1
00:00:12,920 --> 00:00:17,919
Speaker 1: I guess I grew up on an row. Hey, everybuddy, Welcome,

2
00:00:18,440 --> 00:00:21,760
Speaker 1: Episode one, twenty seven of The Hunting Collective. I am

3
00:00:21,800 --> 00:00:27,800
Speaker 1: Ben O'Brien, and I'm joined by Phil t engineer. Say hey, Phil, Hey, Ben,

4
00:00:28,000 --> 00:00:30,880
Speaker 1: how are you? We're recording this one a memorial day,

5
00:00:30,920 --> 00:00:33,440
Speaker 1: so I'm really good. We're gonna make this short and

6
00:00:33,479 --> 00:00:35,159
Speaker 1: sweet so we can get back to our families. But

7
00:00:35,400 --> 00:00:38,840
Speaker 1: I was just explaining to you that Joe Jamie Ferinado

8
00:00:39,520 --> 00:00:42,240
Speaker 1: just shot a giant black bear, and so we're down

9
00:00:42,240 --> 00:00:43,800
Speaker 1: in my garage. I had to wash my hands to

10
00:00:43,800 --> 00:00:47,479
Speaker 1: come up here and record. We're down in my garage, Uh,

11
00:00:47,560 --> 00:00:49,920
Speaker 1: skinning out his black bear because it died near the

12
00:00:50,000 --> 00:00:52,040
Speaker 1: road so we could drag it into my garage. So

13
00:00:52,080 --> 00:00:55,160
Speaker 1: I have small children running around on bikes, a lot

14
00:00:55,160 --> 00:00:58,560
Speaker 1: of Americana, and then uh, in the middle of it

15
00:00:58,640 --> 00:01:01,480
Speaker 1: is the blood and guts and go or of processing

16
00:01:01,480 --> 00:01:03,880
Speaker 1: a black bear film. Yeah. Have you invited any of

17
00:01:03,880 --> 00:01:07,160
Speaker 1: the neighborhood children to come see all of them? Yes?

18
00:01:09,760 --> 00:01:12,880
Speaker 1: Let's see how many complaints here your h o A gets. Yeah.

19
00:01:13,120 --> 00:01:16,160
Speaker 1: I try to like stake the claim within suburbia that

20
00:01:16,360 --> 00:01:19,560
Speaker 1: it's gonna happen like there's gonna be some some gore

21
00:01:19,720 --> 00:01:22,280
Speaker 1: around my place. You're just gonna have to deal deal

22
00:01:22,319 --> 00:01:26,320
Speaker 1: with it. Um, you know, and giving given our last podcast,

23
00:01:26,440 --> 00:01:28,440
Speaker 1: I feel like, you know, I'm more prepared now than

24
00:01:28,440 --> 00:01:34,240
Speaker 1: ever to deal with life, Life's challenge. UM, so we're

25
00:01:34,319 --> 00:01:38,400
Speaker 1: kind of we're kind of flying high. Phil, after last week, UM,

26
00:01:38,560 --> 00:01:40,280
Speaker 1: I know you were just kind of a bystander to

27
00:01:40,319 --> 00:01:43,480
Speaker 1: the story, but UM, we're all. I I spent the

28
00:01:43,600 --> 00:01:48,440
Speaker 1: last seven days dealing with kind of the aftermath of

29
00:01:48,440 --> 00:01:52,560
Speaker 1: our podcast last week with Brett Bond talking about his

30
00:01:52,640 --> 00:01:56,440
Speaker 1: father Glenn and their story. As amazing as it is,

31
00:01:57,160 --> 00:02:00,080
Speaker 1: there is so many details that a story that we

32
00:02:00,240 --> 00:02:02,400
Speaker 1: left out. We got a few people complaining that we

33
00:02:02,520 --> 00:02:05,240
Speaker 1: talked too long before the Baritech story actually got going,

34
00:02:05,760 --> 00:02:08,040
Speaker 1: but I will admit to saying we probably left out

35
00:02:08,400 --> 00:02:12,160
Speaker 1: another hour's worth of conversation about the details surrounding that attack.

36
00:02:12,320 --> 00:02:17,520
Speaker 1: So I've got a pile of emails about asking questions, um,

37
00:02:17,680 --> 00:02:21,160
Speaker 1: praising Brett Bond as a hero, saying Glenn Glenn Bond

38
00:02:21,200 --> 00:02:24,200
Speaker 1: is the toughest son of a bitch alive, which I agree.

39
00:02:24,240 --> 00:02:28,560
Speaker 1: Do you agree with that? Phil? I think so? I mean,

40
00:02:28,600 --> 00:02:30,959
Speaker 1: I just I the fact that his his body was

41
00:02:31,000 --> 00:02:35,359
Speaker 1: just even functioning after that is miraculous. Yeah, I got

42
00:02:35,360 --> 00:02:38,040
Speaker 1: a text from Lorraine Phillips, his wife, saying that he

43
00:02:38,040 --> 00:02:41,680
Speaker 1: he listened to the podcast and thought it was okay,

44
00:02:42,919 --> 00:02:46,799
Speaker 1: which I felt, which I felt. I felt very vindicated,

45
00:02:47,600 --> 00:02:50,240
Speaker 1: like I really did. I really very much wanted his

46
00:02:50,360 --> 00:02:55,320
Speaker 1: approval and we got it in some strange way. So, well,

47
00:02:55,440 --> 00:02:58,160
Speaker 1: what we're gonna return to to that story on the

48
00:02:58,160 --> 00:03:02,040
Speaker 1: Mediator dot com in the coming days. If you check

49
00:03:02,280 --> 00:03:05,239
Speaker 1: the website, i'd say tomorrow, which is Wednesday. We're still

50
00:03:05,240 --> 00:03:07,079
Speaker 1: working out a lot of details. There'll be a big

51
00:03:07,120 --> 00:03:09,520
Speaker 1: story on on that. So if you're still wondering anything

52
00:03:09,520 --> 00:03:12,560
Speaker 1: about Glenn Bond, Brett Bond, the Rain Phillips and they're

53
00:03:12,600 --> 00:03:17,799
Speaker 1: wild and crazy story from bear attack to medical um incarceration,

54
00:03:18,040 --> 00:03:20,480
Speaker 1: I guess we'll call it. There's some arguing about what

55
00:03:20,480 --> 00:03:23,480
Speaker 1: what to call what happened to Brett Bond, but there's

56
00:03:23,520 --> 00:03:26,679
Speaker 1: a lot of a lot of drama, a lot to uncover.

57
00:03:27,160 --> 00:03:29,680
Speaker 1: So we got a big piece coming around the Mediator

58
00:03:29,720 --> 00:03:31,079
Speaker 1: dot com, So you can check that out in the

59
00:03:31,160 --> 00:03:33,520
Speaker 1: next couple of days. So I'll be looking for that,

60
00:03:34,600 --> 00:03:37,120
Speaker 1: Phil I gotta tell you, I got two good emails.

61
00:03:37,520 --> 00:03:39,000
Speaker 1: But before we get to that, I kind of want

62
00:03:39,000 --> 00:03:41,880
Speaker 1: to explain a little bit of what we're doing today.

63
00:03:41,960 --> 00:03:45,640
Speaker 1: You do you know you're aware of what we're doing today, Phil, right,

64
00:03:46,440 --> 00:03:50,200
Speaker 1: not at all? Why don't you, uh you tell me

65
00:03:50,280 --> 00:03:54,400
Speaker 1: about attention? Uh? I thought I thought you'd have a

66
00:03:54,480 --> 00:03:56,560
Speaker 1: lot of insight on what I'm trying to pull off here,

67
00:03:58,800 --> 00:04:02,040
Speaker 1: whether it'll be success or not. Um So here's what

68
00:04:02,080 --> 00:04:04,720
Speaker 1: we're trying to do. And I say I'm trying because

69
00:04:04,760 --> 00:04:09,480
Speaker 1: I've I've I find this particular conversation a little difficult

70
00:04:10,520 --> 00:04:13,200
Speaker 1: only because I'm out of my depth and many parts

71
00:04:13,360 --> 00:04:16,359
Speaker 1: of it. But let's just say this. We we talked

72
00:04:16,360 --> 00:04:21,840
Speaker 1: to a gentleman named Nick Holla from Impossible Meats about Okay, Ben,

73
00:04:21,839 --> 00:04:23,839
Speaker 1: I'm sorry, I thought I thought you. I thought you

74
00:04:23,839 --> 00:04:27,280
Speaker 1: had some special surprise plan for this opening segment. We're

75
00:04:27,320 --> 00:04:30,280
Speaker 1: talking about the subject matter of the episode. Oh yeah,

76
00:04:30,320 --> 00:04:34,440
Speaker 1: I know about that. About that, I thought I thought

77
00:04:34,480 --> 00:04:36,599
Speaker 1: you'd just given up on me, and I wanted to

78
00:04:36,600 --> 00:04:39,280
Speaker 1: move past it because it did hurt me a little

79
00:04:39,279 --> 00:04:41,919
Speaker 1: bit that you had given up. I'm not that detached.

80
00:04:42,000 --> 00:04:43,960
Speaker 1: I I know who the guests are today, Ben, I

81
00:04:44,000 --> 00:04:47,720
Speaker 1: do okay, well, how about you tell everybody who the guests.

82
00:04:47,760 --> 00:04:51,000
Speaker 1: Let's test your allegiance, Philip, tell us who the guests

83
00:04:51,000 --> 00:04:53,920
Speaker 1: are today. There's two of them. Yeah, the guests are

84
00:04:54,400 --> 00:04:59,000
Speaker 1: Nick Holla from Impossible Meats and is it Robbie Sam

85
00:04:59,240 --> 00:05:07,680
Speaker 1: Sansom yea from Force of Nature ironically, so they both

86
00:05:07,680 --> 00:05:10,040
Speaker 1: have meat in the title. One of them doesn't use

87
00:05:10,080 --> 00:05:14,200
Speaker 1: animal flesh, the other does. Um. But what we're what

88
00:05:14,360 --> 00:05:16,479
Speaker 1: Robbie and Nick are here to do today is provide

89
00:05:16,480 --> 00:05:18,920
Speaker 1: a little bit of perspective on something we've chatted about

90
00:05:19,160 --> 00:05:21,400
Speaker 1: and had a little fun with, got real serious about

91
00:05:22,279 --> 00:05:26,920
Speaker 1: in the past, and that is essentially our food system,

92
00:05:26,960 --> 00:05:30,880
Speaker 1: what it is today, it's impact on our world, our environment,

93
00:05:30,920 --> 00:05:33,359
Speaker 1: and how we can do it better. Um. And I

94
00:05:33,400 --> 00:05:36,200
Speaker 1: know we're a hunting podcast and that's not necessarily right

95
00:05:36,200 --> 00:05:39,320
Speaker 1: in line with going out in the woods, finding an animal,

96
00:05:39,440 --> 00:05:43,120
Speaker 1: killing it, bring it home like Joe Joe, Jamie Ferrnado

97
00:05:43,200 --> 00:05:46,479
Speaker 1: is down in my garage doing right now. But I'll

98
00:05:46,520 --> 00:05:51,360
Speaker 1: tell you that we have to address this stuff. In

99
00:05:51,400 --> 00:05:54,440
Speaker 1: my opinion, No, it's it's way more prevalent now in

100
00:05:54,520 --> 00:05:58,520
Speaker 1: the times of COVID. But how our food system works

101
00:05:58,560 --> 00:06:00,880
Speaker 1: in the future affects a lot of things that affects

102
00:06:00,960 --> 00:06:04,960
Speaker 1: land use, It affects how healthy we are, it affect

103
00:06:05,080 --> 00:06:08,440
Speaker 1: it affects trust me, if meat goes away, public opinion

104
00:06:08,480 --> 00:06:12,400
Speaker 1: for hunting, I'm sure will Wayne. So there's a ton

105
00:06:12,440 --> 00:06:15,200
Speaker 1: of things that are happening here that we need to

106
00:06:15,279 --> 00:06:17,120
Speaker 1: keep an eye on. And so what we're doing today

107
00:06:17,240 --> 00:06:21,480
Speaker 1: is is talking to Nick and talking then to Robbie

108
00:06:21,720 --> 00:06:26,120
Speaker 1: and trying to suss out what their solutions are for

109
00:06:27,040 --> 00:06:32,240
Speaker 1: continuing our food systems. Now we've talked about plant based meat,

110
00:06:32,360 --> 00:06:37,520
Speaker 1: lab based meat, fac similes for meat. What Nick and

111
00:06:37,640 --> 00:06:41,479
Speaker 1: Impossible was going to describe is their quest to take

112
00:06:41,560 --> 00:06:47,000
Speaker 1: animal flesh, animal products out of our food system. So

113
00:06:47,080 --> 00:06:50,719
Speaker 1: that's their stated goal. Their CEO, Pat Brown has stated

114
00:06:50,760 --> 00:06:53,839
Speaker 1: that publicly says that on their website. So that's a

115
00:06:53,960 --> 00:06:56,680
Speaker 1: very radical in my view way to look at it.

116
00:06:57,480 --> 00:07:01,880
Speaker 1: And then Robbie Sampson will then take He's going to

117
00:07:02,000 --> 00:07:04,159
Speaker 1: take us down a path looking at as he has

118
00:07:04,160 --> 00:07:08,280
Speaker 1: in the past on this podcast, regenitive agriculture, getting back

119
00:07:08,320 --> 00:07:13,520
Speaker 1: to the land and using animals to help regenerate our

120
00:07:13,560 --> 00:07:16,240
Speaker 1: soil and regenerate to earth and bring us back to

121
00:07:16,280 --> 00:07:18,840
Speaker 1: the biodiversity that we we all know that we need

122
00:07:18,960 --> 00:07:21,280
Speaker 1: so again, Phil, I will admit to being out of

123
00:07:21,280 --> 00:07:25,520
Speaker 1: my depth here, can you tell only a little bit?

124
00:07:25,560 --> 00:07:27,440
Speaker 1: But I mean the thing is is that I think

125
00:07:27,440 --> 00:07:30,560
Speaker 1: it's one thing that both of these these men and

126
00:07:30,640 --> 00:07:33,280
Speaker 1: pretty much everyone who knows anything about it can agree on,

127
00:07:33,400 --> 00:07:38,920
Speaker 1: is that the way meat is generally harvested and you know,

128
00:07:39,000 --> 00:07:43,760
Speaker 1: sold and produced in this country is not sustainable. Um.

129
00:07:43,880 --> 00:07:47,160
Speaker 1: And like there's people have different ways of trying to,

130
00:07:47,880 --> 00:07:50,240
Speaker 1: you know, fix that. And so I think this is

131
00:07:50,240 --> 00:07:52,960
Speaker 1: a great episode because it's got two different two different

132
00:07:53,000 --> 00:07:57,160
Speaker 1: perspectives and the pros and cons of of each. Yeah.

133
00:07:57,160 --> 00:07:59,760
Speaker 1: And if you're you know, we're we call ourselves conservationus

134
00:07:59,800 --> 00:08:02,560
Speaker 1: here meat eater um. I I strive to be that,

135
00:08:03,200 --> 00:08:05,400
Speaker 1: I really do. I don't know if I always live

136
00:08:05,480 --> 00:08:09,400
Speaker 1: up to the likes of Auto Leopold or not. But

137
00:08:09,600 --> 00:08:13,200
Speaker 1: you know, he was a man of the natural world,

138
00:08:13,560 --> 00:08:17,400
Speaker 1: a man of knowledge about the natural world. And something

139
00:08:17,440 --> 00:08:21,000
Speaker 1: that Robbie suggested to me the other day, and it's

140
00:08:21,000 --> 00:08:23,720
Speaker 1: a great one if you noteworthy, if you would go

141
00:08:24,640 --> 00:08:28,880
Speaker 1: and find his piece titled Odyssey, It was written Ino,

142
00:08:29,480 --> 00:08:32,280
Speaker 1: and I think it pretty well demonstrates how long, um,

143
00:08:32,320 --> 00:08:36,880
Speaker 1: we've known these issues of the ecosystem versus agriculture, and

144
00:08:36,880 --> 00:08:39,600
Speaker 1: that's kind of what this Some of this boils down

145
00:08:39,679 --> 00:08:42,960
Speaker 1: to UM and this is suggested by Rob. You and

146
00:08:43,000 --> 00:08:45,600
Speaker 1: I really agree that it's a good assignment for everybody

147
00:08:45,600 --> 00:08:48,240
Speaker 1: to read that, and if you google it, you can

148
00:08:48,240 --> 00:08:52,120
Speaker 1: find it um and it may help anyone out there's

149
00:08:52,200 --> 00:08:54,320
Speaker 1: interested and hopefully you're interested in this topic to better

150
00:08:54,360 --> 00:08:57,280
Speaker 1: understand how nature works and how a system that functions

151
00:08:57,280 --> 00:08:59,920
Speaker 1: that harm me with nature can be a better solution.

152
00:09:00,440 --> 00:09:03,840
Speaker 1: And as we talk about in the show, are my

153
00:09:03,960 --> 00:09:08,520
Speaker 1: supply chain is the natural world. We have agent federal

154
00:09:08,559 --> 00:09:11,960
Speaker 1: and state agencies to help manage that give me access

155
00:09:12,000 --> 00:09:16,760
Speaker 1: to my food supply and the land and ecosystem that's

156
00:09:16,800 --> 00:09:20,240
Speaker 1: required to keep those populations healthy is very important to me.

157
00:09:20,320 --> 00:09:23,000
Speaker 1: So all that ties in. So we won't we won't

158
00:09:23,000 --> 00:09:25,040
Speaker 1: go up much further into that. We're gonna discuss it.

159
00:09:25,080 --> 00:09:26,680
Speaker 1: But the way I wanted to set this up fill

160
00:09:27,080 --> 00:09:31,520
Speaker 1: where we had Nick on and Robbie on. They have uh,

161
00:09:31,600 --> 00:09:34,400
Speaker 1: I wouldn't say, I would say opposing viewpoints. In lots

162
00:09:34,440 --> 00:09:36,640
Speaker 1: of ways, they both kind of have a similar mission,

163
00:09:36,960 --> 00:09:39,680
Speaker 1: they have different ways of getting there. So it's really

164
00:09:39,720 --> 00:09:42,560
Speaker 1: an interesting dichotomy. So you're gonna hear from Nick first,

165
00:09:42,640 --> 00:09:45,880
Speaker 1: and then I'm gonna hear from Robbie second, and then

166
00:09:45,920 --> 00:09:47,560
Speaker 1: we'll close it out and kind of wrap up a

167
00:09:47,559 --> 00:09:50,360
Speaker 1: little bit of how we think about it. I didn't

168
00:09:50,400 --> 00:09:53,560
Speaker 1: want to really get him on the same same call

169
00:09:53,640 --> 00:09:55,600
Speaker 1: because it would have just turned into a debate point

170
00:09:55,600 --> 00:09:58,040
Speaker 1: by point. I think I wanted to hear each one

171
00:09:58,080 --> 00:10:01,400
Speaker 1: of them out, take from um, each one of them

172
00:10:01,400 --> 00:10:03,920
Speaker 1: the perspective we could, and then compare contrast. And you

173
00:10:03,920 --> 00:10:06,520
Speaker 1: guys can all make up your minds whether you want

174
00:10:06,520 --> 00:10:09,040
Speaker 1: to eat plant based meat or you want to have

175
00:10:09,080 --> 00:10:12,080
Speaker 1: a nice bison burger. Um you you, you guys can

176
00:10:12,120 --> 00:10:16,000
Speaker 1: probably understand where I fall. Um, Phil, you're gonna You're

177
00:10:16,000 --> 00:10:22,280
Speaker 1: gonna side with with bison or the plant facsimile? Yeah, yeah,

178
00:10:22,320 --> 00:10:24,520
Speaker 1: I might. I might just dip my toes in a

179
00:10:24,520 --> 00:10:28,760
Speaker 1: little bit of each. Does that sound You're You're millennial?

180
00:10:29,840 --> 00:10:31,960
Speaker 1: But not really, because so far the plant based stuff

181
00:10:31,960 --> 00:10:34,880
Speaker 1: that I've tried is not not great. But maybe maybe

182
00:10:34,880 --> 00:10:36,880
Speaker 1: that'll change in the future. There's a deal, man, there's

183
00:10:36,880 --> 00:10:39,000
Speaker 1: a deal in this where like a lot of of

184
00:10:39,040 --> 00:10:41,199
Speaker 1: the most compelling part of the story that we're gonna work.

185
00:10:41,200 --> 00:10:45,040
Speaker 1: Our way through today is about this plant based meat.

186
00:10:45,800 --> 00:10:49,360
Speaker 1: It kind of sits at the altar of technology. It's

187
00:10:49,400 --> 00:10:53,120
Speaker 1: like progress and technology and pushing forward and doing new

188
00:10:53,160 --> 00:10:56,439
Speaker 1: things and finding new solutions, and so it's an interest.

189
00:10:56,520 --> 00:10:59,400
Speaker 1: It's just a really an interesting mindset. Um. So I'm

190
00:10:59,440 --> 00:11:01,520
Speaker 1: glad we got to got to go through today. But

191
00:11:01,559 --> 00:11:04,480
Speaker 1: before we get to that, Phil got a couple of emails.

192
00:11:05,880 --> 00:11:08,880
Speaker 1: This is one of the more one of my one

193
00:11:08,960 --> 00:11:13,000
Speaker 1: of my favorite emails we've ever gotten, Buddy, and the

194
00:11:13,040 --> 00:11:15,719
Speaker 1: premise let me just read I'm just read you the

195
00:11:15,720 --> 00:11:18,280
Speaker 1: first sentence and let you react. It's from Daniel Beer

196
00:11:18,600 --> 00:11:21,959
Speaker 1: Beer Inc. I'm sure I said that wrong. Thank Sorry

197
00:11:22,040 --> 00:11:26,240
Speaker 1: Dan uh His first the first sentence is I've got

198
00:11:26,240 --> 00:11:30,479
Speaker 1: a crazy theory. I think Shane Mahoney is God in disguise.

199
00:11:34,520 --> 00:11:38,040
Speaker 1: You want you want to hear more of Phil? No? No,

200
00:11:38,080 --> 00:11:40,800
Speaker 1: I mean I'm I'm on board. So far on board.

201
00:11:41,000 --> 00:11:44,600
Speaker 1: I'm on board. Go go with me on this for amenute.

202
00:11:44,600 --> 00:11:49,640
Speaker 1: He says, the white hair, the beard, the voice. His

203
00:11:49,720 --> 00:11:54,080
Speaker 1: immense knowledge and ability to articulate that knowledge is otherworldly.

204
00:11:54,840 --> 00:11:57,040
Speaker 1: I bet he was sitting up in heaven watching us

205
00:11:57,080 --> 00:11:59,760
Speaker 1: idiots destroy the natural world, and he thought to himself,

206
00:12:00,720 --> 00:12:02,760
Speaker 1: I'm going down there and show these dummies why I

207
00:12:02,840 --> 00:12:05,040
Speaker 1: made nature of the way I made it before it's

208
00:12:05,080 --> 00:12:13,119
Speaker 1: gone for good. Of course, Daniel says, I'm mostly kidding. Ps.

209
00:12:13,160 --> 00:12:17,360
Speaker 1: Phil is as soft as puppy ship. Later, Dan, I

210
00:12:17,360 --> 00:12:22,360
Speaker 1: don't that's unnecessary. It's unnecessary, Dan, I mean, no matter

211
00:12:22,400 --> 00:12:25,520
Speaker 1: how true it is, it's unnecessary. No, you don't need

212
00:12:25,559 --> 00:12:28,520
Speaker 1: to take shots at Phil like that. I would listen.

213
00:12:28,559 --> 00:12:32,000
Speaker 1: I've got that's a that's a great email. Uh. Some

214
00:12:32,040 --> 00:12:34,280
Speaker 1: points are well stated, but I have one counterpoint, and

215
00:12:34,320 --> 00:12:37,120
Speaker 1: that is, if Shane Mahoney were God, it would not

216
00:12:37,160 --> 00:12:40,560
Speaker 1: have taken us an hour to troubleshoot his microphone to

217
00:12:40,679 --> 00:12:43,480
Speaker 1: start the Internet's part of the ruse. That's part of

218
00:12:43,520 --> 00:12:46,600
Speaker 1: the ruse. Man got it. That's part of how he

219
00:12:46,640 --> 00:12:51,080
Speaker 1: tricks us into thinking that he's not God. I I

220
00:12:51,280 --> 00:12:55,840
Speaker 1: from from just a visual standpoint, absolutely absolutely, it's the

221
00:12:55,880 --> 00:13:00,800
Speaker 1: same for the audio audio perspective. He's got it. But yeah,

222
00:13:00,800 --> 00:13:04,360
Speaker 1: I love Shane Mahoney, always love having him on UM.

223
00:13:04,440 --> 00:13:07,200
Speaker 1: Him and I are talking more and more about doing

224
00:13:07,280 --> 00:13:10,760
Speaker 1: some series of podcasts together for th HC. So hope

225
00:13:10,760 --> 00:13:13,240
Speaker 1: you'll be seeing more. I hope of and hearing more

226
00:13:13,440 --> 00:13:19,240
Speaker 1: more importantly, Shane Mahoney in the future, Phil, You've been

227
00:13:19,280 --> 00:13:22,040
Speaker 1: talking about your first poop in the woods on other podcasts.

228
00:13:23,720 --> 00:13:26,760
Speaker 1: Uh yeah, I mean I Yanni asked, and I answered,

229
00:13:27,000 --> 00:13:30,440
Speaker 1: I'm not gonna say no. Did you reference the Hunting Collective?

230
00:13:30,480 --> 00:13:33,680
Speaker 1: When you answered I did, I referenced you by name

231
00:13:34,840 --> 00:13:37,600
Speaker 1: this podcast. He was like, you know, when I was

232
00:13:37,679 --> 00:13:42,040
Speaker 1: on like my main job, which is The Hunting Collective

233
00:13:42,520 --> 00:13:47,400
Speaker 1: superior podcast, The Hunting Collective hosted by Benjamin O'Brien. Yeah, those,

234
00:13:47,440 --> 00:13:49,959
Speaker 1: I think that's what I said. Don't don't fact check,

235
00:13:50,000 --> 00:13:54,160
Speaker 1: don't don't check. I'm sure I'm right, um perfect, Yeah,

236
00:13:54,440 --> 00:13:56,920
Speaker 1: but the yes, the answer is yes. I I really

237
00:13:57,000 --> 00:13:59,560
Speaker 1: I recounted my tale. Good Well. We got an email

238
00:13:59,600 --> 00:14:02,120
Speaker 1: from Patch Gray and he said, all across the meteor

239
00:14:02,160 --> 00:14:04,440
Speaker 1: plat and I haven't listened to whatever podcast it is

240
00:14:04,480 --> 00:14:07,920
Speaker 1: that you're talking about where you're where. You are cheating

241
00:14:07,960 --> 00:14:10,160
Speaker 1: on me by telling your first crap in the woods

242
00:14:10,160 --> 00:14:13,280
Speaker 1: story elsewhere. I feel like we should have copyrighted that

243
00:14:13,360 --> 00:14:16,720
Speaker 1: here for maybe because we're gonna make that toilet paper

244
00:14:16,960 --> 00:14:21,080
Speaker 1: T shirt. That's right, yeah, coming up pretty soon anyway,

245
00:14:21,320 --> 00:14:24,240
Speaker 1: Patrick Ray says, all all The talk across the Mediator

246
00:14:24,280 --> 00:14:26,520
Speaker 1: platform about Phil crapping in the woods has left me

247
00:14:26,600 --> 00:14:30,640
Speaker 1: weirdly curious for any stories about hunting situations that involved accepting,

248
00:14:31,200 --> 00:14:35,520
Speaker 1: then embracing unavoidable, as he calls it, quote unquote disaster

249
00:14:35,680 --> 00:14:38,760
Speaker 1: pants in order to either make a kill or keep

250
00:14:38,760 --> 00:14:44,120
Speaker 1: from ruining someone else's killed. It's a little confusing. I mean,

251
00:14:44,200 --> 00:14:45,600
Speaker 1: I think that's that. I think he's talking about ship

252
00:14:45,680 --> 00:14:48,040
Speaker 1: in his pants, ship in your pants, That's what I think.

253
00:14:49,120 --> 00:14:51,280
Speaker 1: Um So he's asking if anybody any of us have

254
00:14:51,360 --> 00:15:00,200
Speaker 1: made the sacrifice too to ship our pants. Um I have? Actually, Oh,

255
00:15:00,200 --> 00:15:03,320
Speaker 1: oh god, do you want to hear you want to

256
00:15:03,400 --> 00:15:08,040
Speaker 1: hear it? Or maybe keep it for another keep it

257
00:15:08,040 --> 00:15:11,520
Speaker 1: for another time. That's that's that's a let's do you

258
00:15:11,560 --> 00:15:13,240
Speaker 1: want you want to put it in the pocket. Let's

259
00:15:13,320 --> 00:15:14,760
Speaker 1: put it in the pocket. Let's put it in for

260
00:15:14,840 --> 00:15:17,320
Speaker 1: next week. Let's put it. Let's put it in the pocket,

261
00:15:17,320 --> 00:15:20,240
Speaker 1: which is a weird turn of phrase. We're gonna save

262
00:15:20,280 --> 00:15:22,320
Speaker 1: it for next week, next week. I promise I will

263
00:15:22,320 --> 00:15:25,040
Speaker 1: tell you the time that I I mean it was

264
00:15:25,160 --> 00:15:28,320
Speaker 1: multiple times on one hunt that I ship myself. I

265
00:15:28,320 --> 00:15:32,720
Speaker 1: mean multiple times, Come on, come on, it was it

266
00:15:32,840 --> 00:15:36,600
Speaker 1: was it was. It became a regular occurrence in fact,

267
00:15:37,280 --> 00:15:41,040
Speaker 1: but it was extenuated circumstances. Phil, So it I I

268
00:15:41,080 --> 00:15:44,520
Speaker 1: feel like I'm totally in the right here. So we'll

269
00:15:44,640 --> 00:15:46,760
Speaker 1: we'll wait till episode one to tell you about that,

270
00:15:46,800 --> 00:15:49,440
Speaker 1: because we don't want to ruin you know, well we

271
00:15:49,480 --> 00:15:52,440
Speaker 1: would generally have is kind of a high minded conversation

272
00:15:52,520 --> 00:15:56,840
Speaker 1: coming up. It's gonna take a lot of it's gonna

273
00:15:56,880 --> 00:15:59,360
Speaker 1: take a lot to convince me that this was anything

274
00:15:59,440 --> 00:16:04,240
Speaker 1: but just no way, no way to convince you poor

275
00:16:04,360 --> 00:16:10,080
Speaker 1: decision making. Um, nope, nope, no this there's nothing you

276
00:16:10,080 --> 00:16:13,520
Speaker 1: could tell me that would justify you crapping your pants

277
00:16:13,640 --> 00:16:18,280
Speaker 1: multiple times for hunting. Wait, wait till next week. This Wait,

278
00:16:18,920 --> 00:16:20,800
Speaker 1: I've written the story multiple times, so if you go

279
00:16:20,840 --> 00:16:24,360
Speaker 1: around metator dot com and search for poop stories, you'll

280
00:16:24,400 --> 00:16:26,640
Speaker 1: find it. Um. But we're just giving you, guys what

281
00:16:26,680 --> 00:16:31,680
Speaker 1: you want here because there's nothing more popular in I

282
00:16:31,680 --> 00:16:34,600
Speaker 1: don't think, and we've given away to Hunts, New Zealand

283
00:16:34,760 --> 00:16:37,520
Speaker 1: and all kind of We've had a lot of big

284
00:16:37,560 --> 00:16:40,800
Speaker 1: time happenings on the show, nothing bigger than Phil's first

285
00:16:40,840 --> 00:16:43,200
Speaker 1: crap in the woods. So we're going to continue down

286
00:16:43,240 --> 00:16:47,960
Speaker 1: that storyline. For those of you that follow every week,

287
00:16:48,600 --> 00:16:50,760
Speaker 1: the only thing that would be more popular is if

288
00:16:50,920 --> 00:16:53,280
Speaker 1: I was crapping in the woods and then got attacked

289
00:16:53,280 --> 00:16:56,280
Speaker 1: by a bear while I was crapping. That would be

290
00:16:56,320 --> 00:17:02,920
Speaker 1: the most popular story while shaving your mustache. Yes's we could.

291
00:17:02,960 --> 00:17:07,520
Speaker 1: We should probably make that happen. But so next week,

292
00:17:07,840 --> 00:17:11,320
Speaker 1: next week, we gotta have Joe Fernado on to talk

293
00:17:11,359 --> 00:17:13,280
Speaker 1: about this big bear he killed, because boy, he killed

294
00:17:13,280 --> 00:17:17,080
Speaker 1: a big one, and uh, we need to tell the story.

