1
00:00:00,360 --> 00:00:04,960
Speaker 1: Bart Barrant, Scotti, Curty B. I'm gonna laugh and laugh

2
00:00:05,040 --> 00:00:05,400
Speaker 1: and laugh.

3
00:00:05,880 --> 00:00:08,560
Speaker 2: China's first Corgi police dogs in trouble again.

4
00:00:09,080 --> 00:00:10,280
Speaker 1: Uh, what do you do? This time?

5
00:00:10,400 --> 00:00:12,200
Speaker 2: He stole a sausage from a child?

6
00:00:12,400 --> 00:00:17,040
Speaker 1: Classic dog stuff. That's it? All right, Well, guard your weenies.

7
00:00:17,079 --> 00:00:21,640
Speaker 1: We're getting into a brand new episode of dog Gone.

8
00:00:21,720 --> 00:00:27,920
Speaker 1: It's Bananas.

9
00:00:26,760 --> 00:00:47,640
Speaker 3: World dogs. Would you midzillion pieces?

10
00:00:49,280 --> 00:00:53,640
Speaker 2: Hi's Gal's non binary pals. Welcome to Bananas. Hi, Scottie Landis, how.

11
00:00:53,479 --> 00:00:55,640
Speaker 1: Are you very good? How are you? Curti B.

12
00:00:56,520 --> 00:01:00,480
Speaker 2: I'm not bad. We're just both admiring that there's a

13
00:01:00,520 --> 00:01:06,240
Speaker 2: little silver on the sides of our heads and look

14
00:01:06,280 --> 00:01:06,759
Speaker 2: at that.

15
00:01:07,040 --> 00:01:09,120
Speaker 1: And I'm grateful. You're great.

16
00:01:09,160 --> 00:01:12,000
Speaker 2: Yeah, exactly. It's better than the alternative, and we're happy

17
00:01:12,040 --> 00:01:12,640
Speaker 2: to be alive.

18
00:01:13,000 --> 00:01:16,959
Speaker 1: Damn right, just uh, this is bananas. We do strange news,

19
00:01:17,040 --> 00:01:19,880
Speaker 1: we do storytelling. Sometimes we have guess episodes, like today

20
00:01:20,160 --> 00:01:23,080
Speaker 1: on the Silliest Little Podcast over was it's just Kurtie

21
00:01:23,080 --> 00:01:24,520
Speaker 1: B and I and I think that's enough.

22
00:01:24,760 --> 00:01:25,840
Speaker 2: Oh, I think so.

23
00:01:26,760 --> 00:01:30,360
Speaker 1: You know, we encourage absurdity, we encourage silliness, and that

24
00:01:30,400 --> 00:01:33,120
Speaker 1: doesn't just have to be behavior. You could just take

25
00:01:33,160 --> 00:01:35,680
Speaker 1: a moment to have silly thoughts and daydream. Get off

26
00:01:35,680 --> 00:01:38,000
Speaker 1: your phone and daydream a little bit.

27
00:01:38,560 --> 00:01:41,119
Speaker 2: Just go walk around. You know what I've been doing,

28
00:01:41,240 --> 00:01:45,039
Speaker 2: This is what I've been entertaining myself with, is planning

29
00:01:45,080 --> 00:01:49,000
Speaker 2: my cross country drive. Maybe you can help me. Okay,

30
00:01:49,680 --> 00:01:55,080
Speaker 2: So I'm gonna definitely go up through Denver, so seventy Yeah,

31
00:01:55,280 --> 00:01:57,720
Speaker 2: I'm gonna go up through Denver. I'll probably stop in

32
00:01:57,800 --> 00:01:59,920
Speaker 2: maybe Saint George, Utah.

33
00:02:00,040 --> 00:02:02,400
Speaker 1: That's a classic first stop if you're leaving LA. You

34
00:02:02,440 --> 00:02:04,920
Speaker 1: can sitch it in one day. Yeah, yeah, yeah, yeah, So.

35
00:02:04,880 --> 00:02:06,440
Speaker 2: I can do that in one day because I figure

36
00:02:06,920 --> 00:02:09,920
Speaker 2: I have I'll have a twelve year old dog who

37
00:02:09,960 --> 00:02:13,000
Speaker 2: is not in continent but you know, needs to stop

38
00:02:13,120 --> 00:02:17,760
Speaker 2: multiple times as it breaks and I like to take

39
00:02:17,800 --> 00:02:22,440
Speaker 2: a lot, I pee a lot. So I'm automatically adding

40
00:02:22,680 --> 00:02:25,560
Speaker 2: whatever Google Map says it is. I'm going to add

41
00:02:25,639 --> 00:02:31,119
Speaker 2: two hours to that for stops, lunches, you know, gas ups.

42
00:02:30,880 --> 00:02:32,840
Speaker 1: All that sort of stuff. That's good.

43
00:02:34,600 --> 00:02:37,560
Speaker 2: And so I think I can drive around nine to

44
00:02:37,600 --> 00:02:39,680
Speaker 2: ten hours a day. I can handle it.

45
00:02:39,760 --> 00:02:42,440
Speaker 1: That's a lot. But also if you're having a good time,

46
00:02:43,040 --> 00:02:44,240
Speaker 1: that's so.

47
00:02:44,200 --> 00:02:46,040
Speaker 2: You feel like nine to ten hours a day is

48
00:02:46,040 --> 00:02:46,840
Speaker 2: a lot.

49
00:02:47,760 --> 00:02:51,400
Speaker 1: I think if you I personally don't, but stopping with

50
00:02:51,639 --> 00:02:55,000
Speaker 1: a dog, you would add a lot. When I road trip,

51
00:02:55,040 --> 00:02:56,440
Speaker 1: I do ten hours, yes, and.

52
00:02:56,560 --> 00:02:59,440
Speaker 2: Right, so I'm doing I'm doing seven hour drives and

53
00:02:59,480 --> 00:03:01,680
Speaker 2: then I I had my two hours on top of that,

54
00:03:01,720 --> 00:03:05,119
Speaker 2: so it'll be like a nine hour drive beautiful. Yeah, right,

55
00:03:05,160 --> 00:03:07,240
Speaker 2: So if I leave by eight, I'm there by six.

56
00:03:07,360 --> 00:03:11,880
Speaker 2: That seems functional, seems good to me, right, or there

57
00:03:11,919 --> 00:03:14,079
Speaker 2: by five, then I can have dinner, have a drink.

58
00:03:14,560 --> 00:03:17,320
Speaker 1: That's the best, just showing up. Like when you pull

59
00:03:17,360 --> 00:03:21,040
Speaker 1: into a town you aren't familiar with and you say,

60
00:03:21,560 --> 00:03:24,839
Speaker 1: best certain type of food in this town, Go sit

61
00:03:24,880 --> 00:03:28,480
Speaker 1: at the bar. Yes, enjoy your time. I've done that time.

62
00:03:29,000 --> 00:03:33,000
Speaker 1: I was so dumb. I was googling that and like

63
00:03:33,120 --> 00:03:35,720
Speaker 1: every time I was getting into town, and I realized

64
00:03:35,760 --> 00:03:38,040
Speaker 1: that all the results I was getting were from Yelp reviews.

65
00:03:38,280 --> 00:03:40,640
Speaker 1: So it would be like best pizza in Saint George,

66
00:03:40,680 --> 00:03:42,880
Speaker 1: and I'm like, how good is the pizza in this

67
00:03:42,960 --> 00:03:46,160
Speaker 1: town where everything is considered the best, And then I'm like, oh,

68
00:03:46,200 --> 00:03:48,520
Speaker 1: it was Papa John's Domino's pizza. Huh. It's just somebody

69
00:03:48,520 --> 00:03:51,360
Speaker 1: who's like this is the best delivery around and I'm like, oh,

70
00:03:51,680 --> 00:03:52,720
Speaker 1: keyword searched.

71
00:03:52,960 --> 00:03:57,000
Speaker 2: Yep, uh uh one hundred percent. I honestly, when I travel,

72
00:03:57,120 --> 00:04:03,080
Speaker 2: I don't like to use Yelp. I love that because

73
00:04:03,120 --> 00:04:05,600
Speaker 2: of the fact that if you go, like to the

74
00:04:05,640 --> 00:04:08,680
Speaker 2: top three or four things on Yelp, it just means

75
00:04:08,760 --> 00:04:11,680
Speaker 2: that there's just gonna be it's gonna be too crowded,

76
00:04:12,240 --> 00:04:14,960
Speaker 2: and often like the very very good things are not

77
00:04:15,280 --> 00:04:18,719
Speaker 2: even ranked on there often or they were ranked much

78
00:04:18,760 --> 00:04:19,360
Speaker 2: lower down.

79
00:04:19,680 --> 00:04:23,640
Speaker 1: Yes, yeah, true, that's true. In Saint George, I was

80
00:04:23,680 --> 00:04:25,479
Speaker 1: there on a road trip once and I think I

81
00:04:25,520 --> 00:04:29,359
Speaker 1: talked about this, but the bartender at the restaurant I

82
00:04:29,400 --> 00:04:32,360
Speaker 1: went to was wearing a numbered tag. It was like

83
00:04:32,400 --> 00:04:34,480
Speaker 1: a yellow tag with a number that was like four

84
00:04:34,560 --> 00:04:36,560
Speaker 1: to two three or whatever. And I was like, what's

85
00:04:36,600 --> 00:04:38,760
Speaker 1: that for? And they're like, they watch us on close

86
00:04:38,800 --> 00:04:41,240
Speaker 1: circuit TV to make sure we're not pouring more than

87
00:04:41,279 --> 00:04:45,040
Speaker 1: an ounce per drink. Are you joking? Nope, So keep

88
00:04:45,080 --> 00:04:48,520
Speaker 1: an eye out for bartenders wearing tags so they can

89
00:04:48,560 --> 00:04:51,600
Speaker 1: be monitored to make sure they're not over pouring. It

90
00:04:51,640 --> 00:04:53,760
Speaker 1: was myself and two older businessmen. They were hitting on

91
00:04:53,800 --> 00:04:55,880
Speaker 1: her so hard, and I was just like, so She

92
00:04:55,960 --> 00:04:58,200
Speaker 1: kept coming over to me just to be like, how

93
00:04:58,279 --> 00:04:59,000
Speaker 1: is everything.

94
00:05:00,040 --> 00:05:02,640
Speaker 2: Oh, because it's Utah. And I was like, what it's

95
00:05:02,760 --> 00:05:06,640
Speaker 2: like the owners, Oh, no, it's because it's Utah. Their

96
00:05:06,640 --> 00:05:10,120
Speaker 2: beer has less alcohol in it as well, rightthing like that.

97
00:05:10,200 --> 00:05:12,479
Speaker 1: But also when you're in Saint George, it's a little

98
00:05:12,520 --> 00:05:15,520
Speaker 1: bit of a trip, but like they're about two two

99
00:05:15,560 --> 00:05:17,280
Speaker 1: and a half hours from there. It's horse you Bend

100
00:05:17,520 --> 00:05:21,720
Speaker 1: in northern Arizona. Uh huh, pretty good, pretty good, pretty fun,

101
00:05:22,000 --> 00:05:25,040
Speaker 1: pretty beautiful. One of our better monuments. Get it. While

102
00:05:25,080 --> 00:05:25,480
Speaker 1: it's there.

103
00:05:25,960 --> 00:05:29,000
Speaker 2: I'm going to try and do Manhattan, Kansas as well.

104
00:05:29,520 --> 00:05:32,400
Speaker 1: Okay, in honor of a.

105
00:05:34,320 --> 00:05:36,320
Speaker 2: Bridget everage show of course.

106
00:05:37,680 --> 00:05:40,840
Speaker 1: And in Kansas, k State the Wildcats.

107
00:05:41,040 --> 00:05:43,760
Speaker 2: Oh is it really? It's it's college college down. Yeah,

108
00:05:44,320 --> 00:05:45,880
Speaker 2: I know it was a college.

109
00:05:46,160 --> 00:05:47,800
Speaker 1: You're gonna have a good old time. Man.

110
00:05:48,120 --> 00:05:50,680
Speaker 2: Oh that's nice. And then I have to figure out

111
00:05:50,720 --> 00:05:52,760
Speaker 2: because like what I would like to do. What I

112
00:05:52,800 --> 00:05:55,120
Speaker 2: would like to do is if I can drive and

113
00:05:55,160 --> 00:05:57,720
Speaker 2: make it and then stay stay in Baltimore one night,

114
00:05:58,600 --> 00:06:01,360
Speaker 2: and then because I just have to pick up Lauren

115
00:06:01,400 --> 00:06:05,240
Speaker 2: and the kids and Gretchen in at Philly because my

116
00:06:05,320 --> 00:06:07,680
Speaker 2: flight was into Newark, and then I had to switch

117
00:06:07,760 --> 00:06:13,919
Speaker 2: it to Philly because Newark shit the bed sadly. But

118
00:06:14,000 --> 00:06:16,800
Speaker 2: then just do that like that last two hours in

119
00:06:16,920 --> 00:06:19,960
Speaker 2: like one day, just like have a morning in Baltimore

120
00:06:20,000 --> 00:06:24,240
Speaker 2: and walk around with the dog, have a chill. But

121
00:06:24,279 --> 00:06:25,760
Speaker 2: I don't know, I don't know if I'm going to

122
00:06:25,800 --> 00:06:26,400
Speaker 2: be able to do it.

