1
00:00:08,960 --> 00:00:12,760
Speaker 1: This is me eat your podcast coming at you shirtless,

2
00:00:12,800 --> 00:00:17,680
Speaker 1: severely bug bitten, and in my case, underwear listening podcast.

3
00:00:18,280 --> 00:00:23,360
Speaker 1: You can't predict anything presented by first like creating proven

4
00:00:23,640 --> 00:00:27,840
Speaker 1: versatile hunting apparel from Marino bass layers to technical outerwear

5
00:00:28,000 --> 00:00:36,800
Speaker 1: for every hunt first light, go farther, stay longer? Are

6
00:00:36,840 --> 00:00:38,760
Speaker 1: you on? Phil? Might as just cover this we're on.

7
00:00:39,920 --> 00:00:42,640
Speaker 1: I think a great app for Doug and you could

8
00:00:42,640 --> 00:00:46,279
Speaker 1: call it Doug Durn would be like, you just turn

9
00:00:46,360 --> 00:00:48,520
Speaker 1: your phone on. This is safe, Doug. This is safe.

10
00:00:48,520 --> 00:00:50,960
Speaker 1: Dog a lot of trouble, especially if he cuts off

11
00:00:50,960 --> 00:00:55,440
Speaker 1: his fingers off in a farm accident, like, yeah, he's looking,

12
00:00:55,440 --> 00:00:58,640
Speaker 1: He's already got a named up. If Doug had an

13
00:00:58,640 --> 00:01:01,760
Speaker 1: app that he could just turn his phone on, right,

14
00:01:01,840 --> 00:01:03,600
Speaker 1: turned like the voice recorder on, and it would just

15
00:01:03,680 --> 00:01:07,120
Speaker 1: fact check everything everybody told him for him anyways, and

16
00:01:07,160 --> 00:01:13,200
Speaker 1: then do alerts when he found a problem. So that

17
00:01:13,240 --> 00:01:16,160
Speaker 1: way Doug could like maintain eye contact with people he's

18
00:01:16,160 --> 00:01:19,280
Speaker 1: talking to and not be busy typing everything you tell

19
00:01:19,360 --> 00:01:21,000
Speaker 1: him into his phone to find out but what you

20
00:01:21,040 --> 00:01:23,360
Speaker 1: said isn't actually true. Yeah, right, he's fact checking you.

21
00:01:23,440 --> 00:01:25,679
Speaker 1: I'll still part of the conversation. Yeah, I'll be like, oh,

22
00:01:25,680 --> 00:01:27,400
Speaker 1: you know acorns, you know they as see as they

23
00:01:27,440 --> 00:01:30,880
Speaker 1: sure they drop around you know October second, Well, actually

24
00:01:30,920 --> 00:01:34,759
Speaker 1: you know if you look October one's peak, acorn dropped there.

25
00:01:35,080 --> 00:01:38,720
Speaker 1: We had an argument about how many discussion I should

26
00:01:38,720 --> 00:01:43,160
Speaker 1: say about how many acorns and oak tree drops when

27
00:01:43,200 --> 00:01:45,840
Speaker 1: Steve was at the place one time, and um, I

28
00:01:45,880 --> 00:01:48,840
Speaker 1: don't know, it was widely varying. I said ten thousand,

29
00:01:48,840 --> 00:01:51,080
Speaker 1: he said a thousand or something like that, and we

30
00:01:51,080 --> 00:01:53,880
Speaker 1: were trying to find it on Google as I do

31
00:01:54,520 --> 00:02:00,040
Speaker 1: and as I'm as I'm talking right, And at that

32
00:02:00,240 --> 00:02:03,200
Speaker 1: moment a friend of mine calls and I said, well,

33
00:02:03,240 --> 00:02:05,200
Speaker 1: this guy I'll know, and Steve goes, okay, this is

34
00:02:05,280 --> 00:02:08,320
Speaker 1: the Whatever he says is the answer. And I think

35
00:02:08,320 --> 00:02:11,560
Speaker 1: he said a thousand, and he's I'm no longer friends

36
00:02:11,600 --> 00:02:16,440
Speaker 1: with that guy. I feel like that's conversation to have

37
00:02:16,520 --> 00:02:19,600
Speaker 1: with Clay. I'm taking my I'm taking my kids to

38
00:02:19,840 --> 00:02:23,440
Speaker 1: Dug Durn's the spring, and um, a lot of enthusiasm

39
00:02:23,440 --> 00:02:28,560
Speaker 1: about ditch burning because they got to burn ditches. It

40
00:02:28,680 --> 00:02:32,320
Speaker 1: dugs and they're like anything that's on fire and imagine

41
00:02:32,320 --> 00:02:35,799
Speaker 1: if fired it's three yards long. It's like there's like

42
00:02:35,840 --> 00:02:38,360
Speaker 1: for a kid, there's you know nothing because at the

43
00:02:38,360 --> 00:02:40,800
Speaker 1: problem with every fire is in their mind, every fire

44
00:02:40,880 --> 00:02:45,080
Speaker 1: is not long enough. But here's a fire that runs

45
00:02:45,160 --> 00:02:47,440
Speaker 1: way down the road with a crook in the middle

46
00:02:47,480 --> 00:02:50,639
Speaker 1: of it too that you possibly where you can get

47
00:02:50,720 --> 00:02:55,120
Speaker 1: you can get burnt, and two soakers just to keep

48
00:02:55,160 --> 00:02:57,840
Speaker 1: the excitement alive. This past spring, I ended up moving

49
00:02:57,880 --> 00:03:00,359
Speaker 1: the fire across the road and damn near burning pine

50
00:03:00,400 --> 00:03:02,519
Speaker 1: trees down Yeah. I was gett a little stressed out.

51
00:03:03,320 --> 00:03:06,240
Speaker 1: The pine duff caught on fire. So the next thing

52
00:03:06,280 --> 00:03:07,840
Speaker 1: you know, we had a hose down there and Jimmy

53
00:03:07,919 --> 00:03:11,760
Speaker 1: was getting fire instructions from Steve. I felt like put

54
00:03:11,840 --> 00:03:14,359
Speaker 1: a little helmet on him. They were like, okay, dial

55
00:03:14,960 --> 00:03:21,800
Speaker 1: nine one and put your finger on the one. All right.

56
00:03:21,880 --> 00:03:26,240
Speaker 1: So Doug's obviously here, Sean Weavers here, Krian Spencing, New

57
00:03:26,240 --> 00:03:28,400
Speaker 1: Hearts way down in the corner. Spencer's gonna hit us

58
00:03:28,440 --> 00:03:31,680
Speaker 1: with another little Google fact before we proceed. Phil, who

59
00:03:31,760 --> 00:03:33,359
Speaker 1: looked like a skater a minute ago. But you took

60
00:03:33,400 --> 00:03:35,320
Speaker 1: that skater hat off. This is this is the hat

61
00:03:35,400 --> 00:03:39,720
Speaker 1: I wear when um my hair looks like shit. Oh yeah,

62
00:03:39,920 --> 00:03:43,720
Speaker 1: warm Springs production hat. That's right. Cute little bang sticking

63
00:03:43,720 --> 00:03:47,240
Speaker 1: out of their T shirt. Thanks man, Ritchie, Ritchie one,

64
00:03:47,440 --> 00:03:49,360
Speaker 1: tell tell me what you want Richie. And were you

65
00:03:49,400 --> 00:03:51,720
Speaker 1: surprised when he won? Uh? Yeah, no I was. I

66
00:03:51,760 --> 00:03:56,640
Speaker 1: was very surprised that nothing like that ever happens to me. Mum,

67
00:03:57,160 --> 00:04:00,240
Speaker 1: I'm the podcast winner of the trip you giveaway. So

68
00:04:00,240 --> 00:04:03,120
Speaker 1: so how did how did we know? How did like

69
00:04:03,200 --> 00:04:06,200
Speaker 1: meat Eater notify you that you want the thing and

70
00:04:06,320 --> 00:04:09,320
Speaker 1: we're coming to play trivia? Well, that was really bad

71
00:04:09,360 --> 00:04:11,480
Speaker 1: about checking my email that week that I won and

72
00:04:11,600 --> 00:04:14,760
Speaker 1: I almost missed out on it. We they almost moved

73
00:04:14,760 --> 00:04:17,039
Speaker 1: down to the next person moved on. That's that. That's

74
00:04:17,040 --> 00:04:20,240
Speaker 1: actually really strict. I believe it. It has to be

75
00:04:20,360 --> 00:04:24,400
Speaker 1: right when I've been involved in t RCP giveaways. Um,

76
00:04:24,440 --> 00:04:26,480
Speaker 1: there's sort of like the set thing. It's like there's

77
00:04:26,480 --> 00:04:30,280
Speaker 1: this set cadence in which you notify especially and then

78
00:04:30,279 --> 00:04:33,800
Speaker 1: you have to like bump along and you can't. I'll

79
00:04:33,800 --> 00:04:36,080
Speaker 1: spare everybody, But anyways, you probably probably did get lucky,

80
00:04:36,480 --> 00:04:39,400
Speaker 1: very lucky because the one year colleagues actually found my

81
00:04:39,440 --> 00:04:41,279
Speaker 1: numbers somewhere and Karin called me out of the blue,

82
00:04:41,720 --> 00:04:43,679
Speaker 1: so she had it broke some kind of law. Maybe

83
00:04:43,680 --> 00:04:45,080
Speaker 1: I don't know what you guys laws are on that,

84
00:04:45,200 --> 00:04:49,240
Speaker 1: but yeah, like the sweep Steaks people sweep like the

85
00:04:49,279 --> 00:04:56,120
Speaker 1: sleep Steaks version of the A T F At what

86
00:04:56,160 --> 00:04:58,360
Speaker 1: age do you decide if you're Ritchie with a Y

87
00:04:58,480 --> 00:05:02,960
Speaker 1: or Richie with an I E? What do you what

88
00:05:03,000 --> 00:05:07,080
Speaker 1: do you use? So you do R I C H Y. Yeah,

89
00:05:07,200 --> 00:05:10,560
Speaker 1: since I learned how to write my name Tucson, Arizona, Arizona.

90
00:05:10,600 --> 00:05:12,680
Speaker 1: If you had to put your trivia skills on a

91
00:05:12,680 --> 00:05:14,640
Speaker 1: sliding scale at one to ten, where would you land?

92
00:05:14,640 --> 00:05:17,880
Speaker 1: It depends on the day of the week. Someday you're

93
00:05:17,880 --> 00:05:20,919
Speaker 1: pretty hot, Sundays I'm hot, Somedays I'm not. Spencer hit

94
00:05:20,960 --> 00:05:24,839
Speaker 1: him with a sample trivia. A sample sample trivia. Here's

95
00:05:24,880 --> 00:05:29,200
Speaker 1: my favorite trivia question. We use it all the time. Okay, okay, Well,

96
00:05:29,320 --> 00:05:31,240
Speaker 1: let me think of a good one name for me.

97
00:05:33,000 --> 00:05:38,880
Speaker 1: M h okay. I've got a good one, but I

98
00:05:38,880 --> 00:05:40,120
Speaker 1: don't want to burn it because I gave it the

99
00:05:40,120 --> 00:05:41,640
Speaker 1: Spencer and it will be a good one. Oh, here's

100
00:05:41,640 --> 00:05:44,000
Speaker 1: a good one. This is watch this segue pronounced this

101
00:05:44,040 --> 00:05:48,960
Speaker 1: word for me? Oh, cow's cups? Which version you want see?

102
00:05:49,000 --> 00:05:53,840
Speaker 1: He already wont answer. The answer was the correct answer

103
00:05:53,960 --> 00:06:00,320
Speaker 1: was depends. I had me a brand new sticker from

104
00:06:00,440 --> 00:06:03,680
Speaker 1: Jim Heffelfinger's also here and Ross Comperman from First Lights here,

105
00:06:04,120 --> 00:06:08,160
Speaker 1: my esteemed colleague. Great to be here, Uh, Jim Heffelfinger. UM,

106
00:06:08,279 --> 00:06:09,599
Speaker 1: I don't want to say you and dog are my

107
00:06:09,640 --> 00:06:16,280
Speaker 1: favorite people, but you're up there, up there. Um brought

108
00:06:16,279 --> 00:06:18,960
Speaker 1: me a sticker that says here here, here's the problem

109
00:06:19,040 --> 00:06:23,279
Speaker 1: with the sticker. Okay, yeah, no, I'm gonna read it

110
00:06:23,320 --> 00:06:25,599
Speaker 1: like this. It's a sticker with a picture of Elliott

111
00:06:26,160 --> 00:06:33,560
Speaker 1: cous Elliott cows. Okay, cows, just like Okay, this guy

112
00:06:33,600 --> 00:06:37,680
Speaker 1: believed in levitation. He was kind of a crackpot. He

113
00:06:37,760 --> 00:06:39,600
Speaker 1: was kind of a cracker. He was like he had

114
00:06:39,600 --> 00:06:41,280
Speaker 1: some hits, a brilliant people are Yeah, he had some

115
00:06:41,360 --> 00:06:48,600
Speaker 1: hits and some misses. Uh pronounced his name cows cows.

116
00:06:49,000 --> 00:06:52,359
Speaker 1: And now there's a spirited debate whether you say a

117
00:06:52,480 --> 00:06:56,279
Speaker 1: cus deer or a cow's deer. I would say there's

118
00:06:56,279 --> 00:07:02,960
Speaker 1: not much debate, everybody, because I always earned to Um.

119
00:07:03,120 --> 00:07:07,360
Speaker 1: I didn't know that these things existed until I became

120
00:07:07,400 --> 00:07:12,679
Speaker 1: a subscriber to Western Hunter magazine, published by Chris Denham

121
00:07:12,720 --> 00:07:18,760
Speaker 1: Denham and Chris Denham told me that he'll say who's

122
00:07:18,800 --> 00:07:21,800
Speaker 1: till the day he dies, and he doesn't care what

123
00:07:21,920 --> 00:07:25,200
Speaker 1: anybody says. So I just said a lot of people

124
00:07:25,280 --> 00:07:27,520
Speaker 1: like that. I adopted that, but half a finger actually

125
00:07:27,520 --> 00:07:31,239
Speaker 1: wrote you wrote like an academic paper, no magazine article

126
00:07:31,800 --> 00:07:33,280
Speaker 1: being Yeah, I'll be in the next issue of that.

127
00:07:33,360 --> 00:07:35,000
Speaker 1: It was in a while, ife views and he goes

128
00:07:35,040 --> 00:07:38,160
Speaker 1: into all the details. Okay, go ahead, hit me with it.

129
00:07:38,360 --> 00:07:40,120
Speaker 1: Talk me into it, because I'm not gonna switch, but

130
00:07:40,200 --> 00:07:43,400
Speaker 1: talk me into it. Yeah, And that's the issue I

131
00:07:43,440 --> 00:07:45,320
Speaker 1: didn't tell the good part of the sticker. The good

132
00:07:45,320 --> 00:07:47,800
Speaker 1: part of the sticker says, it says who's white tail deer?

133
00:07:49,600 --> 00:07:56,600
Speaker 1: No it doesn't. It says who's white tail dear? Butcher

134
00:07:56,640 --> 00:08:00,880
Speaker 1: the deer, not the name. Before you go, before you talk,

135
00:08:00,880 --> 00:08:04,920
Speaker 1: I'm gonna point something out you. When you write white

136
00:08:04,920 --> 00:08:10,880
Speaker 1: tailed deer, you do white hyphen tailed. When we do

137
00:08:10,960 --> 00:08:14,760
Speaker 1: books and our books go to the final copy edit person,

138
00:08:14,840 --> 00:08:19,040
Speaker 1: like the real crackpot copy editors, they always do that.

139
00:08:20,000 --> 00:08:22,400
Speaker 1: They always change it to that, and I always set

140
00:08:24,160 --> 00:08:29,360
Speaker 1: it said it meaning I always reject the correction and

141
00:08:29,400 --> 00:08:32,640
Speaker 1: I make it say white tail. So you're wrong on

142
00:08:32,679 --> 00:08:35,959
Speaker 1: a couple counts on that one sticker sticker and you've

143
00:08:36,000 --> 00:08:39,160
Speaker 1: got two errors. Let me tell you something. Are you

144
00:08:39,200 --> 00:08:45,960
Speaker 1: familiar with um? Like? Uh? When it comes to English

145
00:08:46,040 --> 00:08:48,880
Speaker 1: language use, there's sort of like two dictionaries, right, there's

146
00:08:48,880 --> 00:08:54,079
Speaker 1: two types descriptive in prescriptive no meaning, one seeks to

147
00:08:54,160 --> 00:08:56,720
Speaker 1: describe how the language is used, and one seeks to

148
00:08:56,800 --> 00:09:00,400
Speaker 1: advise on how to use the language. I to be

149
00:09:00,520 --> 00:09:07,559
Speaker 1: more descriptive. And when I see a deer, like let's

150
00:09:07,559 --> 00:09:09,400
Speaker 1: Sam's sitting there in a place that has mule deer

151
00:09:09,400 --> 00:09:15,840
Speaker 1: and white tails, and someone says, okay, do I say, oh, no,

152
00:09:16,120 --> 00:09:19,080
Speaker 1: that's a white tailed deer. I don't. I'll go that's

153
00:09:19,080 --> 00:09:21,520
Speaker 1: the white tail. I say white tail. But when I

154
00:09:21,559 --> 00:09:24,120
Speaker 1: write it, you know, the correct way to write it

155
00:09:24,200 --> 00:09:26,600
Speaker 1: is white tailed deer. So when you write it it

156
00:09:26,640 --> 00:09:28,680
Speaker 1: has to be As a biologist, it has to be

157
00:09:28,720 --> 00:09:30,920
Speaker 1: white tailed deer. But in the magazine, I say white tails.

158
00:09:31,280 --> 00:09:34,120
Speaker 1: When I'm sitting braocular, I say white tails. Okay, taught

159
00:09:34,160 --> 00:09:36,200
Speaker 1: me to tell me why it's cows. And I'll never

160
00:09:36,240 --> 00:09:37,360
Speaker 1: bring it up for the rest of my life. But

161
00:09:37,360 --> 00:09:39,680
Speaker 1: I won't I won't switch. That'll never bring it up

162
00:09:39,720 --> 00:09:41,400
Speaker 1: for the rest of my life. It's just pretty simple.

163
00:09:41,480 --> 00:09:44,120
Speaker 1: His name was pronounced cows. How did everybody? Did he

164
00:09:44,160 --> 00:09:46,840
Speaker 1: tell you his name? And he did? Actually, yes, yes,

165
00:09:47,280 --> 00:09:50,840
Speaker 1: so late was he levitating? He was? He wrote a

166
00:09:50,840 --> 00:09:53,280
Speaker 1: book called Kyle check Lists of Birds in North America,

167
00:09:53,400 --> 00:09:56,160
Speaker 1: and one of those birds has a subspecies name that's

168
00:09:56,240 --> 00:09:59,840
Speaker 1: cows named after him. And he has a footnote that says,

169
00:10:00,080 --> 00:10:03,840
Speaker 1: here's how my family name is pronounced ceow z. So he,

170
00:10:04,040 --> 00:10:07,520
Speaker 1: in his own words, in his own publication, tells everybody

171
00:10:07,520 --> 00:10:09,840
Speaker 1: how to pronounce his name. So there's really no there's

172
00:10:09,880 --> 00:10:12,240
Speaker 1: no question how it's supposed to be pronounced. There's a

173
00:10:12,240 --> 00:10:14,800
Speaker 1: big question of how people choose to pronounce it. I

174
00:10:14,800 --> 00:10:16,640
Speaker 1: then you choose to pronounced any way they want, but

175
00:10:16,840 --> 00:10:19,600
Speaker 1: they should recognize what's correct. What is it? I don't

176
00:10:19,600 --> 00:10:21,480
Speaker 1: know how you come back from that. Yeah, that's hard

177
00:10:21,920 --> 00:10:24,960
Speaker 1: to come back to it. I mean, elliot, come back

178
00:10:25,000 --> 00:10:26,680
Speaker 1: like you come back with a sentence like this. Me

179
00:10:26,679 --> 00:10:32,120
Speaker 1: and Ross are going coos. You're hunting in January. That

180
00:10:32,160 --> 00:10:35,280
Speaker 1: reminds me of the white tailed versus white tail reminds

181
00:10:35,320 --> 00:10:39,240
Speaker 1: me of one. Damn So if your car doesn't start

182
00:10:39,280 --> 00:10:42,440
Speaker 1: in the morning, are you someone that says, my damn

183
00:10:42,480 --> 00:10:46,800
Speaker 1: car didn't start, or my damned car didn't start. I've

184
00:10:46,800 --> 00:10:48,920
Speaker 1: had this debate with several people. I fall into the

185
00:10:49,000 --> 00:10:52,640
Speaker 1: ladder like it was, you'll put the d on there.

186
00:10:52,840 --> 00:10:57,440
Speaker 1: It was damned that's why it didn't start. On the switch,

187
00:10:57,480 --> 00:11:01,080
Speaker 1: I will switch that. I don't know. Right there, I go,

188
00:11:02,559 --> 00:11:04,719
Speaker 1: Spencer hits with your quick little factor, not little, a

189
00:11:04,760 --> 00:11:07,360
Speaker 1: little factoid, your little punt gun factoid? What that? I

190
00:11:07,400 --> 00:11:09,720
Speaker 1: don't believe, But I kind of think. I don't think

191
00:11:09,760 --> 00:11:11,720
Speaker 1: Sean and I came to an agreement because I can't

192
00:11:11,760 --> 00:11:14,000
Speaker 1: find anything definitive. The only thing I can find is

193
00:11:14,040 --> 00:11:17,240
Speaker 1: on You're not gonna accept this Wikipedia. No, no, no,

194
00:11:17,360 --> 00:11:22,800
Speaker 1: listen man, h no, I'm not. I'm not. When you're

195
00:11:22,840 --> 00:11:25,400
Speaker 1: if you're at a like an actual if you're writing

196
00:11:25,440 --> 00:11:29,439
Speaker 1: for um um, when you go through the fact check

197
00:11:29,520 --> 00:11:33,080
Speaker 1: process that a magazine, they won't accept Wikipedia. But is

198
00:11:33,120 --> 00:11:35,800
Speaker 1: there a is there a footnote like source? Yeah? But

199
00:11:35,840 --> 00:11:38,319
Speaker 1: then I can't find anything within that source that backs

200
00:11:38,360 --> 00:11:40,360
Speaker 1: up with the Spencers trying to tell me that in

201
00:11:40,520 --> 00:11:46,040
Speaker 1: eighteen sixty they had already banned the punt gun. I

202
00:11:46,080 --> 00:11:48,640
Speaker 1: feel like it was a rolling band that like some

203
00:11:48,679 --> 00:11:52,000
Speaker 1: states were out lying, and then at one point it's like, uh,

204
00:11:52,080 --> 00:11:56,800
Speaker 1: everybody said no to it. This sentence again, you're not

205
00:11:56,840 --> 00:11:58,880
Speaker 1: gonna accept it from Wikipedia, tis in the United States

206
00:11:58,880 --> 00:12:04,000
Speaker 1: to practice depleted there, this practice depleted stocks of wild waterfowl.

207
00:12:04,080 --> 00:12:07,000
Speaker 1: By the eighteen sixties, most states had banned the practice.

208
00:12:07,160 --> 00:12:09,560
Speaker 1: Lacy Act of nineteen Hunter banned the transport of wild

209
00:12:09,559 --> 00:12:12,400
Speaker 1: game across state lines in the practice of marketing. Market

210
00:12:12,480 --> 00:12:15,680
Speaker 1: hunting was outlied outlawed by a series of federal laws

211
00:12:15,720 --> 00:12:21,640
Speaker 1: in nineteen eighteen. I don't feel like that's satisfied, Trivia voice, Dude,

212
00:12:22,480 --> 00:12:24,640
Speaker 1: you they're just still not buying it, because, like I

213
00:12:24,679 --> 00:12:28,000
Speaker 1: can sit here right here, there's a nineteen fourteen listing

214
00:12:28,080 --> 00:12:33,280
Speaker 1: of the punt gun owners in suth Quhana Flats. There's

215
00:12:33,320 --> 00:12:38,200
Speaker 1: like a punt guns Association, punt gun enthusiasts. You know,

216
00:12:38,240 --> 00:12:41,400
Speaker 1: when I was researching the punt gun, they still have

217
00:12:41,559 --> 00:12:45,200
Speaker 1: like wildlife officers in India that will confiscate like two

218
00:12:45,280 --> 00:12:48,040
Speaker 1: or three a year from people that are out killing

219
00:12:48,280 --> 00:12:52,160
Speaker 1: waterfowl with them. Man, I think that we should and

220
00:12:52,480 --> 00:12:55,400
Speaker 1: I'll okay this right here and now I think we

221
00:12:55,520 --> 00:12:57,439
Speaker 1: gotta get it. We gotta start getting in on those

222
00:12:57,480 --> 00:12:59,480
Speaker 1: sites where you can buy a punt gun and get

223
00:12:59,480 --> 00:13:01,200
Speaker 1: a punt gun, start messing around with it out in

224
00:13:01,200 --> 00:13:06,080
Speaker 1: the field. Yeah, that we should get a punt gun.

225
00:13:06,160 --> 00:13:09,400
Speaker 1: Let's do that and some real cheap, beat up old

226
00:13:09,400 --> 00:13:13,240
Speaker 1: decoys Facebook Marketplace or something. See how big a spread

227
00:13:13,280 --> 00:13:16,040
Speaker 1: we can hit clay pigeons. I don't know that works.

228
00:13:16,040 --> 00:13:17,880
Speaker 1: I would love to get a punt gun and start

229
00:13:18,000 --> 00:13:20,800
Speaker 1: having become like a punt gun enthusiast. Do you think

230
00:13:20,840 --> 00:13:23,160
Speaker 1: your kids would be more into the fire or the

231
00:13:23,160 --> 00:13:25,679
Speaker 1: punt gun. Oh, if we got a big ditch fire

232
00:13:25,720 --> 00:13:31,959
Speaker 1: going and then we're gonna shot the punt gun down

233
00:13:32,200 --> 00:13:36,480
Speaker 1: into the fire, we don't have to choose, they would

234
00:13:36,559 --> 00:13:38,800
Speaker 1: like Yeah, they would be very into that. I want

235
00:13:38,840 --> 00:13:42,520
Speaker 1: in on this. That sounds awesome. Rosby shoved my kids

236
00:13:42,520 --> 00:13:47,199
Speaker 1: out of the way, and we can we can get

237
00:13:47,240 --> 00:13:50,120
Speaker 1: this punk gun like an LLC. Get about twenty of us, right,

238
00:13:50,160 --> 00:13:52,839
Speaker 1: and everyone pitches in a couple of hundred bucks. We

239
00:13:52,880 --> 00:13:54,480
Speaker 1: got a punk gun all of a sudden. No, I

240
00:13:54,520 --> 00:13:56,400
Speaker 1: just think that, well, I think that that that our

241
00:13:56,440 --> 00:13:58,160
Speaker 1: company will just buy the punt gun. There you go,

242
00:13:58,640 --> 00:14:00,960
Speaker 1: that's good. Can you start bidding on punt guns for us?

243
00:14:01,360 --> 00:14:03,640
Speaker 1: I will do some real research because I feel like

244
00:14:03,640 --> 00:14:07,400
Speaker 1: you're being for real. Oh, I'm dead serious. I don't know.

245
00:14:07,520 --> 00:14:09,680
Speaker 1: I'm gonna put the mic down now and start typing.

246
00:14:09,720 --> 00:14:12,120
Speaker 1: So I thought Steve was joking about this lazy boy

247
00:14:12,160 --> 00:14:14,600
Speaker 1: you're sitting in Spencer for months. It turns out he wasn't.

248
00:14:14,720 --> 00:14:16,560
Speaker 1: So I would say just go ahead. If we had

249
00:14:16,600 --> 00:14:18,959
Speaker 1: a punt gun, I would become a punt gun enthusiast.

250
00:14:19,720 --> 00:14:23,760
Speaker 1: Yeah for sure. Uh that's a great segue. And u um,

251
00:14:24,440 --> 00:14:28,480
Speaker 1: another edition of Shaun's Duck Report. Now, Sean, I gotta

252
00:14:28,520 --> 00:14:32,520
Speaker 1: warn you you get to talking about science E stuff.

253
00:14:33,560 --> 00:14:36,920
Speaker 1: M Yeah, you gotta health finger sitting here. That's fair.

254
00:14:37,080 --> 00:14:41,240
Speaker 1: So normally when someone talks about something science E. A

255
00:14:41,240 --> 00:14:46,600
Speaker 1: couple days later I get an email being actually so

256
00:14:47,720 --> 00:14:51,280
Speaker 1: he's just gonna be able to live do it? Dogs

257
00:14:51,280 --> 00:14:57,880
Speaker 1: already typing out he started started and dogs already typing

258
00:14:58,240 --> 00:15:01,800
Speaker 1: this one. Well, I actually wanted to talk about two

259
00:15:01,800 --> 00:15:07,160
Speaker 1: different waterfoul things because one is like constant email thing

260
00:15:07,240 --> 00:15:11,440
Speaker 1: we get or you know, messages on Instagram whatever else. Right,

261
00:15:11,560 --> 00:15:14,480
Speaker 1: breast first one this year, I mean the first one

262
00:15:14,560 --> 00:15:19,560
Speaker 1: that was so bad it was unquestionably inedible during the

263
00:15:19,640 --> 00:15:23,560
Speaker 1: Youth Duck season. Yeah, what do you mean, I mean

264
00:15:24,160 --> 00:15:27,960
Speaker 1: inedible because it messes with you because it's not inedible.

265
00:15:31,320 --> 00:15:34,000
Speaker 1: That's the conversation I want to have about this. It's this.

266
00:15:35,480 --> 00:15:37,280
Speaker 1: If it was like a thing that was happening to

267
00:15:37,320 --> 00:15:40,240
Speaker 1: me all the time, I'd get over it. Okay, I'm

268
00:15:40,320 --> 00:15:47,920
Speaker 1: raising a family now. I picked my battles night. We

269
00:15:47,960 --> 00:15:52,760
Speaker 1: had ducks and duck hearts. Pretty impressive. Why I what

270
00:15:52,840 --> 00:15:56,280
Speaker 1: I do is I take um bear fat or pork fat,

271
00:15:57,000 --> 00:16:00,280
Speaker 1: and I simmer the duck hearts in the at for

272
00:16:00,320 --> 00:16:05,840
Speaker 1: a long time, just in the bubbles. Then I put

273
00:16:05,920 --> 00:16:08,840
Speaker 1: them on a skewer and put him on a hot grill. Okay,

274
00:16:09,720 --> 00:16:13,680
Speaker 1: I make my kids eat them. Do they like them

275
00:16:13,800 --> 00:16:16,360
Speaker 1: or do they object? No, they end up liking them.

276
00:16:16,400 --> 00:16:19,680
Speaker 1: But I'm like, eat that. Then you have the other stuff. Okay,

277
00:16:20,120 --> 00:16:23,120
Speaker 1: do they know what it is, Steve, Oh yeah, it's

278
00:16:23,120 --> 00:16:25,600
Speaker 1: got it's got a hole in it, so yeah, that's

279
00:16:25,600 --> 00:16:30,200
Speaker 1: where his blood comes in and out. Um. But if

280
00:16:30,240 --> 00:16:33,200
Speaker 1: I don't want to do like, I don't want to

281
00:16:33,200 --> 00:16:36,720
Speaker 1: do the I didn't want to serve that. There's been

282
00:16:36,800 --> 00:16:40,040
Speaker 1: one we we believe in the like everybody's got it.

283
00:16:40,040 --> 00:16:42,400
Speaker 1: We don't cook special stuff like everybody eats everybody eats.

284
00:16:42,400 --> 00:16:44,240
Speaker 1: There's been one time we had something made out of

285
00:16:44,720 --> 00:16:48,360
Speaker 1: older deer's liver and my daughter's crying about it. She

286
00:16:48,400 --> 00:16:51,880
Speaker 1: didn't like it, and um, I was like, I don't care,

287
00:16:52,560 --> 00:16:55,760
Speaker 1: and then my wife. If my wife goes rosy, you

288
00:16:55,760 --> 00:17:01,360
Speaker 1: don't need to eat that. But yeah, it would just

289
00:17:01,360 --> 00:17:03,480
Speaker 1: cause a lot of trouble if i'd but because we

290
00:17:03,360 --> 00:17:05,400
Speaker 1: were all looking at it, and if I served it,

291
00:17:05,400 --> 00:17:06,960
Speaker 1: it would have set me back and then like I

292
00:17:07,000 --> 00:17:11,720
Speaker 1: would have lost credibility. So here's where here's the point

293
00:17:11,760 --> 00:17:14,879
Speaker 1: I bring up that I feel like doesn't ever get discussed.

294
00:17:15,200 --> 00:17:18,679
Speaker 1: The only time I ever noticed rice breast personally is

295
00:17:18,720 --> 00:17:21,679
Speaker 1: if I've breasted a bird. But if you're plucking your birds,

296
00:17:22,240 --> 00:17:25,679
Speaker 1: you're never looking past the skin. So you're probably a

297
00:17:25,760 --> 00:17:32,320
Speaker 1: lot of rice breasted birds. This is you're doing a microaggression. Yeah,

298
00:17:32,400 --> 00:17:34,480
Speaker 1: let me tell you something. Let me tell you something.

299
00:17:35,160 --> 00:17:38,160
Speaker 1: You ever hunt you do you ever hunt youth duck season? Yes?

300
00:17:38,400 --> 00:17:41,080
Speaker 1: And I know you're not plucking them. Then I there,

301
00:17:41,200 --> 00:17:43,480
Speaker 1: they got all the pin feathers. They got all the

302
00:17:43,480 --> 00:17:45,879
Speaker 1: pin feathers, of course, and there's no fat and the

303
00:17:45,920 --> 00:17:50,440
Speaker 1: skin is too thin. My entire point is that the

304
00:17:50,440 --> 00:17:54,919
Speaker 1: the discussion around the messages I get around like should

305
00:17:54,960 --> 00:18:02,280
Speaker 1: I eat a rice breasted birds? Only because so rice

306
00:18:02,320 --> 00:18:06,639
Speaker 1: breast is uh sarco cystus. It's pretty much ciss in

307
00:18:06,680 --> 00:18:09,919
Speaker 1: the breasts of the duck that look like rice. Hence

308
00:18:09,960 --> 00:18:13,360
Speaker 1: the rice breast. Is it all posters? It is it posters?

309
00:18:13,359 --> 00:18:18,159
Speaker 1: A little worms. They're technically assist created by whatever the

310
00:18:18,160 --> 00:18:23,600
Speaker 1: parasite is. That's it's not actual worms. It's just a

311
00:18:23,720 --> 00:18:28,560
Speaker 1: cyst created by the parasite and minor infection. Oh and

312
00:18:28,640 --> 00:18:32,040
Speaker 1: it looks, I mean, it looks ridiculous. It gets and

313
00:18:32,359 --> 00:18:35,920
Speaker 1: for whatever reason, it seems like birds you shoot early

314
00:18:36,000 --> 00:18:39,960
Speaker 1: in the year, you know, shovelers off the local ship ponds.

315
00:18:40,040 --> 00:18:44,960
Speaker 1: Tends to be like the duck you find with it.

316
00:18:44,960 --> 00:18:47,399
Speaker 1: It's not pleasant to look at it all. If I

317
00:18:47,520 --> 00:18:51,720
Speaker 1: give if, if if I gave you a Pepsi challenge

318
00:18:52,000 --> 00:18:55,760
Speaker 1: of the most rice breasted duck on the planet, m

319
00:18:56,800 --> 00:18:59,080
Speaker 1: in a non do you feel that you'd be able

320
00:18:59,080 --> 00:19:03,520
Speaker 1: to pick out the rice breast? Oh? No, I don't. Like,

321
00:19:03,560 --> 00:19:09,160
Speaker 1: I don't know you've been eating them. I've never not

322
00:19:09,240 --> 00:19:15,560
Speaker 1: eating them. Yes, the double negative, because because like it's

323
00:19:15,640 --> 00:19:20,280
Speaker 1: a mess, it's a point for me is like that.

324
00:19:21,240 --> 00:19:26,360
Speaker 1: I'm sure I've eaten dozens of rice breast birds when

325
00:19:26,359 --> 00:19:28,560
Speaker 1: they're plucked, but you so why not eat them when

326
00:19:28,560 --> 00:19:32,080
Speaker 1: they're breasted because I feel like, let me ask you,

327
00:19:32,119 --> 00:19:35,320
Speaker 1: yess no question, a tournament to tacos so you don't

328
00:19:35,359 --> 00:19:38,280
Speaker 1: have to look at it. Have you ever found one

329
00:19:38,359 --> 00:19:42,239
Speaker 1: so bad that you discarded it? I probably have when

330
00:19:42,280 --> 00:19:46,680
Speaker 1: I was younger, not anytime recently. So your your hypothesis

331
00:19:47,000 --> 00:19:52,400
Speaker 1: is because you know or probability wise, you've probably ingested

332
00:19:52,400 --> 00:19:56,320
Speaker 1: this several times without knowing it and nothing bad ostensibly

333
00:19:56,359 --> 00:19:59,920
Speaker 1: happened to you. That is perfectly fine. I mean, it's

334
00:20:01,160 --> 00:20:05,560
Speaker 1: it's like unanimous that it's doesn't affect it doesn't hurt

335
00:20:05,680 --> 00:20:08,640
Speaker 1: humans in any way. It just grows to look at

336
00:20:08,920 --> 00:20:14,040
Speaker 1: cook it, like let's just say you smoke a sarcrocystic

337
00:20:14,240 --> 00:20:19,080
Speaker 1: duck breast or you you know, grill it or you like,

338
00:20:19,200 --> 00:20:22,040
Speaker 1: can you actually look at the cooked meat and see

339
00:20:22,080 --> 00:20:25,960
Speaker 1: that there is a difference and is there a textural

340
00:20:26,040 --> 00:20:30,040
Speaker 1: difference when you're you definitely see it, but I haven't

341
00:20:30,560 --> 00:20:34,040
Speaker 1: noticed it like texture wise. But you have a picture

342
00:20:34,119 --> 00:20:37,000
Speaker 1: here that that's an extreme case. That's an extreme case.

343
00:20:37,119 --> 00:20:38,560
Speaker 1: That's what I had this. That's what we had this

344
00:20:38,720 --> 00:20:43,440
Speaker 1: youth season. One duck had it? Really Now call Hint

345
00:20:43,640 --> 00:20:48,960
Speaker 1: mentioned to me that he mentioned to be something to

346
00:20:49,000 --> 00:20:52,040
Speaker 1: the effective. I'm not surprised because it's been such a

347
00:20:52,160 --> 00:20:56,280
Speaker 1: warm fall. Does that make any sense to you? I

348
00:20:56,280 --> 00:20:58,240
Speaker 1: have no clue. I don't know enough about it. I

349
00:20:58,280 --> 00:21:00,720
Speaker 1: don't think Jim, I don't either, have ever never heard

350
00:21:00,720 --> 00:21:04,440
Speaker 1: that relationship. We'll give it go go on? Are Is

351
00:21:04,440 --> 00:21:06,000
Speaker 1: that all you're gonna say about that? That's all I

352
00:21:06,000 --> 00:21:07,920
Speaker 1: wanted to talk about. What that was? Just raised that

353
00:21:08,040 --> 00:21:11,520
Speaker 1: point that nothing's gonna happen to you. It's just it's unsightly.

