1
00:00:00,200 --> 00:00:01,280
Speaker 1: All right, Scott are you ready?

2
00:00:01,520 --> 00:00:01,720
Speaker 2: Oh?

3
00:00:01,760 --> 00:00:04,880
Speaker 3: I'm so ready today, I'm.

4
00:00:04,280 --> 00:00:09,280
Speaker 1: Just raring to go here. It is potatoes are better

5
00:00:09,320 --> 00:00:13,039
Speaker 1: than human blood for making space bricks, scientists.

6
00:00:12,480 --> 00:00:17,000
Speaker 3: Say, And what else would you think of besides human

7
00:00:17,040 --> 00:00:22,599
Speaker 3: blood and potatoes when you're talking bricks? You know what, everybody,

8
00:00:22,600 --> 00:00:24,759
Speaker 3: Today's going to be an interesting day in all of

9
00:00:24,760 --> 00:00:28,720
Speaker 3: our lives. So no puns. Let's just invite everybody to

10
00:00:28,800 --> 00:00:31,760
Speaker 3: jump ears first into a little bliss pit that we

11
00:00:31,840 --> 00:00:38,599
Speaker 3: call bananas World.

12
00:00:39,320 --> 00:01:12,600
Speaker 4: Would your mindsillion pieces.

13
00:01:00,160 --> 00:01:04,200
Speaker 1: Guys, gals, non binary pals, Welcome to Bananas I am

14
00:01:04,280 --> 00:01:05,080
Speaker 1: kerk Brown Owler.

15
00:01:05,319 --> 00:01:07,720
Speaker 3: I am banana Boy number two. Scotti Landis. Thank you

16
00:01:07,760 --> 00:01:10,440
Speaker 3: for listening to the silliest little podcast ever was. We're

17
00:01:10,480 --> 00:01:13,720
Speaker 3: glad to have you. It's just gonna be an extra

18
00:01:13,760 --> 00:01:17,560
Speaker 3: good episode today for many reasons. Kurt, do you have

19
00:01:17,600 --> 00:01:19,679
Speaker 3: any stand up but you need to announce or anything

20
00:01:19,720 --> 00:01:20,280
Speaker 3: ahead of this?

21
00:01:20,640 --> 00:01:24,039
Speaker 1: We're getting right into our guests. Scottie, our guest today

22
00:01:24,360 --> 00:01:28,400
Speaker 1: is an author, a wild plant expert, a James Beard

23
00:01:28,520 --> 00:01:32,839
Speaker 1: Award winner, an Emmy Award winner, but most of all,

24
00:01:32,920 --> 00:01:36,440
Speaker 1: she is a forager. Her social media accounts under Black

25
00:01:36,480 --> 00:01:40,240
Speaker 1: Forager have millions of followers, and she has a cookbook

26
00:01:40,319 --> 00:01:44,240
Speaker 1: coming out next year. Please welcome Alexis Nicole Nelson.

27
00:01:45,040 --> 00:01:47,920
Speaker 2: Hello, hypen Animals.

28
00:01:48,920 --> 00:01:52,000
Speaker 3: I like I told you before we start recording, we

29
00:01:52,320 --> 00:01:55,440
Speaker 3: are fans, are wonderful people who often recommend people. And

30
00:01:55,480 --> 00:01:57,600
Speaker 3: your name kept coming up over and over and over,

31
00:01:58,040 --> 00:02:00,840
Speaker 3: and then there was almost like a tip point moment

32
00:02:01,320 --> 00:02:05,160
Speaker 3: where and I think you'll remember this story. Alicia Silverstone

33
00:02:05,280 --> 00:02:07,360
Speaker 3: was in England walking around and ate something off a

34
00:02:07,400 --> 00:02:10,280
Speaker 3: tree and everybody, oh, yeah, congratulations, you're about to die.

35
00:02:10,360 --> 00:02:13,040
Speaker 3: And then everybody's like, talk to the black Forger, she

36
00:02:13,240 --> 00:02:16,399
Speaker 3: will know. So what do you remember that? What was that?

37
00:02:16,560 --> 00:02:22,920
Speaker 2: Oh? I remember it extraordinarily clearly. They were Jerusalem cherries,

38
00:02:23,000 --> 00:02:26,520
Speaker 2: which are not cherries. They are in the night shade family,

39
00:02:26,800 --> 00:02:32,680
Speaker 2: just like tomatoes, potatoes and also deadly nightshade. Okay, it

40
00:02:32,720 --> 00:02:35,320
Speaker 2: has some of the tastiest treats. It also has some

41
00:02:35,400 --> 00:02:38,280
Speaker 2: of the most dangerous tricksters in the plant world.

42
00:02:38,520 --> 00:02:40,200
Speaker 3: Oh, I see.

43
00:02:40,760 --> 00:02:46,239
Speaker 2: So. Unfortunately, despite their name sounding delicious, uh, not edible,

44
00:02:46,360 --> 00:02:50,080
Speaker 2: but also not deadly, a lot of people were just

45
00:02:50,240 --> 00:02:56,000
Speaker 2: like rip sham Horowitz, like I love your work. Yeah,

46
00:02:56,080 --> 00:02:58,919
Speaker 2: it's been it's been real. And I was like, if anything,

47
00:02:59,040 --> 00:03:01,280
Speaker 2: she's gonna have a stomach ache, and that's like the

48
00:03:01,400 --> 00:03:04,880
Speaker 2: worst it's going to get. She's gonna be so fine.

49
00:03:05,360 --> 00:03:07,760
Speaker 2: If you've ever eaten a potato chip with a little

50
00:03:07,840 --> 00:03:11,440
Speaker 2: green still on it, of course you've also had a

51
00:03:11,440 --> 00:03:13,560
Speaker 2: little bit of solinine and you lived to tell.

52
00:03:13,440 --> 00:03:18,280
Speaker 1: The tale because it's the same, right, because it's the

53
00:03:18,320 --> 00:03:21,800
Speaker 1: same same family. Oh it's potatoes, need to eat?

54
00:03:22,200 --> 00:03:24,480
Speaker 3: Oh that's so interesting. Well, you must have to encounter

55
00:03:24,560 --> 00:03:28,399
Speaker 3: that quite a bit. The Internet is often almost right

56
00:03:28,520 --> 00:03:31,320
Speaker 3: about so many things. But what I'm really saying is

57
00:03:31,360 --> 00:03:35,800
Speaker 3: they're often wrong about nearly everything. And you are an expert,

58
00:03:35,880 --> 00:03:39,280
Speaker 3: you're an aficionado. So do people come to you constantly

59
00:03:39,400 --> 00:03:41,680
Speaker 3: in your regular life too, and go is this good?

60
00:03:41,760 --> 00:03:43,200
Speaker 3: Is this bad? Can I eat this? Can I not

61
00:03:43,240 --> 00:03:43,560
Speaker 3: eat that?

62
00:03:44,040 --> 00:03:48,640
Speaker 2: Oh? Absolutely? I don't think a day passes without someone

63
00:03:48,960 --> 00:03:54,360
Speaker 2: a former co worker, second cousin twice removed, reaching out

64
00:03:54,400 --> 00:04:00,640
Speaker 2: and saying, this mysterious fungus slash berries slash leaf has

65
00:04:00,680 --> 00:04:04,360
Speaker 2: appeared in or around by home, and I want to

66
00:04:04,480 --> 00:04:07,520
Speaker 2: know if I can put it into my mouth hole

67
00:04:08,080 --> 00:04:15,320
Speaker 2: without consequence. Which it's so funny, but that's always everyone's

68
00:04:15,320 --> 00:04:21,080
Speaker 2: first question. Mushroom aficionado Michael Kuo, who I love, was like,

69
00:04:21,120 --> 00:04:23,240
Speaker 2: it's so wild that that's the first thing you ask,

70
00:04:23,360 --> 00:04:26,360
Speaker 2: because if someone sees a cool bird, you never go

71
00:04:26,400 --> 00:04:30,400
Speaker 2: and ask a burder. Oh can I eat this barn?

72
00:04:31,200 --> 00:04:36,360
Speaker 3: That's so true, that is so funny, But that is

73
00:04:36,640 --> 00:04:39,960
Speaker 3: you know what. Ever, since I started watching your Instagram,

74
00:04:40,120 --> 00:04:44,239
Speaker 3: I have been thinking about you so much because you're

75
00:04:44,520 --> 00:04:48,159
Speaker 3: so funny. You're basically a stand up comedian who just

76
00:04:48,360 --> 00:04:52,760
Speaker 3: uses digital media instead, but so smart, and yet you're

77
00:04:52,800 --> 00:04:56,040
Speaker 3: like a daredevil to me because my entire life, the

78
00:04:56,080 --> 00:04:58,880
Speaker 3: one thing it's like, do not eat mushrooms. Do not Like,

79
00:04:59,000 --> 00:05:01,920
Speaker 3: if you eat one, you'll anything out of the forest.

80
00:05:02,080 --> 00:05:04,599
Speaker 3: And in your videos you'll start screaming that you see

81
00:05:04,640 --> 00:05:07,279
Speaker 3: something really excited about, I cook it up and eat it.

82
00:05:07,320 --> 00:05:12,960
Speaker 3: And that to me is like stunt woman level of crazy.

83
00:05:13,560 --> 00:05:15,839
Speaker 3: Just because I'm an ignorant fool, that's the problem.

84
00:05:16,839 --> 00:05:21,200
Speaker 2: No, No, because you recognize your strengths and your weaknesses,

85
00:05:21,839 --> 00:05:24,680
Speaker 2: and that is that is very important.

86
00:05:24,960 --> 00:05:28,520
Speaker 3: Yes, staying alive? Yeah true?

87
00:05:29,560 --> 00:05:31,920
Speaker 1: Did you have like growing did you coming up? Did

88
00:05:31,920 --> 00:05:35,240
Speaker 1: you have a mentor who knew all about wild and

89
00:05:35,320 --> 00:05:36,760
Speaker 1: medicinal plants?

90
00:05:37,520 --> 00:05:40,599
Speaker 2: Yeah? For me. That was my mom, my mom who

91
00:05:40,640 --> 00:05:43,159
Speaker 2: I used to just trail along behind her whenever she

92
00:05:43,360 --> 00:05:47,120
Speaker 2: was working in the yard. And I was not very helpful,

93
00:05:47,240 --> 00:05:50,159
Speaker 2: as most children are not when you give them a

94
00:05:50,200 --> 00:05:53,360
Speaker 2: task in the outdoors. There's just so much to see,

95
00:05:53,440 --> 00:05:57,000
Speaker 2: there's so much to do. But my favorite times would

96
00:05:57,000 --> 00:06:00,560
Speaker 2: be when we'd be like planting something or pulling something up,

97
00:06:00,600 --> 00:06:04,640
Speaker 2: and she'd be like, Oh, this is Econasia purple cone flower,

98
00:06:04,960 --> 00:06:08,160
Speaker 2: and the roots are a great tea that helps strengthen

99
00:06:08,160 --> 00:06:10,880
Speaker 2: your immune system. And in my little brain rolodex, I'd

100
00:06:10,880 --> 00:06:14,919
Speaker 2: be like, oh, okay, gotta write that down, store that

101
00:06:15,040 --> 00:06:17,080
Speaker 2: away for safe keeping for later.

102
00:06:18,320 --> 00:06:21,279
Speaker 1: Oh my god. And then and then you So it

103
00:06:21,320 --> 00:06:23,200
Speaker 1: started with your mom? And then did you have did

104
00:06:23,200 --> 00:06:26,320
Speaker 1: you take classes or was it online? Like how did

105
00:06:26,360 --> 00:06:29,840
Speaker 1: you kind of get fully immersed into the forging world.

106
00:06:30,520 --> 00:06:37,839
Speaker 2: It's been a multi decade hyperfounxation. I think I inhaled

107
00:06:37,960 --> 00:06:41,680
Speaker 2: every plant book first in my mom's library, then every

108
00:06:41,680 --> 00:06:44,760
Speaker 2: plant book at my school's library, then every plant book

109
00:06:44,800 --> 00:06:49,120
Speaker 2: at my local library branch. And I also went to

110
00:06:49,320 --> 00:06:52,520
Speaker 2: overnight camp, got like shipped out to the woods during

111
00:06:52,560 --> 00:06:55,719
Speaker 2: the summertime so my parents could have a couple weeks peace,

112
00:06:56,440 --> 00:07:00,680
Speaker 2: and I was obsessed with all of the outdoor classes,

113
00:07:00,800 --> 00:07:06,640
Speaker 2: the plan identification, animal tracking, orienteering, mountain biking. If it

114
00:07:06,760 --> 00:07:11,760
Speaker 2: involved like being out and about interacting with the natural world,

115
00:07:11,760 --> 00:07:14,760
Speaker 2: that was like all I ever wanted to do. And

116
00:07:14,840 --> 00:07:17,640
Speaker 2: so I later ended up becoming one of those camp

117
00:07:17,680 --> 00:07:22,400
Speaker 2: counselors and getting to that knowledge on to a new generation,

118
00:07:22,680 --> 00:07:24,200
Speaker 2: which is just the best.

119
00:07:25,040 --> 00:07:28,240
Speaker 1: Oh man, that is so fantastic. It's so great to

120
00:07:28,280 --> 00:07:30,080
Speaker 1: be able to pass out. I had him. I had

121
00:07:30,160 --> 00:07:35,200
Speaker 1: kind of a mentor of sort. His name was Steve Lee,

122
00:07:35,240 --> 00:07:37,560
Speaker 1: and he lived in upstate, in upstate New York. For

123
00:07:38,440 --> 00:07:40,520
Speaker 1: he lived in a yurt for twenty five years in

124
00:07:40,600 --> 00:07:44,440
Speaker 1: upstate New York with no running water or electricity.

