1
00:00:00,200 --> 00:00:03,080
Speaker 1: Hello the Internet, and welcome to Season one, seventy nine,

2
00:00:03,120 --> 00:00:07,640
Speaker 1: Episode four of Daily, the production of My Heart Radio.

3
00:00:07,760 --> 00:00:09,680
Speaker 1: This is a podcast where we take a deep dive

4
00:00:09,720 --> 00:00:14,360
Speaker 1: into America's shared consciousness. It is Thursday, It is April eight.

5
00:00:14,920 --> 00:00:19,320
Speaker 1: It is one. My name is Jack O'Brien a K.

6
00:00:19,720 --> 00:00:25,160
Speaker 1: The Jaws Father a K. Miles rips U Bunk, Jack

7
00:00:25,280 --> 00:00:30,560
Speaker 1: Pounds a due somewhere along day, read the news and

8
00:00:30,640 --> 00:00:35,680
Speaker 1: they'll podcast for you all night. Now you know how

9
00:00:35,760 --> 00:00:42,960
Speaker 1: did daily' sight. That is courtesy of and I'm thrilled

10
00:00:43,360 --> 00:00:46,280
Speaker 1: to be joined as always buy my co host, Mr

11
00:00:46,520 --> 00:00:52,559
Speaker 1: Miles Gray Miles Gray a k a Emil Smith rolling

12
00:00:52,720 --> 00:00:55,640
Speaker 1: up a fatty And for those of y'all that know

13
00:00:55,760 --> 00:00:58,520
Speaker 1: who I'm talking about, you know and shout out to you.

14
00:00:58,600 --> 00:01:00,720
Speaker 1: For those who don't, don't worry about it. But he

15
00:01:00,800 --> 00:01:04,920
Speaker 1: may just be Arsenal's greatest talent, homegrown talent. Maybe he'll

16
00:01:04,920 --> 00:01:07,120
Speaker 1: get the number ten shirt, maybe mar note Guard does.

17
00:01:07,240 --> 00:01:09,280
Speaker 1: We don't know yet, but what we like, what we

18
00:01:09,319 --> 00:01:11,680
Speaker 1: see and shout out to be our x x x

19
00:01:11,680 --> 00:01:16,360
Speaker 1: c K on the discord for that one. You're all

20
00:01:16,440 --> 00:01:18,400
Speaker 1: on our edge of on the edge of our seats.

21
00:01:18,920 --> 00:01:22,440
Speaker 1: He gets that number, the number ten shirt will he

22
00:01:22,520 --> 00:01:27,520
Speaker 1: get it? Is that that's a whether he were okay

23
00:01:27,560 --> 00:01:29,640
Speaker 1: the number ten shirt. It's not like whether he gets

24
00:01:29,680 --> 00:01:32,200
Speaker 1: to wear number ten. Well it is, and it's like

25
00:01:32,240 --> 00:01:34,280
Speaker 1: it means a couple of things. It'll usually mean like

26
00:01:34,360 --> 00:01:37,320
Speaker 1: your most technically gifted player, like that your star player

27
00:01:37,360 --> 00:01:40,200
Speaker 1: will wear the ten because hell A made no Number

28
00:01:40,200 --> 00:01:44,000
Speaker 1: ten famous and then Monadonna were number ten, and so

29
00:01:44,080 --> 00:01:46,679
Speaker 1: ten is like the number for like your for that dude,

30
00:01:46,720 --> 00:01:50,600
Speaker 1: MESSI wears ten now, so because of that, I think,

31
00:01:50,640 --> 00:01:53,400
Speaker 1: but also just like normally the position your number core

32
00:01:53,560 --> 00:01:56,440
Speaker 1: coincided with your position. So one was the keeper, two

33
00:01:56,520 --> 00:01:58,800
Speaker 1: was the right back, three was the left back, and

34
00:01:58,920 --> 00:02:02,040
Speaker 1: ten was sort of your playing maker. Anyway, that's all that.

35
00:02:02,320 --> 00:02:05,000
Speaker 1: Fans of American sports, I think will be interested to

36
00:02:05,080 --> 00:02:09,200
Speaker 1: learn that, because there's like a informal sort of twenty

37
00:02:09,240 --> 00:02:12,680
Speaker 1: three being a big number and then in the NBA

38
00:02:13,360 --> 00:02:16,720
Speaker 1: thirty three for a center, and then football like it

39
00:02:16,880 --> 00:02:21,800
Speaker 1: vaguely corresponds, but then you have some gray area in there.

40
00:02:22,240 --> 00:02:25,040
Speaker 1: Aren't there like some receivers that will wear ten in

41
00:02:25,080 --> 00:02:28,360
Speaker 1: the NFL. Yeah, like where it's like numbers in the tens,

42
00:02:28,400 --> 00:02:31,400
Speaker 1: it's less p eight all the way down to I

43
00:02:31,440 --> 00:02:36,480
Speaker 1: feel like eight. If you're blowing those lines up, you

44
00:02:36,520 --> 00:02:39,839
Speaker 1: know what I mean? You? Uh well, Miles, we are

45
00:02:40,680 --> 00:02:45,120
Speaker 1: uh fortunate, thrilled to be joined in our third seat

46
00:02:45,880 --> 00:02:48,359
Speaker 1: by one of the funniest dudes out there doing it.

47
00:02:48,520 --> 00:02:54,600
Speaker 1: He is the hilarious, the talented Stephen Wilburn. It'll be

48
00:02:54,960 --> 00:02:58,919
Speaker 1: a k A the ginger Ale kid a k A

49
00:03:00,240 --> 00:03:08,440
Speaker 1: Scott Mada. Minute ago, I'm the Steve. Now, let's talk

50
00:03:08,480 --> 00:03:17,560
Speaker 1: about some anime jents. Anime. That's what's good you guys.

51
00:03:17,600 --> 00:03:23,160
Speaker 1: Catch that JoJo's Jojo Part six announcement. Boy, I'm ready

52
00:03:23,160 --> 00:03:26,840
Speaker 1: to dive into that stone ocean with bated breath, with

53
00:03:26,960 --> 00:03:31,320
Speaker 1: bated dress. Stephen, last time we saw you we were

54
00:03:31,360 --> 00:03:35,040
Speaker 1: in person. No, he's been on since. Oh you pandemic?

55
00:03:35,320 --> 00:03:39,320
Speaker 1: All right, well that's right, yes, very forgettable. Your last appearance.

56
00:03:39,560 --> 00:03:42,600
Speaker 1: Uh time before that we saw you. I was talking

57
00:03:42,640 --> 00:03:47,160
Speaker 1: about how I how I beefed it real hard. Don't

58
00:03:47,160 --> 00:03:52,920
Speaker 1: remember that at all. There there was a guest recently

59
00:03:53,040 --> 00:03:57,360
Speaker 1: who had been on before, and I fully went into

60
00:03:57,400 --> 00:04:00,920
Speaker 1: it assuming they had not been And really, yeah, my

61
00:04:00,960 --> 00:04:03,960
Speaker 1: brain just doesn't work anymore. No, no offense to literally

62
00:04:04,000 --> 00:04:11,600
Speaker 1: anyone my brain just doesn't work. Apologies, Lake Wexler. Yes, guy,

63
00:04:11,640 --> 00:04:15,280
Speaker 1: that joker, that pack of cards. Oh, man, tell me

64
00:04:15,360 --> 00:04:18,800
Speaker 1: about it, Stephen. Where where are you coming to us from?

65
00:04:18,920 --> 00:04:24,320
Speaker 1: I'm coming to you live from scenic Louisville, Kentucky, all right,

66
00:04:24,760 --> 00:04:28,440
Speaker 1: the home of the car Yeah, home of the cards,

67
00:04:28,520 --> 00:04:32,760
Speaker 1: home of the Home of the Kroger, the Kentucky Derby,

68
00:04:33,120 --> 00:04:38,600
Speaker 1: Home of the Slugger. Yeah. Ups is chili coney cultured

69
00:04:38,960 --> 00:04:45,680
Speaker 1: in northern Kentucky too, like it is? Like, yes, are

70
00:04:45,720 --> 00:04:48,480
Speaker 1: people huge on that? And you know like gold Star

71
00:04:49,000 --> 00:04:52,760
Speaker 1: Skyline chili. Oh there is one that's the chili on

72
00:04:52,800 --> 00:04:55,440
Speaker 1: the spaghetti, right, yeah? Or you have on a hot dog,

73
00:04:55,480 --> 00:04:57,159
Speaker 1: you know, depending on you on two way three way?

74
00:04:57,279 --> 00:05:03,520
Speaker 1: Whoa what do I look like? Sonic the Hedgehog? I

75
00:05:03,520 --> 00:05:07,520
Speaker 1: think it's big. Yeah, I don't know if I haven't

76
00:05:07,560 --> 00:05:10,599
Speaker 1: had it. That's my favorite reasonable food over there to

77
00:05:10,680 --> 00:05:14,760
Speaker 1: make carbs for me. Sorry, but Louisville is a pretty

78
00:05:14,760 --> 00:05:19,440
Speaker 1: cool city, right, It's it's pretty. It's pretty, give it that, Yeah,

79
00:05:19,640 --> 00:05:22,880
Speaker 1: it's pretty. What's what's like the what's the scenic aspects

80
00:05:22,880 --> 00:05:27,800
Speaker 1: of Louisville? A lot of cemeteries, yeah, yes, like haunted

81
00:05:28,760 --> 00:05:34,480
Speaker 1: a lot of greenery park, Yeah, right right with foliage. Yes,

82
00:05:35,200 --> 00:05:39,080
Speaker 1: it's it's just now like all coming in Winner, Winner

83
00:05:39,160 --> 00:05:41,200
Speaker 1: was kind of poop poo like it. It looked a

84
00:05:41,200 --> 00:05:47,440
Speaker 1: little stinky around here. Language watch your fucking mouth over

85
00:05:47,560 --> 00:05:53,039
Speaker 1: my heart radio knocking your door down right now, that's okay.

86
00:05:53,080 --> 00:05:55,640
Speaker 1: We've got the poopoo filter where we can press the

87
00:05:55,720 --> 00:05:58,279
Speaker 1: button anytime we can sense of poopoo coming on and

88
00:05:58,279 --> 00:06:00,279
Speaker 1: then actually what it does is it for is a

89
00:06:00,320 --> 00:06:04,800
Speaker 1: conversation into nothing but Scott talk as well. The unfortunate

90
00:06:04,839 --> 00:06:07,200
Speaker 1: side effect of the poop filter, that is something that

91
00:06:07,240 --> 00:06:11,080
Speaker 1: has been afflicting our podcast of of late Stephen, is

92
00:06:11,120 --> 00:06:16,320
Speaker 1: that we just get into a subject related to poo

93
00:06:16,360 --> 00:06:19,280
Speaker 1: poo and cannot get off. But we'll we'll try to

94
00:06:19,320 --> 00:06:23,560
Speaker 1: avoid that here. I am the scat man. Yeah, as

95
00:06:23,600 --> 00:06:26,680
Speaker 1: we heard, you know, and whether it's scouting via you know,

96
00:06:27,000 --> 00:06:30,080
Speaker 1: oral verbal scouting and the jazz standards and the traditions

97
00:06:30,240 --> 00:06:33,479
Speaker 1: set forth by the great Kim Cattrall or yourself or

98
00:06:33,480 --> 00:06:36,000
Speaker 1: scat man carruthers, um, you know, get you a man

99
00:06:36,040 --> 00:06:39,920
Speaker 1: who can do both. Yes, thank you, all right, Steve,

100
00:06:39,920 --> 00:06:41,680
Speaker 1: when we're gonna get to know you a little bit

101
00:06:41,680 --> 00:06:44,240
Speaker 1: better in a moment. First, we're gonna tell our listeners

102
00:06:44,440 --> 00:06:47,040
Speaker 1: a couple of things we're talking about today, such as

103
00:06:47,520 --> 00:06:51,440
Speaker 1: we'll talk about something called hygiene theater. We'll talk about

104
00:06:51,800 --> 00:06:55,960
Speaker 1: how we should be preparing for the next pandemic. Why

105
00:06:56,279 --> 00:07:00,400
Speaker 1: Canada's vaccine rollout sucks so bad? This is just Layton

106
00:07:01,160 --> 00:07:05,360
Speaker 1: uh pandering to the American audience who have had nothing

107
00:07:05,440 --> 00:07:11,160
Speaker 1: to gloat about for yeah, even still, but I mean,

108
00:07:11,280 --> 00:07:13,600
Speaker 1: come on, we we gotta get it where we can.

109
00:07:14,040 --> 00:07:18,600
Speaker 1: We'll talk about Matt Gates's requests towards the end of

110
00:07:18,600 --> 00:07:22,920
Speaker 1: the Trump administration for blanket pardons and you know, the

111
00:07:22,920 --> 00:07:26,680
Speaker 1: new context in which we can view those catch up shortages.

112
00:07:27,120 --> 00:07:29,960
Speaker 1: We'll talk about how to take care of yourself after

113
00:07:30,040 --> 00:07:32,960
Speaker 1: you've been vaccinated. We might even talk about some some

114
00:07:33,120 --> 00:07:38,440
Speaker 1: Hollywood goss all that plenty more. But first, Stephen, you know,

115
00:07:38,560 --> 00:07:41,080
Speaker 1: we like to ask our guest, what is something from

116
00:07:41,080 --> 00:07:45,920
Speaker 1: your search history that's revealing about who you are? Uh?

117
00:07:46,160 --> 00:07:52,920
Speaker 1: Feces right? What is it? Facus? I don't know I

118
00:07:53,000 --> 00:07:56,920
Speaker 1: saw this word f e c s. Lately, I've just

119
00:07:57,000 --> 00:08:01,160
Speaker 1: been trying to find a vintage March Simpson T shirt

120
00:08:01,320 --> 00:08:05,840
Speaker 1: that isn't a hundred dollars. Wow mm hmmm, because the

121
00:08:05,880 --> 00:08:09,920
Speaker 1: Barts I'm assuming are the market is flooded with Barts,

122
00:08:09,960 --> 00:08:11,760
Speaker 1: but not a lot of Margins. I love a good

123
00:08:12,000 --> 00:08:15,080
Speaker 1: you want to get the bootleg barts, those are great,

124
00:08:15,240 --> 00:08:20,040
Speaker 1: like forty nine Bart and stuff or Jamaican Bart, Like, yeah,

125
00:08:20,160 --> 00:08:22,240
Speaker 1: those are gold, But I just I want to Marge

126
00:08:22,600 --> 00:08:27,480
Speaker 1: like Marge. Yeah, you can't even find like a bootleg

127
00:08:27,520 --> 00:08:29,480
Speaker 1: one because what you're talking about, You're just do you

128
00:08:29,480 --> 00:08:32,120
Speaker 1: follow that bootleg Simpson's account on I G. That's all

129
00:08:32,200 --> 00:08:35,840
Speaker 1: like bootleg Simpsons merch. Yeah, they're just post It's so funny,

130
00:08:35,880 --> 00:08:38,480
Speaker 1: like they're the ones like from Freak Nick nine three.

131
00:08:38,600 --> 00:08:42,800
Speaker 1: I'm like, I love seeing black Bart Simpson. But yeah, Margin,

132
00:08:43,120 --> 00:08:46,120
Speaker 1: you can't find like even a you know, want you

133
00:08:46,160 --> 00:08:49,920
Speaker 1: want a bootleg Bart, but I want a real Marge.

134
00:08:50,120 --> 00:08:54,520
Speaker 1: You know. Wow? Wow? Interesting? Did you did y'all see

135
00:08:54,559 --> 00:08:57,320
Speaker 1: that one TikTok video? Daniel shared it with me of

136
00:08:57,440 --> 00:09:00,920
Speaker 1: that one comedian or she just has a TikTok account,

137
00:09:01,240 --> 00:09:04,760
Speaker 1: but she does like Marge Simpsons voice so well. The

138
00:09:04,800 --> 00:09:06,680
Speaker 1: title of it is if Marge Simpson was in the

139
00:09:06,720 --> 00:09:10,240
Speaker 1: Godfather instead of Marlon Brando. Have you seen that clip? Oh?

