1
00:00:00,280 --> 00:00:05,239
Speaker 1: Hello the Internet, and welcome to this episode of Azurige Trends.

2
00:00:05,519 --> 00:00:08,520
Speaker 2: Oh man, my name is Jack O'Brien.

3
00:00:08,680 --> 00:00:11,959
Speaker 1: That over there, well, that is mister Miles Bradna.

4
00:00:12,360 --> 00:00:13,640
Speaker 3: Thank you back.

5
00:00:14,000 --> 00:00:18,360
Speaker 4: Just going through some historical documents from ancient Azgion.

6
00:00:21,440 --> 00:00:24,880
Speaker 2: Oh man, Oh but what a time to be alive.

7
00:00:25,000 --> 00:00:27,280
Speaker 2: How are you doing here? You're on the East coast.

8
00:00:27,520 --> 00:00:29,800
Speaker 3: I'm on the East coast. The weather's crisp.

9
00:00:30,120 --> 00:00:31,720
Speaker 2: It suits you, it does?

10
00:00:32,000 --> 00:00:35,199
Speaker 3: It does? It? Does? It does? I don't know what

11
00:00:35,240 --> 00:00:35,680
Speaker 3: else to say.

12
00:00:35,680 --> 00:00:39,599
Speaker 4: I'm just so overcome with emotion because it's under seventy degrees,

13
00:00:40,120 --> 00:00:40,720
Speaker 4: so I'm like.

14
00:00:40,680 --> 00:00:43,000
Speaker 3: Oh my god, this is this is heaven.

15
00:00:43,560 --> 00:00:48,080
Speaker 1: Just walking through a park, a nice jacket pulling you yeah, exactly,

16
00:00:48,280 --> 00:00:52,680
Speaker 1: having the scarf, no scarf. It's definitely not that cold.

17
00:00:52,680 --> 00:00:54,240
Speaker 4: As much as I want it to be, it is

18
00:00:54,320 --> 00:00:56,560
Speaker 4: not that cold, and I will start sweating and I

19
00:00:56,600 --> 00:00:58,680
Speaker 4: don't want to show up to my mother in law's

20
00:00:58,720 --> 00:01:01,240
Speaker 4: house looking like a sweat show.

21
00:01:03,120 --> 00:01:05,520
Speaker 2: Shut your jacket off at the door. They're like, oh,

22
00:01:05,640 --> 00:01:07,600
Speaker 2: why don't you ring that out before you come in?

23
00:01:08,200 --> 00:01:11,520
Speaker 4: Oh this old jacket, splash this old.

24
00:01:13,440 --> 00:01:13,720
Speaker 3: Mop.

25
00:01:14,000 --> 00:01:16,480
Speaker 1: Well, let's tell the people. A couple of things that

26
00:01:16,520 --> 00:01:20,200
Speaker 1: are trending. We just we're taking a moment before we

27
00:01:20,240 --> 00:01:24,679
Speaker 1: started recording to marvel at the past few days of

28
00:01:24,760 --> 00:01:27,440
Speaker 1: Donald Trump's campaign. We've covered a couple of the highlights.

29
00:01:27,480 --> 00:01:31,880
Speaker 1: But you were playing some audio. We were referenced one

30
00:01:31,920 --> 00:01:34,399
Speaker 1: up top the Azurasians.

31
00:01:34,680 --> 00:01:35,840
Speaker 3: Yeah, yep, yep.

32
00:01:35,880 --> 00:01:40,920
Speaker 2: It was either Arizonans or Assyrians. We don't know. We

33
00:01:40,959 --> 00:01:42,080
Speaker 2: don't know quite yet.

34
00:01:41,880 --> 00:01:43,000
Speaker 3: Which is still a weird thing.

35
00:01:43,800 --> 00:01:46,960
Speaker 4: But okayt shout out ancient Assyria and I know, like

36
00:01:47,000 --> 00:01:49,040
Speaker 4: you were talking about like the music being played at

37
00:01:49,040 --> 00:01:50,640
Speaker 4: that Oakstown hall where.

38
00:01:50,440 --> 00:01:53,280
Speaker 2: He yeah, we talked about the idea.

39
00:01:54,240 --> 00:01:58,400
Speaker 4: Yeah, yeah, yeah, no, but there's just like this moment where,

40
00:01:59,320 --> 00:02:01,280
Speaker 4: you know, before it starts. I don't know if you

41
00:02:01,320 --> 00:02:04,320
Speaker 4: got to that clip where Christy Nome's like, oh, okay,

42
00:02:04,400 --> 00:02:06,560
Speaker 4: so do you want to play your special song, babe,

43
00:02:07,040 --> 00:02:10,320
Speaker 4: and he like was confused. That's what makes the whole thing,

44
00:02:10,720 --> 00:02:13,880
Speaker 4: I think again, I think only the Washington Post really

45
00:02:13,880 --> 00:02:18,040
Speaker 4: had a headline that was like what the fuck just happened?

46
00:02:18,200 --> 00:02:20,480
Speaker 3: In Yeah?

47
00:02:20,520 --> 00:02:22,120
Speaker 4: Yeah, like the New York Times I think did some

48
00:02:22,160 --> 00:02:24,840
Speaker 4: more Saine washing where they're like, I know when Fox

49
00:02:24,919 --> 00:02:28,800
Speaker 4: are like, oh, it's quite an intimate atmosphere prompt improvisational.

