1
00:00:08,960 --> 00:00:13,320
Speaker 1: This is me eat your podcast coming at you shirtless, severely,

2
00:00:13,480 --> 00:00:18,360
Speaker 1: bug bitten, and in my case, underwear listening podcast. You

3
00:00:18,400 --> 00:00:24,080
Speaker 1: can't predict anything presented by first like creating proven versatile

4
00:00:24,160 --> 00:00:28,040
Speaker 1: hunting apparel from Marino bass layers to technical outerwear for

5
00:00:28,160 --> 00:00:35,800
Speaker 1: every hunt. First like go farther, stay longer. Oh this

6
00:00:35,840 --> 00:00:39,960
Speaker 1: is you got the machine on film? It's always on Steve. Okay,

7
00:00:40,120 --> 00:00:42,080
Speaker 1: Well you need to go on and delete everything, ye Like,

8
00:00:42,840 --> 00:00:45,720
Speaker 1: ok can you imagine the black tape? Can you imagine

9
00:00:45,720 --> 00:00:49,320
Speaker 1: the black mail tape that Phil could produce? Dude us

10
00:00:49,360 --> 00:00:53,199
Speaker 1: on geo like like us on geo politics. Now this

11
00:00:53,240 --> 00:00:55,080
Speaker 1: is more in line with what we're supposed to talk about,

12
00:00:55,160 --> 00:00:58,040
Speaker 1: is uh? Man? This is a genius idea. I don't like,

13
00:00:58,880 --> 00:01:01,959
Speaker 1: I feel like, um, I hope that me saying this

14
00:01:03,120 --> 00:01:05,240
Speaker 1: like that we're going to do this makes it that

15
00:01:05,280 --> 00:01:07,840
Speaker 1: we have like uh, like it's copyrighted now you know

16
00:01:07,840 --> 00:01:18,760
Speaker 1: what I'm saying, Time stamp this Phil. Okay, At this

17
00:01:18,880 --> 00:01:23,080
Speaker 1: date we have claimed this came from a listener, but

18
00:01:23,120 --> 00:01:26,800
Speaker 1: he's that we're cutting him out of the loop. Dan,

19
00:01:27,080 --> 00:01:30,480
Speaker 1: we got to Dan up. He gets a free membership.

20
00:01:30,640 --> 00:01:34,720
Speaker 1: You go try to find forgetting the idea at least

21
00:01:34,720 --> 00:01:37,000
Speaker 1: five off the first month. This is what Dan gets

22
00:01:37,040 --> 00:01:45,160
Speaker 1: for having the idea a dating app called RUT. You

23
00:01:45,160 --> 00:01:48,680
Speaker 1: don't like it, Megan, what would you call Yanny said,

24
00:01:48,720 --> 00:01:50,800
Speaker 1: you know, Dan's a dude. Based on the fact that

25
00:01:50,800 --> 00:01:55,240
Speaker 1: he wants to call the dating app it's correct, what

26
00:01:55,280 --> 00:01:57,720
Speaker 1: would you call it? I just don't have a whole

27
00:01:57,720 --> 00:02:01,240
Speaker 1: lot of faith in dating apps period, So it's not

28
00:02:01,240 --> 00:02:05,240
Speaker 1: like you want to call it like breeding seasons. Jesus Christ. No,

29
00:02:05,400 --> 00:02:10,800
Speaker 1: that's a far superior breeding season. Probably go with RUT

30
00:02:11,720 --> 00:02:13,960
Speaker 1: and it's like a dating app. He said. Okay, this

31
00:02:14,000 --> 00:02:17,080
Speaker 1: is a guy that's burned out on dating apps. And

32
00:02:17,120 --> 00:02:18,920
Speaker 1: he says that he sees that we have an interest

33
00:02:18,960 --> 00:02:23,000
Speaker 1: in fixing people up um, and he says that he's

34
00:02:23,000 --> 00:02:26,639
Speaker 1: really burned out on dating maps. He said, farmers dot com. Mr.

35
00:02:26,720 --> 00:02:31,600
Speaker 1: Have you guys ever farmers only? Farmers only farm have

36
00:02:31,720 --> 00:02:33,640
Speaker 1: you like? How much dating app action have you had

37
00:02:33,639 --> 00:02:39,320
Speaker 1: in your life? It's been limited because I uh, I

38
00:02:39,360 --> 00:02:44,840
Speaker 1: guess I haven't tried farmers only, or you know, I haven't.

39
00:02:45,040 --> 00:02:48,120
Speaker 1: I haven't reached out. I've tried to Hinge and tender,

40
00:02:48,800 --> 00:02:52,679
Speaker 1: and you know, I pretty much I download him. I

41
00:02:52,800 --> 00:02:55,960
Speaker 1: meet a couple of folks and I delete them because

42
00:02:56,000 --> 00:02:59,920
Speaker 1: it's it's just I don't think it's a great way

43
00:03:00,040 --> 00:03:04,240
Speaker 1: of meeting people. This is a very I was gonna say.

44
00:03:04,240 --> 00:03:05,360
Speaker 1: I've got a ton of friends that go through that

45
00:03:05,360 --> 00:03:08,320
Speaker 1: whole like download, delete, download, delete, cycle like in a

46
00:03:08,320 --> 00:03:09,680
Speaker 1: couple of times a year. Let me ask you more.

47
00:03:09,720 --> 00:03:11,000
Speaker 1: I want to ask you series of yes or no

48
00:03:11,120 --> 00:03:15,799
Speaker 1: questions because it'll be easier on you on the podcast.

49
00:03:17,080 --> 00:03:20,440
Speaker 1: Well have you done these? Okay, I'm gonna ask you

50
00:03:20,480 --> 00:03:22,720
Speaker 1: both the serious yes no questions. I know you haven't.

51
00:03:22,880 --> 00:03:26,040
Speaker 1: I haven't. I missed. I tell my wife all time.

52
00:03:27,240 --> 00:03:29,919
Speaker 1: If I could go back in time, like normally i'd

53
00:03:29,919 --> 00:03:31,280
Speaker 1: want to go to the place to scene, but if

54
00:03:31,280 --> 00:03:33,560
Speaker 1: there was like a limit, I would go back in time.

55
00:03:34,200 --> 00:03:36,680
Speaker 1: I would go back in time to like a little

56
00:03:36,720 --> 00:03:39,360
Speaker 1: teeny while ago and do dating apps for one day.

57
00:03:39,760 --> 00:03:43,400
Speaker 1: M hm, Like what I think you'd be disappointed? At

58
00:03:43,440 --> 00:03:45,240
Speaker 1: what phase of your life would you have been using

59
00:03:45,280 --> 00:03:48,640
Speaker 1: the dating apps? Like would this have been Steve everything? Would?

60
00:03:48,720 --> 00:03:51,400
Speaker 1: It would be a weird time machine because it would

61
00:03:51,400 --> 00:03:54,960
Speaker 1: be twenty two. I got married before these became a thing, right,

62
00:03:55,040 --> 00:03:56,920
Speaker 1: so I'd have to like it would be like a

63
00:03:56,960 --> 00:04:00,120
Speaker 1: weird time machine did made my life go back a

64
00:04:00,160 --> 00:04:02,640
Speaker 1: certain number of years, so when I wasn't married, but

65
00:04:02,720 --> 00:04:08,200
Speaker 1: then make time when they go forward to when there

66
00:04:08,240 --> 00:04:13,720
Speaker 1: is dating apps that Michael J. Fox it's better, dolorans

67
00:04:14,480 --> 00:04:16,600
Speaker 1: that Michael J. Foxes Doloran. I don't think I had

68
00:04:16,600 --> 00:04:20,520
Speaker 1: settings like this, and I would online date for one day.

69
00:04:20,560 --> 00:04:23,320
Speaker 1: I would love to know what Katie's reaction to this is.

70
00:04:23,839 --> 00:04:26,040
Speaker 1: She knows that, but I think she missed Yeah, of

71
00:04:26,080 --> 00:04:31,799
Speaker 1: course because we haven't married the same day. I mean, yeah,

72
00:04:32,120 --> 00:04:35,080
Speaker 1: so she never did it either. Yeah, he's never done it. Phil,

73
00:04:35,120 --> 00:04:37,040
Speaker 1: you probably missed out, I think with my wife since

74
00:04:37,839 --> 00:04:40,960
Speaker 1: so I was gonna right before all that kind of exploded.

75
00:04:41,040 --> 00:04:45,400
Speaker 1: Cen hit some dating apps, Kevin, you've been married too long? Yeah,

76
00:04:45,400 --> 00:04:49,719
Speaker 1: I didn't do it. I'd ask a series of you

77
00:04:49,720 --> 00:04:52,160
Speaker 1: guys dating app questions, all three of you, yes or no,

78
00:04:53,360 --> 00:04:56,159
Speaker 1: like just gonna want to get down? Have you gone

79
00:04:56,160 --> 00:05:00,080
Speaker 1: on dates from dating apps? Yes? Yes? Yes? Hey? Have

80
00:05:00,160 --> 00:05:04,200
Speaker 1: you developed a boyfriend slash girlfriend through a dating app?

81
00:05:04,240 --> 00:05:14,440
Speaker 1: Meet up? Yes? Yes? Okay, um short series. Yes, this

82
00:05:14,520 --> 00:05:17,320
Speaker 1: guy's like he thinks farmers only as full of posers.

83
00:05:18,880 --> 00:05:21,159
Speaker 1: But rut won't be because you've got to answer. To

84
00:05:21,240 --> 00:05:24,359
Speaker 1: get your profile up, you have to do a flash

85
00:05:24,560 --> 00:05:28,400
Speaker 1: app based session of meat eat or trivia and score

86
00:05:28,440 --> 00:05:32,920
Speaker 1: a certain threshold to be on RUT. Then when you

87
00:05:33,040 --> 00:05:35,040
Speaker 1: hook up on RUTT, you'll know that you're hooking up

88
00:05:35,040 --> 00:05:38,240
Speaker 1: with someone who like has some idea what they're talking about. Well,

89
00:05:38,240 --> 00:05:40,440
Speaker 1: there's one in that's kind of phill would not be

90
00:05:40,480 --> 00:05:43,520
Speaker 1: able to eat, would not. I was gonna say, there's

91
00:05:43,560 --> 00:05:46,160
Speaker 1: one in kind of the celebrity sphere called Ryan or

92
00:05:46,200 --> 00:05:49,200
Speaker 1: they have administrators that have to like approve you, like

93
00:05:49,240 --> 00:05:51,839
Speaker 1: are you famous enough? Are you looking out? So you

94
00:05:52,600 --> 00:06:00,880
Speaker 1: could be the administrator for Rutt, you know you I

95
00:06:00,880 --> 00:06:04,680
Speaker 1: would get too jealous, man, because I'd be like I'd

96
00:06:04,680 --> 00:06:06,560
Speaker 1: be like, oh my god, this app is so good,

97
00:06:06,640 --> 00:06:10,880
Speaker 1: I can't use it. Everyone in Bozeman pretty much claims

98
00:06:10,920 --> 00:06:14,919
Speaker 1: to be an avid outdoorsman. Yeah, because that means anything nowadays.

99
00:06:14,960 --> 00:06:17,440
Speaker 1: That means you go skiing down. It's like you go

100
00:06:17,520 --> 00:06:19,600
Speaker 1: up to Disneyland. You go up to Disneyland up the

101
00:06:19,680 --> 00:06:23,840
Speaker 1: road there and act like that's the outdoors. Uh, there's

102
00:06:23,960 --> 00:06:28,000
Speaker 1: another knock on that was so far out there, I

103
00:06:28,040 --> 00:06:30,479
Speaker 1: didn't even catch him, Like, I wonder what he's talking

104
00:06:30,480 --> 00:06:33,120
Speaker 1: about Steve and I are in the same boat. I

105
00:06:33,160 --> 00:06:35,440
Speaker 1: actually posted something like that on social media the other

106
00:06:35,520 --> 00:06:38,160
Speaker 1: day and it got taken down. Instagram told me that

107
00:06:38,200 --> 00:06:39,720
Speaker 1: it was hate speech, and I was like, I can't

108
00:06:39,720 --> 00:06:42,360
Speaker 1: make fun of my fellow white people and their obsession

109
00:06:42,400 --> 00:06:48,920
Speaker 1: with skiing. You got, yeah, good, Yeah, what did you say?

110
00:06:49,320 --> 00:06:51,240
Speaker 1: It was like, I just landed in Bozeman. I was like,

111
00:06:51,320 --> 00:06:53,800
Speaker 1: let me tell you about white people. White people fucking

112
00:06:53,839 --> 00:06:56,080
Speaker 1: love sliding down snowy hills. They can't get enough of

113
00:06:56,120 --> 00:06:58,960
Speaker 1: that ship. And they were like hate speech, Like that's

114
00:06:58,960 --> 00:07:01,960
Speaker 1: great that their police in that. Man. Yeah. I was like,

115
00:07:01,960 --> 00:07:05,039
Speaker 1: by the way, that was just like just so we're clear,

116
00:07:05,120 --> 00:07:07,320
Speaker 1: I didn't make like that is true what I said,

117
00:07:07,320 --> 00:07:09,320
Speaker 1: because when people bring up that, like if you're like

118
00:07:09,360 --> 00:07:11,960
Speaker 1: a white male, you're supposed to like just take it now,

119
00:07:12,040 --> 00:07:14,600
Speaker 1: you know. But I point out, but like, but I'm

120
00:07:14,680 --> 00:07:17,120
Speaker 1: hearing from people that we always oppressed that it's that

121
00:07:17,480 --> 00:07:20,800
Speaker 1: it sucked. So why like, if it sucks so bad

122
00:07:20,840 --> 00:07:22,560
Speaker 1: and you agree that it sucks, why should I want

123
00:07:22,560 --> 00:07:25,240
Speaker 1: to go Like you just told me it sucks. Yeah,

124
00:07:25,480 --> 00:07:27,320
Speaker 1: So I feel like you're setting me up to not

125
00:07:27,360 --> 00:07:31,640
Speaker 1: want to do it. You know. Yeah, so you guys

126
00:07:31,640 --> 00:07:34,760
Speaker 1: are all real quiet. Now, I'm just saying that I'll

127
00:07:34,760 --> 00:07:37,240
Speaker 1: take it. Send me a white person hate speech to

128
00:07:39,200 --> 00:07:43,360
Speaker 1: what I've heard. I have heard that being stereotyped against

129
00:07:43,400 --> 00:07:46,040
Speaker 1: is not good. Yeah, so yeah, I don't I don't

130
00:07:46,040 --> 00:07:51,280
Speaker 1: like go out of my way to get it. Uh,

131
00:07:52,120 --> 00:07:57,400
Speaker 1: and you one of our favorite individuals. Not yeah, I'd

132
00:07:57,400 --> 00:07:59,920
Speaker 1: say one of our favorite individuals. A pilot in Alaska

133
00:08:00,520 --> 00:08:03,240
Speaker 1: that I've been recently in contact with that is going

134
00:08:03,320 --> 00:08:07,960
Speaker 1: to take Jordan Budneye caribou hunting in August. When I

135
00:08:07,960 --> 00:08:09,679
Speaker 1: caught up to him, he was on a family ski

136
00:08:09,800 --> 00:08:13,840
Speaker 1: vacation and Girdwood, Alaska, and Steve and I were text

137
00:08:13,880 --> 00:08:16,440
Speaker 1: and I said, yeah, we're gonna go cariboo hunting. He said,

138
00:08:16,440 --> 00:08:19,120
Speaker 1: love that guy, man, it's a real great guy. I said, yeah,

139
00:08:19,240 --> 00:08:23,960
Speaker 1: Avid skier too. He replied, bullshit. I said, no, he

140
00:08:24,080 --> 00:08:26,560
Speaker 1: was on a ski vacation. He's like, well, I thought

141
00:08:26,600 --> 00:08:33,240
Speaker 1: he was cool. Uh. You know, I don't know if

142
00:08:33,240 --> 00:08:35,000
Speaker 1: I want to get into this right now. You can't

143
00:08:35,040 --> 00:08:37,640
Speaker 1: give away the secrets are rut just yet. That's how

144
00:08:37,679 --> 00:08:39,360
Speaker 1: you're gonna The other thing is you got to have

145
00:08:39,360 --> 00:08:43,080
Speaker 1: a vailed hunting license to join nice doesn't matter what

146
00:08:43,160 --> 00:08:45,920
Speaker 1: state though, Yeah, could you have tears of that? Like

147
00:08:45,960 --> 00:08:49,760
Speaker 1: if you have five states, you really are in this group?

148
00:08:50,320 --> 00:08:56,240
Speaker 1: He got those superstars. Yeah, question to everyone's profiles real quick,

149
00:08:56,760 --> 00:08:58,640
Speaker 1: just to return. I know that people are probably real

150
00:08:58,679 --> 00:09:03,199
Speaker 1: sticking about. But what's the app for celebrities? Rya. That's

151
00:09:03,240 --> 00:09:05,200
Speaker 1: how that's how celebrities find each other is on an

152
00:09:05,240 --> 00:09:09,040
Speaker 1: app some of them. Yeah, I think you need to.

153
00:09:09,720 --> 00:09:12,720
Speaker 1: I think you just need to talk their agents hook

154
00:09:12,760 --> 00:09:15,280
Speaker 1: him up. Yeah, So like you'd go on there and

155
00:09:15,320 --> 00:09:17,400
Speaker 1: there would be like I don't know, name of celebrity.

156
00:09:17,440 --> 00:09:21,320
Speaker 1: I don't know, Steve Ronella. You could probably get on.

157
00:09:21,440 --> 00:09:25,840
Speaker 1: Ryan didn't say you had to be an A list.

158
00:09:26,400 --> 00:09:30,240
Speaker 1: You could be a C, maybe even a D. Who knows.

159
00:09:30,840 --> 00:09:33,520
Speaker 1: Do you guys ever play that bar game big Buck Hunter?

160
00:09:34,040 --> 00:09:36,839
Speaker 1: Oh yeah no, but you know what I'm talking about,

161
00:09:38,440 --> 00:09:41,600
Speaker 1: ongoing dispute with my kids. Anyways, you know, it's like

162
00:09:41,679 --> 00:09:44,040
Speaker 1: you get enough matches and then it's like you're a

163
00:09:44,120 --> 00:09:49,560
Speaker 1: Hunter hero. My buddy Jimmy Dorn used to have a

164
00:09:49,559 --> 00:09:52,520
Speaker 1: pizza place in Seattle and said, I feel like I've

165
00:09:52,800 --> 00:09:56,520
Speaker 1: told the story how meaning Jimmy Dorn Matt Anyhow, he

166
00:09:56,559 --> 00:09:58,720
Speaker 1: had Buck Hunter in that pizza place, and we'd go

167
00:09:58,760 --> 00:10:00,160
Speaker 1: in there and you'd get my kids a role Old

168
00:10:00,320 --> 00:10:02,360
Speaker 1: Quarters and I was like, dude, don't let him play

169
00:10:02,360 --> 00:10:04,480
Speaker 1: that game. Man, they just be in there playing that game.

170
00:10:04,640 --> 00:10:08,400
Speaker 1: He's just you just think it was funny. Upset me.

171
00:10:08,600 --> 00:10:09,800
Speaker 1: It kind of goes back to how you say, when

172
00:10:09,840 --> 00:10:11,480
Speaker 1: you're at a wedding, you always just kind of scope

173
00:10:11,480 --> 00:10:13,280
Speaker 1: out the guy. That's like, I'm gonna find the hunter

174
00:10:13,480 --> 00:10:14,839
Speaker 1: and I'm gonna talk to him for a while. I

175
00:10:14,840 --> 00:10:16,400
Speaker 1: think Ry is sort of that, because you know, when

176
00:10:16,720 --> 00:10:18,439
Speaker 1: when your celebrity, I assume you just get a lot

177
00:10:18,440 --> 00:10:22,920
Speaker 1: of very like inauthentic conversations and interactions of people just

178
00:10:22,960 --> 00:10:25,800
Speaker 1: trying to sidle up to yet or you know, kiss

179
00:10:25,800 --> 00:10:27,880
Speaker 1: your ass. So I think Ryan is a kind of way.

180
00:10:28,000 --> 00:10:30,160
Speaker 1: It's like an agreement like I'm sort of famous, you're

181
00:10:30,200 --> 00:10:33,640
Speaker 1: sort of famous. Let's get together and do whatever we

182
00:10:33,679 --> 00:10:41,360
Speaker 1: want it. Uh, moving on here, here's uh, here's an

183
00:10:41,360 --> 00:10:45,080
Speaker 1: interesting thing. So we're a little late on this because

184
00:10:45,120 --> 00:10:49,120
Speaker 1: it's already happened Colorado Parks Wildlife. This is an interesting

185
00:10:49,160 --> 00:10:51,360
Speaker 1: issue because this comes up in this This comes up

186
00:10:51,360 --> 00:10:52,600
Speaker 1: in a lot of states and will continue to come

187
00:10:52,640 --> 00:10:55,520
Speaker 1: up in a lot of states. So feller named Trevor

188
00:10:56,640 --> 00:11:02,199
Speaker 1: is with a nonprofit advocacy and restoration group called Grasslands Unlimited.

189
00:11:04,840 --> 00:11:08,960
Speaker 1: They they submitted a petition the Colorado Parks and wild

190
00:11:09,000 --> 00:11:15,240
Speaker 1: Life seeking the legal reclassification of bison that cross from

191
00:11:15,320 --> 00:11:18,600
Speaker 1: Utah into Colorado. Here's what that means. Well, let me

192
00:11:18,640 --> 00:11:20,760
Speaker 1: read the rest of his thing, and he such animals

193
00:11:20,840 --> 00:11:24,520
Speaker 1: right now are regarded as livestock and are not protected

194
00:11:24,520 --> 00:11:27,320
Speaker 1: by Colorado Parks and Wildlife regulations, mean they get shot

195
00:11:27,360 --> 00:11:31,720
Speaker 1: almost immediately. Reclassification would protect the animals, allow them not

196
00:11:31,840 --> 00:11:35,400
Speaker 1: only safety once in Colorado, but also potentially an opportunity

197
00:11:35,400 --> 00:11:39,440
Speaker 1: to repopulate their historic range throughout Colorado and perhaps even

198
00:11:39,440 --> 00:11:43,160
Speaker 1: expand fair chase, free range bison hunting opportunities. He's the

199
00:11:43,200 --> 00:11:47,240
Speaker 1: president of grass and Grasslands on liar, Let me unpack

200
00:11:47,320 --> 00:11:57,559
Speaker 1: this from it. Every animal there, every native land mammal

201
00:11:58,280 --> 00:12:01,920
Speaker 1: in this country, can move from state to state and

202
00:12:02,080 --> 00:12:05,160
Speaker 1: still be wildlife. If a wolverine cross the state lines,

203
00:12:05,440 --> 00:12:10,160
Speaker 1: it's wildlife. Elk, moose, wolf, grizzy bear, black bear. It

204
00:12:10,240 --> 00:12:13,200
Speaker 1: can move across geopolitical boundaries and still would be Like

205
00:12:13,240 --> 00:12:19,520
Speaker 1: everybody would agree, it's wildlife. Somehow I get into this

206
00:12:19,559 --> 00:12:21,960
Speaker 1: a bit in my Buffalo book. Somehow it came to

207
00:12:22,000 --> 00:12:26,079
Speaker 1: be that not Buffalo. I think it was because at

208
00:12:26,120 --> 00:12:28,600
Speaker 1: one time they were so whittled down and the only

209
00:12:28,640 --> 00:12:30,160
Speaker 1: ones that were left, you know, we had like a

210
00:12:30,240 --> 00:12:33,760
Speaker 1: hunter of them. We're in captivity or or like closely

211
00:12:33,760 --> 00:12:36,720
Speaker 1: guarded that people like instantly got used to them all

212
00:12:36,760 --> 00:12:40,160
Speaker 1: being in one place in offense and they've never been

213
00:12:40,200 --> 00:12:44,719
Speaker 1: welcomed back on the landscape. But there was a time

214
00:12:44,760 --> 00:12:48,199
Speaker 1: when New Mexico had zero elk, Like elk were extrapated

215
00:12:48,200 --> 00:12:51,600
Speaker 1: from New Mexico. Right right, there's elk New Mexico. Now

216
00:12:51,920 --> 00:12:54,640
Speaker 1: if elk crosses from Arizona to New Mexico, he doesn't

217
00:12:54,679 --> 00:12:59,000
Speaker 1: cease being an elk. So it's just a weird hiccup.

218
00:12:59,640 --> 00:13:03,000
Speaker 1: And while life law what they're so, what this would

219
00:13:03,000 --> 00:13:04,160
Speaker 1: mean is you could have a you could have a

220
00:13:04,200 --> 00:13:07,640
Speaker 1: wild herd. Um Well, you know this, this happens. It

221
00:13:07,720 --> 00:13:10,080
Speaker 1: has all over the in place for a long time.

222
00:13:10,160 --> 00:13:13,080
Speaker 1: Bison leaving Yelsa National Park, they would step into Montana

223
00:13:13,160 --> 00:13:16,880
Speaker 1: and immediately they would become the property of the Livestock

224
00:13:17,559 --> 00:13:20,880
Speaker 1: Department of Livestock. So here you have some free roaming

225
00:13:20,880 --> 00:13:24,320
Speaker 1: ones in Utah. But once they crawl, once they crossed

226
00:13:24,360 --> 00:13:28,079
Speaker 1: into Colorado, Colorado doesn't have the capacity to manage their

227
00:13:28,160 --> 00:13:32,040
Speaker 1: not the capacity. They're not legally able to manage them

228
00:13:32,040 --> 00:13:39,200
Speaker 1: as wildlife, so they fall into like arrant livestock. Um.

229
00:13:39,240 --> 00:13:40,920
Speaker 1: I think they should do away with all that stuff. Man,

230
00:13:40,960 --> 00:13:44,640
Speaker 1: it's real contentious. Do they become the property of the

231
00:13:44,760 --> 00:13:48,440
Speaker 1: landowner where they're occupying their land? If they would be

232
00:13:48,440 --> 00:13:50,920
Speaker 1: like the same way as if a donkey showed up

233
00:13:50,920 --> 00:13:56,000
Speaker 1: on your land. That happens all the time. Yeah, it's

234
00:13:56,000 --> 00:13:59,520
Speaker 1: a weird deal. Like you could have I made his

235
00:13:59,559 --> 00:14:03,840
Speaker 1: point for it, Like you could have elk go from

236
00:14:04,080 --> 00:14:08,040
Speaker 1: Yellowsto National Park into national on one day and he

237
00:14:08,080 --> 00:14:10,240
Speaker 1: could he could feasibly do this quite easily, go from

238
00:14:10,240 --> 00:14:15,240
Speaker 1: they also National Park into onto municipal property and say

239
00:14:15,400 --> 00:14:21,640
Speaker 1: gardener onto a dude's land, and gardner onto National Forest

240
00:14:22,440 --> 00:14:29,240
Speaker 1: onto a state section onto a fish wildlife from park

241
00:14:29,400 --> 00:14:32,560
Speaker 1: river access site and throughout the day that and then

242
00:14:32,600 --> 00:14:38,800
Speaker 1: and then into Wyoming. That'd be hard. Let's just say, uh,

243
00:14:39,160 --> 00:14:42,600
Speaker 1: that's some bitual a elk all day long. He was

244
00:14:42,640 --> 00:14:45,840
Speaker 1: a wild elk all day long. But we don't we

245
00:14:45,960 --> 00:14:48,280
Speaker 1: it's like for buffalo, we don't have it. So if

246
00:14:48,320 --> 00:14:51,160
Speaker 1: that so if like all the buffalo that are you know,

247
00:14:51,200 --> 00:14:54,440
Speaker 1: outside of like the t tons worked their way across

248
00:14:54,640 --> 00:14:57,480
Speaker 1: into Idaho or something like that, their livestock in Idaho.

249
00:14:57,720 --> 00:14:59,400
Speaker 1: I don't know how live. I don't know how Idaho

250
00:14:59,480 --> 00:15:03,360
Speaker 1: runs it. I'm not sure what they do. Yeah, but

251
00:15:03,400 --> 00:15:05,280
Speaker 1: I think it has anything at all to do it

252
00:15:05,440 --> 00:15:10,600
Speaker 1: that they were not that they're not like pure blooded

253
00:15:10,680 --> 00:15:14,520
Speaker 1: or whatever. There's a lot of like, there's a lot

254
00:15:14,560 --> 00:15:18,400
Speaker 1: of like argument, there's a lot of insincere arguments that

255
00:15:18,480 --> 00:15:23,600
Speaker 1: get thrown into it. So here, for a long time,

256
00:15:23,640 --> 00:15:28,040
Speaker 1: it was that bison were given a Eurasian livestock disease

257
00:15:28,080 --> 00:15:37,400
Speaker 1: called brucellosis. Okay, so cattle gave brucellosis to bison. Um.

258
00:15:37,600 --> 00:15:40,480
Speaker 1: Bison of often are often gunned down on even on

259
00:15:40,560 --> 00:15:44,840
Speaker 1: public land, under the auspice, under the idea that they're

260
00:15:44,840 --> 00:15:48,200
Speaker 1: gonna spread, they're gonna transmit brucellosis, and so the state

261
00:15:49,080 --> 00:15:52,400
Speaker 1: has If a state has brucellosis free status, they don't

262
00:15:52,400 --> 00:15:55,440
Speaker 1: have to test for brucellosis in cattle. But once there's

263
00:15:55,440 --> 00:15:59,400
Speaker 1: a brucellosis infection in a state, in some corner of

264
00:15:59,400 --> 00:16:02,360
Speaker 1: the state. The whole damn state has to go back

265
00:16:02,400 --> 00:16:07,960
Speaker 1: to brucellosis testing. That all sounds perfectly reasonable, except there's

266
00:16:07,960 --> 00:16:11,680
Speaker 1: a wrinkle in it. The alcohol have brucellosis and they

267
00:16:11,720 --> 00:16:15,000
Speaker 1: move wherever they want, and elk intermingle with cattle. It's

268
00:16:15,000 --> 00:16:20,520
Speaker 1: just like a weirdo. Brucellois causes halfers to abort the fetus,

269
00:16:22,280 --> 00:16:25,480
Speaker 1: so like, but elk have it, and no one ever

270
00:16:25,520 --> 00:16:27,840
Speaker 1: suggested that they gunned down every elk across the state

271
00:16:27,880 --> 00:16:32,040
Speaker 1: lines because it's carrying brucellosis. So there's that. There's like

272
00:16:32,240 --> 00:16:35,160
Speaker 1: the they're dangerous to you know, they'll now and then

273
00:16:35,280 --> 00:16:38,760
Speaker 1: kill something. They'll kill a horse or whatever. They go

274
00:16:38,840 --> 00:16:41,840
Speaker 1: through fences, which is legit. They just walk through fences,

275
00:16:41,920 --> 00:16:44,440
Speaker 1: and that pisces people off. And the eat grass and

276
00:16:44,480 --> 00:16:47,160
Speaker 1: that pisces people off. Like those are the legitimate ones.

