1
00:00:00,400 --> 00:00:03,480
Speaker 1: Hello the Internet, and welcome to season two seventy seven,

2
00:00:03,520 --> 00:00:09,040
Speaker 1: Episode two of Dirt a Ley's Eye. Guys, stay professional radio. Hey,

3
00:00:09,720 --> 00:00:13,480
Speaker 1: who's that? This is a podcast where we take a

4
00:00:13,680 --> 00:00:18,320
Speaker 1: deep dive into America's shared consciousness. And it's Tuesday, February twenty,

5
00:00:18,560 --> 00:00:23,040
Speaker 1: twenty twenty three. My name is Jack O'Brien ak. I

6
00:00:23,079 --> 00:00:26,400
Speaker 1: don't know if you've heard of JC, but you never

7
00:00:26,480 --> 00:00:30,800
Speaker 1: possessed the Holy See no Ragcliff, no magic, no yogis

8
00:00:31,200 --> 00:00:35,000
Speaker 1: my boss of the motherfucking Pope. That is courtesy of

9
00:00:35,080 --> 00:00:39,280
Speaker 1: Salvador Jolly, in reference to the new Russell Crow Joint,

10
00:00:39,800 --> 00:00:43,440
Speaker 1: in which he is the Pope's exorcist and gets to

11
00:00:43,520 --> 00:00:46,120
Speaker 1: utter the line he got a problem with me, pick

12
00:00:46,159 --> 00:00:49,160
Speaker 1: it up with my boss, the Pope, which I'm trying

13
00:00:49,200 --> 00:00:54,000
Speaker 1: to make my own new catchphrase. I'm trying to absorb

14
00:00:54,080 --> 00:00:57,040
Speaker 1: that into my life. Well, I'm thrilled to be joined

15
00:00:57,920 --> 00:01:00,280
Speaker 1: by a very special guest, co host one of the

16
00:01:00,400 --> 00:01:03,480
Speaker 1: very cases on Mountains Lightmore, an Emmy nominated writer, artist,

17
00:01:03,600 --> 00:01:08,240
Speaker 1: comedians behind many acclaimed podcasts, author of the upcoming New

18
00:01:08,319 --> 00:01:12,200
Speaker 1: York Times bestseller I'm going to Manifest It into Existence,

19
00:01:12,800 --> 00:01:21,480
Speaker 1: Raw Dog. It's Jeni Minion time, Jamie will take over

20
00:01:21,880 --> 00:01:33,760
Speaker 1: the dailies. I guys, Dominion guys say below and Bana. Look,

21
00:01:33,880 --> 00:01:36,240
Speaker 1: I think it's fun. I think it's fun. I don't

22
00:01:36,280 --> 00:01:38,640
Speaker 1: know if I think it's may have been so long

23
00:01:38,720 --> 00:01:41,680
Speaker 1: that I haven't even been able to really fully talk

24
00:01:41,800 --> 00:01:46,880
Speaker 1: minions on the daily night guys, way too long. It's

25
00:01:46,880 --> 00:01:50,280
Speaker 1: been that long that you haven't been that fully talked

26
00:01:50,280 --> 00:01:54,680
Speaker 1: about the latest The Rise of Grew Yeah, oh, the

27
00:01:54,800 --> 00:01:57,600
Speaker 1: Rise of Grew. Yes, and that I'm legally married to

28
00:01:57,960 --> 00:02:02,520
Speaker 1: Kevin Lemignon. There's just been so much going on. Yeah,

29
00:02:02,680 --> 00:02:05,320
Speaker 1: I'm so excited, Hi, Jack, so excited to have you.

30
00:02:05,360 --> 00:02:07,840
Speaker 1: Thank you so much for being here. It's so so

31
00:02:07,880 --> 00:02:11,919
Speaker 1: wonderful to have you. Did you say Dominion Times at

32
00:02:12,120 --> 00:02:17,840
Speaker 1: Dominion Times? Yeah, Jurassic Park Dominions. Okay. I was just wondering,

33
00:02:17,919 --> 00:02:20,200
Speaker 1: like that was the first time that I realized that

34
00:02:20,360 --> 00:02:25,040
Speaker 1: the minions were behind the Dominion voting scandal, like the

35
00:02:25,280 --> 00:02:28,600
Speaker 1: mess the name of the voting machines. How am I

36
00:02:28,680 --> 00:02:31,760
Speaker 1: the first person to write this conspiracy theory? Come on?

37
00:02:31,919 --> 00:02:36,000
Speaker 1: And I mean they like exactly they work. They work

38
00:02:36,080 --> 00:02:38,840
Speaker 1: for the most most evil master you know available At

39
00:02:38,880 --> 00:02:41,839
Speaker 1: the time, I just love that in Minion World they

40
00:02:42,240 --> 00:02:45,440
Speaker 1: have an elaborate reason for why the minions were had

41
00:02:45,560 --> 00:02:48,880
Speaker 1: no ties to World War Two. You're like, oh my god,

42
00:02:49,400 --> 00:02:53,160
Speaker 1: they were living in a frozen cave then Jack of course, yeah,

43
00:02:53,240 --> 00:02:57,480
Speaker 1: yeah for both of the world wars. So so relax, Yeah,

44
00:02:57,800 --> 00:03:00,960
Speaker 1: I mean, I can't lax when it comes to the

45
00:03:01,000 --> 00:03:03,800
Speaker 1: make up too, and if they should have tried harder

46
00:03:03,800 --> 00:03:05,520
Speaker 1: to get out of the frozen cave, like, I mean,

47
00:03:07,280 --> 00:03:10,040
Speaker 1: did they get the news? Did they just did they

48
00:03:10,040 --> 00:03:12,000
Speaker 1: sit one out? We don't know, we don't know. They're

49
00:03:12,520 --> 00:03:16,880
Speaker 1: supervillain circles like for all throughout all their existence and

50
00:03:16,919 --> 00:03:20,800
Speaker 1: then just didn't didn't even know this was coming, Like

51
00:03:20,880 --> 00:03:23,280
Speaker 1: come on, they're out by the sixties though, so you

52
00:03:23,360 --> 00:03:25,000
Speaker 1: kind of I guess we just need to wait for

53
00:03:25,040 --> 00:03:26,680
Speaker 1: the next movie to find out what they were up

54
00:03:26,720 --> 00:03:29,000
Speaker 1: to during the Gulf War. I don't know. Yeah, nine

55
00:03:29,000 --> 00:03:32,200
Speaker 1: to eleven the Gulf War. Yeah, yeah, there's a lot

56
00:03:32,240 --> 00:03:36,400
Speaker 1: of the architects of all that CIA like false information,

57
00:03:37,240 --> 00:03:40,960
Speaker 1: Oh for sure, for sure. Wasn't it yellow cake uranium

58
00:03:41,440 --> 00:03:45,240
Speaker 1: that was used to false yellow Interesting. I'm just I'm

59
00:03:45,240 --> 00:03:48,640
Speaker 1: just connecting dots that are there. I'm not adding anything

60
00:03:48,880 --> 00:03:52,920
Speaker 1: to this anyways. No, you're just stating facts. I'm stating facts.

61
00:03:52,960 --> 00:03:56,280
Speaker 1: I'm doing my own research. We are thrilled to be

62
00:03:56,360 --> 00:03:58,880
Speaker 1: joined in our third seat by the author of the

63
00:03:58,880 --> 00:04:02,680
Speaker 1: new book Overthinking About You, about the intersection of dating

64
00:04:02,680 --> 00:04:05,160
Speaker 1: a mental health. You know her from just between us.

65
00:04:05,200 --> 00:04:13,080
Speaker 1: It's the brilliant and talented Alison Rasco. Oh, thank you

66
00:04:13,120 --> 00:04:15,080
Speaker 1: for having me. I did not know any of that

67
00:04:15,160 --> 00:04:19,440
Speaker 1: about the Minions. Yeah, oh my god, well I haven't

68
00:04:19,440 --> 00:04:22,400
Speaker 1: seen one. I haven't seen a Despicable of Me. I

69
00:04:22,400 --> 00:04:25,440
Speaker 1: haven't seen a Minion movie. I don't know about this

70
00:04:26,040 --> 00:04:30,120
Speaker 1: rich history. Oh oh, there's so much going on and

71
00:04:30,240 --> 00:04:35,440
Speaker 1: trouble Jack. Have you have you seen them all? Because

72
00:04:35,520 --> 00:04:37,560
Speaker 1: of your kids? Or you just watch? I feel like

73
00:04:37,600 --> 00:04:39,719
Speaker 1: not in order. It's like I'll walk in for a

74
00:04:39,760 --> 00:04:43,840
Speaker 1: scene here and there, and but usually like if the

75
00:04:43,920 --> 00:04:47,400
Speaker 1: kids are watching a movie, it's an opportunity to like

76
00:04:47,560 --> 00:04:51,920
Speaker 1: go get adult things done. So but I've been sucked

77
00:04:51,960 --> 00:04:56,120
Speaker 1: in for entire chunks of the Minion movie. What is

78
00:04:56,160 --> 00:04:59,039
Speaker 1: adult things? Do you? Like, go watch meet Joe Black

79
00:04:59,200 --> 00:05:05,280
Speaker 1: or something? Just constantly paying bills, just bills, stacking up

80
00:05:05,320 --> 00:05:07,839
Speaker 1: on my desk and then just nailing him out the

81
00:05:07,920 --> 00:05:11,400
Speaker 1: door with a real haired look on my face. Yeah, yeah, no,

82
00:05:11,480 --> 00:05:14,920
Speaker 1: I go watch Meet Joe Black. I don't know. That's

83
00:05:14,920 --> 00:05:20,800
Speaker 1: like the adult movie. I guess I got adult things

84
00:05:20,800 --> 00:05:25,040
Speaker 1: to do kids, like the True Love between the Grim

85
00:05:25,040 --> 00:05:29,640
Speaker 1: Reaper and somebody who Met the Grim Reaper ail though

86
00:05:29,640 --> 00:05:33,320
Speaker 1: it's not lady. I actually have never seen Meet Joe Black.

87
00:05:33,520 --> 00:05:35,280
Speaker 1: I just my parents had it and it was two

88
00:05:35,360 --> 00:05:39,159
Speaker 1: VHS tapes, so I was like, damn, that's were you

89
00:05:39,200 --> 00:05:40,839
Speaker 1: kind of like walking into the room to make sure

90
00:05:40,920 --> 00:05:43,440
Speaker 1: that they were occupied and then going to do kids stuff.

91
00:05:43,520 --> 00:05:46,479
Speaker 1: Was it like a reverse of how I treat you?

92
00:05:46,520 --> 00:05:49,160
Speaker 1: Were just like me, I need to make sure I

93
00:05:49,240 --> 00:05:53,239
Speaker 1: was good to go watch Pinocchio and you can watch

94
00:05:53,880 --> 00:05:55,880
Speaker 1: That's like you can watch Pinocchio three times and the

95
00:05:55,960 --> 00:05:59,800
Speaker 1: run time of Meet Joe Black, that's true. Meetcho Black

96
00:05:59,880 --> 00:06:04,240
Speaker 1: is very long. And my dad really loves it, like

97
00:06:05,000 --> 00:06:08,279
Speaker 1: has has given like he doesn't give me a heartfelt

98
00:06:08,320 --> 00:06:11,599
Speaker 1: so little queezed about much, but he has been like that,

99
00:06:11,720 --> 00:06:16,120
Speaker 1: Meet Joe Black is a hell of a film. Someone

100
00:06:16,200 --> 00:06:19,960
Speaker 1: had to say it. He may be the first someone did. Alison,

101
00:06:20,000 --> 00:06:22,040
Speaker 1: how are you doing? Where are you coming to us from?

102
00:06:22,680 --> 00:06:27,000
Speaker 1: I'm in Rainy Los Angeles. So no, it's really going on.

103
00:06:27,440 --> 00:06:31,360
Speaker 1: I don't know how to function overwhelmed by the wetness.

104
00:06:31,480 --> 00:06:36,000
Speaker 1: It's it's been, it's been rough. We're just like not,

105
00:06:36,160 --> 00:06:38,600
Speaker 1: we're not built for it. And then every time it

106
00:06:38,640 --> 00:06:41,960
Speaker 1: comes up, for like for people who live in cities

107
00:06:41,960 --> 00:06:45,680
Speaker 1: that get snow, they're like, oh, shut the fuck up.

