1 00:00:02,840 --> 00:00:06,880 Speaker 1: From Mediator's World News headquarters in Bozeman, Montana. This is 2 00:00:06,960 --> 00:00:11,360 Speaker 1: Cal's weekend review, presented by Steel. Steel products are available 3 00:00:11,400 --> 00:00:15,160 Speaker 1: only at authorized dealers. For more, go to Steel Dealers 4 00:00:15,320 --> 00:00:22,319 Speaker 1: dot com. Now here's your host. Ryan cal Callahan, a 5 00:00:22,480 --> 00:00:25,720 Speaker 1: twelve year old angler in Florida, is now the proud 6 00:00:25,800 --> 00:00:30,200 Speaker 1: owner of two new world fishing records after he hauled 7 00:00:30,200 --> 00:00:34,280 Speaker 1: in a fifty eight pound eight ounce jack cravel from 8 00:00:34,280 --> 00:00:40,280 Speaker 1: a dock across the street from his house. Before you 9 00:00:40,360 --> 00:00:43,440 Speaker 1: assume the kid had the help of an uncle or 10 00:00:43,479 --> 00:00:48,599 Speaker 1: a father, think again. Nicholas Fano hauled in this monster 11 00:00:48,840 --> 00:00:52,360 Speaker 1: all by himself with a rod and line far too 12 00:00:52,400 --> 00:00:58,080 Speaker 1: small for that class of fish. One warm Saturday last October, 13 00:00:58,320 --> 00:01:00,640 Speaker 1: he and a buddy decided to throw in a line 14 00:01:00,800 --> 00:01:04,720 Speaker 1: on the Bessie Creek in Palm City, Florida. Bessie Creek 15 00:01:04,840 --> 00:01:07,520 Speaker 1: is only about a hundred feet wide and flows into 16 00:01:07,520 --> 00:01:10,480 Speaker 1: the St. Lucy River on the Atlantic Coast. He and 17 00:01:10,560 --> 00:01:13,280 Speaker 1: his friend caught a few small mullet, hooked them into 18 00:01:13,319 --> 00:01:16,520 Speaker 1: some circle hooks, and throughout the bait on some thirty 19 00:01:16,520 --> 00:01:20,360 Speaker 1: pound test braid. When the record breaking fish grabbed the line, 20 00:01:20,720 --> 00:01:23,679 Speaker 1: Fano knew he wouldn't be able to overpower it with 21 00:01:23,760 --> 00:01:26,840 Speaker 1: the tackle he was using, so he spent forty minutes 22 00:01:27,080 --> 00:01:30,840 Speaker 1: tiring out the huge fish before landing it. The whole time, 23 00:01:31,000 --> 00:01:34,080 Speaker 1: he never let go of the rod. Here's a quote 24 00:01:34,160 --> 00:01:39,120 Speaker 1: from Treasure Coast newspapers. I knew I couldn't get anybody 25 00:01:39,120 --> 00:01:41,640 Speaker 1: to help me handle the rod, or else it wouldn't 26 00:01:41,720 --> 00:01:46,480 Speaker 1: count as my fish. That's very astute, nick, I'm doing myself. 27 00:01:49,440 --> 00:01:51,600 Speaker 1: Once they took a few pictures and weighed the fish, 28 00:01:51,640 --> 00:01:55,680 Speaker 1: they let it go. The International Game Fish Association confirmed 29 00:01:55,680 --> 00:01:59,800 Speaker 1: the catch and awarded Fano with two world records, the 30 00:02:00,120 --> 00:02:04,920 Speaker 1: junior world record and the men's fifty pound test line 31 00:02:05,000 --> 00:02:10,520 Speaker 1: world record jack cravell. That's right, men's world record. You 32 00:02:10,600 --> 00:02:14,560 Speaker 1: heard it here first, folks, Young Mr Fano has become 33 00:02:14,600 --> 00:02:26,240 Speaker 1: a man today. You have become a man. Those records 34 00:02:26,280 --> 00:02:30,400 Speaker 1: likely won't be beaten anytime soon. The previous international record 35 00:02:30,520 --> 00:02:34,040 Speaker 1: of fifty eight pounds six ounces has stood for twenty 36 00:02:34,080 --> 00:02:37,400 Speaker 1: two years, and the Florida state record of fifty seven 37 00:02:37,400 --> 00:02:42,360 Speaker 1: pounds has stood since nine The jack cravel can be 38 00:02:42,440 --> 00:02:46,280 Speaker 1: found both inshore and in open water. They're commonly three 39 00:02:46,320 --> 00:02:50,080 Speaker 1: to five pounds, and the largest are usually closer to 40 00:02:50,240 --> 00:02:54,680 Speaker 1: twenty pounds. If anybody has ever fished for jack's or 41 00:02:54,720 --> 00:02:58,519 Speaker 1: caught any jack species, you know that they have an 42 00:02:58,520 --> 00:03:03,040 Speaker 1: incredible amount of fight, and more often than not, the 43 00:03:03,080 --> 00:03:06,640 Speaker 1: fish that you bring into the boat is undersized. For 44 00:03:06,720 --> 00:03:09,240 Speaker 1: the fish that was in your mind during the fight, 45 00:03:09,960 --> 00:03:14,359 Speaker 1: Fanos fish was more than twice the size of your 46 00:03:14,440 --> 00:03:19,800 Speaker 1: average jack gravel. Congratulations, Mr Fanno. We can't wait to 47 00:03:19,800 --> 00:03:23,560 Speaker 1: see what happens now that you're a full grown fishing dude. 48 00:03:24,480 --> 00:03:26,880 Speaker 1: This week, as per usual, we've got a bunch of 49 00:03:26,880 --> 00:03:30,360 Speaker 1: awesome stuff. But first I'm gonna tell you about my week, 50 00:03:31,960 --> 00:03:33,720 Speaker 1: and it's a little special because I have a guest, 51 00:03:34,000 --> 00:03:37,960 Speaker 1: a guy named Fritz, which is half or fifty of 52 00:03:38,000 --> 00:03:42,960 Speaker 1: the TikTok Sensation Old Time Hockey, which features only Fritz 53 00:03:43,200 --> 00:03:47,280 Speaker 1: and Donny Brook. We have been fishing a world around 54 00:03:47,400 --> 00:03:51,480 Speaker 1: yellow perch Lake Lake Cascade in central Idaho. This thirty 55 00:03:51,560 --> 00:03:54,560 Speaker 1: thousand plus acre body of water average is less than 56 00:03:54,600 --> 00:03:57,720 Speaker 1: forty ft deep, produces a ton of food, and, most 57 00:03:57,760 --> 00:04:02,280 Speaker 1: importantly to anglers, has also produced two world record yellow 58 00:04:02,320 --> 00:04:07,200 Speaker 1: perch and at least three maybe five state record yellow perch. 59 00:04:07,840 --> 00:04:10,600 Speaker 1: Outside of that, and something I just learned this week 60 00:04:10,920 --> 00:04:14,360 Speaker 1: by fishing not only with Fritz, but also with Jordan 61 00:04:14,440 --> 00:04:17,520 Speaker 1: Messner and Mike Thomas of Idaho Fish and Game. Mike 62 00:04:17,640 --> 00:04:20,960 Speaker 1: is the Regional Fisheries biologist and Jordan is the Southwest 63 00:04:21,040 --> 00:04:25,760 Speaker 1: Regional Fisheries Manager. Perch in Lake Cascade are actually setting 64 00:04:25,800 --> 00:04:29,839 Speaker 1: records of their own by themselves, just by getting old, 65 00:04:29,839 --> 00:04:35,880 Speaker 1: extremely old, fourteen years verified, fourteen year old yellow perch, 66 00:04:36,400 --> 00:04:43,839 Speaker 1: which is insane, and we may see some go beyond that. Anyway, Fritz, 67 00:04:44,400 --> 00:04:49,479 Speaker 1: I need you to do one thing. What is TikTok TikTok? Well, 68 00:04:50,520 --> 00:04:52,680 Speaker 1: what TikTok is and what I do on TikTok might 69 00:04:52,720 --> 00:04:56,080 Speaker 1: be two different things. But TikTok is uh pretty much 70 00:04:56,160 --> 00:04:58,719 Speaker 1: just a dance app. I believe it started as musically. 71 00:04:58,880 --> 00:05:01,880 Speaker 1: I think it got bought out UM switched to TikTok. 