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These are the user uploaded subtitles that are being translated: 1 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.MX 2 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.MX 3 00:00:19,053 --> 00:00:21,920 [water sloshing] 4 00:00:41,675 --> 00:00:42,975 Ted mcfall (voiceover): It's tough to look 5 00:00:43,077 --> 00:00:44,843 At anything in creation and say, oh, 6 00:00:44,945 --> 00:00:47,413 Yeah, that is an evil creature. 7 00:00:47,515 --> 00:00:51,917 However, something in god's plan is not correct in this matter. 8 00:00:54,455 --> 00:00:56,522 Whenever we find them, we have to kill them. 9 00:00:56,624 --> 00:01:01,460 We cannot tolerate or risk having more of them around. 10 00:01:01,562 --> 00:01:03,362 This creature must be eradicated. 11 00:01:03,464 --> 00:01:07,199 If we fail at this, and it spreads, 12 00:01:07,301 --> 00:01:11,136 Then you can expect catastrophic problems with the honeybees. 13 00:01:18,679 --> 00:01:21,046 [music playing] 14 00:02:26,247 --> 00:02:28,413 One of my favorite screen movies is the movie "the exorcist." 15 00:02:29,683 --> 00:02:30,816 If you watch that movie, you'll hear 16 00:02:30,918 --> 00:02:33,218 The bees buzzing at the very beginning of the movie. 17 00:02:33,320 --> 00:02:36,889 And it's supposed to be a scary, intimidating kind of a noise. 18 00:02:36,991 --> 00:02:41,593 But whenever I hear that sound, I think of something very nice 19 00:02:41,695 --> 00:02:43,595 And something very pleasant. 20 00:02:43,697 --> 00:02:45,998 As a little boy, I didn't really understand 21 00:02:46,100 --> 00:02:47,566 The importance of honeybees. 22 00:02:47,668 --> 00:02:50,435 I just knew that my family needed the honeybees. 23 00:02:50,538 --> 00:02:51,837 And my dad did everything he could 24 00:02:51,939 --> 00:02:53,172 To take care of honeybees. 25 00:02:53,274 --> 00:02:56,975 And in elementary school, there was a big field of clover. 26 00:02:57,077 --> 00:02:58,710 And there were always bees pollinating 27 00:02:58,812 --> 00:02:59,778 That big field of clover. 28 00:03:01,682 --> 00:03:04,550 And some of the other kids would run around that clover field, 29 00:03:04,652 --> 00:03:07,719 And stomp on the bees, and kill the honeybees. 30 00:03:07,821 --> 00:03:10,656 I remember thinking, I wonder if that's my family's bees. 31 00:03:10,758 --> 00:03:14,793 I wonder if those are the bees that make us honey. 32 00:03:14,895 --> 00:03:17,796 Because even then, I had a certain connection to the hives 33 00:03:17,898 --> 00:03:20,599 That we had and the creatures that we 34 00:03:20,701 --> 00:03:22,334 Were entrusted to take care of. 35 00:03:28,976 --> 00:03:31,109 A good beekeeper always has to be aware of what's 36 00:03:31,212 --> 00:03:32,411 Going on with their hives. 37 00:03:32,513 --> 00:03:34,046 Because you never know if a tree is going to fall on a hive, 38 00:03:34,148 --> 00:03:36,148 Or if a lightning bolt's going to hit it, 39 00:03:36,250 --> 00:03:38,483 Or some vandal's going to get to the hive. 40 00:03:38,586 --> 00:03:41,386 And I just went to go do a regular inspection 41 00:03:41,488 --> 00:03:42,921 Just to make sure that everything 42 00:03:43,023 --> 00:03:44,656 Was ready for a long winter. 43 00:03:50,598 --> 00:03:52,798 As I approached the hive, I look down, 44 00:03:52,900 --> 00:03:56,301 And there were thousands of bees that had been slaughtered. 45 00:03:59,473 --> 00:04:01,707 I was just praying to god that once 46 00:04:01,809 --> 00:04:05,010 I opened the hive, that I would find the queen still alive. 47 00:04:05,112 --> 00:04:08,313 But as soon as I open up that lid, and I peered in, 48 00:04:08,415 --> 00:04:09,982 All hope was gone at that point. 49 00:04:10,084 --> 00:04:14,386 60,000 of my honeybees had their heads chopped off. 50 00:04:14,488 --> 00:04:17,289 It's kind of like finding a family pet, or maybe even 51 00:04:17,391 --> 00:04:20,726 A family member that got killed, and you have no idea who did, 52 00:04:20,828 --> 00:04:23,028 Or what did it, or what the heck happened. 53 00:04:23,130 --> 00:04:25,631 You just get that bad feeling in the pit of your stomach 54 00:04:25,733 --> 00:04:28,200 That something terrible has happened. 55 00:04:28,302 --> 00:04:30,636 I called my wife dorothy, and I was like, hey, dorothy, 56 00:04:30,738 --> 00:04:31,737 You're not going to believe this. 57 00:04:31,839 --> 00:04:33,238 We just lost a whole colony. 58 00:04:33,340 --> 00:04:34,339 And she said, what? 59 00:04:34,441 --> 00:04:35,741 What happened? 60 00:04:35,843 --> 00:04:37,943 The first thing that anyone says whenever something bad happens 61 00:04:38,045 --> 00:04:38,944 Is, well, what happened? 62 00:04:39,046 --> 00:04:40,412 If someone dies-- oh, what happened? 63 00:04:40,514 --> 00:04:42,848 Or if someone breaks an arm-- what happened? 64 00:04:42,950 --> 00:04:44,016 Well, that's exactly what she said. 65 00:04:44,118 --> 00:04:45,117 What happened? 66 00:04:45,219 --> 00:04:47,286 I'm juggling kids, and then hearing this. 67 00:04:47,388 --> 00:04:49,087 And at the time, I was pregnant. 68 00:04:49,189 --> 00:04:50,689 So it was stressful. 69 00:04:50,791 --> 00:04:51,957 It was a stressful call. 70 00:04:52,059 --> 00:04:53,625 She could not believe it. 71 00:04:53,727 --> 00:04:55,093 Her jaw was dropped. 72 00:04:55,195 --> 00:04:56,028 And I'll never forget. 73 00:04:56,130 --> 00:04:57,429 She took her hand, and she kind of 74 00:04:57,531 --> 00:05:00,165 Raked it through the bee bodies, just looking at it, real quiet. 75 00:05:03,103 --> 00:05:07,606 And actually, I shouldn't get choked up about silly bees. 76 00:05:07,708 --> 00:05:09,574 Well, I guess to us, it's not silly bees, right? 77 00:05:11,211 --> 00:05:12,944 Hang on a second. 78 00:05:13,047 --> 00:05:14,346 Had to compose myself. 79 00:05:14,448 --> 00:05:21,320 If I had a chalk, and you did the little outline of a scene, 80 00:05:21,422 --> 00:05:23,488 You could easily do it around our bees. 81 00:05:23,590 --> 00:05:24,823 And it's a murder scene. 82 00:05:26,160 --> 00:05:27,459 I had a lot of theories in my mind. 83 00:05:27,561 --> 00:05:30,629 I thought maybe someone came in, and gassed my bees, 84 00:05:30,731 --> 00:05:34,466 And then decided to cut their heads off, some satanic cult. 85 00:05:34,568 --> 00:05:35,867 At that point, who knows? 86 00:05:35,936 --> 00:05:38,070 When something mysterious happens, 87 00:05:38,172 --> 00:05:40,706 Anything is a possibility at that point. 88 00:05:40,808 --> 00:05:42,307 It's just a helpless feeling. 89 00:05:42,409 --> 00:05:43,975 Because I know how to take care of my bees. 90 00:05:44,078 --> 00:05:47,245 I know how to keep my bees strong, healthy. 91 00:05:47,348 --> 00:05:49,748 And I take care of my bees, and my bees 92 00:05:49,850 --> 00:05:51,249 Take care of our family. 93 00:05:51,352 --> 00:05:52,684 And that's what I do. 94 00:06:06,533 --> 00:06:07,699 Come on, conrad. 95 00:06:07,801 --> 00:06:08,633 Come on. 96 00:06:10,637 --> 00:06:11,503 Good boy. 97 00:06:17,144 --> 00:06:19,678 It was just a regular morning, like any other, 98 00:06:19,780 --> 00:06:21,713 Taking the dog out for a walk. 99 00:06:21,815 --> 00:06:25,250 I looked down, and I spotted a hornet 100 00:06:25,352 --> 00:06:26,485 Laying here on the concrete. 101 00:06:28,288 --> 00:06:31,890 It was the biggest hornet I'd ever seen in my entire life. 102 00:06:31,992 --> 00:06:37,529 It had its stinger sticking out, and it was a big stinger. 103 00:06:37,631 --> 00:06:40,432 I grabbed my phone and took a few pictures. 104 00:06:42,636 --> 00:06:45,904 My wife recommended that I posted him on reddit, 105 00:06:46,006 --> 00:06:47,839 So I found this subreddit-- 106 00:06:47,941 --> 00:06:48,940 What'sthisbug. 107 00:06:51,845 --> 00:06:55,147 Not long after that, I got a reply saying, 108 00:06:55,249 --> 00:06:56,982 You should save the wasp and report it 109 00:06:57,084 --> 00:07:00,585 To your local department of agriculture and the washington 110 00:07:00,687 --> 00:07:01,853 Invasive species council. 111 00:07:03,557 --> 00:07:05,157 Jessica labelle: In December of last year, 112 00:07:05,259 --> 00:07:09,127 A local resident noticed a dead, large, upsetting-looking insect 113 00:07:09,229 --> 00:07:10,629 Outside his home. 114 00:07:10,731 --> 00:07:13,031 It was reported to washington invasive species council, 115 00:07:13,133 --> 00:07:14,900 Who then moved it over to us. 116 00:07:15,002 --> 00:07:17,369 Sven went out to investigate and confirmed that it was 117 00:07:17,471 --> 00:07:19,738 Indeed an asian giant hornet. 118 00:07:19,840 --> 00:07:21,973 [shutter clicking] 119 00:07:22,075 --> 00:07:23,408 It was actually shocking. 120 00:07:23,510 --> 00:07:25,343 It looked like a child's toy because they're 121 00:07:25,446 --> 00:07:29,214 So much larger than the other hornets that we deal with. 122 00:07:29,316 --> 00:07:31,450 My heart sank, because I was like, crap, 123 00:07:31,552 --> 00:07:33,318 That's not a yellowjacket. 124 00:07:33,420 --> 00:07:36,755 I knew zero-- zero-- 125 00:07:36,857 --> 00:07:39,524 About giant hornets before last December. 126 00:07:41,295 --> 00:07:44,296 Sven-erik spichiger: We'd spent the entire holidays of 2019 127 00:07:44,398 --> 00:07:46,631 Reading research paper after research paper, 128 00:07:46,733 --> 00:07:50,068 Regarding its behaviors, if it has any weaknesses. 129 00:07:50,170 --> 00:07:51,369 Turns out, it really doesn't. 130 00:07:51,472 --> 00:07:54,406 It's an apex predator, and nothing really bothers it. 131 00:07:54,508 --> 00:07:57,642 We knew it was a big deal just because of how it can prey 132 00:07:57,744 --> 00:08:00,378 On managed honeybee hives and how detrimental that 133 00:08:00,481 --> 00:08:02,113 Would be for our agriculture. 134 00:08:02,216 --> 00:08:05,350 And we sent out pest alerts on asian giant hornet 135 00:08:05,452 --> 00:08:09,187 To everyone who keeps bees in washington. 136 00:08:09,289 --> 00:08:12,491 And that's when the mcfall bee kill came to our attention too. 137 00:08:12,593 --> 00:08:14,559 What happened to ted mcfall is what we 138 00:08:14,661 --> 00:08:16,428 Worry about for all beekeepers. 139 00:08:16,530 --> 00:08:20,432 Teddy lives about six miles from me. 140 00:08:20,534 --> 00:08:23,401 And so I was extremely concerned that, 141 00:08:23,504 --> 00:08:25,370 Yes, they are in my backyard. 142 00:08:25,472 --> 00:08:29,641 And I don't think it's ok to say, let 143 00:08:29,743 --> 00:08:32,010 Somebody else take care of it. 144 00:08:32,112 --> 00:08:33,879 Ruthie danielsen, she's a beekeeper, 145 00:08:33,981 --> 00:08:36,147 And she contacted us early on and said, 146 00:08:36,250 --> 00:08:38,683 I am setting up an asian giant hornet task force. 147 00:08:38,785 --> 00:08:41,920 Washington state department of agriculture pest program 148 00:08:42,022 --> 00:08:43,989 Is a couple entomologists. 149 00:08:44,091 --> 00:08:45,924 And this year is the year of covid. 150 00:08:46,026 --> 00:08:50,695 So funding for these programs is extremely lean. 151 00:08:50,797 --> 00:08:54,332 And it's really hard to work with a government agency. 152 00:08:54,434 --> 00:08:57,302 There's liabilities, and there's usually so 153 00:08:57,404 --> 00:09:02,007 Many regulations that say no. 154 00:09:02,109 --> 00:09:05,343 And so what can I do, personally, 155 00:09:05,445 --> 00:09:08,413 So that I can feel good that I did everything 156 00:09:08,515 --> 00:09:12,217 I could to protect my bees and protect, 157 00:09:12,319 --> 00:09:13,485 Actually, north america? 158 00:09:16,723 --> 00:09:18,123 I am fascinated by insects. 159 00:09:18,225 --> 00:09:20,225 There's this tiny part of our world 160 00:09:20,327 --> 00:09:22,961 That can have outsized impacts. 161 00:09:23,063 --> 00:09:27,232 Here's a little invasive species showing up for the first time. 162 00:09:27,334 --> 00:09:30,268 And as you start doing the reporting to figure out where 163 00:09:30,370 --> 00:09:31,636 The impact is, and you're like, oh, wow, 164 00:09:31,738 --> 00:09:34,072 Here's someone that lost a whole colony of bees. 165 00:09:34,174 --> 00:09:36,308 And there was a bit of a mystery to the whole thing. 166 00:09:36,410 --> 00:09:38,410 And then as I was reporting this story, 167 00:09:38,512 --> 00:09:40,512 I kept coming across these various nicknames, 168 00:09:40,614 --> 00:09:41,513 A whole bunch of nicknames. 169 00:09:41,615 --> 00:09:43,348 And the one that really stood out to me 170 00:09:43,450 --> 00:09:45,884 Was the yak killer hornet. 171 00:09:45,986 --> 00:09:47,018 Where did that come from? 172 00:09:47,120 --> 00:09:49,387 Did one of these hornets kill some famous yak 173 00:09:49,489 --> 00:09:50,722 Somewhere along the way? 174 00:09:50,824 --> 00:09:52,557 I was just trying to track that down 175 00:09:52,659 --> 00:09:55,393 And contacted this researcher in japan who had worked 176 00:09:55,495 --> 00:09:56,428 With these hornets a lot. 177 00:09:56,530 --> 00:09:57,829 And I was asking, like, do you know where 178 00:09:57,931 --> 00:10:00,031 This yak killer name came from? 179 00:10:00,133 --> 00:10:01,566 And he came back with, actually, I haven't even 180 00:10:01,668 --> 00:10:02,834 Heard that nickname. 181 00:10:02,936 --> 00:10:04,970 Around here, they just call it the murder hornet. 182 00:10:05,072 --> 00:10:09,541 Ok, well, that's-- I guess we can just go with that nickname. 183 00:10:09,643 --> 00:10:10,809 Reporter: "the new york times" reports 184 00:10:10,911 --> 00:10:13,044 Deadly hornets in parts of the us, 185 00:10:13,146 --> 00:10:14,879 And they're called murder hornets. 186 00:10:14,982 --> 00:10:17,449 As if we needed more to worry about than the threat 187 00:10:17,551 --> 00:10:19,951 Of the deadly disease that has gripped the world, 188 00:10:20,053 --> 00:10:22,587 Now there is more fodder for people's nightmares. 189 00:10:22,656 --> 00:10:24,856 Reporter: It looks like something out of a horror film, 190 00:10:24,958 --> 00:10:26,257 With a name to match-- 191 00:10:26,360 --> 00:10:27,258 The murder hornet. 192 00:10:27,361 --> 00:10:28,627 It comes straight out of hollywood 193 00:10:28,729 --> 00:10:31,396 In terms of what you think an evil alien might look like. 194 00:10:31,498 --> 00:10:34,566 They are, in fact, the largest species of wasp on the planet. 195 00:10:34,668 --> 00:10:37,702 And its sting is strong enough to kill a human. 196 00:10:37,804 --> 00:10:40,805 Reporter: Some describe the sting as feeling like hot metal 197 00:10:40,907 --> 00:10:42,107 Inside their skin. 198 00:10:42,209 --> 00:10:43,541 Their jaw can actually take a chunk 199 00:10:43,644 --> 00:10:44,876 Of flesh out of the human body. 200 00:10:44,978 --> 00:10:46,711 Reporter: They can kill people and wipe 201 00:10:46,813 --> 00:10:48,780 Out entire honeybee colonies. 202 00:10:48,882 --> 00:10:52,851 Reporter: 60,000 honeybees torn apart in a savage attack. 203 00:10:52,953 --> 00:10:55,420 There were dead bees all over the front of the hive, 204 00:10:55,522 --> 00:10:56,488 All over the bottom board. 