1
00:00:00,160 --> 00:00:03,400
Speaker 1: Hello the Internet, and welcome to this episode of the

2
00:00:03,560 --> 00:00:07,880
Speaker 1: Weekly Zitgeist. Uh. These are some of our favorite segments

3
00:00:08,119 --> 00:00:13,640
Speaker 1: from this week, all edited together into one uh NonStop

4
00:00:13,800 --> 00:00:22,040
Speaker 1: infotainment last stravaganza. Uh yeah, So, without further ado, here

5
00:00:22,280 --> 00:00:28,520
Speaker 1: is the Weekly Zeitgeist. Let's talk about chole another fast Yeah.

6
00:00:28,600 --> 00:00:30,560
Speaker 1: I mean, so, there was an article was reading in

7
00:00:30,560 --> 00:00:33,720
Speaker 1: the takeout today about how like fast food prices are

8
00:00:33,880 --> 00:00:36,440
Speaker 1: going up because like recently, I saw a commercial McDonald's

9
00:00:36,479 --> 00:00:39,280
Speaker 1: is like the six buck value meal and for six

10
00:00:39,320 --> 00:00:42,839
Speaker 1: bucks you got like a sandwich or nuggets and a

11
00:00:42,920 --> 00:00:45,760
Speaker 1: small fries and it's like a small drink for six bucks.

12
00:00:45,760 --> 00:00:48,839
Speaker 1: I was like, back in my day, get fed with

13
00:00:48,880 --> 00:00:51,600
Speaker 1: a five dollar bill. Uh. And I was a little

14
00:00:51,640 --> 00:00:53,320
Speaker 1: bit I was like, Okay, something's going on. And then

15
00:00:53,320 --> 00:00:55,360
Speaker 1: I saw this article and it makes sense. So they

16
00:00:55,360 --> 00:00:58,080
Speaker 1: were pointing of the fact that like fast casual restaurants

17
00:00:58,120 --> 00:01:01,120
Speaker 1: like Chipotle and Shake Shock and things like that have

18
00:01:01,240 --> 00:01:05,000
Speaker 1: basically like raised our expectations as consumers for what like

19
00:01:05,080 --> 00:01:08,080
Speaker 1: fast food should be. So like that knock on effect

20
00:01:08,160 --> 00:01:11,240
Speaker 1: is that like places like McDonald's are trying to, you know,

21
00:01:11,600 --> 00:01:13,200
Speaker 1: give you a little bit more for your money or

22
00:01:13,240 --> 00:01:16,000
Speaker 1: give you know what are I guess seen as premium

23
00:01:16,080 --> 00:01:19,560
Speaker 1: ingredients and things like that to raise its cash. They're

24
00:01:19,560 --> 00:01:21,560
Speaker 1: also pointing the fact that in two thousand eight, the

25
00:01:21,600 --> 00:01:26,240
Speaker 1: median price of a fast food burger for fifty Today

26
00:01:26,560 --> 00:01:30,880
Speaker 1: what okay, And back to the five dollar bill argument.

27
00:01:30,920 --> 00:01:32,720
Speaker 1: You know, in the last time you could buy get

28
00:01:32,720 --> 00:01:34,240
Speaker 1: fed for a five dollar bill at a fast food

29
00:01:34,240 --> 00:01:40,080
Speaker 1: restaurant and get changed back, it's been that long since

30
00:01:40,120 --> 00:01:42,360
Speaker 1: we've moved past like a whole meal. So you're saying,

31
00:01:42,360 --> 00:01:45,280
Speaker 1: like with a drink in the side, Yeah, I think

32
00:01:45,280 --> 00:01:47,200
Speaker 1: the five dollar meal was years ago, but even just

33
00:01:47,280 --> 00:01:51,960
Speaker 1: a good burger was, and now chicken sandwiches are going up.

34
00:01:52,200 --> 00:01:54,400
Speaker 1: But I guess that all has to do with Chipotle.

35
00:01:54,440 --> 00:01:57,160
Speaker 1: And also things as like more of these fast food

36
00:01:57,160 --> 00:02:01,000
Speaker 1: places are using like actual ingredients rather and like fake

37
00:02:01,160 --> 00:02:04,360
Speaker 1: nonsense chemicals that the prices are going up because they

38
00:02:04,400 --> 00:02:07,000
Speaker 1: have to still compete, uh, and also things like you

39
00:02:07,000 --> 00:02:13,320
Speaker 1: know wages. I guess yeah, So I mean, well, you know,

40
00:02:13,800 --> 00:02:16,160
Speaker 1: we'll hold tough, but it's still at the end of

41
00:02:16,160 --> 00:02:18,440
Speaker 1: the day, I think as people just become more savvy

42
00:02:18,639 --> 00:02:20,200
Speaker 1: and are like, I don't think I can just be

43
00:02:20,240 --> 00:02:22,959
Speaker 1: eating this all the time. That's probably means like the

44
00:02:23,000 --> 00:02:24,560
Speaker 1: clock is starting to run out a little bit on

45
00:02:24,639 --> 00:02:26,480
Speaker 1: fast food as we know it, in the sort of

46
00:02:26,520 --> 00:02:30,760
Speaker 1: fake meal. Yeah, I mean certain things have become way

47
00:02:30,880 --> 00:02:35,200
Speaker 1: way cheaper, like electronics, like a really nice TV used

48
00:02:35,200 --> 00:02:38,400
Speaker 1: to cost like a month's salary and now you can

49
00:02:38,400 --> 00:02:41,840
Speaker 1: get like a flat screen for a week's salary. A

50
00:02:41,840 --> 00:02:46,840
Speaker 1: week's salary. And but yeah, it seems like food because

51
00:02:47,560 --> 00:02:51,360
Speaker 1: we're having higher and higher standards for what we put

52
00:02:51,440 --> 00:02:54,760
Speaker 1: in our face. Hole. Yeah, yeah, wait, what was your

53
00:02:54,760 --> 00:02:57,079
Speaker 1: take on Chippotle though, Anny that you were you want

54
00:02:57,120 --> 00:03:01,359
Speaker 1: to flame? I hadn't into Chipotle until a couple of

55
00:03:01,400 --> 00:03:03,960
Speaker 1: years ago, and it has been built up so much

56
00:03:04,080 --> 00:03:07,560
Speaker 1: by my friends so much. And then I went and

57
00:03:07,600 --> 00:03:11,960
Speaker 1: I was kind of, you know, man, yeah it's okay,

58
00:03:12,080 --> 00:03:15,000
Speaker 1: and I did. The reason I eventually struck it from

59
00:03:15,000 --> 00:03:16,760
Speaker 1: the list was because I'm not sure how people feel

60
00:03:16,760 --> 00:03:21,880
Speaker 1: about Chipotle anymore. But I don't I think, yeah, I

61
00:03:21,880 --> 00:03:24,440
Speaker 1: think it was really big in places where you weren't

62
00:03:24,440 --> 00:03:28,720
Speaker 1: really eating real Mexican food, Like people it's like, oh man, Chipotle,

63
00:03:29,160 --> 00:03:31,760
Speaker 1: you get the whatever. But when I put that against

64
00:03:31,760 --> 00:03:34,680
Speaker 1: any like Toket or something or truck in l a

65
00:03:34,760 --> 00:03:37,080
Speaker 1: I'm like, no, I'm I'm good on Chipotle pretty much

66
00:03:37,080 --> 00:03:41,120
Speaker 1: every time. But their chips, Their chips are good. The

67
00:03:41,160 --> 00:03:42,440
Speaker 1: one thing I need to eat is a case of

68
00:03:42,520 --> 00:03:46,880
Speaker 1: rito where they take they take the tortilla for the

69
00:03:46,880 --> 00:03:49,440
Speaker 1: burrito and make a they take two of those and

70
00:03:49,480 --> 00:03:52,040
Speaker 1: make a case idea, like a big circular case idea,

71
00:03:52,120 --> 00:03:54,600
Speaker 1: and then they use that to wrap your burrito in.

72
00:03:55,680 --> 00:03:57,920
Speaker 1: It makes a difference. I would, I would definitely give

73
00:03:57,960 --> 00:03:59,800
Speaker 1: it a shot. It does make a difference. Yeah, it's

74
00:04:00,080 --> 00:04:01,680
Speaker 1: oh you've never had that. No, That's what I'm saying,

75
00:04:01,760 --> 00:04:04,800
Speaker 1: Yeah I have, because that's the thing. I'm like, that

76
00:04:04,840 --> 00:04:08,280
Speaker 1: does pique my interest as a scumbag food connoissat with

77
00:04:08,360 --> 00:04:13,680
Speaker 1: keeso and then extra cheat yeah, get it, get it

78
00:04:13,760 --> 00:04:17,400
Speaker 1: mojado style over the top. And then instead of a meat,

79
00:04:17,480 --> 00:04:20,440
Speaker 1: you just say sour cream and extra cheese. Yeah, what

80
00:04:20,480 --> 00:04:24,760
Speaker 1: do you want the middle? Sour cream cheese? Uh? And

81
00:04:25,120 --> 00:04:27,360
Speaker 1: do you have any home luck? Back then and half

82
00:04:27,360 --> 00:04:32,960
Speaker 1: and happened? So Ecuador is really trying to send a

83
00:04:33,000 --> 00:04:37,919
Speaker 1: message to Julian Assange that it's over. Yeah, and have

84
00:04:38,040 --> 00:04:40,040
Speaker 1: not worked out between the two of them. Well, we

85
00:04:40,080 --> 00:04:42,400
Speaker 1: saw like a couple of months ago, maybe his last month.

86
00:04:42,440 --> 00:04:46,120
Speaker 1: I don't know time has I'm experiencing severe time dilation

87
00:04:46,200 --> 00:04:49,120
Speaker 1: with the news. But we heard that the Ecuador and

88
00:04:49,120 --> 00:04:51,159
Speaker 1: embassy was like, well, first of all, man, your cat

89
00:04:51,360 --> 00:04:53,800
Speaker 1: is like not you don't clean up after your cat.

90
00:04:54,160 --> 00:04:57,719
Speaker 1: Your bathroom is a disaster. Please clean up your bathroom

91
00:04:57,839 --> 00:05:00,560
Speaker 1: or you will have to leave. Please stop and agonizing

92
00:05:00,560 --> 00:05:04,000
Speaker 1: foreign governments from our WiFi. Uh. Just plead like they

93
00:05:04,040 --> 00:05:06,760
Speaker 1: set ground rules, and I think he probably wasn't following

94
00:05:06,800 --> 00:05:10,239
Speaker 1: them because now the president of Ecuador was basically saying,

95
00:05:10,279 --> 00:05:14,239
Speaker 1: like Lennon Moreno in a radio interview was just like, look, man,

96
00:05:14,640 --> 00:05:17,040
Speaker 1: the road is clear, as he said for Mr Assans

97
00:05:17,080 --> 00:05:19,760
Speaker 1: to take the decision to leave. Uh. And he said

98
00:05:19,760 --> 00:05:23,320
Speaker 1: that they have written assurances from Britain that he will

99
00:05:23,360 --> 00:05:26,560
Speaker 1: not be extradited to face the death penalty abroad. So

100
00:05:26,600 --> 00:05:28,840
Speaker 1: it's sort of like, hey, look, the UK says, look,

101
00:05:28,839 --> 00:05:31,039
Speaker 1: they're not gonna extradite you if there's the death penalty

102
00:05:31,080 --> 00:05:34,400
Speaker 1: on the table. Uh, so can you go? Uh? And

103
00:05:34,440 --> 00:05:36,800
Speaker 1: it's it's not sure what this is what's going to happen,

104
00:05:36,839 --> 00:05:41,080
Speaker 1: but the accounts of like we're hearing more about what

105
00:05:41,360 --> 00:05:44,160
Speaker 1: his life is like and I don't know if he's

106
00:05:44,200 --> 00:05:46,400
Speaker 1: clearly struggling, like I want to laugh, but I don't know.

107
00:05:46,480 --> 00:05:47,839
Speaker 1: I mean if I was a guy who was cooped

108
00:05:47,920 --> 00:05:50,520
Speaker 1: up in a embassy for six years, even though I'm

109
00:05:50,520 --> 00:05:54,520
Speaker 1: facing a slew of interesting charges in many countries. It's

110
00:05:54,600 --> 00:05:57,280
Speaker 1: like one person who has gone to interview him a

111
00:05:57,400 --> 00:06:01,400
Speaker 1: quote from him just says it seems he doesn't wash properly.

