1
00:00:00,360 --> 00:00:03,160
Speaker 1: Hello the Internet, and welcome to Season to forty five,

2
00:00:03,240 --> 00:00:08,080
Speaker 1: episode two of Days Like Day production of My Heart Radio.

3
00:00:08,360 --> 00:00:10,760
Speaker 1: This is a podcast where we take a deep dive

4
00:00:10,800 --> 00:00:17,040
Speaker 1: into America's share consciousness. It's Tuesday, July twelve two. My

5
00:00:17,120 --> 00:00:21,680
Speaker 1: name is Jack O'Brien a k Jeor Jackson World Dominion.

6
00:00:22,720 --> 00:00:26,639
Speaker 1: You know, sometimes we do song parodies up here during

7
00:00:26,640 --> 00:00:28,480
Speaker 1: the ak s, but I wanted to just do an

8
00:00:28,480 --> 00:00:32,559
Speaker 1: old fashioned nickname that a lot of people are calling

9
00:00:32,600 --> 00:00:36,479
Speaker 1: me and your Jackson World no colon Dominion is a

10
00:00:36,600 --> 00:00:40,600
Speaker 1: name I'm known as. I'm also known as uh fk

11
00:00:40,960 --> 00:00:46,000
Speaker 1: jere Jackson Park, and I'm thrilled to be joined by

12
00:00:46,000 --> 00:00:48,199
Speaker 1: a very special guest co host one of the EPs

13
00:00:48,200 --> 00:00:50,519
Speaker 1: on this very network. He is the King's sting that

14
00:00:50,560 --> 00:00:54,200
Speaker 1: bitch on Twitch. It's DJ Daniel Good Bad d J

15
00:00:54,360 --> 00:00:59,960
Speaker 1: Daniel a k A Jurassic World DJ Dan Minion. Okay,

16
00:01:00,080 --> 00:01:01,840
Speaker 1: up with the explosion. Happen to be here? Jack? How

17
00:01:01,880 --> 00:01:04,240
Speaker 1: you doing? Get off my Get off my corner, man.

18
00:01:05,319 --> 00:01:07,920
Speaker 1: I'm the I'm the guy that is known as Drew

19
00:01:08,080 --> 00:01:15,240
Speaker 1: Jackson World. Yeah, that's my bad to take. Well, unexpectedly,

20
00:01:15,400 --> 00:01:18,920
Speaker 1: another another day without Miles. We do believe people be

21
00:01:19,000 --> 00:01:22,920
Speaker 1: back soon, but we are thrilled first of all to

22
00:01:22,920 --> 00:01:27,280
Speaker 1: be joined by you Stop DJ. We are also through

23
00:01:27,360 --> 00:01:31,000
Speaker 1: to be joined in our third seat by a brilliant writer, speaker,

24
00:01:31,160 --> 00:01:35,440
Speaker 1: social justice educator who's written for Ebony Complex, Out the

25
00:01:35,560 --> 00:01:40,040
Speaker 1: Route and appeared on NBC News, BuzzFeed, Fox, among many others.

26
00:01:40,440 --> 00:01:43,600
Speaker 1: They are also a fellow of the Next Up program

27
00:01:43,680 --> 00:01:48,000
Speaker 1: and the resulting show BFF Black Fat FM, drops its

28
00:01:48,040 --> 00:01:57,240
Speaker 1: first episode today. Please welcome Dr John Paul Higgins. Hello everybody.

29
00:01:57,280 --> 00:01:59,760
Speaker 1: I'm so excited to be here. I wish I had

30
00:01:59,760 --> 00:02:02,760
Speaker 1: a long too sing um in the style of Miles,

31
00:02:02,840 --> 00:02:07,960
Speaker 1: but I don't have anything prepared. That's fine. Your presence

32
00:02:08,320 --> 00:02:13,240
Speaker 1: is plenty. How are you on this? Maybe not your

33
00:02:13,280 --> 00:02:16,519
Speaker 1: first day as a professional podcaster, but your first day

34
00:02:16,560 --> 00:02:20,760
Speaker 1: with BFF out in the world. You know what it is,

35
00:02:20,880 --> 00:02:23,400
Speaker 1: just it's a it's an interesting feeling. So I was

36
00:02:23,440 --> 00:02:28,120
Speaker 1: telling my bothering, you know, I was telling it's funny

37
00:02:28,120 --> 00:02:29,960
Speaker 1: because my mom texts me it was like, how do

38
00:02:30,040 --> 00:02:32,720
Speaker 1: you feel about your podcast coming out this week? And

39
00:02:32,720 --> 00:02:35,320
Speaker 1: I was like, Mom, what are you doing? Why are

40
00:02:35,360 --> 00:02:38,320
Speaker 1: you texting me this like this? I'm already stressed out.

41
00:02:38,680 --> 00:02:40,480
Speaker 1: So I'm like, now I know my mom is gonna

42
00:02:40,520 --> 00:02:43,280
Speaker 1: be listening, and it's gonna be just it's it's interesting,

43
00:02:43,400 --> 00:02:46,800
Speaker 1: So shout out to my mom. But ultimately I feel

44
00:02:46,919 --> 00:02:51,320
Speaker 1: very very excited. I feel grounded in a weird, odd way.

45
00:02:51,600 --> 00:02:53,840
Speaker 1: When I first started the whole process of Next Up,

46
00:02:53,840 --> 00:02:57,359
Speaker 1: I was really nervous about the podcast experience because I

47
00:02:57,400 --> 00:02:59,720
Speaker 1: was like, oh my god, I'm gonna real network, um,

48
00:02:59,760 --> 00:03:02,040
Speaker 1: you know, not just doing it for my brandom office

49
00:03:02,080 --> 00:03:04,440
Speaker 1: and my my apartment. But now it just feels so

50
00:03:04,520 --> 00:03:07,160
Speaker 1: real and and everyone at my heart has been amazing

51
00:03:07,360 --> 00:03:10,800
Speaker 1: and so what's the word, not even supportive, Like you

52
00:03:10,800 --> 00:03:13,800
Speaker 1: are literally like a family now. So I'm really really

53
00:03:13,800 --> 00:03:16,880
Speaker 1: excited to be in in in good company. Thank you

54
00:03:16,919 --> 00:03:20,760
Speaker 1: for thrill to truly truly a thrill to have you

55
00:03:20,800 --> 00:03:23,720
Speaker 1: on a thrill to have you on t d Z. Yes,

56
00:03:24,240 --> 00:03:26,240
Speaker 1: So we're going to get to know you a little

57
00:03:26,240 --> 00:03:28,359
Speaker 1: bit better in a moment. First, a couple of the

58
00:03:28,400 --> 00:03:32,040
Speaker 1: things we're talking about. We're going to bring on super

59
00:03:32,080 --> 00:03:36,200
Speaker 1: producer Trisian with Carriage to talk about a story. This

60
00:03:36,280 --> 00:03:40,880
Speaker 1: is gonna be her debut as a Daily Zeitgeist correspondent,

61
00:03:41,200 --> 00:03:46,800
Speaker 1: our first diction correspondent. But Tricia is very brilliant, and

62
00:03:47,200 --> 00:03:51,560
Speaker 1: we wanted to like get her doing some research bringing

63
00:03:52,000 --> 00:03:55,360
Speaker 1: bringing the heat on some stories that she was interested in.

64
00:03:55,760 --> 00:03:58,880
Speaker 1: And the first one we've got is about how to

65
00:03:59,120 --> 00:04:03,000
Speaker 1: sue corporate rations to hold them accountable for climate change.

66
00:04:03,920 --> 00:04:07,000
Speaker 1: So that's that's exciting. I've I think a lot of

67
00:04:07,040 --> 00:04:09,920
Speaker 1: people wonder about this and say, well, why don't we

68
00:04:09,960 --> 00:04:13,080
Speaker 1: just sue the oil companies. That's the only thing they

69
00:04:13,080 --> 00:04:17,200
Speaker 1: will ever listen to. I have my reasons. I'm skeptical

70
00:04:17,279 --> 00:04:20,040
Speaker 1: of this approach that I will bring up, but it's

71
00:04:20,120 --> 00:04:24,200
Speaker 1: at least interesting to to know more, and I don't know,

72
00:04:24,360 --> 00:04:28,160
Speaker 1: maybe maybe it'll work out. Then we'll just talk about well, okay,

73
00:04:28,200 --> 00:04:31,440
Speaker 1: so Bloomberg released a thing of like top cities for

74
00:04:31,600 --> 00:04:36,120
Speaker 1: singles um and their number one was Wichita, Kansas, and

75
00:04:36,160 --> 00:04:39,680
Speaker 1: that a bunch that a bunch in Texas that were

76
00:04:39,839 --> 00:04:42,560
Speaker 1: like like half of the top five were in deep

77
00:04:42,600 --> 00:04:45,440
Speaker 1: red states. So we're just gonna talk about old media

78
00:04:45,640 --> 00:04:48,840
Speaker 1: being where I guess, you know, the mainstream corporate media

79
00:04:48,880 --> 00:04:50,880
Speaker 1: being in a different reality from the rest of us.

80
00:04:51,279 --> 00:04:54,600
Speaker 1: We might talk about covert food habits. I don't know

81
00:04:54,720 --> 00:04:59,880
Speaker 1: how brave I'm feeling, but somebody mentioned leaves alright, Leaves

82
00:05:00,000 --> 00:05:05,159
Speaker 1: talk about somebody mentioned that they eat burritos by opening

83
00:05:05,200 --> 00:05:09,800
Speaker 1: a hole in the burrito and then sucking the insides out,

84
00:05:10,320 --> 00:05:15,280
Speaker 1: like what YEA. So a writer for The Takeout was like, so,

85
00:05:16,040 --> 00:05:18,440
Speaker 1: finally I've like come to terms with like, this is

86
00:05:18,680 --> 00:05:23,080
Speaker 1: not weird. Lots of people eat their burrito like you

87
00:05:23,120 --> 00:05:26,960
Speaker 1: know Edgar and men in Black consumes that farmer and

88
00:05:27,960 --> 00:05:31,600
Speaker 1: I don't know, it's it. It seems so I I

89
00:05:31,680 --> 00:05:34,000
Speaker 1: just want to like get all the all the weird

90
00:05:34,120 --> 00:05:36,720
Speaker 1: food habits out there, because I definitely have a couple

91
00:05:36,760 --> 00:05:40,560
Speaker 1: of strange ones. No need to feel Uh you were saying,

92
00:05:40,560 --> 00:05:43,200
Speaker 1: oh for sure that I that I have some strange ones, right,

93
00:05:43,480 --> 00:05:46,320
Speaker 1: Oh well you, but also all of us. I can't

94
00:05:46,400 --> 00:05:55,159
Speaker 1: wait too old for you. So we're gonna talk about

95
00:05:55,160 --> 00:06:00,040
Speaker 1: that all of that plentymore. But first, John, we like

96
00:06:00,160 --> 00:06:03,240
Speaker 1: to ask a guest, what is something from your search

97
00:06:03,360 --> 00:06:06,000
Speaker 1: history that is revealing about who you are? So I'm

98
00:06:06,040 --> 00:06:09,000
Speaker 1: a very inquisitive person, and one of the things that

99
00:06:09,040 --> 00:06:12,960
Speaker 1: I have searched recently is who is Julia Fox and

100
00:06:13,000 --> 00:06:16,240
Speaker 1: why does the world hate her? Um it seems like

101
00:06:16,360 --> 00:06:18,839
Speaker 1: every time, I don't know, I just feel like I

102
00:06:18,839 --> 00:06:21,760
Speaker 1: see her name. Her name is always associated to some

103
00:06:21,839 --> 00:06:24,840
Speaker 1: type of hatred, and it just was like, I don't

104
00:06:24,839 --> 00:06:27,560
Speaker 1: know who one, I have no idea who this lady is,

105
00:06:28,120 --> 00:06:31,120
Speaker 1: but even more, why why does everyone hate her? Like?

106
00:06:31,160 --> 00:06:34,720
Speaker 1: What did she do that's so terrible? And honestly, I

107
00:06:34,800 --> 00:06:38,040
Speaker 1: just I think it's when I call it the Kardashian syndrome,

108
00:06:38,279 --> 00:06:41,640
Speaker 1: where everyone just kind of hates the Kardashians to hate them.

109
00:06:41,680 --> 00:06:44,080
Speaker 1: I'm not a fan, I will say very outwardly, I'm

110
00:06:44,080 --> 00:06:47,320
Speaker 1: not a Kardashian fan either, but I am very intrigued

111
00:06:47,400 --> 00:06:50,920
Speaker 1: as to who is this woman and what she did

112
00:06:51,160 --> 00:06:53,600
Speaker 1: to make the world hate her. So I'm just kind

113
00:06:53,640 --> 00:06:55,920
Speaker 1: of following it with my left eye, not really giving

114
00:06:55,920 --> 00:06:58,719
Speaker 1: it too much attention, but it is something that is

115
00:06:58,760 --> 00:07:04,120
Speaker 1: on my radar. Julia x is the actor from Uncut Gems, Utah,

116
00:07:04,200 --> 00:07:09,120
Speaker 1: Uncut Jobs, and is really good in that movie, really

117
00:07:09,920 --> 00:07:14,200
Speaker 1: good in a Steven Soderberg movie that I can't remember

118
00:07:14,240 --> 00:07:16,800
Speaker 1: the name of those like a period piece that came

119
00:07:16,800 --> 00:07:23,040
Speaker 1: out fairly recently, and and she dated kind of Kanye,

120
00:07:23,120 --> 00:07:26,360
Speaker 1: And I think that's when people were like, no, yeah,

121
00:07:27,360 --> 00:07:32,240
Speaker 1: I feel like it's just general, like you know, she

122
00:07:32,480 --> 00:07:36,400
Speaker 1: there have been some quotes that people have pulled and

123
00:07:36,480 --> 00:07:40,200
Speaker 1: been like, see Julia Fox is the worst. But the

124
00:07:40,280 --> 00:07:44,480
Speaker 1: longer I've done a job that requires me to pay

125
00:07:44,520 --> 00:07:49,160
Speaker 1: attention to the news, the more I realized that you

126
00:07:49,200 --> 00:07:53,200
Speaker 1: can make anyone seem like anything by pulling the right quote.