277
00:16:47,200 --> 00:16:49,600
Speaker 1: But people are often like acting like it's something else

278
00:16:49,600 --> 00:16:55,440
Speaker 1: that they're mad about. Got them. Um, if I had to, like,

279
00:16:55,640 --> 00:16:58,400
Speaker 1: if I had to do the uh, if I had

280
00:16:58,440 --> 00:17:03,040
Speaker 1: to crystal ball it, I would crystal ball that. In

281
00:17:03,160 --> 00:17:12,840
Speaker 1: twenty years they have they have greater acceptance. Here's my prediction, Like,

282
00:17:12,920 --> 00:17:14,800
Speaker 1: if I got to do a time capsule. I would

283
00:17:14,800 --> 00:17:17,200
Speaker 1: put a note in the time capsule that said, there

284
00:17:17,240 --> 00:17:21,480
Speaker 1: are more bison and you're hunting them more often. I

285
00:17:21,520 --> 00:17:24,560
Speaker 1: would put that into a time castle. Shouldn't I mean

286
00:17:24,600 --> 00:17:28,320
Speaker 1: color out of his addressing this right now? But do

287
00:17:28,359 --> 00:17:31,040
Speaker 1: you see it being addressed on a federal level in

288
00:17:31,080 --> 00:17:36,320
Speaker 1: the future they became the National Mammal But no, I don't.

289
00:17:36,400 --> 00:17:39,240
Speaker 1: I think it's gonna be state by state, And there's

290
00:17:39,240 --> 00:17:42,040
Speaker 1: a lot of like it's all really you know, the

291
00:17:42,800 --> 00:17:45,120
Speaker 1: here in this state, there's a lot of conversation about

292
00:17:45,119 --> 00:17:49,040
Speaker 1: trying to restore a free roaming herd in the Charles M.

293
00:17:49,119 --> 00:17:53,159
Speaker 1: Russell in the CMR right and the refuge uh a

294
00:17:53,240 --> 00:17:55,119
Speaker 1: lot of people that really pisces off a lot of

295
00:17:55,119 --> 00:17:58,960
Speaker 1: people for the reason of the fencing and grass competition,

296
00:17:59,160 --> 00:18:01,320
Speaker 1: and people are looking, well, I lease some of that

297
00:18:01,359 --> 00:18:02,879
Speaker 1: and I run my cattle on it. And now you

298
00:18:02,880 --> 00:18:04,760
Speaker 1: want to put like, now you're hoping to have like

299
00:18:04,800 --> 00:18:07,400
Speaker 1: eight nine thousand bison running around on what's that kind

300
00:18:07,400 --> 00:18:09,680
Speaker 1: of mean for my long term the long term viability

301
00:18:09,720 --> 00:18:12,639
Speaker 1: my grazing program. And so then you get people who

302
00:18:12,640 --> 00:18:13,840
Speaker 1: are just like, I don't like that because it just

303
00:18:13,880 --> 00:18:17,480
Speaker 1: sounds like something different and I'm doing good under the

304
00:18:17,520 --> 00:18:21,240
Speaker 1: current system. But my yeah, my time capsule is that

305
00:18:21,600 --> 00:18:24,520
Speaker 1: you'll be hunting, you'll have more opportunities to draw bison

306
00:18:24,560 --> 00:18:26,800
Speaker 1: tags in the future, and it will be more likely

307
00:18:26,840 --> 00:18:28,800
Speaker 1: that you live in a state where the state regards

308
00:18:28,800 --> 00:18:31,600
Speaker 1: them as wildlife and not live stock. I wonder if

309
00:18:31,640 --> 00:18:35,440
Speaker 1: somewhere like Texas, where you know, even Elker considered exotics, Like,

310
00:18:35,480 --> 00:18:37,000
Speaker 1: I wonder if you end up with bison there, if

311
00:18:37,000 --> 00:18:39,720
Speaker 1: they're going to become this non native and be you know,

312
00:18:39,800 --> 00:18:43,200
Speaker 1: hunt hunted under a an exotic tag where you can

313
00:18:43,200 --> 00:18:45,399
Speaker 1: just hunt them year around, no bag limit, all that

314
00:18:45,440 --> 00:18:47,240
Speaker 1: kind of stuff. I'd like, know what tech how Texas

315
00:18:47,280 --> 00:18:49,359
Speaker 1: handles it. The helps thing in Texas is crazy to me.

316
00:18:49,600 --> 00:18:51,400
Speaker 1: Then you're talking about a native animal and you're damned

317
00:18:51,400 --> 00:18:53,680
Speaker 1: you're talking about a native animal with with bison. But

318
00:18:53,720 --> 00:18:57,400
Speaker 1: I would be shocked if Texas regards bisons livestock, regards

319
00:18:57,400 --> 00:19:00,400
Speaker 1: bison as wildlife. Yeah, even though some of the biggest

320
00:19:00,600 --> 00:19:02,639
Speaker 1: you know, some of the big hide hunters, the some

321
00:19:02,680 --> 00:19:06,200
Speaker 1: of the biggest hide hunter slaughters around the Texas Panhandle.

322
00:19:06,280 --> 00:19:08,880
Speaker 1: I mean right now, Texas claims them as an exotic.

323
00:19:09,640 --> 00:19:12,640
Speaker 1: They do because they'll have them on like these big

324
00:19:12,720 --> 00:19:17,360
Speaker 1: gas hunting ranches, and you know they're they're fair game,

325
00:19:17,440 --> 00:19:19,280
Speaker 1: just like anything else is. You don't have to have

326
00:19:19,320 --> 00:19:23,440
Speaker 1: a specific tag form. You just have your general hunting license. Uh,

327
00:19:23,480 --> 00:19:26,679
Speaker 1: and that's it. You can. What's what I find unfortunate

328
00:19:26,680 --> 00:19:29,919
Speaker 1: about that is it was some players down in the

329
00:19:29,960 --> 00:19:35,200
Speaker 1: Texas Panhandle that were most instrumental in saving them from extinction.

330
00:19:35,359 --> 00:19:41,679
Speaker 1: Yeah mhm, here's the irony of it. Yeah, yeah, Buffalo,

331
00:19:41,760 --> 00:19:44,159
Speaker 1: this dude, Buffalo Jones and then like what's that that

332
00:19:44,240 --> 00:19:46,480
Speaker 1: property like the good Night Yeah, the good Night Ranch.

333
00:19:46,760 --> 00:19:49,040
Speaker 1: He was real instrumental in it. So they have kind

334
00:19:49,040 --> 00:19:52,840
Speaker 1: of have this legacy of you know, these reformed hide

335
00:19:52,880 --> 00:19:55,760
Speaker 1: hunters trying to save them, and it seems like you

336
00:19:55,760 --> 00:19:59,840
Speaker 1: would honor that legacy with like regarding them as native wildlife.

337
00:20:00,960 --> 00:20:06,080
Speaker 1: Here's a here's the elk article out of Utah. That's interesting. Um.

338
00:20:06,119 --> 00:20:07,719
Speaker 1: I mean it kind of tells people what they already

339
00:20:07,720 --> 00:20:11,320
Speaker 1: know that when it's elk season, elk leave public land

340
00:20:11,320 --> 00:20:17,080
Speaker 1: and go on to private land. Yes, true story. It's

341
00:20:17,119 --> 00:20:19,639
Speaker 1: like one of those articles where you're like, you know, yeah,

342
00:20:19,800 --> 00:20:21,320
Speaker 1: but it but it does put it and put some

343
00:20:21,400 --> 00:20:27,119
Speaker 1: numbers around it. In the Journal of Wildlife Management UM

344
00:20:27,200 --> 00:20:33,760
Speaker 1: in Utah, Okay elk reduced by the middle of Right,

345
00:20:33,800 --> 00:20:37,160
Speaker 1: by the middle of firearm season, elk had reduced their

346
00:20:37,240 --> 00:20:44,200
Speaker 1: use of public lands by on the private land UM.

347
00:20:44,240 --> 00:20:47,199
Speaker 1: The herd returned to public land almost immediately after the

348
00:20:47,240 --> 00:20:52,399
Speaker 1: season ended, like they know. This is based on the

349
00:20:52,440 --> 00:20:57,280
Speaker 1: patterns of four elk with tracking collars in the Wahsatch range.

350
00:20:57,280 --> 00:21:01,720
Speaker 1: Am I saying that right yunni mhm, the collars are

351
00:21:01,760 --> 00:21:05,520
Speaker 1: paying every thirteen hours. One of my said at twelve

352
00:21:08,280 --> 00:21:11,640
Speaker 1: maybe that maybe that actually hour saves a lot of battery.

353
00:21:12,760 --> 00:21:17,680
Speaker 1: I would have felt like, I don't know, man, interestingly,

354
00:21:18,520 --> 00:21:21,080
Speaker 1: because out of set it for noon and midnight. Yeah.

355
00:21:22,000 --> 00:21:24,200
Speaker 1: I was talking to Garrett Long's dad the other day

356
00:21:24,520 --> 00:21:27,320
Speaker 1: and uh, he was out hunting late season cows, which

357
00:21:27,359 --> 00:21:33,280
Speaker 1: you can only hunt on private land in Montana. I mean,

358
00:21:33,320 --> 00:21:35,680
Speaker 1: there's a few units that have public land late season

359
00:21:35,720 --> 00:21:37,760
Speaker 1: cow hunts, but these that go like well into February

360
00:21:37,880 --> 00:21:41,159
Speaker 1: mostly on private land, and they were dealing with the

361
00:21:41,200 --> 00:21:44,560
Speaker 1: exact opposite. He's like, I've hunted this spot during rifle

362
00:21:44,600 --> 00:21:47,240
Speaker 1: season and those damn milk are always on the public now,

363
00:21:47,600 --> 00:21:50,199
Speaker 1: or they're always on the private. I have access to

364
00:21:50,240 --> 00:21:53,280
Speaker 1: the public now, and the elk were like literally three

365
00:21:53,359 --> 00:21:56,200
Speaker 1: days in a row hanging out like fifty undred yards

366
00:21:56,320 --> 00:21:58,960
Speaker 1: on the onto the public land and not on the

367
00:21:58,960 --> 00:22:02,160
Speaker 1: private where they could. They're smart, man, my old man,

368
00:22:02,240 --> 00:22:04,400
Speaker 1: you taught about like they used to hunt geese back

369
00:22:04,440 --> 00:22:07,840
Speaker 1: when there weren't like any geese um in the fifties.

370
00:22:09,040 --> 00:22:11,320
Speaker 1: They'd hunt geese in southern Illinois, and they hunt on

371
00:22:11,359 --> 00:22:13,840
Speaker 1: these refuges that you couldn't Uh, this is probably still

372
00:22:13,840 --> 00:22:17,000
Speaker 1: something this way you can only shoot till noon, yeah,

373
00:22:17,200 --> 00:22:19,720
Speaker 1: or whatever the hell was still that way. Yeah, he

374
00:22:19,800 --> 00:22:22,959
Speaker 1: said that. Man, he says, at noon, you're packing up

375
00:22:22,960 --> 00:22:26,800
Speaker 1: your stuff and they're pouring in. It was so like

376
00:22:26,800 --> 00:22:28,440
Speaker 1: what they would normally do at a different time. Data

377
00:22:28,520 --> 00:22:31,479
Speaker 1: was pouring in as you're picking yourself up. When I

378
00:22:31,520 --> 00:22:36,440
Speaker 1: was down in Arkansas with Clay this January, we're hunting

379
00:22:36,480 --> 00:22:41,800
Speaker 1: public big famous public area that closes at noon, and

380
00:22:42,160 --> 00:22:46,520
Speaker 1: at like to a t at twelve oh one, the

381
00:22:46,640 --> 00:22:50,679
Speaker 1: refuge all up in the air pouring into the public

382
00:22:50,720 --> 00:22:54,560
Speaker 1: timber like tens of thousands of ducks at twelve oh one.

383
00:22:54,680 --> 00:22:56,960
Speaker 1: Are like, okay, now it's time to go to the timber.

384
00:22:57,000 --> 00:23:02,720
Speaker 1: Because the hunters are gone. It's unbelievable. Um, as we

385
00:23:02,760 --> 00:23:05,119
Speaker 1: talked about that you have banded birds that are like

386
00:23:05,160 --> 00:23:07,440
Speaker 1: seventeen eighteen years old. It gives him a couple of

387
00:23:07,480 --> 00:23:10,200
Speaker 1: years to put it together. Well, you got to think

388
00:23:10,240 --> 00:23:14,119
Speaker 1: that they do, you know. That was the thing that

389
00:23:14,280 --> 00:23:17,159
Speaker 1: was interesting to me about these elk the day after

390
00:23:17,200 --> 00:23:21,439
Speaker 1: season moving back onto it. You almost wonder if that

391
00:23:21,520 --> 00:23:25,280
Speaker 1: becomes ingrained in them, that they do understand the dates

392
00:23:25,960 --> 00:23:29,240
Speaker 1: to some level. Or is it because they're like aware

393
00:23:29,280 --> 00:23:32,480
Speaker 1: there's not pressure there today because that there's no human

394
00:23:32,480 --> 00:23:37,879
Speaker 1: activity there today, or is it because they've learned the

395
00:23:37,920 --> 00:23:42,399
Speaker 1: season dates by two weeks and they would wait until

396
00:23:42,440 --> 00:23:45,440
Speaker 1: the trucks leave. Yeah, I think there's like indicators. Man.

397
00:23:45,440 --> 00:23:47,560
Speaker 1: That's one of my favorite during stories is when he

398
00:23:47,640 --> 00:23:52,960
Speaker 1: killed the standard? Did uh he took his skids to

399
00:23:53,040 --> 00:23:54,440
Speaker 1: you or something there? I don't know what he took.

400
00:23:54,760 --> 00:23:57,679
Speaker 1: And the standard is a giant, biggest ever killed on

401
00:23:57,720 --> 00:24:00,520
Speaker 1: the Durn farm, but I don't know that. Yeah, he

402
00:24:00,600 --> 00:24:03,840
Speaker 1: saw an area and when he went in there, he

403
00:24:03,880 --> 00:24:07,600
Speaker 1: took his tractor in there and left his tractor running

404
00:24:07,600 --> 00:24:09,600
Speaker 1: while he hung his sign, you know, or while he

405
00:24:09,680 --> 00:24:12,120
Speaker 1: hung his staying because he's like he just didn't want

406
00:24:12,119 --> 00:24:14,120
Speaker 1: to do any little like thing where they're like ship,

407
00:24:14,200 --> 00:24:18,280
Speaker 1: that's a weird truck. Yeah, I think that's a true

408
00:24:18,280 --> 00:24:20,800
Speaker 1: Like we see that on my hunting property in Georgia,

409
00:24:20,840 --> 00:24:24,320
Speaker 1: that they have a completely different reaction to the sound

410
00:24:24,359 --> 00:24:26,159
Speaker 1: of your truck than they do to even like you know,

411
00:24:26,200 --> 00:24:28,480
Speaker 1: you're like side by side, like the sound of the engine,

412
00:24:28,640 --> 00:24:32,159
Speaker 1: like snow, completely different reactions. Snuggy is hardly bad night

413
00:24:32,240 --> 00:24:34,320
Speaker 1: at a truck driving by. But if that truck slows

414
00:24:34,400 --> 00:24:38,159
Speaker 1: down there gone quick, you see like that, Like I

415
00:24:38,160 --> 00:24:43,520
Speaker 1: don't mind cars that are moving real fast. Yeah, they

416
00:24:43,560 --> 00:24:46,000
Speaker 1: tend to have something hanging out the window. Joy Today

417
00:24:46,040 --> 00:24:49,800
Speaker 1: by Maggie Hudlow very on You're not up yet. I'm

418
00:24:49,800 --> 00:24:53,439
Speaker 1: just telling it. I'm just doing interductions. Kevin Gillaspie, uh

419
00:24:53,520 --> 00:25:01,800
Speaker 1: pills here, Karan Sean Weaver in the flesh yep. Hey,

420
00:25:01,840 --> 00:25:04,480
Speaker 1: do you know how many um I should ask you

421
00:25:04,520 --> 00:25:09,640
Speaker 1: this question? Canada goose You know that Parker company? How

422
00:25:09,640 --> 00:25:12,680
Speaker 1: many geese have to go into one of those jackets.

423
00:25:13,240 --> 00:25:16,760
Speaker 1: I've been trying to figure that out. There's a there's

424
00:25:16,760 --> 00:25:23,080
Speaker 1: a company in California doing hunter sourced down which is

425
00:25:23,080 --> 00:25:26,359
Speaker 1: really cool. But because part of what miss me about

426
00:25:26,400 --> 00:25:29,040
Speaker 1: Canada geese is a goose or whatever the park is.

427
00:25:29,280 --> 00:25:31,480
Speaker 1: I guess Anderson Cooper has one of these damn things.

428
00:25:31,880 --> 00:25:35,399
Speaker 1: What are they called Canada goose? They made this big

429
00:25:35,440 --> 00:25:37,440
Speaker 1: thing out of how they're not putting real kyote for

430
00:25:37,680 --> 00:25:40,840
Speaker 1: on the there's stuff like this year they're phasing out

431
00:25:40,880 --> 00:25:43,960
Speaker 1: all for And I asked a buddy of mine who's

432
00:25:43,960 --> 00:25:47,400
Speaker 1: a furrier, I said, how many how many fur how

433
00:25:47,400 --> 00:25:50,440
Speaker 1: many fur roughs could Canada goose get off one coyote?

434
00:25:50,480 --> 00:25:53,399
Speaker 1: He said three to five. But the best I can tell,

435
00:25:53,440 --> 00:25:57,480
Speaker 1: there's twelve damn geese inside the jacket. It's it's probably

436
00:25:57,560 --> 00:26:00,399
Speaker 1: even more than that. It's probably even And now I

437
00:26:00,400 --> 00:26:02,080
Speaker 1: spent some time on it, and I put someone else

438
00:26:02,160 --> 00:26:04,040
Speaker 1: on the question and she's like, man, it's really hard

439
00:26:04,080 --> 00:26:06,240
Speaker 1: to figure out the answer. But I think about a dozen.

440
00:26:07,800 --> 00:26:09,760
Speaker 1: So you got a dozen dead things in your coat

441
00:26:10,119 --> 00:26:11,880
Speaker 1: in a fifth of a dead thing on the outside

442
00:26:11,880 --> 00:26:14,040
Speaker 1: of your coat. Yeah, And they're getting rid of the

443
00:26:14,080 --> 00:26:16,360
Speaker 1: dead thing on the outside of the coat. I need

444
00:26:16,400 --> 00:26:18,520
Speaker 1: to I'm gonna call up that. I feel like the

445
00:26:18,560 --> 00:26:21,480
Speaker 1: guys that like next time, next time I come on,

446
00:26:21,520 --> 00:26:23,760
Speaker 1: I'll have that. I'm going to call that company in

447
00:26:23,800 --> 00:26:26,680
Speaker 1: California because that's an interesting question. They're doing it with.

448
00:26:27,200 --> 00:26:30,119
Speaker 1: So they've got all those refuges down in the valley

449
00:26:30,160 --> 00:26:33,639
Speaker 1: out there, and hunters when they're done with their birds,

450
00:26:33,760 --> 00:26:36,439
Speaker 1: they offer a plucking service. So they kind of have

451
00:26:36,480 --> 00:26:40,639
Speaker 1: a cool double dip going on where uh, where hunters

452
00:26:40,640 --> 00:26:43,640
Speaker 1: can bring the birds to them to get plucked. They

453
00:26:43,720 --> 00:26:46,320
Speaker 1: charge them for the plug, but then they also get

454
00:26:46,320 --> 00:26:49,760
Speaker 1: to keep the feathers. And yeah, they make pillows and yeah,

455
00:26:49,800 --> 00:26:52,119
Speaker 1: my old man did a sleeping bag with his own feathers.

456
00:26:52,119 --> 00:26:53,760
Speaker 1: But he said it was a pain in the ass.

457
00:26:53,760 --> 00:26:56,640
Speaker 1: Oh yeah, he had bags and bags and bags them.

458
00:26:56,640 --> 00:26:59,080
Speaker 1: Then they had like shampoo them. Yeah, they have to

459
00:26:59,080 --> 00:27:01,560
Speaker 1: get rid of the big feathers, right and just try

460
00:27:01,640 --> 00:27:03,919
Speaker 1: to keep the down. Yeah, he didn't suggest that he

461
00:27:03,960 --> 00:27:06,119
Speaker 1: had trash bags full of feathers while he's trying to

462
00:27:06,520 --> 00:27:10,879
Speaker 1: would like my own coat down at harvested myself. You

463
00:27:10,920 --> 00:27:12,199
Speaker 1: know what else he did, man, And I don't know

464
00:27:12,240 --> 00:27:14,840
Speaker 1: what happened to it. He had a he had remember

465
00:27:14,880 --> 00:27:16,800
Speaker 1: like in the seventies, he'd wear like a business coat

466
00:27:16,840 --> 00:27:18,439
Speaker 1: made out of leather with like a belt on it,

467
00:27:18,480 --> 00:27:22,600
Speaker 1: and ship he had he had his own he saved

468
00:27:22,640 --> 00:27:24,800
Speaker 1: all of his own deerskins and had his own buckskin

469
00:27:24,960 --> 00:27:30,200
Speaker 1: business coat. That's pretty cool. Yeah, died black. That seems

470
00:27:30,240 --> 00:27:35,320
Speaker 1: like I was like, that's a strong Yeah, you like

471
00:27:35,320 --> 00:27:38,720
Speaker 1: a mega pimp because even got like the belt. But

472
00:27:39,040 --> 00:27:41,399
Speaker 1: that's not you wouldn't be able to run around now.

473
00:27:43,119 --> 00:27:45,159
Speaker 1: It would have a lot more personality than I have.

474
00:27:47,400 --> 00:27:49,560
Speaker 1: You don't still have this jacket. I gotta find I

475
00:27:49,560 --> 00:27:51,080
Speaker 1: don't know what happened to it last time I was home.

476
00:27:51,119 --> 00:27:55,320
Speaker 1: I was trying to find. That would be awesome. Um,

477
00:27:55,480 --> 00:27:58,160
Speaker 1: guy rode in with c w D, Like, this guy's

478
00:27:58,200 --> 00:28:01,400
Speaker 1: interested in brainton. It's a really good segue there. I'm

479
00:28:01,440 --> 00:28:06,120
Speaker 1: surprised that. Oh yeah, speaking of that buckskin jack, it's

480
00:28:06,119 --> 00:28:12,040
Speaker 1: good to have it back. County is uh so Chronic

481
00:28:12,080 --> 00:28:16,480
Speaker 1: wasting disease right concentrates in the nervous systems of animals,

482
00:28:17,040 --> 00:28:21,920
Speaker 1: spine brain. He's like, man, what about brain tan? And

483
00:28:21,960 --> 00:28:23,639
Speaker 1: are you are you worried about I don't, I mean,

484
00:28:23,640 --> 00:28:25,800
Speaker 1: I don't brain tan. But he's saying should a feller

485
00:28:25,840 --> 00:28:29,760
Speaker 1: be worried about brain tanon with c w D uh

486
00:28:29,920 --> 00:28:36,760
Speaker 1: so prevalent in America's deer herds. Hmm, it's just kind

487
00:28:36,800 --> 00:28:43,320
Speaker 1: of obvious heffle finger. I don't think it's obvious. I

488
00:28:43,320 --> 00:28:45,920
Speaker 1: don't think so. If you said to me, let's say

489
00:28:45,920 --> 00:28:49,640
Speaker 1: you sat me down, you put a gun to my head, okay, okay,

490
00:28:50,120 --> 00:28:54,760
Speaker 1: and you said listen, sonny, everyone little finger stuck out.

491
00:28:56,120 --> 00:28:59,240
Speaker 1: You said you either eat that c w D infected

492
00:28:59,240 --> 00:29:05,360
Speaker 1: dear meat or brain tan his hide. I would put

493
00:29:05,360 --> 00:29:07,840
Speaker 1: my latex gloves on and brain tan that hide ten

494
00:29:07,840 --> 00:29:13,440
Speaker 1: times over, ten times over. Hm. I'm imagining this person

495
00:29:13,520 --> 00:29:17,719
Speaker 1: with the gun in that buckskin. I'm sure that's what

496
00:29:17,760 --> 00:29:22,760
Speaker 1: this is all about. I want to understand why you

497
00:29:22,960 --> 00:29:26,960
Speaker 1: think that way though, because you're directly handling the nervousness

498
00:29:27,000 --> 00:29:29,560
Speaker 1: because I'm not ingesting them, and I got my latex

499
00:29:29,560 --> 00:29:34,560
Speaker 1: gloves on and I'm not ingesting them, okay. And I'll

500
00:29:34,600 --> 00:29:36,920
Speaker 1: put like a like a you know, like when you

501
00:29:36,920 --> 00:29:38,720
Speaker 1: have a little kid and they have a passive fire

502
00:29:38,720 --> 00:29:41,640
Speaker 1: and it's got that lip guard around it. I'll put

503
00:29:41,640 --> 00:29:45,880
Speaker 1: one of those in, okay, to prevent stuff from getting

504
00:29:45,880 --> 00:29:48,239
Speaker 1: in around my lips, looking super pimp. And I'll put

505
00:29:49,320 --> 00:29:53,560
Speaker 1: mask laying around these days because I was one. What

506
00:29:53,600 --> 00:29:55,320
Speaker 1: I was gonna do with a what I was gonna

507
00:29:55,320 --> 00:29:59,120
Speaker 1: do with all my COVID man. So instead, Steve's immediately like,

508
00:29:59,160 --> 00:30:01,240
Speaker 1: I need to go into those A don't like rave

509
00:30:01,400 --> 00:30:06,760
Speaker 1: pacifier so that I can brains hand. I forgot about masks.

510
00:30:06,840 --> 00:30:12,920
Speaker 1: I forgot. How sure your memory is forgot? It is like,

511
00:30:12,960 --> 00:30:14,720
Speaker 1: what are people gonna do with those masks? I think

512
00:30:14,720 --> 00:30:17,240
Speaker 1: it'd be sweet to make a goose down quilt on

513
00:30:17,440 --> 00:30:21,920
Speaker 1: all your COVID masks, like so the little things together,

514
00:30:22,480 --> 00:30:26,239
Speaker 1: old school Appalachian style, our goose season in two. Let

515
00:30:26,280 --> 00:30:28,880
Speaker 1: me tell you so. So During points out that he

516
00:30:28,920 --> 00:30:32,160
Speaker 1: don't eat deer meat that is cw positively Okay, helfle

517
00:30:32,240 --> 00:30:35,920
Speaker 1: finger Crane brought it to hefflefinger. Helfle finger, James Helflefinger.

518
00:30:36,440 --> 00:30:52,960
Speaker 1: Do we still have that helflefinger song? Uh? He says

519
00:30:53,000 --> 00:30:56,120
Speaker 1: he wouldn't do it if it was positive or if

520
00:30:56,160 --> 00:30:58,520
Speaker 1: it was untested. But if you had the deer and

521
00:30:58,560 --> 00:31:00,560
Speaker 1: it was tested negative, which is do anything like if

522
00:31:00,560 --> 00:31:02,240
Speaker 1: you have testing available to you, I don't care if

523
00:31:02,280 --> 00:31:03,800
Speaker 1: you decided to eat it. I should say, I don't care.

524
00:31:04,240 --> 00:31:06,600
Speaker 1: Even if you don't care, and they're going to eat

525
00:31:06,800 --> 00:31:11,360
Speaker 1: c w D positive meat, And I'll point out no

526
00:31:11,760 --> 00:31:16,920
Speaker 1: human has caught anything from deer yet. Yeah, people have

527
00:31:17,000 --> 00:31:19,680
Speaker 1: eaten hundreds of thousands of pounds have infected deer meat

528
00:31:19,720 --> 00:31:23,160
Speaker 1: and no one's gotten it yet. So if you're like, Wow,

529
00:31:23,480 --> 00:31:25,720
Speaker 1: what are the chances I'll be the first and you're

530
00:31:25,720 --> 00:31:27,840
Speaker 1: eating it? I would still encourage you to get it

531
00:31:27,880 --> 00:31:32,400
Speaker 1: tested just so they can use it for Like, getting

532
00:31:32,400 --> 00:31:35,160
Speaker 1: it tested doesn't mean that you're gonna pitch it, just

533
00:31:35,160 --> 00:31:39,040
Speaker 1: getting it just so they can track infection rates. Yeah,

534
00:31:39,080 --> 00:31:41,240
Speaker 1: which is a great segue into the next talking point,

535
00:31:42,520 --> 00:31:44,800
Speaker 1: c w D mapping info or did I say that

536
00:31:44,840 --> 00:31:47,400
Speaker 1: halfle Finger says if he got it tested and it

537
00:31:47,440 --> 00:31:51,160
Speaker 1: was negative, he would brain Tan with it. I mean

538
00:31:51,160 --> 00:31:53,000
Speaker 1: that's what I meant by the common sense part. Right.

539
00:31:54,200 --> 00:31:56,640
Speaker 1: So we're harkinging back here to episode three oh seven

540
00:31:56,640 --> 00:32:01,560
Speaker 1: talking about things that are not sexy to talk about. Um,

541
00:32:01,600 --> 00:32:03,520
Speaker 1: and someone was mentioning how there should be a c

542
00:32:03,760 --> 00:32:06,200
Speaker 1: w D, a single database where you can see all

543
00:32:06,200 --> 00:32:09,160
Speaker 1: CWD stuff. I'm sure it's gotta be a million of them.

544
00:32:09,200 --> 00:32:14,120
Speaker 1: I don't know. Uh. Matt Dunfie of the Wildlife Management Institute,

545
00:32:15,160 --> 00:32:19,040
Speaker 1: who's been working on the software behind www dot c

546
00:32:19,400 --> 00:32:24,640
Speaker 1: w D dash info dot org went public the other week.