50
00:02:28,960 --> 00:02:33,440
Speaker 4: Yeah it Yeah, the dude gave up on life on

51
00:02:33,720 --> 00:02:37,000
Speaker 4: stage and said, just play some real Okay, look, I'll

52
00:02:37,000 --> 00:02:39,359
Speaker 4: play the track because again, I think it's interesting to

53
00:02:39,400 --> 00:02:43,359
Speaker 4: see how that whole situation started, which was Governor Christy

54
00:02:43,400 --> 00:02:45,960
Speaker 4: Noms trying to remind him that this was his weird,

55
00:02:46,000 --> 00:02:50,639
Speaker 4: hair brained idea to just play fucking Conte Patiro by

56
00:02:50,680 --> 00:02:54,400
Speaker 4: Andrea Bucelli and shit, and then we go into this

57
00:02:54,440 --> 00:02:56,480
Speaker 4: like forty minute sundown jam.

58
00:02:56,639 --> 00:02:59,200
Speaker 2: Yeah, so this is what leads into the sundown jam.

59
00:02:59,400 --> 00:03:02,639
Speaker 5: Yeah, have them in this beautiful factory condition.

60
00:03:02,720 --> 00:03:04,200
Speaker 3: Anyway, go ahead, go ahead, Christy.

61
00:03:04,600 --> 00:03:06,360
Speaker 4: Well, sir, do you want to play your song and

62
00:03:06,360 --> 00:03:08,040
Speaker 4: then great a few people or do you want to.

63
00:03:09,880 --> 00:03:11,760
Speaker 5: Well, you had said you wanted to close with a

64
00:03:11,800 --> 00:03:12,680
Speaker 5: specific song.

65
00:03:12,840 --> 00:03:15,799
Speaker 2: Okay, let's show a couple of past questions.

66
00:03:15,360 --> 00:03:18,360
Speaker 5: So justin, how about a couple of really beauties and

67
00:03:18,440 --> 00:03:20,679
Speaker 5: we'll sit down relaxed. Let me just give you the

68
00:03:20,680 --> 00:03:21,720
Speaker 5: bottom line though.

69
00:03:21,720 --> 00:03:24,120
Speaker 4: See, the whole thing was I'm pretty the thing was

70
00:03:24,320 --> 00:03:29,160
Speaker 4: her question answer to yeah that, oh man, I think

71
00:03:29,200 --> 00:03:33,200
Speaker 4: anybody who's had a grandparent who has dealt with dementia

72
00:03:33,200 --> 00:03:36,480
Speaker 4: and things like that, there's like this early phase where

73
00:03:36,480 --> 00:03:39,520
Speaker 4: you're kind of in denial about it. They're a bit

74
00:03:39,560 --> 00:03:42,520
Speaker 4: into like they're very self conscious about the fact that

75
00:03:42,560 --> 00:03:44,240
Speaker 4: they their memory is starting to.

76
00:03:44,240 --> 00:03:44,840
Speaker 3: Change a bit.

77
00:03:45,480 --> 00:03:49,240
Speaker 4: And the tone that Christinoman used, I have definitely used

78
00:03:49,240 --> 00:03:53,560
Speaker 4: that with an elderly grandparent like yeah, memory said.

79
00:03:53,600 --> 00:03:56,320
Speaker 1: I feel but you would not be as condescending as

80
00:03:56,360 --> 00:03:59,800
Speaker 1: she just was, where she was like remember.

81
00:03:59,360 --> 00:04:01,960
Speaker 4: Fuckhead no, But I think it was more to also

82
00:04:02,160 --> 00:04:04,760
Speaker 4: not to be like what you forgot right?

83
00:04:04,960 --> 00:04:05,520
Speaker 3: You know what I mean.

84
00:04:06,240 --> 00:04:08,720
Speaker 4: It's like that's the alternative. It's like, don't tell me

85
00:04:08,760 --> 00:04:11,920
Speaker 4: you forgot this shit already. It's more like oh, she like, nah, Grandma,

86
00:04:12,040 --> 00:04:14,440
Speaker 4: remember how you said we were gonna I know, I know.

87
00:04:14,400 --> 00:04:15,200
Speaker 3: You're playing around.

88
00:04:15,240 --> 00:04:17,640
Speaker 4: Let's okay, let's do And they're like, oh, oh yeah,

89
00:04:17,640 --> 00:04:18,360
Speaker 4: I do remember.

90
00:04:18,400 --> 00:04:18,599
Speaker 3: You know.

91
00:04:18,640 --> 00:04:20,720
Speaker 1: You want to give them the out to be like

92
00:04:20,800 --> 00:04:23,080
Speaker 1: you didn't just completely remember, like forget all this shit,

93
00:04:23,160 --> 00:04:26,479
Speaker 1: did you? And I think that's like the that's like

94
00:04:26,520 --> 00:04:27,400
Speaker 1: that that part kind.

95
00:04:27,320 --> 00:04:28,480
Speaker 3: Of resonated with me a bit.

96
00:04:28,520 --> 00:04:31,200
Speaker 2: The way that was because he's like, what song, yeah,

97
00:04:31,200 --> 00:04:33,200
Speaker 2: and then they played a song.

98
00:04:33,360 --> 00:04:36,799
Speaker 1: She's like, you literally just said fifteenth this song to yeah,

99
00:04:36,880 --> 00:04:39,719
Speaker 1: you want to play the There's also a moment later

100
00:04:40,440 --> 00:04:43,640
Speaker 1: where he you know, like thirty minutes later after he

101
00:04:43,680 --> 00:04:46,520
Speaker 1: plays not just one song, but you know, seven of

102
00:04:46,560 --> 00:04:49,039
Speaker 1: his favorite songs in a row, where he's doing a

103
00:04:49,080 --> 00:04:52,000
Speaker 1: little like hand dance. I think it's during November rain

104
00:04:52,640 --> 00:04:56,040
Speaker 1: and she like starts imitating what he's doing.