72 00:05:02,400 --> 00:05:05,560 Speaker 1: It's a short format video app. UM you can do 73 00:05:06,160 --> 00:05:09,720 Speaker 1: anywhere from one second to three minutes. So I got 74 00:05:09,760 --> 00:05:12,039 Speaker 1: involved in it about two years ago. And what do 75 00:05:12,120 --> 00:05:15,760 Speaker 1: you do? So I do mostly UM kind of my 76 00:05:15,800 --> 00:05:18,839 Speaker 1: own little form of smr um, which is kind of 77 00:05:18,880 --> 00:05:22,719 Speaker 1: like a calming technique in my videos. I didn't start 78 00:05:22,720 --> 00:05:25,000 Speaker 1: out that way, kind of grew into it, but my 79 00:05:25,120 --> 00:05:29,240 Speaker 1: videos ranged from mostly anywhere thirty seconds too, probably about 80 00:05:29,279 --> 00:05:32,880 Speaker 1: three minutes, so pretty much to the max. So the 81 00:05:33,440 --> 00:05:38,640 Speaker 1: TikTok platform, if you're familiar with like an Instagram or 82 00:05:38,680 --> 00:05:41,679 Speaker 1: maybe even like a Facebook or something like that, Uh, 83 00:05:41,760 --> 00:05:46,760 Speaker 1: it's it's another social media platform where anybody who downloads 84 00:05:46,800 --> 00:05:52,320 Speaker 1: the app can upload content. And you got into this house. 85 00:05:52,920 --> 00:05:55,800 Speaker 1: So I got into this, uh just kind of on 86 00:05:55,880 --> 00:05:58,520 Speaker 1: a whim. But basically right after COVID, I was playing 87 00:05:58,560 --> 00:06:00,920 Speaker 1: in a hockey league out of Sue, Canada, which is 88 00:06:00,960 --> 00:06:03,800 Speaker 1: in Ontario, um, just north of the Michigan border where 89 00:06:03,839 --> 00:06:06,920 Speaker 1: I live, about thirty five minutes, and that lead got 90 00:06:06,920 --> 00:06:10,320 Speaker 1: canceled when COVID happened. Um, but our group text about 91 00:06:10,320 --> 00:06:12,200 Speaker 1: like the game and what time it started and kind 92 00:06:12,200 --> 00:06:15,080 Speaker 1: of who's getting there at what time? You know. Um, 93 00:06:15,120 --> 00:06:17,640 Speaker 1: that kind of kept going and so when we weren't 94 00:06:17,640 --> 00:06:19,080 Speaker 1: playing hockey, it would just end up being a lot 95 00:06:19,120 --> 00:06:22,520 Speaker 1: of hockey videos getting sent. So basically it's like a link. 96 00:06:22,640 --> 00:06:24,080 Speaker 1: Right you click on the link, it takes you to 97 00:06:24,120 --> 00:06:26,200 Speaker 1: the app. So like I'm in the app watching the 98 00:06:26,279 --> 00:06:29,520 Speaker 1: videos and I just always enjoyed them. I found myself 99 00:06:29,560 --> 00:06:32,040 Speaker 1: setting them to like other people like copy and paste 100 00:06:32,040 --> 00:06:34,719 Speaker 1: in the link, um sending it to like other hockey 101 00:06:34,720 --> 00:06:37,159 Speaker 1: buddies and stuff. And then after a period of time 102 00:06:37,200 --> 00:06:39,920 Speaker 1: I decided to make one. It was I think it 103 00:06:40,000 --> 00:06:45,320 Speaker 1: was April two. Um, it was a hockey video. Um 104 00:06:45,440 --> 00:06:48,320 Speaker 1: kind of connected with the hockey audience first, and then 105 00:06:48,640 --> 00:06:50,400 Speaker 1: kind of just started from there and just kind of 106 00:06:50,400 --> 00:06:54,160 Speaker 1: grew organically, you know, just kind of just showed a 107 00:06:54,200 --> 00:06:56,000 Speaker 1: little bit into my life and what we do in 108 00:06:56,120 --> 00:06:58,320 Speaker 1: the Cedar Swamp where I live with my dog donny Brook. 109 00:06:58,440 --> 00:07:00,840 Speaker 1: And people really enjoyed it. So I kind of just 110 00:07:00,960 --> 00:07:04,000 Speaker 1: kept to it. And part of TikTok is like people 111 00:07:04,000 --> 00:07:06,200 Speaker 1: who leave comments, so they could have a comment like 112 00:07:06,240 --> 00:07:09,120 Speaker 1: where are you from? Or I love your dog? What's 113 00:07:09,120 --> 00:07:12,520 Speaker 1: your dog's name? So then you respond to that comment 114 00:07:12,640 --> 00:07:14,840 Speaker 1: in a video. So a lot of it was just 115 00:07:14,920 --> 00:07:18,120 Speaker 1: driven by like what people were asking and and your 116 00:07:18,160 --> 00:07:22,559 Speaker 1: dog is donny Brook, which should be the other half. Yeah, 117 00:07:22,640 --> 00:07:29,720 Speaker 1: that's Michael Jordan's I'm Scottie Pippen. And um when you say, 118 00:07:29,760 --> 00:07:33,880 Speaker 1: like like people liked it, right, you you literally went 119 00:07:34,040 --> 00:07:38,880 Speaker 1: from zero to what were you at now? Um? I 120 00:07:38,920 --> 00:07:41,840 Speaker 1: think on TikTok we're at about four point eight million. 121 00:07:42,480 --> 00:07:48,120 Speaker 1: Four point eight million, Yeah, pretty wild million, right, And 122 00:07:48,120 --> 00:07:52,280 Speaker 1: and so what what are people engaging with? Wait? What 123 00:07:52,320 --> 00:07:56,360 Speaker 1: are you doing on there? You know, I think it'll 124 00:07:56,400 --> 00:07:58,560 Speaker 1: want for a while. It took me um kind of 125 00:07:58,560 --> 00:08:01,040 Speaker 1: asking the same question to see what it was was 126 00:08:01,080 --> 00:08:03,920 Speaker 1: special about it. Um, So I'm not saying I got 127 00:08:03,920 --> 00:08:06,360 Speaker 1: it nailed down. But if I were to guess, I 128 00:08:06,360 --> 00:08:08,200 Speaker 1: would say it's a place where people can put their 129 00:08:08,240 --> 00:08:10,720 Speaker 1: heart forward. I know it sounds a little weird, but 130 00:08:11,320 --> 00:08:13,320 Speaker 1: it's a place where you can kind of just be yourself, 131 00:08:13,360 --> 00:08:15,520 Speaker 1: you know, if you like something that's a little out there. 132 00:08:16,040 --> 00:08:18,400 Speaker 1: The world's big enough already, and you're able now to 133 00:08:18,400 --> 00:08:21,320 Speaker 1: put videos online and connect with people. And never in 134 00:08:21,320 --> 00:08:23,160 Speaker 1: a million years did I think people would be interested 135 00:08:23,200 --> 00:08:26,000 Speaker 1: in the things I'm interested in or stuff like that. 136 00:08:26,040 --> 00:08:28,720 Speaker 1: So I really don't have it nailed down. I don't 137 00:08:28,720 --> 00:08:30,960 Speaker 1: know why people think it is so special, but it 138 00:08:31,000 --> 00:08:33,400 Speaker 1: means a lot. UM means a lot that people want 139 00:08:33,400 --> 00:08:35,400 Speaker 1: to come on the adventures. I want to see the videos. 140 00:08:36,160 --> 00:08:37,680 Speaker 1: So I just kind of try to keep it going. 141 00:08:38,200 --> 00:08:41,720 Speaker 1: And if you can remember way back when, you know, 142 00:08:41,800 --> 00:08:45,599 Speaker 1: it was sometime during this this COVID era, But I 143 00:08:46,120 --> 00:08:49,320 Speaker 1: did mention here on The Cow's Weeken Review podcast during 144 00:08:49,320 --> 00:08:52,440 Speaker 1: the My Week section that you know, I kind of 145 00:08:52,480 --> 00:08:55,840 Speaker 1: like stumbled on the algorithm of them served up or 146 00:08:55,880 --> 00:09:00,120 Speaker 1: somebody gave me a link to old timey hockey on 147 00:09:00,120 --> 00:09:04,640 Speaker 1: on Instagram, and boy, you know, I hope this isn't offensive, 148 00:09:04,679 --> 00:09:09,720 Speaker 1: but I found it like wholesome and just like warm 149 00:09:09,760 --> 00:09:16,320 Speaker 1: inviting a bunch of other words here would be like inclusive. Well, 150 00:09:16,320 --> 00:09:19,240 Speaker 1: I'm trying really hard not to get insulted, right, It's 151 00:09:19,280 --> 00:09:22,400 Speaker 1: like it's like that. But man, it's like this day 152 00:09:22,400 --> 00:09:25,880 Speaker 1: and age, it's like you're not insulting people on there, 153 00:09:25,920 --> 00:09:32,960 Speaker 1: You're not being controversial, you aren't chasing that next thing. 