1
00:00:04,280 --> 00:00:04,800
Speaker 1: Smell us.

2
00:00:04,800 --> 00:00:09,960
Speaker 2: Now, welcome to Meet Eater Trivia podcast.

3
00:00:26,520 --> 00:00:29,920
Speaker 3: Welcome to Meet Eater Radio Live. It's eleven am Mountain Time.

4
00:00:30,280 --> 00:00:33,640
Speaker 3: That's noon o'clock for our friends in Forest City, Iowa

5
00:00:34,120 --> 00:00:36,480
Speaker 3: on Thursday, April third, and we'd live for Meet Eater

6
00:00:36,680 --> 00:00:39,600
Speaker 3: HQ and BOS of Montana. I'm your host, Spencer Newarth,

7
00:00:39,680 --> 00:00:43,680
Speaker 3: joined today by Jannis Putellis and Seth Morris. On today's show,

8
00:00:43,680 --> 00:00:48,440
Speaker 3: we'll interview Justin Everettson about the new world record cottonwood tree,

9
00:00:48,640 --> 00:00:51,479
Speaker 3: followed by one minute fishing with our friends at Trout Unlimited.

10
00:00:51,800 --> 00:00:54,400
Speaker 3: After that we'll find out how much Giannis and Seth

11
00:00:54,520 --> 00:00:57,480
Speaker 3: know about their fellow outdoorsman with a game of meat poll.

12
00:00:57,840 --> 00:01:00,760
Speaker 3: And finally we'll talk to Jim Heffelfinger about the addition

13
00:01:00,840 --> 00:01:03,720
Speaker 3: of a new species to the Boone and Crockett record books.

14
00:01:04,080 --> 00:01:06,240
Speaker 3: Now I shouted out Forest City, Iowa. There that's where

15
00:01:06,240 --> 00:01:08,240
Speaker 3: I went on my bachelor party. Back in the day,

16
00:01:08,240 --> 00:01:10,320
Speaker 3: they had a music festival. I think it still goes on.

17
00:01:11,120 --> 00:01:13,440
Speaker 3: It's like a three day music festival. That's what I

18
00:01:13,440 --> 00:01:14,639
Speaker 3: did for my bachelor party.

19
00:01:14,680 --> 00:01:15,559
Speaker 1: What kind of music?

20
00:01:15,880 --> 00:01:18,759
Speaker 3: It's primarily country, so like the headliners when I went

21
00:01:18,840 --> 00:01:22,560
Speaker 3: Alan Jackson, Big and Rich Thomas Rhett one of the

22
00:01:22,840 --> 00:01:26,600
Speaker 3: surprising bands there. Phil You'll like this. I think was

23
00:01:26,680 --> 00:01:29,080
Speaker 3: lit because it was right around when they decided to

24
00:01:29,160 --> 00:01:31,839
Speaker 3: drop a country album. They were one hit pop punk

25
00:01:32,680 --> 00:01:36,200
Speaker 3: wonder from the nineties, and then I don't know, like

26
00:01:36,240 --> 00:01:38,880
Speaker 3: ten years ago, they're like, hey, maybe we'd try country music.

27
00:01:39,319 --> 00:01:40,039
Speaker 1: Was it good?

28
00:01:40,280 --> 00:01:41,160
Speaker 3: Was there country music?

29
00:01:41,200 --> 00:01:42,280
Speaker 1: Good country album?

30
00:01:42,360 --> 00:01:44,480
Speaker 3: No? So like at a music festival there'll be like

31
00:01:44,480 --> 00:01:46,559
Speaker 3: an A stage, B stage of C stage. They didn't

32
00:01:46,600 --> 00:01:48,000
Speaker 3: get on the B stage. I think they were a

33
00:01:48,000 --> 00:01:50,400
Speaker 3: C stage act. Gotcha, Yeah, Jehanny, what did you do

34
00:01:50,440 --> 00:01:54,600
Speaker 3: for your was that seventeen twenty seventeen? I think, yeah,

35
00:01:54,840 --> 00:01:56,240
Speaker 3: what did you do for your bachelor party?

36
00:01:57,200 --> 00:02:02,280
Speaker 1: What party was in two thousand? We?

37
00:02:02,440 --> 00:02:05,480
Speaker 2: Uh, we had some troubles with the bachelor party. Not

38
00:02:05,600 --> 00:02:08,080
Speaker 2: the kind of troubles you're thinking about and see where

39
00:02:08,080 --> 00:02:12,160
Speaker 2: you're going. I wasn't really going to go conventional bachelor party.

40
00:02:12,560 --> 00:02:14,040
Speaker 3: But what would be conventional?

41
00:02:15,280 --> 00:02:17,519
Speaker 2: Well, these days it seems like you go to Nashville

42
00:02:17,560 --> 00:02:19,680
Speaker 2: and walk around and get drunk and you know, see

43
00:02:19,680 --> 00:02:24,280
Speaker 2: some hear some music, eat some barbecue, and I don't know,

44
00:02:24,880 --> 00:02:27,720
Speaker 2: you know, you probably hit on gals you could be

45
00:02:27,800 --> 00:02:29,560
Speaker 2: not supposed to be, that's my guess.

46
00:02:30,520 --> 00:02:30,560
Speaker 4: No.

47
00:02:30,720 --> 00:02:35,040
Speaker 2: We we got married at my wife's parents' house, which

48
00:02:35,080 --> 00:02:39,959
Speaker 2: is in Morehead City, North Carolina, and great fishing there,

49
00:02:40,000 --> 00:02:41,960
Speaker 2: and so we thought we would go fishing, and so

50
00:02:42,000 --> 00:02:45,760
Speaker 2: we uh sort of got a you know, a little

51
00:02:45,760 --> 00:02:48,720
Speaker 2: poll about who wanted to go. I think we had

52
00:02:48,919 --> 00:02:51,960
Speaker 2: two or three boats booked. I want to say the

53
00:02:52,000 --> 00:02:53,480
Speaker 2: one boat was Miss Stacy.

54
00:02:54,720 --> 00:02:55,920
Speaker 3: Is that a boat I should know about?

55
00:02:56,040 --> 00:02:57,120
Speaker 1: No, No, I just.

56
00:02:57,080 --> 00:02:58,679
Speaker 2: Want to give those guys a shout out if they're

57
00:02:58,680 --> 00:03:01,760
Speaker 2: still if there's still, you know, twenty some years later.

58
00:03:01,880 --> 00:03:05,359
Speaker 2: But the day we were gonna do it, we get

59
00:03:05,400 --> 00:03:08,280
Speaker 2: a call from the captain and he's like, man, I

60
00:03:08,400 --> 00:03:12,639
Speaker 2: don't do this often, but unless you guys are some

61
00:03:12,919 --> 00:03:16,560
Speaker 2: just seagoing mariners sons of bitches, you guys don't want

62
00:03:16,560 --> 00:03:17,120
Speaker 2: to go today.

63
00:03:17,160 --> 00:03:22,680
Speaker 1: It's gonna be rough. And we're like, you're right, I like,

64
00:03:23,080 --> 00:03:25,160
Speaker 1: I like, the only person to pib be fine would

65
00:03:25,200 --> 00:03:25,840
Speaker 1: be my wife.

66
00:03:27,639 --> 00:03:30,400
Speaker 2: That was another way we weren't going to go traditional

67
00:03:30,560 --> 00:03:32,240
Speaker 2: is it was going to be just like a group

68
00:03:32,440 --> 00:03:35,000
Speaker 2: kind of a party thing, you know. And so I

69
00:03:35,040 --> 00:03:38,240
Speaker 2: had cousins, friends, a lot of people in town, and uh,

70
00:03:38,960 --> 00:03:41,080
Speaker 2: he's like, all right, good call. I'm like, well, let's

71
00:03:41,080 --> 00:03:43,640
Speaker 2: try to do it afterwards in a couple of days

72
00:03:43,680 --> 00:03:47,360
Speaker 2: after the wedding, excuse me. And sure enough, that night

73
00:03:47,440 --> 00:03:50,880
Speaker 2: that we canceled, we end up at a bar doing

74
00:03:50,920 --> 00:03:55,560
Speaker 2: some traditional okay type stuff. It's just a bunch of

75
00:03:55,560 --> 00:03:58,880
Speaker 2: people hanging out, playing pool and drinking and uh. We

76
00:03:59,000 --> 00:04:02,160
Speaker 2: run into a mate that was gonna be on one

77
00:04:02,160 --> 00:04:05,400
Speaker 2: of those charter boats and he's like, man, everybody canceled,

78
00:04:05,400 --> 00:04:07,280
Speaker 2: but me and a couple of the captains went out.

79
00:04:07,600 --> 00:04:09,360
Speaker 1: Holy shit, we crushed them.

80
00:04:09,400 --> 00:04:11,840
Speaker 2: Of course, you know. He's like, he's like, man, it

81
00:04:11,920 --> 00:04:14,040
Speaker 2: was so bad. He's like, almost got sick crush. What

82
00:04:14,840 --> 00:04:15,680
Speaker 2: mostly dolphin?

83
00:04:16,880 --> 00:04:17,000
Speaker 5: Is that?

84
00:04:17,000 --> 00:04:18,560
Speaker 1: If I remember, I don't know what else they caused?

85
00:04:18,640 --> 00:04:19,280
Speaker 1: Mostly dolphin.

86
00:04:19,680 --> 00:04:22,320
Speaker 2: But we had a smaller group, just one boat go

87
00:04:22,440 --> 00:04:25,080
Speaker 2: out on the misstacy, like two or three days after

88
00:04:25,120 --> 00:04:28,680
Speaker 2: the wedding, people that were still in town. And we

89
00:04:28,720 --> 00:04:31,279
Speaker 2: did pretty good too, you know, enough to have you know,

90
00:04:31,320 --> 00:04:33,960
Speaker 2: everybody went home with a small cooler full of dolphin.

91
00:04:34,240 --> 00:04:35,800
Speaker 3: Seth, what'd you do on your bachelor party?

92
00:04:35,880 --> 00:04:37,320
Speaker 1: I didn't really have a bachelor party.

93
00:04:37,600 --> 00:04:40,520
Speaker 3: Well, there was like a kind of a low key

94
00:04:40,560 --> 00:04:41,320
Speaker 3: party in your house.

95
00:04:41,400 --> 00:04:42,280
Speaker 1: Yeah, there was. There was.

96
00:04:42,320 --> 00:04:44,880
Speaker 3: It was like a yeah chess he was making beer,

97
00:04:44,920 --> 00:04:46,040
Speaker 3: brought Yeah, it was.

98
00:04:45,960 --> 00:04:50,240
Speaker 1: Just like a little get together in the evening. I

99
00:04:50,240 --> 00:04:52,320
Speaker 1: don't even remember exactly when it was, but it wasn't

100
00:04:52,360 --> 00:04:57,159
Speaker 1: like some like, you know, monumental bachelor party.

101
00:04:57,240 --> 00:05:00,320
Speaker 3: I remember standing around your Walleye boat a lot though. Yeah,

102
00:05:00,480 --> 00:05:03,240
Speaker 3: we should throw you a bachelor party. I'm down, man, Phil.

103
00:05:03,240 --> 00:05:04,520
Speaker 3: What did you do for your bachelor party?

104
00:05:04,560 --> 00:05:05,359
Speaker 1: Absolutely nothing?

105
00:05:05,440 --> 00:05:08,320
Speaker 3: Well, okay, we got two bachelors. You boys. Come up

106
00:05:08,360 --> 00:05:11,560
Speaker 3: with a squad theme for your the Seth and Phil

107
00:05:11,640 --> 00:05:12,400
Speaker 3: bachelor party.

108
00:05:12,480 --> 00:05:15,160
Speaker 6: Yeah, I would love to see where that ven diagram crosses.

109
00:05:15,440 --> 00:05:16,960
Speaker 1: I'll go to a tiki bar, Phil.

110
00:05:17,520 --> 00:05:21,760
Speaker 3: Yeah, whileye fishing by day, tiki barring by way.

111
00:05:22,560 --> 00:05:25,040
Speaker 1: It sounds like a pretty fun day. Sounds like a

112
00:05:25,040 --> 00:05:25,920
Speaker 1: country song.

113
00:05:27,080 --> 00:05:31,920
Speaker 3: A bad one, like an Alan Jackson country song. Him

114
00:05:31,960 --> 00:05:32,760
Speaker 3: and Jimmy, Jimmy.

115
00:05:33,040 --> 00:05:35,440
Speaker 2: It just depends on who writes it, you know. Maybe

116
00:05:35,560 --> 00:05:39,120
Speaker 2: throw that Brown band they like that genre, Throw that

117
00:05:39,160 --> 00:05:41,359
Speaker 2: bone to the Isabel Brothers.

118
00:05:41,400 --> 00:05:42,320
Speaker 1: They might be made.

119
00:05:44,320 --> 00:05:46,400
Speaker 3: Seth, you just got home from right you were in

120
00:05:46,440 --> 00:05:49,160
Speaker 3: Florida and Texas. Florida and Texas, I mean Turkey's died

121
00:05:49,200 --> 00:05:49,840
Speaker 3: on those trips.

122
00:05:50,839 --> 00:05:54,200
Speaker 1: Two in Florida, me and my wife, and then uh

123
00:05:54,320 --> 00:05:57,719
Speaker 1: three died in Texas. Steve got two and uh we're

124
00:05:57,720 --> 00:05:59,159
Speaker 1: down there with Luke Combs and Ego one.

125
00:05:59,320 --> 00:06:01,200
Speaker 3: So you pulled the true bigger once. I pulled the

126
00:06:01,200 --> 00:06:01,760
Speaker 3: trigger once.

127
00:06:01,800 --> 00:06:02,000
Speaker 1: Yep.

128
00:06:02,040 --> 00:06:06,400
Speaker 3: How was Florida? What were you hunting? Easterns or Osciola Oola?

129
00:06:06,560 --> 00:06:11,240
Speaker 1: Yep, Florida was amazing. We got an invite from a

130
00:06:11,279 --> 00:06:14,800
Speaker 1: guy that commissioned Kelsey to do some artwork for him

131
00:06:14,839 --> 00:06:17,800
Speaker 1: back in the day, and uh, he's been inviting us

132
00:06:17,800 --> 00:06:19,440
Speaker 1: to go down there for years and we finally took

133
00:06:19,520 --> 00:06:20,240
Speaker 1: him up on the offer.

134
00:06:20,360 --> 00:06:21,120
Speaker 3: What kind of artwork?

135
00:06:21,440 --> 00:06:27,840
Speaker 1: Uh, just uh dog portraits. So yeah, we went down

136
00:06:27,880 --> 00:06:31,520
Speaker 1: there and he's part owner of this like awesome hunting

137
00:06:31,560 --> 00:06:35,560
Speaker 1: club and the the property is just like totally set

138
00:06:35,640 --> 00:06:39,680
Speaker 1: up for epic hunting and full of turkeys. And yeah,

139
00:06:39,800 --> 00:06:42,560
Speaker 1: we we ended up Kelsey end up missing a turkey

140
00:06:42,600 --> 00:06:45,520
Speaker 1: on the first morning, and then that that evening, Uh

141
00:06:46,360 --> 00:06:47,440
Speaker 1: called two in and we.

142
00:06:47,440 --> 00:06:49,560
Speaker 3: Doubled up first Acola for you.

143
00:06:49,680 --> 00:06:49,920
Speaker 1: Yep.

144
00:06:50,080 --> 00:06:53,680
Speaker 3: How did that compare to the rest of the subspecies

145
00:06:53,680 --> 00:06:54,360
Speaker 3: that you've killed?

146
00:06:54,480 --> 00:06:57,440
Speaker 1: Well, they don't gobble much. They got a lot on

147
00:06:57,440 --> 00:06:59,560
Speaker 1: the trick on the limb, but they fly down and

148
00:06:59,560 --> 00:07:03,039
Speaker 1: shut up, and that was It's like not my favorite

149
00:07:03,040 --> 00:07:04,839
Speaker 1: style of turkey hunting where you just got to sit

150
00:07:04,880 --> 00:07:09,279
Speaker 1: there forever and wait for him, but still super cool.

151
00:07:09,480 --> 00:07:11,840
Speaker 3: Like are they notorious for long spurs?

152
00:07:12,280 --> 00:07:12,880
Speaker 1: You sent them?

153
00:07:12,920 --> 00:07:15,120
Speaker 3: And did you like take notice of that or did

154
00:07:15,160 --> 00:07:16,200
Speaker 3: you look like any other birds?

155
00:07:16,280 --> 00:07:19,120
Speaker 1: Kelsey's were inch and a half, oh man, and mine

156
00:07:19,120 --> 00:07:23,480
Speaker 1: were inch in a quarter and razors too, Yeah, razor sharp.

157
00:07:23,520 --> 00:07:25,320
Speaker 1: They'll mess you up if you're not care if.

158
00:07:25,280 --> 00:07:25,840
Speaker 3: They were big.

159
00:07:26,200 --> 00:07:29,600
Speaker 1: They're super cool birds. Yeah, and just how much though

160
00:07:29,600 --> 00:07:32,640
Speaker 1: they're kind of screw Mine was seventeen, Kelsey's was twenty one.

161
00:07:33,440 --> 00:07:37,240
Speaker 3: Twenty one, that's a half. It's like a corn fed turkey.

162
00:07:37,360 --> 00:07:39,280
Speaker 1: Yeah, it was a big one. I was surprised.

163
00:07:39,400 --> 00:07:42,240
Speaker 3: Yeah, okay, but have you cooked anything yet with these

164
00:07:42,280 --> 00:07:44,200
Speaker 3: Aussie older birds any different?

165
00:07:44,240 --> 00:07:47,200
Speaker 1: We did some schnitzel two nights ago, but no, it

166
00:07:47,240 --> 00:07:48,920
Speaker 1: was just like normal schnitzel.

167
00:07:49,440 --> 00:07:52,080
Speaker 3: Okay, seth on the board first. Then I think you

168
00:07:52,080 --> 00:07:55,440
Speaker 3: probably killed the turkey before Yanni this year, right, maybe

169
00:07:55,440 --> 00:07:56,240
Speaker 3: the first in the crew.

170
00:07:56,480 --> 00:08:00,640
Speaker 1: It might be maybe day was it? Uh that get

171
00:08:00,680 --> 00:08:03,520
Speaker 1: to square it away. Let's see mark the title at

172
00:08:03,520 --> 00:08:06,880
Speaker 1: stake here. Uh, what it was like two weeks ago?

173
00:08:07,320 --> 00:08:09,680
Speaker 3: Two weeks ago. That was way before Johanni, No, it.

174
00:08:09,640 --> 00:08:12,200
Speaker 1: Was before you went to I think it was before

175
00:08:12,200 --> 00:08:15,160
Speaker 1: you went to Texas. I killed mine on the fifteenth

176
00:08:16,400 --> 00:08:16,920
Speaker 1: of March.

177
00:08:17,480 --> 00:08:19,960
Speaker 3: Oh, we'll do some date check.

178
00:08:20,040 --> 00:08:22,520
Speaker 1: Oh you know what, you might be earlier than us,

179
00:08:22,920 --> 00:08:25,920
Speaker 1: because I think we were seventeenth through the twenty. First,

180
00:08:25,960 --> 00:08:27,600
Speaker 1: all right, you're rooting for Soeth.

181
00:08:27,680 --> 00:08:29,080
Speaker 3: I was rooting for Seth. Yeah.

182
00:08:29,480 --> 00:08:30,960
Speaker 1: Sorry, Seth's Spencer.