105
00:04:56,120 --> 00:04:57,200
Speaker 3: Did you see that part?

106
00:04:57,640 --> 00:05:02,120
Speaker 1: Like I even though she wouldn't knowingly Christina, I think,

107
00:05:02,160 --> 00:05:05,839
Speaker 1: even though she wouldn't knowingly like do anything to antagonize him,

108
00:05:06,240 --> 00:05:09,640
Speaker 1: she is just like, down to her bones, such a

109
00:05:09,800 --> 00:05:14,560
Speaker 1: mean person that she can't be around somebody who's like

110
00:05:14,720 --> 00:05:19,440
Speaker 1: doddering like this without just being an asshole. She's like, sir,

111
00:05:19,920 --> 00:05:23,200
Speaker 1: do you remember, And then she was like imitating his

112
00:05:23,320 --> 00:05:27,800
Speaker 1: shitty dancing, which I don't know. That's she is a

113
00:05:27,839 --> 00:05:32,320
Speaker 1: person who murdered puppies and then instead of like trying

114
00:05:32,360 --> 00:05:35,760
Speaker 1: to erase, like photoshop it out of her brain and

115
00:05:36,000 --> 00:05:38,560
Speaker 1: history bragged about it in her memoir. So it's just

116
00:05:38,920 --> 00:05:42,679
Speaker 1: it's just like interesting to see her with a person

117
00:05:42,720 --> 00:05:46,240
Speaker 1: whose brain is malfunctioning on the point of being a

118
00:05:46,240 --> 00:05:47,240
Speaker 1: little bit helpless.

119
00:05:47,640 --> 00:05:49,479
Speaker 2: The alternative is elder abuse.

120
00:05:50,440 --> 00:05:52,400
Speaker 4: You know, Oh, don't tell me you forgot about the

121
00:05:52,400 --> 00:05:54,840
Speaker 4: fust song you want you want to play some fucking

122
00:05:55,000 --> 00:05:58,320
Speaker 4: weird ass you wanted to play the Pavarotti version of

123
00:05:58,360 --> 00:05:59,359
Speaker 4: its world?

124
00:05:59,440 --> 00:06:03,000
Speaker 2: Really Beau auven Maria like twice?

125
00:06:03,080 --> 00:06:04,359
Speaker 3: Are we? So it is?

126
00:06:04,640 --> 00:06:06,840
Speaker 4: Because then I'm reminded of those videos where like they

127
00:06:06,880 --> 00:06:08,800
Speaker 4: show like people in old folks homes, like they play

128
00:06:08,839 --> 00:06:11,840
Speaker 4: the music like of their youth, and like they like they.

129
00:06:11,520 --> 00:06:14,040
Speaker 2: Get a far off right up, you know, like they kind.

130
00:06:13,880 --> 00:06:15,960
Speaker 3: Of they're like, oh shit, yeah yeah.

131
00:06:16,000 --> 00:06:17,919
Speaker 4: But forty minutes of that was clear that he just

132
00:06:18,000 --> 00:06:21,200
Speaker 4: could not handle doing question and answers. He's just like, lit,

133
00:06:21,360 --> 00:06:22,640
Speaker 4: can I just stand the music?

134
00:06:22,720 --> 00:06:24,360
Speaker 3: Please? Can I take a break? Teacher?

135
00:06:24,800 --> 00:06:28,920
Speaker 2: But then yesterday he had this other rally in Atlanta

136
00:06:29,960 --> 00:06:32,480
Speaker 2: where he's they need to give motherfucker.

137
00:06:32,040 --> 00:06:33,440
Speaker 3: All kinds of weird.

138
00:06:33,800 --> 00:06:37,200
Speaker 4: First of all, he starts off with such low energy

139
00:06:37,240 --> 00:06:41,080
Speaker 4: at this one where he's just like talking about like

140
00:06:41,480 --> 00:06:42,960
Speaker 4: the teleprompter breaking.

141
00:06:43,040 --> 00:06:44,760
Speaker 3: This is this is just hout. This is early in

142
00:06:44,839 --> 00:06:46,920
Speaker 3: the in the rally in Atlanta, Georgia.

143
00:06:47,160 --> 00:06:52,440
Speaker 5: Two days mister congressman thirty two, she's good and the

144
00:06:52,480 --> 00:06:55,880
Speaker 5: election will be in thirty two days.

145
00:06:56,320 --> 00:06:59,360
Speaker 4: He was talking about a teleprompter, talking about a teleprompter, gaff.

146
00:07:00,120 --> 00:07:02,720
Speaker 5: The teleprompter to crash thirty two days.

147
00:07:02,480 --> 00:07:05,960
Speaker 3: She kept going. But even like his hit.

148
00:07:05,839 --> 00:07:08,159
Speaker 5: This love to you know what kickback and it's called

149
00:07:08,160 --> 00:07:11,160
Speaker 5: a kickback, like some people know a lot about a kickback.

150
00:07:11,880 --> 00:07:14,160
Speaker 4: It's called this is like we're just on some Tony

151
00:07:14,200 --> 00:07:18,880
Speaker 4: Morrison beloved stream of consciousness and that's I think I'm

152
00:07:18,960 --> 00:07:20,360
Speaker 4: literary watching.

153
00:07:20,040 --> 00:07:23,960
Speaker 2: His his his mental now he's doing he's doing.

154
00:07:24,440 --> 00:07:26,720
Speaker 1: You know, this is literally this is art. This is

155
00:07:26,760 --> 00:07:29,440
Speaker 1: poetic license and I want you to leave him alone.