140
00:09:10,320 --> 00:09:11,880
Speaker 1: My god. Well, I'm gonna play it for you all

141
00:09:11,880 --> 00:09:16,320
Speaker 1: because it's so fucking funny, is it, Julie Cather? No,

142
00:09:16,520 --> 00:09:20,000
Speaker 1: it's at slow puke on TikTok and just just watch

143
00:09:20,080 --> 00:09:30,840
Speaker 1: this clip really click the massacred my boy. Yeah, oh

144
00:09:30,960 --> 00:09:37,680
Speaker 1: my god, that's exceeded expectations. I never thought something as simple,

145
00:09:37,800 --> 00:09:40,440
Speaker 1: but yeah, well we need that. Give me that bootleg

146
00:09:40,440 --> 00:09:45,520
Speaker 1: shirt as Don Corleone marche Corleoni. Oh my god. That

147
00:09:45,760 --> 00:09:53,040
Speaker 1: is uh it's the my boy, that that bridges the

148
00:09:53,080 --> 00:09:56,280
Speaker 1: two worlds. You know, I love to see it. The

149
00:09:56,280 --> 00:10:01,360
Speaker 1: Simpsons did one of those sopranos, uh my okay, like

150
00:10:02,240 --> 00:10:09,400
Speaker 1: yeah right, I'm sure they didn't do an opening the

151
00:10:10,280 --> 00:10:13,400
Speaker 1: woke up this morning with March driving around from the

152
00:10:13,640 --> 00:10:17,080
Speaker 1: grocery store. But no, I'm not, like, remember there was

153
00:10:17,120 --> 00:10:22,080
Speaker 1: that really influential sopranos, Like I think it was like

154
00:10:22,120 --> 00:10:24,640
Speaker 1: a billboard or like a magazin black and white photo.

155
00:10:24,760 --> 00:10:28,600
Speaker 1: Oh yeah yeah yeah hit one family on one side

156
00:10:28,640 --> 00:10:31,800
Speaker 1: and the other family on the other. And then I

157
00:10:31,920 --> 00:10:35,280
Speaker 1: think any TV show had to had to do a

158
00:10:35,440 --> 00:10:38,480
Speaker 1: take on that. How many are you a Do you

159
00:10:38,520 --> 00:10:41,320
Speaker 1: have a Simpsons te for like every day of the week?

160
00:10:41,559 --> 00:10:43,960
Speaker 1: Are you is that kind of That's what I'm trying

161
00:10:43,960 --> 00:10:49,000
Speaker 1: to right now. I'm at a I'm at a solid zero.

162
00:10:50,400 --> 00:10:54,600
Speaker 1: Oh wait, no, I just got this one. Uh great,

163
00:10:54,720 --> 00:11:01,400
Speaker 1: great audio. Is that Kira Millhouse shirt? Yeah, Kira, it's

164
00:11:01,480 --> 00:11:06,600
Speaker 1: like and Millhouse is just being like shot to pieces

165
00:11:06,840 --> 00:11:11,920
Speaker 1: on the Yeah. Yeah, um, I'm glad we can get it.

166
00:11:12,000 --> 00:11:17,079
Speaker 1: Some anime talking, what is something you think is overrated?

167
00:11:17,800 --> 00:11:23,560
Speaker 1: Dog clothes? But not because it's just clothes for dogs,

168
00:11:23,600 --> 00:11:27,360
Speaker 1: but the that they put the front of the clothes

169
00:11:27,720 --> 00:11:31,440
Speaker 1: on the back of the dog. M hmm, I think

170
00:11:31,760 --> 00:11:37,760
Speaker 1: is unacceptable and should not be allowed in fashion. So

171
00:11:37,800 --> 00:11:40,439
Speaker 1: you're saying, like if it were like a tuxedo, the

172
00:11:41,200 --> 00:11:43,480
Speaker 1: lapels and stuff on the back so you can put

173
00:11:43,880 --> 00:11:48,400
Speaker 1: so it's visibly like a tuxedo. You're like, dogs, this

174
00:11:48,480 --> 00:11:53,960
Speaker 1: is for the This was mcdaddy or daddy mac? Which

175
00:11:54,000 --> 00:11:56,280
Speaker 1: which which one are you served? I want my dog

176
00:11:56,320 --> 00:12:00,800
Speaker 1: to look like Christopher Cross, not Criss Cross. Okay, it's

177
00:12:00,800 --> 00:12:04,960
Speaker 1: when it took seedo. Yeah, what the fund is that?

178
00:12:05,080 --> 00:12:06,960
Speaker 1: Why do they do that? Yeah? I mean, I mean

179
00:12:06,960 --> 00:12:09,840
Speaker 1: I understand why they do it, but well it's made

180
00:12:10,000 --> 00:12:13,199
Speaker 1: it's for you then, right, Yeah, it's not for the dog.

181
00:12:14,280 --> 00:12:18,280
Speaker 1: When the dog walks into the club. Yeah mm hmm, yeah,

182
00:12:18,320 --> 00:12:20,520
Speaker 1: what the funk? What then we need? I mean, until

183
00:12:20,640 --> 00:12:23,600
Speaker 1: we can train our dogs to be bipedes, you know.

184
00:12:23,720 --> 00:12:27,160
Speaker 1: Unfortunately that's just where fashion is going to be for them.

185
00:12:27,200 --> 00:12:30,400
Speaker 1: Which maybe we'll motivate them to pick up bipedal motion

186
00:12:31,160 --> 00:12:36,560
Speaker 1: um as a species because the purps are better fashion options. Okay,

187
00:12:37,040 --> 00:12:38,959
Speaker 1: I think that's that's an opening shot case right there.

188
00:12:39,320 --> 00:12:41,760
Speaker 1: My old dog, Miles could walk on two feet for

189
00:12:42,040 --> 00:12:46,599
Speaker 1: a pretty pretty long period of time and it was

190
00:12:46,679 --> 00:12:50,600
Speaker 1: really yeah, kind of freak people out. Like you would

191
00:12:50,600 --> 00:12:53,280
Speaker 1: be like, all right, Miles, let's go, and he's just like, well,

192
00:12:53,280 --> 00:12:55,320
Speaker 1: you had to. You had to kind of had something

193
00:12:55,320 --> 00:12:59,320
Speaker 1: about this, right. It wasn't like a two or nine ship.

194
00:12:59,480 --> 00:13:05,160
Speaker 1: It was like that, oh bide engaged. Yeah, Oh, I

195
00:13:05,200 --> 00:13:06,880
Speaker 1: saw there was a video of like I think it was.

196
00:13:06,920 --> 00:13:08,800
Speaker 1: I saw reddit like a cat or a dog that

197
00:13:08,960 --> 00:13:11,760
Speaker 1: was raised in like with a bunch of mirror cats

198
00:13:11,880 --> 00:13:14,720
Speaker 1: or some ship. So it learned to just stand on

199
00:13:14,800 --> 00:13:18,319
Speaker 1: his hind legs because in its younger in its younger days,

200
00:13:18,320 --> 00:13:20,920
Speaker 1: it used to stand on his legs, but around these

201
00:13:20,920 --> 00:13:23,480
Speaker 1: other mirror cats and it was just very casually had

202
00:13:23,480 --> 00:13:26,680
Speaker 1: this upright vibe that was kind of startling to to

203
00:13:26,720 --> 00:13:33,960
Speaker 1: look at it. Sounds like no mirror cat. It was

204
00:13:34,000 --> 00:13:40,319
Speaker 1: a dog. Like I said, now you've done it, Steven,

205
00:13:40,800 --> 00:13:45,400
Speaker 1: Uh the can we go off Mike really quick just

206
00:13:45,440 --> 00:13:50,040
Speaker 1: to talk about this guy? Ok? Is this guy's no man? Yeah?

207
00:13:50,400 --> 00:13:54,800
Speaker 1: What off Mike and read me to filth there. There's

208
00:13:54,880 --> 00:13:56,959
Speaker 1: also a video of a dog that is missing its

209
00:13:56,960 --> 00:13:59,480
Speaker 1: front two legs and walks around on his back legs.

210
00:13:59,480 --> 00:14:03,400
Speaker 1: And I'm sure everyone's seen that, but it is uncanny

211
00:14:03,400 --> 00:14:07,760
Speaker 1: and troubling to say the least. What is something you

212
00:14:07,760 --> 00:14:12,000
Speaker 1: think is underrated? Stephen. I don't know if you remember

213
00:14:12,400 --> 00:14:15,240
Speaker 1: when this happened, because I don't. I think it probably

214
00:14:15,280 --> 00:14:19,760
Speaker 1: within the past ten years. But somebody thought to put

215
00:14:19,800 --> 00:14:25,280
Speaker 1: a little reservoir in the laundry detergent bottle, like at

216
00:14:25,360 --> 00:14:27,600
Speaker 1: the at the top where the nozzle is, there's now

217
00:14:27,680 --> 00:14:33,680
Speaker 1: like a little like hole where there. Yeah, the excess

218
00:14:33,720 --> 00:14:36,040
Speaker 1: can drip back into the bottle. And it's just like,

219
00:14:37,360 --> 00:14:40,720
Speaker 1: give that person a MacArthur whoever whoever thought of that

220
00:14:41,120 --> 00:14:45,240
Speaker 1: genius grant. So it's like a little moat around the

221
00:14:45,520 --> 00:14:47,520
Speaker 1: Is that what you're talking about? Well, they normally and

222
00:14:47,600 --> 00:14:50,480
Speaker 1: there there. There used to be just straight mote. So

223
00:14:50,640 --> 00:14:53,680
Speaker 1: after you pour the detergent in the washing machine, you

224
00:14:53,720 --> 00:14:55,720
Speaker 1: put the cat back on the like a lot of

225
00:14:55,760 --> 00:14:59,080
Speaker 1: it just stays in that reservoir. But then somebody arrested

226
00:14:59,120 --> 00:15:01,280
Speaker 1: to put off put a hole there, so it all

227
00:15:01,400 --> 00:15:06,160
Speaker 1: drips down and it's like MoMA mina. Yeah, we're not

228
00:15:06,200 --> 00:15:09,080
Speaker 1: wasting because yeah, I remember back in the day, like

229
00:15:09,240 --> 00:15:11,800
Speaker 1: my childhood idea of a laundry detergent bottle was it

230
00:15:11,960 --> 00:15:15,600
Speaker 1: just cascading down the sides of the bottle, And then

231
00:15:15,640 --> 00:15:18,280
Speaker 1: we got the moat, which only half solved it. And

232
00:15:18,320 --> 00:15:22,640
Speaker 1: now we're fully into the restorative return funnel of the

233
00:15:22,680 --> 00:15:25,480
Speaker 1: top of a laundry detergent bottle unless you're using pods

234
00:15:25,600 --> 00:15:29,200
Speaker 1: or some ship. Yeah, hopefully we can put a man

235
00:15:29,240 --> 00:15:33,000
Speaker 1: on the moontain next yeah, hopefully maybe the next up,

236
00:15:33,000 --> 00:15:35,640
Speaker 1: maybe medicare for all. That's the whole if we can

237
00:15:35,720 --> 00:15:38,440
Speaker 1: solve that problem, maybe we can may or maybe not.

238
00:15:38,520 --> 00:15:40,280
Speaker 1: I don't know. We'll see, maybe tide will lead the

239
00:15:40,280 --> 00:15:45,040
Speaker 1: way on that. You guys, pod people, you pods, stupid

240
00:15:45,040 --> 00:15:50,000
Speaker 1: potting is my whole life, bro. Oh you mean detergent pods? Yeah, yeah,

241
00:15:50,000 --> 00:15:55,800
Speaker 1: oh yeah, that's popular party drug. Yeah, I mean I

242
00:15:55,840 --> 00:15:59,600
Speaker 1: have it all depends. It's like if I'm at a store,

243
00:16:00,160 --> 00:16:02,440
Speaker 1: I've i've, i've, I've used, I've bought both in the

244
00:16:02,520 --> 00:16:04,960
Speaker 1: last year. The one I like is the one that

245
00:16:05,000 --> 00:16:07,120
Speaker 1: has oxy in it, because I like to use oxy clean.

246
00:16:07,200 --> 00:16:11,360
Speaker 1: You know, keep in mind my socks a little bit brighter. Um.

247
00:16:11,400 --> 00:16:14,320
Speaker 1: But you know whatever, I don't really have a preference

248
00:16:14,760 --> 00:16:23,360
Speaker 1: for me laundry. M hm. I go with liquid dishes. Wow, wow, interesting, Okay,

249
00:16:23,880 --> 00:16:26,960
Speaker 1: we have a reason to it. We have a dishwasher

250
00:16:27,240 --> 00:16:31,800
Speaker 1: that specifically requests, like must have signed some sort of

251
00:16:31,880 --> 00:16:37,360
Speaker 1: endorsement deal way up the line, specifically requests a platinum

252
00:16:38,080 --> 00:16:47,560
Speaker 1: Cascade pod. Please, Mr O'Brien, what is this? Stop mistreating

253
00:16:47,600 --> 00:16:51,560
Speaker 1: me and it it's like not equipped to use it.

254
00:16:51,560 --> 00:16:54,880
Speaker 1: It like the pod doesn't fully dissolve when you wash it.

255
00:16:54,880 --> 00:16:58,280
Speaker 1: It's a really it's it's a corner. It's like I

256
00:16:58,360 --> 00:17:02,480
Speaker 1: must use this and then and you're like, fine, asshole here,

257
00:17:02,720 --> 00:17:06,000
Speaker 1: and then you just have like a bunch of dehydrated

258
00:17:06,040 --> 00:17:09,720
Speaker 1: plastic after you run dishes. It's like the kid who

259
00:17:09,800 --> 00:17:12,520
Speaker 1: bakes his mom for the large fry, Like, you know,

260
00:17:12,640 --> 00:17:16,159
Speaker 1: I can finish it. You had three and you have

261
00:17:16,160 --> 00:17:18,679
Speaker 1: a belly ache. Alright, asshole, that's why. That's why you

262
00:17:18,680 --> 00:17:20,960
Speaker 1: don't get the thicker holder. It's only the ones that

263
00:17:21,000 --> 00:17:24,480
Speaker 1: come into paper holder, the little itty bitty fried right.

264
00:17:25,080 --> 00:17:29,520
Speaker 1: M all right, well, uh, funck my dishwasher. I guess

265
00:17:29,800 --> 00:17:35,320
Speaker 1: have you tried. Yeah, that did actually, actually that no,

266
00:17:35,480 --> 00:17:38,640
Speaker 1: I think nullified your warranty, right, which is right. That's

267
00:17:38,640 --> 00:17:42,199
Speaker 1: where my wife said, Uh, and you know you just

268
00:17:42,240 --> 00:17:48,080
Speaker 1: assumed it would morph into the maytag guy the machine.

269
00:17:48,119 --> 00:17:49,800
Speaker 1: I don't know, a repair person may come out in

270
00:17:49,840 --> 00:17:54,960
Speaker 1: a few minutes. All right, let's take a quick break.

271
00:17:55,040 --> 00:18:09,919
Speaker 1: We will be right back. And we're back, and the

272
00:18:10,000 --> 00:18:12,879
Speaker 1: CDC is getting a little caddy. I think the CDC

273
00:18:13,080 --> 00:18:17,200
Speaker 1: is getting a little uh you know, cocky, maybe feeling

274
00:18:17,720 --> 00:18:23,880
Speaker 1: so they're saying enough with the hygiene theater, assholes. Not

275
00:18:23,880 --> 00:18:27,840
Speaker 1: not in those words exactly, but they're they're basically making

276
00:18:27,840 --> 00:18:31,760
Speaker 1: the point that we have now equipped all public spaces

277
00:18:31,880 --> 00:18:37,000
Speaker 1: with hand sanitizer. Leave it like it's a sacred space,

278
00:18:37,040 --> 00:18:41,800
Speaker 1: and the hand sanitizers candles. It's just hand sanitizer lined

279
00:18:41,920 --> 00:18:45,920
Speaker 1: up everywhere you go. And they're like, but we know now,

280
00:18:46,240 --> 00:18:50,080
Speaker 1: like we figured out months into the entire pandemic that

281
00:18:50,680 --> 00:18:54,199
Speaker 1: foe mites the like. You know, versions of the germs

282
00:18:54,240 --> 00:18:56,920
Speaker 1: that are on objects are not the way that things

283
00:18:56,920 --> 00:19:00,200
Speaker 1: are getting spread. You guys know this. So they is

284
00:19:00,240 --> 00:19:03,760
Speaker 1: all about again with the dog having the front of

285
00:19:03,800 --> 00:19:05,520
Speaker 1: it shirt on its back, this is all about how

286
00:19:05,560 --> 00:19:09,879
Speaker 1: it makes you feel, not It's not for the the

287
00:19:10,000 --> 00:19:14,719
Speaker 1: virus uh and the actual safety of the people around you.