125
00:07:44,760 --> 00:07:47,360
Speaker 2: I love that for him, Oh my.

126
00:07:47,360 --> 00:07:50,880
Speaker 1: Gosh, he was real. I mean, he was the real thing.

127
00:07:51,400 --> 00:07:57,960
Speaker 1: And he used to teach at this school called, oh

128
00:07:57,960 --> 00:08:01,200
Speaker 1: my god, Dan Brown, Dan Brown sur and so it

129
00:08:01,240 --> 00:08:05,760
Speaker 1: was all just like primitive survival skills, plants, identification, all

130
00:08:05,760 --> 00:08:07,440
Speaker 1: that sort of stuff. And so he used to be

131
00:08:07,480 --> 00:08:09,480
Speaker 1: a teacher there and so he would just teach us

132
00:08:09,560 --> 00:08:12,880
Speaker 1: as kids, and it was I mean, it was like

133
00:08:12,960 --> 00:08:16,360
Speaker 1: it just so once you to go for a walk,

134
00:08:16,480 --> 00:08:20,160
Speaker 1: I find with someone like yourself, who note like who

135
00:08:20,240 --> 00:08:22,640
Speaker 1: to the to a walk through the woods is not

136
00:08:22,760 --> 00:08:27,440
Speaker 1: just simply I see trees and leaves, but seeing like

137
00:08:27,800 --> 00:08:33,240
Speaker 1: a corncopia of medicinal plants, a cornucopia of food available.

138
00:08:33,679 --> 00:08:34,160
Speaker 3: It is.

139
00:08:34,520 --> 00:08:37,040
Speaker 1: It is the most beautiful thing in the world. And

140
00:08:37,120 --> 00:08:40,000
Speaker 1: I'm so very happy to have you on this show.

141
00:08:40,960 --> 00:08:44,400
Speaker 2: Also, cornucopia, great word that doesn't get used outside of

142
00:08:44,440 --> 00:08:45,720
Speaker 2: the month of November enough.

143
00:08:45,960 --> 00:08:49,640
Speaker 3: Yeah, yeah, it is sort of a horn of plenty.

144
00:08:49,760 --> 00:08:52,160
Speaker 3: I've described him that before on the pot.

145
00:08:52,920 --> 00:08:57,280
Speaker 1: But it's Thanksgiving or the Hunger Games, and those the

146
00:08:57,440 --> 00:09:00,040
Speaker 1: only times you see that.

147
00:09:00,080 --> 00:09:07,560
Speaker 3: True. Also, Kurt, that is true. I was thinking about

148
00:09:07,559 --> 00:09:10,199
Speaker 3: that also when we when we booked alexis like, Kurt's

149
00:09:10,240 --> 00:09:13,480
Speaker 3: a big loves the outdoors, camping, hiking, that sort of

150
00:09:13,520 --> 00:09:15,559
Speaker 3: thing too, And I was thinking, because in some of

151
00:09:15,600 --> 00:09:18,440
Speaker 3: your videos, alexis you you'll you'll jokingly be like, I'm

152
00:09:18,480 --> 00:09:20,760
Speaker 3: the most annoying person to take a walk with, even

153
00:09:20,760 --> 00:09:22,559
Speaker 3: in like city scapes, because it's like you can eat

154
00:09:22,600 --> 00:09:24,439
Speaker 3: that crack on the sidewalk, so you can eat that.

155
00:09:25,600 --> 00:09:29,240
Speaker 3: But Kurt would be the perfect person to walk alongside,

156
00:09:29,280 --> 00:09:31,720
Speaker 3: like eyes wide open, ears wide open, and to hear you.

157
00:09:31,760 --> 00:09:34,199
Speaker 3: So if you ever do a guided tour in southern California,

158
00:09:34,880 --> 00:09:37,360
Speaker 3: you have two people that will sign them immediately. Yeah.

159
00:09:38,120 --> 00:09:44,360
Speaker 2: Yeah, Oh my gosh. And southern California has such cool flora.

160
00:09:44,440 --> 00:09:47,480
Speaker 2: Oh man, you guys have some of the coolest plants.

161
00:09:47,960 --> 00:09:54,840
Speaker 3: Good a right, great when they're not on fire, when.

162
00:09:53,880 --> 00:10:01,000
Speaker 2: They are not on fire. Very important addendum. I know

163
00:10:01,120 --> 00:10:03,760
Speaker 2: all of us in like North America kind of have

164
00:10:03,840 --> 00:10:08,720
Speaker 2: the dice roll of our own particular natural disaster. Yeah,

165
00:10:08,760 --> 00:10:12,880
Speaker 2: and while tornadoes are terrifying, I do think I would

166
00:10:12,920 --> 00:10:18,280
Speaker 2: take our tornadoes over everyone else's everything. I was in

167
00:10:18,360 --> 00:10:21,319
Speaker 2: southern California for that earthquake back in March, and it

168
00:10:21,440 --> 00:10:24,360
Speaker 2: was Baby's first earthquake, and I was not all right.

169
00:10:26,280 --> 00:10:29,880
Speaker 3: I like them, like, I fought them so interesting because

170
00:10:29,880 --> 00:10:32,440
Speaker 3: they're like, there's a great reminder that we do live

171
00:10:32,480 --> 00:10:35,360
Speaker 3: on a dynamic planet that can kill us at any time.

172
00:10:35,760 --> 00:10:39,640
Speaker 3: So it's important to be present and to go, yeah,

173
00:10:39,760 --> 00:10:43,240
Speaker 3: we're not the top of the galactic food chain.

174
00:10:43,440 --> 00:10:45,960
Speaker 1: We're not in charge. We're not in charge. It's a

175
00:10:46,040 --> 00:10:46,800
Speaker 1: nice reminder.

176
00:10:47,000 --> 00:10:47,440
Speaker 3: I agree.

177
00:10:47,559 --> 00:10:50,120
Speaker 1: I don't like the I don't like the wildfires. I

178
00:10:50,160 --> 00:10:54,440
Speaker 1: would take tornadoes over wildfires because they're just so it's

179
00:10:54,640 --> 00:10:57,480
Speaker 1: just every it affects so much of the state.

180
00:10:57,679 --> 00:10:58,720
Speaker 2: It's exactly.

181
00:10:59,640 --> 00:11:02,080
Speaker 3: I don't know nature's baptism. That's what I say.

182
00:11:04,679 --> 00:11:06,719
Speaker 1: All right. I love that we were talking about night

183
00:11:06,760 --> 00:11:10,760
Speaker 1: shades before. Should we get into this story real quick.

184
00:11:10,840 --> 00:11:13,240
Speaker 3: Some potato stuff, some potato stuff.

185
00:11:13,520 --> 00:11:15,719
Speaker 2: Love potatoes stuff. That's what they called me in.

186
00:11:19,520 --> 00:11:19,920
Speaker 3: The words.

187
00:11:20,040 --> 00:11:23,720
Speaker 1: This was sent in by Jessica Hawks. Thank you, Jessica.

188
00:11:23,720 --> 00:11:26,240
Speaker 1: If you want to send us stories, you can DM

189
00:11:26,320 --> 00:11:29,840
Speaker 1: them to us on Instagram at the Bananas Podcast, or

190
00:11:29,840 --> 00:11:32,040
Speaker 1: you can email them to us at the Bananas Podcast

191
00:11:32,080 --> 00:11:36,200
Speaker 1: atmail dot com. This was on space dot com, classic

192
00:11:36,240 --> 00:11:40,120
Speaker 1: place to get your Space news. Potatoes are better than

193
00:11:40,200 --> 00:11:45,200
Speaker 1: human blood for making space bricks, scientists say, and this

194
00:11:45,280 --> 00:11:47,360
Speaker 1: is published by Josh Dinner.

195
00:11:49,360 --> 00:11:53,760
Speaker 3: Serving them up hot in there it is.

196
00:11:54,480 --> 00:11:59,520
Speaker 1: Scientists have created an intriguing concrete alternative using simulated simulated

197
00:11:59,559 --> 00:12:04,120
Speaker 1: Martian or Lunar soil, potato, starch, and salt. The space

198
00:12:04,200 --> 00:12:08,200
Speaker 1: concrete is twice as strong as conventional concrete. The researchers

199
00:12:08,200 --> 00:12:11,680
Speaker 1: say they hope the new material will eventually facilitate construction

200
00:12:11,760 --> 00:12:16,559
Speaker 1: efforts on the Moon and Mars. Okay, so those are

201
00:12:16,559 --> 00:12:19,079
Speaker 1: a great that's a great opening paragraph.

202
00:12:19,120 --> 00:12:20,400
Speaker 3: Right, couldn't love it more?

203
00:12:20,679 --> 00:12:23,960
Speaker 1: Couldn't love it more? Based on the title potatoes are

204
00:12:24,000 --> 00:12:29,600
Speaker 1: better than human blood, the next paragraph should be about human.

205
00:12:29,360 --> 00:12:32,600
Speaker 2: Blood, human hemoglobin.

206
00:12:33,160 --> 00:12:37,520
Speaker 1: Right, there we go. Let's count. Let's count the paragraphs

207
00:12:37,600 --> 00:12:42,320
Speaker 1: Josh Dinner puts before he mentions human blood. One, two,

208
00:12:42,679 --> 00:12:55,400
Speaker 1: There's three, four, five, six. It is the sixth paragraph down.

209
00:12:56,200 --> 00:13:01,079
Speaker 1: It's just talking about how strong potatoes are as bricks.

210
00:13:01,320 --> 00:13:04,960
Speaker 1: That's the whole Thing's talking about it for six paragraphs

211
00:13:05,040 --> 00:13:06,239
Speaker 1: and big paragraphs.

212
00:13:07,480 --> 00:13:10,000
Speaker 3: Weird as astronauts. Okay, here we go. Sorry.

213
00:13:10,080 --> 00:13:14,360
Speaker 1: Potato starch wasn't the first medium that University of Manchester

214
00:13:14,520 --> 00:13:19,720
Speaker 1: scientists tested in their search for ISRU building supplies. In

215
00:13:19,800 --> 00:13:23,559
Speaker 1: a previous study. Previous study, the same team explore the

216
00:13:23,559 --> 00:13:27,200
Speaker 1: possibility of using human blood and urine as binding agents

217
00:13:27,200 --> 00:13:31,440
Speaker 1: for their extraterrestrial concrete. They didn't go to potatoes first.

218
00:13:31,960 --> 00:13:34,880
Speaker 1: They went to potatoes second. They went to blood and

219
00:13:34,920 --> 00:13:39,120
Speaker 1: piss first. Okay, And the reason is the blood and

220
00:13:39,240 --> 00:13:42,520
Speaker 1: urine of astronauts, after all, are renewable resources, and they're

221
00:13:42,559 --> 00:13:46,839
Speaker 1: available wherever an astronauts mission might take them. Concrete from

222
00:13:46,880 --> 00:13:50,720
Speaker 1: the researcher's trials using blood and urine also produced straints

223
00:13:50,760 --> 00:13:55,560
Speaker 1: above traditional mixtures these bricks. Construction, however, would require that

224
00:13:55,720 --> 00:14:00,480
Speaker 1: astronauts replet repeatedly drained their own bodily fluids, which was

225
00:14:00,720 --> 00:14:01,760
Speaker 1: viewed as a drawback.

226
00:14:01,960 --> 00:14:06,800
Speaker 3: Yeah, thank you, Josh. Okay. Yeah, wasn't this in the

227
00:14:06,840 --> 00:14:09,439
Speaker 3: Martian the book in the movie. Wasn't he growing potatoes

228
00:14:09,480 --> 00:14:11,480
Speaker 3: to build? Wasn't he? I thought that was a part.

229
00:14:11,520 --> 00:14:11,920
Speaker 3: It was growing.

230
00:14:11,960 --> 00:14:14,760
Speaker 2: It was definitely growing potatoes. I think it was to

231
00:14:14,880 --> 00:14:18,480
Speaker 2: try and see, like what sustenance can be grown in

232
00:14:18,520 --> 00:14:22,000
Speaker 2: the soil on Mars. But now we know you can

233
00:14:22,080 --> 00:14:27,240
Speaker 2: also use it for building materials. I love a starch.

234
00:14:28,400 --> 00:14:32,640
Speaker 1: Also, the fact that it's stronger than concrete is very interesting.

235
00:14:32,960 --> 00:14:35,920
Speaker 1: Like that's okay, I'm interested, I'm listening.

236
00:14:36,400 --> 00:14:39,400
Speaker 2: I'm now suddenly like, oh my god, State of Idaho,

237
00:14:39,840 --> 00:14:44,800
Speaker 2: I have a crazy proposition for you.

238
00:14:44,920 --> 00:14:47,400
Speaker 3: Yeah, build a wall at the very top between us

239
00:14:47,440 --> 00:14:49,640
Speaker 3: and Canada. That really weird little.

240
00:14:49,360 --> 00:14:51,680
Speaker 2: Part of this little tiny strip.

241
00:14:51,520 --> 00:14:54,040
Speaker 3: That nobody I've ever met in my entire life has

242
00:14:54,080 --> 00:14:57,680
Speaker 3: ever been to, probably for great reason, but build a

243
00:14:57,720 --> 00:15:00,560
Speaker 3: potato wall between US and Canada. Just as a google, just.

