37,480
Speaker 1: lot of people are really skeptical whether or not that

338
00:20:37,720 --> 00:20:40,800
Speaker 1: is even having the positive results they claim to have

339
00:20:40,880 --> 00:20:42,639
Speaker 1: by saying like, oh, these people have we got to

340
00:20:42,640 --> 00:20:44,760
Speaker 1: get them out because of the pandemic. But it's just

341
00:20:44,800 --> 00:20:47,400
Speaker 1: a way to justify the inhumane treatment of these people

342
00:20:47,400 --> 00:20:51,959
Speaker 1: who are seeking asylum. And you know, again cramped conditions,

343
00:20:52,359 --> 00:20:57,480
Speaker 1: glacial pace of processing people, just we're seeing the same problems,

344
00:20:57,840 --> 00:20:59,600
Speaker 1: you know, just sort of play out over and over

345
00:21:00,160 --> 00:21:03,359
Speaker 1: and predictably. Republicans are pouncing on this moment as like

346
00:21:03,400 --> 00:21:07,679
Speaker 1: a way to paint displaced people as subhuman and also

347
00:21:07,840 --> 00:21:10,080
Speaker 1: to try and create a scandal that they can campaign

348
00:21:10,119 --> 00:21:13,680
Speaker 1: on for Joe Biden because xenophobia it is a great

349
00:21:13,720 --> 00:21:16,119
Speaker 1: motivating tactic for their base, which is to point at

350
00:21:16,200 --> 00:21:18,520
Speaker 1: something at the board and say, look, what's happening because

351
00:21:18,520 --> 00:21:20,760
Speaker 1: of Joe Biden. I get out there and vote for

352
00:21:20,800 --> 00:21:24,720
Speaker 1: someone who will treat them like not people. And we've

353
00:21:24,720 --> 00:21:28,119
Speaker 1: already seen pictures of the fucking border patrol, like on

354
00:21:28,240 --> 00:21:31,120
Speaker 1: horses whipping people. I don't know if you saw those

355
00:21:31,160 --> 00:21:35,959
Speaker 1: images yet, but it is a really, really terrible scene.

356
00:21:36,560 --> 00:21:40,040
Speaker 1: And Biden, you know, it's totally aware of this. I

357
00:21:40,080 --> 00:21:42,480
Speaker 1: think the dynamic, especially as it relates to the conservative

358
00:21:42,520 --> 00:21:46,239
Speaker 1: sort of painting of this this incident right now. And

359
00:21:46,280 --> 00:21:48,960
Speaker 1: I think that's why he's barely changed the policy since

360
00:21:48,960 --> 00:21:51,359
Speaker 1: he took office, because he doesn't want that. He doesn't

361
00:21:51,400 --> 00:21:55,520
Speaker 1: want to give the right the the optic win of

362
00:21:55,640 --> 00:21:58,639
Speaker 1: essentially being humane and allowing them to turn it into

363
00:21:58,880 --> 00:22:01,639
Speaker 1: this guy's just just basically burning the borders down. You know,

364
00:22:01,680 --> 00:22:03,880
Speaker 1: it's free for all over here at this point, um,

365
00:22:04,040 --> 00:22:07,360
Speaker 1: And it's and then at the same time, continued sort

366
00:22:07,359 --> 00:22:12,359
Speaker 1: of disregard for Haiti's place in the Western hemisphere and

367
00:22:12,680 --> 00:22:15,560
Speaker 1: why we're at this place, because there's typically a really

368
00:22:15,600 --> 00:22:18,800
Speaker 1: a strong connection between people who are seeking asylum in

369
00:22:18,840 --> 00:22:21,200
Speaker 1: the United States are trying to get into the United

370
00:22:21,200 --> 00:22:24,240
Speaker 1: States and US meddling in their country at some point

371
00:22:24,680 --> 00:22:28,240
Speaker 1: to and destabilizing it. And yeah, Hatie is a really

372
00:22:28,400 --> 00:22:32,240
Speaker 1: good example of that for sure. Yeah, I mean I think,

373
00:22:32,440 --> 00:22:34,359
Speaker 1: you know, the backdrop behind all of this is like

374
00:22:34,400 --> 00:22:38,880
Speaker 1: the earthquake, it's Haiti having lost its president to assassination

375
00:22:39,520 --> 00:22:44,840
Speaker 1: very recently. And yeah, it's it's sad to see, you

376
00:22:44,880 --> 00:22:47,360
Speaker 1: know the fact that Biden isn't doing very much right

377
00:22:47,359 --> 00:22:51,879
Speaker 1: now and is not changing post Trump, is not is

378
00:22:51,920 --> 00:22:55,399
Speaker 1: not really reversing many of these policies. Yeah, it's it's um,

379
00:22:55,440 --> 00:22:58,359
Speaker 1: it definitely feels like an optics thing for sure. Yeah,

380
00:22:58,560 --> 00:23:00,280
Speaker 1: it's it's the only way you can, man, I think,

381
00:23:00,440 --> 00:23:04,320
Speaker 1: because already there's problems as it relates to you know,

382
00:23:04,560 --> 00:23:07,040
Speaker 1: the the COVID mandates, as he you know, he's trying

383
00:23:07,040 --> 00:23:09,320
Speaker 1: to play a very walk of fine line with that.

384
00:23:09,880 --> 00:23:12,240
Speaker 1: There's also like he's got the U n stuff happening

385
00:23:12,240 --> 00:23:14,120
Speaker 1: this week where he's going to try and like beg

386
00:23:14,320 --> 00:23:17,720
Speaker 1: Mike mcrown to like like the US again because the

387
00:23:17,760 --> 00:23:21,320
Speaker 1: whole submarine sale incident. But yeah, I mean I think

388
00:23:21,920 --> 00:23:26,639
Speaker 1: I kind of saw vague reference to that. But because yeah,

389
00:23:26,680 --> 00:23:30,720
Speaker 1: because they're like, hey, like we sell nuclear subs not

390
00:23:30,880 --> 00:23:33,080
Speaker 1: you guys to Australia. It's just it's all part of

391
00:23:33,119 --> 00:23:37,720
Speaker 1: this pact of the New Zealand Australia sort of US

392
00:23:37,760 --> 00:23:41,879
Speaker 1: sort of uh you know, Pacific Pact against China. But

393
00:23:42,400 --> 00:23:44,679
Speaker 1: you know, when it comes to the Haitians, you know,

394
00:23:44,720 --> 00:23:48,159
Speaker 1: like there have ever since that earthquake in two you know,

395
00:23:48,200 --> 00:23:51,520
Speaker 1: it's caused many people to seek opportunity outside of the

396
00:23:51,520 --> 00:23:54,080
Speaker 1: country at a at a like at a larger rate.

397
00:23:54,440 --> 00:23:57,080
Speaker 1: And then the pandemic killed off a lot of jobs

398
00:23:57,119 --> 00:23:59,720
Speaker 1: that people had in places like Brazil or Chile and

399
00:23:59,760 --> 00:24:02,320
Speaker 1: things like that. So they're moving further to try and

400
00:24:02,359 --> 00:24:06,000
Speaker 1: find a way to survive. And this time there are

401
00:24:06,000 --> 00:24:08,560
Speaker 1: a lot of social media rumors that were like fueling

402
00:24:08,560 --> 00:24:11,400
Speaker 1: a lot of the optimism for these migrants, which essentially

403
00:24:11,440 --> 00:24:14,959
Speaker 1: that they were like, well, there's protected status for Haitians,

404
00:24:15,359 --> 00:24:17,399
Speaker 1: but that was really only applying to the people that

405
00:24:17,440 --> 00:24:21,400
Speaker 1: were within the United States, and now they're being met

406
00:24:21,440 --> 00:24:25,359
Speaker 1: at the border with whips and horses and just saying

407
00:24:25,440 --> 00:24:28,359
Speaker 1: like this now is not the time and putting people

408
00:24:28,400 --> 00:24:31,880
Speaker 1: on flights back to a country that is like verging

409
00:24:32,080 --> 00:24:35,520
Speaker 1: on a like full on like hot civil war and

410
00:24:35,560 --> 00:24:37,840
Speaker 1: so many people like this doesn't even make sense, like

411
00:24:38,880 --> 00:24:41,960
Speaker 1: this is just this is like cruelty upon cruelty to

412
00:24:42,040 --> 00:24:44,199
Speaker 1: do this. And you know, to the point of like

413
00:24:44,600 --> 00:24:49,439
Speaker 1: US intervention in Haiti, this has been an issue. You know,

414
00:24:49,480 --> 00:24:53,560
Speaker 1: Haiti's economic development was hamstrung the second that they liberated

415
00:24:53,600 --> 00:24:58,000
Speaker 1: themselves with a slave slave rebellion from France, and France

416
00:24:58,080 --> 00:25:02,320
Speaker 1: essentially said, okay, we'll we'll acknowledge your independence if you

417
00:25:02,400 --> 00:25:06,240
Speaker 1: pay us for the lost property that the slave owners

418
00:25:06,720 --> 00:25:10,720
Speaker 1: experienced as a result of you liberating yourselves. And those

419
00:25:10,760 --> 00:25:13,280
Speaker 1: payments were being made from the beginning of the nineteenth

420
00:25:13,320 --> 00:25:15,000
Speaker 1: century up until the last payment I think was made

421
00:25:15,000 --> 00:25:18,479
Speaker 1: in the forties, the nineteen forties. And you know, again,

422
00:25:18,640 --> 00:25:23,320
Speaker 1: the US was very very quickly entered Haiti like towards

423
00:25:23,359 --> 00:25:26,680
Speaker 1: the or the beginning of the twentieth century, took over

424
00:25:26,720 --> 00:25:28,720
Speaker 1: the treasury and was sort of essentially saying, like, okay,

425
00:25:29,440 --> 00:25:31,040
Speaker 1: of all the wealth in this country is going to

426
00:25:31,080 --> 00:25:33,560
Speaker 1: be redirected towards quote unquote debt that you owe the

427
00:25:33,640 --> 00:25:36,719
Speaker 1: US or France. And this has just been this has

428
00:25:36,840 --> 00:25:40,000
Speaker 1: kept Haiti from actually being able to grow as a

429
00:25:40,119 --> 00:25:43,719
Speaker 1: nation and also be part of a global economy. So

430
00:25:44,400 --> 00:25:48,080
Speaker 1: just like so many layers of of of trauma and

431
00:25:48,200 --> 00:25:50,520
Speaker 1: death to deal with. But this is again, this is

432
00:25:50,760 --> 00:25:52,960
Speaker 1: this is the thing that the American media or mainstream

433
00:25:53,000 --> 00:25:55,080
Speaker 1: media will never do, is like give you a real

434
00:25:55,119 --> 00:25:58,719
Speaker 1: primer on these countries where people are coming from and

435
00:25:58,840 --> 00:26:01,440
Speaker 1: understanding what the u US his role is, and how

436
00:26:01,480 --> 00:26:03,800
Speaker 1: they got to where they are, and on some levels

437
00:26:03,800 --> 00:26:06,960
Speaker 1: should be arguing why we should actually be helping these people,

438
00:26:07,400 --> 00:26:10,960
Speaker 1: because it's typically it's always reasons to like why we shouldn't.

439
00:26:10,960 --> 00:26:13,320
Speaker 1: I mean, Joe Biden famously said in like the nineties

440
00:26:13,359 --> 00:26:16,679
Speaker 1: that like Haiti was just inconsequential to the United States

441
00:26:16,920 --> 00:26:18,760
Speaker 1: and that's why he was focused more on the Balkans.

