1 00:00:00,280 --> 00:00:02,840 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,160 --> 00:00:07,960 Speaker 1: It's ready. Are you welcome to stuff you should know 3 00:00:08,400 --> 00:00:12,080 Speaker 1: from how stuff works dot com? Welcome to the How 4 00:00:12,119 --> 00:00:16,160 Speaker 1: Stuff Works Podcast. I'm editor Candice Giftson, joined today by 5 00:00:16,560 --> 00:00:19,760 Speaker 1: two of my best friends in the office, Brior Josh Clark, 6 00:00:19,960 --> 00:00:26,079 Speaker 1: and editors. Hello. So we're talking today about whether or 7 00:00:26,079 --> 00:00:29,160 Speaker 1: not a dog is really a man's best friend or 8 00:00:29,200 --> 00:00:32,800 Speaker 1: a woman's true Short answer to this is yes, of course, 9 00:00:32,840 --> 00:00:35,600 Speaker 1: but illustraining this concept with the story of a Japanese 10 00:00:35,640 --> 00:00:40,920 Speaker 1: dog and a key to new named We're all big 11 00:00:40,960 --> 00:00:43,240 Speaker 1: fans of how Chico here at how stuff works dot com. 12 00:00:43,440 --> 00:00:47,720 Speaker 1: A little background around the office. Candice wept openly when 13 00:00:47,760 --> 00:00:51,040 Speaker 1: she read this article. Um, it was amazing. It was 14 00:00:51,040 --> 00:00:54,040 Speaker 1: an amazing site. Uh and we now use it as 15 00:00:54,040 --> 00:00:57,120 Speaker 1: a measuring stick to determine whether, well how much humanity 16 00:00:57,200 --> 00:01:00,920 Speaker 1: one of our coworkers has. And a long story short, Um, 17 00:01:00,920 --> 00:01:03,080 Speaker 1: this one of our one of our poor coworkers, is 18 00:01:03,120 --> 00:01:06,800 Speaker 1: now considered a robot because she did not actually Uma 19 00:01:07,560 --> 00:01:10,800 Speaker 1: will cry at this article. So, um, we're all big 20 00:01:10,840 --> 00:01:13,000 Speaker 1: fans of hu Chiko. Somebody want to give some Chiko 21 00:01:13,080 --> 00:01:16,480 Speaker 1: background A Chico. I'd love to give some background on hachik. 22 00:01:16,680 --> 00:01:21,480 Speaker 1: His nickname was Hatchi. Essentially, he was a professor's dog 23 00:01:21,680 --> 00:01:24,800 Speaker 1: at a Japanese university and they were very close, so 24 00:01:24,880 --> 00:01:27,319 Speaker 1: close in fact, that Hitchiki would walk the professor to 25 00:01:27,440 --> 00:01:30,160 Speaker 1: work every day at the train station and then wait 26 00:01:30,240 --> 00:01:31,800 Speaker 1: for him at the train station when he came home 27 00:01:31,840 --> 00:01:35,160 Speaker 1: at night. And this continued for say ten twelve years, 28 00:01:35,200 --> 00:01:37,480 Speaker 1: Is that right? Yeah, I'd say about that. And then 29 00:01:37,560 --> 00:01:41,399 Speaker 1: one day, very tragically, the professor actually died while he 30 00:01:41,520 --> 00:01:45,479 Speaker 1: was at school and never returned, but Hichiko, undaunted waited 31 00:01:45,520 --> 00:01:48,360 Speaker 1: for him at the train station. He continued to come 32 00:01:48,400 --> 00:01:50,960 Speaker 1: every day and look for the professor even though he 33 00:01:51,000 --> 00:01:53,560 Speaker 1: wasn't coming home. And it got to the point that 34 00:01:53,560 --> 00:01:58,000 Speaker 1: people started to notice that the professor's dog clearly needed 35 00:01:58,040 --> 00:01:59,960 Speaker 1: a human being to belong to, so they gave the 36 00:02:00,000 --> 00:02:03,280 Speaker 1: dog to another family, but he routinely escaped from home 37 00:02:03,680 --> 00:02:05,880 Speaker 1: and returned every day to the train station in a 38 00:02:06,000 --> 00:02:10,239 Speaker 1: very um sad, Victorian orphan kind of way. He contracted 39 00:02:10,360 --> 00:02:16,240 Speaker 1: all sorts of diseases. Yeah, he he got the mange. 40 00:02:16,000 --> 00:02:20,200 Speaker 1: He became a little, uh, little street warren. I guess 41 00:02:20,200 --> 00:02:23,280 Speaker 1: you could possibly say, although they cleaned him up pretty well, 42 00:02:23,320 --> 00:02:26,600 Speaker 1: he's now stuffed at the Museum of Nature and Science 43 00:02:26,639 --> 00:02:30,880 Speaker 1: in Tokyo. Um. Even what they did, he's white as 44 00:02:31,000 --> 00:02:37,000 Speaker 1: a whistle here. Um that they buried his bones next 45 00:02:37,000 --> 00:02:40,760 Speaker 1: to the owner. Yeah, so had she goes in two 46 00:02:40,760 --> 00:02:46,320 Speaker 1: places at once. Um, we're here around here on the office. 