108
00:06:45,720 --> 00:06:48,360
Speaker 1: For You're like, okay, but it's raining, it's actually really

109
00:06:48,440 --> 00:06:51,120
Speaker 1: hard for us. We're not built for it. It just

110
00:06:51,200 --> 00:06:54,599
Speaker 1: falls apart right away. Like, so it starts raining hard

111
00:06:54,760 --> 00:06:57,520
Speaker 1: Friday night and someone to meet, like one of the

112
00:06:57,560 --> 00:07:01,440
Speaker 1: traffic lights in my neighborhood went down. A car immediately

113
00:07:01,560 --> 00:07:07,760
Speaker 1: like sped through that intersection, knocked over like telephone electric pole,

114
00:07:07,960 --> 00:07:12,640
Speaker 1: like knocked out power and internet to our entire neighborhood

115
00:07:12,720 --> 00:07:16,080
Speaker 1: for the whole weekend. It's just like, this is just

116
00:07:16,080 --> 00:07:19,560
Speaker 1: just rain, just rain. Yeah, my friend had another one

117
00:07:19,600 --> 00:07:21,720
Speaker 1: where somebody hit a pole and then she lost power

118
00:07:21,760 --> 00:07:24,240
Speaker 1: and she had to stay at my house for a night. Yeah,

119
00:07:24,960 --> 00:07:28,040
Speaker 1: it's funny that it's not just the weather, it's people

120
00:07:28,320 --> 00:07:31,920
Speaker 1: driving into poles seems to be a main cause of

121
00:07:31,960 --> 00:07:38,840
Speaker 1: the issue. Yeah, fascinating. I didn't see that part coming. Yeah, yeah,

122
00:07:38,840 --> 00:07:43,280
Speaker 1: just right, away. There's a a knocked over telephone pole.

123
00:07:43,320 --> 00:07:45,800
Speaker 1: The trees are getting knocked over too, which I'm a

124
00:07:45,800 --> 00:07:49,720
Speaker 1: little confused by. I think just the wind climate change.

125
00:07:49,840 --> 00:07:52,800
Speaker 1: I'm not sure that's what I that's my catchphrase, the

126
00:07:52,840 --> 00:07:55,600
Speaker 1: wind climate change. I'm not sure that. And the Pope

127
00:07:55,640 --> 00:07:59,160
Speaker 1: is your boss. Yeah, Pope is going to figure it out,

128
00:07:59,360 --> 00:08:00,840
Speaker 1: all right. Also, we're gonna get to know you a

129
00:08:00,840 --> 00:08:02,800
Speaker 1: little bit better in a moment. First, we're gonna tell

130
00:08:02,840 --> 00:08:05,440
Speaker 1: our listeners a couple of the things we're talking about today.

131
00:08:05,520 --> 00:08:08,960
Speaker 1: We're talking about they were like two big COVID stories

132
00:08:09,280 --> 00:08:12,560
Speaker 1: that were like revised over the weekend or over the

133
00:08:12,600 --> 00:08:14,680
Speaker 1: past week, Like one in the New York Times it

134
00:08:14,800 --> 00:08:19,440
Speaker 1: was like, masks don't work at all, Like never at

135
00:08:19,440 --> 00:08:22,760
Speaker 1: all have they worked, and that is a fact. And

136
00:08:22,800 --> 00:08:25,920
Speaker 1: then another that in the Wall Street Journal that claimed

137
00:08:26,200 --> 00:08:30,800
Speaker 1: that they now have like it was like breaking news,

138
00:08:30,880 --> 00:08:34,920
Speaker 1: we now have like evidence that COVID was caused by

139
00:08:35,120 --> 00:08:40,360
Speaker 1: a lab leak in Wuhan and yeah, it just feels

140
00:08:40,400 --> 00:08:43,680
Speaker 1: like there's and then Woody Harrelson's sl monologue was like

141
00:08:43,679 --> 00:08:49,200
Speaker 1: a weird anti vax rant. It was Yeah, I watched

142
00:08:49,200 --> 00:08:54,400
Speaker 1: that show and I like it. Yeah, big fan. Okay, well,

143
00:08:54,400 --> 00:08:56,480
Speaker 1: I guess we'll get there. Yeah, we'll get there. I

144
00:08:56,480 --> 00:08:58,760
Speaker 1: mean it wasn't like a full on anti vax rant,

145
00:08:58,800 --> 00:09:01,120
Speaker 1: but like he had this long like it was weird

146
00:09:01,600 --> 00:09:03,960
Speaker 1: long like story in the middle of it. Yeah, so

147
00:09:04,120 --> 00:09:07,040
Speaker 1: we'll talk about that. It just feels like things like

148
00:09:07,200 --> 00:09:10,480
Speaker 1: in what's supposed to be the center are moving right

149
00:09:10,840 --> 00:09:13,640
Speaker 1: in a weird way. So we'll talk about that. We will,

150
00:09:13,679 --> 00:09:16,800
Speaker 1: of course talk about Cocaine Bear, which also, according to

151
00:09:16,840 --> 00:09:21,840
Speaker 1: our writer JM maybe the ultimate pandemic movie. I've never

152
00:09:21,880 --> 00:09:25,600
Speaker 1: seen a concept for a movie I would want to

153
00:09:25,600 --> 00:09:31,800
Speaker 1: see less whoa And maybe that's because I know the

154
00:09:31,800 --> 00:09:35,040
Speaker 1: bear dies, like right, I don't want to watch a

155
00:09:35,040 --> 00:09:38,040
Speaker 1: movie about an animal, and even if the animal's doing

156
00:09:38,040 --> 00:09:44,840
Speaker 1: bad things and then the animal dies like no, thank you. Yeah, yeah,

157
00:09:45,200 --> 00:09:48,040
Speaker 1: it looks like the animal is very fun. I'm trying

158
00:09:48,040 --> 00:09:51,800
Speaker 1: to think. My reaction was quite the opposite. Yeah, it's

159
00:09:51,800 --> 00:09:55,760
Speaker 1: having fun before it goes out. But yeah, I can sympathize.

160
00:09:55,760 --> 00:10:02,040
Speaker 1: I guess my mind didn't immediately go to like, oh,

161
00:10:02,080 --> 00:10:04,480
Speaker 1: I have to know before I watch anything if any

162
00:10:04,520 --> 00:10:07,840
Speaker 1: animals diet it, because if they do, I have to

163
00:10:07,880 --> 00:10:11,240
Speaker 1: opt out. So no, John Wick, no, I've never been

164
00:10:11,240 --> 00:10:13,400
Speaker 1: able to see a single John Wick movie because even

165
00:10:13,440 --> 00:10:15,840
Speaker 1: though I hear they're excellent, because I know that the central,

166
00:10:16,840 --> 00:10:19,760
Speaker 1: you know, act, the catalyst moment, is his dog dying.

167
00:10:19,840 --> 00:10:22,760
Speaker 1: So it's no for me devastating, It's no for me.

168
00:10:23,320 --> 00:10:25,920
Speaker 1: But before we get to any of that shit, Alison,

169
00:10:26,080 --> 00:10:28,720
Speaker 1: we do like to ask our guest, what is something

170
00:10:28,800 --> 00:10:32,640
Speaker 1: from your search history? A lot of my search history

171
00:10:32,760 --> 00:10:35,600
Speaker 1: is like what my dogs can and cannot eat? So

172
00:10:36,040 --> 00:10:41,640
Speaker 1: a more recent one cocaine is that seems on this

173
00:10:41,760 --> 00:10:45,000
Speaker 1: movie it seems like dogs get really good at jumping.

174
00:10:45,559 --> 00:10:49,280
Speaker 1: But it would be my guest. I recently google can

175
00:10:49,360 --> 00:10:53,800
Speaker 1: dogs have sparkling water? And what do you think? Was

176
00:10:53,840 --> 00:10:58,000
Speaker 1: the answer? But what would your guests be? I? No,

177
00:10:58,240 --> 00:11:03,719
Speaker 1: too spicy? My guests would be yes, and it will

178
00:11:03,760 --> 00:11:07,280
Speaker 1: be hilarious to watch them react to it. So it

179
00:11:07,440 --> 00:11:10,480
Speaker 1: was they can have it in small amounts. Yeah, if

180
00:11:10,480 --> 00:11:14,680
Speaker 1: there's no flavoring, okay, so you can't have any kind

181
00:11:14,720 --> 00:11:18,640
Speaker 1: of flavored sparkling water, but in a pinch, I guess

182
00:11:18,640 --> 00:11:20,559
Speaker 1: they can have a little bit. But it seems like

183
00:11:20,679 --> 00:11:22,840
Speaker 1: it also seemed funny they were like in some picky

184
00:11:23,000 --> 00:11:29,160
Speaker 1: drinkers might be intrigued by the bubbles. Okay, you're on

185
00:11:29,200 --> 00:11:35,400
Speaker 1: a slippery slope there, like Perier. Please, Yes they did.

186
00:11:36,320 --> 00:11:40,480
Speaker 1: Did dogs like it? I don't know. I never tried.

187
00:11:40,720 --> 00:11:44,959
Speaker 1: Now I'm a little curious, but I personally hate it,

188
00:11:45,640 --> 00:11:49,400
Speaker 1: so I have I've never liked sparkling water of any kind,

189
00:11:49,480 --> 00:11:52,680
Speaker 1: and that's deeply upsetting to everybody in my life. HM.

190
00:11:53,080 --> 00:11:56,319
Speaker 1: So you were like thinking about going out to buy,

191
00:11:56,640 --> 00:11:59,400
Speaker 1: like acquire some sparkling water for your dog, Like it

192
00:11:59,480 --> 00:12:01,400
Speaker 1: wasn't a thing you had laying around them or like

193
00:12:01,480 --> 00:12:03,760
Speaker 1: sipping on it, and the dog was looking at you,

194
00:12:03,880 --> 00:12:06,920
Speaker 1: and you're like, oh, maybe it was like a thing

195
00:12:06,960 --> 00:12:10,000
Speaker 1: where you're like, I feel like they might really fuck

196
00:12:10,080 --> 00:12:13,120
Speaker 1: with sparkling water. Let me let me look into this. No,

197
00:12:13,280 --> 00:12:16,520
Speaker 1: my fiance is a big fan, and he he asked

198
00:12:16,559 --> 00:12:21,840
Speaker 1: the question, and I did the google. M. That's true teamwork. Yeah,

199
00:12:21,880 --> 00:12:28,280
Speaker 1: that's partnership. What is something you think is overrated? Okay,

200
00:12:28,360 --> 00:12:32,319
Speaker 1: so we're we're planning our wedding and so that obviously

201
00:12:32,400 --> 00:12:35,080
Speaker 1: gets you thinking about a lot of like these traditions

202
00:12:35,120 --> 00:12:38,560
Speaker 1: around that. And something that I, even before this process,

203
00:12:38,600 --> 00:12:43,319
Speaker 1: has found to be overrated is a formal thank you card. M.

204
00:12:43,960 --> 00:12:46,800
Speaker 1: I think it is really annoying for the people to

205
00:12:46,880 --> 00:12:50,680
Speaker 1: do who are writing them out, especially after a big event,

206
00:12:51,160 --> 00:12:53,400
Speaker 1: and then I think most people read them for one

207
00:12:53,440 --> 00:12:56,600
Speaker 1: second and throw them out right. So I'm more of

208
00:12:56,640 --> 00:12:58,800
Speaker 1: a fan of a of a text, a quick text

209
00:12:58,880 --> 00:13:02,400
Speaker 1: thank you, but a formal thank you card. I don't know,

210
00:13:02,480 --> 00:13:05,319
Speaker 1: I'm wondering if as a society we can sort of

211
00:13:05,360 --> 00:13:09,680
Speaker 1: start to leave that behind. So I've recently received one

212
00:13:09,840 --> 00:13:13,400
Speaker 1: from a couple for an engagement party, and they took

213
00:13:13,400 --> 00:13:16,319
Speaker 1: a video and it was very charming and like they

214
00:13:16,559 --> 00:13:22,079
Speaker 1: you know, them just expressing their heartfelt thanks and you know,

215
00:13:22,600 --> 00:13:25,280
Speaker 1: it seemed like it took less time than like writing

216
00:13:25,600 --> 00:13:28,880
Speaker 1: writing a thing out. And then we just attempted it

217
00:13:29,040 --> 00:13:33,320
Speaker 1: yesterday because it's my five year old's birthday and so

218
00:13:33,559 --> 00:13:36,320
Speaker 1: we were like, well, we don't go through the trouble

219
00:13:36,840 --> 00:13:40,480
Speaker 1: of having him, you know, us writing the cards and

220
00:13:40,520 --> 00:13:43,920
Speaker 1: then painstakingly getting him to write his name out like

221
00:13:44,000 --> 00:13:46,880
Speaker 1: a couple words. So we did videos after he opened

222
00:13:46,920 --> 00:13:49,560
Speaker 1: it and was like super excited about the gift, and

223
00:13:49,600 --> 00:13:53,320
Speaker 1: it worked really well. Like I think, little videos are fun,

224
00:13:53,400 --> 00:13:57,600
Speaker 1: are a fun alternative. Also probably a little taxing, especially

225
00:13:57,679 --> 00:14:01,480
Speaker 1: from kids. Yeah, from kids, it's definitely fun. Oh wow,

226
00:14:01,520 --> 00:14:03,600
Speaker 1: So then how do you get them the video? Is

227
00:14:03,600 --> 00:14:08,280
Speaker 1: it in an email? Is a yeah? Email? Just a

228
00:14:08,320 --> 00:14:11,320
Speaker 1: text or yeah? Email sense I like that, So an

229
00:14:11,400 --> 00:14:15,240
Speaker 1: update on it? Yeah, Jamie, we did go to Chuck

230
00:14:15,280 --> 00:14:18,280
Speaker 1: E Cheese for his birthday party. I know, but I'll

231
00:14:18,320 --> 00:14:24,160
Speaker 1: pretend to learn again. Yeah, I'm so excited. I saved

232
00:14:24,160 --> 00:14:27,840
Speaker 1: a couple of questions for you for on mine. So, yeah,

233
00:14:27,920 --> 00:14:30,080
Speaker 1: you said you said that the one you went to

234
00:14:30,200 --> 00:14:33,200
Speaker 1: there's no more band, but there is one Chuck. There's

235
00:14:33,240 --> 00:14:36,600
Speaker 1: the Wonder is an animatronic Chuck. And when you enter

236
00:14:36,920 --> 00:14:39,400
Speaker 1: and the lights are all because like it's we did

237
00:14:39,400 --> 00:14:42,240
Speaker 1: a thing where you go in before it opens up

238
00:14:42,360 --> 00:14:45,520
Speaker 1: and like have like the video games to yourself. But

239
00:14:45,680 --> 00:14:49,200
Speaker 1: you also get a tear Chuck. Yeah, elite tear Chuck

240
00:14:49,280 --> 00:14:53,960
Speaker 1: experience that the couture Chuck Chuck E Cheese experience. But

241
00:14:54,120 --> 00:14:56,280
Speaker 1: when you when you enter in there no lights on

242
00:14:56,400 --> 00:15:01,880
Speaker 1: his eyes are like black holes, and yeah, it'll happen upsetting. Yeah,

243
00:15:01,880 --> 00:15:06,680
Speaker 1: it looks like a character from one of those medieval paintings.