156
00:07:29,680 --> 00:07:33,440
Speaker 4: Oh sorry sorry, And then then he talks about World

157
00:07:33,440 --> 00:07:37,440
Speaker 4: War two but makes a sound I have never I have, Well,

158
00:07:37,960 --> 00:07:40,160
Speaker 4: this is this is interesting. This is an interesting way

159
00:07:40,200 --> 00:07:42,400
Speaker 4: of saying big, we.

160
00:07:42,280 --> 00:07:53,200
Speaker 6: Won two beautiful big sorry, too beautiful, big, horrible.

161
00:07:53,160 --> 00:07:59,520
Speaker 1: Too beautiful, Brig, brig, what are you?

162
00:08:01,080 --> 00:08:03,720
Speaker 4: It definitely is Benicio and Escape from Dan and Moore

163
00:08:03,760 --> 00:08:06,480
Speaker 4: of vib Don't.

164
00:08:09,960 --> 00:08:14,040
Speaker 1: His voice well like it feels like he's a animatronic

165
00:08:14,160 --> 00:08:16,760
Speaker 1: that's running out of batteries at very point, like do

166
00:08:16,800 --> 00:08:20,600
Speaker 1: you remembered, yeah, do you remember that having a walkman

167
00:08:20,960 --> 00:08:23,000
Speaker 1: that would like be running out of batteries?

168
00:08:23,200 --> 00:08:24,200
Speaker 2: Was that before your time?

169
00:08:24,640 --> 00:08:26,720
Speaker 3: Like the tape?

170
00:08:26,800 --> 00:08:31,200
Speaker 1: Yeah, yeah, yeah, yeah, like they would blind down and

171
00:08:30,640 --> 00:08:34,000
Speaker 1: then they would like kind of start picking or and

172
00:08:34,040 --> 00:08:36,800
Speaker 1: then like that feels like he feels like he's straight

173
00:08:36,880 --> 00:08:39,480
Speaker 1: up running out of batteries, like the adderall is like

174
00:08:40,000 --> 00:08:41,679
Speaker 1: wearing off and.

175
00:08:41,440 --> 00:08:48,679
Speaker 2: Then coming back in and.

176
00:08:46,520 --> 00:08:47,880
Speaker 3: He can't get his makeup right.

177
00:08:47,880 --> 00:08:50,199
Speaker 4: Then there's another one where he was talking about I

178
00:08:50,200 --> 00:08:52,400
Speaker 4: think he's trying to say insurrectionists here.

179
00:08:52,520 --> 00:08:55,200
Speaker 3: Just again, someone if they can decode this, let me know.

180
00:08:55,440 --> 00:08:57,800
Speaker 5: He walked in with a couple of young constituents to

181
00:08:57,840 --> 00:09:01,480
Speaker 5: show them the capital as I remember it, and they

182
00:09:01,520 --> 00:09:06,120
Speaker 5: accused him of showing in Russia's what And he became

183
00:09:06,280 --> 00:09:09,480
Speaker 5: what I said, of most people, they say, oh please what.

184
00:09:11,800 --> 00:09:17,040
Speaker 1: But like he really seems like it has the vibe

185
00:09:17,080 --> 00:09:21,960
Speaker 1: of I recently went to a show, a concert and

186
00:09:22,040 --> 00:09:27,000
Speaker 1: the singer like the drama of the watching this particular

187
00:09:27,080 --> 00:09:30,320
Speaker 1: band on this particular night was like, is this motherfucker

188
00:09:30,360 --> 00:09:33,880
Speaker 1: like too fucked up to be in public right now?

189
00:09:34,040 --> 00:09:34,160
Speaker 5: Right?

190
00:09:34,559 --> 00:09:38,680
Speaker 1: And like each song you were like always pulled it together,

191
00:09:38,720 --> 00:09:42,880
Speaker 1: for this one it seems to be falling apart, and

192
00:09:43,880 --> 00:09:48,040
Speaker 1: ultimately pulled it together, but it was.

193
00:09:47,720 --> 00:09:49,000
Speaker 3: What the Fuck's going on?

194
00:09:49,600 --> 00:09:52,000
Speaker 1: It was like, Oh, man, is this gonna be really

195
00:09:52,080 --> 00:09:55,880
Speaker 1: sad and like that feels like the experience of watching

196
00:09:56,559 --> 00:10:02,679
Speaker 1: Trump right now. It's like he's just you Ruspin. Yeah,

197
00:10:03,320 --> 00:10:13,040
Speaker 1: but yeah, used him of showing what is I don't know,

198
00:10:13,320 --> 00:10:13,800
Speaker 1: I don't know.

199
00:10:15,160 --> 00:10:18,160
Speaker 4: They just again the fact that there's only like maybe

200
00:10:18,360 --> 00:10:24,720
Speaker 4: one newspaper, yeah, accurately being like, yo, guys, this is

201
00:10:24,800 --> 00:10:27,960
Speaker 4: fucking this is this is bad. This is like I'm

202
00:10:28,000 --> 00:10:31,600
Speaker 4: worried if this was your family, you'd be like, this

203
00:10:31,679 --> 00:10:33,559
Speaker 4: person doesn't need to be doing this.

204
00:10:33,840 --> 00:10:35,480
Speaker 3: The only way I lay down.

205
00:10:35,600 --> 00:10:39,880
Speaker 1: Describe how this story would be treated if it were

206
00:10:40,520 --> 00:10:44,000
Speaker 1: a Democrat doing this ship is this would.

207
00:10:43,840 --> 00:10:49,520
Speaker 4: Be a bird story. Yeah. That's again at the very least.