244
00:15:00,440 --> 00:15:03,120
Speaker 1: As soon as a and we're talking about a three

245
00:15:03,160 --> 00:15:05,600
Speaker 1: foot wall. You can step over it. You can step

246
00:15:05,640 --> 00:15:06,080
Speaker 1: over it.

247
00:15:07,280 --> 00:15:09,400
Speaker 2: We mean no harm with it. We're not trying to

248
00:15:09,480 --> 00:15:11,840
Speaker 2: keep anybody out with it, but just to say that

249
00:15:11,920 --> 00:15:13,960
Speaker 2: we did it, they should do it.

250
00:15:14,080 --> 00:15:16,000
Speaker 3: And we know it's not going to go anywhere. So

251
00:15:16,360 --> 00:15:19,440
Speaker 3: I also read once the coffee grinds make cement like

252
00:15:19,480 --> 00:15:22,640
Speaker 3: twice as strong too. So what I'm asking is why

253
00:15:22,680 --> 00:15:25,040
Speaker 3: are we making this week ass cement? Should we be

254
00:15:25,160 --> 00:15:26,280
Speaker 3: using all this stuff?

255
00:15:27,480 --> 00:15:31,800
Speaker 2: I find nothing about questions. It's time to hold construction

256
00:15:32,160 --> 00:15:33,080
Speaker 2: on trial.

257
00:15:34,040 --> 00:15:36,680
Speaker 3: It's just a mafia thing. What's going on this?

258
00:15:38,480 --> 00:15:39,080
Speaker 2: Exactly?

259
00:15:39,600 --> 00:15:42,880
Speaker 1: Why was the first move asbestos? Why was that like

260
00:15:42,920 --> 00:15:49,000
Speaker 1: the first choice to get the most the most toxic ingredients.

261
00:15:48,760 --> 00:15:51,760
Speaker 2: An asbestosis defense, which is not something you will hear

262
00:15:51,800 --> 00:15:56,920
Speaker 2: me say often. It's very good at stopping fires, Oh.

263
00:15:56,760 --> 00:15:58,880
Speaker 1: Yeah, that's why there, it is.

264
00:16:00,600 --> 00:16:03,400
Speaker 2: Very bad for literally everything else.

265
00:16:04,720 --> 00:16:08,040
Speaker 3: Yeah. We every generation has its things. Our grandparents had

266
00:16:08,080 --> 00:16:12,080
Speaker 3: as fast as our parents had lead, and we have microplastics.

267
00:16:12,680 --> 00:16:15,040
Speaker 3: We all have things that are just killing us that

268
00:16:15,120 --> 00:16:17,800
Speaker 3: we readily welcome into our walls and homes.

269
00:16:18,400 --> 00:16:22,200
Speaker 2: Exactly. Oh man, I can't wait for Gen Alpha to

270
00:16:22,240 --> 00:16:25,160
Speaker 2: turn and look backwards at us with our microplastics, and

271
00:16:25,200 --> 00:16:27,840
Speaker 2: I can't wait to find out what their weird, small

272
00:16:27,920 --> 00:16:28,560
Speaker 2: bad will be.

273
00:16:30,160 --> 00:16:32,800
Speaker 1: I mean, like I really didn't expect it to be that.

274
00:16:32,920 --> 00:16:35,360
Speaker 1: I mean like when we were like the water coming

275
00:16:35,440 --> 00:16:38,400
Speaker 1: out of the tap is bad. So everybody, this is

276
00:16:38,440 --> 00:16:41,280
Speaker 1: a new healthy thing to do. Drink water out of

277
00:16:41,280 --> 00:16:45,600
Speaker 1: plastic bottles. Oh turns out no, don't do it. That

278
00:16:45,680 --> 00:16:47,160
Speaker 1: kills you faster.

279
00:16:48,960 --> 00:16:52,600
Speaker 3: Way worse in New Okay. So you're out. You know

280
00:16:52,640 --> 00:16:54,400
Speaker 3: you can. You can do all the stuff in the woods.

281
00:16:54,400 --> 00:16:57,080
Speaker 3: If you had to bind something you're building, you need

282
00:16:57,120 --> 00:16:59,680
Speaker 3: to stick one thing to another thing. What would be

283
00:16:59,720 --> 00:17:02,720
Speaker 3: your dream discovery in the woods? What is a natural

284
00:17:02,800 --> 00:17:07,640
Speaker 3: glue or ceiling? Or we're building ooh Oxy.

285
00:17:08,240 --> 00:17:11,480
Speaker 2: What part of the country do both of you hail from?

286
00:17:11,560 --> 00:17:15,040
Speaker 2: I know, Kurt, so you are from my side of

287
00:17:15,320 --> 00:17:18,080
Speaker 2: the of the woods, or at least you did stuff

288
00:17:18,119 --> 00:17:19,120
Speaker 2: in upstate New York.

289
00:17:19,480 --> 00:17:22,560
Speaker 1: Yes, upstate New York, New Jersey. Scotti's from Maryland. You're

290
00:17:22,560 --> 00:17:23,200
Speaker 1: in Ohio?

291
00:17:23,320 --> 00:17:23,600
Speaker 3: Correct?

292
00:17:23,720 --> 00:17:27,880
Speaker 2: Oh okay. So have you guys seen osage oranges aka

293
00:17:28,040 --> 00:17:32,040
Speaker 2: monkey balls? Those big, oblong green balls that you sometimes

294
00:17:32,280 --> 00:17:34,960
Speaker 2: find in the woods and kids love to throw them

295
00:17:35,000 --> 00:17:38,720
Speaker 2: at things. Y yeah, yes, yeah, those.

296
00:17:38,480 --> 00:17:39,840
Speaker 3: Guys and eggs or something.

297
00:17:39,960 --> 00:17:43,400
Speaker 2: Yes, they look like big old alien eggs, like wrinkly

298
00:17:43,480 --> 00:17:46,479
Speaker 2: little alien brains. I guess in the South they call

299
00:17:46,560 --> 00:17:48,800
Speaker 2: them horse apples. Please don't feed them to your horse.

300
00:17:50,000 --> 00:17:53,919
Speaker 2: They are filled with latexy goo. And when I was

301
00:17:53,920 --> 00:17:57,679
Speaker 2: a small feral child at my Montssori school, we were

302
00:17:57,720 --> 00:18:02,040
Speaker 2: allowed to build forts during recess, and that goop was

303
00:18:02,760 --> 00:18:10,520
Speaker 2: liquid gold. Every fall, people people ran businesses, stabbing them

304
00:18:10,960 --> 00:18:14,439
Speaker 2: and bleeding them of their late taxi glue. So I

305
00:18:14,480 --> 00:18:17,479
Speaker 2: don't know. We could glue leaves to the walls of

306
00:18:17,480 --> 00:18:18,320
Speaker 2: our forts.

307
00:18:19,440 --> 00:18:22,560
Speaker 1: Oh that's so awesome, so.

308
00:18:22,480 --> 00:18:30,600
Speaker 2: Much so yes, O sh orange mclaura palmifera. If you're

309
00:18:30,800 --> 00:18:31,840
Speaker 2: nasty or a.

310
00:18:31,800 --> 00:18:36,480
Speaker 1: Botanist, and now do you have a do you have

311
00:18:36,520 --> 00:18:37,880
Speaker 1: a botany degree at all?

312
00:18:38,520 --> 00:18:42,520
Speaker 2: So I studied environmental science and theater, which makes me

313
00:18:42,720 --> 00:18:43,720
Speaker 2: make perfect sense.

314
00:18:44,080 --> 00:18:47,320
Speaker 1: It does, yes, it does. That's amazing.

315
00:18:48,760 --> 00:18:53,320
Speaker 2: Honestly, go bucks. If I don't say it, they take

316
00:18:53,400 --> 00:18:56,000
Speaker 2: my degrees away if I don't take a box every

317
00:18:56,040 --> 00:19:04,520
Speaker 2: time they're mentioned big school, big into the sportball. My

318
00:19:04,760 --> 00:19:08,240
Speaker 2: like big secret is that I am low key such

319
00:19:08,240 --> 00:19:11,000
Speaker 2: a huge college football fan. I did not miss a

320
00:19:11,040 --> 00:19:17,120
Speaker 2: home game my entire undergraduate career at the Ohio State University.

321
00:19:17,200 --> 00:19:23,200
Speaker 1: Nice. My mother in law is a huge college football fan,

322
00:19:23,680 --> 00:19:26,439
Speaker 1: and so now my seven year old has become a

323
00:19:26,520 --> 00:19:27,960
Speaker 1: college football.

324
00:19:29,000 --> 00:19:29,639
Speaker 2: Start on.

325
00:19:31,160 --> 00:19:33,119
Speaker 1: But I'm just like in the middle, just being like,

326
00:19:33,200 --> 00:19:35,359
Speaker 1: all right, let's do it. That's fine.

327
00:19:36,680 --> 00:19:40,400
Speaker 3: But those big programs, especially Ohio State, University of Georgia,

328
00:19:40,440 --> 00:19:42,240
Speaker 3: the big ones, the ones that sell those one hundred

329
00:19:42,320 --> 00:19:47,040
Speaker 3: thousand seat stadiums on every other weekend. When you go

330
00:19:47,119 --> 00:19:51,840
Speaker 3: to those universities, they always are building new labs, new gyms,

331
00:19:52,119 --> 00:19:56,600
Speaker 3: new dorms, Like it does fund academian this way, Like

332
00:19:56,680 --> 00:20:00,760
Speaker 3: I'm sure your environmentals I would hope your environment studies

333
00:20:00,880 --> 00:20:04,280
Speaker 3: buildings were new or more modern buildings. Because there goes

334
00:20:04,280 --> 00:20:08,399
Speaker 3: that football team like going ten and one every season,

335
00:20:08,560 --> 00:20:11,600
Speaker 3: sometimes eleven or zero. It does weird, Like I was

336
00:20:11,600 --> 00:20:13,960
Speaker 3: always envious I went to state school. I went to

337
00:20:14,040 --> 00:20:16,920
Speaker 3: UMass who used to have a great basketball team, but

338
00:20:17,119 --> 00:20:18,800
Speaker 3: the years I were there did not, And you could

339
00:20:18,880 --> 00:20:22,240
Speaker 3: feel the budget cuts of a D one school without

340
00:20:22,440 --> 00:20:25,880
Speaker 3: huge athletic department, which is a shame, but it does

341
00:20:26,119 --> 00:20:29,280
Speaker 3: fund other things on campus for people that hate spores.

342
00:20:29,760 --> 00:20:30,720
Speaker 3: Oh big exactly.

343
00:20:31,160 --> 00:20:34,320
Speaker 2: Any if any sports haters are out there, rest assured

344
00:20:35,240 --> 00:20:38,160
Speaker 2: that the theater department. The theater department got a brand

345
00:20:38,200 --> 00:20:41,680
Speaker 2: new building exactly at the end of my time at

346
00:20:41,720 --> 00:20:44,520
Speaker 2: Ohio State. And that's not a thing that a lot

347
00:20:44,520 --> 00:20:46,880
Speaker 2: of theater programs say these.

348
00:20:47,960 --> 00:20:51,000
Speaker 3: No, maybe at Amber's College the theater departments getting the

349
00:20:51,040 --> 00:20:53,160
Speaker 3: football team some helmets, but I don't think they've won

350
00:20:53,200 --> 00:20:55,800
Speaker 3: a game in like thirty five years. So that's fine too.

351
00:20:56,000 --> 00:21:02,199
Speaker 3: We're all different, different strokes for different folks. I have

352
00:21:02,240 --> 00:21:05,600
Speaker 3: a fun one for you. So part of being a vegan,

353
00:21:05,720 --> 00:21:07,359
Speaker 3: you know, not the main thing about being a vegan,

354
00:21:07,400 --> 00:21:09,800
Speaker 3: but part of it is loving animals and not wanting

355
00:21:09,880 --> 00:21:13,280
Speaker 3: bad things to happen to them. So Corey Corey the

356
00:21:13,320 --> 00:21:15,920
Speaker 3: Steel Feather sent this in thank you, Corey Corey the

357
00:21:15,960 --> 00:21:19,439
Speaker 3: steel Feather. I mean, I think if Corey Corey something

358
00:21:19,520 --> 00:21:22,040
Speaker 3: and then their handle is the steel Feather, the steel Feather.

359
00:21:22,560 --> 00:21:25,919
Speaker 3: This was in People dot Com, hilariously written by maryon Watts,

360
00:21:25,960 --> 00:21:28,800
Speaker 3: who is the best in the biz. She's really good.

361
00:21:29,040 --> 00:21:32,160
Speaker 3: Woman says she won the lottery, then dumped her boyfriend

362
00:21:32,200 --> 00:21:34,879
Speaker 3: who insisted his dog deserved a trust fund.

363
00:21:35,880 --> 00:21:42,440
Speaker 2: What yeah, yeah, yeah, that there was so much to unpack.

364
00:21:42,760 --> 00:21:44,160
Speaker 1: There's a lot to unpack.

365
00:21:44,200 --> 00:21:47,240
Speaker 3: A good, good story, Thank you the steel feather.

366
00:21:47,880 --> 00:21:48,800
Speaker 2: Yeah.

367
00:21:48,840 --> 00:21:51,760
Speaker 3: A woman says her relationship with her ex boyfriend ended

368
00:21:51,880 --> 00:21:54,920
Speaker 3: after he got barking mad. She didn't want to share

369
00:21:54,960 --> 00:21:58,359
Speaker 3: her lottery winnings with his dog again maryon Watts Best

370
00:21:58,440 --> 00:22:02,480
Speaker 3: in the bizz So in a recent post online, a

371
00:22:02,520 --> 00:22:06,360
Speaker 3: woman claimed that her relationship soured after she won a lottery.