244
00:15:06,720 --> 00:15:10,080
Speaker 1: That's just like them going going nuts on like the

245
00:15:10,160 --> 00:15:13,680
Speaker 1: idea of a punishing god. They're just like this what

246
00:15:15,240 --> 00:15:18,480
Speaker 1: circle of hell? Yeah, how did the kids react to

247
00:15:18,560 --> 00:15:21,320
Speaker 1: the animatronic? Did they ignore it? Did they engage with it?

248
00:15:21,320 --> 00:15:25,840
Speaker 1: Completely ignored it? Well, that's just not to call your

249
00:15:26,400 --> 00:15:31,640
Speaker 1: your child and their friends disgusting. But what a what

250
00:15:31,760 --> 00:15:35,360
Speaker 1: a loss, what a missed opportunity, and what a lost generation.

251
00:15:36,160 --> 00:15:38,320
Speaker 1: I was trying to get attention to it. I was like,

252
00:15:38,440 --> 00:15:40,760
Speaker 1: you know, doing a little dancing over by it and

253
00:15:40,800 --> 00:15:45,760
Speaker 1: being like it's it's kind of jag it out. His

254
00:15:45,880 --> 00:15:49,040
Speaker 1: mouth wasn't moving, but his hands were in a way

255
00:15:49,040 --> 00:15:52,000
Speaker 1: that was completely dissociated from his voice, but it was

256
00:15:52,000 --> 00:15:54,480
Speaker 1: close enough that you you could kind of tell that

257
00:15:54,480 --> 00:15:57,440
Speaker 1: that's what was supposed to be happening. That is something

258
00:15:57,480 --> 00:15:59,560
Speaker 1: that bugs me. I mean, the top two Chucky Cheese

259
00:15:59,560 --> 00:16:05,800
Speaker 1: things that right now, right now, it's always changing. Butting

260
00:16:06,640 --> 00:16:08,240
Speaker 1: is that people they're like, well, did you know his

261
00:16:08,320 --> 00:16:10,960
Speaker 1: middle names entertainment? I was like, all right, call me

262
00:16:11,000 --> 00:16:13,560
Speaker 1: in twenty fourteen, and that's when I didn't know that.

263
00:16:14,760 --> 00:16:17,920
Speaker 1: I didn't know that any other Oh, his middle name

264
00:16:18,000 --> 00:16:22,720
Speaker 1: is entertainment. I don't think I've ever been to a

265
00:16:22,720 --> 00:16:27,720
Speaker 1: true Chucky Cheese. And now you can't that's the problem.

266
00:16:27,960 --> 00:16:31,080
Speaker 1: You can't go all the all the animatronic bands are gone,

267
00:16:31,360 --> 00:16:34,320
Speaker 1: even the Chucky ye're describing, which is in mid two

268
00:16:34,320 --> 00:16:37,520
Speaker 1: thousands model after he's already been changed from a rat

269
00:16:37,600 --> 00:16:42,160
Speaker 1: to a mouse that skateboards. Yeah, he's already got the

270
00:16:42,240 --> 00:16:44,600
Speaker 1: voice of the guy from Bowling for Soup, so it's

271
00:16:44,600 --> 00:16:48,320
Speaker 1: already a lesser experience. He used to smoke. He used

272
00:16:48,320 --> 00:16:52,760
Speaker 1: to smoke a big fat cigar. But now really, Oh yeah,

273
00:16:52,760 --> 00:16:57,400
Speaker 1: early Chucky was the bandleader. He played no instruments. He

274
00:16:57,560 --> 00:17:01,720
Speaker 1: just yelled at the band. He didn't even sing nd style. Yeah,

275
00:17:01,760 --> 00:17:04,679
Speaker 1: he just he was an MC. He smoked a big cigar.

276
00:17:04,840 --> 00:17:06,960
Speaker 1: He was a rat, and he ran a casino and

277
00:17:07,040 --> 00:17:11,200
Speaker 1: that was what happened. He's still giving rat, by the way,

278
00:17:11,240 --> 00:17:14,440
Speaker 1: because of the code. Like his fur is like a

279
00:17:14,480 --> 00:17:19,000
Speaker 1: dirty gray. It looks like every rat I've ever encountered,

280
00:17:19,280 --> 00:17:23,320
Speaker 1: and we think that's what you get from him. The

281
00:17:23,480 --> 00:17:26,760
Speaker 1: vibe Chucky you should be giving should be like if

282
00:17:26,800 --> 00:17:29,800
Speaker 1: you was in your house, you would kill him. Not

283
00:17:30,160 --> 00:17:35,280
Speaker 1: you would? Yeah yeah, Now are you saying that you

284
00:17:35,400 --> 00:17:38,560
Speaker 1: don't like the lead singer from Bowling for Soup because

285
00:17:38,880 --> 00:17:43,160
Speaker 1: that's one of my favorite bands all time. No, I'm

286
00:17:43,320 --> 00:17:48,200
Speaker 1: I'm glad that he's getting those Chucky checks. I think

287
00:17:48,240 --> 00:17:51,360
Speaker 1: it's more just like they made Chucky so friendly when

288
00:17:51,359 --> 00:17:53,760
Speaker 1: he used to be a little hostile, and I kind

289
00:17:53,760 --> 00:17:55,840
Speaker 1: of liked when he was a little hostile. I don't

290
00:17:55,840 --> 00:17:58,880
Speaker 1: even remember when he was hostile, but I've watched so

291
00:17:58,920 --> 00:18:02,920
Speaker 1: many hours at a video out. Yeah. Anyways, Pasqually is

292
00:18:02,960 --> 00:18:06,119
Speaker 1: the best character. Did you see any Pasqually? No Pasqually,

293
00:18:07,040 --> 00:18:09,600
Speaker 1: I don't think so. I don't know who Pasqually is,

294
00:18:09,640 --> 00:18:11,879
Speaker 1: to be honest with you. He's the one human of

295
00:18:12,000 --> 00:18:15,720
Speaker 1: Chuck E Cheese. He's an Italian pizza chef, but he

296
00:18:15,760 --> 00:18:19,440
Speaker 1: also plays the drums. Oh okay, and he does stand

297
00:18:19,480 --> 00:18:23,880
Speaker 1: up common No, no pasquality that I saw at all. Unfortunately,

298
00:18:24,760 --> 00:18:27,880
Speaker 1: pizza is still very good. They are they have shifted

299
00:18:27,920 --> 00:18:31,280
Speaker 1: into a new thing where it's like very needy and

300
00:18:31,840 --> 00:18:36,560
Speaker 1: they like they open the chuck the announcement that Chuck

301
00:18:36,600 --> 00:18:39,280
Speaker 1: E Cheese is going to come out by like running

302
00:18:39,280 --> 00:18:44,080
Speaker 1: a siop where they're like attention, someone's car is parked

303
00:18:44,080 --> 00:18:46,520
Speaker 1: in the loading zone. They like read off a fake

304
00:18:47,000 --> 00:18:49,960
Speaker 1: license plate number. I thought it was real, but then

305
00:18:50,040 --> 00:18:53,920
Speaker 1: like they accidentally played the recording a second time and

306
00:18:54,880 --> 00:18:58,439
Speaker 1: it happened again, like twenty minutes later. So they just

307
00:18:58,680 --> 00:19:01,440
Speaker 1: have that as a thing that I think is designed

308
00:19:01,520 --> 00:19:04,000
Speaker 1: to get everyone's attention and get everyone to like shut

309
00:19:04,000 --> 00:19:06,720
Speaker 1: the fuck up so Chuck can do his thing. But

310
00:19:07,040 --> 00:19:12,920
Speaker 1: they the most noticeable kind of dissonance is between how

311
00:19:12,920 --> 00:19:16,440
Speaker 1: excited they want you to be for the arrival of

312
00:19:16,560 --> 00:19:19,120
Speaker 1: Chucky Cheese, the person in the Chuck E Cheese costume,

313
00:19:19,600 --> 00:19:24,159
Speaker 1: and how like uninterested everybody is in it, and no

314
00:19:24,960 --> 00:19:27,879
Speaker 1: kind of their knowledge that that is also the case,

315
00:19:28,320 --> 00:19:32,639
Speaker 1: Like the people who work there are just kind of like, yeah,

316
00:19:32,880 --> 00:19:35,520
Speaker 1: kind of going through the motions. Unfortunately, but it was

317
00:19:35,560 --> 00:19:38,480
Speaker 1: a blast. I do recommend a Chucky Cheese birthday party.

318
00:19:38,520 --> 00:19:41,760
Speaker 1: It's I wonder how much time we have left with

319
00:19:43,119 --> 00:19:46,880
Speaker 1: Chuck and friends. They seem to have reinvented themselves as

320
00:19:46,920 --> 00:19:49,240
Speaker 1: just like an arcade, which isn't a thing that really

321
00:19:49,280 --> 00:19:54,639
Speaker 1: exists in most places anymore, and so kids think kids

322
00:19:54,680 --> 00:19:58,240
Speaker 1: call like arcades, Chucky Cheeses and the and the five

323
00:19:58,320 --> 00:20:02,560
Speaker 1: year old set. So yeah, I think they've just I

324
00:20:02,600 --> 00:20:04,440
Speaker 1: think they did a smart thing. Got rid of the

325
00:20:04,480 --> 00:20:09,800
Speaker 1: ball pits, unfortunately with COVID, but yeah, it was the

326
00:20:09,840 --> 00:20:12,840
Speaker 1: easiest way to you would get so sick. It didn't.

327
00:20:13,320 --> 00:20:18,320
Speaker 1: Who knows how many diseases could be contracted, right, Yeah,

328
00:20:18,440 --> 00:20:22,000
Speaker 1: the balls at the bottom of the ball pit were presumed.

329
00:20:22,080 --> 00:20:23,880
Speaker 1: I hope that when they got rid of the ball pits,

330
00:20:23,880 --> 00:20:27,679
Speaker 1: those were donated to science, just to be like, what

331
00:20:27,680 --> 00:20:34,840
Speaker 1: what has been growing in here? Yeah there's new species? Yeah, absolutely, Alison.

332
00:20:35,200 --> 00:20:39,280
Speaker 1: What is something you think is underrated? I'm a very

333
00:20:39,400 --> 00:20:43,480
Speaker 1: picky eater, and something I've realized that I haven't been

334
00:20:43,520 --> 00:20:47,400
Speaker 1: eating enough of because it is delicious and lovely is melan.

335
00:20:48,040 --> 00:20:50,920
Speaker 1: I think melan has a really bad rap. A lot

336
00:20:50,960 --> 00:20:52,720
Speaker 1: of times when you're like, oh, I'll have a side

337
00:20:52,760 --> 00:20:54,600
Speaker 1: of fruit, people will be like, what kind of fruit?