205 00:10:56,590 --> 00:10:58,156 And they all had been chopped to bits. 206 00:10:58,258 --> 00:10:59,491 Reporter: They rip their heads off 207 00:10:59,593 --> 00:11:01,259 And take the thorax for food. 208 00:11:01,361 --> 00:11:04,329 I know nature is violent, but that's like horror movie 209 00:11:04,431 --> 00:11:05,530 Violent. 210 00:11:05,632 --> 00:11:07,666 The pollination that honeybees do for our food 211 00:11:07,768 --> 00:11:09,534 Supply cannot be understated. 212 00:11:09,636 --> 00:11:11,836 Reporter: Washington state entomologist chris looney 213 00:11:11,938 --> 00:11:13,571 Says the clock is ticking. 214 00:11:13,674 --> 00:11:16,608 The goal is to eradicate it now while the population 215 00:11:16,710 --> 00:11:18,009 Is presumably small. 216 00:11:18,111 --> 00:11:20,712 It's a bit of a race for us to find them, and find their nest, 217 00:11:20,814 --> 00:11:23,682 And destroy them before they destroy our honeybees. 218 00:11:23,784 --> 00:11:25,784 If this were to become well-established 219 00:11:25,886 --> 00:11:28,920 And then start spreading, it could be pretty catastrophic. 220 00:11:29,022 --> 00:11:30,055 Reporter: If he and his colleagues 221 00:11:30,157 --> 00:11:32,290 Can't wipe out the invaders this summer, 222 00:11:32,392 --> 00:11:33,892 They're likely to multiply and spread 223 00:11:33,994 --> 00:11:35,694 Across the country with potentially 224 00:11:35,796 --> 00:11:36,961 Disastrous consequences. 225 00:11:37,064 --> 00:11:39,064 Reporter: The big concern that these hornets 226 00:11:39,166 --> 00:11:41,666 Could wipe out the population, which is already under siege-- 227 00:11:41,768 --> 00:11:43,668 Reporter: --Because they kill massive amounts of honeybees-- 228 00:11:43,770 --> 00:11:45,570 [interposing voices] 229 00:11:50,310 --> 00:11:53,278 Albert einstein said that if bees get wiped out, 230 00:11:53,380 --> 00:11:55,847 Then humanity will be wiped out four years after that. 231 00:11:55,949 --> 00:11:58,883 And I'm glad that albert einstein understood very 232 00:11:58,985 --> 00:12:02,721 Clearly the bee's role in pollination, 233 00:12:02,823 --> 00:12:05,890 Because that pollen is really the dust of life. 234 00:12:05,992 --> 00:12:08,793 Early on, before this whole asian giant hornet 235 00:12:08,895 --> 00:12:11,663 Problem hit the media, sven showed up to one 236 00:12:11,765 --> 00:12:12,897 Of our bee club meetings. 237 00:12:12,999 --> 00:12:14,632 This was shortly before the whole pandemic started. 238 00:12:14,735 --> 00:12:16,434 We're looking at each other, saying, hey, what are we 239 00:12:16,536 --> 00:12:17,802 Going to do about this problem? 240 00:12:17,904 --> 00:12:20,371 Because if this thing gets out and starts slaughtering more 241 00:12:20,474 --> 00:12:23,274 Colonies, then everyone's going to be like, hey, 242 00:12:23,376 --> 00:12:25,176 Why didn't we do something at the beginning? 243 00:12:25,278 --> 00:12:28,413 Asian giant hornet's been on my radar since 2013. 244 00:12:28,515 --> 00:12:31,116 In 2013, conditions in southern china 245 00:12:31,218 --> 00:12:33,284 Led to the deaths of 42 people. 246 00:12:33,386 --> 00:12:35,887 Those who did survive are on dialysis for the rest 247 00:12:35,989 --> 00:12:37,489 Of their life, in wheelchairs. 248 00:12:37,591 --> 00:12:39,924 If you get more than one or two stings, 249 00:12:40,026 --> 00:12:41,159 It starts to get serious. 250 00:12:41,261 --> 00:12:44,763 If you get 10 or 12, it becomes life-threatening. 251 00:12:44,865 --> 00:12:46,498 Before you know what's even happening, 252 00:12:46,600 --> 00:12:48,600 You could be in a real serious world of hurt. 253 00:12:48,702 --> 00:12:50,702 So it's one of the secondary reasons 254 00:12:50,804 --> 00:12:52,270 Why we just don't want this to get 255 00:12:52,372 --> 00:12:54,305 Established here permanently. 256 00:12:54,407 --> 00:12:56,241 The chance to eradicate is very rare, 257 00:12:56,343 --> 00:12:58,209 That humans will win a battle against 258 00:12:58,311 --> 00:12:59,744 An invasive introduction. 259 00:12:59,846 --> 00:13:03,615 And you have no idea what the environmental impact 260 00:13:03,717 --> 00:13:06,417 Of adding something else to the ecological system 261 00:13:06,486 --> 00:13:07,952 Is going to have. 262 00:13:08,054 --> 00:13:10,054 Ruthie danielsen: The west coast of the united states 263 00:13:10,157 --> 00:13:13,858 Is perfect habitat for the asian giant hornet. 264 00:13:13,960 --> 00:13:17,061 So that's why it is so important that we 265 00:13:17,164 --> 00:13:21,566 Stop the asian giant hornet from moving any further south. 266 00:13:21,668 --> 00:13:24,002 We're the first line of defense here. 267 00:13:24,104 --> 00:13:26,104 Ted mcfall: We started coming up with ideas for, hey, 268 00:13:26,206 --> 00:13:28,406 Maybe we can figure out a way to eradicate them. 269 00:13:28,508 --> 00:13:30,208 Because we thought that it was going to be pretty much 270 00:13:30,310 --> 00:13:31,476 Us on our own. 271 00:13:31,578 --> 00:13:33,378 We knew that sven and the department of agriculture 272 00:13:33,480 --> 00:13:35,580 Were going to try to help us in some degree, 273 00:13:35,682 --> 00:13:37,348 We weren't sure what. 274 00:13:37,450 --> 00:13:38,850 My hope is it's not too late. 275 00:13:38,952 --> 00:13:40,718 Right now, the murder hornet is only here 276 00:13:40,821 --> 00:13:43,221 In the pacific northwest, in this area somewhere. 277 00:13:43,323 --> 00:13:45,890 The goal is to find the nest. 278 00:13:45,992 --> 00:13:49,627 But finding an asian giant hornet nest 279 00:13:49,729 --> 00:13:53,264 Is difficult at best. 280 00:13:53,366 --> 00:13:55,600 Ted mcfall: No one really knows how bad this murder 281 00:13:55,669 --> 00:13:57,402 Hornet situation could be. 282 00:13:57,504 --> 00:14:01,372 Could it throw the entire world into the pangs of poverty? 283 00:14:01,474 --> 00:14:03,107 It's possible. 284 00:14:03,210 --> 00:14:05,577 The fact that they got here shows that there 285 00:14:05,679 --> 00:14:08,213 Is something terribly wrong. 286 00:14:08,315 --> 00:14:10,148 And the only way to make right is 287 00:14:10,250 --> 00:14:14,385 To kill the asian giant hornet that seeks 288 00:14:14,487 --> 00:14:17,021 Out to destroy these honeybees. 289 00:14:17,123 --> 00:14:18,990 And I tell you what, if we're unsuccessful getting rid 290 00:14:19,092 --> 00:14:21,926 Of this murder hornet, god help us all. 291 00:14:37,577 --> 00:14:39,377 Chris looney: I have always been the kind of entomologist 292 00:14:39,479 --> 00:14:41,112 That catches insects. 293 00:14:41,214 --> 00:14:42,380 I don't have a collection. 294 00:14:42,482 --> 00:14:44,983 I have no qualms about killing insects. 295 00:14:45,085 --> 00:14:47,986 But if I'm not contributing to new knowledge, 296 00:14:48,088 --> 00:14:50,622 It's just not really my gig to catch bugs. 297 00:14:50,724 --> 00:14:52,257 But I like to do it when there's a reason. 298 00:14:56,029 --> 00:14:59,864 I have looked for some insects that I really wanted to find, 299 00:14:59,966 --> 00:15:03,334 But nothing like this, where the stakes were high, 300 00:15:03,436 --> 00:15:05,503 The people were watching. 301 00:15:05,605 --> 00:15:07,805 My entire professional life was wrapped around it. 302 00:15:09,309 --> 00:15:11,676 Short of being able to follow one, walking around the woods 303 00:15:11,778 --> 00:15:14,445 And looking for one is another pretty decent tool. 304 00:15:14,547 --> 00:15:15,780 It's actually a horrible tool, but we're 305 00:15:15,882 --> 00:15:16,681 Going to do it anyway. 306 00:15:16,783 --> 00:15:17,615 Hornet in a haystack. 307 00:15:19,719 --> 00:15:24,155 If there is anything that influenced me as a kid, 308 00:15:24,257 --> 00:15:25,890 It was not science. 309 00:15:25,992 --> 00:15:27,358 This just happened by accident. 310 00:15:27,460 --> 00:15:28,693 I'm not a good mechanic. 311 00:15:28,795 --> 00:15:30,828 I'm not especially religious, so monk was probably out. 312 00:15:30,931 --> 00:15:33,965 And I have no stories to tell, so no ernest 313 00:15:34,067 --> 00:15:35,967 Hemingway option either. 314 00:15:36,069 --> 00:15:37,835 The nests apparently have these really 315 00:15:37,938 --> 00:15:39,704 Distinctive mounts of soil. 316 00:15:39,806 --> 00:15:43,241 They nest in the ground, often in rodent burrows, 317 00:15:43,343 --> 00:15:45,843 Or exposures made around rotting tree 318 00:15:45,946 --> 00:15:47,645 Roots or exposed tree roots. 319 00:15:47,747 --> 00:15:52,450 So this is sort of ideal and impenetrable habitat. 320 00:15:52,552 --> 00:15:54,519 Let's hope they're not in these blackberries. 321 00:15:55,989 --> 00:15:58,022 Jumping around on the ground in a place where there might be 322 00:15:58,124 --> 00:15:59,958 One of these nests and it's hard to run away 323 00:16:00,060 --> 00:16:02,527 Is probably the stupidest way to look for this insect. 324 00:16:02,629 --> 00:16:03,795 It seems insurmountable right now. 325 00:16:03,897 --> 00:16:04,762 I'm not really-- 326 00:16:06,366 --> 00:16:08,132 I'm not feeling that happy. 327 00:16:09,536 --> 00:16:10,368 God, I talk a lot. 328 00:16:22,849 --> 00:16:26,150 Last year, giant hornet come to your country. 329 00:16:28,521 --> 00:16:29,620 [speaking japanese] 330 00:16:29,723 --> 00:16:32,223 Interpreter: Exterminating asian giant hornet 331 00:16:32,325 --> 00:16:33,725 Is a difficult job. 332 00:16:33,827 --> 00:16:36,894 If your protective wear isn't thick enough, 333 00:16:36,997 --> 00:16:39,297 They can penetrate it and sting you. 334 00:16:41,267 --> 00:16:45,970 Giant hornet have this stinger that can also spray venom. 335 00:16:46,072 --> 00:16:49,507 Once, I heard from a hornet exterminator 336 00:16:49,609 --> 00:16:52,944 The venom went through that gap in his goggles 337 00:16:53,046 --> 00:16:55,480 And got into his eyes. 338 00:16:55,582 --> 00:16:58,883 He said the pain was so incredible that he couldn't 339 00:16:58,985 --> 00:17:01,285 Open his eyes for a while. 340 00:17:01,388 --> 00:17:04,288 And if he'd been a little less lucky, 341 00:17:04,391 --> 00:17:06,691 He could have lost his vision completely. 342 00:17:09,195 --> 00:17:10,561 [speaking japanese] 343 00:17:10,663 --> 00:17:12,697 So they don't just attack by stinging. 344 00:17:14,034 --> 00:17:16,367 They can also attack by spraying venom. 345 00:17:18,872 --> 00:17:21,272 Narrator: But how did the asian giant hornet 346 00:17:21,374 --> 00:17:24,542 Get from asia to north america? 347 00:17:24,644 --> 00:17:26,911 The most popular theory begins with a fertilized 348 00:17:27,013 --> 00:17:29,981 Queen looking for a cozy spot to curl up for the winter. 349 00:17:31,684 --> 00:17:34,819 She finds her way into a stack of nestled terracotta 350 00:17:34,921 --> 00:17:39,090 Pots intended for export to north america. 351 00:17:39,192 --> 00:17:41,759 Or perhaps she boards the ship herself, 352 00:17:41,861 --> 00:17:45,630 One of many bringing lumber from the pacific northwest. 353 00:17:45,732 --> 00:17:47,765 Once emptied, the cargo holds are 354 00:17:47,867 --> 00:17:50,868 Littered with bark, twigs, and sawdust, 355 00:17:50,970 --> 00:17:53,171 Perfect for digging a nest. 356 00:17:53,273 --> 00:17:57,308 After an 8,000-mile trip, the ship arrives on the northwest 357 00:17:57,410 --> 00:17:59,744 Coast of north america. 358 00:17:59,846 --> 00:18:01,779 The queen emerges into the sunlight 359 00:18:01,881 --> 00:18:05,049 And flies into the lush forest, ready to start her colony. 360 00:18:06,753 --> 00:18:09,887 Or maybe humans played a more direct role. 361 00:18:09,989 --> 00:18:13,024 Vespa mandarinia is considered a delicacy in certain parts 362 00:18:13,126 --> 00:18:18,062 Of asia, sometimes grilled on skewers 363 00:18:18,164 --> 00:18:20,698 Or steeped in a korean liquor called soju. 364 00:18:23,603 --> 00:18:25,703 Perhaps some unscrupulous entrepreneur 365 00:18:25,805 --> 00:18:28,239 Managed to smuggle a murder hornet starter pack 366 00:18:28,341 --> 00:18:30,775 Through customs, hoping to charge 367 00:18:30,877 --> 00:18:33,811 Premium prices to vancouver's most adventurous diners. 368 00:18:35,448 --> 00:18:37,648 Unfortunately, it was the hornets who decided 369 00:18:37,750 --> 00:18:38,950 To go out for a bite instead. 370 00:18:42,789 --> 00:18:44,155 [gasp] 371 00:18:44,257 --> 00:18:47,959 Or maybe none of this was accidental. 372 00:18:48,061 --> 00:18:51,629 Some conspiracy theorists point out that the murder hornet just 373 00:18:51,731 --> 00:18:53,898 Happened to show up in north america 374 00:18:54,000 --> 00:18:58,469 At a time in which the us is locked in bitter trade wars. 375 00:18:58,571 --> 00:19:01,939 Is it possible that foreign agents deliberately recruited 376 00:19:02,041 --> 00:19:05,743 Vespa mandarinia as a bioweapon and sent them into enemy 377 00:19:05,845 --> 00:19:08,679 Territory to disrupt american agriculture 378 00:19:08,781 --> 00:19:10,448 By massacring honeybees? 379 00:19:12,152 --> 00:19:14,118 Yeah, that's a bit far-fetched. 380 00:19:14,220 --> 00:19:17,088 But in a world as interconnected as ours, 381 00:19:17,190 --> 00:19:19,423 There are so many ways the asian giant 382 00:19:19,526 --> 00:19:21,859 Hornet could have arrived that it practically 383 00:19:21,961 --> 00:19:23,494 Doesn't matter anymore. 384 00:19:23,596 --> 00:19:27,398 It's here now, and there's not much time left to stop it. 385 00:19:29,969 --> 00:19:34,205 The asian giant hornet has evolved in asia. 386 00:19:34,307 --> 00:19:37,408 The honeybees in that part of the world 387 00:19:37,510 --> 00:19:41,546 Actually have a way to protect themselves. 388 00:19:41,648 --> 00:19:47,852 Our honeybees do not have any means of protecting themselves. 389 00:19:47,954 --> 00:19:50,121 [speaking japanese] 390 00:19:50,223 --> 00:19:54,158 Interpreter: When a giant hornet attacks a japanese honeybee, 391 00:19:54,260 --> 00:19:56,561 The bees group together and smother 392 00:19:56,663 --> 00:19:58,696 The hornet in a bee ball. 393 00:19:58,798 --> 00:20:01,232 Using vibrations from their wings, 394 00:20:01,334 --> 00:20:03,901 And their muscles, and their abdomens, 395 00:20:04,003 --> 00:20:05,636 The bees generate heat. 396 00:20:05,738 --> 00:20:10,107 And together, they raise the temperature to 130 degrees 397 00:20:10,210 --> 00:20:13,511 To kill the hornet by cooking it alive. 398 00:20:13,613 --> 00:20:17,114 The only reason this species is in north america 399 00:20:17,217 --> 00:20:18,883 Is because of humans. 400 00:20:18,985 --> 00:20:22,553 As human beings and globalization moved a species 401 00:20:22,655 --> 00:20:25,856 That shouldn't be in north america to north america, 402 00:20:25,959 --> 00:20:29,627 That's just one more horrific impact that we 403 00:20:29,729 --> 00:20:32,830 Can have to our food supply. 404 00:20:32,932 --> 00:20:35,600 So since we created this problem, 405 00:20:35,702 --> 00:20:38,236 We, as humans, should take ownership of trying 406 00:20:38,338 --> 00:20:40,271 To correct this problem. 407 00:20:40,373 --> 00:20:43,708 I don't have the science background, but a lot of times, 408 00:20:43,810 --> 00:20:45,443 People don't like government agencies 409 00:20:45,545 --> 00:20:46,877 To come on their property. 410 00:20:46,980 --> 00:20:48,980 So that's a little sensitive piece. 