154 00:09:33,120 --> 00:09:36,720 Speaker 1: I guess. You know, it's literally like a warm campfire sometimes, 155 00:09:36,800 --> 00:09:39,160 Speaker 1: and you're like inviting people to come sit next to 156 00:09:39,160 --> 00:09:42,400 Speaker 1: a warm campfire, inviting people to have a meal, inviting 157 00:09:42,480 --> 00:09:45,320 Speaker 1: people to sit down and play like a really old 158 00:09:45,440 --> 00:09:49,800 Speaker 1: video game. Okay, so there's like some nostalgia stuff in there. Uh, 159 00:09:49,840 --> 00:09:52,160 Speaker 1: you got a super cute dog that's just like your 160 00:09:52,160 --> 00:09:54,640 Speaker 1: buddy on there, Donny Brook, that goes along with you. 161 00:09:55,320 --> 00:09:58,360 Speaker 1: And yeah, that's the reason that I connected with it 162 00:09:58,400 --> 00:10:02,240 Speaker 1: is it is outdoors and it's just like it's a 163 00:10:02,240 --> 00:10:06,480 Speaker 1: welcoming thing. And uh, that's how you and I started talking, 164 00:10:06,559 --> 00:10:09,360 Speaker 1: Rather like I reached out and I said, uh, just 165 00:10:09,520 --> 00:10:14,199 Speaker 1: appreciate the positive content, you know, keep it up right 166 00:10:14,360 --> 00:10:19,040 Speaker 1: and you have, which is awesome. And and you know, 167 00:10:19,120 --> 00:10:23,360 Speaker 1: obviously I'm a fan, still a fan. So uh, and 168 00:10:23,520 --> 00:10:26,600 Speaker 1: you gotta come down here to Idaho or you made 169 00:10:26,640 --> 00:10:29,120 Speaker 1: the choice to come down here to Idaho to a 170 00:10:29,200 --> 00:10:32,600 Speaker 1: lake that I have never fished, and I've always wanted 171 00:10:32,600 --> 00:10:35,400 Speaker 1: to fish, and just kind of had a hunch that you, 172 00:10:36,120 --> 00:10:39,360 Speaker 1: because of the content that you put out, that you'd 173 00:10:39,400 --> 00:10:41,720 Speaker 1: be somebody worth fishing with. And you've turned out to 174 00:10:41,760 --> 00:10:44,800 Speaker 1: be that person. That's a spoiler alert for everybody if 175 00:10:44,880 --> 00:10:48,560 Speaker 1: you follow old timey hockey. This is somebody that you 176 00:10:48,600 --> 00:10:53,000 Speaker 1: can sit down, have a cold pop with and you know, 177 00:10:53,240 --> 00:10:58,960 Speaker 1: do some angling for yellow perch. So your impression of 178 00:10:59,120 --> 00:11:03,960 Speaker 1: Late Cascade, Idaho, Holy way, where do I start? We'll 179 00:11:04,080 --> 00:11:07,840 Speaker 1: start with the world class perch. Um biggest, I mean 180 00:11:08,320 --> 00:11:10,240 Speaker 1: some of the biggest in the world, you know, let 181 00:11:10,280 --> 00:11:13,240 Speaker 1: alone where I'm from, Um, where I'm from. You know, 182 00:11:13,240 --> 00:11:16,319 Speaker 1: a perch that you'd keep, maybe get mounted, is one 183 00:11:16,360 --> 00:11:21,480 Speaker 1: you'd probably tossed back here and and so you are, 184 00:11:22,040 --> 00:11:26,080 Speaker 1: you're thirty some minutes from hockey league in Canada, but 185 00:11:26,160 --> 00:11:28,679 Speaker 1: you live in Michigan, which makes you a uper r. 186 00:11:28,880 --> 00:11:33,559 Speaker 1: You're in the Upper p A, the Upper Upper Peninsula, um, 187 00:11:33,720 --> 00:11:35,960 Speaker 1: and there's a lot of water up there, a lot 188 00:11:35,960 --> 00:11:38,280 Speaker 1: of water, and that's like pan fishing country. And the 189 00:11:38,320 --> 00:11:42,400 Speaker 1: perch kind of by size falls into like a pan 190 00:11:42,480 --> 00:11:47,120 Speaker 1: fish category. It's not like it is vertically oriented as 191 00:11:47,120 --> 00:11:50,840 Speaker 1: a bluegill or a sunfish. But you've probably caught a 192 00:11:50,840 --> 00:11:54,280 Speaker 1: lot of perch. Yeah. Um, you'll find them competing a 193 00:11:54,280 --> 00:11:56,400 Speaker 1: lot because they are the same size as the pan fish. 194 00:11:56,720 --> 00:11:58,600 Speaker 1: So you know, you'll find them in school sometimes with 195 00:11:58,679 --> 00:12:03,559 Speaker 1: gills uh and fish um, pumpkin seed, you know. And 196 00:12:03,679 --> 00:12:05,800 Speaker 1: the perch kind of suspend a little bit lower where 197 00:12:05,840 --> 00:12:08,360 Speaker 1: I'm from, so it's really hard to get through those gills, 198 00:12:08,800 --> 00:12:11,360 Speaker 1: you know, to get to the perch. So here it's nice. 199 00:12:11,440 --> 00:12:13,400 Speaker 1: You see that mark. You're right, you know, it's either 200 00:12:14,000 --> 00:12:16,120 Speaker 1: one of two things pretty much or one of three. 201 00:12:16,160 --> 00:12:17,840 Speaker 1: I guess it could be a rainbow trout, right. But 202 00:12:18,679 --> 00:12:20,720 Speaker 1: so that was really cool coming out here and not 203 00:12:20,800 --> 00:12:23,400 Speaker 1: having to kind of because we do love fishing for perch. 204 00:12:23,480 --> 00:12:25,160 Speaker 1: It isn't that. It's just they tend to be a 205 00:12:25,200 --> 00:12:27,720 Speaker 1: little bit finicky. Um I was fishing for him three 206 00:12:27,800 --> 00:12:30,320 Speaker 1: days before I came here, and uh we end up 207 00:12:30,320 --> 00:12:33,280 Speaker 1: just switching and went to bluegill. Right, you're like, this 208 00:12:33,360 --> 00:12:35,760 Speaker 1: thing's biting. Yeah, yeah, I just been you know, one 209 00:12:35,760 --> 00:12:38,520 Speaker 1: of those years. Just look bites. Seems like it's starting late. 210 00:12:39,640 --> 00:12:44,200 Speaker 1: We had a interesting morning today, like it's like, drilled 211 00:12:44,200 --> 00:12:48,800 Speaker 1: some holes. So he got on some sleds ripped out 212 00:12:48,840 --> 00:12:51,600 Speaker 1: on the lake. For me, it's ripping out on the lake. 213 00:12:51,679 --> 00:12:56,760 Speaker 1: It's like a conservative twenty five mile and uh, we 214 00:12:56,880 --> 00:13:01,480 Speaker 1: drilled some holes, started picking up fish on our vexiler 215 00:13:01,720 --> 00:13:06,000 Speaker 1: like hummingbird fish finders were at and we're not getting 216 00:13:06,000 --> 00:13:08,760 Speaker 1: any bites. Like you knew the fish were down there. 