1
00:00:03,400 --> 00:00:06,960
Speaker 1: Hi, everybody good.

2
00:00:08,320 --> 00:00:15,320
Speaker 2: It's it's been a while hard to track down. I've

3
00:00:15,360 --> 00:00:19,439
Speaker 2: been doing tracking through the wilderness to try and find you. Yeah,

4
00:00:19,680 --> 00:00:20,720
Speaker 2: like a broken branch.

5
00:00:21,200 --> 00:00:22,000
Speaker 3: That what you have to do?

6
00:00:22,600 --> 00:00:23,160
Speaker 2: Prints.

7
00:00:23,720 --> 00:00:26,480
Speaker 4: Yeah, I've been eating a lot of droppings miles.

8
00:00:26,560 --> 00:00:28,080
Speaker 2: You're not supposed to talk about that.

9
00:00:28,280 --> 00:00:30,159
Speaker 4: I'm like, nope, we're working on that.

10
00:00:30,240 --> 00:00:32,080
Speaker 2: We're doctor Gret. We're working on that with.

11
00:00:32,120 --> 00:00:33,440
Speaker 4: Isn't that how is that a thing? I thought I

12
00:00:33,479 --> 00:00:35,400
Speaker 4: saw a tracker do that in a movie. I don't

13
00:00:35,440 --> 00:00:38,839
Speaker 4: know if that's a real the droppings, No, am I

14
00:00:38,880 --> 00:00:39,480
Speaker 4: putting my own?

15
00:00:39,920 --> 00:00:42,080
Speaker 1: No, they do that. They do that in the movies.

16
00:00:42,120 --> 00:00:45,159
Speaker 1: They do every time. They're like they like they like

17
00:00:45,280 --> 00:00:48,159
Speaker 1: find some scat and then they really get open it

18
00:00:48,240 --> 00:00:50,199
Speaker 1: up to see what's in it. And then they're like

19
00:00:50,400 --> 00:00:53,080
Speaker 1: they're like, oh what you know that is not necessary,

20
00:00:53,159 --> 00:00:55,280
Speaker 1: Like you could open it up and be like, oh,

21
00:00:55,360 --> 00:00:58,240
Speaker 1: what seed is this? Is it this seed or this seed?

22
00:00:58,960 --> 00:01:01,560
Speaker 1: But you wouldn't, like, you know, you just like take

23
00:01:01,600 --> 00:01:04,280
Speaker 1: it to your's figure it.

24
00:01:04,200 --> 00:01:04,800
Speaker 3: Out, you know.

25
00:01:04,959 --> 00:01:07,840
Speaker 4: I mean, it doesn't tell you what direction the animal.

26
00:01:13,520 --> 00:01:14,280
Speaker 2: Due east?

27
00:01:14,520 --> 00:01:16,880
Speaker 4: Yes, no, southeast.

28
00:01:19,360 --> 00:01:32,440
Speaker 2: She's a smart one, clever girl. Clever girl. Hello the

29
00:01:32,480 --> 00:01:36,119
Speaker 2: Internet and Welcome to Season three ninety nine, episode three

30
00:01:36,160 --> 00:01:40,040
Speaker 2: of dialys Gus production Buyheart Radio Almos didn't make it

31
00:01:40,080 --> 00:01:43,039
Speaker 2: through the word season. I think that's the earliest that

32
00:01:43,080 --> 00:01:50,160
Speaker 2: I've had trouble see from the beginning, there's been some hiccups.

33
00:01:50,160 --> 00:01:53,040
Speaker 2: But yeah, yeah, that's true. Yeah, like I've gotten on

34
00:01:53,160 --> 00:01:55,920
Speaker 2: the Hello. Anyways, this is the podcast where we take

35
00:01:55,960 --> 00:02:00,480
Speaker 2: a deep dive into America's shared consciousness. What a fun

36
00:02:00,600 --> 00:02:05,320
Speaker 2: concept for a podcast in the year twenty seventeen. That

37
00:02:05,440 --> 00:02:08,000
Speaker 2: has been nothing but more and more fun ever since.

38
00:02:08,520 --> 00:02:15,120
Speaker 2: America's Shared Consciousness good place. It's Wednesday, July thirtieth, twenty

39
00:02:15,160 --> 00:02:18,200
Speaker 2: twenty five. I got to give a big birthday shout

40
00:02:18,200 --> 00:02:21,960
Speaker 2: out to my mom. Oh birthday Mom.

41
00:02:21,960 --> 00:02:22,919
Speaker 4: Hapvy birthday Mom.

42
00:02:23,120 --> 00:02:28,760
Speaker 2: Happy birthday, Sharon, Sharon, Sharon before right now, you never

43
00:02:29,160 --> 00:02:31,480
Speaker 2: just want to put her name. I've never been like, hey, share,

44
00:02:32,000 --> 00:02:33,880
Speaker 2: you know, the people who call their parents by.

45
00:02:33,800 --> 00:02:35,400
Speaker 4: Their day should go by Share.

46
00:02:35,960 --> 00:02:40,120
Speaker 2: My dad calls are share sometimes yeah, not share, but share.

47
00:02:40,280 --> 00:02:43,200
Speaker 2: But anyways, the best to ever do it? Love you

48
00:02:43,320 --> 00:02:47,720
Speaker 2: lots great cookies, great cookies, the best chocolate chip cookies,

49
00:02:47,919 --> 00:02:52,200
Speaker 2: the cakeests, most wonderful chocolate chip cookies, among many other things.

50
00:02:52,240 --> 00:02:55,600
Speaker 4: Yeah, yeah, well it is July thirtieth. It's also National

51
00:02:55,680 --> 00:02:59,200
Speaker 4: Climb of Mountain Day. It's National Whistleblower Day. Actually shut

52
00:02:59,240 --> 00:03:02,920
Speaker 4: out whistleblowers, uh vitally needed in this era. National Father

53
00:03:03,000 --> 00:03:06,600
Speaker 4: in Law Day. Shout out Paul, shout out Paul bro

54
00:03:07,560 --> 00:03:11,680
Speaker 4: National Cheesecake Day. I thout all those things, cheesecake, whistleblowers,

55
00:03:11,720 --> 00:03:13,440
Speaker 4: climbing mountains, fathers in law.

56
00:03:13,360 --> 00:03:16,480
Speaker 2: Great, great shout out to. I went out, doctor John,

57
00:03:16,800 --> 00:03:21,960
Speaker 2: Doctor John, doctor John. All Right, my name is Jack

58
00:03:22,000 --> 00:03:27,040
Speaker 2: O'Brien aka real Wings move between slices of lasagna. I

59
00:03:27,160 --> 00:03:32,200
Speaker 2: want courtesy of Zack van Nuss, the real Gee's move

60
00:03:32,280 --> 00:03:37,120
Speaker 2: in silence like lasagna from Lil Wayne. Zach Vanus, who says,

61
00:03:37,160 --> 00:03:39,680
Speaker 2: I've been locked out of my Discord account for like

62
00:03:39,760 --> 00:03:43,040
Speaker 2: eight months, but it appears to be back because I

63
00:03:43,080 --> 00:03:46,000
Speaker 2: got this from Discord, also said, but my wife just

64
00:03:46,080 --> 00:03:49,320
Speaker 2: started listening to TDZ, so I want to impress her

65
00:03:49,360 --> 00:03:52,160
Speaker 2: with some aka's and just came in with a with

66
00:03:52,200 --> 00:03:55,640
Speaker 2: a banger right away. You didn't even need that follow

67
00:03:55,720 --> 00:03:58,720
Speaker 2: up line, which was I need this. It was good.

68
00:03:58,960 --> 00:04:01,600
Speaker 2: You didn't need to beg Zach. It was good. And

69
00:04:01,600 --> 00:04:04,960
Speaker 2: we're thrilled, thrilled to have you back in the discord.

70
00:04:05,360 --> 00:04:11,000
Speaker 2: One of our longtime fave listeners, zach Us. I'm thrilled

71
00:04:11,080 --> 00:04:15,200
Speaker 2: to be joined as always by my co host, mister Miles.

72
00:04:14,760 --> 00:04:19,320
Speaker 4: Grat as Miles Miles Gray, Miles Gray, Yikes, we're all.

73
00:04:19,360 --> 00:04:22,479
Speaker 4: I can't even say the basics. My name is Miles Gray,

74
00:04:22,560 --> 00:04:26,960
Speaker 4: a lord of Lancasham the Showgun with No Gun. Okay,

75
00:04:27,080 --> 00:04:30,080
Speaker 4: I am here. Thank you for having me because when guns,

76
00:04:30,120 --> 00:04:31,839
Speaker 4: Miles would have gun problems.

77
00:04:31,960 --> 00:04:35,240
Speaker 2: That's right, Miles. We're thrilled to be joined in our

78
00:04:35,320 --> 00:04:38,240
Speaker 2: third seat by one of our favorite guests and acclaimed

79
00:04:38,279 --> 00:04:44,279
Speaker 2: wildlife ecologist and conservationist who specializes in researching how human

80
00:04:44,400 --> 00:04:48,960
Speaker 2: activity influences the behavior of wild animals. She's a TV

81
00:04:49,080 --> 00:04:51,840
Speaker 2: host and the host of the PBS Nature podcast Going

82
00:04:51,880 --> 00:04:55,240
Speaker 2: Wild with Doctor ray Win Grant, which makes sense because

83
00:04:55,720 --> 00:04:57,200
Speaker 2: she is doctor ray.

84
00:04:57,040 --> 00:05:00,520
Speaker 4: Win Grat, Doctor Rey.

85
00:05:00,760 --> 00:05:00,960
Speaker 5: Yeah.

86
00:05:02,040 --> 00:05:05,240
Speaker 1: Thanks on the show. This is like my third time,

87
00:05:05,320 --> 00:05:10,000
Speaker 1: I think time regular. You guys got to start doing

88
00:05:10,040 --> 00:05:11,359
Speaker 1: the thing that they do on SNL.

89
00:05:11,600 --> 00:05:12,880
Speaker 3: You know, like a.

90
00:05:12,839 --> 00:05:15,479
Speaker 2: Cluck you get a jacket of the fifth time, Yeah,

91
00:05:15,680 --> 00:05:19,240
Speaker 2: and our jacket so on SNL the jacket is like

92
00:05:19,279 --> 00:05:21,680
Speaker 2: every time they put it on, the hosts are like,

93
00:05:21,680 --> 00:05:23,479
Speaker 2: oh my god, this is so nice. When you put

94
00:05:23,560 --> 00:05:25,600
Speaker 2: your jacket on, you're like, oh my god, this fell apart.

95
00:05:26,920 --> 00:05:27,640
Speaker 3: Is this fashion?

96
00:05:28,480 --> 00:05:35,320
Speaker 2: Yeah? Actually, we aspire to fashion the arms fall off

97
00:05:35,320 --> 00:05:35,680
Speaker 2: of may.

98
00:05:35,720 --> 00:05:41,760
Speaker 4: Somehow faster fashion than fashion light speed. It's actually it's

99
00:05:41,800 --> 00:05:44,440
Speaker 4: paper towels we've taped together and jacket.

100
00:05:44,480 --> 00:05:48,680
Speaker 2: It operates on the fast food side of fashion. Fast.

101
00:05:49,000 --> 00:05:51,479
Speaker 2: They're like, yeah, we'll have you a jacket in like

102
00:05:51,880 --> 00:05:56,159
Speaker 2: five minutes. Way too long have you been?

103
00:05:57,200 --> 00:05:59,560
Speaker 1: Oh my gosh, Well, there's something that I can't talk

104
00:05:59,560 --> 00:06:02,599
Speaker 1: about you, but I can't talk about it the next time.

105
00:06:02,640 --> 00:06:03,320
Speaker 3: I come back.

106
00:06:05,720 --> 00:06:12,400
Speaker 1: Sick actually, and that is sad. But the like the

107
00:06:12,440 --> 00:06:15,880
Speaker 1: reason the adventure that I was on that got me sick,

108
00:06:16,000 --> 00:06:18,240
Speaker 1: and I will I will recover, just give me a

109
00:06:18,279 --> 00:06:20,720
Speaker 1: couple of weeks. But the adventure I was on that

110
00:06:20,800 --> 00:06:23,960
Speaker 1: got me sick is amazing, But I can't talk about

111
00:06:23,960 --> 00:06:24,240
Speaker 1: it yet.

112
00:06:24,320 --> 00:06:27,240
Speaker 4: Can you say where you went? Wow?

113
00:06:27,440 --> 00:06:28,839
Speaker 3: It's far into way.

114
00:06:29,600 --> 00:06:30,680
Speaker 4: So what are we talking?

115
00:06:30,800 --> 00:06:30,880
Speaker 2: Like?

116
00:06:31,480 --> 00:06:32,560
Speaker 4: Reading in California?

117
00:06:35,240 --> 00:06:36,719
Speaker 1: I was actually, how about this? I was in a

118
00:06:36,880 --> 00:06:38,080
Speaker 1: US territory.

119
00:06:38,240 --> 00:06:40,800
Speaker 4: Okay, okay, okay, we'll leave it there. We'll leave it there.

120
00:06:40,880 --> 00:06:43,640
Speaker 2: Yeah, I will not. I'm going to be guessing and

121
00:06:43,680 --> 00:06:47,320
Speaker 2: trying to like prod you for answers the whole thing.

122
00:06:47,480 --> 00:06:48,599
Speaker 2: I want to solve.

123
00:06:48,320 --> 00:06:52,240
Speaker 4: This compromise, this project Jack with your questions.

124
00:06:52,680 --> 00:06:54,640
Speaker 2: Uh well, doctor Graham, We're thrilled to have you back.

125
00:06:54,680 --> 00:06:56,640
Speaker 2: We're going to get to know you a little bit

126
00:06:56,680 --> 00:06:58,880
Speaker 2: better in a moment. First, we are going to tell

127
00:06:58,920 --> 00:07:01,080
Speaker 2: the listeners a couple of things that we're talking about

128
00:07:01,080 --> 00:07:05,120
Speaker 2: on today's episode. We're gonna look at some of the

129
00:07:05,240 --> 00:07:08,720
Speaker 2: changes that are happening when it comes to the United

130
00:07:08,720 --> 00:07:12,800
Speaker 2: States and its relationship to science, and ask is science

131
00:07:12,880 --> 00:07:15,880
Speaker 2: going to be okay? And does it even matter? I mean,

132
00:07:15,960 --> 00:07:18,280
Speaker 2: do we really need this science stuff?

133
00:07:18,520 --> 00:07:18,840
Speaker 3: Go on?

134
00:07:19,200 --> 00:07:25,040
Speaker 2: Right, we'll talk about that, some cuts to NASA, which

135
00:07:25,200 --> 00:07:29,160
Speaker 2: again who needs it? Well, we'll talk about the cheating scandal,

136
00:07:29,200 --> 00:07:32,720
Speaker 2: the latest on the on the cold Play kiss cam

137
00:07:32,920 --> 00:07:37,320
Speaker 2: cheating scandal, and how it relates to privacy law. We

138
00:07:37,360 --> 00:07:41,960
Speaker 2: will take a very limited study and just go running

139
00:07:42,000 --> 00:07:45,360
Speaker 2: off with it with the conclusions, and then doctor Grant

140
00:07:45,360 --> 00:07:50,600
Speaker 2: can tell us if we're making scientifically sound arguments arguments

141
00:07:50,600 --> 00:07:52,720
Speaker 2: based on it. I might even talk about the box

142
00:07:52,760 --> 00:07:57,720
Speaker 2: office Happy Gilmore two plenty more but first, doctor Grant,

143
00:07:57,760 --> 00:08:00,640
Speaker 2: we do like to ask our guest, what is something

144
00:08:00,680 --> 00:08:01,880
Speaker 2: from your search history?

145
00:08:02,480 --> 00:08:06,200
Speaker 1: Oh yeah, okay, So I took one second to prepare

146
00:08:06,280 --> 00:08:08,920
Speaker 1: for this question, but I went into my Google search

147
00:08:09,040 --> 00:08:11,480
Speaker 1: history on my phone rather than my computer, because I've

148
00:08:11,480 --> 00:08:13,960
Speaker 1: been on my phone a lot more lately, and.

149
00:08:14,360 --> 00:08:15,480
Speaker 3: I thought this was interesting.

150
00:08:15,520 --> 00:08:19,840
Speaker 1: So the like, the thing that I've googled more times

151
00:08:20,120 --> 00:08:22,760
Speaker 1: than anything else in the past two months has been

152
00:08:23,360 --> 00:08:27,360
Speaker 1: local time California. And that's because I have spent the

153
00:08:27,440 --> 00:08:32,640
Speaker 1: last three months almost entirely away, almost entirely away from home,

154
00:08:32,679 --> 00:08:43,559
Speaker 1: traveling across four continent and like Australia, Europe, different parts

155
00:08:43,600 --> 00:08:46,520
Speaker 1: of North America. Oh no, three continents, three continents, and

156
00:08:47,240 --> 00:08:49,520
Speaker 1: you know, I have a little family at home, and

157
00:08:49,600 --> 00:08:52,040
Speaker 1: so usually when I do all this traveling, you know,

158
00:08:52,160 --> 00:08:56,080
Speaker 1: for wildlife work, I like don't call home a lot,

159
00:08:56,120 --> 00:08:58,160
Speaker 1: like I really kind of we have this understanding, like

160
00:08:58,320 --> 00:09:01,000
Speaker 1: I am like I don't have celsic like I will

161
00:09:01,000 --> 00:09:05,440
Speaker 1: see you and sink in when I'm back. Mommies, ye

162
00:09:05,440 --> 00:09:07,640
Speaker 1: have mommy's in the wilderness. It's like my kids since

163
00:09:07,800 --> 00:09:09,520
Speaker 1: the day both of them are born. So it's been

164
00:09:09,520 --> 00:09:11,960
Speaker 1: more than a decade. This has been the norm and

165
00:09:12,000 --> 00:09:15,400
Speaker 1: it works for our family. But because this was particularly

166
00:09:15,440 --> 00:09:18,839
Speaker 1: a long time away, I was finding myself like constantly

167
00:09:18,920 --> 00:09:21,120
Speaker 1: like checking, like what time is it at home? And

168
00:09:21,240 --> 00:09:23,520
Speaker 1: like can I send a text to my husband because

169
00:09:23,559 --> 00:09:25,839
Speaker 1: he'll wake up? Like if I text him, he will

170
00:09:25,840 --> 00:09:27,880
Speaker 1: wake up and look at it, or if I call him,

171
00:09:27,880 --> 00:09:30,400
Speaker 1: he will wake up. Right, So, like I was constantly

172
00:09:30,400 --> 00:09:32,800
Speaker 1: being like, what you know, what what time is it

173
00:09:32,880 --> 00:09:36,360
Speaker 1: at home? Local time California by Google search history?