208
00:10:49,559 --> 00:10:52,120
Speaker 4: I mean, this is how you know where you know

209
00:10:52,200 --> 00:10:54,439
Speaker 4: that that mainstream media is like we're like, we're kind

210
00:10:54,440 --> 00:10:56,640
Speaker 4: of okay with covering for a fascist.

211
00:10:56,679 --> 00:10:58,400
Speaker 3: Okay, like we do it all the time. We don't

212
00:10:58,400 --> 00:10:59,360
Speaker 3: want to freak out people.

213
00:10:59,520 --> 00:11:01,679
Speaker 1: They are like if you want to understand like the

214
00:11:01,720 --> 00:11:03,840
Speaker 1: thought process behind the mainstream media, all you have to

215
00:11:03,840 --> 00:11:06,360
Speaker 1: do is look at the mainstream Democratic Party and like

216
00:11:06,480 --> 00:11:10,040
Speaker 1: they have just let the Republicans set the terms of

217
00:11:10,080 --> 00:11:14,720
Speaker 1: the conversation so profoundly that they've become like the old

218
00:11:15,400 --> 00:11:19,320
Speaker 1: Republican Party. Essentially, they're just like, look at us, we

219
00:11:19,480 --> 00:11:23,880
Speaker 1: got Cheney baby so fucked man, Yeah, so bad.

220
00:11:23,960 --> 00:11:26,520
Speaker 4: I mean it's like both the mirror in the UK

221
00:11:26,760 --> 00:11:29,800
Speaker 4: is like Trump plays favorite music to baffled crowd as

222
00:11:29,960 --> 00:11:33,280
Speaker 4: unhinged ex presidents sways silently for thirty minutes.

223
00:11:33,679 --> 00:11:36,959
Speaker 3: It was actually around thirty seven minutes. Yeah, so be fair.

224
00:11:37,440 --> 00:11:40,600
Speaker 1: Yeah, all right, let's take a quick break and then

225
00:11:40,600 --> 00:11:43,920
Speaker 1: we're going to talk about something that is making me happy.

226
00:11:44,600 --> 00:11:46,760
Speaker 1: I think that's that feeling. I think that's that like

227
00:11:46,840 --> 00:11:48,360
Speaker 1: kind of swelling feeling in my chest.

228
00:11:48,440 --> 00:11:51,000
Speaker 4: Yo, we didn't get Aliens, but we're getting this, and

229
00:11:51,040 --> 00:11:52,080
Speaker 4: this is getting something.

230
00:11:52,120 --> 00:11:53,040
Speaker 3: This is actually better.

231
00:11:53,200 --> 00:11:54,560
Speaker 2: Yeah, this is fun.

232
00:11:54,559 --> 00:11:55,240
Speaker 3: We'll be right back.

233
00:12:05,120 --> 00:12:09,760
Speaker 1: And we're back and we're talking about bird song.

234
00:12:11,720 --> 00:12:13,960
Speaker 2: Wow, you came alive.

235
00:12:14,640 --> 00:12:15,000
Speaker 3: All right.

236
00:12:15,080 --> 00:12:17,760
Speaker 1: So I've been talking about this Merlin app which is

237
00:12:17,800 --> 00:12:19,360
Speaker 1: like Shazam for bird song.

238
00:12:20,679 --> 00:12:22,880
Speaker 3: I really wish you were getting a check from Merlin.

239
00:12:23,120 --> 00:12:27,480
Speaker 1: I know, the most I've ever thrown my weight behind

240
00:12:27,520 --> 00:12:28,960
Speaker 1: a product.

241
00:12:28,520 --> 00:12:32,160
Speaker 2: Ye, so that it's not a like capitalist institution.

242
00:12:32,240 --> 00:12:36,920
Speaker 1: It's like part of Cornell's like science lab, and by

243
00:12:37,160 --> 00:12:41,800
Speaker 1: using it I actually help them because I'm basically recording

244
00:12:41,840 --> 00:12:45,760
Speaker 1: bird song, and it is helping them train an algorithm

245
00:12:46,040 --> 00:12:50,200
Speaker 1: that helps them use any bird song that it hears

246
00:12:50,360 --> 00:12:54,800
Speaker 1: to identify what the bird is. So like, I meditate

247
00:12:54,800 --> 00:12:58,480
Speaker 1: in my backyard every morning and I fire up the Merlin,

248
00:12:58,640 --> 00:13:01,760
Speaker 1: and when I'm done meditating, look over and I've got

249
00:13:01,800 --> 00:13:05,520
Speaker 1: some dark eyed junkos in the backyard.

250
00:13:05,760 --> 00:13:06,160
Speaker 3: I got.

251
00:13:06,200 --> 00:13:09,000
Speaker 2: The names of birds are fucking.

252
00:13:09,440 --> 00:13:12,280
Speaker 4: I know when you when you learn about the animal kingdom,

253
00:13:12,280 --> 00:13:13,320
Speaker 4: you're like, yeah, I know birds.

254
00:13:13,360 --> 00:13:15,360
Speaker 3: There's dub pigeon.

255
00:13:15,240 --> 00:13:21,080
Speaker 1: Crow, how about scrub jays, a lesser goldfinches, oh, black

256
00:13:21,200 --> 00:13:26,400
Speaker 1: red star Indian night jar? Oh yeah, Indian night jar

257
00:13:26,720 --> 00:13:28,920
Speaker 1: is like that sounds like a name of like some

258
00:13:28,960 --> 00:13:34,040
Speaker 1: sort of opium orange crowned warblers, Europeans starling. I guess

259
00:13:34,080 --> 00:13:37,719
Speaker 1: that one's pretty well known, but I don't know it's

260
00:13:37,920 --> 00:13:39,520
Speaker 1: starlings obviously.

