1
00:00:04,040 --> 00:00:09,760
Speaker 1: Smell off now, lady, Welcome to Meet Eater Trivia podcast.

2
00:00:26,280 --> 00:00:29,160
Speaker 2: Welcome to mete To Radio live at eleven am Mountain Time.

3
00:00:29,360 --> 00:00:33,120
Speaker 2: That's nine am for our friends in North Pole, Alaska

4
00:00:33,600 --> 00:00:36,240
Speaker 2: on Thursday, December eighteen, and we're live for Meet Eater

5
00:00:36,479 --> 00:00:39,559
Speaker 2: HQ in Bozeman. I'm your host, Spencer, joined today by

6
00:00:39,640 --> 00:00:43,480
Speaker 2: Corey and Cal. On today's show, we'll interview dear biologist

7
00:00:43,479 --> 00:00:46,839
Speaker 2: Matt Ross about identifying buck tracks. Then we have a

8
00:00:46,880 --> 00:00:50,000
Speaker 2: hot tip off about European mounts, followed by a game

9
00:00:50,040 --> 00:00:52,440
Speaker 2: of meat pole where we'll find out how much Corey

10
00:00:52,479 --> 00:00:55,440
Speaker 2: and Cal know about their fellow outdoorsman. After that, we'll

11
00:00:55,440 --> 00:00:58,600
Speaker 2: talk to Trent Presler about the history of Christmas trees,

12
00:00:58,880 --> 00:01:03,360
Speaker 2: and finally we'll look at some regrettable outdoor tattoos. Cory Cow.

13
00:01:03,440 --> 00:01:06,000
Speaker 2: We are a week away from Christmas. I'm sure you

14
00:01:06,080 --> 00:01:10,480
Speaker 2: have some big, fancy meal plans already in the works.

15
00:01:10,959 --> 00:01:13,120
Speaker 2: What are we gonna be eating Christmas Day? Cal?

16
00:01:13,680 --> 00:01:17,160
Speaker 1: I have, Well, it's probably not gonna be Christmas Day.

17
00:01:17,640 --> 00:01:23,559
Speaker 1: Christmas Eve, I have like a nice standing antelope rib roast,

18
00:01:23,880 --> 00:01:26,080
Speaker 1: a cut special for the occasion.

19
00:01:26,240 --> 00:01:27,520
Speaker 2: How many folks are you feeding with that?

20
00:01:29,880 --> 00:01:31,600
Speaker 1: You know? It's an antelope, so it'll be like an

21
00:01:31,640 --> 00:01:35,240
Speaker 1: appetizer type of deal, you know. But yeah, it'll be

22
00:01:35,319 --> 00:01:38,600
Speaker 1: like I think it's a six rib rack, and then

23
00:01:38,959 --> 00:01:41,160
Speaker 1: so I have two of those and then I kind

24
00:01:41,160 --> 00:01:45,400
Speaker 1: of bind them together and make a circle. Okay, And

25
00:01:46,560 --> 00:01:49,560
Speaker 1: you know, I struggle with making things fancy and too

26
00:01:49,640 --> 00:01:52,800
Speaker 1: fancy because I don't I don't want it to be

27
00:01:53,000 --> 00:01:55,760
Speaker 1: like some super fancy thing.

28
00:01:55,840 --> 00:01:58,320
Speaker 2: Okay, more approachable. If you're leaving ribs in it, then

29
00:01:58,400 --> 00:01:59,680
Speaker 2: already like elevates it.

30
00:02:00,160 --> 00:02:03,320
Speaker 1: I think, Yeah, it'll be good, make like little hats

31
00:02:03,320 --> 00:02:04,040
Speaker 1: on there or anything.

32
00:02:04,640 --> 00:02:05,880
Speaker 2: Yeah, how are you gonna make it?

33
00:02:07,160 --> 00:02:09,480
Speaker 1: Just meetium rare man like, Yeah, put it on the

34
00:02:09,480 --> 00:02:13,440
Speaker 1: pellet grill, figures itself out. Yeah, you just don't do

35
00:02:13,600 --> 00:02:15,960
Speaker 1: not overcook that stuff and it looks real pretty.

36
00:02:16,040 --> 00:02:19,040
Speaker 2: So Corey, what are we serving at the Culkin's household

37
00:02:19,080 --> 00:02:19,800
Speaker 2: this Christmas?

38
00:02:19,840 --> 00:02:23,520
Speaker 3: Man? We typically do a fond due Christmas night, Okay,

39
00:02:23,560 --> 00:02:26,120
Speaker 3: so probably some do you need.

40
00:02:26,080 --> 00:02:28,640
Speaker 1: Cheese or oil cheese cheese?

41
00:02:28,720 --> 00:02:31,480
Speaker 3: Yeah, go to Costco get some fancy cheeses, and then

42
00:02:31,560 --> 00:02:34,119
Speaker 3: just do all the sides. Probably do some wild game sausage,

43
00:02:34,200 --> 00:02:38,520
Speaker 3: some fruits and bread. Probably do some little steak bites

44
00:02:38,560 --> 00:02:41,560
Speaker 3: in there at least for myself, but probably start the

45
00:02:41,600 --> 00:02:44,760
Speaker 3: day with some black Bear biscuits and gravy. I'm thinking

46
00:02:45,280 --> 00:02:48,760
Speaker 3: a little white gravy in the morning, just thinking maybe

47
00:02:48,800 --> 00:02:53,280
Speaker 3: just two meals on Christmas, one in the morning.

48
00:02:51,200 --> 00:02:55,079
Speaker 1: And what what what with with your son there? How

49
00:02:55,120 --> 00:02:57,600
Speaker 1: do what time does Christmas kick off?

50
00:02:58,520 --> 00:03:00,760
Speaker 3: He gets pretty antsy and wakes up a little extra

51
00:03:00,840 --> 00:03:02,399
Speaker 3: earlier this morning, so good.

52
00:03:02,440 --> 00:03:04,120
Speaker 2: He earned it big time.

53
00:03:05,600 --> 00:03:07,680
Speaker 4: This year, so.

54
00:03:09,200 --> 00:03:09,560
Speaker 2: He was.

55
00:03:10,040 --> 00:03:13,000
Speaker 1: Keep in mind, I did an impartial audit because when

56
00:03:13,040 --> 00:03:15,160
Speaker 1: I was at the on X event, I spoke with

57
00:03:15,200 --> 00:03:16,120
Speaker 1: your next door neighbor.

58
00:03:16,280 --> 00:03:21,440
Speaker 3: Oh yeah, Colorado, yep uh. He was definitely on the

59
00:03:21,440 --> 00:03:24,560
Speaker 3: fence this year. But we jumped in and did the

60
00:03:24,600 --> 00:03:26,960
Speaker 3: Elf on the Shelf, which has helped us out a

61
00:03:27,000 --> 00:03:31,040
Speaker 3: lot because Elf, of course moves around throughout the throughout

62
00:03:31,040 --> 00:03:32,840
Speaker 3: the house. Every morning he's in a new spot and

63
00:03:32,880 --> 00:03:35,720
Speaker 3: he's going to report to Sanna like double time. Sanna

64
00:03:35,800 --> 00:03:38,240
Speaker 3: is always listening. But the Elf on the Shelf like

65
00:03:38,520 --> 00:03:41,240
Speaker 3: really deep digs deep in like double oh seven style,

66
00:03:41,680 --> 00:03:44,920
Speaker 3: reports back to Sanna. So ever since Elf on the Shelf,

67
00:03:44,920 --> 00:03:45,840
Speaker 3: he's kind of picked it up.

68
00:03:45,880 --> 00:03:46,760
Speaker 2: So we'll see.

69
00:03:46,800 --> 00:03:48,560
Speaker 3: He's got a week to go. I hope he makes

70
00:03:48,560 --> 00:03:50,400
Speaker 3: it on the nice list. I got a big bag

71
00:03:50,440 --> 00:03:54,440
Speaker 3: of Kingsford charcoal if if things stay the same, But

72
00:03:55,040 --> 00:03:55,560
Speaker 3: he'll make it.

73
00:03:55,800 --> 00:04:00,320
Speaker 1: He just to introduced that big brother culture early on. Yeah,

74
00:04:00,360 --> 00:04:01,240
Speaker 1: a little lie in the sky.

75
00:04:01,480 --> 00:04:04,640
Speaker 2: Uh huh. Cory is wearing a nice black eye today

76
00:04:04,880 --> 00:04:07,800
Speaker 2: that Marshall did play a role in. Uh, he was there.

77
00:04:07,880 --> 00:04:10,680
Speaker 2: We're not going to address that today. Besides, right now

78
00:04:10,760 --> 00:04:14,280
Speaker 2: you can get the story of of Corey's battle wound

79
00:04:14,400 --> 00:04:17,800
Speaker 2: on next week's episode. It's not that obvious meat eater

80
00:04:17,920 --> 00:04:21,840
Speaker 2: radio a little bit. Yeah, I'm going to deep fry

81
00:04:21,880 --> 00:04:25,240
Speaker 2: my first turkey this Christmas, a hen that I killed

82
00:04:25,360 --> 00:04:28,560
Speaker 2: in Idaho. You boys have any advice besides you know,

83
00:04:28,640 --> 00:04:30,160
Speaker 2: doing it frozen in the kitchen?

84
00:04:30,640 --> 00:04:33,120
Speaker 1: Yeah, exactly did you, Brian?

85
00:04:33,720 --> 00:04:35,520
Speaker 2: I have not yet. It is I just got it

86
00:04:35,520 --> 00:04:37,400
Speaker 2: out of the freezer this morning. It's going to get

87
00:04:37,400 --> 00:04:40,720
Speaker 2: into a Brian. I think on Monday will be the plan. Cool.

88
00:04:41,480 --> 00:04:46,360
Speaker 1: I would in your your run of show, right, which

89
00:04:46,400 --> 00:04:50,279
Speaker 1: is always like nice thing to just right out ahead total,

90
00:04:52,920 --> 00:05:03,000
Speaker 1: I would budget in twelve hours of air circulation in

91
00:05:03,080 --> 00:05:05,880
Speaker 1: the refrigerator drying out post Brian.

92
00:05:06,160 --> 00:05:08,400
Speaker 3: Yeah, that make sure it's nice and dry.

93
00:05:08,640 --> 00:05:11,520
Speaker 1: Yeah, and you can like you know, like load up

94
00:05:11,520 --> 00:05:13,520
Speaker 1: I hate waste and paper towels, but you can like

95
00:05:13,560 --> 00:05:16,080
Speaker 1: load up the cavity with paper towels and do a

96
00:05:16,120 --> 00:05:22,480
Speaker 1: couple of swaps there that'll help. But like getting getting

97
00:05:22,520 --> 00:05:28,880
Speaker 1: that skin getting everything like dry, sure is a is

98
00:05:28,880 --> 00:05:31,919
Speaker 1: a great? That's is its skin on?

99
00:05:32,040 --> 00:05:32,200
Speaker 4: Right?

100
00:05:32,240 --> 00:05:34,520
Speaker 2: You skin on, pluck the whole thing. It's a hen.

101
00:05:34,600 --> 00:05:37,159
Speaker 2: It's probably like I don't know, twelve or thirteen pounds.

102
00:05:37,200 --> 00:05:39,840
Speaker 2: I haven't weighed yet, but it should be good.

103
00:05:40,360 --> 00:05:41,680
Speaker 1: So did you go all the way out to the

104
00:05:41,720 --> 00:05:42,279
Speaker 1: wing tips?

105
00:05:42,360 --> 00:05:42,480
Speaker 2: Oh?

106
00:05:42,520 --> 00:05:46,480
Speaker 1: Yeah, yeah, that's the whole asper for presentation. It really

107
00:05:46,480 --> 00:05:50,600
Speaker 1: does make a difference. Yeah, it's hard. Good for you.

108
00:05:50,760 --> 00:05:53,200
Speaker 2: That's very excited. I've got a five course meal plan.

109
00:05:53,360 --> 00:05:55,360
Speaker 2: That's going to be the fifth and final course. It's

110
00:05:55,360 --> 00:05:59,360
Speaker 2: going to be the climax of the whole meal. So nice,

111
00:05:59,360 --> 00:06:00,159
Speaker 2: a lot of pressure.

112
00:06:00,240 --> 00:06:01,280
Speaker 3: Do you need a turkey fryer?

113
00:06:01,560 --> 00:06:04,440
Speaker 2: I got one. I have one of those ready to go.

114
00:06:04,800 --> 00:06:06,880
Speaker 2: Normally this time of year you can use just like

115
00:06:06,960 --> 00:06:09,680
Speaker 2: your front porch as a refrigerator. But it's been so

116
00:06:09,800 --> 00:06:12,720
Speaker 2: damn warm lately, because you know, the fridge gets so

117
00:06:12,880 --> 00:06:15,479
Speaker 2: full on Christmas. I don't think it's even cold enough

118
00:06:15,480 --> 00:06:16,200
Speaker 2: outside to keep.

119
00:06:16,120 --> 00:06:19,120
Speaker 1: Your Are you doing like a soup course?

120
00:06:19,640 --> 00:06:22,120
Speaker 2: We've got a soup course. I've got an antelope squash

121
00:06:22,360 --> 00:06:26,320
Speaker 2: sausage that that'll come right before the turkey. I think.

122
00:06:26,360 --> 00:06:29,919
Speaker 2: Before that, I've got what is it, some mac and cheese.

123
00:06:29,960 --> 00:06:32,040
Speaker 2: Before that, it's some roasted carrots. Before that, we've got

124
00:06:32,040 --> 00:06:32,800
Speaker 2: a winter salad.

125
00:06:33,360 --> 00:06:37,960
Speaker 1: So five courses and dessert course obviously, well if you.

126
00:06:37,920 --> 00:06:41,840
Speaker 2: Count that six courses, I'm still trying to learn how

127
00:06:41,839 --> 00:06:44,000
Speaker 2: to bake, so I'm gonna whip up some cookies that morning.

128
00:06:44,760 --> 00:06:49,080
Speaker 2: That'll be the sixth and final course. Nice, very excited, Yeah,

129
00:06:49,200 --> 00:06:51,760
Speaker 2: very cool Christmas? Who are you putting the show on for?

130
00:06:52,320 --> 00:06:55,560
Speaker 2: My wife? A couple of friends, sister in law. So

131
00:06:55,640 --> 00:06:57,720
Speaker 2: we got six people in the houses.

132
00:06:58,800 --> 00:07:00,440
Speaker 1: Very manageable, right.

133
00:07:00,360 --> 00:07:02,120
Speaker 2: We can we can do it. It'll be a team

134
00:07:02,120 --> 00:07:02,640
Speaker 2: effort though.

135
00:07:03,440 --> 00:07:06,279
Speaker 1: All right, ahead of time to let's get on with

136
00:07:06,440 --> 00:07:07,000
Speaker 1: the show.

137
00:07:07,240 --> 00:07:10,320
Speaker 2: Joining us on the line first is Matt Ross, the

138
00:07:10,440 --> 00:07:14,520
Speaker 2: senior director of conservation for the National Deer Association. He's

139
00:07:14,520 --> 00:07:17,120
Speaker 2: going to tell us about what's fact and what's fiction

140
00:07:17,240 --> 00:07:20,280
Speaker 2: when it comes to identifying buck tracks. Matt, Welcome to

141
00:07:20,320 --> 00:07:20,640
Speaker 2: the show.

142
00:07:22,240 --> 00:07:27,720
Speaker 5: Hey, guys very much feel very underdressed, at least inappropriately dressed.

143
00:07:27,800 --> 00:07:28,520
Speaker 6: You guys look great.

144
00:07:28,600 --> 00:07:32,200
Speaker 1: Oh we like that first light gear there, Buddy Well Warren.

145
00:07:32,360 --> 00:07:35,240
Speaker 2: Yeah, you you were dressed like a dear biologist. We

146
00:07:35,320 --> 00:07:40,440
Speaker 2: are dressed like dummy. Podcast Christmas fellas, all right, I

147
00:07:40,480 --> 00:07:43,440
Speaker 2: want to start off talking about do clause explain what

148
00:07:43,480 --> 00:07:44,960
Speaker 2: they are and what purpose they serve.

149
00:07:46,320 --> 00:07:51,080
Speaker 5: Do clause are their digits? They're like extra digits, you know.

150
00:07:51,400 --> 00:07:55,320
Speaker 5: Do clause are on deer anyway, we're talking about deer

151
00:07:55,440 --> 00:07:58,800
Speaker 5: are vestigial. They're like a remnant digit, a little bit

152
00:07:59,200 --> 00:08:02,840
Speaker 5: up from the actual hoof. But all mammals, or most

153
00:08:02,880 --> 00:08:08,520
Speaker 5: mammals and birds and other animals actually have dew claws.

154
00:08:08,560 --> 00:08:11,400
Speaker 5: Think of your pets, if you've got a dog, cat,

155
00:08:11,640 --> 00:08:13,840
Speaker 5: they have those little extra digits up the back from

156
00:08:13,880 --> 00:08:19,680
Speaker 5: their pad, their normal pad. Even some bird species like raptors, owls, eagles, hawks,

157
00:08:20,040 --> 00:08:22,559
Speaker 5: they have that extra claw. For most animals that actually

158
00:08:22,600 --> 00:08:27,760
Speaker 5: have dew claws, they don't really serve a purpose except

159
00:08:27,800 --> 00:08:30,840
Speaker 5: for raptors of course they're they're using them to catch

160
00:08:30,840 --> 00:08:34,880
Speaker 5: fish and tear fish and other uh, other prey animals.

161
00:08:34,880 --> 00:08:37,920
Speaker 6: But on deer itself, they're those extra digits.

162
00:08:38,000 --> 00:08:41,720
Speaker 5: They have a cratness or like, you know, kind of

163
00:08:41,720 --> 00:08:45,440
Speaker 5: a hoof material on them, and uh, they're behind the

164
00:08:45,520 --> 00:08:47,400
Speaker 5: actual hoof and a little bit a little bit up

165
00:08:47,440 --> 00:08:47,800
Speaker 5: from that.

166
00:08:48,679 --> 00:08:49,640
Speaker 6: But they're vestigial.

167
00:08:49,720 --> 00:08:54,160
Speaker 5: They're not used deer of a couple of remnant things

168
00:08:54,280 --> 00:08:57,920
Speaker 5: on them. If you've ever killed a deer with upper canines,

169
00:08:57,960 --> 00:09:00,199
Speaker 5: those are, you know, an evolutionary throwback.

170
00:09:00,440 --> 00:09:02,079
Speaker 6: That's what dew claws are. They're part of.

171
00:09:02,040 --> 00:09:05,640
Speaker 5: The animal family that has an even numbered of toes.