112
00:06:01,920 --> 00:06:05,200
Speaker 1: Is a direct quote, because he is the smelly kid,

113
00:06:05,800 --> 00:06:09,000
Speaker 1: and that feels like a very insulting way, Like that's

114
00:06:09,040 --> 00:06:12,680
Speaker 1: more cutting than just saying you'll do smells like fucking shit, right,

115
00:06:13,360 --> 00:06:16,719
Speaker 1: like something like it seems he doesn't want like it

116
00:06:16,920 --> 00:06:21,640
Speaker 1: seems there's something yeah, And I love that. One of

117
00:06:21,680 --> 00:06:25,320
Speaker 1: his former aids said, Julian ate everything with his hands,

118
00:06:25,440 --> 00:06:28,200
Speaker 1: and he always wiped his fingers on his pants. I

119
00:06:28,240 --> 00:06:30,840
Speaker 1: have never seen pants as greasy as his in my

120
00:06:30,880 --> 00:06:35,960
Speaker 1: whole life. So he's wearing like grease chaps basically in

121
00:06:36,000 --> 00:06:40,159
Speaker 1: the front. Like I would have suspected that this was

122
00:06:40,320 --> 00:06:42,920
Speaker 1: just Ecuador's way of being like, get the funk out

123
00:06:42,920 --> 00:06:45,480
Speaker 1: of here, man, like we're gonna spread rumors about your

124
00:06:45,520 --> 00:06:48,680
Speaker 1: hygiene if you don't just leave. But they've got like

125
00:06:48,800 --> 00:06:51,360
Speaker 1: journalists who went and interviewed, and they have his form

126
00:06:51,520 --> 00:06:54,560
Speaker 1: one of his closest aids, just being like, yeah, man,

127
00:06:54,680 --> 00:07:00,440
Speaker 1: I eating everything with your hands. Seems like you've I

128
00:07:00,440 --> 00:07:03,039
Speaker 1: don't know what's going on, and it seems like some

129
00:07:03,279 --> 00:07:06,640
Speaker 1: Howard Hughes ship is going down, like he's like on

130
00:07:06,640 --> 00:07:09,800
Speaker 1: onto that place where you know, he might as well

131
00:07:09,840 --> 00:07:12,800
Speaker 1: be peeing in bottles. And well, I mean when you

132
00:07:12,840 --> 00:07:15,120
Speaker 1: hear the state of the bathroom he was in, and

133
00:07:15,360 --> 00:07:18,960
Speaker 1: he's probably somewhere in that just saying they switched the

134
00:07:19,000 --> 00:07:23,360
Speaker 1: samples over and over again. Well, one thing that John

135
00:07:23,440 --> 00:07:26,960
Speaker 1: Kelly is certainly going to miss is freaking out about

136
00:07:26,960 --> 00:07:30,960
Speaker 1: the border and blocking trying to shut down the US

137
00:07:31,000 --> 00:07:35,640
Speaker 1: Mexican border. And the caravan is a story that we

138
00:07:35,640 --> 00:07:38,920
Speaker 1: were all kind of focused on in the run up

139
00:07:38,920 --> 00:07:43,360
Speaker 1: to the election, and it has become far less of

140
00:07:43,400 --> 00:07:47,560
Speaker 1: a story in the aftermath of the mid term elections. Uh.

141
00:07:47,600 --> 00:07:53,080
Speaker 1: And there is some recent reporting from BuzzFeed that suggests

142
00:07:53,200 --> 00:07:58,320
Speaker 1: that there were some mysterious actors working on behalf of

143
00:07:58,760 --> 00:08:02,080
Speaker 1: like kind of getting both pumped up and getting the

144
00:08:02,160 --> 00:08:05,400
Speaker 1: numbers pumped up in the caravan, like it was manna

145
00:08:05,480 --> 00:08:09,120
Speaker 1: from heaven, rhetorical manna from heaven for them to be like, oh, finally, okay,

146
00:08:09,200 --> 00:08:11,520
Speaker 1: let's let's drum up all the xenophobia with this thing

147
00:08:11,560 --> 00:08:14,960
Speaker 1: to get people to the polls. Now there's a report,

148
00:08:15,440 --> 00:08:17,840
Speaker 1: like I think BuzzFeed was reporting that they found that

149
00:08:17,880 --> 00:08:21,760
Speaker 1: there was a fake account that may have helped build

150
00:08:21,840 --> 00:08:24,320
Speaker 1: momentum for the migrant caravan. So they're not saying that

151
00:08:24,360 --> 00:08:27,640
Speaker 1: it actually like it began with this account, but there

152
00:08:27,680 --> 00:08:30,920
Speaker 1: was an account that was using Facebook Messenger to communicate

153
00:08:30,960 --> 00:08:35,959
Speaker 1: with other like political figures in Honduras, uh to pretend

154
00:08:36,000 --> 00:08:38,160
Speaker 1: to be Bartolo Fuentz, who was like one of the

155
00:08:38,480 --> 00:08:41,760
Speaker 1: main activists who like is in support of the caravan,

156
00:08:42,080 --> 00:08:45,080
Speaker 1: but was basically opposing as him to sort of get

157
00:08:45,120 --> 00:08:48,160
Speaker 1: other people to like get involved with it. So it

158
00:08:48,240 --> 00:08:51,000
Speaker 1: said before the account got started, not many people seemed

159
00:08:51,040 --> 00:08:53,360
Speaker 1: to be joining, but only after the account kicked into

160
00:08:53,360 --> 00:08:57,040
Speaker 1: gear did enthusiasm and participation spike. And the account also

161
00:08:57,120 --> 00:08:59,720
Speaker 1: claimed falsely that the caravan was being led by immigrant

162
00:08:59,760 --> 00:09:05,320
Speaker 1: rights organization called and yeah once like I think the

163
00:09:05,360 --> 00:09:08,560
Speaker 1: caravan began to swell. Uh, this group did get involved,

164
00:09:08,559 --> 00:09:10,240
Speaker 1: but they weren't like leading it. So it's a very

165
00:09:10,280 --> 00:09:13,200
Speaker 1: interesting thing, Like they're saying that this thing may have

166
00:09:13,280 --> 00:09:15,480
Speaker 1: sort of pushed it to the tipping point to get

167
00:09:15,520 --> 00:09:18,000
Speaker 1: people moving. Now, of course they're not saying that this

168
00:09:18,080 --> 00:09:21,200
Speaker 1: had anything to do with like the socio political forces

169
00:09:21,400 --> 00:09:25,240
Speaker 1: at play, which just that there's migrant caravans like multiple

170
00:09:25,320 --> 00:09:28,160
Speaker 1: times a year, and this turned into the biggest one.

171
00:09:28,800 --> 00:09:32,040
Speaker 1: It got some help kind of gaining momentum and becoming

172
00:09:32,120 --> 00:09:37,360
Speaker 1: the biggest one ever through this impostor Facebook account. Well

173
00:09:37,360 --> 00:09:39,760
Speaker 1: it's funny too, because when they reached out to Facebook,

174
00:09:39,800 --> 00:09:41,920
Speaker 1: they're like, hey, can you tell us anything about it?

175
00:09:42,160 --> 00:09:45,960
Speaker 1: They basically, as they say, refuse to release information about

176
00:09:45,960 --> 00:09:48,800
Speaker 1: the account, who may have set it up or what country?

177
00:09:48,920 --> 00:09:54,679
Speaker 1: Right it may have originated from, right but rhymes with Prussia,

178
00:09:54,840 --> 00:09:59,720
Speaker 1: but we're not gonna tell you in particular. Um. Yeah,

179
00:09:59,800 --> 00:10:02,480
Speaker 1: that timing it was just I mean, again, this is

180
00:10:02,520 --> 00:10:06,680
Speaker 1: what happens with Facebook now when they're not upfront about everything. Yeah,

181
00:10:06,800 --> 00:10:08,600
Speaker 1: you think they could make things go away if they

182
00:10:08,600 --> 00:10:10,760
Speaker 1: could just begin owning up to the fact that they've

183
00:10:10,800 --> 00:10:15,880
Speaker 1: been screwing up tremendously every day. Yeah, but think about

184
00:10:15,880 --> 00:10:18,160
Speaker 1: all the ways that the left cheats by, like having

185
00:10:18,200 --> 00:10:21,800
Speaker 1: all these huge storms come about because the climate change,

186
00:10:21,840 --> 00:10:24,640
Speaker 1: Like they're all, you know, the climate change people. It's

187
00:10:24,679 --> 00:10:28,160
Speaker 1: like the timing on that pretty convenient, that is true. Yeah.

188
00:10:28,440 --> 00:10:34,920
Speaker 1: So there was a big all right con over the

189
00:10:34,920 --> 00:10:39,960
Speaker 1: weekend convention I probably need to clarify convention. Yeah, and

190
00:10:40,080 --> 00:10:43,400
Speaker 1: it was. It featured the likes of Laura Lumer, Jack

191
00:10:44,240 --> 00:10:52,040
Speaker 1: sob Sobak whatever and uh it, Mike Cernovitch. There's a

192
00:10:52,080 --> 00:10:57,320
Speaker 1: lot all kinds of people there. Yeah, and uh it

193
00:10:57,400 --> 00:11:00,520
Speaker 1: did not draw as well as people were expected. They

194
00:11:00,520 --> 00:11:04,959
Speaker 1: called it the American American Priority Conference in d C.

195
00:11:05,480 --> 00:11:09,600
Speaker 1: First of all, bad name, horrible. Yeah, and it's basically

196
00:11:09,600 --> 00:11:11,959
Speaker 1: like what c pack is, but to the right of

197
00:11:11,960 --> 00:11:15,040
Speaker 1: that even which is hard to imagine what that is

198
00:11:15,080 --> 00:11:17,800
Speaker 1: even like. And it's because it's a lot of you know,

199
00:11:18,080 --> 00:11:21,040
Speaker 1: Q and on ship people from like Gateway Punded or

200
00:11:21,080 --> 00:11:25,040
Speaker 1: formerly of Gateway Punded, just all varieties of wacky alt

201
00:11:25,120 --> 00:11:28,400
Speaker 1: right kind of talk. Yeah, there are a lot of

202
00:11:28,400 --> 00:11:31,040
Speaker 1: bunch of goofballs there. But the photos of the thing

203
00:11:31,160 --> 00:11:34,760
Speaker 1: are so so sad, Like a lot of Will Summer

204
00:11:35,440 --> 00:11:37,920
Speaker 1: went to I guess a panel that was called why

205
00:11:37,960 --> 00:11:42,120
Speaker 1: you should subscribe to Beauty Pie was a thing. Uh

206
00:11:42,160 --> 00:11:45,719
Speaker 1: and there were maybe nine people like in this gigantic

207
00:11:45,760 --> 00:11:48,920
Speaker 1: ballroom like for at a at a hotel um and

208
00:11:48,960 --> 00:11:51,320
Speaker 1: then even like the as like the d C police said,

209
00:11:51,320 --> 00:11:53,480
Speaker 1: they're like, oh yeah, a couple dozen, like two to

210
00:11:53,559 --> 00:11:55,440
Speaker 1: three dozen at most in each room, but a lot

211
00:11:55,480 --> 00:11:57,320
Speaker 1: of the journalists who were there like that is a

212
00:11:57,440 --> 00:12:00,680
Speaker 1: very generous estimation of the well is a hundred sixty

213
00:12:00,720 --> 00:12:03,480
Speaker 1: five bucks a ticket. And yeah, like all these people,

214
00:12:03,960 --> 00:12:08,760
Speaker 1: they're inconstant just like weird scandals like Jack pos Obak

215
00:12:08,880 --> 00:12:11,200
Speaker 1: is like constantly been caught trying to cheat on his

216
00:12:11,240 --> 00:12:14,840
Speaker 1: wife on bumble by people, and like Cernovich is just

217
00:12:14,960 --> 00:12:19,600
Speaker 1: a weird, weird, sad dude drinks and goes like on

218
00:12:19,679 --> 00:12:22,760
Speaker 1: live streams and just says nonsense, like the brand is

219
00:12:22,880 --> 00:12:25,560
Speaker 1: fucking just failing. It's just so funny to be like

220
00:12:25,679 --> 00:12:28,240
Speaker 1: evil and your problem is that, like people don't really

221
00:12:28,280 --> 00:12:32,800
Speaker 1: like you much, kind of unpopular and yeah, sorry, it's

222
00:12:32,800 --> 00:12:36,760
Speaker 1: funny now it was, but like that that used to

223
00:12:36,840 --> 00:12:39,320
Speaker 1: be sort of what I would have expected, But now

224
00:12:40,320 --> 00:12:42,920
Speaker 1: it seems like this is a new direction for the

225
00:12:42,960 --> 00:12:46,760
Speaker 1: AULT right where they're in somewhat of a spiral. Yeah,

226
00:12:46,800 --> 00:12:49,360
Speaker 1: and like I think they thought, well, I mean, I'm

227
00:12:49,360 --> 00:12:51,840
Speaker 1: sure at the very beginning of the administration and the

228
00:12:52,040 --> 00:12:54,600
Speaker 1: like a tail end of the election, like Okay, there's

229
00:12:55,040 --> 00:12:57,520
Speaker 1: we got an audience here, and then they just they

230
00:12:57,520 --> 00:13:01,240
Speaker 1: made their move too late and realized, oh, nobody is

231
00:13:01,320 --> 00:13:03,880
Speaker 1: working with us anymore. And all the retweets I'm getting

232
00:13:03,960 --> 00:13:07,240
Speaker 1: is probably from people who are ridiculing me, right. And

233
00:13:07,280 --> 00:13:10,960
Speaker 1: then Anthony Scaramucci was there for some reason and apparently

234
00:13:11,160 --> 00:13:14,160
Speaker 1: like gassed up a bunch of Q and On believers,

235
00:13:14,200 --> 00:13:18,880
Speaker 1: like at an event called Coffee with Mooch, and apparently