183
00:08:31,120 --> 00:08:33,840
Speaker 3: All right, let's get on with the show. Joining us

184
00:08:33,920 --> 00:08:38,079
Speaker 3: on the line first is Justin Everettson, the green infrastructure

185
00:08:38,120 --> 00:08:41,480
Speaker 3: coordinator from the University of Nebraska. He's here to talk

186
00:08:41,520 --> 00:08:44,480
Speaker 3: about the new world record cottonwood that hails from the

187
00:08:44,480 --> 00:08:46,959
Speaker 3: Cornhusker state. Justin, Welcome to the show.

188
00:08:47,600 --> 00:08:49,400
Speaker 7: Yeah, hi guys, thanks for having me.

189
00:08:49,800 --> 00:08:54,079
Speaker 3: First thing, tell us about Nebraska's relationship with cottonwood trees.

190
00:08:55,160 --> 00:08:58,480
Speaker 7: Well, yeah, you can probably imagine Nebraska doesn't have a

191
00:08:58,520 --> 00:09:02,360
Speaker 7: lot of trees, or it didn't that settlement, about three

192
00:09:02,400 --> 00:09:06,240
Speaker 7: percent forested, were mostly a prairie state, but the cottonwood

193
00:09:07,000 --> 00:09:10,240
Speaker 7: was a prominent tree growing across Nebraska even at the

194
00:09:10,280 --> 00:09:12,880
Speaker 7: time of settlement. It was a tree that would grow

195
00:09:13,400 --> 00:09:16,559
Speaker 7: anywhere there was a little moisture, especially on streams or

196
00:09:16,600 --> 00:09:20,360
Speaker 7: low wet areas, and it was highly revered by both

197
00:09:20,400 --> 00:09:23,920
Speaker 7: the native populations out here and the early pioneers. So

198
00:09:23,960 --> 00:09:29,600
Speaker 7: it was kind of Nebraska's favorite or most common tree.

199
00:09:31,679 --> 00:09:34,320
Speaker 7: Since the time of settlement. That's changed quite a bit

200
00:09:34,440 --> 00:09:36,840
Speaker 7: with the advent of agriculture out here, and we don't

201
00:09:36,840 --> 00:09:39,800
Speaker 7: see as many cottonwoods as we used to have, but

202
00:09:39,880 --> 00:09:44,000
Speaker 7: it is our state tree. It's the state tree of Nebraska,

203
00:09:44,080 --> 00:09:46,760
Speaker 7: I think also Kansas and Wyoming. And part of that

204
00:09:46,840 --> 00:09:49,320
Speaker 7: has to do with the fact that we lost a

205
00:09:49,320 --> 00:09:51,680
Speaker 7: lot of our American elm trees which used to be

206
00:09:51,760 --> 00:09:53,960
Speaker 7: our state tree, that was from a disease in the

207
00:09:54,040 --> 00:09:57,240
Speaker 7: sixties and seventies, so we just said, hey, how about

208
00:09:57,240 --> 00:09:58,880
Speaker 7: our good old native cottonwood.

209
00:09:59,120 --> 00:10:01,840
Speaker 3: I like it. Now. This year it was announced that

210
00:10:01,920 --> 00:10:06,040
Speaker 3: a cottonwood there is the new national Champion Tree. How

211
00:10:06,080 --> 00:10:07,880
Speaker 3: did that come to be? And who keeps track of

212
00:10:07,920 --> 00:10:08,640
Speaker 3: these records?

213
00:10:09,880 --> 00:10:12,839
Speaker 7: Yeah? Well, I don't want to speak for every state,

214
00:10:12,920 --> 00:10:15,800
Speaker 7: but most states have a Champion Tree program, and here

215
00:10:15,840 --> 00:10:19,679
Speaker 7: in Nebraskas with the Nebraska Forest Service, and I've been

216
00:10:19,720 --> 00:10:22,160
Speaker 7: assigned to it here for the last several years. So

217
00:10:22,200 --> 00:10:26,240
Speaker 7: we try to get out and document the biggest major

218
00:10:26,440 --> 00:10:29,360
Speaker 7: trees in our state, for our most prominent trees. And

219
00:10:29,400 --> 00:10:32,199
Speaker 7: you'd be surprised, even here in Nebraska, where we were

220
00:10:32,200 --> 00:10:35,800
Speaker 7: pretty much treeless, we can grow pretty big trees out

221
00:10:35,800 --> 00:10:38,559
Speaker 7: here and also on the Great Plains. So we try

222
00:10:38,600 --> 00:10:41,720
Speaker 7: to keep track of our champion trees, the most common ones.

223
00:10:41,760 --> 00:10:44,680
Speaker 7: And then there's a national Champion Tree program too, and

224
00:10:44,720 --> 00:10:48,040
Speaker 7: anybody could look that up, the National Register of Big Trees,

225
00:10:48,559 --> 00:10:51,720
Speaker 7: And we tried to align our standards with those standards

226
00:10:51,760 --> 00:10:55,920
Speaker 7: because for about the last twenty five or thirty years,

227
00:10:55,960 --> 00:11:01,160
Speaker 7: the largest cottonwood, eastern cottonwood, has been measured or found

228
00:11:01,200 --> 00:11:04,560
Speaker 7: in Nebraska, so we want to align ourselves with those standards.

229
00:11:05,120 --> 00:11:10,120
Speaker 7: This particular tree actually grows up near Ericson in our

230
00:11:10,200 --> 00:11:13,640
Speaker 7: sand Hills region north of Lincoln and Grand Island, So

231
00:11:14,040 --> 00:11:16,120
Speaker 7: you wouldn't think you'd have a big tree out there,

232
00:11:16,160 --> 00:11:19,560
Speaker 7: but the cottonwood loves wet ground even in the sand Hills,

233
00:11:20,240 --> 00:11:24,440
Speaker 7: and survey crew out there doing some survey work for

234
00:11:24,679 --> 00:11:29,760
Speaker 7: the local conservation Lake area nearby happened upon this tree

235
00:11:29,760 --> 00:11:32,640
Speaker 7: and they said, hey, let's let the Nebraska for Service

236
00:11:32,760 --> 00:11:35,840
Speaker 7: know about it. They did, We went out and confirmed

237
00:11:35,880 --> 00:11:38,800
Speaker 7: the measurement, and then we submitted it to the National

238
00:11:38,880 --> 00:11:43,880
Speaker 7: Champion Tree program and it became Kosher as the National

239
00:11:43,960 --> 00:11:45,959
Speaker 7: Champion Tree just this last summer.

240
00:11:46,559 --> 00:11:49,800
Speaker 3: And tell us about the measurements that this tree has

241
00:11:50,160 --> 00:11:53,360
Speaker 3: and the scoring system that you put together for these trees.

242
00:11:54,120 --> 00:11:58,080
Speaker 7: Yeah, you bet that picture you see right there. The

243
00:11:58,120 --> 00:12:00,360
Speaker 7: guy who happened upon the tree is made during it,

244
00:12:00,480 --> 00:12:03,520
Speaker 7: Dana General, and he's measuring it. And it turned out

245
00:12:03,520 --> 00:12:06,720
Speaker 7: to be thirty seven point two feet in circumference. So

246
00:12:07,240 --> 00:12:09,480
Speaker 7: if you can imagine, that would probably be six or

247
00:12:09,559 --> 00:12:12,080
Speaker 7: seven of us big guys trying to hold hands to

248
00:12:12,120 --> 00:12:14,600
Speaker 7: get around that tree. That's how big the trunk is.

249
00:12:15,080 --> 00:12:18,040
Speaker 7: It's not super tall. It's only eighty five feet tall.

250
00:12:18,600 --> 00:12:21,320
Speaker 7: Cottonwoods out here don't get super tall when they grow

251
00:12:21,320 --> 00:12:23,920
Speaker 7: in the open, you know, because they can get wide spreading.

252
00:12:23,960 --> 00:12:27,040
Speaker 7: But the tree does reach out about one hundred and

253
00:12:27,080 --> 00:12:31,320
Speaker 7: twenty feet or so. The tree was nominated at just

254
00:12:31,360 --> 00:12:35,120
Speaker 7: the right time because our former national champion and state

255
00:12:35,200 --> 00:12:39,120
Speaker 7: champion was dethroned. Because we had to remeasure it to

256
00:12:39,200 --> 00:12:42,280
Speaker 7: keep in line with the national standards, and so we

257
00:12:42,280 --> 00:12:44,960
Speaker 7: were looking for a new tree. This came along at

258
00:12:44,960 --> 00:12:45,880
Speaker 7: the right time.

259
00:12:45,920 --> 00:12:48,800
Speaker 3: And you can see the pictures of this tree on

260
00:12:48,840 --> 00:12:51,880
Speaker 3: our YouTube channel right now if you go watch this episode. Now.

261
00:12:51,880 --> 00:12:55,000
Speaker 3: Has this tree been on people's radar as a potential

262
00:12:55,080 --> 00:12:55,960
Speaker 3: national champion?

263
00:12:57,440 --> 00:13:00,600
Speaker 7: No, we were all surprised that it was out there.

264
00:13:01,040 --> 00:13:03,960
Speaker 7: It's interesting when you see these trees from a distance,

265
00:13:04,400 --> 00:13:08,079
Speaker 7: they're not very impressive, these cottonwoods that grow across Nebraska.

266
00:13:08,160 --> 00:13:11,400
Speaker 7: There's probably ten or fifteen in our database that are

267
00:13:11,440 --> 00:13:14,840
Speaker 7: over thirty feet in circumference, and you don't really notice

268
00:13:14,840 --> 00:13:17,040
Speaker 7: them from a difference. But when you get up close

269
00:13:17,080 --> 00:13:19,920
Speaker 7: to them, maybe one hundred yards away or so, you go, oh,

270
00:13:20,280 --> 00:13:22,640
Speaker 7: that's a big tree. And that's kind of what happened here.

271
00:13:22,720 --> 00:13:24,800
Speaker 7: They were on the side of the lake that doesn't

272
00:13:24,840 --> 00:13:27,319
Speaker 7: get a lot of foot traffic, so it had escaped

273
00:13:27,960 --> 00:13:29,880
Speaker 7: notice for a lot of years. And to be quite

274
00:13:29,880 --> 00:13:33,320
Speaker 7: honest with you, I'm a big tree hunter. I'm not

275
00:13:33,400 --> 00:13:36,080
Speaker 7: a game I'm a big tree hunter. And we don't

276
00:13:36,120 --> 00:13:39,040
Speaker 7: even see the biggest of our trees as often as

277
00:13:39,040 --> 00:13:39,800
Speaker 7: you might think.

278
00:13:40,040 --> 00:13:41,840
Speaker 3: So how old do you think this tree is?

279
00:13:43,120 --> 00:13:47,120
Speaker 7: Yeah, cottonwoods grow fast here, so they're not nearly as

280
00:13:47,200 --> 00:13:49,160
Speaker 7: old as we might think they are. For as big

281
00:13:49,200 --> 00:13:52,240
Speaker 7: as they are, we would guess. We guessed on this

282
00:13:52,320 --> 00:13:54,920
Speaker 7: tree maybe one hundred and twenty years old or so,

283
00:13:55,080 --> 00:13:58,719
Speaker 7: going back to historical photographs of the adjacent lakes. So

284
00:13:59,240 --> 00:14:02,319
Speaker 7: they grow fast and then they kind of die young. Now,

285
00:14:02,320 --> 00:14:04,600
Speaker 7: one hundred and twenty years is a good age, isn't it.

286
00:14:05,040 --> 00:14:07,880
Speaker 7: But compared to an oak that size, an oak that

287
00:14:08,040 --> 00:14:10,280
Speaker 7: size would be five to six hundred years old.

288
00:14:10,520 --> 00:14:13,720
Speaker 3: My goodness. Now, what is it about that tree's home

289
00:14:13,920 --> 00:14:17,040
Speaker 3: that allowed it to grow to such enormous proportions.

290
00:14:18,480 --> 00:14:22,760
Speaker 7: Yeah, cottonwood's like a wet spot. And this particular spot

291
00:14:23,480 --> 00:14:28,120
Speaker 7: is a former creek side a natural stream flow through

292
00:14:28,160 --> 00:14:31,000
Speaker 7: the sand hills, and then they converted part of that

293
00:14:31,120 --> 00:14:34,120
Speaker 7: area to a lake about one hundred years ago, and

294
00:14:34,160 --> 00:14:36,880
Speaker 7: that cottonwood was just in the right spot to stay

295
00:14:38,320 --> 00:14:41,240
Speaker 7: with a moist root zone all its life to this point.

296
00:14:41,440 --> 00:14:43,800
Speaker 7: Plus there's not a lot of activity around it. They

297
00:14:43,840 --> 00:14:47,520
Speaker 7: don't farm right up to it, people don't drive over

298
00:14:47,560 --> 00:14:49,840
Speaker 7: the root system or anything like that. So it's been

299
00:14:49,880 --> 00:14:52,080
Speaker 7: able to just kind of do its own thing for

300
00:14:52,120 --> 00:14:54,840
Speaker 7: over one hundred years now, which is really what we need.

301
00:14:54,920 --> 00:15:00,120
Speaker 7: One issue we're running into Nebraska. With our agriculture the

302
00:15:00,160 --> 00:15:03,520
Speaker 7: way we do agriculture now, there is so big equipment

303
00:15:03,600 --> 00:15:06,080
Speaker 7: and we use a lot of herbicides. It is impacting

304
00:15:06,120 --> 00:15:09,440
Speaker 7: a lot of our native trees and this tree, thankfully

305
00:15:09,560 --> 00:15:13,120
Speaker 7: doesn't have a lot of that agriculture happening right around it.

306
00:15:14,760 --> 00:15:17,240
Speaker 2: Hey, justin this is the honest here. I would think

307
00:15:17,320 --> 00:15:20,280
Speaker 2: that the number one threat to a tree like that

308
00:15:20,320 --> 00:15:24,880
Speaker 2: would be a beaver. Yeah, yeah, I mean, just you know,

309
00:15:24,880 --> 00:15:28,680
Speaker 2: I floated by thousands of cottonwoods in my days as

310
00:15:28,720 --> 00:15:31,320
Speaker 2: a fly fishing god in Colorado, and it seemed like

311
00:15:31,320 --> 00:15:33,960
Speaker 2: the number one thing that would take down some of

312
00:15:33,960 --> 00:15:37,720
Speaker 2: these giants would be a beaver. But I guess that, like,

313
00:15:38,040 --> 00:15:41,440
Speaker 2: are there near beavers nearby? Is that something that you

314
00:15:41,480 --> 00:15:44,040
Speaker 2: guys would worry about and maybe protect that tree from

315
00:15:44,080 --> 00:15:46,120
Speaker 2: if they were, if they were found in the area.

316
00:15:46,720 --> 00:15:49,000
Speaker 7: Yeah, that's a really good point, to be quite honest

317
00:15:49,040 --> 00:15:51,560
Speaker 7: with you. We don't see the beaver. This tree got

318
00:15:51,600 --> 00:15:55,120
Speaker 7: big enough that it must have escaped the beavers. But

319
00:15:55,400 --> 00:15:59,200
Speaker 7: we see beavers chewing on trees right around it, and

320
00:15:59,320 --> 00:16:01,480
Speaker 7: so this tree must be big enough that they don't

321
00:16:01,480 --> 00:16:03,680
Speaker 7: want to try to tackle it. But boy, do we

322
00:16:03,720 --> 00:16:07,840
Speaker 7: see beaver damage on our young trees, especially cottonwoods and

323
00:16:07,840 --> 00:16:10,960
Speaker 7: willows and anything that grows across the creek. I was

324
00:16:11,040 --> 00:16:14,360
Speaker 7: just out creaking the other day, and while the beavers

325
00:16:14,400 --> 00:16:16,360
Speaker 7: can do quick damage on things. So if any of

326
00:16:16,440 --> 00:16:18,480
Speaker 7: you are looking for a beaver hunt, come on out

327
00:16:18,480 --> 00:16:19,120
Speaker 7: and help us.

328
00:16:19,160 --> 00:16:19,960
Speaker 4: I guess.

329
00:16:21,200 --> 00:16:24,320
Speaker 1: Justin Seth here, what about lightning strikes? Has that tree

330
00:16:24,360 --> 00:16:26,640
Speaker 1: ever been struck by lightning? Is there any signs of that?

331
00:16:26,840 --> 00:16:30,480
Speaker 7: Or yeah, thankfully no, we couldn't see anything in it.

332
00:16:30,640 --> 00:16:35,240
Speaker 7: The trees that get big out here on the plains, right,

333
00:16:35,360 --> 00:16:40,800
Speaker 7: they are a lightning rod. Yeah, you know, so there's

334
00:16:40,840 --> 00:16:43,440
Speaker 7: a lot that has to happen right in this tree's life,

335
00:16:43,600 --> 00:16:46,640
Speaker 7: escaping predation and lightning and all of that to survive

336
00:16:47,320 --> 00:16:50,880
Speaker 7: to this point. But you'd be surprised. These big old

337
00:16:51,160 --> 00:16:56,480
Speaker 7: cottonwoods are all over the plains Kansas and Nebraska, South Dakota,

338
00:16:56,520 --> 00:16:59,280
Speaker 7: even out in your part of the world. They transition

339
00:16:59,400 --> 00:17:02,720
Speaker 7: into a sub species called the we have the Eastern cottonwood.

340
00:17:02,720 --> 00:17:06,399
Speaker 7: The subspecies is the plains cottonwoods out in Wyoming and Montana,

341
00:17:06,920 --> 00:17:10,240
Speaker 7: and I think that subspecies national champion is actually out

342
00:17:10,280 --> 00:17:13,760
Speaker 7: in Montana somewhere just about as big as this tree.

343
00:17:13,880 --> 00:17:16,440
Speaker 7: So it's just neat to see that across the plains,

344
00:17:16,480 --> 00:17:19,520
Speaker 7: these cottonwoods can grow big and old, and boy, the

345
00:17:19,600 --> 00:17:23,000
Speaker 7: Native Americans revered them as the tree of life. They

346
00:17:23,080 --> 00:17:26,640
Speaker 7: used them in most of their sundance ceremonies. Another fun

347
00:17:26,800 --> 00:17:30,119
Speaker 7: fact is that bees are native bees, and our honey

348
00:17:30,119 --> 00:17:33,679
Speaker 7: bees used the resin of the buds of these trees

349
00:17:33,800 --> 00:17:36,000
Speaker 7: or this time of year, they're gathering it to build

350
00:17:36,040 --> 00:17:42,240
Speaker 7: their hives and they have antimicrobial possibilities there and so

351
00:17:42,359 --> 00:17:45,480
Speaker 7: that's kind of a main ingredient in the balm of Gilead,

352
00:17:45,520 --> 00:17:49,560
Speaker 7: and early settlers used that as kind of a antimicrobial

353
00:17:50,359 --> 00:17:54,240
Speaker 7: salve for different things. So, yeah, the cottonwood, Wow, it's

354
00:17:54,280 --> 00:17:56,920
Speaker 7: a tree of the plains and we're happy it's out here.

355
00:17:57,119 --> 00:17:59,879
Speaker 3: So at this age and size, what kind of threats

356
00:18:00,240 --> 00:18:01,400
Speaker 3: exist for that tree?