411 00:20:49,082 --> 00:20:53,451 And so there's no better way to learn than to do it myself. 412 00:20:53,553 --> 00:20:54,952 This is a bottle trap. 413 00:20:55,054 --> 00:20:57,221 The hornet comes in, takes a drink, 414 00:20:57,323 --> 00:21:00,157 And gets caught in the liquid and drowns. 415 00:21:00,226 --> 00:21:01,892 We have to use the rice wine to help 416 00:21:01,995 --> 00:21:05,129 Keep honeybees and other of the good pollinators out of this. 417 00:21:05,231 --> 00:21:07,064 Because honeybees would be attracted to the sugar in here, 418 00:21:07,166 --> 00:21:08,899 And they can get trapped in here and die too. 419 00:21:09,002 --> 00:21:11,435 And the murder hornets, they actually like the taste of rice 420 00:21:11,537 --> 00:21:13,871 Wine and rancid type of tastes. 421 00:21:13,973 --> 00:21:16,307 They're meat eaters, and they don't mind eating nasty things. 422 00:21:17,944 --> 00:21:21,379 This design was given to us from the people in asia. 423 00:21:21,481 --> 00:21:22,747 It's interesting, a couple of the traps 424 00:21:22,849 --> 00:21:24,482 They found the murder hornet still alive, 425 00:21:24,584 --> 00:21:26,217 Swimming around in there. 426 00:21:26,319 --> 00:21:27,451 This particular orange juice actually 427 00:21:27,553 --> 00:21:29,053 Came from the department of agriculture. 428 00:21:29,155 --> 00:21:30,254 Ruthie sweet talked them. 429 00:21:30,356 --> 00:21:31,822 She said, hey, you know, our bee club's 430 00:21:31,924 --> 00:21:33,591 Trying to do everything we can to help with this. 431 00:21:33,693 --> 00:21:35,493 Do you think you could help us with some bottles 432 00:21:35,595 --> 00:21:36,994 And with some orange juice? 433 00:21:37,096 --> 00:21:39,096 You need something done, get some girl to sweet talk 434 00:21:39,198 --> 00:21:40,631 Whoever you need to. 435 00:21:40,733 --> 00:21:42,800 Because this juice does get expensive, changing 436 00:21:42,902 --> 00:21:44,568 These traps every single week. 437 00:21:44,671 --> 00:21:46,637 It seems like the department of agriculture 438 00:21:46,739 --> 00:21:48,606 Is very concerned about this problem. 439 00:21:48,708 --> 00:21:51,442 Of course, they get paid for it, and so that kind of makes 440 00:21:51,544 --> 00:21:52,777 It a little bit different, whenever it's 441 00:21:52,879 --> 00:21:54,078 Your job that you have to do. 442 00:21:54,180 --> 00:21:55,513 But thank god it has their attention, 443 00:21:55,615 --> 00:21:57,281 And it's not just a bunch of us ragtag 444 00:21:57,383 --> 00:21:59,417 Beekeepers that are trying to figure out what to do. 445 00:21:59,519 --> 00:22:01,319 Even if we catch a couple murder hornets 446 00:22:01,421 --> 00:22:03,387 In this particular trap, that doesn't really 447 00:22:03,489 --> 00:22:06,057 Help us in the long run because it's only taking 448 00:22:06,159 --> 00:22:07,858 A couple out of a big nest. 449 00:22:07,960 --> 00:22:10,628 But the idea is if you hang these up in enough places, 450 00:22:10,730 --> 00:22:12,296 Then we're going to know where they're active. 451 00:22:12,398 --> 00:22:15,299 So we know that there's going to be a nest nearby. 452 00:22:15,401 --> 00:22:17,101 I see potential. 453 00:22:17,203 --> 00:22:18,302 You never know which one of these 454 00:22:18,404 --> 00:22:20,104 Is going to be the one to catch the murder hornet. 455 00:22:26,446 --> 00:22:27,411 Interviewer (on radio): As if the pandemic 456 00:22:27,513 --> 00:22:29,180 And the economic meltdown aren't bad enough, 457 00:22:29,282 --> 00:22:32,817 Now murder hornets have arrived in the pacific northwest. 458 00:22:32,919 --> 00:22:34,518 Ruthie danielson is a beekeeper. 459 00:22:34,620 --> 00:22:35,786 Thanks for joining us today. 460 00:22:35,888 --> 00:22:37,388 Ruthie danielsen (on radio): Oh, you're welcome. 461 00:22:37,490 --> 00:22:39,323 Interviewer (on radio): What do you think the chances are? 462 00:22:39,425 --> 00:22:41,192 Can this invasion be stopped? 463 00:22:41,294 --> 00:22:43,394 Ruthie danielsen (on radio): Well, I'm hopeful. 464 00:22:43,496 --> 00:22:44,995 What you do is you get involved, and you 465 00:22:45,098 --> 00:22:46,130 Try to do something about it. 466 00:22:48,401 --> 00:22:50,401 Ruthie danielsen: This is a huge area. 467 00:22:50,503 --> 00:22:52,103 It's all of whatcom county. 468 00:22:52,205 --> 00:22:54,905 Hundreds if not thousands of square acres. 469 00:22:56,609 --> 00:22:58,576 The more we get the word out, the more people 470 00:22:58,678 --> 00:23:01,345 That are looking, the better chance we have. 471 00:23:01,447 --> 00:23:03,681 That's an asian giant hornet queen. 472 00:23:03,783 --> 00:23:04,849 Oh, wow. 473 00:23:04,951 --> 00:23:07,418 So if you do see one, call. 474 00:23:07,520 --> 00:23:10,821 Human intervention might have the biggest impact on us being 475 00:23:10,923 --> 00:23:12,523 Able to eradicate this species. 476 00:23:15,128 --> 00:23:19,397 We've got over 1,220 individual traps 477 00:23:19,499 --> 00:23:21,999 Set up by the general public. 478 00:23:22,101 --> 00:23:26,337 Well, I don't see anything here as far as a hornet. 479 00:23:26,439 --> 00:23:27,872 They call us "citizen scientists." 480 00:23:27,974 --> 00:23:29,473 I don't feel much like a scientist. 481 00:23:29,575 --> 00:23:31,409 I just am a person that cares. 482 00:23:31,511 --> 00:23:34,845 And if we don't do it, who will? 483 00:23:34,947 --> 00:23:39,650 I've had some really tall, long, skinny, green creatures 484 00:23:39,752 --> 00:23:43,521 And things that I've never seen before, creatures of the night. 485 00:23:43,623 --> 00:23:46,457 This is an entomologist's dream, right? 486 00:23:46,559 --> 00:23:52,730 I've been doing nonconventional female things my whole life. 487 00:23:52,832 --> 00:23:56,467 And there was a job to drive a suck 488 00:23:56,569 --> 00:24:02,039 Truck, which is a diesel-powered vacuum cleaner, right? 489 00:24:02,141 --> 00:24:05,376 Really, really physically demanding. 490 00:24:05,478 --> 00:24:08,279 And now we're talking in the '70s. 491 00:24:08,381 --> 00:24:12,183 There were very few women in industry. 492 00:24:12,285 --> 00:24:16,120 They looked at me and said, let's see how she can fail. 493 00:24:16,222 --> 00:24:20,758 So they sent me by myself to this plant 494 00:24:20,860 --> 00:24:23,828 To suck up human shit. 495 00:24:23,930 --> 00:24:25,729 And I went in there, and I cleaned 496 00:24:25,832 --> 00:24:27,097 Up all that human [bleep]. 497 00:24:27,200 --> 00:24:31,368 And I did it in three hours less than they bid the job for. 498 00:24:31,471 --> 00:24:33,270 So I started doing industrial cleanup 499 00:24:33,372 --> 00:24:35,072 Throughout the northwest. 500 00:24:35,174 --> 00:24:39,610 They didn't necessarily want females doing what I was doing. 501 00:24:39,712 --> 00:24:41,512 You'd get a lot of harassment. 502 00:24:41,614 --> 00:24:44,748 I actually bought a black hills gold wedding ring 503 00:24:44,851 --> 00:24:46,450 So I'd quit getting hit on. 504 00:24:46,552 --> 00:24:48,419 You just have to have thick skin. 505 00:24:48,521 --> 00:24:52,323 So you just be resilient, you put your head forward, 506 00:24:52,425 --> 00:24:54,758 And you do the best job you can. 507 00:24:54,861 --> 00:24:58,329 The reason people are trapping now and why it's important 508 00:24:58,431 --> 00:25:04,134 Now is to be able to see if we can find the nest before they 509 00:25:04,237 --> 00:25:06,337 Start to make new queens. 510 00:25:06,439 --> 00:25:08,372 Now is when we have the chance. 511 00:25:08,474 --> 00:25:12,409 So every day, people collect samples 512 00:25:12,512 --> 00:25:14,879 With a number and the date it was collected, 513 00:25:14,981 --> 00:25:17,147 And bring it down here and put it 514 00:25:17,250 --> 00:25:19,950 In the cooler for washington state department of agriculture 515 00:25:20,052 --> 00:25:20,918 To collect. 516 00:25:25,992 --> 00:25:27,558 Welcome to the natural resources 517 00:25:27,660 --> 00:25:29,059 Building entomology laboratory. 518 00:25:29,161 --> 00:25:31,295 This is where we do all of our trap processing 519 00:25:31,397 --> 00:25:33,297 And identification services. 520 00:25:33,399 --> 00:25:35,833 This is one of our ace entomologists. 521 00:25:35,935 --> 00:25:38,369 Early on, she requested to be on team hornet 522 00:25:38,471 --> 00:25:40,437 To get a break from dissecting moth genitalia, which 523 00:25:40,540 --> 00:25:41,739 Is what we do most of the time. 524 00:25:41,841 --> 00:25:42,940 It's not so bad. 525 00:25:43,042 --> 00:25:45,576 Sometimes, we get big old slugs. 526 00:25:47,647 --> 00:25:49,046 I don't mind the smell so much, but I 527 00:25:49,148 --> 00:25:52,783 Probably won't willingly drink orange juice for a long time. 528 00:25:52,885 --> 00:25:55,352 These are massive amounts of traps that are being 529 00:25:55,454 --> 00:25:58,022 Sent by private residents. 530 00:25:58,124 --> 00:26:05,162 This is a envelope containing a trap that was put up 531 00:26:05,264 --> 00:26:08,799 By a citizen science collaborator, someone 532 00:26:08,901 --> 00:26:11,402 Named elsa from bellingham. 533 00:26:11,504 --> 00:26:15,906 We have processed, so far, 3,794 traps from the public, 534 00:26:16,008 --> 00:26:19,543 4,359 traps from wsda. 535 00:26:19,645 --> 00:26:21,512 And these guys have identified more than 88,000 536 00:26:21,614 --> 00:26:23,447 Individual specimens so far. 537 00:26:23,549 --> 00:26:28,152 You read about climate change, acid rain, species extinctions. 538 00:26:28,254 --> 00:26:30,387 And there's nothing you can do about it unless you're 539 00:26:30,489 --> 00:26:32,623 Actively working in the field. 540 00:26:32,725 --> 00:26:34,058 But not in this case. 541 00:26:34,160 --> 00:26:36,126 I think there's lots of opportunity 542 00:26:36,228 --> 00:26:39,063 To get people involved. 543 00:26:39,165 --> 00:26:40,965 It's not just beekeepers, it's everybody, right? 544 00:26:41,067 --> 00:26:42,333 Everybody is concerned about the hornet 545 00:26:42,435 --> 00:26:45,035 Because we all right now have a bee in our bonnet about bees. 546 00:26:45,137 --> 00:26:47,304 We have happy movies about bees. 547 00:26:47,406 --> 00:26:48,505 They sell us cereal. 548 00:26:48,608 --> 00:26:49,607 We eat honey. 549 00:26:49,709 --> 00:26:51,742 So it's easy for the public to care 550 00:26:51,844 --> 00:26:54,845 And invest time into something that keeps bees alive. 551 00:26:54,947 --> 00:26:57,748 If this was a predator of, say, katydids, 552 00:26:57,850 --> 00:26:59,683 Nobody would give a damn. 553 00:26:59,752 --> 00:27:01,785 And yet, you can't fault any of us for that. 554 00:27:01,887 --> 00:27:04,388 It's fine that we pick and choose the insect 555 00:27:04,490 --> 00:27:05,956 Battles that we care about. 556 00:27:06,058 --> 00:27:08,626 And I'm glad people are caring about this one. 557 00:27:08,728 --> 00:27:10,427 We have invasive insects pretty 558 00:27:10,529 --> 00:27:12,496 Much everywhere in the world. 559 00:27:12,598 --> 00:27:14,732 But this one struck a lot of fear 560 00:27:14,834 --> 00:27:17,034 In the heart of people at a time when they were already afraid. 561 00:27:21,507 --> 00:27:22,906 Ted mcfall: This world would not be a good place 562 00:27:23,009 --> 00:27:23,841 Without these fellas. 563 00:27:25,978 --> 00:27:28,612 God created bees at the same time that he created plants. 564 00:27:28,714 --> 00:27:32,149 And his plan was to create these creatures that 565 00:27:32,251 --> 00:27:35,319 Can provide food for the earth. 566 00:27:35,421 --> 00:27:37,488 Jesus talked about honey. 567 00:27:37,590 --> 00:27:41,358 The ancient israelites were wandering around the desert, 568 00:27:41,460 --> 00:27:44,328 Looking for the land of milk and honey. 569 00:27:44,430 --> 00:27:46,664 They found honey in the tomb of king tut. 570 00:27:48,534 --> 00:27:52,636 Having the ability to raise bees and harvest honey 571 00:27:52,738 --> 00:27:55,706 Allows us to make decisions that are 572 00:27:55,808 --> 00:28:00,010 Otherwise extremely difficult. Good thing kids don't know. 573 00:28:00,112 --> 00:28:01,945 They don't know finances. 574 00:28:02,048 --> 00:28:04,214 Things are real tight already as it is. 575 00:28:04,316 --> 00:28:07,551 So knowing that there is honey money, in my mind, 576 00:28:07,653 --> 00:28:11,922 I see, oh, ok, we can afford piano lessons for our kids. 577 00:28:12,024 --> 00:28:14,158 Whenever I see some of the wax spill, 578 00:28:14,260 --> 00:28:15,793 I see that as a few quarters. 579 00:28:15,895 --> 00:28:18,062 I'm like, there's a quarter, and there's a quarter. 580 00:28:18,164 --> 00:28:20,698 I was just thinking about them like it's precious money. 581 00:28:20,800 --> 00:28:22,399 Yeah, it is. 582 00:28:22,501 --> 00:28:24,001 It's liquid gold. 583 00:28:24,103 --> 00:28:24,868 Love the bees. 584 00:28:24,970 --> 00:28:25,969 Got to-- 585 00:28:26,072 --> 00:28:27,004 Keep them going. 586 00:28:27,106 --> 00:28:28,072 Got to keep them going, that's right. 587 00:28:28,174 --> 00:28:29,039 Keep us going. 588 00:28:30,676 --> 00:28:33,410 The amount of danger that our bees are in 589 00:28:33,512 --> 00:28:37,081 And the potential havoc that this animal can bring 590 00:28:37,183 --> 00:28:40,417 To our bee yard is devastating. 591 00:28:40,519 --> 00:28:44,154 Many things that we are unfamiliar with 592 00:28:44,256 --> 00:28:46,957 Can make us uncomfortable because we don't know how 593 00:28:47,059 --> 00:28:50,561 To live around them, then that could be something 594 00:28:50,663 --> 00:28:54,965 That we are unwilling to learn. 595 00:28:55,067 --> 00:28:58,502 Especially with our line of beekeeping, 596 00:28:58,604 --> 00:29:02,039 Why would we want to live side by side? 597 00:29:04,110 --> 00:29:05,342 And so even though god may have 598 00:29:05,444 --> 00:29:07,578 Allowed this terrible creature to show up literally 599 00:29:07,680 --> 00:29:09,780 On our doorstep and start slaughtering bees, 600 00:29:09,882 --> 00:29:11,348 A lot of times, there's a bigger picture, 601 00:29:11,450 --> 00:29:12,850 And there's going to be a greater good that's 602 00:29:12,952 --> 00:29:14,017 Going to come out of that. 603 00:29:14,120 --> 00:29:15,953 And so that's why I try to cooperate 604 00:29:16,055 --> 00:29:19,123 As best I can with the department of agriculture. 605 00:29:19,225 --> 00:29:21,725 I know the head of the trapper program is chris looney. 606 00:29:23,229 --> 00:29:24,695 I'm not quite sure about that guy. 607 00:29:24,797 --> 00:29:28,265 He seems a little laid back for my taste. 608 00:29:28,367 --> 00:29:30,000 So hopefully, we're all following 609 00:29:30,102 --> 00:29:32,035 In what god wills of this whole situation, 610 00:29:32,138 --> 00:29:34,471 And we're trying to make right what has gone wrong. 611 00:29:42,148 --> 00:29:46,517 And-- right. 612 00:29:46,619 --> 00:29:47,451 That is done. 613 00:29:51,590 --> 00:29:54,792 There is some brand new underwear right there. 614 00:29:54,894 --> 00:29:55,826 That has not even been used. 615 00:30:00,833 --> 00:30:02,733 There are a ton of fruit flies. 