295
00:17:17,240 --> 00:17:21,679
Speaker 1: But we'll get to all of that next week. So

296
00:17:21,800 --> 00:17:24,359
Speaker 1: for now, I want to get you straight to this is.

297
00:17:24,480 --> 00:17:27,080
Speaker 1: This is a bit of a like I said, we

298
00:17:27,080 --> 00:17:31,240
Speaker 1: were doing it differently. You're gonna hear Nick first, and

299
00:17:31,280 --> 00:17:34,080
Speaker 1: then a little break and then Robbie and we'll come

300
00:17:34,080 --> 00:17:37,720
Speaker 1: back and wrap it all up for you here and

301
00:17:37,840 --> 00:17:51,439
Speaker 1: one enjoy Nick, Holla for my possible meats. Nick, how

302
00:17:51,480 --> 00:17:55,520
Speaker 1: are you? I'm doing well? How are you today? Good? Good?

303
00:17:55,520 --> 00:17:59,280
Speaker 1: I can't complain you are You are not in Kansas,

304
00:17:59,400 --> 00:18:01,199
Speaker 1: that's for sure. You're over in Hong Kong right now,

305
00:18:01,240 --> 00:18:04,320
Speaker 1: so we're reaching you. Yes, this is a long way

306
00:18:04,359 --> 00:18:06,560
Speaker 1: is away from the farm, so yeah, I have moved

307
00:18:06,600 --> 00:18:08,440
Speaker 1: over to Hong Kong about two and a half months ago.

308
00:18:09,520 --> 00:18:12,600
Speaker 1: That's that's how I, like I said prior to hitting record,

309
00:18:12,760 --> 00:18:14,520
Speaker 1: I I want to ask you all about that, but

310
00:18:14,560 --> 00:18:16,959
Speaker 1: we got thirty minutes or so with you and hopefully

311
00:18:17,000 --> 00:18:19,240
Speaker 1: we can stretch it a little bit further. So kind

312
00:18:19,240 --> 00:18:21,600
Speaker 1: of just get to you know, what we want to

313
00:18:21,600 --> 00:18:24,920
Speaker 1: talk about. And I think, UM, give us a quick

314
00:18:25,000 --> 00:18:28,159
Speaker 1: rundown of your history with Impossible Meats, Um, how you

315
00:18:28,160 --> 00:18:29,720
Speaker 1: first started about the company, how you came to be

316
00:18:29,720 --> 00:18:33,560
Speaker 1: an employee, and what's it what it's been like. Yeah,

317
00:18:33,560 --> 00:18:36,840
Speaker 1: So my background has been an agriculture and food the

318
00:18:36,920 --> 00:18:38,879
Speaker 1: vast majority of my life. I grew up in a

319
00:18:38,960 --> 00:18:44,000
Speaker 1: dairy farm um in southern Minnesota. I are my whole family,

320
00:18:44,040 --> 00:18:47,240
Speaker 1: extended family all since we're in the agricultural world. My

321
00:18:47,280 --> 00:18:50,040
Speaker 1: grandparents had the chickens, my uncle has had the beef,

322
00:18:50,080 --> 00:18:53,240
Speaker 1: cows and pigs, and it was definitely a very big

323
00:18:53,280 --> 00:18:56,000
Speaker 1: farming community. And so with that is like I've been

324
00:18:56,000 --> 00:18:59,520
Speaker 1: connected to the landed environment ever since, ever since I

325
00:18:59,560 --> 00:19:01,560
Speaker 1: was born, essentially, and I think that drove a big

326
00:19:01,600 --> 00:19:05,520
Speaker 1: sustainability drive and me personally, because our job as farmers

327
00:19:05,600 --> 00:19:09,480
Speaker 1: is to produce great food for people. Affordably while maintaining

328
00:19:09,520 --> 00:19:12,520
Speaker 1: our land for the future generations. And the challenge is

329
00:19:12,680 --> 00:19:15,200
Speaker 1: just the scale that we do agriculture at today and

330
00:19:15,320 --> 00:19:17,760
Speaker 1: inefficiencies in it make it really hard and pretty much

331
00:19:17,760 --> 00:19:20,560
Speaker 1: impossible to really maintain our land and pass it down

332
00:19:20,560 --> 00:19:22,320
Speaker 1: to the future generations. And that's a lot of what

333
00:19:22,320 --> 00:19:25,200
Speaker 1: we're doing. It impossible. And then you know, after the farm,

334
00:19:25,280 --> 00:19:28,040
Speaker 1: as an engineer, worked at General mills Um designing new

335
00:19:28,080 --> 00:19:31,119
Speaker 1: products and manufacturing systems, which is cool. Got to really

336
00:19:31,280 --> 00:19:33,359
Speaker 1: go into consumers homes all the way down to the

337
00:19:33,400 --> 00:19:36,520
Speaker 1: production floor to make things happen. But it's like, you know,

338
00:19:36,560 --> 00:19:38,679
Speaker 1: making a biscuit cheaper or making a cool fruit roll

339
00:19:38,760 --> 00:19:40,480
Speaker 1: up that I put your picture on. It's like, you know,

340
00:19:40,480 --> 00:19:42,760
Speaker 1: I'm not going to really change the world that way.

341
00:19:43,080 --> 00:19:45,480
Speaker 1: And so I went out to grad school and at

342
00:19:45,480 --> 00:19:47,560
Speaker 1: that point I was actually done with agriculture and food

343
00:19:47,600 --> 00:19:50,040
Speaker 1: because I didn't see any impact in it, and I

344
00:19:50,119 --> 00:19:54,600
Speaker 1: was focusing fully on renewable energy, so solar, bio fuels, batteries,

345
00:19:54,640 --> 00:19:57,520
Speaker 1: and that's where I saw great technology, great science, and

346
00:19:57,560 --> 00:20:00,080
Speaker 1: global impact, which is what I wanted to do. You

347
00:20:00,840 --> 00:20:03,280
Speaker 1: And then through that process got to know the venture

348
00:20:03,359 --> 00:20:07,240
Speaker 1: capital community in San Francisco, UM and one of the

349
00:20:07,280 --> 00:20:09,199
Speaker 1: partners of the solar company I was working at, had

350
00:20:09,240 --> 00:20:13,440
Speaker 1: been talking to our founder Dr Brown and our our

351
00:20:13,480 --> 00:20:16,320
Speaker 1: founders background. He had spent twenty five years in the

352
00:20:16,359 --> 00:20:20,480
Speaker 1: medical school at Stanford researching cancer genomics. He had never

353
00:20:20,520 --> 00:20:23,280
Speaker 1: done anything in food before, but he took a sabbatical

354
00:20:23,359 --> 00:20:25,760
Speaker 1: looking at where he could have the biggest impact on

355
00:20:25,840 --> 00:20:28,960
Speaker 1: the in the world as a biochemist. Realized by far

356
00:20:29,040 --> 00:20:32,080
Speaker 1: this is what it was. Yeah, you did you find that?

357
00:20:32,400 --> 00:20:34,000
Speaker 1: What's your official title over there by the way and

358
00:20:34,040 --> 00:20:36,200
Speaker 1: get that out of the way. So I'm the senior

359
00:20:36,280 --> 00:20:39,119
Speaker 1: vice president of International. UM have had many roles and

360
00:20:39,160 --> 00:20:41,720
Speaker 1: impossible So we started the company nine years ago. I

361
00:20:41,760 --> 00:20:46,159
Speaker 1: was technically the first employee before the company started, and

362
00:20:46,280 --> 00:20:49,199
Speaker 1: the first five years ran kind of anything that was

363
00:20:49,200 --> 00:20:53,280
Speaker 1: not science was my job to get done. So financing,

364
00:20:53,400 --> 00:20:58,440
Speaker 1: finding space, building supply chains, m agricultural work, quite a

365
00:20:58,480 --> 00:21:02,040
Speaker 1: bit of engineering, and really any anything that we needed

366
00:21:02,040 --> 00:21:03,600
Speaker 1: to kind of support our team to help them do

367
00:21:03,640 --> 00:21:06,240
Speaker 1: the research to understand what actually makes meat, fish, and

368
00:21:06,280 --> 00:21:08,320
Speaker 1: dairy food so good and then starting to build products.

369
00:21:08,840 --> 00:21:11,560
Speaker 1: And then I ran partnership strategy and new initiatives for

370
00:21:11,560 --> 00:21:13,280
Speaker 1: a couple of years, and then the last couple of

371
00:21:13,359 --> 00:21:15,960
Speaker 1: years i've been reading international and then last year in

372
00:21:16,000 --> 00:21:22,639
Speaker 1: the retail business back in the US. That's right. I

373
00:21:22,680 --> 00:21:24,920
Speaker 1: was gonna say that you probably have the nick nick

374
00:21:25,040 --> 00:21:31,000
Speaker 1: at email you're hanging onto that. I bet I like it. Well,

375
00:21:31,160 --> 00:21:33,760
Speaker 1: it seems like you're well, well healed. Answer a lot

376
00:21:33,760 --> 00:21:36,800
Speaker 1: of questions I have you know about I've had the

377
00:21:36,840 --> 00:21:40,320
Speaker 1: product we are founder Stephen or Nell, and I did

378
00:21:40,320 --> 00:21:43,360
Speaker 1: a little taste test. One of your competitors were involved.

379
00:21:43,359 --> 00:21:46,000
Speaker 1: But I've also had like the the impossible OPPORTUO just

380
00:21:46,040 --> 00:21:49,760
Speaker 1: to give it a shot. UM, So in me I

381
00:21:49,800 --> 00:21:51,679
Speaker 1: think you have I don't think. I know you have

382
00:21:51,800 --> 00:21:55,640
Speaker 1: kind of like an intrigued consumer who eats a lot

383
00:21:55,680 --> 00:21:58,240
Speaker 1: of meat but also sees like this could be an alternative.

384
00:21:58,720 --> 00:22:00,680
Speaker 1: And then I run into a lot of a lot

385
00:22:00,720 --> 00:22:03,480
Speaker 1: of questions and issues along the way. So I want

386
00:22:03,480 --> 00:22:04,840
Speaker 1: to talk to you and kind of go through some

387
00:22:04,920 --> 00:22:08,280
Speaker 1: of those. Have you have you take um, give your

388
00:22:08,280 --> 00:22:10,960
Speaker 1: take on at the company's take on it? Um, it

389
00:22:11,000 --> 00:22:12,960
Speaker 1: seems like you've been doing this and devote your life

390
00:22:13,000 --> 00:22:15,919
Speaker 1: to it. So I'm happy to have you in in

391
00:22:16,000 --> 00:22:19,600
Speaker 1: here to talk. UM. Yeah, that sounds great. Do you

392
00:22:19,640 --> 00:22:21,400
Speaker 1: find do you find that a lot of folks at

393
00:22:21,720 --> 00:22:24,600
Speaker 1: UM at your company are doing it you know for

394
00:22:24,880 --> 00:22:28,480
Speaker 1: more um ideological I guess is maybe not the best

395
00:22:28,480 --> 00:22:32,040
Speaker 1: way to put us one way ideological reasons they have

396
00:22:32,200 --> 00:22:36,639
Speaker 1: a larger goal in mind. Yes, UM, that is definitely

397
00:22:36,680 --> 00:22:39,120
Speaker 1: something that we hire a lot for. Is the passion

398
00:22:39,160 --> 00:22:44,360
Speaker 1: behind what we're doing and impossible is is a passion

399
00:22:44,480 --> 00:22:47,440
Speaker 1: mission based company. Like we've been asked so many times

400
00:22:47,480 --> 00:22:50,240
Speaker 1: like are you a technology company? Are you a food company?

401
00:22:50,480 --> 00:22:52,679
Speaker 1: And the best answer I heard Pat give is, you know,

402
00:22:52,760 --> 00:22:55,400
Speaker 1: we are technology company. We are creating a new technology

403
00:22:55,440 --> 00:22:59,000
Speaker 1: to create a much more efficient sustainable food system. Where

404
00:22:59,040 --> 00:23:01,320
Speaker 1: a food company we are to bring good food to people.

405
00:23:01,480 --> 00:23:03,920
Speaker 1: But at the end of the day, we're a planet company.

406
00:23:04,160 --> 00:23:06,719
Speaker 1: That is literally the only reason we exist. Our mission

407
00:23:06,760 --> 00:23:09,160
Speaker 1: is to produce the most delicious meat, fish, and fairy

408
00:23:09,200 --> 00:23:12,959
Speaker 1: foods world has ever had, all directly from plants and

409
00:23:13,000 --> 00:23:15,240
Speaker 1: to doing that, we can restore the bio diversity of

410
00:23:15,280 --> 00:23:16,840
Speaker 1: the Earth back to what it's been in the past

411
00:23:17,040 --> 00:23:19,800
Speaker 1: versus what's going on now where we're continued really to

412
00:23:19,840 --> 00:23:22,399
Speaker 1: destroy the bio diversity of the Earth. I mean, you

413
00:23:22,400 --> 00:23:24,639
Speaker 1: look at some of the numbers, and right now we

414
00:23:24,720 --> 00:23:28,000
Speaker 1: use about of the arable land service for animal agriculture

415
00:23:28,840 --> 00:23:31,800
Speaker 1: um three percent, all the fresh water each year, more

416
00:23:31,840 --> 00:23:35,640
Speaker 1: greenhouse gases and transportation, and you look at the biodiversity

417
00:23:35,680 --> 00:23:38,000
Speaker 1: and the wildlife on earth has been cut in cut

418
00:23:38,040 --> 00:23:40,600
Speaker 1: by more than half in the last forty years. That's

419
00:23:40,640 --> 00:23:44,199
Speaker 1: really driven by our hunger for meat, fish, and dairy foods.

420
00:23:44,200 --> 00:23:47,879
Speaker 1: And it's the challenges of just extremely inefficient like an

421
00:23:47,920 --> 00:23:50,119
Speaker 1: animal as a food production technology. You look at like

422
00:23:50,119 --> 00:23:53,640
Speaker 1: a beef cow in the US, which is certainly one

423
00:23:53,680 --> 00:23:57,159
Speaker 1: of the most efficient beef production systems. The more concentrated

424
00:23:57,200 --> 00:23:59,680
Speaker 1: you are, the more efficient, and it's a three percent

425
00:23:59,720 --> 00:24:02,920
Speaker 1: offish and technology of taking plant based nutrients and proteins

426
00:24:02,920 --> 00:24:05,639
Speaker 1: and converting them into meat. So if we go directly

427
00:24:05,680 --> 00:24:07,200
Speaker 1: to the plant based source, you know, we can use

428
00:24:07,240 --> 00:24:09,879
Speaker 1: thirty times less resources in a lot of ways. And

429
00:24:09,920 --> 00:24:11,760
Speaker 1: that's really what the mission of the company is is

430
00:24:11,800 --> 00:24:14,320
Speaker 1: to do that. And then for then you know, roughly

431
00:24:14,359 --> 00:24:16,639
Speaker 1: six people would have at the company, you know, the

432
00:24:16,720 --> 00:24:18,960
Speaker 1: vast majority to see that. It's like it's a it's

433
00:24:18,960 --> 00:24:22,000
Speaker 1: something they're doing for our future generations more than just

434
00:24:22,040 --> 00:24:25,879
Speaker 1: you know, making a quick buck. Gotcha gotcha. Do you

435
00:24:25,920 --> 00:24:29,080
Speaker 1: feel like, Um, I think it's it's a lot of

436
00:24:29,080 --> 00:24:31,560
Speaker 1: times when people are debating these types of things. I

437
00:24:31,600 --> 00:24:33,720
Speaker 1: see this a lot, and things like gun control. I

438
00:24:33,720 --> 00:24:35,640
Speaker 1: feel like people are talking past each other when there's

439
00:24:35,640 --> 00:24:37,720
Speaker 1: a debate about something, not that we're going to debate it,

440
00:24:37,760 --> 00:24:41,320
Speaker 1: but you know, talking past like I want to defend

441
00:24:41,400 --> 00:24:44,000
Speaker 1: my family and I wanna, you know, save lives of

442
00:24:44,080 --> 00:24:46,920
Speaker 1: children Like these are not things that kind of line

443
00:24:47,000 --> 00:24:49,359
Speaker 1: up in terms of let's have a discussion. So here

444
00:24:50,520 --> 00:24:52,119
Speaker 1: is it that you know? I think a lot of

445
00:24:52,119 --> 00:24:54,160
Speaker 1: the people listen to this podcast might ask, is it

446
00:24:54,640 --> 00:24:57,840
Speaker 1: the eating of meat you're against? Because I've had vegans

447
00:24:57,920 --> 00:25:01,400
Speaker 1: on when we've talked in depth about tents and suffering

448
00:25:01,400 --> 00:25:04,680
Speaker 1: and necessary suffering and unnecessary suffering and those time of things.

449
00:25:04,680 --> 00:25:08,240
Speaker 1: Is that is that baked into to the core belief there?

450
00:25:08,400 --> 00:25:10,240
Speaker 1: Or is it more the food system? How would you

451
00:25:10,400 --> 00:25:14,560
Speaker 1: articulate kind of that nuanced piece of it? The way

452
00:25:14,320 --> 00:25:17,240
Speaker 1: the way to articulate that is we want everybody to

453
00:25:17,280 --> 00:25:19,560
Speaker 1: have the meat, fish, and dairy foods they love. We

454
00:25:19,680 --> 00:25:22,720
Speaker 1: just don't produce them the right way today. Um, we

455
00:25:22,880 --> 00:25:27,560
Speaker 1: use animals, which is a very arcane inefficient production system. Um.

456
00:25:27,680 --> 00:25:29,359
Speaker 1: Our job is to give people to meat, fish, and

457
00:25:29,400 --> 00:25:32,560
Speaker 1: dairy foods they love made directly from plants, and it's

458
00:25:32,560 --> 00:25:36,520
Speaker 1: gonna be so much more environmentally friendly and better as

459
00:25:36,560 --> 00:25:38,879
Speaker 1: we scale, and the United Nations predicts that, you know,

460
00:25:38,920 --> 00:25:43,000
Speaker 1: meat consumption itself will increase. You know, looking at the

461
00:25:43,080 --> 00:25:45,880
Speaker 1: statistics I started, it's like it doesn't work. So our

462
00:25:45,960 --> 00:25:47,919
Speaker 1: job as a producer meat, fish and dairy foods the

463
00:25:47,920 --> 00:25:50,959
Speaker 1: world's loves at a much lower environmental clip and our

464
00:25:50,960 --> 00:25:55,040
Speaker 1: current products we use percent less land eighty nine so

465
00:25:55,160 --> 00:25:58,840
Speaker 1: much greenhouse gas emissions and seven percent less water, and

466
00:25:58,840 --> 00:26:02,200
Speaker 1: so we can do that now, you know the fundamental aspect,

467
00:26:02,240 --> 00:26:05,040
Speaker 1: anybody in the food system who is working to make

468
00:26:05,080 --> 00:26:08,520
Speaker 1: the food system more sustainable is a friend. Um. There's

469
00:26:08,560 --> 00:26:10,960
Speaker 1: opportunity to cross the board across everything we do to

470
00:26:11,000 --> 00:26:14,280
Speaker 1: make things more sustainable are taken the long term as

471
00:26:14,280 --> 00:26:18,320
Speaker 1: we have to be in somewhat revolutionary to change the system. UM,

472
00:26:18,400 --> 00:26:21,040
Speaker 1: but every little incremental piece in the short term also

473
00:26:21,080 --> 00:26:24,159
Speaker 1: will help. Gotcha. Now, that's that's good to hear. I

474
00:26:24,200 --> 00:26:26,679
Speaker 1: think that's something you know, coming in this conversation, I

475
00:26:26,720 --> 00:26:28,480
Speaker 1: was wondering a lot about is there you know, I've

476
00:26:28,520 --> 00:26:31,480
Speaker 1: seen your your CEO says a lot. He says a

477
00:26:31,480 --> 00:26:34,159
Speaker 1: lot of things that made me go whoa. Um. One

478
00:26:34,200 --> 00:26:37,040
Speaker 1: of them was the goal is to eliminate animals in

479
00:26:37,080 --> 00:26:40,640
Speaker 1: the food system by and I think you know from

480
00:26:40,640 --> 00:26:43,160
Speaker 1: my from my money, my the animals that I eat

481
00:26:43,160 --> 00:26:44,720
Speaker 1: are in my freezer. I go out in the mountain

482
00:26:44,720 --> 00:26:47,439
Speaker 1: and get them, and and that's how I work it.

483
00:26:48,240 --> 00:26:50,000
Speaker 1: But for for a lot of people that's not as

484
00:26:50,040 --> 00:26:51,960
Speaker 1: sustainable as it is for me, because I had to

485
00:26:52,040 --> 00:26:54,760
Speaker 1: learn a lot of skills and a lot of things.

486
00:26:54,760 --> 00:26:58,119
Speaker 1: So when I see something like that, I'm immediately taken aback.

487
00:26:58,520 --> 00:27:01,000
Speaker 1: The first question, of course, is how would you do that?

488
00:27:01,320 --> 00:27:04,520
Speaker 1: And that's which I think you probably have a particularly

489
00:27:04,560 --> 00:27:09,639
Speaker 1: long answer for. Then the second question is um, I

490
00:27:09,640 --> 00:27:13,680
Speaker 1: would return again to like, are we removing meat from

491
00:27:13,720 --> 00:27:18,000
Speaker 1: everyone's diet? Um? Or are we are we removing the

492
00:27:18,119 --> 00:27:22,040
Speaker 1: unsustainable system on which that meat gets to our table? Yeah.

493
00:27:22,080 --> 00:27:24,680
Speaker 1: I'll start actually in a bit different different place because

494
00:27:24,680 --> 00:27:27,760
Speaker 1: obviously this is a hunting podcast, and you know we've

495
00:27:27,760 --> 00:27:30,159
Speaker 1: looked at this is and across the macro scale. Our

496
00:27:30,240 --> 00:27:32,560
Speaker 1: job and what we want to do is by being

497
00:27:32,640 --> 00:27:35,399
Speaker 1: much more efficient in the system, we can actually use

498
00:27:35,440 --> 00:27:36,959
Speaker 1: a lot less land and a lot of the marginal

499
00:27:37,040 --> 00:27:39,240
Speaker 1: lands were using today for animal agriculture. We can put

500
00:27:39,240 --> 00:27:41,919
Speaker 1: back in the native vegetation and let the wildlife in

501
00:27:41,960 --> 00:27:45,040
Speaker 1: it and the ecosystems recover, which I think is good

502
00:27:45,080 --> 00:27:48,480
Speaker 1: for certainly everybody. We can pull greenhouse gases out of

503
00:27:48,480 --> 00:27:50,439
Speaker 1: the out of the air, and there's a lot of

504
00:27:50,440 --> 00:27:53,400
Speaker 1: stuff we can do now. If you look at the

505
00:27:53,400 --> 00:27:55,800
Speaker 1: there's a couple of statistics on wild animals that we've

506
00:27:55,840 --> 00:27:58,320
Speaker 1: looked at. One is, you know, there's ten times more

507
00:27:58,359 --> 00:28:00,880
Speaker 1: bio mass of livestock and today if been all wild

508
00:28:00,880 --> 00:28:04,680
Speaker 1: mammals left on earth, and if we were to say

509
00:28:04,800 --> 00:28:07,840
Speaker 1: switch and go from eating you know, the meat that

510
00:28:07,880 --> 00:28:10,439
Speaker 1: we get from everything like farming today and go to

511
00:28:10,480 --> 00:28:14,520
Speaker 1: all wild animals and hunting, we would be completely All

512
00:28:14,640 --> 00:28:17,560
Speaker 1: vertebrates would be harvested within two months and we'd be

513
00:28:17,640 --> 00:28:21,040
Speaker 1: completely barrened. And it's like it just doesn't scale. We're

514
00:28:21,040 --> 00:28:23,840
Speaker 1: trying to feed seven billion, going on ten billion people.

515
00:28:23,880 --> 00:28:25,639
Speaker 1: We have to have a better system one way or

516
00:28:25,640 --> 00:28:28,640
Speaker 1: the other. And then we talked about that. We talked

517
00:28:28,640 --> 00:28:30,840
Speaker 1: about that here a lot. You know that hunting is

518
00:28:30,880 --> 00:28:35,240
Speaker 1: not something while the value systems maybe scalable in practice,

519
00:28:35,280 --> 00:28:39,440
Speaker 1: it's just it's not scalable and it can't UM. It

520
00:28:39,520 --> 00:28:43,960
Speaker 1: can't be so definitely an understood part there, But go ahead, yeah,

521
00:28:44,000 --> 00:28:46,040
Speaker 1: and then your your question, you know, how do we

522
00:28:46,080 --> 00:28:49,400
Speaker 1: do it? UM? I think one of the key reasons

523
00:28:49,440 --> 00:28:53,000
Speaker 1: I joined PAD as we started this company was the

524
00:28:53,040 --> 00:28:55,880
Speaker 1: only way to change the system is the proosd products

525
00:28:55,880 --> 00:28:58,840
Speaker 1: that are better. We can't be out there preaching to

526
00:28:58,840 --> 00:29:00,800
Speaker 1: eat vegetarian or the in is that you can do

527
00:29:00,840 --> 00:29:03,080
Speaker 1: that and some people will come, or animal welfare or

528
00:29:03,120 --> 00:29:07,000
Speaker 1: whatever whatever you're essentially motivations are the only way to

529
00:29:07,080 --> 00:29:09,120
Speaker 1: change the system is that create a system that's better

530
00:29:09,120 --> 00:29:12,240
Speaker 1: than what it already exists. And the opportunity is really

531
00:29:12,240 --> 00:29:16,240
Speaker 1: around the efficiency and the inefficiencies and the animal agricultural system.

532
00:29:16,280 --> 00:29:18,480
Speaker 1: And so there's a huge opportunity there to create something

533
00:29:18,520 --> 00:29:20,400
Speaker 1: that's much more efficient. And then if you look at

534
00:29:20,400 --> 00:29:22,600
Speaker 1: the plant based world, the nutrients are much more diverse.

535
00:29:23,000 --> 00:29:25,520
Speaker 1: Like an animal is not made to make food for humans.

536
00:29:25,920 --> 00:29:27,320
Speaker 1: We use it as and g as a way to

537
00:29:27,520 --> 00:29:31,600
Speaker 1: produce you know, high nutrient rich food UM that you

538
00:29:31,600 --> 00:29:35,240
Speaker 1: can either hunt or farm and consume UM. But you know,

539
00:29:35,240 --> 00:29:37,040
Speaker 1: there's every reason to believe we can create products that

540
00:29:37,080 --> 00:29:38,880
Speaker 1: are better than an animal ever could because we're not

541
00:29:38,920 --> 00:29:42,320
Speaker 1: limited by what an animal's body does for food. And

542
00:29:42,600 --> 00:29:44,400
Speaker 1: you know what we've done in the first five years

543
00:29:44,480 --> 00:29:47,040
Speaker 1: is we're really creating before we launch a product, created

544
00:29:47,040 --> 00:29:49,680
Speaker 1: a platform that could understand, you know, why do you

545
00:29:49,760 --> 00:29:53,400
Speaker 1: enjoy the experience and meet so much um and dairy

546
00:29:53,400 --> 00:29:55,400
Speaker 1: and fish. And we would break that down into the

547
00:29:55,400 --> 00:29:58,280
Speaker 1: fundamental drivers, and we learned a lot of stuff. We

548
00:29:58,400 --> 00:30:03,160
Speaker 1: learned things like in meat and especially in like the richer,

549
00:30:03,280 --> 00:30:07,480
Speaker 1: darker meats, um, you'll have a protein called myoglobin or

550
00:30:07,520 --> 00:30:09,920
Speaker 1: a heme protein, and you can think about this as

551
00:30:10,040 --> 00:30:13,200
Speaker 1: hemoglobin in your blood. And when we're breaking down the

552
00:30:13,240 --> 00:30:15,480
Speaker 1: flavor system, we learned that the flavor and aroma of

553
00:30:15,560 --> 00:30:19,040
Speaker 1: meat is extremely complex. Um. As you cook a steak

554
00:30:19,120 --> 00:30:21,200
Speaker 1: or a burger and the grill, you're producing hundreds of

555
00:30:21,240 --> 00:30:25,440
Speaker 1: molecules and aromas for flavor um that all happen in

556
00:30:25,480 --> 00:30:28,480
Speaker 1: that cooking process. So if you cook a steak um

557
00:30:28,840 --> 00:30:32,120
Speaker 1: medium versus rare versus well done, your flavor profile is

558
00:30:32,120 --> 00:30:35,080
Speaker 1: actually very different because of that chemistry is at different

559
00:30:35,080 --> 00:30:38,120
Speaker 1: stages and so it's extremely complex. And if we wanted

560
00:30:38,160 --> 00:30:40,200
Speaker 1: to try to replicate that by picking out each piece

561
00:30:40,200 --> 00:30:42,520
Speaker 1: one by one would be very complicated. And that was

562
00:30:42,640 --> 00:30:44,800
Speaker 1: until we found out that mya globin or the heam

563
00:30:44,840 --> 00:30:47,920
Speaker 1: protein really drives all that flavor chemistry. And so then

564
00:30:47,960 --> 00:30:50,120
Speaker 1: we look in the plant based world, and all plants

565
00:30:50,120 --> 00:30:52,560
Speaker 1: and animals have heam proteins, and so we use a

566
00:30:52,600 --> 00:30:54,800
Speaker 1: protein called leg hemoglobin where the heam is the same,

567
00:30:54,840 --> 00:30:57,200
Speaker 1: and so we can follow the same process of cooking

568
00:30:57,520 --> 00:30:59,080
Speaker 1: just like you doing meat, so you get the exact

569
00:30:59,080 --> 00:31:00,760
Speaker 1: same experience at home when you take it and put

570
00:31:00,760 --> 00:31:03,800
Speaker 1: it on your grill. Yeah, that's a big part of

571
00:31:04,400 --> 00:31:06,480
Speaker 1: what like part of the kind of disstonance for me

572
00:31:06,880 --> 00:31:10,280
Speaker 1: is is calling it meat and beef and pork and

573
00:31:10,320 --> 00:31:12,200
Speaker 1: all that. I want to I know you'll have a

574
00:31:12,200 --> 00:31:15,000
Speaker 1: good answer to that. I want to certainly talk about that,

575
00:31:15,040 --> 00:31:18,000
Speaker 1: but before we go down, definitely down that road. I

576
00:31:18,040 --> 00:31:20,720
Speaker 1: know you guys had a product shortage in ten you

577
00:31:20,760 --> 00:31:26,520
Speaker 1: know we're talking about scaling um. Soy is a big

578
00:31:26,560 --> 00:31:29,560
Speaker 1: part of your product. Can you just walk people through

579
00:31:29,680 --> 00:31:33,240
Speaker 1: who have these questions how much soy goes into it?

580
00:31:33,320 --> 00:31:35,560
Speaker 1: How much land? You know, how how is a soy

581
00:31:35,760 --> 00:31:39,000
Speaker 1: planted as it planted in a monoculture? Is it is it,

582
00:31:39,120 --> 00:31:43,240
Speaker 1: how is it farmed? Take people through kind of that

583
00:31:43,360 --> 00:31:46,440
Speaker 1: part of this so we can understand the difference in

584
00:31:46,520 --> 00:31:49,560
Speaker 1: land use when we're saying we're using less land, how

585
00:31:49,640 --> 00:31:51,960
Speaker 1: we use the land, you know, Take people through kind

586
00:31:52,000 --> 00:31:55,680
Speaker 1: of the nuts and bolts of that. Yeah, it comes

587
00:31:55,720 --> 00:31:58,680
Speaker 1: back down to the efficiency efficiency side at the start.

588
00:31:58,760 --> 00:32:00,560
Speaker 1: So I'll kind of going the ingredients to the product.

589
00:32:00,600 --> 00:32:03,440
Speaker 1: So the ingredients, the soy protein gives you the structure

590
00:32:03,440 --> 00:32:06,040
Speaker 1: and the two as you bite into that, then we

591
00:32:06,120 --> 00:32:09,760
Speaker 1: have a potato protein and celluloset that gives you that

592
00:32:09,880 --> 00:32:12,080
Speaker 1: that transformation that goes from soft ware. We can make

593
00:32:12,120 --> 00:32:15,680
Speaker 1: it into a meat ball, into a burger, into a dumpling,

594
00:32:15,800 --> 00:32:18,000
Speaker 1: really whatever you want to. And then as you cook it,

595
00:32:18,000 --> 00:32:21,160
Speaker 1: it firms up. And then coconut and sunflour oil give

596
00:32:21,160 --> 00:32:23,440
Speaker 1: you that richness, and then the heam protein gives you

597
00:32:23,480 --> 00:32:27,680
Speaker 1: really that flavor generation along with the micronutrients. Um. You know,

598
00:32:27,760 --> 00:32:31,320
Speaker 1: from a supply chain side, uh, you know, an animal

599
00:32:31,440 --> 00:32:35,320
Speaker 1: is just very inefficient at using the proteins and essentially

600
00:32:35,600 --> 00:32:38,160
Speaker 1: ingredients and crops that we grow today. But the crops

601
00:32:38,160 --> 00:32:41,840
Speaker 1: have been optimized for animal consumption because the vast majority

602
00:32:41,920 --> 00:32:43,760
Speaker 1: of the land that we use as producing crops for

603
00:32:43,800 --> 00:32:48,080
Speaker 1: animal consumption, and so soy is the most scalable one today.