354
00:21:11,600 --> 00:21:14,439
Speaker 1: But there's no thing that says you're gonna wind up

355
00:21:14,440 --> 00:21:18,000
Speaker 1: with a deadly parasite. Now. Now, yeah, jack rabbits in

356
00:21:18,040 --> 00:21:20,840
Speaker 1: southern Arizona have have taper rom larva, and that it's

357
00:21:20,880 --> 00:21:22,560
Speaker 1: not the kind of tape f rom they can affect human.

358
00:21:22,640 --> 00:21:25,359
Speaker 1: So you can technically, as long as you cook a

359
00:21:25,400 --> 00:21:27,200
Speaker 1: good you can eat it, and we do. If there's

360
00:21:27,200 --> 00:21:28,879
Speaker 1: a few tape room here and there, we still keep

361
00:21:28,920 --> 00:21:31,320
Speaker 1: all the meat. But sometimes you get one that's just loaded,

362
00:21:32,280 --> 00:21:35,680
Speaker 1: and that one we let the kyot tab. Do you know, hum,

363
00:21:36,840 --> 00:21:40,560
Speaker 1: I have a new doctor, the world's greatest doctor. Her

364
00:21:40,640 --> 00:21:45,119
Speaker 1: name is Katie m Yanni's doctor too. I just found out. Yeah,

365
00:21:45,119 --> 00:21:48,600
Speaker 1: she's so tight lipped. She is. She's so tight lipped.

366
00:21:48,600 --> 00:21:51,080
Speaker 1: She didn't tell me she was Yanni's doctor. Well I don't.

367
00:21:51,200 --> 00:21:54,240
Speaker 1: I think there's some laws about that. Well, she sticks

368
00:21:54,280 --> 00:21:57,439
Speaker 1: to him. I found out from Yanni was his doctor

369
00:21:57,600 --> 00:22:01,240
Speaker 1: because I'm down there breaking a thing. I'm down there

370
00:22:01,240 --> 00:22:03,919
Speaker 1: telling her about me and Yanni and the trickonosis situation.

371
00:22:04,359 --> 00:22:06,280
Speaker 1: And she's not like, oh, yeah, that's my patient. He

372
00:22:06,320 --> 00:22:10,199
Speaker 1: told me that too. She played totally dumb. But now

373
00:22:10,320 --> 00:22:11,760
Speaker 1: sarr In they and he's like, that's my doctor. I

374
00:22:11,840 --> 00:22:15,879
Speaker 1: told her about that, so impress. Anyways, she's getting this

375
00:22:15,920 --> 00:22:20,840
Speaker 1: whole thing rolling too. She's helping us pursue this biopsy

376
00:22:21,359 --> 00:22:25,480
Speaker 1: in state in state m HM, to get the deep

377
00:22:25,560 --> 00:22:30,439
Speaker 1: muscle biopsy and our biceps to find those little larva's

378
00:22:30,480 --> 00:22:34,359
Speaker 1: in there. I have some more info for you about that. Well,

379
00:22:34,400 --> 00:22:36,920
Speaker 1: I need to connect you with my uh doctor. She'll

380
00:22:36,920 --> 00:22:43,840
Speaker 1: probably play dumb with you. Is the is it um

381
00:22:44,760 --> 00:22:51,080
Speaker 1: is her last initial in the second half of the alphabet.

382
00:22:51,800 --> 00:22:57,880
Speaker 1: You can say her name, do it again, Oh that's

383
00:22:57,880 --> 00:23:04,959
Speaker 1: your doctor. Yeah, world's greatest doctor. Uh okay, go launch on. Okay.

384
00:23:05,000 --> 00:23:08,040
Speaker 1: So the like the waterfowl topic I wanted to really

385
00:23:08,040 --> 00:23:13,119
Speaker 1: talk about today was specific to this year, which is

386
00:23:13,400 --> 00:23:16,840
Speaker 1: the crazy weather we've been having and how it affects

387
00:23:16,840 --> 00:23:23,159
Speaker 1: waterfowl specifically, like um, two things, one being the drought

388
00:23:23,240 --> 00:23:28,080
Speaker 1: that's been pervasive across the country, especially the west. Um,

389
00:23:28,200 --> 00:23:32,879
Speaker 1: and to just how mild it's been. But first and

390
00:23:32,960 --> 00:23:37,160
Speaker 1: foremost was last winter, well last fall winter and into

391
00:23:37,160 --> 00:23:40,280
Speaker 1: the spring was about as dry as you could ever

392
00:23:40,320 --> 00:23:43,359
Speaker 1: ask for in the Dakotas and Saskatchewan, which is where

393
00:23:43,800 --> 00:23:49,480
Speaker 1: most the continents waterfowl nest um prairie pothole region. North

394
00:23:49,560 --> 00:23:54,480
Speaker 1: Dakota was down on their pond counts in May. Are

395
00:23:54,520 --> 00:23:59,800
Speaker 1: you serious? Yeah? Sixty seven percent below the long term average,

396
00:24:00,040 --> 00:24:04,080
Speaker 1: which you can only imagine how many fewer ducks at

397
00:24:04,119 --> 00:24:08,920
Speaker 1: least you've gotta be kidding. Pond countdown, poncomp meeting someone

398
00:24:09,000 --> 00:24:13,159
Speaker 1: counting baby do like no so um, sorry, not the

399
00:24:13,200 --> 00:24:18,120
Speaker 1: actual counting of ducks, but the physical ponds like spots

400
00:24:18,160 --> 00:24:21,879
Speaker 1: for them nest on reduction. And yeah, so if there

401
00:24:21,920 --> 00:24:25,080
Speaker 1: was a hundred times last year, now there's twenty or whatever.

402
00:24:25,280 --> 00:24:29,000
Speaker 1: No ship So we don't know that that will correlate.

403
00:24:29,560 --> 00:24:32,119
Speaker 1: I mean, we obvious obviously it's not good, But you

404
00:24:32,160 --> 00:24:36,720
Speaker 1: don't know that that means necessarily a reduction in ducks

405
00:24:36,760 --> 00:24:39,119
Speaker 1: because there could be some buffering of some sort. But

406
00:24:39,200 --> 00:24:41,480
Speaker 1: we know it, I mean, we know there's the relationship

407
00:24:41,520 --> 00:24:44,840
Speaker 1: of that it hurts the duck population in addition to that,

408
00:24:44,920 --> 00:24:48,480
Speaker 1: which um, luckily we have like long term harvest data

409
00:24:48,600 --> 00:24:55,199
Speaker 1: and like adaptive management, but we also like don't we

410
00:24:55,240 --> 00:24:58,520
Speaker 1: didn't have counts from Canada because of COVID, so we're

411
00:24:58,600 --> 00:25:00,760
Speaker 1: kind of a little blind right now on like what

412
00:25:00,800 --> 00:25:05,040
Speaker 1: the duck duck population might be with this drought. To

413
00:25:05,119 --> 00:25:09,840
Speaker 1: go like a little more into how severe the drought was, Bismarck,

414
00:25:09,880 --> 00:25:14,919
Speaker 1: North Dakota recorded their third driest year on record, only

415
00:25:14,960 --> 00:25:19,600
Speaker 1: preceded by dust bowl years, which I mean, that's that's

416
00:25:19,600 --> 00:25:23,639
Speaker 1: pretty extreme. Well, anyway, what all this comes back to

417
00:25:23,800 --> 00:25:27,720
Speaker 1: is like we know, just based on the pond counts

418
00:25:27,760 --> 00:25:32,520
Speaker 1: and the water situation, that we have less ducks going

419
00:25:32,560 --> 00:25:35,240
Speaker 1: into fall this year. We don't know exactly what that

420
00:25:35,320 --> 00:25:37,800
Speaker 1: number looks like because we didn't get a waterfowl count,

421
00:25:37,960 --> 00:25:40,760
Speaker 1: but we had less ducks going into the fall. And

422
00:25:40,800 --> 00:25:45,480
Speaker 1: then in addition to that, we have like undeniable warming.

423
00:25:45,840 --> 00:25:51,199
Speaker 1: We have just so much warmer falls. Last fall November

424
00:25:52,080 --> 00:25:57,320
Speaker 1: was the warmest November on record ever. Um this November

425
00:25:57,440 --> 00:26:00,439
Speaker 1: was the seventh warmest November on record in the United States,

426
00:26:01,480 --> 00:26:05,600
Speaker 1: and it was also like the eighth driest was the

427
00:26:05,680 --> 00:26:08,520
Speaker 1: average war like averaged out to be the warmest Norman's

428
00:26:08,560 --> 00:26:14,399
Speaker 1: November on record. Yeah, and so what this like, what

429
00:26:14,520 --> 00:26:18,800
Speaker 1: this eventually leads to is just this later shift in

430
00:26:18,840 --> 00:26:23,240
Speaker 1: the waterfowl migration. And you have and there's several factors

431
00:26:23,320 --> 00:26:27,440
Speaker 1: that I'll discuss as I like keep coming on, because

432
00:26:27,480 --> 00:26:30,920
Speaker 1: there's it's a very complicated issue. It's beyond just whether

433
00:26:30,960 --> 00:26:34,280
Speaker 1: it's beyond just drought. It has to do with agriculture,

434
00:26:34,280 --> 00:26:38,000
Speaker 1: it has to do with urbanization. Like, there's so many factors,

435
00:26:38,040 --> 00:26:40,720
Speaker 1: but one of them that this year is so undeniable

436
00:26:41,200 --> 00:26:45,040
Speaker 1: is like the weather, the climate has changed and the

437
00:26:45,160 --> 00:26:49,600
Speaker 1: ducks are moving south later. And there's a lot of

438
00:26:49,600 --> 00:26:52,560
Speaker 1: frustrated people so far this season. For sure, it's been

439
00:26:52,600 --> 00:26:54,280
Speaker 1: a hard duck season for a lot of people. You

440
00:26:54,359 --> 00:26:58,679
Speaker 1: pointed out that Minnesota just had their um first recorded

441
00:26:58,720 --> 00:27:03,800
Speaker 1: December tornado. Yeah, I mean talking about tornadoes in Minnesota.

442
00:27:04,040 --> 00:27:10,480
Speaker 1: What was December wild mm hmm, yeah. I was in

443
00:27:10,520 --> 00:27:13,000
Speaker 1: South Texas last week for my son's graduation to get

444
00:27:13,080 --> 00:27:15,240
Speaker 1: a PhD in wildlife. We went down there to see

445
00:27:15,280 --> 00:27:19,080
Speaker 1: him walk shout out to Levi ninety degrees for the

446
00:27:19,080 --> 00:27:26,639
Speaker 1: commencement December, and it just like leaves water, you know,

447
00:27:27,600 --> 00:27:31,800
Speaker 1: the waterfowl hunters in the North, Like the data shows

448
00:27:31,920 --> 00:27:36,920
Speaker 1: that there duck hunting success doesn't necessarily get affected by

449
00:27:37,119 --> 00:27:42,920
Speaker 1: weather changes because inevitably, like hunters in North Dakota, South Dakota, Minnesota, Wisconsin,

450
00:27:42,960 --> 00:27:45,600
Speaker 1: they already have the birds. The birds are nesting there

451
00:27:45,720 --> 00:27:48,760
Speaker 1: or like they're the birds never don't come that far south.

452
00:27:48,840 --> 00:27:53,240
Speaker 1: They always at least get that far. But um, there's

453
00:27:53,520 --> 00:27:57,480
Speaker 1: quite a bit of data and and like a correlation

454
00:27:57,720 --> 00:28:03,560
Speaker 1: of the the lower the pond counts and the warmer

455
00:28:03,680 --> 00:28:08,160
Speaker 1: the year, like just obviously I mean anecdotally but also

456
00:28:08,720 --> 00:28:12,159
Speaker 1: scientifically makes sense. The South struggles they don't kill as

457
00:28:12,160 --> 00:28:16,560
Speaker 1: many ducks, didn't you last wasn't last year one of

458
00:28:16,560 --> 00:28:20,119
Speaker 1: the highest? Um, I guess I would call it pond counts,

459
00:28:20,160 --> 00:28:22,119
Speaker 1: But there was a lot of water in the Dakotas

460
00:28:22,240 --> 00:28:24,520
Speaker 1: as two years ago. And we're going through some just

461
00:28:24,720 --> 00:28:31,119
Speaker 1: wild fluctuations, flood drought, flood drought. And it's because it

462
00:28:31,160 --> 00:28:33,280
Speaker 1: was only I would I would say it was probably

463
00:28:33,280 --> 00:28:35,280
Speaker 1: four or five years ago we were at the highest

464
00:28:35,720 --> 00:28:40,880
Speaker 1: duck count ever. Oh really, and then now we're on

465
00:28:40,920 --> 00:28:45,520
Speaker 1: a real slide. Highest duck count or highest pond duck

466
00:28:45,600 --> 00:28:48,120
Speaker 1: count just five years. The reason we don't have duck

467
00:28:48,200 --> 00:28:51,560
Speaker 1: counts the last two years is COVID. Hey, guy, I

468
00:28:51,560 --> 00:28:54,200
Speaker 1: put in a request for the next first songs for

469
00:28:54,240 --> 00:28:57,600
Speaker 1: the next John's Duck Report or whenever sometime in the future,

470
00:28:58,160 --> 00:29:02,840
Speaker 1: can you do a duck report on age demographics? Oh

471
00:29:02,920 --> 00:29:05,400
Speaker 1: of duck hunters or no, no, no, I don't care

472
00:29:05,400 --> 00:29:09,560
Speaker 1: about that. Of the ducks. Ducks. Maybe age demographic of

473
00:29:09,640 --> 00:29:13,360
Speaker 1: ducks old asked ducks, We shot a duck or not

474
00:29:13,440 --> 00:29:16,520
Speaker 1: a duck? Sorry, but you throw this into it water

475
00:29:16,600 --> 00:29:22,719
Speaker 1: like age demographics on waterfowl. Okay, uh. Did you hear

476
00:29:22,720 --> 00:29:24,400
Speaker 1: about when we called in a sandhill? We had a

477
00:29:24,400 --> 00:29:28,800
Speaker 1: sandhill crane. It was banded seventeen years prior in Fairbanks, Alaska.

478
00:29:28,840 --> 00:29:33,360
Speaker 1: We killed in Texas. Yeah, that's so crazy. My exaggerating.

479
00:29:33,360 --> 00:29:35,480
Speaker 1: I think that No, no, no, that's not exaggerating. I

480
00:29:35,480 --> 00:29:38,160
Speaker 1: think it was seventeen, when I was guiding snow goose hunce,

481
00:29:38,200 --> 00:29:40,040
Speaker 1: we had an eighteen year old snow goose that was

482
00:29:40,080 --> 00:29:42,640
Speaker 1: banded as an adult. Yeah, this was banded as an adult.

483
00:29:42,760 --> 00:29:44,320
Speaker 1: And you know it's funny. I had been to where

484
00:29:44,320 --> 00:29:48,200
Speaker 1: it was banded. I like when that happens. We Uh,

485
00:29:48,520 --> 00:29:51,520
Speaker 1: we shot a duck in Oklahoma that was banded where

486
00:29:51,520 --> 00:29:55,800
Speaker 1: I live in South Dakota, Oklahoma, to kill a duck

487
00:29:55,880 --> 00:30:00,720
Speaker 1: that was where we were. Uh. Any harvest data coming

488
00:30:00,720 --> 00:30:02,200
Speaker 1: in on ducks from this year? Is it a low duck?

489
00:30:02,280 --> 00:30:03,640
Speaker 1: Is it a low duck here? Is it a good

490
00:30:03,720 --> 00:30:06,480
Speaker 1: duck here? It's it's a bad duck here. I mean,

491
00:30:06,560 --> 00:30:10,520
Speaker 1: I haven't seen any actual harvest data, but I can't

492
00:30:10,520 --> 00:30:12,520
Speaker 1: imagine it's going to be good. It was five years ago,

493
00:30:12,560 --> 00:30:16,120
Speaker 1: a good duck here. Yeah, we're on a we're just

494
00:30:16,240 --> 00:30:20,080
Speaker 1: in general, on a downhill trend of like overall hunter

495
00:30:20,200 --> 00:30:23,000
Speaker 1: success anyway. And that's kind of what I want to

496
00:30:23,040 --> 00:30:28,040
Speaker 1: discuss in future duct reports, is all the different factors

497
00:30:28,120 --> 00:30:34,200
Speaker 1: that are affecting that really, because it's not just as

498
00:30:34,200 --> 00:30:37,800
Speaker 1: simple as like there's less ducks and it's too warm.

499
00:30:38,080 --> 00:30:40,800
Speaker 1: It's it gets way more complicated than that. When you

500
00:30:40,840 --> 00:30:46,880
Speaker 1: start talking about like crop distribution and even stuff like

501
00:30:47,080 --> 00:30:53,440
Speaker 1: um power plants and industrial plants and urbanization, like all

502
00:30:53,600 --> 00:30:59,280
Speaker 1: that is affecting. But I'll I can't get all into it.

503
00:30:59,320 --> 00:31:02,560
Speaker 1: We'll be here for hours. But there's there's a lot

504
00:31:02,640 --> 00:31:07,640
Speaker 1: of factors leading to lower hunter success on ducks. But

505
00:31:07,680 --> 00:31:12,440
Speaker 1: then you look at like sandhill cranes, snow geese, geese. Yeah,

506
00:31:12,480 --> 00:31:15,600
Speaker 1: like speckle bellies are booming right now, speckle bellies are

507
00:31:16,280 --> 00:31:19,960
Speaker 1: I think anecdotally, I think twenty years from now, we'll

508
00:31:20,000 --> 00:31:22,040
Speaker 1: be looking at speckle bellies the same way we look

509
00:31:22,040 --> 00:31:27,280
Speaker 1: at snow geese now of like just unbelievable population growth.

510
00:31:29,160 --> 00:31:32,200
Speaker 1: But ducks are not in the same not in the

511
00:31:32,240 --> 00:31:36,800
Speaker 1: same ballpark at all. And it really comes back to

512
00:31:36,840 --> 00:31:39,840
Speaker 1: that prairie poptle region. I mean, that is it. It's

513
00:31:40,920 --> 00:31:46,040
Speaker 1: up to the continents nesting ducks. So if the Dakotas

514
00:31:46,080 --> 00:31:49,120
Speaker 1: in Saskatchewan are in a drought, you just don't have ducks.

515
00:31:49,720 --> 00:31:52,920
Speaker 1: Got m hm. I feel like a lot of folks

516
00:31:52,960 --> 00:31:55,000
Speaker 1: will listen to what Sean just said and be like,

517
00:31:55,040 --> 00:31:58,640
Speaker 1: I fucking told you this year sucks. Yeah, it's not

518
00:31:58,840 --> 00:32:03,240
Speaker 1: us ducks. There's a like there's a certain element to

519
00:32:03,360 --> 00:32:08,920
Speaker 1: it for sure, that like it's just, um, it's cyclical,

520
00:32:09,680 --> 00:32:14,959
Speaker 1: just like any population of animals, and ducks are probably

521
00:32:14,960 --> 00:32:19,680
Speaker 1: even more so than a lot of animals. You can't

522
00:32:19,760 --> 00:32:22,120
Speaker 1: change what the jet stream is doing, or you know,

523
00:32:22,160 --> 00:32:25,680
Speaker 1: what rain does or what snow does. Yeah. Yeah, I

524
00:32:25,720 --> 00:32:27,960
Speaker 1: think that's an interesting point because I feel like with

525
00:32:28,160 --> 00:32:30,640
Speaker 1: big game animals, we have a tendency to blame it

526
00:32:30,720 --> 00:32:39,160
Speaker 1: on our own behavior to some degree predator management. Yeah,

527
00:32:39,240 --> 00:32:43,040
Speaker 1: And with waterfowl, it's more of this mystique of like,

528
00:32:43,280 --> 00:32:45,600
Speaker 1: I don't get it, but I'm not seeing as many ducks.

529
00:32:45,840 --> 00:32:47,200
Speaker 1: I don't know if it's me. I don't know if

530
00:32:47,200 --> 00:32:49,120
Speaker 1: it's the blind I'm hunting in. I don't know if

531
00:32:49,160 --> 00:32:53,880
Speaker 1: it's you know, but he's calling. But it happening this year,

532
00:32:53,920 --> 00:32:57,320
Speaker 1: and we can't blame it on ourselves as easily, so

533
00:32:57,480 --> 00:33:02,320
Speaker 1: it becomes less. Yeah, less are well, And I think, um,

534
00:33:02,360 --> 00:33:05,240
Speaker 1: you know, we could end up with a snowy winner

535
00:33:05,760 --> 00:33:08,440
Speaker 1: and by next spring be back into the you know,

536
00:33:08,480 --> 00:33:11,760
Speaker 1: back into the game, like have all all sorts of ponds.

537
00:33:12,240 --> 00:33:16,640
Speaker 1: It's that's all it is. You guys just gotta deal

538
00:33:16,680 --> 00:33:19,200
Speaker 1: with it, get used to it, find ways to be

539
00:33:19,280 --> 00:33:24,040
Speaker 1: successful anyway. Yeah, and and just like be willing to

540
00:33:24,040 --> 00:33:27,480
Speaker 1: adjust the conditions and go different places or like you know,

541
00:33:27,600 --> 00:33:30,240
Speaker 1: not sit on the same pond every day expecting that

542
00:33:30,320 --> 00:33:33,600
Speaker 1: like you know that all of a sudden, the ducks

543
00:33:33,600 --> 00:33:35,920
Speaker 1: are just gonna appear, Like sometimes you're just gonna have

544
00:33:36,000 --> 00:33:41,240
Speaker 1: to go out and search for those like yeah, okay,

545
00:33:41,240 --> 00:33:44,320
Speaker 1: there's gonna be fewer ducks, but you still gotta just,

546
00:33:44,400 --> 00:33:46,760
Speaker 1: like anything, you gotta go find them. Remember the late

547
00:33:46,840 --> 00:33:49,920
Speaker 1: nineties when everyone was you know, all of a sudden,

548
00:33:49,920 --> 00:33:52,200
Speaker 1: you can hunt geese and like we're all getting like

549
00:33:52,200 --> 00:33:56,080
Speaker 1: bit by mosquitoes hunting geese in the late summer. Is

550
00:33:56,120 --> 00:33:59,400
Speaker 1: that still going on? Yeah? South Dakota and North Dakota

551
00:33:59,480 --> 00:34:02,040
Speaker 1: still have an August goose season because then you get

552
00:34:02,080 --> 00:34:05,480
Speaker 1: like in the in the East, like that goose flyaway

553
00:34:05,520 --> 00:34:07,680
Speaker 1: is kind of screwed right now. Yeah, they're they're down there,

554
00:34:07,760 --> 00:34:10,320
Speaker 1: I think one a day. But then like golf course

555
00:34:10,480 --> 00:34:13,720
Speaker 1: golf course geese in the Midwest. What's the difference between

556
00:34:13,719 --> 00:34:15,320
Speaker 1: those two things? Like you could do that now or

557
00:34:15,360 --> 00:34:17,120
Speaker 1: you can make that a show. And that's that's uh.

558
00:34:17,360 --> 00:34:21,520
Speaker 1: I think that comes back to the urbanization conversation that

559
00:34:21,600 --> 00:34:25,719
Speaker 1: we got there, they're like a winner. Yeah, like to

560
00:34:25,920 --> 00:34:28,759
Speaker 1: some level, Like well, of course Canada geese have one

561
00:34:28,960 --> 00:34:35,760
Speaker 1: with urbanization, but also somewhat mallards, right, maybe not population wide,

562
00:34:35,920 --> 00:34:40,080
Speaker 1: but like mallards have definitely adapted to urbanization way better

563
00:34:40,120 --> 00:34:42,799
Speaker 1: than any other duck. Friends of mine and Fairbanks were

564
00:34:42,800 --> 00:34:46,560
Speaker 1: saying that they've got mallards on the university on the

565
00:34:46,600 --> 00:34:50,880
Speaker 1: campus an Anchorage and Fairbanks they got mallards that have

566
00:34:50,880 --> 00:34:54,560
Speaker 1: found a way to overwinter. Yeah, that's great. And he

567
00:34:54,600 --> 00:34:57,920
Speaker 1: said they just get fat and lazy and overwinter in

568
00:34:57,960 --> 00:35:01,120
Speaker 1: these sort of like populated areas with bubblers and stuff,

569
00:35:01,160 --> 00:35:03,200
Speaker 1: you know. And he said, and then he's ducks show

570
00:35:03,280 --> 00:35:06,040
Speaker 1: up in the spring, migrators and it's some like haggard

571
00:35:06,120 --> 00:35:09,279
Speaker 1: mail that's been like starving to death flying back home.

572
00:35:09,440 --> 00:35:10,960
Speaker 1: And he said, those big fat ones come up and

573
00:35:11,000 --> 00:35:12,520
Speaker 1: be like I'll take it. I'll take her from your

574
00:35:12,560 --> 00:35:17,400
Speaker 1: boys like that has been biding their time. You know. Yeah,

575
00:35:17,480 --> 00:35:20,959
Speaker 1: this is this is definitely uh like put a tab

576
00:35:21,040 --> 00:35:24,160
Speaker 1: on this because we're gonna keep talking about this. There's

577
00:35:24,200 --> 00:35:31,200
Speaker 1: there's some interesting studies and just conversations around the urbanization stuff,

578
00:35:31,239 --> 00:35:35,080
Speaker 1: so we'll cover that another time, for sure, got it, Okay, Ross,

579
00:35:35,080 --> 00:35:39,160
Speaker 1: you ready, let's do it. I think so. Yeah, so

580
00:35:39,200 --> 00:35:43,480
Speaker 1: you run the program at First Light. You're a duck enthusiast. Yeah,

581
00:35:43,600 --> 00:35:45,520
Speaker 1: I appreciate that. Earlier I was saying that Ross is

582
00:35:45,560 --> 00:35:47,759
Speaker 1: a big time duck hunter, and Ross contested to say

583
00:35:47,760 --> 00:35:51,759
Speaker 1: he's a long time duck hunter. Yeah. I mean at

584
00:35:51,760 --> 00:35:54,959
Speaker 1: one point, uh, Steve and I and I think Dan

585
00:35:55,040 --> 00:35:58,800
Speaker 1: had a conversation about the intersection of passion and talent

586
00:35:58,920 --> 00:36:02,439
Speaker 1: and how this sometimes there isn't said intersection. I feel

587
00:36:02,480 --> 00:36:04,920
Speaker 1: like that's my case. Like I'm a passionate water fowler.

588
00:36:04,960 --> 00:36:07,879
Speaker 1: I don't know that I'm particularly talented at it, but

589
00:36:08,200 --> 00:36:10,520
Speaker 1: I've been doing it a long time. Definitely probably spent

590
00:36:10,600 --> 00:36:13,320
Speaker 1: more time in the duck blind than any other pursuit

591
00:36:13,360 --> 00:36:16,040
Speaker 1: that I have. Uh so it's spent a lot of

592
00:36:16,040 --> 00:36:20,200
Speaker 1: time sitting so he Uh but First Light is coming

593
00:36:20,200 --> 00:36:22,120
Speaker 1: out with the waterfowl line, are you kind of like

594
00:36:22,400 --> 00:36:26,359
Speaker 1: in your hair, like yes, finally, dude. Yeah, So it's

595
00:36:26,360 --> 00:36:29,520
Speaker 1: a long long time coming. I mean we've been talking

596
00:36:29,560 --> 00:36:31,160
Speaker 1: about it as far as I know for at least

597
00:36:31,200 --> 00:36:35,480
Speaker 1: eight years. Uh. Waterfowl has always been like the denominator

598
00:36:35,520 --> 00:36:38,640
Speaker 1: in the office that we just haven't gone after even

599
00:36:38,640 --> 00:36:41,759
Speaker 1: though like everybody does it more people we always do

600
00:36:41,840 --> 00:36:44,359
Speaker 1: this kind of nerdy math, but we definitely spend more

601
00:36:44,440 --> 00:36:47,200
Speaker 1: time collectively water fowling across the office and any other

602
00:36:47,280 --> 00:36:51,680
Speaker 1: individual pursuit. So it's always been there, I mean shift,

603
00:36:51,760 --> 00:36:56,799
Speaker 1: I've met Cal well before our first light. So back

604
00:36:56,840 --> 00:36:58,239
Speaker 1: in the day, right like when you used to go

605
00:36:58,280 --> 00:37:01,040
Speaker 1: to your waterfowl zone and put in the boat launch

606
00:37:01,080 --> 00:37:03,799
Speaker 1: and you knew everybody there because people weren't doing it yet,

607
00:37:04,400 --> 00:37:06,120
Speaker 1: and it was like a community. And he knew he

608
00:37:06,200 --> 00:37:07,680
Speaker 1: saw so, and so was rig and you're like, oh,

609
00:37:07,719 --> 00:37:09,360
Speaker 1: he's here, and you knew where he hunted and stuff.

610
00:37:09,400 --> 00:37:11,840
Speaker 1: So my buddy Robbie's out there and I motor up

611
00:37:11,840 --> 00:37:13,160
Speaker 1: to him because I know what blind he's going to

612
00:37:13,239 --> 00:37:17,919
Speaker 1: be in. And this was probably two thousand two, um,

613
00:37:18,040 --> 00:37:20,200
Speaker 1: And I motor up there and Robbie is sitting in

614
00:37:20,239 --> 00:37:23,040
Speaker 1: the blind and he's got this kid with him with

615
00:37:23,080 --> 00:37:28,439
Speaker 1: a big gas video camera and he's like, yeah, I'm

616
00:37:28,480 --> 00:37:30,680
Speaker 1: you know, I'm gonna make some DVDs or something and

617
00:37:30,680 --> 00:37:34,520
Speaker 1: and this is my friend Ran from Montana. He's out

618
00:37:34,560 --> 00:37:40,239
Speaker 1: here filming and I remember this. I can't remember like

619
00:37:40,320 --> 00:37:42,959
Speaker 1: where my keys are right now, but I remember Cal

620
00:37:43,080 --> 00:37:46,239
Speaker 1: had you know, like the bomber hat on. And I

621
00:37:46,239 --> 00:37:49,160
Speaker 1: mean I don't know exactly how old Cal is. I

622
00:37:49,160 --> 00:37:51,560
Speaker 1: don't think anybody does. But he was like born with

623
00:37:51,600 --> 00:37:54,600
Speaker 1: that mustache, right yeah, Like I think he was twelve,

624
00:37:54,640 --> 00:37:58,120
Speaker 1: and he had a pretty thick room going there. No,

625
00:37:58,239 --> 00:38:01,560
Speaker 1: I just remember this, and um, you know, I think

626
00:38:01,600 --> 00:38:04,960
Speaker 1: I was let's see, roughly twenty two, so Cal was

627
00:38:05,040 --> 00:38:07,360
Speaker 1: approximately you know, he's in high school, was my guess,

628
00:38:07,360 --> 00:38:10,439
Speaker 1: are right around there? Uh, And that's how we met,

629
00:38:10,680 --> 00:38:13,360
Speaker 1: like and then we didn't see each other for whatever

630
00:38:13,400 --> 00:38:16,320
Speaker 1: another eight years or something until I went to First Light. Um,

631
00:38:16,360 --> 00:38:18,319
Speaker 1: and Cal was the only employee at that point. I

632
00:38:18,360 --> 00:38:23,640
Speaker 1: was second employee. So there's always been this like backstory.

633
00:38:23,840 --> 00:38:26,360
Speaker 1: I actually used to waterfowl with Scott, one of the founders,

634
00:38:26,360 --> 00:38:28,279
Speaker 1: and Kent and the other founder well before as the

635
00:38:28,320 --> 00:38:30,200
Speaker 1: first light, before first Light was around, and then we

636
00:38:30,239 --> 00:38:32,640
Speaker 1: started hiring people. And the cool thing about waterfowl is

637
00:38:32,680 --> 00:38:36,000
Speaker 1: as we'd hire people from, whether it was Inner Mountain

638
00:38:36,000 --> 00:38:40,239
Speaker 1: West or Maryland, waterfowl is a denominator, right, like you're

639
00:38:40,239 --> 00:38:44,080
Speaker 1: not speaking the language of white tail versus Western everybody.

640
00:38:44,160 --> 00:38:48,759
Speaker 1: Waterfowl goose hunted duck hunted whatever. Um So point being,

641
00:38:49,280 --> 00:38:51,440
Speaker 1: it's been in our blood for a long time. We've

642
00:38:51,480 --> 00:38:54,920
Speaker 1: talked about it a long time, and yeah, to your question,

643
00:38:55,080 --> 00:38:58,279
Speaker 1: I am definitely really excited to finally get there. I

644
00:38:58,320 --> 00:39:01,520
Speaker 1: feel like we've been penciling at out and noodling on

645
00:39:01,560 --> 00:39:03,120
Speaker 1: it for eight years and we finally get to bring

646
00:39:03,120 --> 00:39:06,560
Speaker 1: it to the table. So pretty excited. Tell people right

647
00:39:06,600 --> 00:39:09,640
Speaker 1: now what tyfa means. Oh boy, that's gonna be one

648
00:39:09,640 --> 00:39:12,360
Speaker 1: of the ones that people like. Yeah, tyfa is a

649
00:39:12,400 --> 00:39:17,480
Speaker 1: great word. Yeah, it's the genus that like cattail belongs to.

650
00:39:17,800 --> 00:39:21,800
Speaker 1: So all of that sort of marshy uh foliage falls

651
00:39:21,880 --> 00:39:25,760
Speaker 1: under that sort of cattle or under that category or genus.

652
00:39:25,800 --> 00:39:34,040
Speaker 1: I guess you buy that helpful finger to clarify, Yeah, yeah,

653
00:39:35,000 --> 00:39:43,080
Speaker 1: has gollish well to clarify, type is the name of

654
00:39:43,120 --> 00:39:46,160
Speaker 1: our new waterfowl pattern. I was good, I was getting there.

655
00:39:46,280 --> 00:39:50,120
Speaker 1: That'll leave that all. Yeah, well sorry, yeah, a salid question,

656
00:39:50,960 --> 00:39:54,799
Speaker 1: but yeah, it kind of encompasses that full marshy atmosphere

657
00:39:54,800 --> 00:39:58,719
Speaker 1: that we developed this pattern to use specifically for. But yeah,

658
00:39:58,800 --> 00:40:01,759
Speaker 1: so decides it being in our DNA. The other thing

659
00:40:01,760 --> 00:40:03,160
Speaker 1: that we are looking at for the last eight years,

660
00:40:03,200 --> 00:40:04,880
Speaker 1: we're like, man, what a lot of people don't know

661
00:40:05,040 --> 00:40:07,520
Speaker 1: unless they happen to have tried it, is that you know,

662
00:40:07,560 --> 00:40:11,239
Speaker 1: our our foundation for our system is Marino. Marino for

663
00:40:11,280 --> 00:40:14,600
Speaker 1: water fowling is the best goddamn thing to every amazing.

664
00:40:14,840 --> 00:40:18,879
Speaker 1: I mean, when you drop your motion decoy wing into

665
00:40:18,880 --> 00:40:21,400
Speaker 1: the water and you've got to go shoulder deep in

666
00:40:21,440 --> 00:40:23,960
Speaker 1: there and you pull your arm out, and you have

667
00:40:24,000 --> 00:40:27,000
Speaker 1: the property Marino that's warm when wet, and then you

668
00:40:27,080 --> 00:40:29,160
Speaker 1: go home and maybe you know you're hanging out and

669
00:40:29,160 --> 00:40:31,760
Speaker 1: you forget to dry it. The fact that Marino doesn't stink,

670
00:40:31,880 --> 00:40:34,560
Speaker 1: it just all comes together and there's properties and all that.

671
00:40:34,600 --> 00:40:36,719
Speaker 1: So that was kind of a no brainer. UM. And

672
00:40:36,760 --> 00:40:40,600
Speaker 1: then we've spent the last several years developing specific fabric

673
00:40:40,640 --> 00:40:44,920
Speaker 1: packages for waterfowl UM and then really dork ing out

674
00:40:44,960 --> 00:40:47,680
Speaker 1: on a lot of the features that would make our

675
00:40:47,719 --> 00:40:51,799
Speaker 1: product UM smarter and more usable and more friendly so

676
00:40:51,880 --> 00:40:53,440
Speaker 1: that you'd use it and you'd be like, man, I

677
00:40:53,440 --> 00:40:57,400
Speaker 1: can't believe nobody's thought about this feature before now, which,

678
00:40:57,840 --> 00:40:59,759
Speaker 1: to be fair and to be transparent, I feel like

679
00:41:00,000 --> 00:41:04,640
Speaker 1: our foul has long been a forgotten category, and particularly

680
00:41:04,640 --> 00:41:07,320
Speaker 1: an apparel. I could say that probably across the board

681
00:41:07,360 --> 00:41:11,160
Speaker 1: relative to let's say Western big game. I mean, you've

682
00:41:11,200 --> 00:41:13,560
Speaker 1: seen so much innovation in there over the last twenty years,

683
00:41:13,760 --> 00:41:15,560
Speaker 1: and for a variety of reasons. A lot of it

684
00:41:15,560 --> 00:41:19,040
Speaker 1: was driven from mountaineering technology that people would bother borrow

685
00:41:19,160 --> 00:41:23,080
Speaker 1: and then apply to that's good man, and you saw that,

686
00:41:23,120 --> 00:41:26,160
Speaker 1: and you know, they always had like mountain hunting gear,

687
00:41:26,239 --> 00:41:30,720
Speaker 1: always had something to chase which was exactly exactly right,

688
00:41:31,200 --> 00:41:33,560
Speaker 1: and it was very easy for folks to say, hey,

689
00:41:33,600 --> 00:41:35,920
Speaker 1: that's working really well in mountaineering, let's apply that hunting,

690
00:41:36,000 --> 00:41:37,960
Speaker 1: figure out how to put a pattern on it, you know,

691
00:41:38,040 --> 00:41:41,360
Speaker 1: all that sort of stuff. But for whatever reason, probably

692
00:41:41,360 --> 00:41:44,200
Speaker 1: by virtue of you know, honestly, water fowls a smaller market,

693
00:41:44,320 --> 00:41:46,840
Speaker 1: I think it was neglected for a really long time,

694
00:41:47,920 --> 00:41:50,200
Speaker 1: when in fact it's one of the most like from

695
00:41:50,200 --> 00:41:52,560
Speaker 1: a durability standpoint, it's certainly one of the most demanding

696
00:41:52,600 --> 00:41:55,720
Speaker 1: pursuits that we take place. And I mean people view waiters,

697
00:41:55,800 --> 00:41:58,200
Speaker 1: let's be honest, is disposable like if if you can

698
00:41:58,200 --> 00:42:00,799
Speaker 1: get if you're if you're a core water fowler, and

699
00:42:00,800 --> 00:42:02,279
Speaker 1: you can get a year out of one without having

700
00:42:02,280 --> 00:42:04,840
Speaker 1: to warrante it or repair it. You're pretty psyched. You

701
00:42:04,880 --> 00:42:07,640
Speaker 1: just don't expect water fowlers don't expect things to last.