288
00:19:14,800 --> 00:19:17,919
Speaker 1: It's just about making you feel safe. I wonder if

289
00:19:17,920 --> 00:19:21,040
Speaker 1: there's a correlation between seeing someone in a hazmat suit

290
00:19:21,240 --> 00:19:24,280
Speaker 1: like pressure spray a seat down before you sit in

291
00:19:24,320 --> 00:19:25,679
Speaker 1: it that makes you feel like you don't need to

292
00:19:25,680 --> 00:19:27,840
Speaker 1: wear a mask, you know what I mean, Like what

293
00:19:27,920 --> 00:19:32,639
Speaker 1: the relationship is of hygiene theater versus relative like recklessness

294
00:19:32,720 --> 00:19:37,080
Speaker 1: because of hygiene theater. But also I think, and it's

295
00:19:37,080 --> 00:19:39,399
Speaker 1: like kind of an interesting thing too because it's a

296
00:19:39,440 --> 00:19:41,679
Speaker 1: lot of it was good advice in the beginning, and

297
00:19:41,720 --> 00:19:44,240
Speaker 1: then I think maybe whatever businesses took it to a

298
00:19:44,240 --> 00:19:48,360
Speaker 1: certain point to have customers feel good. Yeah, I mean

299
00:19:48,520 --> 00:19:51,119
Speaker 1: I know personally, if I saw a guy in a

300
00:19:51,200 --> 00:19:56,480
Speaker 1: hazmat suit pressure wash a bench and was like, all good,

301
00:19:56,760 --> 00:19:59,879
Speaker 1: you can sit down now, Yeah, I wouldn't be like

302
00:20:00,600 --> 00:20:02,920
Speaker 1: no thanks, I'd be like, thank you, sir, thank you,

303
00:20:03,520 --> 00:20:05,600
Speaker 1: thank you very much for your service, because I would

304
00:20:05,640 --> 00:20:09,320
Speaker 1: feel bad that he had to come to writing. Yeah,

305
00:20:10,040 --> 00:20:11,920
Speaker 1: it seems like we don't even have to do that

306
00:20:12,800 --> 00:20:16,280
Speaker 1: because what's like the transmission rate was something really low,

307
00:20:16,400 --> 00:20:21,480
Speaker 1: like one in ten thousand. Possibly they think from surfaces

308
00:20:21,520 --> 00:20:24,280
Speaker 1: like as they looked into you know, super spread or

309
00:20:24,320 --> 00:20:27,680
Speaker 1: events and like the dynamics and who caught it from who,

310
00:20:28,359 --> 00:20:33,240
Speaker 1: It just seems like it's almost exclusively airborne, right, And

311
00:20:33,560 --> 00:20:39,520
Speaker 1: this this jerk, Jose Louise Jimenez, who is apparently an

312
00:20:39,560 --> 00:20:43,640
Speaker 1: atmospheric chemist, whatever the funk that is. I was saying

313
00:20:43,640 --> 00:20:45,879
Speaker 1: that if we took half the effort that's being given

314
00:20:45,920 --> 00:20:50,080
Speaker 1: to disinfection and we put it on ventilation, that would

315
00:20:50,400 --> 00:20:54,560
Speaker 1: be a huge shift. People would be getting less sick.

316
00:20:56,240 --> 00:21:00,560
Speaker 1: But you can't see clean, see clean, to see people

317
00:21:00,560 --> 00:21:03,760
Speaker 1: cleaning their hands, yes, but I can't see. That's why

318
00:21:03,800 --> 00:21:07,960
Speaker 1: the happening didn't go well, that's why that movie was

319
00:21:08,000 --> 00:21:12,240
Speaker 1: a flop. Or you have like human powered ventilation systems

320
00:21:12,320 --> 00:21:14,320
Speaker 1: for people to connect the dots like, oh yeah, those

321
00:21:14,320 --> 00:21:17,040
Speaker 1: people are on those bikes to help ventilate, and that's

322
00:21:17,119 --> 00:21:19,400
Speaker 1: the new equivalent. Because I can see that, I can

323
00:21:19,440 --> 00:21:23,000
Speaker 1: see the work being done. Now I feel better. But yeah,

324
00:21:23,000 --> 00:21:25,720
Speaker 1: we just get to just clean the fucking air. Yeah,

325
00:21:26,280 --> 00:21:29,080
Speaker 1: or get really loud ventilation systems that have like a

326
00:21:29,200 --> 00:21:34,199
Speaker 1: voice that's like ventilation on engaging. Yeah, I don't know.

327
00:21:34,320 --> 00:21:37,480
Speaker 1: All right, Miles, you've been putting in some thought, uh

328
00:21:37,520 --> 00:21:39,320
Speaker 1: into and by that I mean you read a New

329
00:21:39,359 --> 00:21:43,280
Speaker 1: York Magazine article. Yeah, this is a podcast. So what

330
00:21:43,400 --> 00:21:45,840
Speaker 1: I do is I will read a thing, process it,

331
00:21:45,880 --> 00:21:47,880
Speaker 1: and then be like, you know what I read recently.

332
00:21:50,119 --> 00:21:52,800
Speaker 1: Do not appreciate that impression of me, but go ahead.

333
00:21:53,240 --> 00:21:55,320
Speaker 1: That was that was It was like, yeah, it was

334
00:21:55,359 --> 00:21:59,879
Speaker 1: like Andy Rooney mixed with Tucker Carlson and Leno, you know,

335
00:22:00,040 --> 00:22:04,000
Speaker 1: I think all together it was like the delivery. So

336
00:22:04,520 --> 00:22:06,240
Speaker 1: there's a piece of New York Magazine that sort of

337
00:22:06,320 --> 00:22:08,960
Speaker 1: lays out the timeline for how we got this current

338
00:22:09,000 --> 00:22:13,800
Speaker 1: crop of vaccines Maderna, Visor Johnson and Johnson, etcetera. And

339
00:22:14,160 --> 00:22:21,000
Speaker 1: they were all assembled around January, and trials began about

340
00:22:21,040 --> 00:22:23,480
Speaker 1: a month later. Just to read an extra from this article,

341
00:22:23,560 --> 00:22:26,000
Speaker 1: quote in Massachusetts, the Maderna vaccine design took all of

342
00:22:26,080 --> 00:22:28,879
Speaker 1: one weekend. It was completed before China had even acknowledged

343
00:22:28,920 --> 00:22:31,240
Speaker 1: that the disease could be transmitted from human to human

344
00:22:31,320 --> 00:22:34,480
Speaker 1: more than a week before the first confirmed coronavirus case

345
00:22:34,480 --> 00:22:36,920
Speaker 1: in the United States. By the time the first American

346
00:22:36,960 --> 00:22:39,600
Speaker 1: death was announced a month later, the vaccine had already

347
00:22:39,600 --> 00:22:43,000
Speaker 1: been manufactured and shipped to the National Institutes of Health

348
00:22:43,200 --> 00:22:46,439
Speaker 1: for the beginning of its Phase one clinical trial. So

349
00:22:47,160 --> 00:22:53,280
Speaker 1: meaning we had the vaccines the whole time people were dying. Yes,

350
00:22:53,560 --> 00:22:55,399
Speaker 1: And that's not to say, like, you know, what the

351
00:22:55,440 --> 00:22:59,480
Speaker 1: funk we had the vaccine the whole time. It's more about, like, obviously, yes,

352
00:22:59,520 --> 00:23:02,920
Speaker 1: their need to be safety. The safety and efficacy studies

353
00:23:02,960 --> 00:23:06,520
Speaker 1: are massively important because even if you have something like

354
00:23:06,640 --> 00:23:10,440
Speaker 1: one percent reactions that that could have been fatal in

355
00:23:10,720 --> 00:23:13,080
Speaker 1: the United States, that would have been three million people

356
00:23:13,200 --> 00:23:16,200
Speaker 1: dead off the vaccine. So on some level, like, yes,

357
00:23:16,280 --> 00:23:20,000
Speaker 1: we need to exercise caution. But this whole article sort

358
00:23:20,040 --> 00:23:22,440
Speaker 1: of raises the question like could we have done things

359
00:23:22,480 --> 00:23:25,520
Speaker 1: differently given the fact that we had we like we

360
00:23:25,520 --> 00:23:27,200
Speaker 1: were kind of getting ahead of it. We had it

361
00:23:27,240 --> 00:23:30,040
Speaker 1: and we were trying to test it. Like China, they

362
00:23:30,040 --> 00:23:34,240
Speaker 1: were already vaccinating their military. In June of Russia began

363
00:23:34,359 --> 00:23:37,439
Speaker 1: rolling out their vaccine in August, and there's definitely a

364
00:23:37,480 --> 00:23:40,639
Speaker 1: sense of like risk avoidance that's healthy. But when you

365
00:23:40,680 --> 00:23:43,320
Speaker 1: also consider like the f d A was authorizing things

366
00:23:43,320 --> 00:23:49,080
Speaker 1: like hydroxy chloroquine and rembissevere um like through emergency authorizations,

367
00:23:49,760 --> 00:23:52,240
Speaker 1: and they were totally ineffective and for in the case

368
00:23:52,280 --> 00:23:55,360
Speaker 1: of hydroxy chloroquine actually very harmful. It makes you wonder like,

369
00:23:55,880 --> 00:23:59,800
Speaker 1: how how can we be um a little bit more aggressive,

370
00:24:00,080 --> 00:24:02,240
Speaker 1: how we're trying to roll things out or get ahead

371
00:24:02,240 --> 00:24:06,800
Speaker 1: of it. And maybe it's at least partially because I

372
00:24:06,800 --> 00:24:09,639
Speaker 1: I always go back to this article where somebody used

373
00:24:09,720 --> 00:24:14,720
Speaker 1: the like crash analysis, like how when how they explain

374
00:24:15,280 --> 00:24:19,439
Speaker 1: air crashes after the fact and like look at every

375
00:24:19,440 --> 00:24:22,919
Speaker 1: system that contributed to the crash and then like do

376
00:24:23,040 --> 00:24:26,560
Speaker 1: a dive into like so how do we prepare or

377
00:24:26,600 --> 00:24:28,879
Speaker 1: how do we keep these from happening next time? And

378
00:24:28,920 --> 00:24:31,080
Speaker 1: it was like so much of what they found was

379
00:24:31,160 --> 00:24:35,919
Speaker 1: just like preventable Trump administration ship, right, And even just

380
00:24:36,000 --> 00:24:39,399
Speaker 1: like going to that like the fact that we got

381
00:24:39,440 --> 00:24:44,639
Speaker 1: these late night infomercial cures out to the public before

382
00:24:44,680 --> 00:24:47,600
Speaker 1: we got the actual vaccines. It's like, maybe maybe we

383
00:24:47,640 --> 00:24:51,400
Speaker 1: don't elect a scam artist. Yeah, And not to say

384
00:24:51,440 --> 00:24:55,040
Speaker 1: like you know, it should have or absolutely could have

385
00:24:55,119 --> 00:24:56,720
Speaker 1: been rolled out early. I mean, I think a lot

386
00:24:56,720 --> 00:24:59,040
Speaker 1: of people will be asking questions given the amount of

387
00:24:59,040 --> 00:25:02,040
Speaker 1: people who passed a A. But I think that's where

388
00:25:02,200 --> 00:25:04,640
Speaker 1: a lot of like in the science community, they're really

389
00:25:04,640 --> 00:25:07,159
Speaker 1: trying to take this as like they're you know this

390
00:25:07,240 --> 00:25:10,040
Speaker 1: one person who was sort of commenting on the article

391
00:25:10,040 --> 00:25:12,240
Speaker 1: is saying, like the difference between what war warfare looked

392
00:25:12,240 --> 00:25:14,040
Speaker 1: like in ninety eight versus what it looked like in

393
00:25:15,680 --> 00:25:19,399
Speaker 1: and knowing like you gotta go through some ship like

394
00:25:19,480 --> 00:25:23,359
Speaker 1: this to really figure like, oh, we're absolutely like we

395
00:25:23,359 --> 00:25:26,399
Speaker 1: actually need to completely rearrange things. And so one of

396
00:25:26,440 --> 00:25:29,359
Speaker 1: the big things is like right now, Um, there's a

397
00:25:29,600 --> 00:25:32,879
Speaker 1: vaccine scientists at Mount Sine Hospital who's saying, when you

398
00:25:32,920 --> 00:25:37,040
Speaker 1: look at these pandemics or illnesses that go from animal

399
00:25:37,080 --> 00:25:39,239
Speaker 1: to human, like in terms of transmission, there are only

400
00:25:39,320 --> 00:25:41,520
Speaker 1: a small number of ways for that to happen in

401
00:25:41,520 --> 00:25:45,560
Speaker 1: Influenza and coronavirus are the pretty much the biggest contributors.

402
00:25:45,920 --> 00:25:48,680
Speaker 1: So there's a way to get ahead of it. Um,

403
00:25:48,720 --> 00:25:51,240
Speaker 1: And this expert was saying, what you could address most

404
00:25:51,240 --> 00:25:53,480
Speaker 1: of the risk of new pandemics by mapping and prepping

405
00:25:53,560 --> 00:25:56,960
Speaker 1: vaccines for between fifty and a hundred viruses. He says

406
00:25:56,960 --> 00:25:59,040
Speaker 1: you could have banked vaccines for all of them at

407
00:25:59,040 --> 00:26:02,160
Speaker 1: a cost between one and three billion dollars, and saying,

408
00:26:02,200 --> 00:26:04,359
Speaker 1: if you just have these, you know, fifty to a

409
00:26:04,440 --> 00:26:07,800
Speaker 1: hundred virus vaccines, you can get ahead of it, start

410
00:26:07,840 --> 00:26:11,400
Speaker 1: doing efficacy testing, safety testing, and then do with what

411
00:26:11,440 --> 00:26:13,639
Speaker 1: we're doing now, which is sort of try and fine

412
00:26:13,680 --> 00:26:16,600
Speaker 1: tune it based on like you know, now the pharmaceutical

413
00:26:16,640 --> 00:26:18,600
Speaker 1: companies are trying to figure out booster shots to keep

414
00:26:18,680 --> 00:26:21,399
Speaker 1: up with mutations. So at least if we have the

415
00:26:21,440 --> 00:26:25,119
Speaker 1: groundwork done very quickly, then we can sort of we

416
00:26:25,160 --> 00:26:27,080
Speaker 1: can skip ahead to the steps that we really need

417
00:26:27,119 --> 00:26:30,240
Speaker 1: to make the vaccine like tailor made to whatever illnesses

418
00:26:30,280 --> 00:26:33,480
Speaker 1: out there. So it's just like a very it's a

419
00:26:33,480 --> 00:26:35,520
Speaker 1: lot to think about. But these are things that I

420
00:26:35,560 --> 00:26:38,560
Speaker 1: had not really understood because for the longest time it

421
00:26:38,640 --> 00:26:41,080
Speaker 1: was like, we're waiting for a vaccine until we find

422
00:26:41,119 --> 00:26:44,159
Speaker 1: the vaccine, knowing it was that we were just trying

423
00:26:44,160 --> 00:26:47,960
Speaker 1: to make sure that it was as safe as possible. Well,

424
00:26:48,080 --> 00:26:50,399
Speaker 1: many people passed away, but when you look at a

425
00:26:50,400 --> 00:26:53,400
Speaker 1: lot of you know, like polio or other vaccines, they