217 00:13:09,280 --> 00:13:12,280 Speaker 1: You're picking them up on the electronics, but you just 218 00:13:12,360 --> 00:13:16,000 Speaker 1: couldn't get one to eat something. Yeah, a little frustrating 219 00:13:16,040 --> 00:13:19,800 Speaker 1: sometimes they yeah, absolutely, but marketing them is always fun. 220 00:13:19,920 --> 00:13:21,760 Speaker 1: But when you know it's a fish, you know your 221 00:13:21,800 --> 00:13:24,240 Speaker 1: baits right there, You know the fish is doing its job. 222 00:13:24,360 --> 00:13:26,439 Speaker 1: You know the bait's probably doing its its job. And 223 00:13:26,880 --> 00:13:30,520 Speaker 1: then mark the fish is following your bait up and 224 00:13:30,559 --> 00:13:34,319 Speaker 1: down the column. Yeh, fire in the hole. Yeah, it's 225 00:13:34,360 --> 00:13:37,640 Speaker 1: just it's not connecting with it. Yeah, that was making 226 00:13:37,640 --> 00:13:39,520 Speaker 1: me a little self conscious. But I just tried to 227 00:13:39,520 --> 00:13:42,199 Speaker 1: switch up my cadence. Um, you know, keep slamming it 228 00:13:42,280 --> 00:13:44,080 Speaker 1: on that bottom, mix it up a little bit like 229 00:13:44,120 --> 00:13:46,560 Speaker 1: we were doing. Pulled up, take a little bit and 230 00:13:46,600 --> 00:13:51,280 Speaker 1: hope for the best. Yeah. And I mean so prior 231 00:13:51,480 --> 00:13:56,400 Speaker 1: to coming here, what was your biggest yellow perch? The 232 00:13:56,440 --> 00:14:00,400 Speaker 1: biggest yellow perch was about almost twelve inches so, eleven 233 00:14:00,400 --> 00:14:04,240 Speaker 1: and three fourths so. And then out here on the 234 00:14:04,520 --> 00:14:10,640 Speaker 1: on the ice the first day you uh, you broke 235 00:14:11,559 --> 00:14:17,040 Speaker 1: ye right, you broke a half yeah, yeah, and then 236 00:14:17,080 --> 00:14:22,040 Speaker 1: you got one today that was thirteen and three. I think, yeah, 237 00:14:22,200 --> 00:14:25,560 Speaker 1: wild Yeah. I told him if we could live well 238 00:14:25,640 --> 00:14:26,840 Speaker 1: this and I could take it back home, I'd be 239 00:14:26,880 --> 00:14:31,280 Speaker 1: a pretty big deal. And and I am so far 240 00:14:31,800 --> 00:14:35,160 Speaker 1: behind the curve in the world of perch fishing. It's 241 00:14:35,240 --> 00:14:38,520 Speaker 1: it's like an adult onset thing for me. Like, you know, 242 00:14:38,720 --> 00:14:42,000 Speaker 1: in Montana, it's just not not a species that people 243 00:14:42,040 --> 00:14:45,000 Speaker 1: from Montana like. Really, you know, it's like your neighbor 244 00:14:45,400 --> 00:14:49,360 Speaker 1: who moved to Montana from Minnesota or Michigan or someplace 245 00:14:50,240 --> 00:14:53,600 Speaker 1: they fished for perch, and you were always like gives 246 00:14:54,040 --> 00:14:57,920 Speaker 1: maybe for throwing like spinners off the dock at Flathead 247 00:14:58,000 --> 00:14:59,760 Speaker 1: Lake or something like that, you'd pick up a perch, 248 00:14:59,840 --> 00:15:03,360 Speaker 1: but it um mostly control them too where I'm from 249 00:15:04,400 --> 00:15:08,800 Speaker 1: with this little spinner. Oh nice. Yeah, and obviously open 250 00:15:08,840 --> 00:15:12,800 Speaker 1: water right yeah, but yeah, uh, just the variety of 251 00:15:12,840 --> 00:15:17,520 Speaker 1: species as you as you move in towards the interior, right, 252 00:15:17,560 --> 00:15:20,520 Speaker 1: like the high mountains, the high area altitudes just don't 253 00:15:20,880 --> 00:15:26,080 Speaker 1: we don't support as much life. The old tiny hockey channel. 254 00:15:27,080 --> 00:15:29,240 Speaker 1: I look at that man, like you're you're hitting so 255 00:15:29,280 --> 00:15:35,080 Speaker 1: many touch points of the outdoors, right, Like there's fire, 256 00:15:35,560 --> 00:15:41,360 Speaker 1: there's cooking outside, there's fishing. Certainly some hockey at least 257 00:15:41,360 --> 00:15:48,880 Speaker 1: some hockey references, right uh uh canoeing, seen canoeing on there, 258 00:15:48,960 --> 00:15:53,880 Speaker 1: seen snowshoeing. I love it absolutely. What what were like 259 00:15:53,920 --> 00:15:57,640 Speaker 1: your outdoor influences? Um? Growing up was just my family, 260 00:15:57,880 --> 00:15:59,400 Speaker 1: you know, I was lucky enough to grow up around 261 00:15:59,400 --> 00:16:01,400 Speaker 1: a lot of it, lucky enough to grow up in 262 00:16:01,400 --> 00:16:04,160 Speaker 1: a region where a lot of it's pretty common. I 263 00:16:04,160 --> 00:16:07,960 Speaker 1: would say probably my biggest influence was my grandfather, because 264 00:16:08,000 --> 00:16:10,320 Speaker 1: that's kind of who installed you know, the ethics, and 265 00:16:10,360 --> 00:16:13,160 Speaker 1: my father that he passed down to me, taught me 266 00:16:13,200 --> 00:16:15,520 Speaker 1: how to hunt, taught me how to do it ethically, 267 00:16:15,680 --> 00:16:19,360 Speaker 1: and you know, just to respect the animal and you know, 268 00:16:19,560 --> 00:16:22,240 Speaker 1: do it right, do things right. Um, there's a right 269 00:16:22,280 --> 00:16:24,320 Speaker 1: way to put meat on the table, and he taught 270 00:16:24,320 --> 00:16:26,880 Speaker 1: me that. And uh, I would say if that I 271 00:16:26,920 --> 00:16:28,960 Speaker 1: could nail down a person that was the biggest influence, 272 00:16:29,000 --> 00:16:32,160 Speaker 1: it would probably be my grandfather. Deer hunting was probably 273 00:16:32,200 --> 00:16:35,400 Speaker 1: my entrance into the wild per se, just that I 274 00:16:35,440 --> 00:16:38,200 Speaker 1: grew up around mostly um, like you were talking about 275 00:16:38,200 --> 00:16:41,080 Speaker 1: perch fish, I didn't necessarily grow up perch fishing. Um, 276 00:16:41,320 --> 00:16:43,040 Speaker 1: we just call it pan fishing where I'm from. You 277 00:16:43,080 --> 00:16:46,600 Speaker 1: hope to get a perch. But I'd say deer hunting 278 00:16:46,640 --> 00:16:48,760 Speaker 1: was pretty much probably my biggest influence that got me 279 00:16:48,760 --> 00:16:51,200 Speaker 1: into the outdoors. Um, got me into the science of 280 00:16:51,240 --> 00:16:54,280 Speaker 1: it kind of per se. And you know, years of 281 00:16:54,320 --> 00:16:56,120 Speaker 1: work makes up for that one moment when you get 282 00:16:56,120 --> 00:16:58,040 Speaker 1: a buck that came in, you know, that first time. 283 00:16:58,480 --> 00:17:00,280 Speaker 1: So I think that kind of instilled in me like 284 00:17:00,600 --> 00:17:03,000 Speaker 1: this has a payoff. You know, it's not just about 285 00:17:03,000 --> 00:17:05,600 Speaker 1: like going out getting an animal, or it's not about 286 00:17:05,640 --> 00:17:08,879 Speaker 1: like you know, just going out and trying to film 287 00:17:08,960 --> 00:17:11,720 Speaker 1: things and stuff like that. It's about, you know, building 288 00:17:11,800 --> 00:17:15,040 Speaker 1: up relationship with nature. And I've been fortunate enough that 289 00:17:15,080 --> 00:17:17,159 Speaker 1: I grew up around it. Um, So I think that's 290 00:17:17,160 --> 00:17:18,919 Speaker 1: a little bit I guess what I'm trying to pass on, 291 00:17:19,240 --> 00:17:21,920 Speaker 1: you know what, I'm trying to show people that there 292 00:17:22,000 --> 00:17:24,399 Speaker 1: is outlets like nature out there and a lot of 293 00:17:24,440 --> 00:17:28,440 Speaker 1: things you can do in it. Right, absolutely, if you 294 00:17:28,840 --> 00:17:32,680 Speaker 1: really wanted to like get a message out in regards 295 00:17:32,680 --> 00:17:35,640 Speaker 1: to like, you know, it's obvious that that you've had 296 00:17:35,760 --> 00:17:38,439 Speaker 1: an outdoor education, right, and you've had a lot of 297 00:17:38,480 --> 00:17:42,080 Speaker 1: influence in the outdoors you. I mean, this is your 298 00:17:42,200 --> 00:17:44,920 Speaker 1: your job now, right, this is what your your full 299 00:17:44,960 --> 00:17:49,920 Speaker 1: time living is, right, and it's kind of an immersive 300 00:17:50,040 --> 00:17:56,040 Speaker 1: outdoor experience. Um, thank you in far fewer words than 301 00:17:56,280 --> 00:18:00,359 Speaker 1: than I do things. It's uh, it's working, it's great. 302 00:18:01,040 --> 00:18:05,280 Speaker 1: Thank you. So if you want to take that and 303 00:18:05,920 --> 00:18:09,840 Speaker 1: relay that to somebody, Uh, do you have any like takeaways? 