442
00:26:19,359 --> 00:26:24,320
Speaker 1: So yeah, I actually didn't know he said that interesting. Yeah,

443
00:26:24,440 --> 00:26:27,800
Speaker 1: it's it's really and it's like very like he said

444
00:26:27,800 --> 00:26:31,360
Speaker 1: it in very dark terms, like essentially saying like if

445
00:26:31,359 --> 00:26:34,280
Speaker 1: it's sunk into the sea, like we wouldn't really, we

446
00:26:34,320 --> 00:26:38,359
Speaker 1: wouldn't think twice about it. Nineties Biden tells on modern

447
00:26:38,440 --> 00:26:42,359
Speaker 1: day Biden a lot quotes from nineties Biden like what

448
00:26:42,440 --> 00:26:45,879
Speaker 1: about Israel, And he said if Haiti just quietly sunk

449
00:26:45,920 --> 00:26:48,639
Speaker 1: into the Caribbean or rose up three feet, it wouldn't

450
00:26:48,640 --> 00:26:55,000
Speaker 1: matter a whole lot in terms of our interest. Oh nice, Yeah,

451
00:26:55,040 --> 00:26:58,359
Speaker 1: I do not. That is wild. That is not a

452
00:26:58,400 --> 00:27:01,600
Speaker 1: great quote. Now, but he's not. He's full of not

453
00:27:01,680 --> 00:27:05,960
Speaker 1: great quotes, you know, like and all the time you're like, no,

454
00:27:06,119 --> 00:27:08,200
Speaker 1: he said that. He's sort of one of those people.

455
00:27:08,240 --> 00:27:09,719
Speaker 1: You go, he said that, and then at the other

456
00:27:09,760 --> 00:27:12,760
Speaker 1: side of your mind, Yeah he said that ship. Yeah, right,

457
00:27:12,800 --> 00:27:15,480
Speaker 1: I can also see that. Yeah. I mean the hope

458
00:27:15,560 --> 00:27:20,640
Speaker 1: is that he is politically adaptable and changes and like

459
00:27:20,880 --> 00:27:25,080
Speaker 1: kind of feels the the pressure to move towards the

460
00:27:25,119 --> 00:27:30,480
Speaker 1: more humanitarian place. But that is yeah, well, when you're

461
00:27:30,480 --> 00:27:33,119
Speaker 1: doing ship, like what he's doing at the border right

462
00:27:33,160 --> 00:27:36,960
Speaker 1: now kind of suggests that he hasn't really changed that

463
00:27:37,080 --> 00:27:40,600
Speaker 1: much with regard to it's not a fight he you know,

464
00:27:40,680 --> 00:27:44,040
Speaker 1: this is like another thing, like I think he expended

465
00:27:44,040 --> 00:27:47,919
Speaker 1: a lot of political capital the visibly because of the

466
00:27:47,960 --> 00:27:51,000
Speaker 1: Afghanistan thing, Like we shouldn't have been there. This is

467
00:27:51,040 --> 00:27:53,119
Speaker 1: always going to happen, so someone had to do it

468
00:27:53,119 --> 00:27:55,280
Speaker 1: because every person before me lie to that they were

469
00:27:55,280 --> 00:27:57,240
Speaker 1: going to do it. So we have to do this

470
00:27:57,320 --> 00:28:00,600
Speaker 1: to like move things along. Yeah, did I Is there

471
00:28:00,640 --> 00:28:04,320
Speaker 1: a better way to do it? Yeah? Probably, but he didn't.

472
00:28:04,359 --> 00:28:06,600
Speaker 1: And I think, you know, immigration is just another one

473
00:28:06,600 --> 00:28:09,320
Speaker 1: of those third rail issues in this country where if

474
00:28:09,320 --> 00:28:14,280
Speaker 1: you suddenly have any movement towards a humane policy towards

475
00:28:14,320 --> 00:28:16,480
Speaker 1: allowing people in this country or people who are looking

476
00:28:16,480 --> 00:28:20,720
Speaker 1: for a better life or asylum, that all it's gonna

477
00:28:20,760 --> 00:28:23,399
Speaker 1: do is you're gonna now have to face just a

478
00:28:23,440 --> 00:28:26,760
Speaker 1: media culture war against this idea that you're saying, like

479
00:28:26,800 --> 00:28:30,080
Speaker 1: America doesn't matter and this is just some place for

480
00:28:30,119 --> 00:28:33,639
Speaker 1: people to come flood and be dirty or whatever. And

481
00:28:33,680 --> 00:28:35,639
Speaker 1: I don't think, yeah, it doesn't. See I don't know

482
00:28:35,680 --> 00:28:38,240
Speaker 1: how many people have moved sort of past being able

483
00:28:38,280 --> 00:28:40,320
Speaker 1: to look at a situation like that and kind of

484
00:28:40,320 --> 00:28:42,160
Speaker 1: not have that take up all the oxygen in a

485
00:28:42,680 --> 00:28:47,920
Speaker 1: in the news. Yeah, it's another example of just, you know,

486
00:28:47,960 --> 00:28:52,120
Speaker 1: the the US government basically understaffing the people who are

487
00:28:52,120 --> 00:28:56,760
Speaker 1: processing people who are making claims of asylum. And then

488
00:28:57,280 --> 00:28:59,880
Speaker 1: you know they even if they had the right Paul

489
00:29:00,000 --> 00:29:03,120
Speaker 1: See in place, they would yeah, you know, just be

490
00:29:03,200 --> 00:29:06,400
Speaker 1: like yeah. But it's the same thing with the distribution

491
00:29:06,520 --> 00:29:10,040
Speaker 1: of rent relief and you know, the eviction ban. It's

492
00:29:10,080 --> 00:29:13,360
Speaker 1: like they don't they they can have all these big

493
00:29:13,400 --> 00:29:16,920
Speaker 1: ideas and policies, but then they don't actually staff it up,

494
00:29:16,960 --> 00:29:19,760
Speaker 1: so you don't have the bureaucuracy in place to actually

495
00:29:19,800 --> 00:29:23,200
Speaker 1: do anything with your with your ideas, right. I think

496
00:29:23,200 --> 00:29:25,760
Speaker 1: Deli del Rio is having a huge problem with that,

497
00:29:25,880 --> 00:29:28,920
Speaker 1: like specifically right because they're resting a bunch of people,

498
00:29:29,000 --> 00:29:31,040
Speaker 1: They're putting a lot of these people in jail, and

499
00:29:31,080 --> 00:29:34,239
Speaker 1: they just don't have the staff to like to like

500
00:29:34,280 --> 00:29:37,400
Speaker 1: take care of these individuals, to process them. Like it's

501
00:29:37,440 --> 00:29:39,600
Speaker 1: it's it really is like in Del Rio, it is

502
00:29:39,680 --> 00:29:42,719
Speaker 1: bad right now. Yeah, And the sad thing is that

503
00:29:42,800 --> 00:29:45,800
Speaker 1: all these images just will make someone who's not as

504
00:29:45,840 --> 00:29:49,160
Speaker 1: informed just think that there's no solution to something like this.

505
00:29:49,400 --> 00:29:51,640
Speaker 1: And it's like I don't know, we have border patrol,

506
00:29:51,720 --> 00:29:55,000
Speaker 1: we have you know, customs people who work on this,

507
00:29:55,160 --> 00:29:57,040
Speaker 1: but they still I mean, this is this is this

508
00:29:57,080 --> 00:29:58,960
Speaker 1: is why we got to just tighten stuff up rather

509
00:29:59,000 --> 00:30:01,800
Speaker 1: than really understanding like, no, we're not we're not we're

510
00:30:01,840 --> 00:30:03,880
Speaker 1: not servicing these people in the in the manner that

511
00:30:03,920 --> 00:30:06,960
Speaker 1: we should be. We're not, we're not creating the we

512
00:30:06,960 --> 00:30:09,680
Speaker 1: don't have the actual infrastructure to deal with this because

513
00:30:09,720 --> 00:30:13,440
Speaker 1: this isn't this is only going to increase um as

514
00:30:13,520 --> 00:30:17,560
Speaker 1: climate changes uh and gets more intense and causes more

515
00:30:17,600 --> 00:30:21,800
Speaker 1: like environmental disasters. People are going to move. That's just

516
00:30:22,000 --> 00:30:26,760
Speaker 1: a nailed on fact of our our world, and borders

517
00:30:26,760 --> 00:30:30,920
Speaker 1: are not People still move, So there is some like

518
00:30:31,560 --> 00:30:33,600
Speaker 1: I mean, I don't know when that reckoning is gonna come,

519
00:30:33,640 --> 00:30:35,680
Speaker 1: but you know that's gonna be a huge part of

520
00:30:35,720 --> 00:30:39,120
Speaker 1: how we adapt to the changing world is understanding that,

521
00:30:39,200 --> 00:30:41,720
Speaker 1: like we we have to let go of these ideas

522
00:30:41,760 --> 00:30:43,880
Speaker 1: of like, no, you're from there, you can only stay there,

523
00:30:43,880 --> 00:30:45,640
Speaker 1: and you stay there until you die. And if you don't, like,

524
00:30:45,680 --> 00:30:47,280
Speaker 1: don't even think about coming here, because we really have

525
00:30:47,400 --> 00:30:48,920
Speaker 1: enough for us, stuff for us, and we're not even

526
00:30:48,920 --> 00:30:50,600
Speaker 1: worried on trying to think of how we can make

527
00:30:50,600 --> 00:30:52,400
Speaker 1: it all work. I mean, for a lot of people,

528
00:30:52,440 --> 00:30:55,480
Speaker 1: the reckoning is already happening, like the you know, Human

529
00:30:55,560 --> 00:30:59,560
Speaker 1: Rights Watch published a letter on Wednesday of last week

530
00:30:59,760 --> 00:31:04,120
Speaker 1: just saying, you know, this policy of like heavily guarding

531
00:31:04,360 --> 00:31:08,440
Speaker 1: the roots that people across the border that are hospitable,

532
00:31:08,920 --> 00:31:14,640
Speaker 1: so that pushing people to extremely hot and unforgiving terrain,

533
00:31:14,920 --> 00:31:17,680
Speaker 1: like they are killing people. They're straight up killing people.