357
00:18:02,440 --> 00:18:04,720
Speaker 7: Yeah, you've named them there for sure that I would

358
00:18:04,760 --> 00:18:08,359
Speaker 7: say lightning. Yeah, here's another sad fact of the big

359
00:18:08,400 --> 00:18:12,199
Speaker 7: trees here in Nebraska our Champion Tree program. Once a

360
00:18:12,240 --> 00:18:17,920
Speaker 7: big tree gets to that status, it's life maybe about

361
00:18:18,040 --> 00:18:20,360
Speaker 7: up because when they get that big, you know, they're

362
00:18:20,440 --> 00:18:23,840
Speaker 7: running out of steam. A lot of times, especially at cottonwood,

363
00:18:23,880 --> 00:18:26,960
Speaker 7: they grow fast and they kind of die young. But

364
00:18:27,000 --> 00:18:31,080
Speaker 7: if we maybe squeak out another thirty years on this tree,

365
00:18:31,119 --> 00:18:34,679
Speaker 7: that would be pretty good. The second biggest cottonwood we

366
00:18:34,800 --> 00:18:38,920
Speaker 7: had growing in Nebraska did suffer from both wind damage

367
00:18:38,920 --> 00:18:41,120
Speaker 7: and a lightning strike a few years ago and now

368
00:18:41,240 --> 00:18:45,199
Speaker 7: it is gone. So yep, maybe we shouldn't designate it

369
00:18:45,240 --> 00:18:49,760
Speaker 7: as a champion. It might be due for succumbing one

370
00:18:49,760 --> 00:18:50,439
Speaker 7: of these days.

371
00:18:50,720 --> 00:18:53,359
Speaker 3: If someone thinks they know about a bigger cottonwood or

372
00:18:53,520 --> 00:18:56,879
Speaker 3: any tree that's of record book proportions, what should they do.

373
00:18:58,520 --> 00:19:01,240
Speaker 7: Yeah, it depends on the state you're in. Most states

374
00:19:01,280 --> 00:19:04,199
Speaker 7: do have a Champion Tree program and they're happy to

375
00:19:04,320 --> 00:19:08,120
Speaker 7: and it's often with the state Forest agency or their

376
00:19:08,280 --> 00:19:12,360
Speaker 7: university system. So you can that's where I would start. Now,

377
00:19:12,440 --> 00:19:16,119
Speaker 7: you can take that tree to the National Champion Tree Registered.

378
00:19:16,240 --> 00:19:19,240
Speaker 7: They have a portal that you can log in as

379
00:19:19,240 --> 00:19:24,160
Speaker 7: a visitor and nominated. Anybody can do that nominated tree.

380
00:19:24,240 --> 00:19:26,720
Speaker 7: So that's the I don't have the website, but it's

381
00:19:26,720 --> 00:19:29,680
Speaker 7: the National Champion Tree Program. Log in there and you'll

382
00:19:29,720 --> 00:19:32,359
Speaker 7: find it. Poke around in their people too. You'll be

383
00:19:32,400 --> 00:19:36,280
Speaker 7: amazed at some of the grand and fantastic trees that

384
00:19:36,359 --> 00:19:40,679
Speaker 7: grow across this country. One of the most spectacular trees

385
00:19:40,760 --> 00:19:43,760
Speaker 7: is actually the Rio Grand Cottonwood. I think the National

386
00:19:43,840 --> 00:19:47,160
Speaker 7: Champion is down in Arizona. You wouldn't believe how big

387
00:19:47,200 --> 00:19:49,440
Speaker 7: around that thing is. So it's fun to just get

388
00:19:49,480 --> 00:19:50,639
Speaker 7: out and see these trees.

389
00:19:51,320 --> 00:19:54,840
Speaker 3: Thanks for joining us, Justin. Congrats on the National Champion tree.

390
00:19:55,160 --> 00:19:56,399
Speaker 3: Nebraska should be proud.

391
00:19:57,200 --> 00:19:59,719
Speaker 7: Yeah, thanks, guys. I really appreciate the time today.

392
00:20:00,040 --> 00:20:00,600
Speaker 3: Have a good one.

393
00:20:00,720 --> 00:20:04,040
Speaker 2: Thanks Justin. Hey, that was a good one, Spencer. How'd

394
00:20:04,040 --> 00:20:05,080
Speaker 2: you find die Justin?

395
00:20:05,320 --> 00:20:06,040
Speaker 1: I enjoyed that.

396
00:20:06,880 --> 00:20:10,720
Speaker 3: When I saw the news of Nebraska dethroning. I don't

397
00:20:10,720 --> 00:20:13,280
Speaker 3: remember what the last day was Wyoming. Maybe he might

398
00:20:13,320 --> 00:20:15,879
Speaker 3: have said it. It was so they found this tree

399
00:20:15,880 --> 00:20:18,280
Speaker 3: in the summer. It was measured late summer, and then

400
00:20:18,320 --> 00:20:21,480
Speaker 3: I think again measured earlier this year. So it was

401
00:20:21,520 --> 00:20:24,920
Speaker 3: confirmed in March that that was the new National Champion tree.

402
00:20:25,240 --> 00:20:26,919
Speaker 3: When I saw that, I thought, we have to have

403
00:20:27,000 --> 00:20:28,680
Speaker 3: somebody on the show to talk about that, because I

404
00:20:28,680 --> 00:20:33,240
Speaker 3: didn't know that record books existed just for trees. And

405
00:20:33,240 --> 00:20:35,399
Speaker 3: it makes me really interested in that whole world.

406
00:20:35,400 --> 00:20:37,360
Speaker 2: Oh yeah, like you couldn't really get me to go

407
00:20:37,560 --> 00:20:40,119
Speaker 2: look at big rocks with you, But if you're like, hey, Annie,

408
00:20:40,160 --> 00:20:42,520
Speaker 2: let's go look at a giant oak tree that I

409
00:20:42,600 --> 00:20:45,800
Speaker 2: know about, I would go for sure. It reminds me

410
00:20:45,960 --> 00:20:49,280
Speaker 2: in Latvia. There was a book at this apartment that

411
00:20:49,320 --> 00:20:55,520
Speaker 2: we were staying at called like Latvia's one hundred Dish

412
00:20:55,720 --> 00:20:58,359
Speaker 2: was wls is what they call it. Dish means like

413
00:20:58,520 --> 00:21:01,119
Speaker 2: mighty was Walz's. Oh, And so it was like Latvia

414
00:21:01,119 --> 00:21:03,359
Speaker 2: as a hundred biggest oaks the country is only the

415
00:21:03,400 --> 00:21:05,720
Speaker 2: size of West Virginia, so it's not a giant place,

416
00:21:06,119 --> 00:21:09,399
Speaker 2: but it had literally coordinates and directions to get to

417
00:21:09,520 --> 00:21:13,000
Speaker 2: like the one hundred biggest, coolest oaks across the country.

418
00:21:13,240 --> 00:21:15,399
Speaker 2: A lot of them are on public or on private land.

419
00:21:15,880 --> 00:21:17,760
Speaker 2: But I guess they don't quote me on this, but

420
00:21:17,760 --> 00:21:20,080
Speaker 2: I'm pretty sure that you can, you know, go knock

421
00:21:20,119 --> 00:21:21,800
Speaker 2: on a door and say, hey, can I go, you know,

422
00:21:21,960 --> 00:21:24,520
Speaker 2: check out the tree because a lot of those big giants. Yeah,

423
00:21:24,520 --> 00:21:26,520
Speaker 2: even way back in the day, they were revered and

424
00:21:26,560 --> 00:21:29,439
Speaker 2: so they were capped not cut down, and they've you know,

425
00:21:29,640 --> 00:21:30,560
Speaker 2: only gotten bigger.

426
00:21:30,680 --> 00:21:33,199
Speaker 1: So it's pretty cool. The stat I would love to

427
00:21:33,200 --> 00:21:35,800
Speaker 1: know is how many turkeys roosted in that tree over

428
00:21:35,840 --> 00:21:36,560
Speaker 1: its lifespan?

429
00:21:36,760 --> 00:21:39,240
Speaker 3: Yeah, one hundred and twenty five years. That thing was

430
00:21:39,240 --> 00:21:42,600
Speaker 3: born in nineteen hundred. Then the tree seen everything there

431
00:21:42,840 --> 00:21:44,840
Speaker 3: something special too when you see a big old tree,

432
00:21:44,960 --> 00:21:48,920
Speaker 3: and I think cottonwood specifically to outdoorsmen from like our

433
00:21:49,000 --> 00:21:52,720
Speaker 3: part of the world, Michigan, Pennsylvania, South Dakota, it's like

434
00:21:52,840 --> 00:21:55,280
Speaker 3: kind of the tree that you associate a lot of

435
00:21:56,080 --> 00:21:57,240
Speaker 3: time spent outdoors with.

436
00:21:57,480 --> 00:21:57,720
Speaker 1: Yeah.

437
00:21:57,880 --> 00:22:03,760
Speaker 3: So good for Nebraska. Happy they got the record, all right?

438
00:22:03,920 --> 00:22:08,440
Speaker 3: Moving on, our next segment is One Minute Fishing Life.

439
00:22:08,440 --> 00:22:09,040
Speaker 1: Feel lucky?

440
00:22:10,119 --> 00:22:15,080
Speaker 4: Will do you bunk? Go ahead, make my cast.

441
00:22:16,840 --> 00:22:19,160
Speaker 3: One Minute Fishing is where we go live to someone

442
00:22:19,200 --> 00:22:21,440
Speaker 3: who's fishing and they have one minute to catch a fish.

443
00:22:21,680 --> 00:22:24,359
Speaker 3: If they're successful, we'll make a five hundred dollars donation

444
00:22:24,440 --> 00:22:27,120
Speaker 3: to a conservation group and for the whole month of April,

445
00:22:27,200 --> 00:22:29,840
Speaker 3: our friends at Trot Unlimited or joining us for one

446
00:22:29,880 --> 00:22:33,520
Speaker 3: Minute Fishing. This week, our angler is Tyler Coleman, the

447
00:22:33,680 --> 00:22:37,439
Speaker 3: Lower Bear River Project manager at TU. Today he's on

448
00:22:37,520 --> 00:22:40,359
Speaker 3: the Bear River basin in Utah and fishing for a

449
00:22:40,440 --> 00:22:43,200
Speaker 3: donation to Trout Unlimited. Tyler, welcome to the show.

450
00:22:44,240 --> 00:22:46,080
Speaker 8: Thanks thanks for trapping us on, and thank you for

451
00:22:46,119 --> 00:22:48,600
Speaker 8: doing this for Trout Unlimited. It's awesome to even raise

452
00:22:48,640 --> 00:22:51,760
Speaker 8: awareness if we don't catch fish. Really appreciate you guys

453
00:22:51,800 --> 00:22:52,160
Speaker 8: doing this.

454
00:22:52,359 --> 00:22:54,600
Speaker 3: We're excited a lot of pressure on you, Tyler as

455
00:22:54,640 --> 00:22:57,960
Speaker 3: the first TU guest of the month. Now we ask

456
00:22:58,040 --> 00:23:01,040
Speaker 3: Trout Unlimited to highlight some important one sheds across the

457
00:23:01,040 --> 00:23:04,040
Speaker 3: country for this segment. So first thing tell us about

458
00:23:04,040 --> 00:23:06,439
Speaker 3: the Bear River base and its greatest threats.

459
00:23:08,359 --> 00:23:11,440
Speaker 8: So a lot of our work focuses on habitat fragmentation

460
00:23:12,640 --> 00:23:14,800
Speaker 8: having service. To do this, I had to do something

461
00:23:14,840 --> 00:23:17,120
Speaker 8: in town. It's a good example. You can see right

462
00:23:17,119 --> 00:23:20,280
Speaker 8: behind me that the hydro station. A lot of our issues.

463
00:23:20,320 --> 00:23:23,280
Speaker 8: We have migratory cutthroat trout and these fish need to

464
00:23:23,320 --> 00:23:27,000
Speaker 8: move from downstream up into the headwaters a spawn. So

465
00:23:27,160 --> 00:23:30,240
Speaker 8: our job at TU is primarily focused on reconnecting those

466
00:23:30,240 --> 00:23:33,160
Speaker 8: tributary streams and areas that those fish can migrate.

467
00:23:34,160 --> 00:23:36,240
Speaker 3: And what are some things that TU has done to

468
00:23:36,240 --> 00:23:36,560
Speaker 3: help this.

469
00:23:36,640 --> 00:23:43,479
Speaker 8: Fishery specifically here we've done we created actually barriers on

470
00:23:43,480 --> 00:23:47,320
Speaker 8: one of the streams with partners to provide habitat for

471
00:23:47,520 --> 00:23:50,160
Speaker 8: just cutthroat trout. They removed all the non native fish

472
00:23:50,200 --> 00:23:54,679
Speaker 8: and then put cutthroat back in above the barriers, and

473
00:23:54,720 --> 00:23:57,800
Speaker 8: now that population can have an area where it's only

474
00:23:57,800 --> 00:23:59,760
Speaker 8: cut throat and they can migrate downstream and kind of

475
00:23:59,760 --> 00:24:03,360
Speaker 8: be a horse population for the mainsteam Logan River in.

476
00:24:03,359 --> 00:24:04,320
Speaker 7: The area and the Bear River.

477
00:24:04,359 --> 00:24:08,640
Speaker 8: We've done a lot of diversion, dam replacements and screening

478
00:24:08,720 --> 00:24:11,320
Speaker 8: to project fish from going one way down the canals

479
00:24:11,359 --> 00:24:14,280
Speaker 8: and ended up in a ditch somewhere. And we've done

480
00:24:14,359 --> 00:24:18,880
Speaker 8: some barrier removals, dam removals, fish ladders, a whole lot

481
00:24:18,920 --> 00:24:22,080
Speaker 8: of just reconnecting the streams from the tributaries to the

482
00:24:22,080 --> 00:24:22,480
Speaker 8: main stem.

483
00:24:22,920 --> 00:24:25,040
Speaker 3: Good on to you. Now, let's talk about the fishing.

484
00:24:25,040 --> 00:24:27,800
Speaker 3: What are you targeting today and how are you doing it?

485
00:24:28,920 --> 00:24:32,159
Speaker 8: So, going back to the connectivity issue is there's no

486
00:24:32,240 --> 00:24:34,679
Speaker 8: cutthroat trout that you're really gonna find out here. I

487
00:24:34,760 --> 00:24:37,040
Speaker 8: used to guide this exact same spot years ago, and

488
00:24:37,080 --> 00:24:39,760
Speaker 8: I've only caught one cutthroat trout over the four years

489
00:24:39,800 --> 00:24:42,399
Speaker 8: that i'd bring people here to fish. We've got non

490
00:24:42,480 --> 00:24:46,080
Speaker 8: native fish such as stock, rainbow trout, brown trout, and

491
00:24:46,760 --> 00:24:49,280
Speaker 8: there are the native Mountain whitefish that you find in here.

492
00:24:49,800 --> 00:24:51,679
Speaker 8: What I'm targeting today is anything that will eat this

493
00:24:51,760 --> 00:24:53,320
Speaker 8: fly and get to you five hundred bucks.

494
00:24:54,080 --> 00:24:57,080
Speaker 3: Okay, we like that, Tyler. Is there any competition on

495
00:24:57,119 --> 00:24:58,800
Speaker 3: the river today? Are you the only one there?

496
00:24:59,520 --> 00:25:02,119
Speaker 8: There's two guys right there spin fishing, and there's a

497
00:25:02,160 --> 00:25:04,760
Speaker 8: couple of people fly fishing downstream. So I got to

498
00:25:04,760 --> 00:25:07,320
Speaker 8: a spot to hold it. Didn't think I would need

499
00:25:07,359 --> 00:25:10,359
Speaker 8: to on a day like this, but the sunshiny midges

500
00:25:10,400 --> 00:25:12,920
Speaker 8: are popping off. So we got got one rainbow in

501
00:25:12,960 --> 00:25:15,120
Speaker 8: the under my belt right before we answered the call.

502
00:25:15,200 --> 00:25:17,840
Speaker 1: Just check it. Wait there, we'll see what we can find.

503
00:25:17,880 --> 00:25:20,280
Speaker 3: Another one rainbow? And how many casts was it to

504
00:25:20,280 --> 00:25:21,280
Speaker 3: get that one rainbow?

505
00:25:21,880 --> 00:25:22,479
Speaker 4: Too many?

506
00:25:22,760 --> 00:25:27,600
Speaker 3: Too many? So you're not optimistic about catching a fish

507
00:25:27,640 --> 00:25:29,120
Speaker 3: in one minute, then, is that what you're saying.

508
00:25:29,680 --> 00:25:30,800
Speaker 8: I'm always optimistic.

509
00:25:31,040 --> 00:25:34,720
Speaker 3: Okay, okay, well, Tyler, you're one minute of fishing starts

510
00:25:35,040 --> 00:25:37,160
Speaker 3: as soon as you make that first cast. Go at

511
00:25:37,200 --> 00:25:41,560
Speaker 3: it all right, let me get out there. Tyler is

512
00:25:41,640 --> 00:25:44,959
Speaker 3: now waiting into the stream. This looks like the perfect

513
00:25:45,040 --> 00:25:47,160
Speaker 3: place to pick up a white fish or a rainbow.

514
00:25:47,560 --> 00:25:49,160
Speaker 3: And he's made his first cast.

515
00:25:50,440 --> 00:25:58,520
Speaker 2: Oh yeah, he's already high stick. He's drifting. Yeah, I'm surprised.

516
00:25:58,560 --> 00:26:02,520
Speaker 2: The beautiful hole, like that beautiful sunny day. No one

517
00:26:02,560 --> 00:26:03,520
Speaker 2: else is out there.

518
00:26:03,840 --> 00:26:09,760
Speaker 3: Yeah, Tyler, you're fifteen seconds in. There's gotta be fish

519
00:26:09,800 --> 00:26:10,760
Speaker 3: stacked out third, don't you.

520
00:26:10,760 --> 00:26:12,240
Speaker 1: Think you would think so?

521
00:26:13,480 --> 00:26:16,200
Speaker 2: Yeah, it's hard to say if that's a did he

522
00:26:16,240 --> 00:26:17,879
Speaker 2: say if it was a tail water or just a

523
00:26:17,920 --> 00:26:18,480
Speaker 2: spill away?

524
00:26:19,400 --> 00:26:21,440
Speaker 3: I don't remember that, te Dale. But I think the

525
00:26:21,440 --> 00:26:23,480
Speaker 3: most important thing is he's in town, so this is

526
00:26:23,720 --> 00:26:27,440
Speaker 3: looks like a pretty accessible area. Tyler, you have twenty

527
00:26:27,600 --> 00:26:33,760
Speaker 3: seconds left. He's just made another cast upstream. This may

528
00:26:33,760 --> 00:26:38,879
Speaker 3: be his last drift. Oh oh, I don't think he

529
00:26:38,960 --> 00:26:39,520
Speaker 3: has it?

530
00:26:39,560 --> 00:26:44,000
Speaker 1: Does yet? He does have one? No? No, no, dang.

531
00:26:43,760 --> 00:26:47,679
Speaker 3: It, Tyler, You're one minute of fishing is up? Can

532
00:26:47,720 --> 00:26:48,720
Speaker 3: you can you hear us? Tyler?

533
00:26:49,640 --> 00:26:50,080
Speaker 7: Yeah?

534
00:26:50,280 --> 00:26:52,400
Speaker 3: Tell did you have a hook set there? What happened?

535
00:26:54,400 --> 00:26:56,880
Speaker 3: What was that? Did you have a hook set there?

536
00:26:57,840 --> 00:27:01,280
Speaker 1: I think here's a rock? Yeah?

537
00:27:01,320 --> 00:27:04,960
Speaker 3: There you go. Just lie to us next time, all right, Tyler? Well,

538
00:27:05,320 --> 00:27:08,439
Speaker 3: no five hundred dollars donation to TU this week, but

539
00:27:08,560 --> 00:27:10,280
Speaker 3: we're gonna try again next episode.