547
00:32:24,880 --> 00:32:29,880
Speaker 1: They don't mean like Public on Wall Street made available

548
00:32:29,920 --> 00:32:34,960
Speaker 1: to the public the other week. Um hefflefinger. I don't

549
00:32:34,960 --> 00:32:36,640
Speaker 1: if you don't play that thing all over again, Phil,

550
00:32:37,480 --> 00:32:52,880
Speaker 1: why not? He says, It's long been the best source

551
00:32:52,920 --> 00:32:57,520
Speaker 1: of c w D info. These new apps and maps

552
00:32:57,560 --> 00:32:59,400
Speaker 1: on the website allow you to visualize a lot of

553
00:32:59,400 --> 00:33:03,040
Speaker 1: great c e D information in a useful way. When

554
00:33:03,040 --> 00:33:05,240
Speaker 1: there's a new state define c w D, it shows

555
00:33:05,320 --> 00:33:08,080
Speaker 1: up here within twenty four hours or so. So it's

556
00:33:08,080 --> 00:33:11,920
Speaker 1: good to have the site bookmarked. That's interesting, all right.

557
00:33:11,920 --> 00:33:15,680
Speaker 1: If you live in Wisconsin, Um, you and you're looking

558
00:33:15,680 --> 00:33:20,520
Speaker 1: forward to your tax return this year? How's that? That

559
00:33:20,640 --> 00:33:23,800
Speaker 1: was like being out like a nightly news program Wisconsin.

560
00:33:23,880 --> 00:33:26,520
Speaker 1: He's looking forward to their tax return sitting next to

561
00:33:26,600 --> 00:33:29,560
Speaker 1: Jimmy fallon first might you might get an extra ten

562
00:33:29,600 --> 00:33:33,719
Speaker 1: bucks if you got a wolf fee because those sons

563
00:33:33,720 --> 00:33:39,040
Speaker 1: of bitches uh put wolves in the lower forty eight.

564
00:33:40,600 --> 00:33:42,640
Speaker 1: They put them back on the E s A list.

565
00:33:44,400 --> 00:33:48,360
Speaker 1: It's just unbelievable outside of the Northern Rockies, unbelievable that

566
00:33:48,400 --> 00:33:52,120
Speaker 1: they would have done this, but they did it. You

567
00:33:52,160 --> 00:33:55,240
Speaker 1: just can't win, man. In the political climate today, everybody's

568
00:33:55,240 --> 00:33:59,240
Speaker 1: scroozy in some way or another. So, Wisconsin has a

569
00:33:59,280 --> 00:34:01,480
Speaker 1: gift back every raise the application fee. So if you

570
00:34:01,520 --> 00:34:05,360
Speaker 1: live in Wisconsin, you applied for fall wolf harvest permit

571
00:34:05,560 --> 00:34:08,920
Speaker 1: or preference point, watch the mail because your ten boxes

572
00:34:09,000 --> 00:34:13,160
Speaker 1: coming back to you and you get they'll restore all

573
00:34:13,200 --> 00:34:18,359
Speaker 1: your wolf preference points. So when this gets sorted out

574
00:34:18,400 --> 00:34:22,279
Speaker 1: and they get so that's sweet. Yeah, that's the whole

575
00:34:22,320 --> 00:34:25,520
Speaker 1: preference points. When they get it sorted out, you'll still

576
00:34:25,520 --> 00:34:31,479
Speaker 1: have your preference points. Yeahs. I hate to be that guy,

577
00:34:31,800 --> 00:34:36,000
Speaker 1: but I'd love to know how many I'd love to

578
00:34:36,040 --> 00:34:38,440
Speaker 1: know this change, Like how much money has to be

579
00:34:38,520 --> 00:34:41,879
Speaker 1: spent in all this to refund everybody there? Exactly? That's

580
00:34:41,920 --> 00:34:43,840
Speaker 1: what I was thinking. I was like, how much the

581
00:34:43,880 --> 00:34:48,279
Speaker 1: ten bucks are we spending to refund ten months? Like yeah, exactly,

582
00:34:50,200 --> 00:34:54,839
Speaker 1: and state they're gonna literally mail you a ten dollar

583
00:34:54,960 --> 00:34:57,879
Speaker 1: chip like which then you'll be like, oh, that's great, thanks,

584
00:34:58,239 --> 00:35:00,239
Speaker 1: And I'm that guy who has to physically get to

585
00:35:00,239 --> 00:35:01,600
Speaker 1: the bank and be like I'd look to cash my

586
00:35:01,640 --> 00:35:05,120
Speaker 1: ten dollar chip please. Who just who wrote on this document?

587
00:35:05,160 --> 00:35:11,360
Speaker 1: Who who put that more titillating headline up there? Krens like,

588
00:35:11,400 --> 00:35:15,960
Speaker 1: spin doctor, dude, there's an article because the study this

589
00:35:16,080 --> 00:35:20,160
Speaker 1: surprises ship out of me. Meat consumption is positively associated

590
00:35:20,160 --> 00:35:24,319
Speaker 1: with life expectancy, to which Crin's headline is vegetarianism might

591
00:35:24,440 --> 00:35:30,280
Speaker 1: shorten your lifespan. It's like, in other words, this surprised

592
00:35:30,320 --> 00:35:31,719
Speaker 1: me because all you ever do is read about all

593
00:35:31,719 --> 00:35:36,160
Speaker 1: that stuff is killing you. Even though people I know,

594
00:35:36,640 --> 00:35:38,560
Speaker 1: it's just like it gets a little complicated. People I

595
00:35:38,600 --> 00:35:40,680
Speaker 1: know who are most like the people I know who

596
00:35:40,680 --> 00:35:50,280
Speaker 1: are um like most strong, you know, like physically strong.

597
00:35:50,320 --> 00:35:51,840
Speaker 1: I mean yeah, just like people that are like do

598
00:35:51,960 --> 00:35:57,920
Speaker 1: crazy shit, eat burgers and stuff. But it's always like

599
00:35:58,080 --> 00:36:00,279
Speaker 1: they're always telling you how bad it is. A team

600
00:36:00,320 --> 00:36:04,120
Speaker 1: of scientists from Australia, Italy, Poland and Switzerland so a

601
00:36:04,160 --> 00:36:08,839
Speaker 1: good Mix examine the association between meat intake and life

602
00:36:08,880 --> 00:36:13,120
Speaker 1: expectancy at a population level. Based on ecological data published

603
00:36:13,120 --> 00:36:19,000
Speaker 1: by the United Nations Agencies, it is estimated that twenty

604
00:36:19,920 --> 00:36:23,040
Speaker 1: of human life expectancy is determined by genetic factors and

605
00:36:24,400 --> 00:36:29,800
Speaker 1: is determined by environmental factors over the last fifty years.

606
00:36:29,840 --> 00:36:33,920
Speaker 1: Although the associations between meat eating and illness are circumstantial

607
00:36:33,960 --> 00:36:37,760
Speaker 1: and controversial, to some extent, they have prompted the spread

608
00:36:37,760 --> 00:36:41,200
Speaker 1: of vegetarianism and veganism based on the exxumption that non

609
00:36:41,280 --> 00:36:50,640
Speaker 1: meat diets provide more health benefits and diets that include meat. Um,

610
00:36:50,680 --> 00:36:53,000
Speaker 1: if you do yourself favor and read Son of the

611
00:36:53,000 --> 00:36:57,879
Speaker 1: Morning Star, okay uh. He talks about what happened at

612
00:36:57,880 --> 00:37:03,680
Speaker 1: the Battle of Little Big Horn, and uh compared to

613
00:37:04,640 --> 00:37:08,920
Speaker 1: the cavalry soldiers, the euro American, like the white cavalry soldiers,

614
00:37:10,280 --> 00:37:14,359
Speaker 1: just in the diet they were on when they came

615
00:37:14,440 --> 00:37:20,440
Speaker 1: up against these people who lived off bison meat. Um,

616
00:37:20,560 --> 00:37:25,560
Speaker 1: they were astounded, like the Sue, the Agoal and Papa

617
00:37:25,560 --> 00:37:29,479
Speaker 1: Su and the Northern Cheyenne. He describes those people going

618
00:37:29,520 --> 00:37:35,160
Speaker 1: through the cavalry soldiers like a wolf through sheep. I

619
00:37:35,160 --> 00:37:38,600
Speaker 1: mean there's huge there's a fighting people. Yeah. I mean

620
00:37:38,600 --> 00:37:41,839
Speaker 1: there's a ton of information out there that you know,

621
00:37:41,920 --> 00:37:45,760
Speaker 1: various aspects of uh, you know, a balanced quote unquote

622
00:37:45,760 --> 00:37:48,160
Speaker 1: diet like grains for example, like that they have huge

623
00:37:48,440 --> 00:37:51,360
Speaker 1: health related issues. So it's like all of these arguments,

624
00:37:51,400 --> 00:37:54,000
Speaker 1: there's a counter argument for every single one of them,

625
00:37:54,040 --> 00:37:56,160
Speaker 1: and some scientists has signed his name to the bottom

626
00:37:56,160 --> 00:38:01,480
Speaker 1: of it. So Yanni might Yanni goes to my doctor, doctor.

627
00:38:02,920 --> 00:38:05,040
Speaker 1: I appreciate everybody in our company's gonna go the same doctor.

628
00:38:05,400 --> 00:38:09,840
Speaker 1: It's gonna be people. She took. Tell tell everybody what

629
00:38:09,880 --> 00:38:14,680
Speaker 1: she told you. Yanni, you just overall everything. Oh just

630
00:38:15,000 --> 00:38:18,880
Speaker 1: yeah that you know for forty year old, uh four

631
00:38:19,000 --> 00:38:22,400
Speaker 1: year old white dud, a banner of health. So yeah,

632
00:38:23,040 --> 00:38:26,680
Speaker 1: I saw Yanni eating eating uh liver, patte and bread.

633
00:38:26,880 --> 00:38:30,800
Speaker 1: But he like laid down a very generous layer of butter.

634
00:38:31,719 --> 00:38:37,399
Speaker 1: Yeah below primate. And he said, hey, man, I got

635
00:38:37,400 --> 00:38:40,520
Speaker 1: it straight from the high end doctor. You're a doctor,

636
00:38:40,880 --> 00:38:42,839
Speaker 1: my doctor that I can just do what I'm doing

637
00:38:43,360 --> 00:38:49,520
Speaker 1: because I'm kicking he uh. It goes on to say. Moreover,

638
00:38:49,600 --> 00:38:52,880
Speaker 1: it has been argued that vegetarianism and veganism form a

639
00:38:53,000 --> 00:38:57,400
Speaker 1: part of trendy Western consumers lifestyles only accessible to privileged

640
00:38:57,400 --> 00:39:01,640
Speaker 1: white people. Vegetarian has been prevalent in Western countries has

641
00:39:01,640 --> 00:39:04,600
Speaker 1: been subject to prejudice, low self what's this all now?

642
00:39:05,440 --> 00:39:10,439
Speaker 1: Vegetarian is that has been prevalent in Western countries has

643
00:39:10,480 --> 00:39:16,560
Speaker 1: been subject to prejudice, low self esteem, and low psychological adjustment.

644
00:39:16,760 --> 00:39:19,560
Speaker 1: I have no idea. I think we just needed I

645
00:39:19,600 --> 00:39:21,759
Speaker 1: got tripped up on that one too, but I do

646
00:39:21,920 --> 00:39:25,360
Speaker 1: think the next paragraph is worth saying that I got

647
00:39:25,640 --> 00:39:29,000
Speaker 1: a lot of the studies that have been done that

648
00:39:29,440 --> 00:39:34,319
Speaker 1: come out with the results that vegetarians, vegetarian lifestyle and

649
00:39:34,360 --> 00:39:39,040
Speaker 1: diet is good for you, that they um, there's a

650
00:39:39,120 --> 00:39:43,080
Speaker 1: lack of population representativeness and a failure to remove the

651
00:39:43,120 --> 00:39:45,440
Speaker 1: influence of lifestyle in these studies. It's like when you

652
00:39:45,480 --> 00:39:47,840
Speaker 1: see a statistic. I've ever seen a statistic that pet

653
00:39:47,880 --> 00:39:52,359
Speaker 1: ownership makes you live longer, and I'd be like, well,

654
00:39:52,440 --> 00:39:57,200
Speaker 1: pet ownership is associated with with being stationary and financially

655
00:39:57,200 --> 00:40:00,680
Speaker 1: well off. That's like my click baby title. I'm like,

656
00:40:01,040 --> 00:40:05,319
Speaker 1: exactly what was against in terms of science journalists, Yeah,

657
00:40:05,320 --> 00:40:10,279
Speaker 1: it's a great title. It's like, uh, mansions are associated

658
00:40:10,320 --> 00:40:16,600
Speaker 1: with long life. You know, these guys examine the overall

659
00:40:16,680 --> 00:40:20,040
Speaker 1: health effects of of total me consumption in a hundred

660
00:40:20,040 --> 00:40:24,319
Speaker 1: and seventy five countries. They did their they did their work. Yeah,

661
00:40:24,360 --> 00:40:27,839
Speaker 1: that that's a that's pretty exhaustive. And I think that

662
00:40:27,880 --> 00:40:31,040
Speaker 1: comments about that gets around the socioeconomic thing like if

663
00:40:31,040 --> 00:40:32,920
Speaker 1: you're in a lot of meat, you probably have you

664
00:40:33,000 --> 00:40:36,879
Speaker 1: probably have expendable income, and you probably seek healthcare or yeah,

665
00:40:36,920 --> 00:40:40,440
Speaker 1: you're more likely to have money for healthcare. Yeah, theoretically,

666
00:40:40,440 --> 00:40:42,399
Speaker 1: but by that same token, what they're saying, is that

667
00:40:43,000 --> 00:40:45,880
Speaker 1: in sort of Western society, especially if you consider the

668
00:40:45,960 --> 00:40:50,160
Speaker 1: United States, like like a vegetarian diet can be very

669
00:40:50,200 --> 00:40:53,320
Speaker 1: cost prohibitive because like the vegans, because that's what I

670
00:40:53,360 --> 00:40:55,440
Speaker 1: mean like that, and so I get the whole like

671
00:40:55,480 --> 00:40:57,200
Speaker 1: low self esteem, all that kind of stuff. I think

672
00:40:57,200 --> 00:41:00,680
Speaker 1: they're just making social commentary on the idea that it comes.

673
00:41:00,719 --> 00:41:04,480
Speaker 1: It's just another form of elitism that that people want

674
00:41:04,520 --> 00:41:06,120
Speaker 1: to try to do it, but then it escapes them

675
00:41:06,160 --> 00:41:08,080
Speaker 1: because they don't quite have the right They don't live

676
00:41:08,120 --> 00:41:09,560
Speaker 1: in the right town, they don't have enough money, they

677
00:41:09,560 --> 00:41:12,480
Speaker 1: can't shop at the grocery store that the you know

678
00:41:12,640 --> 00:41:15,120
Speaker 1: that's banging that drum like they can't because then it

679
00:41:15,160 --> 00:41:17,000
Speaker 1: just drives people to all the other stuff, like I

680
00:41:17,040 --> 00:41:19,759
Speaker 1: can't I can't just see regular spinach. I gotta buy

681
00:41:19,800 --> 00:41:22,440
Speaker 1: this spinach instead, Like I just I think it's a

682
00:41:22,480 --> 00:41:25,200
Speaker 1: slippery slope. It's kind of a big broadbrush stroke to

683
00:41:25,239 --> 00:41:30,359
Speaker 1: say that, But I also understand that in our current society,

684
00:41:31,840 --> 00:41:36,960
Speaker 1: advocating for vegetarianism also comes with a pretty like loud um.

685
00:41:37,000 --> 00:41:39,200
Speaker 1: You know, what's what's the term that they use, like

686
00:41:39,400 --> 00:41:42,360
Speaker 1: um that you're basically patting yourself on the back for

687
00:41:42,440 --> 00:41:46,000
Speaker 1: it too, you know, and condemning everything else. Yeah, not

688
00:41:46,080 --> 00:41:47,880
Speaker 1: to get too far into the weeds, but that's always

689
00:41:47,920 --> 00:41:50,320
Speaker 1: been one of the things I like to talk about

690
00:41:50,320 --> 00:41:55,040
Speaker 1: and bring up when when people are against, you know,

691
00:41:55,239 --> 00:41:57,719
Speaker 1: everyone using meat as their source of protein, it's like, well,

692
00:41:57,800 --> 00:42:01,120
Speaker 1: some places that's their only course of protein, right, Like

693
00:42:01,160 --> 00:42:04,360
Speaker 1: they don't have access to you know, most of the world,

694
00:42:04,520 --> 00:42:07,200
Speaker 1: well most of the world needs go right, Like they

695
00:42:07,239 --> 00:42:10,959
Speaker 1: don't have access to There's there's a lot of misconceptions

696
00:42:11,000 --> 00:42:13,520
Speaker 1: about the idea that we can just convert range land

697
00:42:13,560 --> 00:42:15,399
Speaker 1: into farm land, you know, Like that's a whole other

698
00:42:15,480 --> 00:42:18,120
Speaker 1: conversation that everybody thinks, like why don't we just plant

699
00:42:18,200 --> 00:42:21,560
Speaker 1: vegetables there instead of cattle? Like you can't plant anything there,

700
00:42:21,560 --> 00:42:23,640
Speaker 1: it's just a bunch of fucking rocks. Like the only

701
00:42:23,640 --> 00:42:25,680
Speaker 1: thing that can be there cattle like that, When they

702
00:42:25,680 --> 00:42:28,640
Speaker 1: point out the inefficiencies of live stuff, it's like it's

703
00:42:28,640 --> 00:42:31,360
Speaker 1: just it's I don't know, it's a wasted argument, and

704
00:42:31,400 --> 00:42:34,480
Speaker 1: I think it's unfortunately now instead of it being an

705
00:42:34,520 --> 00:42:37,360
Speaker 1: argument that's based purely on, you know, what's best for

706
00:42:37,400 --> 00:42:40,520
Speaker 1: the environment or what's best for you health wise, now

707
00:42:40,560 --> 00:42:43,920
Speaker 1: we've all like treaded into this world of what's best

708
00:42:43,960 --> 00:42:48,320
Speaker 1: for your ability to sort of um commend yourself for

709
00:42:48,440 --> 00:42:51,440
Speaker 1: doing the right thing all the time, like well, And

710
00:42:51,480 --> 00:42:53,600
Speaker 1: I think it's also important to note that it's like,

711
00:42:54,040 --> 00:42:55,759
Speaker 1: I don't think this study saying, you know, like these

712
00:42:55,760 --> 00:42:58,600
Speaker 1: folks aren't eating. They're not eating sausage for breakfast, a

713
00:42:58,600 --> 00:43:01,920
Speaker 1: hamburger for launch ake for dinner. You know. I think

714
00:43:02,000 --> 00:43:05,680
Speaker 1: like optimal health is like an omnivore kind of way

715
00:43:05,680 --> 00:43:09,920
Speaker 1: of eating. It's like eating balanced and eating like intelligently

716
00:43:10,520 --> 00:43:13,080
Speaker 1: eating like what you have available. Like you said, some

717
00:43:13,120 --> 00:43:15,719
Speaker 1: people eat goat, some people eat whatever they have. I

718
00:43:15,760 --> 00:43:19,040
Speaker 1: think a lot of media is like feeding you this

719
00:43:19,120 --> 00:43:21,680
Speaker 1: idea that like you're a good person if you're a vegan,

720
00:43:22,480 --> 00:43:24,960
Speaker 1: and if you eat, you're a bad person. And I

721
00:43:25,000 --> 00:43:27,959
Speaker 1: think it's important to have studies like this that are like, hey,

722
00:43:28,200 --> 00:43:31,560
Speaker 1: you know, eating meat is healthy, Like having a diverse

723
00:43:32,120 --> 00:43:35,239
Speaker 1: like plate is healthy. And I think I think that's

724
00:43:35,280 --> 00:43:38,960
Speaker 1: kind of like a big takeaway is that like eating

725
00:43:39,360 --> 00:43:42,000
Speaker 1: vegan is not gonna Eating vegetarian is not going to

726
00:43:42,080 --> 00:43:46,200
Speaker 1: prolong your life anymore than than eating meat. You remember

727
00:43:46,200 --> 00:43:49,279
Speaker 1: that guy we had on the claim that the only thing.

728
00:43:49,320 --> 00:43:54,799
Speaker 1: He ate meat. I wonder it is like nose head

729
00:43:54,840 --> 00:43:57,920
Speaker 1: to what is it head to tail? No? Yeah, like

730
00:43:58,160 --> 00:44:01,800
Speaker 1: ate like ligaments. And he says that he doesn't need anything,

731
00:44:01,840 --> 00:44:10,080
Speaker 1: but was itish fish value happiness? I love fried meat.

732
00:44:10,520 --> 00:44:12,719
Speaker 1: That was his claim. He said, right where you're sitting

733
00:44:12,760 --> 00:44:15,239
Speaker 1: right now, untild and laid out the claim anyway, And

734
00:44:15,320 --> 00:44:19,279
Speaker 1: he was going on Instagram. He was pointing out that, uh,

735
00:44:19,320 --> 00:44:22,000
Speaker 1: when they see these things like the consumption of meat

736
00:44:22,000 --> 00:44:25,120
Speaker 1: being associated with all this and that heart disease and

737
00:44:25,160 --> 00:44:27,880
Speaker 1: all that, he's like, well, that's not the meats fault.

738
00:44:27,880 --> 00:44:30,520
Speaker 1: It's like how you go about it. Yeah, are you

739
00:44:30,560 --> 00:44:36,120
Speaker 1: going to McDonald's right getting like the like triple cheeseburger,

740
00:44:36,680 --> 00:44:40,399
Speaker 1: large fry and a milkshake. So then when someone comes

741
00:44:40,400 --> 00:44:42,640
Speaker 1: and looks at the fact that like how often you're

742
00:44:42,719 --> 00:44:45,120
Speaker 1: eating that diet and then they find those things, it's

743
00:44:45,120 --> 00:44:49,319
Speaker 1: not untangling they're not. He pointed to number studies said

744
00:44:49,360 --> 00:44:52,600
Speaker 1: it doesn't do a good job of untangling all these

745
00:44:52,600 --> 00:44:58,320
Speaker 1: other like lifestyle choices and ancillary dietary choices by people

746
00:44:58,320 --> 00:45:00,600
Speaker 1: who are eating meat with high frequency eat meaning like

747
00:45:00,640 --> 00:45:09,280
Speaker 1: the breakfast sausage, burger, steak, fries, cream, spinach, crowd um,

748
00:45:09,320 --> 00:45:11,800
Speaker 1: and that if you were just eating like boiled squirrel,

749
00:45:12,920 --> 00:45:15,400
Speaker 1: you might not have the same right, Well, I mean

750
00:45:15,400 --> 00:45:18,040
Speaker 1: that's yeah exactly. It's like not all meat is created equal,

751
00:45:18,120 --> 00:45:22,480
Speaker 1: like nutritionally speaking, like the various species are completely different.

752
00:45:22,480 --> 00:45:26,200
Speaker 1: And even then when you get to the difference between um,

753
00:45:26,239 --> 00:45:31,960
Speaker 1: just kind of modern practices of raising animals from meat consumption. Nutritionally,

754
00:45:31,960 --> 00:45:34,799
Speaker 1: they're very different today than they were even fifty six

755
00:45:34,960 --> 00:45:39,240
Speaker 1: seventy years ago because of consumer demand for particular texture,

756
00:45:39,280 --> 00:45:42,160
Speaker 1: particular flavor, particular tenderness, all these kind of things, and

757
00:45:42,200 --> 00:45:45,600
Speaker 1: what goes along with that is an adjusted sort of

758
00:45:46,280 --> 00:45:49,320
Speaker 1: nutritional value, you know, some some positively and some negatively

759
00:45:49,800 --> 00:45:57,320
Speaker 1: speaking of fast food. Uh, Max Hm, Shawn's tight tight colleague.

760
00:45:58,600 --> 00:46:01,279
Speaker 1: He the other day it was eating um. He was

761
00:46:01,320 --> 00:46:06,839
Speaker 1: taking his wild turkey tenders and making an exact replica. Oh,

762
00:46:07,120 --> 00:46:08,799
Speaker 1: what's that restaurant you He went to that one time

763
00:46:08,840 --> 00:46:13,640
Speaker 1: for the first time, the famous chicken place, Chick fil A.

764
00:46:14,600 --> 00:46:17,000
Speaker 1: He made. He makes an exact Chick fil A replica.

765
00:46:18,120 --> 00:46:20,279
Speaker 1: They probably brine it and went like pickle juice or

766
00:46:20,440 --> 00:46:27,600
Speaker 1: crack or something. Time. Yeah, yeah, he does, he makes.

767
00:46:27,880 --> 00:46:30,600
Speaker 1: But he had he had his own bottle, and he

768
00:46:30,719 --> 00:46:32,799
Speaker 1: like somehow came into a bottle of Chick fil A,

769
00:46:33,000 --> 00:46:36,640
Speaker 1: like signature Chick fil A sauce everything else he's making himself.

770
00:46:36,960 --> 00:46:38,640
Speaker 1: And then he dumped the Chick fil A s I

771
00:46:38,640 --> 00:46:40,719
Speaker 1: watched meat two him. The some bitch never even said

772
00:46:40,719 --> 00:46:43,840
Speaker 1: something like, hey, you want to bite? I was to me,

773
00:46:44,000 --> 00:46:48,839
Speaker 1: to Megan, and the whole time he's eating I'm asking

774
00:46:48,880 --> 00:46:53,439
Speaker 1: him a questions about it and stuff finished him, licked

775
00:46:53,480 --> 00:46:59,000
Speaker 1: his fingers, fingers back upstairs, read the office lunch room area,

776
00:47:00,120 --> 00:47:04,200
Speaker 1: out the room and give you the middle fingers, sumptuously

777
00:47:04,280 --> 00:47:07,120
Speaker 1: licked his middle finger and walked away. Yeah, but that's

778
00:47:07,160 --> 00:47:10,680
Speaker 1: because he looked at your like socio economic place in

779
00:47:10,760 --> 00:47:16,440
Speaker 1: the world, and he thought, he's like, I know what

780
00:47:16,560 --> 00:47:20,520
Speaker 1: that dude's freezer looks like there's fifteen species in there.

781
00:47:31,360 --> 00:47:34,160
Speaker 1: We need to We're gonna buy the what is it, actually,

782
00:47:34,200 --> 00:47:38,040
Speaker 1: Warner Bruntler. What is it Warner Brattler, Yeah, Warner bratt

783
00:47:38,280 --> 00:47:40,080
Speaker 1: We're gonna buy a Warner bro If so, if you

784
00:47:40,120 --> 00:47:42,239
Speaker 1: work at the place that makes the Warner Bratler Sheer

785
00:47:42,239 --> 00:47:45,400
Speaker 1: Force test, this is a wonderful integration marketing opportunity for you.

786
00:47:45,680 --> 00:47:47,680
Speaker 1: If not, we're gonna buy our own. We're gonna buy

787
00:47:47,680 --> 00:47:50,040
Speaker 1: our own sheer Force tests, and we'll start right here.

788
00:47:50,040 --> 00:47:55,520
Speaker 1: We'll just start testing everything. Start with this table. I'm

789
00:47:55,560 --> 00:47:58,200
Speaker 1: starting with a marshmallow. Yeah, there you go. Just to calibrate.

790
00:47:58,239 --> 00:48:00,239
Speaker 1: I'm gonna do a marshmallow. Then we're gonna do hunk

791
00:48:00,239 --> 00:48:03,319
Speaker 1: of adad shoulder, and then we'll explore every game meat

792
00:48:03,360 --> 00:48:05,640
Speaker 1: in between. Yeah, that's a pretty wide gamut, I would

793
00:48:05,640 --> 00:48:08,239
Speaker 1: say between the two of this. Dude, I can't all right,

794
00:48:08,400 --> 00:48:09,640
Speaker 1: I don't know if I don't know if you did

795
00:48:09,640 --> 00:48:12,200
Speaker 1: the marshmallow, the electric griddle is just gonna melt the marshmallow. No,

796
00:48:12,360 --> 00:48:14,200
Speaker 1: just punch it without cooking it, Okay, I got you.

797
00:48:14,480 --> 00:48:17,399
Speaker 1: Just for uniformity when they do it. Yeah, they put

798
00:48:17,440 --> 00:48:19,520
Speaker 1: like these they put like a digital thermometer in a

799
00:48:19,520 --> 00:48:22,160
Speaker 1: piece of meat. They don't season or anything, and you

800
00:48:22,200 --> 00:48:24,720
Speaker 1: cook the piece of meat to like whatever you're testing,

801
00:48:24,760 --> 00:48:27,120
Speaker 1: so you get all the one thirty whatever the hell.

802
00:48:27,560 --> 00:48:28,840
Speaker 1: Just just make up your mind what you want it

803
00:48:28,880 --> 00:48:32,279
Speaker 1: to be, and then punch it. We can punch raw too,

804
00:48:32,600 --> 00:48:36,000
Speaker 1: we should punch cooked, punch cut completely. But the marshmallow

805
00:48:36,040 --> 00:48:37,960
Speaker 1: just to be like for instance, everybody knows what the

806
00:48:38,040 --> 00:48:40,480
Speaker 1: marshmallows like, and we'll hit it with the machine and

807
00:48:40,520 --> 00:48:43,920
Speaker 1: it'll get like a five, probably probably a one. Get

808
00:48:43,920 --> 00:48:45,880
Speaker 1: a one, like okay, there's a one. And then we'll

809
00:48:45,920 --> 00:48:48,759
Speaker 1: do like your hand, we'll do cheat loaf bread that's

810
00:48:48,760 --> 00:48:53,000
Speaker 1: even more tender than a marshmallow, like white bread. A

811
00:48:53,000 --> 00:48:55,080
Speaker 1: little chunk out of the fatty A little chunk out

812
00:48:55,080 --> 00:48:57,880
Speaker 1: of the fatty part of your hand, for instance, within

813
00:48:58,160 --> 00:49:02,759
Speaker 1: within meat right within, eat the white tailed dope backstrap. Yeah,

814
00:49:02,840 --> 00:49:06,160
Speaker 1: most likely everybody will agree that, yes, this is tender. Also,

815
00:49:06,200 --> 00:49:09,040
Speaker 1: we gotta get it to a uniform thickness. Can can

816
00:49:09,080 --> 00:49:11,560
Speaker 1: you make sure it's got a user's manual when I've

817
00:49:11,560 --> 00:49:16,040
Speaker 1: got it like an owners right here? This is right,

818
00:49:16,120 --> 00:49:21,040
Speaker 1: This is like right in my wheelhouse, like maybe in Manhattan, Kansas. Contact.

