1 00:00:11,720 --> 00:00:14,840 Speaker 1: Welcome back to another episode of Cutting the Distance podcast. 2 00:00:14,880 --> 00:00:18,360 Speaker 1: I'm Dirk Durham and this week I have a filmmaker 3 00:00:19,000 --> 00:00:22,119 Speaker 1: with me here, Matt Gagman joining me. 4 00:00:23,200 --> 00:00:26,040 Speaker 2: Welcome Matt, Thank you, Derek, thank you very much for 5 00:00:26,040 --> 00:00:28,400 Speaker 2: having me. I'm very excited to be here with you today. 6 00:00:29,120 --> 00:00:32,720 Speaker 3: Yeah, yeah, thanks for coming on. You've man. 7 00:00:32,760 --> 00:00:35,080 Speaker 1: We've been trying to get together for the last I 8 00:00:35,120 --> 00:00:38,120 Speaker 1: don't know month, I think trying to get together. 9 00:00:38,159 --> 00:00:40,360 Speaker 3: It's like either you're on the road traveling or I'm 10 00:00:40,360 --> 00:00:40,960 Speaker 3: on the road. 11 00:00:40,800 --> 00:00:43,440 Speaker 1: Travel and it's been kind of tough to get together 12 00:00:43,560 --> 00:00:44,199 Speaker 1: and connect. 13 00:00:45,240 --> 00:00:48,200 Speaker 2: Yeah, it's always a hectic fall and obviously with Hanan 14 00:00:48,280 --> 00:00:51,560 Speaker 2: and filming. Yeah, I'm glad we I'm glad we could 15 00:00:51,560 --> 00:00:53,000 Speaker 2: lock this in. It's a long time coming. 16 00:00:53,640 --> 00:00:56,520 Speaker 3: Yeah. Yeah. So how'd you get into filmmaking? 17 00:00:58,760 --> 00:01:00,920 Speaker 2: It's a great question. It was kind of a little 18 00:01:00,920 --> 00:01:03,720 Speaker 2: bit later in life career change. I kind of started 19 00:01:03,720 --> 00:01:06,000 Speaker 2: my career in engineering, spent a lot of time in 20 00:01:06,000 --> 00:01:08,800 Speaker 2: the field and always had a camera with me, and 21 00:01:08,840 --> 00:01:11,560 Speaker 2: then kind of hit a point where I wanted to 22 00:01:11,800 --> 00:01:15,280 Speaker 2: get into more of a creative role and yeah, kind 23 00:01:15,280 --> 00:01:18,200 Speaker 2: of quarter let crisis. I had sold my home and 24 00:01:18,319 --> 00:01:20,600 Speaker 2: moved out West, and I brought some money, gear and 25 00:01:20,640 --> 00:01:22,760 Speaker 2: a camera with me and just kind of made a 26 00:01:22,840 --> 00:01:25,200 Speaker 2: run of it. So it was a sort of a 27 00:01:25,200 --> 00:01:28,759 Speaker 2: trial and error to get started. Still did some contracting 28 00:01:28,800 --> 00:01:31,480 Speaker 2: for some companies back east while I figured out the 29 00:01:32,360 --> 00:01:34,840 Speaker 2: film side of it and started working on some small 30 00:01:34,880 --> 00:01:37,760 Speaker 2: projects down in Salt Lake City, kind of more commercial 31 00:01:37,800 --> 00:01:39,679 Speaker 2: stuff that Salt Lake's got a pretty big, you know, 32 00:01:39,720 --> 00:01:43,720 Speaker 2: sort of film and commercial world. And then yeah, I 33 00:01:43,760 --> 00:01:46,160 Speaker 2: eventually worked my way over to Meat Eater and worked 34 00:01:46,160 --> 00:01:47,720 Speaker 2: with all of you guys there for a little while. 35 00:01:47,760 --> 00:01:51,240 Speaker 2: And yeah, probably back in twenty twenty two, launched my 36 00:01:51,280 --> 00:01:54,200 Speaker 2: production company and I've been, you know, stead away at it. 37 00:01:55,080 --> 00:01:57,520 Speaker 3: Yeah. Nice. So are you doing this full time? 38 00:01:58,040 --> 00:02:01,400 Speaker 2: Yes? Yeh, full time, So running Timeline Media and doing 39 00:02:01,400 --> 00:02:03,320 Speaker 2: a mix of pretty some of my own stuff and 40 00:02:03,360 --> 00:02:05,960 Speaker 2: then filming some some sort of hunting television content for 41 00:02:06,040 --> 00:02:07,240 Speaker 2: some other shows as well. 42 00:02:07,920 --> 00:02:08,960 Speaker 3: Oh that's really cool. 43 00:02:09,360 --> 00:02:09,840 Speaker 2: Yeah. 44 00:02:10,000 --> 00:02:12,240 Speaker 1: Do you do you find it it's easy to stay 45 00:02:12,240 --> 00:02:13,440 Speaker 1: busy as a filmmaker. 46 00:02:14,400 --> 00:02:18,160 Speaker 2: Yeah, I've been really fortunate. I think that I kind 47 00:02:18,160 --> 00:02:20,760 Speaker 2: of built up a pretty good network and built up 48 00:02:20,760 --> 00:02:23,440 Speaker 2: some good relationships early on, so I've been I have 49 00:02:23,600 --> 00:02:26,880 Speaker 2: no shortage of work, particularly on the TV side of things, 50 00:02:26,919 --> 00:02:29,600 Speaker 2: you know, filming some some hunting television shows. I think 51 00:02:29,639 --> 00:02:31,560 Speaker 2: once you kind of get established in that world and 52 00:02:32,080 --> 00:02:34,560 Speaker 2: make some connections and people know that you can tag 53 00:02:34,600 --> 00:02:37,280 Speaker 2: along on a hunt and sort of be an asset, 54 00:02:37,320 --> 00:02:40,600 Speaker 2: then there's a lot of work available. But yeah, took 55 00:02:40,600 --> 00:02:43,040 Speaker 2: a little bit to build up that network, but definitely 56 00:02:43,080 --> 00:02:43,600 Speaker 2: stay busy. 57 00:02:44,520 --> 00:02:47,640 Speaker 1: Sure, sure, probably a lot of word of mouth that 58 00:02:47,720 --> 00:02:50,600 Speaker 1: goes on there. You know, once you do a few 59 00:02:50,639 --> 00:02:52,760 Speaker 1: gigs and they're like, yeah, that guy's great, and he 60 00:02:52,800 --> 00:02:54,800 Speaker 1: knows when to move and when not to move, and like, 61 00:02:54,880 --> 00:02:57,480 Speaker 1: hunting is so different than filming other projects. 62 00:02:57,520 --> 00:02:58,000 Speaker 2: I'm sure. 63 00:02:58,720 --> 00:02:59,920 Speaker 3: Yeah, it's multi fi. 64 00:03:00,160 --> 00:03:04,000 Speaker 1: Said, your inclement weather, you're trying to stay hidden from 65 00:03:04,040 --> 00:03:08,640 Speaker 1: an animal, and then once the SHOT's made, then sometimes 66 00:03:09,200 --> 00:03:12,320 Speaker 1: it's not over right, you know, whether it's tracking animals 67 00:03:12,400 --> 00:03:13,280 Speaker 1: or packing animals. 68 00:03:13,280 --> 00:03:15,000 Speaker 3: It seems like it's it's. 69 00:03:14,840 --> 00:03:18,959 Speaker 1: A pretty pretty pretty pretty big deal. Like it's it's 70 00:03:18,960 --> 00:03:21,720 Speaker 1: not just you know, turn on the camera and pushing 71 00:03:21,720 --> 00:03:22,320 Speaker 1: the go button. 72 00:03:23,400 --> 00:03:25,120 Speaker 2: Yeah, you're definitely a part of the hunt more so 73 00:03:25,160 --> 00:03:27,040 Speaker 2: than you get you know, you're filming other content or 74 00:03:27,080 --> 00:03:29,639 Speaker 2: you're filming other projects. You're sort of outside of it, 75 00:03:29,800 --> 00:03:31,840 Speaker 2: but filming hunts, you're very much there. I mean, whether 76 00:03:31,880 --> 00:03:35,880 Speaker 2: it's a you know, spotting stock couse hunt. I filmed 77 00:03:35,920 --> 00:03:38,640 Speaker 2: an archery couse hunt in Arizona last year and that 78 00:03:38,760 --> 00:03:42,080 Speaker 2: was incredibly challenging and we were successful in the first day, 79 00:03:42,080 --> 00:03:44,880 Speaker 2: but it was that was one of the hardest ounts 80 00:03:44,880 --> 00:03:47,280 Speaker 2: I filmed. And then one of my proudest camera moments 81 00:03:47,360 --> 00:03:50,000 Speaker 2: is actually, you know, stalking in five hundred yards on 82 00:03:50,040 --> 00:03:53,160 Speaker 2: a bedded buck with the guy filming and getting into 83 00:03:53,160 --> 00:03:55,400 Speaker 2: twenty eight yards and making the shot like you're very 84 00:03:55,480 --> 00:03:58,000 Speaker 2: much immersed in the hunt, or you're sitting in a 85 00:03:58,040 --> 00:04:00,160 Speaker 2: stand with a guy for twelve hours hanging in a 86 00:04:00,200 --> 00:04:02,360 Speaker 2: tree waiting for a deer to come by, and you 87 00:04:02,360 --> 00:04:04,120 Speaker 2: know all the stuff that goes along with that, being 88 00:04:04,200 --> 00:04:07,280 Speaker 2: quiet and being stolen stuff. So you're definitely, you know, 89 00:04:07,320 --> 00:04:09,160 Speaker 2: you're definitely very much a part of the hunt instead 90 00:04:09,160 --> 00:04:11,880 Speaker 2: of just a sort of outside observer. Yeah. 91 00:04:11,960 --> 00:04:13,800 Speaker 3: Absolutely, Yeah. 92 00:04:13,880 --> 00:04:16,520 Speaker 1: Well I was, well, I follow you on Instagram and 93 00:04:16,600 --> 00:04:19,400 Speaker 1: I saw where you were promoting a film, you know, 94 00:04:19,560 --> 00:04:23,960 Speaker 1: your latest film called Tracking, a Canine Film. So then 95 00:04:24,000 --> 00:04:25,640 Speaker 1: I got on YouTube and I gave it a watch, 96 00:04:25,680 --> 00:04:28,080 Speaker 1: and man, it was a really cool, really cool film. 97 00:04:28,080 --> 00:04:31,400 Speaker 1: And I've I've had lots of like interest and questions 98 00:04:31,680 --> 00:04:35,120 Speaker 1: about tracking dogs over the years, like as a as 99 00:04:35,160 --> 00:04:37,560 Speaker 1: a longtime hunter, you know, and I've hunted with a 100 00:04:37,600 --> 00:04:40,000 Speaker 1: lot of people and I've hunted a lot myself, and 101 00:04:40,680 --> 00:04:44,640 Speaker 1: you know, sometimes shots are not ideal and they go, 102 00:04:44,880 --> 00:04:46,919 Speaker 1: you know, no matter how hard you try for like 103 00:04:46,960 --> 00:04:50,520 Speaker 1: the perfect close shot, something happens. You know, you can 104 00:04:50,600 --> 00:04:54,039 Speaker 1: hit a limb or whatever. And you know, if you're 105 00:04:54,080 --> 00:04:55,800 Speaker 1: on one of those kind of track jobs, you're just 106 00:04:55,839 --> 00:04:58,000 Speaker 1: like wondering, like, man if I had a track dog, 107 00:04:58,080 --> 00:05:00,600 Speaker 1: like tracking dog, what what could he? 108 00:05:00,920 --> 00:05:04,039 Speaker 3: What could happen? How effective are they can? Man? 109 00:05:04,440 --> 00:05:05,880 Speaker 1: I wish I had one, you know what I mean. 110 00:05:06,680 --> 00:05:08,640 Speaker 1: So watching that film, I was like, oh, this is 111 00:05:08,680 --> 00:05:11,320 Speaker 1: so cool. So I thought I definitely wanted to reach 112 00:05:11,360 --> 00:05:14,400 Speaker 1: out and kind of pick your brain about tracking dogs. 113 00:05:15,080 --> 00:05:17,120 Speaker 2: Yeah. Absolutely, And I appreciate you watching the film. That 114 00:05:17,200 --> 00:05:19,719 Speaker 2: was definitely a you know, a passion project. I have 115 00:05:19,880 --> 00:05:22,120 Speaker 2: a I have a Belgium my own law that in 116 00:05:22,240 --> 00:05:24,440 Speaker 2: conjunction with developing the film, I taught her out of 117 00:05:24,440 --> 00:05:27,400 Speaker 2: blood track. So I got this dog and you know, 118 00:05:27,640 --> 00:05:29,760 Speaker 2: looking for a task and purpose for her. This breed 119 00:05:29,800 --> 00:05:32,480 Speaker 2: in particular kind of needs a job. Otherwise there they 120 00:05:32,520 --> 00:05:34,719 Speaker 2: can get a little unrule week. And so I had 121 00:05:34,760 --> 00:05:37,520 Speaker 2: actually filmed a track with Mark Nny and that was 122 00:05:37,560 --> 00:05:40,039 Speaker 2: the first time that I ever saw tracking dogs in action. 123 00:05:40,920 --> 00:05:43,160 Speaker 2: We were down in Alabama and Mark made a good shot, 124 00:05:43,200 --> 00:05:46,680 Speaker 2: but this buck just piled up and disappeared in the 125 00:05:46,720 --> 00:05:48,960 Speaker 2: brush and we brought in some dogs to track it. 126 00:05:49,040 --> 00:05:50,560 Speaker 2: I just I thought it was the coolest thing I've 127 00:05:50,560 --> 00:05:53,680 Speaker 2: ever seen. It's such an incredible resource. And then the 128 00:05:54,000 --> 00:05:57,279 Speaker 2: handler sort of dog relationship I think is really incredible. 129 00:05:57,320 --> 00:05:59,919 Speaker 2: And you know, I grew up with hounds, you know, 130 00:06:00,000 --> 00:06:03,039 Speaker 2: on quenhounds or raising couonhounds, but this, you know, sort 131 00:06:03,040 --> 00:06:05,120 Speaker 2: of a relationship with these tracking dogs, I think it's 132 00:06:05,120 --> 00:06:08,640 Speaker 2: way more intimate. And Yeah, it's just an incredible resource. 133 00:06:08,680 --> 00:06:11,080 Speaker 2: And through the film, I wanted to just highlight that 134 00:06:11,160 --> 00:06:13,719 Speaker 2: to a broader audience. I want people to know that 135 00:06:13,760 --> 00:06:17,479 Speaker 2: these resources are available and that people us as handlers 136 00:06:17,600 --> 00:06:20,200 Speaker 2: are just really excited to work our dogs. We're really 137 00:06:20,240 --> 00:06:22,960 Speaker 2: passionate about it and we want to help people cover stuff. 138 00:06:24,240 --> 00:06:25,560 Speaker 3: Yeah, yeah, that's awesome. 