127
00:07:53,760 --> 00:07:55,800
Speaker 1: And this just feels like a lot of heat to

128
00:07:55,920 --> 00:07:58,920
Speaker 1: me that like, I don't know it's coming from not

129
00:07:59,000 --> 00:08:05,920
Speaker 1: necessarily the the most well intentioned places and people. And

130
00:08:05,960 --> 00:08:08,920
Speaker 1: also when the spotlight is cast upon you so rapidly,

131
00:08:09,040 --> 00:08:13,280
Speaker 1: so quickly, it's like who is ready for that moment? Precisely?

132
00:08:13,360 --> 00:08:15,920
Speaker 1: And all of the random, bating questions that get thrown

133
00:08:15,920 --> 00:08:18,040
Speaker 1: at you, it's like every opportunity is an opportunity for

134
00:08:18,080 --> 00:08:20,680
Speaker 1: someone to be like, well, let's maybe reveal something stupid

135
00:08:20,720 --> 00:08:22,360
Speaker 1: about this person so we can sauce them on the

136
00:08:22,360 --> 00:08:26,560
Speaker 1: internet for a week. Strain. It's just unfair. I would

137
00:08:26,560 --> 00:08:29,960
Speaker 1: say John is ready for the for the spotlight, but

138
00:08:30,120 --> 00:08:36,959
Speaker 1: nobody else that I've ever encountered. Facts during your search too,

139
00:08:37,160 --> 00:08:39,480
Speaker 1: did you come across did you come up with any

140
00:08:39,600 --> 00:08:42,760
Speaker 1: opinion or you're you're just monitoring, You're just letting the

141
00:08:42,760 --> 00:08:46,600
Speaker 1: world know you're on it. I'm just I'm just monitoring it.

142
00:08:46,679 --> 00:08:49,200
Speaker 1: I don't think I really have a position. I think

143
00:08:49,200 --> 00:08:52,000
Speaker 1: it's just one of those things. Oh gosh, I'm probably

144
00:08:52,000 --> 00:08:53,360
Speaker 1: gonna get in a lot of trouble. See I can

145
00:08:53,440 --> 00:08:55,200
Speaker 1: keep I'm gonna I'm gonna step in some mud here.

146
00:08:55,480 --> 00:09:00,360
Speaker 1: I don't care about like white women enough, like open

147
00:09:00,480 --> 00:09:03,800
Speaker 1: like white lady things, and I feel like this is

148
00:09:03,800 --> 00:09:06,720
Speaker 1: a very white lady conversation, and so like I opened

149
00:09:06,720 --> 00:09:09,920
Speaker 1: the article and I was like, oh whatever, by like

150
00:09:10,000 --> 00:09:12,920
Speaker 1: it just it didn't feel like it was enough for

151
00:09:13,000 --> 00:09:17,439
Speaker 1: me to actually like engage in the conversation. Like if

152
00:09:17,480 --> 00:09:20,200
Speaker 1: someone like, I mean Beyonce, everyone knows I'm a huge

153
00:09:20,200 --> 00:09:23,880
Speaker 1: Beyonce fan, I'm gonna engage in that conversation. But like

154
00:09:24,040 --> 00:09:26,520
Speaker 1: with like Julia Fox in the world hating her, it's like,

155
00:09:26,559 --> 00:09:29,120
Speaker 1: oh so sorry, lady, you're rich and people don't like you.

156
00:09:29,320 --> 00:09:32,200
Speaker 1: Oh well, so that's kind of what the conversation was

157
00:09:32,280 --> 00:09:33,720
Speaker 1: for me. It was just like poked my head in,

158
00:09:34,080 --> 00:09:36,480
Speaker 1: looked around and was like, oh, another white lady on

159
00:09:36,520 --> 00:09:38,520
Speaker 1: the internet that people don't like. All right, I gotta

160
00:09:38,559 --> 00:09:40,280
Speaker 1: go like it just it felt like I had a

161
00:09:40,320 --> 00:09:43,800
Speaker 1: little better things to do. So, what is something you

162
00:09:43,840 --> 00:09:48,160
Speaker 1: think is underrated? So I had tweeted something about this yesterday.

163
00:09:48,280 --> 00:09:50,280
Speaker 1: I find on social media that there are a lot

164
00:09:50,360 --> 00:09:52,480
Speaker 1: of people who always want to be the smartest person

165
00:09:52,520 --> 00:09:55,120
Speaker 1: in the room. The underrated thing for me is sometimes

166
00:09:55,160 --> 00:09:57,839
Speaker 1: it's okay to not have a thought and opinion or

167
00:09:57,840 --> 00:10:00,560
Speaker 1: a hot take, Like it's okay for you to not

168
00:10:00,679 --> 00:10:02,560
Speaker 1: be the smartest person to remark, I even said, I

169
00:10:02,600 --> 00:10:05,160
Speaker 1: have a doctor's degree, and I don't even pretend to

170
00:10:05,160 --> 00:10:07,880
Speaker 1: act like I know everything, Like I just don't. Like,

171
00:10:07,960 --> 00:10:10,320
Speaker 1: I genuinely will speak on things that I think need

172
00:10:10,400 --> 00:10:12,000
Speaker 1: to be spoken on, and then there are just some

173
00:10:12,040 --> 00:10:13,880
Speaker 1: things and I'm just like, I don't really have an

174
00:10:13,920 --> 00:10:16,760
Speaker 1: opinion on that, Like I just don't care. And I

175
00:10:16,800 --> 00:10:18,760
Speaker 1: think every I think we really need to. Like I

176
00:10:18,760 --> 00:10:21,360
Speaker 1: feel like if we got were more invested in not

177
00:10:21,440 --> 00:10:23,760
Speaker 1: always trying to be the smartest person on the internet,

178
00:10:24,320 --> 00:10:26,200
Speaker 1: I feel like the internet would be a much more

179
00:10:26,280 --> 00:10:29,480
Speaker 1: enjoyable place. I think that's such a novel idea, to

180
00:10:29,840 --> 00:10:32,360
Speaker 1: not say something when you have no idea what you're

181
00:10:32,360 --> 00:10:35,680
Speaker 1: talking about. I definitely find in those scenarios, you know,

182
00:10:35,760 --> 00:10:38,880
Speaker 1: and in our overly connected world of Twitter, you probably

183
00:10:38,920 --> 00:10:43,439
Speaker 1: have seen a thought that maybe speaks or puts to

184
00:10:43,559 --> 00:10:47,360
Speaker 1: words your opinion in a way that's informed and smart

185
00:10:47,520 --> 00:10:50,400
Speaker 1: and said by someone who has done the research. And

186
00:10:50,520 --> 00:10:52,960
Speaker 1: rather than simply parent what they're saying in your own

187
00:10:53,000 --> 00:10:54,960
Speaker 1: words that are kind of come out stilted or maybe

188
00:10:54,960 --> 00:10:58,800
Speaker 1: not baked, I just hit the old retweet and then

189
00:10:58,800 --> 00:11:00,920
Speaker 1: you know what you do? You is that person to

190
00:11:00,960 --> 00:11:03,760
Speaker 1: power you. You like, give that person the platform and

191
00:11:03,800 --> 00:11:06,520
Speaker 1: the stage, and you know what, you can leave your

192
00:11:06,679 --> 00:11:10,240
Speaker 1: voice out of it. So I really appreciate a lot

193
00:11:11,200 --> 00:11:13,400
Speaker 1: that part. I simply will just say that part or

194
00:11:13,400 --> 00:11:15,800
Speaker 1: oh my gosh, this is awesome, or like I'm so

195
00:11:15,840 --> 00:11:18,760
Speaker 1: glad someone finally said it, like you don't always have

196
00:11:18,880 --> 00:11:22,600
Speaker 1: to be that person to regurgitate an idea, and it's

197
00:11:22,640 --> 00:11:23,960
Speaker 1: just but you know what, I think. What I was

198
00:11:24,000 --> 00:11:27,880
Speaker 1: more speaking to there is someone that I engage with

199
00:11:28,080 --> 00:11:33,079
Speaker 1: on and on on the instau Insta, like Twitter, just everywhere,

200
00:11:33,120 --> 00:11:35,800
Speaker 1: and this person always seems to want to take your

201
00:11:35,880 --> 00:11:38,959
Speaker 1: thoughts and like like, well, what do you mean here?

202
00:11:39,000 --> 00:11:40,640
Speaker 1: What do you do? And I'm like, okay, I'm not

203
00:11:40,679 --> 00:11:42,960
Speaker 1: doing this, so I have the muted now. But it's

204
00:11:43,000 --> 00:11:45,480
Speaker 1: one of those like that's what I was specifically speaking

205
00:11:45,520 --> 00:11:48,560
Speaker 1: to was those individuals who always seem to want to

206
00:11:48,640 --> 00:11:51,559
Speaker 1: like engage in something that and make it more than

207
00:11:51,559 --> 00:11:55,080
Speaker 1: what it really is. It's really so yeah, and that

208
00:11:55,200 --> 00:11:59,280
Speaker 1: person right now is repeatedly asking you, but what do

209
00:11:59,280 --> 00:12:01,360
Speaker 1: you mean? No, serie, like right here, what do you mean?

210
00:12:01,400 --> 00:12:04,120
Speaker 1: What do you like just in a in a vacuum,

211
00:12:04,160 --> 00:12:08,760
Speaker 1: just in the vacuum of space by themselves. Just I

212
00:12:08,800 --> 00:12:12,200
Speaker 1: gotta say, just as an addendum, I have made it

213
00:12:12,280 --> 00:12:15,000
Speaker 1: my job with this podcast, part of my job to

214
00:12:15,160 --> 00:12:18,199
Speaker 1: be the dumbest person in the room with like a

215
00:12:18,600 --> 00:12:23,160
Speaker 1: really brilliant series of co hosts or Miles when he's around,

216
00:12:23,200 --> 00:12:28,640
Speaker 1: and just brilliant guests. And that is highly Thank you

217
00:12:28,760 --> 00:12:32,840
Speaker 1: so much. That is a wonderful you know, you learn,

218
00:12:33,080 --> 00:12:38,120
Speaker 1: you get better, and you just openly embrace your your stupidity.

219
00:12:38,200 --> 00:12:42,400
Speaker 1: I highly recommend it. It's fun sometimes to embrace that.

220
00:12:43,000 --> 00:12:46,600
Speaker 1: What is something you think is overrated? So I went

221
00:12:46,600 --> 00:12:49,160
Speaker 1: back and forth with this. I had another thought right

222
00:12:49,200 --> 00:12:52,040
Speaker 1: before I got on my Peloton bike and I said

223
00:12:52,080 --> 00:12:57,080
Speaker 1: to myself social media, Instagram, fit culture, it's overrated. And

224
00:12:57,120 --> 00:13:00,040
Speaker 1: what I mean by that is I have no I

225
00:13:00,080 --> 00:13:03,400
Speaker 1: have people constantly, so I post daily like what what

226
00:13:03,559 --> 00:13:06,400
Speaker 1: rides I take on my peloton just because I have

227
00:13:06,480 --> 00:13:08,880
Speaker 1: a lot of friends who are always like I don't

228
00:13:08,920 --> 00:13:11,960
Speaker 1: have enough time to really like curate a ride, like

229
00:13:12,000 --> 00:13:14,439
Speaker 1: can you tell me what right or who you think

230
00:13:14,520 --> 00:13:16,079
Speaker 1: is the best? So I just post my stuff in

231
00:13:16,120 --> 00:13:19,120
Speaker 1: my stories for my friends to see. Well, winds up

232
00:13:19,160 --> 00:13:21,800
Speaker 1: happening is is when I posted my stories or when

233
00:13:21,840 --> 00:13:24,959
Speaker 1: I post on my like actual page all of these

234
00:13:25,000 --> 00:13:29,680
Speaker 1: Instagram social media like fits follower people will come and

235
00:13:29,720 --> 00:13:31,520
Speaker 1: be like, do you want to lose weight? Do you

236
00:13:31,559 --> 00:13:33,560
Speaker 1: want to do this? And it's like, no, I actually

237
00:13:33,679 --> 00:13:35,560
Speaker 1: don't want to lose weight. I just write my peloton

238
00:13:36,120 --> 00:13:38,280
Speaker 1: because I am black, fat and queer, and I live

239
00:13:38,280 --> 00:13:39,840
Speaker 1: in a world that hates me and I have to

240
00:13:39,840 --> 00:13:42,560
Speaker 1: do something to get all of this energy out, and

241
00:13:42,600 --> 00:13:44,720
Speaker 1: so I'm always kind of like, just leave me alone.

242
00:13:44,800 --> 00:13:47,240
Speaker 1: And so one of the thoughts that I had connected

243
00:13:47,280 --> 00:13:50,040
Speaker 1: to that is it's just how awful a lot of

244
00:13:50,080 --> 00:13:53,200
Speaker 1: the Instagram fit culture is. And I was just thinking

245
00:13:53,200 --> 00:13:55,679
Speaker 1: to myself, a lot of them are angry because they're hungry,

246
00:13:56,000 --> 00:13:58,280
Speaker 1: like you rag on people like myself because you have

247
00:13:58,360 --> 00:14:01,080
Speaker 1: an attitude because you have not been able to eat

248
00:14:01,360 --> 00:14:03,720
Speaker 1: all you've had today as a carrot in some air

249
00:14:04,200 --> 00:14:08,720
Speaker 1: like get away from me, Like, leave me alone. Don't

250
00:14:08,720 --> 00:14:12,000
Speaker 1: be mad at me because I enjoyed two tacos yesterday

251
00:14:12,320 --> 00:14:15,200
Speaker 1: and you didn't. You couldn't do that, right, So I

252
00:14:15,240 --> 00:14:18,120
Speaker 1: don't know. I'm just I'm really over Instagram fit culture.

253
00:14:18,240 --> 00:14:21,200
Speaker 1: I'm over this idea that starving yourself is like going

254
00:14:21,240 --> 00:14:24,200
Speaker 1: to make you somehow better. I'd rather just eat because

255
00:14:24,200 --> 00:14:25,760
Speaker 1: who knows when we're all going to get hit by

256
00:14:25,760 --> 00:14:29,360
Speaker 1: an asteroid. It's it's coming very fast. So I'm just

257
00:14:29,440 --> 00:14:31,640
Speaker 1: kind of like, I'm here and I don't want to

258
00:14:31,640 --> 00:14:35,720
Speaker 1: be hungry when that happens. Definitely agreed on the eating part.

259
00:14:35,800 --> 00:14:38,040
Speaker 1: I'm with that a thousand percent, just to do it.