540
00:27:10,280 --> 00:27:12,760
Speaker 8: Thank you for joining us, Yeah, thank you for having

541
00:27:12,840 --> 00:27:15,320
Speaker 8: us and help raising awareness for what trot On Limited does.

542
00:27:15,600 --> 00:27:16,520
Speaker 1: We really appreciate it.

543
00:27:16,600 --> 00:27:17,760
Speaker 3: Hell yeah, I have a good one, Tyler.

544
00:27:17,800 --> 00:27:19,000
Speaker 1: Thanks Tyler, thanks Tyler.

545
00:27:20,800 --> 00:27:22,360
Speaker 3: All right, let's take a b I would.

546
00:27:22,119 --> 00:27:25,080
Speaker 1: Have liked to have known what flies fly or flies

547
00:27:25,160 --> 00:27:25,880
Speaker 1: he was drifting?

548
00:27:26,000 --> 00:27:27,720
Speaker 3: M what do you think he was?

549
00:27:31,440 --> 00:27:34,399
Speaker 2: He said midges were popping, So I'm guessing, you know,

550
00:27:34,520 --> 00:27:37,920
Speaker 2: probably some kind of a bigger attractor nymph up top

551
00:27:38,040 --> 00:27:40,600
Speaker 2: and then uh, midge trailing it in the back. But

552
00:27:41,080 --> 00:27:43,080
Speaker 2: you know there's a thousands of midge patterns.

553
00:27:43,280 --> 00:27:45,040
Speaker 1: I want to know. If them boys spin fishing, we're

554
00:27:45,080 --> 00:27:45,560
Speaker 1: catching it.

555
00:27:46,800 --> 00:27:48,920
Speaker 3: We'll come back to them later for one minute fishing

556
00:27:48,960 --> 00:27:49,520
Speaker 3: the spin fish.

557
00:27:49,640 --> 00:27:51,720
Speaker 2: You know, we might have to switch this segment up

558
00:27:51,720 --> 00:27:54,800
Speaker 2: to maybe two minutes or five minutes fishing.

559
00:27:55,160 --> 00:27:57,560
Speaker 3: Well, if that happens, then the suits at Meat Eater

560
00:27:57,600 --> 00:27:59,719
Speaker 3: you're going to be sending me an email like, hey, uh,

561
00:28:00,000 --> 00:28:02,720
Speaker 3: we can't be giving away all that money every episode.

562
00:28:03,160 --> 00:28:06,560
Speaker 3: So one minute. I think we've had three successful anglers

563
00:28:06,880 --> 00:28:10,320
Speaker 3: and it makes it extra special when it does happen. Yeah, Johanny,

564
00:28:10,359 --> 00:28:11,560
Speaker 3: you were one of them. You were one of the

565
00:28:11,560 --> 00:28:15,520
Speaker 3: successful angle right, you were jumping that water down in Louisiana.

566
00:28:16,480 --> 00:28:19,640
Speaker 1: Yeah, yeah, Oh that was fishing in a barrel for sure.

567
00:28:19,880 --> 00:28:22,639
Speaker 3: That could have been ten second fishing. That's all right,

568
00:28:22,720 --> 00:28:24,920
Speaker 3: let's take a break for some listener feedback, Phil, what's

569
00:28:24,920 --> 00:28:25,800
Speaker 3: the chat have to say?

570
00:28:26,440 --> 00:28:30,200
Speaker 6: We've got Leland writing in asking question for Spencer, when

571
00:28:30,240 --> 00:28:33,000
Speaker 6: can we expect more meat eater kids and why the

572
00:28:33,040 --> 00:28:35,879
Speaker 6: long delays breaks an episode drops. So I'll pipe in

573
00:28:35,960 --> 00:28:39,640
Speaker 6: first as the part of the podcast team. That show,

574
00:28:39,720 --> 00:28:43,640
Speaker 6: despite its relatively short runtime, does take a lot of

575
00:28:44,400 --> 00:28:46,960
Speaker 6: teamwork and resources around here. We've got Steve having to

576
00:28:47,000 --> 00:28:49,760
Speaker 6: write a script for his bit, Spencer writing trivia for kids.

577
00:28:50,320 --> 00:28:53,200
Speaker 6: You know, Corinn and crew working on Guess that Critter.

578
00:28:53,640 --> 00:28:56,640
Speaker 6: Even though it's kind of like a short, bite sized show,

579
00:28:57,080 --> 00:28:58,600
Speaker 6: it is a lot of work and it's a labor

580
00:28:58,640 --> 00:29:00,880
Speaker 6: of love. But also we don't really want to like

581
00:29:02,760 --> 00:29:05,240
Speaker 6: I almost use kind of like a very dirty term.

582
00:29:05,280 --> 00:29:06,480
Speaker 6: I'm not gonna I'm not gonna do that, but we

583
00:29:06,520 --> 00:29:06,960
Speaker 6: don't wanna.

584
00:29:07,960 --> 00:29:11,520
Speaker 1: Now it's stuck in my head. It's good to space.

585
00:29:11,560 --> 00:29:13,800
Speaker 6: The show's out is what I'm just what I'm trying

586
00:29:13,840 --> 00:29:16,080
Speaker 6: to get to, and kind of event ties them as

587
00:29:16,080 --> 00:29:18,840
Speaker 6: seasons get get people excited, because I think if that

588
00:29:18,880 --> 00:29:21,120
Speaker 6: were a weekly show, I think people will be excited

589
00:29:21,120 --> 00:29:23,080
Speaker 6: about it for a while and then it might get

590
00:29:23,160 --> 00:29:24,520
Speaker 6: kind of it might get kind of dull.

591
00:29:24,680 --> 00:29:27,080
Speaker 3: So yeah, but a lot of scheduling, a lot of

592
00:29:27,120 --> 00:29:29,800
Speaker 3: a lot of people involved to put it together. Our

593
00:29:29,840 --> 00:29:32,440
Speaker 3: plan right now, and this could change, is to drop

594
00:29:32,480 --> 00:29:36,560
Speaker 3: two seasons of Meat Eater Kids each year, one in

595
00:29:36,600 --> 00:29:38,960
Speaker 3: the summer kind of right when kids get out of school,

596
00:29:39,240 --> 00:29:41,600
Speaker 3: and then the other around Christmas break, so it spreads

597
00:29:41,640 --> 00:29:44,560
Speaker 3: them out about six months from each other. Expect that

598
00:29:44,640 --> 00:29:48,800
Speaker 3: next one, Leland, sometime between like Memorial Day and fourth

599
00:29:48,840 --> 00:29:50,640
Speaker 3: of July. We're gonna have five new episodes for.

600
00:29:50,720 --> 00:29:51,760
Speaker 1: The beginning of June.

601
00:29:51,840 --> 00:29:53,960
Speaker 6: I can I think I can officially say June is

602
00:29:54,240 --> 00:29:56,240
Speaker 6: the next season of Meat Eater Kids, So keep an

603
00:29:56,280 --> 00:29:56,720
Speaker 6: eye out for that.

604
00:29:56,760 --> 00:29:59,560
Speaker 3: There you go, tell little Leland, more Meat Eater Kids

605
00:29:59,600 --> 00:29:59,840
Speaker 3: is on the.

606
00:29:59,800 --> 00:30:03,400
Speaker 6: Way, Mike Seth, You're getting a lot of questions from

607
00:30:03,440 --> 00:30:05,560
Speaker 6: a lot of different people. Michael asks, what is a

608
00:30:05,600 --> 00:30:08,640
Speaker 6: good camera for beginners for photography?

609
00:30:08,640 --> 00:30:13,240
Speaker 1: Oh, you know, one of the first cameras I well,

610
00:30:13,400 --> 00:30:16,000
Speaker 1: was the second camera I ever had, was a Sony

611
00:30:16,560 --> 00:30:21,000
Speaker 1: A sixty three hundred. It's like a crop censor mirrorless

612
00:30:21,880 --> 00:30:28,400
Speaker 1: camera made by Sony, and it's reasonably priced and good

613
00:30:28,520 --> 00:30:31,640
Speaker 1: quality photos. It's not quite like a professional camera, but

614
00:30:31,680 --> 00:30:34,840
Speaker 1: it's like something worth getting to like start with and

615
00:30:34,840 --> 00:30:36,480
Speaker 1: see if you want to stick with it and see

616
00:30:36,480 --> 00:30:39,480
Speaker 1: if you like it. And then that north or south

617
00:30:39,520 --> 00:30:43,960
Speaker 1: of a thousand bucks, I think it's probably north, but

618
00:30:44,040 --> 00:30:46,240
Speaker 1: it's probably pretty close to that. I don't know what

619
00:30:46,320 --> 00:30:47,200
Speaker 1: they are these days.

620
00:30:47,360 --> 00:30:49,280
Speaker 3: I haven't looked at camera prices in a while, but

621
00:30:49,280 --> 00:30:51,920
Speaker 3: I feel like that's one of those things that prices

622
00:30:51,960 --> 00:30:53,080
Speaker 3: are probably coming down.

623
00:30:53,200 --> 00:30:53,680
Speaker 1: Yeah, I don't know.

624
00:30:53,840 --> 00:30:55,400
Speaker 3: Like Seth, you and I are the right age that

625
00:30:55,440 --> 00:30:58,640
Speaker 3: we remember when flash drives came out and fill you

626
00:30:58,680 --> 00:31:00,640
Speaker 3: as well, And there was a moment where like a

627
00:31:00,680 --> 00:31:02,880
Speaker 3: flash drive was like eighty dollars, yeah, to get a

628
00:31:02,920 --> 00:31:04,160
Speaker 3: one gigabyte flash drive.

629
00:31:04,200 --> 00:31:08,720
Speaker 6: Oh, I mean gigs. That's that's being generous. Several megabytes yeah, yeah.

630
00:31:08,400 --> 00:31:10,400
Speaker 3: And then at some point everyone could make them. The

631
00:31:10,480 --> 00:31:13,960
Speaker 3: technology got to a point where it was far easier

632
00:31:13,960 --> 00:31:16,440
Speaker 3: to create a super high quality flash drive. I think

633
00:31:16,440 --> 00:31:18,440
Speaker 3: that's kind of happening with cameras. Yeah, I bet like

634
00:31:18,840 --> 00:31:22,640
Speaker 3: it's better now than it's ever been to get a

635
00:31:22,640 --> 00:31:25,200
Speaker 3: good camera for photography. What about other tips you got

636
00:31:25,240 --> 00:31:26,000
Speaker 3: for Michael.

637
00:31:27,760 --> 00:31:31,160
Speaker 1: Yeah, Well a tip would just be learning the camera

638
00:31:31,680 --> 00:31:34,440
Speaker 1: real well and shoot a lot of photos with it

639
00:31:34,520 --> 00:31:36,520
Speaker 1: and then you'll figure out if you like it, and

640
00:31:36,600 --> 00:31:38,600
Speaker 1: if you like it, you know, just upgrade your gear

641
00:31:38,640 --> 00:31:38,920
Speaker 1: from there.

642
00:31:39,120 --> 00:31:42,280
Speaker 3: Go do you shoot with now a seven or five?

643
00:31:42,720 --> 00:31:45,880
Speaker 1: Which is like a kind of the top of the line,

644
00:31:46,800 --> 00:31:49,520
Speaker 1: not necessary for someone just getting into it.

645
00:31:50,280 --> 00:31:52,080
Speaker 3: That's why I says pictures look so good and he's

646
00:31:52,120 --> 00:31:53,040
Speaker 3: also very talented.

647
00:31:53,320 --> 00:31:56,760
Speaker 1: Thanks Spencer, What else you got phil from Adam? Is

648
00:31:56,800 --> 00:31:59,479
Speaker 1: there any contention between Giannis and Steve being that Janis

649
00:31:59,480 --> 00:32:01,920
Speaker 1: want a bear tag on Prince of Wales and Steve

650
00:32:01,960 --> 00:32:02,960
Speaker 1: continues to lose out.

651
00:32:04,320 --> 00:32:09,719
Speaker 2: Well, Steve is not losing out. He has other friends

652
00:32:09,720 --> 00:32:13,760
Speaker 2: and family that have drawn that tag. I believe one

653
00:32:13,920 --> 00:32:16,840
Speaker 2: or maybe two kids have drawn the same year that

654
00:32:16,960 --> 00:32:21,880
Speaker 2: I have for twenty six. So yeah, these days when

655
00:32:21,880 --> 00:32:25,160
Speaker 2: our kids have a tag, no one's losing out.

656
00:32:26,200 --> 00:32:27,880
Speaker 1: Twenty six is gonna be a big year for bear

657
00:32:27,960 --> 00:32:31,040
Speaker 1: hunting up there. Yeah, my dad drew for twenty six

658
00:32:31,520 --> 00:32:32,719
Speaker 1: up there too. Yeah.

659
00:32:32,800 --> 00:32:35,120
Speaker 2: I'm gonna go out it Clay Newcombe style. I'm bringing

660
00:32:35,200 --> 00:32:37,080
Speaker 2: my wet suit and my bowl.

661
00:32:38,080 --> 00:32:38,959
Speaker 3: Are you being serious?

662
00:32:39,040 --> 00:32:39,440
Speaker 1: Oh? Yeah?

663
00:32:39,440 --> 00:32:42,200
Speaker 3: What time of year will be going? What month may?

664
00:32:42,360 --> 00:32:46,680
Speaker 1: Probably? Yeah, like the week before. Oh, it's gonna be great.

665
00:32:46,880 --> 00:32:48,720
Speaker 3: Yeah, you have a gun picked out for your dad,

666
00:32:48,800 --> 00:32:50,000
Speaker 3: Seth to take on that hunt.

667
00:32:51,160 --> 00:32:53,800
Speaker 1: He'll probably bring one of his. Yeah, probably the old

668
00:32:53,840 --> 00:32:55,040
Speaker 1: thirty hot six or something.

669
00:32:55,160 --> 00:32:55,640
Speaker 3: There you go.

670
00:32:55,760 --> 00:32:59,280
Speaker 6: Yeah, a couple of trapping questions for Seth. Oh boy,

671
00:33:00,360 --> 00:33:02,560
Speaker 6: I've been trying to catch a fox or coyot for

672
00:33:02,600 --> 00:33:04,400
Speaker 6: weeks now using a dirt hole set with a lure.

673
00:33:04,480 --> 00:33:06,680
Speaker 6: A few times the traps have been trigged, triggered, but

674
00:33:06,960 --> 00:33:09,280
Speaker 6: with no catches. Any idea of what I might be

675
00:33:09,320 --> 00:33:09,800
Speaker 6: doing wrong?

676
00:33:12,040 --> 00:33:14,280
Speaker 1: Well, A lot of times when that happens, it's because

677
00:33:14,360 --> 00:33:18,320
Speaker 1: the fox or coyote is smelling the trap, so there

678
00:33:18,360 --> 00:33:22,160
Speaker 1: might be some scent contamination there. A lot of times

679
00:33:22,200 --> 00:33:24,280
Speaker 1: when they they'll they'll smell the trap in the ground

680
00:33:24,320 --> 00:33:27,800
Speaker 1: and dig it up and it triggers. It. Hard to

681
00:33:27,840 --> 00:33:30,920
Speaker 1: exactly say you know what's going on there, but that

682
00:33:31,040 --> 00:33:32,960
Speaker 1: happens often. So cool.

683
00:33:33,080 --> 00:33:35,240
Speaker 6: And to follow that one up, do you ever use

684
00:33:35,240 --> 00:33:38,280
Speaker 6: the old Johnny Thorpe no leg hole beaver skinning method?

685
00:33:38,360 --> 00:33:39,600
Speaker 6: Those are a bunch of words. I have no idea

686
00:33:39,640 --> 00:33:41,360
Speaker 6: what they mean. Try it out and it makes a

687
00:33:41,360 --> 00:33:43,560
Speaker 6: really nice clean beaver hide, perfect for making garments.

688
00:33:43,640 --> 00:33:46,920
Speaker 1: Have you heard of this steth No? I know, I

689
00:33:46,960 --> 00:33:50,400
Speaker 1: know Johnny Thorpe. But I can't say that I know

690
00:33:50,560 --> 00:33:53,920
Speaker 1: the no leg hole method. I'll have to check that out.

691
00:33:55,160 --> 00:34:00,239
Speaker 1: Ben Anderson Outdoors. Let's see, this is kind of an

692
00:34:00,240 --> 00:34:03,640
Speaker 1: interesting one. Maybe Brad asks what is the line between

693
00:34:03,680 --> 00:34:07,000
Speaker 1: helping an animal and distress and letting nature take its course?

694
00:34:07,240 --> 00:34:07,600
Speaker 1: I e.

695
00:34:07,840 --> 00:34:11,400
Speaker 6: Fond traps in ice or something like that. M you

696
00:34:11,400 --> 00:34:12,520
Speaker 6: guys have any opinions on that?

697
00:34:12,600 --> 00:34:15,080
Speaker 3: I would say, no, what's legal? Brad? In that situation,

698
00:34:15,200 --> 00:34:18,399
Speaker 3: your best bad is probably to track down a game

699
00:34:18,440 --> 00:34:21,040
Speaker 3: warden and just use your judgment. If your gut tells

700
00:34:21,080 --> 00:34:23,600
Speaker 3: you that you should put that thing out of its misery,

701
00:34:24,200 --> 00:34:27,440
Speaker 3: then that's probably what you should do. I don't know

702
00:34:27,440 --> 00:34:29,239
Speaker 3: that I've been in that situation a lot. There was

703
00:34:29,560 --> 00:34:32,799
Speaker 3: like I hit a dough with my pickup one time,

704
00:34:32,960 --> 00:34:36,320
Speaker 3: had to cut its throat. Like putting animals out of

705
00:34:36,360 --> 00:34:37,800
Speaker 3: their misery encounter.

706
00:34:37,960 --> 00:34:40,959
Speaker 2: That's not exactly what Brad asked, right, He's asking about

707
00:34:41,000 --> 00:34:45,200
Speaker 2: just helping an animal and distress versus letting it continue

708
00:34:45,239 --> 00:34:47,560
Speaker 2: to be distressed. Have you ever had that happen where

709
00:34:47,560 --> 00:34:50,719
Speaker 2: you had to go I'm gonna do air quotes for

710
00:34:51,040 --> 00:34:53,279
Speaker 2: save because I lean on the side of kind of

711
00:34:53,360 --> 00:34:55,239
Speaker 2: letting nature do its things.

712
00:34:55,600 --> 00:34:59,360
Speaker 3: I was deer hunting in eastern Montana one time and

713
00:34:59,400 --> 00:35:02,200
Speaker 3: I saw an owl you know, barbed wire fence that

714
00:35:02,360 --> 00:35:06,120
Speaker 3: was still alive, and so I went and cut the fence.

715
00:35:06,760 --> 00:35:09,120
Speaker 3: I couldn't get a hold of the landowner at that time,

716
00:35:09,520 --> 00:35:11,440
Speaker 3: but I made the call that was gonna try to

717
00:35:11,480 --> 00:35:14,040
Speaker 3: help it. So I got a wire cutter out of

718
00:35:14,080 --> 00:35:16,280
Speaker 3: my pickup, cut the fence, put it in a tote,

719
00:35:16,719 --> 00:35:18,640
Speaker 3: track down the right people to give that too. There's

720
00:35:18,680 --> 00:35:21,920
Speaker 3: like a raptor association had to go, like do a

721
00:35:21,960 --> 00:35:25,120
Speaker 3: handoff to someone else an hour away. They took that raptor,

722
00:35:25,160 --> 00:35:26,920
Speaker 3: they got it to a rehab facility. It died a

723
00:35:26,920 --> 00:35:31,960
Speaker 3: week later. So it was it was disappointing that that

724
00:35:32,120 --> 00:35:35,799
Speaker 3: was the outcome, but encouraging that like that exists for

725
00:35:35,960 --> 00:35:40,200
Speaker 3: animals in that exact situation. So I did my best

726
00:35:40,239 --> 00:35:43,280
Speaker 3: at that time. I sacrificed some hunting to make that happen.