426
00:26:53,400 --> 00:26:56,919
Speaker 1: typically come at the end of the you know, the

427
00:26:57,000 --> 00:27:00,720
Speaker 1: cycle of the outbreak UM and this is unfortunately a

428
00:27:00,800 --> 00:27:02,880
Speaker 1: moment like that, I mean versus like one they could

429
00:27:02,880 --> 00:27:05,560
Speaker 1: like sort of stop in its tracks being like polio

430
00:27:05,680 --> 00:27:08,520
Speaker 1: what oh talk, No we call that no leo Now

431
00:27:08,520 --> 00:27:11,239
Speaker 1: with this vaccine. No, it's gonna take a little bit

432
00:27:11,240 --> 00:27:18,520
Speaker 1: of time. But yeah quote yeah Jay sulk in the building,

433
00:27:19,600 --> 00:27:26,359
Speaker 1: no leo. Um, yeah, it's it is. I think I

434
00:27:26,359 --> 00:27:30,160
Speaker 1: think people I'm definitely surprised to learn that they basically

435
00:27:30,200 --> 00:27:32,960
Speaker 1: had the vaccine the whole the whole time, and we're

436
00:27:33,000 --> 00:27:36,920
Speaker 1: just testing it too, too, Like I had some sense

437
00:27:36,960 --> 00:27:39,000
Speaker 1: that that was true, but I didn't realize that it

438
00:27:39,080 --> 00:27:42,159
Speaker 1: was like locked in. Like how many of the vaccines

439
00:27:42,720 --> 00:27:48,359
Speaker 1: that they tested were like did have negative reactions? I wonder,

440
00:27:48,600 --> 00:27:52,040
Speaker 1: you know, like yeah, I mean they say that that

441
00:27:52,119 --> 00:27:57,359
Speaker 1: process saved us from but well, the testing is necessary,

442
00:27:57,400 --> 00:28:00,600
Speaker 1: you know, figuring out if it's safe. I think I

443
00:28:00,640 --> 00:28:02,560
Speaker 1: think we could have done a lot of things like

444
00:28:03,480 --> 00:28:09,359
Speaker 1: in um adjacent departments, you know, logistics, how we're going

445
00:28:09,400 --> 00:28:12,400
Speaker 1: to distribute it, Like I think that could have all

446
00:28:12,440 --> 00:28:17,480
Speaker 1: been twinned sooner. And while there was a long time

447
00:28:17,520 --> 00:28:21,160
Speaker 1: table before the the vaccine got approved, like we could

448
00:28:21,160 --> 00:28:25,160
Speaker 1: have been better prepared to to actually ship it out

449
00:28:25,320 --> 00:28:27,919
Speaker 1: and get it to pile. I think this kind of

450
00:28:27,960 --> 00:28:31,440
Speaker 1: goes along with even like the last story of Hygiene

451
00:28:31,480 --> 00:28:34,800
Speaker 1: Theater is that it's also important for the science community

452
00:28:34,800 --> 00:28:38,480
Speaker 1: to be as transparent as possible too, because you don't

453
00:28:38,480 --> 00:28:42,360
Speaker 1: want to read some ship like they knew in January

454
00:28:42,440 --> 00:28:44,520
Speaker 1: like what the vaccine was, and it's not that they knew,

455
00:28:44,560 --> 00:28:48,000
Speaker 1: but they were working on it very quickly. But there's

456
00:28:48,040 --> 00:28:50,760
Speaker 1: also something to saying like yeah, like we had to

457
00:28:50,800 --> 00:28:53,600
Speaker 1: make sure next time this is like what's going to happen,

458
00:28:53,840 --> 00:28:56,360
Speaker 1: or saying like hey, we know we said spray everything

459
00:28:56,360 --> 00:28:59,600
Speaker 1: the funk down. We realized, you know, this is actually

460
00:28:59,680 --> 00:29:01,840
Speaker 1: what's going going on, because I think that's also I

461
00:29:01,840 --> 00:29:04,520
Speaker 1: think there are people who are willing to just trust

462
00:29:04,520 --> 00:29:07,120
Speaker 1: the science community and others where a little bit more

463
00:29:07,160 --> 00:29:09,640
Speaker 1: work has to be done because they're not, as you know,

464
00:29:09,840 --> 00:29:13,120
Speaker 1: focused on what it means the processes of research where

465
00:29:13,160 --> 00:29:15,440
Speaker 1: it's like more like the sciences like, hey, we're the

466
00:29:15,480 --> 00:29:18,400
Speaker 1: ones doing the work way out ahead. So in the

467
00:29:18,440 --> 00:29:21,600
Speaker 1: process we we learned ship and we realize some other

468
00:29:21,680 --> 00:29:24,920
Speaker 1: ship we thought was true. Isn't that's just the scientific method.

469
00:29:25,280 --> 00:29:28,120
Speaker 1: But I think allowing for like that sort of transparency

470
00:29:28,160 --> 00:29:30,960
Speaker 1: would just kind of also helped build more trust. Not

471
00:29:31,040 --> 00:29:33,920
Speaker 1: that I'm like, I'm completely skeptical now, but I think

472
00:29:33,920 --> 00:29:35,840
Speaker 1: that's an important thing for the science community. I think

473
00:29:35,840 --> 00:29:39,280
Speaker 1: they're also coming to grips with that idea as well

474
00:29:39,320 --> 00:29:41,440
Speaker 1: of saying, like, there were things we got wrong, there

475
00:29:41,480 --> 00:29:45,040
Speaker 1: were things we didn't know, and what can we also say,

476
00:29:45,080 --> 00:29:47,320
Speaker 1: like how can we communicate these things clearly so people

477
00:29:47,400 --> 00:29:50,680
Speaker 1: understand where we're coming from in our research. Yeah, I

478
00:29:50,720 --> 00:29:54,400
Speaker 1: think anytime you're doing this abstract thing where or any

479
00:29:54,480 --> 00:29:58,040
Speaker 1: time you're doing this messaging thing where you're viewing the population,

480
00:29:58,120 --> 00:30:01,600
Speaker 1: is this abstract like kind of heard of animals that

481
00:30:01,680 --> 00:30:04,480
Speaker 1: you have to like get this messaging, you know, hide

482
00:30:04,480 --> 00:30:09,000
Speaker 1: certain things and reveal certain things. I think that that

483
00:30:09,160 --> 00:30:14,000
Speaker 1: is based on the myth that undergirds like all of

484
00:30:14,040 --> 00:30:17,280
Speaker 1: American society, which is this like elitism that's like, well,

485
00:30:17,360 --> 00:30:19,840
Speaker 1: only the people who went to Ivy League schools can

486
00:30:20,480 --> 00:30:24,680
Speaker 1: be interd r and so we have to be the

487
00:30:24,720 --> 00:30:27,120
Speaker 1: only ones who know it. And it's it's actually just

488
00:30:27,200 --> 00:30:31,200
Speaker 1: like a self justifying like bullshit, you know, it's a

489
00:30:31,200 --> 00:30:37,480
Speaker 1: way to kind of keep the logic of American capitalism intact,

490
00:30:37,880 --> 00:30:41,920
Speaker 1: and it's it's actually really harmful, like it people, if

491
00:30:41,960 --> 00:30:46,479
Speaker 1: you tell the truth, just like tell the people what

492
00:30:46,480 --> 00:30:50,680
Speaker 1: what is actually happening, like, you're gonna have much better results.

493
00:30:50,720 --> 00:30:54,360
Speaker 1: But it just seems like that doing that is like

494
00:30:55,000 --> 00:30:58,200
Speaker 1: undercuts everything they want to tell them, want to believe

495
00:30:58,240 --> 00:31:03,080
Speaker 1: and tell themselves about like how elitism works. I think

496
00:31:03,080 --> 00:31:08,640
Speaker 1: there's a fine line too, between like encouraging you know,

497
00:31:08,760 --> 00:31:14,720
Speaker 1: best practices and then going overkill with that sort of paranoia. Uh,

498
00:31:15,360 --> 00:31:18,720
Speaker 1: hand sanitizer in every corner because the more like the

499
00:31:18,760 --> 00:31:22,800
Speaker 1: more visible that stuff is and the more everybody shoves

500
00:31:22,840 --> 00:31:26,480
Speaker 1: down your throat, Hey, wipe down all your groceries, wash

501
00:31:26,520 --> 00:31:31,440
Speaker 1: your hand, Like that's gonna cause so much burnout, Right

502
00:31:32,160 --> 00:31:35,840
Speaker 1: when when we are all vaccinated and there hasn't been

503
00:31:35,880 --> 00:31:38,000
Speaker 1: any new case that people are going to be like, well,

504
00:31:38,400 --> 00:31:41,720
Speaker 1: fuck hand sanitizer for the rest of my life. Right,

505
00:31:41,840 --> 00:31:44,320
Speaker 1: there was that point. There's a point early on and

506
00:31:44,360 --> 00:31:47,080
Speaker 1: even the hygiene theater piece kind of from the AP

507
00:31:47,280 --> 00:31:49,840
Speaker 1: talks about this that like they got it rolling at first.

508
00:31:50,080 --> 00:31:54,360
Speaker 1: They were like, wipe your groceries down, don't waste masks

509
00:31:54,400 --> 00:31:58,560
Speaker 1: if you're not you know, a frontline worker. And then

510
00:31:59,080 --> 00:32:00,800
Speaker 1: at a certain point they're like, oh, Ship, we got

511
00:32:00,800 --> 00:32:04,760
Speaker 1: that totally wrong. But yeah, there wasn't that. Oh Ship,

512
00:32:04,840 --> 00:32:06,920
Speaker 1: we got that Like that should have been the headline

513
00:32:06,960 --> 00:32:08,480
Speaker 1: on the New York Times. Oh Ship, we had it

514
00:32:08,560 --> 00:32:11,880
Speaker 1: totally wrong. Like we acknowledge that we're figuring this out

515
00:32:11,920 --> 00:32:15,400
Speaker 1: as we go and like just not putting that right

516
00:32:15,440 --> 00:32:18,440
Speaker 1: out in front and like assuming that you were handling

517
00:32:18,840 --> 00:32:21,640
Speaker 1: like it's this like whole pr thing. It's like, well,

518
00:32:21,680 --> 00:32:23,960
Speaker 1: how do we message that we got it totally wrong.

519
00:32:23,960 --> 00:32:26,320
Speaker 1: It's like just say you got it wrong and that

520
00:32:26,360 --> 00:32:30,080
Speaker 1: we're like now fixing that we're reacting to new information,

521
00:32:30,320 --> 00:32:33,240
Speaker 1: and just assume that people can fucking deal with that,

522
00:32:33,720 --> 00:32:37,440
Speaker 1: because anytime you're like hiding it or soft pedaling it

523
00:32:37,560 --> 00:32:40,880
Speaker 1: or like doing something some sort of like jiu jitsu

524
00:32:41,000 --> 00:32:44,000
Speaker 1: with the with the fact, it opens it up to

525
00:32:44,720 --> 00:32:47,960
Speaker 1: you know, the other side of the administration being able

526
00:32:48,040 --> 00:32:51,520
Speaker 1: to manipulate Ship and actually lie about it. It's because

527
00:32:51,520 --> 00:32:54,600
Speaker 1: they treat us like kids. So it's like how your

528
00:32:54,640 --> 00:32:57,280
Speaker 1: parents only tell you some shit about drugs rolling up

529
00:32:57,480 --> 00:33:01,040
Speaker 1: and oh really, oh really, yeah are getting around You're like, man,

530
00:33:01,040 --> 00:33:03,040
Speaker 1: they didn't know shit about what the funk were they

531
00:33:03,080 --> 00:33:05,320
Speaker 1: talking about because they were just trying to protect you

532
00:33:05,560 --> 00:33:09,000
Speaker 1: or whatever. And I think that similar relationship of like

533
00:33:09,440 --> 00:33:12,040
Speaker 1: not giving everybody the truth and being like, well, we

534
00:33:12,040 --> 00:33:14,040
Speaker 1: need to say this in order to sort of keep

535
00:33:14,080 --> 00:33:18,120
Speaker 1: this certain behavior up. Also isn't a good relationship to

536
00:33:18,160 --> 00:33:20,840
Speaker 1: have with like the mat like you know, the masses

537
00:33:20,880 --> 00:33:23,480
Speaker 1: and the science community, not to say that it's all bad,

538
00:33:23,520 --> 00:33:25,600
Speaker 1: because yeah, I get it, Like they also don't want

539
00:33:25,640 --> 00:33:29,400
Speaker 1: to undermine themselves by unfortunately saying like we got that wrong,

540
00:33:29,760 --> 00:33:33,240
Speaker 1: and because because they know that will in some people's eyes,

541
00:33:33,400 --> 00:33:37,600
Speaker 1: undermine their expertise, while other people who you know, understand

542
00:33:37,720 --> 00:33:42,000
Speaker 1: what experimentation works and research is that it's something that's evolving,

543
00:33:42,440 --> 00:33:45,280
Speaker 1: um over time. It could have also been a straight

544
00:33:45,360 --> 00:33:49,640
Speaker 1: up priority thing, like they were like, well let them

545
00:33:49,680 --> 00:33:52,800
Speaker 1: have their hand sanitizer. We're too busy telling people not

546
00:33:52,880 --> 00:33:58,360
Speaker 1: to drink bleach, right, you know, Yeah, there weren't a

547
00:33:58,400 --> 00:34:01,760
Speaker 1: lot of great options real because then I guess it's

548
00:34:01,760 --> 00:34:04,320
Speaker 1: like a parent who's like, Okay, we have our one

549
00:34:04,400 --> 00:34:07,640
Speaker 1: kid we really love who's smart and gets it, knows

550
00:34:07,680 --> 00:34:10,760
Speaker 1: what science is. Then we've got that other fucking kid

551
00:34:11,400 --> 00:34:14,560
Speaker 1: who if we get one thing wrong, they're gonna be

552
00:34:14,640 --> 00:34:17,920
Speaker 1: eaten tide pods again. So we got to split the

553
00:34:18,040 --> 00:34:21,480
Speaker 1: difference and just give blanket guidance that we know if

554
00:34:21,520 --> 00:34:24,480
Speaker 1: they follow this at the very least, that will mitigate

555
00:34:24,680 --> 00:34:27,920
Speaker 1: some sort of transmission risk. But yeah, yeah, it's tough,

556
00:34:28,280 --> 00:34:31,360
Speaker 1: and I'm sure there's legal liabilities that are like beyond

557
00:34:31,400 --> 00:34:37,560
Speaker 1: our understanding, but like that's just a it's that our culture,

558
00:34:37,680 --> 00:34:40,960
Speaker 1: like things like that have become so complex that it's

559
00:34:41,000 --> 00:34:43,680
Speaker 1: just like we we do at at a certain point

560
00:34:43,760 --> 00:34:47,040
Speaker 1: just be like tell people the truth. They can they

561
00:34:47,040 --> 00:34:49,320
Speaker 1: can deal with it. Yeah, but even though we're in

562
00:34:49,360 --> 00:34:54,120
Speaker 1: a post truth era, it's like no, but I mean

563
00:34:54,120 --> 00:34:57,280
Speaker 1: this seems like one where it was pretty clear cut,

564
00:34:57,600 --> 00:35:01,239
Speaker 1: like in terms of the the pandemic and like what

565
00:35:01,880 --> 00:35:05,399
Speaker 1: just like get get the information to people and as

566
00:35:05,719 --> 00:35:10,160
Speaker 1: quickly and as in and in as straightforward a manner

567
00:35:10,200 --> 00:35:14,560
Speaker 1: as possible, or they like could could frame it in

568
00:35:14,600 --> 00:35:17,160
Speaker 1: a different way rather than saying like, hey, we were

569
00:35:17,239 --> 00:35:21,279
Speaker 1: looked about this like like guess what, due to new

570
00:35:21,320 --> 00:35:26,200
Speaker 1: information we've got, we're announcing fuck hand sanitizer day. Or

571
00:35:26,280 --> 00:35:30,240
Speaker 1: to say I think the difference is not saying right

572
00:35:30,440 --> 00:35:35,320
Speaker 1: or wrong and using that binary. But you're learning, You're

573
00:35:35,320 --> 00:35:38,960
Speaker 1: we are learning. We have been struck with an a

574
00:35:39,120 --> 00:35:41,839
Speaker 1: virus that has not been known to us, and we

575
00:35:41,880 --> 00:35:46,040
Speaker 1: are learning about it as time goes on. We have

576
00:35:46,200 --> 00:35:50,279
Speaker 1: now learned that the initial analysis that we thought that

577
00:35:50,320 --> 00:35:54,000
Speaker 1: there could be surface transmission is actually it's okay. Now

578
00:35:54,040 --> 00:35:57,239
Speaker 1: that's what we have learned. Now, are you guys gonna

579
00:35:57,239 --> 00:36:00,440
Speaker 1: be mass people going forward? Like when you fly on

580
00:36:00,440 --> 00:36:03,600
Speaker 1: an airplane, are you gonna bring a mask? Rock a mask?