172
00:09:06,440 --> 00:09:09,920
Speaker 5: You know, all of the servids of deer, elk, and

173
00:09:10,160 --> 00:09:14,000
Speaker 5: other species moose. And instead of two hoofs, they used

174
00:09:14,040 --> 00:09:16,000
Speaker 5: to have four, now they only use two.

175
00:09:15,840 --> 00:09:18,560
Speaker 2: Of them now. Most hunters would tell you that you

176
00:09:18,600 --> 00:09:22,640
Speaker 2: can identify a buck track by the dew claw indentations.

177
00:09:22,920 --> 00:09:24,760
Speaker 2: Is that true?

178
00:09:24,960 --> 00:09:26,040
Speaker 6: That is not true.

179
00:09:27,080 --> 00:09:30,120
Speaker 5: Both bucks and does actually have dew claws, so it's

180
00:09:30,120 --> 00:09:34,120
Speaker 5: not sex specific. So if you're saying just because dew

181
00:09:34,120 --> 00:09:37,240
Speaker 5: claws are present in the track, it must be a buck,

182
00:09:38,120 --> 00:09:41,080
Speaker 5: that could be a buck, but it's it's not a

183
00:09:41,120 --> 00:09:43,360
Speaker 5: definitive thing. They both sexes have them.

184
00:09:44,480 --> 00:09:47,360
Speaker 2: Now. Another common bit of wisdom deer hunters will tell

185
00:09:47,400 --> 00:09:50,000
Speaker 2: you is that buck hooves spread the furthest apart. So

186
00:09:50,280 --> 00:09:52,240
Speaker 2: if you see a track that is shaped like a

187
00:09:52,280 --> 00:09:54,320
Speaker 2: heart where there's a lot of space between the pads,

188
00:09:54,600 --> 00:09:56,560
Speaker 2: then that's a buck. Is that true?

189
00:09:58,360 --> 00:10:03,880
Speaker 6: That is also probably not is reliable of a thing

190
00:10:03,920 --> 00:10:04,360
Speaker 6: to use.

191
00:10:04,960 --> 00:10:09,120
Speaker 5: Most deer might spread their hoofs apart based on their weight,

192
00:10:09,280 --> 00:10:12,080
Speaker 5: and so you could have a big female or a

193
00:10:12,120 --> 00:10:15,520
Speaker 5: big male buck or dough that that could spread their

194
00:10:15,520 --> 00:10:18,400
Speaker 5: toes apart. It also could be based on their gate

195
00:10:18,480 --> 00:10:20,920
Speaker 5: and how quickly they're moving, or the material.

196
00:10:20,559 --> 00:10:22,920
Speaker 6: That they're stepping down on. So if it's you know,

197
00:10:23,040 --> 00:10:25,680
Speaker 6: soft mud, their toes might spread apart.

198
00:10:25,840 --> 00:10:32,880
Speaker 7: So generally the everybody's Yeah, generally, the heavier the deer,

199
00:10:33,080 --> 00:10:36,160
Speaker 7: the likelihood of those those hoofs spreading apart will happen.

200
00:10:36,240 --> 00:10:38,559
Speaker 5: But just because it's doing it, I wouldn't say it's

201
00:10:38,600 --> 00:10:39,800
Speaker 5: a reliable estimator.

202
00:10:40,600 --> 00:10:43,839
Speaker 2: I've also heard it said that hooves can be like fingerprints,

203
00:10:43,840 --> 00:10:46,200
Speaker 2: where some deer will produce unique tracks that you can

204
00:10:46,640 --> 00:10:48,800
Speaker 2: identify them by. Is that true?

205
00:10:50,080 --> 00:10:53,760
Speaker 6: Yeah, they could be true. I think the likelihood is

206
00:10:53,760 --> 00:10:54,160
Speaker 6: is low.

207
00:10:54,200 --> 00:10:56,480
Speaker 5: I mean, most deer hoofs look the same, so most

208
00:10:56,480 --> 00:10:58,920
Speaker 5: tracks look the same. But I mean I've seen and

209
00:10:59,000 --> 00:11:02,520
Speaker 5: killed deer that had unique characteristics in their hooves. Never

210
00:11:02,559 --> 00:11:04,080
Speaker 5: gone back to go look to see if I could

211
00:11:04,080 --> 00:11:07,679
Speaker 5: find that track. And I've never used a track. Maybe

212
00:11:07,679 --> 00:11:10,680
Speaker 5: you guys have to track a deer, but you know,

213
00:11:10,720 --> 00:11:14,679
Speaker 5: they mess up their hooves, their material that grows constantly,

214
00:11:14,760 --> 00:11:17,800
Speaker 5: but they can chip pieces off or parts of it.

215
00:11:17,880 --> 00:11:21,679
Speaker 5: Might if they're disease like with epizootic haemorrhagic disease or EHD,

216
00:11:21,800 --> 00:11:23,160
Speaker 5: their hooves can crack.

217
00:11:23,280 --> 00:11:26,760
Speaker 6: So that is true. Have you guys ether ever experienced that.

218
00:11:27,559 --> 00:11:30,000
Speaker 2: I don't know that I've seen a unique track where

219
00:11:30,000 --> 00:11:33,680
Speaker 2: I'm like, that is a weird walking buck, you.

220
00:11:33,559 --> 00:11:36,040
Speaker 1: Guys, I feel like I've read about it, sure, but

221
00:11:36,080 --> 00:11:38,840
Speaker 1: I've never not first hand, no.

222
00:11:38,360 --> 00:11:39,840
Speaker 2: Corey anything with elk deer.

223
00:11:40,520 --> 00:11:43,040
Speaker 3: The buck I killed this year, actually I knew he

224
00:11:43,440 --> 00:11:46,560
Speaker 3: had a limp, at least from the landowner told me, like,

225
00:11:46,600 --> 00:11:48,559
Speaker 3: look for a buck that's got a pretty obvious limp

226
00:11:48,840 --> 00:11:53,679
Speaker 3: and old and his hooves were extremely large and elongate,

227
00:11:53,920 --> 00:11:56,360
Speaker 3: so just in a normal track, I could tell that

228
00:11:56,920 --> 00:11:58,560
Speaker 3: at least guess that that was him.

229
00:11:58,640 --> 00:12:00,360
Speaker 2: Okay, yeah, you knew his finger print.

230
00:12:00,640 --> 00:12:04,200
Speaker 1: Yeah, but that's just being big though, right.

231
00:12:05,280 --> 00:12:08,480
Speaker 3: My thought went to Old, like really old nasty hoofs.

232
00:12:08,800 --> 00:12:11,240
Speaker 3: They were indented, almost hallow the inside.

233
00:12:11,400 --> 00:12:13,760
Speaker 1: I feel like there's like an old outdoor life story

234
00:12:13,880 --> 00:12:17,839
Speaker 1: of like a bowl that has like it's missing the

235
00:12:18,679 --> 00:12:21,560
Speaker 1: front part of it's of one of its toes there,

236
00:12:22,120 --> 00:12:23,640
Speaker 1: you know, and it's like, that's that's how.

237
00:12:26,080 --> 00:12:28,520
Speaker 2: The last bit of tracking wisdom I've heard is that

238
00:12:28,800 --> 00:12:32,400
Speaker 2: buck tracks are just simply bigger than dough tracks. Please

239
00:12:32,480 --> 00:12:33,679
Speaker 2: tell us that's at least true.

240
00:12:34,840 --> 00:12:35,480
Speaker 6: Yeah, that's true.

241
00:12:35,520 --> 00:12:38,200
Speaker 5: I mean bucks generally are bigger than than does and

242
00:12:38,240 --> 00:12:43,280
Speaker 5: so if you're looking at tracks, the largest ones would

243
00:12:43,320 --> 00:12:47,240
Speaker 5: likely be a buck just because they're they're bigger animals.

244
00:12:48,040 --> 00:12:51,440
Speaker 6: That that from a sexual dimorphism. But there's a lot

245
00:12:51,440 --> 00:12:52,240
Speaker 6: of overlap there.

246
00:12:52,240 --> 00:12:55,600
Speaker 5: As you're showing on the screen, you know, being able

247
00:12:55,679 --> 00:12:59,959
Speaker 5: to take somebody to an individual track and say, definitive,

248
00:13:00,760 --> 00:13:04,200
Speaker 5: this is absolutely a buck. You know, there's only a

249
00:13:04,200 --> 00:13:07,800
Speaker 5: small percentage, it's five ten percent of all tracks that

250
00:13:07,840 --> 00:13:10,280
Speaker 5: would be on that right end of the scale there

251
00:13:10,640 --> 00:13:12,920
Speaker 5: where you could say, well, that's likely a buck. But

252
00:13:14,280 --> 00:13:16,240
Speaker 5: there's a lot of overlap. I mean, just because it's

253
00:13:16,240 --> 00:13:18,800
Speaker 5: got big tracks doesn't necessarily mean it's it's a buck.

254
00:13:19,120 --> 00:13:21,839
Speaker 5: And if you're interested in antler's You know, there's a

255
00:13:21,880 --> 00:13:24,880
Speaker 5: lot of probably large antler deer walking around for bucks

256
00:13:24,880 --> 00:13:28,840
Speaker 5: that have medium to small size, So you may be

257
00:13:28,880 --> 00:13:32,520
Speaker 5: able to set, you know, segregate bucks out a slight

258
00:13:32,559 --> 00:13:35,040
Speaker 5: a bit, but there is a ton of overlap, as

259
00:13:35,080 --> 00:13:35,960
Speaker 5: that graphic shows.

260
00:13:36,160 --> 00:13:37,960
Speaker 2: And how big of tracks are we talking If we

261
00:13:38,000 --> 00:13:40,160
Speaker 2: want to be sure that we're looking at a buck track,

262
00:13:40,280 --> 00:13:42,720
Speaker 2: what size does it need to approach to be like, okay,

263
00:13:42,840 --> 00:13:44,920
Speaker 2: that that is a mature buck.

264
00:13:45,880 --> 00:13:48,280
Speaker 5: Where you're looking at that graphic right there, you know,

265
00:13:48,360 --> 00:13:51,600
Speaker 5: at least in that study that was from Georgia, you know,

266
00:13:51,640 --> 00:13:54,079
Speaker 5: the tracks that are more than four inches in length,

267
00:13:54,120 --> 00:13:58,640
Speaker 5: at least down there, it would change geographically. So you know,

268
00:13:58,679 --> 00:14:01,679
Speaker 5: I live in upstate New York in the foothills of

269
00:14:01,720 --> 00:14:04,040
Speaker 5: the Adirondics. Deer here are much larger than they are

270
00:14:04,040 --> 00:14:06,360
Speaker 5: in Georgia. Is where you guys are in Montana. So

271
00:14:06,760 --> 00:14:08,920
Speaker 5: you know, a deer track that's probably four and a

272
00:14:08,960 --> 00:14:13,600
Speaker 5: half five inches in length and overall three to three

273
00:14:13,640 --> 00:14:16,360
Speaker 5: and a half inches wide or wider is going to

274
00:14:16,360 --> 00:14:19,920
Speaker 5: be a large deer. And then you'd be looking at

275
00:14:20,960 --> 00:14:24,480
Speaker 5: probably some if not most of those being bucks.

276
00:14:25,000 --> 00:14:26,840
Speaker 2: And I think I remember matt from that study, it's

277
00:14:26,840 --> 00:14:30,760
Speaker 2: saying like the top ten percent of the biggest tracks

278
00:14:30,800 --> 00:14:33,000
Speaker 2: you see those likely belong to a buck. Is that

279
00:14:33,160 --> 00:14:33,760
Speaker 2: is that correct?

280
00:14:34,640 --> 00:14:37,120
Speaker 5: Yeah? That study that you just showed was from Georgia

281
00:14:37,400 --> 00:14:39,920
Speaker 5: from the mid or early two thousands. They had about

282
00:14:39,920 --> 00:14:43,040
Speaker 5: one hundred and fifty deer that were hunter harvested and

283
00:14:43,080 --> 00:14:45,080
Speaker 5: they measured the tracks off of all of them. About

284
00:14:45,080 --> 00:14:48,640
Speaker 5: one hundred of the deer were bucks, and I think

285
00:14:48,680 --> 00:14:52,240
Speaker 5: it was eight percent where you were able to definitively

286
00:14:52,280 --> 00:14:56,600
Speaker 5: say of the one hundred and fifty something deer were bucks,

287
00:14:56,640 --> 00:14:57,800
Speaker 5: just based on the length.

288
00:14:57,640 --> 00:15:01,240
Speaker 2: Or the width. Okay, so simply put, dew clause don't

289
00:15:01,320 --> 00:15:03,760
Speaker 2: mean much, The amount of space between the pads of

290
00:15:03,840 --> 00:15:07,080
Speaker 2: the hoofs doesn't mean anything. But the very biggest tracks

291
00:15:07,160 --> 00:15:09,880
Speaker 2: in the woods likely belong to bucks. Is there anything

292
00:15:09,880 --> 00:15:12,560
Speaker 2: else hunters can learn by looking at deer tracks?

293
00:15:13,760 --> 00:15:15,600
Speaker 6: Oh heck, yeah, there's a lot you can get out

294
00:15:15,640 --> 00:15:16,120
Speaker 6: of tracks.

295
00:15:16,520 --> 00:15:18,800
Speaker 5: Freshness of the sign right, I think that's probably one

296
00:15:18,840 --> 00:15:22,360
Speaker 5: of the most undervalued types of sign we concentrate on,

297
00:15:22,520 --> 00:15:26,360
Speaker 5: like sign post behavior, scrapes, rubs, those kinds of things,

298
00:15:26,360 --> 00:15:30,800
Speaker 5: at least for white tails, and I think a lot

299
00:15:30,880 --> 00:15:33,920
Speaker 5: of people overlook the freshness of the track and the

300
00:15:33,960 --> 00:15:36,520
Speaker 5: preponderance of lots of tracks in an area just to

301
00:15:36,520 --> 00:15:38,720
Speaker 5: have a lot of deer activity, whether they're feeding there

302
00:15:38,880 --> 00:15:41,640
Speaker 5: or they're spending a lot of time. So freshness, the

303
00:15:41,760 --> 00:15:45,840
Speaker 5: direction the deer are headed, and that travel might give

304
00:15:45,880 --> 00:15:48,920
Speaker 5: you an indication of what their needs are, where they're.

305
00:15:48,720 --> 00:15:50,760
Speaker 6: Going and coming from.

306
00:15:51,000 --> 00:15:55,320
Speaker 5: And then just it could potentially point you in directions

307
00:15:55,320 --> 00:15:57,600
Speaker 5: of other sign that will help you get on deer. Yeah,

308
00:15:57,640 --> 00:16:00,720
Speaker 5: you know, tracks are important, but looking for feeding sign

309
00:16:01,200 --> 00:16:03,960
Speaker 5: or some of those other things I just mentioned, and

310
00:16:04,040 --> 00:16:06,640
Speaker 5: certainly up in at least in the New England and

311
00:16:06,680 --> 00:16:09,000
Speaker 5: Great Lake States, there are a lot of successful people

312
00:16:09,000 --> 00:16:11,080
Speaker 5: that use tracks to you know, hunt down and kill

313
00:16:11,080 --> 00:16:12,960
Speaker 5: a deer just based on following them in the snow.

314
00:16:13,520 --> 00:16:15,800
Speaker 5: And I'm not one of those people that are successful

315
00:16:15,840 --> 00:16:19,040
Speaker 5: at tracking only, but certainly that could that can get

316
00:16:19,040 --> 00:16:21,000
Speaker 5: you on deer too if you're in the right environment.

317
00:16:21,120 --> 00:16:23,600
Speaker 5: So lots of things that we can get out of tracks,

318
00:16:23,640 --> 00:16:27,320
Speaker 5: not necessarily segregating whether or not they're bucks or does.

319
00:16:28,520 --> 00:16:30,720
Speaker 1: And if you come across like a deer with with

320
00:16:30,720 --> 00:16:34,840
Speaker 1: with the big red nose, is that like what's the

321
00:16:34,880 --> 00:16:37,440
Speaker 1: etiquette there is that a shoot don't shoot scenario for

322
00:16:37,520 --> 00:16:40,280
Speaker 1: you and the good folks at NDA. Have you covered

323
00:16:40,280 --> 00:16:41,000
Speaker 1: that one yet?

324
00:16:41,320 --> 00:16:43,440
Speaker 6: I think that I think that one's off limits for all.

325
00:16:44,520 --> 00:16:48,080
Speaker 2: Okay, okay, good, all right, thank you for educating us, man,

326
00:16:48,120 --> 00:16:50,080
Speaker 2: thanks for joining us. You got it.

327
00:16:50,120 --> 00:16:52,920
Speaker 3: Merry Christmas, guys, Thank you.

328
00:16:55,000 --> 00:16:57,600
Speaker 2: All right. Our next segment is Hot tip Off.

329
00:17:01,960 --> 00:17:09,760
Speaker 4: That's salty, ya, that's salty.

330
00:17:13,040 --> 00:17:15,439
Speaker 2: Hot tip Off is where two listeners go head to

331
00:17:15,480 --> 00:17:18,360
Speaker 2: head with competing pieces of advice, and after we hear

332
00:17:18,400 --> 00:17:20,639
Speaker 2: each tip, we'll declare which one is hotter. If you

333
00:17:20,640 --> 00:17:22,240
Speaker 2: have a hot tip, take a one minute video on

334
00:17:22,280 --> 00:17:25,000
Speaker 2: your phone and send it to radio at the Medeater

335
00:17:25,080 --> 00:17:28,199
Speaker 2: dot com with the subject line hot tip Off. This

336
00:17:28,320 --> 00:17:32,639
Speaker 2: week it's Jack Anderson versus Luke Long and they're competing

337
00:17:32,680 --> 00:17:35,560
Speaker 2: for a one hundred dollars Meat Eater gift card. Take

338
00:17:35,560 --> 00:17:39,680
Speaker 2: it away, Phil Fluke clowng.

339
00:17:42,760 --> 00:17:44,879
Speaker 8: Hey, guys, mind's Luke Long. I've got hot tip for

340
00:17:44,960 --> 00:17:47,400
Speaker 8: you today. If you're like me, you'd like to hang

341
00:17:47,480 --> 00:17:49,760
Speaker 8: the European mounts from the bucks you kill on your

342
00:17:49,800 --> 00:17:52,280
Speaker 8: man cave wall or wherever it may be. And I've

343
00:17:52,320 --> 00:17:53,879
Speaker 8: got an easy way to do that for you.

344
00:17:53,880 --> 00:17:54,560
Speaker 6: Go to Walmart.