260
00:14:38,680 --> 00:14:41,640
Speaker 1: What is something you've learned from you You kind of

261
00:14:41,680 --> 00:14:45,960
Speaker 1: alluded to sort of the premise of BFF and like,

262
00:14:46,360 --> 00:14:49,120
Speaker 1: you know, feeling like society hates you. What is something

263
00:14:49,160 --> 00:14:54,680
Speaker 1: that like you've learned from making the show? Wow? I well,

264
00:14:55,080 --> 00:14:59,960
Speaker 1: now I feel like Beyonce like, WHOA what am I asking? I?

265
00:15:00,600 --> 00:15:03,720
Speaker 1: Um no, what as I learned from making the from

266
00:15:03,720 --> 00:15:06,440
Speaker 1: the podcast? I think for me, it's you know, there's

267
00:15:06,480 --> 00:15:09,000
Speaker 1: there's something in this world where it's like we all

268
00:15:09,000 --> 00:15:10,520
Speaker 1: find I feel like I'm getting ready to go into

269
00:15:10,560 --> 00:15:14,880
Speaker 1: my speaker voice. But we all we all kind of

270
00:15:14,960 --> 00:15:17,400
Speaker 1: learned how to talk about things that were passionate about,

271
00:15:17,920 --> 00:15:20,720
Speaker 1: and we all learn how to kind of like stand

272
00:15:20,920 --> 00:15:23,680
Speaker 1: in our authenticity in some type of way, right, Like

273
00:15:23,960 --> 00:15:26,160
Speaker 1: there are people who authentically stand in the idea that

274
00:15:26,240 --> 00:15:28,040
Speaker 1: having an android is a good idea, Like there are

275
00:15:28,040 --> 00:15:32,280
Speaker 1: people who have ideas that you know, you know, certain

276
00:15:32,320 --> 00:15:35,240
Speaker 1: foods are certain artists are great or whatever. Right, we

277
00:15:35,400 --> 00:15:37,760
Speaker 1: learned to stand in that authenticity in a way. And

278
00:15:37,800 --> 00:15:40,280
Speaker 1: I think for me, kind of being serious like this

279
00:15:40,360 --> 00:15:43,640
Speaker 1: podcast really allowed me to say, I'm gonna put all

280
00:15:43,680 --> 00:15:45,960
Speaker 1: of me in front of this mike and I'm gonna

281
00:15:46,040 --> 00:15:48,120
Speaker 1: leave it there in a way that no one has

282
00:15:48,160 --> 00:15:50,760
Speaker 1: ever done. And it didn't hit me until actually one

283
00:15:50,800 --> 00:15:54,240
Speaker 1: of the really big important people from my heart called

284
00:15:54,320 --> 00:15:56,120
Speaker 1: me and said, you know, I just wanted to check

285
00:15:56,120 --> 00:15:57,880
Speaker 1: in and see how the podcast is going, but I

286
00:15:57,920 --> 00:16:00,160
Speaker 1: really want to make sure that I reiterate how like

287
00:16:00,280 --> 00:16:03,560
Speaker 1: revolutionary this is. Do know that there are very few

288
00:16:03,600 --> 00:16:08,720
Speaker 1: podcasts anywhere that are specifically focusing on intersectionality in the

289
00:16:08,760 --> 00:16:10,360
Speaker 1: way that you're doing it, And so that kind of

290
00:16:10,400 --> 00:16:13,600
Speaker 1: like blew my mind that it's like I'm really putting

291
00:16:13,600 --> 00:16:15,920
Speaker 1: myself out there in front of a microphone for people,

292
00:16:16,120 --> 00:16:18,040
Speaker 1: and and really standing in that in a way that

293
00:16:18,400 --> 00:16:20,720
Speaker 1: for years I was so afraid to do. And I

294
00:16:20,760 --> 00:16:22,160
Speaker 1: think that that for me is the one thing that

295
00:16:22,200 --> 00:16:24,960
Speaker 1: I learned, Like, once you've learned to fully accept who

296
00:16:25,000 --> 00:16:27,320
Speaker 1: you are and you tell the world you're gonna get

297
00:16:27,320 --> 00:16:30,040
Speaker 1: it whether you like it or not, um, how much

298
00:16:30,520 --> 00:16:35,560
Speaker 1: better the world for yourself becomes. So yeah, have you

299
00:16:35,600 --> 00:16:39,360
Speaker 1: felt that bleed over to personally, just as somebody who

300
00:16:39,520 --> 00:16:44,680
Speaker 1: is more outgoing on Mike than in personal settings, Like

301
00:16:44,840 --> 00:16:48,720
Speaker 1: is that something that you feel you've been able to

302
00:16:48,800 --> 00:16:52,200
Speaker 1: kind of incorporate into the rest of your life or

303
00:16:52,440 --> 00:16:55,480
Speaker 1: I don't know, it's just curious as you were describing that.

304
00:16:56,480 --> 00:16:58,400
Speaker 1: I think for me, the big the bigger part is

305
00:16:58,480 --> 00:17:01,120
Speaker 1: being comfortable with being non by Nary. There was a moment,

306
00:17:01,520 --> 00:17:03,280
Speaker 1: you know, like when I first got my nails done,

307
00:17:03,280 --> 00:17:05,440
Speaker 1: when I was really nervous about how people are gonna

308
00:17:05,480 --> 00:17:07,960
Speaker 1: anvict with me. It was the first time I ever

309
00:17:08,000 --> 00:17:10,120
Speaker 1: wore heels, the first time that I ever really wore

310
00:17:11,080 --> 00:17:14,320
Speaker 1: because you know, most places don't carry clothes in my siyes.

311
00:17:14,680 --> 00:17:16,440
Speaker 1: So the first time that I ever like ordered from

312
00:17:16,440 --> 00:17:19,399
Speaker 1: Shan and found something I was really comfortable and wore it.

313
00:17:19,400 --> 00:17:21,440
Speaker 1: It was just there are moments where I have to

314
00:17:21,520 --> 00:17:23,560
Speaker 1: kind of like check myself and say, this is who

315
00:17:23,600 --> 00:17:25,480
Speaker 1: you are and this is what people are just gonna

316
00:17:25,560 --> 00:17:27,480
Speaker 1: have to do with um. And I think that that's

317
00:17:27,520 --> 00:17:29,840
Speaker 1: what you know, the Black, Fat Thin podcast is, is

318
00:17:30,200 --> 00:17:33,400
Speaker 1: you're getting a very like I said, not even just authentic,

319
00:17:33,440 --> 00:17:35,240
Speaker 1: but you're getting a real take on what it's like

320
00:17:35,280 --> 00:17:37,960
Speaker 1: to be me in a world where it's like I

321
00:17:38,000 --> 00:17:41,600
Speaker 1: constantly have to kind of like and and in different conversations,

322
00:17:41,720 --> 00:17:43,400
Speaker 1: is like you can only be black, or you can

323
00:17:43,400 --> 00:17:45,720
Speaker 1: only be queer, or you can only be fat. You

324
00:17:45,800 --> 00:17:48,640
Speaker 1: can't be all three, right, Like, there's no there there

325
00:17:48,640 --> 00:17:50,720
Speaker 1: are very few spaces that I feel like I can

326
00:17:50,760 --> 00:17:53,080
Speaker 1: talk about what that journey is. And so when it

327
00:17:53,160 --> 00:17:56,080
Speaker 1: when I'm talking about the idea that it cost an

328
00:17:56,160 --> 00:17:57,919
Speaker 1: arm and a leg for me to go buy something

329
00:17:58,000 --> 00:18:00,840
Speaker 1: from tor It and having my coho to be like, yeah, girl,

330
00:18:00,880 --> 00:18:02,760
Speaker 1: towards cloths are terrible, but did you hear about this

331
00:18:02,960 --> 00:18:05,400
Speaker 1: That place actually does really well for non binary people.

332
00:18:05,400 --> 00:18:07,879
Speaker 1: Like that kind of stuff is what this podcast is.

333
00:18:07,920 --> 00:18:10,680
Speaker 1: And so I'm just really excited to finally be able

334
00:18:10,720 --> 00:18:12,359
Speaker 1: to be in a place where, like I feel like

335
00:18:12,560 --> 00:18:16,080
Speaker 1: I fully accepted myself and said, you know, while y'all

336
00:18:16,080 --> 00:18:19,280
Speaker 1: are laughing at me, I'm laughing to the bank because

337
00:18:20,080 --> 00:18:22,600
Speaker 1: because now I have a pretty decent you know, you know,

338
00:18:22,800 --> 00:18:24,840
Speaker 1: my bank account looks nice because I get to be

339
00:18:24,920 --> 00:18:27,440
Speaker 1: my authentic self. And so that's the thing I think

340
00:18:27,440 --> 00:18:29,480
Speaker 1: for me where it's bleeding over, that I can actually

341
00:18:29,480 --> 00:18:32,720
Speaker 1: afford to shop at places that carry for X and

342
00:18:32,760 --> 00:18:36,400
Speaker 1: five X. So amazing. Well, everybody needs to go check

343
00:18:36,440 --> 00:18:41,119
Speaker 1: it out. It's truly an amazing show. From its first

344
00:18:41,160 --> 00:18:44,720
Speaker 1: episode is out today. What let's take a quick break,

345
00:18:44,880 --> 00:18:58,000
Speaker 1: will come back and we will talk with superproducer Tricia

346
00:18:59,320 --> 00:19:02,960
Speaker 1: And we are back and we are thrilled to be

347
00:19:03,119 --> 00:19:09,120
Speaker 1: joined by super producer Tricia Mookerjee. Tricia, how are you doing, Hello,

348
00:19:09,400 --> 00:19:13,520
Speaker 1: I'm doing really well. It was mom's yesterday. My phone

349
00:19:13,560 --> 00:19:16,320
Speaker 1: is still with me, but I lost it several times. Check.

350
00:19:16,400 --> 00:19:18,879
Speaker 1: But it was like minor more minor incidents and the

351
00:19:18,920 --> 00:19:23,360
Speaker 1: elevator incident and the kid taking incident. Lost your phone

352
00:19:23,400 --> 00:19:27,760
Speaker 1: through the tiny little slat, like the almost geometrically impossible

353
00:19:27,880 --> 00:19:30,199
Speaker 1: task of losing your phone through the slat between the

354
00:19:30,280 --> 00:19:34,959
Speaker 1: elevator and the floor, and then a child like stole

355
00:19:35,080 --> 00:19:37,320
Speaker 1: her phone and trying to take it away from her

356
00:19:37,440 --> 00:19:41,639
Speaker 1: within the span of two days. And I've been telling

357
00:19:41,640 --> 00:19:44,000
Speaker 1: her she needs to get rid of it with that

358
00:19:44,080 --> 00:19:47,800
Speaker 1: phone is trying to escape for a reason. But that's

359
00:19:47,880 --> 00:19:52,399
Speaker 1: probably not good advice. Also, I interrupted you, but you

360
00:19:52,440 --> 00:19:55,560
Speaker 1: were saying it was your mom's birthday. Happy birthday. Thank

361
00:19:55,600 --> 00:20:02,080
Speaker 1: you shall be thrilled to hear that. Yeah, alright, let's

362
00:20:02,119 --> 00:20:05,639
Speaker 1: talk about the first your first story as the Daily

363
00:20:05,760 --> 00:20:11,479
Speaker 1: Zeitgeist correspondent super producer Treasua. What what have you got for? Yeah, okay,

364
00:20:11,480 --> 00:20:14,040
Speaker 1: thank you for having me. So the story that I

365
00:20:14,119 --> 00:20:18,679
Speaker 1: have today is about the general topic of suing companies

366
00:20:18,680 --> 00:20:22,760
Speaker 1: that are polluting our air, water, et cetera, producing a

367
00:20:22,800 --> 00:20:26,280
Speaker 1: lot of carbon emissions. And so the specific case that

368
00:20:26,400 --> 00:20:30,160
Speaker 1: got me into this topic was a Peruvian farmer who

369
00:20:30,160 --> 00:20:33,160
Speaker 1: lives near Harras, which is a city in the western

370
00:20:33,200 --> 00:20:36,919
Speaker 1: part of Peru. And this farmer's name is so Luciano

371
00:20:37,400 --> 00:20:41,400
Speaker 1: Luyah and he's suing a German utility company called our

372
00:20:41,640 --> 00:20:47,320
Speaker 1: w E. So it's quite an interesting case because he

373
00:20:47,960 --> 00:20:50,560
Speaker 1: I guess his basis for the lawsuit is that our

374
00:20:50,760 --> 00:20:55,760
Speaker 1: w E has been producing point for seven percent of

375
00:20:55,800 --> 00:20:59,639
Speaker 1: the cumulative global industrial emissions of carbon and methane between

376
00:20:59,680 --> 00:21:04,119
Speaker 1: seven teen fifty one and point for seven isn't a

377
00:21:04,119 --> 00:21:07,480
Speaker 1: lot like that's a kind of tiny number. But his

378
00:21:07,640 --> 00:21:12,600
Speaker 1: claim is that because the emissions from this company's activities

379
00:21:12,640 --> 00:21:17,080
Speaker 1: are leading to ice, avalanches and glaciers melting, and the

380
00:21:17,200 --> 00:21:20,560
Speaker 1: lake near his city is rising and threatening to flood

381
00:21:20,560 --> 00:21:23,120
Speaker 1: his city and cause a lot of damages, our w

382
00:21:23,160 --> 00:21:27,080
Speaker 1: E should pay point for a seven percent of the

383
00:21:27,160 --> 00:21:33,119
Speaker 1: cost of repairs and also protection from climate change. Now, again,

384
00:21:33,280 --> 00:21:36,960
Speaker 1: for our w that is a tiny amount of money.