139 00:06:25,600 --> 00:06:27,880 Speaker 1: It kind of showed through it, like there was some 140 00:06:27,960 --> 00:06:31,680 Speaker 1: interview sections through there, and you know, different handlers talking 141 00:06:31,720 --> 00:06:34,760 Speaker 1: about their dog or why they how they got into 142 00:06:34,839 --> 00:06:40,360 Speaker 1: it and stuff, which was really really interesting. So you 143 00:06:40,440 --> 00:06:44,160 Speaker 1: have a tracking dog, I do what breed is it? 144 00:06:44,200 --> 00:06:47,159 Speaker 2: Since a Belgian mallin law's kind of a like a 145 00:06:47,200 --> 00:06:49,920 Speaker 2: German shepherd point a year, a little bit smaller, little 146 00:06:50,360 --> 00:06:54,120 Speaker 2: little spicyer. They're kind of feisty dogs. But uh yeah, 147 00:06:54,160 --> 00:06:57,640 Speaker 2: so she's just uh, you know, they're used in protection 148 00:06:57,800 --> 00:07:01,360 Speaker 2: and tracking and law enforcement. But for the for this purpose, 149 00:07:01,360 --> 00:07:04,400 Speaker 2: she's incredible. She's got an unbelievable nose, and she wants 150 00:07:04,440 --> 00:07:07,440 Speaker 2: to work. She's got really high drives, so that helps 151 00:07:07,440 --> 00:07:09,520 Speaker 2: immensely with the trackie. She wants to go find stuff 152 00:07:09,520 --> 00:07:10,480 Speaker 2: and she's got no quit. 153 00:07:11,520 --> 00:07:12,200 Speaker 3: How old is she? 154 00:07:13,240 --> 00:07:15,840 Speaker 2: You know, I rescued her so that I think she 155 00:07:15,960 --> 00:07:17,960 Speaker 2: was probably about four when I got her, and so 156 00:07:18,080 --> 00:07:20,360 Speaker 2: now just under five years old. I've had her for 157 00:07:20,400 --> 00:07:23,800 Speaker 2: about eight months now, Okay, yeah, so she had a 158 00:07:23,840 --> 00:07:26,040 Speaker 2: whole life before this. I have no idea she was. 159 00:07:26,360 --> 00:07:29,720 Speaker 2: She was picked up on the streets in Wisconsin, totally 160 00:07:30,680 --> 00:07:32,520 Speaker 2: yeah when he got her and then you know, kind 161 00:07:32,520 --> 00:07:34,720 Speaker 2: of started chaining with her right away. But she's I 162 00:07:34,720 --> 00:07:36,960 Speaker 2: don't know much of her history, but She's taken to 163 00:07:37,040 --> 00:07:38,120 Speaker 2: it really well, thankfully. 164 00:07:38,760 --> 00:07:39,720 Speaker 3: Yeah, that's great. 165 00:07:39,840 --> 00:07:41,240 Speaker 1: Yeah, you know, that was gonna be one of my 166 00:07:41,280 --> 00:07:45,280 Speaker 1: next questions because they say you can't take yourn old 167 00:07:45,280 --> 00:07:49,440 Speaker 1: dog new tricks, and I was wondering how old. 168 00:07:49,840 --> 00:07:50,040 Speaker 3: You know. 169 00:07:50,320 --> 00:07:52,239 Speaker 1: I'm sure ideally, you know, if you had a pup, 170 00:07:52,320 --> 00:07:53,480 Speaker 1: you know, start training them. 171 00:07:53,760 --> 00:07:55,880 Speaker 3: But you know, if someone listening. 172 00:07:55,600 --> 00:07:58,280 Speaker 1: Had a dog who's you know, several years old, you know, 173 00:07:58,680 --> 00:08:01,560 Speaker 1: maybe it's not too late to start training and working 174 00:08:01,560 --> 00:08:02,320 Speaker 1: with the dog on that. 175 00:08:03,120 --> 00:08:05,120 Speaker 2: No, not at all. I mean people will start puppies 176 00:08:05,120 --> 00:08:07,320 Speaker 2: at eight weeks and they'll do you know, deer liver 177 00:08:07,480 --> 00:08:10,440 Speaker 2: drags to get him interested in tracking. Both with her, 178 00:08:11,000 --> 00:08:12,160 Speaker 2: you know, and I do a little bit of other 179 00:08:12,200 --> 00:08:16,320 Speaker 2: sport works and sort of Chairman Dodgsports stuff, IGP and 180 00:08:16,720 --> 00:08:19,640 Speaker 2: American shoots, and there's a component of tracking to that 181 00:08:20,360 --> 00:08:22,800 Speaker 2: that I started working with her. So you kind of 182 00:08:22,880 --> 00:08:24,920 Speaker 2: lay a little track out and there's a big reward 183 00:08:24,920 --> 00:08:27,920 Speaker 2: at the end, and you just start reinforcing that sort 184 00:08:27,960 --> 00:08:30,640 Speaker 2: of defined it and the and the you know, the 185 00:08:30,720 --> 00:08:33,520 Speaker 2: will to track, and then switch that over to Blood. 186 00:08:33,559 --> 00:08:36,160 Speaker 2: So I had a little bit of experience with tracking beforehand, 187 00:08:36,240 --> 00:08:40,200 Speaker 2: but nothing with Blood or kind of any animal stuff. So, 188 00:08:40,320 --> 00:08:43,480 Speaker 2: but she took to it extremely quickly. I think, I 189 00:08:43,559 --> 00:08:45,880 Speaker 2: you know, you show these dogs are incredibly smart and 190 00:08:45,920 --> 00:08:48,240 Speaker 2: you just teach them the game, show them that there's 191 00:08:48,559 --> 00:08:50,520 Speaker 2: a really high value reward at the end of it, 192 00:08:50,559 --> 00:08:52,360 Speaker 2: and they'll work for it, you know, as long as 193 00:08:52,360 --> 00:08:54,400 Speaker 2: they've got a little bit of drive and they can 194 00:08:54,480 --> 00:08:56,800 Speaker 2: understand what you're asking to do. I think you can teach, 195 00:08:57,440 --> 00:08:59,400 Speaker 2: you know, I don't think there's a limitation to what 196 00:08:59,480 --> 00:09:00,800 Speaker 2: dog do you and teach the track? 197 00:09:01,800 --> 00:09:07,280 Speaker 1: Okay, now you mentioned laying out a trail and then 198 00:09:07,360 --> 00:09:10,440 Speaker 1: but it wasn't necessary a blood trail. Could you give 199 00:09:10,480 --> 00:09:11,720 Speaker 1: an example of what that would be. 200 00:09:12,440 --> 00:09:15,560 Speaker 2: Yeah, absolutely so with the sort of the American should 201 00:09:15,559 --> 00:09:18,760 Speaker 2: Center IGP tracking. These again, these are like what do 202 00:09:18,840 --> 00:09:22,280 Speaker 2: dog sport organizations. You'll use their favorite treat and in 203 00:09:22,320 --> 00:09:25,120 Speaker 2: my case, she gets to a raw only diet. So 204 00:09:25,200 --> 00:09:28,200 Speaker 2: for her, it was just dehydrated beef liver, just little 205 00:09:28,280 --> 00:09:30,960 Speaker 2: chunks of liver and you make a footstep and you 206 00:09:31,040 --> 00:09:32,720 Speaker 2: kick your heel in and you just put a little 207 00:09:32,800 --> 00:09:36,480 Speaker 2: treat in that heel. Layout a track and normally we'll 208 00:09:36,480 --> 00:09:38,880 Speaker 2: start with like a circle track, so maybe you do 209 00:09:38,960 --> 00:09:42,400 Speaker 2: twenty paces in a circle, there's a treat in each footstep, 210 00:09:42,440 --> 00:09:43,720 Speaker 2: and then at the end there's a big pile of 211 00:09:43,760 --> 00:09:46,160 Speaker 2: treats or like a hotdog or you know, some sort 212 00:09:46,200 --> 00:09:48,400 Speaker 2: of high value reward. And then you just show them. 213 00:09:48,760 --> 00:09:51,600 Speaker 2: You just point to the footprint, they sniff, they indicate that, hey, 214 00:09:51,640 --> 00:09:53,640 Speaker 2: I know something's in there, and they go to the 215 00:09:53,679 --> 00:09:56,400 Speaker 2: next and you just start running that circle track, so 216 00:09:56,440 --> 00:09:58,400 Speaker 2: they get the idea that hey, if I follow this track, 217 00:09:58,400 --> 00:10:01,080 Speaker 2: there's a big prize. And then from there and you 218 00:10:01,120 --> 00:10:02,840 Speaker 2: go to straight tracks where you may run it out 219 00:10:02,880 --> 00:10:05,480 Speaker 2: one hundred yards in a straight line. Then you start 220 00:10:05,520 --> 00:10:08,200 Speaker 2: adding some angles and then from there that's when the 221 00:10:08,240 --> 00:10:10,920 Speaker 2: blood came into it. So like, you know, she kind 222 00:10:10,960 --> 00:10:12,839 Speaker 2: of understood tracking, and she knew that there was a 223 00:10:12,920 --> 00:10:16,160 Speaker 2: valuable thing, and that's when I started introducing the blood 224 00:10:16,160 --> 00:10:18,520 Speaker 2: for her to kind of make that the thing she 225 00:10:18,520 --> 00:10:19,240 Speaker 2: would seek out. 226 00:10:20,120 --> 00:10:21,800 Speaker 3: Oh that's that's really interesting. 227 00:10:22,280 --> 00:10:25,000 Speaker 1: Yeah, yeah, I in my mind, I was trying to think, 228 00:10:25,200 --> 00:10:27,440 Speaker 1: you know, what that would all look like, and it's 229 00:10:27,440 --> 00:10:30,680 Speaker 1: completely different than I had anticipated in my head. 230 00:10:30,760 --> 00:10:34,120 Speaker 3: So no, that's really cool. I have I've got labs. 231 00:10:34,120 --> 00:10:36,000 Speaker 3: I've got a a black lab. 232 00:10:35,880 --> 00:10:38,360 Speaker 1: Who's like seven years old, and I got a yellow 233 00:10:38,440 --> 00:10:40,160 Speaker 1: lab who's about eight months old. 234 00:10:40,679 --> 00:10:42,440 Speaker 3: And I've always. 235 00:10:42,120 --> 00:10:45,120 Speaker 1: Wanted to work at like trying to train them things 236 00:10:45,160 --> 00:10:49,000 Speaker 1: to be blood trailers, and unfortunately I would whenever I 237 00:10:49,080 --> 00:10:51,960 Speaker 1: go to hunting camp, my dogs are always home. You know, 238 00:10:52,240 --> 00:10:54,080 Speaker 1: I don't take them to camp because they I don't 239 00:10:54,080 --> 00:10:55,640 Speaker 1: want to have to sit at home at camp by 240 00:10:55,679 --> 00:10:58,840 Speaker 1: themselves all the day, all day by themselves, and they 241 00:10:58,920 --> 00:11:01,800 Speaker 1: can be long days and sometimes inclement weather. 242 00:11:01,840 --> 00:11:02,960 Speaker 3: You know, maybe it's hot as heck. 243 00:11:03,000 --> 00:11:05,640 Speaker 1: You know, you don't we don't want them overheating or 244 00:11:05,559 --> 00:11:06,400 Speaker 1: or you know whatever. 245 00:11:06,480 --> 00:11:07,680 Speaker 3: It can't be unattended. 246 00:11:07,760 --> 00:11:11,200 Speaker 1: So yeah, I've been one to kind of train my 247 00:11:11,320 --> 00:11:15,160 Speaker 1: dogs to be able to do that. But that's a 248 00:11:15,280 --> 00:11:18,960 Speaker 1: really cool way to get them started. Now on the video, 249 00:11:19,120 --> 00:11:21,960 Speaker 1: I noticed one of the dogs that looked like they 250 00:11:21,960 --> 00:11:25,040 Speaker 1: were training it with like a patch of deer hide 251 00:11:25,080 --> 00:11:27,520 Speaker 1: or something like doing a hide drag or something. 252 00:11:28,200 --> 00:11:30,040 Speaker 2: Yeah, so that'll be the that'll be the prize at 253 00:11:30,040 --> 00:11:33,400 Speaker 2: the end. So when we start laying, you know, practice practs, 254 00:11:33,440 --> 00:11:35,160 Speaker 2: but out in the real world, we'll use a piece 255 00:11:35,200 --> 00:11:37,880 Speaker 2: of hide and uh, you know, we'll try to we'll 256 00:11:37,920 --> 00:11:39,360 Speaker 2: try to get a hide with a little bit of 257 00:11:39,520 --> 00:11:41,640 Speaker 2: like meat left on the back or something like that, 258 00:11:41,920 --> 00:11:43,480 Speaker 2: and that's what they find at the end, so they 259 00:11:43,520 --> 00:11:46,000 Speaker 2: know they're kind of looking for that. They're they're stepping 260 00:11:46,040 --> 00:11:48,560 Speaker 2: the blood. And then when they get close they can 261 00:11:48,600 --> 00:11:51,000 Speaker 2: smell that hide, and that's the reward. They get to 262 00:11:51,000 --> 00:11:53,040 Speaker 2: tear that thing up. They get to chew on the hide, 263 00:11:53,040 --> 00:11:55,679 Speaker 2: you play tug with it, you get them super exciting 264 00:11:55,679 --> 00:11:57,800 Speaker 2: about it. They can peel some of that meat off, 265 00:11:58,160 --> 00:11:59,760 Speaker 2: and that's the big prizes. They get to carry it 266 00:11:59,760 --> 00:12:02,360 Speaker 2: around at the end, and that's that's to get them 267 00:12:02,400 --> 00:12:04,160 Speaker 2: to kind of go to the final distance. So like 268 00:12:04,200 --> 00:12:06,600 Speaker 2: they you know, set to the blood all way, and 269 00:12:06,640 --> 00:12:09,240 Speaker 2: then here's the hide, here's the inneck and then that's 270 00:12:09,320 --> 00:12:11,840 Speaker 2: so well indicate on it and let you know where 271 00:12:11,840 --> 00:12:14,240 Speaker 2: it is. Because I early on I had her walk 272 00:12:14,320 --> 00:12:16,800 Speaker 2: past a few pieces of hide. She followed the track perfectly, 273 00:12:16,800 --> 00:12:19,360 Speaker 2: and then she just kept going and I didn't lace 274 00:12:19,480 --> 00:12:22,120 Speaker 2: enough value on that hide. And then you get it 275 00:12:22,120 --> 00:12:24,960 Speaker 2: out play with a teacher that that's a fun thing 276 00:12:25,000 --> 00:12:26,920 Speaker 2: and a good thing, and now she'll go right to 277 00:12:27,040 --> 00:12:28,960 Speaker 2: it softle trial and error. 278 00:12:28,960 --> 00:12:30,360 Speaker 3: But yeah, yeah, yeah, she. 279 00:12:30,320 --> 00:12:32,960 Speaker 1: Had to understand that was the goal, right, yep, Yeah, 280 00:12:33,000 --> 00:12:33,520 Speaker 1: that's the price. 281 00:12:33,600 --> 00:12:35,200 Speaker 2: There's that's the fun thing at the end, or the 282 00:12:35,200 --> 00:12:38,680 Speaker 2: tasty thing. She's super food driven, so for me, yeah, yeah, 283 00:12:38,720 --> 00:12:41,320 Speaker 2: Like I started feeding her her dinner at the end 284 00:12:41,360 --> 00:12:44,000 Speaker 2: of the track, so she gets the track and then 285 00:12:44,000 --> 00:12:46,439 Speaker 2: there's a big pila you know, beef liver and chicken 286 00:12:46,480 --> 00:12:48,520 Speaker 2: parts and all that stuff, and that's that's her big 287 00:12:48,559 --> 00:12:50,000 Speaker 2: win is food at the end. 288 00:12:50,520 --> 00:12:51,360 Speaker 3: Oh yeah, yeah. 289 00:12:51,400 --> 00:12:53,800 Speaker 1: So then she's probably like, man, can we just track 290 00:12:53,880 --> 00:12:54,679 Speaker 1: someuth that I'm hungry? 