345
00:17:55,000 --> 00:17:56,600
Speaker 8: You can get these two and a half inch metal

346
00:17:56,600 --> 00:18:00,119
Speaker 8: brackets like four for five bucks. And you take on

347
00:18:00,160 --> 00:18:02,240
Speaker 8: these brackets and you're gonna bend it at one of

348
00:18:02,280 --> 00:18:04,200
Speaker 8: these holes. So I take a pair of ice cripts

349
00:18:04,240 --> 00:18:09,320
Speaker 8: here and give a little bend about like that. You

350
00:18:09,359 --> 00:18:11,120
Speaker 8: can adjust the angle. May need to go a little

351
00:18:11,160 --> 00:18:13,960
Speaker 8: further on this one. And I'm gonna show you now

352
00:18:14,119 --> 00:18:15,119
Speaker 8: on the wall how it works.

353
00:18:15,400 --> 00:18:15,760
Speaker 2: All right.

354
00:18:15,800 --> 00:18:17,359
Speaker 8: So here you can see, I've got one mounted on

355
00:18:17,400 --> 00:18:19,120
Speaker 8: the wall. I paint them black so they don't show

356
00:18:19,200 --> 00:18:22,440
Speaker 8: up as much. But you're gonna push that bracket right

357
00:18:22,480 --> 00:18:25,280
Speaker 8: into that brain cavity and your deer is gonna hang

358
00:18:25,320 --> 00:18:26,400
Speaker 8: there just perfect.

359
00:18:27,280 --> 00:18:30,800
Speaker 1: You can also hang antelope on them as well.

360
00:18:32,119 --> 00:18:35,800
Speaker 8: I'm sure quite a few other animals maybe feel. Deer

361
00:18:36,000 --> 00:18:40,000
Speaker 8: work jack a little and load got that one crooked,

362
00:18:40,480 --> 00:18:42,880
Speaker 8: but there you go. I've got a lot of them,

363
00:18:43,040 --> 00:18:44,840
Speaker 8: and uh, they work really good.

364
00:18:45,000 --> 00:18:46,520
Speaker 1: God he had to borrow a lot of deer to

365
00:18:46,720 --> 00:18:47,480
Speaker 1: make this big jack.

366
00:18:49,119 --> 00:18:49,919
Speaker 2: Good hunter.

367
00:18:52,119 --> 00:18:54,240
Speaker 9: Jack from Minnesota here coming at you with a hot

368
00:18:54,240 --> 00:18:57,560
Speaker 9: tip off for skull cleaning. Ditch the turkey burner. Get

369
00:18:57,600 --> 00:19:01,119
Speaker 9: yourself a thermostack controlled water heater. Keep your temp between

370
00:19:01,200 --> 00:19:04,240
Speaker 9: ninety and one hundred and ten degrees, a process called

371
00:19:04,280 --> 00:19:08,119
Speaker 9: maceration will happen. The bacteria in that temp range is

372
00:19:08,160 --> 00:19:10,600
Speaker 9: gonna just eat the meat off of the skull. You're

373
00:19:10,600 --> 00:19:13,000
Speaker 9: not gonna have to do any high pressure water blasting.

374
00:19:13,359 --> 00:19:16,280
Speaker 9: It's pretty much all just gonna fall off. Change this

375
00:19:16,359 --> 00:19:18,680
Speaker 9: water every two to three days until all the meat

376
00:19:18,720 --> 00:19:21,040
Speaker 9: is off of the skull. To the same process with

377
00:19:21,119 --> 00:19:23,840
Speaker 9: don dish soap and water to decrease it, whiten it

378
00:19:23,880 --> 00:19:28,119
Speaker 9: with peroxide, and you're gonna yield some taxidermy level skull

379
00:19:28,160 --> 00:19:31,240
Speaker 9: cleaning at home. Your nose bones are gonna be there,

380
00:19:31,400 --> 00:19:35,240
Speaker 9: Your nasal cavity is gonna be there, hands off, hands free.

381
00:19:35,400 --> 00:19:36,960
Speaker 9: Your dog's gonna love the smell of it.

382
00:19:37,359 --> 00:19:40,679
Speaker 2: Give it a shot, all right. Phil is going to

383
00:19:40,680 --> 00:19:43,760
Speaker 2: put up a pole for the Chat to vote on.

384
00:19:43,880 --> 00:19:46,840
Speaker 2: The Chat is going to decide who gets that one

385
00:19:46,920 --> 00:19:50,719
Speaker 2: hundred dollars meat eater gift card between Luke Long and

386
00:19:50,840 --> 00:19:54,520
Speaker 2: Jack Anderson, and we're gonna discuss which one we like best. Again.

387
00:19:54,600 --> 00:19:58,680
Speaker 2: Luke Long had the manipulated metal brackets for European mounts.

388
00:19:58,960 --> 00:20:04,440
Speaker 2: Jack Anderson had the thermostat controlled water heater for European mounts. Corey,

389
00:20:04,480 --> 00:20:05,959
Speaker 2: Which one do you like better? Which one would get

390
00:20:06,000 --> 00:20:06,560
Speaker 2: your vote?

391
00:20:06,680 --> 00:20:06,880
Speaker 4: Man?

392
00:20:07,359 --> 00:20:11,879
Speaker 3: Both just fantastic liquid hot magma tips here. But I

393
00:20:11,920 --> 00:20:13,879
Speaker 3: think i'd have to go with Jacks. I'm gonna have

394
00:20:13,880 --> 00:20:15,919
Speaker 3: to try that. I noticed he had his antlers in

395
00:20:15,960 --> 00:20:18,040
Speaker 3: the water too, which is something I'm always worried about

396
00:20:18,080 --> 00:20:20,840
Speaker 3: when you're boiling. Sure to keep those out. I always

397
00:20:20,840 --> 00:20:23,800
Speaker 3: wrap them in, illumin them, foil, and do like everything

398
00:20:23,800 --> 00:20:24,760
Speaker 3: I can to keep the antler.

399
00:20:24,800 --> 00:20:26,920
Speaker 2: And he was just using a five gallon bucket, which

400
00:20:27,000 --> 00:20:28,800
Speaker 2: is you know everyone's got a dozen of those.

401
00:20:28,880 --> 00:20:29,120
Speaker 1: Lander.

402
00:20:29,280 --> 00:20:31,000
Speaker 3: Yeah, I didn't think about that either, So I'm gonna

403
00:20:31,000 --> 00:20:32,439
Speaker 3: have to try that. So I'd probably have to go

404
00:20:32,480 --> 00:20:33,040
Speaker 3: with mister.

405
00:20:32,840 --> 00:20:35,960
Speaker 2: Anderson, cal Luke Loong or Jack Anderson? Which one?

406
00:20:36,080 --> 00:20:39,399
Speaker 1: I agree? They're both great. I'm gonna go with Luke,

407
00:20:40,000 --> 00:20:44,080
Speaker 1: though I don't know. There's just something you do save

408
00:20:44,240 --> 00:20:49,000
Speaker 1: money with both for sure, but you also have to

409
00:20:49,119 --> 00:20:53,680
Speaker 1: invest a little bit more with Jack. True, So I

410
00:20:53,720 --> 00:20:54,080
Speaker 1: don't know.

411
00:20:54,200 --> 00:20:54,480
Speaker 5: I like.

412
00:20:54,560 --> 00:20:58,919
Speaker 1: I like the simplicity. I think of folks who aren't

413
00:20:58,920 --> 00:21:03,920
Speaker 1: mechanically skilled, like even they can shut that's great.

414
00:21:04,240 --> 00:21:06,840
Speaker 2: Phil, Do we have some votes happening?

415
00:21:06,840 --> 00:21:09,520
Speaker 4: We do? You have some votes? They're still coming. We'll

416
00:21:09,520 --> 00:21:11,800
Speaker 4: give them another thirty seconds. Okay, so I started kind of.

417
00:21:11,840 --> 00:21:14,920
Speaker 2: Late, so we have one versus one in the room here.

418
00:21:15,400 --> 00:21:18,760
Speaker 2: I really like both of these lukes. The manipulated metal brackets.

419
00:21:18,760 --> 00:21:21,680
Speaker 2: That's great because that's like the exact shape I want

420
00:21:21,920 --> 00:21:24,560
Speaker 2: for a European amount, Like it put the skull right

421
00:21:24,600 --> 00:21:27,600
Speaker 2: in the perfect position how I think you want to

422
00:21:27,640 --> 00:21:29,960
Speaker 2: display ahead. It is saving you a couple of dollars.

423
00:21:29,960 --> 00:21:31,720
Speaker 2: I think he said a four pack is five bucks.

424
00:21:32,200 --> 00:21:35,040
Speaker 2: But I'm going to vote for Jack Anderson's. That's just

425
00:21:35,200 --> 00:21:39,760
Speaker 2: like it's taking a really sucky chore and making it

426
00:21:39,840 --> 00:21:44,600
Speaker 2: much less sucky by doing the thermostat controlled water heater

427
00:21:45,080 --> 00:21:47,880
Speaker 2: for euros. That's something you can, you know, walk away from.

428
00:21:47,960 --> 00:21:49,399
Speaker 2: It's like a crock pot version.

429
00:21:49,560 --> 00:21:52,720
Speaker 1: I think that's where things go wrong with my friends

430
00:21:52,880 --> 00:21:55,920
Speaker 1: just walking away apart. It's like change the water every

431
00:21:55,960 --> 00:21:58,280
Speaker 1: two to three days, and they're like, oh, yeah, that's

432
00:21:58,320 --> 00:21:59,320
Speaker 1: been back there a long time.

433
00:21:59,400 --> 00:22:02,080
Speaker 4: Our producer just let me know that he bought one

434
00:22:02,119 --> 00:22:05,159
Speaker 4: of those heaters on Jack's recommendation on Amazon, and it

435
00:22:05,200 --> 00:22:06,040
Speaker 4: was thirty dollars.

436
00:22:06,560 --> 00:22:09,119
Speaker 2: Thirty dollars that's what it costs to fill a propane

437
00:22:09,119 --> 00:22:12,919
Speaker 2: tank that you'd go through, you know, doing a European

438
00:22:13,000 --> 00:22:14,560
Speaker 2: mount on a turkey cooker.

439
00:22:14,680 --> 00:22:17,640
Speaker 4: And on that topic, with sixty two percent of the vote,

440
00:22:17,640 --> 00:22:18,880
Speaker 4: the winner is Jack.

441
00:22:19,200 --> 00:22:22,560
Speaker 2: Okay, here, Jack Anderson, he's got a good head of

442
00:22:22,560 --> 00:22:24,399
Speaker 2: hair on him. He's now going to get a one

443
00:22:24,520 --> 00:22:28,240
Speaker 2: hundred dollars Meat Eater gift card as well. Good for you, Jack.

444
00:22:28,600 --> 00:22:31,760
Speaker 2: Send your hot tip offs to radio at the meadeater

445
00:22:31,840 --> 00:22:34,320
Speaker 2: dot com and you might show up on a future

446
00:22:34,359 --> 00:22:39,760
Speaker 2: show of media to Radio. All right, we're about halfway

447
00:22:39,800 --> 00:22:42,119
Speaker 2: through the show. Let's take a break for some listener feedback.

448
00:22:42,200 --> 00:22:43,800
Speaker 2: Phil let's chat have to say.

449
00:22:44,240 --> 00:22:46,879
Speaker 4: Chat's mostly talking with Randall, who is very active in

450
00:22:46,920 --> 00:22:47,320
Speaker 4: the chat.

451
00:22:47,400 --> 00:22:50,479
Speaker 2: Hell yeah, Randall. Where's Randall sitting at right now? Somewhere

452
00:22:50,480 --> 00:22:51,160
Speaker 2: on the live tour?

453
00:22:51,240 --> 00:22:53,800
Speaker 4: Right? He is in Nashville, Tennessee. He sent me a

454
00:22:53,840 --> 00:22:55,760
Speaker 4: picture from the same green room we were hanging out

455
00:22:55,760 --> 00:22:58,400
Speaker 4: in at Buckfest twenty twenty five for the Big buck

456
00:22:58,440 --> 00:23:00,560
Speaker 4: Hunter Championship. They're playing in the same venue that that

457
00:23:00,680 --> 00:23:03,880
Speaker 4: was in. So Randall's a seasoned vet of that building.

458
00:23:04,720 --> 00:23:06,720
Speaker 4: But we've got a few questions. Get some more in.

459
00:23:06,840 --> 00:23:09,719
Speaker 4: We've got Cal here, We've got Corey here, uh, speaking

460
00:23:09,760 --> 00:23:14,000
Speaker 4: of Mogor, says, let Corey know that he Morgan was

461
00:23:14,040 --> 00:23:16,040
Speaker 4: just saying thank you Corey for helping him with his

462
00:23:16,040 --> 00:23:20,360
Speaker 4: his cookbook through customs. Such a kind and helpful guy.

463
00:23:20,440 --> 00:23:23,080
Speaker 4: I agree, Mogor. We love having Corey. Oh glad you

464
00:23:23,160 --> 00:23:23,720
Speaker 4: got your books.

465
00:23:23,760 --> 00:23:26,640
Speaker 2: Moor took him about a year, but that's that's how

466
00:23:26,640 --> 00:23:28,560
Speaker 2: long it takes to get a book across the count

467
00:23:28,880 --> 00:23:29,920
Speaker 2: so really.

468
00:23:29,760 --> 00:23:30,960
Speaker 3: It was actually quite fast.

469
00:23:31,119 --> 00:23:34,119
Speaker 4: That's good. Garrett has a question for cal Cal have

470
00:23:34,200 --> 00:23:36,280
Speaker 4: you why? He says, why do guides not like the

471
00:23:36,320 --> 00:23:37,560
Speaker 4: seven villainter rem bag.

472
00:23:38,720 --> 00:23:41,320
Speaker 1: We've covered this multiple times, so I'm gonna do it

473
00:23:41,320 --> 00:23:41,760
Speaker 1: real quick.

474
00:23:41,800 --> 00:23:42,040
Speaker 4: Sure.

475
00:23:42,160 --> 00:23:46,880
Speaker 1: When the seven Numb Numb made its appearance, it's it's

476
00:23:46,920 --> 00:23:51,840
Speaker 1: the classic thing that we still see today where target

477
00:23:51,880 --> 00:23:57,440
Speaker 1: loads are are the most prolific thing on the market.

478
00:23:58,080 --> 00:24:01,879
Speaker 1: They shoot great, but they don't kill well. And looking

479
00:24:01,920 --> 00:24:07,680
Speaker 1: back on my experience with with the the old backfiring

480
00:24:08,119 --> 00:24:10,919
Speaker 1: fire belching boat anchor, I think is what it was

481
00:24:11,000 --> 00:24:16,040
Speaker 1: referred to as multiple times that was the issue. Not

482
00:24:16,920 --> 00:24:23,440
Speaker 1: the ballistics, not the caliber, but a lack of good

483
00:24:23,480 --> 00:24:26,080
Speaker 1: ammo on the market. Killing ammo.

484
00:24:27,680 --> 00:24:32,080
Speaker 4: There you go, sweet, let's see we've got a question

485
00:24:32,640 --> 00:24:35,800
Speaker 4: from pain Poplars Deer Jerky on a pellet grill versus

486
00:24:35,800 --> 00:24:39,120
Speaker 4: a dehydrator. Is this something you guys have experience with? Yeah,

487
00:24:39,160 --> 00:24:40,720
Speaker 4: both methods, yep.

488
00:24:41,760 --> 00:24:45,640
Speaker 1: If you have a big fancy pants dehydrator, I think

489
00:24:45,680 --> 00:24:48,840
Speaker 1: that's the way to go for that same kind of

490
00:24:49,000 --> 00:24:51,240
Speaker 1: set it and forget it type of deal, and it's

491
00:24:51,720 --> 00:24:55,480
Speaker 1: it would be like less expensive too, doesn't doesn't take

492
00:24:55,840 --> 00:24:57,800
Speaker 1: not a big drain on the old electric bill.

493
00:24:59,040 --> 00:25:01,520
Speaker 2: Something you can do in your your kitchen as well

494
00:25:01,840 --> 00:25:04,920
Speaker 2: versus pellig grill this time of year. I don't care

495
00:25:05,040 --> 00:25:07,600
Speaker 2: for firing that thing up in December outside.

496
00:25:07,840 --> 00:25:11,800
Speaker 1: It's yeah again in your your run the show when

497
00:25:11,800 --> 00:25:13,800
Speaker 1: you're cooking, like you got to account for that thing

498
00:25:13,840 --> 00:25:16,000
Speaker 1: warming up. It is a pain, But I do. I

499
00:25:16,000 --> 00:25:18,960
Speaker 1: do like the products still good this time of year.

500
00:25:18,960 --> 00:25:20,919
Speaker 1: It just takes more time.

501
00:25:21,520 --> 00:25:26,199
Speaker 2: Corey. Any thoughts on jerky versus on the pelligrill versus dehydrator.

502
00:25:26,240 --> 00:25:30,639
Speaker 3: I've only used my oven connection of the Yeah, I

503
00:25:30,640 --> 00:25:33,359
Speaker 3: don't know. It takes that work three four hours. Makes

504
00:25:33,359 --> 00:25:34,200
Speaker 3: pretty fine that you.

505
00:25:34,160 --> 00:25:36,640
Speaker 2: Look forward to firing up in December. Yeah, exactly kind

506
00:25:36,640 --> 00:25:38,320
Speaker 2: of neating. Ye, what else we got?

507
00:25:38,359 --> 00:25:41,160
Speaker 4: Phil Friday Arrows asks best Christmas movie.

508
00:25:41,600 --> 00:25:43,840
Speaker 2: Hmmm, Phil, you answer that one for us?

509
00:25:44,080 --> 00:25:46,680
Speaker 4: Oh, I don't. I love Christmas, but I'm not super

510
00:25:46,720 --> 00:25:49,480
Speaker 4: passionate about about Christmas movies. I love, I love the

511
00:25:49,560 --> 00:25:53,959
Speaker 4: nineteen eighty, nineteen eighty, might be eighty three, the animated

512
00:25:54,359 --> 00:25:56,720
Speaker 4: Mickey's a Christmas Carol. It's short and sweet. Yeah, it's

513
00:25:56,720 --> 00:25:58,639
Speaker 4: only like twenty five minutes long. That was That was

514
00:25:58,640 --> 00:26:01,160
Speaker 4: my that was my Christmas Carol. I it's a wonderful life.

515
00:26:01,240 --> 00:26:03,080
Speaker 4: It's it's a long movie. I saw in Amazon that

516
00:26:03,119 --> 00:26:05,199
Speaker 4: they have an abridged version or they cut like an

517
00:26:05,240 --> 00:26:07,560
Speaker 4: hour out of the movie, which I think it's like sacrilegious.

518
00:26:07,640 --> 00:26:08,280
Speaker 1: That's horrible.

519
00:26:08,280 --> 00:26:11,439
Speaker 4: But it is a long movie. Yeah, you know, and

520
00:26:11,520 --> 00:26:13,720
Speaker 4: like as far as modern stuff goes, I mean Elf,

521
00:26:13,840 --> 00:26:16,120
Speaker 4: Elf has kind of become like a classic. Yes, that

522
00:26:16,160 --> 00:26:18,919
Speaker 4: theme Home alone one and two are also good to

523
00:26:18,920 --> 00:26:19,880
Speaker 4: put on the background.