702
00:42:07,920 --> 00:42:10,960
Speaker 1: And we looked at that as you know, like, I

703
00:42:10,960 --> 00:42:14,480
Speaker 1: don't know, the market was the manufacturers are neglecting that market,

704
00:42:14,800 --> 00:42:18,160
Speaker 1: and we wanted to make stuff that was like brickshit

705
00:42:18,239 --> 00:42:22,560
Speaker 1: house tough, smart, and using the same level of innovation

706
00:42:22,640 --> 00:42:24,279
Speaker 1: that we've seen in the Western big game in White

707
00:42:24,280 --> 00:42:26,360
Speaker 1: Tail over the last you know, ten to twenty years

708
00:42:27,080 --> 00:42:31,040
Speaker 1: and you gotta stay dry. Yeah, you know that's such

709
00:42:31,200 --> 00:42:34,280
Speaker 1: It's yeah, it seems so simple, but to have something

710
00:42:34,320 --> 00:42:38,560
Speaker 1: that's light enough to functionally wear and not too bulky

711
00:42:38,560 --> 00:42:40,720
Speaker 1: and thick to where you can actually still shoulder shotgun

712
00:42:40,760 --> 00:42:45,240
Speaker 1: and be functional while also like you gotta be dry.

713
00:42:45,440 --> 00:42:48,000
Speaker 1: When would when when does your average mug be able

714
00:42:48,000 --> 00:42:51,680
Speaker 1: to go out and be like, oh I can buy it. Well,

715
00:42:51,719 --> 00:42:54,480
Speaker 1: the product will come to we'll get inventory of it

716
00:42:54,560 --> 00:42:58,640
Speaker 1: next summer in probably like June July type time, and

717
00:42:59,000 --> 00:43:02,839
Speaker 1: that's when we'll have available for purchase. In the meantime, uh,

718
00:43:02,880 --> 00:43:06,000
Speaker 1: we're gonna start rolling stuff out, some previews and and

719
00:43:06,000 --> 00:43:09,319
Speaker 1: showing what the individual product looks like between now and

720
00:43:09,360 --> 00:43:12,400
Speaker 1: then and really get into you know, all the stuff

721
00:43:12,400 --> 00:43:14,840
Speaker 1: that we think makes it um the best water voiling

722
00:43:14,880 --> 00:43:16,960
Speaker 1: product in the market. I don't want to, I don't

723
00:43:16,960 --> 00:43:19,040
Speaker 1: want to mess your story, but you also are stumbling

724
00:43:19,080 --> 00:43:22,480
Speaker 1: upon the greatest ice fishing line of apparel, and you

725
00:43:22,520 --> 00:43:27,000
Speaker 1: did point that out. I'm not gonna deg that, Like

726
00:43:27,120 --> 00:43:29,160
Speaker 1: what the what you already calling these is, uh, you know,

727
00:43:30,440 --> 00:43:36,719
Speaker 1: ice fishing another neglected market. There you go, Yeah, well

728
00:43:36,760 --> 00:43:39,440
Speaker 1: I was gonna say that, Like on the pattern front,

729
00:43:39,480 --> 00:43:42,440
Speaker 1: That's probably the thing I'm like, I was most excited

730
00:43:42,480 --> 00:43:46,640
Speaker 1: about when I first got to start screwing around with

731
00:43:46,680 --> 00:43:50,160
Speaker 1: this stuff was that, over and over, the problem I've

732
00:43:50,200 --> 00:43:55,839
Speaker 1: had with products for for years is too dark. Like

733
00:43:55,920 --> 00:43:59,000
Speaker 1: when you're out in the marsh and you look at

734
00:43:59,040 --> 00:44:03,480
Speaker 1: guys from a distance, you typically notice they're a black blob,

735
00:44:04,080 --> 00:44:06,640
Speaker 1: like they are darker than you don't realize how light

736
00:44:06,719 --> 00:44:13,000
Speaker 1: that fall dried right other vegetation is, and you know,

737
00:44:13,120 --> 00:44:16,640
Speaker 1: you that's a thing in waterfowl hunting is like cover

738
00:44:16,840 --> 00:44:19,239
Speaker 1: up any black holes, right and you're blind, Like you

739
00:44:19,280 --> 00:44:22,200
Speaker 1: want grass hanging over the top to cover that like

740
00:44:22,320 --> 00:44:25,240
Speaker 1: black hole in the blind or even on a boat,

741
00:44:25,480 --> 00:44:27,960
Speaker 1: like you don't want a dark motor on the back

742
00:44:28,000 --> 00:44:30,000
Speaker 1: showing so you go put a motor cover on it.

743
00:44:30,080 --> 00:44:35,080
Speaker 1: Like that dark black blob, whether in a field or

744
00:44:35,080 --> 00:44:37,799
Speaker 1: in a marsh, is like always a problem and it's

745
00:44:37,800 --> 00:44:42,040
Speaker 1: always what the birds pick out. And usually camo is

746
00:44:42,120 --> 00:44:45,240
Speaker 1: just too dark and at least for the marsh environment,

747
00:44:45,280 --> 00:44:48,960
Speaker 1: for a cornfield environment, because everyone's always trying to create

748
00:44:49,360 --> 00:44:52,799
Speaker 1: a pattern or a camo that like can ride the

749
00:44:52,840 --> 00:44:55,960
Speaker 1: line right of like oh you can wear this in

750
00:44:56,000 --> 00:44:59,480
Speaker 1: the timber of Arkansas or the buckbrush in Missouri, or

751
00:44:59,560 --> 00:45:02,879
Speaker 1: then a cornfield in South Dakota. It's like, well, because

752
00:45:02,880 --> 00:45:07,400
Speaker 1: they're very different, those are very different environments. And Tyfa

753
00:45:07,640 --> 00:45:11,000
Speaker 1: is light. It's like a light color. Some people would

754
00:45:12,200 --> 00:45:15,439
Speaker 1: um like maybe in the South might think it's too

755
00:45:15,480 --> 00:45:17,759
Speaker 1: dark in their environment, and they might be right. But

756
00:45:18,280 --> 00:45:22,200
Speaker 1: as far as like if you hunt anything grassy, anything marshy,

757
00:45:22,719 --> 00:45:26,960
Speaker 1: anything agriculture at all, like it looks so good and

758
00:45:27,040 --> 00:45:29,760
Speaker 1: it's an area where it's just not a debatable point,

759
00:45:29,880 --> 00:45:34,040
Speaker 1: like it's indisputably benefit camel, Like the right camels indisputably

760
00:45:34,080 --> 00:45:36,720
Speaker 1: beneficial when you're hunting ducks, that's like they see ship.

761
00:45:36,960 --> 00:45:40,000
Speaker 1: If there's anything I noticed this year, like me and

762
00:45:40,560 --> 00:45:47,000
Speaker 1: Janice Rana hunt in Nebraska, and I was he was

763
00:45:47,080 --> 00:45:49,520
Speaker 1: kind of like on the edge of the cat tails,

764
00:45:49,520 --> 00:45:51,480
Speaker 1: a little tucked in, but they were like pretty light,

765
00:45:51,560 --> 00:45:53,920
Speaker 1: thin cat tails. And I was out picking up a

766
00:45:53,920 --> 00:45:56,840
Speaker 1: bird looking back at him eighty yards and I was

767
00:45:56,920 --> 00:46:00,239
Speaker 1: like tickled pink that he was just not he was

768
00:46:00,320 --> 00:46:03,799
Speaker 1: not dark. He was the same. You know, it wasn't

769
00:46:03,800 --> 00:46:07,439
Speaker 1: all blacked out. I'm happy to hear that, because over

770
00:46:07,440 --> 00:46:10,160
Speaker 1: the last handful of years, we probably went through fifteen

771
00:46:10,200 --> 00:46:14,400
Speaker 1: iterations and it kept getting lighter and lighter. You know,

772
00:46:14,440 --> 00:46:16,600
Speaker 1: we'd have people folks like Sean, and we'd have guides

773
00:46:16,640 --> 00:46:18,600
Speaker 1: and all this stuff we secretly showed to them and

774
00:46:18,600 --> 00:46:21,440
Speaker 1: they're like lighter, lighter, lighter, And it landed where it

775
00:46:21,480 --> 00:46:24,880
Speaker 1: did with that recognition that I think people have a tendency,

776
00:46:24,920 --> 00:46:27,320
Speaker 1: to Sean's point, to try and find a happy medium,

777
00:46:27,520 --> 00:46:29,960
Speaker 1: and with waterfowl that doesn't work. I mean, you've got

778
00:46:29,960 --> 00:46:32,360
Speaker 1: to be pretty specific. I think, out of all of

779
00:46:32,360 --> 00:46:36,280
Speaker 1: our pursuits, arguably waterfowl and turkey are probably the most discriminate,

780
00:46:36,560 --> 00:46:38,960
Speaker 1: and so we really tried to make something that was

781
00:46:40,160 --> 00:46:46,360
Speaker 1: intentionally specific to this environment as opposed to something that

782
00:46:46,440 --> 00:46:51,279
Speaker 1: could operate in a multitude of of environments. All right,

783
00:46:51,320 --> 00:46:55,160
Speaker 1: so this has you titilated. Uh, go to the meat

784
00:46:55,160 --> 00:46:58,200
Speaker 1: eater dot com slash waterfowl and sign up and you

785
00:46:58,239 --> 00:47:01,200
Speaker 1: stay abreast of all things water file related at meat

786
00:47:01,200 --> 00:47:13,840
Speaker 1: eater again meat eater dot com slash waterfowl. Here's the

787
00:47:13,880 --> 00:47:15,360
Speaker 1: thing Kren and I were fixing to talk about, but

788
00:47:15,400 --> 00:47:19,640
Speaker 1: we're gonna I'm just gonna do it real quick. The

789
00:47:19,680 --> 00:47:22,239
Speaker 1: spring bear hunt in Washington. We've covered this. Everybody in

790
00:47:22,280 --> 00:47:26,480
Speaker 1: the planet the time about this. Yeah, I don't know, yeah,

791
00:47:26,719 --> 00:47:30,279
Speaker 1: everything mean, North Korea is kind of a black hole, dude, Like,

792
00:47:30,360 --> 00:47:33,040
Speaker 1: I don't really know coming out what's coming out of

793
00:47:33,040 --> 00:47:34,680
Speaker 1: North of Korea on this, but most people in the

794
00:47:34,680 --> 00:47:39,160
Speaker 1: world are talking about this Washington, They're they're spring black

795
00:47:39,200 --> 00:47:42,719
Speaker 1: bear season. So like, on hold, it came down to

796
00:47:42,800 --> 00:47:46,759
Speaker 1: this commission vote, and you know where you think of

797
00:47:46,760 --> 00:47:48,919
Speaker 1: a fishing game commission. You think of a fishing game

798
00:47:48,920 --> 00:47:51,880
Speaker 1: commission as being like people who are like predisposed to

799
00:47:51,880 --> 00:47:55,280
Speaker 1: be supportive of hunting and supportive of use of natural

800
00:47:55,320 --> 00:48:02,799
Speaker 1: responsible use of natural resources. Washington ain't okay. It's like

801
00:48:03,120 --> 00:48:06,799
Speaker 1: they've got their governor and you know, I don't know,

802
00:48:06,880 --> 00:48:10,000
Speaker 1: they've had a lot of like very very left wing

803
00:48:10,040 --> 00:48:14,080
Speaker 1: governors for a very long time that have have packed

804
00:48:14,160 --> 00:48:18,520
Speaker 1: the commission full of people who not only are antagonistic.

805
00:48:18,520 --> 00:48:21,560
Speaker 1: They got people on the commission not only antagonist to hunting,

806
00:48:21,760 --> 00:48:25,440
Speaker 1: but like outspoken criticisms of the North American model of

807
00:48:25,480 --> 00:48:30,040
Speaker 1: wildlife conservation. I mean, they had a freaking zookeeper on

808
00:48:30,120 --> 00:48:34,440
Speaker 1: there who just resigned like a zoo. Like when I

809
00:48:34,480 --> 00:48:37,000
Speaker 1: think of a fishing game commissioner, the last thing that

810
00:48:37,040 --> 00:48:39,239
Speaker 1: pops in my mind as a zookeeper. He's like, well,

811
00:48:39,280 --> 00:48:42,600
Speaker 1: what we like to do is we keep in a locate, right, uh,

812
00:48:42,719 --> 00:48:47,800
Speaker 1: that nothing bad can happen to him. Um, this guy resigned,

813
00:48:47,800 --> 00:48:49,440
Speaker 1: But here's what happened in Washington. Try to do this

814
00:48:49,480 --> 00:48:52,719
Speaker 1: as quickly as possible. They're supposed to have nine commissioners,

815
00:48:52,760 --> 00:48:54,640
Speaker 1: like the Supreme Court. Why do you have nine Supreme

816
00:48:54,680 --> 00:48:58,600
Speaker 1: Court justices in case they don't agree, they all vote,

817
00:48:58,680 --> 00:49:01,920
Speaker 1: and just what happens that you're gonna have like the

818
00:49:02,040 --> 00:49:05,560
Speaker 1: right way? They got eight. I don't know. The government

819
00:49:05,600 --> 00:49:07,520
Speaker 1: want to point the ninth one that the ninth one

820
00:49:07,560 --> 00:49:09,440
Speaker 1: is supposed to come from the east part of the state.

821
00:49:09,520 --> 00:49:11,279
Speaker 1: People in the east part of the eastern part of

822
00:49:11,280 --> 00:49:15,200
Speaker 1: Washington tend to be hunt fish friendly right more culturally

823
00:49:15,280 --> 00:49:17,160
Speaker 1: like that, people from the west part of the state

824
00:49:17,239 --> 00:49:20,480
Speaker 1: tend to tend to be I'm speaking tremendous generalizations here.

825
00:49:20,880 --> 00:49:24,520
Speaker 1: There's a greater likelihood they're gonna be antagonistic too, like

826
00:49:24,600 --> 00:49:27,560
Speaker 1: hunting and the like the Cascade Mountain Range kind of

827
00:49:28,200 --> 00:49:31,640
Speaker 1: split there. Uh, they haven't gotten their commissioners, so they

828
00:49:31,680 --> 00:49:34,759
Speaker 1: got these eight people. They get that. It comes to

829
00:49:34,800 --> 00:49:36,719
Speaker 1: a vote whether they have the spring bear season, and

830
00:49:36,800 --> 00:49:40,600
Speaker 1: it falls like four to four vote and instead of

831
00:49:40,640 --> 00:49:42,799
Speaker 1: it being a tie, and that means the bear hunt

832
00:49:42,840 --> 00:49:44,920
Speaker 1: goes on for whatever reason, it's a tie, but the

833
00:49:44,920 --> 00:49:49,600
Speaker 1: bear hunt doesn't go on. Another commissioner resigns. He resigns

834
00:49:49,640 --> 00:49:53,880
Speaker 1: because he's like in the commissioner doghouse somehow the zookeeper.

835
00:49:54,640 --> 00:49:57,719
Speaker 1: Um he uh. So now they got seven and now

836
00:49:57,719 --> 00:50:00,640
Speaker 1: they've got seven commissioners. They got to get all the

837
00:50:00,640 --> 00:50:05,399
Speaker 1: commissioners appointed and then they got to rehash this thing out.

838
00:50:05,920 --> 00:50:08,560
Speaker 1: The tricky part is the Phishing Game Agency. When the

839
00:50:08,560 --> 00:50:10,960
Speaker 1: biologist from the Fishing Game Agency come forward to like,

840
00:50:11,360 --> 00:50:15,600
Speaker 1: bears are doing great in Washington, UM, very strong population.

841
00:50:15,920 --> 00:50:19,560
Speaker 1: We recommend having the limited draw bear hunt as usual.

842
00:50:19,719 --> 00:50:22,600
Speaker 1: That was their recommendation from a biological perspective, and some

843
00:50:22,640 --> 00:50:27,520
Speaker 1: of these commissioners like, it's social not biological. There's like

844
00:50:27,520 --> 00:50:31,719
Speaker 1: a social antagonism to this, and that's the argument they're

845
00:50:31,760 --> 00:50:37,959
Speaker 1: not even debating anymore, like whether it's a sustainable resource. Uh,

846
00:50:38,160 --> 00:50:44,759
Speaker 1: oddly no, I shouldn't say fortuitously. There's a thing where

847
00:50:44,800 --> 00:50:49,200
Speaker 1: you can let the where they like invite input. Washington's

848
00:50:49,280 --> 00:50:53,080
Speaker 1: Fishing Game Commission invites input. You're not being like a

849
00:50:53,080 --> 00:50:57,200
Speaker 1: weird internet troll like they invite input. There's a thing

850
00:50:57,239 --> 00:51:02,080
Speaker 1: called contact the Phish and Wildlife Commission. Go to my instagram,

851
00:51:02,120 --> 00:51:05,880
Speaker 1: scroll back to December twenty and you'll see a picture

852
00:51:05,880 --> 00:51:07,359
Speaker 1: of me doing a grip and grin with a bear

853
00:51:09,200 --> 00:51:11,120
Speaker 1: in there. There's like a link and it's a link

854
00:51:11,160 --> 00:51:16,000
Speaker 1: to how you give the old what for to the commission.

855
00:51:16,000 --> 00:51:19,000
Speaker 1: It's a fill it's a form you fill out and

856
00:51:19,040 --> 00:51:21,200
Speaker 1: they're like sensitive, they look at the form. They're sensitive.

857
00:51:21,239 --> 00:51:22,520
Speaker 1: They want to hear from people. So if you like

858
00:51:22,600 --> 00:51:24,360
Speaker 1: live in particularly if you live at Washington, if you

859
00:51:24,440 --> 00:51:28,759
Speaker 1: hunt Washington, um let him know how you're feeling about this.

860
00:51:30,040 --> 00:51:32,680
Speaker 1: They got a form for you. So like going to

861
00:51:32,880 --> 00:51:35,960
Speaker 1: like my like bio, go to like at Stephen Ronella

862
00:51:36,560 --> 00:51:39,120
Speaker 1: scroll back to you see a dead bear, go to

863
00:51:39,640 --> 00:51:42,359
Speaker 1: the Lincoln bio and then fill out a thing letting

864
00:51:42,400 --> 00:51:46,640
Speaker 1: the Commission know where are your head's at on the

865
00:51:46,640 --> 00:51:50,759
Speaker 1: bear hunt. Think about all that, Doug. I think that

866
00:51:51,160 --> 00:51:54,759
Speaker 1: it's interesting that we have sort of the opposite um

867
00:51:54,800 --> 00:51:57,719
Speaker 1: at least politically situation in Wisconsin, and that we have

868
00:51:57,760 --> 00:52:00,880
Speaker 1: a natural Resources board that's also wanted by the governor.

869
00:52:01,480 --> 00:52:05,479
Speaker 1: But we have one of the board members whose term

870
00:52:05,800 --> 00:52:09,600
Speaker 1: ended in April of last year, who has refused to

871
00:52:09,760 --> 00:52:15,719
Speaker 1: leave the board until the Senate confirms his replacement, which,

872
00:52:15,760 --> 00:52:20,400
Speaker 1: of course the governor put in nominated right away. And

873
00:52:20,600 --> 00:52:26,280
Speaker 1: it's a uh. He was appointed by our previous governor

874
00:52:26,320 --> 00:52:29,760
Speaker 1: who happened to be a Republican, and our current governor

875
00:52:29,760 --> 00:52:33,480
Speaker 1: as a Democrat, and our Senate is controlled by the Republicans,

876
00:52:33,480 --> 00:52:36,880
Speaker 1: so they're just essentially this guy says, well, I'm not

877
00:52:36,960 --> 00:52:42,279
Speaker 1: leaving the board until there's until the new nominee is

878
00:52:43,320 --> 00:52:46,359
Speaker 1: uh confirmed, but they and they won't confirm them. So

879
00:52:46,480 --> 00:52:51,080
Speaker 1: we have this squatter. It's I mean, and it has

880
00:52:51,239 --> 00:52:53,359
Speaker 1: has a huge effect. You think these guys are all

881
00:52:53,400 --> 00:52:56,640
Speaker 1: talking together to make a plan. Oh without a doubt,

882
00:52:57,280 --> 00:53:01,760
Speaker 1: without a doubt. UM. Durkin has written about it extensively. UM.

883
00:53:02,040 --> 00:53:07,880
Speaker 1: And it is affecting UM well, our wolf management, UM,

884
00:53:07,920 --> 00:53:11,759
Speaker 1: it's affecting our deer management UM. And it's just to me,

885
00:53:11,880 --> 00:53:17,680
Speaker 1: it's in both of these cases. It's UH. It's unsettling

886
00:53:17,840 --> 00:53:21,919
Speaker 1: that politics are playing such a heavy role in how

887
00:53:22,000 --> 00:53:25,359
Speaker 1: our natural resources are managed. You're talking about the North

888
00:53:25,360 --> 00:53:31,120
Speaker 1: American model of conservation, science based management UM in Wisconsin

889
00:53:32,040 --> 00:53:35,759
Speaker 1: UM is also being ignored, but it's being ignored by

890
00:53:35,800 --> 00:53:38,279
Speaker 1: the other side because there's a contingent who wants to

891
00:53:39,320 --> 00:53:43,960
Speaker 1: have you know, early, let's have wolf's wolf hunts early

892
00:53:44,040 --> 00:53:46,200
Speaker 1: and often. And the d n R is saying a

893
00:53:46,280 --> 00:53:49,839
Speaker 1: different thing about wolves, not that we shouldn't have wolf hunt,

894
00:53:49,840 --> 00:53:52,080
Speaker 1: not that we shouldn't be managing or anything like that,

895
00:53:53,040 --> 00:53:57,200
Speaker 1: but UM, but but that we we need to have

896
00:53:57,440 --> 00:54:01,160
Speaker 1: a better plan. And and you know this UH law

897
00:54:01,280 --> 00:54:03,640
Speaker 1: was passed again by the legislature and signed by the

898
00:54:03,680 --> 00:54:06,880
Speaker 1: previous governor that says, if there's a wolf hunting is allowed,

899
00:54:06,960 --> 00:54:08,480
Speaker 1: we need to have a wolf hunt during this period

900
00:54:08,520 --> 00:54:10,200
Speaker 1: of time. So last year we rushed one and I

901
00:54:10,200 --> 00:54:12,560
Speaker 1: think you guys talked about the ship show that our

902
00:54:13,120 --> 00:54:16,680
Speaker 1: wolf hunt became and it was because of this rushing

903
00:54:17,080 --> 00:54:19,680
Speaker 1: um forward. Um, I don't have the answer for I

904
00:54:19,719 --> 00:54:23,040
Speaker 1: don't and I'm not in wolf country and I don't

905
00:54:23,080 --> 00:54:24,959
Speaker 1: apply for a wolf tag just because it's not something

906
00:54:25,000 --> 00:54:30,160
Speaker 1: that I'm um uh particularly interested in hunting. But I

907
00:54:30,320 --> 00:54:33,520
Speaker 1: certainly agree that they should be hunted um and managed.

908
00:54:34,040 --> 00:54:37,080
Speaker 1: But how that's done is so important, and um, I'm

909
00:54:37,160 --> 00:54:40,480
Speaker 1: running quite honestly, as we talked about chronic wasting disease

910
00:54:40,480 --> 00:54:43,359
Speaker 1: and endured management, we're running the same thing there. So

911
00:54:43,840 --> 00:54:46,760
Speaker 1: it's interesting that we have the same problem in two states,

912
00:54:46,800 --> 00:54:50,239
Speaker 1: but they seem to be coming from different political standpoints.

913
00:54:50,320 --> 00:54:52,880
Speaker 1: And that's that's why, that's why I'm a proponent of

914
00:54:52,920 --> 00:54:57,359
Speaker 1: creating a third political party. Well, I'm with you, When

915
00:54:57,440 --> 00:55:00,600
Speaker 1: or when are we going to do that? Right now?

916
00:55:01,880 --> 00:55:04,799
Speaker 1: That's happening. Yeah, I think it's just I think it's

917
00:55:04,800 --> 00:55:08,040
Speaker 1: just rehashed Roosevelt's bull Moose Party. I like it. I

918
00:55:08,080 --> 00:55:12,560
Speaker 1: like it a lot. That's a good idea. Halflefinger take

919
00:55:12,600 --> 00:55:16,080
Speaker 1: this one on for me, Jim, which is that it's

920
00:55:16,080 --> 00:55:17,800
Speaker 1: called health Finger's people know what I'm talking about. You

921
00:55:17,800 --> 00:55:20,480
Speaker 1: have an unusual last name, that's true, But Jim halflefinger.

922
00:55:20,480 --> 00:55:24,440
Speaker 1: Take this one on for me. The theory that this

923
00:55:24,560 --> 00:55:29,200
Speaker 1: is a fan favorite. Rattlesnakes don't rattle anymore because people

924
00:55:29,280 --> 00:55:33,160
Speaker 1: killed all the ones at rattle. Yeah, that's a that's

925
00:55:33,160 --> 00:55:35,840
Speaker 1: a common thing people see that general. No, No, you

926
00:55:35,920 --> 00:55:37,759
Speaker 1: never heard that. I mean I've heard that. You've heard

927
00:55:38,400 --> 00:55:40,400
Speaker 1: I've heard it. Yeah, I don't spend a lot of

928
00:55:40,400 --> 00:55:44,799
Speaker 1: time thinking about it. Cal float Cal floated this one right. Yeah.

929
00:55:44,960 --> 00:55:47,640
Speaker 1: It was inspired by his dog and like about killed

930
00:55:47,640 --> 00:55:49,959
Speaker 1: by rattlesnake, the bit it at the base of the ear.

931
00:55:50,520 --> 00:55:51,960
Speaker 1: I actually had. I got a brand new a little

932
00:55:52,040 --> 00:55:53,520
Speaker 1: yellow lap puppy and we had to run in with

933
00:55:53,560 --> 00:55:55,959
Speaker 1: a venomous creature. But two days after she was home

934
00:55:56,239 --> 00:55:58,920
Speaker 1: as an eight week old puppy. She was molding something

935
00:55:59,840 --> 00:56:01,680
Speaker 1: and I came up and I said, what's drop it?

936
00:56:01,719 --> 00:56:04,800
Speaker 1: What he got there? And she flicks off of her tongue.

937
00:56:05,360 --> 00:56:07,920
Speaker 1: Black widdle, A big black widow spider pops out on

938
00:56:07,920 --> 00:56:10,160
Speaker 1: the ground and it wasn't moving, but it was fresh.

939
00:56:10,160 --> 00:56:11,960
Speaker 1: She had picked it up and killed it. Did you

940
00:56:12,000 --> 00:56:14,480
Speaker 1: get her? No? We washed her and somehow she did

941
00:56:14,480 --> 00:56:16,719
Speaker 1: not get bit. So yellow lab seemed to have a

942
00:56:16,719 --> 00:56:19,640
Speaker 1: propensity to get into venomous creatures. But but we did

943
00:56:19,640 --> 00:56:23,560
Speaker 1: talk about the you talked about the snake selection thing

944
00:56:23,640 --> 00:56:26,520
Speaker 1: about killing rattling rattle snakes, but we can just recap

945
00:56:26,560 --> 00:56:29,759
Speaker 1: it basically, in order for something like that, you're talking

946
00:56:29,760 --> 00:56:32,319
Speaker 1: about forcing evolution, kind of an artificial evolution, where you

947
00:56:32,320 --> 00:56:36,280
Speaker 1: select these animals that have a higher propensity to rat rattle,

948
00:56:36,560 --> 00:56:39,000
Speaker 1: animals that are quick to rattle, a little more sensitive

949
00:56:39,040 --> 00:56:42,680
Speaker 1: to rattle. And so you first of all have to

950
00:56:42,719 --> 00:56:45,800
Speaker 1: have snakes have to have that being genetically programmed. So

951
00:56:45,800 --> 00:56:48,160
Speaker 1: you have to have some snakes that they get this

952
00:56:48,239 --> 00:56:50,400
Speaker 1: gene from their parents that they're a little more sensitive

953
00:56:50,440 --> 00:56:52,560
Speaker 1: to rattle. You have to have that kind of genetic

954
00:56:52,560 --> 00:56:55,160
Speaker 1: connection or you can't make any kind of genetic changes

955
00:56:55,200 --> 00:56:58,000
Speaker 1: by selecting some or not selecting others. And so we

956
00:56:58,040 --> 00:57:01,320
Speaker 1: don't really know whether there's some genetic sensitivity to rattle

957
00:57:01,400 --> 00:57:03,719
Speaker 1: gene or not. But even if we assume there is,

958
00:57:04,080 --> 00:57:07,799
Speaker 1: then you've got to have people out there affecting a

959
00:57:07,920 --> 00:57:12,040
Speaker 1: majority of the population, taking a high proportion a disproportionate

960
00:57:12,120 --> 00:57:15,280
Speaker 1: number of these animals that are there are more sensitive

961
00:57:15,280 --> 00:57:17,320
Speaker 1: to rattle and something comes near him. So you've got

962
00:57:17,320 --> 00:57:20,360
Speaker 1: to have this selection to select those up disproportionately, and

963
00:57:20,440 --> 00:57:22,760
Speaker 1: you've got over the top of this, you've got all

964
00:57:22,800 --> 00:57:25,800
Speaker 1: of these other environmental factors that have something to do

965
00:57:25,880 --> 00:57:27,960
Speaker 1: have a lot to do with whether rattles take rattles

966
00:57:28,040 --> 00:57:30,440
Speaker 1: or not. You know, what's the ambient temperature. If it's

967
00:57:30,440 --> 00:57:32,840
Speaker 1: really cold, they're probably not gonna rattle, if it's if

968
00:57:32,840 --> 00:57:35,120
Speaker 1: it's really warm, they'll be a little quicker to rattle.

969
00:57:35,560 --> 00:57:38,520
Speaker 1: Maybe how how close you got to them, how big

970
00:57:38,560 --> 00:57:41,160
Speaker 1: and imposing you look. Maybe this rattles nake got almost

971
00:57:41,200 --> 00:57:42,960
Speaker 1: stepped on by a cow three times in the weekend.

972
00:57:42,960 --> 00:57:45,600
Speaker 1: He just piste off because here's someone else walking at him.

973
00:57:45,640 --> 00:57:48,560
Speaker 1: You know, what's your trajectory towards him, Whether he feels

974
00:57:48,560 --> 00:57:50,840
Speaker 1: like he's well hidden. All of that stuff has a

975
00:57:50,840 --> 00:57:53,080
Speaker 1: lot to do with how threatened the snake feels and

976
00:57:53,080 --> 00:57:55,760
Speaker 1: whether it's gonna rattle or not. And some idea that

977
00:57:56,080 --> 00:57:59,959
Speaker 1: it has some genetic component from its parents about whether

978
00:58:00,080 --> 00:58:02,960
Speaker 1: sensitive to rattle or not. Um just doesn't make a

979
00:58:03,000 --> 00:58:04,960
Speaker 1: lot of sense. There's too many other environmental factors that

980
00:58:05,000 --> 00:58:07,520
Speaker 1: are coming into play for any kind of wide scale

981
00:58:07,560 --> 00:58:11,840
Speaker 1: selection to actually change how quickly rattlesnakes rattle. In the

982
00:58:12,320 --> 00:58:13,760
Speaker 1: one thing you pointed out too, and I think I

983
00:58:13,800 --> 00:58:17,560
Speaker 1: mentioned this is Um, when you look at people who

984
00:58:17,640 --> 00:58:23,680
Speaker 1: do large scale rattlesnake killing, they're not walking around listening

985
00:58:23,720 --> 00:58:26,080
Speaker 1: for rattles. Yeah, they're not walking around, and then some

986
00:58:26,200 --> 00:58:28,680
Speaker 1: really sensitive rattlesnake rattles and then they go kill that.

987
00:58:28,880 --> 00:58:30,960
Speaker 1: So that's what you would need for that kind of selection.

988
00:58:31,280 --> 00:58:33,880
Speaker 1: They're going in and going into dens, and they're they're

989
00:58:33,880 --> 00:58:36,320
Speaker 1: doing all kinds of others, sometimes destructive things to get

990
00:58:36,400 --> 00:58:39,000
Speaker 1: rattlesnakes out, but it has nothing to do with how

991
00:58:39,280 --> 00:58:42,240
Speaker 1: sensitive that snake is to rattle or not. So you

992
00:58:42,280 --> 00:58:44,360
Speaker 1: can't you can't exert that kind of selection, even in

993
00:58:44,400 --> 00:58:48,280
Speaker 1: those really intensive rattlesnake round up kind of situations. So

994
00:58:48,320 --> 00:58:52,440
Speaker 1: next time someone says that, you say, shut up, that's

995
00:58:52,440 --> 00:58:54,600
Speaker 1: what I should have just said. As a public biologist

996
00:58:54,600 --> 00:59:00,560
Speaker 1: says generally what I use on the all Right, we're

997
00:59:00,600 --> 00:59:02,760
Speaker 1: gonna hit a bunch of uh, we're gonna get a

998
00:59:02,800 --> 00:59:06,520
Speaker 1: bunch of deer stuff with uh with with Jim and Dug,

999
00:59:06,600 --> 00:59:09,200
Speaker 1: and I'll point out that you know, Gym's from Arizona,

1000
00:59:09,440 --> 00:59:14,040
Speaker 1: Dugs in Wisconsin. Um, but they both are like very

1001
00:59:14,080 --> 00:59:17,880
Speaker 1: on top of the deer situation. So there's these two

1002
00:59:17,920 --> 00:59:21,240
Speaker 1: aren't like uh coming from but not like they don't

1003
00:59:21,240 --> 00:59:24,080
Speaker 1: work together, different necks of the woods, all that kind

1004
00:59:24,080 --> 00:59:27,240
Speaker 1: of stuff. But in my mind I was bracketted. I

1005
00:59:27,280 --> 00:59:29,600
Speaker 1: wanted them to come on together because they're the people

1006
00:59:29,680 --> 00:59:34,640
Speaker 1: that I email with the most about deer and often

1007
00:59:34,720 --> 00:59:38,400
Speaker 1: quite different things about deer. But we're gonna cover little ground.

1008
00:59:38,680 --> 00:59:40,680
Speaker 1: Who wants to Oh, let me hit you with this one,

1009
00:59:40,720 --> 00:59:42,440
Speaker 1: because we're gonna talk about COVID. Really, I don't want

1010
00:59:42,440 --> 00:59:45,439
Speaker 1: to spend a ton time in COVID and deer, all

1011
00:59:45,440 --> 00:59:47,480
Speaker 1: this stuff about I want to get your opinion on it.

1012
00:59:48,840 --> 00:59:53,040
Speaker 1: A lot of stuff about deer and COVID. Hoh to me,

1013
00:59:53,120 --> 00:59:57,320
Speaker 1: it just seems like such a I don't know, Okay,

1014
00:59:57,560 --> 01:00:01,080
Speaker 1: how much on the sliding scale of into ten each

1015
01:00:01,080 --> 01:00:03,720
Speaker 1: of you, Jim and Doug, on a sliding scale one

1016
01:00:03,720 --> 01:00:06,440
Speaker 1: to ten, how much do you agree with this statement,

1017
01:00:07,200 --> 01:00:10,000
Speaker 1: the dear COVID thing. This is me talking the dear

1018
01:00:10,040 --> 01:00:13,280
Speaker 1: COVID thing is a non issue. What is ten? What

1019
01:00:13,400 --> 01:00:15,680
Speaker 1: is one? In ten? On the scale? One is um

1020
01:00:16,240 --> 01:00:24,720
Speaker 1: strong disagreement, Ten is strong agreement. I would probably fall

1021
01:00:24,760 --> 01:00:30,320
Speaker 1: into seven. Doug. I'm confused as to what the scale

1022
01:00:30,400 --> 01:00:36,040
Speaker 1: is again, Yeah, okay, because I'm guessing Jim and I

1023
01:00:36,080 --> 01:00:39,120
Speaker 1: agree about that. I say the COVID dear thing. I

1024
01:00:39,160 --> 01:00:42,240
Speaker 1: feel like the COVID dear thing is a non issue.

1025
01:00:43,360 --> 01:00:47,080
Speaker 1: Strongly disagree is the one. Strongly agree is a ten?

1026
01:00:48,960 --> 01:00:50,360
Speaker 1: Is that what you the way you went at Yeah,

1027
01:00:50,400 --> 01:00:52,920
Speaker 1: I went I went closer to ten. I mostly agree

1028
01:00:52,960 --> 01:00:56,480
Speaker 1: with that. I think it's something that's just being that's

1029
01:00:56,520 --> 01:00:58,680
Speaker 1: being blown out because it's kind of a popular thing

1030
01:00:58,680 --> 01:01:01,360
Speaker 1: that gets a lot of clicks click bait. But but

1031
01:01:01,440 --> 01:01:03,680
Speaker 1: there is there is an element that we should not

1032
01:01:03,720 --> 01:01:07,120
Speaker 1: completely dismiss it. That's right, that's right, and that's yeah.

1033
01:01:07,120 --> 01:01:09,080
Speaker 1: So it's hard for me to put uh, so I'll

1034
01:01:09,080 --> 01:01:12,040
Speaker 1: go with like a five because it's noncommittal, right like

1035
01:01:13,040 --> 01:01:18,440
Speaker 1: you guys like dear COVID tweakers And here's why and

1036
01:01:18,480 --> 01:01:23,000
Speaker 1: here's why. Um, at least from what I learned, and

1037
01:01:23,360 --> 01:01:25,360
Speaker 1: Jim and I have some folks that we talked to

1038
01:01:25,440 --> 01:01:29,720
Speaker 1: in common about it, and as you guys have them overlap. Yeah, yeah,

1039
01:01:29,760 --> 01:01:31,400
Speaker 1: we know some of the same people talking to some

1040
01:01:31,440 --> 01:01:34,720
Speaker 1: of the same wildlife people. UM that it is a

1041
01:01:34,800 --> 01:01:38,040
Speaker 1: reservoir and if one of the things that it it does,

1042
01:01:38,280 --> 01:01:41,400
Speaker 1: is that it sort of tells me that, uh and

1043
01:01:41,440 --> 01:01:44,400
Speaker 1: maybe tells the conclusion that I came to talking with

1044
01:01:44,480 --> 01:01:48,280
Speaker 1: various people is that's so it's there, And so covid um,

1045
01:01:48,480 --> 01:01:51,880
Speaker 1: like chronic wasting disease, is something that we're going to

1046
01:01:51,960 --> 01:01:54,760
Speaker 1: have to live with understanding. But I think they found

1047
01:01:54,800 --> 01:02:00,760
Speaker 1: it in seventy animal species. Don't love it's that many?

1048
01:02:01,200 --> 01:02:08,080
Speaker 1: Do you say seventies? Somebody google that ship talking. You

1049
01:02:08,080 --> 01:02:12,720
Speaker 1: can't talk how many animal species that they found covid in.

1050
01:02:13,560 --> 01:02:19,840
Speaker 1: I mean tigers, lions, minx um, bogs. And here's my

1051
01:02:19,880 --> 01:02:21,640
Speaker 1: take on here. I'm gonna tell you this, and I

1052
01:02:21,720 --> 01:02:23,320
Speaker 1: want to I'm gonna preface this by saying I'm not

1053
01:02:23,360 --> 01:02:27,800
Speaker 1: a health professional. Let me do that. I just think

1054
01:02:27,840 --> 01:02:33,280
Speaker 1: that it's like hesitate even say this because people getting

1055
01:02:33,280 --> 01:02:34,920
Speaker 1: all kinds of trouble for saying and stuff like this.

1056
01:02:35,880 --> 01:02:38,840
Speaker 1: I don't think we're getting out of this one. I

1057
01:02:38,840 --> 01:02:42,640
Speaker 1: think it's the new norm. I think it's the new norm.