304 00:18:09,920 --> 00:18:11,600 Speaker 1: Like if you say, like, hey, if you can look 305 00:18:11,600 --> 00:18:14,560 Speaker 1: at all my stuff and and he needed me to 306 00:18:14,600 --> 00:18:17,960 Speaker 1: suggest something, I would prefer you take this out of it. 307 00:18:18,320 --> 00:18:22,720 Speaker 1: I guess I would just tell everybody I'm not an expert, 308 00:18:22,840 --> 00:18:26,359 Speaker 1: you know, I'm an apprentice. I'm an outdoor apprentice. I'm 309 00:18:26,400 --> 00:18:29,040 Speaker 1: still willing to learn. I don't know everything by any means. 310 00:18:29,560 --> 00:18:33,800 Speaker 1: So I guess if people could take one thing from it, 311 00:18:33,800 --> 00:18:36,640 Speaker 1: it would be, um, don't be intimidated by get out there, 312 00:18:36,680 --> 00:18:39,640 Speaker 1: get your feet wet, um, start learning things. Don't think 313 00:18:39,640 --> 00:18:42,280 Speaker 1: you ever know everything, which I was fortunate enough my 314 00:18:42,640 --> 00:18:45,960 Speaker 1: once I turned about thirty late twenties, started being a 315 00:18:46,000 --> 00:18:48,240 Speaker 1: little bit more receptive to people trying to teach me things. 316 00:18:49,400 --> 00:18:53,800 Speaker 1: So Anny, how that happens, right, So, UM, I guess 317 00:18:53,840 --> 00:18:55,920 Speaker 1: that would be you know, nature has been a big 318 00:18:55,960 --> 00:18:58,320 Speaker 1: part of my life. But um, I still think I'm 319 00:18:58,320 --> 00:19:01,000 Speaker 1: early on my journey, and I just hope people start 320 00:19:01,080 --> 00:19:05,680 Speaker 1: there's too that's great. So out here in Idaho, we're 321 00:19:05,760 --> 00:19:08,800 Speaker 1: missing your second half, the donny Brook of the old 322 00:19:08,840 --> 00:19:15,200 Speaker 1: timey hockey. We UH have a snort here, the Snort Report, 323 00:19:15,320 --> 00:19:17,399 Speaker 1: and UH, I just gotta tell you, like, one of 324 00:19:17,480 --> 00:19:21,280 Speaker 1: the cutest things of the week is initially UH we 325 00:19:21,560 --> 00:19:23,960 Speaker 1: you know we're all writing not tandem, but I guess 326 00:19:24,000 --> 00:19:28,760 Speaker 1: triple counting the dog on UH snowmobile I borrowed from 327 00:19:28,800 --> 00:19:32,920 Speaker 1: Stephen Ronnella and UH at the very beginning of the week. 328 00:19:33,040 --> 00:19:38,520 Speaker 1: Snort very intimidated by jumping up on the sled with 329 00:19:38,560 --> 00:19:44,679 Speaker 1: Fritz here and today was just automatic, like basically Fritz 330 00:19:44,680 --> 00:19:48,919 Speaker 1: opens his arms and Snort jumps into them. Hopefully we 331 00:19:49,000 --> 00:19:51,280 Speaker 1: captured some of that on camera. We're gonna get this 332 00:19:51,359 --> 00:19:56,080 Speaker 1: out on a future field report. Cal's we can review 333 00:19:56,119 --> 00:19:59,040 Speaker 1: field Report that old YouTube series will fire back up 334 00:19:59,520 --> 00:20:04,120 Speaker 1: and show you some good outdoor adventures. Thank you very much, 335 00:20:04,160 --> 00:20:06,760 Speaker 1: France man, it's been great. Thank you. Hopefully we can 336 00:20:06,800 --> 00:20:09,240 Speaker 1: plan on something else, right, Yeah, thank you. Though from 337 00:20:09,240 --> 00:20:11,040 Speaker 1: buying my heart, this is a trip of a lifetime. 338 00:20:11,160 --> 00:20:14,199 Speaker 1: Coming out here. Crew was great. It was amazing. I 339 00:20:14,280 --> 00:20:17,080 Speaker 1: just thank you. Oh yeah, man, thank you so much. Yeah, 340 00:20:17,080 --> 00:20:22,000 Speaker 1: it's it's a it's such a goofy deal for me. 341 00:20:22,040 --> 00:20:24,040 Speaker 1: I mean, like, I'm thirty nine, I got a couple 342 00:20:24,080 --> 00:20:27,600 Speaker 1: of years on you. Uh, like chatting with folks over 343 00:20:27,600 --> 00:20:30,080 Speaker 1: the internet sometimes, right, it's like reaching out and be like, hey, 344 00:20:30,119 --> 00:20:32,920 Speaker 1: I see you're doing some stuff. It's very cool. Uh, 345 00:20:33,000 --> 00:20:36,879 Speaker 1: let's go fishing sometime, right and then connect and do it. 346 00:20:36,960 --> 00:20:42,040 Speaker 1: Is like the magic of connectivity these days. But you 347 00:20:42,119 --> 00:20:43,760 Speaker 1: kind of never know what you're gonna get. So I'll 348 00:20:43,800 --> 00:20:46,800 Speaker 1: just say on the record like old timey hockey. Fritz 349 00:20:47,680 --> 00:20:50,440 Speaker 1: is a good guy to go fishing with. Thank you, 350 00:20:50,840 --> 00:20:55,720 Speaker 1: so is cal Thank you, so before we go, Where 351 00:20:55,720 --> 00:20:57,400 Speaker 1: did folks find you? What do you got? What else 352 00:20:57,440 --> 00:21:00,520 Speaker 1: you got going on? What's the next thing? We'll see 353 00:21:00,520 --> 00:21:02,480 Speaker 1: you in the next thing, just day at a time, 354 00:21:02,600 --> 00:21:05,040 Speaker 1: right now, but right now. You can find me on 355 00:21:05,080 --> 00:21:08,480 Speaker 1: TikTok at old time Hockey. You find on Instagram, YouTube, 356 00:21:08,880 --> 00:21:11,280 Speaker 1: find me at red Wings, Ooper seven one seven at 357 00:21:11,280 --> 00:21:15,320 Speaker 1: all dot com. Drop me an email. I'm always available, 358 00:21:15,359 --> 00:21:17,520 Speaker 1: send me a message. Do we have to spell old 359 00:21:17,520 --> 00:21:19,960 Speaker 1: time hockey because you spell it a little funky? Right? Yeah, 360 00:21:20,000 --> 00:21:22,600 Speaker 1: a good call should have done that. It's a old 361 00:21:22,600 --> 00:21:25,479 Speaker 1: time O L D T I M E. And then 362 00:21:25,520 --> 00:21:28,600 Speaker 1: I spelled hockey h A w K E Y. No 363 00:21:28,720 --> 00:21:35,439 Speaker 1: real reason. The other name was taken a lot of 364 00:21:35,480 --> 00:21:37,880 Speaker 1: news over at the old people desk, and no, when 365 00:21:37,880 --> 00:21:40,840 Speaker 1: we're not talking about a reboot of the TV series 366 00:21:40,880 --> 00:21:44,760 Speaker 1: The Golden Girls. Betty White, rest in peace. If you 367 00:21:44,800 --> 00:21:47,560 Speaker 1: can keep the heat low enough, you can brown both 368 00:21:47,600 --> 00:21:51,640 Speaker 1: sides of the omelet without burning it. Oh you're welcome, 369 00:21:52,080 --> 00:21:54,840 Speaker 1: and if you ever want any more advice, I'm always 370 00:21:54,840 --> 00:22:01,719 Speaker 1: here you too. Thank you, Mr. President. First Up. Scientists 371 00:22:01,720 --> 00:22:05,440 Speaker 1: have found the first documented case of disease transmission from 372 00:22:05,520 --> 00:22:09,280 Speaker 1: animal to human, which likely took place while that early 373 00:22:09,400 --> 00:22:13,200 Speaker 1: human was butchering game. A team of Swiss scientists made 374 00:22:13,200 --> 00:22:16,959 Speaker 1: the discovery recently while re examining the first fully intact 375 00:22:17,040 --> 00:22:21,080 Speaker 1: Neanderthal skeleton ever found. We've known for a long time 376 00:22:21,240 --> 00:22:25,680 Speaker 1: that this Neanderthal lived about age sixty and suffered from 377 00:22:25,760 --> 00:22:29,640 Speaker 1: arthritis that had deformed as joints very severely. This guy 378 00:22:29,720 --> 00:22:32,919 Speaker 1: could have used Madville, but this new analysis showed that 379 00:22:33,000 --> 00:22:35,600 Speaker 1: all of