524
00:26:19,960 --> 00:26:22,639
Speaker 2: Yeah, Cory cal favorite Christmas movie.

525
00:26:22,920 --> 00:26:24,960
Speaker 3: I watched Bad Santa too the other night.

526
00:26:25,560 --> 00:26:26,359
Speaker 4: It's not good.

527
00:26:27,600 --> 00:26:30,160
Speaker 3: It's funny, but that's not the best Christmas movie ever.

528
00:26:30,240 --> 00:26:31,960
Speaker 3: I would have to say a Christmas Carol.

529
00:26:34,640 --> 00:26:39,520
Speaker 1: I think Scrooged with Bill Murray. It's like a fantastic

530
00:26:39,800 --> 00:26:45,880
Speaker 1: Christmas movie. My like, I guess serious Christmas movie would

531
00:26:45,960 --> 00:26:48,359
Speaker 1: definitely be It's a Wonderful Life. Have always been a

532
00:26:48,400 --> 00:26:56,960
Speaker 1: sucker for that one. And then a legit, fun funny

533
00:26:57,520 --> 00:27:03,680
Speaker 1: new Christmas movie is uh, oh, crapes, What's the Night Before?

534
00:27:04,440 --> 00:27:10,879
Speaker 1: I think is what it's called with Ye that is

535
00:27:10,920 --> 00:27:13,800
Speaker 1: a legit, Ye that is that is legit.

536
00:27:14,040 --> 00:27:14,679
Speaker 4: I like that one.

537
00:27:15,640 --> 00:27:18,200
Speaker 2: Elf would be my favorite Christmas movie. I'm far less

538
00:27:18,240 --> 00:27:21,560
Speaker 2: passionate about Christmas movies than Christmas music, though I love

539
00:27:22,160 --> 00:27:25,639
Speaker 2: Christmas music. I've I've got Christmas playlist that you know,

540
00:27:25,920 --> 00:27:30,840
Speaker 2: gets the dust brushed off it in Thanksgiving playing.

541
00:27:31,200 --> 00:27:33,399
Speaker 1: Mariah Carey is on there. I Will Shove You to

542
00:27:33,440 --> 00:27:33,800
Speaker 1: the floor.

543
00:27:33,960 --> 00:27:39,320
Speaker 2: Riah Carrey is on there. My favorite Christmas albums Casey

544
00:27:39,400 --> 00:27:41,919
Speaker 2: musk Graves. She has a phenomenal Christmas album, some very

545
00:27:41,920 --> 00:27:43,120
Speaker 2: good original music on there.

546
00:27:43,320 --> 00:27:44,000
Speaker 4: Do Wrong.

547
00:27:44,680 --> 00:27:49,240
Speaker 2: She has a great Christmas album. I love snowm Forever.

548
00:27:51,320 --> 00:27:54,080
Speaker 2: Michael Bubla, He's you know, he's like the Coca Cola

549
00:27:54,520 --> 00:27:56,480
Speaker 2: Christmas music. You have to have Michael.

550
00:27:56,800 --> 00:27:57,360
Speaker 4: Concert with.

551
00:27:58,840 --> 00:27:59,959
Speaker 2: Is it a Christmas concert?

552
00:28:00,359 --> 00:28:02,280
Speaker 4: I mean it was. It was near the holiday seasons.

553
00:28:02,320 --> 00:28:03,960
Speaker 4: I think he played like one or two, but it

554
00:28:04,000 --> 00:28:08,720
Speaker 4: wasn't it wasn't specifically Christmas. The Vince Guaraldi jazz record

555
00:28:08,760 --> 00:28:12,280
Speaker 4: from a Charlie Brown. Charlie, that's the record I need.

556
00:28:12,400 --> 00:28:16,680
Speaker 2: Yeah, that's like a jazzy good Christmas music. Randy Travis.

557
00:28:16,720 --> 00:28:20,920
Speaker 2: I love his Christmas album, Love Love Christmas Music. Bill

558
00:28:20,960 --> 00:28:21,760
Speaker 2: gives a couple more.

559
00:28:21,680 --> 00:28:24,439
Speaker 4: A couple more. Okay, let's see here a question for

560
00:28:24,520 --> 00:28:28,520
Speaker 4: cal from Kaye Clover Dan's are you excited for the

561
00:28:28,560 --> 00:28:30,840
Speaker 4: new role? Are you going to really locate to Missoula?

562
00:28:31,240 --> 00:28:32,840
Speaker 4: He's stoked to have you at the Helm come to

563
00:28:32,840 --> 00:28:34,200
Speaker 4: Colorado Rendezvous this year.

564
00:28:34,880 --> 00:28:38,479
Speaker 1: Wow, thank you. I am super stoked. I'm real, real

565
00:28:38,560 --> 00:28:44,880
Speaker 1: excited to Yeah, first first legit day as January one,

566
00:28:45,040 --> 00:28:51,000
Speaker 1: so really excited. Been onboarding a bunch and working with

567
00:28:51,200 --> 00:28:59,080
Speaker 1: the team already and like, yeah, crazy crazy good staff.

568
00:29:00,240 --> 00:29:07,040
Speaker 1: The mission orientation is provides for a different work environment

569
00:29:07,280 --> 00:29:12,400
Speaker 1: for sure. It's pretty pretty cool, passionate folks, really really

570
00:29:12,440 --> 00:29:17,440
Speaker 1: neat And yeah, I'm not planning on relocating back to Missoula.

571
00:29:18,480 --> 00:29:22,760
Speaker 1: It's like three of the four Horsemen of the Apocalypse

572
00:29:22,760 --> 00:29:27,920
Speaker 1: in Missoula right now. Anyway, like the atmospheric river, insanely

573
00:29:28,000 --> 00:29:30,720
Speaker 1: high winds. They don't need me in the mix right now.

574
00:29:31,680 --> 00:29:33,960
Speaker 4: So you would be the fourth in that in that scenario,

575
00:29:33,920 --> 00:29:34,960
Speaker 4: I got it exactly.

576
00:29:35,080 --> 00:29:39,160
Speaker 2: I also love the Weezer Christmas album. Their rendition of

577
00:29:39,400 --> 00:29:43,120
Speaker 2: Hark the Herald Angels Sings. It's great stuff. It's it's perfect.

578
00:29:43,120 --> 00:29:45,400
Speaker 4: As a man who loves Weezer, I don't know if

579
00:29:45,440 --> 00:29:46,400
Speaker 4: I can get on board with that.

580
00:29:47,160 --> 00:29:48,760
Speaker 2: All drop someible recommendations throughout the.

581
00:29:48,760 --> 00:29:50,479
Speaker 4: Show, but as far as modern Christmas movies, one more

582
00:29:50,520 --> 00:29:53,360
Speaker 4: for me too. There's an animated movie on Netflix called Klaus,

583
00:29:53,400 --> 00:29:55,920
Speaker 4: which is kind of like a Santa origin story. Jason

584
00:29:55,920 --> 00:29:59,080
Speaker 4: Schwartzman and JK. Simmons. It's very very good. Really, yes,

585
00:29:59,120 --> 00:30:00,720
Speaker 4: it's it's a it's a great movie.

586
00:30:01,240 --> 00:30:03,720
Speaker 2: I also love the Mannheim Steamroller and went and saw

587
00:30:03,760 --> 00:30:06,479
Speaker 2: them last year in Bowsman. They rolled through, but it

588
00:30:06,520 --> 00:30:09,880
Speaker 2: wasn't the Mannheim Steamroller, which I felt a little bitrayed.

589
00:30:09,920 --> 00:30:13,240
Speaker 2: I think, I mean, I think we got like lower

590
00:30:13,240 --> 00:30:13,720
Speaker 2: than that.

591
00:30:13,680 --> 00:30:17,120
Speaker 4: All of those from the eighties that's still to an hour,

592
00:30:17,240 --> 00:30:18,680
Speaker 4: kind of like Ship of Theseus, where it's like, if

593
00:30:18,680 --> 00:30:21,360
Speaker 4: you just keep replacing all the members, is it even

594
00:30:21,400 --> 00:30:22,560
Speaker 4: the same band anymore? You know?

595
00:30:23,520 --> 00:30:28,360
Speaker 2: And then weirdly they shoehorned in the song Convoy you familiar.

596
00:30:28,000 --> 00:30:31,200
Speaker 1: With that they that is so weird.

597
00:30:31,360 --> 00:30:32,880
Speaker 2: It was very weird, very fun.

598
00:30:33,240 --> 00:30:33,440
Speaker 9: Uh.

599
00:30:33,520 --> 00:30:36,040
Speaker 2: The audience was not into it as much as I was.

600
00:30:36,360 --> 00:30:37,120
Speaker 1: That's amazing.

601
00:30:37,160 --> 00:30:40,640
Speaker 2: All right, We're gonna move on. Our next segment is

602
00:30:40,720 --> 00:30:48,640
Speaker 2: meat Pole Say Sule Meat. Welcome to me, lady. I

603
00:30:48,760 --> 00:30:49,680
Speaker 2: got a game.

604
00:30:49,560 --> 00:30:55,440
Speaker 3: Something give me The beat Boy.

605
00:30:55,600 --> 00:30:57,520
Speaker 2: Meat Poll is a test of how much you know

606
00:30:57,560 --> 00:31:00,680
Speaker 2: about your fellow hunters and anglers. I surveyed five hundred

607
00:31:00,800 --> 00:31:04,040
Speaker 2: meat Eater listeners about the outdoors. Your job is to

608
00:31:04,080 --> 00:31:07,560
Speaker 2: predict their answers. There are three questions. Whoever is closest

609
00:31:07,560 --> 00:31:10,480
Speaker 2: to the correct answer between Cal and Corey gets a point,

610
00:31:10,640 --> 00:31:13,160
Speaker 2: and whoever gets two points will be the winner. Also,

611
00:31:13,440 --> 00:31:15,600
Speaker 2: the chat should play along because Phil is going to

612
00:31:15,680 --> 00:31:18,640
Speaker 2: watch your answers and give a shout out to whoever

613
00:31:18,880 --> 00:31:22,400
Speaker 2: is closest an unlike price is right, you guys can't cheat,

614
00:31:22,480 --> 00:31:25,800
Speaker 2: so we know that the winner is You only win

615
00:31:25,840 --> 00:31:29,240
Speaker 2: if you're true of heart. Here's the first question. What

616
00:31:29,440 --> 00:31:33,440
Speaker 2: percentage of meat eater listeners would rather deer hunt in

617
00:31:33,520 --> 00:31:40,360
Speaker 2: the morning instead of the afternoon. What percentage of meat

618
00:31:40,400 --> 00:31:45,120
Speaker 2: eater listeners would pick deer hunting in the morning rather

619
00:31:45,200 --> 00:31:46,080
Speaker 2: than the afternoon.

620
00:31:46,720 --> 00:31:49,640
Speaker 3: Oh, we don't call it first light for nothing, not

621
00:31:49,720 --> 00:31:50,200
Speaker 3: last light.

622
00:31:50,280 --> 00:31:52,160
Speaker 2: What would you pick, Corey? Deer hunting in the morning

623
00:31:52,240 --> 00:31:52,800
Speaker 2: or afternoon?

624
00:31:52,880 --> 00:31:55,040
Speaker 4: What day of the week are we talking.

625
00:31:55,640 --> 00:32:01,000
Speaker 2: We're gonna say Thursday, Today morning, okay, cal morning or morning? Wow?

626
00:32:01,080 --> 00:32:04,960
Speaker 2: Two votes for morning. What percentage of meat Eater listeners

627
00:32:04,960 --> 00:32:09,240
Speaker 2: would rather deer hunt in the morning instead of the afternoon.

628
00:32:09,920 --> 00:32:16,040
Speaker 2: Five hundred listeners answered this question. Yeah, five hundred. I

629
00:32:16,360 --> 00:32:19,959
Speaker 2: like the afternoon just because there's a definitive vent when

630
00:32:20,040 --> 00:32:22,080
Speaker 2: I'm in When I'm out there in the morning, I'm

631
00:32:22,080 --> 00:32:24,200
Speaker 2: always worried, like I'm leaving some meat on the bone.

632
00:32:24,240 --> 00:32:26,720
Speaker 2: Like if I take off at ten am, it's all

633
00:32:26,720 --> 00:32:29,760
Speaker 2: about to happen at ten fifteen am, Whereas in the afternoon,

634
00:32:29,920 --> 00:32:33,120
Speaker 2: it's like it's done, it's over. I deal with that.

635
00:32:33,120 --> 00:32:36,840
Speaker 1: That's somebody who stands in a strap to a tree's perspective,

636
00:32:37,360 --> 00:32:38,320
Speaker 1: like why would you leave?

637
00:32:39,080 --> 00:32:40,640
Speaker 2: Why would you? Well, you gotta leave at some point,

638
00:32:40,680 --> 00:32:41,040
Speaker 2: I don't know.

639
00:32:41,120 --> 00:32:42,720
Speaker 1: Oh, yeah, when it was dark again.

640
00:32:42,800 --> 00:32:45,640
Speaker 2: It's right. Okay, you boys have your answers. Yeah, go

641
00:32:45,680 --> 00:32:49,280
Speaker 2: ahead and reveal your answers. Corey says ninety six percent

642
00:32:49,680 --> 00:32:52,320
Speaker 2: would rather hunt in the morning instead of the afternoon.

643
00:32:52,360 --> 00:32:58,400
Speaker 2: Cal says seventy three percent. The correct answer is sixty

644
00:32:58,560 --> 00:33:02,280
Speaker 2: four point eight percent. That gives Cal the first point.

645
00:33:02,360 --> 00:33:04,920
Speaker 2: He was nine percentage points off.

646
00:33:04,920 --> 00:33:05,840
Speaker 4: I forget you're good at that.

647
00:33:05,920 --> 00:33:07,600
Speaker 1: You're playing against the man of the people.

648
00:33:08,640 --> 00:33:10,800
Speaker 2: He knows price is right, he knows meat pole.

649
00:33:10,880 --> 00:33:11,040
Speaker 7: Well.

650
00:33:11,040 --> 00:33:13,120
Speaker 1: I got spanked at prices right with Steve. That was

651
00:33:13,160 --> 00:33:13,920
Speaker 1: surprising to me.

652
00:33:14,000 --> 00:33:16,640
Speaker 2: But now I did my own survey at home. All

653
00:33:16,680 --> 00:33:19,560
Speaker 2: of the forty one bucks I could recall, nineteen were

654
00:33:19,640 --> 00:33:22,600
Speaker 2: killed in the morning, twenty two in the afternoon. That

655
00:33:22,640 --> 00:33:26,320
Speaker 2: means fifty four percent were afternoon versus forty six percent

656
00:33:26,480 --> 00:33:29,120
Speaker 2: in the morning. And I found this interesting. My five

657
00:33:29,160 --> 00:33:31,680
Speaker 2: biggest white tails were killed in the afternoon, but my

658
00:33:31,800 --> 00:33:35,080
Speaker 2: three biggest muleis were killed in the morning. I don't

659
00:33:35,080 --> 00:33:36,040
Speaker 2: know how to make sense of that.

660
00:33:36,360 --> 00:33:40,600
Speaker 1: I have many animals that I located in the morning

661
00:33:40,600 --> 00:33:42,760
Speaker 1: and killed in the afternoon. Had I not been out

662
00:33:42,800 --> 00:33:45,440
Speaker 1: there in the morning, sure, I would have had no

663
00:33:45,520 --> 00:33:46,320
Speaker 1: idea where they were.

664
00:33:46,520 --> 00:33:49,560
Speaker 4: Just hunt both we had Mark from Southeast Arizona. I

665
00:33:49,560 --> 00:33:51,320
Speaker 4: get sixty five percent.

666
00:33:51,800 --> 00:33:56,440
Speaker 2: Two percentage points off. Well done, Mark from Southeast Arizona.

667
00:33:56,560 --> 00:33:59,520
Speaker 2: All right, Here is our second question. Cal has a

668
00:33:59,600 --> 00:34:03,960
Speaker 2: one point lead. What percentage of meat eater listeners have

669
00:34:04,160 --> 00:34:05,200
Speaker 2: ridden a horse?

670
00:34:05,480 --> 00:34:06,320
Speaker 1: That's a new one.

671
00:34:07,960 --> 00:34:10,560
Speaker 2: What percentage of me deater listeners have ridden a horse?

672
00:34:11,000 --> 00:34:14,719
Speaker 2: I have never rode a horse. I was thinking about.

673
00:34:14,719 --> 00:34:16,840
Speaker 2: I'm reading a book right now called The Horse. That

674
00:34:16,920 --> 00:34:18,680
Speaker 2: was what made me think of this. I don't think

675
00:34:18,680 --> 00:34:19,960
Speaker 2: I've even ever touched a horse.

676
00:34:20,440 --> 00:34:22,240
Speaker 1: I don't think you're really missing out on anything.

677
00:34:22,440 --> 00:34:24,000
Speaker 2: I'm with you. I was like, well, I've made it

678
00:34:24,040 --> 00:34:26,799
Speaker 2: to thirty three years old without touching a horse. I

679
00:34:26,840 --> 00:34:29,880
Speaker 2: can probably do the rest of my life without that.

680
00:34:30,360 --> 00:34:32,240
Speaker 2: Have you ridden a horse? Cory?

681
00:34:32,400 --> 00:34:32,600
Speaker 1: Yeah?

682
00:34:32,640 --> 00:34:35,680
Speaker 3: I grew up with horses, worked with horses. Majority of

683
00:34:35,680 --> 00:34:37,080
Speaker 3: my life was around horses.

684
00:34:37,080 --> 00:34:38,560
Speaker 2: When's the last time you were on a horse.

685
00:34:39,560 --> 00:34:41,840
Speaker 3: It's been a couple of years now though, Okay, yeah,

686
00:34:41,880 --> 00:34:43,120
Speaker 3: five six years.

687
00:34:42,920 --> 00:34:45,480
Speaker 2: Now, Calvin's the last time you jumped on a horse?

688
00:34:47,640 --> 00:34:52,560
Speaker 1: The last fall I did some I can't imagine it's

689
00:34:52,600 --> 00:34:53,200
Speaker 1: all that high.

690
00:34:54,400 --> 00:34:58,200
Speaker 2: What percentage of meat eater listeners have ridden a horse?

691
00:34:58,760 --> 00:35:01,080
Speaker 4: Phil have you if you wrote a horse, I have

692
00:35:01,160 --> 00:35:02,600
Speaker 4: ridden a horse? Okay, yeah, I don't know if you

693
00:35:02,640 --> 00:35:04,360
Speaker 4: know this, but Philip means lover of horses.

694
00:35:04,600 --> 00:35:08,000
Speaker 2: I feel like I told you that you already knew that.