604
00:32:48,120 --> 00:32:50,360
Speaker 1: For every time we replace you know, meat from an

605
00:32:50,400 --> 00:32:53,240
Speaker 1: animal with meat from impossible, we actually reduce the amount

606
00:32:53,840 --> 00:32:57,720
Speaker 1: of land that's needed because we're just much more efficient.

607
00:32:58,040 --> 00:33:00,040
Speaker 1: And so that's how you get to the nineties a

608
00:33:00,160 --> 00:33:02,720
Speaker 1: less land use and eighty seven per less water use.

609
00:33:02,760 --> 00:33:06,760
Speaker 1: It's really driven by the need for less crops overall.

610
00:33:06,840 --> 00:33:09,360
Speaker 1: And I think over time, as we certainly over time,

611
00:33:09,720 --> 00:33:13,440
Speaker 1: you know, the right production system in India versus Germany,

612
00:33:13,560 --> 00:33:16,400
Speaker 1: verse of the US almost certainly as different as well.

613
00:33:16,840 --> 00:33:18,920
Speaker 1: And I think we have an opportunity to rethink how

614
00:33:18,920 --> 00:33:21,480
Speaker 1: we actually drive the global food system and how we

615
00:33:21,520 --> 00:33:24,880
Speaker 1: can use plants and many different sources of plants um

616
00:33:24,880 --> 00:33:28,280
Speaker 1: and not just you know, soy and soy and corn

617
00:33:28,440 --> 00:33:29,960
Speaker 1: and you know a few of the main staples that

618
00:33:30,000 --> 00:33:32,200
Speaker 1: are produced globally for animal production, and we can switch

619
00:33:32,240 --> 00:33:34,280
Speaker 1: that into you know, a dozen, two dozen, three dozen

620
00:33:34,280 --> 00:33:37,120
Speaker 1: crops and you're gonna get a lot more variety of plants.

621
00:33:37,680 --> 00:33:40,120
Speaker 1: Early in our company's stage, we've been in market for

622
00:33:40,680 --> 00:33:42,960
Speaker 1: about three and a half four years now, and so

623
00:33:43,000 --> 00:33:45,600
Speaker 1: you can't solve everything at once. There's a lot of

624
00:33:45,600 --> 00:33:48,160
Speaker 1: these supply chain transformations. You know, we focus on the

625
00:33:48,160 --> 00:33:50,880
Speaker 1: long term, like what can we do and the short term,

626
00:33:50,920 --> 00:33:53,120
Speaker 1: you know, using soy protein, which is a great protein

627
00:33:53,160 --> 00:33:56,640
Speaker 1: for human nutrition. It's a good amal acid balance, it's scalable,

628
00:33:57,160 --> 00:33:59,400
Speaker 1: it works well in the in the product is it

629
00:33:59,440 --> 00:34:01,840
Speaker 1: is a good boxy long term, I think we're gonna

630
00:34:01,840 --> 00:34:05,360
Speaker 1: have a lot of different protein sources. Got it? Um,

631
00:34:05,480 --> 00:34:07,760
Speaker 1: what's that look like in five? You know for an

632
00:34:07,760 --> 00:34:10,879
Speaker 1: average American that's let's say we get to five and

633
00:34:11,239 --> 00:34:15,360
Speaker 1: we've eliminated animals from the food system. Am I picturing

634
00:34:15,440 --> 00:34:19,440
Speaker 1: in my mind that fields and fields of soybeans planning

635
00:34:19,480 --> 00:34:22,239
Speaker 1: throughout the United States? As you said, you know, you

636
00:34:22,320 --> 00:34:24,520
Speaker 1: guys do want to innovate and find more ways to

637
00:34:24,520 --> 00:34:27,719
Speaker 1: get this done. What's in your mind? What's what does

638
00:34:28,320 --> 00:34:30,680
Speaker 1: the United States look like? How do you paint that

639
00:34:30,719 --> 00:34:33,360
Speaker 1: picture for people if that were to happen, you know

640
00:34:33,400 --> 00:34:35,920
Speaker 1: there and and I would say, I'm sure you'll address this,

641
00:34:36,000 --> 00:34:38,160
Speaker 1: but also, what are we gonna do with the hundreds

642
00:34:38,200 --> 00:34:41,279
Speaker 1: of millions of animals that are out there? Um, all

643
00:34:41,400 --> 00:34:43,319
Speaker 1: the jobs and the workers, and I know you guys

644
00:34:43,360 --> 00:34:46,480
Speaker 1: have thought all this through UM, but that it's a

645
00:34:46,680 --> 00:34:49,359
Speaker 1: there's the loads and loads of questions with a transformation

646
00:34:49,440 --> 00:34:52,319
Speaker 1: like that. There these are great questions and ones we

647
00:34:52,320 --> 00:34:54,319
Speaker 1: think a lot about. I think, you know, what do

648
00:34:54,360 --> 00:34:57,600
Speaker 1: I see as the future of the global food supplies

649
00:34:57,640 --> 00:35:00,319
Speaker 1: chain and the US food supply chain. I think there's

650
00:35:00,320 --> 00:35:02,319
Speaker 1: gonna be a lot more diversity in the crops that

651
00:35:02,360 --> 00:35:05,400
Speaker 1: we grow. Um, you're looking at this right now, so impossible.

652
00:35:05,520 --> 00:35:07,759
Speaker 1: We've been around now for nine years, but we've been

653
00:35:07,760 --> 00:35:09,880
Speaker 1: in market lesson for and we put a lot of

654
00:35:09,880 --> 00:35:12,839
Speaker 1: research and developing this platform. In the last four years.

655
00:35:12,840 --> 00:35:14,600
Speaker 1: It went from a handful of company is working on

656
00:35:14,640 --> 00:35:18,200
Speaker 1: this two hundreds of probably thousands globally. And I think

657
00:35:18,239 --> 00:35:20,920
Speaker 1: what that that makes it? You know, that encourages me

658
00:35:20,960 --> 00:35:22,640
Speaker 1: a lot that you know, everybody's gonna be looking for

659
00:35:22,640 --> 00:35:25,719
Speaker 1: different solutions and creating different products. They're gonna hit, you know,

660
00:35:25,800 --> 00:35:28,399
Speaker 1: different parts of the needs for consumers. And I think

661
00:35:28,440 --> 00:35:30,359
Speaker 1: that if you look at none you bring that back

662
00:35:30,360 --> 00:35:33,600
Speaker 1: to the farm level. UM. Right now, there's not there's

663
00:35:33,640 --> 00:35:36,080
Speaker 1: not very many plant scale plant based crops, and the

664
00:35:36,120 --> 00:35:39,840
Speaker 1: scale plant based props were mostly done for animal consumption.

665
00:35:40,160 --> 00:35:42,440
Speaker 1: That's going to change, and so I think if I

666
00:35:42,480 --> 00:35:45,200
Speaker 1: go back to my farming life as a farmer, I

667
00:35:45,239 --> 00:35:47,120
Speaker 1: always say that, you know, farmers are some of our

668
00:35:47,160 --> 00:35:50,359
Speaker 1: probably the most entrepreneurial people in the world. Like you

669
00:35:50,440 --> 00:35:53,200
Speaker 1: have to make a business that's extremely hard and do

670
00:35:53,280 --> 00:35:56,520
Speaker 1: it with no money, so go and it's like, you know,

671
00:35:56,680 --> 00:35:59,000
Speaker 1: you know, farmers are always looking for the right opportunities,

672
00:35:59,040 --> 00:36:01,759
Speaker 1: are looking to produce food for people. And I think

673
00:36:01,800 --> 00:36:04,680
Speaker 1: there's gonna be a ton of opportunities to transform our

674
00:36:04,719 --> 00:36:10,000
Speaker 1: system and actually create a much more diverse, robust system

675
00:36:10,040 --> 00:36:11,920
Speaker 1: that we have today that is reliant on you know,

676
00:36:11,920 --> 00:36:16,480
Speaker 1: a few a handful of crops, gotch um. What's that?

677
00:36:16,600 --> 00:36:18,919
Speaker 1: You know, you're you came from a farming family. What's

678
00:36:19,040 --> 00:36:21,920
Speaker 1: what's the change in lifestyle? What's the change? And like

679
00:36:21,960 --> 00:36:24,279
Speaker 1: I said, if I picture, I just you know, I

680
00:36:24,360 --> 00:36:28,719
Speaker 1: picture a different landscape, a different way. I know, two

681
00:36:28,760 --> 00:36:31,200
Speaker 1: thirds of our of our nation is not arable, Like

682
00:36:31,280 --> 00:36:34,480
Speaker 1: we can't plan it, paint that, you know. I really

683
00:36:34,520 --> 00:36:36,560
Speaker 1: want to folks to be able to see kind of

684
00:36:36,600 --> 00:36:39,320
Speaker 1: what that life looks like. We'll probably all be virtual

685
00:36:39,360 --> 00:36:43,840
Speaker 1: reality by then. Anyway, I think it's important really for

686
00:36:43,880 --> 00:36:47,960
Speaker 1: people to understand the vision. Yeah, our our vision is

687
00:36:48,000 --> 00:36:50,799
Speaker 1: a lot of that land that's not planted, um, we

688
00:36:50,920 --> 00:36:54,000
Speaker 1: are still using somewhat in any way we possibly can

689
00:36:54,080 --> 00:36:56,879
Speaker 1: for agriculture because there's that much pressure on the land.

690
00:36:56,920 --> 00:37:00,160
Speaker 1: And I'm seeing places of like land that probably be

691
00:37:00,280 --> 00:37:02,400
Speaker 1: used that you know, the farmers admit in ten twenty

692
00:37:02,440 --> 00:37:03,759
Speaker 1: years the water has gone on the water and the

693
00:37:03,800 --> 00:37:06,520
Speaker 1: land's done, it's gonna be barren. And it's like, that's

694
00:37:06,520 --> 00:37:09,160
Speaker 1: what we cannot allow it to happen, and so we

695
00:37:09,200 --> 00:37:10,719
Speaker 1: have to take that pressure off and a lot of

696
00:37:10,719 --> 00:37:13,200
Speaker 1: that land should go back to native vegetation, which is

697
00:37:13,200 --> 00:37:15,120
Speaker 1: going to pull greenhouse gases out of the air. It's

698
00:37:15,120 --> 00:37:18,799
Speaker 1: gonna let natural wildlife come back. Um. And there's a

699
00:37:18,800 --> 00:37:22,120
Speaker 1: lot of studies showing that once you pull like land,

700
00:37:22,200 --> 00:37:25,319
Speaker 1: you know, out of like cultivation or use in agricultural

701
00:37:25,360 --> 00:37:27,640
Speaker 1: systems and you let it grow grow back, the ecosystem

702
00:37:27,680 --> 00:37:30,960
Speaker 1: does recover relatively quickly. And so I think that's why

703
00:37:31,160 --> 00:37:32,960
Speaker 1: I see there, And then you know, in the and

704
00:37:33,000 --> 00:37:35,319
Speaker 1: the agricultural sphere, I think it's going to be a

705
00:37:35,400 --> 00:37:39,160
Speaker 1: much wider diverse set of crops and opportunities, and I

706
00:37:39,200 --> 00:37:41,600
Speaker 1: think it can change really fastened because one of the

707
00:37:41,680 --> 00:37:44,560
Speaker 1: challenges of the animals too, is they just the system

708
00:37:44,560 --> 00:37:48,120
Speaker 1: moves very slow. You have to raise a beef cow

709
00:37:48,280 --> 00:37:53,080
Speaker 1: for sixteen to twenty months typically. Um, you know every

710
00:37:53,200 --> 00:37:55,160
Speaker 1: species is a bit different, but it's it's a very

711
00:37:55,200 --> 00:37:58,000
Speaker 1: slow process in general. With plants, you can go directly

712
00:37:58,040 --> 00:38:00,040
Speaker 1: to the crop that the animals eat. But now it

713
00:38:00,080 --> 00:38:01,400
Speaker 1: can take that and you can create a lot of

714
00:38:01,400 --> 00:38:04,719
Speaker 1: innovation from that and create a much more diverse set

715
00:38:04,719 --> 00:38:07,759
Speaker 1: of food opportunities and foods for people. And like what

716
00:38:07,840 --> 00:38:09,720
Speaker 1: you love and what I love is going to be different,

717
00:38:10,120 --> 00:38:12,160
Speaker 1: and I think we're gonna have a lot more ability

718
00:38:12,160 --> 00:38:15,360
Speaker 1: to cater the agricultural system and the products to what

719
00:38:15,440 --> 00:38:18,880
Speaker 1: consumers really want. Yeah, this is you know this this

720
00:38:19,200 --> 00:38:22,160
Speaker 1: brings to mind things like regenerative agriculture and no till

721
00:38:22,239 --> 00:38:25,719
Speaker 1: drilling and really soil ecology. Do you guys think much

722
00:38:25,760 --> 00:38:28,160
Speaker 1: about that and and think about like the implication of

723
00:38:28,160 --> 00:38:32,600
Speaker 1: expanding conventional agriculture. I think the that is, I mean

724
00:38:32,800 --> 00:38:35,319
Speaker 1: somewhat the impetus of you know, why we exist. We

725
00:38:35,400 --> 00:38:38,279
Speaker 1: can't continue to expand the conventional agricultural system the way

726
00:38:38,320 --> 00:38:40,680
Speaker 1: we have. We're already using a lot of marginal land

727
00:38:40,680 --> 00:38:42,719
Speaker 1: that really shouldn't be used for that. So, I mean

728
00:38:42,760 --> 00:38:46,120
Speaker 1: all the global like prime land areas are typically already

729
00:38:46,120 --> 00:38:49,400
Speaker 1: in agriculture, and a lot of those probably even shouldn't be,

730
00:38:49,400 --> 00:38:51,640
Speaker 1: and it would be ideally ideal to get those back

731
00:38:51,680 --> 00:38:54,839
Speaker 1: into some sort of native vegetation. I think, you know,

732
00:38:54,920 --> 00:38:58,399
Speaker 1: for us, things like regenerative agriculture, there might be some

733
00:38:58,440 --> 00:39:01,279
Speaker 1: small benefits to compared to the inventional system, but it's

734
00:39:01,280 --> 00:39:04,720
Speaker 1: still very fundamentally flawed. The use of animals to produce

735
00:39:04,800 --> 00:39:06,960
Speaker 1: food and for humans at this scale is just a

736
00:39:07,000 --> 00:39:10,160
Speaker 1: fundamentally flawed idea. UM. And then I grew up in

737
00:39:10,160 --> 00:39:12,520
Speaker 1: that system, and I and I realized that, and even

738
00:39:12,640 --> 00:39:14,719
Speaker 1: being in that system, I didn't I didn't realize how

739
00:39:15,000 --> 00:39:17,000
Speaker 1: flawed it was at the time. But looking back at it,

740
00:39:17,000 --> 00:39:19,080
Speaker 1: it's like, you know, it's pretty clear it can be

741
00:39:19,200 --> 00:39:20,880
Speaker 1: a way of life for farmers, and that's what it

742
00:39:21,000 --> 00:39:23,160
Speaker 1: was from my family, and I think that's why it's

743
00:39:23,280 --> 00:39:25,640
Speaker 1: really on us to to continue to help the whole

744
00:39:25,680 --> 00:39:29,719
Speaker 1: agricultural system evolved with us as we grow. UM. But

745
00:39:29,840 --> 00:39:32,600
Speaker 1: as a production technology, it's just very inefficient, it's dirty,

746
00:39:32,600 --> 00:39:35,919
Speaker 1: and it's you know, very unsafe too, compared to other

747
00:39:35,920 --> 00:39:38,520
Speaker 1: stuff that we can do. Yeah, we could be on

748
00:39:38,520 --> 00:39:41,200
Speaker 1: this forever, but only a few a few more minutes

749
00:39:41,239 --> 00:39:43,719
Speaker 1: with you, So we'll keep keep moving through these questions

750
00:39:44,320 --> 00:39:48,040
Speaker 1: for you. But I think when we talk about your

751
00:39:48,080 --> 00:39:52,359
Speaker 1: products specifically, UM, because I think, yeah, a lot of

752
00:39:52,360 --> 00:39:54,600
Speaker 1: what you said will resonate with people in terms of

753
00:39:54,640 --> 00:39:57,400
Speaker 1: the issues with our food systems and and it's been

754
00:39:57,480 --> 00:40:01,000
Speaker 1: laid bare with our COVID nineteen crisis as well. UM.

755
00:40:01,040 --> 00:40:04,200
Speaker 1: But you know, like what is the intention and even

756
00:40:04,239 --> 00:40:07,279
Speaker 1: maybe the justification for terms US in terms like meat

757
00:40:08,239 --> 00:40:10,120
Speaker 1: and beef and pork and things that you guys do

758
00:40:10,160 --> 00:40:13,440
Speaker 1: in your marketing and really the whole, the whole idea

759
00:40:13,480 --> 00:40:16,600
Speaker 1: of the company is around this replacement therapy in a

760
00:40:16,640 --> 00:40:20,520
Speaker 1: way for for folks that you meet currently. Yeah, I

761
00:40:20,560 --> 00:40:23,239
Speaker 1: think the the you know, the terms beef and pork

762
00:40:23,360 --> 00:40:26,040
Speaker 1: is a is an experience, and so you know what

763
00:40:26,160 --> 00:40:28,280
Speaker 1: the experience you're kind of looking for as a consumer

764
00:40:28,920 --> 00:40:31,359
Speaker 1: for US is. UM. I don't know if you've had

765
00:40:31,400 --> 00:40:34,400
Speaker 1: that impossible in retail yet, UM, but it's like, you know,

766
00:40:34,440 --> 00:40:36,640
Speaker 1: the fastest part drawing part of our business and you'll

767
00:40:36,640 --> 00:40:39,320
Speaker 1: look and it's like it's impossible, burger made from plants

768
00:40:39,920 --> 00:40:42,160
Speaker 1: and it's in very big bold text and I think

769
00:40:42,200 --> 00:40:44,840
Speaker 1: it's really important for us the message that our products

770
00:40:45,000 --> 00:40:47,480
Speaker 1: you know, are coming from plants, because it is a

771
00:40:47,520 --> 00:40:49,840
Speaker 1: big part of the value proposition, and it also helps

772
00:40:49,920 --> 00:40:53,200
Speaker 1: us continue to spread the message that hey, you really

773
00:40:53,200 --> 00:40:56,200
Speaker 1: don't need to get that experience from an animal. We

774
00:40:56,200 --> 00:40:59,400
Speaker 1: can give you that same experience without the environmental challenges

775
00:41:00,239 --> 00:41:03,719
Speaker 1: with a much more nutritious profile. And I think that's

776
00:41:03,719 --> 00:41:06,880
Speaker 1: a key message that you have now. From a messaging side,

777
00:41:07,040 --> 00:41:09,200
Speaker 1: you know, people are looking as, okay, if if we're

778
00:41:09,200 --> 00:41:10,920
Speaker 1: going to create something, we could ask this question all

779
00:41:10,960 --> 00:41:13,040
Speaker 1: the time. I was like, why don't you create something

780
00:41:13,040 --> 00:41:15,480
Speaker 1: like completely new to the world that no one's ever

781
00:41:15,520 --> 00:41:18,560
Speaker 1: had before. And it's like, eventually, yes, you're totally right,

782
00:41:18,680 --> 00:41:20,960
Speaker 1: we will do that because we can do that, but

783
00:41:21,040 --> 00:41:24,360
Speaker 1: it's harder to train and like help consumers and chefs

784
00:41:24,440 --> 00:41:27,880
Speaker 1: and distributors ever we understand what products are if they

785
00:41:27,880 --> 00:41:29,920
Speaker 1: don't have some sort of proxy to equate it too,

786
00:41:30,640 --> 00:41:32,200
Speaker 1: and so you kind of start with that proxy to

787
00:41:32,239 --> 00:41:34,680
Speaker 1: equate it too. It's a it's a set market. You know.

788
00:41:34,719 --> 00:41:37,080
Speaker 1: The ground beef market obviously in the US is massive,

789
00:41:37,120 --> 00:41:39,759
Speaker 1: and globally ground meets are huge, and so you have

790
00:41:39,760 --> 00:41:42,200
Speaker 1: a set market where you know, consumers are looking for

791
00:41:42,239 --> 00:41:44,720
Speaker 1: an experience like that, and so it's a good starting

792
00:41:44,760 --> 00:41:47,440
Speaker 1: point before you get to creating something completely new that

793
00:41:48,200 --> 00:41:49,799
Speaker 1: I don't know, maybe what what do you want? Is

794
00:41:49,800 --> 00:41:52,359
Speaker 1: there something like crazy out there that you'd love to have? Man?

795
00:41:52,480 --> 00:41:54,719
Speaker 1: You know, like, well, we talked about this is one

796
00:41:54,719 --> 00:41:56,720
Speaker 1: thing we talked about. I, like I said at the beginning,

797
00:41:57,080 --> 00:41:59,840
Speaker 1: I talked about this a couple of like a dozen

798
00:42:00,000 --> 00:42:02,080
Speaker 1: episodes ago with the founder of our company, companies called

799
00:42:02,120 --> 00:42:04,000
Speaker 1: meat Eater. So I love I like where we are

800
00:42:04,680 --> 00:42:08,560
Speaker 1: um with our founder Steve and Ronnella, and we both said,

801
00:42:08,600 --> 00:42:13,520
Speaker 1: you know, kind of simultaneously thought listen, as a hunter, um,

802
00:42:13,640 --> 00:42:18,120
Speaker 1: I prefer I prefer things that are good for ecosystems

803
00:42:18,120 --> 00:42:20,360
Speaker 1: and natural habitats because I need that. I need that

804
00:42:20,440 --> 00:42:24,239
Speaker 1: for the animals that are my source of protein. We

805
00:42:24,320 --> 00:42:27,120
Speaker 1: have a different supply chain's hunters. The supply chain is

806
00:42:27,239 --> 00:42:31,960
Speaker 1: healthy ecosystems, federal agencies to manage wildlife populations, and our

807
00:42:32,000 --> 00:42:35,000
Speaker 1: ability to access wild places, so that that's our supply systems.

808
00:42:35,040 --> 00:42:37,120
Speaker 1: So we do there is a connection there to healthy

809
00:42:37,120 --> 00:42:40,560
Speaker 1: ecosystems and land and water, clean land and clean water

810
00:42:41,520 --> 00:42:44,200
Speaker 1: for us to recreate but also to get our source

811
00:42:44,239 --> 00:42:47,040
Speaker 1: of food. And so for us it's if we're if

812
00:42:47,080 --> 00:42:49,400
Speaker 1: we're not getting we're so in. I've been doing this

813
00:42:49,440 --> 00:42:52,399
Speaker 1: for decades and so as Steve. If we're not going

814
00:42:52,440 --> 00:42:54,839
Speaker 1: to get our meat from that source, we would much

815
00:42:55,000 --> 00:42:59,960
Speaker 1: rather shirk you know, the factory farming, shirk um proxy

816
00:43:00,200 --> 00:43:03,200
Speaker 1: meat suppliers and either go you know what, I would

817
00:43:03,239 --> 00:43:05,720
Speaker 1: go to a local butcher or go to a local

818
00:43:05,800 --> 00:43:07,920
Speaker 1: co op, or get the meat out of the woods.

819
00:43:08,000 --> 00:43:11,200
Speaker 1: That's this is what what I feel. And so with

820
00:43:11,239 --> 00:43:14,560
Speaker 1: your product, my thing is I I want a good

821
00:43:14,600 --> 00:43:18,000
Speaker 1: faith representation of what this is. I would rather eat

822
00:43:18,080 --> 00:43:20,320
Speaker 1: a plant based meat that is healthier for me and

823
00:43:21,680 --> 00:43:24,719
Speaker 1: has nutrits and is good for the environment then eat

824
00:43:24,840 --> 00:43:28,279
Speaker 1: meat from a factory farm. But it just feels it

825
00:43:28,320 --> 00:43:31,680
Speaker 1: feels disingenuous, to be quite honest, and it feels like

826
00:43:31,719 --> 00:43:34,400
Speaker 1: you're maybe playing down to the consumer rather than playing

827
00:43:34,440 --> 00:43:38,799
Speaker 1: up to the aspiration. Yeah, and we it's um, it's

828
00:43:38,840 --> 00:43:40,839
Speaker 1: very important to play up to the aspiration. I think

829
00:43:40,880 --> 00:43:42,960
Speaker 1: you have to be careful a bit to not be

830
00:43:43,000 --> 00:43:46,080
Speaker 1: too preachy. And what and what you're doing is because

831
00:43:46,160 --> 00:43:49,520
Speaker 1: us we're offering a solution. We're offering a great product

832
00:43:50,320 --> 00:43:53,400
Speaker 1: for consumers to enjoy, and that's what's going to drive

833
00:43:54,000 --> 00:43:57,359
Speaker 1: the transformation more than anything else. And so it has

834
00:43:57,400 --> 00:44:01,160
Speaker 1: to be around great products first that consumers feel comfortable with.

835
00:44:01,239 --> 00:44:02,759
Speaker 1: And you know what, a lot of what we do

836
00:44:02,840 --> 00:44:05,880
Speaker 1: and why we do even podcasts like this, is to

837
00:44:05,920 --> 00:44:08,680
Speaker 1: help people understand what we're doing, why we're doing, and

838
00:44:08,719 --> 00:44:11,600
Speaker 1: how we do it. Like we have people come into

839
00:44:11,600 --> 00:44:14,440
Speaker 1: our reporters, come into our production site and video like

840
00:44:14,520 --> 00:44:17,880
Speaker 1: videotape the entire production line, and it's like we do

841
00:44:17,960 --> 00:44:20,440
Speaker 1: that because one, we're really proud of it. We're very

842
00:44:20,440 --> 00:44:22,440
Speaker 1: proud of what we do, and we want to you know,

843
00:44:22,560 --> 00:44:24,880
Speaker 1: debunk some of the myths and the questions and everything

844
00:44:24,880 --> 00:44:27,399
Speaker 1: else that everybody has because it is you know, it's

845
00:44:27,480 --> 00:44:31,040
Speaker 1: it's different than the traditional meat production system, and so

846
00:44:31,120 --> 00:44:34,919
Speaker 1: it is our job to help educate you and all consumers. Yeah,

847
00:44:35,040 --> 00:44:37,200
Speaker 1: like I said, you have an interested consumer in me.

848
00:44:37,239 --> 00:44:41,000
Speaker 1: I'm not against against the product at all. Um I

849
00:44:41,200 --> 00:44:44,320
Speaker 1: just if you guys have any like FOS focus groups

850
00:44:44,320 --> 00:44:45,520
Speaker 1: and you want to tell them what I said, just

851
00:44:45,560 --> 00:44:48,239
Speaker 1: tell them like I'm looking for the future product that

852
00:44:48,239 --> 00:44:51,040
Speaker 1: you're going to make that says like plants slab whatever,

853
00:44:51,120 --> 00:44:54,840
Speaker 1: probably come up with a better name than that, I could,

854
00:44:55,960 --> 00:44:59,200
Speaker 1: I trust you. Um, that really just connects with me

855
00:44:59,239 --> 00:45:01,880
Speaker 1: on an intellectual level. You know, what you're what you're proposing,

856
00:45:01,880 --> 00:45:04,839
Speaker 1: as you well know is is a gigantic shift in

857
00:45:04,880 --> 00:45:06,840
Speaker 1: our and not only the way that we treat the

858
00:45:06,880 --> 00:45:11,080
Speaker 1: world and feed ourselves, but in our humanity um as well.

859
00:45:11,360 --> 00:45:13,040
Speaker 1: And I think it's nice to it is nice to

860
00:45:13,040 --> 00:45:15,560
Speaker 1: hear that you guys necessarily aren't saying everybody stop eating

861
00:45:15,560 --> 00:45:20,239
Speaker 1: me tomorrow, um and making that argument based on sentience

862
00:45:20,280 --> 00:45:24,279
Speaker 1: and some of the ideas of of of veganism. But

863
00:45:24,360 --> 00:45:26,319
Speaker 1: I mean, all that stuff gets gets kind of mixed

864
00:45:26,360 --> 00:45:29,080
Speaker 1: together here, I think for most regular folks that are

865
00:45:29,120 --> 00:45:31,680
Speaker 1: listening to what you're saying. So how do you how

866
00:45:31,680 --> 00:45:34,080
Speaker 1: do you kind of walk people through that We're not

867
00:45:34,200 --> 00:45:36,240
Speaker 1: you know, you're we're not gonna outlaw meat for everybody,

868
00:45:36,280 --> 00:45:37,960
Speaker 1: so you eat our product, But we're trying to give

869
00:45:37,960 --> 00:45:40,040
Speaker 1: you an alternatives, which is what I'm hearing from you,

870
00:45:40,040 --> 00:45:42,600
Speaker 1: and I'm happy to hear that. And that's that's the

871
00:45:42,600 --> 00:45:44,520
Speaker 1: only way we're not going to tell people to stop

872
00:45:44,520 --> 00:45:49,120
Speaker 1: eating meat. I mean food and enjoyment and like nutrition,

873
00:45:49,160 --> 00:45:52,040
Speaker 1: all that stuff goes together. You can't change culture that fast,

874
00:45:52,080 --> 00:45:54,200
Speaker 1: and I think it's it's it wouldn't be the right

875
00:45:54,200 --> 00:45:56,000
Speaker 1: way to just go out there and say everybody stop

876
00:45:56,000 --> 00:45:58,359
Speaker 1: eating meat. Honestly, it's not going to accomplish what we're

877
00:45:58,360 --> 00:46:00,160
Speaker 1: trying to do. And you know, some countries have try that.

878
00:46:01,040 --> 00:46:03,959
Speaker 1: Some countries have actually said, as are we want everybody

879
00:46:04,320 --> 00:46:07,600
Speaker 1: less meat than It hasn't changed, and the only way

880
00:46:07,640 --> 00:46:09,600
Speaker 1: to change this is the produced products that are better,

881
00:46:09,640 --> 00:46:13,120
Speaker 1: and better means more delicious, and we're getting better every day.

882
00:46:13,480 --> 00:46:15,880
Speaker 1: We're essentially getting to the point we're almost caught up

883
00:46:15,920 --> 00:46:18,080
Speaker 1: to the cow. So in blind taste tests it's head

884
00:46:18,080 --> 00:46:20,279
Speaker 1: on head um, but we're going to pass the cow

885
00:46:20,520 --> 00:46:23,759
Speaker 1: than more nutritious, which we can do because we have

886
00:46:23,760 --> 00:46:25,799
Speaker 1: a lot more control, Like an animal is not made

887
00:46:25,800 --> 00:46:27,880
Speaker 1: to make food and they can't really change the nutrition.

888
00:46:28,280 --> 00:46:30,839
Speaker 1: You know, we can continue to make our products even

889
00:46:30,880 --> 00:46:32,640
Speaker 1: more and more nutricious as we go, and then as

890
00:46:32,680 --> 00:46:35,440
Speaker 1: we scale. We're still small compared to of course industrial

891
00:46:35,440 --> 00:46:38,920
Speaker 1: agricultural system around meat, but we're so much more efficient.