534
00:31:18,360 --> 00:31:21,640
Speaker 1: As the world gets hotter and hotter, heat waves are

535
00:31:21,640 --> 00:31:25,240
Speaker 1: already the deadliest form of natural disaster in the US,

536
00:31:25,400 --> 00:31:32,280
Speaker 1: and they're just pushing people into regions where like, in

537
00:31:32,400 --> 00:31:34,760
Speaker 1: terms of how much it's changing, the number of days

538
00:31:34,760 --> 00:31:37,560
Speaker 1: over a hundred degrees fahrenheit per year is expected to

539
00:31:37,560 --> 00:31:41,440
Speaker 1: climb to sixty by mid century, up from the annual

540
00:31:41,480 --> 00:31:47,200
Speaker 1: average of between two thousand. Like that's more than doubled

541
00:31:47,440 --> 00:31:51,280
Speaker 1: in you know, fifty years because of climate change. It's

542
00:31:51,320 --> 00:31:55,080
Speaker 1: going to really kill a lot of people. And but

543
00:31:55,160 --> 00:31:58,160
Speaker 1: again it's like sort of this we're not doing anything,

544
00:31:58,280 --> 00:32:00,480
Speaker 1: like they're they're the ones who are who were doing

545
00:32:00,480 --> 00:32:06,040
Speaker 1: it type logic that conservatism by doing nothing, like just

546
00:32:06,160 --> 00:32:10,360
Speaker 1: by by doing nothing, rather it allows the Democratic Party

547
00:32:10,400 --> 00:32:13,960
Speaker 1: to just not get called out for doing cruel things,

548
00:32:14,040 --> 00:32:17,520
Speaker 1: but you know, passively do the cruel policy that makes

549
00:32:17,520 --> 00:32:22,520
Speaker 1: it easy for them to triangulate with conservatives. Yeah, I mean, so,

550
00:32:22,560 --> 00:32:25,120
Speaker 1: there are so many thoughts regarding heat waves. One is

551
00:32:25,160 --> 00:32:28,400
Speaker 1: that like, actually nobody knows that they are like the

552
00:32:28,440 --> 00:32:31,200
Speaker 1: deadliest natural disasters. Like people don't think about them. They

553
00:32:31,200 --> 00:32:35,960
Speaker 1: don't happen in a as a shocking of a way,

554
00:32:36,000 --> 00:32:39,960
Speaker 1: as like a wildfire or or a storm. You know,

555
00:32:40,000 --> 00:32:42,040
Speaker 1: it's it's such a different kind of death. It is

556
00:32:42,080 --> 00:32:46,400
Speaker 1: also an incredibly terrible death. It is really really brutal,

557
00:32:46,440 --> 00:32:48,120
Speaker 1: Like if you like, look up an article that tells

558
00:32:48,120 --> 00:32:50,440
Speaker 1: you exactly how people die from heat waves, it is

559
00:32:50,520 --> 00:32:53,960
Speaker 1: not pretty. And on top of that, you have border

560
00:32:53,960 --> 00:32:58,040
Speaker 1: patrol agents dumping water at the border, like when when

561
00:32:58,160 --> 00:33:02,280
Speaker 1: these nonprofit organizations leave water for migrants along those routes,

562
00:33:02,480 --> 00:33:05,760
Speaker 1: they dump the water out, And that that to me

563
00:33:05,880 --> 00:33:08,360
Speaker 1: is really something that every time I think about that,

564
00:33:08,400 --> 00:33:10,520
Speaker 1: it's just like I can't even imagine. I can't even

565
00:33:10,520 --> 00:33:15,640
Speaker 1: imagine doing that as policy, right, because Yeah, and the

566
00:33:15,680 --> 00:33:19,120
Speaker 1: way I think we have these departments set up, it's

567
00:33:19,200 --> 00:33:21,920
Speaker 1: just to be like, Okay, who's who's willing to brutalize

568
00:33:21,960 --> 00:33:24,680
Speaker 1: these people? There has nothing to do with compassion meeting

569
00:33:24,720 --> 00:33:28,680
Speaker 1: these people with compassion. It's like these are invaders, So

570
00:33:28,960 --> 00:33:32,320
Speaker 1: take away anything they have that would potentially give them

571
00:33:32,320 --> 00:33:34,960
Speaker 1: safe passage, like you're saying, like cynically, just like cutting

572
00:33:34,960 --> 00:33:38,600
Speaker 1: open water containers and just leaving it. So there's no

573
00:33:39,000 --> 00:33:43,240
Speaker 1: there's nothing for a fucking human person who's wandering the

574
00:33:43,360 --> 00:33:47,080
Speaker 1: earth to try and have a better outcome for themselves. Yeah,

575
00:33:47,560 --> 00:33:50,560
Speaker 1: just fundamentally, we have just such a barbaric system. And

576
00:33:50,600 --> 00:33:52,760
Speaker 1: I think I think just in general and most countries

577
00:33:52,760 --> 00:33:55,840
Speaker 1: just think of immigration as this like dirty thing or

578
00:33:55,840 --> 00:34:00,320
Speaker 1: a bad thing, rather than acknowledging our place like a

579
00:34:00,320 --> 00:34:03,480
Speaker 1: global community and understanding, like you know, at a certain point,

580
00:34:04,080 --> 00:34:05,960
Speaker 1: I think a lot of Americans are under the assumption

581
00:34:06,000 --> 00:34:09,480
Speaker 1: that America will be the best place to live forever,

582
00:34:09,840 --> 00:34:13,440
Speaker 1: no matter what happens to the planet. And you know,

583
00:34:13,560 --> 00:34:15,719
Speaker 1: I think not many people put themselves in a place

584
00:34:15,800 --> 00:34:18,560
Speaker 1: with what if you were trying to cross the border

585
00:34:19,160 --> 00:34:22,400
Speaker 1: and what does that look like? But I think exceptionalism

586
00:34:22,400 --> 00:34:25,839
Speaker 1: has completely put happy out of people's minds, because that's

587
00:34:25,880 --> 00:34:28,480
Speaker 1: the only way you could look at this and not

588
00:34:28,560 --> 00:34:31,280
Speaker 1: have any compassion. Like I think me and someone who's

589
00:34:31,719 --> 00:34:34,800
Speaker 1: so worried about what the future holds for this planet

590
00:34:34,800 --> 00:34:39,480
Speaker 1: and future generations, it's all I can think of, like, well,

591
00:34:39,520 --> 00:34:41,560
Speaker 1: that that could be you, that could be us, That

592
00:34:41,560 --> 00:34:45,960
Speaker 1: could be I mean except maybe the super rich, right right,

593
00:34:46,600 --> 00:34:48,560
Speaker 1: the super rich are going to be just fine. And

594
00:34:48,600 --> 00:34:52,000
Speaker 1: it's other than that, it could be anyone. Yeah, how

595
00:34:52,040 --> 00:34:54,200
Speaker 1: do you want your kids and grandkids to be treated

596
00:34:54,239 --> 00:34:57,759
Speaker 1: when they're trying to cross the Canadian border? And like

597
00:34:57,840 --> 00:35:00,919
Speaker 1: everybody's trying to get the funk out of America. All right, Well,

598
00:35:00,960 --> 00:35:06,680
Speaker 1: speaking of people doing offensive things through inaction and just

599
00:35:06,800 --> 00:35:10,000
Speaker 1: trying not to be offensive while doing the most offensive

600
00:35:10,000 --> 00:35:14,239
Speaker 1: ship in the world, let's talk about Mike Pence. Apparently

601
00:35:14,280 --> 00:35:16,760
Speaker 1: the rumors are getting louder and louder. Mike Pence thinks

602
00:35:16,880 --> 00:35:20,240
Speaker 1: he has a shot at becoming president. I think he's

603
00:35:20,280 --> 00:35:23,359
Speaker 1: always thought that. You just got strong vibes that he

604
00:35:23,400 --> 00:35:26,080
Speaker 1: was like, I'm just gonna let sit back and let

605
00:35:26,200 --> 00:35:29,960
Speaker 1: Trump just funk himself up, just let him explode, and

606
00:35:30,120 --> 00:35:33,480
Speaker 1: we good. You know, he and the Cokes were you know,

607
00:35:33,520 --> 00:35:36,759
Speaker 1: that was that was He's like the number one boy,

608
00:35:36,960 --> 00:35:39,840
Speaker 1: the number one good boy for the Koch brothers, and

609
00:35:40,120 --> 00:35:41,840
Speaker 1: I think that was their plan for a long time.

610
00:35:42,320 --> 00:35:45,480
Speaker 1: And now they're like, all right, well, let's let's try

611
00:35:45,480 --> 00:35:47,080
Speaker 1: and do it, you know, let's try and get this

612
00:35:47,120 --> 00:35:51,680
Speaker 1: guy in this This is a weird situation for everybody involved.

613
00:35:51,680 --> 00:35:55,759
Speaker 1: I mean, like, you know, Trump and him the first

614
00:35:55,800 --> 00:35:58,040
Speaker 1: of all. The more and more you read, it sounds

615
00:35:58,040 --> 00:36:01,799
Speaker 1: that Pence had a harder time, like thinking of whether

616
00:36:01,920 --> 00:36:04,239
Speaker 1: or not he should invoke the twenty fifth Amendment, over

617
00:36:04,360 --> 00:36:07,080
Speaker 1: whether or not he should invalidate the election, which I

618
00:36:07,120 --> 00:36:12,480
Speaker 1: was like, Okay, that's he was more willing to invalidate

619
00:36:12,480 --> 00:36:15,799
Speaker 1: the election exactly because it's so thirsty for power. Like

620
00:36:15,880 --> 00:36:18,160
Speaker 1: he just did. He just stood I like, you know,

621
00:36:18,280 --> 00:36:21,120
Speaker 1: we saw we saw him throughout the presidency. He was

622
00:36:21,160 --> 00:36:23,719
Speaker 1: like the man in the room who pretended he wasn't

623
00:36:23,760 --> 00:36:26,239
Speaker 1: in the room the whole time, close to walk out

624
00:36:26,320 --> 00:36:29,680
Speaker 1: with his like integrity intact, which wasn't gonna happen. But

625
00:36:30,280 --> 00:36:33,560
Speaker 1: him and Trump have been in like really like bad terms,

626
00:36:33,640 --> 00:36:37,600
Speaker 1: you know, ever since the sixth and him like, you know,

627
00:36:38,000 --> 00:36:41,239
Speaker 1: not invalidating the election for him. Uh. And they say

628
00:36:41,320 --> 00:36:43,759
Speaker 1: that like that. They're one of in the new Bob

629
00:36:43,760 --> 00:36:48,279
Speaker 1: Woodward book that's coming out apparently that Trump told him

630
00:36:48,400 --> 00:36:52,240
Speaker 1: like essentially said I don't want to be your friend anymore. Um,

631
00:36:52,280 --> 00:36:56,319
Speaker 1: like as the administration was winding down, and you know,

632
00:36:56,440 --> 00:36:58,640
Speaker 1: they sin the last time they spoke was maybe April

633
00:36:58,680 --> 00:37:02,319
Speaker 1: after Penn. That's some kind of like heart procedure. And

634
00:37:02,719 --> 00:37:07,239
Speaker 1: I'm you know, Trump, he absolutely if he hates you,

635
00:37:07,480 --> 00:37:09,719
Speaker 1: he's going to come for you. I mean did it

636
00:37:09,719 --> 00:37:12,160
Speaker 1: to Jeff Sessions. He does it to all kinds of people.

637
00:37:12,360 --> 00:37:15,439
Speaker 1: It's not like he's going to be promoting Pence as

638
00:37:15,480 --> 00:37:19,279
Speaker 1: Pence campaigns, like Pence doesn't get to capitalize off of

639
00:37:19,280 --> 00:37:20,880
Speaker 1: any of them. And correct me if I'm wrong, but

640
00:37:21,320 --> 00:37:25,279
Speaker 1: my impression is that Trump supporters, many of them, do

641
00:37:25,360 --> 00:37:31,680
Speaker 1: not actually like Pence. No not. I I got the

642
00:37:31,760 --> 00:37:35,839
Speaker 1: sense from them chanting that they wanted to hang him

643
00:37:36,120 --> 00:37:39,600
Speaker 1: when when they stormed the capital that may maybe they

644
00:37:39,600 --> 00:37:43,160
Speaker 1: weren't the biggest fan. Yeah, he's just trying to do

645
00:37:43,239 --> 00:37:46,759
Speaker 1: this thing where you know, he's like missing all these

646
00:37:47,360 --> 00:37:50,920
Speaker 1: like just sort of basic facts, right that if you're

647
00:37:50,920 --> 00:37:54,040
Speaker 1: your appeal with the magabases fractured, like yeah, there are

648
00:37:54,080 --> 00:37:56,920
Speaker 1: conservatives who do like you, like because you're a Republican

649
00:37:56,960 --> 00:37:59,359
Speaker 1: and you're part of the administration, then you have like

650
00:37:59,719 --> 00:38:03,600
Speaker 1: the agazombie click that is like you're trying to go

651
00:38:03,719 --> 00:38:07,279
Speaker 1: against the leader and will not forgive him. But so

652
00:38:07,360 --> 00:38:08,960
Speaker 1: I'm like, I'm not sure what his appeal, what he

653
00:38:09,000 --> 00:38:11,239
Speaker 1: thinks his appeal is with the base, aside from like