236
00:13:18,880 --> 00:13:21,680
Speaker 1: they're saying, uh in politically said he spoke glowingly of

237
00:13:21,720 --> 00:13:24,199
Speaker 1: the theory, the Q and On theory as a couple

238
00:13:24,240 --> 00:13:28,520
Speaker 1: from Stafford, Virginia showed their que paraphernalia. Uh. And then

239
00:13:28,800 --> 00:13:31,560
Speaker 1: apparently he told these people that he's like, you're not

240
00:13:31,600 --> 00:13:36,120
Speaker 1: gonna believe who it is to these people, yeah, and

241
00:13:36,160 --> 00:13:38,599
Speaker 1: they're like, oh my god, so you do know and

242
00:13:38,600 --> 00:13:40,120
Speaker 1: he's like, yeah, you're not gonna believe it. And then

243
00:13:40,120 --> 00:13:42,720
Speaker 1: he goes away. And then like these journalists and political

244
00:13:42,760 --> 00:13:44,920
Speaker 1: went up from like, yo, did you just tell them

245
00:13:45,040 --> 00:13:46,880
Speaker 1: something about Q and On? And he like kind of

246
00:13:46,920 --> 00:13:49,320
Speaker 1: denied like he had said anything about it. And then

247
00:13:49,400 --> 00:13:52,040
Speaker 1: those same journalists went to the couple he was talking

248
00:13:52,040 --> 00:13:55,439
Speaker 1: to and they go, yeah, he's talking about Q. So

249
00:13:56,200 --> 00:13:58,480
Speaker 1: I mean, you know, don't take advantage of these people

250
00:13:58,559 --> 00:14:02,959
Speaker 1: with their fantasy Q. And that's so sad. But hey,

251
00:14:03,040 --> 00:14:07,960
Speaker 1: you know it's like Harry Potter for for baby boomers. Yeah,

252
00:14:08,080 --> 00:14:13,960
Speaker 1: but like sad, sort of lost spiritually and emotionally. Tweets

253
00:14:14,040 --> 00:14:17,880
Speaker 1: and like messageboard posts from Q followers like when something

254
00:14:17,960 --> 00:14:22,240
Speaker 1: happens that makes it seem indisputable that the Q thing

255
00:14:22,600 --> 00:14:25,840
Speaker 1: was bullshit. Yeah, they're just or that Mueller is working

256
00:14:26,040 --> 00:14:29,920
Speaker 1: against Trump rather than with Trump as they all believe. Yeah,

257
00:14:30,360 --> 00:14:35,000
Speaker 1: like my I haven't my wife so stressful. I haven't

258
00:14:35,000 --> 00:14:37,840
Speaker 1: spoken to my wife in months. Please tell me this

259
00:14:37,880 --> 00:14:41,880
Speaker 1: isn't like I've lost my family over this. Like I

260
00:14:41,920 --> 00:14:44,880
Speaker 1: really do believe Q, but I need something to help me.

261
00:14:46,680 --> 00:14:48,600
Speaker 1: I wanted to talk real quick about this New York

262
00:14:48,600 --> 00:14:51,800
Speaker 1: Times story about location based tracking, which is something that

263
00:14:51,840 --> 00:14:54,160
Speaker 1: I was like vaguely aware was happening in the background

264
00:14:54,160 --> 00:14:58,720
Speaker 1: of my smartphone, and it's apparently a twenty one billion

265
00:14:58,760 --> 00:15:02,000
Speaker 1: dollar business. What the idea that an app will track

266
00:15:02,040 --> 00:15:04,960
Speaker 1: you or serving people? What is it they're selling the data?

267
00:15:05,040 --> 00:15:08,320
Speaker 1: They're selling your data. So apps that track your location,

268
00:15:08,480 --> 00:15:11,680
Speaker 1: are keeping extremely close tabs on where you are. They

269
00:15:11,720 --> 00:15:14,600
Speaker 1: know where you live. They like, no, okay, you're the

270
00:15:14,680 --> 00:15:18,200
Speaker 1: only person who moves from this house to this pace,

271
00:15:18,440 --> 00:15:21,840
Speaker 1: like on a regular basis. And IBM just bought the

272
00:15:21,840 --> 00:15:25,000
Speaker 1: weather Channels app because the weather Channel is like one

273
00:15:25,040 --> 00:15:28,040
Speaker 1: of those apps that you always leave the location service on.

274
00:15:28,600 --> 00:15:31,520
Speaker 1: Four Square remade itself as a location marketing company, but

275
00:15:31,600 --> 00:15:34,600
Speaker 1: twenty one billion dollars as an industry, Like to put

276
00:15:34,640 --> 00:15:38,960
Speaker 1: that in perspective, like billboards and outdoor marketing is a

277
00:15:39,120 --> 00:15:42,360
Speaker 1: seven point one billion dollar industry, and that's like the

278
00:15:42,440 --> 00:15:47,520
Speaker 1: highest it's ever been. So it's like, yeah, it's triple that.

279
00:15:47,680 --> 00:15:49,960
Speaker 1: And that's a thing that we all know. We all

280
00:15:50,000 --> 00:15:52,640
Speaker 1: know we're under the influence of like billboards when we

281
00:15:52,640 --> 00:15:55,280
Speaker 1: see them, because they're just fucking right there. That's why

282
00:15:55,280 --> 00:16:02,960
Speaker 1: I love Altered Carbonix and Netflix is a joke, wrong giant.

283
00:16:04,000 --> 00:16:09,680
Speaker 1: But yeah, there's this completely invisible industry that I don't

284
00:16:09,840 --> 00:16:11,640
Speaker 1: know them well. But it was like in a social

285
00:16:11,800 --> 00:16:15,440
Speaker 1: gathering and this person was talking about how she worked

286
00:16:15,480 --> 00:16:20,720
Speaker 1: briefly for Google and it's probably against illegal for her

287
00:16:20,800 --> 00:16:24,480
Speaker 1: to tell me this story, so no one will know

288
00:16:24,520 --> 00:16:28,160
Speaker 1: who I'm talking about She said that her job was

289
00:16:28,200 --> 00:16:32,680
Speaker 1: simply to put this device in her purse and find

290
00:16:32,680 --> 00:16:36,320
Speaker 1: a reason to go into local business and stay in

291
00:16:36,320 --> 00:16:39,680
Speaker 1: there long enough until she felt it vibrate, and then

292
00:16:39,720 --> 00:16:42,920
Speaker 1: she would get to leave. And she never knew what

293
00:16:43,040 --> 00:16:47,360
Speaker 1: it was for what, But she quit after a short

294
00:16:47,360 --> 00:16:49,600
Speaker 1: while because it was making her so uncomfortable, because she

295
00:16:49,720 --> 00:16:52,480
Speaker 1: was like she'd have to like an optometry like go

296
00:16:52,560 --> 00:16:54,560
Speaker 1: in and be like, oh, I'm just looking at glasses,

297
00:16:54,560 --> 00:16:55,960
Speaker 1: you know, and just have to like make up a

298
00:16:55,960 --> 00:16:58,040
Speaker 1: reason to be in there, and then mid sentence at

299
00:16:58,040 --> 00:17:01,240
Speaker 1: beefs and she's just like, oh, I'm I don't change

300
00:17:01,240 --> 00:17:06,480
Speaker 1: my mind. And she said she thinks that it was

301
00:17:06,560 --> 00:17:12,639
Speaker 1: like surveying the space, that it was like measuring, like

302
00:17:12,720 --> 00:17:15,719
Speaker 1: sending out little signals and like creating sort of like

303
00:17:15,760 --> 00:17:18,840
Speaker 1: a map of the store. And then that data was

304
00:17:18,880 --> 00:17:20,680
Speaker 1: going to be sold, So Google was going to sell

305
00:17:20,720 --> 00:17:23,280
Speaker 1: that data back to the businesses and go we can track,

306
00:17:23,680 --> 00:17:25,720
Speaker 1: because she's like it was something to do with what

307
00:17:25,760 --> 00:17:28,040
Speaker 1: you're talking about. Where they were mapping the store, and

308
00:17:28,040 --> 00:17:31,439
Speaker 1: then that data could be used in conjunction with people's

309
00:17:31,480 --> 00:17:33,920
Speaker 1: phones so they could find out how long does someone

310
00:17:34,000 --> 00:17:36,800
Speaker 1: stay at the front of the store. How long did

311
00:17:36,800 --> 00:17:38,239
Speaker 1: they stay in the back of the store. I mean

312
00:17:38,240 --> 00:17:40,959
Speaker 1: we're talking like splitting wears down and that's what this,

313
00:17:41,240 --> 00:17:45,040
Speaker 1: that's what this is, this rack for five minutes, so

314
00:17:45,119 --> 00:17:48,800
Speaker 1: that rack is very successful. Whereas yeah, that that that

315
00:17:49,200 --> 00:17:52,560
Speaker 1: display was was affected. You get high engagement in the

316
00:17:52,640 --> 00:17:55,920
Speaker 1: left quad lower left quadruple, and companies are buying this stuff.

317
00:17:55,960 --> 00:17:58,560
Speaker 1: I mean, it's crazy. Personally, I'm just pissed that I

318
00:17:58,600 --> 00:18:00,600
Speaker 1: don't have access to that and from nation, because I

319
00:18:00,640 --> 00:18:03,880
Speaker 1: bet it's fascinating, like all sorts of interesting ship about

320
00:18:03,920 --> 00:18:06,439
Speaker 1: like how humans move in groups, like the way that

321
00:18:06,520 --> 00:18:09,720
Speaker 1: they lay at grocery stores, like they lay it out

322
00:18:09,760 --> 00:18:12,879
Speaker 1: this way because that's like the direction that humans circle.

323
00:18:13,000 --> 00:18:16,159
Speaker 1: And also Cal's circle in that direction, like we all

324
00:18:16,200 --> 00:18:19,639
Speaker 1: we prefer to go counterclockwise. But then there was a

325
00:18:19,760 --> 00:18:23,040
Speaker 1: change because Whole Foods, to like make themselves seem different,

326
00:18:23,480 --> 00:18:26,479
Speaker 1: changed it up so that their direction was in a

327
00:18:26,480 --> 00:18:28,800
Speaker 1: different direction, and now everybody wants to be like Whole

328
00:18:28,840 --> 00:18:32,640
Speaker 1: food so they changed it to the opposite directions. Just weird.

329
00:18:33,320 --> 00:18:36,280
Speaker 1: McDonald's they design mean, there's a million examples of this

330
00:18:36,359 --> 00:18:39,520
Speaker 1: and McDonald's, but they design their their boothts to become

331
00:18:39,600 --> 00:18:44,239
Speaker 1: uncomfortable after twenty minutes, right, right, They don't want you

332
00:18:44,280 --> 00:18:46,920
Speaker 1: to stay in there long enough to go This is disgusting.

333
00:18:48,800 --> 00:18:52,160
Speaker 1: Its true, Like read and yellow are the proven colors

334
00:18:52,200 --> 00:18:55,160
Speaker 1: that like make you uncomfortable and you want to get

335
00:18:55,160 --> 00:18:59,879
Speaker 1: out area and their stressors so like it's like they

336
00:19:00,080 --> 00:19:03,560
Speaker 1: they researched everything. Red is also a stimulant, so it

337
00:19:03,680 --> 00:19:08,040
Speaker 1: like causes it makes you more likely to make impulse decisions. Yeah,

338
00:19:08,160 --> 00:19:10,280
Speaker 1: but then after twenty minutes, you're like, wait, why are

339
00:19:10,359 --> 00:19:19,600
Speaker 1: the floors so slippery? Fat just in the air yet. Uh,

340
00:19:19,760 --> 00:19:21,880
Speaker 1: We're gonna take a quick break. We'll be right back

341
00:19:30,320 --> 00:19:33,320
Speaker 1: edward back. Let's talk about the most googled foods of

342
00:19:33,359 --> 00:19:36,600
Speaker 1: two thousand eighteen, and we have brought in our special

343
00:19:36,680 --> 00:19:42,879
Speaker 1: Keto correspondent to produce her on a hosnie. Listen to

344
00:19:42,880 --> 00:19:47,240
Speaker 1: that energy from that Keto dio vibrating right now. She's hovering.

345
00:19:47,280 --> 00:19:49,000
Speaker 1: But the reason we bring her in is because when

346
00:19:49,000 --> 00:19:50,840
Speaker 1: you look at the most googled food of this year,

347
00:19:51,160 --> 00:19:54,680
Speaker 1: five of the fucking entries are Keto recipes, so Keto pancakes,

348
00:19:54,760 --> 00:19:59,000
Speaker 1: Keto cheesecake, Keto chili, Keto brownies, amongst the other Cheeto

349
00:19:59,119 --> 00:20:02,320
Speaker 1: cookies and Cheeto be better. But it's actually Keto cookies. Huh.