174
00:09:36,679 --> 00:09:38,440
Speaker 2: And you care if you wake him up or not?

175
00:09:38,960 --> 00:09:40,120
Speaker 2: That's that's kind I do.

176
00:09:41,760 --> 00:09:44,160
Speaker 1: Yes, he's working on being a good sleeper.

177
00:09:44,679 --> 00:09:49,920
Speaker 4: Hell, like my very kind of you when you're away,

178
00:09:50,000 --> 00:09:52,439
Speaker 4: because like do you always bring your kids back a gift?

179
00:09:52,520 --> 00:09:54,760
Speaker 4: But when you're doing like when you're in the wilderness,

180
00:09:54,800 --> 00:09:58,240
Speaker 4: do you're like this is a really cool rass beardropping?

181
00:10:00,200 --> 00:10:02,760
Speaker 1: You know, Like people ask me this question a lot.

182
00:10:02,760 --> 00:10:04,880
Speaker 1: They kind of ask like, oh, do you do you

183
00:10:05,000 --> 00:10:07,120
Speaker 1: bring your kids? You know when you travel because you

184
00:10:07,160 --> 00:10:09,280
Speaker 1: go to some cool places? Do you do you bring

185
00:10:09,280 --> 00:10:13,040
Speaker 1: them a souvenir? I don't bring them to where I go,

186
00:10:13,440 --> 00:10:16,440
Speaker 1: and I don't bring them back anything.

187
00:10:16,760 --> 00:10:17,959
Speaker 4: Right from the wilder?

188
00:10:18,040 --> 00:10:19,920
Speaker 1: Okay, that's right, because you like I don't like I've

189
00:10:20,000 --> 00:10:23,160
Speaker 1: kind of normalized, like I have returned. So part of

190
00:10:23,160 --> 00:10:25,960
Speaker 1: it is like I travel too much to always bring

191
00:10:26,000 --> 00:10:28,640
Speaker 1: something back, but also like we're trying not to have

192
00:10:28,720 --> 00:10:31,680
Speaker 1: a lot of stuff, like because they will appreciate it,

193
00:10:31,720 --> 00:10:35,000
Speaker 1: but it could end up just being stuff. And I'm

194
00:10:35,120 --> 00:10:38,400
Speaker 1: very fortunate, you guys. I'm so fortunate. I travel mostly

195
00:10:38,480 --> 00:10:41,360
Speaker 1: right now for my television show, which is called Mutual

196
00:10:41,360 --> 00:10:45,360
Speaker 1: of Omaha's Wild Kingdom, and like they get to watch

197
00:10:45,440 --> 00:10:49,120
Speaker 1: the show, you know, so it's also like I travel,

198
00:10:49,200 --> 00:10:52,920
Speaker 1: you know, like, oh, Mommy's in Australia and they miss me.

199
00:10:53,320 --> 00:10:55,880
Speaker 1: But it's like, you know, a couple of months later,

200
00:10:55,960 --> 00:10:58,800
Speaker 1: they are watching the show where Mommy was in Australia,

201
00:10:58,840 --> 00:11:00,800
Speaker 1: and so it's like it really kind next them to

202
00:11:01,040 --> 00:11:02,839
Speaker 1: like why I was gone, what I was doing. And

203
00:11:03,240 --> 00:11:05,560
Speaker 1: I'm very fortunate because not a lot of parents who

204
00:11:05,640 --> 00:11:06,720
Speaker 1: travel get that.

205
00:11:07,280 --> 00:11:09,680
Speaker 2: Yeah right, I don't get to play this podcast for

206
00:11:09,800 --> 00:11:12,800
Speaker 2: my kids. Unfortunately, afterwards, before I go, you want to

207
00:11:12,840 --> 00:11:13,400
Speaker 2: know what I.

208
00:11:13,280 --> 00:11:13,640
Speaker 5: Was up to.

209
00:11:15,400 --> 00:11:16,800
Speaker 2: You want to learn some new words?

210
00:11:17,360 --> 00:11:18,560
Speaker 4: Yeah that sounds great.

211
00:11:19,520 --> 00:11:21,920
Speaker 2: What is something you think is underrated?

212
00:11:22,720 --> 00:11:25,720
Speaker 1: Well, okay, I just remember the last time I was

213
00:11:25,760 --> 00:11:28,679
Speaker 1: on this podcast. I thought I had a really good

214
00:11:28,800 --> 00:11:31,560
Speaker 1: answer to what was underrated, and I like, I stand

215
00:11:31,559 --> 00:11:34,280
Speaker 1: by it. I'm going to use it again. So I

216
00:11:34,360 --> 00:11:39,120
Speaker 1: really think it was My answer was sweet potatoes because

217
00:11:39,160 --> 00:11:42,040
Speaker 1: I was like, when I eat a sweet potato, which

218
00:11:42,080 --> 00:11:45,760
Speaker 1: is frequently, I'm always like, why aren't people talking about this?

219
00:11:45,920 --> 00:11:49,160
Speaker 3: Like this is so delicious.

220
00:11:49,080 --> 00:11:54,080
Speaker 1: It's like compliments any meal. It's super nutritious. It's really

221
00:11:54,120 --> 00:11:56,680
Speaker 1: filling you fill it with better, Like, why aren't people

222
00:11:56,679 --> 00:11:58,120
Speaker 1: talking about sweet potatoes?

223
00:11:58,160 --> 00:12:00,640
Speaker 4: How are you enjoying it? You just I'm picturing you

224
00:12:00,760 --> 00:12:03,559
Speaker 4: just like steaming, like you got one cooked and you're just.

225
00:12:03,520 --> 00:12:05,280
Speaker 1: Biting you bake it. So here's the thing you have

226
00:12:05,320 --> 00:12:08,880
Speaker 1: to kind of for me. I think you overcook them.

227
00:12:09,200 --> 00:12:11,240
Speaker 1: So some people are like, oh, bake it at you know,

228
00:12:11,920 --> 00:12:14,160
Speaker 1: three p fifty for an hour. I'm like, bake it

229
00:12:14,240 --> 00:12:17,680
Speaker 1: at three eighty five for an hour and a half. Oh,

230
00:12:17,760 --> 00:12:20,560
Speaker 1: I am telling you the potato.

231
00:12:20,840 --> 00:12:21,080
Speaker 3: Yeah.

232
00:12:21,080 --> 00:12:23,199
Speaker 1: And then I my husband and I like we shop

233
00:12:23,200 --> 00:12:26,040
Speaker 1: at Trader Joe's a lot. Shout out Trader Joe's, and they,

234
00:12:26,320 --> 00:12:29,439
Speaker 1: at least in California, they have Japanese sweet potatoes, which

235
00:12:29,559 --> 00:12:31,800
Speaker 1: you know are white on the inside. I think they're

236
00:12:31,840 --> 00:12:34,360
Speaker 1: actually a little bit sweeter. Yeah, they have like a

237
00:12:34,400 --> 00:12:37,040
Speaker 1: reddish skin and white on the inside, and so like,

238
00:12:37,480 --> 00:12:39,880
Speaker 1: overcook those a little bit, you'll be in heaven. So

239
00:12:39,920 --> 00:12:42,400
Speaker 1: I really think sweet potatoes are underrated.

240
00:12:43,040 --> 00:12:44,360
Speaker 2: They get that like syrupy.

241
00:12:45,080 --> 00:12:48,319
Speaker 1: Yeah, they cause like you know, the seventy cents and

242
00:12:48,360 --> 00:12:49,480
Speaker 1: they Yeah, they're just great.

243
00:12:49,520 --> 00:12:50,000
Speaker 3: They're just great.

244
00:12:50,040 --> 00:12:50,920
Speaker 1: Everyone eat them.

245
00:12:51,160 --> 00:12:53,040
Speaker 2: I appreciate it, by the way, the fact that you

246
00:12:53,120 --> 00:12:56,760
Speaker 2: reuse that because you're an ecologically minded person who's committed

247
00:12:56,760 --> 00:12:57,439
Speaker 2: to recycling.

248
00:12:58,320 --> 00:13:03,240
Speaker 3: Yes, that makes sense. Reuse, recycled, reduce.

249
00:13:03,240 --> 00:13:07,240
Speaker 4: Your answers, to reduce the hot takes on the internet,

250
00:13:07,640 --> 00:13:08,560
Speaker 4: there's plenty.

251
00:13:09,120 --> 00:13:11,520
Speaker 2: What is something that you think is overrated?

252
00:13:11,840 --> 00:13:14,160
Speaker 1: I mean, I'm obviously like on a food kick here,

253
00:13:14,400 --> 00:13:20,840
Speaker 1: but you know, I personally think getting a macha latte

254
00:13:21,240 --> 00:13:25,800
Speaker 1: at a coffee shop or a macha shop is a

255
00:13:25,800 --> 00:13:28,280
Speaker 1: little overrated. Not to say I won't do it, because

256
00:13:28,320 --> 00:13:32,120
Speaker 1: I will do it, But listen, the macha you can

257
00:13:32,240 --> 00:13:36,240
Speaker 1: make at home if you get yourself a good macha,

258
00:13:36,320 --> 00:13:39,240
Speaker 1: like a good quality macha powder. I just I prefer

259
00:13:39,280 --> 00:13:40,800
Speaker 1: the macha that I make at home. It could be

260
00:13:40,840 --> 00:13:43,080
Speaker 1: a hot latte, a cold latte, whatever, Like you don't

261
00:13:43,080 --> 00:13:46,280
Speaker 1: have the cute little like instagrammable experience as much, sure,

262
00:13:46,320 --> 00:13:50,160
Speaker 1: but for me, the quality that I make is more

263
00:13:50,200 --> 00:13:52,360
Speaker 1: consistent and better. And I think that like this whole

264
00:13:52,400 --> 00:13:55,960
Speaker 1: like social media aesthetic of like having your cute little

265
00:13:56,000 --> 00:13:57,640
Speaker 1: macha is beautiful.

266
00:13:57,720 --> 00:13:58,760
Speaker 3: It looks beautiful.

267
00:13:59,240 --> 00:14:01,079
Speaker 1: But I just want to say, just to anyone out

268
00:14:01,120 --> 00:14:04,800
Speaker 1: here who's like getting a macha, a six, seven, eight

269
00:14:04,800 --> 00:14:08,240
Speaker 1: dollar macha every day, like, just try making it yourself,

270
00:14:08,480 --> 00:14:11,160
Speaker 1: because I bet you'll be really impressed.

271
00:14:11,440 --> 00:14:14,400
Speaker 2: Nothing looks better than a macha. Macha is the best

272
00:14:14,440 --> 00:14:17,280
Speaker 2: looking drink. I feel like it looks so good. Like

273
00:14:17,360 --> 00:14:19,920
Speaker 2: I feel like that might be why some people are

274
00:14:20,360 --> 00:14:24,400
Speaker 2: ordering them out, because they're performatively drinking something that is

275
00:14:24,440 --> 00:14:25,360
Speaker 2: the coolest color.

276
00:14:25,720 --> 00:14:26,680
Speaker 3: I mean, it's so cool.

277
00:14:26,680 --> 00:14:26,960
Speaker 2: I had.

278
00:14:26,960 --> 00:14:28,560
Speaker 3: I have to say I had my first macha.

279
00:14:29,200 --> 00:14:32,120
Speaker 1: I was fortunate to travel to Japan in two thousand

280
00:14:32,120 --> 00:14:35,080
Speaker 1: and nine and so like I, you know, I hadn't

281
00:14:35,080 --> 00:14:38,520
Speaker 1: had one before, and I just before tea ceremony, you know,

282
00:14:38,600 --> 00:14:40,680
Speaker 1: and like had a macha. Was like this is cool.

283
00:14:40,680 --> 00:14:42,440
Speaker 1: And then they had this macha ice cream and all

284
00:14:42,440 --> 00:14:44,520
Speaker 1: the stuff that they have here in the States today.

285
00:14:45,080 --> 00:14:48,000
Speaker 1: I got to experience in Japan, and I remember being like, man,

286
00:14:48,560 --> 00:14:52,800
Speaker 1: will I ever have this again? And I can only

287
00:14:52,880 --> 00:14:54,480
Speaker 1: hope and then boom here we are.

288
00:14:54,680 --> 00:14:58,080
Speaker 4: Yeah, a few listeners on Instagram DMV like posts from

289
00:14:58,080 --> 00:15:00,320
Speaker 4: like this company that like makes macha and like these

290
00:15:00,320 --> 00:15:03,200
Speaker 4: two white women who were like when we went to Japan,

291
00:15:03,440 --> 00:15:06,560
Speaker 4: we realized it's like, oh, I'm oh yeah, y'all, y'all

292
00:15:06,600 --> 00:15:11,280
Speaker 4: discovered some now okay, okay, we left discovered in Japan

293
00:15:11,520 --> 00:15:14,560
Speaker 4: my tip as a Japanese person by buy from a

294
00:15:14,640 --> 00:15:17,440
Speaker 4: Japanese grower provider, and you know, just you can cut

295
00:15:17,480 --> 00:15:21,160
Speaker 4: out the middleman who is doing the I discovered maya

296
00:15:21,280 --> 00:15:24,560
Speaker 4: company on Instagram there that quality is going to be

297
00:15:24,600 --> 00:15:26,680
Speaker 4: straight up ass because it's going to be sold to

298
00:15:26,680 --> 00:15:29,080
Speaker 4: people who are just again like like the look of

299
00:15:29,120 --> 00:15:33,440
Speaker 4: like I'm drinking green drink. But yeah, it's right, Like I.

300
00:15:33,440 --> 00:15:35,080
Speaker 1: Mean, you can even go like I did this, Like

301
00:15:35,120 --> 00:15:37,600
Speaker 1: I went on Amazon and looked for like the reviews

302
00:15:37,640 --> 00:15:39,800
Speaker 1: of like the highest quality macha and then went to

303
00:15:40,440 --> 00:15:42,400
Speaker 1: that brand's.

304
00:15:41,920 --> 00:15:45,080
Speaker 4: Website, right, yeah, order like it's not that hard. No, no,

305
00:15:45,120 --> 00:15:47,160
Speaker 4: it's not. And typically this is the thing I say, like,

306
00:15:47,200 --> 00:15:49,680
Speaker 4: well sometimes cheaper on Amazon. I bet you you go

307
00:15:49,720 --> 00:15:51,360
Speaker 4: to the website of the thing you want to buy,

308
00:15:51,400 --> 00:15:52,920
Speaker 4: They're going to be like, hey, you want fifteen percent

309
00:15:52,960 --> 00:15:55,880
Speaker 4: off right now, like the second you click on the website,

310
00:15:55,920 --> 00:15:57,360
Speaker 4: so you know leave.

311
00:15:57,920 --> 00:16:01,000
Speaker 2: I got some really cheap macha at a Creating grocery

312
00:16:01,040 --> 00:16:03,320
Speaker 2: store near my house. It was with Sabby. You guys

313
00:16:03,320 --> 00:16:06,120
Speaker 2: have to be careful. I'm telling you that it's nasty

314
00:16:06,200 --> 00:16:06,600
Speaker 2: out there.

315
00:16:07,120 --> 00:16:11,400
Speaker 4: It was in a tube. I should have known, how

316
00:16:11,520 --> 00:16:11,880
Speaker 4: are you?

317
00:16:12,000 --> 00:16:18,600
Speaker 2: Because so for my homemade macha, I needed to find

318
00:16:18,640 --> 00:16:21,720
Speaker 2: the right mixing implement because I got like the macha

319
00:16:21,760 --> 00:16:25,400
Speaker 2: set with the little like proper whisk wooden whisk. Yeah,

320
00:16:25,440 --> 00:16:28,080
Speaker 2: and I was not skilled enough with the whisk to

321
00:16:28,200 --> 00:16:31,600
Speaker 2: like it just wasn't quite as good as it is

322
00:16:31,840 --> 00:16:36,080
Speaker 2: like elsewhere. But then I got the handheld mixer, the

323
00:16:36,120 --> 00:16:38,080
Speaker 2: little like thing we can press the thing on and

324
00:16:38,120 --> 00:16:40,760
Speaker 2: it like spins really fast. It's like I think it's

325
00:16:40,760 --> 00:16:44,600
Speaker 2: called a milk frothing. And I totally made it like

326
00:16:44,680 --> 00:16:47,400
Speaker 2: so it was indistinguishable from the macha that you get

327
00:16:47,400 --> 00:16:49,120
Speaker 2: at the at the store. Yeah.

328
00:16:49,200 --> 00:16:51,640
Speaker 1: Yeah, I have to say I have all of those things,

329
00:16:52,000 --> 00:16:56,680
Speaker 1: and admittedly, like what I do most of the time

330
00:16:56,720 --> 00:16:58,880
Speaker 1: when I'm in a hurry, which is not this is

331
00:16:58,920 --> 00:17:01,720
Speaker 1: not authentic, Okay, so I am not doing an authentic

332
00:17:01,840 --> 00:17:05,760
Speaker 1: method is I throw it in the blender so I

333
00:17:05,800 --> 00:17:07,560
Speaker 1: do like I heat up my milk because I do

334
00:17:07,680 --> 00:17:08,880
Speaker 1: like the milk also be hot.

335
00:17:08,920 --> 00:17:14,320
Speaker 3: But it's like it's in the blender and.

336
00:17:14,200 --> 00:17:18,520
Speaker 2: I blend it going full of and.

337
00:17:18,680 --> 00:17:20,959
Speaker 1: I add ginger. So like that's again this is not

338
00:17:21,040 --> 00:17:23,760
Speaker 1: like like I did not experience this in Japan. This

339
00:17:23,840 --> 00:17:28,119
Speaker 1: is my African American tape on macha.

340
00:17:28,200 --> 00:17:29,120
Speaker 4: I love it, but.

341
00:17:29,160 --> 00:17:32,160
Speaker 1: Like I add a little bit of either like powdered ginger.

342
00:17:32,359 --> 00:17:34,280
Speaker 1: Like again, Trader Joe's has like a really good powdered

343
00:17:34,320 --> 00:17:38,520
Speaker 1: ginger or sometimes like a little frozen ginger cube, you know,

344
00:17:38,720 --> 00:17:40,080
Speaker 1: and I just I don't know. I like it in

345
00:17:40,160 --> 00:17:42,000
Speaker 1: all of my tea, not just my macha, but I

346
00:17:42,200 --> 00:17:43,800
Speaker 1: am a big tea drinker and I just like to

347
00:17:43,800 --> 00:17:46,159
Speaker 1: add ginger and everything. So I like that's why the

348
00:17:46,200 --> 00:17:48,639
Speaker 1: blender comes in handy, right, because it like blends it

349
00:17:48,680 --> 00:17:51,639
Speaker 1: all up. And but that like you know, everyone I

350
00:17:51,960 --> 00:17:53,520
Speaker 1: would start with a whisk.