385
00:21:37,040 --> 00:21:40,320
Speaker 1: It comes out to around twenty thousand euros and their

386
00:21:40,640 --> 00:21:44,119
Speaker 1: total profit is twenty four point five billion euros in

387
00:21:44,200 --> 00:21:48,119
Speaker 1: just one year, So to them it's nothing more than

388
00:21:48,160 --> 00:21:51,520
Speaker 1: a rounding error. But this case is quite interesting because

389
00:21:51,640 --> 00:21:55,920
Speaker 1: it sets a precedent of can I sue a company

390
00:21:56,040 --> 00:22:00,119
Speaker 1: that's based half the world away for causing emissions that

391
00:22:00,200 --> 00:22:03,520
Speaker 1: don't really have boundaries and who they affect? Uh and

392
00:22:03,640 --> 00:22:06,640
Speaker 1: when they affect people and how they affect people? Am

393
00:22:06,680 --> 00:22:10,600
Speaker 1: I right in that? And in addition, how do we

394
00:22:11,000 --> 00:22:14,800
Speaker 1: use this method to hold leaders accountable? So I'm sure

395
00:22:14,880 --> 00:22:17,760
Speaker 1: we can get into this more. But it's very hard

396
00:22:17,840 --> 00:22:21,239
Speaker 1: to prove that for this farmer that our w E

397
00:22:21,480 --> 00:22:25,119
Speaker 1: is the direct cause of the glacier melting near his

398
00:22:25,320 --> 00:22:29,919
Speaker 1: house and that causing the flooding. So in addition to

399
00:22:30,000 --> 00:22:33,680
Speaker 1: that burden of proof, there's a lot of complications where

400
00:22:34,040 --> 00:22:37,679
Speaker 1: these companies have so much money, so much legal power

401
00:22:37,800 --> 00:22:41,400
Speaker 1: behind them, and so instead of being like, Okay, we'll

402
00:22:41,440 --> 00:22:45,080
Speaker 1: pay and help you with this thing that you're struggling with,

403
00:22:45,400 --> 00:22:48,240
Speaker 1: they sue you back, and then you have to protect

404
00:22:48,280 --> 00:22:52,040
Speaker 1: yourself against them instead of, uh, instead of working on

405
00:22:52,240 --> 00:22:57,040
Speaker 1: suing them for the damages that they've caused. So yeah,

406
00:22:57,160 --> 00:22:59,359
Speaker 1: we can get into that more later, but it's just

407
00:23:00,160 --> 00:23:04,320
Speaker 1: it's it's an interesting strategy, especially since we've seen so

408
00:23:04,400 --> 00:23:07,679
Speaker 1: much failure from our governments in terms of protecting us

409
00:23:07,680 --> 00:23:10,440
Speaker 1: from climate change. So if we can't rely on them,

410
00:23:10,600 --> 00:23:12,960
Speaker 1: is this one way that we can try to address it.

411
00:23:13,080 --> 00:23:16,440
Speaker 1: I'm curious to hear your thoughts is did they pick

412
00:23:16,560 --> 00:23:20,640
Speaker 1: our w E because Germany has like favorable laws because

413
00:23:20,640 --> 00:23:25,200
Speaker 1: I'm just looking at like the Global Emitters two thousand

414
00:23:25,200 --> 00:23:29,960
Speaker 1: and fifteen and like they've got Yeah, Chinese cole is

415
00:23:30,000 --> 00:23:32,639
Speaker 1: the number one with like fourteen percent, but then you've

416
00:23:32,680 --> 00:23:37,440
Speaker 1: got Saudia Ramco, Gas prom of Russia ex on Mobile

417
00:23:37,640 --> 00:23:40,760
Speaker 1: is that number five with like two percent? So I'm

418
00:23:40,840 --> 00:23:44,600
Speaker 1: just curious because like that is the main issue I see,

419
00:23:44,680 --> 00:23:49,639
Speaker 1: Like I know the story of Stephen Donzinger who successfully

420
00:23:49,720 --> 00:23:54,719
Speaker 1: sued Chevron and Ecuador one a massive lawsuit because they

421
00:23:54,720 --> 00:23:59,320
Speaker 1: were like directly like killing people with their yeah, just

422
00:23:59,359 --> 00:24:04,359
Speaker 1: like dumping poison into the environment of indigenous people down there,

423
00:24:04,560 --> 00:24:08,280
Speaker 1: and he sued them one a case down there, and

424
00:24:08,320 --> 00:24:14,000
Speaker 1: then Chevron basically made his life so miserable that he

425
00:24:14,080 --> 00:24:17,120
Speaker 1: was on house arrest for like a couple of years.

426
00:24:17,320 --> 00:24:21,399
Speaker 1: And so that's I think that is my The question

427
00:24:21,440 --> 00:24:25,720
Speaker 1: that pops up for me is like, are we like

428
00:24:25,960 --> 00:24:30,360
Speaker 1: going to just be able to pick international companies apart

429
00:24:30,960 --> 00:24:32,679
Speaker 1: like using this and like how do we bring it

430
00:24:32,680 --> 00:24:36,960
Speaker 1: back to US companies like Chevron? I mean, it is

431
00:24:37,119 --> 00:24:39,240
Speaker 1: like it does seem like one of the things that

432
00:24:39,320 --> 00:24:42,879
Speaker 1: we need to figure out, right to get something to

433
00:24:43,000 --> 00:24:47,040
Speaker 1: change right exactly. Well, so in this case, they chose

434
00:24:47,080 --> 00:24:50,360
Speaker 1: our w B I believe because they're still operating some

435
00:24:50,440 --> 00:24:55,000
Speaker 1: coal plants, so that's one of the reasons. And another

436
00:24:55,040 --> 00:24:57,840
Speaker 1: reason is just because they're working with German lawyers who

437
00:24:57,920 --> 00:25:00,879
Speaker 1: are familiar with the judicialists them in Germany and the

438
00:25:00,960 --> 00:25:05,119
Speaker 1: laws there um. But I think, yeah, it's totally in

439
00:25:05,240 --> 00:25:09,160
Speaker 1: bounds to sue these American companies and all the other

440
00:25:09,240 --> 00:25:13,640
Speaker 1: companies based around the world for the percentage of emissions

441
00:25:13,720 --> 00:25:17,960
Speaker 1: that they would be causing. Right, So when you sue, like,

442
00:25:18,280 --> 00:25:22,080
Speaker 1: what are we specifically suing for? We is it funds

443
00:25:22,400 --> 00:25:25,239
Speaker 1: or is Like I I don't the suit itself, Like

444
00:25:25,280 --> 00:25:29,120
Speaker 1: I'm trying to understand what the logic is of suing

445
00:25:29,119 --> 00:25:32,280
Speaker 1: the company. Are they having to pay for cleaner energy? Like?

446
00:25:32,320 --> 00:25:35,480
Speaker 1: What is it specifically? Are we trying to get out

447
00:25:35,480 --> 00:25:40,119
Speaker 1: of the lawsuit? Right? Right? So, in some previous cases,

448
00:25:40,160 --> 00:25:45,399
Speaker 1: there's been lawsuits that are like the companies need to

449
00:25:45,440 --> 00:25:48,240
Speaker 1: be held accountable and need to promise that they're going

450
00:25:48,280 --> 00:25:51,800
Speaker 1: to lower their emissions, and there have been successful lawsuits

451
00:25:51,840 --> 00:25:54,560
Speaker 1: like that. But they say that this is one of

452
00:25:54,560 --> 00:25:58,160
Speaker 1: the first lawsuits that's suing a company that's not even

453
00:25:58,200 --> 00:26:02,320
Speaker 1: in the vicinity of the person home who's suing. But

454
00:26:02,760 --> 00:26:08,399
Speaker 1: the the lawsuit is for damages and protection, so for example,

455
00:26:08,480 --> 00:26:11,119
Speaker 1: to build a wall around the city so that floodwater

456
00:26:11,240 --> 00:26:14,480
Speaker 1: doesn't get in, or if houses get destroyed they should

457
00:26:14,560 --> 00:26:19,000
Speaker 1: pay for that damage as well. So but you can imagine,

458
00:26:19,000 --> 00:26:23,320
Speaker 1: like if everyone was to sue each like energy company

459
00:26:23,400 --> 00:26:26,880
Speaker 1: that was causing emissions that affected us, that could be

460
00:26:27,000 --> 00:26:30,359
Speaker 1: a lot on them. And it's quite interesting in this article.

461
00:26:31,040 --> 00:26:35,600
Speaker 1: I mean, clearly people in these regions especially are suffering

462
00:26:35,760 --> 00:26:38,800
Speaker 1: from the effects of climate change, but there's people from

463
00:26:38,880 --> 00:26:41,320
Speaker 1: the U N and all these other companies that are

464
00:26:41,359 --> 00:26:44,320
Speaker 1: just saying, like, this is a direct quote from this

465
00:26:44,440 --> 00:26:48,200
Speaker 1: Financial Times article, the rules about a company's obligations should

466
00:26:48,240 --> 00:26:51,359
Speaker 1: be set by regulators, and businesses should be sure that

467
00:26:51,400 --> 00:26:54,320
Speaker 1: if they follow them in good faith, they're safe harbor

468
00:26:54,400 --> 00:26:56,920
Speaker 1: and they won't be sued. So it's basically saying like

469
00:26:57,080 --> 00:27:00,520
Speaker 1: the company should have this responsibility to just kind of

470
00:27:00,560 --> 00:27:04,640
Speaker 1: go along and everyone will be fine. But clearly that

471
00:27:04,920 --> 00:27:08,560
Speaker 1: hasn't happened ever in the past. That's literally there like

472
00:27:09,040 --> 00:27:12,800
Speaker 1: their mode of operations. So yeah, I'm just wondering what

473
00:27:12,880 --> 00:27:15,479
Speaker 1: kind of precedent this sets for the future, because you know,

474
00:27:15,840 --> 00:27:20,440
Speaker 1: the whole idea of law is, you know, having cases

475
00:27:20,480 --> 00:27:22,439
Speaker 1: that get ruled one way or the other, and that's

476
00:27:22,440 --> 00:27:25,400
Speaker 1: setting the precedent for future cases that come forward. So

477
00:27:25,560 --> 00:27:27,760
Speaker 1: if we are able to sort of set even some

478
00:27:27,800 --> 00:27:31,200
Speaker 1: sort of minor precedent that suing a company for damages,

479
00:27:31,680 --> 00:27:35,920
Speaker 1: you know, can result in a you know, and you

480
00:27:36,000 --> 00:27:39,960
Speaker 1: said it was um setting, you know case. Obviously it's

481
00:27:40,000 --> 00:27:42,400
Speaker 1: not a lot of money. The climate change affects everybody,

482
00:27:42,560 --> 00:27:44,920
Speaker 1: and if one person has that kind of has set

483
00:27:45,040 --> 00:27:47,040
Speaker 1: that precedent of you know, damage is being done to

484
00:27:47,640 --> 00:27:52,160
Speaker 1: my community, everybody in the community has has that same precedent.

485
00:27:52,160 --> 00:27:54,879
Speaker 1: Everybody in the community has that same reasoning, and everyone

486
00:27:54,920 --> 00:27:57,560
Speaker 1: around the world has a very similar reasoning. So maybe

487
00:27:57,600 --> 00:28:00,679
Speaker 1: as opposed to it being a singular great or some

488
00:28:01,200 --> 00:28:04,320
Speaker 1: it's it's you know, death by a thousand cuts where

489
00:28:04,520 --> 00:28:08,000
Speaker 1: or death by like seven billion cuts where everybody on

490
00:28:08,040 --> 00:28:10,120
Speaker 1: the planet is like, oh, we've a president to sue

491
00:28:10,280 --> 00:28:13,240
Speaker 1: you know, X on Mobile for We'll guess what I'm

492
00:28:13,240 --> 00:28:15,560
Speaker 1: about to get mine and run them out of business,

493
00:28:15,600 --> 00:28:18,000
Speaker 1: because you're right, you know, the idea that these companies

494
00:28:18,000 --> 00:28:22,119
Speaker 1: are gonna take it upon themselves to fix things, you know,

495
00:28:22,400 --> 00:28:25,480
Speaker 1: they're not. They're gonna just they'll they'll they'll lobby to

496
00:28:25,640 --> 00:28:27,760
Speaker 1: get the laws change that they don't fix it before

497
00:28:27,760 --> 00:28:31,639
Speaker 1: they actually fix anything. So I guess I'm curious, do

498
00:28:32,040 --> 00:28:34,479
Speaker 1: you think this kind of opens the floodgates for a

499
00:28:34,560 --> 00:28:38,520
Speaker 1: bunch of other kind of small lawsuits to slowly kill

500
00:28:38,600 --> 00:28:44,120
Speaker 1: these companies slowly. Mm hmm. I think absolutely it does.

501
00:28:44,400 --> 00:28:47,120
Speaker 1: And now this case hasn't been decided yet, they expect

502
00:28:47,120 --> 00:28:51,600
Speaker 1: that there will be conclusion next year, and I think

503
00:28:51,640 --> 00:28:57,680
Speaker 1: it definitely does open the possibility of it. But this

504
00:28:57,920 --> 00:29:02,320
Speaker 1: case has had a research team collecting evidence for so

505
00:29:02,360 --> 00:29:05,920
Speaker 1: many months. Um, it's quite expensive. I mean they've been

506
00:29:05,920 --> 00:29:09,560
Speaker 1: fundraising through like a grassroots effort and crowdfunding and that

507
00:29:09,680 --> 00:29:13,880
Speaker 1: sort of thing. So I think it sets a really

508
00:29:14,160 --> 00:29:18,040
Speaker 1: important precedent, but there's still a lot of obstacles for

509
00:29:18,320 --> 00:29:22,040
Speaker 1: the everyday person to be able to sue a big company.

510
00:29:22,080 --> 00:29:25,880
Speaker 1: But I also wonder if as this gets more common,

511
00:29:25,920 --> 00:29:29,520
Speaker 1: there will be more infrastructure for us as citizens to

512
00:29:29,800 --> 00:29:33,560
Speaker 1: use that ability. Yeah. I think just like precedents sets

513
00:29:33,600 --> 00:29:35,720
Speaker 1: the you know, sets the path for law to be

514
00:29:35,800 --> 00:29:39,360
Speaker 1: decided without all the extra like litigation. Similarly, you know,

515
00:29:39,560 --> 00:29:43,040
Speaker 1: we set a kind of a tactic to how we

516
00:29:43,080 --> 00:29:46,760
Speaker 1: do our research into these things, what information is most needed,

517
00:29:47,000 --> 00:29:49,600
Speaker 1: and kind of allow us to fast track finding the

518
00:29:49,640 --> 00:29:55,240
Speaker 1: proper information to nail down these companies for what they've done. Yeah. Cool,

519
00:29:55,480 --> 00:29:58,880
Speaker 1: I was saying earlier, like I I am skeptical that

520
00:29:58,920 --> 00:30:01,880
Speaker 1: this could ever work in America because of the Donzinger story.