338
00:20:54,600 --> 00:20:58,160
Speaker 1: And when people say melan, they go, oh, but good

339
00:20:58,240 --> 00:21:01,399
Speaker 1: melan is really love and it's harder to get. I

340
00:21:01,440 --> 00:21:04,240
Speaker 1: feel like gross melon, Like when I buy berries. Berries

341
00:21:04,240 --> 00:21:06,600
Speaker 1: are so expensive and then they're like moldy in one

342
00:21:06,720 --> 00:21:10,159
Speaker 1: day or like taste disgusting, where like you buy a

343
00:21:10,200 --> 00:21:14,080
Speaker 1: whole melon, you got fruit for days. Less chances that

344
00:21:14,160 --> 00:21:18,600
Speaker 1: will be horrifying a bad bite. So I'm really pro

345
00:21:18,760 --> 00:21:22,320
Speaker 1: melon over here is my new thing, and you just

346
00:21:24,320 --> 00:21:29,720
Speaker 1: you out, Yeah, they have for not much, leaving the

347
00:21:29,720 --> 00:21:33,520
Speaker 1: melon intact and then just like kind of chipping off

348
00:21:33,560 --> 00:21:36,399
Speaker 1: pieces as you go. Do you cut the whole melon

349
00:21:36,600 --> 00:21:39,880
Speaker 1: up and like just have it that way? Because yeah,

350
00:21:39,920 --> 00:21:43,439
Speaker 1: I do feel like melons. Melons have a better shelf

351
00:21:43,480 --> 00:21:47,800
Speaker 1: life than other like kind of fruit once you open them. Yeah.

352
00:21:47,880 --> 00:21:50,800
Speaker 1: I got all these half open bananas and they don't

353
00:21:50,880 --> 00:21:55,040
Speaker 1: last well at all. No, oh God, I think it's

354
00:21:55,160 --> 00:21:57,120
Speaker 1: I think something that gets in the way of melane

355
00:21:57,119 --> 00:22:00,000
Speaker 1: eat melon eating is that it seems like a lot

356
00:22:00,080 --> 00:22:03,320
Speaker 1: to work. But if you sort of go into and say, okay,

357
00:22:03,359 --> 00:22:06,040
Speaker 1: now I'm going to cut up my melon, you pre

358
00:22:06,160 --> 00:22:08,200
Speaker 1: cut it all up, then you have melon for days.

359
00:22:08,200 --> 00:22:12,240
Speaker 1: It's already ready to go. I like melon for day.

360
00:22:12,359 --> 00:22:18,280
Speaker 1: Is that that's enough to sell me on a melon? Yeah?

361
00:22:18,480 --> 00:22:21,800
Speaker 1: I can't remember the last time I bought a melon,

362
00:22:21,920 --> 00:22:23,960
Speaker 1: But I also I don't know, I can't remember really

363
00:22:24,000 --> 00:22:26,719
Speaker 1: the last time I brought I bought produce that was

364
00:22:26,800 --> 00:22:30,560
Speaker 1: like not disgusting. But that's what I'm saying that melon

365
00:22:30,720 --> 00:22:34,640
Speaker 1: is a way around disgusting produce and it's much more

366
00:22:34,760 --> 00:22:38,880
Speaker 1: for and it's affordable. Yeah, and great names for the melons,

367
00:22:38,960 --> 00:22:44,680
Speaker 1: cantaloup and honeydew, well named fruits. I have a lot

368
00:22:44,720 --> 00:22:51,639
Speaker 1: of pun possibilities. Are we including water in the melon family? Definitely?

369
00:22:52,000 --> 00:22:55,920
Speaker 1: Oh yeah, yeah, of course, Okay, okay, I'm just checking guys.

370
00:22:56,440 --> 00:23:00,240
Speaker 1: Of course, Jamie, did you not read the notes that

371
00:23:00,280 --> 00:23:03,040
Speaker 1: we got from the melon lobby that this is all

372
00:23:03,080 --> 00:23:05,879
Speaker 1: a way of pushing all melk make sure to read

373
00:23:06,000 --> 00:23:09,800
Speaker 1: the brand name next. Yeah, but I do think watermelon

374
00:23:09,880 --> 00:23:13,679
Speaker 1: has a good wreath, whereas honey Dew and Cantlope are

375
00:23:13,680 --> 00:23:16,840
Speaker 1: the real underrated all stars that need to be back

376
00:23:16,840 --> 00:23:21,600
Speaker 1: in the circulation. Hm. Absolutely, rap a little rap a

377
00:23:21,600 --> 00:23:26,160
Speaker 1: little ham around that ship. Oh so good. I don't

378
00:23:26,200 --> 00:23:28,760
Speaker 1: I don't think that's there's there's another word for it,

379
00:23:28,840 --> 00:23:35,919
Speaker 1: that for the ham that you're supposed to use. But yeah, yeah,

380
00:23:33,880 --> 00:23:37,800
Speaker 1: it's Do you guys have any ham melons that I

381
00:23:37,840 --> 00:23:42,160
Speaker 1: get order for my appet user? And they're like, wow,

382
00:23:42,240 --> 00:23:48,800
Speaker 1: this guy, this guy knows his culture cultural force over here.

383
00:23:49,240 --> 00:23:52,160
Speaker 1: All right, Uh, let's take a quick break and we'll

384
00:23:52,160 --> 00:23:58,480
Speaker 1: come back and we'll talk some COVID stuff. Cool. No, yes,

385
00:24:09,400 --> 00:24:15,840
Speaker 1: and we're back and they're there are two COVID stories

386
00:24:15,920 --> 00:24:20,480
Speaker 1: that seemed to be making the rounds from big mainstream

387
00:24:20,520 --> 00:24:24,879
Speaker 1: media institutions, The New York Times as well as the

388
00:24:25,160 --> 00:24:29,600
Speaker 1: Wall Street Journal and so so, first up last week

389
00:24:29,640 --> 00:24:33,840
Speaker 1: there was a story from Brett Stevenson, who's like their

390
00:24:34,240 --> 00:24:41,040
Speaker 1: tread Catholic columnist and has has said like wild shit

391
00:24:41,119 --> 00:24:45,080
Speaker 1: about like climate change and you know, just dismissing it

392
00:24:45,119 --> 00:24:47,560
Speaker 1: as like an activist thing. That's that's the thing that

393
00:24:47,600 --> 00:24:51,160
Speaker 1: I'm noticing more and more popular, and the mainstream is like, yeah,

394
00:24:51,359 --> 00:24:54,480
Speaker 1: and sure, climate activists will tell you that this is

395
00:24:54,520 --> 00:24:58,320
Speaker 1: something to be worried about. But this time he came

396
00:24:58,359 --> 00:25:04,000
Speaker 1: through with a story where he was he was quoting

397
00:25:04,000 --> 00:25:08,520
Speaker 1: a study from Oxford that it is basically like masks

398
00:25:09,000 --> 00:25:12,359
Speaker 1: don't really work, or we don't the study, like the

399
00:25:12,400 --> 00:25:14,439
Speaker 1: actual abstract of the study was like we don't have

400
00:25:14,520 --> 00:25:19,880
Speaker 1: evidence that masks work. And when people who understand how

401
00:25:19,880 --> 00:25:23,200
Speaker 1: studies work like dug into it, they were like, this

402
00:25:23,280 --> 00:25:27,040
Speaker 1: is a study that should basically be read as there

403
00:25:27,040 --> 00:25:31,200
Speaker 1: haven't been enough good mask studies essentially like that that

404
00:25:31,359 --> 00:25:34,600
Speaker 1: was the conclusion that that was drawn. But that's not

405
00:25:34,640 --> 00:25:39,080
Speaker 1: the tradcath read. That is not the tradcath read. He

406
00:25:39,080 --> 00:25:41,680
Speaker 1: he need to take that up with your boss, the Pope, Jack,

407
00:25:41,920 --> 00:25:45,720
Speaker 1: like this seems like a problem. It does, and yeah,

408
00:25:45,760 --> 00:25:48,840
Speaker 1: you know you but my quote is actually that if

409
00:25:48,880 --> 00:25:51,360
Speaker 1: if you have a problem with me, you can take

410
00:25:51,400 --> 00:25:54,160
Speaker 1: that up with my boss, the Pope. I don't take

411
00:25:54,200 --> 00:25:56,360
Speaker 1: things up with him. I'm actually scared of him, right,

412
00:25:56,440 --> 00:26:00,720
Speaker 1: but yes, like, yeah, just the details of the studies

413
00:26:00,840 --> 00:26:06,000
Speaker 1: are all examples where people like didn't have proper education

414
00:26:06,359 --> 00:26:09,080
Speaker 1: on them on like how to use them, or there

415
00:26:09,160 --> 00:26:11,680
Speaker 1: was like no way to guarantee that they were using

416
00:26:11,720 --> 00:26:15,600
Speaker 1: them with any sort of consistency and so like. Basically,

417
00:26:15,680 --> 00:26:20,080
Speaker 1: the two scientific sides of the conversation are like, masks

418
00:26:20,240 --> 00:26:24,080
Speaker 1: work when used correctly and consistently, but mask mandates don't

419
00:26:24,119 --> 00:26:29,200
Speaker 1: work because people don't actually like follow them versus masks work,

420
00:26:29,320 --> 00:26:31,960
Speaker 1: So of course there should be mandates when you're trying

421
00:26:31,960 --> 00:26:35,359
Speaker 1: to prevent the spread of disease. Like, there's never any

422
00:26:35,800 --> 00:26:40,680
Speaker 1: scientists who's coming out and being like, masks themselves never work,

423
00:26:40,920 --> 00:26:44,199
Speaker 1: and why are we even talking about this? But the

424
00:26:44,280 --> 00:26:46,800
Speaker 1: way he opens the article is there is just no

425
00:26:46,880 --> 00:26:52,560
Speaker 1: evidence that they masks make any difference, full stop. And

426
00:26:53,520 --> 00:26:57,240
Speaker 1: I don't know so wild. I'm getting a master's in

427
00:26:57,359 --> 00:27:01,120
Speaker 1: psychology and I'm right now I'm in my research class,

428
00:27:01,160 --> 00:27:04,639
Speaker 1: and so I couldn't be more prepared for this discussion.

429
00:27:05,400 --> 00:27:07,680
Speaker 1: You know, you going to these classes and you're like, oh,

430
00:27:07,800 --> 00:27:09,880
Speaker 1: why would I even need to understand how to read

431
00:27:09,920 --> 00:27:13,119
Speaker 1: a research study? Like, you know, but it's so true

432
00:27:13,160 --> 00:27:17,800
Speaker 1: that like when people like write these like click baity

433
00:27:18,040 --> 00:27:21,840
Speaker 1: articles off of these research studies, it's like they're pulling

434
00:27:21,880 --> 00:27:24,639
Speaker 1: the wrong thing. They don't even understand what the study

435
00:27:24,800 --> 00:27:28,320
Speaker 1: is saying. It's so easy to like trick people, But

436
00:27:28,440 --> 00:27:31,960
Speaker 1: this one feels like especially egregious, and that like the

437
00:27:32,040 --> 00:27:36,040
Speaker 1: study itself wasn't even making the claims that like, let

438
00:27:36,040 --> 00:27:39,600
Speaker 1: alone like that this guy's making, where like some studies

439
00:27:39,600 --> 00:27:41,520
Speaker 1: and themselves are just bad studies. And I think that

440
00:27:41,560 --> 00:27:43,680
Speaker 1: was another big thing is like we just haven't even

441
00:27:43,720 --> 00:27:46,359
Speaker 1: had enough good studies on masks. Like if anything, that

442
00:27:46,400 --> 00:27:49,359
Speaker 1: should just be this should prove that we need to

443
00:27:49,400 --> 00:27:52,080
Speaker 1: like spend more money researching masks so that people will

444
00:27:52,119 --> 00:27:54,520
Speaker 1: believe it. But I also feel like even if we

445
00:27:54,600 --> 00:27:56,639
Speaker 1: did those studies, people who don't want to believe in

446
00:27:56,680 --> 00:27:58,720
Speaker 1: masks would be like, well, those are the fake studies

447
00:27:59,600 --> 00:28:04,200
Speaker 1: right right, which I totally agree, is like complicated by

448
00:28:05,520 --> 00:28:09,639
Speaker 1: a sort of fundamental misunderstanding that like not all studies

449
00:28:09,680 --> 00:28:13,560
Speaker 1: are created equal, They're not all done as broadly and

450
00:28:14,040 --> 00:28:16,960
Speaker 1: how I don't know. I feel like sometimes when like

451
00:28:17,160 --> 00:28:19,919
Speaker 1: I'll go ahead and throw my own mother under the

452
00:28:19,960 --> 00:28:22,760
Speaker 1: bus in this case, like if my mom's coming to

453
00:28:22,800 --> 00:28:25,240
Speaker 1: me with like I saw a study, she'll talk about

454
00:28:25,240 --> 00:28:27,560
Speaker 1: it as if it's like from the University of good

455
00:28:27,600 --> 00:28:31,560
Speaker 1: and accurate science, like just like it was study, therefore

456
00:28:31,640 --> 00:28:36,280
Speaker 1: it must be true with which I did at one time. Also,

457
00:28:36,320 --> 00:28:38,040
Speaker 1: But then it's like the more you look into it's

458
00:28:38,040 --> 00:28:41,880
Speaker 1: like sometimes studies are paid for by people who want

459
00:28:41,920 --> 00:28:45,040
Speaker 1: certain results. The you know, control groups can vary and

460
00:28:45,120 --> 00:28:47,400
Speaker 1: just like all this other stuff that's like more common

461
00:28:47,480 --> 00:28:50,160
Speaker 1: knowledge now. But even so this is like such a

462
00:28:50,200 --> 00:28:53,560
Speaker 1: bad faith reading of a study that we don't even

463
00:28:53,560 --> 00:28:56,760
Speaker 1: know how like well it was conducted. So it's like

464
00:28:56,800 --> 00:28:59,520
Speaker 1: a hat on a hat issue, little pulpe hat on

465
00:28:59,560 --> 00:29:01,920
Speaker 1: a pulp had if you wouldah, And it wasn't even

466
00:29:01,920 --> 00:29:05,560
Speaker 1: a study about COVID, right, it was like done before COVID.