654
00:38:11,800 --> 00:38:14,120
Speaker 1: trying to be you know, because he's not like the

655
00:38:14,200 --> 00:38:17,800
Speaker 1: total piece of ship conservative politician, which is like getting

656
00:38:17,840 --> 00:38:20,719
Speaker 1: really popular like you're you know, Marjorie Taylor Greens and

657
00:38:20,760 --> 00:38:23,920
Speaker 1: like Lauren Bobert types. That's not him. He's like the

658
00:38:24,640 --> 00:38:28,759
Speaker 1: very upstanding, big Christian energy guy who tries to act

659
00:38:28,800 --> 00:38:31,320
Speaker 1: like he is, like, you know, the most moral figure

660
00:38:31,320 --> 00:38:34,840
Speaker 1: in American history, but right, he still tries tries to

661
00:38:35,040 --> 00:38:39,439
Speaker 1: like appear respectable and and seems to care about that,

662
00:38:40,360 --> 00:38:43,440
Speaker 1: although like I don't know, that thing about him not

663
00:38:43,480 --> 00:38:45,080
Speaker 1: being able to be in a room with a woman

664
00:38:45,120 --> 00:38:49,320
Speaker 1: alone is just like really, yeah, it's still like really,

665
00:38:49,480 --> 00:38:51,600
Speaker 1: I think about it every time I hear his name,

666
00:38:52,000 --> 00:38:55,840
Speaker 1: Like that's troubling. That's troubling for anyone, let alone the

667
00:38:55,920 --> 00:38:59,319
Speaker 1: vice president of the United States of America. Like if

668
00:38:59,360 --> 00:39:04,279
Speaker 1: I or that somebody I knew had that policy, or

669
00:39:04,360 --> 00:39:08,960
Speaker 1: like somebody that I knew, it's like a friend of

670
00:39:09,000 --> 00:39:12,560
Speaker 1: a friend had that policy, I'd be like concerned about

671
00:39:12,680 --> 00:39:16,000
Speaker 1: the world, let alone like somebody who is wielding that

672
00:39:16,120 --> 00:39:18,799
Speaker 1: much power, Right, I'm like, are you a monster? Is

673
00:39:18,840 --> 00:39:21,120
Speaker 1: that to do? Like is that the subtext of that?

674
00:39:21,160 --> 00:39:23,000
Speaker 1: Because I know you're trying to act like it's not proper,

675
00:39:23,080 --> 00:39:25,799
Speaker 1: but that just raises so many more questions or what

676
00:39:25,880 --> 00:39:30,480
Speaker 1: you believed um of dynamic between a man and a

677
00:39:30,520 --> 00:39:36,120
Speaker 1: woman should be because it's so aggressively gender normative. Just

678
00:39:36,160 --> 00:39:37,960
Speaker 1: like this, what does I don't even know where this

679
00:39:38,000 --> 00:39:40,480
Speaker 1: guy is coming from. So we'll see what I mean,

680
00:39:40,520 --> 00:39:42,520
Speaker 1: we'll see what he tries to campaign on. What Most

681
00:39:42,560 --> 00:39:44,520
Speaker 1: people who are in orbit of Trump like they've been

682
00:39:44,520 --> 00:39:46,880
Speaker 1: waiting to see what Trump does, you know, like Nicki

683
00:39:46,960 --> 00:39:50,040
Speaker 1: Haley and those types. But he's got an office in

684
00:39:50,160 --> 00:39:53,359
Speaker 1: d C. He's hiring staffers, he's already got a fundraiser going,

685
00:39:53,400 --> 00:39:57,160
Speaker 1: like it looks like this thing's gonna kick off. Yeah,

686
00:39:57,200 --> 00:40:03,440
Speaker 1: but yeah, I think he's very popular with like the

687
00:40:03,560 --> 00:40:07,680
Speaker 1: Cokes and other wealthy benefactors, like that was his main thing.

688
00:40:08,080 --> 00:40:12,239
Speaker 1: It was kind of appeasing them, soothing the people who

689
00:40:12,480 --> 00:40:16,440
Speaker 1: donated to Trump and what like the very wealthy, the

690
00:40:16,480 --> 00:40:19,920
Speaker 1: one percent, Like he was sort of the Trump administration's

691
00:40:20,400 --> 00:40:24,759
Speaker 1: mouthpiece to that group. And so he's always got that

692
00:40:24,880 --> 00:40:27,919
Speaker 1: going for him. I feel I feel like he looks

693
00:40:27,920 --> 00:40:30,040
Speaker 1: at himself in the mirror and he's like, you look

694
00:40:30,120 --> 00:40:32,719
Speaker 1: like a fucking president because he's got that like head

695
00:40:32,719 --> 00:40:35,839
Speaker 1: of white hair, you know, and like he looks like,

696
00:40:37,040 --> 00:40:39,479
Speaker 1: you know, he's got that would be cast to play

697
00:40:39,480 --> 00:40:42,760
Speaker 1: a president on TV if he wasn't like a wooden

698
00:40:43,640 --> 00:40:47,480
Speaker 1: you know, weirdo. But I do. I think this is

699
00:40:47,480 --> 00:40:50,880
Speaker 1: going to get more uh, coverage than it should. Like,

700
00:40:50,960 --> 00:40:52,279
Speaker 1: my guess is he's going to get a lot of

701
00:40:52,280 --> 00:40:56,480
Speaker 1: coverage because most of the mainstream media, like our Democrats

702
00:40:56,520 --> 00:40:59,680
Speaker 1: would think like Democrats and like are like, well, this

703
00:40:59,760 --> 00:41:02,600
Speaker 1: is the safe play. This is you know, like the

704
00:41:04,000 --> 00:41:06,799
Speaker 1: this is what the Republican Party would do if they

705
00:41:06,840 --> 00:41:10,600
Speaker 1: thought like Democrats. Basically is you know, go for the

706
00:41:10,680 --> 00:41:13,880
Speaker 1: safe person who's going to make the right statements, you know,

707
00:41:13,960 --> 00:41:17,920
Speaker 1: any the sentiment in the base completely, right, Yeah, and

708
00:41:17,960 --> 00:41:21,960
Speaker 1: ignored the sentiment in the base completely, and then my

709
00:41:21,960 --> 00:41:26,720
Speaker 1: my assumption is he's going to faith once public polling

710
00:41:26,840 --> 00:41:29,799
Speaker 1: gets involved and they're like, oh he has he has

711
00:41:29,840 --> 00:41:35,960
Speaker 1: like no support, Trump's just gonna come out swinging. I

712
00:41:36,000 --> 00:41:37,840
Speaker 1: mean that would be fun. And then that's going to

713
00:41:37,920 --> 00:41:41,239
Speaker 1: be an entire messy situation. But I don't know. Yeah,

714
00:41:41,440 --> 00:41:45,080
Speaker 1: it's we shall wait and see who thinks they can

715
00:41:45,080 --> 00:41:47,680
Speaker 1: do it. I guess the one thing to to kind

716
00:41:47,719 --> 00:41:51,239
Speaker 1: of keep an eye out for us for when, specifically

717
00:41:51,280 --> 00:41:53,200
Speaker 1: when Trump and Pence could go head to head, because

718
00:41:53,200 --> 00:41:55,000
Speaker 1: then Trump is going to have to explain why Pence

719
00:41:55,080 --> 00:41:58,760
Speaker 1: isn't his his VP pick and pencil have to explain

720
00:41:58,800 --> 00:42:01,479
Speaker 1: why he isn't Trump's VP. Pick and you know that'll

721
00:42:01,520 --> 00:42:06,799
Speaker 1: be yeah, Like he was a total he was a

722
00:42:06,840 --> 00:42:10,680
Speaker 1: total monster to work with folks being the vice presidents

723
00:42:10,680 --> 00:42:12,520
Speaker 1: of the worst times of my life. Then I knew

724
00:42:12,520 --> 00:42:14,320
Speaker 1: I could do it better. And you're like, oh my god,

725
00:42:15,280 --> 00:42:18,319
Speaker 1: I could definitely see Yeah. I mean he must know

726
00:42:18,480 --> 00:42:21,080
Speaker 1: some of the secrets right of the of the administration.

727
00:42:21,280 --> 00:42:24,120
Speaker 1: But at the same time, he has to keep Trump

728
00:42:24,160 --> 00:42:27,879
Speaker 1: supporters on who would consider voting for him on his side, right,

729
00:42:27,960 --> 00:42:31,400
Speaker 1: so he won't be able to ship talk Trump that much.

730
00:42:31,800 --> 00:42:34,680
Speaker 1: Trump will be able to do whatever he wants, right, Yeah,

731
00:42:34,719 --> 00:42:36,560
Speaker 1: I guess what do you think he does? He like

732
00:42:36,680 --> 00:42:39,280
Speaker 1: hits himself and a debate to be like whoa, guys,

733
00:42:39,280 --> 00:42:43,400
Speaker 1: whoa that was crazy? Right? How I can't stop hitting myself.

734
00:42:43,640 --> 00:42:45,920
Speaker 1: Trump's right a little bit. I don't know how to

735
00:42:45,960 --> 00:42:48,759
Speaker 1: disagree with him without being in direct opposition to him.

736
00:42:48,760 --> 00:42:52,839
Speaker 1: So this is gonna be tough. Mhmm. Yeah, that will

737
00:42:52,880 --> 00:42:56,520
Speaker 1: be interesting. It'll be interesting to see Donald Trump, who

738
00:42:56,520 --> 00:42:58,880
Speaker 1: can do whatever he wants. I wonder, I wonder what

739
00:42:58,960 --> 00:43:01,839
Speaker 1: that'll look like. Yeah, he's gonna figure out he's sitting

740
00:43:01,880 --> 00:43:04,319
Speaker 1: on all that cash, so we'll see what he does

741
00:43:04,360 --> 00:43:06,239
Speaker 1: with it. It seems like he's just paying his bills

742
00:43:06,280 --> 00:43:08,920
Speaker 1: at the moment. Probably keep it would be my guess.

743
00:43:09,520 --> 00:43:11,480
Speaker 1: All right, let's take a quick break and we'll be

744
00:43:11,560 --> 00:43:27,320
Speaker 1: right back. And we're back, and some news on college students.

745
00:43:28,080 --> 00:43:34,640
Speaker 1: They are drinking less, smoking more weed. And I don't know,

746
00:43:35,320 --> 00:43:38,640
Speaker 1: this seems kind of natural to me, just based on

747
00:43:39,719 --> 00:43:44,960
Speaker 1: the fact that the quality of weed has gone way

748
00:43:45,080 --> 00:43:50,760
Speaker 1: up and alcohol has always been very like very bad

749
00:43:50,880 --> 00:43:55,000
Speaker 1: for you. Why like is it like I just feel

750
00:43:55,080 --> 00:43:58,839
Speaker 1: like the more you know, yeah, like if I mean,

751
00:43:59,040 --> 00:44:02,919
Speaker 1: is the same legal status is alcohol? Why the funk

752
00:44:02,920 --> 00:44:05,799
Speaker 1: would you ever drink alcohol? I think there's you know,

753
00:44:05,840 --> 00:44:08,640
Speaker 1: a few they right now. They said it's like a

754
00:44:08,680 --> 00:44:12,000
Speaker 1: six percent increase from like a few years ago when

755
00:44:12,040 --> 00:44:14,480
Speaker 1: it comes to like the number of college students who

756
00:44:14,520 --> 00:44:18,200
Speaker 1: are using cannabis. And they also found that like alcohol

757
00:44:18,280 --> 00:44:21,120
Speaker 1: dipped alcohol US dipped from sixty two percent to fifty

758
00:44:21,200 --> 00:44:25,120
Speaker 1: six percent. And like for people of them like who

759
00:44:25,120 --> 00:44:27,880
Speaker 1: are like being drunk like in the last month, that

760
00:44:27,960 --> 00:44:31,480
Speaker 1: one from eight percent from thirty five percent, And binge

761
00:44:31,600 --> 00:44:36,040
Speaker 1: drinking fell of like pretty pretty like heavily. Uh. They said, like,

762
00:44:36,120 --> 00:44:38,279
Speaker 1: you know, binge drinking has gone from thirty two to

763
00:44:38,360 --> 00:44:41,320
Speaker 1: two percent, which is the lowest in like this studies history.