1058
01:02:42,680 --> 01:02:49,120
Speaker 1: So let me go there a director there, I agree.

1059
01:02:49,160 --> 01:02:51,560
Speaker 1: I do think it is. I think it's uh, you know,

1060
01:02:51,600 --> 01:02:54,520
Speaker 1: it's another example of zoonic disease that we have to

1061
01:02:54,520 --> 01:02:57,880
Speaker 1: pay attention to. But UM, you know, it's sort of

1062
01:02:57,920 --> 01:03:01,280
Speaker 1: like um with COVID. I mean we're you know, as

1063
01:03:02,280 --> 01:03:04,040
Speaker 1: we were flushing the toilets with our feet and all

1064
01:03:04,040 --> 01:03:06,040
Speaker 1: this other stuff, and I mean just after after a while,

1065
01:03:06,080 --> 01:03:07,920
Speaker 1: it's like, Okay, I want to get on with my life.

1066
01:03:08,840 --> 01:03:12,920
Speaker 1: Thanks for the information. I will take the precautions that

1067
01:03:12,960 --> 01:03:16,360
Speaker 1: I think are necessary. Um, I'll talk to professionals about

1068
01:03:16,360 --> 01:03:18,200
Speaker 1: it and make my decisions from there. But I'm getting

1069
01:03:18,240 --> 01:03:22,560
Speaker 1: on in my life. Yeah. What worries of wildlife health

1070
01:03:22,600 --> 01:03:27,320
Speaker 1: professionals is that make domestic mink caught it from their

1071
01:03:27,400 --> 01:03:30,720
Speaker 1: keepers from humans. So mink caught it from humans. Um,

1072
01:03:30,760 --> 01:03:33,000
Speaker 1: there's evidence that the virus circulated for a couple of

1073
01:03:33,000 --> 01:03:36,440
Speaker 1: months in the mink population mutated a little bit like

1074
01:03:36,480 --> 01:03:39,160
Speaker 1: it does, And there was a human that had COVID

1075
01:03:39,240 --> 01:03:41,960
Speaker 1: nineteen and it had one of the strains that had

1076
01:03:42,040 --> 01:03:44,840
Speaker 1: mutated in the mink population, and it had infected the

1077
01:03:44,880 --> 01:03:48,800
Speaker 1: human and the human got COVID. So it's some people

1078
01:03:48,800 --> 01:03:51,640
Speaker 1: are worried that with a huge reservoir like deer, it

1079
01:03:51,680 --> 01:03:54,360
Speaker 1: could mutate into such a form that would be no

1080
01:03:54,520 --> 01:03:57,040
Speaker 1: more virulent if it went back into humans. There's no

1081
01:03:57,120 --> 01:04:00,200
Speaker 1: evidence that COVID has ever jumped from deer back into

1082
01:04:00,240 --> 01:04:01,960
Speaker 1: human There's no evidence that the deer has ever been

1083
01:04:01,960 --> 01:04:03,960
Speaker 1: phased by it. There's no evidence that the deer has

1084
01:04:03,960 --> 01:04:06,480
Speaker 1: ever had That's one thing that's important too. The virus

1085
01:04:06,600 --> 01:04:10,560
Speaker 1: is called sarros Kobe two. The virus that causes COVID nineteen.

1086
01:04:10,720 --> 01:04:13,160
Speaker 1: COVID nineteen is the disease, and sarros Kobe two is

1087
01:04:13,200 --> 01:04:16,200
Speaker 1: the virus. So deer have been shown to have been

1088
01:04:16,240 --> 01:04:19,080
Speaker 1: exposed to the virus, and they've elevated antibody showing they're

1089
01:04:19,120 --> 01:04:21,960
Speaker 1: exposed to it. No deer has ever been documented to

1090
01:04:21,960 --> 01:04:24,480
Speaker 1: actually have any kind of sickness, to actually have the

1091
01:04:24,480 --> 01:04:26,760
Speaker 1: COVID ninteen sickness. I feel like I'm being a little glib,

1092
01:04:26,880 --> 01:04:28,640
Speaker 1: so I want to I want to articulate my perspective

1093
01:04:28,640 --> 01:04:33,760
Speaker 1: a little bit more thoroughly. Uh. I don't think we're

1094
01:04:34,360 --> 01:04:36,240
Speaker 1: I don't think we're gonna defeat COVID. I don't think

1095
01:04:36,240 --> 01:04:38,439
Speaker 1: we're gonna constrain it. I don't think we're gonna limit

1096
01:04:38,520 --> 01:04:41,080
Speaker 1: any of the spreads of any of the variants. I

1097
01:04:41,120 --> 01:04:43,400
Speaker 1: think that it's gonna be We're gonna have new variants

1098
01:04:43,440 --> 01:04:45,920
Speaker 1: coming out of the human population all the time in

1099
01:04:45,960 --> 01:04:47,400
Speaker 1: a couple of years. I think we're gonna look at

1100
01:04:47,440 --> 01:04:49,200
Speaker 1: a lot of stuff we did and we'll be like, oh, yeah,

1101
01:04:49,200 --> 01:04:52,320
Speaker 1: maybe we delayed something, but probably not, or maybe maybe

1102
01:04:52,320 --> 01:04:54,440
Speaker 1: we delayed something. That's just the reality now. And it

1103
01:04:54,480 --> 01:04:56,880
Speaker 1: gave us a minute to get boned up on medications

1104
01:04:56,880 --> 01:05:00,160
Speaker 1: and stuff. But it's circulating in a bunch of animals.

1105
01:05:00,600 --> 01:05:04,600
Speaker 1: It's circulating in a bunch of people across five or

1106
01:05:04,800 --> 01:05:08,480
Speaker 1: what what six continents. Um. I don't think that it's

1107
01:05:08,480 --> 01:05:12,480
Speaker 1: like a ship now, dear, got it. This will never end,

1108
01:05:12,760 --> 01:05:15,680
Speaker 1: Like I just I feel it's like a I feel

1109
01:05:15,720 --> 01:05:17,400
Speaker 1: it's a non factor. But we got a nice letter

1110
01:05:17,400 --> 01:05:22,560
Speaker 1: from a funeral director and he was pointing out and

1111
01:05:22,600 --> 01:05:26,240
Speaker 1: he's like he's like, hey, if you deer listen, I've

1112
01:05:26,240 --> 01:05:28,200
Speaker 1: been dealing So there's like a lot of information out

1113
01:05:28,200 --> 01:05:29,680
Speaker 1: there for people that are deer hunt. Now they're like

1114
01:05:29,720 --> 01:05:30,920
Speaker 1: when you go when you go to got a deer,

1115
01:05:30,960 --> 01:05:33,280
Speaker 1: you gotta have your LATEX clubs, you got have a knife. Well,

1116
01:05:33,280 --> 01:05:35,600
Speaker 1: now they're like, you gotta have your COVID mask. This

1117
01:05:35,640 --> 01:05:39,280
Speaker 1: guy wrote in says, listen, I've been dealing with COVID

1118
01:05:39,360 --> 01:05:43,320
Speaker 1: deceased people and here's what we do, and we have

1119
01:05:43,320 --> 01:05:46,960
Speaker 1: a hundred success success rate and staying healthy. He admits

1120
01:05:47,320 --> 01:05:49,800
Speaker 1: processing a deer is not the same as processing the human,

1121
01:05:51,480 --> 01:05:55,440
Speaker 1: but these tips could still be used. He suggests this

1122
01:05:55,560 --> 01:05:57,520
Speaker 1: when butchering in the field. I don't don't think they

1123
01:05:57,640 --> 01:06:01,880
Speaker 1: used that word in the funeral when butchering in the field.

1124
01:06:03,320 --> 01:06:05,600
Speaker 1: When my father died. My father died late at night,

1125
01:06:06,080 --> 01:06:08,640
Speaker 1: and um, I was the last person. I watched him

1126
01:06:08,640 --> 01:06:11,240
Speaker 1: take his last breath. And I remember the funeral people

1127
01:06:11,360 --> 01:06:15,480
Speaker 1: quickly showed up. And they showed up, um in their

1128
01:06:15,520 --> 01:06:18,880
Speaker 1: suits and the long black wool coats, and they were

1129
01:06:18,920 --> 01:06:24,000
Speaker 1: there fast, say yeah, my dad died. It was very

1130
01:06:24,240 --> 01:06:27,320
Speaker 1: very like Danny. Guys got here quick, dressed up like that.

1131
01:06:29,200 --> 01:06:30,960
Speaker 1: He's just like land in bed with that stuff on.

1132
01:06:32,000 --> 01:06:37,720
Speaker 1: Uh what was I getting at? Oh? Moved to it,

1133
01:06:37,720 --> 01:06:40,400
Speaker 1: he says. He. Here's the here's what morticians are doing

1134
01:06:40,560 --> 01:06:43,160
Speaker 1: around COVID deceased. When butchering in the field. Moved to

1135
01:06:43,200 --> 01:06:46,520
Speaker 1: an open area with lots of air circulation. Stand up

1136
01:06:46,600 --> 01:06:49,960
Speaker 1: wind of the deer. Do not compress the chest of

1137
01:06:50,000 --> 01:06:53,880
Speaker 1: the animal. When rolling the animal over, stand away from

1138
01:06:53,880 --> 01:06:57,840
Speaker 1: the head, tape the mouth closed and plugged the nostrils,

1139
01:06:59,240 --> 01:07:02,840
Speaker 1: starts paying the pit you're doing it, always wear gloves

1140
01:07:02,840 --> 01:07:07,000
Speaker 1: in a mask. Here's a tip. When we removing the lungs,

1141
01:07:07,040 --> 01:07:12,560
Speaker 1: do not squeeze. Bury them once removed. After field dressing

1142
01:07:12,600 --> 01:07:16,880
Speaker 1: his complete place the deer in cold, isolated storage for

1143
01:07:16,880 --> 01:07:21,440
Speaker 1: forty eight hours before continuing on. I've had no experience

1144
01:07:21,480 --> 01:07:24,320
Speaker 1: consuming an animal of this state. That's good to hear.

1145
01:07:27,200 --> 01:07:30,120
Speaker 1: I would consult further experts on this topic. So there

1146
01:07:30,160 --> 01:07:33,600
Speaker 1: you have it from a real pro. I love it.

1147
01:07:35,560 --> 01:07:37,480
Speaker 1: Here's can I give you no go ahead? Doug? I

1148
01:07:37,560 --> 01:07:39,120
Speaker 1: was just gonna say, I gotta thank this guy for

1149
01:07:39,200 --> 01:07:42,840
Speaker 1: writing this because it's like, how are you gonna make

1150
01:07:42,840 --> 01:07:45,600
Speaker 1: this ship sound interesting? Man? And that does? It really does.

1151
01:07:45,640 --> 01:07:47,600
Speaker 1: Oh listen, man, we got like the best audience in

1152
01:07:47,600 --> 01:07:50,480
Speaker 1: the world. We get great, great photos, great feedback. Someone

1153
01:07:50,840 --> 01:07:52,760
Speaker 1: go ahead. The other thing, thank you. The other thing

1154
01:07:52,800 --> 01:07:55,320
Speaker 1: I would say is um as a lot of folks know,

1155
01:07:55,440 --> 01:07:58,760
Speaker 1: I have a CDB detesting kiosk on our far more

1156
01:07:58,760 --> 01:08:02,080
Speaker 1: people drop off carried away by a tornado, got tipped

1157
01:08:02,280 --> 01:08:05,200
Speaker 1: by the tornado, get carried away. It's only a few

1158
01:08:05,280 --> 01:08:07,280
Speaker 1: yards down the field, but Doug's out to own his

1159
01:08:07,360 --> 01:08:12,360
Speaker 1: wife's a picture of his upside down kiosk off. It's

1160
01:08:12,360 --> 01:08:17,240
Speaker 1: like I leave and ship happens um uh. And in

1161
01:08:17,320 --> 01:08:20,599
Speaker 1: our kiosk um I opened up um I have as

1162
01:08:20,600 --> 01:08:22,519
Speaker 1: I have to open up bags and make sure the

1163
01:08:22,520 --> 01:08:25,840
Speaker 1: PaperWorks right and stuff. And several of the deer they

1164
01:08:25,880 --> 01:08:29,400
Speaker 1: all came from the same place that the moms were

1165
01:08:29,439 --> 01:08:32,439
Speaker 1: tape shot on him. And I was like, that's interesting.

1166
01:08:33,160 --> 01:08:37,240
Speaker 1: I hadn't. I hadn't. I hadn't read that as a recommendation,

1167
01:08:37,320 --> 01:08:40,160
Speaker 1: and I didn't notice that there was anything plugging the nostrils.

1168
01:08:40,680 --> 01:08:43,360
Speaker 1: But they did have notes on the like this is

1169
01:08:43,439 --> 01:08:48,280
Speaker 1: Shawn's buck or you know, Joe's dough or whatever, So

1170
01:08:49,000 --> 01:08:50,479
Speaker 1: maybe that was why they did it. I know the guy,

1171
01:08:50,520 --> 01:08:52,679
Speaker 1: so I'm gonna have to ask him about it. I'm

1172
01:08:52,720 --> 01:08:56,400
Speaker 1: only mentioned in this somehow. My wife has these little

1173
01:08:56,439 --> 01:09:01,639
Speaker 1: snowmen Christmas ornaments that are made out of tamps come.

1174
01:09:01,720 --> 01:09:04,559
Speaker 1: So my boys are like, what is that? It sounds

1175
01:09:04,560 --> 01:09:08,519
Speaker 1: like a Karan Art project. My wife gives him the

1176
01:09:08,560 --> 01:09:11,000
Speaker 1: full gives my boys the full rundown, you know, for

1177
01:09:11,080 --> 01:09:15,519
Speaker 1: like what that's all about. And then, uh, either way,

1178
01:09:15,520 --> 01:09:20,360
Speaker 1: that'd be a great nostril plug, perfect size, right, maybe

1179
01:09:20,360 --> 01:09:24,080
Speaker 1: a little big for some carry those people comeback carry

1180
01:09:24,080 --> 01:09:27,080
Speaker 1: tampons a lot for bullet bullet wounds, pass through bullet

1181
01:09:27,120 --> 01:09:29,439
Speaker 1: wounds through an arm, and they shove a tampon through it. Yea.

1182
01:09:29,479 --> 01:09:31,880
Speaker 1: And if the pandemic ends, makes snowman out of him.

1183
01:09:31,920 --> 01:09:35,360
Speaker 1: That's like a thing in wrestling, is like wrestlers go

1184
01:09:35,439 --> 01:09:39,639
Speaker 1: get bloody noses and shove tamp Remember the movie Strange

1185
01:09:39,640 --> 01:09:41,360
Speaker 1: Brew He gets a bloody nose and court and the

1186
01:09:41,360 --> 01:09:43,320
Speaker 1: bailiff gives him a bullet to plug his nose with.

1187
01:09:44,080 --> 01:09:46,240
Speaker 1: Then someone cracks a joke and the bullet flies out

1188
01:09:47,040 --> 01:09:50,559
Speaker 1: and goes off. It's a good movie. Here here a

1189
01:09:50,600 --> 01:09:52,759
Speaker 1: listener wrote in about this, This guy's kind of licking

1190
01:09:52,760 --> 01:09:54,680
Speaker 1: his lips at this whole COVID thing because he's like, man,

1191
01:09:54,680 --> 01:10:00,559
Speaker 1: if dear lose their sense of smell hunting, it's good change.

1192
01:10:00,880 --> 01:10:03,479
Speaker 1: You're gonna change the whole game. Man, I'm going to

1193
01:10:03,600 --> 01:10:05,800
Speaker 1: change the whole game. That's a good point, all right.

1194
01:10:05,920 --> 01:10:07,240
Speaker 1: P f A S and dear, What the hell is

1195
01:10:07,280 --> 01:10:09,479
Speaker 1: the p f A? P f A. This is an

1196
01:10:09,520 --> 01:10:11,800
Speaker 1: emerging thing that that I didn't know much about until

1197
01:10:11,800 --> 01:10:13,920
Speaker 1: I started looking into it. But they're just chemicals that

1198
01:10:13,960 --> 01:10:17,320
Speaker 1: don't degrade. They kind of accumulate in the environment forever chemicals, right,

1199
01:10:17,479 --> 01:10:21,240
Speaker 1: they like a little little little sort of like public

1200
01:10:21,479 --> 01:10:23,080
Speaker 1: what the hell, what the hell? How did I describe it?

1201
01:10:23,080 --> 01:10:26,120
Speaker 1: It's kind of the the gnome do you were? That's

1202
01:10:26,160 --> 01:10:30,360
Speaker 1: not rute acute name, Yeah, because something you find in

1203
01:10:30,360 --> 01:10:32,080
Speaker 1: the media all the time, because they like to pick those.

1204
01:10:32,160 --> 01:10:34,080
Speaker 1: But they came around the nineteen fifties and they put

1205
01:10:34,120 --> 01:10:38,280
Speaker 1: them in flame retardant stuff and water um water resistant,

1206
01:10:38,720 --> 01:10:43,680
Speaker 1: um chemicals, all kinds of plastics, probably Clark Riswold's nonnutritive

1207
01:10:44,000 --> 01:10:47,560
Speaker 1: cereal garners and those kind of things. But it's ubiquitous

1208
01:10:47,600 --> 01:10:49,720
Speaker 1: in the environment. And and now they're starting to find

1209
01:10:49,760 --> 01:10:52,840
Speaker 1: out that they don't degrade until they're they're accumulating, and

1210
01:10:52,880 --> 01:10:56,920
Speaker 1: tissues are accumulating and detected and blood. And so we

1211
01:10:57,000 --> 01:11:00,400
Speaker 1: had had the one report in Maine this year of

1212
01:11:00,960 --> 01:11:04,280
Speaker 1: the local municipality advising people not to eat deer from

1213
01:11:04,320 --> 01:11:08,400
Speaker 1: this one local specific that was coming from a local municipality. Yeah,

1214
01:11:08,720 --> 01:11:12,719
Speaker 1: not to eat deer either, and so um so we um.

1215
01:11:12,720 --> 01:11:14,920
Speaker 1: Brian Richards sent me a link from a year ago

1216
01:11:15,160 --> 01:11:18,599
Speaker 1: that was in Marinette, Michigan. Marinette Michigan, Marionett, Wisconsin right

1217
01:11:18,600 --> 01:11:22,280
Speaker 1: on the side um. And that was a year ago,

1218
01:11:22,320 --> 01:11:24,800
Speaker 1: and they were they were advising people not to eat

1219
01:11:24,800 --> 01:11:26,920
Speaker 1: the livers of deer. So they were saying that in

1220
01:11:26,960 --> 01:11:30,240
Speaker 1: the heart tissue and the muscle tissue um the levels

1221
01:11:30,240 --> 01:11:32,960
Speaker 1: were undetectable or very low and not a problem. But

1222
01:11:33,040 --> 01:11:35,120
Speaker 1: in the livers because the livers and the kidneys are

1223
01:11:35,200 --> 01:11:38,040
Speaker 1: organs that that filter the blood and they filtered toxics,

1224
01:11:38,160 --> 01:11:40,800
Speaker 1: toxins out of the blood, and so it was accumulating

1225
01:11:40,800 --> 01:11:42,040
Speaker 1: in the liver and they're telling people not to eat

1226
01:11:42,120 --> 01:11:44,200
Speaker 1: the liver. So what were they seeing? Do you know,

1227
01:11:44,479 --> 01:11:47,680
Speaker 1: because a handful of people from Maine sent us this

1228
01:11:47,680 --> 01:11:51,960
Speaker 1: this this warning that came out, what were they looking at?

1229
01:11:53,240 --> 01:11:55,519
Speaker 1: Do you know, like what were they seeing specifically? Were

1230
01:11:55,560 --> 01:11:58,400
Speaker 1: they seeing were they actually seeing like really elevated counts

1231
01:11:58,520 --> 01:12:05,240
Speaker 1: in venice theoretical? Yeah, I don't know the specifics, whether

1232
01:12:05,280 --> 01:12:08,240
Speaker 1: they like like a year previous in Wisconsin where they

1233
01:12:08,280 --> 01:12:11,400
Speaker 1: tested heart tissue, muscle tissue, and liver tissue and found

1234
01:12:11,439 --> 01:12:13,920
Speaker 1: that there are different levels in the main situation. I

1235
01:12:13,960 --> 01:12:17,320
Speaker 1: don't know what they tested and when, what was sparking

1236
01:12:17,800 --> 01:12:19,720
Speaker 1: their concern, Whether it was just in the blood or

1237
01:12:19,760 --> 01:12:22,559
Speaker 1: the muscles. Do you feel that? Uh, guess something to say.

1238
01:12:22,880 --> 01:12:25,240
Speaker 1: But the difference is in Maine they're saying don't eat

1239
01:12:25,280 --> 01:12:28,600
Speaker 1: the meat, don't eat the deer out of a very specific,

1240
01:12:28,960 --> 01:12:34,160
Speaker 1: very specific area. In Wisconsin it was and they actually

1241
01:12:34,160 --> 01:12:37,320
Speaker 1: they specifically said don't worry about eating heart tissue and

1242
01:12:37,400 --> 01:12:41,000
Speaker 1: muscle tissue in Wisconsin. That I clarified earlier that I'm

1243
01:12:41,000 --> 01:12:43,720
Speaker 1: not a health care professional. Yeah, nor am I. I

1244
01:12:43,800 --> 01:12:46,960
Speaker 1: would like to clarify that. I would. I have a

1245
01:12:47,000 --> 01:12:50,000
Speaker 1: way that I assess things, and I go like, would

1246
01:12:50,040 --> 01:12:52,640
Speaker 1: I really die from this? Like? Will this be the

1247
01:12:52,680 --> 01:12:56,280
Speaker 1: thing I die from? And this is not to advise anyone,

1248
01:12:56,360 --> 01:12:59,960
Speaker 1: but I just put in that situation, I'll probably like, man,

1249
01:13:00,920 --> 01:13:03,160
Speaker 1: am I really gonna like? Is this gonna be the

1250
01:13:03,200 --> 01:13:06,320
Speaker 1: thing that kills me? Eating this deer? And I'd be like,

1251
01:13:07,040 --> 01:13:09,200
Speaker 1: in my mind, I would be like, that's not gonna

1252
01:13:09,240 --> 01:13:12,400
Speaker 1: do it. Yeah, this is gonna be heart disease. Those

1253
01:13:13,160 --> 01:13:15,559
Speaker 1: p F phase and I've heard them called p fast.

1254
01:13:15,600 --> 01:13:17,439
Speaker 1: I don't know if that's what the cool kids use

1255
01:13:17,720 --> 01:13:20,640
Speaker 1: or if that's just what one person was using incorrectly,

1256
01:13:20,680 --> 01:13:23,200
Speaker 1: but they've been linked to higher cholesterol. They've been linked

1257
01:13:23,240 --> 01:13:26,720
Speaker 1: to kidney testicular cancer, been linked to lower birth weight,

1258
01:13:26,840 --> 01:13:30,320
Speaker 1: changes in liver enzymes, UM, high blood pressure, and in

1259
01:13:30,720 --> 01:13:34,479
Speaker 1: children a decrease reaction to vaccinations in getting their endi

1260
01:13:34,479 --> 01:13:38,240
Speaker 1: body levels up. So there's some medical connections with UM

1261
01:13:38,280 --> 01:13:40,559
Speaker 1: having these high levels of that in the blood. Most

1262
01:13:40,560 --> 01:13:42,639
Speaker 1: of those studies that were done in areas that where

1263
01:13:42,640 --> 01:13:45,479
Speaker 1: the people had really high levels, not just kind of

1264
01:13:45,479 --> 01:13:48,439
Speaker 1: baseline levels, but also the CDC and some other sources

1265
01:13:48,439 --> 01:13:53,519
Speaker 1: say of people in the United States have measurable p

1266
01:13:53,720 --> 01:13:55,639
Speaker 1: f P fast out of the gate in their blood.

1267
01:13:56,080 --> 01:13:57,920
Speaker 1: Just an environmental level. But if you look at this

1268
01:13:58,000 --> 01:14:01,360
Speaker 1: area in Maine, are they advising don't don't eat vegetables

1269
01:14:01,400 --> 01:14:04,479
Speaker 1: from vegetable gardens in this area? Are they advising or

1270
01:14:04,600 --> 01:14:06,400
Speaker 1: does that not work that way? Are they advising don't

1271
01:14:06,400 --> 01:14:09,880
Speaker 1: eat livestock products from this area? I haven't heard that,

1272
01:14:09,960 --> 01:14:13,519
Speaker 1: but yeah, that's interesting. I'm not sure, but UM, I

1273
01:14:13,600 --> 01:14:19,360
Speaker 1: know this specific area in Maine. Um it was Fairfield

1274
01:14:19,439 --> 01:14:26,280
Speaker 1: was once used in a pulp paper manufacturing uh and yep,

1275
01:14:26,439 --> 01:14:30,200
Speaker 1: and the bioats was spread on farm fields for years.

1276
01:14:30,360 --> 01:14:35,639
Speaker 1: So I don't I haven't seen anything else to UM,

1277
01:14:35,680 --> 01:14:38,160
Speaker 1: I guess prove what this person has said. But he

1278
01:14:38,240 --> 01:14:40,360
Speaker 1: said that the kind of word on the street is

1279
01:14:40,400 --> 01:14:45,320
Speaker 1: at local dairy farmers. Look at that right now. Wow, man,

1280
01:14:45,960 --> 01:14:47,600
Speaker 1: this is one of the guys that Roller needs his man.

1281
01:14:47,720 --> 01:14:51,120
Speaker 1: Their family has been hunting, he said his for forty years.

1282
01:14:51,160 --> 01:14:53,400
Speaker 1: They've been hunting. The property smack dab in the middle

1283
01:14:53,439 --> 01:14:55,320
Speaker 1: of this zone if you look at it like a

1284
01:14:55,320 --> 01:15:00,280
Speaker 1: county map falls in Fairfield. He's one of his. Really

1285
01:15:00,280 --> 01:15:03,439
Speaker 1: safety I hate to give it, yeah, I don't want

1286
01:15:03,439 --> 01:15:05,880
Speaker 1: to give advice, man, but you know, I remember one

1287
01:15:05,920 --> 01:15:07,960
Speaker 1: time I had a garden and I just for I

1288
01:15:08,000 --> 01:15:10,080
Speaker 1: wanted to send a soil sample into a unit the

1289
01:15:10,160 --> 01:15:12,720
Speaker 1: local like you know, you have the land grant universities

1290
01:15:12,760 --> 01:15:16,599
Speaker 1: that have like an egg extension thing, and they came

1291
01:15:16,640 --> 01:15:20,800
Speaker 1: back with very high elevated levels of lead in the

1292
01:15:20,800 --> 01:15:25,920
Speaker 1: garden soil, right and like really high. I remember one

1293
01:15:26,040 --> 01:15:30,800
Speaker 1: was like X was high or something already. And um,

1294
01:15:30,840 --> 01:15:32,920
Speaker 1: I pondered that for a day or two and then

1295
01:15:34,080 --> 01:15:36,160
Speaker 1: went on a garden is that for you? Is that

1296
01:15:36,200 --> 01:15:39,720
Speaker 1: from your shooting raccoons in the garden leads? No, you

1297
01:15:39,720 --> 01:15:42,439
Speaker 1: know what. I was curious how that happened? And uh,

1298
01:15:42,600 --> 01:15:44,479
Speaker 1: and I spoke to Coup people and they're saying that,

1299
01:15:44,840 --> 01:15:48,920
Speaker 1: um that they the thing they were looking at most

1300
01:15:48,920 --> 01:15:52,519
Speaker 1: there was the years of leaded gasoline. So being in

1301
01:15:52,560 --> 01:15:54,920
Speaker 1: a you know, being an area just close proximity to

1302
01:15:54,960 --> 01:15:57,680
Speaker 1: where there was a lot of a lot of combustion

1303
01:15:57,680 --> 01:16:01,400
Speaker 1: of leaded gas and for a lot of the yeah,

1304
01:16:01,400 --> 01:16:04,400
Speaker 1: it falls out of that exhaust. And you might have

1305
01:16:04,439 --> 01:16:06,559
Speaker 1: an area where I don't know, man, or you like

1306
01:16:06,640 --> 01:16:10,000
Speaker 1: idole detractor, Your people are idoling their tractor for seventy

1307
01:16:10,120 --> 01:16:15,080
Speaker 1: years outside the whatever barn you could have like uh

1308
01:16:15,160 --> 01:16:17,080
Speaker 1: from the years of letted gas. Like I said, Man,

1309
01:16:17,120 --> 01:16:18,479
Speaker 1: it like shook me up, and that just kind of

1310
01:16:18,479 --> 01:16:23,880
Speaker 1: went on the My needer reaction is to not worry

1311
01:16:23,920 --> 01:16:27,439
Speaker 1: about the p fest But but disease professionals will tell

1312
01:16:27,479 --> 01:16:32,040
Speaker 1: you if if your missalities issuing a don't eat kind

1313
01:16:32,040 --> 01:16:34,880
Speaker 1: of advisory, you probably would be smart to follow up.

1314
01:16:35,880 --> 01:16:38,519
Speaker 1: Where my brain goes with that is like the every

1315
01:16:38,600 --> 01:16:42,479
Speaker 1: boat ramp having a mercury advisory. You know, like that's

1316
01:16:42,520 --> 01:16:47,679
Speaker 1: commonplace everywhere is mercury advisors don't eat too much fish.

1317
01:16:47,720 --> 01:16:51,720
Speaker 1: But I don't personally know anyone that's ever ran into

1318
01:16:51,720 --> 01:16:54,040
Speaker 1: mercury poisoning problem. I tell you, funny story about man.

1319
01:16:54,600 --> 01:16:58,880
Speaker 1: Go ahead, do you has something to say? Though? Uh? Yeah,

1320
01:16:59,439 --> 01:17:01,639
Speaker 1: the thing that can serns me. And if someone who's

1321
01:17:01,680 --> 01:17:05,120
Speaker 1: in that area with right in, I'd like to follow

1322
01:17:05,200 --> 01:17:07,160
Speaker 1: up this. Being a kid who grew up with a

1323
01:17:07,200 --> 01:17:09,880
Speaker 1: dairy farm, he said that the word is the local

1324
01:17:09,960 --> 01:17:12,360
Speaker 1: dairy farmers have killed off their stock as well. And

1325
01:17:12,439 --> 01:17:15,120
Speaker 1: my question is one, did that happen? Our questions are one,

1326
01:17:15,160 --> 01:17:18,840
Speaker 1: did that happen? And too? If so, why because in

1327
01:17:19,240 --> 01:17:24,240
Speaker 1: um in the livestock world, if there's a disease issue

1328
01:17:24,600 --> 01:17:28,720
Speaker 1: and they're a handful of them, that the Department of

1329
01:17:28,760 --> 01:17:33,280
Speaker 1: Bagga culture requires you to destroy your hurt. And I'm

1330
01:17:33,280 --> 01:17:35,439
Speaker 1: wondering if this was something that was required or if

1331
01:17:35,439 --> 01:17:37,880
Speaker 1: they're just saying it was a mess or I can't

1332
01:17:37,880 --> 01:17:40,200
Speaker 1: imagine if it's true or not. Well, right, that's what

1333
01:17:40,240 --> 01:17:43,680
Speaker 1: I'm asking. Is it true? If so? You know so,

1334
01:17:44,120 --> 01:17:50,920
Speaker 1: skepticism is the chastity. I'm with you, Uh you so?

1335
01:17:51,040 --> 01:17:54,240
Speaker 1: My dad when my dad's main fishing buddies when I

1336
01:17:54,280 --> 01:17:55,960
Speaker 1: was a kid, as his dude Ron and Ron was

1337
01:17:56,040 --> 01:17:58,160
Speaker 1: also a commercial bait fisherman, so he made his living

1338
01:17:58,240 --> 01:18:00,599
Speaker 1: catching live bait and selling live He had his own

1339
01:18:00,640 --> 01:18:02,639
Speaker 1: bait shop, but then he distributed live bait to other

1340
01:18:02,640 --> 01:18:04,680
Speaker 1: bait shops, and the dude fished all the time and

1341
01:18:04,760 --> 01:18:08,280
Speaker 1: lived off fish, lived off freshwater fish. And they were

1342
01:18:08,320 --> 01:18:11,080
Speaker 1: scouring around the University of Michigan was scouring around for

1343
01:18:11,120 --> 01:18:12,840
Speaker 1: old dudes like him that have been eating fish their

1344
01:18:12,840 --> 01:18:15,320
Speaker 1: whole life out of the Great Lakes, and they would

1345
01:18:15,320 --> 01:18:18,520
Speaker 1: send him and he would periodically go down to University

1346
01:18:18,520 --> 01:18:23,240
Speaker 1: of Michigan to do these mercury tests, and part of

1347
01:18:23,240 --> 01:18:27,000
Speaker 1: it would be these memory quizzes, and they'd say to

1348
01:18:27,080 --> 01:18:29,840
Speaker 1: him like, Okay, you gotta go to the grocery store

1349
01:18:30,600 --> 01:18:35,479
Speaker 1: and get you know, milk, eggs, bread, black pepper, olive oil,

1350
01:18:36,120 --> 01:18:38,640
Speaker 1: and lettuce. And then he had to sit there for

1351
01:18:38,720 --> 01:18:41,080
Speaker 1: a minute and they'd say what do I get the

1352
01:18:41,080 --> 01:18:44,240
Speaker 1: grocery store? And in describing these tests to me, he

1353
01:18:44,320 --> 01:18:47,160
Speaker 1: said to me, uh, man, I wouldn't have been able

1354
01:18:47,200 --> 01:18:49,240
Speaker 1: to remember that if I never ate fish at all.

1355
01:18:54,800 --> 01:18:58,960
Speaker 1: Uh uh. We had another thing, cad mealman liver. I

1356
01:18:58,960 --> 01:19:02,080
Speaker 1: don't know, like I'm not downplaying cadmium the liver. I

1357
01:19:02,080 --> 01:19:03,800
Speaker 1: don't know. I'm just you guys want to talk more

1358
01:19:03,800 --> 01:19:07,639
Speaker 1: about stuff that's hiding deer, Not really, I mean cadmium

1359
01:19:07,720 --> 01:19:11,400
Speaker 1: can cause some some health issues. It's probably a local

1360
01:19:11,479 --> 01:19:13,519
Speaker 1: I mean it's it's probably a local thing, and you

1361
01:19:13,520 --> 01:19:15,960
Speaker 1: could probably find a lot of these little situations where

1362
01:19:16,160 --> 01:19:19,320
Speaker 1: there's some kind of contamination and it gets concentrated in

1363
01:19:19,320 --> 01:19:23,240
Speaker 1: the liver. New Hampshire Fishing Game advises against eating deer

1364
01:19:23,320 --> 01:19:27,280
Speaker 1: liver because of p fast. Same thing we just talked

1365
01:19:27,280 --> 01:19:32,719
Speaker 1: about and cadmium. M All right, here's a neard disease.

1366
01:19:32,720 --> 01:19:34,040
Speaker 1: And we've covered this a little bit, but just why

1367
01:19:34,080 --> 01:19:38,280
Speaker 1: I get get a little um. I got a question

1368
01:19:38,320 --> 01:19:44,240
Speaker 1: for each of you around the h D um episodic

1369
01:19:44,280 --> 01:19:48,519
Speaker 1: hemorrhagic disease. E h D seems to be like I've

1370
01:19:48,520 --> 01:19:51,320
Speaker 1: never heard any suggestion that there's any effect on humans,

1371
01:19:52,240 --> 01:19:54,960
Speaker 1: but it's now damn effective on deer. And uh, you know,

1372
01:19:55,040 --> 01:19:57,200
Speaker 1: you can have an e h D outbreak that you're

1373
01:19:57,280 --> 01:20:00,720
Speaker 1: you're commonly here of fifty sevent five percent of a

1374
01:20:00,760 --> 01:20:05,080
Speaker 1: deer herd getting carried off by e h D. Uh.

1375
01:20:05,320 --> 01:20:07,800
Speaker 1: We had had a we were having a discussion about

1376
01:20:07,920 --> 01:20:10,639
Speaker 1: HD recently and someone mentioned that it's that it's always

1377
01:20:10,680 --> 01:20:14,120
Speaker 1: fatal deer and and got some feedback that's in fact

1378
01:20:14,160 --> 01:20:19,639
Speaker 1: not the case. So go ahead and talk about that. Yeah,

1379
01:20:19,720 --> 01:20:22,280
Speaker 1: they may have been thinking about CWD, which we talked

1380
01:20:22,280 --> 01:20:24,960
Speaker 1: about is always fatal. But e h D actually a

1381
01:20:25,080 --> 01:20:27,760
Speaker 1: large percentage of the deer population survives the h D

1382
01:20:27,880 --> 01:20:30,479
Speaker 1: every year, even when you get those big die offs

1383
01:20:30,520 --> 01:20:33,160
Speaker 1: like that. But the ones that survived get antibody levels

1384
01:20:33,160 --> 01:20:34,720
Speaker 1: and that makes them immune to it for a year

1385
01:20:34,760 --> 01:20:36,680
Speaker 1: or two, so you generally don't get e h D

1386
01:20:37,280 --> 01:20:40,120
Speaker 1: die offs in consecutive years. You'll get up, you'll get

1387
01:20:40,120 --> 01:20:42,439
Speaker 1: it like especially a dry summer, a real drought summer,

1388
01:20:42,680 --> 01:20:44,400
Speaker 1: and you'll get a really bad h D year, and

1389
01:20:44,439 --> 01:20:46,200
Speaker 1: you'll you'll lose a lot of them in late summer,

1390
01:20:46,560 --> 01:20:48,559
Speaker 1: and then the next year, all the ones that survived

1391
01:20:48,800 --> 01:20:51,120
Speaker 1: have antibody levels and so the next year you won't

1392
01:20:51,120 --> 01:20:53,479
Speaker 1: have any HD problem no matter what, because they're all

1393
01:20:53,479 --> 01:20:57,519
Speaker 1: pretty well protected with with the immunity to that. Here's this,

1394
01:20:57,520 --> 01:20:59,640
Speaker 1: This seems like a paradox. Maybe you explained us to

1395
01:20:59,640 --> 01:21:03,160
Speaker 1: me e h D. This isn't the paradox. But this

1396
01:21:03,200 --> 01:21:04,720
Speaker 1: I'll get to the paradox a minute, Like e h

1397
01:21:04,840 --> 01:21:06,799
Speaker 1: D is spread from deer to dear by a biting

1398
01:21:06,840 --> 01:21:09,240
Speaker 1: midge ka like a bite the same way you might

1399
01:21:09,240 --> 01:21:12,280
Speaker 1: get humans might get malaria, right, like mosquito goes to

1400
01:21:12,360 --> 01:21:16,439
Speaker 1: one person and they move and infectious is not animal animal.

1401
01:21:16,479 --> 01:21:19,880
Speaker 1: But from that person to the next, why is drought bad?

1402
01:21:20,160 --> 01:21:23,920
Speaker 1: It seems like wet year would make more midge because

1403
01:21:23,920 --> 01:21:26,200
Speaker 1: it's like an aquatic thing, Like a wet year would

1404
01:21:26,240 --> 01:21:28,320
Speaker 1: make more midges out on the landscape. And then some

1405
01:21:28,360 --> 01:21:31,640
Speaker 1: people say, well, it's because it concentrates. I think that's it.

1406
01:21:31,720 --> 01:21:34,040
Speaker 1: That's what I've always heard. It's the concentration you have.