372
00:22:06,520 --> 00:22:09,679
Speaker 3: This is the most interesting detail this whole thing, because

373
00:22:09,760 --> 00:22:11,879
Speaker 3: I bet you were thinking it was millions of dollars

374
00:22:11,960 --> 00:22:12,199
Speaker 3: she won.

375
00:22:12,359 --> 00:22:14,560
Speaker 2: Yeah, I was assuming, yes.

376
00:22:14,640 --> 00:22:17,720
Speaker 3: After she won the lottery, netting fifty thousand dollars.

377
00:22:19,320 --> 00:22:25,240
Speaker 2: Okay, so that's less than a lot of human trust funds. Yeah,

378
00:22:25,320 --> 00:22:29,840
Speaker 2: were there children also vuying for this money? I'm starting

379
00:22:29,840 --> 00:22:31,479
Speaker 2: to understand.

380
00:22:31,160 --> 00:22:35,639
Speaker 3: Yes, exactly. After taxes, you're bringing home a cool twenty

381
00:22:35,680 --> 00:22:38,399
Speaker 3: eight k. That's a good amount of money. That can

382
00:22:38,440 --> 00:22:40,199
Speaker 3: get a lot of people out of a lot of debts.

383
00:22:40,200 --> 00:22:42,359
Speaker 3: That gets you your car fixed, that gets all your

384
00:22:42,400 --> 00:22:44,080
Speaker 3: bills paid, that gets your credit cards debt.

385
00:22:44,160 --> 00:22:46,560
Speaker 1: But it doesn't get your dog a trust fund. No,

386
00:22:46,720 --> 00:22:49,959
Speaker 1: that's not dog trust fund money. Dog trust fund money's

387
00:22:50,040 --> 00:22:53,840
Speaker 1: over ten million. That's where exact dog Trust fund money starts.

388
00:22:54,200 --> 00:22:57,680
Speaker 2: Yeah, unless your pet will be living like the cats

389
00:22:57,680 --> 00:23:02,560
Speaker 2: and the aristocrats. Okay, it isn't don't do it. It's

390
00:23:02,600 --> 00:23:03,360
Speaker 2: not worth it.

391
00:23:03,560 --> 00:23:05,800
Speaker 3: Yeah, and we love we love dogs, we love all.

392
00:23:06,040 --> 00:23:09,040
Speaker 3: Oh yes, pigs versus people. I'm going pigs all day.

393
00:23:09,119 --> 00:23:09,680
Speaker 3: Are you kidding?

394
00:23:09,720 --> 00:23:10,680
Speaker 2: They're so smart?

395
00:23:10,880 --> 00:23:14,680
Speaker 3: They're so smart. So here quote she says, before I won,

396
00:23:14,720 --> 00:23:16,960
Speaker 3: my boyfriend, who's a twenty nine year old male, and

397
00:23:16,960 --> 00:23:18,960
Speaker 3: I would always joke about how if I ever hit

398
00:23:19,160 --> 00:23:21,520
Speaker 3: hit it big, I had split it three ways between

399
00:23:21,560 --> 00:23:24,280
Speaker 3: me and him and his dog, Baxter. She wrote, Baxter

400
00:23:24,359 --> 00:23:26,680
Speaker 3: is a golden tree, great dog, and I love it.

401
00:23:27,240 --> 00:23:30,120
Speaker 3: Great dogs, and I love him. But I always thought,

402
00:23:30,160 --> 00:23:33,400
Speaker 3: you know, it was just a joke. However, once she won,

403
00:23:33,520 --> 00:23:37,080
Speaker 3: she said her boyfriend became dead serious about Baxter getting

404
00:23:37,080 --> 00:23:38,120
Speaker 3: a share of the money.

405
00:23:39,480 --> 00:23:44,040
Speaker 1: He wants a third of the money to go to Baxter. Correct,

406
00:23:44,320 --> 00:23:46,080
Speaker 1: he is Baxter doing?

407
00:23:46,680 --> 00:23:50,600
Speaker 3: What is he doing? He's living fourteen defensive habits?

408
00:23:51,200 --> 00:23:52,920
Speaker 2: Has Baxter developed?

409
00:23:53,040 --> 00:23:58,240
Speaker 3: Oh my goodness, you could feed dogs just cheap good

410
00:23:58,560 --> 00:24:02,320
Speaker 3: food and they go, thank you, thank you so much exactly.

411
00:24:03,040 --> 00:24:05,960
Speaker 2: No, Baxter is like, I don't know. They gave him

412
00:24:06,320 --> 00:24:11,560
Speaker 2: wagu or something, and now he's just like Kimball.

413
00:24:12,000 --> 00:24:14,200
Speaker 3: He's a foodie for whom.

414
00:24:14,760 --> 00:24:18,320
Speaker 1: But also he's a golden retrieve, you pope on the ground,

415
00:24:18,359 --> 00:24:20,399
Speaker 1: he's gonna eat it and wag his tail.

416
00:24:21,920 --> 00:24:27,400
Speaker 3: Dogs, they sure are. My boyfriend insisted that I had

417
00:24:27,400 --> 00:24:30,560
Speaker 3: promised that Baxter deserves ten thousand dollars in a dog

418
00:24:30,600 --> 00:24:33,600
Speaker 3: trust fund for future vet visits, Bill's toys and whatever

419
00:24:33,680 --> 00:24:37,760
Speaker 3: he needs. She writes, I told him that's ridiculous. Baxter's dog,

420
00:24:37,880 --> 00:24:41,040
Speaker 3: he doesn't need a trust fund. I'm I'm leaning in

421
00:24:41,080 --> 00:24:44,640
Speaker 3: her direction. I'll say it that way instead, she said,

422
00:24:44,640 --> 00:24:47,720
Speaker 3: her boyfriend started calling her selfish. He says, it's not

423
00:24:47,800 --> 00:24:50,960
Speaker 3: about the dog. It's about me keeping promises, and it

424
00:24:51,040 --> 00:24:54,720
Speaker 3: shows that I don't take our relationship seriously. This is

425
00:24:54,800 --> 00:24:57,840
Speaker 3: a red flag machine gun that is just firing a

426
00:24:57,960 --> 00:24:59,360
Speaker 3: spray into the air.

427
00:25:00,760 --> 00:25:03,560
Speaker 2: For a second. He had me because I'm like, oh,

428
00:25:03,600 --> 00:25:05,760
Speaker 2: you guys joked about it, Like, yeah, you can say

429
00:25:05,800 --> 00:25:07,879
Speaker 2: it was a joke, but like the idea of you

430
00:25:07,960 --> 00:25:11,840
Speaker 2: winning the lottery was also a joke. You know, strange

431
00:25:11,880 --> 00:25:15,679
Speaker 2: things happen all the time. But no, no, the selfish

432
00:25:15,760 --> 00:25:17,600
Speaker 2: and okay, no back on her side.

433
00:25:17,720 --> 00:25:20,680
Speaker 3: Also, if I won fifty million dollars. Maybe I would

434
00:25:20,760 --> 00:25:23,960
Speaker 3: give a dog a ten thousand dollars trust fund. Absolutely,

435
00:25:24,200 --> 00:25:26,720
Speaker 3: medical bills are coming one day.

436
00:25:26,960 --> 00:25:28,720
Speaker 2: One way, fine one or another.

437
00:25:29,600 --> 00:25:36,160
Speaker 3: Fifty k trust fund for anybody that's trust fun.

438
00:25:37,040 --> 00:25:38,080
Speaker 1: You can't all you.

439
00:25:38,040 --> 00:25:40,800
Speaker 2: Can't go to college on that money anymore, not the

440
00:25:40,840 --> 00:25:41,360
Speaker 2: whole thing.

441
00:25:41,640 --> 00:25:45,719
Speaker 3: That's one year of college. Yeah, that's so depressing. By

442
00:25:45,760 --> 00:25:49,360
Speaker 3: the way, that is so depressing. Send this dog to college.

443
00:25:49,400 --> 00:25:51,400
Speaker 3: Maybe this guy's got the wrong idea if he said,

444
00:25:51,440 --> 00:25:55,280
Speaker 3: I want my dog to go to the Ohio State University.

445
00:25:55,880 --> 00:25:59,879
Speaker 2: Honestly, we could use an air bud situation on our

446
00:25:59,880 --> 00:26:00,840
Speaker 2: basketball team.

447
00:26:01,280 --> 00:26:05,280
Speaker 1: Yeah, there's no rule that says the dog can't play

448
00:26:05,480 --> 00:26:07,040
Speaker 1: precisely precisely.

449
00:26:08,720 --> 00:26:12,479
Speaker 3: What a great conceit of an entoi. There's nothing in

450
00:26:12,480 --> 00:26:18,280
Speaker 3: the rule book that says. Still, the woman says she

451
00:26:18,359 --> 00:26:20,480
Speaker 3: did treat backs her to a pretty fancy dog bed

452
00:26:20,480 --> 00:26:23,240
Speaker 3: and some expensive treats with the money. That's see, that's

453
00:26:23,240 --> 00:26:26,440
Speaker 3: how she sees the deal. Yes, we're on her side,

454
00:26:26,480 --> 00:26:29,480
Speaker 3: but she said her ex demand said that doesn't count

455
00:26:29,520 --> 00:26:32,199
Speaker 3: because it wasn't an official part of the ten thousand

456
00:26:32,320 --> 00:26:37,760
Speaker 3: dollars I supposedly promised. No, No, the original poster even

457
00:26:37,760 --> 00:26:40,159
Speaker 3: said that her boyfriend mentioned going to a lawyer to

458
00:26:40,240 --> 00:26:42,280
Speaker 3: set up a trust fund for the dog to make

459
00:26:42,320 --> 00:26:45,760
Speaker 3: this official. What she says, I feel like I'm living

460
00:26:45,760 --> 00:26:48,360
Speaker 3: in the Twilight zone, she concluded, going on to ask

461
00:26:48,440 --> 00:26:50,399
Speaker 3: others if they really thought she was in the wrong.

462
00:26:50,600 --> 00:26:54,320
Speaker 3: The answer from social media was a resounding no. The

463
00:26:54,400 --> 00:26:56,760
Speaker 3: woman read it, Yeah, I know, Reddit got in there.

464
00:26:57,400 --> 00:27:00,000
Speaker 3: The woman updated her claim, saying that her boyfriend double

465
00:27:00,240 --> 00:27:02,480
Speaker 3: down on his way of thinking and that ultimately she

466
00:27:02,680 --> 00:27:05,320
Speaker 3: broke up with him. Quote. I told him that this

467
00:27:05,359 --> 00:27:09,439
Speaker 3: whole situation raised huge red flags, and after two years together,

468
00:27:09,880 --> 00:27:12,600
Speaker 3: I can't believe he's acting like this, she wrote. If

469
00:27:12,600 --> 00:27:16,320
Speaker 3: he's this unreasonable about something so absurd, I cannot imagine

470
00:27:16,320 --> 00:27:18,680
Speaker 3: dealing with more serious issues down the road.

471
00:27:19,240 --> 00:27:19,760
Speaker 2: Exactly.

472
00:27:20,119 --> 00:27:22,840
Speaker 1: Yeah, the two year the two year mark is where

473
00:27:22,840 --> 00:27:26,840
Speaker 1: you make calls like that, exactly. Have definitely made calls

474
00:27:26,880 --> 00:27:29,000
Speaker 1: like that at the two year mark, where something happens

475
00:27:29,040 --> 00:27:31,800
Speaker 1: and I go that is I'm just taking that as

476
00:27:31,800 --> 00:27:33,920
Speaker 1: an example of how you will act in the future.

477
00:27:34,040 --> 00:27:35,080
Speaker 1: And we are no.

478
00:27:34,920 --> 00:27:38,479
Speaker 2: Longer going to be together, right, because I don't know

479
00:27:38,600 --> 00:27:42,399
Speaker 2: people can can hide their kookiness for a year or so.

480
00:27:43,000 --> 00:27:47,080
Speaker 2: Once you hit year two, it just gets exhausting. Everybody's

481
00:27:47,080 --> 00:27:50,959
Speaker 2: showing their true colors. Everyone's putting their cards on the table,

482
00:27:51,280 --> 00:27:54,719
Speaker 2: and his cards were dull. Trust fun And that is

483
00:27:54,760 --> 00:27:56,280
Speaker 2: a wild card.

484
00:27:56,400 --> 00:27:59,240
Speaker 1: It's a wild wild card because if he went to

485
00:27:59,320 --> 00:28:02,560
Speaker 1: a lawyer, a lawyer would say a dog cannot have

486
00:28:02,680 --> 00:28:03,560
Speaker 1: a trust fund.

487
00:28:04,040 --> 00:28:07,439
Speaker 2: I cannot wait to ask my attorney fiance about this

488
00:28:08,080 --> 00:28:09,399
Speaker 2: when he gets home from work.

489
00:28:10,440 --> 00:28:13,040
Speaker 3: I mean, you might be able to open one. But again,

490
00:28:13,840 --> 00:28:18,360
Speaker 3: fifty thousand dollars after taxes is if they gave ten

491
00:28:18,400 --> 00:28:20,720
Speaker 3: thousand dollars. Yeah, they each get ten thousand dollars. So

492
00:28:20,720 --> 00:28:23,159
Speaker 3: she should even give her boyfriend ten thousands, should give me?

493
00:28:23,119 --> 00:28:26,879
Speaker 1: No, it's her money. She shouldn't be like, if you

494
00:28:26,880 --> 00:28:29,520
Speaker 1: will have we'll go on vacation or something like that.