350
00:20:03,200 --> 00:20:05,720
Speaker 1: But yeah, I'm like, it just shows you the power,

351
00:20:05,920 --> 00:20:10,200
Speaker 1: the strength of the Keto. I've been swept crazy Keto

352
00:20:10,240 --> 00:20:12,240
Speaker 1: wave to I'm not, but my roommate was Keto for

353
00:20:12,280 --> 00:20:15,359
Speaker 1: a while and I just threw osmosis and started eating

354
00:20:15,359 --> 00:20:18,560
Speaker 1: a lot less bread. Yeah. Yeah, Now I now I

355
00:20:18,640 --> 00:20:20,679
Speaker 1: know what's keto and wood isn't, and I know what

356
00:20:20,880 --> 00:20:23,399
Speaker 1: it is. I'm not Keto. You know, I didn't have

357
00:20:23,440 --> 00:20:25,840
Speaker 1: a need or desire to lose quite a large amount

358
00:20:25,840 --> 00:20:28,239
Speaker 1: of weight. But yeah, it's making its way through all

359
00:20:28,240 --> 00:20:30,879
Speaker 1: our brains. And my dad was on three different kinds

360
00:20:30,920 --> 00:20:33,680
Speaker 1: of it this year. I tried it for three three

361
00:20:34,080 --> 00:20:37,639
Speaker 1: three dos three And yeah, So you just said that

362
00:20:37,720 --> 00:20:40,479
Speaker 1: you had made Keto pancakes this weekend? Did you not

363
00:20:40,800 --> 00:20:44,160
Speaker 1: made Keto pancakes this weekend? I've made Keto cheesecake, which

364
00:20:44,160 --> 00:20:46,359
Speaker 1: I brought in and you guys all pretended to like it.

365
00:20:46,440 --> 00:20:52,760
Speaker 1: I did know they were delicious. Yeah, on this podcast,

366
00:20:53,560 --> 00:20:58,840
Speaker 1: it's I've made Keto cookie, chocolate chip, Keto cookies. I've

367
00:20:58,880 --> 00:21:04,600
Speaker 1: made keto Um. I use almond flour nice. I also

368
00:21:04,720 --> 00:21:08,720
Speaker 1: use like coconut flour. So this is like no carbs.

369
00:21:08,880 --> 00:21:14,000
Speaker 1: Is that the Keto philosophy. It's all fat, very little sugar. Yeah,

370
00:21:14,240 --> 00:21:18,360
Speaker 1: very very moderate protein, low car But that Keto cheesecake

371
00:21:18,480 --> 00:21:24,119
Speaker 1: was sweet? What was what was so I use for

372
00:21:24,200 --> 00:21:27,840
Speaker 1: the Keto cheesecake? I used the Swerve sugar, which is

373
00:21:27,880 --> 00:21:33,720
Speaker 1: like fake sugar. It's it's it's the from Taking the World.

374
00:21:33,760 --> 00:21:37,119
Speaker 1: You gotta go buy, You gotta go spend most of

375
00:21:37,119 --> 00:21:40,240
Speaker 1: your life savings on this stuff because it's very expensive

376
00:21:40,280 --> 00:21:44,080
Speaker 1: and they only sell it at like health food stores. Right, Yeah,

377
00:21:44,119 --> 00:21:47,480
Speaker 1: I feel like Keto is I feel like this is

378
00:21:47,480 --> 00:21:53,560
Speaker 1: a good time. I need a race ducks a loaf

379
00:21:53,600 --> 00:21:57,200
Speaker 1: for Keto bread. Yeah, low car bread. Look, it's not great,

380
00:21:57,320 --> 00:21:59,680
Speaker 1: but it does the job of you thinking you're eating bread.

381
00:22:00,640 --> 00:22:02,480
Speaker 1: It's just you need something to put things. You toast

382
00:22:02,520 --> 00:22:05,040
Speaker 1: your Keto bagels here in the office, And sometimes I

383
00:22:05,080 --> 00:22:06,439
Speaker 1: smell them and I'm like yeah, and you're like it's

384
00:22:06,480 --> 00:22:10,880
Speaker 1: someone using white out. The other things on this list

385
00:22:10,920 --> 00:22:13,760
Speaker 1: were very interesting too. I feel like we're not treating

386
00:22:13,760 --> 00:22:16,560
Speaker 1: ourselves very well as a species because most of these

387
00:22:16,640 --> 00:22:19,640
Speaker 1: are like when have we ever? Right? But these are

388
00:22:19,800 --> 00:22:22,520
Speaker 1: like it's okay, So like romane lettuce. You know that

389
00:22:22,560 --> 00:22:25,160
Speaker 1: was because of the because that's not what everybody needed

390
00:22:25,160 --> 00:22:30,320
Speaker 1: a romane resturant, Right, how do I cook romanet? CBD gummies?

391
00:22:30,320 --> 00:22:34,320
Speaker 1: So we're treating ourselves. Well, they're everybody loved. But this

392
00:22:34,440 --> 00:22:40,440
Speaker 1: was a year for CBD C by ABC CBD. Uh.

393
00:22:40,560 --> 00:22:43,320
Speaker 1: The gummy thing is cool. I like that. There's just

394
00:22:43,359 --> 00:22:45,000
Speaker 1: a lot of vigano. I always felt a little weird

395
00:22:45,000 --> 00:22:48,080
Speaker 1: about eating gelatine. I'm not vegan, but like gelatine is

396
00:22:48,119 --> 00:22:51,600
Speaker 1: a little rather it's a bone goo I rather not um.

397
00:22:51,640 --> 00:22:53,840
Speaker 1: And now there's vegan gummies everywhere, which I think is great.

398
00:22:53,880 --> 00:22:57,080
Speaker 1: Oh yeah, we've made a lot of advances and vegan

399
00:22:57,160 --> 00:22:59,879
Speaker 1: sciences and vegan edibles. Pop who want to get the

400
00:23:00,040 --> 00:23:02,960
Speaker 1: that CBD wave And then other ones Neco wafers. I'm

401
00:23:02,960 --> 00:23:05,080
Speaker 1: surprised because we talked about how that ship should have

402
00:23:05,080 --> 00:23:07,680
Speaker 1: just been thrown on the fucking trash heap. So bad,

403
00:23:07,800 --> 00:23:10,439
Speaker 1: that's what That's what I'm talking about. And then Goacher

404
00:23:10,520 --> 00:23:15,600
Speaker 1: Jang is pretty good but underrated. Neco waivers, underrated, Nila wafers.

405
00:23:17,160 --> 00:23:20,040
Speaker 1: Ni wafers are like currency in my preschool I remember

406
00:23:20,040 --> 00:23:24,000
Speaker 1: as the kid banana. Yeah, but the thing would go.

407
00:23:24,440 --> 00:23:27,000
Speaker 1: I wonder if that had to do. It's the Korean

408
00:23:27,440 --> 00:23:30,800
Speaker 1: spice paste, like a foundation for all, like Korean spicy

409
00:23:31,080 --> 00:23:35,119
Speaker 1: pepper paste. Yeah, and that was mentioned in that woman's

410
00:23:35,280 --> 00:23:38,840
Speaker 1: really tired obituary about her potato salad or whatever the

411
00:23:38,880 --> 00:23:42,119
Speaker 1: fun remember the woman she was like, millennials are ruining mayonnaise.

412
00:23:42,160 --> 00:23:44,880
Speaker 1: That's what it was the like, and now people want

413
00:23:44,880 --> 00:23:47,399
Speaker 1: goacher jang or whatever. But I think this was just

414
00:23:47,440 --> 00:23:53,960
Speaker 1: a hot year for Korean fusion. Hold year. Yeah, mayonnaise

415
00:23:54,400 --> 00:23:59,400
Speaker 1: is number five hundred and seventies ships. Oh boy, unicorn

416
00:23:59,440 --> 00:24:03,560
Speaker 1: cake was the number one searched thing. Which that's instagram baby. Yeah,

417
00:24:04,600 --> 00:24:07,160
Speaker 1: it's just because that's like it's cake with a horn

418
00:24:07,160 --> 00:24:09,600
Speaker 1: on it. Oh no, it's rainbow cake, right. But it's

419
00:24:09,600 --> 00:24:11,760
Speaker 1: like but it was all about the visual of it

420
00:24:11,840 --> 00:24:13,840
Speaker 1: rather than like this was a thing to eat. Everyone

421
00:24:13,920 --> 00:24:16,320
Speaker 1: is obsessed with, like you can make this little cake

422
00:24:16,359 --> 00:24:20,680
Speaker 1: look like unicorniform. Yeah. People want to eat things that

423
00:24:20,840 --> 00:24:24,160
Speaker 1: look good and don't taste good. I find Yeah, all

424
00:24:24,160 --> 00:24:26,239
Speaker 1: those all those like pastry instagrams. I'm like, you know,

425
00:24:26,280 --> 00:24:28,160
Speaker 1: this doesn't taste it's kind of dry. Because you've got

426
00:24:28,160 --> 00:24:29,840
Speaker 1: to make a real you have to make a thick cake,

427
00:24:30,000 --> 00:24:31,800
Speaker 1: has to be very rigid, has to be very rigid.

428
00:24:31,800 --> 00:24:34,200
Speaker 1: I'm not a fond fan either. Nope, nope, nope, nope,

429
00:24:34,240 --> 00:24:38,520
Speaker 1: nope eating. Yeah, okay, so I see the inside of

430
00:24:38,600 --> 00:24:43,200
Speaker 1: the unicorn cake looks like a unicorn frap from Starbucks.

431
00:24:43,400 --> 00:24:49,119
Speaker 1: Oh god, sure, it looks like cash six. It's like blue,

432
00:24:49,200 --> 00:24:52,639
Speaker 1: it's like coin candy cous blue and pink white. Yeah.

433
00:24:52,960 --> 00:24:57,000
Speaker 1: So it was thing basically, super producer on a Hosnie

434
00:24:57,359 --> 00:24:59,480
Speaker 1: the way to break the Internet come up with a

435
00:24:59,600 --> 00:25:04,680
Speaker 1: keto unicorn cake. Oh shit, there we go. We're on

436
00:25:04,720 --> 00:25:09,360
Speaker 1: the same page. And you can imagine you just need

437
00:25:09,440 --> 00:25:12,320
Speaker 1: to get like you could make frosting from like Swerve

438
00:25:12,400 --> 00:25:16,560
Speaker 1: confection or Sugar Holy with food coloring, and then you

439
00:25:16,600 --> 00:25:18,720
Speaker 1: can make the cake out of either almond flour or

440
00:25:18,800 --> 00:25:21,000
Speaker 1: coconut flour, use the same recipe as a cake, but

441
00:25:21,040 --> 00:25:26,840
Speaker 1: you just replace those certain items with the replaceable with nuts. Guys.

442
00:25:26,880 --> 00:25:28,879
Speaker 1: Her eyes are closed as she says this, and she

443
00:25:29,000 --> 00:25:35,240
Speaker 1: was just running her fingers. And that's actually once you

444
00:25:35,440 --> 00:25:38,080
Speaker 1: do and start making enough Keto things, you immediately can

445
00:25:38,200 --> 00:25:40,480
Speaker 1: see how to make the key of every It's like

446
00:25:40,600 --> 00:25:42,680
Speaker 1: the gift of the woman seeing the math in the

447
00:25:42,760 --> 00:25:47,600
Speaker 1: air just like ketoing. She's going into a Keto fugue.

448
00:25:49,600 --> 00:25:52,680
Speaker 1: And I wanted to take a quick moment to look

449
00:25:52,760 --> 00:25:59,919
Speaker 1: at the Democratic field because specifically the Bedo verse Bernie

450
00:26:00,280 --> 00:26:04,760
Speaker 1: debate that is now sort of bubbling to the surface. Uh,

451
00:26:04,880 --> 00:26:10,080
Speaker 1: some of the people on the Biden it's Bidal betto Burnie.

452
00:26:10,320 --> 00:26:13,000
Speaker 1: I think people just have a Biden is like a

453
00:26:13,160 --> 00:26:18,000
Speaker 1: fixed like a known quantity, and then like mayonnaise, right,

454
00:26:18,440 --> 00:26:25,040
Speaker 1: and then Betto is and then he is miracle whip right. Well,

455
00:26:25,240 --> 00:26:29,160
Speaker 1: so you know, I heard somebody talking about how Bernie

456
00:26:29,520 --> 00:26:34,320
Speaker 1: gets like harshly criticized for you know, not having very

457
00:26:34,440 --> 00:26:38,879
Speaker 1: woke politics on race, and I started doing research into that,

458
00:26:39,320 --> 00:26:43,520
Speaker 1: and it seems like people don't really know where to

459
00:26:43,600 --> 00:26:47,600
Speaker 1: come down on Bernie and how he feels about race. Well,

460
00:26:47,600 --> 00:26:50,640
Speaker 1: he's had gaffs, right Like so during on Super Tuesday

461
00:26:50,680 --> 00:26:53,280
Speaker 1: when he got blown out by Hillary, like, it was

462
00:26:53,359 --> 00:26:55,240
Speaker 1: almost like there was no effort to reach out to

463
00:26:55,400 --> 00:26:57,200
Speaker 1: black women who are if you're going to be a

464
00:26:57,280 --> 00:27:00,480
Speaker 1: Democratic candidate, you need that, And there was very effort

465
00:27:00,520 --> 00:27:03,520
Speaker 1: to court that voting luck and he said said things

466
00:27:03,680 --> 00:27:05,960
Speaker 1: here and there, But you know, as criminal justice things

467
00:27:06,040 --> 00:27:08,000
Speaker 1: do address those kinds of things. He's just not a

468
00:27:08,119 --> 00:27:11,000
Speaker 1: very vocally like. I think the issue is he doesn't

469
00:27:11,000 --> 00:27:14,400
Speaker 1: say enough out vocally that people go, oh, I see

470
00:27:14,480 --> 00:27:16,760
Speaker 1: him vibing with people of color. Now, in the last year,

471
00:27:16,800 --> 00:27:19,119
Speaker 1: he's done a lot too, I think change that. But

472
00:27:19,200 --> 00:27:21,440
Speaker 1: I think a lot of the criticism comes from I

473
00:27:21,520 --> 00:27:23,520
Speaker 1: think sort of the lack of interest and from Hillary

474
00:27:23,600 --> 00:27:28,119
Speaker 1: to from just trying to better understand the black vote.