521
00:30:02,000 --> 00:30:04,760
Speaker 1: And just like we we we usually don't even find

522
00:30:04,880 --> 00:30:10,760
Speaker 1: stories in US, like corporate media that criticized corporations, like

523
00:30:10,880 --> 00:30:15,080
Speaker 1: to the degree that you know, the corporations would not

524
00:30:15,120 --> 00:30:19,440
Speaker 1: approve of. So like the idea that the Supreme Court

525
00:30:19,560 --> 00:30:22,600
Speaker 1: down through like the US justice justice system would allow

526
00:30:23,320 --> 00:30:28,960
Speaker 1: something that completely dismantles these corporations, I feel like is

527
00:30:29,000 --> 00:30:32,440
Speaker 1: wishful thinking. But you did, like find these examples where

528
00:30:32,480 --> 00:30:37,800
Speaker 1: citizen suits have effectively been used in the US, right, right,

529
00:30:37,880 --> 00:30:41,280
Speaker 1: So I'll just read a few examples. So in Washington,

530
00:30:41,560 --> 00:30:44,719
Speaker 1: a citizens suit like this forced dairies to clean up

531
00:30:44,760 --> 00:30:48,600
Speaker 1: after that clean up the sewage from thousands of cows

532
00:30:48,600 --> 00:30:52,680
Speaker 1: that seeped into local actors, polluting the community's drinking water.

533
00:30:53,240 --> 00:30:56,440
Speaker 1: In Texas there is a successful suit against Exxon for

534
00:30:56,520 --> 00:31:00,320
Speaker 1: contaminating the air of a ten million pounds of pollution um.

535
00:31:00,320 --> 00:31:04,040
Speaker 1: And then Ohio there was another case where citizens suit

536
00:31:04,080 --> 00:31:08,840
Speaker 1: and airport for illegal discharges of fluids into streams and creeks,

537
00:31:09,480 --> 00:31:12,000
Speaker 1: And then that also led to a lot of other

538
00:31:12,040 --> 00:31:16,280
Speaker 1: citizen suits against airports for the same reason. So, yeah,

539
00:31:16,320 --> 00:31:19,320
Speaker 1: those were some successful instances. I think they're quite interesting

540
00:31:19,320 --> 00:31:23,360
Speaker 1: because they're they're very local, Like, yeah, maybe the x

541
00:31:23,520 --> 00:31:26,160
Speaker 1: on one is a bit different, but they're very local.

542
00:31:26,240 --> 00:31:30,440
Speaker 1: I think it's different to sue a company that's all

543
00:31:30,480 --> 00:31:33,480
Speaker 1: the way across the world. Yeah, that Texas x on one.

544
00:31:33,520 --> 00:31:36,400
Speaker 1: Because you're you're saying your notes that that was the

545
00:31:36,480 --> 00:31:40,200
Speaker 1: largest penalty resulting from a citizen suit in US history

546
00:31:40,360 --> 00:31:43,320
Speaker 1: like that, It'll be interesting to dig into that and

547
00:31:43,360 --> 00:31:46,240
Speaker 1: figure out, like did they actually get them to pay?

548
00:31:46,400 --> 00:31:49,840
Speaker 1: Did they just sue the lawyer of the of the

549
00:31:49,880 --> 00:31:54,600
Speaker 1: citizens who were suing like in the Donzinger Chevron Ecuador case.

550
00:31:55,040 --> 00:31:58,200
Speaker 1: But yeah, what can you talk about the like countersuits

551
00:31:58,640 --> 00:32:05,840
Speaker 1: that slaps appropriately named slap, Yeah, Like can you believe this?

552
00:32:05,960 --> 00:32:11,360
Speaker 1: So basically when companies face these citizens suits, they launched

553
00:32:11,360 --> 00:32:15,440
Speaker 1: this thing, which is a strategic lawsuit against public participation,

554
00:32:16,040 --> 00:32:18,840
Speaker 1: and the acronym for that is a slap, So they

555
00:32:19,000 --> 00:32:25,840
Speaker 1: just slap these people who are suing them. It's just

556
00:32:25,880 --> 00:32:30,760
Speaker 1: a little Rick James, just a light little slap across

557
00:32:30,800 --> 00:32:35,160
Speaker 1: the face, just the most disrespectful way that you can

558
00:32:35,200 --> 00:32:44,880
Speaker 1: deal with criticism, Like I don't need. Yeah, so a

559
00:32:45,040 --> 00:32:50,320
Speaker 1: slap is basically like, let's let's say Jack is suing

560
00:32:50,320 --> 00:32:53,600
Speaker 1: me because I'm a polluting company. I'm worried that Jack

561
00:32:53,680 --> 00:32:57,080
Speaker 1: is giving me a bad publicity. So instead I sued

562
00:32:57,200 --> 00:33:02,960
Speaker 1: Jack for libel defamation and like maybe say that he's lying.

563
00:33:03,600 --> 00:33:07,800
Speaker 1: And so then when I have my millions and millions

564
00:33:07,800 --> 00:33:10,760
Speaker 1: of dollars um spent on this legal case against Jack,

565
00:33:10,800 --> 00:33:13,320
Speaker 1: who only has you know, a tiny bit of money

566
00:33:13,400 --> 00:33:17,360
Speaker 1: to sue me, he's maneuvering all his resources away to

567
00:33:17,440 --> 00:33:21,480
Speaker 1: protecting himself instead of continuing to sue me and expose

568
00:33:21,600 --> 00:33:24,440
Speaker 1: me and show the rest of the world like how

569
00:33:24,520 --> 00:33:29,200
Speaker 1: damaging my actions are. So then Jack has effectively, you know,

570
00:33:29,600 --> 00:33:33,360
Speaker 1: if he fights my slap, he counters slaps me, and

571
00:33:33,440 --> 00:33:37,400
Speaker 1: that is becoming even more and more common. But as

572
00:33:37,440 --> 00:33:40,280
Speaker 1: you can see, it's just kind of a big distraction

573
00:33:40,400 --> 00:33:44,040
Speaker 1: from the actual problem. I mean, in the US, everyone

574
00:33:44,280 --> 00:33:47,400
Speaker 1: is suing everyone for everything, and this is just an

575
00:33:47,400 --> 00:33:50,520
Speaker 1: extension of that where instead of focusing on the actual

576
00:33:50,680 --> 00:33:55,320
Speaker 1: existential threat at hand, it's slaps and counterslops and more

577
00:33:55,400 --> 00:33:59,640
Speaker 1: counterslops and just keeps going and going. So in the

578
00:33:59,760 --> 00:34:03,360
Speaker 1: U US also we have a long history of the

579
00:34:03,680 --> 00:34:07,720
Speaker 1: corporate media like telling these stories and and then they

580
00:34:07,720 --> 00:34:10,920
Speaker 1: become urban legends. But this the urban legends that we

581
00:34:11,000 --> 00:34:16,120
Speaker 1: hear about corporations bed shipped to people and people suing

582
00:34:16,440 --> 00:34:19,880
Speaker 1: them are often treated at like the everybody knows the

583
00:34:19,960 --> 00:34:24,360
Speaker 1: McDonald's story person spills hot coffee on themselves and Susan McDonald's,

584
00:34:24,520 --> 00:34:29,000
Speaker 1: and it's always it had traditionally been held up as

585
00:34:29,040 --> 00:34:33,440
Speaker 1: a story of you know, how the legal system is

586
00:34:33,520 --> 00:34:38,280
Speaker 1: out of control and you know, just lazy, greedy people

587
00:34:38,400 --> 00:34:41,879
Speaker 1: can just use the court to sue and get the thing.

588
00:34:41,960 --> 00:34:44,440
Speaker 1: And the truth is that like that that person was

589
00:34:44,480 --> 00:34:48,799
Speaker 1: burned very badly and McDonald's was serving their coffee at

590
00:34:48,800 --> 00:34:53,440
Speaker 1: certain locations at a temperature that was actively like really

591
00:34:53,480 --> 00:34:58,560
Speaker 1: harming people, and it was incredibly important that they started

592
00:34:58,600 --> 00:35:01,160
Speaker 1: regulating that. And the thing got them to start regulating

593
00:35:01,200 --> 00:35:04,480
Speaker 1: that was when people started suing them. But the way

594
00:35:04,680 --> 00:35:10,400
Speaker 1: I just feel like America is so thoroughly steeped in

595
00:35:11,200 --> 00:35:17,920
Speaker 1: corporate like policy, corporate culture that even even stories about

596
00:35:18,400 --> 00:35:23,919
Speaker 1: people suing corporations for doing them harm are treated as

597
00:35:24,040 --> 00:35:27,840
Speaker 1: are are like reframed. And I don't have any evidence

598
00:35:27,920 --> 00:35:31,880
Speaker 1: that like Bloomberg and the New York Times conspired with

599
00:35:32,000 --> 00:35:35,080
Speaker 1: McDonald's to like make that the story. But I just

600
00:35:35,200 --> 00:35:39,240
Speaker 1: feel like it's, you know, America's immune system like attacks

601
00:35:39,360 --> 00:35:43,719
Speaker 1: anything that is like remotely left wing or has any

602
00:35:43,760 --> 00:35:48,480
Speaker 1: anti corporate bias like and immediately like turns it on itself.

603
00:35:48,520 --> 00:35:52,319
Speaker 1: Like it's almost like the singularity has happened and it

604
00:35:52,480 --> 00:35:57,080
Speaker 1: is capitalism. Yeah, And just one other thing about this

605
00:35:57,120 --> 00:36:01,239
Speaker 1: case is that there's, yeah, in this case, it's kind

606
00:36:01,239 --> 00:36:05,799
Speaker 1: of an individual versus a company, and they're both outside

607
00:36:06,040 --> 00:36:09,000
Speaker 1: the US. And yeah, the US, as you said, is

608
00:36:09,040 --> 00:36:12,960
Speaker 1: just a whole different beast. But for some, even you know,

609
00:36:13,080 --> 00:36:15,880
Speaker 1: much smaller countries that are just at the verge of

610
00:36:15,920 --> 00:36:21,000
Speaker 1: being underwater, they're thinking, how can we use this precedent

611
00:36:21,080 --> 00:36:24,000
Speaker 1: that's being set, Like can we sue big countries and

612
00:36:24,200 --> 00:36:27,480
Speaker 1: rich nations that have a lot of polluters and profit

613
00:36:27,600 --> 00:36:32,279
Speaker 1: from these companies actions, and yeah, and or can we

614
00:36:32,360 --> 00:36:36,200
Speaker 1: sue the companies directly? Rich nations in two thousand nine

615
00:36:36,239 --> 00:36:39,440
Speaker 1: promised to give developing nations a hundred billion dollars a

616
00:36:39,520 --> 00:36:43,400
Speaker 1: year by to mitigate damage from climate change. But this

617
00:36:43,440 --> 00:36:47,359
Speaker 1: school hasn't been met, and it's also vastly inadequate. So

618
00:36:47,520 --> 00:36:50,200
Speaker 1: that's kind of a big issue. But there's these small

619
00:36:50,320 --> 00:36:55,360
Speaker 1: island nations like to Value and Antigua and Barbuda, and

620
00:36:55,520 --> 00:36:58,200
Speaker 1: if the seas just rise a little bit more, they'll

621
00:36:58,239 --> 00:37:02,399
Speaker 1: literally be underwater. So I mean, they could potentially get

622
00:37:02,440 --> 00:37:06,279
Speaker 1: help by just against suing these companies are suing the

623
00:37:06,400 --> 00:37:10,319
Speaker 1: richer nations for not fulfilling their promises, and that could

624
00:37:10,400 --> 00:37:15,279
Speaker 1: just literally save entire countries. So yeah, I mean, I

625
00:37:15,320 --> 00:37:20,239
Speaker 1: think the US system is bureaucratic and complicated and insensitive,

626
00:37:20,719 --> 00:37:24,720
Speaker 1: as is the global system. And how well your nations

627
00:37:24,760 --> 00:37:27,719
Speaker 1: take advantage of poorer nations, uh, and don't give them,

628
00:37:27,920 --> 00:37:30,200
Speaker 1: don't fulfill promises, don't give them the help that they

629
00:37:30,239 --> 00:37:35,359
Speaker 1: deserve after just long legacies of colonialism. So yeah, they

630
00:37:35,400 --> 00:37:38,759
Speaker 1: just marry each other in that sense. Mhm, Yeah, I

631
00:37:38,760 --> 00:37:41,000
Speaker 1: mean I did this. This piece has given me a

632
00:37:41,040 --> 00:37:43,319
Speaker 1: lot of hope, and you know, I think a lot

633
00:37:43,320 --> 00:37:45,759
Speaker 1: of my skepticism about the U S system is like that.

634
00:37:46,400 --> 00:37:50,239
Speaker 1: Traditionally it's been headed by a Supreme Court that is,

635
00:37:50,719 --> 00:37:55,880
Speaker 1: for the past, you know century, very pro corporations, but

636
00:37:56,000 --> 00:37:59,200
Speaker 1: that's going to change as people, as like countries start

637
00:37:59,360 --> 00:38:03,319
Speaker 1: disappear under the ocean, like entire nations. I do feel

638
00:38:03,360 --> 00:38:06,279
Speaker 1: like public opinion on on these sorts of things will

639
00:38:06,400 --> 00:38:10,960
Speaker 1: change and this will eventually be be a way to

640
00:38:10,960 --> 00:38:13,759
Speaker 1: to go about attacking these companies and making them like

641
00:38:13,880 --> 00:38:16,040
Speaker 1: be part of the solution or I don't know if

642
00:38:16,080 --> 00:38:18,040
Speaker 1: they'll ever be part of the solution, but at least

643
00:38:18,560 --> 00:38:22,320
Speaker 1: making them fuck off and leave. M hmm, stop contributing

644
00:38:22,360 --> 00:38:27,760
Speaker 1: to the problem. Slap them away, just slap them away.

645
00:38:28,000 --> 00:38:31,719
Speaker 1: But that is like I feel like the slab is intentional, right,

646
00:38:31,840 --> 00:38:34,400
Speaker 1: like they've created that to be like it's all just

647
00:38:34,800 --> 00:38:37,480
Speaker 1: we're just involved a little slap fight here. It's like, no,

648
00:38:37,760 --> 00:38:41,799
Speaker 1: you are an entire side of a mountain fell off

649
00:38:41,920 --> 00:38:46,960
Speaker 1: and created a horrifying landslide that destroyed entire villages. You

650
00:38:47,440 --> 00:38:57,520
Speaker 1: monsters anyways, you monsters can people are dying actively right? Actively? Yeah? Well, Tricia,

651
00:38:58,239 --> 00:39:00,800
Speaker 1: great having you on. Thank you for bringing the story

652
00:39:00,840 --> 00:39:03,399
Speaker 1: to us. Yeah, thank you so much for having me.