727
00:35:43,360 --> 00:35:45,520
Speaker 3: And then, weirdly, because I had to go way out

728
00:35:45,560 --> 00:35:48,200
Speaker 3: of my way to do this handoff, on my way back,

729
00:35:48,960 --> 00:35:52,440
Speaker 3: I saw some deer entering a guy's field. Got to

730
00:35:52,440 --> 00:35:55,200
Speaker 3: hold the landowner, got permission. A half hour later, I

731
00:35:55,280 --> 00:35:57,080
Speaker 3: killed a big old four by four, So it was

732
00:35:57,239 --> 00:36:02,480
Speaker 3: it was the nature did me right on that hunt? Yeah,

733
00:36:02,680 --> 00:36:06,200
Speaker 3: you guys ever help or kill an animal that was

734
00:36:06,239 --> 00:36:07,560
Speaker 3: in distress?

735
00:36:07,920 --> 00:36:10,440
Speaker 1: Ah? Yeah, I did the same thing with hitting a

736
00:36:10,520 --> 00:36:11,839
Speaker 1: deer with my truck one time.

737
00:36:11,920 --> 00:36:12,840
Speaker 3: How'd you kill it?

738
00:36:12,960 --> 00:36:17,799
Speaker 1: Twenty two? Yeah? I don't know. I feel like if

739
00:36:17,800 --> 00:36:22,880
Speaker 1: it's like a man man made issue, sure it's I

740
00:36:22,880 --> 00:36:27,080
Speaker 1: don't know in my mind, it might not be the

741
00:36:27,160 --> 00:36:30,520
Speaker 1: right thing or legal thing to do, but I don't know. Yeah,

742
00:36:30,760 --> 00:36:33,640
Speaker 1: it's just watching a deer struggle along the road, you know,

743
00:36:33,760 --> 00:36:35,000
Speaker 1: Oh for sure, for sure.

744
00:36:35,120 --> 00:36:38,040
Speaker 2: But now if a young fawn is getting taken down

745
00:36:38,080 --> 00:36:39,759
Speaker 2: by a pack of coyotes.

746
00:36:39,960 --> 00:36:42,360
Speaker 1: Let it go. Yeah, let it go. If it's nature,

747
00:36:42,600 --> 00:36:44,600
Speaker 1: let nature do its thing. Name of the game.

748
00:36:44,760 --> 00:36:46,319
Speaker 3: To put a bowl on that story. I did get

749
00:36:46,360 --> 00:36:48,719
Speaker 3: a hold of the rancher later on whose fence I cut,

750
00:36:48,840 --> 00:36:50,919
Speaker 3: told him what happened. It's like, hey, I'll go back

751
00:36:50,920 --> 00:36:52,799
Speaker 3: and fix it, and he's like, nope, don't worry about it.

752
00:36:53,080 --> 00:36:55,919
Speaker 3: Thanks for telling me. Uh, good on you for doing

753
00:36:55,920 --> 00:36:57,960
Speaker 3: the right thing. So it all worked out except for

754
00:36:58,040 --> 00:37:02,440
Speaker 3: the owl, all right. Moving on, our next segment is

755
00:37:02,520 --> 00:37:03,000
Speaker 3: meat Pole.

756
00:37:04,000 --> 00:37:09,640
Speaker 6: Say if Sully and Meatball is a take Welcome to Meady,

757
00:37:10,239 --> 00:37:12,000
Speaker 6: I got a game something.

758
00:37:12,840 --> 00:37:13,919
Speaker 1: Wow, that's great, Phil.

759
00:37:16,760 --> 00:37:18,960
Speaker 3: Meat Pole is a test of how much you know

760
00:37:19,040 --> 00:37:22,320
Speaker 3: about your fellow hunters and anglers. I surveyed five hundred

761
00:37:22,400 --> 00:37:25,480
Speaker 3: Meat Eater listeners about the outdoors. Your job is to

762
00:37:25,520 --> 00:37:29,280
Speaker 3: predict their answers. There are three questions. Whoever is closest

763
00:37:29,280 --> 00:37:32,520
Speaker 3: to the correct answer between Yiannis and Seth gets a point.

764
00:37:32,719 --> 00:37:35,480
Speaker 3: Whoever gets two points will be the winner, and everyone

765
00:37:35,480 --> 00:37:38,080
Speaker 3: in the chat should play along as well, because Phil

766
00:37:38,160 --> 00:37:40,480
Speaker 3: is going to watch your answers and then give a

767
00:37:40,520 --> 00:37:42,440
Speaker 3: shout out to whoever is closest.

768
00:37:43,120 --> 00:37:46,280
Speaker 2: I feel like I'm a good, good, above average trivia player.

769
00:37:47,280 --> 00:37:48,839
Speaker 2: Quite the opposite here with meat poll.

770
00:37:49,920 --> 00:37:53,120
Speaker 3: You're not an average Joey Yanni. You're too disconnected from

771
00:37:53,400 --> 00:37:55,920
Speaker 3: these five hundred listeners we're talking to. Maybe that's what

772
00:37:56,000 --> 00:37:58,239
Speaker 3: we learned. Could be Let's see how you do on

773
00:37:58,280 --> 00:38:02,279
Speaker 3: today's questions. The first one is what percentage of meat

774
00:38:02,280 --> 00:38:05,080
Speaker 3: Eater listeners have gotten lost in the woods to the

775
00:38:05,120 --> 00:38:06,680
Speaker 3: point where they were scared.

776
00:38:09,160 --> 00:38:13,120
Speaker 2: This is so subjective because they have to be humble

777
00:38:13,200 --> 00:38:14,040
Speaker 2: enough to admit.

778
00:38:14,800 --> 00:38:16,880
Speaker 3: I'll admit I got lost to the point where I

779
00:38:16,920 --> 00:38:18,839
Speaker 3: was scared before. Have you boys had that happen to you?

780
00:38:19,080 --> 00:38:19,279
Speaker 8: Yeah?

781
00:38:19,880 --> 00:38:23,560
Speaker 2: Yeah, I mean between the ages of twelve and forty seven.

782
00:38:23,600 --> 00:38:24,399
Speaker 2: Has it happened once?

783
00:38:24,520 --> 00:38:26,160
Speaker 1: Yes? Yeah, twice? Yes.

784
00:38:26,280 --> 00:38:28,839
Speaker 3: Okay, Well apply that logic to the folks who were

785
00:38:28,880 --> 00:38:32,880
Speaker 3: answering this question. What percentage of meat eater listeners have

786
00:38:33,000 --> 00:38:35,719
Speaker 3: gotten lost in the woods to the point where they

787
00:38:35,760 --> 00:38:38,600
Speaker 3: were scared? What was the worst that you ever got

788
00:38:38,640 --> 00:38:39,480
Speaker 3: lost and scared?

789
00:38:39,520 --> 00:38:40,239
Speaker 1: Yanni?

790
00:38:42,840 --> 00:38:50,000
Speaker 2: Oh jeez, it's probably you know. My dad and I

791
00:38:50,000 --> 00:38:52,040
Speaker 2: had quite the moment the other day. We just didn't

792
00:38:52,120 --> 00:38:52,800
Speaker 2: via text.

793
00:38:52,880 --> 00:38:53,479
Speaker 3: The other day.

794
00:38:53,680 --> 00:38:54,880
Speaker 1: Yeah, a couple days.

795
00:38:54,719 --> 00:38:58,839
Speaker 2: Ago, I was thinking about a podcast idea I have,

796
00:38:59,640 --> 00:39:02,640
Speaker 2: and that got me to thinking that I'd never really

797
00:39:02,680 --> 00:39:05,520
Speaker 2: properly thanked my dad for taking me hunting as a

798
00:39:05,560 --> 00:39:07,759
Speaker 2: young you know. So I just shot him a text

799
00:39:07,760 --> 00:39:11,040
Speaker 2: saying thanks, and he replied with, Hey, you're welcome.

800
00:39:11,560 --> 00:39:14,000
Speaker 1: Sorry I yelled at you some of those times, you.

801
00:39:14,080 --> 00:39:18,800
Speaker 2: Know, so like and that one time that I'm pretty

802
00:39:18,840 --> 00:39:22,759
Speaker 2: sure he's probably thinking of, like in this on our

803
00:39:22,840 --> 00:39:23,560
Speaker 2: current property.

804
00:39:23,680 --> 00:39:25,520
Speaker 3: Wasn't scific about what the time was?

805
00:39:25,680 --> 00:39:28,000
Speaker 2: No, No, but I know that this is the I mean,

806
00:39:28,040 --> 00:39:31,959
Speaker 2: there's probably some other times, but you know, we both

807
00:39:32,040 --> 00:39:35,240
Speaker 2: just went into the woods basically, and we had prep

808
00:39:35,320 --> 00:39:37,520
Speaker 2: stands the day before whatever, and we're in the dark.

809
00:39:37,719 --> 00:39:39,920
Speaker 2: He goes on to his spot and it was one

810
00:39:39,920 --> 00:39:41,480
Speaker 2: of those things where he kind of dropped me off

811
00:39:41,480 --> 00:39:43,840
Speaker 2: and I was just gonna walk right fifty yards and

812
00:39:43,960 --> 00:39:44,719
Speaker 2: right to my tree.

813
00:39:45,239 --> 00:39:46,960
Speaker 1: Well like an hour later, I'm.

814
00:39:46,800 --> 00:39:49,759
Speaker 2: Just stumbling around in the oak leaves, crunching around my

815
00:39:49,840 --> 00:39:53,320
Speaker 2: flashlight going everywhere and out of the just pitch black

816
00:39:53,440 --> 00:39:56,600
Speaker 2: quiet and still, you know, pre dawn nightness. I just

817
00:39:56,680 --> 00:40:00,160
Speaker 2: I can't remember the exact exploitives in the sense it

818
00:40:00,200 --> 00:40:04,239
Speaker 2: was basically yelling just sit down and way for it

819
00:40:04,400 --> 00:40:07,239
Speaker 2: to yell light. I'm like, oh, yeah, that's a good idea.

820
00:40:07,560 --> 00:40:09,320
Speaker 2: And of course when I got light, I could see

821
00:40:09,320 --> 00:40:10,560
Speaker 2: my trees stand.

822
00:40:10,760 --> 00:40:13,560
Speaker 3: A little lost and a little scared that time. Yeah,

823
00:40:13,600 --> 00:40:16,560
Speaker 3: the most scared I ever got was I was in college.

824
00:40:16,600 --> 00:40:19,279
Speaker 3: I was mushroom hunting along the Missouri River and it

825
00:40:19,360 --> 00:40:22,280
Speaker 3: was getting dark and it was just like a totally

826
00:40:22,360 --> 00:40:27,200
Speaker 3: monotonous forest of every tree looked the same, the ground

827
00:40:27,280 --> 00:40:29,960
Speaker 3: was totally flat, and at some point I didn't know

828
00:40:30,200 --> 00:40:32,480
Speaker 3: where I was or how to get back to the

829
00:40:32,640 --> 00:40:35,960
Speaker 3: road and my pickup. And this was before on X

830
00:40:36,040 --> 00:40:39,480
Speaker 3: was there, as before cell signal had so much coverage,

831
00:40:39,520 --> 00:40:41,400
Speaker 3: but I could get out a phone call if I

832
00:40:41,440 --> 00:40:43,480
Speaker 3: needed to. And so my plan was, once I was

833
00:40:43,520 --> 00:40:45,560
Speaker 3: lost for like a good hour, I was gonna call

834
00:40:45,600 --> 00:40:47,760
Speaker 3: one of my buddies, have him drive like an hour

835
00:40:47,960 --> 00:40:49,799
Speaker 3: to the road because he would know where I was at,

836
00:40:49,880 --> 00:40:51,719
Speaker 3: and then have him honk the horn. And I thought

837
00:40:51,719 --> 00:40:53,960
Speaker 3: that would guide me out of the woods. Luckily, right

838
00:40:54,000 --> 00:40:57,000
Speaker 3: before I got to that point, I made it out okay,

839
00:40:57,040 --> 00:40:59,719
Speaker 3: And it wasn't that serious, but I was concerned enough

840
00:40:59,719 --> 00:41:02,319
Speaker 3: where I was coming up with ideas of how to

841
00:41:02,320 --> 00:41:02,839
Speaker 3: get out of there.

842
00:41:02,880 --> 00:41:05,719
Speaker 1: And you were like, you're like right around twenty Yeah,

843
00:41:05,719 --> 00:41:05,920
Speaker 1: I was.

844
00:41:05,920 --> 00:41:07,840
Speaker 3: I was probably a freshman or sophomore college.

845
00:41:08,200 --> 00:41:10,600
Speaker 1: Yeah. I got lost one time coon hunting when I

846
00:41:10,680 --> 00:41:11,440
Speaker 1: was in high school.

847
00:41:11,800 --> 00:41:11,960
Speaker 4: Yeah.

848
00:41:11,960 --> 00:41:14,439
Speaker 1: I think it was a high school at night at night,

849
00:41:14,600 --> 00:41:18,520
Speaker 1: had like a mag light and that's it. And uh, I,

850
00:41:18,920 --> 00:41:23,200
Speaker 1: by accident, after several hours, by accially stumbled into my house.

851
00:41:24,400 --> 00:41:25,439
Speaker 3: Is that where you left from?

852
00:41:25,560 --> 00:41:26,000
Speaker 1: Was your house?

853
00:41:26,120 --> 00:41:31,720
Speaker 3: No, that's good. Okay, you were a little scared, I imagine.

854
00:41:31,840 --> 00:41:34,480
Speaker 1: I don't if I was scared not, but probably I

855
00:41:34,480 --> 00:41:34,959
Speaker 1: don't know.

856
00:41:35,000 --> 00:41:40,359
Speaker 3: All right, Yanni and Seth have their answer for one percentage.

857
00:41:39,400 --> 00:41:42,560
Speaker 2: The room there online, and their numbers are a lot

858
00:41:42,760 --> 00:41:43,560
Speaker 2: lower than mine.

859
00:41:43,680 --> 00:41:45,680
Speaker 3: So what percentage of listeners have gotten lost in the

860
00:41:45,719 --> 00:41:47,760
Speaker 3: woods to the point where they were scared? Go ahead

861
00:41:48,080 --> 00:41:53,080
Speaker 3: and reveal your answers. We have Yanni saying eighty seven percent,

862
00:41:53,719 --> 00:41:58,640
Speaker 3: and we have Seth saying eleven percent. The correct answer

863
00:41:59,560 --> 00:42:02,000
Speaker 3: is third eventy nine point one percent. I think that

864
00:42:02,080 --> 00:42:06,239
Speaker 3: means Seth gets that first point, but honestly, neither one

865
00:42:06,280 --> 00:42:10,160
Speaker 3: of you boys were very close. According to one study,

866
00:42:10,160 --> 00:42:13,279
Speaker 3: it's estimated that over four thousand, six hundred people get

867
00:42:13,320 --> 00:42:16,719
Speaker 3: lost in the woods each year. That's thirteen people per day.

868
00:42:17,000 --> 00:42:19,400
Speaker 3: Hikers make up forty eight percent of people lost in

869
00:42:19,400 --> 00:42:22,480
Speaker 3: the woods, with the most common demographics being men age

870
00:42:22,600 --> 00:42:26,000
Speaker 3: twenty to twenty five and men age fifty to sixty.

871
00:42:26,200 --> 00:42:29,040
Speaker 3: The three most common reasons people get lost is because

872
00:42:29,040 --> 00:42:31,640
Speaker 3: they got off a trail, failed to have a good plan,

873
00:42:31,960 --> 00:42:36,080
Speaker 3: and miscalculated time or distance. Phil, who was the closest

874
00:42:36,120 --> 00:42:37,640
Speaker 3: in the chat, to thirty nine point one.

875
00:42:37,719 --> 00:42:40,600
Speaker 1: Oh, we had Lane with the thirty eight and Devin

876
00:42:40,640 --> 00:42:41,640
Speaker 1: with thirty eight as well.

877
00:42:41,719 --> 00:42:46,120
Speaker 3: Well done Devin and Lane. Here's question two. What percentage

878
00:42:46,120 --> 00:42:48,160
Speaker 3: of meat eater listeners would give up hunt it or

879
00:42:48,200 --> 00:42:51,319
Speaker 3: excuse me, would give up fishing for a year in

880
00:42:51,440 --> 00:42:57,080
Speaker 3: exchange for their dream boat. What percentage of meat eater

881
00:42:57,200 --> 00:43:01,080
Speaker 3: listeners would give up fishing for a year in exchange

882
00:43:01,160 --> 00:43:04,360
Speaker 3: for their dream boat? Seth described for me your dream boat.

883
00:43:06,000 --> 00:43:08,120
Speaker 1: You know, my dream boat's not that crazy. It's just

884
00:43:08,160 --> 00:43:11,960
Speaker 1: a simple, like twenty foot tiller aluminum tiller boat.

885
00:43:12,160 --> 00:43:14,440
Speaker 3: Oh okay, yeah, yeah, I think mine would be uh

886
00:43:14,800 --> 00:43:16,960
Speaker 3: pretty pretty attainable as well. Would be like like a

887
00:43:17,000 --> 00:43:19,839
Speaker 3: seventeen foot long deep V yeah, with like a nice

888
00:43:19,840 --> 00:43:20,840
Speaker 3: open floor plane.

889
00:43:20,680 --> 00:43:23,680
Speaker 1: Like a one pro guide like tiller boat. Guys aren't

890
00:43:23,800 --> 00:43:26,439
Speaker 1: thinking this through. What do you mean like you could

891
00:43:26,520 --> 00:43:28,960
Speaker 1: have any if you were to give up fishing. It's

892
00:43:28,840 --> 00:43:31,680
Speaker 1: just saying you could have any boat of your dreams.

893
00:43:31,760 --> 00:43:33,680
Speaker 3: I know, but that the boat that I have the

894
00:43:33,680 --> 00:43:37,520
Speaker 3: most used for would be that one deep V seventeen foot.

895
00:43:38,360 --> 00:43:40,120
Speaker 3: I'd probably have a steering count.

896
00:43:40,200 --> 00:43:43,239
Speaker 2: But you've maybe never even been on an eighty foot catamarans?

897
00:43:44,000 --> 00:43:46,000
Speaker 3: What on earth am I going to do with that boat? Yanni?

898
00:43:46,120 --> 00:43:48,239
Speaker 2: Well, you want me to list off the things that

899
00:43:48,280 --> 00:43:49,640
Speaker 2: you could do on and off that.

900
00:43:49,600 --> 00:43:50,200
Speaker 1: Boat for me?

901
00:43:50,360 --> 00:43:51,240
Speaker 3: Yes? Go ahead?

902
00:43:51,480 --> 00:43:54,400
Speaker 2: Oh, you mean like live like here in Bozeman. Yes,

903
00:43:55,080 --> 00:43:57,399
Speaker 2: you can put it out on Canyon Ferry and have great,

904
00:43:57,400 --> 00:43:58,319
Speaker 2: big parties on it.

905
00:43:58,480 --> 00:44:02,359
Speaker 1: Okay, maybe not my dream you know, go and dive and.

906
00:44:02,520 --> 00:44:05,120
Speaker 3: What's your dream boat? Then? Since being Set, I.