291 00:12:54,720 --> 00:12:56,000 Speaker 3: I want to eat all the time. 292 00:12:56,160 --> 00:12:58,840 Speaker 2: Whenever we're out, she's always sent me, you know, like, yeah, 293 00:12:58,960 --> 00:13:01,000 Speaker 2: we've got a ritual. When we start our track, I 294 00:13:01,080 --> 00:13:03,360 Speaker 2: put a certain harness on her and we kind of 295 00:13:03,360 --> 00:13:05,760 Speaker 2: go through a ritual. I said some stuff I say 296 00:13:05,760 --> 00:13:07,760 Speaker 2: to where probably I don't know if saying anything matters 297 00:13:07,760 --> 00:13:09,719 Speaker 2: for me. It gets me excited to track. But I 298 00:13:09,840 --> 00:13:11,599 Speaker 2: go through a ritual and then she quicks over to 299 00:13:11,640 --> 00:13:14,360 Speaker 2: tracking mode and it's like go time. But whenever we're out, 300 00:13:14,400 --> 00:13:16,560 Speaker 2: she's always scenting. She just got a great nose and 301 00:13:16,600 --> 00:13:19,199 Speaker 2: she's always looking for something. And we've got a ton 302 00:13:19,240 --> 00:13:21,240 Speaker 2: of deer on where I live, so she's always keyed 303 00:13:21,240 --> 00:13:21,720 Speaker 2: in on them. 304 00:13:23,040 --> 00:13:23,720 Speaker 3: That's awesome. 305 00:13:24,080 --> 00:13:26,440 Speaker 1: I used to have a yellow lab back in the day, 306 00:13:26,440 --> 00:13:27,960 Speaker 1: and I did spend a little bit of time with 307 00:13:28,000 --> 00:13:29,840 Speaker 1: her trying to get her to track blood. I would 308 00:13:29,880 --> 00:13:34,559 Speaker 1: take like anytime we'd open a bag or like a 309 00:13:36,040 --> 00:13:39,720 Speaker 1: wrapped up package of elksteak or whatever, then I would 310 00:13:39,720 --> 00:13:40,839 Speaker 1: take it. But they had the blood on it, and 311 00:13:40,880 --> 00:13:42,160 Speaker 1: I take it out in the yard and I kind of, 312 00:13:42,400 --> 00:13:44,600 Speaker 1: you know, drag it out through the yard and then 313 00:13:44,920 --> 00:13:46,600 Speaker 1: when she couldn't see me, you know, and then i'd 314 00:13:46,600 --> 00:13:48,520 Speaker 1: have a little bit of elk me a little you know, 315 00:13:48,760 --> 00:13:51,040 Speaker 1: bite sized tidbit of elk meat out there, and then 316 00:13:51,040 --> 00:13:52,640 Speaker 1: i'd let her and I'm like, come on, yeah, you know, 317 00:13:52,679 --> 00:13:54,680 Speaker 1: try to put get her on this sentence. She would 318 00:13:54,800 --> 00:13:58,679 Speaker 1: kind of find it. And then my brother hit this 319 00:13:58,800 --> 00:14:03,040 Speaker 1: bowl and we were trying to track it and we 320 00:14:03,360 --> 00:14:06,240 Speaker 1: couldn't find it. You know, the thing kind of ducked 321 00:14:06,240 --> 00:14:08,040 Speaker 1: when he hit when he shot, and it hit it 322 00:14:08,120 --> 00:14:11,360 Speaker 1: really high, kind of up in the high shoulder, and 323 00:14:12,400 --> 00:14:14,760 Speaker 1: but we thought, well, you never know, there, it's probably 324 00:14:14,840 --> 00:14:16,520 Speaker 1: not a lethal shot, but you never know. We have 325 00:14:16,600 --> 00:14:18,280 Speaker 1: to try our best. So I went and got her 326 00:14:18,320 --> 00:14:19,960 Speaker 1: and I put her on a leash. Of course, Idaho 327 00:14:20,040 --> 00:14:22,560 Speaker 1: you have to have your dog on a leash, and 328 00:14:22,560 --> 00:14:25,720 Speaker 1: and maybe that's the custom you know, for most states 329 00:14:25,720 --> 00:14:28,320 Speaker 1: are customary for everyone anyway, tracking, I'm not sure. 330 00:14:28,320 --> 00:14:30,920 Speaker 3: I'm not that familiar with it, but they're. 331 00:14:30,920 --> 00:14:32,480 Speaker 2: A little wild. In the South, they can run them 332 00:14:32,520 --> 00:14:34,520 Speaker 2: on GPS collars. We have to we have to be 333 00:14:34,560 --> 00:14:36,600 Speaker 2: on lead in the rocky Mountain states, but down south, 334 00:14:36,640 --> 00:14:38,840 Speaker 2: it's they get to have a little more fun. They 335 00:14:38,840 --> 00:14:39,480 Speaker 2: can just send. 336 00:14:39,400 --> 00:14:44,040 Speaker 1: Them okay, well yeah, yeah, yeah. And it took her 337 00:14:44,040 --> 00:14:45,920 Speaker 1: a minute where you know, I walked her back and 338 00:14:45,960 --> 00:14:47,880 Speaker 1: forth through the brush there kind of where the last 339 00:14:47,880 --> 00:14:49,560 Speaker 1: blood was, and then all of a sudden, it just 340 00:14:49,600 --> 00:14:51,760 Speaker 1: like a light bulb went off and she's like and 341 00:14:51,920 --> 00:14:55,040 Speaker 1: just start pulling and just like I could, I couldn't 342 00:14:55,040 --> 00:14:56,920 Speaker 1: hardly keep up, like she was running me through the 343 00:14:56,920 --> 00:14:59,080 Speaker 1: brush like and it wasn't like once she kind of 344 00:14:59,080 --> 00:15:01,880 Speaker 1: figured out what she was spoke, she ran like she 345 00:15:02,040 --> 00:15:05,840 Speaker 1: was on it. And we crested this ridge and we 346 00:15:05,920 --> 00:15:08,600 Speaker 1: got up there and there was a flock of turkeys, 347 00:15:09,000 --> 00:15:09,840 Speaker 1: and that flock. 348 00:15:09,600 --> 00:15:12,200 Speaker 3: Of turkeys just went everywhere and it was over. 349 00:15:12,360 --> 00:15:15,760 Speaker 1: She was just like a turkey. All she had on 350 00:15:15,800 --> 00:15:17,400 Speaker 1: her head was turkey's at that point. 351 00:15:17,720 --> 00:15:21,120 Speaker 2: Yeah, over stimulated and yeah, yeah, high value prizes. 352 00:15:21,960 --> 00:15:24,680 Speaker 1: Yeah, so we never did find that olk, but I'm 353 00:15:24,920 --> 00:15:26,800 Speaker 1: I know it was a non lethal hit. 354 00:15:27,120 --> 00:15:30,120 Speaker 2: I seen it, ye super high shoulder. But it sounds 355 00:15:30,120 --> 00:15:33,080 Speaker 2: like she understood though, like what she was doing. I mean, yeah, 356 00:15:33,120 --> 00:15:35,440 Speaker 2: you know, they're they're very clear when they're tracking versus 357 00:15:35,440 --> 00:15:36,760 Speaker 2: when they're on a walk about, you know. 358 00:15:37,240 --> 00:15:37,640 Speaker 1: Mm hmm. 359 00:15:38,160 --> 00:15:38,840 Speaker 2: Yeah, I used to. 360 00:15:38,920 --> 00:15:40,440 Speaker 3: I used to take her to camp a lot. 361 00:15:40,800 --> 00:15:42,760 Speaker 1: She was really good to be by herself, and I 362 00:15:42,760 --> 00:15:44,480 Speaker 1: could I could literally leave her in the back of 363 00:15:44,520 --> 00:15:46,560 Speaker 1: my pick up all day. She'd sit back there and 364 00:15:46,560 --> 00:15:49,920 Speaker 1: she'd had water, food, uh, shelter, and I could leave 365 00:15:49,920 --> 00:15:51,320 Speaker 1: her in the back of my truck all day and 366 00:15:51,360 --> 00:15:54,360 Speaker 1: I'd come back and she's there, you know. So one 367 00:15:54,400 --> 00:15:57,200 Speaker 1: day I killed this bowl very close to the truck 368 00:15:57,800 --> 00:16:02,160 Speaker 1: and I shot him and he expired, and like I 369 00:16:02,200 --> 00:16:04,040 Speaker 1: didn't even go look for him yet, And I'm like, 370 00:16:04,120 --> 00:16:06,240 Speaker 1: you know, this would be a great opportunity for to 371 00:16:06,360 --> 00:16:09,880 Speaker 1: let her learn and and find that prize at the end, 372 00:16:09,920 --> 00:16:12,240 Speaker 1: find that elk, And so I went and got her 373 00:16:12,280 --> 00:16:14,600 Speaker 1: and got her on there, and man, she just she 374 00:16:14,680 --> 00:16:17,640 Speaker 1: got right on that track and drug drugged me right 375 00:16:17,640 --> 00:16:19,440 Speaker 1: down the elk. It was a pretty short blood trail, 376 00:16:19,480 --> 00:16:21,680 Speaker 1: but it was funny. When we got to the elk, 377 00:16:21,720 --> 00:16:24,400 Speaker 1: I let her off the lead and she's all sniff, sniff, sniff, 378 00:16:24,440 --> 00:16:28,200 Speaker 1: and immediately she goes back to the hind quarter by 379 00:16:28,240 --> 00:16:32,080 Speaker 1: the the by the the bung and grabs a hold 380 00:16:32,080 --> 00:16:34,640 Speaker 1: of that that tender hide right there and just starts 381 00:16:34,680 --> 00:16:38,160 Speaker 1: tugging like like it was instinctual that Hey, you start 382 00:16:38,200 --> 00:16:40,440 Speaker 1: on your you eat. You need to eat an elk 383 00:16:40,480 --> 00:16:43,440 Speaker 1: from this direction, like I've seen wolves do that on TV. 384 00:16:43,560 --> 00:16:46,800 Speaker 1: I thought, Wow, how's this dang dog, the yellow lab 385 00:16:46,840 --> 00:16:48,400 Speaker 1: know how to start at that in on an elk 386 00:16:48,440 --> 00:16:48,880 Speaker 1: to eat it? 387 00:16:49,560 --> 00:16:51,440 Speaker 2: Yeah, they've got that. Mine does the same thing. But 388 00:16:51,640 --> 00:16:53,640 Speaker 2: super common to see that with the tree because we 389 00:16:53,720 --> 00:16:55,760 Speaker 2: had to. We usually asked the hunter like, hey, or 390 00:16:55,760 --> 00:16:57,080 Speaker 2: what are you gonna do with this animal? Are you 391 00:16:57,120 --> 00:16:59,760 Speaker 2: gonna cat? And you're with Is it okay if she 392 00:16:59,880 --> 00:17:02,600 Speaker 2: not on it for a little while? And they that's 393 00:17:02,640 --> 00:17:04,879 Speaker 2: the spot that seems to be the sweet spot that 394 00:17:04,920 --> 00:17:05,639 Speaker 2: they all go for it. 395 00:17:15,000 --> 00:17:17,480 Speaker 1: As I broke that bowl down and whittled him down, 396 00:17:17,520 --> 00:17:19,600 Speaker 1: and every time I'd have a little tidbit, Man, she's 397 00:17:19,640 --> 00:17:21,040 Speaker 1: just sitting there right there waiting for it. 398 00:17:21,080 --> 00:17:21,199 Speaker 2: Man. 399 00:17:21,280 --> 00:17:23,680 Speaker 1: She just got to eat or fill of little tidbits 400 00:17:23,680 --> 00:17:26,840 Speaker 1: and scraps, so that was awesome. But I never did 401 00:17:26,880 --> 00:17:29,840 Speaker 1: have another opportunity to get her on an elk, which 402 00:17:29,880 --> 00:17:31,800 Speaker 1: I always regret. I thought, you know, dang it, that 403 00:17:31,920 --> 00:17:34,240 Speaker 1: was you know, this is twenty years ago, but I 404 00:17:34,480 --> 00:17:37,919 Speaker 1: regretted not having that opportunity. So with my new pups, 405 00:17:37,920 --> 00:17:40,160 Speaker 1: i'd like to I'd like to do that again sometime. 406 00:17:40,920 --> 00:17:43,199 Speaker 2: And it's pretty easy to get started. And we have 407 00:17:43,200 --> 00:17:45,080 Speaker 2: a lot of people in our organization that have dual 408 00:17:45,080 --> 00:17:47,920 Speaker 2: purpose dogs. You know, we've got folks that have bird 409 00:17:47,920 --> 00:17:50,879 Speaker 2: dogs the blood track, and you know, shed hunting dogs 410 00:17:51,080 --> 00:17:53,760 Speaker 2: a blood track as well, so they can sider a multipurpose. 411 00:17:53,840 --> 00:17:56,520 Speaker 2: I haven't done any you know, other training with her 412 00:17:56,560 --> 00:17:58,960 Speaker 2: other than blood tracking, but there are some folks that 413 00:17:59,000 --> 00:18:02,280 Speaker 2: are really successful differentiating different disciplines with their dogs. So 414 00:18:02,320 --> 00:18:04,879 Speaker 2: even if you've got a retriever, you know, you bet 415 00:18:04,920 --> 00:18:07,040 Speaker 2: an oupen dog, there's a good chance he can teach 416 00:18:07,040 --> 00:18:09,919 Speaker 2: with the blood track as well. And are there some 417 00:18:09,960 --> 00:18:12,280 Speaker 2: people that would argue that, but you know, in our group, 418 00:18:12,320 --> 00:18:14,600 Speaker 2: we've got we've definitely got some multipurpose dogs that do 419 00:18:14,640 --> 00:18:15,520 Speaker 2: a really good job. 420 00:18:16,119 --> 00:18:17,040 Speaker 3: Sure. Sure. 421 00:18:17,400 --> 00:18:19,920 Speaker 1: I have a buddy who is an outfitter and he's 422 00:18:19,960 --> 00:18:24,119 Speaker 1: got bear, bear and cat dogs right yeah, And he 423 00:18:24,200 --> 00:18:26,119 Speaker 1: said there's a couple of them that will track blood. 424 00:18:26,240 --> 00:18:28,159 Speaker 1: So but he hasn't put much effort into it. But 425 00:18:28,480 --> 00:18:30,520 Speaker 1: I'll bet if he worked with him a little bit more, 426 00:18:30,520 --> 00:18:32,880 Speaker 1: he could probably just have some really. 427 00:18:32,680 --> 00:18:35,600 Speaker 2: Good success with that. Absolutely. Yeah. And those dogs are 428 00:18:35,680 --> 00:18:37,360 Speaker 2: I mean, they've got so much drives. All you gonna 429 00:18:37,359 --> 00:18:39,520 Speaker 2: do is, you know, teaching the rules and point in 430 00:18:39,520 --> 00:18:40,960 Speaker 2: the right direction and they'll find it. 431 00:18:41,680 --> 00:18:42,320 Speaker 3: Yeah. 432 00:18:42,680 --> 00:18:42,880 Speaker 2: Yeah. 433 00:18:43,000 --> 00:18:46,679 Speaker 1: Are there are there any particular breeds someone should be 434 00:18:46,680 --> 00:18:51,520 Speaker 1: looking at for tracking, like maybe maybe a French bulldog 435 00:18:51,520 --> 00:18:55,200 Speaker 1: wouldn't be the best, whereas another breed would be excellent. 436 00:18:56,119 --> 00:18:58,000 Speaker 2: Well, it's funny to ask you this is like the 437 00:18:58,040 --> 00:19:00,800 Speaker 2: most contentious topic. Can we send allanization in an our 438 00:19:00,880 --> 00:19:04,200 Speaker 2: group about about breeds so that a really popular breed 439 00:19:04,280 --> 00:19:07,160 Speaker 2: is not that far from your French bulldog which are docsins. 440 00:19:07,720 --> 00:19:11,200 Speaker 2: So there is a ton of tracking there. You saw 441 00:19:11,200 --> 00:19:13,199 Speaker 2: in the film a little Lucy there, that little that 442 00:19:13,240 --> 00:19:16,919 Speaker 2: little Doxy that my buddy Scott owns. She's an incredibly 443 00:19:16,960 --> 00:19:20,080 Speaker 2: accomplished tracking dog and she's tenacious. I mean you think 444 00:19:20,119 --> 00:19:23,160 Speaker 2: a dog bad size would run out of steam pretty quick. 