475
00:27:28,400 --> 00:27:31,640
Speaker 1: Kind of the two the two ends of the spectrum

476
00:27:31,800 --> 00:27:35,399
Speaker 1: on you know, white Democrats trying to appeal to voters

477
00:27:35,440 --> 00:27:37,560
Speaker 1: of color. Is on the one hand, you know, he's

478
00:27:37,560 --> 00:27:39,760
Speaker 1: got Bernie who just doesn't really talk about it, but

479
00:27:39,920 --> 00:27:44,879
Speaker 1: he talks about policies that affect class, which is very influenced,

480
00:27:45,040 --> 00:27:47,959
Speaker 1: like race and class are are deeply intertwined. And then

481
00:27:48,000 --> 00:27:49,439
Speaker 1: on the other end end of the spectrum, you've got

482
00:27:49,520 --> 00:27:53,280
Speaker 1: Hillard Clinton telling you that she's Robella. You know, which

483
00:27:53,920 --> 00:27:57,320
Speaker 1: does that help? I have hot sauce in my bag swag,

484
00:27:59,359 --> 00:28:05,240
Speaker 1: so I think about hot sauce in what kind Texas pizza?

485
00:28:05,400 --> 00:28:08,760
Speaker 1: Come on, get that ship out. It's not crystal. I

486
00:28:08,880 --> 00:28:12,600
Speaker 1: had slaves in Arkansas? Yeah, did you? Yeah? I mean

487
00:28:12,960 --> 00:28:17,080
Speaker 1: so Sanders in two thousand sixteen said something about like

488
00:28:17,200 --> 00:28:21,280
Speaker 1: how we need to move beyond identity politics to focus

489
00:28:21,359 --> 00:28:26,680
Speaker 1: on class, which I get very very nervous. Yeah, exactly.

490
00:28:27,320 --> 00:28:29,200
Speaker 1: It's a big it's a big debate right now. Yeah,

491
00:28:29,600 --> 00:28:33,159
Speaker 1: because people are talking about identity politics like it's meaningless,

492
00:28:33,520 --> 00:28:35,240
Speaker 1: which I think is upsetting. But at the same time,

493
00:28:35,240 --> 00:28:38,200
Speaker 1: identity politics are not the whole sum of all politics.

494
00:28:38,400 --> 00:28:43,040
Speaker 1: I feel like it's used by certain white like liberals

495
00:28:43,280 --> 00:28:48,240
Speaker 1: to suggest that, like it's basically their discomfort with focusing

496
00:28:48,400 --> 00:28:52,720
Speaker 1: on racial issues. Do you have to talk about being

497
00:28:52,760 --> 00:28:57,360
Speaker 1: black all the time? But meanwhile, like the entire platform

498
00:28:57,640 --> 00:29:01,440
Speaker 1: is identity politics, like yeah, and just in the reverse,

499
00:29:01,640 --> 00:29:06,160
Speaker 1: it's identifying yourself as white and identifying people of color

500
00:29:06,480 --> 00:29:11,760
Speaker 1: and the LGBTQ community as other. And yeah, that is

501
00:29:11,840 --> 00:29:15,520
Speaker 1: identity politics, but it doesn't get identified as such. Right.

502
00:29:15,560 --> 00:29:19,040
Speaker 1: Identity politics as terms are for people with marginalized identities

503
00:29:19,120 --> 00:29:23,640
Speaker 1: who won't shut up about it, right, exactly, better definition, right. Yeah.

504
00:29:23,720 --> 00:29:25,680
Speaker 1: So when you looked at I think what that move

505
00:29:25,760 --> 00:29:27,680
Speaker 1: On poll, that Straw poll is the thing that got

506
00:29:27,680 --> 00:29:30,360
Speaker 1: everybody talking about sort of like, oh, let's according to

507
00:29:30,440 --> 00:29:33,600
Speaker 1: these people, it's just about people who support for members

508
00:29:33,760 --> 00:29:36,760
Speaker 1: if they ended up becoming, you know, political candidates. Polling,

509
00:29:36,880 --> 00:29:41,320
Speaker 1: the best of the Democrat percent was someone else don't know,

510
00:29:41,440 --> 00:29:46,200
Speaker 1: slash other percent better fourteen point nine, Biden thirteen point one,

511
00:29:46,640 --> 00:29:50,400
Speaker 1: Bernie ten percent, Camlall Harris six point four percent, Elizabeth

512
00:29:50,400 --> 00:29:52,760
Speaker 1: Warren and then on and on on and Corey Booker

513
00:29:52,760 --> 00:29:56,040
Speaker 1: at the very bottom at two point six. Yeah. I mean,

514
00:29:56,760 --> 00:30:00,200
Speaker 1: good and good luck to Corey. Uh So, I'm very

515
00:30:00,240 --> 00:30:02,280
Speaker 1: curious to know what's going on because we know Betto

516
00:30:02,360 --> 00:30:05,440
Speaker 1: has been talking to Obama, He's been talking to Al Sharpton,

517
00:30:06,200 --> 00:30:08,760
Speaker 1: uh and Andrew Gillim. The Andrew Gillim thing is very

518
00:30:08,800 --> 00:30:11,760
Speaker 1: interesting to me that they're talking, what they're talking about,

519
00:30:11,840 --> 00:30:13,840
Speaker 1: what he is trying to do. If he's trying to

520
00:30:13,880 --> 00:30:17,360
Speaker 1: position himself to be more aggressively courting people of color

521
00:30:17,640 --> 00:30:20,880
Speaker 1: as part of his voting block or whatever potential cabinet,

522
00:30:21,600 --> 00:30:23,240
Speaker 1: I mean, yeah, that would be that would be interesting.

523
00:30:23,560 --> 00:30:25,480
Speaker 1: But yeah, I don't know. It's uh well, we we

524
00:30:25,840 --> 00:30:29,880
Speaker 1: will see. I just know that Joe Biden, come on now,

525
00:30:31,840 --> 00:30:35,160
Speaker 1: unless he just has a radical change where he's like

526
00:30:35,480 --> 00:30:40,160
Speaker 1: completely progressive and like updates his politics to got the

527
00:30:40,280 --> 00:30:42,920
Speaker 1: rose emoji in his display name, right, which I I

528
00:30:43,040 --> 00:30:45,640
Speaker 1: just don't see happening, Like I think he is the

529
00:30:46,320 --> 00:30:49,920
Speaker 1: Joe Biden needs a pepper in his displine, too spicy.

530
00:30:51,480 --> 00:30:53,240
Speaker 1: He's the choice for people who are like, we just

531
00:30:53,320 --> 00:30:57,040
Speaker 1: need to do Obama again, the exact same thing. Remember Obama,

532
00:30:57,240 --> 00:30:59,800
Speaker 1: that was great, right, let's do it again, but without

533
00:31:00,160 --> 00:31:03,680
Speaker 1: the identity politics, right, yeah, yeah, exactly. It's a very

534
00:31:04,440 --> 00:31:07,200
Speaker 1: you know old. Oh god, the thought of Joe Biden

535
00:31:07,280 --> 00:31:11,680
Speaker 1: running is just making me feel heavy, heavy and board, yeah,

536
00:31:11,720 --> 00:31:14,480
Speaker 1: and also worried because I feel like enough people don't

537
00:31:14,520 --> 00:31:18,000
Speaker 1: who don't know, who aren't engaged enough politically, will be like,

538
00:31:18,160 --> 00:31:20,320
Speaker 1: I don't see what the problem is with Joe. Remember

539
00:31:20,360 --> 00:31:22,240
Speaker 1: when when Parks and rec had Joe Biden on a

540
00:31:22,280 --> 00:31:24,240
Speaker 1: bunch of episodes, and like, the whole thing with Amy

541
00:31:24,280 --> 00:31:27,280
Speaker 1: Poehler's character was that she was like way into Joe Biden.

542
00:31:27,680 --> 00:31:29,960
Speaker 1: Even then, I was like, this isn't working for me, Like,

543
00:31:30,080 --> 00:31:33,000
Speaker 1: he does not have a lot of charm as a

544
00:31:33,200 --> 00:31:36,240
Speaker 1: as a states I don't know the way he's intoxicating

545
00:31:36,240 --> 00:31:38,800
Speaker 1: to white women, middle a white women. Remember that photo

546
00:31:38,920 --> 00:31:41,840
Speaker 1: of him with the He's got the biker's girlfriend on

547
00:31:42,000 --> 00:31:44,560
Speaker 1: his lap and he's like whispering in her ear, and

548
00:31:44,680 --> 00:31:47,240
Speaker 1: the two biker dudes are like this motherfucker, and she's

549
00:31:47,280 --> 00:31:53,800
Speaker 1: like slick, motherfuck. Yeah, and I'm like, Joe Biden white women. Yeah,

550
00:31:54,280 --> 00:31:56,080
Speaker 1: but I just don't see I don't see the appeal.

551
00:31:56,360 --> 00:31:58,960
Speaker 1: I probably couldn't pick him out of a lineup. They

552
00:31:59,000 --> 00:32:00,120
Speaker 1: had him on the show, and I was like, I

553
00:32:00,160 --> 00:32:02,080
Speaker 1: wonder if this is the real Joe Biden. His smile

554
00:32:02,120 --> 00:32:05,200
Speaker 1: will blind you. Them ships are two, the teeth are

555
00:32:05,240 --> 00:32:09,040
Speaker 1: so white, so white, so large. Yeah, he is central

556
00:32:09,080 --> 00:32:13,240
Speaker 1: casting president like from a nineties movie, Like, yeah, just

557
00:32:13,400 --> 00:32:16,320
Speaker 1: what a president looks like in a nineties movie. He's

558
00:32:16,360 --> 00:32:19,560
Speaker 1: not even an action movie president, yeah, yeah, exactly, He's

559
00:32:19,600 --> 00:32:23,160
Speaker 1: like a movie about journalism president. Yeah, and that president

560
00:32:23,240 --> 00:32:25,760
Speaker 1: always ends up being the bad guy, like even though

561
00:32:26,240 --> 00:32:29,080
Speaker 1: comes up the whole time. Yeah, I think like President

562
00:32:29,160 --> 00:32:34,040
Speaker 1: from the RoboCop universe, maybe, yeah, but aspires confidence in

563
00:32:34,080 --> 00:32:36,360
Speaker 1: the populace, but then he's secretly building a robot cop.

564
00:32:36,560 --> 00:32:40,680
Speaker 1: Yeah exactly. I feel like there's sort of frustration from

565
00:32:40,800 --> 00:32:43,440
Speaker 1: all sides, like people on the far left and like

566
00:32:43,520 --> 00:32:48,240
Speaker 1: democratic socialists are concerned that Bernie is being criticized for

567
00:32:48,920 --> 00:32:52,240
Speaker 1: his racial views. And then people who are like more

568
00:32:52,880 --> 00:32:56,560
Speaker 1: center left are concerned that people on the far left

569
00:32:56,600 --> 00:33:00,040
Speaker 1: are criticizing Bett. Oh, and I think we need to

570
00:33:00,200 --> 00:33:03,000
Speaker 1: just be okay with everybody being criticized until we have

571
00:33:03,120 --> 00:33:09,920
Speaker 1: a candidates. Why do people wanna perfect? I mean, I

572
00:33:09,960 --> 00:33:12,560
Speaker 1: guess why do people want a perfect candidate? The question?

573
00:33:12,680 --> 00:33:16,880
Speaker 1: But why why do people keep expecting a perfect candidate

574
00:33:18,000 --> 00:33:20,600
Speaker 1: in this system we have? Yeah, you're not coming out

575
00:33:20,640 --> 00:33:24,440
Speaker 1: of here fucking unscathed. It's a really interesting time, I

576
00:33:24,520 --> 00:33:27,080
Speaker 1: think now and people are starting to talk about class

577
00:33:27,280 --> 00:33:29,360
Speaker 1: now and and a big part of that is Bernie.