581
00:36:03,680 --> 00:36:06,200
Speaker 1: I feel like I'm gonna be masks from here on out?

582
00:36:06,680 --> 00:36:10,400
Speaker 1: What do you mean? Like why? Like, oh, just because

583
00:36:10,440 --> 00:36:13,640
Speaker 1: like thinking that the pandemic is over, therefore cast your

584
00:36:13,680 --> 00:36:17,120
Speaker 1: masks off beef. So No, I mean, I just think

585
00:36:17,160 --> 00:36:21,440
Speaker 1: it's seems like good practice, Yeah, on an airplane, given

586
00:36:21,480 --> 00:36:27,280
Speaker 1: that theirs over every single time I fly, Like that's

587
00:36:27,600 --> 00:36:30,200
Speaker 1: right exactly, And like I think the few times I

588
00:36:30,239 --> 00:36:32,799
Speaker 1: get like I've been gotten really sick, it's been from

589
00:36:32,840 --> 00:36:35,799
Speaker 1: air travel, um, so and I'm like, what do I

590
00:36:35,840 --> 00:36:38,120
Speaker 1: need a mask for? Meanwhile, there's like someone just with

591
00:36:38,160 --> 00:36:40,759
Speaker 1: a whose fever sweat is like getting all over the

592
00:36:40,760 --> 00:36:44,239
Speaker 1: back of my head, and I'm like, yeah, one other

593
00:36:44,680 --> 00:36:49,320
Speaker 1: kind of way that vaccine responses being complicated. Uh, that

594
00:36:49,400 --> 00:36:54,240
Speaker 1: we're we're seeing in Canada. Um, so Canada is actually

595
00:36:54,960 --> 00:36:59,920
Speaker 1: to our writer Jam McNab is, uh, you know, live

596
00:37:00,120 --> 00:37:05,000
Speaker 1: in Canada and for most of the he's Canadian. Yeah,

597
00:37:05,239 --> 00:37:07,880
Speaker 1: lives in Canada. And Miles, I don't want to out him,

598
00:37:07,920 --> 00:37:10,040
Speaker 1: you don't want to admit him. Yeah, come on, man,

599
00:37:10,640 --> 00:37:15,759
Speaker 1: how do I say this? He's located in Canada, his

600
00:37:15,880 --> 00:37:18,799
Speaker 1: physical location is Canada. How do I say is he's

601
00:37:18,840 --> 00:37:26,880
Speaker 1: like a Blue Jays fan if you um smells of

602
00:37:32,120 --> 00:37:35,840
Speaker 1: h But he's pointing out that, like the tables have

603
00:37:36,560 --> 00:37:41,160
Speaker 1: turned of late and now the CDC has issued a

604
00:37:41,239 --> 00:37:45,680
Speaker 1: level for travel advisory warning people from the US to

605
00:37:46,000 --> 00:37:49,680
Speaker 1: stay the funk out of Canada. And a big part

606
00:37:49,680 --> 00:37:53,840
Speaker 1: of the reason is because of just a really fucked

607
00:37:53,920 --> 00:37:59,920
Speaker 1: vaccine rollout. Uh. And it's also like he doesn't explicit

608
00:38:00,040 --> 00:38:01,920
Speaker 1: you call this out, but there seems to be a

609
00:38:01,960 --> 00:38:05,640
Speaker 1: lot of ways in which like they suffer from some

610
00:38:05,719 --> 00:38:09,239
Speaker 1: of the same issues we have where um, you know,

611
00:38:09,280 --> 00:38:13,160
Speaker 1: they used to have these big factories in the seventies

612
00:38:13,200 --> 00:38:16,880
Speaker 1: that would have been great at producing vaccines and just

613
00:38:16,920 --> 00:38:21,120
Speaker 1: like getting things off the ground, and then they because

614
00:38:21,160 --> 00:38:25,239
Speaker 1: they didn't like make money during non pandemic years, sell

615
00:38:25,280 --> 00:38:29,080
Speaker 1: it off to foreign companies, and like now they don't

616
00:38:29,120 --> 00:38:32,480
Speaker 1: have factories to make vaccines, and it's just all you know,

617
00:38:32,920 --> 00:38:35,520
Speaker 1: we've seen this the tailor as old as time. The

618
00:38:35,600 --> 00:38:41,040
Speaker 1: logic of letting international markets fucking run your entire like

619
00:38:41,239 --> 00:38:44,759
Speaker 1: every aspect of your culture, Like it doesn't work out

620
00:38:44,960 --> 00:38:48,800
Speaker 1: so well when your society is hit with a big

621
00:38:48,800 --> 00:38:52,680
Speaker 1: like unexpected pandemic. It's also like unfortunate too because for

622
00:38:52,719 --> 00:38:54,839
Speaker 1: all the things that is, Americans are like, oh man,

623
00:38:54,960 --> 00:38:58,040
Speaker 1: like fuck yeah, Canada like do that ship like you know,

624
00:38:58,560 --> 00:39:01,560
Speaker 1: set the prices of drugs, you know, like so it's

625
00:39:01,560 --> 00:39:05,160
Speaker 1: not you're not people aren't getting gouged. That like also

626
00:39:05,360 --> 00:39:10,200
Speaker 1: unfortunately had the the fucking the effect of pharmaceutical companies

627
00:39:10,280 --> 00:39:11,920
Speaker 1: being like, oh do we don't want to funk with

628
00:39:11,960 --> 00:39:14,680
Speaker 1: Canada because they're all like trying to advocate for their people.

629
00:39:15,080 --> 00:39:18,040
Speaker 1: So it was like because of that, yeah, just like

630
00:39:18,040 --> 00:39:21,719
Speaker 1: a really fucked up relationship. But where that's where you know,

631
00:39:21,920 --> 00:39:25,000
Speaker 1: big pharma will sort of lash out because you're trying

632
00:39:25,040 --> 00:39:28,640
Speaker 1: to ensure equitable outcomes for your citizens. Yeah, that's right,

633
00:39:28,680 --> 00:39:31,760
Speaker 1: don't look forward to that. I told you so, finger

634
00:39:31,840 --> 00:39:40,080
Speaker 1: wag from people against universalcare. Trudeau pitched the idea of

635
00:39:40,120 --> 00:39:44,280
Speaker 1: manufacturing the Fiser vaccine in Canada, but the company wanted

636
00:39:44,320 --> 00:39:47,120
Speaker 1: to move as fast as the speed of science would

637
00:39:47,160 --> 00:39:53,360
Speaker 1: allow uh, and Canada lacked the necessary capacity to manufacture

638
00:39:53,440 --> 00:39:58,040
Speaker 1: the vaccine UH in quantities. I mean, it's it's basically

639
00:39:58,040 --> 00:40:01,920
Speaker 1: what we said before, because they head factories that weren't

640
00:40:01,920 --> 00:40:06,480
Speaker 1: profitable and didn't you know, stay in business yeah, through

641
00:40:06,560 --> 00:40:09,359
Speaker 1: the seventies and eighties. I mean yeah, it's just like

642
00:40:10,160 --> 00:40:15,239
Speaker 1: it has so many layers of the ills of our

643
00:40:15,320 --> 00:40:17,839
Speaker 1: modern world on it too, where that you can, if

644
00:40:17,840 --> 00:40:21,400
Speaker 1: you're a uh, progressive person, you'd be like, oh, yeah,

645
00:40:21,440 --> 00:40:25,480
Speaker 1: what the fuck that the fun big pharma, which I

646
00:40:25,520 --> 00:40:27,880
Speaker 1: think is the cry of most people on this planet.

647
00:40:28,560 --> 00:40:31,080
Speaker 1: And then just kind of underlying the fact that even

648
00:40:31,120 --> 00:40:34,319
Speaker 1: a huge nation like Canada then becomes dependent on these

649
00:40:34,360 --> 00:40:38,920
Speaker 1: like external providers of the vaccine and how that can

650
00:40:38,960 --> 00:40:43,040
Speaker 1: exacerbate their vaccine rollout and just us in the US

651
00:40:43,120 --> 00:40:49,839
Speaker 1: being like, no, we're keeping all the vaccine. Yeah, yeah, potentially,

652
00:40:49,880 --> 00:40:53,040
Speaker 1: that's I mean, which is also another very Americans, fuck

653
00:40:53,120 --> 00:40:58,080
Speaker 1: everybody else, it's ours. Although we did we did loan

654
00:40:58,160 --> 00:41:01,080
Speaker 1: them some vaccines I think was word. Yeah, they just

655
00:41:01,120 --> 00:41:03,399
Speaker 1: have to give it back, to give the vaccines back

656
00:41:03,440 --> 00:41:09,080
Speaker 1: to us that they're done with. All right, let's take

657
00:41:09,360 --> 00:41:11,760
Speaker 1: another quick break and we'll be right back to talk

658
00:41:11,840 --> 00:41:16,040
Speaker 1: some Matt Gates, the subject that keeps on giving lock

659
00:41:16,160 --> 00:41:31,880
Speaker 1: the Gates, and we're back and all right. So more

660
00:41:32,600 --> 00:41:37,239
Speaker 1: continues to be revealed about Matt Gates and his you

661
00:41:37,280 --> 00:41:39,799
Speaker 1: know what, what his time and power has been like,

662
00:41:40,480 --> 00:41:43,640
Speaker 1: and people are now taking a second look at how

663
00:41:43,840 --> 00:41:47,640
Speaker 1: he was behaving towards the end of the Trump administration, uh,

664
00:41:47,640 --> 00:41:53,160
Speaker 1: specifically when the only thing that anybody really cared about

665
00:41:53,560 --> 00:41:55,800
Speaker 1: within the Trump orbit was whether they were going to

666
00:41:55,880 --> 00:42:02,560
Speaker 1: get pardoned, because that's you know, that's what. Yeah, some

667
00:42:02,600 --> 00:42:05,840
Speaker 1: pieces were like yeah, I think so. It just looks

668
00:42:06,400 --> 00:42:09,080
Speaker 1: it's as it's almost as if he knew what was

669
00:42:09,120 --> 00:42:11,960
Speaker 1: going He almost it's as if he knew the person

670
00:42:12,080 --> 00:42:15,920
Speaker 1: he was and the liability that he faced, because two

671
00:42:16,000 --> 00:42:21,839
Speaker 1: weeks after the election, Gates was just out there saying like,

672
00:42:22,040 --> 00:42:26,480
Speaker 1: you gotta pardon fucking everybody before the radical left get

673
00:42:26,520 --> 00:42:29,200
Speaker 1: the radical left gets their clause in you. And it's like,

674
00:42:29,320 --> 00:42:31,879
Speaker 1: what and that Matt Gates a quote he should pardon

675
00:42:31,920 --> 00:42:35,800
Speaker 1: the Thanksgiving Turkey. Uh, he should pardon everyone, from himself

676
00:42:35,960 --> 00:42:39,640
Speaker 1: to his administration officials, you know, to Joe Exotic if

677
00:42:39,640 --> 00:42:42,399
Speaker 1: he has to. And I was like, what the fun? Okay,

678
00:42:42,440 --> 00:42:47,160
Speaker 1: so you want everyone pardoned for everything? And I mean

679
00:42:47,239 --> 00:42:49,600
Speaker 1: it felt like, Okay, that just seems like a very

680
00:42:49,600 --> 00:42:52,080
Speaker 1: normal Fox News he kind of take of just sort

681
00:42:52,080 --> 00:42:56,560
Speaker 1: of like fear of the left. Yeah, but then you

682
00:42:56,600 --> 00:42:58,800
Speaker 1: find out and this other this new piece in the

683
00:42:58,800 --> 00:43:01,080
Speaker 1: New York Times. So his quote in the final weeks

684
00:43:01,080 --> 00:43:04,280
Speaker 1: of Mr Trump's term, Mr Gates sought something in return.

685
00:43:04,360 --> 00:43:08,840
Speaker 1: He privately asked the White House for blanket preemptive pardons

686
00:43:08,880 --> 00:43:14,040
Speaker 1: for himself and unidentified congressional allies for any crimes that

687
00:43:14,200 --> 00:43:21,440
Speaker 1: may have been committed, like the download avengers, Like if

688
00:43:21,440 --> 00:43:25,799
Speaker 1: they torranted right right right, that's probably It's almost like

689
00:43:25,920 --> 00:43:30,160
Speaker 1: he knew that he had committed these crimes almost. I mean,

690
00:43:30,400 --> 00:43:33,880
Speaker 1: according to you know, the timeline of this investigation, it

691
00:43:33,960 --> 00:43:36,000
Speaker 1: may have it sounds like it may have begun sometime

692
00:43:36,040 --> 00:43:38,840
Speaker 1: in the summer of so he may have known. He

693
00:43:38,880 --> 00:43:41,319
Speaker 1: may have been sweating for quite a bit of time.

694
00:43:41,640 --> 00:43:43,759
Speaker 1: And when you just sort of look at his behavior

695
00:43:43,840 --> 00:43:48,360
Speaker 1: throughout Trump's term, it really kind of looks like because

696
00:43:48,400 --> 00:43:50,840
Speaker 1: you're like, Damn mc gates is doing the fucking most

697
00:43:51,000 --> 00:43:52,920
Speaker 1: right now just to get on his good side. Although

698
00:43:52,960 --> 00:43:54,680
Speaker 1: where everyone was like, yeah, he's probably racist, like all

699
00:43:54,680 --> 00:43:57,160
Speaker 1: of them, Yeah, probably that too, but also a sick

700
00:43:57,200 --> 00:44:00,120
Speaker 1: of fan who had like eyes on something may be

701
00:44:00,200 --> 00:44:03,319
Speaker 1: down the road to really align himself with Trump, because

702
00:44:03,320 --> 00:44:07,319
Speaker 1: if you remember, he threatened Michael Cohen Um and like

703
00:44:07,480 --> 00:44:09,680
Speaker 1: they referred it to the Florida Bar because they're like,

704
00:44:09,960 --> 00:44:13,840
Speaker 1: this is witness intimidation. He remember he stormed the fucking

705
00:44:14,000 --> 00:44:18,120
Speaker 1: skiff during the first Um impeachment hearing when there's a

706
00:44:18,160 --> 00:44:20,840
Speaker 1: Testimo gonna with all those other idiot Congress people in

707
00:44:20,880 --> 00:44:23,880
Speaker 1: the ordered pizza and shipped to completely disrupt the hearing.