1407
01:21:34,400 --> 01:21:37,759
Speaker 1: You have fewer water sources, you probably have fewer midges,

1408
01:21:37,800 --> 01:21:39,360
Speaker 1: but you have all of the deer and all of

1409
01:21:39,400 --> 01:21:41,680
Speaker 1: images all in the same location, and you can get

1410
01:21:41,680 --> 01:21:45,639
Speaker 1: that circulation, that concentration. Now, what what I had always

1411
01:21:45,680 --> 01:21:51,439
Speaker 1: heard is that the like real enemy pursuit guy, Yeah,

1412
01:21:51,479 --> 01:21:54,200
Speaker 1: the real enemy of deer hunters when it comes to the

1413
01:21:54,160 --> 01:21:56,120
Speaker 1: the h d S if you have a very wet

1414
01:21:56,240 --> 01:21:59,320
Speaker 1: year followed by a very dry year, because what really

1415
01:21:59,400 --> 01:22:02,479
Speaker 1: like gives it was midgies home and and boost their

1416
01:22:02,479 --> 01:22:05,080
Speaker 1: populations and makes white tail come in contact with them

1417
01:22:05,120 --> 01:22:07,519
Speaker 1: his long mud lines. So if you have like a

1418
01:22:07,600 --> 01:22:12,160
Speaker 1: super wet spring or a super wet and then a

1419
01:22:12,280 --> 01:22:15,880
Speaker 1: super dry summer or a super dry that's when you

1420
01:22:15,880 --> 01:22:18,360
Speaker 1: get these long mud lines where you get a lot

1421
01:22:18,400 --> 01:22:21,959
Speaker 1: of those biting midges at Yeah, they we found in Arizona.

1422
01:22:21,960 --> 01:22:26,200
Speaker 1: Actually they've documented that those little midges kulicity is very

1423
01:22:26,280 --> 01:22:31,160
Speaker 1: pennis can actually reproduce in the wetness of cactus a

1424
01:22:31,200 --> 01:22:35,000
Speaker 1: little bit of moisture like that. Let me hate you

1425
01:22:35,000 --> 01:22:36,920
Speaker 1: with this one. I have a question for Jim, and

1426
01:22:36,960 --> 01:22:40,160
Speaker 1: that is um is it seems as though e h

1427
01:22:40,280 --> 01:22:45,320
Speaker 1: D has been more of a southern Yeah, issue one,

1428
01:22:45,640 --> 01:22:50,120
Speaker 1: but and now it's it's it's more northern Great Plains. Yeah. Yeah, Well,

1429
01:22:50,160 --> 01:22:54,760
Speaker 1: and I mean it's reported um anecdotally by hunters in Wisconsin.

1430
01:22:54,840 --> 01:22:59,599
Speaker 1: But um uh, But but but why is that? Why

1431
01:22:59,640 --> 01:23:02,160
Speaker 1: is there cut off? Just I mean with the with

1432
01:23:02,240 --> 01:23:04,000
Speaker 1: the midge. I think it's I think it's a climate

1433
01:23:04,040 --> 01:23:07,360
Speaker 1: factor with with midges, and just where midge populations are,

1434
01:23:07,479 --> 01:23:09,360
Speaker 1: those kind of midge populations are, and you get too

1435
01:23:09,400 --> 01:23:11,439
Speaker 1: far north and you just don't have those kind of

1436
01:23:11,560 --> 01:23:15,800
Speaker 1: vector populations. And there they did Mississippi State University one

1437
01:23:15,800 --> 01:23:18,600
Speaker 1: time brought deer from Michigan down to Mississippi and they

1438
01:23:18,600 --> 01:23:21,200
Speaker 1: actually brought Mississippi deer and putting in depends in Michigan,

1439
01:23:21,479 --> 01:23:23,479
Speaker 1: and they found that the northern deer brought down to

1440
01:23:23,520 --> 01:23:28,360
Speaker 1: Mississippi had a very high mortality rate from information because

1441
01:23:28,439 --> 01:23:32,080
Speaker 1: northern deer didn't have antibodies or previous exposure at least

1442
01:23:32,080 --> 01:23:34,720
Speaker 1: two those strains. And there's two different types of h D.

1443
01:23:35,160 --> 01:23:38,320
Speaker 1: And there's about seven different zero types of blue tongue virus,

1444
01:23:38,360 --> 01:23:41,519
Speaker 1: which is another closely related emorrhagic disease. But when people

1445
01:23:41,560 --> 01:23:44,200
Speaker 1: know the blue tongue and e h D synonymously, that's

1446
01:23:44,240 --> 01:23:46,720
Speaker 1: not correct. That's not correct. Their different diseases. They just

1447
01:23:46,760 --> 01:23:50,040
Speaker 1: have kind of the same clinical symptoms. They're both emorrhagic diseases.

1448
01:23:50,160 --> 01:23:52,759
Speaker 1: They both spread by midges. Yes, and then the blue

1449
01:23:52,760 --> 01:23:56,400
Speaker 1: tongue is normally kind of a sheep pronghorn, antelope or

1450
01:23:56,439 --> 01:23:59,400
Speaker 1: should I just say antelope. We got one, I would

1451
01:23:59,400 --> 01:24:02,639
Speaker 1: go American something that was mad with I've switched. I've

1452
01:24:02,720 --> 01:24:05,360
Speaker 1: switched to prom I didn't get that worked up about

1453
01:24:05,360 --> 01:24:08,040
Speaker 1: the States fish and Game regulations have not they have.

1454
01:24:08,320 --> 01:24:10,800
Speaker 1: We have the Arizona Antelope Foundation. But the blue tongue

1455
01:24:10,840 --> 01:24:12,320
Speaker 1: is kind of an antelope cheap thing, and the e

1456
01:24:12,479 --> 01:24:14,120
Speaker 1: h D is more of a deer cow thing. For

1457
01:24:14,160 --> 01:24:18,120
Speaker 1: some reason, it separates that way. I got a question

1458
01:24:18,160 --> 01:24:20,720
Speaker 1: talk about one more thing on e h D. This

1459
01:24:20,800 --> 01:24:23,120
Speaker 1: person's game where someone wrote in their game ward and

1460
01:24:23,160 --> 01:24:27,879
Speaker 1: was saying that deformed hooves. You buy that. Yeah, absolutely,

1461
01:24:27,920 --> 01:24:30,120
Speaker 1: the hooves. When they get the h D and survive it,

1462
01:24:30,400 --> 01:24:32,439
Speaker 1: their hooves will slough off and they'll have a crack

1463
01:24:32,479 --> 01:24:34,880
Speaker 1: a line across those hoops. So you can in the

1464
01:24:34,920 --> 01:24:37,960
Speaker 1: fall just look at hunter harvested deer that comes through

1465
01:24:37,960 --> 01:24:40,640
Speaker 1: and you'll see some like stress lines and cracks on

1466
01:24:40,640 --> 01:24:42,960
Speaker 1: the hooves, and that's evidence that they had. Another interesting

1467
01:24:43,000 --> 01:24:45,679
Speaker 1: thing is too, is the hemorrhagic disease causes the hemorrhaging

1468
01:24:45,720 --> 01:24:48,559
Speaker 1: of all the tissues, including the testicles, and the bucks

1469
01:24:48,600 --> 01:24:52,040
Speaker 1: that have a lot of hemorrhaging and the testicles during

1470
01:24:52,080 --> 01:24:55,960
Speaker 1: the antler development period can produce cactus bucks. So so

1471
01:24:56,040 --> 01:25:00,040
Speaker 1: there's a veterinarian Karen Fox, who led some research that

1472
01:25:00,040 --> 01:25:05,160
Speaker 1: that documented not but what very clear that e h

1473
01:25:05,320 --> 01:25:10,840
Speaker 1: D was producing some cactus bucks. And everything he brings

1474
01:25:10,920 --> 01:25:20,000
Speaker 1: is great. You like Jim, he just liked my testical stories. Yeah,

1475
01:25:20,000 --> 01:25:22,400
Speaker 1: this guy says too. When he had a dough they

1476
01:25:22,400 --> 01:25:24,200
Speaker 1: had the different He sent a picture of the deformed

1477
01:25:24,240 --> 01:25:28,080
Speaker 1: hops with that crack in a curvature to him. He said,

1478
01:25:28,120 --> 01:25:30,479
Speaker 1: when I processed her, the meat was very dark and

1479
01:25:30,520 --> 01:25:34,839
Speaker 1: had a foul odor. Yeah, I read that. That's unusual.

1480
01:25:34,880 --> 01:25:39,760
Speaker 1: If the animals like viremic and hemorrhaging, I can absolutely see.

1481
01:25:40,040 --> 01:25:42,680
Speaker 1: But if it's an animal that survived, maybe it just

1482
01:25:42,720 --> 01:25:45,160
Speaker 1: still had some of those lingering effects of all that hemorrhaging.

1483
01:25:45,160 --> 01:25:47,439
Speaker 1: I don't know. You know, um, he brought up a thing.

1484
01:25:47,520 --> 01:25:49,200
Speaker 1: You know, you hear people say the dogs wouldn't even

1485
01:25:49,200 --> 01:25:50,680
Speaker 1: eat it. You know what was interesting is I was

1486
01:25:50,720 --> 01:25:53,720
Speaker 1: cleaning a coyote skull. I'd snared the coyote and was

1487
01:25:53,920 --> 01:25:56,519
Speaker 1: cleaning the skull up the other day. And usually when

1488
01:25:56,520 --> 01:25:58,439
Speaker 1: I do that, like with that clean beaver skulls or

1489
01:25:58,479 --> 01:26:02,040
Speaker 1: muskrat skulls, whatever, my dog like she knows the minute

1490
01:26:02,040 --> 01:26:04,000
Speaker 1: she can smell that simmer and pot like she knows

1491
01:26:04,040 --> 01:26:09,639
Speaker 1: what's coming. She would not eat that. Uh, you're gonna

1492
01:26:09,640 --> 01:26:11,639
Speaker 1: think I'm crazy, And I'll tell you this. She would

1493
01:26:11,640 --> 01:26:15,880
Speaker 1: not eat that Kylee head pickings. Okay, but it's sat

1494
01:26:15,880 --> 01:26:19,200
Speaker 1: in her bowl long enough. I'm not. I got eyewitnesses

1495
01:26:19,760 --> 01:26:23,960
Speaker 1: she ate. She drank the broth, but wouldn't eat the chunks,

1496
01:26:24,040 --> 01:26:26,320
Speaker 1: but she drank the broth out of the bowl and

1497
01:26:26,360 --> 01:26:29,040
Speaker 1: I'm not kidney man. Five minutes later, walked over by

1498
01:26:29,080 --> 01:26:32,439
Speaker 1: the kitchen table and puked. Wow, it's not a dog

1499
01:26:32,439 --> 01:26:39,120
Speaker 1: eat dog girl. Yeah, it was the weirdest thing. Dude,

1500
01:26:39,200 --> 01:26:43,519
Speaker 1: That dog never pukes. That dog eats you can eat.

1501
01:26:43,880 --> 01:26:47,280
Speaker 1: You wouldn't believe what that dog neat. Never pukes? Did

1502
01:26:47,320 --> 01:26:50,519
Speaker 1: she eat duck tongue? I put duck tongue in front

1503
01:26:50,520 --> 01:26:54,600
Speaker 1: of you pex space and he just guaranteed you know what.

1504
01:26:55,080 --> 01:26:58,200
Speaker 1: You know what a favorite snack is for the fur

1505
01:26:58,320 --> 01:27:01,840
Speaker 1: handler stew Miller, what his dog likes is, uh, the

1506
01:27:01,960 --> 01:27:04,920
Speaker 1: back feet on beavers. That's like a It's like a

1507
01:27:05,000 --> 01:27:08,519
Speaker 1: preferred chew toy for his dog and it gets days

1508
01:27:08,520 --> 01:27:11,400
Speaker 1: out of a beaver's back foot. Doug quickly h d

1509
01:27:12,439 --> 01:27:18,520
Speaker 1: H question for you if it's a widely held conviction.

1510
01:27:19,280 --> 01:27:23,880
Speaker 1: Did slowing the spread the uh? That's slowing the spread

1511
01:27:23,880 --> 01:27:31,760
Speaker 1: of C w D often involves lowering deer numbers? Yes, right,

1512
01:27:31,880 --> 01:27:35,559
Speaker 1: that like you'll like, contagion rates will fall if there's

1513
01:27:35,640 --> 01:27:38,919
Speaker 1: less dear having less contact. It's a widely held conviction

1514
01:27:38,920 --> 01:27:41,920
Speaker 1: in fact um in many states when there's a c

1515
01:27:42,120 --> 01:27:44,120
Speaker 1: w D outbreak. One of the first steps you take

1516
01:27:44,400 --> 01:27:47,719
Speaker 1: is it try to go into the hot zone reduced

1517
01:27:47,800 --> 01:27:51,840
Speaker 1: numbers to reduce spread and to and to make it

1518
01:27:51,960 --> 01:27:56,360
Speaker 1: the animals be less incentivized to strike off and do

1519
01:27:56,560 --> 01:27:59,640
Speaker 1: long journeys to find areas that aren't so crowded. Have

1520
01:27:59,800 --> 01:28:03,040
Speaker 1: you heard anyone is this? Is this a belief that

1521
01:28:03,080 --> 01:28:07,519
Speaker 1: anyone expresses that had you ever heard name, would be

1522
01:28:07,560 --> 01:28:12,880
Speaker 1: like e h D giving a real wallop to a

1523
01:28:12,960 --> 01:28:21,000
Speaker 1: deer population could be beneficial to really dramatically lowering a

1524
01:28:21,120 --> 01:28:25,680
Speaker 1: deer population, thereby perhaps slowing c w D spread. As

1525
01:28:25,680 --> 01:28:27,559
Speaker 1: anyone ever said this before, Am I the only person

1526
01:28:27,600 --> 01:28:32,080
Speaker 1: that ever like kicked around that correlation. Very uh smart

1527
01:28:32,120 --> 01:28:34,080
Speaker 1: man that I talked with this stuff about a lot

1528
01:28:34,439 --> 01:28:39,599
Speaker 1: um has has said that I mean, um, I summed

1529
01:28:39,600 --> 01:28:41,800
Speaker 1: it up in that e h D could do the

1530
01:28:41,840 --> 01:28:46,519
Speaker 1: work that UM hunters are not UM and because the

1531
01:28:46,680 --> 01:28:50,560
Speaker 1: h D is correct me if I'm wrong, Jim is uh,

1532
01:28:50,800 --> 01:28:55,920
Speaker 1: it's indiscriminate. It's going to kill across the across the population,

1533
01:28:56,040 --> 01:28:59,680
Speaker 1: so big giant bucks down to funds UM, which is

1534
01:28:59,800 --> 01:29:02,840
Speaker 1: part of what we need to do too. It's interesting

1535
01:29:02,920 --> 01:29:06,479
Speaker 1: because UM, some some hunters in my area and people

1536
01:29:06,520 --> 01:29:10,599
Speaker 1: that I know and anyway and know and and and

1537
01:29:10,600 --> 01:29:14,439
Speaker 1: and know them to be good people. UM have said, Oh,

1538
01:29:14,360 --> 01:29:16,280
Speaker 1: I at d h D in my place this year,

1539
01:29:16,320 --> 01:29:21,000
Speaker 1: if we found six UH deer around a little pond

1540
01:29:21,000 --> 01:29:24,439
Speaker 1: by and and that's been it's like wildfire through the

1541
01:29:24,560 --> 01:29:28,160
Speaker 1: local community. And I wonder if a part of that,

1542
01:29:28,200 --> 01:29:29,960
Speaker 1: I mean, I'm I don't question that he found six

1543
01:29:30,000 --> 01:29:33,240
Speaker 1: dead deer around his pond. I And and so then

1544
01:29:33,280 --> 01:29:35,360
Speaker 1: they're saying, well, it's h D. And I was like, well, okay,

1545
01:29:35,360 --> 01:29:37,559
Speaker 1: did the biologists come out and confirm that? And as

1546
01:29:37,600 --> 01:29:39,519
Speaker 1: I understand, you have to do that pretty quickly if

1547
01:29:39,520 --> 01:29:41,120
Speaker 1: you're going to catch the virus and all of that,

1548
01:29:41,200 --> 01:29:44,640
Speaker 1: so like seventy two hours or something like that. UM

1549
01:29:44,720 --> 01:29:48,799
Speaker 1: and so of course that they didn't. UM. I also

1550
01:29:48,920 --> 01:29:51,040
Speaker 1: know a couple of people who are spreading that to

1551
01:29:51,120 --> 01:29:56,120
Speaker 1: be very concerned about the UH policies UM and and

1552
01:29:56,120 --> 01:29:59,560
Speaker 1: and ideas that I'm working on to reduce deer population.

1553
01:30:00,120 --> 01:30:03,479
Speaker 1: They might be incentivized c h D. It's not c

1554
01:30:03,760 --> 01:30:06,679
Speaker 1: w D. Well that no, no, no, no, that UM, Well,

1555
01:30:06,720 --> 01:30:09,439
Speaker 1: we don't need to reduce the dear hold because h

1556
01:30:09,560 --> 01:30:13,799
Speaker 1: D is doing it for us, is doing it for you. Yeah,

1557
01:30:13,880 --> 01:30:15,800
Speaker 1: we'll get into some stats about c w D in

1558
01:30:15,800 --> 01:30:18,640
Speaker 1: your area in a minute here. Okay, you know what

1559
01:30:18,640 --> 01:30:21,439
Speaker 1: I was gonna mention Spen. You know, Spencer is like, um,

1560
01:30:21,479 --> 01:30:23,280
Speaker 1: I love Spencer. I want to say, well, I would

1561
01:30:23,280 --> 01:30:25,360
Speaker 1: become one of my favorite people. I wouldn't like the

1562
01:30:25,439 --> 01:30:31,280
Speaker 1: abows you. Spencer tries to Uh. Spencer tries to suppress

1563
01:30:32,960 --> 01:30:38,080
Speaker 1: information about c w D because he believes it's not sexy.

1564
01:30:38,520 --> 01:30:41,439
Speaker 1: Spencer believes that people are tired of hearing about it. Well,

1565
01:30:41,960 --> 01:30:44,920
Speaker 1: he tries to suppress it. He's right that it isn't

1566
01:30:45,120 --> 01:30:48,000
Speaker 1: isn't sexy. I think that what Spencer is trying to

1567
01:30:48,040 --> 01:30:51,320
Speaker 1: do is to keep things interesting and uh. And I

1568
01:30:51,360 --> 01:30:55,840
Speaker 1: think that's a healthy discussion about I think it's a

1569
01:30:55,840 --> 01:30:58,639
Speaker 1: healthy discussion. It's like, how much of this um should

1570
01:30:58,680 --> 01:31:00,719
Speaker 1: we be talking about? I can tell you this. Remember

1571
01:31:00,760 --> 01:31:03,160
Speaker 1: those commercials when you were a kid that said ignore

1572
01:31:03,200 --> 01:31:06,760
Speaker 1: your teeth and they'll go away. Remember that? Come on,

1573
01:31:06,880 --> 01:31:10,240
Speaker 1: you'll remember him? Right? No? No, I like it? Oh

1574
01:31:10,280 --> 01:31:12,160
Speaker 1: well I remember that. Maybe it's because where I grew

1575
01:31:12,240 --> 01:31:16,160
Speaker 1: up anyway, you know, ignore c w D and it

1576
01:31:16,200 --> 01:31:21,000
Speaker 1: won't go away. I'm turning that, you know, I think

1577
01:31:21,000 --> 01:31:23,360
Speaker 1: in bumper stickers. So that's good, yeah, you know, but

1578
01:31:23,439 --> 01:31:28,160
Speaker 1: the problem, I like the the problem with that slogan is, um,

1579
01:31:28,200 --> 01:31:30,439
Speaker 1: you're asking a lot of people because you're trying to

1580
01:31:30,479 --> 01:31:34,160
Speaker 1: get them to remember some ship that I don't remember. Right,

1581
01:31:35,160 --> 01:31:36,800
Speaker 1: keep working on you'll you'll call it a good one.

1582
01:31:37,400 --> 01:31:40,439
Speaker 1: Oh no, Doug already has it. Listen. I don't know

1583
01:31:40,439 --> 01:31:43,400
Speaker 1: if you guys know this. It's not ours, it's just

1584
01:31:43,479 --> 01:31:46,760
Speaker 1: our turn. Like Doug made that up. Nice, but he

1585
01:31:46,760 --> 01:31:49,599
Speaker 1: didn't make that up. I'm telling you, man, Spencer, you're

1586
01:31:49,600 --> 01:31:53,360
Speaker 1: good on Google. Google that I've done it. You go

1587
01:31:53,520 --> 01:31:57,320
Speaker 1: try to find I challenge you any other reference. You

1588
01:31:57,400 --> 01:32:02,200
Speaker 1: type that ship into Google. It's it's like a dug

1589
01:32:02,280 --> 01:32:07,160
Speaker 1: during festival for pages and pages and pages, and then

1590
01:32:07,200 --> 01:32:08,960
Speaker 1: you get to the end of the dug during stuff,

1591
01:32:09,080 --> 01:32:15,120
Speaker 1: it's a black hole. There's nothing, there's nothing. When Doug, like,

1592
01:32:15,320 --> 01:32:18,160
Speaker 1: Doug made that up? And did you make up pay

1593
01:32:18,200 --> 01:32:21,200
Speaker 1: for what give the give the rallying by time and

1594
01:32:21,240 --> 01:32:26,640
Speaker 1: pay for science? Did you make that up? Ye? Well yeah,

1595
01:32:26,840 --> 01:32:29,240
Speaker 1: I not heard it before. But that's what you know.

1596
01:32:29,360 --> 01:32:31,759
Speaker 1: Sort of the c w D thing, my my attitude

1597
01:32:31,760 --> 01:32:35,679
Speaker 1: about chronic wasting diseases that by for science and um,

1598
01:32:35,720 --> 01:32:38,040
Speaker 1: I mean that that encompasses an awful lot, doesn't it.

1599
01:32:38,080 --> 01:32:41,320
Speaker 1: I mean, let's slow the spread. Let's um let's um

1600
01:32:42,000 --> 01:32:46,839
Speaker 1: uh reduce prevalence in areas where exists, um let's preserve

1601
01:32:46,920 --> 01:32:50,519
Speaker 1: deer hunting in those areas. I'm Spencer has an open

1602
01:32:50,640 --> 01:32:53,639
Speaker 1: invitation to come to the farm and and deer hunt

1603
01:32:53,720 --> 01:32:55,679
Speaker 1: with me. And part of the reasons is that I'm

1604
01:32:55,720 --> 01:32:58,120
Speaker 1: just gonna like Lacey w D on him the whole

1605
01:32:58,160 --> 01:33:03,280
Speaker 1: time but set them up with But Cal was just

1606
01:33:03,400 --> 01:33:05,920
Speaker 1: there and Cal's like, you know, at some point, I mean,

1607
01:33:05,920 --> 01:33:08,640
Speaker 1: we had our CWD discussions and everything, but He's like,

1608
01:33:08,680 --> 01:33:11,400
Speaker 1: at some point you just deer on, Like yeah, I

1609
01:33:11,400 --> 01:33:14,640
Speaker 1: mean it's not like we're wandering around like c w D.

1610
01:33:14,800 --> 01:33:20,680
Speaker 1: You know, it's but you know, and so UM, I mean,

1611
01:33:20,760 --> 01:33:22,960
Speaker 1: at the end of the day, we've it's been around

1612
01:33:23,000 --> 01:33:26,040
Speaker 1: long enough by us, UM and I can talk about

1613
01:33:26,080 --> 01:33:28,920
Speaker 1: what's happened on our farm in our area. But that that,

1614
01:33:29,680 --> 01:33:31,479
Speaker 1: you know, it's it's sort of that new norm. Get

1615
01:33:31,560 --> 01:33:33,160
Speaker 1: used to it. I've got the information, I know what

1616
01:33:33,200 --> 01:33:35,240
Speaker 1: I'm supposed to do here. The things that we can do.

1617
01:33:35,600 --> 01:33:39,840
Speaker 1: I involved politically and um you know, as an activist

1618
01:33:40,360 --> 01:33:44,520
Speaker 1: about us not doing what we should be doing. Um,

1619
01:33:44,560 --> 01:33:47,720
Speaker 1: and uh, that's what concerns me more than anything. And

1620
01:33:47,760 --> 01:33:50,439
Speaker 1: that's like following the science. Well, let's follow the science,

1621
01:33:50,479 --> 01:33:53,080
Speaker 1: and the science says we need to be doing a

1622
01:33:53,120 --> 01:33:58,800
Speaker 1: better job of demographic control population control. Um. And we're

1623
01:33:58,840 --> 01:34:01,439
Speaker 1: not in Wisconsin, and we're really good. I mean, you

1624
01:34:01,479 --> 01:34:03,200
Speaker 1: can go into the Wisconsin d n R c w

1625
01:34:03,360 --> 01:34:05,920
Speaker 1: D webs website and go to c w D and

1626
01:34:06,439 --> 01:34:08,519
Speaker 1: dear Metrics and all of this, and we've got great

1627
01:34:08,560 --> 01:34:12,280
Speaker 1: information on there, and I applaud our Department Natural Resources

1628
01:34:12,320 --> 01:34:14,040
Speaker 1: for that. But what we don't do is a very

1629
01:34:14,040 --> 01:34:18,200
Speaker 1: good job. We don't at all of of doing anything

1630
01:34:18,240 --> 01:34:22,200
Speaker 1: to control it, mostly because it's not science, it's politics,

1631
01:34:22,200 --> 01:34:24,599
Speaker 1: which goes back to that discussion we were having earlier.

1632
01:34:26,360 --> 01:34:27,760
Speaker 1: You get mad at me a little bit, and I

1633
01:34:27,720 --> 01:34:29,880
Speaker 1: remember you got one of the times you got one

1634
01:34:29,880 --> 01:34:32,360
Speaker 1: of the times you got most mad at me, as

1635
01:34:32,400 --> 01:34:34,880
Speaker 1: I had expressed to you know, I had expressed, and

1636
01:34:34,880 --> 01:34:37,559
Speaker 1: you wrote me real mean email, like it's actually kind

1637
01:34:37,560 --> 01:34:39,880
Speaker 1: of like a mean email. I was piste off and

1638
01:34:40,720 --> 01:34:44,240
Speaker 1: I had said I had said something to the effect

1639
01:34:44,280 --> 01:34:49,960
Speaker 1: of if I wasn't worried about potential transmission to humans

1640
01:34:50,320 --> 01:34:53,280
Speaker 1: down the road, that that that this thing would mutate

1641
01:34:53,880 --> 01:34:56,320
Speaker 1: and spread the humans or spread the livestock. No, I

1642
01:34:56,320 --> 01:35:01,400
Speaker 1: didn't even bring up livestock humans that that my obsession

1643
01:35:01,479 --> 01:35:04,160
Speaker 1: with concerned about c w D. I didn't put it

1644
01:35:04,240 --> 01:35:07,080
Speaker 1: quite this way, but would fall like like if God

1645
01:35:07,200 --> 01:35:10,680
Speaker 1: came down and said, listen, bro, no human will ever

1646
01:35:10,680 --> 01:35:16,840
Speaker 1: get c w D. I would feel my concerns would

1647
01:35:16,840 --> 01:35:19,880
Speaker 1: be alleviated. And Doug sent me big old oh my,

1648
01:35:19,960 --> 01:35:22,479
Speaker 1: you got personal in it. It's like a metal email

1649
01:35:22,720 --> 01:35:28,040
Speaker 1: me and um a side note, Pat Durkin has told

1650
01:35:28,080 --> 01:35:30,960
Speaker 1: me that I need to get a speaking of developing apps,

1651
01:35:31,000 --> 01:35:33,360
Speaker 1: that it makes your text message sound nicer. Know that

1652
01:35:33,400 --> 01:35:35,639
Speaker 1: I need to get an app that once I start

1653
01:35:35,680 --> 01:35:39,000
Speaker 1: typing ship like that, that it will not allow me

1654
01:35:39,120 --> 01:35:41,439
Speaker 1: to send it until my blood pressure goes down and

1655
01:35:41,439 --> 01:35:44,320
Speaker 1: I have a chance to review it. Dog even had

1656
01:35:44,360 --> 01:35:49,840
Speaker 1: like a threat to me. He's like basically like really, no,

1657
01:35:49,960 --> 01:35:51,759
Speaker 1: you're not that you're gonna come beat me up or anything,

1658
01:35:52,040 --> 01:35:54,360
Speaker 1: But it was like a threat like, um, one, you know,

1659
01:35:55,400 --> 01:36:01,479
Speaker 1: one sentence like that can destroy decades of We're can well,

1660
01:36:01,560 --> 01:36:07,439
Speaker 1: I think that's he's gonna down he get the hook

1661
01:36:07,520 --> 01:36:14,800
Speaker 1: that app up to your mouth. Uh, Jim Uh, I

1662
01:36:14,800 --> 01:36:16,760
Speaker 1: want to get back to just some stuff about Wisconsin.

1663
01:36:17,000 --> 01:36:19,360
Speaker 1: Um and they like, I want to talk about seed

1664
01:36:19,520 --> 01:36:22,600
Speaker 1: with with Jim's gonna talk about a new outbreak, like

1665
01:36:22,640 --> 01:36:24,759
Speaker 1: a new state added to the long list of states

1666
01:36:24,760 --> 01:36:27,160
Speaker 1: and now have c w d Um this will speak

1667
01:36:27,160 --> 01:36:30,040
Speaker 1: to Ross Ross being from Idaho. Jim's gonna talk about that.

1668
01:36:30,280 --> 01:36:32,080
Speaker 1: And then and Doug, I want to get like kind

1669
01:36:32,080 --> 01:36:35,240
Speaker 1: of anecdotal and local and talk about like in your

1670
01:36:35,320 --> 01:36:40,000
Speaker 1: neck of the woods, what's going on, Like like, how

1671
01:36:40,120 --> 01:36:42,400
Speaker 1: is deer hunting just getting different? And I think it's

1672
01:36:42,400 --> 01:36:43,880
Speaker 1: gonna be like an alarm but let him do the

1673
01:36:43,880 --> 01:36:48,680
Speaker 1: Idaho deal. But but collect your thoughts sort of. Deer

1674
01:36:48,720 --> 01:36:51,479
Speaker 1: hunton is just different now man, And and I think

1675
01:36:51,479 --> 01:36:55,920
Speaker 1: that this difference is going to become more widespread over time,

1676
01:36:55,920 --> 01:36:57,000
Speaker 1: and there's gonna be a lot of help, a lot

1677
01:36:57,040 --> 01:37:01,200
Speaker 1: more stories like Doug story from the last couple of

1678
01:37:02,160 --> 01:37:05,519
Speaker 1: deer seasons in Wisconsin. But it hit us first like Idaho,

1679
01:37:05,560 --> 01:37:07,120
Speaker 1: Like how's this happen all of a sudden someone in

1680
01:37:07,200 --> 01:37:10,639
Speaker 1: Idholes like, holy ship, this year's got CWD. Yeah, CWD spreading,

1681
01:37:10,880 --> 01:37:13,160
Speaker 1: you know, increasing in prevalence where it is, and prevalence

1682
01:37:13,200 --> 01:37:15,280
Speaker 1: is a percent of the animals in the population that

1683
01:37:15,760 --> 01:37:18,240
Speaker 1: is positive, and it and it's spreading, and Idaho just

1684
01:37:18,360 --> 01:37:21,760
Speaker 1: joined the CWD club, being the seven state with the

1685
01:37:21,880 --> 01:37:24,519
Speaker 1: CWD positive. What was interesting about Idaho is it was

1686
01:37:24,520 --> 01:37:27,639
Speaker 1: found on the western side of the state and there's

1687
01:37:27,640 --> 01:37:30,759
Speaker 1: no CDWD yet in Washington in those states to the west,

1688
01:37:30,960 --> 01:37:33,960
Speaker 1: but there's CWD crowding in on three sides from Wyoming

1689
01:37:33,960 --> 01:37:36,880
Speaker 1: and Utah and Montana coming in from the east side.

1690
01:37:36,880 --> 01:37:39,720
Speaker 1: So it's really interesting that this first incident was two

1691
01:37:39,760 --> 01:37:42,280
Speaker 1: bucks that were harvested in October this year in on

1692
01:37:42,360 --> 01:37:44,479
Speaker 1: the west side of the state there night, So it's

1693
01:37:44,520 --> 01:37:46,599
Speaker 1: all over. I mean, I think it's gotta be. There's

1694
01:37:46,600 --> 01:37:49,000
Speaker 1: gonna be a lot of filling in the hole, filling

1695
01:37:49,040 --> 01:37:50,800
Speaker 1: in the gap, and that might be what's going on

1696
01:37:50,880 --> 01:37:53,320
Speaker 1: here because they just developed a new CWD plan for

1697
01:37:53,360 --> 01:37:55,960
Speaker 1: the state in one and part of that was we're

1698
01:37:55,960 --> 01:37:58,760
Speaker 1: gonna test the Panhandle in the northern tip every year,

1699
01:37:58,760 --> 01:38:00,519
Speaker 1: and we're gonna test two unit it's over on the

1700
01:38:00,560 --> 01:38:03,360
Speaker 1: eastern border every year because that's where we expected to

1701
01:38:03,400 --> 01:38:05,519
Speaker 1: come from. And then there's three other units in the

1702
01:38:05,520 --> 01:38:07,760
Speaker 1: rest of the state they're going to rotate. And and

1703
01:38:07,840 --> 01:38:10,439
Speaker 1: so the first year they tested this one unit that

1704
01:38:10,640 --> 01:38:12,639
Speaker 1: was going to rotate, like it just kind of thrown

1705
01:38:12,640 --> 01:38:14,799
Speaker 1: in like a fluke. Yeah, And so they just started

1706
01:38:14,800 --> 01:38:16,599
Speaker 1: testing there and and they found it. And the fact

1707
01:38:16,640 --> 01:38:18,360
Speaker 1: that it's on the west side of the state, I

1708
01:38:18,400 --> 01:38:21,080
Speaker 1: would expect them to be filling in the blanks once

1709
01:38:21,080 --> 01:38:23,559
Speaker 1: they start sam playing a little more. I've never got

1710
01:38:23,560 --> 01:38:25,200
Speaker 1: your perspect on you know what I was saying about

1711
01:38:25,320 --> 01:38:30,320
Speaker 1: the human in faction risk? Do you uh, where do

1712
01:38:30,360 --> 01:38:33,439
Speaker 1: you fall on it? Personally, I've never killed a deer

1713
01:38:33,479 --> 01:38:35,400
Speaker 1: that was CT depositives, so I've never had to make

1714
01:38:35,439 --> 01:38:39,439
Speaker 1: the decision. Um. I think about four decades of people

1715
01:38:39,479 --> 01:38:42,120
Speaker 1: in the Northern Rockies eating CW depositive deer and it's

1716
01:38:42,120 --> 01:38:44,519
Speaker 1: never jumped the human barrier into humans. That gives me

1717
01:38:44,560 --> 01:38:47,880
Speaker 1: a lot of comfort. Um. But the CDC and and

1718
01:38:48,040 --> 01:38:53,400
Speaker 1: UM World Health Organization recommend that nothing that's been positive

1719
01:38:53,400 --> 01:38:56,000
Speaker 1: with prions enter the human food chain. And the CDC

1720
01:38:56,160 --> 01:38:58,479
Speaker 1: recommends you you throw the deer out, And so I

1721
01:38:58,560 --> 01:39:00,800
Speaker 1: know those are recommendations. Are guys a little jumpie though?

1722
01:39:00,840 --> 01:39:03,559
Speaker 1: I feel I think it's a personal decision. I I

1723
01:39:03,600 --> 01:39:08,120
Speaker 1: would probably not have any qualms eating one myself. It

1724
01:39:08,160 --> 01:39:11,400
Speaker 1: was positive because of four decades of pretty high incidents

1725
01:39:11,400 --> 01:39:14,200
Speaker 1: in Wyoming, Colorado, and nobody's gotten sick. But if you've

1726
01:39:14,200 --> 01:39:16,599
Speaker 1: got little kids around the table, got a wife, maybe

1727
01:39:16,600 --> 01:39:19,680
Speaker 1: a pregnant wife, it's kind of a different conversation, and

1728
01:39:19,720 --> 01:39:23,759
Speaker 1: it's a personal decision. I agree, and I talked about

1729
01:39:23,760 --> 01:39:26,599
Speaker 1: this more often than I wanted to, and certainly more

1730
01:39:26,960 --> 01:39:31,559
Speaker 1: than Spencer wants me to. But um, it is a

1731
01:39:31,600 --> 01:39:36,000
Speaker 1: personal decision. And what I've been finding is um that

1732
01:39:36,120 --> 01:39:38,120
Speaker 1: people who are gonna eat it anyway don't get their

1733
01:39:38,160 --> 01:39:43,599
Speaker 1: dear tested um. And so that's a little troubling in that, yeah,

1734
01:39:43,680 --> 01:39:48,560
Speaker 1: you've got I would never I I have killed a

1735
01:39:48,600 --> 01:39:51,760
Speaker 1: CW depositive deer um. Actually the one that I killed,

1736
01:39:51,760 --> 01:39:54,840
Speaker 1: a friend of mine took it um and uh he

1737
01:39:54,960 --> 01:39:58,640
Speaker 1: ended up eating it, and uh I already had you know,

1738
01:39:58,680 --> 01:40:00,759
Speaker 1: Freeze was the first one that I that was positive.

1739
01:40:00,800 --> 01:40:04,200
Speaker 1: But anyway, I personally am am not. I have chosen

1740
01:40:04,320 --> 01:40:07,160
Speaker 1: not to, although even though we have are having positive

1741
01:40:07,200 --> 01:40:09,760
Speaker 1: deer on the farm, none of them are ones that

1742
01:40:09,840 --> 01:40:14,280
Speaker 1: I have um um butchered and kept for myself, which

1743
01:40:14,280 --> 01:40:15,960
Speaker 1: is also a behavior thing. That we can talk about.