495
00:28:29,920 --> 00:28:31,960
Speaker 1: So this is how you handle this. You go, let's

496
00:28:32,000 --> 00:28:33,960
Speaker 1: make the dog trust fund. She goes, no, no, no,

497
00:28:34,040 --> 00:28:36,639
Speaker 1: I'm not doing that, and you're like, oh, yeah, I guess.

498
00:28:36,680 --> 00:28:37,560
Speaker 1: So that's it.

499
00:28:38,240 --> 00:28:42,600
Speaker 2: That's it. Conversation terminated. They could I don't know, they

500
00:28:42,640 --> 00:28:47,440
Speaker 2: could make a thousand dollars health savings account for that dog. Great,

501
00:28:48,200 --> 00:28:51,560
Speaker 2: just for future vet things. Yeah, because that is just

502
00:28:51,600 --> 00:28:53,920
Speaker 2: a smart thing. To do. Invest it.

503
00:28:54,320 --> 00:28:58,560
Speaker 3: Yeah, and then you can laugh, buy thirty thousand dollars

504
00:28:58,600 --> 00:29:02,320
Speaker 3: worth of scratch tickets and quadruple your money overnight. It

505
00:29:02,360 --> 00:29:04,560
Speaker 3: would be fun for the dog to scratch at them too.

506
00:29:04,640 --> 00:29:07,360
Speaker 3: Get the whole family out there with pennies in their paws.

507
00:29:07,720 --> 00:29:09,960
Speaker 1: Here's what you do. Here is what you do.

508
00:29:10,440 --> 00:29:10,800
Speaker 3: You get.

509
00:29:11,000 --> 00:29:13,400
Speaker 1: You go to the pet insurance people and you say

510
00:29:13,440 --> 00:29:17,200
Speaker 1: how much for a lifetime insurance plan for this dog? Yes,

511
00:29:17,400 --> 00:29:20,880
Speaker 1: I bet you it's fifteen hundred dollars exactly.

512
00:29:21,080 --> 00:29:24,080
Speaker 2: And then you go to that dog and say, okay, sweetie,

513
00:29:24,080 --> 00:29:25,240
Speaker 2: get as sick as you want.

514
00:29:27,280 --> 00:29:31,760
Speaker 1: I canceled my I had pet insurance for I had

515
00:29:31,760 --> 00:29:35,720
Speaker 1: pet insurance for ten years. I canceled it three months

516
00:29:36,080 --> 00:29:39,560
Speaker 1: before my dog needed knee surgery on both knees.

517
00:29:39,920 --> 00:29:42,000
Speaker 2: That is the way, as someone who used to work

518
00:29:42,040 --> 00:29:44,880
Speaker 2: for a dog company, that is the way it always goes.

519
00:29:45,440 --> 00:29:47,880
Speaker 1: Because they start upping the premiums and I was like,

520
00:29:47,920 --> 00:29:51,200
Speaker 1: I can't pay this much money for the dog. We've

521
00:29:51,240 --> 00:29:53,640
Speaker 1: never used the insurance. And I should have thought, no,

522
00:29:54,360 --> 00:29:58,120
Speaker 1: this is when you'll start using the insurance. That's your

523
00:29:58,200 --> 00:29:59,000
Speaker 1: dog more Now.

524
00:30:00,040 --> 00:30:02,240
Speaker 2: Opotello was like, it's my time to shine.

525
00:30:03,200 --> 00:30:07,000
Speaker 3: Go my goodness, Curdie. But you want to tease us

526
00:30:07,000 --> 00:30:08,480
Speaker 3: into some thumbs ups.

527
00:30:08,280 --> 00:30:10,520
Speaker 1: Bud, Yeah, I will.

528
00:30:10,760 --> 00:30:11,720
Speaker 3: Here we go.

529
00:30:13,520 --> 00:30:19,160
Speaker 1: Bing and look at this. I will continue the lottery

530
00:30:19,640 --> 00:30:22,880
Speaker 1: with a man who found twenty dollars on the ground

531
00:30:23,080 --> 00:30:26,440
Speaker 1: uses it to buy a one million dollar winning lottery ticket.

532
00:30:26,680 --> 00:30:28,680
Speaker 3: See that's all these people needed to do.

533
00:30:28,720 --> 00:30:31,720
Speaker 2: It's just see it's just that easy.

534
00:30:32,320 --> 00:30:34,840
Speaker 3: Uh okay. So these are our thumbs up. These are

535
00:30:35,040 --> 00:30:38,240
Speaker 3: real user submissions where they just root somebody else on.

536
00:30:38,360 --> 00:30:42,320
Speaker 3: It's always nice. Kayla is thumbing herself up for graduating

537
00:30:42,360 --> 00:30:45,160
Speaker 3: with two master's degrees, one in legal studies, the other

538
00:30:45,200 --> 00:30:47,960
Speaker 3: in psychology. Bananas helped her get through grad school and

539
00:30:48,000 --> 00:30:52,480
Speaker 3: she's continuing on to get her PhD. Thumbs up, Kayla.

540
00:30:52,880 --> 00:30:55,400
Speaker 2: Thumbs up, Kayla, that is that is awesome.

541
00:30:55,480 --> 00:30:59,600
Speaker 3: Were you a double major Alexis or just a major minor?

542
00:31:00,240 --> 00:31:04,440
Speaker 2: I was a double major A lot of long days.

543
00:31:04,480 --> 00:31:08,560
Speaker 2: I can only imagine what double master's degrees.

544
00:31:08,960 --> 00:31:09,800
Speaker 3: Yeah, it would make.

545
00:31:09,720 --> 00:31:13,880
Speaker 2: Your day look like because double undergrad degrees was already

546
00:31:14,320 --> 00:31:16,800
Speaker 2: five hours of sleep maximum A lot.

547
00:31:18,680 --> 00:31:23,080
Speaker 3: Yes, I just wanted to thumbs up. Tina and Liam Williams.

548
00:31:23,080 --> 00:31:27,360
Speaker 3: They came to our banios live in Seattle. Kurt and Tina.

549
00:31:27,440 --> 00:31:30,200
Speaker 3: I hope everything's looking good and you're doing well feeling healthy.

550
00:31:31,640 --> 00:31:35,040
Speaker 3: Thumbs up to Sarah Painter, who is my bestie, and Boulder,

551
00:31:35,120 --> 00:31:39,240
Speaker 3: who completed her poll watching training so she'll be watching

552
00:31:39,280 --> 00:31:42,520
Speaker 3: on election day to make no on her words, sananers

553
00:31:42,600 --> 00:31:46,880
Speaker 3: take place, so good forew Sarah Painter, go Maple leaves

554
00:31:46,920 --> 00:31:52,840
Speaker 3: thumbs up. Meredith Malarch cool name. What's the thumb her

555
00:31:52,880 --> 00:31:56,560
Speaker 3: boyfriend r J reins up. Now, that's a good name.

556
00:31:57,040 --> 00:31:59,960
Speaker 2: That's a good name. That's a comic book character.

557
00:31:59,720 --> 00:32:05,120
Speaker 3: Name, mar Jay rains. He is an incredible tattoo artist.

558
00:32:05,120 --> 00:32:08,920
Speaker 3: She's thumbing up his incredible tattoo art. Mayor, that's what

559
00:32:09,040 --> 00:32:11,800
Speaker 3: she wrote. Mayor says that Kurt, you and I should

560
00:32:11,880 --> 00:32:14,800
Speaker 3: visit Traverse City, Michigan or yeah.

561
00:32:14,680 --> 00:32:17,080
Speaker 1: I guess Traverse.

562
00:32:16,360 --> 00:32:20,560
Speaker 3: Yeah, Traverse City, Michigan for the local wine, local beer,

563
00:32:20,600 --> 00:32:24,760
Speaker 3: and local spirit industries there, and for Sleeping Bear National Park.

564
00:32:25,720 --> 00:32:28,520
Speaker 1: I've been to Traverse City many, many times. It is

565
00:32:28,560 --> 00:32:29,720
Speaker 1: a delightful little town.

566
00:32:30,160 --> 00:32:32,560
Speaker 3: Well, I bet it's a good place to forage too.

567
00:32:32,640 --> 00:32:35,440
Speaker 3: Sleeping Bear right goes wrong? Right?

568
00:32:35,560 --> 00:32:37,640
Speaker 2: Absolutely beautiful.

569
00:32:37,760 --> 00:32:41,360
Speaker 3: Oh, and last but not least, another great name Samantha

570
00:32:41,560 --> 00:32:46,800
Speaker 3: Joy is thumbing her retired dad Joey Walker up so

571
00:32:47,240 --> 00:32:52,160
Speaker 3: murder bananas are murdering no bananimals. He is listened to this.

572
00:32:52,280 --> 00:32:54,240
Speaker 3: He has a new true crime podcast. He is a

573
00:32:54,400 --> 00:32:59,240
Speaker 3: two time Karate World champion, retired police officer in Total Badass.

574
00:32:59,680 --> 00:33:02,239
Speaker 3: He as a true crime podcast and I checked they

575
00:33:02,320 --> 00:33:04,880
Speaker 3: posted a new episode four days ago, so it's still active.

576
00:33:05,520 --> 00:33:09,800
Speaker 3: It is called Serial Defense and it reviews cases from

577
00:33:09,920 --> 00:33:13,120
Speaker 3: law enforcement perspectives. As I said, he's a retired cop,

578
00:33:13,880 --> 00:33:17,880
Speaker 3: and then he provides life saving tactics that could be

579
00:33:18,080 --> 00:33:20,640
Speaker 3: used in those type of crimes if any of us

580
00:33:20,720 --> 00:33:24,360
Speaker 3: were ever in danger. Look at that now, that is

581
00:33:24,480 --> 00:33:27,240
Speaker 3: a great idea for a true crime podcast. So if

582
00:33:27,280 --> 00:33:30,360
Speaker 3: you're a victim of this type of crime, he provides

583
00:33:30,400 --> 00:33:32,120
Speaker 3: you with the way to fight your way out of it.

584
00:33:33,200 --> 00:33:35,440
Speaker 3: Samantha wants she wanted to.

585
00:33:35,520 --> 00:33:45,000
Speaker 1: Know everyone run away what I do for every single

586
00:33:45,080 --> 00:33:48,360
Speaker 1: one or my grab my put my hands on my

587
00:33:48,440 --> 00:33:50,360
Speaker 1: hips and bend at the knees and moan because that

588
00:33:50,560 --> 00:33:51,800
Speaker 1: is what I did the last time.

589
00:33:51,960 --> 00:33:52,600
Speaker 3: Some would.

590
00:33:55,160 --> 00:33:57,080
Speaker 1: Just act weird and they will leave you alone.

591
00:33:58,560 --> 00:34:01,280
Speaker 3: Yeah. Mine is the verse psychology where I get too

592
00:34:01,320 --> 00:34:03,480
Speaker 3: excited about the crime happening for me and act like

593
00:34:03,600 --> 00:34:05,120
Speaker 3: I'm a part of it, and we go try to

594
00:34:05,160 --> 00:34:09,279
Speaker 3: get somebody else. And then I run away, like, yeah,

595
00:34:09,360 --> 00:34:12,320
Speaker 3: while you're kidnapping me, let's go get somebody else. This

596
00:34:12,520 --> 00:34:14,640
Speaker 3: is cool, man, I've always wanted to do this. I'm

597
00:34:14,640 --> 00:34:16,920
Speaker 3: pretty strong. Let's go for a big guy. And then

598
00:34:16,960 --> 00:34:21,440
Speaker 3: I run away. And Samantha wanted to know what we

599
00:34:21,600 --> 00:34:24,640
Speaker 3: record bananas on so her dad can sound even better.

600
00:34:24,800 --> 00:34:30,240
Speaker 3: Our mics are sure SM seven dbs and we record.

601
00:34:30,360 --> 00:34:33,160
Speaker 3: We plug those into zoom H four n pros. So

602
00:34:33,280 --> 00:34:37,520
Speaker 3: there you go, sure SM seven dbs and into zoom

603
00:34:37,719 --> 00:34:39,719
Speaker 3: h fourn pros and we sound pretty good. I think,

604
00:34:39,800 --> 00:34:40,279
Speaker 3: I think so.

605
00:34:40,960 --> 00:34:43,719
Speaker 1: And so I got a recommendation for microphone companies. Why

606
00:34:43,719 --> 00:34:47,480
Speaker 1: don't you name your microphone like the good One. E's

607
00:34:47,480 --> 00:34:49,719
Speaker 1: a name, especially for podcasters.

608
00:34:49,840 --> 00:34:50,719
Speaker 3: This is the good one.

609
00:34:51,080 --> 00:34:53,720
Speaker 1: Just get that, sure the good one, quote unquote.

610
00:34:54,360 --> 00:34:54,840
Speaker 3: I agree.

611
00:34:56,280 --> 00:34:58,520
Speaker 1: All right, here it is, and of course we are

612
00:34:58,640 --> 00:35:04,440
Speaker 1: here with Alexis Nicole Nelson. You can find her online,

613
00:35:04,760 --> 00:35:08,560
Speaker 1: of course, at Black Forager, on Instagram and on TikTok.

614
00:35:08,640 --> 00:35:12,720
Speaker 2: Correct that's me, oh on TikTok, it's at Alexis Nicole

615
00:35:12,760 --> 00:35:14,960
Speaker 2: because I didn't think the kids liked plants when I

616
00:35:15,040 --> 00:35:15,600
Speaker 2: started it.