616 00:30:02,835 --> 00:30:05,803 There's some sort of houseflies, a moth, 617 00:30:05,871 --> 00:30:08,238 Probably noctua pronuba, and then 618 00:30:08,340 --> 00:30:10,207 A handful of yellowjackets. 619 00:30:10,309 --> 00:30:11,742 You manufacture that optimism. 620 00:30:11,844 --> 00:30:14,077 Every single day, like, this could be the day 621 00:30:14,180 --> 00:30:15,245 That there's one in the trap. 622 00:30:15,347 --> 00:30:17,714 And every day, I believe that. 623 00:30:17,817 --> 00:30:20,184 And every day, I'm disappointed. 624 00:30:20,286 --> 00:30:22,119 But I'll never have that excitement, 625 00:30:22,254 --> 00:30:24,221 I'll never get to find a hornet in the trap 626 00:30:24,323 --> 00:30:26,990 If I don't actually get all the traps and check the traps, so. 627 00:30:27,092 --> 00:30:27,958 Hm. 628 00:30:30,729 --> 00:30:31,762 Somebody took one of my traps. 629 00:30:38,437 --> 00:30:39,570 Little frustrating. 630 00:30:41,807 --> 00:30:45,008 I really want to get live hornets so that we can get 631 00:30:45,110 --> 00:30:48,545 Our usda colleagues to work on what the best 632 00:30:48,647 --> 00:30:50,547 Detractant could possibly be. 633 00:30:50,649 --> 00:30:52,749 Some of the other motivations for coming up with better lures 634 00:30:52,852 --> 00:30:54,651 Than orange juice and rice wine is that it's 635 00:30:54,753 --> 00:30:55,886 Really gross and sticky. 636 00:30:55,988 --> 00:30:57,888 It'd be great to have something that is less nasty 637 00:30:57,990 --> 00:30:58,822 And doesn't spill. 638 00:31:00,526 --> 00:31:01,959 That's one of my motivations, anyway. 639 00:31:02,061 --> 00:31:05,963 Full of mostly fruit flies. 640 00:31:06,065 --> 00:31:08,098 Drosophila is the genus. 641 00:31:08,200 --> 00:31:09,867 A couple of sad moths. 642 00:31:09,969 --> 00:31:12,169 More fruit flies, kind of like the last one. 643 00:31:12,271 --> 00:31:15,906 Yeah, this is a sticky trap, got a glue surface on here. 644 00:31:17,376 --> 00:31:19,843 And then it actually has the giant hornet alarm pheromone, 645 00:31:19,945 --> 00:31:21,578 Which seems like a risky thing to put on a trap, 646 00:31:21,680 --> 00:31:23,146 But whatever, we're trying everything. 647 00:31:23,249 --> 00:31:25,782 Being a scientist is the human being's natural state. 648 00:31:25,885 --> 00:31:27,818 We are always taking in information, 649 00:31:27,920 --> 00:31:29,453 Processing it, and doing our very, very best 650 00:31:29,555 --> 00:31:32,289 To make repeatable decisions about our world 651 00:31:32,391 --> 00:31:33,991 Based on the information we take in. 652 00:31:34,093 --> 00:31:37,394 So everybody's kind of a citizen scientist all the time. 653 00:31:37,496 --> 00:31:39,529 But all the citizen scientists that 654 00:31:39,632 --> 00:31:41,465 Have taken this on have really, I think, 655 00:31:41,567 --> 00:31:43,000 Changed the game for us. 656 00:31:43,102 --> 00:31:45,736 All of the people that live here that have stepped up and placed 657 00:31:45,838 --> 00:31:47,871 These traps out have essentially quadrupled 658 00:31:47,973 --> 00:31:49,973 Our ability to look on the landscape 659 00:31:50,075 --> 00:31:51,341 For this invasive species. 660 00:31:51,443 --> 00:31:53,210 It's just huge. 661 00:31:53,312 --> 00:31:54,244 It makes me a little teary. 662 00:32:13,732 --> 00:32:15,065 We've got a whole bunch of zeros. 663 00:32:15,167 --> 00:32:17,567 And it leaves you wondering, do we have a whole bunch of zeros 664 00:32:17,670 --> 00:32:18,936 Because there are no hornets here 665 00:32:19,038 --> 00:32:20,971 To be attracted to the traps, or because none of the traps 666 00:32:21,040 --> 00:32:22,572 Are attractive? 667 00:32:22,675 --> 00:32:25,475 I think we would learn so much if we could just find one nest. 668 00:32:25,577 --> 00:32:26,843 That's why I keep not going home. 669 00:32:26,946 --> 00:32:28,979 I want to stay up here until I find a nest or somebody else 670 00:32:29,081 --> 00:32:29,813 Does. 671 00:32:29,915 --> 00:32:31,815 [whistling] 672 00:32:35,387 --> 00:32:37,087 Five more sites to go. 673 00:32:37,189 --> 00:32:38,255 That right? 674 00:32:38,357 --> 00:32:39,222 Six more sites to go. 675 00:32:57,843 --> 00:32:59,176 Good afternoon. My name is chris looney. 676 00:32:59,278 --> 00:33:01,178 I work for the washington state department of agriculture. 677 00:33:01,280 --> 00:33:02,379 I was calling to talk to somebody 678 00:33:02,481 --> 00:33:04,581 About accessing property up near blaine 679 00:33:04,683 --> 00:33:06,216 To look for the asian giant hornets. 680 00:33:08,053 --> 00:33:09,753 I've been siding the greenhouse, 681 00:33:09,855 --> 00:33:12,189 And I started seeing bugs, big bugs, 682 00:33:12,291 --> 00:33:13,724 That weren't familiar at all. 683 00:33:15,527 --> 00:33:17,260 I had come in the shop to grab a tool, 684 00:33:17,363 --> 00:33:19,930 And I heard the humming sound that I 685 00:33:20,032 --> 00:33:21,365 Realized was the murder hornet. 686 00:33:21,467 --> 00:33:23,600 And at first, I couldn't tell where it was. 687 00:33:23,702 --> 00:33:27,204 But then I realized it was up by the open window upstairs. 688 00:33:27,306 --> 00:33:30,974 So this is where I first saw the hornet up close. 689 00:33:31,076 --> 00:33:35,345 He was coming in here, and he was landing on the wasp nests. 690 00:33:35,447 --> 00:33:37,047 So I went, and I got a can of wasp spray. 691 00:33:37,149 --> 00:33:39,883 I held my breath, and I shot, and I 692 00:33:39,985 --> 00:33:41,818 Basically emptied half a can. 693 00:33:41,920 --> 00:33:43,653 Oh, yeah, that does sound like a good spot. 694 00:33:43,756 --> 00:33:45,322 Water and conifers, all right. 695 00:33:45,424 --> 00:33:47,858 He did observe them flying off in a straight bee line 696 00:33:47,960 --> 00:33:50,627 To the southwest, which is great news. 697 00:33:50,729 --> 00:33:52,129 Because as far as we know, that's 698 00:33:52,231 --> 00:33:54,798 What they do when they're returning to their nest. 699 00:33:54,900 --> 00:33:56,666 And he sent me some pictures and said, here it is. 700 00:33:56,769 --> 00:33:58,668 They're walking around, looking at stuff. 701 00:33:58,771 --> 00:33:59,870 That's fantastic then. 702 00:34:01,540 --> 00:34:04,441 Chris pulled in our driveway, and we stood for about an hour, 703 00:34:04,543 --> 00:34:09,246 Just watching and listening for hornets. 704 00:34:09,348 --> 00:34:10,213 Didn't really see any. 705 00:34:10,315 --> 00:34:11,481 And right when I was about to leave-- 706 00:34:11,583 --> 00:34:14,684 We saw one fly over the ridge of the house 707 00:34:14,787 --> 00:34:17,387 Down over the roof and start buzzing 708 00:34:17,489 --> 00:34:20,390 Around the eaves of the house. 709 00:34:20,492 --> 00:34:24,227 And chris sauntered over there with his basically big 710 00:34:24,329 --> 00:34:25,495 Butterfly net. 711 00:34:25,597 --> 00:34:27,697 And when he was in the right position, 712 00:34:27,800 --> 00:34:30,767 He arced it over, grabbed it, flipped 713 00:34:30,869 --> 00:34:32,335 The net around to lock it in. 714 00:34:32,438 --> 00:34:33,737 And we were able to capture it. 715 00:34:33,839 --> 00:34:35,272 And that's what's in this cooler. 716 00:34:49,121 --> 00:34:51,288 This is what we call the robo fly. 717 00:34:51,390 --> 00:34:54,391 What we're trying to do is build this little robot 718 00:34:54,493 --> 00:34:57,461 That's about the size of an actual insect. 719 00:34:57,563 --> 00:34:59,896 That was my first introduction to building 720 00:34:59,998 --> 00:35:03,767 These sorts of small things that are at insect scale. 721 00:35:03,869 --> 00:35:06,503 And at some point, I realized that those same small things 722 00:35:06,605 --> 00:35:08,605 That we'd been building to put on little robots 723 00:35:08,707 --> 00:35:10,340 Could also be attached to live insects. 724 00:35:12,111 --> 00:35:15,011 I found out about this issue with the asian giant hornets, 725 00:35:15,114 --> 00:35:18,281 So I reached out to the department of agriculture. 726 00:35:18,383 --> 00:35:22,319 And it turns out that the sorts of radio technologies that we 727 00:35:22,421 --> 00:35:24,321 Had been building in the lab were pretty 728 00:35:24,423 --> 00:35:26,590 Well-aligned with what they needed to do-- something 729 00:35:26,692 --> 00:35:29,993 Small enough to be able to attach to a live hornet 730 00:35:30,095 --> 00:35:32,963 That we could then use to try to follow it back to its nest. 731 00:35:37,436 --> 00:35:38,268 Oh. 732 00:35:41,240 --> 00:35:42,105 There she is. 733 00:35:43,475 --> 00:35:45,342 I do have it on ice to keep it calm. 734 00:35:45,444 --> 00:35:46,843 And I'll try to do it fast so if she 735 00:35:46,945 --> 00:35:48,512 Does wake up, doesn't fly away. 736 00:35:50,182 --> 00:35:52,015 You can see its abdomen is moving in and out. 737 00:35:53,752 --> 00:35:55,051 So insects don't have lungs, right. 738 00:35:55,154 --> 00:35:56,887 They just have this network of tubes that feeds 739 00:35:56,989 --> 00:35:58,622 Oxygen to batches of cells. 740 00:35:58,724 --> 00:36:00,056 And when they pump their abdomen like that, 741 00:36:00,159 --> 00:36:02,092 Sometimes, they're helping force air through. 742 00:36:10,936 --> 00:36:12,536 I don't know if this wasp is going to make it, 743 00:36:12,638 --> 00:36:15,338 But it's the best lead we've had so far. 744 00:36:15,440 --> 00:36:18,341 And it came from an actual human being just seeing one 745 00:36:18,443 --> 00:36:20,243 And calling us, not our bad mimosas 746 00:36:20,345 --> 00:36:22,212 That we hang up all over the landscape. 747 00:36:22,314 --> 00:36:23,280 Oh, look at those wings. 748 00:36:23,382 --> 00:36:25,081 All right, I'm going to close this up 749 00:36:25,184 --> 00:36:26,616 Because I don't want it to fly away. 750 00:36:28,754 --> 00:36:30,120 Fingers crossed. 751 00:36:30,222 --> 00:36:33,423 This has been like chasing ghosts the whole time, 752 00:36:33,525 --> 00:36:35,025 And finally, I got a ghost in the net. 753 00:36:38,397 --> 00:36:40,363 This is almost a win. 754 00:36:43,936 --> 00:36:46,136 Tomorrow morning, we're hopefully 755 00:36:46,238 --> 00:36:49,439 Going to find a happy, healthy hornet that wants to go home. 756 00:36:49,541 --> 00:36:52,342 We will glue a bluetooth tag to it, 757 00:36:52,444 --> 00:36:55,011 And work with our buddy vikram, and try 758 00:36:55,113 --> 00:36:56,379 To follow it through the woods. 759 00:37:03,722 --> 00:37:06,156 So this is the receiver that we're using. 760 00:37:06,258 --> 00:37:08,425 We have this large directional antenna 761 00:37:08,527 --> 00:37:11,161 That's receiving the broadcast coming from the little tag 762 00:37:11,263 --> 00:37:12,429 That we're going to put on the hornet. 763 00:37:12,531 --> 00:37:14,164 So we've got three of the little trackers. 764 00:37:14,266 --> 00:37:16,366 And I just have this charger here 765 00:37:16,468 --> 00:37:18,201 To make sure the batteries stayed at 100% 766 00:37:18,303 --> 00:37:19,736 Until we need them. 767 00:37:19,838 --> 00:37:20,670 All right. 768 00:37:22,608 --> 00:37:24,174 Do you guys have something to apply glue with? 769 00:37:27,713 --> 00:37:30,213 The mission this morning is to see if all of this works. 770 00:37:30,315 --> 00:37:31,748 We're going to try tagging a hornet. 771 00:37:31,850 --> 00:37:33,250 We're going to hope the hornet's still alive. 772 00:37:33,352 --> 00:37:34,951 We're going to hope the hornet does what hornets do, 773 00:37:35,020 --> 00:37:36,086 Which is to fly home. 774 00:37:36,188 --> 00:37:38,088 And we're going to hope that the phones do what 775 00:37:38,190 --> 00:37:39,623 Vikram wants them to do, which is to help 776 00:37:39,725 --> 00:37:41,524 Us find where that home is. 777 00:37:41,627 --> 00:37:42,859 That's really it. 778 00:37:42,961 --> 00:37:46,296 If we get all of that done today, I can probably retire. 779 00:37:46,398 --> 00:37:48,098 We'll have had a major success. 780 00:37:49,668 --> 00:37:50,734 It is super active. 781 00:37:53,405 --> 00:37:54,671 I'm going to put her right on the ice 782 00:37:54,773 --> 00:37:56,506 And let her be real cold for a minute. 783 00:37:56,608 --> 00:37:57,641 So what are we doing? 784 00:37:57,743 --> 00:37:59,142 So I've got super glue here. 785 00:37:59,244 --> 00:38:01,244 You can put a drop then and put it on its back. 786 00:38:01,346 --> 00:38:02,379 All right. 787 00:38:02,481 --> 00:38:05,915 The other thing is I found on some insects 788 00:38:06,018 --> 00:38:09,319 That scoring the area where you're going to attach it, 789 00:38:09,421 --> 00:38:10,553 That helps the glue stick better. 790 00:38:10,656 --> 00:38:11,388 Sure. 791 00:38:11,490 --> 00:38:12,689 So you're going to do this? 792 00:38:12,791 --> 00:38:14,324 I don't know if I'm going to score this insect. 793 00:38:14,426 --> 00:38:15,558 Yeah, that's what I thought. 794 00:38:15,661 --> 00:38:17,060 [chuckle] 795 00:38:25,604 --> 00:38:26,736 It's going to be ok. 796 00:38:26,838 --> 00:38:27,871 You're going to love this. 797 00:38:38,750 --> 00:38:39,649 Yeah, yeah. 798 00:38:40,752 --> 00:38:41,685 Ok. 799 00:38:41,787 --> 00:38:44,287 So I see a little bit of it has dried. 800 00:38:44,389 --> 00:38:46,489 We probably want to put more glue, otherwise, 801 00:38:46,591 --> 00:38:47,791 I think it's just going to fall off. 802 00:38:47,893 --> 00:38:48,658 Yeah. 803 00:38:48,760 --> 00:38:49,793 And it just did. 804 00:38:49,895 --> 00:38:51,961 Here, you hold it, chris. 805 00:38:52,064 --> 00:38:53,296 And I'll try to get glue. 806 00:38:55,334 --> 00:38:56,866 So you want to put some glue on from the sides-- 807 00:38:57,002 --> 00:38:58,168 No, no, no. Her wings are getting stuck. 808 00:38:58,270 --> 00:38:59,102 It's no good. 809 00:39:00,605 --> 00:39:02,305 It just needs to chill. 810 00:39:08,880 --> 00:39:09,612 Relax. 811 00:39:09,715 --> 00:39:10,447 Just relax. 812 00:39:10,549 --> 00:39:11,281 It's fine. 813 00:39:11,383 --> 00:39:12,315 Wings are all ripped up. 814 00:39:12,417 --> 00:39:13,283 Well. 815 00:39:15,120 --> 00:39:15,952 Let's try it again. 816 00:39:18,156 --> 00:39:19,022 Come here, girl. 817 00:39:27,933 --> 00:39:32,335 This is a lot of crap to happen to this poor wasp. 818 00:39:32,437 --> 00:39:33,269 Yeah. 819 00:39:35,841 --> 00:39:37,006 Boy, do you think that's-- 820 00:39:37,109 --> 00:39:39,275 Do you think we still need to reinforce with glue? 821 00:39:39,378 --> 00:39:40,543 No, I think that's-- 822 00:39:40,645 --> 00:39:43,513 We don't want to risk getting her wings any gluier. 823 00:39:43,615 --> 00:39:47,050 Yeah, tap a little accelerant on there, but I mean, 824 00:39:47,152 --> 00:39:48,418 It's pretty much dry. 825 00:39:52,190 --> 00:39:53,022 Yeah. 826 00:39:54,926 --> 00:39:56,025 It's on there. 827 00:39:56,128 --> 00:39:57,594 It's on there pretty good though. 828 00:40:06,204 --> 00:40:07,937 She's not happy. 829 00:40:08,039 --> 00:40:09,406 No, not happy. 830 00:40:09,508 --> 00:40:10,507 You're right. 831 00:40:10,609 --> 00:40:12,442 So I'm going to put her in here for a minute. 832 00:40:12,544 --> 00:40:13,276 All right. 833 00:40:13,378 --> 00:40:14,210 Ok. 834 00:40:24,256 --> 00:40:25,655 Oh, it came off. 835 00:40:25,757 --> 00:40:27,557 [groaning] 836 00:40:34,332 --> 00:40:35,465 Didn't sleep last night. 