819
00:49:21,600 --> 00:49:24,680
Speaker 1: I believe everything I hear out of cans. Alright, alright,

820
00:49:24,680 --> 00:49:26,640
Speaker 1: so we'll get that take it. You'll hear more. You'll

821
00:49:26,640 --> 00:49:28,399
Speaker 1: hear more about this test, because this is gonna be

822
00:49:28,480 --> 00:49:31,440
Speaker 1: this is gonna be a return. Oh uh, get some

823
00:49:31,520 --> 00:49:40,360
Speaker 1: lab coats. Yeah, yeah, we probably need badges too. That

824
00:49:40,400 --> 00:49:43,920
Speaker 1: way we look, you know, like we're serious. Yeah, can

825
00:49:43,960 --> 00:49:46,800
Speaker 1: we can? We just can we go with some salt

826
00:49:46,800 --> 00:49:48,680
Speaker 1: and pepper so that we can eat it after you

827
00:49:48,680 --> 00:49:53,279
Speaker 1: get some salt and pepper too. We gotta be yeah,

828
00:49:53,320 --> 00:49:55,040
Speaker 1: we gotta be careful with the salt and pepper because

829
00:49:55,040 --> 00:49:59,560
Speaker 1: it will adjust the tenderness. Well, season, we'll season well season,

830
00:49:59,600 --> 00:50:04,520
Speaker 1: We'll tell Okay, you test slice season just a little, yes,

831
00:50:04,880 --> 00:50:07,239
Speaker 1: all that. The main thing is the test. Though, this

832
00:50:07,280 --> 00:50:11,120
Speaker 1: is getting serious. No, I got the guys need a

833
00:50:11,200 --> 00:50:13,960
Speaker 1: really good digital scale because we want to have each

834
00:50:14,000 --> 00:50:16,240
Speaker 1: of these pieces scaled to the same size and already

835
00:50:16,239 --> 00:50:19,240
Speaker 1: have a good well no, it's you got a caliber,

836
00:50:19,280 --> 00:50:22,840
Speaker 1: but I have a good caliber. I got a digital caliber.

837
00:50:23,600 --> 00:50:25,000
Speaker 1: We can even do it metrics and then it will

838
00:50:25,000 --> 00:50:27,440
Speaker 1: seem like really serious. Yeah, well, of course it's science,

839
00:50:27,480 --> 00:50:34,000
Speaker 1: you know, like you know, yeah, away, I always like like,

840
00:50:34,040 --> 00:50:38,120
Speaker 1: I'm like I'll buy that, Like I don't know two miles.

841
00:50:38,160 --> 00:50:42,920
Speaker 1: I'm like, Okay, I'm like, damn, some buch Merry measured

842
00:50:42,960 --> 00:50:47,239
Speaker 1: it in preparation from my home to Latvia. I'm now

843
00:50:47,280 --> 00:50:53,239
Speaker 1: shooting all my critters in meters. Hey, speaking of me,

844
00:50:53,360 --> 00:50:56,000
Speaker 1: can I give Kevin my meat so we can get

845
00:50:56,000 --> 00:50:59,680
Speaker 1: this cooler off the table. Let's let's try. Let's try

846
00:51:00,120 --> 00:51:07,000
Speaker 1: but with a different lead in perfect you perfectly right there.

847
00:51:07,560 --> 00:51:14,320
Speaker 1: I like it. So that's a yeah, what's in the cooler?

848
00:51:15,000 --> 00:51:18,200
Speaker 1: A little something for Kevin secret? I can't tell you.

849
00:51:18,480 --> 00:51:20,800
Speaker 1: It's actually to a wild turkey Chick fil A Sandwiches.

850
00:51:23,320 --> 00:51:28,000
Speaker 1: There is wild turkey, Maggie Smith asked me to. She

851
00:51:28,160 --> 00:51:32,720
Speaker 1: reached out on email. So Kevin needs a wild turkey breast,

852
00:51:33,960 --> 00:51:36,680
Speaker 1: and man, I gotta say I hesitated when I saw that.

853
00:51:36,680 --> 00:51:41,200
Speaker 1: That's everybody there, but that's my favorite. So you understand

854
00:51:41,239 --> 00:51:43,279
Speaker 1: what a big ask that is. I can return it,

855
00:51:43,520 --> 00:51:46,520
Speaker 1: just I need like another month, Like our season isn't

856
00:51:46,560 --> 00:51:48,479
Speaker 1: open yet, we don't have a spring and fall season.

857
00:51:48,520 --> 00:51:50,319
Speaker 1: We just don't need to return it. You're just you're

858
00:51:50,400 --> 00:51:53,960
Speaker 1: lucky that not only I a good turkey hunter, but

859
00:51:54,000 --> 00:51:56,759
Speaker 1: my wife is getting to be pretty good too, And

860
00:51:56,840 --> 00:51:59,839
Speaker 1: so we've got like we're stat were we always get

861
00:51:59,840 --> 00:52:02,560
Speaker 1: really close to double digits in in the freezer, and

862
00:52:02,920 --> 00:52:04,680
Speaker 1: there was enough sitting in there where I felt like

863
00:52:04,719 --> 00:52:06,920
Speaker 1: I could, you know, I want to hear at a

864
00:52:06,920 --> 00:52:09,080
Speaker 1: different time. I want to hear more about the experiment

865
00:52:09,120 --> 00:52:11,439
Speaker 1: of whether raising these turkeys has made you a better

866
00:52:11,440 --> 00:52:16,919
Speaker 1: turkey hunter. Like we talked about dude, everybody in the house,

867
00:52:17,360 --> 00:52:19,560
Speaker 1: everybody at my house right now, I could call it

868
00:52:19,560 --> 00:52:26,640
Speaker 1: turkey turkey, I mean, because those are galable, because I

869
00:52:26,680 --> 00:52:31,080
Speaker 1: haven't gotten to that yet, because the major pitfall with

870
00:52:31,200 --> 00:52:33,640
Speaker 1: having birds around the house is that if you let

871
00:52:33,680 --> 00:52:37,239
Speaker 1: them run around, there's a bird, whether it's chickens or

872
00:52:37,360 --> 00:52:41,160
Speaker 1: turkey ship everywhere, and the turkeys are much more. It's

873
00:52:41,160 --> 00:52:44,680
Speaker 1: an insidious dropping too. Yeah, like you don't know it's there,

874
00:52:44,840 --> 00:52:47,400
Speaker 1: but yeah, and you think that just like, oh, you

875
00:52:47,440 --> 00:52:49,600
Speaker 1: just take the hose to it, but it doesn't just

876
00:52:49,680 --> 00:52:51,759
Speaker 1: like disappear at the hose. It always leaves like a

877
00:52:51,800 --> 00:52:54,400
Speaker 1: little mark and you gotta deck brush it, you know.

878
00:52:55,200 --> 00:52:57,239
Speaker 1: So they've been kind of locked up. But even then,

879
00:52:57,520 --> 00:52:59,480
Speaker 1: when you walk out of our house, they're right there

880
00:52:59,480 --> 00:53:02,120
Speaker 1: looking at forty yards away. And every time you walk

881
00:53:02,160 --> 00:53:04,840
Speaker 1: out there like and so what do you do? You

882
00:53:04,880 --> 00:53:09,040
Speaker 1: go right back at him, and it's like everybody does

883
00:53:09,040 --> 00:53:11,359
Speaker 1: it without even thinking about it. My kids walk out

884
00:53:11,400 --> 00:53:15,839
Speaker 1: the door, the turkeys go and they're like, I haven't

885
00:53:15,840 --> 00:53:17,719
Speaker 1: called my wife, dude it this morning. I'm in the

886
00:53:17,719 --> 00:53:19,640
Speaker 1: house like getting ready to the kids out, and she

887
00:53:19,760 --> 00:53:21,680
Speaker 1: ran out to do something. I can hear out there.

888
00:53:24,280 --> 00:53:28,120
Speaker 1: So yes, I think it's even though we haven't like

889
00:53:28,280 --> 00:53:30,960
Speaker 1: actually played with calls and the turkeys yet and like

890
00:53:31,000 --> 00:53:32,960
Speaker 1: trying to call him across the yard or anything. I

891
00:53:33,000 --> 00:53:39,719
Speaker 1: feel that people are listening to cadence tempo, pitch um,

892
00:53:39,760 --> 00:53:43,440
Speaker 1: you know, number of notes that they're doing, so it's helping.

893
00:53:43,560 --> 00:53:46,280
Speaker 1: We had an episode long ago. I think the episode

894
00:53:46,280 --> 00:53:50,200
Speaker 1: was called The Bronze Back and the Whiffleball Bat, and

895
00:53:50,239 --> 00:53:54,120
Speaker 1: it was about this guy, guys U Buddy bars Um.

896
00:53:54,200 --> 00:53:55,880
Speaker 1: He grew up with turkeys and he used to be

897
00:53:55,880 --> 00:53:58,440
Speaker 1: a competition turkey caller. Natural what they call it, like

898
00:53:58,480 --> 00:54:01,359
Speaker 1: no call right natural boys? Boy? Oh yeah, just voice calling. Yeah.

899
00:54:01,680 --> 00:54:04,040
Speaker 1: When he was a kid, he had turkeys and he

900
00:54:04,080 --> 00:54:09,359
Speaker 1: would hide with that whiffleball bat. We wait, Well, that

901
00:54:09,440 --> 00:54:13,080
Speaker 1: came about because the tom, that tom became too easy

902
00:54:13,120 --> 00:54:16,640
Speaker 1: to call in, so he would Yeah, so he would

903
00:54:16,719 --> 00:54:18,439
Speaker 1: call that time in and hit it with a bat

904
00:54:20,800 --> 00:54:24,200
Speaker 1: would become so the time would become like less likely

905
00:54:24,239 --> 00:54:26,759
Speaker 1: to want to come in, and so he was he

906
00:54:26,880 --> 00:54:31,799
Speaker 1: was like making like a high pressure tom. This guy

907
00:54:31,840 --> 00:54:36,759
Speaker 1: is a good calling dude. This dude out sircule hunt

908
00:54:36,760 --> 00:54:38,759
Speaker 1: with him one time. Man, we get up on this.

909
00:54:38,800 --> 00:54:41,800
Speaker 1: We're in this danse like like just you know, oak

910
00:54:41,920 --> 00:54:45,040
Speaker 1: forest and it's real sandy soil. And we get up

911
00:54:45,040 --> 00:54:47,480
Speaker 1: on his high spot in the middle of the day,

912
00:54:47,680 --> 00:54:53,400
Speaker 1: right and he gets up there and sets to calling

913
00:54:53,719 --> 00:54:58,040
Speaker 1: just soft you know, and um, nothing, nothing, nothing, but

914
00:54:58,120 --> 00:55:01,479
Speaker 1: that dude just knew, like he knew that he would

915
00:55:01,480 --> 00:55:05,440
Speaker 1: get an answer, and he eventually just like squeezed it

916
00:55:05,520 --> 00:55:07,879
Speaker 1: out of a turkey. He went to add it way

917
00:55:07,960 --> 00:55:10,280
Speaker 1: longer than if you're just doing like a sound check.

918
00:55:12,120 --> 00:55:14,279
Speaker 1: He's so kind, he's like, he's like, you know, just

919
00:55:14,280 --> 00:55:15,920
Speaker 1: give me a minute or whatever. I don't know. Six

920
00:55:16,000 --> 00:55:17,960
Speaker 1: seven minutes into it, you can hear some turkeys. This

921
00:55:18,160 --> 00:55:19,480
Speaker 1: turkey out was like, I'm not gonna do it. I'm

922
00:55:19,520 --> 00:55:21,880
Speaker 1: not gonna answer. I'm not gonna answer. I'm not gonna answer.

923
00:55:22,000 --> 00:55:25,120
Speaker 1: I'm not gonna answer. I like, but you just couldn't

924
00:55:25,160 --> 00:55:29,319
Speaker 1: hold it in. Man, that's great guy. Hey, do you

925
00:55:29,440 --> 00:55:32,239
Speaker 1: already have plans for that turkey breast? We do, Yeah,

926
00:55:32,520 --> 00:55:34,799
Speaker 1: we're gonna do well. So we had we were gonna

927
00:55:34,840 --> 00:55:37,239
Speaker 1: do two different dishes with it, but we're gonna see

928
00:55:37,239 --> 00:55:40,200
Speaker 1: if we have enough. So one is called a gone Schnitzel,

929
00:55:40,320 --> 00:55:44,279
Speaker 1: like it's a German dish. And then the other is

930
00:55:44,920 --> 00:55:49,240
Speaker 1: because Maggie Um, not Maggie Hudlo, Maggie Smith is filming

931
00:55:49,280 --> 00:55:52,120
Speaker 1: these Marge March. Yeah, Marge, and I wanted to kind

932
00:55:52,120 --> 00:55:54,400
Speaker 1: of give her a Midwestern tribute. So we're doing turkey

933
00:55:54,440 --> 00:55:59,919
Speaker 1: tetrazini like the old school mom dish. Nice. It's gonna

934
00:55:59,920 --> 00:56:02,520
Speaker 1: be good, just done a little bit better. I like it,

935
00:56:02,560 --> 00:56:04,759
Speaker 1: and that will be on an upcoming episode. So this

936
00:56:04,800 --> 00:56:06,480
Speaker 1: one isn't for me to cooks. It's just sort of

937
00:56:06,520 --> 00:56:08,760
Speaker 1: our you know, we do these like standing store videos.

938
00:56:09,080 --> 00:56:13,360
Speaker 1: Mostly it started with just trying to help people decipher recipes.

939
00:56:13,400 --> 00:56:15,320
Speaker 1: Like you you quickly learned that people can read a

940
00:56:15,360 --> 00:56:19,520
Speaker 1: recipe all day long, but still not quite digested. And

941
00:56:19,560 --> 00:56:22,520
Speaker 1: so even just a short video five minutes or less

942
00:56:22,520 --> 00:56:24,399
Speaker 1: that kind of goes over some of the points that

943
00:56:24,440 --> 00:56:27,120
Speaker 1: maybe you're foggy for. People like changes their success rate.

944
00:56:27,320 --> 00:56:32,400
Speaker 1: And so what I've learned over the years is that people, um,

945
00:56:32,480 --> 00:56:35,040
Speaker 1: if you make them more successful with the recipes that

946
00:56:35,040 --> 00:56:37,440
Speaker 1: you're providing them, then they kind of we'll they'll come

947
00:56:37,480 --> 00:56:38,839
Speaker 1: back a lot more, but they'll come back and look

948
00:56:38,880 --> 00:56:41,919
Speaker 1: for other stuff. And so we've kind of exhausted our

949
00:56:42,040 --> 00:56:44,200
Speaker 1: like top twenty five recipe lists. So now these are

950
00:56:44,239 --> 00:56:46,640
Speaker 1: all brand new recipes and we're just you know, filming

951
00:56:46,640 --> 00:56:48,360
Speaker 1: them for the for the sake of filming them. So

952
00:56:48,400 --> 00:56:50,680
Speaker 1: we're gonna make sure everybody how to make a holiday

953
00:56:50,719 --> 00:56:54,440
Speaker 1: ham out of Ferrell hog. Um, we're gonna do this

954
00:56:54,440 --> 00:56:57,120
Speaker 1: this either the Schnitzel or the tetrazine. Let's back up,

955
00:56:57,200 --> 00:57:00,360
Speaker 1: that holiday ham out of Ferrell hog. Yeah. So like

956
00:57:00,480 --> 00:57:02,960
Speaker 1: not like three three inches of fat on that thumb, bitch,

957
00:57:02,960 --> 00:57:06,080
Speaker 1: but like a fair completely like almost completely fat free.

958
00:57:06,200 --> 00:57:09,399
Speaker 1: And you're doing like a wet Brian or dry wet Brian. Yep, yep,

959
00:57:09,680 --> 00:57:11,719
Speaker 1: like a ten day wet Brian. It's what we use

960
00:57:11,760 --> 00:57:14,520
Speaker 1: in my restaurants like to make them. Um, they come

961
00:57:14,560 --> 00:57:17,600
Speaker 1: out awesome, man, They're really good every holidays. Yeah, not

962
00:57:17,640 --> 00:57:20,000
Speaker 1: like a dry ham. No no, no, Like, um, you

963
00:57:20,040 --> 00:57:22,360
Speaker 1: know where I'm from, Like there's the we call it

964
00:57:22,440 --> 00:57:24,960
Speaker 1: city ham. I don't I don't know why that's the case,

965
00:57:25,040 --> 00:57:28,680
Speaker 1: but the difference between country ham and sy ham. Um,

966
00:57:28,760 --> 00:57:31,280
Speaker 1: so city ham, you know, like honey baked ham. Honestly,

967
00:57:31,280 --> 00:57:37,560
Speaker 1: Like that's a yeah, yeah, it's from from some pigs

968
00:57:37,560 --> 00:57:39,560
Speaker 1: that I killed last week or the week before. So

969
00:57:39,880 --> 00:57:41,440
Speaker 1: I had my wife shipped them out here to me,

970
00:57:41,480 --> 00:57:43,320
Speaker 1: so they should be. They're probably here right now, like

971
00:57:43,320 --> 00:57:44,720
Speaker 1: they probably just got here. So I just got an

972
00:57:44,760 --> 00:57:46,160
Speaker 1: email from a friend of mine who was a little

973
00:57:46,160 --> 00:57:49,200
Speaker 1: torn up because she had gone. She doesn't really know

974
00:57:49,320 --> 00:57:51,720
Speaker 1: much about hunting, but she's gone to Texas with some

975
00:57:51,760 --> 00:57:54,720
Speaker 1: guys to go shoot pigs. Just ditched all those pigs, man. Man,

976
00:57:54,800 --> 00:57:56,840
Speaker 1: It's she's kind of bumped because she wanted to keep somebody.

977
00:57:56,840 --> 00:57:58,520
Speaker 1: No one even wanted to help her keep them. It's

978
00:57:58,560 --> 00:58:01,840
Speaker 1: it's really bad. Actually, we we just finished filming the

979
00:58:01,880 --> 00:58:04,000
Speaker 1: first episode of Sabre Tooth, of our new show, and

980
00:58:04,240 --> 00:58:06,080
Speaker 1: pigs is like the species that we hunt in the

981
00:58:06,120 --> 00:58:08,680
Speaker 1: beginning of it, and we talked about that a lot.

982
00:58:09,000 --> 00:58:10,640
Speaker 1: Like there's a lot of I don't know, there's a

983
00:58:10,680 --> 00:58:13,160
Speaker 1: lot of bad information out there about how they're not

984
00:58:13,280 --> 00:58:15,600
Speaker 1: good to eat, which is couldn't be further from the truth.

985
00:58:15,760 --> 00:58:18,000
Speaker 1: It's weird because you have on one hand, you have

986
00:58:18,160 --> 00:58:22,560
Speaker 1: like award winning restaurants, right, you know, like like our

987
00:58:22,640 --> 00:58:26,040
Speaker 1: mutual friend Jesse Griffiths, right right, he's running a damn restaurant, right,

988
00:58:26,360 --> 00:58:29,560
Speaker 1: like gets all these like rave reviews. The dudes got

989
00:58:29,600 --> 00:58:31,959
Speaker 1: like a he got did. Did he went a Beard

990
00:58:31,960 --> 00:58:33,880
Speaker 1: Award for a book or something he did? I mean

991
00:58:33,880 --> 00:58:38,120
Speaker 1: he's been nominated for his for his books off wild Pigs, right,

992
00:58:38,840 --> 00:58:40,760
Speaker 1: But then you got some guy five you know, five

993
00:58:40,760 --> 00:58:45,400
Speaker 1: feet away, Yeah, like restaurant. I mean, I literally, I

994
00:58:45,400 --> 00:58:47,640
Speaker 1: mean I was listening to hunters say it to me

995
00:58:47,800 --> 00:58:49,520
Speaker 1: the other weekend we were all hunting together. They're like,

996
00:58:49,760 --> 00:58:51,320
Speaker 1: you don't want to eat that? And I'm like, I

997
00:58:51,320 --> 00:58:53,560
Speaker 1: eat them all the time. I would rather eat them

998
00:58:53,560 --> 00:58:56,200
Speaker 1: than white tailed deer. I mean personally, I think they're

999
00:58:56,200 --> 00:58:59,880
Speaker 1: a hell of a lot more delicious than that. So, um, yeah,

1000
00:59:00,040 --> 00:59:02,160
Speaker 1: they make great stuff. We make tons of cool stuff

1001
00:59:02,280 --> 00:59:04,920
Speaker 1: out of it. So and it's just about understanding. And

1002
00:59:05,040 --> 00:59:08,000
Speaker 1: Jesse's newest book, he does an awesome job of breaking

1003
00:59:08,000 --> 00:59:12,320
Speaker 1: the hog book. The hog books the best in my opinion,

1004
00:59:12,320 --> 00:59:15,520
Speaker 1: It's the best single subject cookbook I've seen in the

1005
00:59:15,600 --> 00:59:18,520
Speaker 1: last decade. Like I don't have like the hog experience

1006
00:59:18,560 --> 00:59:19,960
Speaker 1: that you have. I mean, I have, like you know,

1007
00:59:20,200 --> 00:59:23,120
Speaker 1: here and there a handful of ones that I've dealt with,

1008
00:59:23,240 --> 00:59:24,840
Speaker 1: but I haven't dealt with like like you guys deal

1009
00:59:24,880 --> 00:59:27,240
Speaker 1: with like tons of them all time. So I can't

1010
00:59:27,240 --> 00:59:29,640
Speaker 1: say with you know, I can't be like a hog expert.

1011
00:59:29,720 --> 00:59:31,800
Speaker 1: But I mean, I can't imagine there's something out there

1012
00:59:31,800 --> 00:59:34,960
Speaker 1: that even remotely compares to that book, Not not at all.

1013
00:59:35,040 --> 00:59:38,560
Speaker 1: I mean it's it's seriously unbelievably well done, and that

1014
00:59:38,640 --> 00:59:43,320
Speaker 1: dude's developed like indisputable subject matter expertise where you really

1015
00:59:43,680 --> 00:59:47,240
Speaker 1: you probably can't. I mean, maybe somewhere it or someone

1016
00:59:47,280 --> 00:59:49,400
Speaker 1: that knows more. I don't know, man, I mean I

1017
00:59:49,440 --> 00:59:51,800
Speaker 1: text Jesse about it, like I've killed a ton of

1018
00:59:51,800 --> 00:59:53,800
Speaker 1: hogs and no how and no my. I mean, I

1019
00:59:53,840 --> 00:59:56,640
Speaker 1: wrote a book on pork, you know, a cookbook on it.

1020
00:59:56,760 --> 00:59:59,280
Speaker 1: But even I text Jesse sometimes with questions about just

1021
01:00:00,040 --> 01:00:01,640
Speaker 1: you know, I killed one that was really big, and

1022
01:00:01,680 --> 01:00:03,760
Speaker 1: I was curious because it did have a ton of fat,

1023
01:00:04,120 --> 01:00:07,520
Speaker 1: if we could scald it and you know, scrape the

1024
01:00:07,560 --> 01:00:11,479
Speaker 1: hair and actually keep the skin intact. Yeah, we tried

1025
01:00:11,520 --> 01:00:16,320
Speaker 1: that once, That's right. I can't remember we had in

1026
01:00:16,360 --> 01:00:18,760
Speaker 1: New Zealand. Were good? I thought we did with that

1027
01:00:18,800 --> 01:00:21,280
Speaker 1: hog we got in Florida. Remember we kept that big

1028
01:00:21,360 --> 01:00:23,480
Speaker 1: Yeah we scraped it right there. Oh yeah we made

1029
01:00:23,480 --> 01:00:27,000
Speaker 1: our own. Yeah we made cheat your own as well.

1030
01:00:27,080 --> 01:00:29,720
Speaker 1: Here's uh, yeah, you know what else we did down there?

1031
01:00:30,160 --> 01:00:33,040
Speaker 1: We made our own sausage casinges. Oh yeah, cool. That

1032
01:00:33,080 --> 01:00:35,920
Speaker 1: ain't easy. No, that's some work. We took all that

1033
01:00:35,960 --> 01:00:37,400
Speaker 1: hog got out. But that was the hell of a

1034
01:00:37,520 --> 01:00:41,440
Speaker 1: night that night. Indeed, you want to talk about a

1035
01:00:41,480 --> 01:00:45,720
Speaker 1: fight between some dogs and a raccoon. Yeah, a lot

1036
01:00:45,800 --> 01:00:48,280
Speaker 1: of things happened before the fight with the dog and

1037
01:00:48,360 --> 01:00:51,480
Speaker 1: the hog. I want to real quick just give a

1038
01:00:51,520 --> 01:00:56,320
Speaker 1: recap of that you skipped there. I've talked about this,

1039
01:00:56,360 --> 01:00:58,200
Speaker 1: I'm gonna talk. I'm gonna tell a real quick recap

1040
01:00:58,200 --> 01:01:02,480
Speaker 1: of this night. We're down turkey hunting, hunting for Osceola's

1041
01:01:02,560 --> 01:01:08,040
Speaker 1: you know, you still gotta get right, uh, and we

1042
01:01:08,120 --> 01:01:11,240
Speaker 1: ran into these guys. Is the guy that owned we're

1043
01:01:11,280 --> 01:01:13,800
Speaker 1: out of place where there's like a dude that least

1044
01:01:13,840 --> 01:01:17,520
Speaker 1: the turkey hunting rights on a place. But then the

1045
01:01:17,600 --> 01:01:19,880
Speaker 1: actual guy that owned the place, we run into him,

1046
01:01:19,960 --> 01:01:22,439
Speaker 1: and they're pouring up some big stiff drinks heading out,

1047
01:01:23,920 --> 01:01:25,560
Speaker 1: you know, like those uh when you go to like

1048
01:01:25,720 --> 01:01:30,520
Speaker 1: uh seven eleven big gold yeah, big gold size cocktails.

1049
01:01:31,400 --> 01:01:33,280
Speaker 1: And they're going out in a swamp buggy to go

1050
01:01:33,440 --> 01:01:37,160
Speaker 1: hunt pigs. And this guy's ranch, his cattle ranch, a

1051
01:01:37,280 --> 01:01:43,840
Speaker 1: butts uh preserve, um like a preserved debt. It was

1052
01:01:43,880 --> 01:01:46,160
Speaker 1: dedicated to a certain species of bird. I can't remember what,

1053
01:01:47,160 --> 01:01:52,680
Speaker 1: but the no hunting on the preserve um and where

1054
01:01:52,720 --> 01:01:56,240
Speaker 1: his where his place has been like historically grazed by

1055
01:01:56,240 --> 01:01:59,080
Speaker 1: cattle is like those hammocks you know. So it's like

1056
01:01:59,160 --> 01:02:02,920
Speaker 1: it's grab it's fly grassland with hammocks of like palmetto.

1057
01:02:03,920 --> 01:02:05,960
Speaker 1: And then you go to this fence where it goes

1058
01:02:06,000 --> 01:02:11,640
Speaker 1: from traditional cattle country to preserve. It's like the jungle starts.

1059
01:02:12,760 --> 01:02:15,880
Speaker 1: I mean, if you look one direction, you think here

1060
01:02:15,920 --> 01:02:18,000
Speaker 1: in one like state or country. At every look the

1061
01:02:18,080 --> 01:02:21,720
Speaker 1: art directual, you think you're in another country. This border

1062
01:02:21,760 --> 01:02:24,120
Speaker 1: of like cattle and and and he's got a fence,

1063
01:02:24,760 --> 01:02:28,440
Speaker 1: but he's got doors cut into the fence. So when

1064
01:02:28,480 --> 01:02:31,120
Speaker 1: he's fixing to go hog hunting, they open those doors

1065
01:02:31,120 --> 01:02:34,560
Speaker 1: for a couple of days and all the pigs invade

1066
01:02:34,720 --> 01:02:37,640
Speaker 1: his ranch. So the first step is to go and

1067
01:02:37,680 --> 01:02:41,080
Speaker 1: close all the doors. Then you turn the dogs loose

1068
01:02:42,040 --> 01:02:47,720
Speaker 1: and guess where the pigs get caught? Yep, oh man fence. Yeah,

1069
01:02:48,880 --> 01:02:51,560
Speaker 1: they had a dog get caught real bad by a pig.

1070
01:02:52,600 --> 01:02:55,000
Speaker 1: And I asked him, what is your vet think about

1071
01:02:55,040 --> 01:02:56,880
Speaker 1: you bringing in all these dogs that are caught up

1072
01:02:56,920 --> 01:02:59,919
Speaker 1: by pigs, and he said it's my favorite quotever. He said,

1073
01:03:00,040 --> 01:03:02,480
Speaker 1: you gotta get a vet who likes the hunt hogs.

1074
01:03:04,800 --> 01:03:07,240
Speaker 1: We lost. We lost a dog on this last hunt

1075
01:03:07,320 --> 01:03:09,920
Speaker 1: on the saber Tooth episode. We had one to get

1076
01:03:09,920 --> 01:03:15,000
Speaker 1: Gordon and went down fighting, died with his boots on. Yeah,

1077
01:03:15,240 --> 01:03:16,880
Speaker 1: it was pretty gnarly. It was a big It's the

1078
01:03:16,880 --> 01:03:19,520
Speaker 1: biggest hog I've ever killed on that property, Like right

1079
01:03:19,560 --> 01:03:22,560
Speaker 1: at four killed dog? What ye was? Everybody was? Everybody

1080
01:03:22,600 --> 01:03:26,160
Speaker 1: upset about the dog, imagine. Yeah. And it happened so fast,

1081
01:03:26,200 --> 01:03:28,080
Speaker 1: like I saw him get cut right as I like

1082
01:03:28,240 --> 01:03:31,160
Speaker 1: jumped onto the pig to stab him. But I didn't

1083
01:03:31,160 --> 01:03:33,000
Speaker 1: realize that he gotten hit that bad. So and he

1084
01:03:33,080 --> 01:03:36,160
Speaker 1: just bled out, M dude, I don't know what it

1085
01:03:36,240 --> 01:03:38,000
Speaker 1: is that maybe you can answer this since you've done

1086
01:03:38,000 --> 01:03:40,439
Speaker 1: so much more hog hunting. I just did, like I went.