445 00:19:23,200 --> 00:19:25,520 Speaker 2: She's like a little ferret through the through the brush 446 00:19:25,560 --> 00:19:30,040 Speaker 2: and she's unbelievable. So so docsins are really popular. You 447 00:19:30,080 --> 00:19:32,400 Speaker 2: see a lot of catahulas, You see a lot of 448 00:19:33,640 --> 00:19:35,800 Speaker 2: the Bavarian mountain hounds and become a pocket but I 449 00:19:35,800 --> 00:19:37,480 Speaker 2: don't know if you've see those. They were smaller around. 450 00:19:37,520 --> 00:19:41,560 Speaker 2: They're really cool looking little dogs, and uh, that's getting popular. 451 00:19:41,840 --> 00:19:43,520 Speaker 2: A few point of your dogs. You know, we've got 452 00:19:43,520 --> 00:19:46,600 Speaker 2: a couple of German shepherds. I know there's a gal 453 00:19:46,720 --> 00:19:48,720 Speaker 2: as a mall and loss so similar kind of the 454 00:19:49,000 --> 00:19:53,280 Speaker 2: shepherd breeds. But there's a huge variety. I mean, people 455 00:19:53,359 --> 00:19:56,560 Speaker 2: run like anything you can imagine. I mean you've got 456 00:19:56,560 --> 00:20:00,600 Speaker 2: your your bird dogs and your retrievers. It's a big mix. 457 00:20:01,280 --> 00:20:05,920 Speaker 2: But primarily you see a lot of Docssly enough. 458 00:20:06,480 --> 00:20:09,080 Speaker 1: I watched a video shoot. I don't even know where 459 00:20:09,080 --> 00:20:11,040 Speaker 1: I seen it, maybe on a forum. This was probably 460 00:20:11,080 --> 00:20:13,080 Speaker 1: even before Facebook, right, this is on one of the 461 00:20:13,600 --> 00:20:17,960 Speaker 1: hunting forums back when that's what we did. And somebody 462 00:20:18,040 --> 00:20:22,040 Speaker 1: had put a posted a picture of their buck and 463 00:20:22,080 --> 00:20:24,280 Speaker 1: the story how you know that they shot it? And 464 00:20:24,320 --> 00:20:27,200 Speaker 1: it's just starts snowing like crazy. And it came in 465 00:20:27,240 --> 00:20:28,879 Speaker 1: a huge snow that night, and it snowed like put 466 00:20:28,960 --> 00:20:30,240 Speaker 1: down like a foot and a half two feet of 467 00:20:30,280 --> 00:20:35,119 Speaker 1: snow and drifts. And they had called someone, a local 468 00:20:35,160 --> 00:20:39,159 Speaker 1: person who had a tracking dog. When it shows up, 469 00:20:39,200 --> 00:20:42,080 Speaker 1: it's a it's a long haired docs and right this 470 00:20:42,400 --> 00:20:45,080 Speaker 1: this dog looks like it has no business being in 471 00:20:45,240 --> 00:20:50,560 Speaker 1: snow number one or tracking anything, right yeah, And they 472 00:20:50,640 --> 00:20:54,600 Speaker 1: made a little video about it. In fact, and this dog, 473 00:20:54,680 --> 00:20:56,960 Speaker 1: I mean this, there's no way you're gonna find this deer. 474 00:20:57,160 --> 00:20:59,520 Speaker 1: And that little dog it would just like sniffing, It 475 00:20:59,600 --> 00:21:02,080 Speaker 1: sniffed and then just start kind of leaping, leaping through 476 00:21:02,080 --> 00:21:04,680 Speaker 1: the snow. It could barely even get through the snow. 477 00:21:04,720 --> 00:21:07,399 Speaker 1: It is the funniest thing to watch it work. And 478 00:21:08,119 --> 00:21:10,720 Speaker 1: it found that deer. It was completely covered in snow. 479 00:21:10,840 --> 00:21:12,919 Speaker 1: It didn't there wasn't even an antler sticking out. And 480 00:21:12,960 --> 00:21:15,720 Speaker 1: it found that deer like a day and a half later. 481 00:21:16,160 --> 00:21:18,359 Speaker 1: So I thought that was pretty incredible for such a 482 00:21:18,400 --> 00:21:20,159 Speaker 1: neat little dog to be able to find that. 483 00:21:20,240 --> 00:21:23,399 Speaker 2: But yeah, it is. It's remarkable just the time that 484 00:21:24,200 --> 00:21:26,840 Speaker 2: silks are finding animals. After a meeting, we've got thirty 485 00:21:26,880 --> 00:21:30,120 Speaker 2: and forty hour later tracks. It's just truly what these 486 00:21:30,160 --> 00:21:32,600 Speaker 2: dogs can. You know, you can go online and try 487 00:21:32,600 --> 00:21:34,880 Speaker 2: to look up there's all these statistics and figures about 488 00:21:34,880 --> 00:21:37,120 Speaker 2: how much more powerful their sense of smell is, and 489 00:21:37,520 --> 00:21:40,080 Speaker 2: I'm sure it's exponentially more, but I think it works 490 00:21:40,080 --> 00:21:42,439 Speaker 2: in a different way than ours ours does too, you know, 491 00:21:42,480 --> 00:21:45,280 Speaker 2: I imagine it's like someone put it really eloquently, as 492 00:21:45,320 --> 00:21:47,680 Speaker 2: it's like they're they're like painting a scene in their 493 00:21:47,720 --> 00:21:50,439 Speaker 2: mind every time they smell something, whereas you know, we 494 00:21:50,480 --> 00:21:52,679 Speaker 2: smell something it's an odor, we try to correlate what 495 00:21:52,720 --> 00:21:55,240 Speaker 2: it is there. It's opening up this whole visual to 496 00:21:55,320 --> 00:22:00,000 Speaker 2: them and really watching these dogs track on very little signs, 497 00:22:00,119 --> 00:22:01,560 Speaker 2: very little scent. You know, you may have a few 498 00:22:01,560 --> 00:22:04,359 Speaker 2: spots of blood over a few miles, and these dogs 499 00:22:04,400 --> 00:22:07,200 Speaker 2: can just find stuff. I mean, it's really that's the 500 00:22:07,200 --> 00:22:09,680 Speaker 2: biggest part of doing this tracking is just watching them 501 00:22:09,720 --> 00:22:12,879 Speaker 2: be successful. And it's just it's kind of otherworldly how 502 00:22:12,960 --> 00:22:13,800 Speaker 2: good they are at it. 503 00:22:15,119 --> 00:22:18,600 Speaker 1: So what's the best thing you can do with your dog? 504 00:22:18,800 --> 00:22:22,640 Speaker 1: To like, the best thing you can do with your dog, 505 00:22:22,680 --> 00:22:25,399 Speaker 1: whether it's like, okay, I noticed one guy on the 506 00:22:25,400 --> 00:22:28,200 Speaker 1: film said, you know, it's imperative is spend as much 507 00:22:28,240 --> 00:22:31,080 Speaker 1: time with your dog as you can. You know, maybe 508 00:22:31,160 --> 00:22:34,520 Speaker 1: not even like working tracking, just getting to know each other, 509 00:22:34,920 --> 00:22:37,480 Speaker 1: getting to know each other's quirks, personalities and stuff. Would 510 00:22:37,480 --> 00:22:40,359 Speaker 1: you consider that be a pretty high I think like 511 00:22:40,400 --> 00:22:42,120 Speaker 1: one of the best things you can do with your dog. 512 00:22:42,720 --> 00:22:45,359 Speaker 2: Yeah. Absolutely. I mean, whether you're tracking or whether you're 513 00:22:45,400 --> 00:22:47,879 Speaker 2: just building a relationship. And you know, I'm part of 514 00:22:47,880 --> 00:22:49,560 Speaker 2: a working dog clubs, so we spend a lot of 515 00:22:49,560 --> 00:22:52,560 Speaker 2: time training our dogs. And in the beginning, when you 516 00:22:52,600 --> 00:22:54,640 Speaker 2: get a dog, we say this over and over again, 517 00:22:54,760 --> 00:22:57,359 Speaker 2: is just engagement. You're engaging with your dog. You know, 518 00:22:57,560 --> 00:23:00,360 Speaker 2: before we do any kind of obedience or know, any 519 00:23:00,440 --> 00:23:02,520 Speaker 2: kind of high level stuff, you're just you're playing with 520 00:23:02,560 --> 00:23:05,240 Speaker 2: your dog. You're interacting with your dog, maybe as simple 521 00:23:05,280 --> 00:23:07,680 Speaker 2: as like you're walking and you've got treats in your hand, 522 00:23:07,720 --> 00:23:09,359 Speaker 2: and if your dog looks at you once they did 523 00:23:09,400 --> 00:23:11,920 Speaker 2: a treat and then they start correlating, they're like, hey, 524 00:23:11,960 --> 00:23:14,680 Speaker 2: you're the you're the provider of great things, and that 525 00:23:14,720 --> 00:23:17,600 Speaker 2: bond develops. And then when it comes to tracking, I 526 00:23:17,680 --> 00:23:19,560 Speaker 2: think that's the same thing. It's you know, run a 527 00:23:19,560 --> 00:23:22,760 Speaker 2: lot of tracks, you know, practice tracks are great. Get 528 00:23:22,840 --> 00:23:25,120 Speaker 2: get someone to run blind tracks for you. That's when 529 00:23:25,160 --> 00:23:27,760 Speaker 2: I really started to make progress is getting other people 530 00:23:27,760 --> 00:23:30,200 Speaker 2: to run tracks so I don't have that confirmation bias 531 00:23:30,240 --> 00:23:33,040 Speaker 2: of like no, no, I know it's over here. And 532 00:23:33,040 --> 00:23:36,119 Speaker 2: then it's just just time behind your dog. Like you know, 533 00:23:36,160 --> 00:23:38,160 Speaker 2: there's some trappers that may be a little bit more 534 00:23:38,160 --> 00:23:40,360 Speaker 2: selective later in the season, while the tracks they take 535 00:23:40,480 --> 00:23:43,439 Speaker 2: just based on data collected from owners like oh this 536 00:23:43,480 --> 00:23:45,440 Speaker 2: doesn't sound like a fatal shout out it's far away. 537 00:23:45,520 --> 00:23:48,440 Speaker 2: But initially like I will take every tracking call. I 538 00:23:48,440 --> 00:23:50,840 Speaker 2: don't care if they're like I see it dead. I 539 00:23:50,920 --> 00:23:54,119 Speaker 2: just want to get behind her and watch how she indicates, 540 00:23:54,119 --> 00:23:56,800 Speaker 2: how she moves, how she corrects herself, and how she 541 00:23:56,840 --> 00:23:59,720 Speaker 2: corrects me. Like typically I think if the dog does 542 00:23:59,760 --> 00:24:01,920 Speaker 2: something wrong, I just by to fall blame myself as 543 00:24:01,920 --> 00:24:04,840 Speaker 2: the handler, like they know what they're doing. I'm interfering 544 00:24:04,920 --> 00:24:06,919 Speaker 2: some way. So yeah, just the more time you can 545 00:24:06,960 --> 00:24:09,119 Speaker 2: spend with your dog and then behind your dog on 546 00:24:09,160 --> 00:24:11,760 Speaker 2: a track, you know, you just develop that trust. And 547 00:24:12,240 --> 00:24:14,480 Speaker 2: that's like the key takeaway is just trusting your dog. 548 00:24:14,560 --> 00:24:16,880 Speaker 2: We say that that's our mantra over and over again. 549 00:24:16,880 --> 00:24:19,280 Speaker 2: It's just trust your dog they know what they're doing, 550 00:24:19,440 --> 00:24:21,719 Speaker 2: or just along for the ride. And even we get 551 00:24:21,760 --> 00:24:23,800 Speaker 2: some hounters that are like, I'm pretty sure it went 552 00:24:23,880 --> 00:24:26,040 Speaker 2: to the left, and I'm like, he wants to go 553 00:24:26,080 --> 00:24:27,720 Speaker 2: to the ride. I'm just gonna follow her. If I 554 00:24:27,720 --> 00:24:30,000 Speaker 2: start questioning her, this isn't gonna work. So I'm just 555 00:24:30,000 --> 00:24:32,080 Speaker 2: gonna go with my dog and you know, we can 556 00:24:32,160 --> 00:24:36,560 Speaker 2: meet back up whatever. And she she's not wrong. Yeah, 557 00:24:36,560 --> 00:24:38,560 Speaker 2: So it's just it's just trusting that and being able 558 00:24:38,560 --> 00:24:41,160 Speaker 2: to like kind of, you know, advocate for your dog. 559 00:24:42,920 --> 00:24:45,720 Speaker 1: Now as you're tracking, are you like, are you like 560 00:24:45,840 --> 00:24:48,160 Speaker 1: coaxing the dog, encouraging the dog? Are you just like, 561 00:24:48,320 --> 00:24:50,879 Speaker 1: once she gets the scent, you're like, Okay, I'm just 562 00:24:50,880 --> 00:24:51,560 Speaker 1: gonna let her work. 563 00:24:52,200 --> 00:24:53,840 Speaker 2: Yeah, I'm just along for the ride. I try not 564 00:24:53,920 --> 00:24:56,439 Speaker 2: to to. We have some little stuff and you know, 565 00:24:56,920 --> 00:24:58,959 Speaker 2: I'll and I'll add a caveat to this whole thing. 566 00:24:59,040 --> 00:25:02,400 Speaker 2: This is my first whole season tracking, so I'm relatively 567 00:25:02,400 --> 00:25:05,200 Speaker 2: new to this. We've had some great recoveries, we've had 568 00:25:05,200 --> 00:25:07,639 Speaker 2: some non recoveries that turned out to be non fatal. 