907
00:44:05,120 --> 00:44:07,239
Speaker 1: Would I would have had to think about it a

908
00:44:07,280 --> 00:44:09,920
Speaker 1: little bit. I don't, but it wouldn't be no, you

909
00:44:10,000 --> 00:44:12,680
Speaker 1: know whatever. Fifty thousand dollars boat you guys are talking

910
00:44:13,080 --> 00:44:14,920
Speaker 1: A landing craft would also be nice for up in

911
00:44:14,960 --> 00:44:18,400
Speaker 1: the last time. See starting to think a little bit.

912
00:44:18,600 --> 00:44:21,400
Speaker 3: So what percentage of listeners would give up fishing for

913
00:44:21,680 --> 00:44:24,200
Speaker 3: a year in exchange for their dream boat? Seth, would

914
00:44:24,200 --> 00:44:24,520
Speaker 3: you do it?

915
00:44:26,600 --> 00:44:29,719
Speaker 1: Yeah? I probably would, Yeah, Josh, of course, yeah I

916
00:44:29,760 --> 00:44:30,640
Speaker 1: would do it too. Yeah.

917
00:44:30,760 --> 00:44:33,239
Speaker 2: Well there's some data for you boys. You know us

918
00:44:33,320 --> 00:44:36,040
Speaker 2: raise Okay, yeah, but they didn't work. For the last question,

919
00:44:36,200 --> 00:44:37,840
Speaker 2: all three of us have been lost and scared in

920
00:44:37,880 --> 00:44:38,280
Speaker 2: the woods.

921
00:44:39,640 --> 00:44:42,919
Speaker 3: I guess that's a good point. You guys have an answer. Yeah,

922
00:44:43,520 --> 00:44:47,400
Speaker 3: go ahead and reveal your answers. Okay, we have Yanni

923
00:44:47,520 --> 00:44:52,160
Speaker 3: saying eighty seven, little Set saying eighty percent, and you

924
00:44:52,280 --> 00:44:55,760
Speaker 3: boys are in the right neighborhood this time. The correct

925
00:44:55,800 --> 00:45:02,160
Speaker 3: answer is seventy five point one, giving se and the victory.

926
00:45:02,520 --> 00:45:06,240
Speaker 3: According to one study, the quintessential boat owner in America

927
00:45:06,480 --> 00:45:10,080
Speaker 3: is as described they are a suburban white man age

928
00:45:10,120 --> 00:45:13,040
Speaker 3: fifty four with an above average income. But that same

929
00:45:13,120 --> 00:45:16,279
Speaker 3: study shows a shift since COVID towards boat owners who

930
00:45:16,320 --> 00:45:19,319
Speaker 3: are younger and more diverse. Phil who was the closest in.

931
00:45:19,360 --> 00:45:22,800
Speaker 1: The chat, and Cody with seventy five point.

932
00:45:22,760 --> 00:45:27,359
Speaker 3: One percent off. Well done, Cody, all right. Question three,

933
00:45:27,560 --> 00:45:30,560
Speaker 3: We're gonna see if Seth can shut out Yanni make

934
00:45:30,640 --> 00:45:33,160
Speaker 3: him go streaking around the building as is tradition when

935
00:45:33,200 --> 00:45:36,759
Speaker 3: you get skunked. What percentage of meat eater listeners think

936
00:45:36,840 --> 00:45:42,719
Speaker 3: they're a better hunter than their dad? Yanni, who just

937
00:45:42,880 --> 00:45:46,480
Speaker 3: had some very honest conversations with his dad about thanking

938
00:45:46,600 --> 00:45:50,680
Speaker 3: him for hunting, And then Poppiannis apologized for yelling at Yanni,

939
00:45:50,800 --> 00:45:53,040
Speaker 3: do you think you're a better hunter than Papa?

940
00:45:53,120 --> 00:45:53,400
Speaker 4: Yanni?

941
00:45:54,200 --> 00:45:56,239
Speaker 1: Yes, and he would agree, He would tell you that.

942
00:45:56,480 --> 00:45:57,640
Speaker 3: All right, Seth, how about you?

943
00:45:57,960 --> 00:46:00,480
Speaker 1: Yeah, yeah, he would agree with too, Yeah, me too,

944
00:46:01,160 --> 00:46:01,480
Speaker 1: you too.

945
00:46:01,719 --> 00:46:03,160
Speaker 3: There's some more data for you guys.

946
00:46:03,239 --> 00:46:07,600
Speaker 1: You know that the data data has not been helping

947
00:46:07,880 --> 00:46:09,400
Speaker 1: this game. Cory, what about you?

948
00:46:10,040 --> 00:46:11,719
Speaker 7: Oh yeah, way better?

949
00:46:12,600 --> 00:46:14,960
Speaker 3: Better hunter, better fishermen, better golfer.

950
00:46:15,440 --> 00:46:18,799
Speaker 1: But I M there you go, yeah, yeah, that's true.

951
00:46:19,400 --> 00:46:22,560
Speaker 3: Again, what percentage of meat eater listeners think they're a

952
00:46:22,719 --> 00:46:29,000
Speaker 3: better hunter than their dad? Wow, the chat is good.

953
00:46:29,680 --> 00:46:29,960
Speaker 1: Stoke.

954
00:46:30,080 --> 00:46:32,600
Speaker 3: You guys are participating to this level. You're keeping feel

955
00:46:32,640 --> 00:46:33,279
Speaker 3: busy over there.

956
00:46:33,400 --> 00:46:35,440
Speaker 1: Yeah, yeah, lots of numbers.

957
00:46:35,560 --> 00:46:38,960
Speaker 3: At what percentage of listeners think they're a better hunter

958
00:46:39,120 --> 00:46:40,439
Speaker 3: than their dad? Are you boys ready?

959
00:46:40,760 --> 00:46:40,960
Speaker 1: Yep?

960
00:46:41,520 --> 00:46:45,399
Speaker 3: Go ahead and reveal your answers. We have Yanni saying

961
00:46:45,760 --> 00:46:52,840
Speaker 3: seventy six percent, seth is saying ninety seven. There's no

962
00:46:52,960 --> 00:46:57,040
Speaker 3: shut out. The correct answer is seventy seven. Was one

963
00:46:57,200 --> 00:47:01,680
Speaker 3: point five percent percentage points off of the correct answer. Now,

964
00:47:01,760 --> 00:47:04,680
Speaker 3: this is a bit surprising since previous pulling of our

965
00:47:04,760 --> 00:47:08,359
Speaker 3: audience showed that only forty two percent of listeners think

966
00:47:08,400 --> 00:47:12,040
Speaker 3: they're a better angler than the average angler, but an

967
00:47:12,120 --> 00:47:15,040
Speaker 3: overwhelming amount of listeners say they're a better hunter than

968
00:47:15,080 --> 00:47:18,800
Speaker 3: their dad. So either our audience is far more confident

969
00:47:18,840 --> 00:47:21,960
Speaker 3: in their hunting skills than fishing skills, or most of

970
00:47:22,040 --> 00:47:26,520
Speaker 3: them think their dad is a poor outdoorsman. Big, big discrepancy.

971
00:47:27,200 --> 00:47:31,600
Speaker 2: I would point it to the the availability of information that,

972
00:47:33,040 --> 00:47:36,799
Speaker 2: like the average average son versus the average dad at

973
00:47:36,840 --> 00:47:41,320
Speaker 2: this point in time had coming up because again I

974
00:47:41,360 --> 00:47:43,520
Speaker 2: didn't my dad got me into it, took me hunting.

975
00:47:43,840 --> 00:47:47,120
Speaker 2: But I would say that, you know, the large majority

976
00:47:47,120 --> 00:47:49,560
Speaker 2: of within my head about hunting did not come from him.

977
00:47:50,160 --> 00:47:50,319
Speaker 1: Yeah.

978
00:47:50,440 --> 00:47:54,440
Speaker 3: The the hurdles to get into hunting or whatever thing

979
00:47:54,480 --> 00:47:58,239
Speaker 3: you like, mushroom hunting, rock hunting, fishing, it's never been

980
00:47:58,320 --> 00:48:00,760
Speaker 3: easier because of all the information of it, bailable online

981
00:48:00,840 --> 00:48:02,600
Speaker 3: and podcast like this one.

982
00:48:03,680 --> 00:48:06,560
Speaker 1: All right, we had John Torres with seventy seven.

983
00:48:06,760 --> 00:48:13,319
Speaker 3: Seventy seven, Well done, John dang near nailed it, all right.

984
00:48:13,480 --> 00:48:16,520
Speaker 3: Last thing for today. Joining us on the line last

985
00:48:17,000 --> 00:48:20,759
Speaker 3: is Jim Heffelfinger, the Wildlife Science coordinator from the Arizona

986
00:48:20,880 --> 00:48:23,520
Speaker 3: Game and Fish Department. He's here to talk to us

987
00:48:23,520 --> 00:48:25,719
Speaker 3: about the addition of have Alina to the Boone and

988
00:48:25,800 --> 00:48:27,919
Speaker 3: Crocket record book. Jim, welcome to the show.

989
00:48:28,719 --> 00:48:30,000
Speaker 1: Good to be here. Jim.

990
00:48:30,040 --> 00:48:31,600
Speaker 3: Are you a better hunter than your dad?

991
00:48:32,719 --> 00:48:32,919
Speaker 4: Yes?

992
00:48:33,000 --> 00:48:34,840
Speaker 5: I think so because I taught him when he was

993
00:48:34,880 --> 00:48:35,560
Speaker 5: in his sixties.

994
00:48:35,760 --> 00:48:38,480
Speaker 3: Oh okay, that's an easy one for you to an Then,

995
00:48:39,040 --> 00:48:41,719
Speaker 3: all right, Jim, what was the motivation for getting have

996
00:48:41,840 --> 00:48:44,319
Speaker 3: Alina added to the Boone and Crocket Record Book.

997
00:48:44,800 --> 00:48:47,360
Speaker 5: Well, what is not to like about these cool things?

998
00:48:47,920 --> 00:48:50,800
Speaker 5: I mean, they're just little wild pigs that live in

999
00:48:50,840 --> 00:48:51,320
Speaker 5: the desert.

1000
00:48:51,920 --> 00:48:53,520
Speaker 1: Hold on, hold on, they're pigs.

1001
00:48:54,760 --> 00:48:56,279
Speaker 4: No, No, I was going to I was gonna get

1002
00:48:56,280 --> 00:49:00,759
Speaker 4: to that. Okay, so we call him pigs just as

1003
00:49:00,800 --> 00:49:01,360
Speaker 4: a nickname.

1004
00:49:01,680 --> 00:49:03,920
Speaker 5: But coming from South Texas, that was confusing to me

1005
00:49:04,040 --> 00:49:06,040
Speaker 5: because we had pigs and then we had these. It

1006
00:49:06,080 --> 00:49:08,960
Speaker 5: are not pigs. So habilina are not in the pig family,

1007
00:49:09,040 --> 00:49:11,759
Speaker 5: the suadey. They're in their own family, which is a

1008
00:49:11,800 --> 00:49:14,719
Speaker 5: peckory family, which is Teasu a day. And some people

1009
00:49:14,800 --> 00:49:17,320
Speaker 5: make a big deal out of them not being pigs,

1010
00:49:17,760 --> 00:49:19,880
Speaker 5: and they're really not because they're not in the pig family,

1011
00:49:19,960 --> 00:49:22,560
Speaker 5: but they're in a very closely related, kind of branched

1012
00:49:22,640 --> 00:49:24,280
Speaker 5: off little family, So I don't.

1013
00:49:24,120 --> 00:49:25,839
Speaker 4: Make a big deal out of it. But they're they're

1014
00:49:25,960 --> 00:49:26,440
Speaker 4: very different.

1015
00:49:26,440 --> 00:49:29,200
Speaker 5: And the reason they're different is the peckres, which is

1016
00:49:29,239 --> 00:49:31,399
Speaker 5: a habilina, is a colored pecory and there's three kinds

1017
00:49:31,400 --> 00:49:33,560
Speaker 5: of peckers. The other ones that are in Southern Mexico

1018
00:49:33,640 --> 00:49:36,600
Speaker 5: and South America. The peckers are a new world animal.

1019
00:49:36,640 --> 00:49:39,440
Speaker 5: They eve alve the North America and South America. The pigs,

1020
00:49:39,600 --> 00:49:42,080
Speaker 5: the real pig family is an old World animal that

1021
00:49:42,200 --> 00:49:44,840
Speaker 5: was then brought over here, and so's that's the difference.

1022
00:49:44,880 --> 00:49:47,080
Speaker 5: We had Peckery's in the place is seen running all

1023
00:49:47,120 --> 00:49:50,239
Speaker 5: over North America. They all went extinct and then the

1024
00:49:50,360 --> 00:49:54,239
Speaker 5: colored pecory reinvaded North America really in the last last

1025
00:49:54,320 --> 00:49:55,000
Speaker 5: thousand years.

1026
00:49:55,719 --> 00:49:58,399
Speaker 3: So the motivation for getting them added to the record book,

1027
00:49:58,400 --> 00:50:00,919
Speaker 3: it's just because what's not to love about a little

1028
00:50:00,920 --> 00:50:01,480
Speaker 3: bit exactly.

1029
00:50:01,520 --> 00:50:04,480
Speaker 5: They're just they're really cool animals. They're a hook big

1030
00:50:04,600 --> 00:50:07,839
Speaker 5: game animal. Arizona's been managing them as game animals since

1031
00:50:07,960 --> 00:50:11,480
Speaker 5: nineteen twenty nine. Texas and New Mexico has been managing

1032
00:50:11,520 --> 00:50:15,239
Speaker 5: them as game animals since the nineteen thirties. And like

1033
00:50:15,400 --> 00:50:17,959
Speaker 5: Arizona has a lottery style draw you have to apply

1034
00:50:18,239 --> 00:50:21,239
Speaker 5: and get a permit to have Helena's got twenty six

1035
00:50:21,360 --> 00:50:27,000
Speaker 5: thousand permits available and increasing trends in popularity in Arizona

1036
00:50:27,360 --> 00:50:32,320
Speaker 5: and New Mexico. They're managed sustainably in sustainable populations in

1037
00:50:32,400 --> 00:50:36,560
Speaker 5: all three states. And I just it's how they've escaped

1038
00:50:36,560 --> 00:50:38,400
Speaker 5: the bundicracket record book for one hundred years, is the

1039
00:50:38,440 --> 00:50:38,879
Speaker 5: real question.

1040
00:50:39,080 --> 00:50:41,239
Speaker 3: Yeah, And it was announced in December that Boone and

1041
00:50:41,320 --> 00:50:45,319
Speaker 3: Crocket would start tracking have Alina Records after a unanimous vote.

1042
00:50:45,440 --> 00:50:48,200
Speaker 3: What was the process like in getting them on board?

1043
00:50:49,719 --> 00:50:52,919
Speaker 5: Yeah, interesting story is I have an old Manila file

1044
00:50:53,000 --> 00:50:56,760
Speaker 5: folder from twenty years ago that says Havelena big Boonicrockett category.

1045
00:50:57,520 --> 00:51:00,960
Speaker 5: And I became a professional member of Bunda Rocket started

1046
00:51:01,000 --> 00:51:04,239
Speaker 5: going to meetings and meetings of Bundercrockett people, and I

1047
00:51:04,360 --> 00:51:07,520
Speaker 5: asked them that question, why is Hevelena not on the

1048
00:51:07,680 --> 00:51:09,840
Speaker 5: in the record books? And I just got kind of

1049
00:51:09,920 --> 00:51:13,160
Speaker 5: a collective shoulder shrug, like I don't know. And I

1050
00:51:13,360 --> 00:51:16,520
Speaker 5: was really passionate about making that happening, but there there's

1051
00:51:16,600 --> 00:51:18,320
Speaker 5: no there was no like momentum. I just kind of

1052
00:51:18,400 --> 00:51:21,360
Speaker 5: ran out of I wouldn't get any traction anywhere with anybody,

1053
00:51:21,400 --> 00:51:23,919
Speaker 5: and so I started raising a family and doing my job.

1054
00:51:24,000 --> 00:51:26,319
Speaker 5: And it was last year that Nicole Tapman from New

1055
00:51:26,360 --> 00:51:28,759
Speaker 5: Mexico Game and Fish called me and said, hey, would

1056
00:51:28,800 --> 00:51:31,120
Speaker 5: you write a letter to support putting Heavilena as a

1057
00:51:31,160 --> 00:51:32,280
Speaker 5: new record book category?

1058
00:51:32,320 --> 00:51:35,760
Speaker 4: And I said write a letter. I'm clearing my calendar.

1059
00:51:35,920 --> 00:51:37,239
Speaker 4: I mean, let's get the work.

1060
00:51:37,400 --> 00:51:40,480
Speaker 5: Let's let's start working on this. And so we We

1061
00:51:40,719 --> 00:51:44,000
Speaker 5: enlisted a couple of people from Mexico who have an

1062
00:51:44,080 --> 00:51:47,760
Speaker 5: interest in this, three people from Texas, Nicole from New Mexico,

1063
00:51:47,840 --> 00:51:49,520
Speaker 5: me from Arizona, and we all came together as a

1064
00:51:49,560 --> 00:51:53,480
Speaker 5: team and we wrote this proposal that was presented to

1065
00:51:53,480 --> 00:51:57,040
Speaker 5: the Buonicrockett Records Committee. Nicole's a member of the Records Committee.

1066
00:51:57,040 --> 00:51:59,560
Speaker 5: I'm kind of a recent member of the Records Committee

1067
00:51:59,560 --> 00:52:01,279
Speaker 5: and have a little asterisk by my name because I'm

1068
00:52:01,280 --> 00:52:04,160
Speaker 5: not an official measurer. But we were in the Records

1069
00:52:04,200 --> 00:52:07,799
Speaker 5: book committee meetings and we put together. First of all,

1070
00:52:07,960 --> 00:52:10,880
Speaker 5: we just put together some rudimentary information. We brought them,

1071
00:52:11,160 --> 00:52:13,879
Speaker 5: brought that to the Records Committee, and we said, we'd

1072
00:52:14,000 --> 00:52:15,800
Speaker 5: like to do this, there's good reason to do it.

1073
00:52:16,160 --> 00:52:18,120
Speaker 5: What we'd like from you is just to invite us

1074
00:52:18,200 --> 00:52:19,719
Speaker 5: to come back with a full proposal.

1075
00:52:20,040 --> 00:52:20,600
Speaker 4: And they did that.

1076
00:52:20,680 --> 00:52:22,600
Speaker 5: They were interested enough, they said let's see what you got.

1077
00:52:22,960 --> 00:52:24,799
Speaker 5: So we spent six months or so and we came

1078
00:52:24,880 --> 00:52:28,000
Speaker 5: back with a full proposal and some of the old

1079
00:52:28,080 --> 00:52:30,160
Speaker 5: some of the members of the Records Committee that have

1080
00:52:30,200 --> 00:52:33,440
Speaker 5: been there for decades, said they have never seen a

1081
00:52:33,880 --> 00:52:37,239
Speaker 5: more research and well put together proposal, and it was

1082
00:52:37,360 --> 00:52:40,640
Speaker 5: just really an overwhelming success. Everybody saw the information we

1083
00:52:40,719 --> 00:52:43,319
Speaker 5: brought to Baron and agreed that it was a pretty

1084
00:52:43,360 --> 00:52:46,200
Speaker 5: good idea. So they proved it in December, and now

1085
00:52:46,239 --> 00:52:48,800
Speaker 5: we're in the phase of implementing, kind of rolling it

1086
00:52:48,880 --> 00:52:50,000
Speaker 5: out and getting it set up.