351
00:17:54,320 --> 00:17:58,160
Speaker 4: Well, I mean, I grabbed my face in horror in jest,

352
00:17:58,240 --> 00:18:00,840
Speaker 4: but I'm also a look, I'm black and I'm also American.

353
00:18:00,880 --> 00:18:03,800
Speaker 4: I also look for ways to do short cuts because

354
00:18:03,880 --> 00:18:06,920
Speaker 4: the process right with the whisk, I understand like as

355
00:18:06,920 --> 00:18:09,320
Speaker 4: a process as a Japanese person, it's like this is

356
00:18:09,359 --> 00:18:13,960
Speaker 4: part yeah, you're aerating the macha like with it, but

357
00:18:14,240 --> 00:18:16,199
Speaker 4: also part of me does think of like, I mean,

358
00:18:16,640 --> 00:18:18,200
Speaker 4: what if I'm just trying to get this shit quick.

359
00:18:18,720 --> 00:18:20,359
Speaker 1: Yeah, but I would never like if I had like

360
00:18:20,400 --> 00:18:22,480
Speaker 1: a cooking show or something, I would never be like

361
00:18:24,119 --> 00:18:26,560
Speaker 1: making mancha throw it in the like.

362
00:18:26,359 --> 00:18:27,359
Speaker 3: That's not that.

363
00:18:29,760 --> 00:18:30,000
Speaker 5: Dude.

364
00:18:30,040 --> 00:18:31,720
Speaker 4: I went to a coffee shop where people had the

365
00:18:32,119 --> 00:18:34,280
Speaker 4: bamboo whisk on a fucking power drill.

366
00:18:34,880 --> 00:18:38,640
Speaker 2: Yeah, yeah, like the like the what I'm doing?

367
00:18:38,840 --> 00:18:41,080
Speaker 4: Yeah, but I was like, yo, this is a like

368
00:18:41,160 --> 00:18:43,640
Speaker 4: it felt like the most American things, like I'm gonna

369
00:18:43,640 --> 00:18:45,920
Speaker 4: put this bamboo whisk on a power drill.

370
00:18:46,000 --> 00:18:47,920
Speaker 2: Am I going to Blacken Decker this ship up?

371
00:18:48,880 --> 00:18:51,080
Speaker 1: Like should we even be calling it macha or should

372
00:18:51,119 --> 00:18:52,160
Speaker 1: we be calling it like.

373
00:18:52,359 --> 00:18:53,840
Speaker 3: Green drink green tea?

374
00:18:54,200 --> 00:18:59,600
Speaker 4: Yeah it's green tea at that yeah, green tea. Yeah,

375
00:18:59,640 --> 00:19:01,439
Speaker 4: eto cooler heih siecto cooler.

376
00:19:01,640 --> 00:19:03,800
Speaker 2: I do a little shot of hot water and then

377
00:19:03,840 --> 00:19:05,920
Speaker 2: spoon the powder on top of the shot of hot

378
00:19:05,960 --> 00:19:07,840
Speaker 2: water and then just like mix it in my mouth.

379
00:19:08,080 --> 00:19:11,600
Speaker 2: As I'm running out. Is that the traditional? Yeah? Yeah?

380
00:19:11,960 --> 00:19:15,600
Speaker 2: And then I put the frother in and electric toothbresh

381
00:19:15,600 --> 00:19:17,800
Speaker 2: within just put on my electric toothbrush.

382
00:19:17,880 --> 00:19:19,120
Speaker 4: Just it does it all to one?

383
00:19:19,200 --> 00:19:19,360
Speaker 1: Yeah?

384
00:19:19,440 --> 00:19:19,640
Speaker 2: Yeah.

385
00:19:19,720 --> 00:19:22,320
Speaker 1: I will say though, my husband has gotten into recently

386
00:19:22,760 --> 00:19:26,640
Speaker 1: instinct coffee, which like he's like a coffee guy, right,

387
00:19:26,680 --> 00:19:29,040
Speaker 1: Like he like, I'm a macha drinker, it's my preference,

388
00:19:29,040 --> 00:19:31,679
Speaker 1: but like he is super into coffee. And he went

389
00:19:31,720 --> 00:19:34,159
Speaker 1: to a friend's house recently for a brunch and he

390
00:19:34,280 --> 00:19:36,800
Speaker 1: was like, their coffee is so good, Like I'm going

391
00:19:36,840 --> 00:19:39,280
Speaker 1: to ask them what it is, and it's it's from

392
00:19:39,280 --> 00:19:42,360
Speaker 1: this like specialized grocery store, but it's their instinct coffee

393
00:19:42,359 --> 00:19:45,600
Speaker 1: at this specialized grocery store. And so he's like, screw it,

394
00:19:45,720 --> 00:19:48,120
Speaker 1: like I'm going to do that now. And so he

395
00:19:48,240 --> 00:19:51,119
Speaker 1: also uses the blender, right, so he's like, you know,

396
00:19:51,280 --> 00:19:53,720
Speaker 1: hot water, the instant coffee. He might add a little

397
00:19:53,880 --> 00:19:56,520
Speaker 1: something good, you know. And so we're both like blending

398
00:19:56,680 --> 00:20:00,960
Speaker 1: our non usually blended drinks lately. So it's just this

399
00:20:01,040 --> 00:20:02,840
Speaker 1: whole thing is going on in my house.

400
00:20:03,320 --> 00:20:05,520
Speaker 2: Same same blender, I feel.

401
00:20:05,320 --> 00:20:06,360
Speaker 3: Like, same blender.

402
00:20:06,640 --> 00:20:08,439
Speaker 2: Wow, Yeah, I.

403
00:20:08,520 --> 00:20:11,600
Speaker 4: Just got to power wash that thing up. Are you

404
00:20:11,600 --> 00:20:13,000
Speaker 4: worried about the flavors.

405
00:20:13,440 --> 00:20:17,000
Speaker 2: Worried about those flavors contaminating one of the coffee really sticks?

406
00:20:17,119 --> 00:20:19,479
Speaker 3: Yeah, to go first, definitely.

407
00:20:19,520 --> 00:20:22,000
Speaker 2: Yeah, that I'll do my money.

408
00:20:22,440 --> 00:20:24,520
Speaker 4: Yeah, blend your coffee afterwards, your fare.

409
00:20:25,200 --> 00:20:27,840
Speaker 2: Yeah, all right, let's uh, let's take a quick break.

410
00:20:27,880 --> 00:20:30,280
Speaker 2: We'll come back. We'll check in on the world of science,

411
00:20:30,280 --> 00:20:32,560
Speaker 2: which I haven't checked in on since the last time

412
00:20:32,600 --> 00:20:34,960
Speaker 2: you were here, doctor Grant. I have to assume things

413
00:20:35,000 --> 00:20:39,520
Speaker 2: are going well. Just a steady march upward, up into

414
00:20:39,560 --> 00:20:42,480
Speaker 2: the right. We'll take a quick break and we'll be

415
00:20:42,600 --> 00:20:57,719
Speaker 2: right back. And we're back, and so are the Dark Ages.

416
00:20:58,119 --> 00:21:02,199
Speaker 4: Yep, yeah, I mean, broadly speaking, I guess we've entered

417
00:21:02,240 --> 00:21:06,920
Speaker 4: the reverse Enlightenment Enlightenment in the US sort.

418
00:21:06,680 --> 00:21:08,120
Speaker 2: Of like a skateboard trick.

419
00:21:08,600 --> 00:21:11,520
Speaker 4: Dude, check this out, dude, reverse faki, reverse.

420
00:21:11,200 --> 00:21:13,240
Speaker 2: Enlightenable faky, reverse enlightenment.

421
00:21:14,560 --> 00:21:17,400
Speaker 4: It's like the conservative movement is now that they're empowered,

422
00:21:17,480 --> 00:21:22,040
Speaker 4: just saying like nuh uh to well established science. And now,

423
00:21:22,240 --> 00:21:24,040
Speaker 4: you know, I feel like with Project twenty twenty five

424
00:21:24,080 --> 00:21:26,439
Speaker 4: and knowing the people who are really sort of funding

425
00:21:26,480 --> 00:21:29,600
Speaker 4: that one of the big driving forces behind defunding a

426
00:21:29,600 --> 00:21:32,760
Speaker 4: lot of scientific research is because scientists tend to point

427
00:21:32,760 --> 00:21:36,320
Speaker 4: out with factual evidence that you know, many industries or

428
00:21:36,320 --> 00:21:40,719
Speaker 4: practices are actually degrading our environment. So you get people like,

429
00:21:40,880 --> 00:21:43,840
Speaker 4: why can't I run a supercomputer that will poison the

430
00:21:43,920 --> 00:21:48,960
Speaker 4: air and waste fresh water? What do you mean carbon emissions?

431
00:21:49,520 --> 00:21:52,440
Speaker 4: How is my business responsible for extreme weather? I don't

432
00:21:52,440 --> 00:21:55,120
Speaker 4: get it. Get these people who keep getting their receipts

433
00:21:55,200 --> 00:21:58,040
Speaker 4: out of my face and that kind of what it's

434
00:21:58,080 --> 00:22:00,399
Speaker 4: it's sort of like what this whole backlash far like

435
00:22:00,440 --> 00:22:02,840
Speaker 4: this sort of capitalistic sort of like you're getting in

436
00:22:02,840 --> 00:22:05,040
Speaker 4: the way of our money making and it doesn't matter

437
00:22:05,040 --> 00:22:07,639
Speaker 4: if we're just killing the earth in the process.

438
00:22:07,760 --> 00:22:11,040
Speaker 2: So I have a simple pitch science, we need to

439
00:22:11,119 --> 00:22:16,280
Speaker 2: just start issuing these findings the way that people who

440
00:22:16,359 --> 00:22:19,320
Speaker 2: like work for CEOs do, where you basically have to

441
00:22:19,320 --> 00:22:22,080
Speaker 2: make it seem like it was the CEO's idea. Every

442
00:22:22,160 --> 00:22:26,720
Speaker 2: time you like pitch the breakthrough to a billionaire, you'd

443
00:22:27,040 --> 00:22:29,960
Speaker 2: be like, this thing that you funded a number of

444
00:22:30,080 --> 00:22:33,080
Speaker 2: years ago has borne fruit. It turns out that there

445
00:22:33,160 --> 00:22:36,600
Speaker 2: is climate change, and we have this idea called the

446
00:22:36,640 --> 00:22:42,520
Speaker 2: Bezos Climate buster for UH for fixing it BCB. Because

447
00:22:42,680 --> 00:22:45,439
Speaker 2: I just feel like the the scientific breakthroughs up to

448
00:22:45,480 --> 00:22:51,600
Speaker 2: this point are they're they're just very inconvenient and not

449
00:22:52,119 --> 00:22:53,920
Speaker 2: in line with profitability.

450
00:22:54,200 --> 00:22:57,520
Speaker 1: You're not so far off, Jack, because like I don't like,

451
00:22:57,920 --> 00:22:59,760
Speaker 1: I don't want to spill the beans. Right, So I

452
00:22:59,800 --> 00:23:03,800
Speaker 1: don't know who's listening to this podcast will be very vague,

453
00:23:04,600 --> 00:23:09,440
Speaker 1: but there are a couple of fairly large states in

454
00:23:09,480 --> 00:23:14,000
Speaker 1: the United States that are read and have like problematic governors. Sure,

455
00:23:15,000 --> 00:23:17,639
Speaker 1: and so just like think of you know some of

456
00:23:17,680 --> 00:23:20,399
Speaker 1: them are one of them in your mind. So actually,

457
00:23:20,640 --> 00:23:25,119
Speaker 1: this group of conservationists convinced a governor just a couple

458
00:23:25,119 --> 00:23:30,080
Speaker 1: of years ago, no, no, no, during the first Trump administration,

459
00:23:30,840 --> 00:23:37,520
Speaker 1: convinced the governor to protect a whole bunch of wilderness

460
00:23:38,359 --> 00:23:44,919
Speaker 1: that was unprotected, so like millions of acres, by suggesting

461
00:23:45,000 --> 00:23:48,919
Speaker 1: that it would give state pride, that the wildlife that

462
00:23:49,040 --> 00:23:55,320
Speaker 1: would use that those protected lands are wildlife that like

463
00:23:55,320 --> 00:23:59,280
Speaker 1: like represent the state. And if you have state pride,

464
00:24:00,119 --> 00:24:03,520
Speaker 1: like if you're a real person from this state, you

465
00:24:03,600 --> 00:24:09,280
Speaker 1: really care about these animals, and thus you must support like,

466
00:24:10,720 --> 00:24:13,359
Speaker 1: you know, preserving these protected areas, which means like not

467
00:24:13,440 --> 00:24:15,879
Speaker 1: developing on them, not hunting on them all this stuff

468
00:24:16,080 --> 00:24:18,560
Speaker 1: and like it was a it was a like a

469
00:24:18,600 --> 00:24:22,560
Speaker 1: reverse psychology kind of inception kind of thing. We don't

470
00:24:22,560 --> 00:24:24,840
Speaker 1: know if it'll work again, but it was major for

471
00:24:24,880 --> 00:24:25,879
Speaker 1: this one particularly.

472
00:24:25,920 --> 00:24:26,399
Speaker 5: It worked.

473
00:24:26,760 --> 00:24:29,520
Speaker 4: Wow. I mean it does make sense. We do live

474
00:24:29,560 --> 00:24:34,240
Speaker 4: in such a like politic politicians ego driven like era

475
00:24:34,480 --> 00:24:36,560
Speaker 4: right now, where it's like, oh, maybe we just make

476
00:24:36,640 --> 00:24:39,080
Speaker 4: it appeal to their sense of pride or something.

477
00:24:39,240 --> 00:24:45,880
Speaker 1: Yeah, it was part and it was like white like

478
00:24:45,880 --> 00:24:49,400
Speaker 1: like if we lost this animal, we wouldn't be us anymore.

479
00:24:49,600 --> 00:24:50,639
Speaker 3: So let's right you know.

480
00:24:50,880 --> 00:24:53,640
Speaker 4: Yeah yeah, yeah, well that's at least they can somehow

481
00:24:53,680 --> 00:24:56,160
Speaker 4: connect it in that really fucked up backwards way.

482
00:24:56,640 --> 00:25:01,000
Speaker 2: I mean, early conservationism was super racis. Yeah, like, so

483
00:25:01,560 --> 00:25:04,399
Speaker 2: maybe we just like bring it back to its roots.

484
00:25:05,560 --> 00:25:06,879
Speaker 2: You know, we're back to.

485
00:25:07,640 --> 00:25:12,240
Speaker 1: That guy early the early conservation was like wildlife over people,

486
00:25:13,000 --> 00:25:15,480
Speaker 1: which is essentially, you know, like something that I could

487
00:25:15,520 --> 00:25:16,600
Speaker 1: see rising up again.

488
00:25:17,040 --> 00:25:21,320
Speaker 4: Yeah yeah, who it was the guy who has the

489
00:25:21,440 --> 00:25:22,840
Speaker 4: part in California.

490
00:25:23,240 --> 00:25:25,560
Speaker 2: Yeah, yeah, we all know who we're talking about.

491
00:25:25,880 --> 00:25:29,119
Speaker 4: John John was like the mirror of the woods, the

492
00:25:29,160 --> 00:25:29,760
Speaker 4: mirror woods.

493
00:25:29,840 --> 00:25:32,840
Speaker 1: Yes, John here and Tody Teddy Roosevelt take out.

494
00:25:33,480 --> 00:25:36,200
Speaker 4: Yeah, because their whole life. These these indigenous people can't

495
00:25:36,200 --> 00:25:38,439
Speaker 4: fucking appreciate it like us. They need to be quiet.

496
00:25:38,440 --> 00:25:41,080
Speaker 4: And let us just look at this blank canvas really quick.

497
00:25:41,160 --> 00:25:43,400
Speaker 4: That's what conservation is. Get out of my ways.

498
00:25:43,400 --> 00:25:45,840
Speaker 2: So it needs to be connected to white supremacy in

499
00:25:45,920 --> 00:25:48,320
Speaker 2: some way in order for it to succeed in the

500
00:25:48,440 --> 00:25:51,520
Speaker 2: United States. So how do we make ok, how do

501
00:25:51,640 --> 00:25:56,520
Speaker 2: we make here's client the climate crisis a white supremacist idea.

502
00:25:56,720 --> 00:25:58,880
Speaker 4: I'm just the white people will die. The white people

503
00:25:58,920 --> 00:25:59,520
Speaker 4: will die too.

504
00:26:00,000 --> 00:26:06,000
Speaker 2: That's true. That's true. It will It will democratize socialized

505
00:26:06,080 --> 00:26:08,640
Speaker 2: death because everybody's going to and it's like we're.

506
00:26:08,520 --> 00:26:12,280
Speaker 1: Kind of well, I hope people are. Well, how do

507
00:26:12,359 --> 00:26:14,439
Speaker 1: I say this? Because it's really tragic. We just had

508
00:26:14,640 --> 00:26:18,560
Speaker 1: those flash floods in Texas and a whole bunch of

509
00:26:18,760 --> 00:26:24,080
Speaker 1: people perished in that tragedy. And kiddos, I mean just

510
00:26:24,160 --> 00:26:29,359
Speaker 1: like it is just so sensitive and beyond awful. Doesn't

511
00:26:29,400 --> 00:26:32,639
Speaker 1: matter who the people were who died. It could have

512
00:26:32,680 --> 00:26:36,800
Speaker 1: been prevented. And it was also caused by climate change,

513
00:26:36,920 --> 00:26:40,520
Speaker 1: right like, because climate change is changing weather patterns and

514
00:26:40,600 --> 00:26:45,160
Speaker 1: changing you know, all kinds of things. We're seeing tragedies

515
00:26:45,160 --> 00:26:48,760
Speaker 1: like this around the world more and more, and I

516
00:26:48,800 --> 00:26:52,080
Speaker 1: think there is a way for someone that's not gonna

517
00:26:52,080 --> 00:26:55,679
Speaker 1: be me to talk about this in a racialized context, right, Like,

518
00:26:55,720 --> 00:26:59,840
Speaker 1: this was a natural disaster that impacted a certain demographic

519
00:26:59,880 --> 00:27:04,960
Speaker 1: of people that has yet to be like tremendously impacted

520
00:27:05,000 --> 00:27:09,040
Speaker 1: about climate change. And it's scary and it's so real.