1087
01:03:40,760 --> 01:03:42,120
Speaker 1: It was in Texas a couple of weeks ago, and

1088
01:03:42,120 --> 01:03:45,000
Speaker 1: didn't my first ever like real personal hog hunting, right,

1089
01:03:45,120 --> 01:03:47,640
Speaker 1: not watching Steve do it or watching someone else do it.

1090
01:03:48,240 --> 01:03:50,760
Speaker 1: And every time I'd see him at a hundred yards

1091
01:03:50,800 --> 01:03:53,520
Speaker 1: and be like, oh ship, that's a giant. Oh god,

1092
01:03:55,320 --> 01:03:57,320
Speaker 1: I'm looking at Chris the camera guy, like I think

1093
01:03:57,320 --> 01:03:59,080
Speaker 1: it's gotta be over a hundred for sure, And that's

1094
01:03:59,080 --> 01:04:01,960
Speaker 1: where we're looking at the plus or minus a hundred range. Yeah,

1095
01:04:02,480 --> 01:04:04,800
Speaker 1: and we're like, okay, sweet, let's forget about nil guy,

1096
01:04:04,920 --> 01:04:06,960
Speaker 1: let's go try to get on this hog. And like

1097
01:04:07,120 --> 01:04:09,480
Speaker 1: I get to seventy, I'm like, yeah, still pretty big.

1098
01:04:09,600 --> 01:04:12,240
Speaker 1: Get to fifty, I'm like getting a little bit smaller.

1099
01:04:12,560 --> 01:04:15,160
Speaker 1: And when I'm at like thirty yards, I'm like, man,

1100
01:04:15,320 --> 01:04:19,400
Speaker 1: that hunter pounder turned into like forty fifty again, Like

1101
01:04:19,800 --> 01:04:23,200
Speaker 1: why is it? Because it's about why does everybody think

1102
01:04:23,240 --> 01:04:25,520
Speaker 1: every bear is big? Correct? And why do they think

1103
01:04:25,560 --> 01:04:28,600
Speaker 1: every mountain lion is a two pound tom? Yeah, it's

1104
01:04:28,600 --> 01:04:31,760
Speaker 1: the it's the dimensionality of of hogs. Like even little

1105
01:04:31,800 --> 01:04:34,400
Speaker 1: hogs are shaped the same as big hogs for the

1106
01:04:34,400 --> 01:04:36,600
Speaker 1: most part. Short of like like this one that we

1107
01:04:36,680 --> 01:04:38,520
Speaker 1: killed here, I pulled up the photos. You could see it,

1108
01:04:38,560 --> 01:04:41,920
Speaker 1: like you can get a sense of how big it was. Um,

1109
01:04:41,960 --> 01:04:44,560
Speaker 1: but this one had a ton of Russian born and

1110
01:04:44,640 --> 01:04:49,520
Speaker 1: so it was those are born in the wild. Yeah,

1111
01:04:50,440 --> 01:04:55,200
Speaker 1: that's not one of those hogs zillas where they exactly no.

1112
01:04:55,280 --> 01:04:57,200
Speaker 1: But I mean, honestly, on our property, you'll see a

1113
01:04:57,200 --> 01:05:00,480
Speaker 1: lot of ones that are clearly feral to me sticated

1114
01:05:00,480 --> 01:05:03,680
Speaker 1: hogs and there it's pretty obvious they have a completely

1115
01:05:03,680 --> 01:05:07,760
Speaker 1: different shape, that's a different strain altogether. Remember that guy

1116
01:05:07,760 --> 01:05:09,919
Speaker 1: that turned up and he's got some eleven hunter pound

1117
01:05:09,960 --> 01:05:12,560
Speaker 1: wild hog and it's all over social media something like

1118
01:05:12,880 --> 01:05:14,640
Speaker 1: some too was like, hey, I just sold that guy

1119
01:05:14,640 --> 01:05:17,600
Speaker 1: that I know, the dude who sold in the hog.

1120
01:05:18,000 --> 01:05:20,320
Speaker 1: I was. Actually he's one of my buddies and we

1121
01:05:20,320 --> 01:05:22,120
Speaker 1: were hog hunting together and we were talking about that

1122
01:05:22,200 --> 01:05:24,200
Speaker 1: and he's like, I sold that guy the hog like

1123
01:05:24,240 --> 01:05:26,600
Speaker 1: the week before. In fact, he's like, here's a picture

1124
01:05:26,600 --> 01:05:30,480
Speaker 1: of it in my truck. Yeah. Yeah, this buddy of mine, um,

1125
01:05:30,760 --> 01:05:33,080
Speaker 1: he's the only person in Georgia who has a license

1126
01:05:33,160 --> 01:05:36,360
Speaker 1: for like live captive like Ferrell Hoggs like, and so

1127
01:05:36,440 --> 01:05:39,640
Speaker 1: he just sold that guy that pig. Hey, real quick,

1128
01:05:39,640 --> 01:05:41,439
Speaker 1: before we move on, we haven't mentioned all the things

1129
01:05:41,440 --> 01:05:44,680
Speaker 1: that happened at night. Oh okay, no, I they caught

1130
01:05:44,680 --> 01:05:46,880
Speaker 1: a pig that had they castraight. They caught a pig

1131
01:05:46,880 --> 01:05:49,360
Speaker 1: and castrated it and turned it back out, huh, which

1132
01:05:49,400 --> 01:05:52,280
Speaker 1: made the pig go from makes his mind off, he

1133
01:05:52,320 --> 01:05:55,680
Speaker 1: became a barred hog, and it takes his mind off

1134
01:05:55,840 --> 01:05:59,480
Speaker 1: ass and puts it on grass, as was explained to us.

1135
01:06:00,280 --> 01:06:03,240
Speaker 1: Then they caught another pig that they had castrated years

1136
01:06:03,240 --> 01:06:08,960
Speaker 1: gone by and kept that one m to eat. And

1137
01:06:09,200 --> 01:06:11,200
Speaker 1: we got to the pig and cleaned all of its

1138
01:06:11,200 --> 01:06:14,000
Speaker 1: intestines out and then inverted them and scraped them and

1139
01:06:14,000 --> 01:06:17,800
Speaker 1: made our own sausage cases. Was his labor intensive, and

1140
01:06:17,920 --> 01:06:21,760
Speaker 1: made our own cheech RNAs. When I was talking about Burnam,

1141
01:06:21,800 --> 01:06:23,520
Speaker 1: do you remember were you there in New Zealand when

1142
01:06:23,560 --> 01:06:25,240
Speaker 1: we had a We got a big ripper going and

1143
01:06:25,400 --> 01:06:27,320
Speaker 1: through the whole pig in there and then dumped into

1144
01:06:27,320 --> 01:06:29,600
Speaker 1: creek and scraped all of its hide off, all of

1145
01:06:29,600 --> 01:06:31,720
Speaker 1: its hair off. But I always talked about that episode,

1146
01:06:31,720 --> 01:06:34,000
Speaker 1: and I tell people that it is possible to film

1147
01:06:34,040 --> 01:06:39,400
Speaker 1: a whole meter episode in one day. No, you guys weren't.

1148
01:06:40,360 --> 01:06:44,240
Speaker 1: Maybe the hunting was done. What's up with the What's

1149
01:06:44,240 --> 01:06:46,760
Speaker 1: what's up with you being? Uh? Oh? Go ahead, Johnnie.

1150
01:06:46,960 --> 01:06:50,200
Speaker 1: I just was real quick, was gonna plug Jesse Griffiths

1151
01:06:50,200 --> 01:06:52,200
Speaker 1: one more time and say, if you're in Austin, definitely

1152
01:06:52,280 --> 01:06:54,840
Speaker 1: try to go to die due a yeah, and then

1153
01:06:55,080 --> 01:06:57,200
Speaker 1: if you're interested in the hog book. Go to the

1154
01:06:57,480 --> 01:07:00,240
Speaker 1: hogbook dot com. Yeah, and even if you're if you

1155
01:07:00,320 --> 01:07:02,840
Speaker 1: don't think you're interested in the hog Book, go buy it.

1156
01:07:02,840 --> 01:07:06,160
Speaker 1: It's unreal, Like it's so well done, and I mean

1157
01:07:06,160 --> 01:07:08,680
Speaker 1: this is coming from a professional chef like it is.

1158
01:07:09,480 --> 01:07:11,120
Speaker 1: I just think it's one of the most well written.

1159
01:07:11,320 --> 01:07:13,400
Speaker 1: Look right here, I'm on the front page. It says

1160
01:07:13,440 --> 01:07:15,640
Speaker 1: praise for the Hog Book easily one of the best

1161
01:07:15,640 --> 01:07:19,320
Speaker 1: cookbooks that I have seen in years, Chef Kevin Gillespie

1162
01:07:19,440 --> 01:07:21,960
Speaker 1: right there, he's not lying. I mean, I'm just I

1163
01:07:22,000 --> 01:07:24,200
Speaker 1: have multiple copies. I like give them out as gifts

1164
01:07:24,240 --> 01:07:26,440
Speaker 1: to people, Like I just bought like a case of

1165
01:07:26,480 --> 01:07:29,040
Speaker 1: them from Jesse And like anytime somebody's like I don't

1166
01:07:29,040 --> 01:07:31,040
Speaker 1: really know what to do with hogs, I'm like, hang tight, Like,

1167
01:07:31,520 --> 01:07:33,760
Speaker 1: just hand copy of this book. Phil, Are you going

1168
01:07:33,800 --> 01:07:35,520
Speaker 1: down to Texas with us? When we got down Texas

1169
01:07:35,520 --> 01:07:43,000
Speaker 1: pretty soon? We gotta get a reservation there? Have you

1170
01:07:43,040 --> 01:07:47,720
Speaker 1: told him? Have you gotten us a reservation? Yeah, let's

1171
01:07:47,720 --> 01:07:51,160
Speaker 1: talk to him. Um, so tell me about this whole

1172
01:07:51,280 --> 01:07:55,840
Speaker 1: uh semifinalists restaurant tour, restaurant tour. That's a hard word.

1173
01:07:56,120 --> 01:07:59,520
Speaker 1: Restaurant tour, restaurant tour um, the James Beard Foundation. So

1174
01:07:59,560 --> 01:08:01,520
Speaker 1: it's like the easiest way I can describe it is

1175
01:08:01,560 --> 01:08:03,760
Speaker 1: that it is the It's like the Academy Awards for

1176
01:08:03,880 --> 01:08:08,080
Speaker 1: the food and beverage hospitality industry. It's a really big deal. Um,

1177
01:08:08,120 --> 01:08:11,040
Speaker 1: I've been nominated. I think this is my tenth nomination.

1178
01:08:11,080 --> 01:08:13,960
Speaker 1: I'm like the Susan Lucci of of the James Beard Foundation.

1179
01:08:14,000 --> 01:08:16,240
Speaker 1: But you can't steal the deal. Now, I can't ever win.

1180
01:08:16,439 --> 01:08:21,240
Speaker 1: I just get nominated a ton, but like I mean, yeah, yeah,

1181
01:08:21,280 --> 01:08:23,759
Speaker 1: and I don't. I'm not like a really good loser,

1182
01:08:24,040 --> 01:08:26,240
Speaker 1: so I have a tendency when I don't win to

1183
01:08:26,360 --> 01:08:30,439
Speaker 1: show my ass pretty much immediately following that son um

1184
01:08:30,880 --> 01:08:33,400
Speaker 1: this year, I was very much not expecting this, to

1185
01:08:33,400 --> 01:08:36,080
Speaker 1: be honest with you, because the two most difficult ones

1186
01:08:36,160 --> 01:08:39,800
Speaker 1: to even be nominated for our Restaurateur and then another

1187
01:08:39,800 --> 01:08:42,200
Speaker 1: one called Outstanding Chef. Because there are a national awards,

1188
01:08:42,200 --> 01:08:45,160
Speaker 1: so it's not regionalized. It's like you gotta cut through

1189
01:08:45,160 --> 01:08:47,880
Speaker 1: a lot of chaft to like make it um. And

1190
01:08:47,920 --> 01:08:52,160
Speaker 1: I was just shocked. And I interestingly enough, I think

1191
01:08:52,200 --> 01:08:55,640
Speaker 1: that a letter that I wrote to the Foundation this

1192
01:08:55,720 --> 01:08:58,040
Speaker 1: year might have been the reason that I made the list.

1193
01:08:58,280 --> 01:09:00,519
Speaker 1: Because you're like, what gives I read a letter and

1194
01:09:00,560 --> 01:09:05,400
Speaker 1: just said, you say that you care about these particular things, like, well,

1195
01:09:05,400 --> 01:09:09,120
Speaker 1: they've they're very vocal about social justice and social aspects,

1196
01:09:09,120 --> 01:09:14,040
Speaker 1: and like restaurants having an obligation to improve, um, you know,

1197
01:09:14,080 --> 01:09:16,880
Speaker 1: in their hiring practices, all these things, you know. But

1198
01:09:16,920 --> 01:09:19,080
Speaker 1: then I don't feel like they reciprocate that with who

1199
01:09:19,080 --> 01:09:21,080
Speaker 1: they hand the awards out to. And so I wrote

1200
01:09:21,160 --> 01:09:23,760
Speaker 1: them a letter and said, you know, my restaurant group

1201
01:09:23,880 --> 01:09:27,720
Speaker 1: is owned like by a minority as well as myself, Like,

1202
01:09:28,120 --> 01:09:32,240
Speaker 1: we operate our own charity that that feeds five families

1203
01:09:32,280 --> 01:09:35,000
Speaker 1: a day in Atlanta. We dedicate almost half of our

1204
01:09:35,000 --> 01:09:39,479
Speaker 1: profits every year to that, Like and yet somehow, some way,

1205
01:09:39,600 --> 01:09:42,280
Speaker 1: like you seemingly overlook that kind of stuff, and then

1206
01:09:42,320 --> 01:09:44,760
Speaker 1: you give the awards out to people who six months

1207
01:09:44,760 --> 01:09:46,559
Speaker 1: from now end up having a New York Times article

1208
01:09:46,600 --> 01:09:49,519
Speaker 1: written about how they have this horrible culture inside their business.

1209
01:09:49,800 --> 01:09:51,679
Speaker 1: So like, you know, put your money where your mouth

1210
01:09:53,400 --> 01:09:59,599
Speaker 1: and so and also doing a little subter fee, doing

1211
01:09:59,640 --> 01:10:02,000
Speaker 1: a lot things you're not supposed to be doing. And

1212
01:10:02,439 --> 01:10:05,559
Speaker 1: I at the place we're talking about, and I was

1213
01:10:05,760 --> 01:10:08,040
Speaker 1: all night saying to my wife, like I just smell

1214
01:10:08,040 --> 01:10:12,160
Speaker 1: a fish. I smell a fish. I mean, it's just

1215
01:10:12,240 --> 01:10:16,960
Speaker 1: it's like so anyhow, I I just was maybe it

1216
01:10:16,960 --> 01:10:19,360
Speaker 1: was an inappropriate thing to do, but I felt compelled

1217
01:10:19,439 --> 01:10:22,200
Speaker 1: to do this, and so somehow, some way, I think

1218
01:10:22,280 --> 01:10:25,080
Speaker 1: maybe that, like I don't know, maybe that's what got

1219
01:10:25,120 --> 01:10:26,799
Speaker 1: me on the list, because I certainly was not expecting

1220
01:10:26,840 --> 01:10:28,519
Speaker 1: it by any more. Hopefully that, I mean, that's not

1221
01:10:28,560 --> 01:10:31,360
Speaker 1: your own goal, but hopefully that I mean, it's glad.

1222
01:10:31,400 --> 01:10:33,160
Speaker 1: I'm glad you got on there, but hopefully that helps

1223
01:10:33,360 --> 01:10:35,879
Speaker 1: in the future to get other people that are actually,

1224
01:10:36,320 --> 01:10:39,000
Speaker 1: you know, meant to be there, because I was, like,

1225
01:10:39,040 --> 01:10:42,400
Speaker 1: you know, especially that award, like what makes you an

1226
01:10:42,400 --> 01:10:45,439
Speaker 1: outstanding restaurateur is all about your culture and what you

1227
01:10:45,479 --> 01:10:47,679
Speaker 1: do as a company and how you support your team

1228
01:10:47,720 --> 01:10:49,800
Speaker 1: and all that kind of stuff. It doesn't this isn't

1229
01:10:49,840 --> 01:10:51,760
Speaker 1: like flash in the pan. It really should be an

1230
01:10:51,760 --> 01:10:53,559
Speaker 1: award that's given out to people who are making like

1231
01:10:53,840 --> 01:10:57,400
Speaker 1: a substantial difference in their localized food in beverage community,

1232
01:10:57,400 --> 01:10:59,800
Speaker 1: but are also like kind of setting the tone for

1233
01:11:00,439 --> 01:11:02,120
Speaker 1: what you would want people to do in the future.

1234
01:11:02,160 --> 01:11:04,200
Speaker 1: And it's really easy to talk about doing it, but

1235
01:11:04,280 --> 01:11:06,240
Speaker 1: I can tell you it's very hard and expensive to

1236
01:11:06,320 --> 01:11:09,759
Speaker 1: actually do it, and so you know, hopefully that encourages

1237
01:11:09,800 --> 01:11:14,960
Speaker 1: people to do that in the future. Congratulations, appreciate. Semifinalists

1238
01:11:14,960 --> 01:11:17,880
Speaker 1: are there, I don't know, maybe fifteen or something like

1239
01:11:17,920 --> 01:11:20,200
Speaker 1: that in the country, and then it'll go to five

1240
01:11:20,280 --> 01:11:23,960
Speaker 1: finalists week after next something like that. At two weeks.

1241
01:11:24,400 --> 01:11:26,439
Speaker 1: People should go out there. There should be a social

1242
01:11:26,439 --> 01:11:28,880
Speaker 1: media campaign. I wish it's that's the way it worked,

1243
01:11:28,920 --> 01:11:31,280
Speaker 1: Like how you do that kind of stuff with the

1244
01:11:31,280 --> 01:11:34,080
Speaker 1: oscars man for sure? Yeah, I would that be huge.

1245
01:11:34,120 --> 01:11:37,200
Speaker 1: I mean I don't I don't think anybody really understands

1246
01:11:37,880 --> 01:11:41,320
Speaker 1: how you like, who is who is shortening the list

1247
01:11:41,400 --> 01:11:43,680
Speaker 1: or even then once the list is shortened, because I've

1248
01:11:43,680 --> 01:11:46,680
Speaker 1: been a finalist a number of times in different categories,

1249
01:11:47,280 --> 01:11:49,599
Speaker 1: like why this person wins in this and these other

1250
01:11:49,640 --> 01:11:51,479
Speaker 1: folks don't, like, I have no idea how that works,

1251
01:11:51,479 --> 01:11:53,240
Speaker 1: to be honest with you. We've been nominated for those

1252
01:11:53,240 --> 01:11:55,360
Speaker 1: soun's bitches and went down to the ceremony and everything

1253
01:11:55,400 --> 01:11:58,640
Speaker 1: didn't win. Yeah, the last time, I was like, I

1254
01:11:58,680 --> 01:12:01,160
Speaker 1: wanted to come if I knew I wasn't to win. Literally,

1255
01:12:01,160 --> 01:12:03,479
Speaker 1: it's not a great story about me. But the last

1256
01:12:03,479 --> 01:12:05,519
Speaker 1: time I was there, I thought for sure I was

1257
01:12:05,560 --> 01:12:08,120
Speaker 1: gonna win. And when I did, you're sitting there like

1258
01:12:08,120 --> 01:12:10,360
Speaker 1: going over your notes for your speech and stuff. I

1259
01:12:10,360 --> 01:12:12,240
Speaker 1: don't know what I was really fucking. I was like

1260
01:12:12,280 --> 01:12:15,800
Speaker 1: antie a ship. And then when they announced somebody else's name,

1261
01:12:16,080 --> 01:12:18,599
Speaker 1: this is in such poor taste. I literally just stood

1262
01:12:18,640 --> 01:12:21,479
Speaker 1: up and said funck this and walked out and then

1263
01:12:21,560 --> 01:12:24,720
Speaker 1: got like black out drunk um off of all the

1264
01:12:24,720 --> 01:12:28,519
Speaker 1: free booze. So so yeah, that's good, Kevin Gillespie, Like

1265
01:12:28,880 --> 01:12:32,120
Speaker 1: high character story there, you know, very proud moment for

1266
01:12:32,240 --> 01:12:35,640
Speaker 1: my wife and my teammates. Yeah, I would think that

1267
01:12:35,680 --> 01:12:37,439
Speaker 1: they would then never award you anything. Well, I was

1268
01:12:37,479 --> 01:12:40,439
Speaker 1: pretty sure I was blacklisted for for some stuff like yeah,

1269
01:12:40,439 --> 01:12:43,559
Speaker 1: I mean, I'm definitely apologized. I was. I was just

1270
01:12:43,640 --> 01:12:46,760
Speaker 1: so wound up, like there's so much anxiety leading into

1271
01:12:46,840 --> 01:12:49,160
Speaker 1: it that like I just blew up for something. Man

1272
01:12:49,880 --> 01:12:56,480
Speaker 1: man uh speaking of restaurantses not't do the restaurant, Okay,

1273
01:12:57,720 --> 01:12:59,519
Speaker 1: I told I shared a story about my old man

1274
01:12:59,520 --> 01:13:01,599
Speaker 1: talking about these guys used to hang deer until they

1275
01:13:01,640 --> 01:13:05,559
Speaker 1: were coated in mold. This guy writes in and I

1276
01:13:05,720 --> 01:13:07,080
Speaker 1: must have said something like I don't know at least

1277
01:13:07,080 --> 01:13:08,640
Speaker 1: that's what my dad said. I wasn't there, And he

1278
01:13:08,680 --> 01:13:12,320
Speaker 1: wrote in to say like he wants to substantiate the

1279
01:13:12,320 --> 01:13:14,479
Speaker 1: story based on something that happened to him when he

1280
01:13:14,520 --> 01:13:20,360
Speaker 1: was worked at an avatar a country avatich is that

1281
01:13:22,880 --> 01:13:25,960
Speaker 1: you want a hell of an album is avatoires blues

1282
01:13:27,280 --> 01:13:32,400
Speaker 1: Nick cave um hell of an especially the second part.

1283
01:13:32,720 --> 01:13:39,479
Speaker 1: So they used to hang cattle twenty eight days humidity control,

1284
01:13:39,680 --> 01:13:41,559
Speaker 1: large coolers. You said they would grow mold. He said,

1285
01:13:41,600 --> 01:13:44,960
Speaker 1: the building was really old. The cows would start growing

1286
01:13:44,960 --> 01:13:47,799
Speaker 1: a gray mold similar to hair over the entire carcass.

1287
01:13:48,560 --> 01:13:51,320
Speaker 1: By day one it was thickly covering any area with

1288
01:13:51,400 --> 01:13:56,320
Speaker 1: protein or meat exposed from fat. And by day some

1289
01:13:56,400 --> 01:14:01,320
Speaker 1: cows had grown bad green mold as long as two

1290
01:14:01,320 --> 01:14:06,080
Speaker 1: inch strands. So two inch strands of mold. He goes

1291
01:14:06,120 --> 01:14:08,640
Speaker 1: on to say, this was This was a government inspected

1292
01:14:08,680 --> 01:14:13,200
Speaker 1: building in Ontario, all kinds of protocols. When they were

1293
01:14:13,240 --> 01:14:15,799
Speaker 1: working on stuff they had what was deemed the bad mold.

1294
01:14:16,400 --> 01:14:18,519
Speaker 1: The inspector would be there all day to watch them

1295
01:14:18,520 --> 01:14:22,559
Speaker 1: cut the beef. They had to have super hot water

1296
01:14:22,640 --> 01:14:26,080
Speaker 1: tanks that drip almost boiling water into stainless steel. Tanks.

1297
01:14:26,720 --> 01:14:31,200
Speaker 1: The tanks slowly drained between every cut. They required to

1298
01:14:31,240 --> 01:14:34,360
Speaker 1: sterilize the knife blade in the tank. When they're working

1299
01:14:34,400 --> 01:14:37,680
Speaker 1: on bad mold, they were required to cut from underneath

1300
01:14:37,680 --> 01:14:40,200
Speaker 1: towards out so as to not drag the mold into

1301
01:14:40,240 --> 01:14:45,320
Speaker 1: the meat um. When they're doing the not so bad mold,

1302
01:14:45,640 --> 01:14:48,519
Speaker 1: they trimmed off a considerable layer underneath to give more

1303
01:14:48,560 --> 01:14:54,320
Speaker 1: of a buffer. It was a very tender dry aged

1304
01:14:55,240 --> 01:14:58,720
Speaker 1: never had anybody get sick, never had any complaints. The

1305
01:14:58,800 --> 01:15:01,120
Speaker 1: coolers are eventually upgrade, but mold is really hard to

1306
01:15:01,160 --> 01:15:04,559
Speaker 1: avoid these old buildings because I think a lot of

1307
01:15:04,560 --> 01:15:07,519
Speaker 1: folks in the country eat moldy beef. It was common

1308
01:15:07,520 --> 01:15:11,040
Speaker 1: at every avatoire in that county that didn't have a

1309
01:15:11,080 --> 01:15:16,160
Speaker 1: building built newer. The I mean part of the process,

1310
01:15:16,240 --> 01:15:19,600
Speaker 1: the dry aging process is such that that mold is

1311
01:15:19,640 --> 01:15:22,400
Speaker 1: critical to it actually working. Like that's how it takes place.

1312
01:15:22,840 --> 01:15:26,360
Speaker 1: So like that that mold on the surfaces, it's not

1313
01:15:26,400 --> 01:15:29,360
Speaker 1: only is it not dangerous, it's actually like preventing it

1314
01:15:29,400 --> 01:15:31,720
Speaker 1: from being dangerous, Like it's like putting a jacket on

1315
01:15:31,760 --> 01:15:34,080
Speaker 1: it so that the meat that is you know, he

1316
01:15:34,120 --> 01:15:36,160
Speaker 1: points out that like it was it's in areas where

1317
01:15:36,160 --> 01:15:38,479
Speaker 1: the protein was exposed from the fat. The fat doesn't

1318
01:15:38,520 --> 01:15:40,479
Speaker 1: really grow it in a lot of ways, like it

1319
01:15:40,520 --> 01:15:42,519
Speaker 1: doesn't have the same effect on the on the fat

1320
01:15:42,640 --> 01:15:45,840
Speaker 1: component of it. Um. But that white mold is what

1321
01:15:45,880 --> 01:15:47,880
Speaker 1: it would be called. The gray that he's referring to

1322
01:15:48,040 --> 01:15:51,280
Speaker 1: is called white mold for UM. I won't go down

1323
01:15:51,280 --> 01:15:54,480
Speaker 1: the list of like its actual scientific names because it'll

1324
01:15:54,520 --> 01:15:57,639
Speaker 1: just confuse people. But that white mold is a very safe,

1325
01:15:58,200 --> 01:16:00,840
Speaker 1: very helpful It tells you that you're doing this at

1326
01:16:00,840 --> 01:16:03,120
Speaker 1: the right temp because it only grows at a very

1327
01:16:03,120 --> 01:16:06,320
Speaker 1: particular temp and only grows at a very particular humidity level.

1328
01:16:06,600 --> 01:16:08,840
Speaker 1: And that's inside that range of something that's very safe. Now,

1329
01:16:08,880 --> 01:16:12,479
Speaker 1: that green mold on that that stus dicey as ship

1330
01:16:12,720 --> 01:16:15,599
Speaker 1: and it's really not You've got to be really really

1331
01:16:15,640 --> 01:16:19,719
Speaker 1: careful with it. I'm I'm surprised that they were allowed

1332
01:16:19,760 --> 01:16:22,719
Speaker 1: to cut it out. He doesn't name the place. Yeah,

1333
01:16:22,760 --> 01:16:27,040
Speaker 1: I think that under most circumstances with modern like beef

1334
01:16:27,120 --> 01:16:31,439
Speaker 1: dry aging, that inspector that he's referring to will will

1335
01:16:31,880 --> 01:16:34,920
Speaker 1: reclaim that meat and it'll just get thrown away. Like

1336
01:16:34,960 --> 01:16:38,519
Speaker 1: they won't allow them to actually trim it off because

1337
01:16:38,560 --> 01:16:40,080
Speaker 1: that's the stuff that will make you really sick that

1338
01:16:40,120 --> 01:16:41,800
Speaker 1: you have to be really careful with. And so that

1339
01:16:41,880 --> 01:16:44,000
Speaker 1: technique that he's talking about makes perfect sense. That's really

1340
01:16:44,040 --> 01:16:46,000
Speaker 1: the only path out of that is that you've got

1341
01:16:46,000 --> 01:16:49,280
Speaker 1: to start somewhere underneath the white mold and then kind

1342
01:16:49,280 --> 01:16:51,160
Speaker 1: of get inside the animal and then kind of come

1343
01:16:51,200 --> 01:16:53,200
Speaker 1: back out and take off that whole chunk. And so

1344
01:16:53,240 --> 01:16:55,559
Speaker 1: you get huge amounts of meat loss in that scenaria.

1345
01:16:56,160 --> 01:16:59,639
Speaker 1: Now with wild game, though, it's completely different because there's

1346
01:16:59,640 --> 01:17:05,160
Speaker 1: really no no particular benefit to you dry aging something

1347
01:17:05,200 --> 01:17:08,439
Speaker 1: like a deer because and somebody, I'm sure somebody's gonna

1348
01:17:08,479 --> 01:17:10,960
Speaker 1: rite and be like, you're wrong, Kevin, I'm not talking

1349
01:17:11,040 --> 01:17:14,280
Speaker 1: about hanging an animal. I'm talking about dry aging an animal.