261
00:13:39,400 --> 00:13:40,560
Speaker 2: But yeah, murmur.

262
00:13:41,040 --> 00:13:45,920
Speaker 1: But it's just I appreciate the artistry and the verve

263
00:13:46,040 --> 00:13:48,360
Speaker 1: and life that is thrown into the naming of these birds.

264
00:13:48,400 --> 00:13:50,400
Speaker 1: It's always fun to like find out what the birds are,

265
00:13:50,440 --> 00:13:51,720
Speaker 1: and then you look at a picture of them, and

266
00:13:51,760 --> 00:13:53,920
Speaker 1: then you kind of keep an eye out and sometimes

267
00:13:53,920 --> 00:13:56,719
Speaker 1: you get to see the lesser gold finish the other day,

268
00:13:56,720 --> 00:14:00,880
Speaker 1: I heard a great horned al in Los Angeles. They

269
00:14:00,920 --> 00:14:03,680
Speaker 1: were even surprised in the Merlin app They were like,

270
00:14:03,720 --> 00:14:05,000
Speaker 1: this doesn't seem.

271
00:14:04,840 --> 00:14:09,520
Speaker 4: Right to like this catastrophic all of these recordings, Yeah,

272
00:14:09,559 --> 00:14:11,360
Speaker 4: this is going to be really bad. Oh no, no,

273
00:14:11,520 --> 00:14:13,920
Speaker 4: all these recordings are going back to the central database

274
00:14:14,120 --> 00:14:17,200
Speaker 4: and it's helping them train to identify what the bird is.

275
00:14:17,400 --> 00:14:22,280
Speaker 1: But they're also working on what the birds are saying, right,

276
00:14:22,920 --> 00:14:26,920
Speaker 1: which is wild. So in some species they figured out

277
00:14:27,320 --> 00:14:31,600
Speaker 1: the difference between like a mating call and a call

278
00:14:31,680 --> 00:14:35,000
Speaker 1: about a specific predator that they're afraid of. When it's

279
00:14:35,000 --> 00:14:37,280
Speaker 1: a snake, they have a different call than when it's

280
00:14:37,280 --> 00:14:37,920
Speaker 1: a jaguar.

281
00:14:38,240 --> 00:14:41,520
Speaker 4: This is from a New Yorker article that everyone should read.

282
00:14:41,560 --> 00:14:44,920
Speaker 4: It's called how scientists started to decode birds song And like, yeah,

283
00:14:44,960 --> 00:14:47,680
Speaker 4: to your point, like the thing about the different word,

284
00:14:47,800 --> 00:14:50,480
Speaker 4: Like they have words for predators, so like the one

285
00:14:51,160 --> 00:14:54,040
Speaker 4: call made them look up for like an airborne threat,

286
00:14:54,120 --> 00:14:56,640
Speaker 4: one made them look down for like again, like you said,

287
00:14:56,640 --> 00:14:59,440
Speaker 4: a snake, and another to chop in a tree as.

288
00:14:59,280 --> 00:15:00,960
Speaker 1: A way to do that, I get the fuck out

289
00:15:01,000 --> 00:15:04,880
Speaker 1: of the nest, just like deuces. But like they're there's

290
00:15:05,000 --> 00:15:07,840
Speaker 1: just all these details, like some of the time they're

291
00:15:07,880 --> 00:15:10,840
Speaker 1: singing to the babies in the eggs, like they're singing

292
00:15:11,160 --> 00:15:13,480
Speaker 1: to the eggs before they hatch. And then when the

293
00:15:13,480 --> 00:15:16,320
Speaker 1: babies hatch, they have a distinct call because they were

294
00:15:16,360 --> 00:15:21,120
Speaker 1: listening from inside the eggs. And like the article points out,

295
00:15:23,120 --> 00:15:25,960
Speaker 1: and human babies do that too, like human French and

296
00:15:26,040 --> 00:15:31,960
Speaker 1: German babies emerge like crying with accents essentially Jerry Seinfeld.

297
00:15:31,360 --> 00:15:35,760
Speaker 7: Bit you ever you ever heard of German baby cry?

298
00:15:35,880 --> 00:15:44,760
Speaker 7: They're like, you know, what about a French baby? They're like, alright,

299
00:15:46,240 --> 00:15:50,360
Speaker 7: carnival cruise. I'm making me like Jerry Seinfeld, it's pretty good.

300
00:15:50,840 --> 00:15:53,040
Speaker 7: That was the first sort of old school comedian.

301
00:15:53,080 --> 00:15:54,440
Speaker 2: But no, it is true.

302
00:15:54,480 --> 00:15:57,360
Speaker 3: But is amazing that there are these parallels between us.

303
00:15:57,480 --> 00:16:01,160
Speaker 1: Yeah, and like they so they all also are talking

304
00:16:01,880 --> 00:16:06,440
Speaker 1: to one another, like they can understand one another's call.

305
00:16:06,600 --> 00:16:09,280
Speaker 1: So scientists will like play the thing that they know

306
00:16:09,480 --> 00:16:15,840
Speaker 1: means leopard nearby, and the other species of birds know

307
00:16:16,040 --> 00:16:19,040
Speaker 1: that call, so they can like it's you know, each

308
00:16:19,560 --> 00:16:23,760
Speaker 1: species has its own kind of distinctive calls. Although, like

309
00:16:23,840 --> 00:16:25,560
Speaker 1: one thing that was interesting to me is that like

310
00:16:25,640 --> 00:16:29,480
Speaker 1: when you when they're orphaned birds that are raised by

311
00:16:29,520 --> 00:16:33,160
Speaker 1: a different species, they will use the calls of the species.