123
00:06:28,000 --> 00:06:32,440
Speaker 1: When you're in Manhattan, Kansas, there is a bar so

124
00:06:32,480 --> 00:06:35,280
Speaker 1: Aggieville is like their college town, their street where all

125
00:06:35,320 --> 00:06:38,000
Speaker 1: the bars are, and there's a place that has raspberry

126
00:06:38,160 --> 00:06:42,840
Speaker 1: black bean dip. It is so good. It is. It

127
00:06:42,960 --> 00:06:46,640
Speaker 1: is a delicious local thing that they heat with you

128
00:06:46,680 --> 00:06:49,960
Speaker 1: have a drink, eat some raspberry bean dip. I can't

129
00:06:50,000 --> 00:06:52,120
Speaker 1: remember the name of the place. It's something like the

130
00:06:52,200 --> 00:06:54,960
Speaker 1: Dog Gone Saloon. When you said, yeah, walk.

131
00:06:54,960 --> 00:06:57,120
Speaker 2: It's raspberry black bean.

132
00:06:57,000 --> 00:06:59,920
Speaker 1: So Long Saloon, So Long Saloon. Yeah, it's a rasp

133
00:07:00,160 --> 00:07:03,160
Speaker 1: very black bean dip with some cheese. And it is

134
00:07:03,320 --> 00:07:04,000
Speaker 1: so good.

135
00:07:04,200 --> 00:07:05,160
Speaker 2: Is it super sweeter?

136
00:07:05,400 --> 00:07:07,880
Speaker 1: I mean, like pretty sweet. It's sweeter than you think.

137
00:07:08,200 --> 00:07:11,360
Speaker 1: So the chips are salty, the beans and the cheese

138
00:07:11,360 --> 00:07:14,840
Speaker 1: are a little salty, and the raspberry. I'm just saying,

139
00:07:14,960 --> 00:07:15,600
Speaker 1: treat yourself.

140
00:07:16,440 --> 00:07:18,760
Speaker 2: Treat yourself, all right, I'll give it a shot. I'll

141
00:07:18,800 --> 00:07:20,600
Speaker 2: give it a shot. That's what you're there for, right,

142
00:07:20,720 --> 00:07:22,800
Speaker 2: That's why you go to Manhattan, Kansas, have something you

143
00:07:22,880 --> 00:07:23,880
Speaker 2: never had before.

144
00:07:24,120 --> 00:07:25,480
Speaker 1: You know. I had the thought once when I was

145
00:07:25,520 --> 00:07:28,440
Speaker 1: doing a road trip. And you know, as writers, you're

146
00:07:28,440 --> 00:07:31,680
Speaker 1: a writer, I'm a writer. We're always I always wonder

147
00:07:31,920 --> 00:07:35,480
Speaker 1: how much more prolific, prolific I would be without the Internet,

148
00:07:35,480 --> 00:07:38,800
Speaker 1: without smartphones, without those kind of distractions, even television. And

149
00:07:38,840 --> 00:07:42,480
Speaker 1: I was one time just imagining Emily Dickinson scrolling TikTok

150
00:07:42,840 --> 00:07:46,640
Speaker 1: and like Hemingway, like how lame his Facebook page would be,

151
00:07:47,280 --> 00:07:49,840
Speaker 1: or even more or like f Scott Fitzgerald, like the

152
00:07:49,880 --> 00:07:53,240
Speaker 1: comments he would be leaving on Zelda's Instagram and how

153
00:07:53,280 --> 00:07:57,560
Speaker 1: in cringed they would be. It's just funny to think

154
00:07:57,600 --> 00:08:02,119
Speaker 1: of all those old authors. Yeah, just just wasting time.

155
00:08:02,480 --> 00:08:06,000
Speaker 2: I mean, like Emily Dickinson would have would still be

156
00:08:06,080 --> 00:08:09,160
Speaker 2: updating her Tumblr. She has a tumbler. Definitely, she's very

157
00:08:09,160 --> 00:08:13,880
Speaker 2: into Tumblr. Yes, absolutely, Ernest Hemingway would be red pilled

158
00:08:14,000 --> 00:08:15,040
Speaker 2: one hundred percent.

159
00:08:16,400 --> 00:08:18,480
Speaker 1: Yeah, yeah, yeah.

160
00:08:18,920 --> 00:08:24,080
Speaker 2: Scott Fitzgerald would make the the most the like the

161
00:08:25,040 --> 00:08:28,920
Speaker 2: like these posts about when it was Zelda's birthday, she

162
00:08:29,080 --> 00:08:31,560
Speaker 2: would have a post on Instagram that was like five

163
00:08:31,680 --> 00:08:33,839
Speaker 2: hundred pages long praising her.

164
00:08:34,080 --> 00:08:36,480
Speaker 1: You'd be a wife guy, which you know those guy

165
00:08:36,559 --> 00:08:38,840
Speaker 1: online that are like my wife. Yeah, yeah yeah.

166
00:08:38,880 --> 00:08:42,640
Speaker 2: His thing would say this thing would say husband and

167
00:08:42,720 --> 00:08:43,440
Speaker 2: then author.

168
00:08:44,480 --> 00:08:48,600
Speaker 1: Yeah, husband Zelda, Okay, author.

169
00:08:48,920 --> 00:08:51,720
Speaker 2: We say all of that. But he definitely cheated on

170
00:08:51,760 --> 00:08:52,960
Speaker 2: her a thousand times.

171
00:08:53,040 --> 00:08:55,360
Speaker 1: Well that's what wife guys seem to do.

172
00:08:55,760 --> 00:09:01,679
Speaker 2: Oh yeah, Zelda, Zelda, Zelda Fitzgerald inspiration for our Zelda.

173
00:09:02,200 --> 00:09:06,840
Speaker 1: There you go, yeah, there you go. Let's get into it.

174
00:09:06,880 --> 00:09:10,040
Speaker 1: What's the story? Something about a dog eating oiener?

175
00:09:10,320 --> 00:09:13,319
Speaker 2: Yeah, dude, That's what I'm talking about. I mean, I

176
00:09:13,440 --> 00:09:14,640
Speaker 2: tell you who sent this in?

177
00:09:15,120 --> 00:09:19,040
Speaker 1: Please do I'm always interested. You can send any strange

178
00:09:19,080 --> 00:09:20,959
Speaker 1: news stories you find that you'd think you'd like to

179
00:09:21,000 --> 00:09:24,120
Speaker 1: hear us discuss or our guests discussed to The Bananas

180
00:09:24,120 --> 00:09:32,440
Speaker 1: Podcast at gmail dot com or the Bananas Podcast on Instagram, Instagram, Instagram,

181
00:09:32,520 --> 00:09:35,839
Speaker 1: Dostoevsky's favorite app, Instagram.

182
00:09:37,040 --> 00:09:39,960
Speaker 2: I'm unsure who sent this in. My apologies. I might

183
00:09:40,000 --> 00:09:43,920
Speaker 2: have just find it. Go, yeah, you look somebody up.

184
00:09:43,880 --> 00:09:45,200
Speaker 1: I'll find it. You do it here.

185
00:09:45,280 --> 00:09:53,360
Speaker 2: This is this is from my news sc MP dot

186
00:09:53,400 --> 00:09:54,520
Speaker 2: com my news.

187
00:09:54,679 --> 00:09:57,440
Speaker 1: Let's go. Creature Farm animals sent this in because they did.

188
00:09:57,480 --> 00:10:00,480
Speaker 1: Thank you Creature Farm Animals. They're an animal enthusi and

189
00:10:00,600 --> 00:10:04,040
Speaker 1: keeper of creatures big, small, scaly, slimyan more Creature Farm.

190
00:10:04,240 --> 00:10:06,920
Speaker 2: This was written by Zoe Jang. Thank you, Zoe Jiang.

191
00:10:07,520 --> 00:10:07,760
Speaker 1: Way to.

192
00:10:09,679 --> 00:10:12,240
Speaker 2: China's first Corgi police dog in trouble again, this time

193
00:10:12,280 --> 00:10:16,120
Speaker 2: for stealing sausage during patrol. We you might remember China's

194
00:10:16,160 --> 00:10:20,880
Speaker 2: first Corgi police dog getting in trouble originally for what

195
00:10:21,000 --> 00:10:23,120
Speaker 2: did he do? Did he fall asleep on the job

196
00:10:23,200 --> 00:10:26,959
Speaker 2: or something? We did do another story about him before,

197
00:10:27,559 --> 00:10:30,680
Speaker 2: like right before he graduated into becoming a police dog.

198
00:10:30,720 --> 00:10:31,960
Speaker 2: He did do something bad.

199
00:10:33,200 --> 00:10:34,360
Speaker 1: I probably did somebody.

200
00:10:34,720 --> 00:10:37,200
Speaker 2: But China's first Corgi police dog has found itself in

201
00:10:37,200 --> 00:10:39,760
Speaker 2: trouble again, this time for stealing a sausage from a

202
00:10:39,840 --> 00:10:42,520
Speaker 2: child during a patrol. However, netizens have leapt to the

203
00:10:42,559 --> 00:10:45,480
Speaker 2: canines to satin defense. One and a half year old

204
00:10:45,480 --> 00:10:50,040
Speaker 2: Fuzi from a police dog training base in Wifang, Shandong

205
00:10:50,160 --> 00:10:52,920
Speaker 2: Province in eastern China, was given the name to bring

206
00:10:52,960 --> 00:10:55,680
Speaker 2: good luck and success. His talent was spotted when he

207
00:10:55,720 --> 00:10:57,320
Speaker 2: was just two months old. When his owner took him

208
00:10:57,360 --> 00:10:59,559
Speaker 2: to a park where the police dog trainer, Jao quits

209
00:10:59,600 --> 00:11:05,720
Speaker 2: Schai noticed his drive, curiosity, and hunting instincts. Seeing his potential,

210
00:11:06,000 --> 00:11:09,280
Speaker 2: the owner donated Fuzi to the police dog training center.

211
00:11:10,400 --> 00:11:13,240
Speaker 2: Sounds like that owner one to get rid of this dog.

212
00:11:14,480 --> 00:11:21,120
Speaker 2: Fusi started training as a reserve explosives detection operative in

213
00:11:21,200 --> 00:11:24,360
Speaker 2: January twenty twenty four. In October twenty twenty four, after

214
00:11:24,400 --> 00:11:27,880
Speaker 2: months of learning task like searching luggage, inspecting vehicles, and

215
00:11:27,920 --> 00:11:31,680
Speaker 2: crossing obstacles, Fuzi passed his tests and officially joined the

216
00:11:31,720 --> 00:11:35,200
Speaker 2: police force. In April, he helped provide security at the

217
00:11:35,240 --> 00:11:41,720
Speaker 2: Waifang International Kite Festival. Fuzi had also taken part in

218
00:11:41,800 --> 00:11:44,760
Speaker 2: public open house events where he interacted with visitors and

219
00:11:44,760 --> 00:11:48,079
Speaker 2: showed off his skills. With his big smile, short legs,

220
00:11:48,120 --> 00:11:52,200
Speaker 2: and sharp detection skills, Fuzi quickly won hearts online. His

221
00:11:52,240 --> 00:11:55,199
Speaker 2: story posts on social media's attracted four one thousand followers.

222
00:11:56,280 --> 00:11:59,319
Speaker 2: In January, Fuzi was punished for napping on the job

223
00:11:59,440 --> 00:12:03,240
Speaker 2: and peeing in his bowl. There you Go, which cost

224
00:12:03,320 --> 00:12:06,600
Speaker 2: him his year end bonus of snacks and toys. Lord

225
00:12:07,240 --> 00:12:10,080
Speaker 2: The incident amuse social media users across China. A few

226
00:12:10,120 --> 00:12:12,600
Speaker 2: days later, his trainer shared a video saying, although the

227
00:12:12,640 --> 00:12:15,840
Speaker 2: treats were taken away foods, I still received a festive

228
00:12:16,360 --> 00:12:20,640
Speaker 2: Lunar New Year meal with pacific herring, pumpkin soup, colorful

229
00:12:20,679 --> 00:12:22,400
Speaker 2: dumplings and rabbit meatballs.

230
00:12:22,440 --> 00:12:23,960
Speaker 1: My god, that's nice meal.

231
00:12:24,559 --> 00:12:27,480
Speaker 2: But the naughty cane I was up to more mischief. Okay,

232
00:12:27,559 --> 00:12:30,760
Speaker 2: So they are walking through a cloud crowd. There is

233
00:12:30,840 --> 00:12:34,040
Speaker 2: a child who has a sausage on a stick. Normal,

234
00:12:34,240 --> 00:12:38,000
Speaker 2: this kid is it's a grain it's grainy footage. But

235
00:12:38,080 --> 00:12:42,400
Speaker 2: I'm saying two and a half three Madley four kid

236
00:12:42,760 --> 00:12:46,000
Speaker 2: three and a half four years old holding like a

237
00:12:46,080 --> 00:12:50,439
Speaker 2: stuffed animal and his sausage stick, and without missing a beat,

238
00:12:50,559 --> 00:12:54,400
Speaker 2: Fusey just reaches out, eats the whole sausage and keeps moving.

239
00:12:54,800 --> 00:12:56,400
Speaker 1: That's right, that's right.