617
00:35:15,960 --> 00:35:18,640
Speaker 3: All right, but they do. And I watched your Ted

618
00:35:18,760 --> 00:35:21,960
Speaker 3: Talk earlier this week. If the animals out there who

619
00:35:22,200 --> 00:35:28,640
Speaker 3: liked Ted Talks, Alexis is possibly the funniest one ever made.

620
00:35:29,760 --> 00:35:30,400
Speaker 1: That's awesome.

621
00:35:30,640 --> 00:35:33,480
Speaker 3: Oh it's good. And it's also good because the audience

622
00:35:33,600 --> 00:35:36,800
Speaker 3: are a bunch of smarty pants people who I wouldn't

623
00:35:36,880 --> 00:35:43,560
Speaker 3: say are the world's greatest comedy crowd. No, Alexis's sense

624
00:35:43,640 --> 00:35:47,040
Speaker 3: of humor was rising so far above their heads that

625
00:35:47,200 --> 00:35:49,920
Speaker 3: I was laughing at them, not laughing at some of

626
00:35:49,960 --> 00:35:54,360
Speaker 3: the jokes because in their head they're trying to outsmart

627
00:35:54,520 --> 00:35:56,440
Speaker 3: silly and you just can't do it.

628
00:35:56,680 --> 00:35:58,920
Speaker 2: You just can't do it. You just can't do it.

629
00:35:59,080 --> 00:36:01,600
Speaker 2: Sometimes you just got a high kick at Bill Gates.

630
00:36:02,040 --> 00:36:05,759
Speaker 3: Yes, it was great. Anyways, it's a great, great Ted Talk.

631
00:36:05,760 --> 00:36:08,080
Speaker 3: If you're the kind of person that likes those, make

632
00:36:08,160 --> 00:36:10,359
Speaker 3: sure you look it up. It's a really good one.

633
00:36:11,280 --> 00:36:12,520
Speaker 1: That's got to be a hard room.

634
00:36:13,600 --> 00:36:17,200
Speaker 2: It is. Yeah, I have never been more nervous in

635
00:36:17,320 --> 00:36:20,080
Speaker 2: my life. Also, when they asked me if I wanted

636
00:36:20,120 --> 00:36:22,480
Speaker 2: to do it, I was like, yes, let me take

637
00:36:22,560 --> 00:36:25,440
Speaker 2: this thing. That is famously hard and make it harder.

638
00:36:25,920 --> 00:36:30,239
Speaker 2: I'm going to cook a dish in real time while

639
00:36:30,280 --> 00:36:33,279
Speaker 2: I'm giving my talk with a recipe that has to

640
00:36:33,360 --> 00:36:36,080
Speaker 2: do with what I'm giving my talk on, So don't

641
00:36:36,160 --> 00:36:36,440
Speaker 2: do that.

642
00:36:39,719 --> 00:36:42,000
Speaker 3: It was good because it was not. It really wasn't

643
00:36:42,200 --> 00:36:44,960
Speaker 3: even so much about forging. It was about veganism, and

644
00:36:45,880 --> 00:36:50,560
Speaker 3: I thought that you were extremely consider it about a

645
00:36:50,640 --> 00:36:52,480
Speaker 3: lot of people when they think vegan, they think of

646
00:36:52,960 --> 00:36:55,640
Speaker 3: like you said, that's sort of an amalgamation of all

647
00:36:55,719 --> 00:36:58,680
Speaker 3: the annoying vegans they've ever met, telling them that they're

648
00:36:58,719 --> 00:37:03,440
Speaker 3: bad people and wrong, and then comparing real bacon to

649
00:37:03,920 --> 00:37:07,840
Speaker 3: vegan bacon, and you're never going to win that debate.

650
00:37:08,080 --> 00:37:11,840
Speaker 3: It's never So introduce a brand new vegan food that

651
00:37:12,000 --> 00:37:14,320
Speaker 3: tastes great, that can't be compared.

652
00:37:15,320 --> 00:37:20,440
Speaker 2: Exactly, and encourage people to make little changes, because anytime

653
00:37:20,480 --> 00:37:23,680
Speaker 2: that you are like, hey, change your entire life and livelihood,

654
00:37:23,920 --> 00:37:26,680
Speaker 2: people are gonna be like, whoa there, Tiger. I actually

655
00:37:26,760 --> 00:37:29,040
Speaker 2: want to do that, even less than I already did,

656
00:37:29,080 --> 00:37:30,080
Speaker 2: because you told me to.

657
00:37:30,560 --> 00:37:33,840
Speaker 3: That's right. I remember when the TV industry tried to

658
00:37:33,840 --> 00:37:36,239
Speaker 3: get us to buy curve TVs and I was like, oh,

659
00:37:36,680 --> 00:37:40,000
Speaker 3: fuck yourself, there's no way, you know what, I was

660
00:37:40,120 --> 00:37:41,080
Speaker 3: right about that way?

661
00:37:43,400 --> 00:37:46,279
Speaker 1: Why would we I don't never have they even give

662
00:37:46,360 --> 00:37:48,239
Speaker 1: us a reason why. They're just like this is it?

663
00:37:48,400 --> 00:37:48,719
Speaker 3: By it?

664
00:37:48,840 --> 00:37:49,000
Speaker 2: Now?

665
00:37:49,440 --> 00:37:49,879
Speaker 3: New thing?

666
00:37:50,200 --> 00:37:51,320
Speaker 2: Do it? Do it?

667
00:37:51,719 --> 00:37:54,239
Speaker 3: They just ran out of new ideas. But also it's like,

668
00:37:54,400 --> 00:37:57,279
Speaker 3: you're probably living alone. You don't have anybody sitting to

669
00:37:57,360 --> 00:37:59,439
Speaker 3: the left and right of you more than four feet.

670
00:37:59,560 --> 00:38:00,759
Speaker 3: This was just you and me.

671
00:38:03,719 --> 00:38:07,200
Speaker 2: Oh that's how I thought about Quibbi. Everyone was like, no, no,

672
00:38:07,520 --> 00:38:10,320
Speaker 2: do it. No, I know, I think I'll be okay.

673
00:38:10,760 --> 00:38:14,279
Speaker 1: It was so fascinating the amount of money that it was.

674
00:38:14,600 --> 00:38:17,160
Speaker 1: I was like, I kept saying, I was like, because

675
00:38:17,200 --> 00:38:21,279
Speaker 1: that idea specifically had been tried by three to four

676
00:38:21,400 --> 00:38:24,040
Speaker 1: other companies who had then gone under within one or

677
00:38:24,080 --> 00:38:26,919
Speaker 1: two years. And I was like, they got to these

678
00:38:27,000 --> 00:38:31,000
Speaker 1: people have so much money, they gotta have thought that

679
00:38:31,800 --> 00:38:35,000
Speaker 1: they must know something we don't know, and they did.

680
00:38:35,440 --> 00:38:36,319
Speaker 1: They're just dumb.

681
00:38:37,320 --> 00:38:39,839
Speaker 2: It was just just a bunch of groups of people

682
00:38:39,920 --> 00:38:42,520
Speaker 2: being like, no, no, but we're better than the last people.

683
00:38:42,680 --> 00:38:44,719
Speaker 3: Yeah, were amazing.

684
00:38:45,719 --> 00:38:48,960
Speaker 1: It was absolutely amazing. And anyway, everybody pick up Scotty's

685
00:38:49,000 --> 00:38:50,200
Speaker 1: Quibbi show.

686
00:38:50,280 --> 00:38:54,440
Speaker 3: Yeah, bad Ideas. It's onku right now, bad ideas.

687
00:38:56,719 --> 00:38:58,880
Speaker 2: Ten straight minutes of bad ideas.

688
00:38:59,560 --> 00:39:01,480
Speaker 3: That's about all it was worth, to be honest, it

689
00:39:01,560 --> 00:39:03,640
Speaker 3: was great. They did send us around the world. We

690
00:39:03,680 --> 00:39:05,560
Speaker 3: went to Peru and to the Bahamas. We went up

691
00:39:05,600 --> 00:39:05,839
Speaker 3: the end.

692
00:39:06,000 --> 00:39:07,120
Speaker 2: That's amazing on.

693
00:39:07,280 --> 00:39:10,560
Speaker 3: Quibi and we knew it wasn't gonna work. But they

694
00:39:10,600 --> 00:39:12,720
Speaker 3: took an hour long format that we had been pitching

695
00:39:12,760 --> 00:39:16,000
Speaker 3: the NBC, to Fox, to all the streamers, and we

696
00:39:16,080 --> 00:39:19,000
Speaker 3: walked into Quibi and they said, we'll buy ten right now,

697
00:39:19,120 --> 00:39:21,719
Speaker 3: but they have to be seven to ten minutes. And

698
00:39:21,840 --> 00:39:25,600
Speaker 3: so imagine taking an hour episode pitch and going, how

699
00:39:25,640 --> 00:39:27,920
Speaker 3: do we just do one thing and keep it interesting?

700
00:39:28,400 --> 00:39:29,160
Speaker 2: Oh my gosh.

701
00:39:29,280 --> 00:39:33,239
Speaker 3: So we knew. Thank god, when Quibi fell, they sold

702
00:39:33,320 --> 00:39:36,239
Speaker 3: all their nonscripted all the reality shows to Roku, where

703
00:39:36,280 --> 00:39:38,840
Speaker 3: it found a new audience that was a much better audience.

704
00:39:39,120 --> 00:39:43,320
Speaker 2: Oh yeah, Roku is Roku thirty flirty and thriving.

705
00:39:43,640 --> 00:39:43,879
Speaker 3: Yeah.

706
00:39:43,960 --> 00:39:46,640
Speaker 2: I really only wanted to say thriving, but I can't

707
00:39:46,680 --> 00:39:47,840
Speaker 2: say it without saying.

708
00:39:48,280 --> 00:39:52,960
Speaker 3: Golly, yeah, exactly, I get it. But we knew going in,

709
00:39:53,320 --> 00:39:55,520
Speaker 3: so we like looked at you, Adam and I were like, Okay,

710
00:39:55,640 --> 00:39:59,720
Speaker 3: this thing's gonna fold let's get paid, let's travel as friends,

711
00:39:59,800 --> 00:40:03,160
Speaker 3: and yeah we won Quibi. We did the best thing

712
00:40:03,200 --> 00:40:05,920
Speaker 3: you could do. We traveled with friends around the world

713
00:40:06,400 --> 00:40:09,080
Speaker 3: and never had to pay a penny out of pocket.

714
00:40:09,400 --> 00:40:11,719
Speaker 2: No, you're an American hero. You did what I wish

715
00:40:11,800 --> 00:40:15,839
Speaker 2: I could have also time, which is like, well, while

716
00:40:15,960 --> 00:40:22,200
Speaker 2: they are throwing just groundles of dollars, let's just go

717
00:40:22,400 --> 00:40:23,680
Speaker 2: have a guitime.

718
00:40:24,160 --> 00:40:27,640
Speaker 3: That is forrigin the Seychelles. How about that?

719
00:40:28,440 --> 00:40:31,759
Speaker 2: Yeah that sounds that sounds perfect and very necessary.

720
00:40:33,680 --> 00:40:36,520
Speaker 1: That's why whenever I hear of a new thing. But

721
00:40:36,800 --> 00:40:40,080
Speaker 1: I'm just like, get in early, get in early when

722
00:40:40,120 --> 00:40:43,600
Speaker 1: they have that first round of investor money, get them

723
00:40:43,880 --> 00:40:45,399
Speaker 1: money and get out.

724
00:40:45,600 --> 00:40:49,040
Speaker 3: That is all you need to do. Bingo all right?

725
00:40:50,239 --> 00:40:53,720
Speaker 1: So right, yeah, I'm making TV for watches right.

726
00:40:53,640 --> 00:40:54,960
Speaker 2: Now, just kidd.

727
00:40:56,840 --> 00:41:00,839
Speaker 3: Television, all right.

728
00:41:01,000 --> 00:41:03,560
Speaker 1: So, uh, we had that man who found twenty dollars

729
00:41:03,600 --> 00:41:05,759
Speaker 1: on the ground used to buy a million dollar winning

730
00:41:05,800 --> 00:41:10,880
Speaker 1: lottery ticket. The story is in the title, That's what happened.

731
00:41:11,120 --> 00:41:13,440
Speaker 1: So I'm gonna go and do another one because this

732
00:41:13,520 --> 00:41:16,120
Speaker 1: one I've been wanting to talk about. But it feels

733
00:41:16,400 --> 00:41:19,720
Speaker 1: like what used to what what what my old English

734
00:41:19,760 --> 00:41:25,040
Speaker 1: teacher used to call a brown paper bag book. It

735
00:41:25,200 --> 00:41:27,960
Speaker 1: is not something you show that you're reading to other people.

736
00:41:28,719 --> 00:41:32,279
Speaker 1: This is in Mashable dot Com. I don't know if

737
00:41:32,360 --> 00:41:35,880
Speaker 1: this is legit, like I searched for many different places

738
00:41:35,880 --> 00:41:39,560
Speaker 1: where it was re published. It is a real company.

739
00:41:39,640 --> 00:41:43,280
Speaker 1: But here's the here's the title, talking in Dreams. Question

740
00:41:43,440 --> 00:41:48,360
Speaker 1: Mark scientists achieve first ever communication between two people in

741
00:41:48,520 --> 00:41:49,120
Speaker 1: their sleep.

742
00:41:49,320 --> 00:41:49,520
Speaker 3: Huh.

743
00:41:51,680 --> 00:41:55,840
Speaker 1: This was written by the Mashable News staff. Nobody wanted

744
00:41:55,840 --> 00:41:59,759
Speaker 1: to Nobody wanted to take of this.