892
00:46:38,920 --> 00:46:42,120
Speaker 1: We have be more affordable and then once all those

893
00:46:42,239 --> 00:46:44,319
Speaker 1: come into play, and then of course more sustainable. But

894
00:46:44,360 --> 00:46:47,080
Speaker 1: that's kind of a no brainer at this point, and

895
00:46:47,080 --> 00:46:48,920
Speaker 1: all those come in. It's a very easy choice for

896
00:46:48,920 --> 00:46:50,880
Speaker 1: the consumer. And that's our job is to make it

897
00:46:50,880 --> 00:46:52,959
Speaker 1: a very easy choice and give them, you know, more

898
00:46:53,040 --> 00:46:56,319
Speaker 1: value and what you eat. Yeah, yeah, well I think

899
00:46:56,360 --> 00:46:59,279
Speaker 1: that makes a ton of sense. The big the other

900
00:46:59,280 --> 00:47:03,600
Speaker 1: thing for me is, um, you guys and you said this,

901
00:47:03,719 --> 00:47:05,960
Speaker 1: A lot of you guys are in it for in

902
00:47:06,040 --> 00:47:07,640
Speaker 1: it to change the world and to change how we

903
00:47:07,719 --> 00:47:11,000
Speaker 1: approach things. That's a that's a big challenge. Does that

904
00:47:11,040 --> 00:47:13,560
Speaker 1: ever come in your you know, long time with the

905
00:47:13,600 --> 00:47:17,360
Speaker 1: companies that come up against the scalability of a product,

906
00:47:17,360 --> 00:47:19,200
Speaker 1: come against the quality of the product, did you guys

907
00:47:19,200 --> 00:47:21,560
Speaker 1: ever have to cut corners? I know there's been this

908
00:47:21,640 --> 00:47:23,839
Speaker 1: is I've read a lot where people are accusing you

909
00:47:23,920 --> 00:47:26,640
Speaker 1: of this. There was a writer I read. I wrote

910
00:47:26,640 --> 00:47:28,720
Speaker 1: this down, this guy, Mark Bittman, who was a popular

911
00:47:28,719 --> 00:47:30,759
Speaker 1: food writer. I was reading some of his stuff. He

912
00:47:30,800 --> 00:47:32,719
Speaker 1: was a New York Times columnists for a while. He's

913
00:47:32,760 --> 00:47:35,600
Speaker 1: been pushing Americans eat let's meat for some time. He

914
00:47:35,640 --> 00:47:39,400
Speaker 1: said that he criticized meats like impossible meat. He said,

915
00:47:39,400 --> 00:47:42,239
Speaker 1: the it's the new higher tech vegan meats. They don't

916
00:47:42,280 --> 00:47:46,240
Speaker 1: address the resource use and hyper processing UM and processed

917
00:47:46,280 --> 00:47:48,200
Speaker 1: food is a is a term that's thrown around quite

918
00:47:48,239 --> 00:47:51,879
Speaker 1: a lot. How do you guys think about scalability save

919
00:47:51,960 --> 00:47:55,319
Speaker 1: the world versus give people a healthy option here? Don't

920
00:47:55,360 --> 00:47:59,319
Speaker 1: cut corners? Well, I think they're you're always optimizing for

921
00:47:59,480 --> 00:48:02,120
Speaker 1: multiple actors. You can't just consume one and you can

922
00:48:02,120 --> 00:48:07,400
Speaker 1: create the most healthy, nutritious like like almost like medicine

923
00:48:07,440 --> 00:48:11,120
Speaker 1: and a Burger patty effectively solution and no one's gonna

924
00:48:11,160 --> 00:48:13,200
Speaker 1: eat it because it tastes it is probably gonna taste horrible.

925
00:48:13,360 --> 00:48:15,440
Speaker 1: It's like, that's not gonna get you anywhere. You can

926
00:48:15,480 --> 00:48:17,960
Speaker 1: make something that's really bad for people that tastes amazing,

927
00:48:18,000 --> 00:48:19,799
Speaker 1: and now that I also don't think that's gonna get

928
00:48:19,800 --> 00:48:22,640
Speaker 1: you anywhere. And so we follow some very basic principles

929
00:48:22,680 --> 00:48:24,520
Speaker 1: as a company that you know we adhere to is

930
00:48:24,920 --> 00:48:27,600
Speaker 1: you know, the products that we we produce will be

931
00:48:27,800 --> 00:48:30,920
Speaker 1: as nutrition or more nutritious and healthy than what replace

932
00:48:31,560 --> 00:48:34,400
Speaker 1: Our team is. We have more than a scientists working

933
00:48:34,480 --> 00:48:37,520
Speaker 1: on the development and the healthy nutrition and everything of

934
00:48:37,520 --> 00:48:40,520
Speaker 1: the product every day. Um. Now, it doesn't mean it's

935
00:48:40,520 --> 00:48:43,319
Speaker 1: going to be like a kale salad um. It's like

936
00:48:43,320 --> 00:48:44,880
Speaker 1: if you want to have a kale salad, you know,

937
00:48:45,400 --> 00:48:47,719
Speaker 1: more more power to you. But that's not really what

938
00:48:47,800 --> 00:48:50,080
Speaker 1: consumers are necessarily looking for. And so I think we're

939
00:48:50,120 --> 00:48:54,520
Speaker 1: always balancing all the sensory property you need between taste, texture, aroma,

940
00:48:55,400 --> 00:48:59,319
Speaker 1: versatilities you cook, the nutritional properties and scalability. If we

941
00:48:59,360 --> 00:49:01,680
Speaker 1: produce a product that you can't actually produce and feed

942
00:49:01,719 --> 00:49:03,840
Speaker 1: more than five people, that also doesn't do do you

943
00:49:03,880 --> 00:49:06,359
Speaker 1: any good. And so all those factors have to come

944
00:49:06,400 --> 00:49:09,400
Speaker 1: into play and work together. And the truth, like the

945
00:49:09,680 --> 00:49:12,200
Speaker 1: food system itself right now, it's going to change a lot,

946
00:49:12,920 --> 00:49:15,080
Speaker 1: and it can't change a lot over over time. Is

947
00:49:15,280 --> 00:49:21,399
Speaker 1: we have ideas and technologies of how to scale even

948
00:49:21,440 --> 00:49:25,680
Speaker 1: more nutritious, better crops for farmers, but it takes years

949
00:49:25,680 --> 00:49:28,719
Speaker 1: and years to build new supply chains. And if we're

950
00:49:28,719 --> 00:49:30,320
Speaker 1: going to wait for that and then we're going to

951
00:49:30,400 --> 00:49:32,040
Speaker 1: be missing out on a lot of the opportunity the

952
00:49:32,080 --> 00:49:35,040
Speaker 1: impact that we have on people's lives. And it's like

953
00:49:35,080 --> 00:49:37,240
Speaker 1: our job is to have that positive impact on people's

954
00:49:37,239 --> 00:49:40,120
Speaker 1: lives as soon as we can. Yeah, do you do

955
00:49:40,160 --> 00:49:43,880
Speaker 1: you guys, you know, think about um the future in

956
00:49:43,880 --> 00:49:46,440
Speaker 1: that way? Do you think about if you had to

957
00:49:46,520 --> 00:49:48,919
Speaker 1: hedge in one direction or the other. As you try

958
00:49:48,960 --> 00:49:52,240
Speaker 1: to make these vast changes, you hedge towards the scalability.

959
00:49:52,239 --> 00:49:54,200
Speaker 1: Would you say, like, I would much rather have more

960
00:49:54,200 --> 00:49:59,600
Speaker 1: out there and figure out additional vitamins or additional nutrients

961
00:49:59,719 --> 00:50:01,840
Speaker 1: or in a way to make this healthy, because it

962
00:50:01,840 --> 00:50:05,160
Speaker 1: certainly seems that way. I don't think of Burger King

963
00:50:05,239 --> 00:50:07,520
Speaker 1: is a place that's trying to make me healthy necessarily.

964
00:50:07,560 --> 00:50:09,439
Speaker 1: I mean, they every once in a while they dip

965
00:50:09,440 --> 00:50:12,560
Speaker 1: into that world, and so there's some cognitive dissonance for

966
00:50:12,680 --> 00:50:15,000
Speaker 1: me in terms of being in Burger King and then

967
00:50:15,560 --> 00:50:18,399
Speaker 1: trying to feed the world um in a different way.

968
00:50:18,800 --> 00:50:20,440
Speaker 1: And I think that's something when I talked to a

969
00:50:20,440 --> 00:50:22,319
Speaker 1: lot of my friends, a lot of my colleagues, and

970
00:50:22,320 --> 00:50:24,600
Speaker 1: people that were just interested in talking to a guy

971
00:50:24,640 --> 00:50:26,560
Speaker 1: like you. I think that's a big part of it is,

972
00:50:26,560 --> 00:50:31,200
Speaker 1: is getting across the threshold of yes, going into burger King,

973
00:50:31,239 --> 00:50:35,280
Speaker 1: I'm sure replaced a lot of of factory farm meats

974
00:50:35,360 --> 00:50:39,200
Speaker 1: hitting the table or hitting the wrapper of an American consumer.

975
00:50:39,600 --> 00:50:42,120
Speaker 1: But at the same time, you're partnering with a brand

976
00:50:43,000 --> 00:50:45,200
Speaker 1: that ain't that that ain't the most high minded when

977
00:50:45,239 --> 00:50:48,920
Speaker 1: it comes to feeding people. Well, I think it's for

978
00:50:49,000 --> 00:50:51,000
Speaker 1: us are certain things in that that we can control

979
00:50:51,040 --> 00:50:54,080
Speaker 1: and we can help and we'll push forward. So like

980
00:50:54,239 --> 00:50:56,840
Speaker 1: of our products you know are probably directly um we

981
00:50:57,000 --> 00:51:03,360
Speaker 1: have uh less fat less saturated fat um more are

982
00:51:03,360 --> 00:51:05,120
Speaker 1: sent to the same amount of protein, the same amount

983
00:51:05,120 --> 00:51:07,799
Speaker 1: of bile build by available protein human is iron, which

984
00:51:07,840 --> 00:51:10,319
Speaker 1: is the most by available in the human diet. We

985
00:51:10,360 --> 00:51:12,680
Speaker 1: put all the micronutrients of vitamins and minerals in you

986
00:51:12,719 --> 00:51:15,480
Speaker 1: expect to get from meat. Then we don't have any cholesterol,

987
00:51:15,600 --> 00:51:17,920
Speaker 1: hormones and antibiotics and you know many other things that

988
00:51:17,960 --> 00:51:19,440
Speaker 1: you really don't want to get from meat that just

989
00:51:19,520 --> 00:51:21,880
Speaker 1: happened to be there, you know, as a as a

990
00:51:21,920 --> 00:51:24,279
Speaker 1: product team, and we're going to produce that. That's what

991
00:51:24,320 --> 00:51:26,520
Speaker 1: we can control. Now. If you look at a place

992
00:51:26,520 --> 00:51:29,480
Speaker 1: like Burger King, it's a great opportunity to reach consumers

993
00:51:30,160 --> 00:51:32,960
Speaker 1: um that are already going to Burger King, and if

994
00:51:32,960 --> 00:51:35,239
Speaker 1: we can give them something that is better than what

995
00:51:35,480 --> 00:51:38,640
Speaker 1: is there before, that's a win. Um. You know is

996
00:51:38,800 --> 00:51:41,480
Speaker 1: you know, you know major fast food, the proponent of

997
00:51:41,520 --> 00:51:45,560
Speaker 1: healthy diets in the world. No, I mean that's that's

998
00:51:45,600 --> 00:51:48,959
Speaker 1: typically not not the essentially the main emmal of course

999
00:51:48,960 --> 00:51:51,560
Speaker 1: they are getting you'll see all of them getting more

1000
00:51:51,600 --> 00:51:54,080
Speaker 1: into the healthy lifestyles over time as consumers want it.

1001
00:51:54,600 --> 00:51:55,719
Speaker 1: But at the end of the day, I think it

1002
00:51:55,760 --> 00:51:59,160
Speaker 1: comes down to helping consumers drive the change, because you know,

1003
00:51:59,200 --> 00:52:02,160
Speaker 1: businesses are all gonna be looking to, like, you know,

1004
00:52:02,360 --> 00:52:04,719
Speaker 1: build their business, and if consumers want to change, drive

1005
00:52:04,760 --> 00:52:07,840
Speaker 1: the change to choose for that, choose the more healthy options.

1006
00:52:07,920 --> 00:52:10,640
Speaker 1: That helps the industry evolve with it. And that's part

1007
00:52:10,680 --> 00:52:12,839
Speaker 1: of our job is to create probably that are more

1008
00:52:13,080 --> 00:52:16,359
Speaker 1: more nutritious and then it'll help consumers then come along

1009
00:52:16,400 --> 00:52:18,120
Speaker 1: that path with us and then help the rest of

1010
00:52:18,120 --> 00:52:21,040
Speaker 1: the system change too. But you know, coming back to

1011
00:52:21,080 --> 00:52:26,239
Speaker 1: the agricultural system to you can't change everything at once. Yeah. Yeah,

1012
00:52:27,160 --> 00:52:29,640
Speaker 1: it feels like I said, it feels like the hedge,

1013
00:52:29,880 --> 00:52:31,680
Speaker 1: And I think that's what you're saying, like the hedges

1014
00:52:31,800 --> 00:52:35,520
Speaker 1: towards getting it out into end, letting the consumers make

1015
00:52:35,520 --> 00:52:39,800
Speaker 1: a choice. It's you know, I think that the we

1016
00:52:39,840 --> 00:52:41,600
Speaker 1: should talk a little bit about the shortage that you

1017
00:52:41,600 --> 00:52:44,560
Speaker 1: guys had, just because as we as I try to

1018
00:52:44,600 --> 00:52:47,400
Speaker 1: picture and people try to wrap their heads around this,

1019
00:52:47,440 --> 00:52:52,799
Speaker 1: I think those are important points. Um, how much how

1020
00:52:52,880 --> 00:52:55,080
Speaker 1: much are you guys really working to make this the

1021
00:52:55,080 --> 00:52:57,640
Speaker 1: healthiest thing possible. I don't know that I could eat

1022
00:52:58,800 --> 00:53:00,239
Speaker 1: I don't know. You may answer this, I don't those

1023
00:53:00,239 --> 00:53:03,560
Speaker 1: for sure that I could eat two impossible burgers a

1024
00:53:03,640 --> 00:53:06,680
Speaker 1: day from Burger King and still and be a healthy person.

1025
00:53:06,760 --> 00:53:08,800
Speaker 1: I don't know that. It doesn't seem like I could.

1026
00:53:09,120 --> 00:53:11,160
Speaker 1: I've not tried it. But like, how do you guys

1027
00:53:11,200 --> 00:53:15,000
Speaker 1: look at that part? Well, I think too to your

1028
00:53:15,320 --> 00:53:18,120
Speaker 1: per point, I like scalability. And you know the shortage

1029
00:53:18,120 --> 00:53:20,640
Speaker 1: that we had in two thousand nineteen. Um, you know,

1030
00:53:20,680 --> 00:53:23,719
Speaker 1: our sales took off much faster than we had predicted

1031
00:53:24,080 --> 00:53:26,560
Speaker 1: and we essentially ended up, you know, in somewhat breaking

1032
00:53:26,560 --> 00:53:29,160
Speaker 1: our system. And so we had our open facility running

1033
00:53:29,160 --> 00:53:32,120
Speaker 1: our opland facility of scaling up and it became very

1034
00:53:32,160 --> 00:53:34,520
Speaker 1: clear and we just, um, you don't think, get quite

1035
00:53:34,520 --> 00:53:37,040
Speaker 1: ahead of it as much as we needed to. And

1036
00:53:37,080 --> 00:53:39,359
Speaker 1: so now we have a couple of lines at our

1037
00:53:39,400 --> 00:53:42,520
Speaker 1: open site. We have a partnership with a group called

1038
00:53:42,520 --> 00:53:44,840
Speaker 1: O s I. And you know, coming back to like,

1039
00:53:44,880 --> 00:53:47,120
Speaker 1: you know, systems and systems change. You know, O s

1040
00:53:47,160 --> 00:53:50,000
Speaker 1: I is one of the largest meat manufacturers in the world.

1041
00:53:50,520 --> 00:53:53,879
Speaker 1: They have sixty five production sites and you know, our

1042
00:53:53,880 --> 00:53:56,880
Speaker 1: process was able to work with their process, you know,

1043
00:53:56,920 --> 00:54:00,239
Speaker 1: pretty interchangeably, and so we have dedicated lines there. Now

1044
00:54:00,560 --> 00:54:03,520
Speaker 1: you know, multiple factories, and that's that's how you scale

1045
00:54:03,520 --> 00:54:05,160
Speaker 1: and I and we in order to do this, I mean,

1046
00:54:05,200 --> 00:54:08,399
Speaker 1: we essentially need to double production in almost every year. Yeah,

1047
00:54:08,480 --> 00:54:10,840
Speaker 1: and so we're putting a lot of effort into building

1048
00:54:10,840 --> 00:54:14,640
Speaker 1: a really scalable supply chain, scalable production system to be

1049
00:54:14,680 --> 00:54:17,040
Speaker 1: able to do that. And as a young you know,

1050
00:54:17,080 --> 00:54:19,880
Speaker 1: a young growing company I've been part of you know,

1051
00:54:19,920 --> 00:54:23,359
Speaker 1: many young growing food companies, whether directly or indirectly, and

1052
00:54:23,440 --> 00:54:26,359
Speaker 1: production challenges hit pretty much every one of them because

1053
00:54:26,360 --> 00:54:29,359
Speaker 1: you're you're you're creating a physical good, right and you're

1054
00:54:29,400 --> 00:54:30,960
Speaker 1: not going to take shortcuts. And how you create a

1055
00:54:30,960 --> 00:54:34,120
Speaker 1: physical good, your safety measures your quality. You have to

1056
00:54:34,160 --> 00:54:36,719
Speaker 1: maintain that top match no matter what, because that's what

1057
00:54:36,760 --> 00:54:39,440
Speaker 1: you're giving that experience to consumers, and that's something you

1058
00:54:39,440 --> 00:54:42,919
Speaker 1: can't compromise on. And for us, it's like we, yes,

1059
00:54:43,000 --> 00:54:44,800
Speaker 1: it was painful to go through the store. Is definitely

1060
00:54:44,840 --> 00:54:47,960
Speaker 1: painful our for our customers and our consumers, but we're

1061
00:54:47,960 --> 00:54:49,359
Speaker 1: going to make the trade off to make sure we're

1062
00:54:49,520 --> 00:54:53,919
Speaker 1: proucing the top quality product all the time. Yeah. Cool, Well,

1063
00:54:54,000 --> 00:54:56,160
Speaker 1: I think we're close to being let you go here.

1064
00:54:56,200 --> 00:54:58,479
Speaker 1: But before, right before I let you go, I think

1065
00:54:59,120 --> 00:55:03,080
Speaker 1: I've had We had a vegan Um philosophy professor on recently.

1066
00:55:03,080 --> 00:55:04,920
Speaker 1: We were talking about kind of like what is the

1067
00:55:04,960 --> 00:55:09,319
Speaker 1: prescription for this this this large scale issue that you

1068
00:55:09,400 --> 00:55:12,560
Speaker 1: see and that he sees that I see. I mean,

1069
00:55:13,320 --> 00:55:15,400
Speaker 1: I think you would be blind not to see it.

1070
00:55:16,360 --> 00:55:18,279
Speaker 1: And what I what I told him is is what

1071
00:55:18,400 --> 00:55:21,200
Speaker 1: hunting has taught me is kind of a proximity mindset

1072
00:55:21,239 --> 00:55:24,920
Speaker 1: when it comes to my food. A backyard garden is

1073
00:55:24,960 --> 00:55:28,600
Speaker 1: better than the grocery store. Um, an elk in the

1074
00:55:28,640 --> 00:55:32,640
Speaker 1: mountain is better than is you know, proxy meat provider

1075
00:55:32,800 --> 00:55:36,640
Speaker 1: at a store. Um. That's that's my philosophy. And I

1076
00:55:36,640 --> 00:55:39,640
Speaker 1: think most hunters understand that. And hunting has driven me

1077
00:55:39,719 --> 00:55:42,480
Speaker 1: to garden and do all kinds of other things. And

1078
00:55:42,800 --> 00:55:45,040
Speaker 1: what I would what I would ask you is is

1079
00:55:45,120 --> 00:55:49,160
Speaker 1: how does the impossible burger kind of address that? Is

1080
00:55:49,239 --> 00:55:51,799
Speaker 1: the supply chain so long and there's so much processing

1081
00:55:51,800 --> 00:55:55,799
Speaker 1: and manufacturing going on with this product. Is the proximity

1082
00:55:55,880 --> 00:56:00,560
Speaker 1: to the final product as long, if not longer then

1083
00:56:00,600 --> 00:56:03,600
Speaker 1: factory farm meats? Is there? Have you guys thought about that,

1084
00:56:03,719 --> 00:56:07,120
Speaker 1: how how close to the products these people are eating

1085
00:56:07,600 --> 00:56:11,120
Speaker 1: that they should be. Yeah, I think, um, you know,

1086
00:56:11,840 --> 00:56:15,239
Speaker 1: all food pretty much well even even what you hunt

1087
00:56:15,280 --> 00:56:18,200
Speaker 1: eventually is processed um to a certain extent. And now

1088
00:56:18,200 --> 00:56:20,279
Speaker 1: you're part of that process, you're much more connected to

1089
00:56:20,360 --> 00:56:22,040
Speaker 1: it than you would if I were to go to

1090
00:56:22,280 --> 00:56:25,879
Speaker 1: a grocery store and buy something even for for me.

1091
00:56:26,160 --> 00:56:28,920
Speaker 1: As like I, you know, grew up in the farming community.

1092
00:56:29,000 --> 00:56:31,120
Speaker 1: We knew the names of everything that we ate and

1093
00:56:31,160 --> 00:56:32,920
Speaker 1: that was just kind of, you know, part of life,

1094
00:56:33,080 --> 00:56:34,759
Speaker 1: and that was what was used to And when I

1095
00:56:34,800 --> 00:56:37,240
Speaker 1: went to Minneapolis in the San Francisco and going grocery

1096
00:56:37,239 --> 00:56:39,000
Speaker 1: shop and I didn't have that, I actually felt this

1097
00:56:39,120 --> 00:56:42,120
Speaker 1: dissonance and not really knowing where my food came from.

1098
00:56:42,120 --> 00:56:44,319
Speaker 1: That made it actually that actually drove me to eat less,

1099
00:56:44,600 --> 00:56:46,440
Speaker 1: the less meat. And then once I found out more

1100
00:56:46,440 --> 00:56:48,680
Speaker 1: about the environmental side of it, is like, yeah, then

1101
00:56:48,680 --> 00:56:51,000
Speaker 1: it's like okay, I am my job as being an

1102
00:56:51,080 --> 00:56:52,759
Speaker 1: environmental steward of the world. That's how I want to

1103
00:56:52,760 --> 00:56:54,600
Speaker 1: live my life. And it's like I can't really justify

1104
00:56:54,680 --> 00:56:58,640
Speaker 1: personally eating meat. Um. Now I think the from the

1105
00:56:58,680 --> 00:57:01,440
Speaker 1: process on our side is we're extremely proud of the

1106
00:57:01,440 --> 00:57:04,719
Speaker 1: process that we've developed. Um, you know, there's many processes

1107
00:57:04,760 --> 00:57:07,640
Speaker 1: and food that proves products that are not good for you,

1108
00:57:08,080 --> 00:57:09,560
Speaker 1: and I think there's a bad rap and some of

1109
00:57:09,560 --> 00:57:12,799
Speaker 1: that for some very valid reasons. There's also like whether

1110
00:57:12,840 --> 00:57:16,720
Speaker 1: it's bread, yogurts. You know, really everything in the food

1111
00:57:16,720 --> 00:57:18,880
Speaker 1: system is processed to a certain extent. Is is whether

1112
00:57:18,920 --> 00:57:21,560
Speaker 1: you can back up your process, give the transparency into

1113
00:57:21,600 --> 00:57:24,920
Speaker 1: what that is and help consumers understand it. And you know,

1114
00:57:24,960 --> 00:57:28,000
Speaker 1: to your last point on the length is like you know,

1115
00:57:28,040 --> 00:57:31,080
Speaker 1: we were we essentially skipped the animal as part of

1116
00:57:30,880 --> 00:57:34,840
Speaker 1: that food system, and so instead of taking the crops

1117
00:57:34,880 --> 00:57:37,480
Speaker 1: that you grow feed into an animal, which takes months

1118
00:57:37,480 --> 00:57:40,840
Speaker 1: to years to grow, a new process that animal. Um,

1119
00:57:41,040 --> 00:57:43,600
Speaker 1: we essentially go directly to the plants and we go

1120
00:57:43,720 --> 00:57:46,760
Speaker 1: directly to human nutrition. And so the length of our

1121
00:57:46,800 --> 00:57:49,680
Speaker 1: supply chain is much shorter than in anything in an

1122
00:57:49,720 --> 00:57:52,760
Speaker 1: animal animal agricultural system you can do, which enables us

1123
00:57:52,760 --> 00:57:56,080
Speaker 1: to also adapt faster. Um, you know when things change.

1124
00:57:57,280 --> 00:57:59,800
Speaker 1: So why is that? Why is it shorter? Necessarily? Like

1125
00:58:00,040 --> 00:58:03,040
Speaker 1: what's the kind of you could you take people quickly

1126
00:58:03,040 --> 00:58:07,160
Speaker 1: through how it gets from you know, raw materials to

1127
00:58:08,240 --> 00:58:12,400
Speaker 1: store shelves. Is that too long? Yeah? Sure, So I

1128
00:58:12,400 --> 00:58:16,720
Speaker 1: guess if you take um, you can use a simple

1129
00:58:16,760 --> 00:58:19,560
Speaker 1: crop that's probably well, well, there's like a soybean, and

1130
00:58:19,600 --> 00:58:22,800
Speaker 1: so if you grow soybeans in the summer in Minnesota. UM,

1131
00:58:22,840 --> 00:58:25,640
Speaker 1: you'll grow them for a few months, you'll harvest them,

1132
00:58:25,680 --> 00:58:29,160
Speaker 1: and then you'll take them to a dryer or into

1133
00:58:29,200 --> 00:58:32,240
Speaker 1: a granary, and then they either go to a farm

1134
00:58:32,320 --> 00:58:35,200
Speaker 1: for animal feed. You'll like grind it and put it

1135
00:58:35,200 --> 00:58:37,880
Speaker 1: into meal and you know, put into animal feed, or

1136
00:58:37,960 --> 00:58:40,720
Speaker 1: you take that into you grind it and you put

1137
00:58:40,720 --> 00:58:44,320
Speaker 1: it into human nutrition. And so if you put into

1138
00:58:44,320 --> 00:58:46,320
Speaker 1: animal feed, then you have that step of using an

1139
00:58:46,360 --> 00:58:51,240
Speaker 1: animal and so UM, if you're taking cow for instance,

1140
00:58:51,320 --> 00:58:53,880
Speaker 1: or a pig, let's say a cow, UM, which is

1141
00:58:53,960 --> 00:58:56,120
Speaker 1: more what I'm familiar with, since that's the agricultural system

1142
00:58:56,200 --> 00:58:58,919
Speaker 1: I grew up with. And you're taking into like beef,

1143
00:58:58,920 --> 00:59:03,080
Speaker 1: it's like you're anywhere from sixteen months to a few years,

1144
00:59:03,440 --> 00:59:06,360
Speaker 1: depending on the system you're running from one that animal

1145
00:59:06,520 --> 00:59:08,800
Speaker 1: starts growing when they eat the feed to when you

1146
00:59:08,840 --> 00:59:10,919
Speaker 1: had actually harvested and the process it and go forward

1147
00:59:11,200 --> 00:59:14,320
Speaker 1: wherever the impossible. You don't have that stuff. UM you

1148
00:59:14,400 --> 00:59:16,640
Speaker 1: go directly to the human nutrition. So we can take

1149
00:59:17,000 --> 00:59:19,840
Speaker 1: the proteins, the fats and the the micronutrients and all the

1150
00:59:19,880 --> 00:59:22,480
Speaker 1: stuff directly from those crops and directly make products and

1151
00:59:22,520 --> 00:59:26,440
Speaker 1: deliver it to you within days instead of you know,

1152
00:59:26,480 --> 00:59:30,560
Speaker 1: many times months and years. Got it? Um? Well, let

1153
00:59:30,560 --> 00:59:32,960
Speaker 1: me let me hit you with a couple of a

1154
00:59:32,960 --> 00:59:36,800
Speaker 1: bunch of yes or no questions before we let you go. UM.

1155
00:59:36,920 --> 00:59:41,280
Speaker 1: Hopefully this will be easy. See do you is impossible?

1156
00:59:41,480 --> 00:59:44,800
Speaker 1: Meet the company and you can answer for the company,

1157
00:59:44,840 --> 00:59:51,320
Speaker 1: yourself or both. Um. Against eating meat holistically, I think

1158
00:59:51,320 --> 00:59:54,800
Speaker 1: we've already covered that. But it's already covered that we

1159
00:59:54,840 --> 00:59:58,840
Speaker 1: are caretting better meat, so we're not against that. Got it? Um?

1160
00:59:58,920 --> 01:00:02,080
Speaker 1: Are are you? You guys feel you're on track to

1161
01:00:02,160 --> 01:00:09,240
Speaker 1: meet your goal of eliminating animals from food production. We

1162
01:00:09,280 --> 01:00:12,880
Speaker 1: are very early, I would say so. I think the yes,

1163
01:00:13,040 --> 01:00:15,080
Speaker 1: yes and no. I think there we have a lot

1164
01:00:15,120 --> 01:00:18,000
Speaker 1: to do. I don't know if I can Yeah, I

1165
01:00:18,040 --> 01:00:20,240
Speaker 1: do you know, I will say I appreciate it as

1166
01:00:20,280 --> 01:00:22,600
Speaker 1: an aside. I appreciate kind of the way you're approaching

1167
01:00:22,600 --> 01:00:24,320
Speaker 1: this because I wondered, you know, I don't know you

1168
01:00:24,360 --> 01:00:27,160
Speaker 1: at all. And um, I wondered, kind and I've read

1169
01:00:27,200 --> 01:00:30,040
Speaker 1: a lot of bombastic things from your CEO, and I

1170
01:00:30,960 --> 01:00:33,360
Speaker 1: appreciate kind of your openness to say like, don't know,

1171
01:00:33,440 --> 01:00:35,919
Speaker 1: we're working on it, We're gonna get better, UM, while

1172
01:00:35,960 --> 01:00:39,640
Speaker 1: also addressing like the global issues I do. I just

1173
01:00:39,680 --> 01:00:43,800
Speaker 1: genuinely appreciate that. I wondered if I was gonna UM.

1174
01:00:43,920 --> 01:00:46,240
Speaker 1: I feel like I should have had more data, but

1175
01:00:46,360 --> 01:00:48,560
Speaker 1: I don't. I feel like you're you're working through it.

1176
01:00:50,200 --> 01:00:53,240
Speaker 1: I think that's part of the mission in our north

1177
01:00:53,240 --> 01:00:55,240
Speaker 1: Star is extremely clear and what we need to get

1178
01:00:55,240 --> 01:00:59,160
Speaker 1: to and that really dries everybody to the company. UM.

1179
01:00:59,240 --> 01:01:02,920
Speaker 1: In order to drive a change this big that can

1180
01:01:03,000 --> 01:01:05,000
Speaker 1: have as a positive impact on the world in people's

1181
01:01:05,040 --> 01:01:07,360
Speaker 1: lives as we were going to have, UM, we can't

1182
01:01:07,440 --> 01:01:09,560
Speaker 1: if we thought we knew everything, We're going to run

1183
01:01:09,600 --> 01:01:11,920
Speaker 1: ourselves into the ground. We have to be learning every

1184
01:01:11,920 --> 01:01:16,400
Speaker 1: single day. Do you find do you find the work

1185
01:01:16,520 --> 01:01:18,840
Speaker 1: environment to be to be that way? I mean, you

1186
01:01:18,920 --> 01:01:21,440
Speaker 1: guys have to scale, you gotta make money. There's you know,

1187
01:01:21,480 --> 01:01:25,720
Speaker 1: there's a lot of pressure. The mission itself begets lots

1188
01:01:25,760 --> 01:01:29,960
Speaker 1: of pressures. What's the environment, what's the culture like? Is

1189
01:01:30,000 --> 01:01:34,160
Speaker 1: everybody um so laser focused, or is there times to

1190
01:01:34,240 --> 01:01:37,040
Speaker 1: relax and and take a look at what you've already

1191
01:01:37,080 --> 01:01:40,360
Speaker 1: done or you know, what's it like there? Yeah, that's

1192
01:01:40,400 --> 01:01:42,760
Speaker 1: a that's a great question because, like you know, many

1193
01:01:42,800 --> 01:01:45,919
Speaker 1: of our core values, one of them is we're responsible,

1194
01:01:46,280 --> 01:01:48,360
Speaker 1: like as a company, each person and us as a

1195
01:01:48,360 --> 01:01:50,520
Speaker 1: company is responsible to make this happen, which is a

1196
01:01:50,520 --> 01:01:52,720
Speaker 1: lot of pressure. And I think that's a lot of

1197
01:01:52,720 --> 01:01:54,760
Speaker 1: reasons why people are there is they want to be

1198
01:01:54,840 --> 01:01:57,080
Speaker 1: part of this. They want to and somewhat have some

1199
01:01:57,120 --> 01:01:59,920
Speaker 1: ways have that pressure. But it also is really important

1200
01:02:00,040 --> 01:02:02,280
Speaker 1: for us to find ways to step back and celebrate

1201
01:02:02,440 --> 01:02:04,640
Speaker 1: and relax when you when you can do it. And

1202
01:02:04,680 --> 01:02:07,040
Speaker 1: I think, uh, me, you can ask my teams. But

1203
01:02:07,800 --> 01:02:09,400
Speaker 1: I grew up at a dairy farm where you work

1204
01:02:09,440 --> 01:02:11,800
Speaker 1: three or sixt or five days of the year. So

1205
01:02:11,880 --> 01:02:13,920
Speaker 1: for me, it's like this is almost like normal, And

1206
01:02:14,040 --> 01:02:16,080
Speaker 1: like you know, it's like we have to make sure

1207
01:02:16,160 --> 01:02:19,640
Speaker 1: we've created environments where no matter what your background, you

1208
01:02:19,680 --> 01:02:22,200
Speaker 1: know what drives you, Um, you have a way, you

1209
01:02:22,200 --> 01:02:24,120
Speaker 1: have a way to succeed. And I think over time

1210
01:02:24,120 --> 01:02:25,760
Speaker 1: we've gotten better and better at that. And so I

1211
01:02:25,760 --> 01:02:28,120
Speaker 1: think culturally, um, you know, I've talked to a lot

1212
01:02:28,160 --> 01:02:30,200
Speaker 1: of friends on this culture. When you're ten people versus

1213
01:02:30,200 --> 01:02:32,280
Speaker 1: the culture and your six D people has to be different.