521
00:27:09,320 --> 00:27:12,280
Speaker 1: It's so real, and no one deserves to die for

522
00:27:12,359 --> 00:27:15,880
Speaker 1: any reason, in my opinion, but particularly because we are

523
00:27:15,920 --> 00:27:20,679
Speaker 1: mismanaging our climate solutions. So anyway, I do not wish

524
00:27:20,760 --> 00:27:23,680
Speaker 1: more of this on the world. But if we're all

525
00:27:23,720 --> 00:27:28,960
Speaker 1: able to see things clearly, we can really see that

526
00:27:29,119 --> 00:27:31,720
Speaker 1: no one is safe, right, and that's not.

527
00:27:31,760 --> 00:27:34,840
Speaker 4: Okay, truly truly. I mean I think of, like, you know,

528
00:27:34,840 --> 00:27:36,960
Speaker 4: I lost my house in the Eating fire, and I

529
00:27:37,040 --> 00:27:39,800
Speaker 4: just think of how that was just I just remember

530
00:27:39,880 --> 00:27:42,400
Speaker 4: the winds, like the wind warnings. They're like these are

531
00:27:42,520 --> 00:27:45,320
Speaker 4: fucking like once in a hundred year winds that are

532
00:27:45,359 --> 00:27:47,960
Speaker 4: going to blow through this like the two ten Yeah,

533
00:27:47,960 --> 00:27:50,480
Speaker 4: like the two ten corridor. And at the time I

534
00:27:50,560 --> 00:27:52,840
Speaker 4: was like whoa, Like I was watching the trees move

535
00:27:52,880 --> 00:27:54,600
Speaker 4: and I was like, this is kind of interesting. And

536
00:27:54,600 --> 00:27:56,439
Speaker 4: then the power went on and then hours later, like

537
00:27:56,520 --> 00:27:59,320
Speaker 4: the fires began. But when I put it all together,

538
00:27:59,359 --> 00:28:01,959
Speaker 4: I was like, oh god, these winds are acting as

539
00:28:02,000 --> 00:28:05,919
Speaker 4: a bellows for the fires, which this area just became

540
00:28:05,960 --> 00:28:09,520
Speaker 4: a furnace, and you now have the most extreme winds

541
00:28:09,600 --> 00:28:13,240
Speaker 4: just you know, like literally fanning these flames too to

542
00:28:13,280 --> 00:28:16,080
Speaker 4: an intensity like that we're going into like urban basins

543
00:28:16,080 --> 00:28:18,679
Speaker 4: like Altadena and things like that. So yeah, like it's

544
00:28:18,920 --> 00:28:21,159
Speaker 4: no fucking no one is safe. And even if you

545
00:28:21,200 --> 00:28:22,720
Speaker 4: think it's, like, well, it's only gonna happen to me

546
00:28:22,760 --> 00:28:25,040
Speaker 4: in this one specific way. No, Like, we live in

547
00:28:25,119 --> 00:28:27,360
Speaker 4: such a like we live in an environment where all

548
00:28:27,359 --> 00:28:31,280
Speaker 4: of these relationships feed off of each other and one

549
00:28:31,320 --> 00:28:33,439
Speaker 4: thing will lead to another eventually.

550
00:28:34,359 --> 00:28:36,880
Speaker 1: And I mean I'm sory.

551
00:28:36,920 --> 00:28:39,680
Speaker 4: Oh no, no, yeah, it's it's fine. It's you know,

552
00:28:39,800 --> 00:28:42,160
Speaker 4: we were just talking about having less stuff. Fine, but

553
00:28:42,560 --> 00:28:45,719
Speaker 4: I mean, yes, yeah, yeah, yeah, I mean it's it

554
00:28:45,800 --> 00:28:48,200
Speaker 4: is what it is. I mean, I'm constantly in a

555
00:28:48,440 --> 00:28:53,160
Speaker 4: process of like grieving my life, mourning the future that

556
00:28:53,200 --> 00:28:55,280
Speaker 4: I thought I had ahead of me, and things like that.

557
00:28:55,360 --> 00:28:57,280
Speaker 4: But at the same time, I'm learning so much about

558
00:28:57,280 --> 00:29:00,400
Speaker 4: how resilient I am, how resilient my neighbors are, how

559
00:29:00,400 --> 00:29:03,080
Speaker 4: resilient my family is and those things have been much

560
00:29:03,080 --> 00:29:05,400
Speaker 4: more heartening to me. And just like the support I've

561
00:29:05,400 --> 00:29:09,080
Speaker 4: gotten from friends, family, Zeitgang, the listeners like It's I've

562
00:29:09,120 --> 00:29:13,040
Speaker 4: had every reminder around me that the Earth is good,

563
00:29:13,200 --> 00:29:17,000
Speaker 4: that people are good, and that's that sort of carries

564
00:29:17,040 --> 00:29:19,960
Speaker 4: me through because even with like climate change, I do

565
00:29:20,040 --> 00:29:23,560
Speaker 4: think people people will begin to put the pieces together,

566
00:29:23,640 --> 00:29:27,560
Speaker 4: no matter how propagandized they are. There's something about seeing

567
00:29:27,640 --> 00:29:30,920
Speaker 4: Earth just fuck your shit up that it's hard. Like

568
00:29:31,000 --> 00:29:33,600
Speaker 4: I know some people can immediately just turn to conspiracy

569
00:29:33,640 --> 00:29:35,720
Speaker 4: theories to try and soothe themselves and cope with the

570
00:29:35,760 --> 00:29:38,440
Speaker 4: reality of it, but other times it ends up being

571
00:29:38,720 --> 00:29:43,760
Speaker 4: something that just moves you. Like anyway, all that to say, now,

572
00:29:43,800 --> 00:29:46,920
Speaker 4: like with all of these changing weather patterns, we are

573
00:29:46,960 --> 00:29:50,560
Speaker 4: just constantly seeing all these little pieces of like scientific

574
00:29:50,600 --> 00:29:52,760
Speaker 4: research or tools that are being used to keep people

575
00:29:52,800 --> 00:29:55,840
Speaker 4: safe just being picked apart. Like so this week, the

576
00:29:55,960 --> 00:30:00,000
Speaker 4: Navy is basically unplugging three weather satellites as we approach

577
00:30:00,120 --> 00:30:03,440
Speaker 4: p hurricane season in the Atlantic and there are literally

578
00:30:03,520 --> 00:30:06,000
Speaker 4: no other substitutes that can offer the kind of essential

579
00:30:06,080 --> 00:30:09,800
Speaker 4: data that these that these satellites do. And like in

580
00:30:09,880 --> 00:30:13,600
Speaker 4: reading the story, I'm like Oh my god, what yeah,

581
00:30:14,120 --> 00:30:17,080
Speaker 4: what are you saying? Like how and like the Pentagon's like, well,

582
00:30:17,080 --> 00:30:20,400
Speaker 4: there's a huge vulnerability, there's an IT security issue. These

583
00:30:20,440 --> 00:30:23,600
Speaker 4: things have been they're actually past their operational date. It's

584
00:30:23,600 --> 00:30:25,400
Speaker 4: they should have only been operating for five years. They've

585
00:30:25,400 --> 00:30:28,240
Speaker 4: been up there for ted whatever. So But then like

586
00:30:28,360 --> 00:30:30,400
Speaker 4: on the other part of it, like in the article lower,

587
00:30:30,560 --> 00:30:34,240
Speaker 4: you see how much how many like researchers scientists are

588
00:30:34,280 --> 00:30:37,400
Speaker 4: scrambling to try and fill the gaps right now because

589
00:30:37,400 --> 00:30:39,480
Speaker 4: they're like, well, we just lost one of our most

590
00:30:39,480 --> 00:30:43,280
Speaker 4: important tools. Now we have to immediately begin problem solving

591
00:30:43,280 --> 00:30:45,959
Speaker 4: around how to you know, alleviate the loss of all

592
00:30:46,000 --> 00:30:49,600
Speaker 4: that essential data. And it's also again like heartening to

593
00:30:49,760 --> 00:30:52,760
Speaker 4: just see people being like, we have to get it done.

594
00:30:52,800 --> 00:30:55,280
Speaker 4: But at the same time, this is all being this

595
00:30:55,360 --> 00:30:57,320
Speaker 4: is all man made in terms of literally being like, well,

596
00:30:57,320 --> 00:30:59,200
Speaker 4: we're just going to take this tool away because it's

597
00:30:59,200 --> 00:31:02,560
Speaker 4: part of projective and you know, the more we can

598
00:31:02,600 --> 00:31:06,600
Speaker 4: ignore climate change like from a measurable standpoint, then it

599
00:31:06,760 --> 00:31:09,320
Speaker 4: goes away. I'm still failing to really connect all of

600
00:31:09,320 --> 00:31:11,600
Speaker 4: those dots. I mean, I can see the sort of

601
00:31:11,920 --> 00:31:16,000
Speaker 4: wealth redistribution after a disaster that happens in disaster capitalism.

602
00:31:16,040 --> 00:31:19,760
Speaker 4: But it's like very like, wow, what do I don't

603
00:31:19,800 --> 00:31:21,000
Speaker 4: know what you think. I don't know how you think

604
00:31:21,000 --> 00:31:23,680
Speaker 4: this ends up good for everyone if we're unable to

605
00:31:23,760 --> 00:31:25,600
Speaker 4: like properly track storms and things like that.

606
00:31:25,600 --> 00:31:27,840
Speaker 1: I agree with you, that's I think also for so

607
00:31:28,000 --> 00:31:31,479
Speaker 1: many people, maybe not folks who are as like plugged

608
00:31:31,480 --> 00:31:33,480
Speaker 1: into science stuff, but for a lot of people who

609
00:31:34,160 --> 00:31:36,120
Speaker 1: like are just like living their lives, like minding their

610
00:31:36,120 --> 00:31:39,360
Speaker 1: own business like they were likely or we were likely

611
00:31:39,440 --> 00:31:43,479
Speaker 1: unaware of how many system scientific systems have been in

612
00:31:43,520 --> 00:31:46,360
Speaker 1: place that we're just not like checking for because they

613
00:31:46,400 --> 00:31:48,680
Speaker 1: just exist and they help us, you know, like when

614
00:31:48,720 --> 00:31:51,160
Speaker 1: you open your weather app, it's because there's all this

615
00:31:51,320 --> 00:31:54,560
Speaker 1: science and technology that's just been operating behind the scenes,

616
00:31:54,720 --> 00:31:57,360
Speaker 1: or when you get your vaccine from your doctor or

617
00:31:57,400 --> 00:31:59,320
Speaker 1: like whatever. It is, like there's just so much that

618
00:31:59,360 --> 00:32:02,000
Speaker 1: has just exist and been put in place, and we're

619
00:32:02,040 --> 00:32:05,600
Speaker 1: only finding out the details of it as it gets dismantled.

620
00:32:05,680 --> 00:32:07,520
Speaker 1: And then that's extra alarm because you're kind of like,

621
00:32:07,720 --> 00:32:10,960
Speaker 1: WHOA this whole time, Like there's been problems, but I

622
00:32:10,960 --> 00:32:14,560
Speaker 1: guess there's been fewer problems because we had all this

623
00:32:14,600 --> 00:32:16,200
Speaker 1: stuff in place, So what is it going to be

624
00:32:16,320 --> 00:32:16,960
Speaker 1: like now.

625
00:32:17,080 --> 00:32:20,080
Speaker 2: Yeah, I remember during the DOGE cuts, So there was

626
00:32:20,120 --> 00:32:22,200
Speaker 2: like an interview in one of the major papers with

627
00:32:22,280 --> 00:32:25,479
Speaker 2: somebody being like, well, yeah, they can cut the like

628
00:32:25,760 --> 00:32:27,840
Speaker 2: funding on that because I just go to weather dot

629
00:32:27,840 --> 00:32:33,560
Speaker 2: com to get my weather updates and meteorological reports, and

630
00:32:33,560 --> 00:32:35,840
Speaker 2: it's like, where the fuck do you think they're getting

631
00:32:36,440 --> 00:32:37,400
Speaker 2: their data from.

632
00:32:37,640 --> 00:32:41,280
Speaker 4: Yeah, it's sort of like that sort of metaphor you

633
00:32:41,320 --> 00:32:43,800
Speaker 4: talk about Jack, like wealthy people thinking like they were

634
00:32:43,840 --> 00:32:45,880
Speaker 4: born on third or what would you say, they were

635
00:32:45,920 --> 00:32:47,080
Speaker 4: born on first or whatever.

636
00:32:47,320 --> 00:32:49,960
Speaker 2: I'm born on third thinking they hit a triple.

637
00:32:49,760 --> 00:32:53,280
Speaker 4: Oh yeah, exactly, born like where we are ambiently just

638
00:32:53,680 --> 00:32:57,360
Speaker 4: we're reaping the benefits of scientific research that people just

639
00:32:57,400 --> 00:33:00,440
Speaker 4: think it's part of life rather than And it's like

640
00:33:00,720 --> 00:33:05,200
Speaker 4: this is centuries of science that have culminated in you

641
00:33:05,320 --> 00:33:07,840
Speaker 4: looking at your phone and being like it might rain

642
00:33:07,920 --> 00:33:11,560
Speaker 4: on Saturday. That's not just because like God's like, yeah,

643
00:33:11,640 --> 00:33:15,560
Speaker 4: you guys have earned this like clairvoyance to predict the weather.

644
00:33:15,600 --> 00:33:19,040
Speaker 4: It's all built off the backs of human research, right, Yeah.

645
00:33:18,880 --> 00:33:21,920
Speaker 1: Like the Internet doesn't just give you information because the

646
00:33:22,040 --> 00:33:27,360
Speaker 1: Internet is sentient, like it is put into the Internet

647
00:33:27,440 --> 00:33:28,880
Speaker 1: so that you can access it.

648
00:33:29,280 --> 00:33:32,280
Speaker 2: I will just say, Miles, you mentioned conspiracy theories, and

649
00:33:32,920 --> 00:33:37,000
Speaker 2: I do just have to because conspiracy theories, like the

650
00:33:37,040 --> 00:33:39,720
Speaker 2: ones that are out there and known as conspiracy theories

651
00:33:39,800 --> 00:33:44,440
Speaker 2: are like, you know, the Left is hiding messages in

652
00:33:44,480 --> 00:33:47,080
Speaker 2: our kids heavy metal music by like if you play

653
00:33:47,120 --> 00:33:49,560
Speaker 2: it backwards you can hear that. So that's like what

654
00:33:49,680 --> 00:33:53,520
Speaker 2: gets conspiracy theories written about is just like fantasies that

655
00:33:53,680 --> 00:33:58,240
Speaker 2: like the Left is like steering things behind the scenes somehow. Meanwhile,

656
00:33:58,360 --> 00:34:02,479
Speaker 2: like the Koch brothers the past like sixty years, what

657
00:34:02,560 --> 00:34:08,719
Speaker 2: they've done is more like comprehensive and like underhanded and

658
00:34:08,800 --> 00:34:14,120
Speaker 2: successful than like any wild conspiracy theory, Like they've they've

659
00:34:14,200 --> 00:34:18,520
Speaker 2: seeded these like anti scientific values that will kill us

660
00:34:18,560 --> 00:34:22,080
Speaker 2: all by like doing things like getting actors to dress

661
00:34:22,160 --> 00:34:24,439
Speaker 2: up as the founding fathers and like create the tea

662
00:34:24,480 --> 00:34:28,320
Speaker 2: party and shit. Like they've just been quietly like pulling

663
00:34:28,320 --> 00:34:33,120
Speaker 2: off this massive conspiracy. But in the United States, like

664
00:34:33,200 --> 00:34:39,560
Speaker 2: when a rich, powerful entity like does something, it's not

665
00:34:40,120 --> 00:34:43,600
Speaker 2: considered a conspiracy theory. It's just considered like too boring

666
00:34:43,719 --> 00:34:44,799
Speaker 2: to like pay attention to.

667
00:34:45,200 --> 00:34:48,560
Speaker 4: Yeah, and I think again, depending on your perspective, they'll

668
00:34:48,560 --> 00:34:50,600
Speaker 4: be like, well, that's their right as business people to

669
00:34:50,680 --> 00:34:52,719
Speaker 4: do things that help their business. I'm like, that's not

670
00:34:52,880 --> 00:34:55,480
Speaker 4: what they're I mean, yeah, they are helping their business.

671
00:34:55,480 --> 00:34:58,279
Speaker 4: But the knock on effects here that like we're absolutely

672
00:34:58,280 --> 00:35:01,480
Speaker 4: going to experience the degradation of the vi because of that.

673
00:35:01,680 --> 00:35:05,600
Speaker 4: Oh okay, sure. And like this next headline that showed

674
00:35:05,680 --> 00:35:09,080
Speaker 4: up too, that there are almost twenty states that have

675
00:35:09,640 --> 00:35:13,640
Speaker 4: Republican weather control bills moving through their state legislatures right now.

676
00:35:14,000 --> 00:35:17,600
Speaker 4: This is again, this is now Republicans being like, all right,

677
00:35:17,640 --> 00:35:22,240
Speaker 4: we need bills that will prevent the government from using

678
00:35:22,320 --> 00:35:26,480
Speaker 4: airplanes to spray chemicals and do weather control on us.

679
00:35:26,880 --> 00:35:28,600
Speaker 4: And you're like, I'm sorry, Like okay, So one of

680
00:35:28,600 --> 00:35:31,680
Speaker 4: these things right that Marjorie Taylor Green and Tim Burkett

681
00:35:32,280 --> 00:35:34,640
Speaker 4: have introduced called the Clear Skies Act. We talked about

682
00:35:34,680 --> 00:35:37,399
Speaker 4: it like maybe a month ago again, quote, which would

683
00:35:37,440 --> 00:35:41,279
Speaker 4: outlaw forms of geo engineering and hit alleged weather modifiers

684
00:35:41,320 --> 00:35:44,000
Speaker 4: with penalties of up to one hundred thousand dollars for

685
00:35:44,080 --> 00:35:48,040
Speaker 4: each violation and potential prison sentences of up to five years.

686
00:35:48,440 --> 00:35:51,840
Speaker 4: It's not a conspiracy theory. Pennsylvania State Senator Camera Bartolota

687
00:35:51,880 --> 00:35:55,640
Speaker 4: Republican who co sponsored legislation our legislation in her state, said,

688
00:35:55,960 --> 00:35:57,760
Speaker 4: all you have to do is look.

689
00:35:57,640 --> 00:35:59,800
Speaker 3: Up weather modifiers.

690
00:36:00,160 --> 00:36:02,759
Speaker 2: Yeah, I'm actually in the process of looking up them.

691
00:36:02,880 --> 00:36:05,120
Speaker 2: I'm not quite seeing what they're talking about.