764
00:44:41,760 --> 00:44:44,440
Speaker 1: And but like over the course of even the show,

765
00:44:44,960 --> 00:44:47,440
Speaker 1: we've we've checked in on this poll before, and it

766
00:44:47,480 --> 00:44:51,080
Speaker 1: had always shown that binge drinking was going down and lower,

767
00:44:51,600 --> 00:44:53,520
Speaker 1: and I think that's just always just been the case,

768
00:44:53,560 --> 00:44:56,080
Speaker 1: I think. But but I think the reason it got

769
00:44:56,120 --> 00:44:58,680
Speaker 1: to these historic loads is because twenty just was a

770
00:44:58,719 --> 00:45:02,520
Speaker 1: complete utter lack of of like social social events where

771
00:45:03,080 --> 00:45:06,080
Speaker 1: it seems like that's where college students probably that's their

772
00:45:06,080 --> 00:45:10,480
Speaker 1: preferred venue for alcohol consumption versus the pandemic, which is like,

773
00:45:10,600 --> 00:45:13,360
Speaker 1: how do I make my dorm room interesting for fucking

774
00:45:13,360 --> 00:45:17,319
Speaker 1: twelve hours. Yeah, I'll take some like psychedelics and take

775
00:45:17,400 --> 00:45:21,200
Speaker 1: some edibles and watch ted Lasso and I Got a

776
00:45:21,320 --> 00:45:23,640
Speaker 1: Day Baby. Yeah, that's a good point. You know, it

777
00:45:23,680 --> 00:45:27,040
Speaker 1: will be really interesting to see if this dip like

778
00:45:27,440 --> 00:45:31,640
Speaker 1: continues post pandemic. But like just as a as a

779
00:45:31,719 --> 00:45:34,880
Speaker 1: like individual, like let's just take this for what it is, Like,

780
00:45:34,920 --> 00:45:37,759
Speaker 1: this is like definitely super good news, and that is

781
00:45:38,280 --> 00:45:41,200
Speaker 1: that's very cool, Like it's nice to see because like

782
00:45:41,320 --> 00:45:44,040
Speaker 1: you know, alcohol is just straight up poison and we

783
00:45:44,640 --> 00:45:48,239
Speaker 1: is not in the same way. So it's it's it's

784
00:45:48,560 --> 00:45:51,759
Speaker 1: that's pretty cool. Yeah. This this uh, it's like this

785
00:45:51,800 --> 00:45:54,840
Speaker 1: whole Washington Post article, Like the first like third was

786
00:45:54,880 --> 00:45:57,400
Speaker 1: just this information and then the rest is like debating

787
00:45:57,400 --> 00:46:00,360
Speaker 1: the differences between like weed and like how bad can be.

788
00:46:00,440 --> 00:46:04,239
Speaker 1: And I was like, wait, what's this? Are you this?

789
00:46:04,280 --> 00:46:06,400
Speaker 1: Are you gonna bring up all these scary studies And

790
00:46:06,440 --> 00:46:09,000
Speaker 1: you're like, I don't know though, but for young people, man,

791
00:46:09,120 --> 00:46:10,759
Speaker 1: it can really And I'm like, yeah, there are some

792
00:46:10,800 --> 00:46:13,800
Speaker 1: studies where like certain developmental things can be stunted to

793
00:46:13,800 --> 00:46:16,520
Speaker 1: a certain extent, but not to the point when you're like,

794
00:46:16,600 --> 00:46:20,200
Speaker 1: what is alcohol, like, you know, truly like the effects

795
00:46:20,200 --> 00:46:24,799
Speaker 1: of alcohol and people can are just horrendous. It's really terrible. Yeah,

796
00:46:24,880 --> 00:46:27,440
Speaker 1: I mean it's also like weed studies are so complicated

797
00:46:27,480 --> 00:46:29,680
Speaker 1: to site to like I think I think that's changing.

798
00:46:30,200 --> 00:46:32,920
Speaker 1: But for really really long time, scientists weren't even allowed

799
00:46:33,000 --> 00:46:36,120
Speaker 1: to to study weed unless it came from like one

800
00:46:36,320 --> 00:46:39,960
Speaker 1: specific farm slash lab in the US that was allowed

801
00:46:40,000 --> 00:46:42,440
Speaker 1: to grow it, and the strains and what they were

802
00:46:42,440 --> 00:46:44,800
Speaker 1: growing was not at all representative of what was out

803
00:46:44,920 --> 00:46:50,080
Speaker 1: in the wild in the public um, and so like

804
00:46:50,200 --> 00:46:54,520
Speaker 1: that that like not allowing scientists to properly study weed

805
00:46:55,000 --> 00:46:57,279
Speaker 1: means that like up until very recently and a lot

806
00:46:57,280 --> 00:46:59,319
Speaker 1: of studies were just like, it's just it's it's really

807
00:46:59,360 --> 00:47:03,200
Speaker 1: really hard to take anything from those studies unfortunately, and

808
00:47:03,200 --> 00:47:06,520
Speaker 1: they the I was just gonna say, it looks like

809
00:47:06,560 --> 00:47:11,640
Speaker 1: the byeline on this Washington Post OpEd is Pete cores.

810
00:47:13,120 --> 00:47:20,280
Speaker 1: Maybe maybe that has something to do this Bush Augustus. Okay,

811
00:47:20,320 --> 00:47:24,120
Speaker 1: but yeah, it's it's definitely like, you know, times are changing,

812
00:47:24,200 --> 00:47:27,880
Speaker 1: and obviously the pandemics just like changed all of people's habits,

813
00:47:28,200 --> 00:47:30,680
Speaker 1: but they've also seen like psychedelics. Use of psychedelics has

814
00:47:30,680 --> 00:47:33,000
Speaker 1: gone up by four percent too, and I think that's

815
00:47:33,080 --> 00:47:34,880
Speaker 1: kind of like the I feel like that's sort of

816
00:47:34,880 --> 00:47:40,800
Speaker 1: the newer trend in recreate people using drugs recreationally is psychedelics,

817
00:47:40,840 --> 00:47:45,040
Speaker 1: because it's like that's another thing where we've been prevented

818
00:47:45,080 --> 00:47:48,680
Speaker 1: from really doing in depth research into psychedelics, and the

819
00:47:48,719 --> 00:47:51,400
Speaker 1: stuff that we are only beginning to hear about is

820
00:47:51,440 --> 00:47:54,400
Speaker 1: still it seems very compelling. People see like uses and

821
00:47:54,480 --> 00:47:57,520
Speaker 1: just outside of a trip like that, it's it can

822
00:47:57,600 --> 00:48:01,080
Speaker 1: be spiritually healing that you can and you don't heal

823
00:48:01,120 --> 00:48:03,759
Speaker 1: from certain traumas and things like that, and so yeah,

824
00:48:03,800 --> 00:48:05,800
Speaker 1: I'm sure, and I feel like I always see like

825
00:48:05,840 --> 00:48:07,839
Speaker 1: on TikTok or like a lot of gen Z people

826
00:48:07,880 --> 00:48:11,279
Speaker 1: like doing like trippy psychedelic videos and being like things

827
00:48:11,320 --> 00:48:14,400
Speaker 1: like we don't realize about psychedelics and why, I like

828
00:48:14,520 --> 00:48:16,959
Speaker 1: the government has kept us from like thinking these things.

829
00:48:16,960 --> 00:48:20,239
Speaker 1: So there's definitely this utility I think to psychedelics now

830
00:48:20,280 --> 00:48:23,359
Speaker 1: that people are like sort of connecting to. But yeah,

831
00:48:23,840 --> 00:48:28,000
Speaker 1: it's the trend is going down. I should acknowledge that

832
00:48:28,040 --> 00:48:32,000
Speaker 1: there is a difference between like the effects of alcohol

833
00:48:32,080 --> 00:48:36,120
Speaker 1: and weed. And I definitely chose alcohol in a in

834
00:48:36,200 --> 00:48:39,400
Speaker 1: a big way in my life and the effects are bad.

835
00:48:39,719 --> 00:48:42,480
Speaker 1: But I shouldn't be like, why would you ever choose drinking,

836
00:48:42,520 --> 00:48:45,759
Speaker 1: because I certainly did for a long time. I mean, yeah,

837
00:48:45,800 --> 00:48:48,360
Speaker 1: I mean I don't think drinking is going away for

838
00:48:48,440 --> 00:48:51,240
Speaker 1: what it's worth. I don't think it's like gonna go away.

839
00:48:51,280 --> 00:48:54,000
Speaker 1: But unfortunately, I think that people thinking about it a

840
00:48:54,040 --> 00:48:57,120
Speaker 1: little bit more is a good idea. Yeah, I agree, exactly.

841
00:48:57,480 --> 00:49:02,279
Speaker 1: All right, let's talk about COVID safe COVID preventative measures.

842
00:49:02,680 --> 00:49:06,680
Speaker 1: There were the Emmys two nights ago when Seth Rogan

843
00:49:06,800 --> 00:49:11,440
Speaker 1: just got up and like people were laughing and it

844
00:49:11,520 --> 00:49:14,480
Speaker 1: had the cadence of a stand up routine. But he

845
00:49:14,560 --> 00:49:16,799
Speaker 1: was just like, they lied to us and said this

846
00:49:16,880 --> 00:49:20,440
Speaker 1: was gonna be outside. It's not outside. No one's wearing masks.

847
00:49:20,600 --> 00:49:23,920
Speaker 1: Why I feel unsafe? I wouldn't have come if I

848
00:49:24,000 --> 00:49:29,080
Speaker 1: knew this, Like literally all he said, Like I played

849
00:49:29,080 --> 00:49:31,400
Speaker 1: the clip because he's truly like the Canadian in a

850
00:49:31,480 --> 00:49:33,880
Speaker 1: room full of Americans. He's like the funk are you

851
00:49:33,880 --> 00:49:37,640
Speaker 1: guys doing it here? Like uh so, let's just hear

852
00:49:37,680 --> 00:49:41,680
Speaker 1: seth room. But yeah, it's funny because his disbelief does

853
00:49:41,760 --> 00:49:46,160
Speaker 1: sound like a bit clearly not anyway. Good to be

854
00:49:46,280 --> 00:49:49,200
Speaker 1: here at the Emmy Awards. Let me start by saying,

855
00:49:49,239 --> 00:49:52,919
Speaker 1: there is way too many of us in this little room.

856
00:49:53,040 --> 00:49:57,000
Speaker 1: What are you doing? They said this was outdoors, it's not.

857
00:49:58,960 --> 00:50:03,319
Speaker 1: They lied to We're in a hermetically sealed ten right now.

858
00:50:04,800 --> 00:50:08,480
Speaker 1: I would not have come to this. Why is there

859
00:50:08,520 --> 00:50:12,840
Speaker 1: a roof? It's that we have three chandeliers and that

860
00:50:12,880 --> 00:50:18,279
Speaker 1: we make sure we don't kill Eugene Levy tonight out

861
00:50:18,320 --> 00:50:20,960
Speaker 1: for a fellow Canadian. But you know, I love that

862
00:50:21,000 --> 00:50:25,360
Speaker 1: he talks about Eugene Levy. I had not seen that clip.