708
00:44:24,320 --> 00:44:29,080
Speaker 1: He regularly made an ass out of himself, debasing himself

709
00:44:29,120 --> 00:44:31,680
Speaker 1: at the feet of Trump, which got him a lot

710
00:44:31,719 --> 00:44:34,400
Speaker 1: of FaceTime, you know what I mean, Like his status

711
00:44:34,440 --> 00:44:36,960
Speaker 1: came up because like it seemed like his formula was

712
00:44:37,200 --> 00:44:39,759
Speaker 1: the more I ride for Trump, the closest I'm gonna

713
00:44:39,760 --> 00:44:41,560
Speaker 1: get to him, and now my stars going up, And

714
00:44:41,560 --> 00:44:43,680
Speaker 1: it was I think a lot of other people in

715
00:44:43,719 --> 00:44:46,600
Speaker 1: Congress like what the where did this motherfucker come from,

716
00:44:46,719 --> 00:44:49,920
Speaker 1: because he was doing a lot to get on Trump's

717
00:44:49,920 --> 00:44:52,319
Speaker 1: good side, and I just wanted There's this. In the

718
00:44:52,360 --> 00:44:54,919
Speaker 1: New York Times article, they have an excerpt from Matt

719
00:44:54,960 --> 00:44:58,320
Speaker 1: Gates's book, which I think again shows you just how

720
00:44:58,360 --> 00:45:00,440
Speaker 1: close he wanted to be to Trump. This is from

721
00:45:00,480 --> 00:45:03,440
Speaker 1: Matt Gates's book that he wrote, quote, the President has

722
00:45:03,480 --> 00:45:05,799
Speaker 1: called me when I was in my car, asleep in

723
00:45:05,800 --> 00:45:08,280
Speaker 1: the middle of the night on my long Worth office,

724
00:45:08,360 --> 00:45:13,760
Speaker 1: caught on the throne on airplanes, in nightclubs, and even

725
00:45:13,760 --> 00:45:19,200
Speaker 1: in the throes of passion. Yes, I answered, that's important too,

726
00:45:19,239 --> 00:45:24,279
Speaker 1: because that was a school night. Yeah, I mean, like,

727
00:45:24,320 --> 00:45:26,840
Speaker 1: what the funk this guy? I mean, he's really I

728
00:45:26,880 --> 00:45:29,239
Speaker 1: think you're seeing sort of this relationship and what he

729
00:45:29,280 --> 00:45:32,960
Speaker 1: was looking for. So, yeah, it doesn't look you don't

730
00:45:32,960 --> 00:45:35,560
Speaker 1: look very innocent, sir. And now he's trying to like

731
00:45:35,680 --> 00:45:40,600
Speaker 1: fund raise off of the um uh, like you know,

732
00:45:40,680 --> 00:45:44,920
Speaker 1: these investigations, like he's sending out to his constituentcy like

733
00:45:44,920 --> 00:45:47,960
Speaker 1: like a legal defense fund or just I don't even know,

734
00:45:48,280 --> 00:45:50,239
Speaker 1: Like it doesn't even matter. It's it's gonna go straight

735
00:45:50,280 --> 00:45:52,520
Speaker 1: to his pocket anyway. So whatever they call it, it's

736
00:45:52,560 --> 00:45:58,880
Speaker 1: just there's but he I mean unless he gets actually prosecuted,

737
00:45:59,400 --> 00:46:02,640
Speaker 1: Like he doesn't really have any incentive. It seems like,

738
00:46:03,320 --> 00:46:08,680
Speaker 1: you know, the Cuomo playbook seems to be pretty successful.

739
00:46:08,840 --> 00:46:11,760
Speaker 1: Like I I'm I'd be surprised if he actually steps

740
00:46:11,800 --> 00:46:16,640
Speaker 1: down unless he's uh actually indicted. Yeah no, I mean

741
00:46:16,640 --> 00:46:19,120
Speaker 1: why would It seems like the same with Cuomo is

742
00:46:19,160 --> 00:46:22,239
Speaker 1: just gonna be like what okay, Well, yeah, there's a

743
00:46:22,239 --> 00:46:24,239
Speaker 1: calculus to it. It's like if I, if I have

744
00:46:24,320 --> 00:46:28,440
Speaker 1: a certain amount of support or whatever, and the alternatives

745
00:46:28,440 --> 00:46:31,640
Speaker 1: don't seem as appealing, then I'll just deny, deny, deny,

746
00:46:31,840 --> 00:46:33,960
Speaker 1: and I'll get through the bad press and then I

747
00:46:34,000 --> 00:46:36,839
Speaker 1: can still, you know, stay in office and be an

748
00:46:36,880 --> 00:46:43,640
Speaker 1: absolute violator. Yeah, alright, let's talk about ketchup. Thank god finally,

749
00:46:44,239 --> 00:46:50,160
Speaker 1: am I right? Uh, we are experiencing a nationwide ketchup shortage,

750
00:46:50,840 --> 00:46:54,400
Speaker 1: which you know, I felt like it was only a

751
00:46:54,400 --> 00:46:57,160
Speaker 1: matter of time because there, in my opinion, there's only

752
00:46:57,200 --> 00:47:02,600
Speaker 1: one good brand of catchup, and you know that that

753
00:47:02,640 --> 00:47:06,239
Speaker 1: creates a I'm gonna go ahead and say a bottleneck.

754
00:47:06,920 --> 00:47:09,840
Speaker 1: Oh wow, where uh you should have tapped to the

755
00:47:09,840 --> 00:47:12,880
Speaker 1: fifty seven? Then yeah, I guess America should have tapped

756
00:47:12,880 --> 00:47:16,799
Speaker 1: the fifty seven. But yeah, so what why how's the

757
00:47:16,840 --> 00:47:21,960
Speaker 1: pandemic causing? Uh, there's so many like it's all the band. Okay. So,

758
00:47:22,080 --> 00:47:25,280
Speaker 1: first of all, when sit down restaurants, essince you became

759
00:47:25,400 --> 00:47:29,800
Speaker 1: take out restaurants, that just made individual catchup packets the

760
00:47:30,040 --> 00:47:34,640
Speaker 1: go to condiment that people you were sending people off with. Second,

761
00:47:34,880 --> 00:47:37,839
Speaker 1: because of the precautions, even if you had some form

762
00:47:37,880 --> 00:47:41,160
Speaker 1: of dining, they were saying, you know, let's avoid having

763
00:47:41,239 --> 00:47:44,440
Speaker 1: shared condiment bottles on tables just to keep everything as

764
00:47:44,480 --> 00:47:47,719
Speaker 1: sanitary a spot. Give people packets, don't allow them to

765
00:47:48,320 --> 00:47:50,680
Speaker 1: put their fork or knife or whatever, and to catch

766
00:47:50,719 --> 00:47:53,720
Speaker 1: up bottle and then like leave that for the next customer,

767
00:47:54,280 --> 00:47:59,959
Speaker 1: and to keep going up. So there are other things

768
00:48:00,080 --> 00:48:04,080
Speaker 1: because of this. Packet prices have gone up because the

769
00:48:04,120 --> 00:48:07,800
Speaker 1: demand is so high. The demand for packets was already

770
00:48:07,880 --> 00:48:11,000
Speaker 1: up by in July of last year, and it's only

771
00:48:11,000 --> 00:48:14,120
Speaker 1: been trending upward. And a lot of restaurants have been,

772
00:48:15,040 --> 00:48:17,800
Speaker 1: you know, not doing well because, like you're saying, Jack Kraft,

773
00:48:17,960 --> 00:48:23,759
Speaker 1: Heinz is, it's the best catchup we got, and um,

774
00:48:24,000 --> 00:48:25,920
Speaker 1: a lot of the like this research firm was saying

775
00:48:26,040 --> 00:48:29,480
Speaker 1: because of that. Heinz holds nearly seventy percent of the

776
00:48:29,560 --> 00:48:32,560
Speaker 1: market for like the ketchup market, because it's just acknowledge

777
00:48:32,560 --> 00:48:35,439
Speaker 1: of that and because of its large share, that's what's

778
00:48:35,440 --> 00:48:39,400
Speaker 1: sucking up like the entire condiment sort of industry when

779
00:48:39,440 --> 00:48:41,279
Speaker 1: it comes to catch up, because they're the biggest one

780
00:48:41,719 --> 00:48:44,560
Speaker 1: and they're now like hinz is full on create like

781
00:48:44,600 --> 00:48:48,360
Speaker 1: in an emergency mode, creating like additional manufacturing lines to

782
00:48:48,400 --> 00:48:50,400
Speaker 1: help keep up with demand. Because at the end of

783
00:48:50,400 --> 00:48:53,320
Speaker 1: the day, what this all means is nobody likes hunts

784
00:48:53,400 --> 00:48:58,600
Speaker 1: catch up, right, Yeah, it just doesn't have that. So

785
00:48:58,680 --> 00:49:02,719
Speaker 1: you're saying that um sitting on a gold mine in

786
00:49:02,800 --> 00:49:08,160
Speaker 1: my kitchen drawer. Yeah, yeah, this is exactly what my

787
00:49:08,719 --> 00:49:12,440
Speaker 1: Korean mother in law has been preparing us for for decades.

788
00:49:24,040 --> 00:49:27,920
Speaker 1: But this it sounds very similar to what caused the

789
00:49:28,160 --> 00:49:32,240
Speaker 1: toilet paper shortage. Is that it's pretty much the same

790
00:49:32,360 --> 00:49:36,560
Speaker 1: type of the same level of consumptions taking place. It's

791
00:49:36,640 --> 00:49:43,080
Speaker 1: just different delivery mechanisms and the delivery uh manufacturing chains.

792
00:49:43,400 --> 00:49:48,440
Speaker 1: So like the toilet paper that was in public places

793
00:49:48,520 --> 00:49:51,400
Speaker 1: that were no longer open or you know, public restrooms

794
00:49:51,400 --> 00:49:54,640
Speaker 1: that people were no longer using, all that toilet paper

795
00:49:54,920 --> 00:49:57,960
Speaker 1: was no longer necessary and everybody needed, you know, the

796
00:49:58,040 --> 00:50:00,319
Speaker 1: take home kind, and this is just basically need that

797
00:50:00,400 --> 00:50:03,080
Speaker 1: for ketchup, you need the the take home kind and

798
00:50:03,160 --> 00:50:07,040
Speaker 1: not the public consumption kind. Yeah, but if you're a

799
00:50:07,080 --> 00:50:10,080
Speaker 1: g you were out there stealing toilet paper from public restrooms, right,

800
00:50:10,120 --> 00:50:12,359
Speaker 1: I mean, you know, or if you're if you're smart,

801
00:50:12,400 --> 00:50:16,759
Speaker 1: you're taking handfuls at the burger stand getting ready. But

802
00:50:16,760 --> 00:50:20,080
Speaker 1: it's funny because yeah, right, Well that's the other thing

803
00:50:20,120 --> 00:50:21,880
Speaker 1: is that like a lot of companies have shifted to

804
00:50:21,960 --> 00:50:24,359
Speaker 1: just like trying to buy it, like just boxes of

805
00:50:24,400 --> 00:50:26,879
Speaker 1: it and then putting them in smaller containers to still

806
00:50:26,880 --> 00:50:29,560
Speaker 1: be able to give because people a lot of these restaurants,

807
00:50:29,560 --> 00:50:31,600
Speaker 1: like therett there are a few interviews like bar like

808
00:50:31,680 --> 00:50:36,200
Speaker 1: sports bar, tavern type places whose main you know, dishes

809
00:50:36,440 --> 00:50:39,600
Speaker 1: fries and burgers, and they're like and like this one

810
00:50:39,600 --> 00:50:42,000
Speaker 1: owners like there's no way I could have sent anything

811
00:50:42,040 --> 00:50:44,560
Speaker 1: but Hinds out with the food, Like I just in

812
00:50:45,200 --> 00:50:46,920
Speaker 1: for the years that this place has been open, it's

813
00:50:46,920 --> 00:50:48,600
Speaker 1: always been Hinds and like it was just funny. You

814
00:50:48,719 --> 00:50:51,040
Speaker 1: also reading how like restaurant tours are like having this

815
00:50:51,160 --> 00:50:54,560
Speaker 1: ideological thing of like I'm not gonna like give people

816
00:50:55,000 --> 00:51:00,000
Speaker 1: and these there's some other weird ships the burger, right yeah,

817
00:51:00,000 --> 00:51:06,279
Speaker 1: people are totally fine with is pepsi Okay, right, right, man,

818
00:51:06,320 --> 00:51:10,360
Speaker 1: I've come to I'm at the point now where I

819
00:51:10,400 --> 00:51:13,600
Speaker 1: will just get a regular pepsi over if they asked

820
00:51:13,640 --> 00:51:15,959
Speaker 1: me if diet pepsi's okay, that's how much I don't

821
00:51:15,960 --> 00:51:19,719
Speaker 1: like die pepsi so much worse than diet coke. I

822
00:51:19,760 --> 00:51:26,439
Speaker 1: will give myself diabetes over drinking diet pepsi. Yeah, well,

823
00:51:26,760 --> 00:51:30,600
Speaker 1: look to teach their own still like caffeine free diet pepsi.

824
00:51:31,280 --> 00:51:34,720
Speaker 1: Gold can, Yeah, that's the best. I love that flavor

825
00:51:35,480 --> 00:51:38,600
Speaker 1: because I always drank that was like it's called brown water.

826
00:51:39,000 --> 00:51:41,600
Speaker 1: Like she hated the fact that she had to drink

827
00:51:41,640 --> 00:51:43,960
Speaker 1: it the gold can though. It was like a flex

828
00:51:44,000 --> 00:51:47,320
Speaker 1: to me. Shout out Nana McMahon. You know my friends,

829
00:51:47,360 --> 00:51:49,719
Speaker 1: my homie's grandmother who always had that in the refrigerator.

830
00:51:49,760 --> 00:51:51,480
Speaker 1: I'm be like, yo, this ship is popping, bro I

831
00:51:51,560 --> 00:51:55,600
Speaker 1: never had in the gold can, but all nuts. So

832
00:51:55,760 --> 00:51:59,000
Speaker 1: it does seem like we are headed for a next

833
00:51:59,320 --> 00:52:04,320
Speaker 1: month or so where most people where the most people

834
00:52:05,000 --> 00:52:08,520
Speaker 1: in America are going to be getting vaccinated, especially in

835
00:52:08,640 --> 00:52:14,239
Speaker 1: our listener group. Um, like I I signed up yesterday

836
00:52:14,400 --> 00:52:17,880
Speaker 1: for a just to get like notified when I would

837
00:52:17,960 --> 00:52:21,520
Speaker 1: be able to do it with the City of Los Angeles. Uh,

838
00:52:21,560 --> 00:52:24,960
Speaker 1: it seems like people are like taking those sorts of

839
00:52:25,000 --> 00:52:27,440
Speaker 1: steps to be like, oh wow, this might actually be

840
00:52:27,520 --> 00:52:31,759
Speaker 1: a reality very soon. So Miles, you put together just

841
00:52:31,800 --> 00:52:36,680
Speaker 1: like kind of some notes on based on like how

842
00:52:36,800 --> 00:52:40,400
Speaker 1: people have reacted to the vaccine to this point, like

843
00:52:40,440 --> 00:52:44,399
Speaker 1: what in general, Like, yeah, because you know a lot

844
00:52:44,440 --> 00:52:47,680
Speaker 1: of people like as as it just opens up, you

845
00:52:47,719 --> 00:52:49,879
Speaker 1: see more and more anecdotes that people have been like Yo,

846
00:52:50,040 --> 00:52:52,719
Speaker 1: the fucking first one floored me or the second one

847
00:52:52,760 --> 00:52:56,040
Speaker 1: floored me one more often. But yeah, and it all

848
00:52:56,080 --> 00:52:58,960
Speaker 1: depends and I mean all the there's certain certain traits

849
00:52:59,040 --> 00:53:03,799
Speaker 1: or whatever physiology that sort of determines those things. But

850
00:53:04,120 --> 00:53:06,680
Speaker 1: there are just like, uh, you know a couple of

851
00:53:06,719 --> 00:53:08,759
Speaker 1: things to like keep in mind. First of all, that

852
00:53:08,800 --> 00:53:11,520
Speaker 1: those side effects are completely normal. So don't think, like,

853
00:53:11,600 --> 00:53:13,600
Speaker 1: oh my god, what's happening. It's because your body it's

854
00:53:13,680 --> 00:53:16,839
Speaker 1: it's activating your immune system and you're like downloading new

855
00:53:16,960 --> 00:53:20,080
Speaker 1: software to your immune system, being like this is just

856
00:53:20,160 --> 00:53:23,520
Speaker 1: the motherfucker you're trying to protect meat meat COVID nineteen

857
00:53:23,760 --> 00:53:25,600
Speaker 1: and it's like your body is just reading the dossier.