653
00:39:04,080 --> 00:39:07,560
Speaker 1: Well we'll have you back soon. Great, all right, we're

654
00:39:07,560 --> 00:39:10,040
Speaker 1: gonna take a break and then we're gonna come back

655
00:39:10,440 --> 00:39:14,560
Speaker 1: and talk about those sea lions that came at people.

656
00:39:14,600 --> 00:39:17,120
Speaker 1: That wasn't that wasn't on the list, but it is

657
00:39:17,160 --> 00:39:21,279
Speaker 1: now because I have watched the video and it is

658
00:39:21,680 --> 00:39:25,600
Speaker 1: awesome the the other way that nature is fighting back.

659
00:39:26,200 --> 00:39:28,360
Speaker 1: Then it was coming. I was gonna say, yes, the

660
00:39:28,360 --> 00:39:31,000
Speaker 1: way nature is fighting back. And we talked. I think

661
00:39:31,040 --> 00:39:35,240
Speaker 1: somebody said safe harbor before. Well, this is no safe harbor, people,

662
00:39:35,480 --> 00:39:40,120
Speaker 1: this is an unsafe harbor of seals now their sea

663
00:39:40,160 --> 00:39:43,399
Speaker 1: lions ship. All right, we'll we'll work on that. We'll

664
00:39:43,400 --> 00:39:58,200
Speaker 1: be back, and we're back, and Daniel, I will. I

665
00:39:58,239 --> 00:40:00,720
Speaker 1: will leave it to you. You you you brought this clip

666
00:40:00,800 --> 00:40:05,480
Speaker 1: to the dock, and joyfully I did, because, as as

667
00:40:05,520 --> 00:40:09,640
Speaker 1: Tricia so so brilliantly pointed out, we are doing our

668
00:40:09,680 --> 00:40:13,040
Speaker 1: best to fight against the things that are directly affecting

669
00:40:13,040 --> 00:40:17,080
Speaker 1: our climate with lawsuits and protests and everything we can do.

670
00:40:17,200 --> 00:40:19,760
Speaker 1: And Tricia, thank you so much for that incredible story.

671
00:40:19,800 --> 00:40:22,520
Speaker 1: But let me tell you nature is taking it into

672
00:40:22,600 --> 00:40:26,640
Speaker 1: their own hands. The sea lions are revolting, and there's

673
00:40:26,880 --> 00:40:28,800
Speaker 1: thank you very much. I appreciate that hands a little.

674
00:40:28,840 --> 00:40:30,840
Speaker 1: That was a little human centric, and I apologize to

675
00:40:30,880 --> 00:40:33,359
Speaker 1: all of our animal listeners from that one. But our

676
00:40:33,560 --> 00:40:37,160
Speaker 1: era as alphad predators is grinding to a halt. Pack

677
00:40:37,320 --> 00:40:40,480
Speaker 1: up your bags, humans. The sea lions have designed our

678
00:40:40,520 --> 00:40:44,799
Speaker 1: time is over. But yes, so uh this footage that

679
00:40:44,840 --> 00:40:47,000
Speaker 1: many have seen, it was a very viral video that

680
00:40:47,080 --> 00:40:50,320
Speaker 1: was on the internet, on that Twitter, on the Instagram,

681
00:40:50,440 --> 00:40:52,880
Speaker 1: even on the TikTok potentially footage from a La Joya

682
00:40:53,000 --> 00:40:57,160
Speaker 1: cove in San Diego to sea lions chasing people down

683
00:40:57,200 --> 00:40:59,400
Speaker 1: off the beach. Some people grabbing their stuff and heading

684
00:40:59,400 --> 00:41:01,920
Speaker 1: for the hills, others just kind of gently scooting out

685
00:41:01,960 --> 00:41:04,320
Speaker 1: the way. The sea lions were not exactly like moving

686
00:41:04,360 --> 00:41:06,319
Speaker 1: super fast, but they were moving fast enough that people

687
00:41:06,400 --> 00:41:09,680
Speaker 1: were like oh oh oh and kind of making their

688
00:41:09,680 --> 00:41:12,960
Speaker 1: way out of the beach. They seem to be It

689
00:41:13,000 --> 00:41:19,040
Speaker 1: looked like it was a concerted, like pre planned military sweep,

690
00:41:19,440 --> 00:41:22,279
Speaker 1: like the way they came and they were in parallel

691
00:41:22,600 --> 00:41:28,000
Speaker 1: and just moving across the beach and it was in sync.

692
00:41:28,560 --> 00:41:30,960
Speaker 1: It was in sync. They were saying bye bye bye

693
00:41:31,080 --> 00:41:34,160
Speaker 1: to all the beach goers right there, thank you very much. Okay,

694
00:41:34,239 --> 00:41:36,120
Speaker 1: So now there's two perspectives on the story, and I

695
00:41:36,160 --> 00:41:38,080
Speaker 1: want to throw them both out there. So one of

696
00:41:38,080 --> 00:41:41,480
Speaker 1: them comes from a spokesperson from Sea World, classically canceled.

697
00:41:41,520 --> 00:41:45,200
Speaker 1: Sea World says this of the incident, you would really

698
00:41:45,200 --> 00:41:48,480
Speaker 1: only notice if you watch a lot of Sea lion behavior. Yeah, okay,

699
00:41:48,520 --> 00:41:50,719
Speaker 1: but the fact that one jumps in the water and

700
00:41:50,760 --> 00:41:54,440
Speaker 1: the other does so quickly after shows they are following

701
00:41:54,520 --> 00:41:56,719
Speaker 1: one another. Now, I think what they're trying to do

702
00:41:56,880 --> 00:41:58,960
Speaker 1: is is placate all the scary people who were like

703
00:41:59,160 --> 00:42:01,239
Speaker 1: those sea lion and all the pearl clutters who were

704
00:42:01,239 --> 00:42:03,200
Speaker 1: saying those sea lions came to attack me and see

705
00:42:03,239 --> 00:42:05,719
Speaker 1: worlds trying to say oh no, no, no, they were

706
00:42:05,760 --> 00:42:09,680
Speaker 1: playing and just following each other around. But that's a

707
00:42:09,719 --> 00:42:13,040
Speaker 1: bunch of maloney because if you go to the quote

708
00:42:13,080 --> 00:42:17,680
Speaker 1: from our friend who actually filmed the incident, they say,

709
00:42:17,800 --> 00:42:20,799
Speaker 1: the sea lions were sleeping and we're just massive on

710
00:42:20,840 --> 00:42:23,240
Speaker 1: the beach and I was watching them and this woman

711
00:42:23,480 --> 00:42:26,160
Speaker 1: got really close to them. Crucial note. This woman got

712
00:42:26,200 --> 00:42:28,680
Speaker 1: really close to them, like four ft away and was

713
00:42:28,719 --> 00:42:30,920
Speaker 1: trying to take a photo of it up close, and

714
00:42:30,920 --> 00:42:35,839
Speaker 1: it just woke up and started chasing everybody and let

715
00:42:35,880 --> 00:42:38,719
Speaker 1: me just so that's it right there. This is um

716
00:42:38,920 --> 00:42:42,520
Speaker 1: SeaWorld once again, just a quick note that sorry, uh yeah,

717
00:42:42,600 --> 00:42:46,040
Speaker 1: San Diego SeaWorld. Just quick note that they were actually

718
00:42:46,040 --> 00:42:53,160
Speaker 1: playing duckt Doug Goose and yeah, so she was after

719
00:42:53,640 --> 00:42:56,400
Speaker 1: the sea lions were completely on it. They're just playing.

720
00:42:56,719 --> 00:42:59,600
Speaker 1: It was just fun. No need to be worried, come

721
00:42:59,640 --> 00:43:02,800
Speaker 1: to see world. Have you seen the size of their teeth?

722
00:43:03,360 --> 00:43:06,720
Speaker 1: Like there is just something right, Like it's just something

723
00:43:07,239 --> 00:43:10,560
Speaker 1: alarming about Like I wouldn't even want to be No,

724
00:43:11,239 --> 00:43:15,080
Speaker 1: like they stink. Why would you get that close? Whoever,

725
00:43:15,840 --> 00:43:19,239
Speaker 1: everybody on that beach deserved it that day. Everybody could

726
00:43:19,239 --> 00:43:22,080
Speaker 1: not agree more. This smacks of people's relationship with hippos.

727
00:43:22,160 --> 00:43:24,520
Speaker 1: Hippos and one of the most dangerous animals in the world.

728
00:43:24,800 --> 00:43:27,040
Speaker 1: They classically kill some of the most humans ever because

729
00:43:27,040 --> 00:43:29,560
Speaker 1: people see them and they go hungry. Hungry hippos ha

730
00:43:29,560 --> 00:43:33,319
Speaker 1: ha ha. Hippos are large, they are fast, they're dangerous.

731
00:43:33,719 --> 00:43:37,680
Speaker 1: They will chomp you up. And sea lions may not

732
00:43:37,840 --> 00:43:40,239
Speaker 1: be as fast or quite as large, but they are

733
00:43:40,520 --> 00:43:43,960
Speaker 1: still big. They throw it around, they have teeth and

734
00:43:44,040 --> 00:43:46,000
Speaker 1: they will get at you. And it's a little bit

735
00:43:46,000 --> 00:43:48,600
Speaker 1: of like, what are you doing? What are you doing

736
00:43:48,680 --> 00:43:52,080
Speaker 1: messing with nature? Walking up to this gentle beast that,

737
00:43:52,360 --> 00:43:57,120
Speaker 1: per this account, was sleeping on the beach. Literally could

738
00:43:57,160 --> 00:43:59,640
Speaker 1: have just left it alone, But then someone decides to

739
00:43:59,719 --> 00:44:01,439
Speaker 1: go up because they want to snap a selfie, trying

740
00:44:01,440 --> 00:44:06,080
Speaker 1: to get the content and they get what's coming to that. Frankly,

741
00:44:06,280 --> 00:44:08,719
Speaker 1: it is deserved. That's all I said about that. Don't

742
00:44:08,760 --> 00:44:12,200
Speaker 1: funk with the animals, truly, hippos. Hippos are up there,

743
00:44:12,920 --> 00:44:18,239
Speaker 1: Hippo people killed a year, and you know dogs are

744
00:44:18,320 --> 00:44:21,880
Speaker 1: up there as well, which the nature of the amount

745
00:44:21,880 --> 00:44:25,680
Speaker 1: of dogs around, of course, exactly, it's it's cuteness. It's

746
00:44:25,760 --> 00:44:29,480
Speaker 1: the cuteness is the danger. Like people are like, oh

747
00:44:29,520 --> 00:44:34,200
Speaker 1: my god, a hippo, Like they're they're picturing the hippo,

748
00:44:34,920 --> 00:44:39,680
Speaker 1: the hippos from Fantasia in two twos, like dancing and

749
00:44:39,800 --> 00:44:45,080
Speaker 1: being fun, fun little goofs, and yeah, we really need

750
00:44:45,120 --> 00:44:48,239
Speaker 1: to leave animals alone. Like I'm just I'm happy that,

751
00:44:48,360 --> 00:44:52,960
Speaker 1: you know, our elephants are getting their time, sea lions,

752
00:44:53,280 --> 00:44:56,840
Speaker 1: we have hippos that are checking people. I'm just happy

753
00:44:56,920 --> 00:45:01,160
Speaker 1: that that that somewhere out there, you know, Simba and

754
00:45:01,239 --> 00:45:06,200
Speaker 1: his father said get these people together, and I am

755
00:45:06,280 --> 00:45:08,160
Speaker 1: so here for it. I would love to imagine that

756
00:45:08,239 --> 00:45:10,919
Speaker 1: Mufassa appeared in the clouds above those sea lions and said,

757
00:45:11,480 --> 00:45:16,680
Speaker 1: real time take the and they were like, is right,

758
00:45:16,719 --> 00:45:19,520
Speaker 1: we gotta do this thing. I think the thing that's

759
00:45:19,680 --> 00:45:23,120
Speaker 1: tab doubt is the fact that what I saw them galloping,

760
00:45:23,880 --> 00:45:28,319
Speaker 1: it was like they were sweeping the beach exactly. They

761
00:45:28,400 --> 00:45:31,839
Speaker 1: literally were sweeping the beach, like get out of here,

762
00:45:32,480 --> 00:45:36,200
Speaker 1: Like it's just I can't, I can't. Yeah, they weren't. Like.

763
00:45:36,239 --> 00:45:39,440
Speaker 1: We want one of you gone. We want the person

764
00:45:39,520 --> 00:45:41,799
Speaker 1: who was trying to take a picture with me while

765
00:45:41,800 --> 00:45:46,040
Speaker 1: I was sleeping gone. We want all of you systemically

766
00:45:46,080 --> 00:45:50,520
Speaker 1: off this beach right now and forevermore. Sea lions are

767
00:45:50,560 --> 00:45:54,319
Speaker 1: tired of Karen's too. Yes, let's take a video so

768
00:45:54,400 --> 00:46:00,399
Speaker 1: your people see this ship too. Okay, yeah, get the content. Man,

769
00:46:00,480 --> 00:46:03,440
Speaker 1: I'm just looking at the deadliest creatures worldwide by angle

770
00:46:03,560 --> 00:46:09,200
Speaker 1: number of human deaths. Okay, Snakes, i'd say, are the

771
00:46:09,560 --> 00:46:12,960
Speaker 1: you know, mosquitoes have the most seven hundred and fifty thousand.

772
00:46:13,440 --> 00:46:17,000
Speaker 1: Snakes are at a hundred thousand snakes, and snakes as

773
00:46:17,080 --> 00:46:20,720
Speaker 1: advertised snakes. You know, I think people are like, wells,

774
00:46:21,120 --> 00:46:24,680
Speaker 1: snakes aren't that bad. But there's uh, there's some bad snakes,

775
00:46:24,960 --> 00:46:27,319
Speaker 1: you know. I think I think those snakes fall into

776
00:46:27,360 --> 00:46:30,600
Speaker 1: the category of like ever present, but you don't think

777
00:46:30,600 --> 00:46:34,040
Speaker 1: about it, especially with mosquitoes. Mosquitoes especially it's like carrying

778
00:46:34,080 --> 00:46:36,560
Speaker 1: that malaria everywhere. You're like, oh, right, I guess they

779
00:46:36,600 --> 00:46:39,680
Speaker 1: do kill a bunch of people and snakes everywhere as well.