863
00:50:25,880 --> 00:50:29,799
Speaker 1: That's a good clip. Yeah, he's really. It really does

864
00:50:29,880 --> 00:50:32,080
Speaker 1: feel like like if I were at a party and

865
00:50:32,080 --> 00:50:34,839
Speaker 1: they're like, yeah, it's gonna be all safe as all outdoors,

866
00:50:34,920 --> 00:50:40,240
Speaker 1: vaccinated guests only, and you're like, yo, like someone's fucking

867
00:50:40,280 --> 00:50:42,799
Speaker 1: two car garage and there's spreading of us in here.

868
00:50:42,800 --> 00:50:44,719
Speaker 1: What are we doing? If you're like, oh, he's so

869
00:50:44,760 --> 00:50:49,600
Speaker 1: funny man by observing shit, but seriously, they said this

870
00:50:49,680 --> 00:50:54,000
Speaker 1: is going to be outside, that's actually not a stand

871
00:50:54,080 --> 00:50:58,640
Speaker 1: up routine. He's just talking, right, It's a dystopian nightmare

872
00:50:58,719 --> 00:51:02,000
Speaker 1: where you're like just talking making observations of things that

873
00:51:02,040 --> 00:51:07,680
Speaker 1: are happening, and people like Twilight look at him. He said,

874
00:51:07,719 --> 00:51:11,000
Speaker 1: why are we here? They lied to us. We're in

875
00:51:11,040 --> 00:51:17,479
Speaker 1: a frematically sealed tent. Yeah, yeah, great. He looks great.

876
00:51:18,280 --> 00:51:21,520
Speaker 1: He's like kind of aging into Steve Martin a little bit.

877
00:51:21,560 --> 00:51:25,400
Speaker 1: He's got like a Steve martin ish vibe about him. Um,

878
00:51:25,480 --> 00:51:29,720
Speaker 1: what do you mean? He's like, yeah, it's like clean cut,

879
00:51:29,840 --> 00:51:34,640
Speaker 1: he's got gray hair, he's got classes, but he doesn't

880
00:51:34,640 --> 00:51:36,960
Speaker 1: have like an arrow going through his head or like

881
00:51:37,880 --> 00:51:41,960
Speaker 1: like like a fiddle. What was it? No, Yeah, he

882
00:51:41,960 --> 00:51:45,000
Speaker 1: ain't banjoin. He's he's throwing. He's throwing that clay, you

883
00:51:45,000 --> 00:51:49,680
Speaker 1: know what I mean, doing the pottery. Yeah, I like that. Well,

884
00:51:49,920 --> 00:51:53,880
Speaker 1: speaking of um, you know, COVID logic, that is difficult

885
00:51:53,920 --> 00:52:00,279
Speaker 1: to differentiate from comedy. There's I don't know, like what

886
00:52:00,280 --> 00:52:06,839
Speaker 1: what was the outlet that published part baby. Yeah. So,

887
00:52:07,000 --> 00:52:11,000
Speaker 1: I mean basically the background or the foundation of this

888
00:52:11,120 --> 00:52:14,680
Speaker 1: is that Fox News, you know, poles are saying Americans

889
00:52:14,719 --> 00:52:18,240
Speaker 1: are worried about the pandemic. They embrace vaccines and masks

890
00:52:18,320 --> 00:52:24,800
Speaker 1: and are even okay with mandates. Uh you know, I

891
00:52:24,800 --> 00:52:27,160
Speaker 1: mean the mandates are a little less popular, but that's

892
00:52:27,480 --> 00:52:30,120
Speaker 1: arriving to the point of a fifty percent plus one

893
00:52:30,600 --> 00:52:37,840
Speaker 1: yea fifty yeah and so and even some conservatives are like, yeah, no,

894
00:52:37,920 --> 00:52:40,279
Speaker 1: we're definitely on the wrong side of this. How did

895
00:52:41,040 --> 00:52:45,480
Speaker 1: we get here? And this gentleman has has an idea

896
00:52:45,800 --> 00:52:50,399
Speaker 1: that I am kind of impressed with the kind of

897
00:52:50,480 --> 00:52:54,399
Speaker 1: logical leaps that that they've taken here. But basically their

898
00:52:54,440 --> 00:52:59,400
Speaker 1: explanation is that the rest of the world has reverse

899
00:52:59,520 --> 00:53:06,040
Speaker 1: psycho apologied them into being against vaccines. Because this is

900
00:53:06,080 --> 00:53:10,040
Speaker 1: a because Howard Stern was like, you know, mocking people

901
00:53:10,040 --> 00:53:13,040
Speaker 1: who had passed away from who are like COVID deniers,

902
00:53:13,080 --> 00:53:15,600
Speaker 1: Like really prominent COVID deniers who eventually succumbed to the

903
00:53:15,719 --> 00:53:19,200
Speaker 1: to the virus. And he starts off saying, quote, this

904
00:53:19,280 --> 00:53:21,120
Speaker 1: is all from the op ed. This is not this

905
00:53:21,200 --> 00:53:25,759
Speaker 1: is not fine. Do you want to know why I

906
00:53:25,840 --> 00:53:28,400
Speaker 1: think Howard Stern is going full monster with his mockery

907
00:53:28,440 --> 00:53:31,000
Speaker 1: of three fellow human beings who died of the coronavirus

908
00:53:31,239 --> 00:53:34,520
Speaker 1: Because the leftist like Stern and CNN l O l

909
00:53:35,040 --> 00:53:38,400
Speaker 1: and Joe Biden and Nancy Pelosi and Anthony Fauci are

910
00:53:38,440 --> 00:53:42,600
Speaker 1: deliberately looking to manipulate Trump supporters into not getting vaccinated.

911
00:53:43,120 --> 00:53:46,040
Speaker 1: Nothing else makes sense to me. In a country where

912
00:53:46,080 --> 00:53:48,680
Speaker 1: elections are decided on razor thin margins, it does it

913
00:53:48,800 --> 00:53:51,799
Speaker 1: not benefit one side if their opponents simply dropped dead.

914
00:53:52,160 --> 00:53:54,600
Speaker 1: If I wanted to use their verse psychology to convince

915
00:53:54,640 --> 00:53:57,520
Speaker 1: people not to get a life staving vaccination, I would

916
00:53:57,560 --> 00:54:00,200
Speaker 1: do exactly what Stern and the left are doing. I

917
00:54:00,239 --> 00:54:02,920
Speaker 1: would bully and taunt and mock and ridicule you for

918
00:54:03,040 --> 00:54:06,799
Speaker 1: not getting vaccinated, knowing the human response would be, hey,

919
00:54:06,800 --> 00:54:10,120
Speaker 1: fuck you, I'm never getting vaccinated. No one wants to

920
00:54:10,200 --> 00:54:12,080
Speaker 1: cave to a piece of ship like that, or a

921
00:54:12,120 --> 00:54:15,200
Speaker 1: scumbag like Fauci or any of the scumbags at CNN,

922
00:54:15,360 --> 00:54:18,280
Speaker 1: L O L. So we don't and what's the result.

923
00:54:18,560 --> 00:54:21,319
Speaker 1: They're all vaccinated and we're not. And when you look

924
00:54:21,320 --> 00:54:23,879
Speaker 1: at the numbers, it's only it's only numbers that matter,

925
00:54:23,960 --> 00:54:27,600
Speaker 1: which is who's dying. It's overwhelmingly the unvaccinated who are dying.

926
00:54:27,640 --> 00:54:30,760
Speaker 1: And they have just manipulated millions of their political enemies

927
00:54:30,800 --> 00:54:34,879
Speaker 1: into the unvaccinated camp. According to CDC, again he talks

928
00:54:34,920 --> 00:54:38,440
Speaker 1: about who's dying of China flup um when he goes

929
00:54:38,440 --> 00:54:40,560
Speaker 1: on and say could it be could it possibly be

930
00:54:40,680 --> 00:54:44,040
Speaker 1: the leftist manipulated huge swaths of Trump's voters into believing

931
00:54:44,080 --> 00:54:46,600
Speaker 1: they are owning the left by not taking life saving

932
00:54:46,840 --> 00:54:50,239
Speaker 1: the life saving Trump vaccine. I am strongly pro vaccine,

933
00:54:50,400 --> 00:54:52,719
Speaker 1: and now believe that Biden, the media, Hollywood, and the

934
00:54:52,800 --> 00:54:55,600
Speaker 1: left in general or deliberately being as nasty as possible

935
00:54:55,640 --> 00:54:58,640
Speaker 1: as a way to use reverse psychology against Trump supporters.

936
00:54:58,920 --> 00:55:01,000
Speaker 1: They know that the ugly or they get, the more

937
00:55:01,080 --> 00:55:04,799
Speaker 1: unvaccinated Trump supporters will dig in and refuse to get vaccinated. Well,

938
00:55:04,840 --> 00:55:08,400
Speaker 1: I think that's the plan. They're vaccinated, we're not. The unvaccinated,

939
00:55:08,400 --> 00:55:11,440
Speaker 1: almost exclusively ones she's dying, who's winning the debate, who's

940
00:55:11,480 --> 00:55:19,200
Speaker 1: owning who? I that was exhausting, Miles, But it's my

941
00:55:19,200 --> 00:55:26,120
Speaker 1: My eyebrows are permanently stuck in this quizzical what are

942
00:55:26,480 --> 00:55:28,600
Speaker 1: I'm sorry I put on my eyebrows too high this morning.

943
00:55:29,840 --> 00:55:34,000
Speaker 1: It's like this whole fucking idea that again, it's never

944
00:55:34,080 --> 00:55:38,520
Speaker 1: personal responsibility in this case, apparently because we've been manipularly

945
00:55:38,560 --> 00:55:41,719
Speaker 1: been We've been gamed like a parent would a three

946
00:55:41,760 --> 00:55:45,760
Speaker 1: year old because that's our intellect. Okay, they knew that

947
00:55:45,760 --> 00:55:47,839
Speaker 1: that we're easily manipul I don't know what they're trying

948
00:55:47,880 --> 00:55:49,920
Speaker 1: to say, but these people have not being It's like

949
00:55:49,960 --> 00:55:56,680
Speaker 1: it's very condescending towards people who have not been vaccinated,

950
00:55:56,760 --> 00:56:00,319
Speaker 1: like very like thinking that that is what they're thought

951
00:56:00,360 --> 00:56:05,040
Speaker 1: processes is extremely like infantilizing and condescending. And on the

952
00:56:05,080 --> 00:56:09,680
Speaker 1: other hand, all I see is like health officials desperately

953
00:56:09,800 --> 00:56:14,840
Speaker 1: imploring people who are unvaccinated to actually get the vaccine.

954
00:56:14,960 --> 00:56:19,840
Speaker 1: Like this whole thing is wild. This is yeah, because

955
00:56:19,840 --> 00:56:22,879
Speaker 1: like that scumbag fascion that's the best is just like

956
00:56:23,040 --> 00:56:24,960
Speaker 1: fasci is just from the start, but like please get

957
00:56:24,960 --> 00:56:27,720
Speaker 1: back today, like dude, just just where we're just asking

958
00:56:27,719 --> 00:56:33,600
Speaker 1: you it's safe. Please please please look at this asshole. Okay,

959
00:56:33,760 --> 00:56:37,320
Speaker 1: it's like, wait, what what? This is the thing that

960
00:56:37,400 --> 00:56:39,920
Speaker 1: don't realize this is why they're their logic loop has

961
00:56:40,000 --> 00:56:42,440
Speaker 1: now began to eat its own asshole now because they

962
00:56:42,440 --> 00:56:44,880
Speaker 1: don't understand the origins of this. It's not they have

963
00:56:44,960 --> 00:56:47,840
Speaker 1: not been owned or manipulated by the left. You have

964
00:56:47,920 --> 00:56:52,279
Speaker 1: been owned by the unscrupulous monsters that have weaponized your

965
00:56:52,320 --> 00:56:56,880
Speaker 1: partisanship against you to stay in power. Because the ideology

966
00:56:57,040 --> 00:57:02,160
Speaker 1: for the conservatives is basically don't agree with rules. Ever. Yeah,

967
00:57:02,200 --> 00:57:05,719
Speaker 1: so how the fuck are you being manipulated by them?