the joint damage couldn't have been caused only 380 00:22:35,640 --> 00:22:39,040 Speaker 1: by arthritis. The authors write that the skeleton shows quote 381 00:22:39,200 --> 00:22:44,080 Speaker 1: erosions at multiple non contiguous vertebrae and reactive bone formation 382 00:22:44,160 --> 00:22:47,480 Speaker 1: extending far beyond the left hip joint, which suggests that 383 00:22:47,520 --> 00:22:53,960 Speaker 1: additional diagnosis of brucellosis. That's right, brucellosis, that disease that 384 00:22:54,119 --> 00:22:57,840 Speaker 1: prevents ranchers from loving bison, and that disease that means 385 00:22:57,840 --> 00:23:00,600 Speaker 1: that our neanderthal could have used much more than advil, 386 00:23:00,960 --> 00:23:04,680 Speaker 1: like an epidural from the neck down. We have covered 387 00:23:04,720 --> 00:23:07,680 Speaker 1: brucellosis a whole bunch on the show, but as a refresher, 388 00:23:07,880 --> 00:23:11,760 Speaker 1: Brucellosis is a bacterial infection most commonly found in hooved 389 00:23:11,920 --> 00:23:16,000 Speaker 1: mammals and transmitted mainly through contact with infected after birth. 390 00:23:16,480 --> 00:23:21,679 Speaker 1: It's most publicized effect is causing pregnant cows to miscarry. 391 00:23:22,200 --> 00:23:25,600 Speaker 1: You'll remember that a huge controversy around bison reintroduction is 392 00:23:25,640 --> 00:23:29,720 Speaker 1: the worry that the bison could possibly spread brucellosis to cattle. 393 00:23:30,160 --> 00:23:33,800 Speaker 1: But Brucella bacteria also infects all kinds of tissue, from 394 00:23:33,840 --> 00:23:36,399 Speaker 1: bone and muscle to liver and kidneys, and it causes 395 00:23:36,400 --> 00:23:39,680 Speaker 1: severe fever as well as joint and muscle pain. There 396 00:23:39,720 --> 00:23:43,440 Speaker 1: have been many modern cases of humans contracting brucellosis from 397 00:23:43,440 --> 00:23:46,359 Speaker 1: all kinds of infected animal tissue, and hunters can be 398 00:23:46,440 --> 00:23:50,679 Speaker 1: particularly susceptible. Pack those latex gloves and wash your knives 399 00:23:50,800 --> 00:23:53,919 Speaker 1: if you're hunting game that might be infected. You do 400 00:23:54,000 --> 00:23:57,560 Speaker 1: not want to end up like our Neandertal friend. Because 401 00:23:57,600 --> 00:24:00,679 Speaker 1: there were no domestic cattle back in Neanderthal times, the 402 00:24:00,760 --> 00:24:04,960 Speaker 1: disease was almost definitely picked up while processing deer or 403 00:24:05,280 --> 00:24:08,920 Speaker 1: or rock, or eating raw meat. No latex gloves or 404 00:24:08,960 --> 00:24:12,879 Speaker 1: pellet grills available back then. Brucellosis is just one of 405 00:24:12,920 --> 00:24:16,199 Speaker 1: the animal diseases that have transferred to humans along with 406 00:24:16,320 --> 00:24:19,760 Speaker 1: AIDS and COVID, and maybe, if we give it enough time, 407 00:24:19,800 --> 00:24:22,720 Speaker 1: c w D could make that jump to either to 408 00:24:22,840 --> 00:24:28,520 Speaker 1: humans or cattle or both oh quick aside. In the 409 00:24:28,640 --> 00:24:31,800 Speaker 1: history of anthropology, as we mentioned earlier, the specimen known 410 00:24:31,840 --> 00:24:34,840 Speaker 1: as the Old Man of La Chapelle was the first 411 00:24:34,880 --> 00:24:39,680 Speaker 1: fully intact Neanderthal skeleton ever found. Way back in when 412 00:24:39,680 --> 00:24:42,360 Speaker 1: he first turned up, researchers didn't realize he had such 413 00:24:42,440 --> 00:24:46,440 Speaker 1: severe bone disease, and his deformed skeleton shape was interpreted 414 00:24:46,600 --> 00:24:50,600 Speaker 1: as how all Neanderthals were built that means due to 415 00:24:50,680 --> 00:24:54,760 Speaker 1: this one individual's arthritis and brucellosis. The image of the 416 00:24:54,800 --> 00:24:58,720 Speaker 1: stooped over head jutting out caveman took hold, and all 417 00:24:58,760 --> 00:25:01,800 Speaker 1: those drawings you see gowing monkeys turning into humans by 418 00:25:01,840 --> 00:25:05,359 Speaker 1: standing up straighter and straighter were based on bad marketing 419 00:25:06,040 --> 00:25:09,640 Speaker 1: and speaking of painful images, the best preserved cave painting 420 00:25:09,680 --> 00:25:12,520 Speaker 1: of a human being gathering honey from a bee's nest 421 00:25:12,800 --> 00:25:16,280 Speaker 1: was recently discovered in the Baranco Gomez Rock shelter in 422 00:25:16,359 --> 00:25:20,719 Speaker 1: northeast Spain. The amazingly clear picture is seventy five hundred 423 00:25:20,760 --> 00:25:23,639 Speaker 1: years old and shows a person scaling a rope ladder 424 00:25:23,680 --> 00:25:26,119 Speaker 1: anchored at the top of a cliff and secured to 425 00:25:26,160 --> 00:25:29,280 Speaker 1: the rock halfway up by a pole. You can make 426 00:25:29,280 --> 00:25:32,560 Speaker 1: out individual bees buzzing around the hive and the figures 427 00:25:32,600 --> 00:25:35,840 Speaker 1: head tilted back to get a better view. And even 428 00:25:35,920 --> 00:25:39,200 Speaker 1: older depiction of honey gathering is the eight thousand year 429 00:25:39,240 --> 00:25:42,840 Speaker 1: old Man of Becor from the Queva de la Arena 430 00:25:43,000 --> 00:25:45,960 Speaker 1: or Cave of Spiders in the same region of Iberia, 431 00:25:46,240 --> 00:25:50,200 Speaker 1: which was discovered and shows the same method of scaling 432 00:25:50,200 --> 00:25:53,399 Speaker 1: a ladder to collect honey. All you mountain goat hunters 433 00:25:53,440 --> 00:25:55,960 Speaker 1: out there may think you're pretty intrepid with crampons and 434 00:25:56,000 --> 00:25:59,959 Speaker 1: ice axes, but dangling from woven vines swatting away stinging 435 00:26:00,000 --> 00:26:02,760 Speaker 1: bees to get some honeycombs, that is some good mountain 436 00:26:02,760 --> 00:26:05,840 Speaker 1: climbing and food getting right there. When you think about 437 00:26:06,000 --> 00:26:09,480 Speaker 1: prehistoric people, you typically hear about the transition from hunting 438 00:26:09,480 --> 00:26:13,040 Speaker 1: and gathering to agriculture around ten to twelve thousand years ago. 439 00:26:13,400 --> 00:26:16,400 Speaker 1: So these paintings from eight thousand years ago were made 440 00:26:16,480 --> 00:26:19,440 Speaker 1: during the transition, and it may not be a coincidence 441 00:26:19,480 --> 00:26:22,639 Speaker 1: that collecting honey was an important subject for these paintings. 