240
00:12:58,120 --> 00:13:01,000
Speaker 2: The girl's mother later said her finished the rest of

241
00:13:01,040 --> 00:13:05,199
Speaker 2: the sausage without complaint. After the patrol, Fusi's trainer tried

242
00:13:05,280 --> 00:13:07,520
Speaker 2: to find the family to make up for the snack,

243
00:13:07,600 --> 00:13:09,600
Speaker 2: but could not find them. She later posted an apology

244
00:13:09,640 --> 00:13:13,000
Speaker 2: online saying Fusi had been formally scolded. Fusi broke the

245
00:13:13,080 --> 00:13:16,320
Speaker 2: rule of never taking anything from the public, the trainer said,

246
00:13:16,320 --> 00:13:20,160
Speaker 2: adding the stricter food refusal training would follow. The story

247
00:13:20,160 --> 00:13:23,000
Speaker 2: has received much attention online, with many netizines calling for

248
00:13:23,000 --> 00:13:26,360
Speaker 2: forgiveness with the dog is cute as Foosi. How could

249
00:13:26,360 --> 00:13:29,439
Speaker 2: anyone stay mad? Says one online observer. Thank you, that's

250
00:13:29,520 --> 00:13:33,640
Speaker 2: a twelve year old boy writing in his basement. Maybe

251
00:13:33,640 --> 00:13:35,440
Speaker 2: it is time to upgrade his meal so he's not

252
00:13:35,480 --> 00:13:39,000
Speaker 2: so tempted to send another eleven year old girl writing

253
00:13:39,080 --> 00:13:42,640
Speaker 2: from the beach and April twenty nine, two traders took

254
00:13:42,679 --> 00:13:46,240
Speaker 2: fushi and two sausages to the girl's kindergarten, where they

255
00:13:46,240 --> 00:13:49,280
Speaker 2: gave her and her mother some Foosi themed kiffs and

256
00:13:49,480 --> 00:13:50,359
Speaker 2: a kite.

257
00:13:51,720 --> 00:13:53,959
Speaker 1: I want that to be true. I want a You know,

258
00:13:54,160 --> 00:13:56,679
Speaker 1: we are conflicted on AI because we do want it

259
00:13:56,720 --> 00:13:59,280
Speaker 1: to cure cancer, but also we wanted to stay all

260
00:13:59,280 --> 00:14:01,320
Speaker 1: the arts. But I would love if AI could take

261
00:14:01,400 --> 00:14:05,040
Speaker 1: Internet comments and then cut to a camera and secretly

262
00:14:05,040 --> 00:14:06,880
Speaker 1: filming the person who wrote it, and just so you

263
00:14:06,880 --> 00:14:09,040
Speaker 1: get to follow them for fifteen minutes, just to see

264
00:14:09,280 --> 00:14:12,000
Speaker 1: just a little glimpse into the life of patrol.

265
00:14:12,440 --> 00:14:16,560
Speaker 2: We were talking about this that like it. It is

266
00:14:16,720 --> 00:14:20,040
Speaker 2: insane that like so many news stories say and then

267
00:14:20,160 --> 00:14:23,280
Speaker 2: quote people who just wrote something on like Twitter or

268
00:14:23,320 --> 00:14:26,360
Speaker 2: on Instagram. It's just like you have no idea who

269
00:14:26,400 --> 00:14:28,920
Speaker 2: the fuck this person is, Like, it's so insane to

270
00:14:29,080 --> 00:14:31,480
Speaker 2: just quote random people.

271
00:14:32,080 --> 00:14:34,320
Speaker 1: Do you think it's so Websites are trying to get

272
00:14:34,320 --> 00:14:36,840
Speaker 1: engagement on their own social media following? Is that why

273
00:14:36,960 --> 00:14:37,440
Speaker 1: people are?

274
00:14:38,280 --> 00:14:38,320
Speaker 2: That?

275
00:14:38,400 --> 00:14:40,160
Speaker 1: Seems like why right? Yeah? Yeah?

276
00:14:40,200 --> 00:14:42,840
Speaker 2: Yeah yeah yeah people want Yeah, it's like ooh, come

277
00:14:42,880 --> 00:14:46,880
Speaker 2: to art whatever, date, whatever thing and comment. Maybe we'll

278
00:14:46,960 --> 00:14:50,320
Speaker 2: quote you as a as what as an I guess

279
00:14:50,360 --> 00:14:52,520
Speaker 2: you would just go to random strangers on the street

280
00:14:52,520 --> 00:14:55,160
Speaker 2: and do man on the street interviews, right, you'd be like,

281
00:14:55,200 --> 00:14:56,520
Speaker 2: what do you think about this? And then it just

282
00:14:56,520 --> 00:14:58,960
Speaker 2: be some Yahoo just like my dang's crazy.

283
00:15:01,240 --> 00:15:05,280
Speaker 1: I had a TV exec like, oh god, eight years ago,

284
00:15:05,560 --> 00:15:08,120
Speaker 1: just be like, no, just don't have any characters texting

285
00:15:08,120 --> 00:15:10,800
Speaker 1: on TV. Nobody wants to see it. Nobody. And then

286
00:15:10,880 --> 00:15:15,160
Speaker 1: now gen Z and I think Jen Alfa love close

287
00:15:15,240 --> 00:15:18,240
Speaker 1: captioning on TV like seventy six percent or whatever that

288
00:15:18,320 --> 00:15:21,040
Speaker 1: was when I watch a story, yeah, and you're like, oh,

289
00:15:21,080 --> 00:15:23,480
Speaker 1: so they love text on TV. You're so wrong, Like

290
00:15:23,640 --> 00:15:28,040
Speaker 1: they this older guy just totally incorrectly because now it's like,

291
00:15:28,080 --> 00:15:30,080
Speaker 1: you know, before I understood people like, oh it's not

292
00:15:30,120 --> 00:15:32,360
Speaker 1: fun to read on the screen, But I actually think

293
00:15:32,400 --> 00:15:35,800
Speaker 1: people now read texts so fast. It's not like the

294
00:15:35,840 --> 00:15:38,640
Speaker 1: scrolling screen at the beginning of Star Wars where you're like, okay,

295
00:15:38,680 --> 00:15:41,240
Speaker 1: don't miss a word, so we can understand. It's just

296
00:15:41,840 --> 00:15:44,120
Speaker 1: the hard part now is making it seem authentically a

297
00:15:44,160 --> 00:15:45,160
Speaker 1: real text message.

298
00:15:45,480 --> 00:15:48,280
Speaker 2: Oh yeah, yeah, yeah right, and also in a way

299
00:15:48,680 --> 00:15:51,400
Speaker 2: and to put it up on screen in a way

300
00:15:51,760 --> 00:15:55,800
Speaker 2: that is new but also makes like inherent sense that

301
00:15:55,920 --> 00:15:58,280
Speaker 2: like is a functional way to like read text that

302
00:15:58,360 --> 00:16:02,840
Speaker 2: someone's typing. So that scroll from Star Wars. Never has

303
00:16:02,920 --> 00:16:05,320
Speaker 2: there been less needed information.

304
00:16:08,560 --> 00:16:12,240
Speaker 1: Yeah, like what this is? I don't even remember what

305
00:16:12,320 --> 00:16:12,640
Speaker 1: it is.

306
00:16:13,160 --> 00:16:15,240
Speaker 2: Yeah, it's just like it's said, it's just like I

307
00:16:15,280 --> 00:16:17,920
Speaker 2: don't know. We haven't started the movie yet, pal, and

308
00:16:18,000 --> 00:16:20,880
Speaker 2: all of this is some deep backstory.

309
00:16:20,480 --> 00:16:25,240
Speaker 1: Just so much exposition. But yeah, yeah, good score, John Williams,

310
00:16:25,240 --> 00:16:27,320
Speaker 1: good score. Yeah, that's all you're like, and with the

311
00:16:27,400 --> 00:16:28,440
Speaker 1: music right away.

312
00:16:28,640 --> 00:16:31,040
Speaker 2: If one thing is if one thing is stupid, another

313
00:16:31,080 --> 00:16:31,680
Speaker 2: thing is good.

314
00:16:32,040 --> 00:16:34,560
Speaker 1: Also just funny. That's called Star Wars. And then there

315
00:16:34,640 --> 00:16:37,400
Speaker 1: was Star Trek just this basic names just getting it

316
00:16:37,560 --> 00:16:39,360
Speaker 1: right to the point.

317
00:16:39,280 --> 00:16:43,080
Speaker 2: Right, yeah, yeah, because when things become a brand or

318
00:16:43,440 --> 00:16:46,160
Speaker 2: like that, you stop thinking of them as words in

319
00:16:46,200 --> 00:16:46,720
Speaker 2: a sentence.

320
00:16:46,840 --> 00:16:47,000
Speaker 1: Right.

321
00:16:47,480 --> 00:16:51,640
Speaker 2: Star Wars is the dumbest name you could possibly imagine

322
00:16:51,640 --> 00:16:54,040
Speaker 2: for that. It's literally and the only way you can

323
00:16:54,040 --> 00:16:55,880
Speaker 2: see it is if you just like switch it out

324
00:16:55,920 --> 00:16:58,360
Speaker 2: to like Sun Battle, you know, and you're just like,

325
00:16:58,360 --> 00:17:01,040
Speaker 2: if something was called Sun Battle, it would be It's

326
00:17:01,240 --> 00:17:03,480
Speaker 2: that sounds very stupid.

327
00:17:03,280 --> 00:17:06,040
Speaker 1: You know. There was an executive who tried to change

328
00:17:06,080 --> 00:17:08,120
Speaker 1: the name of Back to the Future because he thought

329
00:17:08,160 --> 00:17:10,840
Speaker 1: it was so niche and sci fi, and he suggested

330
00:17:10,920 --> 00:17:14,080
Speaker 1: to Steven Spielberg and Robert Zemeckis that they change it

331
00:17:14,119 --> 00:17:19,680
Speaker 1: to Spaceman from Pluto. What really, that's an old that's

332
00:17:19,720 --> 00:17:22,199
Speaker 1: old Hollywood, that's like that, that's something. It was a

333
00:17:22,240 --> 00:17:25,080
Speaker 1: memorandum that got sent out and it was like, if

334
00:17:25,119 --> 00:17:27,240
Speaker 1: you call it back to the Future, you're only gonna

335
00:17:27,240 --> 00:17:30,399
Speaker 1: get niche sci fi fans. It's going to kill the

336
00:17:30,440 --> 00:17:33,400
Speaker 1: size of this movie song and then space I think

337
00:17:33,720 --> 00:17:37,040
Speaker 1: I'm ninety nine percent sure a Spaceman from Pluto was

338
00:17:37,400 --> 00:17:40,560
Speaker 1: his pitch, which is the most niche name. And also

339
00:17:41,040 --> 00:17:44,600
Speaker 1: nothing about that movie takes place in outer space. No,

340
00:17:44,760 --> 00:17:46,960
Speaker 1: he's a spaceman. They don't.

341
00:17:47,000 --> 00:17:51,040
Speaker 2: Well, I think they call him a spaceman from Pluto

342
00:17:51,320 --> 00:17:52,960
Speaker 2: when he like has his helmet down.

343
00:17:53,040 --> 00:17:56,159
Speaker 1: That's right, they have the welding mass down or whatever. Yes, once,

344
00:17:56,240 --> 00:17:58,240
Speaker 1: but it's just like, come on, man.

345
00:17:58,600 --> 00:18:01,600
Speaker 2: That is so Also, I've I mean, like we were

346
00:18:01,640 --> 00:18:04,760
Speaker 2: talking about this when we did our Kristin Shaw episode.

347
00:18:04,880 --> 00:18:07,760
Speaker 2: I think this will come out after that one comes out.

348
00:18:08,640 --> 00:18:10,720
Speaker 2: But that idea, and I've been thinking about it a

349
00:18:10,760 --> 00:18:16,680
Speaker 2: lot as well. Of not, I so often take other

350
00:18:16,720 --> 00:18:21,639
Speaker 2: people's opinion as fact without interrogating it. I don't know.

351
00:18:21,720 --> 00:18:26,080
Speaker 2: It's like I lack a filter for it often times,

352
00:18:26,119 --> 00:18:29,440
Speaker 2: and I'm trying to engage that filter more often.

353
00:18:29,880 --> 00:18:31,760
Speaker 1: Do you think it's because you're going on the defensive

354
00:18:31,920 --> 00:18:36,359
Speaker 1: instantly you're building your counter argument. No, it's not.

355
00:18:37,440 --> 00:18:40,359
Speaker 2: No, it's the opposite. It's like if I read something

356
00:18:40,440 --> 00:18:43,680
Speaker 2: or watch something on television, or someone says something, I'll

357
00:18:43,720 --> 00:18:47,960
Speaker 2: be like, oh, well that must be right, Like immediately

358
00:18:48,200 --> 00:18:50,719
Speaker 2: I'll be like, I'll just immediately entertain it it as

359
00:18:50,720 --> 00:18:53,600
Speaker 2: if it's true, and I'll be like, oh, well that's

360
00:18:53,680 --> 00:18:56,040
Speaker 2: the right way to live? Is that the right? I

361
00:18:56,080 --> 00:18:58,000
Speaker 2: guess that's the right way to live. It's more like that.

362
00:18:58,040 --> 00:18:59,680
Speaker 2: It's like, oh, I guess that is the right.

363
00:18:59,600 --> 00:19:01,840
Speaker 1: Way to It's good to be open minded, but maybe

364
00:19:01,880 --> 00:19:04,080
Speaker 1: you're too you're wide open minded.

365
00:19:04,280 --> 00:19:08,600
Speaker 2: I think I'm too open minded and just need to

366
00:19:08,600 --> 00:19:10,919
Speaker 2: stick to my guns more. Need to stick to my

367
00:19:11,000 --> 00:19:11,520
Speaker 2: guns more.

368
00:19:11,720 --> 00:19:14,600
Speaker 1: Hey, you've you've got a few years under your belt,

369
00:19:14,600 --> 00:19:16,960
Speaker 1: You've got life experiences, you know what the truth is?

370
00:19:17,240 --> 00:19:19,439
Speaker 2: That is maybe what it is. More, it's just like

371
00:19:19,840 --> 00:19:23,040
Speaker 2: I've been around a little long enough to know like that,

372
00:19:23,080 --> 00:19:23,520
Speaker 2: ain't it?

373
00:19:23,960 --> 00:19:24,399
Speaker 1: That ain't it?