1214
01:02:33,400 --> 01:02:35,320
Speaker 1: And there's sort of certain values for us as a

1215
01:02:35,320 --> 01:02:38,440
Speaker 1: company that we will always adhere to, but our culture

1216
01:02:38,480 --> 01:02:41,600
Speaker 1: is always evolving. People work really hard, people support each

1217
01:02:41,600 --> 01:02:43,440
Speaker 1: other because I think we are in such a shared

1218
01:02:43,520 --> 01:02:47,520
Speaker 1: mission behind that north star. Yeah, of course it's um,

1219
01:02:47,800 --> 01:02:50,040
Speaker 1: you know, we're working hard at this every day. Um,

1220
01:02:50,440 --> 01:02:52,240
Speaker 1: it is a lot of long hours at different times,

1221
01:02:52,600 --> 01:02:55,560
Speaker 1: but you're in it for like the better for the world,

1222
01:02:55,560 --> 01:02:57,440
Speaker 1: the better for yourselves, a better for your family, and

1223
01:02:57,480 --> 01:03:01,400
Speaker 1: I think that's really motivating everyone. Yeah, I always you know,

1224
01:03:02,120 --> 01:03:04,440
Speaker 1: like I said, I run in a culture of people

1225
01:03:04,520 --> 01:03:07,480
Speaker 1: that are working at a place called meat Eater, and

1226
01:03:07,800 --> 01:03:11,440
Speaker 1: I I have always tried to fight the idea to

1227
01:03:11,560 --> 01:03:15,120
Speaker 1: demonize something one that you don't understand or or in

1228
01:03:15,160 --> 01:03:17,959
Speaker 1: our case, feels I think, as I've taken a stroll

1229
01:03:17,960 --> 01:03:21,040
Speaker 1: pole around the office, feels unnatural. Is like the thing

1230
01:03:21,520 --> 01:03:24,439
Speaker 1: that most people have told me, like this, you're adding in,

1231
01:03:25,480 --> 01:03:27,840
Speaker 1: you're taking plants, you're adding invite him into nutrients, and

1232
01:03:27,840 --> 01:03:30,600
Speaker 1: you're kind of messing around with what you're looking at,

1233
01:03:30,640 --> 01:03:32,440
Speaker 1: and then you're you're putting something in to make sure

1234
01:03:32,440 --> 01:03:35,360
Speaker 1: it bleeds. That's the thing. You know. Again, if you've

1235
01:03:35,360 --> 01:03:38,440
Speaker 1: got focus groups over there, like guys and gals like

1236
01:03:38,520 --> 01:03:41,480
Speaker 1: me who really care about their consumption and really want

1237
01:03:41,520 --> 01:03:47,120
Speaker 1: to UM. I mean, I rely on healthy ecosystems to

1238
01:03:47,200 --> 01:03:50,040
Speaker 1: do what I do. UM. And so that's that's the

1239
01:03:50,080 --> 01:03:51,800
Speaker 1: one thing I think I would say, and that others

1240
01:03:51,840 --> 01:03:55,560
Speaker 1: that I've talked to says like, this isn't a part

1241
01:03:55,680 --> 01:03:58,680
Speaker 1: of the sets and lengths of our humanity that have

1242
01:03:58,800 --> 01:04:03,320
Speaker 1: driven us to this point. It is a radical idea, UM,

1243
01:04:03,360 --> 01:04:05,720
Speaker 1: and it just feels unnatural. So the more you guys

1244
01:04:05,760 --> 01:04:08,880
Speaker 1: can do to to address that question and to talk

1245
01:04:08,920 --> 01:04:13,160
Speaker 1: about it, UM really logically as you have here, I

1246
01:04:13,200 --> 01:04:15,840
Speaker 1: think would be a good thing. And I think you're

1247
01:04:15,840 --> 01:04:18,560
Speaker 1: connected more to the natural world than you know, the

1248
01:04:18,600 --> 01:04:22,800
Speaker 1: vast majority of global citizens here. I mean you in Montana,

1249
01:04:22,880 --> 01:04:25,400
Speaker 1: I think you have that ability something more than you

1250
01:04:25,400 --> 01:04:27,840
Speaker 1: know other system in general. UM. You know, there's a

1251
01:04:27,840 --> 01:04:30,280
Speaker 1: lot of parts and you know, definitely within the meat

1252
01:04:30,280 --> 01:04:33,840
Speaker 1: supply chain that just is very unnatural, very unnatural the

1253
01:04:33,880 --> 01:04:35,680
Speaker 1: way that we use animals the way we do today

1254
01:04:35,760 --> 01:04:39,040
Speaker 1: to bruce food. And you know, we have to change

1255
01:04:39,080 --> 01:04:42,760
Speaker 1: that Yeah, Well, you guys have a big job ahead

1256
01:04:42,760 --> 01:04:46,160
Speaker 1: of you. Like I said, I appreciate your candor, um,

1257
01:04:46,240 --> 01:04:48,560
Speaker 1: and I really, like I said, I wondered how our

1258
01:04:48,600 --> 01:04:50,800
Speaker 1: conversation would go, and I'm glad it went. I'm glad

1259
01:04:50,800 --> 01:04:52,760
Speaker 1: that you were as open as you were. Um, I

1260
01:04:52,840 --> 01:04:55,240
Speaker 1: felt like and honest as you were as well. So

1261
01:04:55,280 --> 01:04:57,240
Speaker 1: we're going to continue to explore this on the show.

1262
01:04:57,640 --> 01:05:00,400
Speaker 1: We're going to talk to other folks and regenderator culture

1263
01:05:00,480 --> 01:05:02,880
Speaker 1: and and and try to compare and contract your ideas

1264
01:05:02,880 --> 01:05:06,280
Speaker 1: with theirs and let people make up their own decisions. So, um,

1265
01:05:06,320 --> 01:05:08,120
Speaker 1: I'm glad you're able to kind of state your case

1266
01:05:08,160 --> 01:05:11,840
Speaker 1: and explain your position. And my final question, did you

1267
01:05:11,880 --> 01:05:14,840
Speaker 1: get a lot of ship from your family for living

1268
01:05:14,880 --> 01:05:18,960
Speaker 1: in Hong Kong and we're working at Impossible? Yeah, it's

1269
01:05:19,080 --> 01:05:21,960
Speaker 1: it's very different than the smell a town farm life,

1270
01:05:22,320 --> 01:05:25,480
Speaker 1: and I think it was funny. And we were starting

1271
01:05:25,480 --> 01:05:27,920
Speaker 1: the company, my first call is to my brother. My

1272
01:05:28,040 --> 01:05:32,040
Speaker 1: brother is like he's been an animal agriculture his whole life.

1273
01:05:32,240 --> 01:05:34,880
Speaker 1: His like legacy was to take over the farm. Um.

1274
01:05:35,240 --> 01:05:37,560
Speaker 1: And you know, he he's the one where I got

1275
01:05:37,640 --> 01:05:40,960
Speaker 1: that quotessentially about what farmers do too. Because he kind

1276
01:05:40,960 --> 01:05:42,600
Speaker 1: of came back at this and say that, you know,

1277
01:05:42,640 --> 01:05:44,360
Speaker 1: the family farm that we grew up with, that way

1278
01:05:44,360 --> 01:05:46,760
Speaker 1: of life, you know, it doesn't really exist anymore, and

1279
01:05:46,800 --> 01:05:48,760
Speaker 1: you really can't make a living that way. It's all

1280
01:05:49,040 --> 01:05:51,600
Speaker 1: big mass systems you're trying to compete with. I mean,

1281
01:05:51,600 --> 01:05:53,880
Speaker 1: our job as farmers with brut is to bruce you know,

1282
01:05:53,960 --> 01:05:57,120
Speaker 1: good food for people and continue to hand down our land,

1283
01:05:57,160 --> 01:05:59,520
Speaker 1: hand down our farms and future generations. And honestly, that's

1284
01:05:59,560 --> 01:06:03,520
Speaker 1: not happenings like that. That system just has broken. The

1285
01:06:03,520 --> 01:06:06,360
Speaker 1: way the world has evolved in the apeed seven billion,

1286
01:06:06,400 --> 01:06:09,120
Speaker 1: going on ten billion, people like those systems are breaking

1287
01:06:09,120 --> 01:06:11,440
Speaker 1: down or mostly have broken down. And so in a

1288
01:06:11,440 --> 01:06:13,640
Speaker 1: lot of ways, what we're doing it impossible as we're

1289
01:06:14,000 --> 01:06:17,200
Speaker 1: trying to create a better system versus the way the

1290
01:06:17,240 --> 01:06:19,720
Speaker 1: systems essentially evolved too over the last you know, a

1291
01:06:19,800 --> 01:06:22,880
Speaker 1: couple hundred years. And you know, I've been able to

1292
01:06:23,200 --> 01:06:25,320
Speaker 1: have him help and you know other you know people

1293
01:06:25,440 --> 01:06:28,040
Speaker 1: farmers all around the country and world help. Think about you,

1294
01:06:28,120 --> 01:06:30,000
Speaker 1: what are the future crops we can grow? What are

1295
01:06:30,040 --> 01:06:32,800
Speaker 1: the future ecosystems we can build? And I think that's

1296
01:06:32,840 --> 01:06:36,840
Speaker 1: where I get very encouraged by the farming community because

1297
01:06:36,840 --> 01:06:40,080
Speaker 1: they are extremely entrepreneurial looking for things like this and saying, Okay,

1298
01:06:40,400 --> 01:06:42,280
Speaker 1: I see the opportunity. I can see why this is

1299
01:06:42,320 --> 01:06:44,240
Speaker 1: good for me. And as a farmer, you still have

1300
01:06:44,280 --> 01:06:45,680
Speaker 1: to make money to make a living, which is one

1301
01:06:45,680 --> 01:06:48,000
Speaker 1: of the hardest things, and I can see like, this

1302
01:06:48,080 --> 01:06:50,439
Speaker 1: is a better way to do this, and I think, yeah,

1303
01:06:50,480 --> 01:06:53,439
Speaker 1: that gives me a lot of encouragement. Uh, that's good.

1304
01:06:53,520 --> 01:06:56,240
Speaker 1: That's a good answer. I think as we go forward,

1305
01:06:56,240 --> 01:07:02,160
Speaker 1: you're you're an interesting case study for for the ideas. UM.

1306
01:07:02,200 --> 01:07:05,440
Speaker 1: It seems to me, I don't want to mischaracterize, UM

1307
01:07:05,640 --> 01:07:08,400
Speaker 1: what you're saying, Like, I think we're going to talk

1308
01:07:08,440 --> 01:07:10,720
Speaker 1: to some folks within this conversation that want to take

1309
01:07:10,720 --> 01:07:12,640
Speaker 1: our current system and kind of build on and work

1310
01:07:12,680 --> 01:07:17,120
Speaker 1: on and refine it. Would you characterize your version? I

1311
01:07:17,200 --> 01:07:19,240
Speaker 1: think this. I just want to make sure we're clear

1312
01:07:19,240 --> 01:07:23,800
Speaker 1: as breaking down the system and rebuilding it completely. Yeah,

1313
01:07:23,560 --> 01:07:27,000
Speaker 1: I think, um, you know, everybody who's working to make

1314
01:07:27,080 --> 01:07:29,560
Speaker 1: something even incrementally better in the short term is doing good.

1315
01:07:29,960 --> 01:07:31,640
Speaker 1: We have to fund on really change the way we

1316
01:07:31,680 --> 01:07:34,360
Speaker 1: produce food. We have to. That's the only way that

1317
01:07:34,640 --> 01:07:36,680
Speaker 1: people can have the meat, fish and dairy experiences that

1318
01:07:36,720 --> 01:07:39,080
Speaker 1: they have today and they want at the global scale

1319
01:07:39,080 --> 01:07:42,120
Speaker 1: we're doing. We have to completely fund and fundamentally change

1320
01:07:42,160 --> 01:07:45,120
Speaker 1: the way we produce this food. Yeah, well, I I

1321
01:07:45,120 --> 01:07:47,560
Speaker 1: appreciate it, Nick. Um. I don't know what time is

1322
01:07:47,560 --> 01:07:52,760
Speaker 1: it in Hong Kong. Uhn Am all right? Well, I

1323
01:07:52,840 --> 01:07:54,520
Speaker 1: was gonna say, have a good night, but UM, have

1324
01:07:54,600 --> 01:07:57,880
Speaker 1: a good day. I really appreciate your time and your experience,

1325
01:07:57,880 --> 01:08:01,160
Speaker 1: and hopefully we can connect, as we know, explore this further.

1326
01:08:01,320 --> 01:08:04,520
Speaker 1: And UM, maybe I'll I'll be tasting more of your

1327
01:08:04,520 --> 01:08:18,120
Speaker 1: meat here coming up. Sounds great. Thank you. Take care, Robbie.

1328
01:08:18,120 --> 01:08:21,639
Speaker 1: How's it going, Hey Ben? How you doing good? Man?

1329
01:08:21,800 --> 01:08:24,320
Speaker 1: I'm doing just good. We are just just so you know,

1330
01:08:24,400 --> 01:08:26,640
Speaker 1: we're just coming off. Listeners will have just listened to

1331
01:08:26,640 --> 01:08:30,439
Speaker 1: her interview with Nick Holla from Impossible Meats. UM a

1332
01:08:30,479 --> 01:08:33,160
Speaker 1: good interview. You've listened to it. I sent to the

1333
01:08:33,200 --> 01:08:36,080
Speaker 1: audio and let you listen to kinda how Nick frames

1334
01:08:36,160 --> 01:08:39,040
Speaker 1: some of the things he was talking about. UM, And

1335
01:08:39,120 --> 01:08:42,120
Speaker 1: so I wanted to just dive right in with you. Um.

1336
01:08:42,120 --> 01:08:44,000
Speaker 1: We've had you on you. You were on this last

1337
01:08:44,040 --> 01:08:46,599
Speaker 1: fall we were up there at Rome Ranch. UM had

1338
01:08:46,640 --> 01:08:49,280
Speaker 1: a great time had a good hunt. I still uh

1339
01:08:49,560 --> 01:08:52,240
Speaker 1: the COVID knocked down my chance to come hunt turkeys

1340
01:08:52,240 --> 01:08:53,880
Speaker 1: with you guys over there this year, which I'm really

1341
01:08:53,880 --> 01:08:57,600
Speaker 1: bummed about. Yeah, major bummer. We were looking forward to

1342
01:08:57,640 --> 01:09:00,439
Speaker 1: that as well. So, but I want to have you

1343
01:09:00,560 --> 01:09:05,400
Speaker 1: on specifically to talk um about what I view is

1344
01:09:05,400 --> 01:09:09,800
Speaker 1: is maybe not a counterpoint, but another perspective and this

1345
01:09:09,920 --> 01:09:14,120
Speaker 1: idea of plant based meats and uh, plant agriculture and

1346
01:09:14,160 --> 01:09:16,439
Speaker 1: animal agriculture and where we go in the future. And

1347
01:09:16,520 --> 01:09:20,200
Speaker 1: so I know we've had a few whiskeys and talked

1348
01:09:20,200 --> 01:09:22,640
Speaker 1: about this before, and we've talked on other occasions. I

1349
01:09:22,920 --> 01:09:26,519
Speaker 1: really find your perspective um on the regenerative agriculture and

1350
01:09:26,560 --> 01:09:29,840
Speaker 1: what you guys do with force and nature meets very um,

1351
01:09:30,080 --> 01:09:32,160
Speaker 1: very profound and very well thought out. So I just

1352
01:09:32,200 --> 01:09:36,720
Speaker 1: wanted to present your other side as it were, and

1353
01:09:37,160 --> 01:09:40,200
Speaker 1: see where we go. Sound good? Yeah, man, thanks, uh,

1354
01:09:40,400 --> 01:09:44,360
Speaker 1: thanks again for having me on another on another occasion.

1355
01:09:44,360 --> 01:09:46,679
Speaker 1: It's always it's always fun to talk about this stuff.

1356
01:09:46,680 --> 01:09:49,719
Speaker 1: I think it's really important. I also think it's incredibly

1357
01:09:49,720 --> 01:09:52,679
Speaker 1: important that you're creating the opportunity to have a complete

1358
01:09:52,680 --> 01:09:55,479
Speaker 1: and honest conversation, right, I mean to too, many times

1359
01:09:55,479 --> 01:09:58,080
Speaker 1: the stuff gets down into confusing stats and data points

1360
01:09:58,080 --> 01:10:00,720
Speaker 1: that are spun and there isn't the ortenning to really

1361
01:10:00,760 --> 01:10:03,280
Speaker 1: talk about the complete picture. And I think that you

1362
01:10:03,320 --> 01:10:06,439
Speaker 1: do a really great job of UM creating a environment

1363
01:10:06,439 --> 01:10:08,120
Speaker 1: where that can happen. So I'm happy to be a

1364
01:10:08,120 --> 01:10:10,679
Speaker 1: part of it. Well, thanks man. Can you give give

1365
01:10:10,720 --> 01:10:13,080
Speaker 1: people a quick your job title and kind of what

1366
01:10:13,120 --> 01:10:15,840
Speaker 1: you do Force and Nature and refresh people's memory about

1367
01:10:16,200 --> 01:10:20,040
Speaker 1: Force and Nature meets itself? Yeah, so Force of Nature

1368
01:10:20,600 --> 01:10:23,120
Speaker 1: one of the co founders. I'm I'm also the CEO,

1369
01:10:23,200 --> 01:10:26,679
Speaker 1: and uh I also have some animals. I consider myself

1370
01:10:26,720 --> 01:10:30,800
Speaker 1: a land steward UM and then the Force of Nature again.

1371
01:10:30,840 --> 01:10:34,160
Speaker 1: We we talked about at length what we are doing

1372
01:10:34,439 --> 01:10:37,800
Speaker 1: on our previous episode, but ultimately, after spending the better

1373
01:10:37,840 --> 01:10:40,200
Speaker 1: part of the last decade or so focused on improving

1374
01:10:40,240 --> 01:10:43,439
Speaker 1: our food system, we realized that the best way to

1375
01:10:43,439 --> 01:10:47,320
Speaker 1: resolve many of the major global health and environmental crisis

1376
01:10:47,800 --> 01:10:49,920
Speaker 1: that we face today is through improving our our food

1377
01:10:49,920 --> 01:10:53,840
Speaker 1: system and particularly the way that we practice agriculture. And

1378
01:10:53,920 --> 01:10:57,519
Speaker 1: within Force of Nature, we're primarily focused on accelerating the

1379
01:10:57,640 --> 01:11:01,160
Speaker 1: creation of a global regenerative supply net work. UM and

1380
01:11:01,200 --> 01:11:04,680
Speaker 1: that ultimately will address a lot of things that we're

1381
01:11:04,680 --> 01:11:07,280
Speaker 1: going to talk about today, but also give consumers access

1382
01:11:07,320 --> 01:11:09,920
Speaker 1: to better food as well as an opportunity to vote

1383
01:11:09,960 --> 01:11:14,639
Speaker 1: for a better food system. UM. You know, simultaneously again

1384
01:11:14,680 --> 01:11:17,840
Speaker 1: force of nature. Uh, meat is under attack, I think

1385
01:11:17,840 --> 01:11:20,479
Speaker 1: as you as you are are well aware, and I think,

1386
01:11:20,479 --> 01:11:23,880
Speaker 1: in many instances unfairly under attack. Right. And so we

1387
01:11:23,920 --> 01:11:26,439
Speaker 1: say one of our objectives is to reclaim the legacy

1388
01:11:26,479 --> 01:11:29,440
Speaker 1: of meat. And that means both from the conventional incumbents

1389
01:11:29,760 --> 01:11:32,400
Speaker 1: UM who have continued to invest in a system with

1390
01:11:32,400 --> 01:11:36,560
Speaker 1: with known challenges and limitations, largely in the name of profits,

1391
01:11:36,640 --> 01:11:38,439
Speaker 1: as well as in these new kind of up and

1392
01:11:38,479 --> 01:11:43,720
Speaker 1: coming UM we'll call them alternative food companies, and in

1393
01:11:43,720 --> 01:11:47,000
Speaker 1: many ways that are you know, falsely prophesizing that their

1394
01:11:47,040 --> 01:11:49,760
Speaker 1: solutions for problems that they aren't offering solutions for. And

1395
01:11:50,120 --> 01:11:52,200
Speaker 1: I think we need to bring meat back to what

1396
01:11:52,320 --> 01:11:56,720
Speaker 1: it has been for the UM through the prior millennia UM,

1397
01:11:56,760 --> 01:11:58,720
Speaker 1: and not what it may be is has become over

1398
01:11:58,760 --> 01:12:01,960
Speaker 1: the last couple of generations. Sin's really the the Industrial

1399
01:12:02,000 --> 01:12:05,400
Speaker 1: Revolution and even World War two? Yeah, would you say

1400
01:12:05,520 --> 01:12:07,160
Speaker 1: as we think about as we think about this, we

1401
01:12:07,200 --> 01:12:11,040
Speaker 1: think about impossible meats and force the nature and companies

1402
01:12:11,080 --> 01:12:13,360
Speaker 1: like this that you're looking for better in your case,

1403
01:12:13,400 --> 01:12:17,720
Speaker 1: better meat, but better food altogether, better food systems. And

1404
01:12:17,760 --> 01:12:21,719
Speaker 1: then over top of all that is addressing environmental issues

1405
01:12:21,720 --> 01:12:23,360
Speaker 1: and climate change. Is that a good way to kind

1406
01:12:23,360 --> 01:12:27,960
Speaker 1: of put the umbrella over everything here? Yeah, I mean

1407
01:12:28,280 --> 01:12:30,640
Speaker 1: absolutely right. I think I think the focus for a

1408
01:12:30,640 --> 01:12:34,200
Speaker 1: lot of people right now is better food, as you said,

1409
01:12:34,240 --> 01:12:37,439
Speaker 1: and more sustainable food, whether that be from the impact

1410
01:12:37,560 --> 01:12:42,439
Speaker 1: on on the environment broadly, um, not just greenhouse gasses, UM,

1411
01:12:42,479 --> 01:12:45,840
Speaker 1: also on um food stability and food security, as well

1412
01:12:45,880 --> 01:12:49,519
Speaker 1: as on rural communities and and and and habitat and

1413
01:12:49,560 --> 01:12:53,160
Speaker 1: things like that. So UM, there's definitely a tremendous opportunity

1414
01:12:53,840 --> 01:12:56,400
Speaker 1: to improve all of those things, right, And that's what

1415
01:12:56,400 --> 01:12:59,120
Speaker 1: we've done in agriculture historically is evolve it. And you know,

1416
01:12:59,160 --> 01:13:01,760
Speaker 1: there's an opportunity you right now to take learnings and

1417
01:13:01,760 --> 01:13:06,760
Speaker 1: to take the advancements we have being um as experienced

1418
01:13:06,760 --> 01:13:09,799
Speaker 1: as we are, and evolved the system once more. Yeah,

1419
01:13:10,000 --> 01:13:12,880
Speaker 1: So it's evolved and change and I think that you know,

1420
01:13:13,040 --> 01:13:15,320
Speaker 1: we where we ended with Nick, and where I think

1421
01:13:15,320 --> 01:13:18,200
Speaker 1: we can start with you. I asked him this at

1422
01:13:18,240 --> 01:13:20,800
Speaker 1: the end. As as folks listening, I've already heard and

1423
01:13:21,120 --> 01:13:22,719
Speaker 1: you and I have talked about this, but I think

1424
01:13:23,880 --> 01:13:26,559
Speaker 1: what it seems from the impossible meat side of things,

1425
01:13:26,960 --> 01:13:28,439
Speaker 1: and we can talk about how much you kind of

1426
01:13:28,479 --> 01:13:31,719
Speaker 1: know about them and and you know your awareness level,

1427
01:13:32,080 --> 01:13:35,240
Speaker 1: but it seems to me that they want to tear

1428
01:13:35,280 --> 01:13:38,759
Speaker 1: the system down and rebuild it. That's that's what Nick said,

1429
01:13:38,880 --> 01:13:42,960
Speaker 1: That's what their CEO has said publicly. UM therein for

1430
01:13:43,040 --> 01:13:46,320
Speaker 1: wholesale change, and they've stated their reasons why they feel

1431
01:13:46,360 --> 01:13:48,840
Speaker 1: that's necessary. We'll talk about some of those as well.

1432
01:13:48,880 --> 01:13:52,240
Speaker 1: But but how do you, guys approach a better food system,

1433
01:13:52,320 --> 01:13:54,800
Speaker 1: a more sustainable food system. Is it to tear down

1434
01:13:54,800 --> 01:13:56,439
Speaker 1: the system or is this to build on what we

1435
01:13:56,479 --> 01:13:58,839
Speaker 1: already have? How do you articulate that as a company,

1436
01:13:58,840 --> 01:14:03,280
Speaker 1: as a and as a lance do it too? Yeah,

1437
01:14:03,320 --> 01:14:06,960
Speaker 1: it's a it's a great question, and you know, I don't.

1438
01:14:07,000 --> 01:14:10,160
Speaker 1: I don't think the answer is to tear anything down. UM.

1439
01:14:10,200 --> 01:14:12,920
Speaker 1: I think what we have right now is founded on

1440
01:14:14,080 --> 01:14:17,719
Speaker 1: UM four and a half billion years of evolution UM

1441
01:14:17,760 --> 01:14:21,800
Speaker 1: and that's a pretty strong starting point, right. I think

1442
01:14:21,800 --> 01:14:25,839
Speaker 1: we've made UM, you know, with with the best of intentions,

1443
01:14:25,880 --> 01:14:30,320
Speaker 1: gone down a path um that has generated some unforeseen consequences.

1444
01:14:30,600 --> 01:14:35,320
Speaker 1: And in the recent uh, you know, recent times, we've

1445
01:14:35,320 --> 01:14:36,960
Speaker 1: been able what we've begun to identify what some of

1446
01:14:36,960 --> 01:14:41,320
Speaker 1: those are, and there's been resistance to acknowledging or making

1447
01:14:41,360 --> 01:14:45,599
Speaker 1: the changes, um that are that are that are overdue. Right,

1448
01:14:45,640 --> 01:14:47,800
Speaker 1: And so I think, you know, there's always pros and

1449
01:14:47,800 --> 01:14:51,639
Speaker 1: cons in the food system. Um, but the advancements since

1450
01:14:51,680 --> 01:14:53,519
Speaker 1: like we talked about a second ago World War two,

1451
01:14:54,000 --> 01:14:56,559
Speaker 1: I've really kind of brought us into the chemical industrial

1452
01:14:56,600 --> 01:15:00,200
Speaker 1: agriculture age. Um. You know, for them, that the their

1453
01:15:00,280 --> 01:15:03,240
Speaker 1: point as again I'm not an expert on them, and

1454
01:15:03,240 --> 01:15:06,040
Speaker 1: they can they can make their own case, right, But

1455
01:15:06,080 --> 01:15:08,640
Speaker 1: what I hear from their CEO largely and in the

1456
01:15:08,680 --> 01:15:10,439
Speaker 1: press is that, you know, meat is the enemy and

1457
01:15:10,479 --> 01:15:14,240
Speaker 1: they want to put all resources into industrial road crop agriculture.

1458
01:15:15,200 --> 01:15:18,240
Speaker 1: And um, you know, our our our premissive point is

1459
01:15:18,280 --> 01:15:21,600
Speaker 1: that industrial agriculture of all kinds is challenged and it

1460
01:15:21,640 --> 01:15:24,160
Speaker 1: can be quickly and easily improved. The answer is not

1461
01:15:24,200 --> 01:15:26,000
Speaker 1: to tear it down. It's too course correct or evolve

1462
01:15:26,040 --> 01:15:29,320
Speaker 1: it like we talked about, right, Um, you know, I

1463
01:15:29,320 --> 01:15:31,320
Speaker 1: think some of the opportunities that we have to of

1464
01:15:31,360 --> 01:15:34,400
Speaker 1: all of those practices um or need need only be

1465
01:15:34,439 --> 01:15:38,320
Speaker 1: subtle changes to generate a powerful force um and and

1466
01:15:38,360 --> 01:15:41,400
Speaker 1: really ultimately address a myriad of major issues, right whether

1467
01:15:41,400 --> 01:15:45,880
Speaker 1: it be health of humans, environmental impact, welfare of animals again,

1468
01:15:46,000 --> 01:15:48,519
Speaker 1: impact on rural America, food stability, all the stuff that

1469
01:15:48,560 --> 01:15:51,360
Speaker 1: we talked about, and we're trying to improve the overall

1470
01:15:51,400 --> 01:15:53,439
Speaker 1: system and the well being of all that are involved,

1471
01:15:53,800 --> 01:15:58,519
Speaker 1: not just today, but to create you know, a sustainable future. Yeah. Yeah,

1472
01:15:58,640 --> 01:16:01,240
Speaker 1: there's an interesting diccon to me rite that. You know,

1473
01:16:01,240 --> 01:16:04,160
Speaker 1: Sustainability is a word. Efficiency is a word that Nick

1474
01:16:04,280 --> 01:16:06,160
Speaker 1: used a lot of sustainability as a word to hear

1475
01:16:06,200 --> 01:16:10,920
Speaker 1: a lot um and I think both impossible and and

1476
01:16:10,920 --> 01:16:13,360
Speaker 1: what in your company force the nature We're not We're

1477
01:16:13,400 --> 01:16:15,280
Speaker 1: not here to compare them as you if you told

1478
01:16:15,280 --> 01:16:19,000
Speaker 1: me they're They're definitely different companies UM at different phases

1479
01:16:19,040 --> 01:16:22,760
Speaker 1: of their growth and and but you know, philosophically, I

1480
01:16:22,800 --> 01:16:24,920
Speaker 1: think is what we can can touch on anyway, because

1481
01:16:24,960 --> 01:16:26,720
Speaker 1: I think, honestly, if I was being honest with you,

1482
01:16:26,840 --> 01:16:29,320
Speaker 1: I thought that the way that Nick was articulating some

1483
01:16:29,360 --> 01:16:31,400
Speaker 1: of his points reminded me of you, kind of kind

1484
01:16:31,400 --> 01:16:34,639
Speaker 1: of like the the passion and the clarity with which

1485
01:16:34,680 --> 01:16:37,000
Speaker 1: you articulate your point. So I felt that that was

1486
01:16:37,320 --> 01:16:41,200
Speaker 1: it's a nice um juxtaposition, but also that you know,

1487
01:16:41,240 --> 01:16:44,240
Speaker 1: there's passionate people trying to solve these things. So when

1488
01:16:44,280 --> 01:16:47,519
Speaker 1: I go when I look at uh force a Nature's website,

1489
01:16:47,560 --> 01:16:51,840
Speaker 1: when I look at Impossible's website, both have literature and

1490
01:16:51,960 --> 01:16:55,320
Speaker 1: verbiage talking about combating climate change. Both are openly driven

1491
01:16:55,360 --> 01:16:58,720
Speaker 1: to combat climate change and save the environment. So how

1492
01:16:58,720 --> 01:17:02,760
Speaker 1: would you approach you know, your version of that, and

1493
01:17:02,800 --> 01:17:04,240
Speaker 1: then as as much as you want to go into

1494
01:17:04,320 --> 01:17:06,920
Speaker 1: kind of analyzing their versions, you're welcome to. But but

1495
01:17:07,040 --> 01:17:10,160
Speaker 1: I think more just focusing on regetative agriculture and what

1496
01:17:10,240 --> 01:17:14,920
Speaker 1: you guys believe. Yeah, no, it's I think I think

1497
01:17:14,960 --> 01:17:18,519
Speaker 1: that's uh, you know, climate change or or carbon issues

1498
01:17:18,560 --> 01:17:22,840
Speaker 1: are definitely something that resonates with the general population and

1499
01:17:22,840 --> 01:17:25,400
Speaker 1: and certainly with news media, right, And so I think

1500
01:17:25,439 --> 01:17:28,160
Speaker 1: it's a it's a it's a more popular point in

1501
01:17:28,240 --> 01:17:31,880
Speaker 1: the in the conversation, and I'm I'm happy to dive

1502
01:17:31,920 --> 01:17:34,880
Speaker 1: into to go really deep into that, right, talk about

1503
01:17:35,040 --> 01:17:39,600
Speaker 1: specific carbon impacts of regenerative agriculture as well as you know,

1504
01:17:39,640 --> 01:17:43,200
Speaker 1: the conventional agriculture system that they are promoting and hoping

1505
01:17:43,200 --> 01:17:46,200
Speaker 1: to perpetuate. Right. I do you know, want to clarify

1506
01:17:46,240 --> 01:17:50,719
Speaker 1: though that it's it's it's more than just greenhouse gasses. UM.