692
00:36:05,120 --> 00:36:09,000
Speaker 4: Well, it's like if you see contrails, they're like, that's it. Yeah, yeah,

693
00:36:09,000 --> 00:36:11,439
Speaker 4: but then what but what are you again? I don't

694
00:36:11,440 --> 00:36:14,480
Speaker 4: even know how they can prove anything is happening, because

695
00:36:14,480 --> 00:36:17,279
Speaker 4: every time these freaks talk about it, they're pointing to

696
00:36:17,320 --> 00:36:20,360
Speaker 4: like a sentence and a Pentagon report that they are like,

697
00:36:20,560 --> 00:36:24,440
Speaker 4: that's that's an area of interest is to study weather modification.

698
00:36:24,840 --> 00:36:27,560
Speaker 4: And they take that as the Pentagon has weather modifying

699
00:36:27,600 --> 00:36:30,360
Speaker 4: weapons that they use to modify the weather to attack people,

700
00:36:30,400 --> 00:36:33,799
Speaker 4: and then they're going to attack their own country with

701
00:36:34,280 --> 00:36:34,680
Speaker 4: the weather.

702
00:36:36,120 --> 00:36:38,279
Speaker 1: I just think I think I did hear about this,

703
00:36:38,400 --> 00:36:41,000
Speaker 1: like in a different context where folks are like, you know,

704
00:36:41,080 --> 00:36:44,880
Speaker 1: environmentalists who are like, that's true, the emissions of fossil

705
00:36:44,880 --> 00:36:45,640
Speaker 1: fuels do.

706
00:36:45,760 --> 00:36:46,720
Speaker 3: Modify the weather.

707
00:36:47,160 --> 00:36:50,920
Speaker 1: Those should be stopped because it does harm people.

708
00:36:51,320 --> 00:36:52,480
Speaker 4: So just outlaw that.

709
00:36:52,600 --> 00:36:54,840
Speaker 1: Let's like, let's pass these bills and make sure that

710
00:36:54,880 --> 00:36:55,880
Speaker 1: it's comprehensive.

711
00:36:56,280 --> 00:36:59,280
Speaker 2: Those contrails you see up there coming off of fossil

712
00:36:59,320 --> 00:37:03,520
Speaker 2: fuel power jets that are flying through the air. Huh wait,

713
00:37:03,600 --> 00:37:05,560
Speaker 2: look about that? What do you think about that? I'm

714
00:37:05,600 --> 00:37:08,160
Speaker 2: hearing a lot more people talk about this idea of like,

715
00:37:08,239 --> 00:37:11,520
Speaker 2: I'm just kind of banking that someone smart's going to

716
00:37:11,560 --> 00:37:15,160
Speaker 2: figure out the climate change thing. And I think one

717
00:37:15,200 --> 00:37:19,400
Speaker 2: of the things that scientists are looking into are like

718
00:37:19,760 --> 00:37:25,560
Speaker 2: weather modification, temperature modification, like spraying salt water, like ocean

719
00:37:25,600 --> 00:37:29,440
Speaker 2: water into the air to try and deflect sunlight, to

720
00:37:29,640 --> 00:37:32,279
Speaker 2: like see what that's going to look like. And I

721
00:37:32,280 --> 00:37:36,640
Speaker 2: feel like these conservative forces are acting like an immune

722
00:37:36,640 --> 00:37:40,160
Speaker 2: system already, just like preparing people to freak out over

723
00:37:40,239 --> 00:37:44,800
Speaker 2: any idea that would involve like trying to cool the environment,

724
00:37:44,800 --> 00:37:48,040
Speaker 2: which again I'm not saying that's necessarily the right path,

725
00:37:48,239 --> 00:37:51,760
Speaker 2: but it's just like there's no way even if somebody

726
00:37:51,760 --> 00:37:54,920
Speaker 2: comes up with a strategy that's like harmless and going

727
00:37:54,960 --> 00:37:58,880
Speaker 2: to cool the environment, they won't be able to do

728
00:37:58,960 --> 00:38:00,239
Speaker 2: it because of shit like this.

729
00:38:00,480 --> 00:38:03,880
Speaker 4: I feel like it's mister Freeze, it's doctor Freeze from Batman.

730
00:38:04,080 --> 00:38:06,080
Speaker 4: They're like, you know what, you know, you know where

731
00:38:06,080 --> 00:38:09,520
Speaker 4: this kind of stuff you've seen snow piercer, Yeah, and like, meanwhile,

732
00:38:09,560 --> 00:38:11,799
Speaker 4: like the EPA right now, which is a huge thing

733
00:38:11,800 --> 00:38:15,440
Speaker 4: this week, they're basically revoking the scientific basis for United

734
00:38:15,480 --> 00:38:20,040
Speaker 4: States climate regulations. So this is like the in two

735
00:38:20,080 --> 00:38:22,600
Speaker 4: thousand and nine, there is a declaration that determined quote,

736
00:38:22,640 --> 00:38:26,760
Speaker 4: carbon dioxide and other greenhouse gases endanger public health and welfare.

737
00:38:26,800 --> 00:38:31,319
Speaker 4: And basically this endangerment finding is the whole basis for

738
00:38:31,440 --> 00:38:33,719
Speaker 4: our laws to be like, yeah, we can't do that,

739
00:38:34,480 --> 00:38:37,800
Speaker 4: can't do that stuff because it's bad, because it's affecting

740
00:38:37,920 --> 00:38:41,880
Speaker 4: us negatively in a measurable way. Meanwhile, the head of

741
00:38:41,880 --> 00:38:45,320
Speaker 4: the EPA, Lee's Elden, says, like this sort of scientific

742
00:38:45,360 --> 00:38:48,800
Speaker 4: basis is quote the holy grail for climate change religion,

743
00:38:49,239 --> 00:38:52,719
Speaker 4: and that rescinding this declaration will usher in, like he said,

744
00:38:53,080 --> 00:38:57,920
Speaker 4: just a new age of American prosperity aka fossil fuel fuckfest.

745
00:38:58,360 --> 00:39:00,840
Speaker 4: But when you read reports now about how the fossil

746
00:39:00,880 --> 00:39:04,040
Speaker 4: fuel industry is operating, they're not drilling more than they

747
00:39:04,040 --> 00:39:06,360
Speaker 4: were under bite, and like that whole idea of like

748
00:39:06,440 --> 00:39:09,919
Speaker 4: the drill baby, drill prosperity sort of gospel, like that's

749
00:39:09,960 --> 00:39:14,040
Speaker 4: not actually in practice doing anything or remotely close to

750
00:39:14,080 --> 00:39:17,600
Speaker 4: providing the sort of prosperity that everyone believes it will

751
00:39:17,600 --> 00:39:20,920
Speaker 4: be on the right. So it's just very There's.

752
00:39:20,760 --> 00:39:26,800
Speaker 1: A lot of like job opportunities, economic stimulation that exists

753
00:39:26,920 --> 00:39:30,560
Speaker 1: in electrifying America and moving away from fossil fuels. There's

754
00:39:30,640 --> 00:39:35,400
Speaker 1: like an entire green economy that is waiting to like

755
00:39:35,600 --> 00:39:39,640
Speaker 1: get started if we if we have leaders that allow

756
00:39:39,719 --> 00:39:42,920
Speaker 1: it is sustainable, it is long term. It would transform

757
00:39:42,960 --> 00:39:46,120
Speaker 1: the world and it would decrease debt. It would I mean,

758
00:39:46,160 --> 00:39:49,560
Speaker 1: it's just like it's the best choice. But it is

759
00:39:49,960 --> 00:39:52,880
Speaker 1: all become very political, Like having a healthy thriving planet

760
00:39:53,280 --> 00:39:57,279
Speaker 1: in at least America today has become political, and so

761
00:39:57,440 --> 00:39:59,720
Speaker 1: we're fighting with each other more than we're doing anything.

762
00:40:00,160 --> 00:40:04,160
Speaker 2: All those jobs sound like they would redistribute money away

763
00:40:04,239 --> 00:40:07,120
Speaker 2: from fossil fuel executives and the people who currently have

764
00:40:07,239 --> 00:40:09,719
Speaker 2: all the money down to people who don't have the

765
00:40:09,760 --> 00:40:13,279
Speaker 2: money right now, which we're we just have to take

766
00:40:13,360 --> 00:40:15,959
Speaker 2: en up. We need our economists to take another look

767
00:40:16,000 --> 00:40:18,160
Speaker 2: at that. One. That sounds like socialism to me.

768
00:40:18,440 --> 00:40:20,960
Speaker 1: I mean, I agree with that, but also we have

769
00:40:21,280 --> 00:40:24,880
Speaker 1: examples of you know, like the wealthiest man in the world,

770
00:40:25,520 --> 00:40:29,920
Speaker 1: like his company makes electric stuff, right, yeah, you know,

771
00:40:30,120 --> 00:40:32,200
Speaker 1: so it's like it's not you know, I would like

772
00:40:32,280 --> 00:40:35,640
Speaker 1: to see like money trickle down to the people, but

773
00:40:36,600 --> 00:40:39,680
Speaker 1: it's it's still going to be capitalism, even if it's green.

774
00:40:40,080 --> 00:40:41,080
Speaker 2: Yeah, that's right.

775
00:40:41,640 --> 00:40:43,520
Speaker 4: I mean, yeah, I mean I was every time I

776
00:40:43,560 --> 00:40:46,440
Speaker 4: read those pieces too, like about our energy generation. Like,

777
00:40:46,560 --> 00:40:48,960
Speaker 4: the part that makes me feel better is like we're

778
00:40:49,000 --> 00:40:53,040
Speaker 4: also in the era of like explosive renewable energy development too,

779
00:40:53,200 --> 00:40:57,280
Speaker 4: Like we're fully developing that, not necessarily in the United States,

780
00:40:57,280 --> 00:41:00,560
Speaker 4: but abroad a lot of countries are like, well we

781
00:41:01,440 --> 00:41:03,480
Speaker 4: fucked with science. What I mean.

782
00:41:03,480 --> 00:41:06,440
Speaker 2: Now, that is something Miles. You talk about the brain drain.

783
00:41:06,800 --> 00:41:09,680
Speaker 2: That's something that I've heard about in a couple of articles.

784
00:41:09,960 --> 00:41:12,839
Speaker 2: But of course the Trump administration has assured me that

785
00:41:12,840 --> 00:41:14,919
Speaker 2: that's not a thing and nothing to be worried about.

786
00:41:14,960 --> 00:41:17,319
Speaker 2: But as a scientist, doctor Grant, is that's something that

787
00:41:17,800 --> 00:41:21,760
Speaker 2: you're seeing evidence of, you know, America being openly hostile

788
00:41:21,840 --> 00:41:26,279
Speaker 2: towards science and scientists. Does that have any impact potentially

789
00:41:26,480 --> 00:41:27,440
Speaker 2: that you could foresee?

790
00:41:27,600 --> 00:41:28,359
Speaker 3: It definitely does.

791
00:41:28,400 --> 00:41:32,440
Speaker 1: And I don't want to kind of exaggerate the brain

792
00:41:32,520 --> 00:41:34,160
Speaker 1: drain in America because I think it's still at a

793
00:41:34,160 --> 00:41:37,480
Speaker 1: place where it's potential there's potentially a brain drain. Like

794
00:41:37,640 --> 00:41:39,279
Speaker 1: there's a lot of countries around the world that have

795
00:41:39,320 --> 00:41:41,359
Speaker 1: a real deal of brain drain, right, Like a lot

796
00:41:41,360 --> 00:41:44,239
Speaker 1: of developing nations where like if people are able to

797
00:41:44,280 --> 00:41:47,680
Speaker 1: achieve a certain amount of education, they leave for Western countries.

798
00:41:47,719 --> 00:41:51,520
Speaker 1: And it's way more, you know, than what we've got

799
00:41:51,560 --> 00:41:54,480
Speaker 1: going on. But I can even say from my personal experience,

800
00:41:55,160 --> 00:42:00,319
Speaker 1: Like in February, weeks after the Trump administration took office,

801
00:42:00,560 --> 00:42:05,360
Speaker 1: like I got multiple emails from universities outside of the

802
00:42:05,440 --> 00:42:09,359
Speaker 1: United States inviting me to consider a position at their

803
00:42:09,440 --> 00:42:13,040
Speaker 1: university for science. And like the letters, I mean, I

804
00:42:13,080 --> 00:42:15,080
Speaker 1: don't want to put anyone on blast, but the letters

805
00:42:15,080 --> 00:42:19,359
Speaker 1: were essentially saying like, obviously there's no way you can

806
00:42:19,440 --> 00:42:23,680
Speaker 1: do conservation science under the current regime, but we will

807
00:42:23,680 --> 00:42:27,080
Speaker 1: support you. We will be innovative. You don't have to fundraise,

808
00:42:27,280 --> 00:42:30,080
Speaker 1: you know, your family is welcome. You could have students.

809
00:42:30,080 --> 00:42:32,879
Speaker 1: I mean, like your dreams could come true. Come on over.

810
00:42:33,040 --> 00:42:36,759
Speaker 1: It was explicit that not only did they want me

811
00:42:36,920 --> 00:42:40,319
Speaker 1: and people like me, but they knew that me and

812
00:42:40,360 --> 00:42:44,880
Speaker 1: people like me needed to continue our important work for

813
00:42:44,960 --> 00:42:47,120
Speaker 1: the world, and the rest of the world is ready

814
00:42:47,120 --> 00:42:50,319
Speaker 1: for that. I mean I've met like here and there,

815
00:42:50,360 --> 00:42:52,680
Speaker 1: I've been recruited for jobs. So this was like like

816
00:42:53,239 --> 00:42:57,840
Speaker 1: super direct and kind of speaks to a potential brain drain, right, Like,

817
00:42:57,880 --> 00:43:01,239
Speaker 1: I mean, we've read about other scholars from top universities

818
00:43:01,280 --> 00:43:06,800
Speaker 1: who have taken positions and other international universities just because

819
00:43:06,880 --> 00:43:11,080
Speaker 1: they will not accept what their universe, how their university

820
00:43:11,320 --> 00:43:15,400
Speaker 1: is adapting, you know, to the Trump administration, or they're

821
00:43:15,400 --> 00:43:19,040
Speaker 1: afraid that they won't last there because of resources.

822
00:43:19,239 --> 00:43:23,200
Speaker 4: Right. Yeah. Every time I read about that, it's like

823
00:43:23,239 --> 00:43:25,640
Speaker 4: it feels like sports were like a team here is

824
00:43:25,680 --> 00:43:28,920
Speaker 4: It's like, hey, their star players are unsettled. Maybe yeah, yeah,

825
00:43:28,920 --> 00:43:30,719
Speaker 4: and then suddenly they're like, oh you knew about me.

826
00:43:30,760 --> 00:43:33,680
Speaker 4: They're like, oh yes, yes, yes, it's been very interested

827
00:43:33,719 --> 00:43:36,479
Speaker 4: in your work for a very long time. In terms

828
00:43:36,560 --> 00:43:39,439
Speaker 4: of like because I hear brain drain and I sort

829
00:43:39,440 --> 00:43:44,440
Speaker 4: of get all the smart people leave, What can you

830
00:43:44,480 --> 00:43:47,479
Speaker 4: help me someone who is dumb really kind of wrap

831
00:43:47,560 --> 00:43:50,600
Speaker 4: my head around like what those like what the domino

832
00:43:50,640 --> 00:43:52,560
Speaker 4: effects are? Like I get that, Yeah, all of this

833
00:43:52,719 --> 00:43:55,400
Speaker 4: research now is happening elsewhere, so then maybe we're not

834
00:43:55,520 --> 00:43:58,160
Speaker 4: the first to it, and maybe that has some kind

835
00:43:58,160 --> 00:44:00,920
Speaker 4: of financial thing. But also like existential. What does that

836
00:44:00,960 --> 00:44:02,600
Speaker 4: mean for like our quality of life when all of

837
00:44:02,640 --> 00:44:04,840
Speaker 4: our top minds just head for the exits.

838
00:44:05,280 --> 00:44:08,720
Speaker 1: Well, I mean, I will say, like examples from other

839
00:44:08,920 --> 00:44:11,319
Speaker 1: countries that they that are not the United States, it

840
00:44:11,440 --> 00:44:16,359
Speaker 1: means that, you know, kind of economic development within that

841
00:44:16,520 --> 00:44:22,200
Speaker 1: country really stalls, right, So like the innovation and yeah,

842
00:44:22,280 --> 00:44:25,400
Speaker 1: the innovation that is that has the potential that country

843
00:44:25,400 --> 00:44:29,040
Speaker 1: in stalls. But also even the educators, right because if

844
00:44:29,040 --> 00:44:33,800
Speaker 1: people who experience extreme education leave for a different country,

845
00:44:34,200 --> 00:44:38,800
Speaker 1: then the educators themselves are also like kind of subpar

846
00:44:39,200 --> 00:44:41,760
Speaker 1: or you know, and so then the people educating the kids.

847
00:44:41,760 --> 00:44:44,640
Speaker 1: Like it's just like this constant cycle that a lot

848
00:44:44,640 --> 00:44:46,880
Speaker 1: of countries can stay in. I can't say for the

849
00:44:47,000 --> 00:44:49,319
Speaker 1: United States because the United States has been number one

850
00:44:49,440 --> 00:44:53,160
Speaker 1: and a lot of different things for you know, a century.

851
00:44:53,200 --> 00:44:56,279
Speaker 2: And so driven by breakthroughs from people who weren't born

852
00:44:56,280 --> 00:44:57,920
Speaker 2: in the United States thank.

853
00:44:57,719 --> 00:45:01,239
Speaker 1: You hello, Yeah, And so it's it's difficult to say

854
00:45:01,239 --> 00:45:04,200
Speaker 1: what it would be. I will offer something a bit

855
00:45:04,320 --> 00:45:09,600
Speaker 1: hopeful when it comes to climate science, environmental science, or

856
00:45:09,719 --> 00:45:14,120
Speaker 1: wildlife conservation work. I think that if the work is

857
00:45:14,200 --> 00:45:18,719
Speaker 1: being done somewhere, that that moves the planet forward. Because

858
00:45:18,719 --> 00:45:21,600
Speaker 1: a lot of issues are not about America, like America's

859
00:45:21,600 --> 00:45:25,600
Speaker 1: part of North America, a continent, Like the lines are invisible,

860
00:45:25,719 --> 00:45:29,640
Speaker 1: they're made up, Like the political boundaries aren't real, and

861
00:45:29,680 --> 00:45:33,000
Speaker 1: so like, if the work is being done somewhere, it

862
00:45:33,080 --> 00:45:35,840
Speaker 1: impacts the planet in.

863
00:45:35,719 --> 00:45:37,240
Speaker 3: This solar system.