968
00:57:05,760 --> 00:57:09,160
Speaker 1: If your marching orders are to just to stand antithetically

969
00:57:09,719 --> 00:57:14,040
Speaker 1: diametrically opposed to whatever they're saying, that's that's that's of

970
00:57:14,080 --> 00:57:17,480
Speaker 1: your own creation. That's how the discourse has operated on

971
00:57:17,480 --> 00:57:20,280
Speaker 1: that side for the last you know, however many decades.

972
00:57:20,440 --> 00:57:23,400
Speaker 1: It's not about Okay, yeah, we can't agree on this thing.

973
00:57:23,440 --> 00:57:27,680
Speaker 1: It's just full stop what they say. No, I'm against it.

974
00:57:27,720 --> 00:57:32,000
Speaker 1: They're manipulating me into not getting a vaccine. It's I'm

975
00:57:32,240 --> 00:57:33,600
Speaker 1: but again, you know, like I don't know if the

976
00:57:33,640 --> 00:57:35,320
Speaker 1: tone of this is to also try and be like,

977
00:57:35,560 --> 00:57:38,400
Speaker 1: so we have to take things back, you know, conservatives

978
00:57:38,400 --> 00:57:41,640
Speaker 1: and get vaccinated, because clearly he is trying to draw

979
00:57:41,680 --> 00:57:43,800
Speaker 1: a line of like this is part of the health

980
00:57:43,840 --> 00:57:46,720
Speaker 1: of the party that's on the line, and yes, maybe

981
00:57:46,800 --> 00:57:49,920
Speaker 1: we've been owned, but are you so are you urging

982
00:57:49,960 --> 00:57:54,680
Speaker 1: them to get vaccinated? What's this also feels like because

983
00:57:54,760 --> 00:57:58,000
Speaker 1: so much of the right is like fueled by really

984
00:57:58,000 --> 00:58:01,880
Speaker 1: wealthy people just funding like think tanks, this also feels

985
00:58:01,960 --> 00:58:04,560
Speaker 1: like it could be a strategy thought up by a

986
00:58:04,560 --> 00:58:10,080
Speaker 1: conservative think tank to like try to get Breitbart readers

987
00:58:10,200 --> 00:58:13,400
Speaker 1: and like the conservative movement on board. They're like, okay,

988
00:58:13,480 --> 00:58:17,200
Speaker 1: so if we say the liberals don't want them to

989
00:58:17,360 --> 00:58:22,200
Speaker 1: do the vaccine, then maybe they do vaccine. Maybe this

990
00:58:22,280 --> 00:58:25,919
Speaker 1: is actually reverse psychology for conservatives where they're like trying

991
00:58:25,960 --> 00:58:28,920
Speaker 1: to convince conservatives and people who are unvaccinated to get

992
00:58:28,960 --> 00:58:33,720
Speaker 1: vaccinated by saying like they're getting like, you know, maybe

993
00:58:34,480 --> 00:58:37,600
Speaker 1: well this is the thing that you say, this ends

994
00:58:37,720 --> 00:58:40,800
Speaker 1: right with sort of this whole thing of like being like,

995
00:58:40,880 --> 00:58:43,080
Speaker 1: you know, the number is startling when you're talking about

996
00:58:43,320 --> 00:58:46,280
Speaker 1: the percentage of people who are dying that are unvaccinated,

997
00:58:46,680 --> 00:58:49,080
Speaker 1: and I open or thinking in this un quoting quote.

998
00:58:49,120 --> 00:58:51,960
Speaker 1: Forget cases, forget mandates, forget masks and Howard Stern. When

999
00:58:51,960 --> 00:58:55,080
Speaker 1: you learn that almost everyone dying is unvaccinated, that's to

1000
00:58:55,160 --> 00:58:57,720
Speaker 1: come to Jesus moment. I could be wrong, Maybe the

1001
00:58:57,800 --> 00:58:59,920
Speaker 1: Left isn't that evil and sly, But when I think

1002
00:59:00,080 --> 00:59:03,200
Speaker 1: the unvaccinated lying they're dying, being told by their doctors, sorry,

1003
00:59:03,200 --> 00:59:05,200
Speaker 1: there's nothing more we can do to get enough oxygen

1004
00:59:05,200 --> 00:59:07,800
Speaker 1: to your lungs, I don't laugh. My heartbreaks for that person.

1005
00:59:08,040 --> 00:59:10,600
Speaker 1: Imagine lying there, dying, thinking that all you had to

1006
00:59:10,640 --> 00:59:14,520
Speaker 1: do was get the Trump vaccine. Rebrand. Even if this

1007
00:59:14,600 --> 00:59:18,120
Speaker 1: isn't the left plan, who's owning who? So? I think

1008
00:59:18,320 --> 00:59:21,640
Speaker 1: this is trying to use the the verbiage of ownage

1009
00:59:22,560 --> 00:59:26,240
Speaker 1: right to get to speak to the conservatives be like, no,

1010
00:59:26,960 --> 00:59:31,240
Speaker 1: we're getting owned the piece of writing. Yeah, this is

1011
00:59:31,280 --> 00:59:33,120
Speaker 1: a fascinating piece of writing. Like I feel like you

1012
00:59:33,160 --> 00:59:36,840
Speaker 1: need to dissect it in so many different ways, but yeah,

1013
00:59:36,880 --> 00:59:40,920
Speaker 1: the rebranding it calling the Trump vaccine saying like, look

1014
00:59:41,120 --> 00:59:44,640
Speaker 1: like people who vote like us are dying, so you

1015
00:59:44,640 --> 00:59:49,640
Speaker 1: should get the vaccine. That's kind of smart, you. I

1016
00:59:49,720 --> 00:59:53,280
Speaker 1: just want these people to get vaccinated, so whatever it takes, honestly, Yeah,

1017
00:59:53,320 --> 00:59:58,800
Speaker 1: I'm like, hey, that's it's like fine if if it's like,

1018
00:59:59,360 --> 01:00:02,080
Speaker 1: well it should we just on this podcast admit to

1019
01:00:02,280 --> 01:00:04,800
Speaker 1: this having been our strategy all along, as we were

1020
01:00:04,800 --> 01:00:08,600
Speaker 1: trying to antagonize them into not getting the vaccine so

1021
01:00:08,640 --> 01:00:12,840
Speaker 1: that we so we can blow up on info Worth. Yeah,

1022
01:00:12,840 --> 01:00:16,920
Speaker 1: so first of all, okay, here we go, uh here,

1023
01:00:16,920 --> 01:00:20,680
Speaker 1: here's a clean edit point. And we were in fact

1024
01:00:21,200 --> 01:00:24,960
Speaker 1: hoping that you wouldn't get vaccinated. Now that our playbook

1025
01:00:25,040 --> 01:00:28,000
Speaker 1: has been exposed, though, I guess you should read this

1026
01:00:28,040 --> 01:00:30,400
Speaker 1: bright part article and who's owning who? I mean, you

1027
01:00:30,400 --> 01:00:33,360
Speaker 1: have to ask yourself that question. Just go get fucking vaccinated?

1028
01:00:34,520 --> 01:00:38,840
Speaker 1: Thanks Who's But I think they're I'm clearly like they

1029
01:00:38,960 --> 01:00:41,920
Speaker 1: that the tone seems to suggest that at the upper

1030
01:00:41,960 --> 01:00:46,400
Speaker 1: echelons of the sort of conservative media apparatus, that this

1031
01:00:46,480 --> 01:00:50,280
Speaker 1: is a problem that they that that they know, and

1032
01:00:50,320 --> 01:00:55,480
Speaker 1: they're like fun, fuck dude, like like they believe everything,

1033
01:00:55,600 --> 01:00:59,040
Speaker 1: and now we're trying to convince them to not like

1034
01:00:59,240 --> 01:01:02,800
Speaker 1: to avoid preventable death because they've took it as a

1035
01:01:02,800 --> 01:01:09,120
Speaker 1: culture war battle. It's yeah, it's truly mind boggling how

1036
01:01:10,200 --> 01:01:15,360
Speaker 1: like Tucker Carlson like gets through a night and like

1037
01:01:15,520 --> 01:01:19,800
Speaker 1: sleeps because it's yeah, these things are just so plainly

1038
01:01:19,840 --> 01:01:24,240
Speaker 1: evident that he's killing people, He's killing his own viewers.

1039
01:01:24,800 --> 01:01:27,480
Speaker 1: I don't know, that's that's pretty wild. Yeah. I mean

1040
01:01:27,800 --> 01:01:31,840
Speaker 1: what's funny is like the day before he wrote some

1041
01:01:32,000 --> 01:01:35,160
Speaker 1: like article that said anti vactors hype but not anti

1042
01:01:35,360 --> 01:01:40,680
Speaker 1: antivactor's hype benign transmission numbers as proof vax doesn't work.

1043
01:01:40,680 --> 01:01:43,480
Speaker 1: So the day before you spent your time just throwing

1044
01:01:43,480 --> 01:01:46,280
Speaker 1: more garbage out there into the world. Then the next

1045
01:01:46,400 --> 01:01:48,600
Speaker 1: day you're like, well, who's owning who? You're like, I

1046
01:01:48,640 --> 01:01:53,439
Speaker 1: think you are, sir. The clicks, you're owning them for clicks,

1047
01:01:53,480 --> 01:01:56,960
Speaker 1: just the casual reference to foul cheap, being a scum vegs.

1048
01:01:57,920 --> 01:02:01,920
Speaker 1: It's okay, I guess. I mean, if that's what, what

1049
01:02:02,000 --> 01:02:04,200
Speaker 1: did he do? Because by the end of it, you're like,

1050
01:02:04,280 --> 01:02:07,120
Speaker 1: we need to get vaccinated. So then you were wrong

1051
01:02:07,200 --> 01:02:10,240
Speaker 1: about him. Yeah, but he was such a scubag about it.

1052
01:02:10,520 --> 01:02:12,680
Speaker 1: He was he didn't want us to You could tell

1053
01:02:13,440 --> 01:02:17,560
Speaker 1: when he was. He was begging us. This hugely earnest

1054
01:02:17,680 --> 01:02:21,240
Speaker 1: human being who has never said anything like that doesn't

1055
01:02:21,840 --> 01:02:26,120
Speaker 1: appear to be capable of insincerity. Uh, he you could

1056
01:02:26,120 --> 01:02:28,040
Speaker 1: tell he was being insince here when he told us

1057
01:02:28,120 --> 01:02:31,520
Speaker 1: we should get the vaccine. Yeah, exactly, And it's that,

1058
01:02:31,720 --> 01:02:36,200
Speaker 1: you know, it's once again just America bending over backwards

1059
01:02:36,320 --> 01:02:41,760
Speaker 1: to have the lowest standards possible for conservative people that

1060
01:02:42,000 --> 01:02:44,160
Speaker 1: like somehow we have to make it not their fault.