1087
00:52:50,239 --> 00:52:51,919
Speaker 3: Well, you must have done a good job because again

1088
00:52:52,000 --> 00:52:55,120
Speaker 3: it was unanimously approved by Boone and Crockett. Now let's

1089
00:52:55,160 --> 00:52:58,080
Speaker 3: talk about scoring them. What measurements are taken on a

1090
00:52:58,120 --> 00:53:00,120
Speaker 3: have Alina, Yeah.

1091
00:53:00,040 --> 00:53:01,680
Speaker 4: It's going to be We want to keep things simple.

1092
00:53:01,680 --> 00:53:04,040
Speaker 5: We don't want something different for this kind of animal,

1093
00:53:04,080 --> 00:53:06,480
Speaker 5: so it's just length plus width like we do for

1094
00:53:06,560 --> 00:53:09,239
Speaker 5: bears and mountain lions. And you can see you in

1095
00:53:09,320 --> 00:53:13,160
Speaker 5: the background there as the Arizona record book. So Arizona's

1096
00:53:13,200 --> 00:53:16,399
Speaker 5: had a record book since nineteen seventy and keeping track

1097
00:53:16,480 --> 00:53:20,400
Speaker 5: of length plus width of the skull. Texas has had

1098
00:53:20,480 --> 00:53:24,160
Speaker 5: record books since twenty ten. New Mexico just uses sci

1099
00:53:24,360 --> 00:53:27,360
Speaker 5: of scoring. They don't have their state record book, so

1100
00:53:27,480 --> 00:53:32,480
Speaker 5: we have a huge body of information to guide us

1101
00:53:33,200 --> 00:53:35,880
Speaker 5: in how to measure them and what the minimum score

1102
00:53:36,400 --> 00:53:39,560
Speaker 5: might be. The one quirk was that all of those

1103
00:53:39,600 --> 00:53:42,960
Speaker 5: Arizona records, if you can see in the picture the

1104
00:53:43,360 --> 00:53:46,080
Speaker 5: incisors hang out a little bit farther than the skull

1105
00:53:46,160 --> 00:53:50,160
Speaker 5: bone itself. Wind Crockett always includes the teeth with lines

1106
00:53:50,520 --> 00:53:54,440
Speaker 5: and bears. The historical Arizona haling of records did not

1107
00:53:54,600 --> 00:53:58,719
Speaker 5: include those incisors, just the skull itself. And so we

1108
00:53:58,960 --> 00:54:01,640
Speaker 5: had to look at the historical records, and we looked

1109
00:54:01,680 --> 00:54:03,360
Speaker 5: at a whole bunch of Alina skulls and saw that

1110
00:54:03,480 --> 00:54:06,640
Speaker 5: the teeth add about one sixteenth or one eighth, and

1111
00:54:06,719 --> 00:54:08,560
Speaker 5: so we had to just kind of add that little

1112
00:54:08,600 --> 00:54:10,480
Speaker 5: bit to the score to get an idea of what

1113
00:54:10,840 --> 00:54:13,040
Speaker 5: a minimum score might be for avelna.

1114
00:54:13,280 --> 00:54:17,120
Speaker 1: So how many entries are in that Arizona book, Jim.

1115
00:54:17,800 --> 00:54:21,000
Speaker 5: About seven hundred in the Arizona Book. And the minimum

1116
00:54:21,080 --> 00:54:25,239
Speaker 5: score it started out, this is the nineteen seventies book.

1117
00:54:25,760 --> 00:54:27,920
Speaker 5: It started out with the minimum score. And this is

1118
00:54:27,960 --> 00:54:31,200
Speaker 5: all species. This is our state record book started out

1119
00:54:31,239 --> 00:54:33,879
Speaker 5: with a minimum score of like thirteen and something. It's

1120
00:54:33,960 --> 00:54:36,800
Speaker 5: been fourteen. This is our current book of all species.

1121
00:54:37,200 --> 00:54:40,520
Speaker 5: It's been fourteen inches for a long time. And so

1122
00:54:40,600 --> 00:54:43,480
Speaker 5: there's seven So there's seven hundred in there, which some

1123
00:54:43,520 --> 00:54:48,040
Speaker 5: of our grandfather but they're above fourteen. New Mexico's had

1124
00:54:48,600 --> 00:54:52,120
Speaker 5: using the sci they use for like fourteen in one

1125
00:54:52,239 --> 00:54:54,759
Speaker 5: sixteenth and Texas had a lower one to thirteen and

1126
00:54:55,280 --> 00:54:58,279
Speaker 5: and ten sixteenth. But to give you an idea of

1127
00:54:58,400 --> 00:55:01,640
Speaker 5: the range of those since we have this information, the

1128
00:55:02,400 --> 00:55:04,880
Speaker 5: largest have alina on record in any of those states

1129
00:55:05,000 --> 00:55:07,839
Speaker 5: is fifteen and seven sixteens. That gives you a good

1130
00:55:07,880 --> 00:55:11,160
Speaker 5: idea what pretty much maximum is, or at least what

1131
00:55:11,239 --> 00:55:14,360
Speaker 5: the goal is to be. And there's twenty one have

1132
00:55:14,440 --> 00:55:17,920
Speaker 5: alina that have been measured that are over fifteen inches.

1133
00:55:18,320 --> 00:55:20,200
Speaker 5: That gives you lets you kind of frame what that

1134
00:55:20,280 --> 00:55:24,279
Speaker 5: looks like. Seven hundred over fourteen inches and only twenty

1135
00:55:24,320 --> 00:55:25,360
Speaker 5: one over fifteen inches?

1136
00:55:25,640 --> 00:55:28,520
Speaker 3: And what's the minimum score going to be for Boonakrockett?

1137
00:55:28,640 --> 00:55:30,560
Speaker 3: Was there any disagreement on that number?

1138
00:55:31,640 --> 00:55:34,680
Speaker 5: Not disagreement, just a lot of discussion, and that's not

1139
00:55:34,880 --> 00:55:37,839
Speaker 5: finalized yet, so they're talking about that now. But having

1140
00:55:37,960 --> 00:55:41,160
Speaker 5: all of this data set for a new animal is

1141
00:55:41,239 --> 00:55:43,160
Speaker 5: so valuable because we can look at that and we

1142
00:55:43,200 --> 00:55:45,440
Speaker 5: could even do some little diagrams to say, well, if

1143
00:55:45,440 --> 00:55:48,200
Speaker 5: it's set at this limit, how many can we expect?

1144
00:55:48,719 --> 00:55:50,920
Speaker 4: Can we expect a lot? You know, over that amount?

1145
00:55:51,000 --> 00:55:53,120
Speaker 4: So it gives us that kind of basis information.

1146
00:55:53,960 --> 00:55:55,839
Speaker 5: But one important thing is we don't take all those

1147
00:55:55,880 --> 00:55:57,960
Speaker 5: records out of Texas and Arizona and throw them into

1148
00:55:57,960 --> 00:56:00,400
Speaker 5: Boone Crockett record book. Every skull will have to be

1149
00:56:00,480 --> 00:56:05,600
Speaker 5: measured by a Bondicrocket official measure, and so obviously all

1150
00:56:05,680 --> 00:56:07,920
Speaker 5: of those won't be in the Boondicrocket record But anybody

1151
00:56:07,920 --> 00:56:10,800
Speaker 5: it's got a big skull laying around, they can measure

1152
00:56:10,800 --> 00:56:13,640
Speaker 5: it themselves with length length plus with and just see

1153
00:56:14,520 --> 00:56:16,800
Speaker 5: where they are in relation to some of these numbers

1154
00:56:16,840 --> 00:56:19,759
Speaker 5: we're talking about. And then when this goes live, find

1155
00:56:19,800 --> 00:56:22,120
Speaker 5: an official measure if you think it's close and can

1156
00:56:22,160 --> 00:56:24,759
Speaker 5: get it measured, So any any skull people have can

1157
00:56:24,800 --> 00:56:27,359
Speaker 5: be brought in, just like now, if you find an

1158
00:56:27,400 --> 00:56:30,640
Speaker 5: old Cole's whitetail and grapasatic, you can enter it.

1159
00:56:31,040 --> 00:56:33,160
Speaker 3: Do you have any advice for hunters on how they

1160
00:56:33,200 --> 00:56:35,800
Speaker 3: can best field, judge a booner, have a lina.

1161
00:56:37,520 --> 00:56:40,439
Speaker 5: That's not easy, it's not even it's not even really

1162
00:56:40,560 --> 00:56:42,600
Speaker 5: possible to tell male from female unless you get a

1163
00:56:42,640 --> 00:56:44,759
Speaker 5: little side shot and you see like a penis sheath.

1164
00:56:44,840 --> 00:56:47,840
Speaker 5: But as far as size or any other characteristics, you

1165
00:56:47,920 --> 00:56:50,920
Speaker 5: can't even tell the sex, And so telling skull size

1166
00:56:51,600 --> 00:56:54,719
Speaker 5: isn't always going to be body size. An animal that

1167
00:56:54,840 --> 00:56:57,480
Speaker 5: grows up the first couple of years with not much nutrition.

1168
00:56:57,960 --> 00:56:59,960
Speaker 5: So there's my dad that with his haavelna eighty nine

1169
00:57:00,160 --> 00:57:02,400
Speaker 5: years old, he killed a meal there at ninety the

1170
00:57:02,480 --> 00:57:05,279
Speaker 5: next year and he's ninety one now. So the thing

1171
00:57:05,360 --> 00:57:08,839
Speaker 5: with the skull measurement is that the big skull has

1172
00:57:09,160 --> 00:57:12,560
Speaker 5: to start with good nutrition the first year. So an

1173
00:57:12,560 --> 00:57:14,600
Speaker 5: animal doesn't have good nutrition for the first couple of

1174
00:57:14,680 --> 00:57:17,040
Speaker 5: years and then has gets into an aag field and

1175
00:57:17,160 --> 00:57:19,640
Speaker 5: gets a real fat body, it may not have a

1176
00:57:19,720 --> 00:57:21,760
Speaker 5: big skull. So I think what's going to be important

1177
00:57:21,840 --> 00:57:24,440
Speaker 5: is an animal it grows up mother has good nutrition.

1178
00:57:24,920 --> 00:57:27,720
Speaker 5: That animal has good nutrition year one, two, three, four,

1179
00:57:27,800 --> 00:57:29,959
Speaker 5: and I think that skull is going to come along

1180
00:57:30,040 --> 00:57:32,680
Speaker 5: with that nutrition. So it's gonna be hard to judge.

1181
00:57:32,680 --> 00:57:34,480
Speaker 5: It's gonna be hard to feel judge an animal. But

1182
00:57:34,560 --> 00:57:37,040
Speaker 5: it's a fun thing because havevelina are so fun to hunt,

1183
00:57:37,360 --> 00:57:39,160
Speaker 5: and it's a fun thing to have this little extra

1184
00:57:39,280 --> 00:57:41,240
Speaker 5: thing that you can go check and see.

1185
00:57:41,280 --> 00:57:42,400
Speaker 4: If you've got a book pig.

1186
00:57:42,960 --> 00:57:45,720
Speaker 3: Now, Jim, what are some things you predict that we'll

1187
00:57:45,800 --> 00:57:49,240
Speaker 3: learn about have alina Once these records are compiled. Is

1188
00:57:49,280 --> 00:57:52,000
Speaker 3: there gonna be some decade or a year that produced

1189
00:57:52,040 --> 00:57:54,919
Speaker 3: an unusual amount of records. Will we realize that there's

1190
00:57:54,920 --> 00:57:57,520
Speaker 3: a subspecies we didn't know about and is like some

1191
00:57:57,800 --> 00:58:00,840
Speaker 3: county in Texas or Arizona sub going to be thought

1192
00:58:00,840 --> 00:58:04,200
Speaker 3: of as the Buffalo County of whitetails for Havelina.

1193
00:58:05,720 --> 00:58:08,160
Speaker 5: I don't think we'll find a different subspecies because we

1194
00:58:08,280 --> 00:58:11,240
Speaker 5: have enough measurements now to kind of compare that. But

1195
00:58:11,440 --> 00:58:14,919
Speaker 5: the Boondicrocket record books were originally designed not so people

1196
00:58:14,920 --> 00:58:16,920
Speaker 5: could brag about the big animal they killed, but to

1197
00:58:17,160 --> 00:58:19,960
Speaker 5: document North America's big game animals.

1198
00:58:20,280 --> 00:58:22,080
Speaker 4: And so this is just in line with.

1199
00:58:22,160 --> 00:58:24,680
Speaker 5: The original purpose of these record books is to start

1200
00:58:24,760 --> 00:58:27,920
Speaker 5: documenting some of his biological information for Haveilina, and so

1201
00:58:28,080 --> 00:58:31,400
Speaker 5: we may be able to look at geographic differences. I

1202
00:58:31,520 --> 00:58:33,600
Speaker 5: don't think we're going to see annual differences like we

1203
00:58:33,720 --> 00:58:35,480
Speaker 5: do and antlers that are grown every year because of

1204
00:58:35,480 --> 00:58:38,400
Speaker 5: what I just talked about with skulls needing that nutrition there.

1205
00:58:38,680 --> 00:58:41,080
Speaker 5: But we may find areas like if you look at

1206
00:58:41,080 --> 00:58:44,040
Speaker 5: a soil map and compare that to Boonicrocket whitetail entries,

1207
00:58:44,320 --> 00:58:48,440
Speaker 5: you see a correlation with thick fertile soils like Buffalo County,

1208
00:58:48,600 --> 00:58:51,840
Speaker 5: Wisconsin and whole Mississippi River Valley. I think we may

1209
00:58:51,920 --> 00:58:54,959
Speaker 5: see something like that, although with Haveilina, we might find

1210
00:58:55,000 --> 00:58:57,800
Speaker 5: that Havelina's Buffalo County or the one county where all

1211
00:58:57,920 --> 00:59:00,600
Speaker 5: the big trophies come from might be a county in

1212
00:59:00,680 --> 00:59:03,400
Speaker 5: Texas that has the highest deensity of feeders or something feeding.

1213
00:59:05,040 --> 00:59:06,520
Speaker 4: It's probably not going.

1214
00:59:06,360 --> 00:59:07,840
Speaker 5: To be like in the middle of the son Orange

1215
00:59:07,840 --> 00:59:11,120
Speaker 5: Desert where they're they're eating a pretty fair fruits and

1216
00:59:11,680 --> 00:59:13,160
Speaker 5: digging for roots and things like that.

1217
00:59:13,560 --> 00:59:16,080
Speaker 3: Well, that's a good prediction. I think you're going to

1218
00:59:16,120 --> 00:59:18,040
Speaker 3: be right there. Jim, Well, thank you for joining us

1219
00:59:18,080 --> 00:59:21,000
Speaker 3: today and thanks for fighting on behalf of the have Alina.

1220
00:59:22,640 --> 00:59:24,000
Speaker 4: I'm happy to you. They're awesome.

1221
00:59:24,280 --> 00:59:25,960
Speaker 1: Have a good one, Thanks Jan Thanks Jim too.

1222
00:59:27,880 --> 00:59:28,040
Speaker 4: Yeah.

1223
00:59:28,240 --> 00:59:28,640
Speaker 1: Have you killed?

1224
00:59:28,680 --> 00:59:29,840
Speaker 3: How many Helena? Have you killed?

1225
00:59:30,120 --> 00:59:30,919
Speaker 1: Exactly one?

1226
00:59:31,080 --> 00:59:32,840
Speaker 3: Okay? Have you ever measured it?

1227
00:59:33,000 --> 00:59:34,640
Speaker 1: I have it my will tonight. Yeah?

1228
00:59:34,720 --> 00:59:34,920
Speaker 4: Do it?

1229
00:59:34,960 --> 00:59:36,840
Speaker 3: Do you have calipers at home or are you gonna

1230
00:59:36,960 --> 00:59:37,680
Speaker 3: use a tape measure?

1231
00:59:38,480 --> 00:59:41,840
Speaker 1: I do have calipers, Okay, I believe in my reloading kit.

1232
00:59:42,720 --> 00:59:44,880
Speaker 3: You let us know what that thing is going to score. Yeah,

1233
00:59:45,400 --> 00:59:48,040
Speaker 3: then maybe tell tell Jim what it is so he

1234
00:59:48,120 --> 00:59:51,120
Speaker 3: can fight for the the minimum to be right at

1235
00:59:51,160 --> 00:59:51,600
Speaker 3: that number.

1236
00:59:52,480 --> 00:59:53,840
Speaker 1: There you go, all right.

1237
00:59:53,960 --> 00:59:56,120
Speaker 3: That brings us to the end of this week's show. Phil.

1238
00:59:56,160 --> 00:59:57,840
Speaker 3: Let's get some final feedback from the chat.

1239
00:59:58,800 --> 01:00:01,480
Speaker 6: Yeah, last call for question for the crew only got

1240
01:00:01,480 --> 01:00:04,640
Speaker 6: a few so far, so get those rolling in zeb

1241
01:00:04,720 --> 01:00:06,880
Speaker 6: zooms asks who in the office is the best with

1242
01:00:07,040 --> 01:00:07,480
Speaker 6: their bow?

1243
01:00:08,320 --> 01:00:10,760
Speaker 3: I bet it is whoever shoots the most, which is

1244
01:00:10,960 --> 01:00:12,040
Speaker 3: maybe Yannis.

1245
01:00:12,840 --> 01:00:15,040
Speaker 1: I don't know who the best is with their bow.

1246
01:00:15,640 --> 01:00:17,280
Speaker 3: I'll say you, who would you say?

1247
01:00:17,320 --> 01:00:17,760
Speaker 1: If not you?

1248
01:00:18,440 --> 01:00:21,600
Speaker 2: I don't know Corey. Who else shoots hunts with their bow?

1249
01:00:21,720 --> 01:00:26,800
Speaker 2: Bunch Logan Logan? Yeah, Logan like last year killed two

1250
01:00:26,920 --> 01:00:29,280
Speaker 2: or three big games with his bow.

1251
01:00:30,000 --> 01:00:32,320
Speaker 3: Maybe we'll find out in the future, but we'll say

1252
01:00:32,440 --> 01:00:35,040
Speaker 3: Logan and janis right now best with their bow.

1253
01:00:36,280 --> 01:00:39,760
Speaker 1: Cool Jordan. Question for Phil favorite tiki cocktail?

1254
01:00:39,920 --> 01:00:42,040
Speaker 3: Can I guess have at it my tie?

1255
01:00:42,760 --> 01:00:44,360
Speaker 1: Incorrect? That's one.

1256
01:00:44,920 --> 01:00:49,040
Speaker 3: How about like like a fruit punch with rum rum punch?

1257
01:00:50,080 --> 01:00:52,960
Speaker 6: Uh, it's the same as Richard Nixon's. It's called the

1258
01:00:53,040 --> 01:00:56,520
Speaker 6: Navy grog. It's it's described there's several different ways to

1259
01:00:56,600 --> 01:00:58,400
Speaker 6: make it, but it's uh, it's one of the few

1260
01:00:59,160 --> 01:01:02,000
Speaker 6: big teiky drinks. It's like kind of grapefruit forward, so

1261
01:01:02,160 --> 01:01:05,760
Speaker 6: it's you know, strong rum, more straw, different kind of

1262
01:01:05,800 --> 01:01:08,840
Speaker 6: strong rum. All spice dram which is like basically what

1263
01:01:08,920 --> 01:01:10,480
Speaker 6: it sounds like. It's kind of like an all spice

1264
01:01:10,720 --> 01:01:15,320
Speaker 6: really like warming spice syrup. I guess it's more of

1265
01:01:15,400 --> 01:01:19,000
Speaker 6: a liqueur and lime juice and a bunch of other

1266
01:01:20,000 --> 01:01:22,840
Speaker 6: stuff in there, but it's strong. It's well balanced though, and.