864
00:45:37,320 --> 00:45:41,279
Speaker 1: Like it's like the extent the scale of the issues

865
00:45:41,400 --> 00:45:46,360
Speaker 1: is large, but the scale of the like American political

866
00:45:46,400 --> 00:45:49,880
Speaker 1: systems influence on this is much smaller. So I often

867
00:45:49,880 --> 00:45:52,040
Speaker 1: find myself being like, you know what, Like sure I

868
00:45:52,040 --> 00:45:53,919
Speaker 1: have you know, dear friends, and I went to grad

869
00:45:53,960 --> 00:45:55,799
Speaker 1: school with who I had just spent time with, who

870
00:45:55,800 --> 00:45:59,000
Speaker 1: are Like I was working at the White House just

871
00:45:59,120 --> 00:46:01,840
Speaker 1: moments ago my eyes, and now I'm being recruited to

872
00:46:01,920 --> 00:46:06,280
Speaker 1: work in France on these exact same issues that impact

873
00:46:06,600 --> 00:46:11,920
Speaker 1: the planet, you know. So I'm encouraged that there are

874
00:46:12,280 --> 00:46:14,760
Speaker 1: jobs waiting for people somewhere.

875
00:46:14,680 --> 00:46:16,640
Speaker 4: Right, because it's not like science is done.

876
00:46:16,920 --> 00:46:19,960
Speaker 1: Yeah, not everyone has the ability to like just make

877
00:46:20,000 --> 00:46:23,279
Speaker 1: that huge change and work elsewhere, right, So like not

878
00:46:23,400 --> 00:46:28,080
Speaker 1: everyone can take those opportunities, but I'm encouraged that the

879
00:46:28,200 --> 00:46:29,360
Speaker 1: work can still go on.

880
00:46:30,480 --> 00:46:33,080
Speaker 2: Yeah, all right, we should take a quick break. We'll

881
00:46:33,080 --> 00:46:37,120
Speaker 2: come back, we'll talk about something stupid. Instead, we'll be right.

882
00:46:36,960 --> 00:46:49,360
Speaker 5: Back and we're back. We're back.

883
00:46:49,680 --> 00:46:54,880
Speaker 2: Let's talk about Andy Byron, the CEO from the coldplate

884
00:46:55,000 --> 00:47:00,840
Speaker 2: kiss cam incident. So he stepped down Astronomer company. Is

885
00:47:00,840 --> 00:47:04,040
Speaker 2: that what it's called? Yestronomer quickly tried to say face

886
00:47:04,120 --> 00:47:07,839
Speaker 2: by hiring Chris Martin's ex Gwyneth Paltrow to be their

887
00:47:07,960 --> 00:47:12,520
Speaker 2: temporary spokesperson. Just had a video. I've been hired on

888
00:47:12,560 --> 00:47:15,880
Speaker 2: a very temporary basis to speak on behalf of the

889
00:47:15,920 --> 00:47:19,920
Speaker 2: three hundred plus employees at Astronomer. I don't know like

890
00:47:20,040 --> 00:47:24,480
Speaker 2: what they were trying to like communicate, basically, like stop

891
00:47:24,520 --> 00:47:25,560
Speaker 2: asking him questions.

892
00:47:25,560 --> 00:47:26,759
Speaker 4: Hold on, we got to see this.

893
00:47:27,120 --> 00:47:31,160
Speaker 6: Thank you for your interest in Astronomer. Hi, I'm Gwyneth Paltrow.

894
00:47:31,719 --> 00:47:34,880
Speaker 6: I'm oh, no, a very temporary basis to speak on

895
00:47:34,920 --> 00:47:38,680
Speaker 6: behalf of the three hundred plus employees it Astronomer. Astronomer

896
00:47:38,719 --> 00:47:41,840
Speaker 6: has gotten a lot of questions over the last few days,

897
00:47:42,280 --> 00:47:44,400
Speaker 6: and I wanted me to answer the most common ones.

898
00:47:46,800 --> 00:47:47,719
Speaker 2: Oh my god, what's that?

899
00:47:48,040 --> 00:47:48,440
Speaker 4: Actual?

900
00:47:48,680 --> 00:47:50,759
Speaker 6: The best place to run a patchy airflow?

901
00:47:51,000 --> 00:47:54,919
Speaker 4: Okay, all right, all right, no, sorry, Gwyneth. I mean

902
00:47:55,960 --> 00:47:59,040
Speaker 4: part of me is like I get like sort of

903
00:47:59,040 --> 00:48:01,880
Speaker 4: the Internet culture of it all, but this also just

904
00:48:01,880 --> 00:48:05,480
Speaker 4: seems like so transparently, like like a dumb like, let's

905
00:48:05,480 --> 00:48:07,160
Speaker 4: try and let's try and make this like a fun

906
00:48:07,200 --> 00:48:09,920
Speaker 4: thing really quick and pey Gwyneth Paltrow, who knows how

907
00:48:10,000 --> 00:48:10,799
Speaker 4: much money for that?

908
00:48:10,880 --> 00:48:16,560
Speaker 2: Hyeah right, exactly wow, because she's famously consciously uncoupled from

909
00:48:16,880 --> 00:48:20,319
Speaker 2: the villain in this story. If you ask me, Coldplay

910
00:48:20,440 --> 00:48:25,200
Speaker 2: lead singer Chris Martin, who fucked up by calling out

911
00:48:25,200 --> 00:48:27,360
Speaker 2: that those people were acting weird. He should have just

912
00:48:27,440 --> 00:48:29,719
Speaker 2: kept it moving and been like, oh, never mind, nothing

913
00:48:29,760 --> 00:48:33,680
Speaker 2: to see there. Let's find another couple who might be

914
00:48:34,040 --> 00:48:37,080
Speaker 2: in love with one another, who are actually holding each other.

915
00:48:37,360 --> 00:48:40,400
Speaker 2: There are widespread rumors that Byron is planning on suing

916
00:48:40,440 --> 00:48:44,440
Speaker 2: cold Play for emotional distress and invasion of privacy. Quote.

917
00:48:44,440 --> 00:48:48,000
Speaker 2: He didn't consent to being filmed or publicly humiliated. He

918
00:48:48,040 --> 00:48:49,560
Speaker 2: thinks Coldplay made him a.

919
00:48:49,560 --> 00:48:55,960
Speaker 4: Meme Andy and he come he did. Come on, We

920
00:48:56,040 --> 00:49:00,279
Speaker 4: got to know things like reasonable expectations of privacy. These

921
00:49:00,280 --> 00:49:03,920
Speaker 4: are legal concepts. Do you have a reasonable expectation of

922
00:49:04,040 --> 00:49:06,719
Speaker 4: privacy when you're in the middle of a fucking stadium

923
00:49:06,840 --> 00:49:11,160
Speaker 4: show in public? No, he's like, what about my legal

924
00:49:11,239 --> 00:49:16,200
Speaker 4: right to creep on the low that's being violated? I

925
00:49:16,320 --> 00:49:18,799
Speaker 4: have to sue, do you this is this is like

926
00:49:18,840 --> 00:49:21,040
Speaker 4: a rumor? Is it happening? Because there's so there's been

927
00:49:21,080 --> 00:49:23,600
Speaker 4: so many fake updates about this story, like did you

928
00:49:23,760 --> 00:49:26,280
Speaker 4: did you read the supposed reply from his wife?

929
00:49:26,800 --> 00:49:27,640
Speaker 2: Was that not a real?

930
00:49:27,840 --> 00:49:27,920
Speaker 3: No?

931
00:49:28,640 --> 00:49:30,719
Speaker 4: It read like a yeah, it read like some shit

932
00:49:30,880 --> 00:49:33,160
Speaker 4: like you know Olivia Pope would saying scandal.

933
00:49:33,360 --> 00:49:35,240
Speaker 2: It did read like it was scathing.

934
00:49:36,040 --> 00:49:38,920
Speaker 4: Yes, yeah, but people were like a lot of people

935
00:49:39,000 --> 00:49:41,319
Speaker 4: like I had to go to Snopes to be like

936
00:49:41,520 --> 00:49:43,200
Speaker 4: is this real, and they're like no.

937
00:49:44,360 --> 00:49:47,440
Speaker 1: Wait, am I to jump in on this part? Oh yeah,

938
00:49:47,520 --> 00:49:49,120
Speaker 1: yeah yeah, Well I mean I was gonna say, like,

939
00:49:49,320 --> 00:49:54,920
Speaker 1: part I imagine this has happened before, like at a concert,

940
00:49:55,040 --> 00:49:57,040
Speaker 1: at a sporting event, whatever it is, like like some

941
00:49:57,160 --> 00:49:59,440
Speaker 1: could be sitting at home watching a sporting event and

942
00:49:59,440 --> 00:50:03,200
Speaker 1: see the kiss came and be like no way, Like

943
00:50:03,280 --> 00:50:08,480
Speaker 1: I imagine it's happened before. It just happened to this guy

944
00:50:08,560 --> 00:50:13,160
Speaker 1: who has like money and power, and he's embarrassed. I mean,

945
00:50:13,200 --> 00:50:18,359
Speaker 1: it's really freaking embarrassing, Like TikTok went crazy. That's embarrassing.

946
00:50:18,680 --> 00:50:24,719
Speaker 1: But like dealing with your emotions of being publicly humiliated

947
00:50:24,760 --> 00:50:30,080
Speaker 1: and embarrassed. Like that's different than someone like committing a

948
00:50:30,120 --> 00:50:33,080
Speaker 1: crime against you, right, like like there's something illegal, right,

949
00:50:33,160 --> 00:50:38,680
Speaker 1: Like it sucks, like his life is temporarily ruined, yes,

950
00:50:39,080 --> 00:50:44,560
Speaker 1: and also like that's anyway I like like there's just

951
00:50:44,600 --> 00:50:46,719
Speaker 1: something you know, Like they say, like men will do

952
00:50:46,760 --> 00:50:50,000
Speaker 1: anything except go to therapy, like men will sue coldplay,

953
00:50:50,239 --> 00:50:55,120
Speaker 1: except like repair the trust in their family like relationships.

954
00:50:55,120 --> 00:50:59,759
Speaker 2: To articulate your needs to a partner or yeah, I

955
00:50:59,760 --> 00:51:04,080
Speaker 2: think the money and power of that guy and like

956
00:51:04,160 --> 00:51:06,879
Speaker 2: the head of HR for his company, like is such

957
00:51:06,920 --> 00:51:09,799
Speaker 2: an important part of the story that frequently gets left out.

958
00:51:09,880 --> 00:51:12,400
Speaker 2: Like as this is being covered, people are like, well,

959
00:51:12,480 --> 00:51:15,000
Speaker 2: you don't technically have the right, and like they're comparing it.

960
00:51:15,080 --> 00:51:17,640
Speaker 2: So they're comparing it to this story that happened to

961
00:51:18,160 --> 00:51:21,759
Speaker 2: a guy who like dozed off during a Yankees Red

962
00:51:21,760 --> 00:51:27,359
Speaker 2: Sox game and ESPN just like started like lingering on

963
00:51:27,480 --> 00:51:30,880
Speaker 2: him with the camera and the two like commentators just

964
00:51:30,920 --> 00:51:34,320
Speaker 2: started roasting his ass and like we're just like, Wow,

965
00:51:34,400 --> 00:51:36,360
Speaker 2: this guy must be a fun guy to bring to

966
00:51:36,400 --> 00:51:38,400
Speaker 2: the game, and like, well, I wonder what's going on

967
00:51:38,440 --> 00:51:42,360
Speaker 2: with it? But like it didn't take off, Like it

968
00:51:42,400 --> 00:51:44,920
Speaker 2: didn't become a meme where everyone was like, Aha, that

969
00:51:44,960 --> 00:51:46,400
Speaker 2: guy is fucking sleeping.

970
00:51:46,480 --> 00:51:47,200
Speaker 4: What a loser.

971
00:51:47,680 --> 00:51:51,920
Speaker 2: He brought a lawsuit and they ultimately sided with ESPN

972
00:51:52,000 --> 00:51:54,440
Speaker 2: because I feel like courts in America are just a

973
00:51:54,440 --> 00:51:56,680
Speaker 2: way to side with the people who have the more

974
00:51:56,920 --> 00:51:58,600
Speaker 2: money and power in a lot of cases.

975
00:51:59,000 --> 00:52:00,880
Speaker 1: But also it's like, I mean, I don't know, I

976
00:52:01,360 --> 00:52:03,839
Speaker 1: do not know about the law, but I feel like

977
00:52:04,560 --> 00:52:06,719
Speaker 1: if you read the fine print when you buy your

978
00:52:06,800 --> 00:52:10,200
Speaker 1: ticket to the game, like somewhere there says like things

979
00:52:10,239 --> 00:52:13,719
Speaker 1: are going to be recorded, like so you're opting into this,

980
00:52:14,760 --> 00:52:17,600
Speaker 1: you know. And anyway, like there was remember I remember

981
00:52:17,600 --> 00:52:20,680
Speaker 1: in the oh she's like twenty twenty four or some

982
00:52:20,920 --> 00:52:24,480
Speaker 1: part of the campaign. I forget who is campaign, but

983
00:52:24,520 --> 00:52:27,680
Speaker 1: I think it's like maybe a Kamala Harris like event,

984
00:52:28,440 --> 00:52:32,520
Speaker 1: and like there's all this rhetoric about like childless cat ladies, right,

985
00:52:32,600 --> 00:52:35,720
Speaker 1: like she's childless and blah blah blah, and like I forget.

986
00:52:35,800 --> 00:52:38,080
Speaker 1: I think like like she was refuting that and she

987
00:52:38,160 --> 00:52:41,400
Speaker 1: was like and we're not childless cat ladies or something,

988
00:52:41,480 --> 00:52:44,680
Speaker 1: and they like flashed to the woman, a random woman

989
00:52:44,719 --> 00:52:48,799
Speaker 1: in the audience, like just because they're everything she says,

990
00:52:48,800 --> 00:52:50,759
Speaker 1: they're going to flash to the audience. But like it

991
00:52:50,880 --> 00:52:52,640
Speaker 1: was like I don't know, it was on my TikTok

992
00:52:52,680 --> 00:52:55,520
Speaker 1: for a while. Lad like, wait a second, are looking

993
00:52:55,600 --> 00:52:55,880
Speaker 1: at me?

994
00:52:57,880 --> 00:52:58,360
Speaker 5: Why?

995
00:52:58,840 --> 00:52:59,000
Speaker 3: Right?

996
00:53:00,520 --> 00:53:03,440
Speaker 2: And even if we are childless cat Ladies back to

997
00:53:03,480 --> 00:53:05,120
Speaker 2: the woman, you know, and.

998
00:53:06,800 --> 00:53:08,640
Speaker 1: Yeah, one of those things where it's like I don't

999
00:53:08,680 --> 00:53:11,400
Speaker 1: know if you're at a public thing that's being filmed

1000
00:53:11,800 --> 00:53:17,680
Speaker 1: for national television or for whatever, like like you have

1001
00:53:17,760 --> 00:53:20,840
Speaker 1: to I don't know. I just can't imagine. It's not

1002
00:53:21,000 --> 00:53:23,520
Speaker 1: in the fine. But that doesn't mean you can't be

1003
00:53:23,600 --> 00:53:26,719
Speaker 1: mad as hell. You can be really upset about it.

1004
00:53:26,760 --> 00:53:29,480
Speaker 1: You could be like furious. You can release a statement

1005
00:53:29,520 --> 00:53:34,799
Speaker 1: saying I feel violated. I feel that like express your feelings, right,

1006
00:53:34,960 --> 00:53:39,200
Speaker 1: and that's okay, but like trying to like recreate how

1007
00:53:39,280 --> 00:53:43,439
Speaker 1: society does concerts. I think, I personally think just taking

1008
00:53:43,480 --> 00:53:45,799
Speaker 1: it too far. Also like you'repeating on your wife and

1009
00:53:45,840 --> 00:53:47,560
Speaker 1: so like, and.

1010
00:53:47,480 --> 00:53:51,439
Speaker 2: Then made it so evident in your response. I do. Yeah,

1011
00:53:51,640 --> 00:53:54,200
Speaker 2: Just like I know there's like legalities involved that I'm

1012
00:53:54,200 --> 00:53:56,920
Speaker 2: not like the person to answer, but just like in

1013
00:53:56,960 --> 00:54:00,839
Speaker 2: the court of public opinion, making fun of somebody for like,

1014
00:54:00,880 --> 00:54:03,319
Speaker 2: which is like very vulnerable and like could be a

1015
00:54:03,360 --> 00:54:06,960
Speaker 2: sign of il and like they're just going to town

1016
00:54:07,040 --> 00:54:10,560
Speaker 2: on his ass. Like it feels much different than like

1017
00:54:10,680 --> 00:54:13,960
Speaker 2: a CEO, like we've talked before, Like I do connect

1018
00:54:14,000 --> 00:54:20,279
Speaker 2: this to like the Luigimanngioni story, the submarine implosion, and

1019
00:54:20,400 --> 00:54:23,640
Speaker 2: like all these things that are bubbled the Epstein, like

1020
00:54:23,760 --> 00:54:26,080
Speaker 2: the obsession with Epstein thing, all these things that are

1021
00:54:26,080 --> 00:54:29,560
Speaker 2: like bubbling up in the news where there's something that

1022
00:54:29,760 --> 00:54:35,200
Speaker 2: implicates or embarrasses the wealthy and the powerful, and there's

1023
00:54:35,320 --> 00:54:39,759
Speaker 2: just this like uproar of like attention and fascination and

1024
00:54:39,840 --> 00:54:43,800
Speaker 2: obsession with it, and the media is just like, huh, anyways,

1025
00:54:43,840 --> 00:54:46,439
Speaker 2: I guess they like embarrassing people. And it's like, no,

1026
00:54:46,480 --> 00:54:48,120
Speaker 2: they like embarrassing CEOs.

1027
00:54:48,239 --> 00:54:48,879
Speaker 5: They're mad.

1028
00:54:49,440 --> 00:54:53,520
Speaker 2: Everybody is furious at people with power because they know

1029
00:54:53,600 --> 00:54:57,080
Speaker 2: what they're doing to the fucking world around us, like

1030
00:54:57,120 --> 00:55:01,760
Speaker 2: they and it's just this oblivion. This is like feigned

1031
00:55:01,800 --> 00:55:03,560
Speaker 2: obliviousness by the mainstream media.