442 00:26:22,880 --> 00:26:25,199 Speaker 1: As bee keeping was one of the earliest forms of 443 00:26:25,240 --> 00:26:29,520 Speaker 1: animal husbandry that people ever engaged in. The ancient Egyptians 444 00:26:29,600 --> 00:26:33,159 Speaker 1: carved some very detailed hieroglyphics of bees and bee keeping 445 00:26:33,359 --> 00:26:38,359 Speaker 1: from around four thousand years ago. Interestingly, domestication of bees 446 00:26:38,640 --> 00:26:42,640 Speaker 1: is still incomplete, and in every colony of human controlled 447 00:26:42,680 --> 00:26:46,159 Speaker 1: honey bees, there is an extensive mating with wild bees. 448 00:26:46,480 --> 00:26:50,719 Speaker 1: In fact, some biologists consider bee keeping to be more 449 00:26:50,800 --> 00:26:55,720 Speaker 1: of managing wild hives versus possessing a hive, as most 450 00:26:55,800 --> 00:26:59,280 Speaker 1: colonies are able to survive and migrate to other nests 451 00:26:59,400 --> 00:27:02,520 Speaker 1: if human stopped tending to them. Here's a couple of 452 00:27:02,560 --> 00:27:06,359 Speaker 1: quick honey bee facts for you. Drones routinely fill their 453 00:27:06,400 --> 00:27:09,160 Speaker 1: stomachs with flower nectar, weighing as much as half their 454 00:27:09,200 --> 00:27:12,520 Speaker 1: body weight, and still retain the ability to fly. Their 455 00:27:12,560 --> 00:27:15,719 Speaker 1: digestive enzymes start breaking down the structure of the nectar, 456 00:27:15,920 --> 00:27:18,080 Speaker 1: and once they get back to the nest, they regurgitate 457 00:27:18,160 --> 00:27:21,760 Speaker 1: their hall. That half digested nectar is eaten and re 458 00:27:21,760 --> 00:27:25,720 Speaker 1: regurgitated by hive bees, who then beat their wings over it, 459 00:27:25,880 --> 00:27:29,399 Speaker 1: keeping it at a constant nine degrees until all the 460 00:27:29,440 --> 00:27:32,399 Speaker 1: water evaporates and you end up with honey so the 461 00:27:32,440 --> 00:27:35,160 Speaker 1: next time you're sweetening up your yogurt or cup of tea, 462 00:27:35,560 --> 00:27:40,040 Speaker 1: just remember that's twice evaporated bee barf that you're eating. 463 00:27:46,200 --> 00:27:50,159 Speaker 1: Moving on to the last stop on our prehistoric history 464 00:27:50,240 --> 00:27:55,240 Speaker 1: round up, more evidence has emerged solidifying just how long 465 00:27:55,280 --> 00:27:58,680 Speaker 1: ago humans were hunting their own game, not just scavenging 466 00:27:58,760 --> 00:28:02,320 Speaker 1: leftovers from the keels other animals. A team of scientists 467 00:28:02,359 --> 00:28:05,760 Speaker 1: from the University of San Diego recently analyzed the human 468 00:28:05,800 --> 00:28:08,760 Speaker 1: made cut marks on two million year old gazelle and 469 00:28:08,840 --> 00:28:13,040 Speaker 1: wildebeest bones excavated near Lake Victoria in what is now Kenya. 470 00:28:13,520 --> 00:28:17,080 Speaker 1: Existing research has shown that when lions or other predators 471 00:28:17,160 --> 00:28:20,280 Speaker 1: get first DIBs on prey animals, they concentrate their bites 472 00:28:20,400 --> 00:28:23,159 Speaker 1: on so called hot zones placed on the ends of 473 00:28:23,200 --> 00:28:26,639 Speaker 1: the bones where muscles and tendons connect. If humans come 474 00:28:26,680 --> 00:28:30,240 Speaker 1: along afterwards as scavengers, they don't leave any cut marks 475 00:28:30,320 --> 00:28:33,240 Speaker 1: in those areas because the meat there is already missing. 476 00:28:33,760 --> 00:28:37,119 Speaker 1: In these Lake Victoria bones, however, the hot zones showed 477 00:28:37,119 --> 00:28:40,480 Speaker 1: cut marks from human tools, not from predator teeth, leading 478 00:28:40,520 --> 00:28:43,920 Speaker 1: the scientists to conclude that humans had almost certainly killed 479 00:28:43,960 --> 00:28:47,360 Speaker 1: the animals themselves and been the first to eat them. 480 00:28:47,400 --> 00:28:51,520 Speaker 1: Many anthropologists had supposed that any meat humans were eating 481 00:28:51,560 --> 00:28:54,840 Speaker 1: around this time was pilfered while skulking around the kill 482 00:28:54,920 --> 00:28:58,560 Speaker 1: sites of other better equipped predators, meaning that you can 483 00:28:58,600 --> 00:29:02,360 Speaker 1: now suppose from this kill side that hunting procuring your 484 00:29:02,400 --> 00:29:05,560 Speaker 1: own meat, not stealing it from others, goes back further 485 00:29:05,720 --> 00:29:09,280 Speaker 1: in our makeup than we thought. Interestingly, we don't know 486 00:29:09,360 --> 00:29:12,080 Speaker 1: exactly what kind of early human was doing this hunting 487 00:29:12,560 --> 00:29:15,920 Speaker 1: at two million years ago. It was likely our ancestor, 488 00:29:16,000 --> 00:29:20,080 Speaker 1: Homo habilis a k a. The tool using man. That 489 00:29:20,160 --> 00:29:22,640 Speaker 1: name would fit with all the stone cutting tools found 490 00:29:22,640 --> 00:29:25,240 Speaker 1: at this site, but there were no human bones found. 491 00:29:25,520 --> 00:29:28,520 Speaker 1: You know, don't die where you're having dinner. There is 492 00:29:28,600 --> 00:29:33,080 Speaker 1: some possibility that the hunters in question here were actually Paranthropus, 493 00:29:33,440 --> 00:29:36,240 Speaker 1: a type of hominid who lived in the same area 494 00:29:36,280 --> 00:29:39,040 Speaker 1: at the same time as Homo habilis and whose Latin 495 00:29:39,120 --> 00:29:44,760 Speaker 1: name means essentially alongside human beings. The back teeth of 496 00:29:44,840 --> 00:29:48,320 Speaker 1: Paranthropus are flattened in a way that suggests a fully 497 00:29:48,400 --> 00:29:51,360 Speaker 1: vegetarian diet, but who knows if they were in some 498 00:29:51,400 --> 00:29:54,560 Speaker 1: transition stage of development when this hunt went down two 499 00:29:54,560 --> 00:29:57,760 Speaker 1: million years ago, maybe getting calories from kills like this 500 00:29:57,800 --> 00:30:01,640 Speaker 1: one spurred an entirely new direction of the species. How's 501 00:30:01,680 --> 00:30:04,760 Speaker 1: that for a two million year old cliffhanger? The suspense 502 00:30:04,880 --> 00:30:09,480 Speaker 1: is terrible. He's gonna and the last, but not least 503 00:30:09,720 --> 00:30:14,280 Speaker 1: the grizzly bear desk. The governors in Montana Wyoming both 504 00:30:14,280 --> 00:30:18,600 Speaker 1: submitted petitions recently to delist grizzly bears as threatened under 505 00:30:18,600 --> 00:30:22,160 Speaker 1: the Endangered Species Act. Montana Governor Greg g and Forte 506 00:30:22,360 --> 00:30:25,440 Speaker 1: argued that the grizzly bear population in the Northern Continental 507 00:30:25,520 --> 00:30:30,240 Speaker 1: Divide ecosystem is ready to survive under state management. Wyoming 508 00:30:30,280 --> 00:30:32,960 Speaker 1: Governor Mark Gordon says the same about the grizzlies in 509 00:30:33,000 --> 00:30:37,880 Speaker 1: the Greater Yellowstone ecosystem. Both governors claim that the existential 510 00:30:37,920 --> 00:30:41,720 Speaker 1: threats that the grizzly populations in these ecosystems have passed 511 00:30:41,880 --> 00:30:44,280 Speaker 1: thanks to the hard work of state and federal officials 512 00:30:44,280 --> 00:30:48,040 Speaker 1: and conservation groups. Grizzly populations in these two areas have 513 00:30:48,280 --> 00:30:52,600 Speaker 1: grown from less than two hundred individuals to about seventeen 514 00:30:52,680 --> 00:30:56,400 Speaker 1: hundred bears today. These two areas hold the vast majority 515 00:30:56,480 --> 00:30:59,520 Speaker 1: of the grizzlies in the lower forty eight Grizzly bears 516 00:30:59,520 --> 00:31:02,920 Speaker 1: in the Greater Yellowstone ecosystem are fully recovered, and their 517 00:31:02,960 --> 00:31:06,560 Speaker 1: management is now best entrusted to the experienced and capable 518 00:31:06,640 --> 00:31:11,600 Speaker 1: institutions of the states. Governor Gordon from Wyoming. One of 519 00:31:11,600 --> 00:31:14,760 Speaker 1: the central questions in this debate is whether the populations 520 00:31:14,840 --> 00:31:18,680 Speaker 1: in these two recovery areas can be seen as distinct. 