569 00:25:08,160 --> 00:25:11,040 Speaker 2: But I'm still learning this process. But I'm really fortunate 570 00:25:11,080 --> 00:25:13,280 Speaker 2: to have a great network of people that I've trained 571 00:25:13,320 --> 00:25:16,000 Speaker 2: with and then have helped me. And you know, early on, 572 00:25:16,040 --> 00:25:18,000 Speaker 2: i'd once in practice tracks and you're like, hey, you're 573 00:25:18,040 --> 00:25:20,800 Speaker 2: pushing your dog. So I track on a thirty foot lead, 574 00:25:21,560 --> 00:25:23,240 Speaker 2: and if I'm not at the end of that thirty 575 00:25:23,240 --> 00:25:25,840 Speaker 2: foot lead, I'm I'm probably pushing my dog. So like, 576 00:25:25,880 --> 00:25:28,800 Speaker 2: if she's you know, she stops and she's air scenting, 577 00:25:28,920 --> 00:25:30,919 Speaker 2: or if she's indicating or sniffing and I walked up 578 00:25:30,960 --> 00:25:33,160 Speaker 2: on her, there's a potential that I'm going to push 579 00:25:33,200 --> 00:25:36,320 Speaker 2: her forward and kind of break her concentration off that track. So, 580 00:25:36,960 --> 00:25:38,720 Speaker 2: you know, once I give her the command I used 581 00:25:38,760 --> 00:25:40,920 Speaker 2: to you know, geremany command Sue could go find it, 582 00:25:41,320 --> 00:25:43,119 Speaker 2: she takes off. I let her run out to the 583 00:25:43,160 --> 00:25:46,360 Speaker 2: end of that thirty feet she starts tracking. I put 584 00:25:46,359 --> 00:25:48,600 Speaker 2: a little back tension on it just to kind of 585 00:25:48,640 --> 00:25:50,960 Speaker 2: keep her drive up. She's pulling a little bit, and 586 00:25:51,000 --> 00:25:52,800 Speaker 2: then I just stay back and let her work and 587 00:25:52,840 --> 00:25:55,639 Speaker 2: if she needs to, you know, if she needs to, 588 00:25:55,720 --> 00:25:57,359 Speaker 2: you know, go to the edges of the scent pool. 589 00:25:57,440 --> 00:25:59,480 Speaker 2: She may you know, track a little bit to the right, 590 00:26:00,040 --> 00:26:01,760 Speaker 2: in a little bit to the left to kind of 591 00:26:01,840 --> 00:26:04,320 Speaker 2: get where that concentrated sign is I just letter work 592 00:26:04,359 --> 00:26:07,080 Speaker 2: through it and then off we go. So yeah, I 593 00:26:07,119 --> 00:26:10,159 Speaker 2: try not to. I try not to. I try not 594 00:26:10,200 --> 00:26:13,480 Speaker 2: to interfere, you know, if not much or if not all. 595 00:26:14,920 --> 00:26:16,200 Speaker 3: Yeah. 596 00:26:15,760 --> 00:26:19,800 Speaker 1: I wondered about that long tracking lead too, because I 597 00:26:19,960 --> 00:26:22,360 Speaker 1: noticed in that film a lot of the dogs had 598 00:26:22,359 --> 00:26:23,920 Speaker 1: a really long tracking lead. 599 00:26:23,960 --> 00:26:26,040 Speaker 3: It's like, wow, that's that's a. 600 00:26:25,960 --> 00:26:28,800 Speaker 1: Lot longer than I would have anticipated. But but I 601 00:26:28,800 --> 00:26:31,280 Speaker 1: don't know a thing about it. So that's interesting, which 602 00:26:31,320 --> 00:26:32,920 Speaker 1: makes sense. You want to let you want to kind 603 00:26:32,920 --> 00:26:34,440 Speaker 1: of you don't want to interfere it, right, you don't. 604 00:26:34,480 --> 00:26:36,360 Speaker 1: You want to let them kind of figure it out 605 00:26:36,400 --> 00:26:37,720 Speaker 1: and not distract them. 606 00:26:37,800 --> 00:26:38,600 Speaker 3: So that's good. 607 00:26:38,680 --> 00:26:40,639 Speaker 2: Yeah, And we all have our biases, like you know, 608 00:26:41,040 --> 00:26:43,760 Speaker 2: all of the like you know, uh, got your iDeer 609 00:26:43,800 --> 00:26:45,600 Speaker 2: goes to water every time we'll get out to Uncle 610 00:26:45,680 --> 00:26:48,399 Speaker 2: Uphill and there's all it's like weird little you know, 611 00:26:48,480 --> 00:26:49,879 Speaker 2: we kind of get a bias. You look at the 612 00:26:49,960 --> 00:26:52,120 Speaker 2: landscape and you're like, well, it probably went that way, 613 00:26:52,160 --> 00:26:54,440 Speaker 2: but we don't know that at all. So if you're 614 00:26:54,720 --> 00:26:57,760 Speaker 2: up and you're pushing your dog, you could be pushing 615 00:26:57,760 --> 00:26:59,600 Speaker 2: them off the track simply because you think you know 616 00:26:59,640 --> 00:27:02,520 Speaker 2: more than you know, a dying elk or a blood 617 00:27:02,520 --> 00:27:06,000 Speaker 2: tracking dog. So yeah, getting back that, you know, getting 618 00:27:06,000 --> 00:27:07,800 Speaker 2: back at thirty feet and just letting them work through, 619 00:27:07,800 --> 00:27:10,760 Speaker 2: and I think just gives them all the opportunity to 620 00:27:09,800 --> 00:27:12,359 Speaker 2: get to kind of make the right decisions and figure 621 00:27:12,400 --> 00:27:13,080 Speaker 2: it out on their own. 622 00:27:13,760 --> 00:27:14,040 Speaker 3: Sure. 623 00:27:14,840 --> 00:27:17,639 Speaker 1: Sure, what what do you think would be the worst 624 00:27:17,680 --> 00:27:19,320 Speaker 1: thing you could do for your dog or do to 625 00:27:19,359 --> 00:27:21,639 Speaker 1: your dog if you're trying to train this dog to 626 00:27:22,480 --> 00:27:23,400 Speaker 1: track blood. 627 00:27:23,760 --> 00:27:27,960 Speaker 2: Well that's a great question. I think probably running super 628 00:27:28,000 --> 00:27:30,199 Speaker 2: complicated tracks to begin with, and then your dog not 629 00:27:30,240 --> 00:27:32,879 Speaker 2: winning is probably a huge one. You know, people have this. 630 00:27:33,760 --> 00:27:35,120 Speaker 2: I don't know if this is true, but I've seen 631 00:27:35,160 --> 00:27:38,200 Speaker 2: a few folks try to run these really complex long 632 00:27:38,280 --> 00:27:40,959 Speaker 2: tracks with a bunch of right angles and crossing, you know, 633 00:27:41,000 --> 00:27:44,080 Speaker 2: different mediums, going from grass to gravel to woodland, and 634 00:27:44,119 --> 00:27:46,320 Speaker 2: then the dog doesn't find it, and then they get 635 00:27:46,359 --> 00:27:48,639 Speaker 2: super discouraged. There's no reward at the end. And then 636 00:27:48,640 --> 00:27:50,640 Speaker 2: if you reward them for not finding it, and you're 637 00:27:50,720 --> 00:27:53,479 Speaker 2: creating this terrible habbit of like oh if I just 638 00:27:53,560 --> 00:27:55,520 Speaker 2: if I'm out here, something that is going to happen 639 00:27:55,680 --> 00:27:57,960 Speaker 2: instead of I have to work for this. So I 640 00:27:57,960 --> 00:28:00,000 Speaker 2: think people and I was guilty of this when I started, 641 00:28:00,000 --> 00:28:03,480 Speaker 2: and I waghed a few good one hundred yards straight tracks. 642 00:28:03,480 --> 00:28:05,480 Speaker 2: She did great, and I'm like, cool, we're going for 643 00:28:05,520 --> 00:28:07,520 Speaker 2: five hundred yards and I'm gonna throw some turns in it. 644 00:28:07,560 --> 00:28:10,840 Speaker 2: And they was not good, Like it just did you know. 645 00:28:10,920 --> 00:28:13,840 Speaker 2: She just didn't. She didn't learn the rules early enough, 646 00:28:13,880 --> 00:28:15,840 Speaker 2: and so yeah, I had to kind of put an 647 00:28:15,880 --> 00:28:17,960 Speaker 2: end to that very quickly. But it's not not making 648 00:28:18,000 --> 00:28:21,480 Speaker 2: it too complicated in the beginning, like you must have 649 00:28:21,560 --> 00:28:24,320 Speaker 2: a bunch of victories over and over again and reinforced 650 00:28:24,320 --> 00:28:27,200 Speaker 2: that good things happen if you complete this correctly. 651 00:28:28,560 --> 00:28:30,320 Speaker 3: Yeah, yeah, that's good advice. 652 00:28:31,160 --> 00:28:34,240 Speaker 1: I would I would definitely be the first one to 653 00:28:34,280 --> 00:28:36,320 Speaker 1: be like, all right, cool, you found it. Let's let's 654 00:28:36,359 --> 00:28:39,600 Speaker 1: make this interesting, you know, let's really learn. But but 655 00:28:39,680 --> 00:28:42,000 Speaker 1: like you said, let's give them lots of little victories 656 00:28:42,040 --> 00:28:44,680 Speaker 1: and then maybe work up to that slowly, let's work 657 00:28:44,720 --> 00:28:45,560 Speaker 1: up to those long ones. 658 00:28:45,640 --> 00:28:45,920 Speaker 3: Huh. 659 00:28:46,560 --> 00:28:48,520 Speaker 2: Yeah, And I think that's what ball dog training, whether 660 00:28:48,520 --> 00:28:51,680 Speaker 2: you're training a bird dog or anything like that, it's just, yeah, 661 00:28:51,680 --> 00:28:54,280 Speaker 2: you just gotta make it super fun and super rewarding 662 00:28:54,280 --> 00:28:57,440 Speaker 2: for him. Otherwise they're not dumb. I mean, they get bored, 663 00:28:57,440 --> 00:28:59,400 Speaker 2: they realized that they could break the rules. So it's 664 00:28:59,480 --> 00:29:02,520 Speaker 2: just yeah, you've got to like really reinforce that in 665 00:29:02,560 --> 00:29:03,000 Speaker 2: the beginning. 666 00:29:03,800 --> 00:29:07,040 Speaker 1: Okay, now, how how often are you working with your 667 00:29:07,080 --> 00:29:09,880 Speaker 1: dog training on this or is it like once a 668 00:29:09,960 --> 00:29:10,840 Speaker 1: day once a week. 669 00:29:13,280 --> 00:29:15,560 Speaker 2: Yeah, So I do a like obedience training with her 670 00:29:15,680 --> 00:29:18,520 Speaker 2: and just some some detection stuff every day. Just with 671 00:29:18,600 --> 00:29:21,000 Speaker 2: this breed, they're they're a lot of they're a handful. 672 00:29:21,080 --> 00:29:24,360 Speaker 2: If I don't train her every day, she gets sable 673 00:29:25,400 --> 00:29:28,960 Speaker 2: probably get my couch. So I do about an hour 674 00:29:29,000 --> 00:29:31,320 Speaker 2: of obedience training every day that's going to I've got 675 00:29:31,320 --> 00:29:32,959 Speaker 2: a baseball field that I train at, So I take 676 00:29:33,000 --> 00:29:34,920 Speaker 2: her to the field and we do some healing and 677 00:29:35,520 --> 00:29:38,760 Speaker 2: you know, down commands and just some some basic obedience 678 00:29:38,800 --> 00:29:41,560 Speaker 2: stuff and then i'll lay a track. Nowadays, probably twice 679 00:29:41,600 --> 00:29:43,880 Speaker 2: a week that I'll do a little bit of a 680 00:29:43,920 --> 00:29:46,320 Speaker 2: longer track with her, and that's just to reinforce. I 681 00:29:46,400 --> 00:29:48,920 Speaker 2: might throw a you know, like a right hand turn 682 00:29:49,040 --> 00:29:51,600 Speaker 2: or two into it. But we're tracking a lot this season, 683 00:29:51,680 --> 00:29:53,880 Speaker 2: so I haven't been you know, I was doing daily 684 00:29:53,920 --> 00:29:56,880 Speaker 2: tracks in the beginning, you know, kind of some short 685 00:29:57,200 --> 00:29:59,000 Speaker 2: just some short quick tracks that go you know, lay 686 00:29:59,000 --> 00:30:00,680 Speaker 2: it in the morning and then take route four hours 687 00:30:00,760 --> 00:30:03,000 Speaker 2: later and launch and run the track and she wins 688 00:30:03,040 --> 00:30:05,960 Speaker 2: and to reinforce. But yeah, with the season being busy 689 00:30:06,040 --> 00:30:08,120 Speaker 2: and we've been on the road quite a bit, yeah, 690 00:30:08,200 --> 00:30:09,840 Speaker 2: maybe once or twice a week, I'll actually do a 691 00:30:09,840 --> 00:30:13,400 Speaker 2: practice track with her and then otherwise just every day, 692 00:30:14,160 --> 00:30:16,640 Speaker 2: you know, our kind of fun obedient stuff. I'll throw 693 00:30:16,680 --> 00:30:18,720 Speaker 2: a todd we'll play a little play fight and stuff 694 00:30:18,760 --> 00:30:21,320 Speaker 2: like that, and that keeps her engaged and happy. 695 00:30:22,760 --> 00:30:25,080 Speaker 1: Okay, yeah, that makes that makes a lot of sense. 696 00:30:26,000 --> 00:30:27,640 Speaker 1: I want to switch gears here for a minute, and 697 00:30:27,680 --> 00:30:32,200 Speaker 1: we're gonna do the Pendleton Whiskeys Q and A. This 698 00:30:32,200 --> 00:30:35,160 Speaker 1: this section sponsored by Pendleton Whiskey and And normally I 699 00:30:35,160 --> 00:30:39,600 Speaker 1: read a question from a listener, or play a question 700 00:30:39,680 --> 00:30:43,480 Speaker 1: from a listener, or I get something off of Facebook 701 00:30:43,560 --> 00:30:45,520 Speaker 1: or Instagram. But this one this week. 702 00:30:45,480 --> 00:30:45,920 Speaker 3: Is for me. 703 00:30:46,520 --> 00:30:50,400 Speaker 1: This is a little self self serving here this week. 704 00:30:51,280 --> 00:30:53,080 Speaker 1: And plus I didn't have enough time to like put 705 00:30:53,120 --> 00:30:55,400 Speaker 1: anything out any quite any feelers out to see if 706 00:30:55,440 --> 00:30:57,440 Speaker 1: anybody wanted to ask you a question. 707 00:30:57,680 --> 00:31:01,920 Speaker 3: But so this one's for me as a hunter. 708 00:31:02,520 --> 00:31:04,480 Speaker 1: What are some things to do or not to do 709 00:31:04,840 --> 00:31:08,520 Speaker 1: if you've hit an animal, you can't find it, and 710 00:31:08,560 --> 00:31:10,760 Speaker 1: then you think, you know, I want to get. 711 00:31:10,480 --> 00:31:12,960 Speaker 3: A dog to recover it for me? What what? 712 00:31:12,960 --> 00:31:15,480 Speaker 1: What are some things you should do and what are 713 00:31:15,520 --> 00:31:19,040 Speaker 1: some some things you should definitely should not do before getting. 714 00:31:18,760 --> 00:31:19,720 Speaker 3: A dog on that track? 715 00:31:20,560 --> 00:31:23,360 Speaker 2: That is a million dollar question. That's the perfect question. 716 00:31:23,440 --> 00:31:26,000 Speaker 2: There's so much you can get right in this situation, 717 00:31:26,080 --> 00:31:27,520 Speaker 2: and there's a lot that you can do wrong that 718 00:31:27,760 --> 00:31:30,000 Speaker 2: can impede the dog. So we'll start with the right stuff. 719 00:31:30,800 --> 00:31:32,640 Speaker 2: You know, mark all of your blood. You know, if 720 00:31:32,680 --> 00:31:35,200 Speaker 2: you're using on X, it's off a point. Make sure 721 00:31:35,240 --> 00:31:38,960 Speaker 2: you get the hit side, first blood, last blood. You know, 722 00:31:39,080 --> 00:31:42,240 Speaker 2: be really specific about where you're finding stuff, and then 723 00:31:42,480 --> 00:31:44,800 Speaker 2: take photos of the blood is a huge one. You know, 724 00:31:44,840 --> 00:31:48,280 Speaker 2: if you're if you're tooting archery, if you recover the arrow, 725 00:31:48,360 --> 00:31:50,800 Speaker 2: take pictures of that, like you know, kind of play 726 00:31:50,880 --> 00:31:54,000 Speaker 2: CSI crime scene tech. Take a lot of photos, take notes, 727 00:31:54,560 --> 00:31:56,960 Speaker 2: mark stuff. The more data we have when we start 728 00:31:57,000 --> 00:31:59,440 Speaker 2: the track, you know, I think the better off we are. 729 00:32:01,120 --> 00:32:03,120 Speaker 2: You know, reach out and reaped out and be prepared 730 00:32:03,160 --> 00:32:05,280 Speaker 2: to answer some questions. We're going to ask you stuff 731 00:32:05,320 --> 00:32:08,120 Speaker 2: like how far are you away from the trailhead, how 732 00:32:08,120 --> 00:32:11,000 Speaker 2: do we get to you, Where are you? You know, 733 00:32:11,040 --> 00:32:13,680 Speaker 2: how many people are you with? When did you shoot? 