745
00:42:00,719 --> 00:42:01,840
Speaker 2: It was a group effort.

746
00:42:02,760 --> 00:42:05,960
Speaker 1: Scientists of California have turned a sci fi idea into

747
00:42:06,040 --> 00:42:09,840
Speaker 1: a reality. A company called rem Space has successfully achieved

748
00:42:09,880 --> 00:42:12,560
Speaker 1: two way communication between two people who were both asleep

749
00:42:12,600 --> 00:42:16,480
Speaker 1: and lucid dreaming. Lucid dreamings, when someone becomes aware that

750
00:42:16,520 --> 00:42:18,640
Speaker 1: they are dreaming, can even control parts of the dream.

751
00:42:18,680 --> 00:42:21,520
Speaker 1: This happens during rem stage of sleep, which is when

752
00:42:21,560 --> 00:42:24,000
Speaker 1: our dreams are the most vivid. The two participants in

753
00:42:24,080 --> 00:42:27,799
Speaker 1: the experiment were both experienced lucid dreamers, meaning they had

754
00:42:27,800 --> 00:42:30,120
Speaker 1: developed the skill to be aware that they were dreaming.

755
00:42:30,560 --> 00:42:34,439
Speaker 1: The experiment took place on September twenty fourth. Daily Mail

756
00:42:34,520 --> 00:42:36,480
Speaker 1: reported see it's being reported by the Daily Mail.

757
00:42:36,360 --> 00:42:37,320
Speaker 3: It's already suspicions.

758
00:42:37,840 --> 00:42:40,960
Speaker 1: Before falling asleep, the participants were hooked up to special

759
00:42:41,000 --> 00:42:44,560
Speaker 1: equipment that tracked their brain activity and sleep patterns in

760
00:42:44,640 --> 00:42:47,600
Speaker 1: real time. This data was sent to a central system

761
00:42:47,640 --> 00:42:50,080
Speaker 1: that monitored their dreams as they unfolded. I don't know

762
00:42:50,120 --> 00:42:52,560
Speaker 1: if you can monitor dreams. That's already the first question.

763
00:42:53,080 --> 00:42:55,640
Speaker 2: The first thing. I'm just like, we're so much closer

764
00:42:55,680 --> 00:42:57,200
Speaker 2: to inception than I thought we were.

765
00:42:57,400 --> 00:43:04,080
Speaker 1: All of this, yeah, exactly, I read, let's go. The

766
00:43:04,239 --> 00:43:07,840
Speaker 1: first participant entered a lucid dream in the system, recognizing

767
00:43:07,960 --> 00:43:12,240
Speaker 1: the brain activity linked to this state, sent a random

768
00:43:12,360 --> 00:43:15,520
Speaker 1: word to the dreamer. The word was from a language

769
00:43:15,600 --> 00:43:17,719
Speaker 1: created specifically for the experiment.

770
00:43:17,920 --> 00:43:20,160
Speaker 3: This is why no way call.

771
00:43:23,560 --> 00:43:29,279
Speaker 1: The language is called remio. The word jollick was transmitted

772
00:43:29,400 --> 00:43:34,120
Speaker 1: through earbuds while earbuds while the participant was still dreaming.

773
00:43:34,680 --> 00:43:37,560
Speaker 1: In this dream, the person heard the word and repeated

774
00:43:37,600 --> 00:43:41,279
Speaker 1: it out loud. Sensors captured this spoken word and sent

775
00:43:41,360 --> 00:43:43,480
Speaker 1: it back to the system. I don't know what censors

776
00:43:43,960 --> 00:43:46,640
Speaker 1: can capture a word spoken in a dream, So this

777
00:43:46,800 --> 00:43:49,799
Speaker 1: is where its sentenced like it falls apart. A few

778
00:43:49,840 --> 00:43:52,560
Speaker 1: minutes later, the second participant also entered a lucid dream.

779
00:43:52,920 --> 00:43:55,960
Speaker 1: The system detected the brain activity indicating this and sent

780
00:43:56,040 --> 00:43:59,439
Speaker 1: the same word jolick to her through earbuds. In her dream,

781
00:43:59,520 --> 00:44:01,839
Speaker 1: she heard the word and repeated it as well. When

782
00:44:01,880 --> 00:44:03,960
Speaker 1: she woke up, she confirmed that the word she heard

783
00:44:04,000 --> 00:44:06,920
Speaker 1: in her dream was jeollic, marking the first second the

784
00:44:07,000 --> 00:44:10,400
Speaker 1: first successful communication between two people in their dreams.

785
00:44:12,920 --> 00:44:15,960
Speaker 3: I see that, I think so. I thought you meant

786
00:44:15,960 --> 00:44:16,799
Speaker 3: they were talking.

787
00:44:16,560 --> 00:44:19,480
Speaker 2: To each other to each other same and I was

788
00:44:19,560 --> 00:44:20,160
Speaker 2: like what I thought.

789
00:44:22,000 --> 00:44:25,239
Speaker 3: But what they're saying is they can here understand and

790
00:44:25,640 --> 00:44:30,160
Speaker 3: respond and see lucid dreaming. That kind of makes sense

791
00:44:30,200 --> 00:44:32,840
Speaker 3: to me. That seems that seems possible.

792
00:44:34,080 --> 00:44:37,960
Speaker 1: Yeah, I don't know, this doesn't because it also it

793
00:44:38,120 --> 00:44:42,320
Speaker 1: almost seems like this is not what the they said happened.

794
00:44:42,680 --> 00:44:46,680
Speaker 1: This is just someone saying a word while someone dreams,

795
00:44:46,719 --> 00:44:48,919
Speaker 1: and then they wake up and they know what word

796
00:44:49,040 --> 00:44:52,160
Speaker 1: was said. They're suggesting that these two people somehow communicated,

797
00:44:52,239 --> 00:44:58,560
Speaker 1: and then then the Mashable staff actually correctly report on this.

798
00:44:58,840 --> 00:44:59,120
Speaker 3: I look.

799
00:44:59,200 --> 00:45:01,680
Speaker 1: The thing is I look up rem space and remspace

800
00:45:01,880 --> 00:45:05,640
Speaker 1: is a real company. It has a you know, a website.

801
00:45:06,440 --> 00:45:10,400
Speaker 1: You know also, I have a website.

802
00:45:11,560 --> 00:45:15,600
Speaker 2: Means it's real. There's no lying allowed on.

803
00:45:15,760 --> 00:45:20,319
Speaker 1: The internet, right exactly. I have Scotty's getting petent dot org.

804
00:45:20,560 --> 00:45:23,600
Speaker 1: Yeah it's doing fine, but that doesn't mean that I've

805
00:45:23,680 --> 00:45:24,239
Speaker 1: updated it.

806
00:45:25,760 --> 00:45:28,359
Speaker 2: Also, I really wish they had chosen a real word,

807
00:45:28,520 --> 00:45:32,600
Speaker 2: because that's giving. Oh they said something in gibberish while

808
00:45:32,640 --> 00:45:34,560
Speaker 2: they were a spape and everyone's like, no, no, that

809
00:45:34,840 --> 00:45:39,200
Speaker 2: was the word, right, a language. It was a language

810
00:45:39,239 --> 00:45:40,399
Speaker 2: you've never heard.

811
00:45:40,880 --> 00:45:44,520
Speaker 3: Really wrote that sounds like somebody snoring a little bit.

812
00:45:45,280 --> 00:45:48,440
Speaker 3: It sounds a little bit. It sounds a little bit

813
00:45:48,520 --> 00:45:52,200
Speaker 3: like a snoring sound. Okay, Because we've gotten stories in

814
00:45:52,280 --> 00:45:55,120
Speaker 3: the past about people that were in comas, both medically

815
00:45:55,239 --> 00:45:59,880
Speaker 3: induced and non medically induced, who were able to communicate

816
00:46:00,560 --> 00:46:03,480
Speaker 3: using brain waves, and that was sort of mind blowing

817
00:46:03,760 --> 00:46:07,080
Speaker 3: to prove they were there was a consciousness in there

818
00:46:07,120 --> 00:46:12,040
Speaker 3: even though they were asleep or in comatose. So I

819
00:46:12,239 --> 00:46:14,160
Speaker 3: guess I could see what they're doing here.

820
00:46:15,200 --> 00:46:17,400
Speaker 1: They did do that, did They did have that one

821
00:46:17,480 --> 00:46:20,800
Speaker 1: story that we did do, which was a person listening

822
00:46:21,760 --> 00:46:26,440
Speaker 1: to Pink Floyd while they slept and their brain waves

823
00:46:26,640 --> 00:46:29,640
Speaker 1: actually showed the music on there and then they played

824
00:46:30,320 --> 00:46:33,400
Speaker 1: the music. They played the music that was in the

825
00:46:33,480 --> 00:46:36,760
Speaker 1: brain waves and you could act and it was so crazy.

826
00:46:36,880 --> 00:46:40,960
Speaker 1: It sounded like a very faint, underwater version of Pink Floyd.

827
00:46:41,400 --> 00:46:43,160
Speaker 1: It was pretty crazy. So the fact that they can

828
00:46:43,200 --> 00:46:45,520
Speaker 1: do that, maybe they're using that tex I don't know.

829
00:46:46,200 --> 00:46:48,680
Speaker 3: Yeah, I guess I'm too dumb to see what the

830
00:46:48,840 --> 00:46:50,520
Speaker 3: next phase of this is.

831
00:46:51,080 --> 00:46:56,719
Speaker 1: Yeah, yeah, and why we would want it exactly, I

832
00:46:56,840 --> 00:46:59,239
Speaker 1: know exactly what it is. Okay, it's advertising.

833
00:46:59,280 --> 00:47:00,279
Speaker 3: While we said no.

834
00:47:03,360 --> 00:47:08,680
Speaker 5: Immediately, they're just trying to ruin everything. It's honey, wake up,

835
00:47:08,840 --> 00:47:16,120
Speaker 5: I want Arby's right now. Damn, that's very interesting.

836
00:47:16,160 --> 00:47:19,000
Speaker 2: You just wake up singing the Chili's baby back ribs.

837
00:47:19,080 --> 00:47:21,440
Speaker 3: So see that. I'm okay with that.

838
00:47:22,680 --> 00:47:24,160
Speaker 2: It is really catchy.

839
00:47:24,920 --> 00:47:28,520
Speaker 3: Yeah, and it's if anybody's ever dated, or or has

840
00:47:28,560 --> 00:47:32,319
Speaker 3: ever slept next to somebody who has night terrors, who

841
00:47:32,960 --> 00:47:36,800
Speaker 3: who's a sleepwalker, who is a sleep eater, who's like

842
00:47:37,040 --> 00:47:40,600
Speaker 3: I've had, or just a talker. Like the conversations I've

843
00:47:40,640 --> 00:47:45,239
Speaker 3: had with people that are sleep talkers are fascinating. I've

844
00:47:45,280 --> 00:47:47,120
Speaker 3: definitely talked about a couple on the pods. But yeah,

845
00:47:47,120 --> 00:47:49,120
Speaker 3: I dated someone that would eat entire meals while they

846
00:47:49,160 --> 00:47:51,840
Speaker 3: were asleep and not know it in the morning, and

847
00:47:51,920 --> 00:47:53,320
Speaker 3: then I'd be like, you want to go get breakfast

848
00:47:53,400 --> 00:47:55,520
Speaker 3: or lunch and they'd be not hungry. And see, I

849
00:47:55,600 --> 00:47:58,839
Speaker 3: didn't know at first because I was asleep that they

850
00:47:58,880 --> 00:48:01,960
Speaker 3: had gone and eat an entire meals And they didn't

851
00:48:02,000 --> 00:48:03,960
Speaker 3: really know either because they would just come back to

852
00:48:04,000 --> 00:48:05,879
Speaker 3: ben go to sleep, and the wake up feeling full.

853
00:48:06,000 --> 00:48:08,560
Speaker 1: And then you have you have very angry roommates at

854
00:48:08,640 --> 00:48:12,640
Speaker 1: you and you don't understand why they're so angry because

855
00:48:12,640 --> 00:48:14,000
Speaker 1: they're not good at communicating.

856
00:48:14,200 --> 00:48:17,400
Speaker 3: That's right, and that's very aggressive.

857
00:48:17,440 --> 00:48:19,799
Speaker 2: Post it notes can look at you so far.

858
00:48:20,160 --> 00:48:22,680
Speaker 3: That is real. Kurt knows that that is from a

859
00:48:22,760 --> 00:48:28,400
Speaker 3: real experience, and nobody's making fun of this person at all.

860
00:48:28,440 --> 00:48:31,319
Speaker 3: I'm not making fun of this XXX from years ago.