837 00:40:35,567 --> 00:40:37,233 Full of weird anxiety dreams. 838 00:40:37,335 --> 00:40:39,002 I had a dream I was at seaworld. 839 00:40:39,104 --> 00:40:42,572 And I needed to sign my name on a piece of paper, 840 00:40:42,674 --> 00:40:44,374 And I couldn't sign it right. 841 00:40:44,476 --> 00:40:45,842 It's like the paper was all soggy. 842 00:40:45,944 --> 00:40:46,776 What a drag. 843 00:40:50,715 --> 00:40:51,681 Could also do the-- 844 00:40:53,752 --> 00:40:54,984 Tie the string too. 845 00:40:56,922 --> 00:40:58,221 See what I'm saying? 846 00:40:58,323 --> 00:40:59,189 Loop it around. 847 00:41:00,992 --> 00:41:03,760 Like a couple loops around the abdomen with string. 848 00:41:10,569 --> 00:41:11,434 Dental floss. 849 00:41:14,239 --> 00:41:18,741 We are going to try basically dangling it from the petiole, 850 00:41:18,844 --> 00:41:22,245 So the area where the mesosoma and the metasoma 851 00:41:22,347 --> 00:41:24,647 Are joined together is very, very narrow, very flexible. 852 00:41:24,749 --> 00:41:26,916 It's how a wasp can sting you all over the place. 853 00:41:27,018 --> 00:41:28,751 We're going to make a little cinchy noose. 854 00:41:28,854 --> 00:41:30,520 We'll put it around the abdomen, cinch it up, 855 00:41:30,622 --> 00:41:31,721 And just let the tag dangle. 856 00:41:33,258 --> 00:41:35,325 I would very much like this to work though. 857 00:41:36,661 --> 00:41:37,527 All right, lady. 858 00:41:39,264 --> 00:41:41,264 Ok, let's do this again. 859 00:41:53,945 --> 00:41:54,811 Now we're talking. 860 00:41:58,416 --> 00:41:59,716 Man: I see there. 861 00:41:59,818 --> 00:42:02,852 All right, now let her warm up. 862 00:42:06,157 --> 00:42:07,590 Let's get the phones. 863 00:42:07,692 --> 00:42:09,859 Get the gps going. 864 00:42:13,131 --> 00:42:14,130 [shout] 865 00:42:46,398 --> 00:42:47,997 Well, I don't think she's going to be able to fly. 866 00:42:48,099 --> 00:42:49,632 We glued her wings together. 867 00:42:49,734 --> 00:42:50,867 She's trying to-- 868 00:42:50,969 --> 00:42:52,001 Yeah. 869 00:42:52,103 --> 00:42:53,736 So we're going to have to catch another one. 870 00:43:06,217 --> 00:43:09,352 What I am wondering is if she is releasing 871 00:43:09,454 --> 00:43:11,254 Alarm pheromones as we speak. 872 00:43:11,356 --> 00:43:12,555 That's what I'm wondering. 873 00:43:16,328 --> 00:43:17,393 Yeah, that's a bummer. 874 00:43:27,272 --> 00:43:28,538 So are you going to take care of her 875 00:43:28,640 --> 00:43:29,539 For the rest of her life? 876 00:43:31,242 --> 00:43:34,177 If by "take care of her," you mean chop her legs 877 00:43:34,279 --> 00:43:36,245 Off and analyze her dna, yes. 878 00:43:54,799 --> 00:43:55,999 Ted mcfall: Is that the famous conrad. 879 00:43:56,067 --> 00:43:57,500 - Hi, I'm conrad. - You are the conrad. 880 00:43:57,602 --> 00:43:58,668 I'm ted mcfall. Nice to meet you. 881 00:43:58,770 --> 00:43:59,502 Oh, you're ted. Nice. 882 00:43:59,604 --> 00:44:00,570 Yeah, yeah. 883 00:44:00,672 --> 00:44:01,838 I recognize you from the youtube videos. 884 00:44:01,940 --> 00:44:02,905 Nice. 885 00:44:03,008 --> 00:44:04,407 So I'm on the end of just being a victim 886 00:44:04,509 --> 00:44:05,775 Of the asian giant hornet. 887 00:44:05,877 --> 00:44:07,243 So far, I haven't killed one. 888 00:44:07,345 --> 00:44:09,212 I haven't even seen one flying yet myself. 889 00:44:09,314 --> 00:44:11,748 So to meet the guy on the other side of the border that 890 00:44:11,850 --> 00:44:14,384 Has actually killed a nest and killed the murder hornets 891 00:44:14,486 --> 00:44:16,486 Over there, that's kind of like heroic for this part 892 00:44:16,588 --> 00:44:18,321 Of the country for sure. 893 00:44:18,423 --> 00:44:22,025 I had the dubious distinction of serving as the trigger 894 00:44:22,127 --> 00:44:26,462 Man for the eradication of the first nest 895 00:44:26,564 --> 00:44:30,933 Of asian giant hornets discovered in north america. 896 00:44:31,036 --> 00:44:33,836 About mid-August 2019, specimens started 897 00:44:33,938 --> 00:44:36,372 Showing up in the province of british columbia. 898 00:44:36,474 --> 00:44:38,608 A colleague of mine, she and her husband 899 00:44:38,710 --> 00:44:40,977 Were following a footpath along a creek 900 00:44:41,079 --> 00:44:44,447 And saw the flightline of the hornets going to their nest. 901 00:44:46,284 --> 00:44:48,985 I had some experience collecting entire colonies 902 00:44:49,087 --> 00:44:51,621 Of yellowjackets for the preparation 903 00:44:51,723 --> 00:44:53,623 Of desensitization serum for people 904 00:44:53,725 --> 00:44:55,958 That are allergic to yellowjacket stings. 905 00:44:56,061 --> 00:44:58,194 So she called me and said, we found the nest, 906 00:44:58,296 --> 00:44:59,595 We found the nest. 907 00:44:59,698 --> 00:45:02,565 Come over, and we'll do something. 908 00:45:02,667 --> 00:45:06,669 So I grabbed my carbon dioxide fire extinguisher 909 00:45:06,771 --> 00:45:09,939 And my handi-vac that I normally used for sucking 910 00:45:10,041 --> 00:45:11,074 Up the yellowjackets. 911 00:45:11,176 --> 00:45:14,243 I put on the kevlar vest that I have in case-- 912 00:45:14,345 --> 00:45:15,311 Interviewer: Bulletproof vest? 913 00:45:15,413 --> 00:45:16,412 Yeah, a bulletproof vest. 914 00:45:20,685 --> 00:45:22,985 I squatted down with the handi-vac. 915 00:45:23,088 --> 00:45:27,190 I turned it on and tried to suck up what I see coming 916 00:45:27,292 --> 00:45:28,224 Out of the nest entrance. 917 00:45:28,326 --> 00:45:29,158 And it's kind of like-- 918 00:45:29,260 --> 00:45:29,992 [buzzing] 919 00:45:30,095 --> 00:45:31,961 Like stuck to the nozzle. 920 00:45:32,063 --> 00:45:33,830 And it's like, this isn't going to work. 921 00:45:33,932 --> 00:45:36,866 And then it freed itself from the suction 922 00:45:36,968 --> 00:45:38,601 And then stung me four times. 923 00:45:39,971 --> 00:45:41,237 Yeah, it hurt. 924 00:45:41,339 --> 00:45:43,005 It's like red, hot thumbtacks being driven in your flesh. 925 00:45:43,108 --> 00:45:44,741 Not everybody's into that. 926 00:45:44,843 --> 00:45:47,176 I give them a dose of carbon dioxide. 927 00:45:55,086 --> 00:45:57,587 When insects are flying, they're metabolizing a lot 928 00:45:57,689 --> 00:46:00,223 Of oxygen. If you give them carbon 929 00:46:00,325 --> 00:46:03,192 Dioxide instead of oxygen, they basically suffocate-- 930 00:46:03,294 --> 00:46:04,627 [snap]-- right away. 931 00:46:06,831 --> 00:46:07,663 It's like dagobah. 932 00:46:11,035 --> 00:46:11,801 Look at this. 933 00:46:11,903 --> 00:46:12,835 The size of the cells. 934 00:46:12,937 --> 00:46:14,704 Oh my god. 935 00:46:14,806 --> 00:46:16,072 Oh, look at this. 936 00:46:16,174 --> 00:46:17,039 Oh my goodness. 937 00:46:17,142 --> 00:46:18,508 It was getting at the time of year 938 00:46:18,610 --> 00:46:21,944 Where sexual reproductives would be cast off, 939 00:46:22,046 --> 00:46:25,181 So it was pretty imperative that the nest be eradicated 940 00:46:25,283 --> 00:46:26,983 As quickly as possible. 941 00:46:27,085 --> 00:46:28,684 This, there's the queen. 942 00:46:28,787 --> 00:46:29,552 Oh, that's the queen? 943 00:46:29,654 --> 00:46:30,920 - So. - Let me see. 944 00:46:31,022 --> 00:46:31,754 Oh, look at her. 945 00:46:31,856 --> 00:46:32,588 Look at the size. 946 00:46:32,690 --> 00:46:34,557 Oh my god. 947 00:46:34,659 --> 00:46:35,591 Let me see the queen. 948 00:46:35,693 --> 00:46:36,959 Look how beautiful she is. 949 00:46:37,061 --> 00:46:37,794 Do you see her? 950 00:46:37,896 --> 00:46:38,628 I know. 951 00:46:38,730 --> 00:46:40,029 I know, I know. 952 00:46:40,131 --> 00:46:42,665 It is god's creature. 953 00:46:42,767 --> 00:46:43,633 Oh my god. 954 00:46:44,803 --> 00:46:46,235 There's a certain pang in having 955 00:46:46,337 --> 00:46:49,605 Been involved in its eradication on the island. 956 00:46:49,707 --> 00:46:51,707 It's a beautiful animal. 957 00:46:51,810 --> 00:46:55,912 But it's an invasive species, and the impacts 958 00:46:56,014 --> 00:46:58,047 That it might have on the environment 959 00:46:58,149 --> 00:47:00,483 Are unknown, so why risk it? 960 00:47:00,585 --> 00:47:01,884 Oh, awesome. Hit him. 961 00:47:01,986 --> 00:47:02,885 It's an asian giant hornet. 962 00:47:02,987 --> 00:47:04,487 Get him. 963 00:47:04,589 --> 00:47:06,489 I figured if we found the nest, 964 00:47:06,591 --> 00:47:08,825 I figured I'd go incognito. 965 00:47:10,695 --> 00:47:11,961 So that's the queen. 966 00:47:12,063 --> 00:47:13,029 She is huge. 967 00:47:13,131 --> 00:47:13,896 Yeah. 968 00:47:13,998 --> 00:47:14,864 Wow. 969 00:47:17,769 --> 00:47:18,568 Can I hold her? 970 00:47:18,670 --> 00:47:19,535 Yeah, for sure. 971 00:47:19,637 --> 00:47:20,870 Yeah. 972 00:47:20,972 --> 00:47:21,804 Wow. 973 00:47:21,906 --> 00:47:22,805 Like what I've been doing with-- 974 00:47:22,907 --> 00:47:24,507 Oh, [bleep]. 975 00:47:24,609 --> 00:47:25,441 I did it. 976 00:47:25,543 --> 00:47:27,543 I've done it twice already today. 977 00:47:27,645 --> 00:47:29,645 Here, let me hang it. 978 00:47:29,747 --> 00:47:31,047 Do you need the camera? 979 00:47:31,149 --> 00:47:32,682 Come on. 980 00:47:32,784 --> 00:47:34,250 My pet murder hornet. Oh. 981 00:47:34,352 --> 00:47:35,384 Ruthie danielsen: Oh my goodness. 982 00:47:35,486 --> 00:47:36,586 Conrad berube: Do you want to take off the mask? 983 00:47:36,688 --> 00:47:37,787 Yeah. Ruthie danielsen: Yeah, yeah. 984 00:47:37,889 --> 00:47:38,621 Conrad berube: There you go. Ruthie danielsen: Easy. 985 00:47:38,723 --> 00:47:39,589 Oh. 986 00:47:41,226 --> 00:47:43,059 Get a quick selfie with the famous conrad. 987 00:47:43,161 --> 00:47:45,995 Ok, we're going to look nobly in each direction 988 00:47:46,097 --> 00:47:47,096 And take our masks off. 989 00:47:47,198 --> 00:47:48,831 Ruthie danielsen: You want me to take it? 990 00:47:48,933 --> 00:47:49,966 Ok, ready? 991 00:47:50,068 --> 00:47:51,334 Look in the opposite direction and look noble. 992 00:47:57,308 --> 00:47:59,342 Yeah, normally, the sting is inside. 993 00:47:59,444 --> 00:48:01,410 But in death, they kind of lose their-- 994 00:48:01,512 --> 00:48:02,678 - Oh, sure. - You know? 995 00:48:02,780 --> 00:48:04,080 Yeah. 996 00:48:04,182 --> 00:48:05,882 It's going to be hard to get them though, don't you think? 997 00:48:05,984 --> 00:48:06,716 Yeah. 998 00:48:06,818 --> 00:48:08,117 Yeah. 999 00:48:08,219 --> 00:48:10,186 I feel like it's like trying to stop coronavirus or something, 1000 00:48:10,288 --> 00:48:11,520 You know? 1001 00:48:11,623 --> 00:48:14,257 Once it's here, how are you ever going to get them all? 1002 00:48:14,359 --> 00:48:15,191 Yeah. 1003 00:48:17,495 --> 00:48:19,462 Conrad just had offered to come 1004 00:48:19,564 --> 00:48:23,299 Down and share his insights from his experience 1005 00:48:23,401 --> 00:48:24,600 On vancouver island. 1006 00:48:24,702 --> 00:48:26,068 We've been discussing the biology 1007 00:48:26,170 --> 00:48:30,940 And kicking around ideas for how to better attract and monitor 1008 00:48:31,042 --> 00:48:33,876 For the workers who are out foraging. 1009 00:48:33,978 --> 00:48:38,214 So this is the rice wine and orange juice? 1010 00:48:38,316 --> 00:48:39,181 And honey. 1011 00:48:39,284 --> 00:48:40,283 Honey. 1012 00:48:40,385 --> 00:48:41,851 All right, nothing in that. 1013 00:48:41,953 --> 00:48:45,288 So where are you deciding to put your live traps? 1014 00:48:45,390 --> 00:48:46,889 So this one. 1015 00:48:47,025 --> 00:48:48,524 So this is a live trap, eh? 1016 00:48:50,628 --> 00:48:51,360 Wow. 1017 00:48:51,462 --> 00:48:53,229 Has a hornet in it. 1018 00:48:53,331 --> 00:48:56,065 This is the first one that I've caught in one of my traps. 1019 00:48:56,167 --> 00:48:57,266 We caught one. 1020 00:48:57,368 --> 00:49:00,836 And now we're going to tag it and follow it home. 1021 00:49:08,179 --> 00:49:09,445 Yeah, there. 1022 00:49:09,547 --> 00:49:10,379 Number 4. 1023 00:49:11,883 --> 00:49:14,784 So chris just glued on the little piece of string 1024 00:49:14,886 --> 00:49:15,952 That we're going to use to actually 1025 00:49:16,054 --> 00:49:17,253 Attach this to the hornet. 1026 00:49:17,355 --> 00:49:20,456 If you remember, last time, we had some issues 1027 00:49:20,558 --> 00:49:22,191 Being able to apply glue. 1028 00:49:22,293 --> 00:49:23,392 Kept moving around. 1029 00:49:23,494 --> 00:49:25,328 I think a little bit got on one of the hind wings. 1030 00:49:25,430 --> 00:49:27,396 And so now we're trying this method. 1031 00:49:27,498 --> 00:49:28,397 All right. 1032 00:49:33,805 --> 00:49:34,637 All right, girl. 1033 00:49:37,208 --> 00:49:38,040 She looks pretty cold. 1034 00:49:57,028 --> 00:49:57,860 Think you're good. 1035 00:50:00,898 --> 00:50:02,098 I've only got her by one wing now. 1036 00:50:03,701 --> 00:50:04,467 Careful. 1037 00:50:04,569 --> 00:50:05,401 Careful. 1038 00:50:06,938 --> 00:50:07,770 All right. 1039 00:50:12,977 --> 00:50:14,076 I'm not going to mess with it anymore. 1040 00:50:14,178 --> 00:50:15,411 It's just going to be where it is. 1041 00:50:17,348 --> 00:50:19,181 I actually wish I had made it a little bit tighter. 1042 00:50:19,283 --> 00:50:20,249 It's going to be fine. 1043 00:50:20,351 --> 00:50:21,183 Yeah. 1044 00:50:22,854 --> 00:50:24,687 All right, let's take her over here 1045 00:50:24,789 --> 00:50:25,988 Where we hope to release her. 1046 00:50:31,329 --> 00:50:32,361 All right, there. 1047 00:50:32,463 --> 00:50:33,696 Now she's up there, warming up. 1048 00:50:33,798 --> 00:50:34,897 Hopefully, she can walk around. 1049 00:50:46,010 --> 00:50:46,976 She's agitated. 1050 00:50:47,078 --> 00:50:47,910 Keep your distance. 1051 00:51:07,932 --> 00:51:08,764 There she goes. 1052 00:51:10,535 --> 00:51:12,268 All right, well, let's see. 1053 00:51:12,370 --> 00:51:13,969 Oh, yeah, I just got it. 1054 00:51:14,072 --> 00:51:15,237 This way. 1055 00:51:15,339 --> 00:51:16,806 Oh, yeah. 1056 00:51:16,908 --> 00:51:17,840 Yeah. 1057 00:51:17,942 --> 00:51:19,041 So I think somewhere up in these trees. 1058 00:51:19,143 --> 00:51:20,242 Pretty good. 1059 00:51:20,344 --> 00:51:23,045 Yeah, that actually means she's relatively close 1060 00:51:23,147 --> 00:51:25,147 Somewhere, somewhere up there. 1061 00:51:27,118 --> 00:51:28,517 Well, that didn't take long to lose sight, huh? 1062 00:51:28,619 --> 00:51:29,452 Yeah. 1063 00:51:40,865 --> 00:51:41,597 Are you still seeing it? 1064 00:51:41,699 --> 00:51:42,431 No. 1065 00:51:42,533 --> 00:51:43,232 Because I'm not either. 1066 00:51:43,334 --> 00:51:44,066 Nope. 1067 00:51:44,168 --> 00:51:45,201 She is gone somewhere. 1068 00:51:48,272 --> 00:51:50,573 Hey, chris, I'm going to walk around this way. 1069 00:51:50,675 --> 00:51:51,607 Ok. 1070 00:51:51,709 --> 00:51:52,675 You want to wander around over there? 1071 00:51:52,777 --> 00:51:53,609 Indeed. 1072 00:51:55,113 --> 00:51:56,512 I think she probably flew off. 1073 00:52:06,324 --> 00:52:07,556 I picked it up. 1074 00:52:07,658 --> 00:52:10,092 It was pretty strong there for a second, then it stopped. 