1507
01:17:50,760 --> 01:17:55,200
Speaker 1: You know, I think part of it is you know,

1508
01:17:55,280 --> 01:17:58,880
Speaker 1: pointing to the absolute worst example of animal production and

1509
01:17:58,960 --> 01:18:03,400
Speaker 1: assigning that to the entire industry UM, and then and

1510
01:18:03,439 --> 01:18:06,000
Speaker 1: then using that as sort of a strongman right to

1511
01:18:06,000 --> 01:18:11,760
Speaker 1: to make an argument, and then um using some convenient

1512
01:18:12,400 --> 01:18:17,800
Speaker 1: statistical analysis techniques to make points based off of you know,

1513
01:18:17,840 --> 01:18:22,880
Speaker 1: antiquated data UM to support an opinion right or really

1514
01:18:22,880 --> 01:18:26,880
Speaker 1: even more more than that and an ideology. UM. I

1515
01:18:26,880 --> 01:18:29,160
Speaker 1: think we're really when you want to point out what

1516
01:18:29,200 --> 01:18:32,760
Speaker 1: our two cup where our two companies are similar and different. UM.

1517
01:18:32,760 --> 01:18:37,479
Speaker 1: Where we're different is they are The conversation that we're

1518
01:18:37,479 --> 01:18:42,760
Speaker 1: having is about conventional agriculture versus regenerative agriculture, right, and

1519
01:18:42,800 --> 01:18:48,519
Speaker 1: conventional agriculture um is is tied to both plant and

1520
01:18:48,680 --> 01:18:52,720
Speaker 1: animal based systems. Right. And so what they're promoting is

1521
01:18:52,760 --> 01:18:56,720
Speaker 1: the reliance on an industrial chemical agriculture system UM for

1522
01:18:56,960 --> 01:19:00,680
Speaker 1: plants and animals. UM. They're simply suggesting that at we

1523
01:19:00,840 --> 01:19:04,040
Speaker 1: shift anything that has to do with animals over to

1524
01:19:04,080 --> 01:19:07,040
Speaker 1: the plant side. Um, from one evil to another, so

1525
01:19:07,120 --> 01:19:11,559
Speaker 1: to speak. It's theoretical, it's counter to biology and science. Um.

1526
01:19:11,560 --> 01:19:13,680
Speaker 1: It will continue to degrade soil, it will continue to

1527
01:19:13,720 --> 01:19:16,800
Speaker 1: degrade land, it will create less healthy food, it will

1528
01:19:16,840 --> 01:19:20,840
Speaker 1: increase those greenhouse gas emissions that we talked about. Right.

1529
01:19:21,720 --> 01:19:25,080
Speaker 1: And our our suggestion is simply transition to a more

1530
01:19:25,160 --> 01:19:28,519
Speaker 1: regenerative approach that works alongside and in conjunction with nature

1531
01:19:29,040 --> 01:19:32,599
Speaker 1: to improve both our plant and animal based food systems. Right.

1532
01:19:32,760 --> 01:19:35,839
Speaker 1: So it's not the animal, it's the system. We're simply

1533
01:19:36,040 --> 01:19:41,920
Speaker 1: replacing conventional chemistry based agriculture with the biology and management

1534
01:19:41,920 --> 01:19:46,080
Speaker 1: based approach. This is validated historically and in present contexted

1535
01:19:46,840 --> 01:19:50,760
Speaker 1: in present contexts, right, I mean you have numerous um

1536
01:19:50,920 --> 01:19:55,760
Speaker 1: scientific uh professionals. The scientific community is supporting your generative agriculture.

1537
01:19:55,880 --> 01:19:58,040
Speaker 1: Major governments all over the world are supporting it. This

1538
01:19:58,080 --> 01:20:01,600
Speaker 1: is isn't something that I or my you know associates

1539
01:20:01,640 --> 01:20:03,519
Speaker 1: came up with on a sabbatical, Right. This is something

1540
01:20:03,560 --> 01:20:05,759
Speaker 1: that's been around for a long time, is widely supported,

1541
01:20:05,800 --> 01:20:09,320
Speaker 1: it's proven out, um, and it's truly scalable. Yeah. Do

1542
01:20:09,360 --> 01:20:11,920
Speaker 1: you see when when you think about regendative agriculture. I

1543
01:20:11,920 --> 01:20:14,920
Speaker 1: think we should probably for those who haven't, um listened

1544
01:20:14,920 --> 01:20:17,320
Speaker 1: to our last podcast, take a minute, go do that

1545
01:20:18,200 --> 01:20:22,160
Speaker 1: and we're back. And we're back. Now we're back, assuming

1546
01:20:22,160 --> 01:20:24,840
Speaker 1: everyone has listened to it. Now, But give people just

1547
01:20:24,840 --> 01:20:27,240
Speaker 1: just a couple of lines about regendaive agriculture. I don't

1548
01:20:27,240 --> 01:20:29,519
Speaker 1: want to go too much further without kind of tying

1549
01:20:29,720 --> 01:20:32,519
Speaker 1: tying that loose end off. I know, I'm asking you

1550
01:20:32,560 --> 01:20:35,600
Speaker 1: to explain it very detailed thing, but you know, philosophically,

1551
01:20:35,800 --> 01:20:39,200
Speaker 1: the you've already touched on the approach of of regenerative

1552
01:20:39,680 --> 01:20:42,280
Speaker 1: give give people an overview of how it's just different

1553
01:20:42,360 --> 01:20:45,240
Speaker 1: than plant based agriculture as we know it today, an

1554
01:20:45,240 --> 01:20:49,439
Speaker 1: animal based agriculture. Yeah. And again, so it's it's not

1555
01:20:49,520 --> 01:20:52,040
Speaker 1: plant based, it's not animal based. It's it's what I

1556
01:20:52,080 --> 01:20:55,000
Speaker 1: would consider to be planet based, right or ecosystem based

1557
01:20:55,040 --> 01:20:59,400
Speaker 1: agriculture where we're um, it's subtle, but we're replacing chemical

1558
01:20:59,680 --> 01:21:03,559
Speaker 1: and it's with management practices right um. And it's and

1559
01:21:03,560 --> 01:21:07,720
Speaker 1: it's agriculture guided and nature's image, working with nature as

1560
01:21:07,720 --> 01:21:10,960
Speaker 1: opposed to in a combative form with it, right. Um.

1561
01:21:11,000 --> 01:21:12,439
Speaker 1: And for those that were able to click away and

1562
01:21:12,479 --> 01:21:14,280
Speaker 1: listen to the last episode and come back. You know

1563
01:21:14,360 --> 01:21:16,280
Speaker 1: you'll you'll understand and we'll we'll talk more about it

1564
01:21:16,280 --> 01:21:18,840
Speaker 1: throughout this podcast, I'm sure. But you can have all

1565
01:21:18,840 --> 01:21:21,600
Speaker 1: the PhDs you want, and I'll take nature. And it

1566
01:21:21,600 --> 01:21:23,519
Speaker 1: doesn't matter what the issue is. I'm going to win

1567
01:21:23,560 --> 01:21:26,400
Speaker 1: the long game, right. The simple truth is we can

1568
01:21:26,439 --> 01:21:29,920
Speaker 1: work with nature or against it. And we've chosen to

1569
01:21:30,040 --> 01:21:33,840
Speaker 1: side with nature. And the most conventional form of agriculture,

1570
01:21:34,360 --> 01:21:38,640
Speaker 1: which impossible, absolutely relies on and is intent to perpetuate,

1571
01:21:39,240 --> 01:21:42,920
Speaker 1: is combative towards nature. And in our podcast we discussed

1572
01:21:42,920 --> 01:21:45,600
Speaker 1: some of the basic fundamentals and the foundational elements of

1573
01:21:45,640 --> 01:21:48,800
Speaker 1: that UM. It starts from the ground up, starts from

1574
01:21:48,800 --> 01:21:51,960
Speaker 1: the soil. There are principles of soil health, limiting disturb its,

1575
01:21:52,400 --> 01:21:56,000
Speaker 1: keeping the soil covered and and not bear maintaining living

1576
01:21:56,080 --> 01:21:58,320
Speaker 1: roots throughout the years. So you can have this plant,

1577
01:21:58,479 --> 01:22:03,719
Speaker 1: you know, atmosphere UM beneath the soil, relationship of energy

1578
01:22:03,960 --> 01:22:10,280
Speaker 1: and nutrition, promoting diversity, and absolutely incorporating animals in conjunction

1579
01:22:10,320 --> 01:22:16,040
Speaker 1: with diversity of plants together. Yeah, and I know, like

1580
01:22:16,080 --> 01:22:17,960
Speaker 1: I said, like I said earlier, we'll be transparent. I

1581
01:22:17,960 --> 01:22:20,000
Speaker 1: did send you the file of Nick's interview because I

1582
01:22:20,000 --> 01:22:21,439
Speaker 1: wanted you to kind of hear it and be able

1583
01:22:21,439 --> 01:22:23,559
Speaker 1: to digest it. Um. We're not going to go through

1584
01:22:23,560 --> 01:22:25,360
Speaker 1: a point by point, but when you listen to the

1585
01:22:25,400 --> 01:22:28,280
Speaker 1: way when I was talking to him about supply chain

1586
01:22:28,320 --> 01:22:30,640
Speaker 1: and proximity to our food, when you listened to the

1587
01:22:30,640 --> 01:22:34,000
Speaker 1: way he explained that, Um, how did it strike you

1588
01:22:34,040 --> 01:22:36,519
Speaker 1: and compared to you know, what you guys are doing

1589
01:22:36,560 --> 01:22:42,880
Speaker 1: with your meat and regenda of agriculture. You know, I

1590
01:22:42,920 --> 01:22:53,479
Speaker 1: think the challenge with trux simity UM. And you know,

1591
01:22:53,520 --> 01:22:56,920
Speaker 1: I'll be honest, you know there I didn't make an

1592
01:22:56,920 --> 01:22:59,280
Speaker 1: extensive list of notes on on the conversation you had

1593
01:22:59,439 --> 01:23:02,320
Speaker 1: with him, because I think it it seems to be

1594
01:23:02,360 --> 01:23:06,040
Speaker 1: pretty consistent with their their their their base talking points. UM.

1595
01:23:06,080 --> 01:23:08,040
Speaker 1: And I think the things that stood out to me,

1596
01:23:08,920 --> 01:23:11,960
Speaker 1: we're the discussion more about efficiency when when when you

1597
01:23:12,000 --> 01:23:17,000
Speaker 1: were talking proximity, UM, and what's what's more efficient? Right? Um?

1598
01:23:17,120 --> 01:23:22,560
Speaker 1: And you know that's a it's it's really hard to

1599
01:23:22,600 --> 01:23:25,559
Speaker 1: get my head around the position that they that they've

1600
01:23:25,640 --> 01:23:30,000
Speaker 1: taken right, that you can take um and and promote

1601
01:23:30,080 --> 01:23:35,240
Speaker 1: this conventional system that's relying on so many herbicide fungicide,

1602
01:23:35,240 --> 01:23:40,439
Speaker 1: pesticide inputs, heavy tillage, fossil fuels, tractors, back and forth,

1603
01:23:41,240 --> 01:23:44,519
Speaker 1: you know, harvesting a crop, drying it, further processing it,

1604
01:23:44,880 --> 01:23:47,559
Speaker 1: you know, creating an ultra processed food product, probably the

1605
01:23:47,560 --> 01:23:51,960
Speaker 1: most processed food product in the history of our species UM,

1606
01:23:52,040 --> 01:23:55,080
Speaker 1: and make an argument that that is in any way

1607
01:23:55,120 --> 01:23:59,880
Speaker 1: more efficient than having a cow or a rumined animal

1608
01:24:00,520 --> 01:24:06,640
Speaker 1: in a pasture, living in a thriving ecosystem, providing ecosystem

1609
01:24:06,720 --> 01:24:11,840
Speaker 1: services up cycling protein UM in a way that again

1610
01:24:11,920 --> 01:24:16,000
Speaker 1: we've evolved for millions of years UM to support. Now

1611
01:24:16,040 --> 01:24:21,439
Speaker 1: that happens without any effort every day all around the world,

1612
01:24:22,479 --> 01:24:25,360
Speaker 1: and the few functioning ecosystems we have left, I can't

1613
01:24:25,360 --> 01:24:27,880
Speaker 1: think of anything more efficient than that. And I can't

1614
01:24:27,880 --> 01:24:34,000
Speaker 1: think of any way of involving PhDs, intellectual property laboratories,

1615
01:24:34,360 --> 01:24:39,000
Speaker 1: more processing, more transportation that will cause that to be

1616
01:24:39,080 --> 01:24:44,800
Speaker 1: more efficient. Yeah, well, you know, shifting a little bit um,

1617
01:24:44,840 --> 01:24:46,599
Speaker 1: because this is an important part of this as we

1618
01:24:46,600 --> 01:24:48,760
Speaker 1: moved through it, but shifting a little bit to the

1619
01:24:48,800 --> 01:24:52,760
Speaker 1: idea of the term meat right because you because I

1620
01:24:52,880 --> 01:24:56,320
Speaker 1: heard I heard from Nick a couple of times that, uh,

1621
01:24:56,439 --> 01:24:58,800
Speaker 1: the way we treat animals right now is unnatural. And

1622
01:24:58,840 --> 01:25:03,720
Speaker 1: again my opinion aside, there may or may not be

1623
01:25:03,760 --> 01:25:05,880
Speaker 1: a straw man there, but that's his point was that

1624
01:25:05,880 --> 01:25:08,639
Speaker 1: the you know, what we do with with animal agriculture

1625
01:25:08,680 --> 01:25:11,800
Speaker 1: right now is unnatural in and of itself. UM. So

1626
01:25:11,880 --> 01:25:16,439
Speaker 1: inside of that, he's also talking about what we call

1627
01:25:16,560 --> 01:25:19,160
Speaker 1: these things. You know, you have a company that sells meat,

1628
01:25:20,200 --> 01:25:22,280
Speaker 1: and according to him, he has a company that sells

1629
01:25:22,360 --> 01:25:25,320
Speaker 1: quote unquote meat. So how do you look at that?

1630
01:25:25,439 --> 01:25:28,960
Speaker 1: How do you look at, um, the intention and justification

1631
01:25:29,000 --> 01:25:31,439
Speaker 1: of using a term like meat. They use the term

1632
01:25:31,520 --> 01:25:34,360
Speaker 1: beef and pork and other things. I know you've heard

1633
01:25:34,520 --> 01:25:38,400
Speaker 1: their CEO explain it and probably heard Nick explain it. Um,

1634
01:25:38,479 --> 01:25:40,960
Speaker 1: how do you walk through that logically? Because I struggle

1635
01:25:41,000 --> 01:25:43,560
Speaker 1: with it and I told Nick that, UM, I absolutely

1636
01:25:43,600 --> 01:25:47,880
Speaker 1: struggle with this part of it. Yeah, you know, I

1637
01:25:48,320 --> 01:25:50,320
Speaker 1: get it. I get why they're doing it, right. You

1638
01:25:50,320 --> 01:25:56,200
Speaker 1: know they're trying to you know that they would probably

1639
01:25:56,200 --> 01:26:00,120
Speaker 1: say convinced. I would say, to see if UM consumers

1640
01:26:00,160 --> 01:26:03,320
Speaker 1: that you know, they're creating a product that that that

1641
01:26:03,479 --> 01:26:09,800
Speaker 1: is familiar and natural and safe and honest. Um. But

1642
01:26:10,120 --> 01:26:12,360
Speaker 1: it doesn't take long to look up you know, the

1643
01:26:12,400 --> 01:26:14,360
Speaker 1: definition of meat to find out that that's not what

1644
01:26:14,400 --> 01:26:18,559
Speaker 1: they're creating. UM. It's a large industry that they want

1645
01:26:18,600 --> 01:26:23,280
Speaker 1: to take share from UM, and they're trying to do

1646
01:26:23,320 --> 01:26:26,880
Speaker 1: it in the most efficient way, UM, with the most

1647
01:26:26,880 --> 01:26:30,360
Speaker 1: savvy marketing. I mean, really, it's just sort of rinse

1648
01:26:30,439 --> 01:26:35,800
Speaker 1: and repeat the playbook of UM, any major multibillion dollar

1649
01:26:35,880 --> 01:26:40,080
Speaker 1: international corporation, right, a little bit of misdirection, a little

1650
01:26:40,120 --> 01:26:43,360
Speaker 1: bit of lack of transparency, and a lot of telling

1651
01:26:43,400 --> 01:26:47,040
Speaker 1: people what they want to hear. Yeah, what do you got?

1652
01:26:47,120 --> 01:26:48,920
Speaker 1: What do you tell people? You know, when people come

1653
01:26:48,960 --> 01:26:51,400
Speaker 1: to you and say why should I buy meat from

1654
01:26:51,439 --> 01:26:54,880
Speaker 1: force of nature? UM? That it's kind of that has

1655
01:26:54,920 --> 01:26:57,519
Speaker 1: baked within it this idea of regenerative agriculture and this

1656
01:26:57,600 --> 01:27:00,920
Speaker 1: idea of doing doing things a different way, a better way.

1657
01:27:00,960 --> 01:27:05,960
Speaker 1: What do you how do you explain the value proposition there? Yeah? Well,

1658
01:27:05,960 --> 01:27:07,920
Speaker 1: I mean there's there's a lot of different approaches and

1659
01:27:07,960 --> 01:27:10,240
Speaker 1: it's a it's a complicated conversation. It's really hard to

1660
01:27:10,280 --> 01:27:13,400
Speaker 1: have because there's there's so many things that are impacted

1661
01:27:13,439 --> 01:27:18,240
Speaker 1: and and and and and paths to take UM. You know,

1662
01:27:18,360 --> 01:27:21,920
Speaker 1: the I think that the starting point is if we

1663
01:27:22,000 --> 01:27:26,200
Speaker 1: want to be able to have healthy food in the future,

1664
01:27:26,680 --> 01:27:29,000
Speaker 1: we need to make some changes. We want to be

1665
01:27:29,000 --> 01:27:31,920
Speaker 1: able to have widely available food in the future in

1666
01:27:31,960 --> 01:27:33,800
Speaker 1: the form that we know it today, we need to

1667
01:27:33,800 --> 01:27:36,959
Speaker 1: make some changes. Um. If we want to have farmers

1668
01:27:37,000 --> 01:27:39,800
Speaker 1: and rural communities across the world growing our food who

1669
01:27:39,840 --> 01:27:42,400
Speaker 1: we trust and have our best interest at heart, we

1670
01:27:42,479 --> 01:27:45,120
Speaker 1: need to make some changes. Um. If we want to

1671
01:27:45,160 --> 01:27:50,320
Speaker 1: reverse the recent trend of the current generation of children

1672
01:27:50,479 --> 01:27:54,920
Speaker 1: having shorter life expectancies than the parents, we need to

1673
01:27:54,960 --> 01:27:59,439
Speaker 1: make some changes. Right. And so the reality is we've

1674
01:27:59,479 --> 01:28:04,240
Speaker 1: gone from talked about, you know, intensive agriculture, chemical agriculture again,

1675
01:28:04,280 --> 01:28:06,840
Speaker 1: there's myriads of challenges that creates in the ecosystem that

1676
01:28:06,920 --> 01:28:08,800
Speaker 1: mean there's a shelf life that is not something that

1677
01:28:08,840 --> 01:28:12,439
Speaker 1: we can continue to do indefinitely. We are degrading our lands,

1678
01:28:12,479 --> 01:28:15,360
Speaker 1: we are desertifying our lands. We're losing our top soils.

1679
01:28:16,000 --> 01:28:18,720
Speaker 1: We have to figure out a way to rebuild or

1680
01:28:18,840 --> 01:28:21,160
Speaker 1: regenerate those lands if we want to continue to produce

1681
01:28:21,200 --> 01:28:25,880
Speaker 1: food on them. We've also lost nutrition, right, We've lost

1682
01:28:26,000 --> 01:28:28,840
Speaker 1: the bioavailability of that nutrition and our food. And it

1683
01:28:28,880 --> 01:28:33,120
Speaker 1: turns out that healthy functioning ecosystems that created the fertility

1684
01:28:33,160 --> 01:28:35,840
Speaker 1: we've been mining for the last you know, two generations

1685
01:28:36,360 --> 01:28:41,800
Speaker 1: can be rebuilt to return that nutrition. Right. So you know,

1686
01:28:41,840 --> 01:28:44,000
Speaker 1: if if you have a vested interest in the human

1687
01:28:44,040 --> 01:28:48,800
Speaker 1: species continuing to populate this planet, I have the best

1688
01:28:48,800 --> 01:28:52,519
Speaker 1: solution for you. Yeah. And it sounds you know as

1689
01:28:52,560 --> 01:28:54,840
Speaker 1: I talked to Nick and and and we've talked as

1690
01:28:55,000 --> 01:28:57,519
Speaker 1: even this conversation here do you talk there? You know,

1691
01:28:57,600 --> 01:29:00,320
Speaker 1: you're I would say, and you can telling me if

1692
01:29:00,320 --> 01:29:02,360
Speaker 1: I'm ready wrong, that you're preaching kind of a return

1693
01:29:02,520 --> 01:29:08,360
Speaker 1: to a natural order. They, it seems, are preaching a

1694
01:29:08,439 --> 01:29:13,040
Speaker 1: new world order, especially you know, juxtaposed to what we

1695
01:29:13,080 --> 01:29:16,720
Speaker 1: have right now in terms of animal agriculture. So is

1696
01:29:16,760 --> 01:29:18,559
Speaker 1: that how you see it? Is that? Is that a

1697
01:29:18,560 --> 01:29:24,440
Speaker 1: good way to characterize these things? Uh? Actually, I'll say no, Um,

1698
01:29:24,800 --> 01:29:27,240
Speaker 1: I agree with your your your sentiment on on on

1699
01:29:27,400 --> 01:29:31,400
Speaker 1: the approach they're trying to take. UM, I mean new

1700
01:29:31,439 --> 01:29:35,120
Speaker 1: in the sense of eliminating um, one of the most

1701
01:29:35,160 --> 01:29:38,120
Speaker 1: fundamental food sources for all life on this planet through

1702
01:29:38,400 --> 01:29:44,240
Speaker 1: all time. UM. But but but not new in the

1703
01:29:44,280 --> 01:29:47,360
Speaker 1: sense of relying on one of the most devastating food

1704
01:29:47,400 --> 01:29:51,720
Speaker 1: systems that we've ever seen on this planet. Um. You know,

1705
01:29:51,880 --> 01:29:56,920
Speaker 1: for us. UM, it's not about turning the clock back necessarily,

1706
01:29:57,200 --> 01:30:00,360
Speaker 1: it's about looking back and taking lessons from the past.

1707
01:30:01,160 --> 01:30:04,479
Speaker 1: We have made tremendous advancements in science and biology and

1708
01:30:05,479 --> 01:30:08,200
Speaker 1: um you know, all of the sciences that study human

1709
01:30:08,240 --> 01:30:11,519
Speaker 1: evolution and and and our co our co evolvement and

1710
01:30:11,680 --> 01:30:14,639
Speaker 1: and and and the environment around us. We can apply

1711
01:30:15,320 --> 01:30:17,800
Speaker 1: those advancements to how we practice agriculture. So it's not

1712
01:30:17,840 --> 01:30:19,840
Speaker 1: simply we need to go back to how it was.

1713
01:30:20,200 --> 01:30:23,559
Speaker 1: It's more like we need to learn from nature and

1714
01:30:23,600 --> 01:30:26,200
Speaker 1: figure out a way to optimize all of the things

1715
01:30:26,280 --> 01:30:29,519
Speaker 1: that are necessary to promote stability UM and to avoid

1716
01:30:29,560 --> 01:30:33,679
Speaker 1: scarcity and and promote food security and create those outcomes

1717
01:30:33,680 --> 01:30:36,080
Speaker 1: that we talked about right, health and resiliency and and

1718
01:30:36,080 --> 01:30:40,599
Speaker 1: and sustainability. UM. So there's a new technology component to it, certainly,

1719
01:30:41,080 --> 01:30:44,680
Speaker 1: it's just not technology that's designed to combat nature. Right.

1720
01:30:45,200 --> 01:30:48,120
Speaker 1: The existing system. Literally, if you think about what a

1721
01:30:48,160 --> 01:30:51,439
Speaker 1: monoculture is, and this is what they promote, right, hundreds

1722
01:30:51,439 --> 01:30:56,479
Speaker 1: of thousands of square miles MHM, multiple percentage points. You know,

1723
01:30:56,600 --> 01:30:58,679
Speaker 1: ten percent of the land master of the United States

1724
01:30:58,680 --> 01:31:01,559
Speaker 1: alone is corn. Right. That is a single crop, a

1725
01:31:01,640 --> 01:31:06,440
Speaker 1: single organism spread over a vast area. It's absolutely a monoculture.

1726
01:31:06,479 --> 01:31:10,000
Speaker 1: It has destroyed native habitat. It is destroying soil of biology,

1727
01:31:10,080 --> 01:31:13,679
Speaker 1: it is the soying biology above the soil. It's causing erosion,

1728
01:31:13,840 --> 01:31:16,519
Speaker 1: It's causing run off, it's causing pollinator die off. It's

1729
01:31:16,560 --> 01:31:19,720
Speaker 1: promoting toxins in our water system, it's causing toxins in

1730
01:31:19,720 --> 01:31:22,600
Speaker 1: our food, is generating dead zones in the ocean. The

1731
01:31:22,640 --> 01:31:26,280
Speaker 1: e p A says soil is the number one pollutant

1732
01:31:26,280 --> 01:31:30,040
Speaker 1: in our water supply because of the consequences of the

1733
01:31:30,040 --> 01:31:34,639
Speaker 1: way that we practice agriculture. So I'm saying that's a problem.

1734
01:31:35,439 --> 01:31:37,719
Speaker 1: I'm saying we've got to acknowledge that problem. We've gotta

1735
01:31:37,760 --> 01:31:40,320
Speaker 1: look to the lessons of the world around us and say, hey,

1736
01:31:40,360 --> 01:31:43,880
Speaker 1: instead of fighting this thing, which is clearly a losing battle,

1737
01:31:44,240 --> 01:31:47,120
Speaker 1: how can we work with it and apply our incredible

1738
01:31:47,120 --> 01:31:50,160
Speaker 1: potential as a human species to adapt and evolve and

1739
01:31:50,200 --> 01:31:53,840
Speaker 1: take those lessons to create a better system. Yeah. I

1740
01:31:54,160 --> 01:31:56,240
Speaker 1: think the next the next thing to move to is

1741
01:31:56,240 --> 01:31:57,600
Speaker 1: is something that I don't think we got in the

1742
01:31:57,640 --> 01:31:59,679
Speaker 1: recording with Nick, but something him and I talked about

1743
01:31:59,720 --> 01:32:02,920
Speaker 1: after words in terms of regenerative agriculture, and I just said,

1744
01:32:02,960 --> 01:32:04,559
Speaker 1: you know, what do you think about regenerative and he

1745
01:32:04,720 --> 01:32:07,880
Speaker 1: and his paraphrasing his response that it was a it's

1746
01:32:07,880 --> 01:32:11,760
Speaker 1: a band aid, it's a small measure. It's not scalable.

1747
01:32:11,880 --> 01:32:14,000
Speaker 1: It's not it's not going to be impactful in the

1748
01:32:14,000 --> 01:32:17,720
Speaker 1: way that their version of change will be impactful on

1749
01:32:17,800 --> 01:32:21,479
Speaker 1: a global, international scale. What's what do you say to that?

1750
01:32:21,560 --> 01:32:27,519
Speaker 1: And how do you scale regenerative? Yeah, so the scale

1751
01:32:27,520 --> 01:32:30,120
Speaker 1: conversation is the is the one that you know, because

1752
01:32:30,120 --> 01:32:33,320
Speaker 1: regenerative is such a powerful tool and it and it

1753
01:32:35,080 --> 01:32:42,960
Speaker 1: counters um significantly. Every tactic that they use to attack

1754
01:32:43,080 --> 01:32:46,639
Speaker 1: me um. They try to say, don't look there, it's

1755
01:32:46,680 --> 01:32:51,120
Speaker 1: not scalable, right, you know, the reality is again subtle

1756
01:32:51,160 --> 01:32:55,760
Speaker 1: shifts UM can create a massive change and in order

1757
01:32:55,800 --> 01:32:58,920
Speaker 1: to finish all of the count as an example that

1758
01:32:59,000 --> 01:33:02,320
Speaker 1: we have in the United dates on grass um and

1759
01:33:02,400 --> 01:33:05,280
Speaker 1: further to even do it, intergenerative systems is absolutely within

1760
01:33:05,280 --> 01:33:08,840
Speaker 1: our grasp, right, numerous organizations have done research on this

1761
01:33:08,920 --> 01:33:11,600
Speaker 1: to validate it. And just as an example, right, you know,

1762
01:33:11,640 --> 01:33:14,559
Speaker 1: we have millions of acres of land um that are

1763
01:33:14,640 --> 01:33:19,040
Speaker 1: used to produce grains and other feed, specifically for cattle.

1764
01:33:20,439 --> 01:33:22,719
Speaker 1: We don't need to feed cattle. Those grains cattle can eat,

1765
01:33:23,240 --> 01:33:25,439
Speaker 1: you know, things that they can forbes and things that

1766
01:33:25,479 --> 01:33:27,120
Speaker 1: they can get off the land, as well as grasses

1767
01:33:27,120 --> 01:33:30,559
Speaker 1: and native ecosystems. Right, so we simply take that land

1768
01:33:31,560 --> 01:33:34,240
Speaker 1: and create functioning, healthy ecosystems. We start addressing all the

1769
01:33:34,280 --> 01:33:37,080
Speaker 1: things that we talked about, and we're finishing more animals

1770
01:33:37,080 --> 01:33:41,719
Speaker 1: on grass. Right. Half a billion acres in the United

1771
01:33:41,720 --> 01:33:45,920
Speaker 1: States is private land or conservation program land UM with

1772
01:33:45,920 --> 01:33:48,120
Speaker 1: with little occupancy of ruminants. Right, we know that we've

1773
01:33:48,120 --> 01:33:51,280
Speaker 1: seen declined in native ruminant species UM, and we know

1774
01:33:51,320 --> 01:33:53,400
Speaker 1: that a lot of private lands don't have animals on them.

1775
01:33:53,400 --> 01:33:56,960
Speaker 1: With without forcing anybody to do anything UM, just with

1776
01:33:57,000 --> 01:33:59,400
Speaker 1: the promise of saying, hey we can we can regenerate

1777
01:33:59,439 --> 01:34:01,599
Speaker 1: your land and prove it in preview diversity and with

1778
01:34:01,680 --> 01:34:04,599
Speaker 1: management make the land healthier, and we can also produce

1779
01:34:04,640 --> 01:34:07,439
Speaker 1: food on that land. Even utilizing a small portion of

1780
01:34:07,479 --> 01:34:11,519
Speaker 1: that land, UM can generate a massive opportunity UM to

1781
01:34:12,160 --> 01:34:16,320
Speaker 1: again scale regenerative agriculture and finish ruminants on on grass.

1782
01:34:16,360 --> 01:34:20,200
Speaker 1: There's another half a billion acres of land and our

1783
01:34:20,600 --> 01:34:24,440
Speaker 1: monoculture crops system, where again, if we're adopting regenerative practices.