521 00:31:19,320 --> 00:31:22,400 Speaker 1: Part of the reason previous attempts to delist grizzly bears 522 00:31:22,480 --> 00:31:25,400 Speaker 1: have failed is because the states weren't able to explain 523 00:31:25,600 --> 00:31:28,800 Speaker 1: how delisting one group of bears might affect bears in 524 00:31:28,840 --> 00:31:32,840 Speaker 1: the other ecosystems. There are six grizzly bear ecosystems in 525 00:31:32,880 --> 00:31:35,800 Speaker 1: the lower forty eight. The populations in the g y 526 00:31:35,880 --> 00:31:39,840 Speaker 1: E or Greater Yellowstone ecosystem and n c D E 527 00:31:40,120 --> 00:31:44,360 Speaker 1: Northern Continental Divide ecosystem are doing well, which is why 528 00:31:44,400 --> 00:31:47,320 Speaker 1: these governors want to delist the bears in these portions 529 00:31:47,320 --> 00:31:50,760 Speaker 1: of Montana and Wyoming. But the populations in two of 530 00:31:50,760 --> 00:31:53,760 Speaker 1: the other ecosystems are very low, and there are no 531 00:31:53,800 --> 00:31:57,800 Speaker 1: grizzlies in the bitterret in Northern Cascade regions, uh, you know, 532 00:31:58,360 --> 00:32:01,800 Speaker 1: making new grizzly bears. The latest five year status review 533 00:32:01,800 --> 00:32:04,239 Speaker 1: of the species, published in March of last year by 534 00:32:04,280 --> 00:32:06,880 Speaker 1: the U s Fish and Wildlife Service concluded that the 535 00:32:06,920 --> 00:32:11,320 Speaker 1: populations in these two ecosystems have high resiliency, and the 536 00:32:11,360 --> 00:32:14,640 Speaker 1: agency categorized the risk of extinction for the entire Lower 537 00:32:14,720 --> 00:32:19,320 Speaker 1: forty eight population as low, which is great, But the 538 00:32:19,440 --> 00:32:23,240 Speaker 1: US Fish and Wildlife Service still recommended grizzly continue to 539 00:32:23,240 --> 00:32:27,280 Speaker 1: be listed as a threatened species under the Endangered Species Act. 540 00:32:27,720 --> 00:32:30,720 Speaker 1: If their risk of extinction is low, why can't they 541 00:32:30,720 --> 00:32:36,000 Speaker 1: be delisted? Because in scenarios where conservation efforts decrease and 542 00:32:36,040 --> 00:32:39,960 Speaker 1: private land development increases, the populations in the g y 543 00:32:40,000 --> 00:32:44,040 Speaker 1: E and n c d E could suffer significantly. Even 544 00:32:44,080 --> 00:32:47,440 Speaker 1: with a slight decrease in conservation efforts, the populations in 545 00:32:47,480 --> 00:32:52,520 Speaker 1: the Selkirk and Cabinet Yak ecosystems could be eliminated. In 546 00:32:52,560 --> 00:32:55,880 Speaker 1: other words, the agency didn't do what the Wyoming and 547 00:32:55,960 --> 00:32:59,480 Speaker 1: Montana governors want them to do, which is considered the 548 00:32:59,480 --> 00:33:03,200 Speaker 1: bears in the different ecosystems as distinct. The US Fish 549 00:33:03,200 --> 00:33:06,440 Speaker 1: and Wildlife Service didn't recommend delisting one group of bears 550 00:33:06,600 --> 00:33:10,680 Speaker 1: while retaining protections on another group of bears. They considered 551 00:33:10,840 --> 00:33:14,239 Speaker 1: the entire Lower forty eight a single population, and they 552 00:33:14,320 --> 00:33:17,680 Speaker 1: determined that the bear status should remain the same. If 553 00:33:17,680 --> 00:33:20,600 Speaker 1: you're saying, well, that doesn't really make sense. The argument 554 00:33:20,680 --> 00:33:25,440 Speaker 1: here is considering each of these a single population is 555 00:33:25,480 --> 00:33:29,280 Speaker 1: not a long term plan for genetic diversity. Remember way 556 00:33:29,320 --> 00:33:31,480 Speaker 1: back when we talked about the mountain lions in the 557 00:33:31,480 --> 00:33:36,240 Speaker 1: Santa Monica Mountains, we talked about island ecosystems, right, So 558 00:33:36,520 --> 00:33:39,840 Speaker 1: the fear is that bears in the g y E 559 00:33:40,120 --> 00:33:44,040 Speaker 1: will do great for a long time. However, without new 560 00:33:44,080 --> 00:33:46,920 Speaker 1: genes coming in from let's say the n c d 561 00:33:46,920 --> 00:33:51,520 Speaker 1: E or the Northern Cascades or some glacier hugging bear 562 00:33:51,560 --> 00:33:54,840 Speaker 1: way up in Alberta, that population in the g y E, 563 00:33:55,200 --> 00:33:59,360 Speaker 1: because it's isolated, will eventually deteriorate. So the folks that 564 00:33:59,400 --> 00:34:01,600 Speaker 1: are saying way, wait, wait and hang on, let's not 565 00:34:01,720 --> 00:34:05,880 Speaker 1: delist yet. They're thinking about this long term genetic viability 566 00:34:05,920 --> 00:34:08,880 Speaker 1: of a population. It wasn't that long ago that the 567 00:34:08,880 --> 00:34:13,200 Speaker 1: grizzly was fully endangered. There are very few and now 568 00:34:13,600 --> 00:34:16,480 Speaker 1: there's actually more threats to the grizzly bear in a 569 00:34:16,560 --> 00:34:20,319 Speaker 1: place like the Northern Continental Divide ecosystem, where with this 570 00:34:20,480 --> 00:34:24,080 Speaker 1: massive flood of folks into Montana, a lot of grizzly 571 00:34:24,120 --> 00:34:27,640 Speaker 1: bear habitat and range is getting broken up for cabins again, 572 00:34:28,160 --> 00:34:30,160 Speaker 1: these bears need a lot of room to roam. I 573 00:34:30,239 --> 00:34:32,480 Speaker 1: want to hunt them, I want to eat them, just 574 00:34:32,560 --> 00:34:34,839 Speaker 1: like a lot of folks I know, but I also 575 00:34:34,880 --> 00:34:36,799 Speaker 1: want them to be around for a long time. It's 576 00:34:36,800 --> 00:34:40,520 Speaker 1: a tricky situation. The US Fish and Wildlife Service has 577 00:34:40,640 --> 00:34:43,839 Speaker 1: ninety days to respond to each petition, which means they'll 578 00:34:43,880 --> 00:34:45,799 Speaker 1: need to respond to g and four to A by 579 00:34:45,840 --> 00:34:49,840 Speaker 1: March seventeen and to Gordon by April four. As always, 580 00:34:50,200 --> 00:34:53,799 Speaker 1: will update you with any developments. Thank you so much 581 00:34:53,880 --> 00:34:57,080 Speaker 1: for listening. That's all I've got for you this week. Remember, 582 00:34:57,520 --> 00:35:00,760 Speaker 1: even though we're in the depths of winter, spring is coming, 583 00:35:00,880 --> 00:35:02,920 Speaker 1: which means you're gonna have a lot of trees falling 584 00:35:02,960 --> 00:35:06,040 Speaker 1: on your property. That sounds like you. Get your butt 585 00:35:06,080 --> 00:35:09,440 Speaker 1: down to a local friendly steel dealer. Don't know where 586 00:35:09,480 --> 00:35:14,080 Speaker 1: that is. Check out www dot steel Dealers dot com 587 00:35:14,120 --> 00:35:17,359 Speaker 1: and find a local, knowledgeable steel dealer near you. They're 588 00:35:17,360 --> 00:35:19,359 Speaker 1: gonna get you set up with what you need and 589 00:35:19,480 --> 00:35:22,960 Speaker 1: not send you home with what you don't and most importantly, 590 00:35:23,440 --> 00:35:26,600 Speaker 1: right in to a s k CL. That's an ask 591 00:35:26,680 --> 00:35:29,279 Speaker 1: cal at the meat eater dot com and let me 592 00:35:29,280 --> 00:35:31,040 Speaker 1: know what's going on in your neck of the woods. 593 00:35:31,640 --> 00:35:41,279 Speaker 1: Thanks again and I'll talk to you next week.