1075 00:52:13,564 --> 00:52:14,330 Oh, yeah. 1076 00:52:14,432 --> 00:52:15,664 I got it. 1077 00:52:15,766 --> 00:52:16,732 Over here. 1078 00:52:16,834 --> 00:52:18,167 Still think they're back there somewhere. 1079 00:52:18,269 --> 00:52:19,301 I think that's it. 1080 00:52:19,403 --> 00:52:20,669 Now it's time to start wandering in the woods. 1081 00:52:20,771 --> 00:52:21,604 Yep. 1082 00:52:29,714 --> 00:52:32,314 Not sure I like this many people creeping up on a nest, guys. 1083 00:52:35,119 --> 00:52:35,951 Which fork? 1084 00:52:37,288 --> 00:52:39,054 I know everybody's excited, but please, 1085 00:52:39,157 --> 00:52:41,857 There is actually a real danger to what we're doing today. 1086 00:52:41,959 --> 00:52:43,225 Are you picking it up? 1087 00:52:43,327 --> 00:52:46,795 I think she looped back around the back side of the woods. 1088 00:52:46,898 --> 00:52:47,630 That way? 1089 00:52:47,732 --> 00:52:48,564 Yeah. 1090 00:52:53,104 --> 00:52:54,637 We lost the signal. 1091 00:52:54,739 --> 00:52:55,604 Just had it again. 1092 00:52:59,377 --> 00:53:01,343 Yeah, I'm getting really good signal 1093 00:53:01,445 --> 00:53:03,078 Pointing straight down here. 1094 00:53:03,181 --> 00:53:05,247 We lost it, and chris got it. 1095 00:53:05,349 --> 00:53:10,719 Yeah, chris is all the way back over on the other side 1096 00:53:10,821 --> 00:53:11,620 Of this yard. 1097 00:53:11,722 --> 00:53:13,122 That thing took off. 1098 00:53:13,257 --> 00:53:14,924 They can fly really fast. 1099 00:53:15,026 --> 00:53:17,493 I wonder if the nest isn't right there. 1100 00:53:17,595 --> 00:53:20,262 She could be underground. 1101 00:53:20,364 --> 00:53:22,598 So what brave soul's going to go wandering in there 1102 00:53:22,700 --> 00:53:23,432 To see what's going on? 1103 00:53:23,534 --> 00:53:24,333 Me. 1104 00:53:25,903 --> 00:53:28,237 I've got clippers in the truck. 1105 00:53:28,339 --> 00:53:30,239 Well, we're going to have to go buy a machete, but yeah. 1106 00:53:46,290 --> 00:53:48,557 But if I go in, I don't have a signal even slightly. 1107 00:53:48,659 --> 00:53:51,360 So she either got past us, or she's down in the ground 1108 00:53:51,462 --> 00:53:52,361 There somewhere. 1109 00:53:52,463 --> 00:53:53,963 These blackberry bushes are nasty. 1110 00:53:55,800 --> 00:53:58,367 Oldest trick-- go backwards through the blackberries. 1111 00:54:10,781 --> 00:54:14,183 Just wondering what I was thinking coming along on this. 1112 00:54:23,160 --> 00:54:24,827 All right, I have 100% lost it. 1113 00:54:28,699 --> 00:54:29,531 She's gone. 1114 00:54:31,869 --> 00:54:33,836 Hey, did you guys lose it? 1115 00:54:33,938 --> 00:54:35,504 I don't see it. 1116 00:54:35,606 --> 00:54:37,973 Yeah, we completely lost it. 1117 00:54:38,075 --> 00:54:39,575 If she started flying again, then 1118 00:54:39,677 --> 00:54:41,677 Who knows how far she's gone, right? 1119 00:54:43,080 --> 00:54:44,580 It's probably underground. 1120 00:54:46,083 --> 00:54:48,350 Everybody has lost it now. 1121 00:54:48,452 --> 00:54:49,418 They fly pretty fast. 1122 00:54:52,089 --> 00:54:53,589 What do you say we call it a day? 1123 00:54:53,691 --> 00:54:54,423 Yeah, call it a day. 1124 00:54:54,525 --> 00:54:55,391 Fun one. 1125 00:55:21,118 --> 00:55:22,451 He was like, I wonder what the current news 1126 00:55:22,553 --> 00:55:23,652 About murder hornets is. 1127 00:55:23,754 --> 00:55:25,554 So I looked it up, and the headline was something 1128 00:55:25,656 --> 00:55:28,290 Like, "washington state fails to track hornet again," 1129 00:55:28,392 --> 00:55:32,094 Which was true, but it was a bit of a downer headline. 1130 00:55:32,196 --> 00:55:35,130 I guess I was a little frustrated whenever they caught 1131 00:55:35,232 --> 00:55:37,266 A murder hornet, and got glue on its wings, 1132 00:55:37,368 --> 00:55:40,002 And had a little fiasco trying to put a tracker on them 1133 00:55:40,104 --> 00:55:41,036 And all that. 1134 00:55:41,138 --> 00:55:42,638 I was like, oh, here's our big chance. 1135 00:55:42,740 --> 00:55:44,006 And then they blew it. 1136 00:55:44,108 --> 00:55:46,008 I was like, oh, come on. 1137 00:55:46,110 --> 00:55:47,509 I know the entomologists feel like they 1138 00:55:47,611 --> 00:55:48,544 Already know everything. 1139 00:55:48,646 --> 00:55:50,846 But beekeepers are very well aware 1140 00:55:50,948 --> 00:55:53,048 Of putting creatures to sleep and waking them back up 1141 00:55:53,150 --> 00:55:53,982 And things like that. 1142 00:55:54,085 --> 00:55:57,419 And honestly, I was pretty upset. 1143 00:55:57,521 --> 00:55:59,588 One, this has never been done before. 1144 00:55:59,690 --> 00:56:03,258 Two, my god, try to get a collar on a cat 1145 00:56:03,361 --> 00:56:05,627 And see how easy that is sometimes. 1146 00:56:05,730 --> 00:56:09,598 And three, it's like, excuse me for saying this, 1147 00:56:09,700 --> 00:56:11,467 But [bleep] happens. 1148 00:56:11,569 --> 00:56:13,469 My ex mother-in-law would always say, 1149 00:56:13,571 --> 00:56:16,939 "it only gets worse," which is a very glass half empty 1150 00:56:17,041 --> 00:56:18,006 Kind of perspective, right? 1151 00:56:18,109 --> 00:56:20,008 But it also suggests that this is 1152 00:56:20,111 --> 00:56:23,979 Your best shot, so just assume this is all you've got 1153 00:56:24,081 --> 00:56:26,115 And go for it 100%. 1154 00:56:26,217 --> 00:56:30,386 Failure is always the logical conclusion of everything I do, 1155 00:56:30,488 --> 00:56:32,921 But not trying is even more failing. 1156 00:56:33,023 --> 00:56:34,723 So you just muscle through it and try 1157 00:56:34,825 --> 00:56:36,558 Not to let that mean voice in the back of your head 1158 00:56:36,660 --> 00:56:37,726 Tell you to quit. 1159 00:56:41,665 --> 00:56:45,100 These are the food traps that we set out yesterday. 1160 00:56:45,202 --> 00:56:48,570 But we had a proteinaceous bait, basically cat food. 1161 00:56:48,672 --> 00:56:50,472 This is tuna paté. 1162 00:56:50,574 --> 00:56:51,807 [meow] 1163 00:56:52,843 --> 00:56:53,575 What is that? 1164 00:56:53,677 --> 00:56:55,010 Is that a kitten? 1165 00:56:55,112 --> 00:56:55,978 Hey, cat. 1166 00:56:57,548 --> 00:56:59,381 What you doing? 1167 00:56:59,483 --> 00:57:00,382 Where'd you come from? 1168 00:57:03,888 --> 00:57:06,121 Find us some asian giant hornets? 1169 00:57:06,223 --> 00:57:09,425 In my mental wanderings, I was making the comparison 1170 00:57:09,527 --> 00:57:10,959 Of a sasquatch in saskatoon. 1171 00:57:11,061 --> 00:57:12,394 If you were in an apartment building, 1172 00:57:12,496 --> 00:57:14,329 And you saw a sasquatch, and then 1173 00:57:14,432 --> 00:57:16,665 It ran upstairs into one of the rooms 1174 00:57:16,767 --> 00:57:18,834 In the apartment building, finding it 1175 00:57:18,936 --> 00:57:20,536 Would be a challenge. 1176 00:57:20,638 --> 00:57:25,507 And the scale of having to find something in the great outdoors 1177 00:57:25,609 --> 00:57:28,277 As opposed to a single building is just 1178 00:57:28,379 --> 00:57:31,079 Astronomically more difficult. 1179 00:57:31,182 --> 00:57:33,449 You may have noted I'm not even looking up here because they're 1180 00:57:33,551 --> 00:57:36,251 Exclusively ground nesters. 1181 00:57:36,353 --> 00:57:42,057 So you're not going to find them above ground level. 1182 00:57:42,159 --> 00:57:45,127 The only way that you would find a nest in something like this 1183 00:57:45,229 --> 00:57:47,930 Is if you were to see hornets flying out 1184 00:57:48,032 --> 00:57:48,997 From the base of the debris. 1185 00:57:50,234 --> 00:57:53,469 In the forested area around nanaimo, 1186 00:57:53,571 --> 00:57:56,038 There are patches that are as impenetrable as here, 1187 00:57:56,140 --> 00:57:59,441 But it's not completely clogged with blackberry. 1188 00:57:59,543 --> 00:58:02,711 Well, I'm going to take the cat food down and leave 1189 00:58:02,813 --> 00:58:04,746 It for our little furry friend. 1190 00:58:04,849 --> 00:58:05,581 There you go. 1191 00:58:05,683 --> 00:58:06,448 Look. 1192 00:58:06,550 --> 00:58:08,050 There you go. 1193 00:58:08,152 --> 00:58:09,485 Just need to get the asian giant hornets 1194 00:58:09,587 --> 00:58:11,920 To respond the same way. 1195 00:58:12,022 --> 00:58:17,426 But best laid plans, mice and men, often go [inaudible].. 1196 00:58:20,865 --> 00:58:23,765 Frankly, I don't think they're going to find it. 1197 00:58:23,868 --> 00:58:24,766 Oh, hey. 1198 00:58:24,869 --> 00:58:26,702 I looked at the ferry schedule, and it 1199 00:58:26,804 --> 00:58:28,237 Looks like it makes more sense for me to try 1200 00:58:28,339 --> 00:58:29,471 And boot it home tonight. 1201 00:58:29,573 --> 00:58:30,839 Woman (on phone): Yeah. 1202 00:58:30,941 --> 00:58:32,774 If you could have anything from america, what would it be? 1203 00:58:35,212 --> 00:58:36,445 Ok. Woman (on phone): Yeah. 1204 00:58:36,547 --> 00:58:37,613 Have a good one. - Bye, sweetie. 1205 00:58:37,715 --> 00:58:38,480 Have a good day. 1206 00:58:38,582 --> 00:58:39,314 [kiss] 1207 00:58:39,416 --> 00:58:40,249 Bye. 1208 00:58:41,485 --> 00:58:43,352 [fog horn] 1209 00:58:48,859 --> 00:58:50,726 These gurkha knives are actually made to behead people. 1210 00:58:50,828 --> 00:58:53,228 This particular one was my grandfathers, 1211 00:58:53,330 --> 00:58:55,330 Who fought in world war ii. 1212 00:58:55,399 --> 00:58:57,833 They didn't believe in taking prisoners of war. 1213 00:58:57,935 --> 00:59:00,669 So they would catch the nazis, and when 1214 00:59:00,771 --> 00:59:02,571 The nazis would surrender, they would say, uh-uh. 1215 00:59:04,108 --> 00:59:05,941 As the murder hornet comes flying by, 1216 00:59:06,043 --> 00:59:08,944 It'll smell the sap from the tree, and it'll try to go in. 1217 00:59:09,046 --> 00:59:10,712 And when it tries to go in, it'll accidentally 1218 00:59:10,814 --> 00:59:13,715 Bump the outside of this sticky stuff with his wings, 1219 00:59:13,817 --> 00:59:15,450 And he'll get captured on there. 1220 00:59:15,553 --> 00:59:18,320 It's poetic justice that I'm using a beheading tool 1221 00:59:18,422 --> 00:59:20,489 To try to stop the creatures that are here 1222 00:59:20,591 --> 00:59:23,091 On us soil, beheading bees. 1223 00:59:23,193 --> 00:59:25,561 My grandfather, he's been dead a long time. 1224 00:59:25,663 --> 00:59:27,696 I'm sure he'd be real proud of me right now to know that I'm 1225 00:59:27,798 --> 00:59:30,866 Using his gurkha beheading tool to try to help stop 1226 00:59:30,968 --> 00:59:31,900 This murder hornet problem. 1227 00:59:49,820 --> 00:59:50,586 All right. 1228 00:59:50,688 --> 00:59:51,787 All right. 1229 00:59:51,889 --> 00:59:53,755 I'm going to go put this in a location 1230 00:59:53,857 --> 00:59:56,058 I think a hornet's nest might be, 1231 00:59:56,160 --> 00:59:57,826 And then chris is going to try to find it. 1232 01:00:00,097 --> 01:00:02,831 This technology is a vhf radio tag 1233 01:00:02,933 --> 01:00:04,499 As opposed to a bluetooth chip. 1234 01:00:04,602 --> 01:00:07,202 In theory, the signal carries a little further. 1235 01:00:07,304 --> 01:00:10,439 And we should be able to pick it up again if it for some reason 1236 01:00:10,541 --> 01:00:11,373 Goes out of range. 1237 01:00:41,872 --> 01:00:42,704 Oh, yeah. 1238 01:00:44,908 --> 01:00:46,775 That works pretty well. 1239 01:00:46,877 --> 01:00:50,779 I mean, it just lights up hard when you get in the right zone. 1240 01:00:50,881 --> 01:00:52,214 He was within two feet of it. 1241 01:00:52,316 --> 01:00:55,784 And I guarantee, if we're sitting on a hornet's nest, 1242 01:00:55,886 --> 01:00:57,119 Two feet away from the hornet's nest 1243 01:00:57,221 --> 01:00:58,887 Is going to be close enough for us to find it. 1244 01:01:04,628 --> 01:01:06,862 Yesterday afternoon, I heard the noise again, 1245 01:01:06,964 --> 01:01:08,463 The loud buzzing sound. 1246 01:01:08,565 --> 01:01:10,799 He said the sound was kind of like a hummingbird. 1247 01:01:10,901 --> 01:01:13,535 He was hiding under the eaves there, and so I walked up, 1248 01:01:13,637 --> 01:01:14,569 I got close. 1249 01:01:14,672 --> 01:01:15,737 And I was watching him, but I couldn't get 1250 01:01:15,839 --> 01:01:16,805 Him while he was under there. 1251 01:01:16,907 --> 01:01:20,175 So he climbed onto his roof, which is the worst 1252 01:01:20,277 --> 01:01:21,977 Idea any human can have. 1253 01:01:22,079 --> 01:01:23,879 You don't swing nets at bugs on roofs. 1254 01:01:23,981 --> 01:01:25,113 That's how you fall off. 1255 01:01:25,215 --> 01:01:27,416 And then he just flew out and was hovering 1256 01:01:27,518 --> 01:01:28,617 Right there in front of me. 1257 01:01:28,719 --> 01:01:30,786 And when he did, I just made a swoop, 1258 01:01:30,888 --> 01:01:32,087 And then I rolled it up like that. 1259 01:01:32,189 --> 01:01:33,455 I saw chris do that. 1260 01:01:33,557 --> 01:01:34,656 And I got it. 1261 01:01:34,758 --> 01:01:38,026 It was like the platonic ideal of citizen-agency 1262 01:01:38,128 --> 01:01:39,394 Collaboration. 1263 01:01:39,496 --> 01:01:42,497 Well, philip, I'm surprised that you've done all this stuff. 1264 01:01:42,599 --> 01:01:44,266 I'm surprised I've done all this stuff. 1265 01:01:44,368 --> 01:01:45,167 Yeah? 1266 01:01:45,269 --> 01:01:46,168 Yeah. 1267 01:01:46,270 --> 01:01:48,103 My weeks don't usually go like this. 1268 01:01:48,205 --> 01:01:51,006 I'll be all depressed when it goes back to normal. 1269 01:01:51,108 --> 01:01:52,474 It was super cool to-- you know, 1270 01:01:52,576 --> 01:01:55,077 I don't want to say bond, but kind of bond with him that way. 1271 01:02:19,803 --> 01:02:21,570 The receivers seem to be working. 1272 01:02:24,141 --> 01:02:24,973 What was that? 1273 01:02:27,377 --> 01:02:29,845 That kind of looked like another hornet. 1274 01:02:29,947 --> 01:02:30,979 Did one just fly by? 1275 01:02:31,081 --> 01:02:32,013 I think it's a good sign. 1276 01:02:42,292 --> 01:02:43,325 Look at that stinger come out. 1277 01:02:43,427 --> 01:02:44,626 Yep, I see it. 1278 01:02:44,728 --> 01:02:45,794 Under there. 1279 01:02:45,896 --> 01:02:46,762 Watch it. Watch it. 1280 01:02:46,864 --> 01:02:47,696 Watch it. 1281 01:02:52,569 --> 01:02:53,401 Ok, watch out. 1282 01:02:53,504 --> 01:02:54,336 One leg there. 1283 01:02:55,639 --> 01:02:56,471 Oh, yeah. 1284 01:02:58,876 --> 01:02:59,708 You're on. 1285 01:02:59,810 --> 01:03:00,609 Nope. She's good. 1286 01:03:00,711 --> 01:03:01,543 Yeah. 1287 01:03:02,780 --> 01:03:03,612 Cut them. 1288 01:03:09,319 --> 01:03:10,051 All right. 1289 01:03:10,154 --> 01:03:10,986 Stand back. 1290 01:03:14,591 --> 01:03:17,659 So let's give her some jelly. 1291 01:03:19,997 --> 01:03:20,829 It's what hornets want. 1292 01:03:22,399 --> 01:03:23,431 Looks good. 1293 01:03:23,534 --> 01:03:24,766 Looks like there's nothing in the way of the wings. 1294 01:03:26,236 --> 01:03:27,936 I like that she's eating now. 1295 01:03:28,038 --> 01:03:29,938 This is very encouraging. 1296 01:03:45,656 --> 01:03:46,521 It's looking good. 1297 01:03:48,492 --> 01:03:49,925 Now she just noticed the tag. 1298 01:03:58,101 --> 01:03:58,967 There it goes. 1299 01:04:04,508 --> 01:04:05,874 She's flying around. 