780
00:46:39,880 --> 00:46:41,920
Speaker 1: But then you line it up against more like classically

781
00:46:41,960 --> 00:46:45,320
Speaker 1: like dangerous animals, like shark attacks or like lion attacks,

782
00:46:45,440 --> 00:46:47,400
Speaker 1: or like, these are these big, ferocious beasts that are

783
00:46:47,400 --> 00:46:49,720
Speaker 1: out there in the world, maybe killing like a couple

784
00:46:49,719 --> 00:46:53,640
Speaker 1: of people, like very rare, six very rare for a

785
00:46:53,800 --> 00:46:55,640
Speaker 1: shark attack, but even though there's some of the most

786
00:46:55,640 --> 00:46:58,240
Speaker 1: like deadly animals in the world. But then you get

787
00:46:58,280 --> 00:47:02,200
Speaker 1: a hippo, and a hippo is just out classing your

788
00:47:02,280 --> 00:47:05,680
Speaker 1: lions and your tigers, your bears, oh my, by a

789
00:47:05,800 --> 00:47:08,280
Speaker 1: large extent. And it's like you have to give hippos

790
00:47:08,600 --> 00:47:12,840
Speaker 1: sea lions the credit they deserve. They are, they deserve

791
00:47:12,920 --> 00:47:16,480
Speaker 1: their space, So given to them something called assassin bugs

792
00:47:16,640 --> 00:47:18,920
Speaker 1: twelve thousand. I don't even know what that is, but

793
00:47:19,080 --> 00:47:23,240
Speaker 1: that I guess we should have known with that name scars.

794
00:47:23,640 --> 00:47:26,960
Speaker 1: But yeah, I mean, sharks are definitely the number one

795
00:47:27,000 --> 00:47:31,200
Speaker 1: threat animal threat based on movies there at the very

796
00:47:31,239 --> 00:47:34,200
Speaker 1: bottom of the list. That's good, that's good shark pr Honestly,

797
00:47:34,239 --> 00:47:37,160
Speaker 1: we need to get that in the mix. Yeah, swim

798
00:47:37,160 --> 00:47:41,560
Speaker 1: the sharks they killed the least people we've been we've

799
00:47:41,600 --> 00:47:48,040
Speaker 1: been trying. But all right, let's talk about Bloomberg. Bloomberg's

800
00:47:48,360 --> 00:47:52,560
Speaker 1: top cities for singles to relocate to, and it's a

801
00:47:52,640 --> 00:47:56,400
Speaker 1: list of ten. The number one city is Wichita, Kansas,

802
00:47:56,840 --> 00:48:00,880
Speaker 1: followed by Austin also on the list, and Tonio, Houston,

803
00:48:00,920 --> 00:48:04,759
Speaker 1: and Dallas all in the top ten as Milwaukee. So

804
00:48:05,239 --> 00:48:08,239
Speaker 1: we've got five states that are in reliably like deep

805
00:48:08,280 --> 00:48:12,680
Speaker 1: red states, five cities that are in reliably deep red states.

806
00:48:13,480 --> 00:48:18,120
Speaker 1: It feels like an article that was made twenty years ago. Maybe,

807
00:48:18,440 --> 00:48:23,359
Speaker 1: but yeah, we can't move to especially single people can't

808
00:48:23,360 --> 00:48:27,600
Speaker 1: move to reliably red states like Kansas or fucking Texas

809
00:48:27,640 --> 00:48:32,160
Speaker 1: like now that. Yeah, they don't have autonomy over their

810
00:48:32,200 --> 00:48:35,800
Speaker 1: own bodies, Like what what are you? It's it that

811
00:48:35,920 --> 00:48:39,520
Speaker 1: when you read the article, it's all based on rent price. Literally,

812
00:48:39,520 --> 00:48:41,799
Speaker 1: I was gonna say, this is literally one metric here

813
00:48:41,840 --> 00:48:45,279
Speaker 1: and it is rent price. Yeah. And they also advertised

814
00:48:45,280 --> 00:48:48,719
Speaker 1: witch Dot, Kansas as halfway between Manhattan and San Francisco,

815
00:48:48,840 --> 00:48:51,120
Speaker 1: as if it's like, oh, a convenient way point between

816
00:48:51,160 --> 00:48:53,080
Speaker 1: these two huge cities. We're talking in the middle of

817
00:48:53,120 --> 00:48:55,080
Speaker 1: an enormous country. It's like, well, you can take a

818
00:48:55,120 --> 00:48:57,800
Speaker 1: three hour flight in either direction to get to these places,

819
00:48:57,800 --> 00:49:03,840
Speaker 1: like halfway between what and what. Come on, They also

820
00:49:03,920 --> 00:49:08,400
Speaker 1: forgot to say you have to be white, whereas I'm

821
00:49:08,440 --> 00:49:11,719
Speaker 1: like a lot of these places are not safe for

822
00:49:12,080 --> 00:49:17,480
Speaker 1: marginalized or minoritized people. And so like seeing that, I'm

823
00:49:17,480 --> 00:49:21,120
Speaker 1: looking around, going, I wonder what the violence number looks

824
00:49:21,200 --> 00:49:25,359
Speaker 1: like there? Yeah, so you know, I I do want

825
00:49:25,400 --> 00:49:28,680
Speaker 1: to like specify, like not saying give these states or

826
00:49:28,719 --> 00:49:31,520
Speaker 1: these cities up for like, like I think that has

827
00:49:31,600 --> 00:49:34,960
Speaker 1: been a big reaction to the row thing is like

828
00:49:35,239 --> 00:49:38,840
Speaker 1: we'll just move and you know that's not a not

829
00:49:38,920 --> 00:49:41,480
Speaker 1: a solution. Shout out to Wichita, which how to rally

830
00:49:41,560 --> 00:49:46,040
Speaker 1: this weekend for a August election that's going to determine

831
00:49:46,080 --> 00:49:50,840
Speaker 1: if the constitution outright bands abortion and the turnout was

832
00:49:50,920 --> 00:49:55,200
Speaker 1: very inspiring, But just that that that is not mentioned

833
00:49:55,280 --> 00:49:58,560
Speaker 1: once in a thing where the title of the article

834
00:49:58,719 --> 00:50:01,200
Speaker 1: and the main thing is like this is where single

835
00:50:01,320 --> 00:50:09,839
Speaker 1: should go to mingle. It's like, what all right? And

836
00:50:09,880 --> 00:50:13,000
Speaker 1: finally there's an article in the take out about someone

837
00:50:13,080 --> 00:50:18,640
Speaker 1: coming to the terms with favored form of burrito consumption

838
00:50:19,160 --> 00:50:21,440
Speaker 1: discovering that it's not just her and I want to

839
00:50:21,480 --> 00:50:25,440
Speaker 1: just I want to invite listeners to share their own

840
00:50:25,719 --> 00:50:29,720
Speaker 1: so that we may find help you find your people.

841
00:50:29,760 --> 00:50:34,320
Speaker 1: But so the form of burrito consumption in question involves

842
00:50:34,719 --> 00:50:38,239
Speaker 1: creating a hole in the tortilla, sucking the insides out

843
00:50:38,360 --> 00:50:42,520
Speaker 1: until it's just like a flaccid tortilla, like an empty

844
00:50:42,520 --> 00:50:49,960
Speaker 1: sleeping bag like style. And yeah, that it made me

845
00:50:50,000 --> 00:50:55,040
Speaker 1: think of Vincent Dinofrio's Edgar and Men in Black, minus

846
00:50:55,120 --> 00:51:00,640
Speaker 1: the part where he wears around the skin pray. Imagine

847
00:51:00,640 --> 00:51:02,680
Speaker 1: you suck down your burrito and then put the burrito

848
00:51:02,800 --> 00:51:05,680
Speaker 1: skin over your face. I am the burrito. They don't

849
00:51:05,680 --> 00:51:09,040
Speaker 1: mention if that is part of the process that they

850
00:51:09,400 --> 00:51:12,120
Speaker 1: do with their burrito, so we we don't know, but

851
00:51:12,160 --> 00:51:15,280
Speaker 1: I'm guessing not, that's just the Buffalo bill style activity

852
00:51:15,320 --> 00:51:17,360
Speaker 1: you do after the fact. You don't tell anybody about that,

853
00:51:17,400 --> 00:51:19,640
Speaker 1: buttray and you're you know, you're in your bedroom breedom.

854
00:51:19,800 --> 00:51:28,799
Speaker 1: You have the brito fish. But I don't know. So

855
00:51:28,840 --> 00:51:31,200
Speaker 1: I've talked about how I big mac my oreos to

856
00:51:31,280 --> 00:51:34,320
Speaker 1: get the perfect cream to cookie ratio. That's just smart.

857
00:51:35,239 --> 00:51:41,279
Speaker 1: So oreos regular oreos not sweet enough for me. Um,

858
00:51:41,320 --> 00:51:46,920
Speaker 1: So I have to have like three cookies per two

859
00:51:47,000 --> 00:51:50,319
Speaker 1: creams when you big Mac your oreo, and that is

860
00:51:50,360 --> 00:51:53,640
Speaker 1: something I do quietly when nobody else is around. I'm

861
00:51:53,680 --> 00:51:56,360
Speaker 1: not like at a party big Mac and my oreos

862
00:51:56,600 --> 00:52:00,360
Speaker 1: totally proudly. But I do it. Yeah, they go, you do,

863
00:52:01,480 --> 00:52:04,680
Speaker 1: and I said, I do. I am person. I have

864
00:52:04,719 --> 00:52:07,640
Speaker 1: no shame. No, I've not thought about it that way,

865
00:52:07,880 --> 00:52:11,000
Speaker 1: but I do it. I have no shame in eating

866
00:52:11,040 --> 00:52:13,640
Speaker 1: things the way I want to eat things. Yeah, Jack,

867
00:52:13,760 --> 00:52:19,560
Speaker 1: I support that stand in your oreo ness and it

868
00:52:20,680 --> 00:52:23,960
Speaker 1: so we need more parties where we actually have collections

869
00:52:23,960 --> 00:52:26,560
Speaker 1: of snacks that people can modify to their own liking.

870
00:52:26,560 --> 00:52:29,400
Speaker 1: It's all meat and cheese plates and it's like that's fine,

871
00:52:29,719 --> 00:52:31,560
Speaker 1: but like, how are you gonna do you know, meat

872
00:52:31,600 --> 00:52:33,200
Speaker 1: and cheese a little differently. You're not gonna be like, well,

873
00:52:33,239 --> 00:52:37,160
Speaker 1: actually I wrapped the cheese around the meat. It's like, oh,

874
00:52:37,640 --> 00:52:39,399
Speaker 1: isn't that cool. It's like, no, give me a bunch

875
00:52:39,440 --> 00:52:42,920
Speaker 1: of oreos, Give me a big old thing of sour cream.

876
00:52:43,000 --> 00:52:45,120
Speaker 1: I don't know, get some pretzels, like you know, just

877
00:52:45,120 --> 00:52:46,719
Speaker 1: just mix all, get a whole bunch of snacks. And

878
00:52:46,760 --> 00:52:48,880
Speaker 1: they'll be like, how do you do this kind of stuff?

879
00:52:49,320 --> 00:52:51,760
Speaker 1: Because it's all about how we approach these snacks differently.

880
00:52:51,920 --> 00:52:54,440
Speaker 1: That makes them fun and gives everybody an opportunity to,

881
00:52:55,280 --> 00:52:58,600
Speaker 1: you know, consume in a fun manner. I'm just trying

882
00:52:58,600 --> 00:53:04,799
Speaker 1: to the way orioles are vegan. Oh that's right, at

883
00:53:04,880 --> 00:53:07,440
Speaker 1: some point, I love that. Good for oreos. Daniel. Did

884
00:53:07,480 --> 00:53:09,120
Speaker 1: you say you had your own? I do have my

885
00:53:09,120 --> 00:53:11,440
Speaker 1: own weird eating habits that I've talked about many times before.

886
00:53:11,520 --> 00:53:15,160
Speaker 1: My favorite is might consume my consumption of hummus and goldfish.

887
00:53:15,200 --> 00:53:17,680
Speaker 1: I will take my my spoonful, I will have a

888
00:53:17,800 --> 00:53:20,399
Speaker 1: bowl of hummus or just the hummus receptacle itself. Shout

889
00:53:20,440 --> 00:53:23,160
Speaker 1: out Trader Joe's, and I will get a bowl of goldfish.

890
00:53:23,200 --> 00:53:26,080
Speaker 1: I'll take my spoon and take a spoonful of hummus

891
00:53:26,480 --> 00:53:29,000
Speaker 1: and then just dip that spoonful of hummus into the

892
00:53:29,040 --> 00:53:31,920
Speaker 1: bowl of goldfish and make myself a little goldfish Hummus

893
00:53:32,160 --> 00:53:39,319
Speaker 1: Hummus lollipop and just like that little goldfish bomb. Yes, sir, yes, sir.

894
00:53:39,520 --> 00:53:42,120
Speaker 1: And you know some people are like, what, but let

895
00:53:42,160 --> 00:53:44,879
Speaker 1: me tell you something. No better way to consume those

896
00:53:44,920 --> 00:53:46,359
Speaker 1: two things at the same time. You get a good

897
00:53:46,360 --> 00:53:48,800
Speaker 1: amount of crisp, a little bit of that cheesy flavor

898
00:53:48,880 --> 00:53:50,880
Speaker 1: the salt, mixed them with the hummus. How else are

899
00:53:50,880 --> 00:53:52,600
Speaker 1: you gonna get the things that you can't be taking

900
00:53:52,600 --> 00:53:55,320
Speaker 1: a little goldfish and dipping in the hummus, getting hummus

901
00:53:55,320 --> 00:53:56,960
Speaker 1: all over your fingers there and then you gotta do

902
00:53:56,960 --> 00:54:00,080
Speaker 1: that gross like I'm licking your fingers while you're doing it.

903
00:54:00,000 --> 00:54:02,880
Speaker 1: It's safe, it's sanitary, and it's a great way to

904
00:54:02,920 --> 00:54:07,080
Speaker 1: consume hummus with goldfish and um, I will be taking quick.