467
00:29:05,640 --> 00:29:08,040
Speaker 1: And yeah, a lot of the studies, a lot of

468
00:29:08,040 --> 00:29:11,400
Speaker 1: the studies that were in the thing were from before

469
00:29:11,480 --> 00:29:14,840
Speaker 1: COVID or like right as COVID was happening and people

470
00:29:14,840 --> 00:29:18,160
Speaker 1: didn't have like any education on how to wear masks

471
00:29:18,280 --> 00:29:22,600
Speaker 1: or like they gave a huge chunk of the population

472
00:29:22,960 --> 00:29:26,959
Speaker 1: of people like traveling to Mecca for the pilgrimage, like

473
00:29:27,240 --> 00:29:28,920
Speaker 1: a bunch of masks and then they were like and

474
00:29:29,480 --> 00:29:32,680
Speaker 1: they actually got COVID more than the other people. But

475
00:29:32,720 --> 00:29:36,360
Speaker 1: it was like they had no control, no understanding, no

476
00:29:36,440 --> 00:29:39,760
Speaker 1: insight into like whether they were wearing them, like if

477
00:29:39,800 --> 00:29:42,440
Speaker 1: they were wearing them the entire twenty four hours, which

478
00:29:42,520 --> 00:29:45,040
Speaker 1: presumably they were not, and it was like not at

479
00:29:45,040 --> 00:29:49,600
Speaker 1: a time when masking was particularly popular. So yeah, it

480
00:29:49,720 --> 00:29:53,800
Speaker 1: just it's a mess. It's like very complicated, and it

481
00:29:53,880 --> 00:29:57,280
Speaker 1: just feels like there is this push in the center

482
00:29:57,560 --> 00:30:01,040
Speaker 1: to like revise things so they're not complicated, and so

483
00:30:01,160 --> 00:30:06,400
Speaker 1: that the government was wrong and doing it too because

484
00:30:07,360 --> 00:30:12,520
Speaker 1: they were mean, because they they're just mean strict parents,

485
00:30:12,880 --> 00:30:15,320
Speaker 1: Like I don't know, I feel like they're working through

486
00:30:15,360 --> 00:30:18,600
Speaker 1: some issues or something. There's also just like this sense

487
00:30:18,640 --> 00:30:20,920
Speaker 1: of like, well, if something is not one hundred percent

488
00:30:20,960 --> 00:30:23,920
Speaker 1: effective all of the time, no matter how I do it,

489
00:30:24,120 --> 00:30:27,520
Speaker 1: then it's useless, right, Like it's like and you see

490
00:30:27,520 --> 00:30:30,360
Speaker 1: that with like vaccines and boosters and all this stuff,

491
00:30:30,400 --> 00:30:32,120
Speaker 1: where it's like, yeah, you know, it's not like when

492
00:30:32,160 --> 00:30:34,800
Speaker 1: you get in a car accident and you still get hurt,

493
00:30:34,880 --> 00:30:37,040
Speaker 1: but you were wearing your seat belt. You're not like, well,

494
00:30:37,080 --> 00:30:40,840
Speaker 1: I'm never gonna wear my seatbelt again, Like yeah, like

495
00:30:41,000 --> 00:30:43,280
Speaker 1: this expectation that like, well, if it doesn't work one

496
00:30:43,320 --> 00:30:46,920
Speaker 1: hundred percent, that it's totally made up and stuff like

497
00:30:46,960 --> 00:30:51,239
Speaker 1: this supports that when like any basic understanding of like

498
00:30:51,280 --> 00:30:57,120
Speaker 1: how germs are transmitted, masks are clearly doing something. Yeah,

499
00:30:57,680 --> 00:31:00,840
Speaker 1: the seat belt was a metaphor that like letter to

500
00:31:00,880 --> 00:31:04,640
Speaker 1: the editor used, like it was universally, like this article

501
00:31:04,800 --> 00:31:07,680
Speaker 1: was panned by scientists. They were like this is crazy

502
00:31:07,840 --> 00:31:10,280
Speaker 1: that but yeah, they were like, so should we stop

503
00:31:10,360 --> 00:31:13,280
Speaker 1: requiring like putting laws in place to wear seat belts

504
00:31:13,320 --> 00:31:17,920
Speaker 1: because sometimes people don't wear them properly and like get

505
00:31:18,000 --> 00:31:20,640
Speaker 1: hurt as a result of that, Which, Yeah, I think

506
00:31:20,640 --> 00:31:23,760
Speaker 1: that's a good metaphor. This is a minion shit, I mean,

507
00:31:23,800 --> 00:31:27,760
Speaker 1: and also it like it, I don't know, there's still

508
00:31:27,840 --> 00:31:30,560
Speaker 1: so many like I've seen a lot of im you know,

509
00:31:30,640 --> 00:31:35,120
Speaker 1: compromise people online being like I'm once again being bullied

510
00:31:35,160 --> 00:31:38,360
Speaker 1: for wearing a mask at the fucking airport, like yes,

511
00:31:38,680 --> 00:31:41,760
Speaker 1: for and this time it's like by people that probably

512
00:31:41,760 --> 00:31:44,600
Speaker 1: wouldn't have been doing that three years ago. It's really

513
00:31:44,640 --> 00:31:49,880
Speaker 1: really bizarre to see that kind of shift. Yeah, that

514
00:31:49,960 --> 00:31:53,560
Speaker 1: seems to be like the aggressive behavior we're seeing is

515
00:31:53,560 --> 00:31:55,800
Speaker 1: not people being like could you wear a mask? It's

516
00:31:55,920 --> 00:31:59,080
Speaker 1: like help, it's people getting mad at people wearing a mask.

517
00:31:59,120 --> 00:32:01,080
Speaker 1: And like, just in my personal life, like that's what

518
00:32:01,080 --> 00:32:02,680
Speaker 1: what I've seen is someone walk in and be like,

519
00:32:02,680 --> 00:32:05,320
Speaker 1: what the fuck we wearing masks? Huh? It's just like

520
00:32:06,040 --> 00:32:09,080
Speaker 1: like what, I just don't and like that. It's kind

521
00:32:09,080 --> 00:32:11,800
Speaker 1: of the same question I have for like a Brett

522
00:32:11,800 --> 00:32:16,120
Speaker 1: Stevenson or you know, any of these people who like

523
00:32:16,200 --> 00:32:21,680
Speaker 1: work for these big you know, centrist journalistic institutions, is like,

524
00:32:22,040 --> 00:32:26,200
Speaker 1: what do you think you're helping here by like trying

525
00:32:26,240 --> 00:32:30,360
Speaker 1: to shame people for having suggested like we know that

526
00:32:30,400 --> 00:32:35,360
Speaker 1: they help people sometimes, so like what exactly are is

527
00:32:35,440 --> 00:32:39,000
Speaker 1: your angle here? Is kind of right question that comes

528
00:32:39,080 --> 00:32:42,040
Speaker 1: up a lot. It just seems like annoyance. It's like

529
00:32:42,080 --> 00:32:45,240
Speaker 1: a way for people not to feel bad about their choices, right,

530
00:32:45,320 --> 00:32:47,920
Speaker 1: because if masks don't work, then I don't have to

531
00:32:47,960 --> 00:32:50,280
Speaker 1: feel bad that I'm not wearing a mask. And I

532
00:32:50,320 --> 00:32:54,080
Speaker 1: think that that's really been at least like you know,

533
00:32:54,720 --> 00:32:58,600
Speaker 1: my theory like seeing being like one of the last

534
00:32:58,600 --> 00:33:01,640
Speaker 1: people I know that's still mad masks, even though I'm

535
00:33:01,680 --> 00:33:05,440
Speaker 1: surrounded by liberal minded people, people who took COVID very

536
00:33:05,480 --> 00:33:07,720
Speaker 1: seriously at the beginning, to see them all sort of

537
00:33:07,800 --> 00:33:10,719
Speaker 1: drop off on wearing masks, and I think it is

538
00:33:10,720 --> 00:33:15,400
Speaker 1: like almost this exhaustion of like I can no longer

539
00:33:15,760 --> 00:33:18,720
Speaker 1: mentally tolerate the idea that I need to mask or

540
00:33:18,760 --> 00:33:21,640
Speaker 1: that COVID is still real, and therefore I'm going to

541
00:33:21,960 --> 00:33:24,560
Speaker 1: I have to believe that it's not, so then I

542
00:33:24,600 --> 00:33:29,720
Speaker 1: won't do things that like are scientifically proven to help. Yeah,

543
00:33:29,760 --> 00:33:35,880
Speaker 1: this article was written because audiences want it to be true, essentially. Yeah. Yeah.

544
00:33:35,960 --> 00:33:39,400
Speaker 1: There's also a Wall Street Journal article that was like,

545
00:33:39,640 --> 00:33:44,960
Speaker 1: we now believe that COVID was like leaked by a

546
00:33:45,080 --> 00:33:48,280
Speaker 1: lab and wuhan and didn't come from the wet market.

547
00:33:48,720 --> 00:33:52,920
Speaker 1: And it really like the headline really seemed to indicate

548
00:33:52,920 --> 00:33:55,760
Speaker 1: that this was like settled, and then all of the

549
00:33:55,840 --> 00:33:58,920
Speaker 1: follow ups are like, this is still like an active

550
00:33:58,960 --> 00:34:03,520
Speaker 1: debate where most of the evidence suggests like the actual

551
00:34:03,880 --> 00:34:08,120
Speaker 1: like the normal version of events that we got was

552
00:34:08,280 --> 00:34:10,920
Speaker 1: the right one, Like all the early cases seemed to

553
00:34:11,000 --> 00:34:14,840
Speaker 1: cluster around this wet market. And yes, there is a

554
00:34:14,960 --> 00:34:18,799
Speaker 1: lab that would be a candidate for like leaking this

555
00:34:18,880 --> 00:34:22,920
Speaker 1: sort of thing in Wuhan, But that doesn't mean that

556
00:34:23,080 --> 00:34:26,759
Speaker 1: it happened that way. And even and like the Wall

557
00:34:26,760 --> 00:34:29,560
Speaker 1: Street Journal headline made it seem like this is settled,

558
00:34:29,640 --> 00:34:33,320
Speaker 1: but then the report again that they were talking about

559
00:34:33,960 --> 00:34:36,960
Speaker 1: like was they were like, we suspect this with a

560
00:34:37,120 --> 00:34:42,239
Speaker 1: very low level of certainty. It just gets filtered back

561
00:34:42,280 --> 00:34:47,160
Speaker 1: to being yeah, we we figured it out. Racists were right. Well,

562
00:34:47,160 --> 00:34:48,719
Speaker 1: it was like, it's like, and for those of us

563
00:34:48,760 --> 00:34:53,160
Speaker 1: with brains that are so tiny, what is the ideological

564
00:34:53,280 --> 00:34:56,879
Speaker 1: advantage of this being true versus the wet market can

565
00:34:56,920 --> 00:35:04,319
Speaker 1: blame China? Yeah, okay, just confermo. Yeah, so that's what

566
00:35:04,320 --> 00:35:07,520
Speaker 1: the Wall Street Journal is going to do today. Cool? Yeah,

567
00:35:07,640 --> 00:35:10,920
Speaker 1: yeah that it was like China was working on this

568
00:35:11,040 --> 00:35:13,360
Speaker 1: virus that got out of their lab, and so it

569
00:35:13,440 --> 00:35:16,279
Speaker 1: can one hundred percent put the blame on them, and

570
00:35:16,880 --> 00:35:20,800
Speaker 1: like their massive cover up of what happened. It's interesting

571
00:35:20,800 --> 00:35:23,319
Speaker 1: because the story keeps coming back, right, like we had

572
00:35:23,360 --> 00:35:26,000
Speaker 1: the Vanity Fair article a few months ago, and now

573
00:35:26,040 --> 00:35:29,799
Speaker 1: it's like getting on Wall Street Journal, and it is