374
00:19:24,440 --> 00:19:26,639
Speaker 2: But also to be able to stick to your guns

375
00:19:26,680 --> 00:19:28,640
Speaker 2: while also still being collaborative.

376
00:19:29,960 --> 00:19:33,600
Speaker 1: That's a challenge, it is. Yeah, you have to get

377
00:19:33,640 --> 00:19:37,199
Speaker 1: strategic in those instances like I recently got send an

378
00:19:37,200 --> 00:19:39,600
Speaker 1: email and the directors on a producers on it in

379
00:19:39,680 --> 00:19:43,359
Speaker 1: suscript I wrote, and we get sent these agencies and talentless.

380
00:19:43,400 --> 00:19:46,560
Speaker 1: And there's always a battle because some people are the

381
00:19:46,560 --> 00:19:49,600
Speaker 1: perfect actor for it, but they can't get you the money,

382
00:19:49,640 --> 00:19:52,040
Speaker 1: they can't get financing because they're just not famous enough.

383
00:19:52,800 --> 00:19:55,000
Speaker 1: That's certain, and it's a big balance where you go

384
00:19:55,080 --> 00:19:58,879
Speaker 1: on through it. Right now, that person's perfect, but investors

385
00:19:58,880 --> 00:20:01,320
Speaker 1: won't give us five million if that person's the lead,

386
00:20:01,600 --> 00:20:03,479
Speaker 1: and then they go, but if you get this actor,

387
00:20:03,760 --> 00:20:05,960
Speaker 1: we'll give you ten million, and that person is totally

388
00:20:06,000 --> 00:20:07,679
Speaker 1: wrong for it. And this happens a lot, and this

389
00:20:07,720 --> 00:20:11,840
Speaker 1: is why so many movies are terrible. But yes, but

390
00:20:12,200 --> 00:20:13,959
Speaker 1: there's an actor on one of the lists that I

391
00:20:14,000 --> 00:20:17,200
Speaker 1: think is perfect for it. So and I wrote the

392
00:20:17,200 --> 00:20:19,200
Speaker 1: script and it wasn't the actor I had in mind.

393
00:20:19,200 --> 00:20:22,239
Speaker 1: But then he's emerged and gotten better and better. And

394
00:20:22,320 --> 00:20:25,240
Speaker 1: so in one of those emails responding to the producer

395
00:20:25,240 --> 00:20:27,760
Speaker 1: and the director, I put him like fourth on my

396
00:20:28,280 --> 00:20:31,879
Speaker 1: picks and was like, this person's great because of this

397
00:20:31,880 --> 00:20:34,280
Speaker 1: this person's amazing. We'd be lucky to get this person

398
00:20:34,280 --> 00:20:36,159
Speaker 1: like somebody way too famous, somebody with like an oscar

399
00:20:36,200 --> 00:20:38,280
Speaker 1: and stuff. And then I was like, and this guy

400
00:20:38,880 --> 00:20:41,560
Speaker 1: is just someone that if I saw him walking down

401
00:20:41,600 --> 00:20:43,280
Speaker 1: the street, I would think it was that character. So

402
00:20:43,320 --> 00:20:46,400
Speaker 1: I didn't even like pitch him hard. And I can

403
00:20:46,480 --> 00:20:49,560
Speaker 1: already feel, like a month after I sent that email

404
00:20:49,880 --> 00:20:51,520
Speaker 1: that they're like, you know, it might be good, and

405
00:20:51,560 --> 00:20:53,639
Speaker 1: it's the person that I was hoping was going to be.

406
00:20:54,160 --> 00:20:56,520
Speaker 1: So I kind of it's more like planning a seed

407
00:20:56,880 --> 00:20:59,280
Speaker 1: and not pushing your agenda on other people and letting

408
00:20:59,320 --> 00:21:03,480
Speaker 1: them be like, yeah, that could work out. And I've

409
00:21:03,480 --> 00:21:05,840
Speaker 1: always done that, and it's a good way to sort

410
00:21:05,840 --> 00:21:09,600
Speaker 1: of steer creative in your direction without being like it's

411
00:21:09,680 --> 00:21:13,800
Speaker 1: this or nothing at all, right, yeah, which nobody likes.

412
00:21:14,240 --> 00:21:16,840
Speaker 2: No, no one does like it, do they? But also

413
00:21:16,880 --> 00:21:18,960
Speaker 2: you have to be very comfortable with someone just ignoring

414
00:21:18,960 --> 00:21:19,760
Speaker 2: the fourth choice.

415
00:21:20,000 --> 00:21:22,160
Speaker 1: Oh sure, and what do I care. Let's just get

416
00:21:22,160 --> 00:21:25,199
Speaker 1: stuff made. At this point, it's no longer an art.

417
00:21:25,240 --> 00:21:28,360
Speaker 1: It's a pure business. My first draft I think is art,

418
00:21:28,400 --> 00:21:31,680
Speaker 1: and then every draft after that, I'm like, now it's business. Yep.

419
00:21:32,119 --> 00:21:33,840
Speaker 2: Yeah right, that's interesting.

420
00:21:34,080 --> 00:21:38,879
Speaker 1: That's how I always look at it. Yeah I can.

421
00:21:39,880 --> 00:21:44,199
Speaker 1: Here's one. Jack Bayer sent this in California. Man pleads

422
00:21:44,240 --> 00:21:47,440
Speaker 1: guilty to a Ponzi scheme after trying to evade the

423
00:21:47,480 --> 00:21:53,680
Speaker 1: FBI with a submarine. You underwater scooter, I thought it is.

424
00:21:53,880 --> 00:21:57,480
Speaker 1: Then the headline does say submarine, and it's crazy. We

425
00:21:57,480 --> 00:21:59,560
Speaker 1: we did do the first version of the story because

426
00:21:59,560 --> 00:22:01,600
Speaker 1: it was like a Lea chase. So this was an

427
00:22:01,720 --> 00:22:06,000
Speaker 1: sf Gate, which is good. I like SFGate. Madlin Medina

428
00:22:06,080 --> 00:22:08,359
Speaker 1: wrote this and she's the best in the Underwater biz.

429
00:22:08,960 --> 00:22:11,919
Speaker 1: A Northern California man pleaded guilty Thursday to a Ponzi

430
00:22:12,000 --> 00:22:14,800
Speaker 1: like fraud scheme following his arrest in twenty twenty. What

431
00:22:14,880 --> 00:22:17,960
Speaker 1: a year, What a great years? Oh nothing went wrong

432
00:22:18,560 --> 00:22:21,320
Speaker 1: when he tried to escape the FBI using a submarine

433
00:22:21,320 --> 00:22:24,760
Speaker 1: in Shasta Lake. Matthew Piercy, forty eight year old from

434
00:22:24,760 --> 00:22:28,959
Speaker 1: Palos Adro, admitted to wired fraud, money laundering, and witness

435
00:22:29,000 --> 00:22:32,600
Speaker 1: tampering in the thirty five million investment fraud scheme that

436
00:22:32,680 --> 00:22:37,040
Speaker 1: occurred from July twenty fifteen to August twenty twenty. The

437
00:22:37,160 --> 00:22:40,320
Speaker 1: USA Attorney's Office in the Eastern District of California said

438
00:22:40,359 --> 00:22:44,560
Speaker 1: in a news release. In the operation, Piercy's scam investors

439
00:22:44,600 --> 00:22:48,400
Speaker 1: by making fall statements under the guise of two investment companies.

440
00:22:49,000 --> 00:22:53,560
Speaker 1: Now when I say the name of these two investment companies,

441
00:22:53,640 --> 00:22:56,359
Speaker 1: you really realize that this guy was pretty smart because

442
00:22:56,400 --> 00:23:01,399
Speaker 1: they sound real. Okay. First in first fake investment company

443
00:23:01,480 --> 00:23:06,960
Speaker 1: was Family Wealth Legacy. Okay, saints real. If somebody told

444
00:23:06,960 --> 00:23:09,080
Speaker 1: you their money was tied up in Family Wealth Legacy

445
00:23:09,119 --> 00:23:11,520
Speaker 1: and they were making eight percent every year, you'd be like,

446
00:23:13,000 --> 00:23:17,640
Speaker 1: send me the documentation. And then the other was Zola

447
00:23:18,160 --> 00:23:20,400
Speaker 1: z O L La sounds real.

448
00:23:20,720 --> 00:23:27,880
Speaker 2: Oh yeah, that seems more like Zala, zalaze lla, Zala sure, zalazala,

449
00:23:27,920 --> 00:23:28,520
Speaker 2: bill baby.

450
00:23:28,680 --> 00:23:32,800
Speaker 1: Yeah. So it's it's close to zillo, it's close to dollar, it's.

451
00:23:32,640 --> 00:23:34,320
Speaker 2: Close to zillions of dollars.

452
00:23:34,560 --> 00:23:40,040
Speaker 1: It's wealth, family, Wealth, legacy, and Zala. Pretty good names.

453
00:23:40,080 --> 00:23:41,800
Speaker 1: This guy's not a total dummy.

454
00:23:42,200 --> 00:23:44,199
Speaker 2: No, I mean he's got an underwater scooter.

455
00:23:44,560 --> 00:23:48,120
Speaker 1: Yeah, he's he's living with you. If you're evading anything

456
00:23:48,160 --> 00:23:51,200
Speaker 1: in your life with an underwater scooter, you've done pretty good.

457
00:23:51,720 --> 00:23:56,199
Speaker 1: Perc lied to investors about an upvesting fund, which was

458
00:23:56,240 --> 00:24:01,720
Speaker 1: supposedly a successful automated algorithmic trading fund. Oof Pierce used

459
00:24:01,720 --> 00:24:03,879
Speaker 1: the investor money to pay on their investors. The attorney's

460
00:24:03,880 --> 00:24:06,400
Speaker 1: office said, eventually he was investing. Yeah.

461
00:24:06,920 --> 00:24:09,359
Speaker 2: That the people who get in first, who got the money.

462
00:24:09,880 --> 00:24:12,879
Speaker 1: Yeah. He eventually used a chiropractor business in read in

463
00:24:12,920 --> 00:24:16,200
Speaker 1: California conceal his operation and money. He gained thirty five

464
00:24:16,359 --> 00:24:20,120
Speaker 1: million in investment funds, but paid investors eight point eight

465
00:24:20,160 --> 00:24:22,359
Speaker 1: million over the course of the scheme and spent the

466
00:24:22,400 --> 00:24:25,160
Speaker 1: rest of his money on personal and business expenses, such

467
00:24:25,160 --> 00:24:29,280
Speaker 1: as two residential properties and paying a criminal defense firm yes,

468
00:24:29,440 --> 00:24:32,120
Speaker 1: I could see that some people invested their life savings

469
00:24:32,119 --> 00:24:35,840
Speaker 1: in the Pierces company. The FBI Sacramental Special Agent Sid

470
00:24:35,880 --> 00:24:40,159
Speaker 1: Patel said Piercy eventually realized he was under investigation and

471
00:24:40,200 --> 00:24:43,399
Speaker 1: tried to discourage investors and witnesses from speaking in court.

472
00:24:43,480 --> 00:24:47,240
Speaker 1: That slowed down the court process, and Piercy illegally transferred

473
00:24:47,240 --> 00:24:51,159
Speaker 1: seven hundred and seventy five thousand dollars from his investors

474
00:24:51,160 --> 00:24:53,640
Speaker 1: to one of his bank accounts, So that's not good.

475
00:24:54,200 --> 00:24:57,000
Speaker 1: The authorities tracked him down November sixteenth, twenty twenty, and

476
00:24:57,040 --> 00:24:59,160
Speaker 1: attempted to rest him. He led them on a high

477
00:24:59,160 --> 00:25:01,680
Speaker 1: speed vehicle chase or nearby neighborhoods and then out onto

478
00:25:01,720 --> 00:25:04,760
Speaker 1: the highway. Piercy then left his vehicle and tried to

479
00:25:04,880 --> 00:25:09,000
Speaker 1: escape into Shasta Lake using an underwater submersiful device, hiding

480
00:25:09,080 --> 00:25:12,919
Speaker 1: underwater for over twenty minutes before being taken into custody.

481
00:25:13,640 --> 00:25:15,800
Speaker 2: I mean, like, okay, so that means he so he

482
00:25:15,960 --> 00:25:20,240
Speaker 2: was driving, he had it on him and it must

483
00:25:20,240 --> 00:25:22,439
Speaker 2: have been his plan the whole time. But also what

484
00:25:22,560 --> 00:25:25,920
Speaker 2: it doesn't explain because that's what we I think talked

485
00:25:25,960 --> 00:25:28,520
Speaker 2: about it because I was I'm looking at an underwater

486
00:25:28,560 --> 00:25:31,840
Speaker 2: scooter that has a helmet attached in it. I could

487
00:25:31,840 --> 00:25:34,119
Speaker 2: get them scooter, yeah, but you can't put that in

488
00:25:34,160 --> 00:25:35,320
Speaker 2: a car. It's too big.

489
00:25:35,359 --> 00:25:35,919
Speaker 1: You can't put that.

490
00:25:35,960 --> 00:25:38,320
Speaker 2: And also the way I'm seeing it is like it's

491
00:25:38,520 --> 00:25:42,320
Speaker 2: it has to be attached to a like a tube

492
00:25:42,359 --> 00:25:45,640
Speaker 2: that like pumps the air down to you. So that's

493
00:25:45,680 --> 00:25:47,399
Speaker 2: not something you can keep a car like a regular

494
00:25:47,440 --> 00:25:49,600
Speaker 2: undersqwater scooter where it's just like the thing you could

495
00:25:49,680 --> 00:25:51,959
Speaker 2: keep that where it's like you hold on to it.

496
00:25:52,000 --> 00:25:55,760
Speaker 2: But maybe he must have had a pony bottles.