1032
00:55:03,640 --> 00:55:05,800
Speaker 1: And I will say, all the examples you gave are real,

1033
00:55:06,200 --> 00:55:10,640
Speaker 1: and they're all very male centered, right, Like it's like

1034
00:55:10,920 --> 00:55:14,000
Speaker 1: this man did this, this man experience this, this man,

1035
00:55:14,160 --> 00:55:16,960
Speaker 1: this man this man, this man, and so like, I

1036
00:55:17,120 --> 00:55:20,040
Speaker 1: believe that as a woman in today's society, like my

1037
00:55:20,120 --> 00:55:23,440
Speaker 1: attention is mainly elsewhere, but also as a woman in

1038
00:55:23,480 --> 00:55:30,640
Speaker 1: today's society, like like women generally are like more compassionate,

1039
00:55:30,920 --> 00:55:34,719
Speaker 1: like more community centered, like like I always try to

1040
00:55:34,800 --> 00:55:38,760
Speaker 1: envision like a near future where like, you know, women

1041
00:55:38,920 --> 00:55:41,200
Speaker 1: are the people in power and society. Like I'm not

1042
00:55:41,200 --> 00:55:44,399
Speaker 1: saying that things might be very different, but but if

1043
00:55:44,400 --> 00:55:46,960
Speaker 1: you think about like the way the media is like

1044
00:55:47,120 --> 00:55:50,960
Speaker 1: about like capitalizing on the embarrassment of folks, It's like

1045
00:55:51,000 --> 00:55:54,800
Speaker 1: it's kind of like a hyper masculine like let's hurt people,

1046
00:55:54,880 --> 00:55:57,440
Speaker 1: Let's make people feel bad, Let's like stick it to them.

1047
00:55:57,520 --> 00:56:01,240
Speaker 1: Let's like, oh, like CEOs are probably mablematic like instead

1048
00:56:01,280 --> 00:56:05,680
Speaker 1: of solving the problems, let's hurt them, you know. And

1049
00:56:05,719 --> 00:56:09,440
Speaker 1: so like like I'm all about like the problems, like

1050
00:56:09,560 --> 00:56:13,440
Speaker 1: I want to like deconstruct all of these systems right

1051
00:56:13,480 --> 00:56:16,879
Speaker 1: and rebuild them. But I also like hate to see

1052
00:56:16,920 --> 00:56:21,279
Speaker 1: people feeling sad or bad or hurt or embarrassed. And

1053
00:56:21,360 --> 00:56:24,520
Speaker 1: I think that there's so many ways that we could

1054
00:56:24,840 --> 00:56:26,759
Speaker 1: we as a society, could go about these things in

1055
00:56:26,800 --> 00:56:29,279
Speaker 1: another way. And I also believe that people love to

1056
00:56:29,320 --> 00:56:32,359
Speaker 1: see love and happiness in the media, right like when

1057
00:56:32,440 --> 00:56:35,920
Speaker 1: like suddenly there's some story that is like lovely, you know,

1058
00:56:36,120 --> 00:56:38,600
Speaker 1: or like that's why people go to like cute animals and.

1059
00:56:38,520 --> 00:56:40,880
Speaker 3: Stuff like that, like like it's just better.

1060
00:56:41,520 --> 00:56:44,799
Speaker 1: And so I wish that that being good to each

1061
00:56:44,840 --> 00:56:47,399
Speaker 1: other like would rise to the top a little more

1062
00:56:47,440 --> 00:56:49,160
Speaker 1: than being nasty to each.

1063
00:56:49,000 --> 00:56:53,120
Speaker 4: Other's No, I think, like to that point about talking

1064
00:56:53,120 --> 00:56:55,279
Speaker 4: about like what the issues are, it's because we have

1065
00:56:55,440 --> 00:56:59,080
Speaker 4: such most Americans aren't able to like really articulate any

1066
00:56:59,160 --> 00:57:02,120
Speaker 4: level of class conscientess. So we get stuck at.

1067
00:57:01,960 --> 00:57:05,680
Speaker 2: The ooh, the CEO because.

1068
00:57:06,120 --> 00:57:09,480
Speaker 4: We're not talking enough about how we are exploited for

1069
00:57:09,560 --> 00:57:12,720
Speaker 4: our labor by the hyper wealthy, and we are still

1070
00:57:12,719 --> 00:57:15,360
Speaker 4: divided along these like the political lines and things and

1071
00:57:15,400 --> 00:57:17,880
Speaker 4: completely missing the forest for the trees in which it's

1072
00:57:17,920 --> 00:57:21,920
Speaker 4: like it's class consciousness, that's community. We all need to

1073
00:57:21,960 --> 00:57:23,440
Speaker 4: be looking upward, you.

1074
00:57:23,400 --> 00:57:26,800
Speaker 1: Know, not to make it about me and my work,

1075
00:57:27,000 --> 00:57:30,760
Speaker 1: but exactly what you're saying shows up in wildlife conservation

1076
00:57:30,920 --> 00:57:34,200
Speaker 1: in terms of the people or the communities that are

1077
00:57:34,240 --> 00:57:37,560
Speaker 1: like against it. And let's use the United States as

1078
00:57:37,560 --> 00:57:40,200
Speaker 1: an example. I often if I'm traveling like I have

1079
00:57:40,240 --> 00:57:44,120
Speaker 1: spent fifteen years studying bears in rural North America, and

1080
00:57:44,160 --> 00:57:47,200
Speaker 1: if I'm traveling to places where like, oh, there's bears,

1081
00:57:47,320 --> 00:57:49,960
Speaker 1: or potentially this could be good bear habitat, and there

1082
00:57:49,960 --> 00:57:53,080
Speaker 1: are folks, let's say, cattle ranchers, you know, in rural

1083
00:57:53,160 --> 00:57:57,000
Speaker 1: parts of the West who live there, who are against

1084
00:57:57,240 --> 00:58:02,480
Speaker 1: like protecting habitat or or just changing things to make

1085
00:58:02,520 --> 00:58:07,000
Speaker 1: it better for wild animals. It almost always comes down

1086
00:58:07,320 --> 00:58:11,200
Speaker 1: to class issues, to the fact that they are paycheck

1087
00:58:11,280 --> 00:58:13,840
Speaker 1: to paycheck, to the fact that their kids don't want

1088
00:58:13,880 --> 00:58:16,800
Speaker 1: to take over the family business of running cattle and

1089
00:58:16,920 --> 00:58:19,880
Speaker 1: instead want to go to a city or go to

1090
00:58:19,920 --> 00:58:22,479
Speaker 1: college and like do something else. Like it's the fact

1091
00:58:22,520 --> 00:58:25,880
Speaker 1: that like America used to support farmers in a different

1092
00:58:25,920 --> 00:58:28,080
Speaker 1: way than they do now. It's the fact that their

1093
00:58:28,360 --> 00:58:30,400
Speaker 1: land is so degraded they don't know if they can

1094
00:58:30,440 --> 00:58:33,280
Speaker 1: have another harvest. Like it's so much easier to get

1095
00:58:33,320 --> 00:58:36,280
Speaker 1: angry at a grizzly bear or a wool or a

1096
00:58:36,320 --> 00:58:40,080
Speaker 1: mountain lion than it is an economy, you know, or

1097
00:58:40,120 --> 00:58:43,280
Speaker 1: a system that is failing you. And so you know,

1098
00:58:43,560 --> 00:58:45,760
Speaker 1: I find that, like, you know, I've worked all over

1099
00:58:45,800 --> 00:58:49,680
Speaker 1: the world and where there are the biggest wildlife conservation

1100
00:58:49,800 --> 00:58:53,920
Speaker 1: issues is also where there's poverty, and it doesn't matter

1101
00:58:53,960 --> 00:58:57,560
Speaker 1: if it's like rural white Americans or parts of you know,

1102
00:58:57,600 --> 00:59:01,280
Speaker 1: East Africa where I've been, but that matters, and like

1103
00:59:01,560 --> 00:59:05,760
Speaker 1: places where there's very well resourced communities, Like it's really

1104
00:59:05,760 --> 00:59:09,040
Speaker 1: easy to talk about like saving animals, right, It's very

1105
00:59:09,080 --> 00:59:10,800
Speaker 1: easy to be like, hey, like if we do this,

1106
00:59:10,880 --> 00:59:13,920
Speaker 1: it'll like help the ecosystem and save these endangered species.

1107
00:59:13,920 --> 00:59:17,080
Speaker 1: And people are like, right on, I'm in you know,

1108
00:59:17,280 --> 00:59:20,120
Speaker 1: and so anyway, I agree with you that they like

1109
00:59:20,160 --> 00:59:23,840
Speaker 1: we are not even as scientists, We are not trained

1110
00:59:23,880 --> 00:59:27,720
Speaker 1: to discuss the like big picture issues right that are

1111
00:59:27,760 --> 00:59:31,120
Speaker 1: impacting these small decisions about like how to help a

1112
00:59:31,200 --> 00:59:33,760
Speaker 1: population off beirs right, right.

1113
00:59:33,600 --> 00:59:36,760
Speaker 4: Exactly, because yeah, like the big macro argument about it

1114
00:59:36,800 --> 00:59:39,120
Speaker 4: is when like we're still I mean at least the media,

1115
00:59:39,200 --> 00:59:41,400
Speaker 4: the mainstream media that most people consume every day, is

1116
00:59:41,400 --> 00:59:44,520
Speaker 4: not equipped to actually inform people about so yeah, like

1117
00:59:44,600 --> 00:59:47,440
Speaker 4: to the point, we'll get very stuck on these like

1118
00:59:47,520 --> 00:59:52,120
Speaker 4: microscopic sort of controversies that feel like winds for like

1119
00:59:52,200 --> 00:59:54,600
Speaker 4: working people because then like, well, at least this rich

1120
00:59:54,680 --> 00:59:59,400
Speaker 4: asshole's suffering because I'm suffering, And that's like, these are

1121
00:59:59,440 --> 01:00:02,880
Speaker 4: the wins we carve out because the real ones. We

1122
01:00:02,920 --> 01:00:05,080
Speaker 4: don't have enough leaders that are able to articulate what

1123
01:00:05,120 --> 01:00:08,040
Speaker 4: that fight is and where our attention should be. So again,

1124
01:00:08,120 --> 01:00:09,600
Speaker 4: it's like, I'm sure this is like the kind of

1125
01:00:09,600 --> 01:00:11,680
Speaker 4: shit the Koch brothers love. They're like, yeah, bro, more

1126
01:00:11,680 --> 01:00:13,800
Speaker 4: of this man, the more they're like being like this

1127
01:00:13,880 --> 01:00:16,560
Speaker 4: fucking guy. And rather than get people getting together, it's like,

1128
01:00:17,000 --> 01:00:20,680
Speaker 4: should working people like be against the hyper wealthy and

1129
01:00:20,800 --> 01:00:23,320
Speaker 4: use our leverage as the workers to like withhold our

1130
01:00:23,400 --> 01:00:25,520
Speaker 4: labor to sort of maybe get some concessions from this

1131
01:00:25,640 --> 01:00:27,840
Speaker 4: society that demands so much from us, but we get

1132
01:00:27,840 --> 01:00:30,840
Speaker 4: so little in return. I don't know, pH fuck it.

1133
01:00:30,920 --> 01:00:32,400
Speaker 4: This guy's at the Colplait concert.

1134
01:00:32,520 --> 01:00:35,080
Speaker 2: Cheat look at him, look at how stupid his facebooks.

1135
01:00:36,080 --> 01:00:38,600
Speaker 4: And I think that's an easier, I think process for

1136
01:00:38,640 --> 01:00:41,880
Speaker 4: people to engage in, because it's engaging because it's immediate.

1137
01:00:42,160 --> 01:00:45,600
Speaker 4: The feeling is immediate, The shot in Freud is immediate.

1138
01:00:46,040 --> 01:00:49,840
Speaker 4: To think of like dismantling the systems, like oppressive systems

1139
01:00:50,040 --> 01:00:53,600
Speaker 4: like capitalism is very abstract and I think requires a

1140
01:00:53,600 --> 01:00:57,440
Speaker 4: lot more, a lot more education and sort of like experience,

1141
01:00:57,960 --> 01:01:00,320
Speaker 4: or not necessarily experience, but just to understand like, oh,

1142
01:01:00,400 --> 01:01:03,600
Speaker 4: this is a completely different kind of process and fight

1143
01:01:03,680 --> 01:01:05,720
Speaker 4: that we're going up against rather than like can we

1144
01:01:05,720 --> 01:01:07,160
Speaker 4: get hajas at the rich people?

1145
01:01:07,680 --> 01:01:11,560
Speaker 2: Yeah, because lived in this system for so long at all,

1146
01:01:11,800 --> 01:01:13,120
Speaker 2: I feel like to a lot of people, it just

1147
01:01:13,160 --> 01:01:16,280
Speaker 2: feels unrealistic that there would we don't even have the

1148
01:01:16,320 --> 01:01:19,520
Speaker 2: imagination to have the idea of like what it would

1149
01:01:19,520 --> 01:01:22,280
Speaker 2: look like to even like push back against that capitalist system.

1150
01:01:22,480 --> 01:01:24,680
Speaker 1: Yeah, so what both of you are saying, we're tired.

1151
01:01:25,080 --> 01:01:27,880
Speaker 1: We like we want a laugh or we want something

1152
01:01:27,920 --> 01:01:32,040
Speaker 1: that like we can just joke around about we as

1153
01:01:32,040 --> 01:01:34,680
Speaker 1: a society. And then also we were Yeah, we're born

1154
01:01:34,880 --> 01:01:37,760
Speaker 1: into Every single person on this planet Earth was born

1155
01:01:37,840 --> 01:01:44,800
Speaker 1: into like this system and has zero examples of, you know,

1156
01:01:44,960 --> 01:01:48,560
Speaker 1: like how to transform it. You know, there has been

1157
01:01:48,560 --> 01:01:51,480
Speaker 1: some societal transformation that's happened in the last century which

1158
01:01:51,520 --> 01:01:57,800
Speaker 1: has been like incredible, you know, but like forward thinking,

1159
01:01:57,840 --> 01:01:59,919
Speaker 1: I mean, we're in a mess, and we're like.

1160
01:02:00,000 --> 01:02:01,400
Speaker 3: A lot of people are just doing their best. A

1161
01:02:01,440 --> 01:02:03,200
Speaker 3: lot of people are just doing their best.

1162
01:02:03,200 --> 01:02:07,040
Speaker 4: And and I think because like we're so consumed with

1163
01:02:07,200 --> 01:02:10,040
Speaker 4: just having to toil to survive a lot of those

1164
01:02:10,080 --> 01:02:12,240
Speaker 4: bigger picture issues, like it's we just don't have the

1165
01:02:12,800 --> 01:02:15,680
Speaker 4: bandwidth to really consider, and I think that's we always

1166
01:02:15,680 --> 01:02:17,560
Speaker 4: talk about it. That's what the lockdowns did for a

1167
01:02:17,560 --> 01:02:20,520
Speaker 4: lot of people, where like yeah, for a second, the

1168
01:02:20,560 --> 01:02:23,680
Speaker 4: machine got turned off and people were like, wait, what

1169
01:02:23,720 --> 01:02:24,400
Speaker 4: the fuck.

1170
01:02:25,160 --> 01:02:27,920
Speaker 2: I think it's either that or we need a zombie apocalypse.

1171
01:02:27,920 --> 01:02:29,520
Speaker 2: Those are the two only options we.

1172
01:02:29,560 --> 01:02:33,080
Speaker 3: Have for I don't want that. I don't want a

1173
01:02:33,200 --> 01:02:34,400
Speaker 3: zombie apocalypse.

1174
01:02:34,480 --> 01:02:37,160
Speaker 1: Like every so often, I like, see, I don't really

1175
01:02:37,200 --> 01:02:38,680
Speaker 1: watch a lot of those movies, but if I do,

1176
01:02:40,160 --> 01:02:44,040
Speaker 1: I don't know. Like I watched Sinners obviously, and like

1177
01:02:44,360 --> 01:02:46,120
Speaker 1: you know, most of the time, I was distracted by

1178
01:02:46,160 --> 01:02:49,600
Speaker 1: how incredible the movie was. But like every so often,

1179
01:02:49,640 --> 01:02:53,040
Speaker 1: I was like, what would I do? You know, Like

1180
01:02:53,120 --> 01:02:56,600
Speaker 1: if there was that, I'm like, I wouldn't cover myself

1181
01:02:56,600 --> 01:02:58,960
Speaker 1: with garlic and lock myself away, Like I don't want

1182
01:02:59,000 --> 01:02:59,680
Speaker 1: no problems.

1183
01:02:59,720 --> 01:03:02,040
Speaker 3: I do not. I don't know what I would.

1184
01:03:02,040 --> 01:03:04,640
Speaker 1: I would like like hitch a ride in a car

1185
01:03:04,720 --> 01:03:07,760
Speaker 1: and go far away. I don't want a zombie apocalypse.

1186
01:03:07,800 --> 01:03:10,160
Speaker 1: I am like not equipped for that. I don't I

1187
01:03:10,200 --> 01:03:10,919
Speaker 1: don't want to fight.

1188
01:03:11,600 --> 01:03:14,440
Speaker 2: I do think a zombie apocalypse is our answer to

1189
01:03:14,760 --> 01:03:17,320
Speaker 2: like trying to get a walkable city. That's what That's

1190
01:03:17,360 --> 01:03:20,480
Speaker 2: why people fantasize about zombie apocalypses. They're like, what if

1191
01:03:20,520 --> 01:03:23,120
Speaker 2: like we just like had could like walk everywhere and

1192
01:03:23,280 --> 01:03:25,880
Speaker 2: just like but in big groups, but in big groups

1193
01:03:25,960 --> 01:03:27,640
Speaker 2: like create community.

1194
01:03:28,560 --> 01:03:29,000
Speaker 1: Interests.

1195
01:03:29,760 --> 01:03:32,720
Speaker 4: Zombie horde as the news nature like there's.

1196
01:03:32,600 --> 01:03:34,440
Speaker 2: Always that scene where there's like a deer in the

1197
01:03:34,480 --> 01:03:35,680
Speaker 2: house or something like that.

1198
01:03:35,800 --> 01:03:37,680
Speaker 4: People are like, god, that would be so tight.

1199
01:03:39,760 --> 01:03:42,320
Speaker 2: Well, doctor ray Wyn Grant, such a pleasure having you

1200
01:03:42,400 --> 01:03:47,240
Speaker 2: as always on the daily Zeiitgeist. Where can people find you,

1201
01:03:47,320 --> 01:03:49,920
Speaker 2: follow you, watch you all that good stuff.

1202
01:03:50,040 --> 01:03:52,040
Speaker 1: I'm so happy to say, well, first, thank you for

1203
01:03:52,080 --> 01:03:55,240
Speaker 1: having me, because it's really awesome to chit chat with

1204
01:03:55,280 --> 01:03:59,880
Speaker 1: you guys and be very opinionated with you. I appreciate that.