1744
01:40:16,000 --> 01:40:20,400
Speaker 1: But um, I'm keeping younger dear um ones that are

1745
01:40:21,120 --> 01:40:23,160
Speaker 1: that I used to think were less likely to to

1746
01:40:23,240 --> 01:40:27,360
Speaker 1: have the disease. Um. Uh but yeah, I mean, don't

1747
01:40:27,960 --> 01:40:30,599
Speaker 1: you know, if you want to, it's a personal decision

1748
01:40:30,640 --> 01:40:32,799
Speaker 1: to do it, But don't make that decision for somebody else,

1749
01:40:33,439 --> 01:40:35,960
Speaker 1: and don't make it that decision for children. I just

1750
01:40:36,760 --> 01:40:39,640
Speaker 1: I mean, is it an abundance of caution or is

1751
01:40:39,680 --> 01:40:41,400
Speaker 1: it just being a good person. I think it's a

1752
01:40:41,439 --> 01:40:44,559
Speaker 1: little of both. You know, lay lay out a little

1753
01:40:44,560 --> 01:40:47,960
Speaker 1: bit about what, like just what you're seeing. I mean,

1754
01:40:47,960 --> 01:40:55,240
Speaker 1: because you're you mentioned that you describe yourself as an activista, like, uh,

1755
01:40:55,360 --> 01:41:00,280
Speaker 1: you're not an academic. Um, you're interested in CWD because

1756
01:41:00,280 --> 01:41:03,640
Speaker 1: you've lived c w D now for twenty years on

1757
01:41:03,720 --> 01:41:06,320
Speaker 1: a place, Like you've lived c w D for twenty

1758
01:41:06,400 --> 01:41:09,479
Speaker 1: years on a place that's been in your family for

1759
01:41:09,520 --> 01:41:13,080
Speaker 1: a century. So like you you're sort of like living

1760
01:41:13,080 --> 01:41:14,920
Speaker 1: it in real time, meaning like when you look out

1761
01:41:14,920 --> 01:41:17,320
Speaker 1: the window or drive around on your property, it's a

1762
01:41:17,400 --> 01:41:20,479
Speaker 1: thing that and it's become And I don't want to

1763
01:41:20,479 --> 01:41:24,080
Speaker 1: say like yeah, like you're not obsessed with it, But

1764
01:41:24,800 --> 01:41:26,439
Speaker 1: I don't know, man, what was the last time you

1765
01:41:26,479 --> 01:41:31,400
Speaker 1: went a day without saying c w D well in

1766
01:41:31,439 --> 01:41:33,720
Speaker 1: the fall, not very often. I can't, I could, I

1767
01:41:33,720 --> 01:41:36,799
Speaker 1: couldn't even tell you. But you know, it's interesting because

1768
01:41:37,439 --> 01:41:39,760
Speaker 1: I wrote an article a couple of articles for for

1769
01:41:39,800 --> 01:41:41,519
Speaker 1: Meat Eater, and they're out there and you can check

1770
01:41:41,560 --> 01:41:43,960
Speaker 1: them out. And UM. Part of his why one of

1771
01:41:44,160 --> 01:41:46,479
Speaker 1: was why every hunter And in fact, I said why

1772
01:41:46,520 --> 01:41:49,880
Speaker 1: everyone should be concerned about c w D UM from

1773
01:41:49,960 --> 01:41:52,200
Speaker 1: all the way from the animal rights or animal welfare

1774
01:41:52,280 --> 01:41:56,760
Speaker 1: people down to big giant buck uh, trophy hunters. UM.

1775
01:41:56,880 --> 01:41:59,800
Speaker 1: And then what we can do about it? Um? And

1776
01:42:00,040 --> 01:42:04,120
Speaker 1: I I have seen the change, and I'll be perfectly

1777
01:42:04,120 --> 01:42:07,040
Speaker 1: honest with you when CBD. Firstly, first, you know, I

1778
01:42:07,120 --> 01:42:09,120
Speaker 1: was discovered in Wisconsin. Had the dn R knocked on

1779
01:42:09,160 --> 01:42:10,920
Speaker 1: my door and said, we gotta kill every day in

1780
01:42:10,920 --> 01:42:13,760
Speaker 1: the area. UM, and your farm is right in the

1781
01:42:13,760 --> 01:42:16,360
Speaker 1: middle of that area, so let's get started. I had.

1782
01:42:16,520 --> 01:42:21,040
Speaker 1: I've been skeptical, you know, And yeah, I mean that's

1783
01:42:21,040 --> 01:42:24,040
Speaker 1: what they wanted to do in the eradication zone and

1784
01:42:24,080 --> 01:42:26,599
Speaker 1: they and they tried real hard to do that. And

1785
01:42:26,720 --> 01:42:28,679
Speaker 1: I started having questions like, well, why is it here,

1786
01:42:28,840 --> 01:42:31,320
Speaker 1: Why is it here? Why is this the hot zone,

1787
01:42:31,360 --> 01:42:33,360
Speaker 1: and I don't think we've ever really gotten that the

1788
01:42:33,360 --> 01:42:35,320
Speaker 1: answer to that question. Wisconsin, There's been a lot of

1789
01:42:35,320 --> 01:42:39,680
Speaker 1: speculation and there have been a few people that I

1790
01:42:39,760 --> 01:42:43,120
Speaker 1: know and mostly trust, who have you know who anecdotally

1791
01:42:43,160 --> 01:42:44,559
Speaker 1: I've talked about some of the things that went on

1792
01:42:44,600 --> 01:42:46,000
Speaker 1: down there, and I guess I don't want to get

1793
01:42:46,040 --> 01:42:49,320
Speaker 1: too deep into that. The weeds on that. I don't

1794
01:42:49,880 --> 01:42:51,760
Speaker 1: I understand what you're saying right now, like why how

1795
01:42:51,800 --> 01:42:54,720
Speaker 1: did it start? And how did it start in the

1796
01:42:54,760 --> 01:42:59,080
Speaker 1: Mount Horrible area? Um that why was it first discovered there?

1797
01:42:59,120 --> 01:43:01,720
Speaker 1: The reason you know, this is a farm analogy. If

1798
01:43:01,760 --> 01:43:03,559
Speaker 1: you see one rat, you got a hundred of them.

1799
01:43:04,520 --> 01:43:07,760
Speaker 1: And there they found they saw a sick deer and

1800
01:43:07,840 --> 01:43:10,960
Speaker 1: tested it for c w D and then realized and

1801
01:43:10,960 --> 01:43:12,920
Speaker 1: then they had been doing surveillance for a while, and

1802
01:43:12,920 --> 01:43:17,040
Speaker 1: surveillance testing is a really interesting thing, um to me. Um.

1803
01:43:17,120 --> 01:43:19,320
Speaker 1: And then they found that it was a little more widespread,

1804
01:43:19,360 --> 01:43:20,840
Speaker 1: but the prevalence was really low. I mean, do you

1805
01:43:20,920 --> 01:43:22,519
Speaker 1: remember what those gus where it was, you know, like

1806
01:43:22,560 --> 01:43:28,519
Speaker 1: in the single digit percentages, um. Um. But what's been

1807
01:43:28,560 --> 01:43:33,320
Speaker 1: interesting to me about living with it asking that question is, um,

1808
01:43:33,400 --> 01:43:38,320
Speaker 1: what we've discovered up until four years ago. Uh, we

1809
01:43:38,400 --> 01:43:43,880
Speaker 1: had no um positives. And we've been testing what was

1810
01:43:43,920 --> 01:43:47,880
Speaker 1: recommended the during the in our area and the during

1811
01:43:47,920 --> 01:43:50,760
Speaker 1: family farm. We hadn't had a positive. And we were

1812
01:43:50,760 --> 01:43:52,719
Speaker 1: testing every deer that they would allow us to test,

1813
01:43:52,760 --> 01:43:55,760
Speaker 1: and they were skewing it towards older deer, which to

1814
01:43:55,840 --> 01:43:58,080
Speaker 1: the minds of the biologists, were the ones that were

1815
01:43:58,120 --> 01:44:01,960
Speaker 1: most apt to have it. We started having four years

1816
01:44:01,960 --> 01:44:04,160
Speaker 1: ago when we started, which was about the time I

1817
01:44:04,240 --> 01:44:07,000
Speaker 1: quit doing buck management and all of that, um you know,

1818
01:44:07,320 --> 01:44:10,040
Speaker 1: uh retired to Sombrero when all those all those things.

1819
01:44:10,360 --> 01:44:13,840
Speaker 1: Um uh Can I tell people what that means? You

1820
01:44:14,000 --> 01:44:17,320
Speaker 1: you were running like on on your family farm. You

1821
01:44:17,320 --> 01:44:19,719
Speaker 1: guys are running a program of like trying to grow

1822
01:44:20,720 --> 01:44:23,599
Speaker 1: big bucks. Yeah, we were doing like let let let

1823
01:44:23,600 --> 01:44:25,800
Speaker 1: bucks walk and let them grow up big Yeah, and

1824
01:44:25,840 --> 01:44:28,759
Speaker 1: shooting does the whole time. Though. Oh yeah, we've we've always,

1825
01:44:29,120 --> 01:44:32,519
Speaker 1: I mean for the last twenty five years. Really we've been, um,

1826
01:44:32,680 --> 01:44:37,120
Speaker 1: we've been dough killers. Um uh. And remember that I

1827
01:44:37,160 --> 01:44:40,080
Speaker 1: when I grew up, when when I first started hunting

1828
01:44:40,080 --> 01:44:43,280
Speaker 1: in Wisconsin, four four hunters had to get together in

1829
01:44:43,320 --> 01:44:47,160
Speaker 1: August by their license tear a little tag off, write

1830
01:44:47,160 --> 01:44:49,080
Speaker 1: their name on it, their number, sent it in with

1831
01:44:49,160 --> 01:44:52,360
Speaker 1: some money to the DNR and apply for one dough tag,

1832
01:44:52,600 --> 01:44:54,920
Speaker 1: party permit, party permitter. Remember you had the badges said

1833
01:44:54,960 --> 01:44:56,960
Speaker 1: you were on your arm and things kind of, but

1834
01:44:57,040 --> 01:44:58,960
Speaker 1: you got to kill you got to kill one dough

1835
01:44:59,000 --> 01:45:01,840
Speaker 1: with that. Now when Mike Tony with every buck tag,

1836
01:45:01,880 --> 01:45:05,080
Speaker 1: you get four dough takes. So that's in fifty years.

1837
01:45:05,200 --> 01:45:08,479
Speaker 1: This is my fiftieth year of hunting. Um that uh,

1838
01:45:08,680 --> 01:45:11,400
Speaker 1: that's how much it switched, you know, in terms of

1839
01:45:11,439 --> 01:45:13,920
Speaker 1: population and management and stuff like that. It's just it's

1840
01:45:13,920 --> 01:45:16,040
Speaker 1: an important thing. When people say, oh, I'm concerned about

1841
01:45:16,080 --> 01:45:17,719
Speaker 1: how few deer we have, am like, well, you should

1842
01:45:17,720 --> 01:45:23,560
Speaker 1: have been around and nineteen seventy one, um and uh

1843
01:45:23,600 --> 01:45:27,120
Speaker 1: so um what we ended up finding then when we

1844
01:45:27,160 --> 01:45:29,320
Speaker 1: got our first positive it was a two and a

1845
01:45:29,360 --> 01:45:33,519
Speaker 1: half year old buck and in four years were supposed

1846
01:45:33,560 --> 01:45:37,880
Speaker 1: to let walk. Yeah, but we already but I I had,

1847
01:45:37,920 --> 01:45:41,439
Speaker 1: oh yeah, I had already said that those all bets

1848
01:45:41,439 --> 01:45:43,200
Speaker 1: are off on that shoot. Whatever dear is gonna make

1849
01:45:43,200 --> 01:45:45,040
Speaker 1: you happy, And you know, I just I got tired

1850
01:45:45,080 --> 01:45:46,840
Speaker 1: of well, I mean you remember we had a little

1851
01:45:46,840 --> 01:45:49,000
Speaker 1: incident where managing people gets to be a pain in

1852
01:45:49,000 --> 01:45:51,880
Speaker 1: the button. Somebody was offended that I said something about

1853
01:45:51,920 --> 01:45:58,000
Speaker 1: our program um on the on on the podcast, and uh, anyway,

1854
01:45:58,040 --> 01:45:59,759
Speaker 1: I just like, you know there for a lot of reasons,

1855
01:45:59,760 --> 01:46:01,719
Speaker 1: and of them being I don't want to manage people anymore.

1856
01:46:01,720 --> 01:46:03,280
Speaker 1: I just want to hunt deer and want people to

1857
01:46:03,280 --> 01:46:06,920
Speaker 1: be happy. And oh, by the way, we have a

1858
01:46:07,000 --> 01:46:09,400
Speaker 1: situation here where we need to be more aware of

1859
01:46:09,560 --> 01:46:15,120
Speaker 1: what's what's going on. So that's uh in younger dear behavior.

1860
01:46:15,120 --> 01:46:17,800
Speaker 1: And Jim's gonna just tell me to shut up when

1861
01:46:17,800 --> 01:46:20,040
Speaker 1: it's time for me to shut up. Younger deer tend

1862
01:46:20,040 --> 01:46:22,080
Speaker 1: to be the ones that travel friends from their home range.

1863
01:46:22,720 --> 01:46:25,840
Speaker 1: So when we first started getting positive geer four years ago,

1864
01:46:25,880 --> 01:46:27,920
Speaker 1: our five first five year were a year and a

1865
01:46:27,920 --> 01:46:30,439
Speaker 1: half old buck Um, a two and a half to

1866
01:46:30,560 --> 01:46:32,760
Speaker 1: two and a half year old bucks, a year and

1867
01:46:32,800 --> 01:46:36,160
Speaker 1: a half old Dough, and a three year old dough.

1868
01:46:36,520 --> 01:46:39,120
Speaker 1: Those were our first five in four years. And those

1869
01:46:39,160 --> 01:46:41,280
Speaker 1: are aged by people who are actually aging dear, not

1870
01:46:41,320 --> 01:46:46,280
Speaker 1: guys looking at like it's yeah, you know, that's no, no, no, no,

1871
01:46:46,400 --> 01:46:49,080
Speaker 1: that's being aged with the you know, the tooth charts

1872
01:46:49,200 --> 01:46:53,040
Speaker 1: at the CWD testation um and so that kind of

1873
01:46:53,080 --> 01:46:55,000
Speaker 1: told me and at the same time, and that in

1874
01:46:55,000 --> 01:46:57,080
Speaker 1: those twenty deer, at the same time, we were killing

1875
01:46:57,120 --> 01:46:58,720
Speaker 1: five and a half year old Bucks and four and

1876
01:46:58,720 --> 01:47:00,679
Speaker 1: a half year old Bucks and sick year old dose

1877
01:47:00,840 --> 01:47:04,439
Speaker 1: and so our our dear quote unquote, um on are

1878
01:47:04,560 --> 01:47:06,800
Speaker 1: the ones that we're sort of our core deer. We

1879
01:47:07,040 --> 01:47:10,080
Speaker 1: didn't we're not CWD positive. Interesting, but they but the

1880
01:47:10,160 --> 01:47:14,040
Speaker 1: year links that were dispersing into your area, we're bringing it. So,

1881
01:47:14,200 --> 01:47:16,479
Speaker 1: I mean that's what I anecdotally, and I guess the

1882
01:47:17,120 --> 01:47:21,599
Speaker 1: biologists are agreeing with me now um or they agreed

1883
01:47:21,640 --> 01:47:24,839
Speaker 1: with me. I'm agreeing with what the My anecdotal evidence

1884
01:47:25,280 --> 01:47:29,800
Speaker 1: follows the what the what they're what they're saying. Um So,

1885
01:47:30,000 --> 01:47:33,680
Speaker 1: in four years and twenty deer, we had five positive.

1886
01:47:34,120 --> 01:47:37,160
Speaker 1: This year we've received hit me that again, I didn't

1887
01:47:37,200 --> 01:47:39,200
Speaker 1: catch it undred and twenty deer over a four year

1888
01:47:39,280 --> 01:47:42,479
Speaker 1: period of time that you tested. Yeah, we had every year.

1889
01:47:42,560 --> 01:47:44,679
Speaker 1: We once we could test every year. We have tested

1890
01:47:44,680 --> 01:47:49,240
Speaker 1: every year. I mean even you were there the last time. Yeah,

1891
01:47:49,320 --> 01:47:51,040
Speaker 1: just fun to make sure that. I just wanted to

1892
01:47:51,120 --> 01:47:53,320
Speaker 1: catch the span of time in the number. Yeah. So

1893
01:47:53,400 --> 01:47:56,120
Speaker 1: we average about that. We have been averaging about thirty

1894
01:47:56,160 --> 01:48:00,280
Speaker 1: deer harvested a year um on our four and then

1895
01:48:00,320 --> 01:48:02,600
Speaker 1: the you know, surrounding property they also have, I'll be

1896
01:48:02,640 --> 01:48:06,680
Speaker 1: able to hunt. Um. So, uh five deer out of

1897
01:48:06,680 --> 01:48:09,400
Speaker 1: a hundred twenties, somebody can do. The man that you

1898
01:48:09,479 --> 01:48:12,519
Speaker 1: host a hell of a lot of hunters. Yeah. Generally

1899
01:48:12,560 --> 01:48:17,639
Speaker 1: over thirty people deer hunt our place every year, um um.

1900
01:48:17,720 --> 01:48:21,240
Speaker 1: And we are at deer right now, and we have

1901
01:48:21,280 --> 01:48:25,599
Speaker 1: another we have bow hunting, you know, late season bow hunting,

1902
01:48:25,600 --> 01:48:27,719
Speaker 1: and we also have the holiday hunt antler less hunt

1903
01:48:27,720 --> 01:48:30,519
Speaker 1: coming up. Yet you get there, well, we will hit thirty.

1904
01:48:30,560 --> 01:48:32,080
Speaker 1: I mean I was, you know, people ask me what's

1905
01:48:32,080 --> 01:48:36,040
Speaker 1: your number, and I was like, don't stop shooting? Um

1906
01:48:36,120 --> 01:48:39,160
Speaker 1: And And honestly, I have eleven trail cameras out and

1907
01:48:39,200 --> 01:48:41,479
Speaker 1: they all come to a there's a cell set up,

1908
01:48:41,520 --> 01:48:42,920
Speaker 1: and they all come to one. And I get that.

1909
01:48:43,040 --> 01:48:45,080
Speaker 1: And we have killed twenty nine geer on our farm.

1910
01:48:45,120 --> 01:48:47,120
Speaker 1: And you cannot tell the difference on the cell cameras

1911
01:48:47,400 --> 01:48:49,280
Speaker 1: the rate of photos coming in. Yeah, the rate of

1912
01:48:49,320 --> 01:48:52,519
Speaker 1: photos coming in. And I mean sure that buck isn't

1913
01:48:52,520 --> 01:48:58,680
Speaker 1: shown up anymore because dad. But uh so, anyway, so

1914
01:48:58,880 --> 01:49:01,479
Speaker 1: five deer in four years a hundred and twenty over

1915
01:49:01,520 --> 01:49:03,320
Speaker 1: four year period of time, so one or two a year,

1916
01:49:03,439 --> 01:49:06,519
Speaker 1: you know, not really uh, um, so four percent four

1917
01:49:06,560 --> 01:49:08,840
Speaker 1: point five percent or something like that, which I'm like,

1918
01:49:09,080 --> 01:49:10,920
Speaker 1: let's keep it at that, which is sort of what

1919
01:49:10,960 --> 01:49:14,320
Speaker 1: our management strategy has been this year. We've killed twenty

1920
01:49:14,400 --> 01:49:16,920
Speaker 1: nine deer. We're still waiting to rest from the results

1921
01:49:16,960 --> 01:49:20,760
Speaker 1: for ten, but so nineteen deer, six of them have

1922
01:49:20,840 --> 01:49:26,520
Speaker 1: been positive. And all of the good bucks we killed, um,

1923
01:49:27,479 --> 01:49:29,880
Speaker 1: a five and a half year old ten pointer, just

1924
01:49:29,960 --> 01:49:32,880
Speaker 1: like buck of a lifetime thing. And I, um just

1925
01:49:32,960 --> 01:49:34,880
Speaker 1: broke my heart to find out. And but I wondered

1926
01:49:34,880 --> 01:49:36,439
Speaker 1: about that here because I took I think I sent

1927
01:49:36,479 --> 01:49:38,639
Speaker 1: you the pictures of my note. I posted him on Instagram.

1928
01:49:38,640 --> 01:49:40,600
Speaker 1: This guy's like standing in front of me, you know,

1929
01:49:40,680 --> 01:49:42,840
Speaker 1: let me pose here in front of the sign for you,

1930
01:49:42,920 --> 01:49:45,400
Speaker 1: and then walked out. I mean he was it seemed like,

1931
01:49:45,800 --> 01:49:49,200
Speaker 1: I mean, yes, rut behavior, except there wasn't a door around,

1932
01:49:50,520 --> 01:49:53,080
Speaker 1: you know. And um, and so he ended up being

1933
01:49:53,120 --> 01:49:55,400
Speaker 1: harvested by a friend of mine. And then um, all

1934
01:49:55,439 --> 01:49:58,200
Speaker 1: of our so all of our bow bucks, which were

1935
01:49:58,640 --> 01:50:00,000
Speaker 1: two and a half, three and a half and five

1936
01:50:00,080 --> 01:50:03,160
Speaker 1: you're five and a half year old buck um tested positive,

1937
01:50:03,320 --> 01:50:08,200
Speaker 1: and UM, we've had UM another buck test positive and

1938
01:50:08,240 --> 01:50:10,800
Speaker 1: two doors and one was a I'm sorry. Both of

1939
01:50:10,800 --> 01:50:14,439
Speaker 1: those were three year old. Were aged at three years old. So, UM,

1940
01:50:14,600 --> 01:50:16,559
Speaker 1: I feel a little bit like we're losing the battle.

1941
01:50:16,600 --> 01:50:19,280
Speaker 1: And part of part of that is UM, because the

1942
01:50:19,280 --> 01:50:32,360
Speaker 1: population is still really high. Give me right now, UM,

1943
01:50:32,400 --> 01:50:36,599
Speaker 1: what is a what's the current c w D denier?

1944
01:50:36,840 --> 01:50:38,800
Speaker 1: What are they what's the c w D denier saying

1945
01:50:38,880 --> 01:50:40,519
Speaker 1: right now? They're not saying it's not a thing anymore.

1946
01:50:40,520 --> 01:50:43,160
Speaker 1: They've given up on that. And they're not saying that

1947
01:50:43,200 --> 01:50:47,280
Speaker 1: prevalence the level off at two they've given up on that. Well,

1948
01:50:47,520 --> 01:50:49,920
Speaker 1: I'm not sure that. UM. The person who said that

1949
01:50:50,040 --> 01:50:54,920
Speaker 1: has you know the um uh James Croll who uh

1950
01:50:55,240 --> 01:50:58,280
Speaker 1: said that when he was predicted a level off at Wisconsin.

1951
01:51:00,280 --> 01:51:04,040
Speaker 1: Pat Jerkins got him on tape saying it so UM,

1952
01:51:04,200 --> 01:51:06,200
Speaker 1: and and you know that we should take a more

1953
01:51:06,240 --> 01:51:08,840
Speaker 1: passive approach to c w D in Wisconsin when he

1954
01:51:08,960 --> 01:51:12,599
Speaker 1: was our our dear trustee. So would he still I mean,

1955
01:51:12,640 --> 01:51:16,639
Speaker 1: he's a he's a you know, he's from the science community.

1956
01:51:16,640 --> 01:51:19,680
Speaker 1: Would he still say that it hasn't passed two percent? Um?

1957
01:51:19,800 --> 01:51:22,479
Speaker 1: I know there was some questioning of how the data

1958
01:51:22,720 --> 01:51:25,439
Speaker 1: is Uh. If you don't like the data, you start

1959
01:51:25,680 --> 01:51:29,519
Speaker 1: questioning how the data is gathered. M So I haven't

1960
01:51:29,520 --> 01:51:31,599
Speaker 1: heard from him. I haven't heard from James Cole recently,

1961
01:51:31,600 --> 01:51:34,040
Speaker 1: so I'm not sure what it stands. The last thing

1962
01:51:34,080 --> 01:51:38,040
Speaker 1: that I read that he said, UM was that well

1963
01:51:38,160 --> 01:51:41,800
Speaker 1: c w D is UH again to downplay it. It's

1964
01:51:41,840 --> 01:51:44,679
Speaker 1: just a problem in four counties in Wisconsin. How would

1965
01:51:44,680 --> 01:51:48,439
Speaker 1: you like to be the counties around those four counties. UM,

1966
01:51:48,760 --> 01:51:52,879
Speaker 1: Currently in our county, UM prevalence is different than percentage

1967
01:51:52,880 --> 01:51:55,960
Speaker 1: of deer tested, So prevalences as Jim described it before.

1968
01:51:56,560 --> 01:51:59,880
Speaker 1: But because we don't require testing, it's completely voluntary and

1969
01:52:00,080 --> 01:52:03,320
Speaker 1: was in Wisconsin and it sort of makes sense, right. UM. Yeah,

1970
01:52:03,400 --> 01:52:07,640
Speaker 1: I can't picture. I can't picture getting on board with

1971
01:52:07,760 --> 01:52:11,080
Speaker 1: mandatory testing except for surveillance areas where they're trying to

1972
01:52:11,160 --> 01:52:14,160
Speaker 1: figure out what's going on around here, like Idaho. Right now,

1973
01:52:14,200 --> 01:52:16,840
Speaker 1: they just mandatory. Yeah, they just added a bunch of

1974
01:52:16,880 --> 01:52:18,680
Speaker 1: tags and you have to get them tested because that's

1975
01:52:18,720 --> 01:52:21,400
Speaker 1: the purpose. You know. I do want to walk something back,

1976
01:52:21,479 --> 01:52:27,080
Speaker 1: because when you kill a black bear, you damn your

1977
01:52:27,080 --> 01:52:30,160
Speaker 1: mandatory bring it down. When you get a river outer

1978
01:52:30,439 --> 01:52:34,479
Speaker 1: you bring it down. Yeah, Bobcats has to be tagged now, right,

1979
01:52:34,520 --> 01:52:37,320
Speaker 1: there's mandatory testing on stuff. And there was every mountain

1980
01:52:37,360 --> 01:52:39,679
Speaker 1: goat like in this state, every mountain goat, every big

1981
01:52:39,680 --> 01:52:44,920
Speaker 1: orange sheet biet, they're they're tagged and tested. You have

1982
01:52:45,000 --> 01:52:46,760
Speaker 1: to bring it for a visual inspection. So I'm just

1983
01:52:46,760 --> 01:52:49,240
Speaker 1: saying I at first, when you said like mandatory blank,

1984
01:52:49,760 --> 01:52:51,880
Speaker 1: I was like, well, that's unprecedented. But then I quickly

1985
01:52:51,920 --> 01:52:54,280
Speaker 1: realized that it's hardly unprecedented because there's tons of ship

1986
01:52:54,320 --> 01:52:57,160
Speaker 1: you gotta bring down. Yeah, it's like you know, well

1987
01:52:57,200 --> 01:53:02,759
Speaker 1: would probably be unprecedented in that volume. Yeah, sure, ye. Well,

1988
01:53:02,800 --> 01:53:05,200
Speaker 1: and so in a in an area, And I've had

1989
01:53:05,439 --> 01:53:08,160
Speaker 1: discussions with the biologists about this, and I think Jim

1990
01:53:08,160 --> 01:53:10,439
Speaker 1: would agree. And if he doesn't, again tell me to

1991
01:53:10,479 --> 01:53:13,320
Speaker 1: shut up and correct me. But um, in an area

1992
01:53:13,320 --> 01:53:17,360
Speaker 1: where you know that c w D already persists, um,

1993
01:53:17,520 --> 01:53:21,320
Speaker 1: mandatory testing doesn't necessarily make any sense because you already

1994
01:53:21,320 --> 01:53:24,559
Speaker 1: know what persists there. And if you're getting enough tests

1995
01:53:24,640 --> 01:53:29,800
Speaker 1: from voluntary testing too to understand how it's spreading, good enough. Yeah,

1996
01:53:29,800 --> 01:53:31,920
Speaker 1: if you're getting enough, But if you get like a

1997
01:53:31,960 --> 01:53:34,000
Speaker 1: couple of new positives in the new area. You want

1998
01:53:34,000 --> 01:53:35,640
Speaker 1: to know what's going on, because like I think it

1999
01:53:35,640 --> 01:53:38,000
Speaker 1: was Arkansas that got their first positive and they went

2000
01:53:38,040 --> 01:53:40,839
Speaker 1: in and tested and they were like ten already that

2001
01:53:40,840 --> 01:53:42,880
Speaker 1: that the prevalence rate was so high that it was

2002
01:53:42,920 --> 01:53:45,240
Speaker 1: obvious that had been there a long time. Yeah, Tennessee

2003
01:53:45,280 --> 01:53:48,400
Speaker 1: had the same experience. There has been people on the

2004
01:53:48,439 --> 01:53:51,680
Speaker 1: other side, like the people who are not alarmed. I

2005
01:53:51,920 --> 01:53:53,920
Speaker 1: should stop out of out of respect, I should stop

2006
01:53:53,960 --> 01:53:56,000
Speaker 1: saying like c w D deniers. Let me think of

2007
01:53:56,040 --> 01:53:59,080
Speaker 1: another way to put it. People who are not alarmed. Okay,

2008
01:53:59,760 --> 01:54:02,080
Speaker 1: what what I call? I don't with hell CWD deniers,

2009
01:54:04,640 --> 01:54:09,320
Speaker 1: those not alarmed. There has to be an argument. There

2010
01:54:09,360 --> 01:54:12,160
Speaker 1: has been an argument that they're saying, dude, it's just

2011
01:54:12,320 --> 01:54:16,439
Speaker 1: been here. It's like it's all over, you've been eating it.

2012
01:54:16,680 --> 01:54:20,040
Speaker 1: They have it. We still got a lot of deer, right,

2013
01:54:20,400 --> 01:54:22,719
Speaker 1: humans haven't caught it. I think that's what they're saying. Yeah,

2014
01:54:23,080 --> 01:54:27,720
Speaker 1: and uh right, and uh yeah. There is that evolution

2015
01:54:27,920 --> 01:54:33,640
Speaker 1: from uh uh it's it's it's fake. It's a hoax too,

2016
01:54:33,760 --> 01:54:38,040
Speaker 1: it's always better. Yeah, it's right, No, No, it really is.

2017
01:54:38,080 --> 01:54:41,640
Speaker 1: I mean it's like and you can't do anything about it. Well,

2018
01:54:41,760 --> 01:54:44,040
Speaker 1: I can tell you this. This is the first year

2019
01:54:44,120 --> 01:54:48,680
Speaker 1: where we've we've got sick deer on our cameras. Um

2020
01:54:48,760 --> 01:54:51,160
Speaker 1: and it's heartbreaking when you get that. UM. I posted

2021
01:54:51,200 --> 01:54:55,320
Speaker 1: on my Instagram page a video from the dough Derby

2022
01:54:54,880 --> 01:54:58,720
Speaker 1: the event that we had UM from fifteen miles south

2023
01:54:58,760 --> 01:55:02,720
Speaker 1: of US where Phella pulls into his hunting on a

2024
01:55:02,760 --> 01:55:05,320
Speaker 1: farm field and here's this buckleing and the weeds and

2025
01:55:05,360 --> 01:55:09,560
Speaker 1: it's had already dropped its antlers. It was emaciated and

2026
01:55:09,760 --> 01:55:12,400
Speaker 1: just laying there shaking and six seconds long and I'll

2027
01:55:12,440 --> 01:55:19,600
Speaker 1: break your heart. Um. Uh, there are fawn's testing positive

2028
01:55:19,640 --> 01:55:21,680
Speaker 1: for CWD. So if you're a big giant buck guy,

2029
01:55:21,880 --> 01:55:28,120
Speaker 1: and prevalence is so high that flawns are testing positive, um,

2030
01:55:28,520 --> 01:55:30,760
Speaker 1: a buck fawn is going to die from that disease

2031
01:55:30,760 --> 01:55:33,880
Speaker 1: in two years, if he doesn't die from a bullet. Uh.

2032
01:55:33,960 --> 01:55:36,240
Speaker 1: So the days of big giant bucks are going to

2033
01:55:36,320 --> 01:55:39,400
Speaker 1: become more difficult. That said, because this guy is gonna

2034
01:55:39,440 --> 01:55:43,280
Speaker 1: write in UM, Richland County, we are still killing big

2035
01:55:43,320 --> 01:55:47,800
Speaker 1: giant bucks. That's the like we talked, I I hit

2036
01:55:47,880 --> 01:55:51,520
Speaker 1: you up with that idea. Here here I am, I'm

2037
01:55:51,560 --> 01:55:55,240
Speaker 1: just a Joe blow sitting there right now. Being like, man,

2038
01:55:55,240 --> 01:55:59,680
Speaker 1: how worried should be about this? And and you're like,

2039
01:55:59,720 --> 01:56:04,560
Speaker 1: it's okay, it's indisputable that c WD is always fatal. Okay,

2040
01:56:04,600 --> 01:56:07,360
Speaker 1: it kills him. It kills him in what two years?

2041
01:56:07,440 --> 01:56:10,720
Speaker 1: So here you are, you're like in a hot zone.

2042
01:56:11,520 --> 01:56:13,520
Speaker 1: You've been dealing with c w D for how many years?

2043
01:56:14,320 --> 01:56:19,160
Speaker 1: Well twenty, I mean south of US, so you're still

2044
01:56:19,160 --> 01:56:23,440
Speaker 1: shooting big bucks. And I'm just saying like, like here

2045
01:56:23,480 --> 01:56:24,840
Speaker 1: I am, so I'm this guy, and I'm saying to

2046
01:56:24,880 --> 01:56:27,920
Speaker 1: you like, Okay, Doug, that's all great and fine. You've

2047
01:56:27,920 --> 01:56:30,320
Speaker 1: had c w D around for that long, you've got

2048
01:56:30,360 --> 01:56:32,480
Speaker 1: this huge prevalence. But a guy just got a once

2049
01:56:32,520 --> 01:56:34,400
Speaker 1: in a lifetime buck on your place. So what really,

2050
01:56:34,440 --> 01:56:37,920
Speaker 1: if I'm not worried about catching it, what's the problem.

2051
01:56:37,960 --> 01:56:41,160
Speaker 1: It's not a problem on my place now. But I

2052
01:56:41,160 --> 01:56:43,600
Speaker 1: can take you to a property south of US about

2053
01:56:43,600 --> 01:56:48,000
Speaker 1: fifteen miles where they weren't killing big giant bucks anymore.

2054
01:56:48,000 --> 01:56:52,120
Speaker 1: They were finding them dead in the woods. And what

2055
01:56:52,240 --> 01:56:54,280
Speaker 1: they change their attitude and said, well, we're just gonna

2056
01:56:54,280 --> 01:56:58,280
Speaker 1: become deer hunters again, and and they test every deer

2057
01:56:58,720 --> 01:57:01,720
Speaker 1: and um, so they feel like they feel like they've

2058
01:57:01,760 --> 01:57:04,040
Speaker 1: crossed that threshold where they don't have deer getting to

2059
01:57:04,080 --> 01:57:06,560
Speaker 1: be five years old. Jim, Yeah, it's it's bounded. It's

2060
01:57:06,560 --> 01:57:08,440
Speaker 1: gonna change. It's bound to change. When when you get

2061
01:57:08,440 --> 01:57:12,520
Speaker 1: an animal that contracts it and it's only gonna live

2062
01:57:12,520 --> 01:57:13,840
Speaker 1: for two years, you're not gonna have a lot of

2063
01:57:13,840 --> 01:57:16,880
Speaker 1: mature bucks out there. You're gonna run out. Are we

2064
01:57:16,960 --> 01:57:21,040
Speaker 1: seeing that happen in places? From your perspective? I don't know. Personally,

2065
01:57:21,120 --> 01:57:23,160
Speaker 1: you know, you'd have to go to the Northern Rockies, um,

2066
01:57:23,240 --> 01:57:26,040
Speaker 1: like Wyoming in Colorado is the place where the prevalence

2067
01:57:26,040 --> 01:57:28,200
Speaker 1: in the game management unit, And I'm just not familiar

2068
01:57:28,280 --> 01:57:31,040
Speaker 1: enough to know whether they're seeing changes in age, structure

2069
01:57:31,080 --> 01:57:33,879
Speaker 1: and things. I don't know. But when you get problems

2070
01:57:34,040 --> 01:57:36,280
Speaker 1: would be like the first thing that I think that like,

2071
01:57:36,280 --> 01:57:39,760
Speaker 1: like that would be the thing that that people would

2072
01:57:39,800 --> 01:57:42,800
Speaker 1: be more not the second most interesting part of this.

2073
01:57:43,000 --> 01:57:45,640
Speaker 1: The first most interesting part is disease transmission. To my view,

2074
01:57:45,640 --> 01:57:47,400
Speaker 1: the second most interesting part is, like, is this the

2075
01:57:47,480 --> 01:57:50,280
Speaker 1: end of Big Giant Box? I feel like someone will

2076
01:57:50,320 --> 01:57:52,800
Speaker 1: be looking at like Boone and Crockett entries coming out

2077
01:57:52,840 --> 01:57:56,520
Speaker 1: of these c w D zones. If you've got thirty

2078
01:57:56,840 --> 01:57:59,480
Speaker 1: of the males. One thing too, that a lot of

2079
01:57:59,520 --> 01:58:01,520
Speaker 1: people don't talk about it when we talk about prevalence

2080
01:58:01,600 --> 01:58:04,640
Speaker 1: rates throughout the Western meal deer prevalence rate is defined

2081
01:58:04,840 --> 01:58:08,920
Speaker 1: by those wildlife disease experts as the percent of the

2082
01:58:09,000 --> 01:58:13,400
Speaker 1: males older than one year that are positive. Very specific. Yeah,

2083
01:58:13,440 --> 01:58:15,920
Speaker 1: and and so females have a lower prevalence rate. Um.

2084
01:58:15,960 --> 01:58:18,000
Speaker 1: But but you have you have to arrive at some

2085
01:58:18,080 --> 01:58:20,280
Speaker 1: kind of definition, so you're not adding a bunch of

2086
01:58:20,320 --> 01:58:22,600
Speaker 1: does in one state and not another state. So so

2087
01:58:22,640 --> 01:58:25,640
Speaker 1: they've defined prevalence rate and keep it consistent throughout the

2088
01:58:25,640 --> 01:58:28,920
Speaker 1: West as just being bucks older than a year, males

2089
01:58:28,960 --> 01:58:31,160
Speaker 1: older than a year, and that's prevalence rate. And so

2090
01:58:31,280 --> 01:58:34,920
Speaker 1: when you've got problems, right, you're just not gonna get

2091
01:58:34,920 --> 01:58:36,840
Speaker 1: bucks that are living to six, seven, eight years old.

2092
01:58:36,880 --> 01:58:39,440
Speaker 1: You're gonna do very few of them because at any

2093
01:58:39,480 --> 01:58:45,480
Speaker 1: given time, one fifth of bucks over one year of age. Yeah,

2094
01:58:45,960 --> 01:58:49,440
Speaker 1: and so and then it's also driven by population. But

2095
01:58:49,480 --> 01:58:53,960
Speaker 1: you can go on to the risk to the cw

2096
01:58:54,040 --> 01:58:56,320
Speaker 1: D page of Wisconsin d n are and there's some

2097
01:58:56,720 --> 01:58:59,760
Speaker 1: prevalence studies that are going on in southeastern Richland County.

2098
01:58:59,800 --> 01:59:03,080
Speaker 1: We're in northeastern Ridgmond County and go into southeastern Riskon

2099
01:59:03,080 --> 01:59:05,960
Speaker 1: County and see what the trends are there. And those

2100
01:59:06,000 --> 01:59:09,120
Speaker 1: are the areas where anecdotally it supports exactly the same

2101
01:59:09,160 --> 01:59:14,680
Speaker 1: thing that the anecdotes are. It's higher prevalence in older bucks.

2102
01:59:14,680 --> 01:59:16,760
Speaker 1: And anecdotally, we're not running out a deer because we're

2103
01:59:16,760 --> 01:59:19,600
Speaker 1: really good at growing deer. You know, birth and deer

2104
01:59:19,600 --> 01:59:21,200
Speaker 1: and are part of you know what. It's like, It's

2105
01:59:21,360 --> 01:59:23,560
Speaker 1: just it's shango live if you're a deer. We've got

2106
01:59:23,600 --> 01:59:26,320
Speaker 1: all these groceries in the spring and summer and fall,

2107
01:59:26,880 --> 01:59:31,160
Speaker 1: um in the winter not so much, but um so

2108
01:59:31,240 --> 01:59:33,800
Speaker 1: we're producing a lot of deer. And that's one of

2109
01:59:33,800 --> 01:59:35,920
Speaker 1: the things that the what did we call them, the

2110
01:59:35,920 --> 01:59:40,440
Speaker 1: CWD skeptics, I thought they were going to uh. I

2111
01:59:40,440 --> 01:59:41,800
Speaker 1: thought all the deer were gonna be dead by now.