734 00:32:14,360 --> 00:32:16,080 Speaker 2: What did it sound like, what did the animal do? 735 00:32:16,200 --> 00:32:18,280 Speaker 2: What are you shooting? So we'll collect a bunch of 736 00:32:18,320 --> 00:32:21,000 Speaker 2: data as well, so kind of be prepared to answer 737 00:32:21,120 --> 00:32:23,880 Speaker 2: some questions and then some stuff not to do. And 738 00:32:23,960 --> 00:32:26,440 Speaker 2: the biggest thing is don't call twelve of your best 739 00:32:26,440 --> 00:32:29,960 Speaker 2: buddies and grad search for five hours, because you've taken 740 00:32:30,000 --> 00:32:32,840 Speaker 2: any of that cent and you've dispersed it over this giant, 741 00:32:33,680 --> 00:32:35,880 Speaker 2: kind of giant area and it's a really confusing for 742 00:32:35,960 --> 00:32:39,560 Speaker 2: the dog. I mean, I've watched her. Someone walked out 743 00:32:39,600 --> 00:32:43,080 Speaker 2: to a hit site in an alfalfa field, stepped in 744 00:32:43,120 --> 00:32:45,520 Speaker 2: some blood and walked back to their truck. And I 745 00:32:45,600 --> 00:32:47,600 Speaker 2: started around at back, and she followed that straight through 746 00:32:47,600 --> 00:32:51,280 Speaker 2: the truck, followed those bloody bootprints right back to the truck. 747 00:32:51,320 --> 00:32:52,920 Speaker 2: And I'm like, all right, we got to restart. And 748 00:32:52,960 --> 00:32:54,080 Speaker 2: I let her run it. I don't you know, I 749 00:32:54,120 --> 00:32:56,120 Speaker 2: didn't want to pull her off. But yeah, the more 750 00:32:56,160 --> 00:32:58,280 Speaker 2: people you get out in, the more time you spend 751 00:32:58,400 --> 00:33:01,520 Speaker 2: kind of grid searching and stomping around, you just spreading 752 00:33:01,520 --> 00:33:03,920 Speaker 2: scent all over the place, and they can work through it, 753 00:33:03,960 --> 00:33:05,520 Speaker 2: but it just adds a ton of extra work for 754 00:33:05,560 --> 00:33:07,920 Speaker 2: the dog. So you're better off kind of going into 755 00:33:07,960 --> 00:33:11,040 Speaker 2: a clean so you know, mark everything back out and 756 00:33:11,080 --> 00:33:14,320 Speaker 2: then just this is common hunting stuff, but just don't 757 00:33:14,320 --> 00:33:17,000 Speaker 2: push it. We've had a lot of animals get pushed 758 00:33:17,000 --> 00:33:20,640 Speaker 2: this year after you know, liver shots or like kind 759 00:33:20,640 --> 00:33:25,600 Speaker 2: of a single lung you know, you know, quartering away, 760 00:33:25,600 --> 00:33:28,280 Speaker 2: shot it in the pocket, hit a long maybe hit 761 00:33:28,320 --> 00:33:30,480 Speaker 2: the far shoulder, and people are going in super soon 762 00:33:30,520 --> 00:33:33,400 Speaker 2: and bumping them. You know. We ran a track this year. 763 00:33:33,640 --> 00:33:36,320 Speaker 2: It was a three and a half mile track with 764 00:33:36,520 --> 00:33:38,040 Speaker 2: just a little bit of blood at the hit site 765 00:33:38,080 --> 00:33:40,160 Speaker 2: and then maybe we found one drop of blood a 766 00:33:40,200 --> 00:33:42,320 Speaker 2: mile in and then we hit a meadow when this 767 00:33:42,360 --> 00:33:44,400 Speaker 2: thing was gone. So three and a half miles seems 768 00:33:44,440 --> 00:33:46,840 Speaker 2: like a long way to track, but for a wound oul, 769 00:33:46,840 --> 00:33:50,160 Speaker 2: because that's up and moving, that's minutes, right, Yeah, So 770 00:33:50,440 --> 00:33:53,200 Speaker 2: just that like back out, be patient, you know, like 771 00:33:53,720 --> 00:33:55,760 Speaker 2: liver shot, it's okay to way twelve hours, we can 772 00:33:55,760 --> 00:33:56,800 Speaker 2: come the next day in track. 773 00:33:57,280 --> 00:33:57,640 Speaker 3: Okay. 774 00:33:57,960 --> 00:33:58,600 Speaker 2: I think that's it. 775 00:33:58,840 --> 00:34:03,320 Speaker 1: Yeah, yeah, yeah, that's great advice because I think I 776 00:34:03,320 --> 00:34:06,800 Speaker 1: think a lot of times people by the time they think, oh, 777 00:34:06,920 --> 00:34:08,759 Speaker 1: this is our last resort is to get a dog 778 00:34:08,800 --> 00:34:09,040 Speaker 1: on it. 779 00:34:09,120 --> 00:34:10,680 Speaker 3: We've grid searched for hours. 780 00:34:10,960 --> 00:34:15,640 Speaker 1: That's that's like the wrong The wrong mindset I think 781 00:34:16,520 --> 00:34:21,880 Speaker 1: is having all your buddies cover every square engine. Then 782 00:34:21,920 --> 00:34:24,319 Speaker 1: call the dog, like when it looks like it's a 783 00:34:24,360 --> 00:34:25,799 Speaker 1: bad hit and it's not going to be a great 784 00:34:25,800 --> 00:34:28,840 Speaker 1: blood trail, like you said, back out and get a 785 00:34:28,840 --> 00:34:31,160 Speaker 1: hold of dog. And then the way they have fresh, 786 00:34:31,280 --> 00:34:33,600 Speaker 1: fresh trail to run and it's probably going to be 787 00:34:33,600 --> 00:34:34,880 Speaker 1: a lot more effective. 788 00:34:34,960 --> 00:34:36,400 Speaker 3: Yeah, it makes a lot of sense. 789 00:34:36,920 --> 00:34:39,920 Speaker 2: Absolutely. And another thing, don't worry about weather. If it rains, 790 00:34:39,920 --> 00:34:42,720 Speaker 2: it's better for the dob Wow. I don't know the science, 791 00:34:42,760 --> 00:34:46,000 Speaker 2: but whatever recosts to use or intensifies the sense. So like, 792 00:34:46,320 --> 00:34:48,759 Speaker 2: don't worry about weather, don't panic if it's raining or 793 00:34:48,800 --> 00:34:51,000 Speaker 2: drisaline or a little bit of snow. You know, the 794 00:34:51,040 --> 00:34:53,719 Speaker 2: dogs can still track. And for your example, that that 795 00:34:53,800 --> 00:34:56,359 Speaker 2: little dots from you know, leaping like a kyo through 796 00:34:56,400 --> 00:34:58,880 Speaker 2: the snow. They the weather doesn't foller them. 797 00:34:59,160 --> 00:35:03,160 Speaker 1: Yeah, that's man, that's awesome. That's that's good information. 798 00:35:03,239 --> 00:35:03,600 Speaker 3: I think. 799 00:35:03,880 --> 00:35:08,480 Speaker 1: I think a lot of folks would would definitely not 800 00:35:08,640 --> 00:35:10,520 Speaker 1: do that, you know, they would definitely try to grid 801 00:35:10,560 --> 00:35:12,399 Speaker 1: search and all that before they found it. So that's 802 00:35:12,440 --> 00:35:13,120 Speaker 1: good information. 803 00:35:13,800 --> 00:35:16,520 Speaker 2: Yeah, so everyone you want to find your animal, I understand. 804 00:35:16,560 --> 00:35:19,000 Speaker 1: But yeah, yeah me give it a smart about it. 805 00:35:19,200 --> 00:35:20,120 Speaker 3: Yep, give me some time. 806 00:35:20,400 --> 00:35:29,800 Speaker 2: Yeah. 807 00:35:29,840 --> 00:35:33,520 Speaker 1: So during that film we talked a lot about this 808 00:35:33,680 --> 00:35:38,320 Speaker 1: organization called Rocky Mountain Big Game Recovery and it sounds 809 00:35:38,360 --> 00:35:43,520 Speaker 1: like a network of blood tracking folks. Can you can 810 00:35:43,560 --> 00:35:45,399 Speaker 1: you talk to talk about that a little bit? 811 00:35:45,800 --> 00:35:47,680 Speaker 2: Yeah? Absolutely, And you know, we touched on this in 812 00:35:47,719 --> 00:35:51,239 Speaker 2: the film. My friend Scott started this organization back in 813 00:35:51,239 --> 00:35:55,040 Speaker 2: twenty nineteen, uh, you know, and it's the catalyst was 814 00:35:55,120 --> 00:35:57,680 Speaker 2: him seeking a tracking dog and you know, kind of 815 00:35:57,680 --> 00:36:00,000 Speaker 2: getting to experience and it started training his own dogs, 816 00:36:00,640 --> 00:36:02,160 Speaker 2: and it was a way to get a group of 817 00:36:02,160 --> 00:36:05,319 Speaker 2: people together that are really passionate about tracking and make 818 00:36:05,360 --> 00:36:08,280 Speaker 2: it more accessible to the to the general public at large. 819 00:36:08,640 --> 00:36:11,000 Speaker 2: You know, Like I think for a long time, tracking 820 00:36:11,080 --> 00:36:12,759 Speaker 2: was just hey, I know a guy, I know, a gal, 821 00:36:13,440 --> 00:36:15,719 Speaker 2: sort of word of mouth, people advertising at their local 822 00:36:15,760 --> 00:36:18,200 Speaker 2: hunting shop and stuff like this. But with Rocky mount 823 00:36:18,239 --> 00:36:21,640 Speaker 2: Big Recovery, it's uh, you know, on on the website, 824 00:36:21,680 --> 00:36:23,640 Speaker 2: we have a map that says find a tracker and 825 00:36:23,680 --> 00:36:25,680 Speaker 2: you can put in your zip code and it'll show 826 00:36:25,719 --> 00:36:28,480 Speaker 2: a map with the nearest tracker and their contact information, 827 00:36:29,320 --> 00:36:31,160 Speaker 2: so you can reach out and request the track. But 828 00:36:31,200 --> 00:36:34,200 Speaker 2: the nice thing is we all keep in contact. We 829 00:36:34,239 --> 00:36:37,080 Speaker 2: all have a WhatsApp running and a private Facebook page. 830 00:36:37,080 --> 00:36:39,040 Speaker 2: So if I say, like I can't track and share it, 831 00:36:39,080 --> 00:36:42,320 Speaker 2: and I've got another track of Jannah tracker of Janna 832 00:36:42,320 --> 00:36:44,760 Speaker 2: who's just a couple of hours away, I'll just say Janet, 833 00:36:44,760 --> 00:36:47,040 Speaker 2: can you come take this? And she'll come on the track. 834 00:36:47,160 --> 00:36:50,960 Speaker 2: So we've got a pretty robust network growing and very 835 00:36:51,040 --> 00:36:54,319 Speaker 2: seldomly are we not available to track for folks. So, 836 00:36:54,719 --> 00:36:57,600 Speaker 2: and it's just it's a lot of really good people. 837 00:36:57,680 --> 00:37:01,040 Speaker 2: You'll see some of them in the film where we're nerds. 838 00:37:01,080 --> 00:37:04,759 Speaker 2: We're really passionate about our dogs. It's a yeah, we're 839 00:37:04,800 --> 00:37:06,560 Speaker 2: a little bit a little bit crazy about it, but 840 00:37:06,960 --> 00:37:10,720 Speaker 2: uh yeah, we love working our dogs, we love helping hunters. 841 00:37:10,719 --> 00:37:13,600 Speaker 2: We're all hunters. I mean, we're a hunting organization, and 842 00:37:13,680 --> 00:37:16,600 Speaker 2: so I think it's just a uh, you know, it's 843 00:37:16,640 --> 00:37:18,680 Speaker 2: just an active service that we all really enjoy being 844 00:37:18,680 --> 00:37:19,120 Speaker 2: a part of. 845 00:37:20,560 --> 00:37:21,400 Speaker 3: That's really cool. 846 00:37:22,120 --> 00:37:25,040 Speaker 1: Now I've seen like some ribbons and like sort of 847 00:37:25,280 --> 00:37:28,000 Speaker 1: do you like do you and your dog get certified 848 00:37:28,120 --> 00:37:30,759 Speaker 1: before you become like a member of the of the 849 00:37:30,840 --> 00:37:33,520 Speaker 1: trackers per se the network. 850 00:37:34,239 --> 00:37:37,280 Speaker 2: Yeah, you can. So there's an organization, United Blood Trackers, 851 00:37:37,680 --> 00:37:39,879 Speaker 2: and so they're kind of a bigger organization. They've got 852 00:37:39,920 --> 00:37:42,800 Speaker 2: folks all over the country, big presence in the Midwest, 853 00:37:43,200 --> 00:37:46,239 Speaker 2: and they do do certification programs. And you've got three 854 00:37:46,320 --> 00:37:50,640 Speaker 2: levels your UBT one, two, and three. One's pretty basic, 855 00:37:50,719 --> 00:37:53,479 Speaker 2: two's definitely a more challenging, and three is nuts. There's 856 00:37:53,560 --> 00:37:58,640 Speaker 2: like water crossings and stuff hidden in rivers and backtracking 857 00:37:58,680 --> 00:38:01,239 Speaker 2: and all kinds of it's sort of a I don't 858 00:38:01,239 --> 00:38:03,200 Speaker 2: know how many threes there are, but a lot more 859 00:38:03,239 --> 00:38:05,719 Speaker 2: prival ones for the UBT ones and twos, and so 860 00:38:05,840 --> 00:38:08,399 Speaker 2: you don't necessarily have to have a certification to offer 861 00:38:08,440 --> 00:38:11,880 Speaker 2: your tracking services. But when you do get your certification, 862 00:38:12,040 --> 00:38:14,560 Speaker 2: it shows up on the map that you're a certified tracker. 863 00:38:15,520 --> 00:38:18,360 Speaker 2: So I think it's a good way to let folks 864 00:38:18,400 --> 00:38:20,200 Speaker 2: know all that you're serious about it. And then I 865 00:38:20,280 --> 00:38:22,319 Speaker 2: also just think it's fun to kind of run through 866 00:38:22,360 --> 00:38:25,920 Speaker 2: Downce your dog just to go have that experience. And 867 00:38:26,000 --> 00:38:29,120 Speaker 2: the judges are phenomenal, you know, we do. We did 868 00:38:29,120 --> 00:38:31,680 Speaker 2: our first annual Seminar LA I believe it was last 869 00:38:31,680 --> 00:38:34,600 Speaker 2: March down in now Bailey, Colorado, and so we ran 870 00:38:34,640 --> 00:38:36,279 Speaker 2: it out a big scout camp and we brought in 871 00:38:36,360 --> 00:38:38,440 Speaker 2: trackers small over the country. We had people drive all 872 00:38:38,480 --> 00:38:41,800 Speaker 2: the way from Florida, the Upper Midwest, the East Coast, 873 00:38:42,200 --> 00:38:44,720 Speaker 2: stayed at this branch and we did a bunch of certifications, 874 00:38:44,840 --> 00:38:47,440 Speaker 2: ran a bunch of dogs, and then did a big workshop. 875 00:38:47,480 --> 00:38:49,520 Speaker 2: We did everything from like, you know, we have a 876 00:38:49,520 --> 00:38:51,480 Speaker 2: woman in our group as a veterinarian, and she did 877 00:38:51,480 --> 00:38:54,360 Speaker 2: a how to care for your dog and gear breakdown 878 00:38:54,480 --> 00:38:56,759 Speaker 2: for stuff that happens in the field, a bunch of 879 00:38:56,800 --> 00:39:00,919 Speaker 2: regulation stuff, you know, different tracking training, and so yeah, 880 00:39:00,920 --> 00:39:02,719 Speaker 2: we're going to run down again in this spring and 881 00:39:03,239 --> 00:39:05,480 Speaker 2: try to bring people out and certify some more dogs 882 00:39:05,480 --> 00:39:07,080 Speaker 2: and get some more teams on the map. 883 00:39:08,160 --> 00:39:09,160 Speaker 3: Oh that's awesome. 