1784
01:34:24,880 --> 01:34:27,559
Speaker 1: We should be incorporating animals into those lands and allowing

1785
01:34:27,560 --> 01:34:30,479
Speaker 1: them to you know, at a at a national scale,

1786
01:34:31,000 --> 01:34:33,920
Speaker 1: feed on the residues the byproduct of human food production,

1787
01:34:34,120 --> 01:34:38,920
Speaker 1: and create the fertilizer and create the moisture and you know,

1788
01:34:39,200 --> 01:34:43,160
Speaker 1: provide the nourishment for the rizal sphere of the life

1789
01:34:43,160 --> 01:34:45,400
Speaker 1: beneath the soil, and do all of the things, um,

1790
01:34:45,439 --> 01:34:48,280
Speaker 1: that we need to do to again improve the ecosystem

1791
01:34:48,400 --> 01:34:52,760
Speaker 1: while finishing more animals on grass and regenerative systems. Um.

1792
01:34:52,800 --> 01:34:55,479
Speaker 1: I mean, just as a silly example, right, there's eighty

1793
01:34:55,520 --> 01:34:58,759
Speaker 1: million acres of of of corn crops in the US

1794
01:34:58,800 --> 01:35:03,680
Speaker 1: and about that strictly made um raised for for the

1795
01:35:03,680 --> 01:35:07,640
Speaker 1: production of ethanol, which is a biofuel. So here we

1796
01:35:07,680 --> 01:35:11,120
Speaker 1: are taking something with a with an adverse carbon footprint

1797
01:35:11,560 --> 01:35:15,200
Speaker 1: to create an allegedly green product. Right. Um, that's that's

1798
01:35:15,240 --> 01:35:18,080
Speaker 1: an upside down logic, right, what if we just put

1799
01:35:18,680 --> 01:35:20,920
Speaker 1: cattle on that? So not only do we have enough land,

1800
01:35:21,280 --> 01:35:23,320
Speaker 1: we have more than enough land. We have enough land

1801
01:35:23,320 --> 01:35:25,880
Speaker 1: to grow the number of room minutes and finish animals

1802
01:35:25,960 --> 01:35:29,160
Speaker 1: on on grass. Yeah, I think this is something I

1803
01:35:29,600 --> 01:35:31,320
Speaker 1: you know, you and I for fairness, You and I

1804
01:35:31,320 --> 01:35:35,440
Speaker 1: have talked about this before, um, in terms of impossible approach,

1805
01:35:35,720 --> 01:35:39,200
Speaker 1: in terms of the plant based meat approach. UM. I

1806
01:35:39,240 --> 01:35:41,360
Speaker 1: think it's it's you've kind of already touched on it there.

1807
01:35:41,360 --> 01:35:43,519
Speaker 1: But I asked Nick, you know, where do all if

1808
01:35:43,640 --> 01:35:46,519
Speaker 1: we're going to eliminate animal agriculture, where did the hundreds

1809
01:35:46,560 --> 01:35:49,920
Speaker 1: of millions of animals go that we currently are housing

1810
01:35:49,960 --> 01:35:54,240
Speaker 1: as a country. Um? What happens to the land, the farmers,

1811
01:35:54,320 --> 01:36:00,400
Speaker 1: the community. I asked Nick about his vision for America.

1812
01:36:00,560 --> 01:36:03,760
Speaker 1: What does rural Iowa look like? If there there's no

1813
01:36:03,800 --> 01:36:07,680
Speaker 1: cows walking around them, it's all plant based agriculture. I

1814
01:36:07,680 --> 01:36:10,320
Speaker 1: would ask you this similar question. You know, what's your

1815
01:36:10,439 --> 01:36:14,160
Speaker 1: vision for you know, decades down the roads as we

1816
01:36:14,479 --> 01:36:18,200
Speaker 1: as we would in this case accelerate regenerative agriculture. What's

1817
01:36:18,200 --> 01:36:22,160
Speaker 1: America look like? What's what's your vision for everything? Yeah?

1818
01:36:22,160 --> 01:36:23,559
Speaker 1: I mean, I think I think that we take a

1819
01:36:23,600 --> 01:36:26,479
Speaker 1: more balanced approach to the way that we practice agriculture, right,

1820
01:36:26,520 --> 01:36:30,040
Speaker 1: and we expand the footprint over generative agriculture. Again, we

1821
01:36:30,120 --> 01:36:32,920
Speaker 1: need to in order to continue to produce food, UM,

1822
01:36:32,960 --> 01:36:38,839
Speaker 1: we need to to create healthier food. UM. The this

1823
01:36:38,840 --> 01:36:41,920
Speaker 1: this dichotomy of it's either A or B. It's black

1824
01:36:42,080 --> 01:36:45,200
Speaker 1: or white, it's plants or its animals. Um, it's part

1825
01:36:45,200 --> 01:36:47,479
Speaker 1: of the problem. Right, Where in nature do you see

1826
01:36:48,520 --> 01:36:55,080
Speaker 1: thriving ecosystems without animals? Where in nature do you see monocultures? Right?

1827
01:36:55,160 --> 01:36:58,960
Speaker 1: These are not natural things? Um. It means that we're

1828
01:36:58,960 --> 01:37:03,080
Speaker 1: there's lost potential there. UM. So for me, that the

1829
01:37:03,120 --> 01:37:07,600
Speaker 1: future looks like farming and ranching um in in in

1830
01:37:08,120 --> 01:37:12,800
Speaker 1: rural and regional areas where we're creating more products than

1831
01:37:13,040 --> 01:37:16,320
Speaker 1: corn and soybeans and wheat that we're exporting all over

1832
01:37:16,360 --> 01:37:20,040
Speaker 1: the planet. Instead, we're returning to creating an abundance of

1833
01:37:20,080 --> 01:37:23,439
Speaker 1: different crops um, or I should say a multitude excuse me,

1834
01:37:23,479 --> 01:37:25,280
Speaker 1: of different crop foods that we can that we as

1835
01:37:25,320 --> 01:37:28,640
Speaker 1: humans can eat, right, and that we're incorporating animals in

1836
01:37:28,640 --> 01:37:32,080
Speaker 1: a way um that promotes the production of that diversity

1837
01:37:32,080 --> 01:37:34,800
Speaker 1: of crops and that creates um, you know, a sort

1838
01:37:34,840 --> 01:37:39,679
Speaker 1: of hedging additional revenue streams for farmers um and ranchers UM.

1839
01:37:39,720 --> 01:37:42,599
Speaker 1: That creates an opportunity to to bring in animals where

1840
01:37:43,000 --> 01:37:46,519
Speaker 1: you know, let's just say that the forty of food

1841
01:37:46,560 --> 01:37:49,000
Speaker 1: waste that we have in this country. You know, we

1842
01:37:49,040 --> 01:37:51,200
Speaker 1: can be using that to feed some of the monogastrics

1843
01:37:51,240 --> 01:37:55,719
Speaker 1: like chicken, um and pork, right um. And I think

1844
01:37:55,880 --> 01:38:01,720
Speaker 1: that opportunities to I'd identify, you know, space that's not

1845
01:38:01,760 --> 01:38:06,040
Speaker 1: currently being managed um and and and and add animals

1846
01:38:06,040 --> 01:38:08,600
Speaker 1: to it into a system that is being managed thoughtfully

1847
01:38:09,000 --> 01:38:13,880
Speaker 1: will help to rebuild native ecosystems, right. Um. Creating the

1848
01:38:13,920 --> 01:38:17,720
Speaker 1: balance playing the role of keystone species in nature that

1849
01:38:17,720 --> 01:38:21,559
Speaker 1: we've since removed or that we've since prohibited from playing

1850
01:38:21,920 --> 01:38:25,599
Speaker 1: their role in an ecosystem due to infrastructure like fenses

1851
01:38:25,640 --> 01:38:28,519
Speaker 1: and things like that. Right, we don't have herds of

1852
01:38:28,520 --> 01:38:31,360
Speaker 1: of sixty million plus buys and roaming across the entire

1853
01:38:31,400 --> 01:38:35,080
Speaker 1: continent pushed by wolves. Right. We don't have all of

1854
01:38:35,080 --> 01:38:39,680
Speaker 1: these key elements in place to simply just rewild it. Um.

1855
01:38:39,720 --> 01:38:41,960
Speaker 1: We need to be involved in that, in that recovery

1856
01:38:41,960 --> 01:38:44,439
Speaker 1: and that healing process. And there's a way to produce

1857
01:38:44,760 --> 01:38:47,360
Speaker 1: more than enough food to feed ourselves, um and to

1858
01:38:47,680 --> 01:38:50,200
Speaker 1: and to do it in a lasting manner, and to

1859
01:38:50,200 --> 01:38:52,200
Speaker 1: do it in a way that improves our health. And

1860
01:38:52,200 --> 01:38:56,320
Speaker 1: it does not require intensive chemical inputs, and it does

1861
01:38:56,360 --> 01:39:00,599
Speaker 1: not require ultra process food with synthetics. Add a tives

1862
01:39:00,640 --> 01:39:04,640
Speaker 1: and oil stabilizers and you know all of this garbage

1863
01:39:04,680 --> 01:39:07,880
Speaker 1: that's leading to the health declient across the globe. Yeah,

1864
01:39:08,080 --> 01:39:10,400
Speaker 1: do you you know there's a lot of and I

1865
01:39:10,439 --> 01:39:13,160
Speaker 1: think many and many of these arguments, well arguments, not

1866
01:39:13,200 --> 01:39:15,400
Speaker 1: an argument, and many of these issues. I think you

1867
01:39:15,400 --> 01:39:18,960
Speaker 1: you know, with Nick and impossible with you enforce nation

1868
01:39:19,000 --> 01:39:21,240
Speaker 1: from each and many of the companies that are driving

1869
01:39:21,240 --> 01:39:24,880
Speaker 1: to to find solutions to these issues. UM. I want

1870
01:39:24,920 --> 01:39:27,160
Speaker 1: to make sure, as as people have probably heard me

1871
01:39:27,439 --> 01:39:30,040
Speaker 1: say in the past, that we're not essentially talking past

1872
01:39:30,080 --> 01:39:32,240
Speaker 1: each other. We're not talking about complete different issues. And

1873
01:39:32,280 --> 01:39:34,960
Speaker 1: one of the good things that's come out of listening

1874
01:39:34,960 --> 01:39:37,280
Speaker 1: to Nick speak and listening to you Robbie speak is

1875
01:39:37,280 --> 01:39:41,000
Speaker 1: that there's a lot of similar language. Biodiversity comes up

1876
01:39:41,000 --> 01:39:44,559
Speaker 1: a lot, healthy ecosystem comes up a lot, I think

1877
01:39:44,600 --> 01:39:48,880
Speaker 1: a a mutual disdain for factory farming UM seems to

1878
01:39:48,920 --> 01:39:52,600
Speaker 1: be seems to be there at least factory animal agriculture

1879
01:39:52,640 --> 01:39:54,479
Speaker 1: as it is, And so there are there are a

1880
01:39:54,479 --> 01:39:58,400
Speaker 1: lot of common threads UM happening here. Do you do

1881
01:39:58,479 --> 01:40:01,920
Speaker 1: you feel like, from from where you sit, there's a

1882
01:40:01,960 --> 01:40:05,320
Speaker 1: way for these things to coexist? If if if it

1883
01:40:05,400 --> 01:40:09,400
Speaker 1: seems like to me, UM, impossible would need to come

1884
01:40:09,439 --> 01:40:12,560
Speaker 1: a little bit closer to your end because they're saying no,

1885
01:40:12,560 --> 01:40:17,320
Speaker 1: no animal products in our food system at all. UM.

1886
01:40:17,360 --> 01:40:18,720
Speaker 1: But is there a way do you think that this

1887
01:40:18,760 --> 01:40:22,080
Speaker 1: can it can come together and both of these solution

1888
01:40:22,160 --> 01:40:30,360
Speaker 1: oriented approaches could could work together in a way. I mean,

1889
01:40:32,600 --> 01:40:37,160
Speaker 1: I don't understand how they're approach is a solution to anything.

1890
01:40:37,720 --> 01:40:41,280
Speaker 1: Their approaches is based on an ideology of eliminating animals,

1891
01:40:42,160 --> 01:40:47,720
Speaker 1: and they're leveraging um, a population of people that that

1892
01:40:47,880 --> 01:40:52,280
Speaker 1: strongly adheres and is convicted towards promoting that same agenda, UM,

1893
01:40:52,320 --> 01:40:57,040
Speaker 1: in order to promote their own agenda of patenting you know,

1894
01:40:57,080 --> 01:41:02,000
Speaker 1: technology and turning that into profits. UM. I fail to

1895
01:41:02,000 --> 01:41:08,040
Speaker 1: see anywhere where they're actually proposing solutions to the merit

1896
01:41:08,120 --> 01:41:10,960
Speaker 1: of challenges UM that we've been discussing, right, and many

1897
01:41:11,000 --> 01:41:14,280
Speaker 1: of which they even they even make claims themselves to

1898
01:41:14,400 --> 01:41:17,400
Speaker 1: be you know, solutions oriented, as you noted towards right.

1899
01:41:17,439 --> 01:41:19,479
Speaker 1: So I'd love to know specifically from them to be

1900
01:41:19,520 --> 01:41:21,800
Speaker 1: able to answer that question, what are they doing to

1901
01:41:21,880 --> 01:41:26,040
Speaker 1: improve soil health? What are they actually tactically doing to

1902
01:41:26,160 --> 01:41:29,800
Speaker 1: restore habitat in a way that is legitimate and achievable.

1903
01:41:30,160 --> 01:41:32,920
Speaker 1: How are they combating erosion? How are they combating the

1904
01:41:32,960 --> 01:41:37,599
Speaker 1: intensive use of toxins in our agriculture system that finds

1905
01:41:37,600 --> 01:41:40,639
Speaker 1: its way into our food and into our water. Then

1906
01:41:40,640 --> 01:41:44,479
Speaker 1: it's and breast milk. Okay, you know, what are they

1907
01:41:44,520 --> 01:41:47,800
Speaker 1: doing to address dead zones and oceans? What are they

1908
01:41:47,840 --> 01:41:51,240
Speaker 1: doing to address you know, pollinator collapse one of the

1909
01:41:51,360 --> 01:41:56,679
Speaker 1: greatest issues facing our our our global society, and flooding

1910
01:41:56,760 --> 01:41:58,519
Speaker 1: and drought tolerance and so on. Right, I mean, they

1911
01:41:58,520 --> 01:42:01,600
Speaker 1: are literally doubling down on the very system that I

1912
01:42:01,640 --> 01:42:04,639
Speaker 1: am trying to fight to change. So I don't see

1913
01:42:04,720 --> 01:42:07,520
Speaker 1: a lot of middle ground, right. I appreciate their conviction

1914
01:42:07,600 --> 01:42:11,040
Speaker 1: towards what they say, right trying to create a better meat.

1915
01:42:13,280 --> 01:42:17,600
Speaker 1: I appreciate that they're trying to eliminate the use of animals,

1916
01:42:17,600 --> 01:42:20,840
Speaker 1: but I see nothing and they're follow through that's going

1917
01:42:20,880 --> 01:42:23,719
Speaker 1: to actually generate or yield those results. And I actually

1918
01:42:23,760 --> 01:42:28,960
Speaker 1: see disingenuous methods used to cast stones at an industry

1919
01:42:28,960 --> 01:42:31,800
Speaker 1: that is actually providing solutions. And I'd love to talk

1920
01:42:32,400 --> 01:42:35,840
Speaker 1: specifically to some of the things about carbon emissions and

1921
01:42:35,880 --> 01:42:40,840
Speaker 1: water use because those are some of the most frustrating

1922
01:42:41,320 --> 01:42:44,760
Speaker 1: tactics that they use, and if I can share just

1923
01:42:44,960 --> 01:42:48,720
Speaker 1: how profound the reality is compared to what they say,

1924
01:42:48,840 --> 01:42:50,799
Speaker 1: I think a lot of the listeners would would appreciate

1925
01:42:50,800 --> 01:42:53,720
Speaker 1: that as well. Go for it. You know, I think

1926
01:42:54,400 --> 01:42:57,960
Speaker 1: I don't want to preach forever about carbon because again

1927
01:42:57,960 --> 01:43:00,360
Speaker 1: I think there's there's so much more. I think when

1928
01:43:00,400 --> 01:43:03,240
Speaker 1: it comes to impossible specifically and in their stance not

1929
01:43:03,320 --> 01:43:10,280
Speaker 1: only on animal agriculture, but specifically regenerative agriculture. UM, you

1930
01:43:10,360 --> 01:43:12,519
Speaker 1: gotta look at it in in two ways. What's the

1931
01:43:12,600 --> 01:43:14,840
Speaker 1: what is the true power and the true result of

1932
01:43:14,920 --> 01:43:17,120
Speaker 1: regenerative agriculture when it comes to carbon, And then what's

1933
01:43:17,160 --> 01:43:20,120
Speaker 1: the truth about carbon and agriculture generally relative to their claims?

1934
01:43:20,800 --> 01:43:24,439
Speaker 1: First one, in the power of regenerative actually participated in

1935
01:43:24,439 --> 01:43:28,200
Speaker 1: in in an organization that was able to, you know,

1936
01:43:29,240 --> 01:43:31,840
Speaker 1: have a life cycle assessment, a cradle to grave so

1937
01:43:31,920 --> 01:43:37,960
Speaker 1: to speak, scientific evaluation of everything from an animal being born,

1938
01:43:38,080 --> 01:43:40,080
Speaker 1: to any inputs that are brought into the system, to

1939
01:43:40,120 --> 01:43:43,559
Speaker 1: the transportation of animals, every single factor that can that

1940
01:43:43,640 --> 01:43:45,920
Speaker 1: can exist that can create a carbon foot print in

1941
01:43:45,920 --> 01:43:50,120
Speaker 1: a life of a of an animal. UM that was

1942
01:43:50,120 --> 01:43:53,479
Speaker 1: conducted by Quantis labs at a at a ranch and

1943
01:43:53,520 --> 01:43:57,120
Speaker 1: bluffed in Georgia called White of Pastures Okay. Quantis Labs

1944
01:43:57,160 --> 01:44:00,160
Speaker 1: is the exact same organization that performed the exact same

1945
01:44:00,280 --> 01:44:05,280
Speaker 1: scientific study four Impossible Foods. That's Impossible Foods also engaged

1946
01:44:05,320 --> 01:44:07,760
Speaker 1: with to perform their l c A. The results of

1947
01:44:07,760 --> 01:44:10,280
Speaker 1: those exact two studies under that exact same science from

1948
01:44:10,280 --> 01:44:14,599
Speaker 1: that exact same organization wide Oak Pastures. For every pound

1949
01:44:14,840 --> 01:44:17,679
Speaker 1: of beef, they produce sequesters three and a half pounds

1950
01:44:17,680 --> 01:44:21,439
Speaker 1: of carbon equivalence out of the atmosphere and into the soil. Okay.

1951
01:44:21,439 --> 01:44:24,160
Speaker 1: So it's not emitting carbon like everybody's talking about. It's

1952
01:44:24,160 --> 01:44:25,720
Speaker 1: pulling it out of the atmosphere and putting into the

1953
01:44:25,720 --> 01:44:28,640
Speaker 1: ground where it needs to be to promote healthy ecosystems,

1954
01:44:28,960 --> 01:44:30,680
Speaker 1: to store water, to do all the things that we've

1955
01:44:30,680 --> 01:44:32,880
Speaker 1: talked about in the last episode in this one, So

1956
01:44:32,880 --> 01:44:35,080
Speaker 1: what are the possible as l c A say, For

1957
01:44:35,160 --> 01:44:40,000
Speaker 1: every pound of this hyper ultra processed food that Impossible creates,

1958
01:44:40,280 --> 01:44:42,920
Speaker 1: they are emitting three and a half pounds of carbon

1959
01:44:42,960 --> 01:44:47,280
Speaker 1: equivalents into the atmosphere. That's a delta of seven pounds

1960
01:44:47,680 --> 01:44:50,479
Speaker 1: difference in carbon equivalence being emitted in the atmosphere between

1961
01:44:50,479 --> 01:44:54,880
Speaker 1: a regenerative system per pound of product and impossible. And

1962
01:44:54,920 --> 01:44:56,920
Speaker 1: yet they're patting themselves on the back for being this

1963
01:44:57,600 --> 01:45:00,680
Speaker 1: great solution as they're continuing to pump carbon and the atmosphere.

1964
01:45:00,960 --> 01:45:03,640
Speaker 1: So it's absurd that that would ever make a claim

1965
01:45:03,680 --> 01:45:08,120
Speaker 1: that regenerative isn't isn't a solution. Right. The other thing

1966
01:45:08,160 --> 01:45:11,200
Speaker 1: they do is continue to bring up antiquated data that

1967
01:45:11,240 --> 01:45:20,840
Speaker 1: has been admittedly challenged um and reproduce so they reference this.

1968
01:45:21,120 --> 01:45:26,160
Speaker 1: You know, animal production contributes to more greenhouse gas emissions

1969
01:45:26,160 --> 01:45:28,160
Speaker 1: than transportation, right, and you're like, oh my gosh, I

1970
01:45:28,200 --> 01:45:29,960
Speaker 1: think of all the planes and all the cars and

1971
01:45:29,960 --> 01:45:31,800
Speaker 1: all the trains and all the boats and all the

1972
01:45:32,200 --> 01:45:34,040
Speaker 1: all the things that we do for transportation. That's a

1973
01:45:34,120 --> 01:45:36,240
Speaker 1: lot of greenhouse gas emissions. I can't believe how terrible

1974
01:45:36,280 --> 01:45:39,120
Speaker 1: these animals are. Right, it's not the case. That study

1975
01:45:39,200 --> 01:45:41,360
Speaker 1: was conducted back in like two thousand three or two

1976
01:45:41,400 --> 01:45:43,680
Speaker 1: thousand six or something, and when they realized that they

1977
01:45:43,680 --> 01:45:46,880
Speaker 1: made an error, they corrected the study. And then the

1978
01:45:46,920 --> 01:45:48,800
Speaker 1: same body that did that, it was actually the Food

1979
01:45:48,800 --> 01:45:52,560
Speaker 1: and Agriculture of the United Nations Food and Agricultural Organization

1980
01:45:52,920 --> 01:45:57,639
Speaker 1: reissued the study and says that direct the direct impact

1981
01:45:57,800 --> 01:46:02,559
Speaker 1: of animal agriculture and cargon carbon emissions is actually less

1982
01:46:02,600 --> 01:46:05,439
Speaker 1: than the third of what transportation is. But that doesn't

1983
01:46:05,439 --> 01:46:10,080
Speaker 1: stop organizations like Impossible from choosing to be an illectually

1984
01:46:10,080 --> 01:46:14,120
Speaker 1: dishonest and promote a talking point that has been since

1985
01:46:14,479 --> 01:46:18,799
Speaker 1: adjusted and corrected, which I think is just completely appalling.

1986
01:46:19,479 --> 01:46:21,519
Speaker 1: And then on the water issue, it's it's the exact

1987
01:46:21,600 --> 01:46:24,880
Speaker 1: same thing. So on the water issue, you've got to

1988
01:46:24,960 --> 01:46:27,960
Speaker 1: understand that there's there's again without getting to science and

1989
01:46:28,040 --> 01:46:30,240
Speaker 1: complicated when you look at water use in these sorts,

1990
01:46:30,280 --> 01:46:31,960
Speaker 1: in these sorts of ways, you look at green water

1991
01:46:32,680 --> 01:46:35,080
Speaker 1: and blue water and gray water, and gray water won't

1992
01:46:35,080 --> 01:46:37,280
Speaker 1: get into because it's complicated and it's not really relevant

1993
01:46:37,280 --> 01:46:39,599
Speaker 1: for for what I'm about to share. But green waters rain,

1994
01:46:40,800 --> 01:46:44,080
Speaker 1: and blue water is water, you know, pumped from lakes

1995
01:46:44,160 --> 01:46:47,360
Speaker 1: or rivers or aquifers, right, And it's that blue water

1996
01:46:47,479 --> 01:46:50,880
Speaker 1: where you think of filling a bath tub or running

1997
01:46:50,880 --> 01:46:53,760
Speaker 1: an irrigation system or pulling water out of the sink

1998
01:46:54,160 --> 01:46:59,439
Speaker 1: that everybody is most um is most thoughtful of, and

1999
01:47:00,240 --> 01:47:05,960
Speaker 1: most of the UM quotes that you hear on water

2000
01:47:06,080 --> 01:47:10,519
Speaker 1: use and animal agriculture is speaking about green water. It's

2001
01:47:10,560 --> 01:47:15,120
Speaker 1: it's and a grass finished animal of the water use

2002
01:47:15,160 --> 01:47:17,240
Speaker 1: of that animal is from rain. And when I say rain,

2003
01:47:17,360 --> 01:47:21,160
Speaker 1: I mean rain falling from the sky infiltrating the soil,

2004
01:47:21,439 --> 01:47:26,040
Speaker 1: causing plants to grow, filling aquifers, filling lakes. Whatever the

2005
01:47:26,080 --> 01:47:29,559
Speaker 1: animal may drink, urinate, defecate back on the land, some

2006
01:47:29,640 --> 01:47:33,679
Speaker 1: of that water will evaporate. It's just natural water raining

2007
01:47:33,720 --> 01:47:36,759
Speaker 1: from the sky and a functioning ecosystem like we all

2008
01:47:37,160 --> 01:47:40,080
Speaker 1: you know, imagine the elk that you hunt or the

2009
01:47:40,080 --> 01:47:43,000
Speaker 1: deer that we hunt, or et cetera. Right, um, In

2010
01:47:43,080 --> 01:47:46,639
Speaker 1: the most conventional systems of the water use of of

2011
01:47:46,840 --> 01:47:51,320
Speaker 1: beef is attributed to rain. So it's it's completely dishonest,

2012
01:47:52,040 --> 01:47:55,599
Speaker 1: right only and only something like five, you know, less

2013
01:47:55,600 --> 01:48:00,320
Speaker 1: than five of water use and and beef per duction

2014
01:48:00,760 --> 01:48:02,559
Speaker 1: is coming from water being pumped out of the ground

2015
01:48:02,560 --> 01:48:05,599
Speaker 1: and spread somewhere or brought somewhere or what exactly. Everybody

2016
01:48:05,640 --> 01:48:07,880
Speaker 1: thinks when they think of oh, no intensive water, right,

2017
01:48:08,200 --> 01:48:11,640
Speaker 1: they don't realize that raising cattle is less intensive or

2018
01:48:11,760 --> 01:48:16,000
Speaker 1: less exhaustive on water resources as say raising almonds in

2019
01:48:16,040 --> 01:48:20,519
Speaker 1: California or raising rice anywhere in the world. I think,

2020
01:48:20,520 --> 01:48:23,400
Speaker 1: in response to what you just laid out there. I

2021
01:48:23,439 --> 01:48:29,000
Speaker 1: was reading a letter from Impossible CEO and founder Pat Brown.

2022
01:48:29,160 --> 01:48:30,479
Speaker 1: I mean, he's one of the one he's one of

2023
01:48:30,479 --> 01:48:35,040
Speaker 1: the most outspoken critics of animal agriculture, and he is

2024
01:48:35,080 --> 01:48:37,720
Speaker 1: the voice and face of Impossible. Even though we were

2025
01:48:37,760 --> 01:48:39,800
Speaker 1: able to talk to Nick, I'm glad we are to

2026
01:48:39,800 --> 01:48:41,960
Speaker 1: have talked to Nick because it's very interesting and I thought,

2027
01:48:42,360 --> 01:48:45,280
Speaker 1: you know, reasonable at least approaches to the conversation. But

2028
01:48:45,680 --> 01:48:48,240
Speaker 1: something that Pat said that I think I'd be interested

2029
01:48:48,240 --> 01:48:50,880
Speaker 1: to hear you you talk through a little bit. He

2030
01:48:50,920 --> 01:48:54,240
Speaker 1: wrote in a letter. UM and a memo are divisive.

2031
01:48:54,280 --> 01:48:57,600
Speaker 1: Advantage of the incumbent industry is our ability to continue

2032
01:48:57,600 --> 01:49:01,920
Speaker 1: improving our products, processes and supply eye chain in every

2033
01:49:01,960 --> 01:49:05,439
Speaker 1: way that matters to consumers and the environment, week by week,

2034
01:49:05,560 --> 01:49:08,080
Speaker 1: year by year, far into the future. Cows aren't getting

2035
01:49:08,080 --> 01:49:12,519
Speaker 1: any better at making meat. We are, I felt. I

2036
01:49:12,560 --> 01:49:15,320
Speaker 1: thought that was when I read that, I chuckled a

2037
01:49:15,320 --> 01:49:17,400
Speaker 1: bit and I thought, of you, so, so go ahead,

2038
01:49:17,400 --> 01:49:20,679
Speaker 1: and cows aren't getting better at making me. We are. UM,

2039
01:49:20,760 --> 01:49:23,720
Speaker 1: you've kind of touched already on on the way you

2040
01:49:23,760 --> 01:49:26,040
Speaker 1: feel about this, But what's your reaction to that that

2041
01:49:26,120 --> 01:49:30,080
Speaker 1: particular statement. Yeah, I guess, I guess when you look

2042
01:49:30,200 --> 01:49:35,040
Speaker 1: at um, how much ground you have to cover before

2043
01:49:35,040 --> 01:49:38,720
Speaker 1: you get even close to the vision to being able

2044
01:49:38,720 --> 01:49:40,960
Speaker 1: to realize the vision that you're casting as an opportunity

2045
01:49:41,000 --> 01:49:43,160
Speaker 1: than Yeah, you have a tremendous advantage because you've got

2046
01:49:43,160 --> 01:49:49,519
Speaker 1: a long way to go. Um when and and and

2047
01:49:49,520 --> 01:49:52,360
Speaker 1: and talking about and thinking about um, you know, cow's

2048
01:49:52,400 --> 01:49:56,360
Speaker 1: not getting more efficient at creating me. I mean, I don't.

2049
01:49:56,360 --> 01:49:57,880
Speaker 1: I don't even know how to respond to that. It's

2050
01:49:57,920 --> 01:50:02,360
Speaker 1: just such an absurd statement. There's nothing. I'm sorry, I'm laughing,

2051
01:50:03,720 --> 01:50:06,760
Speaker 1: You're you're You're right when I when I said that,

2052
01:50:07,200 --> 01:50:11,559
Speaker 1: I I just it's it's dumbfounding that one. That There's

2053
01:50:11,560 --> 01:50:13,240
Speaker 1: a lot of this that I'm trying to be objective about,

2054
01:50:13,240 --> 01:50:15,639
Speaker 1: but boy, that one is just out there bit so

2055
01:50:15,680 --> 01:50:18,200
Speaker 1: so so. So here's the deal, I mean, here's let's

2056
01:50:18,200 --> 01:50:21,160
Speaker 1: talk about what what what? What have? How you create meat? Why? Meats?

2057
01:50:21,280 --> 01:50:24,760
Speaker 1: You know valuable? We'll save nutrition for another conversation. I'm

2058
01:50:24,760 --> 01:50:26,559
Speaker 1: sure you can have some guests on I can speak

2059
01:50:26,560 --> 01:50:29,679
Speaker 1: to to that a lot better than I can write.