574
00:35:29,840 --> 00:35:34,080
Speaker 1: this interesting thing of like if it ends up being true,

575
00:35:34,760 --> 00:35:38,480
Speaker 1: I'm very scared, Like I don't want it to be true,

576
00:35:38,760 --> 00:35:41,040
Speaker 1: because then I think it will just lead to so

577
00:35:41,160 --> 00:35:47,839
Speaker 1: much like racism and anti Asian hate and like strange relations,

578
00:35:47,960 --> 00:35:51,640
Speaker 1: and like I much prefer that it just like was

579
00:35:51,680 --> 00:35:54,480
Speaker 1: transferred from animals to humans at a wet market, like

580
00:35:54,520 --> 00:35:58,799
Speaker 1: that feels like, you know. But then I'm sometimes like, oh, well,

581
00:35:58,800 --> 00:36:01,359
Speaker 1: do I have to like allow for the possibility that

582
00:36:01,440 --> 00:36:05,120
Speaker 1: this could be true since all these major news organizations

583
00:36:05,239 --> 00:36:09,480
Speaker 1: keep talking about it, right, But like they keep talking

584
00:36:09,520 --> 00:36:12,400
Speaker 1: about it, but they have yet to prove it in

585
00:36:12,440 --> 00:36:16,719
Speaker 1: any definitive way, right, like with the same level of

586
00:36:17,160 --> 00:36:23,359
Speaker 1: accusatory like baselessness that they did three years ago. Yeah. Yeah,

587
00:36:23,400 --> 00:36:26,560
Speaker 1: And I mean like when you look at what scientists

588
00:36:26,600 --> 00:36:31,440
Speaker 1: were warning about and like before COVID happened, like they

589
00:36:31,480 --> 00:36:34,799
Speaker 1: were all about, like, yeah, this zoological like the leap

590
00:36:34,920 --> 00:36:37,360
Speaker 1: from animals to humans is the most likely way that

591
00:36:37,400 --> 00:36:40,359
Speaker 1: this is going to happen. And but when you look

592
00:36:40,400 --> 00:36:43,239
Speaker 1: at like how how it happens. Usually in like movies

593
00:36:43,320 --> 00:36:46,680
Speaker 1: like Twelve Monkeys or something like it's it's a science

594
00:36:46,680 --> 00:36:49,880
Speaker 1: like an evil scientist wanting to hurt people, And so

595
00:36:49,920 --> 00:36:53,200
Speaker 1: I feel like there's something about that version of events

596
00:36:53,320 --> 00:36:56,960
Speaker 1: that is just like I don't know, like more narratively appealing,

597
00:36:57,200 --> 00:37:00,880
Speaker 1: and the right is trying to like hapitalize on that

598
00:37:01,000 --> 00:37:06,480
Speaker 1: to drive up the racism industry. I don't know. Well,

599
00:37:06,480 --> 00:37:09,239
Speaker 1: then it's also feels more preventable in the future, right

600
00:37:09,280 --> 00:37:11,759
Speaker 1: if it was just like this lab leak from a

601
00:37:11,800 --> 00:37:16,120
Speaker 1: foreign government versus true, these diseases passed from animals to

602
00:37:16,239 --> 00:37:19,360
Speaker 1: humans kind of naturally, and that's something that can keep happening.

603
00:37:19,880 --> 00:37:22,200
Speaker 1: It again, is like a way to like feel safer

604
00:37:22,840 --> 00:37:27,000
Speaker 1: or something, and then kind of tying it all together

605
00:37:27,080 --> 00:37:32,080
Speaker 1: and the pop culture realm Woody Harrelson's SNL monologue was

606
00:37:32,200 --> 00:37:39,200
Speaker 1: this weird rambling anecdote with a punchline that was basically

607
00:37:39,239 --> 00:37:43,800
Speaker 1: just like the vaccine. So he was like the biggest

608
00:37:43,920 --> 00:37:46,839
Speaker 1: drug cartel. He was like, imagine a world or he said,

609
00:37:46,840 --> 00:37:49,120
Speaker 1: I have a script where the biggest drug cartel in

610
00:37:49,160 --> 00:37:51,120
Speaker 1: the world get together and buy up all the media

611
00:37:51,160 --> 00:37:53,200
Speaker 1: and all the politicians and force all the people in

612
00:37:53,239 --> 00:37:55,720
Speaker 1: the world to stay locked in their homes and people

613
00:37:55,760 --> 00:37:58,280
Speaker 1: can only come out if they take the cartel's drugs

614
00:37:58,280 --> 00:38:01,440
Speaker 1: and keep them keep taking them over and over. Who's

615
00:38:01,480 --> 00:38:06,280
Speaker 1: gonna believe that crazy idea. Yeah, he also called himself

616
00:38:06,280 --> 00:38:10,440
Speaker 1: a Marxist while he was like doing this, which Brett,

617
00:38:10,480 --> 00:38:12,160
Speaker 1: that's like, I mean, I guess I don't know. I

618
00:38:12,480 --> 00:38:15,920
Speaker 1: don't know much about the politics of Woody Harrelson, and

619
00:38:16,000 --> 00:38:21,000
Speaker 1: I stand by not knowing that that's a strong decision.

620
00:38:21,160 --> 00:38:24,120
Speaker 1: That is such like lazy word salad. That again, it's

621
00:38:24,120 --> 00:38:26,600
Speaker 1: just like that's just like not someone you expect to

622
00:38:26,719 --> 00:38:31,279
Speaker 1: hear that kind of bullshit from. Yeah, very bizarre. The

623
00:38:31,320 --> 00:38:34,160
Speaker 1: whole monologue. I was like, who approved this, Like who

624
00:38:34,200 --> 00:38:36,680
Speaker 1: wrote this and approved it? Like what did he just

625
00:38:36,760 --> 00:38:40,400
Speaker 1: go rogue? It was like so kind of like stumbling

626
00:38:40,520 --> 00:38:43,799
Speaker 1: and strange and yeah, I mean, and then Elon Musk

627
00:38:43,920 --> 00:38:46,880
Speaker 1: being like this was a great monologue. That's like that

628
00:38:47,040 --> 00:38:48,640
Speaker 1: to me is like just like if you had any

629
00:38:48,680 --> 00:38:54,360
Speaker 1: doubt about whether it sucked, right, that's the new fear.

630
00:38:54,480 --> 00:38:57,000
Speaker 1: I feel like it's like if Elon Musk will approve

631
00:38:57,040 --> 00:38:59,560
Speaker 1: of what you've done, you're like no, no, no no, no,

632
00:38:59,560 --> 00:39:03,759
Speaker 1: no no. I wanted so much more from him after

633
00:39:03,800 --> 00:39:06,040
Speaker 1: I saw a triangle of sadness when he was like

634
00:39:06,080 --> 00:39:11,359
Speaker 1: a socialist boat captain who just like right, who like

635
00:39:11,719 --> 00:39:15,359
Speaker 1: has like coherent perspectives, but of course in America, Like

636
00:39:15,840 --> 00:39:18,799
Speaker 1: it's going to be more like somebody who's you know,

637
00:39:19,120 --> 00:39:22,400
Speaker 1: listened to too many episodes of Joe Rogan and it

638
00:39:22,680 --> 00:39:26,000
Speaker 1: thinks that that makes him like a freethinker. But yeah.

639
00:39:26,080 --> 00:39:29,080
Speaker 1: He has previously posted about the theory that five G

640
00:39:29,440 --> 00:39:33,279
Speaker 1: is exacerbating the COVID outbreak, and once signed up to

641
00:39:33,320 --> 00:39:36,040
Speaker 1: co star in a movie that was just like Twelve

642
00:39:36,080 --> 00:39:38,960
Speaker 1: Angry Men but made by nine to eleven Truthers. So

643
00:39:41,520 --> 00:39:44,080
Speaker 1: he yeah, like I had the same reaction where I

644
00:39:44,120 --> 00:39:46,520
Speaker 1: was like, not Woody, and it's like, oh, he's been

645
00:39:47,680 --> 00:39:52,960
Speaker 1: wood He's been Harold, Haroldsonning, He's been Harold. His brain's

646
00:39:52,960 --> 00:39:56,040
Speaker 1: been boiling in that in that big old head. Yeah,

647
00:39:56,080 --> 00:40:00,920
Speaker 1: well that's a damn shame. Yeah. Also, the oh Man

648
00:40:01,080 --> 00:40:04,160
Speaker 1: twelve Angry Men by nine to eleven Truthers does sound

649
00:40:04,200 --> 00:40:10,680
Speaker 1: like a really solid thirty rock fake thing. Absolutely the

650
00:40:10,680 --> 00:40:13,879
Speaker 1: world has turned into thirty rock. Also, his dad is

651
00:40:14,000 --> 00:40:17,560
Speaker 1: one of the suspects in the JFK assassinment, like in

652
00:40:17,560 --> 00:40:21,200
Speaker 1: a bunch of JFK assassination really theories. Yeah, this is

653
00:40:21,239 --> 00:40:25,920
Speaker 1: why his dad like murdered a very famous judge. Yeah, Um,

654
00:40:26,040 --> 00:40:29,600
Speaker 1: which is like a whole nother Banana's backstory to Woody

655
00:40:29,680 --> 00:40:35,520
Speaker 1: Harolds Woody Harrolson is murder, nepotism. Yeah, yeah, that's right,

656
00:40:35,600 --> 00:40:41,600
Speaker 1: wild wow. Yeah, I'm confused and I feel lost. Yeah,

657
00:40:41,640 --> 00:40:45,279
Speaker 1: I mean, I don't know, but I do think that

658
00:40:45,320 --> 00:40:49,359
Speaker 1: there is just an overall movement towards the right, like

659
00:40:49,560 --> 00:40:54,719
Speaker 1: that's happening in the mainstream culture, because the American like

660
00:40:54,920 --> 00:40:59,719
Speaker 1: media and like the American sort of central ethos like

661
00:41:00,080 --> 00:41:05,759
Speaker 1: Jack's socialism as a as anything serious, anything that could

662
00:41:05,800 --> 00:41:09,080
Speaker 1: be taken seriously, and so the other option is like

663
00:41:10,000 --> 00:41:13,240
Speaker 1: leaning towards the right and like slowly moving everything towards

664
00:41:13,239 --> 00:41:15,960
Speaker 1: the right. And so it just feels like people are

665
00:41:15,960 --> 00:41:19,439
Speaker 1: still like man, Trump, Trump's an idiot, right, but they're

666
00:41:20,280 --> 00:41:22,960
Speaker 1: just these like tiny like baby steps that are being

667
00:41:23,000 --> 00:41:25,520
Speaker 1: taken by what is supposed to be the center. And

668
00:41:25,560 --> 00:41:30,640
Speaker 1: it's a fucking bummer. But I think probably is where

669
00:41:30,680 --> 00:41:34,719
Speaker 1: things are headed more and more. Unfortunately. I wonder, like

670
00:41:34,880 --> 00:41:36,920
Speaker 1: on the set of Saturday Night Live, if there was

671
00:41:36,920 --> 00:41:39,799
Speaker 1: like pushback that this was going to be their monologue,

672
00:41:39,840 --> 00:41:42,200
Speaker 1: you know, like, how does the cast and writers feel

673
00:41:42,239 --> 00:41:46,160
Speaker 1: about that that this show is becoming more moderated to

674
00:41:46,200 --> 00:41:49,839
Speaker 1: the right and everything. Yeah, given the makeup of that room.

675
00:41:49,880 --> 00:41:52,239
Speaker 1: I would assume that there is, but I don't really

676
00:41:52,280 --> 00:41:55,600
Speaker 1: know where like the buck stops in that situation. Like

677
00:41:55,680 --> 00:41:59,360
Speaker 1: Pedro Pescal's monologue from a couple of weeks ago was

678
00:41:59,440 --> 00:42:03,080
Speaker 1: clearly him just like telling a story that he tells

679
00:42:03,080 --> 00:42:07,040
Speaker 1: to people because like it's charming in person, and like

680
00:42:07,120 --> 00:42:09,760
Speaker 1: it's just like famous people tell them. They're like famous

681
00:42:09,760 --> 00:42:12,560
Speaker 1: people stories that everyone's charmed by. And so I wonder,

682
00:42:12,600 --> 00:42:15,520
Speaker 1: like if that is a genre of like monologue that

683
00:42:15,600 --> 00:42:18,160
Speaker 1: they have of just like just let wood he get

684
00:42:18,239 --> 00:42:21,719
Speaker 1: up there and do his thing. In this case, it

685
00:42:21,840 --> 00:42:26,640
Speaker 1: was ill advised, but the studio audience was like, huh,

686
00:42:27,000 --> 00:42:31,040
Speaker 1: Like even though there's like a giant sign that's like

687
00:42:31,120 --> 00:42:34,120
Speaker 1: clap laugh, like blasting them in the face, you know,

688
00:42:34,400 --> 00:42:39,120
Speaker 1: they were still kind of like the will When there

689
00:42:39,160 --> 00:42:41,600
Speaker 1: was ever a punchline, you could tell there was just

690
00:42:41,640 --> 00:42:44,720
Speaker 1: like relief from the audience. Yeah, but that's like, okay,

691
00:42:45,000 --> 00:42:48,000
Speaker 1: this is I'm meant to laugh here. Because he didn't

692
00:42:48,040 --> 00:42:50,080
Speaker 1: sort of know what to do with the rest of it.