858
00:53:25,800 --> 00:53:27,880
Speaker 1: So yeah, your might your body might be reacting. But

859
00:53:27,920 --> 00:53:29,520
Speaker 1: you know what, that's a good sign because that means

860
00:53:29,640 --> 00:53:32,719
Speaker 1: your immune system is responding. Um. But then there's other

861
00:53:32,760 --> 00:53:35,760
Speaker 1: other questions like can you get out? Can you drink alcohol?

862
00:53:35,840 --> 00:53:37,520
Speaker 1: Is one I think a lot of people just in

863
00:53:37,560 --> 00:53:40,759
Speaker 1: general like has been out there and yes, you can

864
00:53:40,840 --> 00:53:42,960
Speaker 1: drink alcohol. There's if you you can check out the

865
00:53:43,080 --> 00:53:45,560
Speaker 1: articles and the footnotes. But one of these experts saying

866
00:53:45,760 --> 00:53:48,600
Speaker 1: yes you can drink alcohol, it doesn't the vaccine is

867
00:53:48,640 --> 00:53:51,480
Speaker 1: not there's no interaction between alcohol and the vaccine itself.

868
00:53:51,719 --> 00:53:55,000
Speaker 1: But also take it easy, don't. Don't. Don't. Also, just

869
00:53:55,080 --> 00:53:56,839
Speaker 1: like go on a bend, just because you can drink

870
00:53:56,880 --> 00:53:59,439
Speaker 1: doesn't mean you can get the gap. Okay, you gotta

871
00:53:59,520 --> 00:54:00,960
Speaker 1: take it eas because at the end of the day,

872
00:54:01,000 --> 00:54:04,480
Speaker 1: your body is going through a full on process. So

873
00:54:05,000 --> 00:54:08,319
Speaker 1: here's some things you should do for nausea. Get the

874
00:54:08,320 --> 00:54:12,000
Speaker 1: the the ginger tea or ginger ginger, whatever whatever you

875
00:54:12,040 --> 00:54:15,480
Speaker 1: need for your stomach. That's a great thing. Um. Do

876
00:54:15,600 --> 00:54:19,280
Speaker 1: not do anything like fast or anything drastic like juicing

877
00:54:19,360 --> 00:54:22,600
Speaker 1: or a detox amiss that again, your body is going

878
00:54:22,600 --> 00:54:25,280
Speaker 1: through a process and you want to hydrate as much

879
00:54:25,320 --> 00:54:28,600
Speaker 1: as possible, hydrate yourself with healthy fluids. And they said,

880
00:54:28,640 --> 00:54:30,520
Speaker 1: if you want to even get ahead of it, they

881
00:54:30,560 --> 00:54:33,560
Speaker 1: said this one doctor was saying, if you had a

882
00:54:33,600 --> 00:54:36,120
Speaker 1: diet like sort of Mediterranean diet that was more like

883
00:54:36,160 --> 00:54:40,040
Speaker 1: anti inflammatory and focused on that, you can a like

884
00:54:40,120 --> 00:54:43,160
Speaker 1: the response to the vaccine has shown to be better

885
00:54:43,160 --> 00:54:46,200
Speaker 1: in other like vaccine studies and also may help you

886
00:54:46,280 --> 00:54:49,080
Speaker 1: with you know, those little things like the headaches, um

887
00:54:49,120 --> 00:54:51,520
Speaker 1: and other ship that can come along with the vaccine.

888
00:54:51,760 --> 00:54:55,080
Speaker 1: Now have they are there any findings around if you

889
00:54:55,120 --> 00:54:58,440
Speaker 1: smoke a cigarette after getting the vaccine will pack in

890
00:54:58,480 --> 00:55:03,600
Speaker 1: a bigger buzz um Um. It depends on giving that's

891
00:55:03,640 --> 00:55:06,960
Speaker 1: true of giving blood. Uh So that's always I always

892
00:55:07,080 --> 00:55:11,319
Speaker 1: rush outside, you know, smoke a couple of SIGs if

893
00:55:11,400 --> 00:55:13,080
Speaker 1: you can power hit it. And if you remember, the

894
00:55:13,080 --> 00:55:15,320
Speaker 1: power hit is where you put it between your pinky

895
00:55:15,400 --> 00:55:17,440
Speaker 1: and your ring finger knuckle and then you comp that

896
00:55:17,520 --> 00:55:24,240
Speaker 1: against your other hand and you're just mainline naked shout

897
00:55:24,280 --> 00:55:27,440
Speaker 1: out telling my power hitters out there of cigarettes who

898
00:55:27,840 --> 00:55:30,719
Speaker 1: tried to get a cheap buzz produced Anta Hosnie just

899
00:55:30,760 --> 00:55:34,960
Speaker 1: saying yeah. Overall though, don't be partying on the vaccine

900
00:55:35,000 --> 00:55:36,920
Speaker 1: because at the end of the day, you want to

901
00:55:37,000 --> 00:55:40,239
Speaker 1: keep your immune system up, you know what I mean,

902
00:55:40,280 --> 00:55:41,920
Speaker 1: at the end of they take care of yourself. Used

903
00:55:41,960 --> 00:55:43,759
Speaker 1: this as a time too, if you have the you know,

904
00:55:44,280 --> 00:55:48,480
Speaker 1: ability to to just go easy and stay hydrated. What

905
00:55:48,520 --> 00:55:52,919
Speaker 1: do they say about um licking door knobs, because once

906
00:55:52,960 --> 00:55:58,240
Speaker 1: I get my second fouci Auchi, I'm gonna go hang out. Yeah,

907
00:55:58,239 --> 00:56:00,480
Speaker 1: I've seen your TikTok where it's just I have the

908
00:56:00,560 --> 00:56:02,640
Speaker 1: tiger and you're at a home depot licking all the

909
00:56:02,680 --> 00:56:05,840
Speaker 1: door knobs on just play and you're like getting ready

910
00:56:05,880 --> 00:56:10,799
Speaker 1: to a colonial one in my mouth. Oh, here's a

911
00:56:10,800 --> 00:56:19,600
Speaker 1: glass one loved those? Um yeah, I mean there's a

912
00:56:19,600 --> 00:56:21,120
Speaker 1: lot of things that are that are going to be

913
00:56:21,160 --> 00:56:25,520
Speaker 1: possible for for a lot of us. Steven, Yeah, mine

914
00:56:25,520 --> 00:56:27,080
Speaker 1: has just been an idea. I was saying this on

915
00:56:27,160 --> 00:56:30,239
Speaker 1: Fiance with Sophia. I really just want to eat corn

916
00:56:30,320 --> 00:56:33,600
Speaker 1: on the cob in a crowd, in a crowd, just

917
00:56:34,239 --> 00:56:36,719
Speaker 1: for whatever, very specifically, that feeling of having like a

918
00:56:36,800 --> 00:56:38,920
Speaker 1: lot or some kind of big corn on just some

919
00:56:38,960 --> 00:56:40,920
Speaker 1: corn cob and have people walking by me. I have

920
00:56:40,960 --> 00:56:43,759
Speaker 1: no mask on. Feels like just about the level of

921
00:56:43,800 --> 00:56:48,400
Speaker 1: freedom I'm ready for right now, crash of funeral, thank you,

922
00:56:49,480 --> 00:56:52,879
Speaker 1: he lived, how he died, he died, Corn on the cob,

923
00:56:52,920 --> 00:56:54,879
Speaker 1: in the crowd, before we move on to the next store.

924
00:56:54,920 --> 00:56:57,120
Speaker 1: I do. I just want to say, don't don't. Don't

925
00:56:57,160 --> 00:57:00,000
Speaker 1: smoke after giving blood. You can get the same effect

926
00:57:00,239 --> 00:57:03,040
Speaker 1: from just spinning around doing spinny bad. It just makes

927
00:57:03,080 --> 00:57:10,680
Speaker 1: you dizzy. Uh nicked Nickeote's bad? Yeah, quick quick, but yeah,

928
00:57:10,760 --> 00:57:15,960
Speaker 1: also hit a pack of filter list Marboro. I do

929
00:57:16,000 --> 00:57:18,920
Speaker 1: want to say, because I like started smoking when I

930
00:57:18,960 --> 00:57:21,240
Speaker 1: was like a teenager because I thought it looked cool

931
00:57:21,480 --> 00:57:24,560
Speaker 1: and uh look we were products of the eighties and night. Yeah,

932
00:57:24,840 --> 00:57:30,720
Speaker 1: fought fought that thing for decades. Yeah. Also just I mean,

933
00:57:30,760 --> 00:57:34,560
Speaker 1: people like the range of responses seems to be like

934
00:57:34,640 --> 00:57:39,320
Speaker 1: anything from like a really bad like ache like at

935
00:57:39,360 --> 00:57:43,360
Speaker 1: the injection spot, like I can't sleep on that side

936
00:57:43,400 --> 00:57:45,960
Speaker 1: of your body, all the way to my wife when

937
00:57:46,000 --> 00:57:49,560
Speaker 1: she got the second dose was like, had a it

938
00:57:49,560 --> 00:57:53,200
Speaker 1: seems like a pretty bad flu for uh twenty four

939
00:57:53,200 --> 00:57:56,920
Speaker 1: hours and was like I didn't want to tell anyone,

940
00:57:57,560 --> 00:57:59,760
Speaker 1: including me, because she knew that I'd be like I'm

941
00:57:59,800 --> 00:58:03,280
Speaker 1: not getting the vaccine now, I'm just joking. I told

942
00:58:03,360 --> 00:58:06,600
Speaker 1: you it was at that point where like the vaccine

943
00:58:06,640 --> 00:58:09,360
Speaker 1: was very early because she's a physician, so like she

944
00:58:09,400 --> 00:58:13,080
Speaker 1: didn't want to like say anything to anyone about it,

945
00:58:13,200 --> 00:58:16,000
Speaker 1: like making her feel sick right right right see. And

946
00:58:16,040 --> 00:58:18,560
Speaker 1: that's the thing that is and I get now we

947
00:58:18,600 --> 00:58:21,000
Speaker 1: know why the scientists too, are like fuck you know

948
00:58:21,080 --> 00:58:24,680
Speaker 1: because you don't so because some people, oh, I'm I

949
00:58:24,760 --> 00:58:26,520
Speaker 1: supposed to protect you from the fluid and you say

950
00:58:26,600 --> 00:58:32,840
Speaker 1: you have the oh see the injured, It's not how

951
00:58:32,840 --> 00:58:37,640
Speaker 1: it works, idiot. All right, let's talk really briefly about

952
00:58:38,800 --> 00:58:41,960
Speaker 1: just where we're at in terms of the glut of

953
00:58:42,360 --> 00:58:46,520
Speaker 1: blockbusters that are just stored up in Hollywood vaults right now,

954
00:58:46,680 --> 00:58:52,560
Speaker 1: backed up, backed up, Hollywood is backed up, baby and uh.

955
00:58:52,680 --> 00:58:56,040
Speaker 1: Scott Mendelsson, one of my favorite writers on Like the

956
00:58:56,080 --> 00:58:59,960
Speaker 1: Movie Industry, used the did you guys see the ghostbust

957
00:59:00,040 --> 00:59:03,160
Speaker 1: Years after Life like teaser with the little stay Puff

958
00:59:03,240 --> 00:59:08,160
Speaker 1: Marshmallow the baby Yoda. Yeah, he was like, well, they

959
00:59:08,160 --> 00:59:10,720
Speaker 1: should move up their release like and maybe that's what

960
00:59:10,800 --> 00:59:14,880
Speaker 1: the symbolizes that they're like testing the waters. But now

961
00:59:14,920 --> 00:59:19,040
Speaker 1: that Kim Kong verse Godzilla did like a really good,

962
00:59:20,000 --> 00:59:24,720
Speaker 1: a robust business last week. Uh, He's like there's now

963
00:59:25,240 --> 00:59:29,760
Speaker 1: like all this unused real estate between now and the

964
00:59:30,000 --> 00:59:34,600
Speaker 1: Memorial Day when people aren't dropping movies that they could

965
00:59:34,720 --> 00:59:39,120
Speaker 1: use to release movies like Ghostbusters Afterlife, and there's just

966
00:59:39,200 --> 00:59:42,400
Speaker 1: so many Like James Bond has been in the cans

967
00:59:42,480 --> 00:59:45,680
Speaker 1: so long that they're having to update his clothes to

968
00:59:45,800 --> 00:59:48,680
Speaker 1: make him like look less dated. Oh no, it's like

969
00:59:48,720 --> 00:59:52,920
Speaker 1: the phone right there and like the whatever phone they use, like, oh,

970
00:59:52,960 --> 00:59:55,520
Speaker 1: we're like three models cost given him a new haircut

971
00:59:55,640 --> 00:59:58,600
Speaker 1: because like he's got like the flock of seagulls haircut.

972
00:59:58,680 --> 01:00:02,880
Speaker 1: It's been in the can for so long. Um, but

973
01:00:03,040 --> 01:00:08,200
Speaker 1: it does, I don't know. It's also like Hollywood, as

974
01:00:08,240 --> 01:00:12,120
Speaker 1: we've talked about in the past, Hollywood is definitely not

975
01:00:12,360 --> 01:00:16,040
Speaker 1: like a optimal like logic machine. A lot of it

976
01:00:16,120 --> 01:00:20,680
Speaker 1: is studio executives realizing that if they release a movie

977
01:00:21,120 --> 01:00:24,520
Speaker 1: that is a big flop, they will get fired, and

978
01:00:24,560 --> 01:00:29,320
Speaker 1: so they tend to be more conservative, and but that

979
01:00:29,600 --> 01:00:34,600
Speaker 1: unfortunately that fucks like people who are actors or you know,

980
01:00:34,720 --> 01:00:39,560
Speaker 1: crew and aren't just movies aren't getting made because they

981
01:00:39,600 --> 01:00:43,480
Speaker 1: have the past two years of Blockbusters that they're just

982
01:00:43,560 --> 01:00:46,640
Speaker 1: sitting on um. But I would like to see those

983
01:00:46,640 --> 01:00:49,640
Speaker 1: Ghostbusters movie. This is the first time that I have

984
01:00:49,760 --> 01:00:53,560
Speaker 1: given a shit about it, and that's because of the

985
01:00:53,680 --> 01:00:59,280
Speaker 1: cute marshmallow people. Oh that's the Yeah. So that's the

986
01:00:59,280 --> 01:01:03,120
Speaker 1: thing is that they're cannibalistic and like it's just and

987
01:01:03,320 --> 01:01:06,640
Speaker 1: like laughing as they're being like eaten. So there's like

988
01:01:06,680 --> 01:01:11,560
Speaker 1: a real demonic like wait, the little stay Puff people

989
01:01:11,560 --> 01:01:15,360
Speaker 1: are cannibals. Yeah, they're cannibals. They're like they're s'mores in

990
01:01:15,400 --> 01:01:21,240
Speaker 1: each other. They're roasting each other with there being like like,

991
01:01:21,760 --> 01:01:25,080
Speaker 1: oh you see what being like burned over a grill

992
01:01:25,400 --> 01:01:27,840
Speaker 1: while they aren't holding the skewer and the one of

993
01:01:27,840 --> 01:01:32,240
Speaker 1: them everyone's widing down the skewer. Well, well it's lower

994
01:01:32,360 --> 01:01:37,520
Speaker 1: half is burning melting. Oh wow. And Paul Rudd is

995
01:01:37,720 --> 01:01:43,120
Speaker 1: plum mixed this. Yeah, Paul Rudd is the lead. This

996
01:01:43,440 --> 01:01:46,160
Speaker 1: also seems like something that they shot just to that

997
01:01:46,240 --> 01:01:48,760
Speaker 1: they were like, okay, as a response to Baby Yoda,

998
01:01:49,000 --> 01:01:54,400
Speaker 1: we will be creating this baby specifically for a trailer.

999
01:01:54,880 --> 01:02:01,880
Speaker 1: But that's in the movie. You think there's that's It

1000
01:02:01,960 --> 01:02:05,440
Speaker 1: opens with him being like huh mok, almond fudge, like

1001
01:02:05,560 --> 01:02:09,440
Speaker 1: just like a long shot of him going ice cream shopping.