695
00:35:08,040 --> 00:35:10,240
Speaker 4: I didn't know that. But I do not love horses.

696
00:35:10,280 --> 00:35:12,600
Speaker 4: But I have ridden one. Yes, that's horseship.

697
00:35:12,840 --> 00:35:17,000
Speaker 2: What percentage of meat eater listeners have ridden a horse?

698
00:35:18,000 --> 00:35:19,839
Speaker 4: That's seventy just in the room.

699
00:35:20,719 --> 00:35:22,600
Speaker 2: Is it true of you, Phil? Do you love horses?

700
00:35:22,640 --> 00:35:25,280
Speaker 4: I do not. I don't. I just something about them.

701
00:35:25,640 --> 00:35:29,759
Speaker 4: Maybe I'm I'm just intimidated by them or they I

702
00:35:29,760 --> 00:35:30,600
Speaker 4: think it's just the smell.

703
00:35:30,880 --> 00:35:33,680
Speaker 1: If this wasn't a kid's show, i'd tell you exactly.

704
00:35:33,680 --> 00:35:37,640
Speaker 1: I mean, take the romanticism away.

705
00:35:38,360 --> 00:35:40,360
Speaker 2: I don't mind looking at them, especially like I know,

706
00:35:40,480 --> 00:35:44,400
Speaker 2: wild horses are all wrong for ecology purposes, but they're

707
00:35:44,480 --> 00:35:45,719
Speaker 2: quite majestic out there.

708
00:35:46,600 --> 00:35:48,360
Speaker 4: I just think, in the year twenty twenty five, almost

709
00:35:48,360 --> 00:35:50,719
Speaker 4: twenty six, I find no use for a horse living

710
00:35:51,040 --> 00:35:53,919
Speaker 4: living in my suburban neighborhood. Yeah.

711
00:35:53,920 --> 00:35:58,000
Speaker 1: I have had many fun adventures that have included those animals,

712
00:35:58,560 --> 00:36:01,480
Speaker 1: And every one of those adventures also included moments where

713
00:36:01,480 --> 00:36:03,319
Speaker 1: I was like, I hate these things so much.

714
00:36:03,400 --> 00:36:05,800
Speaker 3: They were just a tool for me the last few exactly,

715
00:36:05,840 --> 00:36:07,000
Speaker 3: it's the tool, exactly.

716
00:36:07,160 --> 00:36:08,440
Speaker 2: The boys ready with an answer.

717
00:36:08,440 --> 00:36:10,120
Speaker 3: Sometimes the tools don't make it out of the woods.

718
00:36:10,320 --> 00:36:13,520
Speaker 2: Sometimes the tool tries to kill you and reveal your answers.

719
00:36:13,680 --> 00:36:17,200
Speaker 2: Corey says forty percent of meat eater listeners have ridden

720
00:36:17,200 --> 00:36:22,840
Speaker 2: a horse. Cal says thirty percent. The correct answer is

721
00:36:22,960 --> 00:36:27,520
Speaker 2: eighty one point eight percent. So Cory is the closest

722
00:36:27,560 --> 00:36:30,600
Speaker 2: and he wasn't even halfway to the correct answer eighty

723
00:36:30,680 --> 00:36:33,440
Speaker 2: one point eight percent. Phil, how'd the chat do?

724
00:36:33,920 --> 00:36:37,279
Speaker 4: We had Friday arrows who asked the Christmas movie question

725
00:36:37,360 --> 00:36:39,359
Speaker 4: goes eighty four percent. That was the closest one I could.

726
00:36:39,400 --> 00:36:41,399
Speaker 4: I could see most people were way under.

727
00:36:41,880 --> 00:36:45,680
Speaker 2: According to a twenty eighteen survey, about twenty seven million

728
00:36:45,719 --> 00:36:49,480
Speaker 2: Americans ride a horse each year. That's more horse riders

729
00:36:49,520 --> 00:36:53,680
Speaker 2: than golfers, tennis players, or skiers. Of those twenty seven

730
00:36:53,760 --> 00:36:57,440
Speaker 2: million Americans, about seventy thousand wind up in an emergency

731
00:36:57,520 --> 00:37:02,040
Speaker 2: room because of horse related In all Right, the third

732
00:37:02,040 --> 00:37:04,919
Speaker 2: and final questions, it is tied at one to one

733
00:37:05,080 --> 00:37:09,160
Speaker 2: between Cal and Corey. What percentage of meat eater listeners

734
00:37:09,400 --> 00:37:15,200
Speaker 2: have eaten deer testicles? What percentage of meat eater listeners

735
00:37:15,440 --> 00:37:19,200
Speaker 2: have eaten deer testicles? This will determine our winner. Corey,

736
00:37:19,239 --> 00:37:20,319
Speaker 2: have you yeah?

737
00:37:20,560 --> 00:37:21,200
Speaker 4: Sure?

738
00:37:21,280 --> 00:37:24,480
Speaker 2: Cal, have you yep, I have as well. We're three

739
00:37:24,560 --> 00:37:28,440
Speaker 2: for three at the host table, Phil Lubber of horses.

740
00:37:28,520 --> 00:37:29,800
Speaker 2: Have you eaten deer test three?

741
00:37:30,840 --> 00:37:31,160
Speaker 4: I have? Not?

742
00:37:31,480 --> 00:37:32,200
Speaker 2: Three for four?

743
00:37:32,400 --> 00:37:32,720
Speaker 4: Man?

744
00:37:33,040 --> 00:37:38,319
Speaker 2: What percentage of mediater listeners have eaten deer testicles? Such

745
00:37:38,360 --> 00:37:42,319
Speaker 2: an easy thing to pack out too? They got no weight?

746
00:37:42,480 --> 00:37:43,920
Speaker 3: Yeah, you're already packing yours.

747
00:37:43,680 --> 00:37:50,480
Speaker 2: Out, Phil, Excuse me, Cal, how would you tell someone

748
00:37:50,600 --> 00:37:52,440
Speaker 2: to prepare a deer testicle?

749
00:37:53,440 --> 00:37:55,960
Speaker 1: Oh, beat it and fry it?

750
00:37:56,200 --> 00:37:59,560
Speaker 2: Yeah, yeah, and like a tenderloin in that just like,

751
00:37:59,600 --> 00:38:02,040
Speaker 2: don't let that thing getting the freezer. They're too small.

752
00:38:02,320 --> 00:38:04,279
Speaker 2: Make it up as an appetizer in those first couple

753
00:38:04,280 --> 00:38:04,880
Speaker 2: of days.

754
00:38:05,000 --> 00:38:09,400
Speaker 1: Yep, yeah, yeah, I mean you can pull that membrane

755
00:38:09,400 --> 00:38:11,960
Speaker 1: off the outside, but if you just cut the thing

756
00:38:12,000 --> 00:38:14,680
Speaker 1: in half and give it a couple of wax with

757
00:38:14,760 --> 00:38:17,719
Speaker 1: the hammer, totally, yeah.

758
00:38:17,520 --> 00:38:20,040
Speaker 2: And leave that membrane. Leave that membrane until you're ready

759
00:38:20,040 --> 00:38:22,239
Speaker 2: to cook it though, Like until you know the minute

760
00:38:22,280 --> 00:38:24,960
Speaker 2: you're about to throw that thing in the fryer. Leave

761
00:38:25,000 --> 00:38:27,920
Speaker 2: it on right up until then. You boys ready with

762
00:38:27,960 --> 00:38:28,560
Speaker 2: an answer.

763
00:38:28,440 --> 00:38:28,840
Speaker 4: Let's do this.

764
00:38:29,000 --> 00:38:32,280
Speaker 2: Yeah, go ahead and reveal your answers for the victory.

765
00:38:32,280 --> 00:38:35,040
Speaker 2: Does that say twenty six or two point six twenty six.

766
00:38:35,320 --> 00:38:38,920
Speaker 2: Corey says twenty six percent of our five hundred Meat

767
00:38:38,960 --> 00:38:43,600
Speaker 2: Eater listeners have eaten a deer testicle. Cal says thirty

768
00:38:43,640 --> 00:38:49,160
Speaker 2: three percent. The correct answer is nine point nine percent.

769
00:38:49,280 --> 00:38:53,160
Speaker 2: That Ma's Corey our winner of meat poll today.

770
00:38:53,360 --> 00:38:55,480
Speaker 1: Kat. We've been talking about this stuff for so long.

771
00:38:55,880 --> 00:38:59,640
Speaker 1: I've figured the adaptation rate it would be a little higher.

772
00:39:00,320 --> 00:39:03,000
Speaker 2: Convinced some folks, if not. My little flavor text here

773
00:39:03,040 --> 00:39:06,359
Speaker 2: will do that. Deer testicles are a superfood. A three

774
00:39:06,480 --> 00:39:09,960
Speaker 2: ounce serving has one hundred and ten calories, four grams

775
00:39:10,000 --> 00:39:13,799
Speaker 2: of fat, and eighteen grams of protein. Nutritionally, that makes

776
00:39:13,840 --> 00:39:17,560
Speaker 2: them similar to sardines and pork tenderloin. For tips on

777
00:39:17,600 --> 00:39:20,680
Speaker 2: cooking them, go watch Steve's video called how to Cook

778
00:39:20,760 --> 00:39:23,560
Speaker 2: Venison Testicles on Meat Eater's YouTube channel.

779
00:39:23,640 --> 00:39:26,320
Speaker 4: It Ryan bet twenty one guests ten percent wow.

780
00:39:26,520 --> 00:39:30,000
Speaker 2: Point one percentage points off. Well done, Ryan.

781
00:39:30,160 --> 00:39:37,440
Speaker 1: I would rather have a fried deer testicle with cocktail

782
00:39:37,520 --> 00:39:41,920
Speaker 1: sauce like legit cocktail sauce than pork tenderlin.

783
00:39:42,719 --> 00:39:45,399
Speaker 2: Hmmm, yeah, you know what, I think. I would say

784
00:39:45,440 --> 00:39:47,400
Speaker 2: the same. It's very close, but I would say of

785
00:39:47,440 --> 00:39:49,880
Speaker 2: all the organs. That's my favorite. It's a deer test call.

786
00:39:49,920 --> 00:39:52,560
Speaker 2: I take that above a heart, above a liver, anything

787
00:39:52,560 --> 00:39:53,719
Speaker 2: else in the gut pile.

788
00:39:53,600 --> 00:39:55,839
Speaker 1: I used to make every year. I haven't done it

789
00:39:55,880 --> 00:39:58,239
Speaker 1: in years because now I just get frustrated and throw

790
00:39:58,280 --> 00:40:02,480
Speaker 1: the hearts in the grinder in the grind, which is

791
00:40:02,480 --> 00:40:04,640
Speaker 1: a fine use of them. But I used to make

792
00:40:04,800 --> 00:40:10,239
Speaker 1: these capre s a sandwiches with dear heart or elkhart

793
00:40:10,760 --> 00:40:14,279
Speaker 1: because the bite, the consistency of that muscle is so

794
00:40:14,520 --> 00:40:18,759
Speaker 1: perfect for sandwiches, Like it's there, sure, but you're going

795
00:40:18,840 --> 00:40:23,319
Speaker 1: to be able to to bite through it, and that

796
00:40:23,480 --> 00:40:27,640
Speaker 1: is a like it's pretty it's pretty special when the

797
00:40:27,640 --> 00:40:28,799
Speaker 1: garden's all fresh.

798
00:40:28,920 --> 00:40:30,879
Speaker 2: We asked this question a couple of years from now,

799
00:40:30,880 --> 00:40:35,720
Speaker 2: it's going to be double that point, all right. Joining

800
00:40:35,800 --> 00:40:40,120
Speaker 2: us on the line last is Cornell University professor Trent Presler.

801
00:40:40,440 --> 00:40:44,720
Speaker 2: His new book, Evergreen, is about America's relationship with connifers. Trent,

802
00:40:44,920 --> 00:40:45,720
Speaker 2: welcome to the show.

803
00:40:46,880 --> 00:40:47,920
Speaker 10: Hey, thanks for having me.

804
00:40:47,960 --> 00:40:48,280
Speaker 1: Guys.

805
00:40:49,080 --> 00:40:52,120
Speaker 2: We will get to Christmas trees in just a second. First,

806
00:40:52,160 --> 00:40:54,120
Speaker 2: I want to talk about some of the other things

807
00:40:54,120 --> 00:40:57,360
Speaker 2: your book covers. You say that Evergreen trees have started

808
00:40:57,400 --> 00:40:58,719
Speaker 2: wars tell us about that.

809
00:40:59,680 --> 00:41:03,080
Speaker 10: Oh yeah, the American Revolutionary War actually started with the

810
00:41:03,120 --> 00:41:06,520
Speaker 10: pine tree Riot, which I think most people find shocking

811
00:41:06,560 --> 00:41:08,880
Speaker 10: because we're taught in fifth grade that it started with

812
00:41:08,920 --> 00:41:12,960
Speaker 10: the Boston tea Party, right. But by the fifteenth century,

813
00:41:13,760 --> 00:41:16,440
Speaker 10: the Brits had cut down every single tree and all

814
00:41:16,480 --> 00:41:18,960
Speaker 10: of their islands in the British Aisles. You go to

815
00:41:18,960 --> 00:41:21,839
Speaker 10: Britain today England, you drive around the countryside, you think

816
00:41:21,880 --> 00:41:24,880
Speaker 10: these are nice sheep's meadows, full of grass. But historically

817
00:41:24,880 --> 00:41:29,279
Speaker 10: they were covered in trees, and they used wood to

818
00:41:29,400 --> 00:41:33,120
Speaker 10: build their battleships, and they were desperate for tall, straight

819
00:41:33,239 --> 00:41:37,000
Speaker 10: pine trees to make the masts on their ships for

820
00:41:37,080 --> 00:41:39,560
Speaker 10: the Royal Navy. And they had been blocked by other

821
00:41:39,640 --> 00:41:43,560
Speaker 10: nations from cutting trees, and the Pyrenees, the Alps, and

822
00:41:43,600 --> 00:41:46,560
Speaker 10: the Baltic States. So they sent the pilgrims to America

823
00:41:47,480 --> 00:41:51,839
Speaker 10: to cut down trees. And eventually the crown said, they

824
00:41:51,840 --> 00:41:54,160
Speaker 10: told all the colonists, we own all the big trees.

825
00:41:54,200 --> 00:41:58,160
Speaker 10: Any tree over twenty four inches wide belongs to the

826
00:41:58,200 --> 00:41:59,760
Speaker 10: monarchy for the Royal Navy.

827
00:42:00,200 --> 00:42:02,919
Speaker 4: So the guy up right.

828
00:42:03,160 --> 00:42:06,839
Speaker 10: So the colonists got pretty mad. They started cutting down

829
00:42:07,000 --> 00:42:11,160
Speaker 10: all the pine trees that were twenty three inches wide

830
00:42:11,320 --> 00:42:14,479
Speaker 10: in defiance of the law right, And so you see

831
00:42:14,480 --> 00:42:17,319
Speaker 10: today even in a lot of colonial homes in northeastern

832
00:42:17,440 --> 00:42:22,760
Speaker 10: US wide pine plank flooring that's twenty three inches wide,

833
00:42:22,800 --> 00:42:26,040
Speaker 10: which is from that era of rebellion. But anyway, long

834
00:42:26,080 --> 00:42:29,040
Speaker 10: story short. The King sends his surveyors over to mark

835
00:42:29,120 --> 00:42:31,840
Speaker 10: the trees that they own. And this poor guy was

836
00:42:31,880 --> 00:42:35,400
Speaker 10: having a beer in the Where tavern, the pine Tree

837
00:42:35,480 --> 00:42:40,560
Speaker 10: Tavern in Where New Hampshire, when this angry lumberjack named

838
00:42:40,600 --> 00:42:44,600
Speaker 10: Ebenezer Mudget stormed in with his crew. They'd painted their

839
00:42:44,640 --> 00:42:48,200
Speaker 10: faces black with soot. They held the king surveyors up

840
00:42:48,239 --> 00:42:52,120
Speaker 10: by their feet and whipped them furiously with pine branches

841
00:42:53,440 --> 00:42:55,080
Speaker 10: and sent them out of town on the back of

842
00:42:55,120 --> 00:42:58,640
Speaker 10: a horse. So that was really the start of the

843
00:42:58,640 --> 00:43:02,200
Speaker 10: American Revolutionary War, and it predated the Boston Tea Party

844
00:43:02,239 --> 00:43:03,919
Speaker 10: by exactly one year.

845
00:43:04,200 --> 00:43:06,440
Speaker 2: Amazing. That's a great bit of America.

846
00:43:06,560 --> 00:43:07,080
Speaker 1: Wonderful.

847
00:43:07,760 --> 00:43:11,200
Speaker 2: In chapter nine, you talk about the relationship between whaling

848
00:43:11,400 --> 00:43:13,840
Speaker 2: and evergreen trees. How were those two connected?

849
00:43:14,600 --> 00:43:19,280
Speaker 10: Yeah, absolutely so. As we hunted whales to near extinction

850
00:43:19,600 --> 00:43:22,880
Speaker 10: in eighteen hundreds, we were using them primarily their blubber

851
00:43:23,040 --> 00:43:27,919
Speaker 10: for lighting oil. We burned it for everything. People lit

852
00:43:27,960 --> 00:43:31,360
Speaker 10: their homes with whale oil candles and whale oil lanterns.

853
00:43:31,840 --> 00:43:35,480
Speaker 10: And as the whale populations diminished, shows sharply that the

854
00:43:35,560 --> 00:43:38,839
Speaker 10: price of whale oil skyrocketed. Where it was in like

855
00:43:39,040 --> 00:43:42,720
Speaker 10: eighteen fifty money, it was like thirty eight bucks a gallon,

856
00:43:42,840 --> 00:43:46,480
Speaker 10: which is like outrageous, like several hundred dollars for a

857
00:43:46,520 --> 00:43:49,640
Speaker 10: gallon of whale oil. So there was a desperate search

858
00:43:49,760 --> 00:43:53,719
Speaker 10: on to find a more affordable burning fuel, and we

859
00:43:53,800 --> 00:43:57,160
Speaker 10: settled on something called camphene, which was a blend of

860
00:43:57,200 --> 00:44:00,759
Speaker 10: turpentine and a few other Solventsine is one of the

861
00:44:00,760 --> 00:44:04,799
Speaker 10: world's most flammable substances, and it exists in evergreen conifers.

862
00:44:05,360 --> 00:44:09,400
Speaker 10: So that thus began this huge effort to tap pine

863
00:44:09,440 --> 00:44:12,600
Speaker 10: trees from North Carolina all the way through Texas to

864
00:44:12,880 --> 00:44:15,520
Speaker 10: tap the turpentine and the sap and the resin so

865
00:44:15,560 --> 00:44:19,160
Speaker 10: that we could have a burning fuel. And ironically it

866
00:44:19,320 --> 00:44:23,640
Speaker 10: actually saved the whales from extinction because it released the

867
00:44:23,680 --> 00:44:26,040
Speaker 10: pressure on hunting them so much.