1267
01:01:22,960 --> 01:01:25,080
Speaker 1: She said there's some grapefruit in there. It's really easy

1268
01:01:25,120 --> 01:01:26,880
Speaker 1: to make. Yeah, yeah, fresh grapefruit juice.

1269
01:01:26,960 --> 01:01:29,680
Speaker 3: What would be the silver and bronze medalists for top

1270
01:01:29,800 --> 01:01:30,920
Speaker 3: tiki cocktail men.

1271
01:01:30,920 --> 01:01:33,760
Speaker 6: Well, as far as classics go, Planters Punch, that's a

1272
01:01:33,800 --> 01:01:37,440
Speaker 6: really easy one to make. It's very simple. And then

1273
01:01:38,520 --> 01:01:40,640
Speaker 6: you know my ties up there as well, they all

1274
01:01:40,720 --> 01:01:42,960
Speaker 6: kind of I mean, we went to false Idol and

1275
01:01:43,040 --> 01:01:44,920
Speaker 6: sand in San Diego's Punts here and I could tell

1276
01:01:44,960 --> 01:01:47,360
Speaker 6: you were kind of underwhelmed by the classic tiaki drinks

1277
01:01:47,360 --> 01:01:48,760
Speaker 6: because a lot of them kind of taste the same.

1278
01:01:48,840 --> 01:01:51,280
Speaker 6: It's like a lot of lime, a lot of rum,

1279
01:01:51,720 --> 01:01:53,960
Speaker 6: and then some it's the other stuff that sets the

1280
01:01:54,040 --> 01:01:57,400
Speaker 6: drinks apart. But I mean every tiki bar in America

1281
01:01:57,480 --> 01:02:00,560
Speaker 6: has like their own sort of house menu. They they

1282
01:02:00,600 --> 01:02:03,440
Speaker 6: get wild and just, and that's where you can find

1283
01:02:03,480 --> 01:02:06,040
Speaker 6: some some good hidden gems. But as far as classicsco

1284
01:02:06,160 --> 01:02:07,880
Speaker 6: it's the it's the Navy grog underwhelm.

1285
01:02:07,880 --> 01:02:10,200
Speaker 3: But I'd say, like a bad tiki drink is still

1286
01:02:10,520 --> 01:02:13,600
Speaker 3: a good cocktail. But the what's what's it called the

1287
01:02:13,680 --> 01:02:14,160
Speaker 3: navy one?

1288
01:02:14,400 --> 01:02:15,000
Speaker 1: Navy grog?

1289
01:02:15,200 --> 01:02:16,920
Speaker 3: Navy grog. That's what we're gonna drink at you and

1290
01:02:17,000 --> 01:02:18,240
Speaker 3: Seth's bachelor party.

1291
01:02:18,400 --> 01:02:19,560
Speaker 1: Oh yeah, I'm looking forward to this.

1292
01:02:20,280 --> 01:02:22,080
Speaker 2: How much lime juice would you have to add to

1293
01:02:22,200 --> 01:02:24,800
Speaker 2: a rum and coke to turn it into a tiki drink?

1294
01:02:25,280 --> 01:02:27,680
Speaker 6: Well, got to get the coke out of their first

1295
01:02:28,200 --> 01:02:32,360
Speaker 6: No coke, no coke, No, I mean more fruit. Yeah, yeah,

1296
01:02:32,520 --> 01:02:34,600
Speaker 6: I mean it's there, there is man.

1297
01:02:34,480 --> 01:02:36,640
Speaker 3: What is there that?

1298
01:02:36,880 --> 01:02:40,720
Speaker 6: Yeah, that's that's that's a tiki adjacent drink, Like a

1299
01:02:40,760 --> 01:02:44,120
Speaker 6: lot of those kind of Cuban those Cuban inspired drinks are.

1300
01:02:44,480 --> 01:02:46,680
Speaker 1: You know, rum tiaka drinks draw a lot of inspiration

1301
01:02:46,800 --> 01:02:48,240
Speaker 1: from from from that.

1302
01:02:48,480 --> 01:02:50,520
Speaker 3: If you don't want to call it a rum and coke, Yanni,

1303
01:02:50,560 --> 01:02:52,520
Speaker 3: if you wanted to have like an upscale name. You'd

1304
01:02:52,560 --> 01:02:53,840
Speaker 3: call it a Cuba libre.

1305
01:02:53,680 --> 01:02:55,520
Speaker 1: Which is just a ramen coke with a lime wedge.

1306
01:02:55,600 --> 01:02:56,000
Speaker 3: Exactly.

1307
01:02:56,080 --> 01:02:58,560
Speaker 1: Yeah, yeah, sque what else we got from the chat?

1308
01:02:58,960 --> 01:03:01,280
Speaker 6: You know, I was I was about my tiki drinks.

1309
01:03:01,280 --> 01:03:02,920
Speaker 6: So I haven't been reading the chat. So if you

1310
01:03:02,960 --> 01:03:04,000
Speaker 6: guys want to make some small.

1311
01:03:03,800 --> 01:03:06,240
Speaker 1: Talco, try about your live stream in there.

1312
01:03:06,640 --> 01:03:10,720
Speaker 6: Oh yeah, the Red Dead live stream. I'm it's it's

1313
01:03:10,800 --> 01:03:13,360
Speaker 6: going to happen very in in the next few months.

1314
01:03:13,640 --> 01:03:17,120
Speaker 6: Most likely. I'm in the midst of planning it, making graphics,

1315
01:03:17,320 --> 01:03:19,040
Speaker 6: making overlays. I don't want it to be just me

1316
01:03:19,120 --> 01:03:21,720
Speaker 6: playing video games because that sucks. So I'm trying to

1317
01:03:21,720 --> 01:03:24,080
Speaker 6: make it fun and for even people who don't care

1318
01:03:24,120 --> 01:03:24,840
Speaker 6: about video games.

1319
01:03:24,880 --> 01:03:27,840
Speaker 1: You should have a little tiki bar during your live stream. Oh,

1320
01:03:28,880 --> 01:03:31,640
Speaker 1: just just sip on drinks the light bulb.

1321
01:03:31,840 --> 01:03:36,800
Speaker 6: Just that's incredible, incredible suggestion. So that's absolutely happening.

1322
01:03:37,640 --> 01:03:41,040
Speaker 2: Random Doctor Randall has been very active in the chat

1323
01:03:41,120 --> 01:03:45,280
Speaker 2: room today, like he's not working and just chatting in

1324
01:03:45,360 --> 01:03:45,720
Speaker 2: the chat.

1325
01:03:46,160 --> 01:03:48,640
Speaker 3: Don't discourage that, Yannie. We want the crew members to

1326
01:03:48,680 --> 01:03:49,120
Speaker 3: be in the chat.

1327
01:03:49,280 --> 01:03:51,120
Speaker 6: You know, here's here's the here's what I'm going to

1328
01:03:51,160 --> 01:03:53,200
Speaker 6: say about Randall. The reason I'm not addressing his his

1329
01:03:53,560 --> 01:03:57,160
Speaker 6: very ecstatic tiki drink comments is because I'm pretty sure

1330
01:03:57,200 --> 01:04:00,320
Speaker 6: I misled Randall about the drink that Phil Spector drink

1331
01:04:00,360 --> 01:04:02,480
Speaker 6: that night. I don't believe it was a Navy grog. Randall,

1332
01:04:02,520 --> 01:04:05,680
Speaker 6: I think it was a zombie, and I apologize over

1333
01:04:05,720 --> 01:04:07,640
Speaker 6: the last few months. If you've told that story to

1334
01:04:07,720 --> 01:04:09,840
Speaker 6: your friends, you gotta call him back. Tell it not

1335
01:04:09,960 --> 01:04:12,600
Speaker 6: the Navy grog. It was the zombie that Phil Spector

1336
01:04:12,680 --> 01:04:19,800
Speaker 6: drank before he murdered his girlfriend. Okay, sorry, Randall called

1337
01:04:19,880 --> 01:04:21,040
Speaker 6: us liars earlier.

1338
01:04:22,440 --> 01:04:26,800
Speaker 1: It was at eleven. I don't know chat's Marcus. Sometimes

1339
01:04:26,840 --> 01:04:27,960
Speaker 1: you don't know what they're referring to.

1340
01:04:28,200 --> 01:04:30,280
Speaker 3: Eleven forty two. We'd have probably been playing meat pole

1341
01:04:30,320 --> 01:04:32,880
Speaker 3: at that time. So one of the three of us, Oh.

1342
01:04:32,800 --> 01:04:33,280
Speaker 1: Wait, Randall.

1343
01:04:33,320 --> 01:04:36,120
Speaker 6: Randall says he told he just pulled that from Wikipedia,

1344
01:04:36,200 --> 01:04:38,080
Speaker 6: So maybe it was the Navy grog. There's a lot

1345
01:04:38,080 --> 01:04:39,840
Speaker 6: of tiki layer out there, guys. You can get lost

1346
01:04:39,880 --> 01:04:42,040
Speaker 6: in it. And that's that's that's where we will end.

1347
01:04:42,040 --> 01:04:42,680
Speaker 1: The tiki talk.

1348
01:04:42,840 --> 01:04:45,040
Speaker 3: Okay, what else you got through? Anything else from the chat?

1349
01:04:46,600 --> 01:04:48,600
Speaker 6: I don't know what this means, but Taylor as Spencer.

1350
01:04:48,640 --> 01:04:50,840
Speaker 6: Have you ever found any uper Light rock hounding?

1351
01:04:50,920 --> 01:04:53,200
Speaker 3: I have not found youber Light. The Great Lakes region

1352
01:04:53,360 --> 01:04:56,480
Speaker 3: is largely unexplored for me when it comes to rock counting,

1353
01:04:56,760 --> 01:05:01,080
Speaker 3: But there are a lot of aspirational foss jams rocks

1354
01:05:01,120 --> 01:05:03,520
Speaker 3: over there that I would love to uh get on

1355
01:05:03,760 --> 01:05:06,360
Speaker 3: someday and uper Light at the top of the list.

1356
01:05:06,440 --> 01:05:08,960
Speaker 3: I have traded some people for you per Light, so

1357
01:05:09,000 --> 01:05:11,120
Speaker 3: I have you per Light in my collection, but none

1358
01:05:11,520 --> 01:05:12,520
Speaker 3: that I have found yet.

1359
01:05:12,800 --> 01:05:13,960
Speaker 1: What about lever rights?

1360
01:05:15,720 --> 01:05:18,280
Speaker 3: That's I heard that joke for the first time from

1361
01:05:18,720 --> 01:05:19,200
Speaker 3: Max Bart.

1362
01:05:19,360 --> 01:05:19,880
Speaker 5: I like that.

1363
01:05:20,120 --> 01:05:23,200
Speaker 3: So you said, did you find any lever Light?

1364
01:05:24,000 --> 01:05:28,440
Speaker 1: You do it to set? This is something Max, Have

1365
01:05:28,560 --> 01:05:31,600
Speaker 1: you found any lever rights? Right?

1366
01:05:31,720 --> 01:05:31,880
Speaker 7: Rock?

1367
01:05:33,080 --> 01:05:34,440
Speaker 1: Kind of rock right there?

1368
01:05:35,600 --> 01:05:39,040
Speaker 6: Rand He was referring to people lying about being scared

1369
01:05:39,120 --> 01:05:39,640
Speaker 6: or lost time.

1370
01:05:40,680 --> 01:05:45,120
Speaker 2: Yeah, Randall's time to update that YouTube chat room picture, buddy,

1371
01:05:46,320 --> 01:05:49,560
Speaker 2: Why is that? It's just doesn't look like Randall?

1372
01:05:49,760 --> 01:05:51,240
Speaker 1: Really like Randall? Yeah?

1373
01:05:51,720 --> 01:05:53,480
Speaker 3: Anything else from the chatville.

1374
01:05:53,680 --> 01:05:56,360
Speaker 6: Someone asked favorite way to cook turkey legs and thighs.

1375
01:05:56,400 --> 01:05:59,360
Speaker 6: Since you know it's still turkey season, it hasn't been started.

1376
01:06:01,600 --> 01:06:03,760
Speaker 6: I feel like when Turkey Week is over at meat eater.

1377
01:06:03,840 --> 01:06:06,320
Speaker 6: It just I mean, as somebody who doesn't hunt turkeys,

1378
01:06:06,320 --> 01:06:07,600
Speaker 6: I just feel like the season's.

1379
01:06:07,240 --> 01:06:09,960
Speaker 1: Over, so it honestly should be Turkey month. Hey, I agree.

1380
01:06:10,000 --> 01:06:12,040
Speaker 2: Hey, you're the second guy to say that in this

1381
01:06:12,240 --> 01:06:15,240
Speaker 2: room in the last seven days, maybe eight days.

1382
01:06:15,320 --> 01:06:17,360
Speaker 1: Did you say that too last week? There?

1383
01:06:18,600 --> 01:06:22,280
Speaker 2: But I got a hot tip from I got a

1384
01:06:22,320 --> 01:06:25,919
Speaker 2: bunch of hot tips about cooking down in Texas last

1385
01:06:26,120 --> 01:06:29,760
Speaker 2: or two weeks ago. And another one was that instead

1386
01:06:29,800 --> 01:06:34,960
Speaker 2: of doing the uh slow cooker with your legs and thighs,

1387
01:06:35,680 --> 01:06:41,920
Speaker 2: do the brazing pot. What's the what I'm looking for? No, no, no, no,

1388
01:06:42,160 --> 01:06:45,400
Speaker 2: like like the one you put it like a cat. Yeah,

1389
01:06:45,840 --> 01:06:48,160
Speaker 2: use a Dutch of him. I did that a couple

1390
01:06:48,160 --> 01:06:53,560
Speaker 2: of nights ago, and just the difference is very demonstrable,

1391
01:06:53,800 --> 01:06:58,800
Speaker 2: like like way more tender. It actually took less time

1392
01:07:00,160 --> 01:07:03,920
Speaker 2: of liquid needed, you know, about the same amount I

1393
01:07:04,040 --> 01:07:07,840
Speaker 2: actually left I was. I didn't fully cover all my

1394
01:07:08,120 --> 01:07:11,120
Speaker 2: the I did all drumsticks in this batch. I had

1395
01:07:11,160 --> 01:07:12,760
Speaker 2: two or three of them that were like at least

1396
01:07:12,840 --> 01:07:16,520
Speaker 2: half sticking out. They didn't dry out. So somehow that

1397
01:07:16,760 --> 01:07:19,560
Speaker 2: seal was just somehow better than in the slow cooker.

1398
01:07:20,080 --> 01:07:22,800
Speaker 2: And uh, yeah, I mean, I usually give my drumsticks

1399
01:07:22,840 --> 01:07:25,000
Speaker 2: like eight hours, I would say in the slow cooker,

1400
01:07:25,320 --> 01:07:28,600
Speaker 2: and this was done in like five because I kept

1401
01:07:29,000 --> 01:07:31,280
Speaker 2: I kept checking them. And the hardest part about it

1402
01:07:31,480 --> 01:07:33,560
Speaker 2: is to get your oven tempt set just right so

1403
01:07:33,640 --> 01:07:35,320
Speaker 2: you're not ripping too hard, but you're.

1404
01:07:35,200 --> 01:07:36,840
Speaker 1: Still just rolling a little bit.

1405
01:07:37,200 --> 01:07:40,000
Speaker 2: And I was fluctuating a bunch and I ended at

1406
01:07:40,520 --> 01:07:43,320
Speaker 2: two forty was where my oven need to be set

1407
01:07:43,400 --> 01:07:47,120
Speaker 2: just to get that just nice slow roll. And uh yeah,

1408
01:07:47,320 --> 01:07:50,600
Speaker 2: I was, like I said, Jesse had told me to

1409
01:07:50,760 --> 01:07:53,400
Speaker 2: do this and it paid dividends.

1410
01:07:53,680 --> 01:07:56,080
Speaker 3: Yeah, with any any turkey legs, you're probably looking in

1411
01:07:56,200 --> 01:08:00,320
Speaker 3: like three very important things low, slow, and liquid and evan.

1412
01:08:00,480 --> 01:08:02,960
Speaker 3: To answer your question about favorite ways cooking, go to

1413
01:08:03,040 --> 01:08:06,280
Speaker 3: the mediater dot com. At our recipes page, you can

1414
01:08:06,480 --> 01:08:10,200
Speaker 3: sort by ingredients so you can see all the turkey

1415
01:08:10,280 --> 01:08:12,400
Speaker 3: recipes there with just a click of the button. And

1416
01:08:12,520 --> 01:08:15,760
Speaker 3: people can leave reviews on our recipes so you can

1417
01:08:15,840 --> 01:08:19,840
Speaker 3: see what other visitors to the website have liked or disliked.

1418
01:08:20,240 --> 01:08:22,439
Speaker 3: You'll see how many reviews there are, how many stars

1419
01:08:22,520 --> 01:08:25,280
Speaker 3: it's gotten. You'll find all kinds of good recipes over there.

1420
01:08:25,439 --> 01:08:28,479
Speaker 3: Seth anything to add about cooking turkey legs.

1421
01:08:29,560 --> 01:08:32,240
Speaker 1: No, I just yeah, it's got to be low and slow.

1422
01:08:33,640 --> 01:08:35,960
Speaker 3: Well, let's let's do yeah one last place.

1423
01:08:36,200 --> 01:08:38,519
Speaker 6: Yeah, one last from a guy named Garrett Long. Sounds

1424
01:08:38,560 --> 01:08:41,759
Speaker 6: like a dumb name. Plus two to who in the office?

1425
01:08:42,560 --> 01:08:45,280
Speaker 6: Who would win the most dangerous game? Who would hunt

1426
01:08:45,280 --> 01:08:46,439
Speaker 6: to the most dangerous game?

1427
01:08:46,680 --> 01:08:47,200
Speaker 1: The best.

1428
01:08:48,560 --> 01:08:48,720
Speaker 8: Mean?

1429
01:08:49,479 --> 01:08:52,599
Speaker 1: I don't know, Yeah, I don't know what that means either.

1430
01:08:52,640 --> 01:08:55,240
Speaker 1: But who do you think would be able to hunt people.

1431
01:08:55,280 --> 01:08:56,639
Speaker 3: The most dangerous game?

1432
01:08:58,240 --> 01:09:01,120
Speaker 1: Who would win? So the most is gameing quotes is

1433
01:09:01,160 --> 01:09:02,599
Speaker 1: a thing that you all know about.

1434
01:09:02,840 --> 01:09:06,320
Speaker 3: But I that I think that implies that we're hunting humans.

1435
01:09:07,479 --> 01:09:11,439
Speaker 1: Probably are folks that have actually done it. Okay, that's

1436
01:09:11,439 --> 01:09:15,080
Speaker 1: gonna be dark this question, Garrett, why would you ask.

1437
01:09:17,560 --> 01:09:19,280
Speaker 3: Folks are veterans in the office?

1438
01:09:19,400 --> 01:09:19,760
Speaker 1: There you go.

1439
01:09:20,200 --> 01:09:23,800
Speaker 3: Are you happy with that answer, Garrett Long? Okay, that's

1440
01:09:23,840 --> 01:09:26,120
Speaker 3: going to bring us to the end of the show.

1441
01:09:26,760 --> 01:09:32,280
Speaker 1: Folks, you guys back next are the show? Sorry,