693
00:42:50,200 --> 00:42:52,360
Speaker 1: It's like and I still smoke weed though, and everyone

694
00:42:52,480 --> 00:42:59,799
Speaker 1: like yeah, yes, that is what kind of cultural right.

695
00:43:00,600 --> 00:43:02,960
Speaker 1: All right, let's take a quick break we'll come back.

696
00:43:03,000 --> 00:43:06,120
Speaker 1: We'll talk a little Cocaine Bear. We'll be right back

697
00:43:16,719 --> 00:43:23,320
Speaker 1: and we're back. And so Cocaine Bear came out last weekend.

698
00:43:23,640 --> 00:43:25,759
Speaker 1: I think it did pretty well. I actually don't know.

699
00:43:26,160 --> 00:43:29,719
Speaker 1: I usually yeah, it came out. It did like did

700
00:43:29,800 --> 00:43:35,880
Speaker 1: well right behind Aunt Man seven or whatever, right, the

701
00:43:35,880 --> 00:43:38,600
Speaker 1: one that like made everybody just be like, I don't know, man,

702
00:43:38,640 --> 00:43:41,480
Speaker 1: I'm out. Yeah. We always think it's the one that

703
00:43:41,680 --> 00:43:43,680
Speaker 1: says it makes people say I don't know man, it

704
00:43:43,840 --> 00:43:45,920
Speaker 1: I'm out. But then they're like, well, it made a

705
00:43:45,960 --> 00:43:49,040
Speaker 1: billion dollars, so yeah, you have to watch seven more.

706
00:43:49,760 --> 00:43:52,600
Speaker 1: It is doing pretty well. Yeah, so Cocaine Barry debuted

707
00:43:52,640 --> 00:43:57,919
Speaker 1: with twenty three million, So that's that's pretty good. It's

708
00:43:58,080 --> 00:44:01,560
Speaker 1: like it seems like it's escaped the Snakes on a

709
00:44:01,640 --> 00:44:04,719
Speaker 1: Plane curse, where it's like if the Internet loves the

710
00:44:04,760 --> 00:44:06,600
Speaker 1: thing and says they're gonna go see a movie, they

711
00:44:06,640 --> 00:44:10,319
Speaker 1: actually won't so you can just ignore it. Seems like

712
00:44:10,360 --> 00:44:12,640
Speaker 1: they kind of got this one right by just making

713
00:44:12,640 --> 00:44:15,800
Speaker 1: it super fun. So I still haven't seen it. Jam

714
00:44:16,200 --> 00:44:21,879
Speaker 1: a writer saw it, and yeah, so first of all,

715
00:44:22,280 --> 00:44:25,600
Speaker 1: I do just want to continue with So JM argues

716
00:44:25,680 --> 00:44:28,719
Speaker 1: that this whole thing is a metaphor for COVID and

717
00:44:28,840 --> 00:44:31,640
Speaker 1: like the uncertainty around that and just like a thing

718
00:44:31,719 --> 00:44:35,160
Speaker 1: happening that like our brains can't make sense of. I also,

719
00:44:35,239 --> 00:44:39,120
Speaker 1: just so the Wall Street Journal, not to keep picking

720
00:44:39,200 --> 00:44:44,600
Speaker 1: on the Journal here, but they dropped a story on people,

721
00:44:44,920 --> 00:44:47,680
Speaker 1: like an alert that was like the true story behind

722
00:44:47,719 --> 00:44:51,160
Speaker 1: Cocaine Bears, even crazier than the movie, which is a

723
00:44:51,239 --> 00:44:54,080
Speaker 1: movie in which a bear and just a bunch of

724
00:44:54,120 --> 00:45:03,040
Speaker 1: cocaine and gets superpowers. Like what was what was wilder

725
00:45:03,080 --> 00:45:08,920
Speaker 1: about it? According to The Wall Street It's their explanation

726
00:45:09,000 --> 00:45:11,960
Speaker 1: was that like an an ad guy mate, they were

727
00:45:12,000 --> 00:45:15,440
Speaker 1: like that. So part of the backstories that they have

728
00:45:15,560 --> 00:45:21,320
Speaker 1: the actual cocaine bear at this Lexanan Kentucky museum, the Lexanan,

729
00:45:21,440 --> 00:45:26,080
Speaker 1: Kentucky's fun Mall, which is an intriguing place having fun

730
00:45:26,120 --> 00:45:29,759
Speaker 1: and is very smart marketing. Yeah, just a fun mall.

731
00:45:30,640 --> 00:45:34,240
Speaker 1: Hopefully not a yeah, hopefully not a promised that backfires.

732
00:45:36,040 --> 00:45:38,880
Speaker 1: So it's just made up by some ad executives like that.

733
00:45:39,200 --> 00:45:41,480
Speaker 1: So there was a bunch of cocaine drop from a

734
00:45:41,520 --> 00:45:44,560
Speaker 1: plane in Georgia. They found the cocaine and a bear

735
00:45:44,719 --> 00:45:46,680
Speaker 1: next to it that had eaten some of the cocaine,

736
00:45:46,880 --> 00:45:50,560
Speaker 1: and that is the extent of the story. And then

737
00:45:51,000 --> 00:45:55,680
Speaker 1: two Kentucky ad execs were like, wouldn't it be funny

738
00:45:55,719 --> 00:45:59,560
Speaker 1: if we took this taxidermy bear that we have and

739
00:45:59,680 --> 00:46:01,759
Speaker 1: put it in our thing instead it was Cocaine Bear.

740
00:46:02,360 --> 00:46:05,440
Speaker 1: And that is the story that the Wall Street Journal

741
00:46:05,520 --> 00:46:09,920
Speaker 1: claimed is crazier than a bear actually ingesting pounds of

742
00:46:09,920 --> 00:46:13,440
Speaker 1: cocaine and getting superpowers. I mean the Wall Street Journal,

743
00:46:14,239 --> 00:46:18,120
Speaker 1: in addition to having a lot of bad journalism, they're

744
00:46:18,160 --> 00:46:20,560
Speaker 1: also just fucking dorks. So of course they would think

745
00:46:20,600 --> 00:46:23,000
Speaker 1: this boring ass story is more interesting than the plot

746
00:46:23,040 --> 00:46:27,000
Speaker 1: of Cocaine Bear. Yeah, I do. I do think that

747
00:46:27,040 --> 00:46:31,480
Speaker 1: this um, this bear taxidermy in Kentucky is fun. It's

748
00:46:31,480 --> 00:46:36,640
Speaker 1: wearing a little hat and yea a red gold chain,

749
00:46:36,800 --> 00:46:39,640
Speaker 1: which is fun. Something that has changed about me recently

750
00:46:39,680 --> 00:46:42,799
Speaker 1: is that I'm really into like seeing taxidermy in a

751
00:46:42,800 --> 00:46:45,719
Speaker 1: public place. I'm like very ready for it as long

752
00:46:45,760 --> 00:46:48,120
Speaker 1: as it was like, as long as it was ethically done.

753
00:46:48,640 --> 00:46:51,920
Speaker 1: And I do ask every mall manager and every airport

754
00:46:52,000 --> 00:46:54,960
Speaker 1: manager that has but I've been to a couple airports

755
00:46:54,960 --> 00:46:58,000
Speaker 1: recently that have taxidermy there, and uh, I like it

756
00:46:58,200 --> 00:47:01,319
Speaker 1: and I took a taxidermy class myself and I liked

757
00:47:01,360 --> 00:47:06,560
Speaker 1: it is fun. Wow, what a turn for you think

758
00:47:06,680 --> 00:47:09,920
Speaker 1: different finding a bear that overdosed on cocaine in the

759
00:47:09,960 --> 00:47:14,040
Speaker 1: woods and then stuffing it. Is that ethical? Well, it's

760
00:47:14,120 --> 00:47:16,480
Speaker 1: like more depends on like what species the bear was.

761
00:47:16,520 --> 00:47:18,080
Speaker 1: There's like a bunch of time I've read a lot

762
00:47:18,080 --> 00:47:21,640
Speaker 1: about taxidermyla. It depends on like what species of the

763
00:47:21,640 --> 00:47:24,880
Speaker 1: bear was. As long as it wasn't you know, killed

764
00:47:24,920 --> 00:47:27,800
Speaker 1: to be stuffed. That's obviously like the biggest ethical issue.

765
00:47:28,080 --> 00:47:31,080
Speaker 1: But if it died as natural causes or even cocaine causes,

766
00:47:31,120 --> 00:47:34,319
Speaker 1: it just really can't be taxidermy causes that I think

767
00:47:34,320 --> 00:47:36,759
Speaker 1: taxidermay just like freaks a lot of people out, which

768
00:47:36,880 --> 00:47:39,960
Speaker 1: is understandable, and you obviously shouldn't kill an animal specifically

769
00:47:40,000 --> 00:47:44,600
Speaker 1: to stuff it, right, But you know, cocaine bear lives

770
00:47:44,640 --> 00:47:47,399
Speaker 1: on in a way in the fun mall question mark.

771
00:47:47,760 --> 00:47:51,399
Speaker 1: Maybe better places for it, but maybe not. That's fine.

772
00:47:52,480 --> 00:47:57,799
Speaker 1: I'm open to being taxidermy, Okay, any particular airport that

773
00:47:57,880 --> 00:48:01,000
Speaker 1: you want to see yourself displayed that I think Logan

774
00:48:01,040 --> 00:48:04,879
Speaker 1: International and the Jet Blue terminal would be good. Oh

775
00:48:04,960 --> 00:48:08,359
Speaker 1: you had that answer? Ready to go near the legal

776
00:48:08,360 --> 00:48:14,680
Speaker 1: sea foods if possible. And what would the display like,

777
00:48:14,680 --> 00:48:16,919
Speaker 1: what would be happening and during the display, like what

778
00:48:16,960 --> 00:48:20,000
Speaker 1: would you be teaching? Would you be podcasting? Would you

779
00:48:20,040 --> 00:48:23,800
Speaker 1: be No, I think it's pretty similar to cacaine. Yeah,

780
00:48:23,840 --> 00:48:25,600
Speaker 1: I would be. Yeah, I'd be wearing a hat and

781
00:48:25,680 --> 00:48:31,719
Speaker 1: a gold chain. Yeahs look like someone who partied too hard. Yeah, yeah, exactly.

782
00:48:32,200 --> 00:48:35,680
Speaker 1: I'd like to really get a retroactive party girl personality

783
00:48:36,080 --> 00:48:41,160
Speaker 1: when I die. Yeah, that is fun. Yeah. Elizabeth Banks

784
00:48:41,160 --> 00:48:43,040
Speaker 1: has said that she responded to the script because she

785
00:48:43,080 --> 00:48:45,440
Speaker 1: read it at the beginning of So Elizabeth Banks is

786
00:48:45,440 --> 00:48:48,040
Speaker 1: the director, and she read the script at the beginning

787
00:48:48,040 --> 00:48:50,480
Speaker 1: of the pandemic and thought that quote there was no

788
00:48:50,560 --> 00:48:52,840
Speaker 1: greater metaphor for the chaos that we were all feeling

789
00:48:52,840 --> 00:48:56,000
Speaker 1: in twenty twenty than a bear high on cocaine, which

790
00:48:56,560 --> 00:49:00,600
Speaker 1: I like, I do think that this has to happen. Right.

791
00:49:00,680 --> 00:49:07,600
Speaker 1: We've been talking about how like during the Iraq War,

792
00:49:07,680 --> 00:49:10,640
Speaker 1: the Second Iraq War, like nobody was really seeing movies

793
00:49:10,680 --> 00:49:13,000
Speaker 1: about the Iraq War, but like everybody was watching like

794
00:49:13,040 --> 00:49:16,960
Speaker 1: these torture porn movies and then like fast zombie movies

795
00:49:17,760 --> 00:49:21,840
Speaker 1: and like that. So I don't know if like drug

796
00:49:22,120 --> 00:49:27,040
Speaker 1: crazed animal is going to be the next like version

797
00:49:27,080 --> 00:49:30,799
Speaker 1: of that that we use to like deal with our complicated,

798
00:49:31,000 --> 00:49:35,880
Speaker 1: unacknowledged angst around the pandemic. But there seems to be

799
00:49:35,920 --> 00:49:37,799
Speaker 1: like an argument for it. I don't. I think I'm

800
00:49:37,800 --> 00:49:40,160
Speaker 1: gonna have to see the movie to fully understand, like

801
00:49:40,320 --> 00:49:44,880
Speaker 1: what what exactly it is about it that is evoking COVID.