497
00:25:55,320 --> 00:25:55,879
Speaker 1: Like a pony.

498
00:25:56,400 --> 00:25:57,600
Speaker 2: He must have had all the stuff.

499
00:25:57,640 --> 00:25:57,800
Speaker 1: Though.

500
00:25:57,840 --> 00:26:01,359
Speaker 2: That's the craziest part that he's like driving, putting goggles on,

501
00:26:01,640 --> 00:26:03,920
Speaker 2: putting a ponium bottle in his mouth, getting his dig

502
00:26:04,000 --> 00:26:06,680
Speaker 2: out and then immediately jump. I mean, it's so crazy.

503
00:26:06,840 --> 00:26:10,480
Speaker 1: They just get so there these criminals. This happens all

504
00:26:10,520 --> 00:26:12,760
Speaker 1: the time. I mean, I feel like this, this Ponzi

505
00:26:12,760 --> 00:26:15,520
Speaker 1: scheme shit happens constantly, and they all get so greedy

506
00:26:15,560 --> 00:26:20,240
Speaker 1: because like at some point he what was it, thirty

507
00:26:20,320 --> 00:26:22,560
Speaker 1: five million and eight point eight million, so there's twenty

508
00:26:22,600 --> 00:26:25,560
Speaker 1: million in flux in there. It's like that guy couldn't

509
00:26:25,560 --> 00:26:27,960
Speaker 1: have taken that money. And put in an offshore account

510
00:26:28,000 --> 00:26:30,679
Speaker 1: and gone to a country that doesn't have extradition and

511
00:26:30,960 --> 00:26:34,280
Speaker 1: just lived like a royal for the rest of But

512
00:26:34,320 --> 00:26:36,479
Speaker 1: they never do. And it's so interesting.

513
00:26:36,480 --> 00:26:39,240
Speaker 2: It's interesting because it's more. It's the idea of more

514
00:26:39,280 --> 00:26:43,520
Speaker 2: and more and more. It's honestly the problem with great

515
00:26:43,560 --> 00:26:46,560
Speaker 2: wealth in general. Right, It's like, once you hit a

516
00:26:46,600 --> 00:26:49,000
Speaker 2: point where you're like, everything's taken care of.

517
00:26:49,000 --> 00:26:50,120
Speaker 1: Man forever, I can live.

518
00:26:50,160 --> 00:26:53,440
Speaker 2: Well, I can live in this gigantic house I might.

519
00:26:53,560 --> 00:26:55,480
Speaker 2: I can eat whatever I want, I can do whatever

520
00:26:55,520 --> 00:26:57,479
Speaker 2: I want. My children can do it. My children can

521
00:26:57,520 --> 00:27:00,399
Speaker 2: have an education edge, their children can be fine. And

522
00:27:00,440 --> 00:27:03,840
Speaker 2: then there's still want more. There's a fucking problem. It's

523
00:27:03,920 --> 00:27:08,240
Speaker 2: the it's it's like that. It's like anxiety, do you

524
00:27:08,320 --> 00:27:10,160
Speaker 2: know what I mean? Like the fact that anxiety comes

525
00:27:10,160 --> 00:27:13,480
Speaker 2: from an evolutionary stage where we needed to be ready

526
00:27:13,480 --> 00:27:16,520
Speaker 2: for a predator to attack us from behind. In the

527
00:27:16,600 --> 00:27:18,720
Speaker 2: same way, it's like no, no, no, you need to

528
00:27:18,760 --> 00:27:21,640
Speaker 2: get more food because we're always going to be at

529
00:27:21,760 --> 00:27:25,920
Speaker 2: risk of not having enough food. No evolutionary drive to

530
00:27:26,440 --> 00:27:27,960
Speaker 2: hide your nuts in the ground.

531
00:27:28,119 --> 00:27:30,840
Speaker 1: Right, Yeah, that's right, and some and then is that

532
00:27:31,000 --> 00:27:33,320
Speaker 1: and right in modern society. It just takes the worst

533
00:27:33,359 --> 00:27:36,600
Speaker 1: forms and destroys lives. Yes, but it is interesting to

534
00:27:36,640 --> 00:27:40,600
Speaker 1: think of, like who psychopaths and serial killer types would

535
00:27:40,600 --> 00:27:43,520
Speaker 1: have been, Like fifteen thousand years ago, when everybody else

536
00:27:43,600 --> 00:27:46,720
Speaker 1: is hiding in a cave and there's a lion outside

537
00:27:46,840 --> 00:27:49,200
Speaker 1: and it was like, Hey, Gary, what are you doing?

538
00:27:49,280 --> 00:27:51,719
Speaker 1: He's like, I'm gonna go kill that lion. And then you're like,

539
00:27:51,840 --> 00:27:54,960
Speaker 1: all right, man, go get it, dude. And it's like,

540
00:27:55,000 --> 00:27:59,159
Speaker 1: those guys were so valuable back then, Hey, what are

541
00:27:59,160 --> 00:28:02,040
Speaker 1: you doing over there? I think those guys are against us.

542
00:28:02,080 --> 00:28:03,760
Speaker 1: What are you gonna do? I'm gonna charm them and

543
00:28:03,760 --> 00:28:06,199
Speaker 1: then murder all of them. So we're okay. You're like, Gary,

544
00:28:06,800 --> 00:28:09,440
Speaker 1: you're bat in a thousand for us. Man, we're evolving

545
00:28:09,560 --> 00:28:13,120
Speaker 1: so fast, Thank you. I can see the advantage.

546
00:28:13,760 --> 00:28:18,120
Speaker 2: He's fascinating, really, like our history is our flaw right,

547
00:28:18,160 --> 00:28:21,320
Speaker 2: I mean that's everybody right. Like where you come from

548
00:28:21,520 --> 00:28:24,760
Speaker 2: is what becomes your problem in the future.

549
00:28:25,160 --> 00:28:29,399
Speaker 1: Mmmm, It's really true. Pierc So the Criminal. While he

550
00:28:29,440 --> 00:28:32,040
Speaker 1: was in jail, Piercy used a coded language to speak

551
00:28:32,080 --> 00:28:34,760
Speaker 1: with visitors, the attorney's office said, and then he directed

552
00:28:34,760 --> 00:28:36,760
Speaker 1: them to a Uhul storage locker and reading he had

553
00:28:36,760 --> 00:28:38,760
Speaker 1: mentioned under fake name. So this guy was doing a

554
00:28:38,800 --> 00:28:41,440
Speaker 1: lot of planning and scheming. Yeah, when the FBI starts

555
00:28:41,440 --> 00:28:45,840
Speaker 1: the locker agents found a wig just one in thirty

556
00:28:45,880 --> 00:28:48,880
Speaker 1: one thousand in Swiss francs, which is around thirty seven

557
00:28:48,920 --> 00:28:52,520
Speaker 1: thousand American. Pierce's scheduled to be sentenced and could face

558
00:28:52,600 --> 00:28:56,440
Speaker 1: twenty years in prison for fraud and at least one

559
00:28:56,480 --> 00:28:57,680
Speaker 1: million dollars in fines.

560
00:28:58,080 --> 00:29:00,720
Speaker 2: Yeah, Noad, he's gonna think it's suspicious when you try

561
00:29:00,760 --> 00:29:06,160
Speaker 2: and pay for gas with one Swiss Frank. Don't worry.

562
00:29:07,760 --> 00:29:10,560
Speaker 2: I've got it. I've got an escape planet. It's perfect.

563
00:29:11,000 --> 00:29:12,959
Speaker 2: Is this all Swiss frigs, buddy?

564
00:29:13,720 --> 00:29:18,280
Speaker 1: Yeah, especially in Redding, California. Read in California. Oh my gosh.

565
00:29:18,360 --> 00:29:23,680
Speaker 1: Maybe in Solvang that would fly. It's every scam though. Man.

566
00:29:23,760 --> 00:29:27,200
Speaker 1: It's like when you when you realize the last time

567
00:29:27,240 --> 00:29:29,120
Speaker 1: I got hit with one of these was, you know,

568
00:29:29,160 --> 00:29:31,920
Speaker 1: I mailed so much stuff and I got a text

569
00:29:31,920 --> 00:29:34,760
Speaker 1: from USPS, you know, fake number, and it was like, hey,

570
00:29:34,840 --> 00:29:38,479
Speaker 1: we're returning this, confirm your whatever, and I can, And

571
00:29:38,520 --> 00:29:41,000
Speaker 1: I started typing in my real address and every my

572
00:29:41,040 --> 00:29:45,080
Speaker 1: PO box, all this stuff and uh, and I was

573
00:29:45,840 --> 00:29:48,800
Speaker 1: so close to putting all but I was going down

574
00:29:48,840 --> 00:29:50,880
Speaker 1: the path. I had clicked the link. It looked like

575
00:29:50,920 --> 00:29:54,040
Speaker 1: the USPS website. And then at some point it was like,

576
00:29:54,120 --> 00:29:57,480
Speaker 1: and what are the three you know code on your

577
00:29:57,480 --> 00:30:00,840
Speaker 1: credit card? And I was like, oh wait, but I

578
00:30:01,080 --> 00:30:04,040
Speaker 1: was real close to giving them a credit card.

579
00:30:03,920 --> 00:30:06,360
Speaker 2: Right, isn't that crazy? I mean I did it the

580
00:30:06,360 --> 00:30:08,480
Speaker 2: other like, I don't know, maybe a couple of months ago.

581
00:30:08,960 --> 00:30:14,960
Speaker 2: But Lauren was like, I called them. I called them.

582
00:30:15,120 --> 00:30:20,160
Speaker 2: I googled like City Bank fraud. And then the first

583
00:30:20,160 --> 00:30:23,040
Speaker 2: thing I was like, a sponsored response came up and

584
00:30:23,120 --> 00:30:25,920
Speaker 2: it was the people who were trying to fraud me.

585
00:30:26,640 --> 00:30:29,120
Speaker 2: It was so crazy, and it sounded like I was

586
00:30:29,120 --> 00:30:30,840
Speaker 2: talking to City Bank the whole time. And then I

587
00:30:30,880 --> 00:30:33,560
Speaker 2: was like whoa, whoa, whoa, whoa double art. And then

588
00:30:33,600 --> 00:30:35,520
Speaker 2: I called the other City Bank number that was the

589
00:30:35,560 --> 00:30:37,360
Speaker 2: real one, and they're like, no, you have no record

590
00:30:37,400 --> 00:30:37,840
Speaker 2: of any of this.

591
00:30:38,840 --> 00:30:43,000
Speaker 1: They're out there, folks. Be vigilant, don't check Google everything,

592
00:30:43,040 --> 00:30:46,320
Speaker 1: call your friends, don't give anybody your credit card information. Geez,

593
00:30:46,360 --> 00:30:50,160
Speaker 1: they're coming for you. And sometimes they have wigs, Swiss

594
00:30:50,200 --> 00:30:54,400
Speaker 1: Franks and submersibul devices standing.

595
00:30:54,000 --> 00:30:58,400
Speaker 2: By, got some thumbs up, going you ready?

596
00:30:58,520 --> 00:30:59,479
Speaker 1: Oh, I got some thumbs up.

597
00:30:59,480 --> 00:31:06,520
Speaker 2: Sure, Noisy hungry frogs Sat in Farmer's Life. Yeah, these

598
00:31:06,520 --> 00:31:07,840
Speaker 2: are my new favorite ones.

599
00:31:08,360 --> 00:31:10,200
Speaker 1: I know, man, I was at say Lucia once and

600
00:31:10,240 --> 00:31:12,360
Speaker 1: they have like trumpet frogs or some kind of frogs

601
00:31:12,360 --> 00:31:15,000
Speaker 1: that it just sounds like a screaming whistle sound over

602
00:31:15,080 --> 00:31:17,479
Speaker 1: and then you find them and they're as big as like, oh,

603
00:31:17,520 --> 00:31:20,600
Speaker 1: they're like an eminem really. Yeah, I got to look

604
00:31:20,640 --> 00:31:22,240
Speaker 1: up the name of these things, but I'm like, what

605
00:31:22,360 --> 00:31:24,680
Speaker 1: is that screeching sound? Sat Luis.

606
00:31:24,720 --> 00:31:26,880
Speaker 2: Oh, oh, I'm going to look up something too. I'm

607
00:31:26,880 --> 00:31:28,800
Speaker 2: going to look up something too. That's pretty exciting.

608
00:31:28,880 --> 00:31:34,200
Speaker 1: The Lesser Antillian whistling frog the West, what it is

609
00:31:34,280 --> 00:31:37,280
Speaker 1: adorable there. They could fit on your fingertip and they

610
00:31:37,360 --> 00:31:47,600
Speaker 1: are so loud. Lesser Antillian whistling frog. I God bless them. Well.

611
00:31:47,720 --> 00:31:52,000
Speaker 2: Last time I went, so, you know, I from eighteen

612
00:31:52,080 --> 00:31:54,320
Speaker 2: on I went to this land.

613
00:31:54,680 --> 00:31:55,560
Speaker 1: We called it Crow.

614
00:31:56,120 --> 00:31:59,280
Speaker 2: It's an upstate New York. And last time I went

615
00:32:00,520 --> 00:32:02,880
Speaker 2: was like, you know, I guess it was.

616
00:32:02,920 --> 00:32:08,719
Speaker 4: In twenty twenty one or something like that, and it

617
00:32:08,760 --> 00:32:11,320
Speaker 4: was springtime, but very early springtime, and there was a

618
00:32:11,360 --> 00:32:12,920
Speaker 4: little bit of a pond there, and so it was

619
00:32:12,960 --> 00:32:14,760
Speaker 4: the we call them the people, don't.