1300 01:04:08,912 --> 01:04:09,878 [inaudible] 1301 01:04:14,952 --> 01:04:16,651 Yeah, I think it flew this way. 1302 01:04:16,753 --> 01:04:17,519 Which way? 1303 01:04:17,621 --> 01:04:18,453 Into the sun. 1304 01:04:21,425 --> 01:04:22,657 Well, she took off, didn't she? 1305 01:04:24,328 --> 01:04:25,260 Went home. 1306 01:04:25,362 --> 01:04:27,963 Yeah, let's go see where home is. 1307 01:04:36,173 --> 01:04:37,038 Getting it just right here. 1308 01:04:42,913 --> 01:04:44,946 I'm not hearing anything now. 1309 01:04:45,048 --> 01:04:46,715 Let's go around and get in a little bit deeper. 1310 01:04:50,888 --> 01:04:51,620 Nothing. 1311 01:04:51,722 --> 01:04:52,554 Nothing. 1312 01:04:55,325 --> 01:04:56,157 That way? 1313 01:05:00,664 --> 01:05:02,063 Maybe she's underground. 1314 01:05:03,533 --> 01:05:04,266 [radio click] 1315 01:05:04,368 --> 01:05:05,200 I heard that. 1316 01:05:08,272 --> 01:05:09,638 She's in here somewhere. 1317 01:05:11,942 --> 01:05:13,708 There's a chance that it's actually still just moving. 1318 01:05:15,245 --> 01:05:16,144 Could be just moving. 1319 01:05:18,649 --> 01:05:20,482 [radio clicking] 1320 01:05:29,293 --> 01:05:30,225 That was really loud. 1321 01:05:31,762 --> 01:05:34,596 I wouldn't be shocked if it was in that little gully there. 1322 01:05:42,506 --> 01:05:44,139 Stay back so I have a clear path to run. 1323 01:05:51,848 --> 01:05:52,814 This is nuts. 1324 01:05:52,916 --> 01:05:53,882 It's around somewhere. 1325 01:05:53,984 --> 01:05:56,251 It's either a nest or our tag, but where? 1326 01:05:56,353 --> 01:05:57,452 [dog barking] 1327 01:05:57,554 --> 01:05:59,454 It seems like it's got to be a tag at this point-- 1328 01:05:59,556 --> 01:06:01,823 A dead hornet or the dropped tag-- because I feel like we 1329 01:06:01,925 --> 01:06:03,058 Would all see hornets, no? 1330 01:06:03,160 --> 01:06:04,960 I feel like it because you're right on top of it. 1331 01:06:06,463 --> 01:06:07,262 Nothing here. 1332 01:06:07,397 --> 01:06:08,263 Where the hell is she? 1333 01:06:10,000 --> 01:06:10,732 Wait, wait, wait, wait. 1334 01:06:10,834 --> 01:06:11,666 Wait. 1335 01:06:13,003 --> 01:06:14,035 Sorry. 1336 01:06:14,137 --> 01:06:16,004 I just saw a mound of dirt under a tree there. 1337 01:06:21,211 --> 01:06:22,210 Chris, I hear it. 1338 01:06:27,551 --> 01:06:29,117 I heard it. 1339 01:06:29,219 --> 01:06:30,185 You mean the hornet? 1340 01:06:30,287 --> 01:06:31,219 Loud buzzing. 1341 01:06:31,321 --> 01:06:32,220 Right there. - There it goes. 1342 01:06:32,322 --> 01:06:33,154 Whoa. 1343 01:06:34,658 --> 01:06:35,857 That was not our hornet, was it? 1344 01:06:35,959 --> 01:06:36,691 I don't think so. 1345 01:06:36,793 --> 01:06:38,193 No. 1346 01:06:38,295 --> 01:06:39,127 Oh. 1347 01:06:40,530 --> 01:06:42,030 Ah, shit. 1348 01:06:42,132 --> 01:06:42,998 I see the hole. 1349 01:06:43,100 --> 01:06:45,133 It's not in the ground. 1350 01:06:45,235 --> 01:06:46,301 Are you kidding? 1351 01:06:46,403 --> 01:06:47,702 It's in a tree. 1352 01:06:47,804 --> 01:06:49,004 It's in the freaking tree? 1353 01:06:49,106 --> 01:06:50,005 Yes. 1354 01:06:50,107 --> 01:06:52,173 Holy crap. 1355 01:06:52,275 --> 01:06:53,742 (singing) we've got ourselves a nest. 1356 01:06:53,844 --> 01:06:54,776 Oh, oh! 1357 01:06:55,679 --> 01:06:56,878 We've got ourselves a problem. 1358 01:06:58,849 --> 01:07:00,348 How the hell are we going to kill that? 1359 01:07:06,189 --> 01:07:06,921 That's it. 1360 01:07:07,024 --> 01:07:08,656 That's the nest. 1361 01:07:08,792 --> 01:07:09,591 Oh, thank god. 1362 01:07:11,161 --> 01:07:12,160 Watch yourself, chris. 1363 01:07:24,608 --> 01:07:25,607 I want to talk to the homeowner 1364 01:07:25,709 --> 01:07:27,375 Then about taking this tree down. 1365 01:07:27,477 --> 01:07:28,643 Yeah. 1366 01:07:28,745 --> 01:07:30,378 I'm all turned around, so I don't know if we've 1367 01:07:30,480 --> 01:07:31,579 Talked to you before or not. 1368 01:07:35,185 --> 01:07:35,950 Let's take it. 1369 01:07:36,053 --> 01:07:36,818 Ok. 1370 01:07:36,920 --> 01:07:38,086 Ok. 1371 01:07:38,188 --> 01:07:39,754 I'm a potato farmer, so I've been gone the last month. 1372 01:07:39,856 --> 01:07:40,622 Oh, yeah? 1373 01:07:40,724 --> 01:07:41,589 Ok. 1374 01:07:42,659 --> 01:07:44,325 You need to [inaudible]. 1375 01:07:44,428 --> 01:07:45,593 All right. 1376 01:07:45,695 --> 01:07:46,728 - In theory-- - yeah? 1377 01:07:46,830 --> 01:07:47,996 They can get a little aggressive 1378 01:07:48,098 --> 01:07:48,863 If you get too close. 1379 01:07:48,965 --> 01:07:49,831 No kidding. 1380 01:07:49,933 --> 01:07:51,032 Holy. 1381 01:07:51,134 --> 01:07:52,567 Do you know, I come through with my lawn mower 1382 01:07:52,669 --> 01:07:53,935 And never seen them. 1383 01:07:54,037 --> 01:07:57,439 Yes, we're assuming you'll agree to let us deal with that. 1384 01:07:57,541 --> 01:07:59,374 It'll probably be Saturday morning. 1385 01:07:59,476 --> 01:08:00,542 To what? Take that tree down? 1386 01:08:00,644 --> 01:08:01,409 Well-- 1387 01:08:01,511 --> 01:08:02,444 Oh, kill them? 1388 01:08:02,546 --> 01:08:03,711 Kill the nest first, then take the tree down. 1389 01:08:03,814 --> 01:08:04,579 Light it up? 1390 01:08:04,681 --> 01:08:05,513 [laugh] 1391 01:08:06,383 --> 01:08:08,083 So you just come through the woods, or you just came around? 1392 01:08:08,185 --> 01:08:09,384 We came through the woods. 1393 01:08:09,486 --> 01:08:12,053 Normally, we ask first, but we had to follow her, so. 1394 01:08:12,155 --> 01:08:13,755 So is this the first nest you've found? 1395 01:08:13,857 --> 01:08:14,589 Yes. 1396 01:08:14,691 --> 01:08:15,490 The very first one? 1397 01:08:15,592 --> 01:08:16,691 First nest in the us. 1398 01:08:16,793 --> 01:08:17,892 Wow. 1399 01:08:17,994 --> 01:08:19,294 Canadians got one last year. 1400 01:08:19,396 --> 01:08:20,495 Look how big that thing is. 1401 01:08:20,597 --> 01:08:22,297 Yeah, congratulations. 1402 01:08:22,399 --> 01:08:23,865 Let's see if you can buy some lottery tickets today. 1403 01:08:23,967 --> 01:08:24,799 No kidding. 1404 01:08:26,403 --> 01:08:27,669 I could use a lottery right now. 1405 01:08:33,243 --> 01:08:36,111 Chris looney: You compound the difficulty of even catching 1406 01:08:36,213 --> 01:08:39,747 These things to begin with with the complication of catching 1407 01:08:39,850 --> 01:08:43,118 Them alive and then figuring out a way to follow 1408 01:08:43,220 --> 01:08:44,285 Them back to their nest. 1409 01:08:44,387 --> 01:08:47,155 That's pretty challenging. 1410 01:08:47,257 --> 01:08:49,557 The public service thing is part of my family. 1411 01:08:49,659 --> 01:08:52,760 I'm the only male in three generations that wasn't 1412 01:08:52,863 --> 01:08:54,762 Actually in the military. 1413 01:08:54,865 --> 01:08:57,665 I have a brother who is a very successful major in the army. 1414 01:08:57,767 --> 01:09:00,535 I have a cousin who is a master chief petty officer. 1415 01:09:00,637 --> 01:09:03,371 That's like the highest rank you can be in the coast guard. 1416 01:09:03,473 --> 01:09:04,639 I got a lot to live up to. 1417 01:09:04,741 --> 01:09:06,841 But I have massive issues with authority. 1418 01:09:06,943 --> 01:09:08,943 I would be a crappy soldier. 1419 01:09:09,045 --> 01:09:12,814 Being a public servant is awesome. 1420 01:09:12,916 --> 01:09:15,884 I love that I work for every person that 1421 01:09:15,986 --> 01:09:17,352 Can figure out how to call me. 1422 01:09:17,454 --> 01:09:18,753 And because of that, I don't want 1423 01:09:18,855 --> 01:09:22,190 To be just some slug sitting in an office 1424 01:09:22,292 --> 01:09:24,125 Somewhere, taking up public money. 1425 01:09:24,227 --> 01:09:25,460 And one of those jobs that we have 1426 01:09:25,562 --> 01:09:29,030 Is to try and do our very, very best to eradicate things 1427 01:09:29,132 --> 01:09:30,765 That we don't want in north america, 1428 01:09:30,867 --> 01:09:32,200 Specifically washington state. 1429 01:09:32,302 --> 01:09:33,935 And we got one. 1430 01:09:34,037 --> 01:09:35,503 I feel like the money that everybody 1431 01:09:35,605 --> 01:09:39,207 Paid for me to do my job was better spent than not. 1432 01:09:39,309 --> 01:09:41,609 Now they can say, "washington state finds hornets in trees, 1433 01:09:41,711 --> 01:09:43,178 Even though they said they'd never be in trees," 1434 01:09:43,280 --> 01:09:44,345 Or something like that. 1435 01:09:44,447 --> 01:09:45,580 Maybe that will be the negative spin. 1436 01:09:48,418 --> 01:09:51,753 The scientists consider it, and they determined 1437 01:09:51,855 --> 01:09:54,789 That there are more negatives than positives 1438 01:09:54,891 --> 01:09:56,057 About them being here. 1439 01:09:56,159 --> 01:09:59,694 And so they decided this is the best thing to do. 1440 01:09:59,796 --> 01:10:01,462 And I trust them in that decision. 1441 01:10:01,565 --> 01:10:04,465 But they are beautiful insects and interesting insects. 1442 01:10:04,568 --> 01:10:06,501 And in some ways, it maybe wouldn't 1443 01:10:06,603 --> 01:10:10,738 Feel so bad to have an insect like that around here. 1444 01:10:10,840 --> 01:10:12,373 I feel sad. 1445 01:10:12,475 --> 01:10:14,442 If they didn't hurt the honeybees, 1446 01:10:14,544 --> 01:10:16,077 What would be wrong with them? 1447 01:10:18,448 --> 01:10:19,180 Yeah, look at that. 1448 01:10:19,282 --> 01:10:20,114 Look at that beast. 1449 01:10:22,052 --> 01:10:24,886 What a evil, little creature. 1450 01:10:24,988 --> 01:10:26,955 What a evil, little creature. 1451 01:10:27,057 --> 01:10:30,725 It just felt really good to know that the next day, all of them 1452 01:10:30,827 --> 01:10:31,859 Were going to be dead. 1453 01:10:31,962 --> 01:10:33,628 Oh, I would love to have stomped them. 1454 01:10:33,730 --> 01:10:35,430 The only way that it would be more justice 1455 01:10:35,532 --> 01:10:37,031 Is if they would have let me go in, 1456 01:10:37,133 --> 01:10:38,233 Behead all the murder hornets. 1457 01:10:38,335 --> 01:10:39,701 Glue them all down to something and let 1458 01:10:39,803 --> 01:10:42,470 Me chop their little heads off or something. 1459 01:10:42,572 --> 01:10:44,038 I just hate them so much, you know? 1460 01:10:44,140 --> 01:10:47,609 I mean, they already slaughtered so many of my bees last year. 1461 01:10:47,711 --> 01:10:49,677 So thank god that this particular colony 1462 01:10:49,779 --> 01:10:51,512 Is going to be wiped out tomorrow morning. 1463 01:10:51,615 --> 01:10:55,250 This little fella on this leaf that I'm looking at right now, 1464 01:10:55,352 --> 01:10:57,619 He'll be slaughtered. 1465 01:10:57,721 --> 01:10:59,621 We're going to him right back to hell where he came from. 1466 01:11:05,061 --> 01:11:07,729 As dangerous as these can be, and as much as I don't want 1467 01:11:07,831 --> 01:11:10,665 To be stung by them, the idea of murder hornets 1468 01:11:10,767 --> 01:11:13,534 Is a very hyperbolic nickname. 1469 01:11:13,637 --> 01:11:17,071 The concept of murdering things exists in an ethical sphere, 1470 01:11:17,173 --> 01:11:18,406 Right? 1471 01:11:18,508 --> 01:11:20,775 And that only makes sense for humans when we're talking 1472 01:11:20,877 --> 01:11:22,644 About what our morals are. 1473 01:11:24,147 --> 01:11:27,615 Ascribing our own ethics to the actions of other species, let 1474 01:11:27,717 --> 01:11:29,884 Alone insects, which are so different than vertebrates 1475 01:11:29,986 --> 01:11:33,221 That they're essentially an alien life form, is nonsense. 1476 01:11:37,594 --> 01:11:38,626 Still dangerous. 1477 01:11:38,728 --> 01:11:40,995 Maybe dangerous hornets, but not murder hornets. 1478 01:14:14,217 --> 01:14:15,783 News today from washington state. 1479 01:14:15,885 --> 01:14:18,019 It came in a statement of two words-- 1480 01:14:18,121 --> 01:14:19,020 "got them." 1481 01:14:19,122 --> 01:14:20,588 Today, federal agriculture authorities 1482 01:14:20,690 --> 01:14:23,357 Destroyed a murder hornet nest, the first ever 1483 01:14:23,460 --> 01:14:24,759 Found in the united states. 1484 01:14:24,861 --> 01:14:26,694 Reporter: This morning, finally, a major breakthrough 1485 01:14:26,796 --> 01:14:28,329 For washington state researchers who 1486 01:14:28,431 --> 01:14:29,964 Have found where some of the elusive hornets 1487 01:14:30,066 --> 01:14:31,232 Have been hiding. 1488 01:14:31,334 --> 01:14:33,334 Reporter: The first known nest of its kind in the us, 1489 01:14:33,436 --> 01:14:36,237 Discovered inside a tree north of seattle. 1490 01:14:36,339 --> 01:14:39,140 Many times, people say that working with government 1491 01:14:39,242 --> 01:14:41,809 Agencies is a waste of time. 1492 01:14:41,911 --> 01:14:43,678 And I have to disagree with that. 1493 01:14:43,780 --> 01:14:46,180 Working with washington state department of agriculture 1494 01:14:46,282 --> 01:14:47,815 Has been fabulous. 1495 01:14:47,917 --> 01:14:52,220 We have that synergy that occurs when you get a lot of people, 1496 01:14:52,322 --> 01:14:55,890 Kind of like the beehives, working on a common goal. 1497 01:14:55,992 --> 01:14:59,827 I can imagine when all those thousands of people that have 1498 01:14:59,929 --> 01:15:03,431 Put up traps heard that they found a nest, 1499 01:15:03,533 --> 01:15:06,734 There was a collective yay. 1500 01:15:06,836 --> 01:15:08,469 We are not in the clear yet. 1501 01:15:08,571 --> 01:15:10,371 Entomologists saying there is still a very good chance 1502 01:15:10,473 --> 01:15:11,772 There could be more nests. 1503 01:15:11,875 --> 01:15:14,175 Beekeepers hoping that's not the case. 1504 01:15:14,277 --> 01:15:18,746 The asian giant hornet is here because of humans 1505 01:15:18,848 --> 01:15:20,515 And the choices humans make. 1506 01:15:22,051 --> 01:15:23,518 Everything is connected. 1507 01:15:23,620 --> 01:15:26,387 If we tip the balance one way, it's 1508 01:15:26,489 --> 01:15:27,989 Going to have an impact on something 1509 01:15:28,091 --> 01:15:30,458 That we might not even have thought about. 1510 01:15:30,560 --> 01:15:33,427 Reporter: Left unchecked, murder hornets can potentially wipe 1511 01:15:33,530 --> 01:15:35,229 Out honeybees in north america. 1512 01:15:35,331 --> 01:15:36,898 It's very serious. 1513 01:15:37,000 --> 01:15:38,799 But score one for the scientists. 1514 01:15:38,902 --> 01:15:42,637 When we work together, when we have good science, 1515 01:15:42,739 --> 01:15:44,605 And if we get enough people engaged, 1516 01:15:44,707 --> 01:15:48,009 Then I absolutely believe that we have a chance 1517 01:15:48,111 --> 01:15:49,443 To eradicate this hornet. 1518 01:15:49,546 --> 01:15:51,913 I've seen so much stuff in my life 1519 01:15:52,015 --> 01:15:54,048 That people say I can't do. 1520 01:15:54,150 --> 01:15:55,483 It's like, no. 1521 01:15:55,585 --> 01:15:59,020 I reject that and say yes, we can. 1522 01:15:59,122 --> 01:16:00,187 Of course, we can. 1523 01:16:01,758 --> 01:16:04,892 So now let's find the second one. 1524 01:16:15,371 --> 01:16:17,204 We didn't eradicate the nest the day 1525 01:16:17,307 --> 01:16:18,406 We vacuumed it up, right? 1526 01:16:18,508 --> 01:16:20,942 All we did was catch a lot of insects and seal it. 1527 01:16:21,044 --> 01:16:23,144 And so what's going on in that nest is still a mystery. 