905
00:54:08,000 --> 00:54:10,520
Speaker 1: You are correct, that is that is the correct way

906
00:54:10,520 --> 00:54:13,200
Speaker 1: to eat those two things in combination. I think other

907
00:54:13,239 --> 00:54:16,560
Speaker 1: people would claim, well, I just don't eat them then together,

908
00:54:17,160 --> 00:54:19,880
Speaker 1: but that's they're lying. I have eaten them together and

909
00:54:19,920 --> 00:54:23,160
Speaker 1: I have gotten the hummus on the fingies and it's

910
00:54:23,239 --> 00:54:26,320
Speaker 1: not great. It's not a proud moment, I will say. Also,

911
00:54:26,880 --> 00:54:30,320
Speaker 1: like with chips and salsa, it's the only way to

912
00:54:30,360 --> 00:54:33,080
Speaker 1: eat the bottom of the chip bag with the salsa

913
00:54:33,360 --> 00:54:37,719
Speaker 1: is to spoon of salsa, drop the chip crumbles on

914
00:54:37,760 --> 00:54:41,560
Speaker 1: the top, and then eat it like cereal or or

915
00:54:41,680 --> 00:54:44,080
Speaker 1: full on cereal, and just pour the rest of the

916
00:54:44,120 --> 00:54:48,080
Speaker 1: bag into the slowly lessening receptacle of salsa and just

917
00:54:48,239 --> 00:54:53,480
Speaker 1: you know scoop out. I can't get on board with that, unfortunately. Well,

918
00:54:53,640 --> 00:54:55,239
Speaker 1: you know, and then we are on different planes. But

919
00:54:55,320 --> 00:54:57,680
Speaker 1: let me tell you something. When my chip bag gets low,

920
00:54:57,960 --> 00:54:59,759
Speaker 1: I'm dumping it into the bowl with the with the

921
00:55:00,040 --> 00:55:02,960
Speaker 1: this or the salsa or whatever. It's going down. I'm

922
00:55:03,000 --> 00:55:05,000
Speaker 1: scooping it out with the spoon. I'm eating it. It's

923
00:55:05,040 --> 00:55:09,080
Speaker 1: coming down. It's going down. That's coming down for real? Alright?

924
00:55:09,440 --> 00:55:11,520
Speaker 1: Well is that gang? This is this is a call

925
00:55:11,560 --> 00:55:16,080
Speaker 1: to arms. Let us know any any food consumption habits

926
00:55:16,120 --> 00:55:20,239
Speaker 1: that you are, you know, ashamed of, that you don't

927
00:55:20,280 --> 00:55:23,000
Speaker 1: want to share with the world you can feel for,

928
00:55:24,400 --> 00:55:27,279
Speaker 1: or that you're not ashamed of. But just you know,

929
00:55:27,680 --> 00:55:31,720
Speaker 1: let's let's find our people, you know, let's let's share

930
00:55:31,760 --> 00:55:37,840
Speaker 1: with the world. John, truly a pleasure having you. Where

931
00:55:37,880 --> 00:55:42,200
Speaker 1: can people find you? Follow you all that good stuff? Well,

932
00:55:42,200 --> 00:55:49,759
Speaker 1: when I'm not stalking my local Crispy Green, you can

933
00:55:49,840 --> 00:55:52,279
Speaker 1: find me on social media by using the hand out

934
00:55:52,320 --> 00:55:54,480
Speaker 1: at Dr John Paul. You have to spell dr d

935
00:55:54,640 --> 00:55:57,520
Speaker 1: O C T R j O N p A U

936
00:55:57,840 --> 00:56:01,600
Speaker 1: L and yeah, that's im. I'm and my website ww

937
00:56:01,680 --> 00:56:05,640
Speaker 1: dot Dr John Paul dot com. And where can they

938
00:56:05,680 --> 00:56:10,200
Speaker 1: hear you one more time. You can hear me every

939
00:56:10,320 --> 00:56:17,360
Speaker 1: Tuesday starting today on the Black Fat Film podcast production.

940
00:56:17,520 --> 00:56:21,960
Speaker 1: But I heart media and it is uh yeah, it's

941
00:56:21,960 --> 00:56:23,920
Speaker 1: gonna gonna be in your ear. So yeah, I'll be

942
00:56:23,960 --> 00:56:26,640
Speaker 1: on the on the podcast there and uh, I'm just

943
00:56:26,680 --> 00:56:28,879
Speaker 1: really exciting. Thank you so much for having me. This

944
00:56:28,920 --> 00:56:32,719
Speaker 1: has truly been a dream come true. Amazing, was so

945
00:56:32,800 --> 00:56:35,200
Speaker 1: wonderful having you. Is there a tweet or some of

946
00:56:35,239 --> 00:56:39,760
Speaker 1: the work of social media that you've been enjoying? Yes,

947
00:56:40,480 --> 00:56:45,320
Speaker 1: so I have some other work. I love it. Account Also,

948
00:56:45,400 --> 00:56:48,640
Speaker 1: a good friend of mine, Risha, tweeted people be like,

949
00:56:49,160 --> 00:56:52,879
Speaker 1: believe in yourself, then be like but not that much.

950
00:56:53,440 --> 00:56:59,439
Speaker 1: I thought that that was just genius. Yeah, so that's

951
00:56:59,520 --> 00:57:01,360
Speaker 1: really the Lee tweet that has really made me go,

952
00:57:01,480 --> 00:57:04,440
Speaker 1: you know what, I see it and I support it.

953
00:57:04,480 --> 00:57:08,600
Speaker 1: I love it. M DJ Daniel. Yes, sir, thank you

954
00:57:08,640 --> 00:57:14,240
Speaker 1: again for all your guest hosting service. Geez, always a pleasure.

955
00:57:14,680 --> 00:57:17,000
Speaker 1: Where can people find you and follow you? And is

956
00:57:17,040 --> 00:57:20,440
Speaker 1: there a tweet that you've been enjoying? You absolutely can,

957
00:57:20,560 --> 00:57:22,280
Speaker 1: and there's two tweets, but you can follow me at

958
00:57:22,360 --> 00:57:25,280
Speaker 1: DJ Underscore Daniel. That's d A n L on all

959
00:57:25,280 --> 00:57:27,440
Speaker 1: the social media's and especially on Twitch, where I like

960
00:57:27,480 --> 00:57:30,240
Speaker 1: to embarrass myself three times a week Wednesdays, Fridays and Sundays.

961
00:57:30,280 --> 00:57:31,960
Speaker 1: I hope you sure do come through. It's a lot

962
00:57:32,000 --> 00:57:34,320
Speaker 1: of fun. We do the streaming thing there. And I

963
00:57:34,320 --> 00:57:37,800
Speaker 1: have two tweets. One is related to the whole Shenzo

964
00:57:37,880 --> 00:57:41,760
Speaker 1: Abe thing where they were accidentally accusing Hideo Kojima, the

965
00:57:42,200 --> 00:57:45,280
Speaker 1: brilliant game designer, of being the one that killed Shenzo Abe.

966
00:57:45,360 --> 00:57:48,320
Speaker 1: And the tweet is Hideo Cogima gets accused of assassinating

967
00:57:48,320 --> 00:57:50,760
Speaker 1: Shenzo Abe and he's probably just watching the four K

968
00:57:50,920 --> 00:57:53,680
Speaker 1: release of Flubber or something, and that is facts that

969
00:57:53,760 --> 00:57:55,800
Speaker 1: dude is a movie nerd and he was for sure

970
00:57:55,840 --> 00:57:58,760
Speaker 1: in the middle of watching Minions Rise of grou and

971
00:57:58,840 --> 00:58:02,760
Speaker 1: was like what anyway. And the second tweet is from

972
00:58:02,880 --> 00:58:05,760
Speaker 1: Vinnie Thomas at v I N then underscore a y y.

973
00:58:05,880 --> 00:58:07,800
Speaker 1: I love Vinnie Thomas. And the tweet is when a

974
00:58:07,880 --> 00:58:11,840
Speaker 1: goldfish has a castle and a treasure chest okay, dynastic wealth.

975
00:58:14,040 --> 00:58:17,520
Speaker 1: I love Vinnie Thomas anyway, Okay, uh, And and that's

976
00:58:17,560 --> 00:58:19,360
Speaker 1: me and I hearpe you hope you have a great

977
00:58:19,400 --> 00:58:21,520
Speaker 1: rest of your day. Uh. You can find me on

978
00:58:21,560 --> 00:58:26,440
Speaker 1: Twitter at Jack Underscore O'Brien, I've been enjoying a couple

979
00:58:26,440 --> 00:58:31,160
Speaker 1: of tweets. Icy hot Patch tweeted, sorry, I can't hang out.

980
00:58:31,240 --> 00:58:33,520
Speaker 1: I have to itch the mosquito bite on my ankle

981
00:58:33,640 --> 00:58:39,200
Speaker 1: until I reach bone. Hannah Joe tweeted, I'm going Elvis

982
00:58:39,240 --> 00:58:41,880
Speaker 1: mode the Prince. He's about to die on my toilet.

983
00:58:42,440 --> 00:58:51,480
Speaker 1: And people are funny. People are funny. And then uh,

984
00:58:51,520 --> 00:58:56,560
Speaker 1: Andrew Nado and A D E A U at the

985
00:58:56,760 --> 00:59:01,280
Speaker 1: Andrew Nato. NATO especially learned how to pronounce this person's

986
00:59:01,360 --> 00:59:04,760
Speaker 1: name because I read their tweets very often. They're very funny. Tweeted.

987
00:59:04,840 --> 00:59:07,400
Speaker 1: People are like, we know less about the deep ocean

988
00:59:07,520 --> 00:59:11,280
Speaker 1: than the moon. Good have you seen what's down there?

989
00:59:11,520 --> 00:59:15,600
Speaker 1: It's terrifying. We should know as little about it as possible.

990
00:59:16,040 --> 00:59:18,480
Speaker 1: The entire reason to go to space is to get

991
00:59:18,600 --> 00:59:22,600
Speaker 1: farther from the ocean, which I think is a good

992
00:59:22,680 --> 00:59:26,000
Speaker 1: buddy A good response to that. You can find us

993
00:59:26,080 --> 00:59:28,720
Speaker 1: on Twitter at daily Zyguy Square, at the Daily zeit

994
00:59:28,760 --> 00:59:31,080
Speaker 1: Geist on Instagram. We have a Facebook fan page and

995
00:59:31,120 --> 00:59:33,400
Speaker 1: a website, Daily zy Guys dot com, where we post

996
00:59:33,440 --> 00:59:38,200
Speaker 1: our episodes and our footnotes. No we link off to

997
00:59:38,200 --> 00:59:41,080
Speaker 1: the information that we talked about in today's episode, as

998
00:59:41,120 --> 00:59:44,040
Speaker 1: well as a song that we think you might enjoy.

999
00:59:44,960 --> 00:59:48,560
Speaker 1: Super producer justin what is a song that you think

1000
00:59:48,640 --> 00:59:51,040
Speaker 1: people might enjoy that we can link off too? On

1001
00:59:51,120 --> 00:59:54,840
Speaker 1: the foot note, al Right, well, we all know that

1002
00:59:55,040 --> 00:59:58,240
Speaker 1: we are fans of Hiatus Coyote at podcast, but I

1003
00:59:58,360 --> 01:00:01,880
Speaker 1: want to recommend a tract from Napalm uh the lead singer.

1004
01:00:01,960 --> 01:00:04,880
Speaker 1: If I eat this Coyote, she's doing like an acoustic

1005
01:00:05,080 --> 01:00:07,360
Speaker 1: RMB thing here, and it's rare. You listen to a

1006
01:00:07,520 --> 01:00:10,720
Speaker 1: song for the background singers and the way she plays

1007
01:00:10,760 --> 01:00:15,600
Speaker 1: off of them, it's it's unbelievably soulful. John. I know

1008
01:00:15,880 --> 01:00:18,800
Speaker 1: you are not a fan of listening to white women,

1009
01:00:18,840 --> 01:00:22,440
Speaker 1: but there are exceptions to every rule. This woman is

1010
01:00:22,560 --> 01:00:26,600
Speaker 1: inspired by soul and North African music, and man, you

1011
01:00:26,720 --> 01:00:30,160
Speaker 1: can tell her background singers are just incredible. And this

1012
01:00:30,280 --> 01:00:33,680
Speaker 1: is a song called cross Fire Backslash So Into You

1013
01:00:34,000 --> 01:00:36,560
Speaker 1: because halfway through the song, the whole band switches to

1014
01:00:37,160 --> 01:00:41,080
Speaker 1: a different track by Toama and featuring Fabulous to Smash

1015
01:00:41,160 --> 01:00:44,280
Speaker 1: Hit uh So Into You, and it's it's an incredible

1016
01:00:44,400 --> 01:00:47,120
Speaker 1: melding of these two tracks. And yeah, you can find

1017
01:00:47,160 --> 01:00:49,760
Speaker 1: this song and the flip notes that's once again Napalm

1018
01:00:49,960 --> 01:00:53,040
Speaker 1: cross Fire Backslash so into you. In fact, I love

1019
01:00:53,120 --> 01:00:55,560
Speaker 1: this song so much I may have recommended it before,

1020
01:00:56,040 --> 01:00:58,000
Speaker 1: and you know, you guys can feel free to let

1021
01:00:58,080 --> 01:00:59,920
Speaker 1: me know in the discord because I won't read it

1022
01:01:00,120 --> 01:01:02,440
Speaker 1: and I love the song anyway, and I can check

1023
01:01:02,480 --> 01:01:04,680
Speaker 1: it out again and enjoy yourself there and you can

1024
01:01:04,720 --> 01:01:06,600
Speaker 1: thank me, all right. Well. The Daily is That You,

1025
01:01:06,640 --> 01:01:08,320
Speaker 1: Guys is a production of my Heart Radio. For more

1026
01:01:08,360 --> 01:01:10,919
Speaker 1: podcasts from my heart Radio, visit the I heart Radio app,

1027
01:01:11,000 --> 01:01:13,400
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1028
01:01:13,840 --> 01:01:15,600
Speaker 1: That is going to do it for us this morning.

1029
01:01:16,000 --> 01:01:18,800
Speaker 1: We're back this afternoon to tell you what is trending

1030
01:01:19,040 --> 01:01:22,320
Speaker 1: and we will talk to you all then. Bye bye

1031
01:01:23,080 --> 01:01:23,360
Speaker 1: bye