868
00:44:26,400 --> 00:44:30,600
Speaker 2: Wow. Love this evergreen history. Later you write about how

869
00:44:30,640 --> 00:44:33,640
Speaker 2: in the nineteenth century, being a lumberjack was the most

870
00:44:33,719 --> 00:44:37,520
Speaker 2: lethal profession in America. One stat showed that over a

871
00:44:37,560 --> 00:44:40,799
Speaker 2: forty year career, lumberjacks had a fifty to fifty chance

872
00:44:40,880 --> 00:44:43,560
Speaker 2: of dying on the job. What was it about that

873
00:44:43,640 --> 00:44:45,960
Speaker 2: era that made this so dangerous.

874
00:44:46,600 --> 00:44:49,799
Speaker 10: Well, it's hard to fathom how men in that era

875
00:44:49,920 --> 00:44:53,360
Speaker 10: cut down trees that big. You see these archival photos

876
00:44:53,880 --> 00:44:56,520
Speaker 10: of the lumberjacks kind of leaning up against a soquoia

877
00:44:56,560 --> 00:44:58,880
Speaker 10: tree or a redwood tree that might be thirty feet

878
00:44:58,880 --> 00:45:01,520
Speaker 10: wide at the base and if you're you know, it's

879
00:45:01,520 --> 00:45:04,120
Speaker 10: hard to picture it now, but America was covered in

880
00:45:04,200 --> 00:45:07,400
Speaker 10: old growth trees, trees that were between five hundred and

881
00:45:07,440 --> 00:45:10,919
Speaker 10: three thousand years old, and the only tools that they

882
00:45:11,040 --> 00:45:14,560
Speaker 10: had at the time were these rudimentary tools. There was

883
00:45:14,560 --> 00:45:17,920
Speaker 10: a double bladed axe and a what they called a

884
00:45:18,000 --> 00:45:21,920
Speaker 10: misery whip, which was a long saw that was between

885
00:45:22,000 --> 00:45:24,759
Speaker 10: fifteen and twenty feet long that two men would hold

886
00:45:24,840 --> 00:45:26,759
Speaker 10: on either end and like kind of push and pull

887
00:45:26,840 --> 00:45:30,000
Speaker 10: like this. Right, So you think about it, You have

888
00:45:30,040 --> 00:45:33,160
Speaker 10: no mechanical equipment, you have a saw and an axe,

889
00:45:33,520 --> 00:45:35,799
Speaker 10: and you're with a group of guys. You know, you

890
00:45:35,920 --> 00:45:40,280
Speaker 10: all probably have rotten feet and sore and rotten teeth

891
00:45:40,320 --> 00:45:44,879
Speaker 10: and syphilis and you're miserable. It's like eighteen fifty, right,

892
00:45:44,920 --> 00:45:48,120
Speaker 10: and you're like, let's cut down this tree that's three

893
00:45:48,239 --> 00:45:51,800
Speaker 10: hundred feet tall and weighs as much as six humpback whales.

894
00:45:52,360 --> 00:45:55,319
Speaker 10: So the majority of those deaths happened simply by being

895
00:45:55,560 --> 00:46:00,160
Speaker 10: crushed underneath the fallen trees and branches. It was shocking.

896
00:46:00,320 --> 00:46:02,720
Speaker 2: Yeah, you and I both grew up in South Dakota,

897
00:46:02,760 --> 00:46:04,960
Speaker 2: so when you covered the Green Glacier in the book,

898
00:46:05,040 --> 00:46:07,560
Speaker 2: that hit close to home. Explain to folks what the

899
00:46:07,600 --> 00:46:10,480
Speaker 2: green Glacier is and why it's a problem.

900
00:46:11,000 --> 00:46:15,200
Speaker 10: So the Green Glacier is this menacing advance of millions

901
00:46:15,239 --> 00:46:18,759
Speaker 10: and millions of cedar trees that are taking over the

902
00:46:18,800 --> 00:46:22,040
Speaker 10: Great Plains, and it is an ecological crisis of epic

903
00:46:22,080 --> 00:46:25,000
Speaker 10: proportions that I wish more people would pay attention to.

904
00:46:25,440 --> 00:46:27,640
Speaker 10: Let me just back up for a second. The cedars

905
00:46:27,680 --> 00:46:30,319
Speaker 10: I'm talking about are the eastern red cedar, otherwise known

906
00:46:30,360 --> 00:46:34,440
Speaker 10: as Juniperus virginiana. They're native to the US. They're not invasive,

907
00:46:34,800 --> 00:46:37,480
Speaker 10: they're actually native here. They grow in all fifty states.

908
00:46:37,560 --> 00:46:42,120
Speaker 10: They're incredibly resilient and adaptive. So for about ten thousand

909
00:46:42,200 --> 00:46:45,640
Speaker 10: years they were kept in check in places like South Dakota.

910
00:46:45,719 --> 00:46:48,799
Speaker 10: They only grew in river valleys and ravine bottoms, and

911
00:46:48,880 --> 00:46:51,000
Speaker 10: they were kept in check by two things. The first

912
00:46:51,040 --> 00:46:55,719
Speaker 10: were indigenous peoples. Native Americans had controlled burning practices, so

913
00:46:55,719 --> 00:46:58,719
Speaker 10: they would occasionally light fire to the prairie, which would

914
00:46:58,760 --> 00:47:02,920
Speaker 10: suppress the vans of woody tree saplings. The second was

915
00:47:02,960 --> 00:47:07,200
Speaker 10: the presence of billions and billions of bison. So there's

916
00:47:07,239 --> 00:47:10,080
Speaker 10: a lot of research that shows that land where bison

917
00:47:10,160 --> 00:47:13,440
Speaker 10: were present, where they grazed and they trampled, they kept

918
00:47:13,520 --> 00:47:18,360
Speaker 10: the emergence of woody tree saplings at bay, which allowed

919
00:47:18,719 --> 00:47:23,000
Speaker 10: the world's greatest grassland ecosystem to thrive here in the

920
00:47:23,000 --> 00:47:24,400
Speaker 10: central part of the United States.

921
00:47:24,480 --> 00:47:25,200
Speaker 2: It's still the.

922
00:47:25,120 --> 00:47:30,040
Speaker 10: World's largest remaining intact grassland, but it's in grave danger

923
00:47:30,120 --> 00:47:34,360
Speaker 10: right now because without indigenous fire practices and without billions

924
00:47:34,400 --> 00:47:38,720
Speaker 10: of bison roaming the plains, now the cedars are taking over.

925
00:47:39,120 --> 00:47:41,480
Speaker 10: They're creeping up out of the river valleys, and they're

926
00:47:41,480 --> 00:47:45,200
Speaker 10: spreading across millions of square miles of the prairie states.

927
00:47:45,239 --> 00:47:47,799
Speaker 10: And I've talked to cattle ranchers even that are going

928
00:47:47,880 --> 00:47:50,680
Speaker 10: to have to close up shop because they're losing prime

929
00:47:50,760 --> 00:47:52,080
Speaker 10: grazing land to the trees.

930
00:47:52,480 --> 00:47:52,680
Speaker 3: Yeah.

931
00:47:52,680 --> 00:47:56,200
Speaker 2: Where I grew up in eastern South Dakota, the cattle

932
00:47:56,280 --> 00:47:59,560
Speaker 2: ranchers there public enemy number one was the red cedar.

933
00:47:59,680 --> 00:48:02,920
Speaker 2: Was not coyotes, it was not Canadian thistle, it was

934
00:48:02,960 --> 00:48:05,000
Speaker 2: a red ceedar, just because they would take over and

935
00:48:05,080 --> 00:48:08,200
Speaker 2: choke out entire pastures that were otherwise, you know, very

936
00:48:08,200 --> 00:48:09,680
Speaker 2: productive places to graze.

937
00:48:09,880 --> 00:48:14,080
Speaker 1: And you get that neighbor next year who is not

938
00:48:14,480 --> 00:48:17,279
Speaker 1: into agriculture. They just want to be out there for

939
00:48:17,400 --> 00:48:20,520
Speaker 1: their deer season. Sure, and they like the trees because

940
00:48:20,520 --> 00:48:23,640
Speaker 1: it gives the deer something to hide behind. Hey, come on,

941
00:48:24,040 --> 00:48:28,239
Speaker 1: come on, North American Grasslands Conservation Act. That is one

942
00:48:28,360 --> 00:48:31,080
Speaker 1: tool that if we get that sucker off the ground

943
00:48:31,160 --> 00:48:36,360
Speaker 1: run and would provide some additional tools to get knocked

944
00:48:36,440 --> 00:48:40,879
Speaker 1: back the cedar encroachment. I love that you bring this up. Yeah,

945
00:48:41,080 --> 00:48:43,759
Speaker 1: grasslands are very important to us in the Hunt and

946
00:48:43,800 --> 00:48:44,560
Speaker 1: Anglan space.

947
00:48:45,080 --> 00:48:48,040
Speaker 2: All right, let's talk about Christmas trees. To write this book,

948
00:48:48,080 --> 00:48:50,760
Speaker 2: you spent a lot of time on Christmas tree farms.

949
00:48:51,080 --> 00:48:53,240
Speaker 2: That is a type of farm. I've never been around.

950
00:48:53,280 --> 00:48:56,160
Speaker 2: What is the average Christmas tree growing operation? Like?

951
00:48:57,400 --> 00:49:00,239
Speaker 10: Yeah, so they're out of public eye for a seven

952
00:49:00,360 --> 00:49:03,600
Speaker 10: months of the year, right, But they're mostly small family farms.

953
00:49:04,200 --> 00:49:06,879
Speaker 10: The average age of a Christmas tree farmer is sixty five,

954
00:49:07,520 --> 00:49:09,680
Speaker 10: which is a problem for the industry because people are

955
00:49:09,680 --> 00:49:13,040
Speaker 10: aging out and not replacing themselves. The average salary and

956
00:49:13,160 --> 00:49:15,640
Speaker 10: income actually is actually quite low at about twenty five

957
00:49:15,719 --> 00:49:18,960
Speaker 10: thousand dollars, so most of these farmers have off farm

958
00:49:19,080 --> 00:49:23,000
Speaker 10: income or day jobs. But one of the great benefits

959
00:49:23,000 --> 00:49:25,840
Speaker 10: of Christmas tree farms is that they're growing a great,

960
00:49:26,400 --> 00:49:30,400
Speaker 10: highly valuable economic product on marginal land. So this is

961
00:49:30,480 --> 00:49:33,160
Speaker 10: land often that is you know, rocky or on steep

962
00:49:33,160 --> 00:49:36,920
Speaker 10: slopes where you can't grow corn or you can't install irrigation,

963
00:49:37,160 --> 00:49:40,040
Speaker 10: So what can you grow there? You can grow Christmas trees.

964
00:49:40,800 --> 00:49:43,640
Speaker 10: And often those farms also are doing a whole lot

965
00:49:43,640 --> 00:49:47,080
Speaker 10: of work at just preserving open space and keeping the

966
00:49:47,320 --> 00:49:51,120
Speaker 10: you know, suburban sprawl from getting every single square inch

967
00:49:51,200 --> 00:49:52,719
Speaker 10: of our wild habitat.

968
00:49:52,920 --> 00:49:56,600
Speaker 2: Yeah, and in nineteen eighty five, Americans bought thirty three

969
00:49:56,680 --> 00:50:00,080
Speaker 2: million fresh cut Christmas trees. In twenty twenty three that

970
00:50:00,239 --> 00:50:03,880
Speaker 2: number was just twelve million. That's a twenty one million decline.

971
00:50:04,120 --> 00:50:05,040
Speaker 2: What happened, Trent.

972
00:50:06,120 --> 00:50:09,560
Speaker 10: Yeah, the Christmas tree industry has contracted by about eighty

973
00:50:09,600 --> 00:50:12,000
Speaker 10: five percent in the last half century, and that there's

974
00:50:12,040 --> 00:50:18,400
Speaker 10: a couple factors. The first is the pernicious rise of artificial, fake,

975
00:50:18,480 --> 00:50:21,759
Speaker 10: plastic Christmas trees, which has which all are made in

976
00:50:21,880 --> 00:50:25,400
Speaker 10: China one hundred percent in plastics factories subsidized by their.

977
00:50:25,360 --> 00:50:27,080
Speaker 1: I'm getting the feeling you don't like them.

978
00:50:28,040 --> 00:50:32,240
Speaker 10: You think like, I don't know, I read my book,

979
00:50:32,280 --> 00:50:35,480
Speaker 10: I make no bones about how I really feel about

980
00:50:35,560 --> 00:50:39,160
Speaker 10: Christmas trees. But you know, so the the plastic Christmas

981
00:50:39,200 --> 00:50:42,919
Speaker 10: tree business. Now, last year those imports were over two

982
00:50:42,920 --> 00:50:46,480
Speaker 10: billion dollars, with another four billion dollars in just plastic

983
00:50:46,520 --> 00:50:49,759
Speaker 10: Christmas ornaments and lights and everything else. So that's one

984
00:50:50,000 --> 00:50:53,360
Speaker 10: thing that has really affected the natural Christmas tree farm industry.

985
00:50:53,640 --> 00:50:57,160
Speaker 10: And by the way, today the entire national stockpile of

986
00:50:57,239 --> 00:51:00,880
Speaker 10: Christmas tree farms could fit within roughly within the city

987
00:51:00,920 --> 00:51:04,839
Speaker 10: limits of Los Angeles or New York City. There's only yeah,

988
00:51:04,880 --> 00:51:08,120
Speaker 10: there's only three thousand farmers left grow in Christmas trees.

989
00:51:08,840 --> 00:51:11,480
Speaker 10: It's a dying business. But the other thing that happened

990
00:51:11,480 --> 00:51:15,160
Speaker 10: along the way is that trees became much harder to

991
00:51:15,239 --> 00:51:19,399
Speaker 10: grow in a climate that's changing quite rapidly. So we've

992
00:51:19,440 --> 00:51:21,600
Speaker 10: seen like the heat dome that was in Oregon a

993
00:51:21,600 --> 00:51:24,120
Speaker 10: couple summers ago, where it was one hundred degrees for

994
00:51:24,200 --> 00:51:27,360
Speaker 10: a week. It killed tens of millions of young saplings

995
00:51:27,360 --> 00:51:31,440
Speaker 10: in Christmas tree farms. We're also seeing extended periods of drought.

996
00:51:31,719 --> 00:51:34,400
Speaker 10: You're probably familiar since you're deer hunters. You've seen the

997
00:51:34,440 --> 00:51:38,080
Speaker 10: extensive beetle kill damage in the western US, with just

998
00:51:38,360 --> 00:51:41,799
Speaker 10: millions of acres of pine trees standing dead because the

999
00:51:41,800 --> 00:51:45,360
Speaker 10: beetles would normally be killed in a really tough cold winter,

1000
00:51:45,800 --> 00:51:48,800
Speaker 10: but with a mild winter, they're surviving in great numbers

1001
00:51:48,840 --> 00:51:51,759
Speaker 10: and attacking evergreen trees in the spring, and they're just

1002
00:51:51,760 --> 00:51:53,960
Speaker 10: not able to recover. So I've spoken to a lot

1003
00:51:53,960 --> 00:51:56,400
Speaker 10: of Christmas tree farmers around the country where they just

1004
00:51:56,520 --> 00:51:59,799
Speaker 10: lose the seedlings to disease or drought or heat, and

1005
00:51:59,840 --> 00:52:02,920
Speaker 10: they can't afford to replace them. And it's a slow

1006
00:52:02,960 --> 00:52:05,440
Speaker 10: moving disaster. Because if I might add one more point,

1007
00:52:06,080 --> 00:52:08,200
Speaker 10: if you think the heat dome that killed millions of

1008
00:52:08,200 --> 00:52:11,319
Speaker 10: seedlings three years ago, we won't see the impact of

1009
00:52:11,320 --> 00:52:14,720
Speaker 10: that in the marketplace for another seven years. Oh, because

1010
00:52:14,719 --> 00:52:16,719
Speaker 10: the trees grow eight or ten years before they're big

1011
00:52:16,840 --> 00:52:17,719
Speaker 10: enough to cut them down.

1012
00:52:18,920 --> 00:52:22,120
Speaker 2: Now you interviewed the man who hunts down America's most

1013
00:52:22,160 --> 00:52:26,000
Speaker 2: famous tree, the Rockefeller Center Christmas Tree. Tell us about

1014
00:52:26,000 --> 00:52:27,239
Speaker 2: how that tree is selected.

1015
00:52:28,200 --> 00:52:31,040
Speaker 10: Yeah, Eric Pouts. He's got one of the most fascinating

1016
00:52:31,120 --> 00:52:32,920
Speaker 10: jobs in the world. I think he's been in this

1017
00:52:32,960 --> 00:52:35,759
Speaker 10: position for thirty years as the head gardener for a

1018
00:52:35,840 --> 00:52:39,160
Speaker 10: Rockefeller Center. And he drives around the Northeast in his

1019
00:52:39,200 --> 00:52:42,760
Speaker 10: Ford truck and he's kind of just scoping out trees constantly,

1020
00:52:42,800 --> 00:52:45,880
Speaker 10: and he keeps notes and note cards and notepads of

1021
00:52:45,920 --> 00:52:49,640
Speaker 10: where he sees trees. And then sometimes he will literally

1022
00:52:49,760 --> 00:52:52,319
Speaker 10: just walk up to a door of a house and

1023
00:52:52,400 --> 00:52:55,319
Speaker 10: knock on the door and say, hello, I'm the guy

1024
00:52:55,360 --> 00:52:58,560
Speaker 10: from Rockefeller Center. Can we cut down your tree?

1025
00:52:58,920 --> 00:52:59,160
Speaker 1: You know?

1026
00:52:59,239 --> 00:53:01,560
Speaker 10: And some people the door and they think this is

1027
00:53:01,719 --> 00:53:05,200
Speaker 10: an axe murderer, this is weird. And then some people

1028
00:53:05,200 --> 00:53:07,400
Speaker 10: are like, really, are you that guy? And you know,

1029
00:53:07,440 --> 00:53:10,239
Speaker 10: he has an ID and some stuff he shows them

1030
00:53:10,280 --> 00:53:14,360
Speaker 10: to prove that he's legit. But he's got a backlist

1031
00:53:14,600 --> 00:53:18,240
Speaker 10: of many trees in his mind, so he's already pretty

1032
00:53:18,320 --> 00:53:20,880
Speaker 10: much picked the tree for the next like five years,

1033
00:53:21,800 --> 00:53:24,399
Speaker 10: and then he kind of circles back to monitor them,

1034
00:53:24,480 --> 00:53:28,360
Speaker 10: make sure they're healthy. They're getting water and nutrients. But anyway,

1035
00:53:28,400 --> 00:53:30,319
Speaker 10: once they pick the tree, they get the approval of

1036
00:53:30,320 --> 00:53:33,799
Speaker 10: the owner, they'll make a nice plaque to install. They'll

1037
00:53:33,840 --> 00:53:37,440
Speaker 10: come on cutting day, they wrap all the branches very carefully,

1038
00:53:37,440 --> 00:53:39,759
Speaker 10: and then put it on a giant flatbed truck and

1039
00:53:39,840 --> 00:53:41,120
Speaker 10: haul it into New York City.