1205
01:04:00,360 --> 01:04:02,640
Speaker 1: And there's I'm very fortunate to say there's a lot

1206
01:04:02,680 --> 01:04:06,520
Speaker 1: of places where you can find me so I host.

1207
01:04:06,800 --> 01:04:10,200
Speaker 1: You know, season four of my all time favorite podcast

1208
01:04:10,600 --> 01:04:12,880
Speaker 1: is out. It's called Going Wild to Doctor ray Win Grant.

1209
01:04:12,920 --> 01:04:14,640
Speaker 1: You can listen to it wherever you get your podcasts.

1210
01:04:14,640 --> 01:04:18,400
Speaker 1: It's hit podcasts with crazy stories that will blow your

1211
01:04:18,400 --> 01:04:22,320
Speaker 1: mind from people who work with wild animals, including myself.

1212
01:04:22,600 --> 01:04:25,560
Speaker 1: You can also find me every Saturday morning on NBC

1213
01:04:26,080 --> 01:04:28,880
Speaker 1: on the television show a co host which is called

1214
01:04:29,080 --> 01:04:33,320
Speaker 1: Mutual Omaha's Wild Kingdom Protecting the Wild. So if you

1215
01:04:33,320 --> 01:04:37,640
Speaker 1: want to see me like swimming with sharks or like

1216
01:04:38,320 --> 01:04:42,640
Speaker 1: you know, releasing bald eagles or playing with spider monkeys

1217
01:04:42,680 --> 01:04:44,000
Speaker 1: and rainforests, that is.

1218
01:04:43,960 --> 01:04:44,680
Speaker 3: A place to go.

1219
01:04:45,320 --> 01:04:47,680
Speaker 1: You can also find me on social media at ray

1220
01:04:47,720 --> 01:04:51,280
Speaker 1: Win Grant across all platforms. And I have a book.

1221
01:04:51,400 --> 01:04:53,240
Speaker 1: I have a wonderful book that I'm really proud of.

1222
01:04:53,280 --> 01:04:58,000
Speaker 1: It's called wild Life by Me ray Win Grant, and

1223
01:04:58,160 --> 01:05:00,360
Speaker 1: the hardcover has been out since last year and the

1224
01:05:00,400 --> 01:05:05,000
Speaker 1: paperback comes out next month. So lots of ways to

1225
01:05:05,120 --> 01:05:06,880
Speaker 1: buy me and learn about my work.

1226
01:05:06,960 --> 01:05:07,919
Speaker 2: Go check it all out.

1227
01:05:08,400 --> 01:05:09,840
Speaker 4: Was Swimming with Sharks school?

1228
01:05:10,840 --> 01:05:14,640
Speaker 1: So cool? So cool? I mean so one of the

1229
01:05:14,680 --> 01:05:17,560
Speaker 1: goals we had for this episode of Wild Kingdom was

1230
01:05:17,640 --> 01:05:20,080
Speaker 1: to really show people that like sharks are afraid of people,

1231
01:05:20,440 --> 01:05:24,800
Speaker 1: like great white sharks on down like they like, you know,

1232
01:05:25,240 --> 01:05:28,240
Speaker 1: shark attacks are rare and there's usually a reason behind them,

1233
01:05:28,240 --> 01:05:32,000
Speaker 1: but sharks just exist. There's gazillions of them mountain the ocean,

1234
01:05:32,040 --> 01:05:35,160
Speaker 1: and they are afraid of people. Who did this also

1235
01:05:35,240 --> 01:05:38,360
Speaker 1: with our wolf episode, We're like wolves are afraid of people,

1236
01:05:38,440 --> 01:05:41,480
Speaker 1: We'll prove it by being with them. And so swimming

1237
01:05:41,480 --> 01:05:44,240
Speaker 1: with sharks, I mean, we obviously didn't have bait, you know,

1238
01:05:44,320 --> 01:05:47,920
Speaker 1: with us, there was nothing to eat, and so we

1239
01:05:47,920 --> 01:05:51,720
Speaker 1: were in the middle of the Caribbean Ocean off of

1240
01:05:52,080 --> 01:05:55,360
Speaker 1: the Bahamas I guess the Atlantic Ocean off of the Bahamas,

1241
01:05:55,520 --> 01:05:58,760
Speaker 1: and found a spot where they were doing some data

1242
01:05:58,760 --> 01:06:01,400
Speaker 1: collection on all kinds of sharks and we were in

1243
01:06:01,520 --> 01:06:03,760
Speaker 1: the open ocean, deep.

1244
01:06:03,640 --> 01:06:05,640
Speaker 3: Water with sharks.

1245
01:06:06,240 --> 01:06:08,560
Speaker 1: It was it was a little scary, but it was

1246
01:06:08,600 --> 01:06:12,880
Speaker 1: also super super cool, amazing. Sharks don't eat every day also,

1247
01:06:12,920 --> 01:06:14,920
Speaker 1: so it's like, anyway, I have like all these shark facts,

1248
01:06:14,920 --> 01:06:18,560
Speaker 1: but like if they're full, they're just mining their own business,

1249
01:06:18,640 --> 01:06:22,440
Speaker 1: swimming around like they just they're not like these like attackers,

1250
01:06:22,600 --> 01:06:22,840
Speaker 1: you know.

1251
01:06:23,440 --> 01:06:25,440
Speaker 4: I know. Yeah, every I feel like every year during

1252
01:06:25,680 --> 01:06:28,600
Speaker 4: the Shark Week, we always do our usual. Shame on you,

1253
01:06:28,720 --> 01:06:29,840
Speaker 4: Steven Stielberg.

1254
01:06:30,720 --> 01:06:32,000
Speaker 2: Yeah, have you seen.

1255
01:06:31,800 --> 01:06:34,360
Speaker 4: The Shark Week stuff they put out this year? Dancing

1256
01:06:34,400 --> 01:06:36,040
Speaker 4: with the Sharks, Dancing with Sharks.

1257
01:06:36,120 --> 01:06:39,560
Speaker 1: No, it So do not consume a lot of wildlife

1258
01:06:39,720 --> 01:06:41,160
Speaker 1: content in my free time.

1259
01:06:41,440 --> 01:06:44,040
Speaker 4: This is not even wildlife. That that's that's a that

1260
01:06:44,160 --> 01:06:47,520
Speaker 4: is so that's euphemistic to even call this wildlife. This

1261
01:06:47,560 --> 01:06:49,560
Speaker 4: is this is like nonsense.

1262
01:06:49,840 --> 01:06:51,120
Speaker 2: Oh it is wild.

1263
01:06:51,680 --> 01:06:54,360
Speaker 4: Yeah, it is a wild it's a wildlife we're living

1264
01:06:54,440 --> 01:06:54,760
Speaker 4: right now.

1265
01:06:54,800 --> 01:06:56,960
Speaker 2: Man. Is there a work of media that you've been

1266
01:06:57,040 --> 01:07:00,000
Speaker 2: enjoying beyond your own? Of course?

1267
01:07:00,800 --> 01:07:03,960
Speaker 1: Yeah, I think this counts Beyonce.

1268
01:07:04,760 --> 01:07:05,800
Speaker 2: Mm hmmm hmm.

1269
01:07:06,160 --> 01:07:10,280
Speaker 1: I think enough said like, she obviously sings, but she

1270
01:07:10,520 --> 01:07:14,080
Speaker 1: is more than that. Like her and her tour and

1271
01:07:14,120 --> 01:07:19,640
Speaker 1: her brand is like extremely visual and provocative in the visuals.

1272
01:07:19,840 --> 01:07:22,840
Speaker 1: And I was able to see her on tour a

1273
01:07:22,880 --> 01:07:26,080
Speaker 1: couple of times this year and h.

1274
01:07:26,120 --> 01:07:29,640
Speaker 4: And saw multiple Cowboys. Wait you saw multiple Cowboy Carter shops?

1275
01:07:30,880 --> 01:07:31,360
Speaker 2: I did?

1276
01:07:31,720 --> 01:07:32,960
Speaker 4: Okay, doctor Ray.

1277
01:07:33,200 --> 01:07:36,120
Speaker 1: Okay, listen. My first concert ever in my whole life

1278
01:07:36,400 --> 01:07:39,440
Speaker 1: was Destiny's Child when I was fifteen. Wow, so like

1279
01:07:39,920 --> 01:07:42,600
Speaker 1: and they were like fifteen, I don't know the same age,

1280
01:07:42,840 --> 01:07:48,320
Speaker 1: and so yeah, I don't miss a show. But anyway,

1281
01:07:48,360 --> 01:07:50,480
Speaker 1: that's what comes to mind first, is I'm like, all

1282
01:07:50,560 --> 01:07:52,320
Speaker 1: about Beyonce.

1283
01:07:52,760 --> 01:07:54,600
Speaker 4: Did you think I saw the Cowboy Carter tour and

1284
01:07:54,600 --> 01:07:56,400
Speaker 4: I saw Jack when I came back, I said Jack

1285
01:07:56,640 --> 01:08:00,120
Speaker 4: smoking is back, because she.

1286
01:08:00,160 --> 01:08:02,240
Speaker 1: Was like smoking cigarettes and rocking.

1287
01:08:02,840 --> 01:08:08,040
Speaker 4: But like, yeah, I was like, okay, cigarettes are back'll

1288
01:08:08,120 --> 01:08:12,880
Speaker 4: Beyonce slow clapped. It was I was like nudging my watch,

1289
01:08:13,280 --> 01:08:15,440
Speaker 4: cigarettes They're back. I'm telling you, Beyonce.

1290
01:08:15,600 --> 01:08:18,479
Speaker 3: Just she just see her doing no vape?

1291
01:08:19,320 --> 01:08:22,160
Speaker 4: No no, no, no, no, none of that. Did you

1292
01:08:22,200 --> 01:08:23,760
Speaker 4: did you hear about the things but that the hard

1293
01:08:23,840 --> 01:08:25,559
Speaker 4: drive got stolen at that Atlanta show with all her

1294
01:08:25,640 --> 01:08:29,320
Speaker 4: music on it? She had music, Yeah, and I wonder

1295
01:08:29,400 --> 01:08:33,160
Speaker 4: what that process. Yeah, I mean probably yeah, the CI whatever,

1296
01:08:33,200 --> 01:08:35,760
Speaker 4: the Beyonce c i A probably was on that. And

1297
01:08:35,800 --> 01:08:39,160
Speaker 4: immediately they're like, yeah, this person has probably got a

1298
01:08:39,200 --> 01:08:40,640
Speaker 4: handsome check or something.

1299
01:08:40,920 --> 01:08:43,839
Speaker 2: Or belongs to the intelligence community, you know, yeah, exactly.

1300
01:08:44,280 --> 01:08:47,240
Speaker 2: Quote Ala Costa miles where can people find you as

1301
01:08:47,280 --> 01:08:49,080
Speaker 2: their working media? You've been enjoying.

1302
01:08:49,040 --> 01:08:52,320
Speaker 4: Find me everywhere at miles of Gray, find me talking

1303
01:08:52,320 --> 01:08:56,160
Speaker 4: about ninety day fiance on four twenty day fiance with

1304
01:08:56,280 --> 01:09:00,920
Speaker 4: Sophia Alexandra a couple. You know, this one is just

1305
01:09:00,960 --> 01:09:03,479
Speaker 4: really good. This is just a post on blue Sky

1306
01:09:03,600 --> 01:09:06,720
Speaker 4: at Rusty five four Sky on social It's a it's

1307
01:09:06,720 --> 01:09:09,160
Speaker 4: a quote from Martin L. Dart and says did you know.

1308
01:09:09,200 --> 01:09:11,600
Speaker 4: Why do you know why we can fly a helicopter

1309
01:09:11,680 --> 01:09:13,720
Speaker 4: on Mars but we can't keep the lights on in

1310
01:09:13,760 --> 01:09:17,760
Speaker 4: Texas because scientists are in charge of Mars and Republicans

1311
01:09:17,840 --> 01:09:24,080
Speaker 4: are in charge of Texas. Get it? Republicans just like understanding, right,

1312
01:09:24,240 --> 01:09:26,720
Speaker 4: Like you know when you when you center that the

1313
01:09:26,840 --> 01:09:29,440
Speaker 4: results can be Really it's like, we can fly a helicopter.

1314
01:09:29,520 --> 01:09:31,599
Speaker 4: What about y'all? What are y'all doing? Non scientists? I

1315
01:09:31,640 --> 01:09:32,519
Speaker 4: can't keep light on?

1316
01:09:34,160 --> 01:09:34,920
Speaker 2: Lights are off.

1317
01:09:35,040 --> 01:09:37,439
Speaker 4: I'm making money though, I'm making money though.

1318
01:09:37,479 --> 01:09:41,960
Speaker 2: Tweet I've been enjoying ringworm on Twitter. Tweeted every crew

1319
01:09:42,040 --> 01:09:44,400
Speaker 2: has the one homie who always gets whipped cream on

1320
01:09:44,439 --> 01:09:48,800
Speaker 2: the tip of his nose when you go out for milkshakes.

1321
01:09:49,080 --> 01:09:52,120
Speaker 2: It's just true. Find me on Twitter, check Underscore BRN

1322
01:09:52,240 --> 01:09:54,320
Speaker 2: on Blue Sky, Jack o B the number one. You

1323
01:09:54,360 --> 01:09:57,960
Speaker 2: can find us on Twitter and Blue Sky at Daily

1324
01:09:58,040 --> 01:10:01,360
Speaker 2: zeike spread the Daily zeikeist on in Instagram. You can

1325
01:10:01,439 --> 01:10:04,400
Speaker 2: go to the description of this episode wherever you're listening

1326
01:10:04,439 --> 01:10:06,800
Speaker 2: to it, and underneath the show description you will find

1327
01:10:06,800 --> 01:10:09,040
Speaker 2: the footnote but which is where we link off to

1328
01:10:09,080 --> 01:10:11,240
Speaker 2: the information that we talked about in today's episode. We

1329
01:10:11,280 --> 01:10:13,240
Speaker 2: also link off to a song that we think you

1330
01:10:13,320 --> 01:10:16,200
Speaker 2: might enjoy, Miles, is there a song that you think

1331
01:10:16,400 --> 01:10:17,200
Speaker 2: people might enjoy?

1332
01:10:17,360 --> 01:10:20,000
Speaker 4: Just more sweaty dance music. I'm just I gotta move.

1333
01:10:20,160 --> 01:10:22,960
Speaker 4: It's summer. You just you want to listen to stuff

1334
01:10:22,960 --> 01:10:24,840
Speaker 4: that gets your shoulders loose your body?

1335
01:10:25,080 --> 01:10:26,400
Speaker 1: Can recommend Beyonce?

1336
01:10:27,040 --> 01:10:29,599
Speaker 2: I mean yes, obviously, now you said she's a singer.

1337
01:10:29,640 --> 01:10:32,960
Speaker 2: I was only familiar with her acting work from the

1338
01:10:33,000 --> 01:10:35,759
Speaker 2: Austin Power sequel or she has.

1339
01:10:35,640 --> 01:10:36,160
Speaker 3: More than that?

1340
01:10:37,560 --> 01:10:39,280
Speaker 4: Did you see the hip hopera Karma?

1341
01:10:39,880 --> 01:10:40,439
Speaker 3: There was also?

1342
01:10:40,560 --> 01:10:43,000
Speaker 1: Wasn't there that like thriller that she did?

1343
01:10:43,479 --> 01:10:43,839
Speaker 2: Yeah?

1344
01:10:43,960 --> 01:10:46,800
Speaker 1: I mean, as far as my fandom goes, I have

1345
01:10:46,960 --> 01:10:48,719
Speaker 1: not seen all of her movies.

1346
01:10:49,120 --> 01:10:51,280
Speaker 2: You have only seen the Austin Powers movies. Those are

1347
01:10:51,280 --> 01:10:54,880
Speaker 2: the only movies I've seen that was with obsessed with?

1348
01:10:55,960 --> 01:11:02,280
Speaker 4: Yes. Yeah, anyway, so we're gonna got on this track

1349
01:11:02,560 --> 01:11:06,760
Speaker 4: from like the sort of electronic duo Bicep, and it's

1350
01:11:06,760 --> 01:11:11,000
Speaker 4: called It's from this. The titles very convoluted. It's Chroma

1351
01:11:12,120 --> 01:11:16,320
Speaker 4: eight Tangs because the album is called Chroma eight and

1352
01:11:16,360 --> 01:11:18,840
Speaker 4: then like they're using this naming convention like we're dealing

1353
01:11:18,840 --> 01:11:22,960
Speaker 4: with like files and anyway, it's dope though it's sweaty,

1354
01:11:23,240 --> 01:11:25,519
Speaker 4: it's gonna be something. It makes you kind of feel

1355
01:11:25,560 --> 01:11:26,920
Speaker 4: like every time I hear it, I feel like I'm

1356
01:11:26,920 --> 01:11:29,639
Speaker 4: watching like a movie with like some like futuristic dance

1357
01:11:29,680 --> 01:11:31,960
Speaker 4: club where there's a bunch of like future alien gangsters

1358
01:11:32,000 --> 01:11:33,760
Speaker 4: and stuff in there. But it's it's got like this.

1359
01:11:34,120 --> 01:11:35,960
Speaker 4: I don't know crime equality twist that I really like.

1360
01:11:36,000 --> 01:11:39,280
Speaker 4: So anyway, this is BICEP with Chromah eight tangs.

1361
01:11:39,600 --> 01:11:40,920
Speaker 2: All right, we will look up to that in the

1362
01:11:40,920 --> 01:11:43,920
Speaker 2: footnotes for the production by Heart Radio. For more podcasts

1363
01:11:43,920 --> 01:11:46,599
Speaker 2: from my Heart Radio, visit the iHeartRadio app, Apple podcast,

1364
01:11:46,680 --> 01:11:48,599
Speaker 2: or wherever you listen to your favorite shows. That's gonna

1365
01:11:48,640 --> 01:11:50,680
Speaker 2: do it for us this morning. We are back this

1366
01:11:50,720 --> 01:11:53,719
Speaker 2: afternoon to tell you what is trending, and we will

1367
01:11:53,760 --> 01:11:54,439
Speaker 2: talk to you all then.

1368
01:11:54,680 --> 01:11:58,280
Speaker 4: Bye bye. The Daily Zeite Guys is executive produced by

1369
01:11:58,360 --> 01:11:59,160
Speaker 4: Catherine Law.

1370
01:11:59,320 --> 01:12:03,320
Speaker 3: Co produced by by Wang, co produced by Victor Wright,

1371
01:12:03,720 --> 01:12:07,680
Speaker 3: co written by J. M mcnapp, edited and engineered by

1372
01:12:07,840 --> 01:12:08,479
Speaker 3: Justin Conner

1373
01:12:12,200 --> 01:12:12,240
Speaker 2: H