620
00:32:15,120 --> 00:32:17,040
Speaker 2: I don't know what kind of frogs they are. We

621
00:32:17,120 --> 00:32:20,840
Speaker 2: call them the peepers, and the spring peepers were out

622
00:32:21,480 --> 00:32:26,560
Speaker 2: and it was so overwhelmingly loud.

623
00:32:26,720 --> 00:32:27,520
Speaker 1: Yeah, they're loud.

624
00:32:28,080 --> 00:32:30,960
Speaker 2: It was the craziest thing I've ever heard. And I

625
00:32:31,000 --> 00:32:32,920
Speaker 2: took a video of it because I was like, this

626
00:32:33,000 --> 00:32:36,720
Speaker 2: is genuinely shocking. Yes, and let me see if I

627
00:32:36,760 --> 00:32:37,760
Speaker 2: can find it for us.

628
00:32:38,360 --> 00:32:41,200
Speaker 1: That's fun. Spring peepers, they really can let it rip too.

629
00:32:41,320 --> 00:32:45,160
Speaker 1: They're not unlike the lesser antillian whistling frog.

630
00:32:45,400 --> 00:32:49,040
Speaker 2: It really was genuinely like, oh, here it is, you're ready.

631
00:32:49,200 --> 00:32:57,400
Speaker 1: I'm ready, everybody, You've been warned. I can't hear it yet.

632
00:32:57,400 --> 00:33:00,120
Speaker 1: It might be coming through your headphones. It's like a

633
00:33:01,240 --> 00:33:01,720
Speaker 1: there we go.

634
00:33:06,840 --> 00:33:10,560
Speaker 3: I love the idea of somebody from the city.

635
00:33:10,640 --> 00:33:12,640
Speaker 1: City not picking it up on Mayan Curdy b.

636
00:33:15,360 --> 00:33:18,959
Speaker 2: It's loud. It's loud. It sounds like so it's us

637
00:33:19,120 --> 00:33:25,880
Speaker 2: very high. It's city in a bunch of tall weeds

638
00:33:26,000 --> 00:33:29,240
Speaker 2: just like it, just enveloped by these peepers, and it

639
00:33:29,360 --> 00:33:30,880
Speaker 2: just sounds like car alarms, like.

640
00:33:34,000 --> 00:33:36,840
Speaker 1: The torture of nature. Nature is uncomfortable. That's why we

641
00:33:36,880 --> 00:33:42,040
Speaker 1: built houses. Okay, herd Island, herd Island Pebble sent us

642
00:33:42,080 --> 00:33:45,640
Speaker 1: a pebble, Kurt. It's a gift from the penguins on

643
00:33:45,720 --> 00:33:48,920
Speaker 1: Herd Island. Now you're saying to you're somewhere is herd Island. Yeah,

644
00:33:49,040 --> 00:33:51,719
Speaker 1: herd Island is in what in Australia. I believe it's

645
00:33:51,720 --> 00:33:55,040
Speaker 1: called the Southern Ocean. We might call it the Antarctic Ocean.

646
00:33:55,120 --> 00:33:58,360
Speaker 1: It's so Herd Island is one of the most uninhabited

647
00:33:59,160 --> 00:34:01,640
Speaker 1: remote places. And oh it's uninhabited. It's one of the

648
00:34:01,680 --> 00:34:04,800
Speaker 1: most remote places in the World's between Australian and Antarctica.

649
00:34:04,920 --> 00:34:08,399
Speaker 1: It got hit with tariffs in April twenty twenty five,

650
00:34:08,520 --> 00:34:12,080
Speaker 1: even though it does not export anything. There's no there's

651
00:34:12,120 --> 00:34:15,600
Speaker 1: nothing to tariff. Oh my gosh. So one hundred percent

652
00:34:15,680 --> 00:34:19,120
Speaker 1: of the proceeds go to the Herd Island Penguin Conservation.

653
00:34:19,680 --> 00:34:22,480
Speaker 1: If you want to get a digital pebble or an

654
00:34:22,600 --> 00:34:25,479
Speaker 1: actual physical pebble that they mailed us, and it's small,

655
00:34:25,520 --> 00:34:28,280
Speaker 1: it's about the size of a quarter, but it's awesome.

656
00:34:28,840 --> 00:34:32,480
Speaker 1: The penguins there are sending pebbles around the world. Herd

657
00:34:32,640 --> 00:34:39,440
Speaker 1: Island Pebbles dot com pebble good or we follow them

658
00:34:39,440 --> 00:34:43,360
Speaker 1: on Instagram. They follow us on Instagram. It's Herd Island Pebbles.

659
00:34:43,400 --> 00:34:46,960
Speaker 1: That's h e a R. D Island Pebbles and you

660
00:34:47,000 --> 00:34:50,080
Speaker 1: can support the penguins on a remote island in the

661
00:34:50,280 --> 00:34:52,000
Speaker 1: absolute middle of nowhere.

662
00:34:52,120 --> 00:34:54,280
Speaker 2: Oh that's great. I love that so much.

663
00:34:54,360 --> 00:34:57,080
Speaker 1: Elizabeth and San Francisco wants to thumb herself up for

664
00:34:57,160 --> 00:35:00,560
Speaker 1: kicking a multi year weed dependence and then she enrolled

665
00:35:00,560 --> 00:35:03,160
Speaker 1: in library school and she finished her first year with

666
00:35:03,200 --> 00:35:04,200
Speaker 1: a four point zero.

667
00:35:04,400 --> 00:35:06,120
Speaker 2: Oh my god, that's awesome.

668
00:35:06,719 --> 00:35:08,120
Speaker 1: Thumbs up, Elizabeth.

669
00:35:08,200 --> 00:35:11,440
Speaker 2: We love library I love them so much. I love

670
00:35:11,600 --> 00:35:14,879
Speaker 2: library cited about there's a brand new library in the

671
00:35:14,880 --> 00:35:17,720
Speaker 2: town I'm moving to and it opens two days before

672
00:35:17,760 --> 00:35:19,320
Speaker 2: I arrive at can I wait.

673
00:35:19,560 --> 00:35:22,759
Speaker 1: You know we're controversial statement, but we're four books on

674
00:35:22,800 --> 00:35:29,000
Speaker 1: this podcast. I think reading and books are wonderful. Taylor Wickman. Okay,

675
00:35:29,000 --> 00:35:32,760
Speaker 1: so Taylor, and I email Taylor back because I don't

676
00:35:32,760 --> 00:35:36,839
Speaker 1: know if Taylor is a man or a woman or

677
00:35:37,000 --> 00:35:40,520
Speaker 1: a non binary pal. So I'm going to say them

678
00:35:40,560 --> 00:35:45,600
Speaker 1: and they and just cover all the bases. Sorry, Taylor.

679
00:35:45,760 --> 00:35:48,719
Speaker 1: Taylor Wickman wants a thumb up their partner, Jake, and

680
00:35:48,800 --> 00:35:52,880
Speaker 1: themselves for starting the process of conquering their personal fears.

681
00:35:53,320 --> 00:35:56,200
Speaker 1: Jake has a fear of driving, and despite this, he

682
00:35:56,320 --> 00:35:59,960
Speaker 1: recently started taking driving lessons with an instructor who specialized

683
00:36:00,320 --> 00:36:03,759
Speaker 1: in drivers with fear and anxiety, and on Mother's Day,

684
00:36:03,880 --> 00:36:07,319
Speaker 1: Jake did his first drive without the instructor's assistance.

685
00:36:07,760 --> 00:36:08,520
Speaker 2: Nice.

686
00:36:09,480 --> 00:36:12,480
Speaker 1: That takes some guts. Also, it is ridiculous that we

687
00:36:12,520 --> 00:36:15,160
Speaker 1: all have cars that people from sixteen to one hundred

688
00:36:15,200 --> 00:36:18,600
Speaker 1: years old drive a three thousand pound thing that can

689
00:36:18,600 --> 00:36:19,759
Speaker 1: go one hundred miles an hour.

690
00:36:20,120 --> 00:36:23,480
Speaker 2: Yep, it's it's preposterous.

691
00:36:23,560 --> 00:36:27,840
Speaker 1: And then fifty percent of us are below the average

692
00:36:27,880 --> 00:36:31,480
Speaker 1: intelligence and they are also allowed to steer a three

693
00:36:31,480 --> 00:36:36,319
Speaker 1: thousand pound rocket ship. So Jake, don't feel bad about

694
00:36:36,320 --> 00:36:38,800
Speaker 1: that fear. But good job conquering that fear.

695
00:36:38,960 --> 00:36:39,840
Speaker 2: Yeah.

696
00:36:39,880 --> 00:36:43,200
Speaker 1: On the same day Mother's Day, Taylor took a surfing

697
00:36:43,280 --> 00:36:46,400
Speaker 1: lesson in Laguna Beach, which is huge for them because

698
00:36:46,520 --> 00:36:49,759
Speaker 1: they have a deep water fear and a fear of

699
00:36:50,000 --> 00:36:55,759
Speaker 1: man made objects in deep water that is called sub mechanophobia.

700
00:36:55,840 --> 00:37:00,279
Speaker 1: Sub mechanophobia, right, understandable. Yeah, that's pretty good. That one's

701
00:37:00,280 --> 00:37:03,200
Speaker 1: pretty close. But also I'm afraid of the deep ocean.

702
00:37:03,239 --> 00:37:05,120
Speaker 1: It's scary out there. You don't know.

703
00:37:05,080 --> 00:37:10,360
Speaker 2: What's on, specifically of man made objects. I hell yeah, baby,

704
00:37:10,480 --> 00:37:14,279
Speaker 2: I get that. There's this one break in Asbury Park,

705
00:37:14,320 --> 00:37:16,920
Speaker 2: New Jersey where it's on the left hand side, it's

706
00:37:16,960 --> 00:37:19,120
Speaker 2: in lock Arbor and on the right hand side it's

707
00:37:19,160 --> 00:37:21,640
Speaker 2: in Asbury Park, and the lock Arbor side is a

708
00:37:21,640 --> 00:37:23,560
Speaker 2: great surf break, and when you look at the right

709
00:37:23,560 --> 00:37:26,400
Speaker 2: hand side of the jetty, you're like, that would be amazing.

710
00:37:26,920 --> 00:37:28,879
Speaker 2: But then you see it at low tide and there's

711
00:37:28,920 --> 00:37:32,719
Speaker 2: like just four pylons that are just submerged underneath the

712
00:37:32,760 --> 00:37:35,719
Speaker 2: water in the in the surf zone. That's why it's

713
00:37:35,719 --> 00:37:38,520
Speaker 2: breaking so well right there, because it's hitting those and

714
00:37:38,560 --> 00:37:40,320
Speaker 2: it's like it is very, very scary.

715
00:37:40,719 --> 00:37:44,360
Speaker 1: Yes, So Taylor on uh I went and took a

716
00:37:44,400 --> 00:37:48,319
Speaker 1: surfing lesson on Laguna Beach. Taylor says they didn't pop up,

717
00:37:48,360 --> 00:37:50,280
Speaker 1: they didn't get up, but they stayed on the board

718
00:37:50,320 --> 00:37:52,440
Speaker 1: for more than half of the waves they caught and

719
00:37:52,760 --> 00:37:55,319
Speaker 1: they never swallow more salt water in their my mouth ever.

720
00:37:55,440 --> 00:37:57,560
Speaker 1: But they're gonna do it again, So thumbs up to

721
00:37:57,600 --> 00:38:01,000
Speaker 1: both Taylor and Jake Again. Taylor sorry, I didn't know

722
00:38:01,000 --> 00:38:05,239
Speaker 1: what your pronouns were. My apologies. And last, but not least,

723
00:38:05,280 --> 00:38:10,600
Speaker 1: this one is unbelievable. This might this one's so good.

724
00:38:11,000 --> 00:38:14,560
Speaker 1: Alexia is a day one Bananamal who was raised in

725
00:38:14,600 --> 00:38:19,440
Speaker 1: an extremely high controlled religion. She started listening to bananas

726
00:38:19,600 --> 00:38:22,280
Speaker 1: her senior year of high school. She was not allowed

727
00:38:22,280 --> 00:38:25,560
Speaker 1: to have any non believer friends, non Christian friends. Okay,

728
00:38:26,440 --> 00:38:29,080
Speaker 1: I know this sounds silly, she says, But Alexia says

729
00:38:29,160 --> 00:38:31,719
Speaker 1: that by listening to bananas, she realized she can be

730
00:38:31,760 --> 00:38:35,919
Speaker 1: a good person without punishing herself or external degradation.

731
00:38:36,560 --> 00:38:37,000
Speaker 2: Wow.

732
00:38:37,120 --> 00:38:40,719
Speaker 1: It took her years to slowly deconstruct the belief that

733
00:38:40,800 --> 00:38:44,560
Speaker 1: her heart is inherently deceitful, was evil and broken. But

734
00:38:44,640 --> 00:38:47,319
Speaker 1: Alexia finally came out to her friends as a non

735
00:38:47,400 --> 00:38:50,239
Speaker 1: Christian and as gay one month ago.

736
00:38:50,400 --> 00:38:51,960
Speaker 2: Oh my god, thumbs up.

737
00:38:52,400 --> 00:38:55,239
Speaker 1: It's crazy to me, Alexia says, your judgment free love

738
00:38:55,360 --> 00:38:58,160
Speaker 1: and encouragement to others showed her what the world, that

739
00:38:58,200 --> 00:39:00,239
Speaker 1: the world is not such an evil place as after

740
00:39:00,320 --> 00:39:03,640
Speaker 1: all today. So this was a couple maybe a month ago.

741
00:39:03,680 --> 00:39:06,880
Speaker 1: She sent this in Today is her twenty third birthday.