47 00:02:46,360 --> 00:02:50,040 Speaker 1: We actually had a pretty big debate over this article. Um. 48 00:02:50,400 --> 00:02:53,800 Speaker 1: I when I wrote it, Chris actually edited. Candice had 49 00:02:53,840 --> 00:02:57,520 Speaker 1: nothing to do with except for crying. Um. The some 50 00:02:57,600 --> 00:03:01,680 Speaker 1: of the wording got changed. Originally I that Chico waited patiently, 51 00:03:02,000 --> 00:03:05,760 Speaker 1: and we had something of a debate cannad dog wait patiently? Um? 52 00:03:05,880 --> 00:03:12,320 Speaker 1: Or was what was I just anthropogenizing it? Well, no, 53 00:03:12,440 --> 00:03:15,640 Speaker 1: anthropogenizing it. You have to say it with the hitch 54 00:03:15,840 --> 00:03:20,480 Speaker 1: right after. We'll see. The thing is at how stuff works. 55 00:03:21,000 --> 00:03:22,880 Speaker 1: You know. One of the big things that we strive 56 00:03:22,960 --> 00:03:26,079 Speaker 1: for is to be as as scientifically accurate as possible, 57 00:03:26,080 --> 00:03:28,400 Speaker 1: and you know, we don't want to attribute these feelings 58 00:03:28,440 --> 00:03:30,720 Speaker 1: to a dog. But this is one of those things 59 00:03:30,760 --> 00:03:33,000 Speaker 1: that I'm actually kind of glad that we had the 60 00:03:33,040 --> 00:03:36,760 Speaker 1: debate about, because this is uh, this you know, obviously 61 00:03:36,800 --> 00:03:39,240 Speaker 1: this can't be quantified scientifically. But if you look at 62 00:03:39,480 --> 00:03:42,120 Speaker 1: Chico coming back day after day and fighting with other 63 00:03:42,160 --> 00:03:46,240 Speaker 1: dogs and catching you know, doggy diseases on his way 64 00:03:46,280 --> 00:03:49,480 Speaker 1: to the train station. Um. You know you've got to 65 00:03:49,520 --> 00:03:51,720 Speaker 1: say that that's I mean, obviously, you know, he could 66 00:03:51,720 --> 00:03:53,600 Speaker 1: have been waiting for people to give it more treats. 67 00:03:53,600 --> 00:03:56,920 Speaker 1: It could have been something, you know, very survivalistic. But 68 00:03:57,000 --> 00:03:59,280 Speaker 1: it doesn't seem that way. It seems like he was loyal. 69 00:03:59,320 --> 00:04:02,160 Speaker 1: It seems like he was waiting patiently, so sure, And 70 00:04:02,240 --> 00:04:04,360 Speaker 1: I mean he was doing this long before people started 71 00:04:04,400 --> 00:04:08,440 Speaker 1: giving him treats as well. Um. And also, there's been 72 00:04:08,520 --> 00:04:11,839 Speaker 1: studies that have shown that dogs are capable of displaying 73 00:04:12,200 --> 00:04:18,799 Speaker 1: or at least exhibiting um secondary emotions like jealousy, shame, pride, guilt. 74 00:04:19,360 --> 00:04:21,720 Speaker 1: And I think any dog owner knows that, you know, 75 00:04:21,960 --> 00:04:26,479 Speaker 1: the dog can feel emotions, can show emotions, including ones 76 00:04:26,480 --> 00:04:30,000 Speaker 1: that are supposedly just relegated to humans and chimps um. 77 00:04:30,120 --> 00:04:32,599 Speaker 1: So I don't think saying that he was waiting patiently 78 00:04:32,800 --> 00:04:37,000 Speaker 1: was anthropomorphizing him. Well. I think it's just simply one 79 00:04:37,000 --> 00:04:40,560 Speaker 1: of those situations where you know, we were airing on 80 00:04:40,600 --> 00:04:42,839 Speaker 1: the side of caution. I think it's up to everybody 81 00:04:42,839 --> 00:04:44,720 Speaker 1: to make up their own minds, and you can make 82 00:04:44,800 --> 00:04:48,920 Speaker 1: up your own mind too, Candice when they read is 83 00:04:48,960 --> 00:04:51,640 Speaker 1: a Dog really a Man's Best Friend? On how stuff 84 00:04:51,640 --> 00:04:56,160 Speaker 1: works dot com Exactly. For more on this and thousands 85 00:04:56,160 --> 00:04:59,680 Speaker 1: of other topics, visit how stuff works dot com. Let 86 00:04:59,720 --> 00:05:02,320 Speaker 1: us know what you think. Send an email to podcast 87 00:05:02,440 --> 00:05:07,600 Speaker 1: that How stuff works dot Com brought to you by 88 00:05:07,640 --> 00:05:11,040 Speaker 1: the reinvented two thousand twelve camera. It's ready, are you