1350
01:17:14,680 --> 01:17:19,639
Speaker 1: Like without a lot of extra muscular and intramuscular fat,

1351
01:17:20,160 --> 01:17:24,080
Speaker 1: dry agings effects are pretty limited. Like the dry aging

1352
01:17:24,120 --> 01:17:27,760
Speaker 1: component breaks down natural enzymes in the meat that are

1353
01:17:27,800 --> 01:17:30,880
Speaker 1: present along the connection points of the protein and the fat,

1354
01:17:31,000 --> 01:17:33,080
Speaker 1: and so if there's not any fat, it doesn't really

1355
01:17:33,080 --> 01:17:34,720
Speaker 1: do the same thing, and you will end up with

1356
01:17:34,800 --> 01:17:37,600
Speaker 1: just tremendous loss. And so that's why really hanging a

1357
01:17:37,680 --> 01:17:40,680
Speaker 1: deer less than that twenty one days is probably your

1358
01:17:40,720 --> 01:17:44,120
Speaker 1: best bet, because what you do want is some evaporative um,

1359
01:17:44,160 --> 01:17:47,080
Speaker 1: you know, sort of loss of moisture, because that will

1360
01:17:47,479 --> 01:17:50,360
Speaker 1: um just the blood itself. Blood is very acidic and

1361
01:17:50,400 --> 01:17:53,040
Speaker 1: so the blood will break down the muscle protein, make

1362
01:17:53,040 --> 01:17:55,519
Speaker 1: it more tender, and it will concentrate its flavor because

1363
01:17:55,520 --> 01:17:59,040
Speaker 1: you're you're losing water. But if it shifts into that

1364
01:17:59,160 --> 01:18:02,720
Speaker 1: dry aging realm, you're probably not doing much to to

1365
01:18:02,840 --> 01:18:05,479
Speaker 1: tenderize it that much further, and you're running a really

1366
01:18:05,640 --> 01:18:08,639
Speaker 1: serious risk of just having a tremendous loss on that animal.

1367
01:18:08,640 --> 01:18:14,400
Speaker 1: When you got to butcher, uh, we had some stuff

1368
01:18:14,400 --> 01:18:16,600
Speaker 1: that had been dry age for eight some it was

1369
01:18:16,600 --> 01:18:20,519
Speaker 1: an odd dns dry j ten months, and it was

1370
01:18:20,720 --> 01:18:24,320
Speaker 1: we got into the shoulder and if you did that

1371
01:18:24,360 --> 01:18:27,400
Speaker 1: shoulder and cross section, the only thing that was left

1372
01:18:27,640 --> 01:18:29,880
Speaker 1: that the only thing that wasn't rind was the size

1373
01:18:29,880 --> 01:18:32,880
Speaker 1: of a walnut right like in diameter. It always sounds

1374
01:18:32,920 --> 01:18:36,480
Speaker 1: like the size of a white tail's tenderloin, like a

1375
01:18:36,520 --> 01:18:38,960
Speaker 1: hot dog, almost in the center, running through the center,

1376
01:18:39,080 --> 01:18:41,559
Speaker 1: and it was all rind. I imagine another six months

1377
01:18:41,600 --> 01:18:43,960
Speaker 1: the rind would have would have become rind. And you

1378
01:18:44,040 --> 01:18:48,680
Speaker 1: said it tasted like blue cheese tastes like because it

1379
01:18:48,760 --> 01:18:51,120
Speaker 1: was interesting. I wouldn't like eat it every night, but

1380
01:18:51,200 --> 01:18:55,200
Speaker 1: it was. It was it was like, wow, that's I thought.

1381
01:18:55,880 --> 01:18:59,120
Speaker 1: That white mold is the same mold that is growing

1382
01:18:59,160 --> 01:19:01,720
Speaker 1: on cave age. Jeesus, that's why they taste that way.

1383
01:19:01,800 --> 01:19:04,920
Speaker 1: I mean, it's the exact same stuff. And so um.

1384
01:19:04,960 --> 01:19:06,880
Speaker 1: You know, everybody has different opinions on how long you

1385
01:19:06,880 --> 01:19:08,640
Speaker 1: should take dry aging, you know, and it really is

1386
01:19:08,680 --> 01:19:11,759
Speaker 1: a matter of personal preference and taste. Um. The science

1387
01:19:11,800 --> 01:19:15,760
Speaker 1: behind it says that there's that the tenderizing effects of

1388
01:19:15,800 --> 01:19:17,720
Speaker 1: it stop at a certain point, and then from that

1389
01:19:17,760 --> 01:19:20,320
Speaker 1: point forward, you're really just aging for flavor's sake, Like

1390
01:19:20,720 --> 01:19:24,120
Speaker 1: do you want it to be much much stronger tasting? Um.

1391
01:19:24,160 --> 01:19:27,000
Speaker 1: But it is different with game species. It's different with everything.

1392
01:19:27,040 --> 01:19:29,120
Speaker 1: I mean we're talking about and when everybody's talking about

1393
01:19:29,160 --> 01:19:31,720
Speaker 1: drey aging and what he's talking about is cattle, and

1394
01:19:31,760 --> 01:19:34,120
Speaker 1: it's just a whole different ball game. You know that

1395
01:19:34,160 --> 01:19:35,880
Speaker 1: you can dry edge I mean we dry edged ducks

1396
01:19:35,920 --> 01:19:38,960
Speaker 1: in my restaurants, um, but it doesn't take very long

1397
01:19:39,000 --> 01:19:41,080
Speaker 1: to dry itch a duck, so you know, and that

1398
01:19:41,120 --> 01:19:45,439
Speaker 1: really is just too concentrate that UM. Pull some moisture

1399
01:19:45,479 --> 01:19:48,200
Speaker 1: out concentrate the density of the flesh. But we're really

1400
01:19:48,200 --> 01:19:50,000
Speaker 1: not tenderizing it. We're not leaving it long enough for

1401
01:19:50,000 --> 01:19:52,240
Speaker 1: that to happen. Have you ever heard of a contraption

1402
01:19:52,280 --> 01:19:56,240
Speaker 1: called a Warner Bruntler sheer force test? No, not at all.

1403
01:19:56,439 --> 01:20:00,360
Speaker 1: It's how they measure meat tenderness. Oh okay, And you

1404
01:20:00,439 --> 01:20:02,760
Speaker 1: take like you cut it to a certain thickness, and

1405
01:20:02,760 --> 01:20:08,320
Speaker 1: it's this machine that punches three centimeter diameter I think

1406
01:20:08,320 --> 01:20:12,000
Speaker 1: it's centimeter diameter holes through meat, and it measures resistance

1407
01:20:12,840 --> 01:20:17,320
Speaker 1: on the meat. I think that all this talk about

1408
01:20:17,360 --> 01:20:18,920
Speaker 1: all this like dry age in this and that and

1409
01:20:18,920 --> 01:20:21,920
Speaker 1: the other thing these days, what I want something it's

1410
01:20:21,920 --> 01:20:23,800
Speaker 1: a long study. What I want someone to do is

1411
01:20:23,840 --> 01:20:27,600
Speaker 1: I want someone to take a chunk helped meat, and

1412
01:20:27,600 --> 01:20:28,840
Speaker 1: I don't give a shot how long you age it,

1413
01:20:28,840 --> 01:20:30,519
Speaker 1: but take a chunk help me and hit it with

1414
01:20:30,600 --> 01:20:34,360
Speaker 1: a shear force test and then freeze a bunch of

1415
01:20:34,400 --> 01:20:37,280
Speaker 1: that right, and then six months later, hit it with

1416
01:20:37,280 --> 01:20:39,320
Speaker 1: a shear FORCET test. Hit it with a shear force

1417
01:20:39,400 --> 01:20:41,960
Speaker 1: test at twelve months, hit it with a shear FORCET

1418
01:20:41,960 --> 01:20:45,160
Speaker 1: test at eighteen twenty four. I can't keep doing twelves

1419
01:20:45,760 --> 01:20:53,080
Speaker 1: because I forget how it goes thirty six. Yep, there, um,

1420
01:20:53,160 --> 01:20:54,400
Speaker 1: I used to know all the way up to twelve

1421
01:20:54,439 --> 01:21:02,840
Speaker 1: times twelve. So yeah, then they don't teach you beyond that.

1422
01:21:01,960 --> 01:21:05,200
Speaker 1: That's why you're committed Earlier. Earlier, when you were like

1423
01:21:05,439 --> 01:21:08,160
Speaker 1: I would have chosen twelve instead of thirteen. That's the reason.

1424
01:21:08,200 --> 01:21:11,120
Speaker 1: We've just gotten to the root of it. So uh,

1425
01:21:11,240 --> 01:21:14,479
Speaker 1: because I feel like totally anecdotally, but so many other

1426
01:21:14,520 --> 01:21:20,280
Speaker 1: people agree that you get damn. My brother Danny, he

1427
01:21:20,400 --> 01:21:24,559
Speaker 1: runs his moose program. He runs his moose program where he's, oh,

1428
01:21:24,600 --> 01:21:28,599
Speaker 1: he starts eating a moose out a year. He's he's

1429
01:21:28,600 --> 01:21:30,960
Speaker 1: got his moose program and his freezer so that it's

1430
01:21:31,040 --> 01:21:34,960
Speaker 1: offset by a year. So if he kills a bowl

1431
01:21:35,240 --> 01:21:41,840
Speaker 1: in September one, he'll begin consuming that bowl September. He's

1432
01:21:41,920 --> 01:21:45,920
Speaker 1: offset for that reason. He's like, dude, you can't. It's

1433
01:21:45,960 --> 01:21:48,799
Speaker 1: like it just gets it's different when you put it's tender,

1434
01:21:48,800 --> 01:21:50,920
Speaker 1: then it's not tender when I put it in there. Yeah,

1435
01:21:50,960 --> 01:21:53,559
Speaker 1: there's I mean, what's what's taking places sort of twofold.

1436
01:21:53,600 --> 01:21:55,880
Speaker 1: So there's the other form of aging is wet aging,

1437
01:21:56,240 --> 01:21:58,559
Speaker 1: you know, and that's where you bag something, wrap something,

1438
01:21:58,600 --> 01:22:01,040
Speaker 1: and it's sitting in its own blood. And again blood

1439
01:22:01,080 --> 01:22:03,760
Speaker 1: is acidic, so it has its own tender rizing effects.

1440
01:22:03,960 --> 01:22:06,439
Speaker 1: But it's there anyway, that's what I understand. But there anyway,

1441
01:22:06,600 --> 01:22:11,440
Speaker 1: what happens is that freezing and then defrosting ruptures the cells,

1442
01:22:11,439 --> 01:22:14,120
Speaker 1: like ruptures the cell walls of the protein. And so

1443
01:22:14,160 --> 01:22:16,200
Speaker 1: it does have a natural tender rising offense. So if

1444
01:22:16,240 --> 01:22:17,920
Speaker 1: you really wanted to get it, after you unplug your

1445
01:22:17,920 --> 01:22:21,559
Speaker 1: fridge now and then, I mean, actually there's a method

1446
01:22:21,640 --> 01:22:24,240
Speaker 1: and it's okay, I can't believe I'm saying this on

1447
01:22:24,320 --> 01:22:27,280
Speaker 1: meat Eater, because it's a method for tofu, like to

1448
01:22:27,600 --> 01:22:30,880
Speaker 1: change the texture of tofu. And so you'll marinate it,

1449
01:22:31,000 --> 01:22:34,240
Speaker 1: freeze it, defrost it, freeze it defrost it frees it defrosted,

1450
01:22:34,360 --> 01:22:37,840
Speaker 1: and then everything everything. Note it actually does the exact

1451
01:22:38,840 --> 01:22:41,439
Speaker 1: it dns. It makes it much more dense, and after

1452
01:22:41,479 --> 01:22:43,200
Speaker 1: the sixth or seventh time, you end up with something

1453
01:22:43,280 --> 01:22:46,120
Speaker 1: that has the texture of a chicken breast or something

1454
01:22:46,520 --> 01:22:49,639
Speaker 1: like losing water. It's losing water and the in this case,

1455
01:22:49,880 --> 01:22:53,840
Speaker 1: since it's vegetable based, the rigid cell walls of the

1456
01:22:54,160 --> 01:22:57,160
Speaker 1: are actually are rupturing completely. You know, they're not as

1457
01:22:57,200 --> 01:23:00,599
Speaker 1: malleable as meat proteins. So I remember, ever, buddy Steve

1458
01:23:00,680 --> 01:23:04,360
Speaker 1: Jones rode in to tell us Steve Jones from Missouri

1459
01:23:04,960 --> 01:23:07,320
Speaker 1: believe because we're always talking about how like, oh, it

1460
01:23:07,360 --> 01:23:09,920
Speaker 1: doesn't make a difference if you you know thoughts of

1461
01:23:09,960 --> 01:23:15,759
Speaker 1: meat killer nams. But you're saying, well, it does because

1462
01:23:15,760 --> 01:23:18,160
Speaker 1: of what you just explained, where's breaking down the cell walls.

1463
01:23:18,240 --> 01:23:19,880
Speaker 1: So like if you let's just say you did that

1464
01:23:19,920 --> 01:23:24,280
Speaker 1: with a elk backstrap four times, do you think that

1465
01:23:24,280 --> 01:23:27,519
Speaker 1: that elk backstrap is gonna be better or worse for

1466
01:23:27,640 --> 01:23:30,120
Speaker 1: doing water? Yeah, it's gonna shut a lot of water.

1467
01:23:30,280 --> 01:23:32,160
Speaker 1: And so then you run into a risk of like

1468
01:23:32,439 --> 01:23:35,559
Speaker 1: you're you're into that territory of being really worried about

1469
01:23:35,560 --> 01:23:40,439
Speaker 1: freezer burn or almost freeze drying something because you're you know,

1470
01:23:40,479 --> 01:23:42,960
Speaker 1: that's the method of effectively freeze drying is that you're using.

1471
01:23:43,000 --> 01:23:45,080
Speaker 1: It will be dryer when you cook it could It

1472
01:23:45,120 --> 01:23:46,960
Speaker 1: could very well be. You gotta be careful with it,

1473
01:23:46,960 --> 01:23:49,519
Speaker 1: for sure. I want to back up on the hog thing.

1474
01:23:49,680 --> 01:23:52,120
Speaker 1: Maybe feel feel FIL's got time he can just go

1475
01:23:52,200 --> 01:23:57,360
Speaker 1: insert this back where it belongs. I understand, like guys

1476
01:23:57,400 --> 01:23:59,719
Speaker 1: are doing damage control and shooting all kinds of hawks.

1477
01:24:00,000 --> 01:24:01,840
Speaker 1: Totally get their shooting all kinds of hogs, and and

1478
01:24:01,880 --> 01:24:04,800
Speaker 1: they don't have the time or whatever, like they're doing

1479
01:24:04,840 --> 01:24:08,479
Speaker 1: like a job to like do harg control. I'm not

1480
01:24:08,560 --> 01:24:10,960
Speaker 1: saying that they're that you're like bad and not eat them.

1481
01:24:11,479 --> 01:24:13,680
Speaker 1: I just don't say you can't eat them. Correct, Right,

1482
01:24:14,680 --> 01:24:16,360
Speaker 1: Like you're shooting ship loads a hog because there's a

1483
01:24:16,360 --> 01:24:20,200
Speaker 1: hog infestation, You're not gonna then spend it's like eighty

1484
01:24:20,240 --> 01:24:22,600
Speaker 1: degrees out right, you know. It's like, of course, like

1485
01:24:22,640 --> 01:24:26,200
Speaker 1: I get it right, that's ontally gonna happen. But it

1486
01:24:26,240 --> 01:24:28,320
Speaker 1: doesn't mean you can't. And if someone wants one, I

1487
01:24:28,360 --> 01:24:30,200
Speaker 1: feel like you can't. You shouldn't tell them that you

1488
01:24:30,240 --> 01:24:35,439
Speaker 1: can't eat it. Ye. Yeah, because we're shooting two hundred

1489
01:24:35,439 --> 01:24:38,519
Speaker 1: of them. Nobody wants to clean that many of them.

1490
01:24:38,520 --> 01:24:40,320
Speaker 1: That's what it comes down to. I mean, at the

1491
01:24:40,360 --> 01:24:41,840
Speaker 1: end of the day. And don't get me wrong, they

1492
01:24:42,000 --> 01:24:46,880
Speaker 1: vary tremendously from this is clearly a domesticated bloodline that

1493
01:24:46,920 --> 01:24:49,760
Speaker 1: is now feral to this is a truly wild bloodline.

1494
01:24:50,160 --> 01:24:54,320
Speaker 1: Drastic difference in flavor, age, sex, all that kind of stuff,

1495
01:24:54,439 --> 01:24:57,599
Speaker 1: like changes it tremendously, and so I can understand though

1496
01:24:57,800 --> 01:25:00,160
Speaker 1: you know, you mentioned this about castrating the pig. Like

1497
01:25:00,200 --> 01:25:01,960
Speaker 1: one of the tricks that I'd always that I had

1498
01:25:02,000 --> 01:25:03,720
Speaker 1: learned like earlier in my life, is that if you

1499
01:25:03,760 --> 01:25:06,720
Speaker 1: do kill one of these big boares, if you can,

1500
01:25:07,160 --> 01:25:09,880
Speaker 1: if you can, like within the first five minutes of

1501
01:25:09,920 --> 01:25:13,120
Speaker 1: having killed it, cut its nuts off, the meat is

1502
01:25:13,160 --> 01:25:18,720
Speaker 1: significantly better tasting. Really yeah. So and I'm like, I

1503
01:25:18,720 --> 01:25:20,720
Speaker 1: don't even know how that's possible, Like it's heart's not

1504
01:25:20,760 --> 01:25:22,960
Speaker 1: beating anymore, but it seems to make a difference. You know,

1505
01:25:23,240 --> 01:25:24,960
Speaker 1: maybe it's a placebo, but I don't think so. I

1506
01:25:24,960 --> 01:25:26,800
Speaker 1: think it makes a pretty drastic difference in the end

1507
01:25:26,840 --> 01:25:30,320
Speaker 1: flavor of it. So um. Yeah. And when we look

1508
01:25:30,320 --> 01:25:32,400
Speaker 1: we do on the property that I'm that I have

1509
01:25:32,439 --> 01:25:36,559
Speaker 1: in Georgia, we're doing both damage control trying to keep

1510
01:25:36,560 --> 01:25:38,439
Speaker 1: populations in check because they're out of control. I mean,

1511
01:25:38,479 --> 01:25:40,479
Speaker 1: we killed three hundred last year and it did nothing.

1512
01:25:40,680 --> 01:25:44,439
Speaker 1: So um. And so there are days that you just

1513
01:25:44,520 --> 01:25:46,519
Speaker 1: sit you just go down in the morning and you

1514
01:25:46,560 --> 01:25:48,719
Speaker 1: sit in your stand all day long, pack a lunch,

1515
01:25:48,760 --> 01:25:51,160
Speaker 1: and I mean I'll literally just sit there and like

1516
01:25:51,360 --> 01:25:53,519
Speaker 1: you know, watch videos on my phone, and then you

1517
01:25:53,560 --> 01:25:55,960
Speaker 1: just shoot every pig that comes out, you know, and

1518
01:25:55,960 --> 01:25:57,560
Speaker 1: you just like, I mean, you don't get out of

1519
01:25:57,600 --> 01:25:59,640
Speaker 1: your stand. You stay so that more will come, and

1520
01:25:59,640 --> 01:26:02,360
Speaker 1: more we'll coming, because they come to their own dead,

1521
01:26:02,640 --> 01:26:05,000
Speaker 1: like pigs will come to check out the dead pig

1522
01:26:05,120 --> 01:26:08,240
Speaker 1: and eat it. So it's pretty good, you know, chance

1523
01:26:08,280 --> 01:26:10,000
Speaker 1: that they'll be more. And in that case, yet, those

1524
01:26:10,040 --> 01:26:11,719
Speaker 1: ones that you killed earlier in the day are probably

1525
01:26:11,760 --> 01:26:13,320
Speaker 1: not a very good idea for you to be eating.

1526
01:26:13,439 --> 01:26:16,519
Speaker 1: But the idea that you can't eat them is just

1527
01:26:16,680 --> 01:26:20,519
Speaker 1: complete fallacy. And in reality, like especially certain size ones,

1528
01:26:20,800 --> 01:26:22,960
Speaker 1: not only can you eat them. I mean I know

1529
01:26:23,000 --> 01:26:26,360
Speaker 1: this because we serve them at the Saber Tooth dinner

1530
01:26:26,479 --> 01:26:29,479
Speaker 1: last week, and the commentary across the board from everyone

1531
01:26:29,520 --> 01:26:32,960
Speaker 1: who dined there was this just tastes like a much

1532
01:26:33,040 --> 01:26:35,640
Speaker 1: better pork, Like it tastes like pork that's just a

1533
01:26:35,640 --> 01:26:37,720
Speaker 1: lot better than what I can normally get. And you're like, yeah,

1534
01:26:37,760 --> 01:26:40,360
Speaker 1: that's exactly I heard firsthand from a person. I heard

1535
01:26:40,400 --> 01:26:43,960
Speaker 1: firsthand from a person who participated in that dinner. Who

1536
01:26:43,960 --> 01:26:48,559
Speaker 1: did you hear from? Loved it awesome? Good? I mean, honestly,

1537
01:26:48,600 --> 01:26:53,639
Speaker 1: I told this sounds like I'm being exaggertory but private.

1538
01:26:53,960 --> 01:26:56,280
Speaker 1: I think, uh, I think it's one of the best

1539
01:26:56,320 --> 01:26:59,280
Speaker 1: meals I've cooked in twenty plus years of doing this professional.

1540
01:26:59,360 --> 01:27:01,200
Speaker 1: I think you'd agree it was dialed in like we

1541
01:27:01,680 --> 01:27:13,519
Speaker 1: It was good, very good. Uh. Speaking of rotten old

1542
01:27:13,520 --> 01:27:18,080
Speaker 1: Hoggs and culinary awards, We're gonna go out the Mediator

1543
01:27:18,160 --> 01:27:21,120
Speaker 1: Investigates now. So we did our first ever Media Investigates

1544
01:27:21,160 --> 01:27:24,479
Speaker 1: a couple of episodes ago and Katie Hill reported on

1545
01:27:25,920 --> 01:27:28,599
Speaker 1: going on Amazon and finding all kinds of endangered species

1546
01:27:28,600 --> 01:27:31,160
Speaker 1: horns for sale. Right now, we're gonna hear from our

1547
01:27:31,240 --> 01:27:35,120
Speaker 1: very own Maggie Hudlow. Uh. And this you actually went

1548
01:27:35,160 --> 01:27:37,400
Speaker 1: down You went to Florida. I did. Yeah, I went

1549
01:27:37,439 --> 01:27:40,439
Speaker 1: to Tallahassee and what's going on? And tell why? What's

1550
01:27:40,479 --> 01:27:43,640
Speaker 1: going on? Yeah? So it was a rally. It was

1551
01:27:43,680 --> 01:27:50,360
Speaker 1: a lot of fishing guides, truckers, truck fishing guides, folks

1552
01:27:50,400 --> 01:27:53,520
Speaker 1: from the outdoor industry, and it was a rally protesting

1553
01:27:53,680 --> 01:27:59,200
Speaker 1: centate bill to five eight UM. And this was kind

1554
01:27:59,200 --> 01:28:02,360
Speaker 1: of some sneaky politics, is what was going on. And

1555
01:28:02,360 --> 01:28:05,920
Speaker 1: that's why folks were all fired up. UM. And for

1556
01:28:06,000 --> 01:28:10,040
Speaker 1: folks that don't know, Florida has got some serious water issues.

1557
01:28:10,479 --> 01:28:14,840
Speaker 1: I mean last year loan millions of fish washed up

1558
01:28:14,880 --> 01:28:20,479
Speaker 1: on shore from toxic red algae blooms, and uh, everything

1559
01:28:20,640 --> 01:28:26,479
Speaker 1: kind of about Florida's water management issues are it revolves

1560
01:28:26,520 --> 01:28:31,600
Speaker 1: around Okeechobee. Like Okeechobee, and so it used to the

1561
01:28:31,640 --> 01:28:35,559
Speaker 1: water used to flow north south through Okeechobee down through

1562
01:28:35,560 --> 01:28:37,759
Speaker 1: the Everglades through what they called the Sea of Grass

1563
01:28:38,080 --> 01:28:43,160
Speaker 1: and acted acted as this natural filtration system. But they

1564
01:28:43,200 --> 01:28:45,800
Speaker 1: turned that into agg land developed it well, and they

1565
01:28:45,800 --> 01:28:51,000
Speaker 1: had that flood that killed thousand people. Right, it's many

1566
01:28:51,040 --> 01:28:53,000
Speaker 1: thousands of people. How many hell of a flood. I'm

1567
01:28:53,000 --> 01:28:55,880
Speaker 1: gonna look that flood up, Look that up. So they

1568
01:28:56,120 --> 01:28:58,439
Speaker 1: you know, now the now the water is rerouted, and

1569
01:28:58,520 --> 01:29:01,400
Speaker 1: now now they use kind of these dams and these

1570
01:29:02,320 --> 01:29:06,720
Speaker 1: things as as little political ponds to to kind of

1571
01:29:06,920 --> 01:29:10,679
Speaker 1: divert where they want things to go. And so they've

1572
01:29:10,720 --> 01:29:13,960
Speaker 1: been trying to figure out for years now how to

1573
01:29:14,120 --> 01:29:18,400
Speaker 1: deal with Okeechobee because it collects everything that comes down,

1574
01:29:18,479 --> 01:29:21,800
Speaker 1: so it's basically a holding tank and it has the

1575
01:29:21,920 --> 01:29:26,519
Speaker 1: super phosphorus rich water and people still need access to

1576
01:29:26,560 --> 01:29:29,880
Speaker 1: this water. They needed for eggs, they needed just for water,

1577
01:29:30,680 --> 01:29:36,920
Speaker 1: um and it um Oh. Apparently almost two thousand people

1578
01:29:37,000 --> 01:29:43,479
Speaker 1: died in the flood of Okeechobee, Thank you, Sean. And

1579
01:29:43,520 --> 01:29:48,240
Speaker 1: that that inspired, you know, I guess what like a

1580
01:29:48,360 --> 01:29:52,880
Speaker 1: radical overcorrection or helped justify yep. And it was this.

1581
01:29:53,000 --> 01:29:55,320
Speaker 1: It was a huge feat of what they did there.

1582
01:29:55,360 --> 01:29:58,080
Speaker 1: But but then they realized that they have this water

1583
01:29:58,720 --> 01:30:00,160
Speaker 1: and they don't really know what to do with fit

1584
01:30:00,360 --> 01:30:04,599
Speaker 1: because when it goes to the east and west, it's

1585
01:30:04,680 --> 01:30:08,280
Speaker 1: just this super nutrient rich water that's flowing into these

1586
01:30:08,720 --> 01:30:13,559
Speaker 1: very um fragile aquatic ecosystems and they can't handle that.

1587
01:30:13,800 --> 01:30:17,240
Speaker 1: So that's what causes these blue green algae blooms, these

1588
01:30:17,360 --> 01:30:20,519
Speaker 1: um and that's in fresh water, and the red alga blooms,

1589
01:30:21,479 --> 01:30:24,320
Speaker 1: and basically it just kind of eats up all of

1590
01:30:24,560 --> 01:30:28,920
Speaker 1: the all the oxygen in the water, kind of suffocates

1591
01:30:29,240 --> 01:30:32,720
Speaker 1: mo like the pictures you think, like, I mean it's

1592
01:30:32,880 --> 01:30:38,360
Speaker 1: the beach carpeted. Yeah, and dead fish and and huge

1593
01:30:38,439 --> 01:30:42,880
Speaker 1: not just small feeders wash up on the multiple manatees

1594
01:30:43,080 --> 01:30:47,000
Speaker 1: like it's it's a massive killer. So they've been working

1595
01:30:47,040 --> 01:30:51,719
Speaker 1: on addressing this. They've got them the Lake Okachobee Systems

1596
01:30:51,760 --> 01:30:55,040
Speaker 1: Operation Manual is something they've been working on, and that's

1597
01:30:55,080 --> 01:30:57,840
Speaker 1: with the South Florida Water Management District. The Army Corps

1598
01:30:57,760 --> 01:31:00,200
Speaker 1: of Engineers have been working on this. Kind of the

1599
01:31:00,240 --> 01:31:02,960
Speaker 1: best solution they've come up with currently is this e

1600
01:31:03,120 --> 01:31:07,000
Speaker 1: A a reservoir that they're trying to build. So this

1601
01:31:07,040 --> 01:31:10,000
Speaker 1: has been like years in the making. And Captains for

1602
01:31:10,040 --> 01:31:13,840
Speaker 1: Clean Waters, this nonprofit built by um fishing captains that

1603
01:31:13,920 --> 01:31:16,519
Speaker 1: are being affected by this. They've all been working together

1604
01:31:16,560 --> 01:31:18,759
Speaker 1: to come up with a plan to deal with the water.

1605
01:31:19,640 --> 01:31:22,760
Speaker 1: And then on February four, s B two five oh

1606
01:31:22,760 --> 01:31:26,400
Speaker 1: eight comes through, which is a bit budget sorry budget

1607
01:31:26,400 --> 01:31:33,120
Speaker 1: conforming bill uh St State. So this bill has so

1608
01:31:33,200 --> 01:31:36,200
Speaker 1: much stuff crammed into it. I mean it they have

1609
01:31:36,479 --> 01:31:41,280
Speaker 1: like planning on changing who owns a certain park. It's

1610
01:31:41,439 --> 01:31:44,640
Speaker 1: you know, it's they're cramming all this stuff to just

1611
01:31:44,680 --> 01:31:48,719
Speaker 1: push it through. It's it's kind of fast tracking and

1612
01:31:49,200 --> 01:31:53,920
Speaker 1: getting all of these changes made, where previous changes with

1613
01:31:54,000 --> 01:31:56,160
Speaker 1: Okachobe have been like six years in the making and

1614
01:31:56,200 --> 01:31:59,759
Speaker 1: this is like three to four weeks with one period

1615
01:31:59,800 --> 01:32:03,680
Speaker 1: for public input, and all these guides came up for

1616
01:32:03,720 --> 01:32:05,840
Speaker 1: the one period of public input and they're like, hey,

1617
01:32:05,880 --> 01:32:08,160
Speaker 1: we're concerned, we don't really like what you're doing with

1618
01:32:08,200 --> 01:32:11,400
Speaker 1: this bill. It's tying up all this money we have

1619
01:32:11,479 --> 01:32:15,360
Speaker 1: for Everglades restoration. It's basically putting us back to a

1620
01:32:15,720 --> 01:32:20,880
Speaker 1: ninety standpoint of where, um, where we're at with Okeechobee management.