578
00:33:29,440 --> 00:33:32,880
Speaker 1: Bernie was like really mainstreamed talking about the working class

579
00:33:32,880 --> 00:33:35,920
Speaker 1: again in a way that the Democrats really haven't for

580
00:33:36,000 --> 00:33:38,160
Speaker 1: a long time, and they certainly haven't explicitly for a

581
00:33:38,240 --> 00:33:41,600
Speaker 1: long time talked about raising up the working class, even

582
00:33:41,680 --> 00:33:45,120
Speaker 1: using using the terms working class families. But where does

583
00:33:45,160 --> 00:33:47,520
Speaker 1: the Democrats money come from? It doesn't come from working

584
00:33:47,520 --> 00:33:50,000
Speaker 1: class families. Maybe it did fifty years ago, but it

585
00:33:50,040 --> 00:33:53,920
Speaker 1: doesn't anymore because their policies have not really helped working

586
00:33:53,960 --> 00:33:56,600
Speaker 1: class people. I mean, everybody knows that the rich have

587
00:33:56,600 --> 00:33:58,080
Speaker 1: gotten richer and the poor have gotten poorer. In the

588
00:33:58,160 --> 00:34:00,960
Speaker 1: class gap has just wide and wide and widened. So

589
00:34:01,080 --> 00:34:03,520
Speaker 1: anything that either party has been trying to do to

590
00:34:03,560 --> 00:34:06,200
Speaker 1: help the working class is obviously not fucking working. So

591
00:34:07,160 --> 00:34:09,920
Speaker 1: but now we're coming up on this weird sort of

592
00:34:10,040 --> 00:34:13,040
Speaker 1: framing um and and I do believe this is like

593
00:34:13,640 --> 00:34:16,319
Speaker 1: it is being framed as this in order to weaken it. Uh,

594
00:34:16,400 --> 00:34:20,280
Speaker 1: this idea that class uh, class politics and a class

595
00:34:20,320 --> 00:34:24,200
Speaker 1: based analysis of politics and economy are at odds with

596
00:34:24,440 --> 00:34:27,279
Speaker 1: a race based analysis or with a gender based analysis,

597
00:34:27,440 --> 00:34:30,640
Speaker 1: the identity politics analysis, when in fact it's just another

598
00:34:30,760 --> 00:34:35,160
Speaker 1: factor and it's it's all intersectional. Yeah, absolutely, it's not

599
00:34:35,320 --> 00:34:37,759
Speaker 1: an either or thing, but they're being pitted against each other.

600
00:34:37,840 --> 00:34:39,960
Speaker 1: And this is something that honestly Republicans have been doing

601
00:34:40,520 --> 00:34:43,920
Speaker 1: since the thirties to you know, destroy any kind of

602
00:34:44,040 --> 00:34:47,120
Speaker 1: unionization of marginalized groups in the working class. And it's

603
00:34:47,160 --> 00:34:49,600
Speaker 1: just kind of the same thing over again. But it's

604
00:34:49,640 --> 00:34:52,560
Speaker 1: it's very weird to see, Well, the smoke bombing isn't

605
00:34:52,719 --> 00:34:54,600
Speaker 1: is slowly starting to not work as much as they

606
00:34:54,719 --> 00:34:56,759
Speaker 1: used to, like where they would obscure be like okay,

607
00:34:56,880 --> 00:35:01,239
Speaker 1: now y'all fight, yeah, man, we we both fucking poor. Yeah,

608
00:35:01,239 --> 00:35:03,640
Speaker 1: And it's been like so many years of them doing

609
00:35:03,680 --> 00:35:05,120
Speaker 1: this and we're like, wait a second, that didn't work,

610
00:35:05,160 --> 00:35:06,800
Speaker 1: and that didn't work, and that didn't work, and like

611
00:35:07,080 --> 00:35:09,560
Speaker 1: the only thing that worked was really radical ship that

612
00:35:09,640 --> 00:35:12,719
Speaker 1: then people got murdered by the FBI for when it

613
00:35:12,800 --> 00:35:14,839
Speaker 1: got too far. You know, they were like, okay, we'll

614
00:35:14,880 --> 00:35:18,959
Speaker 1: give we'll civil rights. Okay, fine, Ship the people died, Fine,

615
00:35:19,120 --> 00:35:22,520
Speaker 1: you can vote now, white people, yeah, no, no, no, no, no,

616
00:35:23,200 --> 00:35:25,560
Speaker 1: time to kill Dr Martin Luther King Jr. Like, that's

617
00:35:25,600 --> 00:35:28,800
Speaker 1: the line, is poor people teaming up. And that was

618
00:35:28,920 --> 00:35:32,360
Speaker 1: the thing that you know, made him very unpopular in

619
00:35:32,440 --> 00:35:35,120
Speaker 1: the lead up to his death with white America was

620
00:35:35,200 --> 00:35:38,000
Speaker 1: the idea of him that's that's too far, you know,

621
00:35:38,160 --> 00:35:41,600
Speaker 1: that's that's crossing the line. Yeah. And I think the media,

622
00:35:41,640 --> 00:35:46,439
Speaker 1: which black people, okay, poor people no, no, no, no, no, no. Yeah.

623
00:35:46,760 --> 00:35:49,480
Speaker 1: And I think the media is somewhat complicit in this.

624
00:35:49,640 --> 00:35:51,880
Speaker 1: I think, like we we've talked before about how the

625
00:35:52,040 --> 00:35:58,600
Speaker 1: Dean scream was somewhat yeah, that that was man that

626
00:35:58,800 --> 00:36:02,360
Speaker 1: was favorite sort of fabricated by the media to be

627
00:36:02,880 --> 00:36:05,080
Speaker 1: like he did scream like that, but it was because

628
00:36:05,160 --> 00:36:07,480
Speaker 1: he had no It sounded crazy because he had a

629
00:36:07,600 --> 00:36:10,920
Speaker 1: noise canceling microphone and so it sounded crazy because it

630
00:36:11,000 --> 00:36:13,560
Speaker 1: was crazy. Who cares, you know what I mean, that's

631
00:36:13,600 --> 00:36:16,040
Speaker 1: the thing they but they made it a point. I

632
00:36:16,080 --> 00:36:18,239
Speaker 1: don't think we even have to, you know, explain why

633
00:36:18,320 --> 00:36:22,120
Speaker 1: he did it. Nobody. Yeah, all of these things are

634
00:36:22,239 --> 00:36:26,600
Speaker 1: like really inflated. Yes, And I do think that the

635
00:36:27,480 --> 00:36:32,760
Speaker 1: center media, the mainstream media takes takes it upon themselves

636
00:36:32,880 --> 00:36:38,439
Speaker 1: to protect capitalism, capitalism with this idea of electability, like well,

637
00:36:38,719 --> 00:36:41,360
Speaker 1: Bernie Sanders just isn't electable. Yeah, like people are too

638
00:36:41,400 --> 00:36:44,880
Speaker 1: stupid to vote in their own interests. I wonder, I

639
00:36:44,960 --> 00:36:49,759
Speaker 1: wonder when the left left media will turn on Alexandriacazio Cortez. Though.

640
00:36:50,719 --> 00:36:53,920
Speaker 1: What's the left media? I mean like the MSNBC's of

641
00:36:54,000 --> 00:36:57,000
Speaker 1: the world where they're sort of like you know, but

642
00:36:57,080 --> 00:36:59,879
Speaker 1: not not like in the way where they're full on trying.

643
00:37:00,080 --> 00:37:02,200
Speaker 1: I mean they buy into like the really stupid, vapid

644
00:37:02,280 --> 00:37:04,720
Speaker 1: headlines of like oh she messed up this thing or whatever.

645
00:37:04,960 --> 00:37:06,840
Speaker 1: But you know, like on Fox, they're in full on

646
00:37:06,960 --> 00:37:09,359
Speaker 1: like terror mon I'm talking about when they like they

647
00:37:09,440 --> 00:37:11,400
Speaker 1: tear her the funk down, Like now they're just started

648
00:37:11,440 --> 00:37:14,359
Speaker 1: being like, well she seems like a spirited young they're

649
00:37:14,400 --> 00:37:16,440
Speaker 1: more dismissive right now. I think it's gonna be when

650
00:37:16,480 --> 00:37:19,600
Speaker 1: she starts implementing policy, really and also if she speaks

651
00:37:19,640 --> 00:37:23,359
Speaker 1: it more about about Palestine. I think that's really gonna

652
00:37:23,400 --> 00:37:25,400
Speaker 1: be because that's been what she's been torn down for

653
00:37:25,480 --> 00:37:28,280
Speaker 1: the most on you know, mainstream media. That's Hugh's liberal

654
00:37:28,719 --> 00:37:31,040
Speaker 1: um is, you know, being being called anti Semitic for

655
00:37:31,280 --> 00:37:34,160
Speaker 1: for opposing Israel, right right. I think the one good

656
00:37:34,239 --> 00:37:37,719
Speaker 1: thing with her that will make it difficult for them

657
00:37:37,800 --> 00:37:41,520
Speaker 1: to tear down is she's got a Trump like unflappable

658
00:37:41,640 --> 00:37:43,959
Speaker 1: nous on Twitter, Like she's just like, you're not fucking

659
00:37:44,000 --> 00:37:45,960
Speaker 1: knocking me off my message. She's like, I'm a twenty

660
00:37:46,040 --> 00:37:50,279
Speaker 1: nine year old Twitter literate millennial getting my mention to

661
00:37:50,320 --> 00:37:52,200
Speaker 1: see what happened around and find you want to quote

662
00:37:52,239 --> 00:37:55,799
Speaker 1: tweet me poorly, I'm going to do it. Yes, I'm

663
00:37:55,920 --> 00:38:01,360
Speaker 1: trying to thread this ship. The fallout from yesterday's immediately

664
00:38:01,480 --> 00:38:06,160
Speaker 1: famous Oval Office meeting between Trump, Nancy Pelosi, and Chuck

665
00:38:06,200 --> 00:38:11,120
Speaker 1: Schumer continues, and apparently the President, you know, he went

666
00:38:11,200 --> 00:38:13,840
Speaker 1: in thinking he was going to ambush them, and he

667
00:38:14,080 --> 00:38:17,800
Speaker 1: came out apparently just throwing his papers to the floor

668
00:38:18,080 --> 00:38:23,279
Speaker 1: and complaining that he got ambushed. Um, it's my favorite ship.

669
00:38:23,640 --> 00:38:26,239
Speaker 1: But because he was, he was like bragging out I

670
00:38:26,280 --> 00:38:27,840
Speaker 1: got the votes, and Nancy like, we'll pull up with

671
00:38:27,920 --> 00:38:31,480
Speaker 1: the votes. Then you don't got shit. Well awoke, that's

672
00:38:31,520 --> 00:38:34,000
Speaker 1: what I ship back down? You pee sitting down now.

673
00:38:35,239 --> 00:38:40,520
Speaker 1: So basically what happened exactly. Yeah, So one thing was

674
00:38:40,560 --> 00:38:45,120
Speaker 1: like he threw his ship, then he thank you exactly

675
00:38:45,880 --> 00:38:48,719
Speaker 1: spit on your face. Then he basically went on to

676
00:38:49,120 --> 00:38:52,000
Speaker 1: complain about how that was such an embarrassment. He was

677
00:38:52,160 --> 00:38:54,920
Speaker 1: really piste off that Chuck Schumer wasn't even looking at

678
00:38:55,000 --> 00:38:56,920
Speaker 1: him while he was just making jokes to the press,

679
00:38:56,920 --> 00:38:59,000
Speaker 1: because Schumer was just sort of like going, what about

680
00:38:59,040 --> 00:39:02,560
Speaker 1: this asshole that really got to fucking Trump to the

681
00:39:02,600 --> 00:39:04,919
Speaker 1: point that even like once the press left, like okay,

682
00:39:05,000 --> 00:39:07,120
Speaker 1: let's have our meeting, Like he couldn't he couldn't recover,

683
00:39:07,239 --> 00:39:11,280
Speaker 1: and he was like, yeah, I know what I'm being Yeah, no, seriously,

684
00:39:11,680 --> 00:39:14,040
Speaker 1: and uh. One of the funniest things is like he

685
00:39:14,239 --> 00:39:17,600
Speaker 1: got really mad at Mike Pence. He felt that Mike

686
00:39:17,640 --> 00:39:20,000
Speaker 1: Pence when he powered down in front of everybody like that,

687
00:39:21,080 --> 00:39:24,680
Speaker 1: he was like, you burned me, Pence. I think he's right, though,

688
00:39:24,760 --> 00:39:28,400
Speaker 1: I think this is in keeping with my theory that

689
00:39:28,800 --> 00:39:32,040
Speaker 1: something happened with the revelations, either that we know about

690
00:39:32,280 --> 00:39:35,000
Speaker 1: or stuff we don't quite know yet because of all

691
00:39:35,000 --> 00:39:37,720
Speaker 1: the redactions, but with the Muller investigation in the Southern

692
00:39:37,800 --> 00:39:42,000
Speaker 1: District of New York investigation, like last week's revelations, that

693
00:39:42,160 --> 00:39:46,919
Speaker 1: the Pence camp seems to have cooled. Um and Yeah,

694
00:39:47,000 --> 00:39:51,359
Speaker 1: Mike Pence definitely like the memes around what was going

695
00:39:51,440 --> 00:39:54,080
Speaker 1: through his mind. We're we're a lot of fun, but

696
00:39:54,320 --> 00:39:57,560
Speaker 1: also kind of unavoidable. When you look at his performance,

697
00:39:57,640 --> 00:40:00,680
Speaker 1: he just either choked or was like I don't want anything.