884 00:39:09,440 --> 00:39:11,719 Speaker 1: I was looking at the website and I noticed that 885 00:39:11,840 --> 00:39:14,520 Speaker 1: it said that the date was to be determined still. 886 00:39:15,040 --> 00:39:19,080 Speaker 1: But yeah, if anyone's interested in attending that, then do 887 00:39:19,200 --> 00:39:23,000 Speaker 1: they have to sign up ahead of time? Probably once 888 00:39:23,040 --> 00:39:25,400 Speaker 1: they determine what the date is, that probably be a 889 00:39:25,520 --> 00:39:28,440 Speaker 1: way to sign up and get your name on the list. 890 00:39:29,239 --> 00:39:30,600 Speaker 2: Yeah, and I think we should be sending that out 891 00:39:30,600 --> 00:39:32,720 Speaker 2: pretty shortly. I think we'll give them Mother's Day weekend. 892 00:39:32,760 --> 00:39:35,080 Speaker 2: So sorry everybody in the club if I was wrong 893 00:39:35,120 --> 00:39:37,080 Speaker 2: about that, but I know we had talked about it 894 00:39:37,080 --> 00:39:39,480 Speaker 2: in our last monthly meeting. And then yeah, you'll register. 895 00:39:39,640 --> 00:39:42,480 Speaker 2: And what's nice about this camp is it's got just 896 00:39:42,520 --> 00:39:44,359 Speaker 2: a ton of different cabins, so there's actually you can 897 00:39:44,400 --> 00:39:46,400 Speaker 2: get a place to stay. You can bring a camper, 898 00:39:46,640 --> 00:39:48,359 Speaker 2: you can bring an RV, you can pitch a tent, 899 00:39:48,640 --> 00:39:50,600 Speaker 2: but they've got cabins available, so you can run a 900 00:39:50,640 --> 00:39:52,399 Speaker 2: cabin out, have a place for you and your dog 901 00:39:52,480 --> 00:39:54,759 Speaker 2: and all your gear. And then there's the big main 902 00:39:54,840 --> 00:39:59,600 Speaker 2: hall where we do all the you know, workshops and lessons, 903 00:39:59,680 --> 00:40:02,239 Speaker 2: and then from there we'd run the tracks. It's all, 904 00:40:02,360 --> 00:40:04,440 Speaker 2: you know, a bunch of private national forest and we'll 905 00:40:04,520 --> 00:40:07,239 Speaker 2: run tracks and people will go certify. And you know, 906 00:40:07,280 --> 00:40:08,600 Speaker 2: we've got some folks that are going to go for 907 00:40:08,640 --> 00:40:10,719 Speaker 2: their Level one and two in the same weekend, so 908 00:40:10,719 --> 00:40:13,840 Speaker 2: they'll run two tests and I think we've got maybe 909 00:40:13,840 --> 00:40:15,439 Speaker 2: one or two folks that are going to go for three, 910 00:40:15,520 --> 00:40:17,560 Speaker 2: which I'm going to film that. That's going to be 911 00:40:17,560 --> 00:40:20,080 Speaker 2: a spectacle. It's a crazy long track with a bunch 912 00:40:20,080 --> 00:40:23,520 Speaker 2: of obstacles and yeah and looking forward to it. 913 00:40:23,880 --> 00:40:28,239 Speaker 1: Oh, that's that's incredible. It's just crazy how smart and 914 00:40:30,040 --> 00:40:33,480 Speaker 1: good dogs can really be at like following tracks, or 915 00:40:34,040 --> 00:40:36,200 Speaker 1: you see the drug dogs and all these different working 916 00:40:36,280 --> 00:40:39,560 Speaker 1: dogs that use their nose is to detect different things. 917 00:40:39,840 --> 00:40:40,200 Speaker 2: I've liked. 918 00:40:40,239 --> 00:40:42,080 Speaker 1: I've seen a thing where dog you were using a 919 00:40:42,120 --> 00:40:44,960 Speaker 1: dog to detect like sicknesses, different kind of sicknesses in 920 00:40:45,000 --> 00:40:47,080 Speaker 1: some way, it's like if they had cancer or something. 921 00:40:47,480 --> 00:40:51,200 Speaker 1: But it's just crazy or incredible that dogs. And I 922 00:40:51,200 --> 00:40:53,680 Speaker 1: always say this, like, I feel like people always estimate 923 00:40:53,760 --> 00:40:57,799 Speaker 1: underestimate dogs of how how intelligent they really are, and 924 00:40:58,440 --> 00:41:01,759 Speaker 1: I think this just really proves it absolutely. 925 00:41:01,840 --> 00:41:04,080 Speaker 2: Yeah, it's just, uh, you know, I think we try 926 00:41:04,120 --> 00:41:06,200 Speaker 2: to parallel what we can do versus what dogs can do. 927 00:41:06,239 --> 00:41:08,040 Speaker 2: Let sure, we smell things, but I don't I don't 928 00:41:08,080 --> 00:41:10,560 Speaker 2: think it's in the same league by any margin. When 929 00:41:10,560 --> 00:41:14,120 Speaker 2: these dogs are smelling, I imagine this whole world is, 930 00:41:14,160 --> 00:41:16,600 Speaker 2: you know, being created to them. They're they're seeing visually 931 00:41:16,640 --> 00:41:19,080 Speaker 2: what the scent leaves behind, and you know it's hard 932 00:41:19,080 --> 00:41:21,759 Speaker 2: to quantify that in our brains, but they just yeah, 933 00:41:21,760 --> 00:41:23,760 Speaker 2: and again, to watch these We've had some long tracks 934 00:41:23,800 --> 00:41:26,799 Speaker 2: where we've gone miles and you're starting to lose hope 935 00:41:26,840 --> 00:41:29,080 Speaker 2: and you're you're you're doubting your dog, and the hunters 936 00:41:29,120 --> 00:41:31,000 Speaker 2: are like, there's no way this is going to happen. 937 00:41:31,000 --> 00:41:32,960 Speaker 2: And then all of a sudden, there's a little drop 938 00:41:33,000 --> 00:41:34,520 Speaker 2: of blood on a log and you're like, this is 939 00:41:34,520 --> 00:41:38,360 Speaker 2: the smartest animal that's ever lived, Like, no question. It's 940 00:41:38,360 --> 00:41:40,440 Speaker 2: an incredible feeling to watch that happen. 941 00:41:41,360 --> 00:41:43,120 Speaker 3: Oh yeah, yeah. 942 00:41:43,200 --> 00:41:45,440 Speaker 1: So if I wanted to get a hold of a 943 00:41:46,040 --> 00:41:48,240 Speaker 1: of a tracker, I get on your the web Rocky 944 00:41:48,239 --> 00:41:51,720 Speaker 1: Mountain Big Game Recovery's website, I go to the map, 945 00:41:52,080 --> 00:41:54,239 Speaker 1: I type in my zip code, I try to find 946 00:41:54,480 --> 00:41:58,160 Speaker 1: a local somebody. What if there's nobody close by, how 947 00:41:58,200 --> 00:42:03,200 Speaker 1: far will a tracker go to? Like there's like five 948 00:42:03,280 --> 00:42:05,440 Speaker 1: six hours is out like out of the question. 949 00:42:06,360 --> 00:42:09,520 Speaker 2: No, in fact, so you know, in conjunction with producing 950 00:42:09,560 --> 00:42:13,200 Speaker 2: this film, I was out in Colorado with some friends 951 00:42:13,200 --> 00:42:14,960 Speaker 2: at a camp and we were tracking from there. So 952 00:42:15,000 --> 00:42:17,000 Speaker 2: we basically all go in a central location and we 953 00:42:17,120 --> 00:42:19,719 Speaker 2: go off and there's a guy at a Missouri that 954 00:42:19,840 --> 00:42:22,400 Speaker 2: cashkill drive twelve hours to track to track where you 955 00:42:22,800 --> 00:42:26,200 Speaker 2: literally you'll go from like Steamboat, Colorado to mo app 956 00:42:26,320 --> 00:42:28,719 Speaker 2: in one shot to go track an animal and then drive. 957 00:42:28,560 --> 00:42:30,200 Speaker 3: Back like he's the wholy cow. 958 00:42:30,520 --> 00:42:33,799 Speaker 2: Yeah. Well, well, you know we've done I've done some 959 00:42:33,840 --> 00:42:36,080 Speaker 2: good like three hours one way track all day, drive 960 00:42:36,160 --> 00:42:38,279 Speaker 2: three hours back, and we just don't mind it. I mean, 961 00:42:38,320 --> 00:42:42,160 Speaker 2: it's it's just uh yeah, it's it's probably unhealthy, but 962 00:42:42,239 --> 00:42:44,680 Speaker 2: we get a lot of sask On satisfaction out of it. 963 00:42:45,320 --> 00:42:45,800 Speaker 3: Yeah. 964 00:42:45,880 --> 00:42:47,879 Speaker 1: Yeah, well yeah, you want to try probably take every 965 00:42:47,880 --> 00:42:50,160 Speaker 1: opportunity you can to get that dog out there and 966 00:42:50,200 --> 00:42:52,520 Speaker 1: let him do his work because it's probably really fun 967 00:42:52,560 --> 00:42:53,000 Speaker 1: for the dog. 968 00:42:53,760 --> 00:42:56,640 Speaker 2: Yeah, it's her favorite thing and they deserve but I 969 00:42:56,640 --> 00:42:59,240 Speaker 2: mean she deserves to work. That's like, you know, she's 970 00:42:59,360 --> 00:43:01,000 Speaker 2: brought a lot of way in my life. She's an 971 00:43:01,040 --> 00:43:03,200 Speaker 2: incredible companion, and it's just the least I can do 972 00:43:03,320 --> 00:43:05,799 Speaker 2: is give her an opportunity to do something that she 973 00:43:05,920 --> 00:43:08,000 Speaker 2: loves and that she I mean again, when I put 974 00:43:08,000 --> 00:43:10,120 Speaker 2: on her tracking arm, as she transformed, she becomes a 975 00:43:10,120 --> 00:43:13,560 Speaker 2: little Tasmanian devil. So she'll hid her harness on and 976 00:43:13,600 --> 00:43:15,799 Speaker 2: I'll be holding her back and she's just digging the 977 00:43:15,840 --> 00:43:18,160 Speaker 2: trench because she just wants to go and knowing that 978 00:43:18,200 --> 00:43:21,319 Speaker 2: she loves it that much. It's just h yeah, there's 979 00:43:21,360 --> 00:43:22,799 Speaker 2: no too far to drive for that. 980 00:43:23,840 --> 00:43:25,839 Speaker 3: Yeah, that's that's good. That's good news. 981 00:43:25,840 --> 00:43:28,040 Speaker 1: That's good news because I could see somebody looking at 982 00:43:28,040 --> 00:43:30,760 Speaker 1: the map and be like, ah, that's like three hours away. 983 00:43:30,880 --> 00:43:34,000 Speaker 1: It probably they're probably not gonna I won't bother them. 984 00:43:34,040 --> 00:43:34,879 Speaker 1: I don't want to call them. 985 00:43:34,880 --> 00:43:35,520 Speaker 3: That's too far. 986 00:43:35,840 --> 00:43:39,480 Speaker 1: But yeah, chances if they're available, they probably would come. 987 00:43:40,280 --> 00:43:42,040 Speaker 2: Yeah, and I would recommend just reach out to somebody 988 00:43:42,040 --> 00:43:44,359 Speaker 2: on the map, because again, we all communicate with each other. 989 00:43:44,440 --> 00:43:46,719 Speaker 2: You know, there's I think there's a little over four 990 00:43:46,800 --> 00:43:48,960 Speaker 2: hit time of filming. We have about forty tracking teams 991 00:43:49,000 --> 00:43:51,400 Speaker 2: and the sort of Rocky Mountain West. We're all on 992 00:43:51,600 --> 00:43:54,560 Speaker 2: what's app. So if a track comes in, we push 993 00:43:54,600 --> 00:43:56,480 Speaker 2: it out to the What's Apple, put some details in 994 00:43:56,520 --> 00:43:58,760 Speaker 2: there and like, hey, who can take this, and we'll 995 00:43:59,160 --> 00:44:01,200 Speaker 2: we aise with the or if we need to connect 996 00:44:01,239 --> 00:44:03,719 Speaker 2: them with the tracker. But even if you don't see 997 00:44:03,719 --> 00:44:07,040 Speaker 2: one nearby, just pick a person on the map, send 998 00:44:07,040 --> 00:44:09,240 Speaker 2: them a message and we'll get it out to the network. 999 00:44:09,320 --> 00:44:11,880 Speaker 2: I mean, we really do want to recover recover this 1000 00:44:11,920 --> 00:44:14,359 Speaker 2: stuff for folks. We'll do everything we can to get 1001 00:44:14,400 --> 00:44:14,759 Speaker 2: out there. 1002 00:44:15,960 --> 00:44:17,480 Speaker 3: That's that's so awesome. 1003 00:44:18,320 --> 00:44:21,600 Speaker 1: Every year I see on social media where somebody will 1004 00:44:22,080 --> 00:44:24,480 Speaker 1: like on a like an ELK page or whatever, they'll say, hey, 1005 00:44:24,520 --> 00:44:28,600 Speaker 1: does anybody know anyone that has tracking dogs? Or sometimes 1006 00:44:28,920 --> 00:44:31,120 Speaker 1: somebody will send me a message and be like, hey, 1007 00:44:31,360 --> 00:44:33,239 Speaker 1: I shot a bull and you know this is you 1008 00:44:33,239 --> 00:44:35,600 Speaker 1: know what I've been finding and any any ideas what 1009 00:44:35,600 --> 00:44:37,200 Speaker 1: I should do next, and kind of try to walk 1010 00:44:37,239 --> 00:44:39,200 Speaker 1: them through like if I were to be looking for 1011 00:44:39,200 --> 00:44:42,160 Speaker 1: that animal, what I would do. But it's good to know, 1012 00:44:42,239 --> 00:44:44,640 Speaker 1: like have that resource to recommend, say, hey, reach out 1013 00:44:44,680 --> 00:44:47,319 Speaker 1: to these folks and see if if anybody can come 1014 00:44:47,600 --> 00:44:51,000 Speaker 1: and help you. What what do they normally charge someone 1015 00:44:51,080 --> 00:44:53,560 Speaker 1: to do that, to come out and try to find 1016 00:44:53,560 --> 00:44:55,040 Speaker 1: you up for you or your deer or whatever it 1017 00:44:55,080 --> 00:44:55,759 Speaker 1: is you're looking for. 1018 00:44:56,480 --> 00:44:59,440 Speaker 2: Yeah, so we don't charge. We do work depending on 1019 00:44:59,480 --> 00:45:01,520 Speaker 2: what Some states we can't do this, So depending on 1020 00:45:01,560 --> 00:45:03,600 Speaker 2: where it's legal, we can accept it. You know, we 1021 00:45:03,640 --> 00:45:06,120 Speaker 2: can accept a gratuity if you're happy with our service 1022 00:45:06,160 --> 00:45:08,719 Speaker 2: and you want to you know, provide a tip, gas money, 1023 00:45:08,719 --> 00:45:12,160 Speaker 2: stuff like that, we can will graciously accept it. Again 1024 00:45:12,160 --> 00:45:15,160 Speaker 2: if it's legal. Some states it's not in that case, 1025 00:45:15,200 --> 00:45:17,279 Speaker 2: if you feel inclined, we do have a you know, 1026 00:45:17,320 --> 00:45:19,600 Speaker 2: we're a nonprofit, so you can donate on the website 1027 00:45:19,640 --> 00:45:22,560 Speaker 2: if you find the service valuable. But you know, we 1028 00:45:22,600 --> 00:45:25,239 Speaker 2: don't charge, we don't have set rates, we don't have 1029 00:45:25,280 --> 00:45:27,359 Speaker 2: a price list or anything like that. We'll come out, 1030 00:45:27,680 --> 00:45:29,680 Speaker 2: we'll come out track for a candy bar if we 1031 00:45:29,719 --> 00:45:30,040 Speaker 2: need to. 1032 00:45:31,600 --> 00:45:36,480 Speaker 1: Man, that's that's remarkable. That's that that just proves you know, 1033 00:45:36,680 --> 00:45:38,880 Speaker 1: you guys are doing it for the right reasons. But 1034 00:45:39,000 --> 00:45:43,720 Speaker 1: definitely i'd feel awful guilty. So they drove four hours 1035 00:45:44,200 --> 00:45:46,719 Speaker 1: and spend half the night looking for my elk and 1036 00:45:46,800 --> 00:45:49,920 Speaker 1: then at least pay for their gas, definitely make a 1037 00:45:50,000 --> 00:45:52,560 Speaker 1: huge donation of some kind to the organization. 