1061
01:02:44,640 --> 01:02:48,080
Speaker 1: So yeah, there there are the children we have to

1062
01:02:48,120 --> 01:02:53,800
Speaker 1: bring with us, drag them along forward into the future. Yes, well,

1063
01:02:53,960 --> 01:02:56,760
Speaker 1: what other wait, hold on, what other reverse psychology schemes

1064
01:02:56,760 --> 01:02:59,320
Speaker 1: can we get them to do? Oh? Ship, that's a

1065
01:02:59,360 --> 01:03:02,320
Speaker 1: great point. And you know, you know, yeah, you know

1066
01:03:02,440 --> 01:03:06,760
Speaker 1: what's really cool or fucking closed borders where no one

1067
01:03:06,960 --> 01:03:10,760
Speaker 1: can get get in or out. You hear that, keep

1068
01:03:10,800 --> 01:03:12,720
Speaker 1: everybody where they are. And then you're like, no, man,

1069
01:03:12,760 --> 01:03:15,160
Speaker 1: we need our freedom of movement. Man, because we need

1070
01:03:15,200 --> 01:03:16,880
Speaker 1: that kind of agency as human beings. We have to

1071
01:03:16,880 --> 01:03:18,920
Speaker 1: expend that to others across the cloak. You're like, whoa,

1072
01:03:18,960 --> 01:03:24,440
Speaker 1: it's working. It was that easy. Well, Ari l it's

1073
01:03:24,480 --> 01:03:28,160
Speaker 1: been such a pleasure having you on the daily zeitgeist.

1074
01:03:28,680 --> 01:03:32,880
Speaker 1: Where can people find you and follow you? Uh? So

1075
01:03:32,920 --> 01:03:37,120
Speaker 1: they can find me on Twitter, I guess sometimes at

1076
01:03:37,320 --> 01:03:40,440
Speaker 1: a d r S. I probably post more on Instagram

1077
01:03:40,480 --> 01:03:43,520
Speaker 1: at a d r s and listen to the podcast,

1078
01:03:43,600 --> 01:03:47,680
Speaker 1: listen to Vice News reports also having new podcasts coming out,

1079
01:03:47,760 --> 01:03:50,280
Speaker 1: you know, and of October beginning of November. I can't

1080
01:03:50,280 --> 01:03:51,840
Speaker 1: talk about it just yet, but you don't keep an

1081
01:03:51,880 --> 01:03:54,800
Speaker 1: eye out for that, Okay, do you can? What is

1082
01:03:54,800 --> 01:03:57,760
Speaker 1: it is it? Can you give us a genre anything? Yeah,

1083
01:03:57,800 --> 01:04:03,800
Speaker 1: it'll be like long form now, arrative science, human drama.

1084
01:04:05,560 --> 01:04:09,240
Speaker 1: Yeah like that. And is there is there a tweet

1085
01:04:09,320 --> 01:04:12,280
Speaker 1: or some of the work of social media you've been enjoying.

1086
01:04:12,520 --> 01:04:15,560
Speaker 1: So the tweet that I picked out is one by

1087
01:04:15,880 --> 01:04:20,080
Speaker 1: Paul Ford. I just really appreciated this, this idea, so

1088
01:04:20,840 --> 01:04:23,800
Speaker 1: he tweeted. My favorite part in learning anything new is

1089
01:04:23,880 --> 01:04:27,200
Speaker 1: learning the reasons why everyone in the discipline hates each other.

1090
01:04:29,520 --> 01:04:32,960
Speaker 1: And that just feels so right, Like coming back to

1091
01:04:33,000 --> 01:04:38,560
Speaker 1: the whole cycling thing, you know, electric cyclists versus like

1092
01:04:38,720 --> 01:04:44,840
Speaker 1: wearing cyclists versus you know, city bikers versus delivery people

1093
01:04:45,200 --> 01:04:49,920
Speaker 1: like that, those like turf wars are just so intense

1094
01:04:50,040 --> 01:04:53,080
Speaker 1: and I was kind of unaware of any of it,

1095
01:04:53,640 --> 01:04:56,640
Speaker 1: and I'm I'm learning a lot right now. Yeah. Yeah,

1096
01:04:56,800 --> 01:04:59,560
Speaker 1: it's it's hard out there people talking ship when I'm

1097
01:04:59,560 --> 01:05:02,800
Speaker 1: on my bike. That's only happened twice, but it's like

1098
01:05:03,160 --> 01:05:06,600
Speaker 1: people like nice bike. Like one guy was like on

1099
01:05:06,640 --> 01:05:11,080
Speaker 1: a mountain bike. I was like, dude, fuck you fucking bitter.

1100
01:05:11,280 --> 01:05:13,600
Speaker 1: Like also, bro, I can't hear you because my drumming

1101
01:05:13,600 --> 01:05:17,040
Speaker 1: bass is too loud. But it's so true though. The

1102
01:05:17,080 --> 01:05:19,760
Speaker 1: minute you learn about you, you enter a new world.

1103
01:05:19,840 --> 01:05:22,560
Speaker 1: You're like, oh, like these people hate each other and

1104
01:05:22,560 --> 01:05:25,320
Speaker 1: they love the same things, but they hate each other

1105
01:05:25,640 --> 01:05:29,840
Speaker 1: right right, right exactly. Yeah, that's any whenever people congregate

1106
01:05:29,880 --> 01:05:32,200
Speaker 1: around a thing there we always split off in our

1107
01:05:32,200 --> 01:05:35,800
Speaker 1: little groups. Yep, miles, where can people find you? What's

1108
01:05:35,800 --> 01:05:40,320
Speaker 1: a tweet you've been enjoying? Twitter? Instagram at Miles of Gray,

1109
01:05:40,480 --> 01:05:43,240
Speaker 1: g r A y uh and the other show for

1110
01:05:43,400 --> 01:05:46,400
Speaker 1: twenty day Fiance with Sophia Alexandro where we talk about

1111
01:05:46,440 --> 01:05:48,880
Speaker 1: ninety day fiance, you know, the real where the real

1112
01:05:49,080 --> 01:05:51,920
Speaker 1: ship's going down sometimes to give us a much need

1113
01:05:51,960 --> 01:05:54,720
Speaker 1: to break from the world. A tweet that I like,

1114
01:05:54,800 --> 01:05:57,280
Speaker 1: I like a couple first one is from Brody Gupta

1115
01:05:57,320 --> 01:06:00,760
Speaker 1: at Brody Gupta. You know when Mikayla Cole got her

1116
01:06:00,760 --> 01:06:04,080
Speaker 1: aunt Emmy the other night, she was saying, like, writer's right,

1117
01:06:04,200 --> 01:06:06,440
Speaker 1: what scares you? Was like, her like one of like

1118
01:06:06,480 --> 01:06:09,640
Speaker 1: the poignant lines from her acceptance speech, among many other things.

1119
01:06:09,680 --> 01:06:12,400
Speaker 1: But so Brody grouped a quote tweeted that of the

1120
01:06:12,440 --> 01:06:16,280
Speaker 1: writer's right, what scares you? And Brody tweeted opening a

1121
01:06:16,320 --> 01:06:24,280
Speaker 1: document to simply write the words raccoon hands. Very specific,

1122
01:06:24,880 --> 01:06:26,880
Speaker 1: but I might be a little not what that was

1123
01:06:26,920 --> 01:06:29,560
Speaker 1: being meant. But I love it because I agree that's

1124
01:06:29,920 --> 01:06:31,400
Speaker 1: I always want to look at him and be like,

1125
01:06:31,800 --> 01:06:34,960
Speaker 1: we got fingernails or those cloths? Um. Another one is

1126
01:06:35,000 --> 01:06:38,440
Speaker 1: from Laura Peak at Laura Peak. Underscore tweeted, I'm extremely

1127
01:06:38,480 --> 01:06:41,400
Speaker 1: conflict avoided, which is fine, totally don't even worry about it.

1128
01:06:41,400 --> 01:06:48,880
Speaker 1: I'm good either way. That is so close to my heart. Uh.

1129
01:06:49,000 --> 01:06:52,680
Speaker 1: Tweet I've been enjoying was from Golden Phantom tweeted the

1130
01:06:52,840 --> 01:06:58,360
Speaker 1: trolley Opportunity in reference to the trolley problem. I thought experiment,

1131
01:07:00,120 --> 01:07:05,160
Speaker 1: which I think is basically sums up capitalism and how

1132
01:07:05,600 --> 01:07:11,880
Speaker 1: how business does work. Damn. I like that here, I mean,

1133
01:07:11,920 --> 01:07:16,440
Speaker 1: I hate it, but I like. You can find me

1134
01:07:16,520 --> 01:07:19,360
Speaker 1: on Twitter at Jack Underscore. O'Brien. You can find us

1135
01:07:19,360 --> 01:07:22,400
Speaker 1: on Twitter at Daily Zeitgeist. Were at the Daily Zeitgeist

1136
01:07:22,480 --> 01:07:25,720
Speaker 1: on Instagram. We have Facebook fan page and a website

1137
01:07:25,800 --> 01:07:28,520
Speaker 1: daily zygeist dot com, where we post our episodes on

1138
01:07:28,560 --> 01:07:31,360
Speaker 1: our foot nowhere, where we link off to the information

1139
01:07:31,360 --> 01:07:34,720
Speaker 1: that we talked about in today's episode, as well as

1140
01:07:34,760 --> 01:07:38,000
Speaker 1: the song that we think you might enjoy, Mylesooth song.

1141
01:07:38,000 --> 01:07:39,520
Speaker 1: Are we telling people to go check? You know? I

1142
01:07:39,560 --> 01:07:41,960
Speaker 1: mentioned it already when I was talking about blasting some

1143
01:07:42,080 --> 01:07:45,160
Speaker 1: drumming bass when I'm on my bike. So you know what, y'all,

1144
01:07:45,200 --> 01:07:48,680
Speaker 1: put some d n B in your ears. Uh and

1145
01:07:49,080 --> 01:07:54,520
Speaker 1: no d n n uh not m uh n B

1146
01:07:55,160 --> 01:07:57,640
Speaker 1: into your ears and let's go. Let's go out on

1147
01:07:57,800 --> 01:08:01,080
Speaker 1: Boom by Andy C. You know what I mean. I'm

1148
01:08:01,120 --> 01:08:03,760
Speaker 1: just peddling. I all I do is listen to drum

1149
01:08:03,840 --> 01:08:07,280
Speaker 1: bassing for my bike. So I want y'all to get

1150
01:08:07,840 --> 01:08:10,360
Speaker 1: let feel that wind in your face and just check

1151
01:08:10,440 --> 01:08:14,400
Speaker 1: this one out by Andy C. Boom. You're gonna love it. Uh,

1152
01:08:14,520 --> 01:08:16,880
Speaker 1: or you know, fired up in your and your exercise

1153
01:08:16,920 --> 01:08:19,759
Speaker 1: bike however you like to get down in whatever pedal

1154
01:08:19,880 --> 01:08:23,479
Speaker 1: fashion you do. Yeah, yeah, keep one ear open though,

1155
01:08:23,840 --> 01:08:27,840
Speaker 1: or or use those weird job on Yeah, you don't

1156
01:08:27,840 --> 01:08:29,720
Speaker 1: put it, do it? Don't don't ever fucking put ball

1157
01:08:29,760 --> 01:08:33,680
Speaker 1: the earphones and please, please, please all right, Well, the

1158
01:08:33,760 --> 01:08:36,200
Speaker 1: Daily Zy guys the production by Heart Radio. For more

1159
01:08:36,240 --> 01:08:39,040
Speaker 1: podcasts for my Heart Radio, visit the I Heart Radio app,

1160
01:08:39,080 --> 01:08:41,599
Speaker 1: Apple podcast, or wherever you listen to your favorites shows.

1161
01:08:42,120 --> 01:08:45,040
Speaker 1: That is gonna do it for us this morning, but

1162
01:08:45,080 --> 01:08:47,919
Speaker 1: we're back this afternoon to tell you what is trending

1163
01:08:47,920 --> 01:08:50,080
Speaker 1: and we'll talk to you all that fight by