1621
01:32:21,320 --> 01:32:23,160
Speaker 1: And you know, they were trying to raise their voices

1622
01:32:23,200 --> 01:32:26,640
Speaker 1: and the senators basically told them they were misled, they

1623
01:32:26,640 --> 01:32:30,439
Speaker 1: shouldn't be there. Um, there was like no reason to

1624
01:32:30,479 --> 01:32:34,000
Speaker 1: be concerned. Um. So that's why the rally happened, because

1625
01:32:34,040 --> 01:32:36,880
Speaker 1: that was their one point to raise their voices. And

1626
01:32:37,439 --> 01:32:39,720
Speaker 1: many of them drove hours through the night and they

1627
01:32:39,760 --> 01:32:42,080
Speaker 1: had two minutes to talk and they cut them off

1628
01:32:42,120 --> 01:32:44,400
Speaker 1: at thirty seconds or whatever, and we're like, now you

1629
01:32:44,439 --> 01:32:47,920
Speaker 1: don't need to be here, don't worry about this. So

1630
01:32:48,320 --> 01:32:51,840
Speaker 1: they organized the rally kind of behind the scenes and

1631
01:32:51,840 --> 01:32:54,920
Speaker 1: and decided to pull skiffs and boats into the front

1632
01:32:54,920 --> 01:32:58,599
Speaker 1: door of the capital. So it was great, it was

1633
01:32:58,720 --> 01:33:00,840
Speaker 1: It was quite the ordeal, and it was really cool.

1634
01:33:01,200 --> 01:33:03,759
Speaker 1: It's really cool to see all these individuals coming together

1635
01:33:03,840 --> 01:33:06,240
Speaker 1: and like, you know, if you're gonna have backdoor politics,

1636
01:33:06,240 --> 01:33:11,679
Speaker 1: we're gonna parker damn boats on your front lawn. Like no,

1637
01:33:12,120 --> 01:33:14,960
Speaker 1: it wasn't it wasn't that big of a deal. It

1638
01:33:15,040 --> 01:33:18,920
Speaker 1: was pretty pretty well behaved, and uh it was. It

1639
01:33:19,000 --> 01:33:21,760
Speaker 1: was funny when I wrote about this. We were all

1640
01:33:21,800 --> 01:33:25,519
Speaker 1: like everyone was wearing a hat. Like people had suit

1641
01:33:25,640 --> 01:33:27,880
Speaker 1: jackets on and stuff, but like everybody had a hat on.

1642
01:33:27,960 --> 01:33:31,360
Speaker 1: So we're in the Capitol building. You know, everyone's that

1643
01:33:31,400 --> 01:33:33,160
Speaker 1: you can tell spends a lot of time, and they're

1644
01:33:33,200 --> 01:33:34,880
Speaker 1: just clicking around in their high heel shoes and they

1645
01:33:34,880 --> 01:33:37,200
Speaker 1: got their suits on and stuff, and all of us.

1646
01:33:37,280 --> 01:33:39,280
Speaker 1: You know, I was so excited to be warm. I'm

1647
01:33:39,280 --> 01:33:42,240
Speaker 1: wearing like chacos. Everyone's got their fishing shirts on. We

1648
01:33:42,280 --> 01:33:45,920
Speaker 1: all got hats, like, and we're piling into these elevators

1649
01:33:45,920 --> 01:33:49,760
Speaker 1: that yeah, they're the stupidest elevators. They really, And they

1650
01:33:49,800 --> 01:33:51,800
Speaker 1: said they're like, yeah, I'm glad our States spent like

1651
01:33:51,920 --> 01:33:55,599
Speaker 1: fifteen million dollars on this damn elevator system. Some lady

1652
01:33:55,720 --> 01:33:58,479
Speaker 1: kind of like shimmied into this whole group of us

1653
01:33:58,479 --> 01:34:01,040
Speaker 1: in our in our hats, and she's on the phone.

1654
01:34:01,080 --> 01:34:03,240
Speaker 1: She's like, yeah, it's just really busy at the Capitol today.

1655
01:34:03,600 --> 01:34:06,160
Speaker 1: I'm like ten minutes late. I'll be there soon. Got out.

1656
01:34:06,360 --> 01:34:08,719
Speaker 1: It's like yeah, she said, said all these damn hats

1657
01:34:08,720 --> 01:34:12,640
Speaker 1: at the Capitol are making me late, you know. So

1658
01:34:12,720 --> 01:34:15,080
Speaker 1: what what came out of the whole thing? So the

1659
01:34:15,280 --> 01:34:18,599
Speaker 1: night before the rally, they put an amendment on the bill,

1660
01:34:19,200 --> 01:34:24,240
Speaker 1: and that amendment took some of the bad language out,

1661
01:34:24,280 --> 01:34:27,000
Speaker 1: which was it was a huge it was a huge movement.

1662
01:34:27,160 --> 01:34:32,960
Speaker 1: They they clearly they heard the call that UM that

1663
01:34:33,200 --> 01:34:35,679
Speaker 1: Captains for Clean Water had kind of put out there,

1664
01:34:35,720 --> 01:34:40,320
Speaker 1: and they made some changes. But it man sitting in

1665
01:34:40,320 --> 01:34:43,040
Speaker 1: that Senate building, it really just made me realize how

1666
01:34:43,080 --> 01:34:48,519
Speaker 1: important conservation through legislation is because if if they hadn't

1667
01:34:48,640 --> 01:34:51,040
Speaker 1: raised their voices, no one would have and that bill

1668
01:34:51,080 --> 01:34:54,720
Speaker 1: would have just slipped through without any changes made. And

1669
01:34:54,760 --> 01:34:58,720
Speaker 1: they're still there's still needs to be some changes made

1670
01:34:58,720 --> 01:35:02,200
Speaker 1: to that bill. It's going on to be debated between

1671
01:35:02,240 --> 01:35:05,439
Speaker 1: the House and the Senate anytime between tomorrow and Friday.

1672
01:35:05,600 --> 01:35:10,040
Speaker 1: It's not it's not totally solidified yet, but currently there's

1673
01:35:10,080 --> 01:35:17,679
Speaker 1: still um. The entire Everglade restoration budget is basically booby

1674
01:35:17,680 --> 01:35:20,439
Speaker 1: trapped and it's dependent on the passing of this bill.

1675
01:35:20,680 --> 01:35:23,840
Speaker 1: Like if if this bill isn't passed, they don't get

1676
01:35:23,880 --> 01:35:26,960
Speaker 1: that money, and it's like three million dollars, but and

1677
01:35:27,000 --> 01:35:29,040
Speaker 1: then the bill. The language in the bill that is

1678
01:35:29,080 --> 01:35:32,200
Speaker 1: still troublesome to people is that codifies into state law

1679
01:35:33,320 --> 01:35:37,040
Speaker 1: a prioritization of industrial egg water supply South and the

1680
01:35:37,120 --> 01:35:40,519
Speaker 1: Lake over all other users, meaning over fishermen. And that's

1681
01:35:40,560 --> 01:35:43,120
Speaker 1: that big sugar getting that money. And that's kind of

1682
01:35:43,120 --> 01:35:45,360
Speaker 1: who's interesting. You don't sign it, then you don't get

1683
01:35:45,360 --> 01:35:48,080
Speaker 1: any funding. And as you know how I don't want

1684
01:35:48,120 --> 01:35:50,240
Speaker 1: I want to get uh, I want to get the

1685
01:35:50,520 --> 01:35:53,240
Speaker 1: governor to Santis on the show to talk about the Everglades.

1686
01:35:53,600 --> 01:35:57,040
Speaker 1: He's but he's fixing to sign this bill. So this bill,

1687
01:35:57,360 --> 01:36:02,040
Speaker 1: it honestly goes against what Santis stands for because that's

1688
01:36:02,040 --> 01:36:04,960
Speaker 1: what he's like, he's taking like some political heat to

1689
01:36:05,120 --> 01:36:09,240
Speaker 1: be I mean, he describes himself as a Roosevelt conservationist

1690
01:36:09,720 --> 01:36:12,599
Speaker 1: and it's taken some heat about his stance on the Everglades. Then,

1691
01:36:12,600 --> 01:36:14,400
Speaker 1: so I want to have him on to talk about it.

1692
01:36:14,560 --> 01:36:20,000
Speaker 1: But I'm curious, Um is like, where's he at on this?

1693
01:36:20,880 --> 01:36:24,479
Speaker 1: So he's that and that's the whole tricky thing is

1694
01:36:24,560 --> 01:36:27,719
Speaker 1: that he's kind of tied. He's got his hands tied

1695
01:36:27,760 --> 01:36:32,760
Speaker 1: because they put all that Everglades restoration money because it's

1696
01:36:32,760 --> 01:36:36,160
Speaker 1: a budget bill. It's tied up in this that if

1697
01:36:36,160 --> 01:36:40,280
Speaker 1: this bill doesn't get past the Everglades Restoration Fund doesn't

1698
01:36:40,320 --> 01:36:43,120
Speaker 1: get that three dollars, I'd love to have the guy

1699
01:36:43,120 --> 01:36:46,719
Speaker 1: at the show. It still has to go be debated

1700
01:36:46,760 --> 01:36:49,080
Speaker 1: between the House and the Senate this week, and it's

1701
01:36:49,280 --> 01:36:56,639
Speaker 1: because it's such a controversial and complicated topic. It's likely

1702
01:36:57,160 --> 01:36:59,519
Speaker 1: that it's going to go to the Speaker of the

1703
01:36:59,520 --> 01:37:05,280
Speaker 1: House in the President of the Senate, but that's to

1704
01:37:05,360 --> 01:37:10,240
Speaker 1: be decided. And that's also kind of a tricky situation. Um,

1705
01:37:10,280 --> 01:37:13,040
Speaker 1: because the President of the Senate is backing this bill.

1706
01:37:14,120 --> 01:37:21,080
Speaker 1: So it's just being down there and seeing how orchestrated

1707
01:37:21,320 --> 01:37:27,160
Speaker 1: the whole Senate is. It was really uh, I mean

1708
01:37:27,200 --> 01:37:31,160
Speaker 1: they were debating things like, um, what the state dessert

1709
01:37:31,200 --> 01:37:36,400
Speaker 1: should be? That that was apparently a big point of concern.

1710
01:37:36,520 --> 01:37:38,400
Speaker 1: Did they land on key lime pie? That is what

1711
01:37:38,479 --> 01:37:46,679
Speaker 1: it was. Apparently someone wanted strawberry shortcake ruining a good thing. Goodness, idiots, dude,

1712
01:37:46,680 --> 01:37:51,640
Speaker 1: I'd way vote for I'd filibuster for strawberry short They

1713
01:37:51,680 --> 01:37:54,120
Speaker 1: grow strawberries, and I mean Green a plant city, big

1714
01:37:54,160 --> 01:37:56,200
Speaker 1: strawberry growing regions, so they grow a lot of them,

1715
01:37:56,200 --> 01:37:58,479
Speaker 1: But I mean the key line kind of grows in

1716
01:37:58,479 --> 01:38:01,160
Speaker 1: a single place. So see, this is why it's a debate.

1717
01:38:01,240 --> 01:38:03,080
Speaker 1: No one wants to talk about No one wants to

1718
01:38:03,080 --> 01:38:09,960
Speaker 1: talk about water, managements about dessert. So tell me where

1719
01:38:10,000 --> 01:38:13,240
Speaker 1: they go. Send people to your article. Ah, yeah, the

1720
01:38:13,400 --> 01:38:18,200
Speaker 1: article is up on meat eater dot com. It's ah,

1721
01:38:18,360 --> 01:38:20,960
Speaker 1: I mean, do you want me to read the title off? Yeah,

1722
01:38:21,000 --> 01:38:24,519
Speaker 1: it's a hundred plus Florida fishing guys rally at the

1723
01:38:24,560 --> 01:38:28,680
Speaker 1: Capitol to protests bad Everglades legislation and and there's a

1724
01:38:28,720 --> 01:38:31,400
Speaker 1: link at the bottom you can find for or you

1725
01:38:31,439 --> 01:38:34,040
Speaker 1: can just go to Captain's for Clean Water if you wanna,

1726
01:38:34,840 --> 01:38:38,320
Speaker 1: you know, harass some senators. There was one guy spoke

1727
01:38:38,439 --> 01:38:40,160
Speaker 1: up and he was like, God, I got all these

1728
01:38:40,160 --> 01:38:42,400
Speaker 1: emails and they all seem to be coming from the

1729
01:38:42,439 --> 01:38:44,599
Speaker 1: same place, and I don't know what you guys are

1730
01:38:44,600 --> 01:38:46,840
Speaker 1: all so upset about. This is a great bill. So

1731
01:38:46,920 --> 01:38:49,040
Speaker 1: it's like, you know, we gotta keep her ass on them.

1732
01:38:49,360 --> 01:38:52,160
Speaker 1: They're gonna pull stuff like this and try to sneak

1733
01:38:52,280 --> 01:38:57,080
Speaker 1: things that that really deserve contemplation and public input. Like, man,

1734
01:38:57,160 --> 01:38:59,720
Speaker 1: just keep her assing your senators every chance you get,

1735
01:39:01,200 --> 01:39:04,400
Speaker 1: especially on water. Because it seems like water is the

1736
01:39:04,400 --> 01:39:08,600
Speaker 1: thing that always goes bad. It's always the you know,

1737
01:39:09,240 --> 01:39:13,080
Speaker 1: everywhere is a fight over water. It seems absolutely it's

1738
01:39:13,120 --> 01:39:18,320
Speaker 1: a it's a hot commodity these days and always has been. Right, Sean,

1739
01:39:18,439 --> 01:39:32,639
Speaker 1: He's the dark report. Got anything else to shape Shawn's assignment? Yep,

1740
01:39:33,080 --> 01:39:37,240
Speaker 1: wasn't an assignment. Well, it was an expansion of what

1741
01:39:37,320 --> 01:39:39,640
Speaker 1: we were talking about last time. So last time we

1742
01:39:39,680 --> 01:39:45,679
Speaker 1: had talked about age demographics and sex ratios, and part

1743
01:39:45,680 --> 01:39:49,360
Speaker 1: of the sex ratios is that hens are getting whacked

1744
01:39:49,360 --> 01:39:52,680
Speaker 1: on nests and that there's just less hens than there

1745
01:39:52,760 --> 01:39:55,720
Speaker 1: is drake's and they have a lower you know, we

1746
01:39:55,760 --> 01:39:57,800
Speaker 1: had talked about how long they live. Well, hens have

1747
01:39:57,800 --> 01:40:02,200
Speaker 1: a shorter lifespan. Comes back to that's a predator story.

1748
01:40:02,560 --> 01:40:04,880
Speaker 1: So I wanted to talk a little bit about predators.

1749
01:40:05,280 --> 01:40:10,599
Speaker 1: Got it because we got into the skewed ratios. Yeah, yep, uh,

1750
01:40:10,640 --> 01:40:13,080
Speaker 1: you know, a hen mallard might live a year and

1751
01:40:13,120 --> 01:40:16,320
Speaker 1: ten months and or you know, year nine months, and

1752
01:40:16,320 --> 01:40:18,920
Speaker 1: a Drake mallard would live two years. And over time,

1753
01:40:19,120 --> 01:40:23,000
Speaker 1: since the nineteen eighties, that's led to a divergence of

1754
01:40:23,080 --> 01:40:26,840
Speaker 1: that there are just way more drakes than Hence why

1755
01:40:26,920 --> 01:40:33,800
Speaker 1: that is is um well as Delta Waterfowl talks about

1756
01:40:34,040 --> 01:40:38,400
Speaker 1: and has researched, it's that there are just more predators

1757
01:40:38,720 --> 01:40:42,800
Speaker 1: now and that since the nineteen eighties, we've seen this

1758
01:40:43,160 --> 01:40:48,519
Speaker 1: kind of uh, a growth of predator populations and a

1759
01:40:48,960 --> 01:40:52,840
Speaker 1: increase in the divergence of the sex ratio because low

1760
01:40:52,880 --> 01:40:57,640
Speaker 1: fur prices, bro low fur prices yep. And like I

1761
01:40:57,680 --> 01:40:59,639
Speaker 1: want to start off with saying that this is not

1762
01:41:00,000 --> 01:41:05,400
Speaker 1: just started really popular Parker company and put into help ducks. Yeah,

1763
01:41:05,479 --> 01:41:08,720
Speaker 1: put like fur trim on the collar. Can you imagine

1764
01:41:09,040 --> 01:41:11,200
Speaker 1: we can maybe do that as part of our like

1765
01:41:12,439 --> 01:41:19,000
Speaker 1: first light line Hunter sourced uh into this idea. So

1766
01:41:21,920 --> 01:41:25,360
Speaker 1: I wanna like preface this with this isn't just wipe

1767
01:41:25,360 --> 01:41:29,400
Speaker 1: out all predators. Oh yeah, of course. Yeah, but we've

1768
01:41:29,439 --> 01:41:33,120
Speaker 1: had this, We've had this diver or we've had over

1769
01:41:33,200 --> 01:41:36,360
Speaker 1: time a change of the landscape of what the predator

1770
01:41:36,439 --> 01:41:42,840
Speaker 1: population looks like. You know, before before agriculture and before settlement,

1771
01:41:42,960 --> 01:41:46,240
Speaker 1: we had wolves and bears and no egg and as

1772
01:41:47,040 --> 01:41:49,320
Speaker 1: you know, we did two things. Really, we came through

1773
01:41:49,439 --> 01:41:52,759
Speaker 1: we wiped out bears and wolves, and then we brought

1774
01:41:52,880 --> 01:41:56,720
Speaker 1: agriculture and grain everywhere and that's allowed the meso predators,

1775
01:41:56,720 --> 01:42:03,200
Speaker 1: the mid sized predators like raccoons and skunks. Awesome's grinners, yep, grinned.

1776
01:42:04,120 --> 01:42:10,840
Speaker 1: We we've we've came through and disproportionately enabled those populations.

1777
01:42:11,000 --> 01:42:15,000
Speaker 1: Really and up until the nineteen eighties, we at least

1778
01:42:15,000 --> 01:42:19,599
Speaker 1: had trapping to kind of keep those numbers down, and

1779
01:42:19,720 --> 01:42:23,960
Speaker 1: since then less and less trappers and a even more

1780
01:42:24,600 --> 01:42:31,040
Speaker 1: like prominent growth of those populations. To actually talk about,

1781
01:42:31,680 --> 01:42:36,240
Speaker 1: like how much we've influenced those populations. North Dakota up

1782
01:42:36,320 --> 01:42:41,960
Speaker 1: until the nineteen fifties didn't even recognize or like, uh,

1783
01:42:43,200 --> 01:42:46,479
Speaker 1: there was no written record of raccoons being a North

1784
01:42:46,560 --> 01:42:53,480
Speaker 1: Dakota animal. And then now there dispersed all across the prairie. Uh,

1785
01:42:53,640 --> 01:42:57,240
Speaker 1: when delta waterfowl or you know, in those old trapping

1786
01:42:57,240 --> 01:43:00,519
Speaker 1: records they were zero percent catch. There was no trappers

1787
01:43:00,560 --> 01:43:04,200
Speaker 1: catching raccoons on the North Dakota prairie. Now delta waterfowl,

1788
01:43:04,439 --> 01:43:06,759
Speaker 1: depending on the year, they're either their number one catch

1789
01:43:07,160 --> 01:43:11,800
Speaker 1: or they're their second most catch on their North Dakota prairie. Um,

1790
01:43:11,840 --> 01:43:15,439
Speaker 1: so you've that like really puts a button on how

1791
01:43:16,800 --> 01:43:21,240
Speaker 1: these predators are spreading into areas that they weren't traditionally, uh,

1792
01:43:21,439 --> 01:43:26,640
Speaker 1: delta waterfowls trappers of what they catch are skunks and raccoons,

1793
01:43:27,360 --> 01:43:31,280
Speaker 1: and those are kind of public enemy number one, so

1794
01:43:31,320 --> 01:43:35,400
Speaker 1: to speak. On duck eggs, it's interesting to see if

1795
01:43:35,439 --> 01:43:37,840
Speaker 1: you ever looked at maps of the spread of raccoons

1796
01:43:37,840 --> 01:43:42,320
Speaker 1: and apossums. Really, I haven't seen actual map, but yeah,

1797
01:43:42,439 --> 01:43:44,840
Speaker 1: I'm oh, I can imagine. I mean they, I mean

1798
01:43:45,080 --> 01:43:49,080
Speaker 1: the apostomies to be like a southeastern US animal, and

1799
01:43:49,520 --> 01:43:52,600
Speaker 1: raccoons just a Riparian animal. You know what else is

1800
01:43:52,680 --> 01:43:55,479
Speaker 1: spread that you wouldn't expect is um the have Alina

1801
01:43:56,360 --> 01:44:00,360
Speaker 1: mm yeah, really expanding expanding north The Halinas have been

1802
01:44:00,360 --> 01:44:04,880
Speaker 1: expanding northward like in historic times? Is it? Is it agriculture?

1803
01:44:05,400 --> 01:44:06,799
Speaker 1: I don't know what that. I don't know what that happening.

1804
01:44:06,960 --> 01:44:09,840
Speaker 1: Things linked to I think the possums and raccoons is

1805
01:44:09,880 --> 01:44:15,040
Speaker 1: like climate egg elimination of big predators. Yeah, yeah, there's

1806
01:44:15,840 --> 01:44:18,639
Speaker 1: there's definitely no big predators to keep them in check.

1807
01:44:19,080 --> 01:44:22,880
Speaker 1: You know, somewhat coyotes can a little bit. But but

1808
01:44:22,960 --> 01:44:25,080
Speaker 1: then even like even like I mean, we did so

1809
01:44:25,160 --> 01:44:27,559
Speaker 1: much damage to gray horned owls and other things that

1810
01:44:27,560 --> 01:44:31,760
Speaker 1: would kill them, you know, yeah. Yeah, and to actually

1811
01:44:32,720 --> 01:44:36,120
Speaker 1: put into perspective how many of those animals are on

1812
01:44:36,160 --> 01:44:39,880
Speaker 1: the landscape a six mile by six mile block for

1813
01:44:39,960 --> 01:44:44,479
Speaker 1: a Delta trapper, they're catching three hundred of these meso

1814
01:44:44,520 --> 01:44:49,679
Speaker 1: predators a year, which just for a township. Yeah, Which

1815
01:44:49,720 --> 01:44:54,160
Speaker 1: it's incredible. It's hard to comprehend how there's egg in

1816
01:44:54,200 --> 01:44:56,720
Speaker 1: an area that ever hatches. Where are they doing there? Like,

1817
01:44:56,760 --> 01:44:59,160
Speaker 1: how are they determined where to do their work? Yeah,

1818
01:44:59,240 --> 01:45:03,439
Speaker 1: so that's a really in interesting thing. Delta waterfowl is

1819
01:45:05,439 --> 01:45:09,240
Speaker 1: they are focusing their trapping, so they've got contract trappers

1820
01:45:09,320 --> 01:45:11,400
Speaker 1: and that's part of their mission. Sorry, just because I

1821
01:45:11,400 --> 01:45:14,080
Speaker 1: mean it would be helpful for me for everybody, you

1822
01:45:14,120 --> 01:45:17,000
Speaker 1: just tell me what is Delta waterfowl? Yeah? So Delta

1823
01:45:17,040 --> 01:45:22,360
Speaker 1: Waterfowl is one of the two major duck conservation organizations, right,

1824
01:45:22,640 --> 01:45:28,000
Speaker 1: Ducks Unlimited being the one everyone historically is recognized. Ducks

1825
01:45:28,080 --> 01:45:31,040
Speaker 1: Limited and Delta are both very important. You hear more

1826
01:45:31,080 --> 01:45:33,559
Speaker 1: and more and more about Delta waterfowl all the time

1827
01:45:33,760 --> 01:45:36,200
Speaker 1: to do more and more work. Yeah, for sure. And

1828
01:45:36,320 --> 01:45:38,360
Speaker 1: I remember like it SE's like, you know, do you

1829
01:45:38,400 --> 01:45:40,240
Speaker 1: just grow up with right? Yeah? I remember being like

1830
01:45:40,280 --> 01:45:43,200
Speaker 1: what Delta warfalls like I don't go a week now

1831
01:45:43,200 --> 01:45:47,080
Speaker 1: without hearing about something Delta Waterfall does. And and part

1832
01:45:47,080 --> 01:45:49,280
Speaker 1: of that is that they just have they have the

1833
01:45:49,320 --> 01:45:52,160
Speaker 1: same end goal, right, but they have a different mission

1834
01:45:52,200 --> 01:45:56,000
Speaker 1: path to get there. Ducks Unlimited is more habitat focused,

1835
01:45:56,520 --> 01:45:59,840
Speaker 1: and they preserve ship loads of wetlands. Yes, and ducks

1836
01:45:59,840 --> 01:46:04,439
Speaker 1: on limited like is absolutely fundamentally important to you know,

1837
01:46:04,920 --> 01:46:07,720
Speaker 1: keeping a lot of wetlands intact for a hundred years,

1838
01:46:07,760 --> 01:46:11,519
Speaker 1: two hundred years like take they like raise money, cape

1839
01:46:11,560 --> 01:46:15,000
Speaker 1: money by wetlands, preserve it, usually turn it over. Usually

1840
01:46:15,000 --> 01:46:19,040
Speaker 1: all becomes public honey grown. Ye. Phenomenal group, oh for sure.

1841
01:46:19,400 --> 01:46:23,920
Speaker 1: Delta waterfowl their mission is okay, we have some wetlands

1842
01:46:23,920 --> 01:46:27,320
Speaker 1: out there and some grasslands out there that we've gone

1843
01:46:27,320 --> 01:46:30,679
Speaker 1: and preserved, but they're not producing ducks. And the reason

1844
01:46:30,720 --> 01:46:34,799
Speaker 1: they're not producing ducks is, you know, one of the

1845
01:46:34,840 --> 01:46:39,960
Speaker 1: reasons is predation. And so Delta Waterfowl is a really

1846
01:46:40,000 --> 01:46:45,920
Speaker 1: cool um method to the madness on how they pick

1847
01:46:46,240 --> 01:46:51,080
Speaker 1: where they where they trapped. So they have to have

1848
01:46:51,439 --> 01:46:54,599
Speaker 1: they're looking for high volume areas meaning there's a lot

1849
01:46:54,600 --> 01:47:01,000
Speaker 1: of ducks but low grassland percentage, so are ideal place

1850
01:47:01,080 --> 01:47:04,160
Speaker 1: to go. Trap is a place that has sixty two

1851
01:47:04,320 --> 01:47:09,040
Speaker 1: hundred nesting pairs of ducks using the area using a

1852
01:47:09,080 --> 01:47:16,439
Speaker 1: square mile UM. But then that area is less than

1853
01:47:16,479 --> 01:47:20,160
Speaker 1: ten percent grass. And you find a lot of that,

1854
01:47:20,760 --> 01:47:23,400
Speaker 1: you know, across South Dakota North Dakota, right where you

1855
01:47:23,439 --> 01:47:27,840
Speaker 1: have a CRP patch next to a wetland that's not

1856
01:47:27,960 --> 01:47:31,920
Speaker 1: productive ground and it's surrounded on all sides by agriculture. Well,

1857
01:47:31,960 --> 01:47:34,800
Speaker 1: those ducks really will key in on that like low

1858
01:47:34,960 --> 01:47:38,960
Speaker 1: lying nonproductive ground to a farmer, and you end up

1859
01:47:39,000 --> 01:47:43,080
Speaker 1: with high densities of breeding pairs there, but they're surrounded

1860
01:47:43,120 --> 01:47:46,599
Speaker 1: on all sides by you know, corn or wheat or whatever,

1861
01:47:47,240 --> 01:47:50,320
Speaker 1: and so you end up with this area of the

1862
01:47:50,400 --> 01:47:54,439
Speaker 1: ducks are on an island of grassland, so to speak,

1863
01:47:54,800 --> 01:47:56,840
Speaker 1: and they end up with a bunch of predators coming

1864
01:47:56,880 --> 01:48:01,320
Speaker 1: in and and raiding those nests um. To kind of

1865
01:48:01,360 --> 01:48:05,759
Speaker 1: put into perspective how bad that predation is on those nests.

1866
01:48:07,000 --> 01:48:10,479
Speaker 1: Delta Waterfowl did a four year study in Manitoba that

1867
01:48:10,720 --> 01:48:15,000
Speaker 1: over four years those areas that were not trapped had

1868
01:48:15,040 --> 01:48:19,559
Speaker 1: a two percent nest success. And nest uh success is

1869
01:48:19,600 --> 01:48:25,200
Speaker 1: not like, oh the whole nest hatched, one egg counts

1870
01:48:25,240 --> 01:48:30,000
Speaker 1: his nest success and so one duck is a successful nest,

1871
01:48:30,960 --> 01:48:37,120
Speaker 1: so only two even had a duck is wild and

1872
01:48:37,160 --> 01:48:42,720
Speaker 1: then the areas that were trapped were success. Yeah, so

1873
01:48:42,800 --> 01:48:45,840
Speaker 1: it like it helps, it matters. And they did the

1874
01:48:45,960 --> 01:48:50,559
Speaker 1: similar study in North Dakota. Um, North Dakota doesn't quite

1875
01:48:50,600 --> 01:48:56,080
Speaker 1: have the same predator problem like that area of Manitoba does,

1876
01:48:56,439 --> 01:49:04,200
Speaker 1: but uh not trap nest success, but thirty success on trap.

1877
01:49:04,840 --> 01:49:08,680
Speaker 1: So if you can key in on those areas that like,

1878
01:49:08,760 --> 01:49:13,599
Speaker 1: it really can impact duck you know, duck production for sure.

1879
01:49:14,360 --> 01:49:17,759
Speaker 1: And you know it's not just that these predators killed ducks.

1880
01:49:17,840 --> 01:49:22,520
Speaker 1: I mean, there's everything likes the duck and duck eggs.