312
00:16:32,760 --> 00:16:33,600
Speaker 3: That they're raised by.

313
00:16:33,760 --> 00:16:34,920
Speaker 2: So they're like learning.

314
00:16:35,120 --> 00:16:37,640
Speaker 1: It's not just this, Like they're not just these little

315
00:16:38,400 --> 00:16:41,960
Speaker 1: bots that are you know, programmed, pre programmed to sing

316
00:16:42,000 --> 00:16:46,480
Speaker 1: in a certain way. They're learning from one another, one.

317
00:16:46,360 --> 00:16:46,920
Speaker 3: Of the things.

318
00:16:47,040 --> 00:16:50,080
Speaker 1: So their calls like evolve over time in the same

319
00:16:50,120 --> 00:16:54,520
Speaker 1: way that like language changes over time. This paragraph kind

320
00:16:54,520 --> 00:16:56,960
Speaker 1: of blew me away about like how they learn. In

321
00:16:57,000 --> 00:17:01,120
Speaker 1: the nineteen twenties, tits from Swathing englis and figured out

322
00:17:01,120 --> 00:17:03,760
Speaker 1: how to open the caps of milk bottles, and by

323
00:17:03,800 --> 00:17:07,520
Speaker 1: the late forties, tits across Ireland, Wales and England head

324
00:17:07,560 --> 00:17:10,880
Speaker 1: learned the trick. If language is more a capacity than

325
00:17:10,920 --> 00:17:14,000
Speaker 1: it is a speech act, it seems possible that birds

326
00:17:14,040 --> 00:17:14,560
Speaker 1: possess it.

327
00:17:15,000 --> 00:17:18,720
Speaker 4: They're fucking talking. Oh, they're cole ephants. There's another about

328
00:17:18,720 --> 00:17:23,120
Speaker 4: elephants have names and shit, yeah, they're name is specifically

329
00:17:23,160 --> 00:17:25,920
Speaker 4: for one for each other. Yeah, And it is one

330
00:17:25,920 --> 00:17:28,399
Speaker 4: of those things you kind of just sort of brush

331
00:17:28,440 --> 00:17:30,399
Speaker 4: off because you're like, I don't know, are fucking chirping

332
00:17:31,240 --> 00:17:35,440
Speaker 4: and you're like no, no, no, no, do not disk don't.

333
00:17:35,640 --> 00:17:37,199
Speaker 3: It's it's not that simple.

334
00:17:37,440 --> 00:17:42,000
Speaker 1: It's almost like too beautiful and complicated. There's just like

335
00:17:42,119 --> 00:17:46,159
Speaker 1: the world is alive with so much meaning and like

336
00:17:46,359 --> 00:17:50,159
Speaker 1: our brain isn't able to let it all in because

337
00:17:50,640 --> 00:17:55,440
Speaker 1: it's just like too overwhelming. So yeah, so we're just like, yeah, no,

338
00:17:55,520 --> 00:17:59,200
Speaker 1: bird's song is like background music that happens for me.

339
00:17:59,400 --> 00:18:00,000
Speaker 2: Some come out.

340
00:18:00,320 --> 00:18:02,360
Speaker 4: Yeah, it's like no, they're actually they're in a they're

341
00:18:02,359 --> 00:18:05,120
Speaker 4: having a crisis, and you just think it's pleasant.

342
00:18:05,600 --> 00:18:05,919
Speaker 3: Huh.

343
00:18:06,040 --> 00:18:07,800
Speaker 1: Yeah, I don't know the world Like this is just

344
00:18:07,840 --> 00:18:10,760
Speaker 1: one of those things where I'm just like reminded that

345
00:18:10,840 --> 00:18:14,280
Speaker 1: the world is so much more interesting and meaningful than

346
00:18:15,040 --> 00:18:18,760
Speaker 1: the default version that exists in my head when I

347
00:18:18,880 --> 00:18:22,440
Speaker 1: like wake up in the morning, you know, like yeah,

348
00:18:22,520 --> 00:18:27,479
Speaker 1: I inherited from just like the accepted wisdom and like

349
00:18:27,600 --> 00:18:31,240
Speaker 1: public schooling that you know, my brain is built out of.

350
00:18:31,440 --> 00:18:33,280
Speaker 4: I just love this one thing they were saying, like

351
00:18:33,440 --> 00:18:35,840
Speaker 4: from that article, it said, if you record an Australian

352
00:18:35,920 --> 00:18:39,560
Speaker 4: bird warning of a nearby cuckoo. Cuckoos leave their eggs

353
00:18:39,600 --> 00:18:41,480
Speaker 4: in the in the nests of other species and often

354
00:18:41,520 --> 00:18:46,000
Speaker 4: kill their step siblings. Birds in China will understand the call.

355
00:18:46,400 --> 00:18:50,360
Speaker 2: Yeah, man, this is like it's we're like because they

356
00:18:50,480 --> 00:18:52,080
Speaker 2: move so much more than we.