2112
01:59:41,880 --> 01:59:43,960
Speaker 1: It's like, yeah, I thought the prevalence was gonna level

2113
01:59:43,960 --> 01:59:46,560
Speaker 1: off at two percent. You know what the hell you

2114
01:59:46,560 --> 01:59:48,320
Speaker 1: want to talk about here? I mean, don't don't throw

2115
01:59:48,320 --> 01:59:50,160
Speaker 1: that ship at me. Let's take a look at what

2116
01:59:50,160 --> 01:59:55,640
Speaker 1: what is really happening. And um uh positive funds and

2117
01:59:55,640 --> 01:59:57,720
Speaker 1: and Jim could talk about this too. I'm sure about

2118
01:59:57,920 --> 02:00:01,360
Speaker 1: you know, as a as a faun getting CWD from

2119
02:00:01,360 --> 02:00:04,400
Speaker 1: a positive doe in utero or is that you know,

2120
02:00:04,440 --> 02:00:06,960
Speaker 1: happening after and why there's some really interesting I just

2121
02:00:07,040 --> 02:00:08,680
Speaker 1: haven't been down that rabbit hole too far. I have

2122
02:00:08,680 --> 02:00:10,680
Speaker 1: talked to a couple of biologists about it. But I

2123
02:00:10,720 --> 02:00:14,120
Speaker 1: think I saw a report recently of some research that

2124
02:00:14,200 --> 02:00:17,200
Speaker 1: I think it's still in progress, that they found the

2125
02:00:17,240 --> 02:00:22,160
Speaker 1: mouthform preon in fetal tissue not even born yet it's

2126
02:00:22,200 --> 02:00:25,840
Speaker 1: got CD. So what I'm trying, what I'm trying to

2127
02:00:25,880 --> 02:00:28,520
Speaker 1: do with with with my here's where I'm coming from

2128
02:00:28,560 --> 02:00:31,680
Speaker 1: with it. And again you can read that article. I

2129
02:00:31,680 --> 02:00:33,600
Speaker 1: I like killing big giant bucks. I am not a

2130
02:00:33,600 --> 02:00:35,160
Speaker 1: guy who wants to go out and kill every deer

2131
02:00:35,240 --> 02:00:38,480
Speaker 1: just because every deer, you know, is possible, because we

2132
02:00:38,480 --> 02:00:41,360
Speaker 1: can just let's just kill every deer to control this disease.

2133
02:00:41,800 --> 02:00:44,040
Speaker 1: I want a healthy dear herd. I think we need

2134
02:00:44,080 --> 02:00:47,360
Speaker 1: to be talking about healthy deer management UM as opposed

2135
02:00:47,400 --> 02:00:50,320
Speaker 1: to you know, big big giant buck management, the other

2136
02:00:50,360 --> 02:00:52,840
Speaker 1: thing that's happening in our area. We got so deep

2137
02:00:53,000 --> 02:00:57,400
Speaker 1: into um the big giant buck management. They're not rare anymore.

2138
02:00:58,920 --> 02:01:00,920
Speaker 1: I mean, oh yeah, nice hunter and six deer we

2139
02:01:01,000 --> 02:01:05,760
Speaker 1: killed two over here. I mean it's it's I mean,

2140
02:01:05,840 --> 02:01:08,920
Speaker 1: it's true. There's still just giants being killed. A giant

2141
02:01:08,960 --> 02:01:11,080
Speaker 1: was killed by a neighbor, you know, the same thing.

2142
02:01:11,120 --> 02:01:15,640
Speaker 1: One seventy class buck c w D not detected, you know,

2143
02:01:15,720 --> 02:01:18,400
Speaker 1: four year old buck. So there's some of that too.

2144
02:01:18,400 --> 02:01:20,200
Speaker 1: It's sort of like you would talk one time about

2145
02:01:20,240 --> 02:01:21,880
Speaker 1: COVID and I was like, well, not one one of

2146
02:01:21,920 --> 02:01:24,000
Speaker 1: those things that Steve like said I latched on, or

2147
02:01:24,040 --> 02:01:26,240
Speaker 1: it says that that I latched onto, and that was

2148
02:01:26,320 --> 02:01:29,040
Speaker 1: you said, boy COVID. The thing that freaks me out

2149
02:01:29,040 --> 02:01:33,000
Speaker 1: about it is how sort of how it affects every

2150
02:01:33,040 --> 02:01:35,560
Speaker 1: thing's differently, people differently, and some people get really sick

2151
02:01:35,600 --> 02:01:37,480
Speaker 1: and some people hardly get sick at all. And this

2152
02:01:37,520 --> 02:01:40,400
Speaker 1: is almost the same sort of thing. But as prevalence

2153
02:01:40,520 --> 02:01:43,760
Speaker 1: goes up, we're gonna have less of that we have.

2154
02:01:43,880 --> 02:01:47,200
Speaker 1: I what I preach to people is it's the deer

2155
02:01:47,200 --> 02:01:49,440
Speaker 1: herd is going to be smaller in our area. And

2156
02:01:49,480 --> 02:01:51,360
Speaker 1: you know what, we can either be the ones driving

2157
02:01:51,400 --> 02:01:55,680
Speaker 1: that and have a nice age structure and a nice um,

2158
02:01:55,720 --> 02:01:59,440
Speaker 1: you know, a nice balanced herd um with a lower

2159
02:01:59,440 --> 02:02:01,480
Speaker 1: prevalence or we can let c w D do it,

2160
02:02:01,520 --> 02:02:03,000
Speaker 1: and yeah, we can have all kinds of your and

2161
02:02:03,000 --> 02:02:07,400
Speaker 1: they're gonna be young ones. We're going to be positive.

2162
02:02:07,440 --> 02:02:13,080
Speaker 1: Then no, not too h all right, Jim, I'm gonna

2163
02:02:13,120 --> 02:02:15,000
Speaker 1: eat me some quick hitters, because see we got the problem.

2164
02:02:15,120 --> 02:02:17,640
Speaker 1: Richie's over here dying. He's ready play me the trivia.

2165
02:02:17,840 --> 02:02:20,280
Speaker 1: Did you know right over there? Ah? Yeah, no, I'm

2166
02:02:20,280 --> 02:02:22,480
Speaker 1: doing great and this is fascinating sitting here and watch

2167
02:02:22,560 --> 02:02:26,080
Speaker 1: this and good deal. So hang there, Jim's gonna do

2168
02:02:26,080 --> 02:02:28,320
Speaker 1: a bunch of quick hitters. We're gonna time you on

2169
02:02:28,320 --> 02:02:32,480
Speaker 1: how quick you can handle all these times. Okay, Ready,

2170
02:02:34,160 --> 02:02:39,280
Speaker 1: guy rode in with a doe and antler dope which

2171
02:02:39,320 --> 02:02:44,480
Speaker 1: has got like three it's a full on, that's all

2172
02:02:44,560 --> 02:02:49,480
Speaker 1: you call it. It's got like double brow times hard

2173
02:02:49,520 --> 02:02:54,600
Speaker 1: antler like a nice buck. But it's a dope. That's

2174
02:02:54,600 --> 02:02:56,920
Speaker 1: an unusual that's a really unusual case, that one that

2175
02:02:56,960 --> 02:02:59,600
Speaker 1: was sent in there. I've been getting these reports for forever,

2176
02:02:59,680 --> 02:03:02,480
Speaker 1: and the confusion is there's a whole bunch of different

2177
02:03:02,480 --> 02:03:05,680
Speaker 1: conditions that can make a buck actually look like a

2178
02:03:05,720 --> 02:03:07,400
Speaker 1: female when you when you kill, when you kill a

2179
02:03:07,440 --> 02:03:10,680
Speaker 1: deer that's got antlers, you open the legs up, and

2180
02:03:10,720 --> 02:03:12,920
Speaker 1: it doesn't look like you don't find a male genitalia.

2181
02:03:12,960 --> 02:03:16,480
Speaker 1: That's that's obvious. Until here, I'm talking about testicles against Spencer.

2182
02:03:16,480 --> 02:03:21,640
Speaker 1: Pay attention. There's he's like, now he's getting sexy in here.

2183
02:03:21,440 --> 02:03:26,040
Speaker 1: There's a condition called hypoconatle bucks, which which their testicles

2184
02:03:26,040 --> 02:03:27,920
Speaker 1: are actually in the scrotum, but their size of a p.

2185
02:03:28,520 --> 02:03:31,160
Speaker 1: So if you want to insult your your your camp mates,

2186
02:03:31,240 --> 02:03:34,720
Speaker 1: just call them hypogonadle. But they don't have the kind

2187
02:03:34,720 --> 02:03:38,920
Speaker 1: of testosterone and so they they don't develop as they're

2188
02:03:38,920 --> 02:03:42,440
Speaker 1: developing young, they don't develop the full male external gentitlia

2189
02:03:42,480 --> 02:03:44,640
Speaker 1: to look hormal. And so when you when someone open

2190
02:03:44,720 --> 02:03:46,919
Speaker 1: the legs, it looks like a female, and they immediately

2191
02:03:46,960 --> 02:03:49,440
Speaker 1: declare it as an antler do they go on? But

2192
02:03:49,480 --> 02:03:51,880
Speaker 1: it's really not. It's just a malformed buck. There's also

2193
02:03:51,960 --> 02:03:55,520
Speaker 1: crypt orchid males, which the testicles don't they never descend

2194
02:03:55,520 --> 02:03:58,120
Speaker 1: into the scrotum. They stay in the body cavity, en

2195
02:03:58,160 --> 02:04:00,480
Speaker 1: cased in fat, and that throws people off. And and

2196
02:04:00,520 --> 02:04:02,920
Speaker 1: so you look and there's no scrotum, there's no testicles,

2197
02:04:02,960 --> 02:04:05,840
Speaker 1: and and sometimes even the penis can look like it's

2198
02:04:05,840 --> 02:04:09,080
Speaker 1: in a fold like almost almost different, almost like a female,

2199
02:04:09,280 --> 02:04:11,320
Speaker 1: and so that that throws people off there too. But

2200
02:04:11,560 --> 02:04:13,880
Speaker 1: in that case, the testicles are in the body and

2201
02:04:13,920 --> 02:04:16,440
Speaker 1: they're producing testosterone and so they get hard antler and

2202
02:04:16,640 --> 02:04:18,280
Speaker 1: everything else. So this is a lot of those like

2203
02:04:18,560 --> 02:04:22,960
Speaker 1: uh dope bucks. Sometimes they're called pseudo hermaphrodites because I

2204
02:04:22,960 --> 02:04:24,720
Speaker 1: mean it's like people are and then people are writing

2205
02:04:24,720 --> 02:04:26,480
Speaker 1: to you being like it's a it's a dough, yep.

2206
02:04:26,560 --> 02:04:28,000
Speaker 1: And then and then you say, well, what kind of

2207
02:04:28,040 --> 02:04:29,640
Speaker 1: genitalia would it looked like, Well, I don't know, we

2208
02:04:29,720 --> 02:04:31,520
Speaker 1: got it, and you know, there's no proof. So a

2209
02:04:31,560 --> 02:04:33,240
Speaker 1: lot of cases you don't know what's going on. But

2210
02:04:33,320 --> 02:04:35,800
Speaker 1: so this picture here, you can't really tell. Well, I

2211
02:04:35,800 --> 02:04:38,920
Speaker 1: I think I can, right, that's the picture. Yeah, there's

2212
02:04:39,000 --> 02:04:41,600
Speaker 1: there's there are cases where you have antler does and

2213
02:04:41,640 --> 02:04:44,320
Speaker 1: that can happen from uh an injury to the skull.

2214
02:04:44,360 --> 02:04:46,720
Speaker 1: There's a certain region the temporal bone on the skull

2215
02:04:47,080 --> 02:04:49,960
Speaker 1: that's real sensitive to you of the bones injured at

2216
02:04:49,960 --> 02:04:51,680
Speaker 1: a certain time of the year, it can produce even

2217
02:04:51,680 --> 02:04:53,880
Speaker 1: in the dough, it can produce an odd antler coming

2218
02:04:53,880 --> 02:04:57,800
Speaker 1: out of the skull plate because dose produced testosterone in

2219
02:04:57,800 --> 02:04:59,920
Speaker 1: an adrenal gland too, so they produce a little bit

2220
02:05:00,000 --> 02:05:05,200
Speaker 1: a testosterone, and antler development is not dependent on testosterone. Actually,

2221
02:05:05,320 --> 02:05:08,440
Speaker 1: antlers grow at a low point of testosterone during the year.

2222
02:05:08,840 --> 02:05:10,760
Speaker 1: They grow their antlers in velvet, and then you get

2223
02:05:10,760 --> 02:05:14,800
Speaker 1: close to rut, testosterone levels come up. The rising testosterone

2224
02:05:14,880 --> 02:05:17,560
Speaker 1: levels then dry the velvet, they shed the velvet, and

2225
02:05:17,600 --> 02:05:19,920
Speaker 1: then they go through rut. And after the rut, testosterone

2226
02:05:20,000 --> 02:05:23,200
Speaker 1: drops precipitously and that's what triggers then the shedding of

2227
02:05:23,240 --> 02:05:26,080
Speaker 1: antlers dropping off. So the antlers are growing during a

2228
02:05:26,120 --> 02:05:29,000
Speaker 1: period of low testosterone. So in certain cases, if a

2229
02:05:29,040 --> 02:05:31,680
Speaker 1: dough has a tumor on her ovary and it messes

2230
02:05:31,760 --> 02:05:33,840
Speaker 1: up the hormone system or she gets an injury in

2231
02:05:33,880 --> 02:05:37,280
Speaker 1: the skull, she can actually produce antlers. And there's cases

2232
02:05:37,280 --> 02:05:40,320
Speaker 1: where does have antlers that are actually reproductive and then

2233
02:05:40,400 --> 02:05:42,919
Speaker 1: they're reproducing and have a fall, and but in almost

2234
02:05:43,000 --> 02:05:45,640
Speaker 1: every single one of those cases, the dough stay in

2235
02:05:45,720 --> 02:05:48,800
Speaker 1: velvet because they don't have that dramatic increase in t

2236
02:05:48,920 --> 02:05:51,600
Speaker 1: stosterone to dry the velvet and shed the antlers. So

2237
02:05:51,800 --> 02:05:54,560
Speaker 1: they'll stay in velvet through the winter and and even

2238
02:05:54,640 --> 02:05:56,520
Speaker 1: hang onto their antlers and not chet them because they

2239
02:05:56,520 --> 02:05:59,400
Speaker 1: don't have the testoina. But what's unusual about this is

2240
02:05:59,440 --> 02:06:01,680
Speaker 1: that that was a hard antler in that picture from

2241
02:06:01,680 --> 02:06:05,560
Speaker 1: Missouri and I and I wrote to the game warden

2242
02:06:05,800 --> 02:06:07,600
Speaker 1: who contacted the hunter out in the field. She sent

2243
02:06:07,680 --> 02:06:09,720
Speaker 1: me some more pictures and in one of the pictures

2244
02:06:09,760 --> 02:06:11,920
Speaker 1: you can almost see it. You can clearly see it

2245
02:06:11,920 --> 02:06:14,280
Speaker 1: doesn't have a scrotum, doesn't have a penis that has

2246
02:06:14,640 --> 02:06:18,120
Speaker 1: four nipples. But males have four nipples too. In dear,

2247
02:06:18,360 --> 02:06:19,920
Speaker 1: a hunter called me one time said he shot at

2248
02:06:19,920 --> 02:06:22,320
Speaker 1: antler dough because they had four nipples. And I said,

2249
02:06:22,440 --> 02:06:26,480
Speaker 1: look inside your shirt right now, tell me what you see?

2250
02:06:26,640 --> 02:06:31,280
Speaker 1: Four nipples? Four nipples. Yeah. But but in that particular picture,

2251
02:06:31,360 --> 02:06:32,960
Speaker 1: I think I can almost see it what looks like

2252
02:06:32,960 --> 02:06:35,040
Speaker 1: a volva uh, kind of on the edge of the picture.

2253
02:06:35,080 --> 02:06:38,040
Speaker 1: I think that might be a legitimate heart antler dough,

2254
02:06:38,040 --> 02:06:40,800
Speaker 1: which is extremely rare. But these odd things happened. She

2255
02:06:40,840 --> 02:06:44,040
Speaker 1: could have something strange with her ovaries that's producing enough

2256
02:06:44,120 --> 02:06:46,400
Speaker 1: to stops for him to do that. Okay, right for

2257
02:06:46,480 --> 02:06:49,560
Speaker 1: next one. Alyssa from Michigan wrote in She's got a

2258
02:06:49,600 --> 02:06:53,080
Speaker 1: picture of a buck with cow spots. She's calling it

2259
02:06:53,120 --> 02:06:56,840
Speaker 1: so pawpaw Michigan buck with cow spots. We call it

2260
02:06:56,880 --> 02:07:01,280
Speaker 1: piebald um. It's like not quite like being albino. You

2261
02:07:01,320 --> 02:07:03,880
Speaker 1: can clarify that. And there's people saying that, man, you

2262
02:07:03,920 --> 02:07:07,840
Speaker 1: got to shoot those deer because they got health problems. Yeah,

2263
02:07:07,960 --> 02:07:10,120
Speaker 1: there's some truth to that. You don't need to shoot

2264
02:07:10,120 --> 02:07:12,800
Speaker 1: those deer. There's there's actually that piebald condition is something

2265
02:07:12,800 --> 02:07:15,240
Speaker 1: that shows up here and there especially made it. You

2266
02:07:15,240 --> 02:07:17,520
Speaker 1: can't shoot those deer. A lot of it's state by states.

2267
02:07:17,560 --> 02:07:19,400
Speaker 1: Some states you can't shoot a white deer, you can't

2268
02:07:19,400 --> 02:07:21,960
Speaker 1: shoot a piebald deer. So it depends on that. But

2269
02:07:22,160 --> 02:07:25,200
Speaker 1: that pipebald condition is a recessive genetic condition and comes

2270
02:07:25,240 --> 02:07:30,600
Speaker 1: along with um deformed spine like scoliosism, deformed poves, bode

2271
02:07:30,680 --> 02:07:35,400
Speaker 1: leg short legs, short nose, short jaw um. Sometimes internal

2272
02:07:35,480 --> 02:07:38,400
Speaker 1: organs are are not formed correctly, and so there's other

2273
02:07:38,440 --> 02:07:41,440
Speaker 1: genetic problems with those piebald deer. But some deer, some

2274
02:07:41,560 --> 02:07:43,760
Speaker 1: dear die right away because of the problems when their fones.

2275
02:07:44,000 --> 02:07:46,280
Speaker 1: Some deer don't have too many of those other problems,

2276
02:07:46,280 --> 02:07:48,360
Speaker 1: and they'll live to adulthood and you'll have a you'll

2277
02:07:48,360 --> 02:07:51,800
Speaker 1: have a buck, mature buck that looks like Doug's favorite beer,

2278
02:07:51,880 --> 02:07:54,520
Speaker 1: the Spotted Kyle from New Glarious Brewery. You've got these

2279
02:07:54,560 --> 02:07:56,800
Speaker 1: brown and white patches and they're always random. There's no

2280
02:07:56,840 --> 02:07:58,560
Speaker 1: two that are like they're just random on them and

2281
02:07:58,600 --> 02:08:02,200
Speaker 1: they could be sextually viable. Yeah, definitely. So is it

2282
02:08:02,160 --> 02:08:05,600
Speaker 1: a lot? So is it like, um, when they make

2283
02:08:05,640 --> 02:08:07,880
Speaker 1: it illegal to get one to shoot one? Is that

2284
02:08:07,960 --> 02:08:10,440
Speaker 1: kind of just It's just it's like it's like an

2285
02:08:10,480 --> 02:08:13,520
Speaker 1: aesthetic thing, like people want to see them. It's aesthetics.

2286
02:08:13,600 --> 02:08:15,760
Speaker 1: It's it's not a common enough thing that it's gonna

2287
02:08:15,800 --> 02:08:19,280
Speaker 1: be more common, um if you preserve them, and so

2288
02:08:19,320 --> 02:08:21,000
Speaker 1: many of them are dying because of the other issues

2289
02:08:21,080 --> 02:08:23,680
Speaker 1: like that. It's it's just purely a social thing. It's

2290
02:08:23,680 --> 02:08:28,080
Speaker 1: not gonna affect any you Ready for the last one,

2291
02:08:29,560 --> 02:08:34,400
Speaker 1: deer with fangs from the elk Ivories Deer with fangs

2292
02:08:34,440 --> 02:08:36,120
Speaker 1: people right in all time, they got like a deer

2293
02:08:36,120 --> 02:08:38,840
Speaker 1: with some crazy teeth going on. Yeah, white tailed mealder

2294
02:08:38,920 --> 02:08:42,800
Speaker 1: do not normally have upper canine teeth, but in rare

2295
02:08:42,840 --> 02:08:45,440
Speaker 1: cases that we get a throwback from evolution. And and

2296
02:08:45,480 --> 02:08:47,160
Speaker 1: I say that because back in the Mile scene, the

2297
02:08:47,320 --> 02:08:51,320
Speaker 1: early dino deer or the early primitive deer. Generally most

2298
02:08:51,360 --> 02:08:53,760
Speaker 1: of those had fangs and and some of the early

2299
02:08:53,800 --> 02:08:56,680
Speaker 1: ones just had fangs, and then Antler's kind of developed

2300
02:08:56,680 --> 02:08:58,840
Speaker 1: and we showed up in the fossil record, and as

2301
02:08:58,840 --> 02:09:01,440
Speaker 1: we got more and more fangs older in the fossil records,

2302
02:09:02,360 --> 02:09:05,440
Speaker 1: there's some of some antlerless animals that are in the

2303
02:09:05,480 --> 02:09:08,960
Speaker 1: deer family, depending on when you start the deer family

2304
02:09:09,120 --> 02:09:11,160
Speaker 1: with big tufts like that, and the tusts probably served

2305
02:09:11,160 --> 02:09:15,080
Speaker 1: the same purpose as antlers as display um, probably mostly

2306
02:09:15,120 --> 02:09:19,240
Speaker 1: as display maybe as fighting intimidation of of rivals um.

2307
02:09:19,280 --> 02:09:22,360
Speaker 1: But then as antler's development got more elaborate throughout deer evolution,

2308
02:09:22,600 --> 02:09:25,040
Speaker 1: those fangs got smaller and smaller, and now we still

2309
02:09:25,080 --> 02:09:27,920
Speaker 1: have over half of the forty species in the deer

2310
02:09:27,960 --> 02:09:30,440
Speaker 1: family that have upper can nine teeth. And when you

2311
02:09:30,520 --> 02:09:32,560
Speaker 1: get when you talk, when you hear someone talk about

2312
02:09:32,560 --> 02:09:37,200
Speaker 1: elk ivory, like I'm having a necklace made for my wife,

2313
02:09:37,480 --> 02:09:41,840
Speaker 1: um um that has elk ivory incorporated in it. That

2314
02:09:42,080 --> 02:09:45,480
Speaker 1: is a vestigial tuss, that's a deer fang. Sure, that's

2315
02:09:45,480 --> 02:09:47,800
Speaker 1: just one. Elk are one of the species that retain

2316
02:09:47,840 --> 02:09:50,640
Speaker 1: those upper upper can nines. What's interesting bottom is that

2317
02:09:50,760 --> 02:09:53,560
Speaker 1: how wiggly they are. Sometimes they're loose, sometimes they are

2318
02:09:53,640 --> 02:09:56,200
Speaker 1: firm in the in the socket there. But you think

2319
02:09:56,240 --> 02:09:59,000
Speaker 1: about um like a primitive deer probably looks a lot

2320
02:09:59,000 --> 02:10:01,000
Speaker 1: like a munth check with small lantler's up on big

2321
02:10:01,000 --> 02:10:05,400
Speaker 1: stalks and then um canines. But but with what's interesting

2322
02:10:05,440 --> 02:10:08,840
Speaker 1: about the white tail and muld are not normally having

2323
02:10:08,880 --> 02:10:11,800
Speaker 1: canines is species that do have big canines, like the

2324
02:10:11,880 --> 02:10:14,640
Speaker 1: Chinese water deer has big tusks, and underneath on the

2325
02:10:14,680 --> 02:10:17,560
Speaker 1: lower lip, underneath that fang is a black spot black

2326
02:10:17,600 --> 02:10:20,800
Speaker 1: fur that kind of accentuates that white kid and it

2327
02:10:20,920 --> 02:10:22,760
Speaker 1: just it kind of it kind of shows it off.

2328
02:10:23,040 --> 02:10:24,600
Speaker 1: But what's interesting if you look at a deer amount

2329
02:10:24,600 --> 02:10:27,000
Speaker 1: of a white tailor meal there and they also have

2330
02:10:27,200 --> 02:10:30,680
Speaker 1: that black labial spot on the lower on the right

2331
02:10:30,720 --> 02:10:33,240
Speaker 1: where that canine would be. And so the question is

2332
02:10:33,760 --> 02:10:36,920
Speaker 1: did they lose their canines and most individuals and still

2333
02:10:36,960 --> 02:10:39,280
Speaker 1: retain that black labial spot. Is that what that black

2334
02:10:39,360 --> 02:10:42,000
Speaker 1: label spots for? Because what else is it for? And

2335
02:10:42,040 --> 02:10:44,040
Speaker 1: you look at some other tut animals and you see

2336
02:10:44,040 --> 02:10:46,320
Speaker 1: that black spot, that's pretty interesting. It might be this

2337
02:10:46,440 --> 02:10:50,360
Speaker 1: evolutionary throwback from from Tino deer. Are there any other

2338
02:10:50,400 --> 02:10:54,080
Speaker 1: primitive characteristics? I thought that I've seen that some of

2339
02:10:54,080 --> 02:10:56,520
Speaker 1: the canine deer will often have like a very black

2340
02:10:56,560 --> 02:10:59,320
Speaker 1: defined line above their eyes, like a black eyebrow. That

2341
02:10:59,440 --> 02:11:02,200
Speaker 1: was one individual deer from from Louisiana. There was a

2342
02:11:02,240 --> 02:11:06,560
Speaker 1: deer that had in Florida, maybe it was I think Louisiana.

2343
02:11:07,000 --> 02:11:09,480
Speaker 1: Was it Louisiana, That's what was in my head. But

2344
02:11:09,520 --> 02:11:12,040
Speaker 1: it had pretty big canine tusks, and then it had

2345
02:11:12,080 --> 02:11:15,080
Speaker 1: a strange black tap on the forehead and so that

2346
02:11:15,120 --> 02:11:19,280
Speaker 1: was um. Lindsay Thomas Rod from from National Deer Association

2347
02:11:19,560 --> 02:11:21,640
Speaker 1: wrote an article about that and talk to me about that,

2348
02:11:22,080 --> 02:11:24,840
Speaker 1: and he talked a lot in that article about that

2349
02:11:24,960 --> 02:11:29,200
Speaker 1: being um, the black markings and the canines all being

2350
02:11:29,200 --> 02:11:32,360
Speaker 1: primitive characteristics. But no one, you know, no one really

2351
02:11:32,360 --> 02:11:34,360
Speaker 1: knows what the fur look like back in the Miocene.

2352
02:11:34,680 --> 02:11:36,720
Speaker 1: But I had an illustrator for a for a Melder

2353
02:11:36,760 --> 02:11:40,280
Speaker 1: book that's coming up illustrate some of these extinct deer species,

2354
02:11:40,560 --> 02:11:42,560
Speaker 1: and I actually had him illustrate one of them with

2355
02:11:42,600 --> 02:11:46,560
Speaker 1: that black v from that individual. And let's go Indiana. Richie,

2356
02:11:46,600 --> 02:11:48,480
Speaker 1: do you feel like Jim's gonna kick the sh out

2357
02:11:48,480 --> 02:11:53,600
Speaker 1: everybody at trivia. Yes, if it's a deer, if you

2358
02:11:53,640 --> 02:11:55,600
Speaker 1: want to win, man, i'd have your sights on beating Jim.

2359
02:11:56,080 --> 02:11:58,400
Speaker 1: That's I'm kind of working on my angle over here.

2360
02:12:01,280 --> 02:12:05,200
Speaker 1: Is there a high prevalence of der questions? Um? I

2361
02:12:05,240 --> 02:12:08,360
Speaker 1: don't think so good. We're gonna get right into it.

2362
02:12:09,440 --> 02:12:14,680
Speaker 1: This is kicking off, I tell you is it? Kick

2363
02:12:14,680 --> 02:12:19,760
Speaker 1: Off is some hot meat eat or trivia action hosted

2364
02:12:19,800 --> 02:12:23,840
Speaker 1: by Spencer new Heart. So right, this is trivia you're

2365
02:12:23,840 --> 02:12:27,440
Speaker 1: not going to get from Jeopardy or Trivial pers Okay,

2366
02:12:27,840 --> 02:12:31,200
Speaker 1: my racer, I'm gonna think that's not in there. You

2367
02:12:31,320 --> 02:12:35,600
Speaker 1: got sleeves, there's the next drab sleeves are even black? Okay,

2368
02:12:35,640 --> 02:12:38,360
Speaker 1: I'm I'm ready to go get Eddy. This is trivia

2369
02:12:38,400 --> 02:12:40,400
Speaker 1: you're not going to get from Jeopardy or Trivial Pursuit

2370
02:12:40,480 --> 02:12:42,680
Speaker 1: or any bar night trivia. These are born out of

2371
02:12:42,720 --> 02:12:46,040
Speaker 1: meat eaters four verticals and made just for our metetor audience. Steve,

2372
02:12:46,400 --> 02:12:48,960
Speaker 1: what are our four verticals? I'm gonna stop doing this

2373
02:12:49,000 --> 02:12:53,920
Speaker 1: because I think that it's stupid. I don't they don't fit.

2374
02:12:54,200 --> 02:12:56,160
Speaker 1: I think this makes it special. When you have a

2375
02:12:56,240 --> 02:13:02,280
Speaker 1: question that go ahead, they don't fit. Yeah, you can say, like,

2376
02:13:02,280 --> 02:13:06,160
Speaker 1: like our what we're interested here at this here we're

2377
02:13:06,320 --> 02:13:12,360
Speaker 1: well our interests hunting, fishing, wild foods, wildlife conservation. But

2378
02:13:12,960 --> 02:13:15,320
Speaker 1: when it comes to trivia and you ask him out

2379
02:13:15,440 --> 02:13:19,880
Speaker 1: man question, it doesn't. I'll ask someone else that question.

2380
02:13:19,920 --> 02:13:25,760
Speaker 1: From now on, there is it's listen, dude, it's outdoor trivia.

2381
02:13:28,360 --> 02:13:34,280
Speaker 1: But it's like it's like specific to meet either. Okay,

2382
02:13:34,320 --> 02:13:37,920
Speaker 1: then rebranded, but there's a when we come out with

2383
02:13:37,960 --> 02:13:40,200
Speaker 1: the actual game that you can buy. It's gonna have

2384
02:13:40,440 --> 02:13:45,600
Speaker 1: a Pioneers and Explorers categories. Okay, when you go to

2385
02:13:45,640 --> 02:13:48,320
Speaker 1: our website, you're not gonna go to a drop down

2386
02:13:48,360 --> 02:13:53,320
Speaker 1: menu that says Pioneers and Explorers on it. Technically under

2387
02:13:53,480 --> 02:14:00,080
Speaker 1: our conservation tab is where you'll find Okay, So the

2388
02:14:00,080 --> 02:14:06,000
Speaker 1: worst hide hunter okay, the worst hide hunter okay, j

2389
02:14:06,200 --> 02:14:10,920
Speaker 1: Wright more would live under conservation. The man who claims

2390
02:14:10,960 --> 02:14:14,040
Speaker 1: to have killed ten thousand buffalo. Yeah, when we cover

2391
02:14:14,080 --> 02:14:18,520
Speaker 1: a poacher that goes under wildlife management, which lives under conservation. Okay,

2392
02:14:18,560 --> 02:14:21,240
Speaker 1: all right, let's start. There is a prize. Media will

2393
02:14:21,280 --> 02:14:24,480
Speaker 1: donate what hundred dollars to the conservation organization The winners choosing.

2394
02:14:24,480 --> 02:14:27,600
Speaker 1: We've played four times so far. Brody has one twice,

2395
02:14:27,600 --> 02:14:31,120
Speaker 1: Steve has won once, and Clay has won once. All right,

2396
02:14:31,160 --> 02:14:34,240
Speaker 1: we have some housekeeping. I have a punt gun update.

2397
02:14:34,640 --> 02:14:36,880
Speaker 1: This is a quote from the Boon and Crocket Club.

2398
02:14:37,160 --> 02:14:40,680
Speaker 1: Not yet a quote from the Boone and Crocket Club.

2399
02:14:41,040 --> 02:14:43,680
Speaker 1: Many states had outlawed the use of punt guns by

2400
02:14:43,720 --> 02:14:46,400
Speaker 1: the eighteen sixties, but it wasn't working. At the turn

2401
02:14:46,440 --> 02:14:49,720
Speaker 1: of the twentieth century, federal law was desperately needed, not

2402
02:14:49,840 --> 02:14:56,360
Speaker 1: just for waterfowl, but all of the nation's wildlife. Also.

2403
02:14:56,520 --> 02:14:59,400
Speaker 1: I found three punt guns for sale in online auctions

2404
02:14:59,480 --> 02:15:01,760
Speaker 1: right now. They range from four thousand dollars to eight

2405
02:15:01,760 --> 02:15:04,760
Speaker 1: thousand dollars and from six ft long to ten feet long.

2406
02:15:05,400 --> 02:15:09,200
Speaker 1: One sellers selling point said that his buddy shoulder fired

2407
02:15:09,240 --> 02:15:12,280
Speaker 1: the gun and broke his collar bone, So he'd recommend

2408
02:15:12,320 --> 02:15:14,160
Speaker 1: you mounted on something if you shoot it again. It's

2409
02:15:14,400 --> 02:15:20,240
Speaker 1: to hear man from a lot of heat behind that. Uh. Now,

2410
02:15:20,320 --> 02:15:24,480
Speaker 1: for today's trivia, we have a stacked room. We have Jim,

2411
02:15:24,560 --> 02:15:28,280
Speaker 1: who knows everything about everything, Doug who also knows everything

2412
02:15:28,280 --> 02:15:30,920
Speaker 1: about everything, and then else we have Richie. He'll find

2413
02:15:30,920 --> 02:15:34,680
Speaker 1: out that's right, Richie is representing all meat eater listeners.

2414
02:15:34,680 --> 02:15:36,920
Speaker 1: So a lot of pressure, Richie. I don't know that

2415
02:15:36,920 --> 02:15:40,920
Speaker 1: everybody's gonna vote for me to represent that. Well that's

2416
02:15:40,960 --> 02:15:44,400
Speaker 1: that's how this works. You represent them all, Richie. A

2417
02:15:44,400 --> 02:15:49,920
Speaker 1: lot of pressure Phil playing music. Look, I need to

2418
02:15:49,960 --> 02:15:54,000
Speaker 1: know what I stand to win everything? How's that had

2419
02:15:54,440 --> 02:16:06,880
Speaker 1: just tend to win everything? Alright? Question one, and like

2420
02:16:06,920 --> 02:16:09,600
Speaker 1: every time we play, this is multiple choice. For the

2421
02:16:09,680 --> 02:16:12,800
Speaker 1: first question, the topic is fishing. This first great question

2422
02:16:12,800 --> 02:16:16,440
Speaker 1: comes to us via Cody aust Hout and rich Relehan.

2423
02:16:16,680 --> 02:16:18,120
Speaker 1: If you have a question you think is right for

2424
02:16:18,200 --> 02:16:20,000
Speaker 1: media to trivia, you can send it to Trivia at

2425
02:16:20,040 --> 02:16:26,000
Speaker 1: the media dot Com. The question is which of the

2426
02:16:26,040 --> 02:16:30,720
Speaker 1: following trout is not actually a trout, rainbow trout, brook trout,

2427
02:16:30,840 --> 02:16:35,480
Speaker 1: golden trout, or brown trout? Which of the following trout

2428
02:16:36,280 --> 02:16:40,800
Speaker 1: is not actually a trout, Rainbow, brooke, golden, or brown.

2429
02:16:40,920 --> 02:16:43,520
Speaker 1: Steve has a question. No, I'm justlating. I already got

2430
02:16:43,520 --> 02:16:50,280
Speaker 1: the answer. Okay, we have a confidence. Steve Jim is

2431
02:16:50,320 --> 02:16:55,920
Speaker 1: e racing the ringer is uh? Questionable? On the first question,

2432
02:16:55,920 --> 02:17:00,320
Speaker 1: does everybody have an answer? Can you repeat the which

2433
02:17:00,360 --> 02:17:03,600
Speaker 1: of the following trout is not actually a trout rainbow

2434
02:17:04,240 --> 02:17:12,200
Speaker 1: brooke golden or brown. Rainbow Brooke golden or brown. Alright,

2435
02:17:12,280 --> 02:17:16,680
Speaker 1: go ahead and reveal your answers. We have Krin saying golden,

2436
02:17:17,320 --> 02:17:20,959
Speaker 1: Doug saying rainbow, Steve saying brook, Jim saying golden, Ross

2437
02:17:21,040 --> 02:17:25,360
Speaker 1: saying golden, Richie saying golden, Phil saying brooke, and Sean

2438
02:17:25,760 --> 02:17:32,960
Speaker 1: saying golden. The correct answer is brook trout and Steve

2439
02:17:33,240 --> 02:17:37,880
Speaker 1: got it correct. Brook Trotter technically members of Phil got

2440
02:17:37,920 --> 02:17:42,920
Speaker 1: it right. I added a fishing podcast every week that's

2441
02:17:42,959 --> 02:17:46,960
Speaker 1: just paying off brook Trotter technically members of the char family.

2442
02:17:47,000 --> 02:17:50,720
Speaker 1: Many historians consider them the most targeted fish in America

2443
02:17:50,840 --> 02:17:53,320
Speaker 1: up until the late eighteen hundreds. That's when brook trout

2444
02:17:53,400 --> 02:17:56,160
Speaker 1: were displaced by stockings of brown trout and rainbow trout

2445
02:17:56,200 --> 02:18:00,720
Speaker 1: across much of their range. Well filler down, you can

2446
02:18:00,720 --> 02:18:06,560
Speaker 1: fill around the board. Topic to the topic is cooking.

2447
02:18:07,440 --> 02:18:11,400
Speaker 1: According to section three nineteen of the Department of Eggs

2448
02:18:11,440 --> 02:18:15,199
Speaker 1: Code of Federal Regulations, for something to legally be called

2449
02:18:15,240 --> 02:18:19,040
Speaker 1: an Italian sausage, it needs to have salt, pepper, and

2450
02:18:19,200 --> 02:18:24,840
Speaker 1: one other spice. What is that third spice? This is

2451
02:18:24,879 --> 02:18:27,560
Speaker 1: a legal definition of an Italian sausage. It needs to

2452
02:18:27,600 --> 02:18:31,560
Speaker 1: have salt, pepper and one other spice. I want you

2453
02:18:31,600 --> 02:18:34,240
Speaker 1: to tell me that third spice. Feeling good about this one?