802
00:49:45,239 --> 00:49:50,279
Speaker 1: But I think it's like the unpredictability, Like I've never

803
00:49:50,320 --> 00:49:52,719
Speaker 1: dealt with a bear on cocaine before. What what do

804
00:49:52,800 --> 00:49:56,719
Speaker 1: I do to protect myself? Right? Yeah? Yeah? Do you

805
00:49:56,800 --> 00:49:59,759
Speaker 1: run away? Do you lie down? Like if you climb

806
00:49:59,800 --> 00:50:02,399
Speaker 1: a t tree? Like bears can't climb trees? Right? Oh

807
00:50:02,440 --> 00:50:06,960
Speaker 1: wait when they're on cocaine, they actually can according to

808
00:50:06,960 --> 00:50:10,200
Speaker 1: this movie. But the I mean in real life, the

809
00:50:10,239 --> 00:50:13,120
Speaker 1: bear just immediately died. It seems just died. Yeah, it

810
00:50:13,200 --> 00:50:16,800
Speaker 1: was really sad, I know. Yeah. I would also watch

811
00:50:16,840 --> 00:50:19,600
Speaker 1: the sun Dance Sleeper hit about the bear that eats

812
00:50:19,600 --> 00:50:23,920
Speaker 1: cocaine and just dies sadly. Right, it's more of a

813
00:50:24,000 --> 00:50:29,960
Speaker 1: family drama. U. I honestly, I haven't seen it yet.

814
00:50:30,000 --> 00:50:32,000
Speaker 1: I'm gonna see it this week, but I don't know

815
00:50:32,080 --> 00:50:35,560
Speaker 1: like I this movie and a couple of different movies

816
00:50:35,560 --> 00:50:39,239
Speaker 1: that have done well recently. Just I feel like it's

817
00:50:39,239 --> 00:50:43,040
Speaker 1: like these feel like depression movies. Basically, we're like movies

818
00:50:43,080 --> 00:50:46,879
Speaker 1: that don't have anything to do with anything really and

819
00:50:47,040 --> 00:50:50,600
Speaker 1: they're just like fun and distracting and they're just like

820
00:50:51,480 --> 00:50:55,000
Speaker 1: big goofy movies that are about whatever. Like I felt

821
00:50:55,000 --> 00:50:57,359
Speaker 1: the same way about Like, And that's not to say

822
00:50:57,400 --> 00:51:00,279
Speaker 1: that that genre of movie can't be saying some thing,

823
00:51:00,320 --> 00:51:03,919
Speaker 1: and like I take Elizabeth's Banks at her word there,

824
00:51:04,200 --> 00:51:06,520
Speaker 1: but it's like the same thing with like Megan like

825
00:51:06,680 --> 00:51:10,080
Speaker 1: did incredibly well recently, and like that does have like

826
00:51:10,560 --> 00:51:14,480
Speaker 1: some commentary, but it's mostly just like I want to

827
00:51:14,480 --> 00:51:17,640
Speaker 1: see the robot dance and kill someone in an elevator

828
00:51:17,960 --> 00:51:20,560
Speaker 1: and that would make me feel good on a Tuesday night,

829
00:51:20,640 --> 00:51:23,759
Speaker 1: to distract from the world falling apart. I like that

830
00:51:23,840 --> 00:51:28,600
Speaker 1: genre of movie. I'm glad Cocaine Bear people are liking it. Yeah,

831
00:51:28,640 --> 00:51:30,920
Speaker 1: Megan is truly at its best when she's dancing and

832
00:51:31,000 --> 00:51:35,120
Speaker 1: just like putting on cool sunglasses. It's really a lot

833
00:51:35,200 --> 00:51:39,600
Speaker 1: of fun. I saw a very online video on Twitter

834
00:51:39,680 --> 00:51:45,000
Speaker 1: of the of Megan dancing to the Ariana Debos rap.

835
00:51:46,000 --> 00:51:48,640
Speaker 1: She's doing flips to Angela Bassett did the thing. It

836
00:51:48,719 --> 00:51:54,200
Speaker 1: was very exciting the internet. Yeah, yeah, well so we

837
00:51:54,400 --> 00:51:57,400
Speaker 1: at least the Wall Street Journal totally fucking up reporting

838
00:51:57,440 --> 00:52:00,359
Speaker 1: on the movie is another way that we can add

839
00:52:00,360 --> 00:52:06,040
Speaker 1: to the the idea that the Cocaine Bear represents COVID

840
00:52:05,800 --> 00:52:10,959
Speaker 1: and our experience with that. Allison, truly a pleasure having

841
00:52:11,000 --> 00:52:13,600
Speaker 1: you on the daily zeitgeist as always, Where can people

842
00:52:13,760 --> 00:52:18,200
Speaker 1: find you? Follow you, read your words, all that good stuff. Yeah.

843
00:52:18,280 --> 00:52:21,160
Speaker 1: I have a weekly podcast called Just Between Us that

844
00:52:21,239 --> 00:52:23,840
Speaker 1: has its main episodes on Wednesdays and then also like

845
00:52:23,840 --> 00:52:28,920
Speaker 1: a fun Reddit exploration episode on Mondays. And then you

846
00:52:28,920 --> 00:52:32,520
Speaker 1: can check out my book over Thinking about you Navigating

847
00:52:32,680 --> 00:52:37,000
Speaker 1: Romantic Relationships when you have anxiety, OCD and or depression.

848
00:52:37,120 --> 00:52:41,080
Speaker 1: Pretty much anywhere books are sold. There you go and

849
00:52:41,360 --> 00:52:43,400
Speaker 1: is there a tweet or a work of media that

850
00:52:43,440 --> 00:52:46,480
Speaker 1: you've been enjoying. Well, I found this tweet that I

851
00:52:46,520 --> 00:52:51,160
Speaker 1: thought was just so lovely from Jack Kalil and it said,

852
00:52:51,600 --> 00:52:54,759
Speaker 1: my mom started painting in her late fifties after an

853
00:52:54,760 --> 00:52:58,040
Speaker 1: ever having done before, and this utterly distinct style has

854
00:52:58,040 --> 00:53:00,840
Speaker 1: flown out of her and it's taken. I'm real convincing

855
00:53:00,880 --> 00:53:03,680
Speaker 1: to make her believe that she's genuinely talented and these

856
00:53:03,719 --> 00:53:06,080
Speaker 1: are real art and I just wanted to share them.

857
00:53:06,640 --> 00:53:09,000
Speaker 1: And then he shared like four screenshots of like these

858
00:53:09,080 --> 00:53:13,200
Speaker 1: really beautiful paintings and the tweets like blown up and

859
00:53:13,320 --> 00:53:16,840
Speaker 1: has like over almost like two hundred and ninety thousand likes,

860
00:53:16,840 --> 00:53:19,560
Speaker 1: and so I just like like to imagine like this

861
00:53:19,640 --> 00:53:23,400
Speaker 1: like woman seeing her paintings getting the credit that they deserve.

862
00:53:23,440 --> 00:53:29,720
Speaker 1: It brings me joy. Amazing. Jamie Loftus, where can people

863
00:53:29,760 --> 00:53:33,920
Speaker 1: find you? And is there a workimedia you've been enjoying? Ah? Yeah,

864
00:53:34,000 --> 00:53:38,480
Speaker 1: you can follow me on Twitter still at Jamie Loftus,

865
00:53:38,480 --> 00:53:42,800
Speaker 1: help Instagram, Jamie Cary Superstar, listen to the Bechtel Cast,

866
00:53:43,280 --> 00:53:46,359
Speaker 1: listen to any podcast you want, really and then buy

867
00:53:46,480 --> 00:53:50,560
Speaker 1: Raw Dog, my book about hot dogs on May twenty three.

868
00:53:50,600 --> 00:53:55,040
Speaker 1: You can preorder it now and you should go do that,

869
00:53:55,120 --> 00:53:58,240
Speaker 1: and you you absolutely should right now. It's very good.

870
00:53:59,040 --> 00:54:04,720
Speaker 1: It's so good. Oh yeah, you guys are exciting. Yeah,

871
00:54:04,760 --> 00:54:07,440
Speaker 1: and we just revealed like the hardcover art today, so

872
00:54:07,520 --> 00:54:10,560
Speaker 1: I'm really excited about it. The tweet I am enjoying

873
00:54:11,280 --> 00:54:14,800
Speaker 1: is from Jacob Aller at Jacob aler O l e R.

874
00:54:15,200 --> 00:54:19,760
Speaker 1: I don't know why Jacob was watching a it seems

875
00:54:19,760 --> 00:54:23,560
Speaker 1: like a silent film about whalers, but he posted some

876
00:54:23,600 --> 00:54:28,680
Speaker 1: screenshots and captions. That whaling slang still goes because it's

877
00:54:28,760 --> 00:54:33,520
Speaker 1: like two whaling captain's shaking hands and then the they

878
00:54:33,520 --> 00:54:38,760
Speaker 1: say farewell captain, greasy luck. And I want to integrate

879
00:54:38,800 --> 00:54:42,080
Speaker 1: that into my my daily. That's my new that's my

880
00:54:42,160 --> 00:54:49,399
Speaker 1: new email. Sign up greasy luck. Unto you, Yeah, very luck.

881
00:54:50,880 --> 00:54:52,680
Speaker 1: Do you have a problem with me? Talk to my boss,

882
00:54:52,719 --> 00:54:59,080
Speaker 1: the Pope, and please sign all your emails like tweet.

883
00:54:59,080 --> 00:55:04,160
Speaker 1: I've been enjoying Loan af Chen tweeted forty four year

884
00:55:04,160 --> 00:55:06,839
Speaker 1: old guy at your work who says metric fuck ton.

885
00:55:07,680 --> 00:55:11,520
Speaker 1: It's about a bear who does cocaine. Yeah you heard

886
00:55:11,560 --> 00:55:16,319
Speaker 1: that right. I just thought that was Yeah. I love

887
00:55:16,400 --> 00:55:18,439
Speaker 1: that guy who says the metric fuck ton all the time.

888
00:55:19,000 --> 00:55:21,640
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

889
00:55:21,680 --> 00:55:23,920
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

890
00:55:23,920 --> 00:55:26,440
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

891
00:55:26,480 --> 00:55:29,560
Speaker 1: fan page on a website, Daily zeitgeist dot com, where

892
00:55:29,560 --> 00:55:32,799
Speaker 1: we post our episodes and our footnotes where we link

893
00:55:32,840 --> 00:55:35,680
Speaker 1: off the information that we talked about in today's episode,

894
00:55:35,920 --> 00:55:38,400
Speaker 1: as well as a song that we think you might enjoy.

895
00:55:38,560 --> 00:55:42,479
Speaker 1: Super producer justin what is a song that we think

896
00:55:42,520 --> 00:55:45,960
Speaker 1: people might enjoy? Well, this is a track that I

897
00:55:46,160 --> 00:55:49,520
Speaker 1: thought was very touching and charming. Um. This is a

898
00:55:49,520 --> 00:55:53,200
Speaker 1: song by Ella j which is Jay Dilla's younger brother.

899
00:55:53,680 --> 00:55:57,160
Speaker 1: It's a song called Maureen that's just an homage to

900
00:55:57,719 --> 00:56:00,640
Speaker 1: their mother and it's very It's just very nice and

901
00:56:00,680 --> 00:56:03,360
Speaker 1: it's got a cool style where it's got like this

902
00:56:03,400 --> 00:56:07,520
Speaker 1: boom bap like soul full style. It kind of reminds

903
00:56:07,560 --> 00:56:10,560
Speaker 1: me of old Kanye West before he turned into a

904
00:56:10,600 --> 00:56:15,360
Speaker 1: fucking super villain speaking of minions. My god. But yeah,

905
00:56:15,360 --> 00:56:17,719
Speaker 1: but I love this track. It's got a lot of

906
00:56:17,760 --> 00:56:20,359
Speaker 1: heart and Yeah, if you want to check this out,

907
00:56:20,440 --> 00:56:23,399
Speaker 1: it's called Maureen by Ella Ja and you can find

908
00:56:23,440 --> 00:56:26,440
Speaker 1: that song in the footnotes good Notes. The Daily Zeka

909
00:56:26,520 --> 00:56:28,680
Speaker 1: is a production of iHeartRadio from more podcast from my

910
00:56:28,760 --> 00:56:31,480
Speaker 1: Heart Radio, visit the iHeartRadio app, Apple podcast, or wherever

911
00:56:31,480 --> 00:56:33,360
Speaker 1: you listen to your favorite shows. That is going to

912
00:56:33,440 --> 00:56:35,960
Speaker 1: do it for us this morning, back this afternoon to

913
00:56:36,040 --> 00:56:38,719
Speaker 1: tell you what is trending, and we'll talk to you

914
00:56:38,760 --> 00:56:44,200
Speaker 1: all then fight, Hey