1881
01:49:22,560 --> 01:49:27,200
Speaker 1: But the another population of animals that has exploded that's

1882
01:49:27,240 --> 01:49:33,960
Speaker 1: really interesting is the like corvids and ravens, really crows. Yeah,

1883
01:49:34,160 --> 01:49:37,680
Speaker 1: so there's more of those around, not just more a

1884
01:49:37,840 --> 01:49:42,479
Speaker 1: six hundred percent increase in thirty years. Yeah, and they

1885
01:49:42,479 --> 01:49:46,240
Speaker 1: say the great attributed to what. When I asked that question,

1886
01:49:46,320 --> 01:49:49,240
Speaker 1: it seemed more like it was conjecture, expert conjecture, but

1887
01:49:49,360 --> 01:49:53,559
Speaker 1: also like more access to road kill, grain fields like

1888
01:49:53,680 --> 01:49:55,840
Speaker 1: all you know, I mean, think of the amount of

1889
01:49:55,880 --> 01:49:59,760
Speaker 1: stuff that we just kill that lays everywhere. But but

1890
01:49:59,840 --> 01:50:01,840
Speaker 1: you saying, here's the weird. The weird part about it

1891
01:50:01,840 --> 01:50:04,559
Speaker 1: is you get like you're talking over thirty years. Okay,

1892
01:50:04,720 --> 01:50:06,360
Speaker 1: So if you look at the big the great fur

1893
01:50:06,520 --> 01:50:09,639
Speaker 1: boom of like seventy eight to eighty two or eighty

1894
01:50:09,640 --> 01:50:15,200
Speaker 1: four whatever, one like every mezo predator on the planet

1895
01:50:15,200 --> 01:50:18,720
Speaker 1: would encounter a steel trap every night between November one

1896
01:50:18,880 --> 01:50:23,000
Speaker 1: and December thirty one those days, and you're like, there's

1897
01:50:23,040 --> 01:50:26,760
Speaker 1: like an event, right, there's an event that had a

1898
01:50:26,840 --> 01:50:29,519
Speaker 1: sort of like concrete end to it. If you get

1899
01:50:29,560 --> 01:50:32,000
Speaker 1: into magpies, you're not coming out of that, and you

1900
01:50:32,040 --> 01:50:35,320
Speaker 1: could be like, there's more stuff to scavenge perhaps, but

1901
01:50:35,360 --> 01:50:37,160
Speaker 1: then you'd be like, well since what well, since we

1902
01:50:37,320 --> 01:50:42,040
Speaker 1: lost our like large scavengers. Right, so you lose bears whatever,

1903
01:50:42,720 --> 01:50:48,280
Speaker 1: you lose lions and stuff, um or raptors whatever. But

1904
01:50:48,320 --> 01:50:50,920
Speaker 1: like I don't get like the like why over, Like

1905
01:50:50,920 --> 01:50:53,160
Speaker 1: I don't get like what could have happened in thirty years.

1906
01:50:53,240 --> 01:50:54,439
Speaker 1: I mean, I know people there used to be like,

1907
01:50:54,479 --> 01:50:57,080
Speaker 1: I have a book in my library of hunting books. Um,

1908
01:50:57,439 --> 01:50:59,000
Speaker 1: that makes it sound like a little warned. It is

1909
01:50:59,080 --> 01:51:01,400
Speaker 1: I have a show off with sm old ass hunting books.

1910
01:51:01,439 --> 01:51:05,120
Speaker 1: I have a book like how to Hunt crows hard cover. Yeah,

1911
01:51:05,240 --> 01:51:08,840
Speaker 1: people were, people were waging war on Corvid's for a

1912
01:51:08,840 --> 01:51:11,000
Speaker 1: while there. I mean they were. That's got you with you.

1913
01:51:11,160 --> 01:51:13,120
Speaker 1: I wonder if that was like the event down the

1914
01:51:13,200 --> 01:51:16,400
Speaker 1: magpie and the crow and the raven populations. So I

1915
01:51:16,439 --> 01:51:19,559
Speaker 1: wonder if it's just like seeing the rebound from that. Yeah,

1916
01:51:19,560 --> 01:51:22,519
Speaker 1: and you can't Canada. You're still i think allowed to

1917
01:51:23,160 --> 01:51:25,559
Speaker 1: at least in parts of Canada that they kind of

1918
01:51:25,680 --> 01:51:29,120
Speaker 1: still wageing war on ravens, but not you know, not

1919
01:51:29,240 --> 01:51:32,920
Speaker 1: the US and uh Dr Nikola I was talking about

1920
01:51:32,920 --> 01:51:36,040
Speaker 1: how the Great Basin over in Nevada, like that whole

1921
01:51:36,880 --> 01:51:42,120
Speaker 1: base in Marsh area. Um, it's like they don't even

1922
01:51:42,160 --> 01:51:45,559
Speaker 1: have a number for the increase of corvitt populations there.

1923
01:51:45,640 --> 01:51:50,160
Speaker 1: It's way more. And my kids and I like to

1924
01:51:50,160 --> 01:51:54,320
Speaker 1: set out our predator caller put it on crow flying,

1925
01:51:54,479 --> 01:51:56,120
Speaker 1: let's put it out in the yard. You can't do

1926
01:51:56,120 --> 01:51:57,559
Speaker 1: it too much. You can only do it like they

1927
01:51:57,600 --> 01:52:02,040
Speaker 1: figured it out pretty quick. Um, and we turned it

1928
01:52:02,080 --> 01:52:04,479
Speaker 1: on yesterday and didn't get any crowls. But holy ship,

1929
01:52:04,600 --> 01:52:12,360
Speaker 1: the magpies really, oh my god, fire up on cral

1930
01:52:12,439 --> 01:52:16,720
Speaker 1: fight m hmm. They were riled up. Well, you know

1931
01:52:16,800 --> 01:52:20,120
Speaker 1: we we protect all those populations, right, they don't have

1932
01:52:20,200 --> 01:52:25,040
Speaker 1: anything wiping them out. What what what percent increase six

1933
01:52:25,920 --> 01:52:30,120
Speaker 1: increase in thirty years and that's incredible. Yeah, I had

1934
01:52:30,280 --> 01:52:34,200
Speaker 1: Joel Brides from Delta. He he was like when they

1935
01:52:34,720 --> 01:52:38,880
Speaker 1: when those ravens really get on duck eggs, they are

1936
01:52:38,960 --> 01:52:43,000
Speaker 1: hell on him and he sent a picture that is unbelievable.

1937
01:52:43,240 --> 01:52:46,519
Speaker 1: It's gotta be a hundred eggs that a raven had

1938
01:52:46,600 --> 01:52:49,680
Speaker 1: cashed on top of a bunch of old Yep, that's

1939
01:52:49,720 --> 01:52:51,160
Speaker 1: a bunch of I'm looking at the picture. I don't

1940
01:52:51,160 --> 01:52:53,960
Speaker 1: know what I was looking at. That's a raven's cache

1941
01:52:54,040 --> 01:52:57,960
Speaker 1: of eggs. He eight and just sits on those railroad ties,

1942
01:52:57,960 --> 01:53:03,599
Speaker 1: goes and picks duck eggs, so you know every carries back.

1943
01:53:05,720 --> 01:53:08,639
Speaker 1: It's pretty impressive really when you think about how many

1944
01:53:08,920 --> 01:53:12,200
Speaker 1: eggs they can eat. And you know there's everything else

1945
01:53:12,240 --> 01:53:15,360
Speaker 1: too that eats them, snakes and whatever else. Pretty much

1946
01:53:15,400 --> 01:53:17,880
Speaker 1: everything wants to eat ducks and ducks eggs. But yeah,

1947
01:53:17,880 --> 01:53:20,240
Speaker 1: we're looking at a picture here there's of mink on

1948
01:53:20,280 --> 01:53:23,840
Speaker 1: a nest, a raccoon on a nest, and a really

1949
01:53:23,840 --> 01:53:28,519
Speaker 1: cute picture of Kyoe just sniffing around like fixing to

1950
01:53:28,680 --> 01:53:35,680
Speaker 1: eat all the eggs. Yeah, and there's they have so

1951
01:53:35,760 --> 01:53:40,920
Speaker 1: much more to this whole uh, to all the research

1952
01:53:41,000 --> 01:53:45,479
Speaker 1: they've done and what they're doing to try to I

1953
01:53:45,479 --> 01:53:49,720
Speaker 1: guess bring people like into the fold on understanding how

1954
01:53:49,760 --> 01:53:53,200
Speaker 1: we can make how we can make more use of

1955
01:53:53,200 --> 01:53:56,320
Speaker 1: the land we have. Right, we want more CRP, but

1956
01:53:56,360 --> 01:53:58,880
Speaker 1: we would also like to be more productive with the

1957
01:53:58,880 --> 01:54:03,479
Speaker 1: CRP we have. And you've seen it, and I tell

1958
01:54:03,520 --> 01:54:07,840
Speaker 1: people this all the time, like get an electronic call

1959
01:54:08,120 --> 01:54:11,800
Speaker 1: with a coon fight sound on it and February March

1960
01:54:11,840 --> 01:54:13,599
Speaker 1: when you're not sure what else you should be out doing,

1961
01:54:13,840 --> 01:54:16,080
Speaker 1: Like that's about as much. But you gotta set it

1962
01:54:16,120 --> 01:54:20,040
Speaker 1: on a coon tree, yeah, or or you know a

1963
01:54:20,120 --> 01:54:24,040
Speaker 1: culvert or a brush pile like this railroad tie pile here.

1964
01:54:24,280 --> 01:54:27,880
Speaker 1: Oh that's a good perfect Yeah. Hit people with that

1965
01:54:27,960 --> 01:54:33,480
Speaker 1: stat on snakes man. Yeah. So uh. Dr Nikolai, same

1966
01:54:33,520 --> 01:54:37,040
Speaker 1: guy from Delta Waterfowl. He was working on the Mississippi

1967
01:54:37,120 --> 01:54:42,560
Speaker 1: River in eight They were putting, uh, they were putting

1968
01:54:42,640 --> 01:54:46,880
Speaker 1: radios on ducklings that right as they hatch, they slip

1969
01:54:46,920 --> 01:54:50,240
Speaker 1: a radio under their skin and then put them back

1970
01:54:50,280 --> 01:54:53,920
Speaker 1: with mama. And they had caught and killed a snake

1971
01:54:54,560 --> 01:55:00,200
Speaker 1: that when they cut it open, eight radios so had

1972
01:55:00,280 --> 01:55:04,920
Speaker 1: wiped out a whole nest of ducklings. My kid was

1973
01:55:04,960 --> 01:55:06,560
Speaker 1: telling me the other day. He was in school, he's

1974
01:55:06,600 --> 01:55:10,040
Speaker 1: in sixth grade. They had a substitute teacher, he says,

1975
01:55:09,920 --> 01:55:12,720
Speaker 1: a really old man. And the old man said, I'm

1976
01:55:12,760 --> 01:55:17,120
Speaker 1: just gonna tell stories. I'm not going to teach. This

1977
01:55:17,120 --> 01:55:18,840
Speaker 1: is like when they couldn't get any teachers because of

1978
01:55:20,560 --> 01:55:22,400
Speaker 1: And my kid told me the story. The old man

1979
01:55:22,480 --> 01:55:24,840
Speaker 1: told him that he told a story that when he

1980
01:55:24,960 --> 01:55:27,440
Speaker 1: was a a kid, he went out into the handhouse

1981
01:55:27,840 --> 01:55:30,280
Speaker 1: and there was a snake in there, and they had

1982
01:55:30,320 --> 01:55:34,120
Speaker 1: big bulges in his body. So he took his machete

1983
01:55:34,600 --> 01:55:37,960
Speaker 1: and cut the snake in half and squeezed the eggs

1984
01:55:38,000 --> 01:55:39,840
Speaker 1: back out of it and put him back in the

1985
01:55:39,920 --> 01:55:50,160
Speaker 1: nest and they all hatched successfully. Okay, that's loves this guy.

1986
01:55:51,640 --> 01:55:55,720
Speaker 1: I want him to tell me stories. Yeah, no, that's so,

1987
01:55:56,000 --> 01:56:00,600
Speaker 1: you know, long story short, Like I think the whole

1988
01:56:00,640 --> 01:56:03,760
Speaker 1: the whole predator thing is it would be nice for

1989
01:56:03,800 --> 01:56:06,160
Speaker 1: people to kill some more, that's for sure. Yeah, you

1990
01:56:06,160 --> 01:56:09,320
Speaker 1: know what, I could just picture that. I agree. I

1991
01:56:09,360 --> 01:56:11,280
Speaker 1: can picture of the counter argument. Well, why are you

1992
01:56:11,320 --> 01:56:14,480
Speaker 1: prioritizing lots of ducks over lots of raccoons. It's not

1993
01:56:14,560 --> 01:56:18,080
Speaker 1: that you're just prioritizing lots of ducks over lots of raccoons.

1994
01:56:18,200 --> 01:56:22,360
Speaker 1: It's that we ourselves had the unnatural impact. Like these

1995
01:56:22,360 --> 01:56:26,320
Speaker 1: are not what meso predator populations should look like, these

1996
01:56:26,320 --> 01:56:29,440
Speaker 1: are out of whack, and they're not. It's not because

1997
01:56:29,440 --> 01:56:32,840
Speaker 1: all of a sudden the raccoon became so much more

1998
01:56:32,840 --> 01:56:37,080
Speaker 1: of a productive animal. It's because we had a you know,

1999
01:56:37,400 --> 01:56:43,760
Speaker 1: false influence the anthropos to speak on these populations. Uh,

2000
01:56:43,840 --> 01:56:47,280
Speaker 1: can I plug inside kids in an outdoor Outdoor Kids

2001
01:56:47,320 --> 01:56:50,600
Speaker 1: in an Inside World, which releases in May. You can

2002
01:56:50,600 --> 01:56:53,280
Speaker 1: pre order nonal ship. Well, not only that, Phil, Phil

2003
01:56:53,280 --> 01:56:54,800
Speaker 1: came back me up on this. I just spent three

2004
01:56:54,880 --> 01:56:58,000
Speaker 1: days sitting right here and did the whole audiobook. Yeah,

2005
01:56:58,040 --> 01:57:04,440
Speaker 1: you had a whole bag of lozenges, and oh, how

2006
01:57:04,480 --> 01:57:06,840
Speaker 1: do you keep you? That's that's the trick. The first

2007
01:57:06,920 --> 01:57:10,000
Speaker 1: day was hard, and I went home feeling not good.

2008
01:57:10,280 --> 01:57:12,160
Speaker 1: And then I then I then, like the same way

2009
01:57:12,200 --> 01:57:14,200
Speaker 1: you build up muscles, like you build up six pack,

2010
01:57:14,880 --> 01:57:18,200
Speaker 1: I built up like a throat six I'm not sure

2011
01:57:19,040 --> 01:57:21,000
Speaker 1: I built up I built up a six pack in

2012
01:57:21,080 --> 01:57:23,120
Speaker 1: my throat and by the end of the thing, I

2013
01:57:23,160 --> 01:57:27,400
Speaker 1: could have kept going um either way. In it, I

2014
01:57:27,480 --> 01:57:30,640
Speaker 1: like explore with with with how did like with kids

2015
01:57:30,680 --> 01:57:33,080
Speaker 1: around nature. I'm not saying that I like, I have

2016
01:57:33,120 --> 01:57:35,840
Speaker 1: a lot of experience now, I'm I'm saying I'm like

2017
01:57:35,840 --> 01:57:37,840
Speaker 1: I'm right or wrong on everything. But I've had like

2018
01:57:37,880 --> 01:57:39,520
Speaker 1: three kids and the oldest ones eleven, so I've been

2019
01:57:39,520 --> 01:57:41,040
Speaker 1: at it a while. I've been around a lot of kids.

2020
01:57:41,320 --> 01:57:43,560
Speaker 1: I talked about like the perils with kids of like

2021
01:57:43,960 --> 01:57:51,600
Speaker 1: looking down at nature. That's gross, right, And the perils

2022
01:57:51,600 --> 01:57:54,960
Speaker 1: of like looking up at it too much that they're

2023
01:57:55,000 --> 01:57:59,440
Speaker 1: sort of like that they shouldn't touch nature, right, that

2024
01:57:59,560 --> 01:58:02,880
Speaker 1: we're gross, Like we're the bad ones, and going near

2025
01:58:02,920 --> 01:58:04,240
Speaker 1: it is like it's best to look at it out

2026
01:58:04,240 --> 01:58:07,000
Speaker 1: the window and the Yellowstone right, Like don't go into it.

2027
01:58:07,040 --> 01:58:09,680
Speaker 1: You spoil it when you're into it. Uh. And I

2028
01:58:09,760 --> 01:58:13,600
Speaker 1: talked about the just this concept of like like humans

2029
01:58:13,640 --> 01:58:17,280
Speaker 1: are in this game. There is no now pretending that

2030
01:58:17,320 --> 01:58:21,440
Speaker 1: we're not in this thing, Like we have created conservation

2031
01:58:21,480 --> 01:58:26,640
Speaker 1: dependent species for sure, Like we've created like we have

2032
01:58:26,760 --> 01:58:29,440
Speaker 1: created a situation where a lot of the things that

2033
01:58:29,480 --> 01:58:33,839
Speaker 1: we enjoy and want to have around. They're now around.

2034
01:58:33,840 --> 01:58:37,839
Speaker 1: They're not around in spite of us, Like they're around

2035
01:58:37,920 --> 01:58:41,640
Speaker 1: because of us at this point, because of something we did. Yeah,

2036
01:58:41,680 --> 01:58:43,600
Speaker 1: but it'd be painful to see ducks get to a

2037
01:58:43,600 --> 01:58:47,680
Speaker 1: point where they're conservation dependent, right where if you just

2038
01:58:47,720 --> 01:58:50,000
Speaker 1: walked away and let the whole thing take care of itself,

2039
01:58:50,200 --> 01:58:54,120
Speaker 1: considering what we've done that, I don't know, do they

2040
01:58:54,120 --> 01:58:57,280
Speaker 1: blink out. I mean they don't. They wouldn't blink out,

2041
01:58:57,280 --> 01:58:59,360
Speaker 1: but it might not wouldn't look anywhere nearly as good

2042
01:58:59,400 --> 01:59:02,600
Speaker 1: as it does if you're involved, for sure. And you

2043
01:59:02,640 --> 01:59:06,520
Speaker 1: see you see that separation even by flyway in North

2044
01:59:06,560 --> 01:59:10,480
Speaker 1: America right where you have the Atlantic Flyway, Um, like

2045
01:59:10,600 --> 01:59:13,800
Speaker 1: really you know, kind of struggling with bird populations and

2046
01:59:13,880 --> 01:59:17,240
Speaker 1: other areas doing better and other species doing better, and

2047
01:59:17,280 --> 01:59:21,240
Speaker 1: you realize just how much we're affecting that and influencing that.

2048
01:59:21,600 --> 01:59:26,280
Speaker 1: Like snow geese in the Mid continent population are doing

2049
01:59:26,320 --> 01:59:28,680
Speaker 1: so well. Why are they doing so well? Well? It's

2050
01:59:29,240 --> 01:59:32,880
Speaker 1: very much so human influence. It's very much us providing

2051
01:59:33,600 --> 01:59:37,640
Speaker 1: these calorie rich grains all along their flyway. And yeah,

2052
01:59:37,680 --> 01:59:41,880
Speaker 1: you can't, like you just can't deny that, Like we

2053
01:59:41,920 --> 01:59:47,120
Speaker 1: have a major influence on their population, their food, their predation,

2054
01:59:47,320 --> 01:59:51,160
Speaker 1: like the whole the whole bit that we might influence

2055
01:59:51,280 --> 01:59:54,760
Speaker 1: ducks like as much as any other at least as

2056
01:59:54,800 --> 01:59:58,720
Speaker 1: much as the white tailed deer. Like. Are these guys

2057
01:59:58,720 --> 02:00:01,280
Speaker 1: that are doing these things they they're obviously not shy

2058
02:00:01,320 --> 02:00:03,960
Speaker 1: about talking about it. Are they afraid of catching ship

2059
02:00:03,960 --> 02:00:10,640
Speaker 1: with the animal rights people? Um? Not from my understanding, Like,

2060
02:00:11,080 --> 02:00:13,600
Speaker 1: I mean, they obviously are more interested in ducks than

2061
02:00:13,600 --> 02:00:16,240
Speaker 1: the R and p R. Yeah, and I also think

2062
02:00:16,320 --> 02:00:20,480
Speaker 1: that they like they can make that sound argument like

2063
02:00:20,600 --> 02:00:24,280
Speaker 1: this is not this is not natural either too. Do

2064
02:00:24,280 --> 02:00:26,040
Speaker 1: you think that you could talk to these fellers? Would

2065
02:00:26,040 --> 02:00:28,880
Speaker 1: they ever let someone come along with them? Oh? Yeah, yeah,

2066
02:00:28,880 --> 02:00:32,280
Speaker 1: they want they want us to join up. And uh,

2067
02:00:32,480 --> 02:00:35,480
Speaker 1: they have a specific way they like to trap for

2068
02:00:36,560 --> 02:00:41,640
Speaker 1: nest success in like in comparison to fur trapping. So

2069
02:00:42,040 --> 02:00:43,760
Speaker 1: you can probably learn a thing or two. Go run

2070
02:00:43,760 --> 02:00:46,560
Speaker 1: around in North Dakota, do a little trapping. But that

2071
02:00:46,680 --> 02:00:51,960
Speaker 1: you know what karian, Okay, that's called producing right there.

2072
02:00:52,000 --> 02:00:53,840
Speaker 1: I'd like to know. I'd like to know what one

2073
02:00:53,840 --> 02:01:00,760
Speaker 1: of them trappers makes annually. You know this gig doesn't work? Yeah,

2074
02:01:00,760 --> 02:01:02,080
Speaker 1: I feel like because there I would be like, you

2075
02:01:02,120 --> 02:01:06,360
Speaker 1: know what, I'm really making a difference every day in

2076
02:01:06,440 --> 02:01:09,879
Speaker 1: case that not just Hollywood and around that Werner Blade

2077
02:01:09,920 --> 02:01:12,640
Speaker 1: thing doesn't pan out, that ends up being too big

2078
02:01:12,680 --> 02:01:23,840
Speaker 1: an investment, trapping bankrupts and meat eater between that, Sean,

2079
02:01:23,880 --> 02:01:26,680
Speaker 1: that was a good dark report. What happens next, I

2080
02:01:26,680 --> 02:01:28,320
Speaker 1: don't know. I gotta think on that one. I'm not

2081
02:01:28,360 --> 02:01:33,000
Speaker 1: sure what I'm sex. I think I think on the

2082
02:01:33,040 --> 02:01:35,400
Speaker 1: next one, I want to go talk to the boys

2083
02:01:35,440 --> 02:01:38,000
Speaker 1: at Osborne Labs and they're the ones doing a lot

2084
02:01:38,040 --> 02:01:41,680
Speaker 1: of that GPS backpack work. And we had mentioned last

2085
02:01:41,720 --> 02:01:45,520
Speaker 1: time about what are the what is the odometer on

2086
02:01:45,560 --> 02:01:48,720
Speaker 1: these ducks? Look like, well, they're the guys with that information,

2087
02:01:49,480 --> 02:01:52,280
Speaker 1: so I think that'd be pretty cool there. Then was

2088
02:01:52,360 --> 02:01:56,520
Speaker 1: after that, I don't know, I got a story for

2089
02:01:56,560 --> 02:01:59,800
Speaker 1: you for the duck report. He's already in the typing

2090
02:01:59,800 --> 02:02:05,640
Speaker 1: because position I got you you ready, Um, what led

2091
02:02:05,760 --> 02:02:07,960
Speaker 1: up to the lead band and what were the results?

2092
02:02:08,800 --> 02:02:12,000
Speaker 1: Oh that's a good one, very good. Yeah, like that.

2093
02:02:12,040 --> 02:02:13,320
Speaker 1: I like that one. I want to hear. That's a

2094
02:02:13,320 --> 02:02:18,800
Speaker 1: good one. People. I was people. I came. I started

2095
02:02:18,880 --> 02:02:21,360
Speaker 1: duck hunting, like became a legal duck hunter in the

2096
02:02:21,400 --> 02:02:24,200
Speaker 1: aftermath of that, there were people who quit hunting. They

2097
02:02:24,240 --> 02:02:26,480
Speaker 1: probably weren't like die Hard anyway. There are people who

2098
02:02:26,480 --> 02:02:30,000
Speaker 1: are like out of protests, quit hunting ducks. Oh yeah,

2099
02:02:30,160 --> 02:02:33,600
Speaker 1: when the lead band came. It's very You can go

2100
02:02:33,680 --> 02:02:37,280
Speaker 1: dig through the forums from like ten fifteen years ago,

2101
02:02:37,320 --> 02:02:39,960
Speaker 1: when you know, when internet forums are a big deal

2102
02:02:40,240 --> 02:02:43,200
Speaker 1: and there's those guys that can't help themselves or like

2103
02:02:43,240 --> 02:02:48,360
Speaker 1: I haven't hunted ducks since whatever. Uh, but they're there

2104
02:02:48,360 --> 02:02:52,520
Speaker 1: on a waterfowl forum, like you must have really really

2105
02:02:52,600 --> 02:02:56,720
Speaker 1: like duck hunting. Yeah tomorrow. If they were like, Okay,

2106
02:02:56,760 --> 02:02:59,240
Speaker 1: you can't use steal, you gotta use bizmouth, I'd be like,

2107
02:02:59,400 --> 02:03:02,880
Speaker 1: all right, but I have a I have a request.

2108
02:03:03,080 --> 02:03:06,400
Speaker 1: It was one of Clay's uh episodes. I can't remember

2109
02:03:06,400 --> 02:03:09,640
Speaker 1: what he was talking about, Timber reservoir stuff, yeah, but

2110
02:03:09,640 --> 02:03:12,720
Speaker 1: it was something about migration because he was talking to

2111
02:03:12,800 --> 02:03:16,400
Speaker 1: an ornithologist that was explaining about how some of the

2112
02:03:16,520 --> 02:03:19,240
Speaker 1: ducks and I'll never forget this. I was telling Karna,

2113
02:03:19,280 --> 02:03:21,080
Speaker 1: which that because I heard I was selling karma, which

2114
02:03:21,160 --> 02:03:24,000
Speaker 1: is have an ordin mythologist on this show, but about

2115
02:03:24,040 --> 02:03:26,240
Speaker 1: how he thinks that some of these ducks that are

2116
02:03:26,280 --> 02:03:30,280
Speaker 1: flying down the center of our continent heading south. Then

2117
02:03:30,280 --> 02:03:33,680
Speaker 1: in one ear they can hear the Pacific, and then

2118
02:03:33,760 --> 02:03:36,000
Speaker 1: in the left ear that they can hear the Atlantic,

2119
02:03:36,480 --> 02:03:39,800
Speaker 1: and then on and then on their horizon, the stars

2120
02:03:39,840 --> 02:03:42,800
Speaker 1: that they're looking at are not moving because of the

2121
02:03:42,840 --> 02:03:45,280
Speaker 1: way that the world spends amongst the stars. The stars

2122
02:03:45,280 --> 02:03:47,640
Speaker 1: above them move, but the ones on the horizon that

2123
02:03:47,640 --> 02:03:50,720
Speaker 1: they're looking to don't move. And just like all that

2124
02:03:51,240 --> 02:03:55,000
Speaker 1: was like that, he feels that they are literally sensing

2125
02:03:55,040 --> 02:03:57,800
Speaker 1: oceans on either side of them, and they know which

2126
02:03:57,800 --> 02:04:00,200
Speaker 1: one it is, and that's how they get from point

2127
02:04:00,200 --> 02:04:01,720
Speaker 1: at a point B there. I don't know about that,

2128
02:04:01,760 --> 02:04:03,720
Speaker 1: but I like the idea for I like the idea

2129
02:04:03,800 --> 02:04:05,360
Speaker 1: for Duck report. How do they know where they're at?

2130
02:04:05,760 --> 02:04:08,200
Speaker 1: There's some really good stuff on that I've already done

2131
02:04:08,200 --> 02:04:11,320
Speaker 1: some of the least. You got four Duck reports. You

2132
02:04:11,400 --> 02:04:15,040
Speaker 1: got the odometer, Osborne Labs got what led up to

2133
02:04:15,040 --> 02:04:20,120
Speaker 1: the lead band and what happened after. You got the

2134
02:04:20,200 --> 02:04:25,000
Speaker 1: yanniest thing about how they could feel the oceans. We're

2135
02:04:25,040 --> 02:04:27,720
Speaker 1: set for a few months here, Duck Special Power. How

2136
02:04:27,760 --> 02:04:29,680
Speaker 1: often do we do a Sean's Duck Report. We're doing

2137
02:04:29,720 --> 02:04:33,720
Speaker 1: them once a month right now. Thirty years done. Oh man,

2138
02:04:33,800 --> 02:04:36,240
Speaker 1: I have the best idea for a little musical bit

2139
02:04:36,880 --> 02:04:42,480
Speaker 1: for Sean's Dark Report Ducktails. Oh yeah, I'm feeling alright.

2140
02:04:42,520 --> 02:04:47,920
Speaker 1: Everybody go up, I don't know, go pre order Outdoor

2141
02:04:48,000 --> 02:04:49,720
Speaker 1: Kids an Inside World. If you have kids or you

2142
02:04:49,720 --> 02:04:54,080
Speaker 1: know someone who's fixing two already does get all your

2143
02:04:54,120 --> 02:04:56,040
Speaker 1: questions answered? How old would my kids be before I

2144
02:04:56,040 --> 02:04:59,000
Speaker 1: give him a gun? What happens if the kids he's

2145
02:04:59,040 --> 02:05:02,840
Speaker 1: a deer die and he's real? All those questions? Why

2146
02:05:02,840 --> 02:05:07,360
Speaker 1: did those make mess? Camping? And if you don't have kids,

2147
02:05:07,400 --> 02:05:12,240
Speaker 1: download Rut Yeah, or download Rut and in Purson you'll

2148
02:05:12,240 --> 02:05:14,720
Speaker 1: have kids. They don't need the book. We get them coming,

2149
02:05:14,760 --> 02:05:17,200
Speaker 1: we get them what if we do it here? It's

2150
02:05:17,240 --> 02:05:21,920
Speaker 1: called vertical integration show aybody, thanks for joining Philip Father.

2151
02:05:22,200 --> 02:05:37,440
Speaker 1: Song to the Guys song Time Ye Stay, Time Stays Good?

2152
02:05:37,560 --> 02:05:47,080
Speaker 1: Why no kiss thy good? Why why they kiss? Why?

2153
02:05:47,400 --> 02:05:55,800
Speaker 1: Guy while I kiss this? Why? Why kiss us? Why?

2154
02:06:01,960 --> 02:06:09,080
Speaker 1: People taken by these