1038 00:45:52,800 --> 00:45:55,680 Speaker 2: So yeah, that's really appreciated. But again it's just a 1039 00:45:56,560 --> 00:45:58,840 Speaker 2: you know, like just one of my first tracks as 1040 00:45:58,880 --> 00:46:00,440 Speaker 2: a new tracker. I found it both up for a 1041 00:46:00,440 --> 00:46:03,239 Speaker 2: guy so I lived in myoming now over kind of 1042 00:46:03,239 --> 00:46:05,719 Speaker 2: a boy the big horns, and this poor guy he 1043 00:46:05,840 --> 00:46:07,719 Speaker 2: just he made a shot, he couldn't find it, and 1044 00:46:07,760 --> 00:46:09,719 Speaker 2: he was just he was really distraught. It was a 1045 00:46:09,800 --> 00:46:12,759 Speaker 2: nice elk. He'd been hunting that region his whole life. 1046 00:46:12,800 --> 00:46:14,960 Speaker 2: It's his biggest alchemist life and it was gone. And 1047 00:46:15,000 --> 00:46:18,880 Speaker 2: it's like a hot day thirty hours later, and it 1048 00:46:18,920 --> 00:46:20,920 Speaker 2: was it was a tough track. We had no blood 1049 00:46:20,960 --> 00:46:23,200 Speaker 2: at the hit site. He had a busted arrow that 1050 00:46:23,280 --> 00:46:25,040 Speaker 2: he's stuck in the ground about where he found it, 1051 00:46:25,080 --> 00:46:26,560 Speaker 2: and there was no blood we could see. It was 1052 00:46:26,640 --> 00:46:30,720 Speaker 2: kind of that that sag step. Yeah, and then grabbed 1053 00:46:30,719 --> 00:46:32,799 Speaker 2: the arrow. I poured water on it and let her 1054 00:46:32,880 --> 00:46:35,879 Speaker 2: kind of sniff it and just center and a long 1055 00:46:36,040 --> 00:46:38,440 Speaker 2: track kind of. I gave up a little bit, he 1056 00:46:38,480 --> 00:46:40,480 Speaker 2: gave up a little bit. Finally found a little bit 1057 00:46:40,480 --> 00:46:42,360 Speaker 2: of blood, and then we topped a rise and his 1058 00:46:42,440 --> 00:46:46,359 Speaker 2: elk was there. And just the the emotion that guy 1059 00:46:46,400 --> 00:46:48,680 Speaker 2: went through of seeing his elk that he thought he 1060 00:46:48,680 --> 00:46:50,879 Speaker 2: would never see again. He thought he wasted this beautiful bowl, 1061 00:46:51,480 --> 00:46:53,360 Speaker 2: Like that was enough for me. That was like she 1062 00:46:53,560 --> 00:46:56,120 Speaker 2: was so excited that she found it. This guy was, 1063 00:46:56,200 --> 00:46:58,439 Speaker 2: you know, over the moon that we recovered his elk 1064 00:46:58,560 --> 00:47:02,000 Speaker 2: like that. I probably felt just as strongly about finding 1065 00:47:02,000 --> 00:47:04,240 Speaker 2: that elk as this guy did, and just so proud 1066 00:47:04,239 --> 00:47:06,839 Speaker 2: of my dog and so happy for him. So I mean, 1067 00:47:06,840 --> 00:47:10,080 Speaker 2: that's that's really what that's what motivates us for sure. 1068 00:47:11,480 --> 00:47:16,279 Speaker 1: Yeah, you guys are making a difference definitely out there, 1069 00:47:16,320 --> 00:47:18,840 Speaker 1: and I keep Matt, I hope, I hope some people 1070 00:47:18,880 --> 00:47:21,600 Speaker 1: hear this and listen to it, and number one want 1071 00:47:21,640 --> 00:47:25,040 Speaker 1: to maybe get involved and train their dog and become 1072 00:47:25,280 --> 00:47:27,880 Speaker 1: become a tracker, maybe become part of your guys's network. 1073 00:47:27,920 --> 00:47:31,120 Speaker 1: That would be really cool just to have more people 1074 00:47:31,160 --> 00:47:34,120 Speaker 1: out there doing it. And then I hope folks who 1075 00:47:34,760 --> 00:47:37,799 Speaker 1: are listening if they get a pickle and just you know, 1076 00:47:38,040 --> 00:47:41,200 Speaker 1: maybe lose an animal and now they have an alternative, like, hey, 1077 00:47:41,320 --> 00:47:43,120 Speaker 1: I get I can get a hold of somebody and 1078 00:47:43,320 --> 00:47:45,800 Speaker 1: we can recover this or have a good opportunity to 1079 00:47:45,920 --> 00:47:47,160 Speaker 1: chance to recover it. 1080 00:47:47,239 --> 00:47:51,279 Speaker 2: So absolutely yeah, and we could use more trackers. There's 1081 00:47:51,520 --> 00:47:54,400 Speaker 2: the demand is rising, and you know, like with this, 1082 00:47:54,560 --> 00:47:57,040 Speaker 2: with this film coming out, I think it's a really 1083 00:47:57,040 --> 00:47:59,359 Speaker 2: good glimpse into the world of what we do, and 1084 00:47:59,440 --> 00:48:02,040 Speaker 2: I just hope people see that they realize that resource 1085 00:48:02,120 --> 00:48:04,160 Speaker 2: is there. But then again, you know, we can always 1086 00:48:04,239 --> 00:48:07,280 Speaker 2: use more tracking teams. I think that as people become 1087 00:48:07,320 --> 00:48:09,840 Speaker 2: more aware that this resource is available, they you know, 1088 00:48:09,880 --> 00:48:11,920 Speaker 2: the demand's going to go up. And we'd love to 1089 00:48:11,920 --> 00:48:13,439 Speaker 2: be able to never turn out of track It would 1090 00:48:13,440 --> 00:48:15,759 Speaker 2: be great to be able to track everything everything that 1091 00:48:15,760 --> 00:48:16,800 Speaker 2: comes across the network. 1092 00:48:17,680 --> 00:48:18,080 Speaker 3: Yeah. 1093 00:48:18,719 --> 00:48:22,680 Speaker 1: Now, if I wanted to come to your get together 1094 00:48:22,920 --> 00:48:25,560 Speaker 1: at the Rocky Mountain Big Game recovery, what did they 1095 00:48:25,560 --> 00:48:27,480 Speaker 1: call it, like just a rendezvous or something. 1096 00:48:27,840 --> 00:48:30,400 Speaker 2: Yeah, it'll be our twenty twenty five spring rendezvous. 1097 00:48:30,560 --> 00:48:34,719 Speaker 1: Okay, Now if I wanted to come, now, do my 1098 00:48:34,840 --> 00:48:37,239 Speaker 1: dogs have to kind of know what they're doing or 1099 00:48:37,520 --> 00:48:39,759 Speaker 1: or can people who are complete novices and don't have 1100 00:48:39,840 --> 00:48:42,080 Speaker 1: never trained their dog yet they just want to see 1101 00:48:42,120 --> 00:48:43,520 Speaker 1: what it's about bring their dog out? 1102 00:48:43,640 --> 00:48:44,319 Speaker 3: Can they do that? 1103 00:48:45,400 --> 00:48:47,560 Speaker 2: Yeah? Absolutely, I think it's a great way to kind 1104 00:48:47,560 --> 00:48:49,719 Speaker 2: of get introduced to the you know, kind of get 1105 00:48:49,760 --> 00:48:52,680 Speaker 2: introduced to tracking. And then for me, the biggest thing 1106 00:48:52,760 --> 00:48:55,480 Speaker 2: was just the people that are there that you can 1107 00:48:55,560 --> 00:48:57,400 Speaker 2: kind of count on as a mentor. Like I was 1108 00:48:57,440 --> 00:48:59,960 Speaker 2: really new. I went to this. I went to the 1109 00:49:00,080 --> 00:49:02,560 Speaker 2: seminar with just a little bit of training. I'd obviously 1110 00:49:02,760 --> 00:49:06,480 Speaker 2: never done any live recoveries yet, so I probably only 1111 00:49:06,520 --> 00:49:08,959 Speaker 2: trained her for gosh, that was maybe a month into 1112 00:49:09,000 --> 00:49:11,440 Speaker 2: having her in training her before we went out on 1113 00:49:11,520 --> 00:49:15,760 Speaker 2: this thing, and just following following other people on their tracks, 1114 00:49:15,800 --> 00:49:18,040 Speaker 2: like if you ask the handler, hey, can I just 1115 00:49:18,239 --> 00:49:22,440 Speaker 2: observe your your certification. You'll learn so much by walking 1116 00:49:22,480 --> 00:49:25,359 Speaker 2: behind that person and that dog, hearing the feedback from 1117 00:49:25,360 --> 00:49:28,200 Speaker 2: the judge, just learning you know, how to read the 1118 00:49:28,200 --> 00:49:31,120 Speaker 2: dogs and their behaviors. Yeah, if you're interested at all 1119 00:49:31,160 --> 00:49:33,320 Speaker 2: in tracking, I think it's a really incredible way to 1120 00:49:33,719 --> 00:49:36,360 Speaker 2: to Hey, just see what it's all about, see what's involved. 1121 00:49:36,360 --> 00:49:38,520 Speaker 2: But then be just a network with people, you know, 1122 00:49:38,600 --> 00:49:40,840 Speaker 2: maybe find a mentor find some people that might be 1123 00:49:40,880 --> 00:49:43,200 Speaker 2: nearing you that you can go train with. I think 1124 00:49:43,239 --> 00:49:45,440 Speaker 2: it's incredibly valuable. Even if you you know, you want 1125 00:49:45,440 --> 00:49:47,600 Speaker 2: to leave the dog at home and just some have 1126 00:49:47,680 --> 00:49:50,040 Speaker 2: that experience. I think there's a lot of value to that. 1127 00:49:50,600 --> 00:49:52,239 Speaker 2: But of course putting your dog. We love dogs, so 1128 00:49:52,400 --> 00:49:54,560 Speaker 2: you're more than welcome to bring them. Yeah. 1129 00:49:54,719 --> 00:49:56,320 Speaker 3: Yeah, that's awesome. 1130 00:49:56,360 --> 00:49:58,000 Speaker 1: I'm gonna have to definitely keep an eye out for 1131 00:49:58,040 --> 00:50:01,040 Speaker 1: that because that might be if if I don't have 1132 00:50:01,080 --> 00:50:03,640 Speaker 1: a schedule conflict, I'd like to maybe come come check 1133 00:50:03,680 --> 00:50:05,439 Speaker 1: that out come and see what it's all about. 1134 00:50:06,000 --> 00:50:07,840 Speaker 2: Oh, we'd love to have you, it'd be great. 1135 00:50:08,080 --> 00:50:10,960 Speaker 1: Yeah, let's see. 1136 00:50:12,760 --> 00:50:16,040 Speaker 3: All right, Well, I think that's gonna about wrap it up. 1137 00:50:16,080 --> 00:50:19,240 Speaker 1: We've we've been on here for for fifty minutes, almost 1138 00:50:19,320 --> 00:50:22,440 Speaker 1: an hour. If folks want to look you up, how 1139 00:50:22,440 --> 00:50:23,799 Speaker 1: do they how do they get a hold of you? 1140 00:50:24,680 --> 00:50:28,120 Speaker 2: Yeah, probably easiest. I'm on Instagram just at matt Yagin Photo, 1141 00:50:28,920 --> 00:50:33,279 Speaker 2: and then my website's time on at media dot com okay. 1142 00:50:33,560 --> 00:50:38,080 Speaker 1: And then the website for for Rocky Mountain Big Game 1143 00:50:38,160 --> 00:50:41,160 Speaker 1: Recovery is Rockymountain Big Game Recovery dot org. 1144 00:50:41,400 --> 00:50:43,520 Speaker 2: It looks like correct, you got it. 1145 00:50:43,719 --> 00:50:45,959 Speaker 1: And I snooped around on that quite a bit now 1146 00:50:46,000 --> 00:50:49,880 Speaker 1: so far. So yeah, if anybody is curious about that, 1147 00:50:50,080 --> 00:50:53,120 Speaker 1: get on there and check it out. Any any closing 1148 00:50:53,160 --> 00:50:55,200 Speaker 1: thoughts on on on Blood. 1149 00:50:54,920 --> 00:50:58,400 Speaker 2: Tracking, I'd just say if anybody wants to watch that film, 1150 00:50:58,440 --> 00:51:00,480 Speaker 2: I think it's really get intro to why we do 1151 00:51:00,520 --> 00:51:02,560 Speaker 2: what we do, and I think it does a good 1152 00:51:02,600 --> 00:51:05,640 Speaker 2: job of highlighting the relationship we as handlers have with 1153 00:51:05,680 --> 00:51:07,400 Speaker 2: our dogs. I mean that's the biggest part of it. 1154 00:51:08,080 --> 00:51:10,800 Speaker 2: That film is available on the on the Pelican YouTube page, 1155 00:51:11,360 --> 00:51:14,520 Speaker 2: so it's it's tracking in and it's sponsored by Pelican, 1156 00:51:14,560 --> 00:51:17,120 Speaker 2: and it's uh gosh. I launched a couple of days ago, 1157 00:51:17,160 --> 00:51:19,000 Speaker 2: so the film was out, and so far we've had 1158 00:51:19,040 --> 00:51:21,360 Speaker 2: some some really good feedback on it. So you have 1159 00:51:21,520 --> 00:51:23,120 Speaker 2: you want to learn more about the world of tracking 1160 00:51:23,120 --> 00:51:26,320 Speaker 2: and see some of the personalities behind it. Suggests to 1161 00:51:26,400 --> 00:51:27,040 Speaker 2: go take a look. 1162 00:51:27,960 --> 00:51:30,640 Speaker 1: Great, great, Yeah, I'll put a link in the description. 1163 00:51:31,520 --> 00:51:31,680 Speaker 2: Yeah. 1164 00:51:31,719 --> 00:51:33,799 Speaker 3: I encourage everybody to go watch it. I enjoyed it 1165 00:51:33,840 --> 00:51:35,319 Speaker 3: so so well. 1166 00:51:35,360 --> 00:51:38,279 Speaker 1: Thanks Matt, I appreciate you coming on, taking some time 1167 00:51:38,320 --> 00:51:38,960 Speaker 1: out of your day. 1168 00:51:38,840 --> 00:51:40,280 Speaker 3: To talk about dove tracking. 1169 00:51:40,960 --> 00:51:42,920 Speaker 2: Well, thank you so much. Jrek, I appreciating having me on. 1170 00:51:43,320 --> 00:51:44,120 Speaker 3: Yep, thank you. 1171 00:52:00,840 --> 00:52:01,040 Speaker 2: Never