1528 01:16:24,480 --> 01:16:25,713 Oh, I want that one. 1529 01:16:25,815 --> 01:16:27,014 Yeah. 1530 01:16:27,116 --> 01:16:28,249 I know. 1531 01:16:28,351 --> 01:16:30,952 Yeah, it looks like the queen, or a queen. 1532 01:16:31,054 --> 01:16:32,186 Yeah. 1533 01:16:32,288 --> 01:16:33,220 That's her. 1534 01:16:33,323 --> 01:16:35,156 So we cut the tree down, carved it 1535 01:16:35,258 --> 01:16:38,526 Into a movable section, and hauled it 1536 01:16:38,628 --> 01:16:40,061 Off to a laboratory to look at. 1537 01:16:42,765 --> 01:16:44,432 We ended up doing it at washington state university 1538 01:16:44,534 --> 01:16:46,033 Because they had a big cold room that we 1539 01:16:46,135 --> 01:16:48,035 Could be in that would keep them chilled 1540 01:16:48,137 --> 01:16:49,737 While we were working on it. 1541 01:16:49,839 --> 01:16:51,405 I looked out of my kitchen window, 1542 01:16:51,507 --> 01:16:53,341 And I thought to myself, wow, this looks like somebody 1543 01:16:53,443 --> 01:16:55,009 Got murdered in our backyard. 1544 01:16:55,111 --> 01:16:57,612 There was tons of people with red lights, 1545 01:16:57,714 --> 01:17:00,114 And they were documenting everything. 1546 01:17:00,216 --> 01:17:03,117 And then the news started getting out that the first nest 1547 01:17:03,219 --> 01:17:04,619 Was in our backyard. 1548 01:17:04,721 --> 01:17:07,922 There's national news on this, not even just in the us, 1549 01:17:08,024 --> 01:17:09,323 Everywhere. 1550 01:17:09,425 --> 01:17:12,293 Sven was in charge of the tree part, and I told him, I'm like, 1551 01:17:12,395 --> 01:17:14,061 Ok, we're going to take this tree down. 1552 01:17:14,163 --> 01:17:15,429 Then what are we going to do? 1553 01:17:15,531 --> 01:17:16,263 They were here. 1554 01:17:16,366 --> 01:17:17,665 They got what they want. 1555 01:17:17,767 --> 01:17:19,634 And then here I am, stuck with the mess. 1556 01:17:19,736 --> 01:17:21,135 What do I get for this? 1557 01:17:21,237 --> 01:17:22,703 It's not the fact that there's a nest in it. 1558 01:17:22,805 --> 01:17:24,839 It's just my property, you know. 1559 01:17:24,907 --> 01:17:27,608 I paid taxes on that property, so we want it back. 1560 01:17:27,710 --> 01:17:30,077 I told them I wanted every specimen, 1561 01:17:30,179 --> 01:17:33,147 Every larva, everything back. 1562 01:17:33,249 --> 01:17:35,116 The same murder hornet chaos that 1563 01:17:35,218 --> 01:17:37,184 Has made people really engaged also 1564 01:17:37,286 --> 01:17:38,986 Makes them kind of want them. 1565 01:17:39,088 --> 01:17:42,723 Because this species is an introduced species, 1566 01:17:42,825 --> 01:17:45,493 It is not governed by washington state fish and wildlife laws 1567 01:17:45,595 --> 01:17:46,594 Explicitly. 1568 01:17:46,696 --> 01:17:47,995 There's kind of this gray empty area. 1569 01:17:48,097 --> 01:17:51,132 And so the landowner just said, I want this nest back. 1570 01:17:51,234 --> 01:17:52,867 He says, nothing gets released unless it's 1571 01:17:52,969 --> 01:17:54,435 Approved by me in writing, so. 1572 01:17:58,207 --> 01:17:59,373 I guess I had thought we would open 1573 01:17:59,475 --> 01:18:01,642 It exactly on the other side, but that's pretty deep. 1574 01:18:01,744 --> 01:18:04,345 I don't think anything is coming out in this temperature. 1575 01:18:04,447 --> 01:18:05,312 I'm going to roll it. 1576 01:18:07,884 --> 01:18:08,783 There's quite a few in there. 1577 01:18:10,887 --> 01:18:11,886 Do you want to gas it? 1578 01:18:11,988 --> 01:18:12,820 Yeah. 1579 01:18:16,059 --> 01:18:17,925 That ought to slow them down. 1580 01:18:28,871 --> 01:18:29,970 Split that tree open. 1581 01:18:31,941 --> 01:18:32,740 Oh, there's quite a few. 1582 01:18:32,842 --> 01:18:33,574 Yeah. 1583 01:18:33,676 --> 01:18:34,508 Stay back. 1584 01:18:34,610 --> 01:18:35,643 Keep your eyes open. 1585 01:18:35,745 --> 01:18:37,111 [inaudible] found all of these living wasps. 1586 01:18:37,213 --> 01:18:39,013 They're crawling around. 1587 01:18:39,115 --> 01:18:41,382 All right, let's pick those suckers off. 1588 01:18:41,484 --> 01:18:42,683 How fast can you guys run? 1589 01:18:45,054 --> 01:18:46,253 Oh, she's a big one. 1590 01:18:46,355 --> 01:18:48,889 We opened it up, and there was a nest six combs deep. 1591 01:18:48,991 --> 01:18:50,558 Quite a few hatched out, I think. 1592 01:18:50,660 --> 01:18:52,493 Yeah, this was an interesting one here. 1593 01:18:52,595 --> 01:18:55,696 It looks like they started cannibalizing their own. 1594 01:18:55,798 --> 01:18:56,931 Lunch. 1595 01:18:57,033 --> 01:18:58,132 [laughter] 1596 01:18:58,234 --> 01:19:01,001 There were still almost 200 larvae in it. 1597 01:19:01,104 --> 01:19:03,804 76 living queens. 1598 01:19:03,906 --> 01:19:06,407 One of them, presumably, was the foundress. 1599 01:19:06,509 --> 01:19:08,976 The other ones were all the new queens that were emerging. 1600 01:19:09,078 --> 01:19:13,013 I think we got that nest, frankly, right before they all 1601 01:19:13,116 --> 01:19:13,848 Would have left. 1602 01:19:13,950 --> 01:19:14,882 That's our tag. 1603 01:19:14,984 --> 01:19:16,684 That's our tracking tag. 1604 01:19:16,786 --> 01:19:20,254 There is no doubt that had we not destroyed this nest, 1605 01:19:20,356 --> 01:19:23,724 Each of those queens could be a new nest next year. 1606 01:19:23,826 --> 01:19:25,025 We didn't get the whole species. 1607 01:19:25,128 --> 01:19:28,662 It's one triumph on a very long road to winning this race 1608 01:19:28,765 --> 01:19:31,532 To eradicate things that we don't want in north america, 1609 01:19:31,634 --> 01:19:33,267 Specifically washington state. 1610 01:19:33,369 --> 01:19:34,401 Agriculture, this is chris. 1611 01:19:36,038 --> 01:19:36,871 How's it going, man? 1612 01:19:40,042 --> 01:19:41,008 We're all right. 1613 01:19:41,110 --> 01:19:43,344 We opened up that nest, and actually, I 1614 01:19:43,446 --> 01:19:45,546 Was going to call you because I have a proposal for you, 1615 01:19:45,648 --> 01:19:47,281 And that would be a lot more specimens for you 1616 01:19:47,383 --> 01:19:48,682 If you're interested. 1617 01:19:48,785 --> 01:19:51,652 But I would ask, in return, if we can maybe take six of them 1618 01:19:51,754 --> 01:19:53,854 And get them to some of these pheromone researchers. 1619 01:19:53,956 --> 01:19:56,657 The ability to get a fresh queen is really unprecedented. 1620 01:19:56,759 --> 01:19:58,993 I don't think we'd have that opportunity another time. 1621 01:19:59,095 --> 01:20:01,295 There's essentially 100 queens in there by now. 1622 01:20:01,397 --> 01:20:03,831 I talked him into giving up eight queens. 1623 01:20:13,276 --> 01:20:14,608 It was very unexpected. 1624 01:20:14,710 --> 01:20:16,143 Never would have anticipated that. 1625 01:20:16,245 --> 01:20:20,214 It was 100% a slap in the face finding out that I suddenly had 1626 01:20:20,316 --> 01:20:22,950 To beg for access to this nest. 1627 01:20:23,052 --> 01:20:25,019 American taxpayers had spent, basically, 1628 01:20:25,121 --> 01:20:27,254 At this point, a half a million bucks to track 1629 01:20:27,356 --> 01:20:29,323 A nest down and capture it. 1630 01:20:29,425 --> 01:20:32,426 And then suddenly, we had this unanticipated barrier. 1631 01:20:32,528 --> 01:20:34,261 And this is a big dog. 1632 01:20:34,363 --> 01:20:37,264 People sell them all over the internet, I'm finding out, 1633 01:20:37,366 --> 01:20:39,400 30 to 50 bucks apiece. 1634 01:20:39,502 --> 01:20:41,501 I should have over a hundred of them, 1635 01:20:41,571 --> 01:20:43,370 And I plan to sell them on ebay. 1636 01:20:44,874 --> 01:20:46,106 Chris looney: If you've got a hundred 1637 01:20:46,209 --> 01:20:47,842 Things you can sell for 40 bucks a pop, 1638 01:20:47,944 --> 01:20:49,510 That's a big chunk of money. 1639 01:20:49,645 --> 01:20:52,046 It's hard for me to say that's the wrong thing 1640 01:20:52,148 --> 01:20:55,149 For you to do without just being moralizing and grandstanding. 1641 01:20:55,251 --> 01:20:58,085 Nothing's really too significant about these to me. 1642 01:20:58,187 --> 01:21:00,054 They're just another bee. 1643 01:21:00,156 --> 01:21:02,990 It's just one of those things that it 1644 01:21:03,092 --> 01:21:06,093 Would be a good wall art, I guess, in the house, you know? 1645 01:21:06,195 --> 01:21:08,329 Get it mounted or something. 1646 01:21:08,431 --> 01:21:09,763 I was going to make him a display 1647 01:21:09,866 --> 01:21:13,434 Case with the comb and all the specimens and stuff. 1648 01:21:13,536 --> 01:21:14,368 And I'm like, well, [bleep] it. 1649 01:21:14,470 --> 01:21:15,269 Here's your frozen nest. 1650 01:21:15,371 --> 01:21:16,103 Right? 1651 01:21:16,205 --> 01:21:17,171 I'm not going to do that now. 1652 01:21:17,273 --> 01:21:18,706 On 3. 1653 01:21:18,808 --> 01:21:20,741 It was a blow to science. 1654 01:21:20,843 --> 01:21:22,610 It was a blow to american history 1655 01:21:22,712 --> 01:21:23,978 Is actually what I see it as. 1656 01:21:24,080 --> 01:21:27,348 I still think this should be preserved in the smithsonian. 1657 01:21:27,450 --> 01:21:28,382 All right. 1658 01:21:28,484 --> 01:21:29,783 Well, everybody have a good weekend. 1659 01:21:29,886 --> 01:21:31,218 Drive safely, sven. 1660 01:21:31,320 --> 01:21:32,620 See you later. 1661 01:21:39,996 --> 01:21:42,329 (singing) happy birthday to dada. 1662 01:21:42,431 --> 01:21:45,332 Happy birthday to you. 1663 01:21:45,434 --> 01:21:46,267 Thank you. 1664 01:21:47,670 --> 01:21:50,571 I'm going to blow it out covid-19-friendly. 1665 01:21:50,673 --> 01:21:52,740 4, 1. 1666 01:21:52,842 --> 01:21:53,607 That's it. 1667 01:21:53,709 --> 01:21:54,575 Yay. 1668 01:21:55,611 --> 01:21:56,944 I'm not sure about the wine with the cake. 1669 01:21:57,046 --> 01:21:58,879 I think maybe I should've gone with the milk with the cake. 1670 01:22:02,852 --> 01:22:03,918 Oh. 1671 01:22:04,020 --> 01:22:05,486 It's a bug zapper. 1672 01:22:05,588 --> 01:22:07,688 I didn't see that one coming. 1673 01:22:07,790 --> 01:22:10,758 Whenever I'm drinking our fine honey wine, 1674 01:22:10,860 --> 01:22:13,460 I like it whenever she plays the piano, because I feel refined. 1675 01:22:13,562 --> 01:22:14,328 I feel like I'm-- 1676 01:22:14,430 --> 01:22:15,262 Elegant? 1677 01:22:15,364 --> 01:22:17,097 --Upper crust kind of a person. 1678 01:22:17,199 --> 01:22:18,065 Play a song for us, kat. 1679 01:22:19,568 --> 01:22:21,235 Hey, come on, we're paying for these piano lessons. 1680 01:22:21,337 --> 01:22:23,003 We've got to take advantage of these. 1681 01:22:23,105 --> 01:22:26,640 Can you play the theme song for 2020? 1682 01:22:26,742 --> 01:22:27,975 I think you know what I'm talking about. 1683 01:22:29,979 --> 01:22:32,713 [plays "the exorcist" theme] 1684 01:22:34,250 --> 01:22:36,517 [laughter] 1685 01:22:36,619 --> 01:22:39,987 "2020-- pandemic." 1686 01:22:40,089 --> 01:22:44,491 "2020-- murder hornets." 1687 01:22:44,593 --> 01:22:45,859 For us to think that there's not more 1688 01:22:45,962 --> 01:22:48,529 Murder hornets in this area would be totally naive. 1689 01:22:48,631 --> 01:22:51,632 We successfully got rid of a nest, which is a big win. 1690 01:22:51,734 --> 01:22:53,167 But we're going to war. 1691 01:22:53,269 --> 01:22:54,668 And actually, I'm going to ask the department 1692 01:22:54,770 --> 01:22:56,971 Of agriculture, hey, do you need a master 1693 01:22:57,073 --> 01:22:58,605 Beekeeper on your team? 1694 01:22:58,708 --> 01:23:01,208 I'm convinced that real heroes are just 1695 01:23:01,310 --> 01:23:03,711 Regular people that try to do the right thing 1696 01:23:03,813 --> 01:23:05,346 And accidentally become heroes. 1697 01:23:12,421 --> 01:23:13,420 Jeff kornelis (voiceover): When I 1698 01:23:13,522 --> 01:23:16,290 Think about this hornet coming to my porch, 1699 01:23:16,392 --> 01:23:17,691 I often wonder why. 1700 01:23:17,793 --> 01:23:18,993 Why me? 1701 01:23:19,095 --> 01:23:21,895 I think these things happen for a reason. 1702 01:23:21,998 --> 01:23:26,233 Nature is more intelligent than we give it credit for. 1703 01:23:26,335 --> 01:23:30,604 It might seem hard to believe, or kind of woo woo, 1704 01:23:30,706 --> 01:23:35,309 But I think this hornet ended up on my porch 1705 01:23:35,411 --> 01:23:37,578 Because I would know what to do with it. 1706 01:23:39,015 --> 01:23:41,181 It was guided by its intelligence 1707 01:23:41,283 --> 01:23:43,517 To its final resting place. 1708 01:23:45,488 --> 01:23:49,056 Nature can bring us messages, whether or not 1709 01:23:49,158 --> 01:23:50,691 We're ready to hear it. 1710 01:23:50,793 --> 01:23:54,795 And I think these hornets are giving us a reminder that we 1711 01:23:54,897 --> 01:23:57,498 Need to be stewards for our environment 1712 01:23:57,600 --> 01:24:00,300 And do what we can to take care of it. 1713 01:24:02,605 --> 01:24:05,039 I see a lot of beauty in these hornets. 1714 01:24:05,141 --> 01:24:09,443 And I see that they do belong somewhere. 1715 01:24:12,782 --> 01:24:14,848 They just don't belong here. 1716 01:24:14,950 --> 01:24:23,457 [music - guided by voices, "I am a scientist"] 1717 01:24:23,559 --> 01:24:25,325 ♪ I am a scientist-- ♪ 1718 01:24:25,428 --> 01:24:29,897 ♪ I seek to understand me, all of my impurities and evils ♪ 1719 01:24:29,999 --> 01:24:31,265 ♪ yet unknown. ♪ 1720 01:24:31,367 --> 01:24:33,400 ♪ I am a journalist-- ♪ 1721 01:24:33,502 --> 01:24:37,604 ♪ I write to you to show you I am an incurable, ♪ 1722 01:24:37,706 --> 01:24:40,340 ♪ and nothing else behaves like me. ♪ 1723 01:24:45,514 --> 01:24:51,585 ♪ and I know what's right, but I'm losing sight ♪ 1724 01:24:51,687 --> 01:24:56,256 ♪ of the clues for which I search and choose, ♪ 1725 01:24:56,358 --> 01:24:59,726 ♪ to abuse, to just unlock my mind, ♪ 1726 01:24:59,829 --> 01:25:03,230 ♪ yeah, just unlock my mind. ♪ 1727 01:25:10,806 --> 01:25:15,175 ♪ I am a pharmacist-- prescriptions I will fill you. ♪ 1728 01:25:15,277 --> 01:25:18,679 ♪ potions, pills, and medicines to ease your painful lives. ♪ 1729 01:25:18,781 --> 01:25:21,648 ♪ I am a lost soul-- ♪ 1730 01:25:21,750 --> 01:25:23,150 ♪ I shoot myself with rock and roll. ♪ 1731 01:25:23,252 --> 01:25:25,385 ♪ the hole I dig is bottomless, but ♪ 1732 01:25:25,488 --> 01:25:27,121 ♪ nothing else can set me free. ♪ 1733 01:25:32,728 --> 01:25:37,598 ♪ and I know what's right, but I'm losing sight ♪ 1734 01:25:37,700 --> 01:25:43,036 ♪ of the clues for which I search and choose, ♪ 1735 01:25:43,139 --> 01:25:47,007 ♪ to abuse, to just unlock my mind, ♪ 1736 01:25:47,109 --> 01:25:50,010 ♪ yeah, just unlock my mind. ♪ 1737 01:25:58,120 --> 01:25:59,786 ♪ I am a scientist-- ♪ 1738 01:25:59,889 --> 01:26:02,055 ♪ I seek to understand me. ♪ 1739 01:26:02,158 --> 01:26:07,127 ♪ I am an incurable, and nothing else behaves like me. ♪ 1740 01:26:07,229 --> 01:26:08,328 ♪ everything is right. ♪ 1741 01:26:10,833 --> 01:26:13,700 ♪ everything works out right. ♪ 1742 01:26:15,304 --> 01:26:18,805 ♪ everything fades from sight because that's ♪ 1743 01:26:18,908 --> 01:26:21,241 ♪ all right with me. ♪ 123785

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