742
00:39:06,960 --> 00:39:08,480
Speaker 1: She wants to give a thumb up to all the

743
00:39:08,560 --> 00:39:11,320
Speaker 1: queer and questioning Christians out there. You are not broken.

744
00:39:11,520 --> 00:39:13,759
Speaker 1: You're worthy of love as much as anybody else. And

745
00:39:13,840 --> 00:39:16,319
Speaker 1: if anybody tells you otherwise, they can fuck off.

746
00:39:18,320 --> 00:39:21,200
Speaker 2: I love that bomb on Alexia.

747
00:39:22,160 --> 00:39:25,279
Speaker 1: That was Banana the Week, Banana of the Week, and

748
00:39:25,600 --> 00:39:29,720
Speaker 1: just we are so happy for you and so proud

749
00:39:29,760 --> 00:39:33,319
Speaker 1: of you for being brave and listening to yourself, and

750
00:39:33,360 --> 00:39:35,360
Speaker 1: we just are so grateful that you're hanging with the

751
00:39:35,360 --> 00:39:36,120
Speaker 1: Banana boys.

752
00:39:36,960 --> 00:39:39,120
Speaker 2: Really bombs up Banana the Week.

753
00:39:39,120 --> 00:39:43,839
Speaker 1: Absolutely absolutely wonderful. Good God, damn, I know that one.

754
00:39:43,920 --> 00:39:45,680
Speaker 1: That one got me. It was in our emails and

755
00:39:45,719 --> 00:39:49,160
Speaker 1: I'm like, oh, this is just tugging at the old heartstrings.

756
00:39:50,440 --> 00:39:53,440
Speaker 2: So here it is Noisy Hungry frog sad in Farmer's Life.

757
00:39:53,560 --> 00:39:57,960
Speaker 2: This was what a transition, What a great transition.

758
00:39:59,239 --> 00:39:59,920
Speaker 1: That's banana.

759
00:40:00,800 --> 00:40:05,480
Speaker 2: This is written by no author, no author, it's It

760
00:40:05,560 --> 00:40:12,120
Speaker 2: was originally published in the Minneapolis Journal, July fifteenth, nineteen

761
00:40:12,160 --> 00:40:12,800
Speaker 2: oh six.

762
00:40:13,080 --> 00:40:14,680
Speaker 1: Okay, so it's an oldie, but a good.

763
00:40:15,840 --> 00:40:18,560
Speaker 2: Noisy hungry frog said in Farmer's Life, they scare his

764
00:40:18,640 --> 00:40:21,040
Speaker 2: cattle and they eat his flannel shirt.

765
00:40:22,400 --> 00:40:25,880
Speaker 1: On this farm, frogs, this might be vagrant.

766
00:40:26,400 --> 00:40:30,640
Speaker 2: This this is just this is just how different the

767
00:40:30,680 --> 00:40:33,960
Speaker 2: world was one hundred and twenty years ago. On the

768
00:40:34,000 --> 00:40:39,080
Speaker 2: farm of Alvin Shoemaker near Seepstown, there's a pond in

769
00:40:39,120 --> 00:40:43,759
Speaker 2: which big frogs fairly swarm. Harry Water, who hunted for

770
00:40:43,840 --> 00:40:48,240
Speaker 2: them there yesterday bagged sixty seven. That's a lot of frogs,

771
00:40:48,360 --> 00:40:52,759
Speaker 2: not one of which weighed less than a pound Scottie.

772
00:40:53,560 --> 00:40:56,600
Speaker 2: For years the Shoemaker farm has been noted as a

773
00:40:56,600 --> 00:40:59,799
Speaker 2: frog resort, and mister Shoemaker always welcomes the hunters with

774
00:40:59,880 --> 00:41:03,000
Speaker 2: open arms, as it declares the frogs have become a pest.

775
00:41:03,320 --> 00:41:06,040
Speaker 2: He does not favor the squib law for protecting frogs,

776
00:41:06,040 --> 00:41:08,080
Speaker 2: as they have become a pest on his farm. He

777
00:41:08,120 --> 00:41:11,120
Speaker 2: wants the frogs killed off, as their croaking scares his

778
00:41:11,239 --> 00:41:13,960
Speaker 2: cattle when he drives them to water. Last year, the

779
00:41:14,000 --> 00:41:17,160
Speaker 2: frogs raided his strawberry patch and devoured the entire crop.

780
00:41:17,360 --> 00:41:20,719
Speaker 1: As is there right hey. They were there first the

781
00:41:20,840 --> 00:41:21,560
Speaker 1: year before.

782
00:41:21,640 --> 00:41:24,480
Speaker 2: They got into his summer house and ate a half

783
00:41:24,760 --> 00:41:28,799
Speaker 2: dozen of his best flannel shirts which lay there in

784
00:41:28,880 --> 00:41:29,760
Speaker 2: the wash basket.

785
00:41:29,800 --> 00:41:31,640
Speaker 1: And that you've never heard of this performance.

786
00:41:32,160 --> 00:41:34,880
Speaker 2: That is how it ends, because that is the the

787
00:41:35,360 --> 00:41:41,640
Speaker 2: world was the world was wildly different is what it

788
00:41:41,760 --> 00:41:46,600
Speaker 2: is become. I mean, when when nature teemed like that

789
00:41:46,880 --> 00:41:50,759
Speaker 2: in such an insane number that it was, that they

790
00:41:50,760 --> 00:41:53,640
Speaker 2: could bust into your house and eat a half dozen

791
00:41:53,760 --> 00:41:56,080
Speaker 2: flannel shirts before you got home.

792
00:41:56,840 --> 00:42:00,600
Speaker 1: That's been crazy. Well I didn't know frogs eight cloth?

793
00:42:01,040 --> 00:42:03,920
Speaker 1: Do they hate lumberjacks? What's going on with these frogs?

794
00:42:03,960 --> 00:42:07,759
Speaker 2: I don't know. They're buddies with moths. I have no idea, man,

795
00:42:07,840 --> 00:42:11,200
Speaker 2: but sixty seven sixty seven? Also, how do you hunt?

796
00:42:11,400 --> 00:42:11,640
Speaker 1: Don't?

797
00:42:11,719 --> 00:42:13,760
Speaker 2: I don't even understand it.

798
00:42:13,760 --> 00:42:14,879
Speaker 1: It is a frog.

799
00:42:15,160 --> 00:42:17,160
Speaker 2: It's a world that we recognize, but that we do

800
00:42:17,239 --> 00:42:19,239
Speaker 2: not recognize, right, I.

801
00:42:19,239 --> 00:42:23,359
Speaker 1: Know, it's so enviable, like it would just be so

802
00:42:23,600 --> 00:42:26,880
Speaker 1: wild to go back a million years and walk around.

803
00:42:27,160 --> 00:42:31,360
Speaker 1: It would just be so cool. But we never will.

804
00:42:31,480 --> 00:42:32,760
Speaker 1: We're all looking to space.

805
00:42:35,440 --> 00:42:36,160
Speaker 2: Send us homes.

806
00:42:36,160 --> 00:42:40,000
Speaker 1: Gottie. Oh sure, let's see. Let's do a do I

807
00:42:40,040 --> 00:42:42,200
Speaker 1: want to do a feel good? Let me think we

808
00:42:42,320 --> 00:42:45,359
Speaker 1: got some silly ones. Oh that's a fun one. Oh

809
00:42:45,440 --> 00:42:47,359
Speaker 1: this is a good one. Yeah, here we go. This

810
00:42:47,560 --> 00:42:50,719
Speaker 1: is feel good in a in many ways. Kate Cosgrove

811
00:42:50,800 --> 00:42:54,160
Speaker 1: our Homegirl are one of our favorite bananamals sent this

812
00:42:54,320 --> 00:42:57,720
Speaker 1: in This was on AOL dot Com, which still exists.

813
00:42:58,200 --> 00:43:03,840
Speaker 2: Wow, AOL touch, they're really still pumping it out. That's amazing.

814
00:43:04,760 --> 00:43:06,040
Speaker 2: Human beings worked there.

815
00:43:06,360 --> 00:43:12,600
Speaker 1: Also, it's like Star Wars, it's America Online. Yeah, so funny.

816
00:43:12,680 --> 00:43:15,239
Speaker 1: They were like, they're going to get online and we

817
00:43:15,320 --> 00:43:19,000
Speaker 1: are a country, so let's call it America Online.

818
00:43:19,280 --> 00:43:23,680
Speaker 2: Think about what a what how much they because at

819
00:43:23,680 --> 00:43:27,640
Speaker 2: the same time as AOL started, we would call it

820
00:43:27,680 --> 00:43:30,480
Speaker 2: the world Wide Web, right, that was like what everybody

821
00:43:30,480 --> 00:43:34,200
Speaker 2: would call it. They had the opportunity to be America's

822
00:43:34,239 --> 00:43:37,680
Speaker 2: world Wide Web and just be aw.

823
00:43:39,480 --> 00:43:42,799
Speaker 1: Yeah they're idiots, no wonder there barely existed. When you

824
00:43:42,880 --> 00:43:47,080
Speaker 1: do get the occasional AOL dot com email, yeah, and

825
00:43:47,120 --> 00:43:50,360
Speaker 1: there are a couple working actors who still have it

826
00:43:50,440 --> 00:43:52,600
Speaker 1: because I get them sometimes and I'm like, how did

827
00:43:52,640 --> 00:43:53,960
Speaker 1: you do? Think you do it?

828
00:43:54,000 --> 00:43:54,960
Speaker 2: How did you survive?

829
00:43:55,200 --> 00:43:58,399
Speaker 1: How did you navigate the changing world? When Gmail hit

830
00:43:59,160 --> 00:44:01,440
Speaker 1: the amount of people like you have to sign up

831
00:44:01,480 --> 00:44:05,640
Speaker 1: for this, here's your invitation, this is Google's Gmail, It's better,

832
00:44:06,040 --> 00:44:07,880
Speaker 1: and I was like, fine, dudes. I was in like

833
00:44:07,920 --> 00:44:11,480
Speaker 1: two thousand and six and my first was hotmail dot

834
00:44:11,520 --> 00:44:13,560
Speaker 1: com and I felt like I was I was on

835
00:44:13,600 --> 00:44:15,080
Speaker 1: top of the world. I felt like I was in

836
00:44:15,080 --> 00:44:18,440
Speaker 1: a a lear jet sailing into the future. What was

837
00:44:18,480 --> 00:44:19,920
Speaker 1: your first GM or email?

838
00:44:20,160 --> 00:44:23,600
Speaker 2: My first email? Oh, my first email was Kilgore Trout

839
00:44:24,120 --> 00:44:26,280
Speaker 2: at JHU dot Edu.

840
00:44:26,760 --> 00:44:27,280
Speaker 1: I mean.

841
00:44:28,920 --> 00:44:31,640
Speaker 2: They just assigned it to us in nineteen ninety four,

842
00:44:31,760 --> 00:44:34,160
Speaker 2: Like we started college and we got an email address,

843
00:44:34,200 --> 00:44:35,879
Speaker 2: and people were like, what is this?

844
00:44:36,800 --> 00:44:38,960
Speaker 1: Why do I you like Vonnegut because you were a

845
00:44:39,040 --> 00:44:42,920
Speaker 1: young guy? Yep. I mean, imagine Kurt Vonnegut. How great

846
00:44:43,000 --> 00:44:44,000
Speaker 1: his Twitter would have been?

847
00:44:44,280 --> 00:44:48,560
Speaker 2: Unnai unbelievable. But half the books I have a quote.

848
00:44:48,880 --> 00:44:51,520
Speaker 2: I have a pint glass that I got the Kurt

849
00:44:51,600 --> 00:44:55,680
Speaker 2: Vonnegut Museum in Indianapolis, which is a great place you

850
00:44:55,719 --> 00:44:57,799
Speaker 2: guys should go. It's a tiny little place, but he

851
00:44:57,840 --> 00:45:00,800
Speaker 2: has so many good quotes and it's a he says,

852
00:45:01,080 --> 00:45:04,440
Speaker 2: I have this disease at night when I'm drinking of

853
00:45:04,560 --> 00:45:07,160
Speaker 2: calling people on the telephone.

854
00:45:07,920 --> 00:45:10,440
Speaker 1: Oh ex, girl friends, right or just people.

855
00:45:10,480 --> 00:45:12,360
Speaker 2: He would just drunk dial people all the time.

856
00:45:12,800 --> 00:45:14,520
Speaker 1: I would have been it would have been the greatest

857
00:45:14,520 --> 00:45:16,359
Speaker 1: moment in my life if Kurt Vonneguet would have called

858
00:45:16,400 --> 00:45:20,120
Speaker 1: being to me. Oh God, drunk Kirk Vonnegut. I know,

859
00:45:20,960 --> 00:45:22,440
Speaker 1: I'll just picture him as a small guy, but I

860
00:45:22,440 --> 00:45:24,239
Speaker 1: think he was a pretty tall dude. I think he

861
00:45:24,360 --> 00:45:25,399
Speaker 1: was a big german guy.

862
00:45:25,760 --> 00:45:28,120
Speaker 2: Oh my god, I'm doing this. I'm doing a podcast.

863
00:45:28,920 --> 00:45:34,040
Speaker 2: My friend Jen now started a podcast about first books

864
00:45:34,080 --> 00:45:37,640
Speaker 2: that like inspired you to love reading, and we're doing

865
00:45:37,680 --> 00:45:41,400
Speaker 2: Sirens of Titan. Oh great, that's a great one because

866
00:45:41,400 --> 00:45:44,200
Speaker 2: I was like, oh, I've always wanted to reread Sirens

867
00:45:44,200 --> 00:45:46,279
Speaker 2: of Titan and see if it holds up. And I

868
00:45:46,360 --> 00:45:48,879
Speaker 2: bet you it does. I'm excited. I'm excited to do it.