861
00:48:31,960 --> 00:48:37,600
Speaker 3: But yeah, she would eat a dozen eggs at one

862
00:48:37,680 --> 00:48:42,960
Speaker 3: am without knowing, or one time an entire barrel inter sleep,

863
00:48:43,000 --> 00:48:47,560
Speaker 3: completely unconscious. A loaf of bread, just a whole loaf

864
00:48:47,560 --> 00:48:50,760
Speaker 3: of bread bread. We were asleep, and then my roommate

865
00:48:50,840 --> 00:48:53,600
Speaker 3: like a week later would be like, hey, man, can

866
00:48:53,640 --> 00:48:56,040
Speaker 3: you just pay me for that bread? And I was like, oh,

867
00:48:56,080 --> 00:48:58,680
Speaker 3: I didn't eat any bread, and he's like, well, there's

868
00:48:58,680 --> 00:49:01,839
Speaker 3: a whole loaf missing. Uh. Oh, the eggs is even

869
00:49:01,880 --> 00:49:03,800
Speaker 3: better example because the person I was hating was a

870
00:49:03,880 --> 00:49:06,759
Speaker 3: vegan and so she didn't eat eggs or meat at all,

871
00:49:07,400 --> 00:49:10,920
Speaker 3: and that was what was going miss cover. Yeah, and

872
00:49:11,040 --> 00:49:14,080
Speaker 3: so I'm like, I'm like, am I drinking so hard

873
00:49:14,160 --> 00:49:16,879
Speaker 3: that I'm eating twelve egg omelets? Like I couldn't figure

874
00:49:16,920 --> 00:49:22,080
Speaker 3: out what's going on? Whole meals, I mean whole orders

875
00:49:22,120 --> 00:49:25,400
Speaker 3: of Chinese food and stuff. And so what happened is, uh,

876
00:49:26,440 --> 00:49:28,560
Speaker 3: it was an honest mystery that we were like, is

877
00:49:28,640 --> 00:49:30,719
Speaker 3: somebody coming up the fire escape and eating food?

878
00:49:30,760 --> 00:49:34,160
Speaker 2: Like I'm eating food and then escaping into the night right?

879
00:49:34,239 --> 00:49:37,240
Speaker 3: And then I read all the no sleeps and creepy

880
00:49:37,320 --> 00:49:39,840
Speaker 3: pastas and stuff. So I'm like, is somebody frogging in

881
00:49:39,880 --> 00:49:41,959
Speaker 3: my house? Is somebody living in the walls or behind

882
00:49:42,000 --> 00:49:44,120
Speaker 3: the cabinets, are in the ceiling? Like it was a

883
00:49:44,160 --> 00:49:44,840
Speaker 3: true mystery.

884
00:49:45,360 --> 00:49:47,720
Speaker 2: And then slender Man is eating your eggs?

885
00:49:48,160 --> 00:49:51,480
Speaker 1: Yeah, honestly staying so slender.

886
00:49:54,520 --> 00:49:57,440
Speaker 3: Wait, Kurt, you should be slender Man extual for Halloween,

887
00:49:57,520 --> 00:50:03,840
Speaker 3: but just just a median version of slender Man. And

888
00:50:04,360 --> 00:50:06,400
Speaker 3: so one night in the middle of the night, I

889
00:50:07,040 --> 00:50:08,719
Speaker 3: was like, I gotta figure this out. And so I

890
00:50:08,840 --> 00:50:13,360
Speaker 3: was sleeping more lightly, and then I heard like pots

891
00:50:13,360 --> 00:50:16,080
Speaker 3: and pans and stuff in the kitchen. So I woke up.

892
00:50:16,280 --> 00:50:18,800
Speaker 3: My girlfriend at the time was not sleeping next to me,

893
00:50:19,400 --> 00:50:22,840
Speaker 3: and I like walked carefully into the kitchen and she

894
00:50:23,160 --> 00:50:27,040
Speaker 3: was there in what she had fallen asleep in, which

895
00:50:27,120 --> 00:50:31,879
Speaker 3: was like just underwear nothing else and eating an entire meal.

896
00:50:32,280 --> 00:50:35,880
Speaker 3: And I was like hey, and she didn't respond. I

897
00:50:35,960 --> 00:50:37,839
Speaker 3: was like, hey, are you okay? And she like looked

898
00:50:37,880 --> 00:50:41,279
Speaker 3: up at me, totally confused, like absolutely sleepwalking, like not

899
00:50:41,480 --> 00:50:44,680
Speaker 3: didn't remize me, walked directly by me, walked back in

900
00:50:44,719 --> 00:50:47,719
Speaker 3: the bedroom, and went to sleep. But it took it

901
00:50:47,840 --> 00:50:49,960
Speaker 3: took like three or four months to figure this out.

902
00:50:50,000 --> 00:50:51,600
Speaker 3: I know that seems like a long time, but I

903
00:50:51,840 --> 00:50:54,279
Speaker 3: just did not think it was coming from inside the house.

904
00:50:56,080 --> 00:50:58,360
Speaker 3: So I wrote my roommate a check for four hundred

905
00:50:58,440 --> 00:51:04,040
Speaker 3: dollars and apologized profusely, and yeah again, like this is

906
00:51:04,120 --> 00:51:06,360
Speaker 3: a real affliction that she had, But it was like

907
00:51:06,440 --> 00:51:10,120
Speaker 3: a mystery. It was a mystery. It was just nothing

908
00:51:10,200 --> 00:51:14,200
Speaker 3: but empathy and support for people going through those. But

909
00:51:14,719 --> 00:51:18,960
Speaker 3: all that being said is I witnessed somebody preparing meals unconscious,

910
00:51:19,160 --> 00:51:23,719
Speaker 3: So why couldn't they talk in their un conscious if

911
00:51:23,760 --> 00:51:24,560
Speaker 3: they can function.

912
00:51:24,480 --> 00:51:28,600
Speaker 2: That's so fair, that's so fair. Crazy, right, did she

913
00:51:28,760 --> 00:51:31,759
Speaker 2: ever dream about eating the meals or it was just.

914
00:51:31,880 --> 00:51:35,879
Speaker 3: Like nothing she did, And so we ended up figuring out.

915
00:51:36,360 --> 00:51:40,759
Speaker 3: She ended up talking to I think a psychiatrist, but

916
00:51:41,040 --> 00:51:43,120
Speaker 3: she ended up like talking through it, and they were like, yeah,

917
00:51:43,200 --> 00:51:46,560
Speaker 3: this can happen. People have this thing, and so that

918
00:51:46,719 --> 00:51:48,480
Speaker 3: I know this is crazy. But the first thing they

919
00:51:48,560 --> 00:51:51,719
Speaker 3: told us was to kind of hide the nonperishables in

920
00:51:51,800 --> 00:51:55,920
Speaker 3: the house. So box of cereal you would take it

921
00:51:56,000 --> 00:51:59,319
Speaker 3: from the cereal cupboard and put it in the living

922
00:51:59,400 --> 00:52:02,640
Speaker 3: room where I know, like on a bookshelf, so without

923
00:52:02,680 --> 00:52:04,640
Speaker 3: telling her. So it kind of like they go in,

924
00:52:04,719 --> 00:52:07,960
Speaker 3: they look around, they don't find what they're sleep looking for,

925
00:52:08,200 --> 00:52:11,200
Speaker 3: and then they just go back to bed. And then

926
00:52:11,239 --> 00:52:12,960
Speaker 3: eventually she worked her way out of it. But it

927
00:52:13,040 --> 00:52:15,040
Speaker 3: was so weird to wake up with somebody like do

928
00:52:15,080 --> 00:52:16,880
Speaker 3: you want to go to that cute little cafe and

929
00:52:16,920 --> 00:52:21,640
Speaker 3: get a coffee and breakfast? Like nope, in the least, sir,

930
00:52:23,760 --> 00:52:24,560
Speaker 3: very interesting.

931
00:52:24,640 --> 00:52:26,799
Speaker 2: Oh my goodness, that's a while.

932
00:52:26,719 --> 00:52:29,200
Speaker 3: Bless her. I have a question for you, Alexis, before

933
00:52:29,239 --> 00:52:33,239
Speaker 3: we get out of here. So let's talk bananas a

934
00:52:33,320 --> 00:52:35,640
Speaker 3: great foraging food, right, I mean that must be one

935
00:52:35,680 --> 00:52:37,440
Speaker 3: of the great things you can find and eat in

936
00:52:37,480 --> 00:52:41,160
Speaker 3: this world. So any in America.

937
00:52:41,880 --> 00:52:45,839
Speaker 2: I have some good news and I have some bad news.

938
00:52:46,000 --> 00:52:46,239
Speaker 3: Great.

939
00:52:46,400 --> 00:52:48,800
Speaker 2: The good news is for all of our friends in

940
00:52:49,040 --> 00:52:55,120
Speaker 2: southern California and in southern Florida, people love growing bananas

941
00:52:55,200 --> 00:53:00,760
Speaker 2: as ornamentals. In those areas. You have likely walked past

942
00:53:00,960 --> 00:53:04,880
Speaker 2: a banana flower in bloom and maybe not even noticed it.

943
00:53:05,840 --> 00:53:09,120
Speaker 2: So make friends with your neighbors. A lot of times

944
00:53:09,160 --> 00:53:13,000
Speaker 2: they're not even like the specific cultivar that we have

945
00:53:13,200 --> 00:53:15,600
Speaker 2: in our grocery store, so you might even get to

946
00:53:15,680 --> 00:53:20,719
Speaker 2: try a new banana which is ooh fun and shiny.

947
00:53:21,440 --> 00:53:24,440
Speaker 2: The bad news is I'm allergic to bananas, so I

948
00:53:24,560 --> 00:53:29,280
Speaker 2: can't speak on banana forgin. Not allergic to the podcast otherwise,

949
00:53:29,480 --> 00:53:32,080
Speaker 2: I mean, I have my EpiPen beside me just in case.

950
00:53:32,239 --> 00:53:34,680
Speaker 2: It would have been really rough to figure that out

951
00:53:34,760 --> 00:53:38,640
Speaker 2: in real time. I'm glad no anafleaxis has happened during

952
00:53:38,760 --> 00:53:41,520
Speaker 2: the course of the recording. I know, and I loved

953
00:53:41,600 --> 00:53:45,440
Speaker 2: them as a little kid, and then one day, as

954
00:53:45,640 --> 00:53:48,600
Speaker 2: like an eleven year old, I ate one with lunch,

955
00:53:49,040 --> 00:53:54,600
Speaker 2: and bad things happened, and I've been afraid to try

956
00:53:54,680 --> 00:53:57,680
Speaker 2: because I know. I know sometimes people grow out of allergies,

957
00:53:58,560 --> 00:54:01,799
Speaker 2: but epipenz are really expended. Until that changes, I feel

958
00:54:01,840 --> 00:54:02,799
Speaker 2: like I'm not going to test.

959
00:54:02,880 --> 00:54:05,879
Speaker 3: The water will be your bananas. If that's okay, well

960
00:54:06,160 --> 00:54:07,600
Speaker 3: your sbstitute bananas.

961
00:54:07,680 --> 00:54:12,880
Speaker 2: Moving forward, Honestly, my life has gotten better and brighter

962
00:54:13,000 --> 00:54:13,200
Speaker 2: for this.

963
00:54:13,719 --> 00:54:16,960
Speaker 3: Yeah, we better end it right now.

964
00:54:17,480 --> 00:54:17,680
Speaker 2: Yeah.

965
00:54:18,840 --> 00:54:22,160
Speaker 1: Tell everybody. Tell everybody where they can find you online,

966
00:54:22,280 --> 00:54:24,280
Speaker 1: tell them everything about plug plug.

967
00:54:24,160 --> 00:54:25,680
Speaker 3: Plug plug plug plug plug plug.

968
00:54:26,120 --> 00:54:30,080
Speaker 2: If you are on Instagram or Facebook or that one

969
00:54:30,200 --> 00:54:33,160
Speaker 2: app that used to be called Twitter, or any of

970
00:54:33,320 --> 00:54:38,680
Speaker 2: the Twitter copycats, I am black Forager, no spaces, and

971
00:54:38,840 --> 00:54:42,680
Speaker 2: that's Forger, not Forger. I wish I knew how to

972
00:54:42,760 --> 00:54:47,759
Speaker 2: smell alas I do not, and that confuses a lot

973
00:54:47,840 --> 00:54:50,960
Speaker 2: of people when I tell them my handle. If you

974
00:54:51,120 --> 00:54:55,360
Speaker 2: are on the Tiki Talkies, I am Alexis and Nicole,

975
00:54:55,520 --> 00:54:57,759
Speaker 2: and that is Nicole with a K, not a C.

976
00:54:58,320 --> 00:54:59,040
Speaker 2: Thank you, mom.

977
00:55:00,120 --> 00:55:01,799
Speaker 3: Oh, come on back when your book's coming out.

978
00:55:01,800 --> 00:55:04,719
Speaker 2: We'd love to have you, please, I would love to

979
00:55:04,920 --> 00:55:07,239
Speaker 2: I'll have to send you, guys some acorn cookies or

980
00:55:07,280 --> 00:55:08,719
Speaker 2: some other hoodies from the book.

981
00:55:08,920 --> 00:55:10,040
Speaker 1: Oh, that would be exciting.

982
00:55:10,400 --> 00:55:12,480
Speaker 2: Oh, you guys have some of the best acorns in

983
00:55:12,560 --> 00:55:13,440
Speaker 2: southern California.

984
00:55:13,520 --> 00:55:20,000
Speaker 3: H I know, tell me about it. That's good to know.

985
00:55:21,640 --> 00:55:42,400
Speaker 3: And Bananas. There you go. Bananas is an exactly right

986
00:55:42,520 --> 00:55:43,280
Speaker 3: media production.

987
00:55:43,480 --> 00:55:45,640
Speaker 1: Our producer and engineer is Katie Levine.

988
00:55:46,120 --> 00:55:49,320
Speaker 3: The catchy Bananas theme song was composed and performed by Kahan.

989
00:55:49,560 --> 00:55:52,960
Speaker 1: Artwork for Bananas was designed by Travis Millard, and.

990
00:55:53,040 --> 00:55:57,120
Speaker 3: Our benevolent overlords are the great Karen Kilgareff and Georgia Hartstart.

991
00:55:56,760 --> 00:55:59,920
Speaker 1: And Lisa Maggott is our full human, not a robot intern.

992
00:56:00,400 --> 00:56:01,080
Speaker 3: My never, no,