2454
02:18:34,840 --> 02:18:38,680
Speaker 1: I have no clue feeling very good about this one.

2455
02:18:39,200 --> 02:18:44,960
Speaker 1: Does everybody have an answer? Go ahead and reveal your answers.

2456
02:18:45,000 --> 02:18:49,080
Speaker 1: We have Karin saying Fennel, Doug with no answer, Jim

2457
02:18:49,200 --> 02:18:54,840
Speaker 1: saying Fennel, Ross saying Reguano, Ritchie saying sage, Phil saying Paprika,

2458
02:18:55,000 --> 02:18:58,920
Speaker 1: and Sean without an answer. The correct answer is Fennel.

2459
02:19:00,240 --> 02:19:05,000
Speaker 1: What did you have? Phil? I put Pepa or Star Annie,

2460
02:19:08,040 --> 02:19:12,600
Speaker 1: so Fennel or star. Listen man, I'm like barely Italian.

2461
02:19:14,200 --> 02:19:17,320
Speaker 1: I got an Italian name, but I'm like talking about Sicilian.

2462
02:19:19,520 --> 02:19:22,199
Speaker 1: I did the I did the whole thing. I'm Italian,

2463
02:19:23,000 --> 02:19:25,160
Speaker 1: two percent North African, then a whole bunch of West

2464
02:19:25,320 --> 02:19:27,480
Speaker 1: Western European. Yeah, but he talks about it like he's

2465
02:19:27,680 --> 02:19:32,240
Speaker 1: from the Other rules include that the final product cannot

2466
02:19:32,240 --> 02:19:34,800
Speaker 1: have more than thirty five percent fat or three percent

2467
02:19:34,840 --> 02:19:37,800
Speaker 1: water if the sausage has been smoked, cooked, and cured.

2468
02:19:38,120 --> 02:19:40,440
Speaker 1: Those words must be used in the product name in

2469
02:19:40,480 --> 02:19:43,920
Speaker 1: the same size font as the words Italian sausage, can

2470
02:19:43,920 --> 02:19:46,080
Speaker 1: you whoever wrote fennel, can you raise your hand really quick,

2471
02:19:46,720 --> 02:19:50,480
Speaker 1: Karin Steed? Right. What makes that way more embarrassing for

2472
02:19:50,520 --> 02:19:54,360
Speaker 1: me is that my brother cooked fennel sausage ravioli the

2473
02:19:54,360 --> 02:19:57,640
Speaker 1: other night. I so should have known that there's a

2474
02:19:57,680 --> 02:19:59,920
Speaker 1: sausage that we've been making that we got from the

2475
02:20:00,360 --> 02:20:04,360
Speaker 1: cookbook that our buddy Steve Kendrawt has and meg Nanni

2476
02:20:04,480 --> 02:20:10,440
Speaker 1: is MiG Yanni's like standard sausage. Now it's salt like

2477
02:20:10,560 --> 02:20:14,959
Speaker 1: dear meat and fat, right, ye, salt, black pepper. Final,

2478
02:20:15,800 --> 02:20:21,640
Speaker 1: it's Italian the best. It's like so simple and so good.

2479
02:20:21,680 --> 02:20:23,920
Speaker 1: Everyone eats. It's like holy ship. It's like, dude, that's

2480
02:20:24,000 --> 02:20:34,039
Speaker 1: three things. It is phenomenal plus Question three, the topic

2481
02:20:34,200 --> 02:20:38,039
Speaker 1: is big Game. What state has the largest population of

2482
02:20:38,080 --> 02:20:44,320
Speaker 1: prong horn antelope? What state has the largest population of

2483
02:20:44,360 --> 02:20:52,400
Speaker 1: prong horn antalope? We have some quick answers in the room.

2484
02:20:52,480 --> 02:20:56,680
Speaker 1: Does everybody have an answer? Not? Phil? Phil? Now do

2485
02:20:56,720 --> 02:20:58,959
Speaker 1: us go ahead and reveal your answers. We have Korean

2486
02:20:59,600 --> 02:21:04,720
Speaker 1: saying Wyoming, Wyoming, Wyoming, Wyoming, Wyoming, Wyoming, Phil saying Arizona.

2487
02:21:07,320 --> 02:21:12,720
Speaker 1: The correct answer is Wyoming. Wyoming has a commanding lead

2488
02:21:12,760 --> 02:21:15,279
Speaker 1: on the rest of the Mars. Such a promising start

2489
02:21:15,360 --> 02:21:18,680
Speaker 1: with that bird trout ship. Wyoming has a commanding lead

2490
02:21:18,720 --> 02:21:20,600
Speaker 1: in the rest of America, with about four hundred thousand

2491
02:21:20,640 --> 02:21:23,560
Speaker 1: antelope within its borders. Montana is second at one hundred

2492
02:21:23,600 --> 02:21:26,920
Speaker 1: and twenty five thousand, Colorado third at seventy thousand in

2493
02:21:27,000 --> 02:21:31,000
Speaker 1: New Mexico and South Dakota share fourth place at about

2494
02:21:31,200 --> 02:21:34,480
Speaker 1: a really comfortable lead. Man and their numbers, like any

2495
02:21:34,480 --> 02:21:36,400
Speaker 1: state's animal numbers, fluctuate a lot. I think it was

2496
02:21:36,440 --> 02:21:38,360
Speaker 1: like a decade ago they were at five hundred thousand,

2497
02:21:38,640 --> 02:21:40,360
Speaker 1: So they dominate the rest of the country. When it

2498
02:21:40,400 --> 02:21:45,880
Speaker 1: comes to goats. Question for the topic is biology. Oh,

2499
02:21:45,920 --> 02:21:52,119
Speaker 1: this is a jimmure pressure. I'll blow it sec Yeah. Yeah,

2500
02:21:52,160 --> 02:21:54,400
Speaker 1: what do you got? We had to write in from

2501
02:21:54,440 --> 02:21:58,560
Speaker 1: a biologist saying, can we please stop calling pronghorns pronghorn?

2502
02:21:58,640 --> 02:22:04,279
Speaker 1: Antelone tell what we're going on? Yeah, the topic again

2503
02:22:04,360 --> 02:22:07,600
Speaker 1: is biologies. Is question for this chief vein of the

2504
02:22:07,680 --> 02:22:12,040
Speaker 1: thigh supplies oxygenated blood from the heart to the lower extremities.

2505
02:22:14,120 --> 02:22:18,560
Speaker 1: This chief vein of the thigh supplies oxygenated blood from

2506
02:22:18,600 --> 02:22:23,680
Speaker 1: the heart to the lower extremities. Again, a confident room

2507
02:22:23,760 --> 02:22:26,560
Speaker 1: Karin is even dancing in her chair. She feels so

2508
02:22:26,600 --> 02:22:30,199
Speaker 1: good about her answer. Can you repeat that again? Yes?

2509
02:22:30,879 --> 02:22:33,160
Speaker 1: Who Jim? If you could repeat it? Okay? Are you

2510
02:22:33,200 --> 02:22:38,760
Speaker 1: fact checking me? Now? Uh? This chief vein of the

2511
02:22:38,800 --> 02:22:43,840
Speaker 1: thigh supplies oxygenated blood from the heart to the lower extremities.

2512
02:22:46,120 --> 02:22:50,320
Speaker 1: I love if I got it. Everybody was saying, make

2513
02:22:50,400 --> 02:22:54,560
Speaker 1: Jim feel better and classify this under physiology. I am

2514
02:22:54,600 --> 02:22:59,320
Speaker 1: blaking so hard right now, it's ridiculous. M hm. Do

2515
02:22:59,360 --> 02:23:01,720
Speaker 1: we need a second it? We're good. I know I'm wrong,

2516
02:23:02,160 --> 02:23:04,440
Speaker 1: Go ahead and reveal your answers. We have Karine saying

2517
02:23:04,480 --> 02:23:07,840
Speaker 1: for moral artery, for moral artery, for moral artery, Jim

2518
02:23:07,879 --> 02:23:12,320
Speaker 1: saying vena Kava, Ross saying for moral Richie with no answer,

2519
02:23:13,040 --> 02:23:22,520
Speaker 1: Phil saying for morial and but he's taking to get

2520
02:23:22,520 --> 02:23:25,760
Speaker 1: a point for writing apheal. Mean, that's that's my bad.

2521
02:23:27,000 --> 02:23:31,600
Speaker 1: Correct answer is for moral artery. But I really I've

2522
02:23:31,680 --> 02:23:35,039
Speaker 1: never seen it written. Now, I don't people saying federal

2523
02:23:35,120 --> 02:23:38,000
Speaker 1: and I thought it was aphemeral. That's an art, that's

2524
02:23:38,000 --> 02:23:40,680
Speaker 1: an artery that goes away. Yeah, thank you, Steve. I'm

2525
02:23:40,680 --> 02:23:42,760
Speaker 1: gonna protest that one though, because the vein can't be

2526
02:23:42,800 --> 02:23:47,720
Speaker 1: an artery. Artery can't be a vein. That's why I thought,

2527
02:23:47,760 --> 02:23:53,720
Speaker 1: what blood vessel? I thought of the world. Dude, I

2528
02:23:53,760 --> 02:23:59,880
Speaker 1: think that you got to throw that out, Spencer. I

2529
02:24:00,000 --> 02:24:03,360
Speaker 1: think Spencer gets a negative score. Man, you have to

2530
02:24:03,360 --> 02:24:05,320
Speaker 1: throw it out. I should get plus two. Then, yeah,

2531
02:24:05,320 --> 02:24:08,320
Speaker 1: you gotta throw it out. That was tripped me up to.

2532
02:24:09,240 --> 02:24:13,320
Speaker 1: I'm seeing places that call it a vein, but not like, uh,

2533
02:24:13,560 --> 02:24:18,080
Speaker 1: not educated places. So you you may have me there. Okay,

2534
02:24:19,480 --> 02:24:21,960
Speaker 1: I would give Jim the correct answer. I think Jim

2535
02:24:21,959 --> 02:24:24,200
Speaker 1: would have got it if not throwing it up, but

2536
02:24:24,200 --> 02:24:26,440
Speaker 1: what was everybody would have got it, Jim. Let's just

2537
02:24:26,440 --> 02:24:28,920
Speaker 1: do the honesty thing. You would have gotten it. Yeah.

2538
02:24:28,959 --> 02:24:30,920
Speaker 1: I was thinking for more and then I said, repeat that,

2539
02:24:31,120 --> 02:24:34,200
Speaker 1: oh vein, I can't think of a van. Here's the

2540
02:24:34,200 --> 02:24:36,400
Speaker 1: thing here. But here, here's where you're not thinking it through.

2541
02:24:36,840 --> 02:24:40,760
Speaker 1: He said, supplies blood too. Yeah, so you should have

2542
02:24:40,800 --> 02:24:43,840
Speaker 1: been like, you should have recognized that there was a contradiction,

2543
02:24:44,200 --> 02:24:46,160
Speaker 1: if you're such a Joe smarty pants, I did. That's

2544
02:24:46,160 --> 02:24:50,120
Speaker 1: why I wanted to repeat it. Contradiction. You got a

2545
02:24:50,200 --> 02:24:52,480
Speaker 1: vein supplying and he's never played before, so he might

2546
02:24:52,480 --> 02:24:56,920
Speaker 1: not feel comfortable. Yeah, yeah, I know that Spencer is

2547
02:24:57,000 --> 02:25:00,120
Speaker 1: in fact fallible. I feel bad about the question. I

2548
02:25:00,120 --> 02:25:03,200
Speaker 1: would give Jim credit because he would know better than

2549
02:25:03,440 --> 02:25:10,640
Speaker 1: get Jim credit. But I think everybody was every ephemeral. Yeah,

2550
02:25:11,200 --> 02:25:17,440
Speaker 1: Femeral's no, I'm not gonna argue with you unless see

2551
02:25:18,120 --> 02:25:23,360
Speaker 1: Sean Karen, Doug Steve. In Leonard Lee rust seventy eight

2552
02:25:23,400 --> 02:25:26,080
Speaker 1: book The Deer of North America, he estimates that a

2553
02:25:26,080 --> 02:25:28,920
Speaker 1: white tail shot in the famoral arder will only survive

2554
02:25:29,080 --> 02:25:31,720
Speaker 1: about eighty do one hundred and twenty seconds before it

2555
02:25:31,760 --> 02:25:34,280
Speaker 1: runs out of oxygen in its brain and bloodstream. I

2556
02:25:34,280 --> 02:25:37,640
Speaker 1: can tell you that you think faster or slower man

2557
02:25:37,720 --> 02:25:39,320
Speaker 1: mile man hit one. When I was a little kid,

2558
02:25:39,360 --> 02:25:43,560
Speaker 1: we found it a mile and a half away, but

2559
02:25:43,920 --> 02:25:48,320
Speaker 1: hit nicked right. It's different. He we got there, he

2560
02:25:48,320 --> 02:25:49,960
Speaker 1: didn't have any of the stuff. And remember he took

2561
02:25:50,000 --> 02:25:52,160
Speaker 1: the only thing he had. I can't remember how his

2562
02:25:52,160 --> 02:25:54,440
Speaker 1: word like he had found his arrows somewhere along the

2563
02:25:54,440 --> 02:25:57,440
Speaker 1: way and UH had to use like it took a

2564
02:25:57,879 --> 02:25:59,879
Speaker 1: had to gut it. He didn't have his knife or anything.

2565
02:26:00,160 --> 02:26:02,640
Speaker 1: Remember him taking a one of those rocky mountain broadheads

2566
02:26:02,640 --> 02:26:05,080
Speaker 1: apart and gutting it with one of the single little

2567
02:26:05,080 --> 02:26:10,160
Speaker 1: blades the entire deer. Gutted the entire deer. Wow, I mean,

2568
02:26:10,160 --> 02:26:11,600
Speaker 1: what do you mean how do you got partial part

2569
02:26:11,600 --> 02:26:14,200
Speaker 1: of a deer? I don't know if he just like

2570
02:26:14,280 --> 02:26:15,760
Speaker 1: opened it up and then carry it on with something

2571
02:26:15,800 --> 02:26:17,879
Speaker 1: like use his hands from there or something. No, he did,

2572
02:26:17,959 --> 02:26:19,960
Speaker 1: like he took it apart. And remember him gotting the

2573
02:26:20,000 --> 02:26:22,640
Speaker 1: deer with that little that little wedge of a razor blade. Yeah.

2574
02:26:22,640 --> 02:26:24,800
Speaker 1: I think hog dresses where you leave everything north of

2575
02:26:24,840 --> 02:26:27,320
Speaker 1: the diaphragm. Yeah, they cut. There's the Scots called like

2576
02:26:27,959 --> 02:26:29,920
Speaker 1: like they got a word for it. It's like the

2577
02:26:29,959 --> 02:26:35,200
Speaker 1: diaphragm down, grutching or glotching, diaphragm down, like gut it,

2578
02:26:35,400 --> 02:26:40,760
Speaker 1: gut it, diaphragm down, and they called like whatever the hell. Okay,

2579
02:26:42,640 --> 02:26:45,080
Speaker 1: we are on the question five. The topic is natural history.

2580
02:26:45,120 --> 02:26:48,600
Speaker 1: This next great question comes to us via Mark David Bradford.

2581
02:26:48,680 --> 02:26:49,880
Speaker 1: If you have a question you think is right for

2582
02:26:49,920 --> 02:26:54,000
Speaker 1: media trivia, send it to Trivia at the mediator dot com.

2583
02:26:54,120 --> 02:26:58,439
Speaker 1: Merryweather Lewis brought a dog along for the Core Discovery expedition.

2584
02:26:58,720 --> 02:27:00,800
Speaker 1: It's the only animal to come eat the entire three

2585
02:27:00,879 --> 02:27:03,680
Speaker 1: year journey journey. I need you to either give me

2586
02:27:03,720 --> 02:27:08,240
Speaker 1: the dog's name or tell me it's breed. I don't

2587
02:27:08,280 --> 02:27:12,279
Speaker 1: even know you had a damn dog. There are there's

2588
02:27:12,280 --> 02:27:15,359
Speaker 1: a sad STATU saw somewhere that there are more statues

2589
02:27:15,400 --> 02:27:19,840
Speaker 1: of the dog than there was uh of York. Yes,

2590
02:27:20,440 --> 02:27:23,200
Speaker 1: marywether Lewis brought a dog along for the Core of

2591
02:27:23,240 --> 02:27:26,480
Speaker 1: Discovery expedition. It's the only animal to complete the entire

2592
02:27:26,520 --> 02:27:32,879
Speaker 1: three year journey. I need you to either get I

2593
02:27:32,879 --> 02:27:34,959
Speaker 1: should know the name too, but I can't think. I

2594
02:27:34,959 --> 02:27:38,640
Speaker 1: have no name of the I just had an illustrator

2595
02:27:38,800 --> 02:27:41,200
Speaker 1: illustrate that scene of them killing the first mule. Here

2596
02:27:41,640 --> 02:27:45,000
Speaker 1: it was a dog in it. Okay, great, yep. I

2597
02:27:45,040 --> 02:27:47,520
Speaker 1: had to describe to the illustrator what kind of dog

2598
02:27:47,560 --> 02:27:50,000
Speaker 1: to draw afterwards. I had that dog when they were

2599
02:27:50,040 --> 02:27:52,000
Speaker 1: starving over Low Low Pass and no one thought to

2600
02:27:52,040 --> 02:27:54,800
Speaker 1: eat it. They thought about it. They ate over two

2601
02:27:55,240 --> 02:27:57,280
Speaker 1: dogs on the expedition, but they never ate this dog.

2602
02:27:58,080 --> 02:28:00,160
Speaker 1: No ship. Yeah, I had no idea about this dog. Jim,

2603
02:28:00,240 --> 02:28:02,160
Speaker 1: tell me about the color that they painted the dog.

2604
02:28:02,200 --> 02:28:04,040
Speaker 1: When we're done with this, I want to visit that.

2605
02:28:04,160 --> 02:28:07,640
Speaker 1: Does everybody have an answer? Go ahead and reveal your answers.

2606
02:28:07,640 --> 02:28:10,560
Speaker 1: We have Karin saying a new Foundland. We have Doug

2607
02:28:10,680 --> 02:28:13,800
Speaker 1: saying an American mix, Ak and Matt, Steve saying a

2608
02:28:13,879 --> 02:28:18,480
Speaker 1: blue tiger, blue tick, Jim saying in Newfoundland, Ross saying

2609
02:28:18,520 --> 02:28:24,160
Speaker 1: a wolfhound, Richie saying a hound, uh, Phil saying in Newfoundland,

2610
02:28:24,240 --> 02:28:27,960
Speaker 1: and Shawn saying a bloodhound. The correct answer is it

2611
02:28:28,000 --> 02:28:31,039
Speaker 1: was a Newfoundland named Semen. How do you guys not

2612
02:28:31,200 --> 02:28:37,640
Speaker 1: know this that I've got? That's right? A new Fie?

2613
02:28:37,959 --> 02:28:40,840
Speaker 1: How how do you spell that name? S E A

2614
02:28:41,200 --> 02:28:44,040
Speaker 1: M A N. Now, Steve, watch how this little tidbit

2615
02:28:44,160 --> 02:28:47,039
Speaker 1: ties the game together. On May fourteen, eighteen o five,

2616
02:28:47,600 --> 02:28:50,360
Speaker 1: Lewis and Clark had to perform surgery on an artery

2617
02:28:50,400 --> 02:28:53,119
Speaker 1: and Siemen's hind leg that was severed by beaver bite.

2618
02:28:53,360 --> 02:28:57,560
Speaker 1: My favorite Lewis and Clark, Francis Hunter speculates they would

2619
02:28:57,600 --> 02:28:59,760
Speaker 1: have used a three dollar and fifty cent tourniquet that

2620
02:28:59,760 --> 02:29:02,400
Speaker 1: they purchase from a pharmacy in Philadelphia to stop the bleeding.

2621
02:29:02,560 --> 02:29:06,039
Speaker 1: According to journal entry, Semen never went into shock and

2622
02:29:06,080 --> 02:29:08,720
Speaker 1: made a full recovery ten days later, tagged by a

2623
02:29:08,760 --> 02:29:11,120
Speaker 1: beaver taxed by a how coome That guy never comes

2624
02:29:11,120 --> 02:29:12,720
Speaker 1: on the podcast. Remember I said we should do that

2625
02:29:13,760 --> 02:29:16,560
Speaker 1: grinds getting there. I have a random question about three

2626
02:29:16,800 --> 02:29:19,840
Speaker 1: and fifty cent turn kids that adjusted for inflation, because

2627
02:29:19,879 --> 02:29:25,280
Speaker 1: that seems crazy. It identified it as an axle Turni kid,

2628
02:29:25,280 --> 02:29:28,040
Speaker 1: which I couldn't find anything about that online, so it

2629
02:29:28,120 --> 02:29:31,280
Speaker 1: must be something real special. Now I I'd seen it.

2630
02:29:31,400 --> 02:29:34,840
Speaker 1: Argued about what color Semen was and it said it

2631
02:29:34,920 --> 02:29:38,160
Speaker 1: said that in modern depictions of Semen, he's often black,

2632
02:29:38,200 --> 02:29:40,959
Speaker 1: because that's what a lot of modern Newfoundland's are. But

2633
02:29:41,040 --> 02:29:43,480
Speaker 1: if you look at the oldest paintings of Semen, he

2634
02:29:43,520 --> 02:29:46,680
Speaker 1: was often like white with brown spots or black spots.

2635
02:29:46,680 --> 02:29:48,960
Speaker 1: So what color is the Newfoundland in your book? Ours

2636
02:29:49,000 --> 02:29:53,560
Speaker 1: was black? I think something a little, but it was

2637
02:29:53,680 --> 02:29:58,120
Speaker 1: it was black. Did you get that one ross? No,

2638
02:29:58,240 --> 02:30:03,800
Speaker 1: I don't think anyone got an other. Jim. And one

2639
02:30:03,800 --> 02:30:05,440
Speaker 1: more thing. If you want to be well prepared for

2640
02:30:05,520 --> 02:30:07,720
Speaker 1: emergencies in the field, like Lewis and Clark, meat Eater

2641
02:30:07,800 --> 02:30:10,960
Speaker 1: is now selling a meat Eater Hunter Series acute trauma

2642
02:30:11,040 --> 02:30:13,720
Speaker 1: care Kit. It is everything you'd want in a trauma

2643
02:30:13,760 --> 02:30:17,600
Speaker 1: care kit, including a tourniquet, trauma shears, splint bandages, gauze

2644
02:30:17,720 --> 02:30:25,040
Speaker 1: and more. Is the cost three dollars and cents something

2645
02:30:25,120 --> 02:30:29,840
Speaker 1: like that. Roughly we are halfway through trivia. Looking at

2646
02:30:29,840 --> 02:30:33,680
Speaker 1: the leaderboard. We have Steve and Jim and Karin with

2647
02:30:33,760 --> 02:30:37,080
Speaker 1: four and then the rest of the crowd with roughly two.

2648
02:30:38,040 --> 02:30:41,600
Speaker 1: It's a barn burner. Question six. The topic is conservation.

2649
02:30:42,160 --> 02:30:48,039
Speaker 1: What state has the most game wardens? What state has

2650
02:30:48,160 --> 02:30:55,720
Speaker 1: the most game wardens? Oh? Man, this one, I'm making

2651
02:30:55,720 --> 02:31:03,039
Speaker 1: a wild here I can rationalize my wild ass. Guess

2652
02:31:03,840 --> 02:31:06,760
Speaker 1: what state has the most game wardens? Does everybody have

2653
02:31:06,760 --> 02:31:09,800
Speaker 1: an answer? Go ahead and reveal your answers. We have

2654
02:31:09,920 --> 02:31:14,360
Speaker 1: Karin saying Texas, Doug st Pennsylvania, Steve saying Missouri, Jim

2655
02:31:14,440 --> 02:31:19,080
Speaker 1: saying Texas, Ross Sant Pennsylvania, Richie saying Arizona, Phil sat Colorado,

2656
02:31:19,120 --> 02:31:26,680
Speaker 1: and Shawn Sant Texas. The correct answer is Texas. Texas

2657
02:31:26,760 --> 02:31:29,240
Speaker 1: has the most at four sixty, followed by New York

2658
02:31:29,360 --> 02:31:33,839
Speaker 1: at four hundred, North Carolina at three seventy, and California

2659
02:31:33,959 --> 02:31:37,280
Speaker 1: at three fifty. Ironically, despite North Carolina having the third

2660
02:31:37,320 --> 02:31:39,640
Speaker 1: most game wards in the country, as we discussed on

2661
02:31:39,640 --> 02:31:42,280
Speaker 1: a previous game of trivia, they ranked dead last in

2662
02:31:42,360 --> 02:31:48,840
Speaker 1: game warden salary. Can I say why I went Missouri? Please? No,

2663
02:31:48,920 --> 02:31:52,039
Speaker 1: it doesn't matter. He said, he was an educated guest.

2664
02:31:52,080 --> 02:31:54,640
Speaker 1: Let's let's hear the back they got that. They got

2665
02:31:54,640 --> 02:31:57,640
Speaker 1: that license plate tax, you know, the hell's pay for consation.

2666
02:31:57,760 --> 02:31:59,640
Speaker 1: So I thought maybe they were so flushed with money

2667
02:31:59,720 --> 02:32:04,119
Speaker 1: that we're able to stock up. But New York was second. Second. Wow,

2668
02:32:04,360 --> 02:32:08,040
Speaker 1: think about I was debating between Texas, Florida, and California

2669
02:32:08,280 --> 02:32:13,760
Speaker 1: just because of population. Question seventy topic is gear. What

2670
02:32:14,040 --> 02:32:18,640
Speaker 1: is the most purchased center fire rifle ammunition in America?

2671
02:32:19,720 --> 02:32:24,439
Speaker 1: What is the most purchased centerfire rifle ammunition in America?

2672
02:32:25,080 --> 02:32:33,240
Speaker 1: We're talking caliber here, correct? I feel like there's some Yeah,

2673
02:32:33,360 --> 02:32:41,600
Speaker 1: let's now, buddy, huh, you know this one. Everybody has

2674
02:32:41,640 --> 02:32:44,000
Speaker 1: an answer. It looks like go ahead and reveal your answers.

2675
02:32:44,040 --> 02:32:46,920
Speaker 1: We have Karin saying three o A, Doug saying thirty

2676
02:32:46,920 --> 02:32:50,360
Speaker 1: odds six, Steve saying to twenty three, Jim saying thirty

2677
02:32:50,400 --> 02:32:53,119
Speaker 1: odds six, Ross saying thirty odds six, Richie saying thirty

2678
02:32:53,120 --> 02:32:56,040
Speaker 1: odds six, Phil without an answer, and Sean saying the

2679
02:32:56,160 --> 02:33:00,600
Speaker 1: two three The correct answer is the two three. Remington

2680
02:33:02,520 --> 02:33:10,240
Speaker 1: that I was worried. The nuanced comes from our friends

2681
02:33:10,320 --> 02:33:12,880
Speaker 1: at Federal Premium as well as a number of other sources.

2682
02:33:13,200 --> 02:33:16,920
Speaker 1: The top five most sold rounds are two twenty three Remingtons,

2683
02:33:17,000 --> 02:33:20,959
Speaker 1: three O A Winchester, thirty odd six Springfield, thirty thirty Winchester,

2684
02:33:21,440 --> 02:33:24,920
Speaker 1: and to seventy Winchesters. So that's that's an order, that's

2685
02:33:24,920 --> 02:33:28,640
Speaker 1: in order. Y'all gave pretty relevant answers to twenty three dominates,

2686
02:33:28,640 --> 02:33:30,840
Speaker 1: so along with three O eight because it's also popular

2687
02:33:30,879 --> 02:33:34,119
Speaker 1: among blinkers. Yeah, that's that's so obvious. Once I saw

2688
02:33:34,320 --> 02:33:40,440
Speaker 1: Shawn's board. Question eight, the topic is biology. This next

2689
02:33:40,440 --> 02:33:43,480
Speaker 1: great question comes to us via Paul Province. If you

2690
02:33:43,520 --> 02:33:45,480
Speaker 1: think you have a questions right for Media Trivia, send

2691
02:33:45,480 --> 02:33:48,400
Speaker 1: it to Trivia at the media dot com. An animal

2692
02:33:48,480 --> 02:33:51,840
Speaker 1: most active at dawn and dusk is crepuscular. An animal

2693
02:33:51,879 --> 02:33:55,520
Speaker 1: most active at nighttime is nocturnal, and an animal most

2694
02:33:55,560 --> 02:34:02,400
Speaker 1: active at daytime is blank. An animal most active at

2695
02:34:02,400 --> 02:34:06,520
Speaker 1: don and dusk is crepuscular, most active at night is nocturnal,

2696
02:34:07,160 --> 02:34:14,879
Speaker 1: and an animal most active at daytime is blank. Quick writing,

2697
02:34:14,920 --> 02:34:17,800
Speaker 1: but it did look like it didn't look like confident writing.

2698
02:34:19,920 --> 02:34:22,800
Speaker 1: Everybody have an answer, Go ahead and reveal your answers.

2699
02:34:22,800 --> 02:34:28,000
Speaker 1: We have Karin saying, perky ha ha, Doug saying sonny uh,

2700
02:34:28,040 --> 02:34:32,520
Speaker 1: Steve saying diurnal, Jim saying diurnal, Ross saying awake, Richie

2701
02:34:32,640 --> 02:34:37,560
Speaker 1: saying diurnal. He gets diurnal. We have Phil saying not

2702
02:34:37,600 --> 02:34:41,240
Speaker 1: a vampire, and Sean saying diurnal. The correct answer is

2703
02:34:41,280 --> 02:34:50,880
Speaker 1: diurnal humans and motion Steve, Sean, Richie m humans and

2704
02:34:50,920 --> 02:34:54,600
Speaker 1: most other primates are considered diurnal. But this puts us

2705
02:34:54,640 --> 02:34:56,720
Speaker 1: in the minority when you zoom out a bit, because

2706
02:34:56,760 --> 02:35:00,480
Speaker 1: only about mammals also sleep at night. Me and gimber

2707
02:35:00,520 --> 02:35:05,800
Speaker 1: Neck connect. We have two questions left, and looking at

2708
02:35:05,840 --> 02:35:09,600
Speaker 1: the literal leaderboard, we have Steve and Jim with six

2709
02:35:09,720 --> 02:35:12,960
Speaker 1: right each, and then Sean and Krin with five right each,

2710
02:35:14,120 --> 02:35:18,000
Speaker 1: and the rest of us are the most of us

2711
02:35:18,000 --> 02:35:24,240
Speaker 1: are going to google. Question nine. The topic is public land.

2712
02:35:24,879 --> 02:35:28,199
Speaker 1: What federal agency has the most acres of public land?

2713
02:35:29,600 --> 02:35:32,520
Speaker 1: What federal agency has the most acres of public land?

2714
02:35:32,640 --> 02:35:35,680
Speaker 1: Now I would not accept Department of Interior. I'm looking

2715
02:35:35,680 --> 02:35:47,680
Speaker 1: for an agency within the Department of the Interior. Mm hmmm, damn.

2716
02:35:48,440 --> 02:36:00,240
Speaker 1: And then right, everybody have an answer? Steve, do you yeah?

2717
02:36:00,680 --> 02:36:03,879
Speaker 1: Go ahead and reveal your answers. We have Krin saying

2718
02:36:04,920 --> 02:36:10,040
Speaker 1: uh blm. So you're saying BLM, Doug saying US Forestry,

2719
02:36:10,320 --> 02:36:13,240
Speaker 1: Steve saying b LM, Jim saying b LM, Ross saying

2720
02:36:13,240 --> 02:36:17,440
Speaker 1: b LM, Richie saying National Parks, Phil saying b LM,

2721
02:36:17,520 --> 02:36:22,160
Speaker 1: and Shawn saying b LM. The correct answer is BLM.

2722
02:36:22,160 --> 02:36:25,480
Speaker 1: BLM has two hundred forty eight million acres, which is

2723
02:36:25,520 --> 02:36:28,200
Speaker 1: ten percent of all the land in the country. That's

2724
02:36:28,200 --> 02:36:30,920
Speaker 1: followed by the Forest Service at one hundred and ninety

2725
02:36:31,000 --> 02:36:33,960
Speaker 1: three million acres, US Fish and Wildlife Service at eighty

2726
02:36:34,000 --> 02:36:37,879
Speaker 1: nine million acres, and Park Service at eighty four million acres.

2727
02:36:38,480 --> 02:36:40,920
Speaker 1: I want to say that I wanted it to be forestry.

2728
02:36:42,520 --> 02:36:45,200
Speaker 1: We are onto our last question and we have Steve

2729
02:36:46,000 --> 02:36:49,600
Speaker 1: and Jim tied with seven and Seawan and Karin tied

2730
02:36:49,640 --> 02:36:51,920
Speaker 1: with six, so we could potentially have a four way

2731
02:36:51,959 --> 02:36:58,680
Speaker 1: tied for first place. The topic is fishing. If someone

2732
02:36:58,760 --> 02:37:02,199
Speaker 1: says they caught a limit of copper bellies, what popular

2733
02:37:02,240 --> 02:37:07,560
Speaker 1: game fish are they referring to? If someone says they

2734
02:37:07,600 --> 02:37:11,520
Speaker 1: caught a limit of copper bellies, what popular game fish

2735
02:37:11,760 --> 02:37:16,840
Speaker 1: are they referring to? A lot of pressure for four

2736
02:37:16,879 --> 02:37:28,560
Speaker 1: of you, Steve, Jim, Sean and Karin Karann are you nervous, Jim,

2737
02:37:28,560 --> 02:37:31,120
Speaker 1: are you nervous? Very nervous. I'm not a fish squeezer.

2738
02:37:32,120 --> 02:37:34,360
Speaker 1: I'm gonna lose because of brook trout in this question?

2739
02:37:35,640 --> 02:37:40,920
Speaker 1: Does everybody have an answer? Um, you're gonna come on,

2740
02:37:41,240 --> 02:37:43,520
Speaker 1: bet just you better write something down because you're playing

2741
02:37:43,520 --> 02:37:49,640
Speaker 1: the first place. Here, go ahead and reveal your answers.

2742
02:37:49,680 --> 02:37:54,039
Speaker 1: We have Karin with no answer, Doug saying carp Steve

2743
02:37:54,120 --> 02:37:58,879
Speaker 1: saying blue gill saying pumpkin seed. Steve says we call

2744
02:37:59,000 --> 02:38:03,760
Speaker 1: them rust bellies. Ross saying bass. Richie with no answer,

2745
02:38:04,320 --> 02:38:07,040
Speaker 1: Phil saying smallmouth. That's a good answer, Phil, It's not right.

2746
02:38:07,040 --> 02:38:10,760
Speaker 1: It's a good answer. Sean saying yellow perch. The correct

2747
02:38:10,840 --> 02:38:17,840
Speaker 1: answer is bluegill. Don't they hybridized with pumpkin seeds? That's close, Jim.

2748
02:38:17,879 --> 02:38:19,200
Speaker 1: I don't think I'm gonna give it to you, though,

2749
02:38:20,360 --> 02:38:22,720
Speaker 1: they're not saying. They were given this name because of

2750
02:38:22,800 --> 02:38:24,960
Speaker 1: the vibrant orange and yellow coloration you find on a

2751
02:38:24,959 --> 02:38:28,880
Speaker 1: bluegill's belly, which is most vibrant on males during the spawn.

2752
02:38:28,920 --> 02:38:31,560
Speaker 1: The copper belly moniker is most popular in the South,

2753
02:38:31,680 --> 02:38:36,080
Speaker 1: but according to Encyclopedia Britannica, other common nicknames from bluegill

2754
02:38:36,160 --> 02:38:41,320
Speaker 1: include blue sunfish, sunny sun perch, copper heads, bream brim

2755
02:38:41,320 --> 02:38:45,160
Speaker 1: and roach clowns called big old russ bellies. That's good too.

2756
02:38:45,240 --> 02:38:51,800
Speaker 1: I like that. Steve Winds meat Eater trivia donation. Have

2757
02:38:51,879 --> 02:38:54,840
Speaker 1: we donation. We're still sitting at a hunter box, still

2758
02:38:54,879 --> 02:38:58,640
Speaker 1: at a hondo. I think we should increase it. My donation.

2759
02:38:58,879 --> 02:39:01,360
Speaker 1: I would like my one their dollars to go to

2760
02:39:01,480 --> 02:39:07,080
Speaker 1: the Theodore Roosevelt Conservation Partnership, which I'll point out is

2761
02:39:07,320 --> 02:39:11,680
Speaker 1: very serious about paying for the science on c w D.

2762
02:39:13,480 --> 02:39:17,960
Speaker 1: That's good, Rich, thanks for playing, Thanks for having me.

2763
02:39:18,879 --> 02:39:20,920
Speaker 1: Oh one other thing too, because we talked about this

2764
02:39:20,920 --> 02:39:22,360
Speaker 1: a little bit in the past. Jim, can you give

2765
02:39:22,440 --> 02:39:24,600
Speaker 1: us a heads up on your boys progress from having

2766
02:39:24,640 --> 02:39:26,480
Speaker 1: been pretty banged up in a car wreck. Yeah. I

2767
02:39:26,520 --> 02:39:28,720
Speaker 1: think my son Cody was in a head on collision.

2768
02:39:28,959 --> 02:39:32,560
Speaker 1: I'm back in early October. Both broken legs, badly shuttered arm.

2769
02:39:32,640 --> 02:39:35,200
Speaker 1: But he's got a positive attitude and he's he's going

2770
02:39:35,240 --> 02:39:39,120
Speaker 1: to rehab. He's now walking with with a walker and

2771
02:39:39,120 --> 02:39:41,960
Speaker 1: when he pulls it together, he's gonna go see Luke holmbs. Yes,

2772
02:39:42,040 --> 02:39:44,640
Speaker 1: he is, absolutely. Yeah. Right after the accident, they were

2773
02:39:44,640 --> 02:39:46,600
Speaker 1: they were planning to go to Luke Holms and and

2774
02:39:46,680 --> 02:39:49,480
Speaker 1: we weren't able to go. And then through Steve Um,

2775
02:39:49,560 --> 02:39:51,760
Speaker 1: we're gonna we're gonna be able to let him go.

2776
02:39:51,879 --> 02:39:53,960
Speaker 1: When he gets better, what he's able to, he'll be

2777
02:39:54,000 --> 02:39:55,560
Speaker 1: able to go back and shotgun a beer with him.

2778
02:39:55,760 --> 02:39:59,360
Speaker 1: Oh yeah, but you know what, I bet it won't

2779
02:39:59,360 --> 02:40:05,240
Speaker 1: be as fast, speaking from experience, all right, by thanks

2780
02:40:05,280 --> 02:40:11,080
Speaker 1: for joining anything, I am I missing anything. No, have

2781
02:40:11,160 --> 02:40:13,680
Speaker 1: a good year. Making New Year's resolution. I don't know

2782
02:40:15,000 --> 02:40:17,800
Speaker 1: what should it be. I got one. I just came

2783
02:40:17,879 --> 02:40:19,960
Speaker 1: up in mind. I didn't thought about that before. What's that?

2784
02:40:21,240 --> 02:40:27,240
Speaker 1: Keep on keeping one man ALR everybody. Thanks