698
00:40:00,880 --> 00:40:04,480
Speaker 1: He almost looked like a spouse of like an alcoholic

699
00:40:04,640 --> 00:40:06,640
Speaker 1: who's like at dinner and the spouse is drunk and

700
00:40:06,680 --> 00:40:09,640
Speaker 1: they're just like, thing, what do you mean I can't

701
00:40:09,640 --> 00:40:13,800
Speaker 1: take left over some as buffet? I paid for it.

702
00:40:13,880 --> 00:40:16,800
Speaker 1: I'm gonna take you home. Where's my food? We already ate?

703
00:40:17,200 --> 00:40:19,400
Speaker 1: And then he where is it? He was literally closing

704
00:40:19,440 --> 00:40:21,759
Speaker 1: his eyes like fucking Luke Skywalker in the last Star

705
00:40:21,800 --> 00:40:25,040
Speaker 1: Wars movie, trying to like actually project himself into another place,

706
00:40:25,120 --> 00:40:27,200
Speaker 1: like please give me the funk out of here, just

707
00:40:27,360 --> 00:40:32,799
Speaker 1: visualizing Hawaii somewhere else. Yeah, and then he said they

708
00:40:32,920 --> 00:40:34,759
Speaker 1: set me up. But the funny thing is in the

709
00:40:34,880 --> 00:40:38,160
Speaker 1: Daily Beasts they report how Trump initially this was supposed

710
00:40:38,160 --> 00:40:40,560
Speaker 1: to be a no cameras behind closed door thing and

711
00:40:40,640 --> 00:40:42,239
Speaker 1: at the zero hour was like, you know what, let's

712
00:40:42,239 --> 00:40:44,319
Speaker 1: bring the press in because I think I'm gonna press

713
00:40:44,400 --> 00:40:46,040
Speaker 1: him about the wall and see how they handle it,

714
00:40:46,320 --> 00:40:49,719
Speaker 1: and then got his big wind coming up, just flipped

715
00:40:50,320 --> 00:40:54,480
Speaker 1: like you fucking idiot, you you poor poor idiots. You

716
00:40:54,520 --> 00:40:56,640
Speaker 1: can't say no to those cameras. He lives for that,

717
00:40:56,800 --> 00:40:59,160
Speaker 1: and then just gets looks like a total ass, like

718
00:40:59,239 --> 00:41:01,840
Speaker 1: he's supposed to be Mr. Reality TV and he just

719
00:41:02,160 --> 00:41:05,239
Speaker 1: showed his ass so bad and somehow then did the

720
00:41:05,360 --> 00:41:08,000
Speaker 1: worst thing you can do is be like, yeah, I'll

721
00:41:08,040 --> 00:41:11,279
Speaker 1: own the shut down. Yeah. At the same time, so

722
00:41:11,760 --> 00:41:14,480
Speaker 1: I did read an analysis of this on The Daily Beast,

723
00:41:14,560 --> 00:41:18,440
Speaker 1: which obviously is not a conservative place, where they somebody

724
00:41:18,560 --> 00:41:21,120
Speaker 1: was saying that they thought Trump actually won that in

725
00:41:21,360 --> 00:41:25,320
Speaker 1: his like weird version of reality, not just like he

726
00:41:25,440 --> 00:41:27,719
Speaker 1: believes he wanted, but the people who he appeals to

727
00:41:27,880 --> 00:41:31,680
Speaker 1: would think he wanted. And the idea is that while

728
00:41:31,840 --> 00:41:34,959
Speaker 1: Nancy and Chuck we're trying to they were like, let's

729
00:41:35,120 --> 00:41:38,400
Speaker 1: talk behind closed doors because political decorum. He was like, no,

730
00:41:38,520 --> 00:41:41,360
Speaker 1: let's do it right here, and that does seem like,

731
00:41:42,239 --> 00:41:45,840
Speaker 1: I don't know, political decorum is popular with the mainstream media,

732
00:41:46,040 --> 00:41:48,800
Speaker 1: but for you know, the people who vote for Trump

733
00:41:48,880 --> 00:41:53,320
Speaker 1: and even just regular people, I feel like urging somebody

734
00:41:53,360 --> 00:41:56,480
Speaker 1: to do, like have the conversation behind closed doors as

735
00:41:56,480 --> 00:41:59,680
Speaker 1: an immediate like red flag. Right. Well, I think the

736
00:41:59,800 --> 00:42:02,600
Speaker 1: hit isn't necessarily like I don't think he gains from

737
00:42:02,600 --> 00:42:04,120
Speaker 1: it being out in the open. I think the hit

738
00:42:04,239 --> 00:42:07,279
Speaker 1: he takes is from openly owning a shutdown if it

739
00:42:07,360 --> 00:42:10,239
Speaker 1: happens over the wall, right, And like that's the part

740
00:42:10,320 --> 00:42:11,839
Speaker 1: that isn't a good look because we're used to him

741
00:42:11,960 --> 00:42:15,040
Speaker 1: just having a hissy fit in public. Trump, I think

742
00:42:15,120 --> 00:42:17,719
Speaker 1: like throughout the campaign has always been like, yeah, I'll

743
00:42:17,760 --> 00:42:20,399
Speaker 1: make Mexico pay for the wall. Yeah, I'll do it. Yeah.

744
00:42:20,680 --> 00:42:22,759
Speaker 1: You know, he's always that like, yeah, I'm gonna fucking

745
00:42:22,800 --> 00:42:24,800
Speaker 1: do it. I'm gonna do the thing is unthinkable. And

746
00:42:24,880 --> 00:42:27,279
Speaker 1: now that you know, he got sort of confronted about

747
00:42:27,280 --> 00:42:29,040
Speaker 1: the shutdown, he was like, yeah, fuck it, you know,

748
00:42:29,120 --> 00:42:31,480
Speaker 1: I don't care. And then all his constituency was like,

749
00:42:31,640 --> 00:42:34,840
Speaker 1: we care. Yeah. At the same time, he's fighting for

750
00:42:34,880 --> 00:42:38,320
Speaker 1: a thing his constituents want or think they want in

751
00:42:38,400 --> 00:42:41,400
Speaker 1: the wall, and he's willing to do an unpopular thing

752
00:42:41,480 --> 00:42:43,840
Speaker 1: to get it with the shutdown. Now, I think the

753
00:42:44,160 --> 00:42:46,200
Speaker 1: place that the l is really going to come is

754
00:42:46,320 --> 00:42:49,439
Speaker 1: when the shutdown actually happens. If he really does force

755
00:42:49,520 --> 00:42:53,239
Speaker 1: it and then it's a complete fucking disaster and he

756
00:42:53,320 --> 00:42:56,480
Speaker 1: still doesn't get his wall, then yeah, that's not going

757
00:42:56,520 --> 00:42:58,400
Speaker 1: to be a good look for him. Well, there was

758
00:42:58,480 --> 00:43:00,560
Speaker 1: a thing, I don't know if how real it was,

759
00:43:00,680 --> 00:43:03,279
Speaker 1: but there was some article saying that the wall was

760
00:43:03,360 --> 00:43:07,040
Speaker 1: just merely a mnemonic device for him to talk about immigration.

761
00:43:07,640 --> 00:43:10,480
Speaker 1: For sure, that it wasn't means but okay, but yeah,

762
00:43:10,520 --> 00:43:13,160
Speaker 1: that's what they needed it as like a concept, as

763
00:43:13,160 --> 00:43:16,920
Speaker 1: a nod to help the candidate. Remember metaphoric synic key

764
00:43:16,960 --> 00:43:19,640
Speaker 1: New York. It's yeah, thank you so much. It is

765
00:43:19,680 --> 00:43:23,760
Speaker 1: a synectic. Yes, immigration, Well you just got an English

766
00:43:23,800 --> 00:43:26,800
Speaker 1: major on your show, but oly sh it um so

767
00:43:26,920 --> 00:43:29,080
Speaker 1: then yeah. And then essentially he just took it literally

768
00:43:29,120 --> 00:43:32,320
Speaker 1: and then his melted brain just turned it into the

769
00:43:32,400 --> 00:43:34,719
Speaker 1: thing that it's like, say, the wall so they know immigration.

770
00:43:34,760 --> 00:43:39,360
Speaker 1: He's like, no, it's a literal wall that I want it, okay, whatever.

771
00:43:40,480 --> 00:43:42,120
Speaker 1: But then but the other thing is like you see

772
00:43:42,239 --> 00:43:43,759
Speaker 1: it's like he's like someone's like, you gotta ask for

773
00:43:43,840 --> 00:43:45,919
Speaker 1: her hand in marriage, and he's literally like, I want

774
00:43:45,960 --> 00:43:50,640
Speaker 1: your hand. I have the hand. What I do now, Steve,

775
00:43:50,680 --> 00:43:54,040
Speaker 1: I have the hand? No? No, no, Jesus Jesus. Okay.

776
00:43:54,120 --> 00:43:59,120
Speaker 1: First of all, yeah, well, the Senator Kennedy from Louisiana,

777
00:43:59,200 --> 00:44:01,360
Speaker 1: John Kennedy, he was like he was basically saying, like

778
00:44:01,400 --> 00:44:03,239
Speaker 1: if I were playing poker with the President and he

779
00:44:03,320 --> 00:44:05,200
Speaker 1: was across the table for me and he had demonstrated

780
00:44:05,200 --> 00:44:07,319
Speaker 1: the face that he demonstrated that meeting, and I wasn't

781
00:44:07,320 --> 00:44:10,440
Speaker 1: holding good cards, I'd fold because I don't think he's bluffing.

782
00:44:10,719 --> 00:44:12,640
Speaker 1: I think he's prepared to shut down a really long

783
00:44:12,680 --> 00:44:14,640
Speaker 1: way to say I don't think he's bluffing. Yeah, but

784
00:44:14,760 --> 00:44:16,799
Speaker 1: it's just sort of like you're starting to see also

785
00:44:16,880 --> 00:44:20,919
Speaker 1: the weird sort of the sycophant comments steam in about

786
00:44:20,960 --> 00:44:23,279
Speaker 1: like they're like, yeah, he's digging in or whatever. It's like,

787
00:44:23,760 --> 00:44:26,080
Speaker 1: I don't think it's as clear cut a win as

788
00:44:26,239 --> 00:44:29,520
Speaker 1: the media has portrayed, or at least people who pay

789
00:44:29,560 --> 00:44:31,520
Speaker 1: attention to the media. I don't even I don't think

790
00:44:31,520 --> 00:44:32,960
Speaker 1: it's a Don't get me wrong. I don't think this

791
00:44:33,000 --> 00:44:35,480
Speaker 1: is a policy win in any way. This is merely

792
00:44:35,560 --> 00:44:39,200
Speaker 1: just like a ship talking at lunch break wind. Whole

793
00:44:39,239 --> 00:44:41,279
Speaker 1: campaign was I'm going to build a wall. And now

794
00:44:41,400 --> 00:44:43,480
Speaker 1: he's like, I'm building a wall, and all his constituents

795
00:44:43,480 --> 00:44:45,880
Speaker 1: are like great, and then every everyone voting him is

796
00:44:45,920 --> 00:44:47,320
Speaker 1: like good. And he's like, I'm building a wall. And

797
00:44:47,360 --> 00:44:48,680
Speaker 1: they're like, we're going to shut down the government, and

798
00:44:48,680 --> 00:44:49,879
Speaker 1: he was like, I don't care. I'm building a wall.

799
00:44:50,480 --> 00:44:52,320
Speaker 1: You know. He's like, you're going to shut down the government.

800
00:44:52,400 --> 00:44:55,399
Speaker 1: He's like, I'm going to shut down the just repeat said,

801
00:44:56,560 --> 00:44:59,839
Speaker 1: and taxpayers are going to shut down the government down. Next,

802
00:45:00,000 --> 00:45:01,920
Speaker 1: I was not paying for it, no, but I think

803
00:45:01,920 --> 00:45:04,800
Speaker 1: apparently after the camera's left, he insisted that Mexico was

804
00:45:04,840 --> 00:45:07,000
Speaker 1: still paying for it. To Chuck and Nancy, Yeah, I'm

805
00:45:07,040 --> 00:45:09,360
Speaker 1: excited to see how Mexico's new president is going to

806
00:45:09,480 --> 00:45:13,840
Speaker 1: deal with this, because he's am low baby Manuel Lopez

807
00:45:13,880 --> 00:45:16,480
Speaker 1: Opera door. I don't think, yeah, he's he might just

808
00:45:16,600 --> 00:45:18,719
Speaker 1: be like I don't know, I don't know her. He

809
00:45:18,920 --> 00:45:20,960
Speaker 1: is like I don't know her. He's he's pretty lefty. Yeah,

810
00:45:21,040 --> 00:45:23,839
Speaker 1: he's He's like, we're not paying for this. All right,

811
00:45:23,960 --> 00:45:26,480
Speaker 1: we're gonna take another quick break. We'll be right back,

812
00:45:34,239 --> 00:45:36,960
Speaker 1: and we're back. Uh, did we want to talk about

813
00:45:37,320 --> 00:45:40,640
Speaker 1: the adderall Stiffer in chief? Well, this is a great

814
00:45:40,680 --> 00:45:42,719
Speaker 1: story because it's the intersection of things we all know

815
00:45:42,800 --> 00:45:48,200
Speaker 1: about politics and terrible open mic comedy. Yeah, and this

816
00:45:48,960 --> 00:45:53,560
Speaker 1: comedian quote unquote named Noel Castler uh took to the

817
00:45:53,640 --> 00:45:57,000
Speaker 1: stage in New York, I think, and basically just spilled

818
00:45:57,080 --> 00:45:59,520
Speaker 1: the t on like his time working on The Apprentice,

819
00:45:59,560 --> 00:46:01,960
Speaker 1: and it was like, I give a funk about my nda, yes, uh,

820
00:46:02,440 --> 00:46:05,080
Speaker 1: and let's just listen to some of the nuggets he drops. Yeah.