869
00:45:50,239 --> 00:45:53,240
Speaker 1: Fantastic, I bet they I'll do. I'll go back through next,

870
00:45:53,760 --> 00:45:56,279
Speaker 1: next Global Pandemic. I'm going to read all the vonneguets

871
00:45:56,320 --> 00:45:57,319
Speaker 1: one at a time in order.

872
00:45:57,320 --> 00:45:59,640
Speaker 2: Oh you know what I think I'm gonna do, tell

873
00:45:59,640 --> 00:46:01,880
Speaker 2: me Frand. I think it's going to be a Vonnegut

874
00:46:02,080 --> 00:46:05,240
Speaker 2: cross country trip. I'm gonna do audible. I'm gonna do audible,

875
00:46:05,480 --> 00:46:07,359
Speaker 2: tries to do as many Vonnegut novels as I can.

876
00:46:07,440 --> 00:46:12,280
Speaker 1: Cross Country Player, Piano is fight Club. Oh yeah, yeah,

877
00:46:12,320 --> 00:46:16,200
Speaker 1: you'll see it. It's crazy. Yeah, Okay. Kate Cosgrove one

878
00:46:16,239 --> 00:46:20,560
Speaker 1: of our faves, great, great, great, great illustrator. I'm a

879
00:46:20,640 --> 00:46:23,759
Speaker 1: seventy four year old grandmother. I have no regrets that

880
00:46:23,840 --> 00:46:26,840
Speaker 1: my boy toy is thirty four years younger than hell.

881
00:46:27,960 --> 00:46:32,040
Speaker 1: It's some granny. This was written by Fabiana Well. I'm tempo,

882
00:46:33,040 --> 00:46:34,880
Speaker 1: who is the best in the biz. When it comes

883
00:46:34,920 --> 00:46:39,080
Speaker 1: to love. Let's name it for what it is exactly.

884
00:46:39,360 --> 00:46:41,560
Speaker 1: Age is really just a number when it comes to love.

885
00:46:41,680 --> 00:46:45,040
Speaker 1: Does an age difference really matter? Clearly not for this

886
00:46:45,160 --> 00:46:48,120
Speaker 1: couple who have a thirty four year old age gap.

887
00:46:48,320 --> 00:46:50,480
Speaker 1: And if the duo has any regrets, it's that they

888
00:46:50,560 --> 00:46:54,720
Speaker 1: wish they had met sooner. No comment there, easy joke,

889
00:46:55,440 --> 00:47:00,240
Speaker 1: no comment. The universe brought Christine Haycox, who is seventy four,

890
00:47:00,400 --> 00:47:05,319
Speaker 1: and Hamza Dready, forty together for the first time. Also,

891
00:47:05,360 --> 00:47:08,600
Speaker 1: a forty year old is a fully grown man. Oh yeah,

892
00:47:09,040 --> 00:47:15,840
Speaker 1: there's zero. There's truly nothing wrong with this. It's honestly

893
00:47:15,920 --> 00:47:19,040
Speaker 1: crazy that aol dot com picked us up together seven

894
00:47:19,120 --> 00:47:21,520
Speaker 1: years ago when the two met during an English online

895
00:47:21,560 --> 00:47:25,640
Speaker 1: language course Haycox was teaching at the time. That's the woman, Christie.

896
00:47:25,840 --> 00:47:29,440
Speaker 1: In twenty eighteen, Dready responded to a Facebook ad that Haycox'

897
00:47:29,480 --> 00:47:32,400
Speaker 1: a UK native, posted, offering to teach the English language

898
00:47:32,400 --> 00:47:35,440
Speaker 1: to foreigners. From there on, you could say the rest

899
00:47:35,520 --> 00:47:39,320
Speaker 1: is history because the couple described their initial virtual meeting

900
00:47:39,440 --> 00:47:43,719
Speaker 1: as love at first sight. There was instant spark between us,

901
00:47:43,800 --> 00:47:46,839
Speaker 1: Haycock said. After only knowing each other for a short

902
00:47:46,840 --> 00:47:49,880
Speaker 1: period of time, Haycox booked a one way ticket to

903
00:47:50,000 --> 00:47:53,680
Speaker 1: hammam At Tunisia, a country in North Africa where her

904
00:47:53,719 --> 00:47:56,520
Speaker 1: bo lived, and they never looked back. Two years later,

905
00:47:56,640 --> 00:47:59,680
Speaker 1: in twenty twenty, the two said I do and celebrated

906
00:47:59,719 --> 00:48:03,680
Speaker 1: a low key ceremony, the original type of low key ceremony,

907
00:48:03,760 --> 00:48:07,760
Speaker 1: not the slang low key ceremony at Dredy's family home.

908
00:48:08,600 --> 00:48:11,839
Speaker 1: We took so long to Mary. It took two years

909
00:48:11,840 --> 00:48:14,440
Speaker 1: to get all the paperwork from England, Haycocks explained in

910
00:48:14,480 --> 00:48:19,200
Speaker 1: the article. Eventually, a year later, Haycox converted to Islam

911
00:48:19,320 --> 00:48:22,080
Speaker 1: for her husband. Christine is a lovely wife. She is

912
00:48:22,120 --> 00:48:25,640
Speaker 1: my queen. I love her personality and her intelligence, Dreedi

913
00:48:25,719 --> 00:48:28,960
Speaker 1: said about his wife. Hay Cox had previously been married

914
00:48:28,960 --> 00:48:31,720
Speaker 1: for over thirty years before she and her ex spouse

915
00:48:31,760 --> 00:48:34,120
Speaker 1: got divorced in two thousand and three. She has a

916
00:48:34,160 --> 00:48:36,840
Speaker 1: son and a daughter, is a grandmother of two grandchildren.

917
00:48:37,000 --> 00:48:40,600
Speaker 1: So how does Haycox's How? Yeah, I guess that's right.

918
00:48:40,640 --> 00:48:44,800
Speaker 1: How does Haycox's friends and family feel about this whirlwind romance?

919
00:48:44,880 --> 00:48:47,200
Speaker 1: Uh huh. Quote, they can see how happy I am.

920
00:48:47,320 --> 00:48:50,600
Speaker 1: My friends had been amazing. Hamza speaks to my friends

921
00:48:50,600 --> 00:48:52,360
Speaker 1: all the time, so they can see how good we

922
00:48:52,400 --> 00:48:54,960
Speaker 1: are together. Seventy four year old said that she and

923
00:48:55,000 --> 00:48:58,520
Speaker 1: her hobby now own a home together. Dredi takes most

924
00:48:58,520 --> 00:49:00,400
Speaker 1: of the chores around the house. And when it comes

925
00:49:00,400 --> 00:49:04,680
Speaker 1: to intimacy, Kurt, there's no stop in these two newlyweds.

926
00:49:04,840 --> 00:49:06,600
Speaker 2: Is that what AOL is telling us?

927
00:49:07,120 --> 00:49:11,480
Speaker 1: AOL Fabiana was like, I'm going to reel them in

928
00:49:12,080 --> 00:49:16,440
Speaker 1: and then I'm gonna drop the hot tea of the millennium.

929
00:49:16,440 --> 00:49:20,200
Speaker 2: Oh my god. AOL stands for all holes live.

930
00:49:21,840 --> 00:49:27,680
Speaker 1: All holes live. When it comes to intimacy, there's no

931
00:49:27,800 --> 00:49:32,600
Speaker 1: stopping these newlyweds. Quote. He's a hot blooded Tunisian and

932
00:49:32,640 --> 00:49:35,960
Speaker 1: we have more sex than most. Wow.

933
00:49:36,120 --> 00:49:36,799
Speaker 2: I love that.

934
00:49:38,880 --> 00:49:41,640
Speaker 1: Despite their living in their own happy bubble of bliss,

935
00:49:41,680 --> 00:49:45,839
Speaker 1: the couple has faced backlash for their astonishing age difference. Yes,

936
00:49:45,960 --> 00:49:50,000
Speaker 1: because people are bored and aren't creative and don't have

937
00:49:50,160 --> 00:49:54,000
Speaker 1: things to do. God, teach yourself something. Learn how to

938
00:49:54,320 --> 00:49:56,239
Speaker 1: make a kite from scratch and fly it.

939
00:49:56,600 --> 00:49:59,680
Speaker 2: Learn how to make a kite from scratch.

940
00:50:00,080 --> 00:50:03,279
Speaker 1: Yeah, how about instead of like leaving Facebook messages and

941
00:50:03,360 --> 00:50:06,160
Speaker 1: Internet comments? You know what, go learn how to build

942
00:50:06,160 --> 00:50:08,239
Speaker 1: a kite, and you go fly that kite and you

943
00:50:08,480 --> 00:50:10,399
Speaker 1: just learn how to get better and then build another

944
00:50:10,440 --> 00:50:14,520
Speaker 1: one that's even better. You don't comment on everybody else's lives.

945
00:50:15,080 --> 00:50:17,120
Speaker 1: Grow up, grow up.

946
00:50:17,760 --> 00:50:18,920
Speaker 2: I'm happy for them both.

947
00:50:19,160 --> 00:50:22,719
Speaker 1: Yeah, they a couple's goals to get them a visa

948
00:50:22,800 --> 00:50:25,640
Speaker 1: so they can eventually relocate back to the United Kingdom

949
00:50:25,719 --> 00:50:28,800
Speaker 1: for Haycox's medical needs. So there you go. That seems

950
00:50:29,480 --> 00:50:33,799
Speaker 1: maybe smart. Actually, so there you go. You know that's

951
00:50:33,840 --> 00:50:36,400
Speaker 1: age appropriate to me seventy four and forty that's the

952
00:50:36,440 --> 00:50:36,960
Speaker 1: same thing.

953
00:50:37,480 --> 00:50:41,279
Speaker 2: Oh yeah, that's especially weird. No, it's not crazy at all.

954
00:50:41,320 --> 00:50:43,640
Speaker 2: It's not like it matters, you know. It's like that's

955
00:50:43,680 --> 00:50:46,040
Speaker 2: also true.

956
00:50:46,920 --> 00:50:49,879
Speaker 1: I always tell people it's like, if you're over twenty eight,

957
00:50:49,960 --> 00:50:50,840
Speaker 1: you are an adult.

958
00:50:51,280 --> 00:50:53,680
Speaker 2: Yes, I liked it. I like twenty eight.

959
00:50:53,960 --> 00:50:56,360
Speaker 1: I've thought about it quite a bit. Yea. I feel

960
00:50:56,400 --> 00:50:56,879
Speaker 1: like if.

961
00:50:56,800 --> 00:50:59,520
Speaker 2: You because I would say thirty, I would say thirty,

962
00:50:59,520 --> 00:51:01,080
Speaker 2: but I let's say twenty eight.

963
00:51:01,000 --> 00:51:04,120
Speaker 1: Twenty eight A twenty eight year old can date an

964
00:51:04,160 --> 00:51:06,480
Speaker 1: eighty year old and you go, you know what, Yeah,

965
00:51:06,520 --> 00:51:10,160
Speaker 1: they're an adult exactly. They've had a decade of being

966
00:51:10,200 --> 00:51:13,399
Speaker 1: an adult. They've seen people die, they've seen people get married,

967
00:51:13,440 --> 00:51:16,000
Speaker 1: they've seen babies come to the world, They've seen it all.

968
00:51:16,280 --> 00:51:19,160
Speaker 2: If you're old enough to already have been broken up

969
00:51:19,560 --> 00:51:22,320
Speaker 2: with by Leo DiCaprio, you are now an adult.

970
00:51:22,400 --> 00:51:24,720
Speaker 1: Okay, thank you so much for that. And we both

971
00:51:24,760 --> 00:51:28,800
Speaker 1: agree on that one, Kurti b Yeah, we did it again.

972
00:51:29,120 --> 00:51:29,560
Speaker 2: Thank you.

973
00:51:29,840 --> 00:51:31,799
Speaker 1: We love are you ban animals? Thank you so much.

974
00:51:31,920 --> 00:51:33,759
Speaker 1: Love who you want to love, Be who you want

975
00:51:33,760 --> 00:51:36,200
Speaker 1: to be. It's your life. As long as it's consensual,

976
00:51:36,239 --> 00:51:38,759
Speaker 1: we don't care. Get it on, make it hot and

977
00:51:38,800 --> 00:51:47,400
Speaker 1: heavy like a Tunisian lover. Bananas Banas Bananas is an

978
00:51:47,440 --> 00:51:48,960
Speaker 1: exactly right media production.

979
00:51:49,120 --> 00:51:51,400
Speaker 2: Our producer and engineer is Katie Levine.

980
00:51:51,440 --> 00:51:54,640
Speaker 1: The catchy banana theme song was composed and performed by Kahan.

981
00:51:54,880 --> 00:51:58,160
Speaker 2: Artwork for Bananas was designed by Travis Millard.

982
00:51:57,840 --> 00:52:00,680
Speaker 1: And our benevolent overlords are the Great Kill Gareth and

983
00:52:00,719 --> 00:52:02,040
Speaker 1: Georgia Hardstars.

984
00:52:01,640 --> 00:52:04,200
Speaker 2: And Lisa Maggott is our full human, not a robot,

985
00:52:04,280 --> 00:52:05,400
Speaker 2: part time employee.

986
00:52:05,520 --> 00:52:09,600
Speaker 1: You can listen to Bananas on the iHeartRadio app, Apple Podcasts, Spotify,

987
00:52:09,800 --> 00:52:13,319
Speaker 1: or wherever you get your podcasts, and please feel free

988
00:52:13,360 --> 00:52:15,480
Speaker 1: to rate and review as many times as you can.

989
00:52:15,600 --> 00:52:18,719
Speaker 1: We love those five stars.