357
00:18:51,920 --> 00:18:54,679
Speaker 4: Do, I know, and we're starting to like it's just

358
00:18:54,800 --> 00:18:56,639
Speaker 4: it's so I said, this is what's so like to

359
00:18:56,680 --> 00:18:58,560
Speaker 4: your point about that there's so much more meaning to

360
00:18:58,600 --> 00:19:02,439
Speaker 4: this now. It's very like heartening and magical to me

361
00:19:03,080 --> 00:19:06,400
Speaker 4: that we're like getting there now where we're like nah, man,

362
00:19:06,720 --> 00:19:09,960
Speaker 4: they're talking and now what are we going to have

363
00:19:10,080 --> 00:19:13,760
Speaker 4: like fucking devices where I can be like ok, and

364
00:19:13,800 --> 00:19:16,240
Speaker 4: like they all fucking come through the way we harness

365
00:19:16,320 --> 00:19:19,840
Speaker 4: this for hopefully obviously like the betterment of our planet

366
00:19:20,320 --> 00:19:22,480
Speaker 4: is exciting and also maybe just to fuck around with

367
00:19:22,520 --> 00:19:24,720
Speaker 4: people too, yea'h, Like, bro, if you fuck me, I

368
00:19:24,760 --> 00:19:26,879
Speaker 4: will pull up with a murder of crows because I

369
00:19:26,920 --> 00:19:27,920
Speaker 4: got that app Yeah.

370
00:19:28,000 --> 00:19:29,120
Speaker 3: Yeah, I bet they.

371
00:19:29,040 --> 00:19:29,880
Speaker 2: Won't listen to us.

372
00:19:29,920 --> 00:19:31,800
Speaker 1: I bet they'll be like, oh they made a little

373
00:19:31,800 --> 00:19:32,960
Speaker 1: machine and fuck those people.

374
00:19:33,200 --> 00:19:34,880
Speaker 3: Yeah, like fucking larparass mother.

375
00:19:35,000 --> 00:19:36,840
Speaker 4: Oh and they like jump you like you fake being

376
00:19:36,880 --> 00:19:38,960
Speaker 4: a gangster and shit, they're like oh really.

377
00:19:39,760 --> 00:19:43,240
Speaker 1: There's a really good episode of Radio Lab from a

378
00:19:43,320 --> 00:19:46,359
Speaker 1: number of years ago where a person like a scientist

379
00:19:46,720 --> 00:19:49,480
Speaker 1: was studying to do this with a species of monkeys

380
00:19:49,560 --> 00:19:53,640
Speaker 1: in the jungle, and he got to the point where

381
00:19:53,680 --> 00:19:57,040
Speaker 1: he knew the difference between the calls, and he's like

382
00:19:57,119 --> 00:20:00,960
Speaker 1: walking back from where he was studying to like base camp,

383
00:20:01,359 --> 00:20:04,880
Speaker 1: and he starts hearing the call of the leopard and

384
00:20:04,960 --> 00:20:11,200
Speaker 1: like it's following him across the jungle and oh shit,

385
00:20:11,520 --> 00:20:15,200
Speaker 1: like he's hearing the like burglar alarm for like leopard.

386
00:20:15,240 --> 00:20:18,040
Speaker 1: He realizes, Oh, there's a leopard stalking me like right

387
00:20:18,040 --> 00:20:22,160
Speaker 1: now across this jungle. And like, because he speaks this

388
00:20:22,600 --> 00:20:24,879
Speaker 1: like monkey language, he's able to like just kind of

389
00:20:24,920 --> 00:20:28,000
Speaker 1: figure that out. And he obviously doesn't get eaten. So

390
00:20:28,600 --> 00:20:34,160
Speaker 1: we know that podcast, and that's pretty cool. Anyways, there

391
00:20:34,200 --> 00:20:37,639
Speaker 1: you go. That's that's where part of the election is at,

392
00:20:37,680 --> 00:20:41,399
Speaker 1: and that's what is making me okay with waking up

393
00:20:41,400 --> 00:20:44,119
Speaker 1: in the morning despite the fact that we have this

394
00:20:44,200 --> 00:20:46,440
Speaker 1: election bearing down on us.

395
00:20:46,760 --> 00:20:48,280
Speaker 3: Would you so.

396
00:20:48,240 --> 00:20:51,480
Speaker 1: There's that movie click and you made reference to it earlier,

397
00:20:52,119 --> 00:20:55,560
Speaker 1: would way, Yeah, use the fast forward button now, even

398
00:20:55,600 --> 00:20:57,280
Speaker 1: if there was a chance that you would like skip

399
00:20:57,320 --> 00:20:59,360
Speaker 1: too far by three years just to like get through

400
00:20:59,359 --> 00:20:59,840
Speaker 1: this election.

401
00:21:00,200 --> 00:21:01,960
Speaker 3: I don't know. I mean it's hard, like with a kid,

402
00:21:02,240 --> 00:21:02,600
Speaker 3: you know.

403
00:21:03,200 --> 00:21:04,400
Speaker 2: Yeah, but this election.

404
00:21:04,880 --> 00:21:11,080
Speaker 4: Yeah, all right, look bro, I'm a little bit ahead

405
00:21:11,119 --> 00:21:12,080
Speaker 4: of you in that timeline.

406
00:21:12,119 --> 00:21:14,960
Speaker 3: I was like, you know, you're not missing. They get

407
00:21:15,000 --> 00:21:16,600
Speaker 3: pretty chilling about three years, you know.

408
00:21:18,280 --> 00:21:20,680
Speaker 1: All right, those are some of the things that are

409
00:21:20,760 --> 00:21:25,280
Speaker 1: trending on this Wednesday afternoon. We are back tomorrow with the.

410
00:21:25,280 --> 00:21:26,639
Speaker 3: Whole last episode of the show.

411
00:21:27,280 --> 00:21:30,160
Speaker 1: Until then, be kind to each other, be kind to yourself,

412
00:21:30,680 --> 00:21:33,639
Speaker 1: get the vaccine, get the flu shot, don't do nothing

413
00:21:33,800 --> 00:21:36,560
Speaker 1: about white supremacy, and we will.

414
00:21:36,480 --> 00:21:37,359
Speaker 2: Talk to you all tomorrow.

415
00:21:37,520 --> 00:21:42,440
Speaker 3: Bye bye,