1040
00:53:41,680 --> 00:53:45,399
Speaker 2: Amazing stuff. Last question, if we're just strictly looking at

1041
00:53:45,400 --> 00:53:47,960
Speaker 2: this from a conservation standpoint, is it better to get

1042
00:53:48,000 --> 00:53:50,879
Speaker 2: a real Christmas tree every year or use a fake one?

1043
00:53:51,760 --> 00:53:54,839
Speaker 10: Always buy a real tree. I will say this from

1044
00:53:54,840 --> 00:53:56,880
Speaker 10: the tible, shout this from the top of every mountain.

1045
00:53:57,719 --> 00:54:01,560
Speaker 10: The world doesn't need more plastic and artificial trees. There's

1046
00:54:01,600 --> 00:54:04,160
Speaker 10: a myth that, oh they last forever, Let me get

1047
00:54:04,200 --> 00:54:06,600
Speaker 10: a fake tree, but a lot of research shows that

1048
00:54:06,680 --> 00:54:11,400
Speaker 10: in fact, artificial Christmas trees are similar to IKEA furniture

1049
00:54:11,520 --> 00:54:14,920
Speaker 10: and that they people usually throw them away after seven years.

1050
00:54:15,440 --> 00:54:17,360
Speaker 10: After seven years, you know, you like you want the

1051
00:54:17,400 --> 00:54:20,279
Speaker 10: next tree that's got different lights, or the revolving base

1052
00:54:20,400 --> 00:54:24,120
Speaker 10: or Bluetooth speaker or now there's even there's even fake

1053
00:54:24,200 --> 00:54:28,320
Speaker 10: Christmas trees that come with an artificial pine scent embedded

1054
00:54:28,360 --> 00:54:32,120
Speaker 10: in them. And you know also every time you buy

1055
00:54:32,280 --> 00:54:35,080
Speaker 10: an artificial tree, and let's say you do use it

1056
00:54:35,120 --> 00:54:37,240
Speaker 10: for seven years before you throw it in the landfill,

1057
00:54:38,320 --> 00:54:40,960
Speaker 10: that during those seven years, that means seven years of

1058
00:54:41,040 --> 00:54:44,840
Speaker 10: real trees that are not being purchased from small family farmers.

1059
00:54:45,719 --> 00:54:47,319
Speaker 10: And then you also have to think of just the

1060
00:54:47,360 --> 00:54:50,239
Speaker 10: farms themselves where the trees are grown. They're providing wildlife

1061
00:54:50,239 --> 00:54:57,279
Speaker 10: habitat for grazers, birds, insects, the mammals that we all

1062
00:54:57,360 --> 00:54:59,719
Speaker 10: like to hunt and fish, you know, like these these

1063
00:54:59,719 --> 00:55:03,279
Speaker 10: are part of our ecosystem and our living environment. And

1064
00:55:03,360 --> 00:55:05,480
Speaker 10: yes we cut it down, but all those farms they

1065
00:55:05,520 --> 00:55:07,399
Speaker 10: plant another one right in the place where they cut

1066
00:55:07,400 --> 00:55:10,759
Speaker 10: the other one down. So it's the most renewable resource.

1067
00:55:10,840 --> 00:55:12,480
Speaker 10: We've got good stuff.

1068
00:55:12,719 --> 00:55:15,520
Speaker 2: Love it. Don't need to twist our arm about having

1069
00:55:15,520 --> 00:55:16,240
Speaker 2: a real tree.

1070
00:55:16,280 --> 00:55:19,160
Speaker 1: How did you find this guest? This is the best guest.

1071
00:55:19,200 --> 00:55:21,920
Speaker 2: Oh what a couple of Trent. We've done a year

1072
00:55:21,920 --> 00:55:24,560
Speaker 2: and a half of episodes and Cal has declared you

1073
00:55:24,640 --> 00:55:27,040
Speaker 2: to be the best guest. Well fell us out the codings.

1074
00:55:27,040 --> 00:55:32,360
Speaker 2: We stick together. Yeah yeah. Trent's new book, Evergreen, is

1075
00:55:32,400 --> 00:55:35,279
Speaker 2: available right now wherever books are sold. It's a fun read,

1076
00:55:35,320 --> 00:55:37,560
Speaker 2: for folks who spend a lot of time outside Trent.

1077
00:55:37,600 --> 00:55:38,560
Speaker 2: Thanks for joining us.

1078
00:55:38,560 --> 00:55:40,880
Speaker 10: Thank you so much pleasure, Thanks for having me.

1079
00:55:40,920 --> 00:55:46,839
Speaker 2: Guys, do you have a Christmas tree up at home

1080
00:55:46,920 --> 00:55:47,319
Speaker 2: right now?

1081
00:55:47,480 --> 00:55:47,600
Speaker 11: No?

1082
00:55:47,640 --> 00:55:50,520
Speaker 2: I don't know. No, No, how about last year? Did

1083
00:55:50,560 --> 00:55:51,279
Speaker 2: you have one last year?

1084
00:55:51,360 --> 00:55:51,680
Speaker 11: Yeah?

1085
00:55:51,719 --> 00:55:55,640
Speaker 2: The year before that? No, okay, every other year rotation

1086
00:55:55,719 --> 00:55:56,080
Speaker 2: you're on.

1087
00:55:56,320 --> 00:56:00,319
Speaker 1: It's just like the travel schedule and trying to keep

1088
00:56:01,280 --> 00:56:03,680
Speaker 1: take care of something. And if I'm being honest, the

1089
00:56:03,800 --> 00:56:05,839
Speaker 1: dead tree is still hanging around.

1090
00:56:09,239 --> 00:56:09,840
Speaker 2: In your back. You know.

1091
00:56:09,920 --> 00:56:11,440
Speaker 1: We tucked over on the side of the house.

1092
00:56:12,560 --> 00:56:15,400
Speaker 2: It's good habitat for some birds and voles and mice.

1093
00:56:15,560 --> 00:56:17,040
Speaker 2: It is, yeah, good, good.

1094
00:56:17,200 --> 00:56:21,680
Speaker 1: Doesn't bother me. But boy, I just do not think

1095
00:56:21,800 --> 00:56:23,280
Speaker 1: much of people with fake trees.

1096
00:56:23,400 --> 00:56:26,800
Speaker 2: Now sure, yeah, the planet.

1097
00:56:27,120 --> 00:56:29,880
Speaker 1: Right up there with those scented trash bags for me.

1098
00:56:30,880 --> 00:56:34,440
Speaker 2: Yeah, out of the mountains to get our tree, Cory,

1099
00:56:34,480 --> 00:56:37,160
Speaker 2: you you sometimes do that. This year you bought one

1100
00:56:37,200 --> 00:56:38,640
Speaker 2: out of parking lot though, right.

1101
00:56:38,719 --> 00:56:40,240
Speaker 3: Nope, No, we got a fake tree.

1102
00:56:40,400 --> 00:56:42,680
Speaker 2: Oh, fake tree. What a loser.

1103
00:56:42,760 --> 00:56:47,440
Speaker 1: But they walk among us, sitting right next to you.

1104
00:56:47,520 --> 00:56:48,760
Speaker 2: What's the tree situation?

1105
00:56:48,840 --> 00:56:51,000
Speaker 4: We've got a real tree. We we just go to

1106
00:56:51,200 --> 00:56:53,400
Speaker 4: a nursery. So we're not we're not out there getting

1107
00:56:53,440 --> 00:56:55,839
Speaker 4: getting our boots dirty. But but it's it's real.

1108
00:56:56,040 --> 00:56:57,799
Speaker 3: Yeah, there's things that I just don't argue with my

1109
00:56:57,840 --> 00:56:58,360
Speaker 3: wife about.

1110
00:56:58,480 --> 00:57:01,480
Speaker 2: There you go, now you tell her to watch this.

1111
00:57:01,600 --> 00:57:03,040
Speaker 2: I'm going to age your mind. Definitely.

1112
00:57:03,080 --> 00:57:04,359
Speaker 3: We're going to read that book.

1113
00:57:04,480 --> 00:57:06,680
Speaker 1: I'd go like this route, I'd be like, you know,

1114
00:57:06,760 --> 00:57:12,399
Speaker 1: what's interesting that you're so invested in raising this child? Right, Yeah,

1115
00:57:12,040 --> 00:57:15,839
Speaker 1: that's that's pretty neat that you think this is worth worthwhile.

1116
00:57:16,680 --> 00:57:19,040
Speaker 1: But some things aren't.

1117
00:57:19,160 --> 00:57:21,600
Speaker 2: There's not going to be any planet around for Marshall

1118
00:57:21,800 --> 00:57:23,439
Speaker 2: when he gets your guys, it's.

1119
00:57:24,640 --> 00:57:27,600
Speaker 3: Trust me there like late November deer hunting. She's looking

1120
00:57:27,640 --> 00:57:30,760
Speaker 3: at Christmas trees. I wish I could, Yeah, but again

1121
00:57:31,960 --> 00:57:33,000
Speaker 3: worth it maybe, So.

1122
00:57:33,360 --> 00:57:36,240
Speaker 2: That's why Corey has that black eye all right. Our

1123
00:57:36,320 --> 00:57:41,720
Speaker 2: last segment is Tattoos. I regret.

1124
00:57:43,160 --> 00:57:45,360
Speaker 9: Hello talk miss my old friend.

1125
00:57:47,600 --> 00:57:56,440
Speaker 11: I've looked at my tattoo again. Such a good when

1126
00:57:56,560 --> 00:58:01,600
Speaker 11: I was drunk last summer, and a pizza says, A

1127
00:58:01,640 --> 00:58:11,920
Speaker 11: fuss will always fine, harps, it's a tattoo.

1128
00:58:17,320 --> 00:58:20,360
Speaker 2: We do this segment only to hear that beautiful song.

1129
00:58:20,480 --> 00:58:24,760
Speaker 2: It's wonder Phil wonderful stuff. We have two tattoos today.

1130
00:58:24,840 --> 00:58:27,920
Speaker 2: Calan Corey are going to describe what they look like

1131
00:58:28,040 --> 00:58:30,280
Speaker 2: for the listening audience. But if you want to see

1132
00:58:30,280 --> 00:58:32,600
Speaker 2: them for yourself, and you do, then head over to

1133
00:58:32,640 --> 00:58:36,360
Speaker 2: the Meat Eater podcast YouTube channel to watch this episode.

1134
00:58:36,440 --> 00:58:39,000
Speaker 2: All right, Phil, show us that very first tattoo.

1135
00:58:40,240 --> 00:58:41,600
Speaker 4: Is this the sorry.

1136
00:58:42,880 --> 00:58:45,680
Speaker 2: You got it right there? What does that look like? Cal,

1137
00:58:46,040 --> 00:58:48,200
Speaker 2: describe for our listening audience what you're.

1138
00:58:48,080 --> 00:58:53,200
Speaker 1: Seeing, say, real tight racked white tail.

1139
00:58:55,720 --> 00:58:58,920
Speaker 3: I think it's sitting on top of a knee.

1140
00:58:59,120 --> 00:59:03,480
Speaker 2: I think that's shoulder. That's like, yeah, his shoulder, upper arm.

1141
00:59:03,520 --> 00:59:06,320
Speaker 1: And then the eye is real dark.

1142
00:59:06,480 --> 00:59:06,800
Speaker 2: Uh huh.

1143
00:59:06,880 --> 00:59:07,680
Speaker 1: It is interesting.

1144
00:59:07,840 --> 00:59:11,800
Speaker 2: This tattoo was sent to us by Jack Shotgun. He says,

1145
00:59:11,840 --> 00:59:15,040
Speaker 2: hello to my favorite podcast. I present to you the

1146
00:59:15,080 --> 00:59:18,360
Speaker 2: tattoo I most regret. I was nineteen years old. It

1147
00:59:18,440 --> 00:59:20,960
Speaker 2: was the fourth of July and my buddy had recently

1148
00:59:21,000 --> 00:59:24,440
Speaker 2: purchased a tattoo gun. He asked me what I wanted, and,

1149
00:59:24,480 --> 00:59:27,200
Speaker 2: being a lover of all things outdoors, I said I'd

1150
00:59:27,280 --> 00:59:29,360
Speaker 2: like a big old buck on my arm. I paid

1151
00:59:29,400 --> 00:59:31,800
Speaker 2: fifty dollars for it, and he tattooed a nice big

1152
00:59:31,840 --> 00:59:35,120
Speaker 2: white tail. Now here's the problem. I live in Utah

1153
00:59:35,160 --> 00:59:37,080
Speaker 2: and have never seen a white tail buck with my

1154
00:59:37,160 --> 00:59:41,320
Speaker 2: own eyes. So Jack wasn't specific enough, and instead of

1155
00:59:41,360 --> 00:59:44,720
Speaker 2: getting a big old mule deer buck, he's got a

1156
00:59:44,760 --> 00:59:47,560
Speaker 2: white tail that came straight from Michigan and he's never

1157
00:59:47,600 --> 00:59:48,360
Speaker 2: even laid eyes.

1158
00:59:48,560 --> 00:59:51,680
Speaker 1: Would did the friend continue on in his tattoo career.

1159
00:59:52,280 --> 00:59:53,640
Speaker 1: I'd be an interesting aside.

1160
00:59:53,720 --> 00:59:56,520
Speaker 3: I think it's pretty well done. I love the muscular Yeah,

1161
00:59:56,720 --> 00:59:57,680
Speaker 3: it's all run it up.

1162
00:59:58,000 --> 01:00:01,360
Speaker 1: Yeah, this is not Yeah, yeah it is funny. It's

1163
01:00:01,400 --> 01:00:02,840
Speaker 1: worth it's worth having it.

1164
01:00:02,520 --> 01:00:05,720
Speaker 2: It's not a bad tattoo, but it's not a great

1165
01:00:05,800 --> 01:00:08,360
Speaker 2: tattoo if you've never seen one. It does take up

1166
01:00:08,400 --> 01:00:11,960
Speaker 2: some space, a lot of precious real estate on Jack

1167
01:00:12,040 --> 01:00:13,400
Speaker 2: Shotgun's upper arms.

1168
01:00:13,440 --> 01:00:16,240
Speaker 1: Oddly enough for me, the fact that it's fifty dollars,

1169
01:00:16,440 --> 01:00:18,040
Speaker 1: I'm like, oh, yeah, good job.

1170
01:00:18,480 --> 01:00:21,520
Speaker 4: Yeah says honestly, not bad for fifty bucks.

1171
01:00:22,560 --> 01:00:26,000
Speaker 2: Okay, here is our next tattoo. This is from Eric

1172
01:00:26,160 --> 01:00:28,560
Speaker 2: James Corey. What are you seeing there? From Eric?

1173
01:00:28,640 --> 01:00:30,360
Speaker 3: Well, there's a lot going on here. It looks like

1174
01:00:30,400 --> 01:00:35,760
Speaker 3: a mountainous scene with a fly rod and maybe some

1175
01:00:35,800 --> 01:00:39,560
Speaker 3: sort of wolf dry fly going on there. There's a

1176
01:00:39,600 --> 01:00:45,960
Speaker 3: latitude longitude coordinates looking at his forearm there on the inside.

1177
01:00:46,600 --> 01:00:49,920
Speaker 3: It's very well done. It looks fresh, obviously in this

1178
01:00:50,000 --> 01:00:53,040
Speaker 3: photo a lot of detailed skin still red.

1179
01:00:53,760 --> 01:00:56,640
Speaker 2: Here's what detail Eric had to say about that tattoo.

1180
01:00:56,680 --> 01:00:59,600
Speaker 2: He said, this tattoo is actually one of my favorites.

1181
01:00:59,800 --> 01:01:02,560
Speaker 2: That being said, it still managed to cause me a

1182
01:01:02,600 --> 01:01:06,520
Speaker 2: great deal of embarrassment. The coordinates in the tattoo are

1183
01:01:06,560 --> 01:01:09,080
Speaker 2: of a small creek my family and I have fished

1184
01:01:09,120 --> 01:01:11,880
Speaker 2: as long as I can remember. We usually go together

1185
01:01:11,960 --> 01:01:14,760
Speaker 2: once a year. About six years ago, though, I went

1186
01:01:14,800 --> 01:01:17,760
Speaker 2: with my uncle and cousins and we hiked separately. I

1187
01:01:17,800 --> 01:01:20,240
Speaker 2: got to a point in the trail where it forks,

1188
01:01:20,440 --> 01:01:22,400
Speaker 2: and I took a wrong turn and wound up a

1189
01:01:22,480 --> 01:01:25,040
Speaker 2: mile from the creek. Not a big deal, but as

1190
01:01:25,040 --> 01:01:27,760
Speaker 2: you can imagine, my family gave me all sorts of shit.

1191
01:01:28,080 --> 01:01:31,200
Speaker 2: How could you not know? It's literally on your arm,

1192
01:01:31,360 --> 01:01:33,560
Speaker 2: they said. They mocked me the rest of the day,

1193
01:01:33,600 --> 01:01:36,800
Speaker 2: and that story often comes up at family gatherings or

1194
01:01:36,880 --> 01:01:41,520
Speaker 2: anytime the creek is mentioned. I'm sure this week at Christmas,

1195
01:01:41,680 --> 01:01:45,120
Speaker 2: Eric is going to hear about that. Now. Okay, someone

1196
01:01:45,160 --> 01:01:49,320
Speaker 2: Phil has just put a comment up there from dnh sage.

1197
01:01:49,360 --> 01:01:53,440
Speaker 2: He says, Now that's how you spot burn. Totally agree.

1198
01:01:53,480 --> 01:01:56,160
Speaker 2: Can you imagine putting like your favorite spot in the

1199
01:01:56,200 --> 01:01:59,720
Speaker 2: mountains the exact coordinates on your arm for all to see.

1200
01:02:00,320 --> 01:02:04,280
Speaker 3: Nope, No, you're just sitting at a restaurant in somebody's eyeballs.

1201
01:02:05,360 --> 01:02:09,200
Speaker 2: Yeah. Watching the show, Eric James has told all up

1202
01:02:09,240 --> 01:02:12,120
Speaker 2: right now his favorite creak is to fish at with

1203
01:02:12,160 --> 01:02:14,480
Speaker 2: his family. It's not going to be so good anymore. Eric.