2060
01:50:29,720 --> 01:50:32,760
Speaker 1: But but what cows do? Another room, and it's in

2061
01:50:33,120 --> 01:50:37,280
Speaker 1: particular do is they take in addition to being houstone

2062
01:50:37,280 --> 01:50:40,639
Speaker 1: species and fucking functioning healthy ecosystems like we've talked about,

2063
01:50:41,200 --> 01:50:47,160
Speaker 1: they take food stuffs and environments, UM, food products that

2064
01:50:47,160 --> 01:50:49,920
Speaker 1: that humans can't eat, or plant products that humans can't eat,

2065
01:50:49,960 --> 01:50:54,240
Speaker 1: excuse me, and environments where we cannot grow plant products

2066
01:50:54,240 --> 01:50:58,759
Speaker 1: that humans can eat, and they more efficient than anything

2067
01:50:58,800 --> 01:51:01,120
Speaker 1: that ever has existed or will existed convert that into

2068
01:51:01,240 --> 01:51:05,599
Speaker 1: human edible food in the form of meat. Right. And

2069
01:51:05,680 --> 01:51:10,840
Speaker 1: so when you look at um the agriculture land and

2070
01:51:11,040 --> 01:51:15,600
Speaker 1: in the world, um, a third of the surface of

2071
01:51:15,640 --> 01:51:19,599
Speaker 1: the earth is suitable for agriculture, right. Two thirds of

2072
01:51:19,760 --> 01:51:24,880
Speaker 1: that amount are not suitable for crops. Those are the

2073
01:51:24,960 --> 01:51:28,240
Speaker 1: land where we put animals. Those are the lands where

2074
01:51:29,640 --> 01:51:32,479
Speaker 1: there is no potential to produce human food that is

2075
01:51:32,520 --> 01:51:36,040
Speaker 1: plant based. There's only a potential to produce human food

2076
01:51:36,640 --> 01:51:40,360
Speaker 1: and to improve ecosystems in the form of animals that

2077
01:51:40,400 --> 01:51:43,519
Speaker 1: we manage. Right. And again, of that third of the

2078
01:51:43,560 --> 01:51:50,120
Speaker 1: surface that is arable or suitable for agriculture, the I

2079
01:51:50,160 --> 01:51:52,280
Speaker 1: think it's the f a O one, one of the

2080
01:51:52,400 --> 01:51:55,479
Speaker 1: large regulatory bodies, says that only three percent of that

2081
01:51:55,600 --> 01:51:58,920
Speaker 1: is considered prime. Right. So there's there's certain you know,

2082
01:51:58,960 --> 01:52:02,400
Speaker 1: quote unquote Arab land that can only grow olives or

2083
01:52:02,439 --> 01:52:04,479
Speaker 1: can only grow cassava. I mean you're not You're not

2084
01:52:04,520 --> 01:52:06,920
Speaker 1: talking about land that we could grow soybeans, let alone

2085
01:52:06,960 --> 01:52:09,479
Speaker 1: avocados or almonds or things like that. Right, And so

2086
01:52:09,520 --> 01:52:13,880
Speaker 1: it's not this this simple, you know, distill everything down

2087
01:52:13,920 --> 01:52:18,559
Speaker 1: into a reductionist series of rudimentary equations and and and

2088
01:52:18,600 --> 01:52:22,240
Speaker 1: reinvent the wheel. Right, It's extremely complex. It's much more

2089
01:52:22,240 --> 01:52:24,280
Speaker 1: complex than they want to cast it, you know, than

2090
01:52:24,320 --> 01:52:26,120
Speaker 1: they want to present it to be. The reality is,

2091
01:52:26,960 --> 01:52:30,439
Speaker 1: in addition to the fact that nothing will be more

2092
01:52:30,479 --> 01:52:36,160
Speaker 1: efficient at producing meat than animals in areas where there's

2093
01:52:36,280 --> 01:52:42,360
Speaker 1: no food production alternative, nothing creates healthier food that is

2094
01:52:42,360 --> 01:52:48,120
Speaker 1: more nutrient dense from a caloric standpoint, and offers a

2095
01:52:48,160 --> 01:52:52,800
Speaker 1: better a meto acid profile and more minerals than animal meat.

2096
01:52:53,520 --> 01:52:57,800
Speaker 1: So I can't speak to that statement any more than

2097
01:52:57,840 --> 01:53:03,040
Speaker 1: that without blow a gasket. Yeah, yeah, I I like

2098
01:53:03,160 --> 01:53:05,280
Speaker 1: I I told Nick and in our conversation, I mean,

2099
01:53:05,479 --> 01:53:09,120
Speaker 1: he I'm a potential customer of theirs um if I

2100
01:53:09,120 --> 01:53:12,200
Speaker 1: would much rather eat an impossible burger than a piece

2101
01:53:12,240 --> 01:53:15,799
Speaker 1: of chicken from Purdue. This is how I feel. Um.

2102
01:53:16,640 --> 01:53:20,360
Speaker 1: So that's that's a big part of how I am

2103
01:53:20,400 --> 01:53:24,280
Speaker 1: trying to approach this, like, but I run into with Impossible,

2104
01:53:24,320 --> 01:53:31,080
Speaker 1: specifically run into all of these illogical barriers where you know,

2105
01:53:31,120 --> 01:53:32,679
Speaker 1: That's why I wanted to talk to Nick, and that's

2106
01:53:32,680 --> 01:53:34,840
Speaker 1: why I wanted to pick up the conversation with you,

2107
01:53:34,920 --> 01:53:38,720
Speaker 1: so so I could get really from my own edification

2108
01:53:39,040 --> 01:53:41,800
Speaker 1: a little bit more of a rounded picture of of

2109
01:53:42,160 --> 01:53:45,400
Speaker 1: what's happening here, the options and kind of the ideology

2110
01:53:45,479 --> 01:53:49,559
Speaker 1: specifically of Impossible and companies like Beyond Meat and other

2111
01:53:49,600 --> 01:53:53,440
Speaker 1: things like that. Because um, as I've written for our website,

2112
01:53:53,600 --> 01:53:58,000
Speaker 1: these companies are being funded, they are um their industry

2113
01:53:58,080 --> 01:54:01,040
Speaker 1: is growing leaps and bounds. I talked to Nick, he

2114
01:54:01,120 --> 01:54:03,600
Speaker 1: was in Hong Kong working on their international side of

2115
01:54:03,640 --> 01:54:08,480
Speaker 1: their business. So this is not a a a shrinking enterprise.

2116
01:54:08,720 --> 01:54:11,880
Speaker 1: There's or others like them. So um, it's something to know.

2117
01:54:11,960 --> 01:54:15,000
Speaker 1: And when you when you I know you and I

2118
01:54:15,040 --> 01:54:16,680
Speaker 1: have talked about this, but when you read things like

2119
01:54:16,720 --> 01:54:20,479
Speaker 1: that from Pat Brown and you think about how quickly

2120
01:54:20,479 --> 01:54:24,439
Speaker 1: their industries are growing and the scale and impact that

2121
01:54:24,479 --> 01:54:27,639
Speaker 1: they're already having. I mean to be in Burger King

2122
01:54:27,680 --> 01:54:32,440
Speaker 1: and Kodoba and all these other places. What do you think?

2123
01:54:32,480 --> 01:54:34,560
Speaker 1: I mean it just as as somebody who cares about

2124
01:54:34,560 --> 01:54:37,680
Speaker 1: soil and healthy ecosystems and thinks about it all the time.

2125
01:54:38,440 --> 01:54:40,480
Speaker 1: Where do where does that make you take your mind?

2126
01:54:40,480 --> 01:54:44,240
Speaker 1: Are you scared of the power that there that they're

2127
01:54:44,360 --> 01:54:47,360
Speaker 1: UM putting together here? Do you do you feel like

2128
01:54:47,520 --> 01:54:52,200
Speaker 1: eventually people will come around UM to other ways of thinking?

2129
01:54:52,360 --> 01:54:55,280
Speaker 1: Or are or is this? Is this going to continue

2130
01:54:55,320 --> 01:54:59,720
Speaker 1: to grow UM as their as their funding and technology grows.

2131
01:55:02,040 --> 01:55:04,640
Speaker 1: I mean money and media goes a long way, right,

2132
01:55:04,680 --> 01:55:07,280
Speaker 1: I mean, as I understand that they've they're valued it's

2133
01:55:07,280 --> 01:55:09,960
Speaker 1: somewhere over four billion dollars and they've raised something like

2134
01:55:10,080 --> 01:55:12,640
Speaker 1: one and a half billion dollars. I mean, I would

2135
01:55:12,640 --> 01:55:18,200
Speaker 1: imagine there budget for toilet paper exceeds my entire budget

2136
01:55:18,240 --> 01:55:22,040
Speaker 1: for the year. UM. You know, I think that they're

2137
01:55:22,040 --> 01:55:24,960
Speaker 1: gonna and and there's a lot of money to be made.

2138
01:55:25,120 --> 01:55:26,920
Speaker 1: I mean there's you know, the money, there's not a

2139
01:55:26,920 --> 01:55:30,160
Speaker 1: lot of money to be made UM. And you know

2140
01:55:30,200 --> 01:55:32,200
Speaker 1: traditional agriculture, there's a hell of a lot of money

2141
01:55:32,200 --> 01:55:35,840
Speaker 1: to be made in technology UM. And so you know,

2142
01:55:35,880 --> 01:55:37,880
Speaker 1: I don't doubt that they're going to continue to do

2143
01:55:38,920 --> 01:55:42,680
Speaker 1: UM what they've done and continue to see some progress

2144
01:55:42,720 --> 01:55:47,800
Speaker 1: in in in that vein UM. And again what they've

2145
01:55:47,840 --> 01:55:51,800
Speaker 1: done is UM, you know, employed a strategy that is

2146
01:55:51,920 --> 01:55:56,520
Speaker 1: listened to what I say, don't watch what I do, right,

2147
01:55:56,560 --> 01:55:58,640
Speaker 1: and then going into something like a Burger King, Right,

2148
01:55:58,640 --> 01:56:02,680
Speaker 1: I mean it's fast food, it's ultra processed food. It's

2149
01:56:02,760 --> 01:56:06,600
Speaker 1: part of the problem UM as far as health is concerned. Right,

2150
01:56:06,640 --> 01:56:10,200
Speaker 1: And it's rather appropriate that now the most processed food

2151
01:56:10,200 --> 01:56:14,760
Speaker 1: in the history of our UM species is joining you know,

2152
01:56:14,920 --> 01:56:20,880
Speaker 1: in in in that UM in that industry. Yeah, yeah,

2153
01:56:21,000 --> 01:56:22,840
Speaker 1: you said it right. When I've when I've looked at

2154
01:56:22,920 --> 01:56:25,760
Speaker 1: like lab grown meats and some of the technology based

2155
01:56:25,800 --> 01:56:30,000
Speaker 1: industries that are popping up around the solution to this

2156
01:56:30,120 --> 01:56:33,880
Speaker 1: issue UM that they're in. They're investing in the technology,

2157
01:56:33,880 --> 01:56:38,080
Speaker 1: not necessarily the nutrition of the product or um or

2158
01:56:38,120 --> 01:56:40,360
Speaker 1: the what it will do for our ecosystem. So, as

2159
01:56:40,400 --> 01:56:42,320
Speaker 1: I said, as I told Nick, and I know you

2160
01:56:42,360 --> 01:56:44,360
Speaker 1: know this because you're a hunter as well. You know,

2161
01:56:44,400 --> 01:56:47,840
Speaker 1: as a hunter, I am very very interested in land use.

2162
01:56:47,880 --> 01:56:52,040
Speaker 1: I'm very interested in our overall ecosystem health. And that's

2163
01:56:52,080 --> 01:56:54,600
Speaker 1: why this matters to me. UM. There are other reasons

2164
01:56:54,640 --> 01:56:56,680
Speaker 1: that matters to me, certainly, there's a lot of cattle

2165
01:56:56,720 --> 01:57:00,880
Speaker 1: grazing on BLM lands that wouldn't be there, um if

2166
01:57:00,920 --> 01:57:06,120
Speaker 1: if impossible meats gets their way into So there's just

2167
01:57:06,160 --> 01:57:08,560
Speaker 1: a lot of elements of it to me. But as

2168
01:57:08,600 --> 01:57:11,280
Speaker 1: I as a hunter and somebody who really cares about

2169
01:57:11,840 --> 01:57:15,400
Speaker 1: these landscapes, this is this is ultimately interesting to me

2170
01:57:15,440 --> 01:57:19,720
Speaker 1: for those reasons. So, UM, I really appreciate your coming

2171
01:57:19,760 --> 01:57:23,520
Speaker 1: on and thinking about these things with us. I know, um,

2172
01:57:23,560 --> 01:57:25,840
Speaker 1: as I've said, I know that you know it's not

2173
01:57:26,000 --> 01:57:28,640
Speaker 1: it's not apples to apples in terms of your company

2174
01:57:28,680 --> 01:57:30,640
Speaker 1: and what you do and and the scale and size

2175
01:57:30,680 --> 01:57:34,200
Speaker 1: of Impossible and what they do. But I think your

2176
01:57:34,240 --> 01:57:37,320
Speaker 1: perspective is valuable and juxtaposed to their perspective. And I hope,

2177
01:57:37,400 --> 01:57:39,200
Speaker 1: I hope everybody. I hope you got something out of it,

2178
01:57:39,240 --> 01:57:43,000
Speaker 1: and I hope everybody does as well. Yeah, thanks a lot. Man. Again,

2179
01:57:43,040 --> 01:57:45,560
Speaker 1: I really appreciate you you having me on and and

2180
01:57:45,560 --> 01:57:47,640
Speaker 1: and giving us an opportunity to again have a have

2181
01:57:47,720 --> 01:57:51,600
Speaker 1: a have a fuller um you know, a conversation. And

2182
01:57:51,720 --> 01:57:54,840
Speaker 1: I hope, as you noted, people are are taking away

2183
01:57:54,880 --> 01:57:58,320
Speaker 1: from something um that if this isn't plant versus animals, right,

2184
01:57:58,360 --> 01:58:00,880
Speaker 1: this is this is about a system and um if

2185
01:58:01,040 --> 01:58:03,240
Speaker 1: if if, what we're trying to do is predicated on change,

2186
01:58:03,240 --> 01:58:05,760
Speaker 1: and let's let's let's focus on the kind of change

2187
01:58:05,760 --> 01:58:11,600
Speaker 1: that's actually tangible, um and not and not simply lip service. UM.

2188
01:58:11,640 --> 01:58:14,800
Speaker 1: So yeah, that you know, using the word tangible is

2189
01:58:14,840 --> 01:58:16,800
Speaker 1: important to me because as I told you before, and

2190
01:58:16,840 --> 01:58:19,360
Speaker 1: I'll tell the audience, I felt that coming down the

2191
01:58:19,440 --> 01:58:22,320
Speaker 1: Room Ranch. I haven't been to any production facility and

2192
01:58:22,360 --> 01:58:24,840
Speaker 1: manufacturing facility for impossible, so I can't speak to that.

2193
01:58:24,880 --> 01:58:27,400
Speaker 1: But coming down to Room Ranch and be in with

2194
01:58:27,440 --> 01:58:30,640
Speaker 1: you and the team down there and seeing that, it

2195
01:58:30,760 --> 01:58:33,880
Speaker 1: felt like there's a real tangible thing happening here, something

2196
01:58:33,920 --> 01:58:36,360
Speaker 1: I can get my hand hands on and my head

2197
01:58:36,400 --> 01:58:38,960
Speaker 1: around and I can touch and feel and see the

2198
01:58:39,000 --> 01:58:43,560
Speaker 1: improvements to the landscapes, and that that to me means

2199
01:58:43,560 --> 01:58:46,520
Speaker 1: a lot. So Um, maybe one day I'll go see

2200
01:58:46,520 --> 01:58:50,360
Speaker 1: how they make a plant based burger and fine and

2201
01:58:50,360 --> 01:58:55,520
Speaker 1: find maybe I'll find some some some some real satisfaction

2202
01:58:55,600 --> 01:58:57,680
Speaker 1: seeing that. But I just don't know. So that's something

2203
01:58:57,760 --> 01:59:00,240
Speaker 1: we'll continue talk about this in the future. I know

2204
01:59:00,280 --> 01:59:02,600
Speaker 1: you had a lot of good contacts for us to

2205
01:59:02,600 --> 01:59:05,800
Speaker 1: to further these conversations with people in different ways. So

2206
01:59:05,840 --> 01:59:07,680
Speaker 1: we'll continue to do that here on the show, and

2207
01:59:07,680 --> 01:59:09,440
Speaker 1: and we'll keep in touch with you, Rabbie. I really

2208
01:59:09,440 --> 01:59:12,080
Speaker 1: appreciate it. Man. Hey, thanks a lot, Ben. And for

2209
01:59:12,120 --> 01:59:15,240
Speaker 1: anybody that is interested in learning any more about this stuff,

2210
01:59:15,240 --> 01:59:18,840
Speaker 1: there's exciting new documentary coming out called called Sacred Cow.

2211
01:59:18,880 --> 01:59:21,960
Speaker 1: I'd encourage folks to look at a book associated with that,

2212
01:59:22,040 --> 01:59:25,360
Speaker 1: a Kiss the Ground documentary. Either's the biggest little farm documentary.

2213
01:59:25,840 --> 01:59:27,920
Speaker 1: You can learn anything about Force of Nature and all

2214
01:59:27,960 --> 01:59:30,560
Speaker 1: of our transparency to our supply chain and what we

2215
01:59:30,640 --> 01:59:33,720
Speaker 1: do at Force of Nature meats dot com. Again, this

2216
01:59:33,760 --> 01:59:36,240
Speaker 1: isn't just about me, you know, David and the David

2217
01:59:36,280 --> 01:59:39,800
Speaker 1: and Goliath conversation. Um, there's a major global movement and

2218
01:59:39,800 --> 01:59:43,120
Speaker 1: and you know there's there's no food revolution without the consumers.

2219
01:59:43,160 --> 01:59:46,600
Speaker 1: We need everybody to to get involved and start supporting

2220
01:59:46,640 --> 01:59:49,360
Speaker 1: better food. Yeah, I mean, you know, we talked to

2221
01:59:49,440 --> 01:59:52,640
Speaker 1: talk to vegans here, We talked to a lot of

2222
01:59:52,840 --> 01:59:56,880
Speaker 1: animal rights activists and people that think differently than we do. Um,

2223
01:59:56,920 --> 01:59:59,880
Speaker 1: but what is is great for me is that everybody's

2224
02:00:00,160 --> 02:00:02,760
Speaker 1: uh think very conscious about what they're eating and words

2225
02:00:02,760 --> 02:00:04,600
Speaker 1: produced and where it comes from even more so at

2226
02:00:04,600 --> 02:00:07,640
Speaker 1: the time of COVID. So, UM, I take that away

2227
02:00:07,680 --> 02:00:10,160
Speaker 1: as a positive. So thanks for ROBBYO. We'll talk to

2228
02:00:10,160 --> 02:00:23,720
Speaker 1: you soon, bro. So yeah, that's it. That's all another

2229
02:00:23,760 --> 02:00:26,560
Speaker 1: episode in the books. Thank you to Nick and Robbie

2230
02:00:27,600 --> 02:00:31,120
Speaker 1: for having those conversations with us, specifically thanks to Nick

2231
02:00:31,160 --> 02:00:35,000
Speaker 1: for coming to us from Hong Kong. Hopefully, UM, you

2232
02:00:35,000 --> 02:00:37,880
Speaker 1: guys were able to hear both of those gentlemen at

2233
02:00:38,200 --> 02:00:44,000
Speaker 1: answer similar questions and talk about their solutions to what

2234
02:00:44,120 --> 02:00:47,760
Speaker 1: they both believe. He's a big problem with our food systems. Again,

2235
02:00:47,880 --> 02:00:50,800
Speaker 1: as I said in the show already to both of

2236
02:00:50,800 --> 02:00:54,360
Speaker 1: those gentlemen, I feel like it's a proximity situation. My

2237
02:00:54,600 --> 02:00:57,000
Speaker 1: solution for this on a personal levels to get closer

2238
02:00:57,040 --> 02:01:01,080
Speaker 1: to my food, shorten the supply chains, and know where

2239
02:01:01,080 --> 02:01:05,240
Speaker 1: it comes from. That's That's what I'm gonna do personally. Um.

2240
02:01:05,360 --> 02:01:08,640
Speaker 1: On a larger level, the point I'd like to make

2241
02:01:08,760 --> 02:01:13,640
Speaker 1: is is our ability to feed billions of people going

2242
02:01:13,720 --> 02:01:15,800
Speaker 1: forward is always going to be messy. It's always going

2243
02:01:15,840 --> 02:01:19,040
Speaker 1: to be imperfect, it's always gonna have major flaws. So

2244
02:01:19,080 --> 02:01:22,600
Speaker 1: any solution presented is going to have major flaws, whether

2245
02:01:22,640 --> 02:01:25,680
Speaker 1: it's the nutrition or the scalability, whatever it is, it's

2246
02:01:25,680 --> 02:01:30,760
Speaker 1: always gonna have cracks chinks in the armor. I think

2247
02:01:30,760 --> 02:01:34,400
Speaker 1: plant based meat is flawed, is flawed itself, but a

2248
02:01:34,520 --> 02:01:38,600
Speaker 1: reasonable alternative, and it kind of makes sense as a

2249
02:01:38,640 --> 02:01:43,000
Speaker 1: counterpoint to meet We know, we know meat itself isn't

2250
02:01:43,000 --> 02:01:46,440
Speaker 1: the problem. Killing animals for their flesh isn't necessarily problem

2251
02:01:46,520 --> 02:01:49,920
Speaker 1: done responsibly, as Robbie points out, as a positive and

2252
02:01:49,960 --> 02:01:54,280
Speaker 1: long laughing impact on how we live. So, you know,

2253
02:01:54,320 --> 02:01:58,520
Speaker 1: but looking down the road, who knows part of this is?

2254
02:01:58,560 --> 02:02:01,000
Speaker 1: We don't know. That's what makes it interest. So we're

2255
02:02:01,000 --> 02:02:03,040
Speaker 1: gonna keep talking about it. We're gonna keep exploring it.

2256
02:02:03,280 --> 02:02:06,160
Speaker 1: Got a lot of good leads from both Robbie and

2257
02:02:06,280 --> 02:02:08,120
Speaker 1: Nick about who to talk to next and how to

2258
02:02:08,160 --> 02:02:11,280
Speaker 1: continues to explore this conversation. So we're gonna keep doing

2259
02:02:11,320 --> 02:02:14,880
Speaker 1: it here on the Hunting Collective, Phil, you have a

2260
02:02:14,960 --> 02:02:17,360
Speaker 1: parting shot there from today's episode. Do you think we

2261
02:02:17,480 --> 02:02:22,080
Speaker 1: pulled off some some real something really was achieved here?

2262
02:02:23,520 --> 02:02:27,920
Speaker 1: I mean, just introducing people to the perspectives and points

2263
02:02:27,920 --> 02:02:30,880
Speaker 1: of view and giving them something they haven't heard before. Uh,

2264
02:02:30,920 --> 02:02:33,360
Speaker 1: you know, we're not going to find a solution right now,

2265
02:02:33,400 --> 02:02:35,960
Speaker 1: but it gets people thinking, and that's the most important thing,

2266
02:02:36,200 --> 02:02:38,960
Speaker 1: right you're it's you're like my inner voice, that's what

2267
02:02:39,040 --> 02:02:41,240
Speaker 1: my inner voice tells me. I'm just here to prop

2268
02:02:41,280 --> 02:02:43,800
Speaker 1: you up, man. Even if you're dead wrong, at least

2269
02:02:43,800 --> 02:02:48,960
Speaker 1: you tried basically the least you're doing something. Um. Yeah,

2270
02:02:49,000 --> 02:02:50,640
Speaker 1: that's a good way to sum it up. So we'll

2271
02:02:50,720 --> 02:02:54,120
Speaker 1: keep Uh, we'll revisit this conversation again. I know it's

2272
02:02:54,120 --> 02:02:56,720
Speaker 1: not hunting. I know it's not core. We're not telling

2273
02:02:56,760 --> 02:02:58,680
Speaker 1: hunting stories or not talking about how to kill turkeys

2274
02:02:58,760 --> 02:03:01,480
Speaker 1: or bears or whatever. But I think it's still very

2275
02:03:01,480 --> 02:03:04,400
Speaker 1: important and so we're gonna keep you covered on the show.

2276
02:03:04,600 --> 02:03:07,040
Speaker 1: Certainly always right into t HC at the Mediator dot com,

2277
02:03:07,040 --> 02:03:09,400
Speaker 1: which I know you will do. Tell us your opinion,

2278
02:03:10,040 --> 02:03:11,920
Speaker 1: tell us where you might where we might take this

2279
02:03:12,000 --> 02:03:16,600
Speaker 1: conversation next. Um and so Phil, A little bit of housekeeping,

2280
02:03:16,800 --> 02:03:21,960
Speaker 1: A little bit of housekeeping. Our buddy Trey Peku. We

2281
02:03:22,040 --> 02:03:23,760
Speaker 1: never did get his like, how to pronounce his name

2282
02:03:23,800 --> 02:03:29,960
Speaker 1: Tray Pacao, Tray Pico. Uh. Well, I did reach out

2283
02:03:30,000 --> 02:03:33,720
Speaker 1: to him, Trey, you're gonna receive I still haven't sent

2284
02:03:33,760 --> 02:03:36,000
Speaker 1: it because it's been a little busy in quarantine and COVID.

2285
02:03:36,240 --> 02:03:41,000
Speaker 1: But you're gonna receive my old podcasting kit. Me and

2286
02:03:41,040 --> 02:03:43,120
Speaker 1: Phil are gonna call you up and bother you about

2287
02:03:43,120 --> 02:03:46,760
Speaker 1: this new podcast that you're going to start around the

2288
02:03:46,800 --> 02:03:52,680
Speaker 1: science of hunting. So doctor Trey pH d. Hopefully we

2289
02:03:52,720 --> 02:03:55,080
Speaker 1: get him on the airwaves here pretty soon. So following

2290
02:03:55,200 --> 02:03:57,680
Speaker 1: up on that, you might hear Trey on the show soon.

2291
02:03:57,720 --> 02:03:59,200
Speaker 1: We got to talk to him see if he wants

2292
02:03:59,240 --> 02:04:04,200
Speaker 1: to come on. Similarly, are New Zealand Hunt or New

2293
02:04:04,280 --> 02:04:07,920
Speaker 1: Zealand Contest giveaway with First Light? That Hunt is going

2294
02:04:07,960 --> 02:04:11,720
Speaker 1: to be postponed until next year. Obviously we're supposed to

2295
02:04:11,760 --> 02:04:14,920
Speaker 1: be lifting off just about Nowville supposed to be taken

2296
02:04:14,920 --> 02:04:16,720
Speaker 1: off in a couple of days to go to New Zealand.

2297
02:04:17,240 --> 02:04:20,720
Speaker 1: Oh man, I know, but we're not. We're gonna do

2298
02:04:20,760 --> 02:04:23,000
Speaker 1: it next year. So it gives me job security for

2299
02:04:23,000 --> 02:04:24,640
Speaker 1: a whole another year. You can't get rid of me.

2300
02:04:25,440 --> 02:04:29,320
Speaker 1: I feel good. I feel good. But maybe they can,

2301
02:04:29,560 --> 02:04:32,120
Speaker 1: maybe this that take this as a challenge. Oh yeah,

2302
02:04:32,120 --> 02:04:34,000
Speaker 1: they I mean they definitely can. I don't mean to

2303
02:04:34,080 --> 02:04:36,440
Speaker 1: kill your buzz here, but what about the New Zealand Hunt.

2304
02:04:36,440 --> 02:04:37,960
Speaker 1: That's when when they get rid of me I'll say,

2305
02:04:38,000 --> 02:04:40,560
Speaker 1: what about the New Zealand Hunt, and then maybe they'll

2306
02:04:40,560 --> 02:04:44,960
Speaker 1: reconsider you see, like you really played this through in

2307
02:04:45,000 --> 02:04:53,040
Speaker 1: your head. Yeah, haven't you my firing I have no

2308
02:04:53,080 --> 02:04:56,160
Speaker 1: idea anyway, moving on. Those are just a couple of

2309
02:04:56,160 --> 02:04:59,520
Speaker 1: housekeeping things. The third housekeeping thing the TC book Club.

2310
02:05:00,240 --> 02:05:04,560
Speaker 1: I'm working on this baby hard for right now. There's

2311
02:05:04,560 --> 02:05:07,280
Speaker 1: gonna be some things by by reading this, buying this

2312
02:05:07,320 --> 02:05:09,160
Speaker 1: book and reading it. You gotta buy it yourself. I

2313
02:05:09,200 --> 02:05:10,400
Speaker 1: had a couple of people right in, but like, do

2314
02:05:10,480 --> 02:05:12,640
Speaker 1: we get a coupon? Are you gonna pay for the book?

2315
02:05:12,680 --> 02:05:14,880
Speaker 1: I don't know. I'm not paying for the book. You

2316
02:05:14,920 --> 02:05:17,720
Speaker 1: get the book, you get to keep the book, You

2317
02:05:17,760 --> 02:05:20,040
Speaker 1: get to read the book, sell it on eBay after

2318
02:05:20,120 --> 02:05:23,480
Speaker 1: you're done. Don't really care. Uh. The North American Model

2319
02:05:23,560 --> 02:05:29,360
Speaker 1: Conservation Wildlife Conservation by Dr Hilarious Geist and Shane Mahoney

2320
02:05:29,560 --> 02:05:31,600
Speaker 1: is what we should all be reading right now. I'm

2321
02:05:31,600 --> 02:05:33,280
Speaker 1: about three quarters of the way through it. Phil. We

2322
02:05:33,280 --> 02:05:36,320
Speaker 1: gonna get you a copy? Do you have one yet?

2323
02:05:37,280 --> 02:05:40,080
Speaker 1: I don't know. No coupons. You gotta go buy it.

2324
02:05:40,760 --> 02:05:43,560
Speaker 1: What like the rest of us, You're not special. I

2325
02:05:43,560 --> 02:05:45,760
Speaker 1: guess you're right. So we all gotta be, but you

2326
02:05:45,840 --> 02:05:47,320
Speaker 1: all gotta go out and buy that book. I know

2327
02:05:47,680 --> 02:05:50,760
Speaker 1: you know it's tough times. I understand. Um, I think

2328
02:05:50,800 --> 02:05:52,880
Speaker 1: this is an essential reading. I think everything we'll have

2329
02:05:52,920 --> 02:05:55,600
Speaker 1: in the book club is an essential reading. I think

2330
02:05:55,640 --> 02:05:57,240
Speaker 1: it's important that we all have it and read it

2331
02:05:57,280 --> 02:06:00,280
Speaker 1: added to our collections. So I understand that's a it's

2332
02:06:00,320 --> 02:06:02,440
Speaker 1: can be a tough ask. I do respect that. Hopefully

2333
02:06:02,680 --> 02:06:05,680
Speaker 1: many of you can jump in and read that book.

2334
02:06:06,200 --> 02:06:08,280
Speaker 1: Trust me that there will be a reward at the

2335
02:06:08,440 --> 02:06:12,400
Speaker 1: end for the TC book Club. And I'm working on

2336
02:06:12,640 --> 02:06:14,680
Speaker 1: maybe even an email or you can subscribe and we

2337
02:06:14,680 --> 02:06:16,720
Speaker 1: can update you on things and we can talk through

2338
02:06:17,440 --> 02:06:20,520
Speaker 1: each book. So that's that's the TC book Club. Many

2339
02:06:20,560 --> 02:06:22,360
Speaker 1: of you've asked about that, many of you are excited

2340
02:06:22,400 --> 02:06:24,680
Speaker 1: about that. The thing you can do right now is

2341
02:06:24,720 --> 02:06:27,800
Speaker 1: go buy that book and start reading, and pretty soon

2342
02:06:28,440 --> 02:06:31,720
Speaker 1: we will have the next steps for you to discuss it.

2343
02:06:32,480 --> 02:06:36,720
Speaker 1: So that's it, Philip. Next week we're gonna talk to

2344
02:06:37,080 --> 02:06:39,840
Speaker 1: In fact, tomorrow, I think talked to Georgia Pellegrini. I've

2345
02:06:39,880 --> 02:06:42,280
Speaker 1: known Georgia for quite a long time. She's been around

2346
02:06:42,320 --> 02:06:45,440
Speaker 1: about as long as Stephen Roanella. Talking about Wild foods,

2347
02:06:45,760 --> 02:06:48,840
Speaker 1: talking about how to eat better, um, talking about how

2348
02:06:48,840 --> 02:06:50,880
Speaker 1: to kill things and why you are too. And so

2349
02:06:51,000 --> 02:06:54,640
Speaker 1: Georgia is a veteran of the game. She's got a

2350
02:06:54,640 --> 02:06:58,120
Speaker 1: television show on public TV. She's trying to crowdfund, so

2351
02:06:58,160 --> 02:07:00,280
Speaker 1: I wanted to let her come on, speak your yeast.

2352
02:07:00,400 --> 02:07:03,320
Speaker 1: Hopefully you hasn't here. Have you got a little extra

2353
02:07:03,360 --> 02:07:05,080
Speaker 1: dollar to throw her away so she can produce her

2354
02:07:05,120 --> 02:07:08,600
Speaker 1: television show. Um, her her funding got pulled because of

2355
02:07:08,640 --> 02:07:11,280
Speaker 1: the pandemic, so I want to talk to her anyway.

2356
02:07:11,560 --> 02:07:13,280
Speaker 1: This is another reason to have her on, let her

2357
02:07:13,640 --> 02:07:15,400
Speaker 1: speak her mind and say what she wants to say,

2358
02:07:15,440 --> 02:07:19,360
Speaker 1: and hopefully convince everyone that her TV show is worthy

2359
02:07:20,040 --> 02:07:22,680
Speaker 1: of being put on the air. So we will see

2360
02:07:22,720 --> 02:07:26,880
Speaker 1: you next time episode. Say bye Phil, goodbye? You know,

2361
02:07:27,320 --> 02:07:33,480
Speaker 1: because I can't go a week without doing Run without

2362
02:07:42,920 --> 02:07:42,960
Speaker 1: d