1002
01:02:09,480 --> 01:02:12,919
Speaker 1: It's like, there's no way that this advances any part

1003
01:02:12,960 --> 01:02:18,360
Speaker 1: of the plot at all. What's happening. Uh, But you know,

1004
01:02:18,440 --> 01:02:21,760
Speaker 1: hopefully those little stay Puff babies are in there because

1005
01:02:22,200 --> 01:02:26,080
Speaker 1: I love them. And yeah, and then just in terms

1006
01:02:26,120 --> 01:02:31,880
Speaker 1: of uh streaming, there's some kind of big shows shows

1007
01:02:31,960 --> 01:02:38,440
Speaker 1: that Nielsen says are being like streamed as much as

1008
01:02:38,480 --> 01:02:42,480
Speaker 1: like anything over the course of the pandemic that just

1009
01:02:42,600 --> 01:02:46,640
Speaker 1: nobody's talking about because I think we just don't really

1010
01:02:47,920 --> 01:02:51,760
Speaker 1: because Netflix doesn't like treat each release and like even

1011
01:02:51,840 --> 01:02:54,520
Speaker 1: ahead of time, doesn't know what's going to hit. You know,

1012
01:02:54,600 --> 01:02:57,320
Speaker 1: these shows that are probably being watched as much as

1013
01:02:57,360 --> 01:03:01,520
Speaker 1: like Desperate Housewives when that first hit, right, And do

1014
01:03:01,600 --> 01:03:04,400
Speaker 1: you guys remember that like being a moment in culture

1015
01:03:04,440 --> 01:03:09,760
Speaker 1: where like all anyone talked about was Desperate Ye. I

1016
01:03:09,880 --> 01:03:11,680
Speaker 1: never watched the show, and I feel like I know

1017
01:03:11,800 --> 01:03:15,000
Speaker 1: what happens in that show, because the first season was

1018
01:03:15,080 --> 01:03:18,440
Speaker 1: like such a phenomenon. Yeah, and then it set off

1019
01:03:18,520 --> 01:03:23,880
Speaker 1: the Real Housewives reality thing, like, yeah, that ship to

1020
01:03:23,920 --> 01:03:26,280
Speaker 1: the point where passively I'm like, yeah, with Steria Lane

1021
01:03:26,440 --> 01:03:30,320
Speaker 1: where they live. But I've never seen. Yeah, I know

1022
01:03:30,400 --> 01:03:32,960
Speaker 1: the name of their street and never never watched a

1023
01:03:33,000 --> 01:03:37,280
Speaker 1: single moment of an actual episode. But there's a show

1024
01:03:37,320 --> 01:03:43,320
Speaker 1: called Ginny and Georgia which is like about a sexually

1025
01:03:43,360 --> 01:03:48,320
Speaker 1: empowered single mother her mixed race daughter, like moving to

1026
01:03:48,360 --> 01:03:52,960
Speaker 1: a new town. Uh it's I don't know, it's my

1027
01:03:53,640 --> 01:03:56,800
Speaker 1: I didn't watch the whole thing, but I saw parts

1028
01:03:56,840 --> 01:03:59,360
Speaker 1: of it, and it just seems like it's the sort

1029
01:03:59,360 --> 01:04:02,480
Speaker 1: of thing that if it were released on ABC today

1030
01:04:02,520 --> 01:04:06,000
Speaker 1: would be a hit, and people are just Uh. There's

1031
01:04:06,040 --> 01:04:11,120
Speaker 1: also the show Virgin River that seems to be very similar.

1032
01:04:11,240 --> 01:04:13,920
Speaker 1: I forget the name of that show, but we reviewed it.

1033
01:04:13,920 --> 01:04:16,440
Speaker 1: It was like a or it was a movie about

1034
01:04:16,480 --> 01:04:19,920
Speaker 1: a woman who like movie farm. Uh no, she was.

1035
01:04:19,920 --> 01:04:22,680
Speaker 1: It wasn't Katie Holmes, but it was might as well

1036
01:04:22,720 --> 01:04:26,600
Speaker 1: have been, and she like leaves it. She's getting a

1037
01:04:26,640 --> 01:04:30,360
Speaker 1: divorce and moves to a farm with her kids. It

1038
01:04:30,600 --> 01:04:34,960
Speaker 1: has Josh Dumel and he is an anti Baxtor and

1039
01:04:35,160 --> 01:04:39,880
Speaker 1: a oh no, it's not Josh dul It has has

1040
01:04:39,920 --> 01:04:43,960
Speaker 1: one of those hunks and the male lead is like

1041
01:04:44,120 --> 01:04:48,680
Speaker 1: a the apocaly He's like an Apocalypse prepper. Um. Anyways,

1042
01:04:48,720 --> 01:04:50,880
Speaker 1: Virgin River is about like a city girl from Los

1043
01:04:50,920 --> 01:04:52,840
Speaker 1: Angeles who goes to be a nurse in like a

1044
01:04:52,880 --> 01:04:55,160
Speaker 1: small town. So it's like, got that same, it's a

1045
01:04:55,400 --> 01:04:58,880
Speaker 1: it's a holiday movie premise, yes, very much. So that's

1046
01:04:58,880 --> 01:05:01,240
Speaker 1: a HOLLI that's what holiday movies are. A person from

1047
01:05:01,280 --> 01:05:04,600
Speaker 1: the big city yep goes to little town and learns

1048
01:05:04,720 --> 01:05:08,400
Speaker 1: what it means to live simply. Okay. I mean it's

1049
01:05:08,400 --> 01:05:10,760
Speaker 1: the things like even with Jenny and Georgia. I just

1050
01:05:11,200 --> 01:05:13,439
Speaker 1: you know, these shows are big because they don't leave

1051
01:05:13,480 --> 01:05:16,560
Speaker 1: the top ten. Whenever I fire up Netflix and they say,

1052
01:05:16,600 --> 01:05:18,480
Speaker 1: do you want to continue Formula one Drive to Surve?

1053
01:05:18,560 --> 01:05:23,040
Speaker 1: Obviously yes, but what else is Jenny and Georgia is

1054
01:05:23,080 --> 01:05:25,960
Speaker 1: also on there? Okay? I see you? But yeah, for me,

1055
01:05:26,000 --> 01:05:30,640
Speaker 1: it always takes like critical mass of like four people

1056
01:05:31,080 --> 01:05:33,200
Speaker 1: plus Anna Josane to tell me to watch it and

1057
01:05:33,200 --> 01:05:36,120
Speaker 1: then I'm alright, find it's nailed on. His name might

1058
01:05:36,120 --> 01:05:40,280
Speaker 1: be the most influential streamer in America because once she's

1059
01:05:40,320 --> 01:05:43,080
Speaker 1: onto something, it's, uh, can we do like can we

1060
01:05:43,120 --> 01:05:46,360
Speaker 1: do like like bets like like big bets on like

1061
01:05:46,440 --> 01:05:49,360
Speaker 1: popularity as of shows you know, based on that, you

1062
01:05:49,400 --> 01:05:53,360
Speaker 1: know what I mean? The stream whisper and yeah, ten

1063
01:05:53,400 --> 01:05:55,880
Speaker 1: thousand down on Jenny and Georgia season two. Man, I

1064
01:05:55,920 --> 01:06:00,120
Speaker 1: think it's gonna do numbers. Let me just find it's

1065
01:06:00,120 --> 01:06:05,680
Speaker 1: gonna flomp, It's gonna whereas reggae jehan. Uh. The show

1066
01:06:05,720 --> 01:06:09,200
Speaker 1: we were talking about was The Lost Husband Uh, and

1067
01:06:09,600 --> 01:06:14,280
Speaker 1: it was Leslie bib and and it was Josh Demel

1068
01:06:14,480 --> 01:06:17,840
Speaker 1: as the Apocalypse Prepper. But that it was interesting that

1069
01:06:18,200 --> 01:06:22,360
Speaker 1: like somebody who would ultimately be it would have ultimately

1070
01:06:22,480 --> 01:06:26,760
Speaker 1: rated the Capital on January six. The is the male

1071
01:06:26,840 --> 01:06:30,200
Speaker 1: lead of that show. Yeah, but it's busy learning to

1072
01:06:30,320 --> 01:06:34,760
Speaker 1: love again. You learn to love the country again. Uh.

1073
01:06:34,960 --> 01:06:37,919
Speaker 1: Stephen as always such a pleasure having you. Man. Where

1074
01:06:37,920 --> 01:06:42,960
Speaker 1: can people find you? Follow you all that good stuff? Uh?

1075
01:06:43,200 --> 01:06:47,160
Speaker 1: You can find me on Twitter and Instagram. Wilber with

1076
01:06:47,240 --> 01:06:50,000
Speaker 1: an e. Uh if you can't spell it, I don't

1077
01:06:50,200 --> 01:06:54,200
Speaker 1: want you to follow me. I still have my my

1078
01:06:54,200 --> 01:06:58,360
Speaker 1: my debut, my first debut album, sixteen Bits is out.

1079
01:06:58,400 --> 01:07:03,080
Speaker 1: To listen to it you want on Spotify or Pandora,

1080
01:07:03,240 --> 01:07:08,120
Speaker 1: I guess, or you could buy it. Who cares? Um? Yeah,

1081
01:07:08,440 --> 01:07:13,680
Speaker 1: that's it. Not to the original Sega Genesis Super Nintendo's right,

1082
01:07:14,760 --> 01:07:17,160
Speaker 1: And is there a tweet or some of the work

1083
01:07:17,320 --> 01:07:20,600
Speaker 1: of social media. You've been enjoying. Man, I was going

1084
01:07:20,680 --> 01:07:24,919
Speaker 1: through it and I was not loving anything. And then

1085
01:07:27,240 --> 01:07:34,720
Speaker 1: Kevin O'Shea at o'sh computer said, uh, Seattle a bet,

1086
01:07:35,640 --> 01:07:44,360
Speaker 1: what cities above Tacoma? That got me? That's pretty good. Oh, Miles,

1087
01:07:44,360 --> 01:07:47,800
Speaker 1: where can people find you? What's a tweet you've been enjoying? Twitter? Instagram?

1088
01:07:47,880 --> 01:07:51,320
Speaker 1: Miles of gray. Also in Four Day Fiance, Oh, I've

1089
01:07:51,320 --> 01:07:53,600
Speaker 1: got some I got some tweets I'm liking and I'm

1090
01:07:53,680 --> 01:07:58,840
Speaker 1: loving them. First one, uh is from DJ fuck at Eggshell.

1091
01:07:59,000 --> 01:08:02,600
Speaker 1: Friend says, my grandpa saw you across the bar and

1092
01:08:02,640 --> 01:08:07,080
Speaker 1: we love your vibe. Can we inherit your chocolate factory?

1093
01:08:09,000 --> 01:08:14,200
Speaker 1: Another one is from uh this is Killer meg at

1094
01:08:14,200 --> 01:08:17,360
Speaker 1: horse Underscore feedback twnting any beer under five per cent

1095
01:08:17,560 --> 01:08:20,599
Speaker 1: is fine to give to children. Yeah, which, yeah, that's

1096
01:08:20,680 --> 01:08:24,479
Speaker 1: not that tracks. Um Dan kois ko I s tweeted, um,

1097
01:08:24,520 --> 01:08:27,840
Speaker 1: this interview absolutely delivers. It's from Slate and the first

1098
01:08:27,880 --> 01:08:29,800
Speaker 1: is the title. It says, an interview with the guy

1099
01:08:29,800 --> 01:08:34,000
Speaker 1: who yells Mortal Kombat in the theme from Mortal Kombat.

1100
01:08:34,240 --> 01:08:37,320
Speaker 1: Nearly three day decades later, he's still got it and

1101
01:08:37,400 --> 01:08:40,800
Speaker 1: they they go down in the interview. He just doesn't

1102
01:08:40,800 --> 01:08:43,240
Speaker 1: expert up this one. Part says I see, will you

1103
01:08:43,280 --> 01:08:45,519
Speaker 1: do it over the phone, And the guy says, would

1104
01:08:45,520 --> 01:08:48,160
Speaker 1: I do it over the phone? Absolutely, let's hear it,

1105
01:08:48,320 --> 01:08:52,160
Speaker 1: And it's just in text Mortal Kombat with an exclamation point.

1106
01:08:52,280 --> 01:08:55,040
Speaker 1: But the guy hit him with the Mortal Kombat scream

1107
01:08:55,080 --> 01:08:57,599
Speaker 1: and you love it. And then finally this one just

1108
01:08:57,640 --> 01:09:01,040
Speaker 1: felt right for everything we talked about a j at

1109
01:09:01,880 --> 01:09:06,320
Speaker 1: a Kumar Underscore FTW tweetd I faced more peer pressure

1110
01:09:06,320 --> 01:09:12,439
Speaker 1: in my life to start animals than do drugs. Yeah right, Yeah,

1111
01:09:12,520 --> 01:09:14,720
Speaker 1: that's that's the real ship I think on Internet right now.

1112
01:09:15,280 --> 01:09:18,080
Speaker 1: I've tried to start attack on titans so many times

1113
01:09:18,080 --> 01:09:24,000
Speaker 1: and I'm just I guess I'm just not cool. Uh.

1114
01:09:24,040 --> 01:09:28,840
Speaker 1: In keeping with Steven the theme of Stevens tweet, AO

1115
01:09:29,080 --> 01:09:33,040
Speaker 1: Doc two sees tweeted, call me Zach because I don't

1116
01:09:33,080 --> 01:09:40,320
Speaker 1: know what the f ron with me. Yes, sir, you

1117
01:09:40,320 --> 01:09:42,880
Speaker 1: can find me on Twitter at Jack Underscore O'Brien. You

1118
01:09:42,920 --> 01:09:45,639
Speaker 1: can find us on Twitter at daily zeitgeys for at

1119
01:09:45,640 --> 01:09:49,200
Speaker 1: the Daily Zeitgeist on Instagram. We have a Facebook fan

1120
01:09:49,280 --> 01:09:51,680
Speaker 1: page and a website, Daily zeitgeist dot com, where he

1121
01:09:51,760 --> 01:09:55,519
Speaker 1: posts our episodes and our footnotes where we take off

1122
01:09:55,560 --> 01:09:57,960
Speaker 1: to the information that we talked about in today's episode,

1123
01:09:58,360 --> 01:10:00,320
Speaker 1: as well as a song. Do we recommend you go

1124
01:10:00,439 --> 01:10:05,120
Speaker 1: check out? Miles? What song should people be checking out? Man?

1125
01:10:05,200 --> 01:10:07,960
Speaker 1: If you remember we had Illingsworth from Detroit on the

1126
01:10:08,000 --> 01:10:11,160
Speaker 1: show last week, uh and another I've just been listening.

1127
01:10:11,280 --> 01:10:12,960
Speaker 1: I hope you all been listening to. I hope you've

1128
01:10:12,960 --> 01:10:16,320
Speaker 1: been supporting him. But there's another Illingsworth track called everhard

1129
01:10:16,400 --> 01:10:19,240
Speaker 1: E V E R H A R D and I'm

1130
01:10:19,280 --> 01:10:22,320
Speaker 1: just I Look. If you like that sample based hip hop,

1131
01:10:22,800 --> 01:10:24,640
Speaker 1: you know, if you're a Dilla fan, if you like

1132
01:10:24,880 --> 01:10:28,599
Speaker 1: just really choppy, sample instrumental stuff and you can rhyme too,

1133
01:10:28,800 --> 01:10:31,240
Speaker 1: you gotta keep listening to our boilings Worth, So check

1134
01:10:31,320 --> 01:10:35,360
Speaker 1: this track out. Do it. The Daily Zeitgeist is a

1135
01:10:35,400 --> 01:10:38,680
Speaker 1: production of I Heart Radio four more podcast from my

1136
01:10:38,720 --> 01:10:41,280
Speaker 1: Heart Radio, visit the I Heart Radio app, Apple podcast,

1137
01:10:41,360 --> 01:10:43,360
Speaker 1: or where have you listen to your favorite shows? That

1138
01:10:43,479 --> 01:10:45,800
Speaker 1: is gonna do it for this morning. We are back

1139
01:10:45,880 --> 01:10:47,920
Speaker 1: this afternoon to tell you what's trending and we'll talk

1140
01:10:47,920 --> 01:10:49,360
Speaker 1: to you all day. Bye bye,