1204
01:02:14,760 --> 01:02:16,200
Speaker 3: It's a great tattoo though.

1205
01:02:16,160 --> 01:02:20,560
Speaker 2: Good tattoo, but now he has to get mocked at

1206
01:02:20,640 --> 01:02:23,520
Speaker 2: Christmas time because of the time he got lost going

1207
01:02:23,560 --> 01:02:27,040
Speaker 2: to that exact spot. Huh. All right, that brings us

1208
01:02:27,040 --> 01:02:28,760
Speaker 2: to the end of this week's show. Phil, Let's get

1209
01:02:28,760 --> 01:02:30,080
Speaker 2: some final feedback from the chat.

1210
01:02:30,120 --> 01:02:31,640
Speaker 4: Oh sure, I was gonna look up where this guy's

1211
01:02:31,640 --> 01:02:32,080
Speaker 4: spot was.

1212
01:02:32,560 --> 01:02:34,640
Speaker 1: I guess.

1213
01:02:35,360 --> 01:02:38,120
Speaker 4: Let's see here here we are. First of all, Santa

1214
01:02:38,320 --> 01:02:41,720
Speaker 4: came into the chat. He says, quote, you think getting

1215
01:02:41,760 --> 01:02:44,439
Speaker 4: a tattoo is good. No, getting a tattoo is not good.

1216
01:02:44,520 --> 01:02:46,560
Speaker 4: I don't care about it, but it's not good behavior.

1217
01:02:47,720 --> 01:02:49,320
Speaker 4: Thanks Santa, appreciate it.

1218
01:02:50,280 --> 01:02:51,960
Speaker 2: We've got a question, Williams.

1219
01:02:52,760 --> 01:02:56,040
Speaker 4: Do deer balls taste like cowballs or are they completely different.

1220
01:02:56,280 --> 01:03:00,000
Speaker 2: Tastes the same. It's just like working with something that the cowboys,

1221
01:03:00,760 --> 01:03:04,400
Speaker 2: which are from a bowl, those are five exercise from

1222
01:03:04,440 --> 01:03:06,800
Speaker 2: a deer. So it's like working with a roast off

1223
01:03:06,840 --> 01:03:10,520
Speaker 2: of a big bull elk versus an antelope.

1224
01:03:10,720 --> 01:03:14,080
Speaker 1: I think there can be some flavor change, whether you're

1225
01:03:14,120 --> 01:03:17,920
Speaker 1: working in the rut or not. Sure, that's more elk

1226
01:03:18,800 --> 01:03:20,640
Speaker 1: experience with Yeah, elk.

1227
01:03:20,520 --> 01:03:25,920
Speaker 2: Testicles five exercise though on a bowl.

1228
01:03:27,400 --> 01:03:30,800
Speaker 4: From Jack Lions. He says, oops, see hi, all advice

1229
01:03:30,800 --> 01:03:33,640
Speaker 4: for cooking prong horn prong horn antelope for someone who

1230
01:03:33,720 --> 01:03:36,400
Speaker 4: is an adult onset hunter. Got my first antelope with

1231
01:03:36,400 --> 01:03:37,080
Speaker 4: a both.

1232
01:03:38,680 --> 01:03:41,280
Speaker 2: I think in the nation archery antelope has one of

1233
01:03:41,280 --> 01:03:44,640
Speaker 2: the lowest success rates for hunters. So well done, Jack

1234
01:03:44,720 --> 01:03:47,120
Speaker 2: Lions cal tell him how to cook that thing.

1235
01:03:47,560 --> 01:03:52,720
Speaker 1: Just meet hum rare, buddy. Don't don't overcook it. Yeah,

1236
01:03:53,080 --> 01:03:56,160
Speaker 1: just just nice and simple. Don't overcook it. It'll be great.

1237
01:03:56,320 --> 01:03:58,479
Speaker 2: Yeah. And I think the taste of that antelope, Jack

1238
01:03:59,080 --> 01:04:02,360
Speaker 2: was determined back in August or September, whenever you killed

1239
01:04:02,360 --> 01:04:05,200
Speaker 2: this thing. I think antelope gets a bad rap because

1240
01:04:05,240 --> 01:04:07,120
Speaker 2: people kill them when it's hot outside. They don't take

1241
01:04:07,120 --> 01:04:09,439
Speaker 2: care of the meat right away. They're butchering the thing

1242
01:04:09,480 --> 01:04:12,080
Speaker 2: in a place where they set the hind quarter on

1243
01:04:12,160 --> 01:04:15,040
Speaker 2: a sage bush. And those sage bushes are super oil,

1244
01:04:15,120 --> 01:04:16,840
Speaker 2: And so when folks are like, oh, this meat just

1245
01:04:16,880 --> 01:04:19,640
Speaker 2: tastes like sage, that's not what the antelope tasted like.

1246
01:04:19,800 --> 01:04:22,080
Speaker 2: That's what the anelope tasted like after you laid the

1247
01:04:22,160 --> 01:04:25,200
Speaker 2: hind quarter on a whole sage bush and got it

1248
01:04:25,200 --> 01:04:27,760
Speaker 2: covered in oil. So I think, Jack, if it tastes good,

1249
01:04:28,320 --> 01:04:31,160
Speaker 2: pat yourself on the back back in August for how

1250
01:04:31,200 --> 01:04:32,840
Speaker 2: you took care of the meat. Corey, what would you

1251
01:04:32,880 --> 01:04:34,320
Speaker 2: say about cooking that antelope?

1252
01:04:35,080 --> 01:04:38,200
Speaker 3: Yeah, I agree, hopefully steaked most of it. At least

1253
01:04:38,200 --> 01:04:40,560
Speaker 3: every antelope that I get, I try and I try

1254
01:04:40,600 --> 01:04:42,720
Speaker 3: not to grind any of it, just because every steak

1255
01:04:42,800 --> 01:04:45,760
Speaker 3: from neck to tail is just so darn delicious.

1256
01:04:45,920 --> 01:04:51,320
Speaker 1: Yeah, and typically tender. I'll tell you straight up, we

1257
01:04:51,400 --> 01:04:56,840
Speaker 1: had a very tense evening meal about ten days ago

1258
01:04:57,120 --> 01:05:02,440
Speaker 1: in my household us. I said, now, don't overcook that,

1259
01:05:03,640 --> 01:05:10,280
Speaker 1: and snort overcooked it and overcooked it? And how overcooked?

1260
01:05:11,400 --> 01:05:18,120
Speaker 1: Just a solid medium well okay, yeah, like near burn. Yeah,

1261
01:05:18,160 --> 01:05:21,200
Speaker 1: I mean it's like cube it up and turn it

1262
01:05:21,200 --> 01:05:26,080
Speaker 1: into green chili. At that point differences from Ryan mo

1263
01:05:26,280 --> 01:05:27,600
Speaker 1: a Han a question for everyone.

1264
01:05:27,640 --> 01:05:29,320
Speaker 4: I'm still looking for a gift for my dad that

1265
01:05:29,400 --> 01:05:31,760
Speaker 4: might help him hunt a little easier. He's getting older

1266
01:05:32,160 --> 01:05:34,800
Speaker 4: and isn't as mobile as he used to be. Gift

1267
01:05:34,840 --> 01:05:36,080
Speaker 4: ideas for older folks.

1268
01:05:37,360 --> 01:05:40,120
Speaker 1: Have you got him the fed up old trucks calendar?

1269
01:05:40,160 --> 01:05:40,440
Speaker 4: Yeah?

1270
01:05:40,720 --> 01:05:42,360
Speaker 2: Yeah, I'd make him a better hunter.

1271
01:05:42,600 --> 01:05:49,520
Speaker 1: Well, it's something to think about a little easier on X.

1272
01:05:50,240 --> 01:05:52,440
Speaker 2: I find that most of the older hunters in my

1273
01:05:52,480 --> 01:05:54,480
Speaker 2: life don't have on X and you show it to

1274
01:05:54,520 --> 01:05:57,080
Speaker 2: them and they're blown away, like well, I've always wondered

1275
01:05:57,400 --> 01:06:01,160
Speaker 2: who owned that property over under? I don't know. Makes

1276
01:06:01,160 --> 01:06:03,280
Speaker 2: it getting in out of the field a lot easier

1277
01:06:03,800 --> 01:06:06,200
Speaker 2: if he hunt any cold place. Just some hand warmers,

1278
01:06:06,240 --> 01:06:09,080
Speaker 2: till warmers, so folks, they get cold faster than a

1279
01:06:09,080 --> 01:06:10,040
Speaker 2: young buck like Corey.

1280
01:06:10,440 --> 01:06:10,680
Speaker 4: Yeah.

1281
01:06:10,720 --> 01:06:17,400
Speaker 3: Well, and one thought of those image stabilizing buyos. Everybody

1282
01:06:17,440 --> 01:06:20,200
Speaker 3: gets a little shaky as they age, but be a

1283
01:06:20,240 --> 01:06:24,640
Speaker 3: little less expensive, A solid shooting tripod, something that can

1284
01:06:24,680 --> 01:06:26,080
Speaker 3: help keep that gun steady.

1285
01:06:26,200 --> 01:06:27,360
Speaker 2: Yep, he's a rifle hunting.

1286
01:06:28,120 --> 01:06:30,040
Speaker 1: I like all these. That's good thinking.

1287
01:06:30,160 --> 01:06:31,040
Speaker 2: They'll do a few more.

1288
01:06:31,120 --> 01:06:33,360
Speaker 4: Sure, we got one from Phil. He says, Hey Phil, Phil, here,

1289
01:06:33,400 --> 01:06:35,240
Speaker 4: I'd like to know if the crew has a preferred

1290
01:06:35,320 --> 01:06:38,960
Speaker 4: Christmas cocktail or adult beverage. Can you ask them about

1291
01:06:39,000 --> 01:06:40,640
Speaker 4: the next question break we'll do Phil.

1292
01:06:41,320 --> 01:06:44,600
Speaker 2: Corey said yes before the question was finished. What is it, Corey?

1293
01:06:44,680 --> 01:06:52,160
Speaker 3: Anything and everything? Uh huh yeah, beer, whiskey, yeah, vodka, quila.

1294
01:06:52,320 --> 01:06:53,520
Speaker 4: That really is anything and everything.

1295
01:06:54,440 --> 01:06:57,360
Speaker 2: I saw an old ad for doctor Pepper back in

1296
01:06:57,480 --> 01:07:00,520
Speaker 2: like the sixties or seventies where they recommended eating up

1297
01:07:00,600 --> 01:07:03,760
Speaker 2: some doctor Pepper on the stove and you serve that

1298
01:07:03,760 --> 01:07:06,800
Speaker 2: at Christmas time is like a Christmas drink. I like

1299
01:07:06,880 --> 01:07:09,240
Speaker 2: that idea. So the last couple of years, I've been

1300
01:07:09,280 --> 01:07:11,000
Speaker 2: heating some up on the stove and then I pour

1301
01:07:11,080 --> 01:07:14,120
Speaker 2: some rum in there, and I feel like I'm having

1302
01:07:14,200 --> 01:07:15,880
Speaker 2: a cocktail from fifty years ago.

1303
01:07:16,400 --> 01:07:22,080
Speaker 1: Nice Phil and I have covered this and I've secured some,

1304
01:07:22,200 --> 01:07:27,040
Speaker 1: but it's in Idaho. Go on Bose Angelus, like we

1305
01:07:27,120 --> 01:07:32,720
Speaker 1: just cannot get the the Christmas ales, like the seasonal

1306
01:07:33,120 --> 01:07:33,959
Speaker 1: cold weather beer.

1307
01:07:34,080 --> 01:07:37,040
Speaker 4: Those are my favorites. That was going to be my answer. Yeah, yep, yeap.

1308
01:07:37,160 --> 01:07:39,760
Speaker 4: So we have jubile Ale, which is good, which is

1309
01:07:39,760 --> 01:07:41,680
Speaker 4: one of my favorites. That's from the shoots out a Bend.

1310
01:07:41,800 --> 01:07:44,160
Speaker 4: Jewbil Ale is a big, good ones, very very unique

1311
01:07:44,160 --> 01:07:45,160
Speaker 4: tasting for sure.

1312
01:07:45,240 --> 01:07:49,680
Speaker 1: But I think that my favorite is Nincossi Slayer and

1313
01:07:49,720 --> 01:07:53,040
Speaker 1: it is not distributed in the state of Montana.

1314
01:07:53,080 --> 01:07:54,320
Speaker 4: The thing is it used to be, but there is

1315
01:07:54,360 --> 01:07:56,280
Speaker 4: I heard about. There was some drama about it. There's

1316
01:07:56,280 --> 01:07:58,560
Speaker 4: like a distributor war they where they were kind of

1317
01:07:58,560 --> 01:08:02,040
Speaker 4: buying for power Ever distributes Nincosti said fine, we're just

1318
01:08:02,040 --> 01:08:04,960
Speaker 4: gonna worth. We'll take our business elsewhere and they stopped

1319
01:08:04,960 --> 01:08:07,520
Speaker 4: bringing Nincosti beers out of you. Which a Slayer is

1320
01:08:07,560 --> 01:08:10,680
Speaker 4: a fine good winter beer. I love beers that don't

1321
01:08:10,680 --> 01:08:12,120
Speaker 4: have like a lot of Christmas beers. We'll do a

1322
01:08:12,160 --> 01:08:14,040
Speaker 4: bunch of additives, like they'll put spices in them of

1323
01:08:14,200 --> 01:08:16,799
Speaker 4: fruits and stuff, which is you know, that's fine on occasion,

1324
01:08:16,840 --> 01:08:18,960
Speaker 4: but I can't drink a lot of that. And I

1325
01:08:19,000 --> 01:08:21,479
Speaker 4: think it's like a natural beer that gets kind of

1326
01:08:21,479 --> 01:08:25,040
Speaker 4: like a nice fruity, roasty flavor with just the grains

1327
01:08:25,080 --> 01:08:26,800
Speaker 4: and the hops. Is impressive.

1328
01:08:28,640 --> 01:08:36,040
Speaker 1: Lower budget option that was surprisingly tasty was the sam

1329
01:08:36,160 --> 01:08:40,760
Speaker 1: Adam Seasonal Oh like their winter beer. We had that

1330
01:08:40,840 --> 01:08:43,200
Speaker 1: in South Dakota. Uh huh A couple of weeks ago,

1331
01:08:43,240 --> 01:08:46,240
Speaker 1: and it was great back when it felt like winter.

1332
01:08:46,520 --> 01:08:48,320
Speaker 1: It was like six blow zero.

1333
01:08:48,640 --> 01:08:48,840
Speaker 2: Yeah.

1334
01:08:49,640 --> 01:08:51,479
Speaker 4: I love a good eggnog. I do a homemade eggnog.

1335
01:08:51,520 --> 01:08:53,240
Speaker 4: The thing about egnog is that I can't drink a

1336
01:08:53,240 --> 01:08:56,080
Speaker 4: lot of it, and I'm not much of a sipper.

1337
01:08:56,080 --> 01:08:57,559
Speaker 4: I don't really like sipping on drinks.

1338
01:08:58,360 --> 01:09:00,759
Speaker 2: You know another Christmas song I Love of His Father

1339
01:09:00,880 --> 01:09:03,360
Speaker 2: Christmas by The Kinks. I'd put that like a top

1340
01:09:03,439 --> 01:09:06,400
Speaker 2: five Christmas song of all time. It's like where some

1341
01:09:06,520 --> 01:09:10,360
Speaker 2: kids are angry that, like, God damn, Santa didn't bring

1342
01:09:10,400 --> 01:09:13,559
Speaker 2: this any gifts again this year doesn't necessarily age great

1343
01:09:13,640 --> 01:09:16,240
Speaker 2: because he asked for a machine gun to scare the

1344
01:09:16,320 --> 01:09:20,160
Speaker 2: kids down the street and father Christmas. So it's a

1345
01:09:20,160 --> 01:09:21,960
Speaker 2: little relic. What else you got, Phil, give us a

1346
01:09:21,960 --> 01:09:22,719
Speaker 2: cup more sure?

1347
01:09:22,920 --> 01:09:24,920
Speaker 4: Dylan's asking what you're gonna do with your deer this year,

1348
01:09:24,960 --> 01:09:27,280
Speaker 4: Spencer Old, specifically, are you going to make more tallow?

1349
01:09:27,400 --> 01:09:30,160
Speaker 2: We have tallo in the freezer. We'll render that over

1350
01:09:30,240 --> 01:09:32,320
Speaker 2: Christmas break sometime. Then we're going to have some more

1351
01:09:32,720 --> 01:09:37,160
Speaker 2: lip bombs, boot bombs, make some lotion, some chapstick. We

1352
01:09:37,479 --> 01:09:39,720
Speaker 2: have great plans with all that towel. I didn't kill

1353
01:09:39,760 --> 01:09:42,200
Speaker 2: anything early enough this year to have like a super

1354
01:09:42,320 --> 01:09:45,400
Speaker 2: super fatty buck. Last year, I killed a buck in

1355
01:09:45,439 --> 01:09:48,559
Speaker 2: Idaho in early October and that thing was loaded with fat.

1356
01:09:49,080 --> 01:09:51,720
Speaker 2: So this year I'm kind of scraping the bottom of

1357
01:09:51,720 --> 01:09:55,680
Speaker 2: the barrel as far as my towel goes. One more, Phil,

1358
01:09:56,160 --> 01:09:57,519
Speaker 2: One more.

1359
01:09:59,160 --> 01:10:02,280
Speaker 4: Why hasn't met eater created an ugly slash holiday sweater

1360
01:10:02,360 --> 01:10:05,360
Speaker 4: that's from a teodor or something or other. Great, that's

1361
01:10:05,360 --> 01:10:08,120
Speaker 4: a great question. I think it's a good idea. We

1362
01:10:08,160 --> 01:10:09,040
Speaker 4: should do something like that.

1363
01:10:09,280 --> 01:10:10,080
Speaker 1: Yep, that's good.

1364
01:10:10,240 --> 01:10:12,320
Speaker 4: That's for Sam upstairs. Okay, take care of that.

1365
01:10:12,479 --> 01:10:16,000
Speaker 2: Twenty twenty six. Now we have pre recorded episodes next

1366
01:10:16,040 --> 01:10:18,760
Speaker 2: week and the week after for Christmas and New Year.

1367
01:10:18,840 --> 01:10:21,559
Speaker 2: So this is our last live show of the year.

1368
01:10:22,000 --> 01:10:25,439
Speaker 2: Thanks for listening, everybody. Merry Christmas, Happy Holidays, Happy New Year.

1369
01:10:25,360 --> 01:10:27,599
Speaker 1: Travel safe, get outside, have fun.

1370
01:10:27,720 --> 01:10:30,559
Speaker 2: Appreciate you hanging with us for twenty twenty five. By now,