821
00:46:05,120 --> 00:46:07,960
Speaker 1: It's like he knew he wanted to like get some

822
00:46:08,120 --> 00:46:12,919
Speaker 1: publicity out of having this like crazy information, and rather

823
00:46:13,040 --> 00:46:17,040
Speaker 1: than doing like an interview with ABC, he was like,

824
00:46:17,120 --> 00:46:20,080
Speaker 1: I'm gonna launch my stand up career because he didn't

825
00:46:20,120 --> 00:46:23,200
Speaker 1: know how stand up worked. And here are the results.

826
00:46:23,880 --> 00:46:27,360
Speaker 1: He's a speed freak. He crushes up his adderall and

827
00:46:27,440 --> 00:46:29,319
Speaker 1: he snits it because he can't read, so he gets

828
00:46:29,400 --> 00:46:31,359
Speaker 1: really nervous when he has to read cute guards. I'm

829
00:46:31,360 --> 00:46:33,279
Speaker 1: not kidding, this is true. I had a twenty four

830
00:46:33,320 --> 00:46:36,200
Speaker 1: page nd A nondisclosure agreement. I didn't know that he

831
00:46:36,280 --> 00:46:38,600
Speaker 1: was become a president. Now it's no way, dumb mass.

832
00:46:38,640 --> 00:46:42,080
Speaker 1: I'm telling you everything I know. So he and he

833
00:46:42,120 --> 00:46:44,440
Speaker 1: crushes up these pills. That's why he sniffing when you

834
00:46:44,480 --> 00:46:46,319
Speaker 1: see him in debates, and when you see him reading,

835
00:46:46,360 --> 00:46:48,319
Speaker 1: it's why he's tweeting. You know, he's like he's out

836
00:46:48,360 --> 00:46:50,800
Speaker 1: of his mind. It makes sense if you think about it,

837
00:46:51,040 --> 00:46:54,000
Speaker 1: met the amphetamine was invented by the Nazis keep the

838
00:46:54,080 --> 00:46:57,040
Speaker 1: fighter pilots up all night on bombing runs, right, so

839
00:46:57,160 --> 00:46:58,759
Speaker 1: it makes sense that Trump would use it to hate

840
00:46:58,800 --> 00:47:05,160
Speaker 1: tweeting it self. Sounded right. Four am. So we missed

841
00:47:05,200 --> 00:47:08,440
Speaker 1: a couple of awful jokes. I'm glad super producer Nick

842
00:47:08,520 --> 00:47:11,840
Speaker 1: cut that out because there's some lame ass jokes about

843
00:47:12,200 --> 00:47:15,560
Speaker 1: his preference for women. But yeah, he also spilled some

844
00:47:15,640 --> 00:47:18,239
Speaker 1: tea about when he was doing the Miss teen US

845
00:47:18,320 --> 00:47:22,960
Speaker 1: A competition Teen USA. Mind you, he was inspecting their

846
00:47:23,000 --> 00:47:26,920
Speaker 1: teeth like the fucking Westminster Dog Show and then being like,

847
00:47:27,080 --> 00:47:28,920
Speaker 1: if you want to win me, be in the penthouse

848
00:47:30,320 --> 00:47:33,400
Speaker 1: and people were apparently going up, and the people who

849
00:47:33,440 --> 00:47:36,600
Speaker 1: went up were performing well in the competition. Yeah, I

850
00:47:36,640 --> 00:47:39,280
Speaker 1: don't know what. The people would laugh at that story

851
00:47:39,360 --> 00:47:41,920
Speaker 1: and he would be like, no, I'm serious, which is

852
00:47:42,000 --> 00:47:46,080
Speaker 1: not usually a good stand up strategy, but it is

853
00:47:46,120 --> 00:47:49,239
Speaker 1: a fucking crazy story that this guy apparently had excess. Yeah,

854
00:47:49,320 --> 00:47:51,879
Speaker 1: working on the Apprentice saw that he was snoring. I mean,

855
00:47:52,080 --> 00:47:53,759
Speaker 1: you know, who knows if this is real, but it

856
00:47:54,320 --> 00:47:57,359
Speaker 1: he was sniffing so goddamn much during those debates where

857
00:47:57,360 --> 00:48:00,920
Speaker 1: you're like, yeah, that's when everyone was like going on,

858
00:48:01,239 --> 00:48:06,440
Speaker 1: and that is definitely something that happens you start getting well,

859
00:48:06,480 --> 00:48:10,480
Speaker 1: I mean if you don't want yeah, I meant doing

860
00:48:10,560 --> 00:48:12,640
Speaker 1: that below, But I think that weren't you saying like

861
00:48:12,719 --> 00:48:15,520
Speaker 1: in the eighties though, he was like into doctor prescribed

862
00:48:15,600 --> 00:48:17,920
Speaker 1: pet or something that was like that the doctor what

863
00:48:18,000 --> 00:48:20,279
Speaker 1: the doctor said that Dayeah, there was a doctor who

864
00:48:20,400 --> 00:48:23,000
Speaker 1: prescribed him all sorts of pet pills and like feel

865
00:48:23,040 --> 00:48:27,560
Speaker 1: good pills, and he uh yeah, he has like a

866
00:48:27,680 --> 00:48:31,320
Speaker 1: medical record history that I think people are trying to

867
00:48:31,400 --> 00:48:36,640
Speaker 1: pull from his doctor's office that either the Secret Service

868
00:48:36,760 --> 00:48:38,880
Speaker 1: came in and like pulled it or something or like

869
00:48:39,000 --> 00:48:41,560
Speaker 1: got rid of it. But it was that dude who

870
00:48:41,800 --> 00:48:46,239
Speaker 1: like looked a shady porn director. Yeah, yeah, who does

871
00:48:46,320 --> 00:48:49,160
Speaker 1: not look like like like the doctor that your weed

872
00:48:49,239 --> 00:48:53,360
Speaker 1: prescription exactly checks, he checks your fucking blood pressure for

873
00:48:53,360 --> 00:48:55,160
Speaker 1: two seconds. Yeah, yeah, you're good. Okay, you might want

874
00:48:55,160 --> 00:48:57,920
Speaker 1: to get your blood blood pressure. Yeah. I forget the

875
00:48:58,040 --> 00:49:01,880
Speaker 1: specific details, but I know that he was like using

876
00:49:02,000 --> 00:49:05,480
Speaker 1: basically medical speed during the eighties and then like the

877
00:49:05,600 --> 00:49:08,400
Speaker 1: trail kind of went cold. And I mean this is

878
00:49:08,560 --> 00:49:11,439
Speaker 1: there's a type of celebrity who you know, uses their

879
00:49:11,560 --> 00:49:14,920
Speaker 1: influence and celebrity to you know, get doctors to give

880
00:49:15,000 --> 00:49:19,600
Speaker 1: them the good ship. Any person who grew up on

881
00:49:19,640 --> 00:49:22,640
Speaker 1: the well, a lot of like teetotaling celebrities like Elvis

882
00:49:22,840 --> 00:49:26,359
Speaker 1: never took illegal drugs. He just died of a drug

883
00:49:26,480 --> 00:49:30,880
Speaker 1: overdose from drugs that like his homide doctor just prescribed

884
00:49:31,080 --> 00:49:34,200
Speaker 1: dry or Dr Pepper. Yeah, I think. I mean that's

885
00:49:34,239 --> 00:49:36,160
Speaker 1: the same kind of mentality a lot of people who

886
00:49:36,280 --> 00:49:38,680
Speaker 1: get even into other prescription drugs do because they're like, well,

887
00:49:38,719 --> 00:49:40,920
Speaker 1: it's not a drug, and it's easy to just in

888
00:49:41,000 --> 00:49:42,800
Speaker 1: your mind be like, oh, I'm not a drug addict

889
00:49:43,080 --> 00:49:45,520
Speaker 1: taking these things. And that's never gotten anyone in trouble

890
00:49:46,680 --> 00:49:50,200
Speaker 1: except for America right now, so we'll see, you know.

891
00:49:50,960 --> 00:49:52,960
Speaker 1: And it's also like for sure he's on speed when

892
00:49:53,000 --> 00:49:55,880
Speaker 1: he tweets yeah, like the middle of the night, Like,

893
00:49:56,200 --> 00:49:59,799
Speaker 1: how else do you think that happens? Yeah, I thought

894
00:49:59,840 --> 00:50:03,640
Speaker 1: he a man with incredibly poor nutrition, Like of course

895
00:50:04,040 --> 00:50:06,520
Speaker 1: he would be asleep, Like do you know what I mean?

896
00:50:06,600 --> 00:50:08,920
Speaker 1: Like he doesn't eat well enough to have energy. He

897
00:50:09,000 --> 00:50:11,360
Speaker 1: doesn't exercise, he doesn't believe in it. He believes that

898
00:50:11,440 --> 00:50:15,919
Speaker 1: exercise wears out your machinery. Right, So if you don't

899
00:50:15,920 --> 00:50:17,840
Speaker 1: believe in any of those things, I can't imagine you

900
00:50:17,880 --> 00:50:20,640
Speaker 1: have enough energy to run the country. So of course

901
00:50:20,760 --> 00:50:22,560
Speaker 1: you're going to be a speed at it. Well, there's

902
00:50:22,560 --> 00:50:24,400
Speaker 1: also that thing he said that he only needs like

903
00:50:24,520 --> 00:50:26,480
Speaker 1: what three hours of sleep at night. I wonder if

904
00:50:26,520 --> 00:50:29,080
Speaker 1: that's a lie he created, because he's just covered up,

905
00:50:29,120 --> 00:50:32,760
Speaker 1: whacked out all night. Only three hours of sleep exactly.

906
00:50:33,080 --> 00:50:35,920
Speaker 1: And I need a screwdriver and some old TVs, a

907
00:50:36,000 --> 00:50:39,879
Speaker 1: lot of poor a lot of poorn. And there's also

908
00:50:40,040 --> 00:50:43,280
Speaker 1: the dude who he wanted to give the entire Veterans

909
00:50:43,320 --> 00:50:46,480
Speaker 1: Affairs department too, who ended up having to pull himself

910
00:50:46,520 --> 00:50:50,239
Speaker 1: from contentions. Doctor Ronnie I think was the name something.

911
00:50:50,920 --> 00:50:52,759
Speaker 1: One of the things that he got in trouble for

912
00:50:53,000 --> 00:50:56,920
Speaker 1: was being like a doctor feel goods, and a lot

913
00:50:56,960 --> 00:50:58,880
Speaker 1: of people were like that. It's funny because there are

914
00:50:58,880 --> 00:51:00,440
Speaker 1: a lot of people on other admitted strange as. We

915
00:51:00,480 --> 00:51:03,479
Speaker 1: were like, yeah, well you know, yeah, take those fights.

916
00:51:04,280 --> 00:51:06,320
Speaker 1: Something to go sleeping, ne something to stay up. No,

917
00:51:06,600 --> 00:51:08,759
Speaker 1: I don't doubt that. So I gotta say doctor feel

918
00:51:08,800 --> 00:51:12,000
Speaker 1: Good always sounds amazing as a job. He's not a

919
00:51:12,080 --> 00:51:18,399
Speaker 1: bad guy, he's making good. Call it something more nefariously. Yeah,

920
00:51:18,600 --> 00:51:25,680
Speaker 1: the killer of Prince right, yeah, the doctor yeah killed

921
00:51:26,000 --> 00:51:30,680
Speaker 1: the King of pop and Prince was same. No, it's

922
00:51:30,719 --> 00:51:33,920
Speaker 1: not the same doctor, but doctor doctors, doctors who just

923
00:51:34,040 --> 00:51:38,200
Speaker 1: didn't know how to say no, enabler doctors. Yeah, all right,

924
00:51:38,239 --> 00:51:45,520
Speaker 1: a murder, yeah exactly, doctor Murder earliest feel Good. Yeah,

925
00:51:46,120 --> 00:51:49,120
Speaker 1: it's got We'll workshop that. I think we I think

926
00:51:49,200 --> 00:51:52,080
Speaker 1: we got it. Okay, let's print to move forward from here.

927
00:51:53,480 --> 00:51:58,120
Speaker 1: All right, that's gonna do it for this week's weekly Zeitgeist.

928
00:51:58,239 --> 00:52:01,640
Speaker 1: Please like and review the show if you like to

929
00:52:01,760 --> 00:52:07,000
Speaker 1: show uh means the world to Miles. He needs your validation, folks.

930
00:52:07,640 --> 00:52:10,680
Speaker 1: I hope you're having a great weekend, and I will

931
00:52:10,719 --> 00:52:12,040
Speaker 1: talk to him Monday. By